jasmainak

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ERROR: Failure: ImportError (libopenblas.so.0: cannot open shared object file: No such file or directory)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/mainak/anaconda/lib/python2.7/site-packages/nose/loader.py", line 420, in loadTestsFromName
    addr.filename, addr.module)
  File "/home/mainak/anaconda/lib/python2.7/site-packages/nose/importer.py", line 47, in importFromPath
    return self.importFromDir(dir_path, fqname)
  File "/home/mainak/anaconda/lib/python2.7/site-packages/nose/importer.py", line 94, in importFromDir
    mod = load_module(part_fqname, fh, filename, desc)

jasmainak

In [1]: import scipy

In [2]: scipy.test('full')
Running unit tests for scipy
NumPy version 1.10.2
NumPy relaxed strides checking option: False
NumPy is installed in /home/mainak/anaconda/lib/python2.7/site-packages/numpy
SciPy version 0.16.1
SciPy is installed in /home/mainak/anaconda/lib/python2.7/site-packages/scipy
Python version 2.7.11 |Anaconda 1.9.1 (64-bit)| (default, Dec  6 2015, 18:08:32) [GCC 4.4.7 20120313 (Red Hat 4.4.7-1)]

jasmainak

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# -*- coding: utf-8 -*-
"""
PySurfer-like plotting using VisPy scene.
"""

import numpy as np

from vispy import scene, app
import mne
import nibabel

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name: hnn
channels:
- defaults
dependencies:
- python>=3.6
- pip
- numpy
- scipy
- matplotlib
- cython

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export LANG=en_US.UTF-8

# COMMON CONFS

# Use pgrep with full command path and display the name
alias checktuns="ps x | grep 'ssh -N'"
alias pgrep="ps x | grep "

# Set the scikit path env var
export SCIKIT_LEARN_PATH=~/raghav/code/scikit-learn

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import numpy as np
from autoreject import RejectLog
epochs_orig = epochs.copy()

# now interactively mark the bad epochs
epochs.plot()

bad_idxs = [idx for idx, drop in enumerate(epochs.drop_log) if
            drop == ['USER']]

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def remap_evoked(evoked, info_to, mode='fast'):
    # get info that should only differ in dev_head transform
    from mne import pick_types, pick_info
    from mne.forward import _map_meg_channels
    picks = pick_types(evoked.info, meg=True, eeg=False, ref_meg=True)

    info_from = pick_info(evoked.info, picks)
    info_to = pick_info(info_to, picks)
    mapping = _map_meg_channels(info_from, info_to, mode=mode)

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# %%
# %matplotlib widget
import matplotlib.pyplot as plt
from matplotlib.colors import SymLogNorm
from mpl_toolkits.axes_grid1.inset_locator import inset_axes
import numpy as np

from neuron import h
from hnn_core.network_builder import load_custom_mechanisms
from hnn_core.lfp import _LFPElectrode