"""simple docstring"""




import argparse
import os
import re


UpperCamelCase__    							= 'src/diffusers'

# Pattern that looks at the indentation in a line.
UpperCamelCase__    							= re.compile(R'^(\s*)\S')
# Pattern that matches `"key":" and puts `key` in group 0.
UpperCamelCase__    							= re.compile(R'^\s*"([^"]+)":')
# Pattern that matches `_import_structure["key"]` and puts `key` in group 0.
UpperCamelCase__    							= re.compile(R'^\s*_import_structure\["([^"]+)"\]')
# Pattern that matches `"key",` and puts `key` in group 0.
UpperCamelCase__    							= re.compile(R'^\s*"([^"]+)",\s*$')
# Pattern that matches any `[stuff]` and puts `stuff` in group 0.
UpperCamelCase__    							= re.compile(R'\[([^\]]+)\]')




def        lowerCAmelCase_			(					__A							)					->    str:







      '''simple docstring'''


      UpperCAmelCase__								=  _re_indent.search(__A							)
      return "" if search is None else search.groups()[0]




def        lowerCAmelCase_			(					__A,  __A="",  __A=None,  __A=None							)					->    str:







      '''simple docstring'''


      UpperCAmelCase__								=  0
      UpperCAmelCase__								=  code.split("\n"							)
      if start_prompt is not None:
            while not lines[index].startswith(__A							):
                  index += 1
            UpperCAmelCase__								=  ["\n".join(lines[:index]							)]
      else:
            UpperCAmelCase__								=  []

      # We split into blocks until we get to the `end_prompt` (or the end of the block).
      UpperCAmelCase__								=  [lines[index]]
      index += 1
      while index < len(__A							) and (end_prompt is None or not lines[index].startswith(__A							)):
            if len(lines[index]							) > 0 and get_indent(lines[index]							) == indent_level:
                  if len(__A							) > 0 and get_indent(current_block[-1]							).startswith(indent_level + " "							):
                        current_block.append(lines[index]							)
                        blocks.append("\n".join(__A							)							)
                        if index < len(__A							) - 1:
                              UpperCAmelCase__								=  [lines[index + 1]]
                              index += 1
                        else:
                              UpperCAmelCase__								=  []
                  else:
                        blocks.append("\n".join(__A							)							)
                        UpperCAmelCase__								=  [lines[index]]
            else:
                  current_block.append(lines[index]							)
            index += 1

      # Adds current block if it's nonempty.
      if len(__A							) > 0:
            blocks.append("\n".join(__A							)							)

      # Add final block after end_prompt if provided.
      if end_prompt is not None and index < len(__A							):
            blocks.append("\n".join(lines[index:]							)							)

      return blocks




def        lowerCAmelCase_			(					__A							)					->    Tuple:







      '''simple docstring'''


      def _inner(__A							):
            return key(__A							).lower().replace("_",  ""							)

      return _inner




def        lowerCAmelCase_			(					__A,  __A=None							)					->    List[str]:







      '''simple docstring'''


      def noop(__A							):
            return x

      if key is None:
            UpperCAmelCase__								=  noop
      # Constants are all uppercase, they go first.
      UpperCAmelCase__								=  [obj for obj in objects if key(__A							).isupper()]
      # Classes are not all uppercase but start with a capital, they go second.
      UpperCAmelCase__								=  [obj for obj in objects if key(__A							)[0].isupper() and not key(__A							).isupper()]
      # Functions begin with a lowercase, they go last.
      UpperCAmelCase__								=  [obj for obj in objects if not key(__A							)[0].isupper()]

      UpperCAmelCase__								=  ignore_underscore(__A							)
      return sorted(__A,  key=__A							) + sorted(__A,  key=__A							) + sorted(__A,  key=__A							)




def        lowerCAmelCase_			(					__A							)					->    Optional[Any]:







      '''simple docstring'''


      def _replace(__A							):
            UpperCAmelCase__								=  match.groups()[0]
            if "," not in imports:
                  return f"""[{imports}]"""
            UpperCAmelCase__								=  [part.strip().replace("\"",  ""							) for part in imports.split(","							)]
            # We will have a final empty element if the line finished with a comma.
            if len(keys[-1]							) == 0:
                  UpperCAmelCase__								=  keys[:-1]
            return "[" + ", ".join([f"""\"{k}\"""" for k in sort_objects(__A							)]							) + "]"

      UpperCAmelCase__								=  import_statement.split("\n"							)
      if len(__A							) > 3:
            # Here we have to sort internal imports that are on several lines (one per name):
            # key: [
            #     "object1",
            #     "object2",
            #     ...
            # ]

            # We may have to ignore one or two lines on each side.
            UpperCAmelCase__								=  2 if lines[1].strip() == "[" else 1
            UpperCAmelCase__								=  [(i, _re_strip_line.search(__A							).groups()[0]) for i, line in enumerate(lines[idx:-idx]							)]
            UpperCAmelCase__								=  sort_objects(__A,  key=lambda __A							: x[1]							)
            UpperCAmelCase__								=  [lines[x[0] + idx] for x in sorted_indices]
            return "\n".join(lines[:idx] + sorted_lines + lines[-idx:]							)
      elif len(__A							) == 3:
            # Here we have to sort internal imports that are on one separate line:
            # key: [
            #     "object1", "object2", ...
            # ]
            if _re_bracket_content.search(lines[1]							) is not None:
                  UpperCAmelCase__								=  _re_bracket_content.sub(_replace,  lines[1]							)
            else:
                  UpperCAmelCase__								=  [part.strip().replace("\"",  ""							) for part in lines[1].split(","							)]
                  # We will have a final empty element if the line finished with a comma.
                  if len(keys[-1]							) == 0:
                        UpperCAmelCase__								=  keys[:-1]
                  UpperCAmelCase__								=  get_indent(lines[1]							) + ", ".join([f"""\"{k}\"""" for k in sort_objects(__A							)]							)
            return "\n".join(__A							)
      else:
            # Finally we have to deal with imports fitting on one line
            UpperCAmelCase__								=  _re_bracket_content.sub(_replace,  __A							)
            return import_statement




def        lowerCAmelCase_			(					__A,  __A=True							)					->    Any:







      '''simple docstring'''


      with open(__A,  "r"							) as f:
            UpperCAmelCase__								=  f.read()

      if "_import_structure" not in code:
            return

      # Blocks of indent level 0
      UpperCAmelCase__								=  split_code_in_indented_blocks(
          __A,  start_prompt="_import_structure = {",  end_prompt="if TYPE_CHECKING:"							)

      # We ignore block 0 (everything until start_prompt) and the last block (everything after end_prompt).
      for block_idx in range(1,  len(__A							) - 1							):
            # Check if the block contains some `_import_structure`s thingy to sort.
            UpperCAmelCase__								=  main_blocks[block_idx]
            UpperCAmelCase__								=  block.split("\n"							)

            # Get to the start of the imports.
            UpperCAmelCase__								=  0
            while line_idx < len(__A							) and "_import_structure" not in block_lines[line_idx]:
                  # Skip dummy import blocks
                  if "import dummy" in block_lines[line_idx]:
                        UpperCAmelCase__								=  len(__A							)
                  else:
                        line_idx += 1
            if line_idx >= len(__A							):
                  continue

            # Ignore beginning and last line: they don't contain anything.
            UpperCAmelCase__								=  "\n".join(block_lines[line_idx:-1]							)
            UpperCAmelCase__								=  get_indent(block_lines[1]							)
            # Slit the internal block into blocks of indent level 1.
            UpperCAmelCase__								=  split_code_in_indented_blocks(__A,  indent_level=__A							)
            # We have two categories of import key: list or _import_structure[key].append/extend
            UpperCAmelCase__								=  _re_direct_key if "_import_structure" in block_lines[0] else _re_indirect_key
            # Grab the keys, but there is a trap: some lines are empty or just comments.
            UpperCAmelCase__								=  [(pattern.search(__A							).groups()[0] if pattern.search(__A							) is not None else None) for b in internal_blocks]
            # We only sort the lines with a key.
            UpperCAmelCase__								=  [(i, key) for i, key in enumerate(__A							) if key is not None]
            UpperCAmelCase__								=  [x[0] for x in sorted(__A,  key=lambda __A							: x[1]							)]

            # We reorder the blocks by leaving empty lines/comments as they were and reorder the rest.
            UpperCAmelCase__								=  0
            UpperCAmelCase__								=  []
            for i in range(len(__A							)							):
                  if keys[i] is None:
                        reordered_blocks.append(internal_blocks[i]							)
                  else:
                        UpperCAmelCase__								=  sort_objects_in_import(internal_blocks[sorted_indices[count]]							)
                        reordered_blocks.append(__A							)
                        count += 1

        # And we put our main block back together with its first and last line.
            UpperCAmelCase__								=  "\n".join(block_lines[:line_idx] + reordered_blocks + [block_lines[-1]]							)

      if code != "\n".join(__A							):
            if check_only:
                  return True
            else:
                  print(f"""Overwriting {file}."""							)
                  with open(__A,  "w"							) as f:
                        f.write("\n".join(__A							)							)




def        lowerCAmelCase_			(					__A=True							)					->    List[str]:







      '''simple docstring'''


      UpperCAmelCase__								=  []
      for root, _, files in os.walk(__A							):
            if "__init__.py" in files:
                  UpperCAmelCase__								=  sort_imports(os.path.join(__A,  "__init__.py"							),  check_only=__A							)
                  if result:
                        UpperCAmelCase__								=  [os.path.join(__A,  "__init__.py"							)]
      if len(__A							) > 0:
            raise ValueError(f"""Would overwrite {len(__A							)} files, run `make style`."""							)


if __name__ == "__main__":
      UpperCamelCase__    							= argparse.ArgumentParser()
      parser.add_argument('--check_only', action='store_true', help='Whether to only check or fix style.')
      UpperCamelCase__    							= parser.parse_args()

      sort_imports_in_all_inits(check_only=args.check_only)




# 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.
import torch

from ..models.auto import AutoModelForSequenceClassification, AutoTokenizer
from .base import PipelineTool





class 					A							(    UpperCAmelCase_					):
   __UpperCAmelCase			:			List[Any]              =      'facebook/bart-large-mnli'
   __UpperCAmelCase			:			Optional[Any]              =      (
       'This is a tool that classifies an English text using provided labels. It takes two inputs: `text`, which '
       'should be the text to classify, and `labels`, which should be the list of labels to use for classification. '
       'It returns the most likely label in the list of provided `labels` for the input text.'
   )
   __UpperCAmelCase			:			Optional[int]              =      'text_classifier'
   __UpperCAmelCase			:			int              =      AutoTokenizer
   __UpperCAmelCase			:			Dict              =      AutoModelForSequenceClassification

   __UpperCAmelCase			:			int              =      ['text', ['text']]
   __UpperCAmelCase			:			Optional[int]              =      ['text']


   def       lowercase_				(self					:						List[Any]		)						->    List[str]:
         """simple docstring"""



         super().setup()
         UpperCAmelCase__								=  self.model.config
         UpperCAmelCase__								=  -1
         for idx, label in config.idalabel.items():
               if label.lower().startswith("entail"		):
                     UpperCAmelCase__								=  int(__UpperCAmelCase		)
         if self.entailment_id == -1:
               raise ValueError("Could not determine the entailment ID from the model config, please pass it at init."		)


   def       lowercase_				(self					:						Union[str, Any]	,  __UpperCAmelCase					:						Dict	,  __UpperCAmelCase					:						int		)						->    Optional[int]:
         """simple docstring"""



         UpperCAmelCase__								=  labels
         return self.pre_processor(
             [text] * len(__UpperCAmelCase		)	,  [f"""This example is {label}""" for label in labels]	,  return_tensors="pt"	,  padding="max_length"	,  )





   def       lowercase_				(self					:						Dict	,  __UpperCAmelCase					:						Tuple		)						->    int:
         """simple docstring"""



         UpperCAmelCase__								=  outputs.logits
         UpperCAmelCase__								=  torch.argmax(logits[:, 2]		).item()
         return self._labels[label_id]



