





import argparse
import os
import re


lowercase				:	List[Any]      						=  """src/transformers"""

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



def A_     (		A__    )  ->		Tuple:
       a__						:     Optional[Any]			=    _re_indent.search(A__    )
       return "" if search is None else search.groups()[0]



def A_     (		A__		,				A__=""		,				A__=None		,				A__=None    )  ->		Union[str, Any]:
       a__						:     Union[str, Any]			=    0
       a__						:     str			=    code.split('\n'    )
       if start_prompt is not None:
              while not lines[index].startswith(A__    ):
                     index += 1
              a__						:     List[Any]			=    ['\n'.join(lines[:index]    )]
       else:
              a__						:     Dict			=    []

       # We split into blocks until we get to the `end_prompt` (or the end of the block).
       a__						:     Any			=    [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:
                                   a__						:     str			=    [lines[index + 1]]
                                   index += 1
                            else:
                                   a__						:     Optional[int]			=    []
                     else:
                            blocks.append('\n'.join(A__    )    )
                            a__						:     int			=    [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 A_     (		A__    )  ->		Optional[int]:

       def _inner(A__    ):
              return key(A__    ).lower().replace('_'		,				''    )

       return _inner



def A_     (		A__		,				A__=None    )  ->		Union[str, Any]:

       # If no key is provided, we use a noop.
       def noop(A__    ):
              return x

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

       a__						:     Optional[Any]			=    ignore_underscore(A__    )
       return sorted(A__		,				key=A__    ) + sorted(A__		,				key=A__    ) + sorted(A__		,				key=A__    )



def A_     (		A__    )  ->		Optional[Any]:

       # This inner function sort imports between [ ].
       def _replace(A__    ):
              a__						:     str			=    match.groups()[0]
              if "," not in imports:
                     return F'[{imports}]'
              a__						:     int			=    [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(A__    )]    ) + "]"

       a__						:     Union[str, Any]			=    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.
              a__						:     Optional[Any]			=    2 if lines[1].strip() == '[' else 1
              a__						:     List[Any]			=    [(i, _re_strip_line.search(A__    ).groups()[0]) for i, line in enumerate(lines[idx:-idx]    )]
              a__						:     Union[str, Any]			=    sort_objects(A__		,				key=lambda A__    : x[1]    )
              a__						:     Union[str, Any]			=    [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:
                     a__						:     Optional[int]			=    _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__						:     Any			=    keys[:-1]
                     a__						:     Optional[int]			=    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
              a__						:     str			=    _re_bracket_content.sub(_replace		,				A__    )
              return import_statement



def A_     (		A__		,				A__=True    )  ->		str:
       with open(A__		,				encoding='utf-8'    ) as f:
              a__						:     List[str]			=    f.read()

       if "_import_structure" not in code:
              return

       # Blocks of indent level 0
       a__						:     int			=    split_code_in_indented_blocks(
           A__		,				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(A__    ) - 1    ):
              # Check if the block contains some `_import_structure`s thingy to sort.
              a__						:     List[Any]			=    main_blocks[block_idx]
              a__						:     Optional[int]			=    block.split('\n'    )

              # Get to the start of the imports.
              a__						:     str			=    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]:
                            a__						:     List[str]			=    len(A__    )
                     else:
                            line_idx += 1
              if line_idx >= len(A__    ):
                     continue

              # Ignore beginning and last line: they don't contain anything.
              a__						:     List[str]			=    '\n'.join(block_lines[line_idx:-1]    )
              a__						:     Tuple			=    get_indent(block_lines[1]    )
              # Slit the internal block into blocks of indent level 1.
              a__						:     Optional[int]			=    split_code_in_indented_blocks(A__		,				indent_level=A__    )
              # We have two categories of import key: list or _import_structure[key].append/extend
              a__						:     List[str]			=    _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[int]			=    [(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.
              a__						:     Tuple			=    [(i, key) for i, key in enumerate(A__    ) if key is not None]
              a__						:     int			=    [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.
              a__						:     Optional[int]			=    0
              a__						:     Tuple			=    []
              for i in range(len(A__    )    ):
                     if keys[i] is None:
                            reorderded_blocks.append(internal_blocks[i]    )
                     else:
                            a__						:     int			=    sort_objects_in_import(internal_blocks[sorted_indices[count]]    )
                            reorderded_blocks.append(A__    )
                            count += 1

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

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



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


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

    sort_imports_in_all_inits(check_only=args.check_only)









import unittest

from transformers import is_tf_available
from transformers.testing_utils import require_tf


if is_tf_available():
    import tensorflow as tf
    from tensorflow.python.eager import context
    from tensorflow.python.framework import ops

    from transformers import GradientAccumulator, create_optimizer





@require_tf
class 			A__   (							unittest.TestCase     ):




   """simple docstring"""



   def 							__lowercase		( self ,  lowercase ,  lowercase ,  lowercase)      ->						List[str]:







          '''simple docstring'''

          self.assertEqual(len(lowercase) ,  len(lowercase))
          for a, b in zip(lowercase ,  lowercase):
                 self.assertAlmostEqual(lowercase ,  lowercase ,  delta=lowercase)

   def 							__lowercase		( self)      ->						Any:







          '''simple docstring'''

          a__						:     Tuple			=    GradientAccumulator()
          accumulator([tf.constant([1.0, 2.0])])
          accumulator([tf.constant([-2.0, 1.0])])
          accumulator([tf.constant([-1.0, 2.0])])
          with self.assertRaises(lowercase):
                 accumulator([tf.constant([1.0, 1.0]), tf.constant([2.0, 2.0])])
          self.assertEqual(accumulator.step ,  3)
          self.assertEqual(len(accumulator.gradients) ,  1)
          self.assertListAlmostEqual(accumulator.gradients[0].numpy().tolist() ,  [-2.0, 5.0] ,  tol=1e-2)
          accumulator.reset()
          self.assertEqual(accumulator.step ,  0)
          self.assertListAlmostEqual(accumulator.gradients[0].numpy().tolist() ,  [0.0, 0.0] ,  tol=1e-2)

   def 							__lowercase		( self)      ->						List[Any]:







          '''simple docstring'''

          a__						:     Tuple			=    None
          ops.enable_eager_execution_internal()
          a__						:     Optional[int]			=    tf.config.list_physical_devices('CPU')
          if len(lowercase) == 1:
                 tf.config.set_logical_device_configuration(
                     physical_devices[0] ,  [tf.config.LogicalDeviceConfiguration(), tf.config.LogicalDeviceConfiguration()])
          a__						:     int			=    tf.config.list_logical_devices(device_type='CPU')
          a__						:     Union[str, Any]			=    tf.distribute.MirroredStrategy(devices=devices[:2])

          with strategy.scope():
                 a__						:     str			=    GradientAccumulator()
                 a__						:     Tuple			=    tf.Variable([4.0, 3.0])
                 a__			,							a__						:     Tuple			=    create_optimizer(5e-5 ,  10 ,  5)
                 a__						:     Tuple			=    tf.Variable([0.0, 0.0] ,  trainable=lowercase)

          def accumulate_on_replica(lowercase):
                 accumulator([gradient])

          def apply_on_replica():
                 optimizer.apply_gradients(list(zip(accumulator.gradients ,  [variable])))

          @tf.function
          def accumulate(lowercase ,  lowercase):
                 with strategy.scope():
                        a__						:     Union[str, Any]			=    strategy.experimental_local_results(lowercase)
                        local_variables[0].assign(lowercase)
                        local_variables[1].assign(lowercase)
                        strategy.run(lowercase ,  args=(gradient_placeholder,))

          @tf.function
          def apply_grad():
                 with strategy.scope():
                        strategy.run(lowercase)

          def _check_local_values(lowercase ,  lowercase):
                 a__						:     Union[str, Any]			=    strategy.experimental_local_results(accumulator._gradients[0])
                 self.assertListAlmostEqual(values[0].value() ,  lowercase ,  tol=1e-2)
                 self.assertListAlmostEqual(values[1].value() ,  lowercase ,  tol=1e-2)

          accumulate([1.0, 2.0] ,  [-1.0, 1.0])
          accumulate([3.0, -1.0] ,  [-1.0, -1.0])
          accumulate([-2.0, 2.0] ,  [3.0, -2.0])
          self.assertEqual(accumulator.step ,  3)
          _check_local_values([2.0, 3.0] ,  [1.0, -2.0])
          apply_grad()
          self.assertListAlmostEqual(variable.value() ,  [4.0, 3.0] ,  tol=1e-2)
          accumulator.reset()
          self.assertEqual(accumulator.step ,  0)
          _check_local_values([0.0, 0.0] ,  [0.0, 0.0])


