from collections import namedtuple

__SCREAMING_SNAKE_CASE						:    int     = namedtuple('from_to', 'from_ to')

__SCREAMING_SNAKE_CASE						:    str     = {
    'millimeter': 'mm',
    'centimeter': 'cm',
    'meter': 'm',
    'kilometer': 'km',
    'inch': 'in',
    'inche': 'in',  # Trailing 's' has been stripped off
    'feet': 'ft',
    'foot': 'ft',
    'yard': 'yd',
    'mile': 'mi',
}

__SCREAMING_SNAKE_CASE						:    List[Any]     = {
    'mm': from_to(0.0_01, 1_0_0_0),
    'cm': from_to(0.01, 1_0_0),
    'm': from_to(1, 1),
    'km': from_to(1_0_0_0, 0.0_01),
    'in': from_to(0.02_54, 39.37_01),
    'ft': from_to(0.30_48, 3.2_80_84),
    'yd': from_to(0.91_44, 1.0_93_61),
    'mi': from_to(16_09.34, 0.0_00_62_13_71),
}
def 					snake_case						(__lowercase					,			__lowercase					,			__lowercase						)       ->       float:

						'''simple docstring'''



						_snake_case						:     Union[str, Any]				=    from_type.lower().rstrip("s"						)
						_snake_case						:     Dict				=    TYPE_CONVERSION.get(__lowercase					,			__lowercase						)
						_snake_case						:     List[str]				=    to_type.lower().rstrip("s"						)
						_snake_case						:     Union[str, Any]				=    TYPE_CONVERSION.get(__lowercase					,			__lowercase						)
						if new_from not in METRIC_CONVERSION:
												_snake_case						:     Union[str, Any]				=    (
												    F"""Invalid 'from_type' value: {from_type!r}.\n"""
												    F"""Conversion abbreviations are: {', '.join(__lowercase						)}"""
												)
												raise ValueError(__lowercase						)
						if new_to not in METRIC_CONVERSION:
												_snake_case						:     str				=    (
												    F"""Invalid 'to_type' value: {to_type!r}.\n"""
												    F"""Conversion abbreviations are: {', '.join(__lowercase						)}"""
												)
												raise ValueError(__lowercase						)
						return value * METRIC_CONVERSION[new_from].from_ * METRIC_CONVERSION[new_to].to


if __name__ == "__main__":
				import doctest

				doctest.testmod()
import unittest

import numpy as np

from transformers import is_tf_available
from transformers.testing_utils import require_tf


if is_tf_available():
				import tensorflow as tf

				from transformers.activations_tf import get_tf_activation



@require_tf
class    lowercase_    (     unittest.TestCase		):



							def        UpperCamelCase       (						self				):
													_snake_case						:     int				=    tf.constant([-100, -1.0, -0.1, 0, 0.1, 1.0, 100.0]				)
													_snake_case						:     List[Any]				=    get_tf_activation("gelu"				)
													_snake_case						:     Any				=    get_tf_activation("gelu_10"				)

													_snake_case						:     Dict				=    gelu(lowercase_				)
													_snake_case						:     Optional[int]				=    geluaa(lowercase_				)

													_snake_case						:     Tuple				=    tf.where(y_gelu_aa < 10.0      ,				1.0      ,				0.0				)

													self.assertEqual(tf.math.reduce_max(lowercase_				).numpy().item()      ,				10.0				)
													self.assertTrue(np.allclose(y_gelu * clipped_mask      ,				y_gelu_aa * clipped_mask				)				)



							def        UpperCamelCase       (						self				):
													get_tf_activation("gelu"				)
													get_tf_activation("gelu_10"				)
													get_tf_activation("gelu_fast"				)
													get_tf_activation("gelu_new"				)
													get_tf_activation("glu"				)
													get_tf_activation("mish"				)
													get_tf_activation("quick_gelu"				)
													get_tf_activation("relu"				)
													get_tf_activation("sigmoid"				)
													get_tf_activation("silu"				)
													get_tf_activation("swish"				)
													get_tf_activation("tanh"				)
													with self.assertRaises(lowercase_				):
																			get_tf_activation("bogus"				)
													with self.assertRaises(lowercase_				):
																			get_tf_activation(lowercase_				)