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37 lines
1.6 KiB
Python
37 lines
1.6 KiB
Python
.NDArray = 'ndarray': (T: Type, Shape: [Nat; _]) -> ClassType
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.NDArray(T, _) <: Output T
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.NDArray(_, _) <: Num
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.NDArray(T, S)|<: Add .NDArray(T, S)|.
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Output: {.NDArray(T, S)}
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__add__: (self: .NDArray(T, S), other: .NDArray(T, S)) -> .NDArray(T, S)
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.NDArray.
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shape: [Nat; _]
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ndim: Nat
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dtype: Type
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size: Nat
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reshape: |T, Old: [Nat; _], S: [Nat; _]|(
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self: .NDArray(T, Old),
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shape: {S},
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) -> .NDArray(T, S)
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.nan: Float
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.Nan: Float
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.abs: |T|(object: .NDArray(T),) -> .NDArray(T)
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.add: |T, S: [Nat; _]|(object: .NDArray(T, S), other: .NDArray(T, S)) -> .NDArray(T, S)
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.all: |T <: Num|(object: .NDArray(T),) -> Bool
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.any: |T <: Num|(object: .NDArray(T),) -> Bool
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.arange: |T <: Num|(start: T, stop := T, step := T) -> .NDArray(T)
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.array: |T, S: [Nat; _]|(object: Iterable(T) and Shape(S),) -> .NDArray(T, S)
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.linspace: |T <: Num|(start: T, stop: T, num := Nat, endpoint := Bool, retstep := Bool, dtype := Type, axis := Nat) -> .NDArray(T)
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.max: |T <: Num|(object: .NDArray(T),) -> T
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.mean: |T <: Num|(object: .NDArray(T),) -> T
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.min: |T <: Num|(object: .NDArray(T),) -> T
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.ones: |T|(shape: Nat or [Nat; _], dtype := Type) -> .NDArray(T)
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.reshapce: |T|(object: .NDArray(T), shape: [Nat; _]) -> .NDArray(T)
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.std: |T <: Num|(object: .NDArray(T),) -> T
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.sum: |T|(object: .NDArray(T),) -> T
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.sqrt: |T|(object: .NDArray(T),) -> .NDArray(T)
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.transpose: |T|(object: .NDArray(T), axes := [Nat; _]) -> .NDArray(T)
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.zeros: (|N: Nat|(shape: {N}, dtype := Type) -> .NDArray(Nat, [N])) \
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and (|S: [Nat; _]|(shape: {S}, dtype := Type) -> .NDArray(Nat, S))
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