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// Copyright (c) 2019 by the SciSharp Team
// Code generated by CodeMinion: https://github.com/SciSharp/CodeMinion
using System;
using System.Collections;
using System.Collections.Generic;
using System.IO;
using System.Linq;
using System.Runtime.InteropServices;
using System.Text;
using Python.Runtime;
using Python.Included;
using Numpy.Models;
namespace Numpy
{
public static partial class np
{
/// <summary>
/// Trigonometric sine, element-wise.
///
/// Notes
///
/// The sine is one of the fundamental functions of trigonometry (the
/// mathematical study of triangles). Consider a circle of radius 1
/// centered on the origin. A ray comes in from the axis, makes
/// an angle at the origin (measured counter-clockwise from that axis), and
/// departs from the origin. The coordinate of the outgoing
/// ray’s intersection with the unit circle is the sine of that angle. It
/// ranges from -1 for to +1 for The
/// function has zeroes where the angle is a multiple of .
/// Sines of angles between and are negative.
/// The numerous properties of the sine and related functions are included
/// in any standard trigonometry text.
/// </summary>
/// <param name="x">
/// Angle, in radians ( rad equals 360 degrees).
/// </param>
/// <param name="@out">
/// A location into which the result is stored. If provided, it must have
/// a shape that the inputs broadcast to. If not provided or None,
/// a freshly-allocated array is returned. A tuple (possible only as a
/// keyword argument) must have length equal to the number of outputs.
/// </param>
/// <param name="@where">
/// Values of True indicate to calculate the ufunc at that position, values
/// of False indicate to leave the value in the output alone.
/// </param>
/// <returns>
/// The sine of each element of x.
/// This is a scalar if x is a scalar.
/// </returns>
public static NDarray sin(NDarray x, NDarray @out = null, NDarray @where = null)
=> NumPy.Instance.sin(x, @out:@out, @where:@where);
/// <summary>
/// Cosine element-wise.
///
/// Notes
///
/// If out is provided, the function writes the result into it,
/// and returns a reference to out. (See Examples)
///
/// References
///
/// M. Abramowitz and I. A. Stegun, Handbook of Mathematical Functions.
/// New York, NY: Dover, 1972.
/// </summary>
/// <param name="x">
/// Input array in radians.
/// </param>
/// <param name="@out">
/// A location into which the result is stored. If provided, it must have
/// a shape that the inputs broadcast to. If not provided or None,
/// a freshly-allocated array is returned. A tuple (possible only as a
/// keyword argument) must have length equal to the number of outputs.
/// </param>
/// <param name="@where">
/// Values of True indicate to calculate the ufunc at that position, values
/// of False indicate to leave the value in the output alone.
/// </param>
/// <returns>
/// The corresponding cosine values.
/// This is a scalar if x is a scalar.
/// </returns>
public static NDarray cos(NDarray x, NDarray @out = null, NDarray @where = null)
=> NumPy.Instance.cos(x, @out:@out, @where:@where);
/// <summary>
/// Compute tangent element-wise.
///
/// Equivalent to np.sin(x)/np.cos(x) element-wise.
///
/// Notes
///
/// If out is provided, the function writes the result into it,
/// and returns a reference to out. (See Examples)
///
/// References
///
/// M. Abramowitz and I. A. Stegun, Handbook of Mathematical Functions.
/// New York, NY: Dover, 1972.
/// </summary>
/// <param name="x">
/// Input array.
/// </param>
/// <param name="@out">
/// A location into which the result is stored. If provided, it must have
/// a shape that the inputs broadcast to. If not provided or None,
/// a freshly-allocated array is returned. A tuple (possible only as a
/// keyword argument) must have length equal to the number of outputs.
/// </param>
/// <param name="@where">
/// Values of True indicate to calculate the ufunc at that position, values
/// of False indicate to leave the value in the output alone.
/// </param>
/// <returns>
/// The corresponding tangent values.
/// This is a scalar if x is a scalar.
/// </returns>
public static NDarray tan(NDarray x, NDarray @out = null, NDarray @where = null)
=> NumPy.Instance.tan(x, @out:@out, @where:@where);
/// <summary>
/// Inverse sine, element-wise.
///
/// Notes
///
/// arcsin is a multivalued function: for each x there are infinitely
/// many numbers z such that . The convention is to
/// return the angle z whose real part lies in [-pi/2, pi/2].
///
/// For real-valued input data types, arcsin always returns real output.
/// For each value that cannot be expressed as a real number or infinity,
/// it yields nan and sets the invalid floating point error flag.
///
/// For complex-valued input, arcsin is a complex analytic function that
/// has, by convention, the branch cuts [-inf, -1] and [1, inf] and is
/// continuous from above on the former and from below on the latter.
///
/// The inverse sine is also known as asin or sin^{-1}.
///
/// References
///
/// Abramowitz, M. and Stegun, I. A., Handbook of Mathematical Functions,
/// 10th printing, New York: Dover, 1964, pp. 79ff.
/// http://www.math.sfu.ca/~cbm/aands/
/// </summary>
/// <param name="x">
/// y-coordinate on the unit circle.
/// </param>
/// <param name="@out">
/// A location into which the result is stored. If provided, it must have
/// a shape that the inputs broadcast to. If not provided or None,
/// a freshly-allocated array is returned. A tuple (possible only as a
/// keyword argument) must have length equal to the number of outputs.
/// </param>
/// <param name="@where">
/// Values of True indicate to calculate the ufunc at that position, values
/// of False indicate to leave the value in the output alone.
/// </param>
/// <returns>
/// The inverse sine of each element in x, in radians and in the
/// closed interval [-pi/2, pi/2].
/// This is a scalar if x is a scalar.
/// </returns>
public static NDarray arcsin(NDarray x, NDarray @out = null, NDarray @where = null)
=> NumPy.Instance.arcsin(x, @out:@out, @where:@where);
/// <summary>
/// Trigonometric inverse cosine, element-wise.
///
/// The inverse of cos so that, if y = cos(x), then x = arccos(y).
///
/// Notes
///
/// arccos is a multivalued function: for each x there are infinitely
/// many numbers z such that cos(z) = x. The convention is to return
/// the angle z whose real part lies in [0, pi].
///
/// For real-valued input data types, arccos always returns real output.
/// For each value that cannot be expressed as a real number or infinity,
/// it yields nan and sets the invalid floating point error flag.
///
/// For complex-valued input, arccos is a complex analytic function that
/// has branch cuts [-inf, -1] and [1, inf] and is continuous from
/// above on the former and from below on the latter.
///
/// The inverse cos is also known as acos or cos^-1.
///
/// References
///
/// M. Abramowitz and I.A. Stegun, “Handbook of Mathematical Functions”,
/// 10th printing, 1964, pp. 79. http://www.math.sfu.ca/~cbm/aands/
/// </summary>
/// <param name="x">
/// x-coordinate on the unit circle.
/// For real arguments, the domain is [-1, 1].
/// </param>
/// <param name="@out">
/// A location into which the result is stored. If provided, it must have
/// a shape that the inputs broadcast to. If not provided or None,
/// a freshly-allocated array is returned. A tuple (possible only as a
/// keyword argument) must have length equal to the number of outputs.
/// </param>
/// <param name="@where">
/// Values of True indicate to calculate the ufunc at that position, values
/// of False indicate to leave the value in the output alone.
/// </param>
/// <returns>
/// The angle of the ray intersecting the unit circle at the given
/// x-coordinate in radians [0, pi].
/// This is a scalar if x is a scalar.
/// </returns>
public static NDarray arccos(NDarray x, NDarray @out = null, NDarray @where = null)
=> NumPy.Instance.arccos(x, @out:@out, @where:@where);
/// <summary>
/// Trigonometric inverse tangent, element-wise.
///
/// The inverse of tan, so that if y = tan(x) then x = arctan(y).
///
/// Notes
///
/// arctan is a multi-valued function: for each x there are infinitely
/// many numbers z such that tan(z) = x. The convention is to return
/// the angle z whose real part lies in [-pi/2, pi/2].
///
/// For real-valued input data types, arctan always returns real output.
/// For each value that cannot be expressed as a real number or infinity,
/// it yields nan and sets the invalid floating point error flag.
///
/// For complex-valued input, arctan is a complex analytic function that
/// has [1j, infj] and [-1j, -infj] as branch cuts, and is continuous
/// from the left on the former and from the right on the latter.
///
/// The inverse tangent is also known as atan or tan^{-1}.
///
/// References
///
/// Abramowitz, M. and Stegun, I. A., Handbook of Mathematical Functions,
/// 10th printing, New York: Dover, 1964, pp. 79.
/// http://www.math.sfu.ca/~cbm/aands/
/// </summary>
/// <param name="@out">
/// A location into which the result is stored. If provided, it must have
/// a shape that the inputs broadcast to. If not provided or None,
/// a freshly-allocated array is returned. A tuple (possible only as a
/// keyword argument) must have length equal to the number of outputs.
/// </param>
/// <param name="@where">
/// Values of True indicate to calculate the ufunc at that position, values
/// of False indicate to leave the value in the output alone.
/// </param>
/// <returns>
/// Out has the same shape as x. Its real part is in
/// [-pi/2, pi/2] (arctan(+/-inf) returns +/-pi/2).
/// This is a scalar if x is a scalar.
/// </returns>
public static NDarray arctan(NDarray x, NDarray @out = null, NDarray @where = null)
=> NumPy.Instance.arctan(x, @out:@out, @where:@where);
/// <summary>
/// Given the “legs” of a right triangle, return its hypotenuse.
///
/// Equivalent to sqrt(x1**2 + x2**2), element-wise. If x1 or
/// x2 is scalar_like (i.e., unambiguously cast-able to a scalar type),
/// it is broadcast for use with each element of the other argument.
/// (See Examples)
/// </summary>
/// <param name="x2">
/// Leg of the triangle(s).
/// </param>
/// <param name="x1">
/// Leg of the triangle(s).
/// </param>
/// <param name="@out">
/// A location into which the result is stored. If provided, it must have
/// a shape that the inputs broadcast to. If not provided or None,
/// a freshly-allocated array is returned. A tuple (possible only as a
/// keyword argument) must have length equal to the number of outputs.
/// </param>
/// <param name="@where">
/// Values of True indicate to calculate the ufunc at that position, values
/// of False indicate to leave the value in the output alone.
/// </param>
/// <returns>
/// The hypotenuse of the triangle(s).
/// This is a scalar if both x1 and x2 are scalars.
/// </returns>
public static NDarray hypot(NDarray x2, NDarray x1, NDarray @out = null, NDarray @where = null)
=> NumPy.Instance.hypot(x2, x1, @out:@out, @where:@where);
/// <summary>
/// Element-wise arc tangent of x1/x2 choosing the quadrant correctly.
///
/// The quadrant (i.e., branch) is chosen so that arctan2(x1, x2) is
/// the signed angle in radians between the ray ending at the origin and
/// passing through the point (1,0), and the ray ending at the origin and
/// passing through the point (x2, x1). (Note the role reversal: the
/// “y-coordinate” is the first function parameter, the “x-coordinate”
/// is the second.) By IEEE convention, this function is defined for
/// x2 = +/-0 and for either or both of x1 and x2 = +/-inf (see
/// Notes for specific values).
///
/// This function is not defined for complex-valued arguments; for the
/// so-called argument of complex values, use angle.
///
/// Notes
///
/// arctan2 is identical to the atan2 function of the underlying
/// C library. The following special values are defined in the C
/// standard: [1]
///
/// Note that +0 and -0 are distinct floating point numbers, as are +inf
/// and -inf.
///
/// References
/// </summary>
/// <param name="x1">
/// y-coordinates.
/// </param>
/// <param name="x2">
/// x-coordinates. x2 must be broadcastable to match the shape of
/// x1 or vice versa.
/// </param>
/// <param name="@out">
/// A location into which the result is stored. If provided, it must have
/// a shape that the inputs broadcast to. If not provided or None,
/// a freshly-allocated array is returned. A tuple (possible only as a
/// keyword argument) must have length equal to the number of outputs.
/// </param>
/// <param name="@where">
/// Values of True indicate to calculate the ufunc at that position, values
/// of False indicate to leave the value in the output alone.
/// </param>
/// <returns>
/// Array of angles in radians, in the range [-pi, pi].
/// This is a scalar if both x1 and x2 are scalars.
/// </returns>
public static NDarray arctan2(NDarray x1, NDarray x2, NDarray @out = null, NDarray @where = null)
=> NumPy.Instance.arctan2(x1, x2, @out:@out, @where:@where);
/// <summary>
/// Convert angles from radians to degrees.
/// </summary>
/// <param name="x">
/// Input array in radians.
/// </param>
/// <param name="@out">
/// A location into which the result is stored. If provided, it must have
/// a shape that the inputs broadcast to. If not provided or None,
/// a freshly-allocated array is returned. A tuple (possible only as a
/// keyword argument) must have length equal to the number of outputs.
/// </param>
/// <param name="@where">
/// Values of True indicate to calculate the ufunc at that position, values
/// of False indicate to leave the value in the output alone.
/// </param>
/// <returns>
/// The corresponding degree values; if out was supplied this is a
/// reference to it.
/// This is a scalar if x is a scalar.
/// </returns>
public static NDarray degrees(NDarray x, NDarray @out = null, NDarray @where = null)
=> NumPy.Instance.degrees(x, @out:@out, @where:@where);
/// <summary>
/// Convert angles from degrees to radians.
/// </summary>
/// <param name="x">
/// Input array in degrees.
/// </param>
/// <param name="@out">
/// A location into which the result is stored. If provided, it must have
/// a shape that the inputs broadcast to. If not provided or None,
/// a freshly-allocated array is returned. A tuple (possible only as a
/// keyword argument) must have length equal to the number of outputs.
/// </param>
/// <param name="@where">
/// Values of True indicate to calculate the ufunc at that position, values
/// of False indicate to leave the value in the output alone.
/// </param>
/// <returns>
/// The corresponding radian values.
/// This is a scalar if x is a scalar.
/// </returns>
public static NDarray radians(NDarray x, NDarray @out = null, NDarray @where = null)
=> NumPy.Instance.radians(x, @out:@out, @where:@where);
/// <summary>
/// Unwrap by changing deltas between values to 2*pi complement.
///
/// Unwrap radian phase p by changing absolute jumps greater than
/// discont to their 2*pi complement along the given axis.
///
/// Notes
///
/// If the discontinuity in p is smaller than pi, but larger than
/// discont, no unwrapping is done because taking the 2*pi complement
/// would only make the discontinuity larger.
/// </summary>
/// <param name="p">
/// Input array.
/// </param>
/// <param name="discont">
/// Maximum discontinuity between values, default is pi.
/// </param>
/// <param name="axis">
/// Axis along which unwrap will operate, default is the last axis.
/// </param>
/// <returns>
/// Output array.
/// </returns>
public static NDarray unwrap(NDarray p, float? discont = 3.141592653589793f, int? axis = -1)
=> NumPy.Instance.unwrap(p, discont:discont, axis:axis);
/// <summary>
/// Convert angles from degrees to radians.
///
/// Notes
///
/// deg2rad(x) is x * pi / 180.
/// </summary>
/// <param name="x">
/// Angles in degrees.
/// </param>
/// <param name="@out">
/// A location into which the result is stored. If provided, it must have
/// a shape that the inputs broadcast to. If not provided or None,
/// a freshly-allocated array is returned. A tuple (possible only as a
/// keyword argument) must have length equal to the number of outputs.
/// </param>
/// <param name="@where">
/// Values of True indicate to calculate the ufunc at that position, values
/// of False indicate to leave the value in the output alone.
/// </param>
/// <returns>
/// The corresponding angle in radians.
/// This is a scalar if x is a scalar.
/// </returns>
public static NDarray deg2rad(NDarray x, NDarray @out = null, NDarray @where = null)
=> NumPy.Instance.deg2rad(x, @out:@out, @where:@where);
/// <summary>
/// Convert angles from radians to degrees.
///
/// Notes
///
/// rad2deg(x) is 180 * x / pi.
/// </summary>
/// <param name="x">
/// Angle in radians.
/// </param>
/// <param name="@out">
/// A location into which the result is stored. If provided, it must have
/// a shape that the inputs broadcast to. If not provided or None,
/// a freshly-allocated array is returned. A tuple (possible only as a
/// keyword argument) must have length equal to the number of outputs.
/// </param>
/// <param name="@where">
/// Values of True indicate to calculate the ufunc at that position, values
/// of False indicate to leave the value in the output alone.
/// </param>
/// <returns>
/// The corresponding angle in degrees.
/// This is a scalar if x is a scalar.
/// </returns>
public static NDarray rad2deg(NDarray x, NDarray @out = null, NDarray @where = null)
=> NumPy.Instance.rad2deg(x, @out:@out, @where:@where);
/// <summary>
/// Hyperbolic sine, element-wise.
///
/// Equivalent to 1/2 * (np.exp(x) - np.exp(-x)) or
/// -1j * np.sin(1j*x).
///
/// Notes
///
/// If out is provided, the function writes the result into it,
/// and returns a reference to out. (See Examples)
///
/// References
///
/// M. Abramowitz and I. A. Stegun, Handbook of Mathematical Functions.
/// New York, NY: Dover, 1972, pg. 83.
/// </summary>
/// <param name="x">
/// Input array.
/// </param>
/// <param name="@out">
/// A location into which the result is stored. If provided, it must have
/// a shape that the inputs broadcast to. If not provided or None,
/// a freshly-allocated array is returned. A tuple (possible only as a
/// keyword argument) must have length equal to the number of outputs.
/// </param>
/// <param name="@where">
/// Values of True indicate to calculate the ufunc at that position, values
/// of False indicate to leave the value in the output alone.
/// </param>
/// <returns>
/// The corresponding hyperbolic sine values.
/// This is a scalar if x is a scalar.
/// </returns>
public static NDarray sinh(NDarray x, NDarray @out = null, NDarray @where = null)
=> NumPy.Instance.sinh(x, @out:@out, @where:@where);
/// <summary>
/// Hyperbolic cosine, element-wise.
///
/// Equivalent to 1/2 * (np.exp(x) + np.exp(-x)) and np.cos(1j*x).
/// </summary>
/// <param name="x">
/// Input array.
/// </param>
/// <param name="@out">
/// A location into which the result is stored. If provided, it must have
/// a shape that the inputs broadcast to. If not provided or None,
/// a freshly-allocated array is returned. A tuple (possible only as a
/// keyword argument) must have length equal to the number of outputs.
/// </param>
/// <param name="@where">
/// Values of True indicate to calculate the ufunc at that position, values
/// of False indicate to leave the value in the output alone.
/// </param>
/// <returns>
/// Output array of same shape as x.
/// This is a scalar if x is a scalar.
/// </returns>
public static NDarray cosh(NDarray x, NDarray @out = null, NDarray @where = null)
=> NumPy.Instance.cosh(x, @out:@out, @where:@where);
/// <summary>
/// Compute hyperbolic tangent element-wise.
///
/// Equivalent to np.sinh(x)/np.cosh(x) or -1j * np.tan(1j*x).
///
/// Notes
///
/// If out is provided, the function writes the result into it,
/// and returns a reference to out. (See Examples)
///
/// References
/// </summary>
/// <param name="x">
/// Input array.
/// </param>
/// <param name="@out">
/// A location into which the result is stored. If provided, it must have
/// a shape that the inputs broadcast to. If not provided or None,
/// a freshly-allocated array is returned. A tuple (possible only as a
/// keyword argument) must have length equal to the number of outputs.
/// </param>
/// <param name="@where">
/// Values of True indicate to calculate the ufunc at that position, values
/// of False indicate to leave the value in the output alone.
/// </param>
/// <returns>
/// The corresponding hyperbolic tangent values.
/// This is a scalar if x is a scalar.
/// </returns>
public static NDarray tanh(NDarray x, NDarray @out = null, NDarray @where = null)
=> NumPy.Instance.tanh(x, @out:@out, @where:@where);
/// <summary>
/// Inverse hyperbolic sine element-wise.
///
/// Notes
///
/// arcsinh is a multivalued function: for each x there are infinitely
/// many numbers z such that sinh(z) = x. The convention is to return the
/// z whose imaginary part lies in [-pi/2, pi/2].
///
/// For real-valued input data types, arcsinh always returns real output.
/// For each value that cannot be expressed as a real number or infinity, it
/// returns nan and sets the invalid floating point error flag.
///
/// For complex-valued input, arccos is a complex analytical function that
/// has branch cuts [1j, infj] and [-1j, -infj] and is continuous from
/// the right on the former and from the left on the latter.
///
/// The inverse hyperbolic sine is also known as asinh or sinh^-1.
///
/// References
/// </summary>
/// <param name="x">
/// Input array.
/// </param>
/// <param name="@out">
/// A location into which the result is stored. If provided, it must have
/// a shape that the inputs broadcast to. If not provided or None,
/// a freshly-allocated array is returned. A tuple (possible only as a
/// keyword argument) must have length equal to the number of outputs.
/// </param>
/// <param name="@where">
/// Values of True indicate to calculate the ufunc at that position, values
/// of False indicate to leave the value in the output alone.
/// </param>
/// <returns>
/// Array of the same shape as x.
/// This is a scalar if x is a scalar.
/// </returns>
public static NDarray arcsinh(NDarray x, NDarray @out = null, NDarray @where = null)
=> NumPy.Instance.arcsinh(x, @out:@out, @where:@where);
/// <summary>
/// Inverse hyperbolic cosine, element-wise.
///
/// Notes
///
/// arccosh is a multivalued function: for each x there are infinitely
/// many numbers z such that cosh(z) = x. The convention is to return the
/// z whose imaginary part lies in [-pi, pi] and the real part in
/// [0, inf].
///
/// For real-valued input data types, arccosh always returns real output.
/// For each value that cannot be expressed as a real number or infinity, it
/// yields nan and sets the invalid floating point error flag.
///
/// For complex-valued input, arccosh is a complex analytical function that
/// has a branch cut [-inf, 1] and is continuous from above on it.
///
/// References
/// </summary>
/// <param name="x">
/// Input array.
/// </param>
/// <param name="@out">
/// A location into which the result is stored. If provided, it must have
/// a shape that the inputs broadcast to. If not provided or None,
/// a freshly-allocated array is returned. A tuple (possible only as a
/// keyword argument) must have length equal to the number of outputs.
/// </param>
/// <param name="@where">
/// Values of True indicate to calculate the ufunc at that position, values
/// of False indicate to leave the value in the output alone.
/// </param>
/// <returns>
/// Array of the same shape as x.
/// This is a scalar if x is a scalar.
/// </returns>
public static NDarray arccosh(NDarray x, NDarray @out = null, NDarray @where = null)
=> NumPy.Instance.arccosh(x, @out:@out, @where:@where);
/// <summary>
/// Inverse hyperbolic tangent element-wise.
///
/// Notes
///
/// arctanh is a multivalued function: for each x there are infinitely
/// many numbers z such that tanh(z) = x. The convention is to return
/// the z whose imaginary part lies in [-pi/2, pi/2].
///
/// For real-valued input data types, arctanh always returns real output.
/// For each value that cannot be expressed as a real number or infinity,
/// it yields nan and sets the invalid floating point error flag.
///
/// For complex-valued input, arctanh is a complex analytical function
/// that has branch cuts [-1, -inf] and [1, inf] and is continuous from
/// above on the former and from below on the latter.
///
/// The inverse hyperbolic tangent is also known as atanh or tanh^-1.
///
/// References
/// </summary>
/// <param name="x">
/// Input array.
/// </param>
/// <param name="@out">
/// A location into which the result is stored. If provided, it must have
/// a shape that the inputs broadcast to. If not provided or None,
/// a freshly-allocated array is returned. A tuple (possible only as a
/// keyword argument) must have length equal to the number of outputs.
/// </param>
/// <param name="@where">
/// Values of True indicate to calculate the ufunc at that position, values
/// of False indicate to leave the value in the output alone.
/// </param>
/// <returns>
/// Array of the same shape as x.
/// This is a scalar if x is a scalar.
/// </returns>
public static NDarray arctanh(NDarray x, NDarray @out = null, NDarray @where = null)
=> NumPy.Instance.arctanh(x, @out:@out, @where:@where);
/// <summary>
/// Evenly round to the given number of decimals.
///
/// Notes
///
/// For values exactly halfway between rounded decimal values, NumPy
/// rounds to the nearest even value. Thus 1.5 and 2.5 round to 2.0,
/// -0.5 and 0.5 round to 0.0, etc. Results may also be surprising due
/// to the inexact representation of decimal fractions in the IEEE
/// floating point standard [1] and errors introduced when scaling
/// by powers of ten.
///
/// References
/// </summary>
/// <param name="a">
/// Input data.
/// </param>
/// <param name="decimals">
/// Number of decimal places to round to (default: 0). If
/// decimals is negative, it specifies the number of positions to
/// the left of the decimal point.
/// </param>
/// <param name="@out">
/// Alternative output array in which to place the result. It must have
/// the same shape as the expected output, but the type of the output
/// values will be cast if necessary. See doc.ufuncs (Section
/// “Output arguments”) for details.
/// </param>
/// <returns>
/// An array of the same type as a, containing the rounded values.
/// Unless out was specified, a new array is created. A reference to
/// the result is returned.
///
/// The real and imaginary parts of complex numbers are rounded
/// separately. The result of rounding a float is a float.
/// </returns>
public static NDarray around(NDarray a, int? decimals = 0, NDarray @out = null)
=> NumPy.Instance.around(a, decimals:decimals, @out:@out);
/// <summary>
/// Round elements of the array to the nearest integer.
/// </summary>
/// <param name="x">
/// Input array.
/// </param>
/// <param name="@out">
/// A location into which the result is stored. If provided, it must have
/// a shape that the inputs broadcast to. If not provided or None,
/// a freshly-allocated array is returned. A tuple (possible only as a
/// keyword argument) must have length equal to the number of outputs.
/// </param>
/// <param name="@where">
/// Values of True indicate to calculate the ufunc at that position, values
/// of False indicate to leave the value in the output alone.
/// </param>
/// <returns>
/// Output array is same shape and type as x.
/// This is a scalar if x is a scalar.
/// </returns>
public static NDarray rint(NDarray x, NDarray @out = null, NDarray @where = null)
=> NumPy.Instance.rint(x, @out:@out, @where:@where);
/// <summary>
/// Round to nearest integer towards zero.
///
/// Round an array of floats element-wise to nearest integer towards zero.
/// The rounded values are returned as floats.
/// </summary>
/// <param name="x">
/// An array of floats to be rounded
/// </param>
/// <param name="y">
/// Output array
/// </param>
/// <returns>
/// The array of rounded numbers
/// </returns>
public static NDarray fix(NDarray x, NDarray y = null)
=> NumPy.Instance.fix(x, y:y);
/// <summary>
/// Return the floor of the input, element-wise.
///
/// The floor of the scalar x is the largest integer i, such that
/// i <= x. It is often denoted as .
///
/// Notes
///
/// Some spreadsheet programs calculate the “floor-towards-zero”, in other
/// words floor(-2.5) == -2. NumPy instead uses the definition of
/// floor where floor(-2.5) == -3.
/// </summary>
/// <param name="x">
/// Input data.
/// </param>
/// <param name="@out">
/// A location into which the result is stored. If provided, it must have
/// a shape that the inputs broadcast to. If not provided or None,
/// a freshly-allocated array is returned. A tuple (possible only as a
/// keyword argument) must have length equal to the number of outputs.
/// </param>
/// <param name="@where">
/// Values of True indicate to calculate the ufunc at that position, values
/// of False indicate to leave the value in the output alone.
/// </param>
/// <returns>
/// The floor of each element in x.
/// This is a scalar if x is a scalar.
/// </returns>
public static NDarray floor(NDarray x, NDarray @out = null, NDarray @where = null)
=> NumPy.Instance.floor(x, @out:@out, @where:@where);
/// <summary>
/// Return the ceiling of the input, element-wise.
///
/// The ceil of the scalar x is the smallest integer i, such that
/// i >= x. It is often denoted as .
/// </summary>
/// <param name="x">
/// Input data.
/// </param>
/// <param name="@out">
/// A location into which the result is stored. If provided, it must have
/// a shape that the inputs broadcast to. If not provided or None,
/// a freshly-allocated array is returned. A tuple (possible only as a
/// keyword argument) must have length equal to the number of outputs.
/// </param>
/// <param name="@where">
/// Values of True indicate to calculate the ufunc at that position, values
/// of False indicate to leave the value in the output alone.
/// </param>
/// <returns>
/// The ceiling of each element in x, with float dtype.
/// This is a scalar if x is a scalar.
/// </returns>
public static NDarray ceil(NDarray x, NDarray @out = null, NDarray @where = null)
=> NumPy.Instance.ceil(x, @out:@out, @where:@where);
/// <summary>
/// Return the truncated value of the input, element-wise.
///
/// The truncated value of the scalar x is the nearest integer i which
/// is closer to zero than x is. In short, the fractional part of the
/// signed number x is discarded.
///
/// Notes
/// </summary>
/// <param name="x">
/// Input data.
/// </param>
/// <param name="@out">
/// A location into which the result is stored. If provided, it must have
/// a shape that the inputs broadcast to. If not provided or None,
/// a freshly-allocated array is returned. A tuple (possible only as a
/// keyword argument) must have length equal to the number of outputs.
/// </param>
/// <param name="@where">
/// Values of True indicate to calculate the ufunc at that position, values
/// of False indicate to leave the value in the output alone.
/// </param>
/// <returns>
/// The truncated value of each element in x.
/// This is a scalar if x is a scalar.
/// </returns>
public static NDarray trunc(NDarray x, NDarray @out = null, NDarray @where = null)
=> NumPy.Instance.trunc(x, @out:@out, @where:@where);
/// <summary>
/// Return the product of array elements over a given axis.
///
/// Notes
///
/// Arithmetic is modular when using integer types, and no error is
/// raised on overflow. That means that, on a 32-bit platform:
///
/// The product of an empty array is the neutral element 1:
/// </summary>
/// <param name="a">
/// Input data.
/// </param>
/// <param name="axis">
/// Axis or axes along which a product is performed. The default,
/// axis=None, will calculate the product of all the elements in the
/// input array. If axis is negative it counts from the last to the
/// first axis.
///
/// If axis is a tuple of ints, a product is performed on all of the
/// axes specified in the tuple instead of a single axis or all the
/// axes as before.
/// </param>
/// <param name="dtype">
/// The type of the returned array, as well as of the accumulator in
/// which the elements are multiplied. The dtype of a is used by
/// default unless a has an integer dtype of less precision than the
/// default platform integer. In that case, if a is signed then the
/// platform integer is used while if a is unsigned then an unsigned
/// integer of the same precision as the platform integer is used.
/// </param>
/// <param name="@out">
/// Alternative output array in which to place the result. It must have
/// the same shape as the expected output, but the type of the output
/// values will be cast if necessary.
/// </param>
/// <param name="keepdims">
/// If this is set to True, the axes which are reduced are left in the
/// result as dimensions with size one. With this option, the result
/// will broadcast correctly against the input array.
///
/// If the default value is passed, then keepdims will not be
/// passed through to the prod method of sub-classes of
/// ndarray, however any non-default value will be. If the
/// sub-class’ method does not implement keepdims any
/// exceptions will be raised.
/// </param>
/// <param name="initial">
/// The starting value for this product. See reduce for details.
/// </param>
/// <returns>
/// An array shaped as a but with the specified axis removed.
/// Returns a reference to out if specified.
/// </returns>
public static NDarray prod(NDarray a, int[] axis = null, Dtype dtype = null, NDarray @out = null, bool? keepdims = null, ValueType initial = null)
=> NumPy.Instance.prod(a, axis:axis, dtype:dtype, @out:@out, keepdims:keepdims, initial:initial);
/// <summary>
/// Sum of array elements over a given axis.
///
/// Notes
///
/// Arithmetic is modular when using integer types, and no error is
/// raised on overflow.
///
/// The sum of an empty array is the neutral element 0:
/// </summary>
/// <param name="a">
/// Elements to sum.
/// </param>
/// <param name="axis">
/// Axis or axes along which a sum is performed. The default,
/// axis=None, will sum all of the elements of the input array. If
/// axis is negative it counts from the last to the first axis.
///
/// If axis is a tuple of ints, a sum is performed on all of the axes
/// specified in the tuple instead of a single axis or all the axes as
/// before.
/// </param>
/// <param name="dtype">
/// The type of the returned array and of the accumulator in which the
/// elements are summed. The dtype of a is used by default unless a
/// has an integer dtype of less precision than the default platform
/// integer. In that case, if a is signed then the platform integer
/// is used while if a is unsigned then an unsigned integer of the
/// same precision as the platform integer is used.
/// </param>
/// <param name="@out">
/// Alternative output array in which to place the result. It must have
/// the same shape as the expected output, but the type of the output
/// values will be cast if necessary.
/// </param>
/// <param name="keepdims">
/// If this is set to True, the axes which are reduced are left
/// in the result as dimensions with size one. With this option,
/// the result will broadcast correctly against the input array.
///
/// If the default value is passed, then keepdims will not be
/// passed through to the sum method of sub-classes of
/// ndarray, however any non-default value will be. If the
/// sub-class’ method does not implement keepdims any
/// exceptions will be raised.
/// </param>
/// <param name="initial">
/// Starting value for the sum. See reduce for details.
/// </param>
/// <returns>
/// An array with the same shape as a, with the specified
/// axis removed. If a is a 0-d array, or if axis is None, a scalar
/// is returned. If an output array is specified, a reference to
/// out is returned.
/// </returns>
public static NDarray sum(NDarray a, int[] axis = null, Dtype dtype = null, NDarray @out = null, bool? keepdims = null, ValueType initial = null)
=> NumPy.Instance.sum(a, axis:axis, dtype:dtype, @out:@out, keepdims:keepdims, initial:initial);
/// <summary>
/// Return the product of array elements over a given axis treating Not a
/// Numbers (NaNs) as ones.
///
/// One is returned for slices that are all-NaN or empty.
/// </summary>
/// <param name="a">
/// Array containing numbers whose product is desired. If a is not an
/// array, a conversion is attempted.
/// </param>
/// <param name="axis">
/// Axis or axes along which the product is computed. The default is to compute
/// the product of the flattened array.
/// </param>
/// <param name="dtype">
/// The type of the returned array and of the accumulator in which the
/// elements are summed. By default, the dtype of a is used. An
/// exception is when a has an integer type with less precision than
/// the platform (u)intp. In that case, the default will be either
/// (u)int32 or (u)int64 depending on whether the platform is 32 or 64
/// bits. For inexact inputs, dtype must be inexact.
/// </param>
/// <param name="@out">
/// Alternate output array in which to place the result. The default
/// is None. If provided, it must have the same shape as the
/// expected output, but the type will be cast if necessary. See
/// doc.ufuncs for details. The casting of NaN to integer can yield
/// unexpected results.
/// </param>
/// <param name="keepdims">
/// If True, the axes which are reduced are left in the result as
/// dimensions with size one. With this option, the result will