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------------------------------------------------------------ | |
/home/itamar/.local/bin/pip-3.3 run on Sat Jan 11 19:15:31 2014 | |
Downloading/unpacking svn+ssh://[email protected]/svn/Twisted/branches/python3-setup-6539 | |
Checking out svn+ssh://[email protected]/svn/Twisted/branches/python3-setup-6539 to ./pip-qk0ee4-build | |
Found command 'svn' at '/usr/bin/svn' | |
Running command /usr/bin/svn checkout -q --username itamarst svn+ssh://[email protected]/svn/Twisted/branches/python3-setup-6539 /tmp/pip-qk0ee4-build | |
Running setup.py egg_info for package from svn+ssh://[email protected]/svn/Twisted/branches/python3-setup-6539 |
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# my_effect.py | |
""" | |
In normal code, side-effecty code is run as usual. | |
In tests one can (with a context manager, perhaps) disable side-effects and figure out | |
what the intention of the code is without actually triggering any side-effects. | |
""" | |
class IEffect(Interface): | |
def run(): |
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[ /#0 3fba6baf-8125-4f7c-8c1b-8f687d8a22d3 17:05:44.321218Z | |
action_type: "check_links" | |
action_status: "started" | |
url: "http://example.com" | |
[ /1/#0 3fba6baf-8125-4f7c-8c1b-8f687d8a22d3 17:05:44.321330Z | |
action_type: "download" | |
action_status: "started" | |
url: "http://example.com" |
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In [4]: df = pd.DataFrame({"a": [1, 2, 3], "b": [4, 5, 6]}, index=["x", "y", "z"]) | |
In [5]: df | |
Out[5]: | |
a b | |
x 1 4 | |
y 2 5 | |
z 3 6 | |
In [6]: df["a"] |
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$ conda update -n base -c defaults conda | |
Solving environment: done | |
==> WARNING: A newer version of conda exists. <== | |
current version: 4.5.11 | |
latest version: 4.6.3 | |
Please update conda by running |
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import threading | |
import time | |
from _thread import interrupt_main | |
import signal | |
import os | |
import ctypes | |
def interrupter(): | |
time.sleep(1) # make sure input() is waiting | |
print("Interrupting!") |
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## dmesg -w -T | grep -i igc | |
``` | |
[Tue Nov 8 12:28:33 2022] igc 0000:02:00.0: PTM enabled, 4ns granularity | |
[Tue Nov 8 12:28:33 2022] igc 0000:02:00.0 (unnamed net_device) (uninitialized): PHC added | |
[Tue Nov 8 12:28:33 2022] igc 0000:02:00.0: 4.000 Gb/s available PCIe bandwidth (5.0 GT/s PCIe x1 link) | |
[Tue Nov 8 12:28:33 2022] igc 0000:02:00.0 eth0: MAC: d8:5e:d3:af:21:82 | |
[Tue Nov 8 12:28:33 2022] igc 0000:02:00.0 enp2s0: renamed from eth0 | |
[Tue Nov 8 12:28:41 2022] igc 0000:02:00.0 enp2s0: NIC Link is Up 1000 Mbps Full Duplex, Flow Control: RX/TX | |
[Tue Nov 8 13:03:38 2022] igc 0000:02:00.0 enp2s0: PCIe link lost, device now detached |
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#!/bin/bash | |
set -euo pipefail | |
flake8 src/ | |
python -m coverage run --branch -m twisted.trial "$@" | |
coverage combine | |
coverage xml | |
diff-cover coverage.xml --compare-branch origin/master --html-report ~/temp/tahoe-coverage.html | |
firefox ~/temp/tahoe-coverage.html |
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@numba.jit(nopython=True, parallel=True, fastmath=True) | |
def spatial_regularisation_numbaoptimized(x: np.ndarray, dy: int = 1, dx: int = 1) -> float: | |
ny, nx = x.shape | |
total_cost = 0.0 | |
for i in numba.prange(ny): | |
i = numba.int64(i) | |
min_y = max(i - dy, 0) | |
max_y = min(i + dy + 1, ny) | |
for j in numba.prange(nx): |
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from wgpu.utils.compute import compute_with_buffers | |
from wgpu.utils import get_default_device | |
import numpy as np | |
from time import time | |
# A "shader"" is a program that will run on the GPU: | |
SHADER = """ | |
@group(0) @binding(0) | |
var<storage,read> input1: array<i32>; |