

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

from tabulate import DataRow, TableFormat, tabulate


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


lowercase_			=  []
lowercase_			=  []

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

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

lowercase_			=  0
for log in Path().glob("*.log"):
     lowercase_			=  0
     with open(log, "r") as f:
          for line in f:
               lowercase_			=  json.loads(line)
               if line.get("nodeid", "") != "":
                    lowercase_			=  line["nodeid"]
                    if line.get("duration", None) is not None:
                         lowercase_			=  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])
     lowercase_			=  []
     log.unlink()

lowercase_			=  ""
lowercase_			=  []
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"
               lowercase_			=  []
               lowercase_			=  {}
               for test in failed_tests:
                    lowercase_			=  test[0].split("::")
                    lowercase_			=  data[0].split("/")[-1]
                    if data[0] not in filesafailed:
                         lowercase_			=  [data[1:]]
                    else:
                         filesafailed[data[0]] += [data[1:]]
                    failed_table.append(data)

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

               lowercase_			=  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) > 3000:
          lowercase_			=  "Too many failed tests, please see the full report in the Action results."
          lowercase_			=  len(err) + 10
          lowercase_			=  message[: 3000 - offset] + f"""\n...\n```\n{err}"""
     print(f"""### {message}""")
else:
     lowercase_			=  "No failed tests! 🤗"
     print(f"""## {message}""")
     payload.append(no_error_payload)

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

     lowercase_			=  WebClient(token=os.environ["SLACK_API_TOKEN"])
     if message != "No failed tests! 🤗":
          lowercase_			=  {
              "type": "section",
              "text": {
                  "type": "mrkdwn",
                  "text": message,
              },
          }
          payload.append(md_report)
          lowercase_			=  {
              "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)
          lowercase_			=  {
              "type": "context",
              "elements": [
                  {
                      "type": "plain_text",
                      "text": f"""Nightly {os.environ.get("TEST_TYPE")} test results for {date.today()}""",
                  }
              ],
          }
          payload.append(date_report)
     lowercase_			=  client.chat_postMessage(channel="#accelerate-ci-daily", text=message, blocks=payload)
     lowercase_			=  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
               lowercase_			=  ""
               for i, row in enumerate(test_failures):
                    if row[0] != test_class:
                         lowercase_			=  row[0]
                    else:
                         lowercase_			=  ""

               lowercase_			=  {
                   "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],
               )




def 						_snake_case(   SCREAMING_SNAKE_CASE__      :     int   ,      SCREAMING_SNAKE_CASE__      :     int   ,      SCREAMING_SNAKE_CASE__      :     list[list[int]]				)							->				int:





    '''simple docstring'''






    def update_area_of_max_square(SCREAMING_SNAKE_CASE__      :     int   ,      SCREAMING_SNAKE_CASE__      :     int				) -> int:
        # BASE CASE
        if row >= rows or col >= cols:
            return 0

        A__   				=       update_area_of_max_square(SCREAMING_SNAKE_CASE__   ,      col + 1				)
        A__   				=       update_area_of_max_square(row + 1   ,      col + 1				)
        A__   				=       update_area_of_max_square(row + 1   ,      SCREAMING_SNAKE_CASE__				)

        if mat[row][col]:
            A__   				=       1 + min([right, diagonal, down]				)
            A__   				=       max(largest_square_area[0]   ,      SCREAMING_SNAKE_CASE__				)
            return sub_problem_sol
        else:
            return 0

    A__   				=       [0]
    update_area_of_max_square(0   ,      0				)
    return largest_square_area[0]
def 						_snake_case(   SCREAMING_SNAKE_CASE__      :     int   ,      SCREAMING_SNAKE_CASE__      :     int   ,      SCREAMING_SNAKE_CASE__      :     list[list[int]]				)							->				int:





    '''simple docstring'''






    def update_area_of_max_square_using_dp_array(
        SCREAMING_SNAKE_CASE__      :     int   ,      SCREAMING_SNAKE_CASE__      :     int   ,      SCREAMING_SNAKE_CASE__      :     list[list[int]]				) -> int:
        if row >= rows or col >= cols:
            return 0
        if dp_array[row][col] != -1:
            return dp_array[row][col]

        A__   				=       update_area_of_max_square_using_dp_array(SCREAMING_SNAKE_CASE__   ,      col + 1   ,      SCREAMING_SNAKE_CASE__				)
        A__   				=       update_area_of_max_square_using_dp_array(row + 1   ,      col + 1   ,      SCREAMING_SNAKE_CASE__				)
        A__   				=       update_area_of_max_square_using_dp_array(row + 1   ,      SCREAMING_SNAKE_CASE__   ,      SCREAMING_SNAKE_CASE__				)

        if mat[row][col]:
            A__   				=       1 + min([right, diagonal, down]				)
            A__   				=       max(largest_square_area[0]   ,      SCREAMING_SNAKE_CASE__				)
            A__   				=       sub_problem_sol
            return sub_problem_sol
        else:
            return 0

    A__   				=       [0]
    A__   				=       [[-1] * cols for _ in range(SCREAMING_SNAKE_CASE__				)]
    update_area_of_max_square_using_dp_array(0   ,      0   ,      SCREAMING_SNAKE_CASE__				)

    return largest_square_area[0]
def 						_snake_case(   SCREAMING_SNAKE_CASE__      :     int   ,      SCREAMING_SNAKE_CASE__      :     int   ,      SCREAMING_SNAKE_CASE__      :     list[list[int]]				)							->				int:





    '''simple docstring'''






    A__   				=       [[0] * (cols + 1) for _ in range(rows + 1				)]
    A__   				=       0
    for row in range(rows - 1   ,      -1   ,      -1				):
        for col in range(cols - 1   ,      -1   ,      -1				):
            A__   				=       dp_array[row][col + 1]
            A__   				=       dp_array[row + 1][col + 1]
            A__   				=       dp_array[row + 1][col]

            if mat[row][col] == 1:
                A__   				=       1 + min(SCREAMING_SNAKE_CASE__   ,      SCREAMING_SNAKE_CASE__   ,      SCREAMING_SNAKE_CASE__				)
                A__   				=       max(dp_array[row][col]   ,      SCREAMING_SNAKE_CASE__				)
            else:
                A__   				=       0

    return largest_square_area
def 						_snake_case(   SCREAMING_SNAKE_CASE__      :     int   ,      SCREAMING_SNAKE_CASE__      :     int   ,      SCREAMING_SNAKE_CASE__      :     list[list[int]]				)							->				int:





    '''simple docstring'''






    A__   				=       [0] * (cols + 1)
    A__   				=       [0] * (cols + 1)
    A__   				=       0
    for row in range(rows - 1   ,      -1   ,      -1				):
        for col in range(cols - 1   ,      -1   ,      -1				):
            A__   				=       current_row[col + 1]
            A__   				=       next_row[col + 1]
            A__   				=       next_row[col]

            if mat[row][col] == 1:
                A__   				=       1 + min(SCREAMING_SNAKE_CASE__   ,      SCREAMING_SNAKE_CASE__   ,      SCREAMING_SNAKE_CASE__				)
                A__   				=       max(current_row[col]   ,      SCREAMING_SNAKE_CASE__				)
            else:
                A__   				=       0
        A__   				=       current_row

    return largest_square_area


if __name__ == "__main__":
     import doctest

     doctest.testmod()
     print(largest_square_area_in_matrix_bottom_up(2, 2, [[1, 1], [1, 1]]))

