





import argparse
import os
import re


UpperCamelCase__      ="""src/diffusers"""

# Pattern that looks at the indentation in a line.
UpperCamelCase__      =re.compile(R'^(\s*)\S')
# Pattern that matches `"key":" and puts `key` in group 0.
UpperCamelCase__      =re.compile(R'^\s*\"([^\"]+)\":')
# Pattern that matches `_import_structure["key"]` and puts `key` in group 0.
UpperCamelCase__      =re.compile(R'^\s*_import_structure\[\"([^\"]+)\"\]')
# Pattern that matches `"key",` and puts `key` in group 0.
UpperCamelCase__      =re.compile(R'^\s*\"([^\"]+)\",\s*$')
# Pattern that matches any `[stuff]` and puts `stuff` in group 0.
UpperCamelCase__      =re.compile(R'\[([^\]]+)\]')






def     lowerCamelCase__			(__lowerCamelCase	):
     _SCREAMING_SNAKE_CASE       :	str						    =							_re_indent.search(_lowerCamelCase	)
     return "" if search is None else search.groups()[0]






def     lowerCamelCase__			(__lowerCamelCase,       __lowerCamelCase="",       __lowerCamelCase=None,       __lowerCamelCase=None	):
     _SCREAMING_SNAKE_CASE       :	Union[str, Any]						    =							0
     _SCREAMING_SNAKE_CASE       :	Dict						    =							code.split("\n"	)
     if start_prompt is not None:
          while not lines[index].startswith(_lowerCamelCase	):
               index += 1
          _SCREAMING_SNAKE_CASE       :	Dict						    =							["\n".join(lines[:index]	)]
     else:
          _SCREAMING_SNAKE_CASE       :	Optional[Any]						    =							[]

     # We split into blocks until we get to the `end_prompt` (or the end of the block).
     _SCREAMING_SNAKE_CASE       :	Any						    =							[lines[index]]
     index += 1
     while index < len(_lowerCamelCase	) and (end_prompt is None or not lines[index].startswith(_lowerCamelCase	)):
          if len(lines[index]	) > 0 and get_indent(lines[index]	) == indent_level:
               if len(_lowerCamelCase	) > 0 and get_indent(current_block[-1]	).startswith(indent_level + " "	):
                    current_block.append(lines[index]	)
                    blocks.append("\n".join(_lowerCamelCase	)	)
                    if index < len(_lowerCamelCase	) - 1:
                         _SCREAMING_SNAKE_CASE       :	Optional[Any]						    =							[lines[index + 1]]
                         index += 1
                    else:
                         _SCREAMING_SNAKE_CASE       :	Optional[int]						    =							[]
               else:
                    blocks.append("\n".join(_lowerCamelCase	)	)
                    _SCREAMING_SNAKE_CASE       :	str						    =							[lines[index]]
          else:
               current_block.append(lines[index]	)
          index += 1

     # Adds current block if it's nonempty.
     if len(_lowerCamelCase	) > 0:
          blocks.append("\n".join(_lowerCamelCase	)	)

     # Add final block after end_prompt if provided.
     if end_prompt is not None and index < len(_lowerCamelCase	):
          blocks.append("\n".join(lines[index:]	)	)

     return blocks






def     lowerCamelCase__			(__lowerCamelCase	):

     def _inner(__lowerCamelCase	):
          return key(_lowerCamelCase	).lower().replace("_",       ""	)

     return _inner






def     lowerCamelCase__			(__lowerCamelCase,       __lowerCamelCase=None	):

     # If no key is provided, we use a noop.
     def noop(__lowerCamelCase	):
          return x

     if key is None:
          _SCREAMING_SNAKE_CASE       :	Optional[Any]						    =							noop
     # Constants are all uppercase, they go first.
     _SCREAMING_SNAKE_CASE       :	List[Any]						    =							[obj for obj in objects if key(_lowerCamelCase	).isupper()]
     # Classes are not all uppercase but start with a capital, they go second.
     _SCREAMING_SNAKE_CASE       :	Union[str, Any]						    =							[obj for obj in objects if key(_lowerCamelCase	)[0].isupper() and not key(_lowerCamelCase	).isupper()]
     # Functions begin with a lowercase, they go last.
     _SCREAMING_SNAKE_CASE       :	List[str]						    =							[obj for obj in objects if not key(_lowerCamelCase	)[0].isupper()]

     _SCREAMING_SNAKE_CASE       :	int						    =							ignore_underscore(_lowerCamelCase	)
     return sorted(_lowerCamelCase,       key=_lowerCamelCase	) + sorted(_lowerCamelCase,       key=_lowerCamelCase	) + sorted(_lowerCamelCase,       key=_lowerCamelCase	)






def     lowerCamelCase__			(__lowerCamelCase	):

     # This inner function sort imports between [ ].
     def _replace(__lowerCamelCase	):
          _SCREAMING_SNAKE_CASE       :	List[str]						    =							match.groups()[0]
          if "," not in imports:
               return f"""[{imports}]"""
          _SCREAMING_SNAKE_CASE       :	int						    =							[part.strip().replace("\"",       ""	) for part in imports.split(","	)]
          # We will have a final empty element if the line finished with a comma.
          if len(keys[-1]	) == 0:
               _SCREAMING_SNAKE_CASE       :	str						    =							keys[:-1]
          return "[" + ", ".join([f"""\"{k}\"""" for k in sort_objects(_lowerCamelCase	)]	) + "]"

     _SCREAMING_SNAKE_CASE       :	Optional[int]						    =							import_statement.split("\n"	)
     if len(_lowerCamelCase	) > 3:
          # Here we have to sort internal imports that are on several lines (one per name):
          # key: [
          #     "object1",
          #     "object2",
          #     ...
          # ]

          # We may have to ignore one or two lines on each side.
          _SCREAMING_SNAKE_CASE       :	int						    =							2 if lines[1].strip() == "[" else 1
          _SCREAMING_SNAKE_CASE       :	Optional[Any]						    =							[(i, _re_strip_line.search(_lowerCamelCase	).groups()[0]) for i, line in enumerate(lines[idx:-idx]	)]
          _SCREAMING_SNAKE_CASE       :	int						    =							sort_objects(_lowerCamelCase,       key=lambda __lowerCamelCase	: x[1]	)
          _SCREAMING_SNAKE_CASE       :	Optional[Any]						    =							[lines[x[0] + idx] for x in sorted_indices]
          return "\n".join(lines[:idx] + sorted_lines + lines[-idx:]	)
     elif len(_lowerCamelCase	) == 3:
          # Here we have to sort internal imports that are on one separate line:
          # key: [
          #     "object1", "object2", ...
          # ]
          if _re_bracket_content.search(lines[1]	) is not None:
               _SCREAMING_SNAKE_CASE       :	Any						    =							_re_bracket_content.sub(_replace,       lines[1]	)
          else:
               _SCREAMING_SNAKE_CASE       :	Dict						    =							[part.strip().replace("\"",       ""	) for part in lines[1].split(","	)]
               # We will have a final empty element if the line finished with a comma.
               if len(keys[-1]	) == 0:
                    _SCREAMING_SNAKE_CASE       :	int						    =							keys[:-1]
               _SCREAMING_SNAKE_CASE       :	List[Any]						    =							get_indent(lines[1]	) + ", ".join([f"""\"{k}\"""" for k in sort_objects(_lowerCamelCase	)]	)
          return "\n".join(_lowerCamelCase	)
     else:
          # Finally we have to deal with imports fitting on one line
          _SCREAMING_SNAKE_CASE       :	str						    =							_re_bracket_content.sub(_replace,       _lowerCamelCase	)
          return import_statement






def     lowerCamelCase__			(__lowerCamelCase,       __lowerCamelCase=True	):
     with open(_lowerCamelCase,       "r"	) as f:
          _SCREAMING_SNAKE_CASE       :	int						    =							f.read()

     if "_import_structure" not in code:
          return

     # Blocks of indent level 0
     _SCREAMING_SNAKE_CASE       :	Tuple						    =							split_code_in_indented_blocks(
         _lowerCamelCase,       start_prompt="_import_structure = {",       end_prompt="if TYPE_CHECKING:"	)

     # We ignore block 0 (everything until start_prompt) and the last block (everything after end_prompt).
     for block_idx in range(1,       len(_lowerCamelCase	) - 1	):
          # Check if the block contains some `_import_structure`s thingy to sort.
          _SCREAMING_SNAKE_CASE       :	int						    =							main_blocks[block_idx]
          _SCREAMING_SNAKE_CASE       :	List[str]						    =							block.split("\n"	)

          # Get to the start of the imports.
          _SCREAMING_SNAKE_CASE       :	List[Any]						    =							0
          while line_idx < len(_lowerCamelCase	) and "_import_structure" not in block_lines[line_idx]:
               # Skip dummy import blocks
               if "import dummy" in block_lines[line_idx]:
                    _SCREAMING_SNAKE_CASE       :	Optional[int]						    =							len(_lowerCamelCase	)
               else:
                    line_idx += 1
          if line_idx >= len(_lowerCamelCase	):
               continue

          # Ignore beginning and last line: they don't contain anything.
          _SCREAMING_SNAKE_CASE       :	Tuple						    =							"\n".join(block_lines[line_idx:-1]	)
          _SCREAMING_SNAKE_CASE       :	Union[str, Any]						    =							get_indent(block_lines[1]	)
          # Slit the internal block into blocks of indent level 1.
          _SCREAMING_SNAKE_CASE       :	Optional[int]						    =							split_code_in_indented_blocks(_lowerCamelCase,       indent_level=_lowerCamelCase	)
          # We have two categories of import key: list or _import_structure[key].append/extend
          _SCREAMING_SNAKE_CASE       :	List[str]						    =							_re_direct_key if "_import_structure" in block_lines[0] else _re_indirect_key
          # Grab the keys, but there is a trap: some lines are empty or just comments.
          _SCREAMING_SNAKE_CASE       :	str						    =							[(pattern.search(_lowerCamelCase	).groups()[0] if pattern.search(_lowerCamelCase	) is not None else None) for b in internal_blocks]
          # We only sort the lines with a key.
          _SCREAMING_SNAKE_CASE       :	Any						    =							[(i, key) for i, key in enumerate(_lowerCamelCase	) if key is not None]
          _SCREAMING_SNAKE_CASE       :	Union[str, Any]						    =							[x[0] for x in sorted(_lowerCamelCase,       key=lambda __lowerCamelCase	: x[1]	)]

          # We reorder the blocks by leaving empty lines/comments as they were and reorder the rest.
          _SCREAMING_SNAKE_CASE       :	int						    =							0
          _SCREAMING_SNAKE_CASE       :	Optional[int]						    =							[]
          for i in range(len(_lowerCamelCase	)	):
               if keys[i] is None:
                    reordered_blocks.append(internal_blocks[i]	)
               else:
                    _SCREAMING_SNAKE_CASE       :	str						    =							sort_objects_in_import(internal_blocks[sorted_indices[count]]	)
                    reordered_blocks.append(_lowerCamelCase	)
                    count += 1

        # And we put our main block back together with its first and last line.
          _SCREAMING_SNAKE_CASE       :	str						    =							"\n".join(block_lines[:line_idx] + reordered_blocks + [block_lines[-1]]	)

     if code != "\n".join(_lowerCamelCase	):
          if check_only:
               return True
          else:
               print(f"""Overwriting {file}."""	)
               with open(_lowerCamelCase,       "w"	) as f:
                    f.write("\n".join(_lowerCamelCase	)	)






def     lowerCamelCase__			(__lowerCamelCase=True	):
     _SCREAMING_SNAKE_CASE       :	Union[str, Any]						    =							[]
     for root, _, files in os.walk(_lowerCamelCase	):
          if "__init__.py" in files:
               _SCREAMING_SNAKE_CASE       :	Tuple						    =							sort_imports(os.path.join(_lowerCamelCase,       "__init__.py"	),       check_only=_lowerCamelCase	)
               if result:
                    _SCREAMING_SNAKE_CASE       :	int						    =							[os.path.join(_lowerCamelCase,       "__init__.py"	)]
     if len(_lowerCamelCase	) > 0:
          raise ValueError(f"""Would overwrite {len(_lowerCamelCase	)} files, run `make style`."""	)


if __name__ == "__main__":
       UpperCamelCase__      =argparse.ArgumentParser()
       parser.add_argument('--check_only', action='store_true', help='Whether to only check or fix style.')
       UpperCamelCase__      =parser.parse_args()

       sort_imports_in_all_inits(check_only=args.check_only)







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 			lowerCAmelCase__:






       '''simple docstring'''


       def __init__(      self    ,						__lowerCamelCase    ,						__lowerCamelCase=1_2    ,						__lowerCamelCase=7    ,						__lowerCamelCase=True    ,						__lowerCamelCase=True    ,						__lowerCamelCase=True    ,						__lowerCamelCase=9_9    ,						__lowerCamelCase=3_2    ,						__lowerCamelCase=3_2    ,						__lowerCamelCase=2    ,						__lowerCamelCase=4    ,						__lowerCamelCase=3_7    ,						__lowerCamelCase=0.1    ,						__lowerCamelCase=0.1    ,						__lowerCamelCase=5_1_2    ,						__lowerCamelCase=0.02    ,						__lowerCamelCase=0    ,						__lowerCamelCase=None    ,						)			->     Any:
            _SCREAMING_SNAKE_CASE       :	int						    =							parent
            _SCREAMING_SNAKE_CASE       :	Union[str, Any]						    =							batch_size
            _SCREAMING_SNAKE_CASE       :	str						    =							seq_length
            _SCREAMING_SNAKE_CASE       :	str						    =							is_training
            _SCREAMING_SNAKE_CASE       :	str						    =							use_input_mask
            _SCREAMING_SNAKE_CASE       :	int						    =							use_labels
            _SCREAMING_SNAKE_CASE       :	List[Any]						    =							vocab_size
            _SCREAMING_SNAKE_CASE       :	Dict						    =							hidden_size
            _SCREAMING_SNAKE_CASE       :	int						    =							projection_dim
            _SCREAMING_SNAKE_CASE       :	Optional[Any]						    =							num_hidden_layers
            _SCREAMING_SNAKE_CASE       :	int						    =							num_attention_heads
            _SCREAMING_SNAKE_CASE       :	Optional[int]						    =							intermediate_size
            _SCREAMING_SNAKE_CASE       :	int						    =							dropout
            _SCREAMING_SNAKE_CASE       :	Union[str, Any]						    =							attention_dropout
            _SCREAMING_SNAKE_CASE       :	Optional[int]						    =							max_position_embeddings
            _SCREAMING_SNAKE_CASE       :	Dict						    =							initializer_range
            _SCREAMING_SNAKE_CASE       :	Tuple						    =							scope
            _SCREAMING_SNAKE_CASE       :	Any						    =							bos_token_id




       def     UpperCamelCase_			(      self							)			->     Optional[Any]:
            _SCREAMING_SNAKE_CASE       :	Any						    =							ids_tensor([self.batch_size, self.seq_length]    ,						self.vocab_size							)

            _SCREAMING_SNAKE_CASE       :	Optional[Any]						    =							None
            if self.use_input_mask:
                 _SCREAMING_SNAKE_CASE       :	List[str]						    =							random_attention_mask([self.batch_size, self.seq_length]							)

            if input_mask is not None:
                 _SCREAMING_SNAKE_CASE       :	Optional[Any]						    =							input_mask.numpy()
                 _SCREAMING_SNAKE_CASE    ,			_SCREAMING_SNAKE_CASE       :	int						    =							input_mask.shape
                 _SCREAMING_SNAKE_CASE       :	str						    =							np.random.randint(1    ,						seq_length - 1    ,						size=(batch_size,)							)
                 for batch_idx, start_index in enumerate(__lowerCamelCase							):
                      _SCREAMING_SNAKE_CASE       :	Union[str, Any]						    =							1
                      _SCREAMING_SNAKE_CASE       :	List[str]						    =							0

            _SCREAMING_SNAKE_CASE       :	Optional[int]						    =							self.get_config()

            return config, input_ids, tf.convert_to_tensor(__lowerCamelCase							)




       def     UpperCamelCase_			(      self							)			->     List[str]:
            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     UpperCamelCase_			(      self    ,						__lowerCamelCase    ,						__lowerCamelCase    ,						__lowerCamelCase							)			->     List[str]:
            _SCREAMING_SNAKE_CASE       :	Optional[int]						    =							TFBlipTextModel(config=__lowerCamelCase							)
            _SCREAMING_SNAKE_CASE       :	Union[str, Any]						    =							model(__lowerCamelCase    ,						attention_mask=__lowerCamelCase    ,						training=__lowerCamelCase							)
            _SCREAMING_SNAKE_CASE       :	Dict						    =							model(__lowerCamelCase    ,						training=__lowerCamelCase							)
            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     UpperCamelCase_			(      self							)			->     str:
            _SCREAMING_SNAKE_CASE       :	Optional[int]						    =							self.prepare_config_and_inputs()
            _SCREAMING_SNAKE_CASE    ,			_SCREAMING_SNAKE_CASE    ,			_SCREAMING_SNAKE_CASE       :	int						    =							config_and_inputs
            _SCREAMING_SNAKE_CASE       :	List[str]						    =							{"input_ids": input_ids, "attention_mask": input_mask}
            return config, inputs_dict





@require_tf
class 			lowerCAmelCase__( __lowercase  ,     unittest.TestCase    ):






       '''simple docstring'''


       __snake_case 			=    (TFBlipTextModel,) if is_tf_available() else ()
       __snake_case 			=    False
       __snake_case 			=    False
       __snake_case 			=    False




       def     UpperCamelCase_			(      self							)			->     Any:
            _SCREAMING_SNAKE_CASE       :	Optional[Any]						    =							BlipTextModelTester(self							)
            _SCREAMING_SNAKE_CASE       :	Tuple						    =							ConfigTester(self    ,						config_class=__lowerCamelCase    ,						hidden_size=3_7							)




       def     UpperCamelCase_			(      self							)			->     Union[str, Any]:
            self.config_tester.run_common_tests()




       def     UpperCamelCase_			(      self							)			->     int:
            _SCREAMING_SNAKE_CASE       :	Optional[int]						    =							self.model_tester.prepare_config_and_inputs()
            self.model_tester.create_and_check_model(*__lowerCamelCase							)




       def     UpperCamelCase_			(      self							)			->     int:
            pass




       def     UpperCamelCase_			(      self							)			->     Tuple:
            pass




       @unittest.skip(reason="Blip does not use inputs_embeds"							)
       def     UpperCamelCase_			(      self							)			->     Dict:
            pass




       @unittest.skip(reason="BlipTextModel has no base class and is not available in MODEL_MAPPING"							)
       def     UpperCamelCase_			(      self							)			->     Optional[int]:
            pass




       @unittest.skip(reason="BlipTextModel has no base class and is not available in MODEL_MAPPING"							)
       def     UpperCamelCase_			(      self							)			->     Optional[Any]:
            pass




       @slow
       def     UpperCamelCase_			(      self							)			->     int:
            for model_name in TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
                 _SCREAMING_SNAKE_CASE       :	Union[str, Any]						    =							TFBlipTextModel.from_pretrained(__lowerCamelCase							)
                 self.assertIsNotNone(__lowerCamelCase							)







       def     UpperCamelCase_			(      self    ,						__lowerCamelCase=True							)			->     int:
            super().test_pt_tf_model_equivalence(allow_missing_keys=__lowerCamelCase							)