randomdataset.fields package

Submodules

randomdataset.fields.basicfields module

class randomdataset.fields.basicfields.ASCIIFieldGen(name: str, lmin=5, lmax=10, rand_state: Optional[numpy.random.mtrand.RandomState] = None, shared_state_name=None)

Bases: randomdataset.fields.basicfields.StrFieldGen

CHARS = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127]

class randomdataset.fields.basicfields.AlphaNameGen(name: str, is_first_name=True, rand_state: Optional[numpy.random.mtrand.RandomState] = None, shared_state_name=None)

Bases: randomdataset.fields.fieldgen.FieldGen

first_names = ['Alice', 'Bob', 'Carol', 'Dan', 'Eve', 'Frank', 'Grace', 'Heidi', 'Ivan', 'Judy', 'Kylie', 'Laura', 'Mallory', 'Ned', 'Olivia', 'Peggy', 'Quin', 'Rupert', 'Sybil', 'Trudy', 'Uriel', 'Victor', 'Wendy', 'Xavier', 'Yan', 'Zoe']

generate(shape: Optional[Tuple[int, …]] = None)

Called by __call__, generate a single datum if shape is None, otherwise array of data with that shape.

last_names = ['Anon', 'Random', 'None', 'Null', 'Blargs', 'Bloggs', 'Bar', 'Thunk', 'Nobody', 'Nemo', 'Unknown']

class randomdataset.fields.basicfields.BoolFieldGen(name: str, as_string=False, rand_state: Optional[numpy.random.mtrand.RandomState] = None, shared_state_name=None)

Bases: randomdataset.fields.fieldgen.FieldGen

generate(shape: Optional[Tuple[int, …]] = None)

Called by __call__, generate a single datum if shape is None, otherwise array of data with that shape.

class randomdataset.fields.basicfields.DateTimeFieldGen(name: str, start_time: Optional[float] = None, end_time: Optional[float] = None, as_string: bool = False, rand_state: Optional[numpy.random.mtrand.RandomState] = None, ftimeformat: Optional[str] = None, timezone: Optional[datetime.timezone] = datetime.timezone.utc, shared_state_name=None)

Bases: randomdataset.fields.fieldgen.FieldGen

generate(shape: Optional[Tuple[int, …]] = None)

Called by __call__, generate a single datum if shape is None, otherwise array of data with that shape.

class randomdataset.fields.basicfields.FloatFieldGen(name: str, vmin: float = 0, vmax: float = 1.0, rand_state: Optional[numpy.random.mtrand.RandomState] = None, shared_state_name=None)

Bases: randomdataset.fields.fieldgen.FieldGen

generate(shape: Optional[Tuple[int, …]] = None)

Called by __call__, generate a single datum if shape is None, otherwise array of data with that shape.

class randomdataset.fields.basicfields.IntFieldGen(name: str, vmin: int = 0, vmax: int = 100, rand_state: Optional[numpy.random.mtrand.RandomState] = None, shared_state_name=None)

Bases: randomdataset.fields.fieldgen.FieldGen

generate(shape: Optional[Tuple[int, …]] = None)

Called by __call__, generate a single datum if shape is None, otherwise array of data with that shape.

class randomdataset.fields.basicfields.SetFieldGen(name: str, values: set, field_type: randomdataset.fields.fieldgen.FieldTypes, rand_state: Optional[numpy.random.mtrand.RandomState] = None, shared_state_name=None)

Bases: randomdataset.fields.fieldgen.FieldGen

generate(shape: Optional[Tuple[int, …]] = None)

Called by __call__, generate a single datum if shape is None, otherwise array of data with that shape.

class randomdataset.fields.basicfields.SharedDataGen(name, source_state_name, field_type: randomdataset.fields.fieldgen.FieldTypes, random_order=False, rand_state: Optional[numpy.random.mtrand.RandomState] = None)

Bases: randomdataset.fields.fieldgen.FieldGen

generate(shape: Optional[Tuple[int, …]] = None)

Called by __call__, generate a single datum if shape is None, otherwise array of data with that shape.

property parent

class randomdataset.fields.basicfields.StrFieldGen(name: str, lmin=5, lmax=10, rand_state: Optional[numpy.random.mtrand.RandomState] = None, shared_state_name=None)

Bases: randomdataset.fields.fieldgen.FieldGen

CHARS = [65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 48, 49, 50, 51, 52, 53, 54, 55, 56]

generate(shape: Optional[Tuple[int, …]] = None)

Called by __call__, generate a single datum if shape is None, otherwise array of data with that shape.

class randomdataset.fields.basicfields.UIDFieldGen(name: str, start_value: int = 0, rand_state: Optional[numpy.random.mtrand.RandomState] = None, shared_state_name=None)

Bases: randomdataset.fields.fieldgen.FieldGen

generate(shape: Optional[Tuple[int, …]] = None)

Called by __call__, generate a single datum if shape is None, otherwise array of data with that shape.

randomdataset.fields.fieldgen module

class randomdataset.fields.fieldgen.FieldGen(name: str, field_type: randomdataset.fields.fieldgen.FieldTypes, rand_state: Optional[numpy.random.mtrand.RandomState] = None, shared_state_name=None)

Bases: abc.ABC

Base class for generating field data. Inheriting classes will generate data corresponding to their field_type attribute, using the default random state R or the one passed through the constructor

Args:

name: name of the field field_type: type of data produced by the generator, or np.ndarray structures thereof rand_state: random state to generate data from shared_state_name: if provided, data is stored in the dataset when generated for sharing with other fields

R: numpy.random.mtrand.RandomState = RandomState(MT19937) at 0x7F8E52C155A0

append_shared_state(data)

abstract generate(shape: Optional[Tuple[int, …]] = None)

Called by __call__, generate a single datum if shape is None, otherwise array of data with that shape.

property parent

property shared_state_name

class randomdataset.fields.fieldgen.FieldTypes(value)

Bases: enum.Enum

Data types produced by FieldGen objects.

BOOL = ('bool', <class 'bool'>)

FLOAT = ('float', <class 'float'>)

INTEGER = ('int', <class 'int'>)

STRDATETIME = ('datetime', <class 'str'>)

STRING = ('string', <class 'str'>)

randomdataset.fields.fieldgen.OptRandStateType

The central part of internal API.

This represents a generic version of type ‘origin’ with type arguments ‘params’. There are two kind of these aliases: user defined and special. The special ones are wrappers around builtin collections and ABCs in collections.abc. These must have ‘name’ always set. If ‘inst’ is False, then the alias can’t be instantiated, this is used by e.g. typing.List and typing.Dict.

alias of Optional[numpy.random.mtrand.RandomState]

randomdataset.fields.fieldgen.OptShapeType

The central part of internal API.

This represents a generic version of type ‘origin’ with type arguments ‘params’. There are two kind of these aliases: user defined and special. The special ones are wrappers around builtin collections and ABCs in collections.abc. These must have ‘name’ always set. If ‘inst’ is False, then the alias can’t be instantiated, this is used by e.g. typing.List and typing.Dict.

alias of Optional[Tuple[int, …]]

Module contents