





'''simple docstring'''






import argparse
import os
import re


A   : List[Any]             =			'src/diffusers'

# Pattern that looks at the indentation in a line.
A   : Tuple             =			re.compile(r'^(\s*)\S')
# Pattern that matches `"key":" and puts `key` in group 0.
A   : List[Any]             =			re.compile(r'^\s*"([^"]+)":')
# Pattern that matches `_import_structure["key"]` and puts `key` in group 0.
A   : Dict             =			re.compile(r'^\s*_import_structure\["([^"]+)"\]')
# Pattern that matches `"key",` and puts `key` in group 0.
A   : Optional[Any]             =			re.compile(r'^\s*"([^"]+)",\s*$')
# Pattern that matches any `[stuff]` and puts `stuff` in group 0.
A   : str             =			re.compile(r'\[([^\]]+)\]')





def       lowercase_      (		lowercase__						)   ->Union[str, Any]:
						_snake_case:   str  					=		_re_indent.search(lowercase__						)
						return "" if search is None else search.groups()[0]





def       lowercase_      (		lowercase__				,  lowercase__=""				,  lowercase__=None				,  lowercase__=None						)   ->Dict:
						_snake_case:   Tuple  					=		0
						_snake_case:   List[Any]  					=		code.split('\n'						)
						if start_prompt is not None:
												while not lines[index].startswith(lowercase__						):
																		index += 1
												_snake_case:   List[Any]  					=		['\n'.join(lines[:index]						)]
						else:
												_snake_case:   str  					=		[]

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

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

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

						return blocks





def       lowercase_      (		lowercase__						)   ->Optional[Any]:

						def _inner(lowercase__						):
												return key(lowercase__						).lower().replace('_'				,  ''						)

						return _inner





def       lowercase_      (		lowercase__				,  lowercase__=None						)   ->List[Any]:

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

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

						_snake_case:   Tuple  					=		ignore_underscore(lowercase__						)
						return sorted(lowercase__				,  key=lowercase__						) + sorted(lowercase__				,  key=lowercase__						) + sorted(lowercase__				,  key=lowercase__						)





def       lowercase_      (		lowercase__						)   ->Optional[int]:

						# This inner function sort imports between [ ].
						def _replace(lowercase__						):
												_snake_case:   Any  					=		match.groups()[0]
												if "," not in imports:
																		return F'''[{imports}]'''
												_snake_case:   Union[str, Any]  					=		[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:
																		_snake_case:   List[str]  					=		keys[:-1]
												return "[" + ", ".join([F'''"{k}"''' for k in sort_objects(lowercase__						)]						) + "]"

						_snake_case:   Any  					=		import_statement.split('\n'						)
						if len(lowercase__						) > 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.
												_snake_case:   Any  					=		2 if lines[1].strip() == '[' else 1
												_snake_case:   Optional[Any]  					=		[(i, _re_strip_line.search(lowercase__						).groups()[0]) for i, line in enumerate(lines[idx:-idx]						)]
												_snake_case:   str  					=		sort_objects(lowercase__				,  key=lambda lowercase__						: x[1]						)
												_snake_case:   Optional[Any]  					=		[lines[x[0] + idx] for x in sorted_indices]
												return "\n".join(lines[:idx] + sorted_lines + lines[-idx:]						)
						elif len(lowercase__						) == 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:
																		_snake_case:   Any  					=		_re_bracket_content.sub(_replace				,  lines[1]						)
												else:
																		_snake_case:   Tuple  					=		[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:
																								_snake_case:   Union[str, Any]  					=		keys[:-1]
																		_snake_case:   Tuple  					=		get_indent(lines[1]						) + ', '.join([F'''"{k}"''' for k in sort_objects(lowercase__						)]						)
												return "\n".join(lowercase__						)
						else:
												# Finally we have to deal with imports fitting on one line
												_snake_case:   str  					=		_re_bracket_content.sub(_replace				,  lowercase__						)
												return import_statement





def       lowercase_      (		lowercase__				,  lowercase__=True						)   ->List[Any]:
						with open(lowercase__				,  'r'						) as f:
												_snake_case:   Optional[Any]  					=		f.read()

						if "_import_structure" not in code:
												return

						# Blocks of indent level 0
						_snake_case:   Optional[Any]  					=		split_code_in_indented_blocks(
						    lowercase__				,  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(lowercase__						) - 1						):
												# Check if the block contains some `_import_structure`s thingy to sort.
												_snake_case:   List[str]  					=		main_blocks[block_idx]
												_snake_case:   List[str]  					=		block.split('\n'						)

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

												# Ignore beginning and last line: they don't contain anything.
												_snake_case:   str  					=		'\n'.join(block_lines[line_idx:-1]						)
												_snake_case:   str  					=		get_indent(block_lines[1]						)
												# Slit the internal block into blocks of indent level 1.
												_snake_case:   List[Any]  					=		split_code_in_indented_blocks(lowercase__				,  indent_level=lowercase__						)
												# We have two categories of import key: list or _import_structure[key].append/extend
												_snake_case:   Any  					=		_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.
												_snake_case:   str  					=		[(pattern.search(lowercase__						).groups()[0] if pattern.search(lowercase__						) is not None else None) for b in internal_blocks]
												# We only sort the lines with a key.
												_snake_case:   Any  					=		[(i, key) for i, key in enumerate(lowercase__						) if key is not None]
												_snake_case:   str  					=		[x[0] for x in sorted(lowercase__				,  key=lambda lowercase__						: x[1]						)]

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

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

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





def       lowercase_      (		lowercase__=True						)   ->Union[str, Any]:
						_snake_case:   Any  					=		[]
						for root, _, files in os.walk(lowercase__						):
												if "__init__.py" in files:
																		_snake_case:   Tuple  					=		sort_imports(os.path.join(lowercase__				,  '__init__.py'						)				,  check_only=lowercase__						)
																		if result:
																								_snake_case:   Tuple  					=		[os.path.join(lowercase__				,  '__init__.py'						)]
						if len(lowercase__						) > 0:
												raise ValueError(F'''Would overwrite {len(lowercase__						)} files, run `make style`.'''						)


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

		sort_imports_in_all_inits(check_only=args.check_only)












'''simple docstring'''






import unittest
from pathlib import Path
from tempfile import TemporaryDirectory

from transformers import AutoConfig, TFAutoModel, is_tensorflow_text_available, is_tf_available
from transformers.models.bert.tokenization_bert import BertTokenizer
from transformers.testing_utils import require_tensorflow_text, require_tf, slow


if is_tf_available():
		import tensorflow as tf

if is_tensorflow_text_available():
		from transformers.models.bert import TFBertTokenizer


A   : Tuple             =			['bert-base-uncased', 'bert-base-cased']
A   : str             =			'hf-internal-testing/tiny-bert-tf-only'

if is_tf_available():







		class 			lowerCamelCase					(						tf.keras.Model  ):


							def __init__(					self	:  Union[str, Any]       ,     __snake_case	:  List[Any]       ):





													'''simple docstring'''





													super().__init__()
													_snake_case:   List[Any]  					=		tokenizer
													_snake_case:   str  					=		AutoConfig.from_pretrained(__snake_case       )
													_snake_case:   List[Any]  					=		TFAutoModel.from_config(__snake_case       )




							def    SCREAMING_SNAKE_CASE_		(					self	:  str       ,     __snake_case	:  List[str]       ):





													'''simple docstring'''





													_snake_case:   Optional[int]  					=		self.tokenizer(__snake_case       )
													_snake_case:   Tuple  					=		self.bert(**__snake_case       )
													return out["pooler_output"]







@require_tf
@require_tensorflow_text
class 			lowerCamelCase					(						unittest.TestCase  ):


					def    SCREAMING_SNAKE_CASE_		(					self	:  Tuple       ):





											'''simple docstring'''





											super().setUp()

											_snake_case:   List[Any]  					=		[
											    BertTokenizer.from_pretrained(__snake_case       ) for checkpoint in (TOKENIZER_CHECKPOINTS * 2)
											]  # repeat for when fast_bert_tokenizer=false
											_snake_case:   List[Any]  					=		[TFBertTokenizer.from_pretrained(__snake_case       ) for checkpoint in TOKENIZER_CHECKPOINTS] + [
											    TFBertTokenizer.from_pretrained(__snake_case       ,     use_fast_bert_tokenizer=__snake_case       )
											    for checkpoint in TOKENIZER_CHECKPOINTS
											]
											assert len(self.tokenizers       ) == len(self.tf_tokenizers       )

											_snake_case:   int  					=		[
											    'This is a straightforward English test sentence.',
											    'This one has some weird characters\rto\nsee\r\nif  those\u00E9break things.',
											    'Now we\'re going to add some Chinese: 一 二 三 一二三',
											    'And some much more rare Chinese: 齉 堃 齉堃',
											    'Je vais aussi écrire en français pour tester les accents',
											    'Classical Irish also has some unusual characters, so in they go: Gaelaċ, ꝼ',
											]
											_snake_case:   str  					=		list(zip(self.test_sentences       ,     self.test_sentences[::-1]       )       )


					def    SCREAMING_SNAKE_CASE_		(					self	:  Union[str, Any]       ):





											'''simple docstring'''





											for tokenizer, tf_tokenizer in zip(self.tokenizers       ,     self.tf_tokenizers       ):
																	for test_inputs in (self.test_sentences, self.paired_sentences):
																							_snake_case:   List[Any]  					=		tokenizer(__snake_case       ,     return_tensors='tf'       ,     padding='longest'       )
																							_snake_case:   Optional[Any]  					=		tf_tokenizer(__snake_case       )

																							for key in python_outputs.keys():
																													self.assertTrue(tf.reduce_all(python_outputs[key].shape == tf_outputs[key].shape       )       )
																													self.assertTrue(tf.reduce_all(tf.cast(python_outputs[key]       ,     tf.intaa       ) == tf_outputs[key]       )       )


					@slow
					def    SCREAMING_SNAKE_CASE_		(					self	:  int       ):





											'''simple docstring'''





											for tf_tokenizer in self.tf_tokenizers:
																	_snake_case:   str  					=		tf_tokenizer(self.paired_sentences       )
																	_snake_case:   Any  					=		tf_tokenizer(
																	    text=[sentence[0] for sentence in self.paired_sentences]       ,     text_pair=[sentence[1] for sentence in self.paired_sentences]       ,     )
																	for key in merged_outputs.keys():
																							self.assertTrue(tf.reduce_all(tf.cast(merged_outputs[key]       ,     tf.intaa       ) == separated_outputs[key]       )       )


					@slow
					def    SCREAMING_SNAKE_CASE_		(					self	:  Tuple       ):





											'''simple docstring'''





											for tf_tokenizer in self.tf_tokenizers:
																	_snake_case:   List[str]  					=		tf.function(__snake_case       )
																	for test_inputs in (self.test_sentences, self.paired_sentences):
																							_snake_case:   Union[str, Any]  					=		tf.constant(__snake_case       )
																							_snake_case:   Any  					=		compiled_tokenizer(__snake_case       )
																							_snake_case:   Union[str, Any]  					=		tf_tokenizer(__snake_case       )

																							for key in eager_outputs.keys():
																													self.assertTrue(tf.reduce_all(eager_outputs[key] == compiled_outputs[key]       )       )




					@slow
					def    SCREAMING_SNAKE_CASE_		(					self	:  List[str]       ):





											'''simple docstring'''





											for tf_tokenizer in self.tf_tokenizers:
																	_snake_case:   Optional[Any]  					=		ModelToSave(tokenizer=__snake_case       )
																	_snake_case:   Tuple  					=		tf.convert_to_tensor(self.test_sentences       )
																	_snake_case:   List[str]  					=		model(__snake_case       )  # Build model with some sample inputs
																	with TemporaryDirectory() as tempdir:
																							_snake_case:   List[str]  					=		Path(__snake_case       ) / 'saved.model'
																							model.save(__snake_case       )
																							_snake_case:   int  					=		tf.keras.models.load_model(__snake_case       )
																	_snake_case:   int  					=		loaded_model(__snake_case       )
																	# We may see small differences because the loaded model is compiled, so we need an epsilon for the test
																	self.assertLessEqual(tf.reduce_max(tf.abs(out - loaded_output       )       )       ,     1e-5       )





