




'''simple docstring'''







import os
import unittest

from transformers.models.bertweet.tokenization_bertweet import VOCAB_FILES_NAMES, BertweetTokenizer

from ...test_tokenization_common import TokenizerTesterMixin





class 					lowerCamelCase_							(	_A,	unittest.TestCase							):




					'''simple docstring'''






					lowercase__   =			BertweetTokenizer
					lowercase__   =			False






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

							# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
							_snake_case     	=	["I", "m", "V@@", "R@@", "r", "e@@"]
							_snake_case     	=	dict(zip(UpperCamelCase__,  range(len(UpperCamelCase__			)			)			)			)
							_snake_case     	=	["#version: 0.2", "a m</w>"]
							_snake_case     	=	{"unk_token": "<unk>"}

							_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",  encoding="utf-8"			) as fp:
									for token in vocab_tokens:
											fp.write(f'''{token} {vocab_tokens[token]}\n'''			)
							with open(self.merges_file,  "w",  encoding="utf-8"			) as fp:
									fp.write("\n".join(UpperCamelCase__			)			)






					def     __SCREAMING_SNAKE_CASE     (   self,  **__UpperCamelCase			):
							kwargs.update(self.special_tokens_map			)
							return BertweetTokenizer.from_pretrained(self.tmpdirname,  **UpperCamelCase__			)






					def     __SCREAMING_SNAKE_CASE     (   self,  __UpperCamelCase			):
							_snake_case     	=	"I am VinAI Research"
							_snake_case     	=	"I <unk> m V<unk> <unk> <unk> I Re<unk> e<unk> <unk> <unk> <unk>"
							return input_text, output_text






					def     __SCREAMING_SNAKE_CASE     (   self			):
							_snake_case     	=	BertweetTokenizer(self.vocab_file,  self.merges_file,  **self.special_tokens_map			)
							_snake_case     	=	"I am VinAI Research"
							_snake_case     	=	"I a@@ m V@@ i@@ n@@ A@@ I R@@ e@@ s@@ e@@ a@@ r@@ c@@ h".split()
							_snake_case     	=	tokenizer.tokenize(UpperCamelCase__			)
							self.assertListEqual(UpperCamelCase__,  UpperCamelCase__			)

							_snake_case     	=	tokens + [tokenizer.unk_token]

							_snake_case     	=	[4, 3, 5, 6, 3, 3, 3, 4, 7, 9, 3, 9, 3, 3, 3, 3, 3]
							self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase__			),  UpperCamelCase__			)











'''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			)





