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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>
88 lines
2.9 KiB
Python
88 lines
2.9 KiB
Python
"""
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Conversion of pressure units.
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Available Units:- Pascal,Bar,Kilopascal,Megapascal,psi(pound per square inch),
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inHg(in mercury column),torr,atm
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USAGE :
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-> Import this file into their respective project.
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-> Use the function pressure_conversion() for conversion of pressure units.
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-> Parameters :
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-> value : The number of from units you want to convert
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-> from_type : From which type you want to convert
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-> to_type : To which type you want to convert
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REFERENCES :
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-> Wikipedia reference: https://en.wikipedia.org/wiki/Pascal_(unit)
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-> Wikipedia reference: https://en.wikipedia.org/wiki/Pound_per_square_inch
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-> Wikipedia reference: https://en.wikipedia.org/wiki/Inch_of_mercury
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-> Wikipedia reference: https://en.wikipedia.org/wiki/Torr
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-> https://en.wikipedia.org/wiki/Standard_atmosphere_(unit)
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-> https://msestudent.com/what-are-the-units-of-pressure/
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-> https://www.unitconverters.net/pressure-converter.html
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"""
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from typing import NamedTuple
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class FromTo(NamedTuple):
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from_factor: float
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to_factor: float
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PRESSURE_CONVERSION = {
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"atm": FromTo(1, 1),
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"pascal": FromTo(0.0000098, 101325),
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"bar": FromTo(0.986923, 1.01325),
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"kilopascal": FromTo(0.00986923, 101.325),
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"megapascal": FromTo(9.86923, 0.101325),
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"psi": FromTo(0.068046, 14.6959),
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"inHg": FromTo(0.0334211, 29.9213),
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"torr": FromTo(0.00131579, 760),
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}
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def pressure_conversion(value: float, from_type: str, to_type: str) -> float:
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"""
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Conversion between pressure units.
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>>> pressure_conversion(4, "atm", "pascal")
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405300
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>>> pressure_conversion(1, "pascal", "psi")
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0.00014401981999999998
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>>> pressure_conversion(1, "bar", "atm")
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0.986923
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>>> pressure_conversion(3, "kilopascal", "bar")
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0.029999991892499998
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>>> pressure_conversion(2, "megapascal", "psi")
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290.074434314
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>>> pressure_conversion(4, "psi", "torr")
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206.85984
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>>> pressure_conversion(1, "inHg", "atm")
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0.0334211
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>>> pressure_conversion(1, "torr", "psi")
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0.019336718261000002
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>>> pressure_conversion(4, "wrongUnit", "atm")
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Traceback (most recent call last):
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...
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ValueError: Invalid 'from_type' value: 'wrongUnit' Supported values are:
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atm, pascal, bar, kilopascal, megapascal, psi, inHg, torr
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"""
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if from_type not in PRESSURE_CONVERSION:
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raise ValueError(
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f"Invalid 'from_type' value: {from_type!r} Supported values are:\n"
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+ ", ".join(PRESSURE_CONVERSION)
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)
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if to_type not in PRESSURE_CONVERSION:
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raise ValueError(
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f"Invalid 'to_type' value: {to_type!r}. Supported values are:\n"
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+ ", ".join(PRESSURE_CONVERSION)
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)
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return (
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value
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* PRESSURE_CONVERSION[from_type].from_factor
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* PRESSURE_CONVERSION[to_type].to_factor
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)
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if __name__ == "__main__":
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import doctest
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doctest.testmod()
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