class PyOpenMLError(Exception):

def __init__(self, message: str):

self.message = message

super().__init__(message)

class OpenMLServerError(PyOpenMLError):

"""class for when something is really wrong on the server

(result did not parse to dict), contains unparsed error."""

def __init__(self, message: str):

super().__init__(message)

class OpenMLServerException(OpenMLServerError):

"""exception for when the result of the server was

not 200 (e.g., listing call w/o results). """

# Code needs to be optional to allow the exceptino to be picklable:

# https://stackoverflow.com/questions/16244923/how-to-make-a-custom-exception-class-with-multiple-init-args-pickleable # noqa: E501

def __init__(self, message: str, code: str = None, additional: str = None, url: str = None):

self.message = message

self.code = code

self.additional = additional

self.url = url

super().__init__(message)

def __repr__(self):

return '%s returned code %s: %s' % (

self.url, self.code, self.message,

)

class OpenMLServerNoResult(OpenMLServerException):

"""exception for when the result of the server is empty. """

pass

class OpenMLCacheException(PyOpenMLError):

"""Dataset / task etc not found in cache"""

def __init__(self, message: str):

super().__init__(message)

class OpenMLHashException(PyOpenMLError):

"""Locally computed hash is different than hash announced by the server."""

pass

class OpenMLPrivateDatasetError(PyOpenMLError):

""" Exception thrown when the user has no rights to access the dataset. """

def __init__(self, message: str):

super().__init__(message)

class OpenMLRunsExistError(PyOpenMLError):

""" Indicates run(s) already exists on the server when they should not be duplicated. """

def __init__(self, run_ids: set, message: str):

if len(run_ids) < 1:

raise ValueError("Set of run ids must be non-empty.")

self.run_ids = run_ids

super().__init__(message)