






import unittest

from transformers import SPIECE_UNDERLINE, ReformerTokenizer, ReformerTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


a_							=    get_tests_dir('''fixtures/test_sentencepiece.model''')


@require_sentencepiece
@require_tokenizers
class      lowercase__     (			__lowercase				,					unittest.TestCase	):
	a_         =ReformerTokenizer
	a_         =ReformerTokenizerFast
	a_         =True
	a_         =False
	a_         =True

	def 		UpperCAmelCase  (							self       )->					int:







							'''simple docstring'''





							super().setUp()

							lowerCAmelCase__       =						ReformerTokenizer(__UpperCAmelCase		,    keep_accents=__UpperCAmelCase       )
							tokenizer.save_pretrained(self.tmpdirname       )

	def 		UpperCAmelCase  (							self       )->					Optional[Any]:







							'''simple docstring'''





							lowerCAmelCase__       =						"<s>"
							lowerCAmelCase__       =						1

							self.assertEqual(self.get_tokenizer()._convert_token_to_id(__UpperCAmelCase       )		,    __UpperCAmelCase       )
							self.assertEqual(self.get_tokenizer()._convert_id_to_token(__UpperCAmelCase       )		,    __UpperCAmelCase       )

	def 		UpperCAmelCase  (							self       )->					int:







							'''simple docstring'''





							lowerCAmelCase__       =						list(self.get_tokenizer().get_vocab().keys()       )

							self.assertEqual(vocab_keys[0]		,    "<unk>"       )
							self.assertEqual(vocab_keys[1]		,    "<s>"       )
							self.assertEqual(vocab_keys[-1]		,    "j"       )
							self.assertEqual(len(__UpperCAmelCase       )		,    1000       )

	def 		UpperCAmelCase  (							self       )->					List[Any]:







							'''simple docstring'''





							self.assertEqual(self.get_tokenizer().vocab_size		,    1000       )

	def 		UpperCAmelCase  (							self       )->					List[str]:







							'''simple docstring'''





							if not self.test_rust_tokenizer:
													return

							lowerCAmelCase__       =						self.get_tokenizer()
							lowerCAmelCase__       =						self.get_rust_tokenizer()

							lowerCAmelCase__       =						"I was born in 92000, and this is falsé."

							lowerCAmelCase__       =						tokenizer.tokenize(__UpperCAmelCase       )
							lowerCAmelCase__       =						rust_tokenizer.tokenize(__UpperCAmelCase       )
							self.assertListEqual(__UpperCAmelCase		,    __UpperCAmelCase       )

							lowerCAmelCase__       =						tokenizer.encode(__UpperCAmelCase		,    add_special_tokens=__UpperCAmelCase       )
							lowerCAmelCase__       =						rust_tokenizer.encode(__UpperCAmelCase		,    add_special_tokens=__UpperCAmelCase       )
							self.assertListEqual(__UpperCAmelCase		,    __UpperCAmelCase       )

							lowerCAmelCase__       =						self.get_rust_tokenizer()
							lowerCAmelCase__       =						tokenizer.encode(__UpperCAmelCase       )
							lowerCAmelCase__       =						rust_tokenizer.encode(__UpperCAmelCase       )
							self.assertListEqual(__UpperCAmelCase		,    __UpperCAmelCase       )

	def 		UpperCAmelCase  (							self		,    __UpperCAmelCase=15       )->					Tuple:







							'''simple docstring'''





							for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
													with self.subTest(F"{tokenizer.__class__.__name__} ({pretrained_name})"       ):
																			lowerCAmelCase__       =						self.rust_tokenizer_class.from_pretrained(__UpperCAmelCase		,    **__UpperCAmelCase       )

																			# Simple input
																			lowerCAmelCase__       =						"This is a simple input"
																			lowerCAmelCase__       =						["This is a simple input 1", "This is a simple input 2"]
																			lowerCAmelCase__       =						("This is a simple input", "This is a pair")
																			lowerCAmelCase__       =						[
																			    ("This is a simple input 1", "This is a simple input 2"),
																			    ("This is a simple pair 1", "This is a simple pair 2"),
																			]

																			# Simple input tests
																			self.assertRaises(__UpperCAmelCase		,    tokenizer_r.encode		,    __UpperCAmelCase		,    max_length=__UpperCAmelCase		,    padding="max_length"       )

																			# Simple input
																			self.assertRaises(__UpperCAmelCase		,    tokenizer_r.encode_plus		,    __UpperCAmelCase		,    max_length=__UpperCAmelCase		,    padding="max_length"       )

																			# Simple input
																			self.assertRaises(
																			    __UpperCAmelCase		,    tokenizer_r.batch_encode_plus		,    __UpperCAmelCase		,    max_length=__UpperCAmelCase		,    padding="max_length"		,    )

																			# Pair input
																			self.assertRaises(__UpperCAmelCase		,    tokenizer_r.encode		,    __UpperCAmelCase		,    max_length=__UpperCAmelCase		,    padding="max_length"       )

																			# Pair input
																			self.assertRaises(__UpperCAmelCase		,    tokenizer_r.encode_plus		,    __UpperCAmelCase		,    max_length=__UpperCAmelCase		,    padding="max_length"       )

																			# Pair input
																			self.assertRaises(
																			    __UpperCAmelCase		,    tokenizer_r.batch_encode_plus		,    __UpperCAmelCase		,    max_length=__UpperCAmelCase		,    padding="max_length"		,    )

	def 		UpperCAmelCase  (							self       )->					int:







							'''simple docstring'''





							pass

	def 		UpperCAmelCase  (							self       )->					Any:







							'''simple docstring'''





							lowerCAmelCase__       =						ReformerTokenizer(__UpperCAmelCase		,    keep_accents=__UpperCAmelCase       )

							lowerCAmelCase__       =						tokenizer.tokenize("This is a test"       )
							self.assertListEqual(__UpperCAmelCase		,    ["▁This", "▁is", "▁a", "▁t", "est"]       )

							self.assertListEqual(
							    tokenizer.convert_tokens_to_ids(__UpperCAmelCase       )		,    [285, 46, 10, 170, 382]		,    )

							lowerCAmelCase__       =						tokenizer.tokenize("I was born in 92000, and this is falsé."       )
							self.assertListEqual(
							    __UpperCAmelCase		,    [
							        SPIECE_UNDERLINE + "I",
							        SPIECE_UNDERLINE + "was",
							        SPIECE_UNDERLINE + "b",
							        "or",
							        "n",
							        SPIECE_UNDERLINE + "in",
							        SPIECE_UNDERLINE + "",
							        "9",
							        "2",
							        "0",
							        "0",
							        "0",
							        ",",
							        SPIECE_UNDERLINE + "and",
							        SPIECE_UNDERLINE + "this",
							        SPIECE_UNDERLINE + "is",
							        SPIECE_UNDERLINE + "f",
							        "al",
							        "s",
							        "é",
							        ".",
							    ]		,    )
							lowerCAmelCase__       =						tokenizer.convert_tokens_to_ids(__UpperCAmelCase       )
							self.assertListEqual(
							    __UpperCAmelCase		,    [8, 21, 84, 55, 24, 19, 7, 0, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 0, 4]		,    )

							lowerCAmelCase__       =						tokenizer.convert_ids_to_tokens(__UpperCAmelCase       )
							self.assertListEqual(
							    __UpperCAmelCase		,    [
							        SPIECE_UNDERLINE + "I",
							        SPIECE_UNDERLINE + "was",
							        SPIECE_UNDERLINE + "b",
							        "or",
							        "n",
							        SPIECE_UNDERLINE + "in",
							        SPIECE_UNDERLINE + "",
							        "<unk>",
							        "2",
							        "0",
							        "0",
							        "0",
							        ",",
							        SPIECE_UNDERLINE + "and",
							        SPIECE_UNDERLINE + "this",
							        SPIECE_UNDERLINE + "is",
							        SPIECE_UNDERLINE + "f",
							        "al",
							        "s",
							        "<unk>",
							        ".",
							    ]		,    )

	@cached_property
	def 		UpperCAmelCase  (							self       )->					List[str]:







							'''simple docstring'''





							return ReformerTokenizer.from_pretrained("google/reformer-crime-and-punishment"       )

	@slow
	def 		UpperCAmelCase  (							self       )->					List[Any]:







							'''simple docstring'''





							lowerCAmelCase__       =						"Hello World!"
							lowerCAmelCase__       =						[126, 32, 262, 152, 38, 72, 287]

							self.assertListEqual(__UpperCAmelCase		,    self.big_tokenizer.encode(__UpperCAmelCase       )       )

	@slow
	def 		UpperCAmelCase  (							self       )->					Optional[Any]:







							'''simple docstring'''





							lowerCAmelCase__       =						(
							    "This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) \" [ ] ! : - . Also we will"
							    " add words that should not exsist and be tokenized to <unk>, such as saoneuhaoesuth"
							)
							lowerCAmelCase__       =						[
							    108,
							    265,
							    24,
							    111,
							    4,
							    258,
							    156,
							    35,
							    28,
							    275,
							    3,
							    259,
							    297,
							    260,
							    84,
							    4,
							    35,
							    110,
							    44,
							    8,
							    259,
							    91,
							    268,
							    21,
							    11,
							    209,
							    274,
							    109,
							    266,
							    277,
							    117,
							    86,
							    93,
							    315,
							    258,
							    278,
							    258,
							    277,
							    258,
							    0,
							    258,
							    288,
							    258,
							    319,
							    258,
							    0,
							    258,
							    0,
							    258,
							    0,
							    258,
							    0,
							    258,
							    287,
							    258,
							    315,
							    258,
							    289,
							    258,
							    278,
							    99,
							    269,
							    266,
							    262,
							    8,
							    259,
							    241,
							    4,
							    217,
							    230,
							    268,
							    266,
							    55,
							    168,
							    106,
							    75,
							    193,
							    266,
							    223,
							    27,
							    49,
							    26,
							    282,
							    25,
							    264,
							    299,
							    19,
							    26,
							    0,
							    258,
							    277,
							    117,
							    86,
							    93,
							    176,
							    183,
							    270,
							    11,
							    262,
							    42,
							    61,
							    265,
							]

							self.assertListEqual(__UpperCAmelCase		,    self.big_tokenizer.encode(__UpperCAmelCase       )       )

	@require_torch
	@slow
	def 		UpperCAmelCase  (							self       )->					int:







							'''simple docstring'''





							import torch

							from transformers import ReformerConfig, ReformerModel

							# Build sequence
							lowerCAmelCase__       =						list(self.big_tokenizer.get_vocab().keys()       )[:10]
							lowerCAmelCase__       =						" ".join(__UpperCAmelCase       )
							lowerCAmelCase__       =						self.big_tokenizer.encode_plus(__UpperCAmelCase		,    return_tensors="pt"       )
							lowerCAmelCase__       =						self.big_tokenizer.batch_encode_plus([sequence, sequence]		,    return_tensors="pt"       )

							lowerCAmelCase__       =						ReformerConfig()
							# The input gets padded during training so adjust the axial position encodings from the pretrained model value of (512, 1024)
							lowerCAmelCase__       =						encoded_sequence["input_ids"].shape
							lowerCAmelCase__       =						ReformerModel(__UpperCAmelCase       )

							# Reformer has config.vocab_size == tokenizer.vocab_size == len(tokenizer) - 1 = 320; len(tokenizer) is 321 (including a pad token with id 320)
							assert model.get_input_embeddings().weight.shape[0] >= self.big_tokenizer.vocab_size

							with torch.no_grad():
													model(**__UpperCAmelCase       )
													model(**__UpperCAmelCase       )


	@slow
	def 		UpperCAmelCase  (							self       )->					str:







							'''simple docstring'''





							lowerCAmelCase__       =						{"input_ids": [[108, 265, 24, 111, 4, 258, 156, 7, 51, 279, 58, 7, 76, 25, 69, 278], [140, 243, 264, 134, 17, 267, 77, 263, 22, 262, 297, 258, 304, 177, 279, 266, 14, 89, 13, 35, 261, 299, 272, 137, 275, 278]], "attention_mask": [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]}  # noqa: E501
							# fmt: on

							# This tokenizer does not know some characters like ")".
							# That is the reason why we use very simple texts here.
							# Also see https://github.com/huggingface/transformers/pull/11737#issuecomment-850769064
							lowerCAmelCase__       =						[
							    "This is a very simple sentence.",
							    "The quick brown fox jumps over the lazy dog.",
							]

							self.tokenizer_integration_test_util(
							    expected_encoding=__UpperCAmelCase		,    model_name="google/reformer-crime-and-punishment"		,    revision="0e6c3decb8211d49bf881013425dc8b0448b3f5a"		,    padding=__UpperCAmelCase		,    sequences=__UpperCAmelCase		,    )














# this script reports modified .py files under the desired list of top-level sub-dirs passed as a list of arguments, e.g.:
#   python ./utils/get_modified_files.py utils src tests examples
#
# it uses git to find the forking point and which files were modified - i.e. files not under git won't be considered
# since the output of this script is fed into Makefile commands it doesn't print a newline after the results

import re
import subprocess
import sys


a_							=    subprocess.check_output('''git merge-base main HEAD'''.split()).decode('''utf-8''')
a_							=    subprocess.check_output(F"git diff --name-only {fork_point_sha}".split()).decode('''utf-8''').split()

a_							=    '''|'''.join(sys.argv[1:])
a_							=    re.compile(rF"^({joined_dirs}).*?\.py$")

a_							=    [x for x in modified_files if regex.match(x)]
print(''' '''.join(relevant_modified_files), end='''''')






