Source code for pyhf.utils

import json
import yaml
import click
import hashlib
from gettext import gettext

import sys

# importlib.resources.as_file wasn't added until Python 3.9
# c.f.
if sys.version_info >= (3, 9):
    from importlib import resources
    import importlib_resources as resources

__all__ = [

def __dir__():
    return __all__

[docs]def options_from_eqdelimstring(opts): document = '\n'.join( f"{opt.split('=', 1)[0]}: {opt.split('=', 1)[1]}" for opt in opts ) return yaml.safe_load(document)
class EqDelimStringParamType(click.ParamType): name = 'equal-delimited option' def convert(self, value, param, ctx): try: return options_from_eqdelimstring([value]) except IndexError:'{value:s} is not a valid equal-delimited string', param, ctx) class VolumeMountPath(click.Path): def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) = f'{}:{gettext("path")}' def convert(self, value, param, ctx): try: path_host, path_mount = value.split(':') except ValueError: # too many values to unpack / not enough values to unpack"{value!r} is not a valid colon-separated option", param, ctx) return ( super().convert(path_host, param, ctx), self.coerce_path_result(path_mount), )
[docs]def digest(obj, algorithm='sha256'): """ Get the digest for the provided object. Note: object must be JSON-serializable. The hashing algorithms supported are in :mod:`hashlib`, part of Python's Standard Libraries. Example: >>> import pyhf >>> obj = {'a': 2.0, 'b': 3.0, 'c': 1.0} >>> pyhf.utils.digest(obj) 'a38f6093800189b79bc22ef677baf90c75705af2cfc7ff594159eca54eaa7928' >>> pyhf.utils.digest(obj, algorithm='md5') '2c0633f242928eb55c3672fed5ba8612' >>> pyhf.utils.digest(obj, algorithm='sha1') '49a27f499e763766c9545b294880df277be6f545' Raises: ValueError: If the object is not JSON-serializable or if the algorithm is not supported. Args: obj (:obj:`jsonable`): A JSON-serializable object to compute the digest of. Usually a :class:`~pyhf.workspace.Workspace` object. algorithm (:obj:`str`): The hashing algorithm to use. Returns: digest (:obj:`str`): The digest for the JSON-serialized object provided and hash algorithm specified. """ try: stringified = json.dumps(obj, sort_keys=True, ensure_ascii=False).encode('utf8') except TypeError: raise ValueError( "The supplied object is not JSON-serializable for calculating a hash." ) try: hash_alg = getattr(hashlib, algorithm) except AttributeError: raise ValueError( f"{algorithm} is not an algorithm provided by Python's hashlib library." ) return hash_alg(stringified).hexdigest()
[docs]def citation(oneline=False): """ Get the bibtex citation for pyhf Example: >>> import pyhf >>> pyhf.utils.citation(oneline=True) '@software{pyhf, author = {Lukas Heinrich and Matthew Feickert and Giordon Stark}, title = "{pyhf: v0.7.0}", version = {0.7.0}, doi = {10.5281/zenodo.1169739}, url = {}, note = {}}@article{pyhf_joss, doi = {10.21105/joss.02823}, url = {}, year = {2021}, publisher = {The Open Journal}, volume = {6}, number = {58}, pages = {2823}, author = {Lukas Heinrich and Matthew Feickert and Giordon Stark and Kyle Cranmer}, title = {pyhf: pure-Python implementation of HistFactory statistical models}, journal = {Journal of Open Source Software}}' Keyword Args: oneline (:obj:`bool`): Whether to provide citation with new lines (default) or as a one-liner. Returns: citation (:obj:`str`): The citation for this software """ ref = resources.files('pyhf') / 'data' / 'citation.bib' with resources.as_file(ref) as path: data = path.read_text().strip() if oneline: data = ''.join(data.splitlines()) return data