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public static var tensorFlowDataType: TensorDataType { get }

public typealias TangentVector = Float

public mutating mutating func move(along direction: TangentVector)

public var zeroTangentVectorInitializer: () -> TangentVector { get }

public typealias VectorSpaceScalar = Float

public func adding(_ x: Float) -> Float

public mutating mutating func add(_ x: Float)

public func subtracting(_ x: Float) -> Float

public mutating mutating func subtract(_ x: Float)

public func scaled(by scalar: Float) -> Float

public mutating mutating func scale(by scalar: Float)

@_alwaysEmitIntoClient
public static func sqrt(_ x: Float) -> Float

@_alwaysEmitIntoClient
public static func cos(_ x: Float) -> Float

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public static func sin(_ x: Float) -> Float

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public static func tan(_ x: Float) -> Float

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public static func acos(_ x: Float) -> Float

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public static func asin(_ x: Float) -> Float

@_alwaysEmitIntoClient
public static func atan(_ x: Float) -> Float

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public static func cosh(_ x: Float) -> Float

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public static func sinh(_ x: Float) -> Float

@_alwaysEmitIntoClient
public static func tanh(_ x: Float) -> Float

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public static func acosh(_ x: Float) -> Float

@_alwaysEmitIntoClient
public static func asinh(_ x: Float) -> Float

@_alwaysEmitIntoClient
public static func atanh(_ x: Float) -> Float

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public static func exp(_ x: Float) -> Float

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public static func exp2(_ x: Float) -> Float

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public static func exp10(_ x: Float) -> Float

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public static func expm1(_ x: Float) -> Float

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public static func log(_ x: Float) -> Float

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public static func log2(_ x: Float) -> Float

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public static func log10(_ x: Float) -> Float

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public static func log1p(_ x: Float) -> Float

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public static func erf(_ x: Float) -> Float

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public static func erfc(_ x: Float) -> Float

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public static func hypot(_ x: Float, _ y: Float) -> Float

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public static func gamma(_ x: Float) -> Float

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public static func pow(_ x: Float, _ y: Float) -> Float

@_alwaysEmitIntoClient
public static func pow(_ x: Float, _ n: Int) -> Float

@_alwaysEmitIntoClient
public static func root(_ x: Float, _ n: Int) -> Float

@_alwaysEmitIntoClient
public static func atan2(_ y: Float, _ x: Float) -> Float

@_alwaysEmitIntoClient
public static func logGamma(_ x: Float) -> Float

@_alwaysEmitIntoClient
public static func signGamma(_ x: Float) -> FloatingPointSign

public static let numpyScalarTypes: [PythonObject]

public static var ctype: PythonObject { get }

public init?(_ pythonObject: PythonObject)

public var pythonObject: PythonObject { get }

public var xlaScalarWrapper: XLAScalarWrapper { get }

public static var xlaTensorScalarTypeRawValue: UInt32 { get }