Leland Batey lelandbatey

## held_up.py
import itertools
import json
'''
Show the cards you could be holding up in MTGA at instant speed.

TODOs:
    1. Make it color sensitive
    2. Account for cards with flash
    3. Make a UI (like at ALL)

## collection_access_tracker.py
from __future__ import print_function
import inspect
import six


def fmt_stack(frames):
    s = ""
    for f in frames[::-1]:
        s += "{}:{}: {}\n".format(f[1], f[2], '\\n'.join([x.replace('\n', '') for x in f[4]]))
    return s

## histogram_timestamps.py
#!/usr/bin/env python3
'''
A tool for viewing streams of timestamps as histograms.
'''
import matplotlib.pyplot as plt
from datetime import datetime
import matplotlib.dates as mdates
import pandas as pd
import itertools
import argparse

## load_arena_cards.py
import json


def arena_card_db():
    carddb = dict()
    with open("AllCards.json", 'r') as mtgjsonf:
        carddb = json.load(mtgjsonf)

    arena_cards = list()
    for card_name, card in carddb.items():

## sane_text_formatter.go
package main

import (
	"bufio"
	"bytes"
	"fmt"
	"io"
	"io/ioutil"
	"os"
	"strings"

## json_schema_stats
#! /usr/bin/env python3
# Downloaded from here: https://gist.github.com/lelandbatey/64e7c7d3d86b4a1b455a93f593562d68
from collections import Sequence
from operator import itemgetter
from codecs import escape_encode
import argparse
import json
import math
import sys

## treeify.py
#!/usr/bin/env python3
'''
Treeify takes a file (on stdin or passed as the first argument) and converts
it's indentation into a 'tree' representation. As an example:

    what
        is
        this
            thing
        that's

## assign_struct_field_by_tag_name.go
package main

import (
	"fmt"
	"reflect"
	"strings"
)

// The goal: allow assignment to a go struct field based on the name that field
// is tagged with (specifically it's json-tagged name).

## mexican-tomato-rice-and-beans.md

      
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                lelandbatey
                / mexican-tomato-rice-and-beans.md
            
            
              Created Mar 16, 2019
            
              
                A recipe for spanish-style rice with tomato, rice, and beans
              
          
      View mexican-tomato-rice-and-beans.md
  
    
    Taken from here: https://www.finecooking.com/recipe/mexican-tomato-rice-beans
Spanish/Mexican Rice and Beans
Ingredients

1 cup uncooked medium-grain white rice
1 14-1/2-ounce can diced tomatoes (preferably “petite-cut”)
2 Tbs. extra-virgin olive oil
6 medium cloves garlic, finely chopped


## index.html
<!DOCTYPE html>
<html lang="en">
<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.1.1/jquery.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/lodash@4.17.11/lodash.min.js"></script>

<body style="margin: 0;">
	<div>
		<canvas id='canvas1' width='800' height='200'></canvas>
	</div>
	<div>
	import itertools
	import json
	'''
	Show the cards you could be holding up in MTGA at instant speed.

	TODOs:
	1. Make it color sensitive
	2. Account for cards with flash
	3. Make a UI (like at ALL)
	from __future__ import print_function
	import inspect
	import six


	def fmt_stack(frames):
	s = ""
	for f in frames[::-1]:
	s += "{}:{}: {}\n".format(f[1], f[2], '\\n'.join([x.replace('\n', '') for x in f[4]]))
	return s
	#!/usr/bin/env python3
	'''
	A tool for viewing streams of timestamps as histograms.
	'''
	import matplotlib.pyplot as plt
	from datetime import datetime
	import matplotlib.dates as mdates
	import pandas as pd
	import itertools
	import argparse
	import json


	def arena_card_db():
	carddb = dict()
	with open("AllCards.json", 'r') as mtgjsonf:
	carddb = json.load(mtgjsonf)

	arena_cards = list()
	for card_name, card in carddb.items():
	package main

	import (
	"bufio"
	"bytes"
	"fmt"
	"io"
	"io/ioutil"
	"os"
	"strings"
	#! /usr/bin/env python3
	# Downloaded from here: https://gist.github.com/lelandbatey/64e7c7d3d86b4a1b455a93f593562d68
	from collections import Sequence
	from operator import itemgetter
	from codecs import escape_encode
	import argparse
	import json
	import math
	import sys
	#!/usr/bin/env python3
	'''
	Treeify takes a file (on stdin or passed as the first argument) and converts
	it's indentation into a 'tree' representation. As an example:

	what
	is
	this
	thing
	that's
	<!DOCTYPE html>
	<html lang="en">
	<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.1.1/jquery.min.js"></script>
	<script src="https://cdn.jsdelivr.net/npm/lodash@4.17.11/lodash.min.js"></script>

	<body style="margin: 0;">
	<div>
	<canvas id='canvas1' width='800' height='200'></canvas>
	</div>
	<div>