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<!DOCTYPE html> | |
<html lang="en"> | |
<style> | |
.parent { | |
display: grid; | |
grid-template-columns: 2fr 1fr; | |
grid-template-rows: repeat(2, 1fr); | |
grid-column-gap: 0px; | |
grid-row-gap: 0px; |
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<!DOCTYPE html> | |
<html lang="en"> | |
<body> | |
<table boder="0" width="100%"> | |
<tr> | |
<td style="vertical-align: top;"> | |
<iframe src="https://www.meteoblue.com/de/wetter/woche/k%C3%B6ln_deutschland_2886242#meteogram" width="100%" height="500" scrolling="no"></iframe> | |
<iframe src="https://www.meteoblue.com/de/wetter/woche/k%C3%B6ln_deutschland_2886242" width="100%" height="1000"></iframe> | |
</td> |
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<!DOCTYPE html> | |
<html lang="en"> | |
<body> | |
<table boder="0" width="100%"> | |
<tr> | |
<td style="vertical-align: top;"> | |
<iframe src="https://www.meteoblue.com/de/wetter/woche/k%C3%B6ln_deutschland_2886242#meteogram" width="100%" height="500" scrolling="no"></iframe> | |
<iframe src="https://www.meteoblue.com/de/wetter/woche/k%C3%B6ln_deutschland_2886242" width="100%" height="1000" scrolling="no"></iframe> | |
</td> |
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import itertools | |
from collections import namedtuple | |
import numpy as np | |
import scipy.sparse.linalg | |
def step(): | |
W = 0 | |
''' | |
div E = rho / eta0 | |
div B = 0 |
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Loading: ./model_acc_0.00_ppl_624.87_e2.pt | |
/home/manuel/tmp/x/OpenNMT-py/virtenv/lib/python3.5/site-packages/torch/nn/modules/rnn.py:38: UserWarning: dropout option adds dropout after all but last recurrent layer, so non-zero dropout expects num_layers greater than 1, but got dropout=0.3 and num_layers=1 | |
"num_layers={}".format(dropout, num_layers)) | |
Loading model parameters. | |
ReinforcedModel( | |
(encoder): RNNEncoder( | |
(embeddings): Embeddings( | |
(make_embedding): Sequential( | |
(emb_luts): Elementwise( | |
(0): Embedding(32567, 500, padding_idx=1) |
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333g flour | |
233ml water | |
13g olive oil | |
7g salt | |
3g dried yeast |
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fn main() { | |
loop { | |
let beacon = { | |
match true { | |
false => 4, | |
true => break, | |
} | |
}; | |
drop(&beacon); | |
} |
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#![feature(proc_macro, generators, pin)] | |
pub extern crate std as stdx; | |
pub extern crate futures_async_runtime; | |
extern crate tokio; | |
extern crate futures as futures1; | |
extern crate futures_core; | |
extern crate futures_compat; | |
extern crate futures_executor; | |
extern crate futures_macro_async; |
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Bringing machine 'default' up with 'virtualbox' provider... | |
==> default: Box 'ubuntu/wily64' could not be found. Attempting to find and install... | |
default: Box Provider: virtualbox | |
default: Box Version: >= 0 | |
==> default: Loading metadata for box 'ubuntu/wily64' | |
default: URL: https://atlas.hashicorp.com/ubuntu/wily64 | |
==> default: Adding box 'ubuntu/wily64' (v20160715.0.0) for provider: virtualbox | |
default: Downloading: https://atlas.hashicorp.com/ubuntu/boxes/wily64/versions/20160715.0.0/providers/virtualbox.box | |
==> default: Successfully added box 'ubuntu/wily64' (v20160715.0.0) for 'virtualbox'! | |
==> default: Importing base box 'ubuntu/wily64'... |
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#!/usr/bin/env python | |
# migrated from java code: | |
# https://github.com/KEOpenSource/EllipsoidFit/blob/master/EllipsoidFit/src/ellipsoidFit/FitPoints.java | |
import numpy as np | |
from numpy.linalg import svd, pinv, eig | |
from mpl_toolkits.mplot3d import Axes3D | |
from matplotlib import pyplot as plt | |
def solveSystem(points): |
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