import sys

from SALib.analyze import delta
from SALib.util import read_param_file
import numpy as np


sys.path.append('../..')


# Read the parameter range file and generate samples
# Since this is "given data", the bounds in the parameter file will not be used
# but the columns are still expected
problem = read_param_file('../../src/SALib/test_functions/params/Ishigami.txt')
X = np.loadtxt('model_input.txt')
Y = np.loadtxt('model_output.txt')

# Perform the sensitivity analysis using the model output
# Specify which column of the output file to analyze (zero-indexed)
Si = delta.analyze(problem, X, Y, num_resamples=10, conf_level=0.95, print_to_console=False)
# Returns a dictionary with keys 'delta', 'delta_conf', 'S1', 'S1_conf'
print(str(Si['delta']))

import sys

from SALib.analyze import delta
from SALib.util import read_param_file
import numpy as np


sys.path.append('../..')


# Read the parameter range file and generate samples
# Since this is "given data", the bounds in the parameter file will not be used
# but the columns are still expected
problem = read_param_file('../../src/SALib/test_functions/params/Ishigami.txt')
X = np.loadtxt('../data/model_input.txt')
Y = np.loadtxt('../data/model_output.txt')

# Perform the sensitivity analysis using the model output
# Specify which column of the output file to analyze (zero-indexed)
Si = delta.analyze(problem, X, Y, num_resamples=10, conf_level=0.95, print_to_console=False)
# Returns a dictionary with keys 'delta', 'delta_conf', 'S1', 'S1_conf'
print(str(Si['delta']))

Fix up example with corrected path
Fix up example with corrected path


  import sys
  
  from SALib.analyze import delta
  from SALib.util import read_param_file
  import numpy as np
  
  
  sys.path.append('../..')
  
  
  # Read the parameter range file and generate samples
  # Since this is "given data", the bounds in the parameter file will not be used
  # but the columns are still expected
  problem = read_param_file('../../src/SALib/test_functions/params/Ishigami.txt')
- X = np.loadtxt('model_input.txt')
+ X = np.loadtxt('../data/model_input.txt')
- Y = np.loadtxt('model_output.txt')
+ Y = np.loadtxt('../data/model_output.txt')
  
  # Perform the sensitivity analysis using the model output
  # Specify which column of the output file to analyze (zero-indexed)
  Si = delta.analyze(problem, X, Y, num_resamples=10, conf_level=0.95, print_to_console=False)
  # Returns a dictionary with keys 'delta', 'delta_conf', 'S1', 'S1_conf'
  print(str(Si['delta']))
  
Fix up example with corrected path
## Code Before:
import sys

from SALib.analyze import delta
from SALib.util import read_param_file
import numpy as np


sys.path.append('../..')


# Read the parameter range file and generate samples
# Since this is "given data", the bounds in the parameter file will not be used
# but the columns are still expected
problem = read_param_file('../../src/SALib/test_functions/params/Ishigami.txt')
X = np.loadtxt('model_input.txt')
Y = np.loadtxt('model_output.txt')

# Perform the sensitivity analysis using the model output
# Specify which column of the output file to analyze (zero-indexed)
Si = delta.analyze(problem, X, Y, num_resamples=10, conf_level=0.95, print_to_console=False)
# Returns a dictionary with keys 'delta', 'delta_conf', 'S1', 'S1_conf'
print(str(Si['delta']))

## Instruction:
Fix up example with corrected path
## Code After:
import sys

from SALib.analyze import delta
from SALib.util import read_param_file
import numpy as np


sys.path.append('../..')


# Read the parameter range file and generate samples
# Since this is "given data", the bounds in the parameter file will not be used
# but the columns are still expected
problem = read_param_file('../../src/SALib/test_functions/params/Ishigami.txt')
X = np.loadtxt('../data/model_input.txt')
Y = np.loadtxt('../data/model_output.txt')

# Perform the sensitivity analysis using the model output
# Specify which column of the output file to analyze (zero-indexed)
Si = delta.analyze(problem, X, Y, num_resamples=10, conf_level=0.95, print_to_console=False)
# Returns a dictionary with keys 'delta', 'delta_conf', 'S1', 'S1_conf'
print(str(Si['delta']))
