golden hour
/lib/python3.9/site-packages/ansible/plugins/filter
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__init__.py
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__pycache__
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b64decode.yml
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b64encode.yml
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basename.yml
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bool.yml
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checksum.yml
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combinations.yml
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combine.yml
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comment.yml
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core.py
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dict2items.yml
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difference.yml
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dirname.yml
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encryption.py
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expanduser.yml
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expandvars.yml
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extract.yml
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fileglob.yml
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flatten.yml
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from_json.yml
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from_yaml.yml
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from_yaml_all.yml
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hash.yml
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human_readable.yml
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human_to_bytes.yml
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intersect.yml
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items2dict.yml
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log.yml
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mandatory.yml
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mathstuff.py
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md5.yml
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password_hash.yml
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path_join.yml
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permutations.yml
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pow.yml
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product.yml
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quote.yml
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random.yml
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realpath.yml
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regex_escape.yml
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regex_findall.yml
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regex_replace.yml
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regex_search.yml
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rekey_on_member.yml
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relpath.yml
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root.yml
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sha1.yml
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shuffle.yml
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split.yml
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splitext.yml
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strftime.yml
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subelements.yml
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symmetric_difference.yml
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ternary.yml
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to_datetime.yml
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to_json.yml
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to_nice_json.yml
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to_nice_yaml.yml
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to_uuid.yml
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to_yaml.yml
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type_debug.yml
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union.yml
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unique.yml
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unvault.yml
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urldecode.yml
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urls.py
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urlsplit.py
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vault.yml
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win_basename.yml
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win_dirname.yml
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win_splitdrive.yml
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zip.yml
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zip_longest.yml
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Edit: mathstuff.py
# Copyright 2014, Brian Coca <bcoca@ansible.com> # Copyright 2017, Ken Celenza <ken@networktocode.com> # Copyright 2017, Jason Edelman <jason@networktocode.com> # Copyright 2017, Ansible Project # # This file is part of Ansible # # Ansible is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # Ansible is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with Ansible. If not, see <http://www.gnu.org/licenses/>. # Make coding more python3-ish from __future__ import (absolute_import, division, print_function) __metaclass__ = type import itertools import math from collections.abc import Hashable, Mapping, Iterable from jinja2.filters import pass_environment from ansible.errors import AnsibleFilterError, AnsibleFilterTypeError from ansible.module_utils.common.text import formatters from ansible.module_utils.six import binary_type, text_type from ansible.module_utils._text import to_native, to_text from ansible.utils.display import Display try: from jinja2.filters import do_unique HAS_UNIQUE = True except ImportError: HAS_UNIQUE = False display = Display() @pass_environment # Use case_sensitive=None as a sentinel value, so we raise an error only when # explicitly set and cannot be handle (by Jinja2 w/o 'unique' or fallback version) def unique(environment, a, case_sensitive=None, attribute=None): def _do_fail(e): if case_sensitive is False or attribute: raise AnsibleFilterError("Jinja2's unique filter failed and we cannot fall back to Ansible's version " "as it does not support the parameters supplied", orig_exc=e) error = e = None try: if HAS_UNIQUE: c = list(do_unique(environment, a, case_sensitive=bool(case_sensitive), attribute=attribute)) except TypeError as e: error = e _do_fail(e) except Exception as e: error = e _do_fail(e) display.warning('Falling back to Ansible unique filter as Jinja2 one failed: %s' % to_text(e)) if not HAS_UNIQUE or error: # handle Jinja2 specific attributes when using Ansible's version if case_sensitive is False or attribute: raise AnsibleFilterError("Ansible's unique filter does not support case_sensitive=False nor attribute parameters, " "you need a newer version of Jinja2 that provides their version of the filter.") c = [] for x in a: if x not in c: c.append(x) return c @pass_environment def intersect(environment, a, b): if isinstance(a, Hashable) and isinstance(b, Hashable): c = set(a) & set(b) else: c = unique(environment, [x for x in a if x in b], True) return c @pass_environment def difference(environment, a, b): if isinstance(a, Hashable) and isinstance(b, Hashable): c = set(a) - set(b) else: c = unique(environment, [x for x in a if x not in b], True) return c @pass_environment def symmetric_difference(environment, a, b): if isinstance(a, Hashable) and isinstance(b, Hashable): c = set(a) ^ set(b) else: isect = intersect(environment, a, b) c = [x for x in union(environment, a, b) if x not in isect] return c @pass_environment def union(environment, a, b): if isinstance(a, Hashable) and isinstance(b, Hashable): c = set(a) | set(b) else: c = unique(environment, a + b, True) return c def logarithm(x, base=math.e): try: if base == 10: return math.log10(x) else: return math.log(x, base) except TypeError as e: raise AnsibleFilterTypeError('log() can only be used on numbers: %s' % to_native(e)) def power(x, y): try: return math.pow(x, y) except TypeError as e: raise AnsibleFilterTypeError('pow() can only be used on numbers: %s' % to_native(e)) def inversepower(x, base=2): try: if base == 2: return math.sqrt(x) else: return math.pow(x, 1.0 / float(base)) except (ValueError, TypeError) as e: raise AnsibleFilterTypeError('root() can only be used on numbers: %s' % to_native(e)) def human_readable(size, isbits=False, unit=None): ''' Return a human readable string ''' try: return formatters.bytes_to_human(size, isbits, unit) except TypeError as e: raise AnsibleFilterTypeError("human_readable() failed on bad input: %s" % to_native(e)) except Exception: raise AnsibleFilterError("human_readable() can't interpret following string: %s" % size) def human_to_bytes(size, default_unit=None, isbits=False): ''' Return bytes count from a human readable string ''' try: return formatters.human_to_bytes(size, default_unit, isbits) except TypeError as e: raise AnsibleFilterTypeError("human_to_bytes() failed on bad input: %s" % to_native(e)) except Exception: raise AnsibleFilterError("human_to_bytes() can't interpret following string: %s" % size) def rekey_on_member(data, key, duplicates='error'): """ Rekey a dict of dicts on another member May also create a dict from a list of dicts. duplicates can be one of ``error`` or ``overwrite`` to specify whether to error out if the key value would be duplicated or to overwrite previous entries if that's the case. """ if duplicates not in ('error', 'overwrite'): raise AnsibleFilterError("duplicates parameter to rekey_on_member has unknown value: {0}".format(duplicates)) new_obj = {} # Ensure the positional args are defined - raise jinja2.exceptions.UndefinedError if not bool(data) and bool(key) if isinstance(data, Mapping): iterate_over = data.values() elif isinstance(data, Iterable) and not isinstance(data, (text_type, binary_type)): iterate_over = data else: raise AnsibleFilterTypeError("Type is not a valid list, set, or dict") for item in iterate_over: if not isinstance(item, Mapping): raise AnsibleFilterTypeError("List item is not a valid dict") try: key_elem = item[key] except KeyError: raise AnsibleFilterError("Key {0} was not found".format(key)) except TypeError as e: raise AnsibleFilterTypeError(to_native(e)) except Exception as e: raise AnsibleFilterError(to_native(e)) # Note: if new_obj[key_elem] exists it will always be a non-empty dict (it will at # minimum contain {key: key_elem} if new_obj.get(key_elem, None): if duplicates == 'error': raise AnsibleFilterError("Key {0} is not unique, cannot correctly turn into dict".format(key_elem)) elif duplicates == 'overwrite': new_obj[key_elem] = item else: new_obj[key_elem] = item return new_obj class FilterModule(object): ''' Ansible math jinja2 filters ''' def filters(self): filters = { # exponents and logarithms 'log': logarithm, 'pow': power, 'root': inversepower, # set theory 'unique': unique, 'intersect': intersect, 'difference': difference, 'symmetric_difference': symmetric_difference, 'union': union, # combinatorial 'product': itertools.product, 'permutations': itertools.permutations, 'combinations': itertools.combinations, # computer theory 'human_readable': human_readable, 'human_to_bytes': human_to_bytes, 'rekey_on_member': rekey_on_member, # zip 'zip': zip, 'zip_longest': itertools.zip_longest, } return filters
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