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Read the instructions and fill out your responses at the bottom.
Relation
Is your feature request related to a problem? Please describe. Please provide a clear and concise description of what the problem is. Ex. I'm always frustrated when [...]
Description
A clear and concise description of what you want to happen.
Alternatives
A clear and concise description of any alternative solutions or features you've considered.
Additional context
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FILL ME OUT
Relation
RUN_UAM.jl currently generates one sample. This is insufficient for encounter set generation.
Description
Modify the run script to generate and output multiple samples. To promote good load balancing, generated files should be organized in subdirectories based on initial altitude or some other criteria. For example, if 100,000 samples are to be generated, a single directory should not be used for all 100,000 samples.
For reproducibility, the random seed should be set and unique for each sample.
Alternatives
A simple for loop that sets the random seed and calls generate_trajectory_file is a good starting point. Parallel computing may be required to generate a large set of unique samples.
Additional
To support encounter set development, at least 100,000 unique samples should be efficiently generated.
The text was updated successfully, but these errors were encountered:
Instructions
Read the instructions and fill out your responses at the bottom.
Relation
Is your feature request related to a problem? Please describe. Please provide a clear and concise description of what the problem is. Ex. I'm always frustrated when [...]
Description
A clear and concise description of what you want to happen.
Alternatives
A clear and concise description of any alternative solutions or features you've considered.
Additional context
Add any other context or screenshots about the feature request here.
FILL ME OUT
Relation
RUN_UAM.jl currently generates one sample. This is insufficient for encounter set generation.
Description
Modify the run script to generate and output multiple samples. To promote good load balancing, generated files should be organized in subdirectories based on initial altitude or some other criteria. For example, if 100,000 samples are to be generated, a single directory should not be used for all 100,000 samples.
For reproducibility, the random seed should be set and unique for each sample.
Alternatives
A simple for loop that sets the random seed and calls
generate_trajectory_file
is a good starting point. Parallel computing may be required to generate a large set of unique samples.Additional
To support encounter set development, at least 100,000 unique samples should be efficiently generated.
The text was updated successfully, but these errors were encountered: