


import unittest
from dataclasses import dataclass
from typing import Optional

from transformers.utils import ModelOutput




@dataclass
class A  (       UpperCamelCase_					):
      UpperCamelCase__							:  float
      UpperCamelCase__							:  Optional[float]				=None
      UpperCamelCase__							:  Optional[float]				=None




class A  (       unittest.TestCase					):






      def 	lowerCamelCase	( self						:					str			) ->						Optional[Any]:
             """simple docstring"""




             _lowerCamelCase	:		List[Any]          =ModelOutputTest(a=30			)
             self.assertEqual(x.a      ,       30			)
             self.assertIsNone(x.b			)
             self.assertIsNone(x.c			)
             with self.assertRaises(lowercase_			):
                    _lowerCamelCase	:		Any          =x.d






      def 	lowerCamelCase	( self						:					List[Any]			) ->						str:
             """simple docstring"""




             _lowerCamelCase	:		Tuple          =ModelOutputTest(a=30      ,       b=10			)
             self.assertEqual(x[0]      ,       30			)
             self.assertEqual(x[1]      ,       10			)
             self.assertEqual(x[:2]      ,       (30, 10)			)
             self.assertEqual(x[:]      ,       (30, 10)			)

             _lowerCamelCase	:		int          =ModelOutputTest(a=30      ,       c=10			)
             self.assertEqual(x[0]      ,       30			)
             self.assertEqual(x[1]      ,       10			)
             self.assertEqual(x[:2]      ,       (30, 10)			)
             self.assertEqual(x[:]      ,       (30, 10)			)






      def 	lowerCamelCase	( self						:					Tuple			) ->						Dict:
             """simple docstring"""




             _lowerCamelCase	:		Optional[Any]          =ModelOutputTest(a=30      ,       b=10			)
             self.assertEqual(x['a']      ,       30			)
             self.assertEqual(x['b']      ,       10			)
             with self.assertRaises(lowercase_			):
                    _lowerCamelCase	:		Union[str, Any]          =x['c']

             _lowerCamelCase	:		Union[str, Any]          =ModelOutputTest(a=30      ,       c=10			)
             self.assertEqual(x['a']      ,       30			)
             self.assertEqual(x['c']      ,       10			)
             with self.assertRaises(lowercase_			):
                    _lowerCamelCase	:		int          =x['b']






      def 	lowerCamelCase	( self						:					List[str]			) ->						Union[str, Any]:
             """simple docstring"""




             _lowerCamelCase	:		Optional[int]          =ModelOutputTest(a=30			)
             self.assertEqual(list(x.keys()			)      ,       ['a']			)
             self.assertEqual(list(x.values()			)      ,       [30]			)
             self.assertEqual(list(x.items()			)      ,       [('a', 30)]			)
             self.assertEqual(list(lowercase_			)      ,       ['a']			)

             _lowerCamelCase	:		List[Any]          =ModelOutputTest(a=30      ,       b=10			)
             self.assertEqual(list(x.keys()			)      ,       ['a', 'b']			)
             self.assertEqual(list(x.values()			)      ,       [30, 10]			)
             self.assertEqual(list(x.items()			)      ,       [('a', 30), ('b', 10)]			)
             self.assertEqual(list(lowercase_			)      ,       ['a', 'b']			)

             _lowerCamelCase	:		Optional[Any]          =ModelOutputTest(a=30      ,       c=10			)
             self.assertEqual(list(x.keys()			)      ,       ['a', 'c']			)
             self.assertEqual(list(x.values()			)      ,       [30, 10]			)
             self.assertEqual(list(x.items()			)      ,       [('a', 30), ('c', 10)]			)
             self.assertEqual(list(lowercase_			)      ,       ['a', 'c']			)

             with self.assertRaises(lowercase_			):
                    _lowerCamelCase	:		List[str]          =x.update({'d': 20}			)
             with self.assertRaises(lowercase_			):
                    del x["a"]
             with self.assertRaises(lowercase_			):
                    _lowerCamelCase	:		Tuple          =x.pop('a'			)
             with self.assertRaises(lowercase_			):
                    _lowerCamelCase	:		Optional[int]          =x.setdefault('d'      ,       32			)






      def 	lowerCamelCase	( self						:					Dict			) ->						Dict:
             """simple docstring"""




             _lowerCamelCase	:		Union[str, Any]          =ModelOutputTest(a=30			)
             _lowerCamelCase	:		List[str]          =10
             self.assertEqual(x.a      ,       10			)
             self.assertEqual(x['a']      ,       10			)






      def 	lowerCamelCase	( self						:					List[str]			) ->						int:
             """simple docstring"""




             _lowerCamelCase	:		List[str]          =ModelOutputTest(a=30			)
             _lowerCamelCase	:		Union[str, Any]          =10
             self.assertEqual(x.a      ,       10			)
             self.assertEqual(x['a']      ,       10			)






      def 	lowerCamelCase	( self						:					Union[str, Any]			) ->						Optional[int]:
             """simple docstring"""




             _lowerCamelCase	:		Optional[Any]          =ModelOutputTest({'a': 30, 'b': 10}			)
             self.assertEqual(list(x.keys()			)      ,       ['a', 'b']			)
             self.assertEqual(x.a      ,       30			)
             self.assertEqual(x.b      ,       10			)






      def 	lowerCamelCase	( self						:					Any			) ->						Optional[int]:
             """simple docstring"""




             _lowerCamelCase	:		List[Any]          =ModelOutputTest([('a', 30), ('b', 10)]			)
             self.assertEqual(list(x.keys()			)      ,       ['a', 'b']			)
             self.assertEqual(x.a      ,       30			)
             self.assertEqual(x.b      ,       10			)

             with self.assertRaises(lowercase_			):
                    _lowerCamelCase	:		Optional[Any]          =ModelOutputTest([('a', 30), (10, 10)]			)

             _lowerCamelCase	:		Tuple          =ModelOutputTest(a=(30, 30)			)
             self.assertEqual(list(x.keys()			)      ,       ['a']			)
             self.assertEqual(x.a      ,       (30, 30)			)








import bisect
import copy
from collections import defaultdict

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

from utils import logger




def      a_				(   SCREAMING_SNAKE_CASE__ :				Tuple		,      SCREAMING_SNAKE_CASE__ :				Optional[int]					):
       '''simple docstring'''





       _lowerCamelCase	:		Union[str, Any]          =copy.deepcopy(SCREAMING_SNAKE_CASE__					)
       _lowerCamelCase	:		Union[str, Any]          =sorted(SCREAMING_SNAKE_CASE__					)
       _lowerCamelCase	:		List[Any]          =[bisect.bisect_right(SCREAMING_SNAKE_CASE__		,      SCREAMING_SNAKE_CASE__					) for y in x]
       return quantized




def      a_				(   SCREAMING_SNAKE_CASE__ :				Any		,      SCREAMING_SNAKE_CASE__ :				Optional[int]=0					):
       '''simple docstring'''





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




class A  (       UpperCamelCase_					):






      def __init__( self						:					Optional[Any]      ,       lowercase_						:					int      ,       lowercase_						:					Optional[int]      ,       lowercase_						:					int			) ->						Any:
             """simple docstring"""




             if not isinstance(lowercase_      ,       lowercase_			):
                    raise ValueError(
                        'sampler should be an instance of torch.utils.data.Sampler, but got sampler={}'.format(lowercase_			)			)
             _lowerCamelCase	:		Any          =sampler
             _lowerCamelCase	:		Dict          =group_ids
             _lowerCamelCase	:		Dict          =batch_size






      def __iter__( self						:					Optional[int]			) ->						str:
             """simple docstring"""




             _lowerCamelCase	:		Union[str, Any]          =defaultdict(lowercase_			)
             _lowerCamelCase	:		Union[str, Any]          =defaultdict(lowercase_			)

             _lowerCamelCase	:		Any          =0
             for idx in self.sampler:
                    _lowerCamelCase	:		Any          =self.group_ids[idx]
                    buffer_per_group[group_id].append(lowercase_			)
                    samples_per_group[group_id].append(lowercase_			)
                    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	:		Union[str, Any]          =len(self			)
             _lowerCamelCase	:		Dict          =expected_num_batches - num_batches
             if num_remaining > 0:
                    # for the remaining batches, group the batches by similar lengths
                    _lowerCamelCase	:		Union[str, Any]          =[]
                    for group_id, idxs in sorted(buffer_per_group.items()      ,       key=lambda lowercase_			: x[0]			):
                           batch_idx.extend(lowercase_			)
                           if len(lowercase_			) >= self.batch_size:
                                  yield batch_idx[: self.batch_size]
                                  _lowerCamelCase	:		str          =batch_idx[self.batch_size :]
                                  num_remaining -= 1
                    if len(lowercase_			) > 0:
                           yield batch_idx
                           num_remaining -= 1
             assert num_remaining == 0






      def __len__( self						:					Optional[int]			) ->						Union[str, Any]:
             """simple docstring"""




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


