



"""simple docstring"""

import gc
import unittest

from transformers import MODEL_FOR_MASKED_LM_MAPPING, TF_MODEL_FOR_MASKED_LM_MAPPING, FillMaskPipeline, pipeline
from transformers.pipelines import PipelineException
from transformers.testing_utils import (
    is_pipeline_test,
    is_torch_available,
    nested_simplify,
    require_tf,
    require_torch,
    require_torch_gpu,
    slow,
)

from .test_pipelines_common import ANY







@is_pipeline_test
class    __lowercase     (					unittest.TestCase):







						"""simple docstring"""







						_A		:							int							       =		MODEL_FOR_MASKED_LM_MAPPING
						_A		:							Dict							       =		TF_MODEL_FOR_MASKED_LM_MAPPING







						def 						__UpperCamelCase							(self       ):
											super().tearDown()
											# clean-up as much as possible GPU memory occupied by PyTorch
											gc.collect()
											if is_torch_available():
																import torch

																torch.cuda.empty_cache()







						@require_tf
						def 						__UpperCamelCase							(self       ):
											snake_case_					:		int 					=					pipeline(task="""fill-mask"""   ,		model="""sshleifer/tiny-distilroberta-base"""   ,		top_k=2   ,		framework="""tf"""       )
											snake_case_					:		Dict 					=					unmasker("""My name is <mask>"""       )
											self.assertEqual(
											    nested_simplify(lowercase__   ,		decimals=6       )   ,		[
											        {"""sequence""": """My name is grouped""", """score""": 2.1e-05, """token""": 3_80_15, """token_str""": """ grouped"""},
											        {"""sequence""": """My name is accuser""", """score""": 2.1e-05, """token""": 2_55_06, """token_str""": """ accuser"""},
											    ]   ,		)

											snake_case_					:		Any 					=					unmasker("""The largest city in France is <mask>"""       )
											self.assertEqual(
											    nested_simplify(lowercase__   ,		decimals=6       )   ,		[
											        {
											            """sequence""": """The largest city in France is grouped""",
											            """score""": 2.1e-05,
											            """token""": 3_80_15,
											            """token_str""": """ grouped""",
											        },
											        {
											            """sequence""": """The largest city in France is accuser""",
											            """score""": 2.1e-05,
											            """token""": 2_55_06,
											            """token_str""": """ accuser""",
											        },
											    ]   ,		)

											snake_case_					:		List[Any] 					=					unmasker("""My name is <mask>"""   ,		targets=[""" Patrick""", """ Clara""", """ Teven"""]   ,		top_k=3       )
											self.assertEqual(
											    nested_simplify(lowercase__   ,		decimals=6       )   ,		[
											        {"""sequence""": """My name is Clara""", """score""": 2e-05, """token""": 1_36_06, """token_str""": """ Clara"""},
											        {"""sequence""": """My name is Patrick""", """score""": 2e-05, """token""": 34_99, """token_str""": """ Patrick"""},
											        {"""sequence""": """My name is Te""", """score""": 1.9e-05, """token""": 29_41, """token_str""": """ Te"""},
											    ]   ,		)







						@require_torch
						def 						__UpperCamelCase							(self       ):
											snake_case_					:		int 					=					pipeline(task="""fill-mask"""   ,		model="""sshleifer/tiny-distilroberta-base"""   ,		top_k=2   ,		framework="""pt"""       )

											snake_case_					:		str 					=					unmasker("""My name is <mask>"""       )
											self.assertEqual(
											    nested_simplify(lowercase__   ,		decimals=6       )   ,		[
											        {"""sequence""": """My name is Maul""", """score""": 2.2e-05, """token""": 3_56_76, """token_str""": """ Maul"""},
											        {"""sequence""": """My name isELS""", """score""": 2.2e-05, """token""": 1_64_16, """token_str""": """ELS"""},
											    ]   ,		)

											snake_case_					:		str 					=					unmasker("""The largest city in France is <mask>"""       )
											self.assertEqual(
											    nested_simplify(lowercase__   ,		decimals=6       )   ,		[
											        {
											            """sequence""": """The largest city in France is Maul""",
											            """score""": 2.2e-05,
											            """token""": 3_56_76,
											            """token_str""": """ Maul""",
											        },
											        {"""sequence""": """The largest city in France isELS""", """score""": 2.2e-05, """token""": 1_64_16, """token_str""": """ELS"""},
											    ]   ,		)

											snake_case_					:		Any 					=					unmasker("""My name is <mask>"""   ,		targets=[""" Patrick""", """ Clara""", """ Teven"""]   ,		top_k=3       )
											self.assertEqual(
											    nested_simplify(lowercase__   ,		decimals=6       )   ,		[
											        {"""sequence""": """My name is Patrick""", """score""": 2.1e-05, """token""": 34_99, """token_str""": """ Patrick"""},
											        {"""sequence""": """My name is Te""", """score""": 2e-05, """token""": 29_41, """token_str""": """ Te"""},
											        {"""sequence""": """My name is Clara""", """score""": 2e-05, """token""": 1_36_06, """token_str""": """ Clara"""},
											    ]   ,		)

											snake_case_					:		str 					=					unmasker("""My name is <mask> <mask>"""   ,		top_k=2       )

											self.assertEqual(
											    nested_simplify(lowercase__   ,		decimals=6       )   ,		[
											        [
											            {
											                """score""": 2.2e-05,
											                """token""": 3_56_76,
											                """token_str""": """ Maul""",
											                """sequence""": """<s>My name is Maul<mask></s>""",
											            },
											            {"""score""": 2.2e-05, """token""": 1_64_16, """token_str""": """ELS""", """sequence""": """<s>My name isELS<mask></s>"""},
											        ],
											        [
											            {
											                """score""": 2.2e-05,
											                """token""": 3_56_76,
											                """token_str""": """ Maul""",
											                """sequence""": """<s>My name is<mask> Maul</s>""",
											            },
											            {"""score""": 2.2e-05, """token""": 1_64_16, """token_str""": """ELS""", """sequence""": """<s>My name is<mask>ELS</s>"""},
											        ],
											    ]   ,		)







						@require_torch_gpu
						def 						__UpperCamelCase							(self       ):
											snake_case_					:		List[Any] 					=					pipeline("""fill-mask"""   ,		model="""hf-internal-testing/tiny-random-distilbert"""   ,		device=0   ,		framework="""pt"""       )

											# convert model to fp16
											pipe.model.half()

											snake_case_					:		Any 					=					pipe("""Paris is the [MASK] of France."""       )
											# We actually don't care about the result, we just want to make sure
											# it works, meaning the float16 tensor got casted back to float32
											# for postprocessing.
											self.assertIsInstance(lowercase__   ,		lowercase__       )







						@slow
						@require_torch
						def 						__UpperCamelCase							(self       ):
											snake_case_					:		Tuple 					=					pipeline(task="""fill-mask"""   ,		model="""distilroberta-base"""   ,		top_k=2   ,		framework="""pt"""       )
											self.run_large_test(lowercase__       )







						@slow
						@require_tf
						def 						__UpperCamelCase							(self       ):
											snake_case_					:		List[Any] 					=					pipeline(task="""fill-mask"""   ,		model="""distilroberta-base"""   ,		top_k=2   ,		framework="""tf"""       )
											self.run_large_test(lowercase__       )







						def 						__UpperCamelCase							(self   ,		lowercase__       ):
											snake_case_					:		Dict 					=					unmasker("""My name is <mask>"""       )
											self.assertEqual(
											    nested_simplify(lowercase__       )   ,		[
											        {"""sequence""": """My name is John""", """score""": 0.008, """token""": 6_10, """token_str""": """ John"""},
											        {"""sequence""": """My name is Chris""", """score""": 0.007, """token""": 15_73, """token_str""": """ Chris"""},
											    ]   ,		)
											snake_case_					:		Optional[int] 					=					unmasker("""The largest city in France is <mask>"""       )
											self.assertEqual(
											    nested_simplify(lowercase__       )   ,		[
											        {
											            """sequence""": """The largest city in France is Paris""",
											            """score""": 0.251,
											            """token""": 22_01,
											            """token_str""": """ Paris""",
											        },
											        {
											            """sequence""": """The largest city in France is Lyon""",
											            """score""": 0.214,
											            """token""": 1_27_90,
											            """token_str""": """ Lyon""",
											        },
											    ]   ,		)

											snake_case_					:		Dict 					=					unmasker("""My name is <mask>"""   ,		targets=[""" Patrick""", """ Clara""", """ Teven"""]   ,		top_k=3       )
											self.assertEqual(
											    nested_simplify(lowercase__       )   ,		[
											        {"""sequence""": """My name is Patrick""", """score""": 0.005, """token""": 34_99, """token_str""": """ Patrick"""},
											        {"""sequence""": """My name is Clara""", """score""": 0.000, """token""": 1_36_06, """token_str""": """ Clara"""},
											        {"""sequence""": """My name is Te""", """score""": 0.000, """token""": 29_41, """token_str""": """ Te"""},
											    ]   ,		)







						@require_torch
						def 						__UpperCamelCase							(self       ):
											snake_case_					:		Tuple 					=					pipeline(task="""fill-mask"""   ,		model="""sshleifer/tiny-distilroberta-base"""   ,		framework="""pt"""       )
											snake_case_					:		Optional[Any] 					=					None
											snake_case_					:		Optional[Any] 					=					None
											self.run_pipeline_test(lowercase__   ,		[]       )







						@require_tf
						def 						__UpperCamelCase							(self       ):
											snake_case_					:		List[str] 					=					pipeline(task="""fill-mask"""   ,		model="""sshleifer/tiny-distilroberta-base"""   ,		framework="""tf"""       )
											snake_case_					:		str 					=					None
											snake_case_					:		str 					=					None
											self.run_pipeline_test(lowercase__   ,		[]       )







						def 						__UpperCamelCase							(self   ,		lowercase__   ,		lowercase__   ,		lowercase__       ):
											if tokenizer is None or tokenizer.mask_token_id is None:
																self.skipTest("""The provided tokenizer has no mask token, (probably reformer or wav2vec2)"""       )

											snake_case_					:		Dict 					=					FillMaskPipeline(model=lowercase__   ,		tokenizer=lowercase__       )
											snake_case_					:		Tuple 					=					[
											    f'This is another {tokenizer.mask_token} test',
											]
											return fill_masker, examples







						def 						__UpperCamelCase							(self   ,		lowercase__   ,		lowercase__       ):
											snake_case_					:		Optional[int] 					=					fill_masker.tokenizer
											snake_case_					:		Optional[int] 					=					fill_masker.model

											snake_case_					:		Any 					=					fill_masker(
											    f'This is a {tokenizer.mask_token}'   ,		)
											self.assertEqual(
											    lowercase__   ,		[
											        {"""sequence""": ANY(lowercase__       ), """score""": ANY(lowercase__       ), """token""": ANY(lowercase__       ), """token_str""": ANY(lowercase__       )},
											        {"""sequence""": ANY(lowercase__       ), """score""": ANY(lowercase__       ), """token""": ANY(lowercase__       ), """token_str""": ANY(lowercase__       )},
											        {"""sequence""": ANY(lowercase__       ), """score""": ANY(lowercase__       ), """token""": ANY(lowercase__       ), """token_str""": ANY(lowercase__       )},
											        {"""sequence""": ANY(lowercase__       ), """score""": ANY(lowercase__       ), """token""": ANY(lowercase__       ), """token_str""": ANY(lowercase__       )},
											        {"""sequence""": ANY(lowercase__       ), """score""": ANY(lowercase__       ), """token""": ANY(lowercase__       ), """token_str""": ANY(lowercase__       )},
											    ]   ,		)

											snake_case_					:		Union[str, Any] 					=					fill_masker([f'This is a {tokenizer.mask_token}']       )
											self.assertEqual(
											    lowercase__   ,		[
											        {"""sequence""": ANY(lowercase__       ), """score""": ANY(lowercase__       ), """token""": ANY(lowercase__       ), """token_str""": ANY(lowercase__       )},
											        {"""sequence""": ANY(lowercase__       ), """score""": ANY(lowercase__       ), """token""": ANY(lowercase__       ), """token_str""": ANY(lowercase__       )},
											        {"""sequence""": ANY(lowercase__       ), """score""": ANY(lowercase__       ), """token""": ANY(lowercase__       ), """token_str""": ANY(lowercase__       )},
											        {"""sequence""": ANY(lowercase__       ), """score""": ANY(lowercase__       ), """token""": ANY(lowercase__       ), """token_str""": ANY(lowercase__       )},
											        {"""sequence""": ANY(lowercase__       ), """score""": ANY(lowercase__       ), """token""": ANY(lowercase__       ), """token_str""": ANY(lowercase__       )},
											    ]   ,		)

											snake_case_					:		List[Any] 					=					fill_masker([f'This is a {tokenizer.mask_token}', f'Another {tokenizer.mask_token} great test.']       )
											self.assertEqual(
											    lowercase__   ,		[
											        [
											            {"""sequence""": ANY(lowercase__       ), """score""": ANY(lowercase__       ), """token""": ANY(lowercase__       ), """token_str""": ANY(lowercase__       )},
											            {"""sequence""": ANY(lowercase__       ), """score""": ANY(lowercase__       ), """token""": ANY(lowercase__       ), """token_str""": ANY(lowercase__       )},
											            {"""sequence""": ANY(lowercase__       ), """score""": ANY(lowercase__       ), """token""": ANY(lowercase__       ), """token_str""": ANY(lowercase__       )},
											            {"""sequence""": ANY(lowercase__       ), """score""": ANY(lowercase__       ), """token""": ANY(lowercase__       ), """token_str""": ANY(lowercase__       )},
											            {"""sequence""": ANY(lowercase__       ), """score""": ANY(lowercase__       ), """token""": ANY(lowercase__       ), """token_str""": ANY(lowercase__       )},
											        ],
											        [
											            {"""sequence""": ANY(lowercase__       ), """score""": ANY(lowercase__       ), """token""": ANY(lowercase__       ), """token_str""": ANY(lowercase__       )},
											            {"""sequence""": ANY(lowercase__       ), """score""": ANY(lowercase__       ), """token""": ANY(lowercase__       ), """token_str""": ANY(lowercase__       )},
											            {"""sequence""": ANY(lowercase__       ), """score""": ANY(lowercase__       ), """token""": ANY(lowercase__       ), """token_str""": ANY(lowercase__       )},
											            {"""sequence""": ANY(lowercase__       ), """score""": ANY(lowercase__       ), """token""": ANY(lowercase__       ), """token_str""": ANY(lowercase__       )},
											            {"""sequence""": ANY(lowercase__       ), """score""": ANY(lowercase__       ), """token""": ANY(lowercase__       ), """token_str""": ANY(lowercase__       )},
											        ],
											    ]   ,		)

											with self.assertRaises(lowercase__       ):
																fill_masker([None]       )
											# No mask_token is not supported
											with self.assertRaises(lowercase__       ):
																fill_masker("""This is"""       )

											self.run_test_top_k(lowercase__   ,		lowercase__       )
											self.run_test_targets(lowercase__   ,		lowercase__       )
											self.run_test_top_k_targets(lowercase__   ,		lowercase__       )
											self.fill_mask_with_duplicate_targets_and_top_k(lowercase__   ,		lowercase__       )
											self.fill_mask_with_multiple_masks(lowercase__   ,		lowercase__       )







						def 						__UpperCamelCase							(self   ,		lowercase__   ,		lowercase__       ):
											snake_case_					:		Tuple 					=					tokenizer.get_vocab()
											snake_case_					:		Tuple 					=					sorted(vocab.keys()       )[:2]
											# Pipeline argument
											snake_case_					:		Union[str, Any] 					=					FillMaskPipeline(model=lowercase__   ,		tokenizer=lowercase__   ,		targets=lowercase__       )
											snake_case_					:		Any 					=					fill_masker(f'This is a {tokenizer.mask_token}'       )
											self.assertEqual(
											    lowercase__   ,		[
											        {"""sequence""": ANY(lowercase__       ), """score""": ANY(lowercase__       ), """token""": ANY(lowercase__       ), """token_str""": ANY(lowercase__       )},
											        {"""sequence""": ANY(lowercase__       ), """score""": ANY(lowercase__       ), """token""": ANY(lowercase__       ), """token_str""": ANY(lowercase__       )},
											    ]   ,		)
											snake_case_					:		str 					=					{vocab[el] for el in targets}
											self.assertEqual({el["""token"""] for el in outputs}   ,		lowercase__       )
											snake_case_					:		Union[str, Any] 					=					[tokenizer.decode([x]       ) for x in target_ids]
											self.assertEqual({el["""token_str"""] for el in outputs}   ,		set(lowercase__       )       )

											# Call argument
											snake_case_					:		Optional[Any] 					=					FillMaskPipeline(model=lowercase__   ,		tokenizer=lowercase__       )
											snake_case_					:		List[str] 					=					fill_masker(f'This is a {tokenizer.mask_token}'   ,		targets=lowercase__       )
											self.assertEqual(
											    lowercase__   ,		[
											        {"""sequence""": ANY(lowercase__       ), """score""": ANY(lowercase__       ), """token""": ANY(lowercase__       ), """token_str""": ANY(lowercase__       )},
											        {"""sequence""": ANY(lowercase__       ), """score""": ANY(lowercase__       ), """token""": ANY(lowercase__       ), """token_str""": ANY(lowercase__       )},
											    ]   ,		)
											snake_case_					:		Tuple 					=					{vocab[el] for el in targets}
											self.assertEqual({el["""token"""] for el in outputs}   ,		lowercase__       )
											snake_case_					:		Dict 					=					[tokenizer.decode([x]       ) for x in target_ids]
											self.assertEqual({el["""token_str"""] for el in outputs}   ,		set(lowercase__       )       )

											# Score equivalence
											snake_case_					:		List[Any] 					=					fill_masker(f'This is a {tokenizer.mask_token}'   ,		targets=lowercase__       )
											snake_case_					:		List[Any] 					=					[top_mask["""token_str"""] for top_mask in outputs]
											snake_case_					:		Dict 					=					[top_mask["""score"""] for top_mask in outputs]

											# For some BPE tokenizers, `</w>` is removed during decoding, so `token_str` won't be the same as in `targets`.
											if set(lowercase__       ) == set(lowercase__       ):
																snake_case_					:		Optional[Any] 					=					fill_masker(f'This is a {tokenizer.mask_token}'   ,		targets=lowercase__       )
																snake_case_					:		Tuple 					=					[top_mask["""score"""] for top_mask in unmasked_targets]
																self.assertEqual(nested_simplify(lowercase__       )   ,		nested_simplify(lowercase__       )       )

											# Raises with invalid
											with self.assertRaises(lowercase__       ):
																snake_case_					:		Optional[Any] 					=					fill_masker(f'This is a {tokenizer.mask_token}'   ,		targets=[]       )
											# For some tokenizers, `""` is actually in the vocabulary and the expected error won't raised
											if "" not in tokenizer.get_vocab():
																with self.assertRaises(lowercase__       ):
																					snake_case_					:		Union[str, Any] 					=					fill_masker(f'This is a {tokenizer.mask_token}'   ,		targets=[""""""]       )
																with self.assertRaises(lowercase__       ):
																					snake_case_					:		str 					=					fill_masker(f'This is a {tokenizer.mask_token}'   ,		targets=""""""       )







						def 						__UpperCamelCase							(self   ,		lowercase__   ,		lowercase__       ):
											snake_case_					:		List[str] 					=					FillMaskPipeline(model=lowercase__   ,		tokenizer=lowercase__   ,		top_k=2       )
											snake_case_					:		Optional[Any] 					=					fill_masker(f'This is a {tokenizer.mask_token}'       )
											self.assertEqual(
											    lowercase__   ,		[
											        {"""sequence""": ANY(lowercase__       ), """score""": ANY(lowercase__       ), """token""": ANY(lowercase__       ), """token_str""": ANY(lowercase__       )},
											        {"""sequence""": ANY(lowercase__       ), """score""": ANY(lowercase__       ), """token""": ANY(lowercase__       ), """token_str""": ANY(lowercase__       )},
											    ]   ,		)

											snake_case_					:		Optional[Any] 					=					FillMaskPipeline(model=lowercase__   ,		tokenizer=lowercase__       )
											snake_case_					:		Dict 					=					fill_masker(f'This is a {tokenizer.mask_token}'   ,		top_k=2       )
											self.assertEqual(
											    lowercase__   ,		[
											        {"""sequence""": ANY(lowercase__       ), """score""": ANY(lowercase__       ), """token""": ANY(lowercase__       ), """token_str""": ANY(lowercase__       )},
											        {"""sequence""": ANY(lowercase__       ), """score""": ANY(lowercase__       ), """token""": ANY(lowercase__       ), """token_str""": ANY(lowercase__       )},
											    ]   ,		)
											self.assertEqual(nested_simplify(lowercase__       )   ,		nested_simplify(lowercase__       )       )







						def 						__UpperCamelCase							(self   ,		lowercase__   ,		lowercase__       ):
											snake_case_					:		List[str] 					=					tokenizer.get_vocab()
											snake_case_					:		int 					=					FillMaskPipeline(model=lowercase__   ,		tokenizer=lowercase__       )

											# top_k=2, ntargets=3
											snake_case_					:		Optional[int] 					=					sorted(vocab.keys()       )[:3]
											snake_case_					:		Dict 					=					fill_masker(f'This is a {tokenizer.mask_token}'   ,		top_k=2   ,		targets=lowercase__       )

											# If we use the most probably targets, and filter differently, we should still
											# have the same results
											snake_case_					:		Any 					=					[el["""token_str"""] for el in sorted(lowercase__   ,		key=lambda lowercase__       : x["score"]   ,		reverse=lowercase__       )]
											# For some BPE tokenizers, `</w>` is removed during decoding, so `token_str` won't be the same as in `targets`.
											if set(lowercase__       ).issubset(lowercase__       ):
																snake_case_					:		Any 					=					fill_masker(f'This is a {tokenizer.mask_token}'   ,		top_k=3   ,		targets=lowercase__       )
																# They should yield exactly the same result
																self.assertEqual(nested_simplify(lowercase__       )   ,		nested_simplify(lowercase__       )       )







						def 						__UpperCamelCase							(self   ,		lowercase__   ,		lowercase__       ):
											snake_case_					:		List[str] 					=					FillMaskPipeline(model=lowercase__   ,		tokenizer=lowercase__       )
											snake_case_					:		Optional[Any] 					=					tokenizer.get_vocab()
											# String duplicates + id duplicates
											snake_case_					:		str 					=					sorted(vocab.keys()       )[:3]
											snake_case_					:		int 					=					[targets[0], targets[1], targets[0], targets[2], targets[1]]
											snake_case_					:		Any 					=					fill_masker(f'My name is {tokenizer.mask_token}'   ,		targets=lowercase__   ,		top_k=10       )

											# The target list contains duplicates, so we can't output more
											# than them
											self.assertEqual(len(lowercase__       )   ,		3       )







						def 						__UpperCamelCase							(self   ,		lowercase__   ,		lowercase__       ):
											snake_case_					:		List[Any] 					=					FillMaskPipeline(model=lowercase__   ,		tokenizer=lowercase__       )

											snake_case_					:		List[str] 					=					fill_masker(
											    f'This is a {tokenizer.mask_token} {tokenizer.mask_token} {tokenizer.mask_token}'   ,		top_k=2       )
											self.assertEqual(
											    lowercase__   ,		[
											        [
											            {"""sequence""": ANY(lowercase__       ), """score""": ANY(lowercase__       ), """token""": ANY(lowercase__       ), """token_str""": ANY(lowercase__       )},
											            {"""sequence""": ANY(lowercase__       ), """score""": ANY(lowercase__       ), """token""": ANY(lowercase__       ), """token_str""": ANY(lowercase__       )},
											        ],
											        [
											            {"""sequence""": ANY(lowercase__       ), """score""": ANY(lowercase__       ), """token""": ANY(lowercase__       ), """token_str""": ANY(lowercase__       )},
											            {"""sequence""": ANY(lowercase__       ), """score""": ANY(lowercase__       ), """token""": ANY(lowercase__       ), """token_str""": ANY(lowercase__       )},
											        ],
											        [
											            {"""sequence""": ANY(lowercase__       ), """score""": ANY(lowercase__       ), """token""": ANY(lowercase__       ), """token_str""": ANY(lowercase__       )},
											            {"""sequence""": ANY(lowercase__       ), """score""": ANY(lowercase__       ), """token""": ANY(lowercase__       ), """token_str""": ANY(lowercase__       )},
											        ],
											    ]   ,		)









"""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    __lowercase     (					_UpperCAmelCase):







						"""simple docstring"""







						def __init__(self   ,		lowercase__=-1       ):
											# in NER datasets, the last column is usually reserved for NER label
											snake_case_					:		Union[str, Any] 					=					label_idx







						def 						__UpperCamelCase							(self   ,		lowercase__   ,		lowercase__       ):
											if isinstance(lowercase__   ,		lowercase__       ):
																snake_case_					:		List[str] 					=					mode.value
											snake_case_					:		List[Any] 					=					os.path.join(lowercase__   ,		f'{mode}.txt'       )
											snake_case_					:		Tuple 					=					1
											snake_case_					:		Any 					=					[]
											with open(lowercase__   ,		encoding="""utf-8"""       ) as f:
																snake_case_					:		str 					=					[]
																snake_case_					:		List[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=lowercase__   ,		labels=lowercase__       )       )
																															guid_index += 1
																															snake_case_					:		Optional[Any] 					=					[]
																															snake_case_					:		int 					=					[]
																					else:
																										snake_case_					:		Optional[Any] 					=					line.split(""" """       )
																										words.append(splits[0]       )
																										if len(lowercase__       ) > 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=lowercase__   ,		labels=lowercase__       )       )
											return examples







						def 						__UpperCamelCase							(self   ,		lowercase__   ,		lowercase__   ,		lowercase__       ):
											snake_case_					:		str 					=					0
											for line in test_input_reader:
																if line.startswith("""-DOCSTART-"""       ) or line == "" or line == "\n":
																					writer.write(lowercase__       )
																					if not preds_list[example_id]:
																										example_id += 1
																elif preds_list[example_id]:
																					snake_case_					:		Optional[int] 					=					line.split()[0] + """ """ + preds_list[example_id].pop(0       ) + """\n"""
																					writer.write(lowercase__       )
																else:
																					logger.warning("""Maximum sequence length exceeded: No prediction for '%s'."""   ,		line.split()[0]       )







						def 						__UpperCamelCase							(self   ,		lowercase__       ):
											if path:
																with open(lowercase__   ,		"""r"""       ) as f:
																					snake_case_					:		Dict 					=					f.read().splitlines()
																if "O" not in labels:
																					snake_case_					:		List[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    __lowercase     (					_UpperCAmelCase):







						"""simple docstring"""







						def __init__(self       ):
											# in CONLL2003 dataset chunk column is second-to-last
											super().__init__(label_idx=-2       )







						def 						__UpperCamelCase							(self   ,		lowercase__       ):
											if path:
																with open(lowercase__   ,		"""r"""       ) as f:
																					snake_case_					:		Any 					=					f.read().splitlines()
																if "O" not in labels:
																					snake_case_					:		Tuple 					=					["""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    __lowercase     (					_UpperCAmelCase):







						"""simple docstring"""







						def 						__UpperCamelCase							(self   ,		lowercase__   ,		lowercase__       ):
											if isinstance(lowercase__   ,		lowercase__       ):
																snake_case_					:		List[Any] 					=					mode.value
											snake_case_					:		Optional[int] 					=					os.path.join(lowercase__   ,		f'{mode}.txt'       )
											snake_case_					:		Tuple 					=					1
											snake_case_					:		str 					=					[]

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







						def 						__UpperCamelCase							(self   ,		lowercase__   ,		lowercase__   ,		lowercase__       ):
											snake_case_					:		Dict 					=					0
											for sentence in parse_incr(lowercase__       ):
																snake_case_					:		int 					=					preds_list[example_id]
																snake_case_					:		Dict 					=					""""""
																for token in sentence:
																					out += f'{token["form"]} ({token["upos"]}|{s_p.pop(0       )}) '
																out += "\n"
																writer.write(lowercase__       )
																example_id += 1







						def 						__UpperCamelCase							(self   ,		lowercase__       ):
											if path:
																with open(lowercase__   ,		"""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",
																]




