


from __future__ import annotations

UpperCAmelCase   :    Optional[Any]     =		8.988e9  # units = N * m^s * C^-2






def 	__lowerCamelCase						(							lowerCamelCase__		:						float  ,							lowerCamelCase__		:						float  ,							lowerCamelCase__		:						float  ,							lowerCamelCase__		:						float      ):





			'''simple docstring'''




			lowerCamelCase    		=  abs(chargea * chargea      )

			if (force, chargea, chargea, distance).count(0      ) != 1:
						raise ValueError("""One and only one argument must be 0"""      )
			if distance < 0:
						raise ValueError("""Distance cannot be negative"""      )
			if force == 0:
						lowerCamelCase    		=  COULOMBS_CONSTANT * charge_product / (distance**2)
						return {"force": force}
			elif chargea == 0:
						lowerCamelCase    		=  abs(lowerCamelCase__      ) * (distance**2) / (COULOMBS_CONSTANT * chargea)
						return {"charge1": chargea}
			elif chargea == 0:
						lowerCamelCase    		=  abs(lowerCamelCase__      ) * (distance**2) / (COULOMBS_CONSTANT * chargea)
						return {"charge2": chargea}
			elif distance == 0:
						lowerCamelCase    		=  (COULOMBS_CONSTANT * charge_product / abs(lowerCamelCase__      )) ** 0.5
						return {"distance": distance}
			raise ValueError("""Exactly one argument must be 0"""      )


if __name__ == "__main__":
		import doctest

		doctest.testmod()





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


UpperCAmelCase   :    Any     =		{
    "configuration_roc_bert": ["ROC_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "RoCBertConfig"],
    "tokenization_roc_bert": ["RoCBertTokenizer"],
}

try:
		if not is_tokenizers_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		pass

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		UpperCAmelCase   :    Union[str, Any]     =		[
		    "ROC_BERT_PRETRAINED_MODEL_ARCHIVE_LIST",
		    "RoCBertForCausalLM",
		    "RoCBertForMaskedLM",
		    "RoCBertForMultipleChoice",
		    "RoCBertForPreTraining",
		    "RoCBertForQuestionAnswering",
		    "RoCBertForSequenceClassification",
		    "RoCBertForTokenClassification",
		    "RoCBertLayer",
		    "RoCBertModel",
		    "RoCBertPreTrainedModel",
		    "load_tf_weights_in_roc_bert",
		]

if TYPE_CHECKING:
		from .configuration_roc_bert import ROC_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP, RoCBertConfig
		from .tokenization_roc_bert import RoCBertTokenizer

		try:
				if not is_tokenizers_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				raise OptionalDependencyNotAvailable()

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_roc_bert import (
				    ROC_BERT_PRETRAINED_MODEL_ARCHIVE_LIST,
				    RoCBertForCausalLM,
				    RoCBertForMaskedLM,
				    RoCBertForMultipleChoice,
				    RoCBertForPreTraining,
				    RoCBertForQuestionAnswering,
				    RoCBertForSequenceClassification,
				    RoCBertForTokenClassification,
				    RoCBertLayer,
				    RoCBertModel,
				    RoCBertPreTrainedModel,
				    load_tf_weights_in_roc_bert,
				)


else:
		import sys

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

