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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>
84 lines
2.7 KiB
Python
84 lines
2.7 KiB
Python
"""
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Conversion of volume units.
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Available Units:- Cubic metre,Litre,KiloLitre,Gallon,Cubic yard,Cubic foot,cup
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USAGE :
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-> Import this file into their respective project.
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-> Use the function length_conversion() for conversion of volume 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/Cubic_metre
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-> Wikipedia reference: https://en.wikipedia.org/wiki/Litre
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-> Wikipedia reference: https://en.wiktionary.org/wiki/kilolitre
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-> Wikipedia reference: https://en.wikipedia.org/wiki/Gallon
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-> Wikipedia reference: https://en.wikipedia.org/wiki/Cubic_yard
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-> Wikipedia reference: https://en.wikipedia.org/wiki/Cubic_foot
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-> Wikipedia reference: https://en.wikipedia.org/wiki/Cup_(unit)
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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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METRIC_CONVERSION = {
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"cubic meter": FromTo(1, 1),
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"litre": FromTo(0.001, 1000),
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"kilolitre": FromTo(1, 1),
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"gallon": FromTo(0.00454, 264.172),
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"cubic yard": FromTo(0.76455, 1.30795),
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"cubic foot": FromTo(0.028, 35.3147),
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"cup": FromTo(0.000236588, 4226.75),
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}
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def volume_conversion(value: float, from_type: str, to_type: str) -> float:
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"""
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Conversion between volume units.
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>>> volume_conversion(4, "cubic meter", "litre")
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4000
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>>> volume_conversion(1, "litre", "gallon")
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0.264172
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>>> volume_conversion(1, "kilolitre", "cubic meter")
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1
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>>> volume_conversion(3, "gallon", "cubic yard")
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0.017814279
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>>> volume_conversion(2, "cubic yard", "litre")
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1529.1
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>>> volume_conversion(4, "cubic foot", "cup")
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473.396
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>>> volume_conversion(1, "cup", "kilolitre")
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0.000236588
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>>> volume_conversion(4, "wrongUnit", "litre")
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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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cubic meter, litre, kilolitre, gallon, cubic yard, cubic foot, cup
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"""
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if from_type not in METRIC_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(METRIC_CONVERSION)
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)
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if to_type not in METRIC_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(METRIC_CONVERSION)
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)
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return (
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value
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* METRIC_CONVERSION[from_type].from_factor
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* METRIC_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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