



import itertools
from dataclasses import dataclass
from typing import Optional

import pyarrow as pa

import datasets
from datasets.table import table_cast


A_		:  Optional[int]										=  datasets.utils.logging.get_logger(__name__)



@dataclass
class 		_lowercase		(							datasets.BuilderConfig						):
   _UpperCAmelCase  						=      None



class 		_lowercase		(							datasets.ArrowBasedBuilder						):
   _UpperCAmelCase  						=      ArrowConfig

   def 		A				(   self      :							Union[str, Any]				)							->					Union[str, Any]:


    """simple docstring"""






    return datasets.DatasetInfo(features=self.config.features				)

   def 		A				(   self      :							str				, __lowerCAmelCase      :							Dict				)							->					Union[str, Any]:


    """simple docstring"""






    if not self.config.data_files:
     raise ValueError(f"""At least one data file must be specified, but got data_files={self.config.data_files}"""				)
    a							=		dl_manager.download_and_extract(self.config.data_files				)
    if isinstance(__lowerCAmelCase				, (str, list, tuple)				):
     a							=		data_files
     if isinstance(__lowerCAmelCase				, __lowerCAmelCase				):
      a							=		[files]
     # Use `dl_manager.iter_files` to skip hidden files in an extracted archive
     a							=		[dl_manager.iter_files(__lowerCAmelCase				) for file in files]
     return [datasets.SplitGenerator(name=datasets.Split.TRAIN				, gen_kwargs={"files": files}				)]
    a							=		[]
    for split_name, files in data_files.items():
     if isinstance(__lowerCAmelCase				, __lowerCAmelCase				):
      a							=		[files]
     # Use `dl_manager.iter_files` to skip hidden files in an extracted archive
     a							=		[dl_manager.iter_files(__lowerCAmelCase				) for file in files]
     # Infer features is they are stoed in the arrow schema
     if self.info.features is None:
      for file in itertools.chain.from_iterable(__lowerCAmelCase				):
       with open(__lowerCAmelCase				, "rb"				) as f:
        a							=		datasets.Features.from_arrow_schema(pa.ipc.open_stream(__lowerCAmelCase				).schema				)
       break
     splits.append(datasets.SplitGenerator(name=__lowerCAmelCase				, gen_kwargs={"files": files}				)				)
    return splits

   def 		A				(   self      :							str				, __lowerCAmelCase      :							pa.Table				)							->					pa.Table:


    """simple docstring"""






    if self.info.features is not None:
     # more expensive cast to support nested features with keys in a different order
     # allows str <-> int/float or str to Audio for example
     a							=		table_cast(__lowerCAmelCase				, self.info.features.arrow_schema				)
    return pa_table




   def 		A				(   self      :							int				, __lowerCAmelCase      :							int				)							->					Optional[Any]:


    """simple docstring"""






    for file_idx, file in enumerate(itertools.chain.from_iterable(__lowerCAmelCase				)				):
     with open(__lowerCAmelCase				, "rb"				) as f:
      try:
       for batch_idx, record_batch in enumerate(pa.ipc.open_stream(__lowerCAmelCase				)				):
        a							=		pa.Table.from_batches([record_batch]				)
        # Uncomment for debugging (will print the Arrow table size and elements)
        # logger.warning(f"pa_table: {pa_table} num rows: {pa_table.num_rows}")
        # logger.warning('\n'.join(str(pa_table.slice(i, 1).to_pydict()) for i in range(pa_table.num_rows)))
        yield f"""{file_idx}_{batch_idx}""", self._cast_table(__lowerCAmelCase				)
      except ValueError as e:
       logger.error(f"""Failed to read file '{file}' with error {type(__lowerCAmelCase				)}: {e}"""				)
       raise






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
