Python-based Project Euler command line tool.

EulerPy is a command line tool designed to streamline the process of solving Project Euler problems using Python. The package focuses on two main tasks: firstly, to create Python “template” files with a docstring containing the text of a Project Euler problem for ease-of-reference, and secondly, to check whether a problem has been solved correctly.

## Installation

EulerPy can be installed (and updated) from PyPI using pip:

$ pip install --upgrade EulerPy

Conversely, it can be uninstalled using pip as well.

$ pip uninstall EulerPy

## Usage

First, you’ll want to `cd` to the directory where your Project Euler files
are being stored.

```
$ mkdir ~/project-euler
$ cd ~/project-euler
```

At this point, you’ll probably want to run the `euler` command, which will
prompt to create `001.py`, a file containing the text to Project Euler problem
#1 as its docstring.

$ euler No Project Euler files found in the current directory. Generate file for problem #1? [Y/n]: Y Successfully created "001.py". $ cat 001.py """ Project Euler Problem #1 ========================= If we list all the natural numbers below 10 that are multiples of 3 or 5, we get 3, 5, 6 and 9. The sum of these multiples is 23. Find the sum of all the multiples of 3 or 5 below 1000. """

At this point, you can open up your editor of choice and code up a solution
to the problem, making sure to `print()` the output. Once you feel that
you’ve solved the problem, run the `euler` command again to verify your
solution is correct. If the answer is correct, the solution will be printed
in green and the script will ask to generate the next problem file. If
incorrect, the solution will be printed in red instead.

$ euler Checking "001.py" against solution: [no output] # (output in red) $ echo print 42 >> 001.py $ euler Checking "001.py" against solution: 42 # (output in green) Generate file for problem #2? [Y/n]: Y Successfully created "002.py".

EulerPy also comes with five options that act as commands. (The `--help`
option can be used to display a summary of all of the options.)

`--cheat / -c`

The `--cheat` option will print the answer to a problem after prompting
the user to ensure that they want to see it. If no problem argument is given,
it will print the answer to the problem that they are currently working on.

$ euler --cheat View answer to problem #2? [y/N]: Y The answer to problem #2 is <redacted>. $ euler --cheat 100 View answer to problem #100? [y/N]: Y The answer to problem #100 is <redacted>.

`--generate / -g`

The `--generate` option will create a Python file for the given problem
number. If no problem number is given, it will overwrite the most recent
problem with a file containing only the problem docstring (after prompting
the user).

$ euler --generate Generate file for problem #2? [Y/n]: Y "002.py" already exists. Overwrite? [y/N]: Successfully created "002.py". $ euler --generate 5 Generate file for problem #5? [Y/n]: n Aborted!

`euler <problem>` is equivalent to `euler --generate <problem>` if the file
**does not** exist.

$ cat 005.py cat: 005.py: No such file or directory $ euler 5 Generate file for problem #5? [Y/n]: n Aborted!

`--preview / -p`

The `--preview` option will print the text of a given problem to the terminal;
if no problem number is given, it will print the current problem instead.

$ euler --preview Project Euler Problem #2 Each new term in the Fibonacci sequence is generated by adding the previous two terms. By starting with 1 and 2, the first 10 terms will be: 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, ... Find the sum of all the even-valued terms in the sequence which do not exceed four million. $ euler --preview 3 Project Euler Problem #3 The prime factors of 13195 are 5, 7, 13 and 29. What is the largest prime factor of the number 600851475143?

`--skip / -s`

The `--skip` option will prompt the user to “skip” to the next problem.

$ euler --skip Current problem is problem #2. Generate file for problem #3? [y/N]: Y Successfully created "003.py".

`--verify / -v`

The `--verify` option will check whether a given problem file outputs the
correct solution to the problem. If no problem number is given, it will
check the current problem.

$ euler --verify Checking "003.py" against solution: [no output] # (output in red) $ euler --verify 1 Checking "001.py" against solution: <redacted> # (output in green)

`euler <problem>` is equivalent to `euler --verify <problem>` if the file
**does** exist.

$ cat 001.py """ Project Euler Problem #1 ========================= ... """ $ euler 1 Checking "001.py" against solution: <redacted>

## Contributing

See CONTRIBUTING.rst.

## Miscellaneous

The text for problems 1 through 202 were derived from Kyle Keen’s Local Euler project, and the solutions found in solutions.txt were derived from the projecteuler-solutions wiki.

See this blog post for insight into the development process.

## License

EulerPy is licensed under the MIT License.

## Release History

## Download Files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

File Name & Checksum SHA256 Checksum Help | Version | File Type | Upload Date |
---|---|---|---|

EulerPy-1.0.3.tar.gz (62.4 kB) Copy SHA256 Checksum SHA256 | – | Source | Jun 29, 2014 |