


import numpy as np
import torch
from torch.utils.data import Dataset

from utils import logger







class lowerCAmelCase_		(				lowercase__ ):

 '''simple docstring'''

 def __init__(			self	,   _UpperCAmelCase	,   _UpperCAmelCase      ):
       snake_case_ =   params

       snake_case_ =   np.array(__lowercase      )
       snake_case_ =   np.array([len(__lowercase      ) for t in data]      )

       self.check()
       self.remove_long_sequences()
       self.remove_empty_sequences()
       self.remove_unknown_sequences()
       self.check()
       self.print_statistics()



 def __getitem__(			self	,   _UpperCAmelCase      ):
       return (self.token_ids[index], self.lengths[index])



 def __len__(			self      ):
       return len(self.lengths      )



 def 		UpperCamelCase__  (			self      ):
       assert len(self.token_ids      ) == len(self.lengths      )
       assert all(self.lengths[i] == len(self.token_ids[i]      ) for i in range(len(self.lengths      )      )      )



 def 		UpperCamelCase__  (			self      ):
       snake_case_ =   self.params.max_model_input_size
       snake_case_ =   self.lengths > max_len
       logger.info(F'''Splitting {sum(__lowercase      )} too long sequences.'''      )

       def divide_chunks(_UpperCAmelCase	,   _UpperCAmelCase      ):
             return [l[i : i + n] for i in range(0	,   len(__lowercase      )	,   __lowercase      )]

       snake_case_ =   []
       snake_case_ =   []
       if self.params.mlm:
             snake_case_ ,					snake_case_ =   self.params.special_tok_ids['''cls_token'''], self.params.special_tok_ids['''sep_token''']
       else:
             snake_case_ ,					snake_case_ =   self.params.special_tok_ids['''bos_token'''], self.params.special_tok_ids['''eos_token''']

       for seq_, len_ in zip(self.token_ids	,   self.lengths      ):
             assert (seq_[0] == cls_id) and (seq_[-1] == sep_id), seq_
             if len_ <= max_len:
                   new_tok_ids.append(seq_      )
                   new_lengths.append(len_      )
             else:
                   snake_case_ =   []
                   for sub_s in divide_chunks(seq_	,   max_len - 2      ):
                         if sub_s[0] != cls_id:
                               snake_case_ =   np.insert(__lowercase	,   0	,   __lowercase      )
                         if sub_s[-1] != sep_id:
                               snake_case_ =   np.insert(__lowercase	,   len(__lowercase      )	,   __lowercase      )
                         assert len(__lowercase      ) <= max_len
                         assert (sub_s[0] == cls_id) and (sub_s[-1] == sep_id), sub_s
                         sub_seqs.append(__lowercase      )

                   new_tok_ids.extend(__lowercase      )
                   new_lengths.extend([len(__lowercase      ) for l in sub_seqs]      )

       snake_case_ =   np.array(__lowercase      )
       snake_case_ =   np.array(__lowercase      )



 def 		UpperCamelCase__  (			self      ):
       snake_case_ =   len(self      )
       snake_case_ =   self.lengths > 11
       snake_case_ =   self.token_ids[indices]
       snake_case_ =   self.lengths[indices]
       snake_case_ =   len(self      )
       logger.info(F'''Remove {init_size - new_size} too short (<=11 tokens) sequences.'''      )



 def 		UpperCamelCase__  (			self      ):
       if "unk_token" not in self.params.special_tok_ids:
             return
       else:
             snake_case_ =   self.params.special_tok_ids['''unk_token''']
       snake_case_ =   len(self      )
       snake_case_ =   np.array([np.count_nonzero(a == unk_token_id      ) for a in self.token_ids]      )
       snake_case_ =   (unk_occs / self.lengths) < 0.5
       snake_case_ =   self.token_ids[indices]
       snake_case_ =   self.lengths[indices]
       snake_case_ =   len(self      )
       logger.info(F'''Remove {init_size - new_size} sequences with a high level of unknown tokens (50%).'''      )



 def 		UpperCamelCase__  (			self      ):
       if not self.params.is_master:
             return
       logger.info(F'''{len(self      )} sequences'''      )
       # data_len = sum(self.lengths)
       # nb_unique_tokens = len(Counter(list(chain(*self.token_ids))))
       # logger.info(f'{data_len} tokens ({nb_unique_tokens} unique)')

       # unk_idx = self.params.special_tok_ids['unk_token']
       # nb_unknown = sum([(t==unk_idx).sum() for t in self.token_ids])
       # logger.info(f'{nb_unknown} unknown tokens (covering {100*nb_unknown/data_len:.2f}% of the data)')





 def 		UpperCamelCase__  (			self	,   _UpperCAmelCase      ):
       snake_case_ =   [t[0] for t in batch]
       snake_case_ =   [t[1] for t in batch]
       assert len(__lowercase      ) == len(__lowercase      )

       # Max for paddings
       snake_case_ =   max(__lowercase      )

       # Pad token ids
       if self.params.mlm:
             snake_case_ =   self.params.special_tok_ids['''pad_token''']
       else:
             snake_case_ =   self.params.special_tok_ids['''unk_token''']
       snake_case_ =   [list(t.astype(__lowercase      )      ) + [pad_idx] * (max_seq_len_ - len(__lowercase      )) for t in token_ids]
       assert len(tk_      ) == len(__lowercase      )
       assert all(len(__lowercase      ) == max_seq_len_ for t in tk_      )

       snake_case_ =   torch.tensor(tk_      )  # (bs, max_seq_len_)
       snake_case_ =   torch.tensor(__lowercase      )  # (bs)
       return tk_t, lg_t



import copy
import re







class lowerCAmelCase_		:

 '''simple docstring'''

 __snake_case				=						"hp"
 __snake_case				=						{}
 __snake_case				=						None



 @classmethod
 def 		UpperCamelCase__  (			cls	,   _UpperCAmelCase	,   _UpperCAmelCase      ):
       snake_case_ =   prefix
       snake_case_ =   defaults
       cls.build_naming_info()



 @staticmethod
 def 		UpperCamelCase__  (			_UpperCAmelCase	,   _UpperCAmelCase      ):
       if len(_UpperCAmelCase      ) == 0:
             return ""
       snake_case_ =   None
       if any(char.isdigit() for char in word      ):
             raise Exception(F'''Parameters should not contain numbers: \'{word}\' contains a number'''      )
       if word in info["short_word"]:
             return info["short_word"][word]
       for prefix_len in range(1	,   len(_UpperCAmelCase      ) + 1      ):
             snake_case_ =   word[:prefix_len]
             if prefix in info["reverse_short_word"]:
                   continue
             else:
                   snake_case_ =   prefix
                   break

       if short_word is None:
             # Paranoid fallback
             def int_to_alphabetic(_UpperCAmelCase      ):
                   snake_case_ =   ''''''
                   while integer != 0:
                         snake_case_ =   chr(ord('''A'''      ) + integer % 10      ) + s
                         integer //= 10
                   return s

             snake_case_ =   0
             while True:
                   snake_case_ =   word + '''#''' + int_to_alphabetic(_UpperCAmelCase      )
                   if sword in info["reverse_short_word"]:
                         continue
                   else:
                         snake_case_ =   sword
                         break

       snake_case_ =   short_word
       snake_case_ =   word
       return short_word



 @staticmethod
 def 		UpperCamelCase__  (			_UpperCAmelCase	,   _UpperCAmelCase      ):
       snake_case_ =   param_name.split('''_'''      )

       snake_case_ =   [TrialShortNamer.shortname_for_word(_UpperCAmelCase	,   _UpperCAmelCase      ) for word in words]

       # We try to create a separatorless short name, but if there is a collision we have to fallback
       # to a separated short name
       snake_case_ =   ['''''', '''_''']

       for separator in separators:
             snake_case_ =   separator.join(_UpperCAmelCase      )
             if shortname not in info["reverse_short_param"]:
                   snake_case_ =   shortname
                   snake_case_ =   param_name
                   return shortname

       return param_name



 @staticmethod
 def 		UpperCamelCase__  (			_UpperCAmelCase	,   _UpperCAmelCase      ):
       snake_case_ =   TrialShortNamer.shortname_for_key(_UpperCAmelCase	,   _UpperCAmelCase      )
       snake_case_ =   short_name
       snake_case_ =   param_name



 @classmethod
 def 		UpperCamelCase__  (			cls      ):
       if cls.NAMING_INFO is not None:
             return

       snake_case_ =   {
           '''short_word''': {},
           '''reverse_short_word''': {},
           '''short_param''': {},
           '''reverse_short_param''': {},
       }

       snake_case_ =   list(cls.DEFAULTS.keys()      )

       for k in field_keys:
             cls.add_new_param_name(_UpperCAmelCase	,   _UpperCAmelCase      )

       snake_case_ =   info



 @classmethod
 def 		UpperCamelCase__  (			cls	,   _UpperCAmelCase      ):
       cls.build_naming_info()
       assert cls.PREFIX is not None
       snake_case_ =   [copy.copy(cls.PREFIX      )]

       for k, v in params.items():
             if k not in cls.DEFAULTS:
                   raise Exception(F'''You should provide a default value for the param name {k} with value {v}'''      )
             if v == cls.DEFAULTS[k]:
                   # The default value is not added to the name
                   continue

             snake_case_ =   cls.NAMING_INFO['''short_param'''][k]

             if isinstance(_UpperCAmelCase	,   _UpperCAmelCase      ):
                   snake_case_ =   1 if v else 0

             snake_case_ =   '''''' if isinstance(_UpperCAmelCase	,   (int, float)      ) else '''-'''
             snake_case_ =   F'''{key}{sep}{v}'''
             name.append(_UpperCAmelCase      )

       return "_".join(_UpperCAmelCase      )





 @classmethod
 def 		UpperCamelCase__  (			cls	,   _UpperCAmelCase      ):
       snake_case_ =   repr[len(cls.PREFIX      ) + 1 :]
       if repr == "":
             snake_case_ =   []
       else:
             snake_case_ =   repr.split('''_'''      )

       snake_case_ =   {}

       for value in values:
             if "-" in value:
                   snake_case_ ,					snake_case_ =   value.split('''-'''      )
             else:
                   snake_case_ =   re.sub('''[0-9.]'''	,   ''''''	,   _UpperCAmelCase      )
                   snake_case_ =   float(re.sub('''[^0-9.]'''	,   ''''''	,   _UpperCAmelCase      )      )

             snake_case_ =   cls.NAMING_INFO['''reverse_short_param'''][p_k]

             snake_case_ =   p_v

       for k in cls.DEFAULTS:
             if k not in parameters:
                   snake_case_ =   cls.DEFAULTS[k]

       return parameters