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Fix ruff errors (#8936)

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* 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>
This commit is contained in:
Tianyi Zheng
2023-08-09 00:55:30 -07:00
committed by GitHub
parent 842d03fb2a
commit ae0fc85401
21 changed files with 121 additions and 94 deletions
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40
conversions/volume_conversions.py
View File

@ -18,35 +18,39 @@ REFERENCES :
-> Wikipedia reference: https://en.wikipedia.org/wiki/Cup_(unit)
"""
from collections import namedtuple
from typing import NamedTuple
class FromTo(NamedTuple):
from_factor: float
to_factor: float
from_to = namedtuple("from_to", "from_ to")
METRIC_CONVERSION = {
"cubicmeter": from_to(1, 1),
"litre": from_to(0.001, 1000),
"kilolitre": from_to(1, 1),
"gallon": from_to(0.00454, 264.172),
"cubicyard": from_to(0.76455, 1.30795),
"cubicfoot": from_to(0.028, 35.3147),
"cup": from_to(0.000236588, 4226.75),
"cubic meter": FromTo(1, 1),
"litre": FromTo(0.001, 1000),
"kilolitre": FromTo(1, 1),
"gallon": FromTo(0.00454, 264.172),
"cubic yard": FromTo(0.76455, 1.30795),
"cubic foot": FromTo(0.028, 35.3147),
"cup": FromTo(0.000236588, 4226.75),
}
def volume_conversion(value: float, from_type: str, to_type: str) -> float:
"""
Conversion between volume units.
>>> volume_conversion(4, "cubicmeter", "litre")
>>> volume_conversion(4, "cubic meter", "litre")
4000
>>> volume_conversion(1, "litre", "gallon")
0.264172
>>> volume_conversion(1, "kilolitre", "cubicmeter")
>>> volume_conversion(1, "kilolitre", "cubic meter")
1
>>> volume_conversion(3, "gallon", "cubicyard")
>>> volume_conversion(3, "gallon", "cubic yard")
0.017814279
>>> volume_conversion(2, "cubicyard", "litre")
>>> volume_conversion(2, "cubic yard", "litre")
1529.1
>>> volume_conversion(4, "cubicfoot", "cup")
>>> volume_conversion(4, "cubic foot", "cup")
473.396
>>> volume_conversion(1, "cup", "kilolitre")
0.000236588
@ -54,7 +58,7 @@ def volume_conversion(value: float, from_type: str, to_type: str) -> float:
Traceback (most recent call last):
...
ValueError: Invalid 'from_type' value: 'wrongUnit' Supported values are:
cubicmeter, litre, kilolitre, gallon, cubicyard, cubicfoot, cup
cubic meter, litre, kilolitre, gallon, cubic yard, cubic foot, cup
"""
if from_type not in METRIC_CONVERSION:
raise ValueError(
@ -66,7 +70,11 @@ def volume_conversion(value: float, from_type: str, to_type: str) -> float:
f"Invalid 'to_type' value: {to_type!r}. Supported values are:\n"
+ ", ".join(METRIC_CONVERSION)
)
return value * METRIC_CONVERSION[from_type].from_ * METRIC_CONVERSION[to_type].to
return (
value
* METRIC_CONVERSION[from_type].from_factor
* METRIC_CONVERSION[to_type].to_factor
)
if __name__ == "__main__":