
'''simple docstring'''

import tempfile
import unittest
from pathlib import Path
from shutil import copyfile

from transformers import BatchEncoding, MarianTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, slow
from transformers.utils import is_sentencepiece_available, is_tf_available, is_torch_available


if is_sentencepiece_available():
		from transformers.models.marian.tokenization_marian import VOCAB_FILES_NAMES, save_json

from ...test_tokenization_common import TokenizerTesterMixin


UpperCAmelCase__ :			List[str]											=		get_tests_dir("fixtures/test_sentencepiece.model")

UpperCAmelCase__ :			List[str]											=		{"target_lang": "fi", "source_lang": "en"}
UpperCAmelCase__ :			str											=		">>zh<<"
UpperCAmelCase__ :			List[Any]											=		"Helsinki-NLP/"

if is_torch_available():
		UpperCAmelCase__ :			Tuple											=		"pt"
elif is_tf_available():
		UpperCAmelCase__ :			Union[str, Any]											=		"tf"
else:
		UpperCAmelCase__ :			Optional[Any]											=		"jax"






@require_sentencepiece
class  A  (						SCREAMING_SNAKE_CASE__	,   unittest.TestCase     ):
	snake_case__   :Any   =  MarianTokenizer
	snake_case__   :Any   =  False
	snake_case__   :Optional[int]   =  True





	def 				__SCREAMING_SNAKE_CASE	(       self      :							int				):


				"""simple docstring"""

				super().setUp()
				lowerCAmelCase__										=				["</s>", "<unk>", "▁This", "▁is", "▁a", "▁t", "est", "\u0120", "<pad>"]
				lowerCAmelCase__										=				dict(zip(__magic_name__   ,				range(len(__magic_name__				)				)				)				)
				lowerCAmelCase__										=				Path(self.tmpdirname				)
				save_json(__magic_name__   ,				save_dir / VOCAB_FILES_NAMES["vocab"]				)
				save_json(__magic_name__   ,				save_dir / VOCAB_FILES_NAMES["tokenizer_config_file"]				)
				if not (save_dir / VOCAB_FILES_NAMES["source_spm"]).exists():
							copyfile(__magic_name__   ,				save_dir / VOCAB_FILES_NAMES["source_spm"]				)
							copyfile(__magic_name__   ,				save_dir / VOCAB_FILES_NAMES["target_spm"]				)

				lowerCAmelCase__										=				MarianTokenizer.from_pretrained(self.tmpdirname				)
				tokenizer.save_pretrained(self.tmpdirname				)





	def 				__SCREAMING_SNAKE_CASE	(       self      :							str   ,				**__magic_name__      :							Optional[int]				):


				"""simple docstring"""

				return MarianTokenizer.from_pretrained(self.tmpdirname   ,				**__magic_name__				)





	def 				__SCREAMING_SNAKE_CASE	(       self      :							List[str]   ,				__magic_name__      :							Union[str, Any]				):


				"""simple docstring"""

				return (
				    "This is a test",
				    "This is a test",
				)





	def 				__SCREAMING_SNAKE_CASE	(       self      :							Optional[Any]				):


				"""simple docstring"""

				lowerCAmelCase__										=				"</s>"
				lowerCAmelCase__										=				0

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





	def 				__SCREAMING_SNAKE_CASE	(       self      :							Any				):


				"""simple docstring"""

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

				self.assertEqual(vocab_keys[0]   ,				"</s>"				)
				self.assertEqual(vocab_keys[1]   ,				"<unk>"				)
				self.assertEqual(vocab_keys[-1]   ,				"<pad>"				)
				self.assertEqual(len(__magic_name__				)   ,				9				)





	def 				__SCREAMING_SNAKE_CASE	(       self      :							Tuple				):


				"""simple docstring"""

				self.assertEqual(self.get_tokenizer().vocab_size   ,				9				)





	def 				__SCREAMING_SNAKE_CASE	(       self      :							Tuple				):


				"""simple docstring"""

				lowerCAmelCase__										=				MarianTokenizer.from_pretrained(f"""{ORG_NAME}opus-mt-en-de"""				)
				lowerCAmelCase__										=				en_de_tokenizer(["I am a small frog"]   ,				return_tensors=__magic_name__				)
				self.assertIsInstance(__magic_name__   ,				__magic_name__				)
				lowerCAmelCase__										=				[38, 121, 14, 697, 38848, 0]
				self.assertListEqual(__magic_name__   ,				batch.input_ids[0]				)

				lowerCAmelCase__										=				tempfile.mkdtemp()
				en_de_tokenizer.save_pretrained(__magic_name__				)
				lowerCAmelCase__										=				[x.name for x in Path(__magic_name__				).glob("*"				)]
				self.assertIn("source.spm"   ,				__magic_name__				)
				MarianTokenizer.from_pretrained(__magic_name__				)





	def 				__SCREAMING_SNAKE_CASE	(       self      :							List[Any]				):


				"""simple docstring"""

				lowerCAmelCase__										=				self.get_tokenizer()

				lowerCAmelCase__										=				tok(
				    ["I am a small frog" * 1000, "I am a small frog"]   ,				padding=__magic_name__   ,				truncation=__magic_name__   ,				return_tensors=__magic_name__				)
				self.assertIsInstance(__magic_name__   ,				__magic_name__				)
				self.assertEqual(batch.input_ids.shape   ,				(2, 512)				)





	def 				__SCREAMING_SNAKE_CASE	(       self      :							Optional[Any]				):


				"""simple docstring"""

				lowerCAmelCase__										=				self.get_tokenizer()
				lowerCAmelCase__										=				tok(["I am a tiny frog", "I am a small frog"]   ,				padding=__magic_name__   ,				return_tensors=__magic_name__				)
				self.assertIsInstance(__magic_name__   ,				__magic_name__				)
				self.assertEqual(batch_smaller.input_ids.shape   ,				(2, 10)				)





	@slow
	def 				__SCREAMING_SNAKE_CASE	(       self      :							List[str]				):


				"""simple docstring"""

				lowerCAmelCase__										=				{"input_ids": [[43495, 462, 20, 42164, 1369, 52, 464, 132, 1703, 492, 13, 7491, 38999, 6, 8, 464, 132, 1703, 492, 13, 4669, 37867, 13, 7525, 27, 1593, 988, 13, 33972, 7029, 6, 20, 8251, 383, 2, 270, 5866, 3788, 2, 2353, 8251, 12338, 2, 13958, 387, 2, 3629, 6953, 188, 2900, 2, 13958, 8011, 11501, 23, 8460, 4073, 34009, 20, 435, 11439, 27, 8, 8460, 4073, 6004, 20, 9988, 375, 27, 33, 266, 1945, 1076, 1350, 37867, 3288, 5, 577, 1076, 4374, 8, 5082, 5, 26453, 257, 556, 403, 2, 242, 132, 383, 316, 492, 8, 10767, 6, 316, 304, 4239, 3, 0], [148, 15722, 19, 1839, 12, 1350, 13, 22327, 5082, 5418, 47567, 35938, 59, 318, 19552, 108, 2183, 54, 14976, 4835, 32, 547, 1114, 8, 315, 2417, 5, 92, 19088, 3, 0, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100], [36, 6395, 12570, 39147, 11597, 6, 266, 4, 45405, 7296, 3, 0, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100]], "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, 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, 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, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
				# fmt: on

				self.tokenizer_integration_test_util(
				    expected_encoding=__magic_name__   ,				model_name="Helsinki-NLP/opus-mt-en-de"   ,				revision="1a8c2263da11e68e50938f97e10cd57820bd504c"   ,				decode_kwargs={"use_source_tokenizer": True}   ,				)







	def 				__SCREAMING_SNAKE_CASE	(       self      :							Any				):


				"""simple docstring"""

				lowerCAmelCase__										=				MarianTokenizer.from_pretrained("hf-internal-testing/test-marian-two-vocabs"				)

				lowerCAmelCase__										=				"Tämä on testi"
				lowerCAmelCase__										=				"This is a test"

				lowerCAmelCase__										=				[76, 7, 2047, 2]
				lowerCAmelCase__										=				[69, 12, 11, 940, 2]

				lowerCAmelCase__										=				tokenizer(__magic_name__				).input_ids
				self.assertListEqual(__magic_name__   ,				__magic_name__				)

				lowerCAmelCase__										=				tokenizer(text_target=__magic_name__				).input_ids
				self.assertListEqual(__magic_name__   ,				__magic_name__				)

				lowerCAmelCase__										=				tokenizer.decode(__magic_name__   ,				skip_special_tokens=__magic_name__				)
				self.assertEqual(__magic_name__   ,				__magic_name__				)











'''simple docstring'''






# flake8: noqa
# Lint as: python3
A_			      =		[
    "VerificationMode",
    "Version",
    "disable_progress_bar",
    "enable_progress_bar",
    "is_progress_bar_enabled",
    "experimental",
]

from .info_utils import VerificationMode
from .logging import disable_progress_bar, enable_progress_bar, is_progress_bar_enabled
from .version import Version
from .experimental import experimental
