


'''simple docstring'''







def 						_UpperCamelCase							( UpperCamelCase__     ,   UpperCamelCase__     ,   UpperCamelCase__		):






				"""simple docstring"""



				if hue < 0 or hue > 360:
								raise Exception("hue should be between 0 and 360"		)

				if saturation < 0 or saturation > 1:
								raise Exception("saturation should be between 0 and 1"		)

				if value < 0 or value > 1:
								raise Exception("value should be between 0 and 1"		)

				__magic_name__				:					Dict						       =       value * saturation
				__magic_name__				:					Dict						       =       hue / 60
				__magic_name__				:					Union[str, Any]						       =       chroma * (1 - abs(hue_section % 2 - 1		))
				__magic_name__				:					int						       =       value - chroma

				if hue_section >= 0 and hue_section <= 1:
								__magic_name__				:					Tuple						       =       round(255 * (chroma + match_value)		)
								__magic_name__				:					Optional[int]						       =       round(255 * (second_largest_component + match_value)		)
								__magic_name__				:					Any						       =       round(255 * (match_value)		)
				elif hue_section > 1 and hue_section <= 2:
								__magic_name__				:					Optional[Any]						       =       round(255 * (second_largest_component + match_value)		)
								__magic_name__				:					Optional[Any]						       =       round(255 * (chroma + match_value)		)
								__magic_name__				:					str						       =       round(255 * (match_value)		)
				elif hue_section > 2 and hue_section <= 3:
								__magic_name__				:					str						       =       round(255 * (match_value)		)
								__magic_name__				:					str						       =       round(255 * (chroma + match_value)		)
								__magic_name__				:					Dict						       =       round(255 * (second_largest_component + match_value)		)
				elif hue_section > 3 and hue_section <= 4:
								__magic_name__				:					Any						       =       round(255 * (match_value)		)
								__magic_name__				:					Optional[Any]						       =       round(255 * (second_largest_component + match_value)		)
								__magic_name__				:					List[Any]						       =       round(255 * (chroma + match_value)		)
				elif hue_section > 4 and hue_section <= 5:
								__magic_name__				:					int						       =       round(255 * (second_largest_component + match_value)		)
								__magic_name__				:					Optional[int]						       =       round(255 * (match_value)		)
								__magic_name__				:					str						       =       round(255 * (chroma + match_value)		)
				else:
								__magic_name__				:					str						       =       round(255 * (chroma + match_value)		)
								__magic_name__				:					Optional[Any]						       =       round(255 * (match_value)		)
								__magic_name__				:					Optional[Any]						       =       round(255 * (second_largest_component + match_value)		)

				return [red, green, blue]



def 						_UpperCamelCase							( UpperCamelCase__     ,   UpperCamelCase__     ,   UpperCamelCase__		):






				"""simple docstring"""



				if red < 0 or red > 255:
								raise Exception("red should be between 0 and 255"		)

				if green < 0 or green > 255:
								raise Exception("green should be between 0 and 255"		)

				if blue < 0 or blue > 255:
								raise Exception("blue should be between 0 and 255"		)

				__magic_name__				:					List[Any]						       =       red / 255
				__magic_name__				:					List[str]						       =       green / 255
				__magic_name__				:					List[str]						       =       blue / 255
				__magic_name__				:					int						       =       max(UpperCamelCase__     ,   UpperCamelCase__     ,   UpperCamelCase__		)
				__magic_name__				:					Dict						       =       value - min(UpperCamelCase__     ,   UpperCamelCase__     ,   UpperCamelCase__		)
				__magic_name__				:					List[str]						       =       0 if value == 0 else chroma / value

				if chroma == 0:
								__magic_name__				:					List[str]						       =       0.0
				elif value == float_red:
								__magic_name__				:					int						       =       60 * (0 + (float_green - float_blue) / chroma)
				elif value == float_green:
								__magic_name__				:					Union[str, Any]						       =       60 * (2 + (float_blue - float_red) / chroma)
				else:
								__magic_name__				:					str						       =       60 * (4 + (float_red - float_green) / chroma)

				__magic_name__				:					int						       =       (hue + 360) % 360

				return [hue, saturation, value]




def 						_UpperCamelCase							( UpperCamelCase__     ,   UpperCamelCase__		):






				"""simple docstring"""



				__magic_name__				:					Optional[Any]						       =       abs(hsv_a[0] - hsv_a[0]		) < 0.2
				__magic_name__				:					Union[str, Any]						       =       abs(hsv_a[1] - hsv_a[1]		) < 0.002
				__magic_name__				:					str						       =       abs(hsv_a[2] - hsv_a[2]		) < 0.002

				return check_hue and check_saturation and check_value



'''simple docstring'''







from typing import TYPE_CHECKING

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


_SCREAMING_SNAKE_CASE       :   Any        = {
    "configuration_deberta_v2": ["DEBERTA_V2_PRETRAINED_CONFIG_ARCHIVE_MAP", "DebertaV2Config", "DebertaV2OnnxConfig"],
    "tokenization_deberta_v2": ["DebertaV2Tokenizer"],
}

try:
		if not is_tokenizers_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		_SCREAMING_SNAKE_CASE       :   List[Any]        = ["DebertaV2TokenizerFast"]

try:
		if not is_tf_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		_SCREAMING_SNAKE_CASE       :   int        = [
		    "TF_DEBERTA_V2_PRETRAINED_MODEL_ARCHIVE_LIST",
		    "TFDebertaV2ForMaskedLM",
		    "TFDebertaV2ForQuestionAnswering",
		    "TFDebertaV2ForSequenceClassification",
		    "TFDebertaV2ForTokenClassification",
		    "TFDebertaV2Model",
		    "TFDebertaV2PreTrainedModel",
		]

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		_SCREAMING_SNAKE_CASE       :   Union[str, Any]        = [
		    "DEBERTA_V2_PRETRAINED_MODEL_ARCHIVE_LIST",
		    "DebertaV2ForMaskedLM",
		    "DebertaV2ForMultipleChoice",
		    "DebertaV2ForQuestionAnswering",
		    "DebertaV2ForSequenceClassification",
		    "DebertaV2ForTokenClassification",
		    "DebertaV2Model",
		    "DebertaV2PreTrainedModel",
		]


if TYPE_CHECKING:
		from .configuration_deberta_va import (
		    DEBERTA_V2_PRETRAINED_CONFIG_ARCHIVE_MAP,
		    DebertaVaConfig,
		    DebertaVaOnnxConfig,
		)
		from .tokenization_deberta_va import DebertaVaTokenizer

		try:
				if not is_tokenizers_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .tokenization_deberta_va_fast import DebertaVaTokenizerFast

		try:
				if not is_tf_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_tf_deberta_va import (
				    TF_DEBERTA_V2_PRETRAINED_MODEL_ARCHIVE_LIST,
				    TFDebertaVaForMaskedLM,
				    TFDebertaVaForQuestionAnswering,
				    TFDebertaVaForSequenceClassification,
				    TFDebertaVaForTokenClassification,
				    TFDebertaVaModel,
				    TFDebertaVaPreTrainedModel,
				)

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_deberta_va import (
				    DEBERTA_V2_PRETRAINED_MODEL_ARCHIVE_LIST,
				    DebertaVaForMaskedLM,
				    DebertaVaForMultipleChoice,
				    DebertaVaForQuestionAnswering,
				    DebertaVaForSequenceClassification,
				    DebertaVaForTokenClassification,
				    DebertaVaModel,
				    DebertaVaPreTrainedModel,
				)

else:
		import sys

		_SCREAMING_SNAKE_CASE       :   Dict        = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)