tfds.core.SplitDict

View source on GitHub

Split info object.

tfds.core.SplitDict(
    dataset_name
)

Attributes
total_num_examples	Return the total number of examples.

Methods

add

View source

add(
    split_info
)

Add the split info.

clear

clear()

D.clear() -> None. Remove all items from D.

copy

View source

copy()

D.copy() -> a shallow copy of D

from_proto

View source

@classmethod
from_proto(
    dataset_name, repeated_split_infos
)

Returns a new SplitDict initialized from the repeated_split_infos.

fromkeys

fromkeys(
    iterable, value, /
)

Returns a new dict with keys from iterable and values equal to value.

get

get()

D.get(k[,d]) -> D[k] if k in D, else d. d defaults to None.

items

items()

D.items() -> a set-like object providing a view on D's items

keys

keys()

D.keys() -> a set-like object providing a view on D's keys

pop

pop()

D.pop(k[,d]) -> v, remove specified key and return the corresponding value. If key is not found, d is returned if given, otherwise KeyError is raised

popitem

popitem()

D.popitem() -> (k, v), remove and return some (key, value) pair as a 2-tuple; but raise KeyError if D is empty.

setdefault

setdefault()

D.setdefault(k[,d]) -> D.get(k,d), also set D[k]=d if k not in D

to_proto

View source

to_proto()

Returns a list of SplitInfo protos that we have.

update

View source

update(
    other
)

D.update([E, ]**F) -> None. Update D from dict/iterable E and F. If E is present and has a .keys() method, then does: for k in E: D[k] = E[k] If E is present and lacks a .keys() method, then does: for k, v in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k]

values

values()

D.values() -> an object providing a view on D's values

__contains__

__contains__(
    key, /
)

True if D has a key k, else False.

__eq__

__eq__(
    value, /
)

Return self==value.

__ge__

__ge__(
    value, /
)

Return self>=value.

__getitem__

View source

__getitem__(
    key
)

x.getitem(y) <==> x[y]

__gt__

__gt__(
    value, /
)

Return self>value.

__iter__

__iter__()

Implement iter(self).

__le__

__le__(
    value, /
)

Return self<=value.

__len__

__len__()

Return len(self).

__lt__

__lt__(
    value, /
)

Return self<value.

__ne__

__ne__(
    value, /
)

Return self!=value.