


"""simple docstring"""


from __future__ import annotations

# This is the precision for this function which can be altered.
# It is recommended for users to keep this number greater than or equal to 10.
_snake_case          =							10



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


      for i in range(_a		,   _a							):
            if array[i] == target:
                  return i
      return -1



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


      lowerCamelCase__           =		0
      lowerCamelCase__           =		len(_a							)
      while left <= right:
            if right - left < precision:
                  return lin_search(_a		,   _a		,   _a		,   _a							)

            lowerCamelCase__           =		(left + right) // 3 + 1
            lowerCamelCase__           =		2 * (left + right) // 3 + 1

            if array[one_third] == target:
                  return one_third
            elif array[two_third] == target:
                  return two_third

            elif target < array[one_third]:
                  lowerCamelCase__           =		one_third - 1
            elif array[two_third] < target:
                  lowerCamelCase__           =		two_third + 1

            else:
                  lowerCamelCase__           =		one_third + 1
                  lowerCamelCase__           =		two_third - 1
      else:
            return -1



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


      if left < right:
            if right - left < precision:
                  return lin_search(_a		,   _a		,   _a		,   _a							)
            lowerCamelCase__           =		(left + right) // 3 + 1
            lowerCamelCase__           =		2 * (left + right) // 3 + 1

            if array[one_third] == target:
                  return one_third
            elif array[two_third] == target:
                  return two_third

            elif target < array[one_third]:
                  return rec_ternary_search(_a		,   one_third - 1		,   _a		,   _a							)
            elif array[two_third] < target:
                  return rec_ternary_search(two_third + 1		,   _a		,   _a		,   _a							)
            else:
                  return rec_ternary_search(one_third + 1		,   two_third - 1		,   _a		,   _a							)
      else:
            return -1


if __name__ == "__main__":
   import doctest

   doctest.testmod()

   _snake_case          =							input("Enter numbers separated by comma:\n").strip()
   _snake_case          =							[int(item.strip()) for item in user_input.split(",")]
   assert collection == sorted(collection), f"List must be ordered.\n{collection}."
   _snake_case          =							int(input("Enter the number to be found in the list:\n").strip())
   _snake_case          =							ite_ternary_search(collection, target)
   _snake_case          =							rec_ternary_search(0, len(collection) - 1, collection, target)
   if resulta != -1:
      print(f"""Iterative search: {target} found at positions: {resulta}""")
      print(f"""Recursive search: {target} found at positions: {resulta}""")
   else:
      print("Not found")







"""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__)



