39 lines
1.5 KiB
Markdown
39 lines
1.5 KiB
Markdown
# Pokémon GO Average Scaled Estimators
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## Installation
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The most recent commit can be installed directly from this public PyPI package registry:
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```console
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pip install --index-url https://git.blorp.dev/api/packages/zo/pypi/simple pogo_scaled_estimators
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```
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This package can otherwise be installed locally in development mode:
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```console
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git clone https://git.blorp.dev/zo/pogo-scaled-estimators.git
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cd pogo-scaled-estimators
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pip install -e .
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```
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## Usage
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To run the simulations, choose your parameters such as attacker type, attacker level, and whether Party Power is active.
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Display the average scaled estimators for attackers of the given type:
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```console
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ase-cli POKEMON_TYPE_GRASS # Grass attackers. Defaults to level 40 and no Party Power.
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ase-cli --level 30 POKEMON_TYPE_GRASS # Level 30 Grass attackers, no Party Power.
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ase-cli --party 2 POKEMON_TYPE_GRASS # Level 40 Grass attackers, Party Power with two trainers.
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ase-cli POKEMON_TYPE_DARK POKEMON_TYPE_GHOST # Combined Dark and Ghost attackers.
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```
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The list of attackers can be filtered to exclude Mega, Shadow, or Legendary Pokémon. The simulations can also exclude
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exclusive moves, also called legacy or elite moves. For example:
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```console
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ase-cli --no-mega --no-shadow POKEMON_TYPE_FIRE # Non-shadow, non-mega Fire attackers.
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ase-cli --no-legendary POKEMON_TYPE_FIRE # Non-legendary Fire attackers.
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ase-cli --no-legacy POKEMON_TYPE_FIRE # Fire attackers, excluding any legacy move.
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```
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