'''simple docstring'''







def  snake_case_		(    __SCREAMING_SNAKE_CASE :			str				,				__SCREAMING_SNAKE_CASE :			int							):



						"""simple docstring"""





						lowercase_     :					Dict													=	word.split()

						def justify(__SCREAMING_SNAKE_CASE :			list				,				__SCREAMING_SNAKE_CASE :			int				,				__SCREAMING_SNAKE_CASE :			int							) -> str:
												lowercase_     :					str													=	max_width - width
												lowercase_     :					List[Any]													=	len(__SCREAMING_SNAKE_CASE							)
												if len(__SCREAMING_SNAKE_CASE							) == 1:
																		# if there is only word in line
																		# just insert overall_spaces_count for the remainder of line
																		return line[0] + " " * overall_spaces_count
												else:
																		lowercase_     :					int													=	words_count - 1
																		# num_spaces_between_words_list[i] : tells you to insert
																		# num_spaces_between_words_list[i] spaces
																		# after word on line[i]
																		lowercase_     :					int													=	spaces_to_insert_between_words * [
																		    overall_spaces_count // spaces_to_insert_between_words
																		]
																		lowercase_     :					int													=	(
																		    overall_spaces_count % spaces_to_insert_between_words
																		)
																		# distribute spaces via round robin to the left words
																		for i in range(__SCREAMING_SNAKE_CASE							):
																								num_spaces_between_words_list[i] += 1
																		lowercase_     :					Union[str, Any]													=	[]
																		for i in range(__SCREAMING_SNAKE_CASE							):
																								# add the word
																								aligned_words_list.append(line[i]							)
																								# add the spaces to insert
																								aligned_words_list.append(num_spaces_between_words_list[i] * ''' '''							)
																		# just add the last word to the sentence
																		aligned_words_list.append(line[-1]							)
																		# join the aligned words list to form a justified line
																		return "".join(__SCREAMING_SNAKE_CASE							)

						lowercase_     :					Optional[Any]													=	[]
						lowercase_     :					list[str]													=	[]
						lowercase_     :					List[str]													=	0
						for word in words:
												if width + len(__SCREAMING_SNAKE_CASE							) + len(__SCREAMING_SNAKE_CASE							) <= max_width:
																		# keep adding words until we can fill out max_width
																		# width = sum of length of all words (without overall_spaces_count)
																		# len(word) = length of current word
																		# len(line) = number of overall_spaces_count to insert between words
																		line.append(__SCREAMING_SNAKE_CASE							)
																		width += len(__SCREAMING_SNAKE_CASE							)
												else:
																		# justify the line and add it to result
																		answer.append(justify(__SCREAMING_SNAKE_CASE				,				__SCREAMING_SNAKE_CASE				,				__SCREAMING_SNAKE_CASE							)							)
																		# reset new line and new width
																		lowercase_     :					int													=	[word], len(__SCREAMING_SNAKE_CASE							)
						lowercase_     :					Union[str, Any]													=	max_width - width - len(__SCREAMING_SNAKE_CASE							)
						answer.append(''' '''.join(__SCREAMING_SNAKE_CASE							) + (remaining_spaces + 1) * ''' '''							)
						return answer


if __name__ == "__main__":
							from doctest import testmod

							testmod()





'''simple docstring'''







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_lowercase			:  List[Any]   							=	{
    "configuration_x_clip": [
        "XCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "XCLIPConfig",
        "XCLIPTextConfig",
        "XCLIPVisionConfig",
    ],
    "processing_x_clip": ["XCLIPProcessor"],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							_lowercase			:  int   							=	[
							    "XCLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
							    "XCLIPModel",
							    "XCLIPPreTrainedModel",
							    "XCLIPTextModel",
							    "XCLIPVisionModel",
							]

if TYPE_CHECKING:
							from .configuration_x_clip import (
							    XCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
							    XCLIPConfig,
							    XCLIPTextConfig,
							    XCLIPVisionConfig,
							)
							from .processing_x_clip import XCLIPProcessor

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_x_clip import (
														    XCLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
														    XCLIPModel,
														    XCLIPPreTrainedModel,
														    XCLIPTextModel,
														    XCLIPVisionModel,
														)

else:
							import sys

							_lowercase			:  List[str]   							=	_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)



