External link to Type incompatibility between Python and Fortran. Suppose you implement the gridloop1 F77 function…

Type incompatibility between Python and Fortran. Suppose you implement the gridloop1 F77 function…

Type incompatibility between Python and Fortran. Suppose you implement the gridloop1 F77 function from Chapter 9.3.3 as subroutine gridloop1(a, xcoor, ycoor, nx, ny, func1) integer nx, ny real*4 a(0:nx-1,0:ny-1), xcoor(0:nx-1), ycoor(0:ny-1), func1 Cf2py intent(inout) a Cf2py intent(in) xcoor Cf2py intent(in) ycoor Cf2py depend(nx, ny) a That is, the array elements are now real*4 (single precision) floating-point numbers. Demonstrate that if a is created with float […]

External link to Extract info from a program code. This exercise concerns an improvement of the simviz1.py script….

Extract info from a program code. This exercise concerns an improvement of the simviz1.py script….

Extract info from a program code. This exercise concerns an improvement of the simviz1.py script. The valid names of the func string are always defined in the source code of the oscillator program. Locate the file oscillator.f (the Fortran 77 version of oscillator) in the src tree. Extract the valid func names from this file by looking for if-type statements of the form if (func […]

External link to Implement a class for vectors in 3D. The purpose of this exercise is to program with classes and…

Implement a class for vectors in 3D. The purpose of this exercise is to program with classes and…

Implement a class for vectors in 3D. The purpose of this exercise is to program with classes and special methods. Create a class Vec3D with support for the inner product, cross product, norm, addition, subtraction, etc. The following application script demonstrates the required functionality: >>> from Vec3D import Vec3D >>> u = Vec3D(1, 0, 0) # (1,0,0) vector >>> v = Vec3D(0, 1, 0) >>> […]

External link to A very useful script for all writers. Try to figure out what the following script can do: import re,

A very useful script for all writers. Try to figure out what the following script can do: import re,

A very useful script for all writers. Try to figure out what the following script can do: import re, sys pattern = r”b([w’-]+)(s+1)+b” for filename in sys.argv[1:]: f = open(filename, ’r’).read() start = 0 while start m = re.search(pattern, f[start:]) if m: print “n%s: ” % filename, print “%s ***%s*** %s” % (f[max(0,start+m.start()-30):start+m.start()], m.group(0), f[start+m.end():min(start+m.end()+30,len(f)-1)]) start += m.end() else: print “——” break If you give […]

External link to Almost automatic generation of C extension modules. To simplify writing of C/C++ extension modules..

Almost automatic generation of C extension modules. To simplify writing of C/C++ extension modules..

Almost automatic generation of C extension modules. To simplify writing of C/C++ extension modules processing NumPy arrays, we could let a script generate much of the source code. The template from Chapter 10.2.9 is a good starting point for dumping code. Let the code generation script read a specification of the functions in the module. A suggested syntax for specifying a function may look like […]

External link to Automatic fine tuning of PostScript figures. The simviz1.py script from Chapter 2.3 creates…

Automatic fine tuning of PostScript figures. The simviz1.py script from Chapter 2.3 creates…

Automatic fine tuning of PostScript figures. The simviz1.py script from Chapter 2.3 creates PostScript plots like the one shown in Figure 2.2 on page 56. This plot is annotated with input data for the simulation. This is convenient when working with lots of plots in the investigation phase of a project, but the plot is not well suited for inclusion in a scientific paper. In […]

External link to Extend the class from Exericse 8.26. Extend and modify the Vec3D class from Exericse 8.26 such that.

Extend the class from Exericse 8.26. Extend and modify the Vec3D class from Exericse 8.26 such that.

Extend the class from Exericse 8.26. Extend and modify the Vec3D class from Exericse 8.26 such that operators like + also work with scalars: u = Vec3D(1, 0, 0) v = Vec3D(0, -0.2, 8) a = 1.2 u+v # vector addition a+v # scalar plus vector, yields (1.2, 1, 9.2) v+a # vector plus scalar, yields (1.2, 1, 9.2) In the same way we should […]

External link to Smoothing of 3D data. This is an extension of Exercise 9.3. Assume that we have noisy 3D data wi,j,k

Smoothing of 3D data. This is an extension of Exercise 9.3. Assume that we have noisy 3D data wi,j,k

Smoothing of 3D data. This is an extension of Exercise 9.3. Assume that we have noisy 3D data wi,j,k of a function w(x, y, z) at uniform points with indices (i, j, k) in a 3D unit cube, i, j, k = 0,…,n. An extension of the smoothing scheme in Exercise 9.3 to three dimensions reads Implement this scheme in three ways: plain Python loop, […]

External link to Compile callback functions in Exercise 9.1. The script from Exercise 9.1 calls a Python function for

Compile callback functions in Exercise 9.1. The script from Exercise 9.1 calls a Python function for

Compile callback functions in Exercise 9.1. The script from Exercise 9.1 calls a Python function for every point evaluation of the integrand. Such callbacks to Python are known to be expensive. As an alternative we can use the technique from Chapter 9.4.3: the integrand is specified as a mathematical formula stored in a string, the string is turned into a Fortran function, and this function […]

External link to Avoid Python callbacks in extension modules. Chapter 9.4.2 explains how to avoid callbacks to Python

Avoid Python callbacks in extension modules. Chapter 9.4.2 explains how to avoid callbacks to Python

Avoid Python callbacks in extension modules. Chapter 9.4.2 explains how to avoid callbacks to Python in a Fortran setting. The purpose of this exercise is to implement the same idea in a C/C++ setting. Consider the extension module made in src/py/mixed/Grid2D/C/clibcall From Python we will call gridloop1 and gridloop2 with a string specification of the function to be evaluated at each grid point: ext_gridloop.gridloop2(self.xcoor, self.ycoor, […]

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