



"""simple docstring"""







import collections
import os
import re
from pathlib import Path


A    =			'src/transformers'


# Matches is_xxx_available()
A    =			re.compile(r'is\_([a-z_]*)_available()')
# Catches a one-line _import_struct = {xxx}
A    =			re.compile(r'^_import_structure\s+=\s+\{([^\}]+)\}')
# Catches a line with a key-values pattern: "bla": ["foo", "bar"]
A    =			re.compile(r'\s+"\S*":\s+\[([^\]]*)\]')
# Catches a line if not is_foo_available
A    =			re.compile(r'^\s*if\s+not\s+is\_[a-z_]*\_available\(\)')
# Catches a line _import_struct["bla"].append("foo")
A    =			re.compile(r'^\s*_import_structure\["\S*"\]\.append\("(\S*)"\)')
# Catches a line _import_struct["bla"].extend(["foo", "bar"]) or _import_struct["bla"] = ["foo", "bar"]
A    =			re.compile(r'^\s*_import_structure\[\S*\](?:\.extend\(|\s*=\s+)\[([^\]]*)\]')
# Catches a line with an object between quotes and a comma:     "MyModel",
A    =			re.compile(r'^\s+"([^"]+)",')
# Catches a line with objects between brackets only:    ["foo", "bar"],
A    =			re.compile(r'^\s+\[([^\]]+)\]')
# Catches a line with from foo import bar, bla, boo
A    =			re.compile(r'\s+from\s+\S*\s+import\s+([^\(\s].*)\n')
# Catches a line with try:
A    =			re.compile(r'^\s*try:')
# Catches a line with else:
A    =			re.compile(r'^\s*else:')

def   lowerCAmelCase__			(     lowerCamelCase__			) ->							Optional[int]:
							if _re_test_backend.search(_SCREAMING_SNAKE_CASE			) is None:
														return None
							A         =					[b[0] for b in _re_backend.findall(_SCREAMING_SNAKE_CASE			)]
							backends.sort()
							return "_and_".join(_SCREAMING_SNAKE_CASE			)

def   lowerCAmelCase__			(     lowerCamelCase__			) ->							Optional[int]:
							with open(_SCREAMING_SNAKE_CASE				,      'r'				,      encoding='utf-8'				,      newline='\n'			) as f:
														A         =					f.readlines()

							A         =					0
							while line_index < len(_SCREAMING_SNAKE_CASE			) and not lines[line_index].startswith('_import_structure = {'			):
														line_index += 1

							# If this is a traditional init, just return.
							if line_index >= len(_SCREAMING_SNAKE_CASE			):
														return None

							# First grab the objects without a specific backend in _import_structure
							A         =					[]
							while not lines[line_index].startswith('if TYPE_CHECKING'			) and find_backend(lines[line_index]			) is None:
														A         =					lines[line_index]
														# If we have everything on a single line, let's deal with it.
														if _re_one_line_import_struct.search(_SCREAMING_SNAKE_CASE			):
																					A         =					_re_one_line_import_struct.search(_SCREAMING_SNAKE_CASE			).groups()[0]
																					A         =					re.findall(R'\[([^\]]+)\]'				,      _SCREAMING_SNAKE_CASE			)
																					for imp in imports:
																												objects.extend([obj[1:-1] for obj in imp.split(', '			)]			)
																					line_index += 1
																					continue
														A         =					_re_import_struct_key_value.search(_SCREAMING_SNAKE_CASE			)
														if single_line_import_search is not None:
																					A         =					[obj[1:-1] for obj in single_line_import_search.groups()[0].split(', '			) if len(_SCREAMING_SNAKE_CASE			) > 0]
																					objects.extend(_SCREAMING_SNAKE_CASE			)
														elif line.startswith(' ' * 8 + '\"'			):
																					objects.append(line[9:-3]			)
														line_index += 1

							A         =					{'none': objects}
							# Let's continue with backend-specific objects in _import_structure
							while not lines[line_index].startswith('if TYPE_CHECKING'			):
														# If the line is an if not is_backend_available, we grab all objects associated.
														A         =					find_backend(lines[line_index]			)
														# Check if the backend declaration is inside a try block:
														if _re_try.search(lines[line_index - 1]			) is None:
																					A         =					None

														if backend is not None:
																					line_index += 1

																					# Scroll until we hit the else block of try-except-else
																					while _re_else.search(lines[line_index]			) is None:
																												line_index += 1

																					line_index += 1

																					A         =					[]
																					# Until we unindent, add backend objects to the list
																					while len(lines[line_index]			) <= 1 or lines[line_index].startswith(' ' * 4			):
																												A         =					lines[line_index]
																												if _re_import_struct_add_one.search(_SCREAMING_SNAKE_CASE			) is not None:
																																			objects.append(_re_import_struct_add_one.search(_SCREAMING_SNAKE_CASE			).groups()[0]			)
																												elif _re_import_struct_add_many.search(_SCREAMING_SNAKE_CASE			) is not None:
																																			A         =					_re_import_struct_add_many.search(_SCREAMING_SNAKE_CASE			).groups()[0].split(', '			)
																																			A         =					[obj[1:-1] for obj in imports if len(_SCREAMING_SNAKE_CASE			) > 0]
																																			objects.extend(_SCREAMING_SNAKE_CASE			)
																												elif _re_between_brackets.search(_SCREAMING_SNAKE_CASE			) is not None:
																																			A         =					_re_between_brackets.search(_SCREAMING_SNAKE_CASE			).groups()[0].split(', '			)
																																			A         =					[obj[1:-1] for obj in imports if len(_SCREAMING_SNAKE_CASE			) > 0]
																																			objects.extend(_SCREAMING_SNAKE_CASE			)
																												elif _re_quote_object.search(_SCREAMING_SNAKE_CASE			) is not None:
																																			objects.append(_re_quote_object.search(_SCREAMING_SNAKE_CASE			).groups()[0]			)
																												elif line.startswith(' ' * 8 + '\"'			):
																																			objects.append(line[9:-3]			)
																												elif line.startswith(' ' * 12 + '\"'			):
																																			objects.append(line[13:-3]			)
																												line_index += 1

																					A         =					objects
														else:
																					line_index += 1

    # At this stage we are in the TYPE_CHECKING part, first grab the objects without a specific backend
							A         =					[]
							while (
							    line_index < len(_SCREAMING_SNAKE_CASE			)
							    and find_backend(lines[line_index]			) is None
							    and not lines[line_index].startswith('else'			)
							):
														A         =					lines[line_index]
														A         =					_re_import.search(_SCREAMING_SNAKE_CASE			)
														if single_line_import_search is not None:
																					objects.extend(single_line_import_search.groups()[0].split(', '			)			)
														elif line.startswith(' ' * 8			):
																					objects.append(line[8:-2]			)
														line_index += 1

							A         =					{'none': objects}
							# Let's continue with backend-specific objects
							while line_index < len(_SCREAMING_SNAKE_CASE			):
														# If the line is an if is_backend_available, we grab all objects associated.
														A         =					find_backend(lines[line_index]			)
														# Check if the backend declaration is inside a try block:
														if _re_try.search(lines[line_index - 1]			) is None:
																					A         =					None

														if backend is not None:
																					line_index += 1

																					# Scroll until we hit the else block of try-except-else
																					while _re_else.search(lines[line_index]			) is None:
																												line_index += 1

																					line_index += 1

																					A         =					[]
																					# Until we unindent, add backend objects to the list
																					while len(lines[line_index]			) <= 1 or lines[line_index].startswith(' ' * 8			):
																												A         =					lines[line_index]
																												A         =					_re_import.search(_SCREAMING_SNAKE_CASE			)
																												if single_line_import_search is not None:
																																			objects.extend(single_line_import_search.groups()[0].split(', '			)			)
																												elif line.startswith(' ' * 12			):
																																			objects.append(line[12:-2]			)
																												line_index += 1

																					A         =					objects
														else:
																					line_index += 1

							return import_dict_objects, type_hint_objects

def   lowerCAmelCase__			(     lowerCamelCase__				,      lowerCamelCase__			) ->							Tuple:

							def find_duplicates(lowerCamelCase__			):
														return [k for k, v in collections.Counter(_SCREAMING_SNAKE_CASE			).items() if v > 1]

							if list(import_dict_objects.keys()			) != list(type_hint_objects.keys()			):
														return ["Both sides of the init do not have the same backends!"]

							A         =					[]
							for key in import_dict_objects.keys():
														A         =					find_duplicates(import_dict_objects[key]			)
														if duplicate_imports:
																					errors.append(f"""Duplicate _import_structure definitions for: {duplicate_imports}"""			)
														A         =					find_duplicates(type_hint_objects[key]			)
														if duplicate_type_hints:
																					errors.append(f"""Duplicate TYPE_CHECKING objects for: {duplicate_type_hints}"""			)

														if sorted(set(import_dict_objects[key]			)			) != sorted(set(type_hint_objects[key]			)			):
																					A         =					'base imports' if key == 'none' else f"""{key} backend"""
																					errors.append(f"""Differences for {name}:"""			)
																					for a in type_hint_objects[key]:
																												if a not in import_dict_objects[key]:
																																			errors.append(f"""  {a} in TYPE_HINT but not in _import_structure."""			)
																					for a in import_dict_objects[key]:
																												if a not in type_hint_objects[key]:
																																			errors.append(f"""  {a} in _import_structure but not in TYPE_HINT."""			)
							return errors

def   lowerCAmelCase__			(     ) ->							str:
							A         =					[]
							for root, _, files in os.walk(_SCREAMING_SNAKE_CASE			):
														if "__init__.py" in files:
																					A         =					os.path.join(_SCREAMING_SNAKE_CASE				,      '__init__.py'			)
																					A         =					parse_init(_SCREAMING_SNAKE_CASE			)
																					if objects is not None:
																												A         =					analyze_results(*_SCREAMING_SNAKE_CASE			)
																												if len(_SCREAMING_SNAKE_CASE			) > 0:
																																			A         =					f"""Problem in {fname}, both halves do not define the same objects.\n{errors[0]}"""
																																			failures.append('\n'.join(_SCREAMING_SNAKE_CASE			)			)
							if len(_SCREAMING_SNAKE_CASE			) > 0:
														raise ValueError('\n\n'.join(_SCREAMING_SNAKE_CASE			)			)

def   lowerCAmelCase__			(     ) ->							int:
							A         =					[]
							for path, directories, files in os.walk(_SCREAMING_SNAKE_CASE			):
														for folder in directories:
																					# Ignore private modules
																					if folder.startswith('_'			):
																												directories.remove(_SCREAMING_SNAKE_CASE			)
																												continue
																					# Ignore leftovers from branches (empty folders apart from pycache)
																					if len(list((Path(_SCREAMING_SNAKE_CASE			) / folder).glob('*.py'			)			)			) == 0:
																												continue
																					A         =					str((Path(_SCREAMING_SNAKE_CASE			) / folder).relative_to(_SCREAMING_SNAKE_CASE			)			)
																					A         =					short_path.replace(os.path.sep				,      '.'			)
																					submodules.append(_SCREAMING_SNAKE_CASE			)
														for fname in files:
																					if fname == "__init__.py":
																												continue
																					A         =					str((Path(_SCREAMING_SNAKE_CASE			) / fname).relative_to(_SCREAMING_SNAKE_CASE			)			)
																					A         =					short_path.replace('.py'				,      ''			).replace(os.path.sep				,      '.'			)
																					if len(submodule.split('.'			)			) == 1:
																												submodules.append(_SCREAMING_SNAKE_CASE			)
							return submodules


A    =			[
    'convert_pytorch_checkpoint_to_tf2',
    'modeling_flax_pytorch_utils',
    'models.esm.openfold_utils',
]

def   lowerCAmelCase__			(     ) ->							Tuple:
							# This is to make sure the transformers module imported is the one in the repo.
							from transformers.utils import direct_transformers_import

							A         =					direct_transformers_import(_SCREAMING_SNAKE_CASE			)

							A         =					set(transformers._import_structure.keys()			)
							# This contains all the base keys of the _import_structure object defined in the init, but if the user is missing
							# some optional dependencies, they may not have all of them. Thus we read the init to read all additions and
							# (potentiall re-) add them.
							with open(os.path.join(_SCREAMING_SNAKE_CASE				,      '__init__.py'			)				,      'r'			) as f:
														A         =					f.read()
							import_structure_keys.update(set(re.findall(R'import_structure\[\"([^\"]*)\"\]'				,      _SCREAMING_SNAKE_CASE			)			)			)

							A         =					[
							    module
							    for module in get_transformers_submodules()
							    if module not in IGNORE_SUBMODULES and module not in import_structure_keys
							]

							if len(_SCREAMING_SNAKE_CASE			) > 0:
														A         =					'\n'.join(f"""- {module}""" for module in module_not_registered			)
														raise ValueError(
														    'The following submodules are not properly registed in the main init of Transformers:\n'
														    f"""{list_of_modules}\n"""
														    'Make sure they appear somewhere in the keys of `_import_structure` with an empty list as value.'			)


if __name__ == "__main__":
							check_all_inits()
							check_submodules()











"""simple docstring"""







import shutil
import tempfile
import unittest

import numpy as np
import pytest

from transformers.testing_utils import require_vision
from transformers.utils import is_vision_available


if is_vision_available():
							from PIL import Image

							from transformers import (
							    AutoProcessor,
							    BertTokenizerFast,
							    BlipImageProcessor,
							    GPTaTokenizer,
							    InstructBlipProcessor,
							    PreTrainedTokenizerFast,
							)






@require_vision
class      UpperCAmelCase__		(      unittest.TestCase     ):



		def 					A_		( self  :    Dict				)			->						Dict:






									'''simple docstring'''

									A         =					tempfile.mkdtemp()

									A         =					BlipImageProcessor()
									A         =					GPTaTokenizer.from_pretrained('hf-internal-testing/tiny-random-GPT2Model'				)
									A         =					BertTokenizerFast.from_pretrained('hf-internal-testing/tiny-random-bert'				)

									A         =					InstructBlipProcessor(snake_case      ,							snake_case      ,							snake_case				)

									processor.save_pretrained(self.tmpdirname				)



		def 					A_		( self  :    List[str]      ,							**snake_case  :    str				)			->						Dict:






									'''simple docstring'''

									return AutoProcessor.from_pretrained(self.tmpdirname      ,							**snake_case				).tokenizer



		def 					A_		( self  :    int      ,							**snake_case  :    Optional[Any]				)			->						Any:






									'''simple docstring'''

									return AutoProcessor.from_pretrained(self.tmpdirname      ,							**snake_case				).image_processor



		def 					A_		( self  :    Any      ,							**snake_case  :    Union[str, Any]				)			->						Any:






									'''simple docstring'''

									return AutoProcessor.from_pretrained(self.tmpdirname      ,							**snake_case				).qformer_tokenizer



		def 					A_		( self  :    int				)			->						Union[str, Any]:






									'''simple docstring'''

									shutil.rmtree(self.tmpdirname				)



		def 					A_		( self  :    List[Any]				)			->						Tuple:






									'''simple docstring'''

									A         =					[np.random.randint(255      ,							size=(3, 30, 400)      ,							dtype=np.uinta				)]

									A         =					[Image.fromarray(np.moveaxis(snake_case      ,							0      ,							-1				)				) for x in image_inputs]

									return image_inputs



		def 					A_		( self  :    List[Any]				)			->						Optional[int]:






									'''simple docstring'''

									A         =					InstructBlipProcessor(
									    tokenizer=self.get_tokenizer()      ,							image_processor=self.get_image_processor()      ,							qformer_tokenizer=self.get_qformer_tokenizer()      ,							)
									processor.save_pretrained(self.tmpdirname				)

									A         =					self.get_tokenizer(bos_token='(BOS)'      ,							eos_token='(EOS)'				)
									A         =					self.get_image_processor(do_normalize=snake_case      ,							padding_value=1.0				)

									A         =					InstructBlipProcessor.from_pretrained(
									    self.tmpdirname      ,							bos_token='(BOS)'      ,							eos_token='(EOS)'      ,							do_normalize=snake_case      ,							padding_value=1.0				)

									self.assertEqual(processor.tokenizer.get_vocab()      ,							tokenizer_add_kwargs.get_vocab()				)
									self.assertIsInstance(processor.tokenizer      ,							snake_case				)

									self.assertEqual(processor.image_processor.to_json_string()      ,							image_processor_add_kwargs.to_json_string()				)
									self.assertIsInstance(processor.image_processor      ,							snake_case				)
									self.assertIsInstance(processor.qformer_tokenizer      ,							snake_case				)



		def 					A_		( self  :    Optional[Any]				)			->						Dict:






									'''simple docstring'''

									A         =					self.get_image_processor()
									A         =					self.get_tokenizer()
									A         =					self.get_qformer_tokenizer()

									A         =					InstructBlipProcessor(
									    tokenizer=snake_case      ,							image_processor=snake_case      ,							qformer_tokenizer=snake_case				)

									A         =					self.prepare_image_inputs()

									A         =					image_processor(snake_case      ,							return_tensors='np'				)
									A         =					processor(images=snake_case      ,							return_tensors='np'				)

									for key in input_feat_extract.keys():
																self.assertAlmostEqual(input_feat_extract[key].sum()      ,							input_processor[key].sum()      ,							delta=1E-2				)



		def 					A_		( self  :    Tuple				)			->						List[str]:






									'''simple docstring'''

									A         =					self.get_image_processor()
									A         =					self.get_tokenizer()
									A         =					self.get_qformer_tokenizer()

									A         =					InstructBlipProcessor(
									    tokenizer=snake_case      ,							image_processor=snake_case      ,							qformer_tokenizer=snake_case				)

									A         =					'lower newer'

									A         =					processor(text=snake_case				)

									A         =					tokenizer(snake_case      ,							return_token_type_ids=snake_case				)
									A         =					qformer_tokenizer(snake_case      ,							return_token_type_ids=snake_case				)

									for key in encoded_tokens.keys():
																self.assertListEqual(encoded_tokens[key]      ,							encoded_processor[key]				)

									for key in encoded_tokens_qformer.keys():
																self.assertListEqual(encoded_tokens_qformer[key]      ,							encoded_processor['qformer_' + key]				)



		def 					A_		( self  :    List[Any]				)			->						Optional[int]:






									'''simple docstring'''

									A         =					self.get_image_processor()
									A         =					self.get_tokenizer()
									A         =					self.get_qformer_tokenizer()

									A         =					InstructBlipProcessor(
									    tokenizer=snake_case      ,							image_processor=snake_case      ,							qformer_tokenizer=snake_case				)

									A         =					'lower newer'
									A         =					self.prepare_image_inputs()

									A         =					processor(text=snake_case      ,							images=snake_case				)

									self.assertListEqual(
									    list(inputs.keys()				)      ,							['input_ids', 'attention_mask', 'qformer_input_ids', 'qformer_attention_mask', 'pixel_values']      ,							)

									# test if it raises when no input is passed
									with pytest.raises(snake_case				):
																processor()



		def 					A_		( self  :    Optional[Any]				)			->						List[str]:






									'''simple docstring'''

									A         =					self.get_image_processor()
									A         =					self.get_tokenizer()
									A         =					self.get_qformer_tokenizer()

									A         =					InstructBlipProcessor(
									    tokenizer=snake_case      ,							image_processor=snake_case      ,							qformer_tokenizer=snake_case				)

									A         =					[[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

									A         =					processor.batch_decode(snake_case				)
									A         =					tokenizer.batch_decode(snake_case				)

									self.assertListEqual(snake_case      ,							snake_case				)



		def 					A_		( self  :    Tuple				)			->						List[Any]:






									'''simple docstring'''

									A         =					self.get_image_processor()
									A         =					self.get_tokenizer()
									A         =					self.get_qformer_tokenizer()

									A         =					InstructBlipProcessor(
									    tokenizer=snake_case      ,							image_processor=snake_case      ,							qformer_tokenizer=snake_case				)

									A         =					'lower newer'
									A         =					self.prepare_image_inputs()

									A         =					processor(text=snake_case      ,							images=snake_case				)

									self.assertListEqual(
									    list(inputs.keys()				)      ,							['input_ids', 'attention_mask', 'qformer_input_ids', 'qformer_attention_mask', 'pixel_values']      ,							)



