def submit(args): filenames = ['solution.py', 'README.md'] udacity.submit(nanodegree, projects[0], filenames, environment=args.environment, jwt_path=args.jwt_path)
def submit(options): if len(options.args) == 0 or options.args[0] not in projects: raise RuntimeError("You must specifiy 'isolation' or 'isolation-pvp' after 'udacity submit'.") project_name = options.args[0] if project_name == 'isolation-pvp': require_confirmation(RESUBMIT_MSG) patterns = SETTINGS.get(project_name, {}) if not patterns: raise RuntimeError("") required_files = [validate_file_info(ptn, **kwargs) for ptn, kwargs in patterns.get("required", {}).items()] optional_files = [validate_file_info(ptn, lo=0, **kwargs) for ptn, kwargs in patterns.get("optional", {}).items()] filenames = sum(required_files + optional_files, []) file_info = (list(patterns.get("required", {}).values()) + list(patterns.get("optional", {}).values())) max_size = sum([dict(info).get("size", 0) for info in file_info]) * 2**20 udacity.submit(nanodegree, project_name, filenames, environment = options.environment, max_zip_size=max_size)
def submit(options): project_name = options.args[0] if project_name == 'isolation-pvp': require_confirmation(RESUBMIT_MSG) patterns = SETTINGS.get(project_name, {}) if not patterns: raise RuntimeError("") required_files = [ validate_file_info(ptn, **kwargs) for ptn, kwargs in patterns.get("required", {}).items() ] optional_files = [ validate_file_info(ptn, lo=0, **kwargs) for ptn, kwargs in patterns.get("optional", {}).items() ] filenames = sum(required_files + optional_files, []) file_info = (list(patterns.get("required", {}).values()) + list(patterns.get("optional", {}).values())) max_size = sum([dict(info).get("size", 0) for info in file_info]) * 2**20 udacity.submit(nanodegree, project_name, filenames, environment=options.environment, max_zip_size=max_size)
def submit(args): # Do we prefer ipynb, html or both? # sp.call(['jupyter', 'nbconvert', '--to', 'html', 'dlnd_image_classification.ipynb']) udacity.submit(nanodegree, projects[0], filenames, environment = args.environment, jwt_path = args.jwt_path)
def submit(args): # Do we prefer ipynb, html or both? # sp.call(['jupyter', 'nbconvert', '--to', 'html', 'dlnd_image_classification.ipynb']) udacity.submit(nanodegree, projects[0], filenames, environment = args.environment, jwt_path = args.jwt_path)
def submit(args): sp.call(['jupyter', 'nbconvert', '--to', 'html', 'RNN_project.ipynb']) udacity.submit(nanodegree, projects[0], filenames, environment=args.environment, jwt_path=args.jwt_path)
def submit(args): filenames = [] for filename in filenames_all: if os.path.isfile(filename): filenames.append(filename) udacity.submit(nanodegree, projects[0], filenames, environment = args.environment, jwt_path = args.jwt_path)
def submit(args): filenames = [] for filename in filenames_all: if os.path.isfile(filename): filenames.append(filename) udacity.submit(nanodegree, projects[0], filenames, environment=args.environment, jwt_path=args.jwt_path)
def submit(args): # Do we prefer ipynb, html or both? # sp.call(['jupyter', 'nbconvert', '--to', 'html', 'dlnd_image_classification.ipynb']) jwt_path = "D:\Projects\data_analysis\Projects\deep learning\deep-learning-v2-pytorch\project-bikesharing\.udacity-pa\jwt" udacity.submit( nanodegree, projects[0], filenames, environment=args.environment, # jwt_path = args.jwt_path) jwt_path=jwt_path)
def submit(args): filenames = [] for filename in filenames_all: if os.path.isfile(filename): filenames.append(filename) udacity.submit( nanodegree, projects[0], filenames, environment=args.environment, jwt_path= '/Users/naderk/Documents/Projects/AIND-planning/.udacity-pa/jwt')
def submit(args): filenames = [] for filename in filenames_all: if os.path.isfile(filename): filenames.append(filename) if 'my_planning_graph.py' not in filenames: raise RuntimeError( "The file 'my_planning_graph.py' was not found in your current directory. This " + "file MUST be included in every PA submission.") if 'report.pdf' not in filenames: print( "WARNING: Make sure your submission includes a file named 'report.pdf' if you " + "expect this to be your final submission in the classroom for review.") udacity.submit(nanodegree, projects[0], filenames, environment = args.environment, jwt_path = args.jwt_path)
def submit(args): filenames = ['solution.py', 'README.md'] udacity.submit(nanodegree, projects[0], filenames, environment = args.environment, jwt_path = "/Users/naderkutub/nkconsultingGD/udacity/AIND/sudoku/AIND-Sudoku/.udacity-pa/jwt")
def submit(args): filenames = ['solution.py', 'README.md'] udacity.submit(nanodegree, projects[0], filenames, environment = args.environment, jwt_path = args.jwt_path)
def submit(args): filenames = ['asl_recognizer.ipynb', 'asl_recognizer.html','my_model_selectors.py','my_recognizer.py'] udacity.submit(nanodegree, projects[0], filenames, environment = args.environment, jwt_path = args.jwt_path)