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)