



"""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
snake_case_								=			"""src/transformers"""

# Matches is_xxx_available()
snake_case_								=			re.compile(R"""is\_([a-z_]*)_available()""")
# Matches from xxx import bla
snake_case_								=			re.compile(R"""\s+from\s+\S*\s+import\s+([^\(\s].*)\n""")
snake_case_								=			re.compile(R"""^\s+if\s+not\s+\(?is\_[a-z_]*\_available\(\)""")


snake_case_								=			"""
{0} = None
"""

snake_case_								=			"""
class {0}(metaclass=DummyObject):
    _backends = {1}

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


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

def 					_lowerCAmelCase (  lowercase_		):
						if _re_test_backend.search(lowercase_		) is None:
												return None
						UpperCAmelCase			 =					[b[0] for b in _re_backend.findall(lowercase_		)]
						backends.sort()
						return "_and_".join(lowercase_		)

def 					_lowerCAmelCase (  ):
						with open(os.path.join(lowercase_						,      '__init__.py'		)						,      'r'						,      encoding='utf-8'						,      newline='\n'		) as f:
												UpperCAmelCase			 =					f.readlines()

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

						UpperCAmelCase			 =					{}
						# 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.
												UpperCAmelCase			 =					find_backend(lines[line_index]		)
												if backend is not None:
																		while not lines[line_index].startswith('    else:'		):
																								line_index += 1
																		line_index += 1

																		UpperCAmelCase			 =					[]
																		# Until we unindent, add backend objects to the list
																		while len(lines[line_index]		) <= 1 or lines[line_index].startswith(' ' * 8		):
																								UpperCAmelCase			 =					lines[line_index]
																								UpperCAmelCase			 =					_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

																		UpperCAmelCase			 =					objects
												else:
																		line_index += 1

						return backend_specific_objects

def 					_lowerCAmelCase (  lowercase_						,      lowercase_		):
						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 					_lowerCAmelCase (  lowercase_=None		):
						if backend_specific_objects is None:
												UpperCAmelCase			 =					read_init()
						# For special correspondence backend to module name as used in the function requires_modulename
						UpperCAmelCase			 =					{}

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

						return dummy_files

def 					_lowerCAmelCase (  lowercase_=False		):
						UpperCAmelCase			 =					create_dummy_files()
						# For special correspondence backend to shortcut as used in utils/dummy_xxx_objects.py
						UpperCAmelCase			 =					{'torch': 'pt'}

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

						UpperCAmelCase			 =					{}
						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:
																								UpperCAmelCase			 =					f.read()
												else:
																		UpperCAmelCase			 =					''

						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__":
				snake_case_								=			argparse.ArgumentParser()
				parser.add_argument("""--fix_and_overwrite""", action="""store_true""", help="""Whether to fix inconsistencies.""")
				snake_case_								=			parser.parse_args()

				check_dummies(args.fix_and_overwrite)







# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import TYPE_CHECKING

from ..utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


SCREAMING_SNAKE_CASE__				=							{
    """agents""": ["""Agent""", """AzureOpenAiAgent""", """HfAgent""", """LocalAgent""", """OpenAiAgent"""],
    """base""": ["""PipelineTool""", """RemoteTool""", """Tool""", """launch_gradio_demo""", """load_tool"""],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							SCREAMING_SNAKE_CASE__				=							["""DocumentQuestionAnsweringTool"""]
							SCREAMING_SNAKE_CASE__				=							["""ImageCaptioningTool"""]
							SCREAMING_SNAKE_CASE__				=							["""ImageQuestionAnsweringTool"""]
							SCREAMING_SNAKE_CASE__				=							["""ImageSegmentationTool"""]
							SCREAMING_SNAKE_CASE__				=							["""SpeechToTextTool"""]
							SCREAMING_SNAKE_CASE__				=							["""TextClassificationTool"""]
							SCREAMING_SNAKE_CASE__				=							["""TextQuestionAnsweringTool"""]
							SCREAMING_SNAKE_CASE__				=							["""TextSummarizationTool"""]
							SCREAMING_SNAKE_CASE__				=							["""TextToSpeechTool"""]
							SCREAMING_SNAKE_CASE__				=							["""TranslationTool"""]

if TYPE_CHECKING:
							from .agents import Agent, AzureOpenAiAgent, HfAgent, LocalAgent, OpenAiAgent
							from .base import PipelineTool, RemoteTool, Tool, launch_gradio_demo, load_tool

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .document_question_answering import DocumentQuestionAnsweringTool
														from .image_captioning import ImageCaptioningTool
														from .image_question_answering import ImageQuestionAnsweringTool
														from .image_segmentation import ImageSegmentationTool
														from .speech_to_text import SpeechToTextTool
														from .text_classification import TextClassificationTool
														from .text_question_answering import TextQuestionAnsweringTool
														from .text_summarization import TextSummarizationTool
														from .text_to_speech import TextToSpeechTool
														from .translation import TranslationTool
else:
							import sys

							SCREAMING_SNAKE_CASE__				=							_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)





