





'''simple docstring'''

# Imports
import numpy as np







class __a			:





   def __init__(       self					:      Any					,lowerCamelCase					:      int=None					,lowerCamelCase					:      List[str]=None					,lowerCamelCase					:      Tuple=None					,lowerCamelCase					:      Tuple=None					,lowerCamelCase					:      str=None     ):

      '''simple docstring'''

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





   def   UpperCAmelCase__  (       self					:      Dict					,lowerCamelCase					:      int=None					,lowerCamelCase					:      Optional[Any]=None					,lowerCamelCase					:      Tuple=None					,lowerCamelCase					:      Tuple=None					,lowerCamelCase					:      str=None     ):

      '''simple docstring'''

      if red is not None:
         __SCREAMING_SNAKE_CASE   				=							red
      if green is not None:
         __SCREAMING_SNAKE_CASE   				=							green
      if blue is not None:
         __SCREAMING_SNAKE_CASE   				=							blue
      if red_edge is not None:
         __SCREAMING_SNAKE_CASE   				=							red_edge
      if nir is not None:
         __SCREAMING_SNAKE_CASE   				=							nir
      return True





   def   UpperCAmelCase__  (       self					:      List[Any]					,lowerCamelCase					:      str=""					,lowerCamelCase					:      List[Any]=None					,lowerCamelCase					:      Any=None					,lowerCamelCase					:      int=None					,lowerCamelCase					:      List[Any]=None					,lowerCamelCase					:      Union[str, Any]=None     ):

      '''simple docstring'''

      self.set_matricies(red=lowerCamelCase					,green=lowerCamelCase					,blue=lowerCamelCase					,red_edge=lowerCamelCase					,nir=lowerCamelCase     )
      __SCREAMING_SNAKE_CASE   				=							{
          """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					:      Optional[Any]     ):

      '''simple docstring'''

      return -0.18 + (1.17 * ((self.nir - self.red) / (self.nir + self.red)))





   def   UpperCAmelCase__  (       self					:      List[Any]     ):

      '''simple docstring'''

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





   def   UpperCAmelCase__  (       self					:      int     ):

      '''simple docstring'''

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





   def   UpperCAmelCase__  (       self					:      Optional[int]     ):

      '''simple docstring'''

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





   def   UpperCAmelCase__  (       self					:      str     ):

      '''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					:      int     ):

      '''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					:      Union[str, Any]     ):

      '''simple docstring'''

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





   def   UpperCAmelCase__  (       self					:      Any     ):

      '''simple docstring'''

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





   def   UpperCAmelCase__  (       self					:      str     ):

      '''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					:      Tuple					,lowerCamelCase					:      Tuple=0.08					,lowerCamelCase					:      Any=1.22					,lowerCamelCase					:      Union[str, Any]=0.03     ):

      '''simple docstring'''

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





   def   UpperCAmelCase__  (       self					:      Optional[Any]     ):

      '''simple docstring'''

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





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

      '''simple docstring'''

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





   def   UpperCAmelCase__  (       self					:      List[Any]     ):

      '''simple docstring'''

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





   def   UpperCAmelCase__  (       self					:      Optional[Any]     ):

      '''simple docstring'''

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





   def   UpperCAmelCase__  (       self					:      str     ):

      '''simple docstring'''

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





   def   UpperCAmelCase__  (       self					:      Optional[int]     ):

      '''simple docstring'''

      return self.nir - self.green





   def   UpperCAmelCase__  (       self					:      Tuple     ):

      '''simple docstring'''

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





   def   UpperCAmelCase__  (       self					:      str     ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE   				=							(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					:      Optional[Any]					,lowerCamelCase					:      List[Any]=0.16     ):

      '''simple docstring'''

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





   def   UpperCAmelCase__  (       self					:      Union[str, Any]					,lowerCamelCase					:      Optional[int]=0.5     ):

      '''simple docstring'''

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





   def   UpperCAmelCase__  (       self					:      Tuple     ):

      '''simple docstring'''

      return np.arctan(
          ((2 * self.red - self.green - self.blue) / 30.5) * (self.green - self.blue)     )





   def   UpperCAmelCase__  (       self					:      Dict					,lowerCamelCase					:      Optional[int]=None					,lowerCamelCase					:      List[str]=None     ):

      '''simple docstring'''

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





   def   UpperCAmelCase__  (       self					:      List[Any]     ):

      '''simple docstring'''

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





   def   UpperCAmelCase__  (       self					:      Tuple     ):

      '''simple docstring'''

      return (self.red + self.green + self.blue) / 30.5





   def   UpperCAmelCase__  (       self					:      Optional[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					:      Optional[int]     ):

      '''simple docstring'''

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





   def   UpperCAmelCase__  (       self					:      str     ):

      '''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					:      str     ):

      '''simple docstring'''

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





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

      '''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					:      Any     ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE   				=							np.max([np.max(self.red     ), np.max(self.green     ), np.max(self.blue     )]     )
      __SCREAMING_SNAKE_CASE   				=							np.min([np.min(self.red     ), np.min(self.green     ), np.min(self.blue     )]     )
      return (max_value - min_value) / max_value





   def   UpperCAmelCase__  (       self					:      Optional[Any]     ):

      '''simple docstring'''

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





   def   UpperCAmelCase__  (       self					:      int     ):

      '''simple docstring'''

      return self.nir / self.red





   def   UpperCAmelCase__  (       self					:      List[str]     ):

      '''simple docstring'''

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





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

      '''simple docstring'''

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












'''simple docstring'''

import dataclasses
import json
import warnings
from dataclasses import dataclass, field
from time import time
from typing import List

from ..utils import logging


a   	=    logging.get_logger(__name__)

def     __magic_name__							(				__UpperCAmelCase=None				,						__UpperCAmelCase=None   )    ->       Dict:

   '''simple docstring'''







   return field(default_factory=lambda: default				,						metadata=__UpperCAmelCase   )







@dataclass
class __a			:
   __UpperCamelCase :			List[str]						   =						list_field(
       default=[], metadata={
           'help': (
               'Model checkpoints to be provided to the AutoModel classes. Leave blank to benchmark the base version'
               ' of all available models'
           )
       }, )

   __UpperCamelCase :			List[int]						   =						list_field(
       default=[8], metadata={'help': 'List of batch sizes for which memory and time performance will be evaluated'}      )

   __UpperCamelCase :			List[int]						   =						list_field(
       default=[8, 32, 128, 512], metadata={'help': 'List of sequence lengths for which memory and time performance will be evaluated'}, )

   __UpperCamelCase :			bool						   =						field(
       default=_snake_case, metadata={'help': 'Whether to benchmark inference of model. Inference can be disabled via --no-inference.'}, )
   __UpperCamelCase :			bool						   =						field(
       default=_snake_case, metadata={'help': 'Whether to run on available cuda devices. Cuda can be disabled via --no-cuda.'}, )
   __UpperCamelCase :			bool						   =						field(
       default=_snake_case, metadata={'help': 'Whether to run on available tpu devices. TPU can be disabled via --no-tpu.'}      )
   __UpperCamelCase :			bool						   =						field(default=_snake_case, metadata={'help': 'Use FP16 to accelerate inference.'}      )
   __UpperCamelCase :			bool						   =						field(default=_snake_case, metadata={'help': 'Benchmark training of model'}      )
   __UpperCamelCase :			bool						   =						field(default=_snake_case, metadata={'help': 'Verbose memory tracing'}      )
   __UpperCamelCase :			bool						   =						field(
       default=_snake_case, metadata={'help': 'Whether to perform speed measurements. Speed measurements can be disabled via --no-speed.'}, )
   __UpperCamelCase :			bool						   =						field(
       default=_snake_case, metadata={
           'help': 'Whether to perform memory measurements. Memory measurements can be disabled via --no-memory'
       }, )
   __UpperCamelCase :			bool						   =						field(default=_snake_case, metadata={'help': 'Trace memory line by line'}      )
   __UpperCamelCase :			bool						   =						field(default=_snake_case, metadata={'help': 'Save result to a CSV file'}      )
   __UpperCamelCase :			bool						   =						field(default=_snake_case, metadata={'help': 'Save all print statements in a log file'}      )
   __UpperCamelCase :			bool						   =						field(default=_snake_case, metadata={'help': 'Whether to print environment information'}      )
   __UpperCamelCase :			bool						   =						field(
       default=_snake_case, metadata={
           'help': (
               'Whether to use multiprocessing for memory and speed measurement. It is highly recommended to use'
               ' multiprocessing for accurate CPU and GPU memory measurements. This option should only be disabled'
               ' for debugging / testing and on TPU.'
           )
       }, )
   __UpperCamelCase :			str						   =						field(
       default=F'inference_time_{round(time()      )}.csv', metadata={'help': 'CSV filename used if saving time results to csv.'}, )
   __UpperCamelCase :			str						   =						field(
       default=F'inference_memory_{round(time()      )}.csv', metadata={'help': 'CSV filename used if saving memory results to csv.'}, )
   __UpperCamelCase :			str						   =						field(
       default=F'train_time_{round(time()      )}.csv', metadata={'help': 'CSV filename used if saving time results to csv for training.'}, )
   __UpperCamelCase :			str						   =						field(
       default=F'train_memory_{round(time()      )}.csv', metadata={'help': 'CSV filename used if saving memory results to csv for training.'}, )
   __UpperCamelCase :			str						   =						field(
       default=F'env_info_{round(time()      )}.csv', metadata={'help': 'CSV filename used if saving environment information.'}, )
   __UpperCamelCase :			str						   =						field(
       default=F'log_{round(time()      )}.csv', metadata={'help': 'Log filename used if print statements are saved in log.'}, )
   __UpperCamelCase :			int						   =						field(default=3, metadata={'help': 'Times an experiment will be run.'}      )
   __UpperCamelCase :			bool						   =						field(
       default=_snake_case, metadata={
           'help': (
               'Instead of loading the model as defined in `config.architectures` if exists, just load the pretrain'
               ' model weights.'
           )
       }, )





   def   UpperCAmelCase__  (       self					:      List[Any]     ):

      '''simple docstring'''

      warnings.warn(
          f"""The class {self.__class__} is deprecated. Hugging Face Benchmarking utils"""
          """ are deprecated in general and it is advised to use external Benchmarking libraries """
          """ to benchmark Transformer models."""					,lowerCamelCase					,)





   def   UpperCAmelCase__  (       self					:      int     ):

      '''simple docstring'''

      return json.dumps(dataclasses.asdict(self     )					,indent=2     )





   @property
   def   UpperCAmelCase__  (       self					:      str     ):

      '''simple docstring'''

      if len(self.models     ) <= 0:
         raise ValueError(
             """Please make sure you provide at least one model name / model identifier, *e.g.* `--models"""
             """ bert-base-cased` or `args.models = ['bert-base-cased']."""     )
      return self.models





   @property
   def   UpperCAmelCase__  (       self					:      Tuple     ):

      '''simple docstring'''

      if not self.multi_process:
         return False
      elif self.is_tpu:
         logger.info("""Multiprocessing is currently not possible on TPU."""     )
         return False
      else:
         return True





