"""simple docstring"""







import numpy as np







class 			UpperCamelCase						:
   def __init__(     self	,__UpperCamelCase=None	,__UpperCamelCase=None	,__UpperCamelCase=None	,__UpperCamelCase=None	,__UpperCamelCase=None     )      -> Tuple:


        '''simple docstring'''


        self.set_matricies(red=lowerCamelCase__	,green=lowerCamelCase__	,blue=lowerCamelCase__	,red_edge=lowerCamelCase__	,nir=lowerCamelCase__     )
   def      _UpperCAmelCase  (     self	,__UpperCamelCase=None	,__UpperCamelCase=None	,__UpperCamelCase=None	,__UpperCamelCase=None	,__UpperCamelCase=None     )      -> Optional[Any]:


        '''simple docstring'''


        if red is not None:
             lowercase_      :							Optional[int]						=      red
        if green is not None:
             lowercase_      :							List[Any]						=      green
        if blue is not None:
             lowercase_      :							Any						=      blue
        if red_edge is not None:
             lowercase_      :							List[str]						=      red_edge
        if nir is not None:
             lowercase_      :							Any						=      nir
        return True
   def      _UpperCAmelCase  (     self	,__UpperCamelCase=""	,__UpperCamelCase=None	,__UpperCamelCase=None	,__UpperCamelCase=None	,__UpperCamelCase=None	,__UpperCamelCase=None     )      -> List[str]:


        '''simple docstring'''


        self.set_matricies(red=lowerCamelCase__	,green=lowerCamelCase__	,blue=lowerCamelCase__	,red_edge=lowerCamelCase__	,nir=lowerCamelCase__     )
        lowercase_      :							List[str]						=      {
            'ARVI2': self.arvaa,
            'CCCI': self.ccci,
            'CVI': self.cvi,
            'GLI': self.gli,
            'NDVI': self.ndvi,
            'BNDVI': self.bndvi,
            'redEdgeNDVI': self.red_edge_ndvi,
            'GNDVI': self.gndvi,
            'GBNDVI': self.gbndvi,
            'GRNDVI': self.grndvi,
            'RBNDVI': self.rbndvi,
            'PNDVI': self.pndvi,
            'ATSAVI': self.atsavi,
            'BWDRVI': self.bwdrvi,
            'CIgreen': self.ci_green,
            'CIrededge': self.ci_rededge,
            'CI': self.ci,
            'CTVI': self.ctvi,
            'GDVI': self.gdvi,
            'EVI': self.evi,
            'GEMI': self.gemi,
            'GOSAVI': self.gosavi,
            'GSAVI': self.gsavi,
            'Hue': self.hue,
            'IVI': self.ivi,
            'IPVI': self.ipvi,
            'I': self.i,
            'RVI': self.rvi,
            'MRVI': self.mrvi,
            'MSAVI': self.m_savi,
            'NormG': self.norm_g,
            'NormNIR': self.norm_nir,
            'NormR': self.norm_r,
            'NGRDI': self.ngrdi,
            'RI': self.ri,
            'S': self.s,
            'IF': self._if,
            'DVI': self.dvi,
            'TVI': self.tvi,
            'NDRE': self.ndre,
        }

        try:
             return funcs[index]()
        except KeyError:
             print('Index not in the list!'     )
             return False
   def      _UpperCAmelCase  (     self     )      -> List[str]:


        '''simple docstring'''


        return -0.18 + (1.17 * ((self.nir - self.red) / (self.nir + self.red)))
   def      _UpperCAmelCase  (     self     )      -> Any:


        '''simple docstring'''


        return ((self.nir - self.redEdge) / (self.nir + self.redEdge)) / (
            (self.nir - self.red) / (self.nir + self.red)
        )
   def      _UpperCAmelCase  (     self     )      -> Optional[Any]:


        '''simple docstring'''


        return self.nir * (self.red / (self.green**2))
   def      _UpperCAmelCase  (     self     )      -> Tuple:


        '''simple docstring'''


        return (2 * self.green - self.red - self.blue) / (
            2 * self.green + self.red + self.blue
        )
   def      _UpperCAmelCase  (     self     )      -> Dict:


        '''simple docstring'''


        return (self.nir - self.red) / (self.nir + self.red)
   def      _UpperCAmelCase  (     self     )      -> Union[str, Any]:


        '''simple docstring'''


        return (self.nir - self.blue) / (self.nir + self.blue)
   def      _UpperCAmelCase  (     self     )      -> List[str]:


        '''simple docstring'''


        return (self.redEdge - self.red) / (self.redEdge + self.red)
   def      _UpperCAmelCase  (     self     )      -> Optional[int]:


        '''simple docstring'''


        return (self.nir - self.green) / (self.nir + self.green)
   def      _UpperCAmelCase  (     self     )      -> str:


        '''simple docstring'''


        return (self.nir - (self.green + self.blue)) / (
            self.nir + (self.green + self.blue)
        )
   def      _UpperCAmelCase  (     self     )      -> Optional[Any]:


        '''simple docstring'''


        return (self.nir - (self.green + self.red)) / (
            self.nir + (self.green + self.red)
        )
   def      _UpperCAmelCase  (     self     )      -> Any:


        '''simple docstring'''


        return (self.nir - (self.blue + self.red)) / (self.nir + (self.blue + self.red))
   def      _UpperCAmelCase  (     self     )      -> Optional[int]:


        '''simple docstring'''


        return (self.nir - (self.green + self.red + self.blue)) / (
            self.nir + (self.green + self.red + self.blue)
        )
   def      _UpperCAmelCase  (     self	,__UpperCamelCase=0.08	,__UpperCamelCase=1.22	,__UpperCamelCase=0.03     )      -> List[Any]:


        '''simple docstring'''


        return a * (
            (self.nir - a * self.red - b)
            / (a * self.nir + self.red - a * b + x * (1 + a**2))
        )
   def      _UpperCAmelCase  (     self     )      -> List[Any]:


        '''simple docstring'''


        return (0.1 * self.nir - self.blue) / (0.1 * self.nir + self.blue)
   def      _UpperCAmelCase  (     self     )      -> Optional[Any]:


        '''simple docstring'''


        return (self.nir / self.green) - 1
   def      _UpperCAmelCase  (     self     )      -> Optional[Any]:


        '''simple docstring'''


        return (self.nir / self.redEdge) - 1
   def      _UpperCAmelCase  (     self     )      -> List[str]:


        '''simple docstring'''


        return (self.red - self.blue) / self.red
   def      _UpperCAmelCase  (     self     )      -> Optional[Any]:


        '''simple docstring'''


        lowercase_      :							str						=      self.ndvi()
        return ((ndvi + 0.5) / (abs(ndvi + 0.5     ))) * (abs(ndvi + 0.5     ) ** (1 / 2))
   def      _UpperCAmelCase  (     self     )      -> List[Any]:


        '''simple docstring'''


        return self.nir - self.green
   def      _UpperCAmelCase  (     self     )      -> Dict:


        '''simple docstring'''


        return 2.5 * (
            (self.nir - self.red) / (self.nir + 6 * self.red - 7.5 * self.blue + 1)
        )
   def      _UpperCAmelCase  (     self     )      -> Any:


        '''simple docstring'''


        lowercase_      :							Union[str, Any]						=      (2 * (self.nir**2 - self.red**2) + 1.5 * self.nir + 0.5 * self.red) / (
            self.nir + self.red + 0.5
        )
        return n * (1 - 0.25 * n) - (self.red - 0.125) / (1 - self.red)
   def      _UpperCAmelCase  (     self	,__UpperCamelCase=0.16     )      -> List[Any]:


        '''simple docstring'''


        return (self.nir - self.green) / (self.nir + self.green + y)
   def      _UpperCAmelCase  (     self	,__UpperCamelCase=0.5     )      -> Union[str, Any]:


        '''simple docstring'''


        return ((self.nir - self.green) / (self.nir + self.green + n)) * (1 + n)
   def      _UpperCAmelCase  (     self     )      -> List[str]:


        '''simple docstring'''


        return np.arctan(
            ((2 * self.red - self.green - self.blue) / 30.5) * (self.green - self.blue)     )
   def      _UpperCAmelCase  (     self	,__UpperCamelCase=None	,__UpperCamelCase=None     )      -> Any:


        '''simple docstring'''


        return (self.nir - b) / (a * self.red)
   def      _UpperCAmelCase  (     self     )      -> Tuple:


        '''simple docstring'''


        return (self.nir / ((self.nir + self.red) / 2)) * (self.ndvi() + 1)
   def      _UpperCAmelCase  (     self     )      -> Dict:


        '''simple docstring'''


        return (self.red + self.green + self.blue) / 30.5
   def      _UpperCAmelCase  (     self     )      -> List[Any]:


        '''simple docstring'''


        return self.nir / self.red
   def      _UpperCAmelCase  (     self     )      -> Union[str, Any]:


        '''simple docstring'''


        return (self.rvi() - 1) / (self.rvi() + 1)
   def      _UpperCAmelCase  (     self     )      -> int:


        '''simple docstring'''


        return (
            (2 * self.nir + 1)
            - ((2 * self.nir + 1) ** 2 - 8 * (self.nir - self.red)) ** (1 / 2)
        ) / 2
   def      _UpperCAmelCase  (     self     )      -> Tuple:


        '''simple docstring'''


        return self.green / (self.nir + self.red + self.green)
   def      _UpperCAmelCase  (     self     )      -> str:


        '''simple docstring'''


        return self.nir / (self.nir + self.red + self.green)
   def      _UpperCAmelCase  (     self     )      -> Any:


        '''simple docstring'''


        return self.red / (self.nir + self.red + self.green)
   def      _UpperCAmelCase  (     self     )      -> Optional[int]:


        '''simple docstring'''


        return (self.green - self.red) / (self.green + self.red)
   def      _UpperCAmelCase  (     self     )      -> List[str]:


        '''simple docstring'''


        return (self.red - self.green) / (self.red + self.green)
   def      _UpperCAmelCase  (     self     )      -> Tuple:


        '''simple docstring'''


        lowercase_      :							Union[str, Any]						=      np.max([np.max(self.red     ), np.max(self.green     ), np.max(self.blue     )]     )
        lowercase_      :							List[str]						=      np.min([np.min(self.red     ), np.min(self.green     ), np.min(self.blue     )]     )
        return (max_value - min_value) / max_value
   def      _UpperCAmelCase  (     self     )      -> Tuple:


        '''simple docstring'''


        return (2 * self.red - self.green - self.blue) / (self.green - self.blue)
   def      _UpperCAmelCase  (     self     )      -> Any:


        '''simple docstring'''


        return self.nir / self.red
   def      _UpperCAmelCase  (     self     )      -> List[Any]:


        '''simple docstring'''


        return (self.ndvi() + 0.5) ** (1 / 2)







   def      _UpperCAmelCase  (     self     )      -> Dict:


        '''simple docstring'''


        return (self.nir - self.redEdge) / (self.nir + self.redEdge)






'''simple docstring'''
from typing import List

import numpy as np






def A__       (	UpperCAmelCase_				):
						_UpperCamelCase   :						Any												=  {key: len(UpperCAmelCase_				) for key, value in gen_kwargs.items() if isinstance(UpperCAmelCase_    ,    UpperCAmelCase_				)}
						if len(set(lists_lengths.values()				)				) > 1:
												raise RuntimeError(
												    (
												        'Sharding is ambiguous for this dataset: '
												        + 'we found several data sources lists of different lengths, and we don\'t know over which list we should parallelize:\n'
												        + '\n'.join(f'\t- key {key} has length {length}' for key, length in lists_lengths.items()				)
												        + '\nTo fix this, check the \'gen_kwargs\' and make sure to use lists only for data sources, '
												        + 'and use tuples otherwise. In the end there should only be one single list, or several lists with the same length.'
												    )				)
						_UpperCamelCase   :						Tuple												=  max(lists_lengths.values()    ,    default=0				)
						return max(1    ,    UpperCAmelCase_				)






def A__       (	UpperCAmelCase_    ,    UpperCAmelCase_				):
						_UpperCamelCase   :						Dict												=  []
						for group_idx in range(UpperCAmelCase_				):
												_UpperCamelCase   :						int												=  num_shards // max_num_jobs + (group_idx < (num_shards % max_num_jobs))
												if num_shards_to_add == 0:
																		break
												_UpperCamelCase   :						Tuple												=  shards_indices_per_group[-1].stop if shards_indices_per_group else 0
												_UpperCamelCase   :						Tuple												=  range(UpperCAmelCase_    ,    start + num_shards_to_add				)
												shards_indices_per_group.append(UpperCAmelCase_				)
						return shards_indices_per_group






def A__       (	UpperCAmelCase_    ,    UpperCAmelCase_				):
						_UpperCamelCase   :						Tuple												=  _number_of_shards_in_gen_kwargs(UpperCAmelCase_				)
						if num_shards == 1:
												return [dict(UpperCAmelCase_				)]
						else:
												_UpperCamelCase   :						str												=  _distribute_shards(num_shards=UpperCAmelCase_    ,    max_num_jobs=UpperCAmelCase_				)
												return [
												    {
												        key: [value[shard_idx] for shard_idx in shard_indices_per_group[group_idx]]
												        if isinstance(UpperCAmelCase_    ,    UpperCAmelCase_				)
												        else value
												        for key, value in gen_kwargs.items()
												    }
												    for group_idx in range(len(UpperCAmelCase_				)				)
												]






def A__       (	UpperCAmelCase_				):
						return {
						    key: [value for gen_kwargs in gen_kwargs_list for value in gen_kwargs[key]]
						    if isinstance(gen_kwargs_list[0][key]    ,    UpperCAmelCase_				)
						    else gen_kwargs_list[0][key]
						    for key in gen_kwargs_list[0]
						}






def A__       (	UpperCAmelCase_    ,    UpperCAmelCase_				):
						_UpperCamelCase   :						int												=  {len(UpperCAmelCase_				) for value in gen_kwargs.values() if isinstance(UpperCAmelCase_    ,    UpperCAmelCase_				)}
						_UpperCamelCase   :						Union[str, Any]												=  {}
						for size in list_sizes:
												_UpperCamelCase   :						str												=  list(range(UpperCAmelCase_				)				)
												rng.shuffle(indices_per_size[size]				)
						# Now let's copy the gen_kwargs and shuffle the lists based on their sizes
						_UpperCamelCase   :						Union[str, Any]												=  dict(UpperCAmelCase_				)
						for key, value in shuffled_kwargs.items():
												if isinstance(UpperCAmelCase_    ,    UpperCAmelCase_				):
																		_UpperCamelCase   :						Dict												=  [value[i] for i in indices_per_size[len(UpperCAmelCase_				)]]
						return shuffled_kwargs


