1.1.2.1. pmpm.core module#

pmpm core classes.

It should implements the command line of the package manager, as well as its main logic.

class pmpm.core.CondaOnlyEnvironment(prefix: ~pathlib.Path, file: ~pathlib.Path | None = None, conda_channels: list[str] = <factory>, conda_dependencies: list[str] = <factory>, pip_dependencies: list[str] = <factory>, dependencies: list[str] = <factory>, python_version: str = '3.10', conda_prefix_name: str = '', compile_prefix_name: str = '', download_prefix_name: str = 'git', conda: str = 'mamba', sub_platform: str = '', skip_test: bool = False, skip_conda: bool = False, fast_update: bool = False, install_ipykernel: bool = True, update: bool | None = None, arch: str = 'x86-64-v3', tune: str = 'generic')[source]#

Bases: InstallEnvironment

Using only the stack provided by conda to compile.

Parameters:

  • prefix – the prefix path of the environment.

  • file – the YAML file of the environment definition.

  • conda_channels – conda channels for packages to be searched in.

  • conda_dependencies – dependencies install via conda.

  • pip_dependencies – dependencies install via pip.

  • dependencies – dependencies install via pmpm.

  • python_version – Python version to be installed.

  • conda_prefix_name – the subdirectory within prefix for conda.

  • compile_prefix_name – the subdirectory within prefix for compiled packages from dependencies.

  • download_prefix_name – the subdirectory within prefix for downloaded source codes from dependencies.

  • conda – executable name for conda solver, can be mamba, conda.

  • sub_platform – such as ubuntu, arch, macports, homebrew, etc.

  • skip_test – skip test if specified.

  • skip_conda – skip installing/updating conda.

  • fast_update – assume minimal change to source of compiled package and perform fast update.

  • install_ipykernel – install this environment as an ipykernel.

  • update – if updating all packages. If neither –update nor –no-update is provided, determine automatically.

  • arch – -march for compilation, for example, native or x86-64-v3

  • tune – -mtune for compilation, for example, native or generic

compile_prefix_name: str = ''#
conda_prefix_name: str = ''#
property environ: dict[str, str]#

Return a dictionary of environment variables.

property environ_with_all_paths: dict[str, str]#

Return a dictionary of environment variables with all prefixes prepended to PATH.

property environ_with_compile_path: dict[str, str]#

Return a dictionary of environment variables with compile prefix prepended to PATH.

property environ_with_conda_path: dict[str, str]#

Return a dictionary of environment variables with conda prefix prepended to PATH.

environment_variable: ClassVar[tuple[str, ...]] = ('CONDA_EXE', 'CONDA_PREFIX', 'HOME', 'TERM')#
sanitized_path: ClassVar[tuple[str, ...]] = ('/bin', '/usr/bin')#
class pmpm.core.InstallEnvironment(prefix: ~pathlib.Path, file: ~pathlib.Path | None = None, conda_channels: list[str] = <factory>, conda_dependencies: list[str] = <factory>, pip_dependencies: list[str] = <factory>, dependencies: list[str] = <factory>, python_version: str = '3.10', conda_prefix_name: str = 'conda', compile_prefix_name: str = 'compile', download_prefix_name: str = 'git', conda: str = 'mamba', sub_platform: str = '', skip_test: bool = False, skip_conda: bool = False, fast_update: bool = False, install_ipykernel: bool = True, update: bool | None = None, arch: str = 'x86-64-v3', tune: str = 'generic')[source]#

Bases: object

A Generic install environment.

Parameters:

  • prefix – the prefix path of the environment.

  • file – the YAML file of the environment definition.

  • conda_channels – conda channels for packages to be searched in.

  • conda_dependencies – dependencies install via conda.

  • pip_dependencies – dependencies install via pip.

  • dependencies – dependencies install via pmpm.

  • python_version – Python version to be installed.

  • conda_prefix_name – the subdirectory within prefix for conda.

  • compile_prefix_name – the subdirectory within prefix for compiled packages from dependencies.

  • download_prefix_name – the subdirectory within prefix for downloaded source codes from dependencies.

  • conda – executable name for conda solver, can be mamba, conda.

  • sub_platform – such as ubuntu, arch, macports, homebrew, etc.

  • skip_test – skip test if specified.

  • skip_conda – skip installing/updating conda.

  • fast_update – assume minimal change to source of compiled package and perform fast update.

  • install_ipykernel – install this environment as an ipykernel.

  • update – if updating all packages. If neither –update nor –no-update is provided, determine automatically.

  • arch – -march for compilation, for example, native or x86-64-v3

  • tune – -mtune for compilation, for example, native or generic

arch: str = 'x86-64-v3'#
property compile_prefix: Path#

Path to the prefix for the compiled stack by pmpm.

compile_prefix_name: str = 'compile'#
conda: str = 'mamba'#
property conda_bin: Path#

Path to the conda binary.

conda_channels: list[str]#
conda_dependencies: list[str]#
conda_environment_filename: ClassVar[str] = 'environment.yml'#
property conda_environment_path: Path#

Path to the YAML file of the environment definition.

property conda_prefix: Path#

Path to the prefix for conda.

conda_prefix_name: str = 'conda'#
property conda_root_prefix: Path#

Path to the root prefix of conda.

cpu_count: ClassVar[int] = 2#
dependencies: list[str]#
property dependencies_versioned: dict[str, str | None]#

Return a dictionary of dependencies with version.

download_prefix_name: str = 'git'#
property downoad_prefix: Path#

Path to the prefix for the downloaded source codes by pmpm.

property environ: dict[str, str]#

Return a dictionary of environment variables.

property environ_with_all_paths: dict[str, str]#

Return a dictionary of environment variables with all prefixes prepended to PATH.

property environ_with_compile_path: dict[str, str]#

Return a dictionary of environment variables with compile prefix prepended to PATH.

property environ_with_conda_path: dict[str, str]#

Return a dictionary of environment variables with conda prefix prepended to PATH.

fast_update: bool = False#
file: Path | None = None#
classmethod from_dict(data: PMPM_YAML_SPEC) → InstallEnvironment[source]#

Construct an environment from a dictionary.

install_ipykernel: bool = True#
property is_darwin: bool#

Return True if the system is macOS.

property is_linux: bool#

Return True if the system is Linux.

property mamba_bin: Path#

Path to the mamba binary.

property name: str#

Return the name of the environment.

pip_dependencies: list[str]#
prefix: Path#
python_version: str = '3.10'#
run_all() → None[source]#

Run all steps to install/update the environment.

skip_conda: bool = False#
skip_test: bool = False#
sub_platform: str = ''#
supported_systems: ClassVar[tuple[str, ...]] = ('Linux', 'Darwin')#
system: ClassVar[str] = 'Linux'#
property to_dict: PMPM_YAML_SPEC#

Return a dictionary representation of the environment.

tune: str = 'generic'#
update: bool | None = None#
write_dict() → None[source]#

Write the environment definition to a YAML file.

pmpm.core.cli() → None[source]#

Command line interface for pmpm.