


import itertools
import json
import os
import unittest

from transformers import AddedToken, LongformerTokenizer, LongformerTokenizerFast
from transformers.models.longformer.tokenization_longformer import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin

@require_tokenizers
class        a	(_lowerCAmelCase  ,       unittest.TestCase   ):




							"""simple docstring"""


							__UpperCAmelCase					:							Optional[int]  						=						LongformerTokenizer
							__UpperCAmelCase					:							int  						=						True
							__UpperCAmelCase					:							Optional[Any]  						=						LongformerTokenizerFast
							__UpperCAmelCase					:							Dict  						=						True

							def 					__snake_case      (							self :						Optional[int]       )			->					Union[str, Any]:
														super().setUp()

														# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
														__snake_case	:    Union[str, Any]											=     [
														    "l",
														    "o",
														    "w",
														    "e",
														    "r",
														    "s",
														    "t",
														    "i",
														    "d",
														    "n",
														    "\u0120",
														    "\u0120l",
														    "\u0120n",
														    "\u0120lo",
														    "\u0120low",
														    "er",
														    "\u0120lowest",
														    "\u0120newer",
														    "\u0120wider",
														    "<unk>",
														]
														__snake_case	:    List[Any]											=     dict(zip(lowerCamelCase					,			range(len(lowerCamelCase       )       )       )       )
														__snake_case	:    Tuple											=     ["#version: 0.2", "\u0120 l", "\u0120l o", "\u0120lo w", "e r", ""]
														__snake_case	:    Optional[Any]											=     {"unk_token": "<unk>"}

														__snake_case	:    Optional[int]											=     os.path.join(self.tmpdirname					,			VOCAB_FILES_NAMES["vocab_file"]       )
														__snake_case	:    List[Any]											=     os.path.join(self.tmpdirname					,			VOCAB_FILES_NAMES["merges_file"]       )
														with open(self.vocab_file					,			"w"					,			encoding="utf-8"       ) as fp:
																					fp.write(json.dumps(lowerCamelCase       ) + "\n"       )
														with open(self.merges_file					,			"w"					,			encoding="utf-8"       ) as fp:
																					fp.write("\n".join(lowerCamelCase       )       )

							def 					__snake_case      (							self :						Union[str, Any]					,			**lowerCamelCase :						List[Any]       )			->					Tuple:
														kwargs.update(self.special_tokens_map       )
														return self.tokenizer_class.from_pretrained(self.tmpdirname					,			**lowerCamelCase       )

							def 					__snake_case      (							self :						Any					,			**lowerCamelCase :						Dict       )			->					Any:
														kwargs.update(self.special_tokens_map       )
														return self.rust_tokenizer_class.from_pretrained(self.tmpdirname					,			**lowerCamelCase       )

							def 					__snake_case      (							self :						List[Any]					,			lowerCamelCase :						Optional[int]       )			->					str:
														__snake_case	:    Union[str, Any]											=     "lower newer"
														__snake_case	:    Optional[int]											=     "lower newer"
														return input_text, output_text

							def 					__snake_case      (							self :						Dict       )			->					Union[str, Any]:
														__snake_case	:    Optional[int]											=     self.tokenizer_class(self.vocab_file					,			self.merges_file					,			**self.special_tokens_map       )
														__snake_case	:    int											=     "lower newer"
														__snake_case	:    int											=     ["l", "o", "w", "er", "\u0120", "n", "e", "w", "er"]
														__snake_case	:    Any											=     tokenizer.tokenize(lowerCamelCase       )  # , add_prefix_space=True)
														self.assertListEqual(lowerCamelCase					,			lowerCamelCase       )

														__snake_case	:    Tuple											=     tokens + [tokenizer.unk_token]
														__snake_case	:    Union[str, Any]											=     [0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
														self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase       )					,			lowerCamelCase       )

							def 					__snake_case      (							self :						Optional[int]       )			->					List[Any]:
														__snake_case	:    Any											=     self.get_tokenizer()

														self.assertListEqual(tokenizer.encode("Hello world!"					,			add_special_tokens=lowerCamelCase       )					,			[0, 31414, 232, 328, 2]       )
														self.assertListEqual(
														    tokenizer.encode("Hello world! cécé herlolip 418"					,			add_special_tokens=lowerCamelCase       )					,			[0, 31414, 232, 328, 740, 1140, 12695, 69, 46078, 1588, 2]					,			)

							@slow
							def 					__snake_case      (							self :						int       )			->					int:
														__snake_case	:    Optional[Any]											=     self.tokenizer_class.from_pretrained("allenai/longformer-base-4096"       )

														__snake_case	:    Optional[Any]											=     tokenizer.encode("sequence builders"					,			add_special_tokens=lowerCamelCase       )
														__snake_case	:    Optional[int]											=     tokenizer.encode("multi-sequence build"					,			add_special_tokens=lowerCamelCase       )

														__snake_case	:    str											=     tokenizer.encode(
														    "sequence builders"					,			add_special_tokens=lowerCamelCase					,			add_prefix_space=lowerCamelCase       )
														__snake_case	:    Optional[int]											=     tokenizer.encode(
														    "sequence builders"					,			"multi-sequence build"					,			add_special_tokens=lowerCamelCase					,			add_prefix_space=lowerCamelCase       )

														__snake_case	:    Union[str, Any]											=     tokenizer.build_inputs_with_special_tokens(lowerCamelCase       )
														__snake_case	:    List[Any]											=     tokenizer.build_inputs_with_special_tokens(lowerCamelCase					,			lowerCamelCase       )

														assert encoded_sentence == encoded_text_from_decode
														assert encoded_pair == encoded_pair_from_decode

							def 					__snake_case      (							self :						Any       )			->					str:
														__snake_case	:    List[Any]											=     self.get_tokenizer()

														__snake_case	:    Any											=     "Encode this sequence."
														__snake_case	:    int											=     tokenizer.byte_encoder[" ".encode("utf-8"       )[0]]

														# Testing encoder arguments
														__snake_case	:    Tuple											=     tokenizer.encode(lowerCamelCase					,			add_special_tokens=lowerCamelCase					,			add_prefix_space=lowerCamelCase       )
														__snake_case	:    int											=     tokenizer.convert_ids_to_tokens(encoded[0]       )[0]
														self.assertNotEqual(lowerCamelCase					,			lowerCamelCase       )

														__snake_case	:    Optional[Any]											=     tokenizer.encode(lowerCamelCase					,			add_special_tokens=lowerCamelCase					,			add_prefix_space=lowerCamelCase       )
														__snake_case	:    Optional[Any]											=     tokenizer.convert_ids_to_tokens(encoded[0]       )[0]
														self.assertEqual(lowerCamelCase					,			lowerCamelCase       )

														tokenizer.add_special_tokens({"bos_token": "<s>"}       )
														__snake_case	:    Optional[Any]											=     tokenizer.encode(lowerCamelCase					,			add_special_tokens=lowerCamelCase       )
														__snake_case	:    str											=     tokenizer.convert_ids_to_tokens(encoded[1]       )[0]
														self.assertNotEqual(lowerCamelCase					,			lowerCamelCase       )

														# Testing spaces after special tokens
														__snake_case	:    Optional[int]											=     "<mask>"
														tokenizer.add_special_tokens(
														    {"mask_token": AddedToken(lowerCamelCase					,			lstrip=lowerCamelCase					,			rstrip=lowerCamelCase       )}       )  # mask token has a left space
														__snake_case	:    List[Any]											=     tokenizer.convert_tokens_to_ids(lowerCamelCase       )

														__snake_case	:    Optional[Any]											=     "Encode <mask> sequence"
														__snake_case	:    Union[str, Any]											=     "Encode <mask>sequence"

														__snake_case	:    List[Any]											=     tokenizer.encode(lowerCamelCase       )
														__snake_case	:    Optional[int]											=     encoded.index(lowerCamelCase       )
														__snake_case	:    List[Any]											=     tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]       )[0]
														self.assertEqual(lowerCamelCase					,			lowerCamelCase       )

														__snake_case	:    List[str]											=     tokenizer.encode(lowerCamelCase       )
														__snake_case	:    Any											=     encoded.index(lowerCamelCase       )
														__snake_case	:    Dict											=     tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]       )[0]
														self.assertNotEqual(lowerCamelCase					,			lowerCamelCase       )

							def 					__snake_case      (							self :						Any       )			->					int:
														pass

							def 					__snake_case      (							self :						Optional[Any]       )			->					Optional[Any]:
														for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																					with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'       ):
																												__snake_case	:    Tuple											=     self.rust_tokenizer_class.from_pretrained(lowerCamelCase					,			**lowerCamelCase       )
																												__snake_case	:    Dict											=     self.tokenizer_class.from_pretrained(lowerCamelCase					,			**lowerCamelCase       )
																												__snake_case	:    Tuple											=     "A, <mask> AllenNLP sentence."
																												__snake_case	:    Optional[int]											=     tokenizer_r.encode_plus(lowerCamelCase					,			add_special_tokens=lowerCamelCase					,			return_token_type_ids=lowerCamelCase       )
																												__snake_case	:    List[Any]											=     tokenizer_p.encode_plus(lowerCamelCase					,			add_special_tokens=lowerCamelCase					,			return_token_type_ids=lowerCamelCase       )

																												# token_type_ids should put 0 everywhere
																												self.assertEqual(sum(tokens_r["token_type_ids"]       )					,			sum(tokens_p["token_type_ids"]       )       )

																												# attention_mask should put 1 everywhere, so sum over length should be 1
																												self.assertEqual(
																												    sum(tokens_r["attention_mask"]       ) / len(tokens_r["attention_mask"]       )					,			sum(tokens_p["attention_mask"]       ) / len(tokens_p["attention_mask"]       )					,			)

																												__snake_case	:    Union[str, Any]											=     tokenizer_r.convert_ids_to_tokens(tokens_r["input_ids"]       )
																												__snake_case	:    Any											=     tokenizer_p.convert_ids_to_tokens(tokens_p["input_ids"]       )

																												# Rust correctly handles the space before the mask while python doesnt
																												self.assertSequenceEqual(tokens_p["input_ids"]					,			[0, 250, 6, 50264, 3823, 487, 21992, 3645, 4, 2]       )
																												self.assertSequenceEqual(tokens_r["input_ids"]					,			[0, 250, 6, 50264, 3823, 487, 21992, 3645, 4, 2]       )

																												self.assertSequenceEqual(
																												    lowerCamelCase					,			["<s>", "A", ",", "<mask>", "ĠAllen", "N", "LP", "Ġsentence", ".", "</s>"]       )
																												self.assertSequenceEqual(
																												    lowerCamelCase					,			["<s>", "A", ",", "<mask>", "ĠAllen", "N", "LP", "Ġsentence", ".", "</s>"]       )

							def 					__snake_case      (							self :						Tuple       )			->					List[Any]:
														for trim_offsets, add_prefix_space in itertools.product([True, False]					,			repeat=2       ):
																					__snake_case	:    Any											=     self.rust_tokenizer_class.from_pretrained(
																					    self.tmpdirname					,			use_fast=lowerCamelCase					,			add_prefix_space=lowerCamelCase					,			trim_offsets=lowerCamelCase       )

																					__snake_case	:    Optional[int]											=     json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()       )
																					__snake_case	:    Any											=     json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__()       )

																					self.assertEqual(pre_tokenizer_state["add_prefix_space"]					,			lowerCamelCase       )

																					self.assertEqual(post_processor_state["add_prefix_space"]					,			lowerCamelCase       )
																					self.assertEqual(post_processor_state["trim_offsets"]					,			lowerCamelCase       )






							def 					__snake_case      (							self :						str       )			->					Tuple:
														# Test which aims to verify that the offsets are well adapted to the argument `add_prefix_space` and
														# `trim_offsets`
														for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																					with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'       ):
																												__snake_case	:    Tuple											=     "hello"  # `hello` is a token in the vocabulary of `pretrained_name`
																												__snake_case	:    Tuple											=     F'{text_of_1_token} {text_of_1_token}'

																												__snake_case	:    List[Any]											=     self.rust_tokenizer_class.from_pretrained(
																												    lowerCamelCase					,			use_fast=lowerCamelCase					,			add_prefix_space=lowerCamelCase					,			trim_offsets=lowerCamelCase       )
																												__snake_case	:    Any											=     tokenizer_r(lowerCamelCase					,			return_offsets_mapping=lowerCamelCase					,			add_special_tokens=lowerCamelCase       )
																												self.assertEqual(encoding.offset_mapping[0]					,			(0, len(lowerCamelCase       ))       )
																												self.assertEqual(
																												    encoding.offset_mapping[1]					,			(len(lowerCamelCase       ) + 1, len(lowerCamelCase       ) + 1 + len(lowerCamelCase       ))					,			)

																												__snake_case	:    Any											=     self.rust_tokenizer_class.from_pretrained(
																												    lowerCamelCase					,			use_fast=lowerCamelCase					,			add_prefix_space=lowerCamelCase					,			trim_offsets=lowerCamelCase       )
																												__snake_case	:    Dict											=     tokenizer_r(lowerCamelCase					,			return_offsets_mapping=lowerCamelCase					,			add_special_tokens=lowerCamelCase       )
																												self.assertEqual(encoding.offset_mapping[0]					,			(0, len(lowerCamelCase       ))       )
																												self.assertEqual(
																												    encoding.offset_mapping[1]					,			(len(lowerCamelCase       ) + 1, len(lowerCamelCase       ) + 1 + len(lowerCamelCase       ))					,			)

																												__snake_case	:    Dict											=     self.rust_tokenizer_class.from_pretrained(
																												    lowerCamelCase					,			use_fast=lowerCamelCase					,			add_prefix_space=lowerCamelCase					,			trim_offsets=lowerCamelCase       )
																												__snake_case	:    Union[str, Any]											=     tokenizer_r(lowerCamelCase					,			return_offsets_mapping=lowerCamelCase					,			add_special_tokens=lowerCamelCase       )
																												self.assertEqual(encoding.offset_mapping[0]					,			(0, len(lowerCamelCase       ))       )
																												self.assertEqual(
																												    encoding.offset_mapping[1]					,			(len(lowerCamelCase       ), len(lowerCamelCase       ) + 1 + len(lowerCamelCase       ))					,			)

																												__snake_case	:    List[Any]											=     self.rust_tokenizer_class.from_pretrained(
																												    lowerCamelCase					,			use_fast=lowerCamelCase					,			add_prefix_space=lowerCamelCase					,			trim_offsets=lowerCamelCase       )
																												__snake_case	:    Optional[int]											=     tokenizer_r(lowerCamelCase					,			return_offsets_mapping=lowerCamelCase					,			add_special_tokens=lowerCamelCase       )
																												self.assertEqual(encoding.offset_mapping[0]					,			(0, len(lowerCamelCase       ))       )
																												self.assertEqual(
																												    encoding.offset_mapping[1]					,			(len(lowerCamelCase       ), len(lowerCamelCase       ) + 1 + len(lowerCamelCase       ))					,			)

																												__snake_case	:    Dict											=     F' {text}'

																												# tokenizer_r = self.rust_tokenizer_class.from_pretrained(
																												#     pretrained_name, use_fast=True, add_prefix_space=True, trim_offsets=True
																												# )
																												# encoding = tokenizer_r(text, return_offsets_mapping=True, add_special_tokens=False)
																												# self.assertEqual(encoding.offset_mapping[0], (1, 1 + len(text_of_1_token)))
																												# self.assertEqual(
																												#     encoding.offset_mapping[1],
																												#     (1 + len(text_of_1_token) + 1, 1 + len(text_of_1_token) + 1 + len(text_of_1_token)),
																												# )

																												__snake_case	:    Optional[int]											=     self.rust_tokenizer_class.from_pretrained(
																												    lowerCamelCase					,			use_fast=lowerCamelCase					,			add_prefix_space=lowerCamelCase					,			trim_offsets=lowerCamelCase       )
																												__snake_case	:    Dict											=     tokenizer_r(lowerCamelCase					,			return_offsets_mapping=lowerCamelCase					,			add_special_tokens=lowerCamelCase       )
																												self.assertEqual(encoding.offset_mapping[0]					,			(1, 1 + len(lowerCamelCase       ))       )
																												self.assertEqual(
																												    encoding.offset_mapping[1]					,			(1 + len(lowerCamelCase       ) + 1, 1 + len(lowerCamelCase       ) + 1 + len(lowerCamelCase       ))					,			)

																												__snake_case	:    int											=     self.rust_tokenizer_class.from_pretrained(
																												    lowerCamelCase					,			use_fast=lowerCamelCase					,			add_prefix_space=lowerCamelCase					,			trim_offsets=lowerCamelCase       )
																												__snake_case	:    int											=     tokenizer_r(lowerCamelCase					,			return_offsets_mapping=lowerCamelCase					,			add_special_tokens=lowerCamelCase       )
																												self.assertEqual(encoding.offset_mapping[0]					,			(0, 1 + len(lowerCamelCase       ))       )
																												self.assertEqual(
																												    encoding.offset_mapping[1]					,			(1 + len(lowerCamelCase       ), 1 + len(lowerCamelCase       ) + 1 + len(lowerCamelCase       ))					,			)

																												__snake_case	:    Optional[int]											=     self.rust_tokenizer_class.from_pretrained(
																												    lowerCamelCase					,			use_fast=lowerCamelCase					,			add_prefix_space=lowerCamelCase					,			trim_offsets=lowerCamelCase       )
																												__snake_case	:    Tuple											=     tokenizer_r(lowerCamelCase					,			return_offsets_mapping=lowerCamelCase					,			add_special_tokens=lowerCamelCase       )
																												self.assertEqual(encoding.offset_mapping[0]					,			(0, 1 + len(lowerCamelCase       ))       )
																												self.assertEqual(
																												    encoding.offset_mapping[1]					,			(1 + len(lowerCamelCase       ), 1 + len(lowerCamelCase       ) + 1 + len(lowerCamelCase       ))					,			)





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  :	List[Any]			      =       "src/diffusers"
_snake_case  :	str			      =       "."


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







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







def        lowerCAmelCase_  (      __lowerCamelCase			):
							__snake_case	:    str											=     object_name.split("."			)
							__snake_case	:    Any											=     0

							# First let's find the module where our object lives.
							__snake_case	:    Optional[int]											=     parts[i]
							while i < len(__lowerCamelCase			) and not os.path.isfile(os.path.join(__lowerCamelCase							,			F'{module}.py'			)			):
														i += 1
														if i < len(__lowerCamelCase			):
																					__snake_case	:    Dict											=     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:
														__snake_case	:    Optional[Any]											=     f.readlines()

							# Now let's find the class / func in the code!
							__snake_case	:    Any											=     ""
							__snake_case	:    Any											=     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).
							__snake_case	:    Optional[Any]											=     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

							__snake_case	:    Dict											=     lines[start_index:line_index]
							return "".join(__lowerCamelCase			)


_snake_case  :	Any			      =       re.compile(R"^(\s*)#\s*Copied from\s+diffusers\.(\S+\.\S+)\s*($|\S.*$)")
_snake_case  :	Union[str, Any]			      =       re.compile(R"^\s*(\S+)->(\S+)(\s+.*|$)")
_snake_case  :	Optional[int]			      =       re.compile(R"<FILL\s+[^>]*>")







def        lowerCAmelCase_  (      __lowerCamelCase			):
							__snake_case	:    Dict											=     code.split("\n"			)
							__snake_case	:    List[str]											=     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        lowerCAmelCase_  (      __lowerCamelCase			):
							__snake_case	:    List[str]											=     len(get_indent(__lowerCamelCase			)			) > 0
							if has_indent:
														__snake_case	:    str											=     F'class Bla:\n{code}'
							__snake_case	:    List[Any]											=     black.Mode(target_versions={black.TargetVersion.PYaa}							,			line_length=1_1_9							,			preview=__lowerCamelCase			)
							__snake_case	:    int											=     black.format_str(__lowerCamelCase							,			mode=__lowerCamelCase			)
							__snake_case				,    __snake_case	:    List[str]											=     style_docstrings_in_code(__lowerCamelCase			)
							return result[len("class Bla:\n"			) :] if has_indent else result







def        lowerCAmelCase_  (      __lowerCamelCase							,			__lowerCamelCase=False			):
							with open(__lowerCamelCase							,			"r"							,			encoding="utf-8"							,			newline="\n"			) as f:
														__snake_case	:    List[Any]											=     f.readlines()
							__snake_case	:    int											=     []
							__snake_case	:    Optional[Any]											=     0
							# Not a for loop cause `lines` is going to change (if `overwrite=True`).
							while line_index < len(__lowerCamelCase			):
														__snake_case	:    List[Any]											=     _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.
														__snake_case				,    __snake_case				,    __snake_case	:    List[str]											=     search.groups()
														__snake_case	:    List[str]											=     find_code_in_diffusers(__lowerCamelCase			)
														__snake_case	:    str											=     get_indent(__lowerCamelCase			)

														__snake_case	:    Optional[Any]											=     line_index + 1 if indent == theoretical_indent else line_index + 2
														__snake_case	:    Tuple											=     theoretical_indent
														__snake_case	:    str											=     start_index

														# Loop to check the observed code, stop when indentation diminishes or if we see a End copy comment.
														__snake_case	:    str											=     True
														while line_index < len(__lowerCamelCase			) and should_continue:
																					line_index += 1
																					if line_index >= len(__lowerCamelCase			):
																												break
																					__snake_case	:    Union[str, Any]											=     lines[line_index]
																					__snake_case	:    Any											=     _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

														__snake_case	:    int											=     lines[start_index:line_index]
														__snake_case	:    int											=     "".join(__lowerCamelCase			)

														# Remove any nested `Copied from` comments to avoid circular copies
														__snake_case	:    Union[str, Any]											=     [line for line in theoretical_code.split("\n"			) if _re_copy_warning.search(__lowerCamelCase			) is None]
														__snake_case	:    Optional[Any]											=     "\n".join(__lowerCamelCase			)

														# Before comparing, use the `replace_pattern` on the original code.
														if len(__lowerCamelCase			) > 0:
																					__snake_case	:    Optional[int]											=     replace_pattern.replace("with"							,			""			).split(","			)
																					__snake_case	:    Tuple											=     [_re_replace_pattern.search(__lowerCamelCase			) for p in patterns]
																					for pattern in patterns:
																												if pattern is None:
																																			continue
																												__snake_case				,    __snake_case				,    __snake_case	:    Optional[Any]											=     pattern.groups()
																												__snake_case	:    Tuple											=     re.sub(__lowerCamelCase							,			__lowerCamelCase							,			__lowerCamelCase			)
																												if option.strip() == "all-casing":
																																			__snake_case	:    List[Any]											=     re.sub(obja.lower()							,			obja.lower()							,			__lowerCamelCase			)
																																			__snake_case	:    Union[str, Any]											=     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
																					__snake_case	:    str											=     blackify(lines[start_index - 1] + theoretical_code			)
																					__snake_case	:    Tuple											=     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:
																												__snake_case	:    str											=     lines[:start_index] + [theoretical_code] + lines[line_index:]
																												__snake_case	:    List[Any]											=     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        lowerCAmelCase_  (      __lowerCamelCase = False			):
							__snake_case	:    Optional[Any]											=     glob.glob(os.path.join(__lowerCamelCase							,			"**/*.py"			)							,			recursive=__lowerCamelCase			)
							__snake_case	:    Dict											=     []
							for filename in all_files:
														__snake_case	:    Union[str, Any]											=     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:
														__snake_case	:    Optional[Any]											=     "\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  :	Optional[int]			      =       argparse.ArgumentParser()
			parser.add_argument("--fix_and_overwrite", action="store_true", help="Whether to fix inconsistencies.")
			_snake_case  :	Union[str, Any]			      =       parser.parse_args()

			check_copies(args.fix_and_overwrite)

