


import argparse
import glob
import importlib.util
import os
import re

import black
from doc_builder.style_doc import style_docstrings_in_code


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_copies.py
lowerCAmelCase           =		'''src/diffusers'''
lowerCAmelCase           =		'''.'''


# This is to make sure the diffusers module imported is the one in the repo.
lowerCAmelCase           =		importlib.util.spec_from_file_location(
    '''diffusers''',
    os.path.join(DIFFUSERS_PATH, '''__init__.py'''),
    submodule_search_locations=[DIFFUSERS_PATH],
)
lowerCAmelCase           =		spec.loader.load_module()







def        _lowerCamelCase(	lowercase__   , lowercase__	)						->	Optional[Any]:

		'''simple docstring'''







		return line.startswith(lowercase__	) or len(lowercase__	) <= 1 or re.search(R'^\s*\)(\s*->.*:|:)\s*$'   , lowercase__	) is not None







def        _lowerCamelCase(	lowercase__	)						->	List[str]:

		'''simple docstring'''







		__lowercase=			object_name.split('.'	)
		__lowercase=			0

		# First let's find the module where our object lives.
		__lowercase=			parts[i]
		while i < len(lowercase__	) and not os.path.isfile(os.path.join(lowercase__   , F'{module}.py'	)	):
				i += 1
				if i < len(lowercase__	):
						__lowercase=			os.path.join(lowercase__   , parts[i]	)
		if i >= len(lowercase__	):
				raise ValueError(F'`object_name` should begin with the name of a module of diffusers but got {object_name}.'	)

		with open(os.path.join(lowercase__   , F'{module}.py'	)   , 'r'   , encoding='utf-8'   , newline='\n'	) as f:
				__lowercase=			f.readlines()

		# Now let's find the class / func in the code!
		__lowercase=			''
		__lowercase=			0
		for name in parts[i + 1 :]:
				while (
				    line_index < len(lowercase__	) and re.search(RF'^{indent}(class|def)\s+{name}(\(|\:)'   , lines[line_index]	) is None
				):
						line_index += 1
				indent += "    "
				line_index += 1

		if line_index >= len(lowercase__	):
				raise ValueError(F' {object_name} does not match any function or class in {module}.'	)

		# We found the beginning of the class / func, now let's find the end (when the indent diminishes).
		__lowercase=			line_index
		while line_index < len(lowercase__	) and _should_continue(lines[line_index]   , lowercase__	):
				line_index += 1
		# Clean up empty lines at the end (if any).
		while len(lines[line_index - 1]	) <= 1:
				line_index -= 1

		__lowercase=			lines[start_index:line_index]
		return "".join(lowercase__	)


lowerCAmelCase           =		re.compile(R'''^(\s*)#\s*Copied from\s+diffusers\.(\S+\.\S+)\s*($|\S.*$)''')
lowerCAmelCase           =		re.compile(R'''^\s*(\S+)->(\S+)(\s+.*|$)''')
lowerCAmelCase           =		re.compile(R'''<FILL\s+[^>]*>''')







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

		'''simple docstring'''







		__lowercase=			code.split('\n'	)
		__lowercase=			0
		while idx < len(lowercase__	) and len(lines[idx]	) == 0:
				idx += 1
		if idx < len(lowercase__	):
				return re.search(R'^(\s*)\S'   , lines[idx]	).groups()[0]
		return ""







def        _lowerCamelCase(	lowercase__	)						->	str:

		'''simple docstring'''







		__lowercase=			len(get_indent(lowercase__	)	) > 0
		if has_indent:
				__lowercase=			F'class Bla:\n{code}'
		__lowercase=			black.Mode(target_versions={black.TargetVersion.PYaa}   , line_length=1_1_9   , preview=lowercase__	)
		__lowercase=			black.format_str(lowercase__   , mode=lowercase__	)
		__lowercase,							__lowercase=			style_docstrings_in_code(lowercase__	)
		return result[len('class Bla:\n'	) :] if has_indent else result







def        _lowerCamelCase(	lowercase__   , lowercase__=False	)						->	List[Any]:

		'''simple docstring'''







		with open(lowercase__   , 'r'   , encoding='utf-8'   , newline='\n'	) as f:
				__lowercase=			f.readlines()
		__lowercase=			[]
		__lowercase=			0
		# Not a for loop cause `lines` is going to change (if `overwrite=True`).
		while line_index < len(lowercase__	):
				__lowercase=			_re_copy_warning.search(lines[line_index]	)
				if search is None:
						line_index += 1
						continue

				# There is some copied code here, let's retrieve the original.
				__lowercase,							__lowercase,							__lowercase=			search.groups()
				__lowercase=			find_code_in_diffusers(lowercase__	)
				__lowercase=			get_indent(lowercase__	)

				__lowercase=			line_index + 1 if indent == theoretical_indent else line_index + 2
				__lowercase=			theoretical_indent
				__lowercase=			start_index

				# Loop to check the observed code, stop when indentation diminishes or if we see a End copy comment.
				__lowercase=			True
				while line_index < len(lowercase__	) and should_continue:
						line_index += 1
						if line_index >= len(lowercase__	):
								break
						__lowercase=			lines[line_index]
						__lowercase=			_should_continue(lowercase__   , lowercase__	) and re.search(F'^{indent}# End copy'   , lowercase__	) is None
				# Clean up empty lines at the end (if any).
				while len(lines[line_index - 1]	) <= 1:
						line_index -= 1

				__lowercase=			lines[start_index:line_index]
				__lowercase=			''.join(lowercase__	)

				# Remove any nested `Copied from` comments to avoid circular copies
				__lowercase=			[line for line in theoretical_code.split('\n'	) if _re_copy_warning.search(lowercase__	) is None]
				__lowercase=			'\n'.join(lowercase__	)

				# Before comparing, use the `replace_pattern` on the original code.
				if len(lowercase__	) > 0:
						__lowercase=			replace_pattern.replace('with'   , ''	).split(','	)
						__lowercase=			[_re_replace_pattern.search(lowercase__	) for p in patterns]
						for pattern in patterns:
								if pattern is None:
										continue
								__lowercase,							__lowercase,							__lowercase=			pattern.groups()
								__lowercase=			re.sub(lowercase__   , lowercase__   , lowercase__	)
								if option.strip() == "all-casing":
										__lowercase=			re.sub(obja.lower()   , obja.lower()   , lowercase__	)
										__lowercase=			re.sub(obja.upper()   , obja.upper()   , lowercase__	)

            # Blackify after replacement. To be able to do that, we need the header (class or function definition)
            # from the previous line
						__lowercase=			blackify(lines[start_index - 1] + theoretical_code	)
						__lowercase=			theoretical_code[len(lines[start_index - 1]	) :]

				# Test for a diff and act accordingly.
				if observed_code != theoretical_code:
						diffs.append([object_name, start_index]	)
						if overwrite:
								__lowercase=			lines[:start_index] + [theoretical_code] + lines[line_index:]
								__lowercase=			start_index + 1

		if overwrite and len(lowercase__	) > 0:
				# Warn the user a file has been modified.
				print(F'Detected changes, rewriting {filename}.'	)
				with open(lowercase__   , 'w'   , encoding='utf-8'   , newline='\n'	) as f:
						f.writelines(lowercase__	)
		return diffs







def        _lowerCamelCase(	lowercase__ = False	)						->	Optional[int]:

		'''simple docstring'''







		__lowercase=			glob.glob(os.path.join(lowercase__   , '**/*.py'	)   , recursive=lowercase__	)
		__lowercase=			[]
		for filename in all_files:
				__lowercase=			is_copy_consistent(lowercase__   , lowercase__	)
				diffs += [F'- {filename}: copy does not match {d[0]} at line {d[1]}' for d in new_diffs]
		if not overwrite and len(lowercase__	) > 0:
				__lowercase=			'\n'.join(lowercase__	)
				raise Exception(
				    'Found the following copy inconsistencies:\n'
				    + diff
				    + '\nRun `make fix-copies` or `python utils/check_copies.py --fix_and_overwrite` to fix them.'	)


if __name__ == "__main__":
	lowerCAmelCase           =		argparse.ArgumentParser()
	parser.add_argument('''--fix_and_overwrite''', action='''store_true''', help='''Whether to fix inconsistencies.''')
	lowerCAmelCase           =		parser.parse_args()

	check_copies(args.fix_and_overwrite)










import os
import re
import warnings
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
	from .tokenization_ta import TaTokenizer
else:
	lowerCAmelCase           =		None


lowerCAmelCase           =		logging.get_logger(__name__)

lowerCAmelCase           =		{'''vocab_file''': '''spiece.model''', '''tokenizer_file''': '''tokenizer.json'''}

lowerCAmelCase           =		{
    '''vocab_file''': {
        '''t5-small''': '''https://huggingface.co/t5-small/resolve/main/spiece.model''',
        '''t5-base''': '''https://huggingface.co/t5-base/resolve/main/spiece.model''',
        '''t5-large''': '''https://huggingface.co/t5-large/resolve/main/spiece.model''',
        '''t5-3b''': '''https://huggingface.co/t5-3b/resolve/main/spiece.model''',
        '''t5-11b''': '''https://huggingface.co/t5-11b/resolve/main/spiece.model''',
    },
    '''tokenizer_file''': {
        '''t5-small''': '''https://huggingface.co/t5-small/resolve/main/tokenizer.json''',
        '''t5-base''': '''https://huggingface.co/t5-base/resolve/main/tokenizer.json''',
        '''t5-large''': '''https://huggingface.co/t5-large/resolve/main/tokenizer.json''',
        '''t5-3b''': '''https://huggingface.co/t5-3b/resolve/main/tokenizer.json''',
        '''t5-11b''': '''https://huggingface.co/t5-11b/resolve/main/tokenizer.json''',
    },
}


# TODO(PVP) - this should be removed in Transformers v5
lowerCAmelCase           =		{
    '''t5-small''': 5_1_2,
    '''t5-base''': 5_1_2,
    '''t5-large''': 5_1_2,
    '''t5-3b''': 5_1_2,
    '''t5-11b''': 5_1_2,
}





class       A    (   A_ ):
							UpperCamelCase_   :							Dict       =VOCAB_FILES_NAMES
							UpperCamelCase_   :							Dict       =PRETRAINED_VOCAB_FILES_MAP
							UpperCamelCase_   :							List[Any]       =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							UpperCamelCase_   :							str       =['''input_ids''', '''attention_mask''']
							UpperCamelCase_   :							List[str]       =TaTokenizer

							UpperCamelCase_   :							List[int]       =[]


							def __init__(self      ,				lowerCAmelCase=None      ,				lowerCAmelCase=None      ,				lowerCAmelCase="</s>"      ,				lowerCAmelCase="<unk>"      ,				lowerCAmelCase="<pad>"      ,				lowerCAmelCase=1_0_0      ,				lowerCAmelCase=None      ,				**lowerCAmelCase      ,				):
									# Add extra_ids to the special token list
									if extra_ids > 0 and additional_special_tokens is None:
											__lowercase=			[f'<extra_id_{i}>' for i in range(lowerCAmelCase					)]
									elif extra_ids > 0 and additional_special_tokens is not None:
											# Check that we have the right number of extra special tokens
											__lowercase=			len(set(filter(lambda lowerCAmelCase					: bool('extra_id_' in str(lowerCAmelCase					)					)      ,				lowerCAmelCase					)					)					)
											if extra_tokens != extra_ids:
													raise ValueError(
													    f'Both extra_ids ({extra_ids}) and additional_special_tokens ({additional_special_tokens}) are'
													    ' provided to T5Tokenizer. In this case the additional_special_tokens must include the extra_ids'
													    ' tokens'					)

									super().__init__(
									    lowerCAmelCase      ,				tokenizer_file=lowerCAmelCase      ,				eos_token=lowerCAmelCase      ,				unk_token=lowerCAmelCase      ,				pad_token=lowerCAmelCase      ,				extra_ids=lowerCAmelCase      ,				additional_special_tokens=lowerCAmelCase      ,				**lowerCAmelCase      ,				)

									__lowercase=			vocab_file
									__lowercase=			False if not self.vocab_file else True
									__lowercase=			extra_ids


							@staticmethod
							def 			_A       (lowerCAmelCase      ,				lowerCAmelCase      ,				lowerCAmelCase					):
									if pretrained_model_name_or_path in TaTokenizerFast.max_model_input_sizes:
											__lowercase=			TaTokenizerFast.max_model_input_sizes[pretrained_model_name_or_path]
											if init_max_model_length is not None and init_max_model_length != max_model_length:
													return init_max_model_length
											elif init_max_model_length is None:
													warnings.warn(
													    'This tokenizer was incorrectly instantiated with a model max length of'
													    f' {deprecated_max_model_length} which will be corrected in Transformers v5.\nFor now, this'
													    ' behavior is kept to avoid breaking backwards compatibility when padding/encoding with'
													    ' `truncation is True`.\n- Be aware that you SHOULD NOT rely on'
													    f' {pretrained_model_name_or_path} automatically truncating your input to'
													    f' {deprecated_max_model_length} when padding/encoding.\n- If you want to encode/pad to sequences'
													    f' longer than {deprecated_max_model_length} you can either instantiate this tokenizer with'
													    ' `model_max_length` or pass `max_length` when encoding/padding.\n- To avoid this warning, please'
													    ' instantiate this tokenizer with `model_max_length` set to your preferred value.'      ,				lowerCAmelCase      ,				)

									return max_model_length


							def 			_A       (self      ,				lowerCAmelCase      ,				lowerCAmelCase = None					):
									if not self.can_save_slow_tokenizer:
											raise ValueError(
											    'Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '
											    'tokenizer.'					)

									if not os.path.isdir(lowerCAmelCase					):
											logger.error(f'Vocabulary path ({save_directory}) should be a directory'					)
											return
									__lowercase=			os.path.join(
									    lowerCAmelCase      ,				(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']					)

									if os.path.abspath(self.vocab_file					) != os.path.abspath(lowerCAmelCase					):
											copyfile(self.vocab_file      ,				lowerCAmelCase					)
											logger.info(f'Copy vocab file to {out_vocab_file}'					)

									return (out_vocab_file,)


							def 			_A       (self      ,				lowerCAmelCase      ,				lowerCAmelCase = None					):
									__lowercase=			token_ids_a + [self.eos_token_id]
									if token_ids_a is None:
											return self.prefix_tokens + token_ids_a
									else:
											__lowercase=			token_ids_a + [self.eos_token_id]
											return self.prefix_tokens + token_ids_a + token_ids_a


							def 			_A       (self      ,				lowerCAmelCase      ,				lowerCAmelCase = None					):
									__lowercase=			[self.eos_token_id]

									if token_ids_a is None:
											return len(token_ids_a + eos					) * [0]
									return len(token_ids_a + eos + token_ids_a + eos					) * [0]


							def 			_A       (self					):
									return list(
									    set(filter(lambda lowerCAmelCase					: bool(re.search(r'<extra_id_\d+>'      ,				lowerCAmelCase					)					) is not None      ,				self.additional_special_tokens					)					)					)







							def 			_A       (self					):
									return [self.convert_tokens_to_ids(lowerCAmelCase					) for token in self.get_sentinel_tokens()]






