
'''simple docstring'''
import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, BatchEncoding, MBartaaTokenizer, MBartaaTokenizerFast, is_torch_available
from transformers.testing_utils import (
    get_tests_dir,
    nested_simplify,
    require_sentencepiece,
    require_tokenizers,
    require_torch,
    slow,
)

from ...test_tokenization_common import TokenizerTesterMixin


a_											=						get_tests_dir("fixtures/test_sentencepiece.model")

if is_torch_available():
     from transformers.models.mbart.modeling_mbart import shift_tokens_right

a_											=						25_0004
a_											=						25_0020






@require_sentencepiece
@require_tokenizers
class    UpperCAmelCase_				(	snake_case__    ,						unittest.TestCase					):
 UpperCAmelCase_		    =						MBartaaTokenizer
 UpperCAmelCase_		    =						MBartaaTokenizerFast
 UpperCAmelCase_		    =						True
 UpperCAmelCase_		    =						True





 def        snake_case__		(    self):
     super().setUp()

     # We have a SentencePiece fixture for testing
     snake_case_ :    Dict     			=						MBartaaTokenizer(lowercase_ ,       src_lang="en_XX" ,       tgt_lang="ro_RO" ,       keep_accents=lowercase_)
     tokenizer.save_pretrained(self.tmpdirname)





 def        snake_case__		(    self):
     snake_case_ :    List[str]     			=						"<s>"
     snake_case_ :    Any     			=						0

     self.assertEqual(self.get_tokenizer()._convert_token_to_id(lowercase_) ,       lowercase_)
     self.assertEqual(self.get_tokenizer()._convert_id_to_token(lowercase_) ,       lowercase_)





 def        snake_case__		(    self):
     snake_case_ :    int     			=						list(self.get_tokenizer().get_vocab().keys())

     self.assertEqual(vocab_keys[0] ,       "<s>")
     self.assertEqual(vocab_keys[1] ,       "<pad>")
     self.assertEqual(vocab_keys[-1] ,       "<mask>")
     self.assertEqual(len(lowercase_) ,       10_54)





 def        snake_case__		(    self):
     self.assertEqual(self.get_tokenizer().vocab_size ,       10_54)





 def        snake_case__		(    self):
     snake_case_ :    Any     			=						MBartaaTokenizer(lowercase_ ,       src_lang="en_XX" ,       tgt_lang="ro_RO" ,       keep_accents=lowercase_)

     snake_case_ :    List[str]     			=						tokenizer.tokenize("This is a test")
     self.assertListEqual(lowercase_ ,       ["▁This", "▁is", "▁a", "▁t", "est"])

     self.assertListEqual(
         tokenizer.convert_tokens_to_ids(lowercase_) ,       [value + tokenizer.fairseq_offset for value in [2_85, 46, 10, 1_70, 3_82]] ,       )

     snake_case_ :    List[str]     			=						tokenizer.tokenize("I was born in 92000, and this is falsé.")
     self.assertListEqual(
         lowercase_ ,       [SPIECE_UNDERLINE + "I", SPIECE_UNDERLINE + "was", SPIECE_UNDERLINE + "b", "or", "n", SPIECE_UNDERLINE + "in", SPIECE_UNDERLINE + "", "9", "2", "0", "0", "0", ",", SPIECE_UNDERLINE + "and", SPIECE_UNDERLINE + "this", SPIECE_UNDERLINE + "is", SPIECE_UNDERLINE + "f", "al", "s", "é", "."] ,       )
     snake_case_ :    Tuple     			=						tokenizer.convert_tokens_to_ids(lowercase_)
     self.assertListEqual(
         lowercase_ ,       [
             value + tokenizer.fairseq_offset
             for value in [8, 21, 84, 55, 24, 19, 7, 2, 6_02, 3_47, 3_47, 3_47, 3, 12, 66, 46, 72, 80, 6, 2, 4]
         ] ,       )

     snake_case_ :    List[str]     			=						tokenizer.convert_ids_to_tokens(lowercase_)
     self.assertListEqual(
         lowercase_ ,       [SPIECE_UNDERLINE + "I", SPIECE_UNDERLINE + "was", SPIECE_UNDERLINE + "b", "or", "n", SPIECE_UNDERLINE + "in", SPIECE_UNDERLINE + "", "<unk>", "2", "0", "0", "0", ",", SPIECE_UNDERLINE + "and", SPIECE_UNDERLINE + "this", SPIECE_UNDERLINE + "is", SPIECE_UNDERLINE + "f", "al", "s", "<unk>", "."] ,       )





 @slow
 def        snake_case__		(    self):
     # fmt: off
     snake_case_ :    int     			=						{"input_ids": [[25_00_04, 1_10_62, 8_27_72, 7, 15, 8_27_72, 5_38, 5_15_29, 2_37, 1_71_98, 12_90, 2_06, 9, 21_51_75, 13_14, 1_36, 1_71_98, 12_90, 2_06, 9, 5_63_59, 42, 12_20_09, 9, 1_64_66, 16, 8_73_44, 45_37, 9, 47_17, 7_83_81, 6, 15_99_58, 7, 15, 2_44_80, 6_18, 4, 5_27, 2_26_93, 54_28, 4, 27_77, 2_44_80, 98_74, 4, 4_35_23, 5_94, 4, 8_03, 1_83_92, 3_31_89, 18, 4, 4_35_23, 2_44_47, 1_23_99, 1_00, 2_49_55, 8_36_58, 96_26, 14_40_57, 15, 8_39, 2_23_35, 16, 1_36, 2_49_55, 8_36_58, 8_34_79, 15, 3_91_02, 7_24, 16, 6_78, 6_45, 27_89, 13_28, 45_89, 42, 12_20_09, 11_57_74, 23, 8_05, 13_28, 4_68_76, 7, 1_36, 5_38_94, 19_40, 4_22_27, 4_11_59, 1_77_21, 8_23, 4_25, 4, 2_75_12, 9_87_22, 2_06, 1_36, 55_31, 49_70, 9_19, 1_73_36, 5, 2], [25_00_04, 2_00_80, 6_18, 83, 8_27_75, 47, 4_79, 9, 15_17, 73, 5_38_94, 3_33, 8_05_81, 11_01_17, 1_88_11, 52_56, 12_95, 51, 15_25_26, 2_97, 79_86, 3_90, 12_44_16, 5_38, 3_54_31, 2_14, 98, 1_50_44, 2_57_37, 1_36, 71_08, 4_37_01, 23, 7_56, 13_53_55, 7, 5, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [25_00_04, 5_81, 6_37_73, 11_94_55, 6, 14_77_97, 8_82_03, 7, 6_45, 70, 21, 32_85, 1_02_69, 5, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]], "attention_mask": [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
     # fmt: on

     self.tokenizer_integration_test_util(
         expected_encoding=lowercase_ ,       model_name="facebook/mbart-large-50" ,       revision="d3913889c59cd5c9e456b269c376325eabad57e2" ,       )





 def        snake_case__		(    self):
     if not self.test_slow_tokenizer:
         # as we don't have a slow version, we can't compare the outputs between slow and fast versions
         return

     snake_case_ :    Union[str, Any]     			=						(self.rust_tokenizer_class, "hf-internal-testing/tiny-random-mbart50", {})
     for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
         with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'):
             snake_case_ :    Dict     			=						self.rust_tokenizer_class.from_pretrained(lowercase_ ,       **lowercase_)
             snake_case_ :    Tuple     			=						self.tokenizer_class.from_pretrained(lowercase_ ,       **lowercase_)

             snake_case_ :    List[Any]     			=						tempfile.mkdtemp()

             snake_case_ :    Optional[int]     			=						tokenizer_r.save_pretrained(lowercase_)
             snake_case_ :    Optional[Any]     			=						tokenizer_p.save_pretrained(lowercase_)

             # Checks it save with the same files + the tokenizer.json file for the fast one
             self.assertTrue(any("tokenizer.json" in f for f in tokenizer_r_files))
             snake_case_ :    Any     			=						tuple(f for f in tokenizer_r_files if "tokenizer.json" not in f)
             self.assertSequenceEqual(lowercase_ ,       lowercase_)

             # Checks everything loads correctly in the same way
             snake_case_ :    List[Any]     			=						tokenizer_r.from_pretrained(lowercase_)
             snake_case_ :    str     			=						tokenizer_p.from_pretrained(lowercase_)

             # Check special tokens are set accordingly on Rust and Python
             for key in tokenizer_pp.special_tokens_map:
                 self.assertTrue(hasattr(lowercase_ ,       lowercase_))
                 # self.assertEqual(getattr(tokenizer_rp, key), getattr(tokenizer_pp, key))
                 # self.assertEqual(getattr(tokenizer_rp, key + "_id"), getattr(tokenizer_pp, key + "_id"))

             shutil.rmtree(lowercase_)

             # Save tokenizer rust, legacy_format=True
             snake_case_ :    List[Any]     			=						tempfile.mkdtemp()

             snake_case_ :    List[Any]     			=						tokenizer_r.save_pretrained(lowercase_ ,       legacy_format=lowercase_)
             snake_case_ :    List[Any]     			=						tokenizer_p.save_pretrained(lowercase_)

             # Checks it save with the same files
             self.assertSequenceEqual(lowercase_ ,       lowercase_)

             # Checks everything loads correctly in the same way
             snake_case_ :    List[str]     			=						tokenizer_r.from_pretrained(lowercase_)
             snake_case_ :    Union[str, Any]     			=						tokenizer_p.from_pretrained(lowercase_)

             # Check special tokens are set accordingly on Rust and Python
             for key in tokenizer_pp.special_tokens_map:
                 self.assertTrue(hasattr(lowercase_ ,       lowercase_))

             shutil.rmtree(lowercase_)

             # Save tokenizer rust, legacy_format=False
             snake_case_ :    Union[str, Any]     			=						tempfile.mkdtemp()

             snake_case_ :    Optional[Any]     			=						tokenizer_r.save_pretrained(lowercase_ ,       legacy_format=lowercase_)
             snake_case_ :    List[str]     			=						tokenizer_p.save_pretrained(lowercase_)

             # Checks it saved the tokenizer.json file
             self.assertTrue(any("tokenizer.json" in f for f in tokenizer_r_files))

             # Checks everything loads correctly in the same way
             snake_case_ :    Tuple     			=						tokenizer_r.from_pretrained(lowercase_)
             snake_case_ :    List[str]     			=						tokenizer_p.from_pretrained(lowercase_)

             # Check special tokens are set accordingly on Rust and Python
             for key in tokenizer_pp.special_tokens_map:
                 self.assertTrue(hasattr(lowercase_ ,       lowercase_))

             shutil.rmtree(lowercase_)






@require_torch
@require_sentencepiece
@require_tokenizers
class    UpperCAmelCase_				(	unittest.TestCase					):
 UpperCAmelCase_		    =						"""facebook/mbart-large-50-one-to-many-mmt"""
 UpperCAmelCase_		    =						[
     """ UN Chief Says There Is No Military Solution in Syria""",
     """ Secretary-General Ban Ki-moon says his response to Russia's stepped up military support for Syria is that \"there is no military solution\" to the nearly five-year conflict and more weapons will only worsen the violence and misery for millions of people.""",
 ]
 UpperCAmelCase_		    =						[
     """Şeful ONU declară că nu există o soluţie militară în Siria""",
     """Secretarul General Ban Ki-moon declară că răspunsul său la intensificarea sprijinului militar al Rusiei"""
     """ pentru Siria este că \"nu există o soluţie militară\" la conflictul de aproape cinci ani şi că noi arme nu vor"""
     """ face decât să înrăutăţească violenţele şi mizeria pentru milioane de oameni.""",
 ]
 UpperCAmelCase_		    =						[EN_CODE, 8_2_7_4, 1_2_7_8_7_3, 2_5_9_1_6, 7, 8_6_2_2, 2_0_7_1, 4_3_8, 6_7_4_8_5, 5_3, 1_8_7_8_9_5, 2_3, 5_1_7_1_2, 2]





 @classmethod
 def        snake_case__		(    cls):
     snake_case_ :    MBartaaTokenizer     			=						MBartaaTokenizer.from_pretrained(
         cls.checkpoint_name ,       src_lang="en_XX" ,       tgt_lang="ro_RO")
     snake_case_ :    Dict     			=						1
     return cls





 def        snake_case__		(    self):
     self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["ar_AR"] ,       25_00_01)
     self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["en_EN"] ,       25_00_04)
     self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["ro_RO"] ,       25_00_20)
     self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["mr_IN"] ,       25_00_38)





 def        snake_case__		(    self):
     snake_case_ :    int     			=						self.tokenizer.batch_encode_plus(self.src_text).input_ids[0]
     self.assertListEqual(self.expected_src_tokens ,       lowercase_)





 def        snake_case__		(    self):
     self.assertIn(lowercase_ ,       self.tokenizer.all_special_ids)
     snake_case_ :    List[str]     			=						[RO_CODE, 8_84, 90_19, 96, 9, 9_16, 8_67_92, 36, 1_87_43, 1_55_96, 5, 2]
     snake_case_ :    List[Any]     			=						self.tokenizer.decode(lowercase_ ,       skip_special_tokens=lowercase_)
     snake_case_ :    Optional[Any]     			=						self.tokenizer.decode(generated_ids[1:] ,       skip_special_tokens=lowercase_)
     self.assertEqual(lowercase_ ,       lowercase_)
     self.assertNotIn(self.tokenizer.eos_token ,       lowercase_)





 def        snake_case__		(    self):
     snake_case_ :    Union[str, Any]     			=						["this is gunna be a long sentence " * 20]
     assert isinstance(src_text[0] ,       lowercase_)
     snake_case_ :    str     			=						10
     snake_case_ :    Any     			=						self.tokenizer(lowercase_ ,       max_length=lowercase_ ,       truncation=lowercase_).input_ids[0]
     self.assertEqual(ids[0] ,       lowercase_)
     self.assertEqual(ids[-1] ,       2)
     self.assertEqual(len(lowercase_) ,       lowercase_)





 def        snake_case__		(    self):
     self.assertListEqual(self.tokenizer.convert_tokens_to_ids(["<mask>", "ar_AR"]) ,       [25_00_53, 25_00_01])





 def        snake_case__		(    self):
     snake_case_ :    Optional[int]     			=						tempfile.mkdtemp()
     snake_case_ :    List[str]     			=						self.tokenizer.fairseq_tokens_to_ids
     self.tokenizer.save_pretrained(lowercase_)
     snake_case_ :    int     			=						MBartaaTokenizer.from_pretrained(lowercase_)
     self.assertDictEqual(new_tok.fairseq_tokens_to_ids ,       lowercase_)





 @require_torch
 def        snake_case__		(    self):
     snake_case_ :    Optional[Any]     			=						self.tokenizer(self.src_text ,       text_target=self.tgt_text ,       padding=lowercase_ ,       return_tensors="pt")
     snake_case_ :    Optional[int]     			=						shift_tokens_right(batch["labels"] ,       self.tokenizer.pad_token_id)

     # fairseq batch: https://gist.github.com/sshleifer/cba08bc2109361a74ac3760a7e30e4f4
     assert batch.input_ids[1][0] == EN_CODE
     assert batch.input_ids[1][-1] == 2
     assert batch.labels[1][0] == RO_CODE
     assert batch.labels[1][-1] == 2
     assert batch.decoder_input_ids[1][:2].tolist() == [2, RO_CODE]





 @require_torch
 def        snake_case__		(    self):
     snake_case_ :    Tuple     			=						self.tokenizer(
         self.src_text ,       text_target=self.tgt_text ,       padding=lowercase_ ,       truncation=lowercase_ ,       max_length=len(self.expected_src_tokens) ,       return_tensors="pt" ,       )
     snake_case_ :    Tuple     			=						shift_tokens_right(batch["labels"] ,       self.tokenizer.pad_token_id)

     self.assertIsInstance(lowercase_ ,       lowercase_)

     self.assertEqual((2, 14) ,       batch.input_ids.shape)
     self.assertEqual((2, 14) ,       batch.attention_mask.shape)
     snake_case_ :    Optional[int]     			=						batch.input_ids.tolist()[0]
     self.assertListEqual(self.expected_src_tokens ,       lowercase_)
     self.assertEqual(2 ,       batch.decoder_input_ids[0, 0])  # decoder_start_token_id
     # Test that special tokens are reset
     self.assertEqual(self.tokenizer.prefix_tokens ,       [EN_CODE])
     self.assertEqual(self.tokenizer.suffix_tokens ,       [self.tokenizer.eos_token_id])





 def        snake_case__		(    self):
     snake_case_ :    Union[str, Any]     			=						self.tokenizer(self.src_text ,       padding=lowercase_ ,       truncation=lowercase_ ,       max_length=3 ,       return_tensors="pt")
     snake_case_ :    List[Any]     			=						self.tokenizer(
         text_target=self.tgt_text ,       padding=lowercase_ ,       truncation=lowercase_ ,       max_length=10 ,       return_tensors="pt")
     snake_case_ :    str     			=						targets["input_ids"]
     snake_case_ :    List[Any]     			=						shift_tokens_right(lowercase_ ,       self.tokenizer.pad_token_id)

     self.assertEqual(batch.input_ids.shape[1] ,       3)
     self.assertEqual(batch.decoder_input_ids.shape[1] ,       10)





 @require_torch
 def        snake_case__		(    self):
     snake_case_ :    Union[str, Any]     			=						self.tokenizer._build_translation_inputs(
         "A test" ,       return_tensors="pt" ,       src_lang="en_XX" ,       tgt_lang="ar_AR")

     self.assertEqual(
         nested_simplify(lowercase_) ,       {
             # en_XX, A, test, EOS
             "input_ids": [[25_00_04, 62, 30_34, 2]],
             "attention_mask": [[1, 1, 1, 1]],
             # ar_AR
             "forced_bos_token_id": 25_00_01,
         } ,       )






'''simple docstring'''
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
a_											=						"src/diffusers"
a_											=						"."


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

def 						UpperCamelCase_     (	__SCREAMING_SNAKE_CASE,		__SCREAMING_SNAKE_CASE       ):
    """simple docstring"""






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

def 						UpperCamelCase_     (	__SCREAMING_SNAKE_CASE       ):
    """simple docstring"""






    snake_case_ :    Optional[int]     			=						object_name.split("."       )
    snake_case_ :    Dict     			=						0

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

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

    # Now let's find the class / func in the code!
    snake_case_ :    Any     			=						""
    snake_case_ :    Optional[Any]     			=						0
    for name in parts[i + 1 :]:
        while (
            line_index < len(__SCREAMING_SNAKE_CASE       ) 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(__SCREAMING_SNAKE_CASE       ):
        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_ :    Union[str, Any]     			=						line_index
    while line_index < len(__SCREAMING_SNAKE_CASE       ) and _should_continue(lines[line_index],		__SCREAMING_SNAKE_CASE       ):
        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(__SCREAMING_SNAKE_CASE       )


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

def 						UpperCamelCase_     (	__SCREAMING_SNAKE_CASE       ):
    """simple docstring"""






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

def 						UpperCamelCase_     (	__SCREAMING_SNAKE_CASE       ):
    """simple docstring"""






    snake_case_ :    Optional[Any]     			=						len(get_indent(__SCREAMING_SNAKE_CASE       )       ) > 0
    if has_indent:
        snake_case_ :    Optional[Any]     			=						f'class Bla:\n{code}'
    snake_case_ :    List[Any]     			=						black.Mode(target_versions={black.TargetVersion.PYaa},		line_length=1_1_9,		preview=__SCREAMING_SNAKE_CASE       )
    snake_case_ :    List[str]     			=						black.format_str(__SCREAMING_SNAKE_CASE,		mode=__SCREAMING_SNAKE_CASE       )
    snake_case_			, snake_case_ :    Optional[Any]     			=						style_docstrings_in_code(__SCREAMING_SNAKE_CASE       )
    return result[len("class Bla:\n"       ) :] if has_indent else result

def 						UpperCamelCase_     (	__SCREAMING_SNAKE_CASE,		__SCREAMING_SNAKE_CASE=False       ):
    """simple docstring"""






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

        snake_case_ :    Dict     			=						line_index + 1 if indent == theoretical_indent else line_index + 2
        snake_case_ :    Dict     			=						theoretical_indent
        snake_case_ :    Tuple     			=						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(__SCREAMING_SNAKE_CASE       ) and should_continue:
            line_index += 1
            if line_index >= len(__SCREAMING_SNAKE_CASE       ):
                break
            snake_case_ :    Dict     			=						lines[line_index]
            snake_case_ :    List[Any]     			=						_should_continue(__SCREAMING_SNAKE_CASE,		__SCREAMING_SNAKE_CASE       ) and re.search(f'^{indent}# End copy',		__SCREAMING_SNAKE_CASE       ) is None
        # Clean up empty lines at the end (if any).
        while len(lines[line_index - 1]       ) <= 1:
            line_index -= 1

        snake_case_ :    Optional[int]     			=						lines[start_index:line_index]
        snake_case_ :    Optional[Any]     			=						"".join(__SCREAMING_SNAKE_CASE       )

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

        # Before comparing, use the `replace_pattern` on the original code.
        if len(__SCREAMING_SNAKE_CASE       ) > 0:
            snake_case_ :    Union[str, Any]     			=						replace_pattern.replace("with",		""       ).split(","       )
            snake_case_ :    Optional[Any]     			=						[_re_replace_pattern.search(__SCREAMING_SNAKE_CASE       ) 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_ :    Optional[int]     			=						re.sub(__SCREAMING_SNAKE_CASE,		__SCREAMING_SNAKE_CASE,		__SCREAMING_SNAKE_CASE       )
                if option.strip() == "all-casing":
                    snake_case_ :    List[Any]     			=						re.sub(obja.lower(),		obja.lower(),		__SCREAMING_SNAKE_CASE       )
                    snake_case_ :    Optional[int]     			=						re.sub(obja.upper(),		obja.upper(),		__SCREAMING_SNAKE_CASE       )

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

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

def 						UpperCamelCase_     (	__SCREAMING_SNAKE_CASE = False       ):
    """simple docstring"""






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

  check_copies(args.fix_and_overwrite)




