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// Copyright (c) 2020 by Meinrad Recheis (Member of SciSharp)
// 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 Numpy.Models;
#if PYTHON_INCLUDED
using Python.Included;
#endif
namespace Numpy
{
public partial class NDarray
{
/// <summary>
/// Copy an element of an array to a standard Python scalar and return it.<br></br>
///
/// Notes
///
/// When the data type of a is longdouble or clongdouble, item() returns
/// a scalar array object because there is no available Python scalar that
/// would not lose information.<br></br>
/// Void arrays return a buffer object for item(),
/// unless fields are defined, in which case a tuple is returned.<br></br>
///
/// item is very similar to a[args], except, instead of an array scalar,
/// a standard Python scalar is returned.<br></br>
/// This can be useful for speeding up
/// access to elements of the array and doing arithmetic on elements of the
/// array using Python’s optimized math.
/// </summary>
/// <returns>
/// A copy of the specified element of the array as a suitable
/// Python scalar
/// </returns>
public T item<T>(params int[] args)
{
//auto-generated code, do not change
var __self__=self;
var pyargs=ToTuple(new object[]
{
args,
});
var kwargs=new PyDict();
dynamic py = __self__.InvokeMethod("item", pyargs, kwargs);
return ToCsharp<T>(py);
}
/*
/// <summary>
/// Return the array as a (possibly nested) list.<br></br>
///
/// Return a copy of the array data as a (nested) Python list.<br></br>
///
/// Data items are converted to the nearest compatible Python type.<br></br>
///
/// Notes
///
/// The array may be recreated, a = np.array(a.tolist()).
/// </summary>
/// <returns>
/// The possibly nested list of array elements.
/// </returns>
public List<T> tolist<T>()
{
//auto-generated code, do not change
var __self__=self;
dynamic py = __self__.InvokeMethod("tolist");
return ToCsharp<List<T>>(py);
}
*/
/// <summary>
/// Write array to a file as text or binary (default).<br></br>
///
/// Data is always written in ‘C’ order, independent of the order of a.<br></br>
///
/// The data produced by this method can be recovered using the function
/// fromfile().<br></br>
///
/// Notes
///
/// This is a convenience function for quick storage of array data.<br></br>
///
/// Information on endianness and precision is lost, so this method is not a
/// good choice for files intended to archive data or transport data between
/// machines with different endianness.<br></br>
/// Some of these problems can be overcome
/// by outputting the data as text files, at the expense of speed and file
/// size.<br></br>
///
/// When fid is a file object, array contents are directly written to the
/// file, bypassing the file object’s write method.<br></br>
/// As a result, tofile
/// cannot be used with files objects supporting compression (e.g., GzipFile)
/// or file-like objects that do not support fileno() (e.g., BytesIO).
/// </summary>
/// <param name="fid">
/// An open file object, or a string containing a filename.
/// </param>
/// <param name="sep">
/// Separator between array items for text output.<br></br>
///
/// If “” (empty), a binary file is written, equivalent to
/// file.write(a.tobytes()).
/// </param>
/// <param name="format">
/// Format string for text file output.<br></br>
///
/// Each entry in the array is formatted to text by first converting
/// it to the closest Python type, and then using “format” % item.
/// </param>
public void tofile(string fid, string sep, string format)
{
//auto-generated code, do not change
var __self__=self;
var pyargs=ToTuple(new object[]
{
fid,
sep,
format,
});
var kwargs=new PyDict();
dynamic py = __self__.InvokeMethod("tofile", pyargs, kwargs);
}
/// <summary>
/// Dump a pickle of the array to the specified file.<br></br>
///
/// The array can be read back with pickle.load or numpy.load.
/// </summary>
/// <param name="file">
/// A string naming the dump file.
/// </param>
public void dump(string file)
{
//auto-generated code, do not change
var __self__=self;
var pyargs=ToTuple(new object[]
{
file,
});
var kwargs=new PyDict();
dynamic py = __self__.InvokeMethod("dump", pyargs, kwargs);
}
/// <summary>
/// Returns the pickle of the array as a string.<br></br>
///
/// pickle.loads or numpy.loads will convert the string back to an array.
/// </summary>
public void dumps()
{
//auto-generated code, do not change
var __self__=self;
dynamic py = __self__.InvokeMethod("dumps");
}
/// <summary>
/// Copy of the array, cast to a specified type.<br></br>
///
/// Notes
///
/// Starting in NumPy 1.9, astype method now returns an error if the string
/// dtype to cast to is not long enough in ‘safe’ casting mode to hold the max
/// value of integer/float array that is being casted.<br></br>
/// Previously the casting
/// was allowed even if the result was truncated.
/// </summary>
/// <param name="dtype">
/// Typecode or data-type to which the array is cast.
/// </param>
/// <param name="order">
/// Controls the memory layout order of the result.<br></br>
///
/// ‘C’ means C order, ‘F’ means Fortran order, ‘A’
/// means ‘F’ order if all the arrays are Fortran contiguous,
/// ‘C’ order otherwise, and ‘K’ means as close to the
/// order the array elements appear in memory as possible.<br></br>
///
/// Default is ‘K’.
/// </param>
/// <param name="casting">
/// Controls what kind of data casting may occur.<br></br>
/// Defaults to ‘unsafe’
/// for backwards compatibility.
/// </param>
/// <param name="subok">
/// If True, then sub-classes will be passed-through (default), otherwise
/// the returned array will be forced to be a base-class array.
/// </param>
/// <param name="copy">
/// By default, astype always returns a newly allocated array.<br></br>
/// If this
/// is set to false, and the dtype, order, and subok
/// requirements are satisfied, the input array is returned instead
/// of a copy.
/// </param>
/// <returns>
/// Unless copy is False and the other conditions for returning the input
/// array are satisfied (see description for copy input parameter), arr_t
/// is a new array of the same shape as the input array, with dtype, order
/// given by dtype, order.
/// </returns>
public NDarray astype(Dtype dtype, string order = null, string casting = null, bool? subok = null, bool? copy = null)
{
//auto-generated code, do not change
var __self__=self;
var pyargs=ToTuple(new object[]
{
dtype,
});
var kwargs=new PyDict();
if (order!=null) kwargs["order"]=ToPython(order);
if (casting!=null) kwargs["casting"]=ToPython(casting);
if (subok!=null) kwargs["subok"]=ToPython(subok);
if (copy!=null) kwargs["copy"]=ToPython(copy);
dynamic py = __self__.InvokeMethod("astype", pyargs, kwargs);
return ToCsharp<NDarray>(py);
}
/// <summary>
/// Swap the bytes of the array elements
///
/// Toggle between low-endian and big-endian data representation by
/// returning a byteswapped array, optionally swapped in-place.
/// </summary>
/// <param name="inplace">
/// If True, swap bytes in-place, default is False.
/// </param>
/// <returns>
/// The byteswapped array.<br></br>
/// If inplace is True, this is
/// a view to self.
/// </returns>
public NDarray byteswap(bool? inplace = null)
{
//auto-generated code, do not change
var __self__=self;
var pyargs=ToTuple(new object[]
{
});
var kwargs=new PyDict();
if (inplace!=null) kwargs["inplace"]=ToPython(inplace);
dynamic py = __self__.InvokeMethod("byteswap", pyargs, kwargs);
return ToCsharp<NDarray>(py);
}
/// <summary>
/// Return a copy of the array.
/// </summary>
/// <param name="order">
/// Controls the memory layout of the copy.<br></br>
/// ‘C’ means C-order,
/// ‘F’ means F-order, ‘A’ means ‘F’ if a is Fortran contiguous,
/// ‘C’ otherwise.<br></br>
/// ‘K’ means match the layout of a as closely
/// as possible.<br></br>
/// (Note that this function and numpy.copy are very
/// similar, but have different default values for their order=
/// arguments.)
/// </param>
public NDarray copy(string order = null)
{
//auto-generated code, do not change
var __self__=self;
var pyargs=ToTuple(new object[]
{
});
var kwargs=new PyDict();
if (order!=null) kwargs["order"]=ToPython(order);
dynamic py = __self__.InvokeMethod("copy", pyargs, kwargs);
return ToCsharp<NDarray>(py);
}
/// <summary>
/// Returns a field of the given array as a certain type.<br></br>
///
/// A field is a view of the array data with a given data-type.<br></br>
/// The values in
/// the view are determined by the given type and the offset into the current
/// array in bytes.<br></br>
/// The offset needs to be such that the view dtype fits in the
/// array dtype; for example an array of dtype complex128 has 16-byte elements.<br></br>
///
/// If taking a view with a 32-bit integer (4 bytes), the offset needs to be
/// between 0 and 12 bytes.
/// </summary>
/// <param name="dtype">
/// The data type of the view.<br></br>
/// The dtype size of the view can not be larger
/// than that of the array itself.
/// </param>
/// <param name="offset">
/// Number of bytes to skip before beginning the element view.
/// </param>
public void getfield(Dtype dtype, int offset)
{
//auto-generated code, do not change
var __self__=self;
var pyargs=ToTuple(new object[]
{
dtype,
offset,
});
var kwargs=new PyDict();
dynamic py = __self__.InvokeMethod("getfield", pyargs, kwargs);
}
/// <summary>
/// Set array flags WRITEABLE, ALIGNED, (WRITEBACKIFCOPY and UPDATEIFCOPY),
/// respectively.<br></br>
///
/// These Boolean-valued flags affect how numpy interprets the memory
/// area used by a (see Notes below).<br></br>
/// The ALIGNED flag can only
/// be set to True if the data is actually aligned according to the type.<br></br>
///
/// The WRITEBACKIFCOPY and (deprecated) UPDATEIFCOPY flags can never be set
/// to True.<br></br>
/// The flag WRITEABLE can only be set to True if the array owns its
/// own memory, or the ultimate owner of the memory exposes a writeable buffer
/// interface, or is a string.<br></br>
/// (The exception for string is made so that
/// unpickling can be done without copying memory.)
///
/// Notes
///
/// Array flags provide information about how the memory area used
/// for the array is to be interpreted.<br></br>
/// There are 7 Boolean flags
/// in use, only four of which can be changed by the user:
/// WRITEBACKIFCOPY, UPDATEIFCOPY, WRITEABLE, and ALIGNED.<br></br>
///
/// WRITEABLE (W) the data area can be written to;
///
/// ALIGNED (A) the data and strides are aligned appropriately for the hardware
/// (as determined by the compiler);
///
/// UPDATEIFCOPY (U) (deprecated), replaced by WRITEBACKIFCOPY;
///
/// WRITEBACKIFCOPY (X) this array is a copy of some other array (referenced
/// by .base).<br></br>
/// When the C-API function PyArray_ResolveWritebackIfCopy is
/// called, the base array will be updated with the contents of this array.<br></br>
///
/// All flags can be accessed using the single (upper case) letter as well
/// as the full name.
/// </summary>
/// <param name="write">
/// Describes whether or not a can be written to.
/// </param>
/// <param name="align">
/// Describes whether or not a is aligned properly for its type.
/// </param>
/// <param name="uic">
/// Describes whether or not a is a copy of another “base” array.
/// </param>
public void setflags(bool? write = null, bool? align = null, bool? uic = null)
{
//auto-generated code, do not change
var __self__=self;
var pyargs=ToTuple(new object[]
{
});
var kwargs=new PyDict();
if (write!=null) kwargs["write"]=ToPython(write);
if (align!=null) kwargs["align"]=ToPython(align);
if (uic!=null) kwargs["uic"]=ToPython(uic);
dynamic py = __self__.InvokeMethod("setflags", pyargs, kwargs);
}
/// <summary>
/// Fill the array with a scalar value.
/// </summary>
/// <param name="value">
/// All elements of a will be assigned this value.
/// </param>
public void fill(ValueType @value)
{
//auto-generated code, do not change
var __self__=self;
var pyargs=ToTuple(new object[]
{
@value,
});
var kwargs=new PyDict();
dynamic py = __self__.InvokeMethod("fill", pyargs, kwargs);
}
/// <summary>
/// Return a copy of the array collapsed into one dimension.
/// </summary>
/// <param name="order">
/// ‘C’ means to flatten in row-major (C-style) order.<br></br>
///
/// ‘F’ means to flatten in column-major (Fortran-
/// style) order.<br></br>
/// ‘A’ means to flatten in column-major
/// order if a is Fortran contiguous in memory,
/// row-major order otherwise.<br></br>
/// ‘K’ means to flatten
/// a in the order the elements occur in memory.<br></br>
///
/// The default is ‘C’.
/// </param>
/// <returns>
/// A copy of the input array, flattened to one dimension.
/// </returns>
public NDarray flatten(string order = null)
{
//auto-generated code, do not change
var __self__=self;
var pyargs=ToTuple(new object[]
{
});
var kwargs=new PyDict();
if (order!=null) kwargs["order"]=ToPython(order);
dynamic py = __self__.InvokeMethod("flatten", pyargs, kwargs);
return ToCsharp<NDarray>(py);
}
/// <summary>
/// For unpickling.<br></br>
///
/// The state argument must be a sequence that contains the following
/// elements:
/// </summary>
/// <param name="version">
/// optional pickle version.<br></br>
/// If omitted defaults to 0.
/// </param>
/// <param name="rawdata">
/// a binary string with the data (or a list if ‘a’ is an object array)
/// </param>
public void __setstate__(int version, Shape shape, Dtype dtype, bool isFortran, string rawdata)
{
//auto-generated code, do not change
var __self__=self;
var pyargs=ToTuple(new object[]
{
version,
shape,
dtype,
isFortran,
rawdata,
});
var kwargs=new PyDict();
dynamic py = __self__.InvokeMethod("__setstate__", pyargs, kwargs);
}
}
}