chrisseto

from IPython.core.magic import Magics, magics_class, line_magic
import asyncio


@magics_class
class AsyncMagics(Magics):
    @line_magic
    def await(self, line):
        return asyncio.get_event_loop().run_until_complete(eval(line, self.shell.user_global_ns, self.shell.user_ns))

timruffles

In many production systems you'll want to have one module capable of talking to many potential implementations of a collaborator module (e.g a in memory cache, a redis-based cache etc). While testing it's useful to control which module the module under test is talking to.

Here are the approaches I can see. The two points that seem to divide the approaches are their tool-ability (dialyzer) and their ability to handle stateful implementations (which need a pid).

Passing modules

Modules are first class, so you can pass them in. Used in EEx, where passed module must implement a behaviour.

nyergler

(add-hook 'hack-local-variables-hook 'run-local-vars-mode-hook)
(defun run-local-vars-mode-hook ()
  "Run a hook for the major-mode after the local variables have been processed."
  (run-hooks (intern (concat (symbol-name major-mode) "-local-vars-hook"))))


(defun detect_buffer_venv (buffer-name)

  (let ((buffer-dir (file-name-directory buffer-name)))