
import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, BatchEncoding, MBartTokenizer, MBartTokenizerFast, is_torch_available
from transformers.testing_utils import (
    get_tests_dir,
    nested_simplify,
    require_sentencepiece,
    require_tokenizers,
    require_torch,
)

from ...test_tokenization_common import TokenizerTesterMixin


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


if is_torch_available():
			from transformers.models.mbart.modeling_mbart import shift_tokens_right

__A							=2_5_0_0_0_4
__A							=2_5_0_0_2_0




@require_sentencepiece
@require_tokenizers
class        _SCREAMING_SNAKE_CASE	( snake_case_     ,			unittest.TestCase		):
	lowerCAmelCase__   =					MBartTokenizer
	lowerCAmelCase__   =					MBartTokenizerFast
	lowerCAmelCase__   =					True
	lowerCAmelCase__   =					True



	def        SCREAMING_SNAKE_CASE_(       self					)							->			Any:
					super().setUp()

					# We have a SentencePiece fixture for testing
					lowerCamelCase_         =     MBartTokenizer(lowercase		,    keep_accents=lowercase					)
					tokenizer.save_pretrained(self.tmpdirname					)



	def        SCREAMING_SNAKE_CASE_(       self					)							->			Any:
					lowerCamelCase_         =     MBartTokenizer(lowercase		,    keep_accents=lowercase					)

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

					self.assertListEqual(
					    tokenizer.convert_tokens_to_ids(lowercase					)		,    [value + tokenizer.fairseq_offset for value in [285, 46, 10, 170, 382]]		,    )

					lowerCamelCase_         =     tokenizer.tokenize("I was born in 92000, and this is falsé."					)
					self.assertListEqual(
					    lowercase		,    [
					        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(lowercase					)
					self.assertListEqual(
					    lowercase		,    [
					        value + tokenizer.fairseq_offset
					        for value in [8, 21, 84, 55, 24, 19, 7, 2, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 2, 4]
					        #                                       ^ unk: 2 + 1 = 3                  unk: 2 + 1 = 3 ^
					    ]		,    )

					lowerCamelCase_         =     tokenizer.convert_ids_to_tokens(lowercase					)
					self.assertListEqual(
					    lowercase		,    [
					        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>",
					        ".",
					    ]		,    )



	def        SCREAMING_SNAKE_CASE_(       self					)							->			Any:
					if not self.test_slow_tokenizer:
									# as we don't have a slow version, we can't compare the outputs between slow and fast versions
									return

					lowerCamelCase_         =     (self.rust_tokenizer_class, "hf-internal-testing/tiny-random-mbart", {})
					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(lowercase		,    **lowercase					)
													lowerCamelCase_         =     self.tokenizer_class.from_pretrained(lowercase		,    **lowercase					)

													lowerCamelCase_         =     tempfile.mkdtemp()

													lowerCamelCase_         =     tokenizer_r.save_pretrained(lowercase					)
													lowerCamelCase_         =     tokenizer_p.save_pretrained(lowercase					)

													# Checks it save with the same files + the tokenizer.json file for the fast one
													self.assertTrue(any("tokenizer.json" in f for f in tokenizer_r_files					)					)
													lowerCamelCase_         =     tuple(f for f in tokenizer_r_files if "tokenizer.json" not in f					)
													self.assertSequenceEqual(lowercase		,    lowercase					)

													# Checks everything loads correctly in the same way
													lowerCamelCase_         =     tokenizer_r.from_pretrained(lowercase					)
													lowerCamelCase_         =     tokenizer_p.from_pretrained(lowercase					)

													# Check special tokens are set accordingly on Rust and Python
													for key in tokenizer_pp.special_tokens_map:
																	self.assertTrue(hasattr(lowercase		,    lowercase					)					)
																	# self.assertEqual(getattr(tokenizer_rp, key), getattr(tokenizer_pp, key))
																	# self.assertEqual(getattr(tokenizer_rp, key + "_id"), getattr(tokenizer_pp, key + "_id"))

													shutil.rmtree(lowercase					)

													# Save tokenizer rust, legacy_format=True
													lowerCamelCase_         =     tempfile.mkdtemp()

													lowerCamelCase_         =     tokenizer_r.save_pretrained(lowercase		,    legacy_format=lowercase					)
													lowerCamelCase_         =     tokenizer_p.save_pretrained(lowercase					)

													# Checks it save with the same files
													self.assertSequenceEqual(lowercase		,    lowercase					)

													# Checks everything loads correctly in the same way
													lowerCamelCase_         =     tokenizer_r.from_pretrained(lowercase					)
													lowerCamelCase_         =     tokenizer_p.from_pretrained(lowercase					)

													# Check special tokens are set accordingly on Rust and Python
													for key in tokenizer_pp.special_tokens_map:
																	self.assertTrue(hasattr(lowercase		,    lowercase					)					)

													shutil.rmtree(lowercase					)

													# Save tokenizer rust, legacy_format=False
													lowerCamelCase_         =     tempfile.mkdtemp()

													lowerCamelCase_         =     tokenizer_r.save_pretrained(lowercase		,    legacy_format=lowercase					)
													lowerCamelCase_         =     tokenizer_p.save_pretrained(lowercase					)

													# Checks it saved the tokenizer.json file
													self.assertTrue(any("tokenizer.json" in f for f in tokenizer_r_files					)					)

													# Checks everything loads correctly in the same way
													lowerCamelCase_         =     tokenizer_r.from_pretrained(lowercase					)
													lowerCamelCase_         =     tokenizer_p.from_pretrained(lowercase					)

													# Check special tokens are set accordingly on Rust and Python
													for key in tokenizer_pp.special_tokens_map:
																	self.assertTrue(hasattr(lowercase		,    lowercase					)					)

													shutil.rmtree(lowercase					)




@require_torch
@require_sentencepiece
@require_tokenizers
class        _SCREAMING_SNAKE_CASE	( unittest.TestCase		):
	lowerCAmelCase__   =					'facebook/mbart-large-en-ro'
	lowerCAmelCase__   =					[
	    ' UN Chief Says There Is No Military Solution in Syria',
	    ' Secretary-General Ban Ki-moon says his response to Russia\'s stepped up military support for Syria is that "there is no military solution" to the nearly five-year conflict and more weapons will only worsen the violence and misery for millions of people.',
	]
	lowerCAmelCase__   =					[
	    'Şeful ONU declară că nu există o soluţie militară în Siria',
	    'Secretarul General Ban Ki-moon declară că răspunsul său la intensificarea sprijinului militar al Rusiei'
	    ' pentru Siria este că "nu există o soluţie militară" la conflictul de aproape cinci ani şi că noi arme nu vor'
	    ' face decât să înrăutăţească violenţele şi mizeria pentru milioane de oameni.',
	]
	lowerCAmelCase__   =					[82_74, 12_78_73, 2_59_16, 7, 86_22, 20_71, 4_38, 6_74_85, 53, 18_78_95, 23, 5_17_12, 2, EN_CODE]



	@classmethod
	def        SCREAMING_SNAKE_CASE_(       cls					)							->			Any:
					lowerCamelCase_         =     MBartTokenizer.from_pretrained(
					    cls.checkpoint_name		,    src_lang="en_XX"		,    tgt_lang="ro_RO"					)
					lowerCamelCase_         =     1
					return cls



	def        SCREAMING_SNAKE_CASE_(       self					)							->			Optional[Any]:
					self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["ar_AR"]		,    250001					)
					self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["en_EN"]		,    250004					)
					self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["ro_RO"]		,    250020					)



	def        SCREAMING_SNAKE_CASE_(       self					)							->			Tuple:
					lowerCamelCase_         =     self.tokenizer.batch_encode_plus(self.src_text					).input_ids[0]
					self.assertListEqual(self.expected_src_tokens		,    lowercase					)



	def        SCREAMING_SNAKE_CASE_(       self					)							->			Tuple:
					self.assertIn(lowercase		,    self.tokenizer.all_special_ids					)
					lowerCamelCase_         =     [RO_CODE, 884, 9019, 96, 9, 916, 86792, 36, 18743, 15596, 5, 2]
					lowerCamelCase_         =     self.tokenizer.decode(lowercase		,    skip_special_tokens=lowercase					)
					lowerCamelCase_         =     self.tokenizer.decode(generated_ids[1:]		,    skip_special_tokens=lowercase					)
					self.assertEqual(lowercase		,    lowercase					)
					self.assertNotIn(self.tokenizer.eos_token		,    lowercase					)



	def        SCREAMING_SNAKE_CASE_(       self					)							->			Optional[Any]:
					lowerCamelCase_         =     ["this is gunna be a long sentence " * 20]
					assert isinstance(src_text[0]		,    lowercase					)
					lowerCamelCase_         =     10
					lowerCamelCase_         =     self.tokenizer(lowercase		,    max_length=lowercase		,    truncation=lowercase					).input_ids[0]
					self.assertEqual(ids[-2]		,    2					)
					self.assertEqual(ids[-1]		,    lowercase					)
					self.assertEqual(len(lowercase					)		,    lowercase					)



	def        SCREAMING_SNAKE_CASE_(       self					)							->			List[str]:
					self.assertListEqual(self.tokenizer.convert_tokens_to_ids(["<mask>", "ar_AR"]					)		,    [250026, 250001]					)



	def        SCREAMING_SNAKE_CASE_(       self					)							->			int:
					lowerCamelCase_         =     tempfile.mkdtemp()
					lowerCamelCase_         =     self.tokenizer.fairseq_tokens_to_ids
					self.tokenizer.save_pretrained(lowercase					)
					lowerCamelCase_         =     MBartTokenizer.from_pretrained(lowercase					)
					self.assertDictEqual(new_tok.fairseq_tokens_to_ids		,    lowercase					)



	@require_torch
	def        SCREAMING_SNAKE_CASE_(       self					)							->			int:
					lowerCamelCase_         =     self.tokenizer(self.src_text		,    text_target=self.tgt_text		,    padding=lowercase		,    return_tensors="pt"					)
					lowerCamelCase_         =     shift_tokens_right(batch["labels"]		,    self.tokenizer.pad_token_id					)

					# fairseq batch: https://gist.github.com/sshleifer/cba08bc2109361a74ac3760a7e30e4f4
					assert batch.input_ids[1][-2:].tolist() == [2, EN_CODE]
					assert batch.decoder_input_ids[1][0].tolist() == RO_CODE
					assert batch.decoder_input_ids[1][-1] == 2
					assert batch.labels[1][-2:].tolist() == [2, RO_CODE]



	@require_torch
	def        SCREAMING_SNAKE_CASE_(       self					)							->			Optional[int]:
					lowerCamelCase_         =     self.tokenizer(
					    self.src_text		,    text_target=self.tgt_text		,    padding=lowercase		,    truncation=lowercase		,    max_length=len(self.expected_src_tokens					)		,    return_tensors="pt"		,    )

					lowerCamelCase_         =     shift_tokens_right(batch["labels"]		,    self.tokenizer.pad_token_id					)

					self.assertIsInstance(lowercase		,    lowercase					)

					self.assertEqual((2, 14)		,    batch.input_ids.shape					)
					self.assertEqual((2, 14)		,    batch.attention_mask.shape					)
					lowerCamelCase_         =     batch.input_ids.tolist()[0]
					self.assertListEqual(self.expected_src_tokens		,    lowercase					)
					self.assertEqual(2		,    batch.decoder_input_ids[0, -1]					)  # EOS
					# Test that special tokens are reset
					self.assertEqual(self.tokenizer.prefix_tokens		,    []					)
					self.assertEqual(self.tokenizer.suffix_tokens		,    [self.tokenizer.eos_token_id, EN_CODE]					)



	def        SCREAMING_SNAKE_CASE_(       self					)							->			List[str]:
					lowerCamelCase_         =     self.tokenizer(self.src_text		,    padding=lowercase		,    truncation=lowercase		,    max_length=3		,    return_tensors="pt"					)
					lowerCamelCase_         =     self.tokenizer(
					    text_target=self.tgt_text		,    padding=lowercase		,    truncation=lowercase		,    max_length=10		,    return_tensors="pt"					)
					lowerCamelCase_         =     targets["input_ids"]
					lowerCamelCase_         =     shift_tokens_right(lowercase		,    self.tokenizer.pad_token_id					)

					self.assertEqual(batch.input_ids.shape[1]		,    3					)
					self.assertEqual(batch.decoder_input_ids.shape[1]		,    10					)



	@require_torch
	def        SCREAMING_SNAKE_CASE_(       self					)							->			Optional[int]:
					lowerCamelCase_         =     self.tokenizer._build_translation_inputs(
					    "A test"		,    return_tensors="pt"		,    src_lang="en_XX"		,    tgt_lang="ar_AR"					)

					self.assertEqual(
					    nested_simplify(lowercase					)		,    {
					        # A, test, EOS, en_XX
					        "input_ids": [[62, 3034, 2, 250004]],
					        "attention_mask": [[1, 1, 1, 1]],
					        # ar_AR
					        "forced_bos_token_id": 250001,
					    }		,    )




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


__A							='''http://www.mocksite.com/file1.txt'''
__A							='''"text": ["foo", "foo"]'''
__A							='''6d8ce9aa78a471c7477201efbeabd3bb01ac2e7d100a6dc024ba1608361f90a8'''




class        _SCREAMING_SNAKE_CASE	:
	lowerCAmelCase__   =					2_00
	lowerCAmelCase__   =					{'Content-Length': '100'}
	lowerCAmelCase__   =					{}



	def        SCREAMING_SNAKE_CASE_(       self		,    **lowercase					)							->			int:
					return [bytes(lowercase		,    "utf-8"					)]





def      lowerCamelCase_					(							*lowerCamelCase__      ,					**lowerCamelCase__       ):
				return MockResponse()





@pytest.mark.parametrize("urls_type"      ,					[str, list, dict]       )
def      lowerCamelCase_					(							lowerCamelCase__      ,					lowerCamelCase__      ,					lowerCamelCase__       ):
				import requests

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

				lowerCamelCase_         =     URL
				if issubclass(lowerCamelCase__      ,					lowerCamelCase__       ):
								lowerCamelCase_         =     url
				elif issubclass(lowerCamelCase__      ,					lowerCamelCase__       ):
								lowerCamelCase_         =     [url]
				elif issubclass(lowerCamelCase__      ,					lowerCamelCase__       ):
								lowerCamelCase_         =     {"train": url}
				lowerCamelCase_         =     "dummy"
				lowerCamelCase_         =     "downloads"
				lowerCamelCase_         =     tmp_path
				lowerCamelCase_         =     DownloadConfig(
				    cache_dir=os.path.join(lowerCamelCase__      ,					lowerCamelCase__       )      ,					use_etag=lowerCamelCase__      ,					)
				lowerCamelCase_         =     DownloadManager(dataset_name=lowerCamelCase__      ,					download_config=lowerCamelCase__       )
				lowerCamelCase_         =     dl_manager.download(lowerCamelCase__       )
				lowerCamelCase_         =     urls
				for downloaded_paths in [downloaded_paths]:
								if isinstance(lowerCamelCase__      ,					lowerCamelCase__       ):
												lowerCamelCase_         =     [downloaded_paths]
												lowerCamelCase_         =     [urls]
								elif isinstance(lowerCamelCase__      ,					lowerCamelCase__       ):
												assert "train" in downloaded_paths.keys()
												lowerCamelCase_         =     downloaded_paths.values()
												lowerCamelCase_         =     urls.values()
								assert downloaded_paths
								for downloaded_path, input_url in zip(lowerCamelCase__      ,					lowerCamelCase__       ):
												assert downloaded_path == dl_manager.downloaded_paths[input_url]
												lowerCamelCase_         =     Path(lowerCamelCase__       )
												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      lowerCamelCase_					(							lowerCamelCase__      ,					lowerCamelCase__      ,					lowerCamelCase__       ):
				lowerCamelCase_         =     str(lowerCamelCase__       )
				if issubclass(lowerCamelCase__      ,					lowerCamelCase__       ):
								lowerCamelCase_         =     filename
				elif issubclass(lowerCamelCase__      ,					lowerCamelCase__       ):
								lowerCamelCase_         =     [filename]
				elif issubclass(lowerCamelCase__      ,					lowerCamelCase__       ):
								lowerCamelCase_         =     {"train": filename}
				lowerCamelCase_         =     "dummy"
				lowerCamelCase_         =     xz_file.parent
				lowerCamelCase_         =     "extracted"
				lowerCamelCase_         =     DownloadConfig(
				    cache_dir=lowerCamelCase__      ,					use_etag=lowerCamelCase__      ,					)
				lowerCamelCase_         =     DownloadManager(dataset_name=lowerCamelCase__      ,					download_config=lowerCamelCase__       )
				lowerCamelCase_         =     dl_manager.extract(lowerCamelCase__       )
				lowerCamelCase_         =     paths
				for extracted_paths in [extracted_paths]:
								if isinstance(lowerCamelCase__      ,					lowerCamelCase__       ):
												lowerCamelCase_         =     [extracted_paths]
												lowerCamelCase_         =     [paths]
								elif isinstance(lowerCamelCase__      ,					lowerCamelCase__       ):
												assert "train" in extracted_paths.keys()
												lowerCamelCase_         =     extracted_paths.values()
												lowerCamelCase_         =     paths.values()
								assert extracted_paths
								for extracted_path, input_path in zip(lowerCamelCase__      ,					lowerCamelCase__       ):
												assert extracted_path == dl_manager.extracted_paths[input_path]
												lowerCamelCase_         =     Path(lowerCamelCase__       )
												lowerCamelCase_         =     extracted_path.parts
												assert parts[-1] == hash_url_to_filename(lowerCamelCase__      ,					etag=lowerCamelCase__       )
												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      lowerCamelCase_					(							lowerCamelCase__      ,					lowerCamelCase__       ):
				assert path.endswith(".jsonl"       )
				for num_items, line in enumerate(lowerCamelCase__      ,					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      lowerCamelCase_					(							lowerCamelCase__      ,					lowerCamelCase__       ):
				lowerCamelCase_         =     request.getfixturevalue(lowerCamelCase__       )
				lowerCamelCase_         =     DownloadManager()
				for num_jsonl, (path, file) in enumerate(dl_manager.iter_archive(lowerCamelCase__       )      ,					start=1       ):
								_test_jsonl(lowerCamelCase__      ,					lowerCamelCase__       )
				assert num_jsonl == 2





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





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


