def test_scenario2(self):
"""
Scenario: Successfully creating a single dataset multi-dataset:
Given I create a data source with "<params>" uploading a "<data>" file
And I wait until the source is ready less than <time_1> secs
And I create a dataset
And I wait until the dataset is ready less than <time_2> secs
And I create a multi-dataset with sample rates <rates>
And I wait until the multi-dataset is ready less than <time_3> secs
When I compare the datasets' instances
Then the proportion of instances between datasets is <rate>
Examples:
| data | time_1 | time_2 | time_3 | rate |rates
| ../data/iris.csv | 10 | 10 | 10 | 0.2 |[0.2]
"""
print self.test_scenario2.__doc__
examples = [['data/iris.csv', '10', '10', '10', '0.2', '[0.2]']]
for example in examples:
print "\nTesting with:\n", example
source_create.i_upload_a_file_with_args(self, example[0], '{}')
source_create.the_source_is_finished(self, example[1])
dataset_create.i_create_a_dataset(self)
dataset_create.the_dataset_is_finished_in_less_than(
self, example[2])
dataset_create.i_create_a_multidataset(self, example[5])
dataset_create.the_dataset_is_finished_in_less_than(
self, example[3])
dataset_create.i_compare_datasets_instances(self)
dataset_create.proportion_datasets_instances(self, example[4])
def test_scenario1(self):
"""
Scenario: Successfully creating a split dataset:
Given I create a data source uploading a "<data>" file
And I wait until the source is ready less than <time_1> secs
And I create a dataset
And I wait until the dataset is ready less than <time_2> secs
And I create a dataset extracting a <rate> sample
And I wait until the dataset is ready less than <time_3> secs
When I compare the datasets' instances
Then the proportion of instances between datasets is <rate>
Examples:
| data | time_1 | time_2 | time_3 | rate |
| ../data/iris.csv | 10 | 10 | 10 | 0.8 |
"""
print self.test_scenario1.__doc__
examples = [
['data/iris.csv', '10', '10', '10', '0.8']]
for example in examples:
print "\nTesting with:\n", example
source_create.i_upload_a_file(self, example[0])
source_create.the_source_is_finished(self, example[1])
dataset_create.i_create_a_dataset(self)
dataset_create.the_dataset_is_finished_in_less_than(self,
example[2])
dataset_create.i_create_a_split_dataset(self, example[4])
dataset_create.the_dataset_is_finished_in_less_than(self,
example[3])
dataset_create.i_compare_datasets_instances(self)
dataset_create.proportion_datasets_instances(self, example[4])
def test_scenario1(self):
"""
Scenario: Successfully creating a split dataset:
Given I create a data source uploading a "<data>" file
And I wait until the source is ready less than <time_1> secs
And I create a dataset
And I wait until the dataset is ready less than <time_2> secs
And I create a dataset extracting a <rate> sample
And I wait until the dataset is ready less than <time_3> secs
When I compare the datasets' instances
Then the proportion of instances between datasets is <rate>
Examples:
| data | time_1 | time_2 | time_3 | rate |
| ../data/iris.csv | 10 | 10 | 10 | 0.8 |
"""
print self.test_scenario1.__doc__
examples = [['data/iris.csv', '10', '10', '10', '0.8']]
for example in examples:
print "\nTesting with:\n", example
source_create.i_upload_a_file(self, example[0])
source_create.the_source_is_finished(self, example[1])
dataset_create.i_create_a_dataset(self)
dataset_create.the_dataset_is_finished_in_less_than(
self, example[2])
dataset_create.i_create_a_split_dataset(self, example[4])
dataset_create.the_dataset_is_finished_in_less_than(
self, example[3])
dataset_create.i_compare_datasets_instances(self)
dataset_create.proportion_datasets_instances(self, example[4])
def test_scenario2(self):
"""
Scenario: Successfully creating a single dataset multi-dataset:
Given I create a data source with "<params>" uploading a "<data>" file
And I wait until the source is ready less than <time_1> secs
And I create a dataset
And I wait until the dataset is ready less than <time_2> secs
And I create a multi-dataset with sample rates <rates>
And I wait until the multi-dataset is ready less than <time_3> secs
When I compare the datasets' instances
Then the proportion of instances between datasets is <rate>
Examples:
| data | time_1 | time_2 | time_3 | rate |rates
| ../data/iris.csv | 10 | 10 | 10 | 0.2 |[0.2]
"""
print self.test_scenario2.__doc__
examples = [
['data/iris.csv', '10', '10', '10', '0.2', '[0.2]']]
for example in examples:
print "\nTesting with:\n", example
source_create.i_upload_a_file_with_args(self, example[0], '{}')
source_create.the_source_is_finished(self, example[1])
dataset_create.i_create_a_dataset(self)
dataset_create.the_dataset_is_finished_in_less_than(self,
example[2])
dataset_create.i_create_a_multidataset(self, example[5])
dataset_create.the_dataset_is_finished_in_less_than(self,
example[3])
dataset_create.i_compare_datasets_instances(self)
dataset_create.proportion_datasets_instances(self, example[4])