





import unittest

import numpy as np

from transformers import AlbertConfig, is_flax_available
from transformers.testing_utils import require_flax, slow

from ...test_modeling_flax_common import FlaxModelTesterMixin, ids_tensor, random_attention_mask


if is_flax_available():
						import jax.numpy as jnp

						from transformers.models.albert.modeling_flax_albert import (
						    FlaxAlbertForMaskedLM,
						    FlaxAlbertForMultipleChoice,
						    FlaxAlbertForPreTraining,
						    FlaxAlbertForQuestionAnswering,
						    FlaxAlbertForSequenceClassification,
						    FlaxAlbertForTokenClassification,
						    FlaxAlbertModel,
						)

class SCREAMING_SNAKE_CASE_ (					unittest.TestCase   ):





					"""simple docstring"""


					def __init__( self	,  _lowerCAmelCase	,  _lowerCAmelCase=13	,  _lowerCAmelCase=7	,  _lowerCAmelCase=True	,  _lowerCAmelCase=True	,  _lowerCAmelCase=True	,  _lowerCAmelCase=True	,  _lowerCAmelCase=99	,  _lowerCAmelCase=32	,  _lowerCAmelCase=5	,  _lowerCAmelCase=4	,  _lowerCAmelCase=37	,  _lowerCAmelCase="gelu"	,  _lowerCAmelCase=0.1	,  _lowerCAmelCase=0.1	,  _lowerCAmelCase=512	,  _lowerCAmelCase=16	,  _lowerCAmelCase=2	,  _lowerCAmelCase=0.02	,  _lowerCAmelCase=4	,  ):
										lowerCamelCase__       =       parent
										lowerCamelCase__       =       batch_size
										lowerCamelCase__       =       seq_length
										lowerCamelCase__       =       is_training
										lowerCamelCase__       =       use_attention_mask
										lowerCamelCase__       =       use_token_type_ids
										lowerCamelCase__       =       use_labels
										lowerCamelCase__       =       vocab_size
										lowerCamelCase__       =       hidden_size
										lowerCamelCase__       =       num_hidden_layers
										lowerCamelCase__       =       num_attention_heads
										lowerCamelCase__       =       intermediate_size
										lowerCamelCase__       =       hidden_act
										lowerCamelCase__       =       hidden_dropout_prob
										lowerCamelCase__       =       attention_probs_dropout_prob
										lowerCamelCase__       =       max_position_embeddings
										lowerCamelCase__       =       type_vocab_size
										lowerCamelCase__       =       type_sequence_label_size
										lowerCamelCase__       =       initializer_range
										lowerCamelCase__       =       num_choices





					def 					__magic_name__ ( self	):
										lowerCamelCase__       =       ids_tensor([self.batch_size, self.seq_length]	,  self.vocab_size	)

										lowerCamelCase__       =       None
										if self.use_attention_mask:
															lowerCamelCase__       =       random_attention_mask([self.batch_size, self.seq_length]	)

										lowerCamelCase__       =       None
										if self.use_token_type_ids:
															lowerCamelCase__       =       ids_tensor([self.batch_size, self.seq_length]	,  self.type_vocab_size	)

										lowerCamelCase__       =       AlbertConfig(
										    vocab_size=self.vocab_size	,  hidden_size=self.hidden_size	,  num_hidden_layers=self.num_hidden_layers	,  num_attention_heads=self.num_attention_heads	,  intermediate_size=self.intermediate_size	,  hidden_act=self.hidden_act	,  hidden_dropout_prob=self.hidden_dropout_prob	,  attention_probs_dropout_prob=self.attention_probs_dropout_prob	,  max_position_embeddings=self.max_position_embeddings	,  type_vocab_size=self.type_vocab_size	,  is_decoder=_lowerCAmelCase	,  initializer_range=self.initializer_range	,  )

										return config, input_ids, token_type_ids, attention_mask






					def 					__magic_name__ ( self	):
										lowerCamelCase__       =       self.prepare_config_and_inputs()
										lowerCamelCase__    ,		lowerCamelCase__    ,		lowerCamelCase__    ,		lowerCamelCase__       =       config_and_inputs
										lowerCamelCase__       =       {"input_ids": input_ids, "token_type_ids": token_type_ids, "attention_mask": attention_mask}
										return config, inputs_dict

@require_flax
class SCREAMING_SNAKE_CASE_ (					lowercase_							,       unittest.TestCase   ):





					"""simple docstring"""


					A__				 =    (
					    (
					        FlaxAlbertModel,
					        FlaxAlbertForPreTraining,
					        FlaxAlbertForMaskedLM,
					        FlaxAlbertForMultipleChoice,
					        FlaxAlbertForQuestionAnswering,
					        FlaxAlbertForSequenceClassification,
					        FlaxAlbertForTokenClassification,
					        FlaxAlbertForQuestionAnswering,
					    )
					    if is_flax_available()
					    else ()
					)





					def 					__magic_name__ ( self	):
										lowerCamelCase__       =       FlaxAlbertModelTester(self	)






					@slow
					def 					__magic_name__ ( self	):
										for model_class_name in self.all_model_classes:
															lowerCamelCase__       =       model_class_name.from_pretrained("albert-base-v2"	)
															lowerCamelCase__       =       model(np.ones((1, 1)	)	)
															self.assertIsNotNone(_lowerCAmelCase	)

@require_flax
class SCREAMING_SNAKE_CASE_ (					unittest.TestCase   ):





					"""simple docstring"""


					@slow
					def 					__magic_name__ ( self	):
										lowerCamelCase__       =       FlaxAlbertModel.from_pretrained("albert-base-v2"	)
										lowerCamelCase__       =       np.array([[0, 345, 232, 328, 740, 140, 1695, 69, 6078, 1588, 2]]	)
										lowerCamelCase__       =       np.array([[0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]	)
										lowerCamelCase__       =       model(_lowerCAmelCase	,  attention_mask=_lowerCAmelCase	)[0]
										lowerCamelCase__       =       (1, 11, 768)
										self.assertEqual(output.shape	,  _lowerCAmelCase	)
										lowerCamelCase__       =       np.array(
										    [[[-0.6_513, 1.5_035, -0.2_766], [-0.6_515, 1.5_046, -0.2_780], [-0.6_512, 1.5_049, -0.2_784]]]	)

										self.assertTrue(jnp.allclose(output[:, 1:4, 1:4]	,  _lowerCAmelCase	,  atol=1E-4	)	)








from __future__ import annotations

import math
import random
from collections.abc import Collection
from typing import overload

class SCREAMING_SNAKE_CASE_ :





					"""simple docstring"""


					def __init__( self	,  _lowerCAmelCase = None	):
										if components is None:
															lowerCamelCase__       =       []
										lowerCamelCase__       =       list(_lowerCAmelCase	)





					def __len__( self	):
										return len(self.__components	)





					def __str__( self	):
										return "(" + ",".join(map(_lowerCAmelCase	,  self.__components	)	) + ")"





					def __add__( self	,  _lowerCAmelCase	):
										lowerCamelCase__       =       len(self	)
										if size == len(_lowerCAmelCase	):
															lowerCamelCase__       =       [self.__components[i] + other.component(_lowerCAmelCase	) for i in range(_lowerCAmelCase	)]
															return Vector(_lowerCAmelCase	)
										else:
															raise Exception("must have the same size"	)





					def __sub__( self	,  _lowerCAmelCase	):
										lowerCamelCase__       =       len(self	)
										if size == len(_lowerCAmelCase	):
															lowerCamelCase__       =       [self.__components[i] - other.component(_lowerCAmelCase	) for i in range(_lowerCAmelCase	)]
															return Vector(_lowerCAmelCase	)
										else:  # error case
															raise Exception("must have the same size"	)





					@overload
					def __mul__( self	,  _lowerCAmelCase	):
										...





					@overload
					def __mul__( self	,  _lowerCAmelCase	):
										...





					def __mul__( self	,  _lowerCAmelCase	):
										if isinstance(_lowerCAmelCase	,  (float, int)	):
															lowerCamelCase__       =       [c * other for c in self.__components]
															return Vector(_lowerCAmelCase	)
										elif isinstance(_lowerCAmelCase	,  _lowerCAmelCase	) and len(self	) == len(_lowerCAmelCase	):
															lowerCamelCase__       =       len(self	)
															lowerCamelCase__       =       [self.__components[i] * other.component(_lowerCAmelCase	) for i in range(_lowerCAmelCase	)]
															return sum(_lowerCAmelCase	)
										else:  # error case
															raise Exception("invalid operand!"	)





					def 					__magic_name__ ( self	):
										return Vector(self.__components	)





					def 					__magic_name__ ( self	,  _lowerCAmelCase	):
										if isinstance(_lowerCAmelCase	,  _lowerCAmelCase	) and -len(self.__components	) <= i < len(self.__components	):
															return self.__components[i]
										else:
															raise Exception("index out of range"	)





					def 					__magic_name__ ( self	,  _lowerCAmelCase	,  _lowerCAmelCase	):
										assert -len(self.__components	) <= pos < len(self.__components	)
										lowerCamelCase__       =       value





					def 					__magic_name__ ( self	):
										if len(self.__components	) == 0:
															raise Exception("Vector is empty"	)
										lowerCamelCase__       =       [c**2 for c in self.__components]
										return math.sqrt(sum(_lowerCAmelCase	)	)






					def 					__magic_name__ ( self	,  _lowerCAmelCase	,  _lowerCAmelCase = False	):
										lowerCamelCase__       =       self * other
										lowerCamelCase__       =       self.euclidean_length() * other.euclidean_length()
										if deg:
															return math.degrees(math.acos(num / den	)	)
										else:
															return math.acos(num / den	)





def    __UpperCamelCase      (    a) ->Vector:
					assert isinstance(a,     a)
					return Vector([0] * dimension)





def    __UpperCamelCase      (    a,     a) ->Vector:
					assert isinstance(a,     a) and (isinstance(a,     a))
					lowerCamelCase__       =       [0] * dimension
					lowerCamelCase__       =       1
					return Vector(a)





def    __UpperCamelCase      (    a,     a,     a) ->Vector:
					assert (
					    isinstance(a,     a)
					    and isinstance(a,     a)
					    and (isinstance(a,     (int, float)))
					)
					return x * scalar + y





def    __UpperCamelCase      (    a,     a,     a) ->Vector:
					random.seed(a)
					lowerCamelCase__       =       [random.randint(a,     a) for _ in range(a)]
					return Vector(a)

class SCREAMING_SNAKE_CASE_ :





					"""simple docstring"""


					def __init__( self	,  _lowerCAmelCase	,  _lowerCAmelCase	,  _lowerCAmelCase	):
										lowerCamelCase__       =       matrix
										lowerCamelCase__       =       w
										lowerCamelCase__       =       h





					def __str__( self	):
										lowerCamelCase__       =       ""
										for i in range(self.__height	):
															ans += "|"
															for j in range(self.__width	):
																				if j < self.__width - 1:
																									ans += str(self.__matrix[i][j]	) + ","
																				else:
																									ans += str(self.__matrix[i][j]	) + "|\n"
										return ans





					def __add__( self	,  _lowerCAmelCase	):
										if self.__width == other.width() and self.__height == other.height():
															lowerCamelCase__       =       []
															for i in range(self.__height	):
																				lowerCamelCase__       =       [
																				    self.__matrix[i][j] + other.component(_lowerCAmelCase	,  _lowerCAmelCase	)
																				    for j in range(self.__width	)
																				]
																				matrix.append(_lowerCAmelCase	)
															return Matrix(_lowerCAmelCase	,  self.__width	,  self.__height	)
										else:
															raise Exception("matrix must have the same dimension!"	)





					def __sub__( self	,  _lowerCAmelCase	):
										if self.__width == other.width() and self.__height == other.height():
															lowerCamelCase__       =       []
															for i in range(self.__height	):
																				lowerCamelCase__       =       [
																				    self.__matrix[i][j] - other.component(_lowerCAmelCase	,  _lowerCAmelCase	)
																				    for j in range(self.__width	)
																				]
																				matrix.append(_lowerCAmelCase	)
															return Matrix(_lowerCAmelCase	,  self.__width	,  self.__height	)
										else:
															raise Exception("matrices must have the same dimension!"	)





					@overload
					def __mul__( self	,  _lowerCAmelCase	):
										...





					@overload
					def __mul__( self	,  _lowerCAmelCase	):
										...





					def __mul__( self	,  _lowerCAmelCase	):
										if isinstance(_lowerCAmelCase	,  _lowerCAmelCase	):  # matrix-vector
															if len(_lowerCAmelCase	) == self.__width:
																				lowerCamelCase__       =       zero_vector(self.__height	)
																				for i in range(self.__height	):
																									lowerCamelCase__       =       [
																									    self.__matrix[i][j] * other.component(_lowerCAmelCase	)
																									    for j in range(self.__width	)
																									]
																									ans.change_component(_lowerCAmelCase	,  sum(_lowerCAmelCase	)	)
																				return ans
															else:
																				raise Exception(
																				    "vector must have the same size as the "
																				    "number of columns of the matrix!"	)
										elif isinstance(_lowerCAmelCase	,  (int, float)	):  # matrix-scalar
															lowerCamelCase__       =       [
															    [self.__matrix[i][j] * other for j in range(self.__width	)]
															    for i in range(self.__height	)
															]
															return Matrix(_lowerCAmelCase	,  self.__width	,  self.__height	)
										return None





					def 					__magic_name__ ( self	):
										return self.__height





					def 					__magic_name__ ( self	):
										return self.__width





					def 					__magic_name__ ( self	,  _lowerCAmelCase	,  _lowerCAmelCase	):
										if 0 <= x < self.__height and 0 <= y < self.__width:
															return self.__matrix[x][y]
										else:
															raise Exception("change_component: indices out of bounds"	)





					def 					__magic_name__ ( self	,  _lowerCAmelCase	,  _lowerCAmelCase	,  _lowerCAmelCase	):
										if 0 <= x < self.__height and 0 <= y < self.__width:
															lowerCamelCase__       =       value
										else:
															raise Exception("change_component: indices out of bounds"	)





					def 					__magic_name__ ( self	,  _lowerCAmelCase	,  _lowerCAmelCase	):
										if self.__height != self.__width:
															raise Exception("Matrix is not square"	)
										lowerCamelCase__       =       self.__matrix[:x] + self.__matrix[x + 1 :]
										for i in range(len(_lowerCAmelCase	)	):
															lowerCamelCase__       =       minor[i][:y] + minor[i][y + 1 :]
										return Matrix(_lowerCAmelCase	,  self.__width - 1	,  self.__height - 1	).determinant()





					def 					__magic_name__ ( self	,  _lowerCAmelCase	,  _lowerCAmelCase	):
										if self.__height != self.__width:
															raise Exception("Matrix is not square"	)
										if 0 <= x < self.__height and 0 <= y < self.__width:
															return (-1) ** (x + y) * self.minor(_lowerCAmelCase	,  _lowerCAmelCase	)
										else:
															raise Exception("Indices out of bounds"	)






					def 					__magic_name__ ( self	):
										if self.__height != self.__width:
															raise Exception("Matrix is not square"	)
										if self.__height < 1:
															raise Exception("Matrix has no element"	)
										elif self.__height == 1:
															return self.__matrix[0][0]
										elif self.__height == 2:
															return (
															    self.__matrix[0][0] * self.__matrix[1][1]
															    - self.__matrix[0][1] * self.__matrix[1][0]
															)
										else:
															lowerCamelCase__       =       [
															    self.__matrix[0][y] * self.cofactor(0	,  _lowerCAmelCase	) for y in range(self.__width	)
															]
															return sum(_lowerCAmelCase	)





def    __UpperCamelCase      (    a) ->Matrix:
					lowerCamelCase__       =       [[0] * n for _ in range(a)]
					return Matrix(a,     a,     a)







def    __UpperCamelCase      (    a,     a,     a,     a) ->Matrix:
					random.seed(a)
					lowerCamelCase__       =       [
					    [random.randint(a,     a) for _ in range(a)] for _ in range(a)
					]
					return Matrix(a,     a,     a)

