(every? f data) [docs] is the same as all(f(x) for x in data). (some f data) [docs] is like any(f(x) for x in data) except that it returns the value of f(x) (which must be truthy), instead of just true. If you want the exact same behaviour as in Python, you can use the identity … Read more
You can follow the recommendation in PEP 3101 and use a subclass Formatter: import string class BlankFormatter(string.Formatter): def __init__(self, default=””): self.default=default def get_value(self, key, args, kwds): if isinstance(key, str): return kwds.get(key, self.default) else: return string.Formatter.get_value(key, args, kwds) kwargs = {“name”: “mark”, “adj”: “mad”} fmt=BlankFormatter() print fmt.format(“My name is {name} and I’m really {adj}.”, **kwargs) # … Read more
There is no such limit in place regarding dictionary keys. Since python also has arbitrary precision on numeric types, the only limit you will encounter, string or otherwise, is that of available memory. You can see another post here for a discussion on maximum string length in python 2.
Maybe a bit late, but I’ve started a new package that may help: https://github.com/argaen/aiocache. Contributions/comments are always welcome. An example: import asyncio from collections import namedtuple from aiocache import cached from aiocache.serializers import PickleSerializer Result = namedtuple(‘Result’, “content, status”) @cached(ttl=10, serializer=PickleSerializer()) async def async_main(): print(“First ASYNC non cached call…”) await asyncio.sleep(1) return Result(“content”, 200) if … Read more
you could use Python built-in capability to show custom exception message: assert response.status_code == 200, f”My custom msg: actual status code {response.status_code}” Or you can built a helper assert functions: def assert_status(response, status=200): # you can assert other status codes too assert response.status_code == status, \ f”Expected {status}. Actual status {response.status_code}. Response text {response.text}” # … Read more
pyd files are just dll files ready for python importing. To distinguish them from normal dlls, I recommend .pyd not .dll in windows. Here is the official doc about this issue: http://docs.python.org/faq/windows.html#is-a-pyd-file-the-same-as-a-dll
There is no need to provide a separate constructor. Mocking patches your code to replace objects with mocks. Just use the mock.patch() decorator on your test methods; it’ll pass in references to the generated mock objects. Both producer.Producer() and consumer.Consumer() are then mocked out before you create the instance: import mock class MyTest(unittest.TestCase): @mock.patch(‘producer.Producer’, autospec=True) … Read more
For Python3: FROM ubuntu:latest WORKDIR /app ADD . /app RUN set -xe \ && apt-get update \ && apt-get install python3-pip RUN pip install –upgrade pip RUN pip install -r requirements.txt If you install python-pip for Python2 as well, you need to use pip3 for Python3 and pip for Python2. But with this setting, pip … Read more
From http://lxml.de/tutorial.html#serialisation >>> root = etree.XML(‘<root><a><b/></a></root>’) >>> etree.tostring(root) b'<root><a><b/></a></root>’ >>> print(etree.tostring(root, xml_declaration=True)) <?xml version=’1.0′ encoding=’ASCII’?> <root><a><b/></a></root> >>> print(etree.tostring(root, encoding=’iso-8859-1′)) <?xml version=’1.0′ encoding=’iso-8859-1′?> <root><a><b/></a></root> >>> print(etree.tostring(root, pretty_print=True)) <root> <a> <b/> </a> </root>