"""simple docstring"""


import bisect
import copy
from collections import defaultdict

import numpy as np
from torch.utils.data import BatchSampler, Sampler

from utils import logger





def       lowerCamelCase_			( __lowerCAmelCase       ,   __lowerCAmelCase    )							-> List[str]:




      '''simple docstring'''



      lowerCamelCase__ =copy.deepcopy(_lowerCamelCase    )
      lowerCamelCase__ =sorted(_lowerCamelCase    )
      lowerCamelCase__ =[bisect.bisect_right(_lowerCamelCase       ,   _lowerCamelCase    ) for y in x]
      return quantized





def       lowerCamelCase_			( __lowerCAmelCase       ,   __lowerCAmelCase=0    )							-> Union[str, Any]:




      '''simple docstring'''



      lowerCamelCase__ =np.arange(start=3       ,   stop=_lowerCamelCase       ,   step=4    ).tolist() if k > 0 else [10]
      lowerCamelCase__ =_quantize(_lowerCamelCase       ,   _lowerCamelCase    )
      # count number of elements per group
      lowerCamelCase__ =np.unique(_lowerCamelCase       ,   return_counts=_lowerCamelCase    )[1]
      lowerCamelCase__ =[0] + bins + [np.inf]
      logger.info("Using {} as bins for aspect lengths quantization".format(_lowerCamelCase    )    )
      logger.info("Count of instances per bin: {}".format(_lowerCamelCase    )    )
      return groups






class        __UpperCAmelCase						(     __lowerCAmelCase     ):

    def __init__(				self     ,			_lowerCamelCase     ,			_lowerCamelCase     ,			_lowerCamelCase				):




          if not isinstance(__SCREAMING_SNAKE_CASE     ,			__SCREAMING_SNAKE_CASE				):
                raise ValueError(
                    "sampler should be an instance of torch.utils.data.Sampler, but got sampler={}".format(__SCREAMING_SNAKE_CASE				)				)
          lowerCamelCase__ =sampler
          lowerCamelCase__ =group_ids
          lowerCamelCase__ =batch_size

    def __iter__(				self				):
          lowerCamelCase__ =defaultdict(__SCREAMING_SNAKE_CASE				)
          lowerCamelCase__ =defaultdict(__SCREAMING_SNAKE_CASE				)

          lowerCamelCase__ =0
          for idx in self.sampler:
                lowerCamelCase__ =self.group_ids[idx]
                buffer_per_group[group_id].append(__SCREAMING_SNAKE_CASE				)
                samples_per_group[group_id].append(__SCREAMING_SNAKE_CASE				)
                if len(buffer_per_group[group_id]				) == self.batch_size:
                      yield buffer_per_group[group_id]  # TODO
                      num_batches += 1
                      del buffer_per_group[group_id]
                assert len(buffer_per_group[group_id]				) < self.batch_size

          # now we have run out of elements that satisfy
          # the group criteria, let's return the remaining
          # elements so that the size of the sampler is
          # deterministic
          lowerCamelCase__ =len(self				)
          lowerCamelCase__ =expected_num_batches - num_batches
          if num_remaining > 0:
                # for the remaining batches, group the batches by similar lengths
                lowerCamelCase__ =[]
                for group_id, idxs in sorted(buffer_per_group.items()     ,			key=lambda _lowerCamelCase				: x[0]				):
                      batch_idx.extend(__SCREAMING_SNAKE_CASE				)
                      if len(__SCREAMING_SNAKE_CASE				) >= self.batch_size:
                            yield batch_idx[: self.batch_size]
                            lowerCamelCase__ =batch_idx[self.batch_size :]
                            num_remaining -= 1
                if len(__SCREAMING_SNAKE_CASE				) > 0:
                      yield batch_idx
                      num_remaining -= 1
          assert num_remaining == 0






    def __len__(				self				):
          return (len(self.sampler				) + self.batch_size - 1) // self.batch_size



"""simple docstring"""


def       lowerCamelCase_			( __lowerCAmelCase    )							-> bool:




						'''simple docstring'''



						if not isinstance(__lowerCAmelCase       ,   __lowerCAmelCase    ):
												raise ValueError("Input series is not valid, valid series - [2, 4, 8]"    )
						if len(__lowerCAmelCase    ) == 0:
												raise ValueError("Input list must be a non empty list"    )
						if len(__lowerCAmelCase    ) == 1:
												return True
						try:
												lowerCamelCase__ =series[1] / series[0]
												for index in range(len(__lowerCAmelCase    ) - 1    ):
																		if series[index + 1] / series[index] != common_ratio:
																								return False
						except ZeroDivisionError:
												return False
						return True





def       lowerCamelCase_			( __lowerCAmelCase    )							-> float:




						'''simple docstring'''



						if not isinstance(__lowerCAmelCase       ,   __lowerCAmelCase    ):
												raise ValueError("Input series is not valid, valid series - [2, 4, 8]"    )
						if len(__lowerCAmelCase    ) == 0:
												raise ValueError("Input list must be a non empty list"    )
						lowerCamelCase__ =1
						for value in series:
												answer *= value
						return pow(__lowerCAmelCase       ,   1 / len(__lowerCAmelCase    )    )


if __name__ == "__main__":
	import doctest

	doctest.testmod()


