






'''simple docstring'''



from typing import List, Union

from ..utils import (
    add_end_docstrings,
    is_tf_available,
    is_torch_available,
    is_vision_available,
    logging,
    requires_backends,
)
from .base import PIPELINE_INIT_ARGS, Pipeline


if is_vision_available():
      from PIL import Image

      from ..image_utils import load_image

if is_tf_available():
      import tensorflow as tf

      from ..models.auto.modeling_tf_auto import TF_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING
      from ..tf_utils import stable_softmax

if is_torch_available():
      from ..models.auto.modeling_auto import MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING

SCREAMING_SNAKE_CASE							=						logging.get_logger(__name__)
@add_end_docstrings(__A					)
class UpperCAmelCase_       (     __A					):




      """simple docstring"""




      def __init__(			self      :		Tuple  ,   *UpperCAmelCase      :		int  ,   **UpperCAmelCase      :		Optional[Any]		)	->	Dict:


       '''simple docstring'''

       super().__init__(*UpperCAmelCase  ,   **UpperCAmelCase		)
       requires_backends(self  ,   '''vision'''		)
       self.check_model_type(
           TF_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING
           if self.framework == '''tf'''
           else MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING		)






      def 					A__   (			self      :		str  ,   UpperCAmelCase      :		str=None		)	->	Union[str, Any]:


       '''simple docstring'''

       lowercase       : Dict						={}
       if top_k is not None:
        lowercase       : Union[str, Any]						=top_k
       return {}, {}, postprocess_params






      def __call__(			self      :		str  ,   UpperCAmelCase      :		Union[str, List[str], "Image.Image", List["Image.Image"]]  ,   **UpperCAmelCase      :		str		)	->	Optional[Any]:


       '''simple docstring'''

       return super().__call__(UpperCAmelCase  ,   **UpperCAmelCase		)






      def 					A__   (			self      :		str  ,   UpperCAmelCase      :		Optional[int]		)	->	int:


       '''simple docstring'''

       lowercase       : List[Any]						=load_image(UpperCAmelCase		)
       lowercase       : Optional[Any]						=self.image_processor(images=UpperCAmelCase  ,   return_tensors=self.framework		)
       return model_inputs






      def 					A__   (			self      :		Union[str, Any]  ,   UpperCAmelCase      :		Optional[Any]		)	->	Any:


       '''simple docstring'''

       lowercase       : str						=self.model(**UpperCAmelCase		)
       return model_outputs






      def 					A__   (			self      :		int  ,   UpperCAmelCase      :		Optional[Any]  ,   UpperCAmelCase      :		Any=5		)	->	str:


       '''simple docstring'''

       if top_k > self.model.config.num_labels:
        lowercase       : Any						=self.model.config.num_labels

       if self.framework == "pt":
        lowercase       : Dict						=model_outputs.logits.softmax(-1		)[0]
        lowercase	,		lowercase       : Dict						=probs.topk(UpperCAmelCase		)
       elif self.framework == "tf":
        lowercase       : Tuple						=stable_softmax(model_outputs.logits  ,   axis=-1		)[0]
        lowercase       : Dict						=tf.math.top_k(UpperCAmelCase  ,   k=UpperCAmelCase		)
        lowercase	,		lowercase       : Any						=topk.values.numpy(), topk.indices.numpy()
       else:
        raise ValueError(f'Unsupported framework: {self.framework}'		)

       lowercase       : str						=scores.tolist()
       lowercase       : Dict						=ids.tolist()
       return [{"score": score, "label": self.model.config.idalabel[_id]} for score, _id in zip(UpperCAmelCase  ,   UpperCAmelCase		)]











"""simple docstring"""
from __future__ import annotations

from collections.abc import Sequence
from typing import Literal






def       __UpperCamelCase						(		snake_case__ , snake_case__       ):
	A_		:    Optional[int]						     = list(snake_case__       )
	A_		:    List[Any]						     = list(snake_case__       )
	A_		:    List[str]						     = 0
	for i in range(len(snake_case__       )       ):
		if lista[i] != lista[i]:
			count += 1
			A_		:    Optional[int]						     = """_"""
	if count > 1:
		return False
	else:
		return "".join(snake_case__       )






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






def       __UpperCamelCase						(		snake_case__ , snake_case__       ):
	A_		:    str						     = []
	for minterm in minterms:
		A_		:    Any						     = """"""
		for _ in range(snake_case__       ):
			A_		:    int						     = str(minterm % 2       ) + string
			minterm //= 2
		temp.append(snake_case__       )
	return temp






def       __UpperCamelCase						(		snake_case__ , snake_case__ , snake_case__       ):
	A_		:    str						     = list(snake_case__       )
	A_		:    List[Any]						     = list(snake_case__       )
	A_		:    Optional[Any]						     = 0
	for i in range(len(snake_case__       )       ):
		if lista[i] != lista[i]:
			count_n += 1
	return count_n == count






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






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

	return chart






def       __UpperCamelCase						(		):
	A_		:    Union[str, Any]						     = int(input("""Enter the no. of variables\n"""       )       )
	A_		:    List[Any]						     = [
	    float(snake_case__       )
	    for x in input(
	        """Enter the decimal representation of Minterms 'Spaces Separated'\n"""       ).split()
	]
	A_		:    List[str]						     = decimal_to_binary(snake_case__ , snake_case__       )

	A_		:    str						     = check(snake_case__       )
	print("""Prime Implicants are:"""       )
	print(snake_case__       )
	A_		:    List[str]						     = prime_implicant_chart(snake_case__ , snake_case__       )

	A_		:    int						     = selection(snake_case__ , snake_case__       )
	print("""Essential Prime Implicants are:"""       )
	print(snake_case__       )


if __name__ == "__main__":
							import doctest

							doctest.testmod()
							main()

