DarrylD

app.directive('dynamicHeight', function() {
    return {
        require: ['^ionSlideBox'],
        link: function(scope, elem, attrs, slider) {
            scope.$watch(function() {
                return slider[0].__slider.selected();
            }, function(val) {
                //getting the heigh of the container that has the height of the viewport
                var newHeight = window.getComputedStyle(elem.parent()[0], null).getPropertyValue("height");
                if (newHeight) {

jlln

def splitDataFrameList(df,target_column,separator):
    ''' df = dataframe to split,
    target_column = the column containing the values to split
    separator = the symbol used to perform the split

    returns: a dataframe with each entry for the target column separated, with each element moved into a new row. 
    The values in the other columns are duplicated across the newly divided rows.
    '''
    def splitListToRows(row,row_accumulator,target_column,separator):
        split_row = row[target_column].split(separator)

joinAero

package cc.cubone.turbo.core.bluetooth;

/**
 * Interface definition for a callback to be invoked when bluetooth state changed.
 */
public interface BluetoothCallback {

    /**
     * Called when the bluetooth is off.
     */

cagataycali

pm2 start app.js --interpreter ./node_modules/.bin/babel-node

thomasdarimont

package demo.plain;

import org.keycloak.OAuth2Constants;
import org.keycloak.admin.client.CreatedResponseUtil;
import org.keycloak.admin.client.Keycloak;
import org.keycloak.admin.client.KeycloakBuilder;
import org.keycloak.admin.client.resource.RealmResource;
import org.keycloak.admin.client.resource.UserResource;
import org.keycloak.admin.client.resource.UsersResource;
import org.keycloak.representations.idm.ClientRepresentation;

xtornasol512

Python script to convert DBF database file to CSV

• First download dbfpy: http://sourceforge.net/projects/dbfpy/files/latest/download?source=files
• Then install: sudo python setup.py install

To convert DBF file to CSV:

./dbf2csv database.dbf

justinfx

import asyncore
import socket
import threading


class ChatServer(asyncore.dispatcher):

    def __init__(self, host, port):
        asyncore.dispatcher.__init__(self)

egeulgen

class ProgressPercentage(object):
    ''' Progress Class
    Class for calculating and displaying download progress
    '''
    def __init__(self, client, bucket, filename):
        ''' Initialize
        initialize with: file name, file size and lock.
        Set seen_so_far to 0. Set progress bar length
        '''
        self._filename = filename

elviswolcott

layer=$1

get_regions () {
  echo $(aws ssm get-parameters-by-path --region "us-east-1" --path /aws/service/global-infrastructure/services/lambda/regions --query 'Parameters[].Value' --output text | tr '[:blank:]' '\n' | grep -v -e ^cn- -e ^us-gov- | sort -r)
}
regions=$(get_regions)

get_versions () {
  echo $(aws lambda list-layer-versions --layer-name "$layer" --region "$region" --output text --query LayerVersions[].Version | tr '[:blank:]' '\n')
}

MattLowrieDS

from sklearn.utils.class_weight import compute_class_weight

pass_results = plays_df.loc[plays_df['passResult'].isin(category_lookup.keys()), 'passResult']
all_labels = pass_results.apply(lambda lbl: category_lookup[lbl])
# Create class weights to counter-balance classification during training
y = np.stack(all_labels).argmax(axis=1)
classes = np.unique(y)
weights = compute_class_weight('balanced', classes=classes, y=y)
class_weights = {k: v for k, v in zip(classes, weights)}
print('Class weights:', class_weights)