






from collections import deque


def   lowerCamelCase__			(     lowercase				):

  """simple docstring"""






  SCREAMING_SNAKE_CASE       :      Dict							=    len(lowercase				)
  SCREAMING_SNAKE_CASE       :      Any							=    deque()
  SCREAMING_SNAKE_CASE       :      List[Any]							=    [False for _ in range(lowercase				)]
  SCREAMING_SNAKE_CASE       :      Any							=    [-1 for _ in range(lowercase				)]
  SCREAMING_SNAKE_CASE       :      Optional[int]							=    index_of[:]

  def strong_connect(lowercase						,     lowercase						,     lowercase				):
    SCREAMING_SNAKE_CASE       :      str							=    index  # the number when this node is seen
    SCREAMING_SNAKE_CASE       :      Optional[int]							=    index  # lowest rank node reachable from here
    index += 1
    stack.append(lowercase				)
    SCREAMING_SNAKE_CASE       :      Any							=    True

    for w in g[v]:
      if index_of[w] == -1:
        SCREAMING_SNAKE_CASE       :      Union[str, Any]							=    strong_connect(lowercase						,     lowercase						,     lowercase				)
        SCREAMING_SNAKE_CASE       :      List[str]							=    (
            lowlink_of[w] if lowlink_of[w] < lowlink_of[v] else lowlink_of[v]
        )
      elif on_stack[w]:
        SCREAMING_SNAKE_CASE       :      Any							=    (
            lowlink_of[w] if lowlink_of[w] < lowlink_of[v] else lowlink_of[v]
        )

    if lowlink_of[v] == index_of[v]:
      SCREAMING_SNAKE_CASE       :      Any							=    []
      SCREAMING_SNAKE_CASE       :      int							=    stack.pop()
      SCREAMING_SNAKE_CASE       :      List[str]							=    False
      component.append(lowercase				)
      while w != v:
        SCREAMING_SNAKE_CASE       :      Tuple							=    stack.pop()
        SCREAMING_SNAKE_CASE       :      List[str]							=    False
        component.append(lowercase				)
      components.append(lowercase				)
    return index

  SCREAMING_SNAKE_CASE       :      Optional[int]							=    []
  for v in range(lowercase				):
    if index_of[v] == -1:
      strong_connect(lowercase						,     0						,     lowercase				)

  return components


def   lowerCamelCase__			(     lowercase						,     lowercase				):

  """simple docstring"""






  SCREAMING_SNAKE_CASE       :      str							=    [[] for _ in range(lowercase				)]
  for u, v in edges:
    g[u].append(lowercase				)
  return g


if __name__ == "__main__":
    # Test
    snake_case    				=		7
    snake_case    				=		[0, 0, 1, 2, 3, 3, 4, 4, 6]
    snake_case    				=		[1, 3, 2, 0, 1, 4, 5, 6, 5]
    snake_case    				=		[(u, v) for u, v in zip(source, target)]
    snake_case    				=		create_graph(n_vertices, edges)

    assert [[5], [6], [4], [3, 2, 1, 0]] == tarjan(g)














# Copyright 2022 The HuggingFace Team and The OpenBMB 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

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


snake_case    				=		{
    """configuration_cpmant""": ["""CPMANT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """CpmAntConfig"""],
    """tokenization_cpmant""": ["""CpmAntTokenizer"""],
}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   snake_case    				=		[
       """CPMANT_PRETRAINED_MODEL_ARCHIVE_LIST""",
       """CpmAntForCausalLM""",
       """CpmAntModel""",
       """CpmAntPreTrainedModel""",
   ]


if TYPE_CHECKING:
   from .configuration_cpmant import CPMANT_PRETRAINED_CONFIG_ARCHIVE_MAP, CpmAntConfig
   from .tokenization_cpmant import CpmAntTokenizer

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_cpmant import (
          CPMANT_PRETRAINED_MODEL_ARCHIVE_LIST,
          CpmAntForCausalLM,
          CpmAntModel,
          CpmAntPreTrainedModel,
      )


else:
   import sys

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






