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from registration.signals import user_activated | |
from django.contrib.auth import login, authenticate | |
def login_on_activation(sender, user, request, **kwargs): | |
"""Logs in the user after activation""" | |
user.backend = 'django.contrib.auth.backends.ModelBackend' | |
login(request, user) | |
# Registers the function with the django-registration user_activated signal | |
user_activated.connect(login_on_activation) |
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import numpy as np | |
def remove_duplicates(array_data, return_index=False, return_inverse=False): | |
"""Removes duplicate rows of a multi-dimensional array. Returns the | |
array with the duplicates removed. If return_index is True, also | |
returns the indices of array_data that result in the unique array. | |
If return_inverse is True, also returns the indices of the unique | |
array that can be used to reconstruct array_data.""" | |
unique_array_data, index_map, inverse_map = np.unique( | |
array_data.view([('', array_data.dtype)] * \ |
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import collada | |
import sys | |
import os.path | |
from itertools import chain | |
import numpy | |
def uniqify_multidim_indexes(sourcedata, indices, return_map=False): | |
"""Just like numpy.unique except that it works with multi-dimensional arrays. | |
Given a source array and indexes into the source array, will keep only unique | |
indices into the source array, rewriting the indices to point to the new |
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class IndexedList(list): | |
""" | |
Class that combines a list and a dict into a single class | |
- Written by Hugh Bothwell (http://stackoverflow.com/users/33258/hugh-bothwell) | |
- Original source available at: | |
http://stackoverflow.com/questions/5332841/python-list-dict-property-best-practice/5334686#5334686 | |
- Modifications by Jeff Terrace | |
Given an object, obj, that has a property x, this allows you to create an IndexedList like so: | |
L = IndexedList([], ('x')) | |
o = obj() |
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