


'''simple docstring'''




import unittest

import numpy as np

from transformers import RoFormerConfig, 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.roformer.modeling_flax_roformer import (
           FlaxRoFormerForMaskedLM,
           FlaxRoFormerForMultipleChoice,
           FlaxRoFormerForQuestionAnswering,
           FlaxRoFormerForSequenceClassification,
           FlaxRoFormerForTokenClassification,
           FlaxRoFormerModel,
       )

class 		UpperCAmelCase_      (  unittest.TestCase		):





     def __init__( self       :      str    ,      UpperCAmelCase__       :      Union[str, Any]    ,      UpperCAmelCase__       :      List[Any]=1_3    ,      UpperCAmelCase__       :      Tuple=7    ,      UpperCAmelCase__       :      List[Any]=True    ,      UpperCAmelCase__       :      Dict=True    ,      UpperCAmelCase__       :      Optional[Any]=True    ,      UpperCAmelCase__       :      int=True    ,      UpperCAmelCase__       :      int=9_9    ,      UpperCAmelCase__       :      List[str]=3_2    ,      UpperCAmelCase__       :      Tuple=5    ,      UpperCAmelCase__       :      List[str]=4    ,      UpperCAmelCase__       :      Tuple=3_7    ,      UpperCAmelCase__       :      Union[str, Any]="gelu"    ,      UpperCAmelCase__       :      Any=0.1    ,      UpperCAmelCase__       :      Tuple=0.1    ,      UpperCAmelCase__       :      int=5_1_2    ,      UpperCAmelCase__       :      int=1_6    ,      UpperCAmelCase__       :      Optional[int]=2    ,      UpperCAmelCase__       :      Tuple=0.02    ,      UpperCAmelCase__       :      Any=4    ,      )				->  int:
        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 							__UpperCAmelCase      ( self       :      Dict    )				->  Optional[Any]:
        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     =			RoFormerConfig(
            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=UpperCAmelCase__    ,      initializer_range=self.initializer_range    ,      )

        return config, input_ids, token_type_ids, attention_mask





     def 							__UpperCAmelCase      ( self       :      Any    )				->  str:
        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 		UpperCAmelCase_      (  __lowercase       ,	unittest.TestCase		):
     lowerCamelCase				:	Optional[Any]		=     True

     lowerCamelCase				:	Tuple		=     (
         (
             FlaxRoFormerModel,
             FlaxRoFormerForMaskedLM,
             FlaxRoFormerForSequenceClassification,
             FlaxRoFormerForTokenClassification,
             FlaxRoFormerForMultipleChoice,
             FlaxRoFormerForQuestionAnswering,
         )
         if is_flax_available()
         else ()
     )





     def 							__UpperCAmelCase      ( self       :      str    )				->  str:
        lowerCAmelCase     =			FlaxRoFormerModelTester(self    )





     @slow
     def 							__UpperCAmelCase      ( self       :      List[Any]    )				->  List[Any]:
        for model_class_name in self.all_model_classes:
           lowerCAmelCase     =			model_class_name.from_pretrained('junnyu/roformer_chinese_small'    ,      from_pt=UpperCAmelCase__    )
           lowerCAmelCase     =			model(np.ones((1, 1)    )    )
           self.assertIsNotNone(UpperCAmelCase__    )




@require_flax
class 		UpperCAmelCase_      (  unittest.TestCase		):





     @slow
     def 							__UpperCAmelCase      ( self       :      Optional[Any]    )				->  str:
        lowerCAmelCase     =			FlaxRoFormerForMaskedLM.from_pretrained('junnyu/roformer_chinese_base'    )
        lowerCAmelCase     =			jnp.array([[0, 1, 2, 3, 4, 5]]    )
        lowerCAmelCase     =			model(UpperCAmelCase__    )[0]

        lowerCAmelCase     =			5_0_0_0_0

        lowerCAmelCase     =			(1, 6, vocab_size)
        self.assertEqual(output.shape    ,      UpperCAmelCase__    )

        lowerCAmelCase     =			jnp.array(
            [[[-0.1_205, -1.0_265, 0.2_922], [-1.5_134, 0.1_974, 0.1_519], [-5.0_135, -3.9_003, -0.8_404]]]    )

        self.assertTrue(jnp.allclose(output[:, :3, :3]    ,      UpperCAmelCase__    ,      atol=1E-4    )    )









'''simple docstring'''




from __future__ import annotations

from typing import Any

class 		UpperCAmelCase_      :





     def __init__( self       :      Optional[int]    ,      UpperCAmelCase__       :      int    ,      UpperCAmelCase__       :      int    ,      UpperCAmelCase__       :      float = 0    )				->  None:
        lowerCAmelCase     ,  lowerCAmelCase     =			row, column
        lowerCAmelCase     =			[[default_value for c in range(UpperCAmelCase__    )] for r in range(UpperCAmelCase__    )]





     def __str__( self       :      List[str]    )				->  str:
        lowerCAmelCase     =			F'''Matrix consist of {self.row} rows and {self.column} columns\n'''

        # Make string identifier
        lowerCAmelCase     =			0
        for row_vector in self.array:
           for obj in row_vector:
              lowerCAmelCase     =			max(UpperCAmelCase__    ,      len(str(UpperCAmelCase__    )    )    )
        lowerCAmelCase     =			F'''%{max_element_length}s'''

        # Make string and return
        def single_line(UpperCAmelCase__       :      list[float]    ) -> str:
           nonlocal string_format_identifier
           lowerCAmelCase     =			'['
           line += ", ".join(string_format_identifier % (obj,) for obj in row_vector    )
           line += "]"
           return line

        s += "\n".join(single_line(UpperCAmelCase__    ) for row_vector in self.array    )
        return s





     def __repr__( self       :      List[str]    )				->  str:
        return str(self    )





     def 							__UpperCAmelCase      ( self       :      Optional[int]    ,      UpperCAmelCase__       :      tuple[int, int]    )				->  bool:
        if not (isinstance(UpperCAmelCase__    ,      (list, tuple)    ) and len(UpperCAmelCase__    ) == 2):
           return False
        elif not (0 <= loc[0] < self.row and 0 <= loc[1] < self.column):
           return False
        else:
           return True





     def __getitem__( self       :      Any    ,      UpperCAmelCase__       :      tuple[int, int]    )				->  Any:
        assert self.validate_indicies(UpperCAmelCase__    )
        return self.array[loc[0]][loc[1]]





     def __setitem__( self       :      Dict    ,      UpperCAmelCase__       :      tuple[int, int]    ,      UpperCAmelCase__       :      float    )				->  None:
        assert self.validate_indicies(UpperCAmelCase__    )
        lowerCAmelCase     =			value





     def __add__( self       :      Any    ,      UpperCAmelCase__       :      Matrix    )				->  Matrix:
        assert isinstance(UpperCAmelCase__    ,      UpperCAmelCase__    )
        assert self.row == another.row and self.column == another.column

        # Add
        lowerCAmelCase     =			Matrix(self.row    ,      self.column    )
        for r in range(self.row    ):
           for c in range(self.column    ):
              lowerCAmelCase     =			self[r, c] + another[r, c]
        return result





     def __neg__( self       :      int    )				->  Matrix:
        lowerCAmelCase     =			Matrix(self.row    ,      self.column    )
        for r in range(self.row    ):
           for c in range(self.column    ):
              lowerCAmelCase     =			-self[r, c]
        return result





     def __sub__( self       :      str    ,      UpperCAmelCase__       :      Matrix    )				->  Matrix:
        return self + (-another)





     def __mul__( self       :      str    ,      UpperCAmelCase__       :      int | float | Matrix    )				->  Matrix:

        if isinstance(UpperCAmelCase__    ,      (int, float)    ):  # Scalar multiplication
           lowerCAmelCase     =			Matrix(self.row    ,      self.column    )
           for r in range(self.row    ):
              for c in range(self.column    ):
                 lowerCAmelCase     =			self[r, c] * another
           return result
        elif isinstance(UpperCAmelCase__    ,      UpperCAmelCase__    ):  # Matrix multiplication
           assert self.column == another.row
           lowerCAmelCase     =			Matrix(self.row    ,      another.column    )
           for r in range(self.row    ):
              for c in range(another.column    ):
                 for i in range(self.column    ):
                    result[r, c] += self[r, i] * another[i, c]
           return result
        else:
           lowerCAmelCase     =			F'''Unsupported type given for another ({type(UpperCAmelCase__    )})'''
           raise TypeError(UpperCAmelCase__    )





     def 							__UpperCAmelCase      ( self       :      Optional[Any]    )				->  Matrix:
        lowerCAmelCase     =			Matrix(self.column    ,      self.row    )
        for r in range(self.row    ):
           for c in range(self.column    ):
              lowerCAmelCase     =			self[r, c]
        return result





     def 							__UpperCAmelCase      ( self       :      List[str]    ,      UpperCAmelCase__       :      Matrix    ,      UpperCAmelCase__       :      Matrix    )				->  Any:
        assert isinstance(UpperCAmelCase__    ,      UpperCAmelCase__    ) and isinstance(UpperCAmelCase__    ,      UpperCAmelCase__    )
        assert self.row == self.column == u.row == v.row  # u, v should be column vector
        assert u.column == v.column == 1  # u, v should be column vector

        # Calculate
        lowerCAmelCase     =			v.transpose()
        lowerCAmelCase     =			(v_t * self * u)[0, 0] + 1
        if numerator_factor == 0:
           return None  # It's not invertable
        return self - ((self * u) * (v_t * self) * (1.0 / numerator_factor))


# Testing
if __name__ == "__main__":





       def 	a_					( ):
          # a^(-1)
          lowerCAmelCase     =			Matrix(3	, 3	, 0				)
          for i in range(3				):
             lowerCAmelCase     =			1
          print(f'''a^(-1) is {ainv}'''				)
          # u, v
          lowerCAmelCase     =			Matrix(3	, 1	, 0				)
          lowerCAmelCase     ,  lowerCAmelCase     ,  lowerCAmelCase     =			1, 2, -3
          lowerCAmelCase     =			Matrix(3	, 1	, 0				)
          lowerCAmelCase     ,  lowerCAmelCase     ,  lowerCAmelCase     =			4, -2, 5
          print(f'''u is {u}'''				)
          print(f'''v is {v}'''				)
          print(f'''uv^T is {u * v.transpose()}'''				)
          # Sherman Morrison
          print(f'''(a + uv^T)^(-1) is {ainv.sherman_morrison(lowerCamelCase	, lowerCamelCase				)}'''				)





       def 	a_					( ):
          import doctest

          doctest.testmod()




       testa()





