diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 1cc58aab..daed7bd8 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -9,14 +9,14 @@ repos: stages: [commit] - repo: https://github.com/psf/black - rev: 23.1.0 + rev: 23.11.0 hooks: - id: black name: black stages: [commit] - repo: https://github.com/pre-commit/mirrors-mypy - rev: 'v1.1.1' # Use the sha / tag you want to point at + rev: 'v1.7.0' # Use the sha / tag you want to point at hooks: - id: mypy entry: mypy --install-types --non-interactive --config-file .mypy.ini @@ -24,7 +24,7 @@ repos: additional_dependencies: ["types-python-dateutil", "types-attrs", "types-PyYAML"] - repo: https://github.com/pre-commit/pre-commit-hooks - rev: v4.4.0 + rev: v4.5.0 hooks: - id: trailing-whitespace - id: end-of-file-fixer @@ -40,7 +40,7 @@ repos: - repo: https://github.com/charliermarsh/ruff-pre-commit - rev: v0.0.255 + rev: v0.1.5 hooks: - id: ruff args: [--fix] diff --git a/CHANGELOG.md b/CHANGELOG.md index 3e0829e8..fbfa64d5 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,3 +1,14 @@ +## v0.9.2 (13 November 2023) + +### General + +- Adds the PowerPoint file used in the NAWEA/WindTech 2023 Workshop. +- Updates all coming soon links and typos. + +### Bug Fixes + +- Fixes an edge-case introduced in v0.9.1 where traveling during a crew transfer process is able to occur after the end of the simulation period. + ## v0.9.1 (27 October 2023) - Removes the pre-public release analysis data and results, located at`library/original-outdated`, from the repository, but can be found in all releases prior to v0.9. This is being done to manage the package size and ensure it can be published to PyPI. @@ -20,7 +31,7 @@ - The use of unique naming for the servicing equipment is now enforced to ensure that there is no overlap and potential confusion in the model. - New, experimental plotting functionality has been added via `wombat.utilities.plot`. - `plot_farm_layout` plots the graph layout of the farm. Note that this will not work if realistic lat/lon pairs have not been provided in the layout CSV. - - `plot_farm_availability` plots a line chart of the monthly overall windfarm availability. Additional toggles allow for the plotting of individual turbines in the background and/or the a 95% confidence interval band around the farm's availability + - `plot_farm_availability` plots a line chart of the monthly overall windfarm availability. Additional toggles allow for the plotting of individual turbines in the background and/or a 95% confidence interval band around the farm's availability - `plot_detailed_availability` plots a heatmap of the hourly turbine and farm operational levels to help in debugging simulations where availability may be running suspiciously low (i.e., a turbine might have shut down or a cable failure didn't get repaired within a reasonable time frame). - `Simulation.service_equipment` is now a dictionary to provide clear access to the servicing equipment details. - `Simulation.from_config()` requires both a library input and a file name input for the configuration after deprecating the `library` field from the configuration requirements due to it being cumbersome @@ -29,7 +40,7 @@ ### Methodology Updates - Subassemblies and cables are now able to resample their next times to failure for all maintenance and failure activities, so that replacement events reset the timing for failures across the board. -- Systems are no longer interrupted once the servicing equipment addressing a repair or maintenance task is dispatched, and instead are interrupted just before the crew is transferred to begin repair, maintenance, or unmorring. This has a small net positive increase in the availability for short travel distances, but can vary if the travel time is more than a few hours (i.e., large distance to port, slow travel due to weather, & etc.) +- Systems are no longer interrupted once the servicing equipment addressing a repair or maintenance task is dispatched, and instead are interrupted just before the crew is transferred to begin repair, maintenance, or unmooring. This has a small net positive increase in the availability for short travel distances, but can vary if the travel time is more than a few hours (i.e., large distance to port, slow travel due to weather, & etc.) - When a tow to port repair is in the queue, no other repairs or maintenance activities will occur for that turbine until it's brought into port for repairs. ### Deprecations @@ -46,7 +57,7 @@ ### Bug Fixes -- Most of the `# type: ignore` comments have been removed or the past errors have been resolved +- Most of the `# type: ignore` comments have been removed, or the past errors have been resolved - Failure and maintenance logic in the `Cable` and `Subassembly` models have been wrapped in `if`/`else` blocks to ensure previously unreachable code still can't be reached under limited conditions - Fixes a bug in where the mobilization duration is logged. Previously, the mobilization duration was logged upon completion, but now is logged while during the actual mobilizing, with costs still being logged upon completion. - Fixes an uncommon error where repairs are made twice causing the simulation to fail. This was caused by a control mismatch in the unscheduled repair process, and was fixed by better tracking and controlling when a repair moves from "pending" (submitted), to "processing" (handed off to the servicing equipment for repair or to the port for a tow-to-port repair cycle), to "completed" (the repair is registered as complete). Additionally, the servicing equipment no longer relies on receiving the first repair from the repair manager on dispatch, and follows the same `get_next_request()` logic that will occur following the initial dispatch and repair. @@ -62,7 +73,7 @@ ### General - All `assert` statements are now only called when type checking is performed -- Replaces all `.get(lamda x: x == request)` with a 10x faster `.get(lambda x: x is request)` to more efficiently filter out the desired event to be removed from the repair manager and port repair manangement. +- Replaces all `.get(lamda x: x == request)` with a 10x faster `.get(lambda x: x is request)` to more efficiently filter out the desired event to be removed from the repair manager and port repair management. - `WombatEnvironment.weather` is now a Polars DataFrame to improve efficiency and indexing bottlenecks introduced in Pandas 2.0. - All subassembly cable files are read in once, and stored in a dictionary to provide a modest speed up for the simulation initialization. @@ -81,7 +92,7 @@ - Maintenance and failure simulation process interruptions were occuring prior to starting the process timing, and causing simulation failures. - Duplicated parameters were being processed in `WombatEnvironment.log_action` stemming from improper handling of varying parameters in some of the more complex control flow logic in *in situ* repairs. - Another edge case of negative delays during crew transfers where there is insufficient time remaining in the shift after account for weather, so the method was called recursively, but not exiting the original loop. - - `Port` managment of *in situ* and tow-to-port capable tugboats wasn't properly accounting for tugboats of varying capabilities, and assuming all tugboats could do both. The vessel management and repair processing were out of sync causing duplicated turbine servicing/towing. + - `Port` management of *in situ* and tow-to-port capable tugboats wasn't properly accounting for tugboats of varying capabilities, and assuming all tugboats could do both. The vessel management and repair processing were out of sync causing duplicated turbine servicing/towing. - `RepairManager` has consolidated the dispatching of servicing equipment to be the following categories instead of the previously complex logic: - If a request is a tow-to-port category, have the port initiate the process - If the dispatching thresholds are met, then have the port initiate a repair for port-based servicing equipment, otherwise the repair manager will dispatch the appropriate servicing equipment. @@ -112,10 +123,10 @@ In v0.6, due to a series of bug fixes, logic improvements, and feature additions - Variables `non_operational_start`, `non_operational_end` create the annualized period where operations are prohibited, resulting in the creation of the array `non_operational_dates` and set `non_operational_dates_set`. - Variables `reduced_speed_start`, `reduced_speed_end` create the annualized period where the maximum speed, `reduced_speed`, for all operations is imposed, resulting in the creation of the array `reduced_speed_dates` and set `reduced_speed_dates_set`. - Export Cables - - Models the export cabling system as a single cable between the substation and the interconnection point or as a connection between multiple subsations. for multiple connected substations, the model assumes they are independent systems. - - Adds support for "type" in the wind farm layout CSV file, which should be filled with either "substation" or "turbine". This column supports multi-substation farms so that accurate plots and connections can be made. For instance, multiple connected substatation, can now be accurately rendered and modeled in the farm. + - Models the export cabling system as a single cable between the substation and the interconnection point or as a connection between multiple substations. For multiple connected substations, the model assumes they are independent systems. + - Adds support for "type" in the wind farm layout CSV file, which should be filled with either "substation" or "turbine". This column supports multi-substation farms so that accurate plots and connections can be made. For instance, multiple connected substations, can now be accurately rendered and modeled in the farm. - Adds support for "upstream_cable_name" in the wind farm layout CSV file, to provide an individualized name to a cable in place of using the name field in the cable settings file for all similar cables. -- New library structure that mirrors ORBIT (see below diagram)! In v0.7, the orignal library structure will be officially deprecated in favor of the below, and during the v0.6 lifecycle a warning will be raised to instruct users where to place and structure folders going forward. +- New library structure that mirrors ORBIT (see below diagram)! In v0.7, the original library structure will be officially deprecated in favor of the below, and during the v0.6 lifecycle a warning will be raised to instruct users where to place and structure folders going forward. ``` ├── project @@ -141,22 +152,22 @@ In v0.6, due to a series of bug fixes, logic improvements, and feature additions - Fix numerous bugs in the repair logic introduced by the use of boolean checks and status switches, which also improve simulation performance. These issues were primarily caused by erroneously resetting the status, but with the new event setting and `.succeed()` logic to clear an operation, the previously incorrect resetting is much harder to do. - Continue to improve the performance of low-level simulation operations to realize further improvements in memory usage and simulation performance - Logging is now based on directly writing to CSV in place of the `logging`-based infrastructure - - All underlying infrastructure withing the simulation have also been updated to accommodate the different file types, which allows for more direct interation at the end of the simulation and enables PyArrow csv read/write + - All underlying infrastructure withing the simulation have also been updated to accommodate the different file types, which allows for more direct interaction at the end of the simulation and enables PyArrow CSV read/write - This enables: - deprecation warnings to be passed directly to the terminal/notebook without interfering with the file handling - reasonable speedups to simulation times by not having additional overhead from the logging and buffering - `Metrics.process_times()` has been converted to efficient pandas code for fast computation. - The Metrics example usage documentation page has been rewritten and reformatted to provide more helpful information to users -- `Metrics` methods now accurately account for the effect of substation oeprating reductions on upstream turbines so that each substation's subgraph multiplies the turbine operating capacity by the subastation operating capacity. -- Fixes a bug in the `RepairManager.get_next_highest_severity_request()` where requests aren't processed in first in, first out order with a serverity level priority. -- Remove duplicated logic in the the ``Subassembly`` and ``Cable`` maintenance and failure modeling ensuring that repetitive logic is identical between scenarios. +- `Metrics` methods now accurately account for the effect of substation operating reductions on upstream turbines so that each substation's subgraph multiplies the turbine operating capacity by the substation operating capacity. +- Fixes a bug in the `RepairManager.get_next_highest_severity_request()` where requests aren't processed in first in, first out order with a severity level priority. +- Remove duplicated logic in the ``Subassembly`` and ``Cable`` maintenance and failure modeling ensuring that repetitive logic is identical between scenarios. ## 0.5.1 (22 July 2022) - Updates to use the most recent pandas API/recommendations, which fixes numerous warnings in the `Metrics` class -- Fixes inconsistency in returning floats vs `DataFrame`s in the `Metrics` class +- Fixes inconsistency in returning floats vs `DataFrame`s in the `Metrics` class - Updates the examples to work with the returned `DataFrame` values, and adds warnings about the change in usage -- Updates the documenation configuration to be compatible with the latest sphinx book theme API usage +- Updates the documentation configuration to be compatible with the latest sphinx book theme API usage - Adds a potential fix to an occasional issue where the logging files can't be deleted using `WombatEnvironment.cleanup_log_files()` because the file is still considered to be in use ## 0.5.0 (30 June 2022) @@ -166,8 +177,8 @@ In v0.6, due to a series of bug fixes, logic improvements, and feature additions - Adds a `Port` class to handle the tow-to-port class and tugboat-based service requests - Allows for any name to define the subassemblies of a turbine or substation to enable users to use the naming conventions they are most familiar with or most meaningful for their own work - Minor bug fixes in the `Metrics` class to improve stability, improve code reuse, and documentation\ -- Adds nearly all documentation udpates from PR #39 as a result of an internal code review, but makes the changes in the source files that generate the example notebooks, so is not a direct merge -- Adds an annual fee to `PortConfig.annual_fee` that gets applied monthly, though is not included in any metrics as of yet. +- Adds nearly all documentation updates from PR #39 as a result of an internal code review, but makes the changes in the source files that generate the example notebooks, so is not a direct merge +- Adds an annual fee to `PortConfig.annual_fee` that gets applied monthly, though is not included in any metrics yet. - Adds `UnscheduledServiceEquipmentData.tow_speed` to differentiate between towing speeds and traveling speeds required between port and site, and implements the towing speed application appropriately - Adds a `location` flag to the events logging infrastructure and implements its usage across the simulation architecture - Creates the metric `Metrics.number_of_tows` to track the number of tows and provides breakdowns as needed @@ -188,9 +199,9 @@ In v0.6, due to a series of bug fixes, logic improvements, and feature additions ## 0.4.0 (2022-February-4) - Testing now included! -- `pathlib.Path` is used in place of `os` throughout for easier to read file manuevering. +- `pathlib.Path` is used in place of `os` throughout for easier to read file maneuvering. - `attrs.define` and `attrs.field` have been adopted in place of `attr.s` and `attr.ib`, respectively. -- typing style is updated for future python type annotations as, e.g., `Union[List[str], str]` -> +- Typing style is updated for future python type annotations as, e.g., `Union[List[str], str]` -> `list[str] | str`. - Unused imports have been further cleaned up. - Better caching of commonly computed values for faster simulations @@ -249,7 +260,7 @@ In v0.6, due to a series of bug fixes, logic improvements, and feature additions - `wombat.core.service_equipment.ServiceEquipment` has more attributes for tracking its location throughout a simulation. - `wombat.core.service_equipment.ServiceEquipment.find_uninterrupted_weather_window` now rounds - float inputs up to the nearest whole number to ensure the proper length window is retreived. + float inputs up to the nearest whole number to ensure the proper length window is retrieved. - `wombat.core.service_equipment.ServiceEquipment.find_interrupted_weather_window` uses `math.ceil` in place of `np.ceil().astype(int)` for strictly python data types in computation. - `wombat.core.service_equipment.ServiceEquipment.travel` consistently resets the location attributes @@ -265,15 +276,15 @@ In v0.6, due to a series of bug fixes, logic improvements, and feature additions - `wombat.core.service_equipment.ServiceEquipment.process_repair`: - fixes a bug in the hours to process calculation by reconfiguring the control flow for both simplicity and accuracy. - - Additionally, the equipment will travel back to port if the workshift is over, so the equipment + - Additionally, the equipment will travel back to port if the work shift is over, so the equipment does not skip steps the repair logic. - Weather delays will also not be processed if the actual repair is finished, and will be moved to the crew transfer step. - The hours required vs hours available is reset for equipment that have around the clock shifts, so the timing is not arbitrarily capped, which also reduces the number of steps in the simulation. - - The workshift indicator check now accounts for the equipment's specific workshift settings, and + - The work shift indicator check now accounts for the equipment's specific work shift settings, and not the environment's to ensure the proper operating parameters are used. - - The control flow for if there isn't enough time to perform teh repair is updated to accurately + - The control flow for if there isn't enough time to perform the repair is updated to accurately account for when and where the equipment needs to travel - Cables are no longer retrieved through system and causing an error when processing their repairs. - `wombat.core.service_equipment.ServiceEquipment._calculate_intra_site_time` now accounts for a @@ -286,7 +297,7 @@ In v0.6, due to a series of bug fixes, logic improvements, and feature additions retrieves the cable information for upstream cables to be reset. - `wombat.core.post_processor.Metrics.service_equipment_utilization` has a new methodolgy that uses the - acual number of days in operation instead of a backwards computation that consistently and + actual number of days in operation instead of a backwards computation that consistently and accurately accounts for the days where the servicing equipment is in operation. Additionally, the filtering is updated to match the filter for total days, which also improves accuracy of results. - `wombat.core.post_processor.Metrics.from_simulation_outputs` classmethod was added to easily load @@ -300,7 +311,7 @@ In v0.6, due to a series of bug fixes, logic improvements, and feature additions `wombat.windfarm.system.system.System` all have an operating level property that is the current operating level and one that does not account for if a system is being serviced, and therefore registered as non-operational. This fixes a bug in the dispatching of unscheduled service equipment - when a repair request is submitted while a repair is occuring that drops the operating level below + when a repair request is submitted while a repair is occurring that drops the operating level below the strategy threshold. In the dispatching check we now are able to consider the operating level before a system was shut down for repairs and avoid improper dispatching. @@ -310,7 +321,7 @@ In v0.6, due to a series of bug fixes, logic improvements, and feature additions and only interrupts the cable's own maintenance and failure simulation processes. - `wombat.windfarm.system.cable.Cable.interrupt_all_subassembly_processes` wraps `interrupt_processes` to ensure similar functionality between system and subassembly methods for use in the simulations. -- `wombat.windfarm.system.cable.Cable` logging now properly records itself as the target of repais +- `wombat.windfarm.system.cable.Cable` logging now properly records itself as the target of repairs and maintenance tasks instead of its starting node. - `wombat.windfarm.system.cable.Cable.upstream_nodes` has been updated to be in the correct order the nodes sit on the string @@ -331,26 +342,26 @@ In v0.6, due to a series of bug fixes, logic improvements, and feature additions - `Windfarm.current_availability` is able to account for multiple substations and is now an accurate calculation of the operating level across the windfarm. - `Simulation.from_inputs()` is replaced by `Simulation.from_config()` to be more - straightfoward for users. + straightforward for users. - `ServiceCrew` has been added for expansion to multiple crews. - Servicing equipment now have separate `travel` and `crew_transfer`, `weather_delay`, and `repair` functions to more realistically simulate the separate processes involved. - The windfarm now has a distance matrix to calculate the distance between any two - systems oniste, for instance, substation to cable, cable to turbine, etc. + systems onsite, for instance, substation to cable, cable to turbine, etc. - Bug fix in the task completion rate metric. - `WombatEnvironment.log_action()` enforces the use of keyword arguments with only 3 required inputs. - `WombatEnvironment.weather_forecast()` outputs now include the datetime index. - If no PySAM settings are provided, the `financial_model` will be set to `None` with a - `NotImplementedError` being raised for any attempted usage of the PySAM-powered + `NotImplementedError` being raised for any attempted usage of the PySAM powered functionality. -- Fix bugs in `Maintenance` and `Failure` initializations. +- Fix bugs in `Maintenance` and `Failure` initialization. - Fix bugs in operating level accounting from recent updates. -- Update the unicode typing in all docstrings. +- Update the Unicode typing in all docstrings. - Update the documentation to account for all the recent changes, including adding a new demonstration notebook for the 3 new strategies. ## 0.3.1 (2021-March-2) -- Updated the the `simulation/` folder to be a single-level `core/` directory. -- Updates the order of the keyword arguments for WombatEnvironment.log_action(), and makes all arguments keyword-only arguments. +- Updated the `simulation/` folder to be a single-level `core/` directory. +- Updates the order of the keyword arguments for `WombatEnvironment.log_action()`, and makes all arguments keyword-only arguments. diff --git a/docs/jupyter_execute/examples/how_to.ipynb b/docs/jupyter_execute/examples/how_to.ipynb index ed4e73c2..9918de23 100644 --- a/docs/jupyter_execute/examples/how_to.ipynb +++ b/docs/jupyter_execute/examples/how_to.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "efc3ba20", + "id": "4b289824", "metadata": {}, "source": [ "# How To Use WOMBAT\n", @@ -12,14 +12,14 @@ "\n", "## Imports\n", "\n", - "The following code block demonstrates a typical setup for working with WOMBAT and running\n", - "analyses." + "The following code block demonstrates a typical setup for working with WOMBAT and\n", + "running analyses." ] }, { "cell_type": "code", "execution_count": 1, - "id": "2bcd4597", + "id": "28e7cbdf", "metadata": {}, "outputs": [], "source": [ @@ -42,7 +42,7 @@ }, { "cell_type": "markdown", - "id": "fe8da8e2", + "id": "1aee3f5c", "metadata": {}, "source": [ "## Defining the Simulation\n", @@ -94,26 +94,32 @@ "`DINWOODIE` or `IEA_26` as is seen in the imports above, and a consistent path will be\n", "enabled.\n", "\n", - "In practice, any folder location can be used so long as it follows the subfolder structure provided\n", - "here.\n", + "In practice, any folder location can be used so long as it follows the subfolder\n", + "structure provided here.\n", "\n", + "### Wind Farm Layout\n", "\n", - "### Windfarm Layout\n", - "\n", - "The windfarm layout is determined by a csv file, `dinwoodie/windfarm/layout.csv` in this case. Below is a sample of what information is required and how to use each field, followed by a visual example. It should be noted that none of the headings are case sensitive.\n", - "\n", + "The wind farm layout is determined by a csv file, `dinwoodie/windfarm/layout.csv` in\n", + "this case. Below is a sample of what information is required and how to use each field,\n", + "followed by a visual example. It should be noted that none of the headings are\n", + "case-sensitive.\n", "\n", "id (required)\n", ": Unique identifier for the asset; no spaces allowed.\n", "\n", "substation_id (required)\n", - ": The id field for the substation that the asset connects to; in the case that this is a substation, then this field should be the same as id; no spaces allowed.\n", + ": The id field for the substation that the asset connects to; in the case that this is a\n", + " substation, then this field should be the same as `id`; no spaces allowed.\n", "\n", "name (required)\n", - ": A descriptive name for the turbine, if desired. This can be the same as id.\n", + ": A descriptive name for the turbine, if desired. This can be the same as `id`.\n", "\n", "type (optional)\n", - ": One of \"turbine\" or \"substation\". This is required to accurately model a multi-substation wind farm. The base assumption is that a substation connects to itself as a means to model the export cable connecting to the interconnection point, however, this is not always the case, as substations may be connected through their export systems. Using this filed allows for that connection to be modeled accurately.\n", + ": One of \"turbine\" or \"substation\". This is required to accurately model a\n", + " multi-substation wind farm. The base assumption is that a substation connects to\n", + " itself as a means to model the export cable connecting to the interconnection point,\n", + " however, this is not always the case, as substations may be connected through their\n", + " export systems. Using this filed allows for that connection to be modeled accurately.\n", "\n", "longitude (optional)\n", ": The longitudinal position of the asset, can be in any geospatial reference; optional.\n", @@ -125,10 +131,12 @@ ": The integer, zero-indexed, string number for where the turbine will be positioned.\n", "\n", "order (required)\n", - ": The integer, zero-indexed position on the string for where the turbine will be positioned.\n", + ": The integer, zero-indexed position on the string for where the turbine will be\n", + " positioned.\n", "\n", "distance (optional)\n", - ": The distance to the upstream asset; if this is calculated (input = 0), then the straightline distance is calculated using the provided coordinates (WGS-84 assumed).\n", + ": The distance to the upstream asset; if this is calculated (input = 0), then the\n", + " straight line distance is calculated using the provided coordinates (WGS-84 assumed).\n", "\n", "subassembly (required)\n", ": The file that defines the asset's modeling parameters.\n", @@ -137,7 +145,9 @@ ": The file that defines the upstream cable's modeling parameters.\n", "\n", "upstream_cable_name (optional)\n", - ": The descriptive name to give to the cable that will be used during logging. This enables users to use a single cable definition file while maintaining the naming conventions used for the wind farm being simulated.\n", + ": The descriptive name to give to the cable that will be used during logging. This\n", + " enables users to use a single cable definition file while maintaining the naming\n", + " conventions used for the wind farm being simulated.\n", "\n", "```{note}\n", "In the example below, there are a few noteworthy caveats that will set the stage for\n", @@ -176,13 +186,12 @@ ": A date and time stamp, any format.\n", "\n", "windspeed (required)\n", - ": The hourly, mean windspeed, in meters per second at the time stamp.\n", + ": The hourly, mean winds peed, in meters per second at the time stamp.\n", "\n", "waveheight (optional)\n", - ": The hourly, mean waveheight, in meters, at the time stamp. If waves are not required,\n", + ": The hourly, mean wave height, in meters, at the time stamp. If waves are not required,\n", " this can be filled with zeros, or be left out entirely.\n", "\n", - "\n", "Below, is a demonstration of what `weather/alpha_ventus_weather_2002_2014.csv` looks like.\n", "\n", "| datetime | windspeed | waveheight |\n", @@ -195,7 +204,6 @@ "| 12/31/14 22:00 | 14.40838803 | 0.869625003 |\n", "| 12/31/14 23:00 | 14.04563195 | 0.993031445 |\n", "\n", - "\n", "### Environmental Considerations\n", "\n", "In addition to using weather conditions for site characteristics, WOMBAT is able to\n", @@ -218,7 +226,6 @@ "`reduced_speed`. As is the case above, these variables can also be defined at the\n", "servicing equipment level for further customization.\n", "\n", - "\n", "### Fixed Costs\n", "\n", "Please see the [`FixedCosts` API documentation](../API/types.md#fixed-cost-model) for\n", @@ -227,7 +234,6 @@ "For modeling a tow-to-port strategy that the port rental costs should be included in\n", "this category, and not in the port configuration.\n", "\n", - "\n", "### Servicing Equipment\n", "\n", "The servicing equipment control the actual repairs within a simulation, and as of v0.5,\n", @@ -240,7 +246,7 @@ "For complete documentation of how the servicing equipment parameters are defined, please\n", "see the [ServiceEquipmentData API documentation](../API/types.md#service-equipment)\n", "\n", - "Below is an definition of the different equipment codes and their designations to show\n", + "Below is a definition of the different equipment codes and their designations to show\n", "the breadth of what can be simulated. These codes do not have separate operating models,\n", "but instead allow the user to specify the types of operations the servicing equipment\n", "will be able to operate on. This model should be aligned with the `service_equipment`\n", @@ -273,7 +279,7 @@ "\n", "AHV\n", ": anchor handling vessel (this is a variation on the tugboat for mooring repairs that\n", - "will not tow anthing between port and site, but operate at the site)\n", + "will not tow anything between port and site, but operate at the site)\n", "\n", "Aside from the TOW and AHV capabilities there are no operations specific to each\n", "capability. The remaining configurations of a servicing equipment such as equipment\n", @@ -297,15 +303,14 @@ " that the equipment can service has been reached\n", "\n", "downtime\n", - ": dispatch the servicing equipment once the windfarm's operating level reaches the\n", + ": dispatch the servicing equipment once the wind farm's operating level reaches the\n", " `strategy_threshold` percent downtime.\n", "\n", - "\n", "### The System Models\n", "\n", "The actual assets on the windfarm such as cables, turbines, and substations, are\n", "referred to as systems in WOMBAT, and each has their own individual model. Within each\n", - "of these systems, there are user-defined subassemblies (or componenents) that rely on\n", + "of these systems, there are user-defined subassemblies (or components) that rely on\n", "two types of repair models:\n", "\n", "- maintenance: scheduled, fixed time interval-based maintenance tasks\n", @@ -319,7 +324,7 @@ "In the example below we show a `generator` subassembly with an annual service task and\n", "frequent manual reset. For a thorough definition, please read the API\n", "documentation of the [Maintenance](../API/types.md#maintenance-tasks) and\n", - "[Failure](../API/types.md#failures) data classes. Note that the yaml defintion below\n", + "[Failure](../API/types.md#failures) data classes. Note that the yaml definition below\n", "specifies that maintenance tasks are in a bulleted list format and that failure\n", "defintions require a dictionary-style input with keys to match the severity level of a\n", "given failure. For more details on the complete subassembly definition, please visit the\n", @@ -348,13 +353,12 @@ " description: manual reset\n", "```\n", "\n", - "\n", "#### Substations\n", "\n", "The substation model relies on two specific inputs, and one subassembly input (transformer).\n", "\n", "capacity_kw\n", - ": The capacity of all turbines in the windfarm, neglecting any losses. Only needed if\n", + ": The capacity of all turbines in the wind farm, neglecting any losses. Only needed if\n", "a $/kw cost basis is being used.\n", "\n", "capex_kw\n", @@ -364,7 +368,7 @@ "same format as the generator example above. Similarly, a user can define as man or as\n", "few of the subassemblies as desired with their preferred naming conventions\n", "\n", - "The following is an example of substation YAML definition with no modeled subasemblies.\n", + "The following is an example of substation YAML definition with no modeled subassemblies.\n", "\n", "```{code-block} yaml\n", "capacity_kw: 670000\n", @@ -390,10 +394,9 @@ " description: n/a\n", "```\n", "\n", - "\n", "#### Turbines\n", "\n", - "The turbine has the most to define out of the three systems in the windfarm model.\n", + "The turbine has the most to define out of the three systems in the wind farm model.\n", "Similar to the substation, it relies mainly on the subassembly model with a few extra\n", "parameters, as defined here:\n", "\n", @@ -411,7 +414,7 @@ "power calculations.\n", "\n", "The `windfarm/vestas_v90.yaml` data file provides the following definition in addition\n", - "to the the maintenance and failure definitions that were shown previously.\n", + "to the maintenance and failure definitions that were shown previously.\n", "\n", "```{code-block} yaml\n", "capacity_kw: 3000\n", @@ -422,16 +425,16 @@ "```\n", "\n", "The power curve input CSV requires the following two columns: `windspeed_ms` and\n", - "`power_kw` that should be defined using the windspeed for a bin, in m/s and the power produced at that\n", - "windspeed, in kW. The current method available for generating the power curve is the IEC\n", - "61400-12-1-2 method for a wind-speed binned power curve. If there is a need/desire for\n", - "additional power curve methodologies, then [please submit an issue on the GitHub](https://github.com/WISDEM/WOMBAT/issues)!\n", + "`power_kw` that should be defined using the wind speed for a bin, in m/s and the power\n", + "produced at that wind speed, in kW. The current method available for generating the\n", + "power curve is the IEC 61400-12-1-2 method for a wind-speed binned power curve. If there\n", + "is a need/desire for additional power curve methodologies, then\n", + "[please submit an issue on the GitHub](https://github.com/WISDEM/WOMBAT/issues)!\n", "\n", "For an open source listing of a variety of land-based, offshore, and distributed wind\n", "turbine power curves, please visit the\n", "[NREL Turbine Models repository](https://github.com/NREL/turbine-models).\n", "\n", - "\n", "#### Cables\n", "\n", "The array cable is the simplest format in that you only define a descriptive name,\n", @@ -465,7 +468,6 @@ " description: n/a\n", "```\n", "\n", - "\n", "## Set Up the Simulation\n", "\n", "In the remaining sections of the tutorial, we will work towards setting up and running\n", @@ -473,8 +475,8 @@ "\n", "### Define the data library path\n", "\n", - "The set library enables WOMBAT to easily access and store data files in a consistent\n", - "manner. Here the `DINWOODIE` reference is going to be used again.\n", + "The set library enables WOMBAT to easily access and store data files consistently. Here,\n", + "the `DINWOODIE` reference is going to be used again.\n", "\n", "```{note}\n", "If a custom library is being used, the `library_path` must be the full path name to the\n", @@ -489,7 +491,7 @@ { "cell_type": "code", "execution_count": 2, - "id": "8f35b1e5", + "id": "946b10de", "metadata": {}, "outputs": [], "source": [ @@ -498,14 +500,13 @@ }, { "cell_type": "markdown", - "id": "11debac2", + "id": "d9b4d54b", "metadata": {}, "source": [ "### The configuration file\n", "\n", - "\n", "In the configuration below, there are a number of data points that will define our\n", - "windfarm layout, weather conditions, working hours, customized start and completion\n", + "wind farm layout, weather conditions, working hours, customized start and completion\n", "years, project size, financials, and the servicing equipment to be used. Note that there\n", "can be as many or as few of the servicing equipment units as desired.\n", "\n", @@ -519,7 +520,7 @@ { "cell_type": "code", "execution_count": 3, - "id": "48d0d836", + "id": "609f3d45", "metadata": {}, "outputs": [], "source": [ @@ -528,7 +529,7 @@ }, { "cell_type": "markdown", - "id": "7af497d3", + "id": "7572032e", "metadata": {}, "source": [ "```{code-block} yaml\n", @@ -571,7 +572,7 @@ { "cell_type": "code", "execution_count": 4, - "id": "f00af256", + "id": "08183b32", "metadata": {}, "outputs": [], "source": [ @@ -583,7 +584,7 @@ }, { "cell_type": "markdown", - "id": "e76477bf", + "id": "d77f18da", "metadata": {}, "source": [ "### Option 2: `Simulation()`\n", @@ -605,7 +606,7 @@ { "cell_type": "code", "execution_count": 5, - "id": "5099abd7", + "id": "428cd356", "metadata": {}, "outputs": [], "source": [ @@ -618,7 +619,7 @@ }, { "cell_type": "markdown", - "id": "6c28b315", + "id": "500cb330", "metadata": {}, "source": [ "### Seeding the simulation random variable\n", @@ -631,7 +632,7 @@ { "cell_type": "code", "execution_count": 6, - "id": "ae14cc72", + "id": "48c1883c", "metadata": {}, "outputs": [], "source": [ @@ -652,7 +653,7 @@ }, { "cell_type": "markdown", - "id": "1b0e4c25", + "id": "64e779d5", "metadata": {}, "source": [ "## Run the analysis\n", @@ -667,14 +668,14 @@ { "cell_type": "code", "execution_count": 7, - "id": "7b899c32", + "id": "1fb6b711", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Run time: 0.53 minutes\n" + "Run time: 0.49 minutes\n" ] } ], @@ -692,7 +693,7 @@ }, { "cell_type": "markdown", - "id": "d8089506", + "id": "1d010440", "metadata": {}, "source": [ "## Metric computation\n", @@ -704,7 +705,7 @@ { "cell_type": "code", "execution_count": 8, - "id": "bc468caa", + "id": "bd74e607", "metadata": {}, "outputs": [ { @@ -726,7 +727,7 @@ { "cell_type": "code", "execution_count": 9, - "id": "740d37f9", + "id": "f51049b4", "metadata": {}, "outputs": [ { @@ -753,18 +754,20 @@ }, { "cell_type": "markdown", - "id": "ef887c84", + "id": "d3a5c51d", "metadata": {}, "source": [ "## Optional: Delete the logging files\n", "\n", - "In the case that a lot of simulations are going to be run, and the processed outputs are all that is required, then there is a convenience method to cleanup these files automatically once you are done." + "In the case that a lot of simulations are going to be run, and the processed outputs\n", + "are all that is required, then there is a convenience method to clean up these files\n", + "automatically once you are done." ] }, { "cell_type": "code", "execution_count": 10, - "id": "01643d48", + "id": "a2b4a6e7", "metadata": {}, "outputs": [], "source": [ @@ -800,8 +803,8 @@ 10, 22, 38, - 481, - 483, + 482, + 484, 499, 501, 539, @@ -815,7 +818,7 @@ 618, 625, 636, - 643 + 644 ] }, "nbformat": 4, diff --git a/docs/jupyter_execute/examples/metrics_demonstration.ipynb b/docs/jupyter_execute/examples/metrics_demonstration.ipynb index 3c456638..73bc7f2d 100644 --- a/docs/jupyter_execute/examples/metrics_demonstration.ipynb +++ b/docs/jupyter_execute/examples/metrics_demonstration.ipynb @@ -2,20 +2,23 @@ "cells": [ { "cell_type": "markdown", - "id": "c2c11f7e", + "id": "f5c7afcf", "metadata": {}, "source": [ "# Demonstration of the Available Metrics\n", "\n", - "For a complete list of metrics and their documentation, please see the API Metrics [documentation](../API/simulation_api.md#metrics-computation).\n", + "For a complete list of metrics and their documentation, please see the API Metrics\n", + "[documentation](../API/simulation_api.md#metrics-computation).\n", "\n", - "This demonstration will rely on the results produced in the \"How To\" notebook and serves as an extension of the API documentation to show what the results will look like depending on what inputs are provided." + "This demonstration will rely on the results produced in the \"How To\" notebook and serves\n", + "as an extension of the API documentation to show what the results will look like\n", + "depending on what inputs are provided." ] }, { "cell_type": "code", "execution_count": 1, - "id": "b0d2fc5a", + "id": "c1d7a12d", "metadata": { "tags": [ "output_scroll" @@ -44,49 +47,56 @@ }, { "cell_type": "markdown", - "id": "1ff7d91f", + "id": "0f265ad5", "metadata": {}, "source": [ "## Table of Contents\n", "\n", - "Below is a list of top-level sections to demonstrate how to use WOMBAT's `Metrics` class methods and an explanation of each individual metric.\n", + "Below is a list of top-level sections to demonstrate how to use WOMBAT's `Metrics`\n", + "class methods and an explanation of each individual metric.\n", "\n", "If you don't see a metric or result computation that is core to your work, please submit\n", "an [issue](https://github.com/WISDEM/WOMBAT/issues/new) with details on what the metric\n", "is, and how it should be computed.\n", "\n", - " - [Setup](#setup): Running a simulation to gather the results\n", - " - [Common Parameters](#common-parameter-explanations): Explanation of frequently used parameter settings\n", - " - [Availability](#availability): Time-based and energy-based availability\n", - " - [Capacity Factor](#capacity-factor): Gross and net capacity factor\n", - " - [Task Completion Rate](#task-completion-rate): Task completion metrics\n", - " - [Equipment Costs](#equipment-costs): Cost breakdowns by servicing equipment\n", - " - [Service Equipment Utilization Rate](#service-equipment-utilization-rate): Utilization of servicing equipment\n", - " - [Vessel-Crew Hours at Sea](#vessel-crew-hours-at-sea): Number of crew or vessel hours spent at sea\n", - " - [Number of Tows](#number-of-tows): Number of tows breakdowns\n", - " - [Labor Costs](#labor-costs): Breakdown of labor costs\n", - " - [Equipment and Labor Costs](#equipment-and-labor-costs): Combined servicing equipment and labor cost breakdown\n", - " - [Emissions](#emissions): Emissions of servicing equipment based on activity\n", - " - [Component Costs](#component-costs): Materials costs\n", - " - [Fixed Cost Impacts](#fixed-cost-impacts): Total fixed costs\n", - " - [OpEx](#opex): Project OpEx\n", - " - [Process Times](#process-times): Timing of various stages of repair and maintenance\n", - " - [Power Production](#power-production): Potential and actually produced power\n", - " - [Net Present Value](#net-present-value): Project NPV calculator\n", + "- [Setup](#setup): Running a simulation to gather the results\n", + "- [Common Parameters](#common-parameter-explanations): Explanation of frequently used\n", + " parameter settings\n", + "- [Availability](#availability): Time-based and energy-based availability\n", + "- [Capacity Factor](#capacity-factor): Gross and net capacity factor\n", + "- [Task Completion Rate](#task-completion-rate): Task completion metrics\n", + "- [Equipment Costs](#equipment-costs): Cost breakdowns by servicing equipment\n", + "- [Service Equipment Utilization Rate](#service-equipment-utilization-rate): Utilization\n", + " of servicing equipment\n", + "- [Vessel-Crew Hours at Sea](#vessel-crew-hours-at-sea): Number of crew or vessel hours\n", + " spent at sea\n", + "- [Number of Tows](#number-of-tows): Number of tows breakdowns\n", + "- [Labor Costs](#labor-costs): Breakdown of labor costs\n", + "- [Equipment and Labor Costs](#equipment-and-labor-costs): Combined servicing equipment\n", + " and labor cost breakdown\n", + "- [Emissions](#emissions): Emissions of servicing equipment based on activity\n", + "- [Component Costs](#component-costs): Materials costs\n", + "- [Fixed Cost Impacts](#fixed-cost-impacts): Total fixed costs\n", + "- [OpEx](#opex): Project OpEx\n", + "- [Process Times](#process-times): Timing of various stages of repair and maintenance\n", + "- [Power Production](#power-production): Potential and actually produced power\n", + "- [Net Present Value](#net-present-value): Project NPV calculator\n", "\n", "(setup)=\n", "## Setup\n", "\n", - "The simulations from the How To notebook are going to be rerun as it is not recommended to create a Metrics class from scratch due to the\n", - "large number of inputs that are required and the initialization is provided in the simulation API's run method.\n", + "The simulations from the *How To* notebook are going to be rerun as it is not\n", + "recommended to create a Metrics class from scratch due to the large number of inputs\n", + "that are required, and the initialization is provided in the simulation API's run method.\n", "\n", - "To simplify this process, a feature has been added to save the simulation outputs required to generate the Metrics inputs and a method to reload those outputs as inputs." + "To simplify this process, a feature has been added to save the simulation outputs\n", + "required to generate the Metrics inputs and a method to reload those outputs as inputs." ] }, { "cell_type": "code", "execution_count": 2, - "id": "453c9b9f", + "id": "4287b4f5", "metadata": { "tags": [ "output_scroll" @@ -114,58 +124,71 @@ }, { "cell_type": "markdown", - "id": "44dff9e4", + "id": "f55e3fbb", "metadata": {}, "source": [ "## Common Parameter Explanations\n", "\n", - "Before diving into each and every metric, and how they can be customized, it is is worth noting some of the most common parameters used throughout, and their meanings to reduce redundancy. The varying output forms are demonstrated in the [availability](#availability) section below.\n", + "Before diving into each and every metric, and how they can be customized, it is worth\n", + "noting some of the most common parameters used throughout, and their meanings to reduce\n", + "redundancy. The varying output forms are demonstrated in the\n", + "[availability](#availability) section below.\n", "\n", "### `frequency`\n", "\n", " project\n", - " : Computed across the whole simulation, with the resulting `DataFrame` having an empty index.\n", + " : Computed across the whole simulation, with the resulting `DataFrame` having an empty\n", + " index.\n", "\n", " annual\n", - " : Summary of each year in the simulation, with the resulting `DataFrame` having \"year\" as the index.\n", + " : Summary of each year in the simulation, with the resulting `DataFrame` having \"year\"\n", + " as the index.\n", "\n", " monthly\n", - " : Summary of each month of the year, aggregated across years, with the resulting `DataFrame` having \"month\" as the index.\n", + " : Summary of each month of the year, aggregated across years, with the resulting\n", + " `DataFrame` having \"month\" as the index.\n", "\n", " month-year\n", - " : computed on a month-by-year basis, producing the results for every month of the simulation, with the resulting `DataFrame` having \"year\" and \"month\" as the index.\n", + " : computed on a month-by-year basis, producing the results for every month of the\n", + " simulation, with the resulting `DataFrame` having \"year\" and \"month\" as the index.\n", "\n", "### `by`\n", "\n", " windfarm\n", - " : Aggregated across all turbines, with the resulting `DataFrame` having only \"windfarm\" as a column\n", + " : Aggregated across all turbines, with the resulting `DataFrame` having only\n", + " \"windfarm\" as a column\n", "\n", " turbine\n", - " : Computed for each turbine, with the resulting `DataFrame` having a column for each turbine\n", + " : Computed for each turbine, with the resulting `DataFrame` having a column for each\n", + " turbine\n", "\n", "## Availability\n", "\n", "There are two methods to produce availability, which have their own function calls:\n", - " - energy: actual power produced divided by potential power produced\n", - " - {py:meth}`wombat.core.post_processor.Metrics.production_based_availability`\n", - " - time: The ratio of all non-zero hours to all hours in the simulation, or the proportion of the simulation where turbines are operating\n", - " - {py:meth}`wombat.core.post_processor.Metrics.time_based_availability`\n", + "\n", + "- energy: actual power produced divided by potential power produced\n", + " - {py:meth}`wombat.core.post_processor.Metrics.production_based_availability`\n", + "- time: The ratio of all non-zero hours to all hours in the simulation, or the\n", + " proportion of the simulation where turbines are operating\n", + " - {py:meth}`wombat.core.post_processor.Metrics.time_based_availability`\n", "\n", "Here, we will go through the various input definitions to get time-based availability data as both methods use the same inputs, and provide outputs in the same format.\n", "\n", "**Inputs**:\n", "\n", - "- `frequency`, as explained [above](#common-parameter-explanations) options: \"project\", \"annual\", \"monthly\", and \"month-year\"\n", - "- `by`, as explained [above](#common-parameter-explanations) options: \"windfarm\" and \"turbine\"\n", - "\n", + "- `frequency`, as explained [above](#common-parameter-explanations) options: \"project\",\n", + " \"annual\", \"monthly\", and \"month-year\"\n", + "- `by`, as explained [above](#common-parameter-explanations) options: \"windfarm\" and\n", + " \"turbine\"\n", "\n", - "Below is a demonstration of the variations on `frequency` and `by` for `time_based_availability`." + "Below is a demonstration of the variations on `frequency` and `by` for\n", + "`time_based_availability`." ] }, { "cell_type": "code", "execution_count": 3, - "id": "8e1ad318", + "id": "c117c1bd", "metadata": { "tags": [ "output_scroll" @@ -177,23 +200,23 @@ "text/html": [ "\n", - "\n", + "
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 windfarmwindfarm
year
20031.0020031.00
20041.0020041.00
20051.0020051.00
20061.0020061.00
20071.0020071.00
20081.0020081.00
20091.0020091.00
20101.0020101.00
20111.0020111.00
20121.0020121.00
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 windfarmwindfarm
month
11.0011.00
21.0021.00
31.0031.00
41.0041.00
51.0051.00
61.0061.00
71.0071.00
81.0081.00
91.0091.00
101.00101.00
111.00111.00
121.00121.00
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  windfarmwindfarm
year
200311.00200311.00
21.0021.00
31.0031.00
41.0041.00
51.0051.00
61.0061.00
71.0071.00
81.0081.00
91.0091.00
101.00101.00
111.00111.00
121.00121.00
200411.00200411.00
21.0021.00
31.0031.00
41.0041.00
51.0051.00
61.0061.00
71.0071.00
81.0081.00
91.0091.00
101.00101.00
111.00111.00
121.00121.00
200511.00200511.00
21.0021.00
31.0031.00
41.0041.00
51.0051.00
61.0061.00
71.0071.00
81.0081.00
91.0091.00
101.00101.00
111.00111.00
121.00121.00
200611.00200611.00
21.0021.00
31.0031.00
41.0041.00
51.0051.00
61.0061.00
71.0071.00
81.0081.00
91.0091.00
101.00101.00
111.00111.00
121.00121.00
200711.00200711.00
21.0021.00
31.0031.00
41.0041.00
51.0051.00
61.0061.00
71.0071.00
81.0081.00
91.0091.00
101.00101.00
111.00111.00
121.00121.00
200811.00200811.00
21.0021.00
31.0031.00
41.0041.00
51.0051.00
61.0061.00
71.0071.00
81.0081.00
91.0091.00
101.00101.00
111.00111.00
121.00121.00
200911.00200911.00
21.0021.00
31.0031.00
41.0041.00
51.0051.00
61.0061.00
71.0071.00
81.0081.00
91.0091.00
101.00101.00
111.00111.00
121.00121.00
201011.00201011.00
21.0021.00
31.0031.00
41.0041.00
51.0051.00
61.0061.00
71.0071.00
81.0081.00
91.0091.00
101.00101.00
111.00111.00
121.00121.00
201111.00201111.00
21.0021.00
31.0031.00
41.0041.00
51.0051.00
61.0061.00
71.0071.00
81.0081.00
91.0091.00
101.00101.00
111.00111.00
121.00121.00
201211.00201211.00
21.0021.00
31.0031.00
41.0041.00
51.0051.00
61.0061.00
71.0071.00
81.0081.00
91.0091.00
101.00101.00
111.00111.00
121.00121.00
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 8, @@ -1173,20 +1197,24 @@ }, { "cell_type": "markdown", - "id": "e24201c0", + "id": "e5c553a9", "metadata": {}, "source": [ "## Capacity Factor\n", "\n", - "The capacity factor is the ratio of actual (net) or potential (gross) energy production divided by the project's capacity. For further documentation, see the API docs here: {py:meth}`wombat.core.post_processor.Metrics.capacity_factor`.\n", + "The capacity factor is the ratio of actual (net) or potential (gross) energy production\n", + "divided by the project's capacity. For further documentation, see the API docs here:\n", + "{py:meth}`wombat.core.post_processor.Metrics.capacity_factor`.\n", "\n", "**Inputs**:\n", "\n", "- `which`\n", - " - \"net\": net capcity factor, actual production divided by the plant capacity\n", + " - \"net\": net capacity factor, actual production divided by the plant capacity\n", " - \"gross\": gross capacity factor, potential production divided by the plant capacity\n", - "- `frequency`, as explained [above](#common-parameter-explanations), options: \"project\", \"annual\", \"monthly\", and \"month-year\"\n", - "- `by`, as explained [above](#common-parameter-explanations), options: \"windfarm\" and \"turbine\"\n", + "- `frequency`, as explained [above](#common-parameter-explanations), options: \"project\",\n", + " \"annual\", \"monthly\", and \"month-year\"\n", + "- `by`, as explained [above](#common-parameter-explanations), options: \"windfarm\" and\n", + " \"turbine\"\n", "\n", "**Example Usage**:" ] @@ -1194,7 +1222,7 @@ { "cell_type": "code", "execution_count": 9, - "id": "d256066e", + "id": "618594eb", "metadata": { "tags": [ "output_scroll" @@ -1219,20 +1247,25 @@ }, { "cell_type": "markdown", - "id": "ea8f25ba", + "id": "7378ed8a", "metadata": {}, "source": [ "## Task Completion Rate\n", "\n", - "The task completion rate is the ratio of tasks completed aggregated to the desired `frequency`. It is possible to have a >100% completion rate if all maintenance and failure requests submitted in a time period were completed in addition to those that went unfinished in prior time periods. For further documentation, see the API docs here: {py:meth}`wombat.core.post_processor.Metrics.task_completion_rate`.\n", + "The task completion rate is the ratio of tasks completed aggregated to the desired\n", + "`frequency`. It is possible to have a >100% completion rate if all maintenance and\n", + "failure requests submitted in a time period were completed in addition to those that\n", + "went unfinished in prior time periods. For further documentation, see the API docs here:\n", + "{py:meth}`wombat.core.post_processor.Metrics.task_completion_rate`.\n", "\n", "**Inputs**:\n", "\n", "- `which`\n", - " - \"scheduled\": scheduled maintenance only (classified as maintenace tasks in inputs)\n", + " - \"scheduled\": scheduled maintenance only (classified as maintenance tasks in inputs)\n", " - \"unscheduled\": unscheduled maintenance only (classified as failure events in inputs)\n", " - \"both\": Combined completion rate for all tasks\n", - "- `frequency`, as explained [above](#common-parameter-explanations), options: \"project\", \"annual\", \"monthly\", and \"month-year\"\n", + "- `frequency`, as explained [above](#common-parameter-explanations), options: \"project\",\n", + " \"annual\", \"monthly\", and \"month-year\"\n", "\n", "**Example Usage**:" ] @@ -1240,7 +1273,7 @@ { "cell_type": "code", "execution_count": 10, - "id": "447d8fe3", + "id": "0794011d", "metadata": { "tags": [ "output_scroll" @@ -1251,9 +1284,9 @@ "name": "stdout", "output_type": "stream", "text": [ - " Scheduled Task Completion Rate: 66.76%\n", - "Unscheduled Task Completion Rate: 99.53%\n", - " Overall Task Completion Rate: 97.02%\n" + " Scheduled Task Completion Rate: 67.93%\n", + "Unscheduled Task Completion Rate: 99.59%\n", + " Overall Task Completion Rate: 97.15%\n" ] } ], @@ -1268,16 +1301,19 @@ }, { "cell_type": "markdown", - "id": "87fb4950", + "id": "a2315255", "metadata": {}, "source": [ "## Equipment Costs\n", "\n", - "Sum of the costs associated with a simulation's servicing equipment, which excludes materials, downtime, etc. For further documentation, see the API docs here: {py:meth}`wombat.core.post_processor.Metrics.equipment_costs`.\n", + "Sum of the costs associated with a simulation's servicing equipment, which excludes\n", + "materials, downtime, etc. For further documentation, see the API docs here:\n", + "{py:meth}`wombat.core.post_processor.Metrics.equipment_costs`.\n", "\n", "**Inputs**:\n", "\n", - "- `frequency`, as explained [above](#common-parameter-explanations), options: \"project\", \"annual\", \"monthly\", and \"month-year\"\n", + "- `frequency`, as explained [above](#common-parameter-explanations), options: \"project\",\n", + " \"annual\", \"monthly\", and \"month-year\"\n", "- `by_equipment`\n", " - `True`: Aggregates all equipment into a single cost\n", " - `False`: Computes for each unit of servicing equipment\n", @@ -1288,7 +1324,7 @@ { "cell_type": "code", "execution_count": 11, - "id": "5482286f", + "id": "5eccd826", "metadata": { "tags": [ "output_scroll" @@ -1300,23 +1336,23 @@ "text/html": [ "\n", - "\n", + "
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 equipment_costequipment_cost
0119,978,754.030120,083,490.99
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 11, @@ -1332,7 +1368,7 @@ { "cell_type": "code", "execution_count": 12, - "id": "8594a7de", + "id": "a61f87fc", "metadata": { "tags": [ "output_scroll" @@ -1352,31 +1388,31 @@ "text/html": [ "\n", - "\n", + "
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 Crew Transfer Vessel 1Crew Transfer Vessel 2Crew Transfer Vessel 3Field Support VesselHeavy Lift VesselCrew Transfer Vessel 1Crew Transfer Vessel 2Crew Transfer Vessel 3Field Support VesselHeavy Lift Vessel
06,390,480.236,390,481.816,390,479.983,146,640.1497,660,671.8806,390,493.196,390,489.486,390,488.373,003,573.7797,908,446.18
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 12, @@ -1391,16 +1427,20 @@ }, { "cell_type": "markdown", - "id": "7e12b50f", + "id": "14cae834", "metadata": {}, "source": [ "## Service Equipment Utilization Rate\n", "\n", - "Ratio of days when the servicing equipment is in use (not delayed for a whole day due to either weather or lack of repairs to be completed) to the number of days it's present in the simulation. For further documentation, see the API docs here: {py:meth}`wombat.core.post_processor.Metrics.service_equipment_utilization`.\n", + "Ratio of days when the servicing equipment is in use (not delayed for a whole day due to\n", + "either weather or lack of repairs to be completed) to the number of days it's present in\n", + "the simulation. For further documentation, see the API docs here:\n", + "{py:meth}`wombat.core.post_processor.Metrics.service_equipment_utilization`.\n", "\n", "**Inputs**:\n", "\n", - "- `frequency`, as explained [above](#common-parameter-explanations), options: \"project\" and \"annual\"\n", + "- `frequency`, as explained [above](#common-parameter-explanations), options: \"project\"\n", + " and \"annual\"\n", "\n", "**Example Usage**:" ] @@ -1408,7 +1448,7 @@ { "cell_type": "code", "execution_count": 13, - "id": "29c4215b", + "id": "9c3d6613", "metadata": { "tags": [ "output_scroll" @@ -1420,31 +1460,31 @@ "text/html": [ "\n", - "\n", + "
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 Crew Transfer Vessel 1Crew Transfer Vessel 2Crew Transfer Vessel 3Field Support VesselHeavy Lift VesselCrew Transfer Vessel 1Crew Transfer Vessel 2Crew Transfer Vessel 3Field Support VesselHeavy Lift Vessel
01.001.001.000.940.9301.001.001.000.930.93
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 13, @@ -1459,20 +1499,26 @@ }, { "cell_type": "markdown", - "id": "8f9bdf23", + "id": "b5bfe92e", "metadata": {}, "source": [ "## Vessel-Crew Hours at Sea\n", "\n", - "The number of vessel hours or crew hours at sea for offshore wind power plant simulations. For further documentation, see the API docs here: {py:meth}`wombat.core.post_processor.Metrics.vessel_crew_hours_at_sea`.\n", + "The number of vessel hours or crew hours at sea for offshore wind power plant\n", + "simulations. For further documentation, see the API docs here:\n", + "{py:meth}`wombat.core.post_processor.Metrics.vessel_crew_hours_at_sea`.\n", "\n", "**Inputs**:\n", "\n", - "- `frequency`, as explained [above](#common-parameter-explanations), options: \"project\", \"annual\", \"monthly\", and \"month-year\"\n", + "- `frequency`, as explained [above](#common-parameter-explanations), options: \"project\",\n", + " \"annual\", \"monthly\", and \"month-year\"\n", "- `by_equipment`\n", " - `True`: Aggregates all equipment into a single cost\n", " - `False`: Computes for each unit of servicing equipment\n", - "- `vessel_crew_assumption`: A dictionary of vessel names (`ServiceEquipment.settings.name`, but also found at `Metrics.service_equipment_names`) and the number of crew onboard at any given time. The application of this assumption transforms the results from vessel hours at sea to crew hours at sea.\n", + "- `vessel_crew_assumption`: A dictionary of vessel names\n", + " (`ServiceEquipment.settings.name`, but also found at `Metrics.service_equipment_names`)\n", + " and the number of crew onboard at any given time. The application of this assumption\n", + " transforms the results from vessel hours at sea to crew hours at sea.\n", "\n", "**Example Usage**:" ] @@ -1480,7 +1526,7 @@ { "cell_type": "code", "execution_count": 14, - "id": "cbc3d70c", + "id": "f577fcc9", "metadata": { "tags": [ "output_scroll" @@ -1492,23 +1538,23 @@ "text/html": [ "\n", - "\n", + "
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 Total Crew Hours at SeaTotal Crew Hours at Sea
0162,477.650162,196.73
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 14, @@ -1524,7 +1570,7 @@ { "cell_type": "code", "execution_count": 15, - "id": "7363fbc6", + "id": "9f84708a", "metadata": { "tags": [ "output_scroll" @@ -1536,16 +1582,16 @@ "text/html": [ "\n", - "\n", + "
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 Total Crew Hours at SeaCrew Transfer Vessel 1Crew Transfer Vessel 2Crew Transfer Vessel 3Field Support VesselHeavy Lift VesselTotal Crew Hours at SeaCrew Transfer Vessel 1Crew Transfer Vessel 2Crew Transfer Vessel 3Heavy Lift VesselField Support Vessel
year
20037,500.721,818.491,691.991,828.24673.001,489.00
200415,403.704,042.504,067.974,042.97597.002,653.25
200514,827.674,113.744,106.194,101.49600.001,906.25
200619,293.504,248.414,218.984,217.701,305.005,303.41
200717,830.314,187.464,221.474,192.22600.004,629.16
200818,935.174,253.974,267.474,216.73665.005,531.99
200914,905.704,285.964,265.744,223.250.002,130.75
201017,464.434,130.744,116.994,113.451,277.003,826.25
201118,228.744,136.224,149.754,148.76630.505,163.50
201218,087.714,164.484,176.464,159.471,232.004,355.3020039,398.611,929.741,605.721,845.993,381.15636.00
200415,544.634,224.984,233.194,206.222,279.25601.00
200517,115.654,140.654,089.644,117.684,125.17642.50
200616,844.714,198.704,206.494,224.733,609.80605.00
200714,668.144,170.524,161.464,150.002,186.160.00
200818,268.434,224.474,230.254,233.403,773.161,807.15
200916,236.554,291.984,302.984,292.263,254.9894.35
201017,340.844,157.974,155.504,181.734,199.63646.00
201116,723.504,147.504,162.244,147.983,633.78632.00
201220,055.674,201.704,208.244,190.745,744.501,710.50
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 15, @@ -1667,16 +1713,20 @@ }, { "cell_type": "markdown", - "id": "72863683", + "id": "6bcbabc7", "metadata": {}, "source": [ "## Number of Tows\n", "\n", - "The number of tows performed during the simulation. If tow-to-port was not used in the simulation, a DataFrame with a single value of 0 will be returned. For further documentation, see the API docs here: {py:meth}`wombat.core.post_processor.Metrics.number_of_tows`.\n", + "The number of tows performed during the simulation. If tow-to-port was not used in the\n", + "simulation, a DataFrame with a single value of 0 will be returned. For further\n", + "documentation, see the API docs here:\n", + "{py:meth}`wombat.core.post_processor.Metrics.number_of_tows`.\n", "\n", "**Inputs**:\n", "\n", - "- `frequency`, as explained [above](#common-parameter-explanations), options: \"project\", \"annual\", \"monthly\", and \"month-year\"\n", + "- `frequency`, as explained [above](#common-parameter-explanations), options: \"project\",\n", + " \"annual\", \"monthly\", and \"month-year\"\n", "- `by_tug`\n", " - `True`: Computed for each tugboat (towing vessel)\n", " - `False`: Aggregates all the tugboats\n", @@ -1690,7 +1740,7 @@ { "cell_type": "code", "execution_count": 16, - "id": "2eecd3fe", + "id": "002a24bc", "metadata": { "tags": [ "output_scroll" @@ -1702,23 +1752,23 @@ "text/html": [ "\n", - "\n", + "
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 total_towstotal_tows
0000
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 16, @@ -1734,16 +1784,19 @@ }, { "cell_type": "markdown", - "id": "5422f93f", + "id": "363811c5", "metadata": {}, "source": [ "## Labor Costs\n", "\n", - "Sum of all labor costs associated with servicing equipment, excluding the labor defined in the fixed costs, which can be broken out by type. For further documentation, see the API docs here: {py:meth}`wombat.core.post_processor.Metrics.labor_costs`.\n", + "Sum of all labor costs associated with servicing equipment, excluding the labor defined\n", + "in the fixed costs, which can be broken out by type. For further documentation, see the\n", + "API docs here: {py:meth}`wombat.core.post_processor.Metrics.labor_costs`.\n", "\n", "**Inputs**:\n", "\n", - "- `frequency`, as explained [above](#common-parameter-explanations), options: \"project\", \"annual\", \"monthly\", and \"month-year\"\n", + "- `frequency`, as explained [above](#common-parameter-explanations), options: \"project\",\n", + " \"annual\", \"monthly\", and \"month-year\"\n", "- `by_type`\n", " - `True`: Computed for each labor type (salary and hourly)\n", " - `False`: Aggregates all the labor costs\n", @@ -1754,7 +1807,7 @@ { "cell_type": "code", "execution_count": 17, - "id": "5dfb40d4", + "id": "b6ada0ea", "metadata": { "tags": [ "output_scroll" @@ -1778,7 +1831,7 @@ { "cell_type": "code", "execution_count": 18, - "id": "a43fcec9", + "id": "0810be84", "metadata": { "tags": [ "output_scroll" @@ -1790,27 +1843,27 @@ "text/html": [ "\n", - "\n", + "
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 hourly_labor_costsalary_labor_costtotal_labor_costhourly_labor_costsalary_labor_costtotal_labor_cost
00000000
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 18, @@ -1826,29 +1879,38 @@ }, { "cell_type": "markdown", - "id": "5027a1c0", + "id": "dd89dd46", "metadata": {}, "source": [ "## Equipment and Labor Costs\n", "\n", - "Sum of all labor and servicing equipment costs, excluding the labor defined in the fixed costs, which can be broken out by each category. For further documentation, see the API docs here: {py:meth}`wombat.core.post_processor.Metrics.equipment_labor_cost_breakdown`.\n", + "Sum of all labor and servicing equipment costs, excluding the labor defined in the fixed\n", + "costs, which can be broken out by each category. For further documentation, see the API\n", + "docs here: {py:meth}`wombat.core.post_processor.Metrics.equipment_labor_cost_breakdown`.\n", "\n", "**Inputs**:\n", "\n", - "- `frequency`, as explained [above](#common-parameter-explanations), options: \"project\", \"annual\", \"monthly\", and \"month-year\"\n", + "- `frequency`, as explained [above](#common-parameter-explanations), options: \"project\",\n", + " \"annual\", \"monthly\", and \"month-year\"\n", "- `by_category`\n", " - `True`: Computed for each unit servicing equipment and labor category\n", " - `False`: Aggregated to the sum of all costs\n", "\n", "`reason` definitions:\n", - " - Maintenance: routine maintenance, or events defined as a {py:class}`wombat.core.data_classes.Maintenance`\n", - " - Repair: unscheduled maintenance, ranging from inspections to replacements, or events defined as a {py:class}`wombat.core.data_classes.Failure`\n", - " - Mobilization: Cost of mobilizing servicing equipment\n", - " - Crew Transfer: Costs incurred while crew are transfering between a turbine or substation and the servicing equipment\n", - " - Site Travel: Costs incurred while transiting to/from the site and while at the site\n", - " - Weather Delay: Any delays caused by unsafe weather conditions\n", - " - No Requests: Equipment and labor is active, but there are no repairs or maintenance tasks to be completed\n", - " - Not in Shift: Any time outside of the operating hours of the wind farm (or the servicing equipment's specific operating hours)\n", + "\n", + "- Maintenance: routine maintenance, or events defined as a\n", + " {py:class}`wombat.core.data_classes.Maintenance`\n", + "- Repair: unscheduled maintenance, ranging from inspections to replacements, or events\n", + " defined as a {py:class}`wombat.core.data_classes.Failure`\n", + "- Mobilization: Cost of mobilizing servicing equipment\n", + "- Crew Transfer: Costs incurred while crew are transferring between a turbine or\n", + " substation and the servicing equipment\n", + "- Site Travel: Costs incurred while transiting to/from the site and while at the site\n", + "- Weather Delay: Any delays caused by unsafe weather conditions\n", + "- No Requests: Equipment and labor is active, but there are no repairs or maintenance\n", + " tasks to be completed\n", + "- Not in Shift: Any time outside the operating hours of the wind farm (or the\n", + " servicing equipment's specific operating hours)\n", "\n", "**Example Usage**:" ] @@ -1856,7 +1918,7 @@ { "cell_type": "code", "execution_count": 19, - "id": "6c39fb2b", + "id": "abe800ee", "metadata": { "tags": [ "output_scroll" @@ -1868,12 +1930,12 @@ "text/html": [ "\n", - "\n", + "
\n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -1883,50 +1945,50 @@ " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", " \n", "
 total_costtotal_hourstotal_costtotal_hours
reason
Maintenance1,925,000.0026,400.00Maintenance2,100,000.0028,800.00
Repair39,965,193.5767,183.79Repair35,540,194.7064,547.94
Crew Transfer1,259,750.0010,571.00Crew Transfer1,184,078.1210,431.00
Site Travel0.000.00Site Travel0.000.00
Mobilization9,500,000.0033,408.00Mobilization9,500,000.0033,408.00
Weather Delay30,853,193.2835,724.91Weather Delay30,414,050.2135,754.15
No Requests26,882,656.2528,029.70No Requests32,320,462.9328,012.52
Not in Shift9,592,960.93117,161.35Not in Shift9,024,705.02117,203.75
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 19, @@ -1942,7 +2004,7 @@ { "cell_type": "code", "execution_count": 20, - "id": "590ebf1d", + "id": "b2306850", "metadata": { "tags": [ "output_scroll" @@ -1954,16 +2016,16 @@ "text/html": [ "\n", - "\n", + "
\n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -1977,82 +2039,82 @@ " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", "
 hourly_labor_costsalary_labor_costtotal_labor_costequipment_costtotal_costtotal_hourshourly_labor_costsalary_labor_costtotal_labor_costequipment_costtotal_costtotal_hours
reason
Maintenance0001,925,000.001,925,000.0026,400.00
Repair00039,965,193.5739,965,193.5767,183.79
Crew Transfer0001,259,750.001,259,750.0010,571.00
Site Travel0000.000.000.00
Mobilization0009,500,000.009,500,000.0033,408.00
Weather Delay00030,853,193.2830,853,193.2835,724.91
No Requests00026,882,656.2526,882,656.2528,029.70
Not in Shift0009,592,960.939,592,960.93117,161.35Maintenance0002,100,000.002,100,000.0028,800.00
Repair00035,540,194.7035,540,194.7064,547.94
Crew Transfer0001,184,078.121,184,078.1210,431.00
Site Travel0000.000.000.00
Mobilization0009,500,000.009,500,000.0033,408.00
Weather Delay00030,414,050.2130,414,050.2135,754.15
No Requests00032,320,462.9332,320,462.9328,012.52
Not in Shift0009,024,705.029,024,705.02117,203.75
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 20, @@ -2067,24 +2129,31 @@ }, { "cell_type": "markdown", - "id": "993a336c", + "id": "088adbc9", "metadata": {}, "source": [ "## Emissions\n", "\n", - "Emissions (tons or other provided units) of all servicing equipment activity, except overnight waiting periods between shifts. For further documentation, see the API docs here: {py:meth}`wombat.core.post_processor.Metrics.emissions`.\n", + "Emissions (tons or other provided units) of all servicing equipment activity, except\n", + "overnight waiting periods between shifts. For further documentation, see the API docs\n", + "here: {py:meth}`wombat.core.post_processor.Metrics.emissions`.\n", "\n", "**Inputs**:\n", "\n", - "- `emissions_factors`: Dictionary of servicing equipment names and the emissions per hour of the following activities: `transit`, `maneuvering`, `idle at site`, and `idle at port`, where port is stand-in for wherever the servicing equipment might be based when not at site.\n", - "- `maneuvering_factor`: The proportion of transit time that can generally be associated with positioning servicing, by default 10%.\n", - "- `port_engine_on_factor`: The proportion of the idling at port time where the engine is running and producing emissions, by default 25%." + "- `emissions_factors`: Dictionary of servicing equipment names and the emissions per\n", + " hour of the following activities: `transit`, `maneuvering`, `idle at site`, and\n", + " `idle at port`, where port is stand-in for wherever the servicing equipment might be\n", + " based when not at site.\n", + "- `maneuvering_factor`: The proportion of transit time that can generally be associated\n", + " with positioning servicing, by default 10%.\n", + "- `port_engine_on_factor`: The proportion of the idling at port time when the engine is\n", + " running and producing emissions, by default 25%." ] }, { "cell_type": "code", "execution_count": 21, - "id": "4d50c116", + "id": "f71ba103", "metadata": {}, "outputs": [ { @@ -2092,14 +2161,14 @@ "text/html": [ "\n", - "\n", + "
\n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -2111,135 +2180,135 @@ " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", "
  durationdistance_kmemissionsdurationdistance_kmemissions
agent
Crew Transfer Vessel 1idle at port0.000.000.00Crew Transfer Vessel 1idle at port0.000.000.00
idle at site39,350.970.0019,675.49idle at site39,657.220.0019,828.61
maneuvering0.000.000.00maneuvering0.000.000.00
transit0.00inf0.00transit0.00inf0.00
Crew Transfer Vessel 2idle at port0.000.000.00Crew Transfer Vessel 2idle at port0.000.000.00
idle at site39,252.030.0019,626.01idle at site39,324.700.0019,662.35
maneuvering0.000.000.00maneuvering0.000.000.00
transit0.00inf0.00transit0.00inf0.00
Crew Transfer Vessel 3idle at port0.000.000.00Crew Transfer Vessel 3idle at port0.000.000.00
idle at site39,213.280.0019,606.64idle at site39,559.730.0019,779.86
maneuvering0.000.000.00maneuvering0.000.000.00
transit0.00inf0.00transit0.00inf0.00
Field Support Vesselidle at port1,118.880.00559.44Field Support Vesselidle at port1,118.880.00559.44
idle at site1,531.500.001,531.50idle at site1,326.500.001,326.50
maneuvering453.600.001,814.40maneuvering453.600.001,814.40
transit5,594.40inf33,566.40transit5,594.400.0033,566.40
Heavy Lift Vesselidle at port5,061.600.002,530.80Heavy Lift Vesselidle at port5,061.600.002,530.80
idle at site9,628.870.009,628.87idle at site8,827.580.008,827.58
maneuvering2,052.000.0014,364.00maneuvering2,052.000.0014,364.00
transit25,308.00inf303,696.00transit25,308.00inf303,696.00
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 21, @@ -2287,27 +2356,34 @@ }, { "cell_type": "markdown", - "id": "d211c000", + "id": "59c7b115", "metadata": {}, "source": [ "## Component Costs\n", "\n", - "All of the costs associated with maintenance and failure events during the simulation, including delays incurred during the repair process, but excluding costs not directly tied to a repair. For further documentation, see the API docs here: {py:meth}`wombat.core.post_processor.Metrics.component_costs`.\n", + "All the costs associated with maintenance and failure events during the simulation,\n", + "including delays incurred during the repair process, but excluding costs not directly\n", + "tied to a repair. For further documentation, see the API docs here:\n", + "{py:meth}`wombat.core.post_processor.Metrics.component_costs`.\n", "\n", "**Inputs**:\n", "\n", - "- `frequency`, as explained [above](#common-parameter-explanations), options: \"project\", \"annual\", \"monthly\", and \"month-year\"\n", + "- `frequency`, as explained [above](#common-parameter-explanations), options: \"project\",\n", + " \"annual\", \"monthly\", and \"month-year\"\n", "- `by_category`\n", " - `True`: Computed across each cost category\n", " - `False`: Aggregated to the sum of all categories\n", "- `by_action`\n", - " - `True`: Computed by each of \"repair\", \"maintenance\", and \"delay\", and is included in the MultiIndex\n", + " - `True`: Computed by each of \"repair\", \"maintenance\", and \"delay\", and is included in\n", + " the MultiIndex\n", " - `False`: Aggregated as the sum of all actions\n", "\n", "`action` definitions:\n", - " - maintenance: routine maintenance\n", - " - repair: unscheduled maintenance, ranging from inspections to replacements\n", - " - delay: Any delays caused by unsafe weather conditions or not being able to finish a process within a single shift\n", + "\n", + "- maintenance: routine maintenance\n", + "- repair: unscheduled maintenance, ranging from inspections to replacements\n", + "- delay: Any delays caused by unsafe weather conditions or not being able to finish a\n", + " process within a single shift\n", "\n", "**Example Usage**:" ] @@ -2315,7 +2391,7 @@ { "cell_type": "code", "execution_count": 22, - "id": "05e806eb", + "id": "8e9685af", "metadata": { "tags": [ "output_scroll" @@ -2327,11 +2403,11 @@ "text/html": [ "\n", - "\n", + "
\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2340,14 +2416,14 @@ " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", "
 total_costtotal_cost
component
turbine138,859,892.42turbine130,577,212.07
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 22, @@ -2363,7 +2439,7 @@ { "cell_type": "code", "execution_count": 23, - "id": "02845234", + "id": "445ad043", "metadata": { "tags": [ "output_scroll" @@ -2375,15 +2451,15 @@ "text/html": [ "\n", - "\n", + "
\n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -2396,32 +2472,32 @@ " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", "
  materials_costtotal_labor_costequipment_costtotal_costmaterials_costtotal_labor_costequipment_costtotal_cost
component
turbinedelay0040,394,948.8540,394,948.85turbinedelay0039,425,439.2439,425,439.24
maintenance001,925,000.001,925,000.00maintenance002,100,000.002,100,000.00
repair0039,965,193.5739,965,193.57repair0035,540,194.7035,540,194.70
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 23, @@ -2436,16 +2512,19 @@ }, { "cell_type": "markdown", - "id": "f35a88e5", + "id": "8503f08c", "metadata": {}, "source": [ "## Fixed Cost Impacts\n", "\n", - "Computes the total costs of the fixed costs categories. For further documentation, see the defintion docs, here: {py:class}`wombat.core.data_classes.FixedCosts`, or the API docs here: {py:meth}`wombat.core.post_processor.Metrics.fixed_costs`.\n", + "Computes the total costs of the fixed costs categories. For further documentation, see\n", + "the definition docs, here: {py:class}`wombat.core.data_classes.FixedCosts`, or the API\n", + "docs here: {py:meth}`wombat.core.post_processor.Metrics.fixed_costs`.\n", "\n", "**Inputs**:\n", "\n", - "- `frequency`, as explained [above](#common-parameter-explanations), options: \"project\", \"annual\", \"monthly\", and \"month-year\"\n", + "- `frequency`, as explained [above](#common-parameter-explanations), options: \"project\",\n", + " \"annual\", \"monthly\", and \"month-year\"\n", "- `resolution` (also, demonstrated below)\n", " - \"high\": Computed across the most granular cost levels\n", " - \"medium\": Computed for each general cost category\n", @@ -2455,7 +2534,7 @@ { "cell_type": "code", "execution_count": 24, - "id": "ef644acb", + "id": "24eebbd0", "metadata": { "tags": [ "output_scroll" @@ -2490,7 +2569,7 @@ }, { "cell_type": "markdown", - "id": "680d559b", + "id": "554371b5", "metadata": {}, "source": [ "**Example Usage**:" @@ -2499,7 +2578,7 @@ { "cell_type": "code", "execution_count": 25, - "id": "1ad2d2f6", + "id": "065633b0", "metadata": { "tags": [ "output_scroll" @@ -2511,23 +2590,23 @@ "text/html": [ "\n", - "\n", + "
\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", "
 operationsoperations
016,013,230.75016,013,230.75
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 25, @@ -2545,7 +2624,7 @@ { "cell_type": "code", "execution_count": 26, - "id": "554de8ad", + "id": "23ae47c4", "metadata": { "tags": [ "output_scroll" @@ -2557,35 +2636,35 @@ "text/html": [ "\n", - "\n", + "
\n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", "
 operations_management_administrationinsuranceannual_leases_feesoperating_facilitiesenvironmental_health_safety_monitoringonshore_electrical_maintenancelaboroperations_management_administrationinsuranceannual_leases_feesoperating_facilitiesenvironmental_health_safety_monitoringonshore_electrical_maintenancelabor
00.000.000.000.000.000.0016,013,230.7500.000.000.000.000.000.0016,013,230.75
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 26, @@ -2601,7 +2680,7 @@ { "cell_type": "code", "execution_count": 27, - "id": "e5c13003", + "id": "aaa474f3", "metadata": { "tags": [ "output_scroll" @@ -2613,51 +2692,51 @@ "text/html": [ "\n", - "\n", + "
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 project_management_administrationmarine_managementweather_forecastingcondition_monitoringbrokers_feeoperations_all_riskbusiness_interruptionthird_party_liabilitystorm_coveragesubmerge_land_lease_coststransmission_charges_rightsoperating_facilitiesenvironmental_health_safety_monitoringonshore_electrical_maintenancelaborproject_management_administrationmarine_managementweather_forecastingcondition_monitoringbrokers_feeoperations_all_riskbusiness_interruptionthird_party_liabilitystorm_coveragesubmerge_land_lease_coststransmission_charges_rightsoperating_facilitiesenvironmental_health_safety_monitoringonshore_electrical_maintenancelabor
00.000.000.000.000.000.000.000.000.000.000.000.000.000.0016,013,230.7500.000.000.000.000.000.000.000.000.000.000.000.000.000.0016,013,230.75
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 27, @@ -2672,18 +2751,23 @@ }, { "cell_type": "markdown", - "id": "7bce27dd", + "id": "83b47b7b", "metadata": {}, "source": [ "## OpEx\n", "\n", - "Computes the total cost of all operating expenditures for the duration of the simulation, including fixed costs. For further documentation, see the API docs here: {py:meth}`wombat.core.post_processor.Metrics.opex`.\n", + "Computes the total cost of all operating expenditures for the duration of the\n", + "simulation, including fixed costs. For further documentation, see the API docs here:\n", + "{py:meth}`wombat.core.post_processor.Metrics.opex`.\n", + "\n", "**Inputs**:\n", "\n", - "- `frequency`, as explained [above](#common-parameter-explanations), options: \"project\", \"annual\", \"monthly\", and \"month-year\"\n", + "- `frequency`, as explained [above](#common-parameter-explanations), options: \"project\",\n", + " \"annual\", \"monthly\", and \"month-year\"\n", "\n", "- `by_category`\n", - " - `True` shows the port fees, fixed costs, labor costs, equipment costs, and materials costs in addition the total OpEx\n", + " - `True` shows the port fees, fixed costs, labor costs, equipment costs, and materials\n", + " costs in addition the total OpEx\n", " - `False` shows only the total OpEx\n", "\n", "**Example Usage**:" @@ -2692,7 +2776,7 @@ { "cell_type": "code", "execution_count": 28, - "id": "ecd0578f", + "id": "36e7dfe5", "metadata": { "tags": [ "output_scroll" @@ -2704,11 +2788,11 @@ "text/html": [ "\n", - "\n", + "
\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2717,50 +2801,50 @@ " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", "
 OpExOpEx
year
20035,836,642.22200311,336,836.24
200419,102,199.71200418,936,353.15
200513,296,678.10200520,621,343.14
200620,666,677.54200617,078,727.06
200726,914,886.36200715,004,115.44
200824,544,829.19200819,815,276.60
200914,166,590.47200913,014,482.40
201019,795,872.40201026,361,501.58
201119,701,569.32201119,194,277.86
201227,281,039.47201227,061,308.27
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 28, @@ -2775,7 +2859,7 @@ { "cell_type": "code", "execution_count": 29, - "id": "b6236d51", + "id": "264d09b2", "metadata": { "tags": [ "output_scroll" @@ -2787,16 +2871,16 @@ "text/html": [ "\n", - "\n", + "
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 operationsport_feesequipment_costtotal_labor_costmaterials_costOpExoperationsport_feesequipment_costtotal_labor_costmaterials_costOpEx
year
20031,600,008.0003,176,634.2201,060,0005,836,642.22
20041,604,391.58011,794,808.1205,703,00019,102,199.71
20051,600,008.0007,302,670.1004,394,00013,296,678.10
20061,600,008.00012,483,169.5406,583,50020,666,677.54
20071,600,008.00017,580,878.3607,734,00026,914,886.36
20081,604,391.58016,659,937.6006,280,50024,544,829.19
20091,600,008.0007,809,082.4704,757,50014,166,590.47
20101,600,008.00012,835,364.4005,360,50019,795,872.40
20111,600,008.00012,380,061.3205,721,50019,701,569.32
20121,604,391.58017,956,147.8907,720,50027,281,039.4720031,600,008.0007,192,328.2402,544,50011,336,836.24
20041,604,391.58012,333,461.5604,998,50018,936,353.15
20051,600,008.00013,129,835.1405,891,50020,621,343.14
20061,600,008.00010,378,219.0605,100,50017,078,727.06
20071,600,008.0009,708,607.4403,695,50015,004,115.44
20081,604,391.58012,667,885.0105,543,00019,815,276.60
20091,600,008.0007,246,974.4004,167,50013,014,482.40
20101,600,008.00017,409,993.5807,351,50026,361,501.58
20111,600,008.00012,392,769.8605,201,50019,194,277.86
20121,604,391.58017,623,416.6907,833,50027,061,308.27
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 29, @@ -2917,12 +3001,15 @@ }, { "cell_type": "markdown", - "id": "0eb0ab7c", + "id": "428e703d", "metadata": {}, "source": [ "## Process Times\n", "\n", - "Computes the total number of hours spent from repair request submission to completion, performing repairs, and the number of rquest for each repair category. For further documentation, see the API docs here: {py:meth}`wombat.core.post_processor.Metrics.process_times`.\n", + "Computes the total number of hours spent from repair request submission to completion,\n", + "performing repairs, and the number of request for each repair category. For further\n", + "documentation, see the API docs here:\n", + "{py:meth}`wombat.core.post_processor.Metrics.process_times`.\n", "\n", "**Example Usage**:" ] @@ -2930,7 +3017,7 @@ { "cell_type": "code", "execution_count": 30, - "id": "f5597910", + "id": "b8cd1562", "metadata": { "tags": [ "output_scroll" @@ -2942,15 +3029,15 @@ "text/html": [ "\n", - "\n", + "
\n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -2963,58 +3050,58 @@ " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", "
 time_to_completionprocess_timedowntimetime_to_startNtime_to_completionprocess_timedowntimetime_to_startN
category
annual service5,748,588.1770,704.57121,566.043,586,813.541,086annual service5,956,041.4676,421.70125,422.984,205,532.091,054
major repair101,409.133,053.642,982.0078,728.7455major repair81,213.042,712.847,465.7672,581.3745
major replacement178,222.2110,334.8710,696.00162,862.00108major replacement176,481.259,497.9314,829.95166,417.2396
manual reset1,721,095.6085,749.37109,232.921,583,188.388,993manual reset1,307,146.6383,714.5695,690.001,206,095.158,655
medium repair28,943.5920,337.5120,172.088,101.38332medium repair24,831.6518,009.8817,895.237,198.78310
minor repair216,229.7266,544.1366,487.25130,605.573,608minor repair199,213.8366,157.4566,341.48122,615.553,519
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 30, @@ -3028,15 +3115,18 @@ }, { "cell_type": "markdown", - "id": "74d8d0db", + "id": "88999848", "metadata": {}, "source": [ "## Power Production\n", "\n", - "Computes the total power production for the wind farm. For further documentation, see the API docs here: {py:meth}`wombat.core.post_processor.Metrics.power_production`.\n", + "Computes the total power production for the wind farm. For further documentation, see\n", + "the API docs here: {py:meth}`wombat.core.post_processor.Metrics.power_production`.\n", + "\n", "**Inputs**:\n", "\n", - "- `frequency`, as explained [above](#common-parameter-explanations), options: \"project\", \"annual\", \"monthly\", and \"month-year\"\n", + "- `frequency`, as explained [above](#common-parameter-explanations), options: \"project\",\n", + " \"annual\", \"monthly\", and \"month-year\"\n", "- `by`, as explained [above](#common-parameter-explanations) options: \"windfarm\" and \"turbine\"\n", "- `units`\n", " - \"kwh\": kilowatt-hours (kWh)\n", @@ -3049,7 +3139,7 @@ { "cell_type": "code", "execution_count": 31, - "id": "41123f99", + "id": "dbced19d", "metadata": { "tags": [ "output_scroll" @@ -3061,23 +3151,23 @@ "text/html": [ "\n", - "\n", + "
\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", "
 windfarmwindfarm
Project Energy Production (kWh)9,687,118,469.50Project Energy Production (kWh)9,687,555,774.50
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 31, @@ -3093,7 +3183,7 @@ { "cell_type": "code", "execution_count": 32, - "id": "769abea3", + "id": "599c7e63", "metadata": { "tags": [ "output_scroll" @@ -3105,23 +3195,23 @@ "text/html": [ "\n", - "\n", + "
\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", "
 windfarmwindfarm
Project Energy Production (MWh)9,687,118.47Project Energy Production (MWh)9,687,555.77
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 32, @@ -3137,7 +3227,7 @@ { "cell_type": "code", "execution_count": 33, - "id": "6e9fabf2", + "id": "9bcaf656", "metadata": { "tags": [ "output_scroll" @@ -3149,23 +3239,23 @@ "text/html": [ "\n", - "\n", + "
\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", "
 windfarmwindfarm
Project Energy Production (GWh)9,687.12Project Energy Production (GWh)9,687.56
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 33, @@ -3180,26 +3270,29 @@ }, { "cell_type": "markdown", - "id": "9038ec9c", + "id": "ad5764ed", "metadata": {}, "source": [ "## Net Present Value\n", "\n", - "Calcualtes the net present value (NPV) for the project, as $NPV = (Power * OfftakePrice - OpEx) / (1 + DiscountRate)$.\n", + "Calcualtes the net present value (NPV) for the project, as\n", + "$NPV = (Power * OfftakePrice - OpEx) / (1 + DiscountRate)$.\n", "\n", "For further documentation, see the API docs here: {py:meth}`wombat.core.post_processor.Metrics.npv`.\n", "\n", "**Inputs**:\n", "\n", - "- `frequency`, as explained [above](#common-parameter-explanations), options: \"project\", \"annual\", \"monthly\", and \"month-year\"\n", - "- `discount_rate`: The rate of return that could be earned on alternative investments, by default 0.025.\n", + "- `frequency`, as explained [above](#common-parameter-explanations), options: \"project\",\n", + " \"annual\", \"monthly\", and \"month-year\"\n", + "- `discount_rate`: The rate of return that could be earned on alternative investments,\n", + " by default 0.025.\n", "- `offtake_price`: Price of energy, per MWh, by default 80." ] }, { "cell_type": "code", "execution_count": 34, - "id": "6fed8dc6", + "id": "9ae33f5c", "metadata": { "tags": [ "output_scroll" @@ -3211,11 +3304,11 @@ "text/html": [ "\n", - "\n", + "
\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -3224,50 +3317,50 @@ " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", "
 OpExOpEx
year
20035,836,642.22200311,336,836.24
200419,102,199.71200418,936,353.15
200513,296,678.10200520,621,343.14
200620,666,677.54200617,078,727.06
200726,914,886.36200715,004,115.44
200824,544,829.19200819,815,276.60
200914,166,590.47200913,014,482.40
201019,795,872.40201026,361,501.58
201119,701,569.32201119,194,277.86
201227,281,039.47201227,061,308.27
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 34, @@ -3307,59 +3400,59 @@ }, "source_map": [ 11, - 20, - 39, - 76, - 94, - 140, - 145, - 148, - 153, - 158, - 163, - 168, - 172, - 190, - 196, - 212, - 220, - 235, - 240, - 244, - 256, - 260, - 276, + 22, + 41, + 85, + 103, + 162, + 167, + 170, + 176, + 182, + 188, + 194, + 198, + 218, + 224, + 245, + 253, + 271, + 277, 281, - 285, - 303, - 308, + 297, + 301, 323, - 330, - 335, + 329, + 333, + 355, 360, - 365, - 369, - 381, - 417, - 440, - 445, - 449, - 463, - 466, - 470, - 477, - 482, - 486, - 501, - 506, - 509, - 517, - 520, - 536, - 541, + 378, + 385, + 390, + 424, + 430, + 434, + 453, + 489, + 519, + 525, + 529, 546, - 550, - 565 + 549, + 553, + 561, + 567, + 571, + 591, + 596, + 599, + 610, + 613, + 632, + 638, + 644, + 648, + 665 ] }, "nbformat": 4, diff --git a/docs/jupyter_execute/examples/strategy_demonstration.ipynb b/docs/jupyter_execute/examples/strategy_demonstration.ipynb index f764aefc..7d543bb1 100644 --- a/docs/jupyter_execute/examples/strategy_demonstration.ipynb +++ b/docs/jupyter_execute/examples/strategy_demonstration.ipynb @@ -2,13 +2,12 @@ "cells": [ { "cell_type": "markdown", - "id": "4105905b", + "id": "31d40abb", "metadata": {}, "source": [ "# Servicing Strategies\n", "\n", - "In this example, we'll demonstrate the essential differences in scheduled servicing, unscheduled servicing, and tow-to-port repair repair strategies. Each of the examples demonstrated below will be based on the 2015 Dinwoodie, et al. paper, though the the variations will be for demonstration purposes only.\n", - "\n", + "In this example, we'll demonstrate the essential differences in scheduled servicing, unscheduled servicing, and tow-to-port repair strategies. Each of the examples demonstrated below will be based on the 2015 Dinwoodie, et al. paper, though the variations will be for demonstration purposes only.\n", "\n", "## WOMBAT Setup and Variables\n", "\n", @@ -20,7 +19,6 @@ "of salt given the reduction of HLV and FSV operational and mobilization costs.\n", "```\n", "\n", - "\n", "Scenario descriptions:\n", "- **Scheduled**: exactly the same as the base case (fsv_scheduled.yaml and hlv_scheduled.yaml)\n", "- **Unscheduled: requests**: the FSV and HLV are called to site when 10 requests that\n", @@ -35,7 +33,7 @@ "\n", "In this example, we will demonstrate how the results for the base case for the Dinwoodie, et al. example vary based on how each of the vessels are scheduled. The configuration details all remain the same, regardless of details, except for the strategy information, which is defined as follows:\n", "\n", - "This example is set up similarly to that of the validation cases to show how the results differ, and not a step-by-step guide for setting up the analyses. We refer the reader to the exensive [documentation](../API/index.md) and [How To example](how_to.md) for more information.\n", + "This example is set up similarly to that of the validation cases to show how the results differ, and not a step-by-step guide for setting up the analyses. We refer the reader to the extensive [documentation](../API/index.md) and [How To example](how_to.md) for more information.\n", "\n", "## Imports and notebook configuration" ] @@ -43,7 +41,7 @@ { "cell_type": "code", "execution_count": 1, - "id": "4c126e33", + "id": "c08a4ba4", "metadata": {}, "outputs": [], "source": [ @@ -62,14 +60,14 @@ }, { "cell_type": "markdown", - "id": "aaaeb1c8", + "id": "129e52d2", "metadata": {}, "source": [ "## Simulation and results setup\n", "\n", "Here we're providing the names of the configuration files (found at: dinwoodie / config)\n", "without their .yaml extensions (added in later) and the results that we want to compare\n", - "between simulations to understand some of the timing and cost trade offs between\n", + "between simulations to understand some of the timing and cost trade-offs between\n", "simulations.\n", "\n", "The dictionary of keys and lists will be used to create the results data frame where the\n", @@ -80,7 +78,7 @@ { "cell_type": "code", "execution_count": 2, - "id": "89186609", + "id": "8532ba2e", "metadata": {}, "outputs": [], "source": [ @@ -116,7 +114,7 @@ }, { "cell_type": "markdown", - "id": "9b43af11", + "id": "7e9f29c7", "metadata": {}, "source": [ "## Run the simulations and display the results" @@ -125,13 +123,19 @@ { "cell_type": "code", "execution_count": 3, - "id": "85cd3860", + "id": "3e11da83", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ + "/Users/rhammond/GitHub_Public/WOMBAT/wombat/core/post_processor.py:740: FutureWarning: ._reduce will require a `keepdims` parameter in the future\n", + " costs = costs.fillna(costs.max(axis=0)).T\n", + "/Users/rhammond/GitHub_Public/WOMBAT/wombat/core/post_processor.py:740: FutureWarning: ._reduce will require a `keepdims` parameter in the future\n", + " costs = costs.fillna(costs.max(axis=0)).T\n", + "/Users/rhammond/GitHub_Public/WOMBAT/wombat/core/post_processor.py:740: FutureWarning: ._reduce will require a `keepdims` parameter in the future\n", + " costs = costs.fillna(costs.max(axis=0)).T\n", "/Users/rhammond/GitHub_Public/WOMBAT/wombat/core/post_processor.py:740: FutureWarning: ._reduce will require a `keepdims` parameter in the future\n", " costs = costs.fillna(costs.max(axis=0)).T\n" ] @@ -194,22 +198,22 @@ " \n", " base_scheduled\n", " 0.02\n", - " 0.46\n", + " 0.47\n", " \n", " \n", " base_requests\n", " 0.02\n", - " 0.50\n", + " 0.49\n", " \n", " \n", " base_downtime\n", " 0.02\n", - " 0.42\n", + " 0.45\n", " \n", " \n", " base_tow_to_port\n", " 0.02\n", - " 0.54\n", + " 0.56\n", " \n", " \n", "\n", @@ -218,10 +222,10 @@ "text/plain": [ " Load Time (min) Run Time (min)\n", "Scenario \n", - "base_scheduled 0.02 0.46\n", - "base_requests 0.02 0.50\n", - "base_downtime 0.02 0.42\n", - "base_tow_to_port 0.02 0.54" + "base_scheduled 0.02 0.47\n", + "base_requests 0.02 0.49\n", + "base_downtime 0.02 0.45\n", + "base_tow_to_port 0.02 0.56" ] }, "execution_count": 3, @@ -306,7 +310,7 @@ { "cell_type": "code", "execution_count": 4, - "id": "adc5161b", + "id": "1a897c3a", "metadata": {}, "outputs": [ { @@ -346,7 +350,7 @@ " \n", " \n", " availability - production based\n", - " 0.96\n", + " 0.97\n", " 0.97\n", " 0.97\n", " 0.96\n", @@ -367,31 +371,31 @@ " \n", " \n", " power production\n", - " 9,679.20\n", - " 9,682.73\n", - " 9,738.50\n", - " 9,619.15\n", + " 9,683.02\n", + " 9,684.38\n", + " 9,736.78\n", + " 9,628.42\n", " \n", " \n", " task completion rate\n", " 0.98\n", - " 0.97\n", + " 0.98\n", " 0.99\n", - " 0.94\n", + " 0.91\n", " \n", " \n", " annual direct O&M cost\n", - " 19.08\n", - " 19.19\n", - " 5.43\n", - " 11.11\n", + " 17.70\n", + " 16.98\n", + " 5.48\n", + " 11.52\n", " \n", " \n", " annual vessel cost\n", - " 13.28\n", - " 12.41\n", + " 12.25\n", + " 10.90\n", " 1.92\n", - " 2.06\n", + " 2.07\n", " \n", " \n", " ctv cost\n", @@ -403,14 +407,14 @@ " \n", " fsv cost\n", " 0.27\n", - " 0.30\n", + " 0.19\n", " 0.00\n", " 0.00\n", " \n", " \n", " hlv cost\n", - " 11.10\n", - " 10.19\n", + " 10.06\n", + " 8.79\n", " 0.00\n", " 0.00\n", " \n", @@ -419,14 +423,14 @@ " 0.00\n", " 0.00\n", " 0.00\n", - " 0.14\n", + " 0.16\n", " \n", " \n", " annual repair cost\n", - " 4.20\n", - " 5.19\n", - " 1.91\n", - " 5.44\n", + " 3.85\n", + " 4.48\n", + " 1.96\n", + " 5.85\n", " \n", " \n", " annual technician cost\n", @@ -445,14 +449,14 @@ " \n", " fsv utilization\n", " 1.00\n", - " 0.93\n", + " 0.92\n", " 0.00\n", " 0.00\n", " \n", " \n", " hlv utilization\n", " 0.97\n", - " 0.93\n", + " 0.92\n", " 0.00\n", " 0.00\n", " \n", @@ -470,22 +474,22 @@ "text/plain": [ " base_scheduled base_requests base_downtime \\\n", "availability - time based 1.00 1.00 1.00 \n", - "availability - production based 0.96 0.97 0.97 \n", + "availability - production based 0.97 0.97 0.97 \n", "capacity factor - net 0.46 0.46 0.46 \n", "capacity factor - gross 0.48 0.48 0.48 \n", - "power production 9,679.20 9,682.73 9,738.50 \n", - "task completion rate 0.98 0.97 0.99 \n", - "annual direct O&M cost 19.08 19.19 5.43 \n", - "annual vessel cost 13.28 12.41 1.92 \n", + "power production 9,683.02 9,684.38 9,736.78 \n", + "task completion rate 0.98 0.98 0.99 \n", + "annual direct O&M cost 17.70 16.98 5.48 \n", + "annual vessel cost 12.25 10.90 1.92 \n", "ctv cost 1.92 1.92 1.92 \n", - "fsv cost 0.27 0.30 0.00 \n", - "hlv cost 11.10 10.19 0.00 \n", + "fsv cost 0.27 0.19 0.00 \n", + "hlv cost 10.06 8.79 0.00 \n", "tow cost 0.00 0.00 0.00 \n", - "annual repair cost 4.20 5.19 1.91 \n", + "annual repair cost 3.85 4.48 1.96 \n", "annual technician cost 1.60 1.60 1.60 \n", "ctv utilization 1.00 1.00 1.00 \n", - "fsv utilization 1.00 0.93 0.00 \n", - "hlv utilization 0.97 0.93 0.00 \n", + "fsv utilization 1.00 0.92 0.00 \n", + "hlv utilization 0.97 0.92 0.00 \n", "tow utilization 0.00 0.00 0.00 \n", "\n", " base_tow_to_port \n", @@ -493,15 +497,15 @@ "availability - production based 0.96 \n", "capacity factor - net 0.46 \n", "capacity factor - gross 0.48 \n", - "power production 9,619.15 \n", - "task completion rate 0.94 \n", - "annual direct O&M cost 11.11 \n", - "annual vessel cost 2.06 \n", + "power production 9,628.42 \n", + "task completion rate 0.91 \n", + "annual direct O&M cost 11.52 \n", + "annual vessel cost 2.07 \n", "ctv cost 1.92 \n", "fsv cost 0.00 \n", "hlv cost 0.00 \n", - "tow cost 0.14 \n", - "annual repair cost 5.44 \n", + "tow cost 0.16 \n", + "annual repair cost 5.85 \n", "annual technician cost 1.60 \n", "ctv utilization 1.00 \n", "fsv utilization 0.00 \n", @@ -547,12 +551,12 @@ }, "source_map": [ 11, - 47, - 59, - 72, - 101, - 105, - 179 + 45, + 57, + 70, + 99, + 103, + 177 ] }, "nbformat": 4, diff --git a/docs/source/API/core.md b/docs/source/API/core.md index bc72c0c2..eefe5432 100644 --- a/docs/source/API/core.md +++ b/docs/source/API/core.md @@ -1,7 +1,7 @@ # Simulation Core Classes There are a variety of components that enable a simulation to be run, from the -environmen to the management of repairs to the servicing equipment. The below will show +environment to the management of repairs to the servicing equipment. The below will show how each of the APIs are powered to enable the full flexibility of modeling. ```{image} ../images/simulation_tools.svg @@ -11,6 +11,7 @@ how each of the APIs are powered to enable the full flexibility of modeling. ``` ## Environment + ```{eval-rst} .. autoclass:: wombat.core.environment.WombatEnvironment :members: @@ -18,6 +19,7 @@ how each of the APIs are powered to enable the full flexibility of modeling. ``` ## Repair Management + ```{eval-rst} .. autoclass:: wombat.core.repair_management.RepairManager :members: @@ -26,6 +28,7 @@ how each of the APIs are powered to enable the full flexibility of modeling. ``` ## Servicing Equipment + ```{eval-rst} .. automodule:: wombat.core.service_equipment :members: @@ -40,6 +43,7 @@ how each of the APIs are powered to enable the full flexibility of modeling. ``` ## Port + ```{eval-rst} .. automodule:: wombat.core.port :exclude-members: Port diff --git a/docs/source/API/index.md b/docs/source/API/index.md index b8a68e78..99604084 100644 --- a/docs/source/API/index.md +++ b/docs/source/API/index.md @@ -3,7 +3,7 @@ The WOMBAT framework relies on a set of base data classes powered by the attrs library and a series of simulation classes and methods to perform all the operations. -To make a it easier for users, there is also a simulation interface provided. +To make it easier for users, there is also a simulation interface provided. ## Package Hierarchy diff --git a/docs/source/API/simulation_api.md b/docs/source/API/simulation_api.md index 468fbf5d..f3c6cfbe 100644 --- a/docs/source/API/simulation_api.md +++ b/docs/source/API/simulation_api.md @@ -7,6 +7,7 @@ ``` ## Configuration + ```{eval-rst} .. autoclass:: wombat.core.simulation_api.Configuration :members: @@ -18,6 +19,7 @@ ``` ## Simulation Interface + ```{eval-rst} .. autoclass:: wombat.core.simulation_api.Simulation :members: @@ -27,9 +29,11 @@ random_generator ``` - ## Metrics Computation -For example usage of the Metrics class and its associated methods, please see the [examples documentation page](../examples/metrics_demonstration) + +For example usage of the Metrics class and its associated methods, please see the +[examples documentation page](../examples/metrics_demonstration) + ```{eval-rst} .. autoclass:: wombat.core.post_processor.Metrics :members: from_simulation_outputs, power_production, time_based_availability, diff --git a/docs/source/API/types.md b/docs/source/API/types.md index 0bbfffcb..3a9ae2b7 100644 --- a/docs/source/API/types.md +++ b/docs/source/API/types.md @@ -10,7 +10,7 @@ simulation. :width: 2400px ``` -## What is this FromDictMixin I keep seeing in the code diagrams? +## What is this `FromDictMixin` I keep seeing in the code diagrams? The `FromDictMixin` class provides a standard method for providing dictionary definitions to `attrs` dataclasses without worrying about overloading the definition. Plus, you get @@ -27,6 +27,7 @@ hoping for the best. ## Scheduled and Unscheduled Maintenance ### Maintenance Tasks + ```{eval-rst} .. autoclass:: wombat.core.data_classes.Maintenance :members: @@ -36,6 +37,7 @@ hoping for the best. ``` ### Failures + ```{eval-rst} .. autoclass:: wombat.core.data_classes.Failure :members: @@ -46,6 +48,7 @@ hoping for the best. ``` ### Repair Requests + ```{eval-rst} .. autoclass:: wombat.core.data_classes.RepairRequest :members: @@ -57,6 +60,7 @@ hoping for the best. ## Servicing Equipment and Crews ### Service Equipment + ```{eval-rst} .. autoclass:: wombat.core.data_classes.ServiceEquipmentData :members: @@ -65,6 +69,7 @@ hoping for the best. ``` ### ServiceCrew + ```{eval-rst} .. autoclass:: wombat.core.data_classes.ServiceCrew :members: @@ -73,6 +78,7 @@ hoping for the best. ``` ### Scheduled Service Equipment + ```{eval-rst} .. autoclass:: wombat.core.data_classes.ScheduledServiceEquipmentData :members: @@ -88,6 +94,7 @@ hoping for the best. ``` ### Unscheduled Service Equipment + ```{eval-rst} .. autoclass:: wombat.core.data_classes.UnscheduledServiceEquipmentData :members: @@ -104,6 +111,7 @@ hoping for the best. ``` ### Port Configuration + ```{eval-rst} .. autoclass:: wombat.core.data_classes.PortConfig :members: @@ -117,6 +125,7 @@ hoping for the best. ## Wind Farm Support ### Subassembly Model + ```{eval-rst} .. autoclass:: wombat.core.data_classes.SubassemblyData :members: @@ -127,6 +136,7 @@ hoping for the best. ``` ### Wind Farm Map + ```{eval-rst} .. autoclass:: wombat.core.data_classes.WindFarmMap :members: @@ -135,6 +145,7 @@ hoping for the best. ``` ### Substation Map + ```{eval-rst} .. autoclass:: wombat.core.data_classes.SubstationMap :members: @@ -143,6 +154,7 @@ hoping for the best. ``` ### String + ```{eval-rst} .. autoclass:: wombat.core.data_classes.String :members: @@ -151,6 +163,7 @@ hoping for the best. ``` ### Sub String + ```{eval-rst} .. autoclass:: wombat.core.data_classes.SubString :members: @@ -161,6 +174,7 @@ hoping for the best. ## Miscellaneous ### Fixed Cost Model + ```{eval-rst} .. autoclass:: wombat.core.data_classes.FixedCosts :members: diff --git a/docs/source/API/windfarm.md b/docs/source/API/windfarm.md index 98599a37..883d0eef 100644 --- a/docs/source/API/windfarm.md +++ b/docs/source/API/windfarm.md @@ -4,7 +4,8 @@ The wind farm classes define how the wind farm's graph model are created, and po timing out of the failures and maintenance events within the simulation for the cables, substations, and turbines. -## Windfarm +## Wind Farm + ```{eval-rst} .. automodule:: wombat.windfarm.windfarm :members: @@ -12,13 +13,15 @@ substations, and turbines. ``` ## System: Wind turbine or substation + ```{eval-rst} .. automodule:: wombat.windfarm.system.system :members: :undoc-members: ``` -## Subassembly: The modeled componenents of a system +## Subassembly: The modeled components of a system + ```{eval-rst} .. automodule:: wombat.windfarm.system.subassembly :members: @@ -26,6 +29,7 @@ substations, and turbines. ``` ## Cable: Hybrid system and subassembly model + ```{eval-rst} .. automodule:: wombat.windfarm.system.cable :members: diff --git a/docs/source/conf.py b/docs/source/conf.py index a711cd73..ac2cf6f5 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -98,6 +98,7 @@ nb_execution_mode = "auto" nb_execution_timeout = -1 nb_execution_allow_errors = True +nb_merge_streams = True # nb_execution_excludepatterns.extend( # [ # "how_to.md", diff --git a/docs/source/examples/examples_reference.md b/docs/source/examples/examples_reference.md index a9b344b4..bcf32995 100644 --- a/docs/source/examples/examples_reference.md +++ b/docs/source/examples/examples_reference.md @@ -1,5 +1,4 @@ -Examples Reference -================== +# Examples Reference This page will provide a brief overview of the varying examples available in the [examples folder on GitHub](https://github.com/WISDEM/WOMBAT/blob/main/examples). @@ -17,8 +16,8 @@ to users. ### `how_to.ipynb` -This is a Jupyter Notebook version of the [*How To* section](./how_to.md) of the documentation that -allows users to interact with the walk through. +This is a Jupyter Notebook version of the [*How To* section](./how_to.md) of the +documentation that allows users to interact with the walk through. ### `strategy_demonstration.ipynb` @@ -37,7 +36,6 @@ allows users to interact with the varying maintenance strategy models. This is the notebook used for the NAWEA WindTech 2023 Workshop. See [here](../workshops/nawea_wind_tech_2023.md) for details. - ## Validation ### `dinwoodie_validation.ipynb` diff --git a/docs/source/examples/how_to.md b/docs/source/examples/how_to.md index 4eabceda..8c7d1605 100644 --- a/docs/source/examples/how_to.md +++ b/docs/source/examples/how_to.md @@ -16,8 +16,8 @@ simulation while providing background information about how each component is re ## Imports -The following code block demonstrates a typical setup for working with WOMBAT and running -analyses. +The following code block demonstrates a typical setup for working with WOMBAT and +running analyses. ```{code-cell} ipython3 from time import perf_counter # timing purposes only @@ -37,7 +37,6 @@ pd.set_option("display.max_rows", 1000) pd.set_option("display.max_columns", 1000) ``` - ## Defining the Simulation The following will demonstrate the required information to run a simulation. For the @@ -87,26 +86,32 @@ As a convenience feature you can import the provided validation data libraries a `DINWOODIE` or `IEA_26` as is seen in the imports above, and a consistent path will be enabled. -In practice, any folder location can be used so long as it follows the subfolder structure provided -here. - +In practice, any folder location can be used so long as it follows the subfolder +structure provided here. -### Windfarm Layout - -The windfarm layout is determined by a csv file, `dinwoodie/windfarm/layout.csv` in this case. Below is a sample of what information is required and how to use each field, followed by a visual example. It should be noted that none of the headings are case sensitive. +### Wind Farm Layout +The wind farm layout is determined by a csv file, `dinwoodie/windfarm/layout.csv` in +this case. Below is a sample of what information is required and how to use each field, +followed by a visual example. It should be noted that none of the headings are +case-sensitive. id (required) : Unique identifier for the asset; no spaces allowed. substation_id (required) -: The id field for the substation that the asset connects to; in the case that this is a substation, then this field should be the same as id; no spaces allowed. +: The id field for the substation that the asset connects to; in the case that this is a + substation, then this field should be the same as `id`; no spaces allowed. name (required) -: A descriptive name for the turbine, if desired. This can be the same as id. +: A descriptive name for the turbine, if desired. This can be the same as `id`. type (optional) -: One of "turbine" or "substation". This is required to accurately model a multi-substation wind farm. The base assumption is that a substation connects to itself as a means to model the export cable connecting to the interconnection point, however, this is not always the case, as substations may be connected through their export systems. Using this filed allows for that connection to be modeled accurately. +: One of "turbine" or "substation". This is required to accurately model a + multi-substation wind farm. The base assumption is that a substation connects to + itself as a means to model the export cable connecting to the interconnection point, + however, this is not always the case, as substations may be connected through their + export systems. Using this filed allows for that connection to be modeled accurately. longitude (optional) : The longitudinal position of the asset, can be in any geospatial reference; optional. @@ -118,10 +123,12 @@ string (required) : The integer, zero-indexed, string number for where the turbine will be positioned. order (required) -: The integer, zero-indexed position on the string for where the turbine will be positioned. +: The integer, zero-indexed position on the string for where the turbine will be + positioned. distance (optional) -: The distance to the upstream asset; if this is calculated (input = 0), then the straightline distance is calculated using the provided coordinates (WGS-84 assumed). +: The distance to the upstream asset; if this is calculated (input = 0), then the + straight line distance is calculated using the provided coordinates (WGS-84 assumed). subassembly (required) : The file that defines the asset's modeling parameters. @@ -130,7 +137,9 @@ upstream_cable (required) : The file that defines the upstream cable's modeling parameters. upstream_cable_name (optional) -: The descriptive name to give to the cable that will be used during logging. This enables users to use a single cable definition file while maintaining the naming conventions used for the wind farm being simulated. +: The descriptive name to give to the cable that will be used during logging. This + enables users to use a single cable definition file while maintaining the naming + conventions used for the wind farm being simulated. ```{note} In the example below, there are a few noteworthy caveats that will set the stage for @@ -169,13 +178,12 @@ datetime (required) : A date and time stamp, any format. windspeed (required) -: The hourly, mean windspeed, in meters per second at the time stamp. +: The hourly, mean winds peed, in meters per second at the time stamp. waveheight (optional) -: The hourly, mean waveheight, in meters, at the time stamp. If waves are not required, +: The hourly, mean wave height, in meters, at the time stamp. If waves are not required, this can be filled with zeros, or be left out entirely. - Below, is a demonstration of what `weather/alpha_ventus_weather_2002_2014.csv` looks like. | datetime | windspeed | waveheight | @@ -188,7 +196,6 @@ Below, is a demonstration of what `weather/alpha_ventus_weather_2002_2014.csv` l | 12/31/14 22:00 | 14.40838803 | 0.869625003 | | 12/31/14 23:00 | 14.04563195 | 0.993031445 | - ### Environmental Considerations In addition to using weather conditions for site characteristics, WOMBAT is able to @@ -211,7 +218,6 @@ for defining when the operating speeds of servicing equipment are capped at the `reduced_speed`. As is the case above, these variables can also be defined at the servicing equipment level for further customization. - ### Fixed Costs Please see the [`FixedCosts` API documentation](../API/types.md#fixed-cost-model) for @@ -220,7 +226,6 @@ details on this optional piece of financial modeling. For modeling a tow-to-port strategy that the port rental costs should be included in this category, and not in the port configuration. - ### Servicing Equipment The servicing equipment control the actual repairs within a simulation, and as of v0.5, @@ -233,7 +238,7 @@ subassembly. For complete documentation of how the servicing equipment parameters are defined, please see the [ServiceEquipmentData API documentation](../API/types.md#service-equipment) -Below is an definition of the different equipment codes and their designations to show +Below is a definition of the different equipment codes and their designations to show the breadth of what can be simulated. These codes do not have separate operating models, but instead allow the user to specify the types of operations the servicing equipment will be able to operate on. This model should be aligned with the `service_equipment` @@ -266,7 +271,7 @@ the simulation's `Port` will dispatch the tugboats as needed) AHV : anchor handling vessel (this is a variation on the tugboat for mooring repairs that -will not tow anthing between port and site, but operate at the site) +will not tow anything between port and site, but operate at the site) Aside from the TOW and AHV capabilities there are no operations specific to each capability. The remaining configurations of a servicing equipment such as equipment @@ -290,15 +295,14 @@ requests that the equipment can service has been reached downtime -: dispatch the servicing equipment once the windfarm's operating level reaches the +: dispatch the servicing equipment once the wind farm's operating level reaches the `strategy_threshold` percent downtime. - ### The System Models The actual assets on the windfarm such as cables, turbines, and substations, are referred to as systems in WOMBAT, and each has their own individual model. Within each -of these systems, there are user-defined subassemblies (or componenents) that rely on +of these systems, there are user-defined subassemblies (or components) that rely on two types of repair models: - maintenance: scheduled, fixed time interval-based maintenance tasks @@ -312,7 +316,7 @@ characters, and cannot be repeated In the example below we show a `generator` subassembly with an annual service task and frequent manual reset. For a thorough definition, please read the API documentation of the [Maintenance](../API/types.md#maintenance-tasks) and -[Failure](../API/types.md#failures) data classes. Note that the yaml defintion below +[Failure](../API/types.md#failures) data classes. Note that the yaml definition below specifies that maintenance tasks are in a bulleted list format and that failure defintions require a dictionary-style input with keys to match the severity level of a given failure. For more details on the complete subassembly definition, please visit the @@ -341,13 +345,12 @@ generator: description: manual reset ``` - #### Substations The substation model relies on two specific inputs, and one subassembly input (transformer). capacity_kw -: The capacity of all turbines in the windfarm, neglecting any losses. Only needed if +: The capacity of all turbines in the wind farm, neglecting any losses. Only needed if a $/kw cost basis is being used. capex_kw @@ -357,7 +360,7 @@ Additional keys can be added to represent subassemblies, such as a transformer, same format as the generator example above. Similarly, a user can define as man or as few of the subassemblies as desired with their preferred naming conventions -The following is an example of substation YAML definition with no modeled subasemblies. +The following is an example of substation YAML definition with no modeled subassemblies. ```{code-block} yaml capacity_kw: 670000 @@ -383,10 +386,9 @@ transformer: description: n/a ``` - #### Turbines -The turbine has the most to define out of the three systems in the windfarm model. +The turbine has the most to define out of the three systems in the wind farm model. Similar to the substation, it relies mainly on the subassembly model with a few extra parameters, as defined here: @@ -404,7 +406,7 @@ The desired interval, in m/s, between adjacent points on the power curve to be u power calculations. The `windfarm/vestas_v90.yaml` data file provides the following definition in addition -to the the maintenance and failure definitions that were shown previously. +to the maintenance and failure definitions that were shown previously. ```{code-block} yaml capacity_kw: 3000 @@ -415,16 +417,16 @@ power_curve: ``` The power curve input CSV requires the following two columns: `windspeed_ms` and -`power_kw` that should be defined using the windspeed for a bin, in m/s and the power produced at that -windspeed, in kW. The current method available for generating the power curve is the IEC -61400-12-1-2 method for a wind-speed binned power curve. If there is a need/desire for -additional power curve methodologies, then [please submit an issue on the GitHub](https://github.com/WISDEM/WOMBAT/issues)! +`power_kw` that should be defined using the wind speed for a bin, in m/s and the power +produced at that wind speed, in kW. The current method available for generating the +power curve is the IEC 61400-12-1-2 method for a wind-speed binned power curve. If there +is a need/desire for additional power curve methodologies, then +[please submit an issue on the GitHub](https://github.com/WISDEM/WOMBAT/issues)! For an open source listing of a variety of land-based, offshore, and distributed wind turbine power curves, please visit the [NREL Turbine Models repository](https://github.com/NREL/turbine-models). - #### Cables The array cable is the simplest format in that you only define a descriptive name, @@ -458,7 +460,6 @@ failures: description: n/a ``` - ## Set Up the Simulation In the remaining sections of the tutorial, we will work towards setting up and running @@ -466,8 +467,8 @@ a simulation. ### Define the data library path -The set library enables WOMBAT to easily access and store data files in a consistent -manner. Here the `DINWOODIE` reference is going to be used again. +The set library enables WOMBAT to easily access and store data files consistently. Here, +the `DINWOODIE` reference is going to be used again. ```{note} If a custom library is being used, the `library_path` must be the full path name to the @@ -484,9 +485,8 @@ library_path = DINWOODIE # or user-defined path for an external data library ### The configuration file - In the configuration below, there are a number of data points that will define our -windfarm layout, weather conditions, working hours, customized start and completion +wind farm layout, weather conditions, working hours, customized start and completion years, project size, financials, and the servicing equipment to be used. Note that there can be as many or as few of the servicing equipment units as desired. @@ -635,10 +635,11 @@ print(f" Project equipment costs: ${total.values[0][0] / sim.metrics.pr ``` - ## Optional: Delete the logging files -In the case that a lot of simulations are going to be run, and the processed outputs are all that is required, then there is a convenience method to cleanup these files automatically once you are done. +In the case that a lot of simulations are going to be run, and the processed outputs +are all that is required, then there is a convenience method to clean up these files +automatically once you are done. ```{code-cell} ipython3 sim.env.cleanup_log_files() diff --git a/docs/source/examples/metrics_demonstration.md b/docs/source/examples/metrics_demonstration.md index efdb85f9..88d3bff2 100644 --- a/docs/source/examples/metrics_demonstration.md +++ b/docs/source/examples/metrics_demonstration.md @@ -12,10 +12,12 @@ kernelspec: # Demonstration of the Available Metrics -For a complete list of metrics and their documentation, please see the API Metrics [documentation](../API/simulation_api.md#metrics-computation). - -This demonstration will rely on the results produced in the "How To" notebook and serves as an extension of the API documentation to show what the results will look like depending on what inputs are provided. +For a complete list of metrics and their documentation, please see the API Metrics +[documentation](../API/simulation_api.md#metrics-computation). +This demonstration will rely on the results produced in the "How To" notebook and serves +as an extension of the API documentation to show what the results will look like +depending on what inputs are provided. ```{code-cell} ipython3 :tags: ["output_scroll"] @@ -40,38 +42,45 @@ style = partial( ## Table of Contents -Below is a list of top-level sections to demonstrate how to use WOMBAT's `Metrics` class methods and an explanation of each individual metric. +Below is a list of top-level sections to demonstrate how to use WOMBAT's `Metrics` +class methods and an explanation of each individual metric. If you don't see a metric or result computation that is core to your work, please submit an [issue](https://github.com/WISDEM/WOMBAT/issues/new) with details on what the metric is, and how it should be computed. - - [Setup](#setup): Running a simulation to gather the results - - [Common Parameters](#common-parameter-explanations): Explanation of frequently used parameter settings - - [Availability](#availability): Time-based and energy-based availability - - [Capacity Factor](#capacity-factor): Gross and net capacity factor - - [Task Completion Rate](#task-completion-rate): Task completion metrics - - [Equipment Costs](#equipment-costs): Cost breakdowns by servicing equipment - - [Service Equipment Utilization Rate](#service-equipment-utilization-rate): Utilization of servicing equipment - - [Vessel-Crew Hours at Sea](#vessel-crew-hours-at-sea): Number of crew or vessel hours spent at sea - - [Number of Tows](#number-of-tows): Number of tows breakdowns - - [Labor Costs](#labor-costs): Breakdown of labor costs - - [Equipment and Labor Costs](#equipment-and-labor-costs): Combined servicing equipment and labor cost breakdown - - [Emissions](#emissions): Emissions of servicing equipment based on activity - - [Component Costs](#component-costs): Materials costs - - [Fixed Cost Impacts](#fixed-cost-impacts): Total fixed costs - - [OpEx](#opex): Project OpEx - - [Process Times](#process-times): Timing of various stages of repair and maintenance - - [Power Production](#power-production): Potential and actually produced power - - [Net Present Value](#net-present-value): Project NPV calculator +- [Setup](#setup): Running a simulation to gather the results +- [Common Parameters](#common-parameter-explanations): Explanation of frequently used + parameter settings +- [Availability](#availability): Time-based and energy-based availability +- [Capacity Factor](#capacity-factor): Gross and net capacity factor +- [Task Completion Rate](#task-completion-rate): Task completion metrics +- [Equipment Costs](#equipment-costs): Cost breakdowns by servicing equipment +- [Service Equipment Utilization Rate](#service-equipment-utilization-rate): Utilization + of servicing equipment +- [Vessel-Crew Hours at Sea](#vessel-crew-hours-at-sea): Number of crew or vessel hours + spent at sea +- [Number of Tows](#number-of-tows): Number of tows breakdowns +- [Labor Costs](#labor-costs): Breakdown of labor costs +- [Equipment and Labor Costs](#equipment-and-labor-costs): Combined servicing equipment + and labor cost breakdown +- [Emissions](#emissions): Emissions of servicing equipment based on activity +- [Component Costs](#component-costs): Materials costs +- [Fixed Cost Impacts](#fixed-cost-impacts): Total fixed costs +- [OpEx](#opex): Project OpEx +- [Process Times](#process-times): Timing of various stages of repair and maintenance +- [Power Production](#power-production): Potential and actually produced power +- [Net Present Value](#net-present-value): Project NPV calculator (setup)= ## Setup -The simulations from the How To notebook are going to be rerun as it is not recommended to create a Metrics class from scratch due to the -large number of inputs that are required and the initialization is provided in the simulation API's run method. +The simulations from the *How To* notebook are going to be rerun as it is not +recommended to create a Metrics class from scratch due to the large number of inputs +that are required, and the initialization is provided in the simulation API's run method. -To simplify this process, a feature has been added to save the simulation outputs required to generate the Metrics inputs and a method to reload those outputs as inputs. +To simplify this process, a feature has been added to save the simulation outputs +required to generate the Metrics inputs and a method to reload those outputs as inputs. ```{code-cell} ipython3 :tags: ["output_scroll"] @@ -95,47 +104,60 @@ metrics = sim.metrics ## Common Parameter Explanations -Before diving into each and every metric, and how they can be customized, it is is worth noting some of the most common parameters used throughout, and their meanings to reduce redundancy. The varying output forms are demonstrated in the [availability](#availability) section below. +Before diving into each and every metric, and how they can be customized, it is worth +noting some of the most common parameters used throughout, and their meanings to reduce +redundancy. The varying output forms are demonstrated in the +[availability](#availability) section below. ### `frequency` project - : Computed across the whole simulation, with the resulting `DataFrame` having an empty index. + : Computed across the whole simulation, with the resulting `DataFrame` having an empty + index. annual - : Summary of each year in the simulation, with the resulting `DataFrame` having "year" as the index. + : Summary of each year in the simulation, with the resulting `DataFrame` having "year" + as the index. monthly - : Summary of each month of the year, aggregated across years, with the resulting `DataFrame` having "month" as the index. + : Summary of each month of the year, aggregated across years, with the resulting + `DataFrame` having "month" as the index. month-year - : computed on a month-by-year basis, producing the results for every month of the simulation, with the resulting `DataFrame` having "year" and "month" as the index. + : computed on a month-by-year basis, producing the results for every month of the + simulation, with the resulting `DataFrame` having "year" and "month" as the index. ### `by` windfarm - : Aggregated across all turbines, with the resulting `DataFrame` having only "windfarm" as a column + : Aggregated across all turbines, with the resulting `DataFrame` having only + "windfarm" as a column turbine - : Computed for each turbine, with the resulting `DataFrame` having a column for each turbine + : Computed for each turbine, with the resulting `DataFrame` having a column for each + turbine ## Availability There are two methods to produce availability, which have their own function calls: - - energy: actual power produced divided by potential power produced - - {py:meth}`wombat.core.post_processor.Metrics.production_based_availability` - - time: The ratio of all non-zero hours to all hours in the simulation, or the proportion of the simulation where turbines are operating - - {py:meth}`wombat.core.post_processor.Metrics.time_based_availability` + +- energy: actual power produced divided by potential power produced + - {py:meth}`wombat.core.post_processor.Metrics.production_based_availability` +- time: The ratio of all non-zero hours to all hours in the simulation, or the + proportion of the simulation where turbines are operating + - {py:meth}`wombat.core.post_processor.Metrics.time_based_availability` Here, we will go through the various input definitions to get time-based availability data as both methods use the same inputs, and provide outputs in the same format. **Inputs**: -- `frequency`, as explained [above](#common-parameter-explanations) options: "project", "annual", "monthly", and "month-year" -- `by`, as explained [above](#common-parameter-explanations) options: "windfarm" and "turbine" - +- `frequency`, as explained [above](#common-parameter-explanations) options: "project", + "annual", "monthly", and "month-year" +- `by`, as explained [above](#common-parameter-explanations) options: "windfarm" and + "turbine" -Below is a demonstration of the variations on `frequency` and `by` for `time_based_availability`. +Below is a demonstration of the variations on `frequency` and `by` for +`time_based_availability`. ```{code-cell} ipython3 :tags: ["output_scroll"] @@ -147,46 +169,52 @@ style(metrics.time_based_availability(frequency="project", by="windfarm")) style(metrics.production_based_availability(frequency="project", by="windfarm")) ``` -Note that in the two above examples, that the values are equal. This is due to the fact that the example simulation does not have any operating reduction applied to failures, unless it's a catastrophic failure, so -there is be no expected difference. +Note that in the two above examples, that the values are equal. This is due to the fact +that the example simulation does not have any operating reduction applied to failures, +unless it's a catastrophic failure, so there is no expected difference. ```{code-cell} ipython3 :tags: ["output_scroll"] # Demonstrate the by turbine granularity style(metrics.time_based_availability(frequency="project", by="turbine")) ``` + ```{code-cell} ipython3 :tags: ["output_scroll"] # Demonstrate the annualized outputs style(metrics.time_based_availability(frequency="annual", by="windfarm")) ``` + ```{code-cell} ipython3 :tags: ["output_scroll"] # Demonstrate the month aggregations style(metrics.time_based_availability(frequency="monthly", by="windfarm")) ``` + ```{code-cell} ipython3 :tags: ["output_scroll"] # Demonstrate the granular monthly reporting style(metrics.time_based_availability(frequency="month-year", by="windfarm")) ``` - ## Capacity Factor -The capacity factor is the ratio of actual (net) or potential (gross) energy production divided by the project's capacity. For further documentation, see the API docs here: {py:meth}`wombat.core.post_processor.Metrics.capacity_factor`. +The capacity factor is the ratio of actual (net) or potential (gross) energy production +divided by the project's capacity. For further documentation, see the API docs here: +{py:meth}`wombat.core.post_processor.Metrics.capacity_factor`. **Inputs**: - `which` - - "net": net capcity factor, actual production divided by the plant capacity + - "net": net capacity factor, actual production divided by the plant capacity - "gross": gross capacity factor, potential production divided by the plant capacity -- `frequency`, as explained [above](#common-parameter-explanations), options: "project", "annual", "monthly", and "month-year" -- `by`, as explained [above](#common-parameter-explanations), options: "windfarm" and "turbine" +- `frequency`, as explained [above](#common-parameter-explanations), options: "project", + "annual", "monthly", and "month-year" +- `by`, as explained [above](#common-parameter-explanations), options: "windfarm" and + "turbine" **Example Usage**: - ```{code-cell} ipython3 :tags: ["output_scroll"] net_cf = metrics.capacity_factor(which="net", frequency="project", by="windfarm").values[0][0] @@ -197,15 +225,20 @@ print(f"Gross capacity factor: {gross_cf:.2%}") ## Task Completion Rate -The task completion rate is the ratio of tasks completed aggregated to the desired `frequency`. It is possible to have a >100% completion rate if all maintenance and failure requests submitted in a time period were completed in addition to those that went unfinished in prior time periods. For further documentation, see the API docs here: {py:meth}`wombat.core.post_processor.Metrics.task_completion_rate`. +The task completion rate is the ratio of tasks completed aggregated to the desired +`frequency`. It is possible to have a >100% completion rate if all maintenance and +failure requests submitted in a time period were completed in addition to those that +went unfinished in prior time periods. For further documentation, see the API docs here: +{py:meth}`wombat.core.post_processor.Metrics.task_completion_rate`. **Inputs**: - `which` - - "scheduled": scheduled maintenance only (classified as maintenace tasks in inputs) + - "scheduled": scheduled maintenance only (classified as maintenance tasks in inputs) - "unscheduled": unscheduled maintenance only (classified as failure events in inputs) - "both": Combined completion rate for all tasks -- `frequency`, as explained [above](#common-parameter-explanations), options: "project", "annual", "monthly", and "month-year" +- `frequency`, as explained [above](#common-parameter-explanations), options: "project", + "annual", "monthly", and "month-year" **Example Usage**: @@ -221,11 +254,14 @@ print(f" Overall Task Completion Rate: {combined:.2%}") ## Equipment Costs -Sum of the costs associated with a simulation's servicing equipment, which excludes materials, downtime, etc. For further documentation, see the API docs here: {py:meth}`wombat.core.post_processor.Metrics.equipment_costs`. +Sum of the costs associated with a simulation's servicing equipment, which excludes +materials, downtime, etc. For further documentation, see the API docs here: +{py:meth}`wombat.core.post_processor.Metrics.equipment_costs`. **Inputs**: -- `frequency`, as explained [above](#common-parameter-explanations), options: "project", "annual", "monthly", and "month-year" +- `frequency`, as explained [above](#common-parameter-explanations), options: "project", + "annual", "monthly", and "month-year" - `by_equipment` - `True`: Aggregates all equipment into a single cost - `False`: Computes for each unit of servicing equipment @@ -237,6 +273,7 @@ Sum of the costs associated with a simulation's servicing equipment, which exclu # Project total at the whole wind farm level style(metrics.equipment_costs(frequency="project", by_equipment=False)) ``` + ```{code-cell} ipython3 :tags: ["output_scroll"] # Project totals at servicing equipment level @@ -245,11 +282,15 @@ style(metrics.equipment_costs(frequency="project", by_equipment=True)) ## Service Equipment Utilization Rate -Ratio of days when the servicing equipment is in use (not delayed for a whole day due to either weather or lack of repairs to be completed) to the number of days it's present in the simulation. For further documentation, see the API docs here: {py:meth}`wombat.core.post_processor.Metrics.service_equipment_utilization`. +Ratio of days when the servicing equipment is in use (not delayed for a whole day due to +either weather or lack of repairs to be completed) to the number of days it's present in +the simulation. For further documentation, see the API docs here: +{py:meth}`wombat.core.post_processor.Metrics.service_equipment_utilization`. **Inputs**: -- `frequency`, as explained [above](#common-parameter-explanations), options: "project" and "annual" +- `frequency`, as explained [above](#common-parameter-explanations), options: "project" + and "annual" **Example Usage**: @@ -261,15 +302,21 @@ style(metrics.service_equipment_utilization(frequency="project")) ## Vessel-Crew Hours at Sea -The number of vessel hours or crew hours at sea for offshore wind power plant simulations. For further documentation, see the API docs here: {py:meth}`wombat.core.post_processor.Metrics.vessel_crew_hours_at_sea`. +The number of vessel hours or crew hours at sea for offshore wind power plant +simulations. For further documentation, see the API docs here: +{py:meth}`wombat.core.post_processor.Metrics.vessel_crew_hours_at_sea`. **Inputs**: -- `frequency`, as explained [above](#common-parameter-explanations), options: "project", "annual", "monthly", and "month-year" +- `frequency`, as explained [above](#common-parameter-explanations), options: "project", + "annual", "monthly", and "month-year" - `by_equipment` - `True`: Aggregates all equipment into a single cost - `False`: Computes for each unit of servicing equipment -- `vessel_crew_assumption`: A dictionary of vessel names (`ServiceEquipment.settings.name`, but also found at `Metrics.service_equipment_names`) and the number of crew onboard at any given time. The application of this assumption transforms the results from vessel hours at sea to crew hours at sea. +- `vessel_crew_assumption`: A dictionary of vessel names + (`ServiceEquipment.settings.name`, but also found at `Metrics.service_equipment_names`) + and the number of crew onboard at any given time. The application of this assumption + transforms the results from vessel hours at sea to crew hours at sea. **Example Usage**: @@ -278,6 +325,7 @@ The number of vessel hours or crew hours at sea for offshore wind power plant si # Project total, not broken out by vessel style(metrics.vessel_crew_hours_at_sea(frequency="project", by_equipment=False)) ``` + ```{code-cell} ipython3 :tags: ["output_scroll"] # Annual project totals, broken out by vessel @@ -286,11 +334,15 @@ style(metrics.vessel_crew_hours_at_sea(frequency="annual", by_equipment=True)) ## Number of Tows -The number of tows performed during the simulation. If tow-to-port was not used in the simulation, a DataFrame with a single value of 0 will be returned. For further documentation, see the API docs here: {py:meth}`wombat.core.post_processor.Metrics.number_of_tows`. +The number of tows performed during the simulation. If tow-to-port was not used in the +simulation, a DataFrame with a single value of 0 will be returned. For further +documentation, see the API docs here: +{py:meth}`wombat.core.post_processor.Metrics.number_of_tows`. **Inputs**: -- `frequency`, as explained [above](#common-parameter-explanations), options: "project", "annual", "monthly", and "month-year" +- `frequency`, as explained [above](#common-parameter-explanations), options: "project", + "annual", "monthly", and "month-year" - `by_tug` - `True`: Computed for each tugboat (towing vessel) - `False`: Aggregates all the tugboats @@ -309,11 +361,14 @@ style(metrics.number_of_tows(frequency="project")) ## Labor Costs -Sum of all labor costs associated with servicing equipment, excluding the labor defined in the fixed costs, which can be broken out by type. For further documentation, see the API docs here: {py:meth}`wombat.core.post_processor.Metrics.labor_costs`. +Sum of all labor costs associated with servicing equipment, excluding the labor defined +in the fixed costs, which can be broken out by type. For further documentation, see the +API docs here: {py:meth}`wombat.core.post_processor.Metrics.labor_costs`. **Inputs**: -- `frequency`, as explained [above](#common-parameter-explanations), options: "project", "annual", "monthly", and "month-year" +- `frequency`, as explained [above](#common-parameter-explanations), options: "project", + "annual", "monthly", and "month-year" - `by_type` - `True`: Computed for each labor type (salary and hourly) - `False`: Aggregates all the labor costs @@ -336,24 +391,33 @@ style(metrics.labor_costs(frequency="project", by_type=True)) ## Equipment and Labor Costs -Sum of all labor and servicing equipment costs, excluding the labor defined in the fixed costs, which can be broken out by each category. For further documentation, see the API docs here: {py:meth}`wombat.core.post_processor.Metrics.equipment_labor_cost_breakdown`. +Sum of all labor and servicing equipment costs, excluding the labor defined in the fixed +costs, which can be broken out by each category. For further documentation, see the API +docs here: {py:meth}`wombat.core.post_processor.Metrics.equipment_labor_cost_breakdown`. **Inputs**: -- `frequency`, as explained [above](#common-parameter-explanations), options: "project", "annual", "monthly", and "month-year" +- `frequency`, as explained [above](#common-parameter-explanations), options: "project", + "annual", "monthly", and "month-year" - `by_category` - `True`: Computed for each unit servicing equipment and labor category - `False`: Aggregated to the sum of all costs `reason` definitions: - - Maintenance: routine maintenance, or events defined as a {py:class}`wombat.core.data_classes.Maintenance` - - Repair: unscheduled maintenance, ranging from inspections to replacements, or events defined as a {py:class}`wombat.core.data_classes.Failure` - - Mobilization: Cost of mobilizing servicing equipment - - Crew Transfer: Costs incurred while crew are transfering between a turbine or substation and the servicing equipment - - Site Travel: Costs incurred while transiting to/from the site and while at the site - - Weather Delay: Any delays caused by unsafe weather conditions - - No Requests: Equipment and labor is active, but there are no repairs or maintenance tasks to be completed - - Not in Shift: Any time outside of the operating hours of the wind farm (or the servicing equipment's specific operating hours) + +- Maintenance: routine maintenance, or events defined as a + {py:class}`wombat.core.data_classes.Maintenance` +- Repair: unscheduled maintenance, ranging from inspections to replacements, or events + defined as a {py:class}`wombat.core.data_classes.Failure` +- Mobilization: Cost of mobilizing servicing equipment +- Crew Transfer: Costs incurred while crew are transferring between a turbine or + substation and the servicing equipment +- Site Travel: Costs incurred while transiting to/from the site and while at the site +- Weather Delay: Any delays caused by unsafe weather conditions +- No Requests: Equipment and labor is active, but there are no repairs or maintenance + tasks to be completed +- Not in Shift: Any time outside the operating hours of the wind farm (or the + servicing equipment's specific operating hours) **Example Usage**: @@ -362,6 +426,7 @@ Sum of all labor and servicing equipment costs, excluding the labor defined in t # Project totals style(metrics.equipment_labor_cost_breakdowns(frequency="project", by_category=False)) ``` + ```{code-cell} ipython3 :tags: ["output_scroll"] # Project totals by each category @@ -370,13 +435,20 @@ style(metrics.equipment_labor_cost_breakdowns(frequency="project", by_category=T ## Emissions -Emissions (tons or other provided units) of all servicing equipment activity, except overnight waiting periods between shifts. For further documentation, see the API docs here: {py:meth}`wombat.core.post_processor.Metrics.emissions`. +Emissions (tons or other provided units) of all servicing equipment activity, except +overnight waiting periods between shifts. For further documentation, see the API docs +here: {py:meth}`wombat.core.post_processor.Metrics.emissions`. **Inputs**: -- `emissions_factors`: Dictionary of servicing equipment names and the emissions per hour of the following activities: `transit`, `maneuvering`, `idle at site`, and `idle at port`, where port is stand-in for wherever the servicing equipment might be based when not at site. -- `maneuvering_factor`: The proportion of transit time that can generally be associated with positioning servicing, by default 10%. -- `port_engine_on_factor`: The proportion of the idling at port time where the engine is running and producing emissions, by default 25%. +- `emissions_factors`: Dictionary of servicing equipment names and the emissions per + hour of the following activities: `transit`, `maneuvering`, `idle at site`, and + `idle at port`, where port is stand-in for wherever the servicing equipment might be + based when not at site. +- `maneuvering_factor`: The proportion of transit time that can generally be associated + with positioning servicing, by default 10%. +- `port_engine_on_factor`: The proportion of the idling at port time when the engine is + running and producing emissions, by default 25%. ```{code-cell} ipython3 # Create the emissions factors, in tons per hour @@ -418,22 +490,29 @@ style(metrics.emissions(emissions_factors=emissions_factors, maneuvering_factor= ## Component Costs -All of the costs associated with maintenance and failure events during the simulation, including delays incurred during the repair process, but excluding costs not directly tied to a repair. For further documentation, see the API docs here: {py:meth}`wombat.core.post_processor.Metrics.component_costs`. +All the costs associated with maintenance and failure events during the simulation, +including delays incurred during the repair process, but excluding costs not directly +tied to a repair. For further documentation, see the API docs here: +{py:meth}`wombat.core.post_processor.Metrics.component_costs`. **Inputs**: -- `frequency`, as explained [above](#common-parameter-explanations), options: "project", "annual", "monthly", and "month-year" +- `frequency`, as explained [above](#common-parameter-explanations), options: "project", + "annual", "monthly", and "month-year" - `by_category` - `True`: Computed across each cost category - `False`: Aggregated to the sum of all categories - `by_action` - - `True`: Computed by each of "repair", "maintenance", and "delay", and is included in the MultiIndex + - `True`: Computed by each of "repair", "maintenance", and "delay", and is included in + the MultiIndex - `False`: Aggregated as the sum of all actions `action` definitions: - - maintenance: routine maintenance - - repair: unscheduled maintenance, ranging from inspections to replacements - - delay: Any delays caused by unsafe weather conditions or not being able to finish a process within a single shift + +- maintenance: routine maintenance +- repair: unscheduled maintenance, ranging from inspections to replacements +- delay: Any delays caused by unsafe weather conditions or not being able to finish a + process within a single shift **Example Usage**: @@ -442,6 +521,7 @@ All of the costs associated with maintenance and failure events during the simul # Project totals by component style(metrics.component_costs(frequency="project", by_category=False, by_action=False)) ``` + ```{code-cell} ipython3 :tags: ["output_scroll"] # Project totals by each category and action type @@ -450,11 +530,14 @@ style(metrics.component_costs(frequency="project", by_category=True, by_action=T ## Fixed Cost Impacts -Computes the total costs of the fixed costs categories. For further documentation, see the defintion docs, here: {py:class}`wombat.core.data_classes.FixedCosts`, or the API docs here: {py:meth}`wombat.core.post_processor.Metrics.fixed_costs`. +Computes the total costs of the fixed costs categories. For further documentation, see +the definition docs, here: {py:class}`wombat.core.data_classes.FixedCosts`, or the API +docs here: {py:meth}`wombat.core.post_processor.Metrics.fixed_costs`. **Inputs**: -- `frequency`, as explained [above](#common-parameter-explanations), options: "project", "annual", "monthly", and "month-year" +- `frequency`, as explained [above](#common-parameter-explanations), options: "project", + "annual", "monthly", and "month-year" - `resolution` (also, demonstrated below) - "high": Computed across the most granular cost levels - "medium": Computed for each general cost category @@ -474,11 +557,13 @@ pprint(metrics.fixed_costs.hierarchy) # this will just be demonstrating the output format style(metrics.project_fixed_costs(frequency="project", resolution="low")) ``` + ```{code-cell} ipython3 :tags: ["output_scroll"] # Project totals at the medium level style(metrics.project_fixed_costs(frequency="project", resolution="medium")) ``` + ```{code-cell} ipython3 :tags: ["output_scroll"] # Project totals at the lowest level @@ -487,13 +572,18 @@ style(metrics.project_fixed_costs(frequency="project", resolution="high")) ## OpEx -Computes the total cost of all operating expenditures for the duration of the simulation, including fixed costs. For further documentation, see the API docs here: {py:meth}`wombat.core.post_processor.Metrics.opex`. +Computes the total cost of all operating expenditures for the duration of the +simulation, including fixed costs. For further documentation, see the API docs here: +{py:meth}`wombat.core.post_processor.Metrics.opex`. + **Inputs**: -- `frequency`, as explained [above](#common-parameter-explanations), options: "project", "annual", "monthly", and "month-year" +- `frequency`, as explained [above](#common-parameter-explanations), options: "project", + "annual", "monthly", and "month-year" - `by_category` - - `True` shows the port fees, fixed costs, labor costs, equipment costs, and materials costs in addition the total OpEx + - `True` shows the port fees, fixed costs, labor costs, equipment costs, and materials + costs in addition the total OpEx - `False` shows only the total OpEx **Example Usage**: @@ -510,7 +600,10 @@ style(metrics.opex("annual", by_category=True)) ## Process Times -Computes the total number of hours spent from repair request submission to completion, performing repairs, and the number of rquest for each repair category. For further documentation, see the API docs here: {py:meth}`wombat.core.post_processor.Metrics.process_times`. +Computes the total number of hours spent from repair request submission to completion, +performing repairs, and the number of request for each repair category. For further +documentation, see the API docs here: +{py:meth}`wombat.core.post_processor.Metrics.process_times`. **Example Usage**: @@ -521,10 +614,13 @@ style(metrics.process_times()) ## Power Production -Computes the total power production for the wind farm. For further documentation, see the API docs here: {py:meth}`wombat.core.post_processor.Metrics.power_production`. +Computes the total power production for the wind farm. For further documentation, see +the API docs here: {py:meth}`wombat.core.post_processor.Metrics.power_production`. + **Inputs**: -- `frequency`, as explained [above](#common-parameter-explanations), options: "project", "annual", "monthly", and "month-year" +- `frequency`, as explained [above](#common-parameter-explanations), options: "project", + "annual", "monthly", and "month-year" - `by`, as explained [above](#common-parameter-explanations) options: "windfarm" and "turbine" - `units` - "kwh": kilowatt-hours (kWh) @@ -538,11 +634,13 @@ Computes the total power production for the wind farm. For further documentation # Project totals, in kWh, at the wind farm level style(metrics.power_production(frequency="project", by="windfarm", units="kwh")) ``` + ```{code-cell} ipython3 :tags: ["output_scroll"] # Project totals, in MWh, at the wind farm level style(metrics.power_production(frequency="project", units="mwh")) ``` + ```{code-cell} ipython3 :tags: ["output_scroll"] # Project totals, in GWh, at the wind farm level @@ -551,17 +649,19 @@ style(metrics.power_production(frequency="project")) ## Net Present Value -Calcualtes the net present value (NPV) for the project, as $NPV = (Power * OfftakePrice - OpEx) / (1 + DiscountRate)$. +Calcualtes the net present value (NPV) for the project, as +$NPV = (Power * OfftakePrice - OpEx) / (1 + DiscountRate)$. For further documentation, see the API docs here: {py:meth}`wombat.core.post_processor.Metrics.npv`. **Inputs**: -- `frequency`, as explained [above](#common-parameter-explanations), options: "project", "annual", "monthly", and "month-year" -- `discount_rate`: The rate of return that could be earned on alternative investments, by default 0.025. +- `frequency`, as explained [above](#common-parameter-explanations), options: "project", + "annual", "monthly", and "month-year" +- `discount_rate`: The rate of return that could be earned on alternative investments, + by default 0.025. - `offtake_price`: Price of energy, per MWh, by default 80. - ```{code-cell} ipython3 :tags: ["output_scroll"] style(metrics.opex("annual")) diff --git a/docs/source/examples/strategy_demonstration.md b/docs/source/examples/strategy_demonstration.md index ae73901a..9cbdd720 100644 --- a/docs/source/examples/strategy_demonstration.md +++ b/docs/source/examples/strategy_demonstration.md @@ -12,8 +12,7 @@ kernelspec: # Servicing Strategies -In this example, we'll demonstrate the essential differences in scheduled servicing, unscheduled servicing, and tow-to-port repair repair strategies. Each of the examples demonstrated below will be based on the 2015 Dinwoodie, et al. paper, though the the variations will be for demonstration purposes only. - +In this example, we'll demonstrate the essential differences in scheduled servicing, unscheduled servicing, and tow-to-port repair strategies. Each of the examples demonstrated below will be based on the 2015 Dinwoodie, et al. paper, though the variations will be for demonstration purposes only. ## WOMBAT Setup and Variables @@ -25,7 +24,6 @@ When running tow-to-port a `Port` configuration is also required, which will con of salt given the reduction of HLV and FSV operational and mobilization costs. ``` - Scenario descriptions: - **Scheduled**: exactly the same as the base case (fsv_scheduled.yaml and hlv_scheduled.yaml) - **Unscheduled: requests**: the FSV and HLV are called to site when 10 requests that @@ -40,7 +38,7 @@ Scenario descriptions: In this example, we will demonstrate how the results for the base case for the Dinwoodie, et al. example vary based on how each of the vessels are scheduled. The configuration details all remain the same, regardless of details, except for the strategy information, which is defined as follows: -This example is set up similarly to that of the validation cases to show how the results differ, and not a step-by-step guide for setting up the analyses. We refer the reader to the exensive [documentation](../API/index.md) and [How To example](how_to.md) for more information. +This example is set up similarly to that of the validation cases to show how the results differ, and not a step-by-step guide for setting up the analyses. We refer the reader to the extensive [documentation](../API/index.md) and [How To example](how_to.md) for more information. ## Imports and notebook configuration @@ -62,7 +60,7 @@ pd.options.display.float_format = '{:,.2f}'.format Here we're providing the names of the configuration files (found at: dinwoodie / config) without their .yaml extensions (added in later) and the results that we want to compare -between simulations to understand some of the timing and cost trade offs between +between simulations to understand some of the timing and cost trade-offs between simulations. The dictionary of keys and lists will be used to create the results data frame where the diff --git a/docs/source/index.rst b/docs/source/index.rst index 237a7cc9..e7ab7b24 100644 --- a/docs/source/index.rst +++ b/docs/source/index.rst @@ -32,14 +32,14 @@ Overview -------- The WOMBAT framework is designed to provide an open source tool adhering to FLOSS principles -for the windfarm lifecycle research community. Specifically, WOMBAT is meant to serve as +for the wind farm lifecycle research community. Specifically, WOMBAT is meant to serve as a what-if, or scenario-based, simulation tool, so that you can model the trade-offs in -decision making for the operations and maintenance phase of a windfarm. +decision-making for the operations and maintenance phase of a wind farm. As a supplement to this documentation site, there is also an NREL Technical Report that goes through much of the design and implementation details available at: https://www.osti.gov/biblio/1894867. If you use this software, please cite it using the -follwing BibTex information, or in commonly used citation formats +following BibTeX information, or in commonly used citation formats `here `_. .. code-block:: bibtex @@ -63,7 +63,7 @@ Latest Changes? As of v0.8, a series of bug fixes in the cable, subassembly, repair management, and servicing equipment models that ensure repairs can't happen twice under limited -circumstances or that more than one repair can occur simutaneously. New features include +circumstances or that more than one repair can occur simultaneously. New features include an emissions metric and random seeding of simulations, with significant simulation speedups across the board due to using Polars for managing the weather and datetime functionality. @@ -77,7 +77,7 @@ Please see the CHANGELOG for details! The Model in 30 Seconds Or Less ------------------------------- -In general, the model has 2 overarching branches: the windfarm itself (the technology +In general, the model has 2 overarching branches: the wind farm itself (the technology strategy), and the simulation environment (the maintenance strategy). For the wind farm model we can control the varying assets (system in the code)--substations, turbines, and cables--as well as the components that comprise each asset (subassemblies in the code). @@ -92,16 +92,16 @@ below provides a more visual representation of this description. High Level Architecture ^^^^^^^^^^^^^^^^^^^^^^^ -The code is largely broken up into two categories: the windfarm and objects contained -within it, and the simulation and simulation evironment components. The windfarm is +The code is largely broken up into two categories: the wind farm and objects contained +within it, and the simulation and simulation environment components. The wind farm is composed of systems: substation(s), cables, and turbines, and each of those systems is composed of subassemblies (a conglomerate of components). For the simulation environment, -we consider all of the pieces that allow the simulation to happen such as the API, +we consider all the pieces that allow the simulation to happen such as the API, servicing equipment, repair manager to hold and pass on tasks, and results post-processing. .. image:: images/high_level_diagram.svg -The following section describes how a windfarm is simulated and the flow of events as +The following section describes how a wind farm is simulated and the flow of events as they occur within the model. Simulation Architecture @@ -111,8 +111,8 @@ In the diagram below, we demonstrate the lifecycle of the simulation through the lifecycle of a single failure. 1) The maximum length of the simulation is defined by the amount of wind and wave - timeseries data is provided for the simulation. -2) Each subassemly failure model is a random sampling from a Weibull distribution, so + time series data is provided for the simulation. +2) Each subassembly failure model is a random sampling from a Weibull distribution, so for the sake of clarity we'll consider this to be a catastrophic drivetrain failure. When the timeout (time to failure) is reached in the simulation, the subassembly's operating level is reduced to 0%, and a message is passed to the turbine level (the overarching system @@ -130,7 +130,7 @@ lifecycle of a single failure. 6) When the servicing is complete, the subassembly will be placed back to good-as-new condition and the turbine will be reset to operating. From there all the turbine's and drivetrain's failure and maintenance models be turned back on, and the simulation - will continue on in the same manner until it reaches it's user- or weather-defined + will continue on in the same manner until it reaches its user- or weather-defined ending point. .. image:: images/simulation_diagram.png diff --git a/docs/source/install.md b/docs/source/install.md index b0d689e1..b4a13f46 100644 --- a/docs/source/install.md +++ b/docs/source/install.md @@ -1,13 +1,11 @@ # Installation - -## Create a conda environoment +## Create a conda environment Download the latest version of [Miniconda]() for the appropriate OS. Follow the remaining [steps]() for the appropriate OS version. - Using conda, create a new virtual environment, replacing `` with a name of your choosing (without spaces): ```text @@ -24,14 +22,13 @@ You can now use ``conda activate `` to enter the environment a The folowing all asssume you are in your `wombat` environment! ``` - ### Pip WOMBAT is listed on PyPI under `wombat`, and can be installed for users that don't intend to modify the code, by running the following: -```text -$ pip install wombat +```bash +pip install wombat ``` ### From Source @@ -45,26 +42,25 @@ data libraries using the following, so if issues arise, uninstall wombat, and re using the `pip install -e '.[dev]'` prompt in the next section ``` -```text -$ git clone https://github.com/WISDEM/WOMBAT.git -$ cd wombat -$ pip install wombat/ +```bash +git clone https://github.com/WISDEM/WOMBAT.git +cd wombat +pip install wombat/ ``` - -### For contributors: +### For contributors Anyone seeking to work modify the code and contribute to the repository should follow the below prompt. This repository relies on automatic code formatting and linting -provided through the pre-commit framework, and any contributors should having this +provided through the pre-commit framework, and any contributors should have this functionality run and pass before submitting pull requests. -```text -$ git clone https://github.com/WISDEM/WOMBAT.git -$ cd wombat -$ pip install -e '.[dev]' # some users may need double quotes here, not single quotes +```bash +git clone https://github.com/WISDEM/WOMBAT.git +cd wombat +pip install -e '.[dev]' # some users may need double quotes here, not single quotes # Required for automatic code formatting! -$ pre-commit install +pre-commit install ``` #### Running the tests @@ -73,30 +69,29 @@ In addition, pytest is used to manage the testing framework, and can be run usin following to ensure that contributions don't break the existing tests. This will produce the results of the tests, including code coverage results, if the tests pass. -```text +```bash # From the top level of the repository -$ pytest tests/ +pytest tests/ ``` - -### For documentation: +### For documentation Additionally, for users that wish to modify the documentation or build the documentation site locally, the following prompt with will install the required documentation building packages. -```text -$ git clone https://github.com/WISDEM/WOMBAT.git -$ cd wombat -$ pip install -e '.[docs]' +```bash +git clone https://github.com/WISDEM/WOMBAT.git +cd wombat +pip install -e '.[docs]' ``` #### Build the documentation site -```text -$ cd docs/ -$ sphinx-build -b html source _build -$ make html +```bash +cd docs/ +sphinx-build -b html source _build +make html ``` Now, the documentation site should be able to be viewed locally at diff --git a/docs/source/presentations.md b/docs/source/presentations.md index 13a6178c..3e640af4 100644 --- a/docs/source/presentations.md +++ b/docs/source/presentations.md @@ -23,10 +23,9 @@ Hammond, Rob, & Cooperman, Aubryn. Windfarm Operations and Maintenance cost-Bene This document is the actual presentation given in associating with the conference workshop. Please also see the [workshop's homepage](/workshops/nawea_wind_tech_2023). - -Link coming soon! - +
+{download}`presentation PDF <../../presentation_material/nawea_2023_wombat_tutorial_87913.pdf>` +| [NREL Publications](https://www.nrel.gov/docs/fy24osti/87913.pdf) ## FY20 DOE Presentation diff --git a/docs/source/workshops/index.md b/docs/source/workshops/index.md index 061b4a33..ebcb9a62 100644 --- a/docs/source/workshops/index.md +++ b/docs/source/workshops/index.md @@ -7,4 +7,4 @@ This is the homepage for all workshops relating to WOMBAT. For now, there is jus :caption: Workshops nawea_wind_tech_2023 -``` \ No newline at end of file +``` diff --git a/docs/source/workshops/nawea_wind_tech_2023.md b/docs/source/workshops/nawea_wind_tech_2023.md index 5da643ee..c11ebbbe 100644 --- a/docs/source/workshops/nawea_wind_tech_2023.md +++ b/docs/source/workshops/nawea_wind_tech_2023.md @@ -6,11 +6,11 @@ - [COREWIND Floating Wind O&M Strategies Assessment](https://corewind.eu/wp-content/uploads/files/publications/COREWIND-D4.2-Floating-Wind-O-and-M-Strategies-Assessment.pdf) - Code editor (VSCode is what I use and therefore recommend) - Working python environment (Miniconda is my preference because it's lightweight) - - Anaconda: https://docs.anaconda.com/free/anaconda/install - - Miniconda: https://docs.conda.io/projects/miniconda/en/latest/miniconda-install.html + - [Anaconda](https://docs.anaconda.com/free/anaconda/install) + - [Miniconda](https://docs.conda.io/projects/miniconda/en/latest/miniconda-install.html) - Basic git proficiency (we just need to clone a project and change branches) - Basic terminal proficiency (or Windows alternative) -- Basic Python proficiency (WOMBAT doesn't requires very little code, but you still need to use Python) +- Basic Python proficiency (WOMBAT requires very little code, but you still need to use Python) ## Slides and Data @@ -19,8 +19,7 @@ content are all included in the slides with links to the appropriate documentati and the relevant screenshots so that participants can track down the required data in the COREWIND publications more easily. - -- Presentation coming soon! +- The slides can be found [here](https://www.nrel.gov/docs/fy24osti/87913.pdf) - The accompanying example notebook is [here](https://github.com/WISDEM/WOMBAT/blob/main/examples/NAWEA_interactive_walkthrough.ipynb). - Example dataset for the Morro Bay, California, USA 9D layout with connected @@ -28,22 +27,22 @@ the COREWIND publications more easily. ## Pre-Workshop Setup -1. Create a new Python environment (conda instructtions) +1. Create a new Python environment (conda instructions) - ``` + ```bash conda create -n wombat_workshop python=3.10 conda config --set pip_interop_enabled true ``` 2. Download WOMBAT from GitHub - ``` - git clone git clone https://github.com/WISDEM/WOMBAT.git + ```bash + git clone https://github.com/WISDEM/WOMBAT.git ``` 3. Install WOMBAT as an editable package - ``` + ```bash conda activate wombat_workshop # or what you called in the first step cd wombat/ pip install -e . @@ -51,7 +50,7 @@ the COREWIND publications more easily. 4. Ensure that it all worked (assuming no error messages at any of the prior stages) - ``` + ```bash python >>> import wombat diff --git a/examples/NAWEA_interactive_walkthrough.ipynb b/examples/NAWEA_interactive_walkthrough.ipynb index ce92dfc8..dc5189e9 100644 --- a/examples/NAWEA_interactive_walkthrough.ipynb +++ b/examples/NAWEA_interactive_walkthrough.ipynb @@ -7,7 +7,7 @@ "source": [ "# NAWEA WOMBAT Interactive Example\n", "\n", - "NOTE: This workshop is based on the v0.9 release of WOMBAT, and as of October 26th, this is the current version in the develop branch.\n", + "NOTE: This workshop is based on the v0.9.2 release of WOMBAT.\n", "\n", "First, import the necessary packages and make adjust some of the Pandas display settings." ] @@ -72,7 +72,7 @@ "outputs": [ { "data": { - "image/png": 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4dhC2BWCFsG0pU7VqVTVu3Fi//PKLc+z06dN69913Dfu5h3IjIyOdAaTjx49bLv1cUiG/fHfccYfpw73169fr8OHDatCgQYnet5W2bdvKZrMZPrROTExUamqqKby3b98+0/ERERFFvk+bzaaWLVsawrbSxeCfq3btzF1g85ducFeU2rIPf6cLK6N1Z/0A3VnfHKL98ldzl9wOtQItz1UUjgtZSn4nSlVGvVPqO9xGRkaagh/btm0zhW1btmzpDK24X1uxsbGKiIi4qh01PXXNtAqFXi1WHWE9hVA9jXsKC4eFhTk7ImZnZyshIUFbt241hI6PHDmiAQMGKCEhQdHR0cVam3tddrtdAwcO1EcffWQYv6l6sNqG5smeJ+06kamEtIuBs4wLDr3+fap+Sc7ROw/UlG8RAreS5MhM05kVE5S553NV6hsj3+Dqlz6oFLjUMva//vqrYWJC586d1aRJE1WpUsUZMHK9TuPj43XmzBnD+Vyv3eK2a9cu01j37t1L5L4Kw73DvSRT59h81apVM40dOXJEeXl5lhNPtm/fXqhJPP369dOkSZOKvTar4z355ptvTGHHOlWC1OHHF3Xyf+OtD3LhG1xD/nVvVrkOfVS2aRfZfK7PP7YbNmyoatWqGSb5HDp0SElJSYb/B+6B2o4dOzqDsfv27dOZM2dUqVIl5+1X87kwMTFR8+bNM423adNGX3/9dYEdpps3b66YmBhNmjRJx48fL7aali5dahqbOnWqYfWE7t27q3fv3oaQcFpamlauXGkKMA4aNMjjfQUGBmry5MmmsK1kfi5LT0/XqlWrDGO+vr6aPXu2Idw5efJkvfzyy4bH0s2bN+vIkSOGFTPOnDmjt99+23C+sLAwffnllwoNtQ6sN2vWzDLofyMKCQlR8+bN9fPPPzvHUlNTFR8fbzlhw+q6Sk5O1oEDBywnLljtP2nSJEVFRV1h5QV77733NGPGDB08eNDy9tTUVKWmpurgwYPasGGDZs6cqdDQUC1ZskR9+/Yt1lri4uI0cOBAw+9YkrKyspy/61deeUUjRozQ4sWL5e/vb3mewYMHa8+ePZa3paWlKS0tTYcOHdK6des0efJkzZs3T6NHjy6wtpUrVyoqKsrUATspKUlJSUnauXOn5s6dqzlz5lhOYAEAAAAAAACs/PLLL1q8eLGki+8fv/DCC16uCLi2ELYFYKXwbTlxzbAKILiGZ8PCwgwfbkvmgJJV2Lakgg35hg8fbgqw2e12DR48WFlZWSV631aCgoJMHQ8laePGjYUau/vuuw3brk+0BYmPjzeNBQYaA6233Xab6Xe1d+9eU3fbnJwc0/K9NpvNsES6s76zp3R6aZQcF6x/15/9kq6fkoyd6NrXLKubKlt/kFxUjgtZOv32aNnPWnfoLS2srpNt27YpLS3NEKJ2vebat2+vgIAAw/5JSUmmMJjVtVtcKlSoYPp3Jl0My1kZPXq0nnzyST355JOqVatWidRkFWpy76BX0LjNZjOEkVzVrVtXCxcu1MKFC7VkyRJ9+umnOnHihOWS5BMmTDB12rvS2tyPX7x4sSloO6htFW0aUFULetXQS71raMvQurrzJmOHws1Hz2vlz2mW91sYWfu26NTce5R95PvLPse1pF27doZrSTJ20XQP+eVfr67X7c6dO52P11cz5JeRkWHZMdmq+6QkValSRTabzePXli1brrgmq+Xk3btk5rMKoDscDqWlXd6/zwYNGujLL7/UihUrVLZs2WKvzep4T6y62g5u7i9HeuGer+xnTykz7nMlvz1Kp2b1UNqm12Q/Z+4Ufz3w9BzoaTs4OFgjR450bjscDkP3aavjPd1PcVi6dKnpMdtms2n58uUFBm1dBQYGeuyyXFRpaWmWP79Vd12rsXXr1hX5Po8ePWoaCw0NVeXKlQ1jW7ZsMT1mtW7d2hR69/f3V5cuXQxjDofD1D343//+t+l8Tz/9tMegLcwuNeHElVUX6YLGrc6Tk5NThOqKJiMjQwMGDNCQIUM8Bm09SU5ONgVir9TevXvVrVu3S57X4XDozTffVN++fQ2rylyujIwMRUVFacWKFR73Wb58ufr3728K2lqd67HHHrOcUAAAAAAAAABYiY6Odq48N378+EuunATcaAjbArBC2LYUsvqg1XX5XatOcu6hBfflesuWLXtZnVqLonr16ho7dqxpfNu2beratWuRl3wuDsOGDTONTZ8+3RAe+uqrr7RhwwbDPkFBQXr44YcNY0OHDtVTTz3l8ec4d+6coqOjFRcXZ7rNvSNVxYoVTee32+2aMGGCoRPvzJkzDZ06Jen22283BTZzcnIUPfAuHT1pvXTsJ/vT9fQX5lDR6PaVLPa+fI7Mszqzcopp2fLSxCoAFBsbq+3btxs+dHfdLyAgwHB9xcbGWoYaCtMF8kpYLfuxefNmy31nzJjhDKt6CgNeKavzugfK87l2UsxXv359y46angQGBmrBggVq2bKlYdxut2v16tXFWpv78e6dC22SJncOMnSsDfDz0bhIc+ho3S9X1n3YkXlWp18fpqwDpX8pbn9/f7Vv394wlpOTo++++06SMUTk6+urjh07SjI+b2ZkZDg7zlmFjkqqy7v7Y3U+T92Zrwar8K+fn/WiB56W7L7c7tiHDx/WqFGjPAaMrrS2wtZ1/PhxfbxmjWGsXBmb+re0DvJfiv3M70pbP1+nZt+hjF3/KdXPd1asrg/368g1TNupUyfTxCbX/R0Oh7Zv32643dfXV506dSqOck2++OIL09idd95p2Rn0avjhhx9M/0Zq1KhhGfy16vBa2NfOubm5+u233/TOO+/ob3/7m+l2q06Yu3fvNo15ChkXprb//e9/pn1uu+02LViwQH/6058UHBysgIAA1a5dW3379nWGde3pycrc97XSN7+ts1+8pLPrX9TZL15S+ua3lbnva9nTCw4gXk8KE3aXLnb0t/r/J1k/750/f97U3TsoKEi9evVyTrxy/8p/fnVVq1Ytj/s3b97cuZ/dble/fv08Pv7Xrl1bDz/8sKKiojRs2DD17t1bNWrUsNy3OOTm5urRRx81hVnDw8M1YsQI9enTx9TFdu3atc6OH56Eh4frrrvu0siRIxUVFaUHHnjAY6g/JibGcvzYsWMaNWqUKdgbERGhUaNGmYLu0sVJZIV9bOjZs6fH/2f5X/Xq1SvUua53qamp8vHxMUx8qlSpksfn+TVr1pgmSlWpUsXj+VeuXGnav06dOgVOvCrKl/tKSK7y8vK0YcMGRUdHq3PnzqpTp44qVKigMmXKqFKlSmrcuLF69+6tZ599Vv/97389rvZRHHJzc/Xee+/p/vvvV7169RQYGKhKlSqpRYsW+sc//mG5SoS7uLg4vfrqqxo2bJg6dOig+vXrKzg4WH5+fgoODlajRo107733atGiRfrjjz8KXVtKSormzp2rLl26qGbNmgoICFD16tXVsWNHPf/880pISLjsn/v+++8v8v83AAAAAACu1MaNG/Xpp59KkmrWrKlx48Z5uSLg2kPYFoAV69QCrmmXCgJZfRBbrVo1NWrUyGPnoPbt23tcCrM4TZs2TTt37tSXX35pGN+xY4ciIiLUokULtW3bVsHBwUpLS1NcXJzHZTiLw6OPPqqXXnrJ8AHzTz/9pBYtWqhXr15KSUnRunXrTB+ixcTEmAJS6enpev/997Vo0SLVrFlTERERCgsLk8Ph0IkTJ7R161bLDoDBwcF68MEHTePTp0/X6tWrDR3Y3n33XcXFxalDhw7at2+fqautr6+v5s6dazpX+s7/aOH6H7VQUuNQfzWr4q+Qsr5Kz8nT9yeydOys+QOzB5pW1J0Niz8ElrVvi85//7HKt+9T7Oe+GqpWrarGjRvrl19+cY6dPn3a9EGY+3UYGRnpDCAdP37csrt0SYX88t1xxx36+uuvDWPr16/X4cOH1aBBgxK9bytt27aVzWYzXF+JiYlKTU1VSEiIYd99+/aZjr+cCQI2m00tW7Y0dCGWLgb/XLVr18507P79+y3PWZjaDhw4YNiuHOirigHmF+R1gs2hwd/SrvwDbceFLCW/E6Uqo95RQH3zz1aaREZGWnbSjIyMNISIWrZsqYoVKzqPcRUbG6uIiIir2lHTU8DmcsOqxcGqI6ynAIWncU9h4bCwMGcn6ezsbCUkJGjr1q2G0PGRI0c0YMAAJSQkKDo6ulhrK0yI2X72lF4cfZ9y3TrTP9Q8SMFlr+wPZkdmms6smKDMPZ+rUt8Y+QZXv/RBpcClOmv++uuvhokJnTt3VpMmTVSlShWdPn1xwo/rdRofH68zZ84Yzud67RY3q5BO9+7dS+S+CsO9w70kU+fYfNWqVTONHTlyRHl5eZYTT7Zv316oSTz9+vXTpEmTir029+Otwn8PPvigfvvtN8NYQkKCVq1apVWrVqlH48p6qWeI5fOlK9/gGvKve7PKdeijsk27yOZzfb7hVZiwu2Ts+F6Y/Xfu3GmaiNmpUyc1btxYCxcutDzPtGnTtGPHDsNYw4YNPe7vKiYmxtT5WJKaNm2ql19+2bKLs3Tx8eLDDz/UG2+8ccn7KIply5aZwsatWrXS1q1bnSsobNq0ST179jS8Zp0yZYqGDx9u6ro+btw4dezY0XLiVmZmpgYOHKiPP/7YMB4fH6/09HTTY99zzz1n6sY9dOhQLV26VDbbxQlbU6dO1fTp05232+12RUdHa9OmTZf82QcOHKihQ4decj9IISEhat68uaH7cWpqquLj4y0nbFi9xkxOTtaBAwcsJy5Y7T9p0iRFRUVdYeUFe++99zRjxgyP7xOlpqYqNTVVBw8e1IYNGzRz5kyFhoZqyZIl6tu3b7HWEhcXp4EDB5o6TGdlZTl/16+88opGjBihxYsXe3z/avDgwR7fQ0pLS1NaWpoOHTqkdevWafLkyZo3b55Gjx5dYG0rV65UVFSUKZSflJSkpKQk7dy5U3PnztWcOXMsJ7AU5KOPPtLatWuLdAwAAAAAAFfKbrcbmqTNnj3b4+qCwI2MsC0AK3S2LYWaNm1qWurVlaegUEFBvpIKF7nz9fXVqlWr9MADD1je/vPPP+v999/XK6+8omXLlpVo0Fa62CVv2bJlpiVsExIS9NZbb+k///mPaQnV++67T48//niB5z1x4oTWrVunN998U2+99ZbWr19vGbT19fXVG2+8Yfn/s27dunr99ddNAYrdu3fr9ddfNwVtpYsvhN1DfvZzKUr99J/O7V+Sc/TJgXP6156z+s++dMug7a11AjW7hzk4UVxSP55ZqpfYtrpeXMOzYWFhpu7C7tefVdi2pK/D4cOHmwJsdrtdgwcPVlZWVonet5WgoCBTx0Pp4kzKwozdfffdhm27W2DOk/j4eNNYYGCgYfu2224z/a727t1r6m6bk5NjuhZtNpt69+5tGHPvvJmSade5HPPyw8ctrseyfjbT2OVwXMjS6bdHy37WukNvaeGps19aWpohRO16zbVv314BAQGG/ZOSkkxhMKtrt7hUqFDB9O9MuhiWszJ69GhnV7latWqVSE1WAWD3UE9B4zabzRlEcle3bl1nd+wlS5bo008/1YkTJ5wBXFcTJkzQr7/+Wqy1eQo358s+8r2OvnC33t9iDN7bJP21bUiBxxZF1r4tOjX3HmUf+b7YzulN7dq1M1xLkjHY5x7ky79eXa/bnTt3Oh+vr2bgPSMjw7Jjsqfu7VWqVCmwS+CWLVuuuKazZ8+axjy9oWkVQHc4HJavLwujQYMG+vLLL7VixQqVLVu22GtzP96qe6B70Nbdxl9S9LdPT8qeV3CHaPvZU8qM+1zJb4/SqVk9lLbptVL9OtOThg0bmoLNhw4dMnXYd78OXbvQ7tu3zxRwv5rXYWJioubNm2cab9OmjbZv3+4xaCtJzZs3V0xMjI4ePaoBAwYUW03uqw9IFwOsrs9v3bt3N722S0tLs3w9P2jQII+PK4GBgZo8ebLlbe4TR9LT07Vq1SrDmK+vr2bPnu0M2krS5MmTVamScTWSzZs3e3x9gct3qQknrqyC7QWNW53H/X2I4pSRkaEBAwZoyJAhHoO2niQnJ5sCsVdq79696tat2yXP63A49Oabb6pv376mjs+XIyMjQ1FRUR47bUvS8uXL1b9/f1PQ1upcjz32mOVjnCdnzpzRE088Uej9AQAAAAAoLm+//bZ++uknSRc/Qxs0aJCXKwKuTYRtAVghbFsK2Ww2j52qAgICLDsyStdG2FaSKlasqDVr1ujVV19VeHh4kY6tVauWJk+erDZt2hRbPS1bttRXX31lWN7Uis1m04gRI7Ry5coiLV3vSaNGjbR+/Xo98sgjHvcZNGiQPvzwwwLD1dLF8MPixYtNnQElKWPHR3JkpReqJn9fm0a2C9G/+tRSef+Se3hwZKYpY4f5w+nSwupacu0IZnV9ul9j7h3EypYte1mdWouievXqhlmK+bZt26auXbsWesnZ4jRs2DDT2PTp0w3hoa+++kobNmww7BMUFKSHH37YMDZ06FA99dRTHn+Oc+fOKTo6WnFxcabb3DtSVaxY0XR+u92uCRMmGLqazZw509CpU5Juv/12U2DTPXThkDTrf6cNAaLs3DzN2Wb+ELd+SPF1HXdkntWZlVNK9dL2Vs9XsbGx2r59u+FDd9f9AgICDNdXbGysZaihMF0gr8Qtt9xiGtu8ebPlvjNmzHCGVT2Fdq6U1XndA+X53MNcklS/fv0iPR8GBgZqwYIFatmypWHcbrdr9erVxVpbQb+zrAPbdPr1YVrzQ4JSMo0h/T/XLaeGlYu3078j86xOvz5MWQesAzmlib+/v9q3b28Yy8nJ0XfffSfJGCLy9fV1hvxcnzczMjKck6msQkcl1eXd/bE6X2G6IJcUq/Cvn5/1wiPukzbyXW537MOHD2vUqFEeA0ZXWpt7XZ5+/zabTT063az+bULVtIr52tt6PFMrfy58oNh+5nelrZ+vU7PvUMau/5Tq5zsrniaceNoODg7WyJEjndsOh8O50oKn4z3dT3FYunSpaYKEzWbT8uXLLzlJIl9gYKBlZ9DLkZaWZvnzW4V+rcbWrVtX5Ps8evSoaSw0NNT0996WLVtM12Hr1q1NHab9/f3VpUsXw5jD4bDsHuzup59+0qJFizRhwgQ9++yzWrRokbZu3VqiIc/SrDDXn3Sxo//u3bstz2H1vHf+/HlTd+WgoCD16tXLOfHK/cs1RJ+vVq1aHvd3fa/DbrerX79+Hh//a9eurYcfflhRUVEaNmyYevfurRo1aljuWxxyc3P16KOPmsKs4eHhGjFihPr06WPqYrt27VotXry4wPOGh4frrrvu0siRIxUVFaUHHnjA4+NMTEyM5fg4+DsSAAEAAElEQVSxY8c0atQoU7A3IiJCo0aNMl170sVJZIX9uzo6Otrj61sAAAAAAErK2bNn9eyzzzq3Fy5cWCzZB+B6RNgWgBXrT0xxzYuMjLT8AK1du3Yel9O7VsK2+aKiojRixAitXbtWmzZt0rfffqtTp04pJSVFNptNFStWVFhYmJo0aaK2bduqZ8+eateuXYm82GvdurX27Nmj5cuXa/Xq1frxxx+VlJSksmXLqmbNmrr99ts1dOhQdejQweM53nnnHW3cuFFbt27Vnj17dOTIEf3xxx/Kzs5W2bJlFRQUpJtuuklt2rTRPffco549e3oMLbh65JFH1L17d7399tv69NNPdfDgQaWkpCg4OFj16tVT7969NXLkSMvgsiPProxvVyjA16YPHqql2N/Oa9fvWTp1LlcpmXZl2x2qVNZHdULK6La65dWnWUXLZexLQsa3K1Tx9hGlcqnfSwWBrK6natWqqVGjRh47B7Vv397jtVucpk2bpp07d+rLL780jO/YsUMRERFq0aKF2rZtq+DgYKWlpSkuLq5EO0w/+uijeumllwwfMP/0009q0aKFevXqpZSUFK1bt84UlomJiTEFpNLT0/X+++9r0aJFqlmzpiIiIhQWFiaHw6ETJ05o69atlh0Ag4OD9eCDD5rGp0+frtWrVxtCIe+++67i4uLUoUMH7du3z9TV1tfXV3PnzjWd656OTU0foi/bc1axx8+rbVhZ5Tmknb9nKiEt13Ts3Y2LNwiWtW+Lzn//scq371Os571aqlatqsaNG+uXX35xjp0+fVrvvvuuYT/36zAyMtIZMDp+/LhlN7qSCvnlu+OOO/T1118bxtavX6/Dhw+rQYMGJXrfVtq2bSubzWa4vhITE5WamqqQkBDDvvv27TMdfzkTBGw2m1q2bGnoQixdDP65spo4tH//fstzFqW27MPfKfmdKDkuZOndH8ydO4cXY1dbV44LWUp+J0pVRr2jgPrWk6JKi8jISMtwX2RkpCFE1LJlS+eS6O7XVmxsrCIiIq5qyM9TwOZyw6rFwaojrHt3y0uNewoLh4WFOTtJZ2dnKyEhQVu3bjWEXo8cOaIBAwYoISHBNGHrSmtzr8vf39800UiS3vxbN91Z/rikyspzVNKYzxP1n33GSWLLfzqr/q0KF8TM58hM05kVE5S553NV6hsj3+Dqlz6oFIiMjNTHH39sGIuNjVWfPv/3nO4apu3UqZNpFYHY2Fhnl1aHw6Ht27cbbvf19VWnTp2KufKLvvjiC9PYnXfeaZr0dLX88MMPpteYNWrUsHy8aNasmeXxhZGbm6uTJ09q48aNevrpp023Wy07bxXW9BQybtasmT755JMi1zZ//nzL8Ro1aig6OlpjxoyRI+OMchL2KvfUIeXlZEj2C5JvGfn4l5dfjYbyD28p34qhlue53li9TrQKz7p2fC/M/jt37jQ9Pnbq1EmNGzfWwoULLc8zbdo07dixwzDWsGFDj/u7iomJsXwvqWnTpnr55Zc9dpiOj4/Xhx9+qDfeeOOS91EUy5YtM/2d1KpVK23dutXZYXrTpk3q2bOn4XqdMmWKhg8fbuq6Pm7cOHXs2NFy4lVmZqYGDhxoehyNj49Xenq683VLvueee840QWDo0KFaunSps8P01KlTNX36dOftdrtd0dHR2rRpU4E/9+bNmw2dtUNDQy/ZPfdGlpqaqsqVKxv+DYSEhDjfP3S3Zs0a09/4oaGhOn36tOX5V65caZoIX7t27Ut24S+sd955R0OHDrW8LS8vT1988YU2bdqk2NhYJSQkKCUlRdnZ2apQoYKqVq2qhg0bKiIiQrfddpu6du3qcRLWlcrNzdUHH3yg1atXa8+ePUpMTHS+L9qtWzcNHjy4wPdFJSkuLk5bt27Vrl27tHfvXp0+fVopKSnKyMhQ+fLlVa1aNTVt2lQ9evTQwIEDVbVq1ULVlpKS4nxf9NChQ0pOTlZISIjzfdHhw4cX2NAhLy9PX3/9tXbu3KmdO3fq0KFDSklJUXJysnJzc1WhQgXVrl1bLVu2VO/evfXwww+bVvQAAAAArhezZs1yrkT2yCOPlPhnY0BpRtgWgBXCtqXUxIkTNXHixCId06xZs2Lp7jRt2jRNmzbtis8jXeyE9dBDD+mhhx4qlvNdCT8/Pw0ZMkRDhgy5rOMrVaqkvn37qm/fvsVc2cUPBcaPH6/x48cX6bis/d/IfuaEbDab/ly3nP5c1xyc8Bb7md+Vtf8bBTa/vdDHnDx5UitWrFCjRo10zz33lGB1BWvatKkqV66slBTrJYo9BYUiIyM9hm2vVuDd19dXq1at0uDBg00fMkrSzz//XOzLghbEz89Py5YtU9euXQ0fLiYkJOitt96yPOa+++7T448/XuB5T5w4oRMnTlzy/n19ffXGG29Ydo+uW7euXn/9dQ0ePNjQzWj37t0eu1XNnj3bFPKzn0vRoxX36f2QMjqaagwk/Xrmgn49Yx1ekqTOtQN1TzGHbSUp9eOZKtv0NvlWKLhr9rWqc+fOhrCtJEN4NiwszNRdODIy0rCsq1XYtqSvw+HDh2vmzJmGTnV2u12DBw/Wxo0bLZdyL0lBQUG69dZb9b///c8wvnHjRlNn540bN5qOv/vuuw3bdru9UH9oxsfHm8YCAwMN27fddpvKlStn+F3t3btXiYmJhq5+OTk5ptC7zWYzLfctXVxq/vTSi0HbHQmZ+vkPYxCmQaUyur1+yT1POi5k6fTbo1Vj3LpSHfzz1NkvLS3NEKJ2fYOuffv2CggIcIaPtm3bpkceeUSHDh0ynMfq2i0uFSpUUGBgoDIzMw3jnpZaHz16tDOIu2rVKv3+++/FXpNVoM891FPQuM1mMyx176pu3bqm0FVmZqYmTpyoRYsWGcYnTJigPn366Kabbiq22tyPDwoKMnXpbFyl7P8P2l7kY7NpzJ8qm8K2cYnZyrE75O9rDtNcSta+LTo19x5VGf5aqQ+6S5dexv7XX381dEns3LmzmjRpoipVqjgDRq5hv/j4eJ05c8ZwPtegfHHbtWuXaax79+4lcl+F4f4YJMnUOTZftWrVTGNHjhxRXl6e5WTQ7du3F6pjfr9+/TRp0qRir83q+MI6deqUoqOj9dlrM/XW3aGXvPZ8g2vIv+7NKtehj8o27VIqJ1MWRsOGDVWtWjVDR/1Dhw4pKSnJ8P/APVDbsWNHZzB23759OnPmjCpVquS8/WpOPElMTDS8Hs7Xpk0bff311wV2mG7evLliYmI0adIkHT9+3ON+ReUaOM03depUw/Nb9+7d1bt3b0NIOC0tTStXrjQFGAta9jIwMFCTJ0+2/DvYfeJIenq6Vq1aZRjz9fXV7NmzDeHOyZMn6+WXXzY8lm7evFlHjhzx+JomMzNTf/vb35zbzZo10/3336/Zs2d7rP1GFxISoubNmxveq0hNTVV8fLzlhA2r6yo5OVkHDhywnLhgtf+kSZMUFRV1hZUX7L333tOMGTM8vk+Umpqq1NRUHTx4UBs2bNDMmTMVGhqqJUuWFPt7j3FxcRo4cKDp/aCsrCzn7/qVV17RiBEjtHjxYo+TxQcPHuxxwnZaWprS0tJ06NAhrVu3TpMnT9a8efM0evToAmtbuXKloqKiTIH0pKQkJSUlaefOnZo7d67mzJljOYEl/767devm8T7OnDmjM2fOKC4uTh988IEmTZqkDz/80CvNKQAAAICSdPjwYef7xgEBAfrnP//p3YKAa5xrRoAO0ADy8WgAXMfO71rj7RIKVNj6jh07pscee0z169fX2LFjde+99xbrB3xFZbPZPH54HhAQYNmRUbp2uktXrFhRa9as0auvvlpg5w8rtWrV0uTJk9WmTZtiq6dly5b66quvDMubWrHZbBoxYoRWrlxZLC9mGzVqpPXr15s62LgaNGiQPvzwQ8swrqvy5ctr8eLFps6AkpSx4yOVyzuvj/rWUodahQ9T3tO4gpbeX9OyU8+VcmSmKWOHOWxaWlhdS64dwayuT/drzL2DWNmyZS+rU2tRVK9eXWPHjjWNb9u2TV27di10h7ziNGzYMNPY9OnTDV2gv/rqK23YsMGwT1BQkCmQO3ToUD311FMef45z584pOjpacXFxptvcPySvWLGi6fx2u10TJkwwTByaOXOmaXn622+/3RRucDgcOrPyOTkyL3azfecH4zGSNPTmkBK53gx1ZJ7VmZVTSvXS9lbPV7Gxsdq+fbvhTQfX/QICAgzXV2xsrGWooTDBtCtxyy23mMY2b95sue+MGTO0cOFCLVy40LI7XnGwOq+n5aRdw1356tevX6Tnw8DAQC1YsEAtW7Y0jNvtdq1evbpYa3M/vm7duqZ9GoSYA3l1g8uYgn15DulMpt20b2E5Ms/q9OvDlHXA/G+utGnXrp2py5prF033kF/+deh6Pe7cudM5G/9qhvwyMjJMgWvJ+t+aJFWpUkU2m83j15YtW664prNnzR3O3btk5rPq9uxwOCxXTSiMBg0a6Msvv9SKFSssJ9tcaW1WxxfV5kNn9PyWPy65n/3sKWXGfa7kt0fp1KweStv0muznrCcllnaeJpx42g4ODtbIkSOd2w6Hw9B92up4T/dTHJYuXWqaIGGz2bR8+fICg7auAgMDPXZZLqq0tDTLn9+qu67V2Lp164p8n0ePHjWNhYaGmv7e27Jli+kxq3Xr1qbQu7+/v7p06WIYczgclt2D802bNs0ZiLfZbHrrrbfooFkIl5pw4sqqi3RB41bnycnJKUJ1RZORkaEBAwZoyJAhHoO2niQnJxf7BOm9e/eqW7dulzyvw+HQm2++qb59+xpe91+ujIwMRUVFacWKFR73Wb58ufr373/Jzs8ZGRl67LHHLCcUXI7jx4/rjjvu0K+//los5wMAAACuFePHj3f+vTN27FjVq1fPuwUB1zg62wKwQmdb4DqWc+xHb5dQoJzj1t0u8h08eFAvvPCCli1bZgrG/f7776pTp05JllegyMhIyw/Q2rVr57HDx7USts0XFRWlESNGaO3atdq0aZO+/fZbnTp1yrkUY8WKFRUWFqYmTZqobdu26tmzp9q1a1cis7Zat26tPXv2aPny5Vq9erV+/PFHJSUlOZcsvP322zV06NAClyx85513tHHjRm3dulV79uzRkSNH9Mcffyg7O1tly5ZVUFCQbrrpJrVp00b33HOPevbsKT+/Sz8NPvLII+revbtzycKDBw8qJSVFwcHBziULR44caRlcduTZlfHtxQ+OwiqW0epHwvW/4+e1/pdzikvM1m9pF5SRk3fx9+3vo3ohZXRzWFn1aVpRbWqUbJfTjG9XqOLtI0pl97FLLWljdT1Vq1ZNjRo18vhhZvv27T1eu8Vp2rRp2rlzp7788kvD+I4dOxQREaEWLVqobdu2Cg4OVlpamuLi4jx2BioOjz76qF566SXD8r0//fSTWrRooV69eiklJUXr1q0zhUNjYmJMy8Snp6fr/fff16JFi1SzZk1FREQoLCxMDodDJ06c0NatWy1DScHBwaZlXqWLod/Vq1cbQiHvvvuu4uLi1KFDB+3bt8/U1dbX11dz5841nev8d2uUtW+LJOlE+gV98es5w+0V/X3Ut4V1h9DilrVvi85//7HKt+9z6Z2vQVWrVlXjxo0N3aVPnz6td99917Cf+3UYGRnpDBgdP37csrt0SS9Xdccdd+jrr782jK1fv16HDx9WgwYNSvS+rbRt21Y2m81wfSUmJio1NVUhISGGffft22c6/nImCNhsNrVs2dLQhVi62NHAldXEof3791ueszC1tWvXzrTkeVGUK3NlQXjHhSwlvxOlKqPeKdUdbv39/dW+fXtDKCgnJ0ffffedIiMjDSEiX19fdezYUdLFa2vt2rWSLoZR9uzZo4iICMvQUUldh+4TI/K5P5dcTVbhX0+vDT0t2X3u3DnT9VoYhw8f1qhRozRr1iz179+/2GvL78ztymaz6ZZbbtFDDz2kLl26qGnTpgoICFD8p29q5av/1OLYk8q4YHy+Xx53ViPbhaheSOFeI9nP/K609fOVvvkthdw/SeXa9ynxiSxXU2RkpKkramxsrPr0+b/ndNcwbadOnXTrrbea9s/vwO9wOLR9+3bD7b6+vurUqVMxV37RF198YRq78847LTuDXg0//PCD6TVmjRo1LIO/zZo1szy+MHJzc3Xy5Elt3LhRTz/9tOl2q06YViuZeAoZN2vWTJ988kmhavvxxx81f/58w3137tzZ9LdBPnt6snIS9ir31CHl5WRI9guSbxn5+JeXX42G8g9vKd+KoZbHXm86d+6sN954wzC2bds2Q5dgScrOzva4Ek1sbKxpsuH58+cNfwtJFycW9urVS08++aTlebZv3256XVOrVi3TZMF8rhOL7Xa7+vXr5zGQXbt2bXXs2FFVq1ZVVlaWEhMTtXv3bp06dcpy/yuVm5urRx991BRmDQ8PV69evZScnKzPPvvMED5eu3atFi9erCeeeMLjecPDw9WqVSuFh4fLz89PJ0+e1ObNmy0ng8TExFg+Fx47dkyjRo0yBXsjIiI8/j04YcIEde/eXW3btrWsy2azqWnTpmrevLmqVq2q3NxcHT16VFu2bDG975iRkaH58+frlVde8fhz3ihSU1NVuXJlw2N2SEiI8/1Dd2vWrDH9jR8aGupcacHdypUrTRPha9eurd9++60Yqr/4fqF7J/R8eXl5+uKLL7Rp0ybFxsYqISFBKSkpys7OVoUKFVS1alU1bNhQERERuu2229S1a1ePrwuvVG5urj744AOtXr1ae/bsUWJiovN90W7dumnw4MEFvi8qXexSvXXrVu3atUt79+7V6dOnlZKSooyMDJUvX17VqlVT06ZN1aNHDw0cOFBVq1YtVG0pKSnO90UPHTqk5ORkhYSEON8XHT58+CUbOiQlJWnjxo3avn27fvrpJx0+fFjJycnKyspSxYoVVbt2bd1yyy0aNGiQbr+98CvhAQCAwvvmm2+cTReqV69e5FWUgRsRYVsAVgjbAtcpe3qy7GdL5s344mJPPSn7uRTTUvY//fSTZs2apY8++shjtwxvv5iZOHFikf8IadasWbF0M5w2bZqmTZt2xeeRLn44/9BDD+mhhx4qlvNdCT8/Pw0ZMkRDhgy5rOMrVaqkvn37FvtyitLFDwXGjx+v8ePHF+m4rP3fyH7mhHPbZrOpS93y6lLXujPZ1WQ/87uy9n+jwOaFfwM7IyND69evV8OGDT1+eHU1NG3aVJUrV1ZKinXXNE/h9cjISI9h26sVePf19dWqVas0ePBgyyVsf/7552LvVFQQPz8/LVu2TF27djV8wJqQkKC33nrL8pj77rtPjz/+eIHnPXHihE6cOFHgPtLF38cbb7xh2T26bt26ev311zV48GDDc8Hu3bs9foA+e/ZsU8jPfi5FqR/PdG6/t+esct2eWh5pEaQK/ldvwYfUj2eqbNPbTM9/pUXnzp0NYVtJhvBsWFiYqbtwZGSkodOUVdi2pK/D4cOHa+bMmYYQm91u1+DBg7Vx40bL7pIlKSgoSLfeeqv+97//GcY3btxoCmts3LjRdPzdd99t2Lbb7YV6fRQfH28aCwwMNGzfdtttKleunOF3tXfvXiUmJhq6+uXk5JhCDjabzRkky3fnnXfq1VdfNYwdPmNcsluSjp29oBy78bVSaKCvKgZc+es+x4UsnX57tGqMWyff4OqXPuAaFRkZadlJ0z1s27JlS1WsWNF5jKvY2FhFRERc1Y6anrpmWoVCrxarjrDuS8lfatxTWDgsLMwZ0srOzlZCQoK2bt1qCB0fOXJEAwYMUEJCgml1hCutzaquDz74QGFhYc5t+9lTOrN8vKrv26LH25XXn2uF64EVvxmeI+0O6YtDGRrVvmgTkhyZaTqzYoIy93yuSn1jSvU15+pSnTV//fVXQxfwzp07q0mTJqpSpYozYOR6ncbHx+vMmTOG87leu8Vt165dprHu3buXyH0VRn53V1funWPzVatWzTR25MgR5eXlWU4G3b59e6E65vfr10+TJk0q9tqsjrfb7RoxYoQz0Fe7dm298MILHmtL/eQFnfxplsfb8/kG15B/3ZtVrkMflW3apVROpiwMq+vPatKIa8f3wuy/c+dOU8iyU6dOaty4sXNpVXfTpk0zhW0bNmzocX9XMTExlkHbpk2b6uWXX7bs4ixdfLz48MMPTYHjK7Vs2TJT2LhVq1baunWrgoIuTkbctGmTevbsaXg/a8qUKRo+fLip6/q4cePUsWNHy871mZmZGjhwoOnv4Pj4eKWnp5se+5577jlTN+6hQ4dq6dKlzoDn1KlTNX36dOftdrtd0dHR2rRpk+G4gIAAvfXWW3rggQcUGmoOqB8/flw9evQwvV/gPiHiRhUSEqLmzZsb3qtITU1VfHy85YQNq9eYycnJOnDggOXEBav9J02apKioqCusvGDvvfeeZsyY4fF9otTUVKWmpurgwYPasGGDZs6cqdDQUC1ZsqTY33uMi4vTwIEDTe8HZWVlOX/Xr7zyikaMGKHFixd7nCw+ePBgjxO209LSlJaWpkOHDmndunWaPHmy5s2bp9GjRxdY28qVKxUVFWUK5SclJSkpKUk7d+7U3LlzNWfOHMsJLNLF7vojRozw+L54/u/6p59+0ttvv62ePXtq2bJlHp97AQCAZ1lZWfrqq6/UoUMHw8SavLw8jRkzxrk9c+bMEnv/AbieELYFYOXqpQqAEjB48GA1bdq0yF+///67t0svcTkJey+90zXggkudu3bt0gMPPKDWrVtrxYoVBS5LV5iOpIC3nd+1xtslFKiw9Z09e1azZs1SvXr19Mgjj+iWW27RH39celnhkmKz2Tx+eB4QEGDZkVG6drpLV6xYUWvWrNGrr756yc4f7mrVqqXJkyerTZs2xVZPy5Yt9dVXXxk6Llmx2WwaMWKEVq5cWSwdrhs1aqT169ebOti4GjRokD788EPLMK6r8uXLa/HixaawkiRl7PhIjqx0SVJWbp4+/MnYXdfHJg1tW7ilk4uLIzNNGTvMYdPSwupacg0pWF2f7teYe6ihbNmyl9WptSiqV6+usWPHmsa3bdumrl27FrpDXnFy764mXezq7NoF+quvvtKGDRsM+wQFBZkCuUOHDtVTTz3l8ec4d+6coqOjFRcXZ7rN/UPyihUrms5vt9s1YcIEwwekM2fONHUsvf32201h67vuukvVgo2B3l+Sc7Tul3Tndp7DoYXfmidR3F7fHDq8XI7MszqzckqxTH7yFk/L2KelpRk6Frtep+3btzcsUb5t2zYlJSWZwmBWQfniUqFCBVOoW7oYlrMyevRoPfnkk3ryySdVq1atEqnJKgDsHuopaNxmszmDSO7q1q2rhQsXauHChVqyZIk+/fRTnThxwrJL4oQJE0zLVF9pbVbHuwZts498r1Nz73V2fZekNjXKqnt984SwvUnWobXCyNq3Rafm3qPsI99f9jmuJe3atTNcS5Ix2Oce5Mu/Xl2v2507dzrfpL+agfeMjAzLjslWgThJqlKlimw2m8evLVu2XHFNVh0u3YN7+awC6A6Hw3LVhMJo0KCBvvzyS61YscJyss2V1mZ1/IIFC/T99/93LSxZssT5wWZeTqZp/7xM8zms2M+eUmbc50p+e5ROzeqhtE2vyX7OelJiadawYUNTsPnQoUNKSkoyjLlfh/ld3qWL3fjdA+5X8zpMTEw0TD7L16ZNG23fvt1j0Fa62B03JiZGR48e1YABA4qtpqVLl5rGpk6danh+6969u2kiVVpamuXkuUGDBnl8XAkMDNTkyZMtb3OfOJKenq5Vq1YZxnx9fTV79mxDJ9XJkyerUqVKhv02b95sen0RGBio4cOHWwZtJalOnTqmLslWdd3ILjXhxJVVsL2gcavzuHZTLm4ZGRkaMGCAhgwZ4jFo60lycnKxT5Deu3evunXrdsnzOhwOvfnmm+rbt2+B75kXVkZGhqKiorRixQqP+yxfvlz9+/c3BW2tzvXYY49ZPsZJFx8zivI32H//+191797d4+tfAADg2dChQ3X33XerQYMGeuGFF5SVlSXp4kSj/CYmN998s8fO/wCMCNsCsEJaDaXa8ePHdeDAgSIfdyO8WZp7ytxJ5Vp04eRB/ffgWc2ZM0dbt24t9HG8mEFpkHPsR2+XUKCc49bdLvKdPn1aixYt0ssvv2z4wDg3N1dHjhwp9HJzJSEyMtKyI1C7du08dvi4VsK2+aKiojRixAitXbtWmzZt0rfffqtTp045l2KsWLGiwsLC1KRJE7Vt21Y9e/ZUu3btiiXo6q5169bas2ePli9frtWrV+vHH39UUlKSc8nC22+/XUOHDi1wycJ33nlHGzdu1NatW7Vnzx4dOXJEf/zxh7Kzs1W2bFkFBQXppptuUps2bXTPPfeoZ8+ehZo48cgjj6h79+7OJQsPHjyolJQUBQcHO5csHDlypGVw2ZFnV8a3//fB0Sf705WSaTfs061++UIvj12cMr5doYq3jyiV3ccutcy81fVUrVo1NWrUyOOHme3bt/d47RanadOmaefOnablmnfs2KGIiAi1aNFCbdu2VXBwsNLS0hQXF+exM1BxePTRR/XSSy8ZOor99NNPatGihXr16qWUlBStW7fO9MFkTEyMqXNlenq63n//fS1atEg1a9ZURESEwsLC5HA4dOLECW3dutUylBQcHGxa5lW6GPpdvXq14QPOd999V3FxcR6X7vX19dXcuXNN58r58VM90ylIT39hDBM99tkprfgpTWEV/fTjqSztP238UN3XJv29Q/F2gM7at0Xnv/9Y5dv3ufTO1yCr6ys2Nlbbt283fOjuul9AQIAiIiKcy9vHxsZahhoK0wXyStxyyy36+uuvDWObN282dNXIN2PGDOf3P/74Y4lMlrQKA7l2JXXlHuaSpPr16xfpOTkwMFALFizQpk2bDMFou92u1atXG1ZQuNLaPAWdJCnrwDYlvxMlx4Us83Gh/vriV2Oowf15s6gcmWd1+vVhCh22RGWbFPz8ca3z9/dX+/btDddPTk6OvvvuO1N3aV9fX2fILzIyUmvXrpV0MYyyZ88eRUREWIaOLvUce7ncJ0bk89Sd+WqwCv96em3oacnuc+fOKSQkpMj3ffjwYY0aNUqzZs2yXL7+Smtz79p9+PBhTZ061bndv39/3X333XI4HDr/3Rqd+997Rf0RLNnP/K609fOVvvkthdw/SeXa97Fc4r206ty5s6kr6rZt29SnTx/Ddr7g4GCNHDnS2YXW4XDo22+/NQRHr2bYdunSpabgmM1m0/Llyz12gHcXGBho2Rn0cqSlpVn+/Fah3x49epj+/l63bl2RP6A/evSoaSw0NNQ0uXLLli2m67B169amLpf+/v7q0qWLPvnkE+eYw+HQZ599dsnVWApTW+PGjYt0jutZ586dTZ2Vt23bZgopZ2dne1yJJjY21jTZ8Pz586buykFBQerVq5flJCXpYsdh9+7StWrVMk0WzOc6sdhut6tfv36W7ydJF7uOd+zYUVWrVlVWVpYSExO1e/dunTpVMqvH5ebm6tFHHzWFWcPDw9WrVy8lJyfrs88+M4SP165dq8WLF+uJJ57weN7w8HC1atVK4eHh8vPz08mTJ7V582bLySAxMTGWz4XHjh3TqFGjTMHeiIgIj38PTpgwQd27d7/kalj169dXx44dVbFiRf3yyy/65ptvTH/z/vzzz5o9e7ZiYmIKPBcAADDKX53h3LlzmjRpkt544w1Nnz7dsFrr/Pnz+ZwdKCTCtgCsELYFrlN5OaVj5vd//r1cQ1/fXOTj2rVrJz8/P/n5+cnX17dQ/y3KvldyjLeOzf/e19f3uvpArbSypyfLfrZk3owvLvbUk7KfSzEtZX/y5Em9+OKLWrJkieUHzZL3u0tPnDjR8OZAYTRr1qxYuhlOmzZN06ZNu+LzSBc/nH/ooYf00EMPFcv5roSfn5+GDBmiIUOGXNbxlSpVUt++fYt9OUXp4gew48ePNwSRCiNr/zeynznh3O7XMlj9Wl7dLrae2M/8rqz93yiw+e2FPsbhcOjAgQOqVq3aJbv9lqSmTZuqcuXKSkmx7prmKaAQGRnpMWx7tQLvvr6+WrVqlQYPHmwKa0gXP9Ar7k5FBfHz89OyZcvUtWtXwwesCQkJeuuttyyPue+++y4ZHjhx4oROnDhR4D7Sxd/HG2+8YfnvqW7dunr99dc1ePBgwwesu3fv9vgB+uzZs00diu3nUpT68Uw90iJI/zt2Xh/vd+1mK319zPp5RpKmdq2qRqHFH8JO/Ximyja9zfT8VxpUrVpVjRs31i+//OIcO336tN59913Dfu7XVGRkpDNse/z4cctudCUV8st3xx13mMK269ev1+HDh9WgQYMSvW8rbdu2lc1mM7w2SExMVGpqqim8t2/fPtPxl9ON22azqWXLloawrXQxiOfKqkv//v37Lc9ZlNqyD3/nMWgrSWezzF3SypW58r8rHBeylPxOlKqMekcB9a1XICgtIiMjTeG0bdu2mcK2LVu2dHYtdb+2YmNjFRERcVVDfp6CfO6h0KvJqiOsp4nRnsY9hYXDwsKcIa3s7GwlJCRo69athtDxkSNHNGDAACUkJJhWR7jS2tzrGj16tPPvqtDQUL300kuynz2lMyufu9hhOrd4Ozg6MtN0ZsUEZe75XJX6xsg3+PpYhjsyMtL0+i02NtYQts1/rpOkTp066dZbbzXtnx+2dTgczg+i8/n6+qpTp07FXPlFX3zxhWnszjvvNK0wcLX88MMPpr+Pa9SoYfl40axZM8vjCyM3N1cnT57Uxo0b9fTTT5tut1p23uq1pqeQcbNmzQxh26LUlp2drcOH/x97dx4eVX33//91MmQnGwlLAEVlXwRJoAixCEUoN3orqIBoZWmwmNrlp1VvlqoRhIJYFYUClsWitFSgsYjrHUAtYVVKkM0vSJSGVbKQkJ3J/P7gTszknEkmZJmEeT6ui4vkzDln3gmcmTPnvD7vzwn97W9/05/+9CfT49MmP6SCI5/p8tnjV66z2kskm698/ILVrE0n+bXvJVuIdbfca43VeaLVoJGKHd/dWX/Pnj2mWU9uvfVWdenSRa+++qrlfhITE01h206dOrlcv6I5c+ZYBm27deum119/3WWH6cOHD+tvf/ubKXBcW2+99ZYpbHzzzTdr+/bt5R2mt2zZouHDhzsdr88884zi4+NNXdefeuopDRgwwHLgVUFBgR588EHT6+jhw4eVm5trmkb62WefNQ0QmDx5slatWlV+3fm5557T7Nmzyx+32+168skntWXLFtPz+/j4aMKECXriiSdM56opKSn6r//6L+Xm5jotf/vttwnb6sqgqRYtWjj9HwgPDy8frF9ZUlKSaUBtZGSkLly4YLn/9evXm2aduu666/Sf//ynDqq/Mjjf1eCM0tJSffzxx9qyZYt27Nih9PR0ZWZmqqioSM2bN1fLli3VqVMnxcTE6Pbbb9eQIUNcDsKqrcuXL+uvf/2rNm7cqNTUVJ07d668CcFPfvITTZw4scomBJJ04MABbd++XXv37tXBgwd14cIFZWZmKi8vT8HBwWrVqpW6deumO+64Qw8++KDbjSwyMzPLmxAcP35cGRkZCg8PL29CEB8fX+3saYWFhfr3v/+t3bt3l/+xmmmmKc8EBOCKys0Wvv32W02cOLH8+9GjR2voUPfvSQDejrAtACuEbdGk1cXUhdcse9Po3nvuTPpVbWe322W3211ewPV2Pj4+DRIM3rVrV3k4qOzintXflZf98pe/VFRUVJ0GlGuyj/roDFpZcfrB6ldqBErSD8rWbbCkK10rXnzxRa1cubLaY4sPFGgK8vcmebqEKuXvTXIrbFtaWqpNmzZp7ty5+uKLL9S6dWulpaVZTsneEAzD0MCBAy1vUvr7+1uGxKQrN2grBwLLNGR36ZCQECUlJWnp0qWaN2+e0tPdPxdp166dJk+erD59+tRZPb169dLWrVs1YcIEHT582OV6hmEoPj5eS5YsqZP3sc6dO2vx4sUaMWKEy3Ueeugh+fr6KiEhwWW4WroytfaCBQv02GOPmR7L2/2OHIVXbpq+OrK1IgNtenN/tuxV3L8J8jU0e2jLegvHOwpylLd7vUKHTauX/de3QYMGOYVtJTmFZ6Ojo3XjjTc6PR4XF+c0ratV2La+j8P4+HjNnTvXaSCP3W7XxIkTlZycbDmVe30KDQ3Vbbfdpn/9619Oy5OTk02d0ZKTk03b33nnnU7f2+12t86PrI7zyq/nt99+u4KCgpx+VwcPHtS5c+ecuvoVFxebOooZhmGa7vvTTz9Vjw6tVLLKddC26HKptqaZB2xeH1Y3N7MdJYW6sPJRtXlqc5MO/lkdJykpKcrJyXEKUVcMJfXr10/+/v7l59cpKSkaN26cjh93no3G6titK82bN1dgYKAKCpw7jFvdYJeuhEPLgrgbNmyol+7SVoE+V9NFWy03DMNpqvuKOnToYApdFRQUaMaMGVq0aJHT8unTp2vMmDHq2LFjndVWcfu///3v+t///d/y71955RWFXjqpsysflaPA3GGwLhUe+VRnF96lqPhlTT7oLlU/jf0333zj1AV80KBB6tq1q6KiosoDRhXDfocPH1ZWVpbT/ioG5eva3r17TcuGDRtWL8/ljsqvQZJMnWPLtGrVyrQsLS1NpaWlluelu3btcqtj/vjx4zVz5sw6r81q+zLz58+vduCuj2Fo1vAb1H3b/yijmv4AtrA28utwi4L6j1FAt8FNcuYSd3Tq1EmtWrVy6qh//PhxnT9/3unfoHKgdsCAAeXB2CNHjigrK0sRERHljzfkwJNz5845nQ+X6dOnjz777LMqO0z36NFDc+bM0cyZM3Xy5Mk6q2nVqlWmZc8995zT+9uwYcM0atQop8/fOTk5Wr9+vSnA+NBDD7l8rsDAQM2aNcty0GnlgSO5ubnasGGD0zKbzab58+c7hTtnzZql119/3em1dNu2bUpLS3M6p7n55pv1xRdfuOx4GxcXp+eff15PPPGE0/Jvv/3WMgjsbcLDw9WjRw+ngcHZ2dk6fPiw5YANq+MqIyNDX3/9teXABav1Z86cqYSEhFpWXrU1a9bohRdecDkoOzs7W9nZ2Tp27Jg+/PBDzZ07V5GRkVq6dGmdD/Q/cOCAHnzwQdPg68LCwvLf9ZIlSzR16lQtXrzY5cxMEydOdDk7Uk5OjnJycnT8+HFt3rxZs2bN0ksvvaRHH320ytrWr1+vhIQEUwfs8+fP6/z589qzZ48WLlyoF1980XIAS5mEhASX1+QAXDscDodp8EplhmHo1KlTateuXQNVBTRthG0BWCFsC1yrbPUzwreujb5vnJZ99VeXN/lc6dmzp5o1aya73a7Lly+7/NtqmTeMzi0tLXWaYqyxef755z1dQr11JS77+ydhF3SX9b3fRqXkzDF9Y4/UggUL9Le//c3UUcQVT3e2BdxR/N1+T5dQpeKT1hfgy9jtdr3zzjuaN2+eU4Dn3Llz+vrrr3XLLbfUc4WuxcXFWYZtY2NjXd50qKprZkOGbcskJCRo6tSp2rRpk7Zs2aKdO3fq7Nmz5d1hQkJCFB0dra5du6pv374aPny4YmNj62XARu/evZWamqq1a9dq48aN2r9/v86fP1/eRWXo0KGaPHlylV1UVq9ereTkZG3fvl2pqalKS0vT999/r6KiIgUEBCg0NFQdO3ZUnz59dNddd2n48OFuvZaPGzdOw4YNK++icuzYMWVmZiosLKy8i8ojjzxi2UXFUWpX3s515d/bfAwlDm2p8b1C9c6hHP3ru3ydvXRZ+SWlCguwqVMLPw3uEKSHeoepRWD9XrjK27lOIUOnNslAhFVwveL7t1W4pfIxVvn9PiAg4Ko6tdZE69at9cQTT+iFF15wWp6SkqIhQ4Zo6dKl1U45W9emTJliCtvOnj1bI0aMKA85bN26VR9++KHTOqGhoaZA7uTJkxUZGalJkyZZ/hyXLl1SYmKiDhw4YHqs8k3ykJAQ3X///Vqz5oep5e12u6ZPn+7UTWzu3LlOnTolaejQoabAZlJSkkavWKaJNwfrZ73D1DbE+bPi93mXNT35vE7nms8Dh90YbFp2tRwFF5W1/hlFxi9vsjNxWL1f7dixQ7t27XLqAl5xPX9/f8XExJR33NyxY4dlqMGdYFpt/OhHPzJ1l962bZsef/xx07oVj9P9+/fXS9jWqutexaBkRRXDXWVuvPHGGr0nBwYG6pVXXtGWLVuczqvsdrs2btzoNINCbWuruH3F7tPBwcHanfyePlv0uFT6w82afWfMIfh3j+bq8PkrAe3xvULVvaV/VT+eS46Ci7qwfIoipyxVQNf67WBe32JjY52C69IPXTT9/f1NIb+y43DQoEHatGmTpCtdNMsGRzRkyC8vL89y1hir/2uSFBUVZQrVVLRt2zYNGTKkVjVZTSdfuUtmGatuzw6HQzk5OaZu8O646aabtGzZMg0fPrxearPa3l0/7hCkxCFR6hLp3jUP+8WzKjjwkQoOfCRbRDsFDxyv4AHjmuQMCtUZNGiQKaiZkpLi1F264nEVFhamRx55pDxs63A4tHPnTqdBQQ15HK5atco0QMIwDK1du7bKoG1FgYGBLrss11ROTo7lz2/VXfeOO+4wff7evHmzy26hrnz77bemZZGRkaaZTj799FPTa1bv3r1NoXc/Pz8NHjzYqbu0w+HQ+++/7zQbizsDC26//XbL5QUFBV4ftpWufAasHARNSUmxDNtadZEuW+5u2LY+7yvk5eVp6tSpWrduXfUrV5KRkaFDhw7Vadj24MGD+slPflLl+6505f/2n//8Z507d05JSUm1vjaUl5enhIQEhYeH64EHHrBcZ+3atabZhlzt67HHHlN+fr5pxoaK9QO49hUWFlZ7jy8pKUkff/yxnn76aT311FOW59MAfkDYFoAVkjLANcrHr+5uitan6Otu1IkTJ7R9+3b9/ve/N938c+W999676q4/paWl5Z1x3Q3ouvt3Q29bH89X8aTxWlb2O6iv7sjtB7aQBjb+6QQ/3PQPjX91ao23++lPf6rAwECX4eSrWdZQ29RmPw3RFRl1w56bIfvFs54uo0r27DOyX8o03YgtLi7W22+/rT/84Q8uuzJ5+kP9jBkzqu0IVVn37t3r5OJ+YmKiEhMTa70fSfL19dV9992n++67r072VxvNmjXTpEmTNGnSpKvaPiIiQmPHjq3zDi/SlRuwTz/9tFMQyR2FRz+XPeu0aXn3lv56boh70yXWF3vWKRUe/dyt7tKNTVXBdck6oNCqVSt17tzZZdegfv36uQzK16XExETt2bNHn3zyidPy3bt3KyYmRj179lTfvn0VFhamnJwcHThwwGVnoLrw8MMP67XXXnOavverr75Sz549NXLkSGVmZmrz5s2m1645c+aYponPzc3V22+/rUWLFqlt27aKiYlRdHS0HA6HTp8+re3bt5um8pOuBFEqT/MqXQn9bty40SkU8uabb+rAgQPq37+/jhw5Yupqa7PZtHDhQtO+Lp//Rhfzi/X67mIt3p2lLpF+6tHSX8F+hv5z8bK+PFOoS8XmG7j92wVo0PV1e9Ol8Minyv/yXQX3G1P9yo1Qy5Yt1aVLF6fu0hcuXDAF4Csfh3FxceVh25MnT1p2l67u2K6tESNGmD5vf/DBBzpx4oRuuummen1uK3379pVhGE7H17lz55SdnW0K71UMrJa5mgEChmGoV69eTmFbSTpx4oTT91Zd+o8ePWq5z5rUlpeXpyVrzP/2Vv71Xb7+9d2VoNOt1wVeddhWutJZOmN1gqKmrW7SHW79/PzUr18/p1BQcXGxvvjiC8XFxTmFi2w2mwYMGCDpyrFVFrbNy8tTamqqYmJiLMNI9XUcVh4YUabye0lDsgr/uhqI5WrK7kuXLl1V2PbEiROaNm2a5s2bZxkwqm1tZZ25r8a/vsvX05+c19xhrdSzVc2OO3vWKeV88LJyt61Q+D0zFdRvTJMdXGIlLi7OFLbdsWOHU9i27L1Okm699VbddtttpvXLwrYOh0O7du1yetxms+nWW2+t48qv+Pjjj03LfvrTn1qGFRvCv//9b9M5Zps2bSyDv927d7fc3h2XL1/WmTNnlJycrN/97nemx606Ye7bt8+0zFXIuHv37k5h25rUVpHV9ejAwEA1v3BYuYfeU2lx3pWZ/Gy+8vELVrM2neTXvpdsIY3/2mtdGDRokN544w2nZSkpKfrFL37htKyoqMjy30+6cvxNmTLFaVl+fr7TZyHpysDCkSNH6re//a3lfnbt2lUeoi/Trl0702DEMj169Cj/2m63a/z48ZaDtyXpuuuu04ABA9SyZUsVFhbq3Llz2rdvn86erZ/re5cvX9bDDz9sCtq2b99eI0eOVEZGht5//32n8PGmTZu0ePFi/eY3v3G53/bt2+vmm29W+/bt1axZM505c0bbtm2zHAwyZ84cy/fC7777TtOmTTMFbWNiYlx+Hpw+fbqGDRvm1iDWTp06KT09XYWF1jOf4AfZ2dlq0aKF02t2eHh4+WD9ypKSkkyf8SMjI8tnWqhs/fr1GjdunNOy6667Tv/5z3/qoPorg/NdDc4oLS3Vxx9/rC1btmjHjh1KT09XZmamioqK1Lx5c7Vs2VKdOnVSTEyMbr/9dg0ZMsTleWFtXb58WX/961+1ceNGpaam6ty5c+VNCH7yk59o4sSJVTYhkK50qd6+fbv27t2rgwcP6sKFC8rMzFReXp6Cg4PVqlUrdevWTXfccYcefPBBtWzp3rXJzMzM8iYEx48fV0ZGhsLDw8ubEMTHx1s2IbDicDiUlJSk9evXa/fu3Tp37pxsNpvatGmjH//4x3rwwQdrNftFdV1ty+Tn5ysxMVErVqzQli1b1KVLl6t+TuBaR9gWgBXCtsA1qlkb6+4YjY1vdGdJ0m233aZt27Zpy5YtmjVrlvbs2VPldrXpqunj4yMfH596+1DY1DkcDpWWltZ72Lcp78OdsJifT9O4oXL8/1nfNK5OfXS3agoMw6jzoG9twr/vvvuuTp06VX5hzzAMp69dLZs3b57atGlTp0HmxhZELk4/WP1KjUBJ+kHZug2WdKVjy6pVq7RgwYJqL6jSXRpNQf7eJE+XUKX8vUluh21PnTqll156SWvXrlW/fv30/vvveyw80a1bN7Vo0UKZmZmWj7vqBhYXF+cybNtQ3aVtNps2bNigiRMnWk5he+jQIVPHpvrUrFkzvfXWWxoyZIjTDdb09HStWLHCcpu7777bqVOXldOnT+v0aXPQvDKbzaY33njD1E1Mkjp06KDly5ebOhnt27fP5Q30+fPnm0J+9kuZKvrmh89WDklfZxTr64yqu1W1ad5Mi0a2qfZnuBrZ785VQLfbm2zXv0GDBjmFbSU5hWejo6NNA0Pj4uKcpq62CtvW93EYHx+vuXPnOoXY7Ha7Jk6cqOTkZAUEBNTr81cWGhqq2267zdRdOjk52RTWSE5ONm1/5513On1f1q20OocPHzYtCwwMdPr+9ttvV1BQkNPv6uDBgzp37pxTV7/i4mJTyMEwDKeujY2Fo6RQF1Y+qjZPbZYtrHX1GzRScXFxpg58KSkpprBtr169yjshVg7Q7tixQzExMQ3aUdNV18zahEJry6qDVeWp5Ktb7iosHB0dXR7SKioqUnp6urZv3+4UOk5LS9OECROUnp5u6sJX29qqCjH3799fv/3tb+UoylPmoX/peNpJ7TtTqGL7D9d5vjxTqHv//h+9ObqtBl5X80EnjoIcZa2broLUjxQxdk6TPuYqsgqjVzyOvvnmG6cu4IMGDVLXrl0VFRVVHjCqeJwePnxYWVlZTvureOzWtb1795qW1SbMUltWA2srd44t06pVK9OytLQ0lZaWWl6L2bVrl1sd88ePH6+ZM2fWeW2uBg1XpXJgV5IGt/VR5spfWKz9A1tYG/l1uEVB/ccooNvgJjlziTusjj+rQSNlHd+tWK2/Z88eUwfEW2+9VV26dNGrr75quZ/ExERT2LZTp04u169ozpw5lkHbbt266fXXX7fs7Cxdeb3429/+Zgoc19Zbb71lChvffPPN2r59e/lMJ1u2bNHw4cOd7gc888wzio+PN3Vdf+qppzRgwADLzvUFBQV68MEHTZ+DDx8+rNzcXNNr37PPPmvqxj158mSnmU6ee+45zZ49u/xxu92uJ598Ulu2bDE9f2xsrK6//nrdeuutGjBggCIjI3XDDTfou+++c/HbQZnw8HD16NHD6VpFdna2Dh8+bDlgw+ocMyMjQ19//bXb3aVnzpyphISEWlZetTVr1uiFF15weZ0oOztb2dnZOnbsmD788EPNnTtXkZGRWrp0aZ0P9D9w4IAefPBB0/WgwsLC8t/1kiVLNHXqVC1evNjlYPGJEye6HLCdk5OjnJwcHT9+XJs3b9asWbP00ksv6dFHH62ytvXr1yshIcEUyj9//rzOnz+vPXv2aOHChXrxxRctB7BU9J///EcTJkyw/DfPzc3VsWPHtGrVKt1zzz36y1/+4nbn/co/Z02kp6eX/18AYK3iddnGdh8UgOdwlx64Rvm17+XpEtziW6FOwzB0xx13aNiwYdq8ebN+//vfW06zKjFyqD6VhQn5HbvmqjuyUyB3x5vS3rc9XWq1fjrqTr2YsqbG0yxGRkbK4XBY/uzXMofDUf7zNmVX2zmzKvURRK7Nfvpc/lpVj3VvHErOHNPl9jFatmyZXnrpJZdTFFdG2BZNQfF3+z1dQpWKT1bfMTUtLU0LFizQ6tWry7vZfPjhhzp27JjHuj4YhqGBAwda3qT09/e37MgoXblBW7n7ZpmGCttKUkhIiJKSkrR06VLNmzdP6enpbm/brl07TZ48WX369Kmzenr16qWtW7dqwoQJliG8MoZhKD4+XkuWLKmTC6udO3fW4sWLNWLECJfrPPTQQ/L19VVCQoLLcLV0ZWrtBQsW6LHHHjM9lrf7Hd3QXPK3GSqyu9dd/LbrA/XSiNZqF1o/gxMdBTnK271eocOm1cv+65vVsVTx3NAq3FL5GKt8LhkQEHBVnVpronXr1nriiSdMN9FSUlI0ZMgQLV261K0uWHVpypQpprDt7NmzNWLEiPKAw9atW/Xhhx86rRMaGmoK5E6ePFmRkZGaNGmS5c9x6dIlJSYmWl5jqHyTPCQkRPfff7/WrFlTvsxut2v69OlOAYe5c+eaOpYOHTr0qmfhqW+OgovKWv+MIuOXN9lum1bvVykpKcrJyXHqWFwxlNSvXz/5+/uXh49SUlI0btw4UxjMKihfV5o3b67AwEAVFBQ4LU9LS7Nc/9FHHy0P4m7YsKFeBrta3byvHOqparlhGOXHaWUdOnQwha4KCgo0Y8YMLVq0yGn59OnTNWbMGHXs2LHOaqsqmDBs2DDddlO4Lqx8VI7+pVL/9jp36bJ+/cFZ7Uz/4d8nv8Shpz45r89/3kE+V3m8FB75VGcX3qWo+GVNuqt0mdjYWKdjSfoh2Ofv728K8pUdr4MGDSrvLr1nz57ywRENGXjPy8uz7JhsFYiTpKioqCqnlN+2bZuGDBlSq5qsrsNVDu6VsQqgOxwO5eTkXFV36ZtuuknLli3T8OHD66W2ml5jPPjFTr380oum5VNjI6rd1n7xrAoOfKSCAx/JFtFOwQPHK3jAuCY7qMuVTp06qVWrVjp//nz5suPHj+v8+fNOgefKx+GAAQPKg7FHjhxRVlaWIiJ++L025HF47tw5p8FnZfr06aPPPvusytfuHj16aM6cOZo5c6ZOnjxZZzWtWrXKtOy5555zen8bNmyYRo0a5fT5OycnR+vXrzd1C33ooYdcPldgYKBmzZplOei08sCR3NxcbdiwwWmZzWbT/Pnznc7hZs2apddff91p4MK2bduUlpZmOqf59a9/7bI2VC8uLs4UBE1JSbEM21oF28uWuxu2rdhNua7l5eVp6tSpWrduXY23zcjI0KFDh+o0bHvw4EH95Cc/qfJ9V7ryvvfnP/9Z586dU1JSUq2vy+Tl5SkhIUHh4eGW3aUlae3ataYB0K729dhjjyk/P980iKzM6dOnNWTIENOsKlb++c9/6qc//am2bNni8v3XlZqGbVu3bq2JEyfWaBvA29DZFoAV7tID1yhbSKRsYW0a9RTatvBoywtfhmHov//7v3XnnXdqw4YNevbZZ/X11187b8vJDDzIne7Iud+0U80uLXtGlx59lJGRob///e967rnn3O4+8e9//1vXXXedaXlZZ2R3OgdXt6yhtmnI/VzLGlsQ+fGBLdR/YOOfTnDX9m36r+HTavz/45e//KVCQ0OrDChX9fXVbFObryt/7+Pj02RDHnCPPTejUZ+HSpI9+4zslzItz0ePHDmiP/zhD/rrX/9qeXxWd6G9vsXFxVmGbWNjY112+KhqauyGDNuWSUhI0NSpU7Vp0yZt2bJFO3fu1NmzZ8unYgwJCVF0dLS6du2qvn37avjw4YqNja2XDgK9e/dWamqq1q5dq40bN2r//v06f/58+ZSFQ4cO1eTJk6ucsnD16tVKTk7W9u3blZqaqrS0NH3//fcqKipSQECAQkND1bFjR/Xp00d33XWXhg8f7tbAiXHjxmnYsGHlUxYeO3ZMmZmZCgsLK5+y8JFHHrGcstBRalfeznWa3Ddc9/YI0ba0fO1Kz9eR74v1n5wSXSwsld3hUIifj9qH+SqmTYBGdw9Rv7aBFpXUrbyd6xQydGqT7D5W3TTzVsdTq1at1LlzZ5ddg/r16+fy2K1LiYmJ2rNnjz755BOn5bt371ZMTIx69uypvn37KiwsTDk5OTpw4IDLzkB14eGHH9Zrr73m1FHsq6++Us+ePTVy5EhlZmZq8+bNpplF5syZY+pcmZubq7fffluLFi1S27ZtFRMTo+joaDkcDp0+fVrbt2+3vPEYFhZmmuZVuhL63bhxo1OQ780339SBAwdcTt1rs9m0cOFCp2WJiYl66s7eylo33eXv4eUdGXpll3Og/o8/ba1xPa2DjLVReORT5X/5roL7jal+5UbI6vjasWOHdu3a5fTeXHE9f39/xcTElE9vv2PHDstQgztdIGvjRz/6kT777DOnZdu2bdPjjz9uWrdiKH7//v31Era1Chm6GvhXMdxV5sYbb6zRe3JgYKBeeeUVbdmyxSkYbbfbtXHjRj399NN1VpurAKUkFX6doozVCXKU/DBtduvmzbT4zjb60Rtpqjgu5buLJUo9W6S+0Vff+dtRcFEXlk9R5JSlCuha9ftHY+fn56d+/fo5HT/FxcX64osvTN2lbTabBgwYIOnK+2ZZ2DYvL0+pqamKiYmxDCNV9x57tSoPjChTVRfk+mYV/nV1bujq+uOlS5euKmx74sQJTZs2TfPmzbMMGNW2Nne7djscDh19b7lGPvxbFRQ5hw3jY8J1a/uanZPas04p54OXlbtthcLvmamgfmOuqesOgwYNMgU1U1JSNGbMGKfvy4SFhemRRx4pD9s6HA7t3LnTqQN/Q4ZtV61aZRogYRiG1q5d63b3xsDAQMuw4tXIycmx/Pmtuuvecccdps/fmzdvNoVtq/Ptt9+alkVGRppmOvn0009Nx2Hv3r1NHab9/Pw0ePBgp87QDodD77//frWzsaBmBg0aZOqsnJKSol/8wrn7dlFRkcuZaHbs2KEpU6Y4LcvPzzd1Vw4NDdXIkSPLZwmobNeuXabu0u3atTMNRizTo0eP8q/tdrvGjx9veT1Jkq677joNGDBALVu2VGFhoc6dO6d9+/bp7Nn6ub53+fJlPfzww6agbfv27TVy5EhlZGTo/fffdwofb9q0SYsXL9ZvfvMbl/tt3769br75ZrVv317NmjXTmTNntG3bNsvBIHPmzLF8L/zuu+80bdo00/W/mJgYl58Hp0+frmHDhlkO/pw2bZopaNuiRQvdfffdKioq0qZNm5xeI3fv3q1nnnlGL7/8ssuf00pubq7b6z744IN67bXXFBnZ+O+hAJ5E2BaAFcK2wDXMr8MtKjjwkafLcMnv+qo7Uvn4+GjcuHG69957tXbtWiUmJurbb79Vx44d1bJlywaqErg6zdq4vrnTmPhGd5bNZtODDz6osWPHas2aNZo9e3a1XQJcXWSv2Bm5IQIDTUlZJ+DquiI3dCC4sdRQ1/x8msYNld07Uq7q57eaTrmpcbercWMKE1f+/pVXXimfSrzsJl7Fv62WSVJSUlL5Bd+K+72WpiEqTj9Y/UqNQEn6Qdm6DS7/fv/+/Zo7d642btxoCndV5OkLazNmzNCMGTNqtE337t2r/JnclZiYqMTExFrvR7pyc/6+++7TfffdVyf7q41mzZpp0qRJV939PSIiQmPHjq3z6RSlKzdgn376aacgkjsKj34ue9ZpSVKov033dAvRPd3qZ2rmmrJnnVLh0c8V2GOoW+s7HA5t3bpVf/vb33Trrbdq6tSp9Vyha926dVOLFi1cdht2FVCIi4tzGbZtqMC7zWbThg0bNHHiRMuuWocOHTJ1bKpPzZo101tvvaUhQ4Y43WBNT0/XihUrLLe5++67qw0PnD59WqdPn672+W02m9544w1TwEG60plz+fLlpk5G+/btc3kDff78+aYOxfZLmcp+d261tTSk7HfnKqDb7U2y61/Lli3VpUuX8vMvSbpw4YKp23TlYyouLq48bHvy5EmtX7/etO/6CvmVGTFihCls+8EHH+jEiRO66aab6vW5rfTt21eGYTidG5w7d07Z2dmm8N6RI0dM219NN27DMNSrVy+nsK0kU/DAqkv/0aNHLfdZk9qKTnxhCtqWaRXcTJFBNp3Pc/5sdvJiSa3CtpLkKClUxuoERU1b3eQ73MbFxZnCaSkpKaawba9evcqnRK98bO3YsUMxMTENGvJzFeRzNxRaH6w6wlbublndcldh4ejo6PKQVlFRkdLT07V9+3an0HFaWpomTJig9PR0Uxe+2tbmTojZfvGsdi36te5f+K7OXnIetP3TjsF6ZnBUtftwxVGQo6x101WQ+pEixs6RLax19Rs1AXFxcabztx07djiFbcve6yTp1ltv1W233WZavyxs63A4tGvXLqfHbTabbr311jqu/IqPP/7YtOynP/2pZWfQhvDvf//b9Pm4TZs2lq8X3bt3t9zeHZcvX9aZM2eUnJys3/3ud6bHraadtzrXdBUy7t69u1PYtia1Vceem6Hi9IO6fPa4SovzJHuJZPOVj1+wmrXpJL/2vWQL8Y6QntV5otWgkbKO71as1t+zZ4+pccWtt96qLl26mGYJKJOYmGgK23bq1Mnl+hXNmTPHMmjbrVs3vf7665Zhc0k6fPiw/va3v5kCx7X11ltvmcLGN998s7Zv317eYXrLli0aPny40/H6zDPPKD4+3tT19amnntKAAQMsB14VFBTowQcfNL2OHj58WLm5ueXnLWWeffZZ0wCByZMnO8108txzz2n27Nnlj9vtdj355JPasmWL03bbtm3T5s2bnZZFR0friy++UNu2bSVd+Sz+ox/9yClo/9prr+nXv/51jWbfcKezbatWrbRs2TKn9w8ArhG2BWCFsC1wDQvqP6ZRh22D+rt3Il9243vChAnavXu3evbseU2FUXBt8mvfy9MluMW3Qp2+vr6Kj4/Xz372M/35z3/W3LlzXY5aZgr7mjMMozxUB2dlHZHrMvAbdex96VvzhfzGJqb/APl8ctLjXTI9oSx47o169+5tubzsdaKphY6tvm753VY1haFRJWeOKaDbYO3cuVNz58512d2jMl7L0RTk703ydAlVyt+bVG3Ytqwz0wsvvFB+Q3HVqlW65557PDYA0zAMDRw40PL1wt/f3zIkJl25QVs5EFimIbtLh4SEKCkpSUuXLtW8efOUnp7u9rbt2rXT5MmT1adP1QNna6JXr17aunWrJkyYoMOHD7tczzAMxcfHa8mSJXVyPaBz585avHixRowY4XKdhx56SL6+vkpISHAZrpauTK29YMECPfbYY6bH8na/I0eh+92FGoKjIEd5u9crdNg0T5dyVQYNGuQUtpXkFJ6Njo423ZCOi4tzmrraKmxb38dhfHy85s6d63QD3W63a+LEiUpOTlZAQO0CnTUVGhqq2267Tf/617+clicnJ5s6o1kN9Lvzzjudvrfb7W7deLQ6zgMDnbtX3n777QoKCnL6XR08eFDnzp1z6upXXFxs6ihmGIZT18ay2nTpe11YZR20laQL+ZeVkW/+bBLQrG4GcTpKCnVh5aNq89TmJh38szpOUlJSlJOT4xSirhhK6tevn/z9/cvDRykpKRo3bpxpZiWrY7euNG/eXIGBgSooKHBanpaWZrn+o48+Wh7E3bBhQ710l7YK9FUO9VS13DAMp6nuK+rQoYMpdFVQUKAZM2Zo0aJFTsunT5+uMWPGqGPHjnVWW3VdSovSvtTHs3+mSev+n7ILna+F3HFTsP50V7RsdTCAuvDIpzq78C5FxS9r8kF3yTrsVzG0/s033zh1AR80aJC6du2qqKgoXbhwQZJz2O/w4cPKyspy2l/FoHxd27t3r2nZsGHD6uW53GE1u1vlzrFlWrVqZVqWlpam0tJSy/PSXbt2udUxf/z48Zo5c2ad1+buzHVWCg5tVf4X76r4u/1uzVZkC2sjvw63KKj/GAV0G9wkZy5xR6dOndSqVSunjvrHjx/X+fPnnf4NKgdqBwwYUP459siRI8rKylJERET54w058OTcuXNO58Nl+vTpo88++6zK1+4ePXpozpw5mjlzZrVNWmpi1apVpmXPPfec0/vbsGHDNGrUKKfP3zk5OVq/fr2pu/RDDz3k8rkCAwM1a9Ysy0GnlQeO5ObmasOGDU7LbDab5s+f79QxfdasWXr99dedXku3bdumtLQ0p3Maq5/zd7/7XXnQVpJ69uypKVOmaMmSJeXL7Ha7/vKXv9RowHt1nW3Hjx+vxYsXKyrq6ge1AN6GsC0AK9whBK5hAd0GyxbRTvasur8gWFu2iHYKqNBFzB1+fn768Y9/XE8VAXXLFhIpW1ibRj2Fti082rKbkb+/v371q1/p5z//uZYsWaL58+ebbi7zgQJ1qWJH5LqS639KF5tA2PbHQ4fr3G8W68UXX9TixYtNN/9c+eqrrxQREeEUMHYnkFyXX3vyOa5VDodDJSUlLrsGNSWPD2yhJwY2/g4n3x4/qjsnXa///Oc/Ndpu9erVatmyZZUh5Pr6/lqaChX1q/i7/Z4uoUrFJ1NdPlY2rfi8efOUmuq8nsPhUE5OjkdnO4mLi7MM28bGxrqc3aGqrpkNGbYtk5CQoKlTp2rTpk3asmWLdu7cqbNnzyozM1OGYSgkJETR0dHq2rWr+vbtq+HDhys2NrZeBr727t1bqampWrt2rTZu3Kj9+/fr/PnzCggIUNu2bTV06FBNnjxZ/fv3d7mP1atXKzk5Wdu3b1dqaqrS0tL0/fffq6ioSAEBAQoNDVXHjh3Vp08f3XXXXRo+fLhbAyfGjRunYcOGaeXKlXrvvfd07NgxZWZmKiwsTDfccINGjRqlRx55RO3btzdt6yi1K2/nulr9bupL3s51Chk6tUkGIqyC6xXPD63CLZWPscrnkwEBAVfVqbUmWrdurSeeeEIvvPCC0/KUlBQNGTJES5cutZxytj5NmTLFFLadPXu2RowYUR5y2Lp1qz788EOndUJDQ02B3MmTJysyMlKTJk2y/DkuXbqkxMREHThwwPRY5a6GISEhuv/++7VmzZryZXa7XdOnT3fqJjZ37lynTp2SNHToUFNgs2/fvhrTJVB3trigtiHmKe/P5JboiY/PyW4xAUCXyLqbscdRcFFZ659RZPzyJns+Z/V+tWPHDu3atctpAGnF9fz9/RUTE1PecXPHjh2W4SJ3gmm18aMf/cjUXXrbtm16/PHHTetWPE73799fL2Fbq657FYOSFVUMd5W58cYba/SeHBgYqFdeeUVbtmxxCkaXnXNVnEGhtrVZbV+m8OsU/ePZn+mRpO+UX+J80I3uFqJXRrZWszqcqchRcFEXlk9R5JSlCuhavx3M61tsbKxTcF36oYumv7+/KeRXdhwOGjRImzZtknSli2bZ4IiGDPnl5eU5DaAo4+r/SlRUlGla+Yq2bdumIUOG1Komq+nkK3fJLGPV7bnsM0nlbvDuuOmmm7Rs2TINHz68Xmqz2t5dGaserdH69otnVXDgIxUc+Ei2iHYKHjhewQPGNckZFKozaNAgU1AzJSXFqTtoxeMqLCxMjzzySHnY1uFwaOfOnU6DghryOFy1apVpgIRhGFq7dm21gyTKBAYGuuyyXFM5OTmWP79Vd9077rjD9Pl78+bNprBtdb799lvTssjISNNMJ59++qnpNat3796m0Lufn58GDx7s1F26bMBwxdlYPvjgA9PzWh3/d9xxh1PYVrryc9YkbOuqs21UVJSWLl1qOocHUD3CtgCsELYFrmGGj03BA8cr54OXPV2KSfDAB5rkTR2gJvw63NKou0v7XV91R6qgoCA99dRTmjZtml599VX98Y9/VE5Ojtq2bev2BRjAU5q1cX1zpzHxje6skKgovfjii3r88cc1b948LV++vNqwZXR0tCIjG3+QsT6UdUK+mhBvSUlJeUfdhgwQN8R+G1t3ZL86vEFan/75jw01DtpKV6be8xQfHx+XYdyGCvw2lu9tNhszXrhgz81o1IO+JMmefUb2S5lON2JLSkq0du1azZ8/X19//bXLbT19cXvGjBmaMWNGjbbp3r27aaraq5GYmFijm21V8fX11X333af77ruvTvZXG2Uz2kyaNOmqto+IiNDYsWM1duzYOq7syg3Yp59+2imI5I7Co5/LnnW62vWeGBSpJwY17HmdPeuUCo9+Xm136YpKSkq0a9cude3a1bKLWkOpKrguWQcUWrVqpc6dO+vYsWOW2/Tr189lUL4uJSYmas+ePfrkk0+clu/evVsxMTHq2bOn+vbtq7CwMOXk5OjAgQOmAQd16eGHH9Zrr73mNH3vV199pZ49e2rkyJHKzMzU5s2bTa9dc+bMMU0Tn5ubq7fffluLFi1S27ZtFRMTo+joaDkcDp0+fVrbt2+3vPkfFhame++917R89uzZ2rhxo1Mo5M0339SBAwfUv39/HTlyxNTV1mazaeHChaZ9nUz7RrO/ytccSTdF+Kp7S39FBNpUUFKqUzmXtedUgWXQ9kftAnRjRN3+vyg88qnyv3xXwf2a5rS9LVu2VJcuXZy6S1+4cMEUgK98HMbFxZWHbU+ePGnZXbq6Y7u2RowYYQrbfvDBBzpx4oRuuummen1uK3379pVhGE7H17lz55SdnW0K7x05csS0/dUMEDAMQ7169XIK20rSiRMnnL636tJ/9OhRy33WpLaiE1/ozacn6Lfvp6u40kEXHxOu526PqpcguqOkUBmrExQ1bXWT7nDr5+enfv36OYXTiouL9cUXXyguLs4pbGuz2TRgwABJV46tsrBtXl6eUlNTFRMTYzmlfX0dh5UHRpSp/F7SkKzCv64GYvn6mgdqSFcGklxN2PbEiROaNm2a5s2bpwceeKDOayvrzN3Q7FmnlPPBy8rdtkLh98xUUL8xTXZwiZW4uDhT2HbHjh1OYduy9zpJuvXWW3XbbbeZ1i8L2zocDu3atcvpcZvNpltvvbWOK7/i44/NTSl++tOfmgY9NZR///vfpnPMNm3aWN536t69u+X27rh8+bLOnDmj5ORk/e53vzM9/stf/tK0bN++faZlrkLG3bt3dwrbVq7tu+++s5wlxWp/Vj/nwa8OKCv5DfnYCyV7iWTzlY9fsJq16SS/9r1kC3H+HGl1HeX+++/XkiVLPPoZDmjKCNsCsELYFrjGBQ8Yp9xtK+QosB7N5glGYKiCB9T9DTCgsQnqP6ZRh22D+rt3cyc0NFTPPvusHnvsMX388ccaNGgQHyjQ6Pm17+XpEtziW6HO6Ohovf7663ryySc1Z84cvfnmm04f5Cvy5insK3ZCbohQRFPhcDgaVTj4loJUye56OvDGomXraEnferqMGiktLVVxcbGKi4s9XUqjYhhG+Y08q78rft25c2cFBQV5PCxcH9+XhY+L0w9a/JYan5L0g7J1G6zCwkKtXr1aCxYs0HfffVftdt78PoimI39vkqdLqFL+3iS3wrYFBQVatWqVXnzxRZ08eVJt27bVd99957HjsFu3bmrRooXlTWvJdTewuLg4l2HbhuoubbPZtGHDBk2cONFyCttDhw7p0KFDDVKLdOW19K233tKQIUOcOgimp6drxYoVltvcfffdTp26rJw+fVqnT1cfNLfZbHrjjTdM3cQkqUOHDlq+fLkmTpzoNKhs3759lgEISZo/f74p5Ge/lClHyZUukA5J32SV6Jus6meRaBFo04vDrafsrq3sd+cqoNvtTbbr36BBg5zCtpKcwrPR0dGm7sJxcXFOU1dbhW3r+ziMj4/X3LlznUJsdrtdEydOVHJysgICAur1+SsLDQ3VbbfdZuounZycbOo6l5ycbNr+zjvvdPq+rFtpdQ4fNn9GCwwMdPr+9ttvV1BQkNPv6uDBgzp37pxTV7/i4mJT6N0wDKeujeX1XTyrVx67T7M+/o9KK4Xbp98Wqcd+VL/Hg6OkUBdWPqo2T22WLax+ju2GEBcXZ+oEmZKSYgrb9urVSyEhIeXbVLRjxw7FxMQ0aEdNV00bPBUKlaw7wroa+O5quauwcHR0tH77299KkoqKipSenq7t27c7hY7T0tI0YcIEpaen68knn6zT2twJMdsvnlXpJdfdg2vDUZCjrHXTVZD6kSLGzmnSx1xFVmH0isfRN99849QFfNCgQeratauioqJ04cIFSXI6Tg8fPqysrCyn/VU8duva3r17TcuGDRtWL8/ljuPHj5uWVe4cW8YqJJqWlqbS0lLLAdi7du1yq2P++PHjNXPmzDqvreL2VvsKCwuTv7+/aXnLKPMAzKLiEh1Z9wddH2Yd+reFtZFfh1sU1H+MAroN1pkzZ8ofCw4O1qpVqzRu3DjLbQG4h7AtACvcnQCucbbmLRR+z0xlrZvu6VLKhY+e1WQvKAM1EdBtsGwR7WTPqvvp5mrLFtFOAd0G12ibyMhIPfjgg/VUEVC3bCGRsoW1adRd/Wzh0Zbvhx06dNCKFSv09NNPKzExUevWrTON9CdkhMoMwygP2zUGudtW6uLmxh+2nTDp5wr/r9/qhRdeMHV4qsrKlSsVEBBQbVDZ6vur2aauvr+WORwOt7uG1uTfuilq1qyZpvWL0PRB4Z4upVr5/zms/+/Vv+qdd94x3WisyqlTp1RaWuqyw3NZ8Pha6qSEpqf4u/2eLqFKxSer7piam5urZcuW6Y9//KNTcOD06dM6c+aMrrvuuvou0ZJhGBo4cKBpKlnpynT1Vh0ZpSsBicrdN8s0VNhWkkJCQpSUlKSlS5dq3rx5Sk9Pd3vbdu3aafLkyerTp+pZamqiV69e2rp1qyZMmGAZwitjGIbi4+O1ZMmSOukq37lzZy1evFgjRoxwuc5DDz0kX19fJSQkuAxXS1eCBAsWLNBjjz1meixv9zu6ErN1323XB+oPd7TSDeH1M7DPUZCjvN3rFTpsWr3sv75ZHUsVzzOtwi2Vj7HK56UBAQFX1am1Jlq3bq0nnnhCL7zwgtPylJQUDRkyREuXLlXfvn3rtYbKpkyZYgrbzp49WyNGjFBoaKgkaevWrfrwww+d1gkNDTUFcidPnqzIyEhNmjTJ8ue4dOmSEhMTdeDAAdNjlbsahoSE6P7779eaNWvKl9ntdk2fPl2rVq0qP7+aO3euqWPp0KFDTWFrh8Oh30+6S/M/Oum0vJmPtGB4a43rGWqqqT44Ci4qa/0zioxf3mTPEa3er1JSUpSTk+P0GadiKLBfv37y9/dXUVFR+frjxo0zBcCsgvJ1pXnz5goMDFRBQYHT8rS0NMv1H3300fIg7oYNG3TqVN1fW7cKAFfspl7dcsMwyo/Tyjp06KBXX33VaVlBQYFmzJihRYsWOS2fPn26xowZo44dO9ZZbdXNSFeU9qUurHxUjpLCKterrcIjn+rswrsUFb+sSXeVLhMbG+t0LEnSl19+qaKiIvn7+5u6RZcdr4MGDSrvLr1nz57ywRENGXjPy8uz7JjcqZP1zHBRUVFOA7Eq27Ztm4YMGVKrmi5evGhaFhwcbLmuVQDd4XAoJyfnqrpL33TTTVq2bJmGDx9eL7VV3N6dfdkvZSpv9zvK+dffLJ8jt8j1bGb2i2dVcOAjFRz4SLaIdpp/73Ad2bdLPsEReu+999S+fXuX2wJwD2FbAFYax51YAPUqqN8YFaR+pMIjn3q6FAX0GKqg2NGeLgNoEIaPTcEDxyvng5c9XYpJ8MAHZPjwoQDXNr8OtzTq7tJ+11d9k7xLly7661//qhkzZujZZ58t737VokWLBu+6A9RUszbWF+wbG7/oLho/dLDGjRunf/7zn3rmmWfcCmLef//9Lm+sNVYOh0OlpaUeDQCXlJSUL6+L/aWmplpOSV0dm83msnP4teDy5cvyM5rGz7d88SIt32Q9LXFV3J1a0yqI6yqcey0vJ3jc8Oy5GY160Jck2bPPyH4p0zT4KzMzU6+//roWLVrkMgTv6cE9cXFxlmHb2NhYlzMfVDU1dkOGbcskJCRo6tSp2rRpk7Zs2aKdO3fq7NmzyszMlGEYCgkJUXR0tLp27aq+fftq+PDhio2NrZOga2W9e/dWamqq1q5dq40bN2r//v06f/68AgIC1LZtWw0dOlSTJ09W//79Xe5j9erVSk5O1vbt25Wamqq0tDR9//33KioqUkBAgEJDQ9WxY0f16dNHd911l4YPH+7W/6Nx48Zp2LBhWrlypd577z0dO3ZMmZmZCgsL0w033KBRo0bpkUcesQwSOErtytu5Th8/fL0++zZf+84U6usLRTqde1k5RaW6XOpQoK+PwgN8dGOEn25p46+RnZqrd+v6/6yVt3OdQoZObZLXZaqbZt7qeGrVqpU6d+7ssrt0v379GmTWksTERO3Zs0effPKJ0/Ldu3crJiZGPXv2VN++fRUWFqacnBwdOHBAqalVD0yojYcfflivvfaa9u/fX77sq6++Us+ePTVy5EhlZmZq8+bNpgFlc+bMMXWuzM3N1dtvv61Fixapbdu2iomJUXR0tBwOh06fPq3t27dbnjeHhYXp3nvvNS2fPXu2Nm7c6BTke/PNN3XgwAH1799fR44cMXW1tdlsWrhwoWlfS37/S83/55em5V0j/XX4fJESz39v/QuSNOmWMN0YUXf/NwqPfKr8L99VcD/3ZvtqbKyOrx07dmjXrl1OXcArrufv76+YmJjy6e137NhhGfJzpwtkbfzoRz/SZ5995rRs27Ztevzxx03rVgzF79+/v17CtlYhw4qDiyo6f/68admNN95Yo/fkwMBAvfLKK9qyZYvTNQe73a6NGzfq6aefrrPaXAUoJanw6xRlrE6o96BtGUfBRV1YPkWRU5YqoGvV7x+NnZ+fn/r16+d0/BQXF+uLL74wdZe22WwaMGCApCvvm2Vh27y8PKWmpiomJsYUzi1btz5UHhhRxp0uyPXFKvzr6tzQ19e6q+ulS5euKmx74sQJTZs2TfPmzdMDDzxQ57VV7Npd1b4cDofyv0hS9rtz5SjMlY+LAeR5Ja7DthXZs06p2e439cG4KIXfM1NB7dq5tR2AqhG2BWCFsC3gBQzDUMTY2Tq78L/lKDCPomuwOgLDFHH/bG7ywasEDxin3G0r5CioeRCkvhiBoQoeMNbTZQD1Lqj/mEYdtg3q797NnZtvvllJSUnau3evNmzYoFGjRvGhHo2eX/teni7BLb7/V6dhGBo9erTuvvtu/f3vf9dzzz3nMgwgeT5kdDUMw5DNZuP1o4Ky8HFdh4s91bm44vfto/MlNYFuxvbi+t293S673e7Ufchb1Sa062rdL7/8UllZWeWf8Q3DcPra1bJp06YpMjKyxs9XFzXXR1DRSnF60+igXZJ+ULb/m/Hk3Llzevnll/WnP/2p2mmdPf0+OGPGDM2YMaNG23Tv3t3tDuhVSUxMVGJiYq33I125OX/ffffpvvvuq5P91UazZs00adIkTZo06aq2j4iI0NixYzV2bN1fa4iMjNTTTz/tFERyR+HRz2XPOq32ob56qHeYHupddae/hmTPOqXCo58rsMdQt9a/ePGilixZovXr12vUqFGaO3duPVfoWrdu3dSiRQuX3YZdhdfj4uJcnl83VODdZrNpw4YNmjhxYvlg1ooOHTqkQ4cONUgt0pXj7q233tKQIUOcOgimp6drxYoVltvcfffd+tWvflXlfk+fPq3Tp09X+/w2m01vvPGGWrSwnnFn+fLlmjhxolOIc9++fdq3b5/l/ubPn2/qUGy/lKkTn79ruf6h74t06Puqz9F+2im4TsO2kpT97lwFdLu9Sc6817JlS3Xp0kX/7//9v/JlFy5cMHWbrnxMxcXFlYdtT548qfXr15v2XV8hvzIjRowwhW0/+OADnThxQjfddFO9PreVvn37yjAMp3ODc+fOKTs72xTeO3LkiGn7q+nGbRiGevXqZRrge+LECafvrbr0Hz1qPUCxJrUVnfiiQYO2ZRwlhcpYnaCoaaubfIfbuLg4U1g9JSXFFLbt1auXQkJCyrepaMeOHYqJiWnQzrauuh1Xd85fn6w6wpaUlFiu62q5q7BwdHS0fvvb30qSioqKlJ6eru3btzuFjtPS0jRhwgSlp6frySefrNPaKtblal/2i2eVtf5ZpyZZJXbrzyrBvjX7DOsoyFHWuukqSP1IEWPnyBbWukbbA3BW8Vy4oa4pAWj8mt4dQgBXxRbWRlHxy3Rh+ZQG/zAtSYZfoKLil3FSD69ja95C4ffMVNa66Z4upVz46FlN8oIyUFMB3QbLFtFO9qy674BRW7aIdgr4v2CDu/r3719lNymgMbGFRMoW1qZRd/WzhUeb3g99fHw0YcIEjR07Vn/5y180e/ZsnTx50rStp0NGqBs+Pj7y8/NrkE5qDe3ix68p95PFni6jWg9NnKKPcv9X27dvd7p4XZ2xY8fKMIwqQ8e1WV6TWpqKsp+vMfBkSEwyB4/rI/T746AzGtEEJiIoOXNM54Nu0MKFC7VixQoVFrp3vYj3QTQF+XuTPF1ClfL3JlUbtr1w4YJeffVVLV68uHwa4tTUVD399NPVThNeXwzD0MCBAy27S/v7+1uGxKQrYaPKgcAyDdldOiQkRElJSVq6dKnmzZun9PR0t7dt166dJk+erD59qp6lpiZ69eqlrVu3asKECTp8+LDL9QzDUHx8vJYsWVInN/k7d+6sxYsXa8SIES7Xeeihh+Tr66uEhASX4WrpynTYCxYs0GOPPWZ6LG/3O9Ll+h1cVVOOghzl7V6v0GHTPF3KVRk0aJBT2FaSU3g2OjpaN954o9PjcXFxeumllyzXr7jf+hQfH6+5c+c6dXm02+2aOHGikpOTG3wGp9DQUN12223617/+5bQ8OTlZ999/v2lZZXfeeafT93a73a2BrVbHeWBgoNP3t99+u4KCgpx+VwcPHtS5c+fUuvUP99eKi4tNHaYNw9CoUaNMz2G/eFYXVjV80LaMo6RQF1Y+qjZPbW7S9witjpOUlBTl5OQ4hagrBmz79esnf3//8gGgKSkpGjdunI4fP+60H6tjt640b95cgYGBKigocFqelpZmuf6jjz5aHsTdsGFDvXSXtjqPqdhNvbrlhmG4nHGqQ4cOevXVV52WFRQUaMaMGVq0aJHT8unTp2vMmDHq2LFjndVWcXvLfeXmWDbHyi+xDtuG+F/d+37hkU91duFdiopf1uSD7oAn0dkWgBWujAJexP/GWEVOWdrgo1cNv0BFTvkTJ/PwWkH9xqgg9SOnUaqeEtBjqIJiR3u6DKBBGD42BQ8cr5wPXvZ0KSbBAx9oklOGAjXh1+GWRt1d2u961zfJmzVrpvj4eP3sZz/Tn//8Z82dO1dnz14JDgcGBhIyQqPn4xfs6RLcEtEyWp999pm++eYbPf/883r77bfd6jy5Zs2aer0hX1paWm0H4aa4vKSkxK2fq2yZq+49TV1DBI8jBrbQiIGR9focdeG9pPV66PWpNd7uzjvvVEBAgFshZHfDyp5Yz8fHh9mXrmHF3+33dAlVKj6Z6vKx06dP66WXXtLy5ctN0w87HA6Pvz7HxcVZhm1jY2NdDmKqqmtmQ4ZtyyQkJGjq1KnatGmTtmzZop07d+rs2bPKzMyUYRgKCQlRdHS0unbtqr59+2r48OGKjY2tl25WvXv3VmpqqtauXauNGzdq//79On/+vAICAtS2bVsNHTpUkydPrnLw7erVq5WcnKzt27crNTVVaWlp+v7771VUVKSAgACFhoaqY8eO6tOnj+666y4NHz7crc8048aN07Bhw7Ry5Uq99957OnbsmDIzMxUWFqYbbrhBo0aN0iOPPKL27dubtnWU2pW3c12tfjf1JW/nOoUMndokr8tYBdcrntcMHDjQtE3lY6zyeVBAQMBVdWqtidatW+uJJ57QCy+84LQ8JSVFQ4YM0dKlS9W3b996raGyKVOmmMK2s2fP1ogRI8pDfFu3btWHH37otE5oaKgpkDt58mRFRkZq0qRJlj/HpUuXlJiYqAMHDpge69mzp9P3ISEhuv/++7VmzZryZXa7XdOnT9eqVavKz13mzp3r1KlTkoYOHWoKbDocDmWtf9ajs15KkqPgorLWP6PI+OVN9vzL6v1qx44d2rVrl9OAzYrr+fv7KyYmpry79I4dOyy72lodu3XpRz/6kam79LZt2/T444+b1q14nO7fv79ewradOnUyLTt37pzluufPnzctu/HGG2v0nhwYGKhXXnlFW7ZscQpG2+12bdy40WkGhdrWVnF7q33lXMpTQW6WApo5159RYDet628z1Dbk6q9BOgou6sLyKYqcslQBXeu3gzlwrSJsC8AKdwgBLxPQNU5R01brwspHG+TDtREYxqg5eD3DMBQxdrblaNUGrSMwTBH3z26yF7OAqxE8YJxyt62QoyDH06WUMwJDFTyg7qdXBRqboP5jGnXYNqj/mGrX8ff3169+9Sv9/Oc/1+LFi/WPf/xDP/vZz5gyCo1eszbmGzqNkW90Z0lSx44dtWbNGk2fPl3PPfecNmzYUOV29R149/HxkY+Pj3x9fev1eZqC0tLSqwr41kVIuDHto6bBNj+fpvGZ6+tDX13VdmVhgWtBYw4D19X6Va1rs9muyfMae25Go55hQZLs2Wdkv5TpNNNCWlqaFixYoNWrV6u42HU3UE8P/JoxY4ZmzJhRo226d+/u1oCa6iQmJioxMbHW+5EkX19f3XfffbrvvvvqZH+10axZM02aNEmTJk26qu0jIiI0duxYjR1b99caIiMj9fTTTzsFkdxRePRz2bNO64lBkXpiUOMagGLPOqXCo59X2126opycHH366afq37+/oqOj67G6qlUVXJesw4CtWrVS586ddezYMctt+vXr1yCzfSQmJmrPnj365JNPnJbv3r1bMTEx6tmzp/r27auwsDDl5OTowIEDSk11PTChth5++GG99tpr2r9/f/myr776Sj179tTIkSOVmZmpzZs3m1675syZY5q+Pjc3V2+//bYWLVqktm3bKiYmRtHR0XI4HDp9+rS2b9+unBzztcmwsDDde++9puWzZ8/Wxo0bnbpmvvnmmzpw4ID69++vI0eOmLra2mw2LVy40LSv/C+S9OEH7+uzb50Hb2QXmmfzSNz2vdP3fdr4a0x36+6hV6PwyKfK//JdBfer/npMY9SyZUt16dLFqbv0hQsXTAH4ysdhXFxc+fnzyZMnLbtLV3ds19aIESNMYdsPPvhAJ06c0E033VSvz22lb9++MgzD6fg6d+6csrOzFR4e7rTukSNHTNtfzQABwzDUq1cvp7CtJJ04ccLpe6su/UePHrXcZ3W1dejQQZGRkcrIyHBa55vMEvVs5e+07FiG+dyva5SfmtXys6WjpFAZqxMUNW019+qBq0DYFoAVwraAF/K/MVZtnnpPWeufrddOmwHdhyhi7JwmPS0MUFdsYW0UFb9MF5ZP8ch0TYZfoKLil3E8wuvYmrdQ+D0zlbVuuqdLKRc+epZp6nrgWhTQbbBsEe1kz6r7Dhi1ZYtop4Bug91ePygo6KpuMAOe4te+l6dLcItvpTp79Oih9evXa9++fXrmmWf0wQcfWG7Hxe2G4+PjIz8/vwYJYDR2FYPH1QV2m+19W9r/jqdLrtaAuB+r2ecb673Tb2PWEJ2OGzsfH586D/F6et3AswcU4ulfrBtK0g/K1m2wjh49qj/84Q9au3at081cVzwdtgXckb83ydMlVCl/b5JbYduMjAwtWrRIr7/+urKzs3XDDTfom2++8dhAhW7duqlFixbKzMy0fNxVp+i4uDiXYduG6i5ts9m0YcMGTZw4Ue+++67p8UOHDunQoUMNUot05bX0rbfe0pAhQ5yCcOnp6VqxYoXlNnfffbd+9atfVbnf06dP6/Tp09U+v81m0xtvvKEWLczXCDt06KDly5dr4sSJTh1T9+3bp3379lnub/78+aYAov1SprLfnat/nynUyn9nV1tT5XXu7xFSp2FbScp+d64Cut3eZK+NDho0yClsK8kpPBsdHW3qLhwXF6eXXnrJcv2K+61P8fHxmjt3rlPHfLvdrokTJyo5ObleZ46xEhoaqttuu83UXTo5OdnUOTo5Odm0/Z133un0vd1ud+s6weHDh03LAgMDnb6//fbbFRQU5PS7OnjwoM6dO6fWrX+4v1ZcXGwKvRuGoVGjRjktGzVqlN566y2nZf86mW8K224/6RyIl6RhN9bNrEWOkkJdWPmo2jy1mXuEQA0RtgVghasygJeyhbVRZPxy5X+RpOx358pRmFtn+zYCQxU+epaCYkfTQROowP/GWEVOWaqM1QkNGrg1/AIVOeVPjFqF1wrqN0YFqR/V6wATdwX0GKqg2NGeLgNoEIaPTcEDxyvng5c9XYpJ8MAHmuSUoYC7bCGRsoW1adRd/Wzh0S5vsMbExOj9999XSkqKfv/73+vTTz/9YTubjc+Z8IiaBI9zz9yoi/vrv6ba+vHQ4brwu+V65ZVX9PLLLys3171rQ4WFhabwcXUh5GttvWtJaWmpiouLq+yk2tRMiw3X729v6ekyqnVi71Y9MO5X+uqrmnWZfv/99xUUFFSjbsjVhZavxQ7H8Kzi7/Z7uoQqFZ+sumPqmTNn9Mc//lHLli1z6i767bff6tKlSwoNrdsAorsMw9DAgQP1/vvvmx7z9/e37MgoXQn7Ve6+WaahwraSFBISoqSkJC1dulTz5s1Tenq629u2a9dOkydPVp8+feqsnl69emnr1q2aMGGCZQivjGEYio+P15IlS+rk9bJz585avHixRowY4XKdhx56SL6+vkpISHAZrpak4OBgLViwQI899pjpsbzd79Tpvb+64CjIUd7u9QodNs3TpVwVq2Op4rnhwIEDTdtUPsYqn0sGBARcVafWmmjdurWeeOIJvfDCC07LU1JSNGTIEC1dulR9+/at1xoqmzJliilsO3v2bI0YMaL8NXbr1q368MMPndYJDQ01BXInT56syMhITZo0yfLnuHTpkhITE3XgwAHTYz179nT6PiQkRPfff7/WrFlTvsxut2v69OlatWpV+fWIuXPnKjs722nboUOHmsLWkydPNoVt//xllkZ3C1Gb5leiOl9fKNL6Q87dr22GdH/PunuvcRRcVNb6ZxQZv5xrKkANELYFYIWwLeDFDMNQcP97FdB9iPJ2r1feznW16jxmi2in4IEPKHjA2CY7KhWobwFd4xQ1bbUurHxUjoKL9f58RmCYouKXEbSFVzMMQxFjZ+vswv9ukOPOZR2BYYq4fzYXs+BVggeMU+62FXIUmKdL9BQjMFTBA+p+elWgsfHrcIsKDnzk6TJc8ru++pvkcXFx2rp1q7Zu3apZs2Zp9+7djWKqZ6A6zdp08nQJbvGN7qyAsDAlJibqV7/6lV588UUtXrxYBQUFLrcxDEP+/v4uH/cGDoejPGxck/BuSUmJW+u7u8/Vq1fr5MmTNa7/tttuk6+vb63rqNhpr7EJ8msawdG1b67QV1/V/FrsAw88UOe1VOxwfDVdhhvDn9rU6+Pjw2f1OmTPzWjUg74kyZ59RvZLmab7GN9++61efPFFrVq1SkVFRZbb+vr6NkSJLsXFxVmGbWNjY10OCqpqivqGDNuWSUhI0NSpU7Vp0yZt2bJFO3fu1NmzZ5WZmSnDMBQSEqLo6Gh17dpVffv21fDhwxUbG1svAwN69+6t1NRUrV27Vhs3btT+/ft1/vx5BQQEqG3btho6dKgmT56s/v37u9zH6tWrlZycrO3btys1NVVpaWn6/vvvVVRUpICAAIWGhqpjx47q06eP7rrrLg0fPtytLuXjxo3TsGHDtHLlSr333ns6duyYMjMzFRYWphtuuEGjRo3SI488ovbt25u2dZTalbdzXa1+N/Ulb+c6hQyd2iQHQVd1LEnWx1OrVq3UuXNnl92l+/Xr1yAziSQmJmrPnj365JNPnJbv3r1bMTEx6tmzp/r27auwsDDl5OTowIEDSk2temBCbTz88MN67bXXtH///vJlX331lXr27KmRI0cqMzNTmzdvlsPhcNpuzpw5at68udOy3Nxcvf3221q0aJHatm2rmJgYRUdHy+Fw6PTp09q+fbtycszXJsPCwnTvvfeals+ePVsbN250Gmzx5ptv6sCBA+rfv7+OHDli6mprs9m0cOFC074GhGTrjpuClXzih32dz7Nr+JrvNLxjsErs0iffXFLBZeefc0rfcF0fVrfvN4VHPlX+l+8quN+YOt0vcC0jbAvAiuGofIYCwGs5Su0qPPq58vcmqfhkquzZZ6rdxhYeLb/r+yio/xgFdBvcJD8cA55gv3hWWeufrddOmwHdhyhi7BymhQH+T1Hal7qwfEqDdpYuY/gFKuoXqwi+wyvl7f2HstZN93QZ5SImLOCiMrxCweFtyljZeLsFRcYvd2vq3jIOh0Pnz59Xy5Yt6b6HRs+em6EzieauVo1N9PO7TCGjM2fOaO7cuXrjjTdUUlJi2sbX1/ea6oCKq1daWloeyHU3INxQ6/7Y52vd5lfzIHJD++sx6X/esw7eoOHVNKD7n//8R3l5eeUhXcMwXH5dcdk999yj8PBwj4eTKweV6zJsXHDkM2WseKTO9ldfoh5ZoYBugyVJR48e1fz58/X22287hSqslJSUuBWUBDzpWvo8mJ+frz//+c/atGmTxo8fr1/84hf1XJ1rDodDUVFRLrsN79ixw7K77ZQpU1x2l3766ae1YMECt54/MTFRzz//vNOy22+/3Wk2mKrk5uZq4sSJevfdd91a38q2bds0ZMiQq96+ooMHD2rIkCHKyMhwa/27775bSUlJpmsCo0eP1j//+c8aPbfNZtNf//pXjRs3zvLxtWvXauLEiW4PMFu4cKGefPJJp2X2S5k6+4fhOnMhS/f9PV0nL5o/X1np2yZA68a2U5Bv3V/7MAJD1Wb6JzTNAtw0adKk8k7XR48eVdeuXT1cEYDGgE+DAMoZPjYF9hha/gHXnpuhklOHVHLmmBzF+XLYi2XY/GT4Bck3urN82/fiZBy4SrawNoqMX678L5KU/e7cOp3OyQgMVfjoWQqKHU1XDqAC/xtjFTllqTJWJzRo4NbwC1TklD8RtIXXCuo3RgWpH9XrABN3BfQYqqDY0Z4uA2gQAd0GyxbRrlazl9QXW0S78mCDuwzDUOvWDCJD02ALiZQtrE2j7upnC4+2vKYTHR2txYsX68knn9Ts2bP1l7/8xekGM+EilPHx8ZGPj4/HOzxaufjxa8r9ZLGny6jW1Ed/qbOdTmr16tWmaYhd8fHx0R/+8Ae3Q8j1/eda6uVS9jPVt7/85S/1/hxXo6wzcF10NP5p1EXdG+Xpn6h6JWeO6XB+c/3hD3/Qxo0b3f7/TFczNAX5e5M8XUKV8vcmVRu2vXjxopYsWaJXXnlFFy5ckCTt2rVL8fHxHjsODcPQwIEDLbtL+/v7KzbW+vpvXFycy7BtQ3aXDgkJUVJSkpYuXap58+YpPT3d7W3btWunyZMnq0+f6mepcVevXr20detWTZgwQYcPH3a5nmEYio+P15IlS+pk8G3nzp21ePFijRgxwuU6Dz30kHx9fZWQkOAyXC1JwcHBWrBggR577DHTY3m735GjMFdtmjfTO2Pb6VcfnNUXp6u+LzG8Y7BeHdm6XoK2kuQoyFHe7vUKHdZ4w/hAY0JnWwBWuDoKwCVbSKRs3QbX+CYoAPcYhqHg/vcqoPsQ5e1er7yd62oVhrBFtFPwwAcUPGAsQXjAhYCucYqatloXVj4qR8HFen8+IzBMUfHLCNrCqxmGoYixs3V24X83yHHnso7AMEXcP5uBKPAaho9NwQPHK+eDlz1diknwwAeYFQXXPL8Ot6jgwEeeLsMlv+urvkl+ww03aNWqVfqf//kfPffcc/r73/8uSbrxxhsbojygVnz8gj1dglt8A0P08ssva/bs2Xr99df14osvVhu69fX11dNPP90wBbqhYofjpvCnLmstKiry9K+/Ttnt9mo7urqr68AWUlRkneyrPr29+s/65Vu7a7xd3759LUPGvr6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nz1ZcXFwdZ1615ORkzZ8/3/Y8UUFBgQoKCnTs2DFt3LhRCxYsUHBwsJYuXaoxY8bU61wOHDig8ePHmypMFxcXe1/rF198UbGxsVqyZEmV569KSko0ffp0JSUlmY6zWVlZysrK0tq1a7Vo0SKtWLFCYWFhVc4tNTVVcXFxplB+Tk6OcnJylJmZqUWLFum5557T9OnTa/W8V65cqXXr1tVqGwAAAAAAAABAw6Gy7Q9Q9+7d1bp1a9v77YJCVQX5GipcVJnT6dSqVat0//33W97/8ccf6+9//7tefPFFLV++vEGDtlJ5lbzly5ebqmqdPn1ar776qt566y3TEqo///nP9atf/cpyvCeeeEJ33323oe3y5ct666239Oqrr5qCtm3btlVycrKcTnOo5/rrr9dLL73krdxZYe/evXrppZdMQVtJWrhwoSnk5z6fp4J//sF7+9PcEq395Lxe339Obx0ptAzaDr6uqRb+tJ2pvb4UvL3gql5i22p/8Q3PdujQwVRduPL+ZxW2bej9MCYmxhRgc7vdmjhxooqLixv0sa20bNnSFMKSpC1bttSorfK+VnmJ7dqMNWTIEG8wUyoPAFV+rQ4dOmQK6ZaUlJj2RYfDYZpL5cqbeRfdOl9irmB2ymJ/bNLIYWr7NjyXi3U28VG5z1lX6L1a2FX2c7lcOnTokLfNd5/r37+/AgICDP1zcnJ0/PhxwzhW+259ad68uZo2bWpqr7zUeoVHH33UW1WuY8eODTInq0Bf5VBPVe0Oh8MbRPJd8v7bjuc7n7rOrboqpZdOfqjP/+/d+vu2Q4Z2h6Rf9A2sctvaKD6yTWcW3aNLJz+stzG/S9UtY//ZZ58Z3icjIiJ00003Gar5+Yb9Dh8+rPz8fMN4vkH5+mZVEc+qyuuVUvk9SJKpcmyFdu3Mn8tOnjzprXhZWlpquuCktuP5zqeuc6u8vVWlzdGjR+vJJ5/Uzp075XK5VFJSotOnT2vVqlW65557NPKmYH369K3KfXWqzq3/gwrfXaLCtJdU+O4SnVv/B+W+OlVfx9+mr+cNUe7rj+vi4XR5ytymx/mhCA0NNb3Wx48fN1XYrxyo9a1Ce+TIEdM+dyUvPMnOztYf//hHU3vv3r21c+dO26CtJPXo0UMJCQn6/PPPNW7cuHqbU+XVB6TyAKvvcW3EiBGmz3Yul8v0eX7lypWmi2iio6O9QVup/Hg5Z84c02MmJiYabhcWFmrVqlWGNqfTqYULF3qDtpL0zDPPKCjIuBpJenq67ecLfHvVHQN9WQXbq2q3GqfyeYj6VFRUpHHjxmnSpEm2QVs7ubm5pkBsXR06dEjDhw+vdlyPx6NXXnlFY8aMsawGLZX/fTt69GglJiZWu8JAxeNaXTxZISUlRQ8//LApaFtZUVGRHnvsMcv3ODv5+fl6/PHHa9wfAAAAAAAAANDwCNv+ADkcDtvl5gMCAiwrMkrfj7CtVF4Bds2aNfrrX/9qWkazOh07dtQzzzyj3r1719t8wsLCtHXrVsPyplYcDodiY2OVmppqCsBWcDqdWr16tX7xi18YvgSt6nGtKpVVeOSRR7RixYoqw9WS1KxZMy1ZssRQVbdC0a6V8hQXWmxl5u90aGq/QL0+qqOa+Tfc24fnoktFu8xh06uF1b7kWxHMav+svI9VriDWpEkTU1C6vrVv315PPvmkqX3Hjh0aNmxYjZecrU9Tpkwxtc2bN08ul8t7e+vWrdq4caOhT8uWLfXggw8a2saMGWOqZrlx40Zt3brVe9vlcikhIcH0mDExMYbbLVq0MI3vdrs1a9Ysw5e2CxYsUEFBgaHfHXfcYQpshoaGGm57JP3+32flLvvPWJdKy/TcDvOXuF0D66/quOfiOeWnPntVL21vdbzKyMjQzp07DV+6+/YLCAgw7F8ZGRmWoQa7Y2t9ufXWW01t6enpln3nz5+vxYsXa/Hixabfn/piNW7lQHmFymEuSeratav3eNioUSPLpaZrM57vfOo6t6pes+JPdujsS1O05qPTyrtoDObdfv01Cm1dv5X+PRfP6exLU1T8iXUg52rSr18/Q3BdMlbRrBwiqtgPfffHzMxMuf9/NeErGfIrKirShQsXTO12vytt2rSpcknubdu21XlO586dM7X5Vsn0ZVXt2ePxeI+XvsfNbzue73zqOrfK23/zzTemPl988YXleBW2fJqnX/7za8Ox0or73BldPLBJuYnTdOb3P5Ur7W9X9UVdVbG74MTudqtWrTR16lTvbY/HY6g+bbW93ePUh6SkJNMFEg6HQykpKdVeJFGhadOmtlWWa8vlclk+f6vQr1Xb+vXrDbc3bNhg6jNy5EhTm1XIf/v27Sos/M/fbNu2bTO9Z91yyy2m0Lu/v7+GDBliaPN4PJbVgys7ePCg/vznP2vWrFn67W9/qz//+c96//33GzTkeTWryf4nSZcuXbKsDi5Zh20vXLhgqq7csmVLRUVFeS+8qvzjG6Kv0LFjR9v+vuc63G63HnroIb355puWc+zcubMefPBBxcXFacqUKYqOjlZISIhl3/pQWlqqCRMmmMKsnTp1UmxsrEaNGmWqYrtu3TotWbLEcrzFixebfv8bN26sUaNGKTY21nQO6ptvvtHEiRMtw7tZWVmaNm2a6b7w8HBNmzbNtO9J0qxZs2r8d/XMmTNtP98CAAAAAAAAAL4bjb7rCaBhREZGWn6B1q9fP9vl9L4vYdsKcXFxio2N1bp165SWlqYPPvhAZ86cUV5enhwOh1q0aKEOHTropptuUt++fTVy5Ej169fPNuhaF7fccov279+vlJQUrV69Wvv27VNOTo6aNGmia6+9VnfccYcmT56sAQMGVDtWQECAEhMTNW3aNL3++utKT0/XV1995V0at0+fPnrggQf0yCOPqFGj6nfRsWPHasSIEUpMTNQ///lPHTt2THl5eWrVqpW6dOmi6OhoTZ061TK47Clzq+iDNxXgdOiNBzoq44sL2v1lsc6cL1XeRbcuuT0KauKn6wIba+j1zTTq5haWy9g3hKIP3lSLO2Ll8KvbUt3fhar2Jcl6f2rXrp1uvPFG28pB/fv3r3IpzPoSHx+vzMxMvfvuu4b2Xbt2KTw8XD179lTfvn3VqlUruVwuHThwoEErTE+YMEF/+ctfDF8wHzx4UD179lRUVJTy8vK0fv16Uzg0ISHBFKxt0aKF4uPjDaHzsrIyRUVF6d5771Xr1q21adMmU4Xp/v37a/z48aa5zZs3T6tXrzaEQl577TUdOHBAAwYM0JEjR0xVbZ1OpxYtWmQa656B3U1foi/ff04Zpy6ob4cmKvNImV9e1GlXqWnbu7s1N7XVRfGRbbrw4dtq1n9U9Z2/h9q2batu3brp008/9badPXtWr732mqFf5f0wMjLSGzA6deqUZXXp6vbturrzzjv13nvvGdo2bNigEydO6IYbbmjQx7bSt29fORwOw/6VnZ2tgoICBQYGGvpaVfyqfIFAv379TJU1jx49qqioKENbfn6+KVjgcDjUp08fw1iVHT161PJ51GRuFS6d2KPcZXHyXC7Wax+Zw4Qx9VjV1pfncrFyl8WpzbRlCuhqfVHU1cDf31/9+/c3hItKSkq0Z88eRUZGGkJETqfTGwaKjIz0LpFcVFSk/fv3Kzw83DJ01FD7YeULIypUPpZcSVbhX7vPhpUrpFc4f/68AgMDLceq7Xi+FTnrOrfK1T3tXn+Hw6ERA3urzcUvtO/LQh09awz5vX/qolI/dunhXjULYrrzv5Rrw/MqTH9VgffN1jX9R1V7AdzVJDIyUm+//bahLSMjQ6NG/eeY7humHTRokGkVgYyMDG+VVo/Ho507dxrudzqdGjRoUD3PvNzmzZtNbXfddZd69uzZII9XnY8++sj0GTMkJMQy+Gt1gWTlQJ1VwNIqGBwUFKSQkBCdOXPG2+bxeLRv3z7dfvvttRqrYm5r166tcm5Wnn/+ecv2kJAQzZw5U7/5zW/kKcpXyelDKj1zXGUlRZL7suRsLD//ZmoUEir/TmFytgi2HOeHxur4ZHUc870IpSb9MzMzTRdiDho0SN26ddPixYstx4mPj9euXbsMbaGhobb9fSUkJFieS+revbteeOEF2wrThw8f1ooVK/Tyyy9X+xi1sXz5ctPfSb169dL777/vrTCdlpamkSNHGvbXZ599VjExMYYLQQoLCxUfH28Yy8/PT5s2bfJWmHa5XBo8eLAOHjzo7bNnzx6lpKRowoQJhm3nzJljukBg8uTJSkpK8h5b5s6dq3nz5nnvd7vdmjlzptLS0qp83unp6YbK2sHBwdVWz/2xKygoUOvWrQ2/B4GBgd5ziJWtWbNGo0ePNrQFBwfr7NmzluOnpqZq7NixhrbOnTtXe3FQTS1btkyTJ0+2vK+srEybN29WWlqaMjIydPr0aeXl5enSpUtq3ry52rZtq9DQUIWHh2vo0KEaNmyY7WfDuiotLdUbb7yh1atXa//+/crOzvaeGx0+fLgmTpxYo3OjFXbv3q3k5GRt3brVe260ffv26tOnj0aPHq3x48fX6NyoJOXl5XnPjR4/fly5ubkKDAz0nhuNiYmpsqhDWVmZ3nvvPWVmZiozM1PHjx9XXl6ecnNzVVpaqubNm6tz584KCwtTdHS0HnzwQdOFhgAAAAAAAPjhI2z7A/X000/r6aefrtU2N998c71UM4yPjzd9gfFtNW7cWA888IAeeOCBehmvLho1aqRJkyZp0qRJ9TLerbfealnF8NsIDg7WU089paeeeqpW2xUf3S53/ldyOBy6/fprdPv15spj3xV3/pcqPrpdTXvcUeNtsrKytGvXLv3sZz9rsCWma6J79+5q3bq18vKsq6bZhdcjIyNtw7ZXKvDudDq1atUqTZw40RTWkKSPP/643pcFrUqjRo20fPlyDRs2zPDl4unTp/Xqq69abvPzn/9cv/rVryzve+KJJ5Senm74Avny5ct66623LPu3bdtWycnJcjrNoe/rr79eL730kqnS0d69e22rVS1cuNAU8nOfz9OEFkf098DG+rzgsuG+z/Iv67N8Y5uviM5NdU89h20lqeDtBWrSfaiczauumv19FRERYQjbSjKEZzt06GCqLhwZGWlY1tUqbNvQ+2FMTIwWLFhgCLG53W5NnDhRW7ZsUZMmTRr08Str2bKlBg8erH//+9+G9i1btpgqO2/ZssW0/d133224HR0drdWrV5u2e+KJJ6oda8iQIYb39aFDh+qaa64xvFaHDh1Sdna2oapfSUmJKfTucDhMy31L5dUvzyaVB213nb6oj78xBmFuCGqsO7o23HHSc7lYZxMfVcj/rJezVfvqN/ieioyMtKykWTlsGxYW5v03rRxQysjIUHh4+BWtqGlXNbNyKPRKsqoIe/my9THBrr0iLGw1Vm3H8w0e13VulUPM/v7+pjCZJL3yy+G6q9kpSa1V5gnSbzZl660jxhUZUg6eq3HYtoLnokv5b87Sxf2bFDQm4are53xVt4z9Z599ZriYISIiQjfddJPatGnjDRf57qeHDx9Wfn6+YTzffbe+7d6929RmVeX1Sjl+/LiprXLl2Art2rUztZ08eVJlZWXy8/NTaWmp6YKT6sbzDdtWzKcibFvXuVltX1NnzpzRzJkz9c7fFujVu4Pl76w6sO5sFSL/6/vomgGj1KT7kKvyYsqaCA0NVbt27QwV9Y8fP66cnBzDv0HlQO3AgQO9wdgjR44oPz9fQUFB3vuv5LEwOzvb8Hm4Qu/evfXee+9VWWG6R48eSkhI0OzZs3Xq1Kl6m5Nv4LTC3LlzvUFbqfx9Ijo62vA3nsvlUmpqqiG8uHLlStNxPTo62hu0lco//86ZM0djxowx9EtMTDSEbQsLC7Vq1SpDH6fTqYULFxqCnc8884xeeOEFw3tpenq6Tp48afp7pMLFixf1y1/+0nv75ptv1n333aeFCxda9ke5wMBA9ejRw3C+oqCgQIcPH7a8aMNq38rNzdUnn3xiefGCVf/Zs2crLi6ujjOvWnJysubPn297rqigoEAFBQU6duyYNm7cqAULFig4OFhLly41/R7X1YEDBzR+/HjTOaHi4mLva/3iiy8qNjZWS5YsqfKC8ZKSEk2fPl1JSUmmc9FZWVnKysrS2rVrtWjRIq1YsUJhYWFVzi01NVVxcXGmUHpOTo5ycnKUmZmpRYsW6bnnntP06dMtx3C5XIb3g8ry8/OVn5+vAwcO6I033tDs2bO1YsWK76RABQAAAAAAAL47DbcOPIDvvQu713zXU6hSTef3ySefaPLkyfrJT36ihx56SP/1X//VwDOrmsPhsF1uPiAgwLIio/T9qS7dokULrVmzRn/961+rrPphpWPHjnrmmWfUu3fveptPWFiYtm7dalje1IrD4VBsbKxSU1NtK1w7nU6tXr1av/jFL6qtZFfxuFaVyio88sgjWrFihVq3rjqU2qxZMy1ZssRQVbdC0a6VuqbsglaO6agBHWseprynW3Ml3Xdtg1Tk81x0qWiXOWx6tbDal3xDXFb7Z+V9rHLoq0mTJrbVUOtL+/bt9eSTT5rad+zYoWHDhtV4ydn6NGXKFFPbvHnzDEvSb926VRs3bjT0admypSmQO2bMGFPAbuPGjdq6dav3tsvlUkJCgukxY2JiDLdbtGhhGt/tdmvWrFmGL2sXLFhgqph5xx13mMINHo9H+alz5LlYXs122UfGbSRpcp/ABq+A6bl4Tvmpz9bLxU/fFbtltF0ulw4dOuRt891P+/fvb6gKtWPHDuXk5JjCYFZB+frSvHlzNW3a1NR+8uRJy/6PPvqod/ntjh07NsicrEJNlSvoVdXucDi8YSTfUNK3Hc93PnWdW+XtrebXrU2T/x+0LefncOg3t5mPtweyL6nE/e32meIj23Rm0T26dPLDb7X9902/fv1MFdZ8q2hWDvlV7K+++21mZqbcbrekKxvyKyoqsqyYHBoaatm/TZs2cjgctj/btm2r85zOnTNXOPetkunLKoDu8Xi8x0vf4+a3Hc93PnWdm9X2tZV+PF+/2/ZNtf3c587o4oFNyk2cpjO//6lcaX+T+7z1RYlXO7tjoN3tVq1aaerUqd7bHo/HUH3aanu7x6kPSUlJpvdsh8OhlJSUKoO2vpo2bWpbZbm2XC6X5fO3qq5r1bZ+/XrD7Q0bNpj6jBw50tRmFfLfvn27Cgv/c7HHtm3bTO9Zt9xyiyn07u/vryFDhhjaPB6PZfXgCvHx8d7PQA6HQ6+++irVM2uouotOfFlVkq6q3WqckpISi571o6ioSOPGjdOkSZNsg7Z2cnNz6/0i6UOHDmn48OHVjuvxePTKK69ozJgxhouSfbndbo0ePVqJiYnV/t1T8bhWq5VUSElJ0cMPP1xt9eeioiI99thjlhcVfBunTp3SnXfeqc8++6xexgMAAAAAAMDVgcq2wI9YSda+73oKVSo5tb/K+w8cOKDf//73WrlypeEE/eHDhxt6atWKjIy0/AKtX79+ttU9vi9h2wpxcXGKjY3VunXrlJaWpg8++EBnzpzxLsPYokULdejQQTfddJP69u2rkSNHql+/frZB17q45ZZbtH//fqWkpGj16tXat2+fcnJyvMsV3nHHHZo8eXKNlisMCAhQYmKipk2bptdff13p6ene5QrbtWunPn366IEHHtAjjzxSo+UKx44dqxEjRniXKzx27Jjy8vLUqlUr73KFU6dOtQwue8rcKvrgTUlShxaNtXpsJ/371AVt+PS8DmRf0heuyyoqKSt/vf391CWwsfp0aKJR3Vuod0jDVjkt+uBNtbgj9qqsPlbdMvNW+1O7du1044032n6R2b9//yor89SX+Ph4ZWZm6t133zW079q1S+Hh4erZs6f69u2rVq1ayeVy6cCBA9q/v+r3yrqYMGGC/vKXvxiW7z148KB69uypqKgo5eXlaf369aYvSRMSEkzB2hYtWig+Pt4QOi8rK1NUVJTuvfdetW7dWps2bdLp06cN2/Xv31/jx483zW3evHlavXq1IRTy2muv6cCBAxowYICOHDliqmrrdDq1aNEi01gX9qxR8ZFtkqSvCi9r82fGqmct/P00pqd1WLG+FR/Zpgsfvq1m/UdV3/l7yGr/ysjI0M6dOw1fuPv2CwgIUHh4uDdglJGRYRlosLuQpb7ceuuteu+99wxt6enp+s1vfmPqO3/+fO//79u3T19++WW9z8cqZOhbldSXbyXFCl27dvUekxs1aqQuXbqYKmvWZjzf+dR1bpW3v/76601VPG8ItKgq36qx/J0OQ7i2zCPlX3SrffNv96et5+I5nX1pioKnLFWTm6o+fnzf+fv7q3///ob9p6SkRHv27DFVl3Y6nRo4cKCk8uPmunXrJJUHUfbv36/w8HDLwFF1x9hvq/KFERUqH0uuJKvwr91nQ7vlus+fP6/AwEDLsWo7nm9FzrrOzapqt8Ph0K233qoHHnhAQ4YMUffu3RUQEKDD/3xFqX/9g5ZkfK2iy8bjfcqBc5raL1BdAmv2Gcmd/6VcG55XYfqrCrxvtq7pP6rBL2S5kiIjI02rg2RkZGjUqP8c033DtIMGDdLgwYNN/Ssq8Hs8Hu3cudNwv9Pp1KBBg+p55uU2b95sarvrrrssq4JeCR999JHpM2ZISIhl8NfqAsnKF6pZrT5iFQwOCgpSSEiI4bjk8Xi0b98+b3Xpmo5VMbe1a9dWObcK+/bt0/PPP++9PX36dEVERJj+NqjgLsxVyelDKj1zXGUlRZL7suRsLD//ZmoUEir/TmFytgi23PaHKCIiQi+//LKhbceOHYZKwZJ06dIl29VoMjIyTBccXrhwwfD3kFR+oVBUVJRmzJhhOc7OnTu9VasrdOzY0XTBYAXfi4vdbrceeugh21B2586dNXDgQLVt21bFxcXKzs7W3r17TZ+l6ktpaakmTJhgCrN26tRJUVFRys3N1TvvvGMIH69bt05LlizR448/bhpv8eLFpufWuHFj3XPPPQoODjb9TfjNN99o4sSJ2rVrl+l8U1ZWlqZNm2YK9oaHh9v+TThr1iyNGDFCffv2tXy+DodD3bt3V48ePdS2bVtvdfpt27aZLsotKirS888/rxdffNFyrB+TgoICtW7d2vC+HRgY6D2HWNmaNWs0evRoQ1twcLB3tYXKUlNTNXbsWENb586d9cUXX9TD7KVly5YZqqH7Kisr0+bNm5WWlqaMjAydPn1aeXl5unTpkpo3b662bdsqNDRU4eHhGjp0qIYNG2b72bCuSktL9cYbb2j16tXav3+/srOzvedGhw8frokTJ9bo3GiF3bt3Kzk5WVu3bvWeG23fvr369Omj0aNHa/z48TU6NypJeXl53nOjx48fV25urgIDA73nRmNiYqot6pCTk6MtW7Zo586dOnjwoE6cOKHc3FwVFxerRYsW6ty5s2699VY98sgjuuOOmq+GBwAAAABAfSJsC/xIuQtz5T7XMCfi64u74Gu5z+eZlrLPzMzUggULvKGAymp6ErAhPf3003r66adrtc3NN99cL9UM4+PjFR8fX+dxpPIvPB544AE98MAD9TJeXTRq1EiTJk3SpEmT6mW8W2+9Vbfeemu9jBUcHKynnnpKTz31VK22Kz66Xe78r7y3HQ6HhlzfTEOut65MdiW5879U8dHtatqj5ievL126pH379qlXr162S5ZfCd27d1fr1q2Vl2ddNc0uvB4ZGWkbtr1SgXen06lVq1Zp4sSJprCGJH388cf1XqWoKo0aNdLy5cs1bNgww5erp0+f1quvvmq5zc9//nP96le/srzviSeeUHp6uuHL1cuXL+utt96y7N+2bVslJyfL6bQI3V1/vV566SVNnDjR8OXq3r17bb88X7hwoalCsft8ngreXuC9nbz/nEorFWEa27OlmvtfuQUhCt5eoCbdh5qOf1eDtm3bqlu3bvr000+9bWfPntVrr71m6Fd5n4qMjPQGkE6dOqXUVHN17YYK+VW48847TWHbDRs26MSJE7rhhhsa9LGt9O3bVw6Hw/DZIDs7WwUFBQoMDDT0tar2Vfl3vV+/fqaw7dGjRxUVFWVoy8/PNwVnHQ6H+vTpYxirsqNHj1o+j5rOrXIgpTauaVy3sJ7ncrFyl8WpzbRlCuhqvQLB1SIyMtKykmblsG1YWJhatGjh3cZXRkaGwsPDr2hFTbuqmVah0CvF6rPM5cuXLfvatVeEhe0+F9VmPN/gcV3nZhVifuONN9ShQwfvbfe5M8pPeUrtj2zTr/o10+0dO+n+N78wHCPdHmnz8SJN61+7C5I8F13Kf3OWLu7fpKAxCXK2al/9RleB6qpqfvbZZ4b314iICN10001q06aNN1zku58ePnxY+fn5hvF89936tnv3blObVZXXK6VyhXtJpsqxFdq1a2dqO3nypMrKyuTn5+cNy9VmvMrBxePHj3vDtnWdm9X2brdbsbGx3jBf586d9X//7/+1HFOSCtb+X3198Pe291dwtgqR//V9dM2AUWrSfchVeTFlTVntg1YXjvhWfa9J/8zMTFPIctCgQerWrZsWL15sOU58fLzps01oaKhtf18JCQmWQdvu3bvrhRdesKzkLJW/Z6xYscIUOK6r5cuXm8LGvXr10vvvv+9dnSAtLU0jR440fG599tlnFRMTY6i8XlhYaDpf5efnp02bNmn48OGSyqtaDx48WAcPHvT22bNnj1JSUjRhwgTDtnPmzDFV5J48ebKSkpK8Ac+5c+dq3rx53vvdbrdmzpyptLQ0w3YBAQF69dVXdf/99ys42BxSP3XqlH7605+azhlUvijixyowMFA9evQwnK8oKCjQ4cOHLS/asPqcmZubq08++cTy4gWr/rNnz1ZcXFwdZ1615ORkzZ8/3/ZcUUFBgQoKCnTs2DFt3LhRCxYsUHBwsJYuXaoxY8bU61wOHDig8ePHm84JFRcXe1/rF198UbGxsVqyZEmVF4yXlJRo+vTpSkpKMp2LzsrKUlZWltauXatFixZpxYoVCgsLq3JuqampiouLM4Xyc3JylJOTo8zMTC1atEjPPfecpk+fbjlGUlKSYmNjbc+NV7zWBw8eVGJiokaOHKnly5fbHn8BAAAAAGgoVy41AHwHJk6cqO7du9f6pyGqk33flJw+VH2n74HLPvPcvn277rzzTg0cONA2aCvJMpQFfB9d2L3mu55ClWo6vwsXLujPf/6zfvKTn2jQoEGWy7FeSQ6Hw7YCZkBAgGVITPr+VJdu0aKF1qxZo7/+9a/VVv2orGPHjnrmmWfUu3fveptPWFiYtm7daqi2ZMXhcCg2Nlapqam2Fa6dTqdWr16tX/ziF9VWsqt4XKtKZRUeeeQRrVixQq1bVx1KbdasmZYsWWKoqluhaNdKeYrLlwUuLi3TioPGpb79HNLkvjVbOrm+eC66VLTLHDa9WljtL77h2Q4dOqhr166G+yvvf1Zh24beD2NiYkwBNrfbrYkTJ6q4uLhBH9tKy5YtTRUPJWnLli01arv77rsNtysqJX6bsYYMGWIIdw0dOtT0Wh06dMgU0i0pKTFVE3M4HKa53HXXXabHPJFvDghmnbtsqGorScFNnWoRUPfPfp7LxTqb+Kjc56wr9F4t7Jaxd7lcOnToP5+rffe5/v37G5Yo37Fjh3JyckxhMKt9t740b95cTZs2NbWfPHnSsv+jjz6qGTNmaMaMGerYsWODzMkqAFw50FNVu8Ph8IaQKv5bl/F851PXuVlt7xu0vXTyQ51ZdK+36rsk9Q5pohFdzReEHcqxDqzVRPGRbTqz6B5dOvnhtx7j+6Rfv36GfUkyhvoqh/gq9lff/TYzM1Nut1uSdbCooY6FRUVFlhWTrSqZS1KbNm3kcDhsf7Zt21bnOZ07d87U5hva82UVQPd4PHK5yj/XVfy3LuP5zqeuc7Pa/k9/+pM+/PA/+8LSpUu9x96ykoum/mUXzWNYcZ87o4sHNik3cZrO/P6ncqX9Te7z1hclXu1CQ0NN4ebjx4+bquxX3hcrKr1L5RcJVQ65X8l9MTs7W3/84x9N7b1799bOnTttg7ZSeXXchIQEff755xo3bly9zSkpKcnUNnfuXMOxbcSIEabPdy6Xy/SZfuXKlaYLaaKjo71BW6n8mDlnzhzTYyYmJhpuFxYWatWqVYY2p9OphQsXGv7WfOaZZxQUFGTol56ebvqM0bRpU8XExFgGbSXpuuuuM1VJluwvdvkxqu6iE19Wwfaq2q3G8a2mXN+Kioo0btw4TZo0yTZoayc3N7feL5I+dOiQhg8fXu24Ho9Hr7zyisaMGWOq+FzB7XZr9OjRSkxMrLboQ8XjWl1AWSElJUUPP/ywKWhbWVFRkR577DHL9zip/D2jNkUo/vWvf2nEiBG2n4EBAAAAAGgohG3xg3bq1Cl98skntf75MZwoLT1jrqTyfVTy9afasGGDhgwZoqFDh+pf//pXtdt8HyrbAjVRkrXvu55ClUpO7a/yfpfLpYULF6pLly564oknvBcqZGRk1EuV5rqwC87269fPtrrH9yVsWyEuLk4nTpzQqlWrFBcXpz59+igkJET+/v4KCAhQmzZt1KtXLz344INasGCBMjMzderUKc2fP9/0ZWJd3XLLLdq/f79ee+013XvvvercubMCAgLUqlUr3XzzzZo+fbp27dqlV155pcrqKVJ54DkxMVE7d+7U9OnTdfPNN6tVq1YKCAhQ586dde+99+q1117TRx99VG31FEkaO3asPv30U/3hD3/Q4MGD1b59ezVu3Fht2rRR//79NWfOHB09elSPPfaYaVtPmVtFH7zpvb32aKHyLroNfYZ3bVbj5bHrU9EHb8pT5q6+4/eQ1b7kWw3MKgxfeR+rXD2sSZMmpmqo9a19+/Z68sknTe07duzQsGHDbJd8bkiVlzGWpHnz5hlCQ1u3btXGjRsNfVq2bGlapnjMmDGmapYbN27U1q1bvbddLpcSEhJMjxkTE2O43aJFC9P4brdbs2bNMrz/L1iwQAUFBYZ+d9xxhymw+bOf/UztWhmDlp/mlmj9p4Xe22UejxZ/YA4H3dG1/iqpey6eU37qs9/5MawurI5XGRkZ2rlzp+ELd99+AQEBhv0rIyPDMtBgdyFLfbFacSA9Pd2y7/z587V48WItXrzYNgxYV1bjVg6UV6gc5JKkrl27ei8+adSokbp06VKn8XznU9e5VfWaFX+yQ2dfmiKPRZAvNNh8PKx83Kwtz8VzOvvSFBV/Yh3GuZr4+/urf//+hraSkhLt2bNHkjFA5HQ6vQE/3+NmUVGR9u/fb+pfoaGqvFd+r65gVQX5SrEK/9r9rW+3XHdFqM9qrNqO5xsQrOvcKocNT5w4oblz53pvP/zww7r77rvl8XhUtPstnf93suXYteXO/1KuDc/rzMI7VbT7rav6eGfH7qITu9utWrXS1KlTvbc9Ho93tQW77e0epz4kJSWZgmMOh0MpKSm2VeAra9q0qWVl0G/D5XJZPn+r0K9V2/r16w23N2zYYOpjdbGuVVXt7du3q7DwP58Nt23bZtoXb7nlFlOVS39/fw0ZMsTQ5vF4LKsHV8eqQna3bt1qPc4PVU32P6l8VSS71Wisjn0XLlwwVVdu2bKloqKivBdfVf7xDdFX6Nixo21/34uL3W63HnroIb355pumMaTyyuMPPvig4uLiNGXKFEVHRyskJMSyb30oLS3VhAkTTGHWTp06KTY2VqNGjTKdh1m3bp2WLFliOd7ixYtNv/+NGzfWqFGjFBsba7ro+5tvvjGtKFQhKytL06ZNM90XHh6uadOmmfY9SZo1a1aN/rbu2rWrHn74YU2dOlVDhw61vGD7448/1sKFC6sdCwAAAACA+kQiDfiRKiu5Oq76XrxooeZu/KxW2xw9elQ9evSQ0+lUo0aNvP/1/f/a/rcu216px7erJInvJ3dhrtznzlTf8TvkLvha7vN5pqXs8/Ly9Oc//1l/+ctfLL+Y9/Pzq7ZqaUN7+umn9fTTT9dqm5tvvrlevnCOj483LY35bTVu3FgPPPCAHnjggXoZry4aNWqkSZMmadKkSfUy3q233moZrPo2goOD9dRTT+mpp56q1XbFR7fLnf+V9/ZDYa30UNiVrWJrx53/pYqPblfTHnfUaruSkhI5nc7vtMp7dUEgqy9h27VrpxtvvNG2alD//v2rDXLXh/j4eGVmZurdd981tO/atUvh4eHq2bOn+vbtq1atWsnlcunAgQPeUFRDmDBhgv7yl78Yvlw+ePCgevbsqaioKOXl5Wn9+vWm966EhARTQKpFixaKj483VHguKytTVFSU7r33XrVu3VqbNm3S6dOnDdv1799f48ePN81t3rx5Wr16tSEQ8tprr+nAgQMaMGCAjhw5Yqpq63Q6tWjRItNYJfv+qf8zqKX+e7Oxct9j75zRmwdd6tCikfadKdbRs8bqVU6HNH1A1ZWta6v4yDZd+PBtNes/ql7HvVLatm2rbt266dNPP/W2nT17Vq+99pqhX+X9MDIy0hsuOnXqlGV16YYK+VW488479d577xnaNmzYoBMnTuiGG25o0Me20rdvXzkcDsP+lZ2drYKCAgUGBhr6WlX7qnyBQL9+/UwhnaNHjyoqKsrQlp+fbwrOOhwO9enTxzBWZUePHrV8HjWZW4VLJ/Yod1mcPJetq3mfKzaHLK5pXPfPfJ7LxcpdFqc205YpoKv1CgRXi8jISMtgX2RkpCFAFBYW5q1aWnnfysjIUHh4+BUN+NmF+CqHQq8kq4qwdhdG27VXHAutxqrteL7H1brOrfIx+tFHH/WGBoODg/WXv/xF7nNnlJ86p7zCdGn9Vm/0XHQp/81Zurh/k4LGJMjZ6oezBHdkZKTefvttQ1tGRoZGjfrPcd03TDto0CDTSgIZGRneKq0ej0c7d+403O90OjVo0KB6nnm5zZs3m9ruuusu9ezZs0EerzofffSR6XNmSEiI5XuG1YoklQN1VgFLq2BwUFCQQkJCdObMf86ZeDwe7du3T7fffnutxqqY29q1a6ucm51Lly7pxIkTWrFihf7617+a7o+5O1KF6Ynl51ndlyVnY/n5N1OjkFD5dwqTs4V1pdwfIqvPilbhWd+q7zXpn5mZaboYc9CgQerWrZsWL15sOU58fLx27dplaAsNDbXt7yshIcEyjN29e3e98MILthWmDx8+rBUrVujll1+u9jFqY/ny5aawca9evfT+++97K0ynpaVp5MiRhv312WefVUxMjKHyemFhoel8lZ+fnzZt2uStMO1yuTR48GAdPHjQ22fPnj1KSUnRhAkTDNvOmTPHdIHA5MmTlZSU5D0vOHfuXM2bN897v9vt1syZM5WWlmZ6rn5+fho3bpyefPJJ0+fVHTt26Gc/+5khdC9Jf//73y0vGP2xKSgoUOvWrQ2/A4GBgcrLy7M8R7tmzRqNHj3a0BYcHKyzZ89ajp+amqqxY8ca2jp37qwvvviiHmYvLVu2TJMnT7a8r6ysTJs3b1ZaWpoyMjJ0+vRp5eXl6dKlS2revLnatm2r0NBQhYeHa+jQoRo2bJjthVh1VVpaqjfeeEOrV6/W/v37lZ2drSZNmujaa6/V8OHDNXHiRA0YMKDG4+3evVvJycnaunWrvvrqKxUXF6t9+/bq06ePRo8erfHjx9e4sExeXp4SExP1z3/+U8ePH1dubq4CAwPVpUsXRUdHKyYmptoV1IqLi/XRRx9p165d3h+r1WZ+iBdsAQAAALVB2BY/aPWxdOEPlvvqqN57wVVQ620uXbpU5fJWP2TfRci3qm3XrFmjr74qD7JVnNir6r8V///73/9e7du3r9c5Op3O7zwA6qvk9KHqO30PXD59SM7u5ZUozpw5o+eff15Lly6t8ot3qkvjanFh95rvegpVurB7TY3Dtvv379fvf/97rVq1SgMHDtSOHTu+s/e87t27q3Xr1srLs16i2C4oFBkZaRu2vVLVpZ1Op1atWqWJEyeaghpSeeWc+l4StCqNGjXS8uXLNWzYMEMlo9OnT+vVV1+13ObnP/+5fvWrX1ne98QTTyg9Pd3w5fHly5f11ltvWfZv27atkpOTLcPb119/vV566SVTlaO9e/faVqpauHCh6UtT9/k8Fby9QGN7ttS/sy7o7aO+1Wyl97KsqxFK0txhbXWjRaXNuip4e4GadB9qutjkahEREWEI20oyhGc7dOhgqi4cGRlpWNLVKmzb0PthTEyMFixYYKhS53a7NXHiRG3ZskVNmjRp0MevrGXLlho8eLD+/e9/G9q3bNliquy8ZcsW0/Z333234XZ0dLRWr15t2u6JJ56odqwhQ4Z4g5mSNHToUF1zzTWG1+rQoUPKzs42VPQrKSkxhd4dDodpqe9t27apx/XtdDnJPmh7qbRMW0+aL9i8rlX9fJHtuVyss4mPKuR/1l/VwT+7qn4ul0uHDv3n879vIKl///4KCAjwBo927NihsWPH6vhx42o0VvtufWnevLmaNm2qixeNFz1YfbkulYdDK/4eWLVqlXeFi/pkFeazWyraqt3hcHhDSL7L3X/b8XznU9e5+W7/j3/8w7CCz5/+9Ce1PH9KZxIftawwXZ+Kj2zTmUX3qE3M3676oHuF6pax/+yzzwwXNEREROimm25SmzZtvAEj37Df4cOHlZ+fbxjPNyxf33bv3m1qs6ryeqVUfh+SZKocW6Fdu3amtpMnT6qsrEx+fn4qLS21rAxb1Xi+YduK+VSEbes6N6vtKyxcuLDai3f9HNLTt7dRr0NLda6K0zvOViHyv76PrhkwSk26D5HD77u7KLKhhYaGql27doaq+sePH1dOTo7h36ByoHbgwIHeYOyRI0eUn59vWK3nSl58kp2dbfhMXKF379567733qqww3aNHDyUkJGj27Nk6depUvc0pKSnJ1DZ37lzDsW3EiBGKjo42/J3ncrmUmppqCDCuXLnSdD4vOjraG7SVyo+Zc+bM0ZgxYwz9EhMTDWHbwsJCrVq1ytDH6XRq4cKFhnMRzzzzjF544QXDe2l6erpOnjxp+FzTq1cv7dmzR3379rV8HSIjI/W73/3OtBrN559/rsLCwgZ7X75aBAYGqkePHobzFQUFBTp8+LDlBRtW+1Vubq4++eQTywsXrPrPnj1bcXFxdZx51ZKTkzV//nzbc0UFBQUqKCjQsWPHtHHjRi1YsEDBwcFaunSp6Xe4rg4cOKDx48ebzgkVFxd7X+sXX3xRsbGxWrJkSZUXjJeUlGj69OlKSkoyBVezsrKUlZWltWvXatGiRVqxYkW1K3+lpqYqLi7OVAE7JydHOTk5yszM1KJFi/Tcc89p+vTptuPExcWZLtQFAAAAYEYaBvixcjbM1b31rXvYLfL74D3LparsOJ1ONWvWTKWlpSotLZXb7ZbbfXUuxV1bFc/ZrkLE1aK+KmdW5ufn961DxPW9TR/3p2qYWjj16/LXx/RNs6567rnn9Oqrr6q42DqA4YuwLa4WJVn7vuspVKnkVPUVU3fu3KkFCxYYlmj94IMPdOLECf3kJz9pyOnZcjgcuu222yyrAQUEBFhWZJTKvzyzO6l/pcK2UnkF2DVr1mjp0qX6/e9/b6r0WpWOHTtq8uTJ6t27d73NJywsTFu3btW4ceN0+PBh234Oh0MxMTF68cUXbavdO51OrV69WtOnT9eyZcuqrEYSFhamFStWWFYpq/DII4+ocePGiouLsw1XS1KzZs30hz/8QY899pjpvqJdK+UpLg/YLo5qr+CmTr22r0DuKgqlXNPYoXl3tG2wStSeiy4V7UpVyxHTGmT8hma1L/lWA7vttttM21TexypXD2vSpIltNdT60r59ez355JOaP3++oX3Hjh0aNmyYli5davvle0OZMmWKKWw7b9483Xnnnd6Aw9atW7Vx40ZDn5YtW5oCuWPGjNGMGTMMAYeNGzdq69athkpiVpW5YmJiDLdbtGihBx98UMnJ/1la3u12a9asWYZKYgsWLDCtQnDHHXeYAptr1qzR/a/+TRN7NdN/3dJK17Yw/q34TVGpZm3J0VeFxt8LSRrRtZmp7dvyXDyn/NRnFRzz0vfqIrnasDpeZWRkaOfOnYa/aX37BQQEKDw83FttMyMjwzLQYLXv1qdbb73VVF06PT1dv/nNb0x9fffTffv2NUjYNjQ01NRWuepzBd9gV4WuXbt6j4eNGjVSly5dTEG/2oznO5+6zs13e98LhZs1a6ZdW/6p9/78G6nsP+cw9n5t/hvs7aOFOpxT/nf/Q2EtdXPbAMvHr47n4jmdfWmKgqcsVZObGraC+ZXQr18/Q3hd+k8VzYCAAFPIr2JfjIiI0Lp16ySVV9F0u91yOp1XNORXVFRkuIiigtXvmyS1adPGFKrxlZ6ermHDhtVpTufOmQPfvlUyfVlVfPZ4PHK5XAoMDJTL5bLcrjbj+c6nrnOz2r6mbr/+GsUPa6NuwdXvd+5zZ3TxwCZdPLBJzqCOanbbQ2o2cOxVe1FXdSIiIkwXLe7YscNQXdp3v2rVqpWmTp3qDdt6PB598MEHhguDruR+mJSUZLpIwuFwKCUlpcqgra+mTZvaVlmuLZfLZfn8rarr/vSnPzX9Db5+/XpD2HbDhg2m7UaOHGlqswr5b9++3RBq3bZtm+k965ZbbjGF3v39/TVkyBBDdWmPx6N33nnHcJFoTS4sGDp0qGX7xYsXf/RhW6n878DKQdAdO3ZYhm2tqkhXtNc0bFtSUr+V930VFRUpNjZWb775Zq23zc3N1ccff1yvYdtDhw5p+PDhVR53pfLf7VdeeUXZ2dlas2aN5bkZt9ut0aNHW54zs3vc9957z/bcTEpKiukiaCtFRUV67LHHdOHCBcOKR5XnDwAAAKB6pGGAHyk///r7UrQhPfDQI4qKf0MLFy7U0qVLa3QSJyIiwlTByePxqKyszBu+rcl/a9O3Ica40tv+GE6mlJWVqaSkpEFPBtbUb25rrUG3ff+XE1z15t/1i5dja7XNpUuXFBUVZRs4ri6QXF9t9TWOn5/fVRv4gD13Ya7c585U3/E75C74Wu7zeaYvYj0ej9577z3Nnz/fculFSd/572xkZKTlFwf9+vWzre5R1RL1VzJsWyEuLk6xsbFat26d0tLS9MEHH+jMmTPeZRhbtGihDh066KabblLfvn01cuRI9evXzzboWhe33HKL9u/fr5SUFK1evVr79u1TTk6Od7nCO+64Q5MnT67RcoUBAQFKTEzUtGnT9Prrrys9Pd27XGG7du3Up08fPfDAA3rkkUdqdPHE2LFjNWLECO9yhceOHVNeXp5atWrlXa5w6tSplssVesrcKvrgP1+eOf0cir+jrR4Ka6mVH7v076wLOnO+VBcul6lVE6dCW/tryPXX6JFbWql104atClb0wZtqcUfsVVl9rKp9SbLen9q1a6cbb7zRtmJQ//79q6zMU1/i4+OVmZmpd99919C+a9cuhYeHq2fPnurbt69atWoll8ulAwcOaP/+6i9M+LYmTJigv/zlL4alew8ePKiePXsqKipKeXl5Wr9+velzdEJCgmmZ+BYtWig+Pt7wxWZZWZmioqJ07733qnXr1tq0aZMp4N+/f3+NHz/eNLd58+Zp9erVhkDIa6+9pgMHDmjAgAE6cuSI6W8ip9OpRYsWmcYqzflM5y6U6IVdJVqyK1/dgv3Vo22Amvk79MW5Un34dbHOl5i/vB3QsYkirjMHmOqi+Mg2XfjwbTXrP6r6zt9Dbdu2Vbdu3QzVpc+ePWsKwFfeDyMjI71h21OnTllWl65u366rO++80xS23bBhg06cOKEbbrihQR/bSt++feVwOAz7V3Z2tgoKChQYGGjoa7WyTeULBPr162cK2x49elRRUVGGtvz8fFNw1uFwqE+fPoaxKjt69Kjl86jJ3CoUFRXpxWTzv72Vf2dd0L//f/X3QZ2bfuuwrVReWTp3WZzaTFt21Ve49ff3V//+/Q2hoJKSEu3Zs0eRkZGGcJHT6dTAgQMlle9fFWHboqIi7d+/X+Hh4ZZhpIbaFytfHFGh8vHkSrIK/9p9PrRbsvv8+fMKDAy0HKu24/lesFLXuVW1Wk91/p11QU+9m6MFI9qpZ7ua73vu/C/l2vC8CtNfVeB9s3VN/1Hf+d9t9S0yMtIUts3IyDCEbSuOd5I0aNAgDR482NS/Imzr8Xi0c+dOw/1Op1ODBjXM5eubN282td11112WYcUr4aOPPjJ9zgwJCbEM/loF8T766CPDbasVSKyClUFBQQoJCTFUl/Z4PNq3b5+3unRNx6qYm2/Y1mpuNWFVTKNpkwA1ObRO5y5fKF/Jz9lYfv7N1CgkVP6dwuRs8f0/91pfIiIi9PLLLxvaduzYoV/+8peGtkuXLtmuRpORkaEpU6YY2i5cuGD4e0gqv7gwKipKM2bMsBxn586d3hB9hY4dO5ouSKzQo0cP7/+73W499NBDtmHUzp07a+DAgWrbtq2Ki4uVnZ2tvXv3mqqh15fS0lJNmDDBFLTt1KmToqKilJubq3feecfwfcO6deu0ZMkSPf7446bxFi9ebHpujRs31j333KPg4GDT34TffPONJk6cqF27dpnON2VlZWnatGmmoG14eLjt34SzZs3SiBEjanQha2hoqE6fPl2j4hs/dgUFBWrdurXhPTswMNB7DrGyNWvWaPTo0Ya24OBg70oLlaWmpmrs2LGGts6dO+uLL76oh9lLy5YtM1yc4ausrEybN29WWlqaMjIydPr0aeXl5enSpUtq3ry52rZtq9DQUIWHh2vo0KEaNmyY7efCuiotLdUbb7yh1atXa//+/crOzvaeGx0+fLgmTpxYo3OjFXbv3q3k5GRt3brVe260ffv26tOnj0aPHq3x48fXuLBMXl6e99zo8ePHlZubq8DAQO+50ZiYGMtzo1Y8Ho/WrFmj1NRU7dq1S9nZ2XI6nQoJCdHtt9+u8ePHf6erXwAAAMK2wI9WoxDryhjfN4073KiQkBAtXrxY//3f/6358+crKSnJVG3Ll9VSxw6HQ06n0/I+lCsrK/NWAf62gd0f8ja1qa5cE/5+V8cXKp8eqf1y6W632/ILiqtZQwWCGzqA/Le//U2fffaZHA6H98ReVf+t+P/k5GR16tTpBx1ELjldxVqf3yOXTx+Ss/sQSeUn2iqWxbOrQlLhuz7ePf3009UuvVrZzTffXC8XfsTHxys+Pr7O40jlX3g88MADeuCBB+plvLpo1KiRJk2aVG/V32+99Vbdeuut9TJWcHCwnnrqKT311FO12q746Ha5878ytd/cNkBzh7Wtl7l9W+78L1V8dLua9rijZv3dbq1atUqvvvqqrr32Wr366qsN9uVCdbp3767WrVvbVhu2C69HRkbahm2vVODd6XRq1apVmjhxoimoIUkff/yxqVpTQ2rUqJGWL1+uYcOGGb5cPX36tF599VXLbX7+858bqnT5euKJJ5Senm74cvXy5ct66623LPu3bdtWycnJlu/p119/vV566SVTFaO9e/fafnm+cOFCU8jPfT5Plz7L9N72SPokt0Sf5FZ9cVpI80b6c1RIlX2+rYK3F6hJ96FXbdW/iIgIQ9hWkiE826FDB1N14cjISMOy1VZh24beD2NiYrRgwQJDgM3tdmvixInasmWLmjRp0qCPX1nLli01ePBgU3XpLVu2mIIaW7ZsMW1/9913G25HR0dr9erVpu2eeOKJascaMmSIoWLe0KFDdc011xheq0OHDik7O9tQ0a+kpMQUcHA4HIaKjd8XnsvFOpv4qEL+Z72crdpXv8H3WGRkpKkC344dO0xh27CwMO+/a+UAbUZGhsLDw69oRU27qpl1CYXWlVVF2MuXL1v2tWuvCAtbjVXb8XyDx3WdW1Uh5gEDBujxR2NVfGynCrNP6WTBZe39ulglPksvfPh1sUb/4wu9dv+1uq1z7S488Vx0Kf/NWbq4f5OCxiRc9fucL6swuu9+9NlnnxkuaIiIiNBNN92kNm3aeANGvvvp4cOHlZ+fbxjPd9+tb7t37za1fZdhluPHj5vaKleOrdCuXTtT28mTJ1VWViY/Pz+VlpaaLjqpbrzK4cXjx497w7Z1nZvV9tV5++01prYhHRvJ9c5ztts4W4XI//o+umbAKDXpPuSqvJiypqz2P6tzRxUV361Y9c/MzDR9FzNo0CB169ZNixcvthwnPj7eFLYNDQ217e8rISHBMmjbvXt3vfDCC5aVnaXy94sVK1aYAsd1tXz5clPYuFevXnr//fe9q52kpaVp5MiRhnNazz77rGJiYgxV1wsLC03nq/z8/LRp0ybDaieDBw/WwYMHvX327NmjlJQUTZgwwbDtnDlzTNW4J0+ebFjtZO7cuZo3b573frfbrZkzZ1pevN+vXz9dd911GjRokAYOHKjg4GB16dJFWVlZ1b1MP3qBgYHq0aOH4XxFQUGBDh8+bHnBhtVnzNzcXH3yySc1ri49e/ZsxcXF1XHmVUtOTtb8+fNtzxUVFBSooKBAx44d856zDg4O1tKlS+u1urQkHThwQOPHjzedEyouLva+1i+++KJiY2O1ZMmSKi8YLykp0fTp05WUlGQ6F52VlaWsrCytXbtWixYt0ooVKxQWFlbl3FJTUxUXF2cK5efk5CgnJ0eZmZlatGiRnnvuOU2fPr3Ksb744guNGzfO8t+8sLBQx44dU1JSku677z69/vrrNa68DwAA6hdhW+BHyr9T1X8cfF809pln586d9dJLL+mpp57S7373O/3973+3DOWwhP234+fnJz8/v+8sGPJ95/F4DGHkuoZ7g46uk05srP6Bv2M39+wlx/vpP4rKx1Wp+Lf/saj48qQmKodxv8/hY9+2677ZqS4N9xLWm8tfH5N/t8Fas2aNFixYUOPqLxwLcTW4sNv8Zen3yYXda6oN216+fFl///vftXDhQkO4LiYmRkOGDGnoKVpyOBy67bbbLL+gDAgIsKzIKJV/OVu5+maFK1ldukWLFlqzZo2WLl2q3//+96ZKr1Xp2LGjJk+erN69e9fbfMLCwrR161aNGzdOhw8ftu3ncDgUExOjF1980bbCtdPp1OrVqzV9+nQtW7asys9XYWFhWrFihe1yoZL0yCOPqHHjxoqLi7MNV0vly2r/4Q9/0GOPPWa6r2jXSnVpLgU4HbrkrtnnvcHXNdUf72yvji0b5u8Gz0WXinalquWIaQ0yfkOz2pd8Awq33XabaZvK+1jlQEOTJk1sq6HWl/bt2+vJJ5/U/PnzDe07duzQsGHDtHTp0hpVwKpPU6ZMMYVt582bpzvvvNMbbti6das2bjT+XdWyZUtTIHfMmDGaMWOGIbi4ceNGbd261RBuSEhIMM0jJibGcLtFixZ68MEHlZyc7G1zu92aNWuWIdywYMECU7XSO+64wxS2/r7wXDyn/NRnFRzz0lV7QZ1kfczasWOHXC6XDh36zwV3vqGk/v37KyAgwBs+2rFjh8aOHWsKg1mF5etL8+bN1bRpU128eNHQfvLkScv+jz76qPf3edWqVfryyy/rfU5WX95XDvVU1e5wOLz7asV/6zKe73zqOreqggmDbwhU9+B98lxzSVJ5eDD7fKl+veGMPjj9n3+fC5c9+p93c7T9F9fL71vsM8VHtunMonvUJuZvV31V6Qr9+vUz7EvSf4J9AQEBpiBfxf4aERHhrS6dmZkpt9stp9N5RQPvRUVFlhWTQ0OtC1a0adOmyiXl09PTNWzYsDrN6dy5c6Y23+CeL6sAusfjkcvlUmBgoFwul+V2tRnPdz51nZvV9nbc5/O0d+Wf9fyiP5jui+0XVPW2587o4oFNunhgk5xBHdXstofUbODYq/airqqEhoaqXbt2ysnJ8bYdP35cOTk5hsBz5f1w4MCB3mDskSNHlJ+fr6Cg/7yuV3I/zM7ONlyAVqF379567733qnzv7tGjhxISEjR79mydOnWq3uaUlJRkaps7d67huDZixAhFR0cb/gZ3uVxKTU01VAtduXKl6SKa6Oho72dRqfx4OWfOHFNQMTEx0RC2LSws1KpVqwx9nE6nFi5caPgc98wzz+iFF14wXLiQnp6ukydPmj7T/PrXv7Z8DVAzkZGRpiDojh07LMO2dkUUMjIyahy2bcjVG4uKihQbG6s333yz+s6V5Obm6uOPP67XsO2hQ4c0fPjwKo+7Uvlx75VXXlF2drbWrFljeW7G7XZr9OjRttWzrR73vffesz03k5KSYroI2kpRUZEee+wxXbhwwbDika+vvvpKw4YN04kTJ6qd29q1a3XXXXcpLS3N9vgLAAAaDt/CAz9SzhbBcrYK+V4voe0M7GB54usnP/mJkpOTNWvWLMXHx5uq/nzX1fzww+RwOLxBvYCAb79EZ4VCv8917ioI244aO17Dnl6mhIQELVu2rEaB0/bt2+vo0aM1DiFX11Zf4zTk2Hb3V1WF+4fi/7F33+FRlfn//1+TSTIppgdIBAGFQICskoQW4gcpoggWkGLhJ5KNLKLr6qqrAVEiEcsHdu0iuwKKX1YUWVxAbEBcd0MRUKoBKQoiRdNISEibmd8ffMhmmJkUUk7K83FdXDJnzn3POyMnU877vO7m2oj8x4RQPZzQ9JcT3LNjq0aMftjtiTF3nnvuOQUFBVXbwHzh32u638WOb86NG6h/pUd2GF1ClUqP7nR7X3FxsRYtWqT//d//dZnycmGjTGNLTEx0eeIgPj7ebbpHVctiN2az7XnTpk3TPffco1WrVmn9+vXatGmTTp48WbEMY0BAgCIjI9W9e3fFxsZq+PDhio+Pd9voWhdXXnmldu7cqaVLl2rFihXasWOHfvnll4rlCocMGaLJkyfXaLlCi8WihQsXaurUqXrnnXeUnp5esVxh27Zt1bt3b40dO1YTJ06s0YUTEyZM0LBhwyqWKzxw4IBycnIUFBRUsVzhlClTXC5XaLdZVbhpmSbHBuvWngFK/6FIm48VKfPXUv2UX6bTxTZZ7XYFeHuoQ5CX4iJ8NLpHgPpc6ntRz2NtFG5apoAh9zTL9LHqlph3dTy1bdtWUVFRbhOD+vTpU2UyT31JTU3V119/rc8//9xh+5YtWxQXF6devXopNjZWQUFBys/P165du7Rzp/vflXV111136ZVXXnFIE9u9e7d69eqlESNGKCcnR2vWrHFqXE9LS3NKrQwICFBqaqrDiU2bzaYRI0bopptuUmhoqNOyvdK55/7OO+90qm327NlasWKFQxPf22+/rV27drldttdsNmvu3LkO21JTU/WnUVcqd1mK2+fhLxuz9eJmx4b6P1/fThN6uW5erIvizC9VtP0j+fcZU/3OTZSrY2zjxo3avHmzw0nwyvtZLBbFxcVVLG+/ceNGl00Nrprl61O/fv30r3/9y2Fbenq6/vjHPzrtW7kxfseOHQ3SbOuqybByKmlllZu7zrv88ssrXpc9PT3VuXNnp2TN2sxXuZ661uaugbJ4f4ayF0+Tvcxxyex2l3jqtVER6vfXH1T52pQjp8u082SJYiMvLv3bfva0shYkKSxpvny6V/360Rx4e3urT58+DsdPaWmptm3b5pQubTab1b9/f0nnXjvPN9sWFhZq586diouLc9mMVN3r7MW68OKI86pKQW5orpp/3b0/dBeecObMGQUHB7ucq7bzVW4SrGttNUntttvtKtq2UnveeUpjl+xXcZljI1NyXLAGdKj5+1Jr7s/KX/sXFaS/peBbZsivz5gW9x3FwIEDnVYIycjI0JgxYxxunxcUFKQpU6ZUNNva7XZt2rTJIYW/MZttFy1a5HSBhMlk0tKlS2uc3ujr6+uyWfFi5Ofnu/z5XaXrXnvttU6fwdesWePQbLt27VqnccOHD3fa5ipR+6uvvlJBQUFFsveXX37pdBxeeeWVTgnT3t7eGjRokP75z39WbLPb7fr444/drsiCizNw4ECnZOWMjAz97ne/c9hWUlLidjWajRs3KikpyWFbUVGRU7pyYGCgRowYoQcffNDlPJs3b3ZKl27fvr3TBYnn9ezZs+LvVqtVt912m9tm1Msuu0z9+/dXmzZtVFxcrFOnTumbb75xSkOvL+Xl5brrrrucGm07dOigESNGKDs7Wx9//LFD8/GqVav02muv6Q9/+IPTfC+99JLTz+bl5aUbb7xRYWFhTp8Jf/31V02aNElbtmxx+r7pyJEjmjp1qlOjbVxcnNvPhCkpKRo2bJjLC1mnTp3q1GgbGhqqm2++WSUlJVq1apXD78gtW7boySef1F/+8henuQAAQMOi2RZoxbw79dbZXZ8aXYZb3h2rTqTq2bOnPvjgA3377bd66qmntGbNGknnlhQCmjrPCNcndpoar8godezYUX/7298qUqX//ve/V5nE5uXlpeDg4MYrsomz2WxNpvm3MeapzRgjeXs0jxMqX3yyttaNtpL0+uuvN0A1defh4WFos29Dz3UxYxqiMbA5sBZkN+mLviTJmndC1jM5Dhd/nTlzRm+++ab+/Oc/V3kiweh06enTp2v69Om1GtOjR496SbJPTU11WhrzYnl5eWns2LEaO3ZsvcxXF56enrr77rt1991318t8/fr1U79+/eplrrCwMD322GN67LHHajWueN9XsuYelyQFWsy6JTpAt0Q3zLLMtWXN/VnF+76qNl26ssLCQr3//vsym8266667DPv9Gh0drdDQULdpw+6aExITE9022zZWw7vZbNaHH36oSZMmOTVqSNLevXud0poakqenp959910NHjzY4eTqsWPH9NZbb7kcc/PNN7ttHHjooYeUnp7ucHK1rKxM//jHP1zu36ZNGy1ZssTlBb2dOnXSggULnFKMvvnmG7cnz59//nmnhGLrmRzlfTTH5f5Gyftojnyir2m2qX9t2rRRt27dHBLns7KynBKnLzyuEhMTK5ptjx496nRh9/l9GtJ1113n1Gy7du1aHT58WFdccUWDPrYrsbGxMplMDu8PTp06pby8PKfP/JmZmU7jL/z3Hh8f79Rsu2/fPo0YMcJhW25urlPjrMlkUu/evR3mutC+fftc/hw1qU2SSg5vc9loe15bf0+F+Zn1S6HjxaZHT5dddLOtJNnLipW9eJrCpy5uEQm3iYmJTs1pGRkZTs22MTExFU1jFx5bGzduVFxcXKM2+blr5KtJU2hDcZUIW1ZW5nJfd9vPNwu7mqu281VuPK5rbdU1MVtPn1Tu8qe06z+faeKK4zp5xvE7pOu7+OvJQeFVzuGO/Wy+cpel6OzOTxUyPk3moHbVD2omEhMTnd7Dbdy40aHZ9vxrnSQNGDBAV199tdP+55tt7Xa7Nm/e7HC/2WzWgAED6rnycz777DOnbddff73LZNDG8O233zp9Ro6IiHD5+8JV6uWFq1O5eo/oqjE4JCREERERDt852O127dixo2I1sprOdb62ys22rmq7WNaCbJUe26PykwdlKy2UrGWS2Use3v7yjOgq7w4xMgc0/bCD+uDqfaKri0bOJ7674mr/r7/+2ul79AEDBqhbt2566aWXXM6Tmprq1GzbtWtXt/tXlpaW5rLRNjo6Wq+++qrLZnNJ+u677/Tee+85NRzX1bvvvuvUbPyb3/xG//nPfyoSptevX6/hw4c7HK9PPvmkkpOTHVJfCwoKnL6v8vDw0Keffuqw2snVV1+t3bt3V+yzbds2LV261CFdWpKeeuoppwsEJk+e7LDayaxZszR79uyK+61Wqx599FGtX7/eYVx6enrFOe7zIiMjtW3bNl166aWSzn0e79evn0Oj/SuvvKIHHnigya6eAgBAS0WzLdCK+fUd06Sbbf361ixJJTY2VqtXr9a2bdv03Xff1evyJEBD8e4QY3QJNeJVqc6oqCj9v//3/5SSkqJZs2a5PSlNurQjDw8PeXh4uE0Zac1sNpthzcHRuZulgu1GPwXVuqzzFZJ+MrqMemOz2Rp0mbPm7PyXsOeX27VYLE0ijbihmpI9jm4z+BmvmbJje2SOHqS8vDy9+uqreumll9w20FVmdLMtUBNFW1caXUKViraurFGzbV5enl5//XW99NJLysrKknTuBPXNN9/c0CW6ZDKZlJCQ4PIEpcVicdkgJp07OXthM+B5jZkuHRAQoJUrV2r+/Pl69tlnnZJeq9K+fXtNnjxZV11V9YWztRETE6MNGzbojjvu0Hfffed2P5PJpOTkZL3++utuG63NZrNWrFih++67T4sXL67yAoOYmBi99957bpcLlaSJEyfKy8tL06ZNq/K1wd/fXy+88ILuv/9+p/sKt3wge3GB27FGsJ/NV+GW5QocNtXoUi7awIEDHZptJTk0z0ZGRjqdkE5MTHRYutpVs21DH4vJycmaM2eOwwl0q9WqSZMmad26dfLxufiGzosRGBioq6++Wv/+978dtq9bt84pGW3dunVO40eNGuVwe+TIkVqxYoXTuIceeqjauQYNGlTRmClJ11xzjfz8/Byeqz179ujUqVMOqX6lpaVOiWImk8khtVGSSnN+VtYi9422kpRVVK7sIudVXXw8634hp72sWFkL71XEn9Y0+8Y/V8dJRkaG8vPztWfPnoptlZuS+vTpI4vFUtF8lJGRoQkTJujgwYMO87g6duvLJZdcIl9fX6cVKn744QeX+997770Vjbgffvhhg6RLu2rou7Cpp6rt5z9bSnJY8v5i56tcT11rqyqltOSH7cpaeK+2Hzqpuz86rrxix8TAa6/w1xs3Rspcx4uoizO/1Mm5Nyo8+c0W0eguuW72q9y0fujQIYeLGQYOHKju3bsrPDy84n105Wa/7777Trm5uQ7zVW6Ur29bt2512uYq5bWxXPg7SJJTcux5bdu2ddr2ww8/yGazycPDQ+Xl5U4XnFQ334UX+B48eLCi2bautbkaX1Nn925Q0baPVHpkR40uojYHRci7U2/59R0jn+hBzXL1kpro2rWr2rZt65Cof/DgQf3yyy8O/w8ubKjt379/RWNsZmamcnNzFRISUnF/Y154curUKYf3w+ddddVV+te//lXl7+6ePXsqLS1NM2bM0NGjR+utpkWLFjltmzVrlsPr2rBhwzRy5EiHz+D5+flavny5Q7r0Bx984HQRzciRIysabaVzr5dPPfWU03nmhQsXOjTbFhQU6MMPP3TYx2w26/nnn3dITX/iiSf06quvOvwuTU9P1w8//ODwnsbVz/nII49UNNpKUq9evZSUlOQQsmG1WvXOO+/U20XvAACgZjgDCLRiPtGDZA5pL2tu/X8ZWFfmkPbyiR5UqzF9+vRRnz59GqgioH6ZA8JkDopo0ql+5uBIl2lGMTExWrFihbZv364nn3xSn3zyicP9NBihpjw8POTt7d0oyyJfqCD9Ep1e0/SbbcfdcZe63T1Hs2bNcrrivSqffPKJvL29nZqMa9KoXNXf6zr+Yudyl5DTkpxv+LHb7W6XMG1JpsYHa+Y1bYwuo1oFP+zShMfm6fPPP3ebPOLK1q1bVVpaWqMG5Zo0MLfWBGQ0rNIjO4wuoUqlR3dWeX9WVpZeeuklvfrqq04p8D/9ZOyFKomJiS6bbePj492+76kqMbMxm23PmzZtmu655x6tWrVK69ev16ZNm3Ty5Enl5OTIZDIpICBAkZGR6t69u2JjYzV8+HDFx8c3yO+rK6+8Ujt37tTSpUu1YsUK7dixQ7/88ot8fHx06aWXasiQIZo8ebL69u1b7VwWi0ULFy7U1KlT9c477yg9PV3Hjx9XcXGx2rZtq969e2vs2LGaOHFijT7XTJgwQcOGDdPChQu1evVqHThwQDk5OQoKClLnzp01cuRITZkyRR06dHAaa7dZVbhp2UU9Jw2tcNMyBQy5p9k2Q7hqXq+cCJaQkOA05sLj7MIEMR8fH5dpqPWpXbt2evjhh/XMM884bM/IyNDgwYM1f/58l0vONqSkpCSnZtvZs2fruuuuq2hy2LBhg9P3AoGBgU4NuePHj9eDDz7o0OTwySefaMOGDQ5pYmlpaU51JCcnO9wOCAjQuHHjtGTJkoptVqtVKSkpDmlic+bMcXpvPWTIEIfmBrvdrtgrr9ToK0y6JTpAlwY4Xyh7oqBMD392SlYXPfrdwurn86z97GnlLn9SYckLmvXS9q5eszZu3KjNmzc7JIFX3s9isSguLq4icXPjxo0um4tcHbv1qV+/fk7p0unp6frjH//otG/l43THjh0N0mzbtavzqlgXpj6fV7m567zLL7+84nXZ09NTnTt3dmr2q818leupa22uxktS8f4MZS+epi8PZOt3q0+oqMzxoBsdHaAXR7STZz2tVmQ/e1pZC5IUljRfPt0bNr28McTHxzs0rkv/TdG0WCxOTX7nj8OBAwdq1apVks6laFqtVpnN5kZt8issLHS4gOI8d/9WwsPDnZaVryw9PV2DBw+uU02nT5922lY5JbMyV2nPdrtd+fn5Cg4OdrtqVW3mq1xPXWtzNb6mshfdW6v9radP6uyuT3V216cyh7SXf8Jt8u8/odmuolCVgQMHOqVLZ2RkOKRLVz6ugoKCNGXKlIpmW7vdrk2bNjlcFNSYx+GiRYucLpAwmUxaunRplY22lfn6+rpNWa6t/Px8lz+/q3Tda6+91ukz+Jo1axyabdeuXes0bvjw4U7bXDX5f/XVVyooKKi42ODLL790+p115ZVXOjW9e3t7a9CgQQ7p0na7XR9//LHDiiw1re3aa691WtFuzZo1NNsCANDI6IYBWjGTh1n+Cbcpf+1fjC7FiX/C7c32pA5QU96dejfpdGnvjlUnUsXHx2vt2rX6z3/+o5kzZ1ackOjYsWNjlAfUiWeE6y/rmxqvyCglRidq3bp1TsdaVQYPHtzoyVcNzWazNXjjcFlZmaxWa701C3/++ef69ddfa/2zdurUSSaTqdrHrHyyurnx824ezaNL31mk1atrv7zin/70p3qtw2QyXXSzbnO4XdsxNB/XnbUgu0lf9CVJ1rwTsp7JcToJe/z4cc2bN08LFixweUJeMv7ir+nTp2v69Om1GtOjR48qk1ZrKjU1td5OtHl5eWns2LEaO3ZsvcxXF56enrr77rt1991318t8/fr1U79+/eplrrCwMD322GN67LHHajWueN9XsuYer3a/hweG6eGBjbv8rjX3ZxXv+6pG6dKVlZaWqrCw0CGNywhVNa9LrhsU2rZtq6ioKB04cMDlmD59+jTKRYKpqan6+uuv9fnnnzts37Jli+Li4tSrVy/FxsYqKChI+fn52rVrl3burPrihLq466679Morrzgs37t792716tVLI0aMUE5OjtasWeP0+ystLc1pmfiAgAClpqbq0Ucfrdhms9k0YsQI3XTTTQoNDdWnn37qlKjdp08f3XnnnU61zZ49WytWrHBoCnn77be1a9cu9e3bV5mZmU6ptmazWXPnznXYVrRtpY5l5enZn2167t/ZuiLESz3aWBTia9bZMpt+zi/X1z+fddlo26+9jy4Pqb9/F8WZX6po+0fy71Oz1b6aojZt2qhbt24O6dJZWVlODfAXHoeJiYkVzbZHjx51mS5d3bFdV9ddd53T5+21a9fq8OHDuuKKKxr0sV2JjY2VyWRyOL5OnTqlvLw8BQcHO+ybmZnpNP7CCwTi4+Odmm337dunESNGOGzLzc11apw1mUzq3bu3w1wX2rdvn8ufoya1SVLJ4W3KXjxNq/b8qoc+PaXSCw665LhgzbomvN6b0e1lxcpePE3hUxc3+4Rbb29v9enTx6E5rbS0VNu2bVNiYqJDs63ZbFb//v0lnTu2zjfbFhYWaufOnYqLi3O5pH1DHYfuLjq+8LWkMbn6rOHuc4a7Fc3OnDmj4ODgWn9ucTVf5YtV6lrbhemejcWa+7Py1/5FBelvKfiWGfLrM6ZZX2ByocTERKdm240bNzo0255/rZOkAQMG6Oqrr3ba/3yzrd1u1+bNmx3uN5vNGjBgQD1Xfs5nn33mtO36669Xr169GuTxqvPtt986vceMiIhw2fjrakWSb791/D7vm2++cdrHVWNwSEiIIiIiHNKl7Xa7duzYUZEuXdO5ztdWudn2wtqOHDnicqUUV/O5+jn37N6l3HV/lYe1WLKWSWYveXj7yzOiq7w7xMgc0LifJQEAaA1otgVaOf/+E1SQ/pbsZ11fWWsEk2+g/PuPr35HoJnz6zumSTfb+vWt2cmdq6++Wunp6dqwYYO++uqrejsBDjQk7w4xRpdQI16V6jx/rK1bt04zZ87U119/7Xac2dzyLljx8PCQh4eH2xMYrZHdbq9ovm2oZOKGSjCOCTgmKcvop7Bagf5No2ndbrerrKysVaQ814TJZKpRw+4vv/yikpKSipN3lf9b1bZrr71WgYGBjdI4bFTzcemxPdXv1ASUHdsj8/+tePLjjz/qhRde0KJFi1RaWlrlOKObbYGaKNq60ugSqlS0dWWNm23PJ02/9tprOnv2rNauXWvoss/R0dEKDQ11edJacp8GlpiY6LbZtrESps1msz788ENNmjTJqVlDkvbu3au9e/c2Si3Sud+n7777rgYPHuyQIHjs2DG99dZbLsfcfPPNDkldlT300ENKT093SB4rKyvTP/7xD5f7t2nTRkuWLHH5+aZTp05asGCBJk2a5HAR2jfffOOyAUKSnn/+eYcmP+uZHOV9NKfitl3SodwyHcqt/j1XqK9Z/zvc9ZLddZH30Rz5RF/TrBP/Bg4c6NBsK8mheTYyMtIhXVg6d/xVXrraVbNtQx+HycnJmjNnjkMTm9Vq1aRJk7Ru3bpGv6A1MDBQV199tVO69Lp165ySo9etW+c0ftSoUQ63R44cqRUrVjiNe+ihh6qda9CgQRVpfpJ0zTXXyM/Pz+G52rNnj06dOuWQ6ldaWurU9G4ymRxSG6VzyZdZi6ZpybaTmrnhV9kuaG5PuTpM9/druGPCXlasrIX3KuJPa2QOqv/jujElJiY6JUFmZGQ4NdvGxMRU/D+9sIF248aNiouLa9RETXepmUY1hUquE2HdfSZ3t/18s7CruWo7X+XG47rWVpMmZuvpk7KdcZ8eXBf2s/nKXZaiszs/Vcj4tGZ/3J3nqhm98nF06NAhh4sZBg4cqO7duys8PFxZWee+I6t8nH733XfKzc11mK/ysVvftm7d6rTNyPf0Bw8edNp2YXLseW3btnXa9sMPP8hms8nDw0Pl5eVOF5xUN1/lZtvz9Zxvtq1rbZXHu5orKChIFovFaXubcOfG2ZLSMmUue04dg1x/Z24OipB3p97y6ztGPtGDCLoCAKAecPYBaOXMl4Qq+JYZyl2WYnQpFYJHP9Gsv1AGasonepDMIe1lza3/pebqyhzSXj7/19hQEyaTScOGDTP0yxegNswBYTIHRTTpVD9zcKTT66HJZNLw4cN17bXXavXq1XryySe1a9cu57EtsNkWziqnnTY3pz97RQWfv2Z0GdUaO/52HekwXG+++abL5U/dmTp1qtq2beu26fhibl/smJbIbrc36M+3cmXTboC70PnfBbVp0B13uU1JXYyuvHplJw5ob6G/5syZo1WrVslqtdZoXHP8vYjWp/TIDqNLqFLp0erTUo8fP64///nPevPNNx0aroxutjWZTEpISHBaSlY6t1y9q0RG6VyDxIXpm+c1VrOtdC4BduXKlZo/f76effZZp6TXqrRv316TJ0/WVVdVvVJNbcTExGjDhg2644479N1337ndz2QyKTk5Wa+//rrbC0HMZrNWrFih++67T4sXL64y0TsmJkbvvfeeywSv8yZOnCgvLy9NmzbNbXO1dG5p7RdeeEH333+/w/bCLR/IXlzgdpw7V3f01XPXtlXn4PpPO7afzVfhluUKHDa13uduLK6Opcrv2xISEpzGXHiMXfg+z8fHx2Uaan1q166dHn74YT3zzDMO2zMyMjR48GDNnz9fsbGxDVrDhZKSkpyabWfPnq3rrrtOgYGBkqQNGzbok08+cdgnMDDQqSF3/PjxevDBBx2aFz/55BNt2LBBQ4cOlXRuye60tDSnOpKTkx1uBwQEaNy4cVqyZEnFNqvVqpSUFC1atKjiIrY5c+Y4JZYOGTLEodnabrcrd/lTein9B83b6NjY5+khvTC8nSb0CnR+cuqZ/exp5S5/UmHJC5p10qar16uMjAzl5+drz57/XnBXuSmwT58+slgsKikpqdh/woQJTg1grhrl68sll1wiX19fnT171mH7Dz/84HL/e++9t+Lf8ocffqiff67/79ddNQBXTlOvbrvJZKo4Ts//ty7zVa6nrrW5a24+r+SH7cpaeK/sZcVV7ldXxZlf6uTcGxWe/GazT5aWzqV+Vz6WJGn79u0qKSmRxWJxSos+f7wOHDiwIl3666+/ltVqldlsbtSG98LCQpeJyV27ul4dLjw83OFCrAulp6dr8ODBdarp9OnTTtv8/f1d7uuqAd1utys/P1/BwcHKz3cdOFWb+SrXU9faajuX9UyOCrd8oPx/v+fyMQpK3K9+Zj19Umd3faqzuz6VOaS9/BNuk3//CZyHBwCgDjj7AEB+fcbo7M5PVZz5pdGlyKfnEPnFjza6DKBRmDzM8k+4Tflr/2J0KU78E27nCle0eN6dejfpdGnvju5PkJtMJt1888268cYbtXz5cj311FMVyUEhISEssY4mz8Pb9RfQTY2HxV9PP/0HPfHEE3rrrbf0zDPP6MSJE9WOu//++/Wb3/ymESqsns1mq7eG34a+XV1Kcm3nzM3NrXFzZnN2McnHw/xDpS5NfynBrzf+S9fOvKfW4+655x7df//9LlOD3aUJN7XtdZ3Dw8OjWTeKtHTWguwmfdGXJFnzTsh6JsflSdjqkqabwnvRxMREl8228fHx8vZ23SBZ1dLYjdlse960adN0zz33aNWqVVq/fr02bdqkkydPKicnRyaTSQEBAYqMjFT37t0VGxur4cOHKz4+vkGe/yuvvFI7d+7U0qVLtWLFCu3YsUO//PKLfHx8dOmll2rIkCGaPHmy+vbtW+1cFotFCxcu1NSpU/XOO+8oPT1dx48fV3Fxsdq2bavevXtr7NixmjhxYo0unpgwYYKGDRumhQsXavXq1Tpw4IBycnIUFBSkzp07a+TIkZoyZYo6dOjgMM5us6pw0zJJ0md3ddS/fizSNyeKtT+rRMcLypVfYlO5zS5fLw8F+3jo8hBv9Y6waETXS3Rlu4ZNOC3ctEwBQ+5ptt/LVLfMvKvjqW3btoqKinKbLt2nTx+3x259Sk1N1ddff63PP//cYfuWLVsUFxenXr16KTY2VkFBQcrPz9euXbu0c2f1FydcrLvuukuvvPKKduzYUbFt9+7d6tWrl0aMGKGcnBytWbPGqXE9LS3NKbkyICBAqampevTRRyu22Ww2jRgxQjfddJNCQ0P16aefOjX49+nTR3feeadTbbNnz9aKFSscGvnefvtt7dq1S3379lVmZqZTqq3ZbNbcuXMdthVtW6lF7//TqdFWkrqHWfTdLyVK/eVXN8+QdHfvIF0eUj//Noozv1TR9o/k36dmq301Ra6Or40bN2rz5s0OKeCV97NYLIqLi6tY3n7jxo0um/xcNcrXp379+ulf//qXw7b09HT98Y9/dNq3clP8jh07GqTZ1lWTYeVU0spcXZx7+eWXV7wme3p6qnPnzk7JmrWZr3I9da3NXQOlJBXvz1D24mkN3mh7nv3saWUtSFJY0nz5dK/69aOp8/b2Vp8+fRyOn9LSUm3bts0pXdpsNqt///6Szr1unm+2LSws1M6dOxUXF+fUnHt+34Zw4YUR59UkBbmhuGr+dffe0N1KaGfOnFFwcLDLuWo7X+WLVepaW03nstvtKtq2UnkfzZG9uEAebi5UKyxz32xbmTX3Z+Wv/YsK0t9S8C0z5NdnDN8bAABwEWi2BSCTyaSQ8bN1cu5Nsp91voKu0erwDVLIuNm8sUer4t9/ggrS35L9rOsra41g8g2Uf//xRpcBNDi/vmOadLOtX9/qT+54eHjotttu09ixY/Xuu+/qn//8pyZOnNgI1QF14xnh/sROU+IVGSXp3AmT++67T0lJSXrjjTf0/PPPVyzx50pTStX08PCQt7d3ozQnNAc2m61RUoWb+hw+Xs2jeeenHw9f1LiWnOxcG0Y2EHt6emr16tU6fvy4pHPfO5z/rF/5v662zZkzRxEREfVWV1No/LxQ6bE91e/UBJQd2yNzpRVP9u3bp+eee05Lly6t8mKGpvA6OH36dE2fPr1WY3r06FFl0mpNpaamKjU1tc7zSOdOzo8dO1Zjx46tl/nqwtPTU3fffbfuvvvuepmvX79+6tevX73MFRYWpscee0yPPfZYjccU7/tK1txzv6M6BHpp4pVBmnhl1Ul/jcWa+7OK930l355DajwmLy9PCxYs0P79+zVz5kxdccUVDVhh1aKjoxUaGuo2bdhd83piYqLbZtvGang3m8368MMPNWnSJH300UdO9+/du1d79+5tlFqkc8fdu+++q8GDBzskCB47dkxvvfWWyzE333yzfv/737u876GHHlJ6errDxQhlZWX6xz/+4XL/Nm3aaMmSJS5Xz+nUqZMWLFigSZMmOTRxfvPNN/rmm29czvf88887JBRbz+Qo76M5OnnG9fu2vb+WaO+vJS7vO+/6rv711mwrSXkfzZFP9DXNNvGvTZs26tatW8UF2ZKUlZXllDZ94TGVmJhY0Wx79OhRLV++3GnuhmryO++6665zarZdu3atDh8+bMjvtNjYWJlMJof3BqdOnVJeXp6Cg4Md9s3MzHQaf2Ead3x8vFOz7b59+zRixAiHbbm5uU6NsyaTSb1793aY60L79u1z+XPUpLbzSg5va9RG2/PsZcXKXjxN4VMXN/uE28TERKdm9YyMDKdm25iYGAUEBFSMqWzjxo2Ki4tr1GRbd2nHlZtCG5urRFh3Fxm7236+WdjVXLWdr3LjcV1rq8lc1tMnlbv8KYegrDKr688q/l61+8xrP5uv3GUpOrvzU4WMT5M5qF2txgMA0NoZ/80ngCbBHBSh8OQ3lbUgqdE/SEuSydtX4clv8oYerY75klAF3zJDuctSjC6lQvDoJ5rtF8pAbfhED5I5pL2sufWfflFX5pD28qnU2FAdT09PJSUlKSkpqQGrAuqPd4cYo0uoEa8L6vT19dUjjzyi3/3ud3r55Zc1b948l8u9NYUmI7jm4eEhDw8Pt6knrcXpz15RweevGV1GtW4YdbP67CjR9u3ba9UA17lzZ11yySVVNh1fuL1yk0hLcf5nq7yMaXMwefLkep3PZDI1WEPxxc7Vs2i3rqzXn7JhlJ04IJ/oQdqxY4eeffZZffjhhzU6FnkdRHNQtHWl0SVUqWjryho12/7666968cUX9frrr1cskWwymbRw4cKGLtEtk8mkhIQEl+nSFovFZZOYdK7Z6MKGwPMaM106ICBAK1eu1Pz58/Xss886Jb1WpX379po8ebKuusr9SjW1FRMTow0bNuiOO+7Qd99953Y/k8mk5ORkvf76624vNDGbzVqxYoXuu+8+LV68uMrf6TExMXrvvffUo0cPt/tMnDhRXl5emjZtmtvmauncctgvvPCC7r//fofthVs+kL24wO04I9jP5qtwy3IFDptqdCkXbeDAgQ7NtpIcmmcjIyN1+eWXO9yfmJioefPmudy/8rwNKTk5WXPmzHFIebRarZo0aZLWrVsnH5+GTRW/UGBgoK6++mr9+9//dti+bt06jRs3zmnbhUaNGuVwe+TIkVqxYoXTuIceeqjauQYNGlTRmClJ11xzjfz8/Byeqz179ujUqVNq1+6/59hKS0udEqZNJpNGjhzp9BjW0yeVtajxG23Ps5cVK2vhvYr405pmfZ7Q1XGSkZGh/Px87dnz3wvuKjfY9unTRxaLpeJzW0ZGhiZMmKCDBw86zOPq2K0vl1xyiXx9fXX27FmH7T/88IPL/e+9996KRtwPP/ywQdKlXTUAV05Tr267yWRSYGCgJFX8ty7zVa6nrrVVO1dBvsuArKIy16/bAZaLu8C0OPNLnZx7o8KT32z2je4AADQmvvkEUMFyebzCkuY3+pWrJm9fhSW9wRt5tFp+fcbo7M5PHa5QNYpPzyHyix9tdBlAozB5mOWfcJvy1/7F6FKc+Cfc3myXDAVqwhwQJnNQRJNeQtscHOn24pOAgADNnDlT9913n+bNm6eXX37Z4SSXr69vY5UJXBQPb3+jS6gRv6Awbd26Vfv379esWbP0/vvv12jciy++qNGjR9fqsSqnHtekOfditzfk3HXdXlZW1iITge12u8rKytwmDRnhjwmhujIhzOgyqnU2P0exXbvq0KFDtRr36aefKi8vz22TcnVNzA25b1NMOoYxSo/sMLqEKpUe3Vnl/ceOHdO8efP017/+1akxJjc3tyFLq5HExESXzbbx8fFuV1yoKjWzMZttz5s2bZruuecerVq1SuvXr9emTZt08uRJ5eTkyGQyKSAgQJGRkerevbtiY2M1fPhwxcfHN8jvmSuvvFI7d+7U0qVLtWLFCu3YsUO//PKLfHx8dOmll2rIkCGaPHmy+vbtW+1cFotFCxcu1NSpU/XOO+8oPT1dx48fV3Fxsdq2bavevXtr7NixmjhxYo0unpgwYYKGDRumhQsXavXq1Tpw4IBycnIUFBSkzp07a+TIkZoyZYo6dOjgMM5us6pw07KLfk4aUuGmZQoYck+z/V7GVeN65fd4CQkJTmMuPMYufE/o4+PjNg21vrRr104PP/ywnnnmGYftGRkZGjx4sObPn6/Y2NgGreFCSUlJTs22s2fP1nXXXVfRvLdhwwZ98sknDvsEBgY6NeSOHz9eDz74oENS6CeffKINGzZo6NChkqT8/HylpaU51ZGcnOxwOyAgQOPGjdOSJUsqtlmtVqWkpGjRokUVq0bMmTNHeXl5DmOHDBni1LBpt9uVu/wpQ1e+lCT72dPKXf6kwpIXNNsVMF29Xm3cuFGbN292uMCz8n4Wi0VxcXEV6dIbN250mWrr6titT/369XNKl05PT9cf//hHp30rH6c7duxokGbbrl2dV8W6MPX5vF9++cVp2+WXX17xmuzp6anOnTs7pUvXZr7K9dS1turmyj9TqLMFufLxdHxPkX3WeXURi9mkSwMuvuXHfva0shYkKSxpvny6N2yCOQAALQXNtgAc+HRPVPjUxcpaeG+jfLA2+QZxxRxaPZPJpJDxs11eqdqodfgGKWTc7Gb7RRZwMfz7T1BB+luyn803upQKJt9A+fcfb3QZQIPz7tRbZ3d9anQZbnl3rD6NKjQ0VM8++6wefPBBPf/881qyZImGDBnidCIZaGo8I5xP5jRFXpFRkqTu3btr2bJlmj59up588kmtXr26ynEXk6pJ6vF/VW48rmszb302BhsxV0Px9mgen7k2ZXxV60ZbSdq2bZu2bdvWABXVXeWk45o28RrVGHwx+9ZkP7PZ3Oo/91sLspv0RV+SZM07IeuZHKeLvw4dOqQXXnhBb7/9ttuLCJpCuvT06dM1ffr0Wo3p0aNHrZLs3UlNTVVqamqd55EkLy8vjR07VmPHjq2X+erC09NTd999t+6+++56ma9fv37q169fvcwVFhamxx57TI899liNxxTv+0rW3OOSpIcHhunhgU3nIhRr7s8q3vdVjdKlKysrK9Px48fVsWNHQ3/PVtW4LrluBmzbtq2ioqJ04MABl2P69OnjtlG+PqWmpurrr7/W559/7rB9y5YtiouLU69evRQbG6ugoCDl5+dr165d2rmz6osT6uKuu+7SK6+8oh07dlRs2717t3r16qURI0YoJydHa9ascfrdlZaW5rBMvHSuQTY1NVWPPvpoxTabzaYRI0bopptuUmhoqD799FOnNO0+ffrozjvvdKpt9uzZWrFihUNq5ttvv61du3apb9++yszMdEq1NZvNmjt3rtNcRdtW6pO1H+tfPxY5bM8rdl79IzX9V4fbV0VYNKaH69TQi1Gc+aWKtn8k/z5j6m3OxtSmTRt169bNIV06KyvLqQH+wuMwMTGxotn26NGjLtOlqzu26+q6665zarZdu3atDh8+rCuuuKJBH9uV2NhYmUwmh+Pr1KlTysvLU3BwsMO+mZmZTuMvvEAgPj7eqdl23759GjFihMO23Nxcp8ZZk8mk3r17O8x1oX379rn8OaqrrVOnTgoLC1N2drbDPodyytSrrcVh24HsUqe5uod7y7OOny/tZcXKXjxN4VMXc74eAIAaMP5bFwBNjuXyeEX8abVylz/VoEmbPj0GK2R8WrNeEgaoL+agCIUnv6msBUmGLNVk8vZVePKbHI9odcyXhCr4lhnKXZZidCkVgkc/4TZNE2hJ/PqOadLNtn59a35ip127dnrxxRf14osvNmBFQP3x7hBjdAk14nVBnVdddZVWrVqlLVu2aObMmS6XWJWaRpNRc0bj8Tl2u102m61BGnovPfKFdDzd6B+xWr2ujJXF8kXFkrYtQVNMOjaSyWSqaAir/PdLL71UPj4+hjcGN9S+5T/tNvJpr7GyY3tkjh4kSdq7d6+ee+45vffeew7JeK7wOojmoGjrSqNLqFLR1pU1brYtKirSW2+9pblz5+rYsWOaMWOG5syZ08AVuhcdHa3Q0FDl5OS4vN9dUnRiYqLbZtvGSpc2m8368MMPNWnSJH300UdO9+/du1d79+5tlFqkc79P3333XQ0ePNihEe7YsWN66623XI65+eab9fvf/97lfQ899JDS09Mdkr/Lysr0j3/8w+X+bdq00ZIlS2Q2O6csd+rUSQsWLNCkSZMcXhe++eYbffPNNy7ne/75550aEK1ncpT30Rx9e6JYC7/Nczmusgv3GdczoF6bbSUp76M58om+ptl+Pzpw4ECHZltJDs2zkZGRTunCiYmJmjdvnsv9K8/bkJKTkzVnzhyHlZusVqsmTZqkdevWycfHp0Ef/0KBgYG6+uqrndKl161b55Qc7eq7gVGjRjncHjlypFasWOE07qGHHqp2rkGDBikgIKDi9jXXXCM/Pz+H52rPnj06deqU2rX77zm20tJSp6Z3k8mkkSNHOtX27rvvOmz799Eip2bb/xx1bIiXpGGX18/KRfayYmUtvFcRf1rDeUIAAKrBty4AXDIHRSgseYGKtq1U3kdzZC8uqLe5Tb6BCh79hPziR7f6JA2gMsvl8QpLmq/sxdMateHW5O2rsKQ3uGIVrZZfnzE6u/PTBr3ApKZ8eg6RX/xoo8sAGoVP9CCZQ9rLmlv/S83VlTmkvXz+r7EBaInMAWEyB0U06VQ/c3Ck25Or/fv31xdffKEvv/xSTzzxhDZu3Og41sXJaKC2TCaTzGazzGazLBZL9QNqoSD9tE43g2bbdu07KTc3V2+88Yaef/55ZWVl1WjcH//4R915551um5Br07B8sfvW95xWq/OSrS2B3W53mSR69OhRA6ppPFPjgzXzmjZGl1GtshMHlPFzmWbMmKGvv/66xuOKior0ww8/VNuUfH5pZcAIpUd2GF1ClUqPVp+Wmp+frzfeeEN/+ctf9Ouv/037/Pjjjw1ttjWZTEpISHBo6DzPYrG4TGSUzjX7XZi+eV5jNdtK5xJgV65cqfnz5+vZZ591SnqtSvv27TV58mRddVX1K9XUVExMjDZs2KA77rhD3333ndv9TCaTkpOT9frrr7v9/Wo2m7VixQrdd999Wrx4cZVp3jExMXrvvffUo0cPt/tMnDhRXl5emjZtmtvmakny9/fXCy+8oPvvv9/pvsItH9Tr+b/6YD+br8ItyxU4bKrRpVwUV8dS5VUzEhISnMZceIxduMqGj4+PU6N0fWvXrp0efvhhPfPMMw7bMzIyNHjwYM2fP1+xsbENWsOFkpKSnJptZ8+ereuuu06BgeeavDds2KBPPvnEYZ/AwECnhtzx48frwQcf1JkzZyq2ffLJJ9qwYYOGDh0q6dzv9bS0NKc6kpOTHW4HBARo3LhxWrJkScU2q9WqlJQULVq0qOLc95w5c5SXl+cwdsiQIU7N1pMnT3Zqtv3b9lyNjg5QxCXn2nn2Z5Vo+V7H1fnMJmlcr/prdrefPa3c5U8qLHkB5+8BAKgCzbYA3DKZTPLve6t8egxW4ZblKty0rE7NEOaQ9vJPuF3+/cc32ytSgYbm0z1R4VMXK2vhvbKfPd3gj2fyDVJ48ps02qJVM5lMChk/Wyfn3tQox53bOnyDFDJuNl9kodUweZjln3Cb8tf+xehSnPgn3C6TB816aNm8O/Vu0unS3h2rP0E+ePBg/ec//9Enn3yimTNn6ttvv5WPj0+9nlwHGoJnRFejS6gRr8go+fj66pFHHtHvfvc7vfzyy5o3b55On676PXPHjh3Vp0+fRqqycdjtdlmt1gZpDD6/b1lZWbVjajvnV199VWXzjTuhoaGy2+1Oc1bVFNSc+Hk3jybTk8d+1LWT7qn1uH/+85/65z//We1+Hh4e9ZYo3Bz/0GxsHGtBdpO+6EuSrHknZD2T4/I8RnZ2tl5++WW9+uqrTk1UUtO48CsxMdFls218fLy8vb3djnGnMZttz5s2bZruuecerVq1SuvXr9emTZt08uRJ5eTkyGQyKSAgQJGRkerevbtiY2M1fPhwxcfHN8ixfeWVV2rnzp1aunSpVqxYoR07duiXX36Rj4+PLr30Ug0ZMkSTJ09W3759q53LYrFo4cKFmjp1qt555x2lp6fr+PHjKi4uVtu2bdW7d2+NHTtWEydOrFFS+YQJEzRs2DAtXLhQq1ev1oEDB5STk6OgoCB17txZI0eO1JQpU9ShQwensXabVYWbll3Uc9LQCjctU8CQe5rldzNVHUuS6+Opbdu2ioqKcpsu3adPH7fHbn1KTU3V119/rc8//9xh+5YtWxQXF6devXopNjZWQUFBys/P165du7RzZ/UXJ1ysu+66S6+88op27NhRsW337t3q1auXRowYoZycHK1Zs8bpPWpaWpouueQSh20BAQFKTU3Vo48+WrHNZrNpxIgRuummmxQaGqpPP/3UqcG/T58+uvPOO51qmz17tlasWKHCwsKKbW+//bZ27dqlvn37KjMz0ynV1mw2a+7cuU5z9Q/I07VX+Gvd4f/O9UuhVcOXHNHwLv4qs0qfHzqjs+WOP2dSbLA6BtXvijTFmV+qaPtH8u9T8xW/AABobUz2lvINGYAGZ7dZVbzvKxVtXanSoztlzTtR7RhzcKS8O14lv75j5BM9qFl+MAaMYD19UrnLn2rQpE2fHoMVMj6NJWGA/1Pyw3ZlLUhq1GTp80zevgr/3SIa39HqWM/k6OTz18l+Nr/6nRuJyTdQESmfc3EYWryz36Ure2HTTQoKS15Q46V7pXMnybZu3aq2bds6pcQATY21IFsnUp0TrZqayKc3O70e5uTkaN68eXr55Zcdlk2t7NVXX3W7fDKaN5vNZli6cH2mG4+LzNOY9meNfjqrlR99k3r9ruldmNZSmEymahty69pw/J///KciFdxkMlVcXFv5v67+/uijj6pNmzYN3mxs1MW+ZzP/pey3phjy2LURPuUthxVPTpw4oT//+c968803HZqrLtSvXz9t2bKlMUoE6qQlfSa02+1at26dPvvsM91+++2GXvhlt9sVHh7u9oKnjRs3uky3TUpKcpsu/dhjj+mFF16o0eOnpqbq6aefdth2zTXX6Msvv6zR+IKCAk2aNEkfffRRjfZ3JT09XYMHD77o8ZXt2bNHgwcPVnZ2do32v/nmm7Vy5UqXjfdWq1W33HKLy4sRXGnTpo3+9a9/uU2YXrp0qSZNmiSbzVaj+ebOnevQ7Cv933ejzw3XiaxcjX3/mI6eLqvRXLERPlo2vr38vOr/AgO+GwUAoGok2wKoMZOHWb49h1R8uLUWZKvs570qO3FA9tIi2a2lMpm9ZfL2k1dklLw6xPBGHLhI5qAIhSUvUNG2lcr7aE69LuVk8g1U8Ogn5Bc/mgRNoBLL5fEKS5qv7MXTGrXh1uTtq7CkN2i0RatkviRUwbfMUO6yFKNLqRA8+gnew6JV8IkeJHNI+zqtXtJQzCHtHRobasLDw0P9+/dvoIqA+mUOCJM5KKJJp/qZgyNdvh6Ghobq2Wef1YMPPqjnn39e8+fPV0lJicM+NUlhQ/Pk4eEhDw8PeXnVb4JWYzv92Ssq+Pw1o8uoVoeOnfXmm2/q6aef1okT1YcenNetWzfFx8fXuIG5Nn/KymrWANIc2O12lZWVNcmf6U9/+lOjPI5RKcbx9oNq+pecSGUnDsgnepB+/PFH/e///q8WLVrk9JrnCq+DaC6Ktq40uoQqFW1dWW2zrc1m06pVq/Tss89q69atkqTVq1dr//79jVGiSyaTSQkJCS4bOi0Wi+LjXX8HnJiY6LbZtjHTpQMCArRy5UrNnz9fzz77rFPSa1Xat2+vyZMn1+tqMzExMdqwYYPuuOMOfffdd273M5lMSk5O1uuvv+424dpsNmvFihW67777tHjx4ipXbYiJidF7773nttFWkiZOnCgvLy9NmzatytUk/P399cILL+j+++93uq9wyweyFxco4hJPfTC+vX6/9qS2Ha/63MTwLv56aUS7Bmm0lST72XwVblmuwGFNtxkfAAAj8YkPwEUzB4TJHD2o1idBAdSMyWSSf99b5dNjsAq3LFfhpmV1aoYwh7SXf8Lt8u8/niYiwA2f7okKn7pYWQvvlf1s1cvj1geTb5DCk9+k0Ratml+fMTq789MGTXOvKZ+eQ+QXP9roMoBGYfIwyz/hNuWvbXqJef4Jt7MqClo87069dXbXp0aX4ZZ3x6pPkLdr104vvviiHn74YT3zzDNatGiRysvLJZ1bBhdoyjy8/Y0uoUZM3n6aOjVZU6ZM0fLly/XUU0/p+++/r3bcddddp1dffbXB6rLZbPWSUtzU/pSVldWo/pqm1zUH53+mxvbHhFAlJIQ1+uPWlq20SNdee63Wr19fq3EHDx7Ub3/72yobjr28vOq1gbk285nNZgIYIEkqPbLD6BKqVHp0p9v7ysvL9cEHH+i5557Tnj17HO47edL4C9oSExNdNtvGx8fL29vb7Rh3GrPZ9rxp06bpnnvu0apVq7R+/Xpt2rRJJ0+eVE5OjkwmkwICAhQ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" ] @@ -230,7 +230,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Run time: 85.53 seconds\n" + "Run time: 90.93 seconds\n" ] } ], @@ -251,7 +251,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Run time: 285.59 seconds\n" + "Run time: 289.14 seconds\n" ] } ], @@ -320,7 +320,7 @@ "outputs": [ { "data": { - "image/png": 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xrMe4ffpsVn76+KJj/d57dF4WVszBSjftG3CsX0BE5Col2OXhqaWGFzXV49RSxrh9sDPc4DMBGm9Umbh66PSylLXZrjayCpAZTrDqNgAAgN28Xo+M9pvD/Q41KNxvXAl2GVNCBwG3iIbM74lSDR4D0frTgmeAeo1owS4zjSnInVBWnvd5RHZ0E8yMjU97dhtXrg27WY3fjSjnBtRLDXZRQsKdoAWSi4h0Rwl2ASqxp9f8nqdRwS5aPwGfR7Z38RyJ1tEXC8g/vO4KGbN49ppP5eRVf3WPHDi2UFGbXz7wuPzW7T+RfFF/H/xzF/TLX/3afmkLMt4AAAAAAEC9qOqGba644oo12370ox/V1Nbdd9+9Ztvll1/u6v5r8Z73vEdOnz597vNHP/pR6ezsNH53ampq1efh4WHLtvv6+iQef2rg7tSpU7WfKICqhQLuCHbJFszF9SGCXeBSVr+bmVzjgl0KxZLkiubr1Sp8BmimWNgi2EVZudMJyaw5WIJVQrFZXD/ULT6PecLDHQ9PO9bvnUrbbUGfXD/S61i/gIjIfiXYpVQW+UmFE4aaLZ0rynwqZ9y3tZMJfdj4RpXi2YWVvMwlzdeGnbTCkPaQV3pZ9RQAAMARWhHIISVwxW4HlX60omXALWLK6tSNDLctlsrqggiMxcMpw0qwy+EGBbto/WxtD0hAWXgH2Ei0Z6SjcynJNGCRHC38b2tnhHsPHKMGuyw3LthF66s95GVhNaBCarDLTKoh/WvBLrt6ouLnORItJhEPyf994zVy8bYO9TvLmYL817/5sdx9eM6yrc/+6Kjc8qWfSslijY+XXDIon3rN5RJmziwAAAAAALZgNAq2eeYznyk+3+pBmx/96EdSLFb/4vAHP/jBmm3PfvazLY+5/vrrK2pnPcVicU0gTH9/v4yOjlbdlpX7779fPv3pT5/7/NznPlde85rXqN9fXFxc9fnpoS2a9vb2c/97YaE1CqmAjSLkNw9iZxswmWJVf0qQjHZ+QLN5vR4JK8FI2gRVJ2QsQpgIdoFbWa3C2cgJ5VqIDBP6sFnEw34Z7TDPerjz4dNSLlvMiKhRuVyWOx8+bdz3nNEEEyzguKFEVHqUVQnvPzrf4LOpzdRSWt03SLALNgGrld2sVuO1i1Y8vLMzKB6Px/H+AQAANqMxJdyvEc9/+WJJjsyaC7j2KucFuEUsZB5ra+g4vEVfjMXDKSP95mCXk4tpSTXg939CCXbZ0UkgLDaHUeUaLJVFfa6y08S0+RrUzguwQ2/MHOwyl2x+sEtnhPevQKXUYBclcMVuk8p9UgsuBNyuKxqUz/3G1XKVsgCPiMhKriiv/fv75K5HzYtEffq7k/IHX3vYsp9fuXK7/O//cilBmgAAAAAA2Ii/smGbzs5Oueaaa1ZtW15eljvvvLOqdubn5+Xf//3fV23bsWOHXHDBBZbH3XDDDRIKrX6R853vfKfqQJM77rhDksnVg8U33XSTrQUExWJR3vSmN0mp9ETReDAYlE996lOWx5z/s+Xz+XX7yeWeWk03HA7XcKYAaqWtyKEFrThF648VQ+BmWnBKI4Nd0jm9r0iQyRlwp2jQIthFCVtxwrIyeTcWZjI5No+Lu83hLUfmUo6sXvqzk0sytZQx7rtp34Dt/QHn83g8sn9Xl3Hfva0S7LKoB7sMdDCmgo2vJxaS3pi5EEoLXbGTVjy8q4viLAAAAKdowS5zyZzjhZJH51KSK5rfYY1ahA4CbqAFpzQi2KKSvhiLh1NG+vR/nxtRlHtYCZUg2AWbxc6eqASVotpmBjOPEsoHByXi5mCXM6mcFJS/J+w2q/xt1B3hmQuo1J5Em3H7mVROFlI54z47TSpzNIYSBLugdcXDAbnt9VfJ9SO96ndyhZL85mcPyNf/Y+rctnK5LB+985B86FsHLdt//bN2ywdf/gzxeVmAAwAAAAAAO1HVDVv9yq/8ypptn/nMZ6pq47bbbpNMZnVB2qte9ap1j4vFYvKiF71o1bZMJiO33XZbVf2bzreS/qvxyU9+Ug4cOHDu87ve9S4ZGxuzPKa7e3Wq8szMjOX3C4WCLC4unvvc1WUusALgjJASnJJrcLCL1p92foAbqMEuFmErdstYhMho5wc0m8/rkagSPNTIlUK1CeWsEorN5KKusnjEHO5yx8Onbe9Pa9Pv9chz9/bZ3h9gcqWyGtQDxxcb/ndQLbRgl95YUMI8/2GT0ApoJ2acLQwpl8tqYcguirMAAAAcowW7iIiMOxzud0gpPvZ5PTLUZ17JG3CLqDLW3ciAdasx/2iIcQw4Y2tnRMIB8zyDCSV0xS6FYkmOzCnBLh0BR/sG3CLg88qehPk5yelgl2KprAY4jVqEPgH1SsTMwS7lssh8A8IgRERml83BLl0RnrmASu3p1f/OdzogsFQqq8+RjD+g1UWCPvnr/7Zfnn9hv/qdQqksv/P5B+SL95+Qcrks7//6o/Ln3zls2e7v3Dgsf/CiC2xdFBkAAAAAADyBqm7Y6jWveY3E46tf1v3Lv/yL3H333RUdPz8/L7feeuuqbT6fT97whjdUdPyb3/zmNds+/OEPy8LCQkXH//CHP5Svf/3rq7YNDQ3Jz//8z1d0fCVOnTolv//7v3/u8549e+S9733vusddcMEFqz4/+OCDlt9/5JFHJJ/Pn/t84YUXVneiAOqiBadkG1zQmC2YwykIdoGbhZVgCquwFbulLfqisBdupq3E2chgF23yOsEu2EzagyK7lHmsdzw8bXt/WpvPHOqRjgiT2tEYV+02B7tkCyX52cmlBp9N9U4uZozbBzsjDT4ToHm0YBctdMUuM8tZOas8Q+7sItgFAADAKb2xkPREzc9bB50OdlHa390blZCfMXi4mzbW3dBxeIu+GIuHU7xejwz3xYz7JmacLcg9Nr8i+aI5TH0HobDYRLTxO6eDXY7Pr6jznazCAoF6JeLmYBeRJ8aVG4FgF6B+iVhQ2pSAQKeDXU4upiWTN9/DhhLmZ1uglYT8PvmLX71cXnrpoPqdUlnkXV/+D/kvn7lH/vaHj1m29+5f2Cv/3/PHCHUBAAAAAMAhVHXDVp2dnfLWt7511bZSqSSve93r1g1XKZVK8qY3vUlOnTq1avurX/1qGRoaqqj/5z3veXLNNdes2nbq1Cl585vfLKWSdZjC/Py8vO51r1vzvfe85z3i89n3Eubtb3+7nD179tznv/iLv5BwOLzucc961rNWff6nf/ony+9/9atftTwegLO0Sada0IpTtIkVIYIp4GIR5ffTKmzFbumc3ldECZ4B3EBdKbSBE8qXlb6YTI7N5uJu83PYz04uycnFtG39TM4m5bAyaf6mfQO29QOs58It7dKmPCfdf3S+wWdTvSnluhzsINgFm4deGJKUctlcPGUHq+CYnRRnAQAAOEorxHW6OFh7BqQwGK3AFcEuSjim16O/ZwPsMNJn/nf68Iyz942JafMYuNcjsq2dcHNsHqP95gL0ceUasYv27ObxUBQPZ3VHg+JV6spnk40JdplT+iHYBaicx+OR7R3mZ7bJ2ZSjfVsFx+zhHoYNIuDzyp++8lJ51VU7LL937zrzNt7/0n3ypudUVrMDAAAAAABqQ7ALbPfe975Xtm3btmrb+Pi4XHvttXLw4EHjMQsLC/Lyl79cvvSlL63a3t7eLh/60Ieq6v8Tn/jEmiCWL3zhC3LzzTfL4uKi8ZhHH31Urr32WpmYmFi1/aqrrpLXvva1VfVv5dvf/rZ84QtfOPf55ptvlhe84AUVHftLv/RLEos9NYj8uc99bs35Pml+fl7+/M///Nxnr9crr3nNa2o8awC1CPnNt9icErTiFK2/oI9HALiXGuySa9z1YxUiE1aub8AN4sqE8mVlkrcTtAnlsTDBLthcLu7WC+DvfPi0bf3cobTl8Yg8/8J+2/oB1uP3eeXyHV3Gffe1QLDLqSUl2KWTYBdsHmMD5gmsyWxBppYyjvWrFQ33tPkkHmJyPAAAgJO0cL+DFuF7djikPAOOKecDuIkWsJ5qYLCL1lc05GdVbThquM88djChhI/bRQuO2RIPSJB3t9hEtGe3EwsrspJz7j40oTy77exuY2EcOMrn9UhPLGTcN7fcmGCXWaWfrgjzH4BqqMEuDj9HasExA+1hFqjChuLzeuQDL7tIfuO63VUf6/WIfOQVl8h/feYu+08MAAAAAACswojUBvbCF75Qpqam1P2mfZdeeqllm9/85jdlcHDQ8juxWExuv/12ufHGG6VQeOqF4cGDB2Xfvn3y4he/WK6//nrZunWrzM3NyU9/+lP5/Oc/L6nU2sHTv/mbv1m3v/NdccUV8kd/9Efy3//7f1+1/atf/ap8+9vflle/+tVy8cUXS09Pjzz++OPyve99T77xjW9IqbS6WLyjo0Nuv/128XrtmQCQzWblLW95y7nP8XhcPvaxj1V8fHt7u7z5zW+WW2+9VUREcrmcvPSlL5VvfvObsmvXrnPfO3PmjLz85S+XM2fOnNv2qle9atV3ADhPC3bJNjjYResvFGByE9xLm/hjFbZiN62voM8rfoKR4GJaeEpDJ5QrkwaZEIHNpjcsMthWlqmVtYUUdzx8Wl73rOonU5jc8fC0cftl2zulrz1sSx9Apa7c1S0/ODy3Zvt9RxekVCqLV1tW0QWmFs2hFYOdXEfYPEYsimjHTy/LVoeCjrQVf3d2Bh3pDwAAAE/ZO2B+BpyYXnbs77iVXEGOz68Y940p5wO4SVwZh082cBxe60sLfwfsogW7HJ9fkUy+KGFlAY96acExO5QCYWCj0oJdymWRwzNJuXhbpyP9aqF8VuOJgF0SsZAxXGU26XywS75YkvmVnHFfd4RQI6Aa2zrM73wmZ50OdjG3P9QXdbRfoBk8Ho+89xcvkGjILx+/y7x48PkCPo98/Fcukxc+Y4vDZwcAAAAAAEQIdtnQHnnkETl27FhVx/z0pz+13J/LmV9SnO/666+X22+/XV796levCncplUryta99Tb72ta9ZHu/xeORjH/uY3HzzzRX1d753v/vdcvr0afn4xz++ansymZS//Mu/XPf4eDwu3/zmN2VoaKim/k0++MEPyuHDh899ft/73idbt26tqo33ve998o1vfEMeeeQRERF59NFH5cILL5QXv/jFMjQ0JKdOnZKvfe1rsrCwcO6YrVu3yp/92Z/Z80MAqJgWnNLwYBclnCLk5+Uy3Eub8JdpYLBLJmfuK0woElxOC09p6ITyjBLsokx2Bzayi7vNwS73PjYv86mcdEfrK1g/vZSRn55YNO67ad9AXW0Dtbhyd5dx+1I6LxMzSdcW6JXLZTm5mDbucyrIAnCj9nBABjvCMrW0NuhofHpZnru3z5F+x5XCkF1dBLsAAAA4bVT5Oy2VK8rJxbRs726zvc/DM0kpl837xigORguIBl0wDq/0FSXYBQ4bUYJdymWRI7MpuXCw3ZF+DyvBLtsJhcUms727TUJ+r3Hu0fi0c8EuE9Pma3C03/xvAmCn3nhI5NTa7aawF7vNp3Lq3y6dYebeAdXYrgTyHZ9fkWyh6Nh81knlOXIowT0MG5PH45G3//yoREM++cA3D1p+N+T3yqdfc4Vj74ABAAAAAMBaVKbCMa94xSvkrrvuku3bt1d1XE9Pj/zjP/6j/M7v/E5d/X/sYx+TT3ziE9LWVt1ks2c84xlyzz33yLXXXltX/083MTEhH/rQh859vvTSS+W3f/u3q24nHA7Lt7/9bdm3b9+5bel0Wr74xS/KBz/4Qfn7v//7VaEuO3bskO985zvS3d1d3w8AoGpBn/kWmys0LphCRCRXNAfJBP08AsC9IkqwS1oJW3FCWgmRiQSZmAF30yZta2ErTlhWJpRroTPARnZxt/lZrFQW+bdHp+tu/85HTqv7CHZBM1y2vUv8ymru9x6db/DZVO5MKic5JYRzkGAXbDJaYa+2Km+9SqWyuur2ToqzAAAAHDdqEaRy6LQzz4AHlXbDAa/scCBIBrCbNg6fyjbuPVaKYBc0yY7uNnUuxMSMM/eNYqmsBrvsYOwAm4zP65ERJUxFC0+uV75YkiNzWrALoXxwXiIWMm5vRLCLVR/dEeYPAdXY3mF+biuVRY6dWXGs38nZlHE7wS7Y6N747CF5/y9dpO5vC/rk7153JaEuAAAAAAA0GFXdcNSzn/1sOXjwoNx6660yPDxs+d2tW7fKH/zBH8jExIS87GUvs6X/t771rXLo0CH5nd/5nXXDTS655BL5y7/8S/nJT34iF154oS39P/08stknXvJ4vV759Kc/LT5fbS92BgcH5Z577pH3vve90t5uXukmHA7LW9/6VnnggQdkdHS05vMGULuQEkxhWjXHKcVSWfJF87IhIYJd4GJqsIsStuIENdhFOTfALeLKpG0tbMUJWogMwS7YjAbbRLZ1ho377nxYD2Wp1B1KG3sH4rKrN1p3+0C1IkGfXLS1w7jvfhcHu0wtptV9W5RrGNiotGIMpwpDTi6mZUUJ8dxFcRYAAIDjYiG/bOsyB1o6Fe43rgS7jPbHxauEhQJuEg8rAevZgpRK5nezdtPG/LVzA+zi93llT8I89qyFr9Tr5EJanWexUykQBjay0b7Gjt8dnUupc48IdkEjJOLuC3bxekTiIeYPAdXYEg+I9if/pEPPkUsreZlLmq9jgl2wGfzXa3bKn77ykjXXXnvYL//wG1fLtUO9zTkxAAAAAAA2Md7ob2BHjx5t9imIiEhbW5vccsstcsstt8j4+Lg8+OCDcuLECVlZWZFwOCyDg4Ny8cUXyzOe8QxH+t+2bZt8/OMflz/90z+VBx54QB566CGZnp6WfD4v0WhUdu3aJfv375ft27c70v/p06fl2muvlWuvvVZERHbv3i1XX311XW3GYjH5oz/6I/kf/+N/yA9+8AOZmJiQM2fOSEdHh+zevVtuuOEGaWtjNTOgmbTglGy+ccEu2orzIgS7wN0iQRcEuyiFhWGCXeByMWXStrZ6pxOSSl8Eu2Az8nhEbhzrkf/z45Nr9n1vYk5S2ULNq+guruTkniPmoIzn7xuoqU3ADlft7pYHTyyu2X7fY60X7BL0eaU3ap4wDGxUWjHGxHRSiqWy+GwutD2kFPWKsOo2AABAo+wdiMvjC2v/LrJ6VquHFhgzRmEwWoTVeN5KvtiQsXBtzD8aZBwezhvui8lBwz1iYtqZgtyJGf1+tL0j4EifgJuNDujjd04YV9r1eT1q0BNgJzXYRQlrsJPWR2fYZ/tYObDRBXwe2RIPyMmz+TX7JmeduYdNzuntDvVxD8Pm8PLLt8meREw+euchmT6bkQu2tMstzx+T7d3UmQAAAAAA0Ay80UdDjY6OyujoaFP69vl8sn//ftm/f39D+x0YGJD/9b/+lyNtB4NBufHGG+XGG290pH0AtQv6zMEpuaI7gl2CBLvAxbTwlEwDg120vrTQGcAtYiHzBFYtbMVuxVJZVpRgJC10BtjonjdqDnbJFUry3fFZeeEzttTU7r89OiNFZQXgm/b119QmYIcrd3XLX37vyJrtU0sZeXxhRbZ1uW+C0MnFjHH7ls4wq8Vj09GKabOFkhyfX5HdvfZOdNWKegdifokEGLsAAABohNH+uPzbozNrtjsW7KK0O6YUKQNuYxXcksoWGhTswjg8mmekLy4ip9ZstwpgqcfEjLkgtz/mlzBjB9iERvtjxu0nF9OynMlLPGxv4JE2frerp01CfuZPwHlasMvccgOCXZQ+uiL87gO12N6hBbukHOlvUnmOjAZ9MtAedqRPwI0u3d4pn/31+hYlBgAAAAAA9uDtJgAADggpE4iyhcYFU1j1xeQKuFlECXZJK2ERTkhrwS7KuQFuEQuZf0eTmcYEu6Ryej+NmMwOuNEl29qlN2aecHjHw6drblc7dltXRC7c0l5zu0C99u/sUvfdd3S+gWdSuVOLa1emFxEZ7Ig0+EyA5hvui4lHyTNyorB3XCkM2dkVtL0vAAAAmGmBKpOzSctFBGqxkMrJjFIcOaqEDAJuYzXWvdygsXitH8bh0QgjSqjE0TMrtt83REQmps0FuTs6GTvA5vREuJKZFoRUjwll/I5nNzRKQnnPejZTcHyBKC3YpTvCMxdQi+0d5ue3yVn7719PtGsOjBnqi4lHexkGAAAAAAAAOIhgFwAAHKAFp2Tz9k9k0mQtJk2F/DwCwL0iQfPvpxa24oR0znz9EOwCt9NW41zONmYyuVWADBPKsVl5PR75+Qv7jfu+c3CmponuK7mCfG981rjvpn0DTEJCU3VFgzLSZy7uuO/oQoPPpjJTS0qwSyfBLth8IkGf7OxuM+7TijjqoYXF7KI4CwAAoGG0YJdCqSyPzdm7avYhi2fKvcp5AG4TVQLWRURSDRqL1/qxOjfALsPK2F+xVJajZ+y9b4iIHJ4x3zt2dARs7wtoBVs7IxINmv+9H29gMDPBLmiURNwc7CIiMpc0B6/YZVZpvyvCMxdQi+3K89vkTFLK5bLt/WmBMUMJ8/MsAAAAAAAA4DSqugEAcEBQCU6xCluxG8EuaFVaeEpDg12UvsLKBCnALWIh8ySIRk0mT1r0o4XOAJvBTfvMwS7LmYL86MiZqtv73vis+qx3076BqtsD7Hbl7m7j9vsem2/wmVTm5GLGuH1rZ7jBZwK4g1aUYVWEW4tCsSRHlNUSdxLsAgAA0DB7emPi95pDYu1+BtSC/TrbApYFm4CbRIP6WLfVGLmdtH60dwSAnXb1RMWn3Dcmps3Fs7Uql8tyeMbcJmMH2Ky8Xo8MK+N34zZfg9lCUY6eWTHuI9gFjZKI6X8nzC47HOyitN9JsAtQk+0d5ue3VK4op8+a39fWY1J5jhxKRG3vCwAAAAAAAKgEVd0AADhAC07JNTTYRQ/BCPl5wQz3CivBLplc44JdMkqwixY6A7hFLGSeUL6SK0qxZP/qNuezmrQeZ0I5NrFrh3olrlyfdzx8uur27nh42ri9JxqUK3Z2Vd0eYLerdpmDXSZmkrKQyjX4bNY3tZg2bh/sjDT4TAB30IoytNV5a3X0zIrkiuZxkl1dFGcBAAA0StDvlT1KUdO4EsRSKy0oZqw/Lh6POSQAcBuv1yNRZSGARgW7aGHusRDvseC8oN8ru3rajPu0EJZanVrKSEp5R6wVBgObwVh/zLjd7vG7I7Mp9R3z2ID5HAC7tUf8EvSZ5+E5Hewyp7TfTbALUJNtHfq8ockZ80IAtcoVSnJs3hxONpTgHgYAAAAAAIDmINgFAAAHaMEpVmErdstahMiEAjwCwL0iymTYtBK24oS0MkGQYBe4nRbsItKYCeXJjLkPr0ckzL0Hm1jQ75Xn7u0z7vv2I9NSqiJ4KV8syV2PmoNdfv7CfnWlVKCRrtxtDnYREbnv6HwDz2R92UJRnfi7hWAXbFKjA+ZglyOzKVsDa7VCE5/XI9vaCQUEAABoJC3c76DdwS5Ke2PKMyjgVrGweSxeC1yxmzber50XYLeRPvO/2xMz9t43JiyCYnZ0MnaAzatRwcxaewGfR3b2mIMBAbt5PB5JxEPGfbNJZ4NdtPdHXRGeuYBaxEM+6Qqb595NztobEHh8Xg8nG+oj2AUAAAAAAADNQWUdAAAOCPnNt1irsBW7ZfN6X9pKJoAbaOEpDQ12UfrSQmcAt7CatN2QYBd1lVA/K+5i07tp34Bx++xyVh44sVBxO/ccOSNnlRAlrQ+g0bZ2RmSrEoritmCX00sZdd/WznADzwRwjzGlMKRQKstjc/atmKgV9e7sjkhQGVcBAACAM/YqwSp2FgeXy2UZJ9gFG0RUCVlvxDi8VT/RIEXGaIyRfnMx7GGLIJZaTCj3of72kER5b4tNTAt2mVnOyuJKzrZ+tGfBoURMAsw7QgP1asEuSvCKHTL5oiwrz1xdEe5BQK22dZjD+ewOdjk8Y36f5fWI7Oxps7UvAAAAAAAAoFK8XQEAwAFaAZKdK1uvJ1c09xXwecTrpbge7qUFu2TyJSkpK2nYTQt2CSvnBrhFTJlMLtK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"text/plain": [ "
" ] @@ -341,7 +341,7 @@ "outputs": [ { "data": { - "image/png": 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Cj7KOt7c39u7dKxzQnpqaipEjRxqhVxnz8/OTfIYdOHAAERERWrV3584dyWCNGjVqoFSpUtp2kcjomjRpIqyHh4dncU+ItHfu3DlJzdnZWRI6R0QkkpSUhDNnzmD16tVYsGAB5s+fj7///hvHjh1DVFSUsbtHUH288vLlyyzuCZH+yOVyYfBogwYNUKhQIVSoUAHly5eXTBeFjRIRkTJV1zT8/f21brNevXoaretLqsJzBw0aBHNzc636M2TIEGF948aNWrVnSnr06CGsaxoif+zYMeHrM2jQINjZ2WncL1XXv9V5zt++fSupeXp6qrXe4sWLKz1OSEhAUlJSpstdvnwZq1atUqrNmTMHzs7Oaq2XiIiIiIiIiIiIiIiIiIiIKCfS/dZFREREZJJ+/fVXxMfHS+qenp6YPn26wddfsmTJTOdRdXe+Ro0aoWvXrnrtj6OjI3777Td0795dMi0gIAAhISGoUKGCXtepiUaNGgl/HHz37l0j9Ea//P39sWzZMkk9MDAQ1atX16it9GEtxYsXR6FChQAA5cuXV7pj5KlTpzTuq6owGF1+eK9PzZs3R82aNXH+/Hml+t9//43Ro0ejWLFiRuqZ4VWpUgWzZ8/G6NGjJdNOnDiBs2fPolatWkbomZhMJkOvXr0wc+bMtFpKSgo2bdqEn376SeP2RAPo+vTpo0MP1Xf58mUEBQXh4sWLePDgASIiIpCYmAhra2s4OTnB09MTVapUQYMGDdCkSRNYWVllSb+AT3cdDggIQFBQEO7cuYPw8HAkJCQgd+7c+OabbzB79mw0b97c6G3HxMSkhZmFhobiyZMniIuLQ2pqKuzs7ODm5oZSpUqhdu3aaNOmjdqDK7I7VQFu2gYgfRYXF4dTp07hwoULuHPnDu7evYvIyEjExcUhKSkJzs7OcHFxQb58+VC9enXUrVsXdevWhZOTk1brW7VqFZ49e5b2WC6XI0+ePOjVq5dO2/Gls2fP4vDhw0o1mUyG0aNHw9bWVm/rMQUxMTHYsWMHDh48iOvXryM8PBzv37+Hi4sL8ubNi3LlyqFZs2Zo2bIlXFxcjN1dvHr1SlIrVqyYJHAuO/jzzz8RExOT4TwbNmxQe0Db5MmT9dArykqJiYkICAjA/v37ce3aNTx79gwJCQlwdHRE3rx5Ubx4cTRu3BjNmzeHh4eHwfqRmpqKEydO4NixY7h8+TIePnyIN2/eIDExEVZWVnB1dYWnpyeqV6+OJk2aoH79+lm2z0VHR2PPnj04duwYbty4gadPnyI+Ph7m5uYoUqQI+vTpo1Zw6OXLl/Hbb78hICAAiYmJwnnMzc3h6+uL4cOHo23btkrbOHnyZNy4cSPtsUKhQOvWrdG+fXthW1euXMF///0nqQ8bNgx58uTJtL/qSExMxPz586FQKJTqjRo1Qu3atfWyDmMw1PHKy5cvceLECQQHB+POnTu4f/8+YmJiEBcXB4VCARcXF7i4uKBw4cKoXbs26tatCx8fH4McaycmJuK///7D+fPnERwcnHasGhcXB3Nzc+TOnRt2dnYoUqQI3N3dUapUKVSqVAnVqlWDo6Oj3voRHx+P/fv3IzAwECEhIQgLC0NMTAySkpJgY2OD/Pnzo2TJkqhVqxa+/fZblCtXTm/rTu/s2bPYsWMHzpw5gwcPHiA2NhaWlpZwcXFBqVKlUKtWLbRv3x4VK1Y0WB8M6fjx43j69Kmk/uXxa69evSTn3yEhIQgODkalSpUM3sesJJfLERwcjFOnTuHmzZu4c+cOnj59iri4OLx79w65c+dO2ye9vb1Rt25d+Pn5qXXtM7t6+PAhTp48ievXr+POnTt49OhR2meUubk5XFxc4OrqiqJFi6JatWqoVasWKleunKV9TEhIQEBAAA4cOIDr16/j2bNniI+Ph5WVFfLnz4+yZcumXWPW13dddhIUFITAwECkpKQAAEJDQyXzXL9+Xe2w6NatW6cFPhnruEKhUMDPzw8+Pj56WYehREZGCuufr2FrQ9Wy6gQBnjhxQljX9noZAJQoUQIlSpTA/fv3leq7d+/GwoULtW7XFBQpUgRFixaVfE9qGkL877//Cus9e/bUql8lS5ZEjRo1JMHfu3fvRkpKCiwsVP/sJzY2VlJzcHBQa72i+WJiYoQ3UfhMoVBg+PDhkMvlabUqVaqgf//+aq2TiIiIiIiIiIiIiIiIiIiIKKdisAsREVEOlJSUhNWrVwunzZgxA7ly5criHkldvHgRwcHBwmmLFi0yyDq7deuGxYsXS378CgDLly8Xho9klVKlSgnrb968yeKe6J+fn5+wHhgYiDFjxqjdzps3b3Dr1i2lWt26ddP+X6dOHaVgl2vXriE2NlajgWaiYBeZTKa0HmObOXMmGjdurFRLTk7GtGnTcvzds0eMGIFly5bh4cOHkmlLliwxqWAXAOjduzdmzZqlNAhl3bp1Gge7pKamYsOGDUo1a2trdOnSRS/9FFEoFPjnn3/w22+/4d69e8J5EhMTkZiYiJcvX+L06dNYtGgRXFxcMGLECIwcOVKru88CwMmTJ4V3Iv7yebx79y7GjBmDvXv3SgYPA5+CPYKDg3Hv3j2lgSpBQUFo2rSpQdoWefLkCWbNmoUNGzYgOTlZOE9MTAxiYmJw8+ZN7Ny5E6NGjUL9+vUxY8YM+Pr6Zth+dmdjYyOsazNg+dmzZ/jnn3+wY8cOXLp0CampqSrnjYyMRGRkJO7evYtTp07hf//7H3Lnzo1BgwZh9OjRGg+2ioyMxIwZM5RqFhYWaNKkSYYDXTQxfvx4SWBZtWrVMG3aNL20b2hhYWHCEIjHjx+nDZh///49Zs+ejcWLF+Pdu3eSeSMiIhAREYGbN29i69atcHBwwMSJE/Hjjz/C2tra0JugkmhgvzH785k6n6XpLViwAE+ePMmwXVXnGCKqgl369OmDdevWKdV69+4tuZu3JtR5j33NZDKZpHbixIm08MLU1FQsWrQIP//8s/D84+3bt3j79i3u3LmDvXv3YsyYMfjhhx8wefJktQcEqiM2NhaLFy/Gn3/+qTI04/3793j+/DmeP3+OoKAgLFiwAEWLFsWECRMwYMAAmJuba7Vu0XJfPkcxMTGYNm0aVq5cqTKI5d69e8JzzS+9e/cOP/74I1avXp3h/gh8el0CAwMRGBiI2rVrY/369Wnhb6dPn5acu5QuXVplWwUKFMDs2bMl3492dnbC4ERtbN26VRgi26lTJ720byz6PF65du0atm/fjn379qk8xv4sPDwc4eHhuHnzJg4dOgQAcHNzw+jRozFw4EDkzp1b4/WnFxERgalTp2LTpk3C717gUzhlUlISoqOj8ezZM5w9ezZtmrm5Ofz8/NCjRw/07dtX6348evQIP//8MzZt2oT3798L53n37h3evXuHhw8f4sCBA5gyZQpq1KiBWbNmoVGjRlqvO71Lly5h8uTJuHjxomRaSkoKXrx4gRcvXuD48eOYPXs26tevj0WLFqFs2bJ660NWWLNmjaRmZ2eHtm3bpj3u3r07xo0bJ/ncWLNmjdrBLsOGDcOSJUuUag4ODnj16pXKfUtTv//+u+QcWyaT4eHDhxmGkH348AH79+/H1q1bceTIkQzD7T4HHYWFheHq1avYuHEjAKB+/fqYNGkS6tevr9M2+Pv7Sz7Tp02bliXB3J8pFAqcOXMGW7Zswd69e4XBP1/6vC9cv34de/fuBfApfHnChAno2bMnLC0tDdbX1NRU/Pbbb5g3bx7evn0rmZ6SkoLHjx/j8ePH+O+//zBmzBgMHToU06dP1/q4Ze3atZLPuWLFiiEsLEyr9rTh7u4uOVZfs2aNytDf48ePS85T0wsODlZ5fT69woULpwW7GPO44sqVK3pp35D08R2tLnWue9+5c0dSs7OzQ5kyZXRad82aNSXBLpGRkQgODja5a7SaKlCggORz8PXr1xq1cfToUUmtRIkSKv8OpI6WLVtKzjfi4+Nx/vx5ja8hZnYuoul8X1q3bp1SML1MJsMff/yRLQNwiYiIiIiIiIiIiIiIiIiIiPSJv54gIiLKgQICAoQ/bC9UqBA6d+5shB5JpQ8p+MzX1zfDAWm6GjBggLC+ZcsWfPjwwWDrzYyLi4uwLnods5v8+fPDy8tLUj99+rTSXRszExQUJPkh8ZeBK+nDV+RyudIPiDPz8eNHnDt3TlL39vZG3rx51W7H0Hx9fdGwYUNJfcOGDbh9+7YRepR1LCwsVIYB7d6926j7sIinp6fkR/UhISFKAUTqOHLkCF6+fKlU+/bbb+Hk5KRjD8WePXuGevXqYfDgwZkOOE0vKioK06ZNQ5kyZVTeEVhXK1euRPny5fHff/9pNbggq9pesmQJvL29sWrVKpWhLqocP34cderUwcCBA1UObs0JVIWXqfpOVOW3335DsWLFMGbMGJw/fz7DUBdVEhMTsXDhQhQvXhxbtmzRaNnvvvtOMrg7JSUlbcCnru7cuSMJdQGAgQMH6qV9U3D37l1UrFgRc+fOVTmwPL24uDiMHz8ejRs3Rnx8vIF7qJrortgvXrwwQk+ItPPq1Sv4+vpi1KhRaodKJiUlYf78+ahVq5bGd65XZefOnfDy8sLUqVNVhrqo8vTpUwwZMgQ+Pj4GGWB94cIFeHt7Y/HixSpDXdQRHh6OWrVqYdWqVRofZ5w5cwY1a9bUejCzm5sbWrZsKamvWLFCq/ZERG3Vrl0b3t7eeluHMejreKVjx46oVasWFi5cqPEx9mcvXrzATz/9BG9vb4SEhGjVxmc7duyAl5cX/vrrL7W/e9NLTU3F8ePHNQpsTb/8rFmz4O3tjZUrV2p83HvhwgU0btwYvXv31mnf/GzBggVo2rSpMNRFlePHj6NKlSrZKmQ1Li4Ou3btktTbt2+vFEZQoEABYWjO5s2b1T6/6d27t9rr11b6sDjg0/WhjEJdnjx5gvz586N9+/bYvn17hqEuGTl+/DgaNGiAbt26ZfvztooVK6JOnTpYunRppqEuqjx48AD9+vVDtWrVMg0L1Nbbt29Rt25djB07Vu1rpklJSVi4cCEqVaqk8fUYEjPmcYUh/26gL6rCYtNf29OEqmWLFSuW6bKiYxk3NzedQzaKFCkirIuuX2Q3omN1TW6W8Pz5czx+/FhSF4WvakLV8qKw+i+JAoDUvY4imi+ja9KxsbEYP368Uq1Xr17w8fFRa31EREREREREREREREREREREORmDXYiIiHKggIAAYb1z584GvWOqJvbv3y+sq7rLqL506tRJeNfM2NhYo/7oWNUgJFN5vXTl5+cnqcXGxmo0oCIoKEhS+zLMpU6dOpLpZ86cUbv9K1euICEhQVL39/dXu42sMmPGDMhkMqWaXC7H5MmTjdSjrNOlSxfhnb0TExMNFiSiC9FnmmjgWUZEgwQN9VkZHByMatWq4fTp0zq18/TpUzRu3Fh4J3hd/PbbbxgwYIDGQSlZ2bZCocCgQYMwbNgwnQeYrlixAn5+foiKitKpHVOlatBs2bJlNWonIiJCbyE/79+/R7du3YR3BlclX758aNeunaS+ceNGvfRLNKDN3t4eXbt21bltUxAaGopatWppPcg9KCgIjRs3RkpKip57pp48efJIas+fP8etW7eM0BsizTx//hw+Pj4ahSF+6ebNm6hTpw5iY2N16se4cePQvn17vHr1Sqd2Ll26hGrVqul10PaZM2dQr149nQNsoqOj0aBBA4SGhmrdRmRkJJo3b671YPkhQ4ZIavfu3ct0IKg6QkNDhe+jnBBCpup4pVy5chq1o2lgUUaePHmC2rVrY9++fVotv2XLFnTu3BnR0dF665Om4uLi0LRpU0ydOhVJSUk6tbV+/Xr4+fnptD3jxo3DnDlzNAqf/Sw5ORl9+/bFqlWrtF5/Vtq6daswhKRnz56SWq9evSS1t2/f4r///lNrXdWqVUOZMmUkdU3PiVW5fv268DM/s/Pl9+/fIy4uTi99AD7tU3Xr1s3W4cyvX7/WW1shISGoVq0aLl26pLc2gU/XEf39/XH27Fmtln/06BH8/f21Pu4hZcY4rujfv7+kFhYWBplMJvnn7u6ucz+0pSrA4uTJk1q3KbrmaWZmhtq1a2e6rCjYRR9h0c7OzsJ6cHCwzm0b26NHjyS1AgUKqL28qjDGKlWqaN0nAKhUqRLMzc0l9cyec1dXV0lNFDwjkv65sLW1hbW1tcr5p0+frvSd4uDggHnz5qm1LiIiIiIiIiIiIiIiIiIiIqKcTnpbYSIiIsrWFAoFDh8+LJzWunXrLO6N2I0bN4QD48zNzdGxY0eDrtve3h4tW7bEtm3bJNMOHTokvBtxVlA1gELTu4CbKn9/f/z111+SemBgICpXrqxWG+kHBhQuXFjpDsz58+dHyZIllQaGazLYQ9XAA1EojbFVqlQJ7du3x7///qtU37lzZ9qA1pzK0dERdevWxaFDhyTTAgMD0axZMyP0SrWOHTti+PDhSgEfmzdvxvz582FhkfnpWExMjCSsq2DBgmjcuLHe+/rw4UM0atRI5WA0mUyGWrVqoXTp0ihQoABiYmLw5MkTHD9+XBiKlJKSgv79+8POzk4vn+0HDx7E6NGjJfXixYujZs2ayJcvH+zt7REVFYXQ0FCNgp302fZPP/2Ev//+W+X0fPnywd/fH25ubsiVKxdevHiBq1ev4saNG8L5L126hCZNmuD06dMZDpzIjjZv3iypmZubw9fXVy/tOzg4oHz58ihevDgcHR3h6OiI5ORkxMTE4M6dO7hy5YrKOxTPmDED5cqVQ/v27dVa1+DBg7F161alWlhYGAIDA9GqVSuttyE5ORnr16+X1Lt16wZbW1ut2zUVr169Qrt27SThRUWLFoWvry/y588POzs7REZG4vLly7hy5YowLOf8+fP49ddfMXHixKzqeprixYsjLCxMUp8yZQp27NiR5f0hUldCQgKaNm0qef/my5cPfn5+KFSoEBwdHfH27du0777U1FRJOw8fPsSYMWMy/O7LyLBhw7BkyRKV011dXeHr64vChQvDxcUFCQkJePHiBU6ePCk8h3rz5g0aNWqEa9euwc3NTas+fRYeHo7hw4dLAhBcXV3h7++PQoUKpfUps4HM/fv3x+3bt4XTSpUqhV69eqFZs2YoXLgwHBwcEB4ejjt37uDff//F1q1b0461IiIihEEL6mjcuDE8PT0lgzM/B8npQhRC5uzsbPDze0N7/fo1jh49KqmXKVNGGOyljYIFC6JChQpwc3ODo6Mj7O3tkZCQgKioKISEhOD69ev4+PGjZLmEhAR069YN165dUzovzsyjR4/w3XffCfdn4FNgWZUqVfDNN9/A0dERVlZWiI+PR1xcHB49eoTQ0FBERkZqvb0A8O7dOzRu3BgXLlxQOY+Hhwd8fHyQL18+ODg4ICoqCo8fP8bJkyeF5x6XL19G69atcfLkSeGA54z873//y/AzzM3NDXXr1oWbmxvMzc3x/PlznDt3TrIvDRkyROOAQmMQhW8WLlwY9erVk9TbtGkDBwcHSQjK2rVr1T5O7t27N8aOHatUO3r0KF68eKHz57QoIMbW1hYdOnTQqj1zc3OUKlUKZcuWhaurKxwdHWFpaYnY2Fi8ePECly9fVhmudfnyZfTt2xd79uzRat2mqlixYihfvjwKFCgAR0dH2NraIj4+HpGRkQgODsbt27eFnyeRkZHo0KEDrl27pjL8QVM9e/aUnDdbW1ujXr168PDwgKurKyIiInDv3j2cOnVK2K/Y2Fi0atUKly5dMmrwR07A4wrVWrRoARsbG8kx5JIlS9CvXz9JWHdmnj17hl27dknqrVq1Umv/0lcQrrp0CTI0BTdu3BBeG/X09FS7DVXPgbe3t9b9AoDcuXOjWLFikv3u+vXrGS5Xvnx5Se3y5cuoWrVqputMH1Ijauuzmzdv4s8//1SqTZ8+Hfnz5890PURERERERERERERERERERERfAwa7EBER5TAPHz4U3oXR2toaNWvWNEKPpFTdsbV06dJwcHAw+PqrV68uDHZRdSfurKAqJEB0Z+PsSNUP+k+ePImffvop0+VjYmIkP1CuW7euZL46deooBbuEhIQgPj4e9vb2ma5D1UBMf3//TJc1hpkzZ2LXrl2SgSoTJ07EkSNHjNSrrOHv7y8Mdrl69aoRepMxe3t7tGvXDhs3bkyrRUREYP/+/WqFbW3duhUfPnxQqvXo0UPjwYqZSU1NRc+ePYUDF2QyGQYPHoyJEyeicOHCkukJCQlYu3YtJkyYIAnJkMvlGDhwIHx8fITLaqJ///5Kg1Hatm2LWbNmqfycfPPmjdp3HddX2/v378eiRYuEy3h4eOD3339HixYthK/f9evXMXr0aOH+e/nyZUycOBH/+9//1Nqe7GDp0qXC44EmTZpodBfkL8lkMvj4+KBdu3Zo3bo1ihcvnuGAqY8fPyIgIAC//PKL8G7K/fv3R82aNdUacOrn54fSpUtLBu2vW7dOp2CXnTt3Co/rBg4cqHWbpqRfv35KYX/NmjXD7NmzVYa+3bt3D99//71wkP2sWbPQt29fFCxY0GD9Falfv76wPzt37sTQoUPx22+/IVeuXFnaJ22lD/gQ7T8nTpww2WMj0szYsWNx69attMc1a9bEzz//DD8/P+Fr//z5c4wcORLbt2+XTFu5ciUGDx6sdmDjZ7///rvKUJfmzZtj3LhxqFOnjrA/CoUCR44cwdixYxESEqI07c2bN+jduzeOHDmi8cDZL40ZM0bp2KhChQqYP38+GjRoADMzM8n8ycnJuHz5sqQeEBCAnTt3Surm5uaYNm0axo8fD0tLS6Vp7u7ucHd3R9OmTTFx4kT07dsXQUFBAICgoCDJ/OqQyWQYOHAgxo8fr1TfsWMHFi9erHWo6IcPH5SOdT/r0aMHbGxstGrTFCgUCowYMUIYIvLdd99p3W6uXLnQuHFjtG/fHk2bNkW+fPkynD8mJgYbN27EnDlz8OrVK6VpcXFx6Nq1K86dO6f2e33s2LGS8wsAqF27NmbOnAl/f3/h+/tLjx49wu7du7F3716cPHlSrfV+plAo0LNnT2Goi7W1Nfr27YuRI0eiRIkSwuWTkpKwdu1aTJ06FREREUrTTp8+jTlz5mDq1Klq9+f27duYMmWKcFqpUqWwePFiNGzYUPicnD59GiNGjEg7D/348SP69eun9rqN4c6dOzh//ryk3r17d+E22tjYoEOHDli9erVS/eDBg3j16pVax+09e/bEhAkTlK5dyOVybNy4EePGjdNiKz5JSUnBpk2bJPX27dvDzs5O7XaKFCmCNm3aoH379qhRo0amx22hoaH4888/sXLlSsjlcqVp//33H5YuXYqhQ4eqvX5T4+DggBYtWqBdu3Zo2LAhnJycMpz/xYsXWL58ORYtWiS5HvD06VMMGjRIeA1WU9u3b1c6brG2tsa0adMwZMgQYR9fvXqFX3/9FYsWLZK8Tm/evMHAgQNVBqPnFNOnT8fUqVORlJQE4NM5ZPrv6969e2Pt2rVatW+s44rP22PKXFxc0K9fP0nAxbVr1zB37lxMmjRJ7baSk5PRt29fyXe3ubm5yu+v9JydnSUh+zExMWr3QZXo6GhhPSwsLMvDZPRJ9P4DgKZNm6rdRvrglc+KFy+uVZ/St5G+/SdPnkAul6s8hitZsiScnJyUXvddu3Zh8ODBGa7r2bNnkmt31atXVzn/Dz/8gJSUlLTH3t7eGD58eIbrICIiIiIiIiIiIiIiIiIiIvqaZPwLXSIiIsp2goODhfXSpUubzKBSVXcQrFKlSpasX9WAw2vXrhnlR8fx8fHYu3evcFrt2rWzuDeGUbBgQZQsWVJSP3XqlGSAhYhoPlFYTPqwl5SUlAzvAv5ZamqqMFzH29sbefPmzXR5YyhVqhR69+4tqR89ehQnTpwwQo+yTsWKFYV1U70jbJ8+fSQ10Z3FRUQDbETt6erXX3/FuXPnJPVcuXJh+/bt+OOPP1QGs9ja2uL7779HaGiocABmTEwM+vTpo/Pn64sXLwB8GryyYcMG7Ny5M8Pwqzx58qgdjqWPtqOiotC/f3/h/K1atcL169fRunVrlaE85cuXx6FDhzB37lzh9N9//11lAFV2kpKSgl9++UU4sMPS0hIzZ87UuE1ra2t89913uHXrFs6cOYNRo0ahRIkSmQ5wtrS0RIcOHXDhwgVMnjxZMj0mJkZlUI+IaEDM/v37ERkZqXYb6YnuVF6lShWNwxNM1efBmebm5li2bBn279+f4baVLFkSBw8eRIcOHSTTPnz4gPXr1xusr6q0b99e5eCpZcuWoXTp0li4cKFk8DmRsX05OHrixIk4d+4c/P39VX52FipUCOvWrRN+fisUCuHnVUauX7+OsWPHSuq2trbYuHEj9u3bh7p166rsj0wmQ+PGjXHp0iX07NlTMv3YsWOSwbSa+nx8AABDhw7FlStX0KhRI5X7vJWVFWrVqqVUS0pKwrBhw4Tzr1ixAlOmTMk0pMXT0xOHDx9GvXr10mofP35UdzOUfPfdd7CyslKqffjwARs2bNCqPeDTYHvRwN7sHEL29u1bdO/eHf/8849kmqenp1ahDXny5MGkSZNw//597Nq1C7169co01AUAnJycMGzYMNy6dQvNmzeXTL9w4QIOHDigVh9UXXvo2rUrAgMDUb9+/UxDXYBPwUNDhgzBvn37cOXKFY3OT/766y/s3r1bUvf09MTZs2exbNkylaEuwKfjvkGDBuHatWuoVKmSZPqsWbNUXhdLT6FQYPDgwUhOTpZMa9euHYKDg9G4cWOVz4mvry/Onz+vdA5w8+ZNtdZtLKoCHHr16qVyGdG0lJQUlQPf0ytQoACaNGkiqat7TqzKoUOHhGGb6r4fq1evjh07diAsLAyLFy+Gn5+fWtdNy5Urh7/++gtBQUFwdXWVTJ8zZ47SoPbsomjRoli4cCFevnyJzZs3o0OHDpmGugCfXt9Ro0bh3Llzwn0yfSCLtr5sI1++fLh06RImTJigso8FChTAb7/9hsOHDwtDxo4cOaL2e5hU43GFanPmzEHRokUl9cmTJ2PChAlqHcu9fPkSLVq0wLFjxyTTpkyZovbfUkSfVS9fvlTrmnxGnj17Jqx/+PBBEiSTXURFReGvv/4STtMktPfJkyeSmoWFBfLnz6913z4rVKiQpJacnIyXL1+qXEYmk0mOI48cOSIMpfzS3LlzJddz27RpI5x3+/btOH78uFLtjz/+gIUF7zNFRERERERERERERERERERE9BmDXYiIiHKYBw8eCOulS5fO4p6o9vDhQ2Hd2MEu8fHxwkEhhjZ37lxERUVJ6rlz51b5Q9nsSBTEEh0drVYYhyjMIH2ICwDUqVNHUhMFtqQXHByMuLg4SV3UZ1Mybdo0WFtbS+oTJ040Qm+yjqrPs9evX2s9yNWQ6tWrhyJFiijV9u7di7dv32a43J07dyTBRFWrVoW3t7de+xcTE4PZs2dL6mZmZli1ahUaNGigVjvFihXDoUOHhHdtP3bsGPbv369zXwFg1apV6NGjh17a0mfbCxYsEA5cqV27NrZt26bWXeNlMhkmTJggvHO9XC7HmDFjtOqbsSgUCrx79w7Pnj3DwYMHMWnSJBQvXhwTJkyQDCCSyWRYvHixVu/vadOmYdWqVfDy8tKqn+bm5pg1axZGjhwpmbZq1Sq8f/9erXZ69eqF3LlzK9WSk5O1Dht58OCBMKhrwIABWrVnypYtW5bpnaI/Mzc3x8qVK4WfNboOENZGyZIl0aVLF5XTw8LCMHLkSBQsWBC1a9fGhAkTsGfPHqMccxKJTJw4EXPmzFF7/jlz5qBs2bKS+tatW4XhCKp8//33kuM2Kysr7Nu3D927d1e7HUtLS6xfv1543vTrr7/qZXB93759sWTJEpXhbBnZsWMHnj9/LqmPGDECffv2Vbsda2tr7N69GwULFtS4D1/Kmzcv2rdvL6lrGszzpb///ltSq1mzpvB9YopSU1MRGxuLe/fuYceOHRgwYAC++eYbbNmyRTKvk5MT/v33X61Cc7dv345JkyYJB1erw9nZGTt37pSEBwFQO8QoKCgISUlJSjVbW1ssX75cq/c3AHh5eeHXX39Va96oqCiMHz9eUi9atCjOnDmjUXBdwYIFcfz4cbi7uyvVU1JSMG/ePLXa2L17N4KCgiT1OnXqYPPmzcIwiPQsLS3x119/ZYtrN6mpqcKwhSpVqmR4DF63bl3J8wwAa9asUXvdorCV27dv4+LFi2q3kZ7ouM/d3R3+/v6ZLluyZElcuHAB7dq1UyvMSKR27do4dOiQJNTi5cuX2Llzp1ZtGtP58+fx448/wtbWVqvl3dzcsHPnThQvXlwyTdegtS/lzp0b+/btQ7ly5dSav0GDBtiyZYswKG7s2LEmeQ0pO+FxhWoODg44cOCAMDD8l19+gaenJ2bOnIkzZ84gMjISycnJSExMxLNnzxAQEIABAwagePHiOHr0qGT5ESNGYNq0aWr3xcPDQ1KLj4/XOXQpozD17BpsOmXKFMTExEjqTZo0EX4XqiLa/nz58mUaQKwO0bUQAJmGCvfr10/psUKhQI8ePYR/lwKAnTt3SkJuvLy8hN+ziYmJGDVqlFKtQ4cOqF+/foZ9IiIiIiIiIiIiIiIiIiIiIvraMNiFiEgDKalyPItKxPPoRLyIeZ/273l0Ip5FZc9/OWlb9L09Kam63bHQWESDxgCgcOHCWdwT1b688/mX0gcfGIqjoyPs7e2F01T1zVBWrFihctDR8OHD1QoCUFdgYCBkMpnKf+bm5sidO3faP3Nz8wzn1/SHyKpCUkShLZnNky9fPuEAfg8PD8l7XZ1gF1V9UGdAkDEVLVpUOBD+/PnzCAgIMEKPsoaqAa0KhSLDu5Mai5mZmeQu58nJycLBol8S3U1d3buPa2LNmjVITEyU1Hv27Cm5m2tmPDw8sHjxYuE0fQzmatWqFXr37q1zO/puOykpCStXrpTUc+XKhQ0bNmg8+HfOnDnCgWqXLl3KcOBMVsvsO8LMzAz29vYoWrQomjVrhrlz5wrvWpwvXz5s3bpV6+df28GY6c2ePVtyR+2oqCgcOHBAreWdnJzQuXNnSX3VqlVa9WflypWSOyPb2dmhW7duWrVnqtq2batxWI2joyNGjBghqd++fTvT0CxDWLBgAdzc3DKcRy6X4+zZs/jll1/w7bffokCBAihWrBg6duyIBQsW4OLFi3oJoCDT1a9fv0w/NzX5p49jgmrVqmHGjBkaLWNhYSEMGouJiVErsBH4dHf406dPS+oLFizQOlhx9erVkoGzz58/x44dO7Rq7zM3Nzf8/vvvWi8vOj7Imzevxs878GmAsLqBFRkRnT/cvHkTZ8+e1bitO3fuCF/LgQMHatU3fcvsHFgmk8HCwgJOTk4oVaoUOnTogJUrVyI2NlbSVqVKlXD69GlUqlRJq77o43jF2toay5cvl7R18OBBvHnzJtPlnz17JqnVqVMHDg4OOvdNHf/73/8kz625uTkCAgJUDlLOiJOTkzCoRFWgUnqi8ABra2usWrVKGKCqipmZGVasWAEnJye1lzGGQ4cOCc+Xe/bsmeFyMplMGH5569YttYNZWrduDRcXF0ld21C+6Oho7NmzR1Lv1auXWteq9HX+UKVKFfzwww+S+saNG/XSflbSx3Pi5OSE//3vf5L65s2bJcGe2po4cSKqVq2q0TLffvut5JoMAISHh+O///7TS7++Zl/TcYWmvL29cf78eVSvXl0y7fnz55g5cyZatmyJkiVLIn/+/HBwcEDRokXRpk0brFy5UhIymydPHmzcuFHjY1NREDoAta91iDx8+BD3799XOd0Y5+W6OnHiBJYtWyapm5mZYebMmRq1Jdp+R0dHrfumTjuZPec+Pj5o3LixUu3u3buoVKkSNmzYgIiICCQlJeHmzZsYOXIkOnbsKLkmpSoQdO7cuUrHmblz5xZ+HxARERERERERERERERERERF97SyM3QEiouwkPPYD6vx6wtjdoCxyamw9FHHJbexuaEzV3RDz58+fxT1RTdXdA/X141Z1ODo6Ij4+XlJ//fp1lqz/2rVr+Pnnn7Ft2zbh9OLFi2PSpElZ0pesoiokJTAwUDgQ5rP4+HgEBwcr1VT9IP3ztC8DM65du4bExESVYT6f+yCi7cDSrDRx4kSsWrUK7969U6pPnjwZrVq10tuAJVNiZWUFR0dH4YDLuLg4I/Qoc71795b8+H3t2rUYNmyYcH65XC4ZDGZlZYWuXbvqtV8KhUI4aMHBwQFTpkzRqs2OHTuiTp06OHXqlFL90KFDePDggfAO3uqaO3eu1ssasu3t27cLv9tGjhwpvDNyZszNzfH777+jQYMGkmlLliwRhv5kN7a2tqhVqxbatm2LHj16wMLC+JcnbGxs0L17d/z8889K9fPnz6Ndu3ZqtTFkyBCsWbNGqXbv3j0EBgZq9J3y8eNH4evcpUuXDL/PsqNZs2ZptVyXLl0wYcIEST04OBgNGzbUtVsaKViwIPbs2YMmTZqoNbD+s6dPn+Lp06f4999/AXwK7vH390fPnj3x7bffajSonEgb06dP1+rzt0WLFrCxsZEMNg0ODkaVKlUyXX7p0qWSWunSpTF06FCN+/KZs7Mzhg0bhmnTpinVV69eLQzdUtf48eO1Dr148eIFTp48KakPGjRI63Pf7t27Y8KECToFktatWxfe3t64deuWUn3FihWoVauWRm2JgjEcHR11es5NSf78+eHn54fu3bujZcuWJnFuVa5cOdSoUQPnzp1LqykUCly8eDHTUMaoqChJzdnZWe99FPn48aMw6Oi7775DxYoVtW7X19cX9erVw4kT/3e9NiUlBRs2bBAeJ3z27NkzHD58WFLv378/PD09Ne5Hnjx5MHnyZIwePVrjZbNK+mNU4FNYlzrnmD179sTs2bMl9bVr1woDC9KztrZGly5dJJ//W7duxcKFC2FlZZVpG1/6559/kJSUpFSTyWTC8A5DGzBgABYsWKBUO3/+fJb3w1S0aNEChQoVUgoRio2NxZ07d+Dt7a1T225ubhg1apRWy/7888/4559/8OHDB6X6ihUr1D7XIzEeV2TM09MTZ8+exebNmzF//ny1gxA/k8lkqFKlCrp27YpBgwbB1tZW4z6ouhbx119/YdSoUVod3yxbtkwS+vElU70+q0pERAS6d+8u3Ka+fftqHCiV/jo9AL0F+Ku6JiT6W1d6f/75J6pXr46YmJi02tOnT9X6/uzSpYvw8/Lhw4eS78EJEyZIgpOJiIiIiIiIiIiIiIiIiIiICDD+L5GJiIhIrxITE4V1bX70ayiq+piVwS6q7qSsqm/qWLJkCWbPni38N2PGDIwcORJdu3bFN998g0qVKqkMdSlQoAD27duX4wZuu7m54ZtvvpHUg4KCMvwh+JkzZ5CamqpUq1u3rsr500/7+PFjhneRlsvlwrvBenl5mVQgkir58uXDTz/9JKnfuHEDmzdvNkKPskauXLmE9fQDjE1FiRIlJANarly5gps3bwrnP3LkiGTAbqtWrYR3OdfFnTt3hHfY7dChA1xdXbVud8iQIZKaQqHAvn37tG6zWrVqKFu2rNbLG7Jt0V2+ZTIZBg0apHWb9evXR6lSpST1ffv2ZfiZmV18/PgRcrkcqampJrU99erVk9QuXLig9vLVqlVD5cqVJfUVK1Zo1I89e/YIw+ay653KValbty7KlCmj1bLu7u7ImzevpK7qc9XQKleujKtXr8LHx0frNt69e4e9e/eic+fOKFiwIGbMmKHTsSlRRtzd3dGsWTOtls2dO7fwe1Od/S8uLk54PDBs2DCYm5tr1Z/PevfuLamdO3dOci6hLmtra3Tv3l3r/pw7d074HadLUJ+ZmZleBjcPHjxYUtu2bZtGg3CTkpKwfv16Sb179+7InTv7heSKfA6OSElJMXJPlGl7vCIaUJx+IL6hHD16VBhE/OOPP+rctmjfTx8ymV5AQADkcrmkrkswSJ8+fWBpaan18oYUFRUlPGdp0qQJ8uXLl+nyJUuWRI0aNST1LVu2SAJWVBG9Tqr6lZl169ZJar6+vsJrToZWsmRJFCpUSKkWGRmJx48fZ3lfTIUo2FmTcypVevToofJaUGYKFiyIFi1aSOqHDx8WBjCQZox5XOHu7g6FQiH5FxYWpva6Dc3c3Bw9e/bEP//8I/wszEiuXLng6emJokWLav3+r1q1KkqUKCGpP3z4EAsXLtS4vdu3b2PJkiUZzqPud4Mp+PjxIzp27Ijw8HDJtGLFimkVBC3afk1DzFRRdayhznNeuHBh7NmzR+XfxlRp3ry5MCAO+HQs9+W6PT09MWbMGJVtPX/+HAsWLIC/v3/a+zpPnjwoX748vv/+e6WwPiIiIiIiIiIiIiIiIiIiIqKchsEuREREOUz6O49+pq8fjuqDqj5qeyd0bahaly6hEL/99humTJki/Dd9+nQsXLgQW7duxaNHj1S24evri0uXLqFkyZJa98OUiQZ3vHnzJsPBZIGBgZJaRsEuderUkdTOnDmjcv7Q0FBER0dL6qK+mqrRo0cLAz+mTZuGjx8/GqFHhqfqM82UBw706dNHUhMNSAM+3flcneV1pepO4roMOAaANm3aCAeO6nLnctEgLH3RtW3RdtWpU0fnu9OKBpNHRUXh3r17OrVrCpKTk3Hs2DEMHz4c7u7uWLRokXBwbVYrWLCgpKZpUIgofGXHjh2IiopSuw3RncorVqyIatWqadQXU1e/fn2dli9durSkpsnzrG9FihTBmTNnsHXrVmEwkyaio6Mxffp0lChRQqdQLCJV/P39IZPJtF7ey8tLUlNn/zt27Jjk+NTMzEx493dNFStWTPLdGx8fj9DQUK3a8/HxgbOzs9b9uXTpkqRWpEgReHt7a90mAK0Deb7Uq1cvySDpxMREbNy4Ue02du7cibdv30rqOSmELCYmBtu2bUP79u3h5eWFAwcOGLtLALQ/XilWrJikFhISgh07duilXxk5ePCgpFa6dGmd9wdAfH3g/PnzGYYHisJfy5Qpo9O1GFdXVzRp0kTr5Q1p8+bNwnNlTYJsRPPGxMRg9+7dai1fvXp14eut6pxYlXv37gnPvwxxvqwufZxD5CSGej50DTbr1q2bpCaXy3HlyhWd2iUeV2Tm5MmTqFevHry9vTX+zHv//j22bduGjh07onTp0ti1a5fG6zczM8Po0aOF0yZPniy89q7K27dv0bVrV5V/3/ksO12PHjx4MIKCgiR1S0tLrFu3TqvwfdH2W1hYaNW/9FQFu6j7nFetWhWnT5/O8O8rn1lbW2Py5MnYtWuXMFho//792Lt3r1Lt999/h7W1tWTelJQUzJ49GyVLlsSYMWMQGBiIZ8+eISkpCW/fvkVoaCiWLl2K+vXro0mTJhn+DY2IiIiIiIiIiIiIiIiIiIgou9LPL0iIiIjIZKi6y3lmP7bNSubm5sLB28nJyVnWB1Xr0tcPbDVhZmYGPz8/fP/992jfvr3B1uPu7o5+/fqpnK5QKJTuRG5hYaHTYE8RPz8/rFq1SlIPDAxEmTJlhMuk/3G5k5MTypcvr3Id3t7ecHV1VRoMkFGwi6ofr/v5+alcxtQ4ODhg/PjxGDt2rFL90aNHWLlyJYYMGWKknhmOqgAX0Q/HTUWnTp0wYsQIpQCpjRs34ueff1b67I6NjZUMjsufPz+aNm2q9z6JBsRZWFigVq1aOn0m29jYoFq1apK7rOoS7FK5cmWtlzVk2+Hh4Xj69Kmkrs4Aicyo+hw6f/483N3ddW5fV7Nmzcp0npSUFMTGxuLNmzcICQnB7du3lb5rgE8BFhMmTMDBgwexdetW5MuXT299TE5Oxq1bt/Dw4UPEx8cjLi4O7969UxkiExMTo1YtI127dsWYMWMQHx+fVvvw4QM2bNiAESNGZLp8WFgYjhw5IqnnhAFt6ekaVCMKXIiNjdWpTV3JZDJ07twZnTp1QmBgIDZs2IDdu3drHTjz8uVLtG7dGvPmzVM5GI+yh7Zt2+r1u6xChQo6LW+s/e/s2bOSmoeHBwoUKKBTfz4rUaKE5Hv56tWrqFixosZt6fp6iQaKZ3Qeoy59tOHo6IguXbpg9erVSvUVK1Zg6NCharWxYsUKSa169eo6vzf1KbNz4M+SkpIQGxuLFy9e4OrVqwgLC5PMc//+fTRv3hwjR47EggUL9HquHBcXh+vXr+Ply5eIi4tDfHw8EhMTVQaTBAcHS2qisNL06tatCzMzM8lxULdu3TBt2jSMGDECtra22m1EJkT7fq1atfTStoeHBywsLJSOMaOjo/H48WN4enoKlxEFL9WoUUPnvtSuXVsywNkUrFmzRlJzdHRE69at1W6jS5cu+OmnnyTniWvWrFE7cKN3794YN26cUu3AgQOIiIhQ+xxg/fr1klru3LnRsWNHtZZXx5MnT3Dr1i1ERUWl7ZMZnR+LwijU2Sezizdv3iA0NBSvX79OO6f68OEDFAoF5HK50nNjZWWFq1evStrQ9fmwtbXV6rv8S6o+cy5evJitrgGaoq/luEJTHz58wKhRo7B06VLhdHt7e1SvXh3u7u5wcXGBQqFAVFQUrly5gtDQUMn39f3799GuXTsMHjwYf/75p8q/A4n07t0bv/zyCx4/fizpY7NmzfDXX3+hZ8+eGbYRGhqKrl27qhXUpEnfjGnGjBmS9+1n8+bNQ/Xq1bVq18zMDKmpqUo1fYUZq2rHzEz9+zmVLl0agYGBOHz4MHbs2IHTp08jPDwcCQkJyJcvHzw8PNCiRQt07dpVZWh1cnIyfvzxR6Vas2bN0KpVK8m8Hz9+RKdOndQOgzt8+DB8fHxw/PhxlX8zIiIiIiIiIiIiIiIiIiIiIsqOGOxCRESUw9jY2Ajrxh7k+qVcuXIJ7yCYlX1UtS5Vz58hOTg4oH79+mjZsqVB11OsWDFMnjxZ5XS5XK4UlmFtba3RD4LV4e/vL6wHBgYKf+ifmJiIy5cvK9V8fX0z7JdMJoOvry8CAgLSalevXsWHDx+Eg9RUBbuo6qupGjZsGH7//Xe8fPlSqT5r1iz06dPHKO9tQ1IVVmXK2+no6Ig2bdpgy5YtabXw8HAcPnwYzZo1S6tt3bpVsn3du3c3SPDUjRs3JDUvLy9YW1vrHLZVsWJFSbBLWFgY3r17Bzs7O43bK126tE79MVTboucQgM6DzoBPg/ZlMplkUK+p3P09o+8UVd68eYN169bh559/lgyADAwMxLfffosjR47AwcFB637dvn0bmzZtwp49e4RBMppKTU1FfHy82ndptrW1RefOnbFy5Uql+ooVK9QKdlm1apXkNc+dOze6d++ufqezCV1DfETvky8DdYxJJpPB398f/v7+WLFiBUJDQxEYGIgzZ87gypUrePTokcoB++nJ5XKMGTMG9vb2GDRokIF7TobSsmVLfPfdd8buRhpj7X/Xr1+X1Ly8vHTqy5dcXV0ltcjISK3a0vXYIzw8XFLTx8DEfPnyIU+ePHjz5o1O7QwZMkQykPXatWu4fPkyqlatmuGyDx48wMmTJyX1AQMG6NQnfcvsHFiVO3fuYNmyZVi6dKnkOOK3335DcnIy/vjjD637JZfLERQUhE2bNuHo0aPCIBlNqRNE5+zsjA4dOmDbtm1K9eTkZEyaNAnz5s1Dhw4d0LZtW/j7+2t1zC4il8tVnnfoi4uLCyIiIpRqkZGRwmCXpKQk3L17V1IvW7aszv0wxQCC0NBQYdBGx44dkStXLrXbcXFxQYsWLbBr1y6l+pEjR/DixQu4ubll2kbPnj0xceJEpcHuKSkp2LRpE3766adMl5fL5di4caOk3q5dO7WP1UViY2OxY8cObN26FRcvXtTL9UlNwyFNycePH3H48GFs2rQJgYGBkutM2tD1+ShXrpzOgVoFChRAvnz5JJ8VISEhOrVLn3wNxxWa+PDhA1q3bi0MbfXy8sKUKVPQvn17pfBne3v7tECUV69eYeHChVi8eLHkGuHy5cuRmJiItWvXqr1fWFtbY/v27ahdu7YkLPv9+/fo1asXlixZgl69eqF+/fooVKgQrKysEBERgStXrqR9RqYPKylatKgw7FiT7xdjWbp0KaZPny6cNn78eAwePFjrti0tLSXPla7XpjJrx8rKSuO2GjdujMaNG2vVj//973+4f/++0voXLVoknHfgwIFqh7p8FhERgfr16yM0NFSvAdBERERERERERERERERERERExqTfkbpERERkdKoGQptSsIsp9FHVunQZSK6tmJgYTJkyBT4+PnoZLGHKihQpAg8PD0k9KChIOP/Zs2clIUB169bNdD3p50lKSsL58+cl8ykUCuG6S5UqhQIFCmS6HlNiY2ODKVOmSOrh4eFYvHixEXpkOElJSYiLixNOc3JyytrOaKh3796S2tq1azN8rGo5fYiKipLUSpUqpZe2VQ3U1PZO3YZ8bXVpW/QcAvp5Hh0dHYWfRarWmR3kyZMHo0aNws2bN1GjRg3J9IsXL2L06NFatX3nzh00bNgQ3t7emDNnDkJDQ/U2cEbTY5S+fftKajdv3sTZs2czXC41NVV4t+jOnTsb5RjF0HTdr0VBb+kHT5kCMzMzVKhQAT/88AP++ecfPHjwANHR0Thx4gRmzZqFhg0bwtLSMtN2fvjhB+HAbCJtGGv/e/LkiaS2b98+yGQyvfxLH1gBGO/YQ/Td4eLiolOb+mynatWqqFKliqT+999/Z7rsihUrJOFU9vb26Nq1a6bL/vnnn5g9e3aG/+bMmYNffvkl7d+cOXMwe/ZsleeN+ubl5YVFixbh3LlzwrCgP//8UymsUROHDh1C6dKlUa9ePaxcuVIvoS6A+scqs2fPVnlMERcXh9WrV6NVq1ZwdnaGj48PxowZg4CAAJ1CGSIiIoTBnGPGjNHbvp8+qAFQve9HR0cLw9W++eYbrbfxsxIlSujchr6Jzi8BoFevXhq3JVpGLpdj/fr1ai1fsGBB4QDydevWqbV8YGAgnj17Jqn36dNHreXTe//+PaZMmYICBQqgX79+OHLkiN6uTZrSdVhNbNy4EUWLFkXLli2xZcsWvV2n1PX50Ne+JWonfeAoacdYxxWmqn///sJQl27duuHq1avo1q1bhgHOBQoUwLx583D27FkULVpUMn39+vUqQzRUqVKlCpYsWaIyDObChQv4/vvvUbp0aTg6OsLGxgbFihVDu3btsGnTJsmx/pgxY1CrVi1hW7qEbWWFTZs2Yfjw4cJpgwcPxpw5c3RqXxQ8/mWIjy4SExOF9awM03nx4oXkORo5cqTwM3bv3r2SYxEzMzP88MMPuH79Ot6/f4/w8HCsXr0ahQoVUpovIiJC5etERERERERERERERERERERElB3p/5bvREQ5WEHHXDg1th4UCjmSk5PT6lZWVpDJsmdWVk7aFkC/21PQ0fTvKiiS/sePn5nSnWILFiyIFy9eSOraDrjTlEKhUPl8qHOHYVUePnwovBu0XC5HXFwcnj17hsuXL+Off/7BoUOHJPMFBwejfv36OHXqFPLmzat1P0ydv78/Hj9+rFR79eoV7t69KwlCCAwMlCyvTrBLnTp1JLWgoCA0aNBAqXbr1i3hne79/PwyXYcp6tevHxYsWICHDx8q1X/99VcMHjwYjo6ORuqZfqkaWGRmZoaCBQtmcW8006hRI7i5uSl9Bu7ZswcxMTFwcnLC3bt3JSFElSpVQvny5Q3SH9Fnob7eJ6oGQ0dHR6NIkSIat2fI968ubav6PtHn8xgeHq5Uy6rvS0PKnz8/9u7di4oVK0qOCVasWIG+ffvCx8dH7fb++OMPjBo1ShIGpi+aBsR4e3ujRo0auHDhglJ9xYoVKgc+AZ/CDUSfcQMHDtRo/dlFRgPZcjpHR0f4+/vD398fkydPxtu3b7FlyxbMmzcPz58/Fy6TnJyMSZMm4cCBA1ncW8qJjLX/vXr1KsvXqe33pq7f5aJjBH0NctVX2NfgwYMxYMAApdqWLVvw22+/wc7OTrjMx48fhUER3bp1g62tbabrXLBggTDgRx3Tpk1T63xQX6pWrYqAgADUqVNHMuB8+PDhaN26tVrbDHw6lhg8eDA2b95siK6qfaxSokQJbN++He3bt8e7d+8ybO/8+fM4f/48FixYADMzM1SuXBlt2rRB165dNTrvMsZ+D6je91Udv+tj/zS1IL6PHz9i06ZNkrqHhwd8fX01bq9FixZwdXWVBGGsW7cOEyZMUKuNPn36SI5lQkJCEBISggoVKmS4rGhbihYtivr166u17i/dvn0bLVq0kFyf0hd9BUxmlXfv3qFdu3bCIAp90PX50Ne+JWrHlK6ZZ3fGOK4wRbt37xZ+XjVr1gwbNmwQBiSqUqlSJRw4cAA+Pj6SkOuJEyeiQ4cOKFy4sNrt9evXDy4uLujRo4fKgBB1DBs2DL/++ivatGkjnG7Kgem7d+9Gnz59IJfLJdO6d++OpUuXCgPgNOHs7Cw5DlEVUq6p+Ph4YV1fAZLqGDVqFBISEtIeu7m5YfLkycJ5x48fr/RYJpNh69at6NixY1qtQIEC6Nu3L5o1awYfHx+l4MNt27Zh3LhxqFy5sn43goiIiIiIiIiIiIiIiIiIiMgIsu/IfSIiI7AwN0MRl9wo7Jwbbk42af8KO+dGEZfs+S8nbYu+t8fCPHt+TYru4AgAd+7cyeKeqKZqQP/NmzezZP33799XCgD6TCaTafRDaHWZmZnByckJ5cqVQ9++fXHw4EGcOnVKGMJz9+5ddO7cWa273WdXqkJTRCEu6e/IbmtrK7z7a3qVK1eWDBgQ3d1d1R3f/f39M12HKbK0tMTMmTMl9aioKMyfP98IPTKMW7duCesFChQw+ZAAMzMz9OzZU6n24cMH/PPPPwDEd1PX9u7j6hANdjTkgClV61SHpaWlLt0xWNuqtocDzzKXJ08elQM/Fi5cqHY7v/32G3744QeDhbpo67vvvpPUtm3bluFgHtHdzMuXL4+aNWvqtW9kelxdXTFs2DA8ePAAI0aMUDnfwYMHERISkoU9I9IvXQaQaispKUmr5XQ99hCt19raWqc29d1O165dJQE27969w9atW1UuExAQgIiICEk9p4aQ1a5dG506dZLU3759i3Xr1qnVRkpKCnr27GmwUBdNNW7cGBcuXNAo2EMul+Py5cuYPHkyihcvjg4dOuD69etqLWuM/R5Qve8bMtjF1MJUDxw4gMjISEm9R48ekMlkGrdnaWmJLl26SOp3797F2bNn1Wrj22+/hbOzs6Se2f707t07BAQESOq9evXSeFtu376NevXqGSzUJbt59+4dmjZtarBQF33Q1/m1aB/NKefXpoDHFZ+Irs3a2Nhg9erVGoW6fObt7Y1p06ZJ6u/fv8fSpUs1bq9t27Y4d+4cGjZsqPGyzs7OWL16Nf744w8AkAR9fabq5gPGdvjwYXTp0kUYNtWmTRusXbtWq+/H9FxdXSU1Vc+VpkQh9UDWBbsEBgamXcf+bMGCBcIgptOnT0v+5jdw4EClUJcvFShQABs2bJDUly9frkOPiYiIiIiIiIiIiIiIiIiIiExH9hyxTkRERCqVLVtWWL969arwLoTG4O3tLaxfuXIlS9Z/9epVYd3DwyPL7gTq6+uLs2fPCu9eeeLECfz6669Z0g9jUDfY5cOHD7hw4YJSzcfHR63gDnNzc8kg+AsXLkgCfURhMhn1MTvo2rUrypUrJ6n//vvvwoES2ZGqAe3ly5fP4p5op3fv3pLa2rVrIZfLJT9et7S0RLdu3bKqawCglwEM+mwnu+LzqJ5u3brB3NxcUg8ICMCHDx8yXf7ixYsYPXq0yunVqlXDqFGjsGXLFpw+fRphYWF4+/YtEhISIJfLoVAolP7pc3Dnt99+KxnMk5iYiI0bNwrnf/78OQ4ePCipp7/jOeVs1tbW+P333zFjxgyV8+zfvz8Le0SkXzk5wDI90SD0+Ph4vbStr3ZsbW0loYOAOGjssxUrVkhqVapUQeXKlfXSJ1Mkeo4AZDhQ/UuLFi0SBlIAgJWVFZo0aYKZM2di165duHTpEl68eIHo6Gi8f/9ecqyiUCiwZs0arbflM29vb5w6dQr79+9HmzZtNAoyUigU2L9/P3x8fDB9+vRMrzV9Tfu9qRENjgaAV69eYfbs2Vr9i42NFbap7vvS2tpaGA6zadMm4UD7z3bt2oWEhARJXXR+nZHU1FR06dIFr1+/Fk4vVKgQevTogWXLluHQoUO4desWIiMjERcXh+TkZOE+mZ2vIQHA+PHjcebMGeE0Ozs7tGrVCr/++iv27NmD4OBghIeHIyYmBh8+fEBKSgqio6PT/qWkpAgDKOjrwOOKT3/fCA4OltR79eol/DuAuoYMGSIMJtq0aZNW7ZUvXx5HjhzByZMn0a1bN+TNmzfD+YsUKYIpU6bg3r176Nu3b1r91atXknnz5MkjDDYxtqCgILRt21YY/NaoUSNs3bpVb4HhomCb2NhYvH//Xue2Rc85AIPcsCC91NRUDB8+XKlWt25d4fc6AOzcuVPpsUwmw6RJkzJch6+vryR0P307RERERERERERERERERERERNmVad/OnoiIiDRWqVIlyGQyKBQKpXp8fDzu3r2L0qVLG6ln/6dChQrCelYFu6haT6VKlbJk/Z8VK1YMO3fuRJ06dSQDnWbMmIGOHTuiePHiWdqnrODu7o5ixYrhyZMnSvX0ISsXLlyQ/NC6bt26aq+nTp06OHr0aNrj9+/f4+LFi0p3JRcFu5QoUcJk7yqqDplMhjlz5qB169ZK9YSEBMyZMweLFi0yUs/058SJE8J6dhn04eXlhRo1aigFF50/fx5LlizBixcvlOZt0aIF8uTJY7C+ODk5SQa0xcXF6aVtVQP+RHdnz86cnJyE9bi4OL3cVVz0PKpaZ3bk4OCAChUqSELXkpOTcfHixUw/94cPHy455gGAxo0bY8GCBcKgq4ykDwDThbW1Nbp27Yo///xTqb5ixQoMHTpUMv+qVaskxwM2Njbo0aOH3vpE2ceUKVOwe/du4aDAEydOYMKECUboFZHucuXKhcTERKVahQoV0KFDB4OtU9X5p6E5OTkhKipKqaavQBZ9Ha8BwODBgyXfVZcuXUJISIjkuQsLC8ORI0ckbQwcOFBv/TFFqo5HLl26hOTkZFhZWalc9vXr15g1a5Zw2ogRIzBhwgTkz59fo/7o83ilWbNmaNasGWJiYnDixAkcP34cgYGBuHHjhvAY60sKhQK//vorwsPDsX79epXz5cqVS1hv06YNqlSpolP/M6Lq/FA0MB7Qz/6p6hzIGCIiInDo0CHhNFGQgq62bduGxYsXw8bGJtN5e/fujWXLlinVIiIicPDgQbRs2VK4jCi8oHbt2hpfN/v7779x/fp1ST1v3rxYvHgxOnTooPHAfn3uk1ktNDQUy5cvl9QtLCwwbdo0DB8+XOU+A4iDmwzxfBjyOkVOOr82BV/7cYWqa5bNmzfXqV0bGxv4+/tLguKePn2Kp0+fomjRolq16+fnBz8/PygUCly/fh1hYWGIjIxEVFQULC0tUbBgQVSoUEH4N6XU1FTJ9X1Adai/MV24cAEtW7aUnIcAn/6GsHv3blhbW+ttfR4eHsJ6WFiYzn+fCwsLk9RcXV1hb2+vU7vqWLJkCUJDQ9Mem5ubS/b3L6UP7a9WrRqKFCmS6Xo6dOiAkydPpj1++/YtHj58iG+++UbzThMRERERERERERERERERERGZEAa7EBER5TAODg6oVKmSZIA08OmuhKYQ7FK7dm2Ym5tLfvwfGRmJa9euoWLFigZd/5dhH19KfyfArODj44ORI0di/vz5SvWkpCT89NNP+O+//7K8T1nBz89PMvDrxYsXSj/QFYWuaHIX5C8DXD4LDAxMq9+7d094h0tjvA/0rVWrVvDx8cG5c+eU6suXL8fIkSNRrFgxI/VMdzExMTh16pRwWr169bK4N9rr3bu35Mfto0ePFs5nSM7OzpJgl5iYGL20/bUEu6janpiYGL3cLVf0POa057BgwYLC+v379zMMdgkJCcHFixcl9S5dumDTpk0wMzPTuC/pB+Drqm/fvliyZInSwOhr167h8uXLqFq1alpNLpdj9erVkuU7duzIgYZfKZlMhmHDhqFfv36SaY8ePTJCj0xbSkqKsbtAanJ2dpYMqCxatCgmT55spB4Zjuj7+unTpzq3m5KSgvDwcJ3b+axMmTKoU6eO5Bh7xYoVkoGaK1eulIR92NnZoWvXrmqvTzQYNT25XK4U8mltba3V97q+2Nvbw87ODu/evVOqf/jwAc+ePctwkOnWrVuFgSFLly7FkCFDtOqPvo9XgE/BBm3btkXbtm0BANHR0Th16hSCgoKwb98+3LlzR+WyGzZsQJ06dTBgwADhdFXHrnXq1MHIkSN177yGVB1b6SPYRZ+hS7raunVrln4/xsXFYceOHWqFEtaoUQOlS5fG7du3lepr164VBrs8ffpUeB2gT58+Gvfz77//ltTy5MmDy5cvax2MYIh9MqusXr1acn1WJpNh9+7daNGihVZtGuL50Ne+JWqH51v6ldXHFabmy9CLL+kjUL5y5cqSYBfg0zVubT+/PpPJZKhQoYJGgYi3b9/Gx48fJfXq1avr1Bd9Cw4ORtOmTYXf89WqVcPevXuRO3duva6zZMmSwvq9e/d0/vvc/fv31V6fPkVGRmLatGlKtaFDh2YYqBwSEqL0+MvrYBkRzRcSEsJgFyIiIiIiIiIiIiIiIiIiIsr2jPdraCIiIjIYVT+8Fw0YNgZnZ2dUq1ZNOG3t2rUGXfe1a9dw7do14bSmTZsadN2qTJ8+XTiofe/evTh9+rQRemR4qsJTvgxzSR/sYm1tjRo1aqi9jho1akjunJ5R+59pEh5jyubOnSupJScnY/r06VnfGT3avHmz0iDPz+zt7bPVa9e1a1fJnWDT39U6b968Wg+kUpeLi4ukJhogoI27d+8K6zktlET0HAL6eR7j4+OFA7dz2nPo4OAgrL99+zbD5UThZ46Ojli+fLnWg7/fvHmj1XKqeHp6okGDBpJ6+gGlBw8eFA72z853Kifdqfpe0/f7NKuJ9k+5XK5Tm9l5QPXXRjToNLPP++xKNMDy+vXrOrd79+5d4fGwLgYPHiypbdq0Ce/fv097nJKSgjVr1kjm69KlC+zt7fXaH1Okz+MVf39/rUNdgKz5HnB2dkbr1q2xYMEC3L59G3fu3MFPP/0EGxsb4fwzZswQDu4GgCJFikAmk0nqxtr3XVxchP15+PChzm3r61xKHzZs2JDl69Tkmp4oxPS///4Tfqdv2rRJEv5gY2ODTp06adS/Z8+eCa8Jzp8/X6dQhOx8bCb6jOrVq5dO1yIM8Xzoa98StePq6qqXtun/fM3HFare/3ny5NG5bVVtGOv79Pz588J6RgG9We3mzZto3LixMMS6fPnyOHTokMpjPF2oCvJJH3SiqbCwMOG26CM4KDPjx49XWnfevHkxc+ZMlfN/+PABCQkJSjVPT0+11iUKcMnO37VEREREREREREREREREREREnzHYhYiIKAfq0qWLsH7x4kW9DCTThw4dOgjrmzdvVjkYSB9UDTKpWrUqihcvbrD1ZiR37tySux1+NmnSpCzuTdZQNVD55MmTAD4FXJw7d05pWvXq1SVBGBnJlSuX5EfNZ8+eTXt/qQp2URU6k934+/ujcePGkvqGDRsyvNu6KUtJScGCBQuE09q3bw9LS8ss7pH2nJyc8O2332Y4T7du3Qy+TWXKlJHUbt++LQmZ0YZowFyxYsVgZ2enc9umRPQcAuLt11RISIhkAGNG68yuVN19PbNwlsuXL0tqrVu3hqOjo9Z9uXr1qtbLqjJo0CBJbcuWLXj37l3a4xUrVkjmKVOmDGrXrq33/lD2UahQIWE9/eCo7EY0UPPL/UEbkZGROi1PWcfb21tSu3fvnvD7LrsThZmGhoYqDWrWxsWLF3VaXqRDhw6SwcIxMTHYtm1b2uN9+/bh5cuXkmW/lhAyfR6vdO/eXae+GOJ4JTOlSpXCb7/9hhs3bggH5b548QJnz54VLmttbS1cxljnpdbW1ihRooSkfuPGDZ3b1nXAtr5cuXIFN2/ezPL1Hj9+XBhWKNKzZ0+Ym5sr1ZKTk7F161bJvJs3b5bU2rZtq/Fg/CtXrkhquXLlQseOHTVq50tPnz7NtgFlMTExwkCjXr166dSuIT6jQkNDdT5WeP36NSIiIiT18uXL69QuSX3NxxW6BlZqI/1naVY5ePCgpObo6Ig6deoYoTdS9+7dQ8OGDYWBIF5eXjhy5IjBgpMrVqwo/DtG+r93aErV8tWrV9ep3cxcvHhREsT0888/w8nJSeUyogAadUObRPNFR0ertSwRERERERERERERERERERGRKWOwCxERUQ7k7e2NWrVqCactXLgwi3sj1qVLF+GPWyMjI7F69WqDrDMiIkJlsEu/fv0Msk519evXDx4eHpJ6UFAQjh8/boQeGZanpyeKFCkiqX8OW7l06ZJkwKM2d/tMvx8kJCSkDawLCgqSzF+8eHG4ublpvB5TNXfuXMmdyFNTUzF58mQj9Ug3CxcuxOPHj4XTvv/++yzuje5EdyjXZLo++Pj4SGofP37UeaDBhw8fcOnSJbXWl90VKlRIeHd30WeMplS1kdOeR9FgLgDInz9/hsu9fv1aUitbtqxOfVE1IFkXrVq1kgR0vHv3Lm3Qanh4OPbu3StZbsCAAXrvC2UvqsIOc+fOnSXrT38MAUAv4RuiQdhRUVE6tWmIoAsyjJo1a0pqb9680UuggqkRDbB8//499u3bp1O7//zzj07Li1hZWeG7776T1L8MHvv7778l0ytWrCgMsMlp4uLiVAZQZXS8kpSUhNjYWEldl+OVlJQUo37meXp6Sgb2fpbRcZRo3w8KCjJaqJNo/7xw4YLO7Z45c0bnNvRh48aNwvqZM2egUCj08u/06dOS9hUKBdatW6dWHwsVKoRGjRpJ6umXP3PmjDB8pE+fPmqt50ui8wcPDw/Y2tpq3NZnhjh/yCqi5wPQ7TPq1atXKq/b6CIhIUHn8FRV++fX8D0GGO7YXuRrPq5wdXUV1kXhIppSFWaZPkQnK8TExGD//v2SeuvWrTUKZjeUx48fo0GDBnj16pVk2jfffINjx44hX758Blt/rly5hNfuTp06haSkJK3bPXLkiLDesGFDrdvMjEKhwPDhw5U+L6pVqybcxzMj+hxSd76cGARKREREREREREREREREREREXx8GuxAREeVQY8eOFdbXrl2Lo0ePZnFvpFxcXFT++HPChAnCO6jqauTIkcJBVfnz59f5brS6srCwwKRJk4TTpk2blsW9yRp+fn6S2tOnTxEWFiYMM9Am2EX0A+rAwEA8fvwYz549U6tP2VmVKlXQrl07SX3Hjh3CO1WbsitXrmDq1KnCaU2bNkXVqlWzuEe6a9KkCQoUKCCcVr58eVSqVMngfRANsAQgvEu6Jvbs2YO4uDi115fdqRqo+uLFC53a3bRpk6Tm4uKCkiVL6tSuKYmNjcX169eF0woWLJjhsm/fvpXUdLnb8suXLw0SpmZhYYH+/ftL6p8Hsq1ZswYpKSlK03LlymX0YxMyvufPnwvrhQsXzpL129nZSWrpg/e04eLiIqndvn1bpzZPnjyp0/KUdZo1ayYcqLdz504j9MawqlWrJhzcqypsVB3Pnz/HsWPHdOiVaoMGDZK8NmfOnMGtW7fw7NkzHDx4ULLMwIEDDdIXU/M5gDQ9MzOzDAcFi45VAN2OV3bt2oWEhAStl9cHX19f4XeRqpAIAGjevLmk9ubNG72EIWpDFOxy8+ZN3Lt3T+s2o6KicOjQIV26pRdJSUnYtm2bpO7u7q4yBFobtWrVgru7u6S+bt06tQdfi8JZLl68iDt37qQ9Xr9+vWSeIkWKoEGDBmr39TN9nz8AwIYNG3Ra3pgM8RmlKlRIH3QNNtu8ebOkZmZmli2vJ2nDUMf2qnytxxV58+YV1oODg3VuW9W1XFXrNKRVq1YJ3z+mEFD74sULNGjQQHg+XbRoURw7dkwSvmsIomOfhIQEYSCOOj5+/Ijdu3dL6uXLlzdoUP3q1auVQgVlMhn+/PPPTENaHB0dJTXRtWIR0Xy6fl8TERERERERERERERERERERmQIGuxAREeVQ3377rcoB9P3790d8fLzB1v3gwQP8+eefmc43YcIE2NjYSOrR0dH48ccf9dqnY8eOCQfIA8D48eORO3duva5PG71794aHh4ekfvr0aZMI49E3f39/YT0wMFAycM7CwkKrAUg1atSAmZnyIa+o/cz6lJ3NmjUL5ubmkvrEiRON0Bvt3Lp1Cy1btsSHDx8k0ywsLPC///3PCL3Snbm5OcaPH48GDRpI/o0ePTpL+uDl5YUSJUpI6tu3b0dMTIzW7S5fvlxSk8lkaNGihdZtmrJWrVpJanK5XHgHanUFBgbi1q1bknqLFi3UvsNtdrBhwwakpqZK6tbW1pkGAdna2kpqqgYnqmPp0qX4+PGj1stnZMCAAZLP4kuXLiE4OBgrV66UzN+hQwcOWiHhYEcAKFOmTJas397eXlKLiorSuV1R/yMiIhAWFqZVezdu3DBaMABpzs3NTRjYuHjxYrx7984IPTIcKysr9OzZU1Lft28fTpw4oVWb48aNk4SB6YunpycaNWokqa9YsQKrVq2CXC5XqufOnRvdu3c3SF9Mzbp164T1mjVrwtraWuVyomMVQLfjlUWLFmm9rD6JBhAnJSWpnL9Vq1bC75U5c+botV/qat26teRaASAOEVHX2rVrDXYsqYmAgABER0dL6l27dtXremQyGbp06SKpP3z4EKdOnVKrjTZt2sDJyUlS/7zPffjwAdu3b5dM79mzp/D1y4y+zx/u3buHAwcOaL28sen7M+rjx4/CawH6snHjRuF1IXWEh4dj3759knrDhg2Fn005kSjYRR/H9qp8rccVqs7VtA3z+CwxMVF4PTt37tzC63qGFB0djXnz5knqvr6+Rg9KioiIQIMGDfD48WPJtIIFC+LYsWMoVqxYlvSlS5cuwut32n5Obtu2Tfj93q1bN63aU0dMTAwmTJigVOvbt68wIC89Gxsbyd/+Hj16pNZ6Hz58KKmJAjOJiIiIiIiIiIiIiIiIiIiIshsGuxAREeVgy5cvh6WlpaT+5MkTdOjQIcNBN9o6cuQIfHx88ODBg0zndXNzw7Rp04TTtmzZgt9//10vfXr8+LHKASwVKlTAsGHD9LIeXVlYWGDSpEnCadOnT8/azmQBPz8/Yf3YsWM4c+aMUq1SpUrCAQiZcXBwQNmyZZVqZ86cUXmXe1V9ys5Kly6NXr16SeqHDx/GyZMns75DGtq1axdq166NV69eCafPnTsX3t7eWdwr/RkxYgSOHj0q+ScaBGwIMpkMQ4YMkdRjYmIwd+5crdrcuXOncLBykyZNULx4ca3aNHUdO3YU3iF5wYIFePbsmcbtyeVylQFn33//vcbtmaqIiAiV77P69etn+rkves5Pnz6tVV9u3bpl0JCowoULo2XLlpJ63759hQOOTOEu16SeY8eOCcOJdPXhwweVA77q16+v9/WJFChQQFK7e/euzu1WqVJFWN+2bZtW7U2dOlWX7pAR/PDDD5JaVFQUxowZY4TeGJaqz/MhQ4ZoPJh69+7d2Lx5sz66pZLouHD9+vVYtWqVpN65c2c4ODgYtD+mICgoCDt37hRO+/bbbzNc1tHREVZWVpJ6+vNdda1evVrrZfUtIiJCUitUqJDK+e3t7dGnTx9J/ciRI/jnn3/02TW1FCtWDA0bNpTUV65cqfag4y+9efMGs2fP1kfXdLZ27Vph3RADv1W1uWbNGrWWt7a2FobDbNiwAXK5HLt370ZsbKxkeu/evTXr6P8nOn+4f/++8P2cGYVCgYEDB0KhUGjVF1Mgej4A7c+p5s+fr3VQnzpevHih9TnbxIkThaEwX9N5l6GO7TPyNR5XNG7cWFhft24dwsPDtW53yZIliIuLk9T9/PyExxqGolAoMHjwYERGRirVZTKZ0b8Ho6Oj0ahRI+H7Om/evDh69GiWXpcsUqQImjZtKqkfPnwY586d06itlJQU4fUzKysr4XV/fZk2bZrSa+3o6Iiff/5Z7eXLly+v9PjSpUtqLXf58uVM2yIiIiIiIiIiIiIiIiIiIiLKjhjsQkRElINVqFBBZSDI4cOH0aRJE7x580Yv60pMTMSYMWM0bnPUqFGoWbOmcNrIkSN1Dne5e/cu/P39JT82BoBcuXJhzZo1sLCw0Gkd+tS7d294eHhI6mfOnMGRI0eM0CPDKV68uPAu39u2bcO7d++UaroErtSqVUvpcXx8vPCOz56enihSpIjW6zFl06dPF/7IX3SnV1MRGhqKtm3bol27doiJiRHO06lTJ4wePTprO5YD9e3bF7lz55bUV69ejaNHj2rU1tOnTzF8+HDhNFMJ0TIEa2tr9O/fX1JPTExE7969kZycrFF7U6dOxbVr1yT1qlWrokaNGtp206SEh4ejRYsWKgc2qRNgU7lyZUnt0KFDuHPnjkZ9iY6ORrdu3bS++7u6Bg8eLKmFhIRIal5eXqhbt65B+0L6M2LECJQtWxZbt26V3HVeF6NGjcL9+/cldSsrK3To0EFv68lIhQoVJLV9+/bp3K6rq6swlO2PP/4QDlbMyN9//41du3bp3CfKWm3btkW1atUk9eXLl2Px4sV6W090dLTwbu9ZydvbG927d5fU7969ixYtWiA6Olqtdo4cOaIyrFSfWrVqJTlHi4qKwvPnzyXzDhw40OD9MbYLFy6gbdu2wuAGe3t7tcIYK1WqJKktX75c4+PDkJAQ/PTTTxotk96hQ4eQmJioUxsAcOXKFWEwXcmSJTNcbuLEicLgvr59++L8+fM69+uz+/fvqzyH/JLoPZyUlIR+/fppFIQsl8sxcOBAtfdnQ3r58qXwHK5cuXKS0Ft9UNXu9u3bJdd1VBGFtLx48QJHjx7FunXrJNN8fHwyfa+pIjp/kMvlWn33TJ8+3aSvqaijUKFCwrCPRYsWadzWiRMnsHDhQn10K0Nz587FlStXNFpmz549wvdS/vz5Mw3oyknKlSsnqT1//hzXr1832Dqz4rgiLCwMMplM8s/d3V2r9nRVtGhR4XP94cMH9OvXT6tzxtDQUMycOVM4TRQga0jff/+9MJCzT58+qF69usbtnTx5Uvj6+fv7a9ROfHw8mjRpInw/Ozs748iRI0YJBh87dqywPmjQII2uQf3yyy+4deuWpN6rVy8ULFhQ6/5lJDQ0FEuXLlWqzZgxA/ny5VO7jfTXMC9fvoynT59mutyOHTuUHjs7O6NEiRJqr5eIiIiIiIiIiIiIiIiIiIjIVDHYhYiIKIebMGECOnXqJJwWGBiIsmXLYsuWLVrfYfbjx49Ys2YNSpcujQULFmjcjoWFBXbs2CH8AapCocBPP/2E7t274+3btxr3bf369ahevbrKH4suW7ZMOMjKmCwsLDBp0iThtGnTpmVxbwxPFNgiGkClywB3Hx8ftdah6Q/Gs5OiRYsKAwVMiUKhwO3bt7F48WLUrl0b5cuXx+7du1XO36ZNG2zcuBEymSzrOplDOTk5YfLkyZJ6amoq+vTpg1OnTqnVztOnT9G4cWO8fPlSMq1BgwZo3ry5zn01ZaNHjxZ+l504cQLdunXD+/fv1Wpn/vz5mDNnjqRuZmaG+fPn69xPY4uMjMSCBQtQtmxZ4R14AaB58+Zo0aJFpm2J7oSdkpKCLl26qDWYF/g0+LVevXrCgBV9a9KkiTC8Lb2v6a7xOcWdO3fQtWtXlC1bFr/99htev36tdVtxcXHo06ePZADVZ/369UOePHm0bl8ToiCp4OBgzJw5E6mpqTq1LRrEHR4ejh9//FHttpctW4YhQ4bo1A8yDplMhr/++ksYPDhixAgMHjxYp7Cthw8f4ocffkCRIkVMIhxz4cKFcHV1ldTPnz8Pb29vbNmyRWXIx8uXL/HDDz+gSZMmac+JjY0NPD09DdJXc3NzYVhdeuXLl1cZ0JoT3LlzByNGjEDt2rURFRUlnGfq1KlqDaQVHa88evQIgwYNUvv6yenTp+Hv769x+FV6P//8M4oWLYpp06apDNfLTEREBL777jtJ3cbGJtPjtwIFCmDevHmS+vv37+Hv74/ly5dr1afPTp8+jbZt28LLywuvXr3KdP527dqhdu3akvqpU6fQvXt3tY7fU1JSMHjwYJMJGVu/fr3we1QUMKUvorYTEhLw77//qrV8zZo14eXlJanPmzdP+Bneq1cvzTv5/3l5eQkDfX/99VccOnRIrTbkcjnGjx+vMmQhu2nUqJGkdvr0aY2uQf7333/o2rUrUlJS9Nk1ocTERDRv3hw3btxQa/7jx4+jS5cuws/befPmwdLSUt9dNFkVKlQQHnsNHDhQ6++EzHytxxWqru0fOHAAvXr1Uvv6EPApTK158+bCsCw3Nzfhd7IqISEhWLt2rUbhZZ9FRkaiW7duWLZsmWSap6dnlgQ7qfL+/Xu0atUKly5dkkxzcHDAoUOHhKGlWcHf3194fBQaGopu3brh48ePmbaxZcsW4c0bbG1tVd7UQR9++OEHpc/1smXLqhXC/KU2bdooPVYoFMJrnl86e/YsTpw4oVT79ttv+TcAIiIiIiIiIiIiIiIiIiIiyhEsjN0BIiIiMiyZTIb169cjISEB+/btk0x//fo1unXrhlmzZmHQoEFo3749ChcunGGbcrkc165dw/bt27Fx40bhXTY1UahQIRw8eBD169cXBrhs3rwZ+/btw7Bhw9CvX78MB0W/f/8eAQEBWLhwIS5evKhyvjlz5qBPnz469dtQevXqhTlz5kjugH3u3DkcOnQITZo00ardJ0+eYPbs2SqnKxQKpR/rWlhYqPWD2caNG2t1R07gU7DL5s2bM5zHzMwMvr6+WrUPiINdVPUlJ5s0aRJWr16t9l2zdbVhwwacPn1aOE0ul+PDhw+IjY3F69ev8ezZM9y+fRvx8fGZtiuTyTBhwgTMmjULZmbMqdSXsWPH4r///sO5c+eU6gkJCWjTpg2GDRuGcePGoVChQpJlExISsH79eowfP1442NTR0RFr167N8T/Ad3FxwcqVK4UDNnbs2IHr16/j999/R5MmTWBubi6ZJzQ0FGPGjFE5oPDHH380uQCqjL5TPktNTUVcXBwiIyMREhKCW7duZTjgz8PDQ+1Bvf7+/vD29pbctTgkJARVqlTBH3/8gWbNmgnfe9HR0Vi5ciVmzZql9NlTtWpVlYEzupLJZBg0aBDGjx+vch5ra2th4AVlD7dv38aoUaMwbtw4NG3aFO3atUPDhg2FA4jTCwsLw9atW7Fw4UJEREQI5ylYsKBa+52+dOzYESNGjJAM/Js2bRqWLVuGunXrwt3dHba2tsLvZFFo2Ge9evXCtGnTJOEdu3btQlxcHObNm4eKFSsKl71y5QomT56MgwcPptVEnwWmZu/evcLwM12NGTMG1tbWem/X0CpVqoSFCxcKBwf+9ddf2LNnD0aMGIHevXujQIECGbaVkpKCW7duYd++fdixYweuXLliqG5rJW/evFi6dCk6d+4smfbq1St069YNzs7OqF+/PgoXLgx7e3u8fv0at2/fxtmzZyGXy5WWmTNnDgICAvDo0SOlur6OtQYMGIDZs2dnGLKUXULIMjsH/iwpKQlxcXF48eIFrl69KjkXT69FixYYMWKEWn3o378/5s2bJwnvWbt2LZ49e4aFCxeiXLlywmUfP36MX375BStXrlR6H+hyvPL27VvMnDkTs2fPRt26ddG5c2c0bNgQxYsXz3C5xMREbN26FVOnTsWLFy8k0/v27Qs7O7tM1z906FAEBgZi27ZtSvWkpCQMGTIEf/31F8aMGYPWrVtn2l5CQgKuXLmCgIAA7NixA0+ePMl0/V/6HDJVqVIlycDqHTt24MaNG/jjjz/QoEED4ffcmTNnMGLECKXPnDJlyuDmzZsa9UOf1q5dK6nJZDJ07drVYOvs2rUrJk6cKAnOWLNmjdrX3Xr37o0JEyYo1Y4fPy6ZL1euXMLPUk0MHTpUsq6PHz+iVatWmDRpEn788Uc4OjpKlktNTcWxY8cwbtw4XLt2La3u4OCA/Pnz4/79+zr1y1iGDh2KDRs2SOozZ87E3bt38fPPP6u8Dnvjxg1MmzYNO3fuVKpXqVJF79/FXx7rRUREoGrVqpg+fToGDx4MJycnyfyvX7/Gr7/+it9//13yPQoA9evX/+rOu+zt7dGqVSvs2LFDqX7hwgW4u7ujTp06KFOmDJycnISBN61bt0b58uU1Xm9OOq5QV6dOnTB//nzhfrBp0yZcvXoVU6ZMQbt27VS2ER4ejoULF2Lx4sUqg1hmzJiBXLlyqd2v8PBw9O3bF2PHjkWnTp3Qtm1b1K1bN8OAo7CwMGzfvh0///wzoqOjJdMdHR0REBAAe3t7rQJj9GHIkCEIDAwUTqtbty4OHTqkdnjXZ6r+TtKzZ08UK1ZMo7YWL16MoKAgyXXvXbt2wdfXF8uWLUPlypUly0VHR2PmzJlYtGiRMJxqzpw5cHNz06gv6tq6dStOnjypVPvjjz9gYaHZT4vq1auHkiVL4t69e2m1FStWoGHDhujYsaNk/oiICPTs2VNSN/XAeiIiIiIiIiIiIiIiIiIiIiJ1MdiFiIjoK2BtbY1du3ahf//+WL9+vXCe27dv48cff8SPP/4Id3d3lCtXDsWKFYOjoyOsrKyQmJiIN2/e4MGDB7h27RpiY2P12sfy5cvj+PHjaNmyJZ49eyaZHhsbizlz5mDOnDkoUaIEKlasiGLFisHOzg7JycmIjIzEnTt3cPHixQx/RGxmZoZffvkFY8aM0Wv/9cnS0hITJ04U/qh9+vTpWge7hIWFYcqUKbp2T8LOzk7rYBd1QgrKli0LZ2dnrdoHPg2kLFGiRKaDbEwtMEHf8uXLhxEjRmR6V0x9Wb16td7bLFu2LJYsWYK6devqve2vnbm5OdavX4+aNWtKArbkcjkWL16MP//8E76+vihVqhTy58+P2NhYPHnyBMeOHUNCQoKwXTMzM6xYsSLTwLCconnz5hgxYgQWLVokmXb//n20aNECBQoUgJ+fH9zc3JArVy68fPkSV65cQc+D8FYAANtQSURBVGhoqMp2q1atmmX7rib0/Z3i7u6OgwcPqj0wxczMDLNnzxYOhnr06BFatGiBokWLwtfXF0WKFIGlpSUiIiJw//59nDp1ShIwU7BgQSxZsgQ1atTQy/aIfPfdd5g6dapkcPdn7dq1g6urq8HWT1kjJSUFe/fuxd69ewEA+fPnTzu2zps3L2xsbPDhwwfEx8fj6dOnuH79OsLCwjJsM3fu3Ni5cydcXFyyYAs+cXFxQf/+/bFkyRLJtFevXkkG5aeXUbBLgQIFMG3aNMnAagA4duwYqlWrhqpVq6JatWpwdXVFYmIiXr16hVOnTuHp06eStlauXIlatWqpuWXGsWvXLuzatUvv7Q4bNixbBrsAnwaTv379GjNnzpRMCw8Px/jx4zF+/HiUKFECVapUQZ48eeDi4oKPHz8iJiYGMTExuHfvHm7cuGG0gaTq6tSpE8LCwjBu3Djh9OjoaMlAa5FevXrhp59+QkBAgGRaRoNyNeHm5oZWrVph9+7dwuk2Njbo0aOHXtZlaIY4B27WrBl27Nih9vNdtGhRDB48GIsXL5ZMO3bsGMqXL48KFSqgevXqyJcvH1JSUvD69WsEBwcjJCREskyjRo3QtWtXfPfddzpth1wux8mTJ9MG7To7O6Ny5cooXLgwXFxc4OjoiKSkJLx9+xZ3797FxYsX8f79e2FbRYoUwS+//KL2utevX4+YmBgcPnxYMu3atWvo3r07LCwsUKlSJXh7e8PFxQUODg5ITExETEwM3r59i5s3b+L+/fvCwAZNlClTBjNmzMDEiRMl0+7evYvGjRujcOHCqFu3Ltzc3GBubo4XL17g7NmzePjwodL8lpaWWLVqFWrWrKlTn7R19uxZ3L17V1KvXbs2ihYtarD1FitWDLVq1cKZM2eU6qdOncKjR4/g6emZaRs9e/bEpEmTMn09W7VqJQxd0cTw4cPxxx9/SMLWPn78iOnTp2P+/PmoXbs2vL294ejoiJiYGLx48QInT57EmzdvJO0tWbIEK1euzLbBLjVr1sS3334r/F75559/sH37dlSrVg1VqlSBq6srPnz4gFevXuH8+fPCbf7uu+9QpEgRvQe7dOzYEVevXsV///0H4FMY1IQJEzB9+nTUr18fnp6ecHFxQUREBO7du4egoCCVQSKurq5YsWKFXvuXXYwaNQq7d++WPDfJyck4duwYjh07pnLZwoULaxXskpOOK9Qlk8mwfft21KpVC69evZJMv337Nrp16wZ7e3vUqFEDHh4ecHZ2hkKhQFRUFC5fvozr168Lwzw+69evH/r166dV/yIjI7FkyRIsWbIE1tbWKFu2LMqWLQtXV1fY29sjOjoar169wt27d4XHIp/Z29tjz549KFu2rM7fx7rI6Fz6y/NyffD19dU42MXT0xOrVq1C586dJa/pxYsXUaVKFVSuXBk+Pj7IkycPEhMTcfPmTRw/flwShPpZ27Zt1Q4Z1FRCQoLkb2edO3fW+m8nc+fORYcOHdIeKxQKdOnSBadPn8aAAQNQvHhxxMbG4sCBA5g8ebIkQPDbb7816HU6IiIiIiIiIiIiIiIiIiIioqzEYBciIqKvhKWlJdatWwdfX1+MHDkS7969UzlvWFhYpoNLM9KqVSsMHTpU4+XKly+Py5cvo1u3bhn+kPz+/ftaDZjIkycP1q5dixYtWmi8bFbr3bs35s6dK7lT+Pnz53HgwAE0a9bMSD3Tr5IlS6JgwYIIDw9XOY8+Qjxq1aqV4XvGw8PDoAOdTMWYMWOwbNkyREVFGbsrGqlYsSLGjBmDzp07w9zc3NjdybGKFy+Ow4cPo2nTpoiMjJRMl8vlCAoKQlBQkFrtWVhYYPny5cI7sOZkCxcuRGJiosqBYq9evcI///yjdntVq1bFoUOHNLoLc3Yjk8nw3XffYfbs2RoP1Gzbti1++uknLFy4UDj96dOn2Lx5c6btODo6Yv/+/cK7vetT3rx50a5dO2zdulU4feDAgQZdPxnH69ev8fr1a62Xz58/P3bt2mWUgeLz58/HuXPncPXqVb23PXr0aOzdu1cyEBz4NNjr0qVLuHTpUoZtODk54eDBgzoP8ibjmTFjBvLmzYuRI0fi48ePwnm0Pf8zNWPHjoWLiwuGDx+ucpBmRoYMGYI//vgDAIShevo8Vhg8eLDKAdidOnUy+PelKbKzs8Ps2bMxfPhwmJmZabTsL7/8gvPnz+PixYvC6SEhIRkOnP6sfPny2L59u0FCoqKjozO8DqOKm5sbDh48CHt7e7WXsba2xn///YeBAwdi3bp1wnlSUlLU+h7Qh7Fjx+Lhw4dYtWqVcPrz58/VOp5ctmyZUQcer127Vljv0qWLwdfdrVs3yfe5QqHA2rVrheFd6bm5uaFRo0Y4dOhQhvPpI/zB1tYWu3btgp+fn/CzOCEhAYcPHxYGD6U3bdo09OjRAytXrtS5X8a0evVq1KhRAw8ePJBMk8vluHDhAi5cuJBpO/7+/liyZIlGQU+a2LBhA2rXro2bN2+m1ZKSknDgwAG12/gcRKFO4FBOVKNGDcyZMwfjx4/P0vV+jccVHh4e2L9/P5o0aSK8xgYA8fHxOHr0qMZtt23bFsuXL9e1iwA+7UNXrlzROIypSJEi2L17NypXrqyXfuR0HTt2RGRkJIYNGyYM7Ll69ara59wNGjRQ67hEW3PmzMHz58/THtva2mLBggVat9e+fXt06tRJKRj2c4i4KPjwS66urli2bJnW6yYiIiIiIiIiIiIiIiIiIiIyNZr9ApmIiIiyvQEDBuDu3bvo0aOH3gMSfHx8EBgYiD179qBkyZJatZEvXz4cPXoUK1euRIECBfTSL3Nzc/Tt2xe3b9/OFqEuwKcgHtEdowFg+vTpWdsZA/Pz88twuj6CXTIbCJ1ZH3IKR0dHjBs3ztjdyJRMJkO5cuUwfvx4XL16FcHBwejWrRtDXbJA5cqVcfnyZdSuXVundooUKYJDhw5pfffg7Ewmk+Hvv//G4sWLkTt3bp3a6tevH4KCguDi4qKn3pkWOzs79OnTB+fOncMff/yhdTDD/Pnz8cMPP2jdD09PT5w5cwYVK1bUug1NDBkyRFgvUaKE1ndAJuP57rvvUKZMGYO0bWZmhiFDhuDOnTvw8fExyDoyY2Njg9OnT2P48OF6D5iysLDAwYMHUa9ePa2W9/T0xNmzZ1GhQgW99ouy3rBhw3Du3Dm9Dwz19PRE6dKl9dqmrvr3748rV66gadOmai9TsmRJBAQEYOnSpWnHw9HR0ZL59Hm80LhxY3zzzTfCaQMGDNDberIDNzc3TJgwAbdu3cKIESM0DnUBPgWZ/Pvvvzqd2zZp0gRBQUE6BVnJZDKtlxWpV68ejh8/Di8vL42XtbKywtq1a7F582a9Xfv5zMfHR+P9YcGCBZgwYYJWr6+VlRXWrFlj1HOf9+/fC8MjLSwssiRos1OnTrCwkN5HYv369cIB7CJ9+vTJcHqhQoXQoEEDbbonUb16dQQEBGj9uWlpaYnFixfnmOtzLi4uOHz4MMqXL691G126dMHWrVthaWmpx54pc3R0xMmTJ1GrVi2tlnd3d9dp+Zxi3Lhx2LlzZ5YGXH+txxWVKlVCaGgomjdvrpf2bGxs8Mcff2Dnzp3Cz9ys0q1bN4SEhDDURUNDhw7Fjh07dDqWGzRoEPbv32+w8OcHDx7gt99+U6pNnDgRhQsX1qnddevWaXT+A3y6ScOxY8dQsGBBndZNREREREREREREREREREREZEoY7EJERPQVKlSoEDZs2IAHDx5gzJgxOv2Qu1ChQhgzZgxu3LiBs2fP6iWEA/g0mP3x48dYunSp1j8SdnV1xffff487d+5g9erVyJMnj176llV69+4NDw8PSf3ixYvYt2+fEXpkGFkR7JLZoI2vaSD98OHDUahQIaOtXyaTwdraGg4ODsifPz/KlSuHBg0aoF+/fliwYAH279+Pt2/f4vr16/j5559RqVIlo/X1a1W0aFGcPHkSy5Yt0ziky8XFBVOnTsXNmzdRv359A/Uwexg+fDhu3LiBvn37wsrKSqNl69Wrh8DAQKxcuRI2NjYG6mHWkMlksLOzg5ubG7y9vdGyZUtMmzYNe/bsQXh4ONasWYNq1arptA5zc3MsWrQIO3bsQKlSpdRezsHBARMmTEBoaKjBgjlEVN0dPicPaMvJRo4ciRs3buDevXv49ddf0aRJEzg4OOjUZsGCBfHTTz8hJCQES5cuNfod7G1sbLB48WK8fPkSf//9N/r164eqVavCzc0NDg4OWg2C/8zOzg4HDx7EggUL1N5OGxsbjBw5EtevXze50A7SXpUqVXD58mX8888/Og24dnd3x6BBgxAUFISHDx+aZICjt7c3Dhw4gNDQUEyePBl+fn7Inz8/LC0tYWlpCVdXV1SvXh3ff/89Dh48iNu3b6N169ZpyysUCkREREja1Wc4hkwmE56LlilTRucAQFNkbm4OJycnFC1aFBUqVEDXrl0xf/58BAYG4unTp5g7dy6KFCmi0zry5MmDffv2Yfr06RqFSbi7u2PVqlU4cOCATgOBAWDXrl3YsmULunfvjnz58mndjo+PDzZt2oR9+/bp/Lx07doV9+/fx4IFC1QeI2VGJpOhUqVKmDx5Mu7du4ezZ89qtX1jx47Fvn37ULVqVbWXqVevHq5cuZJpKImh7dixA3FxcZJ6gwYNsuRaWJ48edC4cWNJ/cmTJzh+/LhabbRp0ybDY4Fu3brpdMyRXuPGjXHlyhW0a9dO7dAjmUyGJk2a4OrVqxg+fLje+mIKPDw8cO7cOYwaNQq2trZqL1emTBls2rQJy5Ytg7W1tQF7+EmePHkQFBSEefPmqf1Zam1tjR9++AHBwcEMovj/2rZti8ePH+PQoUMYM2YMGjVqBA8PD7i6ump8/UIdX9txxZfy58+Pffv2Ye/evWjWrJlWIWsuLi4YPXo0bt++jWHDhmndl1KlSqFLly5wdnbWeFkLCwu0adMGFy5cwKZNm7Rqgz7te3fu3EG/fv002teqV6+OY8eOYfny5QbZRz8bMWIEkpKS0h4XL14co0aN0rndXLlyISAgAJMnT1bru6Jhw4Y4d+4cQ1yJiIiIiIiIiIiIiIiIiIgox5Ep1L1dHhGRDm7evImyZcumPT5//jxq1KhhsPWlpKTg/v37SrUSJUro7S52crlc6cdt1tbWev1heVbKSdsC5LztSU1NRXx8fNpje3v7tDt061twcDDOnDmDy5cv4+HDh3jy5AliY2ORmJgIc3NzODs7w9nZGa6urihbtiyqVauG6tWrw9vbW+3nWJfX58GDBzh+/DjOnz+Pe/fuISwsLK1/VlZWsLW1RcGCBfHNN9+gYsWK8PPzg6+vr0HvFJvT3m85bXuycv/JCjnt9eH2mLYv959Lly4hMDAQly5dwv379xEREYH379/DysoKzs7O8PDwQJUqVdCgQQM0a9bMoAMMtGXs1yc6Ohq7d+9GYGAgQkND8fTpU8TFxSE1NRW2trZwc3ODl5cXateujTZt2qi8k/Vnxt4efdPn9sjlcuzfvx+HDx/GmTNnEB4ejrdv30Imk8He3h7u7u4oV64cGjZsiNatW8POzk5p+Y8fP+Lhw4eSdr/55hu1jyky+/6ZPXs2pkyZorSMlZUVnj9/jrx582qyuVmC7zft1nH9+nVcunQJ9+7dw/379/Ho0SNERUUhPj4eCQkJsLa2hr29PRwcHNKOrytWrIhKlSqhRo0aah2z5LTX5u3bt/j3339x9OhR3LhxA1FRUYiKioK1tTUKFCiAcuXKoXHjxujYsWO2CGzMaa9PVm/P06dPceDAAVy4cAE3b97Es2fPEBMTg6SkJNjY2MDe3h5OTk7w9PSEl5cXypQpg7p166J48eJqtZ+dX59bt24JA8lCQ0NRuHBhALqf+zx9+hQeHh6Qy+VK9d9//x0jRozQul11ZefXRyT99nz8+BE7d+7E8ePHcfnyZURGRiImJgaWlpZwdnZG8eLFUaVKFTRt2hQNGzaUbHtsbCzCw8OVapaWlpkeQ6Z3//59nDt3DteuXcODBw/w6NEjREZG4t27d0hKSoKtrW1aIGf58uVRqVIlNG/eHB4eHgZ7fa5evYqjR4+mnXs8f/4c7969Q0pKCmxtbWFvbw9XV1eULFkSXl5eqFChAvz9/XX6XhAdu507dw47duzA2bNncf/+fcTFxcHS0hIuLi4oVaoUatWqhfbt25tkEGlO338MsT137tzBzp07cfLkSdy/fx9v3rzB+/fvYWtriwIFCsDLywu+vr749ttvheGnT58+RWJiolItT548wvdldnh93rx5g+3bt+PEiRMICQlBZGQk4uLikCtXLri6uqJEiRKoXr06mjdvDh8fH8n+Ex0djTdv3ii1mTt3bp2CxUUSEhKwe/duHDx4ECEhIXj69CnevXsHS0vLtCDhhg0bolu3bmqfZ2WH10cTprI9+jquMJXt0cXTp08RGBiICxcu4MqVK4iIiEBsbGza94yTkxOcnJxQrFgx1KhRAzVr1oSfnx9y5cqltz6kpqYiODgY586dw5UrV/DgwQOlvwVZWlrCwcEB7u7u8Pb2hp+fH5o1a4b8+fOrbDMnvDZfyortef36NXbt2oXjx4/jxo0bePHiBRISEmBlZQUXFxd4eXnBx8cHrVu31jkQWZ3t2bt3L1q1aiWptWjRQqd1p/fkyRNs3boV+/btw+PHjxEREQFbW1sUKlQIderUQYcOHdCgQYMM2zDU330M/dsCVZKSkvD48eO0xx4eHlkSlmYo3B7TFhcXhxMnTqQ9rlevns4B1caU014fbo9p4/5j2rg9po37j+nKSdsC5Lzt4b5j2rg9po37j2nj9pg27j+mjdtj2rj/mDZuj+nivmPauD2mjfuPaeP2mLb0WQc3btzI0htFG/ZXCERERJRtVKpUySQHpHxWvHhxFC9eHAMHDjR2V4iIvirVqlVD/fr1s3UwkrE5Ozujb9++6Nu3r7G7kuOZmZmhZcuWaNmypVbLW1pawsvLS8+9+j8KhQJr1qyR1Nu0aWOSoS6kHTMzM1SsWBEVK1Y0dleyFScnJ3Tu3BmdO3cGkP1D+Ug3RYsWxaBBgzBo0CBjd8XkBAYGSmouLi5poS76sGbNGsng61y5cqFXr156W8fXzM7ODn369EGfPn20Wt7R0RGOjo4696NEiRIoUaKExq9r+veGPlWuXBmVK1c2WPvq8vX1ha+vr7G7QVnEy8sLEydOxMSJE7VaXt+BJcaWJ08eDBkyBEOGDMl03tTUVOHyWRHCZ2tri+7du6N79+4GXxfphscV/6do0aLo2bMnevbsabRQcnNzc1StWhVVq1Y1+LpItfz582Pw4MEYPHiwsbsCAGjZsiWy4n5QxYoVw7hx4zBu3DiDr4uIiIiIiIiIiIiIiIiIiIjI1GTfWyUREREREREREWUjhw8fxqNHjyR1BtcREZG6/vrrL0mtTp06ems/NTUVK1eulNQ7dOgAZ2dnva2HiIiIcj4eVxAREREREREREREREREREREREX3CYBciIiIiIiIioiywZMkSSa1UqVKoX7++EXpDRETZze7duxESEiKpt27dWm/rCAgIwPPnzyX1oUOH6m0dRERE9HXgcQUREREREREREREREREREREREdEnDHYhIiIiIiIiIjKwa9euYe/evZL6999/D5lMZoQeERFRdvLkyRP069dPUre3t0fbtm31sg6FQoHZs2dL6pUrV4aPj49e1kFERERfBx5XEBERERERERERERERERERERER/R8GuxARERERERERGZBcLsfw4cOhUCiU6s7Ozujdu7eRekVERFnl3r17mDBhAsL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"text/plain": [ "
" ] @@ -362,7 +362,7 @@ "outputs": [ { "data": { - "image/png": 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"text/plain": [ "
" ] @@ -604,7 +604,7 @@ " \n", " \n", " \n", - " 2023-10-26 11:50:35.814094\n", + " 2023-11-12 14:53:10.917767\n", " 2002-01-01 00:00:00\n", " 0\n", " 1\n", @@ -695,7 +695,7 @@ " 1\n", " \n", " \n", - " 2023-10-26 11:50:35.833984\n", + " 2023-11-12 14:53:10.941866\n", " 2002-01-01 01:00:00\n", " 1\n", " 1\n", @@ -786,7 +786,7 @@ " 1\n", " \n", " \n", - " 2023-10-26 11:50:35.834149\n", + " 2023-11-12 14:53:10.942005\n", " 2002-01-01 02:00:00\n", " 2\n", " 1\n", @@ -877,7 +877,7 @@ " 1\n", " \n", " \n", - " 2023-10-26 11:50:35.834229\n", + " 2023-11-12 14:53:10.942080\n", " 2002-01-01 03:00:00\n", " 3\n", " 1\n", @@ -968,7 +968,7 @@ " 1\n", " \n", " \n", - " 2023-10-26 11:50:35.834306\n", + " 2023-11-12 14:53:10.942162\n", " 2002-01-01 04:00:00\n", " 4\n", " 1\n", @@ -1065,147 +1065,147 @@ "text/plain": [ " env_datetime env_time WTG_0000 WTG_0001 \\\n", "datetime \n", - "2023-10-26 11:50:35.814094 2002-01-01 00:00:00 0 1 1 \n", - "2023-10-26 11:50:35.833984 2002-01-01 01:00:00 1 1 1 \n", - "2023-10-26 11:50:35.834149 2002-01-01 02:00:00 2 1 1 \n", - "2023-10-26 11:50:35.834229 2002-01-01 03:00:00 3 1 1 \n", - "2023-10-26 11:50:35.834306 2002-01-01 04:00:00 4 1 1 \n", + "2023-11-12 14:53:10.917767 2002-01-01 00:00:00 0 1 1 \n", + "2023-11-12 14:53:10.941866 2002-01-01 01:00:00 1 1 1 \n", + "2023-11-12 14:53:10.942005 2002-01-01 02:00:00 2 1 1 \n", + "2023-11-12 14:53:10.942080 2002-01-01 03:00:00 3 1 1 \n", + "2023-11-12 14:53:10.942162 2002-01-01 04:00:00 4 1 1 \n", "\n", " WTG_0002 WTG_0003 WTG_0004 WTG_0005 WTG_0006 \\\n", "datetime \n", - "2023-10-26 11:50:35.814094 1 1 1 1 1 \n", - "2023-10-26 11:50:35.833984 1 1 1 1 1 \n", - "2023-10-26 11:50:35.834149 1 1 1 1 1 \n", - "2023-10-26 11:50:35.834229 1 1 1 1 1 \n", - "2023-10-26 11:50:35.834306 1 1 1 1 1 \n", + "2023-11-12 14:53:10.917767 1 1 1 1 1 \n", + "2023-11-12 14:53:10.941866 1 1 1 1 1 \n", + "2023-11-12 14:53:10.942005 1 1 1 1 1 \n", + "2023-11-12 14:53:10.942080 1 1 1 1 1 \n", + "2023-11-12 14:53:10.942162 1 1 1 1 1 \n", "\n", " WTG_0007 WTG_0008 WTG_0009 WTG_0100 WTG_0101 \\\n", "datetime \n", - "2023-10-26 11:50:35.814094 1 1 1 1 1 \n", - "2023-10-26 11:50:35.833984 1 1 1 1 1 \n", - "2023-10-26 11:50:35.834149 1 1 1 1 1 \n", - "2023-10-26 11:50:35.834229 1 1 1 1 1 \n", - "2023-10-26 11:50:35.834306 1 1 1 1 1 \n", + "2023-11-12 14:53:10.917767 1 1 1 1 1 \n", + "2023-11-12 14:53:10.941866 1 1 1 1 1 \n", + "2023-11-12 14:53:10.942005 1 1 1 1 1 \n", + "2023-11-12 14:53:10.942080 1 1 1 1 1 \n", + "2023-11-12 14:53:10.942162 1 1 1 1 1 \n", "\n", " WTG_0102 WTG_0103 WTG_0104 WTG_0105 WTG_0106 \\\n", "datetime \n", - "2023-10-26 11:50:35.814094 1 1 1 1 1 \n", - "2023-10-26 11:50:35.833984 1 1 1 1 1 \n", - "2023-10-26 11:50:35.834149 1 1 1 1 1 \n", - "2023-10-26 11:50:35.834229 1 1 1 1 1 \n", - "2023-10-26 11:50:35.834306 1 1 1 1 1 \n", + "2023-11-12 14:53:10.917767 1 1 1 1 1 \n", + "2023-11-12 14:53:10.941866 1 1 1 1 1 \n", + "2023-11-12 14:53:10.942005 1 1 1 1 1 \n", + "2023-11-12 14:53:10.942080 1 1 1 1 1 \n", + "2023-11-12 14:53:10.942162 1 1 1 1 1 \n", "\n", " WTG_0107 WTG_0108 WTG_0109 WTG_0200 WTG_0201 \\\n", "datetime \n", - "2023-10-26 11:50:35.814094 1 1 1 1 1 \n", - "2023-10-26 11:50:35.833984 1 1 1 1 1 \n", - "2023-10-26 11:50:35.834149 1 1 1 1 1 \n", - "2023-10-26 11:50:35.834229 1 1 1 1 1 \n", - "2023-10-26 11:50:35.834306 1 1 1 1 1 \n", + "2023-11-12 14:53:10.917767 1 1 1 1 1 \n", + "2023-11-12 14:53:10.941866 1 1 1 1 1 \n", + "2023-11-12 14:53:10.942005 1 1 1 1 1 \n", + "2023-11-12 14:53:10.942080 1 1 1 1 1 \n", + "2023-11-12 14:53:10.942162 1 1 1 1 1 \n", "\n", " WTG_0202 WTG_0203 WTG_0204 WTG_0205 WTG_0206 \\\n", "datetime \n", - "2023-10-26 11:50:35.814094 1 1 1 1 1 \n", - "2023-10-26 11:50:35.833984 1 1 1 1 1 \n", - "2023-10-26 11:50:35.834149 1 1 1 1 1 \n", - "2023-10-26 11:50:35.834229 1 1 1 1 1 \n", - "2023-10-26 11:50:35.834306 1 1 1 1 1 \n", + "2023-11-12 14:53:10.917767 1 1 1 1 1 \n", + "2023-11-12 14:53:10.941866 1 1 1 1 1 \n", + "2023-11-12 14:53:10.942005 1 1 1 1 1 \n", + "2023-11-12 14:53:10.942080 1 1 1 1 1 \n", + "2023-11-12 14:53:10.942162 1 1 1 1 1 \n", "\n", " WTG_0207 WTG_0208 WTG_0209 WTG_0300 WTG_0301 \\\n", "datetime \n", - "2023-10-26 11:50:35.814094 1 1 1 1 1 \n", - "2023-10-26 11:50:35.833984 1 1 1 1 1 \n", - "2023-10-26 11:50:35.834149 1 1 1 1 1 \n", - "2023-10-26 11:50:35.834229 1 1 1 1 1 \n", - "2023-10-26 11:50:35.834306 1 1 1 1 1 \n", + "2023-11-12 14:53:10.917767 1 1 1 1 1 \n", + "2023-11-12 14:53:10.941866 1 1 1 1 1 \n", + "2023-11-12 14:53:10.942005 1 1 1 1 1 \n", + "2023-11-12 14:53:10.942080 1 1 1 1 1 \n", + "2023-11-12 14:53:10.942162 1 1 1 1 1 \n", "\n", " WTG_0302 WTG_0303 WTG_0304 WTG_0305 WTG_0306 \\\n", "datetime \n", - "2023-10-26 11:50:35.814094 1 1 1 1 1 \n", - "2023-10-26 11:50:35.833984 1 1 1 1 1 \n", - "2023-10-26 11:50:35.834149 1 1 1 1 1 \n", - "2023-10-26 11:50:35.834229 1 1 1 1 1 \n", - "2023-10-26 11:50:35.834306 1 1 1 1 1 \n", + "2023-11-12 14:53:10.917767 1 1 1 1 1 \n", + "2023-11-12 14:53:10.941866 1 1 1 1 1 \n", + "2023-11-12 14:53:10.942005 1 1 1 1 1 \n", + "2023-11-12 14:53:10.942080 1 1 1 1 1 \n", + "2023-11-12 14:53:10.942162 1 1 1 1 1 \n", "\n", " WTG_0307 WTG_0308 WTG_0309 WTG_0400 WTG_0401 \\\n", "datetime \n", - "2023-10-26 11:50:35.814094 1 1 1 1 1 \n", - "2023-10-26 11:50:35.833984 1 1 1 1 1 \n", - "2023-10-26 11:50:35.834149 1 1 1 1 1 \n", - "2023-10-26 11:50:35.834229 1 1 1 1 1 \n", - "2023-10-26 11:50:35.834306 1 1 1 1 1 \n", + "2023-11-12 14:53:10.917767 1 1 1 1 1 \n", + "2023-11-12 14:53:10.941866 1 1 1 1 1 \n", + "2023-11-12 14:53:10.942005 1 1 1 1 1 \n", + "2023-11-12 14:53:10.942080 1 1 1 1 1 \n", + "2023-11-12 14:53:10.942162 1 1 1 1 1 \n", "\n", " WTG_0402 WTG_0403 WTG_0404 WTG_0405 WTG_0406 \\\n", "datetime \n", - "2023-10-26 11:50:35.814094 1 1 1 1 1 \n", - "2023-10-26 11:50:35.833984 1 1 1 1 1 \n", - "2023-10-26 11:50:35.834149 1 1 1 1 1 \n", - "2023-10-26 11:50:35.834229 1 1 1 1 1 \n", - "2023-10-26 11:50:35.834306 1 1 1 1 1 \n", + "2023-11-12 14:53:10.917767 1 1 1 1 1 \n", + "2023-11-12 14:53:10.941866 1 1 1 1 1 \n", + "2023-11-12 14:53:10.942005 1 1 1 1 1 \n", + "2023-11-12 14:53:10.942080 1 1 1 1 1 \n", + "2023-11-12 14:53:10.942162 1 1 1 1 1 \n", "\n", " WTG_0407 WTG_0408 WTG_0409 WTG_0500 WTG_0501 \\\n", "datetime \n", - "2023-10-26 11:50:35.814094 1 1 1 1 1 \n", - "2023-10-26 11:50:35.833984 1 1 1 1 1 \n", - "2023-10-26 11:50:35.834149 1 1 1 1 1 \n", - "2023-10-26 11:50:35.834229 1 1 1 1 1 \n", - "2023-10-26 11:50:35.834306 1 1 1 1 1 \n", + "2023-11-12 14:53:10.917767 1 1 1 1 1 \n", + "2023-11-12 14:53:10.941866 1 1 1 1 1 \n", + "2023-11-12 14:53:10.942005 1 1 1 1 1 \n", + "2023-11-12 14:53:10.942080 1 1 1 1 1 \n", + "2023-11-12 14:53:10.942162 1 1 1 1 1 \n", "\n", " WTG_0502 WTG_0503 WTG_0504 WTG_0505 WTG_0506 \\\n", "datetime \n", - "2023-10-26 11:50:35.814094 1 1 1 1 1 \n", - "2023-10-26 11:50:35.833984 1 1 1 1 1 \n", - "2023-10-26 11:50:35.834149 1 1 1 1 1 \n", - "2023-10-26 11:50:35.834229 1 1 1 1 1 \n", - "2023-10-26 11:50:35.834306 1 1 1 1 1 \n", + "2023-11-12 14:53:10.917767 1 1 1 1 1 \n", + "2023-11-12 14:53:10.941866 1 1 1 1 1 \n", + "2023-11-12 14:53:10.942005 1 1 1 1 1 \n", + "2023-11-12 14:53:10.942080 1 1 1 1 1 \n", + "2023-11-12 14:53:10.942162 1 1 1 1 1 \n", "\n", " WTG_0507 WTG_0508 WTG_0509 WTG_0600 WTG_0601 \\\n", "datetime \n", - "2023-10-26 11:50:35.814094 1 1 1 1 1 \n", - "2023-10-26 11:50:35.833984 1 1 1 1 1 \n", - "2023-10-26 11:50:35.834149 1 1 1 1 1 \n", - "2023-10-26 11:50:35.834229 1 1 1 1 1 \n", - "2023-10-26 11:50:35.834306 1 1 1 1 1 \n", + "2023-11-12 14:53:10.917767 1 1 1 1 1 \n", + "2023-11-12 14:53:10.941866 1 1 1 1 1 \n", + "2023-11-12 14:53:10.942005 1 1 1 1 1 \n", + "2023-11-12 14:53:10.942080 1 1 1 1 1 \n", + "2023-11-12 14:53:10.942162 1 1 1 1 1 \n", "\n", " WTG_0602 WTG_0603 WTG_0604 WTG_0605 WTG_0606 \\\n", "datetime \n", - "2023-10-26 11:50:35.814094 1 1 1 1 1 \n", - "2023-10-26 11:50:35.833984 1 1 1 1 1 \n", - "2023-10-26 11:50:35.834149 1 1 1 1 1 \n", - "2023-10-26 11:50:35.834229 1 1 1 1 1 \n", - "2023-10-26 11:50:35.834306 1 1 1 1 1 \n", + "2023-11-12 14:53:10.917767 1 1 1 1 1 \n", + "2023-11-12 14:53:10.941866 1 1 1 1 1 \n", + "2023-11-12 14:53:10.942005 1 1 1 1 1 \n", + "2023-11-12 14:53:10.942080 1 1 1 1 1 \n", + "2023-11-12 14:53:10.942162 1 1 1 1 1 \n", "\n", " WTG_0607 WTG_0608 WTG_0609 WTG_0700 WTG_0701 \\\n", "datetime \n", - "2023-10-26 11:50:35.814094 1 1 1 1 1 \n", - "2023-10-26 11:50:35.833984 1 1 1 1 1 \n", - "2023-10-26 11:50:35.834149 1 1 1 1 1 \n", - "2023-10-26 11:50:35.834229 1 1 1 1 1 \n", - "2023-10-26 11:50:35.834306 1 1 1 1 1 \n", + "2023-11-12 14:53:10.917767 1 1 1 1 1 \n", + "2023-11-12 14:53:10.941866 1 1 1 1 1 \n", + "2023-11-12 14:53:10.942005 1 1 1 1 1 \n", + "2023-11-12 14:53:10.942080 1 1 1 1 1 \n", + "2023-11-12 14:53:10.942162 1 1 1 1 1 \n", "\n", " WTG_0702 WTG_0703 WTG_0704 WTG_0705 WTG_0706 \\\n", "datetime \n", - "2023-10-26 11:50:35.814094 1 1 1 1 1 \n", - "2023-10-26 11:50:35.833984 1 1 1 1 1 \n", - "2023-10-26 11:50:35.834149 1 1 1 1 1 \n", - "2023-10-26 11:50:35.834229 1 1 1 1 1 \n", - "2023-10-26 11:50:35.834306 1 1 1 1 1 \n", + "2023-11-12 14:53:10.917767 1 1 1 1 1 \n", + "2023-11-12 14:53:10.941866 1 1 1 1 1 \n", + "2023-11-12 14:53:10.942005 1 1 1 1 1 \n", + "2023-11-12 14:53:10.942080 1 1 1 1 1 \n", + "2023-11-12 14:53:10.942162 1 1 1 1 1 \n", "\n", " WTG_0707 WTG_0708 WTG_0709 SS1 SS2 windfarm \\\n", "datetime \n", - "2023-10-26 11:50:35.814094 1 1 1 1 1 1.0 \n", - "2023-10-26 11:50:35.833984 1 1 1 1 1 1.0 \n", - "2023-10-26 11:50:35.834149 1 1 1 1 1 1.0 \n", - "2023-10-26 11:50:35.834229 1 1 1 1 1 1.0 \n", - "2023-10-26 11:50:35.834306 1 1 1 1 1 1.0 \n", + "2023-11-12 14:53:10.917767 1 1 1 1 1 1.0 \n", + "2023-11-12 14:53:10.941866 1 1 1 1 1 1.0 \n", + "2023-11-12 14:53:10.942005 1 1 1 1 1 1.0 \n", + "2023-11-12 14:53:10.942080 1 1 1 1 1 1.0 \n", + "2023-11-12 14:53:10.942162 1 1 1 1 1 1.0 \n", "\n", " year month day \n", "datetime \n", - "2023-10-26 11:50:35.814094 2002 1 1 \n", - "2023-10-26 11:50:35.833984 2002 1 1 \n", - "2023-10-26 11:50:35.834149 2002 1 1 \n", - "2023-10-26 11:50:35.834229 2002 1 1 \n", - "2023-10-26 11:50:35.834306 2002 1 1 " + "2023-11-12 14:53:10.917767 2002 1 1 \n", + "2023-11-12 14:53:10.941866 2002 1 1 \n", + "2023-11-12 14:53:10.942005 2002 1 1 \n", + "2023-11-12 14:53:10.942080 2002 1 1 \n", + "2023-11-12 14:53:10.942162 2002 1 1 " ] }, "execution_count": 15, @@ -1257,145 +1257,145 @@ " \n", " \n", " \n", - " 2023-10-26 11:50:37.783638\n", + " 2023-11-12 14:53:12.887889\n", " 2003-01-20 11:00:00\n", " 9227\n", " 0.4375\n", " \n", " \n", - " 2023-10-26 11:50:37.783910\n", + " 2023-11-12 14:53:12.888341\n", " 2003-01-20 12:00:00\n", " 9228\n", " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.783980\n", + " 2023-11-12 14:53:12.888412\n", " 2003-01-20 13:00:00\n", " 9229\n", " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.784044\n", + " 2023-11-12 14:53:12.888478\n", " 2003-01-20 14:00:00\n", " 9230\n", " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.786237\n", + " 2023-11-12 14:53:12.890764\n", " 2003-01-20 15:00:00\n", " 9231\n", " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.786428\n", + " 2023-11-12 14:53:12.891164\n", " 2003-01-20 16:00:00\n", " 9232\n", " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.786499\n", + " 2023-11-12 14:53:12.891236\n", " 2003-01-20 17:00:00\n", " 9233\n", " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.786637\n", + " 2023-11-12 14:53:12.891385\n", " 2003-01-20 18:00:00\n", " 9234\n", " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.787928\n", + " 2023-11-12 14:53:12.892813\n", " 2003-01-20 19:00:00\n", " 9235\n", " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.789044\n", + " 2023-11-12 14:53:12.893974\n", " 2003-01-20 20:00:00\n", " 9236\n", " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.789116\n", + " 2023-11-12 14:53:12.894046\n", " 2003-01-20 21:00:00\n", " 9237\n", " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.790587\n", + " 2023-11-12 14:53:12.895649\n", " 2003-01-20 22:00:00\n", " 9238\n", " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.790729\n", + " 2023-11-12 14:53:12.895820\n", " 2003-01-20 23:00:00\n", " 9239\n", " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.790921\n", + " 2023-11-12 14:53:12.896020\n", " 2003-01-21 00:00:00\n", " 9240\n", " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.790984\n", + " 2023-11-12 14:53:12.896087\n", " 2003-01-21 01:00:00\n", " 9241\n", " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.791046\n", + " 2023-11-12 14:53:12.896151\n", " 2003-01-21 02:00:00\n", " 9242\n", " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.791111\n", + " 2023-11-12 14:53:12.896215\n", " 2003-01-21 03:00:00\n", " 9243\n", " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.791173\n", + " 2023-11-12 14:53:12.896282\n", " 2003-01-21 04:00:00\n", " 9244\n", " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.791237\n", + " 2023-11-12 14:53:12.896347\n", " 2003-01-21 05:00:00\n", " 9245\n", " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.792320\n", + " 2023-11-12 14:53:12.897497\n", " 2003-01-21 06:00:00\n", " 9246\n", " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.792423\n", + " 2023-11-12 14:53:12.897603\n", " 2003-01-21 07:00:00\n", " 9247\n", " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.792963\n", + " 2023-11-12 14:53:12.898210\n", " 2003-01-21 08:00:00\n", " 9248\n", " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.793906\n", + " 2023-11-12 14:53:12.899496\n", " 2003-01-21 09:00:00\n", " 9249\n", " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.795220\n", + " 2023-11-12 14:53:12.901250\n", " 2003-01-21 10:00:00\n", " 9250\n", " 0.0\n", @@ -1407,30 +1407,30 @@ "text/plain": [ " env_datetime env_time windfarm\n", "datetime \n", - "2023-10-26 11:50:37.783638 2003-01-20 11:00:00 9227 0.4375\n", - "2023-10-26 11:50:37.783910 2003-01-20 12:00:00 9228 0.0\n", - "2023-10-26 11:50:37.783980 2003-01-20 13:00:00 9229 0.0\n", - "2023-10-26 11:50:37.784044 2003-01-20 14:00:00 9230 0.0\n", - "2023-10-26 11:50:37.786237 2003-01-20 15:00:00 9231 0.0\n", - "2023-10-26 11:50:37.786428 2003-01-20 16:00:00 9232 0.0\n", - "2023-10-26 11:50:37.786499 2003-01-20 17:00:00 9233 0.0\n", - "2023-10-26 11:50:37.786637 2003-01-20 18:00:00 9234 0.0\n", - "2023-10-26 11:50:37.787928 2003-01-20 19:00:00 9235 0.0\n", - "2023-10-26 11:50:37.789044 2003-01-20 20:00:00 9236 0.0\n", - "2023-10-26 11:50:37.789116 2003-01-20 21:00:00 9237 0.0\n", - "2023-10-26 11:50:37.790587 2003-01-20 22:00:00 9238 0.0\n", - "2023-10-26 11:50:37.790729 2003-01-20 23:00:00 9239 0.0\n", - "2023-10-26 11:50:37.790921 2003-01-21 00:00:00 9240 0.0\n", - "2023-10-26 11:50:37.790984 2003-01-21 01:00:00 9241 0.0\n", - "2023-10-26 11:50:37.791046 2003-01-21 02:00:00 9242 0.0\n", - "2023-10-26 11:50:37.791111 2003-01-21 03:00:00 9243 0.0\n", - "2023-10-26 11:50:37.791173 2003-01-21 04:00:00 9244 0.0\n", - "2023-10-26 11:50:37.791237 2003-01-21 05:00:00 9245 0.0\n", - "2023-10-26 11:50:37.792320 2003-01-21 06:00:00 9246 0.0\n", - "2023-10-26 11:50:37.792423 2003-01-21 07:00:00 9247 0.0\n", - "2023-10-26 11:50:37.792963 2003-01-21 08:00:00 9248 0.0\n", - "2023-10-26 11:50:37.793906 2003-01-21 09:00:00 9249 0.0\n", - "2023-10-26 11:50:37.795220 2003-01-21 10:00:00 9250 0.0" + "2023-11-12 14:53:12.887889 2003-01-20 11:00:00 9227 0.4375\n", + "2023-11-12 14:53:12.888341 2003-01-20 12:00:00 9228 0.0\n", + "2023-11-12 14:53:12.888412 2003-01-20 13:00:00 9229 0.0\n", + "2023-11-12 14:53:12.888478 2003-01-20 14:00:00 9230 0.0\n", + "2023-11-12 14:53:12.890764 2003-01-20 15:00:00 9231 0.0\n", + "2023-11-12 14:53:12.891164 2003-01-20 16:00:00 9232 0.0\n", + "2023-11-12 14:53:12.891236 2003-01-20 17:00:00 9233 0.0\n", + "2023-11-12 14:53:12.891385 2003-01-20 18:00:00 9234 0.0\n", + "2023-11-12 14:53:12.892813 2003-01-20 19:00:00 9235 0.0\n", + "2023-11-12 14:53:12.893974 2003-01-20 20:00:00 9236 0.0\n", + "2023-11-12 14:53:12.894046 2003-01-20 21:00:00 9237 0.0\n", + "2023-11-12 14:53:12.895649 2003-01-20 22:00:00 9238 0.0\n", + "2023-11-12 14:53:12.895820 2003-01-20 23:00:00 9239 0.0\n", + "2023-11-12 14:53:12.896020 2003-01-21 00:00:00 9240 0.0\n", + "2023-11-12 14:53:12.896087 2003-01-21 01:00:00 9241 0.0\n", + "2023-11-12 14:53:12.896151 2003-01-21 02:00:00 9242 0.0\n", + "2023-11-12 14:53:12.896215 2003-01-21 03:00:00 9243 0.0\n", + "2023-11-12 14:53:12.896282 2003-01-21 04:00:00 9244 0.0\n", + "2023-11-12 14:53:12.896347 2003-01-21 05:00:00 9245 0.0\n", + "2023-11-12 14:53:12.897497 2003-01-21 06:00:00 9246 0.0\n", + "2023-11-12 14:53:12.897603 2003-01-21 07:00:00 9247 0.0\n", + "2023-11-12 14:53:12.898210 2003-01-21 08:00:00 9248 0.0\n", + "2023-11-12 14:53:12.899496 2003-01-21 09:00:00 9249 0.0\n", + "2023-11-12 14:53:12.901250 2003-01-21 10:00:00 9250 0.0" ] }, "execution_count": 16, @@ -1469,11 +1469,11 @@ " \n", " \n", " datetime\n", - " 2023-10-26 11:50:32.070895\n", - " 2023-10-26 11:50:32.077281\n", - " 2023-10-26 11:50:32.083091\n", - " 2023-10-26 11:50:32.088945\n", - " 2023-10-26 11:50:32.094791\n", + " 2023-11-12 14:53:06.584873\n", + " 2023-11-12 14:53:06.591930\n", + " 2023-11-12 14:53:06.598390\n", + " 2023-11-12 14:53:06.604994\n", + " 2023-11-12 14:53:06.611976\n", " \n", " \n", " \n", @@ -1682,7 +1682,7 @@ "" ], "text/plain": [ - "datetime 2023-10-26 11:50:32.070895 \\\n", + "datetime 2023-11-12 14:53:06.584873 \\\n", "env_datetime 2002-01-01 00:00:00 \n", "env_time 0.0 \n", "agent WTG_0000 \n", @@ -1709,7 +1709,7 @@ "month 1 \n", "day 1 \n", "\n", - "datetime 2023-10-26 11:50:32.077281 \\\n", + "datetime 2023-11-12 14:53:06.591930 \\\n", "env_datetime 2002-01-01 00:00:00 \n", "env_time 0.0 \n", "agent WTG_0001 \n", @@ -1736,7 +1736,7 @@ "month 1 \n", "day 1 \n", "\n", - "datetime 2023-10-26 11:50:32.083091 \\\n", + "datetime 2023-11-12 14:53:06.598390 \\\n", "env_datetime 2002-01-01 00:00:00 \n", "env_time 0.0 \n", "agent WTG_0002 \n", @@ -1763,7 +1763,7 @@ "month 1 \n", "day 1 \n", "\n", - "datetime 2023-10-26 11:50:32.088945 \\\n", + "datetime 2023-11-12 14:53:06.604994 \\\n", "env_datetime 2002-01-01 00:00:00 \n", "env_time 0.0 \n", "agent WTG_0003 \n", @@ -1790,7 +1790,7 @@ "month 1 \n", "day 1 \n", "\n", - "datetime 2023-10-26 11:50:32.094791 \n", + "datetime 2023-11-12 14:53:06.611976 \n", "env_datetime 2002-01-01 00:00:00 \n", "env_time 0.0 \n", "agent WTG_0004 \n", @@ -1900,7 +1900,7 @@ " \n", " \n", " \n", - " 2023-10-26 11:50:37.778064\n", + " 2023-11-12 14:53:12.881159\n", " 2003-01-20 06:00:00\n", " Crew Transfer Vessel 5\n", " traveling\n", @@ -1912,7 +1912,7 @@ " 1.809689\n", " \n", " \n", - " 2023-10-26 11:50:37.778203\n", + " 2023-11-12 14:53:12.881315\n", " 2003-01-20 06:00:00\n", " Crew Transfer Vessel 3\n", " traveling\n", @@ -1924,7 +1924,7 @@ " 1.809705\n", " \n", " \n", - " 2023-10-26 11:50:37.778341\n", + " 2023-11-12 14:53:12.881462\n", " 2003-01-20 06:00:00\n", " Crew Transfer Vessel 6\n", " traveling\n", @@ -1936,7 +1936,7 @@ " 1.809707\n", " \n", " \n", - " 2023-10-26 11:50:37.778477\n", + " 2023-11-12 14:53:12.881608\n", " 2003-01-20 06:00:00\n", " Crew Transfer Vessel 1\n", " traveling\n", @@ -1948,7 +1948,7 @@ " 1.809725\n", " \n", " \n", - " 2023-10-26 11:50:37.778614\n", + " 2023-11-12 14:53:12.881748\n", " 2003-01-20 06:00:00\n", " Crew Transfer Vessel 4\n", " traveling\n", @@ -1960,7 +1960,7 @@ " 1.809782\n", " \n", " \n", - " 2023-10-26 11:50:37.778749\n", + " 2023-11-12 14:53:12.881890\n", " 2003-01-20 06:00:00\n", " Crew Transfer Vessel 2\n", " traveling\n", @@ -1972,7 +1972,7 @@ " 1.809821\n", " \n", " \n", - " 2023-10-26 11:50:37.778882\n", + " 2023-11-12 14:53:12.882030\n", " 2003-01-20 06:00:00\n", " Crew Transfer Vessel 7\n", " traveling\n", @@ -1984,7 +1984,7 @@ " 1.809892\n", " \n", " \n", - " 2023-10-26 11:50:37.779019\n", + " 2023-11-12 14:53:12.882180\n", " 2003-01-20 07:48:34\n", " Crew Transfer Vessel 5\n", " complete travel\n", @@ -1996,7 +1996,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.779088\n", + " 2023-11-12 14:53:12.882260\n", " 2003-01-20 07:48:34\n", " Crew Transfer Vessel 5\n", " transferring crew\n", @@ -2008,7 +2008,7 @@ " 0.25\n", " \n", " \n", - " 2023-10-26 11:50:37.779098\n", + " 2023-11-12 14:53:12.882267\n", " 2003-01-20 07:48:35\n", " Crew Transfer Vessel 3\n", " complete travel\n", @@ -2020,7 +2020,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.779161\n", + " 2023-11-12 14:53:12.882333\n", " 2003-01-20 07:48:35\n", " Crew Transfer Vessel 3\n", " transferring crew\n", @@ -2032,7 +2032,7 @@ " 0.25\n", " \n", " \n", - " 2023-10-26 11:50:37.779167\n", + " 2023-11-12 14:53:12.882339\n", " 2003-01-20 07:48:35\n", " Crew Transfer Vessel 6\n", " complete travel\n", @@ -2044,7 +2044,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.779228\n", + " 2023-11-12 14:53:12.882404\n", " 2003-01-20 07:48:35\n", " Crew Transfer Vessel 6\n", " transferring crew\n", @@ -2056,7 +2056,7 @@ " 0.25\n", " \n", " \n", - " 2023-10-26 11:50:37.779234\n", + " 2023-11-12 14:53:12.882410\n", " 2003-01-20 07:48:35\n", " Crew Transfer Vessel 1\n", " complete travel\n", @@ -2068,7 +2068,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.779293\n", + " 2023-11-12 14:53:12.882473\n", " 2003-01-20 07:48:35\n", " Crew Transfer Vessel 1\n", " transferring crew\n", @@ -2080,7 +2080,7 @@ " 0.25\n", " \n", " \n", - " 2023-10-26 11:50:37.779299\n", + " 2023-11-12 14:53:12.882485\n", " 2003-01-20 07:48:35\n", " Crew Transfer Vessel 4\n", " complete travel\n", @@ -2092,7 +2092,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.779359\n", + " 2023-11-12 14:53:12.882547\n", " 2003-01-20 07:48:35\n", " Crew Transfer Vessel 4\n", " transferring crew\n", @@ -2104,7 +2104,7 @@ " 0.25\n", " \n", " \n", - " 2023-10-26 11:50:37.779365\n", + " 2023-11-12 14:53:12.882552\n", " 2003-01-20 07:48:35\n", " Crew Transfer Vessel 2\n", " complete travel\n", @@ -2116,7 +2116,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.779423\n", + " 2023-11-12 14:53:12.882613\n", " 2003-01-20 07:48:35\n", " Crew Transfer Vessel 2\n", " transferring crew\n", @@ -2128,7 +2128,7 @@ " 0.25\n", " \n", " \n", - " 2023-10-26 11:50:37.779429\n", + " 2023-11-12 14:53:12.882619\n", " 2003-01-20 07:48:36\n", " Crew Transfer Vessel 7\n", " complete travel\n", @@ -2140,7 +2140,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.779491\n", + " 2023-11-12 14:53:12.882679\n", " 2003-01-20 07:48:36\n", " Crew Transfer Vessel 7\n", " transferring crew\n", @@ -2152,7 +2152,7 @@ " 0.25\n", " \n", " \n", - " 2023-10-26 11:50:37.779560\n", + " 2023-11-12 14:53:12.882753\n", " 2003-01-20 08:03:34\n", " Crew Transfer Vessel 5\n", " complete transfer\n", @@ -2164,7 +2164,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.779648\n", + " 2023-11-12 14:53:12.882882\n", " 2003-01-20 08:03:34\n", " Crew Transfer Vessel 5\n", " repair\n", @@ -2176,7 +2176,7 @@ " 0.410556\n", " \n", " \n", - " 2023-10-26 11:50:37.779654\n", + " 2023-11-12 14:53:12.882892\n", " 2003-01-20 08:03:35\n", " Crew Transfer Vessel 3\n", " complete transfer\n", @@ -2188,7 +2188,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.779916\n", + " 2023-11-12 14:53:12.883089\n", " 2003-01-20 08:03:35\n", " Crew Transfer Vessel 3\n", " repair\n", @@ -2200,7 +2200,7 @@ " 6.12\n", " \n", " \n", - " 2023-10-26 11:50:37.779922\n", + " 2023-11-12 14:53:12.883098\n", " 2003-01-20 08:03:35\n", " Crew Transfer Vessel 6\n", " complete transfer\n", @@ -2212,7 +2212,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.780101\n", + " 2023-11-12 14:53:12.883227\n", " 2003-01-20 08:03:35\n", " Crew Transfer Vessel 6\n", " repair\n", @@ -2224,7 +2224,7 @@ " 9.881944\n", " \n", " \n", - " 2023-10-26 11:50:37.780109\n", + " 2023-11-12 14:53:12.883233\n", " 2003-01-20 08:03:35\n", " Crew Transfer Vessel 1\n", " complete transfer\n", @@ -2236,7 +2236,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.780229\n", + " 2023-11-12 14:53:12.883377\n", " 2003-01-20 08:03:35\n", " Crew Transfer Vessel 1\n", " repair\n", @@ -2248,7 +2248,7 @@ " 10.898333\n", " \n", " \n", - " 2023-10-26 11:50:37.780235\n", + " 2023-11-12 14:53:12.883386\n", " 2003-01-20 08:03:35\n", " Crew Transfer Vessel 4\n", " complete transfer\n", @@ -2260,7 +2260,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.780340\n", + " 2023-11-12 14:53:12.883583\n", " 2003-01-20 08:03:35\n", " Crew Transfer Vessel 4\n", " repair\n", @@ -2272,7 +2272,7 @@ " 6.12\n", " \n", " \n", - " 2023-10-26 11:50:37.780346\n", + " 2023-11-12 14:53:12.883593\n", " 2003-01-20 08:03:35\n", " Crew Transfer Vessel 2\n", " complete transfer\n", @@ -2284,7 +2284,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.780449\n", + " 2023-11-12 14:53:12.883779\n", " 2003-01-20 08:03:35\n", " Crew Transfer Vessel 2\n", " repair\n", @@ -2296,7 +2296,7 @@ " 1.603333\n", " \n", " \n", - " 2023-10-26 11:50:37.780455\n", + " 2023-11-12 14:53:12.883786\n", " 2003-01-20 08:03:36\n", " Crew Transfer Vessel 7\n", " complete transfer\n", @@ -2308,7 +2308,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.780559\n", + " 2023-11-12 14:53:12.883941\n", " 2003-01-20 08:03:36\n", " Crew Transfer Vessel 7\n", " repair\n", @@ -2320,7 +2320,7 @@ " 2.5475\n", " \n", " \n", - " 2023-10-26 11:50:37.780631\n", + " 2023-11-12 14:53:12.884061\n", " 2003-01-20 08:28:12\n", " Crew Transfer Vessel 5\n", " transferring crew\n", @@ -2332,7 +2332,7 @@ " 0.25\n", " \n", " \n", - " 2023-10-26 11:50:37.780637\n", + " 2023-11-12 14:53:12.884069\n", " 2003-01-20 08:43:12\n", " Crew Transfer Vessel 5\n", " complete transfer\n", @@ -2344,7 +2344,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.780780\n", + " 2023-11-12 14:53:12.884285\n", " 2003-01-20 08:43:12\n", " Crew Transfer Vessel 5\n", " repair complete\n", @@ -2356,7 +2356,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.781404\n", + " 2023-11-12 14:53:12.885023\n", " 2003-01-20 08:43:14\n", " Crew Transfer Vessel 5\n", " traveling\n", @@ -2368,7 +2368,7 @@ " 0.184454\n", " \n", " \n", - " 2023-10-26 11:50:37.781412\n", + " 2023-11-12 14:53:12.885032\n", " 2003-01-20 08:54:19\n", " Crew Transfer Vessel 5\n", " complete travel\n", @@ -2380,7 +2380,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.781673\n", + " 2023-11-12 14:53:12.885334\n", " 2003-01-20 08:54:19\n", " Crew Transfer Vessel 5\n", " transferring crew\n", @@ -2392,7 +2392,7 @@ " 0.25\n", " \n", " \n", - " 2023-10-26 11:50:37.781746\n", + " 2023-11-12 14:53:12.885446\n", " 2003-01-20 09:09:19\n", " Crew Transfer Vessel 5\n", " complete transfer\n", @@ -2404,7 +2404,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.781847\n", + " 2023-11-12 14:53:12.885592\n", " 2003-01-20 09:09:19\n", " Crew Transfer Vessel 5\n", " repair\n", @@ -2416,7 +2416,7 @@ " 12.594722\n", " \n", " \n", - " 2023-10-26 11:50:37.781919\n", + " 2023-11-12 14:53:12.885699\n", " 2003-01-20 09:39:47\n", " Crew Transfer Vessel 2\n", " transferring crew\n", @@ -2428,7 +2428,7 @@ " 0.25\n", " \n", " \n", - " 2023-10-26 11:50:37.781924\n", + " 2023-11-12 14:53:12.885706\n", " 2003-01-20 09:54:47\n", " Crew Transfer Vessel 2\n", " complete transfer\n", @@ -2440,7 +2440,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.781976\n", + " 2023-11-12 14:53:12.885767\n", " 2003-01-20 09:54:47\n", " Crew Transfer Vessel 2\n", " repair complete\n", @@ -2452,7 +2452,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.782602\n", + " 2023-11-12 14:53:12.886489\n", " 2003-01-20 09:54:56\n", " Crew Transfer Vessel 2\n", " traveling\n", @@ -2464,7 +2464,7 @@ " 0.212317\n", " \n", " \n", - " 2023-10-26 11:50:37.782679\n", + " 2023-11-12 14:53:12.886659\n", " 2003-01-20 10:07:41\n", " Crew Transfer Vessel 2\n", " complete travel\n", @@ -2476,7 +2476,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.782775\n", + " 2023-11-12 14:53:12.886778\n", " 2003-01-20 10:07:41\n", " Crew Transfer Vessel 2\n", " transferring crew\n", @@ -2488,7 +2488,7 @@ " 0.25\n", " \n", " \n", - " 2023-10-26 11:50:37.782781\n", + " 2023-11-12 14:53:12.886784\n", " 2003-01-20 10:22:41\n", " Crew Transfer Vessel 2\n", " complete transfer\n", @@ -2506,321 +2506,321 @@ "text/plain": [ " env_datetime agent \\\n", "datetime \n", - "2023-10-26 11:50:37.778064 2003-01-20 06:00:00 Crew Transfer Vessel 5 \n", - "2023-10-26 11:50:37.778203 2003-01-20 06:00:00 Crew Transfer Vessel 3 \n", - "2023-10-26 11:50:37.778341 2003-01-20 06:00:00 Crew Transfer Vessel 6 \n", - "2023-10-26 11:50:37.778477 2003-01-20 06:00:00 Crew Transfer Vessel 1 \n", - "2023-10-26 11:50:37.778614 2003-01-20 06:00:00 Crew Transfer Vessel 4 \n", - "2023-10-26 11:50:37.778749 2003-01-20 06:00:00 Crew Transfer Vessel 2 \n", - "2023-10-26 11:50:37.778882 2003-01-20 06:00:00 Crew Transfer Vessel 7 \n", - "2023-10-26 11:50:37.779019 2003-01-20 07:48:34 Crew Transfer Vessel 5 \n", - "2023-10-26 11:50:37.779088 2003-01-20 07:48:34 Crew Transfer Vessel 5 \n", - "2023-10-26 11:50:37.779098 2003-01-20 07:48:35 Crew Transfer Vessel 3 \n", - "2023-10-26 11:50:37.779161 2003-01-20 07:48:35 Crew Transfer Vessel 3 \n", - "2023-10-26 11:50:37.779167 2003-01-20 07:48:35 Crew Transfer Vessel 6 \n", - "2023-10-26 11:50:37.779228 2003-01-20 07:48:35 Crew Transfer Vessel 6 \n", - "2023-10-26 11:50:37.779234 2003-01-20 07:48:35 Crew Transfer Vessel 1 \n", - "2023-10-26 11:50:37.779293 2003-01-20 07:48:35 Crew Transfer Vessel 1 \n", - "2023-10-26 11:50:37.779299 2003-01-20 07:48:35 Crew Transfer Vessel 4 \n", - "2023-10-26 11:50:37.779359 2003-01-20 07:48:35 Crew Transfer Vessel 4 \n", - "2023-10-26 11:50:37.779365 2003-01-20 07:48:35 Crew Transfer Vessel 2 \n", - "2023-10-26 11:50:37.779423 2003-01-20 07:48:35 Crew Transfer Vessel 2 \n", - "2023-10-26 11:50:37.779429 2003-01-20 07:48:36 Crew Transfer Vessel 7 \n", - "2023-10-26 11:50:37.779491 2003-01-20 07:48:36 Crew Transfer Vessel 7 \n", - "2023-10-26 11:50:37.779560 2003-01-20 08:03:34 Crew Transfer Vessel 5 \n", - "2023-10-26 11:50:37.779648 2003-01-20 08:03:34 Crew Transfer Vessel 5 \n", - "2023-10-26 11:50:37.779654 2003-01-20 08:03:35 Crew Transfer Vessel 3 \n", - "2023-10-26 11:50:37.779916 2003-01-20 08:03:35 Crew Transfer Vessel 3 \n", - "2023-10-26 11:50:37.779922 2003-01-20 08:03:35 Crew Transfer Vessel 6 \n", - "2023-10-26 11:50:37.780101 2003-01-20 08:03:35 Crew Transfer Vessel 6 \n", - "2023-10-26 11:50:37.780109 2003-01-20 08:03:35 Crew Transfer Vessel 1 \n", - "2023-10-26 11:50:37.780229 2003-01-20 08:03:35 Crew Transfer Vessel 1 \n", - "2023-10-26 11:50:37.780235 2003-01-20 08:03:35 Crew Transfer Vessel 4 \n", - "2023-10-26 11:50:37.780340 2003-01-20 08:03:35 Crew Transfer Vessel 4 \n", - "2023-10-26 11:50:37.780346 2003-01-20 08:03:35 Crew Transfer Vessel 2 \n", - "2023-10-26 11:50:37.780449 2003-01-20 08:03:35 Crew Transfer Vessel 2 \n", - "2023-10-26 11:50:37.780455 2003-01-20 08:03:36 Crew Transfer Vessel 7 \n", - "2023-10-26 11:50:37.780559 2003-01-20 08:03:36 Crew Transfer Vessel 7 \n", - "2023-10-26 11:50:37.780631 2003-01-20 08:28:12 Crew Transfer Vessel 5 \n", - "2023-10-26 11:50:37.780637 2003-01-20 08:43:12 Crew Transfer Vessel 5 \n", - "2023-10-26 11:50:37.780780 2003-01-20 08:43:12 Crew Transfer Vessel 5 \n", - "2023-10-26 11:50:37.781404 2003-01-20 08:43:14 Crew Transfer Vessel 5 \n", - "2023-10-26 11:50:37.781412 2003-01-20 08:54:19 Crew Transfer Vessel 5 \n", - "2023-10-26 11:50:37.781673 2003-01-20 08:54:19 Crew Transfer Vessel 5 \n", - "2023-10-26 11:50:37.781746 2003-01-20 09:09:19 Crew Transfer Vessel 5 \n", - "2023-10-26 11:50:37.781847 2003-01-20 09:09:19 Crew Transfer Vessel 5 \n", - "2023-10-26 11:50:37.781919 2003-01-20 09:39:47 Crew Transfer Vessel 2 \n", - "2023-10-26 11:50:37.781924 2003-01-20 09:54:47 Crew Transfer Vessel 2 \n", - "2023-10-26 11:50:37.781976 2003-01-20 09:54:47 Crew Transfer Vessel 2 \n", - "2023-10-26 11:50:37.782602 2003-01-20 09:54:56 Crew Transfer Vessel 2 \n", - "2023-10-26 11:50:37.782679 2003-01-20 10:07:41 Crew Transfer Vessel 2 \n", - "2023-10-26 11:50:37.782775 2003-01-20 10:07:41 Crew Transfer Vessel 2 \n", - "2023-10-26 11:50:37.782781 2003-01-20 10:22:41 Crew Transfer Vessel 2 \n", + "2023-11-12 14:53:12.881159 2003-01-20 06:00:00 Crew Transfer Vessel 5 \n", + "2023-11-12 14:53:12.881315 2003-01-20 06:00:00 Crew Transfer Vessel 3 \n", + "2023-11-12 14:53:12.881462 2003-01-20 06:00:00 Crew Transfer Vessel 6 \n", + "2023-11-12 14:53:12.881608 2003-01-20 06:00:00 Crew Transfer Vessel 1 \n", + "2023-11-12 14:53:12.881748 2003-01-20 06:00:00 Crew Transfer Vessel 4 \n", + "2023-11-12 14:53:12.881890 2003-01-20 06:00:00 Crew Transfer Vessel 2 \n", + "2023-11-12 14:53:12.882030 2003-01-20 06:00:00 Crew Transfer Vessel 7 \n", + "2023-11-12 14:53:12.882180 2003-01-20 07:48:34 Crew Transfer Vessel 5 \n", + "2023-11-12 14:53:12.882260 2003-01-20 07:48:34 Crew Transfer Vessel 5 \n", + "2023-11-12 14:53:12.882267 2003-01-20 07:48:35 Crew Transfer Vessel 3 \n", + "2023-11-12 14:53:12.882333 2003-01-20 07:48:35 Crew Transfer Vessel 3 \n", + "2023-11-12 14:53:12.882339 2003-01-20 07:48:35 Crew Transfer Vessel 6 \n", + "2023-11-12 14:53:12.882404 2003-01-20 07:48:35 Crew Transfer Vessel 6 \n", + "2023-11-12 14:53:12.882410 2003-01-20 07:48:35 Crew Transfer Vessel 1 \n", + "2023-11-12 14:53:12.882473 2003-01-20 07:48:35 Crew Transfer Vessel 1 \n", + "2023-11-12 14:53:12.882485 2003-01-20 07:48:35 Crew Transfer Vessel 4 \n", + "2023-11-12 14:53:12.882547 2003-01-20 07:48:35 Crew Transfer Vessel 4 \n", + "2023-11-12 14:53:12.882552 2003-01-20 07:48:35 Crew Transfer Vessel 2 \n", + "2023-11-12 14:53:12.882613 2003-01-20 07:48:35 Crew Transfer Vessel 2 \n", + "2023-11-12 14:53:12.882619 2003-01-20 07:48:36 Crew Transfer Vessel 7 \n", + "2023-11-12 14:53:12.882679 2003-01-20 07:48:36 Crew Transfer Vessel 7 \n", + "2023-11-12 14:53:12.882753 2003-01-20 08:03:34 Crew Transfer Vessel 5 \n", + "2023-11-12 14:53:12.882882 2003-01-20 08:03:34 Crew Transfer Vessel 5 \n", + "2023-11-12 14:53:12.882892 2003-01-20 08:03:35 Crew Transfer Vessel 3 \n", + "2023-11-12 14:53:12.883089 2003-01-20 08:03:35 Crew Transfer Vessel 3 \n", + "2023-11-12 14:53:12.883098 2003-01-20 08:03:35 Crew Transfer Vessel 6 \n", + "2023-11-12 14:53:12.883227 2003-01-20 08:03:35 Crew Transfer Vessel 6 \n", + "2023-11-12 14:53:12.883233 2003-01-20 08:03:35 Crew Transfer Vessel 1 \n", + "2023-11-12 14:53:12.883377 2003-01-20 08:03:35 Crew Transfer Vessel 1 \n", + "2023-11-12 14:53:12.883386 2003-01-20 08:03:35 Crew Transfer Vessel 4 \n", + "2023-11-12 14:53:12.883583 2003-01-20 08:03:35 Crew Transfer Vessel 4 \n", + "2023-11-12 14:53:12.883593 2003-01-20 08:03:35 Crew Transfer Vessel 2 \n", + "2023-11-12 14:53:12.883779 2003-01-20 08:03:35 Crew Transfer Vessel 2 \n", + "2023-11-12 14:53:12.883786 2003-01-20 08:03:36 Crew Transfer Vessel 7 \n", + "2023-11-12 14:53:12.883941 2003-01-20 08:03:36 Crew Transfer Vessel 7 \n", + "2023-11-12 14:53:12.884061 2003-01-20 08:28:12 Crew Transfer Vessel 5 \n", + "2023-11-12 14:53:12.884069 2003-01-20 08:43:12 Crew Transfer Vessel 5 \n", + "2023-11-12 14:53:12.884285 2003-01-20 08:43:12 Crew Transfer Vessel 5 \n", + "2023-11-12 14:53:12.885023 2003-01-20 08:43:14 Crew Transfer Vessel 5 \n", + "2023-11-12 14:53:12.885032 2003-01-20 08:54:19 Crew Transfer Vessel 5 \n", + "2023-11-12 14:53:12.885334 2003-01-20 08:54:19 Crew Transfer Vessel 5 \n", + "2023-11-12 14:53:12.885446 2003-01-20 09:09:19 Crew Transfer Vessel 5 \n", + "2023-11-12 14:53:12.885592 2003-01-20 09:09:19 Crew Transfer Vessel 5 \n", + "2023-11-12 14:53:12.885699 2003-01-20 09:39:47 Crew Transfer Vessel 2 \n", + "2023-11-12 14:53:12.885706 2003-01-20 09:54:47 Crew Transfer Vessel 2 \n", + "2023-11-12 14:53:12.885767 2003-01-20 09:54:47 Crew Transfer Vessel 2 \n", + "2023-11-12 14:53:12.886489 2003-01-20 09:54:56 Crew Transfer Vessel 2 \n", + "2023-11-12 14:53:12.886659 2003-01-20 10:07:41 Crew Transfer Vessel 2 \n", + "2023-11-12 14:53:12.886778 2003-01-20 10:07:41 Crew Transfer Vessel 2 \n", + "2023-11-12 14:53:12.886784 2003-01-20 10:22:41 Crew Transfer Vessel 2 \n", "\n", " action \\\n", "datetime \n", - "2023-10-26 11:50:37.778064 traveling \n", - "2023-10-26 11:50:37.778203 traveling \n", - "2023-10-26 11:50:37.778341 traveling \n", - "2023-10-26 11:50:37.778477 traveling \n", - "2023-10-26 11:50:37.778614 traveling \n", - "2023-10-26 11:50:37.778749 traveling \n", - "2023-10-26 11:50:37.778882 traveling \n", - "2023-10-26 11:50:37.779019 complete travel \n", - "2023-10-26 11:50:37.779088 transferring crew \n", - "2023-10-26 11:50:37.779098 complete travel \n", - "2023-10-26 11:50:37.779161 transferring crew \n", - "2023-10-26 11:50:37.779167 complete travel \n", - "2023-10-26 11:50:37.779228 transferring crew \n", - "2023-10-26 11:50:37.779234 complete travel \n", - "2023-10-26 11:50:37.779293 transferring crew \n", - "2023-10-26 11:50:37.779299 complete travel \n", - "2023-10-26 11:50:37.779359 transferring crew \n", - "2023-10-26 11:50:37.779365 complete travel \n", - "2023-10-26 11:50:37.779423 transferring crew \n", - "2023-10-26 11:50:37.779429 complete travel \n", - "2023-10-26 11:50:37.779491 transferring crew \n", - "2023-10-26 11:50:37.779560 complete transfer \n", - "2023-10-26 11:50:37.779648 repair \n", - "2023-10-26 11:50:37.779654 complete transfer \n", - "2023-10-26 11:50:37.779916 repair \n", - "2023-10-26 11:50:37.779922 complete transfer \n", - "2023-10-26 11:50:37.780101 repair \n", - "2023-10-26 11:50:37.780109 complete transfer \n", - "2023-10-26 11:50:37.780229 repair \n", - "2023-10-26 11:50:37.780235 complete transfer \n", - "2023-10-26 11:50:37.780340 repair \n", - "2023-10-26 11:50:37.780346 complete transfer \n", - "2023-10-26 11:50:37.780449 repair \n", - "2023-10-26 11:50:37.780455 complete transfer \n", - "2023-10-26 11:50:37.780559 repair \n", - "2023-10-26 11:50:37.780631 transferring crew \n", - "2023-10-26 11:50:37.780637 complete transfer \n", - "2023-10-26 11:50:37.780780 repair complete \n", - "2023-10-26 11:50:37.781404 traveling \n", - "2023-10-26 11:50:37.781412 complete travel \n", - "2023-10-26 11:50:37.781673 transferring crew \n", - "2023-10-26 11:50:37.781746 complete transfer \n", - "2023-10-26 11:50:37.781847 repair \n", - "2023-10-26 11:50:37.781919 transferring crew \n", - "2023-10-26 11:50:37.781924 complete transfer \n", - "2023-10-26 11:50:37.781976 repair complete \n", - "2023-10-26 11:50:37.782602 traveling \n", - "2023-10-26 11:50:37.782679 complete travel \n", - "2023-10-26 11:50:37.782775 transferring crew \n", - "2023-10-26 11:50:37.782781 complete transfer \n", + "2023-11-12 14:53:12.881159 traveling \n", + "2023-11-12 14:53:12.881315 traveling \n", + "2023-11-12 14:53:12.881462 traveling \n", + "2023-11-12 14:53:12.881608 traveling \n", + "2023-11-12 14:53:12.881748 traveling \n", + "2023-11-12 14:53:12.881890 traveling \n", + "2023-11-12 14:53:12.882030 traveling \n", + "2023-11-12 14:53:12.882180 complete travel \n", + "2023-11-12 14:53:12.882260 transferring crew \n", + "2023-11-12 14:53:12.882267 complete travel \n", + "2023-11-12 14:53:12.882333 transferring crew \n", + "2023-11-12 14:53:12.882339 complete travel \n", + "2023-11-12 14:53:12.882404 transferring crew \n", + "2023-11-12 14:53:12.882410 complete travel \n", + "2023-11-12 14:53:12.882473 transferring crew \n", + "2023-11-12 14:53:12.882485 complete travel \n", + "2023-11-12 14:53:12.882547 transferring crew \n", + "2023-11-12 14:53:12.882552 complete travel \n", + "2023-11-12 14:53:12.882613 transferring crew \n", + "2023-11-12 14:53:12.882619 complete travel \n", + "2023-11-12 14:53:12.882679 transferring crew \n", + "2023-11-12 14:53:12.882753 complete transfer \n", + "2023-11-12 14:53:12.882882 repair \n", + "2023-11-12 14:53:12.882892 complete transfer \n", + "2023-11-12 14:53:12.883089 repair \n", + "2023-11-12 14:53:12.883098 complete transfer \n", + "2023-11-12 14:53:12.883227 repair \n", + "2023-11-12 14:53:12.883233 complete transfer \n", + "2023-11-12 14:53:12.883377 repair \n", + "2023-11-12 14:53:12.883386 complete transfer \n", + "2023-11-12 14:53:12.883583 repair \n", + "2023-11-12 14:53:12.883593 complete transfer \n", + "2023-11-12 14:53:12.883779 repair \n", + "2023-11-12 14:53:12.883786 complete transfer \n", + "2023-11-12 14:53:12.883941 repair \n", + "2023-11-12 14:53:12.884061 transferring crew \n", + "2023-11-12 14:53:12.884069 complete transfer \n", + "2023-11-12 14:53:12.884285 repair complete \n", + "2023-11-12 14:53:12.885023 traveling \n", + "2023-11-12 14:53:12.885032 complete travel \n", + "2023-11-12 14:53:12.885334 transferring crew \n", + "2023-11-12 14:53:12.885446 complete transfer \n", + "2023-11-12 14:53:12.885592 repair \n", + "2023-11-12 14:53:12.885699 transferring crew \n", + "2023-11-12 14:53:12.885706 complete transfer \n", + "2023-11-12 14:53:12.885767 repair complete \n", + "2023-11-12 14:53:12.886489 traveling \n", + "2023-11-12 14:53:12.886659 complete travel \n", + "2023-11-12 14:53:12.886778 transferring crew \n", + "2023-11-12 14:53:12.886784 complete transfer \n", "\n", " reason \\\n", "datetime \n", - "2023-10-26 11:50:37.778064 blades minor repair \n", - "2023-10-26 11:50:37.778203 major pitch system repair \n", - "2023-10-26 11:50:37.778341 minor pitch system repair \n", - "2023-10-26 11:50:37.778477 minor pitch system repair \n", - "2023-10-26 11:50:37.778614 major pitch system repair \n", - "2023-10-26 11:50:37.778749 direct drive generator minor repair \n", - "2023-10-26 11:50:37.778882 blades minor repair \n", - "2023-10-26 11:50:37.779019 blades minor repair \n", - "2023-10-26 11:50:37.779088 blades minor repair \n", - "2023-10-26 11:50:37.779098 major pitch system repair \n", - "2023-10-26 11:50:37.779161 major pitch system repair \n", - "2023-10-26 11:50:37.779167 minor pitch system repair \n", - "2023-10-26 11:50:37.779228 minor pitch system repair \n", - "2023-10-26 11:50:37.779234 minor pitch system repair \n", - "2023-10-26 11:50:37.779293 minor pitch system repair \n", - "2023-10-26 11:50:37.779299 major pitch system repair \n", - "2023-10-26 11:50:37.779359 major pitch system repair \n", - "2023-10-26 11:50:37.779365 direct drive generator minor repair \n", - "2023-10-26 11:50:37.779423 direct drive generator minor repair \n", - "2023-10-26 11:50:37.779429 blades minor repair \n", - "2023-10-26 11:50:37.779491 blades minor repair \n", - "2023-10-26 11:50:37.779560 blades minor repair \n", - "2023-10-26 11:50:37.779648 blades minor repair \n", - "2023-10-26 11:50:37.779654 major pitch system repair \n", - "2023-10-26 11:50:37.779916 major pitch system repair \n", - "2023-10-26 11:50:37.779922 minor pitch system repair \n", - "2023-10-26 11:50:37.780101 minor pitch system repair \n", - "2023-10-26 11:50:37.780109 minor pitch system repair \n", - "2023-10-26 11:50:37.780229 minor pitch system repair \n", - "2023-10-26 11:50:37.780235 major pitch system repair \n", - "2023-10-26 11:50:37.780340 major pitch system repair \n", - "2023-10-26 11:50:37.780346 direct drive generator minor repair \n", - "2023-10-26 11:50:37.780449 direct drive generator minor repair \n", - "2023-10-26 11:50:37.780455 blades minor repair \n", - "2023-10-26 11:50:37.780559 blades minor repair \n", - "2023-10-26 11:50:37.780631 blades minor repair \n", - "2023-10-26 11:50:37.780637 blades minor repair \n", - "2023-10-26 11:50:37.780780 blades minor repair \n", - "2023-10-26 11:50:37.781404 power converter minor repair \n", - "2023-10-26 11:50:37.781412 power converter minor repair \n", - "2023-10-26 11:50:37.781673 power converter minor repair \n", - "2023-10-26 11:50:37.781746 power converter minor repair \n", - "2023-10-26 11:50:37.781847 power converter minor repair \n", - "2023-10-26 11:50:37.781919 direct drive generator minor repair \n", - "2023-10-26 11:50:37.781924 direct drive generator minor repair \n", - "2023-10-26 11:50:37.781976 direct drive generator minor repair \n", - "2023-10-26 11:50:37.782602 oss annual inspection \n", - "2023-10-26 11:50:37.782679 oss annual inspection \n", - "2023-10-26 11:50:37.782775 oss annual inspection \n", - "2023-10-26 11:50:37.782781 oss annual inspection \n", + "2023-11-12 14:53:12.881159 blades minor repair \n", + "2023-11-12 14:53:12.881315 major pitch system repair \n", + "2023-11-12 14:53:12.881462 minor pitch system repair \n", + "2023-11-12 14:53:12.881608 minor pitch system repair \n", + "2023-11-12 14:53:12.881748 major pitch system repair \n", + "2023-11-12 14:53:12.881890 direct drive generator minor repair \n", + "2023-11-12 14:53:12.882030 blades minor repair \n", + "2023-11-12 14:53:12.882180 blades minor repair \n", + "2023-11-12 14:53:12.882260 blades minor repair \n", + "2023-11-12 14:53:12.882267 major pitch system repair \n", + "2023-11-12 14:53:12.882333 major pitch system repair \n", + "2023-11-12 14:53:12.882339 minor pitch system repair \n", + "2023-11-12 14:53:12.882404 minor pitch system repair \n", + "2023-11-12 14:53:12.882410 minor pitch system repair \n", + "2023-11-12 14:53:12.882473 minor pitch system repair \n", + "2023-11-12 14:53:12.882485 major pitch system repair \n", + "2023-11-12 14:53:12.882547 major pitch system repair \n", + "2023-11-12 14:53:12.882552 direct drive generator minor repair \n", + "2023-11-12 14:53:12.882613 direct drive generator minor repair \n", + "2023-11-12 14:53:12.882619 blades minor repair \n", + "2023-11-12 14:53:12.882679 blades minor repair \n", + "2023-11-12 14:53:12.882753 blades minor repair \n", + "2023-11-12 14:53:12.882882 blades minor repair \n", + "2023-11-12 14:53:12.882892 major pitch system repair \n", + "2023-11-12 14:53:12.883089 major pitch system repair \n", + "2023-11-12 14:53:12.883098 minor pitch system repair \n", + "2023-11-12 14:53:12.883227 minor pitch system repair \n", + "2023-11-12 14:53:12.883233 minor pitch system repair \n", + "2023-11-12 14:53:12.883377 minor pitch system repair \n", + "2023-11-12 14:53:12.883386 major pitch system repair \n", + "2023-11-12 14:53:12.883583 major pitch system repair \n", + "2023-11-12 14:53:12.883593 direct drive generator minor repair \n", + "2023-11-12 14:53:12.883779 direct drive generator minor repair \n", + "2023-11-12 14:53:12.883786 blades minor repair \n", + "2023-11-12 14:53:12.883941 blades minor repair \n", + "2023-11-12 14:53:12.884061 blades minor repair \n", + "2023-11-12 14:53:12.884069 blades minor repair \n", + "2023-11-12 14:53:12.884285 blades minor repair \n", + "2023-11-12 14:53:12.885023 power converter minor repair \n", + "2023-11-12 14:53:12.885032 power converter minor repair \n", + "2023-11-12 14:53:12.885334 power converter minor repair \n", + "2023-11-12 14:53:12.885446 power converter minor repair \n", + "2023-11-12 14:53:12.885592 power converter minor repair \n", + "2023-11-12 14:53:12.885699 direct drive generator minor repair \n", + "2023-11-12 14:53:12.885706 direct drive generator minor repair \n", + "2023-11-12 14:53:12.885767 direct drive generator minor repair \n", + "2023-11-12 14:53:12.886489 oss annual inspection \n", + "2023-11-12 14:53:12.886659 oss annual inspection \n", + "2023-11-12 14:53:12.886778 oss annual inspection \n", + "2023-11-12 14:53:12.886784 oss annual inspection \n", "\n", " additional \\\n", "datetime \n", - "2023-10-26 11:50:37.778064 traveling from port to site \n", - "2023-10-26 11:50:37.778203 traveling from port to site \n", - "2023-10-26 11:50:37.778341 traveling from port to site \n", - "2023-10-26 11:50:37.778477 traveling from port to site \n", - "2023-10-26 11:50:37.778614 traveling from port to site \n", - "2023-10-26 11:50:37.778749 traveling from port to site \n", - "2023-10-26 11:50:37.778882 traveling from port to site \n", - "2023-10-26 11:50:37.779019 arrived at WTG_0403 \n", - "2023-10-26 11:50:37.779088 transferring crew from Crew Transfer Vessel 5 ... \n", - "2023-10-26 11:50:37.779098 arrived at WTG_0505 \n", - "2023-10-26 11:50:37.779161 transferring crew from Crew Transfer Vessel 3 ... \n", - "2023-10-26 11:50:37.779167 arrived at WTG_0407 \n", - "2023-10-26 11:50:37.779228 transferring crew from Crew Transfer Vessel 6 ... \n", - "2023-10-26 11:50:37.779234 arrived at WTG_0004 \n", - "2023-10-26 11:50:37.779293 transferring crew from Crew Transfer Vessel 1 ... \n", - "2023-10-26 11:50:37.779299 arrived at WTG_0409 \n", - "2023-10-26 11:50:37.779359 transferring crew from Crew Transfer Vessel 4 ... \n", - "2023-10-26 11:50:37.779365 arrived at WTG_0500 \n", - "2023-10-26 11:50:37.779423 transferring crew from Crew Transfer Vessel 2 ... \n", - "2023-10-26 11:50:37.779429 arrived at WTG_0507 \n", - "2023-10-26 11:50:37.779491 transferring crew from Crew Transfer Vessel 7 ... \n", - "2023-10-26 11:50:37.779560 complete \n", - "2023-10-26 11:50:37.779648 repair \n", - "2023-10-26 11:50:37.779654 complete \n", - "2023-10-26 11:50:37.779916 repair \n", - "2023-10-26 11:50:37.779922 complete \n", - "2023-10-26 11:50:37.780101 repair \n", - "2023-10-26 11:50:37.780109 complete \n", - "2023-10-26 11:50:37.780229 repair \n", - "2023-10-26 11:50:37.780235 complete \n", - "2023-10-26 11:50:37.780340 repair \n", - "2023-10-26 11:50:37.780346 complete \n", - "2023-10-26 11:50:37.780449 repair \n", - "2023-10-26 11:50:37.780455 complete \n", - "2023-10-26 11:50:37.780559 repair \n", - "2023-10-26 11:50:37.780631 transferring crew from WTG_0403 to Crew Transf... \n", - "2023-10-26 11:50:37.780637 complete \n", - "2023-10-26 11:50:37.780780 complete \n", - "2023-10-26 11:50:37.781404 traveling from WTG_0403 to WTG_0704 \n", - "2023-10-26 11:50:37.781412 arrived at WTG_0704 \n", - "2023-10-26 11:50:37.781673 transferring crew from Crew Transfer Vessel 5 ... \n", - "2023-10-26 11:50:37.781746 complete \n", - "2023-10-26 11:50:37.781847 repair \n", - "2023-10-26 11:50:37.781919 transferring crew from WTG_0500 to Crew Transf... \n", - "2023-10-26 11:50:37.781924 complete \n", - "2023-10-26 11:50:37.781976 complete \n", - "2023-10-26 11:50:37.782602 traveling from WTG_0500 to SS1 \n", - "2023-10-26 11:50:37.782679 arrived at SS1 \n", - "2023-10-26 11:50:37.782775 transferring crew from Crew Transfer Vessel 2 ... \n", - "2023-10-26 11:50:37.782781 complete \n", + "2023-11-12 14:53:12.881159 traveling from port to site \n", + "2023-11-12 14:53:12.881315 traveling from port to site \n", + "2023-11-12 14:53:12.881462 traveling from port to site \n", + "2023-11-12 14:53:12.881608 traveling from port to site \n", + "2023-11-12 14:53:12.881748 traveling from port to site \n", + "2023-11-12 14:53:12.881890 traveling from port to site \n", + "2023-11-12 14:53:12.882030 traveling from port to site \n", + "2023-11-12 14:53:12.882180 arrived at WTG_0403 \n", + "2023-11-12 14:53:12.882260 transferring crew from Crew Transfer Vessel 5 ... \n", + "2023-11-12 14:53:12.882267 arrived at WTG_0505 \n", + "2023-11-12 14:53:12.882333 transferring crew from Crew Transfer Vessel 3 ... \n", + "2023-11-12 14:53:12.882339 arrived at WTG_0407 \n", + "2023-11-12 14:53:12.882404 transferring crew from Crew Transfer Vessel 6 ... \n", + "2023-11-12 14:53:12.882410 arrived at WTG_0004 \n", + "2023-11-12 14:53:12.882473 transferring crew from Crew Transfer Vessel 1 ... \n", + "2023-11-12 14:53:12.882485 arrived at WTG_0409 \n", + "2023-11-12 14:53:12.882547 transferring crew from Crew Transfer Vessel 4 ... \n", + "2023-11-12 14:53:12.882552 arrived at WTG_0500 \n", + "2023-11-12 14:53:12.882613 transferring crew from Crew Transfer Vessel 2 ... \n", + "2023-11-12 14:53:12.882619 arrived at WTG_0507 \n", + "2023-11-12 14:53:12.882679 transferring crew from Crew Transfer Vessel 7 ... \n", + "2023-11-12 14:53:12.882753 complete \n", + "2023-11-12 14:53:12.882882 repair \n", + "2023-11-12 14:53:12.882892 complete \n", + "2023-11-12 14:53:12.883089 repair \n", + "2023-11-12 14:53:12.883098 complete \n", + "2023-11-12 14:53:12.883227 repair \n", + "2023-11-12 14:53:12.883233 complete \n", + "2023-11-12 14:53:12.883377 repair \n", + "2023-11-12 14:53:12.883386 complete \n", + "2023-11-12 14:53:12.883583 repair \n", + "2023-11-12 14:53:12.883593 complete \n", + "2023-11-12 14:53:12.883779 repair \n", + "2023-11-12 14:53:12.883786 complete \n", + "2023-11-12 14:53:12.883941 repair \n", + "2023-11-12 14:53:12.884061 transferring crew from WTG_0403 to Crew Transf... \n", + "2023-11-12 14:53:12.884069 complete \n", + "2023-11-12 14:53:12.884285 complete \n", + "2023-11-12 14:53:12.885023 traveling from WTG_0403 to WTG_0704 \n", + "2023-11-12 14:53:12.885032 arrived at WTG_0704 \n", + "2023-11-12 14:53:12.885334 transferring crew from Crew Transfer Vessel 5 ... \n", + "2023-11-12 14:53:12.885446 complete \n", + "2023-11-12 14:53:12.885592 repair \n", + "2023-11-12 14:53:12.885699 transferring crew from WTG_0500 to Crew Transf... \n", + "2023-11-12 14:53:12.885706 complete \n", + "2023-11-12 14:53:12.885767 complete \n", + "2023-11-12 14:53:12.886489 traveling from WTG_0500 to SS1 \n", + "2023-11-12 14:53:12.886659 arrived at SS1 \n", + "2023-11-12 14:53:12.886778 transferring crew from Crew Transfer Vessel 2 ... \n", + "2023-11-12 14:53:12.886784 complete \n", "\n", " system_id part_id request_id \\\n", "datetime \n", - "2023-10-26 11:50:37.778064 WTG_0403 rotor_blades RPR00000381 \n", - "2023-10-26 11:50:37.778203 WTG_0505 hydraulic_system RPR00000358 \n", - "2023-10-26 11:50:37.778341 WTG_0407 hydraulic_system RPR00000313 \n", - "2023-10-26 11:50:37.778477 WTG_0004 hydraulic_system RPR00000314 \n", - "2023-10-26 11:50:37.778614 WTG_0409 hydraulic_system RPR00000319 \n", - "2023-10-26 11:50:37.778749 WTG_0500 generator RPR00000391 \n", - "2023-10-26 11:50:37.778882 WTG_0507 rotor_blades RPR00000382 \n", - "2023-10-26 11:50:37.779019 WTG_0403 rotor_blades RPR00000381 \n", - "2023-10-26 11:50:37.779088 WTG_0403 rotor_blades RPR00000381 \n", - "2023-10-26 11:50:37.779098 WTG_0505 hydraulic_system RPR00000358 \n", - "2023-10-26 11:50:37.779161 WTG_0505 hydraulic_system RPR00000358 \n", - "2023-10-26 11:50:37.779167 WTG_0407 hydraulic_system RPR00000313 \n", - "2023-10-26 11:50:37.779228 WTG_0407 hydraulic_system RPR00000313 \n", - "2023-10-26 11:50:37.779234 WTG_0004 hydraulic_system RPR00000314 \n", - "2023-10-26 11:50:37.779293 WTG_0004 hydraulic_system RPR00000314 \n", - "2023-10-26 11:50:37.779299 WTG_0409 hydraulic_system RPR00000319 \n", - "2023-10-26 11:50:37.779359 WTG_0409 hydraulic_system RPR00000319 \n", - "2023-10-26 11:50:37.779365 WTG_0500 generator RPR00000391 \n", - "2023-10-26 11:50:37.779423 WTG_0500 generator RPR00000391 \n", - "2023-10-26 11:50:37.779429 WTG_0507 rotor_blades RPR00000382 \n", - "2023-10-26 11:50:37.779491 WTG_0507 rotor_blades RPR00000382 \n", - "2023-10-26 11:50:37.779560 WTG_0403 rotor_blades RPR00000381 \n", - "2023-10-26 11:50:37.779648 WTG_0403 rotor_blades RPR00000381 \n", - "2023-10-26 11:50:37.779654 WTG_0505 hydraulic_system RPR00000358 \n", - "2023-10-26 11:50:37.779916 WTG_0505 hydraulic_system RPR00000358 \n", - "2023-10-26 11:50:37.779922 WTG_0407 hydraulic_system RPR00000313 \n", - "2023-10-26 11:50:37.780101 WTG_0407 hydraulic_system RPR00000313 \n", - "2023-10-26 11:50:37.780109 WTG_0004 hydraulic_system RPR00000314 \n", - "2023-10-26 11:50:37.780229 WTG_0004 hydraulic_system RPR00000314 \n", - "2023-10-26 11:50:37.780235 WTG_0409 hydraulic_system RPR00000319 \n", - "2023-10-26 11:50:37.780340 WTG_0409 hydraulic_system RPR00000319 \n", - "2023-10-26 11:50:37.780346 WTG_0500 generator RPR00000391 \n", - "2023-10-26 11:50:37.780449 WTG_0500 generator RPR00000391 \n", - "2023-10-26 11:50:37.780455 WTG_0507 rotor_blades RPR00000382 \n", - "2023-10-26 11:50:37.780559 WTG_0507 rotor_blades RPR00000382 \n", - "2023-10-26 11:50:37.780631 WTG_0403 rotor_blades RPR00000381 \n", - "2023-10-26 11:50:37.780637 WTG_0403 rotor_blades RPR00000381 \n", - "2023-10-26 11:50:37.780780 WTG_0403 rotor_blades RPR00000381 \n", - "2023-10-26 11:50:37.781404 WTG_0704 electrical_system RPR00000315 \n", - "2023-10-26 11:50:37.781412 WTG_0704 electrical_system RPR00000315 \n", - "2023-10-26 11:50:37.781673 WTG_0704 electrical_system RPR00000315 \n", - "2023-10-26 11:50:37.781746 WTG_0704 electrical_system RPR00000315 \n", - "2023-10-26 11:50:37.781847 WTG_0704 electrical_system RPR00000315 \n", - "2023-10-26 11:50:37.781919 WTG_0500 generator RPR00000391 \n", - "2023-10-26 11:50:37.781924 WTG_0500 generator RPR00000391 \n", - "2023-10-26 11:50:37.781976 WTG_0500 generator RPR00000391 \n", - "2023-10-26 11:50:37.782602 SS1 transformer MNT00000325 \n", - "2023-10-26 11:50:37.782679 SS1 transformer MNT00000325 \n", - "2023-10-26 11:50:37.782775 SS1 transformer MNT00000325 \n", - "2023-10-26 11:50:37.782781 SS1 transformer MNT00000325 \n", + "2023-11-12 14:53:12.881159 WTG_0403 rotor_blades RPR00000381 \n", + "2023-11-12 14:53:12.881315 WTG_0505 hydraulic_system RPR00000358 \n", + "2023-11-12 14:53:12.881462 WTG_0407 hydraulic_system RPR00000313 \n", + "2023-11-12 14:53:12.881608 WTG_0004 hydraulic_system RPR00000314 \n", + "2023-11-12 14:53:12.881748 WTG_0409 hydraulic_system RPR00000319 \n", + "2023-11-12 14:53:12.881890 WTG_0500 generator RPR00000391 \n", + "2023-11-12 14:53:12.882030 WTG_0507 rotor_blades RPR00000382 \n", + "2023-11-12 14:53:12.882180 WTG_0403 rotor_blades RPR00000381 \n", + "2023-11-12 14:53:12.882260 WTG_0403 rotor_blades RPR00000381 \n", + "2023-11-12 14:53:12.882267 WTG_0505 hydraulic_system RPR00000358 \n", + "2023-11-12 14:53:12.882333 WTG_0505 hydraulic_system RPR00000358 \n", + "2023-11-12 14:53:12.882339 WTG_0407 hydraulic_system RPR00000313 \n", + "2023-11-12 14:53:12.882404 WTG_0407 hydraulic_system RPR00000313 \n", + "2023-11-12 14:53:12.882410 WTG_0004 hydraulic_system RPR00000314 \n", + "2023-11-12 14:53:12.882473 WTG_0004 hydraulic_system RPR00000314 \n", + "2023-11-12 14:53:12.882485 WTG_0409 hydraulic_system RPR00000319 \n", + "2023-11-12 14:53:12.882547 WTG_0409 hydraulic_system RPR00000319 \n", + "2023-11-12 14:53:12.882552 WTG_0500 generator RPR00000391 \n", + "2023-11-12 14:53:12.882613 WTG_0500 generator RPR00000391 \n", + "2023-11-12 14:53:12.882619 WTG_0507 rotor_blades RPR00000382 \n", + "2023-11-12 14:53:12.882679 WTG_0507 rotor_blades RPR00000382 \n", + "2023-11-12 14:53:12.882753 WTG_0403 rotor_blades RPR00000381 \n", + "2023-11-12 14:53:12.882882 WTG_0403 rotor_blades RPR00000381 \n", + "2023-11-12 14:53:12.882892 WTG_0505 hydraulic_system RPR00000358 \n", + "2023-11-12 14:53:12.883089 WTG_0505 hydraulic_system RPR00000358 \n", + "2023-11-12 14:53:12.883098 WTG_0407 hydraulic_system RPR00000313 \n", + "2023-11-12 14:53:12.883227 WTG_0407 hydraulic_system RPR00000313 \n", + "2023-11-12 14:53:12.883233 WTG_0004 hydraulic_system RPR00000314 \n", + "2023-11-12 14:53:12.883377 WTG_0004 hydraulic_system RPR00000314 \n", + "2023-11-12 14:53:12.883386 WTG_0409 hydraulic_system RPR00000319 \n", + "2023-11-12 14:53:12.883583 WTG_0409 hydraulic_system RPR00000319 \n", + "2023-11-12 14:53:12.883593 WTG_0500 generator RPR00000391 \n", + "2023-11-12 14:53:12.883779 WTG_0500 generator RPR00000391 \n", + "2023-11-12 14:53:12.883786 WTG_0507 rotor_blades RPR00000382 \n", + "2023-11-12 14:53:12.883941 WTG_0507 rotor_blades RPR00000382 \n", + "2023-11-12 14:53:12.884061 WTG_0403 rotor_blades RPR00000381 \n", + "2023-11-12 14:53:12.884069 WTG_0403 rotor_blades RPR00000381 \n", + "2023-11-12 14:53:12.884285 WTG_0403 rotor_blades RPR00000381 \n", + "2023-11-12 14:53:12.885023 WTG_0704 electrical_system RPR00000315 \n", + "2023-11-12 14:53:12.885032 WTG_0704 electrical_system RPR00000315 \n", + "2023-11-12 14:53:12.885334 WTG_0704 electrical_system RPR00000315 \n", + "2023-11-12 14:53:12.885446 WTG_0704 electrical_system RPR00000315 \n", + "2023-11-12 14:53:12.885592 WTG_0704 electrical_system RPR00000315 \n", + "2023-11-12 14:53:12.885699 WTG_0500 generator RPR00000391 \n", + "2023-11-12 14:53:12.885706 WTG_0500 generator RPR00000391 \n", + "2023-11-12 14:53:12.885767 WTG_0500 generator RPR00000391 \n", + "2023-11-12 14:53:12.886489 SS1 transformer MNT00000325 \n", + "2023-11-12 14:53:12.886659 SS1 transformer MNT00000325 \n", + "2023-11-12 14:53:12.886778 SS1 transformer MNT00000325 \n", + "2023-11-12 14:53:12.886784 SS1 transformer MNT00000325 \n", "\n", " duration \n", "datetime \n", - "2023-10-26 11:50:37.778064 1.809689 \n", - "2023-10-26 11:50:37.778203 1.809705 \n", - "2023-10-26 11:50:37.778341 1.809707 \n", - "2023-10-26 11:50:37.778477 1.809725 \n", - "2023-10-26 11:50:37.778614 1.809782 \n", - "2023-10-26 11:50:37.778749 1.809821 \n", - "2023-10-26 11:50:37.778882 1.809892 \n", - "2023-10-26 11:50:37.779019 0.0 \n", - "2023-10-26 11:50:37.779088 0.25 \n", - "2023-10-26 11:50:37.779098 0.0 \n", - "2023-10-26 11:50:37.779161 0.25 \n", - "2023-10-26 11:50:37.779167 0.0 \n", - "2023-10-26 11:50:37.779228 0.25 \n", - "2023-10-26 11:50:37.779234 0.0 \n", - "2023-10-26 11:50:37.779293 0.25 \n", - "2023-10-26 11:50:37.779299 0.0 \n", - "2023-10-26 11:50:37.779359 0.25 \n", - "2023-10-26 11:50:37.779365 0.0 \n", - "2023-10-26 11:50:37.779423 0.25 \n", - "2023-10-26 11:50:37.779429 0.0 \n", - "2023-10-26 11:50:37.779491 0.25 \n", - "2023-10-26 11:50:37.779560 0.0 \n", - "2023-10-26 11:50:37.779648 0.410556 \n", - "2023-10-26 11:50:37.779654 0.0 \n", - "2023-10-26 11:50:37.779916 6.12 \n", - "2023-10-26 11:50:37.779922 0.0 \n", - "2023-10-26 11:50:37.780101 9.881944 \n", - "2023-10-26 11:50:37.780109 0.0 \n", - "2023-10-26 11:50:37.780229 10.898333 \n", - "2023-10-26 11:50:37.780235 0.0 \n", - "2023-10-26 11:50:37.780340 6.12 \n", - "2023-10-26 11:50:37.780346 0.0 \n", - "2023-10-26 11:50:37.780449 1.603333 \n", - "2023-10-26 11:50:37.780455 0.0 \n", - "2023-10-26 11:50:37.780559 2.5475 \n", - "2023-10-26 11:50:37.780631 0.25 \n", - "2023-10-26 11:50:37.780637 0.0 \n", - "2023-10-26 11:50:37.780780 0.0 \n", - "2023-10-26 11:50:37.781404 0.184454 \n", - "2023-10-26 11:50:37.781412 0.0 \n", - "2023-10-26 11:50:37.781673 0.25 \n", - "2023-10-26 11:50:37.781746 0.0 \n", - "2023-10-26 11:50:37.781847 12.594722 \n", - "2023-10-26 11:50:37.781919 0.25 \n", - "2023-10-26 11:50:37.781924 0.0 \n", - "2023-10-26 11:50:37.781976 0.0 \n", - "2023-10-26 11:50:37.782602 0.212317 \n", - "2023-10-26 11:50:37.782679 0.0 \n", - "2023-10-26 11:50:37.782775 0.25 \n", - "2023-10-26 11:50:37.782781 0.0 " + "2023-11-12 14:53:12.881159 1.809689 \n", + "2023-11-12 14:53:12.881315 1.809705 \n", + "2023-11-12 14:53:12.881462 1.809707 \n", + "2023-11-12 14:53:12.881608 1.809725 \n", + "2023-11-12 14:53:12.881748 1.809782 \n", + "2023-11-12 14:53:12.881890 1.809821 \n", + "2023-11-12 14:53:12.882030 1.809892 \n", + "2023-11-12 14:53:12.882180 0.0 \n", + "2023-11-12 14:53:12.882260 0.25 \n", + "2023-11-12 14:53:12.882267 0.0 \n", + "2023-11-12 14:53:12.882333 0.25 \n", + "2023-11-12 14:53:12.882339 0.0 \n", + "2023-11-12 14:53:12.882404 0.25 \n", + "2023-11-12 14:53:12.882410 0.0 \n", + "2023-11-12 14:53:12.882473 0.25 \n", + "2023-11-12 14:53:12.882485 0.0 \n", + "2023-11-12 14:53:12.882547 0.25 \n", + "2023-11-12 14:53:12.882552 0.0 \n", + "2023-11-12 14:53:12.882613 0.25 \n", + "2023-11-12 14:53:12.882619 0.0 \n", + "2023-11-12 14:53:12.882679 0.25 \n", + "2023-11-12 14:53:12.882753 0.0 \n", + "2023-11-12 14:53:12.882882 0.410556 \n", + "2023-11-12 14:53:12.882892 0.0 \n", + "2023-11-12 14:53:12.883089 6.12 \n", + "2023-11-12 14:53:12.883098 0.0 \n", + "2023-11-12 14:53:12.883227 9.881944 \n", + "2023-11-12 14:53:12.883233 0.0 \n", + "2023-11-12 14:53:12.883377 10.898333 \n", + "2023-11-12 14:53:12.883386 0.0 \n", + "2023-11-12 14:53:12.883583 6.12 \n", + "2023-11-12 14:53:12.883593 0.0 \n", + "2023-11-12 14:53:12.883779 1.603333 \n", + "2023-11-12 14:53:12.883786 0.0 \n", + "2023-11-12 14:53:12.883941 2.5475 \n", + "2023-11-12 14:53:12.884061 0.25 \n", + "2023-11-12 14:53:12.884069 0.0 \n", + "2023-11-12 14:53:12.884285 0.0 \n", + "2023-11-12 14:53:12.885023 0.184454 \n", + "2023-11-12 14:53:12.885032 0.0 \n", + "2023-11-12 14:53:12.885334 0.25 \n", + "2023-11-12 14:53:12.885446 0.0 \n", + "2023-11-12 14:53:12.885592 12.594722 \n", + "2023-11-12 14:53:12.885699 0.25 \n", + "2023-11-12 14:53:12.885706 0.0 \n", + "2023-11-12 14:53:12.885767 0.0 \n", + "2023-11-12 14:53:12.886489 0.212317 \n", + "2023-11-12 14:53:12.886659 0.0 \n", + "2023-11-12 14:53:12.886778 0.25 \n", + "2023-11-12 14:53:12.886784 0.0 " ] }, "execution_count": 19, @@ -2895,7 +2895,7 @@ " \n", " \n", " \n", - " 2023-10-26 11:50:37.781924\n", + " 2023-11-12 14:53:12.885706\n", " 2003-01-20 09:54:47\n", " Crew Transfer Vessel 2\n", " complete transfer\n", @@ -2907,7 +2907,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.781976\n", + " 2023-11-12 14:53:12.885767\n", " 2003-01-20 09:54:47\n", " Crew Transfer Vessel 2\n", " repair complete\n", @@ -2919,7 +2919,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.782602\n", + " 2023-11-12 14:53:12.886489\n", " 2003-01-20 09:54:56\n", " Crew Transfer Vessel 2\n", " traveling\n", @@ -2931,7 +2931,7 @@ " 0.212317\n", " \n", " \n", - " 2023-10-26 11:50:37.782679\n", + " 2023-11-12 14:53:12.886659\n", " 2003-01-20 10:07:41\n", " Crew Transfer Vessel 2\n", " complete travel\n", @@ -2943,7 +2943,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.782775\n", + " 2023-11-12 14:53:12.886778\n", " 2003-01-20 10:07:41\n", " Crew Transfer Vessel 2\n", " transferring crew\n", @@ -2955,7 +2955,7 @@ " 0.25\n", " \n", " \n", - " 2023-10-26 11:50:37.782781\n", + " 2023-11-12 14:53:12.886784\n", " 2003-01-20 10:22:41\n", " Crew Transfer Vessel 2\n", " complete transfer\n", @@ -2967,7 +2967,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.782876\n", + " 2023-11-12 14:53:12.886928\n", " 2003-01-20 10:22:41\n", " Crew Transfer Vessel 2\n", " maintenance\n", @@ -2979,7 +2979,7 @@ " 11.371944\n", " \n", " \n", - " 2023-10-26 11:50:37.782949\n", + " 2023-11-12 14:53:12.887045\n", " 2003-01-20 10:36:27\n", " Crew Transfer Vessel 7\n", " transferring crew\n", @@ -2991,7 +2991,7 @@ " 0.25\n", " \n", " \n", - " 2023-10-26 11:50:37.782955\n", + " 2023-11-12 14:53:12.887052\n", " 2003-01-20 10:51:27\n", " Crew Transfer Vessel 7\n", " complete transfer\n", @@ -3003,7 +3003,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.783007\n", + " 2023-11-12 14:53:12.887124\n", " 2003-01-20 10:51:27\n", " Crew Transfer Vessel 7\n", " repair complete\n", @@ -3015,7 +3015,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.783632\n", + " 2023-11-12 14:53:12.887882\n", " 2003-01-20 10:51:33\n", " Crew Transfer Vessel 7\n", " traveling\n", @@ -3027,7 +3027,7 @@ " 0.467544\n", " \n", " \n", - " 2023-10-26 11:50:37.783706\n", + " 2023-11-12 14:53:12.888106\n", " 2003-01-20 11:19:36\n", " Crew Transfer Vessel 7\n", " complete travel\n", @@ -3039,7 +3039,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.783803\n", + " 2023-11-12 14:53:12.888216\n", " 2003-01-20 11:19:36\n", " Crew Transfer Vessel 7\n", " transferring crew\n", @@ -3051,7 +3051,7 @@ " 0.25\n", " \n", " \n", - " 2023-10-26 11:50:37.783809\n", + " 2023-11-12 14:53:12.888222\n", " 2003-01-20 11:34:36\n", " Crew Transfer Vessel 7\n", " complete transfer\n", @@ -3063,7 +3063,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.783905\n", + " 2023-11-12 14:53:12.888336\n", " 2003-01-20 11:34:36\n", " Crew Transfer Vessel 7\n", " maintenance\n", @@ -3075,7 +3075,7 @@ " 10.173333\n", " \n", " \n", - " 2023-10-26 11:50:37.784173\n", + " 2023-11-12 14:53:12.888613\n", " 2003-01-20 14:10:47\n", " Crew Transfer Vessel 3\n", " transferring crew\n", @@ -3087,7 +3087,7 @@ " 0.25\n", " \n", " \n", - " 2023-10-26 11:50:37.784239\n", + " 2023-11-12 14:53:12.888683\n", " 2003-01-20 14:10:47\n", " Crew Transfer Vessel 4\n", " transferring crew\n", @@ -3099,7 +3099,7 @@ " 0.25\n", " \n", " \n", - " 2023-10-26 11:50:37.784246\n", + " 2023-11-12 14:53:12.888689\n", " 2003-01-20 14:25:47\n", " Crew Transfer Vessel 3\n", " complete transfer\n", @@ -3111,7 +3111,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.784296\n", + " 2023-11-12 14:53:12.888739\n", " 2003-01-20 14:25:47\n", " Crew Transfer Vessel 3\n", " repair complete\n", @@ -3123,7 +3123,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.784842\n", + " 2023-11-12 14:53:12.889295\n", " 2003-01-20 14:25:47\n", " Crew Transfer Vessel 4\n", " complete transfer\n", @@ -3141,118 +3141,118 @@ "text/plain": [ " env_datetime agent \\\n", "datetime \n", - "2023-10-26 11:50:37.781924 2003-01-20 09:54:47 Crew Transfer Vessel 2 \n", - "2023-10-26 11:50:37.781976 2003-01-20 09:54:47 Crew Transfer Vessel 2 \n", - "2023-10-26 11:50:37.782602 2003-01-20 09:54:56 Crew Transfer Vessel 2 \n", - "2023-10-26 11:50:37.782679 2003-01-20 10:07:41 Crew Transfer Vessel 2 \n", - "2023-10-26 11:50:37.782775 2003-01-20 10:07:41 Crew Transfer Vessel 2 \n", - "2023-10-26 11:50:37.782781 2003-01-20 10:22:41 Crew Transfer Vessel 2 \n", - "2023-10-26 11:50:37.782876 2003-01-20 10:22:41 Crew Transfer Vessel 2 \n", - "2023-10-26 11:50:37.782949 2003-01-20 10:36:27 Crew Transfer Vessel 7 \n", - "2023-10-26 11:50:37.782955 2003-01-20 10:51:27 Crew Transfer Vessel 7 \n", - "2023-10-26 11:50:37.783007 2003-01-20 10:51:27 Crew Transfer Vessel 7 \n", - "2023-10-26 11:50:37.783632 2003-01-20 10:51:33 Crew Transfer Vessel 7 \n", - "2023-10-26 11:50:37.783706 2003-01-20 11:19:36 Crew Transfer Vessel 7 \n", - "2023-10-26 11:50:37.783803 2003-01-20 11:19:36 Crew Transfer Vessel 7 \n", - "2023-10-26 11:50:37.783809 2003-01-20 11:34:36 Crew Transfer Vessel 7 \n", - "2023-10-26 11:50:37.783905 2003-01-20 11:34:36 Crew Transfer Vessel 7 \n", - "2023-10-26 11:50:37.784173 2003-01-20 14:10:47 Crew Transfer Vessel 3 \n", - "2023-10-26 11:50:37.784239 2003-01-20 14:10:47 Crew Transfer Vessel 4 \n", - "2023-10-26 11:50:37.784246 2003-01-20 14:25:47 Crew Transfer Vessel 3 \n", - "2023-10-26 11:50:37.784296 2003-01-20 14:25:47 Crew Transfer Vessel 3 \n", - "2023-10-26 11:50:37.784842 2003-01-20 14:25:47 Crew Transfer Vessel 4 \n", + "2023-11-12 14:53:12.885706 2003-01-20 09:54:47 Crew Transfer Vessel 2 \n", + "2023-11-12 14:53:12.885767 2003-01-20 09:54:47 Crew Transfer Vessel 2 \n", + "2023-11-12 14:53:12.886489 2003-01-20 09:54:56 Crew Transfer Vessel 2 \n", + "2023-11-12 14:53:12.886659 2003-01-20 10:07:41 Crew Transfer Vessel 2 \n", + "2023-11-12 14:53:12.886778 2003-01-20 10:07:41 Crew Transfer Vessel 2 \n", + "2023-11-12 14:53:12.886784 2003-01-20 10:22:41 Crew Transfer Vessel 2 \n", + "2023-11-12 14:53:12.886928 2003-01-20 10:22:41 Crew Transfer Vessel 2 \n", + "2023-11-12 14:53:12.887045 2003-01-20 10:36:27 Crew Transfer Vessel 7 \n", + "2023-11-12 14:53:12.887052 2003-01-20 10:51:27 Crew Transfer Vessel 7 \n", + "2023-11-12 14:53:12.887124 2003-01-20 10:51:27 Crew Transfer Vessel 7 \n", + "2023-11-12 14:53:12.887882 2003-01-20 10:51:33 Crew Transfer Vessel 7 \n", + "2023-11-12 14:53:12.888106 2003-01-20 11:19:36 Crew Transfer Vessel 7 \n", + "2023-11-12 14:53:12.888216 2003-01-20 11:19:36 Crew Transfer Vessel 7 \n", + "2023-11-12 14:53:12.888222 2003-01-20 11:34:36 Crew Transfer Vessel 7 \n", + "2023-11-12 14:53:12.888336 2003-01-20 11:34:36 Crew Transfer Vessel 7 \n", + "2023-11-12 14:53:12.888613 2003-01-20 14:10:47 Crew Transfer Vessel 3 \n", + "2023-11-12 14:53:12.888683 2003-01-20 14:10:47 Crew Transfer Vessel 4 \n", + "2023-11-12 14:53:12.888689 2003-01-20 14:25:47 Crew Transfer Vessel 3 \n", + "2023-11-12 14:53:12.888739 2003-01-20 14:25:47 Crew Transfer Vessel 3 \n", + "2023-11-12 14:53:12.889295 2003-01-20 14:25:47 Crew Transfer Vessel 4 \n", "\n", " action \\\n", "datetime \n", - "2023-10-26 11:50:37.781924 complete transfer \n", - "2023-10-26 11:50:37.781976 repair complete \n", - "2023-10-26 11:50:37.782602 traveling \n", - "2023-10-26 11:50:37.782679 complete travel \n", - "2023-10-26 11:50:37.782775 transferring crew \n", - "2023-10-26 11:50:37.782781 complete transfer \n", - "2023-10-26 11:50:37.782876 maintenance \n", - "2023-10-26 11:50:37.782949 transferring crew \n", - "2023-10-26 11:50:37.782955 complete transfer \n", - "2023-10-26 11:50:37.783007 repair complete \n", - "2023-10-26 11:50:37.783632 traveling \n", - "2023-10-26 11:50:37.783706 complete travel \n", - "2023-10-26 11:50:37.783803 transferring crew \n", - "2023-10-26 11:50:37.783809 complete transfer \n", - "2023-10-26 11:50:37.783905 maintenance \n", - "2023-10-26 11:50:37.784173 transferring crew \n", - "2023-10-26 11:50:37.784239 transferring crew \n", - "2023-10-26 11:50:37.784246 complete transfer \n", - "2023-10-26 11:50:37.784296 repair complete \n", - "2023-10-26 11:50:37.784842 complete transfer \n", + "2023-11-12 14:53:12.885706 complete transfer \n", + "2023-11-12 14:53:12.885767 repair complete \n", + "2023-11-12 14:53:12.886489 traveling \n", + "2023-11-12 14:53:12.886659 complete travel \n", + "2023-11-12 14:53:12.886778 transferring crew \n", + "2023-11-12 14:53:12.886784 complete transfer \n", + "2023-11-12 14:53:12.886928 maintenance \n", + "2023-11-12 14:53:12.887045 transferring crew \n", + "2023-11-12 14:53:12.887052 complete transfer \n", + "2023-11-12 14:53:12.887124 repair complete \n", + "2023-11-12 14:53:12.887882 traveling \n", + "2023-11-12 14:53:12.888106 complete travel \n", + "2023-11-12 14:53:12.888216 transferring crew \n", + "2023-11-12 14:53:12.888222 complete transfer \n", + "2023-11-12 14:53:12.888336 maintenance \n", + "2023-11-12 14:53:12.888613 transferring crew \n", + "2023-11-12 14:53:12.888683 transferring crew \n", + "2023-11-12 14:53:12.888689 complete transfer \n", + "2023-11-12 14:53:12.888739 repair complete \n", + "2023-11-12 14:53:12.889295 complete transfer \n", "\n", " reason \\\n", "datetime \n", - "2023-10-26 11:50:37.781924 direct drive generator minor repair \n", - "2023-10-26 11:50:37.781976 direct drive generator minor repair \n", - "2023-10-26 11:50:37.782602 oss annual inspection \n", - "2023-10-26 11:50:37.782679 oss annual inspection \n", - "2023-10-26 11:50:37.782775 oss annual inspection \n", - "2023-10-26 11:50:37.782781 oss annual inspection \n", - "2023-10-26 11:50:37.782876 oss annual inspection \n", - "2023-10-26 11:50:37.782949 blades minor repair \n", - "2023-10-26 11:50:37.782955 blades minor repair \n", - "2023-10-26 11:50:37.783007 blades minor repair \n", - "2023-10-26 11:50:37.783632 oss annual inspection \n", - "2023-10-26 11:50:37.783706 oss annual inspection \n", - "2023-10-26 11:50:37.783803 oss annual inspection \n", - "2023-10-26 11:50:37.783809 oss annual inspection \n", - "2023-10-26 11:50:37.783905 oss annual inspection \n", - "2023-10-26 11:50:37.784173 major pitch system repair \n", - "2023-10-26 11:50:37.784239 major pitch system repair \n", - "2023-10-26 11:50:37.784246 major pitch system repair \n", - "2023-10-26 11:50:37.784296 major pitch system repair \n", - "2023-10-26 11:50:37.784842 major pitch system repair \n", + "2023-11-12 14:53:12.885706 direct drive generator minor repair \n", + "2023-11-12 14:53:12.885767 direct drive generator minor repair \n", + "2023-11-12 14:53:12.886489 oss annual inspection \n", + "2023-11-12 14:53:12.886659 oss annual inspection \n", + "2023-11-12 14:53:12.886778 oss annual inspection \n", + "2023-11-12 14:53:12.886784 oss annual inspection \n", + "2023-11-12 14:53:12.886928 oss annual inspection \n", + "2023-11-12 14:53:12.887045 blades minor repair \n", + "2023-11-12 14:53:12.887052 blades minor repair \n", + "2023-11-12 14:53:12.887124 blades minor repair \n", + "2023-11-12 14:53:12.887882 oss annual inspection \n", + "2023-11-12 14:53:12.888106 oss annual inspection \n", + "2023-11-12 14:53:12.888216 oss annual inspection \n", + "2023-11-12 14:53:12.888222 oss annual inspection \n", + "2023-11-12 14:53:12.888336 oss annual inspection \n", + "2023-11-12 14:53:12.888613 major pitch system repair \n", + "2023-11-12 14:53:12.888683 major pitch system repair \n", + "2023-11-12 14:53:12.888689 major pitch system repair \n", + "2023-11-12 14:53:12.888739 major pitch system repair \n", + "2023-11-12 14:53:12.889295 major pitch system repair \n", "\n", " additional \\\n", "datetime \n", - "2023-10-26 11:50:37.781924 complete \n", - "2023-10-26 11:50:37.781976 complete \n", - "2023-10-26 11:50:37.782602 traveling from WTG_0500 to SS1 \n", - "2023-10-26 11:50:37.782679 arrived at SS1 \n", - "2023-10-26 11:50:37.782775 transferring crew from Crew Transfer Vessel 2 ... \n", - "2023-10-26 11:50:37.782781 complete \n", - "2023-10-26 11:50:37.782876 maintenance \n", - "2023-10-26 11:50:37.782949 transferring crew from WTG_0507 to Crew Transf... \n", - "2023-10-26 11:50:37.782955 complete \n", - "2023-10-26 11:50:37.783007 complete \n", - "2023-10-26 11:50:37.783632 traveling from WTG_0507 to SS2 \n", - "2023-10-26 11:50:37.783706 arrived at SS2 \n", - "2023-10-26 11:50:37.783803 transferring crew from Crew Transfer Vessel 7 ... \n", - "2023-10-26 11:50:37.783809 complete \n", - "2023-10-26 11:50:37.783905 maintenance \n", - "2023-10-26 11:50:37.784173 transferring crew from WTG_0505 to Crew Transf... \n", - "2023-10-26 11:50:37.784239 transferring crew from WTG_0409 to Crew Transf... \n", - "2023-10-26 11:50:37.784246 complete \n", - "2023-10-26 11:50:37.784296 complete \n", - "2023-10-26 11:50:37.784842 complete \n", + "2023-11-12 14:53:12.885706 complete \n", + "2023-11-12 14:53:12.885767 complete \n", + "2023-11-12 14:53:12.886489 traveling from WTG_0500 to SS1 \n", + "2023-11-12 14:53:12.886659 arrived at SS1 \n", + "2023-11-12 14:53:12.886778 transferring crew from Crew Transfer Vessel 2 ... \n", + "2023-11-12 14:53:12.886784 complete \n", + "2023-11-12 14:53:12.886928 maintenance \n", + "2023-11-12 14:53:12.887045 transferring crew from WTG_0507 to Crew Transf... \n", + "2023-11-12 14:53:12.887052 complete \n", + "2023-11-12 14:53:12.887124 complete \n", + "2023-11-12 14:53:12.887882 traveling from WTG_0507 to SS2 \n", + "2023-11-12 14:53:12.888106 arrived at SS2 \n", + "2023-11-12 14:53:12.888216 transferring crew from Crew Transfer Vessel 7 ... \n", + "2023-11-12 14:53:12.888222 complete \n", + "2023-11-12 14:53:12.888336 maintenance \n", + "2023-11-12 14:53:12.888613 transferring crew from WTG_0505 to Crew Transf... \n", + "2023-11-12 14:53:12.888683 transferring crew from WTG_0409 to Crew Transf... \n", + "2023-11-12 14:53:12.888689 complete \n", + "2023-11-12 14:53:12.888739 complete \n", + "2023-11-12 14:53:12.889295 complete \n", "\n", " system_id part_id request_id duration \n", "datetime \n", - "2023-10-26 11:50:37.781924 WTG_0500 generator RPR00000391 0.0 \n", - "2023-10-26 11:50:37.781976 WTG_0500 generator RPR00000391 0.0 \n", - "2023-10-26 11:50:37.782602 SS1 transformer MNT00000325 0.212317 \n", - "2023-10-26 11:50:37.782679 SS1 transformer MNT00000325 0.0 \n", - "2023-10-26 11:50:37.782775 SS1 transformer MNT00000325 0.25 \n", - "2023-10-26 11:50:37.782781 SS1 transformer MNT00000325 0.0 \n", - "2023-10-26 11:50:37.782876 SS1 transformer MNT00000325 11.371944 \n", - "2023-10-26 11:50:37.782949 WTG_0507 rotor_blades RPR00000382 0.25 \n", - "2023-10-26 11:50:37.782955 WTG_0507 rotor_blades RPR00000382 0.0 \n", - "2023-10-26 11:50:37.783007 WTG_0507 rotor_blades RPR00000382 0.0 \n", - "2023-10-26 11:50:37.783632 SS2 transformer MNT00000326 0.467544 \n", - "2023-10-26 11:50:37.783706 SS2 transformer MNT00000326 0.0 \n", - "2023-10-26 11:50:37.783803 SS2 transformer MNT00000326 0.25 \n", - "2023-10-26 11:50:37.783809 SS2 transformer MNT00000326 0.0 \n", - "2023-10-26 11:50:37.783905 SS2 transformer MNT00000326 10.173333 \n", - "2023-10-26 11:50:37.784173 WTG_0505 hydraulic_system RPR00000358 0.25 \n", - "2023-10-26 11:50:37.784239 WTG_0409 hydraulic_system RPR00000319 0.25 \n", - "2023-10-26 11:50:37.784246 WTG_0505 hydraulic_system RPR00000358 0.0 \n", - "2023-10-26 11:50:37.784296 WTG_0505 hydraulic_system RPR00000358 0.0 \n", - "2023-10-26 11:50:37.784842 WTG_0409 hydraulic_system RPR00000319 0.0 " + "2023-11-12 14:53:12.885706 WTG_0500 generator RPR00000391 0.0 \n", + "2023-11-12 14:53:12.885767 WTG_0500 generator RPR00000391 0.0 \n", + "2023-11-12 14:53:12.886489 SS1 transformer MNT00000325 0.212317 \n", + "2023-11-12 14:53:12.886659 SS1 transformer MNT00000325 0.0 \n", + "2023-11-12 14:53:12.886778 SS1 transformer MNT00000325 0.25 \n", + "2023-11-12 14:53:12.886784 SS1 transformer MNT00000325 0.0 \n", + "2023-11-12 14:53:12.886928 SS1 transformer MNT00000325 11.371944 \n", + "2023-11-12 14:53:12.887045 WTG_0507 rotor_blades RPR00000382 0.25 \n", + "2023-11-12 14:53:12.887052 WTG_0507 rotor_blades RPR00000382 0.0 \n", + "2023-11-12 14:53:12.887124 WTG_0507 rotor_blades RPR00000382 0.0 \n", + "2023-11-12 14:53:12.887882 SS2 transformer MNT00000326 0.467544 \n", + "2023-11-12 14:53:12.888106 SS2 transformer MNT00000326 0.0 \n", + "2023-11-12 14:53:12.888216 SS2 transformer MNT00000326 0.25 \n", + "2023-11-12 14:53:12.888222 SS2 transformer MNT00000326 0.0 \n", + "2023-11-12 14:53:12.888336 SS2 transformer MNT00000326 10.173333 \n", + "2023-11-12 14:53:12.888613 WTG_0505 hydraulic_system RPR00000358 0.25 \n", + "2023-11-12 14:53:12.888683 WTG_0409 hydraulic_system RPR00000319 0.25 \n", + "2023-11-12 14:53:12.888689 WTG_0505 hydraulic_system RPR00000358 0.0 \n", + "2023-11-12 14:53:12.888739 WTG_0505 hydraulic_system RPR00000358 0.0 \n", + "2023-11-12 14:53:12.889295 WTG_0409 hydraulic_system RPR00000319 0.0 " ] }, "execution_count": 20, @@ -3329,7 +3329,7 @@ " \n", " \n", " \n", - " 2023-10-26 11:50:37.673305\n", + " 2023-11-12 14:53:12.769479\n", " 2003-01-01 00:00:00\n", " transformer\n", " maintenance request\n", @@ -3341,7 +3341,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.782602\n", + " 2023-11-12 14:53:12.886489\n", " 2003-01-20 09:54:56\n", " Crew Transfer Vessel 2\n", " traveling\n", @@ -3353,7 +3353,7 @@ " 0.212317\n", " \n", " \n", - " 2023-10-26 11:50:37.782679\n", + " 2023-11-12 14:53:12.886659\n", " 2003-01-20 10:07:41\n", " Crew Transfer Vessel 2\n", " complete travel\n", @@ -3365,7 +3365,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.782775\n", + " 2023-11-12 14:53:12.886778\n", " 2003-01-20 10:07:41\n", " Crew Transfer Vessel 2\n", " transferring crew\n", @@ -3377,7 +3377,7 @@ " 0.25\n", " \n", " \n", - " 2023-10-26 11:50:37.782781\n", + " 2023-11-12 14:53:12.886784\n", " 2003-01-20 10:22:41\n", " Crew Transfer Vessel 2\n", " complete transfer\n", @@ -3389,7 +3389,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.782876\n", + " 2023-11-12 14:53:12.886928\n", " 2003-01-20 10:22:41\n", " Crew Transfer Vessel 2\n", " maintenance\n", @@ -3401,7 +3401,7 @@ " 11.371944\n", " \n", " \n", - " 2023-10-26 11:50:37.789377\n", + " 2023-11-12 14:53:12.894327\n", " 2003-01-20 21:45:00\n", " Crew Transfer Vessel 2\n", " transferring crew\n", @@ -3413,7 +3413,7 @@ " 0.25\n", " \n", " \n", - " 2023-10-26 11:50:37.789925\n", + " 2023-11-12 14:53:12.894928\n", " 2003-01-20 22:00:00\n", " Crew Transfer Vessel 2\n", " complete transfer\n", @@ -3425,7 +3425,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.790052\n", + " 2023-11-12 14:53:12.895074\n", " 2003-01-20 22:00:00\n", " Crew Transfer Vessel 2\n", " traveling\n", @@ -3437,7 +3437,7 @@ " 1.809738\n", " \n", " \n", - " 2023-10-26 11:50:37.790836\n", + " 2023-11-12 14:53:12.895932\n", " 2003-01-20 23:48:35\n", " Crew Transfer Vessel 2\n", " complete travel\n", @@ -3449,7 +3449,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.790848\n", + " 2023-11-12 14:53:12.895947\n", " 2003-01-20 23:48:35\n", " Crew Transfer Vessel 2\n", " delay\n", @@ -3461,7 +3461,7 @@ " 6.190278\n", " \n", " \n", - " 2023-10-26 11:50:37.791487\n", + " 2023-11-12 14:53:12.896617\n", " 2003-01-21 06:00:00\n", " Crew Transfer Vessel 2\n", " traveling\n", @@ -3473,7 +3473,7 @@ " 1.809753\n", " \n", " \n", - " 2023-10-26 11:50:37.792490\n", + " 2023-11-12 14:53:12.897674\n", " 2003-01-21 07:48:35\n", " Crew Transfer Vessel 2\n", " complete travel\n", @@ -3485,7 +3485,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.792561\n", + " 2023-11-12 14:53:12.897758\n", " 2003-01-21 07:48:35\n", " Crew Transfer Vessel 2\n", " transferring crew\n", @@ -3497,7 +3497,7 @@ " 0.25\n", " \n", " \n", - " 2023-10-26 11:50:37.793031\n", + " 2023-11-12 14:53:12.898282\n", " 2003-01-21 08:03:35\n", " Crew Transfer Vessel 2\n", " complete transfer\n", @@ -3509,7 +3509,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.793140\n", + " 2023-11-12 14:53:12.898435\n", " 2003-01-21 08:03:35\n", " Crew Transfer Vessel 2\n", " maintenance\n", @@ -3521,7 +3521,7 @@ " 8.940278\n", " \n", " \n", - " 2023-10-26 11:50:37.797296\n", + " 2023-11-12 14:53:12.903548\n", " 2003-01-21 17:00:00\n", " Crew Transfer Vessel 2\n", " delay\n", @@ -3533,7 +3533,7 @@ " 6.0\n", " \n", " \n", - " 2023-10-26 11:50:37.798315\n", + " 2023-11-12 14:53:12.904850\n", " 2003-01-21 23:00:00\n", " Crew Transfer Vessel 2\n", " traveling\n", @@ -3545,7 +3545,7 @@ " 1.809784\n", " \n", " \n", - " 2023-10-26 11:50:37.799411\n", + " 2023-11-12 14:53:12.906059\n", " 2003-01-22 00:48:35\n", " Crew Transfer Vessel 2\n", " complete travel\n", @@ -3557,7 +3557,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.799420\n", + " 2023-11-12 14:53:12.906068\n", " 2003-01-22 00:48:35\n", " Crew Transfer Vessel 2\n", " delay\n", @@ -3569,7 +3569,7 @@ " 21.190216\n", " \n", " \n", - " 2023-10-26 11:50:37.800941\n", + " 2023-11-12 14:53:12.907665\n", " 2003-01-22 22:00:00\n", " Crew Transfer Vessel 2\n", " delay\n", @@ -3581,7 +3581,7 @@ " 8.0\n", " \n", " \n", - " 2023-10-26 11:50:37.801978\n", + " 2023-11-12 14:53:12.908729\n", " 2003-01-23 06:00:00\n", " Crew Transfer Vessel 2\n", " traveling\n", @@ -3593,7 +3593,7 @@ " 1.809784\n", " \n", " \n", - " 2023-10-26 11:50:37.802952\n", + " 2023-11-12 14:53:12.909750\n", " 2003-01-23 07:48:35\n", " Crew Transfer Vessel 2\n", " complete travel\n", @@ -3605,7 +3605,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.803133\n", + " 2023-11-12 14:53:12.909936\n", " 2003-01-23 07:48:35\n", " Crew Transfer Vessel 2\n", " traveling\n", @@ -3617,7 +3617,7 @@ " 1.619568\n", " \n", " \n", - " 2023-10-26 11:50:37.804207\n", + " 2023-11-12 14:53:12.911021\n", " 2003-01-23 09:25:46\n", " Crew Transfer Vessel 2\n", " complete travel\n", @@ -3629,7 +3629,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.804216\n", + " 2023-11-12 14:53:12.911030\n", " 2003-01-23 09:25:46\n", " Crew Transfer Vessel 2\n", " delay\n", @@ -3641,7 +3641,7 @@ " 12.57071\n", " \n", " \n", - " 2023-10-26 11:50:37.805191\n", + " 2023-11-12 14:53:12.912005\n", " 2003-01-23 22:00:00\n", " Crew Transfer Vessel 2\n", " delay\n", @@ -3653,7 +3653,7 @@ " 8.0\n", " \n", " \n", - " 2023-10-26 11:50:37.806380\n", + " 2023-11-12 14:53:12.913219\n", " 2003-01-24 06:00:00\n", " Crew Transfer Vessel 2\n", " traveling\n", @@ -3665,7 +3665,7 @@ " 1.809845\n", " \n", " \n", - " 2023-10-26 11:50:37.807524\n", + " 2023-11-12 14:53:12.914821\n", " 2003-01-24 07:48:36\n", " Crew Transfer Vessel 2\n", " complete travel\n", @@ -3677,7 +3677,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.807700\n", + " 2023-11-12 14:53:12.914998\n", " 2003-01-24 07:48:36\n", " Crew Transfer Vessel 2\n", " traveling\n", @@ -3689,7 +3689,7 @@ " 1.619691\n", " \n", " \n", - " 2023-10-26 11:50:37.808264\n", + " 2023-11-12 14:53:12.915668\n", " 2003-01-24 09:25:47\n", " Crew Transfer Vessel 2\n", " complete travel\n", @@ -3701,7 +3701,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.808273\n", + " 2023-11-12 14:53:12.915677\n", " 2003-01-24 09:25:47\n", " Crew Transfer Vessel 2\n", " delay\n", @@ -3713,7 +3713,7 @@ " 12.570309\n", " \n", " \n", - " 2023-10-26 11:50:37.809212\n", + " 2023-11-12 14:53:12.916673\n", " 2003-01-24 22:00:00\n", " Crew Transfer Vessel 2\n", " delay\n", @@ -3725,7 +3725,7 @@ " 8.0\n", " \n", " \n", - " 2023-10-26 11:50:37.809940\n", + " 2023-11-12 14:53:12.917473\n", " 2003-01-25 06:00:00\n", " Crew Transfer Vessel 2\n", " traveling\n", @@ -3737,7 +3737,7 @@ " 1.809691\n", " \n", " \n", - " 2023-10-26 11:50:37.810854\n", + " 2023-11-12 14:53:12.918419\n", " 2003-01-25 07:48:35\n", " Crew Transfer Vessel 2\n", " complete travel\n", @@ -3749,7 +3749,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.811034\n", + " 2023-11-12 14:53:12.918608\n", " 2003-01-25 07:48:35\n", " Crew Transfer Vessel 2\n", " traveling\n", @@ -3761,7 +3761,7 @@ " 1.619381\n", " \n", " \n", - " 2023-10-26 11:50:37.812268\n", + " 2023-11-12 14:53:12.919845\n", " 2003-01-25 09:25:44\n", " Crew Transfer Vessel 2\n", " complete travel\n", @@ -3773,7 +3773,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.812279\n", + " 2023-11-12 14:53:12.919856\n", " 2003-01-25 09:25:44\n", " Crew Transfer Vessel 2\n", " delay\n", @@ -3785,7 +3785,7 @@ " 12.570897\n", " \n", " \n", - " 2023-10-26 11:50:37.813264\n", + " 2023-11-12 14:53:12.920876\n", " 2003-01-25 22:00:00\n", " Crew Transfer Vessel 2\n", " delay\n", @@ -3797,7 +3797,7 @@ " 8.0\n", " \n", " \n", - " 2023-10-26 11:50:37.814208\n", + " 2023-11-12 14:53:12.921859\n", " 2003-01-26 06:00:00\n", " Crew Transfer Vessel 2\n", " traveling\n", @@ -3809,7 +3809,7 @@ " 1.809659\n", " \n", " \n", - " 2023-10-26 11:50:37.815114\n", + " 2023-11-12 14:53:12.922783\n", " 2003-01-26 07:48:34\n", " Crew Transfer Vessel 2\n", " complete travel\n", @@ -3821,7 +3821,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.815292\n", + " 2023-11-12 14:53:12.922965\n", " 2003-01-26 07:48:34\n", " Crew Transfer Vessel 2\n", " traveling\n", @@ -3833,7 +3833,7 @@ " 1.619318\n", " \n", " \n", - " 2023-10-26 11:50:37.816522\n", + " 2023-11-12 14:53:12.924722\n", " 2003-01-26 09:25:44\n", " Crew Transfer Vessel 2\n", " complete travel\n", @@ -3845,7 +3845,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.816533\n", + " 2023-11-12 14:53:12.924738\n", " 2003-01-26 09:25:44\n", " Crew Transfer Vessel 2\n", " delay\n", @@ -3857,7 +3857,7 @@ " 12.571238\n", " \n", " \n", - " 2023-10-26 11:50:37.817601\n", + " 2023-11-12 14:53:12.925979\n", " 2003-01-26 22:00:00\n", " Crew Transfer Vessel 2\n", " delay\n", @@ -3869,7 +3869,7 @@ " 8.0\n", " \n", " \n", - " 2023-10-26 11:50:37.819148\n", + " 2023-11-12 14:53:12.927768\n", " 2003-01-27 06:00:00\n", " Crew Transfer Vessel 2\n", " traveling\n", @@ -3881,7 +3881,7 @@ " 1.809874\n", " \n", " \n", - " 2023-10-26 11:50:37.820516\n", + " 2023-11-12 14:53:12.929314\n", " 2003-01-27 07:48:36\n", " Crew Transfer Vessel 2\n", " complete travel\n", @@ -3893,7 +3893,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.820690\n", + " 2023-11-12 14:53:12.929497\n", " 2003-01-27 07:48:36\n", " Crew Transfer Vessel 2\n", " traveling\n", @@ -3905,7 +3905,7 @@ " 1.619747\n", " \n", " \n", - " 2023-10-26 11:50:37.820922\n", + " 2023-11-12 14:53:12.929752\n", " 2003-01-27 09:25:47\n", " Crew Transfer Vessel 2\n", " complete travel\n", @@ -3917,7 +3917,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.820930\n", + " 2023-11-12 14:53:12.929760\n", " 2003-01-27 09:25:47\n", " Crew Transfer Vessel 2\n", " delay\n", @@ -3929,7 +3929,7 @@ " 12.570253\n", " \n", " \n", - " 2023-10-26 11:50:37.821786\n", + " 2023-11-12 14:53:12.930638\n", " 2003-01-27 22:00:00\n", " Crew Transfer Vessel 2\n", " delay\n", @@ -3941,7 +3941,7 @@ " 8.0\n", " \n", " \n", - " 2023-10-26 11:50:37.822686\n", + " 2023-11-12 14:53:12.931557\n", " 2003-01-28 06:00:00\n", " Crew Transfer Vessel 2\n", " traveling\n", @@ -3953,7 +3953,7 @@ " 1.809747\n", " \n", " \n", - " 2023-10-26 11:50:37.823648\n", + " 2023-11-12 14:53:12.932580\n", " 2003-01-28 07:48:35\n", " Crew Transfer Vessel 2\n", " complete travel\n", @@ -3965,7 +3965,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.823821\n", + " 2023-11-12 14:53:12.932758\n", " 2003-01-28 07:48:35\n", " Crew Transfer Vessel 2\n", " traveling\n", @@ -3977,7 +3977,7 @@ " 1.619494\n", " \n", " \n", - " 2023-10-26 11:50:37.824897\n", + " 2023-11-12 14:53:12.933868\n", " 2003-01-28 09:25:45\n", " Crew Transfer Vessel 2\n", " complete travel\n", @@ -3989,7 +3989,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.824907\n", + " 2023-11-12 14:53:12.933877\n", " 2003-01-28 09:25:45\n", " Crew Transfer Vessel 2\n", " delay\n", @@ -4001,7 +4001,7 @@ " 12.570784\n", " \n", " \n", - " 2023-10-26 11:50:37.825943\n", + " 2023-11-12 14:53:12.935006\n", " 2003-01-28 22:00:00\n", " Crew Transfer Vessel 2\n", " delay\n", @@ -4013,7 +4013,7 @@ " 8.0\n", " \n", " \n", - " 2023-10-26 11:50:37.826669\n", + " 2023-11-12 14:53:12.935853\n", " 2003-01-29 06:00:00\n", " Crew Transfer Vessel 2\n", " traveling\n", @@ -4025,7 +4025,7 @@ " 1.809772\n", " \n", " \n", - " 2023-10-26 11:50:37.827725\n", + " 2023-11-12 14:53:12.936955\n", " 2003-01-29 07:48:35\n", " Crew Transfer Vessel 2\n", " complete travel\n", @@ -4037,7 +4037,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.827793\n", + " 2023-11-12 14:53:12.937039\n", " 2003-01-29 07:48:35\n", " Crew Transfer Vessel 2\n", " delay\n", @@ -4049,7 +4049,7 @@ " 12.190278\n", " \n", " \n", - " 2023-10-26 11:50:37.829335\n", + " 2023-11-12 14:53:12.938709\n", " 2003-01-29 20:00:00\n", " Crew Transfer Vessel 2\n", " transferring crew\n", @@ -4061,7 +4061,7 @@ " 0.25\n", " \n", " \n", - " 2023-10-26 11:50:37.829833\n", + " 2023-11-12 14:53:12.945092\n", " 2003-01-29 20:15:00\n", " Crew Transfer Vessel 2\n", " complete transfer\n", @@ -4073,7 +4073,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.829963\n", + " 2023-11-12 14:53:12.945230\n", " 2003-01-29 20:15:00\n", " Crew Transfer Vessel 2\n", " traveling\n", @@ -4085,7 +4085,7 @@ " 1.059822\n", " \n", " \n", - " 2023-10-26 11:50:37.830627\n", + " 2023-11-12 14:53:12.945917\n", " 2003-01-29 21:18:35\n", " Crew Transfer Vessel 2\n", " complete travel\n", @@ -4097,7 +4097,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.830638\n", + " 2023-11-12 14:53:12.945928\n", " 2003-01-29 21:18:35\n", " Crew Transfer Vessel 2\n", " delay\n", @@ -4109,7 +4109,7 @@ " 8.690278\n", " \n", " \n", - " 2023-10-26 11:50:37.832317\n", + " 2023-11-12 14:53:12.947692\n", " 2003-01-30 06:00:00\n", " Crew Transfer Vessel 2\n", " traveling\n", @@ -4121,7 +4121,7 @@ " 1.809921\n", " \n", " \n", - " 2023-10-26 11:50:37.832876\n", + " 2023-11-12 14:53:12.948275\n", " 2003-01-30 07:48:36\n", " Crew Transfer Vessel 2\n", " complete travel\n", @@ -4133,7 +4133,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.832935\n", + " 2023-11-12 14:53:12.948338\n", " 2003-01-30 07:48:36\n", " Crew Transfer Vessel 2\n", " delay\n", @@ -4145,7 +4145,7 @@ " 4.19\n", " \n", " \n", - " 2023-10-26 11:50:37.833433\n", + " 2023-11-12 14:53:12.948936\n", " 2003-01-30 12:00:00\n", " Crew Transfer Vessel 2\n", " transferring crew\n", @@ -4157,7 +4157,7 @@ " 0.25\n", " \n", " \n", - " 2023-10-26 11:50:37.834529\n", + " 2023-11-12 14:53:12.951240\n", " 2003-01-30 12:15:00\n", " Crew Transfer Vessel 2\n", " complete transfer\n", @@ -4169,7 +4169,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.834644\n", + " 2023-11-12 14:53:12.953013\n", " 2003-01-30 12:15:00\n", " Crew Transfer Vessel 2\n", " maintenance\n", @@ -4181,7 +4181,7 @@ " 3.687778\n", " \n", " \n", - " 2023-10-26 11:50:37.838395\n", + " 2023-11-12 14:53:12.957675\n", " 2003-01-30 15:56:16\n", " Crew Transfer Vessel 2\n", " transferring crew\n", @@ -4193,7 +4193,7 @@ " 0.25\n", " \n", " \n", - " 2023-10-26 11:50:37.838738\n", + " 2023-11-12 14:53:12.958034\n", " 2003-01-30 16:11:16\n", " Crew Transfer Vessel 2\n", " complete transfer\n", @@ -4205,7 +4205,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.838755\n", + " 2023-11-12 14:53:12.958052\n", " 2003-01-30 16:11:16\n", " Crew Transfer Vessel 2\n", " maintenance complete\n", @@ -4223,311 +4223,311 @@ "text/plain": [ " env_datetime agent \\\n", "datetime \n", - "2023-10-26 11:50:37.673305 2003-01-01 00:00:00 transformer \n", - "2023-10-26 11:50:37.782602 2003-01-20 09:54:56 Crew Transfer Vessel 2 \n", - "2023-10-26 11:50:37.782679 2003-01-20 10:07:41 Crew Transfer Vessel 2 \n", - "2023-10-26 11:50:37.782775 2003-01-20 10:07:41 Crew Transfer Vessel 2 \n", - "2023-10-26 11:50:37.782781 2003-01-20 10:22:41 Crew Transfer Vessel 2 \n", - "2023-10-26 11:50:37.782876 2003-01-20 10:22:41 Crew Transfer Vessel 2 \n", - "2023-10-26 11:50:37.789377 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2003-01-29 20:00:00 Crew Transfer Vessel 2 \n", + "2023-11-12 14:53:12.945092 2003-01-29 20:15:00 Crew Transfer Vessel 2 \n", + "2023-11-12 14:53:12.945230 2003-01-29 20:15:00 Crew Transfer Vessel 2 \n", + "2023-11-12 14:53:12.945917 2003-01-29 21:18:35 Crew Transfer Vessel 2 \n", + "2023-11-12 14:53:12.945928 2003-01-29 21:18:35 Crew Transfer Vessel 2 \n", + "2023-11-12 14:53:12.947692 2003-01-30 06:00:00 Crew Transfer Vessel 2 \n", + "2023-11-12 14:53:12.948275 2003-01-30 07:48:36 Crew Transfer Vessel 2 \n", + "2023-11-12 14:53:12.948338 2003-01-30 07:48:36 Crew Transfer Vessel 2 \n", + "2023-11-12 14:53:12.948936 2003-01-30 12:00:00 Crew Transfer Vessel 2 \n", + "2023-11-12 14:53:12.951240 2003-01-30 12:15:00 Crew Transfer Vessel 2 \n", + "2023-11-12 14:53:12.953013 2003-01-30 12:15:00 Crew Transfer Vessel 2 \n", + "2023-11-12 14:53:12.957675 2003-01-30 15:56:16 Crew Transfer Vessel 2 \n", + "2023-11-12 14:53:12.958034 2003-01-30 16:11:16 Crew Transfer Vessel 2 \n", + "2023-11-12 14:53:12.958052 2003-01-30 16:11:16 Crew Transfer Vessel 2 \n", "\n", " action reason \\\n", "datetime \n", - "2023-10-26 11:50:37.673305 maintenance request oss annual inspection \n", - "2023-10-26 11:50:37.782602 traveling oss annual inspection \n", - "2023-10-26 11:50:37.782679 complete travel oss annual inspection \n", - "2023-10-26 11:50:37.782775 transferring crew oss annual inspection \n", - "2023-10-26 11:50:37.782781 complete transfer oss annual inspection \n", - "2023-10-26 11:50:37.782876 maintenance oss annual inspection \n", - "2023-10-26 11:50:37.789377 transferring crew oss annual inspection \n", - "2023-10-26 11:50:37.789925 complete transfer oss annual inspection \n", - "2023-10-26 11:50:37.790052 traveling oss annual inspection \n", - "2023-10-26 11:50:37.790836 complete travel oss annual inspection \n", - "2023-10-26 11:50:37.790848 delay oss annual inspection \n", - "2023-10-26 11:50:37.791487 traveling oss annual inspection \n", - "2023-10-26 11:50:37.792490 complete travel oss annual inspection \n", - "2023-10-26 11:50:37.792561 transferring crew oss annual inspection \n", - "2023-10-26 11:50:37.793031 complete transfer oss annual inspection \n", - "2023-10-26 11:50:37.793140 maintenance oss annual inspection \n", - "2023-10-26 11:50:37.797296 delay oss annual inspection \n", - "2023-10-26 11:50:37.798315 traveling oss annual inspection \n", - "2023-10-26 11:50:37.799411 complete travel oss annual inspection \n", - "2023-10-26 11:50:37.799420 delay oss annual inspection \n", - "2023-10-26 11:50:37.800941 delay oss annual inspection \n", - "2023-10-26 11:50:37.801978 traveling oss annual inspection \n", - "2023-10-26 11:50:37.802952 complete travel oss annual inspection \n", - "2023-10-26 11:50:37.803133 traveling oss annual inspection \n", - "2023-10-26 11:50:37.804207 complete travel oss annual inspection \n", - "2023-10-26 11:50:37.804216 delay oss annual inspection \n", - "2023-10-26 11:50:37.805191 delay oss annual inspection \n", - "2023-10-26 11:50:37.806380 traveling oss annual inspection \n", - "2023-10-26 11:50:37.807524 complete travel oss annual inspection \n", - "2023-10-26 11:50:37.807700 traveling oss annual inspection \n", - "2023-10-26 11:50:37.808264 complete travel oss annual inspection \n", - "2023-10-26 11:50:37.808273 delay oss annual inspection \n", - "2023-10-26 11:50:37.809212 delay oss annual inspection \n", - "2023-10-26 11:50:37.809940 traveling oss annual inspection \n", - "2023-10-26 11:50:37.810854 complete travel oss annual inspection \n", - "2023-10-26 11:50:37.811034 traveling oss annual inspection \n", - "2023-10-26 11:50:37.812268 complete travel oss annual inspection \n", - "2023-10-26 11:50:37.812279 delay oss annual inspection \n", - "2023-10-26 11:50:37.813264 delay oss annual inspection \n", - "2023-10-26 11:50:37.814208 traveling oss annual inspection \n", - "2023-10-26 11:50:37.815114 complete travel oss annual inspection \n", - "2023-10-26 11:50:37.815292 traveling oss annual inspection \n", - "2023-10-26 11:50:37.816522 complete travel oss annual inspection \n", - "2023-10-26 11:50:37.816533 delay oss annual inspection \n", - "2023-10-26 11:50:37.817601 delay oss annual inspection \n", - "2023-10-26 11:50:37.819148 traveling oss annual inspection \n", - "2023-10-26 11:50:37.820516 complete travel oss annual inspection \n", - "2023-10-26 11:50:37.820690 traveling oss annual inspection \n", - "2023-10-26 11:50:37.820922 complete travel oss annual inspection \n", - "2023-10-26 11:50:37.820930 delay oss annual inspection \n", - "2023-10-26 11:50:37.821786 delay oss annual inspection \n", - "2023-10-26 11:50:37.822686 traveling oss annual inspection \n", - "2023-10-26 11:50:37.823648 complete travel oss annual inspection \n", - "2023-10-26 11:50:37.823821 traveling oss annual inspection \n", - "2023-10-26 11:50:37.824897 complete travel oss annual inspection \n", - "2023-10-26 11:50:37.824907 delay oss annual inspection \n", - "2023-10-26 11:50:37.825943 delay oss annual inspection \n", - "2023-10-26 11:50:37.826669 traveling oss annual inspection \n", - "2023-10-26 11:50:37.827725 complete travel oss annual inspection \n", - "2023-10-26 11:50:37.827793 delay oss annual inspection \n", - "2023-10-26 11:50:37.829335 transferring crew oss annual inspection \n", - "2023-10-26 11:50:37.829833 complete transfer oss annual inspection \n", - "2023-10-26 11:50:37.829963 traveling oss annual inspection \n", - "2023-10-26 11:50:37.830627 complete travel oss annual inspection \n", - "2023-10-26 11:50:37.830638 delay oss annual inspection \n", - "2023-10-26 11:50:37.832317 traveling oss annual inspection \n", - "2023-10-26 11:50:37.832876 complete travel oss annual inspection \n", - "2023-10-26 11:50:37.832935 delay oss annual inspection \n", - "2023-10-26 11:50:37.833433 transferring crew oss annual inspection \n", - "2023-10-26 11:50:37.834529 complete transfer oss annual inspection \n", - "2023-10-26 11:50:37.834644 maintenance oss annual inspection \n", - "2023-10-26 11:50:37.838395 transferring crew oss annual inspection \n", - "2023-10-26 11:50:37.838738 complete transfer oss annual inspection \n", - "2023-10-26 11:50:37.838755 maintenance complete oss annual inspection \n", + "2023-11-12 14:53:12.769479 maintenance request oss annual inspection \n", + "2023-11-12 14:53:12.886489 traveling oss annual inspection \n", + "2023-11-12 14:53:12.886659 complete travel oss annual inspection \n", + "2023-11-12 14:53:12.886778 transferring crew oss annual inspection \n", + "2023-11-12 14:53:12.886784 complete transfer oss annual inspection \n", + "2023-11-12 14:53:12.886928 maintenance oss annual inspection \n", + "2023-11-12 14:53:12.894327 transferring crew oss annual inspection \n", + "2023-11-12 14:53:12.894928 complete transfer oss annual inspection \n", + "2023-11-12 14:53:12.895074 traveling oss annual inspection \n", + "2023-11-12 14:53:12.895932 complete travel oss annual inspection \n", + "2023-11-12 14:53:12.895947 delay oss annual inspection \n", + "2023-11-12 14:53:12.896617 traveling oss annual inspection \n", + "2023-11-12 14:53:12.897674 complete travel oss annual inspection \n", + "2023-11-12 14:53:12.897758 transferring crew oss annual inspection \n", + "2023-11-12 14:53:12.898282 complete transfer oss annual inspection \n", + "2023-11-12 14:53:12.898435 maintenance oss annual inspection \n", + "2023-11-12 14:53:12.903548 delay oss annual inspection \n", + "2023-11-12 14:53:12.904850 traveling oss annual inspection \n", + "2023-11-12 14:53:12.906059 complete travel oss annual inspection \n", + "2023-11-12 14:53:12.906068 delay oss annual inspection \n", + "2023-11-12 14:53:12.907665 delay oss annual inspection \n", + "2023-11-12 14:53:12.908729 traveling oss annual inspection \n", + "2023-11-12 14:53:12.909750 complete travel oss annual inspection \n", + "2023-11-12 14:53:12.909936 traveling oss annual inspection \n", + "2023-11-12 14:53:12.911021 complete travel oss annual inspection \n", + "2023-11-12 14:53:12.911030 delay oss annual inspection \n", + "2023-11-12 14:53:12.912005 delay oss annual inspection \n", + "2023-11-12 14:53:12.913219 traveling oss annual inspection \n", + "2023-11-12 14:53:12.914821 complete travel oss annual inspection \n", + "2023-11-12 14:53:12.914998 traveling oss annual inspection \n", + "2023-11-12 14:53:12.915668 complete travel oss annual inspection \n", + "2023-11-12 14:53:12.915677 delay oss annual inspection \n", + "2023-11-12 14:53:12.916673 delay oss annual inspection \n", + "2023-11-12 14:53:12.917473 traveling oss annual inspection \n", + "2023-11-12 14:53:12.918419 complete travel oss annual inspection \n", + "2023-11-12 14:53:12.918608 traveling oss annual inspection \n", + "2023-11-12 14:53:12.919845 complete travel oss annual inspection \n", + "2023-11-12 14:53:12.919856 delay oss annual inspection \n", + "2023-11-12 14:53:12.920876 delay oss annual inspection \n", + "2023-11-12 14:53:12.921859 traveling oss annual inspection \n", + "2023-11-12 14:53:12.922783 complete travel oss annual inspection \n", + "2023-11-12 14:53:12.922965 traveling oss annual inspection \n", + "2023-11-12 14:53:12.924722 complete travel oss annual inspection \n", + "2023-11-12 14:53:12.924738 delay oss annual inspection \n", + "2023-11-12 14:53:12.925979 delay oss annual inspection \n", + "2023-11-12 14:53:12.927768 traveling oss annual inspection \n", + "2023-11-12 14:53:12.929314 complete travel oss annual inspection \n", + "2023-11-12 14:53:12.929497 traveling oss annual inspection \n", + "2023-11-12 14:53:12.929752 complete travel oss annual inspection \n", + "2023-11-12 14:53:12.929760 delay oss annual inspection \n", + "2023-11-12 14:53:12.930638 delay oss annual inspection \n", + "2023-11-12 14:53:12.931557 traveling oss annual inspection \n", + "2023-11-12 14:53:12.932580 complete travel oss annual inspection \n", + "2023-11-12 14:53:12.932758 traveling oss annual inspection \n", + "2023-11-12 14:53:12.933868 complete travel oss annual inspection \n", + "2023-11-12 14:53:12.933877 delay oss annual inspection \n", + "2023-11-12 14:53:12.935006 delay oss annual inspection \n", + "2023-11-12 14:53:12.935853 traveling oss annual inspection \n", + "2023-11-12 14:53:12.936955 complete travel oss annual inspection \n", + "2023-11-12 14:53:12.937039 delay oss annual inspection \n", + "2023-11-12 14:53:12.938709 transferring crew oss annual inspection \n", + "2023-11-12 14:53:12.945092 complete transfer oss annual inspection \n", + "2023-11-12 14:53:12.945230 traveling oss annual inspection \n", + "2023-11-12 14:53:12.945917 complete travel oss annual inspection \n", + "2023-11-12 14:53:12.945928 delay oss annual inspection \n", + "2023-11-12 14:53:12.947692 traveling oss annual inspection \n", + "2023-11-12 14:53:12.948275 complete travel oss annual inspection \n", + "2023-11-12 14:53:12.948338 delay oss annual inspection \n", + "2023-11-12 14:53:12.948936 transferring crew oss annual inspection \n", + "2023-11-12 14:53:12.951240 complete transfer oss annual inspection \n", + "2023-11-12 14:53:12.953013 maintenance oss annual inspection \n", + "2023-11-12 14:53:12.957675 transferring crew oss annual inspection \n", + "2023-11-12 14:53:12.958034 complete transfer oss annual inspection \n", + "2023-11-12 14:53:12.958052 maintenance complete oss annual inspection \n", "\n", " additional \\\n", "datetime \n", - "2023-10-26 11:50:37.673305 severity level 1 \n", - "2023-10-26 11:50:37.782602 traveling from WTG_0500 to SS1 \n", - "2023-10-26 11:50:37.782679 arrived at SS1 \n", - "2023-10-26 11:50:37.782775 transferring crew from Crew Transfer Vessel 2 ... \n", - "2023-10-26 11:50:37.782781 complete \n", - "2023-10-26 11:50:37.782876 maintenance \n", - "2023-10-26 11:50:37.789377 transferring crew from SS1 to Crew Transfer Ve... \n", - "2023-10-26 11:50:37.789925 complete \n", - "2023-10-26 11:50:37.790052 traveling from site to port \n", - "2023-10-26 11:50:37.790836 arrived at port \n", - "2023-10-26 11:50:37.790848 work shift has ended; waiting for next shift t... \n", - "2023-10-26 11:50:37.791487 traveling from port to site \n", - "2023-10-26 11:50:37.792490 arrived at SS1 \n", - "2023-10-26 11:50:37.792561 transferring crew from Crew Transfer Vessel 2 ... \n", - "2023-10-26 11:50:37.793031 complete \n", - "2023-10-26 11:50:37.793140 maintenance \n", - "2023-10-26 11:50:37.797296 weather delay \n", - "2023-10-26 11:50:37.798315 traveling from site to port \n", - "2023-10-26 11:50:37.799411 arrived at port \n", - "2023-10-26 11:50:37.799420 weather delay \n", - "2023-10-26 11:50:37.800941 weather unsuitable to transfer crew \n", - "2023-10-26 11:50:37.801978 traveling from port to site \n", - "2023-10-26 11:50:37.802952 arrived at SS1 \n", - "2023-10-26 11:50:37.803133 traveling from site to port \n", - "2023-10-26 11:50:37.804207 arrived at port \n", - "2023-10-26 11:50:37.804216 weather delay \n", - "2023-10-26 11:50:37.805191 weather unsuitable to transfer crew \n", - "2023-10-26 11:50:37.806380 traveling from port to site \n", - "2023-10-26 11:50:37.807524 arrived at SS1 \n", - "2023-10-26 11:50:37.807700 traveling from site to port \n", - "2023-10-26 11:50:37.808264 arrived at port \n", - "2023-10-26 11:50:37.808273 weather delay \n", - "2023-10-26 11:50:37.809212 weather unsuitable to transfer crew \n", - "2023-10-26 11:50:37.809940 traveling from port to site \n", - "2023-10-26 11:50:37.810854 arrived at SS1 \n", - "2023-10-26 11:50:37.811034 traveling from site to port \n", - "2023-10-26 11:50:37.812268 arrived at port \n", - "2023-10-26 11:50:37.812279 weather delay \n", - "2023-10-26 11:50:37.813264 weather unsuitable to transfer crew \n", - "2023-10-26 11:50:37.814208 traveling from port to site \n", - "2023-10-26 11:50:37.815114 arrived at SS1 \n", - "2023-10-26 11:50:37.815292 traveling from site to port \n", - "2023-10-26 11:50:37.816522 arrived at port \n", - "2023-10-26 11:50:37.816533 weather delay \n", - "2023-10-26 11:50:37.817601 weather unsuitable to transfer crew \n", - "2023-10-26 11:50:37.819148 traveling from port to site \n", - "2023-10-26 11:50:37.820516 arrived at SS1 \n", - "2023-10-26 11:50:37.820690 traveling from site to port \n", - "2023-10-26 11:50:37.820922 arrived at port \n", - "2023-10-26 11:50:37.820930 weather delay \n", - "2023-10-26 11:50:37.821786 weather unsuitable to transfer crew \n", - "2023-10-26 11:50:37.822686 traveling from port to site \n", - "2023-10-26 11:50:37.823648 arrived at SS1 \n", - "2023-10-26 11:50:37.823821 traveling from site to port \n", - "2023-10-26 11:50:37.824897 arrived at port \n", - "2023-10-26 11:50:37.824907 weather delay \n", - "2023-10-26 11:50:37.825943 weather unsuitable to transfer crew \n", - "2023-10-26 11:50:37.826669 traveling from port to site \n", - "2023-10-26 11:50:37.827725 arrived at SS1 \n", - "2023-10-26 11:50:37.827793 weather delay \n", - "2023-10-26 11:50:37.829335 transferring crew from SS1 to Crew Transfer Ve... \n", - "2023-10-26 11:50:37.829833 complete \n", - "2023-10-26 11:50:37.829963 traveling from site to port \n", - "2023-10-26 11:50:37.830627 arrived at port \n", - "2023-10-26 11:50:37.830638 work shift has ended; waiting for next shift t... \n", - "2023-10-26 11:50:37.832317 traveling from port to site \n", - "2023-10-26 11:50:37.832876 arrived at SS1 \n", - "2023-10-26 11:50:37.832935 weather delay \n", - "2023-10-26 11:50:37.833433 transferring crew from Crew Transfer Vessel 2 ... \n", - "2023-10-26 11:50:37.834529 complete \n", - "2023-10-26 11:50:37.834644 maintenance \n", - "2023-10-26 11:50:37.838395 transferring crew from SS1 to Crew Transfer Ve... \n", - "2023-10-26 11:50:37.838738 complete \n", - "2023-10-26 11:50:37.838755 complete \n", + "2023-11-12 14:53:12.769479 severity level 1 \n", + "2023-11-12 14:53:12.886489 traveling from WTG_0500 to SS1 \n", + "2023-11-12 14:53:12.886659 arrived at SS1 \n", + "2023-11-12 14:53:12.886778 transferring crew from Crew Transfer Vessel 2 ... \n", + "2023-11-12 14:53:12.886784 complete \n", + "2023-11-12 14:53:12.886928 maintenance \n", + "2023-11-12 14:53:12.894327 transferring crew from SS1 to Crew Transfer Ve... \n", + "2023-11-12 14:53:12.894928 complete \n", + "2023-11-12 14:53:12.895074 traveling from site to port \n", + "2023-11-12 14:53:12.895932 arrived at port \n", + "2023-11-12 14:53:12.895947 work shift has ended; waiting for next shift t... \n", + "2023-11-12 14:53:12.896617 traveling from port to site \n", + "2023-11-12 14:53:12.897674 arrived at SS1 \n", + "2023-11-12 14:53:12.897758 transferring crew from Crew Transfer Vessel 2 ... \n", + "2023-11-12 14:53:12.898282 complete \n", + "2023-11-12 14:53:12.898435 maintenance \n", + "2023-11-12 14:53:12.903548 weather delay \n", + "2023-11-12 14:53:12.904850 traveling from site to port \n", + "2023-11-12 14:53:12.906059 arrived at port \n", + "2023-11-12 14:53:12.906068 weather delay \n", + "2023-11-12 14:53:12.907665 weather unsuitable to transfer crew \n", + "2023-11-12 14:53:12.908729 traveling from port to site \n", + "2023-11-12 14:53:12.909750 arrived at SS1 \n", + "2023-11-12 14:53:12.909936 traveling from site to port \n", + "2023-11-12 14:53:12.911021 arrived at port \n", + "2023-11-12 14:53:12.911030 weather delay \n", + "2023-11-12 14:53:12.912005 weather unsuitable to transfer crew \n", + "2023-11-12 14:53:12.913219 traveling from port to site \n", + "2023-11-12 14:53:12.914821 arrived at SS1 \n", + "2023-11-12 14:53:12.914998 traveling from site to port \n", + "2023-11-12 14:53:12.915668 arrived at port \n", + "2023-11-12 14:53:12.915677 weather delay \n", + "2023-11-12 14:53:12.916673 weather unsuitable to transfer crew \n", + "2023-11-12 14:53:12.917473 traveling from port to site \n", + "2023-11-12 14:53:12.918419 arrived at SS1 \n", + "2023-11-12 14:53:12.918608 traveling from site to port \n", + "2023-11-12 14:53:12.919845 arrived at port \n", + "2023-11-12 14:53:12.919856 weather delay \n", + "2023-11-12 14:53:12.920876 weather unsuitable to transfer crew \n", + "2023-11-12 14:53:12.921859 traveling from port to site \n", + "2023-11-12 14:53:12.922783 arrived at SS1 \n", + "2023-11-12 14:53:12.922965 traveling from site to port \n", + "2023-11-12 14:53:12.924722 arrived at port \n", + "2023-11-12 14:53:12.924738 weather delay \n", + "2023-11-12 14:53:12.925979 weather unsuitable to transfer crew \n", + "2023-11-12 14:53:12.927768 traveling from port to site \n", + "2023-11-12 14:53:12.929314 arrived at SS1 \n", + "2023-11-12 14:53:12.929497 traveling from site to port \n", + "2023-11-12 14:53:12.929752 arrived at port \n", + "2023-11-12 14:53:12.929760 weather delay \n", + "2023-11-12 14:53:12.930638 weather unsuitable to transfer crew \n", + "2023-11-12 14:53:12.931557 traveling from port to site \n", + "2023-11-12 14:53:12.932580 arrived at SS1 \n", + "2023-11-12 14:53:12.932758 traveling from site to port \n", + "2023-11-12 14:53:12.933868 arrived at port \n", + "2023-11-12 14:53:12.933877 weather delay \n", + "2023-11-12 14:53:12.935006 weather unsuitable to transfer crew \n", + "2023-11-12 14:53:12.935853 traveling from port to site \n", + "2023-11-12 14:53:12.936955 arrived at SS1 \n", + "2023-11-12 14:53:12.937039 weather delay \n", + "2023-11-12 14:53:12.938709 transferring crew from SS1 to Crew Transfer Ve... \n", + "2023-11-12 14:53:12.945092 complete \n", + "2023-11-12 14:53:12.945230 traveling from site to port \n", + "2023-11-12 14:53:12.945917 arrived at port \n", + "2023-11-12 14:53:12.945928 work shift has ended; waiting for next shift t... \n", + "2023-11-12 14:53:12.947692 traveling from port to site \n", + "2023-11-12 14:53:12.948275 arrived at SS1 \n", + "2023-11-12 14:53:12.948338 weather delay \n", + "2023-11-12 14:53:12.948936 transferring crew from Crew Transfer Vessel 2 ... \n", + "2023-11-12 14:53:12.951240 complete \n", + "2023-11-12 14:53:12.953013 maintenance \n", + "2023-11-12 14:53:12.957675 transferring crew from SS1 to Crew Transfer Ve... \n", + "2023-11-12 14:53:12.958034 complete \n", + "2023-11-12 14:53:12.958052 complete \n", "\n", " system_id part_id request_id duration \n", "datetime \n", - "2023-10-26 11:50:37.673305 SS1 transformer MNT00000325 0.0 \n", - "2023-10-26 11:50:37.782602 SS1 transformer MNT00000325 0.212317 \n", - "2023-10-26 11:50:37.782679 SS1 transformer MNT00000325 0.0 \n", - "2023-10-26 11:50:37.782775 SS1 transformer MNT00000325 0.25 \n", - "2023-10-26 11:50:37.782781 SS1 transformer MNT00000325 0.0 \n", - "2023-10-26 11:50:37.782876 SS1 transformer MNT00000325 11.371944 \n", - "2023-10-26 11:50:37.789377 SS1 transformer MNT00000325 0.25 \n", - "2023-10-26 11:50:37.789925 SS1 transformer MNT00000325 0.0 \n", - "2023-10-26 11:50:37.790052 SS1 transformer MNT00000325 1.809738 \n", - "2023-10-26 11:50:37.790836 SS1 transformer MNT00000325 0.0 \n", - "2023-10-26 11:50:37.790848 SS1 transformer MNT00000325 6.190278 \n", - "2023-10-26 11:50:37.791487 SS1 transformer MNT00000325 1.809753 \n", - "2023-10-26 11:50:37.792490 SS1 transformer MNT00000325 0.0 \n", - "2023-10-26 11:50:37.792561 SS1 transformer MNT00000325 0.25 \n", - "2023-10-26 11:50:37.793031 SS1 transformer MNT00000325 0.0 \n", - "2023-10-26 11:50:37.793140 SS1 transformer MNT00000325 8.940278 \n", - "2023-10-26 11:50:37.797296 SS1 transformer MNT00000325 6.0 \n", - "2023-10-26 11:50:37.798315 SS1 transformer MNT00000325 1.809784 \n", - "2023-10-26 11:50:37.799411 SS1 transformer MNT00000325 0.0 \n", - "2023-10-26 11:50:37.799420 SS1 transformer MNT00000325 21.190216 \n", - "2023-10-26 11:50:37.800941 SS1 transformer MNT00000325 8.0 \n", - "2023-10-26 11:50:37.801978 SS1 transformer MNT00000325 1.809784 \n", - "2023-10-26 11:50:37.802952 SS1 transformer MNT00000325 0.0 \n", - "2023-10-26 11:50:37.803133 SS1 transformer MNT00000325 1.619568 \n", - "2023-10-26 11:50:37.804207 SS1 transformer MNT00000325 0.0 \n", - "2023-10-26 11:50:37.804216 SS1 transformer MNT00000325 12.57071 \n", - "2023-10-26 11:50:37.805191 SS1 transformer MNT00000325 8.0 \n", - "2023-10-26 11:50:37.806380 SS1 transformer MNT00000325 1.809845 \n", - "2023-10-26 11:50:37.807524 SS1 transformer MNT00000325 0.0 \n", - "2023-10-26 11:50:37.807700 SS1 transformer MNT00000325 1.619691 \n", - "2023-10-26 11:50:37.808264 SS1 transformer MNT00000325 0.0 \n", - "2023-10-26 11:50:37.808273 SS1 transformer MNT00000325 12.570309 \n", - "2023-10-26 11:50:37.809212 SS1 transformer MNT00000325 8.0 \n", - "2023-10-26 11:50:37.809940 SS1 transformer MNT00000325 1.809691 \n", - "2023-10-26 11:50:37.810854 SS1 transformer MNT00000325 0.0 \n", - "2023-10-26 11:50:37.811034 SS1 transformer MNT00000325 1.619381 \n", - "2023-10-26 11:50:37.812268 SS1 transformer MNT00000325 0.0 \n", - "2023-10-26 11:50:37.812279 SS1 transformer MNT00000325 12.570897 \n", - "2023-10-26 11:50:37.813264 SS1 transformer MNT00000325 8.0 \n", - "2023-10-26 11:50:37.814208 SS1 transformer MNT00000325 1.809659 \n", - "2023-10-26 11:50:37.815114 SS1 transformer MNT00000325 0.0 \n", - "2023-10-26 11:50:37.815292 SS1 transformer MNT00000325 1.619318 \n", - "2023-10-26 11:50:37.816522 SS1 transformer MNT00000325 0.0 \n", - "2023-10-26 11:50:37.816533 SS1 transformer MNT00000325 12.571238 \n", - "2023-10-26 11:50:37.817601 SS1 transformer MNT00000325 8.0 \n", - "2023-10-26 11:50:37.819148 SS1 transformer MNT00000325 1.809874 \n", - "2023-10-26 11:50:37.820516 SS1 transformer MNT00000325 0.0 \n", - "2023-10-26 11:50:37.820690 SS1 transformer MNT00000325 1.619747 \n", - "2023-10-26 11:50:37.820922 SS1 transformer MNT00000325 0.0 \n", - "2023-10-26 11:50:37.820930 SS1 transformer MNT00000325 12.570253 \n", - "2023-10-26 11:50:37.821786 SS1 transformer MNT00000325 8.0 \n", - "2023-10-26 11:50:37.822686 SS1 transformer MNT00000325 1.809747 \n", - "2023-10-26 11:50:37.823648 SS1 transformer MNT00000325 0.0 \n", - "2023-10-26 11:50:37.823821 SS1 transformer MNT00000325 1.619494 \n", - "2023-10-26 11:50:37.824897 SS1 transformer MNT00000325 0.0 \n", - "2023-10-26 11:50:37.824907 SS1 transformer MNT00000325 12.570784 \n", - "2023-10-26 11:50:37.825943 SS1 transformer MNT00000325 8.0 \n", - "2023-10-26 11:50:37.826669 SS1 transformer MNT00000325 1.809772 \n", - "2023-10-26 11:50:37.827725 SS1 transformer MNT00000325 0.0 \n", - "2023-10-26 11:50:37.827793 SS1 transformer MNT00000325 12.190278 \n", - "2023-10-26 11:50:37.829335 SS1 transformer MNT00000325 0.25 \n", - "2023-10-26 11:50:37.829833 SS1 transformer MNT00000325 0.0 \n", - "2023-10-26 11:50:37.829963 SS1 transformer MNT00000325 1.059822 \n", - "2023-10-26 11:50:37.830627 SS1 transformer MNT00000325 0.0 \n", - "2023-10-26 11:50:37.830638 SS1 transformer MNT00000325 8.690278 \n", - "2023-10-26 11:50:37.832317 SS1 transformer MNT00000325 1.809921 \n", - "2023-10-26 11:50:37.832876 SS1 transformer MNT00000325 0.0 \n", - "2023-10-26 11:50:37.832935 SS1 transformer MNT00000325 4.19 \n", - "2023-10-26 11:50:37.833433 SS1 transformer MNT00000325 0.25 \n", - "2023-10-26 11:50:37.834529 SS1 transformer MNT00000325 0.0 \n", - "2023-10-26 11:50:37.834644 SS1 transformer MNT00000325 3.687778 \n", - "2023-10-26 11:50:37.838395 SS1 transformer MNT00000325 0.25 \n", - "2023-10-26 11:50:37.838738 SS1 transformer MNT00000325 0.0 \n", - "2023-10-26 11:50:37.838755 SS1 transformer MNT00000325 0.0 " + "2023-11-12 14:53:12.769479 SS1 transformer MNT00000325 0.0 \n", + "2023-11-12 14:53:12.886489 SS1 transformer MNT00000325 0.212317 \n", + "2023-11-12 14:53:12.886659 SS1 transformer MNT00000325 0.0 \n", + "2023-11-12 14:53:12.886778 SS1 transformer MNT00000325 0.25 \n", + "2023-11-12 14:53:12.886784 SS1 transformer MNT00000325 0.0 \n", + "2023-11-12 14:53:12.886928 SS1 transformer MNT00000325 11.371944 \n", + "2023-11-12 14:53:12.894327 SS1 transformer MNT00000325 0.25 \n", + "2023-11-12 14:53:12.894928 SS1 transformer MNT00000325 0.0 \n", + "2023-11-12 14:53:12.895074 SS1 transformer MNT00000325 1.809738 \n", + "2023-11-12 14:53:12.895932 SS1 transformer MNT00000325 0.0 \n", + "2023-11-12 14:53:12.895947 SS1 transformer MNT00000325 6.190278 \n", + "2023-11-12 14:53:12.896617 SS1 transformer MNT00000325 1.809753 \n", + "2023-11-12 14:53:12.897674 SS1 transformer MNT00000325 0.0 \n", + "2023-11-12 14:53:12.897758 SS1 transformer MNT00000325 0.25 \n", + "2023-11-12 14:53:12.898282 SS1 transformer MNT00000325 0.0 \n", + "2023-11-12 14:53:12.898435 SS1 transformer MNT00000325 8.940278 \n", + "2023-11-12 14:53:12.903548 SS1 transformer MNT00000325 6.0 \n", + "2023-11-12 14:53:12.904850 SS1 transformer MNT00000325 1.809784 \n", + "2023-11-12 14:53:12.906059 SS1 transformer MNT00000325 0.0 \n", + "2023-11-12 14:53:12.906068 SS1 transformer MNT00000325 21.190216 \n", + "2023-11-12 14:53:12.907665 SS1 transformer MNT00000325 8.0 \n", + "2023-11-12 14:53:12.908729 SS1 transformer MNT00000325 1.809784 \n", + "2023-11-12 14:53:12.909750 SS1 transformer MNT00000325 0.0 \n", + "2023-11-12 14:53:12.909936 SS1 transformer MNT00000325 1.619568 \n", + "2023-11-12 14:53:12.911021 SS1 transformer MNT00000325 0.0 \n", + "2023-11-12 14:53:12.911030 SS1 transformer MNT00000325 12.57071 \n", + "2023-11-12 14:53:12.912005 SS1 transformer MNT00000325 8.0 \n", + "2023-11-12 14:53:12.913219 SS1 transformer MNT00000325 1.809845 \n", + "2023-11-12 14:53:12.914821 SS1 transformer MNT00000325 0.0 \n", + "2023-11-12 14:53:12.914998 SS1 transformer MNT00000325 1.619691 \n", + "2023-11-12 14:53:12.915668 SS1 transformer MNT00000325 0.0 \n", + "2023-11-12 14:53:12.915677 SS1 transformer MNT00000325 12.570309 \n", + "2023-11-12 14:53:12.916673 SS1 transformer MNT00000325 8.0 \n", + "2023-11-12 14:53:12.917473 SS1 transformer MNT00000325 1.809691 \n", + "2023-11-12 14:53:12.918419 SS1 transformer MNT00000325 0.0 \n", + "2023-11-12 14:53:12.918608 SS1 transformer MNT00000325 1.619381 \n", + "2023-11-12 14:53:12.919845 SS1 transformer MNT00000325 0.0 \n", + "2023-11-12 14:53:12.919856 SS1 transformer MNT00000325 12.570897 \n", + "2023-11-12 14:53:12.920876 SS1 transformer MNT00000325 8.0 \n", + "2023-11-12 14:53:12.921859 SS1 transformer MNT00000325 1.809659 \n", + "2023-11-12 14:53:12.922783 SS1 transformer MNT00000325 0.0 \n", + "2023-11-12 14:53:12.922965 SS1 transformer MNT00000325 1.619318 \n", + "2023-11-12 14:53:12.924722 SS1 transformer MNT00000325 0.0 \n", + "2023-11-12 14:53:12.924738 SS1 transformer MNT00000325 12.571238 \n", + "2023-11-12 14:53:12.925979 SS1 transformer MNT00000325 8.0 \n", + "2023-11-12 14:53:12.927768 SS1 transformer MNT00000325 1.809874 \n", + "2023-11-12 14:53:12.929314 SS1 transformer MNT00000325 0.0 \n", + "2023-11-12 14:53:12.929497 SS1 transformer MNT00000325 1.619747 \n", + "2023-11-12 14:53:12.929752 SS1 transformer MNT00000325 0.0 \n", + "2023-11-12 14:53:12.929760 SS1 transformer MNT00000325 12.570253 \n", + "2023-11-12 14:53:12.930638 SS1 transformer MNT00000325 8.0 \n", + "2023-11-12 14:53:12.931557 SS1 transformer MNT00000325 1.809747 \n", + "2023-11-12 14:53:12.932580 SS1 transformer MNT00000325 0.0 \n", + "2023-11-12 14:53:12.932758 SS1 transformer MNT00000325 1.619494 \n", + "2023-11-12 14:53:12.933868 SS1 transformer MNT00000325 0.0 \n", + "2023-11-12 14:53:12.933877 SS1 transformer MNT00000325 12.570784 \n", + "2023-11-12 14:53:12.935006 SS1 transformer MNT00000325 8.0 \n", + "2023-11-12 14:53:12.935853 SS1 transformer MNT00000325 1.809772 \n", + "2023-11-12 14:53:12.936955 SS1 transformer MNT00000325 0.0 \n", + "2023-11-12 14:53:12.937039 SS1 transformer MNT00000325 12.190278 \n", + "2023-11-12 14:53:12.938709 SS1 transformer MNT00000325 0.25 \n", + "2023-11-12 14:53:12.945092 SS1 transformer MNT00000325 0.0 \n", + "2023-11-12 14:53:12.945230 SS1 transformer MNT00000325 1.059822 \n", + "2023-11-12 14:53:12.945917 SS1 transformer MNT00000325 0.0 \n", + "2023-11-12 14:53:12.945928 SS1 transformer MNT00000325 8.690278 \n", + "2023-11-12 14:53:12.947692 SS1 transformer MNT00000325 1.809921 \n", + "2023-11-12 14:53:12.948275 SS1 transformer MNT00000325 0.0 \n", + "2023-11-12 14:53:12.948338 SS1 transformer MNT00000325 4.19 \n", + "2023-11-12 14:53:12.948936 SS1 transformer MNT00000325 0.25 \n", + "2023-11-12 14:53:12.951240 SS1 transformer MNT00000325 0.0 \n", + "2023-11-12 14:53:12.953013 SS1 transformer MNT00000325 3.687778 \n", + "2023-11-12 14:53:12.957675 SS1 transformer MNT00000325 0.25 \n", + "2023-11-12 14:53:12.958034 SS1 transformer MNT00000325 0.0 \n", + "2023-11-12 14:53:12.958052 SS1 transformer MNT00000325 0.0 " ] }, "execution_count": 21, @@ -4625,7 +4625,7 @@ " \n", " \n", " \n", - " 2023-10-26 11:50:37.673331\n", + " 2023-11-12 14:53:12.769506\n", " 2003-01-01 00:00:00\n", " transformer\n", " maintenance request\n", @@ -4637,7 +4637,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.783632\n", + " 2023-11-12 14:53:12.887882\n", " 2003-01-20 10:51:33\n", " Crew Transfer Vessel 7\n", " traveling\n", @@ -4649,7 +4649,7 @@ " 0.467544\n", " \n", " \n", - " 2023-10-26 11:50:37.783706\n", + " 2023-11-12 14:53:12.888106\n", " 2003-01-20 11:19:36\n", " Crew Transfer Vessel 7\n", " complete travel\n", @@ -4661,7 +4661,7 @@ " 0.0\n", " \n", " \n", - " 2023-10-26 11:50:37.783803\n", + " 2023-11-12 14:53:12.888216\n", " 2003-01-20 11:19:36\n", " Crew Transfer Vessel 7\n", " transferring crew\n", @@ -4673,7 +4673,7 @@ " 0.25\n", " \n", " \n", - " 2023-10-26 11:50:37.783809\n", + " 2023-11-12 14:53:12.888222\n", " 2003-01-20 11:34:36\n", " Crew Transfer Vessel 7\n", " complete transfer\n", @@ -4691,35 +4691,35 @@ "text/plain": [ " env_datetime agent \\\n", "datetime \n", - "2023-10-26 11:50:37.673331 2003-01-01 00:00:00 transformer \n", - "2023-10-26 11:50:37.783632 2003-01-20 10:51:33 Crew Transfer Vessel 7 \n", - "2023-10-26 11:50:37.783706 2003-01-20 11:19:36 Crew Transfer Vessel 7 \n", - "2023-10-26 11:50:37.783803 2003-01-20 11:19:36 Crew Transfer Vessel 7 \n", - "2023-10-26 11:50:37.783809 2003-01-20 11:34:36 Crew Transfer Vessel 7 \n", + "2023-11-12 14:53:12.769506 2003-01-01 00:00:00 transformer \n", + "2023-11-12 14:53:12.887882 2003-01-20 10:51:33 Crew Transfer Vessel 7 \n", + "2023-11-12 14:53:12.888106 2003-01-20 11:19:36 Crew Transfer Vessel 7 \n", + "2023-11-12 14:53:12.888216 2003-01-20 11:19:36 Crew Transfer Vessel 7 \n", + "2023-11-12 14:53:12.888222 2003-01-20 11:34:36 Crew Transfer Vessel 7 \n", "\n", " action reason \\\n", "datetime \n", - "2023-10-26 11:50:37.673331 maintenance request oss annual inspection \n", - "2023-10-26 11:50:37.783632 traveling oss annual inspection \n", - "2023-10-26 11:50:37.783706 complete travel oss annual inspection \n", - "2023-10-26 11:50:37.783803 transferring crew oss annual inspection \n", - "2023-10-26 11:50:37.783809 complete transfer oss annual inspection \n", + "2023-11-12 14:53:12.769506 maintenance request oss annual inspection \n", + "2023-11-12 14:53:12.887882 traveling oss annual inspection \n", + "2023-11-12 14:53:12.888106 complete travel oss annual inspection \n", + "2023-11-12 14:53:12.888216 transferring crew oss annual inspection \n", + "2023-11-12 14:53:12.888222 complete transfer oss annual inspection \n", "\n", " additional \\\n", "datetime \n", - "2023-10-26 11:50:37.673331 severity level 1 \n", - "2023-10-26 11:50:37.783632 traveling from WTG_0507 to SS2 \n", - "2023-10-26 11:50:37.783706 arrived at SS2 \n", - "2023-10-26 11:50:37.783803 transferring crew from Crew Transfer Vessel 7 ... \n", - "2023-10-26 11:50:37.783809 complete \n", + "2023-11-12 14:53:12.769506 severity level 1 \n", + "2023-11-12 14:53:12.887882 traveling from WTG_0507 to SS2 \n", + "2023-11-12 14:53:12.888106 arrived at SS2 \n", + "2023-11-12 14:53:12.888216 transferring crew from Crew Transfer Vessel 7 ... \n", + "2023-11-12 14:53:12.888222 complete \n", "\n", " system_id part_id request_id duration \n", "datetime \n", - "2023-10-26 11:50:37.673331 SS2 transformer MNT00000326 0.0 \n", - "2023-10-26 11:50:37.783632 SS2 transformer MNT00000326 0.467544 \n", - "2023-10-26 11:50:37.783706 SS2 transformer MNT00000326 0.0 \n", - "2023-10-26 11:50:37.783803 SS2 transformer MNT00000326 0.25 \n", - "2023-10-26 11:50:37.783809 SS2 transformer MNT00000326 0.0 " + "2023-11-12 14:53:12.769506 SS2 transformer MNT00000326 0.0 \n", + "2023-11-12 14:53:12.887882 SS2 transformer MNT00000326 0.467544 \n", + "2023-11-12 14:53:12.888106 SS2 transformer MNT00000326 0.0 \n", + "2023-11-12 14:53:12.888216 SS2 transformer MNT00000326 0.25 \n", + "2023-11-12 14:53:12.888222 SS2 transformer MNT00000326 0.0 " ] }, "execution_count": 23, @@ -4817,30 +4817,30 @@ "text/html": [ "\n", - "\n", + "
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 OpEx (\u20ac)OpEx (\u20ac/MW/yr)OpEx (\u20ac)OpEx (\u20ac/MW/yr)
In Situ2,627,559,225.85109,481.63In Situ2,627,559,225.85109,481.63
Tow-to-Port1,669,481,396.1869,561.72Tow-to-Port1,669,481,396.1869,561.72
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 equipment_costtotal_labor_costoperationsport_feesequipment_costtotal_labor_costoperationsport_fees
In Situ2,507,009,405.1053,297,496.750.000.00In Situ2,507,009,405.1053,297,496.750.000.00
Tow-to-Port1,059,248,077.4373,770,382.750.00480,000,000.00Tow-to-Port1,059,248,077.4373,770,382.750.00480,000,000.00
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 In SituTow-to-PortIn SituTow-to-Port
Anchor Handling Tug183,182,504.92355,551,986.65Anchor Handling Tug183,182,504.92355,551,986.65
Cable Laying Vessel156,923,649.78133,852,669.25Cable Laying Vessel156,923,649.78133,852,669.25
Crew Transfer Vessel 125,563,370.4725,562,764.84Crew Transfer Vessel 125,563,370.4725,562,764.84
Crew Transfer Vessel 225,563,357.0325,562,764.04Crew Transfer Vessel 225,563,357.0325,562,764.04
Crew Transfer Vessel 325,563,348.1725,562,740.47Crew Transfer Vessel 325,563,348.1725,562,740.47
Crew Transfer Vessel 425,563,351.8525,562,717.86Crew Transfer Vessel 425,563,351.8525,562,717.86
Crew Transfer Vessel 525,563,349.0125,562,704.46Crew Transfer Vessel 525,563,349.0125,562,704.46
Crew Transfer Vessel 625,563,372.4525,562,723.04Crew Transfer Vessel 625,563,372.4525,562,723.04
Crew Transfer Vessel 725,563,360.5125,562,710.29Crew Transfer Vessel 725,563,360.5125,562,710.29
Diving Support Vessel187,610,296.15371,891,657.28Diving Support Vessel187,610,296.15371,891,657.28
Heavy Lift Vessel1,800,349,444.770.00Heavy Lift Vessel1,800,349,444.770.00
Tugboat 10.009,583,450.35Tugboat 10.009,583,450.35
Tugboat 20.009,429,188.89Tugboat 20.009,429,188.89
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 In SituTow-to-PortIn SituTow-to-Port
Anchor Handling Tug0.870.99Anchor Handling Tug0.870.99
Cable Laying Vessel0.920.90Cable Laying Vessel0.920.90
Crew Transfer Vessel 11.001.00Crew Transfer Vessel 11.001.00
Crew Transfer Vessel 21.001.00Crew Transfer Vessel 21.001.00
Crew Transfer Vessel 31.001.00Crew Transfer Vessel 31.001.00
Crew Transfer Vessel 41.001.00Crew Transfer Vessel 41.001.00
Crew Transfer Vessel 51.001.00Crew Transfer Vessel 51.001.00
Crew Transfer Vessel 61.001.00Crew Transfer Vessel 61.001.00
Crew Transfer Vessel 71.001.00Crew Transfer Vessel 71.001.00
Diving Support Vessel0.960.98Diving Support Vessel0.960.98
Heavy Lift Vessel0.980.00Heavy Lift Vessel0.980.00
Tugboat 10.001.00Tugboat 10.001.00
Tugboat 20.001.00Tugboat 20.001.00
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 time_to_completionprocess_timedowntimetime_to_startNtime_to_completionprocess_timedowntimetime_to_startN
category
yaw system major replacement26,74011011026,6302yaw system major replacement26,74011011026,6302
minor ballast pump repair15,5669915,56031minor ballast pump repair15,5669915,56031
yaw system major repair14,4583531014,14914yaw system major repair14,4583531014,14914
main shaft major repair13,520361,60212,44759main shaft major repair13,520361,60212,44759
direct drive generator minor repair13,0072013810,6372,698direct drive generator minor repair13,0072013810,6372,698
annual turbine inspection12,9622818210,5424,786annual turbine inspection12,9622818210,5424,786
main shaft minor repair12,890142810,984604main shaft minor repair12,890142810,984604
direct drive generator major repair12,478396769,200130direct drive generator major repair12,478396769,200130
structural annual inspection11,51119583,1955,207structural annual inspection11,51119583,1955,207
minor pitch system repair11,511285011,3092,812minor pitch system repair11,511285011,3092,812
major pitch system repair11,236608810,937571major pitch system repair11,236608810,937571
blades minor repair10,5293212810,3951,158blades minor repair10,5293212810,3951,158
marine growth removal10,15541722,624661marine growth removal10,15541722,624661
power electrical system major replacement9,97777114power electrical system major replacement9,97777114
main shaft replacement9,921982967,40027main shaft replacement9,921982967,40027
buoyancy module replacement9,89640543,489178buoyancy module replacement9,89640543,489178
power converter major repair9,783153962,7872,844power converter major repair9,783153962,7872,844
yaw system minor repair9,77616239,734358yaw system minor repair9,77616239,734358
power converter replacement9,592683552,530628power converter replacement9,592683552,530628
direct drive generator major replacement9,4251874338,47038direct drive generator major replacement9,4251874338,47038
blades major repair9,27325259,17820blades major repair9,27325259,17820
structural subsea inspection8,5666502,0692,493structural subsea inspection8,5666502,0692,493
power electrical system major repair8,41511861,103153power electrical system major repair8,41511861,103153
power electrical system minor repair7,87411412,4972,944power electrical system minor repair7,87411412,4972,944
power converter minor repair7,68513382,2304,508power converter minor repair7,68513382,2304,508
major pitch system replacement3,814801043,7353major pitch system replacement3,814801043,7353
array cable replacement1,082761034824array cable replacement1,082761034824
array cable major repair950517046241array cable major repair950517046241
mooring line major repair6906514820978mooring line major repair6906514820978
mooring line replacement5598813633961mooring line replacement5598813633961
export cable subsea inspection52584048018export cable subsea inspection52584048018
major anchor repair469416628985major anchor repair469416628985
anchor replacement3907013318365anchor replacement3907013318365
oss annual inspection27119819813638oss annual inspection27119819813638
oss minor repair877676236oss minor repair877676236
blades major replacement00001blades major replacement00001
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 time_to_completionprocess_timedowntimetime_to_startNtime_to_completionprocess_timedowntimetime_to_startN
category
power converter major repair9,67244771,030power converter major repair9,67244771,030
power electrical system major repair7,822272771248power electrical system major repair7,822272771248
major pitch system replacement7,7172282287,5572major pitch system replacement7,7172282287,5572
main shaft major repair5,31352522,13934main shaft major repair5,31352522,13934
power converter replacement4,5654736823,493238power converter replacement4,5654736823,493238
yaw system major replacement3,4834484483,0461yaw system major replacement3,4834484483,0461
blades major replacement3,0622,5292,5285341blades major replacement3,0622,5292,5285341
direct drive generator major repair2,08385852,01042direct drive generator major repair2,08385852,01042
structural subsea inspection1,48035901,4341,108structural subsea inspection1,48035901,4341,108
structural annual inspection1,4141001531,2782,329structural annual inspection1,4141001531,2782,329
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 33, @@ -5794,7 +5794,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.13" + "version": "3.10.9" } }, "nbformat": 4, diff --git a/examples/how_to.ipynb b/examples/how_to.ipynb index ed4e73c2..9918de23 100644 --- a/examples/how_to.ipynb +++ b/examples/how_to.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "efc3ba20", + "id": "4b289824", "metadata": {}, "source": [ "# How To Use WOMBAT\n", @@ -12,14 +12,14 @@ "\n", "## Imports\n", "\n", - "The following code block demonstrates a typical setup for working with WOMBAT and running\n", - "analyses." + "The following code block demonstrates a typical setup for working with WOMBAT and\n", + "running analyses." ] }, { "cell_type": "code", "execution_count": 1, - "id": "2bcd4597", + "id": "28e7cbdf", "metadata": {}, "outputs": [], "source": [ @@ -42,7 +42,7 @@ }, { "cell_type": "markdown", - "id": "fe8da8e2", + "id": "1aee3f5c", "metadata": {}, "source": [ "## Defining the Simulation\n", @@ -94,26 +94,32 @@ "`DINWOODIE` or `IEA_26` as is seen in the imports above, and a consistent path will be\n", "enabled.\n", "\n", - "In practice, any folder location can be used so long as it follows the subfolder structure provided\n", - "here.\n", + "In practice, any folder location can be used so long as it follows the subfolder\n", + "structure provided here.\n", "\n", + "### Wind Farm Layout\n", "\n", - "### Windfarm Layout\n", - "\n", - "The windfarm layout is determined by a csv file, `dinwoodie/windfarm/layout.csv` in this case. Below is a sample of what information is required and how to use each field, followed by a visual example. It should be noted that none of the headings are case sensitive.\n", - "\n", + "The wind farm layout is determined by a csv file, `dinwoodie/windfarm/layout.csv` in\n", + "this case. Below is a sample of what information is required and how to use each field,\n", + "followed by a visual example. It should be noted that none of the headings are\n", + "case-sensitive.\n", "\n", "id (required)\n", ": Unique identifier for the asset; no spaces allowed.\n", "\n", "substation_id (required)\n", - ": The id field for the substation that the asset connects to; in the case that this is a substation, then this field should be the same as id; no spaces allowed.\n", + ": The id field for the substation that the asset connects to; in the case that this is a\n", + " substation, then this field should be the same as `id`; no spaces allowed.\n", "\n", "name (required)\n", - ": A descriptive name for the turbine, if desired. This can be the same as id.\n", + ": A descriptive name for the turbine, if desired. This can be the same as `id`.\n", "\n", "type (optional)\n", - ": One of \"turbine\" or \"substation\". This is required to accurately model a multi-substation wind farm. The base assumption is that a substation connects to itself as a means to model the export cable connecting to the interconnection point, however, this is not always the case, as substations may be connected through their export systems. Using this filed allows for that connection to be modeled accurately.\n", + ": One of \"turbine\" or \"substation\". This is required to accurately model a\n", + " multi-substation wind farm. The base assumption is that a substation connects to\n", + " itself as a means to model the export cable connecting to the interconnection point,\n", + " however, this is not always the case, as substations may be connected through their\n", + " export systems. Using this filed allows for that connection to be modeled accurately.\n", "\n", "longitude (optional)\n", ": The longitudinal position of the asset, can be in any geospatial reference; optional.\n", @@ -125,10 +131,12 @@ ": The integer, zero-indexed, string number for where the turbine will be positioned.\n", "\n", "order (required)\n", - ": The integer, zero-indexed position on the string for where the turbine will be positioned.\n", + ": The integer, zero-indexed position on the string for where the turbine will be\n", + " positioned.\n", "\n", "distance (optional)\n", - ": The distance to the upstream asset; if this is calculated (input = 0), then the straightline distance is calculated using the provided coordinates (WGS-84 assumed).\n", + ": The distance to the upstream asset; if this is calculated (input = 0), then the\n", + " straight line distance is calculated using the provided coordinates (WGS-84 assumed).\n", "\n", "subassembly (required)\n", ": The file that defines the asset's modeling parameters.\n", @@ -137,7 +145,9 @@ ": The file that defines the upstream cable's modeling parameters.\n", "\n", "upstream_cable_name (optional)\n", - ": The descriptive name to give to the cable that will be used during logging. This enables users to use a single cable definition file while maintaining the naming conventions used for the wind farm being simulated.\n", + ": The descriptive name to give to the cable that will be used during logging. This\n", + " enables users to use a single cable definition file while maintaining the naming\n", + " conventions used for the wind farm being simulated.\n", "\n", "```{note}\n", "In the example below, there are a few noteworthy caveats that will set the stage for\n", @@ -176,13 +186,12 @@ ": A date and time stamp, any format.\n", "\n", "windspeed (required)\n", - ": The hourly, mean windspeed, in meters per second at the time stamp.\n", + ": The hourly, mean winds peed, in meters per second at the time stamp.\n", "\n", "waveheight (optional)\n", - ": The hourly, mean waveheight, in meters, at the time stamp. If waves are not required,\n", + ": The hourly, mean wave height, in meters, at the time stamp. If waves are not required,\n", " this can be filled with zeros, or be left out entirely.\n", "\n", - "\n", "Below, is a demonstration of what `weather/alpha_ventus_weather_2002_2014.csv` looks like.\n", "\n", "| datetime | windspeed | waveheight |\n", @@ -195,7 +204,6 @@ "| 12/31/14 22:00 | 14.40838803 | 0.869625003 |\n", "| 12/31/14 23:00 | 14.04563195 | 0.993031445 |\n", "\n", - "\n", "### Environmental Considerations\n", "\n", "In addition to using weather conditions for site characteristics, WOMBAT is able to\n", @@ -218,7 +226,6 @@ "`reduced_speed`. As is the case above, these variables can also be defined at the\n", "servicing equipment level for further customization.\n", "\n", - "\n", "### Fixed Costs\n", "\n", "Please see the [`FixedCosts` API documentation](../API/types.md#fixed-cost-model) for\n", @@ -227,7 +234,6 @@ "For modeling a tow-to-port strategy that the port rental costs should be included in\n", "this category, and not in the port configuration.\n", "\n", - "\n", "### Servicing Equipment\n", "\n", "The servicing equipment control the actual repairs within a simulation, and as of v0.5,\n", @@ -240,7 +246,7 @@ "For complete documentation of how the servicing equipment parameters are defined, please\n", "see the [ServiceEquipmentData API documentation](../API/types.md#service-equipment)\n", "\n", - "Below is an definition of the different equipment codes and their designations to show\n", + "Below is a definition of the different equipment codes and their designations to show\n", "the breadth of what can be simulated. These codes do not have separate operating models,\n", "but instead allow the user to specify the types of operations the servicing equipment\n", "will be able to operate on. This model should be aligned with the `service_equipment`\n", @@ -273,7 +279,7 @@ "\n", "AHV\n", ": anchor handling vessel (this is a variation on the tugboat for mooring repairs that\n", - "will not tow anthing between port and site, but operate at the site)\n", + "will not tow anything between port and site, but operate at the site)\n", "\n", "Aside from the TOW and AHV capabilities there are no operations specific to each\n", "capability. The remaining configurations of a servicing equipment such as equipment\n", @@ -297,15 +303,14 @@ " that the equipment can service has been reached\n", "\n", "downtime\n", - ": dispatch the servicing equipment once the windfarm's operating level reaches the\n", + ": dispatch the servicing equipment once the wind farm's operating level reaches the\n", " `strategy_threshold` percent downtime.\n", "\n", - "\n", "### The System Models\n", "\n", "The actual assets on the windfarm such as cables, turbines, and substations, are\n", "referred to as systems in WOMBAT, and each has their own individual model. Within each\n", - "of these systems, there are user-defined subassemblies (or componenents) that rely on\n", + "of these systems, there are user-defined subassemblies (or components) that rely on\n", "two types of repair models:\n", "\n", "- maintenance: scheduled, fixed time interval-based maintenance tasks\n", @@ -319,7 +324,7 @@ "In the example below we show a `generator` subassembly with an annual service task and\n", "frequent manual reset. For a thorough definition, please read the API\n", "documentation of the [Maintenance](../API/types.md#maintenance-tasks) and\n", - "[Failure](../API/types.md#failures) data classes. Note that the yaml defintion below\n", + "[Failure](../API/types.md#failures) data classes. Note that the yaml definition below\n", "specifies that maintenance tasks are in a bulleted list format and that failure\n", "defintions require a dictionary-style input with keys to match the severity level of a\n", "given failure. For more details on the complete subassembly definition, please visit the\n", @@ -348,13 +353,12 @@ " description: manual reset\n", "```\n", "\n", - "\n", "#### Substations\n", "\n", "The substation model relies on two specific inputs, and one subassembly input (transformer).\n", "\n", "capacity_kw\n", - ": The capacity of all turbines in the windfarm, neglecting any losses. Only needed if\n", + ": The capacity of all turbines in the wind farm, neglecting any losses. Only needed if\n", "a $/kw cost basis is being used.\n", "\n", "capex_kw\n", @@ -364,7 +368,7 @@ "same format as the generator example above. Similarly, a user can define as man or as\n", "few of the subassemblies as desired with their preferred naming conventions\n", "\n", - "The following is an example of substation YAML definition with no modeled subasemblies.\n", + "The following is an example of substation YAML definition with no modeled subassemblies.\n", "\n", "```{code-block} yaml\n", "capacity_kw: 670000\n", @@ -390,10 +394,9 @@ " description: n/a\n", "```\n", "\n", - "\n", "#### Turbines\n", "\n", - "The turbine has the most to define out of the three systems in the windfarm model.\n", + "The turbine has the most to define out of the three systems in the wind farm model.\n", "Similar to the substation, it relies mainly on the subassembly model with a few extra\n", "parameters, as defined here:\n", "\n", @@ -411,7 +414,7 @@ "power calculations.\n", "\n", "The `windfarm/vestas_v90.yaml` data file provides the following definition in addition\n", - "to the the maintenance and failure definitions that were shown previously.\n", + "to the maintenance and failure definitions that were shown previously.\n", "\n", "```{code-block} yaml\n", "capacity_kw: 3000\n", @@ -422,16 +425,16 @@ "```\n", "\n", "The power curve input CSV requires the following two columns: `windspeed_ms` and\n", - "`power_kw` that should be defined using the windspeed for a bin, in m/s and the power produced at that\n", - "windspeed, in kW. The current method available for generating the power curve is the IEC\n", - "61400-12-1-2 method for a wind-speed binned power curve. If there is a need/desire for\n", - "additional power curve methodologies, then [please submit an issue on the GitHub](https://github.com/WISDEM/WOMBAT/issues)!\n", + "`power_kw` that should be defined using the wind speed for a bin, in m/s and the power\n", + "produced at that wind speed, in kW. The current method available for generating the\n", + "power curve is the IEC 61400-12-1-2 method for a wind-speed binned power curve. If there\n", + "is a need/desire for additional power curve methodologies, then\n", + "[please submit an issue on the GitHub](https://github.com/WISDEM/WOMBAT/issues)!\n", "\n", "For an open source listing of a variety of land-based, offshore, and distributed wind\n", "turbine power curves, please visit the\n", "[NREL Turbine Models repository](https://github.com/NREL/turbine-models).\n", "\n", - "\n", "#### Cables\n", "\n", "The array cable is the simplest format in that you only define a descriptive name,\n", @@ -465,7 +468,6 @@ " description: n/a\n", "```\n", "\n", - "\n", "## Set Up the Simulation\n", "\n", "In the remaining sections of the tutorial, we will work towards setting up and running\n", @@ -473,8 +475,8 @@ "\n", "### Define the data library path\n", "\n", - "The set library enables WOMBAT to easily access and store data files in a consistent\n", - "manner. Here the `DINWOODIE` reference is going to be used again.\n", + "The set library enables WOMBAT to easily access and store data files consistently. Here,\n", + "the `DINWOODIE` reference is going to be used again.\n", "\n", "```{note}\n", "If a custom library is being used, the `library_path` must be the full path name to the\n", @@ -489,7 +491,7 @@ { "cell_type": "code", "execution_count": 2, - "id": "8f35b1e5", + "id": "946b10de", "metadata": {}, "outputs": [], "source": [ @@ -498,14 +500,13 @@ }, { "cell_type": "markdown", - "id": "11debac2", + "id": "d9b4d54b", "metadata": {}, "source": [ "### The configuration file\n", "\n", - "\n", "In the configuration below, there are a number of data points that will define our\n", - "windfarm layout, weather conditions, working hours, customized start and completion\n", + "wind farm layout, weather conditions, working hours, customized start and completion\n", "years, project size, financials, and the servicing equipment to be used. Note that there\n", "can be as many or as few of the servicing equipment units as desired.\n", "\n", @@ -519,7 +520,7 @@ { "cell_type": "code", "execution_count": 3, - "id": "48d0d836", + "id": "609f3d45", "metadata": {}, "outputs": [], "source": [ @@ -528,7 +529,7 @@ }, { "cell_type": "markdown", - "id": "7af497d3", + "id": "7572032e", "metadata": {}, "source": [ "```{code-block} yaml\n", @@ -571,7 +572,7 @@ { "cell_type": "code", "execution_count": 4, - "id": "f00af256", + "id": "08183b32", "metadata": {}, "outputs": [], "source": [ @@ -583,7 +584,7 @@ }, { "cell_type": "markdown", - "id": "e76477bf", + "id": "d77f18da", "metadata": {}, "source": [ "### Option 2: `Simulation()`\n", @@ -605,7 +606,7 @@ { "cell_type": "code", "execution_count": 5, - "id": "5099abd7", + "id": "428cd356", "metadata": {}, "outputs": [], "source": [ @@ -618,7 +619,7 @@ }, { "cell_type": "markdown", - "id": "6c28b315", + "id": "500cb330", "metadata": {}, "source": [ "### Seeding the simulation random variable\n", @@ -631,7 +632,7 @@ { "cell_type": "code", "execution_count": 6, - "id": "ae14cc72", + "id": "48c1883c", "metadata": {}, "outputs": [], "source": [ @@ -652,7 +653,7 @@ }, { "cell_type": "markdown", - "id": "1b0e4c25", + "id": "64e779d5", "metadata": {}, "source": [ "## Run the analysis\n", @@ -667,14 +668,14 @@ { "cell_type": "code", "execution_count": 7, - "id": "7b899c32", + "id": "1fb6b711", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Run time: 0.53 minutes\n" + "Run time: 0.49 minutes\n" ] } ], @@ -692,7 +693,7 @@ }, { "cell_type": "markdown", - "id": "d8089506", + "id": "1d010440", "metadata": {}, "source": [ "## Metric computation\n", @@ -704,7 +705,7 @@ { "cell_type": "code", "execution_count": 8, - "id": "bc468caa", + "id": "bd74e607", "metadata": {}, "outputs": [ { @@ -726,7 +727,7 @@ { "cell_type": "code", "execution_count": 9, - "id": "740d37f9", + "id": "f51049b4", "metadata": {}, "outputs": [ { @@ -753,18 +754,20 @@ }, { "cell_type": "markdown", - "id": "ef887c84", + "id": "d3a5c51d", "metadata": {}, "source": [ "## Optional: Delete the logging files\n", "\n", - "In the case that a lot of simulations are going to be run, and the processed outputs are all that is required, then there is a convenience method to cleanup these files automatically once you are done." + "In the case that a lot of simulations are going to be run, and the processed outputs\n", + "are all that is required, then there is a convenience method to clean up these files\n", + "automatically once you are done." ] }, { "cell_type": "code", "execution_count": 10, - "id": "01643d48", + "id": "a2b4a6e7", "metadata": {}, "outputs": [], "source": [ @@ -800,8 +803,8 @@ 10, 22, 38, - 481, - 483, + 482, + 484, 499, 501, 539, @@ -815,7 +818,7 @@ 618, 625, 636, - 643 + 644 ] }, "nbformat": 4, diff --git a/examples/metrics_demonstration.ipynb b/examples/metrics_demonstration.ipynb index 3c456638..73bc7f2d 100644 --- a/examples/metrics_demonstration.ipynb +++ b/examples/metrics_demonstration.ipynb @@ -2,20 +2,23 @@ "cells": [ { "cell_type": "markdown", - "id": "c2c11f7e", + "id": "f5c7afcf", "metadata": {}, "source": [ "# Demonstration of the Available Metrics\n", "\n", - "For a complete list of metrics and their documentation, please see the API Metrics [documentation](../API/simulation_api.md#metrics-computation).\n", + "For a complete list of metrics and their documentation, please see the API Metrics\n", + "[documentation](../API/simulation_api.md#metrics-computation).\n", "\n", - "This demonstration will rely on the results produced in the \"How To\" notebook and serves as an extension of the API documentation to show what the results will look like depending on what inputs are provided." + "This demonstration will rely on the results produced in the \"How To\" notebook and serves\n", + "as an extension of the API documentation to show what the results will look like\n", + "depending on what inputs are provided." ] }, { "cell_type": "code", "execution_count": 1, - "id": "b0d2fc5a", + "id": "c1d7a12d", "metadata": { "tags": [ "output_scroll" @@ -44,49 +47,56 @@ }, { "cell_type": "markdown", - "id": "1ff7d91f", + "id": "0f265ad5", "metadata": {}, "source": [ "## Table of Contents\n", "\n", - "Below is a list of top-level sections to demonstrate how to use WOMBAT's `Metrics` class methods and an explanation of each individual metric.\n", + "Below is a list of top-level sections to demonstrate how to use WOMBAT's `Metrics`\n", + "class methods and an explanation of each individual metric.\n", "\n", "If you don't see a metric or result computation that is core to your work, please submit\n", "an [issue](https://github.com/WISDEM/WOMBAT/issues/new) with details on what the metric\n", "is, and how it should be computed.\n", "\n", - " - [Setup](#setup): Running a simulation to gather the results\n", - " - [Common Parameters](#common-parameter-explanations): Explanation of frequently used parameter settings\n", - " - [Availability](#availability): Time-based and energy-based availability\n", - " - [Capacity Factor](#capacity-factor): Gross and net capacity factor\n", - " - [Task Completion Rate](#task-completion-rate): Task completion metrics\n", - " - [Equipment Costs](#equipment-costs): Cost breakdowns by servicing equipment\n", - " - [Service Equipment Utilization Rate](#service-equipment-utilization-rate): Utilization of servicing equipment\n", - " - [Vessel-Crew Hours at Sea](#vessel-crew-hours-at-sea): Number of crew or vessel hours spent at sea\n", - " - [Number of Tows](#number-of-tows): Number of tows breakdowns\n", - " - [Labor Costs](#labor-costs): Breakdown of labor costs\n", - " - [Equipment and Labor Costs](#equipment-and-labor-costs): Combined servicing equipment and labor cost breakdown\n", - " - [Emissions](#emissions): Emissions of servicing equipment based on activity\n", - " - [Component Costs](#component-costs): Materials costs\n", - " - [Fixed Cost Impacts](#fixed-cost-impacts): Total fixed costs\n", - " - [OpEx](#opex): Project OpEx\n", - " - [Process Times](#process-times): Timing of various stages of repair and maintenance\n", - " - [Power Production](#power-production): Potential and actually produced power\n", - " - [Net Present Value](#net-present-value): Project NPV calculator\n", + "- [Setup](#setup): Running a simulation to gather the results\n", + "- [Common Parameters](#common-parameter-explanations): Explanation of frequently used\n", + " parameter settings\n", + "- [Availability](#availability): Time-based and energy-based availability\n", + "- [Capacity Factor](#capacity-factor): Gross and net capacity factor\n", + "- [Task Completion Rate](#task-completion-rate): Task completion metrics\n", + "- [Equipment Costs](#equipment-costs): Cost breakdowns by servicing equipment\n", + "- [Service Equipment Utilization Rate](#service-equipment-utilization-rate): Utilization\n", + " of servicing equipment\n", + "- [Vessel-Crew Hours at Sea](#vessel-crew-hours-at-sea): Number of crew or vessel hours\n", + " spent at sea\n", + "- [Number of Tows](#number-of-tows): Number of tows breakdowns\n", + "- [Labor Costs](#labor-costs): Breakdown of labor costs\n", + "- [Equipment and Labor Costs](#equipment-and-labor-costs): Combined servicing equipment\n", + " and labor cost breakdown\n", + "- [Emissions](#emissions): Emissions of servicing equipment based on activity\n", + "- [Component Costs](#component-costs): Materials costs\n", + "- [Fixed Cost Impacts](#fixed-cost-impacts): Total fixed costs\n", + "- [OpEx](#opex): Project OpEx\n", + "- [Process Times](#process-times): Timing of various stages of repair and maintenance\n", + "- [Power Production](#power-production): Potential and actually produced power\n", + "- [Net Present Value](#net-present-value): Project NPV calculator\n", "\n", "(setup)=\n", "## Setup\n", "\n", - "The simulations from the How To notebook are going to be rerun as it is not recommended to create a Metrics class from scratch due to the\n", - "large number of inputs that are required and the initialization is provided in the simulation API's run method.\n", + "The simulations from the *How To* notebook are going to be rerun as it is not\n", + "recommended to create a Metrics class from scratch due to the large number of inputs\n", + "that are required, and the initialization is provided in the simulation API's run method.\n", "\n", - "To simplify this process, a feature has been added to save the simulation outputs required to generate the Metrics inputs and a method to reload those outputs as inputs." + "To simplify this process, a feature has been added to save the simulation outputs\n", + "required to generate the Metrics inputs and a method to reload those outputs as inputs." ] }, { "cell_type": "code", "execution_count": 2, - "id": "453c9b9f", + "id": "4287b4f5", "metadata": { "tags": [ "output_scroll" @@ -114,58 +124,71 @@ }, { "cell_type": "markdown", - "id": "44dff9e4", + "id": "f55e3fbb", "metadata": {}, "source": [ "## Common Parameter Explanations\n", "\n", - "Before diving into each and every metric, and how they can be customized, it is is worth noting some of the most common parameters used throughout, and their meanings to reduce redundancy. The varying output forms are demonstrated in the [availability](#availability) section below.\n", + "Before diving into each and every metric, and how they can be customized, it is worth\n", + "noting some of the most common parameters used throughout, and their meanings to reduce\n", + "redundancy. The varying output forms are demonstrated in the\n", + "[availability](#availability) section below.\n", "\n", "### `frequency`\n", "\n", " project\n", - " : Computed across the whole simulation, with the resulting `DataFrame` having an empty index.\n", + " : Computed across the whole simulation, with the resulting `DataFrame` having an empty\n", + " index.\n", "\n", " annual\n", - " : Summary of each year in the simulation, with the resulting `DataFrame` having \"year\" as the index.\n", + " : Summary of each year in the simulation, with the resulting `DataFrame` having \"year\"\n", + " as the index.\n", "\n", " monthly\n", - " : Summary of each month of the year, aggregated across years, with the resulting `DataFrame` having \"month\" as the index.\n", + " : Summary of each month of the year, aggregated across years, with the resulting\n", + " `DataFrame` having \"month\" as the index.\n", "\n", " month-year\n", - " : computed on a month-by-year basis, producing the results for every month of the simulation, with the resulting `DataFrame` having \"year\" and \"month\" as the index.\n", + " : computed on a month-by-year basis, producing the results for every month of the\n", + " simulation, with the resulting `DataFrame` having \"year\" and \"month\" as the index.\n", "\n", "### `by`\n", "\n", " windfarm\n", - " : Aggregated across all turbines, with the resulting `DataFrame` having only \"windfarm\" as a column\n", + " : Aggregated across all turbines, with the resulting `DataFrame` having only\n", + " \"windfarm\" as a column\n", "\n", " turbine\n", - " : Computed for each turbine, with the resulting `DataFrame` having a column for each turbine\n", + " : Computed for each turbine, with the resulting `DataFrame` having a column for each\n", + " turbine\n", "\n", "## Availability\n", "\n", "There are two methods to produce availability, which have their own function calls:\n", - " - energy: actual power produced divided by potential power produced\n", - " - {py:meth}`wombat.core.post_processor.Metrics.production_based_availability`\n", - " - time: The ratio of all non-zero hours to all hours in the simulation, or the proportion of the simulation where turbines are operating\n", - " - {py:meth}`wombat.core.post_processor.Metrics.time_based_availability`\n", + "\n", + "- energy: actual power produced divided by potential power produced\n", + " - {py:meth}`wombat.core.post_processor.Metrics.production_based_availability`\n", + "- time: The ratio of all non-zero hours to all hours in the simulation, or the\n", + " proportion of the simulation where turbines are operating\n", + " - {py:meth}`wombat.core.post_processor.Metrics.time_based_availability`\n", "\n", "Here, we will go through the various input definitions to get time-based availability data as both methods use the same inputs, and provide outputs in the same format.\n", "\n", "**Inputs**:\n", "\n", - "- `frequency`, as explained [above](#common-parameter-explanations) options: \"project\", \"annual\", \"monthly\", and \"month-year\"\n", - "- `by`, as explained [above](#common-parameter-explanations) options: \"windfarm\" and \"turbine\"\n", - "\n", + "- `frequency`, as explained [above](#common-parameter-explanations) options: \"project\",\n", + " \"annual\", \"monthly\", and \"month-year\"\n", + "- `by`, as explained [above](#common-parameter-explanations) options: \"windfarm\" and\n", + " \"turbine\"\n", "\n", - "Below is a demonstration of the variations on `frequency` and `by` for `time_based_availability`." + "Below is a demonstration of the variations on `frequency` and `by` for\n", + "`time_based_availability`." ] }, { "cell_type": "code", "execution_count": 3, - "id": "8e1ad318", + "id": "c117c1bd", "metadata": { "tags": [ "output_scroll" @@ -177,23 +200,23 @@ "text/html": [ "\n", - "\n", + "
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 windfarmwindfarm
year
20031.0020031.00
20041.0020041.00
20051.0020051.00
20061.0020061.00
20071.0020071.00
20081.0020081.00
20091.0020091.00
20101.0020101.00
20111.0020111.00
20121.0020121.00
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 windfarmwindfarm
month
11.0011.00
21.0021.00
31.0031.00
41.0041.00
51.0051.00
61.0061.00
71.0071.00
81.0081.00
91.0091.00
101.00101.00
111.00111.00
121.00121.00
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  windfarmwindfarm
year
200311.00200311.00
21.0021.00
31.0031.00
41.0041.00
51.0051.00
61.0061.00
71.0071.00
81.0081.00
91.0091.00
101.00101.00
111.00111.00
121.00121.00
200411.00200411.00
21.0021.00
31.0031.00
41.0041.00
51.0051.00
61.0061.00
71.0071.00
81.0081.00
91.0091.00
101.00101.00
111.00111.00
121.00121.00
200511.00200511.00
21.0021.00
31.0031.00
41.0041.00
51.0051.00
61.0061.00
71.0071.00
81.0081.00
91.0091.00
101.00101.00
111.00111.00
121.00121.00
200611.00200611.00
21.0021.00
31.0031.00
41.0041.00
51.0051.00
61.0061.00
71.0071.00
81.0081.00
91.0091.00
101.00101.00
111.00111.00
121.00121.00
200711.00200711.00
21.0021.00
31.0031.00
41.0041.00
51.0051.00
61.0061.00
71.0071.00
81.0081.00
91.0091.00
101.00101.00
111.00111.00
121.00121.00
200811.00200811.00
21.0021.00
31.0031.00
41.0041.00
51.0051.00
61.0061.00
71.0071.00
81.0081.00
91.0091.00
101.00101.00
111.00111.00
121.00121.00
200911.00200911.00
21.0021.00
31.0031.00
41.0041.00
51.0051.00
61.0061.00
71.0071.00
81.0081.00
91.0091.00
101.00101.00
111.00111.00
121.00121.00
201011.00201011.00
21.0021.00
31.0031.00
41.0041.00
51.0051.00
61.0061.00
71.0071.00
81.0081.00
91.0091.00
101.00101.00
111.00111.00
121.00121.00
201111.00201111.00
21.0021.00
31.0031.00
41.0041.00
51.0051.00
61.0061.00
71.0071.00
81.0081.00
91.0091.00
101.00101.00
111.00111.00
121.00121.00
201211.00201211.00
21.0021.00
31.0031.00
41.0041.00
51.0051.00
61.0061.00
71.0071.00
81.0081.00
91.0091.00
101.00101.00
111.00111.00
121.00121.00
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 8, @@ -1173,20 +1197,24 @@ }, { "cell_type": "markdown", - "id": "e24201c0", + "id": "e5c553a9", "metadata": {}, "source": [ "## Capacity Factor\n", "\n", - "The capacity factor is the ratio of actual (net) or potential (gross) energy production divided by the project's capacity. For further documentation, see the API docs here: {py:meth}`wombat.core.post_processor.Metrics.capacity_factor`.\n", + "The capacity factor is the ratio of actual (net) or potential (gross) energy production\n", + "divided by the project's capacity. For further documentation, see the API docs here:\n", + "{py:meth}`wombat.core.post_processor.Metrics.capacity_factor`.\n", "\n", "**Inputs**:\n", "\n", "- `which`\n", - " - \"net\": net capcity factor, actual production divided by the plant capacity\n", + " - \"net\": net capacity factor, actual production divided by the plant capacity\n", " - \"gross\": gross capacity factor, potential production divided by the plant capacity\n", - "- `frequency`, as explained [above](#common-parameter-explanations), options: \"project\", \"annual\", \"monthly\", and \"month-year\"\n", - "- `by`, as explained [above](#common-parameter-explanations), options: \"windfarm\" and \"turbine\"\n", + "- `frequency`, as explained [above](#common-parameter-explanations), options: \"project\",\n", + " \"annual\", \"monthly\", and \"month-year\"\n", + "- `by`, as explained [above](#common-parameter-explanations), options: \"windfarm\" and\n", + " \"turbine\"\n", "\n", "**Example Usage**:" ] @@ -1194,7 +1222,7 @@ { "cell_type": "code", "execution_count": 9, - "id": "d256066e", + "id": "618594eb", "metadata": { "tags": [ "output_scroll" @@ -1219,20 +1247,25 @@ }, { "cell_type": "markdown", - "id": "ea8f25ba", + "id": "7378ed8a", "metadata": {}, "source": [ "## Task Completion Rate\n", "\n", - "The task completion rate is the ratio of tasks completed aggregated to the desired `frequency`. It is possible to have a >100% completion rate if all maintenance and failure requests submitted in a time period were completed in addition to those that went unfinished in prior time periods. For further documentation, see the API docs here: {py:meth}`wombat.core.post_processor.Metrics.task_completion_rate`.\n", + "The task completion rate is the ratio of tasks completed aggregated to the desired\n", + "`frequency`. It is possible to have a >100% completion rate if all maintenance and\n", + "failure requests submitted in a time period were completed in addition to those that\n", + "went unfinished in prior time periods. For further documentation, see the API docs here:\n", + "{py:meth}`wombat.core.post_processor.Metrics.task_completion_rate`.\n", "\n", "**Inputs**:\n", "\n", "- `which`\n", - " - \"scheduled\": scheduled maintenance only (classified as maintenace tasks in inputs)\n", + " - \"scheduled\": scheduled maintenance only (classified as maintenance tasks in inputs)\n", " - \"unscheduled\": unscheduled maintenance only (classified as failure events in inputs)\n", " - \"both\": Combined completion rate for all tasks\n", - "- `frequency`, as explained [above](#common-parameter-explanations), options: \"project\", \"annual\", \"monthly\", and \"month-year\"\n", + "- `frequency`, as explained [above](#common-parameter-explanations), options: \"project\",\n", + " \"annual\", \"monthly\", and \"month-year\"\n", "\n", "**Example Usage**:" ] @@ -1240,7 +1273,7 @@ { "cell_type": "code", "execution_count": 10, - "id": "447d8fe3", + "id": "0794011d", "metadata": { "tags": [ "output_scroll" @@ -1251,9 +1284,9 @@ "name": "stdout", "output_type": "stream", "text": [ - " Scheduled Task Completion Rate: 66.76%\n", - "Unscheduled Task Completion Rate: 99.53%\n", - " Overall Task Completion Rate: 97.02%\n" + " Scheduled Task Completion Rate: 67.93%\n", + "Unscheduled Task Completion Rate: 99.59%\n", + " Overall Task Completion Rate: 97.15%\n" ] } ], @@ -1268,16 +1301,19 @@ }, { "cell_type": "markdown", - "id": "87fb4950", + "id": "a2315255", "metadata": {}, "source": [ "## Equipment Costs\n", "\n", - "Sum of the costs associated with a simulation's servicing equipment, which excludes materials, downtime, etc. For further documentation, see the API docs here: {py:meth}`wombat.core.post_processor.Metrics.equipment_costs`.\n", + "Sum of the costs associated with a simulation's servicing equipment, which excludes\n", + "materials, downtime, etc. For further documentation, see the API docs here:\n", + "{py:meth}`wombat.core.post_processor.Metrics.equipment_costs`.\n", "\n", "**Inputs**:\n", "\n", - "- `frequency`, as explained [above](#common-parameter-explanations), options: \"project\", \"annual\", \"monthly\", and \"month-year\"\n", + "- `frequency`, as explained [above](#common-parameter-explanations), options: \"project\",\n", + " \"annual\", \"monthly\", and \"month-year\"\n", "- `by_equipment`\n", " - `True`: Aggregates all equipment into a single cost\n", " - `False`: Computes for each unit of servicing equipment\n", @@ -1288,7 +1324,7 @@ { "cell_type": "code", "execution_count": 11, - "id": "5482286f", + "id": "5eccd826", "metadata": { "tags": [ "output_scroll" @@ -1300,23 +1336,23 @@ "text/html": [ "\n", - "\n", + "
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 equipment_costequipment_cost
0119,978,754.030120,083,490.99
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 11, @@ -1332,7 +1368,7 @@ { "cell_type": "code", "execution_count": 12, - "id": "8594a7de", + "id": "a61f87fc", "metadata": { "tags": [ "output_scroll" @@ -1352,31 +1388,31 @@ "text/html": [ "\n", - "\n", + "
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 Crew Transfer Vessel 1Crew Transfer Vessel 2Crew Transfer Vessel 3Field Support VesselHeavy Lift VesselCrew Transfer Vessel 1Crew Transfer Vessel 2Crew Transfer Vessel 3Field Support VesselHeavy Lift Vessel
06,390,480.236,390,481.816,390,479.983,146,640.1497,660,671.8806,390,493.196,390,489.486,390,488.373,003,573.7797,908,446.18
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 12, @@ -1391,16 +1427,20 @@ }, { "cell_type": "markdown", - "id": "7e12b50f", + "id": "14cae834", "metadata": {}, "source": [ "## Service Equipment Utilization Rate\n", "\n", - "Ratio of days when the servicing equipment is in use (not delayed for a whole day due to either weather or lack of repairs to be completed) to the number of days it's present in the simulation. For further documentation, see the API docs here: {py:meth}`wombat.core.post_processor.Metrics.service_equipment_utilization`.\n", + "Ratio of days when the servicing equipment is in use (not delayed for a whole day due to\n", + "either weather or lack of repairs to be completed) to the number of days it's present in\n", + "the simulation. For further documentation, see the API docs here:\n", + "{py:meth}`wombat.core.post_processor.Metrics.service_equipment_utilization`.\n", "\n", "**Inputs**:\n", "\n", - "- `frequency`, as explained [above](#common-parameter-explanations), options: \"project\" and \"annual\"\n", + "- `frequency`, as explained [above](#common-parameter-explanations), options: \"project\"\n", + " and \"annual\"\n", "\n", "**Example Usage**:" ] @@ -1408,7 +1448,7 @@ { "cell_type": "code", "execution_count": 13, - "id": "29c4215b", + "id": "9c3d6613", "metadata": { "tags": [ "output_scroll" @@ -1420,31 +1460,31 @@ "text/html": [ "\n", - "\n", + "
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 Crew Transfer Vessel 1Crew Transfer Vessel 2Crew Transfer Vessel 3Field Support VesselHeavy Lift VesselCrew Transfer Vessel 1Crew Transfer Vessel 2Crew Transfer Vessel 3Field Support VesselHeavy Lift Vessel
01.001.001.000.940.9301.001.001.000.930.93
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 13, @@ -1459,20 +1499,26 @@ }, { "cell_type": "markdown", - "id": "8f9bdf23", + "id": "b5bfe92e", "metadata": {}, "source": [ "## Vessel-Crew Hours at Sea\n", "\n", - "The number of vessel hours or crew hours at sea for offshore wind power plant simulations. For further documentation, see the API docs here: {py:meth}`wombat.core.post_processor.Metrics.vessel_crew_hours_at_sea`.\n", + "The number of vessel hours or crew hours at sea for offshore wind power plant\n", + "simulations. For further documentation, see the API docs here:\n", + "{py:meth}`wombat.core.post_processor.Metrics.vessel_crew_hours_at_sea`.\n", "\n", "**Inputs**:\n", "\n", - "- `frequency`, as explained [above](#common-parameter-explanations), options: \"project\", \"annual\", \"monthly\", and \"month-year\"\n", + "- `frequency`, as explained [above](#common-parameter-explanations), options: \"project\",\n", + " \"annual\", \"monthly\", and \"month-year\"\n", "- `by_equipment`\n", " - `True`: Aggregates all equipment into a single cost\n", " - `False`: Computes for each unit of servicing equipment\n", - "- `vessel_crew_assumption`: A dictionary of vessel names (`ServiceEquipment.settings.name`, but also found at `Metrics.service_equipment_names`) and the number of crew onboard at any given time. The application of this assumption transforms the results from vessel hours at sea to crew hours at sea.\n", + "- `vessel_crew_assumption`: A dictionary of vessel names\n", + " (`ServiceEquipment.settings.name`, but also found at `Metrics.service_equipment_names`)\n", + " and the number of crew onboard at any given time. The application of this assumption\n", + " transforms the results from vessel hours at sea to crew hours at sea.\n", "\n", "**Example Usage**:" ] @@ -1480,7 +1526,7 @@ { "cell_type": "code", "execution_count": 14, - "id": "cbc3d70c", + "id": "f577fcc9", "metadata": { "tags": [ "output_scroll" @@ -1492,23 +1538,23 @@ "text/html": [ "\n", - "\n", + "
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 Total Crew Hours at SeaTotal Crew Hours at Sea
0162,477.650162,196.73
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 14, @@ -1524,7 +1570,7 @@ { "cell_type": "code", "execution_count": 15, - "id": "7363fbc6", + "id": "9f84708a", "metadata": { "tags": [ "output_scroll" @@ -1536,16 +1582,16 @@ "text/html": [ "\n", - "\n", + "
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 Total Crew Hours at SeaCrew Transfer Vessel 1Crew Transfer Vessel 2Crew Transfer Vessel 3Field Support VesselHeavy Lift VesselTotal Crew Hours at SeaCrew Transfer Vessel 1Crew Transfer Vessel 2Crew Transfer Vessel 3Heavy Lift VesselField Support Vessel
year
20037,500.721,818.491,691.991,828.24673.001,489.00
200415,403.704,042.504,067.974,042.97597.002,653.25
200514,827.674,113.744,106.194,101.49600.001,906.25
200619,293.504,248.414,218.984,217.701,305.005,303.41
200717,830.314,187.464,221.474,192.22600.004,629.16
200818,935.174,253.974,267.474,216.73665.005,531.99
200914,905.704,285.964,265.744,223.250.002,130.75
201017,464.434,130.744,116.994,113.451,277.003,826.25
201118,228.744,136.224,149.754,148.76630.505,163.50
201218,087.714,164.484,176.464,159.471,232.004,355.3020039,398.611,929.741,605.721,845.993,381.15636.00
200415,544.634,224.984,233.194,206.222,279.25601.00
200517,115.654,140.654,089.644,117.684,125.17642.50
200616,844.714,198.704,206.494,224.733,609.80605.00
200714,668.144,170.524,161.464,150.002,186.160.00
200818,268.434,224.474,230.254,233.403,773.161,807.15
200916,236.554,291.984,302.984,292.263,254.9894.35
201017,340.844,157.974,155.504,181.734,199.63646.00
201116,723.504,147.504,162.244,147.983,633.78632.00
201220,055.674,201.704,208.244,190.745,744.501,710.50
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 15, @@ -1667,16 +1713,20 @@ }, { "cell_type": "markdown", - "id": "72863683", + "id": "6bcbabc7", "metadata": {}, "source": [ "## Number of Tows\n", "\n", - "The number of tows performed during the simulation. If tow-to-port was not used in the simulation, a DataFrame with a single value of 0 will be returned. For further documentation, see the API docs here: {py:meth}`wombat.core.post_processor.Metrics.number_of_tows`.\n", + "The number of tows performed during the simulation. If tow-to-port was not used in the\n", + "simulation, a DataFrame with a single value of 0 will be returned. For further\n", + "documentation, see the API docs here:\n", + "{py:meth}`wombat.core.post_processor.Metrics.number_of_tows`.\n", "\n", "**Inputs**:\n", "\n", - "- `frequency`, as explained [above](#common-parameter-explanations), options: \"project\", \"annual\", \"monthly\", and \"month-year\"\n", + "- `frequency`, as explained [above](#common-parameter-explanations), options: \"project\",\n", + " \"annual\", \"monthly\", and \"month-year\"\n", "- `by_tug`\n", " - `True`: Computed for each tugboat (towing vessel)\n", " - `False`: Aggregates all the tugboats\n", @@ -1690,7 +1740,7 @@ { "cell_type": "code", "execution_count": 16, - "id": "2eecd3fe", + "id": "002a24bc", "metadata": { "tags": [ "output_scroll" @@ -1702,23 +1752,23 @@ "text/html": [ "\n", - "\n", + "
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 total_towstotal_tows
0000
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 16, @@ -1734,16 +1784,19 @@ }, { "cell_type": "markdown", - "id": "5422f93f", + "id": "363811c5", "metadata": {}, "source": [ "## Labor Costs\n", "\n", - "Sum of all labor costs associated with servicing equipment, excluding the labor defined in the fixed costs, which can be broken out by type. For further documentation, see the API docs here: {py:meth}`wombat.core.post_processor.Metrics.labor_costs`.\n", + "Sum of all labor costs associated with servicing equipment, excluding the labor defined\n", + "in the fixed costs, which can be broken out by type. For further documentation, see the\n", + "API docs here: {py:meth}`wombat.core.post_processor.Metrics.labor_costs`.\n", "\n", "**Inputs**:\n", "\n", - "- `frequency`, as explained [above](#common-parameter-explanations), options: \"project\", \"annual\", \"monthly\", and \"month-year\"\n", + "- `frequency`, as explained [above](#common-parameter-explanations), options: \"project\",\n", + " \"annual\", \"monthly\", and \"month-year\"\n", "- `by_type`\n", " - `True`: Computed for each labor type (salary and hourly)\n", " - `False`: Aggregates all the labor costs\n", @@ -1754,7 +1807,7 @@ { "cell_type": "code", "execution_count": 17, - "id": "5dfb40d4", + "id": "b6ada0ea", "metadata": { "tags": [ "output_scroll" @@ -1778,7 +1831,7 @@ { "cell_type": "code", "execution_count": 18, - "id": "a43fcec9", + "id": "0810be84", "metadata": { "tags": [ "output_scroll" @@ -1790,27 +1843,27 @@ "text/html": [ "\n", - "\n", + "
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 hourly_labor_costsalary_labor_costtotal_labor_costhourly_labor_costsalary_labor_costtotal_labor_cost
00000000
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 18, @@ -1826,29 +1879,38 @@ }, { "cell_type": "markdown", - "id": "5027a1c0", + "id": "dd89dd46", "metadata": {}, "source": [ "## Equipment and Labor Costs\n", "\n", - "Sum of all labor and servicing equipment costs, excluding the labor defined in the fixed costs, which can be broken out by each category. For further documentation, see the API docs here: {py:meth}`wombat.core.post_processor.Metrics.equipment_labor_cost_breakdown`.\n", + "Sum of all labor and servicing equipment costs, excluding the labor defined in the fixed\n", + "costs, which can be broken out by each category. For further documentation, see the API\n", + "docs here: {py:meth}`wombat.core.post_processor.Metrics.equipment_labor_cost_breakdown`.\n", "\n", "**Inputs**:\n", "\n", - "- `frequency`, as explained [above](#common-parameter-explanations), options: \"project\", \"annual\", \"monthly\", and \"month-year\"\n", + "- `frequency`, as explained [above](#common-parameter-explanations), options: \"project\",\n", + " \"annual\", \"monthly\", and \"month-year\"\n", "- `by_category`\n", " - `True`: Computed for each unit servicing equipment and labor category\n", " - `False`: Aggregated to the sum of all costs\n", "\n", "`reason` definitions:\n", - " - Maintenance: routine maintenance, or events defined as a {py:class}`wombat.core.data_classes.Maintenance`\n", - " - Repair: unscheduled maintenance, ranging from inspections to replacements, or events defined as a {py:class}`wombat.core.data_classes.Failure`\n", - " - Mobilization: Cost of mobilizing servicing equipment\n", - " - Crew Transfer: Costs incurred while crew are transfering between a turbine or substation and the servicing equipment\n", - " - Site Travel: Costs incurred while transiting to/from the site and while at the site\n", - " - Weather Delay: Any delays caused by unsafe weather conditions\n", - " - No Requests: Equipment and labor is active, but there are no repairs or maintenance tasks to be completed\n", - " - Not in Shift: Any time outside of the operating hours of the wind farm (or the servicing equipment's specific operating hours)\n", + "\n", + "- Maintenance: routine maintenance, or events defined as a\n", + " {py:class}`wombat.core.data_classes.Maintenance`\n", + "- Repair: unscheduled maintenance, ranging from inspections to replacements, or events\n", + " defined as a {py:class}`wombat.core.data_classes.Failure`\n", + "- Mobilization: Cost of mobilizing servicing equipment\n", + "- Crew Transfer: Costs incurred while crew are transferring between a turbine or\n", + " substation and the servicing equipment\n", + "- Site Travel: Costs incurred while transiting to/from the site and while at the site\n", + "- Weather Delay: Any delays caused by unsafe weather conditions\n", + "- No Requests: Equipment and labor is active, but there are no repairs or maintenance\n", + " tasks to be completed\n", + "- Not in Shift: Any time outside the operating hours of the wind farm (or the\n", + " servicing equipment's specific operating hours)\n", "\n", "**Example Usage**:" ] @@ -1856,7 +1918,7 @@ { "cell_type": "code", "execution_count": 19, - "id": "6c39fb2b", + "id": "abe800ee", "metadata": { "tags": [ "output_scroll" @@ -1868,12 +1930,12 @@ "text/html": [ "\n", - "\n", + "
\n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -1883,50 +1945,50 @@ " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", " \n", "
 total_costtotal_hourstotal_costtotal_hours
reason
Maintenance1,925,000.0026,400.00Maintenance2,100,000.0028,800.00
Repair39,965,193.5767,183.79Repair35,540,194.7064,547.94
Crew Transfer1,259,750.0010,571.00Crew Transfer1,184,078.1210,431.00
Site Travel0.000.00Site Travel0.000.00
Mobilization9,500,000.0033,408.00Mobilization9,500,000.0033,408.00
Weather Delay30,853,193.2835,724.91Weather Delay30,414,050.2135,754.15
No Requests26,882,656.2528,029.70No Requests32,320,462.9328,012.52
Not in Shift9,592,960.93117,161.35Not in Shift9,024,705.02117,203.75
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 19, @@ -1942,7 +2004,7 @@ { "cell_type": "code", "execution_count": 20, - "id": "590ebf1d", + "id": "b2306850", "metadata": { "tags": [ "output_scroll" @@ -1954,16 +2016,16 @@ "text/html": [ "\n", - "\n", + "
\n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -1977,82 +2039,82 @@ " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", "
 hourly_labor_costsalary_labor_costtotal_labor_costequipment_costtotal_costtotal_hourshourly_labor_costsalary_labor_costtotal_labor_costequipment_costtotal_costtotal_hours
reason
Maintenance0001,925,000.001,925,000.0026,400.00
Repair00039,965,193.5739,965,193.5767,183.79
Crew Transfer0001,259,750.001,259,750.0010,571.00
Site Travel0000.000.000.00
Mobilization0009,500,000.009,500,000.0033,408.00
Weather Delay00030,853,193.2830,853,193.2835,724.91
No Requests00026,882,656.2526,882,656.2528,029.70
Not in Shift0009,592,960.939,592,960.93117,161.35Maintenance0002,100,000.002,100,000.0028,800.00
Repair00035,540,194.7035,540,194.7064,547.94
Crew Transfer0001,184,078.121,184,078.1210,431.00
Site Travel0000.000.000.00
Mobilization0009,500,000.009,500,000.0033,408.00
Weather Delay00030,414,050.2130,414,050.2135,754.15
No Requests00032,320,462.9332,320,462.9328,012.52
Not in Shift0009,024,705.029,024,705.02117,203.75
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 20, @@ -2067,24 +2129,31 @@ }, { "cell_type": "markdown", - "id": "993a336c", + "id": "088adbc9", "metadata": {}, "source": [ "## Emissions\n", "\n", - "Emissions (tons or other provided units) of all servicing equipment activity, except overnight waiting periods between shifts. For further documentation, see the API docs here: {py:meth}`wombat.core.post_processor.Metrics.emissions`.\n", + "Emissions (tons or other provided units) of all servicing equipment activity, except\n", + "overnight waiting periods between shifts. For further documentation, see the API docs\n", + "here: {py:meth}`wombat.core.post_processor.Metrics.emissions`.\n", "\n", "**Inputs**:\n", "\n", - "- `emissions_factors`: Dictionary of servicing equipment names and the emissions per hour of the following activities: `transit`, `maneuvering`, `idle at site`, and `idle at port`, where port is stand-in for wherever the servicing equipment might be based when not at site.\n", - "- `maneuvering_factor`: The proportion of transit time that can generally be associated with positioning servicing, by default 10%.\n", - "- `port_engine_on_factor`: The proportion of the idling at port time where the engine is running and producing emissions, by default 25%." + "- `emissions_factors`: Dictionary of servicing equipment names and the emissions per\n", + " hour of the following activities: `transit`, `maneuvering`, `idle at site`, and\n", + " `idle at port`, where port is stand-in for wherever the servicing equipment might be\n", + " based when not at site.\n", + "- `maneuvering_factor`: The proportion of transit time that can generally be associated\n", + " with positioning servicing, by default 10%.\n", + "- `port_engine_on_factor`: The proportion of the idling at port time when the engine is\n", + " running and producing emissions, by default 25%." ] }, { "cell_type": "code", "execution_count": 21, - "id": "4d50c116", + "id": "f71ba103", "metadata": {}, "outputs": [ { @@ -2092,14 +2161,14 @@ "text/html": [ "\n", - "\n", + "
\n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -2111,135 +2180,135 @@ " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", "
  durationdistance_kmemissionsdurationdistance_kmemissions
agent
Crew Transfer Vessel 1idle at port0.000.000.00Crew Transfer Vessel 1idle at port0.000.000.00
idle at site39,350.970.0019,675.49idle at site39,657.220.0019,828.61
maneuvering0.000.000.00maneuvering0.000.000.00
transit0.00inf0.00transit0.00inf0.00
Crew Transfer Vessel 2idle at port0.000.000.00Crew Transfer Vessel 2idle at port0.000.000.00
idle at site39,252.030.0019,626.01idle at site39,324.700.0019,662.35
maneuvering0.000.000.00maneuvering0.000.000.00
transit0.00inf0.00transit0.00inf0.00
Crew Transfer Vessel 3idle at port0.000.000.00Crew Transfer Vessel 3idle at port0.000.000.00
idle at site39,213.280.0019,606.64idle at site39,559.730.0019,779.86
maneuvering0.000.000.00maneuvering0.000.000.00
transit0.00inf0.00transit0.00inf0.00
Field Support Vesselidle at port1,118.880.00559.44Field Support Vesselidle at port1,118.880.00559.44
idle at site1,531.500.001,531.50idle at site1,326.500.001,326.50
maneuvering453.600.001,814.40maneuvering453.600.001,814.40
transit5,594.40inf33,566.40transit5,594.400.0033,566.40
Heavy Lift Vesselidle at port5,061.600.002,530.80Heavy Lift Vesselidle at port5,061.600.002,530.80
idle at site9,628.870.009,628.87idle at site8,827.580.008,827.58
maneuvering2,052.000.0014,364.00maneuvering2,052.000.0014,364.00
transit25,308.00inf303,696.00transit25,308.00inf303,696.00
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 21, @@ -2287,27 +2356,34 @@ }, { "cell_type": "markdown", - "id": "d211c000", + "id": "59c7b115", "metadata": {}, "source": [ "## Component Costs\n", "\n", - "All of the costs associated with maintenance and failure events during the simulation, including delays incurred during the repair process, but excluding costs not directly tied to a repair. For further documentation, see the API docs here: {py:meth}`wombat.core.post_processor.Metrics.component_costs`.\n", + "All the costs associated with maintenance and failure events during the simulation,\n", + "including delays incurred during the repair process, but excluding costs not directly\n", + "tied to a repair. For further documentation, see the API docs here:\n", + "{py:meth}`wombat.core.post_processor.Metrics.component_costs`.\n", "\n", "**Inputs**:\n", "\n", - "- `frequency`, as explained [above](#common-parameter-explanations), options: \"project\", \"annual\", \"monthly\", and \"month-year\"\n", + "- `frequency`, as explained [above](#common-parameter-explanations), options: \"project\",\n", + " \"annual\", \"monthly\", and \"month-year\"\n", "- `by_category`\n", " - `True`: Computed across each cost category\n", " - `False`: Aggregated to the sum of all categories\n", "- `by_action`\n", - " - `True`: Computed by each of \"repair\", \"maintenance\", and \"delay\", and is included in the MultiIndex\n", + " - `True`: Computed by each of \"repair\", \"maintenance\", and \"delay\", and is included in\n", + " the MultiIndex\n", " - `False`: Aggregated as the sum of all actions\n", "\n", "`action` definitions:\n", - " - maintenance: routine maintenance\n", - " - repair: unscheduled maintenance, ranging from inspections to replacements\n", - " - delay: Any delays caused by unsafe weather conditions or not being able to finish a process within a single shift\n", + "\n", + "- maintenance: routine maintenance\n", + "- repair: unscheduled maintenance, ranging from inspections to replacements\n", + "- delay: Any delays caused by unsafe weather conditions or not being able to finish a\n", + " process within a single shift\n", "\n", "**Example Usage**:" ] @@ -2315,7 +2391,7 @@ { "cell_type": "code", "execution_count": 22, - "id": "05e806eb", + "id": "8e9685af", "metadata": { "tags": [ "output_scroll" @@ -2327,11 +2403,11 @@ "text/html": [ "\n", - "\n", + "
\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2340,14 +2416,14 @@ " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", "
 total_costtotal_cost
component
turbine138,859,892.42turbine130,577,212.07
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 22, @@ -2363,7 +2439,7 @@ { "cell_type": "code", "execution_count": 23, - "id": "02845234", + "id": "445ad043", "metadata": { "tags": [ "output_scroll" @@ -2375,15 +2451,15 @@ "text/html": [ "\n", - "\n", + "
\n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -2396,32 +2472,32 @@ " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", "
  materials_costtotal_labor_costequipment_costtotal_costmaterials_costtotal_labor_costequipment_costtotal_cost
component
turbinedelay0040,394,948.8540,394,948.85turbinedelay0039,425,439.2439,425,439.24
maintenance001,925,000.001,925,000.00maintenance002,100,000.002,100,000.00
repair0039,965,193.5739,965,193.57repair0035,540,194.7035,540,194.70
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 23, @@ -2436,16 +2512,19 @@ }, { "cell_type": "markdown", - "id": "f35a88e5", + "id": "8503f08c", "metadata": {}, "source": [ "## Fixed Cost Impacts\n", "\n", - "Computes the total costs of the fixed costs categories. For further documentation, see the defintion docs, here: {py:class}`wombat.core.data_classes.FixedCosts`, or the API docs here: {py:meth}`wombat.core.post_processor.Metrics.fixed_costs`.\n", + "Computes the total costs of the fixed costs categories. For further documentation, see\n", + "the definition docs, here: {py:class}`wombat.core.data_classes.FixedCosts`, or the API\n", + "docs here: {py:meth}`wombat.core.post_processor.Metrics.fixed_costs`.\n", "\n", "**Inputs**:\n", "\n", - "- `frequency`, as explained [above](#common-parameter-explanations), options: \"project\", \"annual\", \"monthly\", and \"month-year\"\n", + "- `frequency`, as explained [above](#common-parameter-explanations), options: \"project\",\n", + " \"annual\", \"monthly\", and \"month-year\"\n", "- `resolution` (also, demonstrated below)\n", " - \"high\": Computed across the most granular cost levels\n", " - \"medium\": Computed for each general cost category\n", @@ -2455,7 +2534,7 @@ { "cell_type": "code", "execution_count": 24, - "id": "ef644acb", + "id": "24eebbd0", "metadata": { "tags": [ "output_scroll" @@ -2490,7 +2569,7 @@ }, { "cell_type": "markdown", - "id": "680d559b", + "id": "554371b5", "metadata": {}, "source": [ "**Example Usage**:" @@ -2499,7 +2578,7 @@ { "cell_type": "code", "execution_count": 25, - "id": "1ad2d2f6", + "id": "065633b0", "metadata": { "tags": [ "output_scroll" @@ -2511,23 +2590,23 @@ "text/html": [ "\n", - "\n", + "
\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", "
 operationsoperations
016,013,230.75016,013,230.75
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 25, @@ -2545,7 +2624,7 @@ { "cell_type": "code", "execution_count": 26, - "id": "554de8ad", + "id": "23ae47c4", "metadata": { "tags": [ "output_scroll" @@ -2557,35 +2636,35 @@ "text/html": [ "\n", - "\n", + "
\n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", "
 operations_management_administrationinsuranceannual_leases_feesoperating_facilitiesenvironmental_health_safety_monitoringonshore_electrical_maintenancelaboroperations_management_administrationinsuranceannual_leases_feesoperating_facilitiesenvironmental_health_safety_monitoringonshore_electrical_maintenancelabor
00.000.000.000.000.000.0016,013,230.7500.000.000.000.000.000.0016,013,230.75
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 26, @@ -2601,7 +2680,7 @@ { "cell_type": "code", "execution_count": 27, - "id": "e5c13003", + "id": "aaa474f3", "metadata": { "tags": [ "output_scroll" @@ -2613,51 +2692,51 @@ "text/html": [ "\n", - "\n", + "
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 project_management_administrationmarine_managementweather_forecastingcondition_monitoringbrokers_feeoperations_all_riskbusiness_interruptionthird_party_liabilitystorm_coveragesubmerge_land_lease_coststransmission_charges_rightsoperating_facilitiesenvironmental_health_safety_monitoringonshore_electrical_maintenancelaborproject_management_administrationmarine_managementweather_forecastingcondition_monitoringbrokers_feeoperations_all_riskbusiness_interruptionthird_party_liabilitystorm_coveragesubmerge_land_lease_coststransmission_charges_rightsoperating_facilitiesenvironmental_health_safety_monitoringonshore_electrical_maintenancelabor
00.000.000.000.000.000.000.000.000.000.000.000.000.000.0016,013,230.7500.000.000.000.000.000.000.000.000.000.000.000.000.000.0016,013,230.75
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 27, @@ -2672,18 +2751,23 @@ }, { "cell_type": "markdown", - "id": "7bce27dd", + "id": "83b47b7b", "metadata": {}, "source": [ "## OpEx\n", "\n", - "Computes the total cost of all operating expenditures for the duration of the simulation, including fixed costs. For further documentation, see the API docs here: {py:meth}`wombat.core.post_processor.Metrics.opex`.\n", + "Computes the total cost of all operating expenditures for the duration of the\n", + "simulation, including fixed costs. For further documentation, see the API docs here:\n", + "{py:meth}`wombat.core.post_processor.Metrics.opex`.\n", + "\n", "**Inputs**:\n", "\n", - "- `frequency`, as explained [above](#common-parameter-explanations), options: \"project\", \"annual\", \"monthly\", and \"month-year\"\n", + "- `frequency`, as explained [above](#common-parameter-explanations), options: \"project\",\n", + " \"annual\", \"monthly\", and \"month-year\"\n", "\n", "- `by_category`\n", - " - `True` shows the port fees, fixed costs, labor costs, equipment costs, and materials costs in addition the total OpEx\n", + " - `True` shows the port fees, fixed costs, labor costs, equipment costs, and materials\n", + " costs in addition the total OpEx\n", " - `False` shows only the total OpEx\n", "\n", "**Example Usage**:" @@ -2692,7 +2776,7 @@ { "cell_type": "code", "execution_count": 28, - "id": "ecd0578f", + "id": "36e7dfe5", "metadata": { "tags": [ "output_scroll" @@ -2704,11 +2788,11 @@ "text/html": [ "\n", - "\n", + "
\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2717,50 +2801,50 @@ " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", "
 OpExOpEx
year
20035,836,642.22200311,336,836.24
200419,102,199.71200418,936,353.15
200513,296,678.10200520,621,343.14
200620,666,677.54200617,078,727.06
200726,914,886.36200715,004,115.44
200824,544,829.19200819,815,276.60
200914,166,590.47200913,014,482.40
201019,795,872.40201026,361,501.58
201119,701,569.32201119,194,277.86
201227,281,039.47201227,061,308.27
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 28, @@ -2775,7 +2859,7 @@ { "cell_type": "code", "execution_count": 29, - "id": "b6236d51", + "id": "264d09b2", "metadata": { "tags": [ "output_scroll" @@ -2787,16 +2871,16 @@ "text/html": [ "\n", - "\n", + "
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 operationsport_feesequipment_costtotal_labor_costmaterials_costOpExoperationsport_feesequipment_costtotal_labor_costmaterials_costOpEx
year
20031,600,008.0003,176,634.2201,060,0005,836,642.22
20041,604,391.58011,794,808.1205,703,00019,102,199.71
20051,600,008.0007,302,670.1004,394,00013,296,678.10
20061,600,008.00012,483,169.5406,583,50020,666,677.54
20071,600,008.00017,580,878.3607,734,00026,914,886.36
20081,604,391.58016,659,937.6006,280,50024,544,829.19
20091,600,008.0007,809,082.4704,757,50014,166,590.47
20101,600,008.00012,835,364.4005,360,50019,795,872.40
20111,600,008.00012,380,061.3205,721,50019,701,569.32
20121,604,391.58017,956,147.8907,720,50027,281,039.4720031,600,008.0007,192,328.2402,544,50011,336,836.24
20041,604,391.58012,333,461.5604,998,50018,936,353.15
20051,600,008.00013,129,835.1405,891,50020,621,343.14
20061,600,008.00010,378,219.0605,100,50017,078,727.06
20071,600,008.0009,708,607.4403,695,50015,004,115.44
20081,604,391.58012,667,885.0105,543,00019,815,276.60
20091,600,008.0007,246,974.4004,167,50013,014,482.40
20101,600,008.00017,409,993.5807,351,50026,361,501.58
20111,600,008.00012,392,769.8605,201,50019,194,277.86
20121,604,391.58017,623,416.6907,833,50027,061,308.27
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 29, @@ -2917,12 +3001,15 @@ }, { "cell_type": "markdown", - "id": "0eb0ab7c", + "id": "428e703d", "metadata": {}, "source": [ "## Process Times\n", "\n", - "Computes the total number of hours spent from repair request submission to completion, performing repairs, and the number of rquest for each repair category. For further documentation, see the API docs here: {py:meth}`wombat.core.post_processor.Metrics.process_times`.\n", + "Computes the total number of hours spent from repair request submission to completion,\n", + "performing repairs, and the number of request for each repair category. For further\n", + "documentation, see the API docs here:\n", + "{py:meth}`wombat.core.post_processor.Metrics.process_times`.\n", "\n", "**Example Usage**:" ] @@ -2930,7 +3017,7 @@ { "cell_type": "code", "execution_count": 30, - "id": "f5597910", + "id": "b8cd1562", "metadata": { "tags": [ "output_scroll" @@ -2942,15 +3029,15 @@ "text/html": [ "\n", - "\n", + "
\n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -2963,58 +3050,58 @@ " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", "
 time_to_completionprocess_timedowntimetime_to_startNtime_to_completionprocess_timedowntimetime_to_startN
category
annual service5,748,588.1770,704.57121,566.043,586,813.541,086annual service5,956,041.4676,421.70125,422.984,205,532.091,054
major repair101,409.133,053.642,982.0078,728.7455major repair81,213.042,712.847,465.7672,581.3745
major replacement178,222.2110,334.8710,696.00162,862.00108major replacement176,481.259,497.9314,829.95166,417.2396
manual reset1,721,095.6085,749.37109,232.921,583,188.388,993manual reset1,307,146.6383,714.5695,690.001,206,095.158,655
medium repair28,943.5920,337.5120,172.088,101.38332medium repair24,831.6518,009.8817,895.237,198.78310
minor repair216,229.7266,544.1366,487.25130,605.573,608minor repair199,213.8366,157.4566,341.48122,615.553,519
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 30, @@ -3028,15 +3115,18 @@ }, { "cell_type": "markdown", - "id": "74d8d0db", + "id": "88999848", "metadata": {}, "source": [ "## Power Production\n", "\n", - "Computes the total power production for the wind farm. For further documentation, see the API docs here: {py:meth}`wombat.core.post_processor.Metrics.power_production`.\n", + "Computes the total power production for the wind farm. For further documentation, see\n", + "the API docs here: {py:meth}`wombat.core.post_processor.Metrics.power_production`.\n", + "\n", "**Inputs**:\n", "\n", - "- `frequency`, as explained [above](#common-parameter-explanations), options: \"project\", \"annual\", \"monthly\", and \"month-year\"\n", + "- `frequency`, as explained [above](#common-parameter-explanations), options: \"project\",\n", + " \"annual\", \"monthly\", and \"month-year\"\n", "- `by`, as explained [above](#common-parameter-explanations) options: \"windfarm\" and \"turbine\"\n", "- `units`\n", " - \"kwh\": kilowatt-hours (kWh)\n", @@ -3049,7 +3139,7 @@ { "cell_type": "code", "execution_count": 31, - "id": "41123f99", + "id": "dbced19d", "metadata": { "tags": [ "output_scroll" @@ -3061,23 +3151,23 @@ "text/html": [ "\n", - "\n", + "
\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", "
 windfarmwindfarm
Project Energy Production (kWh)9,687,118,469.50Project Energy Production (kWh)9,687,555,774.50
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 31, @@ -3093,7 +3183,7 @@ { "cell_type": "code", "execution_count": 32, - "id": "769abea3", + "id": "599c7e63", "metadata": { "tags": [ "output_scroll" @@ -3105,23 +3195,23 @@ "text/html": [ "\n", - "\n", + "
\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", "
 windfarmwindfarm
Project Energy Production (MWh)9,687,118.47Project Energy Production (MWh)9,687,555.77
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 32, @@ -3137,7 +3227,7 @@ { "cell_type": "code", "execution_count": 33, - "id": "6e9fabf2", + "id": "9bcaf656", "metadata": { "tags": [ "output_scroll" @@ -3149,23 +3239,23 @@ "text/html": [ "\n", - "\n", + "
\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", "
 windfarmwindfarm
Project Energy Production (GWh)9,687.12Project Energy Production (GWh)9,687.56
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 33, @@ -3180,26 +3270,29 @@ }, { "cell_type": "markdown", - "id": "9038ec9c", + "id": "ad5764ed", "metadata": {}, "source": [ "## Net Present Value\n", "\n", - "Calcualtes the net present value (NPV) for the project, as $NPV = (Power * OfftakePrice - OpEx) / (1 + DiscountRate)$.\n", + "Calcualtes the net present value (NPV) for the project, as\n", + "$NPV = (Power * OfftakePrice - OpEx) / (1 + DiscountRate)$.\n", "\n", "For further documentation, see the API docs here: {py:meth}`wombat.core.post_processor.Metrics.npv`.\n", "\n", "**Inputs**:\n", "\n", - "- `frequency`, as explained [above](#common-parameter-explanations), options: \"project\", \"annual\", \"monthly\", and \"month-year\"\n", - "- `discount_rate`: The rate of return that could be earned on alternative investments, by default 0.025.\n", + "- `frequency`, as explained [above](#common-parameter-explanations), options: \"project\",\n", + " \"annual\", \"monthly\", and \"month-year\"\n", + "- `discount_rate`: The rate of return that could be earned on alternative investments,\n", + " by default 0.025.\n", "- `offtake_price`: Price of energy, per MWh, by default 80." ] }, { "cell_type": "code", "execution_count": 34, - "id": "6fed8dc6", + "id": "9ae33f5c", "metadata": { "tags": [ "output_scroll" @@ -3211,11 +3304,11 @@ "text/html": [ "\n", - "\n", + "
\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -3224,50 +3317,50 @@ " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", "
 OpExOpEx
year
20035,836,642.22200311,336,836.24
200419,102,199.71200418,936,353.15
200513,296,678.10200520,621,343.14
200620,666,677.54200617,078,727.06
200726,914,886.36200715,004,115.44
200824,544,829.19200819,815,276.60
200914,166,590.47200913,014,482.40
201019,795,872.40201026,361,501.58
201119,701,569.32201119,194,277.86
201227,281,039.47201227,061,308.27
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 34, @@ -3307,59 +3400,59 @@ }, "source_map": [ 11, - 20, - 39, - 76, - 94, - 140, - 145, - 148, - 153, - 158, - 163, - 168, - 172, - 190, - 196, - 212, - 220, - 235, - 240, - 244, - 256, - 260, - 276, + 22, + 41, + 85, + 103, + 162, + 167, + 170, + 176, + 182, + 188, + 194, + 198, + 218, + 224, + 245, + 253, + 271, + 277, 281, - 285, - 303, - 308, + 297, + 301, 323, - 330, - 335, + 329, + 333, + 355, 360, - 365, - 369, - 381, - 417, - 440, - 445, - 449, - 463, - 466, - 470, - 477, - 482, - 486, - 501, - 506, - 509, - 517, - 520, - 536, - 541, + 378, + 385, + 390, + 424, + 430, + 434, + 453, + 489, + 519, + 525, + 529, 546, - 550, - 565 + 549, + 553, + 561, + 567, + 571, + 591, + 596, + 599, + 610, + 613, + 632, + 638, + 644, + 648, + 665 ] }, "nbformat": 4, diff --git a/examples/strategy_demonstration.ipynb b/examples/strategy_demonstration.ipynb index f764aefc..7d543bb1 100644 --- a/examples/strategy_demonstration.ipynb +++ b/examples/strategy_demonstration.ipynb @@ -2,13 +2,12 @@ "cells": [ { "cell_type": "markdown", - "id": "4105905b", + "id": "31d40abb", "metadata": {}, "source": [ "# Servicing Strategies\n", "\n", - "In this example, we'll demonstrate the essential differences in scheduled servicing, unscheduled servicing, and tow-to-port repair repair strategies. Each of the examples demonstrated below will be based on the 2015 Dinwoodie, et al. paper, though the the variations will be for demonstration purposes only.\n", - "\n", + "In this example, we'll demonstrate the essential differences in scheduled servicing, unscheduled servicing, and tow-to-port repair strategies. Each of the examples demonstrated below will be based on the 2015 Dinwoodie, et al. paper, though the variations will be for demonstration purposes only.\n", "\n", "## WOMBAT Setup and Variables\n", "\n", @@ -20,7 +19,6 @@ "of salt given the reduction of HLV and FSV operational and mobilization costs.\n", "```\n", "\n", - "\n", "Scenario descriptions:\n", "- **Scheduled**: exactly the same as the base case (fsv_scheduled.yaml and hlv_scheduled.yaml)\n", "- **Unscheduled: requests**: the FSV and HLV are called to site when 10 requests that\n", @@ -35,7 +33,7 @@ "\n", "In this example, we will demonstrate how the results for the base case for the Dinwoodie, et al. example vary based on how each of the vessels are scheduled. The configuration details all remain the same, regardless of details, except for the strategy information, which is defined as follows:\n", "\n", - "This example is set up similarly to that of the validation cases to show how the results differ, and not a step-by-step guide for setting up the analyses. We refer the reader to the exensive [documentation](../API/index.md) and [How To example](how_to.md) for more information.\n", + "This example is set up similarly to that of the validation cases to show how the results differ, and not a step-by-step guide for setting up the analyses. We refer the reader to the extensive [documentation](../API/index.md) and [How To example](how_to.md) for more information.\n", "\n", "## Imports and notebook configuration" ] @@ -43,7 +41,7 @@ { "cell_type": "code", "execution_count": 1, - "id": "4c126e33", + "id": "c08a4ba4", "metadata": {}, "outputs": [], "source": [ @@ -62,14 +60,14 @@ }, { "cell_type": "markdown", - "id": "aaaeb1c8", + "id": "129e52d2", "metadata": {}, "source": [ "## Simulation and results setup\n", "\n", "Here we're providing the names of the configuration files (found at: dinwoodie / config)\n", "without their .yaml extensions (added in later) and the results that we want to compare\n", - "between simulations to understand some of the timing and cost trade offs between\n", + "between simulations to understand some of the timing and cost trade-offs between\n", "simulations.\n", "\n", "The dictionary of keys and lists will be used to create the results data frame where the\n", @@ -80,7 +78,7 @@ { "cell_type": "code", "execution_count": 2, - "id": "89186609", + "id": "8532ba2e", "metadata": {}, "outputs": [], "source": [ @@ -116,7 +114,7 @@ }, { "cell_type": "markdown", - "id": "9b43af11", + "id": "7e9f29c7", "metadata": {}, "source": [ "## Run the simulations and display the results" @@ -125,13 +123,19 @@ { "cell_type": "code", "execution_count": 3, - "id": "85cd3860", + "id": "3e11da83", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ + "/Users/rhammond/GitHub_Public/WOMBAT/wombat/core/post_processor.py:740: FutureWarning: ._reduce will require a `keepdims` parameter in the future\n", + " costs = costs.fillna(costs.max(axis=0)).T\n", + "/Users/rhammond/GitHub_Public/WOMBAT/wombat/core/post_processor.py:740: FutureWarning: ._reduce will require a `keepdims` parameter in the future\n", + " costs = costs.fillna(costs.max(axis=0)).T\n", + "/Users/rhammond/GitHub_Public/WOMBAT/wombat/core/post_processor.py:740: FutureWarning: ._reduce will require a `keepdims` parameter in the future\n", + " costs = costs.fillna(costs.max(axis=0)).T\n", "/Users/rhammond/GitHub_Public/WOMBAT/wombat/core/post_processor.py:740: FutureWarning: ._reduce will require a `keepdims` parameter in the future\n", " costs = costs.fillna(costs.max(axis=0)).T\n" ] @@ -194,22 +198,22 @@ " \n", " base_scheduled\n", " 0.02\n", - " 0.46\n", + " 0.47\n", " \n", " \n", " base_requests\n", " 0.02\n", - " 0.50\n", + " 0.49\n", " \n", " \n", " base_downtime\n", " 0.02\n", - " 0.42\n", + " 0.45\n", " \n", " \n", " base_tow_to_port\n", " 0.02\n", - " 0.54\n", + " 0.56\n", " \n", " \n", "\n", @@ -218,10 +222,10 @@ "text/plain": [ " Load Time (min) Run Time (min)\n", "Scenario \n", - "base_scheduled 0.02 0.46\n", - "base_requests 0.02 0.50\n", - "base_downtime 0.02 0.42\n", - "base_tow_to_port 0.02 0.54" + "base_scheduled 0.02 0.47\n", + "base_requests 0.02 0.49\n", + "base_downtime 0.02 0.45\n", + "base_tow_to_port 0.02 0.56" ] }, "execution_count": 3, @@ -306,7 +310,7 @@ { "cell_type": "code", "execution_count": 4, - "id": "adc5161b", + "id": "1a897c3a", "metadata": {}, "outputs": [ { @@ -346,7 +350,7 @@ " \n", " \n", " availability - production based\n", - " 0.96\n", + " 0.97\n", " 0.97\n", " 0.97\n", " 0.96\n", @@ -367,31 +371,31 @@ " \n", " \n", " power production\n", - " 9,679.20\n", - " 9,682.73\n", - " 9,738.50\n", - " 9,619.15\n", + " 9,683.02\n", + " 9,684.38\n", + " 9,736.78\n", + " 9,628.42\n", " \n", " \n", " task completion rate\n", " 0.98\n", - " 0.97\n", + " 0.98\n", " 0.99\n", - " 0.94\n", + " 0.91\n", " \n", " \n", " annual direct O&M cost\n", - " 19.08\n", - " 19.19\n", - " 5.43\n", - " 11.11\n", + " 17.70\n", + " 16.98\n", + " 5.48\n", + " 11.52\n", " \n", " \n", " annual vessel cost\n", - " 13.28\n", - " 12.41\n", + " 12.25\n", + " 10.90\n", " 1.92\n", - " 2.06\n", + " 2.07\n", " \n", " \n", " ctv cost\n", @@ -403,14 +407,14 @@ " \n", " fsv cost\n", " 0.27\n", - " 0.30\n", + " 0.19\n", " 0.00\n", " 0.00\n", " \n", " \n", " hlv cost\n", - " 11.10\n", - " 10.19\n", + " 10.06\n", + " 8.79\n", " 0.00\n", " 0.00\n", " \n", @@ -419,14 +423,14 @@ " 0.00\n", " 0.00\n", " 0.00\n", - " 0.14\n", + " 0.16\n", " \n", " \n", " annual repair cost\n", - " 4.20\n", - " 5.19\n", - " 1.91\n", - " 5.44\n", + " 3.85\n", + " 4.48\n", + " 1.96\n", + " 5.85\n", " \n", " \n", " annual technician cost\n", @@ -445,14 +449,14 @@ " \n", " fsv utilization\n", " 1.00\n", - " 0.93\n", + " 0.92\n", " 0.00\n", " 0.00\n", " \n", " \n", " hlv utilization\n", " 0.97\n", - " 0.93\n", + " 0.92\n", " 0.00\n", " 0.00\n", " \n", @@ -470,22 +474,22 @@ "text/plain": [ " base_scheduled base_requests base_downtime \\\n", "availability - time based 1.00 1.00 1.00 \n", - "availability - production based 0.96 0.97 0.97 \n", + "availability - production based 0.97 0.97 0.97 \n", "capacity factor - net 0.46 0.46 0.46 \n", "capacity factor - gross 0.48 0.48 0.48 \n", - "power production 9,679.20 9,682.73 9,738.50 \n", - "task completion rate 0.98 0.97 0.99 \n", - "annual direct O&M cost 19.08 19.19 5.43 \n", - "annual vessel cost 13.28 12.41 1.92 \n", + "power production 9,683.02 9,684.38 9,736.78 \n", + "task completion rate 0.98 0.98 0.99 \n", + "annual direct O&M cost 17.70 16.98 5.48 \n", + "annual vessel cost 12.25 10.90 1.92 \n", "ctv cost 1.92 1.92 1.92 \n", - "fsv cost 0.27 0.30 0.00 \n", - "hlv cost 11.10 10.19 0.00 \n", + "fsv cost 0.27 0.19 0.00 \n", + "hlv cost 10.06 8.79 0.00 \n", "tow cost 0.00 0.00 0.00 \n", - "annual repair cost 4.20 5.19 1.91 \n", + "annual repair cost 3.85 4.48 1.96 \n", "annual technician cost 1.60 1.60 1.60 \n", "ctv utilization 1.00 1.00 1.00 \n", - "fsv utilization 1.00 0.93 0.00 \n", - "hlv utilization 0.97 0.93 0.00 \n", + "fsv utilization 1.00 0.92 0.00 \n", + "hlv utilization 0.97 0.92 0.00 \n", "tow utilization 0.00 0.00 0.00 \n", "\n", " base_tow_to_port \n", @@ -493,15 +497,15 @@ "availability - production based 0.96 \n", "capacity factor - net 0.46 \n", "capacity factor - gross 0.48 \n", - "power production 9,619.15 \n", - "task completion rate 0.94 \n", - "annual direct O&M cost 11.11 \n", - "annual vessel cost 2.06 \n", + "power production 9,628.42 \n", + "task completion rate 0.91 \n", + "annual direct O&M cost 11.52 \n", + "annual vessel cost 2.07 \n", "ctv cost 1.92 \n", "fsv cost 0.00 \n", "hlv cost 0.00 \n", - "tow cost 0.14 \n", - "annual repair cost 5.44 \n", + "tow cost 0.16 \n", + "annual repair cost 5.85 \n", "annual technician cost 1.60 \n", "ctv utilization 1.00 \n", "fsv utilization 0.00 \n", @@ -547,12 +551,12 @@ }, "source_map": [ 11, - 47, - 59, - 72, - 101, - 105, - 179 + 45, + 57, + 70, + 99, + 103, + 177 ] }, "nbformat": 4, diff --git a/library/corewind/project/config/morro_bay_tow_to_port.yaml b/library/corewind/project/config/morro_bay_tow_to_port.yaml index b8766058..14a78078 100644 --- a/library/corewind/project/config/morro_bay_tow_to_port.yaml +++ b/library/corewind/project/config/morro_bay_tow_to_port.yaml @@ -21,4 +21,4 @@ start_year: 2002 end_year: 2021 project_capacity: 1200 port: morro_bay_port.yaml -# NOTE: No labor cost data is available in the assumptions \ No newline at end of file +# NOTE: No labor cost data is available in the assumptions diff --git a/library/corewind/project/plant/morro_bay_9D_layout.csv b/library/corewind/project/plant/morro_bay_9D_layout.csv index fd267d8c..270a64b5 100644 --- a/library/corewind/project/plant/morro_bay_9D_layout.csv +++ b/library/corewind/project/plant/morro_bay_9D_layout.csv @@ -80,4 +80,4 @@ WTG_0705,SS2,WTG_0705,turbine,-12960,-7560,610120.06,3907050.21,-121.788811,35.3 WTG_0706,SS2,WTG_0706,turbine,-15120,-7560,607960.06,3907050.21,-121.8125638,35.30081995,7,6,,corewind_15MW.yaml,corewind_array.yaml,ARR76 WTG_0707,SS2,WTG_0707,turbine,-17280,-7560,605800.06,3907050.21,-121.8363169,35.30105086,7,7,,corewind_15MW.yaml,corewind_array.yaml,ARR77 WTG_0708,SS2,WTG_0708,turbine,-19440,-7560,603640.06,3907050.21,-121.8600702,35.3012771,7,8,,corewind_15MW.yaml,corewind_array.yaml,ARR78 -WTG_0709,SS2,WTG_0709,turbine,-21600,-7560,601480.06,3907050.21,-121.8838239,35.30149868,7,9,,corewind_15MW.yaml,corewind_array.yaml,ARR79 \ No newline at end of file +WTG_0709,SS2,WTG_0709,turbine,-21600,-7560,601480.06,3907050.21,-121.8838239,35.30149868,7,9,,corewind_15MW.yaml,corewind_array.yaml,ARR79 diff --git a/library/corewind/project/plant/morro_bay_9D_layout.svg b/library/corewind/project/plant/morro_bay_9D_layout.svg index d9ef1ece..c84a46f8 100644 --- a/library/corewind/project/plant/morro_bay_9D_layout.svg +++ b/library/corewind/project/plant/morro_bay_9D_layout.svg @@ -21,846 +21,846 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - @@ -954,84 +954,84 @@ z - - - - - @@ -1051,18 +1051,18 @@ z - @@ -1082,26 +1082,26 @@ z - @@ -1121,36 +1121,36 @@ z - @@ -1170,23 +1170,23 @@ z - @@ -1206,29 +1206,29 @@ z - @@ -1248,34 +1248,34 @@ z - @@ -1295,14 +1295,14 @@ z - @@ -1322,43 +1322,43 @@ z - @@ -1378,34 +1378,34 @@ z - @@ -2475,35 +2475,35 @@ z - diff --git a/library/corewind/project/plant/morro_bay_9D_layout_ttp.csv b/library/corewind/project/plant/morro_bay_9D_layout_ttp.csv index a3eca444..4264408a 100644 --- a/library/corewind/project/plant/morro_bay_9D_layout_ttp.csv +++ b/library/corewind/project/plant/morro_bay_9D_layout_ttp.csv @@ -80,4 +80,4 @@ WTG_0705,SS2,WTG_0705,turbine,-12960,-7560,610120.06,3907050.21,-121.788811,35.3 WTG_0706,SS2,WTG_0706,turbine,-15120,-7560,607960.06,3907050.21,-121.8125638,35.30081995,7,6,,corewind_15MW_ttp.yaml,corewind_array.yaml,ARR76 WTG_0707,SS2,WTG_0707,turbine,-17280,-7560,605800.06,3907050.21,-121.8363169,35.30105086,7,7,,corewind_15MW_ttp.yaml,corewind_array.yaml,ARR77 WTG_0708,SS2,WTG_0708,turbine,-19440,-7560,603640.06,3907050.21,-121.8600702,35.3012771,7,8,,corewind_15MW_ttp.yaml,corewind_array.yaml,ARR78 -WTG_0709,SS2,WTG_0709,turbine,-21600,-7560,601480.06,3907050.21,-121.8838239,35.30149868,7,9,,corewind_15MW_ttp.yaml,corewind_array.yaml,ARR79 \ No newline at end of file +WTG_0709,SS2,WTG_0709,turbine,-21600,-7560,601480.06,3907050.21,-121.8838239,35.30149868,7,9,,corewind_15MW_ttp.yaml,corewind_array.yaml,ARR79 diff --git a/library/corewind/turbines/corewind_15MW.yaml b/library/corewind/turbines/corewind_15MW.yaml index 4e2b3d1a..4c6fbc65 100644 --- a/library/corewind/turbines/corewind_15MW.yaml +++ b/library/corewind/turbines/corewind_15MW.yaml @@ -206,7 +206,7 @@ rotor_blades: # n_technicians: 21 generator: name: generator - maintenance: + maintenance: - description: annual turbine inspection time: 24 materials: 1500 diff --git a/library/corewind/turbines/corewind_15MW_ttp.yaml b/library/corewind/turbines/corewind_15MW_ttp.yaml index 8fc282da..8c3b25ba 100644 --- a/library/corewind/turbines/corewind_15MW_ttp.yaml +++ b/library/corewind/turbines/corewind_15MW_ttp.yaml @@ -206,7 +206,7 @@ rotor_blades: # n_technicians: 21 generator: name: generator - maintenance: + maintenance: - description: annual turbine inspection time: 24 materials: 1500 diff --git a/library/corewind/vessels/ctv10.yaml b/library/corewind/vessels/ctv10.yaml index 98d07000..8e94dd7d 100644 --- a/library/corewind/vessels/ctv10.yaml +++ b/library/corewind/vessels/ctv10.yaml @@ -26,4 +26,4 @@ crew: n_day_rate: 0 hourly_rate: 0 n_hourly_rate: 0 -# capex: 3000000 \ No newline at end of file +# capex: 3000000 diff --git a/library/corewind/vessels/ctv11.yaml b/library/corewind/vessels/ctv11.yaml index bd686bbf..8d047aa0 100644 --- a/library/corewind/vessels/ctv11.yaml +++ b/library/corewind/vessels/ctv11.yaml @@ -26,4 +26,4 @@ crew: n_day_rate: 0 hourly_rate: 0 n_hourly_rate: 0 -# capex: 3000000 \ No newline at end of file +# capex: 3000000 diff --git a/library/corewind/vessels/ctv12.yaml b/library/corewind/vessels/ctv12.yaml index a5cd9a6d..f5f85122 100644 --- a/library/corewind/vessels/ctv12.yaml +++ b/library/corewind/vessels/ctv12.yaml @@ -26,4 +26,4 @@ crew: n_day_rate: 0 hourly_rate: 0 n_hourly_rate: 0 -# capex: 3000000 \ No newline at end of file +# capex: 3000000 diff --git a/library/corewind/vessels/ctv13.yaml b/library/corewind/vessels/ctv13.yaml index fbcf72a2..baeb0a86 100644 --- a/library/corewind/vessels/ctv13.yaml +++ b/library/corewind/vessels/ctv13.yaml @@ -26,4 +26,4 @@ crew: n_day_rate: 0 hourly_rate: 0 n_hourly_rate: 0 -# capex: 3000000 \ No newline at end of file +# capex: 3000000 diff --git a/library/corewind/vessels/ctv14.yaml b/library/corewind/vessels/ctv14.yaml index 851e3d12..87928bf3 100644 --- a/library/corewind/vessels/ctv14.yaml +++ b/library/corewind/vessels/ctv14.yaml @@ -26,4 +26,4 @@ crew: n_day_rate: 0 hourly_rate: 0 n_hourly_rate: 0 -# capex: 3000000 \ No newline at end of file +# capex: 3000000 diff --git a/library/corewind/vessels/ctv8.yaml b/library/corewind/vessels/ctv8.yaml index f375df45..0559c2ea 100644 --- a/library/corewind/vessels/ctv8.yaml +++ b/library/corewind/vessels/ctv8.yaml @@ -26,4 +26,4 @@ crew: n_day_rate: 0 hourly_rate: 0 n_hourly_rate: 0 -# capex: 3000000 \ No newline at end of file +# capex: 3000000 diff --git a/library/corewind/vessels/ctv9.yaml b/library/corewind/vessels/ctv9.yaml index 37c20b3c..7f2af0c7 100644 --- a/library/corewind/vessels/ctv9.yaml +++ b/library/corewind/vessels/ctv9.yaml @@ -26,4 +26,4 @@ crew: n_day_rate: 0 hourly_rate: 0 n_hourly_rate: 0 -# capex: 3000000 \ No newline at end of file +# capex: 3000000 diff --git a/presentation_material/nawea_2023_wombat_tutorial_87913.pdf b/presentation_material/nawea_2023_wombat_tutorial_87913.pdf new file mode 100644 index 00000000..b8290b93 Binary files /dev/null and b/presentation_material/nawea_2023_wombat_tutorial_87913.pdf differ diff --git a/pyproject.toml b/pyproject.toml index 1a04b10c..90902ea3 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta" [project] name = "wombat" -version = "0.9.1" +version = "0.9.2" authors = [{name = "Rob Hammond", email = "rob.hammond@nrel.gov"}] readme = {file = "README.md", content-type = "text/markdown"} description = "Windfarm operations and maintenance cost-benefit analysis tool" @@ -247,6 +247,17 @@ dummy-variable-rgx = "^(_+|(_+[a-zA-Z0-9_]*[a-zA-Z0-9]+?))$" "library/code_comparison/iea26/turbines/__init__.py" = ["D104"] "library/code_comparison/iea26/vessels/__init__.py" = ["D104"] "library/code_comparison/iea26/weather/__init__.py" = ["D104"] +"library/corewind/__init__.py" = ["D104"] +"library/corewind/cables/__init__.py" = ["D104"] +"library/corewind/project/__init__.py" = ["D104"] +"library/corewind/project/config/__init__.py" = ["D104"] +"library/corewind/project/plant/__init__.py" = ["D104"] +"library/corewind/project/port/__init__.py" = ["D104"] +"library/corewind/results/__init__.py" = ["D104"] +"library/corewind/substations/__init__.py" = ["D104"] +"library/corewind/turbines/__init__.py" = ["D104"] +"library/corewind/vessels/__init__.py" = ["D104"] +"library/corewind/weather/__init__.py" = ["D104"] "tests/library/__init__.py" = ["D104"] "tests/library/cables/__init__.py" = ["D104"] "tests/library/project/__init__.py" = ["D104"] diff --git a/wombat/core/data_classes.py b/wombat/core/data_classes.py index 602f7724..6bed4947 100644 --- a/wombat/core/data_classes.py +++ b/wombat/core/data_classes.py @@ -1486,7 +1486,7 @@ class EquipmentMap: """Internal mapping for servicing equipment strategy information.""" strategy_threshold: int | float - equipment: "ServiceEquipment" # noqa: disable=F821 + equipment: ServiceEquipment # noqa: disable=F821 @define(auto_attribs=True) @@ -1508,7 +1508,7 @@ def update( self, capability: str, threshold: int | float, - equipment: "ServiceEquipment", # noqa: disable=F821 + equipment: ServiceEquipment, # noqa: disable=F821 ) -> None: """Update the strategy mapping between capability types and the available ``ServiceEquipment`` objects. diff --git a/wombat/core/environment.py b/wombat/core/environment.py index c8e745cd..dfa72145 100644 --- a/wombat/core/environment.py +++ b/wombat/core/environment.py @@ -476,6 +476,14 @@ def _weather_setup( "%m/%d/%Y %I:%M", "%m/%d/%Y %H:%M:%S", "%m/%d/%Y %I:%M:%S", + "%m-%d-%y %H:%M", + "%m-%d-%y %I:%M", + "%m-%d-%y %H:%M:%S", + "%m-%d-%y %I:%M:%S", + "%m-%d-%Y %H:%M", + "%m-%d-%Y %I:%M", + "%m-%d-%Y %H:%M:%S", + "%m-%d-%Y %I:%M:%S", "%Y-%m-%d %H:%M", "%Y-%m-%d %I:%M", "%Y-%m-%d %H:%M:%S", diff --git a/wombat/core/mixins.py b/wombat/core/mixins.py index 80d575f3..583c8e63 100644 --- a/wombat/core/mixins.py +++ b/wombat/core/mixins.py @@ -32,7 +32,7 @@ class RepairsMixin: """ env: WombatEnvironment - settings: PortConfig | ScheduledServiceEquipmentData | UnscheduledServiceEquipmentData # noqa: disable=E501 + settings: PortConfig | ScheduledServiceEquipmentData | UnscheduledServiceEquipmentData # noqa: E501 def initialize_cost_calculators(self, which: str) -> None: """Creates the cost calculators for each of the subclasses that will need to diff --git a/wombat/core/post_processor.py b/wombat/core/post_processor.py index 287be8d0..930a93a5 100644 --- a/wombat/core/post_processor.py +++ b/wombat/core/post_processor.py @@ -3,7 +3,7 @@ import warnings from copy import deepcopy -from typing import TYPE_CHECKING +from typing import TYPE_CHECKING, Any from pathlib import Path from itertools import chain, product from collections import Counter @@ -1426,6 +1426,7 @@ def equipment_labor_cost_breakdowns( costs = costs.drop(columns=drop_columns) costs = costs.groupby(group_filter).sum().reset_index() + comparison_values: product[tuple[Any, Any]] | product[tuple[Any, Any, Any]] month_year = frequency == "month-year" if frequency in ("annual", "month-year"): years = costs.year.unique() @@ -1740,6 +1741,10 @@ def component_costs( cols[_ix:_ix] = ["action"] cols.pop(-1) costs = costs.loc[:, cols] + + comparison_values: product[tuple[Any, Any]] | product[ + tuple[Any, Any, Any] + ] | product[tuple[Any, Any, Any, Any]] if frequency in ("annual", "month-year"): years = costs.year.unique() components = costs.component.unique() diff --git a/wombat/core/service_equipment.py b/wombat/core/service_equipment.py index 7a5fce65..2b6cc3a7 100644 --- a/wombat/core/service_equipment.py +++ b/wombat/core/service_equipment.py @@ -688,7 +688,7 @@ def find_uninterrupted_weather_window( # If all the safe operating windows are shorter than the time required, then # return the time until the end of the shift and indicate a shift delay - if all([window < hours_required for window in window_lengths]): + if all(window < hours_required for window in window_lengths): return max_hours, True # Find the length of the delay @@ -966,7 +966,12 @@ def travel( elif {start, end} == {"site", "port"}: additional = f"traveling from {start} to {end}" distance = self.settings.port_distance - hours = self._calculate_interrupted_travel_time(distance) + try: + hours = self._calculate_interrupted_travel_time(distance) + except IndexError: + # If the end of the simulation is hit while finding a suitable + # window exit, so the simulation can finish. + return None if distance is None: raise ValueError("`distance` must be provided if `hours` is provided.") @@ -992,7 +997,7 @@ def travel( and not self.at_port ): kw = { - "additional": "insufficient time to complete travel before end of the shift" # noqa: disabl#501 + "additional": "insufficient time to complete travel before end of the shift" # noqa: E501 } kw.update(kwargs) # type: ignore yield self.env.process( @@ -1005,7 +1010,7 @@ def travel( return elif not is_shift and self.at_port: kw = { - "additional": "insufficient time to complete travel before end of the shift" # noqa: disabl#501 + "additional": "insufficient time to complete travel before end of the shift" # noqa: E501 } kw.update(kwargs) yield self.env.process(self.wait_until_next_shift(**kw)) @@ -1667,7 +1672,7 @@ def run_scheduled_in_situ(self) -> Generator[Process, None, None]: **{ "agent": self.settings.name, "reason": "no requests", - "additional": "no work requests, waiting until the next shift", # noqa: disabl#501 + "additional": "no work requests, waiting until the next shift", # noqa: E501 } ) ) @@ -1748,7 +1753,7 @@ def run_unscheduled_in_situ(self) -> Generator[Process, None, None]: **{ "agent": self.settings.name, "reason": "no requests", - "additional": "no work requests submitted by start of shift", # noqa: disabl#501 + "additional": "no work requests submitted by start of shift", # noqa: E501 } ) ) @@ -1827,7 +1832,7 @@ def run_unscheduled_in_situ(self) -> Generator[Process, None, None]: **{ "agent": self.settings.name, "reason": "no requests", - "additional": "no work requests submitted by start of shift", # noqa: disabl#501 + "additional": "no work requests submitted by start of shift", # noqa: E501 } ) ) diff --git a/wombat/utilities/plot.py b/wombat/utilities/plot.py index ef62973c..22d57af6 100644 --- a/wombat/utilities/plot.py +++ b/wombat/utilities/plot.py @@ -175,7 +175,7 @@ def plot_farm_availability( # CI error bars surrounding the lines if farm_95_CI: N = turbine_availability.shape[1] - Z90, Z95, Z99 = (1.64, 1.96, 2.57) # noqa: disable=F841 + Z90, Z95, Z99 = (1.64, 1.96, 2.57) # noqa: F841 tm = turbine_availability.values.mean(axis=1) tsd = turbine_availability.values.std(axis=1) ci_lo = tm - Z95 * (tsd / np.sqrt(N)) diff --git a/wombat/utilities/utilities.py b/wombat/utilities/utilities.py index 2a6ea820..de71a298 100644 --- a/wombat/utilities/utilities.py +++ b/wombat/utilities/utilities.py @@ -60,7 +60,7 @@ def create_variable_from_string(string: str) -> str: new_string = re.sub( "[^0-9a-zA-Z]+", "_", - re.sub("^\W+", "", re.sub("[^a-zA-Z]+$", "", string)), # noqa: disable=W605 + re.sub(r"^\W+", "", re.sub("[^a-zA-Z]+$", "", string)), # noqa: disable=W605 ).lower() return new_string