def main():
"""
Main function to call appropriate functions to compute all the stats
:return: Nothing
:rtype: None
"""
# Getting the path for logging config using arparse
log_config_file = helper.ARGUMENTS.logfile
# Configuring logging
helper.configure_logging(log_config_file)
solutions.get_stats(helper.ARGUMENTS.inputfile)
def main():
"""
Main function to Find the Derivative of Some functions
:return: Nothing
:rtype: None
"""
# Getting the path for logging config using arparse
log_config_file = helper.ARGUMENTS.logfile
# Configuring logging
helper.configure_logging(log_config_file)
# Finding the derivatives of some functions
solutions.find_derivatives()
def main():
"""
Main function for finding the simple moving average(SMA), expanding window average(EM) of Given Array
:return: Nothing
:rtype: None
"""
# Getting the path for logging config using arparse
log_config_file = helper.ARGUMENTS.logfile
# Configuring logging
helper.configure_logging(log_config_file)
input_vector = helper.get_vector_from_file(helper.ARGUMENTS.inputfile)
# Finding the SMA and EM of the given vector
solutions.find_sma_em(input_vector, 4)
def main():
"""
Main function to
:return: Nothing
:rtype: None
"""
# Getting the path for logging config using arparse
log_config_file = helper.ARGUMENTS.logfile
# Configuring logging
helper.configure_logging(log_config_file)
# Plotting the Curves
solutions.plot_curves(helper.ARGUMENTS.x_min_cs, helper.ARGUMENTS.x_max_cs, helper.ARGUMENTS.x_min_sig,
helper.ARGUMENTS.x_max_sig, helper.ARGUMENTS.no_points, helper.ARGUMENTS.width,
helper.ARGUMENTS.height)
def main():
"""
Main function to find the Nth term of Geometric progression given it's first 5 terms
:return: Nothing
:rtype: None
"""
# Getting the path for logging config using arparse
log_config_file = helper.ARGUMENTS.logfile
# Configuring logging
helper.configure_logging(log_config_file)
# Extract the Input Vector from file
input_vector = helper.get_vector_from_file(helper.ARGUMENTS.inputfile)
# Finding the Nth Geometric Term
solutions.get_n_geometric_term(input_vector, 6)
def main():
"""
Main function to
:return: Nothing
:rtype: None
"""
# Getting the path for logging config using arparse
log_config_file = helper.ARGUMENTS.logfile
# Configuring logging
helper.configure_logging(log_config_file)
# Plotting the Curves
solutions.digitize_plots(helper.ARGUMENTS.inputfile,
helper.ARGUMENTS.number, helper.ARGUMENTS.x_min,
helper.ARGUMENTS.x_max, helper.ARGUMENTS.y_min,
helper.ARGUMENTS.y_max)
def main():
"""
Main function to Find the Eigen Values and Eigen Vectors of given matrix
:return: Nothing
:rtype: None
"""
# Getting the path for logging config using arparse
log_config_file = helper.ARGUMENTS.logfile
# Configuring logging
helper.configure_logging(log_config_file)
# Extract the Input Vector from file
input_matrix = helper.get_complex_matrix_from_file(
helper.ARGUMENTS.inputfile)
solutions.find_eigen_value_vector(input_matrix)
def main():
"""
Main function to to get the input vectors and find dot product of them
:return: Nothing
:rtype: None
"""
# Getting the path for logging config using arparse
log_config_file = helper.ARGUMENTS.logfile
# Configuring logging
helper.configure_logging(log_config_file)
# Extract the Input Vectors from file
input_vectors = helper.get_matrix_from_file(helper.ARGUMENTS.inputfile)
# Finding the Dot Product of All Given Vectors
solutions.find_dot_product(input_vectors)
def main():
"""
Main function to to get the input data points and for Find the Knee of given curve
:return: Nothing
:rtype: None
"""
# Getting the path for logging config using arparse
log_config_file = helper.ARGUMENTS.logfile
# Configuring logging
helper.configure_logging(log_config_file)
# Extract the Input Vectors from file
input_vectors = helper.get_matrix_from_file(helper.ARGUMENTS.inputfile)
# Finding the Knee and Plotting it
solutions.plot_knee(input_vectors)
def main():
"""
Main function to
:return: Nothing
:rtype: None
"""
# Getting the path for logging config using arparse
log_config_file = helper.ARGUMENTS.logfile
# Configuring logging
helper.configure_logging(log_config_file)
# Extract the Input Vector from file
input_vector = helper.get_vector_from_file(helper.ARGUMENTS.inputfile)
# Finding the L1 Norm of given vector
solutions.find_l1_norm(input_vector)
# Finding the L2 Norm of given vector
solutions.find_l2_norm(input_vector)