def test_scenario17(self):
"""
Scenario: Successfully building a dataset reify output in python when built from a batch centroid
Given I create a BigML dataset from a batch centroid from a cluster with data "<data>" and params "<params>"
And I check that the source has been created
And I check that the dataset has been created
And I check that the cluster has been created
And I check that the batch centroid has been created
And I check that the batch centroid dataset has been created
Then I create a reify output in "<output>" for "<language>"
And the "<output>" file is like "<check_file>"
Examples:
| data | output | params |check_file | language
| data/iris.csv | scenario_re17/reify.py | {"name": "my_dataset_from_batch_centroid_name"}|../check_files/reify_batch_centroid_dataset.py | python
"""
print self.test_scenario17.__doc__
examples = [
['data/iris.csv', 'scenario_re17/reify.py', {"name": "my_dataset_from_batch_centroid_name"}, 'check_files/reify_batch_centroid_dataset.py', 'python']]
for example in examples:
print "\nTesting with:\n", example
test_reify.create_dataset_from_batch_centroid(example[0],
output=example[1],
args=example[2])
test_reify.i_create_output(
self, example[1], example[4],
resource_type='batch_centroid_dataset')
test_reify.i_check_output_file(self, output=example[1],
check_file=example[3])
def test_scenario17(self):
"""
Scenario: Successfully building a dataset reify output in python when built from a batch centroid
Given I create a BigML dataset from a batch centroid from a cluster with data "<data>" and params "<params>"
And I check that the source has been created
And I check that the dataset has been created
And I check that the cluster has been created
And I check that the batch centroid has been created
And I check that the batch centroid dataset has been created
Then I create a reify output in "<output>" for "<language>"
And the "<output>" file is like "<check_file>"
Examples:
| data | output | params |check_file | language
| data/iris.csv | scenario_re17/reify.py | {"name": "my_dataset_from_batch_centroid_name"}|../check_files/reify_batch_centroid_dataset.py | python
"""
print self.test_scenario17.__doc__
examples = [
['data/iris.csv', 'scenario_re17/reify.py', {"name": "my_dataset_from_batch_centroid_name"}, 'check_files/reify_batch_centroid_dataset.py', 'python']]
for example in examples:
print "\nTesting with:\n", example
test_reify.create_dataset_from_batch_centroid(example[0],
output=example[1],
args=example[2])
test_reify.i_create_output(
self, example[1], example[4],
resource_type='batch_centroid_dataset')
test_reify.i_check_output_file(self, output=example[1],
check_file=example[3])