thejevans

import numpy as np
# build transition matrix
transition_matrix = np.zeros((900,900))

# corner cases
corner_transition_idx = [(0, 1), (0, 30), (29, 28), (29, 59), (870, 871), (870, 840), (899, 898), (899, 869)]

# edge cases
top_idx = [(x, x+30) for x in range(1, 29)] + [(x, x-1) for x in range(1, 29)] + [(x, x+1) for x in range(1, 29)]
left_idx = [(x, x+30) for x in range(30, 870, 30)] + [(x, x-30) for x in range(30, 870, 30)] + [(x, x+1) for x in range(30, 870, 30)]

thejevans

thejevans

#!/bin/bash

# takes desired critical percentage as first argument and
# charged percentage as second, both with default values.
# example usages:
#
# framework_powerled_color.sh
# framework_powerled_color.sh 10
# framework_powerled_color.sh 10 98
#

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#!/bin/bash

# best used with watch
# example:
# watch -n 30 "./dag_watch.sh dag1.dag dag2.dag dag3.dag"

TOWATCH=("$@")
for DAG in "${TOWATCH[@]}"; do
	echo "${DAG}:"
	DAGOUT="${DAG}.dagman.out"

thejevans

thejevans

Want bikes off the sidewalk? Build bike lanes.

While UMD policy states that bikes and scooters should be ridden on the road and off of sidewalks[^1], university infrastructure does nothing to incentivize their policy. So when scooterists or cyclists find the university roads unsafe or inconvenient, they take to the sidewalks. Without separate infrastructure, individuals will continue to violate university policy.

We are at a turning point where UMD policy can no longer ignore the deficiencies in transportation infrastructure. The Metro Purple Line construction through campus is a great opportunity for improved infrastructure. More people are cycling since the start of the pandemic[^9]. Fuel prices are high enough that people might also consider cycling as opposed to driving[^10].

A few years ago, while commuting to campus by bicycle, a car abruptly turned in front of me resulting in a collision that not only destroyed my bicycle, but left me with injuries that took months to heal. After a few more close

thejevans

thejevans

thejevans

import ast
import json
import os
import sys
import time

import pandas as pd
import py_nextbus

def parse_and_list(pairs: list) -> dict:

thejevans