


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


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

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

if is_torch_available():
    A   :					Optional[int]	=      "pt"
elif is_tf_available():
    A   :					str	=      "tf"
else:
    A   :					Optional[int]	=      "jax"







@require_sentencepiece
class     _lowercase				(							__snake_case							,						unittest.TestCase):


       """simple docstring"""




       A__      		=    MarianTokenizer
       A__      		=    False
       A__      		=    True





       def 		lowerCAmelCase  (     self							:    Dict ):


             '''simple docstring'''



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

             lowerCamelCase__	:       Any					=						MarianTokenizer.from_pretrained(self.tmpdirname )
             tokenizer.save_pretrained(self.tmpdirname )





       def 		lowerCAmelCase  (     self							:    Optional[Any]      ,   **__lowerCamelCase							:    Any ):


             '''simple docstring'''



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





       def 		lowerCAmelCase  (     self							:    Dict      ,   __lowerCamelCase							:    Optional[int] ):


             '''simple docstring'''



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





       def 		lowerCAmelCase  (     self							:    Dict ):


             '''simple docstring'''



             lowerCamelCase__	:       Dict					=						"""</s>"""
             lowerCamelCase__	:       List[str]					=						0

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





       def 		lowerCAmelCase  (     self							:    List[Any] ):


             '''simple docstring'''



             lowerCamelCase__	:       int					=						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(_lowercase )      ,   9 )





       def 		lowerCAmelCase  (     self							:    Tuple ):


             '''simple docstring'''



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





       def 		lowerCAmelCase  (     self							:    Union[str, Any] ):


             '''simple docstring'''



             lowerCamelCase__	:       Union[str, Any]					=						MarianTokenizer.from_pretrained(f"{ORG_NAME}opus-mt-en-de" )
             lowerCamelCase__	:       Optional[Any]					=						en_de_tokenizer(["I am a small frog"]      ,   return_tensors=_lowercase )
             self.assertIsInstance(_lowercase      ,   _lowercase )
             lowerCamelCase__	:       Optional[int]					=						[38, 121, 14, 697, 38848, 0]
             self.assertListEqual(_lowercase      ,   batch.input_ids[0] )

             lowerCamelCase__	:       str					=						tempfile.mkdtemp()
             en_de_tokenizer.save_pretrained(_lowercase )
             lowerCamelCase__	:       Any					=						[x.name for x in Path(_lowercase ).glob("*" )]
             self.assertIn("source.spm"      ,   _lowercase )
             MarianTokenizer.from_pretrained(_lowercase )





       def 		lowerCAmelCase  (     self							:    Optional[Any] ):


             '''simple docstring'''



             lowerCamelCase__	:       List[Any]					=						self.get_tokenizer()

             lowerCamelCase__	:       Optional[int]					=						tok(
                 ["I am a small frog" * 1000, "I am a small frog"]      ,   padding=_lowercase      ,   truncation=_lowercase      ,   return_tensors=_lowercase )
             self.assertIsInstance(_lowercase      ,   _lowercase )
             self.assertEqual(batch.input_ids.shape      ,   (2, 512) )





       def 		lowerCAmelCase  (     self							:    Tuple ):


             '''simple docstring'''



             lowerCamelCase__	:       List[str]					=						self.get_tokenizer()
             lowerCamelCase__	:       Dict					=						tok(["I am a tiny frog", "I am a small frog"]      ,   padding=_lowercase      ,   return_tensors=_lowercase )
             self.assertIsInstance(_lowercase      ,   _lowercase )
             self.assertEqual(batch_smaller.input_ids.shape      ,   (2, 10) )





       @slow
       def 		lowerCAmelCase  (     self							:    Optional[Any] ):


             '''simple docstring'''



             lowerCamelCase__	:       int					=						{"""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=_lowercase      ,   model_name="Helsinki-NLP/opus-mt-en-de"      ,   revision="1a8c2263da11e68e50938f97e10cd57820bd504c"      ,   decode_kwargs={"use_source_tokenizer": True}      ,   )





       def 		lowerCAmelCase  (     self							:    Optional[Any] ):


             '''simple docstring'''



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

             lowerCamelCase__	:       Optional[int]					=						"""Tämä on testi"""
             lowerCamelCase__	:       Tuple					=						"""This is a test"""

             lowerCamelCase__	:       List[Any]					=						[76, 7, 2047, 2]
             lowerCamelCase__	:       List[Any]					=						[69, 12, 11, 940, 2]

             lowerCamelCase__	:       Union[str, Any]					=						tokenizer(_lowercase ).input_ids
             self.assertListEqual(_lowercase      ,   _lowercase )

             lowerCamelCase__	:       Optional[int]					=						tokenizer(text_target=_lowercase ).input_ids
             self.assertListEqual(_lowercase      ,   _lowercase )

             lowerCamelCase__	:       Tuple					=						tokenizer.decode(_lowercase      ,   skip_special_tokens=_lowercase )
             self.assertEqual(_lowercase      ,   _lowercase )






from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


A   :					Union[str, Any]	=      logging.get_logger(__name__)

A   :					Dict	=      {
    "kssteven/ibert-roberta-base": "https://huggingface.co/kssteven/ibert-roberta-base/resolve/main/config.json",
    "kssteven/ibert-roberta-large": "https://huggingface.co/kssteven/ibert-roberta-large/resolve/main/config.json",
    "kssteven/ibert-roberta-large-mnli": (
        "https://huggingface.co/kssteven/ibert-roberta-large-mnli/resolve/main/config.json"
    ),
}







class     _lowercase				(							lowercase__):


       """simple docstring"""




       A__      		=    "ibert"





       def __init__(     self							:    int      ,   __lowerCamelCase							:    List[str]=30522      ,   __lowerCamelCase							:    Optional[int]=768      ,   __lowerCamelCase							:    List[Any]=12      ,   __lowerCamelCase							:    str=12      ,   __lowerCamelCase							:    List[str]=3072      ,   __lowerCamelCase							:    Dict="gelu"      ,   __lowerCamelCase							:    Dict=0.1      ,   __lowerCamelCase							:    Optional[int]=0.1      ,   __lowerCamelCase							:    Any=512      ,   __lowerCamelCase							:    List[str]=2      ,   __lowerCamelCase							:    Union[str, Any]=0.0_2      ,   __lowerCamelCase							:    Any=1E-1_2      ,   __lowerCamelCase							:    int=1      ,   __lowerCamelCase							:    Optional[Any]=0      ,   __lowerCamelCase							:    int=2      ,   __lowerCamelCase							:    int="absolute"      ,   __lowerCamelCase							:    Tuple=False      ,   __lowerCamelCase							:    Dict="none"      ,   **__lowerCamelCase							:    Tuple      ,   ):


             '''simple docstring'''



             super().__init__(pad_token_id=__lowerCamelCase      ,   bos_token_id=__lowerCamelCase      ,   eos_token_id=__lowerCamelCase      ,   **__lowerCamelCase )

             lowerCamelCase__	:       Any					=						vocab_size
             lowerCamelCase__	:       Optional[Any]					=						hidden_size
             lowerCamelCase__	:       Optional[int]					=						num_hidden_layers
             lowerCamelCase__	:       int					=						num_attention_heads
             lowerCamelCase__	:       List[str]					=						hidden_act
             lowerCamelCase__	:       List[str]					=						intermediate_size
             lowerCamelCase__	:       Optional[int]					=						hidden_dropout_prob
             lowerCamelCase__	:       Any					=						attention_probs_dropout_prob
             lowerCamelCase__	:       Tuple					=						max_position_embeddings
             lowerCamelCase__	:       Any					=						type_vocab_size
             lowerCamelCase__	:       Optional[int]					=						initializer_range
             lowerCamelCase__	:       Tuple					=						layer_norm_eps
             lowerCamelCase__	:       int					=						position_embedding_type
             lowerCamelCase__	:       List[str]					=						quant_mode
             lowerCamelCase__	:       int					=						force_dequant







class     _lowercase				(							lowercase__):


       """simple docstring"""




       @property
       def 		lowerCAmelCase  (     self							:    List[Any] ):


             '''simple docstring'''



             if self.task == "multiple-choice":
                   lowerCamelCase__	:       Any					=						{0: "batch", 1: "choice", 2: "sequence"}
             else:
                   lowerCamelCase__	:       Any					=						{0: "batch", 1: "sequence"}
             return OrderedDict(
                 [
                     ("input_ids", dynamic_axis),
                     ("attention_mask", dynamic_axis),
                 ] )


