


'''simple docstring'''
# Imports
import numpy as np




class 			lowerCamelCase_   :






      def __init__(					self				:    List[str]						,						_A				:    Optional[Any]=None						,						_A				:    List[Any]=None						,						_A				:    Optional[Any]=None						,						_A				:    Optional[int]=None						,						_A				:    List[Any]=None ):


          '''simple docstring'''


          self.set_matricies(red=_A						,						green=_A						,						blue=_A						,						red_edge=_A						,						nir=_A )






      def lowercase_							(					self				:    int						,						_A				:    Dict=None						,						_A				:    List[str]=None						,						_A				:    Optional[Any]=None						,						_A				:    Union[str, Any]=None						,						_A				:    int=None ):


          '''simple docstring'''


          if red is not None:
              UpperCAmelCase__			:		Any													=				red
          if green is not None:
              UpperCAmelCase__			:		Optional[int]													=				green
          if blue is not None:
              UpperCAmelCase__			:		str													=				blue
          if red_edge is not None:
              UpperCAmelCase__			:		Optional[int]													=				red_edge
          if nir is not None:
              UpperCAmelCase__			:		int													=				nir
          return True






      def lowercase_							(					self				:    List[Any]						,						_A				:    List[Any]=""						,						_A				:    Optional[int]=None						,						_A				:    List[Any]=None						,						_A				:    Tuple=None						,						_A				:    Tuple=None						,						_A				:    int=None ):


          '''simple docstring'''


          self.set_matricies(red=_A						,						green=_A						,						blue=_A						,						red_edge=_A						,						nir=_A )
          UpperCAmelCase__			:		Any													=				{
              '''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 lowercase_							(					self				:    Optional[int] ):


          '''simple docstring'''


          return -0.1_8 + (1.1_7 * ((self.nir - self.red) / (self.nir + self.red)))






      def lowercase_							(					self				:    str ):


          '''simple docstring'''


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






      def lowercase_							(					self				:    Dict ):


          '''simple docstring'''


          return self.nir * (self.red / (self.green**2))






      def lowercase_							(					self				:    Optional[int] ):


          '''simple docstring'''


          return (2 * self.green - self.red - self.blue) / (
              2 * self.green + self.red + self.blue
          )






      def lowercase_							(					self				:    Any ):


          '''simple docstring'''


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






      def lowercase_							(					self				:    Union[str, Any] ):


          '''simple docstring'''


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






      def lowercase_							(					self				:    Union[str, Any] ):


          '''simple docstring'''


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






      def lowercase_							(					self				:    List[str] ):


          '''simple docstring'''


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






      def lowercase_							(					self				:    Optional[int] ):


          '''simple docstring'''


          return (self.nir - (self.green + self.blue)) / (
              self.nir + (self.green + self.blue)
          )






      def lowercase_							(					self				:    str ):


          '''simple docstring'''


          return (self.nir - (self.green + self.red)) / (
              self.nir + (self.green + self.red)
          )






      def lowercase_							(					self				:    List[Any] ):


          '''simple docstring'''


          return (self.nir - (self.blue + self.red)) / (self.nir + (self.blue + self.red))






      def lowercase_							(					self				:    List[str] ):


          '''simple docstring'''


          return (self.nir - (self.green + self.red + self.blue)) / (
              self.nir + (self.green + self.red + self.blue)
          )






      def lowercase_							(					self				:    Any						,						_A				:    str=0.0_8						,						_A				:    Any=1.2_2						,						_A				:    Union[str, Any]=0.0_3 ):


          '''simple docstring'''


          return a * (
              (self.nir - a * self.red - b)
              / (a * self.nir + self.red - a * b + x * (1 + a**2))
          )






      def lowercase_							(					self				:    Dict ):


          '''simple docstring'''


          return (0.1 * self.nir - self.blue) / (0.1 * self.nir + self.blue)






      def lowercase_							(					self				:    str ):


          '''simple docstring'''


          return (self.nir / self.green) - 1






      def lowercase_							(					self				:    Optional[Any] ):


          '''simple docstring'''


          return (self.nir / self.redEdge) - 1






      def lowercase_							(					self				:    List[Any] ):


          '''simple docstring'''


          return (self.red - self.blue) / self.red






      def lowercase_							(					self				:    str ):


          '''simple docstring'''


          UpperCAmelCase__			:		int													=				self.ndvi()
          return ((ndvi + 0.5) / (abs(ndvi + 0.5 ))) * (abs(ndvi + 0.5 ) ** (1 / 2))






      def lowercase_							(					self				:    int ):


          '''simple docstring'''


          return self.nir - self.green






      def lowercase_							(					self				:    List[str] ):


          '''simple docstring'''


          return 2.5 * (
              (self.nir - self.red) / (self.nir + 6 * self.red - 7.5 * self.blue + 1)
          )






      def lowercase_							(					self				:    Dict ):


          '''simple docstring'''


          UpperCAmelCase__			:		Optional[int]													=				(2 * (self.nir**2 - self.red**2) + 1.5 * self.nir + 0.5 * self.red) / (
              self.nir + self.red + 0.5
          )
          return n * (1 - 0.2_5 * n) - (self.red - 0.1_2_5) / (1 - self.red)






      def lowercase_							(					self				:    Optional[int]						,						_A				:    int=0.1_6 ):


          '''simple docstring'''


          return (self.nir - self.green) / (self.nir + self.green + y)






      def lowercase_							(					self				:    Tuple						,						_A				:    List[Any]=0.5 ):


          '''simple docstring'''


          return ((self.nir - self.green) / (self.nir + self.green + n)) * (1 + n)






      def lowercase_							(					self				:    Optional[int] ):


          '''simple docstring'''


          return np.arctan(
              ((2 * self.red - self.green - self.blue) / 3_0.5) * (self.green - self.blue) )






      def lowercase_							(					self				:    Tuple						,						_A				:    List[str]=None						,						_A				:    Union[str, Any]=None ):


          '''simple docstring'''


          return (self.nir - b) / (a * self.red)






      def lowercase_							(					self				:    Optional[Any] ):


          '''simple docstring'''


          return (self.nir / ((self.nir + self.red) / 2)) * (self.ndvi() + 1)






      def lowercase_							(					self				:    Optional[int] ):


          '''simple docstring'''


          return (self.red + self.green + self.blue) / 3_0.5






      def lowercase_							(					self				:    Dict ):


          '''simple docstring'''


          return self.nir / self.red






      def lowercase_							(					self				:    Optional[Any] ):


          '''simple docstring'''


          return (self.rvi() - 1) / (self.rvi() + 1)






      def lowercase_							(					self				:    Tuple ):


          '''simple docstring'''


          return (
              (2 * self.nir + 1)
              - ((2 * self.nir + 1) ** 2 - 8 * (self.nir - self.red)) ** (1 / 2)
          ) / 2






      def lowercase_							(					self				:    Optional[Any] ):


          '''simple docstring'''


          return self.green / (self.nir + self.red + self.green)






      def lowercase_							(					self				:    List[Any] ):


          '''simple docstring'''


          return self.nir / (self.nir + self.red + self.green)






      def lowercase_							(					self				:    List[str] ):


          '''simple docstring'''


          return self.red / (self.nir + self.red + self.green)






      def lowercase_							(					self				:    Optional[int] ):


          '''simple docstring'''


          return (self.green - self.red) / (self.green + self.red)






      def lowercase_							(					self				:    Union[str, Any] ):


          '''simple docstring'''


          return (self.red - self.green) / (self.red + self.green)






      def lowercase_							(					self				:    int ):


          '''simple docstring'''


          UpperCAmelCase__			:		Optional[int]													=				np.max([np.max(self.red ), np.max(self.green ), np.max(self.blue )] )
          UpperCAmelCase__			:		int													=				np.min([np.min(self.red ), np.min(self.green ), np.min(self.blue )] )
          return (max_value - min_value) / max_value






      def lowercase_							(					self				:    Dict ):


          '''simple docstring'''


          return (2 * self.red - self.green - self.blue) / (self.green - self.blue)






      def lowercase_							(					self				:    str ):


          '''simple docstring'''


          return self.nir / self.red






      def lowercase_							(					self				:    Union[str, Any] ):


          '''simple docstring'''


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






      def lowercase_							(					self				:    str ):


          '''simple docstring'''


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




'''simple docstring'''
import re

import jax.numpy as jnp
from flax.traverse_util import flatten_dict, unflatten_dict
from jax.random import PRNGKey

from ..utils import logging


UpperCamelCase__    					=      logging.get_logger(__name__)





def 					a__       (					lowerCAmelCase__						)    ->	Optional[Any]:
    UpperCAmelCase__			:		str													=				R'''\w+[.]\d+'''
    UpperCAmelCase__			:		List[Any]													=				re.findall(lowerCAmelCase__  ,					lowerCAmelCase__						)
    for pat in pats:
        UpperCAmelCase__			:		Union[str, Any]													=				key.replace(lowerCAmelCase__  ,					'''_'''.join(pat.split('''.'''						)						)						)
    return key





def 					a__       (					lowerCAmelCase__  ,					lowerCAmelCase__  ,					lowerCAmelCase__						)    ->	Union[str, Any]:
    UpperCAmelCase__			:		Optional[Any]													=				pt_tuple_key[:-1] + ('''scale''',)
    if (
        any('''norm''' in str_ for str_ in pt_tuple_key						)
        and (pt_tuple_key[-1] == "bias")
        and (pt_tuple_key[:-1] + ("bias",) not in random_flax_state_dict)
        and (pt_tuple_key[:-1] + ("scale",) in random_flax_state_dict)
    ):
        UpperCAmelCase__			:		Union[str, Any]													=				pt_tuple_key[:-1] + ('''scale''',)
        return renamed_pt_tuple_key, pt_tensor
    elif pt_tuple_key[-1] in ["weight", "gamma"] and pt_tuple_key[:-1] + ("scale",) in random_flax_state_dict:
        UpperCAmelCase__			:		Optional[int]													=				pt_tuple_key[:-1] + ('''scale''',)
        return renamed_pt_tuple_key, pt_tensor

    # embedding
    if pt_tuple_key[-1] == "weight" and pt_tuple_key[:-1] + ("embedding",) in random_flax_state_dict:
        UpperCAmelCase__			:		str													=				pt_tuple_key[:-1] + ('''embedding''',)
        return renamed_pt_tuple_key, pt_tensor

    # conv layer
    UpperCAmelCase__			:		Optional[Any]													=				pt_tuple_key[:-1] + ('''kernel''',)
    if pt_tuple_key[-1] == "weight" and pt_tensor.ndim == 4:
        UpperCAmelCase__			:		List[Any]													=				pt_tensor.transpose(2  ,					3  ,					1  ,					0						)
        return renamed_pt_tuple_key, pt_tensor

    # linear layer
    UpperCAmelCase__			:		int													=				pt_tuple_key[:-1] + ('''kernel''',)
    if pt_tuple_key[-1] == "weight":
        UpperCAmelCase__			:		Optional[Any]													=				pt_tensor.T
        return renamed_pt_tuple_key, pt_tensor

    # old PyTorch layer norm weight
    UpperCAmelCase__			:		Union[str, Any]													=				pt_tuple_key[:-1] + ('''weight''',)
    if pt_tuple_key[-1] == "gamma":
        return renamed_pt_tuple_key, pt_tensor

    # old PyTorch layer norm bias
    UpperCAmelCase__			:		Optional[Any]													=				pt_tuple_key[:-1] + ('''bias''',)
    if pt_tuple_key[-1] == "beta":
        return renamed_pt_tuple_key, pt_tensor

    return pt_tuple_key, pt_tensor







def 					a__       (					lowerCAmelCase__  ,					lowerCAmelCase__  ,					lowerCAmelCase__=42						)    ->	Tuple:
    # Step 1: Convert pytorch tensor to numpy
    UpperCAmelCase__			:		int													=				{k: v.numpy() for k, v in pt_state_dict.items()}

    # Step 2: Since the model is stateless, get random Flax params
    UpperCAmelCase__			:		Tuple													=				flax_model.init_weights(PRNGKey(lowerCAmelCase__						)						)

    UpperCAmelCase__			:		Optional[Any]													=				flatten_dict(lowerCAmelCase__						)
    UpperCAmelCase__			:		List[str]													=				{}

    # Need to change some parameters name to match Flax names
    for pt_key, pt_tensor in pt_state_dict.items():
        UpperCAmelCase__			:		Optional[int]													=				rename_key(lowerCAmelCase__						)
        UpperCAmelCase__			:		str													=				tuple(renamed_pt_key.split('''.'''						)						)

        # Correctly rename weight parameters
        UpperCAmelCase__						,						UpperCAmelCase__			:		Optional[int]													=				rename_key_and_reshape_tensor(lowerCAmelCase__  ,					lowerCAmelCase__  ,					lowerCAmelCase__						)

        if flax_key in random_flax_state_dict:
            if flax_tensor.shape != random_flax_state_dict[flax_key].shape:
                raise ValueError(
                    F"""PyTorch checkpoint seems to be incorrect. Weight {pt_key} was expected to be of shape """
                    F"""{random_flax_state_dict[flax_key].shape}, but is {flax_tensor.shape}."""						)

        # also add unexpected weight so that warning is thrown
        UpperCAmelCase__			:		List[str]													=				jnp.asarray(lowerCAmelCase__						)

    return unflatten_dict(lowerCAmelCase__						)
