




'''simple docstring'''




import functools
from typing import Any

def       _UpperCamelCase					( SCREAMING_SNAKE_CASE__	:					str				,  SCREAMING_SNAKE_CASE__	:					list[str]				):
 '''simple docstring'''





 if not isinstance(__lowerCAmelCase				,  __lowerCAmelCase				) or len(__lowerCAmelCase				) == 0:
  raise ValueError("""the string should be not empty string"""				)

 if not isinstance(__lowerCAmelCase				,  __lowerCAmelCase				) or not all(
     isinstance(__lowerCAmelCase				,  __lowerCAmelCase				) and len(__lowerCAmelCase				) > 0 for item in words				):
  raise ValueError("""the words should be a list of non-empty strings"""				)

 # Build trie
 UpperCAmelCase__								=			{}
 UpperCAmelCase__								=			"""WORD_KEEPER"""

 for word in words:
  UpperCAmelCase__								=			trie
  for c in word:
   if c not in trie_node:
    UpperCAmelCase__								=			{}

   UpperCAmelCase__								=			trie_node[c]

  UpperCAmelCase__								=			True

 UpperCAmelCase__								=			len(__lowerCAmelCase				)

 # Dynamic programming method
 @functools.cache
 def is_breakable(SCREAMING_SNAKE_CASE__	:					int				) -> bool:
  if index == len_string:
   return True

  UpperCAmelCase__								=			trie
  for i in range(__lowerCAmelCase				,  __lowerCAmelCase				):
   UpperCAmelCase__								=			trie_node.get(string[i]				,  __lowerCAmelCase				)

   if trie_node is None:
    return False

   if trie_node.get(__lowerCAmelCase				,  __lowerCAmelCase				) and is_breakable(i + 1				):
    return True

  return False

 return is_breakable(0				)


if __name__ == "__main__":
    import doctest

    doctest.testmod()


from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tf_available,
    is_torch_available,
    is_vision_available,
)


SCREAMING_SNAKE_CASE__   :			List[str]												=    {
    "configuration_blip": [
        "BLIP_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "BlipConfig",
        "BlipTextConfig",
        "BlipVisionConfig",
    ],
    "processing_blip": ["BlipProcessor"],
}

try:
					if not is_vision_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					SCREAMING_SNAKE_CASE__   :			str												=    ["BlipImageProcessor"]


try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					SCREAMING_SNAKE_CASE__   :			int												=    [
					    "BLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
					    "BlipModel",
					    "BlipPreTrainedModel",
					    "BlipForConditionalGeneration",
					    "BlipForQuestionAnswering",
					    "BlipVisionModel",
					    "BlipTextModel",
					    "BlipForImageTextRetrieval",
					]

try:
					if not is_tf_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					SCREAMING_SNAKE_CASE__   :			Any												=    [
					    "TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
					    "TFBlipModel",
					    "TFBlipPreTrainedModel",
					    "TFBlipForConditionalGeneration",
					    "TFBlipForQuestionAnswering",
					    "TFBlipVisionModel",
					    "TFBlipTextModel",
					    "TFBlipForImageTextRetrieval",
					]

if TYPE_CHECKING:
					from .configuration_blip import BLIP_PRETRAINED_CONFIG_ARCHIVE_MAP, BlipConfig, BlipTextConfig, BlipVisionConfig
					from .processing_blip import BlipProcessor

					try:
										if not is_vision_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .image_processing_blip import BlipImageProcessor

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_blip import (
										    BLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
										    BlipForConditionalGeneration,
										    BlipForImageTextRetrieval,
										    BlipForQuestionAnswering,
										    BlipModel,
										    BlipPreTrainedModel,
										    BlipTextModel,
										    BlipVisionModel,
										)

					try:
										if not is_tf_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_tf_blip import (
										    TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
										    TFBlipForConditionalGeneration,
										    TFBlipForImageTextRetrieval,
										    TFBlipForQuestionAnswering,
										    TFBlipModel,
										    TFBlipPreTrainedModel,
										    TFBlipTextModel,
										    TFBlipVisionModel,
										)

else:
					import sys

					SCREAMING_SNAKE_CASE__   :			Tuple												=    _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)



