


"""simple docstring"""


from __future__ import annotations



def   snake_case						(				_a:     str		,   _a:     str							)->		bool:
      '''simple docstring'''


      lowerCamelCase__           =		get_failure_array(_a							)

      # 2) Step through text searching for pattern
      lowerCamelCase__    ,  lowerCamelCase__           =		0, 0  # index into text, pattern
      while i < len(_a							):
            if pattern[j] == text[i]:
                  if j == (len(_a							) - 1):
                        return True
                  j += 1

            # if this is a prefix in our pattern
            # just go back far enough to continue
            elif j > 0:
                  lowerCamelCase__           =		failure[j - 1]
                  continue
            i += 1
      return False



def   snake_case						(				_a:     str							)->		list[int]:
      '''simple docstring'''


      lowerCamelCase__           =		[0]
      lowerCamelCase__           =		0
      lowerCamelCase__           =		1
      while j < len(_a							):
            if pattern[i] == pattern[j]:
                  i += 1
            elif i > 0:
                  lowerCamelCase__           =		failure[i - 1]
                  continue
            j += 1
            failure.append(_a							)
      return failure


if __name__ == "__main__":
   # Test 1)
   _snake_case          =							"abc1abc12"
   _snake_case          =							"alskfjaldsabc1abc1abc12k23adsfabcabc"
   _snake_case          =							"alskfjaldsk23adsfabcabc"
   assert kmp(pattern, texta) and not kmp(pattern, texta)

   # Test 2)
   _snake_case          =							"ABABX"
   _snake_case          =							"ABABZABABYABABX"
   assert kmp(pattern, text)

   # Test 3)
   _snake_case          =							"AAAB"
   _snake_case          =							"ABAAAAAB"
   assert kmp(pattern, text)

   # Test 4)
   _snake_case          =							"abcdabcy"
   _snake_case          =							"abcxabcdabxabcdabcdabcy"
   assert kmp(pattern, text)

   # Test 5)
   _snake_case          =							"aabaabaaa"
   assert get_failure_array(pattern) == [0, 1, 0, 1, 2, 3, 4, 5, 2]







"""simple docstring"""


from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


_snake_case          =							{
    "configuration_blenderbot": [
        "BLENDERBOT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "BlenderbotConfig",
        "BlenderbotOnnxConfig",
    ],
    "tokenization_blenderbot": ["BlenderbotTokenizer"],
}

try:
   if not is_tokenizers_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _snake_case          =							["BlenderbotTokenizerFast"]

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _snake_case          =							[
       "BLENDERBOT_PRETRAINED_MODEL_ARCHIVE_LIST",
       "BlenderbotForCausalLM",
       "BlenderbotForConditionalGeneration",
       "BlenderbotModel",
       "BlenderbotPreTrainedModel",
   ]


try:
   if not is_tf_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _snake_case          =							[
       "TFBlenderbotForConditionalGeneration",
       "TFBlenderbotModel",
       "TFBlenderbotPreTrainedModel",
   ]


try:
   if not is_flax_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _snake_case          =							[
       "FlaxBlenderbotForConditionalGeneration",
       "FlaxBlenderbotModel",
       "FlaxBlenderbotPreTrainedModel",
   ]


if TYPE_CHECKING:
   from .configuration_blenderbot import (
       BLENDERBOT_PRETRAINED_CONFIG_ARCHIVE_MAP,
       BlenderbotConfig,
       BlenderbotOnnxConfig,
   )
   from .tokenization_blenderbot import BlenderbotTokenizer

   try:
      if not is_tokenizers_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .tokenization_blenderbot_fast import BlenderbotTokenizerFast

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_blenderbot import (
          BLENDERBOT_PRETRAINED_MODEL_ARCHIVE_LIST,
          BlenderbotForCausalLM,
          BlenderbotForConditionalGeneration,
          BlenderbotModel,
          BlenderbotPreTrainedModel,
      )

   try:
      if not is_tf_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_tf_blenderbot import (
          TFBlenderbotForConditionalGeneration,
          TFBlenderbotModel,
          TFBlenderbotPreTrainedModel,
      )

   try:
      if not is_flax_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_flax_blenderbot import (
          FlaxBlenderbotForConditionalGeneration,
          FlaxBlenderbotModel,
          FlaxBlenderbotPreTrainedModel,
      )

else:
   import sys

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



