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############################# | |
# START: THUMBNAIL HANDLING # | |
############################# | |
# Since handling thumbnails in Nette is painfully slow (loading the whole framework | |
# just to find out that the thumbnail has already existed), there is a workaround | |
# that finds all the generated thumbnails using mod_rewrite and only redirects to the | |
# script if generating a thumbnail is really needed. | |
# Even for generating thumbs the standard Nette usage is slow, so there is another workaround. |
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def change_enum_items(type, parameter_name, new_items, default=None): | |
""" | |
Take an enum-typed parameter in the given autogenerated cfg type and reset its possible values to new_items. | |
You can then start a dynamic_reconfigure server which advertises the changed enum domain. | |
To achieve this, you need to call this function before creating the server. | |
:param type type: One of the autogenerated config types (package.cfg.*Config). | |
:param basestring parameter_name: Name of the enum parameter to change. | |
:param new_items: The items that will form the new domain of the enum. |
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// Author: Martin Pecka ( [email protected] ) | |
// License: BSD | |
#ifndef DEM_GENERATION_SLOW_TOPIC_DIAG_UPDATE_H | |
#define DEM_GENERATION_SLOW_TOPIC_DIAG_UPDATE_H | |
#define private public | |
#include <diagnostic_updater/update_functions.h> | |
#undef private |
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#!/usr/bin/env python | |
#-*- coding: utf-8 -*- | |
import sys, os | |
import re | |
try: bibtexdb = open(sys.argv[1]).read() | |
except: print "Error: specify the file to be processed!" | |
if not os.path.isfile('journalList.txt'): |
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######################################### | |
# DO NOT REPORT ANY BUGS FROM DARKTABLE INSTALLED THIS WAY. | |
# | |
# This is an unofficial compilation & installation guide. | |
# Darktable developers explicitly say that they don't support Windows ANY way and won't fix ANY bugs on Windows. | |
# Please, respect their decision and do not bother them with Windows bugreports. | |
# | |
# If you find a bug, please verify it on a regular Linux/Mac system or inside a virtual machine. | |
# | |
# There is a chance an official Windows build will appear. Just subscribe to https://github.com/darktable-org/darktable/pull/1327 to be informed. |
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diff -Nru @161/etc/config/resolver @/etc/config/resolver | |
--- @161/etc/config/resolver 2017-10-01 21:01:14.375423242 +0200 | |
+++ @/etc/config/resolver 2017-11-02 01:13:47.862130135 +0100 | |
@@ -21,6 +21,7 @@ | |
option log_stderr '1' | |
option log_stdout '1' | |
option forks '1' | |
+ option include_config '/etc/kresd/config.conf' | |
config resolver 'unbound' |
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SOCKSPort 9050 | |
SOCKSPolicy accept 127.0.0.1/32 | |
SOCKSPolicy accept 192.168.18.0/24 | |
SOCKSPolicy accept6 FC00::/7 | |
SOCKSPolicy reject * | |
Log notice syslog | |
RunAsDaemon 1 | |
DataDirectory /srv/tor | |
AvoidDiskWrites 1 | |
ORPort 9001 |
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#!/usr/bin/env python3 | |
import encodings | |
import pkgutil | |
bytes_to_decode = b"\xc4\x9b" | |
codecs = [] | |
for importer, modname, ispkg in pkgutil.iter_modules(encodings.__path__): | |
try: |
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#!/bin/sh /etc/rc.common | |
# This is a procd initscript, so put it in /etc/init.d/ | |
START=79 # Important: this number must be lower than the START number in /etc/init.d/mountd !!! | |
USE_PROCD=1 | |
PROGNAME="/usr/bin/ntfs-3g" | |
# Fill these values as desired |
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import tensorflow as tf | |
import numpy as np | |
class PbModelExecutor: | |
def __init__(self, model_path, input_shape, input_name='input', output_name='output:0'): | |
self.session = tf.Session() | |
self.input = tf.placeholder(tf.float32, shape=input_shape) |
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