



from __future__ import annotations

from collections.abc import Sequence
from typing import Literal




def 	UpperCAmelCase   (						_lowerCamelCase ,    _lowerCamelCase    ):
			A							:					Dict              =						list(_lowerCamelCase    )
			A							:					Optional[Any]              =						list(_lowerCamelCase    )
			A							:					Optional[Any]              =						0
			for i in range(len(_lowerCamelCase    )    ):
						if lista[i] != lista[i]:
									count += 1
									A							:					Optional[int]              =						"_"
			if count > 1:
						return False
			else:
						return "".join(_lowerCamelCase    )




def 	UpperCAmelCase   (						_lowerCamelCase    ):
			A							:					List[str]              =						[]
			while True:
						A							:					int              =						["$"] * len(_lowerCamelCase    )
						A							:					List[str]              =						[]
						for i in range(len(_lowerCamelCase    )    ):
									for j in range(i + 1 ,    len(_lowerCamelCase    )    ):
												A							:					List[str]              =						compare_string(binary[i] ,    binary[j]    )
												if k is False:
															A							:					List[Any]              =						"*"
															A							:					int              =						"*"
															temp.append("X"    )
						for i in range(len(_lowerCamelCase    )    ):
									if checka[i] == "$":
												pi.append(binary[i]    )
						if len(_lowerCamelCase    ) == 0:
									return pi
						A							:					List[Any]              =						list(set(_lowerCamelCase    )    )




def 	UpperCAmelCase   (						_lowerCamelCase ,    _lowerCamelCase    ):
			A							:					List[str]              =						[]
			for minterm in minterms:
						A							:					Optional[Any]              =						""
						for _ in range(_lowerCamelCase    ):
									A							:					int              =						str(minterm % 2    ) + string
									minterm //= 2
						temp.append(_lowerCamelCase    )
			return temp




def 	UpperCAmelCase   (						_lowerCamelCase ,    _lowerCamelCase ,    _lowerCamelCase    ):
			A							:					int              =						list(_lowerCamelCase    )
			A							:					Tuple              =						list(_lowerCamelCase    )
			A							:					str              =						0
			for i in range(len(_lowerCamelCase    )    ):
						if lista[i] != lista[i]:
									count_n += 1
			return count_n == count




def 	UpperCAmelCase   (						_lowerCamelCase ,    _lowerCamelCase    ):
			A							:					List[Any]              =						[]
			A							:					str              =						[0] * len(_lowerCamelCase    )
			for i in range(len(chart[0]    )    ):
						A							:					int              =						0
						A							:					Optional[int]              =						-1
						for j in range(len(_lowerCamelCase    )    ):
									if chart[j][i] == 1:
												count += 1
												A							:					Optional[Any]              =						j
						if count == 1:
									A							:					int              =						1
			for i in range(len(_lowerCamelCase    )    ):
						if select[i] == 1:
									for j in range(len(chart[0]    )    ):
												if chart[i][j] == 1:
															for k in range(len(_lowerCamelCase    )    ):
																		A							:					Optional[int]              =						0
									temp.append(prime_implicants[i]    )
			while True:
						A							:					Any              =						0
						A							:					Optional[Any]              =						-1
						A							:					Tuple              =						0
						for i in range(len(_lowerCamelCase    )    ):
									A							:					Dict              =						chart[i].count(1    )
									if count_n > max_n:
												A							:					int              =						count_n
												A							:					Dict              =						i

						if max_n == 0:
									return temp

						temp.append(prime_implicants[rem]    )

						for i in range(len(chart[0]    )    ):
									if chart[rem][i] == 1:
												for j in range(len(_lowerCamelCase    )    ):
															A							:					List[str]              =						0




def 	UpperCAmelCase   (						_lowerCamelCase ,    _lowerCamelCase    ):
			A							:					List[str]              =						[[0 for x in range(len(_lowerCamelCase    )    )] for x in range(len(_lowerCamelCase    )    )]
			for i in range(len(_lowerCamelCase    )    ):
						A							:					int              =						prime_implicants[i].count("_"    )
						for j in range(len(_lowerCamelCase    )    ):
									if is_for_table(prime_implicants[i] ,    binary[j] ,    _lowerCamelCase    ):
												A							:					Optional[Any]              =						1

			return chart




def 	UpperCAmelCase   (						):
			A							:					Optional[Any]              =						int(input("Enter the no. of variables\n"    )    )
			A							:					int              =						[
			    float(_lowerCamelCase    )
			    for x in input(
			        "Enter the decimal representation of Minterms 'Spaces Separated'\n"    ).split()
			]
			A							:					Optional[int]              =						decimal_to_binary(_lowerCamelCase ,    _lowerCamelCase    )

			A							:					int              =						check(_lowerCamelCase    )
			print("Prime Implicants are:"    )
			print(_lowerCamelCase    )
			A							:					Optional[int]              =						prime_implicant_chart(_lowerCamelCase ,    _lowerCamelCase    )

			A							:					Optional[int]              =						selection(_lowerCamelCase ,    _lowerCamelCase    )
			print("Essential Prime Implicants are:"    )
			print(_lowerCamelCase    )


if __name__ == "__main__":
							import doctest

							doctest.testmod()
							main()




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__SCREAMING_SNAKE_CASE           =  {
    """configuration_instructblip""": [
        """INSTRUCTBLIP_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """InstructBlipConfig""",
        """InstructBlipQFormerConfig""",
        """InstructBlipVisionConfig""",
    ],
    """processing_instructblip""": ["""InstructBlipProcessor"""],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__SCREAMING_SNAKE_CASE           =  [
							    """INSTRUCTBLIP_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """InstructBlipQFormerModel""",
							    """InstructBlipPreTrainedModel""",
							    """InstructBlipForConditionalGeneration""",
							    """InstructBlipVisionModel""",
							]

if TYPE_CHECKING:
							from .configuration_instructblip import (
							    INSTRUCTBLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
							    InstructBlipConfig,
							    InstructBlipQFormerConfig,
							    InstructBlipVisionConfig,
							)
							from .processing_instructblip import InstructBlipProcessor

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_instructblip import (
														    INSTRUCTBLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
														    InstructBlipForConditionalGeneration,
														    InstructBlipPreTrainedModel,
														    InstructBlipQFormerModel,
														    InstructBlipVisionModel,
														)

else:
							import sys

							__SCREAMING_SNAKE_CASE           =  _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)