




"""simple docstring"""


import pickle
import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, XGLMTokenizer, XGLMTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


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


@require_sentencepiece
@require_tokenizers
class _lowerCamelCase    (					SCREAMING_SNAKE_CASE_       ,	unittest.TestCase						):
   _lowerCamelCase    :List[Any]     				=     XGLMTokenizer
   _lowerCamelCase    :Union[str, Any]     				=     XGLMTokenizerFast
   _lowerCamelCase    :Optional[int]     				=     True
   _lowerCamelCase    :Dict     				=     True






   def 	_lowerCAmelCase   (		self       :		int   )			->						Any:

         """simple docstring"""
         super().setUp()

         # We have a SentencePiece fixture for testing
         lowerCAmelCase__      :			List[str]   =	XGLMTokenizer(snake_case__   ,     keep_accents=snake_case__   )
         tokenizer.save_pretrained(self.tmpdirname   )






   def 	_lowerCAmelCase   (		self       :		List[str]   )			->						Union[str, Any]:

         """simple docstring"""
         lowerCAmelCase__      :			str   =	'<pad>'
         lowerCAmelCase__      :			List[str]   =	1

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






   def 	_lowerCAmelCase   (		self       :		Dict   )			->						str:

         """simple docstring"""
         lowerCAmelCase__      :			Dict   =	list(self.get_tokenizer().get_vocab().keys()   )

         self.assertEqual(vocab_keys[0]   ,     """<s>"""   )
         self.assertEqual(vocab_keys[1]   ,     """<pad>"""   )
         self.assertEqual(len(snake_case__   )   ,     10_08   )






   def 	_lowerCAmelCase   (		self       :		List[Any]   )			->						Dict:

         """simple docstring"""
         self.assertEqual(self.get_tokenizer().vocab_size   ,     10_08   )






   def 	_lowerCAmelCase   (		self       :		int   )			->						int:

         """simple docstring"""
         lowerCAmelCase__      :			Any   =	XGLMTokenizer(snake_case__   ,     keep_accents=snake_case__   )

         lowerCAmelCase__      :			Union[str, Any]   =	tokenizer.tokenize("""This is a test"""   )
         self.assertListEqual(snake_case__   ,     ["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]   )

         self.assertListEqual(
             tokenizer.convert_tokens_to_ids(snake_case__   )   ,     [value + tokenizer.fairseq_offset for value in [2_85, 46, 10, 1_70, 3_82]]   ,     )

         lowerCAmelCase__      :			int   =	tokenizer.tokenize("""I was born in 92000, and this is falsé."""   )
         self.assertListEqual(
             snake_case__   ,     [
                 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__      :			List[str]   =	tokenizer.convert_tokens_to_ids(snake_case__   )
         self.assertListEqual(
             snake_case__   ,     [
                 value + tokenizer.fairseq_offset
                 for value in [8, 21, 84, 55, 24, 19, 7, 2, 6_02, 3_47, 3_47, 3_47, 3, 12, 66, 46, 72, 80, 6, 2, 4]
             ]   ,     )

         lowerCAmelCase__      :			Tuple   =	tokenizer.convert_ids_to_tokens(snake_case__   )
         self.assertListEqual(
             snake_case__   ,     [
                 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       :		List[Any]   )			->						int:

         """simple docstring"""
         return XGLMTokenizer.from_pretrained("""facebook/xglm-564M"""   )






   def 	_lowerCAmelCase   (		self       :		Any   )			->						Any:

         """simple docstring"""

         with tempfile.NamedTemporaryFile() as f:
               shutil.copyfile(snake_case__   ,     f.name   )
               lowerCAmelCase__      :			int   =	XGLMTokenizer(f.name   ,     keep_accents=snake_case__   )
               lowerCAmelCase__      :			Any   =	pickle.dumps(snake_case__   )
         pickle.loads(snake_case__   )






   def 	_lowerCAmelCase   (		self       :		int   )			->						int:

         """simple docstring"""

         if not self.test_rust_tokenizer:
               return

         lowerCAmelCase__      :			List[str]   =	self.get_tokenizer()
         lowerCAmelCase__      :			Any   =	self.get_rust_tokenizer()

         lowerCAmelCase__      :			Tuple   =	'I was born in 92000, and this is falsé.'

         lowerCAmelCase__      :			List[Any]   =	tokenizer.tokenize(snake_case__   )
         lowerCAmelCase__      :			Dict   =	rust_tokenizer.tokenize(snake_case__   )
         self.assertListEqual(snake_case__   ,     snake_case__   )

         lowerCAmelCase__      :			Union[str, Any]   =	tokenizer.encode(snake_case__   ,     add_special_tokens=snake_case__   )
         lowerCAmelCase__      :			Union[str, Any]   =	rust_tokenizer.encode(snake_case__   ,     add_special_tokens=snake_case__   )
         self.assertListEqual(snake_case__   ,     snake_case__   )

         lowerCAmelCase__      :			List[str]   =	self.get_rust_tokenizer()
         lowerCAmelCase__      :			int   =	tokenizer.encode(snake_case__   )
         lowerCAmelCase__      :			List[Any]   =	rust_tokenizer.encode(snake_case__   )
         self.assertListEqual(snake_case__   ,     snake_case__   )






   @slow
   def 	_lowerCAmelCase   (		self       :		int   )			->						str:

         """simple docstring"""
         lowerCAmelCase__      :			Optional[int]   =	'Hello World!'
         lowerCAmelCase__      :			Optional[Any]   =	[2, 3_12_27, 44_47, 35]

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






   @slow
   def 	_lowerCAmelCase   (		self       :		List[Any]   )			->						Union[str, Any]:

         """simple docstring"""
         lowerCAmelCase__      :			Union[str, Any]   =	(
             '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'
         )
         # fmt: off
         lowerCAmelCase__      :			int   =	[2, 10_18, 67, 11, 19_88, 26_17, 56_31, 2_78, 11, 34_07, 48, 7_16_30, 2_80_85, 4, 32_34, 1_57, 13, 6, 5, 6, 4, 35_26, 7_68, 15, 6_59, 57, 2_98, 39_83, 8_64, 1_29, 21, 6, 5, 1_36_75, 3_77, 6_52, 75_80, 1_03_41, 1_55, 28_17, 4_22, 16_66, 7, 16_74, 53, 1_13, 20_22_77, 1_78_92, 33, 60, 87, 4, 32_34, 1_57, 61, 26_67, 5_23_76, 19, 88, 23, 7_35]
         # fmt: on

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






   @slow
   def 	_lowerCAmelCase   (		self       :		int   )			->						List[Any]:

         """simple docstring"""
         lowerCAmelCase__      :			List[str]   =	{
             'input_ids': [[2, 10_88_25, 11_63, 15, 8_80_10, 4_73, 1_58_98, 1_57, 1_36_72, 18_57, 3_12, 8, 23_80_21, 11_63, 53, 1_36_72, 18_57, 3_12, 8, 5_32_83, 18_23_96, 8, 1_85_66, 16, 3_67_33, 41_01, 8, 2_30, 24_40_17, 12_25_53, 7, 15, 13_25_97, 4, 2_93, 1_25_11, 76_10, 4, 34_14, 13_25_97, 9, 4, 3_23_61, 3_62, 4, 7_34, 2_85_12, 3_25_69, 18, 4, 3_23_61, 2_60_96, 1_49_82, 73, 1_87_15, 2_14_33, 23_52_61, 15, 4_92, 1_24_27, 16, 53, 1_87_15, 2_14_33, 6_54_54, 15, 2_36_59, 5_63, 16, 2_78, 5_97, 28_43, 5_95, 79_31, 18_23_96, 6_41_86, 22, 8_86, 5_95, 13_29_81, 53, 2_55_40, 34_49, 4_39_82, 3_99_01, 59_51, 8_78, 3_30, 4, 2_76_94, 8_02_69, 3_12, 53, 65_17, 1_17_80, 6_11, 2_04_08, 5], [2, 6, 13_25_97, 67, 4_28_97, 33, 5_92, 8, 16_37_29, 2_55_40, 3_61, 13_69_97, 10_95_14, 17_32_30, 7, 5_01, 60, 10_29_13, 1_96, 56_31, 2_35, 6_32_43, 4_73, 6, 23_17_57, 74, 52_77, 79_05, 53, 30_95, 3_73_17, 22, 4_54, 18_38_74, 5], [2, 2_68, 3_12_98, 4_65_30, 6, 13_29_35, 4_38_31, 7, 5_97, 32, 24, 36_88, 98_65, 5]],
             '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, 1, 1, 1, 1, 1]]
         }  # noqa: E501
         # fmt: on

         self.tokenizer_integration_test_util(
             expected_encoding=snake_case__   ,     model_name="""facebook/xglm-564M"""   ,     padding=snake_case__   ,     )











"""simple docstring"""


import logging
import os
from typing import List, TextIO, Union

from conllu import parse_incr
from utils_ner import InputExample, Split, TokenClassificationTask


_A													=      logging.getLogger(__name__)


class _lowerCamelCase    (					a_						):






   def __init__(		self       :		List[Any]   ,     UpperCamelCase       :		Dict=-1   )			->						List[Any]:

         """simple docstring"""
         # in NER datasets, the last column is usually reserved for NER label
         lowerCAmelCase__      :			Optional[int]   =	label_idx






   def 	_lowerCAmelCase   (		self       :		Optional[int]   ,     UpperCamelCase       :		Optional[int]   ,     UpperCamelCase       :		Union[Split, str]   )			->						List[InputExample]:

         """simple docstring"""
         if isinstance(UpperCamelCase   ,     UpperCamelCase   ):
               lowerCAmelCase__      :			int   =	mode.value
         lowerCAmelCase__      :			Dict   =	os.path.join(UpperCamelCase   ,     f"""{mode}.txt"""   )
         lowerCAmelCase__      :			str   =	1
         lowerCAmelCase__      :			List[Any]   =	[]
         with open(UpperCamelCase   ,     encoding="""utf-8"""   ) as f:
               lowerCAmelCase__      :			str   =	[]
               lowerCAmelCase__      :			Any   =	[]
               for line in f:
                     if line.startswith("""-DOCSTART-"""   ) or line == "" or line == "\n":
                           if words:
                                 examples.append(InputExample(guid=f"""{mode}-{guid_index}"""   ,     words=UpperCamelCase   ,     labels=UpperCamelCase   )   )
                                 guid_index += 1
                                 lowerCAmelCase__      :			Optional[Any]   =	[]
                                 lowerCAmelCase__      :			Tuple   =	[]
                     else:
                           lowerCAmelCase__      :			Optional[int]   =	line.split(""" """   )
                           words.append(splits[0]   )
                           if len(UpperCamelCase   ) > 1:
                                 labels.append(splits[self.label_idx].replace("""\n"""   ,     """"""   )   )
                           else:
                                 # Examples could have no label for mode = "test"
                                 labels.append("""O"""   )
               if words:
                     examples.append(InputExample(guid=f"""{mode}-{guid_index}"""   ,     words=UpperCamelCase   ,     labels=UpperCamelCase   )   )
         return examples






   def 	_lowerCAmelCase   (		self       :		Any   ,     UpperCamelCase       :		TextIO   ,     UpperCamelCase       :		TextIO   ,     UpperCamelCase       :		List   )			->						List[Any]:

         """simple docstring"""
         lowerCAmelCase__      :			Dict   =	0
         for line in test_input_reader:
               if line.startswith("""-DOCSTART-"""   ) or line == "" or line == "\n":
                     writer.write(UpperCamelCase   )
                     if not preds_list[example_id]:
                           example_id += 1
               elif preds_list[example_id]:
                     lowerCAmelCase__      :			Union[str, Any]   =	line.split()[0] + """ """ + preds_list[example_id].pop(0   ) + """\n"""
                     writer.write(UpperCamelCase   )
               else:
                     logger.warning("""Maximum sequence length exceeded: No prediction for '%s'."""   ,     line.split()[0]   )






   def 	_lowerCAmelCase   (		self       :		str   ,     UpperCamelCase       :		str   )			->						List[str]:

         """simple docstring"""
         if path:
               with open(UpperCamelCase   ,     """r"""   ) as f:
                     lowerCAmelCase__      :			Any   =	f.read().splitlines()
               if "O" not in labels:
                     lowerCAmelCase__      :			List[str]   =	["""O"""] + labels
               return labels
         else:
               return ["O", "B-MISC", "I-MISC", "B-PER", "I-PER", "B-ORG", "I-ORG", "B-LOC", "I-LOC"]






class _lowerCamelCase    (					a_						):






   def __init__(		self       :		Union[str, Any]   )			->						Any:

         """simple docstring"""
         # in CONLL2003 dataset chunk column is second-to-last
         super().__init__(label_idx=-2   )






   def 	_lowerCAmelCase   (		self       :		Optional[Any]   ,     UpperCamelCase       :		str   )			->						List[str]:

         """simple docstring"""
         if path:
               with open(UpperCamelCase   ,     """r"""   ) as f:
                     lowerCAmelCase__      :			Any   =	f.read().splitlines()
               if "O" not in labels:
                     lowerCAmelCase__      :			str   =	["""O"""] + labels
               return labels
         else:
               return [
                   "O",
                   "B-ADVP",
                   "B-INTJ",
                   "B-LST",
                   "B-PRT",
                   "B-NP",
                   "B-SBAR",
                   "B-VP",
                   "B-ADJP",
                   "B-CONJP",
                   "B-PP",
                   "I-ADVP",
                   "I-INTJ",
                   "I-LST",
                   "I-PRT",
                   "I-NP",
                   "I-SBAR",
                   "I-VP",
                   "I-ADJP",
                   "I-CONJP",
                   "I-PP",
               ]






class _lowerCamelCase    (					a_						):






   def 	_lowerCAmelCase   (		self       :		Union[str, Any]   ,     UpperCamelCase       :		Any   ,     UpperCamelCase       :		Union[Split, str]   )			->						List[InputExample]:

         """simple docstring"""
         if isinstance(UpperCamelCase   ,     UpperCamelCase   ):
               lowerCAmelCase__      :			Optional[Any]   =	mode.value
         lowerCAmelCase__      :			int   =	os.path.join(UpperCamelCase   ,     f"""{mode}.txt"""   )
         lowerCAmelCase__      :			Optional[int]   =	1
         lowerCAmelCase__      :			List[Any]   =	[]

         with open(UpperCamelCase   ,     encoding="""utf-8"""   ) as f:
               for sentence in parse_incr(UpperCamelCase   ):
                     lowerCAmelCase__      :			Union[str, Any]   =	[]
                     lowerCAmelCase__      :			List[Any]   =	[]
                     for token in sentence:
                           words.append(token["""form"""]   )
                           labels.append(token["""upos"""]   )
                     assert len(UpperCamelCase   ) == len(UpperCamelCase   )
                     if words:
                           examples.append(InputExample(guid=f"""{mode}-{guid_index}"""   ,     words=UpperCamelCase   ,     labels=UpperCamelCase   )   )
                           guid_index += 1
         return examples






   def 	_lowerCAmelCase   (		self       :		List[str]   ,     UpperCamelCase       :		TextIO   ,     UpperCamelCase       :		TextIO   ,     UpperCamelCase       :		List   )			->						List[Any]:

         """simple docstring"""
         lowerCAmelCase__      :			Any   =	0
         for sentence in parse_incr(UpperCamelCase   ):
               lowerCAmelCase__      :			Union[str, Any]   =	preds_list[example_id]
               lowerCAmelCase__      :			List[Any]   =	""""""
               for token in sentence:
                     out += f"""{token['form']} ({token['upos']}|{s_p.pop(0   )}) """
               out += "\n"
               writer.write(UpperCamelCase   )
               example_id += 1






   def 	_lowerCAmelCase   (		self       :		Dict   ,     UpperCamelCase       :		str   )			->						List[str]:

         """simple docstring"""
         if path:
               with open(UpperCamelCase   ,     """r"""   ) as f:
                     return f.read().splitlines()
         else:
               return [
                   "ADJ",
                   "ADP",
                   "ADV",
                   "AUX",
                   "CCONJ",
                   "DET",
                   "INTJ",
                   "NOUN",
                   "NUM",
                   "PART",
                   "PRON",
                   "PROPN",
                   "PUNCT",
                   "SCONJ",
                   "SYM",
                   "VERB",
                   "X",
               ]





