




from __future__ import annotations

from collections.abc import MutableSequence
class     a__					:






						def __init__(     self	,    _A	,    _A    ):




											"""simple docstring"""



											if len(_A    ) != degree + 1:
																raise ValueError(
																    "The number of coefficients should be equal to the degree + 1."    )

											__lowerCAmelCase            = list(_A    )
											__lowerCAmelCase            = degree






						def __add__(     self	,    _A    ):




											"""simple docstring"""



											if self.degree > polynomial_a.degree:
																__lowerCAmelCase            = self.coefficients[:]
																for i in range(polynomial_a.degree + 1    ):
																					coefficients[i] += polynomial_a.coefficients[i]
																return Polynomial(self.degree	,    _A    )
											else:
																__lowerCAmelCase            = polynomial_a.coefficients[:]
																for i in range(self.degree + 1    ):
																					coefficients[i] += self.coefficients[i]
																return Polynomial(polynomial_a.degree	,    _A    )






						def __sub__(     self	,    _A    ):




											"""simple docstring"""



											return self + polynomial_a * Polynomial(0	,    [-1]    )






						def __neg__(     self    ):




											"""simple docstring"""



											return Polynomial(self.degree	,    [-c for c in self.coefficients]    )






						def __mul__(     self	,    _A    ):




											"""simple docstring"""



											__lowerCAmelCase            = [0] * (self.degree + polynomial_a.degree + 1)
											for i in range(self.degree + 1    ):
																for j in range(polynomial_a.degree + 1    ):
																					coefficients[i + j] += (
																					    self.coefficients[i] * polynomial_a.coefficients[j]
																					)

											return Polynomial(self.degree + polynomial_a.degree	,    _A    )






						def        __SCREAMING_SNAKE_CASE(     self	,    _A    ):




											"""simple docstring"""



											__lowerCAmelCase            = 0
											for i in range(self.degree + 1    ):
																result += self.coefficients[i] * (substitution**i)
											return result






						def __str__(     self    ):




											"""simple docstring"""



											__lowerCAmelCase            = ""
											for i in range(self.degree	,    -1	,    -1    ):
																if self.coefficients[i] == 0:
																					continue
																elif self.coefficients[i] > 0:
																					if polynomial:
																										polynomial += " + "
																else:
																					polynomial += " - "

																if i == 0:
																					polynomial += str(abs(self.coefficients[i]    )    )
																elif i == 1:
																					polynomial += str(abs(self.coefficients[i]    )    ) + "x"
																else:
																					polynomial += str(abs(self.coefficients[i]    )    ) + "x^" + str(_A    )

											return polynomial






						def __repr__(     self    ):




											"""simple docstring"""



											return self.__str__()






						def        __SCREAMING_SNAKE_CASE(     self    ):




											"""simple docstring"""



											__lowerCAmelCase            = [0] * self.degree
											for i in range(self.degree    ):
																__lowerCAmelCase            = self.coefficients[i + 1] * (i + 1)
											return Polynomial(self.degree - 1	,    _A    )






						def        __SCREAMING_SNAKE_CASE(     self	,    _A = 0    ):




											"""simple docstring"""



											__lowerCAmelCase            = [0] * (self.degree + 2)
											__lowerCAmelCase            = constant
											for i in range(self.degree + 1    ):
																__lowerCAmelCase            = self.coefficients[i] / (i + 1)
											return Polynomial(self.degree + 1	,    _A    )






						def __eq__(     self	,    _A    ):




											"""simple docstring"""



											if not isinstance(_A	,    _A    ):
																return False

											if self.degree != polynomial_a.degree:
																return False

											for i in range(self.degree + 1    ):
																if self.coefficients[i] != polynomial_a.coefficients[i]:
																					return False

											return True






						def __ne__(     self	,    _A    ):




											"""simple docstring"""



											return not self.__eq__(_A    )










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

UpperCamelCase__					    =    logging.get_logger(__name__)
@add_end_docstrings(snake_case__   )
class     a__					(      snake_case__   ):






						def __init__(     self	,    *_A	,    **_A    ):




											"""simple docstring"""



											super().__init__(*_A	,    **_A    )
											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        __SCREAMING_SNAKE_CASE(     self	,    _A=None    ):




											"""simple docstring"""



											__lowerCAmelCase            = {}
											if top_k is not None:
																__lowerCAmelCase            = top_k
											return {}, {}, postprocess_params






						def __call__(     self	,    _A	,    **_A    ):




											"""simple docstring"""



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






						def        __SCREAMING_SNAKE_CASE(     self	,    _A    ):




											"""simple docstring"""



											__lowerCAmelCase            = load_image(_A    )
											__lowerCAmelCase            = self.image_processor(images=_A	,    return_tensors=self.framework    )
											return model_inputs






						def        __SCREAMING_SNAKE_CASE(     self	,    _A    ):




											"""simple docstring"""



											__lowerCAmelCase            = self.model(**_A    )
											return model_outputs






						def        __SCREAMING_SNAKE_CASE(     self	,    _A	,    _A=5    ):




											"""simple docstring"""



											if top_k > self.model.config.num_labels:
																__lowerCAmelCase            = self.model.config.num_labels

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

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




