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| #!/usr/bin/env python | |
| # -*- coding: utf-8 -*- | |
| import os | |
| import math | |
| from itertools import groupby, count | |
| import numpy as np | |
| import matplotlib.pylab as plt | |
| import seaborn as sns | |
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| --------------------------------------------------------------------------- | |
| CalledProcessError Traceback (most recent call last) | |
| /Users/oliverlee/repos/sympy/sympy/printing/preview.py in preview(expr, output, viewer, euler, packages, filename, outputbuffer, preamble, dvioptions, outputTexFile, **latex_settings) | |
| 200 check_output(['latex', '-halt-on-error', '-interaction=nonstopmode', | |
| --> 201 'texput.tex'], cwd=workdir, stderr=STDOUT) | |
| 202 except CalledProcessError as e: | |
| /Users/oliverlee/miniconda3/envs/dev/lib/python3.4/subprocess.py in check_output(timeout, *popenargs, **kwargs) | |
| 619 if retcode: | |
| --> 620 raise CalledProcessError(retcode, process.args, output=output) |
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| In [1]: import h5py | |
| In [2]: f = h5py.File('../data/20160107-113037_sensor_data.h5', 'r') | |
| In [3]: def p(x, obj): | |
| ...: try: | |
| ...: attrs = list(obj.attrs.items()) | |
| ...: if attrs: | |
| ...: print(x, attrs) | |
| ...: else: |
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| from hdbscan import HDBSCAN | |
| from sklearn import metrics | |
| from sklearn.preprocessing import StandardScaler | |
| import numpy as np | |
| import scipy.spatial | |
| import seaborn as sns | |
| xy_lim = ((-60, 60), (0, 60)) | |
| n = 12 |
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| from hdbscan import HDBSCAN | |
| from sklearn import metrics | |
| from sklearn.preprocessing import StandardScaler | |
| import numpy as np | |
| import scipy.spatial | |
| import seaborn as sns | |
| xy_lim = ((-60, 60), (0, 60)) | |
| n = 12 |
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| #!/usr/bin/env python | |
| # -*- coding: utf-8 -*- | |
| def solution(T): | |
| winter, summer = winter_split(T) | |
| #print('winter', winter) | |
| #print('summer', summer) | |
| #assert set(winter).isdisjoint(set(summer)) | |
| return len(winter) |
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| extern crate rand; | |
| use crate::dominion::CardKind; | |
| use rand::thread_rng; | |
| use rand::seq::SliceRandom; | |
| type CardVec = Vec<&'static CardKind>; | |
| #[derive(Debug)] | |
| pub struct Player { |
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| #include <iostream> | |
| #include <vector> | |
| struct C { | |
| C(int a, int b) : a_{a}, b_{b} { std::cout << "ctor" << std::endl; } | |
| ~C() { std::cout << "dtor" << std::endl; } | |
| int a_; | |
| int b_; | |
| } __attribute__((packed)); |
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