import unittest

from transformers.models.xlm_prophetnet.tokenization_xlm_prophetnet import SPIECE_UNDERLINE, XLMProphetNetTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


A     :  int					     =       get_tests_dir("fixtures/test_sentencepiece.model")


@require_sentencepiece
class   lowerCamelCase					(SCREAMING_SNAKE_CASE__  ,      unittest.TestCase					):
  """simple docstring"""







  lowerCamelCase__     =						XLMProphetNetTokenizer
  lowerCamelCase__     =						False
  lowerCamelCase__     =						True







  def    __A     (							self :       Dict   )  ->	Optional[Any]:
        super().setUp()

        # We have a SentencePiece fixture for testing
        SCREAMING_SNAKE_CASE_          =  XLMProphetNetTokenizer(__magic_name__  ,     keep_accents=__magic_name__   )
        tokenizer.save_pretrained(self.tmpdirname   )







  def    __A     (							self :       Union[str, Any]   )  ->	Union[str, Any]:
        SCREAMING_SNAKE_CASE_          =  "[PAD]"
        SCREAMING_SNAKE_CASE_          =  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    __A     (							self :       List[Any]   )  ->	List[str]:
        SCREAMING_SNAKE_CASE_          =  list(self.get_tokenizer().get_vocab().keys()   )

        self.assertEqual(vocab_keys[0]  ,     "[PAD]"   )
        self.assertEqual(vocab_keys[1]  ,     "[CLS]"   )
        self.assertEqual(vocab_keys[-1]  ,     "j"   )
        self.assertEqual(len(__magic_name__   )  ,     1_012   )







  def    __A     (							self :       List[Any]   )  ->	str:
        self.assertEqual(self.get_tokenizer().vocab_size  ,     1_012   )







  def    __A     (							self :       Tuple   )  ->	Union[str, Any]:
        SCREAMING_SNAKE_CASE_          =  XLMProphetNetTokenizer(__magic_name__  ,     keep_accents=__magic_name__   )

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

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

        SCREAMING_SNAKE_CASE_          =  tokenizer.tokenize("I was born in 92000, and this is falsé."   )
        self.assertListEqual(
            __magic_name__  ,     [
                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",
                ".",
            ]  ,     )
        SCREAMING_SNAKE_CASE_          =  tokenizer.convert_tokens_to_ids(__magic_name__   )
        self.assertListEqual(
            __magic_name__  ,     [
                value + tokenizer.fairseq_offset
                for value in [8, 21, 84, 55, 24, 19, 7, -9, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, -9, 4]
            ]  ,     )

        SCREAMING_SNAKE_CASE_          =  tokenizer.convert_ids_to_tokens(__magic_name__   )
        self.assertListEqual(
            __magic_name__  ,     [
                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    __A     (							self :       List[Any]   )  ->	int:
        return XLMProphetNetTokenizer.from_pretrained("microsoft/xprophetnet-large-wiki100-cased"   )







  @slow
  def    __A     (							self :       Tuple   )  ->	str:
        SCREAMING_SNAKE_CASE_          =  "Hello World!"
        SCREAMING_SNAKE_CASE_          =  [35_389, 6_672, 49, 2]
        self.assertListEqual(__magic_name__  ,     self.big_tokenizer.encode(__magic_name__   )   )







  @slow
  def    __A     (							self :       Union[str, Any]   )  ->	int:
        # fmt: off
        SCREAMING_SNAKE_CASE_          =  {"input_ids": [[11_073, 82_783, 18, 26, 82_783, 549, 51_540, 248, 17_209, 1_301, 217, 20, 215_186, 1_325, 147, 17_209, 1_301, 217, 20, 56_370, 53, 122_020, 20, 16_477, 27, 87_355, 4_548, 20, 4_728, 78_392, 17, 159_969, 18, 26, 24_491, 629, 15, 538, 22_704, 5_439, 15, 2_788, 24_491, 9_885, 15, 43_534, 605, 15, 814, 18_403, 33_200, 29, 15, 43_534, 24_458, 12_410, 111, 24_966, 83_669, 9_637, 144_068, 26, 850, 22_346, 27, 147, 24_966, 83_669, 83_490, 26, 39_113, 735, 27, 689, 656, 2_800, 1_339, 4_600, 53, 122_020, 115_785, 34, 816, 1_339, 46_887, 18, 147, 53_905, 1_951, 42_238, 41_170, 17_732, 834, 436, 15, 27_523, 98_733, 217, 147, 5_542, 4_981, 930, 17_347, 16, 2], [20_091, 629, 94, 82_786, 58, 490, 20, 1_528, 84, 53_905, 344, 80_592, 110_128, 18_822, 5_267, 1_306, 62, 152_537, 308, 7_997, 401, 124_427, 549, 35_442, 225, 109, 15_055, 25_748, 147, 7_119, 43_712, 34, 767, 135_366, 18, 16, 2, 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], [592, 63_784, 119_466, 17, 147_808, 88_214, 18, 656, 81, 32, 3_296, 10_280, 16, 2, 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, 0]], "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, 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], [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, 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="microsoft/xprophetnet-large-wiki100-cased"  ,     revision="1acad1643ddd54a44df6a1b797ada8373685d90e"  ,     )



import os
import unittest

from huggingface_hub.utils import are_progress_bars_disabled

import transformers.models.bart.tokenization_bart
from transformers import logging
from transformers.testing_utils import CaptureLogger, mockenv, mockenv_context
from transformers.utils.logging import disable_progress_bar, enable_progress_bar


class   lowerCamelCase					(unittest.TestCase					):
  """simple docstring"""







  def    __A     (							self :       List[Any]   )  ->	Optional[int]:
        SCREAMING_SNAKE_CASE_          =  logging.get_logger()

        # the current default level is logging.WARNING
        SCREAMING_SNAKE_CASE_          =  logging.get_verbosity()

        logging.set_verbosity_error()
        self.assertEqual(logger.getEffectiveLevel()  ,     logging.get_verbosity()   )

        logging.set_verbosity_warning()
        self.assertEqual(logger.getEffectiveLevel()  ,     logging.get_verbosity()   )

        logging.set_verbosity_info()
        self.assertEqual(logger.getEffectiveLevel()  ,     logging.get_verbosity()   )

        logging.set_verbosity_debug()
        self.assertEqual(logger.getEffectiveLevel()  ,     logging.get_verbosity()   )

        # restore to the original level
        logging.set_verbosity(__magic_name__   )







  def    __A     (							self :       Union[str, Any]   )  ->	Tuple:
        SCREAMING_SNAKE_CASE_          =  logging.get_verbosity()

        SCREAMING_SNAKE_CASE_          =  logging.get_logger("transformers.models.bart.tokenization_bart"   )
        SCREAMING_SNAKE_CASE_          =  "Testing 1, 2, 3"

        # should be able to log warnings (if default settings weren't overridden by `pytest --log-level-all`)
        if level_origin <= logging.WARNING:
              with CaptureLogger(__magic_name__   ) as cl:
                    logger.warning(__magic_name__   )
              self.assertEqual(cl.out  ,     msg + "\n"   )

        # this is setting the level for all of `transformers.*` loggers
        logging.set_verbosity_error()

        # should not be able to log warnings
        with CaptureLogger(__magic_name__   ) as cl:
              logger.warning(__magic_name__   )
        self.assertEqual(cl.out  ,     ""   )

        # should be able to log warnings again
        logging.set_verbosity_warning()
        with CaptureLogger(__magic_name__   ) as cl:
              logger.warning(__magic_name__   )
        self.assertEqual(cl.out  ,     msg + "\n"   )

        # restore to the original level
        logging.set_verbosity(__magic_name__   )







  @mockenv(TRANSFORMERS_VERBOSITY="error"   )
  def    __A     (							self :       int   )  ->	Optional[Any]:
        # reset for the env var to take effect, next time some logger call is made
        transformers.utils.logging._reset_library_root_logger()
        # this action activates the env var
        SCREAMING_SNAKE_CASE_          =  logging.get_logger("transformers.models.bart.tokenization_bart"   )

        SCREAMING_SNAKE_CASE_          =  os.getenv("TRANSFORMERS_VERBOSITY"  ,     __magic_name__   )
        SCREAMING_SNAKE_CASE_          =  logging.log_levels[env_level_str]

        SCREAMING_SNAKE_CASE_          =  logging.get_verbosity()
        self.assertEqual(
            __magic_name__  ,     __magic_name__  ,     F'''TRANSFORMERS_VERBOSITY={env_level_str}/{env_level}, but internal verbosity is {current_level}'''  ,     )

        # restore to the original level
        SCREAMING_SNAKE_CASE_          =  ""
        transformers.utils.logging._reset_library_root_logger()







  @mockenv(TRANSFORMERS_VERBOSITY="super-error"   )
  def    __A     (							self :       Dict   )  ->	List[Any]:
        # reset for the env var to take effect, next time some logger call is made
        transformers.utils.logging._reset_library_root_logger()
        SCREAMING_SNAKE_CASE_          =  logging.logging.getLogger()
        with CaptureLogger(__magic_name__   ) as cl:
              # this action activates the env var
              logging.get_logger("transformers.models.bart.tokenization_bart"   )
        self.assertIn("Unknown option TRANSFORMERS_VERBOSITY=super-error"  ,     cl.out   )

        # no need to restore as nothing was changed







  def    __A     (							self :       Dict   )  ->	Optional[int]:
        # testing `logger.warning_advice()`
        transformers.utils.logging._reset_library_root_logger()

        SCREAMING_SNAKE_CASE_          =  logging.get_logger("transformers.models.bart.tokenization_bart"   )
        SCREAMING_SNAKE_CASE_          =  "Testing 1, 2, 3"

        with mockenv_context(TRANSFORMERS_NO_ADVISORY_WARNINGS="1"   ):
              # nothing should be logged as env var disables this method
              with CaptureLogger(__magic_name__   ) as cl:
                    logger.warning_advice(__magic_name__   )
              self.assertEqual(cl.out  ,     ""   )

        with mockenv_context(TRANSFORMERS_NO_ADVISORY_WARNINGS=""   ):
              # should log normally as TRANSFORMERS_NO_ADVISORY_WARNINGS is unset
              with CaptureLogger(__magic_name__   ) as cl:
                    logger.warning_advice(__magic_name__   )
              self.assertEqual(cl.out  ,     msg + "\n"   )



def      a__ (		):
      disable_progress_bar()
      assert are_progress_bars_disabled()

      enable_progress_bar()
      assert not are_progress_bars_disabled()


