def __init__(self, username):
message = (
f"Username {username} doesn't have access to the given url. Please check your permissions "
"or make sure that the username provided in the url matches the one used during login or ."
)
super(HubException, self).__init__(message=message)
hub_reporter.error_report(self, tags=hub_tags)
def __init__(self):
message = (
"Unable to append to the dataset. "
"The provided directory is not empty and doesn't contain information about any Hub Dataset "
)
super(HubException, self).__init__(message=message)
hub_reporter.error_report(self, tags=hub_tags)
def __init__(self, response):
try:
message = response.json()["message"]
except (KeyError, AttributeError):
message = "You are not authorized to access this resource on Snark AI."
super().__init__(message=message)
hub_reporter.error_report(self, tags=hub_tags)
def __init__(self, response):
try:
message = "One or more request parameters is incorrect\n%s" % str(
response.json()["message"])
except (KeyError, AttributeError):
message = "One or more request parameters is incorrect, %s" % str(
response.content)
super().__init__(message=message)
hub_reporter.error_report(self, tags=hub_tags)
def __init__(self):
message = (
"Unable to overwrite the dataset. "
"The provided directory is not empty and doesn't contain information about any Hub Dataset. "
"This is a safety check so it won't be possible to overwrite (delete) any folder other than Dataset folder. "
"If this error persists in case of Dataset folder then it means your Dataset data is corrupted. "
"In that case feel free to create an issue in here https://github.com/activeloopai/Hub"
)
super(HubException, self).__init__(message=message)
hub_reporter.error_report(self, tags=hub_tags)
def __init__(self, exc_type):
if exc_type == "none":
message = "Parameter 'max_shape' shouldn't contain any 'None' value"
elif exc_type == "length":
message = "Lengths of 'shape' and 'max_shape' should be equal"
elif exc_type == "not_equal":
message = "All not-None values from 'shape' should be equal to the corresponding values in 'max_shape'"
else:
message = "Wrong 'shape' or 'max_shape' values"
super(HubException, self).__init__(message=message)
hub_reporter.error_report(self, tags=hub_tags)
def __init__(
self,
message="You are over the allowed limits for this operation. Consider upgrading your account.",
):
super().__init__(message=message)
hub_reporter.error_report(self, tags=hub_tags)
def __init__(self, message=""):
message = "Dask has been deprecated and made optional. Older versions of 0.x hub datasets require loading dask. Please install it: pip install 'dask[complete]>=2.30'"
super(HubException, self).__init__(message=message)
hub_reporter.error_report(self, tags=hub_tags)
def __init__(self, module_name):
message = f"Module '{module_name}' should be installed to convert the Dataset to the {module_name} format"
super(HubException, self).__init__(message=message)
hub_reporter.error_report(self, tags=hub_tags)
def __init__(self, message="Invalid response from Snark AI server."):
super().__init__(message=message)
hub_reporter.error_report(self, tags=hub_tags)
def __init__(self, message="Authentication failed. Please login again."):
super().__init__(message=message)
hub_reporter.error_report(self, tags=hub_tags)
def __init__(self, dst_url):
message = f"The destination url {dst_url} for copying dataset is not empty. Delete the directory manually or use Dataset.delete if it's a Hub dataset"
super(HubException, self).__init__(message=message)
hub_reporter.error_report(self, tags=hub_tags)
def __init__(self):
message = "Parameter 'schema' should be provided for Dataset creation."
super(HubException, self).__init__(message=message)
hub_reporter.error_report(self, tags=hub_tags)
def __init__(self, response):
message = f"The dataset with tag {response} was not found"
super(HubDatasetNotFoundException, self).__init__(message=message)
hub_reporter.error_report(self, tags=hub_tags)
def __init__(self, response):
message = f"No permision to store the dataset at {response}"
super(PermissionException, self).__init__(message=message)
hub_reporter.error_report(self, tags=hub_tags)
def __init__(self, message="Resource locked."):
super().__init__(message=message)
hub_reporter.error_report(self, tags=hub_tags)
def __init__(self, message="Timeout waiting for server state update."):
super().__init__(message=message)
hub_reporter.error_report(self, tags=hub_tags)
def __init__(self, message="Snark AI server took too long to respond."):
super().__init__(message=message)
hub_reporter.error_report(self, tags=hub_tags)
def __init__(
self,
message="The resource you are looking for was not found. Check if the name or id is correct.",
):
super().__init__(message=message)
hub_reporter.error_report(self, tags=hub_tags)
def __init__(self, address):
message = f"The address {address} does not refer to any existing branch or commit id. use create=True to create a new branch with this address"
super(HubException, self).__init__(message=message)
hub_reporter.error_report(self, tags=hub_tags)
def __init__(self):
message = "Unable to find dynamic tensor"
super(HubException, self).__init__(message=message)
hub_reporter.error_report(self, tags=hub_tags)
def __init__(self, param):
message = f"Parameter '{param}' should be provided"
super(HubException, self).__init__(message=message)
hub_reporter.error_report(self, tags=hub_tags)
def __init__(self):
message = "First argument to transform function should be iterable"
super(HubException, self).__init__(message=message)
hub_reporter.error_report(self, tags=hub_tags)
def __init__(self):
message = "Parameter 'shape' should be a tuple of length 1"
super(HubException, self).__init__(message=message)
hub_reporter.error_report(self, tags=hub_tags)
def __init__(self, correct_shape, wrong_shape):
message = f"parameter 'value': expected array with shape {correct_shape}, got {wrong_shape}"
super(HubException, self).__init__(message=message)
hub_reporter.error_report(self, tags=hub_tags)
def __init__(self, message="Internal Snark AI server error."):
super().__init__(message=message)
hub_reporter.error_report(self, tags=hub_tags)