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)
