Benjamin Earl benjameep

## etl_decorators.py
import concurrent.futures
from datetime import datetime, timedelta
import os
import json

def decorator_with_args(decorator):
    """A decorator for decorators, allowing them to be used with or without arguments."""
    def wrapper(*args, **kwargs):
        if len(args) == 1 and callable(args[0]):
            return decorator(args[0])

## normalize_item.py
from collections import UserDict
import re
import warnings

def to_snake_case(s):
    return re.sub(r'(?<!^)(?=[A-Z])', '_', s).lower()

class NormalizedItem(UserDict):
    field_names = {}


## allVisibleElements.js
function allVisibleElements(root=document.body){
  const iter = document.createNodeIterator(root, NodeFilter.SHOW_ELEMENT, {
    acceptNode(e){
      if(e.offsetWidth && e.offsetHeight && e.getClientRects().length)
        return NodeFilter.FILTER_ACCEPT
    }
  })
  const nodes = []
  let node;
  while(node = iter.nextNode())

## keep-talking.ipynb

      
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                benjameep
                / keep-talking.ipynb
            
            
              Created
              December 7, 2022 20:35
            
          
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## splix_servers.html
<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta http-equiv="X-UA-Compatible" content="IE=edge">
    <meta name="viewport" content="width=900, initial-scale=1.0">
    <title>JSON Tables</title>
    <style>
        table, th, td {
            border-collapse: collapse;

## parse_timespan.py
import re
def parse_timespan(str):
    SECOND = 1000
    MINUTE = SECOND*60
    HOUR = MINUTE*60
    DAY = HOUR*24
    multiplier = {
        'ms': 1,
        's':SECOND, 'sec':SECOND, 'second':SECOND, 'seconds':SECOND,
        'm':MINUTE, 'min':MINUTE, 'mins': MINUTE, 'minute': MINUTE, 'minutes':MINUTE,

## find_sessions.py
def find_sessions(table, groupby_col, time_col, max_time_diff='P0DT0H30M0S'):
    time_diff = table.groupby(groupby_col)[time_col].diff()
    new_sessions = np.where(time_diff.isnull() | (time_diff > max_time_diff))[0]
    sessions = pd.Series(dtype=np.float64, index=table.index)
    sessions.iloc[new_sessions] = new_sessions
    sessions = sessions.fillna(method='ffill').astype(int)
    return sessions

## find_sub_networks.py
def find_sub_networks(table, columns):
    aliases = {}
    networks = {}
    n_networks = 0

    def get_network(item):
        network = aliases.get(item)
        while network in aliases:
            network = aliases[network]
        return network

## deserialize_dynamodb_object.py
def deserialize_dynamodb_object(raw):
    def deserialize(val, dynamodb_type):
        if dynamodb_type == 'NULL':
            return None
        elif dynamodb_type == 'N':
            return float(val) if '.' in str(val) else int(val)
        elif dynamodb_type == 'M':
            return deserialize_dynamodb_object(val)
        elif dynamodb_type == 'L':
            return [deserialize_dynamodb_object(n) for n in val]

## add-adobe-ecid-to-pardot-custom-field.html
<script>
var custom_field_name = 'ecid';
var mcmid = document.cookie.match(/MCMID%7C(\w+)%7C/);
var current_query = window.location.search;
if(!current_query.includes(custom_field_name) && mcmid){
    current_query += current_query ? '&' : '?';
    window.location.search = current_query+custom_field_name+'='+mcmid[1];
}
</script>
	import concurrent.futures
	from datetime import datetime, timedelta
	import os
	import json

	def decorator_with_args(decorator):
	"""A decorator for decorators, allowing them to be used with or without arguments."""
	def wrapper(args, *kwargs):
	if len(args) == 1 and callable(args[0]):
	return decorator(args[0])
	from collections import UserDict
	import re
	import warnings

	def to_snake_case(s):
	return re.sub(r'(?<!^)(?=[A-Z])', '_', s).lower()

	class NormalizedItem(UserDict):
	field_names = {}
	function allVisibleElements(root=document.body){
	const iter = document.createNodeIterator(root, NodeFilter.SHOW_ELEMENT, {
	acceptNode(e){
	if(e.offsetWidth && e.offsetHeight && e.getClientRects().length)
	return NodeFilter.FILTER_ACCEPT
	}
	})
	const nodes = []
	let node;
	while(node = iter.nextNode())
	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="UTF-8">
	<meta http-equiv="X-UA-Compatible" content="IE=edge">
	<meta name="viewport" content="width=900, initial-scale=1.0">
	<title>JSON Tables</title>
	<style>
	table, th, td {
	border-collapse: collapse;
	import re
	def parse_timespan(str):
	SECOND = 1000
	MINUTE = SECOND*60
	HOUR = MINUTE*60
	DAY = HOUR*24
	multiplier = {
	'ms': 1,
	's':SECOND, 'sec':SECOND, 'second':SECOND, 'seconds':SECOND,
	'm':MINUTE, 'min':MINUTE, 'mins': MINUTE, 'minute': MINUTE, 'minutes':MINUTE,
	def find_sessions(table, groupby_col, time_col, max_time_diff='P0DT0H30M0S'):
	time_diff = table.groupby(groupby_col)[time_col].diff()
	new_sessions = np.where(time_diff.isnull() \| (time_diff > max_time_diff))[0]
	sessions = pd.Series(dtype=np.float64, index=table.index)
	sessions.iloc[new_sessions] = new_sessions
	sessions = sessions.fillna(method='ffill').astype(int)
	return sessions
	def find_sub_networks(table, columns):
	aliases = {}
	networks = {}
	n_networks = 0

	def get_network(item):
	network = aliases.get(item)
	while network in aliases:
	network = aliases[network]
	return network
	def deserialize_dynamodb_object(raw):
	def deserialize(val, dynamodb_type):
	if dynamodb_type == 'NULL':
	return None
	elif dynamodb_type == 'N':
	return float(val) if '.' in str(val) else int(val)
	elif dynamodb_type == 'M':
	return deserialize_dynamodb_object(val)
	elif dynamodb_type == 'L':
	return [deserialize_dynamodb_object(n) for n in val]
	<script>
	var custom_field_name = 'ecid';
	var mcmid = document.cookie.match(/MCMID%7C(\w+)%7C/);
	var current_query = window.location.search;
	if(!current_query.includes(custom_field_name) && mcmid){
	current_query += current_query ? '&' : '?';
	window.location.search = current_query+custom_field_name+'='+mcmid[1];
	}
	</script>