



import json
import os
import unittest

from transformers import AutoTokenizer, GPTaTokenizer, GPTaTokenizerFast
from transformers.models.gpta.tokenization_gpta import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin



@require_tokenizers
class 	lowerCamelCase      (						snake_case__,     unittest.TestCase  ):







					'''simple docstring'''







					lowerCAmelCase_				:    Optional[Any]									=  GPTaTokenizer
					lowerCAmelCase_				:    List[Any]									=  GPTaTokenizerFast
					lowerCAmelCase_				:    Union[str, Any]									=  True
					lowerCAmelCase_				:    Dict									=  {'add_prefix_space': True}
					lowerCAmelCase_				:    Optional[Any]									=  False



					def    A__		(			self     ):
							super().setUp()

							# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
							UpperCAmelCase_						=				[
							    "l",
							    "o",
							    "w",
							    "e",
							    "r",
							    "s",
							    "t",
							    "i",
							    "d",
							    "n",
							    "\u0120",
							    "\u0120l",
							    "\u0120n",
							    "\u0120lo",
							    "\u0120low",
							    "er",
							    "\u0120lowest",
							    "\u0120newer",
							    "\u0120wider",
							    "<unk>",
							    "<|endoftext|>",
							]
							UpperCAmelCase_						=				dict(zip(lowercase_    ,	range(len(lowercase_     )     )     )     )
							UpperCAmelCase_						=				["#version: 0.2", "\u0120 l", "\u0120l o", "\u0120lo w", "e r", ""]
							UpperCAmelCase_						=				{"unk_token": "<unk>"}

							UpperCAmelCase_						=				os.path.join(self.tmpdirname    ,	VOCAB_FILES_NAMES["vocab_file"]     )
							UpperCAmelCase_						=				os.path.join(self.tmpdirname    ,	VOCAB_FILES_NAMES["merges_file"]     )
							with open(self.vocab_file    ,	"w"    ,	encoding="utf-8"     ) as fp:
									fp.write(json.dumps(lowercase_     ) + "\n"     )
							with open(self.merges_file    ,	"w"    ,	encoding="utf-8"     ) as fp:
									fp.write("\n".join(lowercase_     )     )



					def    A__		(			self    ,	**lowerCAmelCase     ):
							kwargs.update(self.special_tokens_map     )
							return GPTaTokenizer.from_pretrained(self.tmpdirname    ,	**lowercase_     )



					def    A__		(			self    ,	**lowerCAmelCase     ):
							kwargs.update(self.special_tokens_map     )
							return GPTaTokenizerFast.from_pretrained(self.tmpdirname    ,	**lowercase_     )



					def    A__		(			self    ,	lowerCAmelCase     ):
							UpperCAmelCase_						=				"lower newer"
							UpperCAmelCase_						=				"lower newer"
							return input_text, output_text



					def    A__		(			self     ):
							UpperCAmelCase_						=				GPTaTokenizer(self.vocab_file    ,	self.merges_file    ,	**self.special_tokens_map     )
							UpperCAmelCase_						=				"lower newer"
							UpperCAmelCase_						=				["\u0120low", "er", "\u0120", "n", "e", "w", "er"]
							UpperCAmelCase_						=				tokenizer.tokenize(lowercase_    ,	add_prefix_space=lowercase_     )
							self.assertListEqual(lowercase_    ,	lowercase_     )

							UpperCAmelCase_						=				tokens + [tokenizer.unk_token]
							UpperCAmelCase_						=				[14, 15, 10, 9, 3, 2, 15, 19]
							self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase_     )    ,	lowercase_     )



					def    A__		(			self     ):
							if not self.test_rust_tokenizer:
									return

							UpperCAmelCase_						=				self.get_tokenizer()
							UpperCAmelCase_						=				self.get_rust_tokenizer(add_prefix_space=lowercase_     )

							UpperCAmelCase_						=				"lower newer"

							# Testing tokenization
							UpperCAmelCase_						=				tokenizer.tokenize(lowercase_    ,	add_prefix_space=lowercase_     )
							UpperCAmelCase_						=				rust_tokenizer.tokenize(lowercase_     )
							self.assertListEqual(lowercase_    ,	lowercase_     )

							# Testing conversion to ids without special tokens
							UpperCAmelCase_						=				tokenizer.encode(lowercase_    ,	add_special_tokens=lowercase_    ,	add_prefix_space=lowercase_     )
							UpperCAmelCase_						=				rust_tokenizer.encode(lowercase_    ,	add_special_tokens=lowercase_     )
							self.assertListEqual(lowercase_    ,	lowercase_     )

							# Testing conversion to ids with special tokens
							UpperCAmelCase_						=				self.get_rust_tokenizer(add_prefix_space=lowercase_     )
							UpperCAmelCase_						=				tokenizer.encode(lowercase_    ,	add_prefix_space=lowercase_     )
							UpperCAmelCase_						=				rust_tokenizer.encode(lowercase_     )
							self.assertListEqual(lowercase_    ,	lowercase_     )

							# Testing the unknown token
							UpperCAmelCase_						=				tokens + [rust_tokenizer.unk_token]
							UpperCAmelCase_						=				[14, 15, 10, 9, 3, 2, 15, 19]
							self.assertListEqual(rust_tokenizer.convert_tokens_to_ids(lowercase_     )    ,	lowercase_     )



					def    A__		(			self    ,	*lowerCAmelCase    ,	**lowerCAmelCase     ):
							# It's very difficult to mix/test pretokenization with byte-level
							# And get both GPT2 and Roberta to work at the same time (mostly an issue of adding a space before the string)
							pass



					def    A__		(			self    ,	lowerCAmelCase=15     ):
							for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
									with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''     ):
											UpperCAmelCase_						=				self.rust_tokenizer_class.from_pretrained(lowercase_    ,	**lowercase_     )

											# Simple input
											UpperCAmelCase_						=				"This is a simple input"
											UpperCAmelCase_						=				["This is a simple input 1", "This is a simple input 2"]
											UpperCAmelCase_						=				("This is a simple input", "This is a pair")
											UpperCAmelCase_						=				[
											    ("This is a simple input 1", "This is a simple input 2"),
											    ("This is a simple pair 1", "This is a simple pair 2"),
											]

											# Simple input tests
											self.assertRaises(lowercase_    ,	tokenizer_r.encode    ,	lowercase_    ,	max_length=lowercase_    ,	padding="max_length"     )

											# Simple input
											self.assertRaises(lowercase_    ,	tokenizer_r.encode_plus    ,	lowercase_    ,	max_length=lowercase_    ,	padding="max_length"     )

											# Simple input
											self.assertRaises(
											    lowercase_    ,	tokenizer_r.batch_encode_plus    ,	lowercase_    ,	max_length=lowercase_    ,	padding="max_length"    ,	)

											# Pair input
											self.assertRaises(lowercase_    ,	tokenizer_r.encode    ,	lowercase_    ,	max_length=lowercase_    ,	padding="max_length"     )

											# Pair input
											self.assertRaises(lowercase_    ,	tokenizer_r.encode_plus    ,	lowercase_    ,	max_length=lowercase_    ,	padding="max_length"     )

											# Pair input
											self.assertRaises(
											    lowercase_    ,	tokenizer_r.batch_encode_plus    ,	lowercase_    ,	max_length=lowercase_    ,	padding="max_length"    ,	)



					def    A__		(			self     ):
							UpperCAmelCase_						=				GPTaTokenizer.from_pretrained(self.tmpdirname    ,	pad_token="<pad>"     )

							# Simple input
							UpperCAmelCase_						=				"This is a simple input"
							UpperCAmelCase_						=				["This is a simple input looooooooong", "This is a simple input"]
							UpperCAmelCase_						=				("This is a simple input", "This is a pair")
							UpperCAmelCase_						=				[
							    ("This is a simple input loooooong", "This is a simple input"),
							    ("This is a simple pair loooooong", "This is a simple pair"),
							]

							UpperCAmelCase_						=				tokenizer.pad_token_id

							UpperCAmelCase_						=				tokenizer(lowercase_    ,	padding="max_length"    ,	max_length=30    ,	return_tensors="np"     )
							UpperCAmelCase_						=				tokenizer(lowercase_    ,	padding=lowercase_    ,	truncate=lowercase_    ,	return_tensors="np"     )
							UpperCAmelCase_						=				tokenizer(*lowercase_    ,	padding="max_length"    ,	max_length=60    ,	return_tensors="np"     )
							UpperCAmelCase_						=				tokenizer(lowercase_    ,	padding=lowercase_    ,	truncate=lowercase_    ,	return_tensors="np"     )

							# s
							# test single string max_length padding
							self.assertEqual(out_s["input_ids"].shape[-1]    ,	30     )
							self.assertTrue(pad_token_id in out_s["input_ids"]     )
							self.assertTrue(0 in out_s["attention_mask"]     )

							# s2
							# test automatic padding
							self.assertEqual(out_sa["input_ids"].shape[-1]    ,	33     )
							# long slice doesn't have padding
							self.assertFalse(pad_token_id in out_sa["input_ids"][0]     )
							self.assertFalse(0 in out_sa["attention_mask"][0]     )
							# short slice does have padding
							self.assertTrue(pad_token_id in out_sa["input_ids"][1]     )
							self.assertTrue(0 in out_sa["attention_mask"][1]     )

							# p
							# test single pair max_length padding
							self.assertEqual(out_p["input_ids"].shape[-1]    ,	60     )
							self.assertTrue(pad_token_id in out_p["input_ids"]     )
							self.assertTrue(0 in out_p["attention_mask"]     )

							# p2
							# test automatic padding pair
							self.assertEqual(out_pa["input_ids"].shape[-1]    ,	52     )
							# long slice pair doesn't have padding
							self.assertFalse(pad_token_id in out_pa["input_ids"][0]     )
							self.assertFalse(0 in out_pa["attention_mask"][0]     )
							# short slice pair does have padding
							self.assertTrue(pad_token_id in out_pa["input_ids"][1]     )
							self.assertTrue(0 in out_pa["attention_mask"][1]     )



					def    A__		(			self     ):
							UpperCAmelCase_						=				"$$$"
							UpperCAmelCase_						=				GPTaTokenizer.from_pretrained(self.tmpdirname    ,	bos_token=lowercase_    ,	add_bos_token=lowercase_     )

							UpperCAmelCase_						=				"This is a simple input"
							UpperCAmelCase_						=				["This is a simple input 1", "This is a simple input 2"]

							UpperCAmelCase_						=				tokenizer.bos_token_id

							UpperCAmelCase_						=				tokenizer(lowercase_     )
							UpperCAmelCase_						=				tokenizer(lowercase_     )

							self.assertEqual(out_s.input_ids[0]    ,	lowercase_     )
							self.assertTrue(all(o[0] == bos_token_id for o in out_sa.input_ids     )     )

							UpperCAmelCase_						=				tokenizer.decode(out_s.input_ids     )
							UpperCAmelCase_						=				tokenizer.batch_decode(out_sa.input_ids     )

							self.assertEqual(decode_s.split()[0]    ,	lowercase_     )
							self.assertTrue(all(d.split()[0] == bos_token for d in decode_sa     )     )



					def    A__		(			self     ):
							pass



					def    A__		(			self     ):
							# TODO: change to self.get_tokenizers() when the fast version is implemented
							UpperCAmelCase_						=				[self.get_tokenizer(do_lower_case=lowercase_    ,	add_bos_token=lowercase_     )]
							for tokenizer in tokenizers:
									with self.subTest(f'''{tokenizer.__class__.__name__}'''     ):
											UpperCAmelCase_						=				"Encode this."
											UpperCAmelCase_						=				"This one too please."
											UpperCAmelCase_						=				tokenizer.encode(lowercase_    ,	add_special_tokens=lowercase_     )
											encoded_sequence += tokenizer.encode(lowercase_    ,	add_special_tokens=lowercase_     )
											UpperCAmelCase_						=				tokenizer.encode_plus(
											    lowercase_    ,	lowercase_    ,	add_special_tokens=lowercase_    ,	return_special_tokens_mask=lowercase_    ,	)
											UpperCAmelCase_						=				encoded_sequence_dict["input_ids"]
											UpperCAmelCase_						=				encoded_sequence_dict["special_tokens_mask"]
											self.assertEqual(len(lowercase_     )    ,	len(lowercase_     )     )

											UpperCAmelCase_						=				[
											    (x if not special_tokens_mask[i] else None) for i, x in enumerate(lowercase_     )
											]
											UpperCAmelCase_						=				[x for x in filtered_sequence if x is not None]
											self.assertEqual(lowercase_    ,	lowercase_     )





@require_tokenizers
class 	lowerCamelCase      (						unittest.TestCase  ):







					'''simple docstring'''







					def    A__		(			self     ):
							# More context:
							# https://huggingface.co/wjmcat/opt-350m-paddle/discussions/1
							# https://huggingface.slack.com/archives/C01N44FJDHT/p1653511495183519
							# https://github.com/huggingface/transformers/pull/17088#discussion_r871246439

							UpperCAmelCase_						=				AutoTokenizer.from_pretrained("facebook/opt-350m"    ,	from_slow=lowercase_     )
							UpperCAmelCase_						=				"A photo of a cat"

							UpperCAmelCase_						=				tokenizer.encode(
							    lowercase_    ,	)
							self.assertEqual(lowercase_    ,	[2, 250, 1345, 9, 10, 4758]     )
							tokenizer.save_pretrained("test_opt"     )

							UpperCAmelCase_						=				AutoTokenizer.from_pretrained("./test_opt"     )
							UpperCAmelCase_						=				tokenizer.encode(
							    lowercase_    ,	)
							self.assertEqual(lowercase_    ,	[2, 250, 1345, 9, 10, 4758]     )



					def    A__		(			self     ):
							UpperCAmelCase_						=				AutoTokenizer.from_pretrained("facebook/opt-350m"    ,	use_slow=lowercase_     )
							UpperCAmelCase_						=				"A photo of a cat"

							UpperCAmelCase_						=				tokenizer.encode(
							    lowercase_    ,	)
							# Same as above
							self.assertEqual(lowercase_    ,	[2, 250, 1345, 9, 10, 4758]     )



					@unittest.skip("This test is failing because of a bug in the fast tokenizer"     )
					def    A__		(			self     ):
							UpperCAmelCase_						=				AutoTokenizer.from_pretrained("facebook/opt-350m"    ,	from_slow=lowercase_     )

							UpperCAmelCase_						=				"bos"
							UpperCAmelCase_						=				tokenizer.get_vocab()["bos"]

							UpperCAmelCase_						=				"A photo of a cat"
							UpperCAmelCase_						=				tokenizer.encode(
							    lowercase_    ,	)
							# We changed the bos token
							self.assertEqual(lowercase_    ,	[3_1957, 250, 1345, 9, 10, 4758]     )
							tokenizer.save_pretrained("./tok"     )
							UpperCAmelCase_						=				AutoTokenizer.from_pretrained("./tok"     )
							self.assertTrue(tokenizer.is_fast     )
							UpperCAmelCase_						=				tokenizer.encode(
							    lowercase_    ,	)
							self.assertEqual(lowercase_    ,	[3_1957, 250, 1345, 9, 10, 4758]     )






import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ....tokenization_utils_fast import PreTrainedTokenizerFast
from ....utils import logging
from .tokenization_retribert import RetriBertTokenizer


SCREAMING_SNAKE_CASE     				=						logging.get_logger(__name__)

SCREAMING_SNAKE_CASE     				=						{"vocab_file": "vocab.txt", "tokenizer_file": "tokenizer.json"}

SCREAMING_SNAKE_CASE     				=						{
    "vocab_file": {
        "yjernite/retribert-base-uncased": (
            "https://huggingface.co/yjernite/retribert-base-uncased/resolve/main/vocab.txt"
        ),
    },
    "tokenizer_file": {
        "yjernite/retribert-base-uncased": (
            "https://huggingface.co/yjernite/retribert-base-uncased/resolve/main/tokenizer.json"
        ),
    },
}

SCREAMING_SNAKE_CASE     				=						{
    "yjernite/retribert-base-uncased": 512,
}


SCREAMING_SNAKE_CASE     				=						{
    "yjernite/retribert-base-uncased": {"do_lower_case": True},
}



class 	lowerCamelCase      (						lowercase__  ):







					'''simple docstring'''







					lowerCAmelCase_				:    List[str]									=  VOCAB_FILES_NAMES
					lowerCAmelCase_				:    int									=  PRETRAINED_VOCAB_FILES_MAP
					lowerCAmelCase_				:    Any									=  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					lowerCAmelCase_				:    Dict									=  PRETRAINED_INIT_CONFIGURATION
					lowerCAmelCase_				:    List[str]									=  RetriBertTokenizer
					lowerCAmelCase_				:    Union[str, Any]									=  ['input_ids', 'attention_mask']



					def __init__(			self    ,	lowerCAmelCase=None    ,	lowerCAmelCase=None    ,	lowerCAmelCase=True    ,	lowerCAmelCase="[UNK]"    ,	lowerCAmelCase="[SEP]"    ,	lowerCAmelCase="[PAD]"    ,	lowerCAmelCase="[CLS]"    ,	lowerCAmelCase="[MASK]"    ,	lowerCAmelCase=True    ,	lowerCAmelCase=None    ,	**lowerCAmelCase    ,	):
							super().__init__(
							    lowerCAmelCase    ,	tokenizer_file=lowerCAmelCase    ,	do_lower_case=lowerCAmelCase    ,	unk_token=lowerCAmelCase    ,	sep_token=lowerCAmelCase    ,	pad_token=lowerCAmelCase    ,	cls_token=lowerCAmelCase    ,	mask_token=lowerCAmelCase    ,	tokenize_chinese_chars=lowerCAmelCase    ,	strip_accents=lowerCAmelCase    ,	**lowerCAmelCase    ,	)

							UpperCAmelCase_						=				json.loads(self.backend_tokenizer.normalizer.__getstate__()     )
							if (
							    normalizer_state.get("lowercase"    ,	lowerCAmelCase     ) != do_lower_case
							    or normalizer_state.get("strip_accents"    ,	lowerCAmelCase     ) != strip_accents
							    or normalizer_state.get("handle_chinese_chars"    ,	lowerCAmelCase     ) != tokenize_chinese_chars
							):
									UpperCAmelCase_						=				getattr(lowerCAmelCase    ,	normalizer_state.pop("type"     )     )
									UpperCAmelCase_						=				do_lower_case
									UpperCAmelCase_						=				strip_accents
									UpperCAmelCase_						=				tokenize_chinese_chars
									UpperCAmelCase_						=				normalizer_class(**lowerCAmelCase     )

							UpperCAmelCase_						=				do_lower_case



					def    A__		(			self    ,	lowerCAmelCase    ,	lowerCAmelCase=None     ):
							UpperCAmelCase_						=				[self.cls_token_id] + token_ids_a + [self.sep_token_id]

							if token_ids_a:
									output += token_ids_a + [self.sep_token_id]

							return output



					def    A__		(			self    ,	lowerCAmelCase    ,	lowerCAmelCase = None     ):
							UpperCAmelCase_						=				[self.sep_token_id]
							UpperCAmelCase_						=				[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     ) * [0] + len(token_ids_a + sep     ) * [1]



					def    A__		(			self    ,	lowerCAmelCase    ,	lowerCAmelCase = None     ):
							UpperCAmelCase_						=				self._tokenizer.model.save(lowerCAmelCase    ,	name=lowerCAmelCase     )
							return tuple(lowerCAmelCase     )

