




'''simple docstring'''







from .number_theory.prime_numbers import next_prime





class      lowerCamelCase_							:




					'''simple docstring'''






					def __init__(    self,  __UpperCamelCase,  __UpperCamelCase = None,  __UpperCamelCase = None,  ):
							_snake_case	       =       size_table
							_snake_case	       =       [None] * self.size_table
							_snake_case	       =       0.75 if lim_charge is None else lim_charge
							_snake_case	       =       1 if charge_factor is None else charge_factor
							_snake_case	       =       []
							_snake_case	       =       {}






					def 				__SCREAMING_SNAKE_CASE	(    self ):
							return self._keys






					def 				__SCREAMING_SNAKE_CASE	(    self ):
							return sum(1 for slot in self.values if slot is not None ) / (
							    self.size_table * self.charge_factor
							)






					def 				__SCREAMING_SNAKE_CASE	(    self,  __UpperCamelCase ):
							return key % self.size_table






					def 				__SCREAMING_SNAKE_CASE	(    self,  __UpperCamelCase ):
							print(f'''step {step_ord}''' )
							print(list(range(len(self.values ) ) ) )
							print(self.values )






					def 				__SCREAMING_SNAKE_CASE	(    self,  __UpperCamelCase ):
							_snake_case	       =       1
							_snake_case	       =       values
							for value in values:
									self.insert_data(__UpperCamelCase )
									self._step_by_step(__UpperCamelCase )
									i += 1






					def 				__SCREAMING_SNAKE_CASE	(    self,  __UpperCamelCase,  __UpperCamelCase ):
							_snake_case	       =       data
							_snake_case	       =       data






					def 				__SCREAMING_SNAKE_CASE	(    self,  __UpperCamelCase,  __UpperCamelCase=None ):
							_snake_case	       =       self.hash_function(key + 1 )

							while self.values[new_key] is not None and self.values[new_key] != key:
									if self.values.count(__UpperCamelCase ) > 0:
											_snake_case	       =       self.hash_function(new_key + 1 )
									else:
											_snake_case	       =       None
											break

							return new_key






					def 				__SCREAMING_SNAKE_CASE	(    self ):
							_snake_case	       =       [value for value in self.values if value is not None]
							_snake_case	       =       next_prime(self.size_table,  factor=2 )
							self._keys.clear()
							_snake_case	       =       [None] * self.size_table  # hell's pointers D: don't DRY ;/
							for value in survivor_values:
									self.insert_data(__UpperCamelCase )






					def 				__SCREAMING_SNAKE_CASE	(    self,  __UpperCamelCase ):
							_snake_case	       =       self.hash_function(__UpperCamelCase )

							if self.values[key] is None:
									self._set_value(__UpperCamelCase,  __UpperCamelCase )

							elif self.values[key] == data:
									pass

							else:
									_snake_case	       =       self._collision_resolution(__UpperCamelCase,  __UpperCamelCase )
									if collision_resolution is not None:
											self._set_value(__UpperCamelCase,  __UpperCamelCase )
									else:
											self.rehashing()
											self.insert_data(__UpperCamelCase )






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_				)