LSS

Introduction

This package contains codes to create LSS catalogs and randoms.

The code for k+e corrections was originally copied from Sam Moore's github (https://github.com/SgmAstro/DESI)

Installation

First, git clone this repo:

If you want any change to the code to take place immediately, either:

Add the "bin" directory to your $PATH environment variable and add the "py" directory to your $PYTHONPATH environment variable.

e.g., if you git cloned from your $HOME directory

PYTHONPATH=$HOME/LSS/py:$PYTHONPATH# put your LSS directory first to be loaded with highest priority, because LSS modules may be already installed in other parts of PATH, e.g. the DESI environment
PATH=$HOME/LSS/bin:$PATH# if needed

Or (not actually recommended as this is less common usage)

Install (and uninstall) the current git checkout:

pip install -e . --user
pip uninstall LSS

You can also install a fixed version of the package:

pip install -e . --user

This will put the main scripts bin/ in your $PATH (typically in $HOME/.local/bin).

This code only works on NERSC, in the DESI or cosmodesi environments. Most work in the DESI environment: e.g., run

source /global/common/software/desi/desi_environment.sh main

Some code requires the cosmodesi environment to be loaded instead (e.g., for 2pt functions and/or reconstruction, regressis tools, etc.) Source it via

source /global/common/software/desi/users/adematti/cosmodesi_environment.sh main

or

source /global/common/software/desi/users/adematti/cosmodesi_environment.sh test

for some of the latest capabilities.

Structure

Versions developed for different specific settings are being created. These are in separate folders in the py/LSS directory. Common tools go in the LSS directory.

Scripts meant to act like executables are in the bin directory, but most of what gets run by the LSS pipeline is in the scripts directory. scripts/main/mkCat_main.py is the primary script for running LSS catalogs.

Examples

The full LSS pipeline for a data version is scripts/dark_LSScat_pipe.sh

These are from early developments and might still work

python bin/mkCat_SV3_simp.py --type QSO #This re-creates the version 1 catalogs writing them into your scratch by default. One should be able to test edits to the catalogs using this (starting from some pre-defined inputs). Available types are QSO, BGS_ANY, BGS_BRIGHT, ELG, ELG_HIP, LRG, MWS_ANY

python bin/gatherSV_zinfo_alltiles.py --type ELG --release blanc #this gathers all of the redshift info for SV1 ELG targets in the blanc release (daily supported as release, LRG, QSO, BGS_ANY are additional supported types as should be anything in the SV1 DESIMASK)

python bin/mkCat_singletile.py --type ELG --tile 80623 --night deep #this creates clustering catalogs for ELGs (LRG, QSO, BGS_ANY all work) on tile 80623 (see https://desi.lbl.gov/trac/wiki/SurveyValidation/SV1#ObservedTiles for the initial list) using the deep coadd (other options are a particular night or all, though all is not recommended) from the blanc release redshift data (use --release cascades to update to the more recent data). There are other options that use 'n' or 'y' to toggle whether a particular stage in the process gets run.

LSS

Introduction

This package contains codes to create LSS catalogs and randoms.

The code for k+e corrections was originally copied from Sam Moore's github (https://github.com/SgmAstro/DESI)

Installation

First, git clone this repo:

If you want any change to the code to take place immediately, either:

Add the "bin" directory to your $PATH environment variable and add the "py" directory to your $PYTHONPATH environment variable.

e.g., if you git cloned from your $HOME directory

PYTHONPATH=$HOME/LSS/py:$PYTHONPATH# put your LSS directory first to be loaded with highest priority, because LSS modules may be already installed in other parts of PATH, e.g. the DESI environment
PATH=$HOME/LSS/bin:$PATH# if needed

Or (not actually recommended as this is less common usage)

Install (and uninstall) the current git checkout:

pip install -e . --user
pip uninstall LSS

You can also install a fixed version of the package:

pip install -e . --user

This will put the main scripts bin/ in your $PATH (typically in $HOME/.local/bin).

This code only works on NERSC, in the DESI or cosmodesi environments. Most work in the DESI environment: e.g., run

source /global/common/software/desi/desi_environment.sh main

Some code requires the cosmodesi environment to be loaded instead (e.g., for 2pt functions and/or reconstruction, regressis tools, etc.) Source it via

source /global/common/software/desi/users/adematti/cosmodesi_environment.sh main

or

source /global/common/software/desi/users/adematti/cosmodesi_environment.sh test

for some of the latest capabilities.

Structure

Versions developed for different specific settings are being created. These are in separate folders in the py/LSS directory. Common tools go in the LSS directory.

Scripts meant to act like executables are in the bin directory, but most of what gets run by the LSS pipeline is in the scripts directory. scripts/main/mkCat_main.py is the primary script for running LSS catalogs.

Examples

The full LSS pipeline for a data version is scripts/dark_LSScat_pipe.sh

These are from early developments and might still work

python bin/mkCat_SV3_simp.py --type QSO #This re-creates the version 1 catalogs writing them into your scratch by default. One should be able to test edits to the catalogs using this (starting from some pre-defined inputs). Available types are QSO, BGS_ANY, BGS_BRIGHT, ELG, ELG_HIP, LRG, MWS_ANY

python bin/gatherSV_zinfo_alltiles.py --type ELG --release blanc #this gathers all of the redshift info for SV1 ELG targets in the blanc release (daily supported as release, LRG, QSO, BGS_ANY are additional supported types as should be anything in the SV1 DESIMASK)

python bin/mkCat_singletile.py --type ELG --tile 80623 --night deep #this creates clustering catalogs for ELGs (LRG, QSO, BGS_ANY all work) on tile 80623 (see https://desi.lbl.gov/trac/wiki/SurveyValidation/SV1#ObservedTiles for the initial list) using the deep coadd (other options are a particular night or all, though all is not recommended) from the blanc release redshift data (use --release cascades to update to the more recent data). There are other options that use 'n' or 'y' to toggle whether a particular stage in the process gets run.

LSS

Introduction

This package contains codes to create LSS catalogs and randoms.

The code for k+e corrections was originally copied from Sam Moore's github (https://github.com/SgmAstro/DESI)

Installation

First, git clone this repo:

If you want any change to the code to take place immediately, either:

Add the "bin" directory to your $PATH environment variable and add the "py" directory to your $PYTHONPATH environment variable.

e.g., if you git cloned from your $HOME directory

PYTHONPATH=$HOME/LSS/py:$PYTHONPATH# put your LSS directory first to be loaded with highest priority, because LSS modules may be already installed in other parts of PATH, e.g. the DESI environment
PATH=$HOME/LSS/bin:$PATH# if needed

Or (not actually recommended as this is less common usage)

Install (and uninstall) the current git checkout:

pip install -e . --user
pip uninstall LSS

You can also install a fixed version of the package:

pip install -e . --user

This will put the main scripts bin/ in your $PATH (typically in $HOME/.local/bin).

This code only works on NERSC, in the DESI or cosmodesi environments. Most work in the DESI environment: e.g., run

source /global/common/software/desi/desi_environment.sh main

Some code requires the cosmodesi environment to be loaded instead (e.g., for 2pt functions and/or reconstruction, regressis tools, etc.) Source it via

source /global/common/software/desi/users/adematti/cosmodesi_environment.sh main

or

source /global/common/software/desi/users/adematti/cosmodesi_environment.sh test

for some of the latest capabilities.

Structure

Versions developed for different specific settings are being created. These are in separate folders in the py/LSS directory. Common tools go in the LSS directory.

Scripts meant to act like executables are in the bin directory, but most of what gets run by the LSS pipeline is in the scripts directory. scripts/main/mkCat_main.py is the primary script for running LSS catalogs.

Examples

The full LSS pipeline for a data version is scripts/dark_LSScat_pipe.sh

These are from early developments and might still work

python bin/mkCat_SV3_simp.py --type QSO #This re-creates the version 1 catalogs writing them into your scratch by default. One should be able to test edits to the catalogs using this (starting from some pre-defined inputs). Available types are QSO, BGS_ANY, BGS_BRIGHT, ELG, ELG_HIP, LRG, MWS_ANY

python bin/gatherSV_zinfo_alltiles.py --type ELG --release blanc #this gathers all of the redshift info for SV1 ELG targets in the blanc release (daily supported as release, LRG, QSO, BGS_ANY are additional supported types as should be anything in the SV1 DESIMASK)

python bin/mkCat_singletile.py --type ELG --tile 80623 --night deep #this creates clustering catalogs for ELGs (LRG, QSO, BGS_ANY all work) on tile 80623 (see https://desi.lbl.gov/trac/wiki/SurveyValidation/SV1#ObservedTiles for the initial list) using the deep coadd (other options are a particular night or all, though all is not recommended) from the blanc release redshift data (use --release cascades to update to the more recent data). There are other options that use 'n' or 'y' to toggle whether a particular stage in the process gets run.

LSS

Introduction

This package contains codes to create LSS catalogs and randoms.

The code for k+e corrections was originally copied from Sam Moore's github (https://github.com/SgmAstro/DESI)

Installation

First, git clone this repo:

If you want any change to the code to take place immediately, either:

Add the "bin" directory to your $PATH environment variable and add the "py" directory to your $PYTHONPATH environment variable.

e.g., if you git cloned from your $HOME directory

PYTHONPATH=$HOME/LSS/py:$PYTHONPATH# put your LSS directory first to be loaded with highest priority, because LSS modules may be already installed in other parts of PATH, e.g. the DESI environment
PATH=$HOME/LSS/bin:$PATH# if needed

Or (not actually recommended as this is less common usage)

Install (and uninstall) the current git checkout:

pip install -e . --user
pip uninstall LSS

You can also install a fixed version of the package:

pip install -e . --user

This will put the main scripts bin/ in your $PATH (typically in $HOME/.local/bin).

This code only works on NERSC, in the DESI or cosmodesi environments. Most work in the DESI environment: e.g., run

source /global/common/software/desi/desi_environment.sh main

Some code requires the cosmodesi environment to be loaded instead (e.g., for 2pt functions and/or reconstruction, regressis tools, etc.) Source it via

source /global/common/software/desi/users/adematti/cosmodesi_environment.sh main

or

source /global/common/software/desi/users/adematti/cosmodesi_environment.sh test

for some of the latest capabilities.

Structure

Versions developed for different specific settings are being created. These are in separate folders in the py/LSS directory. Common tools go in the LSS directory.

Scripts meant to act like executables are in the bin directory, but most of what gets run by the LSS pipeline is in the scripts directory. scripts/main/mkCat_main.py is the primary script for running LSS catalogs.

Examples

The full LSS pipeline for a data version is scripts/dark_LSScat_pipe.sh

These are from early developments and might still work

python bin/mkCat_SV3_simp.py --type QSO #This re-creates the version 1 catalogs writing them into your scratch by default. One should be able to test edits to the catalogs using this (starting from some pre-defined inputs). Available types are QSO, BGS_ANY, BGS_BRIGHT, ELG, ELG_HIP, LRG, MWS_ANY

python bin/gatherSV_zinfo_alltiles.py --type ELG --release blanc #this gathers all of the redshift info for SV1 ELG targets in the blanc release (daily supported as release, LRG, QSO, BGS_ANY are additional supported types as should be anything in the SV1 DESIMASK)

python bin/mkCat_singletile.py --type ELG --tile 80623 --night deep #this creates clustering catalogs for ELGs (LRG, QSO, BGS_ANY all work) on tile 80623 (see https://desi.lbl.gov/trac/wiki/SurveyValidation/SV1#ObservedTiles for the initial list) using the deep coadd (other options are a particular night or all, though all is not recommended) from the blanc release redshift data (use --release cascades to update to the more recent data). There are other options that use 'n' or 'y' to toggle whether a particular stage in the process gets run.

LSS

Introduction

This package contains codes to create LSS catalogs and randoms.

The code for k+e corrections was originally copied from Sam Moore's github (https://github.com/SgmAstro/DESI)

Installation

First, git clone this repo:

If you want any change to the code to take place immediately, either:

Add the "bin" directory to your $PATH environment variable and add the "py" directory to your $PYTHONPATH environment variable.

e.g., if you git cloned from your $HOME directory

PYTHONPATH=$HOME/LSS/py:$PYTHONPATH# put your LSS directory first to be loaded with highest priority, because LSS modules may be already installed in other parts of PATH, e.g. the DESI environment
PATH=$HOME/LSS/bin:$PATH# if needed

Or (not actually recommended as this is less common usage)

Install (and uninstall) the current git checkout:

pip install -e . --user
pip uninstall LSS

You can also install a fixed version of the package:

pip install -e . --user

This will put the main scripts bin/ in your $PATH (typically in $HOME/.local/bin).

This code only works on NERSC, in the DESI or cosmodesi environments. Most work in the DESI environment: e.g., run

source /global/common/software/desi/desi_environment.sh main

Some code requires the cosmodesi environment to be loaded instead (e.g., for 2pt functions and/or reconstruction, regressis tools, etc.) Source it via

source /global/common/software/desi/users/adematti/cosmodesi_environment.sh main

or

source /global/common/software/desi/users/adematti/cosmodesi_environment.sh test

for some of the latest capabilities.

Structure

Versions developed for different specific settings are being created. These are in separate folders in the py/LSS directory. Common tools go in the LSS directory.

Scripts meant to act like executables are in the bin directory, but most of what gets run by the LSS pipeline is in the scripts directory. scripts/main/mkCat_main.py is the primary script for running LSS catalogs.

Examples

The full LSS pipeline for a data version is scripts/dark_LSScat_pipe.sh

These are from early developments and might still work

python bin/mkCat_SV3_simp.py --type QSO #This re-creates the version 1 catalogs writing them into your scratch by default. One should be able to test edits to the catalogs using this (starting from some pre-defined inputs). Available types are QSO, BGS_ANY, BGS_BRIGHT, ELG, ELG_HIP, LRG, MWS_ANY

python bin/gatherSV_zinfo_alltiles.py --type ELG --release blanc #this gathers all of the redshift info for SV1 ELG targets in the blanc release (daily supported as release, LRG, QSO, BGS_ANY are additional supported types as should be anything in the SV1 DESIMASK)

python bin/mkCat_singletile.py --type ELG --tile 80623 --night deep #this creates clustering catalogs for ELGs (LRG, QSO, BGS_ANY all work) on tile 80623 (see https://desi.lbl.gov/trac/wiki/SurveyValidation/SV1#ObservedTiles for the initial list) using the deep coadd (other options are a particular night or all, though all is not recommended) from the blanc release redshift data (use --release cascades to update to the more recent data). There are other options that use 'n' or 'y' to toggle whether a particular stage in the process gets run.

LSS

Introduction

This package contains codes to create LSS catalogs and randoms.

The code for k+e corrections was originally copied from Sam Moore's github (https://github.com/SgmAstro/DESI)

Installation

First, git clone this repo:

If you want any change to the code to take place immediately, either:

Add the "bin" directory to your $PATH environment variable and add the "py" directory to your $PYTHONPATH environment variable.

e.g., if you git cloned from your $HOME directory

PYTHONPATH=$HOME/LSS/py:$PYTHONPATH# put your LSS directory first to be loaded with highest priority, because LSS modules may be already installed in other parts of PATH, e.g. the DESI environment
PATH=$HOME/LSS/bin:$PATH# if needed

Or (not actually recommended as this is less common usage)

Install (and uninstall) the current git checkout:

pip install -e . --user
pip uninstall LSS

You can also install a fixed version of the package:

pip install -e . --user

This will put the main scripts bin/ in your $PATH (typically in $HOME/.local/bin).

This code only works on NERSC, in the DESI or cosmodesi environments. Most work in the DESI environment: e.g., run

source /global/common/software/desi/desi_environment.sh main

Some code requires the cosmodesi environment to be loaded instead (e.g., for 2pt functions and/or reconstruction, regressis tools, etc.) Source it via

source /global/common/software/desi/users/adematti/cosmodesi_environment.sh main

or

source /global/common/software/desi/users/adematti/cosmodesi_environment.sh test

for some of the latest capabilities.

Structure

Versions developed for different specific settings are being created. These are in separate folders in the py/LSS directory. Common tools go in the LSS directory.

Scripts meant to act like executables are in the bin directory, but most of what gets run by the LSS pipeline is in the scripts directory. scripts/main/mkCat_main.py is the primary script for running LSS catalogs.

Examples

The full LSS pipeline for a data version is scripts/dark_LSScat_pipe.sh

These are from early developments and might still work

python bin/mkCat_SV3_simp.py --type QSO #This re-creates the version 1 catalogs writing them into your scratch by default. One should be able to test edits to the catalogs using this (starting from some pre-defined inputs). Available types are QSO, BGS_ANY, BGS_BRIGHT, ELG, ELG_HIP, LRG, MWS_ANY

python bin/gatherSV_zinfo_alltiles.py --type ELG --release blanc #this gathers all of the redshift info for SV1 ELG targets in the blanc release (daily supported as release, LRG, QSO, BGS_ANY are additional supported types as should be anything in the SV1 DESIMASK)

python bin/mkCat_singletile.py --type ELG --tile 80623 --night deep #this creates clustering catalogs for ELGs (LRG, QSO, BGS_ANY all work) on tile 80623 (see https://desi.lbl.gov/trac/wiki/SurveyValidation/SV1#ObservedTiles for the initial list) using the deep coadd (other options are a particular night or all, though all is not recommended) from the blanc release redshift data (use --release cascades to update to the more recent data). There are other options that use 'n' or 'y' to toggle whether a particular stage in the process gets run.

LSS

Introduction

This package contains codes to create LSS catalogs and randoms.

The code for k+e corrections was originally copied from Sam Moore's github (https://github.com/SgmAstro/DESI)

Installation

First, git clone this repo:

If you want any change to the code to take place immediately, either:

Add the "bin" directory to your $PATH environment variable and add the "py" directory to your $PYTHONPATH environment variable.

e.g., if you git cloned from your $HOME directory

PYTHONPATH=$HOME/LSS/py:$PYTHONPATH# put your LSS directory first to be loaded with highest priority, because LSS modules may be already installed in other parts of PATH, e.g. the DESI environment
PATH=$HOME/LSS/bin:$PATH# if needed

Or (not actually recommended as this is less common usage)

Install (and uninstall) the current git checkout:

pip install -e . --user
pip uninstall LSS

You can also install a fixed version of the package:

pip install -e . --user

This will put the main scripts bin/ in your $PATH (typically in $HOME/.local/bin).

This code only works on NERSC, in the DESI or cosmodesi environments. Most work in the DESI environment: e.g., run

source /global/common/software/desi/desi_environment.sh main

Some code requires the cosmodesi environment to be loaded instead (e.g., for 2pt functions and/or reconstruction, regressis tools, etc.) Source it via

source /global/common/software/desi/users/adematti/cosmodesi_environment.sh main

or

source /global/common/software/desi/users/adematti/cosmodesi_environment.sh test

for some of the latest capabilities.

Structure

Versions developed for different specific settings are being created. These are in separate folders in the py/LSS directory. Common tools go in the LSS directory.

Scripts meant to act like executables are in the bin directory, but most of what gets run by the LSS pipeline is in the scripts directory. scripts/main/mkCat_main.py is the primary script for running LSS catalogs.

Examples

The full LSS pipeline for a data version is scripts/dark_LSScat_pipe.sh

These are from early developments and might still work

python bin/mkCat_SV3_simp.py --type QSO #This re-creates the version 1 catalogs writing them into your scratch by default. One should be able to test edits to the catalogs using this (starting from some pre-defined inputs). Available types are QSO, BGS_ANY, BGS_BRIGHT, ELG, ELG_HIP, LRG, MWS_ANY

python bin/gatherSV_zinfo_alltiles.py --type ELG --release blanc #this gathers all of the redshift info for SV1 ELG targets in the blanc release (daily supported as release, LRG, QSO, BGS_ANY are additional supported types as should be anything in the SV1 DESIMASK)

python bin/mkCat_singletile.py --type ELG --tile 80623 --night deep #this creates clustering catalogs for ELGs (LRG, QSO, BGS_ANY all work) on tile 80623 (see https://desi.lbl.gov/trac/wiki/SurveyValidation/SV1#ObservedTiles for the initial list) using the deep coadd (other options are a particular night or all, though all is not recommended) from the blanc release redshift data (use --release cascades to update to the more recent data). There are other options that use 'n' or 'y' to toggle whether a particular stage in the process gets run.

LSS

Introduction

This package contains codes to create LSS catalogs and randoms.

The code for k+e corrections was originally copied from Sam Moore's github (https://github.com/SgmAstro/DESI)

Installation

First, git clone this repo:

If you want any change to the code to take place immediately, either:

Add the "bin" directory to your $PATH environment variable and add the "py" directory to your $PYTHONPATH environment variable.

e.g., if you git cloned from your $HOME directory

PYTHONPATH=$HOME/LSS/py:$PYTHONPATH# put your LSS directory first to be loaded with highest priority, because LSS modules may be already installed in other parts of PATH, e.g. the DESI environment
PATH=$HOME/LSS/bin:$PATH# if needed

Or (not actually recommended as this is less common usage)

Install (and uninstall) the current git checkout:

pip install -e . --user
pip uninstall LSS

You can also install a fixed version of the package:

pip install -e . --user

This will put the main scripts bin/ in your $PATH (typically in $HOME/.local/bin).

This code only works on NERSC, in the DESI or cosmodesi environments. Most work in the DESI environment: e.g., run

source /global/common/software/desi/desi_environment.sh main

Some code requires the cosmodesi environment to be loaded instead (e.g., for 2pt functions and/or reconstruction, regressis tools, etc.) Source it via

source /global/common/software/desi/users/adematti/cosmodesi_environment.sh main

or

source /global/common/software/desi/users/adematti/cosmodesi_environment.sh test

for some of the latest capabilities.

Structure

Versions developed for different specific settings are being created. These are in separate folders in the py/LSS directory. Common tools go in the LSS directory.

Scripts meant to act like executables are in the bin directory, but most of what gets run by the LSS pipeline is in the scripts directory. scripts/main/mkCat_main.py is the primary script for running LSS catalogs.

Examples

The full LSS pipeline for a data version is scripts/dark_LSScat_pipe.sh

These are from early developments and might still work

python bin/mkCat_SV3_simp.py --type QSO #This re-creates the version 1 catalogs writing them into your scratch by default. One should be able to test edits to the catalogs using this (starting from some pre-defined inputs). Available types are QSO, BGS_ANY, BGS_BRIGHT, ELG, ELG_HIP, LRG, MWS_ANY

python bin/gatherSV_zinfo_alltiles.py --type ELG --release blanc #this gathers all of the redshift info for SV1 ELG targets in the blanc release (daily supported as release, LRG, QSO, BGS_ANY are additional supported types as should be anything in the SV1 DESIMASK)

python bin/mkCat_singletile.py --type ELG --tile 80623 --night deep #this creates clustering catalogs for ELGs (LRG, QSO, BGS_ANY all work) on tile 80623 (see https://desi.lbl.gov/trac/wiki/SurveyValidation/SV1#ObservedTiles for the initial list) using the deep coadd (other options are a particular night or all, though all is not recommended) from the blanc release redshift data (use --release cascades to update to the more recent data). There are other options that use 'n' or 'y' to toggle whether a particular stage in the process gets run.

Name		Name	Last commit message	Last commit date
.github/workflows		.github/workflows
Old		Old
Sandbox		Sandbox
backup		backup
bin		bin
data		data
doc		doc
py/LSS		py/LSS
scripts		scripts
.gitignore		.gitignore
.gitmodules		.gitmodules
.readthedocs.yml		.readthedocs.yml
LICENSE.rst		LICENSE.rst
README.rst		README.rst
pyproject.toml		pyproject.toml
requirements.txt		requirements.txt
setup.py		setup.py

Name		Name	Last commit message	Last commit date
.github/workflows		.github/workflows
Old		Old
Sandbox		Sandbox
backup		backup
bin		bin
data		data
doc		doc
py/LSS		py/LSS
scripts		scripts
.gitignore		.gitignore
.gitmodules		.gitmodules
.readthedocs.yml		.readthedocs.yml
LICENSE.rst		LICENSE.rst
README.rst		README.rst
pyproject.toml		pyproject.toml
requirements.txt		requirements.txt
setup.py		setup.py

Name		Name	Last commit message	Last commit date
.github/workflows		.github/workflows
Old		Old
Sandbox		Sandbox
backup		backup
bin		bin
data		data
doc		doc
py/LSS		py/LSS
scripts		scripts
.gitignore		.gitignore
.gitmodules		.gitmodules
.readthedocs.yml		.readthedocs.yml
LICENSE.rst		LICENSE.rst
README.rst		README.rst
pyproject.toml		pyproject.toml
requirements.txt		requirements.txt
setup.py		setup.py

Name		Name	Last commit message	Last commit date
.github/workflows		.github/workflows
Old		Old
Sandbox		Sandbox
backup		backup
bin		bin
data		data
doc		doc
py/LSS		py/LSS
scripts		scripts
.gitignore		.gitignore
.gitmodules		.gitmodules
.readthedocs.yml		.readthedocs.yml
LICENSE.rst		LICENSE.rst
README.rst		README.rst
pyproject.toml		pyproject.toml
requirements.txt		requirements.txt
setup.py		setup.py

Name		Name	Last commit message	Last commit date
.github/workflows		.github/workflows
Old		Old
Sandbox		Sandbox
backup		backup
bin		bin
data		data
doc		doc
py/LSS		py/LSS
scripts		scripts
.gitignore		.gitignore
.gitmodules		.gitmodules
.readthedocs.yml		.readthedocs.yml
LICENSE.rst		LICENSE.rst
README.rst		README.rst
pyproject.toml		pyproject.toml
requirements.txt		requirements.txt
setup.py		setup.py

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Latest commit

History

Folders and files

Repository files navigation

LSS

Introduction

Installation

Structure

Examples

About

Resources

Stars

Watchers

Forks

Releases

Packages

Used by

Contributors

Languages

Uh oh!

Latest commit

History

Folders and files

Repository files navigation

LSS

Introduction

Installation

Structure

Examples

About

Resources

Stars

Watchers

Forks

Releases

Packages

Used by

Contributors

Languages