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ae0fc85401
* Fix ruff errors
Renamed neural_network/input_data.py to neural_network/input_data.py_tf
because it should be left out of the directory for the following
reasons:
1. Its sole purpose is to be used by neural_network/gan.py_tf, which is
itself left out of the directory because of issues with TensorFlow.
2. It was taken directly from TensorFlow's codebase and is actually
already deprecated. If/when neural_network/gan.py_tf is eventually
re-added back to the directory, its implementation should be changed
to not use neural_network/input_data.py anyway.
* updating DIRECTORY.md
* Change input_data.py_tf file extension
Change input_data.py_tf file extension because algorithms-keeper bot is being picky about it
---------
Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>
58 lines
1.8 KiB
Python
58 lines
1.8 KiB
Python
# https://en.m.wikipedia.org/wiki/Electric_power
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from __future__ import annotations
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from typing import NamedTuple
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class Result(NamedTuple):
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name: str
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value: float
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def electric_power(voltage: float, current: float, power: float) -> tuple:
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"""
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This function can calculate any one of the three (voltage, current, power),
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fundamental value of electrical system.
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examples are below:
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>>> electric_power(voltage=0, current=2, power=5)
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Result(name='voltage', value=2.5)
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>>> electric_power(voltage=2, current=2, power=0)
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Result(name='power', value=4.0)
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>>> electric_power(voltage=-2, current=3, power=0)
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Result(name='power', value=6.0)
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>>> electric_power(voltage=2, current=4, power=2)
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Traceback (most recent call last):
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...
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ValueError: Only one argument must be 0
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>>> electric_power(voltage=0, current=0, power=2)
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Traceback (most recent call last):
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...
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ValueError: Only one argument must be 0
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>>> electric_power(voltage=0, current=2, power=-4)
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Traceback (most recent call last):
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...
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ValueError: Power cannot be negative in any electrical/electronics system
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>>> electric_power(voltage=2.2, current=2.2, power=0)
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Result(name='power', value=4.84)
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"""
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if (voltage, current, power).count(0) != 1:
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raise ValueError("Only one argument must be 0")
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elif power < 0:
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raise ValueError(
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"Power cannot be negative in any electrical/electronics system"
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)
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elif voltage == 0:
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return Result("voltage", power / current)
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elif current == 0:
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return Result("current", power / voltage)
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elif power == 0:
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return Result("power", float(round(abs(voltage * current), 2)))
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else:
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raise ValueError("Exactly one argument must be 0")
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if __name__ == "__main__":
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import doctest
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doctest.testmod()
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