From c31d2183b74efc9a95aa345a1da7fb064bdcefd7 Mon Sep 17 00:00:00 2001 From: Martin Lehmann Date: Wed, 20 Sep 2023 17:48:02 +0200 Subject: [PATCH 1/4] feat(model): Add filter and map methods to ElementList These new methods fill two usability gaps that have existed for a while now. `filter` allows to specify an arbitrary function, lambda or attribute name for filtering. The resulting list will only contains elements where the filter result was thruthy. `map` applies a function to each element or follows an attribute, and builds a list with the results. In both cases, the result will be another ElementList, meaning that these calls can easily be chained and combined with other selectors like the `by_X` methods. --- capellambse/model/common/element.py | 67 +++++++++++++++++++++++++++++ 1 file changed, 67 insertions(+) diff --git a/capellambse/model/common/element.py b/capellambse/model/common/element.py index 06f919260..9a415074d 100644 --- a/capellambse/model/common/element.py +++ b/capellambse/model/common/element.py @@ -33,6 +33,10 @@ _NOT_SPECIFIED = object() "Used to detect unspecified optional arguments" +_MapFunction: te.TypeAlias = ( + "cabc.Callable[[T], GenericElement | cabc.Iterable[GenericElement]]" +) + def attr_equal(attr: str) -> cabc.Callable[[type[T]], type[T]]: def add_wrapped_eq(cls: type[T]) -> type[T]: @@ -845,6 +849,69 @@ def keys(self) -> ElementListMapKeyView: def values(self) -> ElementList[T]: return self + def filter( + self, predicate: str | cabc.Callable[[T], bool] + ) -> ElementList[T]: + """Filter this list with a custom predicate. + + The predicate may be the name of an attribute or a callable, + which will be called on each list item. If the attribute value + or the callable's return value is truthy, the item is included + in the resulting list. + + When specifying the name of an attribute, nested attributes can + be chained using ``.``, like ``"parent.name"`` (which would + pick all elements whose ``parent`` has a non-empty ``name``). + """ + if isinstance(predicate, str): + predicate = operator.attrgetter(predicate) + return self._newlist([i._element for i in self if predicate(i)]) + + def map(self, attr: str | _MapFunction[T]) -> ElementList[GenericElement]: + """Apply a function to each element in this list. + + If the argument is a string, it is interpreted as an attribute + name, and the value of that attribute is returned for each + element. Nested attribute names can be chained with ``.``. + + If the argument is a callable, it is called for each element, + and the return value is included in the result. If the callable + returns a sequence, the sequence is flattened into the result. + + Duplicate values and Nones are always filtered out. + + It is an error if a callable returns something that is not a + model element or a flat sequence of model elements. + """ + if isinstance(attr, str): + attr = operator.attrgetter(attr) + newelems: list[etree._Element] = [] + classes: set[type[GenericElement]] = set() + for i in self: + try: + value = attr(i) + except AttributeError: + continue + + if not isinstance(value, cabc.Iterable): + value = [value] + + for v in value: # type: ignore[union-attr] # false-positive + if v is None: + continue + if isinstance(v, GenericElement): + newelems.append(v._element) + classes.add(type(v)) + else: + raise TypeError( + f"Map function must return a model element or a list" + f" of model elements, not {v!r}" + ) + + if len(classes) == 1: + return ElementList(self._model, newelems, classes.pop()) + return MixedElementList(self._model, newelems) + class CachedElementList(ElementList[T], t.Generic[T]): """An ElementList that caches the constructed proxies by UUID.""" From 7c82eff734c77ae4ec60cbf41b2bdd906466e456 Mon Sep 17 00:00:00 2001 From: Martin Lehmann Date: Wed, 20 Sep 2023 17:56:38 +0200 Subject: [PATCH 2/4] docs: Use new methods in PA demo notebook Also fix some typos along the way. Fixes #333 --- ...2 Intro to Physical Architecture API.ipynb | 390 ++++++++++-------- 1 file changed, 225 insertions(+), 165 deletions(-) diff --git a/docs/source/examples/02 Intro to Physical Architecture API.ipynb b/docs/source/examples/02 Intro to Physical Architecture API.ipynb index 15564710c..3d002dc9b 100644 --- a/docs/source/examples/02 Intro to Physical Architecture API.ipynb +++ b/docs/source/examples/02 Intro to Physical Architecture API.ipynb @@ -7,28 +7,21 @@ "source": [ "# Introduction to Physical Architecture API\n", "\n", - "**Note**: In this notebook we will use `pandas` dataframes library to construct and visualize tables, **if you don't have pandas installed** in the current environemnt you may want to do so by running the cell below." + "**Note**: In this notebook we will use `pandas` dataframes library to construct and visualize tables, **if you don't have pandas installed** in the current environment you may want to do so by running the cell below." ] }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "id": "4c181cfb", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Requirement already satisfied: pandas in /home/liyuanxin/wörk/venv/lib/python3.10/site-packages (1.4.2)\n", - "Requirement already satisfied: numpy>=1.21.0 in /home/liyuanxin/wörk/venv/lib/python3.10/site-packages (from pandas) (1.22.3)\n", - "Requirement already satisfied: pytz>=2020.1 in /home/liyuanxin/wörk/venv/lib/python3.10/site-packages (from pandas) (2022.1)\n", - "Requirement already satisfied: python-dateutil>=2.8.1 in /home/liyuanxin/wörk/venv/lib/python3.10/site-packages (from pandas) (2.8.2)\n", - "Requirement already satisfied: six>=1.5 in /home/liyuanxin/wörk/venv/lib/python3.10/site-packages (from python-dateutil>=2.8.1->pandas) (1.16.0)\n", - "Note: you may need to restart the kernel to use updated packages.\n" - ] - } - ], + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [] + }, + "outputs": [], "source": [ "%pip install pandas" ] @@ -43,7 +36,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 1, "id": "1386d2f7", "metadata": { "scrolled": true @@ -54,7 +47,6 @@ "import logging\n", "import pandas as pd\n", "\n", - "\n", "logging.getLogger().setLevel(logging.CRITICAL)\n", "model = capellambse.MelodyModel(\n", " \"../../../tests/data/melodymodel/5_0/Melody Model Test.aird\",\n", @@ -78,20 +70,18 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 2, "id": "8b555976", - "metadata": { - "scrolled": false - }, + "metadata": {}, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ "" ] }, - "execution_count": 14, + "execution_count": 2, "metadata": {}, "output_type": "execute_result" } @@ -113,7 +103,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 3, "id": "711574aa", "metadata": { "scrolled": true @@ -121,33 +111,36 @@ "outputs": [ { "data": { + "text/html": [ + "
  1. PhysicalComponent "Vehicle" (b327d900-abd2-4138-a111-9ff0684739d8)
  2. PhysicalComponent "Equipment compartment" (3d68852d-fcc0-452c-af12-a2fbe22f81fa)
  3. PhysicalComponent "Server" (9137f463-7497-40c2-b20a-897158fdba9a)
  4. PhysicalComponent "Compute Card 1" (63be604e-883e-41ea-9023-fc74f29906fe)
  5. PhysicalComponent "Card 1 OS" (7b188ad0-0d82-4b2c-9913-45292e537871)
  6. PhysicalComponent "Camera Driver SWC" (74067f56-33bf-47f5-bb8b-f3604097f653)
  7. PhysicalComponent "App 1 SWC" (b80a6fcc-8d35-4675-a2e6-60efcbd61e27)
  8. PhysicalComponent "Cooling Fan" (65e82f3f-c5b7-44c1-bfea-8e20bb0230be)
  9. PhysicalComponent "Compute Card 2" (3a982128-3281-4d37-8838-a6058b7a25d9)
  10. PhysicalComponent "Card 2 OS" (09e19313-c824-467f-9fb5-95ed8b4e2d51)
  11. PhysicalComponent "App 2 SWC" (ca5af12c-5259-4844-aaac-9ca9f84aa90b)
  12. PhysicalComponent "Network Switch" (b51ccc6f-5f96-4e28-b90e-72463a3b50cf)
  13. PhysicalComponent "Switch Firmware" (c78b5d7c-be0c-4ed4-9d12-d447cb39304e)
  14. PhysicalComponent "Switch Configuration" (23c47b69-7352-481d-be88-498fb351adbe)
  15. PhysicalComponent "Sensor compartment" (3f416925-9d8a-4e9c-99f3-e912efb23d2f)
  16. PhysicalComponent "Camera Assembly" (5bfc516b-c20d-4007-9a38-5ba0e889d0a4)
  17. PhysicalComponent "Camera Firmware" (db2d86d7-48ee-478b-a6fc-d6387ab0032e)
" + ], "text/plain": [ - "[,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ]" + "[0] \n", + "[1] \n", + "[2] \n", + "[3] \n", + "[4] \n", + "[5] \n", + "[6] \n", + "[7] \n", + "[8] \n", + "[9] \n", + "[10] \n", + "[11] \n", + "[12] \n", + "[13] \n", + "[14] \n", + "[15] \n", + "[16] " ] }, - "execution_count": 15, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "components_on_diagram = list(map(lambda x: x.type, diagram.nodes.by_type(\"Part\")))\n", + "components_on_diagram = diagram.nodes.by_type(\"Part\").map(\"type\")\n", "components_on_diagram" ] }, @@ -163,20 +156,61 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 4, "id": "21ef5c4d", "metadata": {}, "outputs": [ { "data": { "text/html": [ - "

PhysicalComponent (org.polarsys.capella.core.data.pa:PhysicalComponent)

components
  1. PhysicalComponent "Camera Firmware" (db2d86d7-48ee-478b-a6fc-d6387ab0032e)
constraints

(Empty list)

deployed_components
  1. PhysicalComponent "Camera Firmware" (db2d86d7-48ee-478b-a6fc-d6387ab0032e)
deploying_components

(Empty list)

descriptionNone
diagrams

(Empty list)

exchanges

(Empty list)

functions

(Empty list)

is_abstractFalse
is_actorFalse
is_humanFalse
kind<Kind.HARDWARE: 2>
nameCamera Assembly
nature<Nature.NODE: 1>
owned_components

(Empty list)

ownerPhysicalComponent "Sensor compartment" (3f416925-9d8a-4e9c-99f3-e912efb23d2f)
parentPhysicalComponent "Sensor compartment" (3f416925-9d8a-4e9c-99f3-e912efb23d2f)
parts
  1. Part "Camera Assembly" (8ea2373f-a397-4a72-b498-15cbbfc37248)
physical_links

(Empty list)

physical_paths

(Empty list)

physical_ports
  1. PhysicalPort "PP 1" (2d1e2ad5-3439-4820-baa8-189966407ba2)
ports

(Empty list)

progress_statusNOT_SET
realized_logical_components

(Empty list)

requirements

(Empty list)

state_machines

(Empty list)

summaryNone
uuid5bfc516b-c20d-4007-9a38-5ba0e889d0a4
xtypeorg.polarsys.capella.core.data.pa:PhysicalComponent
" + "

Cooling Fan (org.polarsys.capella.core.data.pa:PhysicalComponent)

allocated_functions

(Empty list)

applied_property_value_groups

(Empty list)

applied_property_values

(Empty list)

components

(Empty list)

constraints

(Empty list)

context_diagramContext of Cooling Fan (uuid: 65e82f3f-c5b7-44c1-bfea-8e20bb0230be_context)
deployed_components

(Empty list)

deploying_componentsBackreference to PhysicalComponent - omitted: can be slow to compute. Display this property directly to show.
description
diagrams

(Empty list)

exchanges

(Empty list)

filtering_criteria

(Empty list)

functions

(Empty list)

is_abstractFalse
is_actorFalse
is_humanFalse
kind<Kind.HARDWARE: 2>
nameCooling Fan
nature<Nature.NODE: 1>
owned_components

(Empty list)

ownerPhysicalComponent "Compute Card 1" (63be604e-883e-41ea-9023-fc74f29906fe)
parentPhysicalComponent "Compute Card 1" (63be604e-883e-41ea-9023-fc74f29906fe)
partsBackreference to Part - omitted: can be slow to compute. Display this property directly to show.
physical_links

(Empty list)

physical_paths

(Empty list)

physical_ports

(Empty list)

ports

(Empty list)

progress_statusNOT_SET
property_value_groups

(Empty list)

property_values

(Empty list)

pvmt<capellambse.extensions.pvmt.PropertyValueProxy object at 0x7fc7990cc790>
realized_components

(Empty list)

realized_logical_components

(Empty list)

realizing_componentsBackreference to - omitted: can be slow to compute. Display this property directly to show.
related_exchangesBackreference to ComponentExchange - omitted: can be slow to compute. Display this property directly to show.
requirements

(Empty list)

state_machines

(Empty list)

summaryNone
traces

(Empty list)

uuid65e82f3f-c5b7-44c1-bfea-8e20bb0230be
xtypeorg.polarsys.capella.core.data.pa:PhysicalComponent
" ], "text/plain": [ - "" + "\n", + ".allocated_functions = []\n", + ".applied_property_value_groups = []\n", + ".applied_property_values = []\n", + ".components = []\n", + ".constraints = []\n", + ".context_diagram = \n", + ".deployed_components = []\n", + ".deploying_components = ... # backreference to PhysicalComponent - omitted: can be slow to compute\n", + ".description = ''\n", + ".diagrams = []\n", + ".exchanges = []\n", + ".filtering_criteria = []\n", + ".functions = []\n", + ".is_abstract = False\n", + ".is_actor = False\n", + ".is_human = False\n", + ".kind = \n", + ".name = 'Cooling Fan'\n", + ".nature = \n", + ".owned_components = []\n", + ".owner = \n", + ".parent = \n", + ".parts = ... # backreference to Part - omitted: can be slow to compute\n", + ".physical_links = []\n", + ".physical_paths = []\n", + ".physical_ports = []\n", + ".ports = []\n", + ".progress_status = 'NOT_SET'\n", + ".property_value_groups = []\n", + ".property_values = []\n", + ".pvmt = \n", + ".realized_components = []\n", + ".realized_logical_components = []\n", + ".realizing_components = ... # backreference to - omitted: can be slow to compute\n", + ".related_exchanges = ... # backreference to ComponentExchange - omitted: can be slow to compute\n", + ".requirements = []\n", + ".state_machines = []\n", + ".summary = None\n", + ".traces = []\n", + ".uuid = '65e82f3f-c5b7-44c1-bfea-8e20bb0230be'\n", + ".xtype = 'org.polarsys.capella.core.data.pa:PhysicalComponent'" ] }, - "execution_count": 16, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -197,7 +231,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 5, "id": "63ff286c", "metadata": {}, "outputs": [], @@ -221,7 +255,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 6, "id": "6d8ff25c", "metadata": {}, "outputs": [ @@ -255,121 +289,121 @@ " \n", " \n", " 0\n", - " Switch Configuration\n", - " BEHAVIOR\n", - " DATA\n", - " \n", + " Vehicle\n", + " NODE\n", + " SOFTWARE_DEPLOYMENT_UNIT\n", + " Equipment compartment; Sensor compartment\n", " \n", " \n", " 1\n", - " Card 2 OS\n", - " BEHAVIOR\n", - " SOFTWARE\n", - " App 2 SWC\n", + " Equipment compartment\n", + " NODE\n", + " FACILITIES\n", + " Server; Network Switch\n", " \n", " \n", " 2\n", - " Camera Driver SWC\n", - " BEHAVIOR\n", - " SOFTWARE\n", - " \n", + " Server\n", + " NODE\n", + " HARDWARE\n", + " Compute Card 1; Compute Card 2\n", " \n", " \n", " 3\n", - " Camera Firmware\n", - " BEHAVIOR\n", - " SOFTWARE_EXECUTION_UNIT\n", - " \n", + " Compute Card 1\n", + " NODE\n", + " HARDWARE\n", + " Card 1 OS; Cooling Fan\n", " \n", " \n", " 4\n", - " Vehicle\n", - " NODE\n", - " SOFTWARE_DEPLOYMENT_UNIT\n", - " Equipment compartment; Sensor compartment\n", + " Card 1 OS\n", + " BEHAVIOR\n", + " SERVICES\n", + " Camera Driver SWC; App 1 SWC\n", " \n", " \n", " 5\n", - " Network Switch\n", - " NODE\n", - " HARDWARE\n", - " Switch Firmware; Switch Configuration\n", + " Camera Driver SWC\n", + " BEHAVIOR\n", + " SOFTWARE\n", + " \n", " \n", " \n", " 6\n", - " Card 1 OS\n", + " App 1 SWC\n", " BEHAVIOR\n", - " SERVICES\n", - " Camera Driver SWC; App 1 SWC\n", + " SOFTWARE\n", + " \n", " \n", " \n", " 7\n", - " Camera Assembly\n", + " Cooling Fan\n", " NODE\n", " HARDWARE\n", - " Camera Firmware\n", + " \n", " \n", " \n", " 8\n", - " Sensor compartment\n", + " Compute Card 2\n", " NODE\n", - " FACILITIES\n", - " Camera Assembly\n", + " HARDWARE\n", + " Card 2 OS\n", " \n", " \n", " 9\n", - " Equipment compartment\n", - " NODE\n", - " FACILITIES\n", - " Server; Network Switch\n", + " Card 2 OS\n", + " BEHAVIOR\n", + " SOFTWARE\n", + " App 2 SWC\n", " \n", " \n", " 10\n", - " App 1 SWC\n", + " App 2 SWC\n", " BEHAVIOR\n", " SOFTWARE\n", " \n", " \n", " \n", " 11\n", - " Compute Card 1\n", + " Network Switch\n", " NODE\n", " HARDWARE\n", - " Card 1 OS; Cooling Fan\n", + " Switch Firmware; Switch Configuration\n", " \n", " \n", " 12\n", - " Server\n", - " NODE\n", - " HARDWARE\n", - " Compute Card 1; Compute Card 2\n", + " Switch Firmware\n", + " BEHAVIOR\n", + " HARDWARE_COMPUTER\n", + " \n", " \n", " \n", " 13\n", - " Compute Card 2\n", - " NODE\n", - " HARDWARE\n", - " Card 2 OS\n", + " Switch Configuration\n", + " BEHAVIOR\n", + " DATA\n", + " \n", " \n", " \n", " 14\n", - " Switch Firmware\n", - " BEHAVIOR\n", - " HARDWARE_COMPUTER\n", - " \n", + " Sensor compartment\n", + " NODE\n", + " FACILITIES\n", + " Camera Assembly\n", " \n", " \n", " 15\n", - " Cooling Fan\n", + " Camera Assembly\n", " NODE\n", " HARDWARE\n", - " \n", + " Camera Firmware\n", " \n", " \n", " 16\n", - " App 2 SWC\n", + " Camera Firmware\n", " BEHAVIOR\n", - " SOFTWARE\n", + " SOFTWARE_EXECUTION_UNIT\n", " \n", " \n", " \n", @@ -378,45 +412,45 @@ ], "text/plain": [ " name nature kind \\\n", - "0 Switch Configuration BEHAVIOR DATA \n", - "1 Card 2 OS BEHAVIOR SOFTWARE \n", - "2 Camera Driver SWC BEHAVIOR SOFTWARE \n", - "3 Camera Firmware BEHAVIOR SOFTWARE_EXECUTION_UNIT \n", - "4 Vehicle NODE SOFTWARE_DEPLOYMENT_UNIT \n", - "5 Network Switch NODE HARDWARE \n", - "6 Card 1 OS BEHAVIOR SERVICES \n", - "7 Camera Assembly NODE HARDWARE \n", - "8 Sensor compartment NODE FACILITIES \n", - "9 Equipment compartment NODE FACILITIES \n", - "10 App 1 SWC BEHAVIOR SOFTWARE \n", - "11 Compute Card 1 NODE HARDWARE \n", - "12 Server NODE HARDWARE \n", - "13 Compute Card 2 NODE HARDWARE \n", - "14 Switch Firmware BEHAVIOR HARDWARE_COMPUTER \n", - "15 Cooling Fan NODE HARDWARE \n", - "16 App 2 SWC BEHAVIOR SOFTWARE \n", + "0 Vehicle NODE SOFTWARE_DEPLOYMENT_UNIT \n", + "1 Equipment compartment NODE FACILITIES \n", + "2 Server NODE HARDWARE \n", + "3 Compute Card 1 NODE HARDWARE \n", + "4 Card 1 OS BEHAVIOR SERVICES \n", + "5 Camera Driver SWC BEHAVIOR SOFTWARE \n", + "6 App 1 SWC BEHAVIOR SOFTWARE \n", + "7 Cooling Fan NODE HARDWARE \n", + "8 Compute Card 2 NODE HARDWARE \n", + "9 Card 2 OS BEHAVIOR SOFTWARE \n", + "10 App 2 SWC BEHAVIOR SOFTWARE \n", + "11 Network Switch NODE HARDWARE \n", + "12 Switch Firmware BEHAVIOR HARDWARE_COMPUTER \n", + "13 Switch Configuration BEHAVIOR DATA \n", + "14 Sensor compartment NODE FACILITIES \n", + "15 Camera Assembly NODE HARDWARE \n", + "16 Camera Firmware BEHAVIOR SOFTWARE_EXECUTION_UNIT \n", "\n", " components \n", - "0 \n", - "1 App 2 SWC \n", - "2 \n", - "3 \n", - "4 Equipment compartment; Sensor compartment \n", - "5 Switch Firmware; Switch Configuration \n", - "6 Camera Driver SWC; App 1 SWC \n", - "7 Camera Firmware \n", - "8 Camera Assembly \n", - "9 Server; Network Switch \n", + "0 Equipment compartment; Sensor compartment \n", + "1 Server; Network Switch \n", + "2 Compute Card 1; Compute Card 2 \n", + "3 Card 1 OS; Cooling Fan \n", + "4 Camera Driver SWC; App 1 SWC \n", + "5 \n", + "6 \n", + "7 \n", + "8 Card 2 OS \n", + "9 App 2 SWC \n", "10 \n", - "11 Card 1 OS; Cooling Fan \n", - "12 Compute Card 1; Compute Card 2 \n", - "13 Card 2 OS \n", - "14 \n", - "15 \n", + "11 Switch Firmware; Switch Configuration \n", + "12 \n", + "13 \n", + "14 Camera Assembly \n", + "15 Camera Firmware \n", "16 " ] }, - "execution_count": 18, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -439,32 +473,35 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 7, "id": "01644c9d", "metadata": {}, "outputs": [ { "data": { "text/html": [ - "
  1. PhysicalComponent "Sub PC" (793e6da2-d019-4716-a5c5-af8ad550ca5e)
  2. PhysicalComponent "Deploy Sub PC" (8a6c6ec9-095d-4d8b-9728-69bc79af5f27)
  3. PhysicalComponent "Compute Card 1" (63be604e-883e-41ea-9023-fc74f29906fe)
  4. PhysicalComponent "Compute Card 2" (3a982128-3281-4d37-8838-a6058b7a25d9)
  5. PhysicalComponent "Network Switch" (b51ccc6f-5f96-4e28-b90e-72463a3b50cf)
  6. PhysicalComponent "Camera Assembly" (5bfc516b-c20d-4007-9a38-5ba0e889d0a4)
" + "
  1. PhysicalComponent "Sub PC" (793e6da2-d019-4716-a5c5-af8ad550ca5e)
  2. PhysicalComponent "Deploy Sub PC" (8a6c6ec9-095d-4d8b-9728-69bc79af5f27)
  3. PhysicalComponent "Compute Card 1" (63be604e-883e-41ea-9023-fc74f29906fe)
  4. PhysicalComponent "Compute Card 2" (3a982128-3281-4d37-8838-a6058b7a25d9)
  5. PhysicalComponent "Network Switch" (b51ccc6f-5f96-4e28-b90e-72463a3b50cf)
  6. PhysicalComponent "Camera Assembly" (5bfc516b-c20d-4007-9a38-5ba0e889d0a4)
  7. PhysicalComponent "Computer" (b14ff190-9198-4d05-95db-b121c11e9f17)
  8. PhysicalComponent "ISP Network" (221cef9f-0582-419c-b67e-96ddb678dd4c)
" ], "text/plain": [ - ", , , , , ]>" + "[0] \n", + "[1] \n", + "[2] \n", + "[3] \n", + "[4] \n", + "[5] \n", + "[6] \n", + "[7] " ] }, - "execution_count": 19, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "def select_nature(component):\n", - " return component.nature\n", - "\n", - "\n", - "cmps = model.pa.all_components[1:]._filter(select_nature, \"NODE\")\n", + "cmps = model.pa.all_components[1:].by_nature(\"NODE\")\n", "# Note: the above [1:] assumes that 0th component is the root component and is not of interest (+ see issue #41)\n", - "cmps_with_sw = cmps._filter(lambda x: any(x.components._filter(select_nature, \"BEHAVIOR\")), True)\n", + "cmps_with_sw = cmps.filter(lambda i: i.components.by_nature(\"BEHAVIOR\"))\n", "cmps_with_sw" ] }, @@ -480,32 +517,34 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 8, "id": "70abf6f9", "metadata": {}, "outputs": [ { "data": { "text/html": [ - "
  1. PhysicalComponent "PC 16" (8bc4b7a6-1f90-4f5f-a6b4-08fd300fc927)
" + "
  1. PhysicalComponent "Card 1 OS" (7b188ad0-0d82-4b2c-9913-45292e537871)
  2. PhysicalComponent "Camera Driver SWC" (74067f56-33bf-47f5-bb8b-f3604097f653)
  3. PhysicalComponent "App 1 SWC" (b80a6fcc-8d35-4675-a2e6-60efcbd61e27)
" ], "text/plain": [ - "]>" + "[0] \n", + "[1] \n", + "[2] " ] }, - "execution_count": 20, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "def get_sw_components(sw_component):\n", - " subcmp = sw_component.components._filter(select_nature, \"BEHAVIOR\")\n", + " subcmp = sw_component.components.by_nature(\"BEHAVIOR\")\n", " for cmp in subcmp:\n", " subcmp += get_sw_components(cmp)\n", " return subcmp\n", "\n", - "get_sw_components(cmps_with_sw[0])" + "get_sw_components(cmps_with_sw.by_name(\"Compute Card 1\"))" ] }, { @@ -518,7 +557,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 9, "id": "faa00eb0", "metadata": {}, "outputs": [ @@ -578,6 +617,16 @@ " Camera Assembly\n", " Camera Firmware\n", " \n", + " \n", + " 6\n", + " Computer\n", + " Mail client\n", + " \n", + " \n", + " 7\n", + " ISP Network\n", + " Mail server\n", + " \n", " \n", "\n", "" @@ -589,10 +638,12 @@ "2 Compute Card 1 Card 1 OS; Camera Driver SWC; App 1 SWC\n", "3 Compute Card 2 Card 2 OS; App 2 SWC\n", "4 Network Switch Switch Firmware; Switch Configuration\n", - "5 Camera Assembly Camera Firmware" + "5 Camera Assembly Camera Firmware\n", + "6 Computer Mail client\n", + "7 ISP Network Mail server" ] }, - "execution_count": 21, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -601,7 +652,7 @@ "def describe_hw_component_sw_allocations(hw_component):\n", " return dict(\n", " hardware_component=hw_component.name,\n", - " deployed_sw_components=\"; \".join(map(lambda x: x.name, get_sw_components(hw_component)))\n", + " deployed_sw_components=\"; \".join(i.name for i in get_sw_components(hw_component))\n", " )\n", "\n", "df = pd.DataFrame(list(map(describe_hw_component_sw_allocations, cmps_with_sw)))\n", @@ -613,31 +664,40 @@ "id": "851b0540", "metadata": {}, "source": [ - "to complete the picture we could also list all HW components that dont have software (so that a sanity check could be perofrmed)" + "to complete the picture we could also list all HW components that dont have software (so that a sanity check could be performed)" ] }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 10, "id": "e48d4998", "metadata": {}, "outputs": [ { "data": { "text/html": [ - "
  1. PhysicalComponent "PC 1" (8a6d68c8-ac3d-4654-a07e-ada7adeed09f)
  2. PhysicalComponent "PC 3" (f5d7980d-e1e9-4515-8bb0-be7e80ac5839)
  3. PhysicalComponent "Vehicle" (a2c7f619-b38a-4b92-94a5-cbaa631badfc)
  4. PhysicalComponent "Vehicle" (b327d900-abd2-4138-a111-9ff0684739d8)
  5. PhysicalComponent "Equipment compartment" (3d68852d-fcc0-452c-af12-a2fbe22f81fa)
  6. PhysicalComponent "Server" (9137f463-7497-40c2-b20a-897158fdba9a)
  7. PhysicalComponent "Cooling Fan" (65e82f3f-c5b7-44c1-bfea-8e20bb0230be)
  8. PhysicalComponent "Sensor compartment" (3f416925-9d8a-4e9c-99f3-e912efb23d2f)
  9. PhysicalComponent "PA 1" (a0847e9c-8b82-407d-8143-e908e2db97a1)
" + "
  1. PhysicalComponent "PC 1" (8a6d68c8-ac3d-4654-a07e-ada7adeed09f)
  2. PhysicalComponent "PC 3" (f5d7980d-e1e9-4515-8bb0-be7e80ac5839)
  3. PhysicalComponent "Vehicle" (a2c7f619-b38a-4b92-94a5-cbaa631badfc)
  4. PhysicalComponent "Vehicle" (b327d900-abd2-4138-a111-9ff0684739d8)
  5. PhysicalComponent "Equipment compartment" (3d68852d-fcc0-452c-af12-a2fbe22f81fa)
  6. PhysicalComponent "Server" (9137f463-7497-40c2-b20a-897158fdba9a)
  7. PhysicalComponent "Cooling Fan" (65e82f3f-c5b7-44c1-bfea-8e20bb0230be)
  8. PhysicalComponent "Sensor compartment" (3f416925-9d8a-4e9c-99f3-e912efb23d2f)
  9. PhysicalComponent "Router" (69bfe48d-78f0-4b1f-89c0-917dc2339ff9)
  10. PhysicalComponent "PA 1" (a0847e9c-8b82-407d-8143-e908e2db97a1)
" ], "text/plain": [ - ", , , , , , , , ]>" + "[0] \n", + "[1] \n", + "[2] \n", + "[3] \n", + "[4] \n", + "[5] \n", + "[6] \n", + "[7] \n", + "[8] \n", + "[9] " ] }, - "execution_count": 22, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "cmps_without_sw = cmps._filter(lambda x: any(x.components._filter(select_nature, \"BEHAVIOR\")), False)\n", + "cmps_without_sw = cmps.filter(lambda i: not i.components.by_nature(\"BEHAVIOR\"))\n", "cmps_without_sw" ] } From 2ba47fc1184233e440dc48e7c62fb74ddfd8a69c Mon Sep 17 00:00:00 2001 From: Martin Lehmann Date: Thu, 21 Sep 2023 14:32:57 +0200 Subject: [PATCH 3/4] docs: Update demo notebooks Update the demo notebook code with some newer access and shortcut methods, and re-render all notebooks. Also fix a couple more typos. --- docs/source/examples/01 Introduction.ipynb | 247 +++++++++------ ...2 Intro to Physical Architecture API.ipynb | 24 +- docs/source/examples/03 Data Values.ipynb | 137 ++++++--- .../04 Intro to Jinja templating.ipynb | 269 +++++++++-------- .../05 Introduction to Libraries.ipynb | 41 ++- ...to Requirement access and management.ipynb | 280 +++++++++++++++--- docs/source/examples/07 Code Generation.ipynb | 63 ++-- docs/source/examples/08 Property Values.ipynb | 13 +- .../source/examples/09 Context Diagrams.ipynb | 131 +++----- .../examples/10 Declarative Modeling.ipynb | 77 ++++- .../examples/11 Complexity Assessment.ipynb | 4 +- 11 files changed, 800 insertions(+), 486 deletions(-) diff --git a/docs/source/examples/01 Introduction.ipynb b/docs/source/examples/01 Introduction.ipynb index f3d5a53a9..983c7661c 100644 --- a/docs/source/examples/01 Introduction.ipynb +++ b/docs/source/examples/01 Introduction.ipynb @@ -18,14 +18,6 @@ "id": "3e28d1c9", "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Cannot load PVMT extension: ValueError: Provided model does not have a PropertyValuePkg\n", - "Property values are not available in this model\n" - ] - }, { "data": { "text/plain": [ @@ -49,14 +41,7 @@ "id": "48ce0c1e", "metadata": {}, "source": [ - "The additional `jupyter_untrusted` parameter is there such that GitHub renders diagrams correctly with all defined styles. Whenever you have an untrusted notebook jupyter sanitizes css and javascript elements for security reasons. This causes display of SVGs via [\\_repr_svg\\_](https://ipython.readthedocs.io/en/stable/config/integrating.html) to not function properly. Locally just trust your notebooks and you can savely use\n", - "\n", - "```python\n", - ">>> diag\n", - "```\n", - "for diagram display.\n", - "\n", - "Please also ignore the warning above - it indicates that we probed the model for the PVMT extension and it wasn't there, so PVMT-related features will not be available. In some not so distant future this may disapear as we'll be able to inject PVMT into models, but for now, if you want to use PVMT-related features you need to enable PVMT for that model in Capella.\n", + "The additional `jupyter_untrusted` parameter is currently needed to render diagrams correctly. In untrusted notebooks, all CSS elements (and JavaScript too) are removed for security reasons - however, capellambse-generated SVGs use a stylesheet to make the implementation a bit cleaner.\n", "\n", "Having said that, lets go to the first practical example of working with the library!" ] @@ -75,7 +60,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 2, "id": "abcd8693", "metadata": {}, "outputs": [ @@ -83,12 +68,12 @@ "name": "stdout", "output_type": "stream", "text": [ - "Prof. A. P. W. B. Dumbledore\n", + "Multiport\n", "Prof. S. Snape\n", - "Harry J. Potter\n", + "Voldemort\n", "R. Weasley\n", - "LogicalActor 5\n", - "Multiport\n" + "Prof. A. P. W. B. Dumbledore\n", + "Harry J. Potter\n" ] } ], @@ -107,7 +92,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 3, "id": "56bb4b44", "metadata": { "scrolled": true @@ -116,14 +101,55 @@ { "data": { "text/html": [ - "

LogicalComponent (org.polarsys.capella.core.data.la:LogicalComponent)

components

(Empty list)

constraints

(Empty list)

description

Good guy and teacher of brewing arts.

\n", - "
diagrams

(Empty list)

exchanges
  1. ComponentExchange "Teacher Responsibilities" (9cbdd233-aff5-47dd-9bef-9be1277c77c3)
functions
  1. LogicalFunction "teach Potions" (a7acb298-d14b-4707-a419-fea272434541)
  2. LogicalFunction "maintain a layer of defense for the Sorcerer's Stone" (4a2a7f3c-d223-4d44-94a7-50dd2906a70c)
is_abstractFalse
is_actorTrue
is_humanTrue
nameProf. S. Snape
ownerLogicalComponentPkg "Structure" (84c0978d-9a32-4f5b-8013-5b0b6adbfd73)
parentLogicalComponentPkg "Structure" (84c0978d-9a32-4f5b-8013-5b0b6adbfd73)
parts
  1. Part "Prof. S. Snape" (ccbad61a-39dc-4af8-8199-3fee30de2f1d)
physical_links

(Empty list)

physical_paths

(Empty list)

physical_ports

(Empty list)

ports
  1. ComponentPort "CP 1" (b4e39757-b0fd-41ff-a7b8-c9fc36de2ca9)
progress_statusNOT_SET
realized_components

(Empty list)

realizing_physical_components

(Empty list)

requirements

(Empty list)

state_machines

(Empty list)

summaryNone
uuid6f463eed-c77b-4568-8078-beec0536f243
xtypeorg.polarsys.capella.core.data.la:LogicalComponent
" + "

Prof. S. Snape (org.polarsys.capella.core.data.la:LogicalComponent)

allocated_functions
  1. LogicalFunction "Teaching" (a7acb298-d14b-4707-a419-fea272434541)
  2. LogicalFunction "maintain a layer of defense for the Sorcerer's Stone" (4a2a7f3c-d223-4d44-94a7-50dd2906a70c)
applied_property_value_groups
  1. PropertyValueGroup "DarkMagic.Power" (2a480409-57d1-46f8-a0ce-e574706a9a7c)
  2. PropertyValueGroup "DarkMagic.Power Level" (b1d7453b-69ab-4d81-ab8b-1e48b5870340)
applied_property_values

(Empty list)

components

(Empty list)

constraints

(Empty list)

context_diagramContext of Prof. S. Snape (uuid: 6f463eed-c77b-4568-8078-beec0536f243_context)
description

Good guy and teacher of brewing arts.

\n", + "
diagrams

(Empty list)

exchanges

(Empty list)

filtering_criteria

(Empty list)

functions
  1. LogicalFunction "Teaching" (a7acb298-d14b-4707-a419-fea272434541)
  2. LogicalFunction "maintain a layer of defense for the Sorcerer's Stone" (4a2a7f3c-d223-4d44-94a7-50dd2906a70c)
is_abstractFalse
is_actorTrue
is_humanTrue
nameProf. S. Snape
ownerLogicalComponentPkg "Structure" (84c0978d-9a32-4f5b-8013-5b0b6adbfd73)
parentLogicalComponentPkg "Structure" (84c0978d-9a32-4f5b-8013-5b0b6adbfd73)
partsBackreference to Part - omitted: can be slow to compute. Display this property directly to show.
physical_links

(Empty list)

physical_paths

(Empty list)

physical_ports

(Empty list)

ports
  1. ComponentPort "CP 1" (b4e39757-b0fd-41ff-a7b8-c9fc36de2ca9)
progress_statusNOT_SET
property_value_groups
  1. PropertyValueGroup "DarkMagic.Power" (2a480409-57d1-46f8-a0ce-e574706a9a7c)
  2. PropertyValueGroup "DarkMagic.Power Level" (b1d7453b-69ab-4d81-ab8b-1e48b5870340)
property_values

(Empty list)

pvmt<capellambse.extensions.pvmt.PropertyValueProxy object at 0x7f496cb3f010>
realized_components

(Empty list)

realized_system_components

(Empty list)

realizing_componentsBackreference to - omitted: can be slow to compute. Display this property directly to show.
realizing_physical_componentsBackreference to PhysicalComponent - omitted: can be slow to compute. Display this property directly to show.
related_exchangesBackreference to ComponentExchange - omitted: can be slow to compute. Display this property directly to show.
requirements

(Empty list)

state_machines

(Empty list)

summaryNone
traces

(Empty list)

uuid6f463eed-c77b-4568-8078-beec0536f243
xtypeorg.polarsys.capella.core.data.la:LogicalComponent
" ], "text/plain": [ - "" + "\n", + ".allocated_functions = [0] \n", + " [1] \n", + ".applied_property_value_groups = [0] \n", + " [1] \n", + ".applied_property_values = []\n", + ".components = []\n", + ".constraints = []\n", + ".context_diagram = \n", + ".description = Markup('

Good guy and teacher of brewing arts.

\\n')\n", + ".diagrams = []\n", + ".exchanges = []\n", + ".filtering_criteria = []\n", + ".functions = [0] \n", + " [1] \n", + ".is_abstract = False\n", + ".is_actor = True\n", + ".is_human = True\n", + ".name = 'Prof. S. Snape'\n", + ".owner = \n", + ".parent = \n", + ".parts = ... # backreference to Part - omitted: can be slow to compute\n", + ".physical_links = []\n", + ".physical_paths = []\n", + ".physical_ports = []\n", + ".ports = [0] \n", + ".progress_status = 'NOT_SET'\n", + ".property_value_groups = [0] \n", + " [1] \n", + ".property_values = []\n", + ".pvmt = \n", + ".realized_components = []\n", + ".realized_system_components = []\n", + ".realizing_components = ... # backreference to - omitted: can be slow to compute\n", + ".realizing_physical_components = ... # backreference to PhysicalComponent - omitted: can be slow to compute\n", + ".related_exchanges = ... # backreference to ComponentExchange - omitted: can be slow to compute\n", + ".requirements = []\n", + ".state_machines = []\n", + ".summary = None\n", + ".traces = []\n", + ".uuid = '6f463eed-c77b-4568-8078-beec0536f243'\n", + ".xtype = 'org.polarsys.capella.core.data.la:LogicalComponent'" ] }, - "execution_count": 8, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } @@ -144,18 +170,10 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "id": "400e483d-eca7-4fdd-a9e0-71467e1af8d8", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Note: you may need to restart the kernel to use updated packages.\n" - ] - } - ], + "outputs": [], "source": [ "%pip install -q pandas openpyxl" ] @@ -170,7 +188,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 4, "id": "833220d0", "metadata": {}, "outputs": [ @@ -202,18 +220,18 @@ " \n", " \n", " 0\n", - " Prof. A. P. W. B. Dumbledore\n", - " manage the school; advise Harry\n", + " Multiport\n", + " LAF 1\n", " \n", " \n", " 1\n", " Prof. S. Snape\n", - " teach Potions; maintain a layer of defense fo...\n", + " Teaching; maintain a layer of defense for the ...\n", " \n", " \n", " 2\n", - " Harry J. Potter\n", - " kill He Who Must Not Be Named\n", + " Voldemort\n", + " no functions assigned\n", " \n", " \n", " 3\n", @@ -222,13 +240,13 @@ " \n", " \n", " 4\n", - " LogicalActor 5\n", - " no functions assigned\n", + " Prof. A. P. W. B. Dumbledore\n", + " manage the school; advise Harry\n", " \n", " \n", " 5\n", - " Multiport\n", - " LAF 1\n", + " Harry J. Potter\n", + " kill He Who Must Not Be Named\n", " \n", " \n", "\n", @@ -236,23 +254,23 @@ ], "text/plain": [ " actor \\\n", - "0 Prof. A. P. W. B. Dumbledore \n", + "0 Multiport \n", "1 Prof. S. Snape \n", - "2 Harry J. Potter \n", + "2 Voldemort \n", "3 R. Weasley \n", - "4 LogicalActor 5 \n", - "5 Multiport \n", + "4 Prof. A. P. W. B. Dumbledore \n", + "5 Harry J. Potter \n", "\n", " functions \n", - "0 manage the school; advise Harry \n", - "1 teach Potions; maintain a layer of defense fo... \n", - "2 kill He Who Must Not Be Named \n", + "0 LAF 1 \n", + "1 Teaching; maintain a layer of defense for the ... \n", + "2 no functions assigned \n", "3 assist Harry; break school rules \n", - "4 no functions assigned \n", - "5 LAF 1 " + "4 manage the school; advise Harry \n", + "5 kill He Who Must Not Be Named " ] }, - "execution_count": 10, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -278,7 +296,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 5, "id": "10af24a2", "metadata": {}, "outputs": [], @@ -312,7 +330,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 6, "id": "eb5f8747", "metadata": {}, "outputs": [ @@ -321,7 +339,8 @@ "output_type": "stream", "text": [ "[LAB] Wizzard Education\n", - "[LAB] Test Component Port Filter\n" + "[LAB] Test Component Port Filter\n", + "[LAB] Hidden Wizzard Education\n" ] } ], @@ -340,33 +359,69 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 7, "id": "71bf090e", "metadata": { "scrolled": true }, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Unknown global filter 'hide.sequencing.information.filter'\n", - "Unknown global filter 'ModelExtensionFilter'\n", - "Unknown global filter 'hide.simplified.diagram.based.component.exchanges.filter'\n", - "Unknown global filter 'hide.simplified.oriented.grouped.component.exchanges.filter'\n", - "Unknown global filter 'hide.simplified.group.of.component.exchanges.filter'\n" - ] - }, { "data": { "text/html": [ - "
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  2. Part "Campus" (a3194240-cd17-4998-8f8b-785233487ec3)
  3. FunctionInputPort "FIP 1" (68399bb1-5f8c-4137-89f4-73f25d3bdbe6)
  4. LogicalFunction "advise Harry" (beaf5ba4-8fa9-4342-911f-0266bb29be45)
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  35. ComponentPort "CP 3" (d7e0cc4d-eef6-4173-9a21-1bd933a5d9f0)
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  49. GenericElement "(Unnamed org.polarsys.capella.core.data.information:PortAllocation)" (c1019d06-f376-48e3-832e-634a8ec59463)
  50. ComponentExchange "Help for Harry" (d8655737-39ab-4482-a934-ee847c7ff6bd)
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  71. LogicalFunction "maintain a layer of defense for the Sorcerer's Stone" (4a2a7f3c-d223-4d44-94a7-50dd2906a70c)
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" + "
  1. Part "Hogwarts" (101ffa60-f8a2-4ea2-a0d8-d10910ceac06)
  2. LogicalFunction "produce Great Wizards" (0e71a0d3-0a18-4671-bba0-71b5f88f95dd)
  3. LogicalFunction "protect Students against the Death Eaters" (264fb47d-67b7-4bdc-8d06-8a0e5139edbf)
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  5. Part "School" (018a8ae9-8e8e-4aea-8191-4abf844a79e3)
  6. LogicalFunction "educate Wizards" (957c5799-1d4a-4ac0-b5de-33a65bf1519c)
  7. Part "Whomping Willow" (1188fc31-789b-424f-a2d4-06791873a351)
  8. LogicalFunction "defend the surrounding area against Intruders" (7f2936ab-0b54-4e92-9f0c-85a9f0981959)
  9. Part "Prof. A. P. W. B. Dumbledore" (4c1f2b5d-0641-42c7-911f-7a42928580b8)
  10. LogicalFunction "manage the school" (f708bc29-d69f-42a0-90cc-11fc01054cd0)
  11. LogicalFunction "advise Harry" (beaf5ba4-8fa9-4342-911f-0266bb29be45)
  12. Part "Prof. S. Snape" (ccbad61a-39dc-4af8-8199-3fee30de2f1d)
  13. LogicalFunction "Teaching" (a7acb298-d14b-4707-a419-fea272434541)
  14. LogicalFunction "maintain a layer of defense for the Sorcerer's Stone" (4a2a7f3c-d223-4d44-94a7-50dd2906a70c)
  15. ComponentExchange "Headmaster Responsibilities" (c0bc49e1-8043-4418-8c0a-de6c6b749eab)
  16. ComponentExchange "Teacher Responsibilities" (9cbdd233-aff5-47dd-9bef-9be1277c77c3)
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  35. FunctionalExchange "educate & mature" (09efaeb7-2d50-40ed-a4da-46afcb9ca7a1)
  36. FunctionalExchange "Knowledge" (b1a817bc-40a9-4fc4-b62c-8dea4aa28915)
  37. PortAllocation "" (dda7a62a-f25f-46d8-8f05-867c616914c1)
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  48. PortAllocation "" (c90bb30d-e36b-46a3-a3a1-e39fdcb519be)
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"cc09fd22", "metadata": {}, "outputs": [ { "data": { - "image/png": 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8gZB6lPDMe4zriT1/S/S0ywur7dwshWKhIqWytKa2oh4AWCyWvqm0NL9CrKMlkggPfXqaGcFobKl/+0KKtYtZRkL2pEWjlavVN5FWl9Zkp+ab25vci30AQGvrioHFwiVWEWovObkoKalI060YIgwMnDvJza8CyiwIuFqce78Ci0VZhVHWYYpcdl4UOz8KAFTSe5dAKGxqLPv83Wf1DK1JkrifFPfeizMAwNUriMvjv/z+t2JtnQOfv3Ur6qy1fXcX2rWys89ITj77y5Hk2Fudlxw7ddr8UUGegUGKySNir0SVFRf/9L9dz776OkmSK6dN/s/XezqKpqT6+mOnTvv4tXWhkyYf+fabLfu/BwCvwKDfD+znrn7O2cNTeXvqvKc2rXp2/opVqfG3n355XTenqxi8NP/0rvx5ztjMfPbSZZpuCEIIDRf+Yyb4j5mwc/OGiKdeYu5V4Au0KIpqqKsGAJIk5DI5m81T23umayx1VJo10dzBhPld1shCf+7aKQ9S8owt9Z18/QHA2NJgzprJ2fcKrJ3N9U3bps8NCPdorG0CABaLNe2ZMHNbIwAInuKTeSenubH12c1zaZpmc9i6hm23Q3C4nCdemJR7r8DIUt/OzbIgs6ShpnHhaxEiiVafXiKEBqOkpKKff47TdCuGCH39zsKzkfYsdvEtAGDCMGL0e5SVUniWH8W9/kH79N4l1BK9t/PzbW+9HTplzb7tr5MEUVNRCgD3Em/q6pu4eI4CAGtHj7wHd63szNsPnZq/YpW2REeRvnzd60CDUEu05+SZq+f/nPTEHK+gYKDh6ZdeUZRR3tYSiU0sLSc/OUeRYmRqlnbnzotvbx4zZSoAzFi42NDYVJGrcjoA2PLdD3/+9mt+Vtb2g4csbe2AhiVrXvr7xLHczExnd0/l7be2br989kxqfLyLpzcAS6VVQ4+Gw7O8B5neQSNvXIicOPuJbk6LuXPDcVJOsjlskqTcA20mPeXfg7u2PnnhsHKfm9qU9q6dS6FIeuxMz0c9HUIIDUBNDfUlBTnM9qsf/qicVV1RBgBV5aXWTqr3A+sZ6egZ6Sh2mUk7GPqmuoowjGFooW9ood/c0CLWaYumzGz/Le85qu3bD5fHcQ1w6KidRhb6Rhb6zLbUcKhNoIxQr/P0NPf07Mad/KhT69Z93knuzSya2Py+YpeyfCgGoyzDKKux7PwrfdU45XNRVElBzoyFr8xY+IpyOvPxPmXOCwBwL/F0+wPnPfvQXXPL17WtSW3v4mrv4qpIX7r2ZbXbAFBeXBwSPkmxa+vkbOv0b0yrUr/KLgBwOJyIBQ999xZqac1ctKT9NgCMi5gxTqmkSkuGGA2HZ99s+e/G7Ttqq6u+/vjD9Vu2dfOole9OkxqISYI6tvfaiX3X574wpk8bidCQNXR/eULdERA6proyvZMCesbaVvYuPX6dkCQVdfyWlZPZ3Vv3A8M98fWGUP/w9DRfsiRA060Y9JYuzegk92Y2LQ95TzmF1VhEi9uiYtI6jFUwjp1/pR9u+J86f07aneQuysyd3evNSI2/be3gyBcK8aO912kyPPv7xPFRE8IlUqlEKjW1tLz+91+jJ6lZWKwjHC77iVWjP37+0IxnRgq0eFtePLLx64UAcOpAtL2bmUew7UerD9m4mpQX1Ej0RA4e5veTCssLa+a/ONbF16qlSfbDtr9qKhr1jbUXvDSeL/z3OmTdLT61P1ouI7xC7KcsDACAnLSSUwducjisqrL6sNneAFDwoPzMDzdbm+VGFrrzXwzj8Tk7Nxw3tdLLzyxf+/Gs4rwqlRoQQmgAmjRncZ/Wz2axHDysygoqA8I9LexN+vRcCCGkQbwbH3JjtrUsvEibtU1tQFmGyUe/p9Kr1he8g4K8g4L6+iztyWWylW+s7//zDgfdGBbYN1MHtjQ1Xzh5ImLBImZ3yZqXTh36qbmhsbtzDtIANPB4HFNr/fKi2rb0hwtUldXPXT3m9R3z+AJebWXj8+9HPL1+0h+HYoGGhtrmJ1eGrtv6pEBLcPVMsuJwUk79+lXU8+9HvPH5/Pt3CkrzqymS/vmLS89smLT249k6+mKKpGmKPrTj4uJXJ6zbNofFYkX/mQo05KaXBoW7vvnFfL6Ap1JDv07IiFM3IoQGDBabZeNqETjRC2MzhNAQ11QORLPgxBxWY9vULJR1GBHyXt/NC6JxPiNH+YwcpelWDE0a6z0TCIVvf/aFYkVpNpv9zo6dQpHoUethsVhCLZ7aLEMzqUgiAAB7N1NmQlFrJ+PGuhYAMDTV0dEXAYDfGIfLp5IUh1SW1pUV1pzYfwMAmhpklSV1PD5XW6ol1RcDgH+YE0XSNRUNWtoCHT0xAPiGOsZE3hs708vQVMduhKnaGkws9R71SSHUPzBORwghhDqi+JqqntI/ovLxn7ErUtj5V/gnF7Q+dQE4Q3ZJLtQPNBaesVgsHb2H4haV3e4gCaq6rF7fRAeUFsZRcy42iyZpxTZzemaXL+RxlGZn5gt5Ns7Gi14Zr0ipKK4lZCrrtFKKFJ6Ay+awVSpUqQEhhBBCCA0uNE0DQETEns+Ov9B1aTZPNvOw4GAwuzCak3yA9Hm+z9uHhi6NLUv9OIPymA2SpE4euBEy1Y3FZtEAQNMVpXU0QG5GmUpJaHd4RXFtVXk9DZByK8fB05xJp2haR1/c0izPyyxn6qcBdI0kddXN5cW1NMC9+DwAWs9YUl/TlpIck+3kZaF8ivY1DMwHQgghhBDqLbTIpHX2UXnIe6T3ak23BQ1uml/3rAe+/+95Lp/DYrH8w5yCJ41gEqctC9797mkzW/2WxtYuazA0kx79+gpJUAYmkklP+QOA7xjH7/97/pmNU5a+Hn5833WhiE/T8MyGyTw+Z9G68T9s+1tqIAZg0cBic9iLX5twaMcFgYhnYqkXOMFFuWYWC9rX0BcXASGEEEII9bXu/6hNmwVS/0wNws6P4uRHkVZhfbfuGRqqBl949srWJ9Wm+4x28Bn90LI5m3a3raUwerqHSqIiS2Hq4ra3k7md4dqPZytnOftYvuEzTznF0dNi3adz1J5LbQ0IIYQQQmj44ORH8W58ACF9uCw1GqoGX3iGEOo9ONAVIYQQ6jM0qekWoMGnG+EZfn9DCCGEEELDU4++CbOLbwEAJ/svech/erk9aKjrxrpnCCGEEEIIoW6jdawBgF0Sy03+TtNtQYMMhmcIIYQQQgj1JsJlAen0BADwL7zCLo7VdHPQYIL3niE0jOHQZYQQQqgPUFZhrVZh/AsvcxN3c5P3yf6Z0bGb/Fd591HDhqHb++5ougmPpuvwDL+/IYQQQgih4elxvgm3jt9BGXnJPVf24NjIHzc+xplRm4nLtgy6WAZ7zxBCCCGEEOoDbJ7cC1epRo8GwzOEEEIIIYQ6MOg6X5CKwfYXxKlBEEIIIYQQ6k2c/Che9Aec/KiHErP/YJfgNCGoC7juGULDF765EUIIob7ALojiR38gG/UeaRXGpHBy/hKemE2JzVuWxtAiE802Dw1k2HuGEEIIIYRQ3yKtx1MWoeyGAsGpeUDKNN0cNHBheIYQQgghhFAfY/NaZhymtC05RdH8qDc13Ro0cGF4hhBCCCGEkHp0jx5qD6dEJi2zjgJXyK7Noil5dw5Hj69nf8E+fXQOZ25ECCGEEEKoAz2KlkiLMNmo90iLMJXDKZPA5qeiSGNfYLExDusng+0647LUCCEE257fq+kmIPTINnzznKabgBBSj7QKU0wKoppl4t/PjUGDC/aeITSM4a8vSjbte0HTTUDoEfx31R58CyOE0NCDE+sjNJzh2xuhQQ3fwggNbpycP7mF11pHf6TphqABBHvPEEIIIYQQ6m+splLhmadY8iZS15FwX67p5qCBAmduRAghhBBCSD2a7smDnR/Fi/6AnR/VSRlKy6Q1/GsAEF5YyyqOVc5Cvahnf8E+fXQOwzOEEAIATU+yq9EHTdGknOj8QRGkxtuJj4ceCKEBjFMQJbj5AacgqvNictelcu8XgWwVnZ7Daizqn7ahAQ4HNyKEEMDw/rp78fSvSbeu6eobAgBN0xRJcLhcAJZymZz79/5v9xENNRAhhIaslrDP2JUpwNECrlafnqixqfVGwv1Joz2Y3ZKK2rMXE1Y+NU6RrlKAouhTkfFPTG6bZ7K6tjHhbu6EUW4d1X/mYmKIn5O+rhgAisqq72UWhYe4M1nXb2dYmuhl5JYqKkedwPAMIYQYwzdAo2l6xsLVtk5uAHA98vSnG1Z99fs1Szsn5TLff/EftZeIIqmce4UVxdX6JlILB1MtsaCfGo0QQkMDm9c88xjwJTSL06fnaWhqjbyaogiQxEK+nZWxcrpKAZIij/8VpxSeNVyMTu0kPLufU8LhsKeFeQHAn1FJP5+KHu3vLBTwAODH49ffemGWcuWoE10PbtT48A189MUDIdD0i3BAPYazUz/tjbsaef63g3cTbhFykpDJZa0tBEES8ocetLrB8g21jYd3nCl8UKqjr11RVJ2bVtj/7R/ONP7GGTgPhAY1WqDb17GZsqrahtMXEthsNklRPauhsan1zMXEP6KS5AShSAz0sk+6l8dsp2YUzpjgm5CaAwC19U0iLb5IyKMBbiY8+O2P2KKyaqZYS6v8zytJpy8k1NU3P9ZTGlrw3jOEEBrWSvLy12z84omlryTFXifkJElQNAAp71Z4Fnk4OnSm/5jZAa7+9iOn+rj62wNAVUlNQtTdO9fSCDkJAPdiHxTnlN36O6kwq7S1ufXOtbTEK/dIoi2rNK8iNjKpMKuUqTD+UgqzkXO3oLKkBgAa65pTb95PvHK3trK+fy4IQgg9PtIyrHXke6RlWE8OpnsYNXWHnCA+/uqUnZUx01fWeeEWmTw+NYd53M0sZhJlcuLt7Udpmi4tr/1g10lFYV83m+T0fACoqm2Q6ojGBrncSMgEgMS7eX4etgAQn5pTWlHD47Hf/ORIS6ucouhNn/5KUzRBkq9+9FOLTN5HT3nQ6cN1zwKf8+7hkUNX7N47mm4CQgg9JCs95bvP3icIubG5BUGQJEkBDQRJEQSpXKx9dEaSVHlRlY2rhUpiQtQ9M1vD3LSivPSimSsnnNwbGRLhb2Cqc+rbC9pSceBEj8yk/KKssunLw07ujQya7G3paPLXT9fGzx9pO8Ii7mKq33gPAMhKLbByMpXoin/+9NSY2QEsFq+1WdbHVwIhhNTp0Tdh0iKMtAjrweGc3POCa2/pcsiuiz46GuDz/ecnhnp4OFuUVtR1WV4mJ1MyCpjtqppGZiMm8YGeVBTk7QAAb3xySE6QPC4HAMQigaG+dnFZTVJ6fqCXvZer9f8ORtI0nXA3Z+pYbwDwcbOePckfAGKTsnMLK+rqm4z0JdPGeQNAcnpBdHzm+JEj+uJZD7oe9r699yzyx419Wv/gMnHZFk03ASGEVG3+6vtLZ37X07e2d/Ei5CQz1oUkSKbvS4GmVP99q6us19IWqiRyOOzwBaMAwN7T+sCHvwOAnpHO2CcCAKCqtE4s1XINcLBzt/z+o+NM1oT5IwGAJKg7V9NsR1io1EaRJEXR5vYmOvravfiUEUKo+/r3uz0tvPEuJTJ5Si9FEn2mfbbM0rnVyrnHtZdX1d1Jy1u9YFw3y+uIhU8/GcpsZ+WV7v/tCgBU1zbmF1eev5oEAJPHeLJY/84j5e/pkHgv73ZK9prF4VwO28HGODOnNDO31NnOtLyqnsNqG7WnJxXLCaqovMbOyohJcXcyr6xu6PHz6txgi85wahCEhrNB94mF+sD2DS/oGZoQREJ2etLE2c9QBAlAk3KSkBPKxah23WfaUnFteR1Ng9I/zUDTEHUspr6mSVsqam5oAQBFtlhHSBEUAAi0/pk+5J8sUxvDhKh77dsmFAtDInwPf3ZG30R38pLRUgNJLzzhoQTfwggNNSzCLkI75/QbVq3UpV/aZ9eNmfM44Zmxvs78aUGffH1q68aFPa7E3ETPysxAEbYpC/S0O3Y+trauyUBPGwBG+aAKDxIAACAASURBVDmduhBvYiBls1ntCxvoSm4nJzPbWXnlIf5O7csMTxieIYQQAAzfb7pGprZzlr9ZX1sV9cevzL1nAECo7T17+BLx+Fx9U93UmxkeI//9rlBZVFVVWjtnzWQAiDmf2HZI+/8CAA3VZbXyFoIn4JYXVukZSYAGQkaQBMXhsNtK0uA5ysVzlEvchaSYP+9MXqzm2wBCqB9cuRd39V6spluhATlacfvO9Os/D5yCtEmWo6csu9xwe3dt9KdUS3Xv1j99vE9yesGPx68xAw4BQFssrKhpyCuqNNCTMBvW5gad1ODnYfvDsauHT0e72JuVVdZNHeulyHK2N70YfXfxrFHMbpCX/cf/O/nGymlq6wnytj/wW9TJyNtaQkFhaVWwj2MvPcVBD8MzhBAa1oTaoj3/XcdhC/zHTCcIkiIpWWvLrv+8wOMLAcDZI3DBc+8AgNqpQaYuHXP0qz/L8istnUzrKuulBjq2bpblBZX3YjOLssu7c/bT+y96jHSKjUwOf2oUABhbGV76LcbS0eTWX3esHE0bahtvX0y1dDSpqWjkCXi9+rwRQo/g6r3Yj4/v0XQrNEELvj0T18/n1ObANL5EZ9QGbf817YO0gszSmPNJFQW1LBZbR0/sFeboFuTQrWpFgoljPABg3bNTfv8zlsfhMLtiLf6LyyZm5ZVZmxsoNgCAw+Y8OTlAcbieVHvCKHcAYLNY2zctjoq5l19U6e5sqXwKNov1xqrpHv8kikWCF5dODPZ1UD47AIz2czIxkPB53M/fXRoVk0YS5CfrF3A5OGFhGwzPEEIIYPh2nsGzr2+OPHGYzzOxsHEm5CSby+fyBE2N9ZyWZgCorixlutFodfGZrrF0+Ttzs1LzqsvqjCz0ze1NuHzuvJenZaXmOfvamdkZ0wAB4R7MgaZ2xvQ/PXBMop6xdOQ0n8IHpZOWhBqZ69MAM1dOSL6RLpcRS9+aLRQLBSKhrZtFWUGlo5eVpbP5sP0bITRAjHENGDsioOtyQ8jPP8dNnN+Tp8wpiOIWRFE6NpSOLaVjS+vYKLJYdbnsuhzFrnLu7fS4+Pv/RoPsdkHatdO3b2rRvqP8Qsdbawt0oJmdGnf36x+OjVvm4zbSvvMmiUUCZtkxoYC3ZHYIAChWIfN3t1XZAAA2m6VY9AwA9KRixaJnAj538hhPtWdh1j1TmDMlQOXsADDSt62jTEdba2a4b+fNHoYwPEMIoWGPhsrSIg6HDwBGprb/+fov5cySghwAaGlqUnsoT8B18XvoO4G+qa6+qa5il5mJEQDMbI3VJiqn84U8/wkPLVpq7WJh7aI6ZQhCSCPGjgh4Z84aTbeiX934bs+qiBd6cKAgplzQ+htAObTGtdq/1xq8RinrA0HMb4pd5Vxfp7ikS9tHmRkrV8UEaSK3p0p/mmhhaR7k4i/hS5ksiVQyafqkOU/O27d7HyG77zVW/e1b8ak5XA7Hy9VKkZJbVJFTUBEW5NqDpxafmtPULAsNcFZUVV3T5ONm3c1jUzIKWMAy0BWPCXSRaGv1oAGPbLD9ttd1eKZuPAvqIbyYCKEByD1gVNyVC1WV6Z2UCZ4wsd/agxBCA0fPvrsRFmF08HvMNmkRRneQpZLr5xwwqtrNlP9QVZSsXtF7xpZaFGeV3s3LdBnhdGLfuYkR4bOfnAUAr617fePmNzsKzxJSc6Ji0n/Y/pxilsV9v0TxuJzuhGcnI2+TJK3oBGNqO3ru1v5tq82N9QAgr7DyQW6Z2vBM7bEA4OViFZeSe/j9H/ZvXc1Myt+nBt23b+w9Q2g4G3QfWX1q+F4NMyubmUtWdKNgL1+igHCP4XzZewNePYQGKMIyjOhgTepOslQoB2ZqC+hI/53P1ljXRC4jePwOv9tfv32f6fLKL64qr6wzN9EDgIvRd4O87LXFwoKS6pLymgBPuxaZPOleXkFJtbuThZW5wQ/HrpEkxeGwZk/8d6DjzHC/L7//a8uGBSqnSM8qTk4vsLc28nO3bWqRqT3W1tIo0Nsh0NshLjmrpLzWykwfAJLT89OzSrxHWDnZmnbnygxteBMeQgghzfAb767pJiCE0EBEyerrorcVfmVffent9rFZwpXkzJSskInBAaP/DXtqGqo7ic3mTQv87Y8YZvvXszefighmti9Gp9Y1NgNAYUlVbFIWAPzfF8fyiqpMjaR19U08LifIyz7Iy97z4SlAfN1tDPUkF6PvKidejU0/dPKGmbH08Kno0xcSOjqWISdIkiRNjaQA8OeVpN//jNXXFe/47s+M7OJuX6QhC3vPEEIIIYQQGiiaMk7WxX5JtdSozTWzN3nho+USgY62QEeRePbcWRNP7U7qNNSX2Foa3U7NsTYzqG9scbA2vhaXobZkQ1OLg42xr1vbbCUjHM1Jkra3NlEp9vyi8a9/8nOw97+TRv5y9ubGF2Zamupbmur/385jM8N91R57N7PI3FjvzMUER1tTZgjAkdPRG1+YqSfVrgppvHE709nOrJMnMhxgeIbQ8IXjoh6ClwMNNviaRag/9O87jTQdXU+0HLy7f+GMGSpZpXmVkTdqBESBu7dUkViYV3jq2G5DZ+Hk5SM7r3lBxMgvDpy3tTScNy24k2IvLp249/DF3YeItUvDvUd0OOGHRFtrQcTIb3+55O9hx6RU1jRamOgBgI2FYUurvKMD3RzNRziaj3A0P3sp8eCx6yufCisoqb51JwtYAACermq62h7XYPusxPAMIYQQQgihAYGwDiesw3f8dHb6eNU7u7QAnlwojzoRd/7nPzksLgvYHA7b2Fp31oYgbV1RlzWbGetqCXk3EzLXLAnPLaxgErkcTk1dk7mxnmL6OjdHiy82L0t7ULzjuz/2frICAGiaUlvhxNHukddTUu8XCPl8AJCIhFl55Q42xqUVdRLttvZ0dCwAWJkZXL99nznjmEAXOyujLp/CMIHhGULD2GD7PQkh9BB8CyM0zPAEvIkLRk1cMKpnh69bPkUmJ5VTPF0sDx67NjPcd+eBv0L8nQBg/9EoB2uT5laZQMAFAFd78z0/X3SyNVOel1+5whVv7VsQEQwAT0zy++bwxblTA89fTV44I7ijY/OKKu+k5VXVNJ6+ED91rBcALJw5cvu+c8/OG1teVe/pYmlpqt+zZzdkYHimqrGp9UbCfcXCeQihYQK/6CKEEGpvCPzr4Otua6SvAwB6UjGToqsjCgt2BYA5UwL1pNoV1fVb31pQWdMAAGMCXNKziyVirS3rFwCAi73Z0idCsvPLPJwt2WyWcm0AYGas++5Ls8RaQgCYPt7H3ET/fk7J/GlBIxzNOzo2JaPgzr08sRZ/zeJwJztTAAjxczLSl9y5l29qJNXTEff60x90f8FuhGeD7jn1yDNvfvPD9ucBoKGpNfJqSl+FZ8PjYiKEEEIIoQHCz91WJUUqETGLnrFYrAmj3JhEZnihk50pEzUp+HvYKW4wa1/baH9nxbaPm7XKAmjtj23fGABwsjXFKfUVurEsdT+0QkljU+vd+wUESRWVVYcGuBIkeevOA1ND6Sg/J5KkMrJL7mYWWJjoj/R1ZEqSFF1QUh3i72hurKdSgKntcsw9oYAnlYgcrI31pOLGptZLN+9xOOyJo9143LanfzMhs7C0+uDxa2FBrkIBnwa4mfCgoKSKqZapp/1RPYDRGUJDz7bn92q6CWgQ2/DNc5puAkIIAUXRP528PmdygLZYyKScvpAwY4KPYiXrxxR1K83LxUrRfYc6MeAGNzY0tW7afvTVZ6ewWOzl678JD3EP9LY/fPpmfVOrk43JrTuZlmYGv5yNqa5t9POw27T96LrlU3g89pufHNm/dVVxWY1ygUljPN/admRamHdTs+y/u0/v/fhZsUjw9vajE0e7l5bXfrDr5IevzWVOamNhCABBXvZ6UnFzizw+NWe0v5OiWjabpfYohBBibPr2BU03AQ1K/129R9NNQAh1ZXj8uE5S5MFj1yqqG15fMZVJORkZHzHep5eiM4iKSbMy1dNMeDbY/oIaCM8aapoEIn4nC+f5udvOmOALAFdj0+dHBNmYGwp43Ou3MyaHejC9rmItwZVbaX4edn7utjPDfQEgNik7t7DCxd5MuYCeVNvcWC9ivA8A3EzMBICYxAd6UlGQtwMAvPHJITlB8rgcADAz1rUw0XN1MAeA5ha5j5v17En+imrLKuvUHoUQQgx60H32I4QQQg+ztzYpKq1KySj0cLZQJKodvKZ2mBuoG27GpGgJea2yDqfaRyr6KTyTy4jj31woyCjjcQQikZhNsiiKYgvoaatHmdoYqhRWROl6UjFJkACgqyOSE2RDY8uug3/zeZza+mYBn6tSUk5QKgVKK2sUc3QK+DwAqK5tzC+uPH81CQAmj/HsqLuWw2IrV9vNoxBCgxv9GCEWRmeoxx7nhYcQQr2HxaJffXbqx1+f2vX+01xO25fhvKLK9oPX1A5zGxfsqjLcjCCpDVuPTB/n3dQsi0l8sHL+WM0+wcGiP8Kz0rzK/739c8AM/8kjvSUCHYlAR8KXSgQ6XJJ/cN8Pxl6FoXO9u1PPhRupLvZmc6YEJN7NW7/l8KoF4zsvEBY84nZyMpNFkhQAmJvoWZkZPP1kaPvKqY7/gezkKIQQgqHVe0YQ8mP7v+qy2KylzwlFeAsBQmjoGzqf791gaaof4ud89NytRTPbFrm2szJqP3hN7TA3LQFPZbjZ7eQcC5OHBrJpxKD7C/ZHePa/zT+PWhaoq62XczfP2dWpJONBWuz90LDRI4NHvfnmhv3ffpdzt9DWzaLLeuytjb89ctlQT3v/0SgXezWzu6gUCPK233806uTft0UiwfXbGc/MGe3nYfvDsauHT0e72JuVVdYxiy0wrMwMzl9N9h5hzQLVzrFOjlIrJaMgJaNAbdbB8/u9HX29HXy7fLIIocFk0H32d0zW3NLc2Dhn+UvM7oEd/xk5fuoI32DlMn/8+n1DXa1QC8MzhBAaahbOCH7lgx/HBbsyu50PXlMe5tZ+uFn7gWyoO/p8Yv2slHxtSzGXxwGAnNQ8a2vrjKTM5sZmiVTCFHhh9Yvvf77e9r228ExbJJg4pm1S+7BgVz2pNgAY6ktCA1w8XaxWPhWWmVvywWvz8ooqlUuO9nMyMZAYGegoF+DzuDveWRIVc0/I5wX7OPD5PDaLtX3T4qiYe/lFle7OlsrtXL96+tXY9Lr6JgsTfZVqOzlKrfiUnMT48tzyotqmepWs/x3fuTriBW97DM8QGlKGUHQGNACXJxBqtX1EX/njGIvF8g2ZqFyGxxfS7Z51U33zX4euVpfVcflcIwv9qctUB7GkRGfU1zSOmvZoH4A9OwohhFDP8LictUsnfnnwb5qmoRuD1xTaDzcz0JWoDGRD3dHnvWetzTKugK2SOOeZ2dYWbcuH8/l8Smn5crFIoFhzjFmQAQAM9SShARIA8B5h7T3CGgCszQ0AQFGSmUa/fQFdHREzycfPp6ONDXQAQMDnTh7j2b6delLxrIl+zHb7ajs6qiMz/Se8Mm3Z3shfPjtzoKaxrvsHIoQGpaFy+9CBz/7T2tJcX1u9872X127+AgBYbDZF0oScVC5GkRTQtMqzvnL8lrWL+RPPTwIAWYtc3TWh2x/VDT07Cg1HFEXV1tYqdnV1ddvfLt7Q0EA//HKSSCT90Tg0eA2/jx8PZ0tjfUnsnQfQjcFrCu2HmwV6qQ5k669n8LDB9hfs83XPnH1tf/ryNIQCANi6W189fcPOwVZLpKUo8Pvx3zzG2zzeSTr069kYEyNpXmGll4s1n9ev01RKhOI3Zqx4buIClSCt/U/OCGkKjV95lTzOtRgyF5IgyDnPbASA3w58SsgJAACapiiqbfsfJEVBu4ipoabJydeOSeQJeExIdeVEbHFOKUVSkxePARpSou8XZJZUFteGPRnoGuAANH3pWExpbkVri2zcnGAbVwt1KdD+XEPJ473whu516ZHS0lJLS0uxtoQFQJLEyFEhJ08cF4sfGoWrq6srFGoxF54GaGpsbG1t5fP5GmoyQgMFh82ZOcFPsfvcwvEGetosFnQyeE1lmFv74WYC/r8D2bZtXMgURl3q84iFw+UsXDv9+HcXwxaG2rpZe/p6SAQ6Qn7bgnenTp7MKE2cs7DDftLH5O9hl5yeb2dlNNrfqY9O0bmOgjSE0NAyRL4l27m4nzz0Rf6DjBE+wQRBAgANQFE0s61AUVT735oCJ3n++eMVaxdzr1BXcztjAMhIyCIJYuFrETQNLKBL88pEEuG8l6bWVzcc+vSMa4B96q37pJxY+HpEbUX9z9tPP/fRgrTbWSop/5xliFxh1Nf09A22fPurgM/jcbn7vvhk48ZNu3Z9qVLmRmKGnKRaWmXNrbJpIapDYxITC3V1tWxt9XulPceO3fH0NHdyMuqV2hDqO2w2a8YEH8WuWCRQDFPsaPBa+2Fu7YebKQayoe7rjw4lz5HOJpYGhz//Q95C2TjYGuobcSl+UV5hTW2V31SnOUv7KjYDAAcbYwcb476rv5uYIG3eyKlTP14JAPEZcfEZsYpcP+dAP+cAxW7nuQihAWjI9GFY2Ng3N9WX5GebWduTzIBGGmiKIh8e3EiTdPvxhlbO5s++N+9uTGbkkRvauqLZqydmpxZ4hrgwxWhg0QB27lY0Ddq62lwem6YhL61oRKAjTYOOgUSiJ64qrWufwkSBQ+YKo37A5XK4HA6fx1v18voXFs+sqqoSiUSKXA6HG339ik/gKIIkCZJoH/knJhbY2Oj3VnhmaakrlQp7pSqE0DDRT+P9jC0N1n22lCTIvPTiqtJaLTHtOzdAWyrq+shH19jUeiPhviKy79Ojuqm+pVG59yw+I3bf2T2K3FUAD4dnneUihPoKBgAA186fHD9j8QivkLNHvhvhxdwkQFOUunvP1OHyuF6hrl6jXX7adqqsoFLeSqgtBgDMHUEURSuGTXL5PA6X0z6lF57VAIcvvN7G5XC4XA6XyxHr6/sFjiqobHA0sVfkLnju1bdee/Hgb+dEEilBkp3Uo5CaWpyRUe7lZe7gYAgA1dVNSUlFNTXNY8bY6+uLb97MsbXVv30738vLvLCw1tJSNzGxQEdHa8wYBxYLKIpmXu03b+aoZAFAampJZmaZl5dFYWFtaKh9581AmoLv0cFu0P0F+/V2LA6XY+duaefe9eSHj6OhqTXyasqjBlo9O6pLKoEZw885cJVSGT/nQHh4t5NchNAANGRuAZLJZPE3rhIyWX1tLROSEXJ5bVX5g3tJAMDhci1tXQCApJjes4eedW1FvdRAG1is1mZZY12TSKJlbGWQHp9tZmcMTPcXDUDTiqNomjazM06Pz7b3tG5qaG6sbdQxELdPKcpmUSQ5ZK4w6nMs4HI4ioezm0dxedX4iLnKRXLv37tyKXJixBMqo3bV+vvvtJiY3DFjHHbuvPzyy2FOTkYXLmTo6AjlcmL9+pN79y6Mjs7+7rvouXO9hULe+fP3iopqly0LOn/+XllZ/bx5PtHR2To6QiMj7fZZly7dv3Ilc/Jk108/vQAAGJ4NXPjxM9gNtr9gv4ZnvSi/uCohNUcsEozycxIJ+a0yIirmnkxOBnjZsYBFA9xMeFBQUhXi72hurAcALa3yyzH35HIyLMhVR6KlNqV3qQ3MGH7OAZ10iHWeixBCfWfB86+VFeWfPfzj9PlrmPCspro8+tKpuGt/AoBEarD94A0AoNX1nt2LzXyQlAcABEGOmRUo0RN7jx3x58Goo1/+wRfyxsxS87HmNdqlJLf8yI4zHC5n6tNhbDa7fYqVk1li1F0jCwNH776aRAoNJSxgcbkcLpfLhGdCgVAuk6mUMTQ1Ly4qJAiyO71nv/6a8Oab4Xp6WuPHO9+8mePkZDRvng8AEAR1/Xp2RUUjACxdGhgW5ggAEonwlVd83d1Nzcx0fvzxFlOS0T7rxImkDRsmWlhIjY0lhw7F9eZVQAgNZn2+7llfSL1fsPfw5UUzR1ZUN9AUTdP0ezt+Gx3grKXFLy2vNTXSjU/NGe3vxOOx3/zkyP6tq/g87qZPf50c6kGQ5Ksf/fT1h8v5XNWU3m3h6dsXv/rzp/brnrUZeJcUIfQ4hkzfjq6BMV+opSM1kOqbMh0L4TOfkctamVxtHT0mkaIoWqkfjBE81Sd46r9fRmma5vG5M1eFK1L0TKTwz7VavnkuTdMsNmvK0jHKh7RP0dYVLXpzJgyhi4z6WlvXGZfD5XKKiwoMTc1VChRkZ06cMo0gye70nhUV1cbF5TFjET08zADg0qX70dHZhobaJSV1cjkJAEZGbfPRsVjAlNTV1ZLLH/oVo31WTU2TubkUALhcNputugAAQmjYGpS9Z/UNrRJtgfcIay0hHwBup+ZYmhkoVi0rrajzcbNmZomJTcrOLayoq28y0pdMG+cNAMnpBdHxmdpafJUUN0eL3mqeu4ulTE64gZ5K+pEzN5+evMLL4dEWV43PiIu/H+vnhBOEINTX8Ns/AACLxUpLutnc3Mjsakt1lXNPH/kCAAqy06YvXqKBxg1N+MLrZczUIMwjITZaamhanPtAkdvc0pKRnLBuw2aC7FbvmauryejR9sozhRw5cnvPngUsFuvkyaTHaae2tiA7u8Le3pD5ueNxqkIIDSWDMjwL8rZPSstbvmFvqL/LmqXhhcVVZsYPfYHgsNoWwtaTiuUEVVReY2fVNqetu5N5ZXVDXQNbJaUXm+fvbuvvbts+/ciZmy8+se5Ra4u/H7vv7J5VEThBCEID11D6ZiXU0t7209nulBxKzxoNJYqus7vJiS3NTW8sW6i8OPWaNWt2Hzoh0pa0tMo66j3Lzq5kplvU1dWaP993587Ly5YFVlQ0urubWVhIDQzEp06lPH5cPWOGx3ffRc+e7fXbb4lkB9PtIISGoT5flrovsNms5xaNf3b+2C27T1+Py5BoayWn53dS3kBXcjs5mdnOyisP8XeiaVBJ6fNGA8BjLj/aa61ACKnxWG8xjFRQT+FLp3fRNN3S1EjJZY218i3/t3Hb1q0LFy5ULvDiiy8KhaLKivIWmay1Vd6+Bh8fy7t3i9PSSgHA2lovNNTByEg7KanIxESiq6sFABs2TIyOztbWFnz4YYRUKhw1yk4xuFGxLRLxw8OdlVPaZ02b5mZiIikoqJk1y/PGjaw+vSzocQzYN6kgP4NfkNFRrszSudXKuT/bM2AN2L9gRwZl71ni3bz07CJ7K+OGxhYtIc/d2erA0St/XknSFgl1tLVMDKUq5YO87Q/8FnUy8raWUFBYWhXs40hRlEpKq4yoqGnIK6pkVtxDCKHuG3Qf/QgNSWw2myTky+dOYTrLXnnlFZXYDACMjY1fX70Q2pbjA11dPeW+NQDw8bHw8XnofgcHB0NmSn2Grq7WtGluit2RI23bb2tp8SZMcFZOaZ8FAH5+Vn5+VtevZzE3oaEBaqB+xPNzUnWuHlPscqW2RG2OYrduzBwMz9oM1L9gRwZleGZvbdTc0ppfXLV60XhHGxMA+PzdJVdj07kcjpujhYDPnTimbX780X5OJgYSPo/7+btLo2LSSIL8ZP0CLocNHLZKCleL/+KyiVl5ZRieoWFksH1g9S3s3UYagS+83mNiYlJdXd15maKiov5pTJeysyvj4vKsrfVPnkxav36ippuDBje2QGqyNLL4u0CqpYu3ABr4BmV4pqOtNcrvoeGIBnraT0z2V+wqli8b6euoOGRm+ENzcrRPUXvDmMb5OgWuigBfJ1z9DKGBi8avyQihR2RiIrGw0C0trXvjjXDF8EiEekYnaB1XaqsT+HLN1Q803Rb0uAblxPqD2KNfTD+nAD+ngJ4dOwx9/32MjY3++PFt0ftHH51fuNDP0dGo+zXk5lb9+GPsu+9O6XEbMjLKaBpcXIx7XEO/wddUr8FLiTQBX3eDmkjEDwmx03Qr0FDAFkglgS8DgCRoXV3sLuxAG+wGZe8ZQgNZRkYZSdKDIjxDvQV7zxBCCGmKTtA6tlAPANgCKXagDQEYnqFhobKy8fPPL9XXtxoZaW/YMJHP5xw+fDslpaiwsHbq1BELF/pXVTV9+eXl5mZ5c7NcX18EAFu3Rra2yhsbZQ0NrTNmeMTE5BYUVE+ePOKpp3xVjr1y5cHly/ebmmReXuYzZnjs3n0NAHJzq155Jaz9eT///JJYzE9KKlqxYqSfn5WmLwzqJRidIYQQ0gRF1xkDO9CGAAzP0FBz+HDcH3+kMtt5edUAfgCwd++NefN8fHwsv/8+JjIyffp0t1mzPBYt8icIauXKQxERHgcO3AwPdxkzxuHs2dQ//rgLACRJ+flZzZjhcfZs6rlzd7/8cp5cTi5f/tPMmR4qx/74460dO+ZIJALmpGvWhJIkPXu2p9rzAkB1dfNXX83XzNVRhVFFL8ELiTo11VXUUdY52zUAcDFHzQzv3YCvPIT63ABfOUXRdcbADrT2BvhfsL1Bue7Z4NWDixl/Py4hI9bXObDtDjTUlUWLApTvPWM2rl17wONxLl26X1HRwKz+yWazL17MKCioaWqS19Y2p6WVrl07FgA8PMwSEgoAQEuLZ29vCABubqYJCQUsFvD5HHt7g5qaZl1dLeVj/f2ttmz5a8YMj5Ej7R6en1nNeQFgxgyPfroWqL/g4EbUpdqxY1nGxmwjI+a/ig2WsTHHGMdCI4RUTVy2pfMCa43KX7F4qOuMwXSgHTx+7X970/usdagPYe/ZQJeQEfvduT0rATA8exzm5tKXXx4rEPz7gv/44/MREe5z53rfuJENAHI5SRCk2ncEm81S2VY59oUXQhMTC06dSomJyX311XGdnxcAVEI4NEDQj/PzGkZn6PE81ssPITTkXN15p8syorgPuIVnf/x2aW1FBgBIDZ2fDAhjsrh69is8IhYGvNe3rUR9A8Mz1K9OnTp14PsfAIDFAqlU+p//+z9ra2vlAjExMV9/vZsGT9DCVAAAIABJREFU+p/+CHpkcPDatWsf87ze3hbnzt198kkvAKAoms1mlZc3+Ptbsdns/PxqAHBxMb5xI3vyZNfMzIrq6qbOa1M5trGx1cfHcsQI0+eeOwwAYjE/P7+mo/M+5hNBAxP2niGEEOpnhOnoGrKl6sYvc7RyAeBYGVVY492WZxpOmI7WZOPQY8CJ9fvXsF9+ND09PbugZNS4yTwup7QoLzR0THJyklQqVRTIzs5OSk6Zt+hpOUHKCCIlKeHCxYuPH54980zQzp1R8fH5HA572bJABwfDWbM833zzhEjEt7XVB4AVK0bt2HExKipTX1+kp9fhXSIMlWN37bpSU9MsEvEWLfIHgKAg28jI8//9719vvTWp/Xkf84mgAWpIvD0RQggNIjLLcJlleGrsnaKKZj6Xb+y1uCn4Q003CvUC7D1D/c3M0nrk2HABnyfg8xrrat99d/Nrr72qyC0rKzMwNI54Yn6zTNbSKgMWOy3+RvcrX748WHlXsXyZRCJUWcosIsI9IsJdOWXr1tnKu6+9Np7ZsLHRVxz7wQcR7Y/duHGS8oFiMf/jj2d2dF5FtWgowegM9VhyWrmT04wbZxN6cGz0uZ4cNVQdOhSn6SZoXnJykaabMBQN7I/4e7RpQrmRr2PAl9M+HOBNRd2E4dlA5+sUuHI6+DoFarohvYbNZnG5HC6Hw+Vw5i9d+fLy+cdOnFTkEgRRX1f70w/7Zs9fQhAkSeENGX0JL25vwdcp6qnktAonp4joc/E9OBbDM2U//4zhGeoTg+XzfbC0E3UJw7OBzs8pYIhNCsJmsbkcDpfL4XI5Vja2WmLx+i17DE3NFQXKivI/XLd8+hNPESRJUqQGm4pQN+E/iqjHPF0NP7h/9ul1mx/1wOhz8aOm+fZFkwaj6D8SFi8eUv9WPg4vL/OuCyGEBioMz1B/Y7NYTNcZ89A3MKyvq1EOz4zNrQRCrfy8XH1jE4qiNNhUhLoLe89QT3m6Gt2/fyYk4tijHhh9Ln7UdAzP2kT/kbBkCYZnCKGhgK3pBqBhh8VmM11nzBDH2ppqbR2pcgGaphsb6oQiMUGQirXClHIhObkoObkoLa20oaG1HxsOTU2ymJgcAJDLyezsys6zFClqi6EhhqbxgY8OHzJCpulXKEJoyBrBKllrVD6CVaLphqBe07fLUne5oN5wgz+wA3PvWVvXGVfW2lxdVUmSZFlxgaJAbmaanoGRSKzdIpORFEU/fNkIgvzww/PTp7vV1jbHx+evXh0SGurQPy2vrW1JSCgIDratrm7aty/6449ndJKlSAGA7dsvvPlmuHKx/mlwl/AF+RC8HKgPtBKtHxx+hedrJr1ypbNyPXr54WsWIeTGLp1rWPY7VarphqBe04eDG69/1fWCeqhL8ffjEu/H+jgF9uwOND/dDhfaYrHWgCbWQmWz/p0a5O8zZ01MzXa994oit6WlRSaXv/3RZwRJEgRJkVT7LyBSqZCZoTElpXjPnmuK8KygoIbDYZuZ6ShK5uVVa2vz9fXFcjlZVdUkFvPLyxusrfU4nLZ+49LSepmMsLTUY7GAKSMS8cvK6m1s9LlctkolhobiKVNGKCpvbGytqGi0ttZjsVgqWQCgSCksrL106f6UKSOsrfVUinXS4B5f3u5g/bMw9rlza9QW+PtBv3ZLDgG4pjBSi6SI7cfevl+UajHaZ+ve21oC1bf2no0/v/HVSo20DSHUXQP8A57+578DvJ2o23Dds4EuMSP2uz/2rJwGfo49HFXfyRdHxdf0/sRit00NIpO1fL/3q59+PDh27FhF7pEjR/Z9/5Orh0+LTEaQJNnpvWdGRtqKhZ4//fQCSVI1Nc1eXuaLFwcUF9dt2xbp7m5aWdm0YsVImqZXrfo5NNSex+MWFtZs3Tqby2V/9dWVlhZ5SwtBUdTmzdOqq5tWrDg0bpwTQZAVFY2ffvpEaWm9SiWKTrPExIKvvrpKUVRDg+yjjyLa96cpUoqLawEgPb1UV1ertZVQFOu8wUZG2n1x8RUG2qtiIMCPOtS7aJr+9vynd7JjJFrSjfM/bR+btRXr52YhhBAa2HBqkGFh27ZtMpls/fr1AoFA022BW9cuV5eXstmsvJzsJ5+YrRybMVLuxG//z1sURVEUXV5W4u7qrFKgrKw+Obno7t2S69ezZs70AIA7dwopit64cRJN088+e2jRIv/09FInJ6NVq0IUhzg6Gr311iQA2LLl7xs3skxNdUpL6z/8MAIANm48lZCQb2mp6+BguH59OACsX38iN7cqN7dKpRLlZrz11kQA2Lz5bExMrr29QUfPNyDA2txcOm+er3INXTa4HwyoV8XA0PPvydh7htqLSb98KfmckK+1cd6nZrqWHb9I8MWD0IA2WN6ig6WdqEsYng0LS5Ys2bRpk4eHx86dO6dPn67BlsyaNcvW1pbZlkgkU6dOVSkwevToL3d+oZxiZWWlUoYgqOTkomvXslpa5JMmuQJAQUFNYmLB559fAgArKz25nAwOtj15MnnDhpOzZnmGhtoDgEjEZw739DQvLKxtbJR5eJgxKf7+Vnl51ZaWuhKJkEmxtNRtbpa3r0TBx8dS+dhOwjO1utPgvjZwXhUIDUlBzmFPjnraxdzDwdRV021BCA1ZdymT4mrjaqnJGE23BPUWDM8GuuKqIpWUXy4dupZ0UbEb6jVhwfglHeVyXI0AwMLC4uDBgxcvXnzppZd27969a9cuJkYyMHA+dKj/1/G0Y/5XWQkdnP2h4CQrC7Ky/i1GkpREIqRpCAmxP3s25auvrujpifLzq42NJcbGEgAwNpYcPZoIAAEB1pWVjXv2XIuLyxWJ+FlZFczpkpKKtLR4PB67pKSOICgAiI/P19MTlZXVl5TUMWUePKik6TQjI22VSpgCjY2tRUU1TMk7dwrFYn5NTZMiS2UDAOrrW5kNRWKXDTYykvT6dVcwMHCGjl8V/8/efcc1dfV/AP9mkrACBMKQjSxZIqA4cO9dtWodbbXVDrtbra2tXY/+qn1aq922trb1aWuH1jqr1j2wguJGRBCUvVcCmb8/rl5jQDQQSAif9yu9vePcc09OcsP9es49NzGA43J+GZtYIeuvkN3+zRcXHxYXH2q8vpND4xk0hTO17+OErwcAtKVLOo/TJW6xjh7mLgiYDMIzS1dYlm8vdrAT3x494sjZfacy74hq9MMzg618n9tX+YMHD05OTu7Tp09CQkJycnJQUJCLS8hPP7V/eGYCbLF37rzIrszMLGky8Z49lw32YmVllRmsYdNcvXpHbo0zaZxb401NJmbn71ngNuLicru/aONvRWIgR6oXnpVFkkLWj10UFx9ithqs7+xwAQ7mgS8eAIC1QXhm6TykXqcyU+oU1eyaftGD9RM0v5icspWdZ9pJgoKCtm3bxrSTlJdnzJjxVlsUu+1otboTJ7J79w4kIp2OjhzJjI/3FYuF1dX1Fy8WaDRaDw/HoCC3igp5dnZZbW2DTOYQEiJTKJSHD191d3esq1OGhroxbVOlpbXp6UVcLrdbNw8nJ3F9vfrSpcLYWG8iunSpyMvLUavV6WeiVGqYBPX16vPn83U6nVKpDg11d3W119/33Ll8IgoOlrFriotrr1wp9vNzcXW1Z1c2X2B2yJO28Pzzq9j5xt+K5Cxd2XNvsAkMmsgUsiSFrJ+4+EjbFa8jwjUyMG6UZl8vze4dNvjeSQGgo+goP/EdpZxwL2373DNoPQ8XL7pzuNSpg2ZO1Wsuozs/I4OtcW9ziCgvL++11147fvy4wV1GZWUZM2e2cEBIM5o9O4GdnzXrvspfXFyTk1OhP7JiZzZrVgbd/VuRnK0rj3j9jh30vmEKtyS5bMDN8MzKfh1a83ZM0Xo246OBrc8E2sFPLx1ocn15Tcn7mxZW1JbaCGx6BN73MD+t+uK1Yt8OQiGv/evHL9nFhP7DA8OjDdL8/OXKzMyUZctu94Z47bXXuFxuOxURAMCkMLB+x9GKD+J///tfSEjI119/jTH6gNXib4XCLaksconCDTee3Waqn8m9Py42UU7QVobOfr/Jj1vRULdi8+LympIw75hIv3j85TQVRW3tD5+8F9zLT8AXcDm8jV9/sOybreHde+qnWb/qnYmPjDmZeVylUqnUqr2/HVi4cKFQKDRXmQHaUzinsI9bSQWn0NwFAZNpw86N/Z6LabvMO6gja8zzqO5FixaZ5biWQyjkGzu4otVr8bdCIUvCoCCGcDHeqTT6uNUa1cdbl14vveot9Xtp3H8EXCG+EiZkI7LpNa6HWCwWi2wDI/w/fvOpL7ec5NzROKab8sTEemV9nbxOLq/b/8fhlh3oUt7Vt3/7dOMLq+6d9E6pWRe0Om1CUFTzybafOrDyr28cRHZvTnm6V9eWXCPd54HAtCz8bA7nFk1xLb6kTbM99a7KY4DSawC7SZh/UFB4kF3E1rbearC+xdr23jP8S7C+obPfb8FesV0T5o6i2K4J9056F532KcP6nJzEjz3W29ylsCD4VjTWui5mFv7nG0yp8cetJa2DWOJsL134wApbkb1R3wd8de6NwxEIBAKBUCgQxvSLPPTHieEhtgZJPn7js7mLZ6lUSqVK2f4FTMk6p9Zo7hk1vfP7Zwff3nCjvPDd3z/t9UxLwrP7PBB0QuHcIkp9tzZuqX54ICg8aJ/6LruIrW291WB9i2FoEEsXGxwfG9zy28NSy5v+0//mrC+3b3+yxdlCh8Y8HnfMmC9fXDPH3GWxFrjE7lQafdwCrvDpkUvKa0ul9jJ8GdoCE5sJBAIhXxjZK7RmnEvkjCB2q1at2z73WHraFY9AmUqlbP6EzK8ofmLt0vK6Kh+px/qn3xcJbAorS5/65u26Bnltvdxd4kpEkz969oNZiwJlPrvSDu+7kLxy5sLKuurn1v+nqLJMwONvWfTFii1fH72cmlmYO2fQpHmDp774/f8R0YUbmZ8/9lbj/NlD60jH43I3Htse5RuqX6RHPnu1rkFRraitqKt+cuj07acPZORfe2TgAwvHPbZ881d3O1DjQj6xdqmjrf2hSynLpr/Qzbvr3YoBVuaS1v3TCpmHs9fInuNVHnfEBiqPAbVxS/UXsbWNtqo8+wsKDpGJIDwD6LxwGQlgKhwOV+oga+eDdoZTmHmPQoFQwBcwEZpU5lJy5xNBuXyOVx9pxtkrUh8npVrVfLUs2vDBi2MfHRyRuPTX1RsO//X44Aff+GXVrKTxk3sNX7t347r9fzS519u/fzq196ixPQapNRoel7tgxIzXH3hCqVZFvDzmiSHTVj3ymlqjWTBiZpP5s5lIxPZOc+LXPbn8ob5j9DNXadTDovs8MXT62r0bv9736/H3NjaolSHPj3hy2PRmDtSk4qqyE8t+JaJZnyy8WzHAaJZ9pl3UeaSVuHV3jEmKXUp0R2mVngOUnnc25mBr22xt8BwoKDh0x1B+rYDwDACMIy4+bFtyWO6GO9Bu0+G5Z50J+3HL62tsRW34BHlgcDgcgeBmbCYUCJUNKr7YcFRGrVpHfFKplKp7dW7c9O9uG4Fg49EdN8oL1RoNEZ3IPLt6zhtElBQe/8/55Cb3Onzp5KqHXyMiPo9HRDwu76ej264UXKtR1JbUVDSfP2NLyj8SO4euHr6ezm5EtPP0ocTgGGd7CRE5iOyifcOIqE9o7D/nkzkcjkhgE+MXVlJdLnOU3u1ATXpi2PTmiwEAbUHlOaC2x1KVQQjXUgjPAMA4tiWHpeeXUeQSqwvPWhFiITrrVHRERBeun1q9benjQxf2DG7l32N8e+6Njc0EAkFxXqlDwh33nmk1usKU8sSH+yjVKqVK1XxWQe6+n8xdaisUsWsa1EqVWkU2Yv1kGq1Wf7G2XqG/+NDql+YNmfrC6Ee2nPzH4F9nGufP+P7g5g9nLxYLReNXPvXqhHkfbf9u/9IfDNLwuDx2nnkwQDMHalxIIuIQp/liAEBbaKJ5rRXwVBBLd/pKyrc7vzh9JcXcBQGwdrqWvoh0pGv9y9zvH+6XjnRZxekfb39ToZJfK7nS2g+9FV+8zuNmbMYXkJZz9tj5Q/9J+y5pG/v6fuB2T08PzyD3+2k9GxjR85t/fmPmmfAmIShqS8o+IjqVfbG4qoyI3B2lxzNOE1Fq9gWm6SncO2jH6YN0q+30elnBsOi+YqEoPT+Lw+E4ih1KbzVtNc6fIXOUHrz4r4eT67on/zP704VxARFCvuCeb7yZAzUuZPNvE1qsxedo+7w6Sjnx0n817z4eS33PPOC+taAyT185+e2uL+eOpO5dO97zowE6i/b9nbxwIvP0gfS6ygYuhyPzcY4b1s27q3u7lqBzK64s+PCvJfVKRe/QIVMS57bzp98JcYgj5N9sPdv726HuvQe99fnv+glGhthOWTBB0aBQqu7devbOg88+ve6dveeO8Xm8pZMXdPcPX/7QS/O+euO34zs9nFzdnaRE9Oyoh2euefnXYzuJKNjTn4hWzHhlwbp31u3/3VYo/uGZFQtGzBzy3iMOIrsIn2AiGhM7YMPhLTM/eeWHBSsb588c941JT8354rXvD/4psXP4/aU16/b/XiWvkdjeo3NsMwdqXMjm3+Z91jYAmB06NwIAtFa7XZ+fO57x59p9/hEB3fskeLh6ONhIFOX1qdtPbb16dPLCgTIfl/YqSKf2W/I31fKKSN/4eUMXEYeD6Kyt1SsUu3/az+fzdRpKPXBuzR/HGqfZ/dN+jU6tUqlUKpVW01xjkYu90y/P3/FkMz9Xr91LvtVfE94l8NSKzfprQr0C9r65nl2cN2TqvCFT9RNsX7z2bvkzvKUee974jl0cHTuAnf9q/ru3jhvEPnVty8LPiShwiM/dDtS4kGw+zRQDWqKjnOQdpZxwLwjPADqxFv2Uy12TKGKJ3DUJfwlua103g4yC81cKzhPRL9uaGJYgMsQ7MsSbiFL2X9i9+fjguf0dbBztbG7eeyPzlE2dMdWGxP95793xr/Zy69KSCK2qRn76Qs7ARNP/+/r1gvIr1woH9+7GLO49eiEyxNvDTUJEdfKGo6euVFbXdQ/3DQnwbEHmbVdsIjqfceN8xo0mN3Vx8e8VPHDu4Jd5HJ6Ze5h0gnNQbGc/65k32MUZP62RefoYvPFHX3z7yNaUhx/uySxOHUx8Pi5vAKD9CAsOCgsPKj1Mcwcafr8AwDgKmXWO2diaC91WXiRfuH7qz39/IKJvNh7QXy+xdfBz81Iq1Ux4tm3D/sQZ8URUkFVUlnslNDzkz6+/GjZ2yMQHJghthMvfXfnOh4tnvTeiBQWorJbvT77Ugjhny95UjUY3acRdu17bioRfbzzAhGf1Dar3v9w6e2KfRyb3J6LTF3Ny80ojQ3wkDnYtKHNrin0/Tp2/lnaqJKckv0peY7BpU/L6iT0fthGITRIcdYIIq1XEtvbT5r/SfJrpTy4qvPTdkiV4mCcAmIew8KD9qXdreyxFeNYpdA9OmEvUPTjB3AUBq4QrQxNpZRNKo90dRHbzh057eeycz3b/dF13jojUKo2W18RRHCWOzIxYLBJx7xHnnLt8/XJWYUy4T7C/B7smI7vQyfFmW9y+4xd7Rgfa24luFFYUllTGRwUQ0ZVrhWfTc309pXHRgZXVdWkXcyur5QN6honFwu83HdFotDweZ8LQuCbzlzrb29vaFBRXesqcTl+4NnV0r+QzWTfDsws5/RJCFPVKLofqG1S/7jjB7CIU8KePTSyvqmUPJHW2P3bqSoC328mzWTHdfP28XA2KXa9Unb2Ue6OwIiK4S2hgSxrimjQubvBzo2av3bvxw23fVdZV37GNGdrD/CyhDAAAYEoYudHSxXaNnzPqqViMCwJgwVo5aKM+B5Hdy2PnXv5413vTnneyc2TX8wU8jt4NNacPnr16PqvvsMSEfnG3yqBTqOTNFHLXobN/7Drp4mT30bpdGdkFRPTPsQsbtye7u0r+t+XYjcJyItp3/EJ1nYKI8grLT57NIqLk01e/33TEU+acdaOEy+HsOXK+QalWqtQv/GcDl8PpGR3YMzowKsS7yfwZCVGBaZdyiejEmazhSZE2An5JeQ0RXbyaFxnS5WhKRlFZDZ/PY7Kqb1Dl3CglIv0DaTTaoykZr32wkcfj2toIGxf77Y835eaXe7hJqmuaq4EWuNvHQa3+0C0lvgMAAAtjba1nhaVVuw6cfXSKYc+rlV9tG5QYnhATZJZSAViTc9dOXbiWau5SmNg1cdovB9Qt3ff0lpO1rTl6aU0R6bWYGYQBrPi+kVknc2P6RnoGuj+1fK6D0NHBRsJu/eDDFX2mNtfN75etxxc/Oc5ZYl/ep+5YamZIgOfvu04ueXq8t4eLu6vjD5uPNr3XtmPvvDBZ4mBLFExE08YkEpFaoz2ScrmyWh7e1Uuj0QX6ujeZP5NDXHTA3sPnRw2Izskr9fd269Mj+ETa1T49gp0c7QS3bhDi87hhQV6KemXa93tWvjrN4EBMOPfwpCSmk2TjYtfK64P8ZLHd/IyodGMwQdr8odPYlrTSmqItJw0fWtUC18SXWvPF++XAPUYp7DyuidOWbUK824YOXeq8D/jpKF+sjlJOq6S7NTXJp3Af4VmH+rQbGlTZN0oar390SlKLb28wpQ5VmQBNunxh888pu81dClMTU/aBll58iCn7ZKsuXMK8ov1cvXYtWefn6tVMsnFzBm35Zt/hn4/3HJ5gH3A7MDufdn7bX1sTp4YFdfdpZvcbhRX/nsliHlobFeZNRJVVdV3cnYlIKOBzOZwm9yqrrJM43H4E8D/HLhxJyZBJHfOLK1XqOx611Dh/RnSo9yfrd+fkl/p1kRJRn7jgL3/6RywSxEf6Gxxr/R9HZozvbW8navJAMunNt9y42E/PGrr2531f/E+9YNaQmHDfZiqhNZggbUriyJHLHiutLjySboqzoJVfvIOd94rZkJiWbUZtQNuw8Is300YGcN96e97+u5kYwEkM5CR/83Zy9lvsyuMFLfxI7uO5Zy3LuI0dP3UlOe1qZbV83JDY+KgAjUb7y7bky1kF7q4SIsrKLTqckvHIpCQi2n3kvNTZ/kp2YWL3IH9vt5y8sr8Pn80rrOgbFzw8KUqt0f6y7Xj61YK4SP8Hhrd5B0LLrEwAowjkOUQU6+oaFjHR3GUxmeRdaYkjY1u67+nopFaNTlFaU3T08tmer01pvvWMiCY8PnhwRd3un45dOnqJq+PxeHwul7r26DLnw1EC4T1+z7t17ZKUEBrg48ausbcTZeWWBPnJNBoN87BdPo9XWS33kjmz/e74PG5ltZy9y2vDn0fXrZjH5XD+2HWS2UWn094tf4aAz/d0d96y51SvmCAi8vZwKSmvOZF2deaEvvrJruYUV1bX9YsPuduBmil2t65dPn5zdvrVgo/W7Vy7fG7z9dBiNfV1bOtZ39DICfExrc/z7OFLrfniJY7s3voyWIfkXWkzZuAugDaXFI474QFu0929kzrnLv/oeT86audGschm2the1TWKN1f9seGjp37+67iOdIvmj1nz/e4bBeW+Xdz2rflz9sR+XC5n9+GzS595YN/RC5EhPkS07PO/Fj4+ysvduVbeQETf/nrQ3k700txRa77/283Fkb0ysBynM1PSMk9275qA28/A5Fr27wUFdQoiIo4uwj8u0r8Hu/78tVPn9To9Rna8rboI/7gova0G3Tib3aoL8YoJ84pmt6bnn83IP8MuNr+V+Shq6us+3Pbt2r0bmw/SHJztJi8Y1uSm5k0fl/jfb3bMmdK/pLwmKtTb28NlwtAeX/28b9KIhN92nFCq1UQUFer9w6Yj44bErv5ud5+4YCIaOSD6v9/smDQiPjevbMKwHq7ODn/uTmX+IHE4nLBAry9/2hfs7xkd5tM4f/bQCVEBn2/YO2/aQGYxLjLg1+0nXn96PJtAq9N9tmHPQ2MTr2QXElGQn7vBgfTfSONif/vbwSBfd0WD0samTf6o6QdmzBpXB9n4+Fmtz7l695/TBz7asn0LN6+f1tJ9rU/h5vVLJmHkRgAwm6ysrMDAQJNk1VHDs+7dfIvLqurqlXZiYUl59aGT6R++PsPeTjRzQp9vfzvE53GjQn0uZub5ekn5PJ6jg5jd0c3F/tipjPFD49xdHYlo+4G0uQ/2TzmXJXVySL+ab4HhWVrmye92fTlnJCE8AwtRKK8jotMlZaHXUu8MdVJ/OfgNuzidqCNtFVP2wZSHiPQDsAvXUn/W2/euW8WUnZIyIZ70A7CM/DNbUjawi81v1d9kEKSR6fTpEezm4nDm0nUPN4mzox0RjR0c6+HmdL2g7IW5I7OuFxPRpBEJzhL70oqaFa9OK6usJaJpYxL9u1zNvl4c7O9JREsWTDiSkuFgJ3p/0TSJg9jH02XWxD7Z14sjQ7wb589KSgjlcjhikZBZHNk/2r+LKzPfNz7EXeqgVKq7d/O7lHVzQBF/H1eDAzHJmK2Ni50UH3o5u8DBTvz+wmkmrDFqKjADAAAwkJOT06tXr5SUFD8/E9wFbXHhWb28QafVie1FzSf77Me9RNS9my+Xy9XpSNGgsrez0U8woFfY8VOZ+UUV/RNC9dcvnDdm8+6UF97bMGlE/IRhcUTk4ynl8bjubhKZy107FAGAAQ9b20j/OP01kf5x0+9c7EBbT+xKSxzZPeLOrRH+cQ/dudjk1uRdaVH9wkI8Y/T7OIR4xoyPu2Oxma3M0CD6mCDtm32/+bl5de9h2F2wxYL9Pdgh7xnxUQHM6Pk+ni5ExOFw2EdIs90Ue3UP6kU3x1VycrQdO/iODnVxkQFxkQF3y5/h5uIwcfjtN+zrJfX1kjLzfXoEMzMPP9BPfxcnR77+gdhkTRY7OMAjOKCJ47bS1tR9n+7a0Pi5Z2Q54+oDAIAFePHFF2Uy2Ysvvrhp06bW52Yp4dmpAxcPbErh6Pj2tvZCgUhVr9SSKnZoSMLIiCbT/3vm6voP5nNSoDJaAAAgAElEQVQ4nLc+3qTT6TxcJecu3+gR4V9ZLW9QqogoNsJ/w5/HCksqn3/0joe0OjnazpnSf/LIhKeXrp8wLC4q1Eej1vSI8G+H9whgHbQCJ6IydydP/WYoIor072GwpgNtLdq8vnEfsyj/HlF335fdWrh5/fi4CUR3PL4s1DMq1DPqjh3uvvVi3mmJrfPOtF+nj01sfKCIUO/GK6GtRYR6K1XqbuRssP6Xbcmjuk/t6hGB+Aygk+gop3pHKaf12b1797lz51JTU3v27Lljx47Ro0cz61v8iZg/PNPpdJ+8+j+Rk92gGQMcRU4OQkd7G4mDjaOD0DH5wL/fLNoyZ/lYHp9nsFd0uO87azYzNyRwOJxHpyR9/O2uxNiu5y5fF9kIiIjP43q4STJzivR7NhLRax/86uEmaVCqu4f7EdFjDw74z2d/nr18o6yiZvzQuLAgkz3PFKADaNEvh9QtjPKvSt3CrOxPQWveTStrIrxLbHiX2J1pvz5+6+4sMLu4CP+4pv7l7pdtyZN6ziXTXQm1Kh/rOgcBLFRHOdE6Sjmti1KpfO6551avXu3o6LhmzZoFCxYMHjxYJBIRtfwTMX94tvGTnY5BjkHhgXVV8po8hZc7bf3z767BXSc8MH7YiGFRYVEbV3876eVBBnu9/Nio6wXltiLhUzMHSxzsfDxd1iydXVJRM2/6oOsFZUyax6cNZFrSiGj6uN4uTvZEtPyVB68XlNvb2bhI7IkowMft83fn5OaXurtKHO3FZArnM26cz7jR5Kb//fNtVEBsdKAR43R175owZyR174qxksBSyJw82SnchIaUTgUfNwAAEBHRypUru3XrxrSYDR8+PDIy8sMPP1yyZElr8jT/c88yLubET4khopry2orcaluBXXZGTmz8zQAmOCREvbHpQjK3HLAc7MUO9mIi8vO6ece5m4tD48QcDoe954FhI+Q3ebNEi506fy3tVElOSX7jOxa+2rp6zognowOMCM9ig+Jjg+KJ8I8iAG2sFacYzs5OxcQfN749AJbtP49/ae4iNCfHIZ8ElHM538LLaa2EQuGqVavYxY8//njjxo3MfIs/EfO3nnEa/WnqMzQxod/tm8j5PEH7lsgExsUNfm7UbIz3BdBZ4Aq7U8HHDdBpbN9u6Q9sGLns5KH0/Kgor+1LLL2oVobDeYqIFi1axCyeO5d/9mw+EY0adfOxKy3+8pj/sdRSqVNtmdzB09HBxT4jOdvRrigwpCu7taKiok5X2cZFaBMOIruXx86dP3Ra4yANf9mhQxPU5bJTYOhwWncm+LgBAIDufCxncPDY4OAxRPTOO9uvXNnWmmy5rS1Xqz32xpRLuzJKcsvsnezGzhnRc3Ccf7Avsyn3Ws4b7y5+4JX+5i1hazBB2uWPd7037fm7PWQWoGMpLUlnp3CTzhQv6ChM8nHjQwcA6Mh0d/rjj6+ioryI6K233mLWtDhn83dutBELl6x94vfPdv99ZK/M0927i4+tyKGiqLwgL9/F23beqnFC0V07N6779YC/t9uQPjcH33/r402zJvRpi6fftBITpE1JHDly2WPsytOZKWcyT7KLMV0T9B883fxWADNiHkvNTIGB5pROBR83AAAYiIryioryOncuv/VZmT88IyK+gDf9hVFEVHy9rDCnVKdrCOzn63nnE2A7tJr6usZdHM9knvzu79u3DM4h0g/Amt8KYCKtvMq0sotUjA0C98eCxgbBNw8AWkur1VZVVbGLTk5O+n32GLW1tQbNQQ4ODgRtwyLCM5bMRyrzkd473b38uPnoucvXbxRWjB4UPWtC3w/WbreztUm7dH3+9IH7j19k5kcNiEo5l73s5QeJaN2vB0MDPfvFh7T+0AaaDMwYMV0T5ty5eP9bAcCy4CK5U8HHDQBWpKioyNvb287egUOk0agTe/fZ8udmOzs7/TROTk4ikZj5+dMRyevqGhoahEKhmYps5cw/sH4r/bj56NZ/TjPzOfk3n3g2aUT87Af6qtSah1/+csKQHkRUUVW3dtkcItp//CIzr9Pptuw5pVSphQJ+2qWcmRP7mLZgzQRmTJXeHjH/zvWM5rcCmJFWICEq0wok5i6IibWuCcM05+fQ2e+bJB9oU6bt3IifdgAwO2cX6ftf/2ojFAj4/G8+Xr548WuffLLGIM2xtAyVRlvfoFQ0KEf1iWoyn7S0PCcnsb//zcdZHTp0NTLS08XFtnHK5ORrQUGubm72zZQqM7MkPb2oT5/AJnNo8aEtn2W1nrXA7Af66t97xsxwuZw9R8/fKCiXKxoqaxRENGHY7a6SzDyHw0mIDjxzMcfP21XqZC8SmnL4/q2p+z7dtaHxc88ALErLrgulbuGUnyV1C7e2y0pzdzH74tFWDfQE7ce0X310qgUAC8Dn8/g8nlAgePzZhU/OGFdeXm5rezu24fH4x48e6p7QW63RqDXqu/38pKXd8PNz0YuRMr28HJuMkY4fz3Z0FDUTnl24UPDXX+dGjAjncg17Wrby0Javw4dnTXp79eZxQ2Knju515GTGrZ6y+h/tzfmkhNCD/6YXllYnJYSa8OgRod5KlbobORus/2Vb8ozBcyMDjXgmNUDbatHFnUzieXOKa8NbMFYEmAe+dwBgInwej8/n8fk8OxeXHgm9b5TVdnUPZLdOm//Cqy8+/cPvO2wdJGqNpgX5X7hQkJFREh3tFRTkqr8+Ofman59Lamqui4tdnz4BzMqysrq33tohEgn8/Fx69PAhooyM4gsXCgMCpN27d2H28vd3SU29Hh3t5eNjeMmtr6JCfvZsfmWlIikp0MXFTn/HvLwqZt7Dw0Gp1PTuHUBE6elFfD63a1e3FrxHU7HO8Ky4rCohOpDL5eTklza+u5EVGer9zcYDpeU1i+aPMeHR4yL84yL8G6//ZVvyE2OfN+GBAMBS4CoZAAA6Lg7xeTz2FdItsqCkfNCYyfpJcq5cOrR/79AxE9Xq5sKznJzytLQ8Zr6yUsHM7NmTfuJETlJS0OrVB559dkBw8O3g59ixrO+/P/Hwwz0PHLiSnV02c2Y8EdnaCuPifEQiQVycLxEdPZq1b1/G0KGhv/56Ki+vcsyYiOPHs9etOz55coxIb4D3Jg/9zz8Zjo4ilUq9cOGWtWun6+/Izru42K9cuYcJzzZvPjN7ds/W1WZrmf+x1G1h0oiEF97bYCsSBvg0F/tyOZxAX7e8wgo7W5v2KVhHrEwAuCec2gAA0HFxiMPn8/h8PhOeiWxEKqXSII2rh1dBfp5arWm+9Swvr1Io5DHzNTX1zMyvv55+5ZUhzs7iQYNCkpOv6YdnHA7nmWcGRER4hIW5P/vs70x4JhYLQkPdxWJBaKiMiH7/Pe2VV4Z06SLx8pIsX757zJgIIpo1K2HAgK73PPSUKd2JSK3WHj2aXVpaZ7AjOy+V2uXnV8lkDsXFtd7eTkbXoEl17Nazx6YO1F9854VJzMy4IbHjhtzuQ7hQr3Fs4Z0NZe6uTiH+FvecNABLJpDnsFO4qRVPnwQAADC7m01nfB6fzyvIv+Hq4WWQ4EZ25tARo9QaTfOtZ336BA4aFMzMZ2XdHLQvP78qJSWX6dAWGelpsAuz3tnZls/n6nTUuN9bRYXcy0tCRH5+LvX1KmZl4/vWmjz0/v1Xjh/PdnW1LyysVqk0Bjuy8337Bqak5Pr6usTGejfz7tpHxw7PWu/YqQw2qAOA+1FacpmdAgPRGQAAdGjM0CDM6/TJ4xJXj4Kcq+xWRX19xrnTzy96U625R+tZk8LC3Pv2DWTH7dBXU1N/9Wppt24eNTX1fD63yXuS7O1tsrNLAwNdi4trHBxERh36l19Sv/xyGofD2bLlbDPJevcOWLVqf2FhzZAhpn/OlrE6dXhWXFbFIY6LpLkxPQHAQGFdHTsFAAAAK8A2nV08l1avkL88e7r+8A1PPfXUF//709beob5B2XzrWZMefDB29eoDs2cnlJbWRUR4dukicXKyvXixMCBAyuVy169PdnISp6TkTpwY3eTuY8dGrlt3fOLE6L17Lz/4oHFj7Emldn/9df6edyE4OYm1Wt3ly0Xz55v4UVst0OGfe9YaMqlkzVuz2/WQ1luZAJ2ZDs1nAADQYel0unp5nValrKtSvf/24pUrVkyfPl0/wdNPPy0S2ZaVltQrlQ0Nqrvl0727t5OTmF3s37+ri4sdESUm+ru52Z89m+/u7sAkmDIl5sCBzLo6pZ2d8Jln+ldWKgYODNbvWNitmwefz2XmR44M9/JyzMwsfeCBmLAwdyLq3TvAoHPj3Q69aNHQ48ez7e1t3ntvjEQi0t/RIJPu3buUlNQaW3VtoVO3ngEAsBBhgVngiwcA5sXlcjVq1aOTRzCNZc8995xBbEZEMpnspXnTmWYGHZGTk3OTQ6Mzo96z+vcPYueDglz1h9R3cBCNGxfJzLu7Ow4aZDgSBBOGsaKju0RH3848MdH/Pg/t5CQeNapbkzsaZHL9euWwYaZ81FaLITwDAONohRKiMq1QYu6CmFzLL5PRegatgC8PAJiTu7t7RUVF82ny8/PbpzDmolZrL14seO65AeYuCBER19wFAIAORuoazk4BAAAAWqxxN0WzqK6unzkzgcu969OS25N1PvfMYqEywQrInDzZKTDQeAYAANACjbspmoWLi63BU9TMCJ0bATqxVgYViEluQ13cVp579vqV03fb6hMc6+Lb9NhcYDR87wAArA7CM4DOS9eiiztmLx3pWra7VULrmb6sC8lfrXn/blufeG6xsw/CM9PAOQgAYH3u494zXUtf0FiLK9PkL4CWEtTlslO4SafD6/aLiIhWrlyZk5PD1lBOTs7KlStRXU3WFQAAAAtDgwCAcUpLL7NTYJj931ss6sVQKpUvvvgiW0UvvPCCSqVCdTVZVwAAACx0bgQA4xTV1bFTq9Kai2VcaOvTEREtWrQoOjp6x44do0eP3r179/nz53/++eebW1Fd+lAbAACgB+EZAEBr6XCJrYepDaFQuGbNmgULFvTr1++5555bvXq1SCRitqK6AAAA7gbhGQAAUSvbMBBuNGX48OFRUVG9e/fu1q3b6NGjb29AdelBZQAAgD6EZwBgHI1AQlSmEUjMXRALguagu1m1alV8fPyOHTv0V6K6AAAA7qZtH0s9dPZdx1bunHBJAlZA6hZOBVlSt3BzF8TkWn6CbvvyHxOWo6MTiSrYeT8/vxMnTvj5+bFryvIrUF13wl8GAAC47T5az1r6h2PfB2dauKcVw19h6PhkTh7sFIjomQ9nm7sIlmXnt/n6i4GBgfqLXYI8Rs1FjQEAADQNnRsBAMCUQmITn3x+ETPfoBDXK0Qicb2NWMGsiUwcaLaSAQAAWDyEZwCdWMuac3W3pmgNhqYExQ4Iih3AzP/799l/d58JGx7Tc0S0eUtlnXAOAgBYHYRnAGAcgTyXnVoVXOm2KVQvAADAfeCauwAA0MGUll5mpwAAAABgQmg9A+i8WtaeUVRXx0zRHAJgXjgHAQCsD8IzAAAiXOm2DdyoCAAAYJS2fe4ZAAAAAAAA3Kc2fO4ZAFi8lpzeGoGEqEwjkODXAcDccA4CAFgbDA0CAMaRuoWzUwAAAAAwIdx7BgDGkUk82CkAAABYJo1GU11dzcxzOBwnJ6fGaWpqavQXORyOvb19exQO7u7e4dl/Hv+yHcoBAGBmOvQTawNMrep0qF4AgHZ26dKlmJgYsZ2YiDRqzYiRI3795VehUMgmqKqqcnJysrWzJdIxP9JcDqe2ts5cBQbGPcKz7dufbJ9yAAAAAACACcm83UY+O0AsshUJbf7+5uCy5cveefsd/QT2DnbfHfyiTl5XJ68rLy9fPneVQQ7Virqtqfuk9k4juyexK3NK89ft++3dqc8bW55N/+7uFxonk0jvOIS8dtvpAzP6jm19/tYBnRsBOrEWtWcI6nJvTtEcAmBeOAcBoFkc4ggEQqFAYCMSjZoz5KNXP8q+liUQCJitSpVKpVZdTLvsGeCuVKlUKnXjHGZ/unDOwEkSWwf9lY4iu0ifkBaU548Tu4M9/AzCs0p5zU+Ht+qHZy3O3zogPAMA45SWXWanAAAAYLE4HI5QIBAIhEKBUOIh6dLVM6X2iHOgI5sgem7XD175+J3vXteQWqVSGuz+y7Hte84e7dk1WurgVC2vPXI5VSwUXSu+MbnXCLVWw6Spktf8nvw3n8ef3ne0DV9YLa9NvpKm1moyC3PHxg0MlPmwaexFtgplPbNXRsG1AxdOSGwdRvcYQEQ60u08fehKYQ6zC4/LY/KvlteeyDyj1WkzC3PHxg3yc/Vqh0ozO4zcCADGKaqrY6fWRIdXG7xQve1QtwAAzWBazwR8gVAg9A32tvewDR3vy74ipwe6hjmd//eSSqVSqQ3Ds1j/bkQ0PLpvkLtvpbxmykfP7Uo77OUiY9q7iKhe1fDAf5/R6rQ5JXmzPllIRJXymon/XZBXXmQjEIxaPq+uQaHSqMeueILDoWpF7a60w0SUfCXtya/f8pZ61NbLdVodEe2/cCKnNI/dhc2/Ul4z4YOnMwtzHW3tR//fvPLaynauPbNA6xkAAAAAgBXicDhC/s3WM4FAILQRapQagzR2XqLSwlJflZeyUefGUK+AIHffhKAoIsotLQj28Fsx8xVmnkmwK+2wu0Q6IiaJiEYuf0ypVhHRoIhe84ZMJaI9Z4+l52UVV5UFufvOHTSFiHamHSKiitpqZ3vH/uEJ9iJbIqqU1wzolvDksIfYXdwcXdgyDIrotWDETCI6mXlu8797Hxs8pQ3qybKg9QwAAAAAwArduvdMKBAIBHxheVGFg6etQZrKzFo3b6lKpWzcudGAj9TTYE1xVVlGQfaPh7f8eHjLzKTxHA6HOSizVSaRKtWq3LL8CJ9gZo1YKCKi4TH9Qj0DYhaNf/H7/1Np1ETE4/D0dzF4C8xMj4BuRVVlRlZAh4TWM4DOq2X9ozQCCVGZRiBB9yoA88I5CAD3wKGbsZlAKODxL5/JdNHYlZ69+TA00pGirr7mRp1HgEypUqrUKmN/VwLdfUM8A5Y80NxI7x5Obv+cS2bm1RoNEfG43OUPvfT2g8/O/eL1v1L2Ma1zd7P/4glm5vz1Kz0CI4wqXgeF8AwAjOPiFk4FWS5u4eYuiKnhUrdNoXoBANodh8Nh2s2EAsHFlMsyqezFqS+yWxUKxauvLnr24/nE1anqlSqV0thHVA6O7PWfTZ9/sHVdfGDk9bKCh/tPbJxmeHS/t3/75Ms9PzvaOmxN3ffGpCcPXjyZmn0+yieksq7aXiRu/hA6ne7t3z6J9Ak5fiXt3WmdYqh9hGcAYByZxIOdAgAAgMXSanWaBo2ao66srf559R/r160fPnw4u7Wqqur1Ja8RR1dZViVXyKurmxj06+nhM5gZJ1uHGUnjDOa5HO7O177548Tfl/OzeofEGiQb22Ogj9RDLLTZveTbP078bSsUbV+81l3i2sXFvba+LqPg2rKHXozxC6uW1xrs4ii2Z9f0D4/v1TUmtyx/y8LPbYWiNqkmC4PwDAAAAADA2vB4vNrK2g+e+pSIuBzO0rfe0o/NiIjL5dqKbdct+Yl0pCMdEclkbgaZPDX8IWbG0daefTSZ/rxYaDMraTybXn/T6NgBzIybowsz8gdrTI+Bze/CruFz+aNi+xv73js0hGcAAAx0v2tTqF4AgHYVHh5eWdHcSPQODg4lJaXtVh64Txi5EQCMI6zLZacAAAAAbUS/q2TngdYzgM6sJQ0apWXpt6ZoDwEwL5yDAGDN9Ps9dh4IzwA6sRZd2hXVyW9OrevK0LrejaXQ3ZqietsEqhUAwOqgcyMAAAAAAIBFQOsZAAARoSGibaD5DAAAwBgIzwDAOBqBhKhMI5CYuyAAAABARJRTmr9s0xfmLkUnkhSe0D88vo0yR3gGAMZxcQ2jgiwX1zBzFwQAAACImPBs85fmLkUnsoQI4RkAWAqZxIOdAgAAgBn5unlROvUPi09qs2gB9B26lHI4PaVND4HwDKDzauXdQLiZCMC8cA4CgJ+rFxElhccvmfSUucvSOWz6oq3DM4zcCAAAAAAAYBHQegYAxhHIc9mpdUFTRFvA0I0AAABGQHgGAMYpK73MTq0Jooc2heoFAAC4HwjPAMA4RXI5O7UqCCDaFKoXAADgPiA8A+jEMDYIQIeGcxAAwOpgaBAAAAAAAACLgPAMAIyjEUjYKQAAAACYEMIzADCOi2sYOwUAAAAAE8K9ZwCdWUvuXJFJPG5NceMLgHnhHAQAsDZoPQMAAAAAALAIaD0DACAitEO0DTyVGgAAwBgIzwDAOAJ5Lju1Jggf2gKiMwAAAKMgPAPovFp2xVxWepmZ4oIbwLxwDgIAWB+EZwBgnEK5nJ1aF1zrtilULwAAwL1haBAAAAAAAACLgNYzgE6sle0ZaA4BMC+cgwAAVgetZwBgHC1fwk4BAAAAwIQQngGAcZxdw9gpAAAAAJgQOjcCgHFkEg92alXQT6xNoXoBAADuA1rPAAAAAAAALALCMwAAAAAAAIuAzo0AYByhPJedWhN0vmtTqF4AAID7gdYzADBOWdlldgoAAAAAJoTwDACMUyiXs1MAAAAAMCF0bgTozPBcan1W9nYshO7WFNXbFlCrAADWBuEZQOeF4AygQ8M5CABgfRCeAXRiLbq40/AlRGUavsTarg2t7O1YCDSetSnUKgCA1cG9ZwBgHBfXUHYKAAAAACaE8AwAjCOTeLBTAAAAADAhhGcAAAAAAAAWAfeeAQAQ4S6etoFbzwAA2t/Zs2d37tzJzAsEgkcffdTFxUU/QXZ29k8//aS/JiAgYMaMGe1XRLg7hGcAYByB/Do7BQAAAEuTkpLywZoVniHuAj5frdB++tknaafPODo6sgkyMzM//+qz3sMTVGq1SqUsyisRae1aE56VVJc72TkKeIgsTACdGwHAOOVll9kpAAAAWCB3P1nihLikyYmj5w11C5QuW77MIIGXr+fk+RPHzRk1YtbQ7gMjSdeqXg4vfv9/e84ebbw+NevCyavnWpNzJ4QYFwCMUyiXs1MAAACwQFwuVygQCARCoUAw8MG+a15YvXLFSv0EHC7nnz/3xQ2OVamUao2mlV3QNzz7QZPrU7LOqTWahKCo1mXfuSA8AwAgItwd1cZQvQAA7YjL4TKxmYAvdPR0cnKXJL4T7hzowCaovlH385N/dOsdplQp1WpV45/p5Zu/Ono5NbMwd86gSYsnzP89+e+Nx3fUKGqTwhOWPPCkweITa5c+OnBS75Du+uufHDr9xe//j4gu3Mj8/LG3DDJ85LNX5cr6GkVtSXX5j8980M27a2Vd9XPr/1NUWSbg8bcs+qKoqvSJtUvL66p8pB7rn35fJLBp1xo0H4RnAAAMBBBtCtULANB+uFyukC8QCITMf85uzoqyev3wzNHbzs5VdP1qnpOno1qtafwjvWDEjNcfeEKpVkW8POaJIdPe/ePTg29tcLaXMFsNFlkG61c98ppao1kwYmbjDFUa9ZDIxCeHPfTT0W0fbfvumyeXvf37p1N7jxrbY5Bao+FxuYs2fPDi2EcHRyQu/XX1hsN/PT74wTaqK0uDe88AwDgavoSdAgAAgAXicjm3YjOhgC9U1iv5YsNWGa1ap9VplSqlRqNq/E9oPC7vp6Pb/u/Pr2oUtSU1FUOj+s76dOHW1H06nY6IDBZZd1vfOEMHkV2MXzgRJYXFFVaWEtHhSyfHxA4kIj6PR0Sb/t39v8N/PbF2aWrWhayiTjQgGcIzgE5M15KXizSUiFykoS3b3UJfAB2R2U8cy3kBwJ04HO7N2EwgFPD4hblFjj52+glqCxV1ZQpnD4lKpVKpNY1PpIdWv2RvY/vC6Ee8nN11Ot1HDy9+edzcHw5teeqbt4nIYJF1t/WNM2TX87i8m0WqV+inD3L3/WTu0q/mv7t98drlD73UisroYNC5EaDzatkljZvEg5niigjAvHAOAsDdcLlcpt1MKBBknsu2Edr8PHb3HQl4nHHzRqo0qpv3njX6QbleVjAsui+Py03Pz+JwOFXymsERiYnB3WMWjicig0WWwXpHsUNGQXaTGTYuc7h30I7TB8f0GKjT6TgczsCInt/889tzo2YTkUar5XE7S6sSwjMAACJc6bYxVC8AQHvi3mw9E/D5gp0b9ry/fMW8x+exW/fs2fPS6y/EDoiuU9SpVCq1Rt34V3rBiJlD3nvEQWQX4RNMRM98+25Jdbm9yO61ifMbL7IM1o+JHbDh8JaZn7zyw4KVBhk2tmLGKwvWvbNu/++2QvEPz6x458Fnn173zt5zx/g83tLJC7r7h5uygiwYwjOAzqyV18y45AYwL5yDANC0G1fz/t6wj88XVBZVOYgkj819zCBBUV7xnp8PqNQqlUpVWVIps/UySDBvyNR5Q6ayiz8+c8fQ+QaLX81/t8n1jrb22xevbTJDdhcvZ9m2xV8RUahXwN4317MJXOydfnl+1X2+X2uC8AwAjCNU5LJTAAAAsDTx8fHPPvE8M29jYzN//nzunT0Du3bt+vyCF/TXBAQEtF/5oFkIzwDAOOWlGezUqqAdoi3obk1RvQAA7SU6Ojo6OrqZBAEBAUuWLGm38oBROss9dgBgKoVyOTsFAAAAABNCeAYAAAAAAGAREJ4BAAAAAABYBIRnAGAcjcCRnQIAAACACWFoEAAwjos0jAqzXaRh5i6IyWHwiraAsUEAANrcoUsptOkLc5fCqiSFJ/QPjzfLoRGeAXRixl8wKxvqJQJHnVIjETg2KBQ2IrFBAo1apWxo0F/DFwgEQpvWFBMAmoaYFwCIiOhwesrh9BRzl8KqLCFCeAYAHcAvX73/54+fcnj057b3/uIsn7d45ZBxM/UT/L3p+3UrF/OFAiIiHanV6iHjZzz95mrzFNcYuNA1iZwrF04d3cvM8/kCF6dYurPtrDgv5/CuP/R3kW49WxgAACAASURBVHXxTRo5pV1LCQBgLZLCEzBAvmkdumTmWBfhGQAYQ0eRg0LiR3a3FYnrq5XfrVgSGpngHRCin2TY5KEPvzy1TlFXJ6/bt/mQvFRjkMe5nFQnW2cft0AiOp97SqtVR/v3bHGJUq4eCXALkTrKmklTrai8kHOqd9jg5jJCfGYKVy+m7f/rf1FxPflcbnVV5bazX/eIeZHodvUWXM8+uHXD6PEPaNQatUZ743ruuX8PJo1AeAYA0BL9w+PN1chjtTZ9gfAMADoODvF4PKFAIBAIJd6SpAm9Pnx9TmC3WHZ73rUMRV1xVUW1jqdVqVQajWFsRkTnc1N8XAN83AKvFlz6+fBXS6Z82JoSpWQcdhBJ7hGeySuPpf9zj/AMTMQ/OGzao0/ZCAU2QsEX/112LXNPAsXpJ/D29V/wwqv1SmV9g/L40YM/ff+d/latVnv28OW8zAKtViewESQMj5J6OLfvOwAAADAbhGcAnVcLmot0RPVC3rmCYn83t2BHSdzAmH2/H3Afw+VwOEwC50BSnlatX7XhoeenKFVKjVbT5IF0RIWVed/s/fCVif8ntrE/efWIl7Pv+dwUB5FTYuggJrerhenpN876uQVF+sUVVt64VnwlMWQQEe0/tz3Gv6eLg1t5TUl2UYZOr+9c+o2zVwvTu/l0D3C/2aCXfuNsdtFlR1snNs3lvHNZhekRvrEF5Td6hQ5k0lwXnblWHOsvCza+SsAQl8Ph83l8Po/P4z08f8H86eOXLdxxRwIu949f/zdi7CSVWq3RaA12P/pXqpOb4+i5gzkc0qg17FcLGkOLLwCA9UF4BgBG4BAphJSam2cjFHXzFUhktgIboW8/D1vp7cE/AgZ5/jZl/+SnxjOtZ7qmriFr5NWfbH/36dFvuDi4EdG+s9uKK/Me7PPYvnNbS2sKxyXM+Dfj4OELfw+IGrXlxI+FFdcTwwb9evibxJBBcqV87d8rZg1YMCZhWsrVw3zu7R+xA+d3nLp6NDFk0Ne7Vz4+/JVA97Ajl3YfS983KHLMxiNrOcQhInbNJ9vfI52uV+hAZi+h1vabvR88NuTlAPfQtq9FK8fhcPg8Hp/H4/P5Xl28Xd09nn5jhU/A7dC3MC/3vecf6T90tFqr1WjvCM+qymprKuqSJiYwizw+j4gqi6tP7j1bVyXncDiDp/XmcDiH/0whjk4g4A+d0e/iicwradlqlSZhaLRvmFd7vlMAAACTw3PPAMA4HA6XiHg8rlAgFAiEAgFfq7qjB6PQQcDjcyvKKpUqpVqjbjKTwxd3uTl4eEv9mUVHkeO84Yt6hQ6cnvTExdwzRPTXyZ9mDHwqvmvSI0Ne2Hnqd3uRxEHsVF5TcjE3dVLiI2nXkonoQs6paP9ebJ5/ndgwvufMkC5RfcOHp145SkQ7Un+bPXBBQnDSgtFvujt30V/z9KglzBpmL4nas2/YsNSrR9ugwjqd2+EZj8fn8WTuHlXlZfoJPLr4OkvdMjPS1RqNRqPVD9/L8itkPi4GGTq42A2e2nviU8ODYwMuJF8hovysokFTEofO6FdRXHXt4o1x84aMe3xw8s7Tbf7eAAAA2hjCMwAwDtPZjMflCQRCHnFrKmptXe8YXl9eWs/jcW1shSqVUqNRN9kBa2SPBxvU9XvSNrO5Mv+T2LloNCoiqqwr83DyJiJvqX+9SkFEsYGJF6+fTss+MTB6jEqtlDfUVskrXB3d2TwLKm6cyT5x4PwOhbIu1CeaiKrqyplMBHwhh7hNrmH2KrBJVyjlod7RJq2qTup250Y+j8/jKeRNPYBBoyEuR63WaDQa0t3+img1GrXKsLsjj8+rLKk+e/jSjSsFipoGIvIKkonsRERUlFtaVlBxZEtK8s40Zb1arWziXkcAAIAOBJ0bATqzlty6wuVyiIjL4wkFgpz0G/Yudv+uSme3arWaiuzqbolhSpVSqVZpNBpBEwfScbmcZ8YufefnZzxcvKN82SGn2BvEdHY2DrklmX6yrqXVRfYiCZGuR1DirlN/VMor3Bzduwckbj35U5BHuF7OumDPiJ7B/ZkBIW9mIrqZiVarIp2uyTXMXmXbRJMSp7agNqAx/dYzLpdzPSfLw9tPP0FpUUFFaXEXb/8Gtdqgc6Ozu+Tc0cuk05HeLWf5WcUXT1zpOTzGw98teUcaEZHu5laBgBcW3zVheFSbvysLhbvPAACsDcIzADCOhGy6dgsK9vQSCIQH/zoWGz8yLOZ2D8PzKUe1gjMjZw2pb1CoVMq73XtGRLZC25cmvPd/vy98dfKKxltHxD6w4eDno+OmHrywc0LPGUTk69b1VFZy/24jiSg+uN/C7x55bcp/iUhi55KRf9bPLWh84oyv/l4xtd/jZTUlYd5Rns4+w7s/sOHg56N7PLj15C9qrZKIRtxa89fJnzRaNRExe9kLgg9e2BnSJcrTybsN6qxz4XBvDw2SlnKCzxc8PXmgfgIuj7fglTc0Op1abdi5UerpbO9kd+LvMwnDo7lcrlajJaKa8hq3Li6OUvtrF6+XFVTqZ+XhLzt14GJ0UqiNWKjVarlcdAkBAICODeEZABjHUc3tFxQithGfPnjm6oXrq3//XSS2ZbdqNBp5Q3Z1RY28Xi5XyOsVDbYiwxwifeMlts5E5O7UZcHoN64WpseH9HN1kBGRWGibFDmCiAZHj3N38r5WlDEmblqwVzdmx1kDn2aGZPSW+k/uMyfMO4aIxvWcdvTSP/KG2vigflJ72cXraW4SDydbFyIaGjNeJvHML899fPjLuaVXiWhIzHg3iWd+ee7I2Mn/Zh4iImavb7O+s7Wxk4icdDo0R7SKTqfj3mw94/N43LWffuzrM3LBa/NjB938EM+cOLDth1XDx06qVyrVGo1GqyUd6Vf7wAcTU/85v+XLvUKRQGgjiBsa6RfeZf9vybmXC0S2Av9uXZjEzNTWUdxjUOTuDYdFdjYOTva9RsWY5V0DAACYCsIzgE7M+EhEaCM6ujHl0LYTfC7fxVX22kc/i0S2+vnY2IgzTmddPnWVbl1AD5kwwOBAkb5x7NGDPbsFe3ZjyyMW2CaFD2c2RfjERvjE6pezX9gwdnFK70eZeXsbyYjuk5j5AFlIgCyEzY2Iov0Sov0SiMjL2Vd/zb9XDno6eTNrAmQhPvUx8UFJRlcHNCUz/cK3n6/icXn5N3Kra5ShQX0MEuTfyPn+qzVqjUaj1hQV5hts5Qt4vUYaRlkjHxlw52J/dj4wyicwysd0xe9Q8I8JAABWB+EZABhh2vxX+ZGy34+vn9L70cl95jROMHj8jMHjZ7R/we5Tbknm6ex/faT+O1J/e2bMm+YujhUKCu/ed+Q0Zt43skv8gJ7nj17VT+DpEzB4wsNEJCAiIntXH5mXn2EuAAAAnRXCMwAwjlBxnZ12OK4SL09n7+LqggWj33B1cL/3DmAkv+AIv+AIdvH0/osGCWRefpPnvtS+hQIAAOgwEJ4BgHHKyy6z0w7HVmjbM7j/vdMBAAAAmAMGuQIA4xTK5ewUAAAAAEwI4RkAAAAAAIBFQOdGgM6rlaO+YdA4APPCOQgAYH0QngGAcTQCCVG5RiAxd0FMDZe6bQrVCwAAcB8QngGAcZyloVSY7SwNNXdBTAzhQ1vQ3ZqiegEAAO4H7j0DAOO4OXqwUwAAAAAwIbSeAQAw0MDTFtB+BgAAYAS0ngEAAAAAAFgEtJ4BdGItas8Qyq/fnKI5BMC8cA4CAFgdhGcAnVlLLu7Kyy/fmuLaEMC8cA4CAFgbdG4EAOMUyeXsFAAAAABMCK1nAABEhHaItoGRQQAAAIyB1jMAAAAAAACLgPAMAIyj4UvYKQAAAACYEDo3AoBxnF1DqSjb2TXU3AUxMXS+a1OoXgAAgPuB8Ayg82rZFbObowczxQU3gHnhHAQAsD7o3AgAAAAAAGAREJ4BAAAAAABYBHRuBADjCOW57NS6oKdYm0L1AgAA3BvCM4BOrEUXzOVlGTenVna9bWVvx9KgetsCahUAwOqgcyMAGKdIIWenAAAAAGBCCM8AAAAAAAAsAsIzAAAAAAAAi4B7zwDAOBq+hKhcw5eYuyAmhrt42oLu1hTVCwAAcD/QegYAxnGWhrJTAAAAADChe7SejRnzZfuUA9rf9u1PmrsIYHYtadJwc3S/NUWLCIB54RwEALA29+7c+PFWXMRboRfGIfAGAAAAALAslnLvmaKubu3KlXnXroXHdH/4uWd5fEspGAB0FmiHaAu4+QwAAMAYlnLv2QevLbYTOfUdMKq6rPrjN5eauzgAnYKuRS+h4joRCRXXW7a7Zb4AOiKznziW8wIAsBqW0khVklcY070vEfkHhR7Y85e5iwMAd1VelsFOrQuu8dqC7tYU1QsAAHBv9xGetcufVC6fq5DLxba25aXFHj5d8HccoD206EQrUshvTnGeApgXzkEAAKtz7/CsfX78X/9o1eq33qosK3Pv4vXSsuX4iwMAAAAAAJ2NpXRulHl5Lfv663efe2bpmk/vc5fSgurUAxlEZOcoiujp7+xmf89dKkpqL57MCejm4eUvNdiUf60s82yeja3QL8Tdw9e58b73TAAAHRr+VahNoXoBAADuh6UMDdICZYVV2elFfqHuHA7nk8V/FuZWNJ++Xq788b97pR6OPJ7hu049eOW3zw7ZiIVajfbssazG+94zAUDnoeFL2CkAAAAAmJD5W8+0Wu3bC55i5s+lpPz39cVEJLSxee6td+65r7ObfVgPHyKqrpCf3Hc5bmCwVqsryq2wcxSF9fCpKKk9f+KarYNNbL8gLo/708f7sy8V5lwucvd2Msjn5L6MCY/19g/zuNuBGifIv1amVmmKrlc2KJQJg0NtxIIGhSr7UmFBTnlwtJd3kFv+tTKtVldwrVylVMcPDBGK+ERUml91MSVH6imJSPAzvqoALIKTNJSKsp2koeYuCAAAAIC1MX/rGZfLffeLr5hXbO/eryx//5Xl799PbKbPXiLm8bl5WaWfLP6zukJu5ygqL6pZ//5uidTuWnrRjx/+Q0Sh3b1d3B3C4nxtHUQGu7v7OB/aeq68qOZu+TdOkJdVuurlTXwBt6Sg6vuVe4go/fT1wtwKsZ3wu/d3F9+ozMsq/fiVTTw+t7pC/vW7O4ioMLf8f6v22UnE/+5NP7jlrFFvEMByuDm6s1OrYvahwa3yhepth7oFAAArYv7wTN+N7Gzj0l8tzTiTd2T7+X/3pvcaGkZEcQNCBj0Q49PV7eiuC4nDw6J7B0ya3+/q+fzqcrlfqMwvxN0vRGYjFhjkM/bhXr7B7p++vuXLt7ZfSy9sfKAmE4yamRCb1HXC3D7518qIKKZP4MCJ0b2GhcX0CcxOLySi4dPievTvOvKh+OpKefGNymO7Lkb1DggM9xj0QMzZ48a9UwAAAAAAsHoWFJ4d2bO7pqrq1LGj979L0fXy7IsFPD53/ttjpB6ORMQOEFJWWO3pLyUiDod8Q9yrK+XN5CMQ8gZOjH7j65n9Rkd8u/zv6vK6+0nA4XCIiMvlMPFeXnbpt8v//uOrI1fO5GnUWjYBEfl0daupUlRXKK6ez//3n8uXT9+IHxRy/28TAAAAAAA6A0sJz5QNDX/++MMPe/f9/NWX9QrFfe4VNzBkxEPxvUd0c3ASG2ySuNjlXi5i5gtzy13uY1xHLpcT2cvf3du5otQwPLufBHs2nho5I37Kk0nOMoeiGxU6HWWcyWM2FVwrd5E5uHk5hvXwHfFQ/IiH4nuPCL/P9whgaWwU19kpAAAAAJiQpTyWet2H/33k2ecFAuETr762dsX93XvW5L0Nt6aJw8LXr9gtkdoX5JSHdfe2tRfdvHNMR0SUeuBK/rWycY8mMvttXZ8skdpKpPa5V4rr5cou/tLU/fdIUHy94o4j6sjLX3ror3PBUV7nkrMnze9HRJnn8o7uvKisV8m8nZxd7fuMiPj8za12DiKhDZ8v5IXF+rS+3gDaX3lZBjsFAAAAABMy/8iNRJSfm1tbXR0Vn0BEXcO7CW1sUo8eievbr/m9pJ6SiJ7++mu6BLoyXRyJyNPP5bElIy+l5nr5S6MS44nI0dkupk8gs9Ur8P/Zu+vwpq42AOBv3JrUXam7lyJFWijS4rAN2RgygQ3GGIMxF8YEtjFkg4+NjQkbjAlS3Iq2hRptoQZ1d0vSRr8/Ui4hqWuavr8nz31u7z3n5OTmJr1vzj3nGOooNbhNnOOTmVRYVVpvYWc4bVEQlUbpNIHyc42b4QkAoXN9793O4ze1bNixAOTy0vya0Dk+NDqFyaQ+u34SAOgb67z66ay027kSCc3J3rJXhwyhwVMuFBBL7YKDLfQrPLwIIYRQ5zoPzwbgP2r2/XsvbdpMPNELb246+8/fnT6voRnP0IynnEzR2YzYYmypZ2zZOoa+HIBrwPYeY6/Ya2ZjYGZjQKTU0WMFKHUGk3chgfJzjY3wlANQ6RSfEAciTWl+DUuHERTmQmQBAF0jztgIT+UtCA0iubxXp2EvsyOEegk/gwghpH00ovVs/LTpyn9SqNTIZxYOVmUQQsMTXuf2B6UbwBFCCCHUOY0Iz7SShb2RwaO7HxHSJhKqLkCNhKo72BXpaxhA9AeMzxBCCKHuwPCsv1jYGQ52FRDqF/oGLlCeq2/gMtgVQQghhBDSNpoysD5CaKgw5pkSS4QQQggh1IcwPEMIIYQQQgghjYDhGUIIIYQQQghpBAzPEELdQxcWEkuEEEIIIdSHujA0CA63hRBSUluTRSwRQgghhFAfwpEbEULdUy4UEEutgj9F9Ss8vAghhFAXYHiGEEIAGD70Mzy8CCGEUFd0Hp7h/1SEtFYvP97a9u2gba9HM+C81P0JDypCCGkdHBoEIdQ9EqousUQIIYQQQn0Ib25EaPjq2S/vegYuUJ6rZ+CCP9wjNLjwM4gQQtoHW88QQt1jzDMllgghhBBCqA9heIYQQgghhBBCGgFvbkRDjFAobG5uVqwzGAw2m62SQCwWEwkU6HQ6g8EYoPoNMT27NwoHe0BIQ+BnECGEtE0XWs/k+NDGx5D1ySefmJmbWdta29ham5iaHDx4UCXBDz/8YGBoYGZuZmZmampmamhkuHbtmsGoqdZiCAuJpVYZ9E+ltj7w2PbfgUUIIaR1sPUMDTFyudxtgmPgNF82k9XcIHrjzfWjRo1ydXVVTjNtQfiS9U/xhXy+gH/5v2tSqUylkCv34kx4Bh7WTgAQff+2RCqZ7DWmx1WKSrzia+tmZWjWQZqqxtroe7cXjJra42fRHDU1WcQSIYQQQgj1IQzP0FBDAgqFQqfRaDS6rpXumFnBTy96OigwkNifkZlZVlVSX9sgp8jEYrFUKlX/nfnKvVh3K0cPa6f4h2kf/LXz5KZ9vanRyfgrhjr6HYdnlQ01R2PPakd4Vi4UEkttgq0R/UG58QwhhBBCncLwDA09FDKFRqPTaTQale4/wefS0as6k4FEIrXuHgWkJPHBHb8vWrdAJBZJZdL27uHNqSh87eCnR9fv1GVzoxKvOJuPuHIv1lBHf37wFEVpCTn3bmYmetk4h3oEPywvuJufMW/kFAA4ePW/cK8xlgamxTXlyXnpymXezExMyLk33i3Q186N2JKUe9+YZ0CkuZWVlJhzb4J70IOygrkjw9vMhRBCCCGEhiEcuRENPUTrGY1GMzTRpzNoNiFmLrNsiMeoNzwTr6WIRCJF61mbP9tXN9Yt+37zgVVbLQ1MAeDn6H+f+fZ1E57hr9f+23H6IAAcu3Pxy+M/jDCx3H7ixx8u/aXP4X18dA8ANAj5r/z40d+x5wAgKvFKeX0VUeav147tPvubmZ7RKwc+Tsy9BwCHb5365tTPNkYWXxzf/6AsX7Hl66ifbIwslu9959N/97aZCyGEEEIIDU+dt57hHSlI01DIFBqVTqPR6DQ6jUan0qkysVQ5AZ1Lo1DJtdV1JBpIpBKgtVHIoRsn7U2s3SwdFH8a6uhtmLFijLPfCBOrj//+7o3I5d+c+vnAqs+czGwdzWwX7XzjxUlPG3L1i2vKE3PvbZ790vmUG+silkbfu/3lko1x2SmKQr46eeDAqs9MdY0WjqmKSoj2H+Gx++zvB1/5wsnM1sbIfOt/+wBAfYt6rn49ek/o0cdbSuUB1EipPK37dtC216Nh8PD2AzyoCCGkdfrx5saAlT79V/gQlXDg7mBXQRuQKRQiNqMAubGmiW3EUk4gqGqmUMgMNp0vaJJKJW0W8urUJf/Endt/8chLk58BABKQSEACABNdQ7FEDABldVWOpjYA4GbpwG8RAsA033HX0uNvZSW+OXPltfQ79YLGioZqGyNzoswHZQXn794AEgkAxrr6A0BFfbWiEAaNTiaR29yinkvD6em7QHmenr7LYFcEIYQQQkjb9G/fs4u/be7X8oeWyc99MdhV0BJUClkRm9FptPyMIq4BJ35nBrFXKpXW5DS4j3IViUUiiWJokDZQyOSDr3w5ecsyR3PbMI9R6gn02LzUgixvW5eCqlIDHT0AmO477vvzf1Q01NgaWUzxCdlx6mCgvZdylmBHnzlBkxUDQrYWwmktRCKVyOXyNreo59JwxjxTYokQQgghhPoQDg2Chh4ymUqj0ehUGo1Gv3EyZkb4rLFjxxJ7o6OjE+nx056d1NwiFItFUqkU5G3fAMRjcQ6//s2sL1f/t/E79b2rwxe+/efXa6c999v14xtmLAcALxuXM8nXnw2ZBQAzA0IDNs87sWkfAJjoGsZkJ3nZOG+YuXzVjx9+uGBtcU35GBc/JzPblyc/8/afX6+Z+uy3p39pkYgAYNXkhYot35z6WSyVAIB6rn44ZqgL8D6xfoWHFyGEEOqCLoRn+D+1D+HB7AtyqUzSIhWDJOP23fyMwjP/nOdwOMReiUTysDKrobZR0CwQCAXNwhbQUy0h1GOUCc8AAOxNrH9a/VlCTtrMwFBrQzMA4LI4i8fNBIDlofPtTW2S89LXTV860tFbkfGLxRsUgyu6WTq8O291iKs/AKyPfP6vmDP1gsYZ/qFWBmbX0uNtjS1MeYYA8ELYU3bGVlmlubtXvJ9WmAUAK8MW2BpbZpXmvjJl8fH4SwCgnmvA9PJ8xNMZocGFn0GEENI+2HqGhhgWkxV//m78+bsAYGRsdOL4SeXYDADYbPaDpNzspByQt7aahS6folJIqEcwsT7S0ZuIvgCAy+QsHjtDsT7BPWiCe5ByxoVjIon1d+euUqwY6OitCl+kWPe1c1MZHH+y1+jJXqMBwNncTnnLsTsXHc1s2sulyejNhcQSIYQQQgj1IQzP0BDz4Ycffvjhhx0kWLZs2bJlywaqOt2WWpB57u5NdyuHPWd///mVzwe7Oj1RW5NFLBFCCCGEUB/C8AyhAWVrbOVkbptXWXxg9WfWhuadZ9A85QIhsdQmeJ9Yv8LDixBCCHUFhmcIDSgeizM7cNJg1wIhhBBCCGki8mBXACGEEEIIIYQQQFdaz/COlD6EBxNpmJ6cklIaD6BGSuPhGY3QYMPPIEIIaRu8uRGhYaxHl3Z6+i5Qnqen76JtV4btzI+HekVxVOVyPLz9Ag8qQghpHQzP+l5aVlFaVlGbu34585OPk5+vo98AVwmhPmTMMyWWCCGEEEKoD+G01H0vMS0vObEyv7KkXtCosmv3PztfmrnK1wHDM4QQQgghhJAqHBqkX8wMCMvaeW7LM+v0OLzBrgtCCCGEEEJoaMCbG/sLl8nZMGPFS5Of2X/xyNdRP9fxGwa7Rgj1DbqwkFgipK48Jyk/PUGxLuTTDUxoNSVxt09dV2yxdQswtcc7CBBCCKG2YXjWv9SDtJLqkv0n9g52vSCPFb/1X7xvdVjLY8Ufu83vQcaUvAQAyClL6+saDTL8PPSV7Ls39+74rL29q9e/Y4LhGUIIIdQODM8GgiJIWzBq2sSPnkvMjI+qLhnsGgGwYOt/8YNdCTSoWJB7u+fnQGFTE8Yzz02w7DhBRMTg/xYz8JjMKgDYtm3bM888Y2trq9iYn59/5MiRTZs2VRRU/fnliUGtoGZZ9NasHufFzyBCCGkfDM8GQmMzn2g9M+QZzRgzy8LQQrErITM+IevxJXKAc2CASyDxJ7FXZXvvXfgrfvHiviwQDTl//BHvM8G9BxkvJv7RJJH0eX2GKHn748WTSKS3f1g1kJXREP/s+QgARCLR+vXr//33X8XG119/PTAwEABsXCzmrxmOh6VNn7+4b7CrgBBCSLMM7fAsM6dULpe7Olj0IO/2/aemT/T1dO7kx+9eUg7MFFtGe475aPkWIkFCZnxC5h3izwCXIJXwbP+JvQlZ8QEugS/NWt2HFcv+Zd+78/AKaVi7dWDfnJHze5AxNvWodoZnfdES0dLSsn37djqdvmnTJgCQD9PmDTkAbNq0ydvb+/Tp0xEREefPn09LS/vzzz8Ve4frYWkHHgyEEEJKhnZ4lpFTIpX2MDzrb+qBmQLRbqYQ4NJRs5hir3LzGkKDTkZmAAhlZMZgV0TjXL58ec2aNQ4ODrt27WrdNIyvvOl0+q5du1599dWQkJDXXntt586dTCazdd8wPiwIIYRQxzoPzwbm36ioWSwWSTg8VtezNDQKd/9yAQByiyo3rJxeVdu4ff/pBr7Q1JD3ziuz6DTqb//dTM0sLCqrjQj1fnb22CZ+87cHz9XW8akU8uebnpFIZT8euUwhU+oa+e+vmWNnZdyHL+dkwuU9Z39Xn/dMoVuH1N8l6CUAf5cgvJ5BGoLJMgJ+HZNlNNgV0SDFxcVvv/12TEzMzp07IyIiiO3D/GM7ZcoULy+v0aNHu7u742FBCCGEumKQp6V+kFJw6udrcimZxWQzaSyxSCKXS+z9zUMXBpHJpI7z8ristc+HS6XyeVMDAWDv75eenhEc4GF34K/o89dTZ4T5zZsa+NzcsWKJdOmGfbMn+f/8z/Ww0e5j/J2kUhmZTBI2i8YEOD8dEXzhT83/hgAAIABJREFUZtqRqLi3Vs3oqxfl4WIlEkvcQV9l++Go2OenrfB29OvWIQ1wDgxwDgTAKxqkKdgMDrFEAPDw4cNRo0aZmpomJCTweE9Oddh+z7RekkmlHXR7UyBTKCRSJ1+k/UKpXjt27AgMDDx9+vQTe/vtsCCEEEJD3WDe3Hjom6iK8vpxC8bosvW5dB6XoavD4HHpvOzUh/vWHn7+84huNaZdvZ1Bo1Eu37xXWdMolcoBgEwmXbiZVlRaIxC21DUK76bnr10aDgAUChkAuBymu6MVAPi4Wl+83pdDhAd42AV42KlvPxwVu2beuj58IoR6q2cXyfJHS227xu7h63FwcEhOTn777bcDAgKUW89IbFp6QYqLtVd/xEifb1hpZeegvKVZwC98mEGj0Vg6uqZWtk0NDbbObpELV/T5U3eLra1tXFwcMX6jgradOL3Vi+OBhxIhhLTOoIVn16MSqwUN/hFeZAo5/U7WyLGB//x0jE5lvvTqC/6B/l5u3tu/2PL8ZxGdF/SIpan+6yumMek0YstHO/+bOcnv6YjgG3ey5HK5sLntwQzIZHJvXwxCaHiztLT89ddfFX3P9u7du2vXrhEjRlAdDdbvfd5Yz2yMW+g473B3G98+jNPMLG2fffVd5S1//7TT28eHQqHE3bi65JV3KkoKEmMuq1y+J19Pd/S21dFlA0BdZUNxToVHsKNiV3Zynr6JbnlhlUewU19VUsHe3l51U/tBRcc1ZHNZD1LyJ8wd2SIUPUjJ9wh2Ilb6ts4IIYTQYBm0yOTmuQT7YBvFevqdTABIjknh6XIVWwwMDEx1rIVNzR0XwmEx6xsFinU/D9uoS8mKdZlMDgAV1fVB3vZ0OjW/pIpEItlaGcUmPYAOB8JGCHWKKqknltpE3v2HirCwsKSkpODg4KNHjwKAXCwz0jWtrCs7HvPnm/9bcebOPz16EtVHScHDP/duy8lI/WPvNrFIIhFLWx8iUbOAL5fLxRKJVCKTSGTqL6s8vyonrUCxnnor89TPl8UtYsWft04lAMjSYrJ6X0O3wJBX1m9+Zf3mVes2LX/pdcU68XALDOkgb8c11NFnm1gZAMhbhM2KqhIrQ/bRi5wIIYS0kQaN3Ojg7hD59HTiTxaTLRZJOr67cbSf4/nrqZ/sPvbeq7NXPDXhmwNn4lNzKBTysvnjnOzM5k0Nen3L72wmfYS1MQCsXhz2zYEzUVeSmXTau2tm9/Or6TMJmfGJWXf8nYP6dt4zhACgZ9d4QmHNoyVeIqpiMBjvvfeeYl2SXnnwzKn0gpTrqedv3rsc5Byi/NNQTWOVAbcnw6sUPMxychs5c+GaP/Z+LhFJSI/a/yMXror6c19VafKMRWskYqlULJXLVDt5jfCwyk7O8xrjAgBFD8t8x7vlZxQ7eNsKGoU0Jo3GoAHIH6QU1JbXO/rY6hnzAEDcIslIeCgRS10D7Fk6zBahqDinXC6V1VY2OPvZSSWy3HuFuoZcB2/bFqGoJKdCLpc3NppMXbpZ15Cr3MZVnFMuk8rrKupN7GwVtWoRijITHtIYNBaHaWJtyOayOq0hg0mXSmVyeevrUl5Rr2rKzQxHb1s2l1VTXldRWO0a6AAA929nO3rb0pn0Hhx5jYSfQYQQ0jaD1nrm5GFb8bBasc7R5VyLuuk32pvYKxKJHhSm8wx0Oi6Ew2Zs27zwg7VzyGQST4f10bp5X2x6ZuuGp5zszABg5iS/vVuWff3u4h8+W2ltbmBjYfjt+89u3fDU+2vnkEmkjS9FKiY9M9Lnfrl5Yb+90N5KzLqz/+S+xKw7nSdFaEDwJWJiqVV61H5Bah8AkEkkD1ufVTM2/rrptJGuCZFTIhWt2rlg1bfzD13aV1CR071nlcvO/vvb/758J+XODYlESjxIZOqk2UutnbxMrewlEqlEKlPPa+NiXvSgFEDOb+CzdZjOfiMepOQDyAuzSuzcLAHk+Rkl9dWNFBr58I5T4haxXCb7e88ZuVwul8n++OqERCRuETb/s+dsY52ARCL98MFfceeSObqs2LPJ92KzWoTNf+85U1tRz2DRj3x7qpkvbBE234vNBpC35qptIkqWSqV/7ToNAM0C0dHdZ/gNgq7UkCjwUVjyeEW9qpXFNXnpRQDy1JuZJw9cVgymcvt8Cp1JG+wWsyfPIWw+QwghpGTQWs/mvRz+1bqDNBndw583dUmYYmgQxa6aqppd3+6Y+eao3j9LXYNAh8OkUrB3GUKo7/16pQgADm8/+eb3L7SZQKnxiqTckFVUWUAmkwsqcw9d3n/o8n5Xa++vXvqpiz3T/EMmu/mN+vXbzzZt+0UqlYNUCgA5GXfvxl0RiVoKH6bXVpYbmlq6+YwiGpcIdCZdR49TV9lY+KDMzt3a0tHs0pFbMhnkZ5R4jXWRy8Ha2cJvgjsA5N4vqiqpFfKbdfQ4rW1ZD8qyU/ItRpjYulr4jHMFgMyk3MDJ3oZmehQK9UFKnpWTma2rhX+oBwCU5JZnJOaNcLeER21ctq4WvuPdiJL5jUI9I57XWFcAyEkrJKraaQ2JAlVWcu8XqVTVwdMmI+GhW5BjRVGNd4hLSU4FncUwtTHC29sRQghpskELz0gk0ps7l5359fqFg5f1DA1sbO24TG5THb+koIihS1q4JZSr38aw3Qf+ir4al8njMkUi6dypgdMneKunycwplctb56re/cv58BDPUX6O/f56EEKoy2xNHX7fdP5u7p0bqedvpkebG1gpx2ZyubyDUO1u7LWrUX+TKZRv33/hre1/KlLaOHjYOHgImhrirp4KjVwEAJVlhW22sNi5WRVkleanF4UuCKZQyMZWhhWFVeWF1ZOtjRrrmogZTThcllQqq6tqNLY0UGyxsDdtqhMCAEBrGh0eSyaVAQCbx5JK5Mq7TG2M+fWCJ5/5iZIbapqIkml0Stdr2N5hUa+qs++I6H/j+A0CHT22k4/dw7RCHV3WCHer9kpACCGENMFg9j0jkUgRz4+PeH58XWVDYXaZRNRiO8p4qlMng1A/Pz9k0hiPxibhsk0/eDhZ2lgYqiTIyCmRSlvDs/fXzunHF4DQENezVgQZmQEglJEZ2AhB6MGAQ2Qy2c8h2M8hePWst/nNjcolnIo7eiHpxDjPySGeU0z1zFUyikWiUWHznD2D/vpxm3LfMwAoLci9G3dl3JSnAUAqUfTRUq2YnbtlwuU0QVMzm8eWy+WO3jZJ1+7zDHSA1NoYpciiWNHRZd9Lz1JsqSiqdvS2fTKNCijILFbsqiquMbU1IhKrl8zhsfMflSyVylrzd7mG6ivqVSWRSbpG3Ls3MkZ4WFs7m8ecSWbrMKY+O16bRofSnleCEELokc7DswH4R6ZnzFP0Qe86rg4r2Mc+v7hKj8v+9uC52no+hUJ688VINoO++5cLAJBbVLlh5fTt+09Nn+jr6WzZ0ChUTmZmpLv1u+PNIolA2FLXwH9/zRw7K+Po2PRLMfcFwhYfN5ulc0P645X24GD6OQe9OAP8nIO06IoCDW1MpiHw65hM1V9GUM9QyVRd9hOz2MdlXn9QnP6gOP3g+T3Olh4rp7/ubuNL7DW1tDlz5Nfjv39naGwhkcpIssdfDXFXT/kET35wP8nO2VsikbZ58W5mY5QRnxM8rbVAO3erqJ+uTFnS9jeenbvVjZPxyVfv05j0usqGEZ7Wam1iT5DL4cbJBGMLg+Kc8nGzAwXtj747wsPqxok7SVfvM1j0B3fzx0T6d6uGTDZd0CioKa/X0WUpVtSrCgAOnjbnDl1f89VzFCqFzWXWlNczOYwO6o8QQggNOg0aubFbmkXizNyy5+aG/HDkyoSRrhOCXc9dT/3+t4ufrJ+/9vlwqVQ+b+oT4xyqJ5NIZYGedrPDAy7cTDsSFffWqhkH/7m2+8OlXJ1uzIU9AAKcAwOcccxGpEHYDA6xRK369NeT9xd/lfQg7kbahdj0q5lFaWw6R7l8Oyf31e99se+zd6cvWCttHT0fACA59oJnwER7V7/jv+8ws3aWSmRykLdVMdLUJeMs7E0VuxhMeuj8UfYe1iAHBpPuEeyo2O7gZcvT16FSKQtfj8xIzJVJpPNemUohk5XTuPjbc7gskANXl+PsawdysHIyt7AzbqhpmvfKFCqNSiRus+RnXo/MTMyl0qj2HjZUKlWpqp3XkM6gh84PriysMTAZ8WhFV6WqIAd7L+vQ+aMYTDrIYeRkb0FTM7Y3IYQQ0nBDLzz7fO/Jk5eSmlvES+eGmJvopWYWvvpcOACMC3I58Fd0e7nUk7GZdAdbMwDwcbW+eD0NAAK87LfsOT473H+Mv1Mfzh6LENJ6bYZBPUal0IJcQoJcQlrELXdzbtuaOhLly+Xy7X+/62Hr19hcX1aUR2SRyaSZqbcnTF9SVpTn7jf+9JG9zp7BIJe3WTGP0U7KdfYLdVf8SWfR3EY6KLbbe1kpNjI4DMVAIOppnPzsFBs5eiwHPZuGmiYymaRotlJJ3GbJLC7Td4IbANw+d1dHn61c1a7U0NrFQrGRWFGpKgCwdJh+oe6KdbMRxtDX7xRCCCHU54ZeePb26pmTxngQf7aIpRKJFBg0GpXMoNPay9VBMvKjnhtrl4Yn3Ms7dj4hJvHBmy9G9FP9EdIgvbxS1bYL3V68nv45FAwqY6TzOOXCs4vuX0+9cD31AplEenC70FHX2U3PTbHLzc+3svy+Yt3OxUEsqfYZPX5A3yO50rIL4i+l8gx0asrrLR1NqVSK1p1OXadxJx5CCKFBNPTCMxXuDhbX47OmT/COT8l1d7QEAA6LWVha3WkydXxBS4CHnYeT5fKN+/u93ggNWVRJA7HUJr3p3jlgF8lWJiPemP/J9bQLyQ/iigXFJhZWEQuXa0LFAIDOoruPdOz6M9q4WBTnVBia6zt42w7nKAP7FSOEEFI25MOzlxeHfvXDmYs307gc5rplUwFgtJ/j+eupn+w+9t6rsztIpu6bn87UNQhYTPqzc8YOUO27ICErPjHzjr9LEPZAQxpCKKwhlqjVQF1is2isiV7TJnpN4zc3xmZcM+AaKT/1vfzk0prC0a4TOKzuDbbUJxhMmluQQ9cPhbGlwaOh8PGWQ4QQQqjVEAvPVj49UWWLiaHuts0Llbdw2Axiy8aXIttLRuwy0ud+uXkhALy/RhNH4U/MvPND1L4XATA8QxqCLxETS6Qw8MEFm8kN841UeeqTcUdu3b/0fdQXvo7BIR7hwS7jcQQXhBBCaGghd54EIYRQx+Qa8QhyHudjHySTS+Mzb3z774dZRWmDXiV8dPJACCGEnjTEWs8QQkgDacjNeaE+00N9ptfza2PSLyc+iPW0C1CuWNKDGHdbPwaNOYg1RAghhFDHMDxDCHWPjMwAEMrIOL2vEo2IzlrpsvWnBcyfFjAf4HHFymqLP/ljPZ1K9xoRNNZ90mi3UCZNs+Z4RAghhBB0KTzTpMuOIa/7B9PfOejFGeDvHIRvBNIQTKYh8OuYTMPBrohG0fTPZ5Ow3tnSI6v4XnzWjfisG+cT/vt8OQ5RixBCCGmczsMzTb/oGFJ6cDD9nQP9nQN7lhehzvTktFKMNsFmcPCsJGj+2OgO5m5fLP+xsr7s5v1LN+9fDHAaq1znJmEDk86iUtqdOhJpKo0/8xBCCHUT3tyIEEIAMCwudI11zeaMXjJn9BL5kwHloSv7rt+7MMp1wlj3yV4jAqlk/NcwgIbBiYcQQqjr8H8wQsNXLy8LteyqsjcvR675zWdqlOtcVlPEb268lBx1KTmKy9J9b+E3Tpbug1i3YaVXJ16f1QIhhJCmwPAMoWGsRxd3FElD6xKvDbXFB0t2FlXl37p/6eb9i+X1JVbGdoNdI9Q1+BlECCGtg+GZpkvIik/KuuPnHITTUiMN0SysIZbapeeXukOw8UyVpaHtU+NWPDVuRXVDBZPGJl4Rv7nxjR+WBjmPG+Me5mblTSLhbJl9buifPQghhPoOhmeaLinrzg9R+16cARieIQ3Bl4iJJXpEe66wDXnGyi8n8WFMVUPZmfijZ+KPGnCNpwXMmz/2+UGsHkIIIaTdMDxDCKFe057oTNU493A7E8eY9MvX7p0rrSlqasabWhFCCKF+hOEZQgj1Vo8DlgWfjenLevS/E7F/noj9c7BrMQj+fufWYFcBIYTQsIDTUg+sHhxM+aMlvhFIM8jIDAChjMwY7Ipokl50Prv42+Y+rMgAW/HWDwUl1QBgYaI/Idh17tQAA12dwa5U35v83Bfa0L8QIYTQUICtZ5rOzznoRQA/56DBrshAiInJ/fvvZAB48KDS0dEYAObO9QkJse9WITt2XJk61c3d3axfqogAmExD4NcxmYaDXZG+1ovL72F75f768mlX4zKu38ksqag9EhU7O9x/sGvUX/rxLR62Zw9CCKG2dB6e4T+OPtSDg+nvHOjvHNizvEPO6NEjRo8eAQDPP//b11/PHezqoLaxGRxiiVoNh89nW7xdrb1drV99bnJqZmFmbqmRPpfYJZZI/jp1e1yQi42FVkTyw/UtRgghNMCw9Qxpuupq/o4dVxobW4yNdTZtmkynU/78MyEtraS4uH7aNLeFCwOamlq+++5aba2QQiFv2RIplcp+/jmWQiHX1ws3bw63tTVQL2HHjiscDj0lpWTFilH+/taD/RIHGolEUqycPr26zQR/3iwbwOpoit7NDjysL97JZJKPm42Pm43yxoTUvJ//vvbz39fsrU0mBLtOCHazMtMfrBr2Xv+9xcP61EEIIaQGwzOk6fbvv7Vgga+vr9XBg3EXL2ZGRLjPmuW5aFGARCJbufJQZKTnb7/dnjDBadQoO6lURiaThELx6NEj5s3zuXw56++/kzdsCFMvAQBqa4V79jw12C9u0Mjb70hDBG+oG/ASW42xAW/aeK8bCdk5hRU5hRWFpdWbV80c7Er1Ar7FCCGEBkT/hmeTn/uiX8tHw8GNGw9pNMqVK9lVVU1SqQwAyGTy5ctZRUV1AoG4vl6YmlqyevU4AKBQyACgo8NwdTUFAC8vi0uXstosAQBmzPActJekGbZt2yYSiTZu3MhgdG+QD4qkgViiR/DiXZWDrcmbL0auWy5NTMuLjk2fNNZDee/D/AquDsPEUHewqtd9+BYjhBAaCP0YnsXuvdt/hQ8fiVnxiVl3/J2D/Hs0LbUPt92WEBJpNXTYiqIhLCx0164dz2A8Ple3bj0XGekxf77PrVu5ACAUtj0/MplMaq8EAMAmoiVLlrz99tuenp47d+6MiIh4Yl+HJ0WzsKZ1qennzsDR+I9RV5VV1Z+NTlm2YJz6LplM/s/ZO+kPS56fN87WsqvdyWhUiq2VkamRbqDXCMWW6tomOcj3/HYhNbNQn8ceF+TyVESwuYlen72G/qGhb7Fm1gohhFAv4M2Nmi4x686Pp/a9ANCz8Ay6fxvbiRMnfj74CwCQSKCrq/vxRx/Z2DzRpSQuLu777/fKQf6oN4Z8VHDwq6++2rPqdcrHx/L06ftz53oDgEwmJ5NJlZVNAQHWZDK5sLAWAGxtDW7fzgsOtpPL2w661Evop6oOLZaWlr/++uvly5fXrFmzd+/e3bt329nZKXZ1fMnHl4gVS627MtS6F9R9LS3i3KLKNnddu53RyBe+vXomuZu/baiUeSMhUyKRGxtwmXRabYPgxKWkqMvJP217aUj3TOudnp94eMoihNDgUr6WNjR0NjBwXrdux7PPZhEbe9AQguHZsNCt29gyMzNzi8pGT5xCo1LKSwpCQsalpqbo6j6+Byk3NzclNW3BoqUiiVQskaSlJF26fLn/wrPnnx+5c+fVxMRCCoX83HNBDg5Gs2Z5vfnmMTabbmdnAAAvvjhm167oM2fSGQzq5s2Tu1JCP1V1SEhNLXFympGaWuLlZQEAYWFhsbGxY8aMCQoKio2NdXBwAIDOrvpwMj5Vmt8K3TGpVHY4KjYzp9TUqPWTLpHKDkfFZDwsDfC0mzslsKCk+tPvjgNAdl755xufVtkLAIejYnXYjMR7+Twd1sqnxnN1WOplAkBDo3D3LxcAYPpEn7/3vvbu9qPVdU11DYK/z9xW5JJIZYdPxqRmFY3ydVCUrCE09S3WzFohhNAw0uf9+XFa6qGjF29ER7extcXcymbU+EkMOo1Bp/Eb6t977/31618n9lZUVBgamUTOeUooEjW3iIBEzki81fPKteWXX54j1rlc5nvvTVXeGxnpERn5RD+WbdvmEOvr14cqVgwNOVu3zmizBCLNMJSSUuLkFJmS0hqeKVrPHBwcoqKiiNazYWoYf9f99t9NOcg3vRS565fzRaU1APDTX1d1OMw3Vkzf9cs5YwNeSKDzy4vCWEz6jDDfNvemZhaymfTXl039Myrm9+O3Vi+ZpF4mAPC4rLXPh0ul8nlTAwGAyaTZWhrtfH/a4VOxilw//XVV2CJKupf3ML+8oKR6+fzxPC5rEI/MQBjGJx5Cmi8yct9gVwENtDxWPLDgjz/ibx1o493veG9OTo69/RMT9rZ3Cp06taq9CmDrmaYrrS5R2XL48qFrdy8Tf473CVsYtqS9vRRXY2j/NjY9J9eFH79PJHY2cHUxcElKKgIgUamU7MoHDyqz2QHWPx07+vtzZ8m1EmqtGACkUomA3/jl/z7nOZhJJNKcyqy8ltIPdh9yMXAhisqsycyqyVApGfdqwt7U1NYz6t/rZz/b/01RUdG056c5OTkVCKvswI5InFGSklXyuPuos4WPq4W3Yl1GZgI0y8hMQI9oaMtKl127k/H1O4t1OMwls8f8dPQaAJyKTl7x1Pj41BxDPW7Gw5KQQGfl9Op79bjs6RN9eVxWZKjvnl8vtFmmOkUuXR6byHUqOnmUrwOJRKprEJy8lHQ6+u4zkcErnprQ/8egE0P9LUYI9di3J9u9jEZaad9/8r3H4qctClw1t423XmXvacrjOYry8/ODg4Pj4+NtbW2JjW2eP6/P7Cjsx/BM05VWl3BZXB0Wj9hy7e7lxOx45TTK4ZnKXqr141li1W9jY1gan3hwgkgwQlhiJ2zMySmyc2VQKZSsiqx/Eo8BALjqtQDM9J0707d1quiKksKP9qyVlD+qlQH8c/WynbCRKCqPdSeXFa9SMu7VqL0/Hvv9PpSDFe2vtEuQduldgPFuj+8lyyq5ezz+d+LP2YFAhGdMpiHw62Tk7o33qO2G9sW7sEWsw1F9Q63NDSkUsqmxrokBTz1Le3uZDJpcJm+vzPYQuQBg6njvsDHuaVnF6Q9K7mUVmZtoSJ+0of0WI4SGp+qKih+3ba8qLx8TPnnu0qWDXR0tt379ehMTk/Xr1//777+9KQfDM01nbmiRmB3fJHw8iPl4nzDlBB3/GRt/klhXv42tpbhy1sQFRAJF68qpU+mN4moqheJp6UGnUikUysl/D3uPHOds5kakNLGwpjeRprmGszg6uQ+zC3Ny5k8Le7LdhptVY6FSMu7VkL0ff/yxt/csa//Xx6bfIfaOcwsCJc4WPrMDn/iTWGczOADApusAIgzxS3czI93UzCJ/D7u6BkGLSAwAXi7WUonU38OuzfQd722vTAUKmSIQNreXS1FysI9jsI8jADQ2Cam0J/5Pfb73pKBZNDHYdbS/E5tJ78aL7KUh/hYjhIanLze+6eU7xtU9IOV2XLNQuOjllwe7Rlrr/PnzqampCQkJI0eOPH36dFc6E7Wn8/AM/yUNLnPD1str4o14JmzJM0rNZfDke6Sy1/dDEgAUFxe//fbbMTExKn3P6rIzDn+4ReUZS0qu3Eyoo1IpPjYeIx19GTR61Gd7py2PNDazfPyMcnlLYfX8gLl0Jiu68owho/mTtUuU9kJamgVAKI1GsbLS09FR/wW94x7/Pd8rEHinppYEB9uJxdKioroRIwyVdolSU40+CV5C7BIIRIrEyiWrbez3Og/83mefjfL2fvxu2hvBLB/yrhr5hKTHp5KrhTfRXNYmRZCmTXrzXTfUvyeXLRj37U9nR/k5pmYWMhk0AFj51IRPvzuWkllUXds4a3KAq4O5cvqO97ZXpkKg94h3tx+VSKRL5oxRz9VxySKx5FZitrBZFJOYTadRR/rYr18xTZfL7puj0KH+e4uH+smDkPYbsp/SuupqmRh4unoA4O0ffDP6zKKXMDzrjq4MlAYAACKR6LXXXtu5cyePx9u1a9err74aFhbGZDI7L6Qt2Ho2LBw6dMjZ2fmHH37o4gTEZDKJSqFQKRQqhSpqEdbWVEul0orSIiJB/oMMfUNjNkenWSSSymTyJ089iUS6Zcu5iAj3+nphYmLhiy+OCQlx6OOX1I76+uakpKLgYLvaWsGPP8YohgZpbxexBQC++urSm29OUk42MBUeFIohhiIj9z37zhwAMKg+75q2ol4/ZL73kcGu2pA1xHsm+bja7PrgucraxhcXhhaWVgPACGvj7z9ZXlBSZWqky9NhAcDEUW4UMlmRXn3vwpmjDfR0AECXy355SVibZSqYGenu+mhpZXU9qa1c6iUro9Ooh3asjk1+eO12+p2U3NTMIh32QPWBHOJvMUKox4buh59nYFBXVy2RiKlUWlF+jrO319B9LQOp4/Gp29y7bds2d3d3RRPIlClTPD09v/7663fffRd6dP5geDYsbNq0qVvpySQSlaoIzygXok6Zmpnv/uA1Ym9zc7NILH7n068lUqlEIpVJZeqnnq4uc9myYABISyvdt+8GEZ4VFdVRKGRz88edVQoKanV06AYGHLFYWlMj4HDolZVNNjb6FErrhWB5eaNIJLGy0ieRQJGGzaZXVDTa2hpQqWSVQoyMOFOnPr4Jk89vqari29jok0gklV0AQGwpLq6/ciV76lQ3Gxt9lWQdVLhbh1STNXL9AUCn4S4JpHKgdJqeImkglkhBC/7hcXVYXB0WANhatM48waBTnezMiATGBlzl9Cp7rc0NFCs0KsXe2qS9MhU4LDrHyri9XColq+DpsKZwUn4CAAAgAElEQVSEeE4J8ayqbSwsrSG+KACgtKLup6NXJwS7jfSxp9P6+L+bFrzFCKHhhkQibdr25f4vvhTw+Q5uri+v+2Swa6S16HT6jh07iD+//fbbI0d6/pM3hmeazs8p6IVI8HMK6jxpO3ow5QKJTKZSKFQqRSRqPrh/z++//Tp+/Hhi7+HDh388+Lurp2+zSCSRSqUyWQdFGRvrENNAb99+SSqV1dUJvb0tFi8OLC1t2LbtooeHWXW1YMWKUXK5/IUX/ggJsafRqMXFdV9+OZtKJe/Zc625WdzcLJHJZO+/P722VrBixaGJE50kEmlVFX/79jnl5Y0qhRCNZsnJRXv2XJfJZE1Nok8/jVRvTyO2lJbWA0BmZrmeHqulRUIk67jCxsZa0vlKTDdqZtowmwvYTdl8HddO01Ml9cQStcKL9wFnpM810n8iYoyOS78Sm34lNp3Doo/2d4qY6Ovtat1nz4dvMUJoCHLy8Nyyf/+ujz54Y+tnXcxSVdqQEJ0FAHQmzcXPysLOUCWBRCyNPpYy+Sk/xZ8P00qARHLwaL0X/XpUWkikZ7euPUvyqpsFInv3Nu6THyqIhpA9Zw9FJbSOoH5560pGuP2h84eWTFnSftY2YHim6fydA/2dez43a3JD29cU7yzc18F8C7dvRNdWlpPJpIK83LlzZivHZgppdxO/+vgtmUwmk8krK8o8XJ1VElRUNKamlty/X3bzZs7MmZ4AcPdusUwm37w5XC6XL19+aNGigMzMcicn4xdeGENkcXQ0fuutcAD44osLt27lmJnxyssbt2yJBIDNm08kJRVaWek5OBht3DgJADZuPJafX5OfX6NSiHI13nprMgC8//6puLh8e3vV7xdCYKCNhYXuggV+yiV0WmFt8OjsaOL5M5sLdBoT+ZzOwzP17FqiFy9Hrm3HYkiaNMadQiZHx2Vk5ZZevHnPzsq4D8OzfnyLh3OvR4SQ5qkuq8/NKA+d411eVHdg69mnXhnv6vfEdymVRrl9OcNvnIOhGQ8ADu+OZrIZG3bMBwB+Q3Pi1exxMzy79YzFOVV1VfyhG54pN4Qwwu3Jpo9/vifr96R3NE5LjVTNmjWLmJ6Yy+VOmzZNJcHYsWN37fxWeYu1teo1kEQiS00tuXEjp7lZHB7uCgBFRXXJyUU7dlwBAGtrfbFYGhxsd/x46qZNx2fN8goJsQcANrt1HDYvL4vi4no+X+Tp2fpZDQiwLiiotbLS43Jbu5pYWekJhWL1Qgi+vlbKeTsIz9rUlQprjQrTpxt0R9fpqcbhw0yv4rN+IpPKkq9m3L2RJW6WkkkkCwfjkdM8jSw0ZKz5TtQ1CHQ4TKrS/Yf9ysRQ9+nI4Kcjg0sqaq/GZUwc9cTNzBdv3tPjsf3cbSk9q08//ivE/7IIob5XVV6+66MPAEAmk2Wmpnz1zmYAMLWwfG7N2k7z6hvruPhZu/hZU2mUlFu5KuEZALj6WT9ILTE04wmbWkyt9Our+YLGFjaX8SC1xNnPCgCqSurvx+cbmut6BNkCQItQnJteVppf4+RtYeVgLJfL87MqCjLLDcx0PUfaKpesnFEqkd08nTZ+ljcANNQIcjPKfMZo3NVXpuSJ7/BD5w9dSXw8/3Cof1h3m84AW8+QOhcXFxcXlw4SWFtbq8djKiwsdBcvDly4MGD16iO5udUjRhjq6bHGjrVfs+aJAGDHjnlZWRW7d1/T12cZG+tUVTUpttfWCvT12UwmNSOj9Q66ujqhg8MT3VcUv1WwWDSVQogEEolUsdLQ0Gxi0u0bETutsIfHUP2ZR12d/jAPzDRU9H+3r0cluQa4jZ4y3ljPmMvQrSttuHUwtqKueOE74Tp6AzFiYQ/kF1f9dPTax6/P2/3L+fAQz1F+jgNcAQsT/UUzRytvkcnk+/64VNcg4OqwRvk4TAh2DfS2H7C4ESGEBp6Rqekne/8HAM1C4a6PPnjzsy96UEizQMQzaON/jau/ddL1h8HhrhlJRS5+1k31wvSEgoCJTtmpxf7jncoKao7svhoyw/P2xYyqkvoJs70zkgprK5pYHPrPX5x/+cPIlJjcqtJ67zH2jbUC5WLVM965ku0b4sAz4KTE5JDIQ+BLe8mUJT2Ix1QMgdeJhi4ymbRwof+hQ/EA4O9vnZRUlJFRLhZL8/JqAKCkpD4rq8LOzsDNzbS4uB4AiorqkpKK6uqEt2/nBwfb+fpapaSU5OfXVFY23b1bHBRko/4U6oUQ0tJKc3Orq6r4t2/njxxpR2yn06kCgUilHB0dRklJvUz2+CeQrlR4qJP36CGh6AKAhKLbs+ya+ejtkeypDso8+fOV1JSHk5ZPcA1yYrJbx1y1trNa8dKKjWve++2dc0J+S68r3r/eXztn4GOzNrWIJbMm+dtaGDU2CS/cTPt0z3GxWKKeLC2r6HBUrPoDAE7e+SOzOKXHb3QPToCuGPQPjuY8EELtkUokhTk53cqSEJ117s/49bP2xV3MGD/DSz2Bo6dlXkYZAKQnFLgF2HiMtL13Jx8ACrIqbJ1Nbp297zV6hL2bWehcn5SYXADwGWM/cY53cLirzxj73IwyQVOzgSnX1d86OPyJLhXqGb1Hj0hPKASA+/EFXlo9qrayfmw9G/2qT+eJhpmY7+52N0tidnxS1h0/5yB/p573QBtgJBLJxaV1ELYJE5xu3cqtqeEbGHA+/jji6NEkkUji62tlZ2fQ3Cy+evXBX381enqah4U519TwHRyMEhMLz55Nf/nlsUZGHADYtGnSn38mUKmUDRvCuFymVCon7lG0stLjcOgqhTQ1tSgS0OnUGTM8T5++19TUsmbNeAMDdl2dULFLT48VFGTzxx/xEREeRGkvvDDmt9/ujB/v4OZmptjIYtE6rvDAH1gNIaHyiCVq1deXh+IWcfzNtLGLgwEg+ujN8dPHXrsSw68RhkdMGjVylJ6+3rtvfvzTjzvnrJvQQSHRsemXYu4LhC0+bjZL54a8983RV56dbGGiH5f8MPFe3uolk7bvP8VhM5LTC19aOPFKzH1i3dnO7NuD52rr+RQK6c0XI82MdNXzbv3ueLNIIhC21DXw318zx87KuKaO/9WPp5tbRMJmsb4uBwC27z81faKvp7NlB4mZDDqZTPr0jQWKOv/2383UzMKistqIUO9nZ49VrqGdldH2/acb+EJTQ947r8yi06gqiTs4FCwGbem8kKXzQnIKK67GZbSIxCylKa35gpbcoip3J4vEtLzkxMr8ypJ6QaNKCUdu/jAv+Hln8zYuUxBCWm6I/wDw94ED1RUVJfkFFjZt/MzdBjmY2xo6eFr4jHXQN+KwdRjqR4DOoOobcytL6msrGo3MeHI5rzSvura8UdeQQ6GQG2qF1WUN4hYJAASGOoMcinOrzh1O4Omz8zPLjcx1J87y/u/ArU9fPDRpvt/Y6R6t5ctBPaPPGPuoX+P8QhylEilPnz1A78Wj+rT9dB3v7Qv9e3Pjxd8292v5Q8vk53rSrJyUdefH0/teABhC4RmVSlbMIQYAZDLp3XenKtatrPTWrw8lktnbG9nbP3G/IpfLXLnyiVuS3NzM3NweD7Gtp8ciEsyb50OUo55AT4+1enWIclHKeRcvbj2YxBYPDzMPDzOVjZ1WGGmT3nzN9vm4ESW5lRyzNiZv4Oq2jlVoZWXZXCPtuJCD/1zb/eFSrtrsYcpq6/n7ty4HgCsx94n1r388PWGk64Rg13PXU7//7eIn6+erZ5RIZYGedrPDAy7cTDsSFffWqhk/HL4ydZzXhGDXExcTo67c7VnieVMDn5s7ViyRLt2wb/Ykf+Uabtl97OkZwQEedgf+ij5/PXVGmJ9K4o5fqYK9tQkxgj/h2p3Mr388bWzAtbU0nhkw9bXpz+2/eOTrqJ/r+E/MHiEHeX8MEDLEL/wQ0n5D+kNaXV6en/Nw3/GorW+s+/zHn7symrccwMLO0MHTwtLe6Ms1R8Lm+enotfHt6uJnffV4iqW9kRwASDDC3fzckQQXP2s5gJE5T9eAExLpSRR4/q/EqYsCLewMf/78XHlh7eip7ks3hgsam3du+s/zUZtYmxmNLfUaagX34vPdAm0H/o3o+Bk7rc+h84eiEy9P7H73s85vbhwSdxrUNQgk0o6Gd+/DXL3R4yOJ94Gg/sbmZ7mlLXPMenOwKzI09fVH0djSQFgtJP68eCS6obZx3vOzbEa0dvtsbGgkMzr5KAd42W/Zc/xmQlYHN9HNDg9QX0/NLAz2dQCAcUEuGTklbWZkM+kOtmYA4ONqXVPXBAD3HxQrcvm42Zgb6/YsMZlMunAz7fdjNwXClrpGoXKtrt7OuHA9dfv+U5k5ZSXldW0m7jFTI15lTaPijkcuk7NhxorMb89ueWadHkeplbjPv4jxuxgh1M++37rl5bfe5urqTpv/1NGffuxWXiabPmaa+8W/EwEgITr75MFY5b2u/tY3z9xzC2xtkfMYaRd3McPF1woAxk7zuHYyNenag7S4vMykQgCwsDO8fjI1ITorNTbXyFw35nx67Pn7eRnlJBKJTCHr6LFL8qobagTqGQHAxdcq6pdYr1Ejen80Blh04uX4zPhopZFCukhLhgbpoAN6Zk6pXC53dbDoVi408Oh0ancHV0S99vjyUEahG9RcFNONunPNiFeXrfr8QLC5TAszk/KHlTpuvIlPjeUyeFw6j8toDWOkUumnn30SubGTFvW1S8MT7uUdO58Qk/jgzRcjAEC5d+UjJPX1FrFUIpECg0ajkhl0mmJjW3kBAMiP+mqLJK25OqgSkVgskbWZ+KOd/82c5Pd0RPCNO0RU2VorS1P911dMY9JpHSbuiekTvKeN98p4WHo1Lp3YqAjSXpr8DNGSVtlQ/l/cLz1+ljblse6fvlvX07zZJ+JVb8IctvJYGVv/xW8k1PfyWPH/O9b3p1aAa1Cga7/fFZUUc8vWycnEwgIAJkZEfvr6a6UFBead3eJoaK7r8ajH/rgZXrfO3pPLwdLekPtkG5qFneGUZwKI0fCdvC2nLgw0MtcFAD1jnVc+nZV2O5choVnZWwJA6Fzfe7fzBE0tG3YskMvlbC4z935ZfQ1/1cczdHRZzr5WTXWC2spGWxdTlYwA4DHSLjU218DkiYkutZuWhGfvr53T3q6MnBKptO3wrINcaOAp33yIBl4z01ZMN6aJKpnNBc3Mjr67tXZa6t78/+31GA/qXvhgwS+fH4u5f2fUtGCueWsbjkwmu3U95sL5szPXjTU01+u4BL6gJcDDzsPJcvnG/QCgz+OkZRVZmRlk5pZ2fOOAu4PF9fis6RO841Ny3R0tu5jX7VGuzNyy2np+x3VzdTBvM3FFdX2Qtz2ZTMovqVK5CcfPwzbqUvKC6UEAIJPJyWRSB4m7i0QiuTla3ElR7T2vCNIWjJo2bevK6sayGxnnevMsbWBB7t34nudN6Gle7cOCrf/h0UD9gAX7jvf9qbUKYADCs7KioiWrXyX+fO2jTxJv3ug0PDMy4xmZtf7TYbLpYfP8AMDMxsDMxkAl5bTFQcQ6jU6ZuujxK9Iz4oREeCrv9Q1xUM6rHG6RyaTAMJc2MwJAWUGtz9gn8mo9jQ7Ptn53XNgiFghbGvnNsycHxCRlF5bUTJ/ovWjmaPXu4212QDfQ1dn9ywUAyC2q3LByehdz2VkZKyrQ9X7n/cfPOWglgJ9zUOdJEeqdRq6PQfVFncbkTsIzaQOxRAr98aM9iURa9s7cqpLac4duJV1IopJpFDKZTAav8Y6rv5tHJncejXzz05m6BgGLSX92zlgAWDA9+JNd/125dR8ArMw7aql+eXHoVz+cuXgzjcthrls2tYt5X1oUuu1/UdEx9w30dAz02ug412ZiMoWsx3s8avO8qUGvb/mdzaSPsDZWybLiqQnfHDgTn5pDoZCXzR/nZGfWQeK+0tjMJ1rPQly95ozs4yGv7l697xbs1LO86XHZXiHdmUdeq6XeyCA6FSPUh/74I37qwr48te5kxCdkDtBPCdOfelr5T56e3sTIGQPz1H3o7q2HEc+OHOxaDCiNnpZaIpUFeY+YPTngxMXEk5cT921ZLpZIF637fnZ4gHr3cSKLSgf0tc+HS6XyeVMDoa1O5+3lUmzvQb/zTnT/YPo7Bvo7BvYsL0Ld0sj1M6i+yG1IrjKeNdh1GWr67eNpZKG/ZGNkz/K+v+aJGwRsLQ0PfPmC8paNL0W2uW5iqLtt88Iu5jXS5365eSEAmBnpfvPukjbTdJA4Lav40q00IsvMSX4zJ/m1WSueDuujdfOUy1dJ3LeUA7PWynNN5wQt7dtnqT/7T4TP9J7lFUafmRU4u2/rM3Q1Xjj+7rxVg10LpIVuHdj38pw+PbWO7R2w8Ew7OHpZWtgNyc4vE/3DiGW3aHTrGZtJd7AxAwBPF6uEtDwSiUSnUR1tTesa+Po8zoWbaUWlNSo9wpU7oF+8nqZSoKIfeddzqaTvg/AMIY3yZFBRYbKgTj+Uz3HtarCBPxk8hseie1pEEjKZRKNS4pKzfd1tB7s6T1APzBTkclm9oFqXrXp7z2DC8w6hAdBPHzT8/HbNxFneg3asOn7ezmq1JHzJkvAlXUmpQqPDMwJFaZpwxS09nfYIJ7c1s3h3c/VVv3OEhgQRw0LEaKOXJuoUfj10V35x5Xe/XWLSqXbWxuOCXAa7Oo+dTLi85+zv6vOeAUBmScqFlGPPjV87yrnbP4Ui1H9kMll9/ePOwHp6eupdMZuamlQuY7jcYTTQAkJDy9AIz9R1vUc4h8UsLK3ubq6epUdoOJBQeAC1Eor2TUuNMdbAcR5hvvODZwe7Fqo8XKxEYok76KtsPxwVG+H7TEZZikDU9L+Ln98rSlwc8gqLzm6zkO7DEw/1Snl5uZWVFYvDAgCZVDZq9KiTx09yOE/0/9TT02MwGQCtMZpQIGxpaaHT6W0WOMBSU0tSUtqewGPQeXvjT5ZoEAzV8KzrPcJH+zmev576ye5j7706u7v9yAeg33mnErPjk7Lv+DkFDaFpqZF2k1B1iaU26d3AjdpwhV3XINDhMKmUzufD1FYBHnYBHnbq2w9HxS4YvVIul1+5d/KvmP03Ms5ZGdpN8W5jtu4e0IZTBw02rh53zuYpbBabSWdF/3Fr01ubvtvznUqan6O/bxY18wV8voD/9vxPev+k+VUlBy4f/eTpdSrbGwRNUUnRi8d2dQiKlJSSP/7Q2L5YgdDXH1Ll+WyRZur4PRqAd1CjwzOiU7itpdHHr7f2CP9849MAYDFJv83u4+od0DlsBtHHvb1O5+q52kw/KJKy7xw4vW9lBGB4hgYMVVKvfdEX6lTXp4JUn0/ywF/RdlbGk8Z4dCVxp/KLq346eo342tcQJBIpzHOWq6XvhZT/JnnivCxIs9BpdBqNzmDQpz4X9t2GH2tqq9nsxw28JAokx6bZe9mKxCKRWNQnz8hjcjytndW31wka/7h+suvhmYKXl4WXlwY1VaWmlqSmamibHhoqDp0/dDXp8gS/sCVTlnSeWolGh2dDVFpWUVpWUZu7frvwk7eDn4/9IId8CCmo//DDaC7ySZ4to7LjA6/3IPvQ1ovXoxWNZ92YCrKD+SR7mVhjEW+xuZ7N0vHroA/f9N6ceH1UBTTUkQBoNDqdRqPR6Cwuy8nXIaHulrHl49t0A19x2/X+d+/9bxOVSRFLxCrnToOgKe7BXZlc9qCsYEZAqK2RRVld1e0HKbMCwwDg5yv/LB43s0Ukis1OlsikD8oKZgRMtDexppApEplUUUJWaV70vThdNjfCfwIAyEF+Juladlm+ImVXXoKXl8WSJRr0M/ShQ/EYnqFeupp0OT4zHgD6PjzDb//uSkzLS06szK8sUe9cvvf4zpURq7x7FJ7hG4EGgIhhQZEL6cIKmqhSTB+0e3qHIE38gKrM3FhTx//qx9PNLSImg04mkz59Y0HXp4KMjk2/FHNfIGzxcbOZMzlAeT5JlSftePLJ7ftPcdiM5PTClxZOPHYh/pVnJ1uY6MclP0y8l7d6ySSihsJmsb4uBwCqahu37z/dwBeaGvLeeWUWnUZVLqGJ30zUaunckH4+nO2+xacS/2QxOKHuM7GLMho0JKDTaDQqnUaj0Wl0a0erXJHAZdYTM1jWZDQm30z1Hu+u3npWJ2icvf2V7c9u4rF1Ij5/8frHh0prK47HX1SEZweu/DM/eGqdoHHOV6/uXPYug0ab/tmLiV/+R7SSxWYnv/PnjjdnriitrZTL5ABw5V7czIBQIiWHgQNfI9QN2HrWL2YGhL02/bk2h2ZGSJPJSeQmjpdu/S1u090ag8ltpqFK6oklaqWJ0ZnqzI0/HL4ydZzXhGDXExcTo67cVU9AZFSfCvLgP9d2f7iUmFxEeT5JFR1PPgkAtfX8/VuXA8CxC6q9TdRruPf3S0/PCA7wsDvwV/T566kzwvyUS1i28X/Ktepf7bzFFfXFx+N/k8qkd/PiVkzcoFnD7qNhhESjtcZmilsc5Y2qpyzHnFFVXiWWiMVisfrpHOoR/OrUJQBw50Hqf7cv+o9wV3+OUI/gFyc9DQAXUm5lFOcY81rP9tqmBn0d3ni3IB0mGwDqBI0T3INWhS8iUgbYt3Hb81CCnc+Gmz7vfNbN97oLXcDlPX30A7FEklNY0S9FP1Je1dCgNCVaj3GZnA0zVmR+e3bLM+v0OEpj3HXzMPo6Bq2cvsrXMajnb8RAvTtIOzTy/AGA25DcXgKqtIFYIgU5yHv26NdaKWZu/P3YTcXMjfcfFAf7OgCAj5uNubGuegIio/JUkDV1TQAQ4GW/Zc/xmwmdTzGinlfF7PCA9vKq1/Dq7YwL11O37z+VmVNWUl6nUkLXa9V77b2DxroWL09+R4fJSyuM/+Doywm5NzTnBEDDBwmgNTaj0ug0Wm1FHceCqZKm/qHAxMpYJBaJ2+p7RoLWtl//Ee7l9dXtPEtrGhNdQ5FETGyf4hPiYj7CZ9Os9b98LpZKAIBCorSZEiHUFUOs9aymTvC/Q5eVR+/oW9//flEml5sZ6S2YHtQnBSqCtJcmP0O0pJXWlPx0eq9ir++T4zEmZscnZ98h/lTsVTz6pDIIdUUD109GolMw+uoWjbzMVpm5USyRSSRSYNDaS6BeAjEV5Nql4Qn38o6dT4hJfPDmixFdefY2J58EAIDHdwDKZE88qUgiVamhpan+6yumMek0eAKpx7XqufbfYn+7sY4m7gevf5uSH1dck+9vN7Z/a4JQW+hKrWeZyQ8o5bLGvMe/uTQLW8pTaqyftRSLxSJxG/HSlftxipW0wmx/ew8alVrZUKPY0unvCBQy+bNFb3z01NoVe985EX85yMGrj14TQkPbBL8wYtktQyw8UyaRyvKKKo0NuLpcdmZOqb2NCY1KAYCMh6WuDuYAUFhaQ6GQLEz0AUAskZRXNerz2OXV9fbWJkQhZZX1LWKxjbkhiUTKLaz891z81+8uNjPS69uqKoK0BaOmTdu6sqy65HTcCcX2lfDEeIzJ2XcOnNlH/KmyF6GBUasfGjMmQ06mdZ4UPaKR0ZnqzI2uDubX47OmT/DOzC2rreerJ+igKL6gJcDDzsPJcvnG/fDkfJKdai+xPo+TllVkZWaQmVsqkcoAwM3BQqWGfh62UZeSFb+XyWRyMvmJSqrUql91/BZz2fprpnx0J+dawIgQzTwZkJYjkWjU1tisILNQ2iJ7Z8n7yh/qVatXvfbNy1QWhS9obrP1TC6Xf3R0t6e1c0x28ifPrCOTSFmleT9ePgoASbn3O37yq/fvJOSmeVk71/EbdP7P3n2HNXW9DwB/s3fYe48AsjeIiruKe49qtWq1am1r50/b+u1ube2y2mpdba3btmrFva0oyhBZAqKy9wgjIWT+/rg0RkBmIATez5Mnz8055557cm8C98259xwm3maGUJMFYxcsGNu5QUEI+hqeZeeW7j5yzdSYl5Se++ayqPPXU0YP8Qr2caoSivYcvfb1unlfbjspVyiENWI/T/tF04dWCcX/99VBS1ND30F26vDsh1/PNkhkjVKZXKH89I2ZeUWVAHA/u4hCpliYanPK3TqJSN175uUSvEywkkj3FzzVR+cvCFn29EsttgGhVrR2Iqki0Z6V9dRaeJWspj45dGOzmRtXzB/59S/RV2+lkylkQz67ZYE2fLfnjLBWzGLSF04bAk/PJ9ksZGpJs7Bm+qyosE9+PHblZjoA2FqZaLbQ2JBrbMgBgKWzh3+3+0x8yiMKhfzizGECR8s2WtWz2jvEJIBQ50jNkgqlAgAoZEpPtqoH60Z6RKVUKRoVMrJCKRH9senwN19/M2/eU9cZrVq9ikqnCCtrxA1icYOoZQ2Rg4LDXP3yKotOvPMzm84EgNPrd56Mv+Ju7XTo9e8ZdLoh8J4fNpkoPClwhJ2JJZ/FJVJ87AX1ElFWcc7n89/wc/CoFdc3K9mzb77n9dD3DL++fV/bx2iAznvWBlcHC2ICtBvxWZdvpQ8Ldb+d9DDYx+l2UvaQYMHd9FylUrlhzTSlSrXwje3Ef25hrfiP71aR//sxKeNhcUl5zcZ35wLAW18cSEjNGR7mseeo0bxJ4Vpsp2ZgRqRYGVsvnbCq1cJ4HSPqdV352yKn8gGq5VQ+/nNR65s7ouXMjd+9vwAAUrMKL91MbVmgjakgN6x5asx9zfkkCcvmjHjWupqF1bkA4GBjsvurlzQrsTQ1IFqoxueyPnr9qdnPNGto1qoe1YVDHH13/92cWy+NfNfG2En7DWrSNz96qFeRyWSVUvXN6p8AgESC1157vVlsBgDmZmZ7NhwAFRC/HxgaGjbrMKeSqVEBkZopzuZ2r09YpH7JoNLVU5lNCBhOLBApxlzDiYEj1CX5bG7LkgihjtPX8EylUh07n/A4v6y0otaAxwr2cfr9738BIDbp4WuLn4tJyEpIy9m04xQA2Fsby2QKAPAW2JI1/hhl55b6uDfNxRHs42aiVSMAACAASURBVJxbWB7so83/oC0DM4T6BzmVr37uT7o1vIQ+nCQ3SuVkMolGpdxOeuDv6aDr5uibTh5imUIa9/BaaU3RlyfWzgp9afigSc+6fLQXxjVB/ZuFhYWwWth2meLikt5pDEKo+/Q1PLsQk1ZZXf/WSxMyHhZ/uPkvOo1qa2n8KL9MIpGaGHGNDDiRIe5rl4xvowYmg3Y/u5pYFtaKXR3N2yjcWScTLm89u6/lvGcI6QuGtIQtflBtOEzXDdEXenCGnVtY/tMfl5h0qqOd2bAQd103R+907hDTKLT3pv54+NYvNx9cOHDz5z+ObpReyWm15OnTAAA7zzzqdgsR6iJD9pMLFxFC2rL/wv7rdy9HBozq7B1oehaeMehUkaSRWKiuqa+ta9h34gZxZX9kiMeOg1eCfJ0AIMjHacehK+nZhQJHi4Li6lZvqwj0dvj1z2s5BeVsFv1uWs6CqYO11Ugvd1upTO4JRs3SD0XHLhy71MelK3NSI9SbyMrG4PghoFTGhicrqDxdN0cP6EX/h5uT1eb/LdR1K/RVFw4xk8ZeHPmGr0PYvhs/VleWttFLhvNZI93SvBwRtQJvPhuwunfz2fW7l+Mz4wFgwRhth2d96sNjyGeH+rnsPXZj/uTw3IKKTbtOh/sLPFysASDUz/nTrcdff3EcALCZ9M/fmn04OrZRJg/ycnSyM6PTKM4OT/WPGRtw31s95Y/jMTQqZd3KiXwuCwCIqropyMsxyMuxZfqh6NiVU16HPrZLEWpJSWbUsz159fe4orQaA23ejYnQQBPgEOFiPmjNbl8A+Prrr6VS6TvvvMNgMHTdLoQQQn1UB3rP+lgwsWj60KaFGUM105VKlbuzlZV505j49tYmmneQGxlwXp7ffNoBL4Gtl8BWM2X9qh7u3O9jOxOhZ6njB/Dq7/HqElqGZ1R5rfoZEfD2oX6vO4eYxzQket8WLFiwfv16b2/vzZs3T5jQwxO1IYQQ0k96dnFjG2ISH4T69tzoWAj1Q22cb9Zx/QGAV5fUsgxFXks8Y0SCUKfY2Njs3bv38uXLa9as2bZt25YtWxwdHQHAxMTt/u2HXagw+Uamlpuoz/bvj39Wlq+vtY+PFq6OQQihXtB/wrPS8pphoR66bgVC/UQdP6iO6ytiD9J1Q/QDdp71e1o8xKNGjYqNjY2IiAgJCYmNjXVxcTE2dsu4k92FqlJjMDx74sCBZ4ZnAMEYniGEellkwCj1c6f0n/Dshek9Py0pQgNGA9MhyT9a163oXd06/8b4rN/T2iEmes9cXFyio6OJ3rOqqiyP0Nc7W0/GnWzvITgCZ5PUmMznn29l4tCUlKKUlKLebw/qT7T7913133N3qg1+yU87rRkw4nfd63jhto9Rx4/g82MWPD9mAXT+WPfp8Cy3sNLClM9k0FrNLa2oZTFofB5LuxvtoWoRQv0ZRmf9njYOcWFh4fr162/dutXs3rPKyqxBoS6drS3jTrbPUAzPmqTGZC5Y0Ep4tn9/PIZnqF+6+Mc6XTdBb4x5YaOum9A5fTo8+/3vfxdOHexsb9Ey6+d9F5UqlaWp4ayoEC1usYeqRag/UVD5ANWK/jctdbfW7fraevdvY2DqziFW279/v5ub286dO1uO3IgBPkJ9Vx/sPkOd1am9ra3us67qo+FZfnEVm0lvlkKhkKzNjQDgcX753+fiv33/eUtTw5a5Mrm8UijiMOklFTVOduZUCpkok1tYyWUzTIy4LVchtKy2pLymUSaztzIhkUgyuby0os6Izy6trHG20+Yc1gjpTJf+ssip/KZn/Nei1tVd8fPik1ptB+ox2vi0v/vuu1qoRRN+BxFCqN/pi+HZl9tOqlQqhVJ5/U7GwqmDiRS5QiGsEft52i+aPjSvqBIA7mcXUcgUC1N+s9wqoXjhG9tGR3jJ5IqKqrofNiwsqRB+/tM/Pu62ldX1K+aNNDNpvgqx3WbV/vDr2QaJrFEqkyuUn74xs0oo/r+vDlqaGvoOssPwDA0QxtWX+HWJuXZvqEh98W+FtnX9VBdPklG72pt7Gj9ECCHUrxy4uP/a3cvDA0Y9r/VpqXtZ2oOCmjrxxnfnAkBOwU4AuJueq1QqN6yZplSpFr6xfeG0IcPDPPYcNZo3KbzVXAAQOFoSM5it/fSPnMLyx/nlbk6WK58fTWyi5SpkEgkANKvNeFhcUl5DNOOtLw4kpObYWZkIa8V/fLeK3M6/WIT6D6ecL9jiB5XG4+q4vrpuS9+GQzeiNu05n9Nq+p8/nJm25rnebQtCCKHecO3u5YSseADQ+/DscX65j7sdsexgYwYA+UWVCWk5m3acAgB7a2OZTMGgP2l2y1wA4HOYRK6dlYm4QTY4UHDsfPwbn+2f/lxQZKhH2xUSsnNL1c0I9nHOLSy3szLxFthibIYGlDquP1v8gFeXiOFZ2zA4QwghhJBWtB+eaetHYblMkXA5LfXWQ6VMBQAO7pahUd6GZs1HF2Ay6PeznxpkyciAExnivnbJ+FarbTsXSCQAYDPpWz9anPGw+PtfzxgZcNpZpakZtPvZ1cSysFbs6qidqxnxF3akX+p4ARZlR3l1SWD1JJEqr1U/oyb41UYIIYSQNpB7ZzNn9/27cfWewty6yIkjZy6as3jZS76OQy9vS//t/ZMScaNmyUBvh7vpeTkF5WWVNdfvZABAkI9TQmpOenahTC5/nF/erOa2cwmFpdUZD4ud7My8BLYFJdUdWSXQ2yHpfi7RjLtpOWF+nR7yGCF9oGr7UcsLAABeXaJmIkVeCwAUeW27q+vVo5urqvCBjy48uvnB0/W3pk89EEKon+iNixsPbj5d29gw+sVIHt2AzqADAIlEcnR18PHybahu/Pqdz5d/P4X23+WFxgbcdSsn/f73DWND7uIZw5hMOptJ//yt2YejYxtl8iAvRyc7MwDwcLEmyrfMpdMozg5NnV12VsZcNl0ikV2JvX8o+paPu+3Yod5UCrllhQR1tcYG3PdWT/njeAyNSlm3ciKfy1IolOpqERogxGy3YqtFeGVj+/DkECGE+qke+gOP/zd6U9f2dttrtVvn8IBRxHNnt97j4Vm9UJyV8ThidigAXD16IzJq6PUrt0RV4rETxoSHDTa3MFu74p2T+/aPWxquXsXXw87Xw06zEntrk3dWTNRMIUb+aDXXyIDz8vxRxPKcCWHEwiqHUW1X2LJaL4Gtl8C21WoRGiBUJGq286e6bgVCCCGkOxif9QO6iM/mj14wf/SCLmy9x8Ozx+kFfDtey3SeQVPioEGDfvu7rqebgRBqqZv/GvrZf5buvB2Vqp/tDNR7uvXB01orEEII9RU9Hp5ZOZqJyhrULy8cvsKkM2cvnmlv09Q/Vlpayjai9XQzEELaIqfyAaqJyakRQgghhJAW9Xh4ZmptxKOxKwuEXBf+iNlDeQw+j8Hn0Q2IXJlU9tnXH8/9ZHhPNwMhpC0KKl/9jAjYeYYQQgghreiNkRvXfPl8TXb17eMJolqxOlGpUF65cGX9hrcnvR3GM+JofaM3Ex+UV+LA3wi1qWMjotkU7fFJe4HV8OipMdJ0Pk5b3xr1TedvAB96+sDPXZ/YkQghpHUHL+5f+c2ygxf3d3bF3hi5kUKlvPzJnJLcinP7b8ZV3aFR6CQgUajkwDFuq36aQdLeRM8nLiYoFKoZ44IBICY+i89lm5ngD/wIdRe/Ns5IeJ1fm9DAdNZ1W/oo7D1DCCGEdCs1qyA1q6DVrN/P7vFzDfB3DejN9lxLupyQFQ8A88cs6NSKHQjPtHTaYelguvi9KdqpqzViifT3v28oFEoKhTR1TBAAlFXWnLhYYsBlDw/zIILAlMz8zEclfoPsBI6WPdeStuA5HNJDdVx/s8rT/PqkUvPZum5LT+pWjIXfbdRVGNwjhJA2JKbmJCWW55YX1YibDzq49e/NKyav7OXwrMvav7hRXy40oFEpob7Oob7OPm62ACCsE//2579GfM7Z68lHTt8GgLPXk/86G2dsyPlu99msx8W93kAAXV/6gZeBoK6p4wVC0+TUAAAURa36GTXR+VcaH3r6QAj1eVqfkL77daJnmRw0KmvzuU/nvm7IaX4BnRaPUQdra2PTbeuNe896B41KGeRqPcjVxtneAgAMeOy3l0+IDPVYNmf4vfv5AHDo5K15k8K9BLajI7xuJmTrur0I6Y06ro+KROWIMikKEQBQ5bXqZ0TQ+Uk+PvT0gRBCWiQRNzbUS3TdCh3jMTlvTVqa+cPZVoM0vdAb957pBAmATCYDgJEBRyFXAEBBSfWde4+ABADg42Hb9uoIITUlmXnfbWsD01lJZum6LX0V/piJEEJIRxKvpl/9O56konLYXAaNKZNIlSALGOMWMt5L103TGSJIWzFm7o6Lh7+N/lUoqk15nLLq22XqApYm1tYm1uqXRZVFJZVF6uVmtSVkxSdmxhHLiVnxbeQCQKB7SJBbMABE+o9SP3dKfwvPVCrls7I8XW2Ghbg72Zn1ZnsQ6h8qTKJ03YQ+DYMzhBBCvU+lUm35v/1MQ87I54fzmYZcOp/HMOAx+Dw6P/bqnV3vnljyxSQKldL9DSlVKmGN2NhQ+2Ot9ygiSJsVPn7858vySh63jLs6KDEzbmf09g7mLgcgwrP5oxfMH925QUEI/So883C23n7gssDRytfDrmXuvMnh3+w6vWRWZHlVnY+7ra2lce+3ECHUZ3UrxML4DHUVfnYQQl12eMsZvgvfZZCzqEZcV9hgZQHRx8+5ClynTp8ydtxYHw+fw5v3zHhrZPc39Div/Iffzm75cFHLrOPnE6Y9F6R+KZPLX1q3+/dvXiZePsor3fPn9c/e1M3QYnUSkbr3LNxriJVGd1kbvWdEbqB7iPploHvI8v+WE7PiE57uQNPMJV52s9n9Kjxzd7ZaOC3icX6Zt5vtkGA3CxMeALBZjDHDvAEgIlBgZsy7dz/f0szAiK9n0T9CfYecygeoluO01BpUeI6NEELdkJJStH9/82vGOsjX19rHx7plekpKUXJyF3tLUlK6uGIvy0rPDZ7lBwB1VfXVebVsGudxVm5AcNP4hAI3N/lh7ZzquziYtxqbAcCx8/Ga4VkfoRmYESk+Tj7LJ6/qWm1BbsFEhxgA7Dy5rVl4ppmrFf0qPAOAIG+nIG8nAIgIFBApbCZ97BBvYlngaKmzIfUR6hdIKrmCwgcA4hkRordf0nUTEEJIj6WkFHUjIgpuNTxLTi46cKCLIZ++ILX4cTBiTHjI0CfBEpVCe9a6uYWVOw9fqayuBxL8b800Po/90x8XqmtEkkbZe6sms9lMzZdKFXy36/RX6+aJGqSa6dfjMgtLq9dvOjJvcrifh30bTW22OTKZ/N2u0yoAJoP2ygtj1csyuWLJrGFuTlYNEulbXxz8+ZPFnd0nLQMzvdPfwjOEUMd1qs/HMe9765K9D1w+VzWt2++6jLr6bqasGqvVdqABphtfo/72HUQDkq+vNUAXex46EtT5+LTet9YRvr7WBw50bdVeYmJiWF8p5lnxecbcrNjHPE6pi5urOre6ulqkEj5rXWsLgw1rpjHo1BMXE46dj3d1tORxWO+umEjknr+RqvmytKIp1IlJyNJMnzk+5J+LiV++M0ez5vKqurWf7iOWGxqlZsa8lpubOT40IS3nr59fM+CxSytq1ctnrt67nfTIzckqITUnPMClszvkZMLlrWf3tZz3TCeIIUPUI4V0XO9NS40AcGeiPqZzH0gSTV7Nq03q6uoIIW3D7yDSf90Jn/bvj+9IeLZgQfcuPOuhL5o2ql32wayNq3dRR9OcBU6TlowjhgYhsvJycn/evnXxxvHPWpdGpWbnlsYlP07JzOew6AGD7HcdvsJmUieMDDAz5jV7qV7rWemazIx5P2xYSCwT95613BwABHo5GvDYRDH18pAgtw3f//XC9CG3k7JnjOvcTVxe7rZSmdwTjJqlH4qOXTRuqZ9rgJYPZXu1EUOGLAcIEmg9PEMIIYBaXgAA8EWJAK7tFkYIIYT6hz4cnQGDRX9/x8t//nT+3I2L5lYWNjZ2HCavurSquLDI2Ja9/PvJdOYzL268m557/HzCivkjfT1st+2/ZGbC3/nFsrPXk1/9aO837z1va2mk+ZL23/CPLYt1sKnNNgdAzHXVRL3M57EYdGp1jSi/uKqzw60HeTkGeTm2TD8UHfvK9NdB24ey47V1drt9Ojy7nfTw0s00qUzu7mw9ZXQAh83one2WVdYcO5/w8vxOT1OAUD9Wyw1QAZlXn8pQmEL/nJYaeyIQQgjpGSqNMm9tFACU5VeW5FaoVI3OQ+2tHNsfq6OotNrNydLGwuj6ncwHOaWSRhmXzZw7MbyhQZaY+tjUiKv5Msy/6ZfZZsVsLY2oFIpEKmPSnxkHtrq5NkoOCRbsO3HT223gzlHcfnimqxOWpPS8P47feP3FcUYGnIe5ZQxGO0ddi5QqyC+u7Ima8ewP6S85lS9hOdEbi21UZSkAVEX/C88QQgghfWVuZ2JuZ9Lx8sOC3T/devzOvUc8LnNYiHtKRt7B6FgGncZhM6aODWz2UipTEGs1SweAGeOD3990dOrYwMhQj45vrs2SHnNe3bL1o04PCtJv9N3es/TswqHB7sRAi6ZGTde25hZWHI6ObZTJpz8X7O1mW10jOnU1SS5TCutEa5eMzy+uOnTyllQmnzQqwG+QfcbD4r/O3qFSKAunD7GxMGpWuI3cF2dGMug0AFCpVGeu3ktIzeFwmEtmDjMywOH40YB2z3OflGZWdPxFgEZdtwUhhBBCXcfnsTatn6+ZEuLnorms+RIAvlo3r9X0iSP9J470V7+kUanqSc8AwNnegpj0rOXmiAoBwMKUr14mStpbm7g76/1Y6wFuIcsnQYBbp6dBI/dEa7QixNfp77Pxh0/FVlbXEykiceNnP51YMG3IgqkRX/x8sqK6TipT/Pbnv27Oli/OjJQ0yr7cdnLOxPAV80ZamBlU1dRv/v3cwulDxg7z/mTLMQDQLNx2Lp/HemXhWAC4EZ+VnJn/1vIJs6NCeVyWDvcGQn1BI91KReq7v+l0kwof+NCrB0II9Ut3Ux/7DbInkUjtF+3bgtyCX5q0qgtTovXd8EzgaPnzp4trahtWf/jbt7tOS2Xy+JTHPu52NhZGznbmwb5OccmPAcDbzSYiUGDIZ8clPwrxdXKwMTEz4VuaGsQnPwaAzIfFFVV1NbUNjVK5ZuG2c8kkkrEhBwDMTfgPHpdmPiq2tTSiUvruvkIIIYQQQqgfuB6XOSTITdet0KU+/UO4qRFvxfyRS+cM/3TL8bPXkgHAkN80/qadpXGDRAoADFrTPWlVNfWaY4coFEoLE76FmQEArF89mUajaBZuO1fN3dlqxfyRR07f2X7g0jfr5mMHGkIAIKfwAarl/W9aauyPQAj1ipSUouTkLk/B3LN8fbs+zH2/pd3/Dqr/nvGfzjO89dIE7Veqxb3d80ewT4dnBCqFbG7CVyiVTrbml/+6tmj6UABIzsyfMyFUs5iVmeHZ6ynql66OFqeu3vN1t2u1b7TtXE1h/i5h/i6/HLz8b1zmBI0raxEasIzpFDOqTE7td+EZQgj1iuTkogMH4nXdimcJxvAMId3qu9NS/3Mx8XpchoONWUm5UNwgfXHmMA6bYXiB88mW42wm3YDL8nG3U09hDgDBPs5HTt/++pdoDpvpJbAZET7I3dlq/aYjHs7WYknj6oVjNCsXOFq2kat27U7GuespznZmyRn5Y4d4aeFd4S8lSM855n270+DkT1Kz87puCUII6bXuTMfcE1JSitqd4nlgws6zfkAnnWeJWfGJWXGBbiGBnbz9rO/2nk0ZEzgyfFBhqZDDZthZGROJH742Pa+4kkqh2FgYAYCxIfvlBU2zk5HJpK/Xzc8tqOBymMQs5q8uGltaUdsgabS3MW1WuN1cwvBQj2Bvp9IK4dLZw8lkvb9DEaHuE3EGAYAfq+G8TNdNQQghfebjY71gQafHDOg5+/fHY3iGkBYlZsXtOrX9JYD+E54BAI/L8nj6di8SieRgbap+SaNSne3M1S/JJFKz+cUtTPnPKtxuLoHDZjjbW3T1HSDUt3X+16RabgAA+LEbSLX40x9CuobfQYQQ6nf6dHiGEOpRXTi1k9CtKpVME7LETlmEZ4YI6RZ+BxFCqP9pPzzDv/5ahDsT9QP3pTyOisRT1bZfVM/gFxQhhBBCOoa9ZwihztkidE+urvY14uq6IVqGwRlCCCGEtCXQLeQlgEC3kM6uqMfhWW19w9HTdx7ll1maGQ4OcA32caqsrleBytSIp+umIaQvuhmS9K+Ipn+9GzQw4KcWoZ7XQ98z/Pr2pp7Y2+3VGSgIDhQEd2Hrehyefbz5WGSo+/RxQZXV9cT0ZTcSMhUK1YxxfWgcJIQQQgghhBDqIH0Nz1Qq1cP8sk3vzSeTSMYGXACorWvY8vsFAHhcUP7WsiilSvX32fik+7kCB/P5UyLoNOqh6Fgum5GYlsvnspbNjuRxWXKF8lD0rYyHxUHejtOfw6AOoQ6RU/gA1XIKTkuNEEIIIaRl5PaLqLr66EkkEinIy/H9b/+MT3msVKkAgM9jvbp47OqFY95aFgUA+0/cqhdJ1q+cLJbIfzl4BQBSMvPv3c9b++I4FpO278RNANhz5BqZRH5zadS9+3k34rN6tsWELu9MrT8Q6io5lW9EkYeyagxqb+u6LQghhFDP6qHzLzyJ6036dQT1tfcMAD5YM/Vm4oODJ2/9vO/i6oVjgn2cNHOvxqZ9s/55DpsxZ0Lomo/3vrporCGPHTXCn89jTRzpv3XvBQA4dTVp6ezI+JRHJoa8jIdFQ4PddPRWENIzI7j1/8fNLC/h1/DDdN0WrYn+5ZKum4AQQgihfiIxK/7ug7gAQUi/mpa6bSQSaUiQ25Agt4yHRRu+/+vo1lc1c8USGZfDAABjQw4JSJpZTAZNpWwKXO2sTCgUsoWZgbkxXqmFUEfdk7AAgF9/T9cN0Zo5b03UdRMQQggh1H/cfRC369T2lyZCZ8OzDlzc2OdZmBoQARiFTGmUyolEKzOD5MwCAHiYV2ZjYdjqij7udgq5ws/D3s/D3sq89TIIoZYeSxn1KjpDWsSQlui6LQghhBBC/Ye+9p7J5PK1n+63szJmMmipWYXL5g4HgGBfp/c3HZXLFQumRSyZFfnDnnNh/i7p2QWrF45ptZJls4d/9tPx5MyCyuq6KWOCPFysevdNIKRrXbqAnSqvVakgW8b3p1fw65PKjcZru1kIIYRQn6Hdm71U/z3jPWS9SYt7u+NHsKvHWl/DMxqVuuWjRQXFVeIG6fK5IzlsBgBYmhr8+NGi8soaEoCPu92PH75QVFq9aMZQJoMGAPMmDzY25AKAAY/98oJRAOBkZ/bzJ0vyiiosTA34XJZu3xFC+oKqqAWA2xIjU7tJErqdrpuDEEIIIdR/tB+e9dnYnkwi2VubNEvksOgcW7OmZTZD4GSpzrKzMiYWaFSKs505scygUwWOltBb+uzORKizLost3B0/1HUrEEIIIYT6ogC3kJcAAtxCOruivvaeIYQQQgghNDCNeWGjrpuA2hEoCA4UdGVeZQzPEBq4utmdi73BCCGE+r0+eOvZzZ/6z8jJvUMnt551WQfCMzwF0yLcmUj/ySl8gGo5BeeiQAgNXCkpRcnJRV1eV7uN0aKUlKL9++N7omZfX2sfH+ueqBmhfgZ7zxBCnSOn8olnVmOeVdlhOZWfZ/WyrhuFEEK9Kjm56MCBHgljdCslpajHosdgDM8Q6oieDc/wuliE+jGavMah6GcxyxXDM4TQwOTj0/UeIV/fvhWr+PpaA3TlPpl29WTI1yt66NInvKJK37V3BBMfxN99EBcgCOnsHWg9GJ5d+Qavi0WoP6tjD1KSmeyGh1R5jZxqoOvmIIRQb/PxsV6woEdCmt7XnVCzbfv3x+t3eIZQl9x9ELf79PZlE6APhWcIoT6va7/dNd0WqyJR6theBvUJPNG9aoNh2mwXQgghhNCARNZ1AxBCeoYqr1M/1/ICAMCg/q6O24QQQggh1C9g7xlCA1iXOs+oitqmZxWUmkypZ7kLeeF4DT1CCCGEUPdheIYQ6ro6tncd21vXrUAIIYQQ6lsCBCHLJkCAIKSzK7YfnuFv4gghhBBCaGDqgwM3Dlnjp7V2DAwxW7U/YGG7RzBAEBwgCO5IyWaw9wwhhBBCCCF9cvGPdbpugt7Qu4m+OhCeYfcZQkiDnMIHqJZT+LpuCEIIIdTztHsmrPrvGU+we5MW93bPH0EcuREh1DlyCk/9DABMaYFf5gv+GQt12iiEEEIIof4AL25EaODq5u8+xOpSqrFh7W0SAEkpUZKZWmgWQgghhJCeS3wQn/Qgzl8QgtNSI4R6lYLMFjNduQ0ZPFF6DS9Q181BCCGE0ECUmlWQmlXQata+C3t8XQJ8nQN6sz1JD+J2n9m+DADDM4RQb6vlBXIbMvj1iRieIYQQQkgnElNzkhLLc8uLasR1zbK2/bN5WdTKXg7PugzvPUMIdQ5VUad+JtRw/QCAJ07XWZsQQgghNOBNDhqVtfncp3NfN+To8QBmGJ4hhDqHqqhVPxMqDMfe9j533+Ub3TUKIYQQ6hEqbT+6XydqA4/JeWvS0swfzjYL0nRyBJ9Vsm14cSNCA5hWxgYBkFEMZSxD/I+BEEKoH+qD81Kj9hBB2ooxc3dcPPxt9K9CUW1qTsqrm5epC1iaWFsZW6tfFlcVlVQWdSS3pOq/Yv8dwbsP4u9mx6kLB7iGELNRB7iGLI2CANeQzh7r9sMz/PAghBBCCCGE9AsRpM0KHz/+82X5pY+Lq54EYJDd5ppt5z7tbnbcnjPb1S+XRkFTeCYIDujkoCAEnJYaoYFMS91nCCGEEEJ9TJ1EpO49Cx00xFKjQ6zLvWdEboBriPol0Uum+bKbzcaLGxFCnSOn8ACqcNZnjQAAIABJREFU1dNSa1AxZSUSmpUO2oQQ6l/qa6qunz2sfhk4ZLylrZNmAblMevboDvXL7Oysb76pf/vtt1utLSWlaP/+eO22MCWlqP1CSAMeBdSbNAMzIsXb0Wdp1Kqe2FaXe8meBcMzhFDnyCl89bMaRSmKuBdJUsn+Dby7eu90HTUNNffTon903QQ98MreKbpuQv+hrY9cTXX52aPbh4yeQKWQFQr5V2/NevvrgzYObuoCMmnjyQM/vrh8tUKhlCsUfqGmH370URvhGZ7H6xweBdQ7WgZmegfDM4SQFijIHDnVgCXJZYuzAeDiH+t03SIEY17YqOsm6I0+/onNfFSsUqk8XKzbL9rJwtql3Y8c39BkzosrGXQag05zdnE7vO3jNzfu1yxAozPWvLlO0iiVNEqrq6tPHTvcrAaZTHHkSKKpKVehULLZ9LAwByaT1u52q6vFcXF5zz3n0SxdJGq8fTt31Cg3zURf327t55MnUydP9u5ODXrB19caQJt9C63VP1DQimOoJTHLTSp4t6Jb5kpt3Rrt3FqmDxwnEy5vPbuv5bxn+qX98Oyzl7a3WwYhhGo5fixJrqEoUdcNQai/yXhUpFB0NOLqVOG+jEQiUSkU4jFh2uwDe7Ytfc6xWZnP/rdu7boP5QqFXKFotRJzc97OnfMB4MCB+MLCmnfeGd3l9pSV1eXmVi9YoM0w459/UgZCeObjY+3jo/cfyD6CWnjJMO/E2/aNyivNf48AgNphMwZyeOblbiuVyT3BqFn6oejYhWOW+rjox5zU0G54durUyt5pB0JI39Vy/Cwq/+HX39N1QxDq677ecUouV1TXiMQS6dsvTXCyM9u04xSHzUi6n79i3gg3R8sffjtXXSOiUEhvL5/IZtC3/H4BAB4XlL+1LKqium7TjtO1ogYLE/57q6fQadR6keSH385VC0VUCnn9qimahXX9RruLSqUQDzqNFhoRae/uMzzqybXT0kbJuqXTJ06fa2Xr8KzwTG30aPePPz6TnV1+/HjK22+PAoC1a//6/PPJIlHjunX/ODgYFxYKQ0Icli+PKCur27z52uefTxKLpdu3xwiFYolETsR1Dx6UffzxGc2SxLoFBcLQUAeFQvnoUYVEIt+wYbyZGTc6OvXixczGRvmLL4aHhTmoC6tXP3Eiuaio5n//OzV7dgBGL6jj2G5TeWFv1Cdsq7m1SSmp7kINpRW13+06/dW6eV1rQBdW79oWO7tWkJdjkJdjy/RD0bErp7zeqU3rFl7ciNDA1bWBF9XTUjdbXcgNVJDZOJxjn4IHo89yd7aaOT4kPuXxj7+f//6DBQBQXSPa8fkSAPh21+nhoR7DwzzO/Zvy8x8XP3lj5quLxyoUqhnjggFg275LcyaFBXk57j5y9fy/KZNGBez58/qowZ4RgQKFQkmhkDUL9z5tfeRUACR40ntGpVKsrK2FVZWaZegMpnfw4HuJcWZWtnK5su1t37tX6O5u3mqWUNiwa9d4lUq1evWRyZO9yWQSkX7rVg6Px3jzzZHEy7KyOpFI+sEH4wBAXbKmpmHDhvFKpWru3D0ffhi1cuXQP/9MOnkydfRot5iYx99+O10ikb366p9hYQ4tNzR1qm90dNonn0zs9t5CPUul3b+kKgCAxAfxoNrWhbVpRenP2ZtH0Xn8we9yg1Z1J0gbULR8EHsYhmcIoc6hKurUz5rqON7XgpJUQIF/caAFhNpCAnB3tgaAAE+HL7edVKlUADB1bBCRm5KZ/8oLYwFgWIj77iNXm6177U4GjUa5HJNWXlWnUKgA4N793FcXjQUACoXci2+i55GARqXQKBQahUqjUCQNYgbXpFkRhVxOIpHbuLixqKjm3XePy2RKCwveK69Elpa2MlTAoEGWZDIJgDRokGVVldjUlEOk+/pa//ZbLItFGz/ek0j097cldrK6pIeHJZlMIpNJAQF2PB4TALy8LE+dSk9PL3n4sPzHH68BgFgsk0jkLTdkaclv2Rg0QCRlxydld3EcSx4NiJ5xcosgTSqRyaRyGr390/us3NIPvjtaVlk/LMT9hWkRRD+VCoDJoH3yxswTFxPOXU9tlEqXzx0ZHuCaW1i58/CVyup6IMH/1kwjk5v+1Jy+kpSeXfT28gkAIGqQ/vTHheoakaRR9t6qyWYm/Kux909cTFSplJNHB3q72WU8Lv7gu6MFxdVh/q6rFowCgAsxqWevJtc3SEZHeM2ZENZqysCE4RlCSDtU0L9ODRHqMSoAuVwBACQyiU6nkkhEd01Tp02jTCGXK4BBo1HJDHrzoSxsLIzWLh3P1EhvkMh7p9m9jARA9JsRj5xHD4dNCNQsIJM2ZtyLn79oqVyuUCha3wnW1gZffz1N/bK0FJRK5bO2qO43I5iZcbdunX3hQuabb/69ceMUKpX8rJIAQKGQ/ssiAwCTSY2K8lqy5Mn5Za1GYNhydTRw+AtClnZjdVrRtcFWT/UDE0Ea23NO6b4xaTGP/714XqlUkhmqqOWDLR1Mn1VPXX3DJ2tnKZSKV/63N9jb0diQm5CW89fPrxnw2DkF5f/GZW758AVJo+zl9/eEB7haWxhsWDONQaeeuJhw7Hz8zPGhAJCSmX/pVvrGd+cSFcYkZPE4rHdXNPUGl1fV/XMp8et182hUikKhrKiuF4kbP359JgC8tH7XtLGBJBLp73PxWz5cpFAoV2/4LdDLkctmNkvhcVjd2FV6DMMzhBBCqFeVltccir7l72mfllXgYt/8ijtPF+t/47OihvvGJz/2dLUBAA6LmV/cdF1fgJdD9KWkWVEhAKBUqshkkoOtaezd7MGBApVKRSKRNAvrN42hQUR1tcl342/HXGtWZOKMeda2jhJpY7v3nhEMDdlZWWUKhRIAsrMr2i4skci5XMasWf4NDbK7dwtCQuw73nZvb+sDBxJmz/bnchnERaetFqNQyI2NcgYDT8YGkADX4ADXLl57TKlOZ2TmWPM4molKaZ2698zDf5aD3ws8Bp+qoO3dtdfct3DoTL9Wqwr0ciSTSWQydUiwIDWrIDLUI9DL0YDHBoDUrMIHOaXf7T4DAGKJVNIoYzJo2bmlccmPUzLzOSw6AFQI6zd8/9evXy2nUSlN72uQ/a7DV9hM6oSRAWbGvHv384J9nIlc4vMf5OVILHgJbCuFoqLSqhAfJyqFTKWQBwe6pj0oYDHozVLC/QVd21H6Dv8iIDSAde1SbNV/z3p1JfcAhceoT7I0MygqE679dB+TQVu7dHyz3JefH/nNzjMXY1J5HObrL44DgMEBruf/Tflky/EPXpm6dPbw73afiU95RKGQX5w5TOBouer5Ud/tPhN9JYlJp72/ZqpmYR300mjv5jOSxtAgv+/8OWzklBde+1Kd3yCqe/eFwavfel/SKJXLn3lxYzOmppzBg51Wrz5iZ2dkYMBsu3BqatHRo3cZDCqHQ5882Vsq7UQvpZkZd+HCkA8/PG1oyLKw4K9YEdFqsWnTfD788PSkSd5Dhzp3vHI08KjoOf+wUn6iFV6RWUcCbziRqhmYESlVpVXHth8eOnxIeFj422+/u2fn7pz0QkdPm5Y1qv80sBh0omdYncJk0CaPCnhp7gh14bvpucfPJ6yYP9LXw3bb/ksAYMhj8zjMuJTHzw1tGnrUzIS/84tlZ68nv/rR3m/ee17SKH3WmyGRSQCgUCgbpU1fWwadRqVQWqZ0ej/1FxieIYQ6R07lAVTLqbxWc1mNeVH8ml5uEuo4lUrZIHpy3yCLw//vyronGhtEzc6xmSwOIK1aNmeEt9uTc6Z3VjwZH8LcxODrp0cq47AZ6hQ+l/XR6zM0c+2tTX7YsLDVwnpNWFXx68/fUygUSYP42uVLH2w52ayATCr9ddtmuUKhUCgkEknL0JBGoxCj6mtatmzwsmWD1S85HPrnn08ill97remsl0gJDrYPDn6qx+xZJQFg/frniAV3d3N391EAMHy46/Dhrup1zc15LVcfP95z/HjPdncFQpzbGyjV6Soal/iYtwzMCJWlVQ0iU55B0z/olctXf/j9O47/ayU8S0jLkSuUZDIpNil7zQtjNLN8PWz3Hb8xb1I4l8Mk+n6LSqvdnCxtLIyu38l8kFMKAFQK+b3VU17/5A93J0sHG1MAkDTKuGzm3InhDQ2yxNTHbk5WW/84P2diGJVCVrU2LscgV+sjp28vmxNJpVDuJD98d8UkhULRLIVMAvmzr0buxzA8Qwh1jozCVz+3FHx/ToRNeamwTG7Y+iBpSLdqqyveej6MwWIBCVQKpYtnwJoPdzOYbM0ya2b40BkMaDrbVTU2SH459YBKbX8+X4S0xcDI7LlZK2QAMgBgG/zfd39yDYw1C9DojEkLXlMAkKhABchNyvr444911FiEtI+klKvI6rN0kijoA7K4uNHjRVbyZnHWidq4H5USYasrzlg81d7Gjlim0+nKZ/Qrmxrx/m/jIYVSOSzE3dneorTiyc2R5iYGi2YMW//NESM+x8rccNWC0cOC3T/devzOvUc8LnNYiDtRzMSI+8ZLUZ9sOf7Tx4uZDFpKRt7B6FgGncZhM6aODTQy4IT4OK399A9TI97IwZ4ezs2njnC0NZs0yv/1T/exmfQJI/ztrIwBoGUKnUbde+zGoulDu7gf9ROGZwghbarh+pkJL9IKszE867PYfO6s98ezWWwmnXVpX8xfezY+v/qTZmV+v75NIpWIxCKRWLRuRkfPeitFZTFZZ6YELO5aw+7m3nA19+axDLu2OupPuAbGUXNWtVGASqNPmr9G/bKx7Mzbb+NMrahn9OJV4iSVgpZ3hpm6RWHoIRqyWZ0udZlDLMgthgjlkv3pe+ZNmqRSqv49nWDnY0un0BuEjbVldSJTF1P2k+E0/jr2p/dIh5ZbsTDlH/rxlWYpmtOLjRrsOWrwk35dPo+1af1THdFE4SAvx90bXyJSQvxcQvxcNMssnhm5eGZks1UAQD0l48zxocQoI2otU758Z07L9neFXl3qj+EZQkibajl+ZsKL9KJHDV6t32uB+gASnUan0egMBn3C4tE/vrGrvl5IZzy5D4dEJSXFpjr7OEhlMqnsmfcPtMSisqwNnbrcrMTcGHO+zUAIzzQvZUQIIQAgSWtZqVuYab+QxUUAoKjOFEd8pyI1v/9Kajtaajv6u4OnJoycCwAUTuDW3ZdHzBtq4mHCYxjYMfhMetMf839OnMgqTZoxb2QvvxHUfRieIYS0qYYTAACMwge6bgh6JhIAjUan02g0Gp3FY7n5O1cx7pp5GakLhLgN+nHDTx/88i6VSZHJZS1ruPngvK99OJfBL60tLKh6FOQ4DADuPLoqsPBRggIA0grjcyubPgOe1kH2xi55ldmPKjLMeVbetqESqTi7LJVGYVTWl0QIxjVIRYk5Nxg0plTeCACauQAQ4DCERecCwPXM6Ej3ST2/e3qQSNxYWFplaWrI53VitGiJVFZaXkPc3YEQ6n291O9CIrHufUuS1ioM3CReKxs8lraMzVryCXcztzU59P0ZmUTp4OJoamxGVdKL8gqFNVWB4wUzFvZebLZpx6moEf6at9T2KXrVeYbhGUIDWlf+XtEUtf89t7J6LdcnoYHt5ujd3ab1gJo68d203BHhg7pZz4OckvvZRQwGzUtgY2tp3P4KutTyGKmABHQajUal02g0Oo3u4Gb3WNrgPuWpIRCqMuqSYlJ8Iz3/6z17aqTOImEOjUoLcRpxK/v8xbRjAfYRJBLpUvoxVwvPO9mXQ51GWBrYchg8pVKx599NgQ5DS2ry04rizPk2F9P+rm0Qelj7b7/y2ahBU92tfBVK+daLGyIEzzXIRGmF8VMCFopl9erczJLktMKEYKfIkpq8h2Xpke563Ol05lry8Qvxg1ysK6rrvQS28yeHxyRkKZUq9Y0cz1JaXrPn6PWP185ouxihg3X2JP06C0JId5SNJJVKRWnq7FLRePXhm5R8J6nNSI1hFNtnYWvy+rcLFXJFXmZxVWkNi6MKmBnMNWC3vybqqzA8Qwh1DlVeq35uSUHmLMxxujhidu82qkOEteIrsfe7E56pVKrNv51rbJSH+DnX1jXsP37z1RefYzPpnarkxMUEhUI1Y1wX573RBhKN1hSbEZc4quqan1JzrBgVpRUyuUwma6X3zNs2JDHnRojTiMLqxxGC5x5VZLBpHHvjJ3cdmHAtTLgWV+7/E+k+0dLAFgCsjRwAgEXj3M2N8bD2N+dbzwheCgCpBfFmfOshgnHEMrG6OpdF59zIOhPsFJlSEOdnr9+Xy/721/WdXyzjc5v6zWRyxaWb6QqF0tyE7+5slVNQbm1hRKdR6+ob6sQSa3MjABBLpMWlQpVGwCOWSAtLquysTYhpqfOLq2wsjPKLKzlshqkRr1mdACASN5ZWCO2sTWhU/HePUF9BbihhZu5lpv7UELCuwevJPZaSQcu6XCeFSnHysnXystVGA1u3accpDpuRdD9/xbwRxy/Er144xtrc6HbSw8S0nFULRquLVVTXbdpxulbUYGHCf2/1FDqNejX2/qVb6eKGRr9B9gNtkI+uwb/XCCE9czPxgaOtaVzyIxND3tBgNyLFydYsLvmRn6e9g7Vp5qPilMwCZ3uzQC9HYpWUzPysxyWG/KZfEy/fSg/1deZymAUl1SXlwmAfJwB4kFOSnJFnb2US5OtMJpFSMvMzH5X4DbITOFqqN30hJo3JoK1d0nyiqmYNaLZuVU19UnqesFY8PNSDxaL//vcNhUJJoZCmjgnq+b3VChJAU2xGpdFptMrSao5d8wmgah6KPULMpDKpTCZt2RviauF9LOG3Wkm1IcvU3y48vTCexzQcZBOoWUYorkzOv/3qmE8BoEFaf+TOThqFVi+ppVHpAGDMNiOKVYlKrQ2b7lynU5sCXXWuk6nHodjtKlBmFt1bPkKPu84IBSVVxDTTACCTK+5nFyoUqoe5pe7OVruOXCXOddKzi4hznYyHxZt/O+ftZnv5VrqVuSEApD0o2Lr3opuTZXp24cZ35poYcXceuvIovyzMzzUu+dHLz48M8HLUrHPHwSvF5UJzE76RAWfepHCdvnWEEAAARZjBjv+Y+fg4KGUAQC2+Dl5tDYHT11TXiHZ8vgQAjl+If1aZbfsuzZkUFuTluPvI1fP/pkwaFfDbX9e3fLiIx+3ERd0DHIZnCA1c3bwISVfXMN2Iy9x95OqSWcMv30p/lFe2aMbQmPisHQcvz54QxmbQ/43LvHAjdVykz8F/bhWWVE8eHXDpZtqV2PTxkX57jl4j5vi6fCvNw8WKy2EWllQlpuUE+zjF3n0YfeXuhBF+jwrKQ/xczl5Pjr2bHRnq8d3us28sHefmZEVs+sK/KW+9NKFlkzQb0HLdCzdS+Vy2VCZf+9m+nV8sC/V1ViiUPm49+BunWmuXNgKQgK7Re5ZxN5taqhQ+EqvLyBqlpclVdgttZDKZVCaDFpOQU8hUE65FTNYFT5sggZXvmZSjXAZ/YcSrErlEvdG/E/bMCl1OIpNVAHceX7M3cR0xaHJWScrWixumBC5WF+Ozje9nXyGWFUqlSmPacwAAEsnFwiutMJFBZ9FpTL2+bO69VVM2/3aOTqNOGxs0MtyTzaTPmxyuUKgmjPRvtfyvf15/dfFYT1ebMH+Xw9GxALDr8LX3Vk+xszI+cSHh/I2U+ZMHs1n01xY/F+rnkpCWc/Ji4pAgN806byc9/HrdPBMjbm++Tb0+Rgj1NJJKyXz4p4pEltpPlPi8JrUd3f46fcnUse3/qnjtTgaNRrkck1ZeVadQqAAgyMf5060npo4NjAgUtJxpE7WE4RlCSMdUKlW9UMzmMSnU9m+DBgASifTG0ihvN1tPgfXK939bNGMoACyaMYwYBfjjLcfWrZxsa2lsa2n80ea/J48O+PNs3Purp9haGluY8vcei2m1zkPRNz9eO9OAxwYQAMChk7fWrZxsZMCtihDdTMhWh2eFpUJzEz4AJKXnJWfmAUCAp4OPu51mA1quO3diOADIFcob8ZnCWvEgV2uFQuVsb9HtPddlJBq1KTbLy8xvFMlHB72qeavDHz++/9r3L1NZFJFYInvGyI1etsEHb23dNPcglUzjswxKawrZDB4RngFAWmE8CUgKhTy/MpvLNLQxcjqR8Lsh2+Rk0l57E1fNegZZBZ28u+965ikmnZOcHzvBr/l8yv72gw/c2hLlq7N5lhVyhbhOwjVkd/Oswm+Q/S+fLb2XkXf09O1rtzM+eWNm2+ULS6qImYLMjHlsFgMAUjLzD568RQJolMn9POwBgEIms1lMALC3MmloaH6kZk0Iff3TPyICBXMmhpkatT6PPEKoR5Hr85VcO/VLuZFnXeR2mf14BaePDqHRnid/BpXK1n+NsbEwWrt0PHEBNuHVRWMT0nKOn0+4lZj99vJWfuJEzWB4htAA1qUfumUUPoBQRuG3sTrrwV16Xkbd4IlKduuzVwNAY4P0z63ny/KFVDKdw+aSlCSFXE7nkie+PMTEqt2h1UkAYGzApVIpKpUKAMxNDIiMSqHIxsIIABxsTCWNMgAQ1jSl0GlU8jPOsCuFIgPekxupC0qq79x7RPwb8vF40s3F5TArhfVmxjxTY56nq01sUnZyRj4Rnqkb0HLdSzfTbsRnmZvwi8qEMvkzpgjtIa12n6lUikaFjKxQSkR7Nh6cseS90BGTNYvs2/IBlU4RVtaIG8TiBtF/az1Vja9tmDRYwqSxQQWjPafXS2pBBWwqJ8RlFFHYnG+bUhAPAM5m7h5WAZMDXiioerhi+AcltflPigHQKfS1Y79IzL1BJ9PXjPmEzzCiUejqXABwNfcSN9b62IT0cr9MZYnw6Jbz4lopg85iMzkqqVIFCkNr9sSXhzLZjC5X6+dh7+NmN33VD8TnVgOpsVGu+ZpMJpdX1VmYPvkGOdqavTR3uLFBK71hrX6uo4b7Roa4n7qS9NX26GZzFvUg7D5D/U+XPtW0khhW6hZ6zvGaiedlVk+m/5J4LOtynX2HEZ+TmlVga2mc+bhYrlACAJlMUigVABDg5RB9KWlWVAgAKJUqMpkkEjcGeTl6CWyWvLNDZy3Wqx2O4RlCqHPkVL76+Vk4cWcZOelSe/cGQWCrBXIzi3Z99nfEtFD/kSE8Bp9H5/MYBjwGHyTkPZt3u40yD3rumQN41NQ3PMwt8Xazqa1voFLIzfo0eGzmo7xyFwfz0opaHpcNAFxOU4pCoSDOiakUirBWbG1upD5DplLIwlqx+uY0T1ebYSHuTnZmzTYd5ud0/HzC8nkjbC2NbC2NSspraurEzcq0XHff8ZjdXy0nk0h/nY0jGqBSKdvYez2KRCIr5MqNL28FABIJRk9b0iw2AwCekckv6/cBAKhUKgA2l0dqMYwYl8Ef4dG0opOpB7HApLNDnUYAgJdNsJfNU2OfCCy8BRbeAGBhYAsARLGmqpgGzYZk1MwViivtTdzYjF7t/Ik5lXD5RPyIOcPMjMx5DD6PYcCj83kMfk1p/Y63tk1+M8JW0LlZ11Uq1dlryX6e9kwG7WJMmpujJYlEsjAxvB6XIVcoqRSyvbXJ2espi6YPOXY+3tLMEAAGB7r+fS5u8cxh/1y8W1VTDwCjI7x2HLzyxtKoKmE9l81o9UYOzTrjkh+5OlgMC3E/dSVJK7sFIdQRjNyT7DvvU6vTAQDIDGplimZ41j/Migr75MdjV26mA4CtlQkADAly+/2vf19fMm7p7OHf7T4Tn/KIQiG/OHOYwNHyuz1nhLViFpO+cNoQXTdcP2B4hhDSGsP6BMP6+OUmFSqWY6OTNz0vg1pRpM6V2ro12rkBgFKh3PHp0cglEQZMg8z47OAhgTHnYquKhLPmz3C0df7gg//98N33th4VFvatT/REpZB3Hr5qyOfcufdwZlTz8Q+njQ385eDlmeNDzv2bMm9SGABMHRP4y8HLM8aFHD19WyqXA4CPu+3ev29MHh2w+dfzEUECABg/3PebXadnjAvOK6ycOjZw3uTwb3adXjIrsryqzsfdVj16/oJpQz749ujG7ScHBwgUSuXFmJSJowKaNaDluqZGvOPnE4jAjEQieThbbz9wWeBo5ethB9qQmlWQmlXQataFtL+czT1dzJ7Eunwj0x//TG67wm/339FKw7QiKTfGxy60hypXf2J5t6LVifU1Iuq15JeH29fLSpPja0KGBN04e7OqUDjr+ZlO9s6bvvp+3XvvLPshqoPX4hLkCqVCqdxz9LqoQepqb77h1WkAEOzrlJ5d8PUv0etWTn5+8uCdh69+u/tMuL8riQwAsGzO8D+OxXz9S3R4gCufxwSAuZPCjp9P+HLbP6bGvBnjgnlclp21CZdNBwA6lersYN6szryiinP/pvA4zPdfmaLV3YbQwNLpfheFhFqdrmRZNrgvkni9orfXMTb3zoonv6M52Jjs/uolzdzwANfwgKZr1z96/amJQDasmdYLzWubXnWeYXiGENIe47oYD8U1N/tG5f3bAMB4nKqZWztsBhGeJcdkmnuZkMkkAMiIfxA8JPBebIqdvR3PsKlH7rVVazf99tGsd0a1uhUOi7F2yXhhrWhUhGeQtxMADAl2szBp6l2ZMNLf2sL4QU7J7KjQQa7WADBpVIClmWF+ceXapeMf5ZcBwIxxIUYG3Irquq/+b26lsB4A5k4Md7R5+Di/TOBoBQARgQIzY969+/mWZgZGfI5600w6bdO6+YnpuTn5ZWwm450Vk4jLJjUb0HLd91+ZeiM+i8dhbnx3rgGPZWdlvHBaxOP8Mm83W2IndFNiak5SYnlueVGNuK5Z1j93907wnacZnukdA7axwMKnhyp/8om9clidyAeYYQiQm5dBpt6Po4YMCUqKTbG3s+Mb8gCAQqHMmjQvJSbef7hHxzdEo1ImjQqY9HQwT6WQl84eTixzOcw3lj41IiidRl02Z7hmCplEmjEuWHNKBvV4jHwJXV3qAAAS40lEQVQe6+X5o5rVOXN8T4W1CKEnVEpqVbLc5MkYPxLHaaqxRxodJgOZ1sZ6CD0LhmcIoa6oqi87k3ywWaJR3aMZXkPGvXC1PmFbza1NSkl1q+s2iBspDLJmCt+Q9/zKufT/7iRmspiyxrbu0bI0M/R2e/J7ZESgQDPX39Pe3/OpSZaDfZyI0fPtrIwBgEQiEcN4AID6KsQwf5cweDJzl8DRUnNIfTUSiRTk5Rj035D9rTag2bqGfPakUU+Nzhfk7UQEltoyOWjUa1Ev7Lh4+NvoX4Wi1qek01NBjj17URDbbSov7I22P7F8Q96CVfPo9KZx/7kcrlTUynRwCKH+RH3l/Gmz1se+jyusYT48zErdQqnJqpqfreD8d6Mymdbo1KF55BFqFYZnCKHOISakrhSVnU4+1DLXypgZRefxB7/LDVr1rFPegMhBpw9ddw9wAwBbgfWp3895hXhqFti7//eQSe499g76Jx6T89akpSvGzO2XQVqPIj/7E2vnZnPy97PeIV6a5Y/+c3DGR/o9RzZCA0dKStH+/c+cpKsNAsGkv/76xcfHutXcN8dQTPfbk2T1AKDgOpLrcp+EZwh1D4ZnCKHOsaHL7gNY0UlmbAMZha8eI6SqvqxSVKYu1sYpL5PNmPT88ItH7wyfMyRotB8xNAiRpVKpDh44UAE5If7PvIFY80pC1EzLIK2ytX5ORBhGFQZC0zChLT+xKhUEj/YnhgYhyjQ2Nv70wxeeUdYsTtcHb0QI9aaUlKKUlKL2y7UgEExMTi46c2afVCp95513GIynvvUqAJKsXmYR0eDzWqPjNBUZz6iR1uCHCSHUORZMJgAUS1XFUiGAUDPL19BwsNVTI9oRp7xszzml+8Zopoc952frbHFk63mlnOwkcDQ2MCWrqAWP8uvqawZP95oQ2dbgTs2uJEQtEUHarPDx4z9fViUqu/3osq5b1EcZOTkBOGqmaH5ic5Jzr8ZfchI4GXCMFA2K/Md5MpVk/PIwG9cembNO1CBNvp87uNsfb5lcnl9c5WzXubElEep/fH2tAZoPH9VB6qBuwYIF69ev9/b23rx584QJT+bs2hurXPRzmtzov0s/9GvoiQFIrw4QhmcIoc5xtB6y4L/lBrqthPHkHrBh1AcR1k8Nt6iU1mn0nj01yL6Nq+UbPyySyxS5GUXVZTVcA3rI7MEsLlOLTc0vrnqQU6K+zexiTJq3m62lmQEAiMSNMYkPhLUi/0H26lmnO6WmTnw3LXdEeF8cdaNOIlL3noU5e0zQ3ZzOfZw39UGzFM1P7JCJMwQBUbkZRXVCsbGFwbClo6m0TozW2Fk1daL41JwOhmdfbju5ftXkVlOqhOJf9l/+ah0edDTQ+fhYP+vSxHbt3x9PhGc2NjZ79+69fPnymjVrtm3btmXLFkdHRwCoEsGT2AwhrcLwDCHUOZZOsy2dZrea5Vz8o3r56cDsmag0iouPHYB2hphvhs2k7zx8lQjPJI2yjdtPvjAtYvHMSAC4m56bV1jh7WZnwOO0V03rhLXiK7H3+1p4phmYESkmXPMo396akljftPuJZXGZHsHOXa5frlDmFJSbGfPUk54XlFSxGHSlSsXjMJkMmmYBM2PexJF+ACCTyyuFIg6TXlJR42RnTqU0jaOTW1jJZTNMjLgFJVWXbqZNGOnnaGNK1KyZQhSuF0mKy4Waq+cXV1EoJGtzoy6/HYQGDl9f648/PuXr2zQpxahRo2JjYyMiIkJCQmJjY11cXNpeHaHuwPAMIaRlHQzMeoGJEZfLZhSXCa3MDe+m5cyZEBZ771FTeJaWOzTErUEiJZNA0ig7cvo2sQqdRp03Kbyqpj4pPU9YKx4e6mFixL2Z+MDJ1iwu+ZGfp72DtWlKZn7W4xL1HNYSqSz5fl5BSbWXwMbduSsdcVrRMjBDHdRDn9js3NLdR66ZGvOS0nPfXBYV4OmwcftJpVKlUCqv3c7Y8fkSpQo0C1ibGxG9XlVC8cI3to2O8JLJFRVVdT9sWFhSIfz8p3983G0rq+tXzBtZXFoNAPeziwz5bCI800xh0ukJaTmbfzunUKqI1clk0pfbTsoVCmGN2M/TftH0oVp8mwj1Sz4+1g8eRKs734jeMxcXl+joaKL3DKGeg+EZQgMXMVGyVisEcdaJ2rgflRJh+6V7RYiPc9L9PCtzw9v3Hk0bG5ieXVheVWdmzEt/WLhywcgf9pzjc9lGhtxQX2cAuB6XWVwqBID/b+9Og6I48ziO/4cbhgGG+xiOAQaQS+XwQNGNksT1XrMJidGkksphdLfKbEpX17KSqphdN9nNmtocRnOYjUYT74oa1ysbg1cEo654EBUUEAVRBEWFgdkX444IijEOQ8N8P+WLnu6nn36a7mL88Tz99Oa8Q16eHg2NxqlzFi9684Ud+UULlm57dHhfD1eXrTsLv919eNignp8s/8487fJr81ZlpESHBvnU1tV31ml+XbDt3Y2L2773TERMJutf6G6jQ+/Y2Migv0x7TETy8ou27Trs4uxYU1s/d3quiJSULWxbYMKYm49cGqKCzSMVp77+eUl5VXFpVZw+eNL4oeatAX5eYUFay0vPRCSzZ4xlzbnztZGh/rOmjLHsfqnuanNz8+zfjW02mSa8PH/C2AEOKiu8cO+2uNnQzZSXl8+cOXPXrl2tnj2TLvY0k73rWheLeAbAai6p04/VXd9SXv74yJFttzbo4mzfpPRU/ZbvD/16cOqp8vNRuoCsNMOe/Sey0gw+Xmpnpxu/AJ0cHRJiQq9ea9j/2eY3/5grIrkj+omIsak5L/9Y1YU6EXlqXLZ5kOSKjXtnTR6tC/YN8vf61+odInK5/lpMZGDvxEjbn51ZUryuodGYKK0HrS1btzsn8ZHoQGUNv1SUDr1jTSbT6k0FxaWV587Xemvci0urUuJvDOKNDAtoW6Dlvl7qGw9hhof41V9t7J9mWL0p/+U5S37zUPqgPnd/Hba/1rPl7qVnqgsKS95asF5EIkJ9GxubXF349gd+liVLlsTFxS1cuLDVzI1Ax+EXNACrqfbKqvbKevs/ecMfyO3sttyQGq/756JNp86cjwzzE5GsdMP8L7a6uzlnJEe1KrloZd740f091W4isnVnYV5+UaCf15nKmkZjk4gE+t2YWr3m0pWwIK2IuDg7mbsgJk/IWbB02wdLjFMmDO3ZI0Jsru1rss2Wrds9uvdEmzenK+nQO3bzjsLqi5dfeW740RMVr76zsm+v2CPHz7RT4Pa1qFQi4uHm8u5rTx89UfGPT7/ReqstMe/uVCoR0XqrB2XGT31m2P2cDmCfpk+f3tlNgN1x6OwGAEAHcnZyCgnSrt28r2/PGBHRBftWXajbs/9ERsot8z2cOFVZU3tlYMaN3pLFa3bM/v3Yl54cWlt3tdVgLU+128nTVSLS1NRk3pQYGzZv9sQ/PDvsvc+32Ois0BW4ujhdvHS5tu7q4rV5jg6OacmRPx4+XVJWVVl9afsPR9sWaKeq8nMXj56o0IcHJBl0ZWcvioin2q383MXm5ps3Z9s1Fukp+oJDJYePlzcajcWlVdY+UaDbUt1ZZzcN3Rm9ZwC6ucwU/fuLtzyf+yvzx/Rk/Vfr9/xp8mhLgWaT6b3Fm58Y2e+n4rMiEhMZ5K/VrNlUYE5frb6Gx+Skfbh027iHM5dv2NNgNIrIJ8u/i4kIunq9wdWV36i4KSst9lTZ+bc+2tCvlyEhJtTX23PGpJGfrcrz9fFMiQ93dHRsVcDF2TE6MlBELAsiEh7i6+nhcu1a47e7jyxbtyslXvfgwGQReenJoYtWbB/ct4flbwqWNUmGsFa7e7i5vPHKo1+u23290ZieFKUPD+iMnwfQxZi/AkaMmP/qp5PuUMKm7cF96VIXi/9MAOjmsjPjHVQqdzcX88dhg1Itk48PyIgL8tM0NBh7JUYeOVlhXhkV7j9rypi8/CKN2m3u9Fxvjbu5mHnryCG9gwN8Siuqpz477GRppYhkZ8QfK67QqN3nTlPKkE4ogbOT01PjbpkjMTUhPDUhXESmvv65v1bTtsCLTwwREa232rwgIo8N72teeClySMuSyXG65Djdnda03T0i1G/aCyOscVoAgI5FPAPQzQX4asY+lG75GBHqFxHqZ17O+v8rgFtNNe7j5TRySC/Lx6xb3xSckaLPSNGLSHiIr4gY9MEGfXDHtB3dyoEjp6N0/qfKqz3VbmoPphkAANwG8QwAAFsoP3th9aZ8f1/NjBdHdXZbAHRtORPndnYT0FGIZwAA2MLwB3oNf6DX3csBUBIFPrX07d8PdHYTuhgFXsR2EM8AALCOfYUlh4rKRCRAq0mK01mG0d6Tnft+MkQGBfh53alys0cezmSEJAB0P0ysDwCAdfxYWHLtemOP6BBjU/Mb769duXHvz9xx7ZaCVf/ONy/vyC86V113p8oTY8PM/5ydW8/F37ISAEAXRe8ZYMe6Vmc/fgEusc3FRARm9owRkQcHJj8346MB6XHBAd4i8t9jpcdOnu3ZI9wQFSwiFy5d3n/4dE1t/eA+Ce7uLp+tymtqanZ0VI3JSReRyupLa7ec9fb0GNw3oeWrHWIiAs3T0pi1X0mrI+7c95NeF7D34MmeiRFB/t4Hj5wuO3sxyRAWHx1izfPnlkP3w10N26L3DAAA63Nzdc7uE3/wWKmIbNx+cOXGvb4+6rc/3lhUXCEim/MOXW8wNjQap85Z7KBS9UmN7pManRKnE5GauvpFK77Xeqk3bj/41YY9LessKavaV1iyr7DkyPEz7VfS9og78otmvvWlo6ODh6vLa/NWnT5zITjAu7au3vY/GQBAO+g9A+wXfxDs9rjEnctfq6m5dEVEln29a8akUVpvzwtZV3YWHI/Th+SO6CcixqbmvPxjNbX1PWJDm5pM0RFBIuKt8ch9vl9qQnhIoM+nK743lzQrrbjg7OwkIlovdY/Y0HYqaXtEEXlqXPaQ/okicrn+WkxkYO/ESKufMrccANwn4hkAAB2iuuZyYmyYiJSdvfjDgZOiEhFJSdCJyNadhXn5RYF+XmcqaxqNTS33Uok4ODiIiNZb3XTrpuzM+KFZSZaP7VTS9ogiEujnbV6YPCFnwdJtHywxTpkwtGePCOueNQDgfhDPAACwvusNxn2HSsaP6i8iibFh2Znx+vAAy9bFa3Z8/NfnHVSqlRv3mkwmETGZmu/1EO1U0vaILSXGhs2bPfHoiYq3P/5mwZ+f/QVnBwDoIMQzwJ4xEKnb4xLbWklZVUFhSeX52i15h54eN9BT7SYij4/q97ePNjzz20FVF+pS4nW6YF9/rWbNpgJzplKpVAnRofO/2GaICklNCG+/8n2FJebl5DhdO5W0PWLLej5Z/l1MRNDV6w2urlb/bwC3HADcF+IZAADW0Tsp6lBR2eGi8pBAn1lTxvj6qM3rs9IMAb6aA0dKgwO8tV5qEZk1ZUxefpFG7TZ3eq63xj08xHfC2Kzi0srkON2AjLggP42IeLi75mQnt6rc8uqzeH1IO5W0PaKlWhHJzog/VlyhUbvPnZZry58P0BXxJwfYGPEMAADrSEuKSkuKuu0mQ1SweYJ7Mx8vj5FDerUskJ6sT0/Wi0hWmsG8xsPN5cEBN+PZbSu/UyVtj2ipVkQM+mCDPlgA/BzkM9gWE+sDAAAAgCLQewbA+nImzu3sJgD3gDsWAKAQxDMAVvbO+NWd3QTgHnDHAgCUg3gG2DHG0wMAACgJz54BAAAAgCIQzwAAAABAERjcCAAAANwezwHAxohngP3iKwcAgLvgyxK2xeBGAAAAAFAE4hkAAAAAKAKDGwEAAIDbm/Pc/M5uAuwL8QwAAAC4jfXrJ3V2E2B3GNwIAAAAAIpA7xlgz5iOCgAAQEGIZ4AdI50BAAAoCYMbAQAAAEARiGcAAAAAoAjEMwAAAABQBOIZAAAAACgC8QwAAAAAFIGZGwH7xcSNAAAAikLvGQAAAAAoAvEMAAAAABSBeAYAAAAAikA8AwAAAABFYGoQwI4xNwgAAICS0HsGAAAAAIpAPAMAAAAARSCeAQAAAIAi8OwZYM94+AwAAEBB6D0DAAAAAEUgngEAAACAIhDPAAAAAEARiGcAAAAAoAhMDQLYLyYGAQAAUBR6zwAAAABAEeg9A+wY3WcAAABKQu8ZAAAAACgC8QwAAAAAFIF4BgAAAACKQDwDAAAAAEUgngEAAACAIhDPAAAAAEARiGcAAAAAoAjEMwAAAABQBF5LDdgz3ksNAACgIPSeAQAAAIAi0HsG2C/6zgAAABSFeAbYMfIZAACAkjC4EQAAAAAUgXgGAAAAAIpAPAMAAAAARSCeAQAAAIAiMDUIYL/Wfbi1s5sAAACAm1QmE3O3AQAAAEDnY3AjAAAAACgC8QwAAAAAFIF4BgAAAACKQDwDAAAAAEUgngEAAACAIhDPAAAAAEARiGcAAAAAoAjEMwAAAABQhP8BvWZ0Nrug+8sAAAAASUVORK5CYII=", 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"text/plain": [ "" ] }, - "execution_count": 14, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -419,14 +474,12 @@ "id": "f678a3ee-ac7e-4ce4-a8e2-0d41c612800e", "metadata": {}, "source": [ - "We use SVG diagrams a lot since they look great in documentation, are zoomable, even interactive sometimes and really light-weight. To make integrating them into a pipeline easier, we also support some derived formats, which you can access using `.as_` style attributes, see below for a handful of useful examples.\n", - "\n", - "If you need an entirely different format from SVG, such as PNG or JPEG, there are quite a few examples of how to get there on stackoverflow (like [Convert SVG to PNG in Python](https://stackoverflow.com/questions/6589358/convert-svg-to-png-in-python))." + "We use SVG diagrams a lot since they look great in documentation, are zoomable and really light-weight. To make integrating them into a pipeline easier, we also support some derived formats, which you can access using `.as_` style attributes. With some additional dependencies set up (see the README), capellambse can also automatically convert these images to PNG format." ] }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 9, "id": "b5699e75-2e4c-4b8e-81af-51be00ff6dc3", "metadata": {}, "outputs": [ @@ -434,16 +487,18 @@ "name": "stdout", "output_type": "stream", "text": [ - "` tag, using the above `data:` URI as `src`" + "print(diagram.as_svg[:110], \"...\") # The raw SVG format as simple python `str`\n", + "print(diagram.as_datauri_svg[:110], \"...\") # An SVG, base64-encoded as `data:` URI\n", + "print(diagram.as_html_img[:110], \"...\") # An HTML `` tag, using the above `data:` URI as `src`\n", + "print(diagram.as_png[:10], \"...\") # A raw PNG byte stream, which can be written to a `.png` file" ] }, { @@ -456,7 +511,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 10, "id": "cf91c71a", "metadata": {}, "outputs": [ @@ -466,10 +521,10 @@ "
  1. StateMachine "FaultStates" (06cefb2b-534e-4453-9aba-fe53329197ad)
" ], "text/plain": [ - "]>" + "[0] " ] }, - "execution_count": 16, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -490,7 +545,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 11, "id": "b5751a0d", "metadata": {}, "outputs": [ @@ -500,10 +555,12 @@ "
  1. State "normal defence" (e494e247-efce-4258-9cc6-fd799dbb0adf)
  2. State "erroneous defence" (81f3de46-4596-41b0-8569-c3c21161a2f6)
  3. State "no defence" (5b6a03d8-0ef9-4b2b-9a50-a745f490d663)
" ], "text/plain": [ - ", , ]>" + "[0] \n", + "[1] \n", + "[2] " ] }, - "execution_count": 17, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -523,7 +580,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3.10.6 ('venv')", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -537,7 +594,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.6" + "version": "3.11.5" }, "vscode": { "interpreter": { diff --git a/docs/source/examples/02 Intro to Physical Architecture API.ipynb b/docs/source/examples/02 Intro to Physical Architecture API.ipynb index 3d002dc9b..f358835dd 100644 --- a/docs/source/examples/02 Intro to Physical Architecture API.ipynb +++ b/docs/source/examples/02 Intro to Physical Architecture API.ipynb @@ -98,7 +98,7 @@ "source": [ "## Example 1: List components that are visible on a diagram\n", "\n", - "To start, lets get all parts on that diagram and turn them into PhysicalComponents" + "To start, let's get all parts on that diagram and turn them into PhysicalComponents." ] }, { @@ -149,9 +149,9 @@ "id": "aab38c3e", "metadata": {}, "source": [ - "we could also get all components across PA layer by doing `model.pa.all_components` but we will not go there in this example.\n", + "We could also get all components across the entire PA layer by doing `model.pa.all_components`, but we will not go there in this example.\n", "\n", - "We can review any single component from that list above" + "We can review any single component from that list above:" ] }, { @@ -226,7 +226,7 @@ "source": [ "However we may need just a few of those attributes in a view.\n", "\n", - "Now that we have a list of components lets collect some of the attributes of interest in a table. To keep it simple we'll introduce an attribute extractor function that will turn fields of interset into a nice dictionary." + "Now that we have a list of components lets collect some of the attributes of interest in a table. To keep it simple we'll introduce an attribute extractor function that will turn fields of interest into a nice dictionary." ] }, { @@ -250,7 +250,7 @@ "id": "55d509d0", "metadata": {}, "source": [ - "we can then apply that extractor function to our list of components and use `pandas` to display it for us in a tabular form" + "We can then apply that extractor function to our list of components and use `pandas` to display it for us in a tabular form:" ] }, { @@ -466,9 +466,9 @@ "source": [ "## Example 2: Create HW-SW allocation table\n", "\n", - "Now lets assume that components of node nature are hardware things and behavior corresponds to software components. Assuming that lets identify leaf hardware components (lowest replaceable units) and for each of those indicate which software components they have.\n", + "Now let's assume that components of \"Node\" nature are hardware things and \"Behavior\" corresponds to software components. Assuming that, let's identify leaf hardware components (lowest replaceable units), and for each of those indicate which software components they have.\n", "\n", - "To get there lets first filter out the list of components of Node nature that have at least on subcomponent of Behavior nature. To get to the end result quicker we'll use the `._filter` method of our object list. To use that method we'll need to provide a function that selects attribute of interest and a value (or list of values) that this attribute should have to be selected. To shorten the expression we'll use `lambda` functions - a way to define new function in place." + "To get there, let's first filter out the list of components of \"Node\" nature that have at least one subcomponent of \"Behavior\" nature. We'll use the `.filter` method of our object list. To use that method we'll need to provide a function or lambda that determines whether an object should be selected. We can also make use of the implicit \"truthiness\" of non-empty list attributes:" ] }, { @@ -552,7 +552,7 @@ "id": "8086d62c", "metadata": {}, "source": [ - "lets apply `get_sw_components` function to the complete list of components with SW, `cmps_with_sw` and turn the results into a table. In this table we'll serialize SW components into a ;-separated string:" + "Let's apply the `get_sw_components` function to the complete list of components with SW, `cmps_with_sw`, and turn the results into a table. In this table we'll serialize SW components into a semicolon-separated string:" ] }, { @@ -664,7 +664,7 @@ "id": "851b0540", "metadata": {}, "source": [ - "to complete the picture we could also list all HW components that dont have software (so that a sanity check could be performed)" + "To complete the picture, we could also list all HW components that don't have software (so that a sanity check could be performed):" ] }, { @@ -704,9 +704,9 @@ ], "metadata": { "kernelspec": { - "display_name": "venv", + "display_name": "Python 3 (ipykernel)", "language": "python", - "name": "venv" + "name": "python3" }, "language_info": { "codemirror_mode": { @@ -718,7 +718,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.6" + "version": "3.11.5" } }, "nbformat": 4, diff --git a/docs/source/examples/03 Data Values.ipynb b/docs/source/examples/03 Data Values.ipynb index 1e8b61a8e..78dd996c9 100644 --- a/docs/source/examples/03 Data Values.ipynb +++ b/docs/source/examples/03 Data Values.ipynb @@ -72,24 +72,29 @@ { "data": { "text/html": [ - "

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packages
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xtypeorg.polarsys.capella.core.data.information:DataPkg
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filtering_criteria

(Empty list)

nameData
packages
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uuid39e99d4a-a32c-4b70-b4b6-d03fec612e17
xtypeorg.polarsys.capella.core.data.information:DataPkg
" ], "text/plain": [ "\n", + ".applied_property_value_groups = []\n", + ".applied_property_values = []\n", ".classes = [0] \n", " [1] \n", " [2] \n", ".collections = []\n", ".complex_values = []\n", ".constraints = []\n", - ".description = None\n", + ".description = ''\n", ".diagrams = [0] \n", ".enumerations = [0] \n", " [1] \n", + ".filtering_criteria = []\n", ".name = 'Data'\n", ".packages = [0] \n", ".parent = \n", ".progress_status = 'NOT_SET'\n", + ".property_value_groups = []\n", + ".property_values = []\n", ".requirements = []\n", ".summary = None\n", ".traces = []\n", @@ -124,13 +129,16 @@ { "data": { "text/html": [ - "

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superNone
traces

(Empty list)

uuid546cd75a-c7ac-4e07-9d2d-8a1f93d82419
xtypeorg.polarsys.capella.core.data.information.datatype:Enumeration
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Wand Core (org.polarsys.capella.core.data.information.datatype:Enumeration)

applied_property_value_groups

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applied_property_values

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(Empty list)

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literals
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nameWand Core
owned_literals
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parentDataPkg "Data" (39e99d4a-a32c-4b70-b4b6-d03fec612e17)
progress_statusNOT_SET
property_value_groups

(Empty list)

property_values

(Empty list)

requirements

(Empty list)

subBackreference to Enumeration - omitted: can be slow to compute. Display this property directly to show.
summaryNone
superNone
traces

(Empty list)

uuid546cd75a-c7ac-4e07-9d2d-8a1f93d82419
xtypeorg.polarsys.capella.core.data.information.datatype:Enumeration
" ], "text/plain": [ "\n", + ".applied_property_value_groups = []\n", + ".applied_property_values = []\n", ".constraints = []\n", - ".description = None\n", + ".description = ''\n", ".diagrams = []\n", + ".filtering_criteria = []\n", ".literals = [0] \n", " [1] \n", " [2] \n", @@ -142,8 +150,10 @@ " [3] \n", ".parent = \n", ".progress_status = 'NOT_SET'\n", + ".property_value_groups = []\n", + ".property_values = []\n", ".requirements = []\n", - ".sub = []\n", + ".sub = ... # backreference to Enumeration - omitted: can be slow to compute\n", ".summary = None\n", ".super = None\n", ".traces = []\n", @@ -166,6 +176,7 @@ "metadata": {}, "source": [ "Let's do the same for a class. Again, we can see the properties of the super class and the properties of the own model element.\n", + "\n", "![Harry's Wand](../_static/img/harrys_wand.png)" ] }, @@ -178,27 +189,37 @@ { "data": { "text/html": [ - "

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constraints

(Empty list)

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parentDataPkg "Data" (39e99d4a-a32c-4b70-b4b6-d03fec612e17)
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(Empty list)

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(Empty list)

sub

(Empty list)

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traces

(Empty list)

uuidc710f1c2-ede6-444e-9e2b-0ff30d7fd040
visibility<VisibilityKind.UNSET: 1>
xtypeorg.polarsys.capella.core.data.information:Class
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property_value_groups

(Empty list)

property_values

(Empty list)

realizations
  1. InformationRealization "" (793520e1-acbf-4f93-a219-587840aa5a3b)
realized_byBackreference to Class - omitted: can be slow to compute. Display this property directly to show.
realized_classes
  1. Class "SpecialTwist" (0fef2887-04ce-4406-b1a1-a1b35e1ce0f3)
requirements

(Empty list)

state_machines

(Empty list)

subBackreference to Class - omitted: can be slow to compute. Display this property directly to show.
summaryNone
superClass "Branch" (2b34c799-769c-42f2-8a1b-4533dba209a0)
traces

(Empty list)

uuidc710f1c2-ede6-444e-9e2b-0ff30d7fd040
visibility<VisibilityKind.UNSET: 1>
xtypeorg.polarsys.capella.core.data.information:Class
" ], "text/plain": [ "\n", + ".applied_property_value_groups = []\n", + ".applied_property_values = []\n", ".constraints = []\n", - ".description = None\n", + ".description = ''\n", ".diagrams = []\n", + ".filtering_criteria = []\n", ".is_abstract = False\n", ".is_final = False\n", ".is_primitive = False\n", ".name = 'Wand'\n", ".owned_properties = [0] \n", " [1] \n", + " [2] \n", ".parent = \n", ".progress_status = 'NOT_SET'\n", ".properties = [0] \n", " [1] \n", - " [2] \n", + " [2] \n", + " [3] \n", + ".property_value_groups = []\n", + ".property_values = []\n", + ".realizations = [0] \n", + ".realized_by = ... # backreference to Class - omitted: can be slow to compute\n", + ".realized_classes = [0] \n", ".requirements = []\n", ".state_machines = []\n", - ".sub = []\n", + ".sub = ... # backreference to Class - omitted: can be slow to compute\n", ".summary = None\n", ".super = \n", ".traces = []\n", @@ -228,22 +249,23 @@ "cell_type": "code", "execution_count": 5, "id": "56bb4b44", - "metadata": { - "scrolled": false - }, + "metadata": {}, "outputs": [ { "data": { "text/html": [ - "

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constraints

(Empty list)

default_valueNone
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diagrams

(Empty list)

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maxNone
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null_valueNone
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(Empty list)

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(Empty list)

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uuid9b1f6d9c-58d6-4e5e-a0f1-822cb5440a51
visibility<VisibilityKind.UNSET: 1>
xtypeorg.polarsys.capella.core.data.information:Property
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owner (org.polarsys.capella.core.data.information:Property)

applied_property_value_groups

(Empty list)

applied_property_values

(Empty list)

associationBackreference to Association - omitted: can be slow to compute. Display this property directly to show.
constraints

(Empty list)

default_valueNone
description
diagrams

(Empty list)

filtering_criteria

(Empty list)

is_abstractFalse
is_derivedFalse
is_orderedFalse
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maxNone
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min_cardLiteralNumericValue "": 1 (95d6a6e5-6442-408d-afb2-d8f7a24c5f56)
nameowner
null_valueNone
parentClass "Wand" (c710f1c2-ede6-444e-9e2b-0ff30d7fd040)
progress_statusNOT_SET
property_value_groups

(Empty list)

property_values

(Empty list)

requirements

(Empty list)

summaryNone
traces

(Empty list)

typeGenericElement "String" (b2f035e6-78c8-4dfd-99f0-bf4a40ea3e81)
uuid9b1f6d9c-58d6-4e5e-a0f1-822cb5440a51
visibility<VisibilityKind.UNSET: 1>
xtypeorg.polarsys.capella.core.data.information:Property
" ], "text/plain": [ "\n", - ".association = None\n", + ".applied_property_value_groups = []\n", + ".applied_property_values = []\n", + ".association = ... # backreference to Association - omitted: can be slow to compute\n", ".constraints = []\n", ".default_value = None\n", - ".description = None\n", + ".description = ''\n", ".diagrams = []\n", + ".filtering_criteria = []\n", ".is_abstract = False\n", ".is_derived = False\n", ".is_ordered = False\n", @@ -253,13 +275,15 @@ ".is_unique = False\n", ".kind = \n", ".max = None\n", - ".max_card = \n", + ".max_card = \n", ".min = None\n", - ".min_card = \n", + ".min_card = \n", ".name = 'owner'\n", ".null_value = None\n", ".parent = \n", ".progress_status = 'NOT_SET'\n", + ".property_value_groups = []\n", + ".property_values = []\n", ".requirements = []\n", ".summary = None\n", ".traces = []\n", @@ -297,15 +321,18 @@ { "data": { "text/html": [ - "

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diagrams

(Empty list)

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min_cardLiteralNumericValue "": 1 (1df38231-5a0a-4c47-8c99-96119b8b8af8)
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requirements

(Empty list)

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(Empty list)

typeClass "Waypoint" (c89849fd-0643-4708-a4da-74c9ea9ca7b1)
uuid424efd65-eaa9-4220-b61b-fb3340dbc19a
visibility<VisibilityKind.UNSET: 1>
xtypeorg.polarsys.capella.core.data.information:Property
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waypoints (org.polarsys.capella.core.data.information:Property)

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(Empty list)

applied_property_values

(Empty list)

associationBackreference to Association - omitted: can be slow to compute. Display this property directly to show.
constraints

(Empty list)

default_valueNone
description
diagrams

(Empty list)

filtering_criteria

(Empty list)

is_abstractFalse
is_derivedFalse
is_orderedFalse
is_part_of_keyFalse
is_read_onlyFalse
is_staticFalse
is_uniqueFalse
kind<AggregationKind.COMPOSITION: 4>
maxNone
max_cardLiteralNumericValue "": inf (57d146cf-6e40-42f4-9413-1cd0240d1431)
minNone
min_cardLiteralNumericValue "": 1 (1df38231-5a0a-4c47-8c99-96119b8b8af8)
namewaypoints
null_valueNone
parentClass "Trajectory" (c3c96805-d6f6-4092-b9f4-df7970651cdc)
progress_statusNOT_SET
property_value_groups

(Empty list)

property_values

(Empty list)

requirements

(Empty list)

summaryNone
traces

(Empty list)

typeClass "Waypoint" (c89849fd-0643-4708-a4da-74c9ea9ca7b1)
uuid424efd65-eaa9-4220-b61b-fb3340dbc19a
visibility<VisibilityKind.UNSET: 1>
xtypeorg.polarsys.capella.core.data.information:Property
" ], "text/plain": [ "\n", - ".association = \n", + ".applied_property_value_groups = []\n", + ".applied_property_values = []\n", + ".association = ... # backreference to Association - omitted: can be slow to compute\n", ".constraints = []\n", ".default_value = None\n", - ".description = None\n", + ".description = ''\n", ".diagrams = []\n", + ".filtering_criteria = []\n", ".is_abstract = False\n", ".is_derived = False\n", ".is_ordered = False\n", @@ -315,13 +342,15 @@ ".is_unique = False\n", ".kind = \n", ".max = None\n", - ".max_card = \n", + ".max_card = \n", ".min = None\n", - ".min_card = \n", + ".min_card = \n", ".name = 'waypoints'\n", ".null_value = None\n", ".parent = \n", ".progress_status = 'NOT_SET'\n", + ".property_value_groups = []\n", + ".property_values = []\n", ".requirements = []\n", ".summary = None\n", ".traces = []\n", @@ -358,22 +387,28 @@ { "data": { "text/html": [ - "

Association (org.polarsys.capella.core.data.information:Association)

constraints

(Empty list)

descriptionNone
diagrams

(Empty list)

namewaypoint association
navigable_members
  1. Property "waypoints" (424efd65-eaa9-4220-b61b-fb3340dbc19a)
parentDataPkg "Data" (814464a3-3278-48eb-b66c-e255ed11afa8)
progress_statusNOT_SET
requirements

(Empty list)

roles
  1. Property "trajectory" (c0e5b34c-297e-4b3c-8957-58bbe4d36199)
  2. Property "waypoints" (424efd65-eaa9-4220-b61b-fb3340dbc19a)
source_roleProperty "trajectory" (c0e5b34c-297e-4b3c-8957-58bbe4d36199)
summaryFind waypoints and you will finish consistently.
traces

(Empty list)

uuid3d738685-83e8-45f9-ade2-d5bcc6de1a0c
xtypeorg.polarsys.capella.core.data.information:Association
" + "

waypoint association (org.polarsys.capella.core.data.information:Association)

applied_property_value_groups

(Empty list)

applied_property_values

(Empty list)

constraints

(Empty list)

description
diagrams

(Empty list)

filtering_criteria

(Empty list)

members
  1. Property "trajectory" (c0e5b34c-297e-4b3c-8957-58bbe4d36199)
namewaypoint association
navigable_members
  1. Property "waypoints" (424efd65-eaa9-4220-b61b-fb3340dbc19a)
parentDataPkg "Data" (814464a3-3278-48eb-b66c-e255ed11afa8)
progress_statusNOT_SET
property_value_groups

(Empty list)

property_values

(Empty list)

requirements

(Empty list)

roles
  1. Property "trajectory" (c0e5b34c-297e-4b3c-8957-58bbe4d36199)
  2. Property "waypoints" (424efd65-eaa9-4220-b61b-fb3340dbc19a)
source_roleProperty "trajectory" (c0e5b34c-297e-4b3c-8957-58bbe4d36199)
summaryFind waypoints and you will finish consistently.
traces

(Empty list)

uuid3d738685-83e8-45f9-ade2-d5bcc6de1a0c
xtypeorg.polarsys.capella.core.data.information:Association
" ], "text/plain": [ "\n", + ".applied_property_value_groups = []\n", + ".applied_property_values = []\n", ".constraints = []\n", - ".description = None\n", + ".description = ''\n", ".diagrams = []\n", + ".filtering_criteria = []\n", + ".members = [0] \n", ".name = 'waypoint association'\n", ".navigable_members = [0] \n", ".parent = \n", ".progress_status = 'NOT_SET'\n", + ".property_value_groups = []\n", + ".property_values = []\n", ".requirements = []\n", ".roles = [0] \n", " [1] \n", ".source_role = \n", - ".summary = Markup('Find waypoints and you will finish consistently.')\n", + ".summary = 'Find waypoints and you will finish consistently.'\n", ".traces = []\n", ".uuid = '3d738685-83e8-45f9-ade2-d5bcc6de1a0c'\n", ".xtype = 'org.polarsys.capella.core.data.information:Association'" @@ -415,40 +450,55 @@ { "data": { "text/html": [ - "

ComplexValue (org.polarsys.capella.core.data.information.datavalue:ComplexValue)

constraints

(Empty list)

descriptionNone
diagrams

(Empty list)

nameHarry's Wand
parentDataPkg "Wand Objects" (880af86d-6fac-4fba-a559-2fffd036fa9a)
progress_statusNOT_SET
requirements

(Empty list)

summaryNone
traces

(Empty list)

typeClass "Wand" (c710f1c2-ede6-444e-9e2b-0ff30d7fd040)
uuid3a467d68-f53c-4d66-9d32-fe032a8cb2c5
value_parts
  1. ValuePart "(Unnamed org.polarsys.capella.core.data.information.datavalue:ValuePart)": \n", + "

    Harry's Wand (org.polarsys.capella.core.data.information.datavalue:ComplexValue)

    applied_property_value_groups

    (Empty list)

    applied_property_values

    (Empty list)

    constraints

    (Empty list)

    description
    diagrams

    (Empty list)

    filtering_criteria

    (Empty list)

    nameHarry's Wand
    parentDataPkg "Wand Objects" (880af86d-6fac-4fba-a559-2fffd036fa9a)
    progress_statusNOT_SET
    property_value_groups

    (Empty list)

    property_values

    (Empty list)

    requirements

    (Empty list)

    summaryNone
    traces

    (Empty list)

    typeClass "Wand" (c710f1c2-ede6-444e-9e2b-0ff30d7fd040)
    uuid3a467d68-f53c-4d66-9d32-fe032a8cb2c5
    value_parts
    1. ValuePart "": \n", + ".applied_property_value_groups = []\n", + ".applied_property_values = []\n", ".constraints = []\n", - ".description = None\n", + ".description = ''\n", ".diagrams = []\n", + ".filtering_criteria = []\n", ".is_abstract = False\n", ".name = 'LiteralStringValue'\n", - ".parent = \n", + ".parent = \n", ".progress_status = 'NOT_SET'\n", + ".property_value_groups = []\n", + ".property_values = []\n", ".requirements = []\n", ".summary = None\n", ".traces = []\n", ".type = \n", ".uuid = 'f7b00d88-cf53-4ae0-a0e6-bb2049b4bdea'\n", ".value = 'Harry Potter'\n", - ".xtype = 'org.polarsys.capella.core.data.information.datavalue:LiteralStringValue' (c996225b-5b1f-4d53-83cb-2bc72597e8ad)
    2. ValuePart "(Unnamed org.polarsys.capella.core.data.information.datavalue:ValuePart)": \n", + ".xtype = 'org.polarsys.capella.core.data.information.datavalue:LiteralStringValue' (c996225b-5b1f-4d53-83cb-2bc72597e8ad)
    3. ValuePart "": \n", + ".applied_property_value_groups = []\n", + ".applied_property_values = []\n", ".constraints = []\n", - ".description = None\n", + ".description = ''\n", ".diagrams = []\n", + ".filtering_criteria = []\n", ".name = 'EnumerationReference'\n", - ".parent = \n", + ".parent = \n", ".progress_status = 'NOT_SET'\n", + ".property_value_groups = []\n", + ".property_values = []\n", ".requirements = []\n", ".summary = None\n", ".traces = []\n", ".type = \n", ".uuid = '3406b669-4572-44e9-b703-1e319c350e9b'\n", ".value = \n", - ".xtype = 'org.polarsys.capella.core.data.information.datavalue:EnumerationReference' (66da894f-6261-47ac-9ad7-217db04671d2)
    4. ValuePart "(Unnamed org.polarsys.capella.core.data.information.datavalue:ValuePart)": \n", + ".xtype = 'org.polarsys.capella.core.data.information.datavalue:EnumerationReference' (66da894f-6261-47ac-9ad7-217db04671d2)
    5. ValuePart "": \n", + ".applied_property_value_groups = []\n", + ".applied_property_values = []\n", ".constraints = []\n", - ".description = None\n", + ".description = ''\n", ".diagrams = []\n", + ".filtering_criteria = []\n", ".name = 'EnumerationReference'\n", - ".parent = \n", + ".parent = \n", ".progress_status = 'NOT_SET'\n", + ".property_value_groups = []\n", + ".property_values = []\n", ".requirements = []\n", ".summary = None\n", ".traces = []\n", @@ -459,20 +509,25 @@ ], "text/plain": [ "\n", + ".applied_property_value_groups = []\n", + ".applied_property_values = []\n", ".constraints = []\n", - ".description = None\n", + ".description = ''\n", ".diagrams = []\n", + ".filtering_criteria = []\n", ".name = \"Harry's Wand\"\n", ".parent = \n", ".progress_status = 'NOT_SET'\n", + ".property_value_groups = []\n", + ".property_values = []\n", ".requirements = []\n", ".summary = None\n", ".traces = []\n", ".type = \n", ".uuid = '3a467d68-f53c-4d66-9d32-fe032a8cb2c5'\n", - ".value_parts = [0] \n", - " [1] \n", - " [2] \n", + ".value_parts = [0] \n", + " [1] \n", + " [2] \n", ".xtype = 'org.polarsys.capella.core.data.information.datavalue:ComplexValue'" ] }, @@ -524,9 +579,9 @@ ], "metadata": { "kernelspec": { - "display_name": "venv", + "display_name": "Python 3 (ipykernel)", "language": "python", - "name": "venv" + "name": "python3" }, "language_info": { "codemirror_mode": { @@ -538,7 +593,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.6" + "version": "3.11.5" } }, "nbformat": 4, diff --git a/docs/source/examples/04 Intro to Jinja templating.ipynb b/docs/source/examples/04 Intro to Jinja templating.ipynb index f668ce616..fbbe8125e 100644 --- a/docs/source/examples/04 Intro to Jinja templating.ipynb +++ b/docs/source/examples/04 Intro to Jinja templating.ipynb @@ -48,7 +48,8 @@ "from IPython.core.display import HTML\n", "\n", "path_to_model = \"../../../tests/data/melodymodel/5_0/Melody Model Test.aird\"\n", - "model = capellambse.MelodyModel(path_to_model, jupyter_untrusted=True)" + "model = capellambse.MelodyModel(path_to_model, jupyter_untrusted=True)\n", + "env = jinja2.Environment()" ] }, { @@ -60,7 +61,7 @@ "all actors and plant the name, uuid and description into it.\n", "\n", "*Hint: Make sure that you know of capella's [metamodel] as we are implementing the\n", - "capellambse.layers as close as possible to it while being as efficiently and pythonic\n", + "capellambse.layers as close as possible to it while being as efficient and pythonic\n", "we can be currently. This knowledge can shorten used statements in the template immensely!*\n", "\n", "[metamodel]: https://dsd-dbs.github.io/py-capellambse/start/intro-to-api.html" @@ -92,17 +93,22 @@ "

      Harry J. Potter

      \n", "

      Actor definition

      \n", "

      UUID: a8c46457-a702-41c4-a971-c815c4c5a674

      \n", - "

      None

      \n", + "

      \n", "\n", "

      R. Weasley

      \n", "

      Actor definition

      \n", "

      UUID: ff7b8672-84db-4b93-9fea-22a410907fb1

      \n", - "

      None

      \n", + "

      \n", "\n", - "

      LogicalActor 5

      \n", + "

      Voldemort

      \n", "

      Actor definition

      \n", "

      UUID: 3e0ee19f-0e3f-49d4-ae99-29bd4a3260c5

      \n", - "

      None

      \n" + "

      \n", + "\n", + "

      Multiport

      \n", + "

      Actor definition

      \n", + "

      UUID: b3888dad-a870-4b8b-97d4-0ddb83ef9251

      \n", + "

      \n" ], "text/plain": [ "" @@ -114,7 +120,6 @@ } ], "source": [ - "env = jinja2.Environment()\n", "templ = \"\"\"\n", "

      Actor definitions

      \n", "{% for actor in model.la.all_components.by_is_actor(True) %}\n", @@ -135,7 +140,7 @@ "As an extra: We don't use the UUID from capella in our documents. If you still\n", "need an identifier, in the following it's explained how we are doing it:\n", "\n", - "With the capella PVMT, one of the various capella [addons], you can make property\n", + "With the capella PVMT, one of the various capella addons, you can make property\n", "value groups and then set arbitrary values with these. Capellambse is able to recognize\n", "the pvmt extension and gives read and write access. In our workflows we are maintaining\n", "an ID database for all model elements. If that is done you can access pvmt attributes\n", @@ -189,6 +194,38 @@ "

      Actor definitions

      \n", "\n", "\n", + "

      Harry J. Potter

      \n", + "

      Actor definition

      \n", + "

      \n", + "

      Actor functions

      \n", + " \n", + "

      The table below identifies functions of Harry J. Potter.

      \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
      IDFunctionDescriptionInvolved Subsystems
      aa9931e3-116c-461e-8215-6b9fdbdd4a1bkill He Who Must Not Be NamedLearning
      \n", + "

      Functions of Harry J. Potter

      \n", + " \n", + "\n", "

      Prof. A. P. W. B. Dumbledore

      \n", "

      Actor definition

      \n", "

      Principal of Hogwarts, wearer of the elder wand and greatest mage of all time.

      \n", @@ -199,7 +236,8 @@ " \n", " \n", " \n", - " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -209,32 +247,26 @@ " \n", " \n", " \n", - " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", "
      ID, FunctionIDFunctionDescriptionInvolved Subsystems
      \n", - "

      f708bc29-d69f-42a0-90cc-11fc01054cd0

      \n", - "

      manage the school

      \n", - "       		Nonef708bc29-d69f-42a0-90cc-11fc01054cd0manage the school
      \n", - "

      beaf5ba4-8fa9-4342-911f-0266bb29be45

      \n", - "

      advise Harry

      \n", - "       		Nonebeaf5ba4-8fa9-4342-911f-0266bb29be45advise Harry
      \n", - "

      Functions of Prof. A. P. W. B. Dumbledore

      \n", + "

      Functions of Prof. A. P. W. B. Dumbledore

      \n", " \n", "\n", "

      Prof. S. Snape

      \n", @@ -247,7 +279,8 @@ " \n", " \n", " \n", - " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -257,44 +290,39 @@ " \n", " \n", " \n", - " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", "
      ID, FunctionIDFunctionDescriptionInvolved Subsystems
      \n", - "

      a7acb298-d14b-4707-a419-fea272434541

      \n", - "

      teach Potions

      \n", - "       		NoneHogwartsa7acb298-d14b-4707-a419-fea272434541TeachingTeacher Responsibilities
      \n", - "

      4a2a7f3c-d223-4d44-94a7-50dd2906a70c

      \n", - "

      maintain a layer of defense for the Sorcerer's Stone

      \n", - "       		None4a2a7f3c-d223-4d44-94a7-50dd2906a70cmaintain a layer of defense for the Sorcerer's Stone
      \n", - "

      Functions of Prof. S. Snape

      \n", + "

      Functions of Prof. S. Snape

      \n", " \n", "\n", - "

      Harry J. Potter

      \n", + "

      Multiport

      \n", "

      Actor definition

      \n", - "

      None

      \n", + "

      \n", "

      Actor functions

      \n", " \n", - "

      The table below identifies functions of Harry J. Potter.

      \n", + "

      The table below identifies functions of Multiport.

      \n", " \n", " \n", " \n", - " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -304,31 +332,37 @@ " \n", " \n", " \n", - " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", "
      ID, FunctionIDFunctionDescriptionInvolved Subsystems
      \n", - "

      aa9931e3-116c-461e-8215-6b9fdbdd4a1b

      \n", - "

      kill He Who Must Not Be Named

      \n", - "       		NoneSchool9c1885f5-fac7-48fd-9d54-a11092508867LAF 1C 5
      \n", - "

      Functions of Harry J. Potter

      \n", + "

      Functions of Multiport

      \n", + " \n", + "\n", + "

      Voldemort

      \n", + "

      Actor definition

      \n", + "

      \n", + "

      Actor functions

      \n", + " \n", + "

      No actor functions were identified.

      \n", " \n", "\n", "

      R. Weasley

      \n", "

      Actor definition

      \n", - "

      None

      \n", + "

      \n", "

      Actor functions

      \n", " \n", "

      The table below identifies functions of R. Weasley.

      \n", " \n", " \n", " \n", - " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -338,40 +372,26 @@ " \n", " \n", " \n", - " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", "
      ID, FunctionIDFunctionDescriptionInvolved Subsystems
      \n", - "

      c1a42acc-1f53-42bb-8404-77a5c08c414b

      \n", - "

      assist Harry

      \n", - "       		Nonec1a42acc-1f53-42bb-8404-77a5c08c414bassist Harry
      \n", - "

      edbd1ad4-31c0-4d53-b856-3ffa60e0e99b

      \n", - "

      break school rules

      \n", - "       		NoneWhomping Willowedbd1ad4-31c0-4d53-b856-3ffa60e0e99bbreak school rulesPunishment
      \n", - "

      Functions of R. Weasley

      \n", - " \n", - "\n", - "

      LogicalActor 5

      \n", - "

      Actor definition

      \n", - "

      None

      \n", - "

      Actor functions

      \n", - " \n", - "

      No actor functions were identified.

      \n", + "

      Functions of R. Weasley

      \n", " \n" ], "text/plain": [ @@ -386,8 +406,7 @@ "source": [ "templ1 = \"\"\"\n", "

      Actor definitions

      \n", - "{% set fexs = model.la.actor_exchanges | map(attribute=\"func_exchanges\") | map('list')\n", - " | sum(start=[]) | list %}\n", + "{% set fexs = model.la.actor_exchanges.map(\"func_exchanges\") %}\n", "{% for actor in model.la.all_actors %}\n", "

      {{ actor.name }}

      \n", "

      Actor definition

      \n", @@ -398,31 +417,27 @@ " \n", " \n", " \n", - " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " {% for fnc in actor.functions %}\n", - " {% set ports = fnc.inputs + fnc.outputs %}\n", - " {% set outs = (fexs | selectattr(\"source_port\", \"in\", ports) | list) \n", - " | map(attribute=\"target_port.owner.owner.name\") | list %}\n", - " {% set ins = (fexs | selectattr(\"target_port\", \"in\", ports) | list)\n", - " | map(attribute=\"source_port.owner.owner.name\") | list %}\n", - " {% set subs = (ins + outs) | unique | list %}\n", + " {% set outs = fexs.by_source.owner(fnc) %}\n", + " {% set ins = fexs.by_target.owner(fnc) %}\n", + " {% set subs = (ins + outs) | map(attribute=\"owner.name\") | unique | sort %}\n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " {% endfor %}\n", " \n", "
      ID, FunctionIDFunctionDescriptionInvolved Subsystems
      \n", - "

      {{ fnc.uuid }}

      \n", - "

      {{ fnc.name }}

      \n", - "       		{{ fnc.description }}{{ subs | join(', ') }}{{ fnc.uuid }}{{ fnc.name }}{{ fnc.description }}{{ subs | join(', ') }}
      \n", - "

      Functions of {{ actor.name }}

      \n", + "

      Functions of {{ actor.name }}

      \n", " {% else %}\n", "

      No actor functions were identified.

      \n", " {% endif %}\n", @@ -461,12 +476,12 @@ { "data": { "text/html": [ - "

      Wizzard Education

      \n", - "\n", "

      Hogwarts

      \n", "

      This instance is the mighty Hogwarts. Do you really need a description? Then maybe read the books or watch atleast the epic movies.

      \n", "\n", - "\n", + "
      Figure 1: [LAB] Wizzard Education
      \n", + " \n", + "
      Figure 1: [LAB] Wizzard Education
      LFHogwartsproduce GreatWizardsprotectStudentsagainst theDeath EatersCampusSchooleducate WizardsWhomping Willowdefend thesurrounding areaagainst IntrudersProf. A. P. W. B.Dumbledoremanage theschooladviseHarryProf. S. SnapeteachPotionsmaintain alayer ofdefense fortheSorcerer'sStoneHarry J. Potterkill He WhoMust Not BeNamedR. Weasleyassist Harrybreak schoolruleswizardryHeadmasterResponsibilitiesTeacherResponsibilitiesHelp for HarryKnowledgePunishmentLearningeducate & maturefriendshipassistanceCareKnowledgepunish
      " + "LFHogwartsproduce GreatWizardsprotectStudentsagainst theDeath EatersCampusSchooleducate WizardsWhomping Willowdefend thesurrounding areaagainst IntrudersProf. A. P. W. B.Dumbledoremanage theschooladviseHarryProf. S. SnapeTeachingmaintain alayer ofdefense fortheSorcerer'sStoneHarry J. Potterkill He WhoMust Not BeNamedR. Weasleyassist Harrybreak schoolruleswizardryHeadmasterResponsibilitiesTeacherResponsibilitiesHelp for HarryKnowledgePunishmentLearningeducate & maturefriendshipassistanceCarepunisheducate
      " ], "text/plain": [ "" @@ -551,24 +567,21 @@ } ], "source": [ - "figure_markup = (\n", - " \"\"\n", - " \"\"\n", - " \"\"\n", - " \"
      Figure {fig_id}: {caption}
      {diagram}
      \"\n", - ")\n", - "templ = \"\"\"

      Wizzard Education

      \n", - "{% set hogwarts = model.la.all_components.by_name(\"Hogwarts\") %}\n", - "

      {{ hogwarts.name }}

      \n", - "{{ hogwarts.description }}\n", - "{{ figure_table }}\"\"\"\n", + "templ = \"\"\"\\\n", + "

      {{ component.name }}

      \n", + "{{ component.description }}\n", + "\n", + " \n", + " \n", + "
      Figure {{ fig_id }}: {{ fig_caption | e }}
      {{ figure.as_svg | safe }}
      \n", + "\"\"\"\n", "diagram = model.diagrams.by_name(\"[LAB] Wizzard Education\")\n", - "fig_table = figure_markup.format(\n", + "rendered = env.from_string(templ).render(\n", + " component=model.search(\"LogicalComponent\").by_name(\"Hogwarts\"),\n", " fig_id=1,\n", - " caption=f\"{diagram.name}\",\n", - " diagram=diagram.as_svg\n", + " fig_caption=diagram.name,\n", + " figure=diagram,\n", ")\n", - "rendered = env.from_string(templ).render(model=model, figure_table=fig_table)\n", "HTML(rendered)" ] }, @@ -589,7 +602,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Template-inheritance\n", + "## Template inheritance\n", "\n", "The last cell will present a routine where a full .html document is generated.\n", "Earlier rendered content were HTML-fragments to be precise. On top you can see\n", @@ -627,12 +640,12 @@ "\n", "\n", "\n", - "

      Wizzard Education

      \n", - "\n", - "

      Hogwarts

      \n", + "

      Hogwarts

      \n", "

      This instance is the mighty Hogwarts. Do you really need a description? Then maybe read the books or watch atleast the epic movies.

      \n", "\n", - "\n", + "
      Figure 1: [LAB] Wizzard Education
      \n", + " \n", + "
      Figure 1: [LAB] Wizzard Education
      LFHogwartsproduce GreatWizardsprotectStudentsagainst theDeath EatersCampusSchooleducate WizardsWhomping Willowdefend thesurrounding areaagainst IntrudersProf. A. P. W. B.Dumbledoremanage theschooladviseHarryProf. S. SnapeteachPotionsmaintain alayer ofdefense fortheSorcerer'sStoneHarry J. Potterkill He WhoMust Not BeNamedR. Weasleyassist Harrybreak schoolruleswizardryHeadmasterResponsibilitiesTeacherResponsibilitiesHelp for HarryKnowledgePunishmentLearningeducate & maturefriendshipassistanceCareKnowledgepunish
      \n", + "LFHogwartsproduce GreatWizardsprotectStudentsagainst theDeath EatersCampusSchooleducate WizardsWhomping Willowdefend thesurrounding areaagainst IntrudersProf. A. P. W. B.Dumbledoremanage theschooladviseHarryProf. S. SnapeTeachingmaintain alayer ofdefense fortheSorcerer'sStoneHarry J. Potterkill He WhoMust Not BeNamedR. Weasleyassist Harrybreak schoolruleswizardryHeadmasterResponsibilitiesTeacherResponsibilitiesHelp for HarryKnowledgePunishmentLearningeducate & maturefriendshipassistanceCarepunisheducate
      \n", + "\n", "\n", "" ], @@ -748,19 +763,19 @@ "\"\"\"\n", "\n", "env = jinja2.Environment(loader=jinja2.DictLoader({\"template.html\": final_templ}))\n", - "rendered = env.from_string(fig_templ).render(model=model, figure_table=fig_table)\n", + "rendered = env.from_string(fig_templ).render(\n", + " component=model.search(\"LogicalComponent\").by_name(\"Hogwarts\"),\n", + " fig_id=1,\n", + " fig_caption=diagram.name,\n", + " figure=diagram,\n", + ")\n", "HTML(rendered)" ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [] } ], "metadata": { "kernelspec": { - "display_name": "Python 3.10.6 64-bit", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -774,7 +789,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.6" + "version": "3.11.5" }, "vscode": { "interpreter": { @@ -783,5 +798,5 @@ } }, "nbformat": 4, - "nbformat_minor": 2 + "nbformat_minor": 4 } diff --git a/docs/source/examples/05 Introduction to Libraries.ipynb b/docs/source/examples/05 Introduction to Libraries.ipynb index 10e40acbf..f679d16b9 100644 --- a/docs/source/examples/05 Introduction to Libraries.ipynb +++ b/docs/source/examples/05 Introduction to Libraries.ipynb @@ -12,10 +12,8 @@ }, { "cell_type": "code", - "execution_count": 3, - "metadata": { - "scrolled": false - }, + "execution_count": 1, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -32,9 +30,7 @@ "try:\n", " capellambse.MelodyModel(path_to_model, jupyter_untrusted=True)\n", "except Exception as err:\n", - " print(f\"{type(err).__name__}: {err}\")\n", - "else:\n", - " print(\"There should have been an error here ...\")" + " print(f\"{type(err).__name__}: {err}\")" ] }, { @@ -54,7 +50,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -96,7 +92,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -128,7 +124,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -137,10 +133,11 @@ "
      1. [CDB] Library Product (uuid: _q-c-0KN2EeyJNLcTD9ngpQ)
      2. [LAB] E-Commerce (uuid: _SMS4sKFFEeyn0YWM8vjd5w)
      " ], "text/plain": [ - ", ]>" + "[0] \n", + "[1] " ] }, - "execution_count": 6, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -151,7 +148,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -167,12 +164,12 @@ }, { "data": { - "image/png": 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", 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", "text/plain": [ "" ] }, - "execution_count": 7, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -197,10 +194,8 @@ }, { "cell_type": "code", - "execution_count": 8, - "metadata": { - "scrolled": true - }, + "execution_count": 6, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -237,9 +232,9 @@ "hash": "e5607734f15d1b90b8506e690cd35fc527f703262c75faee6ce3cf6c6d2ff5b2" }, "kernelspec": { - "display_name": "venv", + "display_name": "Python 3 (ipykernel)", "language": "python", - "name": "venv" + "name": "python3" }, "language_info": { "codemirror_mode": { @@ -251,9 +246,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.6" + "version": "3.11.5" } }, "nbformat": 4, - "nbformat_minor": 2 + "nbformat_minor": 4 } diff --git a/docs/source/examples/06 Introduction to Requirement access and management.ipynb b/docs/source/examples/06 Introduction to Requirement access and management.ipynb index 0264b4e9c..986ff719a 100644 --- a/docs/source/examples/06 Introduction to Requirement access and management.ipynb +++ b/docs/source/examples/06 Introduction to Requirement access and management.ipynb @@ -18,14 +18,6 @@ "id": "a52777dd", "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Cannot load PVMT extension: ValueError: Provided model does not have a PropertyValuePkg\n", - "Property values are not available in this model\n" - ] - }, { "data": { "text/plain": [ @@ -65,7 +57,11 @@ "
      1. Requirement "TestReq1" (3c2d312c-37c9-41b5-8c32-67578fa52dc3)
      2. Requirement "TypedReq2" (0a9a68b1-ba9a-4793-b2cf-4448f0b4b8cc)
      3. Requirement "TestReq3" (79291c33-5147-4543-9398-9077d582576d)
      4. Requirement "TypedReq1" (85d41db2-9e17-438b-95cf-49342452ddf3)
      5. Requirement "TestReq" (1092f69a-5f3a-4fe6-a8fd-b2dffde90650)
      " ], "text/plain": [ - "Test requirement 1 really l o n g text that is way too long to display here as that

      \\n\\n

      < > " '

      \\n\\n
        \\n\\t
      • This is a list
        • \\n\\t
      • an unordered one
        • \\n
      \\n\\n
        \\n\\t
      1. Ordered list
        2. \\n\\t
      2. Ok
        3. \\n
      \\n' (3c2d312c-37c9-41b5-8c32-67578fa52dc3)>, , , , ]>" + "[0] \n", + "[1] \n", + "[2] \n", + "[3] \n", + "[4] " ] }, "execution_count": 2, @@ -94,12 +90,12 @@ { "data": { "text/html": [ - "

      Requirement (Requirements:Requirement)

      attributes
      1. BooleanValueAttribute "AttrDef" (9c692405-b8aa-4caa-b988-51d27db5cd1b)
      2. DateValueAttribute "AttrDef" (b97c09b5-948a-46e8-a656-69d764ddce7d)
      3. IntegerValueAttribute "AttrDef" (85dfd42c-7f6e-4236-a181-bdd784040431)
      4. RealValueAttribute "AttrDef" (d2231d14-854d-4625-b48b-6cf1c2554367)
      5. StringValueAttribute "AttrDef" (ee8a69ef-61b9-4db9-9a0f-628e5d4704e1)
      6. BooleanValueAttribute "None" (dcb8614e-2d1c-4cb3-aa0c-667a297e7489)
      chapter_name2
      constraints

      (Empty list)

      descriptionThis is a test requirement of kind 1.
      diagrams

      (Empty list)

      foreign_id1
      identifierREQTYPE-1
      long_name1
      nameTestReq1
      ownerRequirementsFolder "Folder" (e16f5cc1-3299-43d0-b1a0-82d31a137111)
      parentRequirementsFolder "Folder" (e16f5cc1-3299-43d0-b1a0-82d31a137111)
      prefix3
      progress_statusNOT_SET
      related
      1. Entity "Weather" (4bf0356c-89dd-45e9-b8a6-e0332c026d33)
      2. SystemFunction "Sysexfunc" (00e7b925-cf4c-4cb0-929e-5409a1cd872b)
      3. Requirement "TypedReq1" (85d41db2-9e17-438b-95cf-49342452ddf3)
      4. LogicalComponent "Hogwarts" (0d2edb8f-fa34-4e73-89ec-fb9a63001440)
      relations
      1. RequirementsIncRelation "Controlling the weather" (078b2c69-4352-4cf9-9ea5-6573b75e5eec)
      2. RequirementsIncRelation "Test req" (24c824ef-b187-4725-a051-a68707e82d70)
      3. RequirementsOutRelation "None" (57033242-3766-4961-8091-ce3d9326ed67)
      4. RequirementsIntRelation "None" (7de4c1a5-e106-4171-902a-502b816b60b0)
      requirements
      1. Entity "Weather" (4bf0356c-89dd-45e9-b8a6-e0332c026d33)
      2. SystemFunction "Sysexfunc" (00e7b925-cf4c-4cb0-929e-5409a1cd872b)
      3. Requirement "TypedReq1" (85d41db2-9e17-438b-95cf-49342452ddf3)
      4. LogicalComponent "Hogwarts" (0d2edb8f-fa34-4e73-89ec-fb9a63001440)
      summaryNone
      text

      Test requirement 1 really l o n g text that is way too long to display here as that

      \n", + "

      TestReq1 (Requirements:Requirement)

      applied_property_value_groups

      (Empty list)

      applied_property_values

      (Empty list)

      attributes
      1. BooleanValueAttribute "AttrDef" (9c692405-b8aa-4caa-b988-51d27db5cd1b)
      2. DateValueAttribute "AttrDef" (b97c09b5-948a-46e8-a656-69d764ddce7d)
      3. IntegerValueAttribute "AttrDef" (85dfd42c-7f6e-4236-a181-bdd784040431)
      4. RealValueAttribute "AttrDef" (d2231d14-854d-4625-b48b-6cf1c2554367)
      5. StringValueAttribute "AttrDef" (ee8a69ef-61b9-4db9-9a0f-628e5d4704e1)
      6. BooleanValueAttribute "None" (dcb8614e-2d1c-4cb3-aa0c-667a297e7489)
      chapter_name2
      constraints

      (Empty list)

      descriptionThis is a test requirement of kind 1.
      diagrams

      (Empty list)

      filtering_criteria

      (Empty list)

      foreign_id1
      identifierREQTYPE-1
      long_name1
      nameTestReq1
      ownerFolder "Folder" (e16f5cc1-3299-43d0-b1a0-82d31a137111)
      parentFolder "Folder" (e16f5cc1-3299-43d0-b1a0-82d31a137111)
      prefix3
      progress_statusNOT_SET
      property_value_groups

      (Empty list)

      property_values

      (Empty list)

      pvmt<capellambse.extensions.pvmt.PropertyValueProxy object at 0x7f3afe4e68d0>
      related
      1. Entity "Weather" (4bf0356c-89dd-45e9-b8a6-e0332c026d33)
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      4. CapellaOutgoingRelation "None" (57033242-3766-4961-8091-ce3d9326ed67)
      requirements
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      2. SystemFunction "Sysexfunc" (00e7b925-cf4c-4cb0-929e-5409a1cd872b)
      3. Requirement "TypedReq1" (85d41db2-9e17-438b-95cf-49342452ddf3)
      4. LogicalComponent "Hogwarts" (0d2edb8f-fa34-4e73-89ec-fb9a63001440)
      summaryNone
      text

      Test requirement 1 really l o n g text that is way too long to display here as that

      \n", "\n", - "

      < > \" '

      \n", + "

      < > " '

      \n", "\n", "
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      • This is a list
        • \n", + "\t
      • This is a list
        • \n", "\t
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      \n", "\n", @@ -107,10 +103,52 @@ "\t
    6. Ordered list
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        2. \\n\\t
      2. Ok
        3. \\n
      \\n' (3c2d312c-37c9-41b5-8c32-67578fa52dc3)>" + "\n", + ".applied_property_value_groups = []\n", + ".applied_property_values = []\n", + ".attributes = [0] \n", + " [1] \n", + " [2] \n", + " [3] \n", + " [4] \n", + " [5] \n", + ".chapter_name = '2'\n", + ".constraints = []\n", + ".description = 'This is a test requirement of kind 1.'\n", + ".diagrams = []\n", + ".filtering_criteria = []\n", + ".foreign_id = 1\n", + ".identifier = 'REQTYPE-1'\n", + ".long_name = '1'\n", + ".name = 'TestReq1'\n", + ".owner = \n", + ".parent = \n", + ".prefix = '3'\n", + ".progress_status = 'NOT_SET'\n", + ".property_value_groups = []\n", + ".property_values = []\n", + ".pvmt = \n", + ".related = [0] \n", + " [1] \n", + " [2] \n", + " [3] \n", + ".relations = [0] to (078b2c69-4352-4cf9-9ea5-6573b75e5eec)>\n", + " [1] to (24c824ef-b187-4725-a051-a68707e82d70)>\n", + " [2] to (7de4c1a5-e106-4171-902a-502b816b60b0)>\n", + " [3] to (57033242-3766-4961-8091-ce3d9326ed67)>\n", + ".requirements = [0] \n", + " [1] \n", + " [2] \n", + " [3] \n", + ".summary = None\n", + ".text = Markup('

      Test requirement 1 really l o n g text that is way too long to display here as that

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      < > " '

      \\n\\n
        \\n\\t
      • This is a list
        • \\n\\t
      • an unordered one
        • \\n
      \\n\\n
        \\n\\t
      1. Ordered [...]\n", + ".traces = []\n", + ".type = \n", + ".uuid = '3c2d312c-37c9-41b5-8c32-67578fa52dc3'\n", + ".xtype = 'Requirements:Requirement'" ] }, "execution_count": 3, @@ -141,10 +179,36 @@ { "data": { "text/html": [ - "

        RequirementsTypesFolder (CapellaRequirements:CapellaTypesFolder)

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        uuid67bba9cf-953c-4f0b-9986-41991c68d241
        xtypeCapellaRequirements:CapellaTypesFolder
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        RequirementType (Requirements:RequirementType)

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        xtypeRequirements:Requirement
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        typeNone
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        xtypeRequirements:Requirement
        " ], "text/plain": [ - "" + "\n", + ".applied_property_value_groups = []\n", + ".applied_property_values = []\n", + ".attributes = []\n", + ".chapter_name = None\n", + ".constraints = []\n", + ".description = None\n", + ".diagrams = []\n", + ".filtering_criteria = []\n", + ".foreign_id = None\n", + ".identifier = None\n", + ".long_name = None\n", + ".name = 'New showcase req1'\n", + ".owner = \n", + ".parent = \n", + ".prefix = None\n", + ".progress_status = 'NOT_SET'\n", + ".property_value_groups = []\n", + ".property_values = []\n", + ".pvmt = \n", + ".related = []\n", + ".relations = []\n", + ".requirements = []\n", + ".summary = None\n", + ".text = ''\n", + ".traces = []\n", + ".type = None\n", + ".uuid = '0ce7877e-68d6-4113-8aca-be69b2e25253'\n", + ".xtype = 'Requirements:Requirement'" ] }, "metadata": {}, @@ -210,10 +328,15 @@ { "data": { "text/html": [ - "
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        6. Requirement "TestReq" (1092f69a-5f3a-4fe6-a8fd-b2dffde90650)
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        1. Requirement "TestReq1" (3c2d312c-37c9-41b5-8c32-67578fa52dc3)
        2. Requirement "TypedReq2" (0a9a68b1-ba9a-4793-b2cf-4448f0b4b8cc)
        3. Requirement "TestReq3" (79291c33-5147-4543-9398-9077d582576d)
        4. Requirement "TypedReq1" (85d41db2-9e17-438b-95cf-49342452ddf3)
        5. Requirement "New showcase req1" (0ce7877e-68d6-4113-8aca-be69b2e25253)
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        < > " '

        \\n\\n
          \\n\\t
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          • \\n\\t
        • an unordered one
          • \\n
        \\n\\n
          \\n\\t
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        1. Requirement "TestReq1" (3c2d312c-37c9-41b5-8c32-67578fa52dc3)
        2. Requirement "TypedReq2" (0a9a68b1-ba9a-4793-b2cf-4448f0b4b8cc)
        3. Requirement "TestReq3" (79291c33-5147-4543-9398-9077d582576d)
        4. Requirement "TypedReq1" (85d41db2-9e17-438b-95cf-49342452ddf3)
        5. Requirement "TestReq" (1092f69a-5f3a-4fe6-a8fd-b2dffde90650)
        " ], "text/plain": [ - "Test requirement 1 really l o n g text that is way too long to display here as that

        \\n\\n

        < > " '

        \\n\\n
          \\n\\t
        • This is a list
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        • an unordered one
          • \\n
        \\n\\n
          \\n\\t
        1. Ordered list
          2. \\n\\t
        2. Ok
          3. \\n
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        1. Requirement "TestReq1" (3c2d312c-37c9-41b5-8c32-67578fa52dc3)
        2. Requirement "TypedReq2" (0a9a68b1-ba9a-4793-b2cf-4448f0b4b8cc)
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        6. Requirement "TestReq" (1092f69a-5f3a-4fe6-a8fd-b2dffde90650)
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        1. Requirement "TestReq1" (3c2d312c-37c9-41b5-8c32-67578fa52dc3)
        2. Requirement "TypedReq2" (0a9a68b1-ba9a-4793-b2cf-4448f0b4b8cc)
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"python3" }, @@ -467,7 +673,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.6" + "version": "3.11.5" }, "vscode": { "interpreter": { diff --git a/docs/source/examples/07 Code Generation.ipynb b/docs/source/examples/07 Code Generation.ipynb index 889416671..852511d03 100644 --- a/docs/source/examples/07 Code Generation.ipynb +++ b/docs/source/examples/07 Code Generation.ipynb @@ -11,7 +11,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -20,18 +20,9 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 2, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Cannot load PVMT extension: ValueError: Provided model does not have a PropertyValuePkg\n", - "Property values are not available in this model\n" - ] - } - ], + "outputs": [], "source": [ "path_to_model = \"../../../tests/data/melodymodel/5_0/Melody Model Test.aird\"\n", "model = capellambse.MelodyModel(path_to_model, jupyter_untrusted=True)" @@ -46,7 +37,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -54,32 +45,17 @@ "output_type": "stream", "text": [ "Unknown global filter 'hide.technical.interfaces.filter'\n", - "Unknown global filter 'ModelExtensionFilter'\n", - "Unknown global filter 'hide.association.labels.filter'\n", - "No default style for 'Box.NumericType' in 'Class Diagram Blank'\n", - "No default style for 'Box.NumericType' in 'Class Diagram Blank'\n", - "No default style for 'Box.NumericType' in 'Class Diagram Blank'\n", - "No default style for 'Box.NumericType' in 'Class Diagram Blank'\n", - "No default style for 'Box.NumericType' in 'Class Diagram Blank'\n", - "No default style for 'Box.NumericType' in 'Class Diagram Blank'\n", - "No default style for 'Box.NumericType' in 'Class Diagram Blank'\n", - "No default style for 'Box.StringType' in 'Class Diagram Blank'\n", - "No default style for 'Box.StringType' in 'Class Diagram Blank'\n", - "No default style for 'Box.StringType' in 'Class Diagram Blank'\n", - "No default style for 'Box.StringType' in 'Class Diagram Blank'\n", - "No default style for 'Box.StringType' in 'Class Diagram Blank'\n", - "No default style for 'Box.StringType' in 'Class Diagram Blank'\n", - "No default style for 'Box.StringType' in 'Class Diagram Blank'\n" + "Unknown global filter 'ModelExtensionFilter'\n" ] }, { "data": { - "image/png": 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", + "image/png": 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"metadata": {}, "outputs": [], "source": [ @@ -355,7 +331,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 10, "metadata": {}, "outputs": [ { @@ -393,9 +369,9 @@ ], "metadata": { "kernelspec": { - "display_name": "venv", + "display_name": "Python 3 (ipykernel)", "language": "python", - "name": "venv" + "name": "python3" }, "language_info": { "codemirror_mode": { @@ -407,9 +383,8 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.6" + "version": "3.11.5" }, - "orig_nbformat": 4, "vscode": { "interpreter": { "hash": "c5ea7dc634d8047a259e5b898f154d237fbe6934b444b1a949475949608d751e" @@ -417,5 +392,5 @@ } }, "nbformat": 4, - "nbformat_minor": 2 + "nbformat_minor": 4 } diff --git a/docs/source/examples/08 Property Values.ipynb b/docs/source/examples/08 Property Values.ipynb index 416d3f36a..347f93245 100644 --- a/docs/source/examples/08 Property Values.ipynb +++ b/docs/source/examples/08 Property Values.ipynb @@ 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          " ], "text/plain": [ "\n", @@ -87,14 +87,15 @@ ".description = ''\n", ".diagrams = []\n", ".enumerations = []\n", + ".filtering_criteria = []\n", ".name = 'cars_defeated'\n", ".parent = \n", ".progress_status = 'NOT_SET'\n", ".property_value_groups = []\n", ".property_values = []\n", - ".pvmt = \n", + ".pvmt = \n", ".requirements = []\n", - ".summary = ''\n", + ".summary = None\n", ".traces = []\n", ".uuid = 'a928fa22-cef7-4357-9b87-675a432f6591'\n", ".value = 1\n", @@ -292,9 +293,7 @@ "cell_type": "code", "execution_count": 11, "id": "b34fdf10", - "metadata": { - "scrolled": true - }, + "metadata": {}, "outputs": [ { "data": { @@ -336,7 +335,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.9" + "version": "3.11.5" } }, "nbformat": 4, diff --git a/docs/source/examples/09 Context Diagrams.ipynb b/docs/source/examples/09 Context Diagrams.ipynb index e19135f4e..705369808 100644 --- a/docs/source/examples/09 Context Diagrams.ipynb +++ b/docs/source/examples/09 Context Diagrams.ipynb @@ -10,36 +10,16 @@ "We have an extension that visualizes contexts of Capella objects. The viewpoint\n", "definiton depends on the object type. The extension is external to\n", "`capellambse` library and needs to be installed separately. You may use the\n", - "below command to install it or find more guidance in the package\n", - "documentation [https://dsd-dbs.github.io/capellambse-context-diagrams/]\n", - "\n", - "Oh, there is one more catch about it - **it requires Python version >= 3.9**;\n", - "Please let us know if this is an issue" + "below command to install it or find more guidance in the [package\n", + "documentation](https://dsd-dbs.github.io/capellambse-context-diagrams/)." ] }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "id": "e49dac7a", - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Requirement already satisfied: capellambse_context_diagrams in /home/viktor/Projects/py-capellambse/.venv39/lib/python3.9/site-packages (0.2.2)\n", - "Requirement already satisfied: capellambse in /home/viktor/Projects/py-capellambse/.venv39/lib/python3.9/site-packages (from capellambse_context_diagrams) (0.4.12)\n", - "Requirement already satisfied: typing-extensions in /home/viktor/Projects/py-capellambse/.venv39/lib/python3.9/site-packages (from capellambse_context_diagrams) (4.3.0)\n", - "Requirement already satisfied: markupsafe>=1.1 in /home/viktor/Projects/py-capellambse/.venv39/lib/python3.9/site-packages (from capellambse->capellambse_context_diagrams) (2.1.1)\n", - "Requirement already satisfied: platformdirs in /home/viktor/Projects/py-capellambse/.venv39/lib/python3.9/site-packages (from capellambse->capellambse_context_diagrams) (2.5.2)\n", - "Requirement already satisfied: lxml>=4.5.0 in /home/viktor/Projects/py-capellambse/.venv39/lib/python3.9/site-packages (from capellambse->capellambse_context_diagrams) (4.9.1)\n", - "Requirement already satisfied: Pillow>=7.0.0 in /home/viktor/Projects/py-capellambse/.venv39/lib/python3.9/site-packages (from capellambse->capellambse_context_diagrams) (9.2.0)\n", - "Requirement already satisfied: svgwrite>=1.3.1 in /home/viktor/Projects/py-capellambse/.venv39/lib/python3.9/site-packages (from capellambse->capellambse_context_diagrams) (1.4.3)\n" - ] - } - ], + "metadata": {}, + "outputs": [], "source": [ "!pip install capellambse_context_diagrams" ] @@ -54,11 +34,9 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 1, "id": "d64ff435", - "metadata": { - "scrolled": true - }, + "metadata": {}, "outputs": [ { "name": "stderr", @@ -72,6 +50,7 @@ "source": [ "from IPython.display import display, HTML # we'll need that later\n", "import capellambse\n", + "\n", "model = capellambse.MelodyModel(\n", " \"../../../tests/data/melodymodel/5_2/Melody Model Test.aird\",\n", " jupyter_untrusted=True\n", @@ -96,18 +75,18 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 2, "id": "09c4d2ee", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "" ] }, - "execution_count": 3, + "execution_count": 2, "metadata": {}, "output_type": "execute_result" } @@ -129,26 +108,24 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 3, "id": "040bfc14", - "metadata": { - "scrolled": true - }, + "metadata": {}, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ "" ] }, - "execution_count": 4, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "cmp.exchanges.by_name(\"Punishment\").context_diagram" + "cmp.related_exchanges.by_name(\"Punishment\").context_diagram" ] }, { @@ -171,20 +148,18 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "id": "ba760fda", - "metadata": { - "scrolled": true - }, + "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "" ] }, - "execution_count": 5, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -194,14 +169,6 @@ "fnc.context_diagram" ] }, - { - "cell_type": "markdown", - "id": "2d911a2e", - "metadata": {}, - "source": [ - "[ ] ToDO: we should add better model content to showcase what that extension can really do - the current test model is a bit light in that sense" - ] - }, { "cell_type": "markdown", "id": "b073bfc3", @@ -214,11 +181,9 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 5, "id": "99743283", - "metadata": { - "scrolled": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -234,7 +199,7 @@ }, { "data": { - "image/png": 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", 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", 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o6wc+JGgKGPna1/r9vXPizbjZCTFT5r3zdlFRkVqWZYveLM8+8TDjh5KUHSvmhKF/v++Sz+f37NnTw8NjwIAB58+fb/eqP3Hz5s3+/furJe7evdvb23vEiBGtWGYrgrHDADiBkzRO0jjJXTEnLHZ9NNbIjBkzEn859VPSGVYuYWQSVi5VnuUghFJTU/Py8latWhUREaH/f2MYpq3PjeDo6wQzD5OAYQSFk1ycon362s8d/8LUyRP8/fxUf87Kuk5ispq5r5ix9axMwjLyxhunpqY6Ojru378/IiKisLBQla5QKIhWeuhVy4r65ptvDh8+7Ovr2yp1AEaE4SRO0RjFxSjar58diaMb65wcBU+bxNVC6Zz1O8JPbGPlElYhU9s8NDS0rKysrq6Ox+MlJyevWrWqrq7O0tJy586dQqGwrq4uIiLi7t27ypxffvnl6tWrJRLJ6NGjLS0tjx8/3q67Cv4FMw/TgBEURtEYSeMkPW3MC/fzbnlV/U/1M73nPxb1+es272SUZ3ZNOidCaNy4cUVFRWKx2NLScs2aNdOmTTtx4kRycvLQoUP9/f1HjBiRm5uLEJJIJAKBYMWKFREREcHBwZmZmcrNp02b5u/v7+3tPX/+fIVCocypvSiEUHx8vKen58CBA/fv369Wn6ioqDt37ixcuHD16tUIoePHj/v6+gqFwsmTJ5eVlSnzaEzUUiYwGpzAKC5O0ThFExxud3vrh1XPPNZuYA+OQia9X1TCyOpZhQw9+ySIxMTE8PBwHo8nEomioqJOnDiRlZW1adOmuXPnIoROnTrF4XCys7Ozs7PXrVuHEFq/fj1N06dPn4bIYUQw8zAJGEZQyp6JUXQ/TwdxTcOMACsz8umTX0L6mIXv/PPzJeMZuXLmof6YlqNHj3p4eHC53KqqquDg4JiYGJFINGbMmNOnT3fr1i01NXXu3Lnp6ekIoerq6lGjRo0ZMyYnJ2fatGm5ubkYhu3YscPBwYFl2fnz5x86dGjmzJkIIe1FFRUVLV++PDMz09nZ+e2331arz9atW5OSkg4cOODu7l5UVLR48eL09HQ3N7eoqKjly5fv3bu3uUQtZQJjwXBSedkKI2mMpGvrG3gc9RNTuYIhkZyVKViFTDXyDB8+vLa2tqKi4ty5cwihCxcuiEQi1SWs6upqhJCfn19kZGRkZGRYWFhYWFj77RXQCoKHacBwStkzcYqLUzRFElI52zh4uFiRZZV1krpaQl6Pnr1sNXz4cBzHnZ2dDx8+jBAyMzMLDQ1FzXRUhBBFUcqlSx8fH6lUWlhY6OrqeuzYMeXmIpFIIBAog4f2oi5evDhq1ChnZ2eE0Ntvv33lypXm9u7SpUsjR450c3NDCC1cuFBZpsZE/csE7QnDSYyiMYrGKVrGkkUPxe7d7BtnyC6WmZlx7ASUor6WVUhVI8+FCxccHBxiY2NnzpyZm5vLsqy/v//Jkycbb+vh4XH9+vU//vjjhx9+2LRpU0pKSvvtGGgeBA9TgCFEkBhF4xQXJ+nH1VKSwCzoZ87sbotkvbpbkZhMIZMwCnnjh1FeuHDB0fHJx2IlEglN0xiGIYQ0dlSEEMMwCoWCJEmEkEwmwzAsLS1t7969586ds7Cw2LZtW35+vjKnzqIoilL7RSOWZbEmz8/UmKh/maA9YTihnBnjFDcp+S8rKwv75cWNM1AkvnPVDEamvKwqZdHT280xDFu5cuWxY8fi4+PDw8MXLFiQmpo6dOhQhmGuXr0aEBBQVFRkY2MzZcqU0NDQHj16sCxLkiRBEFKpFO5HNyJY8zANOEEp5xwYRaddz7MVcCMTa1U/S3+sWni48pXg/qysnpWrL5g3Z/jw4RkZGampqQghhmFUyxsKheLAgQMIoTNnztA07eLiIhaLXV1dLSws5HK52qe9tBQVFBR08eLFuro6hFBSUpKWmgQFBaWkpBQXFyOE9uzZo5xkNJeoZ5mgPSkvW2EkV47I//vu2Dff7mEbOXTo0PjQwIkjvFi5hH2y5vHs5hi2YcOGDRs22NraJiQkREZG+vn5+fj4JCQkIISys7OHDBmiXE7bvn278pRi8eLFAwcOHD16tFH2FyCdMw+CwBUMS+Dt+FT1To1hEN6SNxPDcEp5NRkn6d1HToW8PG3QoEGqP588edKVLlg+O4SRVDEyCdK0YN6Ug4ODsqPW1dXJ5fKJEycGBAQghCwtLfPz8wMDA6VS6cGDBzEMCwsLi4uLmzBhAo/H8/Ly0rMoFxeXtWvXjh07tmfPnjY2Nlpq4uLi8vXXX4eHh7Ms27t37++++05Lop5ltrqu0Bda2j7Rxax/Pt15AiPNcvMf9Ozdt+kHAP++cz9mz2+srIGVS27fLzPvYYsQqqmpUWUYO3bs7du3EUIjRoxIS0trvO24cePGjRunVmBsbCx8ksm4dAQPK2tBZYXMxgbmhq2jqkpmadWS+8fr5aiqniFYRUJScml5zYnt2xtP2EUiUUl2RXmZWCGplNdX1tRJBP/+qXH/RAjRNF1RUaF62bSjKkVHR0dHR6tekiR55MgRtTz6FDVr1qxZs2Y1t1M3b95U/T516tSpU6eqZdCYqL3MttMV+kLL2mdwcDDDPLm3qtcA/rvvvquWwc/Pb+Zbi1Qv7QOQUCh8nnqCjkBH8Oju7nqvoK5zd5j29OiRxNbBztCtzPkWW+KObYk/ixBycXE+nvCT2qVePp9/LDn72JnrCCGEWMSykUECTSWBlusKfaFl7TMwMDAwMFBLBqFQaOrRoivMO5vSPhPVseYRGDz6cmaN9jxAf9dzanwGDzV0q21ffPlYXPlYXPFYXHE9+29PT0+1DB988IHoUbmo7LGo7LGoTCwqr/ikpd/coDafACpdoS+0rH12Bcp5p7Fr0d60z0R1BI8XQkbdvlNT8kDS2rXqimQyJj2jcnBwiLErAlqi0/cFaJ9aKOedxq5Fe9M+E9URPHjm5uMj3jx4+AHDaM8IdDudXNZb6Ovaq5exKwJaotP3BWifWnSFeWdT2meium/VDZs8haS7J/5c2qq16nLy8mpOnymfvvA9Y1cEtFwn7gvQPrXr9PPOpnTORHUHDxzHl3y6PitbkfBTKav+nRdAL3l5Nd9+Vzj/k7X2Tk7Grgtouc7aF6B96tTp551N6ZyJYqx+naCmunrriiguVfHGDEfbbma6NwAIIYRkMuZ08qPTZx7P/2Stn9Y7UoCp6Ex9Adqn/hiG2bzsgx5O4ikTO/9jzPPyav6zq3Ddf3ZrOZ/QN3gghBRy+a8/Hk06/IO3t2XgYL6zE9fKmupq967pg2FQVbVMJGrIzqlOz6jsLfSdvvA9OKfrTEy6L0D7bLGaqqroJQv6+xKTJjhq+uqcTkI5E533sY7zCQOCh1JNVVVq8pnLKadFxQ/EjysVii4zi9MbjmOWlnxbR3vvwUMDg0NgBbKzMtG+AO3zeXSmeWdTBs1EDQ4eAADQlZn0vLOpFs9EIXgAAIDBTHTe2VSLZ6IQPAAAABgMvpIdAACAwSB4AAAAMBgEDwAAAAaD4AEAAMBgEDwAAAAYDIIHAAAAg0HwAAAAYDAIHgAAAAwGwQMAAIDBIHgAAAAw2P8DeIZn8iofFFkAAAAASUVORK5CYII=", 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", 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", 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"text/plain": [ "" ] @@ -344,7 +309,7 @@ }, { "data": { - "image/png": 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ll3o3TPCQ7EuXVK/pu+Nrly6Fo6S50zeM+fn56enp9GsWizVr1iwXl4c+zUskkn//+9/qS1xcXObOndu7YfZ3kD6jgzIF6HL69OkD32waHuiMszil9YqU3d9duJRlYfH3n2K5efPmD3tTJsaMIBUdlKL9Tn7JjaseUKYY1pDwcGc3N/iuQT93+/btb7/4ZFyoC0ZwmqTYM198duXqdaFQqGpQXl6+Y/u2114ZTyo6KLm0qrr6x6IHUKb0EqTP6OC5KYDBMLFzUmz4R6+N3PXBJDdbYsf2bRoNggJ8Vi+LX/XmtJULJk55boj6fxUUFGAYtm2b5ioauFzuIw+v67q96Y1GkuSGDRsM2GEv4Ti+9uuvk7dvh6NkP+fr4ZgUG7YyPnLr2/+cNNI3+aMPNRq4uQjXLHtt9dLpKxdOnDt5GEKdf7LN2tpaIpHQr2trawlCvw+oGonQ7e7du0899ZRe/asz7NGg9yB9RgdlCmCCs3CCixNcnOCtiI/ZsH4tpmbmzJkZv/6eeeQ4pZCScimlkKmOjAih1NTUMWPGpDJNFTxz5sxjfg/60Tgom8LwrB6+1wb6JwzDcYKLEVyM4C2bFbNn7171MIaFhV2/mfP5N3tJuZRSSCl5h6G2q1eZ0kumEDcNkD7jgjIFMMBwAmdzMTYPY3ODAwYROLqzyrX+X+6qf/9d6vje+h2dR0alXLUiRVH79u3buXNnQ0NDTk4OQkgqldrY2KxatWr69OkRERFZWVl0y1GjRtH/a2trm5SU5O/vHxQUlJ2dPW3aNG9v7xdffFEmkyGEpk2bFhISEhgYuGDBAqVSyTjytLS0IUOGiMXiKVOm1NbW0guPHTsWFhYWGBg4dOjQoqIird1+9NFHUqk0Ojp66tSpquFp7bC7dwTAY4HjGJuLs3k4m2tvbxfiN+DwYif1MN5Jdv1kx76G+gekXEopZWofGbSQSCTe3t7065ycnLCwMNTNLq2RiBMnTgwbNiwkJGTUqFG5ubl0D3v37vXx8QkNDd2zZ0/XbXVNWR8fDYD5gjIFMMFZGJuHs7k4m8vi8NyEdlVNpPr/hw7gKOWy+2UVpLydUsoR1XloPHXqlFAo9Pf3j4uLU11QaWpqio6OPnjw4OrVq5OTkzU21djYGBoaevfu3djY2JiYmA0bNhQUFBAEkZmZiRDasWNHdnZ2Tk4ORVH79+/XPeqysrIlS5YcPnw4Nzd34MCBiYmJCCGJRBIXF5eSknL79u3z5887Oztr7Xb9+vVcLvfYsWNpaWm6O2R8RwAYEIbhOMHD2VyMzcXYXHcXp6rmh87QzgJWkDvvek4eJZeSCqn6pc3w8HAvLy8vL6/Q0FDdW+m6S6snorq6OiEh4fDhw9nZ2Zs2bZozZw5CqKysLDEx8dSpU9euXauqqurap9bw9tnRAJg1mEILGGA4Qd/0wQguRnBb2zssOZrVrUJJEkhByZWUUq7aqVJTU+Pi4hBCs2fPjoyM3LhxI0LI0tJy5MiRCKGgoCD6YoY6LpdLf1yLiIgQi8U+Pj4IofDwcLrlTz/9dODAAYRQdXW1QCCYNWuWjmH/+eefY8aM8fT0RAgtWrRo7NixCKFz586NHDkyKCiIHgndsofdau2Q8R0BYEgYjrG5WOdNWG5re4eVljBSOFKQinZKIVO/mHLlyhX6m0G1tbUaXxHSoHuXPnv2bHV1dWxsLP1jc3MzQuj8+fPPPfecSCRCCM2dO/fq1asaa2lNWZ8dDYBZgzIFMMBwgv7ohrO5coooq6r3chCqN7hVLrew4DgJ2Mr2Vkopo3eq1tbWjIyM48ePb9myBSH04MGDP/74Iyoqis1m02vhOK5QKDS2pfoOEYvFUs2GY7FYCoXi4sWLu3fvPnXqFJ/P37p1K2NBQFEUhmGMC3verdYOEUK63xEABoRhOH1dk74Pe6+ofPDwh47htS3k7bK2kEFOpLyVUnYgnXd9CIIgyc4ro/SdFJruXZqiqJCQkKNHj2osV62leqHSXcr67GgAzBrc9AEMMJz1vyMj78jp67a2fGFiuV1Cmerf2G01qxdNJOVS+nY4hSiEUFpaWmRkZGlpaXFxcXFx8bZt2xgn0upWX1/v4eHB5/MVCoXGk1q0GjFixOnTp8vLyxFCu3btoi9+jBo16uzZs/fu3UMISaXStrY2rd0SBMFisdQP3N11CECfoqfQsrkYm3e7qLKxVRq+UaIeRr/VFcvjY7iEkqLns+ucm+Lg4EBHACH0+++/62ipnoiRI0devnz5woULCCGSJOk5JSNGjDh//nxbWxtC6MiRIxqr6xteRgbvEJgyKFMAA/qmD0bwFIj49Nufvty5i1Kzf//+iWMjJo8KoBRSqnNuCkIIpaamzpw5U9XJyy+/fPTo0cbGxkceRkxMDIfDmTRpUlxcXEBAAGN7d3f3bdu2jR8/Pjg4OC8vb/PmzQghZ2fnPXv2xMbGhoSEREZGSiSS7rpdsmRJaGhodHS07g4B6FMYjrG5OMHDCe76HQcTV3yoHsasrKzgAO+lr4wk5VJSISUVDFdTMAzbtGnT888/Hxsby5hNVSKcnZ3T09Pffffd4ODgoKAg+olz7u7uycnJ48aNi4+P79qVvuFlZPAOgSnDKErXfhwfPfarL4eycC3XuoF5IUm0cPHVPcdP6LXWp59+ejDlq1HhYoywyC2q5AqEGZk/qzc4cODAmqSEcc8MouQdlEKad7/WakDoT5mHDTp2oAmCadYeLYyZmZnL3140MWooxrKoqGu+V1Jz8dIVDoejanD16tUXxsW8GhNEP96t+kFjbi0n+3aeoYff30H6DIsxDgxzU2ztBI0Ncnt7ju5mwPQ1NcltbPX+9v/o0aNVd68HDbV+4403NBoEBwfPen2x6kdhGBKLxb0ZJ+gJCKZZe7QwBgYGvrH4Hfq1G0F8nTpPvUZBCIlEoqXvJKh+FCIUrXOqLHg0kD7DYowDQ5ni5uVRXNIGv48nQE2N1NHZSd+1IiIiIiIidDQQi8VQl/Q9CKZZe7Qw+vj4rFixQkcDFxeXpKSkXowL9Aikz7AY48AwNyVidPSVrBaDDgkYx82clqDwYcYeBTAMCKZZgzCaNUifYTHGgaFMeSbqubz8lopKqUFHBfqaXE5eutwYPjrK2AMBhgHBNF8QRnMH6TOgnsSBoUyxtLKaGDv7hwOVJKm7ITBpx07UeouHeAwaZOyBAMOAYJovCKO5g/QZUE/iwPyF5JgpUwmuW8YvEsMNDPSpwsKWY8frZixaauyBAEOCYJojCOOTAdJnED2MA3OZguP4m6vXZ99SpmdKdH55GZiiwsKWnd+WLvggWejqauyxAEOCYJodCOMTA9LXez2PA8NzU1Rampv/tSKBx254daaLo4OFIQYJHi+5nDx2oubY8QcLPkgO1vltHWC+IJhmAcL4RIL0PRp949DTMgUhpFQofvvx0JED/wkMtIkItxa58mzt2PCIG5NCkqipWV5d3XErp/nS5UZv8ZAZi5bCR7cnGwTTNEEY+wNIXw/1Jg56lCm0lqamCyeOXzl9rLq8sv5Bo1IJk4hMCI5jNjbWji7CwPBhEaOjYJpe/wHBNDUQxv4D0seoN3HQu0wBAAAAAOgb8KcHAQAAAGCioEwBAAAAgImCMgUAAAAAJgrKFAAAAACYKChTAAAAAGCioEwBAAAAgImCMgUAAAAAJgrKFAAAAACYKChTAAAAAGCi/h+1CM2lAFsaJQAAAABJRU5ErkJggg==", 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", 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", + "image/png": 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", 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"text/plain": [ "" ] @@ -410,7 +375,7 @@ }, { "data": { - "image/png": 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", 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", 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", 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", 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"text/plain": [ "" ] @@ -520,7 +485,7 @@ }, { "data": { - "image/png": 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", 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TJxn2rmM9w0DMuFWBFNV/d5FHb3uhLrzJnhRfZajOwt1fmTg6q6f2mgPV2JwmmgEAfL7RAWbc/6GebUeG6QcuXtzbXqgFjxIT/V/fX1L0V67dGG/s6KyewmsRlasxMjIyJSVFsayjo7N48eImE9Hdvn07pvEkRz4+PuPGjVOhD12huWZ2rFqlPlEbwIy7x6irqxOLxYplOp3OYDCaGEgkkjcGCmg0GpU68GdhdvH01Dc2bjxCIB6qrls5f+bUs4QIJys9lEK9WlgbER4WevFSQ4Po6Oir4edHebmQMhEhFSU8fFJbK+w7gbslzagXA3BUSd9k7aerQ0JCaFQcAIBilGO//xEQENjQYO/evTt37qTiuOJUKZFIg9et2717d++424OgKLrz0KE+MI5brUAme5gumuKG0dkErjHps5NhYWGzZs1qaDFmxLBtq+bJ66tl9TXfHZHIGx0RWfImj2+d487OVxw14am3fR6tv7/HS5nhxaQg+UQoMeM9b61Oj9dtUTNqRV8cxz0wIWRb5zgsnOyC0bWeFouCli/z9PQyNTVtaLLu44XbVs+X1dfI66u/O3xW1vJz2YLn10OvPSqRsK3cJ0weZa3ZU7P9C+/8tPnh6L2feKj+3bXq3AJ7CwTDEQodwelUOit4gd/yJQtmVwsaGrDo+OSRjsPsDEipCBCy1urpOCQv6Z+/ZKPndyFwA7XXDMy4ewwEwXCUwkBxuvMg/SUzvYMCZ7m5ur7Z/OhRKgWRCpdMp5H1pFREtthUyIqLH0z5gbrwo4mDsKqs+KSCkdaOxb9OXSw7HLXGos0IThQpZdYGNP1BQ+24XZqATXmg6robBMNRnI5SGCiFPn6EW319SNX3pg3nUTr3sG7r3kMXf9tISOtJuUy5PtOakLdmvPg65nMHTHxp6YibSxN/9Ipa5rqzwkm3vqyIZ7ziWMgKg0ub996IkQRMf7r2wIEF1l14y5c6AzPungPBcASnIxQ6SqG/Pcn7n4s/zLXMfbPV0QpEPpFs23to99o5hFREyluY/BeIYk/Fem1LXz3+ddc3WXMn5PyjVPGunbT5H34whpEdHRGVUkwYjQgM8jHBMi+dqRhkX3rjNjLM9el/ZuMMUQAAwctsaEwFQFJ4+2xYwkvucBe8gjtj9uD6RgYYKZOSKAKAPDMitMJSvyD2XqXemLmB7lzY9vofCILhKM5AcDqC0zmabBRFhWJCk/7faX2KE2PN2XyZuBbIRCTRXI2SuJ2TRh9SHHt5xXPJ7PWt/BTB5wYcCV+iwwtf6vNj1OLjAbs3+BXLDl/qfA4Bae9FCkAx2Z76fboB5FWOg9MRnO5gZ1UtFM/zYC4eznrz2TNL8/zVeFIqImSKjLuZH7itIzvqp5+u59a+2oQwLD1djY2H+E/ysWUjVYkXrxXSzczRmLXTNsWJ5M/PrQp478BjhKuva/OfmeKYk02MiRcnFr71XbaOFefZN4sW/Z0maWogfx526Gq+HAD587Mfvbc5RmpsLjm7KOCHJ90w91nvC6BPfVQPAhAUV+QQKE4nMapMLqc2fu+XjCAxFCGkIqLl6z/q6C2Rca+I2jam9bvoqKGdLRsBCNvJ1aCylN8911IYhsqJgXOZRhAAbfPlmXBUSc+BoDhKoSMUOoozUJyOUzCJjKQ1aC2mHEolr05UV4vJ6lvuVaQM2RR66Jft30yxf19n7NLNuzZMtzZ0sNXjyry8XExRAPyD9/gDIKvzKL246G6B3Akw/D7/7csAGgBEUQMzAABAuI2MczNuHRQsP/flu4aIzOzxhb3NDArkTm/cQE1mBn++YAwut3967oskPumorfJpYaDqupn/0ggKPae4xlCbSWscuKOfi4cOMkYJiUwqIuUypY9w67PXokj3pdgcbTavRqqjM0BGYfH5Ui1OW5347QRuDEPlcgLF1OuahiTItk93nQEBAKMgOB3FGSiFXiWQUDCk4ZUpAOB5udTamENBpHKpiGilqeCmE4KPTQgWFcYc+GRp4G7je9sazBYsyvhjzZcRYmMLdm6eaKQUAJRrwG3t2DU2Fpe8qDXz1EEAAIBKoyIt1dZgZxSdoQiTxZBKJJ3/U1pGPVXXGt2iRgAQjKLoJ0FxRuj16Oo6uXZwUUMDDQbl9N53CKmIlNWThFQ5D5j6ujVRT/ikI4dfVlbXcgRHaDRcWCVQ7anZ2NI8L79uwATuigoR10CvDYN2AjdHmymortPSVaOR7QAAYU2dFoep8mpRDFfk2ghOT0jM4LIZay/89y5BuUye+kIyfdxIUlpPykQk0WaOQzcbt/oTv4PHc6VAH5CvkhxJ9L5fKCsTDvvRa0LypuQ1bRlko1yoiTFqZMrIelpC+FugQC6Tk+3W1o2op+pao3vUiCiu/1AKg18nO3LyUsyt225ubm8279q1i5cd7+1oKKurIaQiUq7kqBKq7+qVvy/xHXfMwkBaiLq0/NO6k95zemfZ5LSgr/5eP1JFY5S8xk5IvnVy2FCOaqrrbVLThc6evm0YtBO4zcy1X+RWsNWsCVVV8Ll6Kt9lRNGrqOhYPPq/SN9pb7u7u7/ZfPnyZXN6/oZFvoSIT0hFoMWbk8IbX6++TPXxstMlciP235+w6Rs6yrQyK/319DWvmcM8jE1pd06GRIipNw7FS6c0Cvyozhuz4Q56KABoY2PMYd4ifPr7W3VWDin7599n8p1NDXpwjlz1VF1rdIsaERBx+0lhlRjBaHdSMue9+17DqK0g7v5zmUhIykSkVJz0tMzXruFGiuc3KWf/+6ox78yjeQAAAKjOK04nr2hoOu33B9MAAACglp9eVzzlY/bO73feUe0OefuOP/v7keISkbGR6oer9jBSKZGYxFu3t63AjW3fvr2tKiTy5KS8wR42bdgMPJJvPnaw1HJzNVFhnZfCL7KwegdbKynAT16+G5v8NDQ0zMvLy/01WVlZSG2xq4W2kF8j4NckZBTRDAb7TZjQqBaqucsgWkVuVk6J2MAv+Ns1I7URgNuOGkl9fOcZaeU5Zupke/6jtAq9aR/NdzO2GWzBwnQdPGy1EAAamLnb62IAoIbDJzY0dnIbG+BvWJyWQzgOY6RkWy+fM37UxJZrQ5A31SIow9TNxUi1F6jqqbrW6A41Uql0lrahBteCpWsyzs9/3fr1SOM3KmIYRtPQYerbsQwdWSbO9m4jfH3HW1paqtAH1YJTqRQKHhmeMNxbu8WXQ/Yjoq5XUJi2/oFBbdggbb8Ir7ZWsvz9U+9tmKlnotKXGPdhZFL5wU2ndm6fYmWlq8JqP1v76fHjfwKAAABMTU3OnQ+1s2uUw+zbt2/31ztfjyEgAUmuDd6wafNmFfqgJPxzC6Y8/DR2l3tvjRVVQ9W1RjepcUBCEMTedZ+aGVW/NbsfTxCYnS08eLhw28Gj+kZGbZi1E7gBAKFhaTfj8+YHT0e64Q5JH+TOlYe1Lyq+2Ozf2470NLLUv3dcId0dRZd/vu559H/LrXvz3qC6qa411FaNnUPI5+9YuWKICxYwy7A/5t3Z2cLfjhR+8PlWVy+vti3bb5wzZzizcCT6fFKvj2btgU9hVlliZOqypd3wkrg+D2bpM9FOkpfPnHcspHejNlAz1UE1qgoNNnvrr4czcxn7f82vfCluv0CfQSolrkSWHTysVNQGymTcAACBQBS8LsxmiNXYAK/+eB5TkqLssnMHI4PX+rq7m/W2LxB1UV1rQDV2GrlMduXM6Yh/Tzg5aXl5apgYMTjaONb3Lt0IAvAF0vJycVq6IDGJZzvYZe5Hq9ruIXmDUoEbACAQiLduv4LQqP7vjuZwB9r0LjKpPPlGalJU6rrg8bCd9B0GtupaA6pRJQj5/Ls3byTHXi9/UVJdxZPLid72qCkoimhpaXAN9Z08R3iN9TV//SofZVA2cAMAZDLiwoXUs+dSbJzNHb1s9U20NTms/vuUBEmQtfy6qnJ+VmrB46RMRwf9ZUuHGxqye9svSCMGmOpaA6oR0iE6ELgVCASi2Nis+Nu5xSX8mqraPngeUxIURdhaTD09DXd301E+1vCufV9mwKiuNaAaIR2iw4EbAoFAIL3LQLvkhEAgkAEPDNwQCATSz4CBGwKBQPoZMHBDIBBIPwMGbggEAulnwMANgUAg/QwYuCEQCKSfAQM3BAKB9DP+D3VN9T/Ku4jNAAAAAElFTkSuQmCC", "text/plain": [ "" ] @@ -542,7 +507,7 @@ }, { "data": { - "image/png": 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"text/plain": [ "" ] @@ -569,11 +534,9 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 6, "id": "2c88ed82", - "metadata": { - "scrolled": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -589,7 +552,7 @@ }, { "data": { - "image/png": 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cun3e7OkO9nZ8bSUAMAzxcnPkaqsor2zSDTGe8N89NauWv9xzSbV7+FvL//1KkKGDv4vjnR69Ap0lAIazVngDUMUD7fh+vyb5zB+U8cvpymmj8/44azXmrW4AACDybtrmqnJQs5mKA8aH5n5zvGzm+JxD8fbj3hMOLDjsOHtvsIdIWDho909nKmdO0VXzvN26dUvtyiJTU1P1rrdZ08eXlpau+jpyzjvLI79dBhR4JU9p3f/ZczJuvzau57qdcQInUNqmOzIUhNLUy+ckEgBgbbS9vRzqPreq9la9IebDX1s0qbeI7556cGViGSfa8d/c8B8/m1iXzha07Q2NeF9/d3OGKus+93Jp234qmbxxbbgpGetXNWXqrsSZ7zbvh04YuOiDgQBctXfhkcUXsjm3+rFbzg1AeeeB0F3VoNUZvrpwQm+R0vjq3vV+788YLhN8cg++e/6e3qJmQzSbg+CoT+rGKkm7cjGByfjjlzjrIVPlQJU3t/xSNvT7/u460H3i8beP3lEGuDSO3awfpbBjQ+WMzW+MNyWc5Z3fv2vb2ddYpwzomuQhDIxM+gwPAwBOqXhQXPSgvJhlWT0zMzt3z8Ynt/xdQ7mKGn8gQ1gxy7IrP3rtyx8j50yrdHF1BUZ07tK1U6fOfL3ua6B07eoVn61YSXmlt7uTTAQF+flXryXNDB8C7KPFi0TPd8bqPTNWlN747V9zIhbpXdg5vvEfacHRf7/zwy1dO8v7p7OlwySBY/su2Rlf5Xcr1nD0AtWvYfM2Lacq9g8flPnT6TK/W2etxr2p83BzQU7C3v9tTmQBZCPHumtQS7lx48aNGze2a5eGyqKtW7eqd9Ud/P3o1ZTsWp7uWr9aFbM5Ja9anjOU6nQz6D98Eqfkea4+h/4EFCjrNHLR+421uWWN94Hq4yUAIUCBUiKXy5UKJZeVcd98hCGp779p+W79f3O52WXmPnoAlDLGTo70ahFPmWb90JqU7ctXHVWY2+hkZtUGKZuVATebW9Xe5GNJDcvWv5qhTC7hlDylAFJtGVdYW52ybcWjQzSbQ8NYjIGDb48e2j169Boa/d6Mta57l1TdL8pP3fdbOQsALuHBhgxtOsNH++EL8qos/PQAKAWxREKeUVTplAG9vTn0VrFisZG5pdHT7vbviZFoUSpMGj0kInz03byi+8UlMi2dUSNCX39tESuWU0Ho37fP4X2/ZaTdyc7KvF/+UF9bNmXcMABeJNNprT/WwGvyezN+irhTIEDDZyUhfdvKsyGRR96w4c8uPvKdANJeYwOXHTx8KFt71I8Gqnjeok1LYv/xAzI27orKNx37SjdG5Oho3D307U+mGHXk/dJWNa0s2rZtm3oLuNLSsn5jFunqG+38eVVVRbpAKcfVpVyoQHX1DEdNeY1S4Pk2rtDrQ1RjS1YkUlRX1+9c10vDulQVPg2MJLmZRTyte7QRrRu+/sYUUEqJoYkk404BP9CaoWW5edqWVoTmNetHEf/Tenb+4bX9pGW/Zc3LEhoHam1uDcvxx8+QNm6iAIpzfzXEo4M9Mpa2jWXVtlsPSLCDraRy1OvvedVXvFBl4+7N+iGmFrK7dcfLcXwbPx9prHMGdHzqRUdSo8olOHTSlT93+Pj4MwScu9upCkNFEi1KKRV4UN27otTG2tLCRF9VGMrXVl27fiVoyNQm3fC3N7/7VYZLX19recnFTZvJ5C2uLCux73Zx/95Tpr172lmbZ2/YsNfJJ2vj/hw2BEAaHOb1wcLv7ZaeqA/HxODRNkRbV55z+WTy/fGNN6TE/uOC4wat892S0g0Ahr09b+2M+ask7/TXzrmnN2pisIG6kb3tqarMzMzExMTg4OBBgxpTQuqtJ5y62x7bs+5WaraJhYNAVTl0ThVO63PoHADwPE/bNERj2rp+i8Snh/yr7/7nM8koOfJcuf3EJsvgumZU5BI2tnbBhz+ZLHCvyVD6TB9qbWtesOn3k/5DfHrY1jUWuUbMkk1f/LXBAo+C3Ttl879xE9HcZv0QEwvJpT2/Ha8Rn918XjmEgJY2d+fStVxvP0tt0mJuDW8fP8Omdw6AMs2GaHEs9aEcQCi5kxB3Vi5U51/43wnzEd8biGwiFrlNWPJvy/fHOFRlVbuNHdK99YEAgLIO4RGi6e9+rT/fo2j3wVT+H235fKQ59tNPP+34UZ6mLVu2jB0b+rxn8aLbvz9m5syZT2yWkJDw888/d+/eXV9fv2Gjra1te4fT1TMqLS25n5tpaGzKiMSMSMywIsKKCCMCwlAqUIGjvFLglZRTCrxS4JVpqbe7Wbq4+zf9nwdj6OptVp2TdiezVOo567PPJjqKgTEKGORUdO7SfQOv4NDRIVppV9IFn7kLR1jbeLgaS8xp/Ld3Bq9+OaCuIJHI3Qc3bePZs18Pi5zLOfreXpZybRs/bwsJAGNuKy3pNnzBEFsJAGveN2K4ae7liykl+m49vez01E667Nixoy0BvbCwkOO4Xr166eg0fjrZsmVLePhIqK+abfvL0dFu6ODeFy7fHjX9/avnj2Xcvno57o/83AwTc1tB4LPTUy7FHblx6YxNdw9bY2ptbdmGPhldOy8XY6b+LTHwGxRA79wo1A6aPKaHhZWLnQ4B1sDJ014XgBIiM/N0N7UIHNGvW87Vm/mMjYdvdyPd7j17SlIvplIbHzsDVtWY6PkMG2JxP+nWA7Mxr7012JQFCs368XQPHuBQfuNWsdHA2RPczOycgwLdlMlJtXZe9rrQytwIa+ziaafDPG6GQBltKx8XQwYoEJGZZ7+w4U2H6G6t1exYTMT1Bc4P8zKycvIKK6WuEe+8O8ycBZA7DRztzd2+nJxDLbx87I1l0HgILc6Jse+wgaYFyZm8k7c06a719NFOovb/fFu+oqIOPeZXmzyTzwFPU2ho6IYNXzzvWbzo5s9/LyYmpi0tFQpFyxI69STGx9xNSggK7ifV7iaSyFmJnJVIGVYMqrumyhpeUc3VVtdWlV04F2vnEejfR9P/MQtpXw57Uzsy+lWrF6Bca82aNUuWLFFv39DQ0C2R36s99Bvvf9V/9OvlD0tO/B6pqK0RS6QDR07PzkhJuXoWAEzMbSxsHIf20AoODlR7CKS28t/fn3Z9TtSHnk8lHzJz1huP+dXulCmX+k9b6Clo+XCutLQ09f6K3a93qLNXr1PRWwVlrZObl7W9CxUESlQpF55SIT8v+07ydUYsHRbxhraunsZzFzL2/86M2NQhfyrYfpp+Y5EGV7Wvu0Xu1W0A0MPTRLWlIuuoAQu9A2zqWvBpdvYj8S7Rs8Td3PfVcfBxrj22uTbiCzf2maRcOmVAxxy6hh5TXbds2TIvL6/r16+r17O2rt7Iqa9zSmVy4tm403/W/2loXVrS0s55xNQ3n95juRSV1hEfhti8GPH8eT7LZf7ciI4eArUXY+3f3+H89RzZuC/W9LF9RrmQThrQ8brUVMtzqPnDuRqIxGLvwAHegQM07OdJZD6TF3bwEM8QXtVdC9Gx6fWSTS/Vm2f1w8WAjgAeLaFr4zNJUDOafmMR5kOQxjplQMcc+lPUsoQOv7FIPfiNRei565QBHXPoT0urD+dCzwVe1UhznTKgL1y49HlPoYswNTVtuVHD1MHflsZfro0rdKSpzhfQ21hejdSmYergb+s5VrkgpNL5AjpCXRIGdKQ5DOioOY1TB39TmqaqMKAjjWFAR81hvkU9mla5YA4daQwDOkIvBKxyQZrDgI6awyoX9Wj6LBdMuSCNYUBHzWGVi3o0PmkY0JGmMKCjVjQs0mNjY+Pi4gAgJCQEt7Rli9rwryuQ5jrf89CR5gjBnztCXdAL8uRRhBBCmsKAjhBCXQQGdIQQ6iIwoCOEUBeBAR0hhLoIDOgIIdRFYEBHCKEuAgM6Qgh1ERjQEUKoi8CAjhBCXcQTnuUSGhr6bOaBnjr8rj6E/m6e/HCugweinsE80NM1Jiz8eU8BIfSsteVpi/gUJ4QQ6gSeHNDxsXwIIdQptCWg4zdjIYRQJ9CGgI4pF4QQ6gzakEPHlAtCCHUGmENHCKEuAgM6Qgh1EVi2iBBCXQRWuSCEUBeBKReEEOoinkXZYlF+TnryVUVNTeOoYrGds4eFrSMhRMPOEUIIqXRg2SLPcxdPHq4ovW9mYe3vG6StZ8iwYiBE4Lnqiod3b10/nnBaItfuNSRMIpWpNwRCCKEGHZVyyctMTTxzJDCoj6F/T1YiF0nkhGEJwwIhhFKZXMvJw8fB0bmirOTk3k12Hj1cfALVGAUhhFCDDkm5pCcn5t28NLD/IJFUCwghhCEMQwhDWBEAEEEAwhDCACEymbxv34HJ169crSz36T2o9e5qU/Z+f+gOp3pD5N7jXh/pwLZ3Th2Lu3VwV0HQ1P5m+Hx5hNBz04YARGm7XpVlD1Mvnfb19QNCAAgBAoQAYVQrdIYREYYhhAAQIESVQ3d2cS3PSy3Izmi9z9qkfTvuGPoHBPYMCOwZ4GffjWnnlDr+xaXs33omn28x89gPBn54ovZ5TAkh9Pfz9MsWz/8ZFeDtDUAysvLOX0kGVsSKJHItnaHDhtk6OBIghDBF90uOHztWUlJMOYVCUWNtZhji734x7o9hk19udQagZdtzYD+/hsnS2oLLMdHxWTXdnAePHeLWjUB1Vmz0yZs1pn4D+weZVSQeO3EurUzLdWD4UGedB1eiE2VO/PUzGazn8NEhtlIAoA9uxRyMyxS5hYb3sa9P4NPS5i1p6eWoi3I/WdLxLNuwqUEmZc33og9vxRw4kwY2NeUCpQKtzW8ydPf7MXvjbiXe/+Kbh+GLxrqJaGXG6YOnkmst+owe5mPEPNq5PyQ+ekQIIdROT16ht3dxyFdXiETi1d9tXrlu/fAhfedMmzh35pS+IcGz5r788/oNhGG27tg1efpcL0/3eTMmz546fk7EWFNjQ0ooVVb/ZbdV2ZfPxJ46HXvqTPzNYr723JqZq1MM3N0soKpCoFSZ/MO8JXvKjC2luSnZ1YrU09HXq41sDe5tfO3lrbncgws/zH1z3R25hVbSqqmL9xYKtOr88gVfXtVxsHqw7ZXX9+QJdaMILVoKDxLWv/HmJ0cfapnpyqpb7FV7efX0pTGcpYXiRHSCEoAqHxn6nr6rs5nExGtQPy8zQhXXv579UXStmXn1H2+P//eJctq0c+bCo0ek8RL9GVw6CKEXTQfcFBV4APg1+ti6/ywxMTIEAABib2c3cUL41q3bXn311W3bd44eOdzNxYmrrQIAQoinS3dOUSmXiKsqyuXaOi1mALTm3vXzCUUMABG5mfYwz8wsMxrpG9zfXk4AoPrY5ii7Nw7O6y2t22H8P90BqPKh1uUx+24qQ0Dce+7yhaNMyAj7nPHLDxUO1N38p/2E//VwYum0vge2x1eGh+uojrR5yzH9gfWavmrZbCsGHu59vdleoaciY3wXH54TJIGBED8piQLr3nToZPlkD0f7DB9/HwcJVB7eFO36zqFZQRIYYHQ37OffS/oGNXROH/z6yBFpXvuflpaGJaEI/d08/bJFyjIAsGLJov/732/VtZynpycRSRNvpOyN2r9m9Sqg9D/Ll3308b+05VJ/L1ctKVtUUHAp8eq0MYNqapUyuVYrw1HKGPac+e5bjSkX68VvX1kxq886vQEvr/xsskF6tpaNpbh+R1oU+/nSLak6VubFF3Klfes6pBSAsetuVZJW+KD2/r0rR3buSGIBpEOHuYjqV7TNWxbxlBKJRAIUqFB2v9lefGleob6NpYhSACAEgFJaeObRoeV1HVKhOOueXl1jiZOrVUlhqdDYOeiPbnpEU7x1NI3Fjo6OaWlpGnaCEOpcOmCFzkgEnh85uM/oEUMy7xWXPnwolmoN6Ndn3rx5IomMUr6Hv9+hqF1ZWRnZdzNy7hfqakkiwkJFrMAzotaHo5QCUNrkX2ROk1ZsmvRpQcw/53y2e9AGY73CczkKaiMFABDu7v7hQuCXu+Zb8Akrj//CU0ppZWWVQCnD52QVmVuZmvKZG0cAAAPlSURBVJjYGtr1e2XxaAPyyCG2aGnCNI5MjOya7QXV5sYFp9JrqKUcKKUUKN98aKCUChQopUTP1OBebFoNtZQDl5NdauFlxDQ9rEePaOdsM1xdI4Ta6+mXLQYMHJl4fF9gUAghxMnBViTVEknkrFQLqEAFHoBQKgBQSzMzU31dXlHF1VZxtVU3b15z7dH3r8aiVTlXYuPKWAAgIjM3j+LDm9NN/B3EacUyC0ttrcCxPb/4/JPtb79kkF9oOGSohUne9l+jHVxzdxzNYwIogPLS5qU/mM+0vb35mPuCbYZy+eypPyx++1vRwmCtvALdoWP89InqSJu3hOK6M0ABZANb7DVgYv8vV3/wS+Uo3SsbzyqDXge9ZkMzZja61w//ft6op7f30GmDv1/5wS/Vo3Uu/HK5/5LFOvReQ+e0LH7HpiZHhA+hRwipgf30008f889btmwJDx8JQNv+ksq1qmprC7LSTc0tGVbMsGIiEjGsmLAsEAYoFXhO4DnKKQReKXBKgVNmZqRWE7FbQPBf9EloVXFOTp7qVSS2DfQ0rLybkpxWYjh80aJBxmKZw5CXnCuTr6eX67n4ujj37Bcoz7qeKXhMmTLIwsLZKGNvitPMIGVGmW3E+3N6GRBgjIPG9jW+l3Q19UE3Z083ax0RUABKSy/vbtYSgJGbe7qbiIG2spfEesAoLz71VrF+32nh7uZ2js7+vZsO7eLs4BtiV3zxRomek4ed44DRviQ1KYvxnffBJC8taNI5MFKmoukRteeEt/qKijo0c+bMZ3IJIYReFOTxGZXQ0NAtkd+r0W9aUmJOytU+/YbIdQxEUjkrkbNiGSMSA4DAK3lFLa+o5hTViury82dPaBub+wQPVO8AnkjI2DDhE92fIyebPCmL0faWL76Zs96IiYl53rNACD1THfVwru6evlaOLhdOHgGed/MMsHZwZQSeCgwAUEEAKhQW5CRfS6jhlP79hunqGXZcpV39jc4nJzHa3hIhhF5AHfj4XIlU1nv4OEHgM1KSbv2xh2FFBBgAoCDwHGdgauY36CWxRKrJEG2i7x8xXqLVlkHa3hIhhF48Hf4l0QxhHN29Hd29O6LztiB6vpPHtmmgtrdECKEX0LN4HjpCCKFnAL+xCCGEugj8TlGEEOoi2pBDx5QLQgh1BphyQQihLgIDOkIIdREdXraIEELo2cCyRYQQ6iKwygUhhLoIzKEjhFAXgWWLCCHURTw5oC9cuPQZzAMhhJCGnvA8dIQQQp0F87wngBBC6OnAgI4QQl0EBnSEEOoiMKAjhFAXgQEdIYS6CAzoCCHURWBARwihLgIDOkIIdRH/DzHUVwtNVLLGAAAAAElFTkSuQmCC", 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", + "image/png": 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", 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", 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", 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WbpO2b+lGA4B98EjzBVu9VneiAarCD+O+YPvYGe/7DrJv25J7TvUGoNxm714SPX9UwE57S+T6l0+3hDvrBAxd/QyuQaKlGQAAcMF3S8dvuEFbCVjKM3q/i9BJuyCFJy8eMGHSgNQ2LrZFFOpZ3bSg70dbB8+Y4TfYxoJvE3XoX1O0vB0nqK6/iV839+jRo5s3b3p7e/v7+7+S6jl6vXyHnU3c4+fjgIWvdrnAGEPlgKmcLapQiwE4lrt55+7QyXPqs1WZeGnEO8CVcmgRsmzhtei/jjxqaWHXKzp2cAvAQHcd3itrcs7CrVa4Ml3GALYhS+dfWThjxLGWLa1f2lMA2MJ30aqbi5eGX7C2pUX9Pt7yNw/1R0lXrmERV6aPNVrBdfvG1aAHa9ZRMzdtiBsgHhTaefaSiXeDF+2c2VsEANUkNTQOBgCqa/8OcWsXJ2xZK61SWK06tbVMTdWs5nNT8Fre16MoL/1y/4ZePdzFDk60yJwRWjBCc1poRjFCAOBZFacqZ5Vl6i/q0uKXly9dHDZ5gdje0fB6EIxHAzv92bNnZWVlWg+jBAUFHTmyS1+LZSXFaUkJA3z8rMUSRmhBiywYoTktMKMYAQDwrJJTlbOKMvWYKS4quHgxddCYKeaW1voaIrz1TJ36vuHvJzMYnufOf324vLigp2c/K1t7umL4MgCI51TqnweVl8hu/nxJhekhY2aKzIww8UR44wQFBR0+vMOAghzLXvn+GxFCnn18LWzEtNCcFogoWgCAeZblVOWcsqy0+OVPV39Q8nzfISMZsoMAoSamTZtn+PvJDIai6MDRkSVy2Y8XksuKb1CIkkidrWzEFE0XywqfP3vCcTwtNOsTFEFu694yDPsGpWi6/9CwkuKiq1fTORUrFIikTq1t7CSAQVZYkP8sW6FUUALBu/0GWVrbGmyFYOIYf31WE0srm4CRUwCA49jC/Fy57AXPca0d23j4hDBkl4vmSmNfOtyISGRpZdMnYDgAcBz78nm+rPgFAFg4iN07d3y1owSJdARDaaL9jWmacXBq5eBk2AosoUlp7P7GxvjBEEXTdlInO6mTcdUSTByyCxPByOj7/B2B0GSQ988StCHvnyW8rZD3zxK0Ie+fJbytkHyWYHRIvCM0U17v+izh/5FGdjqZvyM0W8j7ZwnakPfPEt5WSD5LMDIk3hGaLWR9lqBNozudxDtCM4WszxK0afT6LJm/IzRT6s9n09PT1S+s8vHxUX8SiMQUJAbz3nvLGlOcQHh9vK79UQgEAqG50cQbRBIIBMIbg8Q7AoFgKpB4RyAQTAUS7wgEgqlA4h2BQDAVSLwjEAimAol3BALBVCDxjkAgmAr/A2AV62jW4o/GAAAAAElFTkSuQmCC", "text/plain": [ "" ] @@ -720,7 +683,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3.10.6 64-bit", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -734,7 +697,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.6" + "version": "3.11.5" }, "vscode": { "interpreter": { diff --git a/docs/source/examples/10 Declarative Modeling.ipynb b/docs/source/examples/10 Declarative Modeling.ipynb index 4d1bf8212..cce8f731c 100644 --- a/docs/source/examples/10 Declarative Modeling.ipynb +++ b/docs/source/examples/10 Declarative Modeling.ipynb @@ -60,11 +60,11 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ - "#!pip install capellambse_context_diagrams" + "!pip install capellambse_context_diagrams" ] }, { @@ -76,7 +76,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -102,7 +102,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -124,9 +124,59 @@ }, { "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], + "execution_count": 4, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{Promise(identifier='usr-port-promise'): \n", + " .applied_property_value_groups = []\n", + " .applied_property_values = []\n", + " .constraints = []\n", + " .description = ''\n", + " .direction = \n", + " .exchanges = ... # backreference to ComponentExchange - omitted: can be slow to compute\n", + " .filtering_criteria = []\n", + " .name = 'usr'\n", + " .owner = \n", + " .parent = \n", + " .progress_status = 'NOT_SET'\n", + " .property_value_groups = []\n", + " .property_values = []\n", + " .requirements = []\n", + " .summary = None\n", + " .traces = []\n", + " .uuid = '3a2ff9e0-adcc-4d2d-ae4f-7001a0c25475'\n", + " .xtype = 'org.polarsys.capella.core.data.fa:ComponentPort',\n", + " Promise(identifier='cm-port-promise'): \n", + " .applied_property_value_groups = []\n", + " .applied_property_values = []\n", + " .constraints = []\n", + " .description = ''\n", + " .direction = \n", + " .exchanges = ... # backreference to ComponentExchange - omitted: can be slow to compute\n", + " .filtering_criteria = []\n", + " .name = 'cm'\n", + " .owner = \n", + " .parent = \n", + " .progress_status = 'NOT_SET'\n", + " .property_value_groups = []\n", + " .property_values = []\n", + " .requirements = []\n", + " .summary = None\n", + " .traces = []\n", + " .uuid = '99f8db47-4771-4e4e-993a-b252398d8806'\n", + " .xtype = 'org.polarsys.capella.core.data.fa:ComponentPort'}" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "model_update = f\"\"\"\n", "- parent: !uuid {root_component.uuid}\n", @@ -166,17 +216,17 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 5, "metadata": {}, "outputs": [ { "data": { - "image/png": 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"text/plain": [ "" ] }, - "execution_count": 6, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -195,7 +245,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3.10.6 ('venv')", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -209,9 +259,8 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.6" + "version": "3.11.5" }, - "orig_nbformat": 4, "vscode": { "interpreter": { "hash": "c5ea7dc634d8047a259e5b898f154d237fbe6934b444b1a949475949608d751e" @@ -219,5 +268,5 @@ } }, "nbformat": 4, - "nbformat_minor": 2 + "nbformat_minor": 4 } diff --git a/docs/source/examples/11 Complexity Assessment.ipynb b/docs/source/examples/11 Complexity Assessment.ipynb index adb7a6f55..f76d88176 100644 --- a/docs/source/examples/11 Complexity Assessment.ipynb +++ b/docs/source/examples/11 Complexity Assessment.ipynb @@ -106,7 +106,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.9" + "version": "3.11.5" }, "vscode": { "interpreter": { @@ -115,5 +115,5 @@ } }, "nbformat": 4, - "nbformat_minor": 2 + "nbformat_minor": 4 } From 51e8fd4b258ae10d0d3a4ef0e475f626b56f949d Mon Sep 17 00:00:00 2001 From: Martin Lehmann Date: Thu, 21 Sep 2023 14:34:34 +0200 Subject: [PATCH 4/4] build: Add JupyterLab's `.virtual_documents` to gitignore --- .gitignore | 1 + 1 file changed, 1 insertion(+) diff --git a/.gitignore b/.gitignore index 410063c06..b82983080 100644 --- a/.gitignore +++ b/.gitignore @@ -86,6 +86,7 @@ target/ # Jupyter Notebook .ipynb_checkpoints +.virtual_documents # IPython profile_default/