





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


UpperCamelCase__           =			get_tests_dir("fixtures/test_sentencepiece.model")

@require_sentencepiece
@require_tokenizers
class 							__SCREAMING_SNAKE_CASE       (  _a ,		unittest.TestCase							):
							snake_case  :   Optional[int]      =							ReformerTokenizer
							snake_case  :   Dict      =							ReformerTokenizerFast
							snake_case  :   str      =							True
							snake_case  :   Any      =							False
							snake_case  :   List[str]      =							True






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

														UpperCamelCase__					  =      ReformerTokenizer(__lowerCAmelCase	,			keep_accents=__lowerCAmelCase	)
														tokenizer.save_pretrained(self.tmpdirname	)






							def 					_lowerCamelCase		(    self	):
														UpperCamelCase__					  =      """<s>"""
														UpperCamelCase__					  =      1

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






							def 					_lowerCamelCase		(    self	):
														UpperCamelCase__					  =      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(__lowerCAmelCase	)	,			1000	)






							def 					_lowerCamelCase		(    self	):
														self.assertEqual(self.get_tokenizer().vocab_size	,			1000	)






							def 					_lowerCamelCase		(    self	):
														if not self.test_rust_tokenizer:
																					return

														UpperCamelCase__					  =      self.get_tokenizer()
														UpperCamelCase__					  =      self.get_rust_tokenizer()

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

														UpperCamelCase__					  =      tokenizer.tokenize(__lowerCAmelCase	)
														UpperCamelCase__					  =      rust_tokenizer.tokenize(__lowerCAmelCase	)
														self.assertListEqual(__lowerCAmelCase	,			__lowerCAmelCase	)

														UpperCamelCase__					  =      tokenizer.encode(__lowerCAmelCase	,			add_special_tokens=__lowerCAmelCase	)
														UpperCamelCase__					  =      rust_tokenizer.encode(__lowerCAmelCase	,			add_special_tokens=__lowerCAmelCase	)
														self.assertListEqual(__lowerCAmelCase	,			__lowerCAmelCase	)

														UpperCamelCase__					  =      self.get_rust_tokenizer()
														UpperCamelCase__					  =      tokenizer.encode(__lowerCAmelCase	)
														UpperCamelCase__					  =      rust_tokenizer.encode(__lowerCAmelCase	)
														self.assertListEqual(__lowerCAmelCase	,			__lowerCAmelCase	)






							def 					_lowerCamelCase		(    self	,			__lowerCAmelCase=15	):
														for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																					with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""	):
																												UpperCamelCase__					  =      self.rust_tokenizer_class.from_pretrained(__lowerCAmelCase	,			**__lowerCAmelCase	)

																												# Simple input
																												UpperCamelCase__					  =      """This is a simple input"""
																												UpperCamelCase__					  =      ["""This is a simple input 1""", """This is a simple input 2"""]
																												UpperCamelCase__					  =      ("""This is a simple input""", """This is a pair""")
																												UpperCamelCase__					  =      [
																												    ("""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(__lowerCAmelCase	,			tokenizer_r.encode	,			__lowerCAmelCase	,			max_length=__lowerCAmelCase	,			padding="""max_length"""	)

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

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

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

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

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






							def 					_lowerCamelCase		(    self	):
														pass






							def 					_lowerCamelCase		(    self	):
														UpperCamelCase__					  =      ReformerTokenizer(__lowerCAmelCase	,			keep_accents=__lowerCAmelCase	)

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

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

														UpperCamelCase__					  =      tokenizer.tokenize("""I was born in 92000, and this is falsé."""	)
														self.assertListEqual(
														    __lowerCAmelCase	,			[
														        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""",
														        """.""",
														    ]	,			)
														UpperCamelCase__					  =      tokenizer.convert_tokens_to_ids(__lowerCAmelCase	)
														self.assertListEqual(
														    __lowerCAmelCase	,			[8, 21, 84, 55, 24, 19, 7, 0, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 0, 4]	,			)

														UpperCamelCase__					  =      tokenizer.convert_ids_to_tokens(__lowerCAmelCase	)
														self.assertListEqual(
														    __lowerCAmelCase	,			[
														        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 					_lowerCamelCase		(    self	):
														return ReformerTokenizer.from_pretrained("""google/reformer-crime-and-punishment"""	)






							@slow
							def 					_lowerCamelCase		(    self	):
														UpperCamelCase__					  =      """Hello World!"""
														UpperCamelCase__					  =      [126, 32, 262, 152, 38, 72, 287]

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






							@slow
							def 					_lowerCamelCase		(    self	):
														UpperCamelCase__					  =      (
														    """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"""
														)
														UpperCamelCase__					  =      [
														    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(__lowerCAmelCase	,			self.big_tokenizer.encode(__lowerCAmelCase	)	)






							@require_torch
							@slow
							def 					_lowerCamelCase		(    self	):
														import torch

														from transformers import ReformerConfig, ReformerModel

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

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

														# 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(**__lowerCAmelCase	)
																					model(**__lowerCAmelCase	)







							@slow
							def 					_lowerCamelCase		(    self	):
														# fmt: off
														UpperCamelCase__					  =      {"""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
														UpperCamelCase__					  =      [
														    """This is a very simple sentence.""",
														    """The quick brown fox jumps over the lazy dog.""",
														]

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











# 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


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

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

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




