



import sys
from collections.abc import Mapping

import numpy as np
import pyarrow as pa

from .. import config
from ..utils.py_utils import map_nested
from .formatting import TensorFormatter


class 	snake_case_			(TensorFormatter[Mapping, np.ndarray, Mapping]	):




       """simple docstring"""






       def __init__(  self  ,lowercase=None  ,**lowercase):

             """simple docstring"""





             super().__init__(features=lowercase)
             UpperCAmelCase_	:						Union[str, Any]					   =		np_array_kwargs



       def 			A_ (  self  ,lowercase):

             """simple docstring"""





             if isinstance(lowercase  ,lowercase):
                   if column and all(
                       isinstance(lowercase  ,np.ndarray) and x.shape == column[0].shape and x.dtype == column[0].dtype for x in column):
                         return np.stack(lowercase)
                   else:
                         # don't use np.array(column, dtype=object)
                         # since it fails in certain cases
                         # see https://stackoverflow.com/q/51005699
                         UpperCAmelCase_	:						List[Any]					   =		np.empty(len(lowercase)  ,dtype=lowercase)
                         UpperCAmelCase_	:						int					   =		column
                         return out
             return column



       def 			A_ (  self  ,lowercase):

             """simple docstring"""





             if isinstance(lowercase  ,(str, bytes, type(lowercase))):
                   return value
             elif isinstance(lowercase  ,(np.character, np.ndarray)) and np.issubdtype(value.dtype  ,np.character):
                   return value
             elif isinstance(lowercase  ,np.number):
                   return value

             UpperCAmelCase_	:						Optional[Any]					   =		{}

             if isinstance(lowercase  ,np.ndarray) and np.issubdtype(value.dtype  ,np.integer):
                   UpperCAmelCase_	:						int					   =		{"dtype": np.intaa}
             elif isinstance(lowercase  ,np.ndarray) and np.issubdtype(value.dtype  ,np.floating):
                   UpperCAmelCase_	:						str					   =		{"dtype": np.floataa}
             elif config.PIL_AVAILABLE and "PIL" in sys.modules:
                   import PIL.Image

                   if isinstance(lowercase  ,PIL.Image.Image):
                         return np.asarray(lowercase  ,**self.np_array_kwargs)

             return np.asarray(lowercase  ,**{**default_dtype, **self.np_array_kwargs})



       def 			A_ (  self  ,lowercase):

             """simple docstring"""





             if config.TORCH_AVAILABLE and "torch" in sys.modules:
                   import torch

                   if isinstance(lowercase  ,torch.Tensor):
                         return self._tensorize(data_struct.detach().cpu().numpy()[()])
             if hasattr(lowercase  ,"__array__") and not isinstance(lowercase  ,(np.ndarray, np.character, np.number)):
                   UpperCAmelCase_	:						List[str]					   =		data_struct.__array__()
             # support for nested types like struct of list of struct
             if isinstance(lowercase  ,np.ndarray):
                   if data_struct.dtype == object:
                         return self._consolidate([self.recursive_tensorize(lowercase) for substruct in data_struct])
             if isinstance(lowercase  ,(list, tuple)):
                   return self._consolidate([self.recursive_tensorize(lowercase) for substruct in data_struct])
             return self._tensorize(lowercase)



       def 			A_ (  self  ,lowercase):

             """simple docstring"""





             return map_nested(self._recursive_tensorize  ,lowercase  ,map_list=lowercase)



       def 			A_ (  self  ,lowercase):

             """simple docstring"""





             UpperCAmelCase_	:						Optional[int]					   =		self.numpy_arrow_extractor().extract_row(lowercase)
             UpperCAmelCase_	:						List[Any]					   =		self.python_features_decoder.decode_row(lowercase)
             return self.recursive_tensorize(lowercase)



       def 			A_ (  self  ,lowercase):

             """simple docstring"""





             UpperCAmelCase_	:						Any					   =		self.numpy_arrow_extractor().extract_column(lowercase)
             UpperCAmelCase_	:						Dict					   =		self.python_features_decoder.decode_column(lowercase  ,pa_table.column_names[0])
             UpperCAmelCase_	:						Any					   =		self.recursive_tensorize(lowercase)
             UpperCAmelCase_	:						Union[str, Any]					   =		self._consolidate(lowercase)
             return column



       def 			A_ (  self  ,lowercase):

             """simple docstring"""





             UpperCAmelCase_	:						Optional[int]					   =		self.numpy_arrow_extractor().extract_batch(lowercase)
             UpperCAmelCase_	:						List[str]					   =		self.python_features_decoder.decode_batch(lowercase)
             UpperCAmelCase_	:						Any					   =		self.recursive_tensorize(lowercase)
             for column_name in batch:
                   UpperCAmelCase_	:						Optional[int]					   =		self._consolidate(batch[column_name])
             return batch





def  _snake_case			(							__snake_case       ,	__snake_case       ,	__snake_case     )  ->  list[int]:






      '''simple docstring'''







      if hue < 0 or hue > 3_6_0:
            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"     )

      UpperCAmelCase_	:						Tuple					   =		value * saturation
      UpperCAmelCase_	:						Union[str, Any]					   =		hue / 6_0
      UpperCAmelCase_	:						Tuple					   =		chroma * (1 - abs(hue_section % 2 - 1     ))
      UpperCAmelCase_	:						Tuple					   =		value - chroma

      if hue_section >= 0 and hue_section <= 1:
            UpperCAmelCase_	:						List[str]					   =		round(2_5_5 * (chroma + match_value)     )
            UpperCAmelCase_	:						str					   =		round(2_5_5 * (second_largest_component + match_value)     )
            UpperCAmelCase_	:						int					   =		round(2_5_5 * (match_value)     )
      elif hue_section > 1 and hue_section <= 2:
            UpperCAmelCase_	:						Union[str, Any]					   =		round(2_5_5 * (second_largest_component + match_value)     )
            UpperCAmelCase_	:						Union[str, Any]					   =		round(2_5_5 * (chroma + match_value)     )
            UpperCAmelCase_	:						int					   =		round(2_5_5 * (match_value)     )
      elif hue_section > 2 and hue_section <= 3:
            UpperCAmelCase_	:						List[str]					   =		round(2_5_5 * (match_value)     )
            UpperCAmelCase_	:						Any					   =		round(2_5_5 * (chroma + match_value)     )
            UpperCAmelCase_	:						Optional[int]					   =		round(2_5_5 * (second_largest_component + match_value)     )
      elif hue_section > 3 and hue_section <= 4:
            UpperCAmelCase_	:						str					   =		round(2_5_5 * (match_value)     )
            UpperCAmelCase_	:						Dict					   =		round(2_5_5 * (second_largest_component + match_value)     )
            UpperCAmelCase_	:						Optional[Any]					   =		round(2_5_5 * (chroma + match_value)     )
      elif hue_section > 4 and hue_section <= 5:
            UpperCAmelCase_	:						str					   =		round(2_5_5 * (second_largest_component + match_value)     )
            UpperCAmelCase_	:						Any					   =		round(2_5_5 * (match_value)     )
            UpperCAmelCase_	:						str					   =		round(2_5_5 * (chroma + match_value)     )
      else:
            UpperCAmelCase_	:						Optional[int]					   =		round(2_5_5 * (chroma + match_value)     )
            UpperCAmelCase_	:						Dict					   =		round(2_5_5 * (match_value)     )
            UpperCAmelCase_	:						Optional[int]					   =		round(2_5_5 * (second_largest_component + match_value)     )

      return [red, green, blue]







def  _snake_case			(							__snake_case       ,	__snake_case       ,	__snake_case     )  ->  list[float]:






      '''simple docstring'''







      if red < 0 or red > 2_5_5:
            raise Exception("red should be between 0 and 255"     )

      if green < 0 or green > 2_5_5:
            raise Exception("green should be between 0 and 255"     )

      if blue < 0 or blue > 2_5_5:
            raise Exception("blue should be between 0 and 255"     )

      UpperCAmelCase_	:						str					   =		red / 2_5_5
      UpperCAmelCase_	:						Dict					   =		green / 2_5_5
      UpperCAmelCase_	:						int					   =		blue / 2_5_5
      UpperCAmelCase_	:						Any					   =		max(__snake_case       ,	__snake_case       ,	__snake_case     )
      UpperCAmelCase_	:						Union[str, Any]					   =		value - min(__snake_case       ,	__snake_case       ,	__snake_case     )
      UpperCAmelCase_	:						Optional[Any]					   =		0 if value == 0 else chroma / value

      if chroma == 0:
            UpperCAmelCase_	:						Tuple					   =		0.0
      elif value == float_red:
            UpperCAmelCase_	:						List[str]					   =		6_0 * (0 + (float_green - float_blue) / chroma)
      elif value == float_green:
            UpperCAmelCase_	:						Union[str, Any]					   =		6_0 * (2 + (float_blue - float_red) / chroma)
      else:
            UpperCAmelCase_	:						Dict					   =		6_0 * (4 + (float_red - float_green) / chroma)

      UpperCAmelCase_	:						int					   =		(hue + 3_6_0) % 3_6_0

      return [hue, saturation, value]







def  _snake_case			(							__snake_case       ,	__snake_case     )  ->  bool:






      '''simple docstring'''







      UpperCAmelCase_	:						List[str]					   =		abs(hsv_a[0] - hsv_a[0]     ) < 0.2
      UpperCAmelCase_	:						Optional[Any]					   =		abs(hsv_a[1] - hsv_a[1]     ) < 0.002
      UpperCAmelCase_	:						Tuple					   =		abs(hsv_a[2] - hsv_a[2]     ) < 0.002

      return check_hue and check_saturation and check_value
