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# Author: Kyle Kastner | |
# License: BSD 3-Clause | |
# Implementing http://mnemstudio.org/path-finding-q-learning-tutorial.htm | |
# Q-learning formula from http://sarvagyavaish.github.io/FlappyBirdRL/ | |
# Visualization based on code from Gael Varoquaux [email protected] | |
# http://scikit-learn.org/stable/auto_examples/applications/plot_stock_market.html | |
import numpy as np | |
import matplotlib.pyplot as plt | |
from matplotlib.collections import LineCollection |
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class MultipleFieldLookupORMixin(object): | |
""" | |
Actual code http://www.django-rest-framework.org/api-guide/generic-views/#creating-custom-mixins | |
Apply this mixin to any view or viewset to get multiple field filtering | |
based on a `lookup_fields` attribute, instead of the default single field filtering. | |
""" | |
def get_object(self): | |
queryset = self.get_queryset() # Get the base queryset | |
queryset = self.filter_queryset(queryset) # Apply any filter backends | |
filter = {} |
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""" | |
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy) | |
BSD License | |
""" | |
import numpy as np | |
# data I/O | |
data = open('input.txt', 'r').read() # should be simple plain text file | |
chars = list(set(data)) | |
data_size, vocab_size = len(data), len(chars) |