






"""simple docstring"""







import os
import unittest

from transformers import BatchEncoding
from transformers.models.bert.tokenization_bert import (
    BasicTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.models.prophetnet.tokenization_prophetnet import VOCAB_FILES_NAMES, ProphetNetTokenizer
from transformers.testing_utils import require_torch, slow

from ...test_tokenization_common import TokenizerTesterMixin


class    __UpperCAmelCase(       SCREAMING_SNAKE_CASE__  ,  unittest.TestCase							):




						"""simple docstring"""




						__lowerCamelCase    	= ProphetNetTokenizer
						__lowerCamelCase    	= False




						def 		UpperCAmelCase_	(       self      ):
												'''simple docstring'''
												super().setUp()

												lowercase__    :				Any=	[
												    "[UNK]",
												    "[CLS]",
												    "[SEP]",
												    "[PAD]",
												    "[MASK]",
												    "want",
												    "##want",
												    "##ed",
												    "wa",
												    "un",
												    "runn",
												    "##ing",
												    ",",
												    "low",
												    "lowest",
												]
												lowercase__    :				List[Any]=	os.path.join(self.tmpdirname	,  VOCAB_FILES_NAMES["vocab_file"]      )
												with open(self.vocab_file	,  "w"	,  encoding="utf-8"      ) as vocab_writer:
																		vocab_writer.write("".join([x + "\n" for x in vocab_tokens]      )      )




						def 		UpperCAmelCase_	(       self	,  snake_case__      ):
												'''simple docstring'''
												lowercase__    :				Optional[Any]=	"UNwant\u00E9d,running"
												lowercase__    :				Optional[int]=	"unwanted, running"
												return input_text, output_text




						def 		UpperCAmelCase_	(       self      ):
												'''simple docstring'''
												lowercase__    :				Optional[Any]=	self.tokenizer_class(self.vocab_file      )

												lowercase__    :				Optional[Any]=	tokenizer.tokenize("UNwant\u00E9d,running"      )
												self.assertListEqual(snake_case__	,  ["un", "##want", "##ed", ",", "runn", "##ing"]      )
												self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case__      )	,  [9, 6, 7, 12, 10, 11]      )




						def 		UpperCAmelCase_	(       self      ):
												'''simple docstring'''
												lowercase__    :				Union[str, Any]=	BasicTokenizer()

												self.assertListEqual(tokenizer.tokenize("ah\u535A\u63A8zz"      )	,  ["ah", "\u535A", "\u63A8", "zz"]      )




						def 		UpperCAmelCase_	(       self      ):
												'''simple docstring'''
												lowercase__    :				Tuple=	BasicTokenizer(do_lower_case=snake_case__      )

												self.assertListEqual(
												    tokenizer.tokenize(" \tHeLLo!how  \n Are yoU?  "      )	,  ["hello", "!", "how", "are", "you", "?"]      )
												self.assertListEqual(tokenizer.tokenize("H\u00E9llo"      )	,  ["hello"]      )




						def 		UpperCAmelCase_	(       self      ):
												'''simple docstring'''
												lowercase__    :				int=	BasicTokenizer(do_lower_case=snake_case__	,  strip_accents=snake_case__      )

												self.assertListEqual(
												    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "      )	,  ["hällo", "!", "how", "are", "you", "?"]      )
												self.assertListEqual(tokenizer.tokenize("H\u00E9llo"      )	,  ["h\u00E9llo"]      )




						def 		UpperCAmelCase_	(       self      ):
												'''simple docstring'''
												lowercase__    :				Union[str, Any]=	BasicTokenizer(do_lower_case=snake_case__	,  strip_accents=snake_case__      )

												self.assertListEqual(
												    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "      )	,  ["hallo", "!", "how", "are", "you", "?"]      )
												self.assertListEqual(tokenizer.tokenize("H\u00E9llo"      )	,  ["hello"]      )




						def 		UpperCAmelCase_	(       self      ):
												'''simple docstring'''
												lowercase__    :				Any=	BasicTokenizer(do_lower_case=snake_case__      )

												self.assertListEqual(
												    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "      )	,  ["hallo", "!", "how", "are", "you", "?"]      )
												self.assertListEqual(tokenizer.tokenize("H\u00E9llo"      )	,  ["hello"]      )




						def 		UpperCAmelCase_	(       self      ):
												'''simple docstring'''
												lowercase__    :				Optional[int]=	BasicTokenizer(do_lower_case=snake_case__      )

												self.assertListEqual(
												    tokenizer.tokenize(" \tHeLLo!how  \n Are yoU?  "      )	,  ["HeLLo", "!", "how", "Are", "yoU", "?"]      )




						def 		UpperCAmelCase_	(       self      ):
												'''simple docstring'''
												lowercase__    :				Dict=	BasicTokenizer(do_lower_case=snake_case__	,  strip_accents=snake_case__      )

												self.assertListEqual(
												    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "      )	,  ["HäLLo", "!", "how", "Are", "yoU", "?"]      )




						def 		UpperCAmelCase_	(       self      ):
												'''simple docstring'''
												lowercase__    :				Union[str, Any]=	BasicTokenizer(do_lower_case=snake_case__	,  strip_accents=snake_case__      )

												self.assertListEqual(
												    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "      )	,  ["HaLLo", "!", "how", "Are", "yoU", "?"]      )




						def 		UpperCAmelCase_	(       self      ):
												'''simple docstring'''
												lowercase__    :				List[Any]=	BasicTokenizer(do_lower_case=snake_case__	,  never_split=["[UNK]"]      )

												self.assertListEqual(
												    tokenizer.tokenize(" \tHeLLo!how  \n Are yoU? [UNK]"      )	,  ["HeLLo", "!", "how", "Are", "yoU", "?", "[UNK]"]      )




						def 		UpperCAmelCase_	(       self      ):
												'''simple docstring'''
												lowercase__    :				List[Any]=	["[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn", "##ing"]

												lowercase__    :				Tuple=	{}
												for i, token in enumerate(snake_case__      ):
																		lowercase__    :				Tuple=	i
												lowercase__    :				Optional[Any]=	WordpieceTokenizer(vocab=snake_case__	,  unk_token="[UNK]"      )

												self.assertListEqual(tokenizer.tokenize(""      )	,  []      )

												self.assertListEqual(tokenizer.tokenize("unwanted running"      )	,  ["un", "##want", "##ed", "runn", "##ing"]      )

												self.assertListEqual(tokenizer.tokenize("unwantedX running"      )	,  ["[UNK]", "runn", "##ing"]      )




						@require_torch
						def 		UpperCAmelCase_	(       self      ):
												'''simple docstring'''
												lowercase__    :				Optional[Any]=	self.tokenizer_class.from_pretrained("microsoft/prophetnet-large-uncased"      )

												lowercase__    :				int=	["A long paragraph for summarization.", "Another paragraph for summarization."]
												lowercase__    :				List[Any]=	[1037, 2146, 20423, 2005, 7680, 7849, 3989, 1012, 102]
												lowercase__    :				List[Any]=	tokenizer(snake_case__	,  padding=snake_case__	,  return_tensors="pt"      )
												self.assertIsInstance(snake_case__	,  snake_case__      )
												lowercase__    :				List[str]=	list(batch.input_ids.numpy()[0]      )
												self.assertListEqual(snake_case__	,  snake_case__      )

												self.assertEqual((2, 9)	,  batch.input_ids.shape      )
												self.assertEqual((2, 9)	,  batch.attention_mask.shape      )




						def 		UpperCAmelCase_	(       self      ):
												'''simple docstring'''
												self.assertTrue(_is_whitespace(" "      )      )
												self.assertTrue(_is_whitespace("\t"      )      )
												self.assertTrue(_is_whitespace("\r"      )      )
												self.assertTrue(_is_whitespace("\n"      )      )
												self.assertTrue(_is_whitespace("\u00A0"      )      )

												self.assertFalse(_is_whitespace("A"      )      )
												self.assertFalse(_is_whitespace("-"      )      )




						def 		UpperCAmelCase_	(       self      ):
												'''simple docstring'''
												self.assertTrue(_is_control("\u0005"      )      )

												self.assertFalse(_is_control("A"      )      )
												self.assertFalse(_is_control(" "      )      )
												self.assertFalse(_is_control("\t"      )      )
												self.assertFalse(_is_control("\r"      )      )




						def 		UpperCAmelCase_	(       self      ):
												'''simple docstring'''
												self.assertTrue(_is_punctuation("-"      )      )
												self.assertTrue(_is_punctuation("$"      )      )
												self.assertTrue(_is_punctuation("`"      )      )
												self.assertTrue(_is_punctuation("."      )      )

												self.assertFalse(_is_punctuation("A"      )      )
												self.assertFalse(_is_punctuation(" "      )      )




						@slow
						def 		UpperCAmelCase_	(       self      ):
												'''simple docstring'''
												lowercase__    :				str=	self.tokenizer_class.from_pretrained("microsoft/prophetnet-large-uncased"      )

												lowercase__    :				List[Any]=	tokenizer.encode("sequence builders"	,  add_special_tokens=snake_case__      )
												lowercase__    :				Union[str, Any]=	tokenizer.encode("multi-sequence build"	,  add_special_tokens=snake_case__      )

												lowercase__    :				Dict=	tokenizer.build_inputs_with_special_tokens(snake_case__      )
												lowercase__    :				Union[str, Any]=	tokenizer.build_inputs_with_special_tokens(snake_case__	,  snake_case__      )

												assert encoded_sentence == text + [102]
												assert encoded_pair == text + [102] + text_a + [102]














"""simple docstring"""







import argparse
import os
import re


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_dummies.py
a			:    Any				 =		"""src/diffusers"""

# Matches is_xxx_available()
a			:    Optional[Any]				 =		re.compile(r"""is\_([a-z_]*)_available\(\)""")
# Matches from xxx import bla
a			:    Dict				 =		re.compile(r"""\s+from\s+\S*\s+import\s+([^\(\s].*)\n""")


a			:    Dict				 =		"""
{0} = None
"""

a			:    List[Any]				 =		"""
class {0}(metaclass=DummyObject):
    _backends = {1}

    def __init__(self, *args, **kwargs):
        requires_backends(self, {1})

    @classmethod
    def from_config(cls, *args, **kwargs):
        requires_backends(cls, {1})

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, {1})
"""


a			:    Any				 =		"""
def {0}(*args, **kwargs):
    requires_backends({0}, {1})
"""





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




						"""simple docstring"""



						lowercase__    :				Optional[int]=	_re_backend.findall(A						)
						if len(A						) == 0:
												return None

						return "_and_".join(A						)





def 						lowercase__()    ->int:




						"""simple docstring"""



						with open(os.path.join(A ,		"__init__.py"						) ,		"r" ,		encoding="utf-8" ,		newline="\n"						) as f:
												lowercase__    :				Union[str, Any]=	f.readlines()

						# Get to the point we do the actual imports for type checking
						lowercase__    :				List[Any]=	0
						lowercase__    :				List[Any]=	{}
						# Go through the end of the file
						while line_index < len(A						):
												# If the line contains is_backend_available, we grab all objects associated with the `else` block
												lowercase__    :				Optional[Any]=	find_backend(lines[line_index]						)
												if backend is not None:
																		while not lines[line_index].startswith("else:"						):
																								line_index += 1
																		line_index += 1
																		lowercase__    :				str=	[]
																		# Until we unindent, add backend objects to the list
																		while line_index < len(A						) and len(lines[line_index]						) > 1:
																								lowercase__    :				List[str]=	lines[line_index]
																								lowercase__    :				Any=	_re_single_line_import.search(A						)
																								if single_line_import_search is not None:
																														objects.extend(single_line_import_search.groups()[0].split(", "						)						)
																								elif line.startswith(" " * 8						):
																														objects.append(line[8:-2]						)
																								line_index += 1

																		if len(A						) > 0:
																								lowercase__    :				str=	objects
												else:
																		line_index += 1

						return backend_specific_objects





def 						lowercase__(A ,		A						)    ->List[Any]:




						"""simple docstring"""



						if name.isupper():
												return DUMMY_CONSTANT.format(A						)
						elif name.islower():
												return DUMMY_FUNCTION.format(A ,		A						)
						else:
												return DUMMY_CLASS.format(A ,		A						)





def 						lowercase__(A=None						)    ->Optional[Any]:




						"""simple docstring"""



						if backend_specific_objects is None:
												lowercase__    :				int=	read_init()
						# For special correspondence backend to module name as used in the function requires_modulename
						lowercase__    :				Dict=	{}

						for backend, objects in backend_specific_objects.items():
												lowercase__    :				str=	"[" + ", ".join(f'''"{b}"''' for b in backend.split("_and_"						)						) + "]"
												lowercase__    :				List[str]=	"# This file is autogenerated by the command `make fix-copies`, do not edit.\n"
												dummy_file += "from ..utils import DummyObject, requires_backends\n\n"
												dummy_file += "\n".join([create_dummy_object(A ,		A						) for o in objects]						)
												lowercase__    :				Optional[Any]=	dummy_file

						return dummy_files





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




						"""simple docstring"""



						lowercase__    :				Tuple=	create_dummy_files()
						# For special correspondence backend to shortcut as used in utils/dummy_xxx_objects.py
						lowercase__    :				int=	{"torch": "pt"}

						# Locate actual dummy modules and read their content.
						lowercase__    :				Dict=	os.path.join(A ,		"utils"						)
						lowercase__    :				str=	{
						    backend: os.path.join(A ,		f'''dummy_{short_names.get(A ,		A						)}_objects.py'''						)
						    for backend in dummy_files.keys()
						}

						lowercase__    :				Union[str, Any]=	{}
						for backend, file_path in dummy_file_paths.items():
												if os.path.isfile(A						):
																		with open(A ,		"r" ,		encoding="utf-8" ,		newline="\n"						) as f:
																								lowercase__    :				List[Any]=	f.read()
												else:
																		lowercase__    :				Tuple=	""

						for backend in dummy_files.keys():
												if dummy_files[backend] != actual_dummies[backend]:
																		if overwrite:
																								print(
																								    f'''Updating diffusers.utils.dummy_{short_names.get(A ,		A						)}_objects.py as the main '''
																								    "__init__ has new objects."						)
																								with open(dummy_file_paths[backend] ,		"w" ,		encoding="utf-8" ,		newline="\n"						) as f:
																														f.write(dummy_files[backend]						)
																		else:
																								raise ValueError(
																								    "The main __init__ has objects that are not present in "
																								    f'''diffusers.utils.dummy_{short_names.get(A ,		A						)}_objects.py. Run `make fix-copies` '''
																								    "to fix this."						)


if __name__ == "__main__":
			a			:    Optional[Any]				 =		argparse.ArgumentParser()
			parser.add_argument("""--fix_and_overwrite""", action="""store_true""", help="""Whether to fix inconsistencies.""")
			a			:    Tuple				 =		parser.parse_args()

			check_dummies(args.fix_and_overwrite)






