Chase Dowling cpatdowling

## blockface_geo_distance_example.py
### compute pairwise distnances

from sklearn.metrics.pairwise import haversine_distances
import numpy as np

#here we make up a bunch of random coordinates
lats = np.random.uniform(45,47,size=(100,))
longs = np.random.uniform(-120,-100,size=(100,))
coords = list(zip(lats, longs))

## linear_transition_kernel.py
import numpy as np

def return_linear_pdf(n):
    #n is the number of dimensions/players in the joint action
    #this describes a n-dimensional linear surface defined from [0,1] that integrates to 1
    P = lambda x: (2.0/float(n))*np.sum(x)
    return(P)

def return_linear_cdf(n):
    #cummulative distribution function for linear PDF

## date_to_feature.py
from datetime import datetime as dt
import calendar
import numpy as np

def num_to_circle(z):
    #this functions accepts a number between 0 and 1 and projects it onto x, y coordinates on the unit circle
    x = np.cos(2*np.pi*z)
    y = np.sin(2*np.pi*z)
    return((x, y))


## dynamic_function_generation_for_tkinter_buttons.py
#credit to StackOverflow user yann-vernier for means of abuse of globals()
#https://stackoverflow.com/questions/49631178/using-for-loop-to-define-multiple-functions-python

import time
import tkinter as tk
from types import FunctionType
from copy import copy

#The GUI will print filenames and some filename feature when button presses are passively detected

## tkinter_while_loop_switch.py
import tkinter as tk

flag = False  # Global flag
idx = 0  # loop index

def switch():
    """Enable scanning by setting the global flag to True."""
    global flag
    flag = True

## jupyter_header.txt
#cells will fill entire width of the browser
from IPython.display import display, HTML

display(HTML(data="""
<style>
    div#notebook-container    { width: 95%; }
    div#menubar-container     { width: 65%; }
    div#maintoolbar-container { width: 99%; }
</style>
"""))

## help_for_sean.py
import copy
import random

global market_ref
market_ref = {'item_1': 100.0,
              'item_2': 200.0,
              'item_3': 100.0}

def market_shift():
    #updates the global market baseline

## matlab_to_np_txt_array.py
def read_matlab_float(strin):
    strin = strin.strip()
    tokens = strin.split("e")
    sign_ = tokens[1][0]
    if sign_ == "-":
        sign = -1.0
    else:
        sign = 1.0
    p = float(tokens[1][1:].strip())
    mant = float(tokens[0])

## send_notif_email.py
#Requires google application password generation if using 2-factor authentication
#https://support.google.com/accounts/answer/185833?hl=en

#Update credential storage method in __init__ method

#Example usage:
"""
from send_notif_email import *

try:

## mapoverlay.py
#Example usage
"""
upleft = [47.6197793,-122.3592749]  Upper left coordinate of map image
bttmright = [47.607274, -122.334786] Lower right coordinate of map image
imgsize = [1135,864] Pixel size of map image

mp = MapOverlay(upleft, bttmright, imgsize)

#then given a list of latitude/longitude pairs , we can get their relative positions on the image of the map, note
#that image pixel positions start with (0,0) at the top left of the image, so plotting will require inverting the y-axis
	### compute pairwise distnances

	from sklearn.metrics.pairwise import haversine_distances
	import numpy as np

	#here we make up a bunch of random coordinates
	lats = np.random.uniform(45,47,size=(100,))
	longs = np.random.uniform(-120,-100,size=(100,))
	coords = list(zip(lats, longs))
	import numpy as np

	def return_linear_pdf(n):
	#n is the number of dimensions/players in the joint action
	#this describes a n-dimensional linear surface defined from [0,1] that integrates to 1
	P = lambda x: (2.0/float(n))*np.sum(x)
	return(P)

	def return_linear_cdf(n):
	#cummulative distribution function for linear PDF
	from datetime import datetime as dt
	import calendar
	import numpy as np

	def num_to_circle(z):
	#this functions accepts a number between 0 and 1 and projects it onto x, y coordinates on the unit circle
	x = np.cos(2np.piz)
	y = np.sin(2np.piz)
	return((x, y))
	#credit to StackOverflow user yann-vernier for means of abuse of globals()
	#https://stackoverflow.com/questions/49631178/using-for-loop-to-define-multiple-functions-python

	import time
	import tkinter as tk
	from types import FunctionType
	from copy import copy

	#The GUI will print filenames and some filename feature when button presses are passively detected
	import tkinter as tk

	flag = False # Global flag
	idx = 0 # loop index

	def switch():
	"""Enable scanning by setting the global flag to True."""
	global flag
	flag = True
	#cells will fill entire width of the browser
	from IPython.display import display, HTML

	display(HTML(data="""
	<style>
	div#notebook-container { width: 95%; }
	div#menubar-container { width: 65%; }
	div#maintoolbar-container { width: 99%; }
	</style>
	"""))
	import copy
	import random

	global market_ref
	market_ref = {'item_1': 100.0,
	'item_2': 200.0,
	'item_3': 100.0}

	def market_shift():
	#updates the global market baseline
	def read_matlab_float(strin):
	strin = strin.strip()
	tokens = strin.split("e")
	sign_ = tokens[1][0]
	if sign_ == "-":
	sign = -1.0
	else:
	sign = 1.0
	p = float(tokens[1][1:].strip())
	mant = float(tokens[0])
	#Requires google application password generation if using 2-factor authentication
	#https://support.google.com/accounts/answer/185833?hl=en

	#Update credential storage method in __init__ method

	#Example usage:
	"""
	from send_notif_email import *

	try:
	#Example usage
	"""
	upleft = [47.6197793,-122.3592749] Upper left coordinate of map image
	bttmright = [47.607274, -122.334786] Lower right coordinate of map image
	imgsize = [1135,864] Pixel size of map image

	mp = MapOverlay(upleft, bttmright, imgsize)

	#then given a list of latitude/longitude pairs , we can get their relative positions on the image of the map, note
	#that image pixel positions start with (0,0) at the top left of the image, so plotting will require inverting the y-axis