code stringlengths 3 6.57k |
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pytest.fixture() |
user_id() |
pytest.fixture() |
aggregate_id() |
pytest.fixture() |
report_id() |
pytest.fixture() |
test_url(app) |
fn(view) |
app.test_request_context() |
url_for(view, _external=True) |
pytest.fixture(scope='session') |
connection() |
os.getenv('MYSQL_HOST', '127.0.0.1') |
int(os.getenv('MYSQL_PORT', '3306') |
connection.commit() |
pytest.fixture() |
cursor(connection) |
connection.rollback() |
connection.cursor() |
pytest.fixture() |
dictcursor(connection) |
connection.rollback() |
connection.cursor(cursor=pymysql.cursors.DictCursor) |
pytest.fixture() |
role_id(cursor) |
BIN_TO_UUID(id, 1) |
cursor.fetchone() |
pytest.fixture() |
permission_id(cursor, role_id) |
BIN_TO_UUID(id, 1) |
UUID_TO_BIN(%s, 1) |
cursor.fetchone() |
pytest.fixture() |
permission_object_type(cursor, permission_id) |
UUID_TO_BIN(%s, 1) |
cursor.fetchone() |
pytest.fixture() |
pytest.fixture() |
site() |
pytest.fixture() |
site_with_modeling_params() |
pytest.fixture() |
observation() |
pytest.fixture() |
forecast() |
pytest.fixture() |
cdf_forecast() |
pytest.fixture() |
aggregate() |
pytest.fixture() |
report() |
search(directory, searchElem:list, extension = ".txt") |
glob.glob(directory+"*"+extension) |
open(file) |
sf.read() |
files_detected.append(file) |
warnings.filterwarnings("ignore") |
main() |
helpers.data_cleaning(data2019_raw) |
open("temp.csv", "w") |
file.write("date,state_county,AQI\n") |
list(data2019["state_county"].unique() |
list(data2019["state_county"].unique() |
print("---> Loading model for county {} ...".format(county) |
load_model(model_path) |
pickle.load(open(scaler_path, "rb") |
helpers.load_test_data(data_feature_temp["data"], mm_scaler) |
helpers.predict_point_by_point(model, x_test) |
helpers.plot_results(predictions, y_test) |
print("Predicting ....") |
np.append(x_test, predictions.reshape(1, 1, 1) |
reshape(1, 39) |
mm_scaler.inverse_transform(y_pred) |
file.write(predicted_date+","+county+","+str(y_scale) |
print(exp) |
file.close() |
pd.read_csv("temp.csv") |
df_result.to_csv("predicted_AQI" + predicted_date + ".csv", index=False) |
main() |
UserFlowLanguageConfiguration(Entity) |
display_name(self) |
self.properties.get("displayName", None) |
default_pages(self) |
ResourcePath("defaultPages", self.resource_path) |
overrides_pages(self) |
ResourcePath("overridesPages", self.resource_path) |
get_property(self, name, default_value=None) |
property_mapping.get(name, None) |
super(UserFlowLanguageConfiguration, self) |
get_property(name, default_value) |
SecretsCollection(root=root) |
get_files_to_scan(*paths, should_scan_all_files=should_scan_all_files, root=root) |
load(baseline: Dict[str, Any], filename: str = '') |
upgrade(baseline) |
configure_settings_from_baseline(baseline, filename=filename) |
SecretsCollection.load_from_baseline(baseline) |
load_from_file(filename: str) |
open(filename) |
cast(Dict[str, Any], json.loads(f.read() |
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