def test_scenario2(self):
"""
Scenario: Successfully building a new sample from a dataset
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
Then I create a new sample from the dataset and get the sample using options "<sample_options>" storing logs in "<output_dir>"
And I check that the sample has been created
And the sample JSON is like the one in "<sample_JSON_file>"
Examples:
|data |output_dir |sample_options | sample_JSON
|../data/iris.csv | ./scenario_smp_4 | --stat-field "petal length"| ./check_files/stat_info.json
"""
print self.test_scenario2.__doc__
examples = [
['data/iris.csv', 'scenario_smp_4', '--stat-field "petal length"', 'check_files/stat_info.json']]
for example in examples:
print "\nTesting with:\n", example
dataset.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)
test_sample.i_create_sample(self, options=example[2], output_dir=example[1])
test_sample.i_check_create_sample(self)
test_sample.i_check_sample_json(self, check_sample_file=example[3])
def test_scenario1(self):
"""
Scenario: Successfully building a new sample from a dataset
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
Then I create a new sample from the dataset and get the sample using options "<sample_options>" storing logs in "<output_dir>"
And I check that the sample has been created
And the sample file is like "<sample_CSV>"
Examples:
|data |output_dir |sample_options | sample_CSV
|../data/iris.csv | ./scenario_smp_1 | --occurrence --sample-header --row-index | ./check_files/sample_iris.csv
|../data/iris.csv | ./scenario_smp_2 | --precision 0 --rows 10 --row-offset 10 --unique | ./check_files/sample_iris2.csv
|../data/iris.csv | ./scenario_smp_3 | --row-order-by="-petal length" --row-fields "petal length,petal width" --mode linear | ./check_files/sample_iris3.csv
"""
print self.test_scenario1.__doc__
examples = [
['data/iris.csv', 'scenario_smp_1', '--occurrence --sample-header --row-index', 'check_files/sample_iris.csv'],
['data/iris.csv', 'scenario_smp_2', '--precision 0 --rows 10 --row-offset 10 --unique', 'check_files/sample_iris2.csv'],
['data/iris.csv', 'scenario_smp_3', '--row-order-by="-petal length" --row-fields "petal length,petal width" --mode linear', 'check_files/sample_iris3.csv']]
for example in examples:
print "\nTesting with:\n", example
dataset.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)
test_sample.i_create_sample(self, options=example[2], output_dir=example[1])
test_sample.i_check_create_sample(self)
test_sample.i_check_sample_file(self, check_sample_file=example[3])
def test_scenario2(self):
"""
Scenario: Successfully building a new sample from a dataset
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
Then I create a new sample from the dataset and get the sample using options "<sample_options>" storing logs in "<output_dir>"
And I check that the sample has been created
And the sample JSON is like the one in "<sample_JSON_file>"
Examples:
|data |output_dir |sample_options | sample_JSON
|../data/iris.csv | ./scenario_smp_4 | --stat-field "petal length"| ./check_files/stat_info.json
"""
print self.test_scenario2.__doc__
examples = [[
'data/iris.csv', 'scenario_smp_4', '--stat-field "petal length"',
'check_files/stat_info.json'
]]
for example in examples:
print "\nTesting with:\n", example
dataset.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)
test_sample.i_create_sample(self,
options=example[2],
output_dir=example[1])
test_sample.i_check_create_sample(self)
test_sample.i_check_sample_json(self, check_sample_file=example[3])
def test_scenario1(self):
"""
Scenario: Successfully building a new sample from a dataset
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
Then I create a new sample from the dataset and get the sample using options "<sample_options>" storing logs in "<output_dir>"
And I check that the sample has been created
And the sample file is like "<sample_CSV>"
Examples:
|data |output_dir |sample_options | sample_CSV
|../data/iris.csv | ./scenario_smp_1 | --occurrence --sample-header --row-index | ./check_files/sample_iris.csv
|../data/iris.csv | ./scenario_smp_2 | --precision 0 --rows 10 --row-offset 10 --unique | ./check_files/sample_iris2.csv
|../data/iris.csv | ./scenario_smp_3 | --row-order-by="-petal length" --row-fields "petal length,petal width" --mode linear | ./check_files/sample_iris3.csv
"""
print self.test_scenario1.__doc__
examples = [
[
'data/iris.csv', 'scenario_smp_1',
'--occurrence --sample-header --row-index',
'check_files/sample_iris.csv'
],
[
'data/iris.csv', 'scenario_smp_2',
'--precision 0 --rows 10 --row-offset 10 --unique',
'check_files/sample_iris2.csv'
],
[
'data/iris.csv', 'scenario_smp_3',
'--row-order-by="-petal length" --row-fields "petal length,petal width" --mode linear',
'check_files/sample_iris3.csv'
]
]
for example in examples:
print "\nTesting with:\n", example
dataset.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)
test_sample.i_create_sample(self,
options=example[2],
output_dir=example[1])
test_sample.i_check_create_sample(self)
test_sample.i_check_sample_file(self, check_sample_file=example[3])
