

'''simple docstring'''





class    SCREAMING_SNAKE_CASE__      :





    def __init__(   self):
         # numbermap keys are the number and its values are lists of indexes sorted
         # in ascending order
         lowercase__					:     Optional[int]   = {}
         # indexmap keys are an index and it's values are the number at that index
         lowercase__					:     List[str]   = {}





    def    snake_case_       (   self		,     a		,     a):
         if isinstance(__snake_case		,     (range, str)):
              lowercase__					:     List[str]   = list(__snake_case)
         elif not isinstance(__snake_case		,     __snake_case):
              raise TypeError(
                  'binary_search_delete() only accepts either a list, range or str')

         lowercase__					:     List[str]   = 0
         lowercase__					:     Union[str, Any]   = len(__snake_case) - 1

         while low <= high:
              lowercase__					:     List[str]   = (low + high) // 2
              if array[mid] == item:
                   array.pop(__snake_case)
                   return array
              elif array[mid] < item:
                   lowercase__					:     Any   = mid + 1
              else:
                   lowercase__					:     str   = mid - 1
         raise ValueError(
             'Either the item is not in the array or the array was unsorted')





    def    snake_case_       (   self		,     a		,     a):
         if isinstance(__snake_case		,     (range, str)):
              lowercase__					:     Dict   = list(__snake_case)
         elif not isinstance(__snake_case		,     __snake_case):
              raise TypeError(
                  'binary_search_insert() only accepts either a list, range or str')

         lowercase__					:     Dict   = 0
         lowercase__					:     Dict   = len(__snake_case) - 1

         while low <= high:
              lowercase__					:     Tuple   = (low + high) // 2
              if array[mid] == index:
                   # If the item already exists in the array,
                   # insert it after the existing item
                   array.insert(mid + 1		,     __snake_case)
                   return array
              elif array[mid] < index:
                   lowercase__					:     List[Any]   = mid + 1
              else:
                   lowercase__					:     int   = mid - 1

        # If the item doesn't exist in the array, insert it at the appropriate position
         array.insert(__snake_case		,     __snake_case)
         return array





    def    snake_case_       (   self		,     a		,     a):
         # Remove previous index
         if index in self.indexmap:
              lowercase__					:     Optional[Any]   = self.indexmap[index]
              if len(self.numbermap[n]) == 1:
                   del self.numbermap[n]
              else:
                   lowercase__					:     Optional[int]   = self.binary_search_delete(self.numbermap[n]		,     __snake_case)

        # Set new index
         lowercase__					:     List[str]   = number

         # Number not seen before or empty so insert number value
         if number not in self.numbermap:
              lowercase__					:     Tuple   = [index]

         # Here we need to perform a binary search insertion in order to insert
         # The item in the correct place
         else:
              lowercase__					:     Dict   = self.binary_search_insert(
                  self.numbermap[number]		,     __snake_case)





    def    snake_case_       (   self		,     a):
         return self.numbermap.get(__snake_case		,     [-1])[0]


if __name__ == "__main__":
       import doctest

       doctest.testmod()




# as due to their complexity multi-gpu tests could impact other tests, and to aid debug we have those in a separate module.

import os
import sys

from transformers.testing_utils import TestCasePlus, execute_subprocess_async, get_gpu_count, require_torch_gpu, slow

from .utils import load_json


class    SCREAMING_SNAKE_CASE__      (__snake_case  ):





    @classmethod
    def    snake_case_       (   cls):
         return cls





    @slow
    @require_torch_gpu
    def    snake_case_       (   self):
         lowercase__					:     List[Any]   = self.get_auto_remove_tmp_dir()
         lowercase__					:     List[str]   = f"""
            --model_name Helsinki-NLP/opus-mt-en-ro
            --save_dir {output_dir}
            --data_dir {self.test_file_dir_str}/test_data/wmt_en_ro
            --num_beams 2
            --task translation
        """.split()

         # we want this test to run even if there is only one GPU, but if there are more we use them all
         lowercase__					:     int   = get_gpu_count()
         lowercase__					:     Tuple   = f"""
            -m torch.distributed.launch
            --nproc_per_node={n_gpu}
            {self.test_file_dir}/run_distributed_eval.py
        """.split()
         lowercase__					:     Optional[Any]   = [sys.executable] + distributed_args + args
         execute_subprocess_async(a		,     env=self.get_env())

         lowercase__					:     str   = os.path.join(a		,     'test_bleu.json')
         lowercase__					:     List[str]   = load_json(a)
         # print(metrics)
         self.assertGreaterEqual(metrics['bleu']		,     25)

