import json
import os
from datetime import date
from pathlib import Path

from tabulate import DataRow, TableFormat, tabulate


A     :  Any					     =       TableFormat(
    lineabove=None,
    linebelowheader=None,
    linebetweenrows=None,
    linebelow=None,
    headerrow=DataRow("", "|", "|"),
    datarow=DataRow("", "|", "|"),
    padding=1,
    with_header_hide=None,
)


A     :  Any					     =       []
A     :  str					     =       []

A     :  Dict					     =       {"type": "section", "text": {"type": "plain_text", "text": "No failed tests! 🤗", "emoji": True}}

A     :  Any					     =       [
    {
        "type": "header",
        "text": {
            "type": "plain_text",
            "text": f"🤗 Accelerate nightly {os.environ.get('TEST_TYPE', '')} test results",
            "emoji": True,
        },
    }
]

A     :  List[str]					     =       0
for log in Path().glob("*.log"):
						A     :  List[str]					     =       0
						with open(log, "r") as f:
												for line in f:
																		A     :  List[str]					     =       json.loads(line)
																		if line.get("nodeid", "") != "":
																								A     :  Optional[Any]					     =       line["nodeid"]
																								if line.get("duration", None) is not None:
																														A     :  str					     =       f"{line['duration']:.4f}"
																														if line.get("outcome", "") == "failed":
																																				section_num_failed += 1
																																				failed.append([test, duration, log.name.split("_")[0]])
																																				total_num_failed += 1
						group_info.append([str(log), section_num_failed, failed])
						A     :  Optional[Any]					     =       []
						log.unlink()

A     :  Optional[Any]					     =       ""
A     :  Optional[int]					     =       []
if total_num_failed > 0:
						for name, num_failed, failed_tests in group_info:
												if num_failed > 0:
																		if num_failed == 1:
																								message += f"*{name[1:]}: {num_failed} failed test*\n"
																		else:
																								message += f"*{name[1:]}: {num_failed} failed tests*\n"
																		A     :  Any					     =       []
																		A     :  Dict					     =       {}
																		for test in failed_tests:
																								A     :  str					     =       test[0].split("::")
																								A     :  str					     =       data[0].split("/")[-1]
																								if data[0] not in filesafailed:
																														A     :  List[Any]					     =       [data[1:]]
																								else:
																														filesafailed[data[0]] += [data[1:]]
																								failed_table.append(data)

																		A     :  List[Any]					     =       [test[0] for test in failed_table]
																		A     :  Tuple					     =       list(set(files))
																		# Count number of instances in failed_tests
																		A     :  Union[str, Any]					     =       []
																		for file in individual_files:
																								table.append([file, len(filesafailed[file])])

																		A     :  Union[str, Any]					     =       tabulate(
																		    table,
																		    headers=["Test Location", "Num Failed"],
																		    tablefmt=hf_table_format,
																		    stralign="right",
																		)
																		message += f"\n```\n{failed_table}\n```"
																		all_filesafailed.append(filesafailed)
						if len(message) > 30_00:
												A     :  Union[str, Any]					     =       "Too many failed tests, please see the full report in the Action results."
												A     :  int					     =       len(err) + 10
												A     :  List[Any]					     =       message[: 30_00 - offset] + f"\n...\n```\n{err}"
						print(f"### {message}")
else:
						A     :  str					     =       "No failed tests! 🤗"
						print(f"## {message}")
						payload.append(no_error_payload)

if os.environ.get("TEST_TYPE", "") != "":
						from slack_sdk import WebClient

						A     :  Union[str, Any]					     =       WebClient(token=os.environ["SLACK_API_TOKEN"])
						if message != "No failed tests! 🤗":
												A     :  Optional[int]					     =       {
												    "type": "section",
												    "text": {
												        "type": "mrkdwn",
												        "text": message,
												    },
												}
												payload.append(md_report)
												A     :  Union[str, Any]					     =       {
												    "type": "section",
												    "text": {
												        "type": "mrkdwn",
												        "text": "*For more details:*",
												    },
												    "accessory": {
												        "type": "button",
												        "text": {
												            "type": "plain_text",
												            "text": "Check Action results",
												            "emoji": True,
												        },
												        "url": f"https://github.com/{os.environ['GITHUB_REPOSITORY']}/actions/runs/{os.environ['GITHUB_RUN_ID']}",
												    },
												}
												payload.append(action_button)
												A     :  int					     =       {
												    "type": "context",
												    "elements": [
												        {
												            "type": "plain_text",
												            "text": f"Nightly {os.environ.get('TEST_TYPE')} test results for {date.today()}",
												        }
												    ],
												}
												payload.append(date_report)
						A     :  Dict					     =       client.chat_postMessage(channel="#accelerate-ci-daily", text=message, blocks=payload)
						A     :  Tuple					     =       response.data["ts"]
						for failed_file in all_filesafailed:
												for test_location, test_failures in failed_file.items():
																		# Keep only the first instance of the test name
																		A     :  Optional[int]					     =       ""
																		for i, row in enumerate(test_failures):
																								if row[0] != test_class:
																														A     :  Optional[Any]					     =       row[0]
																								else:
																														A     :  Tuple					     =       ""

																		A     :  List[str]					     =       {
																		    "type": "section",
																		    "text": {
																		        "type": "mrkdwn",
																		        "text": f"Test location: {test_location}\n```\n{tabulate(test_failures, headers=['Class', 'Test'], tablefmt=hf_table_format, stralign='right')}\n```",
																		    },
																		}

																		client.chat_postMessage(
																		    channel="#accelerate-ci-daily",
																		    thread_ts=ts,
																		    blocks=[payload],
																		)



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					(SCREAMING_SNAKE_CASE__					):
  """simple docstring"""







  def __init__(							self :       List[Any]  ,     __magic_name__ :       Optional[Any]=-1   )  ->	Optional[Any]:
        # in NER datasets, the last column is usually reserved for NER label
        SCREAMING_SNAKE_CASE_          =  label_idx







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







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







  def    __A     (							self :       Optional[int]  ,     __magic_name__ :       str   )  ->	List[str]:
        if path:
              with open(__magic_name__  ,     "r"   ) as f:
                    SCREAMING_SNAKE_CASE_          =  f.read().splitlines()
              if "O" not in labels:
                    SCREAMING_SNAKE_CASE_          =  ["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					(SCREAMING_SNAKE_CASE__					):
  """simple docstring"""







  def __init__(							self :       Optional[int]   )  ->	str:
        # in CONLL2003 dataset chunk column is second-to-last
        super().__init__(label_idx=-2   )







  def    __A     (							self :       Any  ,     __magic_name__ :       str   )  ->	List[str]:
        if path:
              with open(__magic_name__  ,     "r"   ) as f:
                    SCREAMING_SNAKE_CASE_          =  f.read().splitlines()
              if "O" not in labels:
                    SCREAMING_SNAKE_CASE_          =  ["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					(SCREAMING_SNAKE_CASE__					):
  """simple docstring"""







  def    __A     (							self :       str  ,     __magic_name__ :       Optional[Any]  ,     __magic_name__ :       Union[Split, str]   )  ->	List[InputExample]:
        if isinstance(__magic_name__  ,     __magic_name__   ):
              SCREAMING_SNAKE_CASE_          =  mode.value
        SCREAMING_SNAKE_CASE_          =  os.path.join(__magic_name__  ,     F'''{mode}.txt'''   )
        SCREAMING_SNAKE_CASE_          =  1
        SCREAMING_SNAKE_CASE_          =  []

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







  def    __A     (							self :       Optional[int]  ,     __magic_name__ :       TextIO  ,     __magic_name__ :       TextIO  ,     __magic_name__ :       List   )  ->	Union[str, Any]:
        SCREAMING_SNAKE_CASE_          =  0
        for sentence in parse_incr(__magic_name__   ):
              SCREAMING_SNAKE_CASE_          =  preds_list[example_id]
              SCREAMING_SNAKE_CASE_          =  ""
              for token in sentence:
                    out += F'''{token["form"]} ({token["upos"]}|{s_p.pop(0   )}) '''
              out += "\n"
              writer.write(__magic_name__   )
              example_id += 1







  def    __A     (							self :       Optional[int]  ,     __magic_name__ :       str   )  ->	List[str]:
        if path:
              with open(__magic_name__  ,     "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",
              ]


