





import argparse
import os
import re


_lowerCAmelCase				:   List[str]						       =						'''src/transformers'''

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

def   __snake_case    (       _lowerCAmelCase			:			str						)			->    List[Any]:
   A_       :					Tuple        =      _re_indent.search(_lowerCAmelCase						)
   return "" if search is None else search.groups()[0]

def   __snake_case    (       _lowerCAmelCase			:			Optional[int]					,					_lowerCAmelCase			:			List[str]=""					,					_lowerCAmelCase			:			List[str]=None					,					_lowerCAmelCase			:			List[Any]=None						)			->    List[str]:
   A_       :					Dict        =      0
   A_       :					List[str]        =      code.split("\n"						)
   if start_prompt is not None:
      while not lines[index].startswith(_lowerCAmelCase						):
         index += 1
      A_       :					Tuple        =      ["\n".join(lines[:index]						)]
   else:
      A_       :					str        =      []

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

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

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

   return blocks

def   __snake_case    (       _lowerCAmelCase			:			Optional[Any]						)			->    Optional[int]:

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

   return _inner

def   __snake_case    (       _lowerCAmelCase			:			int					,					_lowerCAmelCase			:			Any=None						)			->    List[Any]:

   # If no key is provided, we use a noop.
   def noop(_lowerCAmelCase			:			List[Any]						):
      return x

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

   A_       :					Tuple        =      ignore_underscore(_lowerCAmelCase						)
   return sorted(_lowerCAmelCase					,					key=_lowerCAmelCase						) + sorted(_lowerCAmelCase					,					key=_lowerCAmelCase						) + sorted(_lowerCAmelCase					,					key=_lowerCAmelCase						)

def   __snake_case    (       _lowerCAmelCase			:			List[str]						)			->    int:

   # This inner function sort imports between [ ].
   def _replace(_lowerCAmelCase			:			Any						):
      A_       :					Optional[Any]        =      match.groups()[0]
      if "," not in imports:
         return f"[{imports}]"
      A_       :					Optional[Any]        =      [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:
         A_       :					Union[str, Any]        =      keys[:-1]
      return "[" + ", ".join([f"\"{k}\"" for k in sort_objects(_lowerCAmelCase						)]						) + "]"

   A_       :					Dict        =      import_statement.split("\n"						)
   if len(_lowerCAmelCase						) > 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.
      A_       :					Optional[Any]        =      2 if lines[1].strip() == "[" else 1
      A_       :					List[Any]        =      [(i, _re_strip_line.search(_lowerCAmelCase						).groups()[0]) for i, line in enumerate(lines[idx:-idx]						)]
      A_       :					int        =      sort_objects(_lowerCAmelCase					,					key=lambda _lowerCAmelCase						: x[1]						)
      A_       :					List[Any]        =      [lines[x[0] + idx] for x in sorted_indices]
      return "\n".join(lines[:idx] + sorted_lines + lines[-idx:]						)
   elif len(_lowerCAmelCase						) == 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:
         A_       :					Tuple        =      _re_bracket_content.sub(_replace					,					lines[1]						)
      else:
         A_       :					Dict        =      [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:
            A_       :					List[str]        =      keys[:-1]
         A_       :					List[Any]        =      get_indent(lines[1]						) + ", ".join([f"\"{k}\"" for k in sort_objects(_lowerCAmelCase						)]						)
      return "\n".join(_lowerCAmelCase						)
   else:
      # Finally we have to deal with imports fitting on one line
      A_       :					List[str]        =      _re_bracket_content.sub(_replace					,					_lowerCAmelCase						)
      return import_statement

def   __snake_case    (       _lowerCAmelCase			:			Optional[int]					,					_lowerCAmelCase			:			Any=True						)			->    str:
   with open(_lowerCAmelCase					,					encoding="utf-8"						) as f:
      A_       :					Tuple        =      f.read()

   if "_import_structure" not in code:
      return

   # Blocks of indent level 0
   A_       :					List[str]        =      split_code_in_indented_blocks(
       _lowerCAmelCase					,					start_prompt="_import_structure = {"					,					end_prompt="if TYPE_CHECKING:"						)

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

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

      # Ignore beginning and last line: they don't contain anything.
      A_       :					Union[str, Any]        =      "\n".join(block_lines[line_idx:-1]						)
      A_       :					Optional[Any]        =      get_indent(block_lines[1]						)
      # Slit the internal block into blocks of indent level 1.
      A_       :					List[str]        =      split_code_in_indented_blocks(_lowerCAmelCase					,					indent_level=_lowerCAmelCase						)
      # We have two categories of import key: list or _import_structure[key].append/extend
      A_       :					Union[str, Any]        =      _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.
      A_       :					Optional[Any]        =      [(pattern.search(_lowerCAmelCase						).groups()[0] if pattern.search(_lowerCAmelCase						) is not None else None) for b in internal_blocks]
      # We only sort the lines with a key.
      A_       :					List[str]        =      [(i, key) for i, key in enumerate(_lowerCAmelCase						) if key is not None]
      A_       :					Any        =      [x[0] for x in sorted(_lowerCAmelCase					,					key=lambda _lowerCAmelCase						: x[1]						)]

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

        # And we put our main block back together with its first and last line.
      A_       :					Union[str, Any]        =      "\n".join(block_lines[:line_idx] + reorderded_blocks + [block_lines[-1]]						)

   if code != "\n".join(_lowerCAmelCase						):
      if check_only:
         return True
      else:
         print(f"Overwriting {file}."						)
         with open(_lowerCAmelCase					,					"w"					,					encoding="utf-8"						) as f:
            f.write("\n".join(_lowerCAmelCase						)						)

def   __snake_case    (       _lowerCAmelCase			:			Tuple=True						)			->    Any:
   A_       :					int        =      []
   for root, _, files in os.walk(_lowerCAmelCase						):
      if "__init__.py" in files:
         A_       :					Optional[int]        =      sort_imports(os.path.join(_lowerCAmelCase					,					"__init__.py"						)					,					check_only=_lowerCAmelCase						)
         if result:
            A_       :					Union[str, Any]        =      [os.path.join(_lowerCAmelCase					,					"__init__.py"						)]
   if len(_lowerCAmelCase						) > 0:
      raise ValueError(f"Would overwrite {len(_lowerCAmelCase						)} files, run `make style`."						)


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

 sort_imports_in_all_inits(check_only=args.check_only)







# Copyright 2023 The HuggingFace 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 accelerate import PartialState
from accelerate.utils.operations import broadcast, gather, gather_object, pad_across_processes, reduce

def   __snake_case    (       _lowerCAmelCase			:			Optional[int]						)			->    Dict:
   return (torch.arange(state.num_processes						) + 1.0 + (state.num_processes * state.process_index)).to(state.device						)

def   __snake_case    (       _lowerCAmelCase			:			Tuple						)			->    Optional[Any]:
   A_       :					Optional[Any]        =      create_tensor(_lowerCAmelCase						)
   A_       :					Dict        =      gather(_lowerCAmelCase						)
   assert gathered_tensor.tolist() == list(range(1					,					state.num_processes**2 + 1						)						)

def   __snake_case    (       _lowerCAmelCase			:			List[Any]						)			->    Any:
   A_       :					int        =      [state.process_index]
   A_       :					Union[str, Any]        =      gather_object(_lowerCAmelCase						)
   assert len(_lowerCAmelCase						) == state.num_processes, f"{gathered_obj}, {len(_lowerCAmelCase						)} != {state.num_processes}"
   assert gathered_obj == list(range(state.num_processes						)						), f"{gathered_obj} != {list(range(state.num_processes						)						)}"

def   __snake_case    (       _lowerCAmelCase			:			Union[str, Any]						)			->    Optional[Any]:
   A_       :					List[str]        =      create_tensor(_lowerCAmelCase						)
   A_       :					Optional[Any]        =      broadcast(_lowerCAmelCase						)
   assert broadcasted_tensor.shape == torch.Size([state.num_processes]						)
   assert broadcasted_tensor.tolist() == list(range(1					,					state.num_processes + 1						)						)

def   __snake_case    (       _lowerCAmelCase			:			Dict						)			->    str:
   # We need to pad the tensor with one more element if we are the main process
   # to ensure that we can pad
   if state.is_main_process:
      A_       :					Tuple        =      torch.arange(state.num_processes + 1						).to(state.device						)
   else:
      A_       :					List[str]        =      torch.arange(state.num_processes						).to(state.device						)
   A_       :					Any        =      pad_across_processes(_lowerCAmelCase						)
   assert padded_tensor.shape == torch.Size([state.num_processes + 1]						)
   if not state.is_main_process:
      assert padded_tensor.tolist() == list(range(0					,					state.num_processes						)						) + [0]

def   __snake_case    (       _lowerCAmelCase			:			List[Any]						)			->    Tuple:
   # For now runs on only two processes
   if state.num_processes != 2:
      return
   A_       :					str        =      create_tensor(_lowerCAmelCase						)
   A_       :					int        =      reduce(_lowerCAmelCase					,					"sum"						)
   A_       :					Optional[Any]        =      torch.tensor([4.0, 6]						).to(state.device						)
   assert torch.allclose(_lowerCAmelCase					,					_lowerCAmelCase						), f"{reduced_tensor} != {truth_tensor}"

def   __snake_case    (       _lowerCAmelCase			:			Union[str, Any]						)			->    Dict:
   # For now runs on only two processes
   if state.num_processes != 2:
      return
   A_       :					List[str]        =      create_tensor(_lowerCAmelCase						)
   A_       :					Tuple        =      reduce(_lowerCAmelCase					,					"mean"						)
   A_       :					List[str]        =      torch.tensor([2.0, 3]						).to(state.device						)
   assert torch.allclose(_lowerCAmelCase					,					_lowerCAmelCase						), f"{reduced_tensor} != {truth_tensor}"

def   __snake_case    (       _lowerCAmelCase			:			List[str]						)			->    Dict:
   # For xla_spawn (TPUs)
   main()

def   __snake_case    (       )			->    List[str]:
   A_       :					Tuple        =      PartialState()
   state.print(f"State: {state}"						)
   state.print("testing gather"						)
   test_gather(_lowerCAmelCase						)
   state.print("testing gather_object"						)
   test_gather_object(_lowerCAmelCase						)
   state.print("testing broadcast"						)
   test_broadcast(_lowerCAmelCase						)
   state.print("testing pad_across_processes"						)
   test_pad_across_processes(_lowerCAmelCase						)
   state.print("testing reduce_sum"						)
   test_reduce_sum(_lowerCAmelCase						)
   state.print("testing reduce_mean"						)
   test_reduce_mean(_lowerCAmelCase						)


if __name__ == "__main__":
 main()
