





from __future__ import annotations

import unittest

import numpy as np

from transformers import BlipTextConfig
from transformers.testing_utils import require_tf, slow
from transformers.utils import is_tf_available

from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModelTesterMixin, ids_tensor, random_attention_mask


if is_tf_available():
    import tensorflow as tf

    from transformers import TFBlipTextModel
    from transformers.models.blip.modeling_tf_blip import TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST

class 		SCREAMING_SNAKE_CASE__				:


      def __init__(self       :      Optional[int]				,			a__       :      Optional[int]				,			a__       :      List[str]=12				,			a__       :      Dict=7				,			a__       :      Union[str, Any]=True				,			a__       :      List[str]=True				,			a__       :      List[str]=True				,			a__       :      Any=99				,			a__       :      int=32				,			a__       :      Optional[int]=32				,			a__       :      Optional[Any]=2				,			a__       :      List[Any]=4				,			a__       :      int=37				,			a__       :      List[Any]=0.1				,			a__       :      List[str]=0.1				,			a__       :      List[str]=512				,			a__       :      Dict=0.0_2				,			a__       :      int=0				,			a__       :      Tuple=None				,			):





         """simple docstring"""



         __snake_case							       =   parent
         __snake_case							       =   batch_size
         __snake_case							       =   seq_length
         __snake_case							       =   is_training
         __snake_case							       =   use_input_mask
         __snake_case							       =   use_labels
         __snake_case							       =   vocab_size
         __snake_case							       =   hidden_size
         __snake_case							       =   projection_dim
         __snake_case							       =   num_hidden_layers
         __snake_case							       =   num_attention_heads
         __snake_case							       =   intermediate_size
         __snake_case							       =   dropout
         __snake_case							       =   attention_dropout
         __snake_case							       =   max_position_embeddings
         __snake_case							       =   initializer_range
         __snake_case							       =   scope
         __snake_case							       =   bos_token_id


      def    a (self       :      int      ):





         """simple docstring"""



         __snake_case							       =   ids_tensor([self.batch_size, self.seq_length]				,			self.vocab_size      )

         __snake_case							       =   None
         if self.use_input_mask:
            __snake_case							       =   random_attention_mask([self.batch_size, self.seq_length]      )

         if input_mask is not None:
            __snake_case							       =   input_mask.numpy()
            __snake_case       ,	__snake_case							       =   input_mask.shape
            __snake_case							       =   np.random.randint(1				,			seq_length - 1				,			size=(batch_size,)      )
            for batch_idx, start_index in enumerate(a__      ):
               __snake_case							       =   1
               __snake_case							       =   0

         __snake_case							       =   self.get_config()

         return config, input_ids, tf.convert_to_tensor(a__      )


      def    a (self       :      Any      ):





         """simple docstring"""



         return BlipTextConfig(
             vocab_size=self.vocab_size				,			hidden_size=self.hidden_size				,			projection_dim=self.projection_dim				,			num_hidden_layers=self.num_hidden_layers				,			num_attention_heads=self.num_attention_heads				,			intermediate_size=self.intermediate_size				,			dropout=self.dropout				,			attention_dropout=self.attention_dropout				,			max_position_embeddings=self.max_position_embeddings				,			initializer_range=self.initializer_range				,			bos_token_id=self.bos_token_id				,			)


      def    a (self       :      Any				,			a__       :      Optional[int]				,			a__       :      Tuple				,			a__       :      List[Any]      ):





         """simple docstring"""



         __snake_case							       =   TFBlipTextModel(config=a__      )
         __snake_case							       =   model(a__				,			attention_mask=a__				,			training=a__      )
         __snake_case							       =   model(a__				,			training=a__      )
         self.parent.assertEqual(result.last_hidden_state.shape				,			(self.batch_size, self.seq_length, self.hidden_size)      )
         self.parent.assertEqual(result.pooler_output.shape				,			(self.batch_size, self.hidden_size)      )


      def    a (self       :      Dict      ):





         """simple docstring"""



         __snake_case							       =   self.prepare_config_and_inputs()
         __snake_case       ,	__snake_case       ,	__snake_case							       =   config_and_inputs
         __snake_case							       =   {'''input_ids''': input_ids, '''attention_mask''': input_mask}
         return config, inputs_dict






@require_tf
class 		SCREAMING_SNAKE_CASE__				(       _UpperCAmelCase						,      unittest.TestCase  ):
      A_						:				Dict							=    (TFBlipTextModel,) if is_tf_available() else ()
      A_						:				List[Any]							=    False
      A_						:				List[str]							=    False
      A_						:				Tuple							=    False


      def    a (self       :      List[Any]      ):





         """simple docstring"""



         __snake_case							       =   BlipTextModelTester(self      )
         __snake_case							       =   ConfigTester(self				,			config_class=a__				,			hidden_size=37      )


      def    a (self       :      str      ):





         """simple docstring"""



         self.config_tester.run_common_tests()


      def    a (self       :      Optional[Any]      ):





         """simple docstring"""



         __snake_case							       =   self.model_tester.prepare_config_and_inputs()
         self.model_tester.create_and_check_model(*a__      )


      def    a (self       :      str      ):





         """simple docstring"""



         pass


      def    a (self       :      Any      ):





         """simple docstring"""



         pass


      @unittest.skip(reason='''Blip does not use inputs_embeds'''      )
      def    a (self       :      Union[str, Any]      ):





         """simple docstring"""



         pass


      @unittest.skip(reason='''BlipTextModel has no base class and is not available in MODEL_MAPPING'''      )
      def    a (self       :      Any      ):





         """simple docstring"""



         pass


      @unittest.skip(reason='''BlipTextModel has no base class and is not available in MODEL_MAPPING'''      )
      def    a (self       :      Union[str, Any]      ):





         """simple docstring"""



         pass


      @slow
      def    a (self       :      List[Any]      ):





         """simple docstring"""



         for model_name in TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
            __snake_case							       =   TFBlipTextModel.from_pretrained(a__      )
            self.assertIsNotNone(a__      )


      def    a (self       :      Tuple				,			a__       :      List[str]=True      ):





         """simple docstring"""



         super().test_pt_tf_model_equivalence(allow_missing_keys=a__      )








from datasets.utils.patching import _PatchedModuleObj, patch_submodule

from . import _test_patching






def lowerCamelCase__    (							)      ->				Any:
   import os as original_os
   from os import path as original_path
   from os import rename as original_rename
   from os.path import dirname as original_dirname
   from os.path import join as original_join

   assert _test_patching.os is original_os
   assert _test_patching.path is original_path
   assert _test_patching.join is original_join

   assert _test_patching.renamed_os is original_os
   assert _test_patching.renamed_path is original_path
   assert _test_patching.renamed_join is original_join

   __snake_case							       =   '''__test_patch_submodule_mock__'''
   with patch_submodule(_test_patching       ,      '''os.path.join'''       ,      snake_case_       ):
      # Every way to access os.path.join must be patched, and the rest must stay untouched

      # check os.path.join
      assert isinstance(_test_patching.os       ,      _PatchedModuleObj       )
      assert isinstance(_test_patching.os.path       ,      _PatchedModuleObj       )
      assert _test_patching.os.path.join is mock

      # check path.join
      assert isinstance(_test_patching.path       ,      _PatchedModuleObj       )
      assert _test_patching.path.join is mock

      # check join
      assert _test_patching.join is mock

      # check that the other attributes are untouched
      assert _test_patching.os.rename is original_rename
      assert _test_patching.path.dirname is original_dirname
      assert _test_patching.os.path.dirname is original_dirname

      # Even renamed modules or objects must be patched

      # check renamed_os.path.join
      assert isinstance(_test_patching.renamed_os       ,      _PatchedModuleObj       )
      assert isinstance(_test_patching.renamed_os.path       ,      _PatchedModuleObj       )
      assert _test_patching.renamed_os.path.join is mock

      # check renamed_path.join
      assert isinstance(_test_patching.renamed_path       ,      _PatchedModuleObj       )
      assert _test_patching.renamed_path.join is mock

      # check renamed_join
      assert _test_patching.renamed_join is mock

      # check that the other attributes are untouched
      assert _test_patching.renamed_os.rename is original_rename
      assert _test_patching.renamed_path.dirname is original_dirname
      assert _test_patching.renamed_os.path.dirname is original_dirname

   # check that everthing is back to normal when the patch is over

   assert _test_patching.os is original_os
   assert _test_patching.path is original_path
   assert _test_patching.join is original_join

   assert _test_patching.renamed_os is original_os
   assert _test_patching.renamed_path is original_path
   assert _test_patching.renamed_join is original_join






def lowerCamelCase__    (							)      ->				Any:
   assert _test_patching.open is open

   __snake_case							       =   '''__test_patch_submodule_builtin_mock__'''
   # _test_patching has "open" in its globals
   assert _test_patching.open is open
   with patch_submodule(_test_patching       ,      '''open'''       ,      snake_case_       ):
      assert _test_patching.open is mock

   # check that everthing is back to normal when the patch is over

   assert _test_patching.open is open






def lowerCamelCase__    (							)      ->				List[str]:
   # pandas.read_csv is not present in _test_patching
   __snake_case							       =   '''__test_patch_submodule_missing_mock__'''
   with patch_submodule(_test_patching       ,      '''pandas.read_csv'''       ,      snake_case_       ):
      pass






def lowerCamelCase__    (							)      ->				Union[str, Any]:
   # builtin should always be mocked even if they're not in the globals
   # in case they're loaded at one point
   __snake_case							       =   '''__test_patch_submodule_missing_builtin_mock__'''
   # _test_patching doesn't have "len" in its globals
   assert getattr(_test_patching       ,      '''len'''       ,      snake_case_       ) is None
   with patch_submodule(_test_patching       ,      '''len'''       ,      snake_case_       ):
      assert _test_patching.len is mock
   assert _test_patching.len is len






def lowerCamelCase__    (							)      ->				Union[str, Any]:
   __snake_case							       =   '''__test_patch_submodule_start_and_stop_mock__'''
   __snake_case							       =   patch_submodule(_test_patching       ,      '''open'''       ,      snake_case_       )
   assert _test_patching.open is open
   patch.start()
   assert _test_patching.open is mock
   patch.stop()
   assert _test_patching.open is open






def lowerCamelCase__    (							)      ->				Optional[int]:
   from os import rename as original_rename
   from os.path import dirname as original_dirname
   from os.path import join as original_join

   __snake_case							       =   '''__test_patch_submodule_successive_join__'''
   __snake_case							       =   '''__test_patch_submodule_successive_dirname__'''
   __snake_case							       =   '''__test_patch_submodule_successive_rename__'''
   assert _test_patching.os.path.join is original_join
   assert _test_patching.os.path.dirname is original_dirname
   assert _test_patching.os.rename is original_rename

   with patch_submodule(_test_patching       ,      '''os.path.join'''       ,      snake_case_       ):
      with patch_submodule(_test_patching       ,      '''os.rename'''       ,      snake_case_       ):
         with patch_submodule(_test_patching       ,      '''os.path.dirname'''       ,      snake_case_       ):
            assert _test_patching.os.path.join is mock_join
            assert _test_patching.os.path.dirname is mock_dirname
            assert _test_patching.os.rename is mock_rename

    # try another order
   with patch_submodule(_test_patching       ,      '''os.rename'''       ,      snake_case_       ):
      with patch_submodule(_test_patching       ,      '''os.path.join'''       ,      snake_case_       ):
         with patch_submodule(_test_patching       ,      '''os.path.dirname'''       ,      snake_case_       ):
            assert _test_patching.os.path.join is mock_join
            assert _test_patching.os.path.dirname is mock_dirname
            assert _test_patching.os.rename is mock_rename

   assert _test_patching.os.path.join is original_join
   assert _test_patching.os.path.dirname is original_dirname
   assert _test_patching.os.rename is original_rename







def lowerCamelCase__    (							)      ->				Tuple:
   __snake_case							       =   '''__test_patch_submodule_doesnt_exist_mock__'''
   with patch_submodule(_test_patching       ,      '''__module_that_doesn_exist__.__attribute_that_doesn_exist__'''       ,      snake_case_       ):
      pass
   with patch_submodule(_test_patching       ,      '''os.__attribute_that_doesn_exist__'''       ,      snake_case_       ):
      pass

