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;; Current workspace.edn

{:vcs                  "git"
 :top-namespace        "polylith.clj.core"
 :interface-ns         "interface"
 :default-profile-name "default"
 :compact-views        #{}
 :release-tag-pattern  "v[0-9]*"
 :stable-tag-pattern   "stable-*"
 :projects             {"api"           {:alias "api", :test []}

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#!/bin/sh

function install_wireguard () {
  VER=$(cat /opt/vyatta/etc/version | grep Version | grep -q 'v2.0' && echo '-v2.0' || echo '')
  echo "Downloading Wireguard$VER ($BOARD-$RELEASE)..."
  FILENAME="wireguard$VER-$BOARD-$RELEASE.deb"
  DEB_URL="https://github.com/Lochnair/vyatta-wireguard/releases/download/$RELEASE/$FILENAME"
  if (/usr/bin/curl -s -L -o /tmp/$FILENAME $DEB_URL); then
    echo "Installing $FILENAME..."
    dpkg -i /tmp/$FILENAME

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Shakespeare Insult Generator

Description

Welcome to the shakespearean insult generator (based on Shakespeare insult kit)!

This gist contains 5 files (6 including this)!

• insult.py -> code
• w1.txt -> 1st wordset
• w2.txt -> 2nd wordset

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Frequently Used Commands

dockerized rstudio (rocker)

RSTUDIOPASS=<YOUR PASS>
docker run --rm -p 8787:8787 -e PASSWORD=$RSTUDIOPASS rocker/verse

This script will start a docker container of the rocker/verse image, downloading files as needed.

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from keras.applications.inception_v3 import InceptionV3
from keras.models import Model
from keras.layers import Input, Dropout, TimeDistributed, Masking, Dense, RepeatVector
from keras.layers.merge import Add
from keras.layers.recurrent import LSTM, GRU
from keras.regularizers import l2


def NIC(max_caption_len, vocab_size, h, w, rnn='lstm', num_image_features=2048,
        hidden_size=512, embedding_size=512, regularizer=1e-8, **kwargs):

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#!/usr/bin/bash
filename="$1"
while read -r line
do
    OUTPUT_FILENAME_FORMAT="playlists/%(playlist_title)s/%(playlist_index)s - %(title)s.%(ext)s"
    METADATA_FORMAT="%(artist)s - %(title)s"
    youtube-dl -i --extract-audio --audio-format mp3 --add-metadata --metadata-from-title "${METADATA_FORMAT}" -o "${OUTPUT_FILENAME_FORMAT}" "${line}"
done < "$filename"

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class YoloHead(Layer):

    def __init__(self, anchors, num_classes, **kwargs):
        self.anchors = anchors
        self.num_classes = num_classes
        super(YoloHead, self).__init__(**kwargs)

    def call(self, inputs, **kwargs):
        """Convert final layer features to bounding box parameters.

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from keras import backend as K
from keras.layers import Layer

class MaxPoolingMask2D(Layer):
    def __init__(self, pool_size=(2, 2), strides=(2, 2), padding='valid', **kwargs):
        super(MaxPoolingMask2D, self).__init__(**kwargs)
        self.pool_size = pool_size
        self.strides = strides
        self.padding = padding

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26013 silly gunzTarPerm extractEntry test/bed/root_dir1/root_dir1_file2.ext2
26014 silly gunzTarPerm extractEntry test/bed/root_dir1/root_dir1_file3.ext3
26015 silly gunzTarPerm extractEntry lib/source-map/quick-sort.js
26016 silly gunzTarPerm extractEntry lib/source-map/source-map-consumer.js
26017 silly gunzTarPerm extractEntry lib/es6-promise/promise/reject.js
26018 silly gunzTarPerm extractEntry lib/es6-promise/promise/resolve.js
26019 silly gunzTarPerm extractEntry lib/panellayout.d.ts
26020 silly gunzTarPerm modified mode [ 'lib/panellayout.d.ts', 438, 420 ]
26021 silly gunzTarPerm extractEntry addon/edit/matchbrackets.js
26022 silly gunzTarPerm extractEntry test/cases/09-unquoted_attrib.json

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