




'''simple docstring'''

import os
import sys
import tempfile
import unittest
import unittest.mock as mock
from pathlib import Path

from huggingface_hub import HfFolder, delete_repo
from huggingface_hub.file_download import http_get
from requests.exceptions import HTTPError

from transformers import (
    AlbertTokenizer,
    AutoTokenizer,
    BertTokenizer,
    BertTokenizerFast,
    GPTaTokenizerFast,
    is_tokenizers_available,
)
from transformers.testing_utils import TOKEN, USER, is_staging_test, require_tokenizers
from transformers.tokenization_utils import Trie


sys.path.append(str(Path(__file__).parent.parent / '''utils'''))

from test_module.custom_tokenization import CustomTokenizer  # noqa E402


if is_tokenizers_available():
						from test_module.custom_tokenization_fast import CustomTokenizerFast



class 		SCREAMING_SNAKE_CASE__  (			unittest.TestCase	):





			def 							A (      self						:    Optional[Any]							):



						"""simple docstring"""




						__snake_case			=		mock.Mock()
						__snake_case			=		500
						__snake_case			=		{}
						__snake_case			=		HTTPError
						__snake_case			=		{}

						# Download this model to make sure it's in the cache.
						__snake_case			=		BertTokenizer.from_pretrained("hf-internal-testing/tiny-random-bert"							)

						# Under the mock environment we get a 500 error when trying to reach the tokenizer.
						with mock.patch("requests.Session.request"      ,		return_value=a_							) as mock_head:
									__snake_case			=		BertTokenizer.from_pretrained("hf-internal-testing/tiny-random-bert"							)
									# This check we did call the fake head request
									mock_head.assert_called()





			@require_tokenizers
			def 							A (      self						:    Optional[Any]							):



						"""simple docstring"""




						__snake_case			=		mock.Mock()
						__snake_case			=		500
						__snake_case			=		{}
						__snake_case			=		HTTPError
						__snake_case			=		{}

						# Download this model to make sure it's in the cache.
						__snake_case			=		GPTaTokenizerFast.from_pretrained("gpt2"							)

						# Under the mock environment we get a 500 error when trying to reach the tokenizer.
						with mock.patch("requests.Session.request"      ,		return_value=a_							) as mock_head:
									__snake_case			=		GPTaTokenizerFast.from_pretrained("gpt2"							)
									# This check we did call the fake head request
									mock_head.assert_called()





			def 							A (      self						:    Optional[Any]							):



						"""simple docstring"""




						try:
									__snake_case			=		tempfile.mktemp()
									with open(a_      ,		"wb"							) as f:
												http_get("https://huggingface.co/albert-base-v1/resolve/main/spiece.model"      ,		a_							)

									__snake_case			=		AlbertTokenizer.from_pretrained(a_							)
						finally:
									os.remove(a_							)

						# Supporting this legacy load introduced a weird bug where the tokenizer would load local files if they are in
						# the current folder and have the right name.
						if os.path.isfile("tokenizer.json"							):
									# We skip the test if the user has a `tokenizer.json` in this folder to avoid deleting it.
									return
						try:
									with open("tokenizer.json"      ,		"wb"							) as f:
												http_get("https://huggingface.co/hf-internal-testing/tiny-random-bert/blob/main/tokenizer.json"      ,		a_							)
									__snake_case			=		AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-gpt2"							)
									# The tiny random BERT has a vocab size of 1024, tiny gpt2 as a vocab size of 1000
									self.assertEqual(tokenizer.vocab_size      ,		1_000							)
									# Tokenizer should depend on the remote checkpoint, not the local tokenizer.json file.

						finally:
									os.remove("tokenizer.json"							)






			def 							A (      self						:    str							):



						"""simple docstring"""




						__snake_case			=		AlbertTokenizer.from_pretrained("https://huggingface.co/albert-base-v1/resolve/main/spiece.model"							)







@is_staging_test
class 		SCREAMING_SNAKE_CASE__  (			unittest.TestCase	):
			__SCREAMING_SNAKE_CASE    =			["""[UNK]""", """[CLS]""", """[SEP]""", """[PAD]""", """[MASK]""", """bla""", """blou"""]





			@classmethod
			def 							A (      cls						:    List[Any]							):



						"""simple docstring"""




						__snake_case			=		TOKEN
						HfFolder.save_token(a_							)





			@classmethod
			def 							A (      cls						:    List[Any]							):



						"""simple docstring"""




						try:
									delete_repo(token=cls._token      ,		repo_id="test-tokenizer"							)
						except HTTPError:
									pass

						try:
									delete_repo(token=cls._token      ,		repo_id="valid_org/test-tokenizer-org"							)
						except HTTPError:
									pass

						try:
									delete_repo(token=cls._token      ,		repo_id="test-dynamic-tokenizer"							)
						except HTTPError:
									pass





			def 							A (      self						:    int							):



						"""simple docstring"""




						with tempfile.TemporaryDirectory() as tmp_dir:
									__snake_case			=		os.path.join(a_      ,		"vocab.txt"							)
									with open(a_      ,		"w"      ,		encoding="utf-8"							) as vocab_writer:
												vocab_writer.write("".join([x + "\n" for x in self.vocab_tokens]							)							)
									__snake_case			=		BertTokenizer(a_							)

						tokenizer.push_to_hub("test-tokenizer"      ,		use_auth_token=self._token							)
						__snake_case			=		BertTokenizer.from_pretrained(f'''{USER}/test-tokenizer'''							)
						self.assertDictEqual(new_tokenizer.vocab      ,		tokenizer.vocab							)

						# Reset repo
						delete_repo(token=self._token      ,		repo_id="test-tokenizer"							)

						# Push to hub via save_pretrained
						with tempfile.TemporaryDirectory() as tmp_dir:
									tokenizer.save_pretrained(a_      ,		repo_id="test-tokenizer"      ,		push_to_hub=a_      ,		use_auth_token=self._token							)

						__snake_case			=		BertTokenizer.from_pretrained(f'''{USER}/test-tokenizer'''							)
						self.assertDictEqual(new_tokenizer.vocab      ,		tokenizer.vocab							)





			def 							A (      self						:    int							):



						"""simple docstring"""




						with tempfile.TemporaryDirectory() as tmp_dir:
									__snake_case			=		os.path.join(a_      ,		"vocab.txt"							)
									with open(a_      ,		"w"      ,		encoding="utf-8"							) as vocab_writer:
												vocab_writer.write("".join([x + "\n" for x in self.vocab_tokens]							)							)
									__snake_case			=		BertTokenizer(a_							)

						tokenizer.push_to_hub("valid_org/test-tokenizer-org"      ,		use_auth_token=self._token							)
						__snake_case			=		BertTokenizer.from_pretrained("valid_org/test-tokenizer-org"							)
						self.assertDictEqual(new_tokenizer.vocab      ,		tokenizer.vocab							)

						# Reset repo
						delete_repo(token=self._token      ,		repo_id="valid_org/test-tokenizer-org"							)

						# Push to hub via save_pretrained
						with tempfile.TemporaryDirectory() as tmp_dir:
									tokenizer.save_pretrained(
									    a_      ,		repo_id="valid_org/test-tokenizer-org"      ,		push_to_hub=a_      ,		use_auth_token=self._token							)

						__snake_case			=		BertTokenizer.from_pretrained("valid_org/test-tokenizer-org"							)
						self.assertDictEqual(new_tokenizer.vocab      ,		tokenizer.vocab							)






			@require_tokenizers
			def 							A (      self						:    List[str]							):



						"""simple docstring"""




						CustomTokenizer.register_for_auto_class()
						with tempfile.TemporaryDirectory() as tmp_dir:
									__snake_case			=		os.path.join(a_      ,		"vocab.txt"							)
									with open(a_      ,		"w"      ,		encoding="utf-8"							) as vocab_writer:
												vocab_writer.write("".join([x + "\n" for x in self.vocab_tokens]							)							)
									__snake_case			=		CustomTokenizer(a_							)

						# No fast custom tokenizer
						tokenizer.push_to_hub("test-dynamic-tokenizer"      ,		use_auth_token=self._token							)

						__snake_case			=		AutoTokenizer.from_pretrained(f'''{USER}/test-dynamic-tokenizer'''      ,		trust_remote_code=a_							)
						# Can't make an isinstance check because the new_model.config is from the CustomTokenizer class of a dynamic module
						self.assertEqual(tokenizer.__class__.__name__      ,		"CustomTokenizer"							)

						# Fast and slow custom tokenizer
						CustomTokenizerFast.register_for_auto_class()
						with tempfile.TemporaryDirectory() as tmp_dir:
									__snake_case			=		os.path.join(a_      ,		"vocab.txt"							)
									with open(a_      ,		"w"      ,		encoding="utf-8"							) as vocab_writer:
												vocab_writer.write("".join([x + "\n" for x in self.vocab_tokens]							)							)

									__snake_case			=		BertTokenizerFast.from_pretrained(a_							)
									bert_tokenizer.save_pretrained(a_							)
									__snake_case			=		CustomTokenizerFast.from_pretrained(a_							)

						tokenizer.push_to_hub("test-dynamic-tokenizer"      ,		use_auth_token=self._token							)

						__snake_case			=		AutoTokenizer.from_pretrained(f'''{USER}/test-dynamic-tokenizer'''      ,		trust_remote_code=a_							)
						# Can't make an isinstance check because the new_model.config is from the FakeConfig class of a dynamic module
						self.assertEqual(tokenizer.__class__.__name__      ,		"CustomTokenizerFast"							)
						__snake_case			=		AutoTokenizer.from_pretrained(
						    f'''{USER}/test-dynamic-tokenizer'''      ,		use_fast=a_      ,		trust_remote_code=a_							)
						# Can't make an isinstance check because the new_model.config is from the FakeConfig class of a dynamic module
						self.assertEqual(tokenizer.__class__.__name__      ,		"CustomTokenizer"							)







class 		SCREAMING_SNAKE_CASE__  (			unittest.TestCase	):





			def 							A (      self						:    Optional[int]							):



						"""simple docstring"""




						__snake_case			=		Trie()
						trie.add("Hello 友達"							)
						self.assertEqual(trie.data      ,		{"H": {"e": {"l": {"l": {"o": {" ": {"友": {"達": {"": 1}}}}}}}}}							)
						trie.add("Hello"							)
						trie.data
						self.assertEqual(trie.data      ,		{"H": {"e": {"l": {"l": {"o": {"": 1, " ": {"友": {"達": {"": 1}}}}}}}}}							)





			def 							A (      self						:    str							):



						"""simple docstring"""




						__snake_case			=		Trie()
						self.assertEqual(trie.split("[CLS] This is a extra_id_100"							)      ,		["[CLS] This is a extra_id_100"]							)
						trie.add("[CLS]"							)
						trie.add("extra_id_1"							)
						trie.add("extra_id_100"							)
						self.assertEqual(trie.split("[CLS] This is a extra_id_100"							)      ,		["[CLS]", " This is a ", "extra_id_100"]							)





			def 							A (      self						:    Optional[Any]							):



						"""simple docstring"""




						__snake_case			=		Trie()
						trie.add("A"							)
						self.assertEqual(trie.split("ABC"							)      ,		["A", "BC"]							)
						self.assertEqual(trie.split("BCA"							)      ,		["BC", "A"]							)





			def 							A (      self						:    List[Any]							):



						"""simple docstring"""




						__snake_case			=		Trie()
						trie.add("TOKEN]"							)
						trie.add("[SPECIAL_TOKEN]"							)
						self.assertEqual(trie.split("This is something [SPECIAL_TOKEN]"							)      ,		["This is something ", "[SPECIAL_TOKEN]"]							)





			def 							A (      self						:    str							):



						"""simple docstring"""




						__snake_case			=		Trie()
						trie.add("A"							)
						trie.add("P"							)
						trie.add("[SPECIAL_TOKEN]"							)
						self.assertEqual(trie.split("This is something [SPECIAL_TOKEN]"							)      ,		["This is something ", "[SPECIAL_TOKEN]"]							)





			def 							A (      self						:    Optional[int]							):



						"""simple docstring"""




						__snake_case			=		Trie()
						trie.add("AB"							)
						trie.add("B"							)
						trie.add("C"							)
						self.assertEqual(trie.split("ABC"							)      ,		["AB", "C"]							)





			def 							A (      self						:    Tuple							):



						"""simple docstring"""




						__snake_case			=		Trie()
						trie.add("ABC"							)
						trie.add("B"							)
						trie.add("CD"							)
						self.assertEqual(trie.split("ABCD"							)      ,		["ABC", "D"]							)






			def 							A (      self						:    Any							):



						"""simple docstring"""




						__snake_case			=		Trie()
						__snake_case			=		trie.cut_text("ABC"      ,		[0, 0, 2, 1, 2, 3]							)
						self.assertEqual(a_      ,		["AB", "C"]							)










a_    :  Dict						  =		8.314462  # Unit - J mol-1 K-1

def      __lowercase(						UpperCAmelCase__ , UpperCAmelCase__ , UpperCAmelCase__			):


      """simple docstring"""



      if moles < 0 or kelvin < 0 or volume < 0:
            raise ValueError("Invalid inputs. Enter positive value."			)
      return moles * kelvin * UNIVERSAL_GAS_CONSTANT / volume

def      __lowercase(						UpperCAmelCase__ , UpperCAmelCase__ , UpperCAmelCase__			):


      """simple docstring"""



      if moles < 0 or kelvin < 0 or pressure < 0:
            raise ValueError("Invalid inputs. Enter positive value."			)
      return moles * kelvin * UNIVERSAL_GAS_CONSTANT / pressure


if __name__ == "__main__":
     from doctest import testmod

     testmod()