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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 ' |
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| 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 |
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| 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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 |
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| import numpy.random as nr | |
| import docutils | |
| import docutils.frontend | |
| import docutils.parsers | |
| import docutils.parsers.rst | |
| import numpydoc.docscrape as nd | |
| import pygments | |
| import textwrap | |
| from pygments.lexers import Python3Lexer | |
| from pygments.token import Token |