



from typing import TYPE_CHECKING

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


UpperCAmelCase				:							Any								={
    """configuration_dpr""": ["""DPR_PRETRAINED_CONFIG_ARCHIVE_MAP""", """DPRConfig"""],
    """tokenization_dpr""": [
        """DPRContextEncoderTokenizer""",
        """DPRQuestionEncoderTokenizer""",
        """DPRReaderOutput""",
        """DPRReaderTokenizer""",
    ],
}


try:
	if not is_tokenizers_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	UpperCAmelCase				:							str								=[
	    """DPRContextEncoderTokenizerFast""",
	    """DPRQuestionEncoderTokenizerFast""",
	    """DPRReaderTokenizerFast""",
	]

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	UpperCAmelCase				:							Dict								=[
	    """DPR_CONTEXT_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST""",
	    """DPR_QUESTION_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST""",
	    """DPR_READER_PRETRAINED_MODEL_ARCHIVE_LIST""",
	    """DPRContextEncoder""",
	    """DPRPretrainedContextEncoder""",
	    """DPRPreTrainedModel""",
	    """DPRPretrainedQuestionEncoder""",
	    """DPRPretrainedReader""",
	    """DPRQuestionEncoder""",
	    """DPRReader""",
	]

try:
	if not is_tf_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	UpperCAmelCase				:							Optional[int]								=[
	    """TF_DPR_CONTEXT_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST""",
	    """TF_DPR_QUESTION_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST""",
	    """TF_DPR_READER_PRETRAINED_MODEL_ARCHIVE_LIST""",
	    """TFDPRContextEncoder""",
	    """TFDPRPretrainedContextEncoder""",
	    """TFDPRPretrainedQuestionEncoder""",
	    """TFDPRPretrainedReader""",
	    """TFDPRQuestionEncoder""",
	    """TFDPRReader""",
	]


if TYPE_CHECKING:
	from .configuration_dpr import DPR_PRETRAINED_CONFIG_ARCHIVE_MAP, DPRConfig
	from .tokenization_dpr import (
	    DPRContextEncoderTokenizer,
	    DPRQuestionEncoderTokenizer,
	    DPRReaderOutput,
	    DPRReaderTokenizer,
	)

	try:
		if not is_tokenizers_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .tokenization_dpr_fast import (
		    DPRContextEncoderTokenizerFast,
		    DPRQuestionEncoderTokenizerFast,
		    DPRReaderTokenizerFast,
		)

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_dpr import (
		    DPR_CONTEXT_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST,
		    DPR_QUESTION_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST,
		    DPR_READER_PRETRAINED_MODEL_ARCHIVE_LIST,
		    DPRContextEncoder,
		    DPRPretrainedContextEncoder,
		    DPRPreTrainedModel,
		    DPRPretrainedQuestionEncoder,
		    DPRPretrainedReader,
		    DPRQuestionEncoder,
		    DPRReader,
		)

	try:
		if not is_tf_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_tf_dpr import (
		    TF_DPR_CONTEXT_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST,
		    TF_DPR_QUESTION_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST,
		    TF_DPR_READER_PRETRAINED_MODEL_ARCHIVE_LIST,
		    TFDPRContextEncoder,
		    TFDPRPretrainedContextEncoder,
		    TFDPRPretrainedQuestionEncoder,
		    TFDPRPretrainedReader,
		    TFDPRQuestionEncoder,
		    TFDPRReader,
		)

else:
	import sys

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





from __future__ import annotations



def 				_lowerCAmelCase      (_lowerCAmelCase):
					UpperCamelCase_											=				{1}
					UpperCamelCase_											=				[1]
					for _ in range(2				,		depth + 1):
										UpperCamelCase_											=				[*previous_coefficients, 0]
										UpperCamelCase_											=				[0, *previous_coefficients]
										UpperCamelCase_											=				[]
										for x, y in zip(_lowerCAmelCase				,		_lowerCAmelCase):
															coefficients.add(x + y)
															previous_coefficients.append(x + y)
					return coefficients



def 				_lowerCAmelCase      (_lowerCAmelCase):
					UpperCamelCase_											=				set()
					for number in unique_coefficients:
										UpperCamelCase_											=				2
										UpperCamelCase_											=				number
										while divisor**2 <= copy_number:
															UpperCamelCase_											=				0
															while copy_number % divisor == 0:
																				copy_number //= divisor
																				multiplicity += 1
															if multiplicity >= 2:
																				non_squarefrees.add(_lowerCAmelCase)
																				break
															divisor += 1

					return unique_coefficients.difference(_lowerCAmelCase)



def 				_lowerCAmelCase      (_lowerCAmelCase = 51):
					UpperCamelCase_											=				get_pascal_triangle_unique_coefficients(_lowerCAmelCase)
					UpperCamelCase_											=				get_squarefrees(_lowerCAmelCase)
					return sum(_lowerCAmelCase)


if __name__ == "__main__":
	print(F"{solution() = }")
