






"""simple docstring"""







import contextlib
import os
import sqlitea

import pytest

from datasets import Dataset, Features, Value
from datasets.io.sql import SqlDatasetReader, SqlDatasetWriter

from ..utils import assert_arrow_memory_doesnt_increase, assert_arrow_memory_increases, require_sqlalchemy






def       _lowerCAmelCase       (      lowerCAmelCase	,      lowerCAmelCase		):







       '''simple docstring'''
       assert isinstance(lowerCAmelCase	,      lowerCAmelCase		)
       assert dataset.num_rows == 4
       assert dataset.num_columns == 3
       assert dataset.column_names == ["col_1", "col_2", "col_3"]
       for feature, expected_dtype in expected_features.items():
              assert dataset.features[feature].dtype == expected_dtype






@require_sqlalchemy
@pytest.mark.parametrize("""keep_in_memory"""	,      [False, True]		)
def       _lowerCAmelCase       (      lowerCAmelCase	,      lowerCAmelCase	,      lowerCAmelCase	,      lowerCAmelCase		):







       '''simple docstring'''
       UpperCAmelCase	    =			tmp_path / """cache"""
       UpperCAmelCase	    =			{"""col_1""": """string""", """col_2""": """int64""", """col_3""": """float64"""}
       with assert_arrow_memory_increases() if keep_in_memory else assert_arrow_memory_doesnt_increase():
              UpperCAmelCase	    =			SqlDatasetReader(
                  """dataset"""	,      """sqlite:///""" + sqlite_path	,      cache_dir=lowerCAmelCase	,      keep_in_memory=lowerCAmelCase		).read()
       _check_sql_dataset(lowerCAmelCase	,      lowerCAmelCase		)






@require_sqlalchemy
@pytest.mark.parametrize(
    """features"""	,      [
        None,
        {"""col_1""": """string""", """col_2""": """int64""", """col_3""": """float64"""},
        {"""col_1""": """string""", """col_2""": """string""", """col_3""": """string"""},
        {"""col_1""": """int32""", """col_2""": """int32""", """col_3""": """int32"""},
        {"""col_1""": """float32""", """col_2""": """float32""", """col_3""": """float32"""},
    ]	,      )
def       _lowerCAmelCase       (      lowerCAmelCase	,      lowerCAmelCase	,      lowerCAmelCase	,      lowerCAmelCase		):







       '''simple docstring'''
       UpperCAmelCase	    =			tmp_path / """cache"""
       UpperCAmelCase	    =			{"""col_1""": """string""", """col_2""": """int64""", """col_3""": """float64"""}
       UpperCAmelCase	    =			features.copy() if features else default_expected_features
       UpperCAmelCase	    =			(
           Features({feature: Value(lowerCAmelCase		) for feature, dtype in features.items()}		) if features is not None else None
       )
       UpperCAmelCase	    =			SqlDatasetReader("""dataset"""	,      """sqlite:///""" + sqlite_path	,      features=lowerCAmelCase	,      cache_dir=lowerCAmelCase		).read()
       _check_sql_dataset(lowerCAmelCase	,      lowerCAmelCase		)






def       _lowerCAmelCase       (      lowerCAmelCase		):







       '''simple docstring'''
       with contextlib.closing(sqlitea.connect(lowerCAmelCase		)		) as con:
              UpperCAmelCase	    =			con.cursor()
              cur.execute("""SELECT * FROM dataset"""		)
              for row in cur:
                     yield row






@require_sqlalchemy
def       _lowerCAmelCase       (      lowerCAmelCase	,      lowerCAmelCase	,      lowerCAmelCase		):







       '''simple docstring'''
       UpperCAmelCase	    =			tmp_path / """cache"""
       UpperCAmelCase	    =			os.path.join(lowerCAmelCase	,      """tmp.sql"""		)
       UpperCAmelCase	    =			SqlDatasetReader("""dataset"""	,      """sqlite:///""" + sqlite_path	,      cache_dir=lowerCAmelCase		).read()
       SqlDatasetWriter(lowerCAmelCase	,      """dataset"""	,      """sqlite:///""" + output_sqlite_path	,      num_proc=1		).write()

       UpperCAmelCase	    =			iter_sql_file(lowerCAmelCase		)
       UpperCAmelCase	    =			iter_sql_file(lowerCAmelCase		)

       for rowa, rowa in zip(lowerCAmelCase	,      lowerCAmelCase		):
              assert rowa == rowa






@require_sqlalchemy
def       _lowerCAmelCase       (      lowerCAmelCase	,      lowerCAmelCase	,      lowerCAmelCase		):







       '''simple docstring'''
       UpperCAmelCase	    =			tmp_path / """cache"""
       UpperCAmelCase	    =			os.path.join(lowerCAmelCase	,      """tmp.sql"""		)
       UpperCAmelCase	    =			SqlDatasetReader("""dataset"""	,      """sqlite:///""" + sqlite_path	,      cache_dir=lowerCAmelCase		).read()
       SqlDatasetWriter(lowerCAmelCase	,      """dataset"""	,      """sqlite:///""" + output_sqlite_path	,      num_proc=2		).write()

       UpperCAmelCase	    =			iter_sql_file(lowerCAmelCase		)
       UpperCAmelCase	    =			iter_sql_file(lowerCAmelCase		)

       for rowa, rowa in zip(lowerCAmelCase	,      lowerCAmelCase		):
              assert rowa == rowa






@require_sqlalchemy
def       _lowerCAmelCase       (      lowerCAmelCase	,      lowerCAmelCase	,      lowerCAmelCase		):







       '''simple docstring'''
       UpperCAmelCase	    =			tmp_path / """cache"""
       UpperCAmelCase	    =			os.path.join(lowerCAmelCase	,      """tmp.sql"""		)
       UpperCAmelCase	    =			SqlDatasetReader("""dataset"""	,      """sqlite:///""" + sqlite_path	,      cache_dir=lowerCAmelCase		).read()
       with pytest.raises(lowerCAmelCase		):
              SqlDatasetWriter(lowerCAmelCase	,      """dataset"""	,      """sqlite:///""" + output_sqlite_path	,      num_proc=0		).write()








"""simple docstring"""







from __future__ import annotations

import pandas as pd






def       _lowerCAmelCase       (      lowerCAmelCase	,      lowerCAmelCase	,      lowerCAmelCase		):







       '''simple docstring'''
       UpperCAmelCase	    =			[0] * no_of_processes
       UpperCAmelCase	    =			[0] * no_of_processes
       # Copy the burst time into remaining_time[]
       for i in range(lowerCAmelCase		):
              UpperCAmelCase	    =			burst_time[i]

       UpperCAmelCase	    =			0
       UpperCAmelCase	    =			0
       UpperCAmelCase	    =			999999999
       UpperCAmelCase	    =			0
       UpperCAmelCase	    =			False

       # Process until all processes are completed
       while complete != no_of_processes:
              for j in range(lowerCAmelCase		):
                     if arrival_time[j] <= increment_time and remaining_time[j] > 0:
                            if remaining_time[j] < minm:
                                   UpperCAmelCase	    =			remaining_time[j]
                                   UpperCAmelCase	    =			j
                                   UpperCAmelCase	    =			True

              if not check:
                     increment_time += 1
                     continue
              remaining_time[short] -= 1

              UpperCAmelCase	    =			remaining_time[short]
              if minm == 0:
                     UpperCAmelCase	    =			999999999

              if remaining_time[short] == 0:
                     complete += 1
                     UpperCAmelCase	    =			False

                     # Find finish time of current process
                     UpperCAmelCase	    =			increment_time + 1

                     # Calculate waiting time
                     UpperCAmelCase	    =			finish_time - arrival_time[short]
                     UpperCAmelCase	    =			finar - burst_time[short]

                     if waiting_time[short] < 0:
                            UpperCAmelCase	    =			0

        # Increment time
              increment_time += 1
       return waiting_time






def       _lowerCAmelCase       (      lowerCAmelCase	,      lowerCAmelCase	,      lowerCAmelCase		):







       '''simple docstring'''
       UpperCAmelCase	    =			[0] * no_of_processes
       for i in range(lowerCAmelCase		):
              UpperCAmelCase	    =			burst_time[i] + waiting_time[i]
       return turn_around_time






def       _lowerCAmelCase       (      lowerCAmelCase	,      lowerCAmelCase	,      lowerCAmelCase		):







       '''simple docstring'''
       UpperCAmelCase	    =			0
       UpperCAmelCase	    =			0
       for i in range(lowerCAmelCase		):
              UpperCAmelCase	    =			total_waiting_time + waiting_time[i]
              UpperCAmelCase	    =			total_turn_around_time + turn_around_time[i]
       print(F'''Average waiting time = {total_waiting_time / no_of_processes:.5f}'''		)
       print("""Average turn around time ="""	,      total_turn_around_time / no_of_processes		)


if __name__ == "__main__":
 print('''Enter how many process you want to analyze''')
 lowerCAmelCase_	:    Optional[Any]            =      int(input())
 lowerCAmelCase_	:    List[Any]            =      [0] * no_of_processes
 lowerCAmelCase_	:    Optional[Any]            =      [0] * no_of_processes
 lowerCAmelCase_	:    int            =      list(range(1, no_of_processes + 1))

 for i in range(no_of_processes):
  print('''Enter the arrival time and burst time for process:--''' + str(i + 1))
  lowerCAmelCase_     ,					lowerCAmelCase_	:    Optional[Any]            =      map(int, input().split())

 lowerCAmelCase_	:    str            =      calculate_waitingtime(arrival_time, burst_time, no_of_processes)

 lowerCAmelCase_	:    str            =      burst_time
 lowerCAmelCase_	:    List[Any]            =      no_of_processes
 lowerCAmelCase_	:    int            =      waiting_time
 lowerCAmelCase_	:    int            =      calculate_turnaroundtime(bt, n, wt)

 calculate_average_times(waiting_time, turn_around_time, no_of_processes)

 lowerCAmelCase_	:    List[Any]            =      pd.DataFrame(
     list(zip(processes, burst_time, arrival_time, waiting_time, turn_around_time)),
     columns=[
         '''Process''',
         '''BurstTime''',
         '''ArrivalTime''',
         '''WaitingTime''',
         '''TurnAroundTime''',
     ],
 )

 # Printing the dataFrame
 pd.set_option('''display.max_rows''', fcfs.shape[0] + 1)
 print(fcfs)
