

"""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     :    Dict    =		'src/transformers'

# Matches is_xxx_available()
__A     :    List[str]    =		re.compile(R'is\_([a-z_]*)_available()')
# Matches from xxx import bla
__A     :    Optional[int]    =		re.compile(R'\s+from\s+\S*\s+import\s+([^\(\s].*)\n')
__A     :    Optional[Any]    =		re.compile(R'^\s+if\s+not\s+\(?is\_[a-z_]*\_available\(\)')


__A     :    List[str]    =		'\n{0} = None\n'

__A     :    List[Any]    =		'\nclass {0}(metaclass=DummyObject):\n    _backends = {1}\n\n    def __init__(self, *args, **kwargs):\n        requires_backends(self, {1})\n'


__A     :    Tuple    =		'\ndef {0}(*args, **kwargs):\n    requires_backends({0}, {1})\n'
def    __SCREAMING_SNAKE_CASE						(						lowercase__      ):
					"""simple docstring"""
					if _re_test_backend.search(lowercase__      ) is None:
										return None
					A			=					[b[0] for b in _re_backend.findall(lowercase__      )]
					backends.sort()
					return "_and_".join(lowercase__      )
def    __SCREAMING_SNAKE_CASE						(						):
					"""simple docstring"""
					with open(os.path.join(lowercase__			,							"__init__.py"      )			,							"r"			,							encoding="utf-8"			,							newline="\n"      ) as f:
										A			=					f.readlines()

					# Get to the point we do the actual imports for type checking
					A			=					0
					while not lines[line_index].startswith("if TYPE_CHECKING"      ):
										line_index += 1

					A			=					{}
					# Go through the end of the file
					while line_index < len(lowercase__      ):
										# If the line is an if is_backend_available, we grab all objects associated.
										A			=					find_backend(lines[line_index]      )
										if backend is not None:
															while not lines[line_index].startswith("    else:"      ):
																				line_index += 1
															line_index += 1

															A			=					[]
															# Until we unindent, add backend objects to the list
															while len(lines[line_index]      ) <= 1 or lines[line_index].startswith(" " * 8      ):
																				A			=					lines[line_index]
																				A			=					_re_single_line_import.search(lowercase__      )
																				if single_line_import_search is not None:
																									objects.extend(single_line_import_search.groups()[0].split(", "      )      )
																				elif line.startswith(" " * 12      ):
																									objects.append(line[12:-2]      )
																				line_index += 1

															A			=					objects
										else:
															line_index += 1

					return backend_specific_objects
def    __SCREAMING_SNAKE_CASE						(						lowercase__			,							lowercase__      ):
					"""simple docstring"""
					if name.isupper():
										return DUMMY_CONSTANT.format(lowercase__      )
					elif name.islower():
										return DUMMY_FUNCTION.format(lowercase__			,							lowercase__      )
					else:
										return DUMMY_CLASS.format(lowercase__			,							lowercase__      )
def    __SCREAMING_SNAKE_CASE						(						lowercase__=None      ):
					"""simple docstring"""
					if backend_specific_objects is None:
										A			=					read_init()
					# For special correspondence backend to module name as used in the function requires_modulename
					A			=					{}

					for backend, objects in backend_specific_objects.items():
										A			=					"[" + ", ".join(F"""\"{b}\"""" for b in backend.split("_and_"      )      ) + "]"
										A			=					"# 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(lowercase__			,							lowercase__      ) for o in objects]      )
										A			=					dummy_file

					return dummy_files
def    __SCREAMING_SNAKE_CASE						(						lowercase__=False      ):
					"""simple docstring"""
					A			=					create_dummy_files()
					# For special correspondence backend to shortcut as used in utils/dummy_xxx_objects.py
					A			=					{"torch": "pt"}

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

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

					for backend in dummy_files.keys():
										if dummy_files[backend] != actual_dummies[backend]:
															if overwrite:
																				print(
																				    F"""Updating transformers.utils.dummy_{short_names.get(lowercase__			,							lowercase__      )}_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"""transformers.utils.dummy_{short_names.get(lowercase__			,							lowercase__      )}_objects.py. Run `make fix-copies` """
																				    "to fix this."      )


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

	check_dummies(args.fix_and_overwrite)








"""simple docstring"""




import textwrap

import pyarrow as pa
import pytest

from datasets import Features, Image
from datasets.packaged_modules.text.text import Text

from ..utils import require_pil
@pytest.fixture
def    __SCREAMING_SNAKE_CASE						(						lowercase__      ):
					"""simple docstring"""
					A			=					tmp_path / "text.txt"
					A			=					textwrap.dedent(
					    "\\n        Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.\n        Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.\n        Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.\n        Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.\n\n        Second paragraph:\n        Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.\n        Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.\n        Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.\n        Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.\n        "      )
					with open(lowercase__			,							"w"			,							encoding="utf-8"      ) as f:
										f.write(lowercase__      )
					return str(lowercase__      )
@pytest.fixture
def    __SCREAMING_SNAKE_CASE						(						lowercase__			,							lowercase__      ):
					"""simple docstring"""
					A			=					tmp_path / "text_with_image.txt"
					with open(lowercase__			,							"w"			,							encoding="utf-8"      ) as f:
										f.write(lowercase__      )
					return str(lowercase__      )
@pytest.mark.parametrize("keep_linebreaks"			,							[True, False]      )
def    __SCREAMING_SNAKE_CASE						(						lowercase__			,							lowercase__      ):
					"""simple docstring"""
					with open(lowercase__			,							encoding="utf-8"      ) as f:
										A			=					f.read().splitlines(keepends=lowercase__      )
					A			=					Text(keep_linebreaks=lowercase__			,							encoding="utf-8"      )
					A			=					text._generate_tables([[text_file]]      )
					A			=					pa.concat_tables([table for _, table in generator]      ).to_pydict()["text"]
					assert generated_content == expected_content
@require_pil
def    __SCREAMING_SNAKE_CASE						(						lowercase__      ):
					"""simple docstring"""
					with open(lowercase__			,							encoding="utf-8"      ) as f:
										A			=					f.read().splitlines()[0]
					A			=					Text(encoding="utf-8"			,							features=Features({"image": Image()}      )      )
					A			=					text._generate_tables([[text_file_with_image]]      )
					A			=					pa.concat_tables([table for _, table in generator]      )
					assert pa_table.schema.field("image"      ).type == Image()()
					A			=					pa_table.to_pydict()["image"]
					assert generated_content == [{"path": image_file, "bytes": None}]
@pytest.mark.parametrize("sample_by"			,							["line", "paragraph", "document"]      )
def    __SCREAMING_SNAKE_CASE						(						lowercase__			,							lowercase__      ):
					"""simple docstring"""
					with open(lowercase__			,							encoding="utf-8"      ) as f:
										A			=					f.read()
					if sample_by == "line":
										A			=					expected_content.splitlines()
					elif sample_by == "paragraph":
										A			=					expected_content.split("\n\n"      )
					elif sample_by == "document":
										A			=					[expected_content]
					A			=					Text(sample_by=lowercase__			,							encoding="utf-8"			,							chunksize=100      )
					A			=					text._generate_tables([[text_file]]      )
					A			=					pa.concat_tables([table for _, table in generator]      ).to_pydict()["text"]
					assert generated_content == expected_content





