



'''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				:    Any     						=				logging.getLogger(__name__)



class 		lowerCamelCase__      (						A     ):




					'''simple docstring'''



					def __init__(  self				:	int     ,  UpperCamelCase_				:	Tuple=-1					)  ->       Optional[int]:



						'''simple docstring'''





						_lowercase					:       int       =		label_idx




					def 						__UpperCAmelCase     (  self				:	Dict     ,  UpperCamelCase_				:	Optional[Any]     ,  UpperCamelCase_				:	str					)  ->       List[InputExample]:



						'''simple docstring'''





						if isinstance(__a     ,  __a					):
							_lowercase					:       List[Any]       =		mode.value
						_lowercase					:       Dict       =		os.path.join(__a     ,  F'''{mode}.txt'''					)
						_lowercase					:       Union[str, Any]       =		1
						_lowercase					:       Optional[Any]       =		[]
						with open(__a     ,  encoding='utf-8'					) as f:
							_lowercase					:       str       =		[]
							_lowercase					:       int       =		[]
							for line in f:
								if line.startswith('-DOCSTART-'					) or line == "" or line == "\n":
									if words:
										examples.append(InputExample(guid=F'''{mode}-{guid_index}'''     ,  words=__a     ,  labels=__a					)					)
										guid_index += 1
										_lowercase					:       Union[str, Any]       =		[]
										_lowercase					:       Any       =		[]
								else:
									_lowercase					:       str       =		line.split(' '					)
									words.append(splits[0]					)
									if len(__a					) > 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=__a     ,  labels=__a					)					)
						return examples




					def 						__UpperCAmelCase     (  self				:	Dict     ,  UpperCamelCase_				:	int     ,  UpperCamelCase_				:	Tuple     ,  UpperCamelCase_				:	List[Any]					)  ->       List[str]:



						'''simple docstring'''





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




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



						'''simple docstring'''





						if path:
							with open(__a     ,  'r'					) as f:
								_lowercase					:       Any       =		f.read().splitlines()
							if "O" not in labels:
								_lowercase					:       Any       =		['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     ):




					'''simple docstring'''



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



						'''simple docstring'''





						super().__init__(label_idx=-2					)




					def 						__UpperCAmelCase     (  self				:	List[str]     ,  UpperCamelCase_				:	str					)  ->       List[str]:



						'''simple docstring'''





						if path:
							with open(__a     ,  'r'					) as f:
								_lowercase					:       Optional[int]       =		f.read().splitlines()
							if "O" not in labels:
								_lowercase					:       Any       =		['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     ):




					'''simple docstring'''



					def 						__UpperCAmelCase     (  self				:	Tuple     ,  UpperCamelCase_				:	int     ,  UpperCamelCase_				:	str					)  ->       List[InputExample]:



						'''simple docstring'''





						if isinstance(__a     ,  __a					):
							_lowercase					:       int       =		mode.value
						_lowercase					:       List[Any]       =		os.path.join(__a     ,  F'''{mode}.txt'''					)
						_lowercase					:       Optional[int]       =		1
						_lowercase					:       Tuple       =		[]

						with open(__a     ,  encoding='utf-8'					) as f:
							for sentence in parse_incr(__a					):
								_lowercase					:       Optional[Any]       =		[]
								_lowercase					:       Any       =		[]
								for token in sentence:
									words.append(token['form']					)
									labels.append(token['upos']					)
								assert len(__a					) == len(__a					)
								if words:
									examples.append(InputExample(guid=F'''{mode}-{guid_index}'''     ,  words=__a     ,  labels=__a					)					)
									guid_index += 1
						return examples




					def 						__UpperCAmelCase     (  self				:	Tuple     ,  UpperCamelCase_				:	Optional[int]     ,  UpperCamelCase_				:	List[Any]     ,  UpperCamelCase_				:	List[str]					)  ->       Union[str, Any]:



						'''simple docstring'''





						_lowercase					:       Optional[int]       =		0
						for sentence in parse_incr(__a					):
							_lowercase					:       Optional[int]       =		preds_list[example_id]
							_lowercase					:       Union[str, Any]       =		''
							for token in sentence:
								out += F'''{token["form"]} ({token["upos"]}|{s_p.pop(0					)}) '''
							out += "\n"
							writer.write(__a					)
							example_id += 1




					def 						__UpperCAmelCase     (  self				:	Optional[int]     ,  UpperCamelCase_				:	List[str]					)  ->       List[str]:



						'''simple docstring'''





						if path:
							with open(__a     ,  '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",
							]





'''simple docstring'''

import unittest

from transformers import AutoTokenizer, is_flax_available
from transformers.testing_utils import require_flax, require_sentencepiece, require_tokenizers, slow


if is_flax_available():
		import jax.numpy as jnp

		from transformers import FlaxXLMRobertaModel



@require_sentencepiece
@require_tokenizers
@require_flax
class 		lowerCamelCase__      (						unittest.TestCase     ):




					'''simple docstring'''



					@slow
					def 						__UpperCAmelCase     (  self				:	int					)  ->       Union[str, Any]:



						'''simple docstring'''





						_lowercase					:       List[Any]       =		FlaxXLMRobertaModel.from_pretrained('xlm-roberta-base'					)
						_lowercase					:       str       =		AutoTokenizer.from_pretrained('xlm-roberta-base'					)
						_lowercase					:       List[Any]       =		'The dog is cute and lives in the garden house'
						_lowercase					:       Optional[int]       =		jnp.array([tokenizer.encode(UpperCamelCase_					)]					)

						_lowercase					:       int       =		(1, 12, 768)  # batch_size, sequence_length, embedding_vector_dim
						_lowercase					:       Tuple       =		jnp.array(
						    [[-0.01_01, 0.12_18, -0.08_03, 0.08_01, 0.13_27, 0.07_76, -0.12_15, 0.23_83, 0.33_38, 0.31_06, 0.03_00, 0.02_52]]					)

						_lowercase					:       List[str]       =		model(UpperCamelCase_					)['last_hidden_state']
						self.assertEqual(output.shape     ,  UpperCamelCase_					)
						# compare the actual values for a slice of last dim
						self.assertTrue(jnp.allclose(output[:, :, -1]     ,  UpperCamelCase_     ,  atol=1E-3					)					)
