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Traceback (most recent call last):
  File "/Users/bussonniermatthias/dev/jedi/jedi/cache.py", line 110, in wrapper
    return dct[key]
KeyError: ((), frozenset())

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/Users/bussonniermatthias/dev/jedi/jedi/cache.py", line 110, in wrapper
    return dct[key]

Carreau

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---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-42-e8051349cd43> in <module>
      1 script = """x = np.linspace(-np.pi, 10)"""
      2 #format_and_infer_types(script)
----> 3 jedi.Interpreter(script, [{'np':np}]).infer(1,0)

~/dev/jedi/jedi/api/helpers.py in validate_line_column.<locals>.wrapper(self, line, column, *args, **kwargs)
    483 if not (0 <= column <= line_len):
    484     raise ValueError('`column` parameter (%d) is not in a valid range '

Carreau

import inspect
import functools

from contextlib import contextmanager

@contextmanager
def nested_run():
    from trio._core._run import GLOBAL_RUN_CONTEXT
    s = object()
    task, runner, _dict = s, s, s

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import re
from glob import glob


pat = re.compile('\d\.\d\.\d')


def is_versioned_doc(path):
    return pat.match(path.split('/')[0]) is not None

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version: '3.5'
services:

    arches:
      container_name: arches
      image: archesproject/arches:master
      build:
        context: .
        dockerfile: ./Dockerfile
      command: run_arches

Carreau

import asyncio
import trio
import sys
from ast import PyCF_ALLOW_TOP_LEVEL_AWAIT
from inspect import CO_COROUTINE
from textwrap import dedent, indent

g = {}
l = {}

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(None) ~/dev/hippylib[remotes/origin/Packaging-dev-WIP ✗] $ conda create -n fenicsproject -c conda-forge fenics==2017.2.0 \
>                    mpi4py scipy sympy==1.1.1 jupyter
Solving environment: done

## Package Plan ##

  environment location: /Users/mbussonnier/miniconda3/envs/fenicsproject

  added / updated specs:
    - fenics==2017.2.0

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// put in your .jupyter/custom/custom.js
require(['base/js/events'], function(events){
    function beep() {
      var snd = new Audio("data:audio/wav;base64,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