


"""simple docstring"""




import json
import os
import shutil
import tempfile
import unittest

from transformers import BatchEncoding, CanineTokenizer
from transformers.testing_utils import require_tokenizers, require_torch
from transformers.tokenization_utils import AddedToken
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin




class 			__snake_case   (lowerCamelCase			,		unittest.TestCase  ):
							__a					 =       CanineTokenizer
							__a					 =       False




							def   __a   (     self:    Union[str, Any]   ):
										super().setUp()
										__lowerCamelCase          =      CanineTokenizer()
										tokenizer.save_pretrained(self.tmpdirname   )




							@cached_property
							def   __a   (     self:    Any   ):
										return CanineTokenizer.from_pretrained("""google/canine-s"""   )




							def   __a   (     self:    List[Any]     ,							**A_:    List[str]   ):
										__lowerCamelCase          =      self.tokenizer_class.from_pretrained(self.tmpdirname     ,							**A_   )
										__lowerCamelCase          =      10_24
										return tokenizer




							@require_torch
							def   __a   (     self:    Tuple   ):
										__lowerCamelCase          =      self.canine_tokenizer
										__lowerCamelCase          =      ["""Life is like a box of chocolates.""", """You never know what you're gonna get."""]
										# fmt: off
										__lowerCamelCase          =      [5_73_44, 76, 1_05, 1_02, 1_01, 32, 1_05, 1_15, 32, 1_08, 1_05, 1_07, 1_01, 32, 97, 32, 98, 1_11, 1_20, 32, 1_11, 1_02, 32, 99, 1_04, 1_11, 99, 1_11, 1_08, 97, 1_16, 1_01, 1_15, 46, 5_73_45, 0, 0, 0, 0]
										# fmt: on
										__lowerCamelCase          =      tokenizer(A_     ,							padding=A_     ,							return_tensors="""pt"""   )
										self.assertIsInstance(A_     ,							A_   )

										__lowerCamelCase          =      list(batch.input_ids.numpy()[0]   )

										self.assertListEqual(A_     ,							A_   )

										self.assertEqual((2, 39)     ,							batch.input_ids.shape   )
										self.assertEqual((2, 39)     ,							batch.attention_mask.shape   )




							@require_torch
							def   __a   (     self:    Optional[int]   ):
										__lowerCamelCase          =      self.canine_tokenizer
										__lowerCamelCase          =      ["""Once there was a man.""", """He wrote a test in HuggingFace Tranformers."""]
										__lowerCamelCase          =      tokenizer(A_     ,							padding=A_     ,							return_tensors="""pt"""   )
										# check if input_ids, attention_mask and token_type_ids are returned
										self.assertIn("""input_ids"""     ,							A_   )
										self.assertIn("""attention_mask"""     ,							A_   )
										self.assertIn("""token_type_ids"""     ,							A_   )




							@require_torch
							def   __a   (     self:    Union[str, Any]   ):
										__lowerCamelCase          =      self.canine_tokenizer
										__lowerCamelCase          =      [
										    """What's the weater?""",
										    """It's about 25 degrees.""",
										]
										__lowerCamelCase          =      tokenizer(
										    text_target=A_     ,							max_length=32     ,							padding="""max_length"""     ,							truncation=A_     ,							return_tensors="""pt"""   )
										self.assertEqual(32     ,							targets["""input_ids"""].shape[1]   )




							def   __a   (     self:    Tuple   ):
										# safety check on max_len default value so we are sure the test works
										__lowerCamelCase          =      self.get_tokenizers()
										for tokenizer in tokenizers:
													with self.subTest(f'{tokenizer.__class__.__name__}'   ):
																self.assertNotEqual(tokenizer.model_max_length     ,							42   )

        # Now let's start the test
										__lowerCamelCase          =      self.get_tokenizers()
										for tokenizer in tokenizers:
													with self.subTest(f'{tokenizer.__class__.__name__}'   ):
																# Isolate this from the other tests because we save additional tokens/etc
																__lowerCamelCase          =      tempfile.mkdtemp()

																__lowerCamelCase          =      """ He is very happy, UNwant\u00E9d,running"""
																__lowerCamelCase          =      tokenizer.encode(A_     ,							add_special_tokens=A_   )
																tokenizer.save_pretrained(A_   )

																__lowerCamelCase          =      tokenizer.__class__.from_pretrained(A_   )
																__lowerCamelCase          =      after_tokenizer.encode(A_     ,							add_special_tokens=A_   )
																self.assertListEqual(A_     ,							A_   )

																shutil.rmtree(A_   )

										__lowerCamelCase          =      self.get_tokenizers(model_max_length=42   )
										for tokenizer in tokenizers:
													with self.subTest(f'{tokenizer.__class__.__name__}'   ):
																# Isolate this from the other tests because we save additional tokens/etc
																__lowerCamelCase          =      tempfile.mkdtemp()

																__lowerCamelCase          =      """ He is very happy, UNwant\u00E9d,running"""

																__lowerCamelCase          =      tokenizer.additional_special_tokens

																# We can add a new special token for Canine as follows:
																__lowerCamelCase          =      chr(0XE007   )
																additional_special_tokens.append(A_   )
																tokenizer.add_special_tokens({"""additional_special_tokens""": additional_special_tokens}   )
																__lowerCamelCase          =      tokenizer.encode(A_     ,							add_special_tokens=A_   )
																tokenizer.save_pretrained(A_   )

																__lowerCamelCase          =      tokenizer.__class__.from_pretrained(A_   )
																__lowerCamelCase          =      after_tokenizer.encode(A_     ,							add_special_tokens=A_   )
																self.assertListEqual(A_     ,							A_   )
																self.assertIn(A_     ,							after_tokenizer.additional_special_tokens   )
																self.assertEqual(after_tokenizer.model_max_length     ,							42   )

																__lowerCamelCase          =      tokenizer.__class__.from_pretrained(A_     ,							model_max_length=43   )
																self.assertEqual(tokenizer.model_max_length     ,							43   )

																shutil.rmtree(A_   )




							def   __a   (     self:    Optional[Any]   ):
										__lowerCamelCase          =      self.get_tokenizers(do_lower_case=A_   )
										for tokenizer in tokenizers:
													with self.subTest(f'{tokenizer.__class__.__name__}'   ):
																__lowerCamelCase     ,__lowerCamelCase          =      self.get_clean_sequence(A_   )

																# a special token for Canine can be defined as follows:
																__lowerCamelCase          =      0XE005
																__lowerCamelCase          =      chr(A_   )

																tokenizer.add_special_tokens({"""cls_token""": special_token}   )
																__lowerCamelCase          =      tokenizer.encode(A_     ,							add_special_tokens=A_   )
																self.assertEqual(len(A_   )     ,							1   )

																__lowerCamelCase          =      tokenizer.decode(ids + encoded_special_token     ,							clean_up_tokenization_spaces=A_   )
																__lowerCamelCase          =      tokenizer.encode(A_     ,							add_special_tokens=A_   )

																__lowerCamelCase          =      tokenizer.encode(A_     ,							add_special_tokens=A_   )
																__lowerCamelCase          =      tokenizer.encode(A_     ,							add_special_tokens=A_   )
																self.assertEqual(A_     ,							input_encoded + special_token_id   )

																__lowerCamelCase          =      tokenizer.decode(A_     ,							skip_special_tokens=A_   )
																self.assertTrue(special_token not in decoded   )




							def   __a   (     self:    str   ):
										__lowerCamelCase          =      self.get_tokenizers(do_lower_case=A_   )
										for tokenizer in tokenizers:
													with self.subTest(f'{tokenizer.__class__.__name__}'   ):
																__lowerCamelCase          =      chr(0XE005   )
																__lowerCamelCase          =      chr(0XE006   )

																# `add_tokens` method stores special tokens only in `tokenizer.unique_no_split_tokens`. (in tokenization_utils.py)
																tokenizer.add_tokens([SPECIAL_TOKEN_1]     ,							special_tokens=A_   )
																# `add_special_tokens` method stores special tokens in `tokenizer.additional_special_tokens`,
																# which also occur in `tokenizer.all_special_tokens`. (in tokenization_utils_base.py)
																tokenizer.add_special_tokens({"""additional_special_tokens""": [SPECIAL_TOKEN_2]}   )

																__lowerCamelCase          =      tokenizer.tokenize(A_   )
																__lowerCamelCase          =      tokenizer.tokenize(A_   )

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




							@require_tokenizers
							def   __a   (     self:    Union[str, Any]   ):
										__lowerCamelCase          =      self.get_tokenizers(do_lower_case=A_   )
										for tokenizer in tokenizers:
													with self.subTest(f'{tokenizer.__class__.__name__}'   ):
																# a special token for Canine can be defined as follows:
																__lowerCamelCase          =      0XE006
																__lowerCamelCase          =      chr(A_   )

																__lowerCamelCase          =      AddedToken(A_     ,							lstrip=A_   )
																tokenizer.add_special_tokens({"""additional_special_tokens""": [new_token]}   )

																with tempfile.TemporaryDirectory() as tmp_dir_name:
																			tokenizer.save_pretrained(A_   )
																			tokenizer.from_pretrained(A_   )




							def   __a   (     self:    Optional[Any]   ):
										__lowerCamelCase          =      []
										if self.test_slow_tokenizer:
													tokenizer_list.append((self.tokenizer_class, self.get_tokenizer())   )

										if self.test_rust_tokenizer:
													tokenizer_list.append((self.rust_tokenizer_class, self.get_rust_tokenizer())   )

										for tokenizer_class, tokenizer_utils in tokenizer_list:
													with tempfile.TemporaryDirectory() as tmp_dir:
																tokenizer_utils.save_pretrained(A_   )

																with open(os.path.join(A_     ,							"""special_tokens_map.json"""   )     ,							encoding="""utf-8"""   ) as json_file:
																			__lowerCamelCase          =      json.load(A_   )

																with open(os.path.join(A_     ,							"""tokenizer_config.json"""   )     ,							encoding="""utf-8"""   ) as json_file:
																			__lowerCamelCase          =      json.load(A_   )

																# a special token for Canine can be defined as follows:
																__lowerCamelCase          =      0XE006
																__lowerCamelCase          =      chr(A_   )

																__lowerCamelCase          =      [new_token_a]
																__lowerCamelCase          =      [new_token_a]

																with open(os.path.join(A_     ,							"""special_tokens_map.json"""   )     ,							"""w"""     ,							encoding="""utf-8"""   ) as outfile:
																			json.dump(A_     ,							A_   )
																with open(os.path.join(A_     ,							"""tokenizer_config.json"""   )     ,							"""w"""     ,							encoding="""utf-8"""   ) as outfile:
																			json.dump(A_     ,							A_   )

																# the following checks allow us to verify that our test works as expected, i.e. that the tokenizer takes
																# into account the new value of additional_special_tokens given in the "tokenizer_config.json" and
																# "special_tokens_map.json" files
																__lowerCamelCase          =      tokenizer_class.from_pretrained(A_     ,							extra_ids=0   )
																self.assertIn(A_     ,							tokenizer_without_change_in_init.additional_special_tokens   )
																# self.assertIn("an_additional_special_token",tokenizer_without_change_in_init.get_vocab()) # ByT5Tokenization no vocab
																self.assertEqual(
																    [new_token_a]     ,							tokenizer_without_change_in_init.convert_ids_to_tokens(
																        tokenizer_without_change_in_init.convert_tokens_to_ids([new_token_a]   )   )     ,							)

																__lowerCamelCase          =      0XE007
																__lowerCamelCase          =      chr(A_   )
																# Now we test that we can change the value of additional_special_tokens in the from_pretrained
																__lowerCamelCase          =      [AddedToken(A_     ,							lstrip=A_   )]
																__lowerCamelCase          =      tokenizer_class.from_pretrained(
																    A_     ,							additional_special_tokens=A_     ,							extra_ids=0   )

																self.assertIn(A_     ,							tokenizer.additional_special_tokens   )
																# self.assertIn(new_token_2,tokenizer.get_vocab()) # ByT5Tokenization no vocab
																self.assertEqual(
																    [new_token_a]     ,							tokenizer.convert_ids_to_tokens(tokenizer.convert_tokens_to_ids([new_token_a]   )   )   )




							@require_tokenizers
							def   __a   (     self:    str   ):
										__lowerCamelCase          =      self.get_tokenizers(do_lower_case=A_   )
										for tokenizer in tokenizers:
													with self.subTest(f'{tokenizer.__class__.__name__}'   ):
																__lowerCamelCase          =      """hello world"""
																if self.space_between_special_tokens:
																			__lowerCamelCase          =      """[CLS] hello world [SEP]"""
																else:
																			__lowerCamelCase          =      input
																__lowerCamelCase          =      tokenizer.encode(A_     ,							add_special_tokens=A_   )
																__lowerCamelCase          =      tokenizer.decode(A_     ,							spaces_between_special_tokens=self.space_between_special_tokens   )
																self.assertIn(A_     ,							[output, output.lower()]   )




							def   __a   (     self:    Dict   ):
										__lowerCamelCase          =      self.get_tokenizers()
										for tokenizer in tokenizers:
													with self.subTest(f'{tokenizer.__class__.__name__}'   ):
																__lowerCamelCase          =      [
																    """bos_token""",
																    """eos_token""",
																    """unk_token""",
																    """sep_token""",
																    """pad_token""",
																    """cls_token""",
																    """mask_token""",
																]

										__lowerCamelCase          =      """a"""
										__lowerCamelCase          =      ord(A_   )

										for attr in attributes_list:
													setattr(A_     ,							attr + """_id"""     ,							A_   )
													self.assertEqual(getattr(A_     ,							A_   )     ,							A_   )
													self.assertEqual(getattr(A_     ,							attr + """_id"""   )     ,							A_   )

													setattr(A_     ,							attr + """_id"""     ,							A_   )
													self.assertEqual(getattr(A_     ,							A_   )     ,							A_   )
													self.assertEqual(getattr(A_     ,							attr + """_id"""   )     ,							A_   )

										setattr(A_     ,							"""additional_special_tokens_ids"""     ,							[]   )
										self.assertListEqual(getattr(A_     ,							"""additional_special_tokens"""   )     ,							[]   )
										self.assertListEqual(getattr(A_     ,							"""additional_special_tokens_ids"""   )     ,							[]   )

										__lowerCamelCase          =      0XE006
										__lowerCamelCase          =      chr(A_   )
										setattr(A_     ,							"""additional_special_tokens_ids"""     ,							[additional_special_token_id]   )
										self.assertListEqual(getattr(A_     ,							"""additional_special_tokens"""   )     ,							[additional_special_token]   )
										self.assertListEqual(getattr(A_     ,							"""additional_special_tokens_ids"""   )     ,							[additional_special_token_id]   )




							def   __a   (     self:    List[str]   ):
										pass




							def   __a   (     self:    str   ):
										pass




							def   __a   (     self:    Dict   ):
										pass




							def   __a   (     self:    Optional[Any]   ):
										pass




							def   __a   (     self:    List[str]   ):
										pass




							def   __a   (     self:    int   ):
										pass




							def   __a   (     self:    int   ):
										pass




							def   __a   (     self:    Union[str, Any]   ):
										pass








"""simple docstring"""




import json
import os
from pathlib import Path

import pytest

from datasets.download.download_config import DownloadConfig
from datasets.download.download_manager import DownloadManager
from datasets.utils.file_utils import hash_url_to_filename


__magic_name__						: Optional[Any]    =				'http://www.mocksite.com/file1.txt'
__magic_name__						: Tuple    =				'"text": ["foo", "foo"]'
__magic_name__						: str    =				'6d8ce9aa78a471c7477201efbeabd3bb01ac2e7d100a6dc024ba1608361f90a8'




class 			__snake_case   :
							__a					 =       200
							__a					 =       {'''Content-Length''': '''100'''}
							__a					 =       {}




							def   __a   (     self:    List[str]     ,							**A_:    List[Any]   ):
										return [bytes(A_     ,							"""utf-8"""   )]





def       a_ (	*lowercase__ :List[Any],			**lowercase__ :Any     ):
			return MockResponse()





@pytest.mark.parametrize("""urls_type""",			[str, list, dict]     )
def       a_ (	lowercase__ :Optional[int],			lowercase__ :Any,			lowercase__ :Optional[int]     ):
			import requests

			monkeypatch.setattr(lowercase__,			"""request""",			lowercase__     )

			__lowerCamelCase          =      URL
			if issubclass(lowercase__,			lowercase__     ):
						__lowerCamelCase          =      url
			elif issubclass(lowercase__,			lowercase__     ):
						__lowerCamelCase          =      [url]
			elif issubclass(lowercase__,			lowercase__     ):
						__lowerCamelCase          =      {"""train""": url}
			__lowerCamelCase          =      """dummy"""
			__lowerCamelCase          =      """downloads"""
			__lowerCamelCase          =      tmp_path
			__lowerCamelCase          =      DownloadConfig(
			    cache_dir=os.path.join(lowercase__,			lowercase__     ),			use_etag=lowercase__,			)
			__lowerCamelCase          =      DownloadManager(dataset_name=lowercase__,			download_config=lowercase__     )
			__lowerCamelCase          =      dl_manager.download(lowercase__     )
			__lowerCamelCase          =      urls
			for downloaded_paths in [downloaded_paths]:
						if isinstance(lowercase__,			lowercase__     ):
									__lowerCamelCase          =      [downloaded_paths]
									__lowerCamelCase          =      [urls]
						elif isinstance(lowercase__,			lowercase__     ):
									assert "train" in downloaded_paths.keys()
									__lowerCamelCase          =      downloaded_paths.values()
									__lowerCamelCase          =      urls.values()
						assert downloaded_paths
						for downloaded_path, input_url in zip(lowercase__,			lowercase__     ):
									assert downloaded_path == dl_manager.downloaded_paths[input_url]
									__lowerCamelCase          =      Path(lowercase__     )
									__lowerCamelCase          =      downloaded_path.parts
									assert parts[-1] == HASH
									assert parts[-2] == cache_subdir
									assert downloaded_path.exists()
									__lowerCamelCase          =      downloaded_path.read_text()
									assert content == CONTENT
									__lowerCamelCase          =      downloaded_path.with_suffix(""".json"""     )
									assert metadata_downloaded_path.exists()
									__lowerCamelCase          =      json.loads(metadata_downloaded_path.read_text()     )
									assert metadata_content == {"url": URL, "etag": None}





@pytest.mark.parametrize("""paths_type""",			[str, list, dict]     )
def       a_ (	lowercase__ :Dict,			lowercase__ :Optional[Any],			lowercase__ :Dict     ):
			__lowerCamelCase          =      str(lowercase__     )
			if issubclass(lowercase__,			lowercase__     ):
						__lowerCamelCase          =      filename
			elif issubclass(lowercase__,			lowercase__     ):
						__lowerCamelCase          =      [filename]
			elif issubclass(lowercase__,			lowercase__     ):
						__lowerCamelCase          =      {"""train""": filename}
			__lowerCamelCase          =      """dummy"""
			__lowerCamelCase          =      xz_file.parent
			__lowerCamelCase          =      """extracted"""
			__lowerCamelCase          =      DownloadConfig(
			    cache_dir=lowercase__,			use_etag=lowercase__,			)
			__lowerCamelCase          =      DownloadManager(dataset_name=lowercase__,			download_config=lowercase__     )
			__lowerCamelCase          =      dl_manager.extract(lowercase__     )
			__lowerCamelCase          =      paths
			for extracted_paths in [extracted_paths]:
						if isinstance(lowercase__,			lowercase__     ):
									__lowerCamelCase          =      [extracted_paths]
									__lowerCamelCase          =      [paths]
						elif isinstance(lowercase__,			lowercase__     ):
									assert "train" in extracted_paths.keys()
									__lowerCamelCase          =      extracted_paths.values()
									__lowerCamelCase          =      paths.values()
						assert extracted_paths
						for extracted_path, input_path in zip(lowercase__,			lowercase__     ):
									assert extracted_path == dl_manager.extracted_paths[input_path]
									__lowerCamelCase          =      Path(lowercase__     )
									__lowerCamelCase          =      extracted_path.parts
									assert parts[-1] == hash_url_to_filename(lowercase__,			etag=lowercase__     )
									assert parts[-2] == extracted_subdir
									assert extracted_path.exists()
									__lowerCamelCase          =      extracted_path.read_text()
									__lowerCamelCase          =      text_file.read_text()
									assert extracted_file_content == expected_file_content





def       a_ (	lowercase__ :List[str],			lowercase__ :int     ):
			assert path.endswith(""".jsonl"""     )
			for num_items, line in enumerate(lowercase__,			start=1     ):
						__lowerCamelCase          =      json.loads(line.decode("""utf-8"""     )     )
						assert item.keys() == {"col_1", "col_2", "col_3"}
			assert num_items == 4





@pytest.mark.parametrize("""archive_jsonl""",			["""tar_jsonl_path""", """zip_jsonl_path"""]     )
def       a_ (	lowercase__ :Optional[int],			lowercase__ :Union[str, Any]     ):
			__lowerCamelCase          =      request.getfixturevalue(lowercase__     )
			__lowerCamelCase          =      DownloadManager()
			for num_jsonl, (path, file) in enumerate(dl_manager.iter_archive(lowercase__     ),			start=1     ):
						_test_jsonl(lowercase__,			lowercase__     )
			assert num_jsonl == 2





@pytest.mark.parametrize("""archive_nested_jsonl""",			["""tar_nested_jsonl_path""", """zip_nested_jsonl_path"""]     )
def       a_ (	lowercase__ :Optional[int],			lowercase__ :List[Any]     ):
			__lowerCamelCase          =      request.getfixturevalue(lowercase__     )
			__lowerCamelCase          =      DownloadManager()
			for num_tar, (path, file) in enumerate(dl_manager.iter_archive(lowercase__     ),			start=1     ):
						for num_jsonl, (subpath, subfile) in enumerate(dl_manager.iter_archive(lowercase__     ),			start=1     ):
									_test_jsonl(lowercase__,			lowercase__     )
			assert num_tar == 1
			assert num_jsonl == 2





def       a_ (	lowercase__ :Tuple     ):
			__lowerCamelCase          =      DownloadManager()
			for num_file, file in enumerate(dl_manager.iter_files(lowercase__     ),			start=1     ):
						assert os.path.basename(lowercase__     ) == ("test.txt" if num_file == 1 else "train.txt")
			assert num_file == 2




