4.6.2 pde.tools.config module

Handles configuration variables of the package.

Config	Class handling the package configuration.
get_package_versions	Tries to load certain python packages and returns their version.
parse_version_str	Helper function converting a version string into a list of integers.
check_package_version	Checks whether a package has a sufficient version.
packages_from_requirements	Read package names from a requirements file.
get_ffmpeg_version	Read version number of ffmpeg program.
is_hpc_environment	Check whether the code is running in a high-performance computing environment.
environment	Obtain information about the compute environment.

class Config(items=None, mode='update')

Bases: UserDict

Class handling the package configuration.

Parameters:

• items (dict, optional) – Configuration values that should be added or overwritten to initialize the configuration.

• mode (str) –

  Defines the mode in which the configuration is used. Possible values are

  • insert: any new configuration key can be inserted

  • update: only the values of pre-existing items can be updated

  • locked: no values can be changed

  Note that the items specified by items will always be inserted, independent of the mode.

to_dict()

Convert the configuration to a simple dictionary.

Returns:

A representation of the configuration in a normal dict.

Return type:

dict

use_multithreading()

Determine whether multithreading should be used in numba-compiled code.

This method checks the configuration setting for numba.multithreading and determines whether multithreading should be enabled based on the value of this setting. The possible values for numba.multithreading are: - ‘always’: Multithreading is always enabled. - ‘never’: Multithreading is never enabled. - ‘only_local’: Multithreading is enabled only if the code is not running in a high-performance computing (HPC) environment.

Returns:

True if multithreading should be enabled, False otherwise.

Return type:

bool

Raises:

• ValueError – If the numba.multithreading setting is not one of the expected

• values ('always', 'never', 'only_local'). –

check_package_version(package_name, min_version)

Checks whether a package has a sufficient version.

Parameters:

• package_name (str)

• min_version (str)

environment()

Obtain information about the compute environment.

Returns:

information about the python installation and packages

Return type:

dict

get_ffmpeg_version()

Read version number of ffmpeg program.

Return type:

str | None

get_package_versions(packages, *, na_str='not available')

Tries to load certain python packages and returns their version.

Parameters:

• packages (list) – The names of all packages

• na_str (str) – Text to return if package is not available

Returns:

Dictionary with version for each package name

Return type:

dict

is_hpc_environment()

Check whether the code is running in a high-performance computing environment.

Returns:

True if running in an HPC environment, False otherwise.

Return type:

bool

packages_from_requirements(requirements_file)

Read package names from a requirements file.

Parameters:

requirements_file (str or Path) – The file from which everything is read

Returns:

list of package names

Return type:

list[str]

parse_version_str(ver_str)

Helper function converting a version string into a list of integers.

Parameters:

ver_str (str)

Return type:

list[int]