def test_scenario6(self):
"""
Scenario: Successfully exporting fields summary from a dataset
Given I create a BigML dataset from "<data>" and a summary file "<summary_file>" for its fields and store logs in "<output_dir>"
And I check that the source has been created
And I check that the dataset has been created
Then the expected field "<expected_file>" is like "<summary_file>"
Examples:
|data |output_dir | summary_file | expected_file
|../data/iris.csv | ./scenario_d_6 | fields_summary.csv | check_files/fields_summary.csv
"""
print self.test_scenario6.__doc__
examples = [[
'data/iris.csv', 'scenario_d_6', 'fields_summary.csv',
'check_files/fields_summary.csv'
]]
for example in examples:
print "\nTesting with:\n", example
dataset_adv.i_create_dataset_with_summary(self,
data=example[0],
summary_file=example[2],
output_dir=example[1])
test_pred.i_check_create_source(self)
test_pred.i_check_create_dataset(self, suffix=None)
dataset_adv.i_files_equal(self, example[2], example[3])
def test_scenario6(self):
"""
Scenario: Successfully exporting fields summary from a dataset
Given I create a BigML dataset from "<data>" and a summary file "<summary_file>" for its fields and store logs in "<output_dir>"
And I check that the source has been created
And I check that the dataset has been created
Then the expected field "<expected_file>" is like "<summary_file>"
Examples:
|data |output_dir | summary_file | expected_file
|../data/iris.csv | ./scenario_d_6 | fields_summary.csv | check_files/fields_summary.csv
"""
print self.test_scenario6.__doc__
examples = [
['data/iris.csv', 'scenario_d_6', 'fields_summary.csv', 'check_files/fields_summary.csv']]
for example in examples:
print "\nTesting with:\n", example
dataset_adv.i_create_dataset_with_summary(self, data=example[0], summary_file=example[2], output_dir=example[1])
test_pred.i_check_create_source(self)
test_pred.i_check_create_dataset(self, suffix=None)
dataset_adv.i_files_equal(self, example[2], example[3])
def test_scenario3(self):
"""
Scenario: Successfully exporting a dataset to a CSV file
Given I create a BigML dataset from "<data>" and store logs in "<output_dir>"
And I check that the source has been created
And I check that the dataset has been created
And I export the dataset to the CSV file "<csv_file>"
Then file "<csv_file>" is like file "<data>"
Examples:
|data |output_dir |csv_file |
|../data/iris.csv | ./scenario_d_3 |dataset.csv
"""
print self.test_scenario3.__doc__
examples = [["data/iris.csv", "scenario_d_3", "dataset.csv"]]
for example in examples:
print "\nTesting with:\n", example
dataset_adv.i_create_dataset(self, data=example[0], output_dir=example[1])
test_pred.i_check_create_source(self)
test_pred.i_check_create_dataset(self, suffix=None)
dataset_adv.i_export_the_dataset(self, example[2])
dataset_adv.i_files_equal(self, example[2], example[0])
def test_scenario3(self):
"""
Scenario: Successfully exporting a dataset to a CSV file
Given I create a BigML dataset from "<data>" and store logs in "<output_dir>"
And I check that the source has been created
And I check that the dataset has been created
And I export the dataset to the CSV file "<csv_file>"
Then file "<csv_file>" is like file "<data>"
Examples:
|data |output_dir |csv_file |
|../data/iris.csv | ./scenario_d_3 |dataset.csv
"""
print self.test_scenario3.__doc__
examples = [
['data/iris.csv', 'scenario_d_3', 'dataset.csv']]
for example in examples:
print "\nTesting with:\n", example
dataset_adv.i_create_dataset(self, data=example[0], output_dir=example[1])
test_pred.i_check_create_source(self)
test_pred.i_check_create_dataset(self, suffix=None)
dataset_adv.i_export_the_dataset(self, example[2])
dataset_adv.i_files_equal(self, example[2], example[0])
