ericmjl

"""
Author: Eric J. Ma
Affiliation: Massachusetts Institute of Technology.

Purpose of Code:
This code was written because I did not find a sufficiently-concise way of identifying whether
two nodes were connected by some path. Bidirectional Djikstra as implemented in NetworkX returns
False is not connected, but (length, path) if connected; I wanted a pure "True/False" 
implementation.

ericmjl

"""
In response to Stack Overflow question: http://stackoverflow.com/questions/24830029/python-less-greater-than-issue#24830029
"""
 
def batpower(power):
	if power >= 70:
		return "good"
	elif power <= 70 and power > 30:
		return "ok"
	elif power <= 30:

ericmjl

import os

from PyPDF2 import PdfFileReader, PdfFileMerger

files_dir = os.getcwd()

if 'stripped' not in os.listdir(files_dir):
	os.mkdir('stripped')

for f in os.listdir(files_dir):

ericmjl

"""
Author: Eric J. Ma  

Purpose: To merge PDFs together in an automated fashion.
"""


import os

from PyPDF2 import PdfFileReader, PdfFileMerger

ericmjl

language: python
python:
  # We don't actually use the Travis Python, but this keeps it organized.
  - "2.7"
  - "3.4"

sudo: false

install:
  # We do this conditionally because it saves us some downloading if the

ericmjl

# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class

# C extensions
*.so

# Distribution / packaging
.Python

ericmjl

name: envname
dependencies:
- python=3
- package1
- package2
- pip
- pip:
  - pypi_package1
  - pypi_package2

ericmjl

# distutils: extra_compile_args = -O2 -w
# cython: boundscheck=False, nonecheck = False, wraparound=False, cdivision=True

import numpy as np
cimport numpy as np
import operator as op

from cython.parallel import prange
from cython import boundscheck, nonecheck, wraparound

ericmjl

import os
import click

packages = ['circos', 'hiveplot', 'pandoc-attributes',
            'pandoc-fignos', 'pandoc-xnos', 'pandocfilters',
            'twine', 'lektor']

# for f in os.listdir(os.getcwd()):
#     if ".sh" in f:
#         os.system("bash {0}".format(f))

ericmjl

conda list | tr -s ' ' | cut -d ' ' -f1 | uniq -c | awk '$1>1'