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vcrpy/vcr/util.py
Josh Peak 4a8e80ee3e v4.0.x - Remove legacy python and add python3.8 support (#499)
* Drop support for legacy Python 2.7

* Upgrade Python syntax with pyupgrade --py3-plus

* Trim testing matrix to remove python2

* re-enable python3.8 in travis as tests that are not allowed to fail

* Remove some six

* The future is now

* Remove Python 2 imports

* Add back example, but change py27 to py36

* Remove redundant compat.py

* Blacken

* Credit hugovk in changelog

WIP Updating Sphinx Docs and AutoDoc

* Fix AutoDoc and update Sphinx theme to python_doc_theme

* Fix #420, autodoc even undocumented (docstring-less) method signatures

* Doc theme 'nature'. Add global TOC to doc sidebar

* Comment last reference to package six

* Changelog is now a consistent format

* Yet another documentation fix for links and title hierarchy

* Start work on new SVG logo

test SVG in README

trying to test new SVG logo in README

Apply centering

Apply readme logo centering

Trying to align image

Trying random shit

trying align right

add emoji

Large logo has higher priority

Change title hierarchy

Actually use a H1

Try again

try and organise badges

revert link back to point at master

* updated new take on VCR logo as SVG code

* Testing modern logo in docs

* Add sanitize for rendering SVG

* Switch to alabaster theme

* Update vcrpy logo (#503)

* Add credit for V4 logo changes.

* Add rewind and play animation

* Add svg into ReadTheDocs static assets so that it can be hosted so the animations work.

* Need to embedd the SVG for ReadTheDocs somewhere so I can get the link to later embed in the README

Co-authored-by: Hugo van Kemenade <hugovk@users.noreply.github.com>
Co-authored-by: Sean Bailey <sean@seanbailey.io>
2019-12-20 11:45:07 +11:00

119 lines
3.8 KiB
Python

import types
try:
from collections.abc import Mapping, MutableMapping
except ImportError:
from collections import Mapping, MutableMapping
# Shamelessly stolen from https://github.com/kennethreitz/requests/blob/master/requests/structures.py
class CaseInsensitiveDict(MutableMapping):
"""
A case-insensitive ``dict``-like object.
Implements all methods and operations of
``collections.abc.MutableMapping`` as well as dict's ``copy``. Also
provides ``lower_items``.
All keys are expected to be strings. The structure remembers the
case of the last key to be set, and ``iter(instance)``,
``keys()``, ``items()``, ``iterkeys()``, and ``iteritems()``
will contain case-sensitive keys. However, querying and contains
testing is case insensitive::
cid = CaseInsensitiveDict()
cid['Accept'] = 'application/json'
cid['aCCEPT'] == 'application/json' # True
list(cid) == ['Accept'] # True
For example, ``headers['content-encoding']`` will return the
value of a ``'Content-Encoding'`` response header, regardless
of how the header name was originally stored.
If the constructor, ``.update``, or equality comparison
operations are given keys that have equal ``.lower()``s, the
behavior is undefined.
"""
def __init__(self, data=None, **kwargs):
self._store = dict()
if data is None:
data = {}
self.update(data, **kwargs)
def __setitem__(self, key, value):
# Use the lowercased key for lookups, but store the actual
# key alongside the value.
self._store[key.lower()] = (key, value)
def __getitem__(self, key):
return self._store[key.lower()][1]
def __delitem__(self, key):
del self._store[key.lower()]
def __iter__(self):
return (casedkey for casedkey, mappedvalue in self._store.values())
def __len__(self):
return len(self._store)
def lower_items(self):
"""Like iteritems(), but with all lowercase keys."""
return ((lowerkey, keyval[1]) for (lowerkey, keyval) in self._store.items())
def __eq__(self, other):
if isinstance(other, Mapping):
other = CaseInsensitiveDict(other)
else:
return NotImplemented
# Compare insensitively
return dict(self.lower_items()) == dict(other.lower_items())
# Copy is required
def copy(self):
return CaseInsensitiveDict(self._store.values())
def __repr__(self):
return str(dict(self.items()))
def partition_dict(predicate, dictionary):
true_dict = {}
false_dict = {}
for key, value in dictionary.items():
this_dict = true_dict if predicate(key, value) else false_dict
this_dict[key] = value
return true_dict, false_dict
def compose(*functions):
def composed(incoming):
res = incoming
for function in reversed(functions):
if function:
res = function(res)
return res
return composed
def read_body(request):
if hasattr(request.body, "read"):
return request.body.read()
return request.body
def auto_decorate(decorator, predicate=lambda name, value: isinstance(value, types.FunctionType)):
def maybe_decorate(attribute, value):
if predicate(attribute, value):
value = decorator(value)
return value
class DecorateAll(type):
def __setattr__(cls, attribute, value):
return super().__setattr__(attribute, maybe_decorate(attribute, value))
def __new__(cls, name, bases, attributes_dict):
new_attributes_dict = {
attribute: maybe_decorate(attribute, value) for attribute, value in attributes_dict.items()
}
return super().__new__(cls, name, bases, new_attributes_dict)
return DecorateAll