-
tensorstore_demo.Dim(
size: int | None,
label: str | None =None
,
*,
inclusive_min: int | None =None
,
implicit_lower: bool =False
,
implicit_upper: bool | None =None
) Constructs a sized interval
[inclusive_min, inclusive_min+size)
.- Parameters:¶
- size: int | None¶
Size of the interval.
- label: str | None =
None
¶ Dimension label.
- inclusive_min: int | None =
None
¶ Inclusive lower bound. Defaults to
0
.- implicit_lower: bool =
False
¶ Indicates whether the lower bound is implicit.
- implicit_upper: bool | None =
None
¶ Indicates whether the upper bound is implicit. Defaults to
False
ifsize
is specified, otherwiseTrue
.
Examples
>>> x = ts.Dim(10) >>> print(x) [0, 10) >>> print(ts.Dim(inclusive_min=5, size=10)) [5, 15)
Last update:
Dec 16, 2024