


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
__snake_case            =   "src/diffusers"
__snake_case            =   "."


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






def 							_lowercase    (		SCREAMING_SNAKE_CASE_   :		Dict       ,  SCREAMING_SNAKE_CASE_   :		int	):





			"""simple docstring"""




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






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





			"""simple docstring"""




			UpperCamelCase         =					object_name.split("""."""	)
			UpperCamelCase         =					0

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

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

			# Now let's find the class / func in the code!
			UpperCamelCase         =					''
			UpperCamelCase         =					0
			for name in parts[i + 1 :]:
						while (
						    line_index < len(lowerCamelCase_	) 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(lowerCamelCase_	):
						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).
			UpperCamelCase         =					line_index
			while line_index < len(lowerCamelCase_	) and _should_continue(lines[line_index]       ,  lowerCamelCase_	):
						line_index += 1
			# Clean up empty lines at the end (if any).
			while len(lines[line_index - 1]	) <= 1:
						line_index -= 1

			UpperCamelCase         =					lines[start_index:line_index]
			return "".join(lowerCamelCase_	)


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






def 							_lowercase    (		SCREAMING_SNAKE_CASE_   :		Any	):





			"""simple docstring"""




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






def 							_lowercase    (		SCREAMING_SNAKE_CASE_   :		Optional[int]	):





			"""simple docstring"""




			UpperCamelCase         =					len(get_indent(lowerCamelCase_	)	) > 0
			if has_indent:
						UpperCamelCase         =					f'class Bla:\n{code}'
			UpperCamelCase         =					black.Mode(target_versions={black.TargetVersion.PYaa}       ,  line_length=119       ,  preview=lowerCamelCase_	)
			UpperCamelCase         =					black.format_str(lowerCamelCase_       ,  mode=lowerCamelCase_	)
			UpperCamelCase         =					style_docstrings_in_code(lowerCamelCase_	)
			return result[len("""class Bla:\n"""	) :] if has_indent else result






def 							_lowercase    (		SCREAMING_SNAKE_CASE_   :		Dict       ,  SCREAMING_SNAKE_CASE_   :		Dict=False	):





			"""simple docstring"""




			with open(lowerCamelCase_       ,  """r"""       ,  encoding="""utf-8"""       ,  newline="""\n"""	) as f:
						UpperCamelCase         =					f.readlines()
			UpperCamelCase         =					[]
			UpperCamelCase         =					0
			# Not a for loop cause `lines` is going to change (if `overwrite=True`).
			while line_index < len(lowerCamelCase_	):
						UpperCamelCase         =					_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.
						UpperCamelCase         =					search.groups()
						UpperCamelCase         =					find_code_in_diffusers(lowerCamelCase_	)
						UpperCamelCase         =					get_indent(lowerCamelCase_	)

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

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

						UpperCamelCase         =					lines[start_index:line_index]
						UpperCamelCase         =					''.join(lowerCamelCase_	)

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

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

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

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






def 							_lowercase    (		SCREAMING_SNAKE_CASE_   :		str = False	):





			"""simple docstring"""




			UpperCamelCase         =					glob.glob(os.path.join(lowerCamelCase_       ,  """**/*.py"""	)       ,  recursive=lowerCamelCase_	)
			UpperCamelCase         =					[]
			for filename in all_files:
						UpperCamelCase         =					is_copy_consistent(lowerCamelCase_       ,  lowerCamelCase_	)
						diffs += [f'- {filename}: copy does not match {d[0]} at line {d[1]}' for d in new_diffs]
			if not overwrite and len(lowerCamelCase_	) > 0:
						UpperCamelCase         =					'\n'.join(lowerCamelCase_	)
						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__":
			__snake_case            =   argparse.ArgumentParser()
			parser.add_argument("--fix_and_overwrite", action="store_true", help="Whether to fix inconsistencies.")
			__snake_case            =   parser.parse_args()

			check_copies(args.fix_and_overwrite)








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

from tokenizers import processors

from ...tokenization_utils import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
			from .tokenization_mbart import MBartTokenizer
else:
			__snake_case            =   None


__snake_case            =   logging.get_logger(__name__)


__snake_case            =   {"vocab_file": "sentencepiece.bpe.model", "tokenizer_file": "tokenizer.json"}

__snake_case            =   {
    "vocab_file": {
        "facebook/mbart-large-en-ro": (
            "https://huggingface.co/facebook/mbart-large-en-ro/resolve/main/sentencepiece.bpe.model"
        ),
        "facebook/mbart-large-cc25": (
            "https://huggingface.co/facebook/mbart-large-cc25/resolve/main/sentencepiece.bpe.model"
        ),
    },
    "tokenizer_file": {
        "facebook/mbart-large-en-ro": "https://huggingface.co/facebook/mbart-large-en-ro/resolve/main/tokenizer.json",
        "facebook/mbart-large-cc25": "https://huggingface.co/facebook/mbart-large-cc25/resolve/main/tokenizer.json",
    },
}

__snake_case            =   {
    "facebook/mbart-large-en-ro": 1_024,
    "facebook/mbart-large-cc25": 1_024,
}

# fmt: off
__snake_case            =   ["ar_AR", "cs_CZ", "de_DE", "en_XX", "es_XX", "et_EE", "fi_FI", "fr_XX", "gu_IN", "hi_IN", "it_IT", "ja_XX", "kk_KZ", "ko_KR", "lt_LT", "lv_LV", "my_MM", "ne_NP", "nl_XX", "ro_RO", "ru_RU", "si_LK", "tr_TR", "vi_VN", "zh_CN"]




class    UpperCAmelCase					(       __snake_case    ):
			lowercase						= VOCAB_FILES_NAMES
			lowercase						= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			lowercase						= PRETRAINED_VOCAB_FILES_MAP
			lowercase						= ["""input_ids""", """attention_mask"""]
			lowercase						= MBartTokenizer

			lowercase						= []
			lowercase						= []




			def __init__(						self							:		Optional[int]       ,       __magic_name__							:		str=None       ,       __magic_name__							:		Optional[int]=None       ,       __magic_name__							:		Dict="<s>"       ,       __magic_name__							:		Union[str, Any]="</s>"       ,       __magic_name__							:		List[str]="</s>"       ,       __magic_name__							:		Optional[int]="<s>"       ,       __magic_name__							:		int="<unk>"       ,       __magic_name__							:		str="<pad>"       ,       __magic_name__							:		List[str]="<mask>"       ,       __magic_name__							:		Tuple=None       ,       __magic_name__							:		Dict=None       ,       __magic_name__							:		Dict=None       ,       **__magic_name__							:		Tuple       ,       ):







						"""simple docstring"""







						UpperCamelCase         =					AddedToken(__magic_name__       ,       lstrip=__magic_name__       ,       rstrip=__magic_name__						) if isinstance(__magic_name__       ,       __magic_name__						) else mask_token

						super().__init__(
						    vocab_file=__magic_name__       ,       tokenizer_file=__magic_name__       ,       bos_token=__magic_name__       ,       eos_token=__magic_name__       ,       sep_token=__magic_name__       ,       cls_token=__magic_name__       ,       unk_token=__magic_name__       ,       pad_token=__magic_name__       ,       mask_token=__magic_name__       ,       src_lang=__magic_name__       ,       tgt_lang=__magic_name__       ,       additional_special_tokens=__magic_name__       ,       **__magic_name__       ,       )

						UpperCamelCase         =					vocab_file
						UpperCamelCase         =					False if not self.vocab_file else True

						UpperCamelCase         =					FAIRSEQ_LANGUAGE_CODES.copy()

						if additional_special_tokens is not None:
									# Only add those special tokens if they are not already there.
									_additional_special_tokens.extend(
									    [t for t in additional_special_tokens if t not in _additional_special_tokens]						)

						self.add_special_tokens({"""additional_special_tokens""": _additional_special_tokens}						)
						UpperCamelCase         =					{
						    lang_code: self.convert_tokens_to_ids(__magic_name__						) for lang_code in FAIRSEQ_LANGUAGE_CODES
						}

						UpperCamelCase         =					src_lang if src_lang is not None else """en_XX"""
						UpperCamelCase         =					self.convert_tokens_to_ids(self._src_lang						)
						UpperCamelCase         =					tgt_lang
						self.set_src_lang_special_tokens(self._src_lang						)




			@property
			def   lowerCamelCase_					(						self							:		int						):







						"""simple docstring"""







						return self._src_lang




			@src_lang.setter
			def   lowerCamelCase_					(						self							:		List[str]       ,       __magic_name__							:		str						):







						"""simple docstring"""







						UpperCamelCase         =					new_src_lang
						self.set_src_lang_special_tokens(self._src_lang						)




			def   lowerCamelCase_					(						self							:		Optional[Any]       ,       __magic_name__							:		List[int]       ,       __magic_name__							:		Optional[List[int]] = None						):







						"""simple docstring"""







						if token_ids_a is None:
									return self.prefix_tokens + token_ids_a + self.suffix_tokens
						# We don't expect to process pairs, but leave the pair logic for API consistency
						return self.prefix_tokens + token_ids_a + token_ids_a + self.suffix_tokens




			def   lowerCamelCase_					(						self							:		int       ,       __magic_name__							:		List[int]       ,       __magic_name__							:		Optional[List[int]] = None						):







						"""simple docstring"""







						UpperCamelCase         =					[self.sep_token_id]
						UpperCamelCase         =					[self.cls_token_id]

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




			def   lowerCamelCase_					(						self							:		int       ,       __magic_name__							:		List[Any]       ,       __magic_name__							:		str       ,       __magic_name__							:		Optional[str]       ,       __magic_name__							:		Optional[str]       ,       **__magic_name__							:		Tuple						):







						"""simple docstring"""







						if src_lang is None or tgt_lang is None:
									raise ValueError("""Translation requires a `src_lang` and a `tgt_lang` for this model"""						)
						UpperCamelCase         =					src_lang
						UpperCamelCase         =					self(__magic_name__       ,       add_special_tokens=__magic_name__       ,       return_tensors=__magic_name__       ,       **__magic_name__						)
						UpperCamelCase         =					self.convert_tokens_to_ids(__magic_name__						)
						UpperCamelCase         =					tgt_lang_id
						return inputs




			def   lowerCamelCase_					(						self							:		Dict       ,       __magic_name__							:		List[str]       ,       __magic_name__							:		str = "en_XX"       ,       __magic_name__							:		Optional[List[str]] = None       ,       __magic_name__							:		str = "ro_RO"       ,       **__magic_name__							:		int       ,       ):







						"""simple docstring"""







						UpperCamelCase         =					src_lang
						UpperCamelCase         =					tgt_lang
						return super().prepare_seqaseq_batch(__magic_name__       ,       __magic_name__       ,       **__magic_name__						)




			def   lowerCamelCase_					(						self							:		Dict						):







						"""simple docstring"""







						return self.set_src_lang_special_tokens(self.src_lang						)




			def   lowerCamelCase_					(						self							:		Any						):







						"""simple docstring"""







						return self.set_tgt_lang_special_tokens(self.tgt_lang						)




			def   lowerCamelCase_					(						self							:		int       ,       __magic_name__							:		Union[str, Any]						):







						"""simple docstring"""







						UpperCamelCase         =					self.convert_tokens_to_ids(__magic_name__						)
						UpperCamelCase         =					[]
						UpperCamelCase         =					[self.eos_token_id, self.cur_lang_code]

						UpperCamelCase         =					self.convert_ids_to_tokens(self.prefix_tokens						)
						UpperCamelCase         =					self.convert_ids_to_tokens(self.suffix_tokens						)

						UpperCamelCase         =					processors.TemplateProcessing(
						    single=prefix_tokens_str + ["""$A"""] + suffix_tokens_str       ,       pair=prefix_tokens_str + ["""$A""", """$B"""] + suffix_tokens_str       ,       special_tokens=list(zip(prefix_tokens_str + suffix_tokens_str       ,       self.prefix_tokens + self.suffix_tokens						)						)       ,       )




			def   lowerCamelCase_					(						self							:		Tuple       ,       __magic_name__							:		str						):







						"""simple docstring"""







						UpperCamelCase         =					self.convert_tokens_to_ids(__magic_name__						)
						UpperCamelCase         =					[]
						UpperCamelCase         =					[self.eos_token_id, self.cur_lang_code]

						UpperCamelCase         =					self.convert_ids_to_tokens(self.prefix_tokens						)
						UpperCamelCase         =					self.convert_ids_to_tokens(self.suffix_tokens						)

						UpperCamelCase         =					processors.TemplateProcessing(
						    single=prefix_tokens_str + ["""$A"""] + suffix_tokens_str       ,       pair=prefix_tokens_str + ["""$A""", """$B"""] + suffix_tokens_str       ,       special_tokens=list(zip(prefix_tokens_str + suffix_tokens_str       ,       self.prefix_tokens + self.suffix_tokens						)						)       ,       )





			def   lowerCamelCase_					(						self							:		Any       ,       __magic_name__							:		str       ,       __magic_name__							:		Optional[str] = None						):







						"""simple docstring"""







						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(__magic_name__						):
									logger.error(F'Vocabulary path ({save_directory}) should be a directory.'						)
									return
						UpperCamelCase         =					os.path.join(
						    __magic_name__       ,       (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]						)

						if os.path.abspath(self.vocab_file						) != os.path.abspath(__magic_name__						):
									copyfile(self.vocab_file       ,       __magic_name__						)

						return (out_vocab_file,)




