A script to convert a Python project declared on a pyproject.toml to a conda environment.
Project description
pyproject2conda
A script to convert pyproject.toml dependencies to environment.yaml files.
Overview
The main goal of pyproject2conda is to provide a means to keep all basic
dependency information, for both pip based and conda based environments, in
pyproject.toml. I often use a mix of pip and conda when developing packages,
and in my everyday workflow. Some packages just aren't available on both. If you
use poetry, I'd highly recommend poetry2conda.
Features
- Automatic creation of
environment.yamlandrequirements.txtfiles frompyproject.toml. - Simple remapping of
pypipackage name tocondapackage name when creatingenvironment.yamlfiles. - pre-commit hooks to automatically keep dependency files up to data.
Status
This package is actively used by the author, but is still very much a work in progress. Please feel free to create a pull request for wanted features and suggestions!
Pre-commit hooks
pyproject2conda works with pre-commit. Hooks are available for the
project, yaml, and requirements subcommands described below:
- repo: https://github.com/usnistgov/pyproject2conda
rev: { version } # replace with current version
hooks:
- id: pyproject2conda-project
- id: pyproject2conda-yaml
- id: pyproject2conda-requirements
For yaml and requirements, you can override the default behavior (of
creating environment/requirement files from the dependency-group dev) by
passing in args. For example, you could use the following to create an
environment file with the extra dev-complete
- repo: https://github.com/usnistgov/pyproject2conda
rev: { version } # replace with current version
hooks:
- id: pyproject2conda-yaml
args: ["-e", "dev-complete", "-o", "environment-dev.yaml", "-w", "force"]
Note that if called from pre-commit (detected by the presence of PRE_COMMIT
environment variable), the default is to set --custom-command="pre-commit".
You can explicitly pass in --custom-command to override this.
Installation
Use one of the following to install pyproject2conda:
$ pip/pipx/uvx install pyproject2conda
or
$ conda/condax install -c conda-forge pyproject2conda
If using pip, to install with rich and shellingham support, either install them your self, or use:
$ pip/pipx/uvx install pyproject2conda[all]
The conda-forge distribution of typer (which pyproject2conda uses) installs
rich and shellingham by default.
Example usage
Basic usage
Consider the toml file
test-pyproject.toml.
[project]
name = "hello"
requires-python = ">=3.8,<3.11"
dependencies = [
"athing", #
"bthing",
"cthing; python_version < '3.10'",
]
[project.optional-dependencies]
test = [
"pandas", #
"pytest",
]
dev-extras = ["matplotlib"]
dev = ["hello[test]", "hello[dev-extras]"]
dist-pypi = [
# this is intended to be parsed with --skip-package option
"setuptools",
"build",
]
[tool.pyproject2conda.dependencies]
athing = { pip = true }
bthing = { skip = true, packages = "bthing-conda" }
cthing = { channel = "conda-forge" }
pytest = { channel = "conda-forge" }
matplotlib = { skip = true, packages = [
"additional-thing; python_version < '3.9'",
"conda-matplotlib"
] }
build = { channel = "pip" }
# ...
Note the table [tool.pyproject2conda.dependencies]. This table takes as keys
the dependency names from project.dependencies or
project.optional-dependencies, and as values a mapping with keys:
pip: iftrue, specify install via pip inenvironment.yamlfileskip: iftrue, skip the dependencychannel: conda-channel to use for this dependencypackages: Additional packages to include inenvironment.yamlfile
So, if we run the following, we get:
$ pyproject2conda yaml -f tests/data/test-pyproject.toml
channels:
- conda-forge
dependencies:
- bthing-conda
- conda-forge::cthing
- pip
- pip:
- athing
By default, the python version is not included in the resulting conda output. To
include the specification from pyproject.toml, use --python-include infer
option:
$ pyproject2conda yaml -f tests/data/test-pyproject.toml --python-include infer
channels:
- conda-forge
dependencies:
- python>=3.8,<3.11
- bthing-conda
- conda-forge::cthing
- pip
- pip:
- athing
Specify python version
To specify a specific value of python in the output, pass a value with:
$ pyproject2conda yaml -f tests/data/test-pyproject.toml --python-include \
python=3.9
channels:
- conda-forge
dependencies:
- python=3.9
- bthing-conda
- conda-forge::cthing
- pip
- pip:
- athing
Note that this is for including python in the resulting environment file.
You can also constrain packages by the python version using the standard
pyproject.toml syntax "...; python_version < 'some-version-number'". For is
parsed for both the pip packages and conda packages:
$ pyproject2conda yaml -f tests/data/test-pyproject.toml --python-version 3.10
channels:
- conda-forge
dependencies:
- bthing-conda
- pip
- pip:
- athing
It is common to want to specify the python version and include it in the resulting environment file. You could, for example use:
$ pyproject2conda yaml -f tests/data/test-pyproject.toml --python-version 3.10 \
--python-include python=3.10
channels:
- conda-forge
dependencies:
- python=3.10
- bthing-conda
- pip
- pip:
- athing
Because this is common, you can also just pass the option -p/--python:
$ pyproject2conda yaml -f tests/data/test-pyproject.toml --python 3.10
channels:
- conda-forge
dependencies:
- python=3.10
- bthing-conda
- pip
- pip:
- athing
Passing --python="default" will extract the python version from
.python-version file. Passing --python value "lowest" or "highest" will
extract the lowest or highest python version, respectively, from the
project.classifiers table of the pyproject.toml file. Using the option
python="all" in pyproject.toml will include all python versions in the
project.classifiers table.
Adding extra conda dependencies and pip requirements
You can also add additional conda and pip dependencies with the flags
-d/--deps and -r/--reqs, respectively. Adding the last example:
$ pyproject2conda yaml -f tests/data/test-pyproject.toml -d dep -r req
channels:
- conda-forge
dependencies:
- bthing-conda
- conda-forge::cthing
- dep
- pip
- pip:
- athing
- req
These will also obey dependencies like dep:python_version<={version}. Pass the
flags multiple times to pass multiple dependencies.
Command "aliases"
The name pyproject2conda can be a bit long to type. For this reason, the
package also ships with the alias p2c, which has the exact same functionality.
Additionally, the subcommands can be shortened to a unique match:
$ p2c y -f tests/data/test-pyproject.toml --python 3.10
channels:
- conda-forge
dependencies:
- python=3.10
- bthing-conda
- pip
- pip:
- athing
You can also call with python -m pyproject2conda.
Installing extras
Given the extra dependency:
# ...
[project.optional-dependencies]
test = [
"pandas", #
"pytest",
]
dev-extras = ["matplotlib"]
dev = ["hello[test]", "hello[dev-extras]"]
dist-pypi = [
# this is intended to be parsed with --skip-package option
"setuptools",
"build",
]
# ...
and running the following gives:
$ pyproject2conda yaml -f tests/data/test-pyproject.toml -e test
channels:
- conda-forge
dependencies:
- bthing-conda
- conda-forge::cthing
- conda-forge::pytest
- pandas
- pip
- pip:
- athing
pyproject2conda also works with self referenced dependencies:
$ pyproject2conda yaml -f tests/data/test-pyproject.toml -e dev
channels:
- conda-forge
dependencies:
- additional-thing
- bthing-conda
- conda-forge::cthing
- conda-forge::pytest
- conda-matplotlib
- pandas
- pip
- pip:
- athing
Installing from dependency-groups
pyproject2conda also support the PEP 735
dependency-groups table. For example, if we have the follinging
# ...
[dependency-groups]
test = ["pandas", "pytest"]
dev-extras = ["matplotlib"]
dev = [{ include-group = "test" }, { include-group = "dev-extras" }]
dist-pypi = [
# this is intended to be parsed with --skip-package option
"setuptools",
"build",
]
optional-opt1 = [ "hello[opt1]" ]
optional-opt2 = [ "hello[opt2]" ]
optional-all = [ "hello[all]" ]
# ...
Then, we can build a requirement file, specifying groups with -g/--group flag.
$ pyproject2conda yaml -f tests/data/test-pyproject-groups.toml --group dev
channels:
- conda-forge
dependencies:
- additional-thing
- bthing-conda
- conda-forge::cthing
- conda-forge::pytest
- conda-matplotlib
- pandas
- pip
- pip:
- athing
The advantage of using dependency-groups as opposed to
package.optional-dependencies is that they work for non-package projects, and
are not included in the metadata of distributed packages.
Header in output
By default, pyproject2conda includes a header in most output files to note
that the files are auto generated. No header is included by default when writing
to standard output. To override this behavior, pass --header/--noheader:
$ pyproject2conda yaml -f tests/data/test-pyproject.toml --header
#
# This file is autogenerated by pyproject2conda
# with the following command:
#
# $ pyproject2conda yaml -f tests/data/test-pyproject.toml --header
#
# You should not manually edit this file.
# Instead edit the corresponding pyproject.toml file.
#
channels:
- conda-forge
dependencies:
- bthing-conda
- conda-forge::cthing
- pip
- pip:
- athing
You can customize the command in the header with the --custom-command option.
Usage within python
pyproject2conda can also be used within python:
>>> from pyproject2conda.requirements import ParseDepends
>>> p = ParseDepends.from_path("./tests/data/test-pyproject.toml")
# Basic environment
>>> print(p.to_conda_yaml(python_include="infer").strip())
channels:
- conda-forge
dependencies:
- python>=3.8,<3.11
- bthing-conda
- conda-forge::cthing
- pip
- pip:
- athing
# Environment with extras
>>> print(p.to_conda_yaml(extras="test").strip())
channels:
- conda-forge
dependencies:
- bthing-conda
- conda-forge::cthing
- conda-forge::pytest
- pandas
- pip
- pip:
- athing
Configuration
pyproject2conda can be configured with a [tool.pyproject2conda] section in
pyproject.toml. To specify conda channels use:
# ...
[tool.pyproject2conda]
channels = ['conda-forge']
# these are the same as the default values of `p2c project`
template-python = "py{py}-{env}"
template = "{env}"
style = "yaml"
# options
python = ["3.10"]
# Note that this is relative to the location of pyproject.toml
user-config = "config/userconfig.toml"
# These environments will be created with the package, package dependencies, and
# dependencies from groups or extras with environment name so the below is the
# same as
#
# [tool.pyproject2conda.envs.test]
# extras-or-groups = "test"
#
default-envs = ["test", "dev", "dist-pypi"]
[tool.pyproject2conda.envs.base]
style = ["requirements"]
# This will have no extras or groups
#
# A value of `extras = true` will would be equivalent to
# passing extras-or-groups = <env-name>
[tool.pyproject2conda.envs."test-extras"]
extras = ["test"]
style = ["yaml", "requirements"]
[[tool.pyproject2conda.overrides]]
envs = ['test-extras', "dist-pypi"]
skip-package = true
[[tool.pyproject2conda.overrides]]
envs = ["test", "test-extras"]
python = ["3.10", "3.11"]
Note that specifying channels at the command line overrides
tool.pyproject2conda.channels.
You can also specify environments without the package dependences (those under
project.dependencies) by passing the --skip-package flag. This is useful for
defining environments for build, etc, that do not require the package be
installed. For example:
# ...
dist-pypi = [
# this is intended to be parsed with --skip-package option
"setuptools",
"build",
]
[tool.pyproject2conda.dependencies]
athing = { pip = true }
bthing = { skip = true, packages = "bthing-conda" }
cthing = { channel = "conda-forge" }
pytest = { channel = "conda-forge" }
matplotlib = { skip = true, packages = [
"additional-thing; python_version < '3.9'",
"conda-matplotlib"
] }
build = { channel = "pip" }
# ...
These can be accessed using either of the following:
$ pyproject2conda yaml -f tests/data/test-pyproject.toml -e dist-pypi --skip- \
package
channels:
- conda-forge
dependencies:
- setuptools
- pip
- pip:
- build
or
>>> from pyproject2conda.requirements import ParseDepends
>>> p = ParseDepends.from_path("./tests/data/test-pyproject.toml")
# Basic environment
>>> print(p.to_conda_yaml(extras="dist-pypi", skip_package=True).strip())
channels:
- conda-forge
dependencies:
- setuptools
- pip
- pip:
- build
Creating multiple environments from pyproject.toml
pyproject2conda provides a means to create all needed environment/requirement
files in one go. We configure the environments using the pyproject.toml files
in the [tool.pyproject2conda] section. For example, example the configuration:
# ...
[tool.pyproject2conda]
channels = ['conda-forge']
# these are the same as the default values of `p2c project`
template-python = "py{py}-{env}"
template = "{env}"
style = "yaml"
# options
python = ["3.10"]
# Note that this is relative to the location of pyproject.toml
user-config = "config/userconfig.toml"
# These environments will be created with the package, package dependencies, and
# dependencies from groups or extras with environment name so the below is the
# same as
#
# [tool.pyproject2conda.envs.test]
# extras-or-groups = "test"
#
default-envs = ["test", "dev", "dist-pypi"]
[tool.pyproject2conda.envs.base]
style = ["requirements"]
# This will have no extras or groups
#
# A value of `extras = true` will would be equivalent to
# passing extras-or-groups = <env-name>
[tool.pyproject2conda.envs."test-extras"]
extras = ["test"]
style = ["yaml", "requirements"]
[[tool.pyproject2conda.overrides]]
envs = ['test-extras', "dist-pypi"]
skip-package = true
[[tool.pyproject2conda.overrides]]
envs = ["test", "test-extras"]
python = ["3.10", "3.11"]
run through the command pyproject2conda project (or p2c project):
$ p2c project -f tests/data/test-pyproject.toml --dry
# --------------------
# Creating requirements base.txt
athing
bthing
cthing; python_version < "3.10"
# --------------------
# Creating yaml py310-test-extras.yaml
channels:
- conda-forge
dependencies:
- python=3.10
- conda-forge::pytest
- pandas
# --------------------
# Creating yaml py311-test-extras.yaml
channels:
- conda-forge
dependencies:
- python=3.11
- conda-forge::pytest
- pandas
# --------------------
# Creating requirements test-extras.txt
pandas
pytest
# --------------------
# Creating yaml py310-test.yaml
channels:
- conda-forge
dependencies:
- python=3.10
- bthing-conda
- conda-forge::pytest
- pandas
- pip
- pip:
- athing
# --------------------
# Creating yaml py311-test.yaml
channels:
- conda-forge
dependencies:
- python=3.11
- bthing-conda
- conda-forge::pytest
...
Note that here, we have used the --dry option to just print the output. In
production, you'd omit this flag, and files according to --template and
--template-python would be used.
The options under [tool.pyproject2conda] follow the command line options. For
example, specify template-python = ... in the config file instead of passing
--template-python. You can optionally replace all dashes with underscores in
config file option names, but this will be deprecated in future versions. To
specify an environment, you can either use the
[tool.pyproject.envs."environment-name"] method, or, if the environment is the
same as an project.optional-dependencies or dependency-groups, you can just
specify it under tool.pyproject2conda.default-envs:
[tool.pyproject2conda]
# ...
default-envs = ["test"]
is equivalent to
[tool.pyproject2conda.envs.test]
extras = ["tests"]
To specify a conda environment (yaml) file, pass style = "yaml" (the
default). To specify a requirements file, pass style = "requirements". You can
specify both to make both.
Options in a given tool.pyproject2conda.envs."environment-name" section
override those at the tool.pyproject2conda level. So, for example:
# ...
[tool.pyproject2conda.envs."test-extras"]
extras = ["test"]
style = ["yaml", "requirements"]
# ...
will override use the two styles instead of the default of yaml.
You can also override options for multiple environments using the
[[tools.pyproject2conda.overrides]] list. Just specify the override option(s)
and the environments to apply them to. For example, above we specify that the
base option is False for envs test-extras and dist-pypi, and that the
python version should be 3.10 and 3.11 for envs test and test-extras.
Note that each "overrides" table must specify the options to be overridden, and
the environments that these overrides apply to. Also, note that subsequent
overrides override previous overrides/options (last option wins).
So in all, options are picked up, in order, from the overrides list, then the environment definition, and finally, from the default options.
You can also define "user defined" configurations. This can be done through the
option --user-config. This allows you to define your own environments outside
of the (most likely source controlled) pyproject.toml file. For example, we
have the option user-config=config/userconfig.toml.
[tool.pyproject2conda.envs."user-dev"]
extras-or-groups = ["dev", "dist-pypi"]
deps = ["extra-dep"]
reqs = ["extra-req"]
name = "hello"
Note that the full path of this file is note that the path of the user-config
file is relative to thempyproject.toml file. So, if the pyproject.toml file
is at a/path/pyproject.toml, the path of user configuration files will be
a/path/config/userconfig.toml. We then can run the following:
$ p2c project -f tests/data/test-pyproject.toml --dry --envs user-dev
# --------------------
# Creating yaml py310-user-dev.yaml
name: hello
channels:
- conda-forge
dependencies:
- python=3.10
- bthing-conda
- conda-forge::pytest
- conda-matplotlib
- extra-dep
- pandas
- setuptools
- pip
- pip:
- athing
- build
- extra-req
CLI options
See command line interface documentation for details on the commands and options.
Related work
The application pyproject2conda is used in the development of the following
packages:
cmomythermoextraptmmc-lnpymodule-utilitiesanalphipypyproject2condaitself!
Documentation
See the documentation for a look at pyproject2conda in action.
License
This is free software. See LICENSE.
Contact
The author can be reached at wpk@nist.gov.
Credits
This package was created using Cookiecutter with the usnistgov/cookiecutter-nist-python template.
Changelog
Changelog for pyproject2conda
Unreleased
See the fragment files in changelog.d
v0.22.0 — 2025-06-06
Deprecated
- Deprecating using underscores in option names in
pyproject.toml. For example, usingtemplate_pythonundertool.pyproject2condawill lead to aDeprecationWarning. We'll fully remove support for underscored names in a future version.
v0.21.0 — 2025-06-05
Changed
- The config file version of command line options now accept either dashes or
underscores. For example, the command line option
--template-pythonnow respects eithertemplate-pythonortemplate_pythonin thetool.pyproject2condatable ofpyproject.toml. Note that you have to use either all dashes or all underscores, not a mix. The parser first looks for options with dashes, then falls back to underscores, so if they are both present, the dashed version will win.
v0.20.0 — 2025-06-05
Changed
--nameoption (i.e., thenamefield in an environment.yaml file) now accepts the follinging fields:{py_version}: the full python version passed in with--python-version, or specified inpyproject.toml{py}: the python version without"."(so, for example, if--python-version=3.8,{py}will expand to"38").{env}: the environment name. Only applicable with theprojectsubcommand.
v0.19.1 — 2025-02-19
Changed
- Bugfix in pre-commit hooks. Now respects
header = falsein environments.
v0.19.0 — 2025-01-29
Added
- Added pre-commit hooks
pyproject2conda-project,pyproject2conda-yaml, andpyproject2conda-requirements.
Changed
- Changed default of
--overwritetoforce. This simplifies using withpre-commit. --commit-commanddefaults topre-commitwhen run under pre-commit
v0.18.0 — 2025-01-24
Added
- Can now specify current package in dependency-groups like with extras. For example, with:
[project]
name = "mypackage"
...
optional-dependencies.opt = [ "opt1" ]
[dependency-groups]
dev = [
"pytest",
"mypackage[opt]"
]
Will render optional dependencies from opt extra when using group dev
- Added flag
--pip-onlyto treat all requirements as pip requirements inenvironment.yamlfiles. Closes #8
v0.16.0 — 2024-12-31
Changed
- Read default version from first found file, in order,
.python-version-defaultand.python-version. This allows for "default" version being different from pinned version specifier, as the latter can be a range of python values.
v0.15.0 — 2024-12-17
Added
- Can now pass requirements for package with
--req/-r "-e ."for example.
v0.14.0 — 2024-12-16
Added
-
--pythonflag now accepts optionsdefault,all,lowest, andhighest.defaultsets python to value found in.python-versionfile in current directory. Other options extract values entries of form"Programming Language :: Python :: 3.10"', etc,frompyproject.toml:project.classifierstable.all: All specified python versionlowest: Lowest python versionhighest: Highest python version
-
Added
--reqs-extand--yaml-extoptions.
v0.13.0 — 2024-11-04
Changed
- Allow
overridesfor all options. overridesoverride environment options.
v0.12.0 — 2024-11-04
Removed
- Removed comments based (
# p2c: ...) support. Specify changes withtool.pyproject2conda.dependenciestable only. This greatly simplifies the code, and has become the primary way to use thepyproject2conda.
Added
- Added PEP 735 support. This includes
adding option
--groupto the cli, andgroupskey totools.pyproject2conda.envs....tables. There is also an option--extra-or-group(orextras_or_groupsin pyproject.toml) that will first try to find dependencies from "extras" and then from "groups".
Changed
-
Passing no extras to an environment now defaults to no added extras or groups. Old behavior (to default to the extra with the same name as the environment) was lead to complications with support of
dependency-groups. Explicitly pass the extra or group if to get the old behavior. -
default_envsnow passed the environment name asextras_or_groups. Therefore, if the name of the environment is an extra, it will be used. Otherwise, it will be from a group of that name. -
Removed option
--base/--no-base. Replaced with--skip-package. Default is to include package dependencies. Pass--skip-package(orskip_package = trueinpyproject.toml) to skip package dependencies.
v0.11.0 — 2023-11-28
Added
- Can now access "build-system.requires" as an extra. This can be useful for creating isolated environments to build a package.
Changed
- Can now specify
pipas a conda dependency. This is needed for cases that there are no pip dependencies in the environment, but you want it there for installing local packages. This may be the case if usingconda-lockon an environment. Note that, much like python is always first in the dependency list, pip is always last.
v0.10.0 — 2023-11-17
Added
- Can now specify conda changes using
tool.pyproject2conda.dependenciestable. This is an alternative to using# p2c:comments. - Refactored code. Split
parsertorequirementsandoverrides. Also cleaned up the parsing logic to hopefully make future changes simpler.
v0.9.0 — 2023-11-14
Added
- Default is now to remove whitespace from dependencies. For example, the
dependency
module > 0.1will becomemodule>0.1. To override this behaviour, pass the option--no-remove-whitespace. - Now supports python version
>3.8,<=3.12 - Can now specify
extras = falsein pyprojec.toml to skip any extras. The default (extras = true) is the same asextras = [env_name]whereenv_nameis the name of the environment (e.g.,tool.pyproject2conda.envs.env_name).
v0.8.0 — 2023-10-02
Added
- Added option to either raise error, or print message for environments with no dependencies.
Changed
- pyproject2conda now works with
pyproject.tomlfiles with no dependencies.
v0.7.0 — 2023-09-26
Added
- Now use
loggingto print info output.
Changed
- cli now uses
typer. Since the program was already typed, this simplifies the interface. - Program can now be called with any of
pyproject2conda,p2c, orpython -m pyproject2conda. - Added cli options to web documentation.
- Fixed small typos and typing issues.
- The cli option
--python-includenow requires an argument. This is due totypernot liking options with zero or one arguments. Instead of the bare flag--python-includeincluding the python spec frompyproject.toml, you have to pass--python-include inferto get that behavior. - Added extra
allto pip install options. The default is to not includerichorshellingham. Usingpip install pyproject2conda[all]includes these optional packages. Note that the conda-forge recipe is based on the plain install (i.e., norichorshellingham). However, the conda-froge recipe fortyperdoes include these. That means, if you want to installpyproject2condawithout the optional extras, you'll have to use pip.
v0.6.1 — 2023-09-22
Changed
- Fixed edge case where
--overwrite=checkand have auser_config. Now when usingp2c projectwith auser_configandoverwrite=check, the timestamp of the output file will be compared to both thefilename=pyproject.tomlanduser_config.
v0.6.0 — 2023-09-19
Added
- Added
projectsubcommand. This uses a configuration inpyproject.tomlto build multiple enivonments in one go. - Added
--depsand--reqsflags to include extra conda and pip requirements. - Added
--overwriteto check if output file exists. - Now (correctly) using rich_click.
- Added tests for all new cases, and some edge cases.
v0.5.1 — 2023-09-09
Added
- Added
--sort/--no-sortflag to cli. Default is to sort dependencies. This fixes issues with changing order inpyproject.tomlleading to different yaml files.
Changed
-
Changed structure of the repo to better support some third party tools.
-
Moved nox environments from
.noxto.nox/{project-name}/envs. This fixes issues with ipykernel giving odd names for locally installed environments. -
Moved repo specific dot files to the
configdirectory (e.g.,.noxconfig.tomltoconfig/userconfig.toml). This cleans up the top level of the repo. -
added some support for using
nbqato run mypy/pyright on notebooks. -
Added ability to bootstrap development environment using pipx. This should simplify initial setup. See Contributing for more info.
-
Main repo now on usnistgov. This software was developed by employees of the National Institute of Standards and Technology (NIST), an agency of the Federal Government. Pursuant to title 17 United States Code Section 105, works of NIST employees are not subject to copyright protection in the United States and are considered to be in the public domain. Permission to freely use, copy, modify, and distribute this software and its documentation without fee is hereby granted, provided that this notice and disclaimer of warranty appears in all copies.
THE SOFTWARE IS PROVIDED 'AS IS' WITHOUT ANY WARRANTY OF ANY KIND, EITHER EXPRESSED, IMPLIED, OR STATUTORY, INCLUDING, BUT NOT LIMITED TO, ANY WARRANTY THAT THE SOFTWARE WILL CONFORM TO SPECIFICATIONS, ANY IMPLIED WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND FREEDOM FROM INFRINGEMENT, AND ANY WARRANTY THAT THE DOCUMENTATION WILL CONFORM TO THE SOFTWARE, OR ANY WARRANTY THAT THE SOFTWARE WILL BE ERROR FREE. IN NO EVENT SHALL NIST BE LIABLE FOR ANY DAMAGES, INCLUDING, BUT NOT LIMITED TO, DIRECT, INDIRECT, SPECIAL OR CONSEQUENTIAL DAMAGES, ARISING OUT OF, RESULTING FROM, OR IN ANY WAY CONNECTED WITH THIS SOFTWARE, WHETHER OR NOT BASED UPON WARRANTY, CONTRACT, TORT, OR OTHERWISE, WHETHER OR NOT INJURY WAS SUSTAINED BY PERSONS OR PROPERTY OR OTHERWISE, AND WHETHER OR NOT LOSS WAS SUSTAINED FROM, OR AROSE OUT OF THE RESULTS OF, OR USE OF, THE SOFTWARE OR SERVICES PROVIDED HEREUNDER.
Distributions of NIST software should also include copyright and licensing statements of any third-party software that are legally bundled with the code in compliance with the conditions of those licenses.
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