import json
import os
import re
import shutil
import tempfile
import unittest
from typing import Tuple

from transformers import AddedToken, BatchEncoding, ByTaTokenizer
from transformers.utils import cached_property, is_tf_available, is_torch_available

from ...test_tokenization_common import TokenizerTesterMixin


if is_torch_available():
				__SCREAMING_SNAKE_CASE						:   Dict         =			'pt'
elif is_tf_available():
				__SCREAMING_SNAKE_CASE						:   Tuple         =			'tf'
else:
				__SCREAMING_SNAKE_CASE						:   Any         =			'jax'



class        lowercase_   (					__snake_case						,			unittest.TestCase		):
							_lowerCamelCase						=		ByTaTokenizer
							_lowerCamelCase						=		False



							def 	UpperCamelCase	(						self    ):
													super().setUp()
													_snake_case						:					int    =   ByTaTokenizer()
													tokenizer.save_pretrained(self.tmpdirname    )



							@cached_property
							def 	UpperCamelCase	(						self    ):
													return ByTaTokenizer.from_pretrained("google/byt5-small"    )



							def 	UpperCamelCase	(						self				,    **lowercase_    ):
													return self.tokenizer_class.from_pretrained(self.tmpdirname				,    **lowercase_    )



							def 	UpperCamelCase	(						self				,    lowercase_				,    lowercase_=False				,    lowercase_=20				,    lowercase_=5    ):
													# XXX The default common tokenizer tests assume that every ID is decodable on its own.
													# This assumption is invalid for ByT5 because single bytes might not be
													# valid utf-8 (byte 128 for instance).
													# Here we're overriding the smallest possible method to provide
													# a clean sequence without making the same assumption.

													_snake_case						:					int    =   []
													for i in range(len(lowercase_    )    ):
																			try:
																									_snake_case						:					List[Any]    =   tokenizer.decode([i]				,    clean_up_tokenization_spaces=lowercase_    )
																			except UnicodeDecodeError:
																									pass
																			toks.append((i, tok)    )

													_snake_case						:					List[str]    =   list(filter(lambda lowercase_    : re.match(R"^[ a-zA-Z]+$"				,    t[1]    )				,    lowercase_    )    )
													_snake_case						:					Optional[Any]    =   list(filter(lambda lowercase_    : [t[0]] == tokenizer.encode(t[1]				,    add_special_tokens=lowercase_    )				,    lowercase_    )    )
													if max_length is not None and len(lowercase_    ) > max_length:
																			_snake_case						:					Tuple    =   toks[:max_length]
													if min_length is not None and len(lowercase_    ) < min_length and len(lowercase_    ) > 0:
																			while len(lowercase_    ) < min_length:
																									_snake_case						:					str    =   toks + toks
        # toks_str = [t[1] for t in toks]
													_snake_case						:					Optional[int]    =   [t[0] for t in toks]

													# Ensure consistency
													_snake_case						:					List[str]    =   tokenizer.decode(lowercase_				,    clean_up_tokenization_spaces=lowercase_    )
													if " " not in output_txt and len(lowercase_    ) > 1:
																			_snake_case						:					Dict    =   (
																			    tokenizer.decode([toks_ids[0]]				,    clean_up_tokenization_spaces=lowercase_    )
																			    + " "
																			    + tokenizer.decode(toks_ids[1:]				,    clean_up_tokenization_spaces=lowercase_    )
																			)
													if with_prefix_space:
																			_snake_case						:					Optional[Any]    =   " " + output_txt
													_snake_case						:					List[Any]    =   tokenizer.encode(lowercase_				,    add_special_tokens=lowercase_    )
													return output_txt, output_ids



							def 	UpperCamelCase	(						self    ):
													_snake_case						:					int    =   self.ta_base_tokenizer
													_snake_case						:					str    =   tokenizer(["hi</s>", "I went to the gym</s>", "</s>"]    )
													_snake_case						:					Tuple    =   tokenizer(["hi", "I went to the gym", ""]    )
													self.assertListEqual(batch_with_eos_added["input_ids"]				,    batch_without_eos_added["input_ids"]    )



							def 	UpperCamelCase	(						self    ):
													_snake_case						:					Dict    =   self.ta_base_tokenizer
													_snake_case						:					List[str]    =   "Unicode €."
													_snake_case						:					Tuple    =   tokenizer(lowercase_    )
													_snake_case						:					Tuple    =   [88, 113, 108, 102, 114, 103, 104, 35, 229, 133, 175, 49, 1]
													self.assertEqual(encoded["input_ids"]				,    lowercase_    )

													# decoding
													_snake_case						:					str    =   tokenizer.decode(lowercase_    )
													self.assertEqual(lowercase_				,    "Unicode €.</s>"    )

													_snake_case						:					List[Any]    =   tokenizer("e è é ê ë"    )
													_snake_case						:					Optional[int]    =   [104, 35, 198, 171, 35, 198, 172, 35, 198, 173, 35, 198, 174, 1]
													self.assertEqual(encoded["input_ids"]				,    lowercase_    )
													# decoding
													_snake_case						:					Union[str, Any]    =   tokenizer.decode(lowercase_    )
													self.assertEqual(lowercase_				,    "e è é ê ë</s>"    )

													# encode/decode, but with `encode` instead of `__call__`
													self.assertEqual(tokenizer.decode(tokenizer.encode("e è é ê ë"    )    )				,    "e è é ê ë</s>"    )



							def 	UpperCamelCase	(						self    ):
													_snake_case						:					List[str]    =   self.ta_base_tokenizer
													_snake_case						:					List[str]    =   ["A long paragraph for summarization.", "Another paragraph for summarization."]
													# fmt: off
													_snake_case						:					Union[str, Any]    =   [68, 35, 111, 114, 113, 106, 35, 115, 100, 117, 100, 106, 117, 100, 115, 107, 35, 105, 114, 117, 35, 118, 120, 112, 112, 100, 117, 108, 125, 100, 119, 108, 114, 113, 49, 1, 0]
													# fmt: on
													_snake_case						:					Optional[Any]    =   tokenizer(lowercase_				,    padding=lowercase_				,    return_tensors=lowercase_    )
													self.assertIsInstance(lowercase_				,    lowercase_    )

													if FRAMEWORK != "jax":
																			_snake_case						:					List[str]    =   list(batch.input_ids.numpy()[0]    )
													else:
																			_snake_case						:					Optional[int]    =   list(batch.input_ids.tolist()[0]    )

													self.assertListEqual(lowercase_				,    lowercase_    )

													self.assertEqual((2, 37)				,    batch.input_ids.shape    )
													self.assertEqual((2, 37)				,    batch.attention_mask.shape    )



							def 	UpperCamelCase	(						self    ):
													_snake_case						:					Any    =   self.ta_base_tokenizer
													_snake_case						:					List[Any]    =   ["A long paragraph for summarization.", "Another paragraph for summarization."]
													_snake_case						:					Optional[int]    =   tokenizer(lowercase_				,    padding=lowercase_				,    return_tensors=lowercase_    )
													# check if input_ids are returned and no decoder_input_ids
													self.assertIn("input_ids"				,    lowercase_    )
													self.assertIn("attention_mask"				,    lowercase_    )
													self.assertNotIn("decoder_input_ids"				,    lowercase_    )
													self.assertNotIn("decoder_attention_mask"				,    lowercase_    )



							def 	UpperCamelCase	(						self    ):
													_snake_case						:					int    =   self.ta_base_tokenizer
													_snake_case						:					Any    =   [
													    "Summary of the text.",
													    "Another summary.",
													]
													_snake_case						:					Any    =   tokenizer(
													    text_target=lowercase_				,    max_length=32				,    padding="max_length"				,    truncation=lowercase_				,    return_tensors=lowercase_    )
													self.assertEqual(32				,    targets["input_ids"].shape[1]    )



							def 	UpperCamelCase	(						self    ):
													_snake_case						:					str    =   self.ta_base_tokenizer
													_snake_case						:					Tuple    =   ["A long paragraph for summarization. </s>"]
													_snake_case						:					Optional[int]    =   ["Summary of the text. </s>"]
													# fmt: off
													_snake_case						:					List[str]    =   [68, 35, 111, 114, 113, 106, 35, 115, 100, 117, 100, 106, 117, 100, 115, 107, 35, 105, 114, 117, 35, 118, 120, 112, 112, 100, 117, 108, 125, 100, 119, 108, 114, 113, 49, 35, 1]
													_snake_case						:					int    =   [86, 120, 112, 112, 100, 117, 124, 35, 114, 105, 35, 119, 107, 104, 35, 119, 104, 123, 119, 49, 35, 1]
													# fmt: on

													_snake_case						:					List[str]    =   tokenizer(lowercase_				,    text_target=lowercase_    )

													self.assertEqual(lowercase_				,    batch["input_ids"][0]    )
													self.assertEqual(lowercase_				,    batch["labels"][0]    )



							def 	UpperCamelCase	(						self    ):
													# safety check on max_len default value so we are sure the test works
													_snake_case						:					List[str]    =   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
													_snake_case						:					Union[str, Any]    =   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
																									_snake_case						:					Any    =   tempfile.mkdtemp()

																									_snake_case						:					Dict    =   " He is very happy, UNwant\u00E9d,running"
																									_snake_case						:					Tuple    =   tokenizer.encode(lowercase_				,    add_special_tokens=lowercase_    )
																									tokenizer.save_pretrained(lowercase_    )

																									_snake_case						:					Tuple    =   tokenizer.__class__.from_pretrained(lowercase_    )
																									_snake_case						:					List[str]    =   after_tokenizer.encode(lowercase_				,    add_special_tokens=lowercase_    )
																									self.assertListEqual(lowercase_				,    lowercase_    )

																									shutil.rmtree(lowercase_    )

													_snake_case						:					Optional[Any]    =   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
																									_snake_case						:					Union[str, Any]    =   tempfile.mkdtemp()

																									_snake_case						:					Any    =   " He is very happy, UNwant\u00E9d,running"
																									tokenizer.add_tokens(["bim", "bambam"]    )
																									_snake_case						:					str    =   tokenizer.additional_special_tokens
																									additional_special_tokens.append("new_additional_special_token"    )
																									tokenizer.add_special_tokens({"additional_special_tokens": additional_special_tokens}    )
																									_snake_case						:					Tuple    =   tokenizer.encode(lowercase_				,    add_special_tokens=lowercase_    )
																									tokenizer.save_pretrained(lowercase_    )

																									_snake_case						:					str    =   tokenizer.__class__.from_pretrained(lowercase_    )
																									_snake_case						:					Tuple    =   after_tokenizer.encode(lowercase_				,    add_special_tokens=lowercase_    )
																									self.assertListEqual(lowercase_				,    lowercase_    )
																									self.assertIn("new_additional_special_token"				,    after_tokenizer.additional_special_tokens    )
																									self.assertEqual(after_tokenizer.model_max_length				,    42    )

																									_snake_case						:					Dict    =   tokenizer.__class__.from_pretrained(lowercase_				,    model_max_length=43    )
																									self.assertEqual(tokenizer.model_max_length				,    43    )

																									shutil.rmtree(lowercase_    )



							def 	UpperCamelCase	(						self    ):
													_snake_case						:					Optional[int]    =   []
													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(lowercase_    )

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

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

																									_snake_case						:					Union[str, Any]    =   [f"""<extra_id_{i}>""" for i in range(125    )]

																									_snake_case						:					Union[str, Any]    =   added_tokens_extra_ids + [
																									    "an_additional_special_token"
																									]
																									_snake_case						:					Any    =   added_tokens_extra_ids + [
																									    "an_additional_special_token"
																									]

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

																									# 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
																									_snake_case						:					str    =   tokenizer_class.from_pretrained(
																									    lowercase_				,    )
																									self.assertIn(
																									    "an_additional_special_token"				,    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(
																									    ["an_additional_special_token"]				,    tokenizer_without_change_in_init.convert_ids_to_tokens(
																									        tokenizer_without_change_in_init.convert_tokens_to_ids(["an_additional_special_token"]    )    )				,    )

																									# Now we test that we can change the value of additional_special_tokens in the from_pretrained
																									_snake_case						:					str    =   added_tokens_extra_ids + [AddedToken("a_new_additional_special_token"				,    lstrip=lowercase_    )]
																									_snake_case						:					Dict    =   tokenizer_class.from_pretrained(
																									    lowercase_				,    additional_special_tokens=lowercase_				,    )

																									self.assertIn("a_new_additional_special_token"				,    tokenizer.additional_special_tokens    )
																									self.assertEqual(
																									    ["a_new_additional_special_token"]				,    tokenizer.convert_ids_to_tokens(
																									        tokenizer.convert_tokens_to_ids(["a_new_additional_special_token"]    )    )				,    )



							def 	UpperCamelCase	(						self    ):
													_snake_case						:					int    =   []
													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(lowercase_    )

																									_snake_case						:					Optional[Any]    =   tokenizer_class.from_pretrained(lowercase_    )

																									self.assertTrue(tokenizer.decode([255]    ) == ""    )



							def 	UpperCamelCase	(						self    ):
													pass



							def 	UpperCamelCase	(						self    ):
													pass



							def 	UpperCamelCase	(						self    ):
													pass



							def 	UpperCamelCase	(						self    ):
													pass



							def 	UpperCamelCase	(						self    ):
													# The default common tokenizer tests uses invalid tokens for ByT5 that can only accept one-character strings
													# and special added tokens as tokens
													_snake_case						:					Dict    =   self.get_tokenizers(fast=lowercase_				,    do_lower_case=lowercase_    )
													for tokenizer in tokenizers:
																			with self.subTest(f"""{tokenizer.__class__.__name__}"""    ):
																									_snake_case						:					List[str]    =   ["t", "h", "i", "s", " ", "i", "s", " ", "a", " ", "t", "e", "x", "t", "</s>"]
																									_snake_case						:					Optional[int]    =   tokenizer.convert_tokens_to_string(lowercase_    )

																									self.assertIsInstance(lowercase_				,    lowercase_    )



							def 	UpperCamelCase	(						self    ):
													_snake_case						:					Optional[int]    =   self.get_tokenizers()
													for tokenizer in tokenizers:
																			with self.subTest(f"""{tokenizer.__class__.__name__}"""    ):
																									_snake_case						:					List[str]    =   [
																									    "bos_token",
																									    "eos_token",
																									    "unk_token",
																									    "sep_token",
																									    "pad_token",
																									    "cls_token",
																									    "mask_token",
																									]

																									_snake_case						:					Dict    =   0
																									_snake_case						:					Dict    =   tokenizer.convert_ids_to_tokens(
																									    lowercase_				,    skip_special_tokens=lowercase_    )

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

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

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

																									setattr(lowercase_				,    "additional_special_tokens_ids"				,    [token_id_to_test_setters]    )
																									self.assertListEqual(getattr(lowercase_				,    "additional_special_tokens"    )				,    [token_to_test_setters]    )
																									self.assertListEqual(getattr(lowercase_				,    "additional_special_tokens_ids"    )				,    [token_id_to_test_setters]    )
import importlib
import shutil
import threading
import warnings
from typing import List

import fsspec
import fsspec.asyn

from . import compression
from .hffilesystem import HfFileSystem


__SCREAMING_SNAKE_CASE						:   Any         =			importlib.util.find_spec('s3fs') is not None

if _has_safs:
				from .safilesystem import SaFileSystem  # noqa: F401

__SCREAMING_SNAKE_CASE						:   List[compression.BaseCompressedFileFileSystem]         =			[
    compression.BzaFileSystem,
    compression.GzipFileSystem,
    compression.LzaFileSystem,
    compression.XzFileSystem,
    compression.ZstdFileSystem,
]

# Register custom filesystems
for fs_class in COMPRESSION_FILESYSTEMS + [HfFileSystem]:
				if fs_class.protocol in fsspec.registry and fsspec.registry[fs_class.protocol] is not fs_class:
								warnings.warn(F'''A filesystem protocol was already set for {fs_class.protocol} and will be overwritten.''')
				fsspec.register_implementation(fs_class.protocol, fs_class, clobber=True)
def  snake_case						(__lowercase						)	->	str:

						'''simple docstring'''



						if "://" in dataset_path:
												_snake_case						:					Tuple    =   dataset_path.split("://"						)[1]
						return dataset_path
def  snake_case						(__lowercase						)	->	bool:

						'''simple docstring'''



						if fs is not None and fs.protocol != "file":
												return True
						else:
												return False
def  snake_case						(__lowercase ,      __lowercase ,      __lowercase						)	->	str:

						'''simple docstring'''



						_snake_case						:					Optional[int]    =   not is_remote_filesystem(__lowercase						)
						if is_local:
												# LocalFileSystem.mv does copy + rm, it is more efficient to simply move a local directory
												shutil.move(fs._strip_protocol(__lowercase						) ,      fs._strip_protocol(__lowercase						)						)
						else:
												fs.mv(__lowercase ,      __lowercase ,      recursive=__lowercase						)

def  snake_case						()	->	None:

						'''simple docstring'''



						if hasattr(fsspec.asyn ,      "reset_lock"						):
												# for future fsspec>2022.05.0
												fsspec.asyn.reset_lock()
						else:
												_snake_case						:					List[str]    =   None
												_snake_case						:					str    =   None
												_snake_case						:					List[Any]    =   threading.Lock()