

"""simple docstring"""




import json
import os
from functools import lru_cache
from typing import List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


lowerCAmelCase							:    str  							=							logging.get_logger(__name__)


lowerCAmelCase							:    int  							=							{"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt"""}

lowerCAmelCase							:    Any  							=							{
    """vocab_file""": {
        """allenai/longformer-base-4096""": """https://huggingface.co/allenai/longformer-base-4096/resolve/main/vocab.json""",
        """allenai/longformer-large-4096""": (
            """https://huggingface.co/allenai/longformer-large-4096/resolve/main/vocab.json"""
        ),
        """allenai/longformer-large-4096-finetuned-triviaqa""": (
            """https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/vocab.json"""
        ),
        """allenai/longformer-base-4096-extra.pos.embd.only""": (
            """https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/vocab.json"""
        ),
        """allenai/longformer-large-4096-extra.pos.embd.only""": (
            """https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/vocab.json"""
        ),
    },
    """merges_file""": {
        """allenai/longformer-base-4096""": """https://huggingface.co/allenai/longformer-base-4096/resolve/main/merges.txt""",
        """allenai/longformer-large-4096""": (
            """https://huggingface.co/allenai/longformer-large-4096/resolve/main/merges.txt"""
        ),
        """allenai/longformer-large-4096-finetuned-triviaqa""": (
            """https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/merges.txt"""
        ),
        """allenai/longformer-base-4096-extra.pos.embd.only""": (
            """https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/merges.txt"""
        ),
        """allenai/longformer-large-4096-extra.pos.embd.only""": (
            """https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/merges.txt"""
        ),
    },
}

lowerCAmelCase							:    Optional[Any]  							=							{
    """allenai/longformer-base-4096""": 4096,
    """allenai/longformer-large-4096""": 4096,
    """allenai/longformer-large-4096-finetuned-triviaqa""": 4096,
    """allenai/longformer-base-4096-extra.pos.embd.only""": 4096,
    """allenai/longformer-large-4096-extra.pos.embd.only""": 4096,
}



@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def 					a__				(       )		->      Optional[Any]:
			lowerCamelCase       =      (
			    list(range(ord("""!"""       ) ,				ord("""~"""       ) + 1       )       ) + list(range(ord("""¡"""       ) ,				ord("""¬"""       ) + 1       )       ) + list(range(ord("""®"""       ) ,				ord("""ÿ"""       ) + 1       )       )
			)
			lowerCamelCase       =      bs[:]
			lowerCamelCase       =      0
			for b in range(2**8       ):
						if b not in bs:
									bs.append(UpperCAmelCase__       )
									cs.append(2**8 + n       )
									n += 1
			lowerCamelCase       =      [chr(UpperCAmelCase__       ) for n in cs]
			return dict(zip(UpperCAmelCase__ ,				UpperCAmelCase__       )       )



def 					a__				(       snake_case__       )		->      Union[str, Any]:
			lowerCamelCase       =      set()
			lowerCamelCase       =      word[0]
			for char in word[1:]:
						pairs.add((prev_char, char)       )
						lowerCamelCase       =      char
			return pairs






class 					__magic_name__							( UpperCAmelCase__       ):






				'''simple docstring'''
				__UpperCamelCase    						=		VOCAB_FILES_NAMES
				__UpperCamelCase    						=		PRETRAINED_VOCAB_FILES_MAP
				__UpperCamelCase    						=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				__UpperCamelCase    						=		["input_ids", "attention_mask"]





				def __init__( self	,				_a	,				_a	,				_a="replace"	,				_a="<s>"	,				_a="</s>"	,				_a="</s>"	,				_a="<s>"	,				_a="<unk>"	,				_a="<pad>"	,				_a="<mask>"	,				_a=False	,				**_a	,				):





							"""simple docstring"""
							lowerCamelCase       =      AddedToken(__UpperCamelCase	,				lstrip=__UpperCamelCase	,				rstrip=__UpperCamelCase				) if isinstance(__UpperCamelCase	,				__UpperCamelCase				) else bos_token
							lowerCamelCase       =      AddedToken(__UpperCamelCase	,				lstrip=__UpperCamelCase	,				rstrip=__UpperCamelCase				) if isinstance(__UpperCamelCase	,				__UpperCamelCase				) else eos_token
							lowerCamelCase       =      AddedToken(__UpperCamelCase	,				lstrip=__UpperCamelCase	,				rstrip=__UpperCamelCase				) if isinstance(__UpperCamelCase	,				__UpperCamelCase				) else sep_token
							lowerCamelCase       =      AddedToken(__UpperCamelCase	,				lstrip=__UpperCamelCase	,				rstrip=__UpperCamelCase				) if isinstance(__UpperCamelCase	,				__UpperCamelCase				) else cls_token
							lowerCamelCase       =      AddedToken(__UpperCamelCase	,				lstrip=__UpperCamelCase	,				rstrip=__UpperCamelCase				) if isinstance(__UpperCamelCase	,				__UpperCamelCase				) else unk_token
							lowerCamelCase       =      AddedToken(__UpperCamelCase	,				lstrip=__UpperCamelCase	,				rstrip=__UpperCamelCase				) if isinstance(__UpperCamelCase	,				__UpperCamelCase				) else pad_token

							# Mask token behave like a normal word, i.e. include the space before it
							lowerCamelCase       =      AddedToken(__UpperCamelCase	,				lstrip=__UpperCamelCase	,				rstrip=__UpperCamelCase				) if isinstance(__UpperCamelCase	,				__UpperCamelCase				) else mask_token

							super().__init__(
							    errors=__UpperCamelCase	,				bos_token=__UpperCamelCase	,				eos_token=__UpperCamelCase	,				unk_token=__UpperCamelCase	,				sep_token=__UpperCamelCase	,				cls_token=__UpperCamelCase	,				pad_token=__UpperCamelCase	,				mask_token=__UpperCamelCase	,				add_prefix_space=__UpperCamelCase	,				**__UpperCamelCase	,				)

							with open(__UpperCamelCase	,				encoding="""utf-8"""				) as vocab_handle:
										lowerCamelCase       =      json.load(__UpperCamelCase				)
							lowerCamelCase       =      {v: k for k, v in self.encoder.items()}
							lowerCamelCase       =      errors  # how to handle errors in decoding
							lowerCamelCase       =      bytes_to_unicode()
							lowerCamelCase       =      {v: k for k, v in self.byte_encoder.items()}
							with open(__UpperCamelCase	,				encoding="""utf-8"""				) as merges_handle:
										lowerCamelCase       =      merges_handle.read().split("""\n"""				)[1:-1]
							lowerCamelCase       =      [tuple(merge.split()				) for merge in bpe_merges]
							lowerCamelCase       =      dict(zip(__UpperCamelCase	,				range(len(__UpperCamelCase				)				)				)				)
							lowerCamelCase       =      {}
							lowerCamelCase       =      add_prefix_space

							# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
							lowerCamelCase       =      re.compile(r"""'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+"""				)





				@property
				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							return len(self.encoder				)





				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							return dict(self.encoder	,				**self.added_tokens_encoder				)





				def      _lowerCAmelCase       ( self	,				_a				):





							"""simple docstring"""
							if token in self.cache:
										return self.cache[token]
							lowerCamelCase       =      tuple(__UpperCamelCase				)
							lowerCamelCase       =      get_pairs(__UpperCamelCase				)

							if not pairs:
										return token

							while True:
										lowerCamelCase       =      min(__UpperCamelCase	,				key=lambda _a				: self.bpe_ranks.get(__UpperCamelCase	,				float("""inf"""				)				)				)
										if bigram not in self.bpe_ranks:
													break
										lowerCamelCase   ,     lowerCamelCase       =      bigram
										lowerCamelCase       =      []
										lowerCamelCase       =      0
										while i < len(__UpperCamelCase				):
													try:
																lowerCamelCase       =      word.index(__UpperCamelCase	,				__UpperCamelCase				)
													except ValueError:
																new_word.extend(word[i:]				)
																break
													else:
																new_word.extend(word[i:j]				)
																lowerCamelCase       =      j

													if word[i] == first and i < len(__UpperCamelCase				) - 1 and word[i + 1] == second:
																new_word.append(first + second				)
																i += 2
													else:
																new_word.append(word[i]				)
																i += 1
										lowerCamelCase       =      tuple(__UpperCamelCase				)
										lowerCamelCase       =      new_word
										if len(__UpperCamelCase				) == 1:
													break
										else:
													lowerCamelCase       =      get_pairs(__UpperCamelCase				)
							lowerCamelCase       =      """ """.join(__UpperCamelCase				)
							lowerCamelCase       =      word
							return word





				def      _lowerCAmelCase       ( self	,				_a				):





							"""simple docstring"""
							lowerCamelCase       =      []
							for token in re.findall(self.pat	,				__UpperCamelCase				):
										lowerCamelCase       =      """""".join(
										    self.byte_encoder[b] for b in token.encode("""utf-8"""				)				)  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
										bpe_tokens.extend(bpe_token for bpe_token in self.bpe(__UpperCamelCase				).split(""" """				)				)
							return bpe_tokens





				def      _lowerCAmelCase       ( self	,				_a				):





							"""simple docstring"""
							return self.encoder.get(__UpperCamelCase	,				self.encoder.get(self.unk_token				)				)





				def      _lowerCAmelCase       ( self	,				_a				):





							"""simple docstring"""
							return self.decoder.get(__UpperCamelCase				)





				def      _lowerCAmelCase       ( self	,				_a				):





							"""simple docstring"""
							lowerCamelCase       =      """""".join(__UpperCamelCase				)
							lowerCamelCase       =      bytearray([self.byte_decoder[c] for c in text]				).decode("""utf-8"""	,				errors=self.errors				)
							return text





				def      _lowerCAmelCase       ( self	,				_a	,				_a = None				):





							"""simple docstring"""
							if not os.path.isdir(__UpperCamelCase				):
										logger.error(f'Vocabulary path ({save_directory}) should be a directory'				)
										return
							lowerCamelCase       =      os.path.join(
							    __UpperCamelCase	,				(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]				)
							lowerCamelCase       =      os.path.join(
							    __UpperCamelCase	,				(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""merges_file"""]				)

							with open(__UpperCamelCase	,				"""w"""	,				encoding="""utf-8"""				) as f:
										f.write(json.dumps(self.encoder	,				indent=2	,				sort_keys=__UpperCamelCase	,				ensure_ascii=__UpperCamelCase				) + """\n"""				)

							lowerCamelCase       =      0
							with open(__UpperCamelCase	,				"""w"""	,				encoding="""utf-8"""				) as writer:
										writer.write("""#version: 0.2\n"""				)
										for bpe_tokens, token_index in sorted(self.bpe_ranks.items()	,				key=lambda _a				: kv[1]				):
													if index != token_index:
																logger.warning(
																    f'Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'
																    """ Please check that the tokenizer is not corrupted!"""				)
																lowerCamelCase       =      token_index
													writer.write(""" """.join(__UpperCamelCase				) + """\n"""				)
													index += 1

							return vocab_file, merge_file





				def      _lowerCAmelCase       ( self	,				_a	,				_a = None				):





							"""simple docstring"""
							if token_ids_a is None:
										return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
							lowerCamelCase       =      [self.cls_token_id]
							lowerCamelCase       =      [self.sep_token_id]
							return cls + token_ids_a + sep + sep + token_ids_a + sep





				def      _lowerCAmelCase       ( self	,				_a	,				_a = None	,				_a = False				):





							"""simple docstring"""
							if already_has_special_tokens:
										return super().get_special_tokens_mask(
										    token_ids_a=__UpperCamelCase	,				token_ids_a=__UpperCamelCase	,				already_has_special_tokens=__UpperCamelCase				)

							if token_ids_a is None:
										return [1] + ([0] * len(__UpperCamelCase				)) + [1]
							return [1] + ([0] * len(__UpperCamelCase				)) + [1, 1] + ([0] * len(__UpperCamelCase				)) + [1]





				def      _lowerCAmelCase       ( self	,				_a	,				_a = None				):





							"""simple docstring"""
							lowerCamelCase       =      [self.sep_token_id]
							lowerCamelCase       =      [self.cls_token_id]

							if token_ids_a is None:
										return len(cls + token_ids_a + sep				) * [0]
							return len(cls + token_ids_a + sep + sep + token_ids_a + sep				) * [0]





				def      _lowerCAmelCase       ( self	,				_a	,				_a=False	,				**_a				):





							"""simple docstring"""
							lowerCamelCase       =      kwargs.pop("""add_prefix_space"""	,				self.add_prefix_space				)
							if (is_split_into_words or add_prefix_space) and (len(__UpperCamelCase				) > 0 and not text[0].isspace()):
										lowerCamelCase       =      """ """ + text
							return (text, kwargs)









"""simple docstring"""




import tempfile
import unittest

from make_student import create_student_by_copying_alternating_layers

from transformers import AutoConfig
from transformers.file_utils import cached_property
from transformers.testing_utils import require_torch


lowerCAmelCase							:    Optional[Any]  							=							"""sshleifer/bart-tiny-random"""
lowerCAmelCase							:    List[Any]  							=							"""patrickvonplaten/t5-tiny-random"""






@require_torch
class 					__magic_name__							( unittest.TestCase       ):






				'''simple docstring'''





				@cached_property
				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							return AutoConfig.from_pretrained(_a				)





				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							lowerCamelCase   ,     *lowerCamelCase       =      create_student_by_copying_alternating_layers(_a	,				tempfile.mkdtemp()	,				e=1	,				d=1				)
							self.assertEqual(student.config.num_hidden_layers	,				1				)





				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							lowerCamelCase   ,     *lowerCamelCase       =      create_student_by_copying_alternating_layers(_a	,				tempfile.mkdtemp()	,				e=1	,				d=_a				)





				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							lowerCamelCase   ,     *lowerCamelCase       =      create_student_by_copying_alternating_layers(_a	,				tempfile.mkdtemp()	,				e=1	,				d=_a				)
							self.assertEqual(student.config.encoder_layers	,				1				)
							self.assertEqual(student.config.decoder_layers	,				self.teacher_config.encoder_layers				)





				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							lowerCamelCase   ,     *lowerCamelCase       =      create_student_by_copying_alternating_layers(_a	,				tempfile.mkdtemp()	,				e=1	,				d=1				)
							self.assertEqual(student.config.encoder_layers	,				1				)
							self.assertEqual(student.config.decoder_layers	,				1				)





				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							with self.assertRaises(_a				):
										create_student_by_copying_alternating_layers(_a	,				tempfile.mkdtemp()	,				e=_a	,				d=_a				)



