def __init__(self, path=None):
# Create a unique id to identify current serie of job runs
self.seriesID = util.random_str(8)
print("\nBatch Series ID: %s" % self.seriesID)
# Simulation tool to be used
self.simtool = None
# Config info for detected simulation tool
self.config = {}
# Variable that holds the name of the 'run_jobs' function to be used
self.runjob_func = run_job
# True if project is a simulation batch, False otherwise
self._batch = False
# Simulation run time
self.simtime = 0
# Relative path to model file to be used in current run
self.model_relpath = None
# List of jobs to be run
self.jobs = []
# List of dicts containing run summaries for all jobs
self.runsummary = []
# Absolute path to base directory for jobs
self.jobsdir_abspath = None
# Absolute path to jobs results directory
self.resultsdir_abspath = None
# Name of results database
self.db_name = 'SimResults.db'
# Name of jobs csv file
self.jobscsv_name = 'SimJobs.csv'
# Name of results csv file
self.resultscsv_name = 'SimResults.csv'
# Name of run summary csv file
self.runsumcsv_name = 'RunSummary.csv'
# List of relative paths to template simulation files
self.temp_relpaths = []
# List of parameters found in template files
self.temp_params = []
# Relative path to csv file containing list of jobs to be run
self.samp_relpath = None
# List of parameters found in sample file
self.samp_params = []
# Raw sample extracted from csv file. It's a list of dicts with
# each dict holding all parameter for a particular job
self.sample = []
# Pandas DataFrame for jobs list
self.jobs_df = None
# Pandas DataFrame for simulation results
self.results_df = None
# Pandas DataFrame for run summary
self.runsum_df = None
if path is not None:
# Absolute path to simulation project directory
self.abspath = os.path.abspath(path)
print("\nBPS project directory: " + self.abspath)
# Launch method to detect sim tool and store related config info
self.check()
else:
self.abspath = []
def __init__(self,
path=None,
validCheck=True,
seriesID='random',
startJobID=1):
"""Initialization of BPSProject Class
Args:
path: relative or absolute path to simulation project directory.
If not defined here, the "set_projpath" method should be used.
validCheck: if True (default), checks validity of inputs
seriesID: by default, seriesID is defined automatically (random)
However, the user can force the seriesID using this arg.
startJobID: by default, the start ID for jobs is 1, but this can
be overridden by giving any start number to this arg.
"""
# Create a unique id to identify current serie of job runs
if seriesID == 'random':
self.seriesID = util.random_str(8)
else:
self.seriesID = seriesID
print("\nBatch Series ID: %s" % self.seriesID)
# Set the start index number for jobs (by default: 1)
self.startJobID = startJobID
# A flag to enable or disable validity checking
self.valid_check = validCheck
# Simulation tool to be used
self.simtool = None
# Config info for detected simulation tool
self.config = {}
# Variable that holds the name of the 'run_jobs' function to be used
self.runjob_func = run_job
# True if project is a simulation batch, False otherwise
self._batch = False
# Simulation run time
self.simtime = 0
# Relative path to model file to be used in current run
self.model_relpath = None
# List of jobs to be run
self.jobs = []
# List of dicts containing run summaries for all jobs
self.runsummary = []
# Absolute path to base directory for jobs
self.jobsdir_abspath = None
# Absolute path to jobs results directory
self.resultsdir_abspath = None
# Name of results database
self.db_name = 'SimResults.db'
# Name of jobs csv file
self.jobscsv_name = 'SimJobs.csv'
# Name of results csv file
self.resultscsv_name = 'SimResults.csv'
# Name of run summary csv file
self.runsumcsv_name = 'RunSummary.csv'
# List of relative paths to template simulation files
self.temp_relpaths = []
# List of parameters found in template files
self.temp_params = []
# Relative path to csv file containing list of jobs to be run
self.samp_relpath = None
# List of parameters found in sample file
self.samp_params = []
# Raw sample extracted from csv file. It's a list of dicts with
# each dict holding all parameter for a particular job
self.sample = []
# Pandas DataFrame for jobs list
self.jobs_df = None
# Pandas DataFrame for simulation results
self.results_df = None
# Pandas DataFrame for run summary
self.runsum_df = None
if path is not None:
# Absolute path to simulation project directory
self.abspath = os.path.abspath(path)
print("\nBPS project directory: " + self.abspath)
# Launch method to detect sim tool and store related config info
self.check()
else:
self.abspath = []
def __init__(self, path=None, validCheck=True, seriesID='random', startJobID=1):
"""Initialization of BPSProject Class
Args:
path: relative or absolute path to simulation project directory.
If not defined here, the "set_projpath" method should be used.
validCheck: if True (default), checks validity of inputs
seriesID: by default, seriesID is defined automatically (random)
However, the user can force the seriesID using this arg.
startJobID: by default, the start ID for jobs is 1, but this can
be overridden by giving any start number to this arg.
"""
# Create a unique id to identify current serie of job runs
if seriesID == 'random':
self.seriesID = util.random_str(8)
else:
self.seriesID = seriesID
print("\nBatch Series ID: %s" % self.seriesID)
# Set the start index number for jobs (by default: 1)
self.startJobID = startJobID
# A flag to enable or disable validity checking
self.valid_check = validCheck
# Simulation tool to be used
self.simtool = None
# Config info for detected simulation tool
self.config = {}
# Variable that holds the name of the 'run_jobs' function to be used
self.runjob_func = run_job
# True if project is a simulation batch, False otherwise
self._batch = False
# Simulation run time
self.simtime = 0
# Relative path to model file to be used in current run
self.model_relpath = None
# List of jobs to be run
self.jobs = []
# List of dicts containing run summaries for all jobs
self.runsummary = []
# Absolute path to base directory for jobs
self.jobsdir_abspath = None
# Absolute path to jobs results directory
self.resultsdir_abspath = None
# Name of results database
self.db_name = 'SimResults.db'
# Name of jobs csv file
self.jobscsv_name = 'SimJobs.csv'
# Name of results csv file
self.resultscsv_name = 'SimResults.csv'
# Name of run summary csv file
self.runsumcsv_name = 'RunSummary.csv'
# List of relative paths to template simulation files
self.temp_relpaths = []
# List of parameters found in template files
self.temp_params = []
# Relative path to csv file containing list of jobs to be run
self.samp_relpath = None
# List of parameters found in sample file
self.samp_params = []
# Raw sample extracted from csv file. It's a list of dicts with
# each dict holding all parameter for a particular job
self.sample = []
# Pandas DataFrame for jobs list
self.jobs_df = None
# Pandas DataFrame for simulation results
self.results_df = None
# Pandas DataFrame for run summary
self.runsum_df = None
if path is not None:
# Absolute path to simulation project directory
self.abspath = os.path.abspath(path)
print("\nBPS project directory: " + self.abspath)
# Launch method to detect sim tool and store related config info
self.check()
else:
self.abspath = []
