There is no where statement but you can “emulate” it using for: a=[0] def f(x): a[0] += 1 return 2*x print [ (x, y) for x in range(5) for y in [f(x)] if y != 2 ] print “The function was executed %s times” % a[0] Execution: $ python 2.py [(0, 0), (2, 4), (3, … Read more
Now it is implemented :-). To use, either run py.test –doctest-modules command, or set your configuration with pytest.ini: $ cat pytest.ini # content of pytest.ini [pytest] addopts = –doctest-modules Man page: PyTest: doctest integration for modules and test files.
Basically there is a module exactly for this purpose called httpimport. Currently it supports importing from a URL that contains the package/module and also from archives (.tar.*, .zip) that can be found in URLs (this is a way to handle remote dependencies). It is fully integrated with Python’s import system so you don’t need to … Read more
Use np.nextafter. >>> import numpy as np >>> np.nextafter(0, 1) 4.9406564584124654e-324 >>> np.nextafter(np.float32(0), np.float32(1)) 1.4012985e-45
When passing kwargs into a function, it expects to find the exact variable name in the list. If instead your dictionary keys were stringa, integera, and floata the function would work without problem. So you either need to change your function variable names or change the key names in your dictionary to get this to … Read more
Your understanding is correct: invoking PyEval_InitThreads does, among other things, acquire the GIL. In a correctly written Python/C application, this is not an issue because the GIL will be unlocked in time, either automatically or manually. If the main thread goes on to run Python code, there is nothing special to do, because Python interpreter … Read more
Modifying the sample axis, e.g. removing samples, does not (yet?) comply with the scikit-learn transformer API. So if you need to do this, you should do it outside any calls to scikit learn, as preprocessing. As it is now, the transformer API is used to transform the features of a given sample into something new. … Read more
I think enums are safer especially for larger systems with multiple developers. As soon as the need arises to change the value of such an enum, looking up and replacing a string in many places is not my idea of fun 🙂 The most important criteria IMHO is the usage: for use in a module … Read more
Looks like what you have is a large chunk of text data that you want to interpret line-by-line. You can use the StringIO class to wrap that content as a seekable file-like object: >>> import StringIO >>> content=”big\nugly\ncontents\nof\nmultiple\npdf files” >>> buf = StringIO.StringIO(content) >>> buf.readline() ‘big\n’ >>> buf.readline() ‘ugly\n’ >>> buf.readline() ‘contents\n’ >>> buf.readline() ‘of\n’ … Read more
Since Fabric 1.3, the execute helper is now available to do just this. The documentation is available here: Intelligently executing tasks with execute. Here is the example they use: from fabric.api import run, roles, execute env.roledefs = { ‘db’: [‘db1’, ‘db2’], ‘web’: [‘web1’, ‘web2’, ‘web3’], } @roles(‘db’) def migrate(): # Database stuff here. pass @roles(‘web’) … Read more