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Find an error in a program. Consider the following program for computing f(x)=erxsin(mx)+esxsin(nx) def f(x,m,n,r,s): return expsin (x,r,m)+expsin(x,s,n) x=2.5 print f(x,0.1,0.2,1,1) from math import exp, sin def expsin (x,p,q): return exp(px)sin(qx) Running this code results in NameError: global name 'expsin' is not defined What is the problem? Simulate the program flow by hand or use the debugger to step from line to line. Correct the program.

Short Answer

Expert verified
The issue was the order of function definitions; `expsin` was moved above `f`. Corrected syntax errors in `expsin`.

Step by step solution

01

Understand the error

The error message `NameError: global name 'expsin' is not defined` suggests that the function `expsin` is being called before it is defined. This is because in Python, functions must be defined before they are used in the code, usually preceding any calls to it in the script.
02

Check the code execution order

Notice that the call to `f(x, 0.1, 0.2, 1, 1)` is happening before the `expsin(x, p, q)` function is defined in the script. In Python, functions should be declared before they are used, so we need to move the function definition above the call.
03

Fix the function definition order

Move the `expsin(x, p, q)` function definition above the `f(x, m, n, r, s)` function, ensuring that the `expsin` function is defined before it is called within `f`.
04

Correct syntax errors

Correct the syntax inside the `expsin` function: replace `p^{* x}` with `p * x`, and `q^{* x}` with `q * x`. Use Python multiplication instead of the syntax that seems like exponentiation. Change them to `p * x` and `q * x`, respectively.
05

Final corrected code

The corrected code should look like this: ```python from math import exp, sin def expsin(x, p, q): return exp(p * x) * sin(q * x) def f(x, m, n, r, s): return expsin(x, r, m) + expsin(x, s, n) x = 2.5 print(f(x, 0.1, 0.2, 1, 1)) ```

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Function Definition
In Python, a function is defined using the `def` keyword followed by the function name and a set of parentheses containing any parameters. This line ends with a colon, and the function's contents follow on indented lines. For example:
  • `def my_function(arg1, arg2):`
  • `# Code block here`
This is important because Python script reads top to bottom. If a function is called before it is defined, Python raises a `NameError`. In the case of the provided code, the function `expsin` is called in `f` before its own definition, leading to the error.

To avoid this, ensure all functions are defined before they are used in any operation or another function. This means arranging your code logically so that function definitions come first.
Syntax Errors
Syntax errors are mistakes in the use of the language. These can include missing colons, incorrect function calls, or wrong operators. In the given programming problem, a syntax error is observed in `expsin` where incorrect syntax for multiplication is used.

Instead of using `^{* x}`, which is incorrect and leads to errors, proper multiplication should be written as `* x`. For example, if you want to multiply two variables, it should be `a * b` without using any caret or additional symbols. Careful attention to syntax helps prevent simple errors that can stop a program from running.
Debugging
Debugging is a critical skill in programming. It involves identifying, analyzing, and correcting issues in your code. Common errors like the `NameError` in our code occur because something is being called that hasn't been defined. This specific type of error is often due to incorrect function call sequences.

For effective debugging:
  • Run your code gradually, stepping through it line by line to understand the flow.
  • Check variable and function names for typos or mismatches.
  • Ensure functions are defined before they are used.
By taking logical steps and examining your code's execution order, you can troubleshoot and fix problems systematically given you proper understanding.
Mathematical Functions
In programming, mathematical functions such as those provided in Python's `math` module are invaluable. These include functions like `exp(x)` for exponential calculations and `sin(x)` for sine calculations. In the module imported in the example, these functions are used to calculate expressions for `f(x)` and `expsin(x, p, q)`.

Remember that in mathematical expressions, you're often combining several calculations:
  • Exponential: `exp(p * x)` computes epx.
  • Sine: `sin(q * x)` calculates the sine of qx radians.
Incorrect use or calling these functions without appropriate mathematical understanding or syntax can result in logical or runtime errors. Approach composing these expressions step-by-step and ensure you validate each part of the equations used in your functions.

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Most popular questions from this chapter

Compute velocity and acceleration from position data; one dimension. Let x(t) be the position of an object moving along the x axis. The velocity v(t) and acceleration a(t) can be approximately computed by the formulas v(t)x(t+Δt)x(tΔt)2Δt,a(t)x(t+Δt)2x(t)+x(tΔt)Δt2 where Δt is a small time interval. As Δt0, the above formulas approach the first and second derivative of x(t), which coincide with the well-known definitions of velocity and acceleration. Write a function kinematics (x,t,dt=1E4) for computing x,v, and a time t, using the above formulas for v and a with Δt corresponding to dt. Let the function return x,v, and a. Test the function with the position function x(t)=e(t4)2 and the time point t=5 (use Δt=105). Name of program: kinematics 1.py.

Compute the area of an arbitrary triangle. An arbitrary triangle can be described by the coordinates of its three vertices: (x1,y1),(x2,y2),(x3,y3), numbered in a counterclockwise direction. The area of the triangle is given by the formula A=12|x2y3x3y2x1y3+x3y1+x1y2x2y1| Write a function area(vertices) that returns the area of a triangle whose vertices are specified by the argument vertices, which is a nested list of the vertex coordinates. For example, vertices can be [[0,0],[1,0],[0,2]] if the three corners of the triangle have coordinates (0,0),(1,0), and (0,2). Test the area function on a triangle with known area. Name of program file: area_triangle.py.

Make a table for approximations of cosx. The function cos(x) can be approximated by the sum C(x;n)=j=0ncj where cj=cj1x22j(2j1),j=1,2,,n and c0=1. Make a Python function for computing C(x;n). (Hint: Represent cj by a variable term, make updates term = -term*... inside a for loop, and accumulate the term variable in a variable for the sum.) Also make a function for writing out a table of the errors in the approximation C(x;n) of cos(x) for some x and n values given as arguments to the function. Let the x values run downward in the rowsand the n values to the right in the columns. For example, a table for x=4π,6π,8π,10π and n=5,25,50,100,200 can look like x5255010020012.56641.61e+041.87e111.74e121.74e121.74e1218.84961.22e+062.28e027.12e117.12e117.12e1125.13272.41e+076.58e+044.87e074.87e074.87e0731.41592.36e+086.52e+091.65e041.65e041.65e04 Observe how the error increases with x and decreases with n. Name of program file: cossum.py.

Find the max/min elements in a list. Given a list a, the max function in Python's standard library computes the largest element in a: max(a). Similarly, min(a) returns the smallest element in a. The purpose of this exercise is to write your own max and min function. Use the following technique: Initialize a variable max_elem by the first element in the list, then visit all the remaining elements (a [1:]), compare each element to max_elem, and if greater, make max_elem refer to that element. Use a similar technique to compute the minimum element. Collect the two pieces of code in functions. Name of program file: maxmin_list. py.

Determine the types of some objects. Consider the following calls to the makelist function from page 96: 11= makelist (0,100,1) 12= makelist (0,100,1.0) 13= makelist (1,1,0.1) 14= makelist (10,20,20) 15= makelist ([1,2],[3,4],[5]) 16= makelist ((1,1,1), ('myfile. dat', 'yourfile. dat')) 17= makelist('myfile.dat', 'yourfile.dat', 'herfile.dat') Determine in each case what type of objects that become elements in the returned list and what the contents of value is after one pass in the loop. Hint: Simulate the program by hand and check out in an interactive session what type of objects that result from the arithmetics. It is only necessary to simulate one pass of the loop to answer the questions. Some of the calls will lead to infinite loops if you really execute the makelist calls on a computer. This exercise demonstrates that we can write a function and have in mind certain types of arguments, here typically int and float objects. However, the function can be used with other (originally unintended) arguments, such as lists and strings in the present case, leading to strange and irrelevant behavior (the problem here lies in the boolean expression value <= stop which is meaningless for some of the arguments).

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