




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

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


_UpperCAmelCase	:						Union[str, Any]			=     logging.getLogger(__name__)




class    __lowerCAmelCase       (							lowerCAmelCase):






       def __init__(   self:					Optional[Any]       ,					_lowerCAmelCase:					Optional[Any]=-1				):
         lowercase    :Union[str, Any]      	=						label_idx






       def 					SCREAMING_SNAKE_CASE    (   self:					Optional[Any]       ,					_lowerCAmelCase:					Tuple       ,					_lowerCAmelCase:					Any				):

         if isinstance(_lowerCAmelCase       ,					_lowerCAmelCase				):
           lowercase    :Optional[Any]      	=						mode.value
         lowercase    :Optional[Any]      	=						os.path.join(_lowerCAmelCase       ,					F"{mode}.txt"				)
         lowercase    :Dict      	=						1
         lowercase    :int      	=						[]
         with open(_lowerCAmelCase       ,					encoding="utf-8"				) as f:
           lowercase    :Tuple      	=						[]
           lowercase    :Optional[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=_lowerCAmelCase       ,					labels=_lowerCAmelCase				)				)
                 guid_index += 1
                 lowercase    :Any      	=						[]
                 lowercase    :Optional[int]      	=						[]
             else:
               lowercase    :int      	=						line.split(" "				)
               words.append(splits[0]				)
               if len(_lowerCAmelCase				) > 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=_lowerCAmelCase       ,					labels=_lowerCAmelCase				)				)
         return examples






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






       def 					SCREAMING_SNAKE_CASE    (   self:					Any       ,					_lowerCAmelCase:					Optional[Any]				):

         if path:
           with open(_lowerCAmelCase       ,					"r"				) as f:
             lowercase    :Dict      	=						f.read().splitlines()
           if "O" not in labels:
             lowercase    :Optional[int]      	=						["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       (							lowerCAmelCase):






       def __init__(   self:					Any				):
         super().__init__(label_idx=-2				)






       def 					SCREAMING_SNAKE_CASE    (   self:					Optional[Any]       ,					_lowerCAmelCase:					int				):

         if path:
           with open(_lowerCAmelCase       ,					"r"				) as f:
             lowercase    :int      	=						f.read().splitlines()
           if "O" not in labels:
             lowercase    :Optional[int]      	=						["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       (							lowerCAmelCase):






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

         if isinstance(_lowerCAmelCase       ,					_lowerCAmelCase				):
           lowercase    :Tuple      	=						mode.value
         lowercase    :int      	=						os.path.join(_lowerCAmelCase       ,					F"{mode}.txt"				)
         lowercase    :List[str]      	=						1
         lowercase    :Dict      	=						[]

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






       def 					SCREAMING_SNAKE_CASE    (   self:					Any       ,					_lowerCAmelCase:					Optional[Any]       ,					_lowerCAmelCase:					Optional[int]       ,					_lowerCAmelCase:					Dict				):
         lowercase    :str      	=						0
         for sentence in parse_incr(_lowerCAmelCase				):
           lowercase    :List[str]      	=						preds_list[example_id]
           lowercase    :Optional[Any]      	=						""
           for token in sentence:
             out += F"{token['form']} ({token['upos']}|{s_p.pop(0				)}) "
           out += "\n"
           writer.write(_lowerCAmelCase				)
           example_id += 1






       def 					SCREAMING_SNAKE_CASE    (   self:					Tuple       ,					_lowerCAmelCase:					str				):

         if path:
           with open(_lowerCAmelCase       ,					"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",
           ]






import inspect
import os
import unittest

import torch

import accelerate
from accelerate import debug_launcher
from accelerate.test_utils import (
    execute_subprocess_async,
    require_cpu,
    require_huggingface_suite,
    require_multi_gpu,
    require_single_gpu,
)
from accelerate.utils import patch_environment




@require_huggingface_suite
class    __lowerCAmelCase       (							unittest.TestCase):






       def 					SCREAMING_SNAKE_CASE    (   self:					List[str]				):
         lowercase    :List[str]      	=						inspect.getfile(accelerate.test_utils				)
         lowercase    :List[Any]      	=						os.path.sep.join(
             mod_file.split(os.path.sep				)[:-1] + ["scripts", "external_deps", "test_metrics.py"]				)

         from accelerate.test_utils.scripts.external_deps import test_metrics  # noqa: F401

         lowercase    :str      	=						test_metrics






       @require_cpu
       def 					SCREAMING_SNAKE_CASE    (   self:					Tuple				):
         debug_launcher(self.test_metrics.main       ,					num_processes=1				)






       @require_cpu
       def 					SCREAMING_SNAKE_CASE    (   self:					int				):
         debug_launcher(self.test_metrics.main				)






       @require_single_gpu
       def 					SCREAMING_SNAKE_CASE    (   self:					List[Any]				):
         self.test_metrics.main()






       @require_multi_gpu
       def 					SCREAMING_SNAKE_CASE    (   self:					Optional[Any]				):
         print(F"Found {torch.cuda.device_count()} devices."				)
         lowercase    :str      	=						["torchrun", F"--nproc_per_node={torch.cuda.device_count()}", self.test_file_path]
         with patch_environment(omp_num_threads=1				):
           execute_subprocess_async(_lowerCAmelCase       ,					env=os.environ.copy()				)



