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

from tabulate import DataRow, TableFormat, tabulate


SCREAMING_SNAKE_CASE :	List[str]							     =		TableFormat(
    lineabove=None,
    linebelowheader=None,
    linebetweenrows=None,
    linebelow=None,
    headerrow=DataRow("""""", """|""", """|"""),
    datarow=DataRow("""""", """|""", """|"""),
    padding=1,
    with_header_hide=None,
)


SCREAMING_SNAKE_CASE :	int							     =		[]
SCREAMING_SNAKE_CASE :	int							     =		[]

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

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

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

SCREAMING_SNAKE_CASE :	List[Any]							     =		""""""
SCREAMING_SNAKE_CASE :	Optional[Any]							     =		[]
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"
      SCREAMING_SNAKE_CASE :	Dict							     =		[]
      SCREAMING_SNAKE_CASE :	Optional[Any]							     =		{}
      for test in failed_tests:
        SCREAMING_SNAKE_CASE :	Any							     =		test[0].split("""::""")
        SCREAMING_SNAKE_CASE :	Union[str, Any]							     =		data[0].split("""/""")[-1]
        if data[0] not in filesafailed:
          SCREAMING_SNAKE_CASE :	Optional[Any]							     =		[data[1:]]
        else:
          filesafailed[data[0]] += [data[1:]]
        failed_table.append(data)

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

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

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

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

      SCREAMING_SNAKE_CASE :	Optional[int]							     =		{
          """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],
      )



from __future__ import annotations
class    A_ :

  def __init__(		self :      Union[str, Any]     ,							__SCREAMING_SNAKE_CASE :      int       ):
   __a       =  order

   # a_{0} ... a_{k}
   __a       =  [1.0] + [0.0] * order
   # b_{0} ... b_{k}
   __a       =  [1.0] + [0.0] * order

   # x[n-1] ... x[n-k]
   __a       =  [0.0] * self.order
   # y[n-1] ... y[n-k]
   __a       =  [0.0] * self.order

  def 		_UpperCAmelCase   (		self :      Union[str, Any]     ,							__SCREAMING_SNAKE_CASE :      list[float]     ,							__SCREAMING_SNAKE_CASE :      list[float]       ):
   if len(__SCREAMING_SNAKE_CASE       ) < self.order:
    __a       =  [1.0, *a_coeffs]

   if len(__SCREAMING_SNAKE_CASE       ) != self.order + 1:
    __a       =  (
        f"""Expected a_coeffs to have {self.order + 1} elements """
        f"""for {self.order}-order filter, got {len(__SCREAMING_SNAKE_CASE       )}"""
    )
    raise ValueError(__SCREAMING_SNAKE_CASE       )

   if len(__SCREAMING_SNAKE_CASE       ) != self.order + 1:
    __a       =  (
        f"""Expected b_coeffs to have {self.order + 1} elements """
        f"""for {self.order}-order filter, got {len(__SCREAMING_SNAKE_CASE       )}"""
    )
    raise ValueError(__SCREAMING_SNAKE_CASE       )

   __a       =  a_coeffs
   __a       =  b_coeffs

  def 		_UpperCAmelCase   (		self :      Optional[Any]     ,							__SCREAMING_SNAKE_CASE :      float       ):
   __a       =  0.0

   # Start at index 1 and do index 0 at the end.
   for i in range(1     ,							self.order + 1       ):
    result += (
        self.b_coeffs[i] * self.input_history[i - 1]
        - self.a_coeffs[i] * self.output_history[i - 1]
    )

   __a       =  (result + self.b_coeffs[0] * sample) / self.a_coeffs[0]

   __a       =  self.input_history[:-1]
   __a       =  self.output_history[:-1]

   __a       =  sample
   __a       =  result

   return result


