




'''simple docstring'''







import json
import os
import unittest

from transformers import HerbertTokenizer, HerbertTokenizerFast
from transformers.models.herbert.tokenization_herbert import VOCAB_FILES_NAMES
from transformers.testing_utils import get_tests_dir, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin





@require_tokenizers
class 					lowerCamelCase_							(	UpperCAmelCase_,	unittest.TestCase							):




					'''simple docstring'''






					lowercase__   =			HerbertTokenizer
					lowercase__   =			HerbertTokenizerFast
					lowercase__   =			True






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

							# Use a simpler test file without japanese/chinese characters
							with open(f'''{get_tests_dir()}/fixtures/sample_text_no_unicode.txt''',  encoding="utf-8"			) as f_data:
									_snake_case     	=	f_data.read().replace("\n\n",  "\n"			).strip()

							_snake_case     	=	[
							    "<s>",
							    "</s>",
							    "l",
							    "o",
							    "w",
							    "e",
							    "r",
							    "s",
							    "t",
							    "i",
							    "d",
							    "n",
							    "w</w>",
							    "r</w>",
							    "t</w>",
							    "lo",
							    "low",
							    "er</w>",
							    "low</w>",
							    "lowest</w>",
							    "newer</w>",
							    "wider</w>",
							    ",</w>",
							    "<unk>",
							]
							_snake_case     	=	dict(zip(__UpperCamelCase,  range(len(__UpperCamelCase			)			)			)			)
							_snake_case     	=	["l o 123", "lo w 1456", "e r</w> 1789", ""]

							_snake_case     	=	os.path.join(self.tmpdirname,  VOCAB_FILES_NAMES["vocab_file"]			)
							_snake_case     	=	os.path.join(self.tmpdirname,  VOCAB_FILES_NAMES["merges_file"]			)
							with open(self.vocab_file,  "w"			) as fp:
									fp.write(json.dumps(__UpperCamelCase			)			)
							with open(self.merges_file,  "w"			) as fp:
									fp.write("\n".join(__UpperCamelCase			)			)






					def     __SCREAMING_SNAKE_CASE     (   self,  __UpperCamelCase			):
							_snake_case     	=	"lower newer"
							_snake_case     	=	"lower newer"
							return input_text, output_text






					def     __SCREAMING_SNAKE_CASE     (   self			):
							_snake_case     	=	self.tokenizer_class(vocab_file=self.vocab_file,  merges_file=self.merges_file			)

							_snake_case     	=	"lower"
							_snake_case     	=	["low", "er</w>"]
							_snake_case     	=	tokenizer.tokenize(__UpperCamelCase			)
							self.assertListEqual(__UpperCamelCase,  __UpperCamelCase			)

							_snake_case     	=	tokens + ["<unk>"]
							_snake_case     	=	[16, 17, 23]
							self.assertListEqual(tokenizer.convert_tokens_to_ids(__UpperCamelCase			),  __UpperCamelCase			)






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

							_snake_case     	=	self.get_tokenizer()
							_snake_case     	=	self.get_rust_tokenizer()

							_snake_case     	=	"lower,newer"

							_snake_case     	=	tokenizer.tokenize(__UpperCamelCase			)
							_snake_case     	=	rust_tokenizer.tokenize(__UpperCamelCase			)
							self.assertListEqual(__UpperCamelCase,  __UpperCamelCase			)

							_snake_case     	=	tokenizer.encode(__UpperCamelCase,  add_special_tokens=__UpperCamelCase			)
							_snake_case     	=	rust_tokenizer.encode(__UpperCamelCase,  add_special_tokens=__UpperCamelCase			)
							self.assertListEqual(__UpperCamelCase,  __UpperCamelCase			)

							_snake_case     	=	self.get_rust_tokenizer()
							_snake_case     	=	tokenizer.encode(__UpperCamelCase			)
							_snake_case     	=	rust_tokenizer.encode(__UpperCamelCase			)
							self.assertListEqual(__UpperCamelCase,  __UpperCamelCase			)






					@slow
					def     __SCREAMING_SNAKE_CASE     (   self			):
							_snake_case     	=	self.tokenizer_class.from_pretrained("allegro/herbert-base-cased"			)

							_snake_case     	=	tokenizer.encode("konstruowanie sekwencji",  add_special_tokens=__UpperCamelCase			)
							_snake_case     	=	tokenizer.encode("konstruowanie wielu sekwencji",  add_special_tokens=__UpperCamelCase			)

							_snake_case     	=	tokenizer.build_inputs_with_special_tokens(__UpperCamelCase			)
							_snake_case     	=	tokenizer.build_inputs_with_special_tokens(__UpperCamelCase,  __UpperCamelCase			)

							assert encoded_sentence == [0] + text + [2]
							assert encoded_pair == [0] + text + [2] + text_a + [2]











'''simple docstring'''







import os
import tempfile
import unittest
from typing import List

from transformers.models.esm.tokenization_esm import VOCAB_FILES_NAMES, EsmTokenizer
from transformers.testing_utils import require_tokenizers
from transformers.tokenization_utils import PreTrainedTokenizer
from transformers.tokenization_utils_base import PreTrainedTokenizerBase





@require_tokenizers
class 					lowerCamelCase_							(	unittest.TestCase							):




					'''simple docstring'''






					lowercase__   =			EsmTokenizer






					def     __SCREAMING_SNAKE_CASE     (   self			):
							super().setUp()
							_snake_case     	=	tempfile.mkdtemp()
							# fmt: off
							_snake_case     	=	["<cls>", "<pad>", "<eos>", "<unk>", "L", "A", "G", "V", "S", "E", "R", "T", "I", "D", "P", "K", "Q", "N", "F", "Y", "M", "H", "W", "C", "X", "B", "U", "Z", "O", ".", "-", "<null_1>", "<mask>"]  # noqa: E501
							# fmt: on
							_snake_case     	=	os.path.join(self.tmpdirname,  VOCAB_FILES_NAMES["vocab_file"]			)
							with open(self.vocab_file,  "w",  encoding="utf-8"			) as vocab_writer:
									vocab_writer.write("".join([x + "\n" for x in vocab_tokens]			)			)






					def     __SCREAMING_SNAKE_CASE     (   self,  **__UpperCamelCase			):
							return [self.get_tokenizer(**__UpperCamelCase			)]






					def     __SCREAMING_SNAKE_CASE     (   self,  **__UpperCamelCase			):
							return self.tokenizer_class.from_pretrained(self.tmpdirname,  **__UpperCamelCase			)






					def     __SCREAMING_SNAKE_CASE     (   self			):
							_snake_case     	=	self.tokenizer_class(self.vocab_file			)

							_snake_case     	=	tokenizer.tokenize("LAGVS"			)
							self.assertListEqual(__UpperCamelCase,  ["L", "A", "G", "V", "S"]			)
							self.assertListEqual(tokenizer.convert_tokens_to_ids(__UpperCamelCase			),  [4, 5, 6, 7, 8]			)






					def     __SCREAMING_SNAKE_CASE     (   self			):
							_snake_case     	=	self.tokenizer_class(self.vocab_file			)

							_snake_case     	=	"LAGVS"
							self.assertListEqual(tokenizer.encode(__UpperCamelCase			),  [0, 4, 5, 6, 7, 8, 2]			)






					def     __SCREAMING_SNAKE_CASE     (   self			):
							_snake_case     	=	self.tokenizer_class(self.vocab_file			)

							_snake_case     	=	["LAGVS", "WCB"]
							_snake_case     	=	tokenizer(__UpperCamelCase,  padding=__UpperCamelCase			)["input_ids"]

							self.assertListEqual(__UpperCamelCase,  [[0, 4, 5, 6, 7, 8, 2], [0, 22, 23, 25, 2]]			)






					def     __SCREAMING_SNAKE_CASE     (   self			):
							_snake_case     	=	self.tokenizer_class(self.vocab_file			)

							_snake_case     	=	["LAGVS", "WCB"]
							_snake_case     	=	tokenizer(__UpperCamelCase,  padding=__UpperCamelCase			)["input_ids"]

							self.assertListEqual(__UpperCamelCase,  [[0, 4, 5, 6, 7, 8, 2], [0, 22, 23, 25, 2, 1, 1]]			)






					def     __SCREAMING_SNAKE_CASE     (   self			):
							_snake_case     	=	self.get_tokenizers(fast=__UpperCamelCase			)
							for tokenizer in tokenizers:
									with self.subTest(f'''{tokenizer.__class__.__name__}'''			):
											_snake_case     	=	"<unk>"
											_snake_case     	=	"<mask>"

											_snake_case     	=	tokenizer.tokenize(__UpperCamelCase			)
											_snake_case     	=	tokenizer.tokenize(__UpperCamelCase			)

											self.assertEqual(len(__UpperCamelCase			),  1			)
											self.assertEqual(len(__UpperCamelCase			),  1			)
											self.assertEqual(token_a[0],  __UpperCamelCase			)
											self.assertEqual(token_a[0],  __UpperCamelCase			)





