hexsha string | size int64 | ext string | lang string | max_stars_repo_path string | max_stars_repo_name string | max_stars_repo_head_hexsha string | max_stars_repo_licenses list | max_stars_count int64 | max_stars_repo_stars_event_min_datetime string | max_stars_repo_stars_event_max_datetime string | max_issues_repo_path string | max_issues_repo_name string | max_issues_repo_head_hexsha string | max_issues_repo_licenses list | max_issues_count int64 | max_issues_repo_issues_event_min_datetime string | max_issues_repo_issues_event_max_datetime string | max_forks_repo_path string | max_forks_repo_name string | max_forks_repo_head_hexsha string | max_forks_repo_licenses list | max_forks_count int64 | max_forks_repo_forks_event_min_datetime string | max_forks_repo_forks_event_max_datetime string | content string | avg_line_length float64 | max_line_length int64 | alphanum_fraction float64 | qsc_code_num_words_quality_signal int64 | qsc_code_num_chars_quality_signal float64 | qsc_code_mean_word_length_quality_signal float64 | qsc_code_frac_words_unique_quality_signal float64 | qsc_code_frac_chars_top_2grams_quality_signal float64 | qsc_code_frac_chars_top_3grams_quality_signal float64 | qsc_code_frac_chars_top_4grams_quality_signal float64 | qsc_code_frac_chars_dupe_5grams_quality_signal float64 | qsc_code_frac_chars_dupe_6grams_quality_signal float64 | qsc_code_frac_chars_dupe_7grams_quality_signal float64 | qsc_code_frac_chars_dupe_8grams_quality_signal float64 | qsc_code_frac_chars_dupe_9grams_quality_signal float64 | qsc_code_frac_chars_dupe_10grams_quality_signal float64 | qsc_code_frac_chars_replacement_symbols_quality_signal float64 | qsc_code_frac_chars_digital_quality_signal float64 | qsc_code_frac_chars_whitespace_quality_signal float64 | qsc_code_size_file_byte_quality_signal float64 | qsc_code_num_lines_quality_signal float64 | qsc_code_num_chars_line_max_quality_signal float64 | qsc_code_num_chars_line_mean_quality_signal float64 | qsc_code_frac_chars_alphabet_quality_signal float64 | qsc_code_frac_chars_comments_quality_signal float64 | qsc_code_cate_xml_start_quality_signal float64 | qsc_code_frac_lines_dupe_lines_quality_signal float64 | qsc_code_cate_autogen_quality_signal float64 | qsc_code_frac_lines_long_string_quality_signal float64 | qsc_code_frac_chars_string_length_quality_signal float64 | qsc_code_frac_chars_long_word_length_quality_signal float64 | qsc_code_frac_lines_string_concat_quality_signal float64 | qsc_code_cate_encoded_data_quality_signal float64 | qsc_code_frac_chars_hex_words_quality_signal float64 | qsc_code_frac_lines_prompt_comments_quality_signal float64 | qsc_code_frac_lines_assert_quality_signal float64 | qsc_codepython_cate_ast_quality_signal float64 | qsc_codepython_frac_lines_func_ratio_quality_signal float64 | qsc_codepython_cate_var_zero_quality_signal bool | qsc_codepython_frac_lines_pass_quality_signal float64 | qsc_codepython_frac_lines_import_quality_signal float64 | qsc_codepython_frac_lines_simplefunc_quality_signal float64 | qsc_codepython_score_lines_no_logic_quality_signal float64 | qsc_codepython_frac_lines_print_quality_signal float64 | qsc_code_num_words int64 | qsc_code_num_chars int64 | qsc_code_mean_word_length int64 | qsc_code_frac_words_unique null | qsc_code_frac_chars_top_2grams int64 | qsc_code_frac_chars_top_3grams int64 | qsc_code_frac_chars_top_4grams int64 | qsc_code_frac_chars_dupe_5grams int64 | qsc_code_frac_chars_dupe_6grams int64 | qsc_code_frac_chars_dupe_7grams int64 | qsc_code_frac_chars_dupe_8grams int64 | qsc_code_frac_chars_dupe_9grams int64 | qsc_code_frac_chars_dupe_10grams int64 | qsc_code_frac_chars_replacement_symbols int64 | qsc_code_frac_chars_digital int64 | qsc_code_frac_chars_whitespace int64 | qsc_code_size_file_byte int64 | qsc_code_num_lines int64 | qsc_code_num_chars_line_max int64 | qsc_code_num_chars_line_mean int64 | qsc_code_frac_chars_alphabet int64 | qsc_code_frac_chars_comments int64 | qsc_code_cate_xml_start int64 | qsc_code_frac_lines_dupe_lines int64 | qsc_code_cate_autogen int64 | qsc_code_frac_lines_long_string int64 | qsc_code_frac_chars_string_length int64 | qsc_code_frac_chars_long_word_length int64 | qsc_code_frac_lines_string_concat null | qsc_code_cate_encoded_data int64 | qsc_code_frac_chars_hex_words int64 | qsc_code_frac_lines_prompt_comments int64 | qsc_code_frac_lines_assert int64 | qsc_codepython_cate_ast int64 | qsc_codepython_frac_lines_func_ratio int64 | qsc_codepython_cate_var_zero int64 | qsc_codepython_frac_lines_pass int64 | qsc_codepython_frac_lines_import int64 | qsc_codepython_frac_lines_simplefunc int64 | qsc_codepython_score_lines_no_logic int64 | qsc_codepython_frac_lines_print int64 | effective string | hits int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
73b8db5714154072049f41562b46bb8f89e7deee | 1,233 | py | Python | shortest-paths.py | SAUSy-Lab/map-speed-test | 0c9e78056017a247976ff63782c6366c5a724bf4 | [
"MIT"
] | 2 | 2017-03-31T02:16:57.000Z | 2019-07-13T14:31:04.000Z | shortest-paths.py | SAUSy-Lab/map-speed-test | 0c9e78056017a247976ff63782c6366c5a724bf4 | [
"MIT"
] | 10 | 2017-01-07T04:26:41.000Z | 2017-03-07T21:00:27.000Z | shortest-paths.py | SAUSy-Lab/map-speed-test | 0c9e78056017a247976ff63782c6366c5a724bf4 | [
"MIT"
] | null | null | null | # calculate shortest paths between OD pairs
# in the map_speed_od postgis table
# update the shortest path geometry into the table
import requests, json, psycopg2
# get OD pairs from DB
conn_string = (
"host='localhost' dbname='' user='' password=''"
)
connection = psycopg2.connect(conn_string)
connection.autocommit = True
c = connection.cursor()
c.execute("""
SELECT
id,
ST_X(ST_StartPoint(vector)) AS lon1,
ST_Y(ST_StartPoint(vector)) AS lat1,
ST_X(ST_EndPoint(vector)) AS lon2,
ST_Y(ST_EndPoint(vector)) AS lat2
FROM map_speed_od
""")
# iterate over DB pairs
for (rid,lon1,lat1,lon2,lat2) in c.fetchall():
# request route for these points
options = {
'geometries':'geojson',
'overview':'full',
'steps':'false',
'annotations':'false'
}
response = requests.get(
('http://206.167.182.17:5000/route/v1/transit/'+str(lon1)+','+str(lat1)+';'+str(lon2)+','+str(lat2)),
params=options,
timeout=5
)
# parse the result
j = json.loads(response.text)
print json.dumps(j['routes'][0]['geometry'])
# insert the route result
c.execute("""
UPDATE map_speed_od
SET shortest_path = ST_SetSRID(ST_GeomFromGeoJSON(%s),4326)
WHERE id = %s;
""",
(json.dumps(j['routes'][0]['geometry']),rid,)
)
| 25.163265 | 103 | 0.687753 | 179 | 1,233 | 4.631285 | 0.536313 | 0.038601 | 0.036188 | 0.048251 | 0.060314 | 0.060314 | 0 | 0 | 0 | 0 | 0 | 0.035171 | 0.146796 | 1,233 | 48 | 104 | 25.6875 | 0.752852 | 0.193836 | 0 | 0.054054 | 0 | 0 | 0.477642 | 0.145325 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.027027 | 0.027027 | null | null | 0.027027 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
73b9218ed262aae642dc0406539a72aa91d888bc | 320 | py | Python | my_tools/tools_for_os/for_file.py | Alex2Yang97/waiting_time_project | 649dbaa4bd45b9b9974a5b71a8ee17fada07bcc9 | [
"MIT"
] | null | null | null | my_tools/tools_for_os/for_file.py | Alex2Yang97/waiting_time_project | 649dbaa4bd45b9b9974a5b71a8ee17fada07bcc9 | [
"MIT"
] | 12 | 2020-11-13T17:16:58.000Z | 2021-04-23T01:25:17.000Z | my_tools/tools_for_os/for_file.py | Alex2Yang97/waiting_time_project | 649dbaa4bd45b9b9974a5b71a8ee17fada07bcc9 | [
"MIT"
] | null | null | null | #-*- coding:utf-8 -*-
# @Time : 2020-02-15 15:49
# @Author : Zhirui(Alex) Yang
# @Function :
import os
def create_folder(folder_name):
if not os.path.exists(folder_name):
os.makedirs(folder_name)
print(folder_name, 'has created!')
else:
print(folder_name, 'already existed!')
| 17.777778 | 46 | 0.61875 | 43 | 320 | 4.465116 | 0.697674 | 0.260417 | 0.15625 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.053061 | 0.234375 | 320 | 17 | 47 | 18.823529 | 0.730612 | 0.284375 | 0 | 0 | 0 | 0 | 0.125561 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.142857 | 0 | 0.285714 | 0.285714 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
73c50231a058cf0ef478478e7a36afc7a3fd3081 | 3,481 | py | Python | src/cam_loop.py | stay-whimsical/screamchess | 4950d480f8f33db2bc3f2d94eea5dc6706ae8087 | [
"MIT"
] | 2 | 2019-06-19T20:25:12.000Z | 2021-06-04T04:43:36.000Z | src/cam_loop.py | pablo-meier/screamchess | 4950d480f8f33db2bc3f2d94eea5dc6706ae8087 | [
"MIT"
] | 8 | 2017-08-19T07:09:55.000Z | 2017-08-20T21:11:11.000Z | src/cam_loop.py | pablo-meier/screamchess | 4950d480f8f33db2bc3f2d94eea5dc6706ae8087 | [
"MIT"
] | 1 | 2020-04-17T00:19:43.000Z | 2020-04-17T00:19:43.000Z | from camera import board_image_processor as bip
from chess.models import *
import cv2
import numpy as np
from media.sound import *
def show_webcam(mirror=False):
cam = cv2.VideoCapture(0)
while True:
ret_val, img = cam.read()
#chess_state = process_image(img)
cv2.imshow('webcam', img)
if cv2.waitKey(1) == 27:
break
def one_frame(id=0):
cam = cv2.VideoCapture(id)
ret_val, img = cam.read()
#print("width: " + str(cam.get(3)))
#print("height: " + str(cam.get(4)))
# cv2.imwrite("testimage3.png", img)
return img
def show_all_hsv_color_ranges(steps, board_processor):
step_size = 180/steps
hsv = one_frame()
for i in range(steps):
lower = np.array([i*step_size, 50, 50])
upper = np.array([(i+1)*step_size, 255, 255])
conv = board_processor._get_convolved_image(hsv, (lower, upper))
board_processor._show_image(conv)
def test_color_ranges():
board_processor = bip.BoardProcessor()
red = (np.array([0, 50, 50]), np.array([18, 255, 255]))
green = (np.array([19, 50, 50]), np.array([36, 255, 255]))
blue = (np.array([90, 50, 50]), np.array([108, 255, 255]))
color_map = {'W': green, 'B': blue}
board_processor.set_color_map(color_map)
return board_processor
def blend_images(num):
alpha = 0.5
beta = 1.0 - alpha
gamma = 0.0
img = one_frame()
for i in range(num):
img2 = one_frame()
img = cv2.addWeighted(img, alpha, img2, beta, gamma)
return img
def main_get_color_ranges():
board_processor = bip.BoardProcessor(debug_image_mode=False)
show_all_hsv_color_ranges(10, board_processor)
def main():
print 'Now initializing board processor'
board_processor = bip.BoardProcessor(debug_image_mode=False)
#board_processor = test_color_ranges()
#board_processor = bip.BoardProcessor()
state = board_processor.get_cur_state()
board = Board()
while True:
#img = one_frame()
print 'reading 5 frames'
try:
img = blend_images(5)
tmp_im_path = '/tmp/img.jpg'
cv2.imwrite(tmp_im_path, img)
board_processor._cache_pil_im(tmp_im_path)
board_processor._show_image(img, show_this_image=False)
print 'updating state'
board_processor.update_state(img)
ret_state = board_processor.get_cur_state()
if ret_state != state:
pieces = []
for i in range(0,8):
for j in range(0,8):
if board.state[i][j].piece:
pieces.append(board.state[i][j].piece)
piece_index = random.randint(0, len(pieces) - 1)
if pieces:
play_sound(pieces[piece_index], random_action())
print '\033[34;1m Got state change, new state = \033[0m'
for row in ret_state:
m = []
for x in row:
if x is None:
m.append('-')
else:
m.append('P')
print m
state = ret_state
else:
print 'No new state',
except Exception as e:
print '\033[31;1m GOT EXCEPTION', e, '\033[0m'
# show_webcam()
if __name__ == '__main__':
main()
#main_get_color_ranges()
| 33.152381 | 72 | 0.564493 | 452 | 3,481 | 4.128319 | 0.316372 | 0.127546 | 0.036442 | 0.066452 | 0.219185 | 0.161308 | 0.102894 | 0.053591 | 0 | 0 | 0 | 0.046472 | 0.320023 | 3,481 | 104 | 73 | 33.471154 | 0.741867 | 0.076128 | 0 | 0.117647 | 0 | 0 | 0.057063 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.058824 | null | null | 0.082353 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
73c5ed5d0d7202bd31940ec8f1e4251cfbaeba8a | 10,054 | py | Python | app/views.py | allthingsclowd/K5_User_Onboarding_Example | 313b0033ceb015cca86574762915e02000d4bbbb | [
"MIT"
] | null | null | null | app/views.py | allthingsclowd/K5_User_Onboarding_Example | 313b0033ceb015cca86574762915e02000d4bbbb | [
"MIT"
] | null | null | null | app/views.py | allthingsclowd/K5_User_Onboarding_Example | 313b0033ceb015cca86574762915e02000d4bbbb | [
"MIT"
] | null | null | null | #!/usr/bin/python
"""Summary - Flask Views Used to Control/Wrap a web UI
around the Add User Python Script
Author: Graham Land
Date: 08/12/16
Twitter: @allthingsclowd
Github: https://github.com/allthingscloud
Blog: https://allthingscloud.eu
"""
from flask import flash, render_template, session, request, redirect, url_for, json, make_response
from app import app
import os,binascii
import AddUserToProjectv3 as K5User
import k5APIwrappersV19 as K5API
from functools import wraps
app.secret_key = os.urandom(24)
JSESSION_ID = binascii.b2a_hex(os.urandom(16))
def login_required(f):
"""Summary - Decorator used to ensure that routes channeled through
this function are authenticated already
Otherwise they're returned to the login screen
"""
@wraps(f)
def decorated_function(*args, **kwargs):
if session['regionaltoken'] is None:
return redirect(url_for('index', next=request.url))
return f(*args, **kwargs)
return decorated_function
@app.route('/', methods=['GET', 'POST'])
@app.route('/login', methods=['GET', 'POST'])
def index():
"""Summary - Default login screen used to capture user login details
and authenticate user session
"""
session['regionaltoken'] = None
if request.headers.get('x-forwarded-proto') != 'https':
secure_url=request.url.replace("http://","https://")
return redirect(secure_url)
if request.method == 'POST':
adminUser = request.form.get('k5username', None)
adminPassword = request.form.get('k5password', None)
contract = request.form.get('k5contract', None)
region = request.form.get('k5region', None)
#print adminUser, adminPassword, contract, region
try:
regional_token = K5API.get_unscoped_token(
adminUser, adminPassword, contract, region)
#print regional_token
#print regional_token.json()
defaultid = regional_token.json()['token']['project'].get('id')
global_token = K5API.get_globally_scoped_token(
adminUser, adminPassword, contract, defaultid, region)
if not isinstance(regional_token, str):
#print "Got this far!!"
for role in regional_token.json()['token']['roles']:
if role['name'] == 'cpf_admin':
session['adminUser'] = adminUser
session['adminPassword'] = adminPassword
session['regionaltoken'] = regional_token.headers[
'X-Subject-Token']
session['globaltoken'] = global_token.headers[
'X-Subject-Token']
session['contract'] = contract
session['contractid'] = regional_token.json()['token']['project'][
'domain'].get('id')
session['defaultprjid'] = regional_token.json()['token'][
'project'].get('id')
session['region'] = region
#print "Downloads"
#print session['bubbles'].json()
return redirect(url_for('adduser'))
else:
return render_template('hello-flask-login.html',
title='K5 User Onboarding Portal (Demo)')
except:
return render_template('hello-flask-login.html',
title='K5 User Onboarding Portal (Demo)')
else:
resp = make_response(render_template('hello-flask-login.html',
title='K5 User Onboarding Portal (Demo)'))
resp.set_cookie('JSESSIONID',JSESSION_ID)
return resp
@app.route('/adduser', methods=['GET', 'POST'])
@login_required
def adduser():
"""Summary - Call the add user function
"""
if request.method == 'POST':
if request.form.get('AddUser', None) == "Add User":
adminUser = session['adminUser']
adminPassword = session['adminPassword']
contract = session['contract']
contractid = session['contractid']
region = session['region']
defaultprjid = session['defaultprjid']
try:
regional_token = K5API.get_unscoped_token(
adminUser, adminPassword, contract, region)
global_token = K5API.get_globally_scoped_token(
adminUser, adminPassword, contract, defaultprjid, region)
id_token = K5API.get_unscoped_idtoken(
adminUser, adminPassword, contract)
except:
return render_template('hello-flask-login.html',
title='K5 User Onboarding Portal (Demo)')
newregionaltoken = regional_token.headers['X-Subject-Token']
newglobaltoken = global_token.headers['X-Subject-Token']
email = request.form.get('k5useremail', None)
userProject = request.form.get('k5project', None)
userProjectA = unicode(userProject) + unicode('a')
userProjectB = unicode(userProject) + unicode('b')
try:
resultprojecta = K5User.adduser_to_K5(id_token,
newglobaltoken,
newregionaltoken,
contractid,
contract,
region,
email,
userProjectA)
resultprojectb = K5User.adduser_to_K5(id_token,
newglobaltoken,
newregionaltoken,
contractid,
contract,
region,
email,
userProjectB)
#print result
except:
return render_template('hello-flask-login.html',
title='K5 User Onboarding Portal (Demo)')
if resultprojecta is not None:
#print result
session['newuserlogin'] = resultprojecta[2]
session['newuserpassword'] = resultprojecta[4]
session['newuserstatusa'] = resultprojecta[5]
session['newuserprojecta'] = userProjectA
session['newuserstatusb'] = resultprojectb[5]
session['newuserprojectb'] = userProjectB
session['newusercontract'] = contract
session['newuserregion'] = region
return redirect(url_for('userstatus'))
else:
if request.form.get('Logout', None) == "Logout":
return redirect(url_for('logout'))
if request.method == 'GET':
region = session['region']
defaultprjid = session['defaultprjid']
regionaltoken = session['regionaltoken']
# report_bubbles = json.dumps(download_item_in_storage_container(
# regionaltoken,
# defaultprjid,
# "Bubbles",
# "Bubbles.json", region).json())
report_bubbles = [{ "name": "Test"}]
#print "\n\n\nLoading JSON Details..................\n\n\n"
#print "The actual JSON File.................."
#print report_bubbles
return render_template('hello-flask-adduser.html',
title='K5 Add User',
bubbles=report_bubbles)
@app.route('/userstatus', methods=['GET', 'POST'])
@login_required
def userstatus():
"""Summary - Display the results of the user add request
"""
if request.method == 'POST':
if request.form.get('AddUser', None) == "Add Another User":
return redirect(url_for('adduser'))
else:
if request.form.get('Logout', None) == "Logout":
return redirect(url_for('logout'))
if request.method == 'GET':
username = session['newuserlogin']
userpassword = session['newuserpassword']
userstatusa = session['newuserstatusa']
userprojecta = session['newuserprojecta']
userstatusb = session['newuserstatusb']
userprojectb = session['newuserprojectb']
usercontract = session['newusercontract']
usercontractid = session['contractid']
userregion = session['newuserregion']
return render_template('hello-flask-result.html',
title='K5 New User Details',
userstatus=( 'Username : ' + username +
' | Password : ' + userpassword +
' | Project 1 : ' + userprojecta +
' | Status : ' + userstatusa +
' | Project 2 : ' + userprojectb +
' | Status : ' + userstatusb +
' | Contract : ' + usercontract +
' | Contract ID : ' + usercontractid +
' | Region : ' + userregion))
@app.route('/logout')
@login_required
def logout():
"""Summary - Dump the user session cookies on logout
"""
# remove session vars
session.pop('regionaltoken', None)
session.pop('globaltoken', None)
session.pop('adminUser', None)
session.pop('adminPassword', None)
return redirect(url_for('index'))
| 41.717842 | 98 | 0.514919 | 834 | 10,054 | 6.118705 | 0.266187 | 0.028023 | 0.027435 | 0.027435 | 0.321967 | 0.304527 | 0.222614 | 0.209289 | 0.209289 | 0.209289 | 0 | 0.007213 | 0.379451 | 10,054 | 240 | 99 | 41.891667 | 0.810707 | 0.118958 | 0 | 0.337349 | 0 | 0 | 0.157774 | 0.017937 | 0 | 0 | 0 | 0 | 0 | 1 | 0.036145 | false | 0.072289 | 0.036145 | 0 | 0.174699 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
73c9920f5c36cc9f240880ba80cb675e0c7cb5ca | 5,135 | py | Python | readux/books/abbyyocr.py | jpkarlsberg/readux | 50a895dcf7d64b753a07808e9be218cab3682850 | [
"Apache-2.0"
] | null | null | null | readux/books/abbyyocr.py | jpkarlsberg/readux | 50a895dcf7d64b753a07808e9be218cab3682850 | [
"Apache-2.0"
] | null | null | null | readux/books/abbyyocr.py | jpkarlsberg/readux | 50a895dcf7d64b753a07808e9be218cab3682850 | [
"Apache-2.0"
] | null | null | null | '''
:class:`eulxml.xmlmap.XmlObject` classes for working with ABBYY
FineReadux OCR XML.
Currently supports **FineReader6-schema-v1** and
**FineReader8-schema-v2**.
----
'''
from eulxml import xmlmap
class Base(xmlmap.XmlObject):
'''Base :class:`eulxml.xmlmap.XmlObject` for ABBYY OCR XML with
common namespace declarations.
'''
ROOT_NAMESPACES = {
'fr6v1': 'http://www.abbyy.com/FineReader_xml/FineReader6-schema-v1.xml',
'fr8v2': 'http://www.abbyy.com/FineReader_xml/FineReader8-schema-v2.xml'
}
'namespaces for supported versions of FineReader xml'
id = xmlmap.StringField('@xml:id')
def frns(xpath):
'''Utility function to convert a simple xpath to match any of the
configured versions of ABBYY FineReader XML namespaces. Example
conversions:
* ``page`` becomes ``f1:page|f2:page``
* ``text/par`` becomes ``f1:page/f1:text|f2:page/f2:text``
Uses all declared namespace prefixes from
:attr:`Base.ROOT_NAMESPACES`
'''
namespaces = Base.ROOT_NAMESPACES.keys()
return '|'.join('/'.join('%s:%s' % (ns, el) for el in xpath.split('/'))
for ns in namespaces)
class Formatting(Base):
'''A group of characters in a single :class:`Line` with uniform
formatting.'''
ROOT_NAME = 'formatting'
language = xmlmap.StringField('@lang')
'language of this formatted section'
text = xmlmap.StringField('text()')
'text value'
# char params ?
# boolean attributes for: ff, fs, bold, italic, subscript, superscript,
# smallcaps, underline, strikeout, color, scaling, spacing
class Line(Base):
'''A single line of text in a :class:`Paragraph`.'''
ROOT_NAME = 'line'
baseline = xmlmap.IntegerField('@baseline')
'integer baseline'
left = xmlmap.IntegerField('@l')
'integer left'
top = xmlmap.IntegerField('@t')
'integer top'
right = xmlmap.IntegerField('@r')
'integer right'
bottom = xmlmap.IntegerField('@b')
'integer bottom'
formatted_text = xmlmap.NodeListField(frns('formatting'),
Formatting)
'list of :class:`Formatting` elements'
class Paragraph(Base):
'''A single paragraph of text somewhere in a :class:`Document`.'''
ROOT_NAME = 'par'
align = xmlmap.StringField('@align') # default is Left; Center, Right, Justified
'text alignment (Left, Center, Right, Justified)'
left_indent = xmlmap.IntegerField('@leftIndent')
'integer left indent'
right_indent = xmlmap.IntegerField('@rightIndent')
'integer right indent'
start_indent = xmlmap.IntegerField('@startIndent')
'integer start indent'
line_spacing = xmlmap.IntegerField('@lineSpacing')
'integer line spacing'
# dropChars stuff ?
lines = xmlmap.NodeListField(frns('line'), Line)
'list of :class:`Line` elements'
class Block(Base):
ROOT_NAME = 'page'
'''A single block of content on a :class:`Page`.'''
type = xmlmap.StringField('@blockType') # Text, Table, Picture, Barcode
'type of block (Text, Table, Picture, Barcode)'
left = xmlmap.IntegerField('@l')
'integer left'
top = xmlmap.IntegerField('@t')
'integer top'
right = xmlmap.IntegerField('@r')
'integer right'
bottom = xmlmap.IntegerField('@b')
'integer bottom'
# must have one & only one region;
# region/rect dimensions appears to be redundant...
paragraphs = xmlmap.NodeListField(frns('text/par'), Paragraph)
'list of :class:`Paragraph` elements'
class Page(Base):
'''A single page of a :class:`Document`.'''
ROOT_NAME = 'page'
width = xmlmap.IntegerField('@width')
'integer width'
height = xmlmap.IntegerField('@height')
'integer height'
resolution = xmlmap.IntegerField('@resolution')
'integer resolution'
blocks = xmlmap.NodeListField(frns('block'), Block)
'list of :class:`Block` elements in this page'
text_blocks = xmlmap.NodeListField(frns('block[@blockType="Text"]'),
Block)
'text :class:`Block` elements (where type is "Text")'
picture_blocks = xmlmap.NodeListField(frns('block[@blockType="Picture"]'),
Block)
'picture :class:`Block` elements (where type is "Picture")'
# block position info possibly redundant? map paragraphs directly
paragraphs = xmlmap.NodeListField(frns('block/text/par'),
Paragraph)
'list of :class:`Paragraph` elements in any of the blocks on this page'
class Document(Base):
''':class:`~eulxml.xmlmap.XmlObject` class for an ABBYY
OCR XML Document.
.. Note::
Currently there is no support for tabular formatting elements.
'''
ROOT_NAME ='document'
pages = xmlmap.NodeListField(frns('page'), Page)
'pages as :class:`Page`'
page_count = xmlmap.IntegerField('@pagesCount')
'integer page_count (document ``@pagesCount``)'
language = xmlmap.StringField('@mainLanguage')
'main language of the document'
languages = xmlmap.StringField('@languages')
'all languages included in the document'
| 36.161972 | 84 | 0.651996 | 587 | 5,135 | 5.669506 | 0.301533 | 0.091947 | 0.055288 | 0.033654 | 0.212139 | 0.170673 | 0.110577 | 0.110577 | 0.084135 | 0.084135 | 0 | 0.004467 | 0.21519 | 5,135 | 141 | 85 | 36.41844 | 0.82134 | 0.255696 | 0 | 0.222222 | 0 | 0 | 0.359759 | 0.013942 | 0 | 0 | 0 | 0 | 0 | 1 | 0.011111 | false | 0 | 0.011111 | 0 | 0.544444 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
73cb0638be23bf0c8d4dd43c1030dd71337f3c61 | 2,330 | py | Python | tests/test_markdown_in_code_cells.py | st--/jupytext | f8e8352859cc22e17b11154d0770fd946c4a430a | [
"MIT"
] | 5,378 | 2018-09-01T22:03:43.000Z | 2022-03-31T06:51:42.000Z | tests/test_markdown_in_code_cells.py | st--/jupytext | f8e8352859cc22e17b11154d0770fd946c4a430a | [
"MIT"
] | 812 | 2018-08-31T08:26:13.000Z | 2022-03-30T18:12:11.000Z | tests/test_markdown_in_code_cells.py | st--/jupytext | f8e8352859cc22e17b11154d0770fd946c4a430a | [
"MIT"
] | 380 | 2018-09-02T01:40:07.000Z | 2022-03-25T13:57:23.000Z | """Issue #712"""
from nbformat.v4.nbbase import new_code_cell, new_notebook
from jupytext import reads, writes
from jupytext.cell_to_text import three_backticks_or_more
from jupytext.compare import compare, compare_notebooks
from .utils import requires_myst
def test_three_backticks_or_more():
assert three_backticks_or_more([""]) == "```"
assert three_backticks_or_more(["``"]) == "```"
assert three_backticks_or_more(["```python"]) == "````"
assert three_backticks_or_more(["```"]) == "````"
assert three_backticks_or_more(["`````python"]) == "``````"
assert three_backticks_or_more(["`````"]) == "``````"
def test_triple_backticks_in_code_cell(
no_jupytext_version_number,
nb=new_notebook(
metadata={"main_language": "python"},
cells=[
new_code_cell(
'''a = """
```
foo
```
"""'''
)
],
),
text='''---
jupyter:
jupytext:
main_language: python
---
````python
a = """
```
foo
```
"""
````
''',
):
actual_text = writes(nb, fmt="md")
compare(actual_text, text)
actual_nb = reads(text, fmt="md")
compare_notebooks(actual_nb, nb)
@requires_myst
def test_triple_backticks_in_code_cell_myst(
no_jupytext_version_number,
nb=new_notebook(
metadata={"main_language": "python"},
cells=[
new_code_cell(
'''a = """
```
foo
```
"""'''
)
],
),
text='''---
jupytext:
main_language: python
---
````{code-cell}
a = """
```
foo
```
"""
````
''',
):
actual_text = writes(nb, fmt="md:myst")
compare(actual_text, text)
actual_nb = reads(text, fmt="md:myst")
compare_notebooks(actual_nb, nb)
def test_alternate_tree_four_five_backticks(
no_jupytext_version_number,
nb=new_notebook(
metadata={"main_language": "python"},
cells=[
new_code_cell('a = """\n```\n"""'),
new_code_cell("b = 2"),
new_code_cell('c = """\n````\n"""'),
],
),
text='''---
jupyter:
jupytext:
main_language: python
---
````python
a = """
```
"""
````
```python
b = 2
```
`````python
c = """
````
"""
`````
''',
):
actual_text = writes(nb, fmt="md")
compare(actual_text, text)
actual_nb = reads(text, fmt="md")
compare_notebooks(actual_nb, nb)
| 17.923077 | 63 | 0.564807 | 260 | 2,330 | 4.707692 | 0.203846 | 0.058824 | 0.104575 | 0.130719 | 0.710784 | 0.689542 | 0.689542 | 0.637255 | 0.544118 | 0.544118 | 0 | 0.003356 | 0.232618 | 2,330 | 129 | 64 | 18.062016 | 0.681208 | 0.004292 | 0 | 0.71 | 0 | 0 | 0.223404 | 0 | 0 | 0 | 0 | 0 | 0.06 | 1 | 0.04 | false | 0 | 0.05 | 0 | 0.09 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
73cd6b9d543cd1b702c785eacf0e7b85b40a9737 | 629 | py | Python | amy/workshops/migrations/0152_event_open_ttt_applications.py | code-review-doctor/amy | 268c1a199510457891459f3ddd73fcce7fe2b974 | [
"MIT"
] | 53 | 2015-01-10T17:39:19.000Z | 2019-06-12T17:36:34.000Z | amy/workshops/migrations/0152_event_open_ttt_applications.py | code-review-doctor/amy | 268c1a199510457891459f3ddd73fcce7fe2b974 | [
"MIT"
] | 1,176 | 2015-01-02T06:32:47.000Z | 2019-06-18T11:57:47.000Z | amy/workshops/migrations/0152_event_open_ttt_applications.py | code-review-doctor/amy | 268c1a199510457891459f3ddd73fcce7fe2b974 | [
"MIT"
] | 44 | 2015-01-03T15:08:56.000Z | 2019-06-09T05:33:08.000Z | # Generated by Django 2.1 on 2018-09-02 14:27
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('workshops', '0151_auto_20180902_0409'),
]
operations = [
migrations.AddField(
model_name='event',
name='open_TTT_applications',
field=models.BooleanField(blank=True, default=False, help_text="If this event is TTT, you can mark it as 'open applications' which means that people not associated with this event's member sites can also take part in this event.", verbose_name='TTT Open applications'),
),
]
| 33.105263 | 281 | 0.677266 | 82 | 629 | 5.097561 | 0.768293 | 0.064593 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.061983 | 0.230525 | 629 | 18 | 282 | 34.944444 | 0.801653 | 0.068362 | 0 | 0 | 1 | 0.083333 | 0.416096 | 0.075342 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.083333 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
73cf528b5a42e68ea53f81fc68bbf5a7a0f2cf10 | 688 | py | Python | noheavenbot/cogs/commands/testing.py | Molanito13/noheaven-bot | ad126d4601321ecabff9d1d214ce7d3f4e258c3e | [
"MIT"
] | 3 | 2018-10-13T14:05:24.000Z | 2018-12-25T21:40:21.000Z | noheavenbot/cogs/commands/testing.py | Molanito13/noheaven-bot | ad126d4601321ecabff9d1d214ce7d3f4e258c3e | [
"MIT"
] | 2 | 2018-10-08T14:33:39.000Z | 2020-03-02T18:00:47.000Z | noheavenbot/cogs/commands/testing.py | Molanito13/noheaven-bot | ad126d4601321ecabff9d1d214ce7d3f4e258c3e | [
"MIT"
] | 5 | 2018-10-08T14:18:58.000Z | 2020-11-01T17:55:51.000Z | from discord.ext.commands import command, Cog
from noheavenbot.utils.constants import TEXTCHANNELS
from discord import Member
from noheavenbot.utils.database_tables.table_users import Users
from noheavenbot.utils.validator import has_role as check_role
class Test(Cog):
def __init__(self, bot):
self.bot = bot
@command()
async def test(self, ctx):
if check_role(ctx.message.author.roles, 445947005169303552, True):
admin = True
return await ctx.send('all ok')
else:
return await ctx.send('Solo los administradores pueden añadir bots con permisos de administración.')
def setup(bot):
bot.add_cog(Test(bot))
| 28.666667 | 112 | 0.709302 | 92 | 688 | 5.195652 | 0.586957 | 0.094142 | 0.125523 | 0.075314 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.033149 | 0.210756 | 688 | 23 | 113 | 29.913043 | 0.847145 | 0 | 0 | 0 | 0 | 0 | 0.117733 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.117647 | false | 0 | 0.294118 | 0 | 0.588235 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
73ddae6e14c41c647c3dc794212f25f68df13789 | 1,094 | py | Python | Python/6-hc_sr04-sensor.py | matr1xprogrammer/raspberry_pi-iot | 7ff8247fde839a23dd75720c58f3b04d86485ec4 | [
"MIT"
] | 2 | 2017-02-18T12:05:25.000Z | 2017-02-18T12:15:53.000Z | Python/6-hc_sr04-sensor.py | matr1xprogrammer/raspberry_pi-iot | 7ff8247fde839a23dd75720c58f3b04d86485ec4 | [
"MIT"
] | null | null | null | Python/6-hc_sr04-sensor.py | matr1xprogrammer/raspberry_pi-iot | 7ff8247fde839a23dd75720c58f3b04d86485ec4 | [
"MIT"
] | null | null | null | #!/usr/bin/python
#
# HC-SR04 Ultrasonic ranging sensor
#
import RPi.GPIO as GPIO
import sys, time
try:
GPIO.setmode(GPIO.BCM)
TRIG = 23
ECHO = 24
print "Distance measurement in progress..."
GPIO.setup(TRIG, GPIO.OUT)
GPIO.setup(ECHO, GPIO.IN)
GPIO.output(TRIG, False)
while True:
print "Waiting for sensor to settle"
time.sleep(2)
GPIO.output(TRIG, True)
time.sleep(0.00001)
GPIO.output(TRIG, False)
while GPIO.input(ECHO) == 0:
pulse_start = time.time()
while GPIO.input(ECHO) == 1:
pulse_end = time.time()
pulse_duration = pulse_end - pulse_start
distance = pulse_duration * 17150
distance = round(distance, 2)
print "Distance: ", distance, "cm"
except KeyboardInterrupt:
GPIO.cleanup()
print("<Ctrl+C> pressed... exiting.")
except:
GPIO.cleanup()
print("Error: {0} {1}".format(sys.exc_info()[0], sys.exc_info()[1]))
| 22.791667 | 74 | 0.543876 | 128 | 1,094 | 4.585938 | 0.46875 | 0.051107 | 0.07155 | 0.064736 | 0.081772 | 0 | 0 | 0 | 0 | 0 | 0 | 0.034388 | 0.335466 | 1,094 | 47 | 75 | 23.276596 | 0.77304 | 0.045704 | 0 | 0.133333 | 0 | 0 | 0.1125 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.066667 | null | null | 0.166667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
73de6cd753fb9320e7590a96928403d694712cd8 | 1,632 | py | Python | hc/front/tests/test_add_pdc.py | IfBkg/healthchecks | dcd8a74c6b0bcdb0065e7c27d5b6639823400562 | [
"BSD-3-Clause"
] | 1 | 2020-07-13T15:33:31.000Z | 2020-07-13T15:33:31.000Z | hc/front/tests/test_add_pdc.py | IfBkg/healthchecks | dcd8a74c6b0bcdb0065e7c27d5b6639823400562 | [
"BSD-3-Clause"
] | 53 | 2020-11-27T14:55:01.000Z | 2021-04-22T10:01:13.000Z | hc/front/tests/test_add_pdc.py | IfBkg/healthchecks | dcd8a74c6b0bcdb0065e7c27d5b6639823400562 | [
"BSD-3-Clause"
] | null | null | null | from django.test.utils import override_settings
from hc.api.models import Channel
from hc.test import BaseTestCase
@override_settings(PD_VENDOR_KEY="foo")
class AddPdConnectTestCase(BaseTestCase):
def setUp(self):
super().setUp()
self.url = "/projects/%s/add_pdc/" % self.project.code
def test_it_works(self):
session = self.client.session
session["pd"] = "1234567890AB" # 12 characters
session.save()
self.client.login(username="alice@example.org", password="password")
url = self.url + "1234567890AB/?service_key=123"
r = self.client.get(url, follow=True)
self.assertRedirects(r, self.channels_url)
c = Channel.objects.get()
self.assertEqual(c.kind, "pd")
self.assertEqual(c.pd_service_key, "123")
self.assertEqual(c.project, self.project)
@override_settings(PD_VENDOR_KEY=None)
def test_it_requires_vendor_key(self):
self.client.login(username="alice@example.org", password="password")
r = self.client.get(self.url)
self.assertEqual(r.status_code, 404)
@override_settings(PD_ENABLED=False)
def test_it_requires_pd_enabled(self):
self.client.login(username="alice@example.org", password="password")
r = self.client.get(self.url)
self.assertEqual(r.status_code, 404)
def test_it_requires_rw_access(self):
self.bobs_membership.rw = False
self.bobs_membership.save()
self.client.login(username="bob@example.org", password="password")
r = self.client.get(self.url)
self.assertEqual(r.status_code, 403)
| 34 | 76 | 0.677083 | 212 | 1,632 | 5.056604 | 0.316038 | 0.083955 | 0.033582 | 0.085821 | 0.399254 | 0.319963 | 0.319963 | 0.319963 | 0.319963 | 0.26959 | 0 | 0.028244 | 0.197304 | 1,632 | 47 | 77 | 34.723404 | 0.790076 | 0.007966 | 0 | 0.222222 | 0 | 0 | 0.105133 | 0.030921 | 0 | 0 | 0 | 0 | 0.194444 | 1 | 0.138889 | false | 0.111111 | 0.083333 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
73e0868276739ce21107e9b9452274d8030151db | 2,568 | py | Python | devel_notes/test_class_speed.py | mekhub/alphafold | 8d89abf73ea07841b550b968aceae794acb244df | [
"MIT"
] | 3 | 2019-05-15T16:46:20.000Z | 2019-07-19T13:27:45.000Z | devel_notes/test_class_speed.py | mekhub/alphafold | 8d89abf73ea07841b550b968aceae794acb244df | [
"MIT"
] | null | null | null | devel_notes/test_class_speed.py | mekhub/alphafold | 8d89abf73ea07841b550b968aceae794acb244df | [
"MIT"
] | 4 | 2020-02-08T02:43:01.000Z | 2021-08-22T09:23:17.000Z | #!/usr/bin/python
import time
import sys
import os
from copy import deepcopy
sys.path.append(os.path.join(os.getcwd(), '..'))
from alphafold.partition import DynamicProgrammingData as DP
def getval( DP, idx ):
return DP.X[ idx ][ idx ]
x = [[]]*500
for i in range( 500 ): x[i] = [0.0]*500
dx = deepcopy( x )
xcontrib = [[]]*500
for i in range( 500 ): xcontrib[i] = [[]]*500
xDP = DP( 500 ) # 500x500 object with other stuff in it.
N = 500000
print 'Try for ', N, 'cycles each:'
# Time getting
print 'GETTING'
t0 = time.time()
for i in range( N ): y = x[56][56]
t1 = time.time()
print t1 - t0, 'y = x[56][56]'
t0 = time.time()
for i in range( N ): y = xDP.X[56][56]
t1 = time.time()
print t1 - t0,'y = xDP.X[56][56]'
t0 = time.time()
for i in range( N ): y = getval(xDP,56)
t1 = time.time()
print t1 - t0, 'y = getval(xDP,56)'
t0 = time.time()
for i in range( N ): y = xDP[56][56]
t1 = time.time()
print t1 - t0, 'y = xDP[56][56]'
# Time setting
print 'SETTING'
t0 = time.time()
for i in range( N ): x[56][56] = 20
t1 = time.time()
print t1 - t0, 'x[56][56] = 20'
t0 = time.time()
for i in range( N ): xDP.X[56][56] = 20
t1 = time.time()
print t1 - t0,'xDP.X[56][56] = 20'
t0 = time.time()
for i in range( N ):
val = 20
xDP.X[56][56] = val
t1 = time.time()
print t1 - t0,'val = 20; xDP.X[56][56] = val'
t0 = time.time()
for i in range( N ): xDP[56][56] = 20
t1 = time.time()
print t1 - t0,'xDP[56][56] = 20'
# Time setting, including derivs
print 'SETTING INCLUDE DERIVS'
t0 = time.time()
for i in range( N ):
x[56][56] = 20
dx[56][56] = 0
t1 = time.time()
print t1 - t0, 'x[56][56] = 20, dx[56][56] = 20'
t0 = time.time()
for i in range( N ):
x[56][56] = (20,0)
t1 = time.time()
print t1 - t0, 'x[56][56] = (20,0)'
t0 = time.time()
for i in range( N ):
xDP.X[56][56] = 20
xDP.dX[56][56] = 0
t1 = time.time()
print t1 - t0,'xDP.X[56][56] = 20, xDP.dX[56][56]'
t0 = time.time()
for i in range( N ):
xDP.add(56,56,20)
t1 = time.time()
print t1 - t0,'xDP += 20'
# Time setting, including derivs and contribs
print 'SETTING INCLUDE DERIVS AND CONTRIBS'
t0 = time.time()
for i in range( N ):
x[56][56] = 20
dx[56][56] = 0
xcontrib[56][56].append( [x,56,56,20] )
t1 = time.time()
print t1 - t0, 'x[56][56] = 20'
t0 = time.time()
for i in range( N ):
xDP.X[56][56] = 20
xDP.dX[56][56] = 0
xDP.X_contrib[56][56].append( [x,56,56,20] )
t1 = time.time()
print t1 - t0,'xDP.X[56][56] = 20'
t0 = time.time()
for i in range( N ):
xDP.add(56,56,20)
t1 = time.time()
print t1 - t0,'xDP += 20'
| 20.709677 | 60 | 0.575545 | 496 | 2,568 | 2.977823 | 0.120968 | 0.097495 | 0.074475 | 0.126608 | 0.698714 | 0.661476 | 0.625592 | 0.602573 | 0.587678 | 0.551794 | 0 | 0.14824 | 0.214564 | 2,568 | 123 | 61 | 20.878049 | 0.584036 | 0.060748 | 0 | 0.568421 | 0 | 0 | 0.152535 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.052632 | null | null | 0.210526 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
73e9a8245d7f2b954b01c47bce5f6ddf87248068 | 781 | py | Python | tym.py | tsyogesh40/Finger_recognition-Python- | 4c1597cd246be1248bbfbb6cfc1ce1cbf5c4ecac | [
"MIT"
] | null | null | null | tym.py | tsyogesh40/Finger_recognition-Python- | 4c1597cd246be1248bbfbb6cfc1ce1cbf5c4ecac | [
"MIT"
] | null | null | null | tym.py | tsyogesh40/Finger_recognition-Python- | 4c1597cd246be1248bbfbb6cfc1ce1cbf5c4ecac | [
"MIT"
] | null | null | null | import datetime
t=datetime.datetime.now()
#date format
weekday=t.strftime("%a") # %A for abbr
day=t.strftime("%d")
month=t.strftime("%b") #%B for abbr
month_num=t.strftime("%m")
year=t.strftime("%Y")
date=t.strftime("%Y-%m-%d")
print(date)
#time format
hour_12=t.strftime("%I")
hour_24=t.strftime("%H")
minutes=t.strftime("%H")
seconds=t.strftime("%S")
am_pm=t.strftime("%p")
time_12=t.strftime("%I:%M:%S %p") #12hrs time AM/PM
time_24=t.strftime("%H:%M:%S") #24 Hrs time
print(time_12)
print(time_24)
def sem_calc(month):
if(month>=1 & month<6):
return "odd"
else:
return "even"
def date():
t=datetime.datetime.now()
time_12=t.strftime("%I:%M:%S %p") #12hrs time AM/PM
return time_12
print(sem_calc(int(month_num)))
print(date())
| 17.75 | 55 | 0.641485 | 139 | 781 | 3.510791 | 0.323741 | 0.258197 | 0.067623 | 0.07377 | 0.131148 | 0.131148 | 0.131148 | 0.131148 | 0.131148 | 0.131148 | 0 | 0.035714 | 0.139565 | 781 | 43 | 56 | 18.162791 | 0.690476 | 0.112676 | 0 | 0.137931 | 0 | 0 | 0.094752 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.068966 | false | 0 | 0.034483 | 0 | 0.206897 | 0.172414 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
73f2bc3599ec98d3aba14c518c543be223219c33 | 4,759 | py | Python | cytochrome-b6f-nn-np-model-kinetics.py | vstadnyt/cytochrome | 546aa450fa6dc2758b079aba258e3572dd24d60c | [
"MIT"
] | null | null | null | cytochrome-b6f-nn-np-model-kinetics.py | vstadnyt/cytochrome | 546aa450fa6dc2758b079aba258e3572dd24d60c | [
"MIT"
] | null | null | null | cytochrome-b6f-nn-np-model-kinetics.py | vstadnyt/cytochrome | 546aa450fa6dc2758b079aba258e3572dd24d60c | [
"MIT"
] | 1 | 2021-09-28T17:17:48.000Z | 2021-09-28T17:17:48.000Z | import cytochrome_lib #This is a cytochrome library
import matplotlib.pyplot as plt
import numpy as np
version = "Last update: Aug 8, 2017"
desription = "This code calculates population distribution in the cytochrome b6f protein and plots kinetic profiles for two different models: \n'nn' and 'np' models \n The outputs are: \n Figure 1: \n Figure 2: The ppulation distributions for different oxydations states of the cytochrome proteins. \n Figure 3: the resulting absorbance and circular dichroism kinetics for two different models"
print desription
print version
#the eclusions_lst is a list of hemes that are taken into account during calculations (1 - include; 0 - exclude);
#There are 8 values for 4 hemes and 2 dipoles per heme: [Qx_p1, Qy_p1, Qx_n1, Qy_n1, Qx_p2, Qy_p2, Qx_n2, Qy_n2]
##This is a main part of a code
#This part creates two lists of several instances of a cyt class (see cytochrome library) with different input files
exclusions_lst = []
exclusions_lst.append([0,0,0,0,0,0,0,0])
exclusions_lst.append([0,0,1,1,0,0,0,0])
exclusions_lst.append([1,1,1,1,0,0,0,0])
exclusions_lst.append([1,1,1,1,0,0,1,1])
exclusions_lst.append([1,1,1,1,1,1,1,1])
cyt_b6f_np = []
for excl in exclusions_lst:
cyt_b6f_np.append(cytochrome_lib.cyt('cytochrome_b6f.txt',excl))
for i in range(len(exclusions_lst)):
cyt_b6f_np[i].read_structure_file()
cyt_b6f_np[i].Hamiltonian()
cyt_b6f_np[i].D_and_R_strength()
cyt_b6f_np[i].spectra_plot()
exclusions_lst = []
exclusions_lst.append([0,0,0,0,0,0,0,0])
exclusions_lst.append([0,0,1,1,0,0,0,0])
exclusions_lst.append([0,0,1,1,0,0,1,1])
exclusions_lst.append([1,1,1,1,0,0,1,1])
exclusions_lst.append([1,1,1,1,1,1,1,1])
cyt_b6f_nn = []
for excl in exclusions_lst:
cyt_b6f_nn.append(cytochrome_lib.cyt('cytochrome_b6f.txt',excl))
for i in range(len(exclusions_lst)):
cyt_b6f_nn[i].read_structure_file()
cyt_b6f_nn[i].Hamiltonian()
cyt_b6f_nn[i].D_and_R_strength()
cyt_b6f_nn[i].spectra_plot()
x_range_nm = cyt_b6f_nn[0].x_range_nm
plt.figure(1)
plt.ion()
plt.subplot(2,2,1)
for i in range(len(exclusions_lst)):
plt.plot(x_range_nm,np.sum(cyt_b6f_nn[i].specR,axis = 0),linewidth=2)
#plt.plot(x_range_nm,np.sum(specR_full,axis = 0),linewidth=5)
#plt.legend(['n1p1','n1n2','n1p2','p1n2','p1p2','n2p2']);
plt.title('cytochrome b6f np model')
plt.subplot(2,2,2)
for i in range(len(exclusions_lst)):
plt.plot(x_range_nm,np.sum(cyt_b6f_np[i].specR,axis = 0),linewidth=2)
#plt.plot(x_range_nm,np.sum(specR_full,axis = 0),linewidth=5)
plt.title('cytochrome b6f nn model')
plt.subplot(2,2,3)
for i in range(len(exclusions_lst)):
plt.plot(x_range_nm,np.sum(cyt_b6f_nn[i].specD,axis = 0),linewidth=2)
#plt.plot(x_range_nm,np.sum(specR_full,axis = 0),linewidth=5)
plt.subplot(2,2,4)
for i in range(len(exclusions_lst)):
plt.plot(x_range_nm,np.sum(cyt_b6f_np[i].specD,axis = 0),linewidth=2)
plt.show()
length = 10000
population = cytochrome_lib.kinetics_solve(np.array([1,1,1,1,0,0,0]),length)
plt.figure(2)
plt.ion()
for i in range(5):
plt.plot(range(length),population[i,:])
plt.title("Population distribution of proteins in different oxydation states")
plt.legend(['0e- state (fully oxydized)','1e- state','2e- state','3e- state','4e- state(fully reduced)'])
plt.show()
Absorbance_lst_b6f_nn = []
Circular_Dichroism_lst_b6f_nn = []
for i in range(5):
Absorbance_lst_b6f_nn.append(population[i,:]*np.sum(np.sum(cyt_b6f_nn[i].specD,axis = 0)))
Circular_Dichroism_lst_b6f_nn.append(population[i,:]*np.sum(np.abs(np.sum(cyt_b6f_nn[i].specR,axis = 0))))
Absorbance_b6f_nn = np.asarray(Absorbance_lst_b6f_nn)
Circular_Dichroism_b6f_nn = np.asarray(Circular_Dichroism_lst_b6f_nn)
Absorbance_lst_b6f_np = []
Circular_Dichroism_lst_b6f_np = []
for i in range(5):
Absorbance_lst_b6f_np.append(population[i,:]*np.sum(np.sum(cyt_b6f_np[i].specD,axis = 0)))
Circular_Dichroism_lst_b6f_np.append(population[i,:]*np.sum(np.abs(np.sum(cyt_b6f_np[i].specR,axis = 0))))
Absorbance_b6f_np = np.asarray(Absorbance_lst_b6f_np)
Circular_Dichroism_b6f_np = np.asarray(Circular_Dichroism_lst_b6f_np)
plt.figure(3)
plt.ion()
plt.title('cytochrome b6f nn and np models')
plt.plot(range(length),np.sum(Absorbance_b6f_nn, axis = 0)/np.max(np.sum(Absorbance_b6f_nn, axis = 0)))
plt.plot(range(length),np.sum(Absorbance_b6f_np, axis = 0)/np.max(np.sum(Absorbance_b6f_np, axis = 0)))
plt.plot(range(length),np.sum(Circular_Dichroism_b6f_nn, axis = 0)/np.max(np.sum(Circular_Dichroism_b6f_nn, axis = 0)))
plt.plot(range(length),np.sum(Circular_Dichroism_b6f_np, axis = 0)/np.max(np.sum(Circular_Dichroism_b6f_np, axis = 0)))
plt.legend(['OD_nn','OD_np','CD_nn','CD_np'])
plt.show()
print "\nCalculations are finished. Please, see figures 1-3"
| 36.328244 | 394 | 0.741963 | 891 | 4,759 | 3.753086 | 0.171717 | 0.019139 | 0.017943 | 0.016746 | 0.612739 | 0.571471 | 0.488337 | 0.45305 | 0.394737 | 0.325359 | 0 | 0.053446 | 0.103593 | 4,759 | 130 | 395 | 36.607692 | 0.730427 | 0.132801 | 0 | 0.313953 | 0 | 0.011628 | 0.177357 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.034884 | null | null | 0.034884 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
73fb16f86099e7cc34882ec8e6eb8ce6cb617a74 | 487 | py | Python | processing/1_comset.py | acleclair/ICPC2020_GNN | a8b03de597e8f25c17503c3834c7956ecc8f2247 | [
"MIT"
] | 58 | 2020-04-09T20:29:34.000Z | 2022-03-28T11:38:40.000Z | processing/1_comset.py | acleclair/ICPC2020_GNN | a8b03de597e8f25c17503c3834c7956ecc8f2247 | [
"MIT"
] | 11 | 2020-04-11T14:19:01.000Z | 2021-11-27T07:38:41.000Z | processing/1_comset.py | acleclair/ICPC2020_GNN | a8b03de597e8f25c17503c3834c7956ecc8f2247 | [
"MIT"
] | 14 | 2020-06-15T14:32:03.000Z | 2022-01-23T10:33:15.000Z | import pickle
bad_fid = pickle.load(open('autogenfid.pkl', 'rb'))
comdata = 'com_pp.txt'
good_fid = []
outfile = './output/dataset.coms'
fo = open(outfile, 'w')
for line in open(comdata):
tmp = line.split(',')
fid = int(tmp[0].strip())
if bad_fid[fid]:
continue
com = tmp[1].strip()
com = com.split()
if len(com) > 13 or len(com) < 3:
continue
com = ' '.join(com)
fo.write('{}, <s> {} </s>\n'.format(fid, com))
fo.close()
| 20.291667 | 51 | 0.546201 | 71 | 487 | 3.690141 | 0.577465 | 0.045802 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013699 | 0.250513 | 487 | 23 | 52 | 21.173913 | 0.70411 | 0 | 0 | 0.111111 | 1 | 0 | 0.137577 | 0.043121 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.055556 | 0 | 0.055556 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
73fbbcb7d6e336ad39011f035279ed591c9a4ab4 | 937 | py | Python | src/create_scatterplot.py | djparente/coevol-utils | 966a1f16872d72886b92cc3fa51f803412acc481 | [
"BSD-3-Clause"
] | 1 | 2016-03-13T05:26:40.000Z | 2016-03-13T05:26:40.000Z | src/create_scatterplot.py | djparente/coevol-utils | 966a1f16872d72886b92cc3fa51f803412acc481 | [
"BSD-3-Clause"
] | null | null | null | src/create_scatterplot.py | djparente/coevol-utils | 966a1f16872d72886b92cc3fa51f803412acc481 | [
"BSD-3-Clause"
] | null | null | null | #!/cygdrive/c/Python27/python.exe
# Daniel J. Parente, Ph.D.
# Swint-Kruse Laboratory
# Physician Scientist Training Program
# University of Kansas Medical Center
# This code is adapted from the example available at
# http://pandasplotting.blogspot.com/2012/04/added-kde-to-scatter-matrix-diagonals.html
# Creates a scatterplot matrix (off-diagonals) with a kernal density estimate (KDE)
# of the distribution of (univariate) data on the diagonal
import numpy as np
import matplotlib.pyplot as plt
import pandas
import sys
infile=sys.argv[1]
outfile=sys.argv[2]
maindata = pandas.read_csv(infile, sep="\t")
plt.rcParams['patch.facecolor'] = 'k' # Make the markers black
# Plot
ax = pandas.tools.plotting.scatter_matrix(maindata, alpha=0.1, marker='k.', figsize=(8,8), diagonal='kde', range_padding=0.1)
# Give a small inter-plot spacing
plt.subplots_adjust(wspace=.05, hspace=.05)
#Save the figure
plt.savefig(outfile, dpi=600) | 28.393939 | 125 | 0.760939 | 145 | 937 | 4.889655 | 0.744828 | 0.036671 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.027879 | 0.11953 | 937 | 33 | 126 | 28.393939 | 0.831515 | 0.537887 | 0 | 0 | 0 | 0 | 0.054632 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.363636 | 0 | 0.363636 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 |
73fea2fbc1c54c3ba581a8b82427643b53be014d | 1,444 | py | Python | manu_sawyer/src/tensorflow_model_is_gripping/grasp_example.py | robertocalandra/the-feeling-of-success | 7bb895897e369ae9f5fcaeed61d401e019a9cdf1 | [
"MIT"
] | 10 | 2018-05-31T04:57:25.000Z | 2021-05-28T11:22:29.000Z | manu_sawyer/src/tensorflow_model_is_gripping/grasp_example.py | robertocalandra/the-feeling-of-success | 7bb895897e369ae9f5fcaeed61d401e019a9cdf1 | [
"MIT"
] | null | null | null | manu_sawyer/src/tensorflow_model_is_gripping/grasp_example.py | robertocalandra/the-feeling-of-success | 7bb895897e369ae9f5fcaeed61d401e019a9cdf1 | [
"MIT"
] | 3 | 2018-05-31T05:00:08.000Z | 2019-02-25T06:32:45.000Z | import grasp_net, grasp_params, h5py, aolib.img as ig, os, numpy as np, aolib.util as ut
net_pr = grasp_params.im_fulldata_v5()
net_pr = grasp_params.gel_im_fulldata_v5()
checkpoint_file = '/home/manu/ros_ws/src/manu_research/manu_sawyer/src/tensorflow_model_is_gripping/training/net.tf-6499'
gpu = '/gpu:0'
db_file = '/media/backup_disk/dataset_manu/ver2/2017-06-22/2017-06-22_212702.hdf5'
with h5py.File(db_file, 'r') as db:
pre, mid, _ = grasp_net.milestone_frames(db)
# sc = lambda x : ig.scale(x, (224, 224))
def sc(x):
""" do a center crop (helps with gelsight) """
x = ig.scale(x, (256, 256))
return ut.crop_center(x, 224)
u = ig.uncompress
crop = grasp_net.crop_kinect
inputs = dict(
gel0_pre=sc(u(db['GelSightA_image'].value[pre])),
gel1_pre=sc(u(db['GelSightB_image'].value[pre])),
gel0_post=sc(u(db['GelSightA_image'].value[mid])),
gel1_post=sc(u(db['GelSightB_image'].value[mid])),
im0_pre=sc(crop(u(db['color_image_KinectA'].value[pre]))),
im0_post=sc(crop(u(db['color_image_KinectA'].value[mid]))),
# these are probably unnecessary
depth0_pre=sc(crop(db['depth_image_KinectA'].value[pre].astype('float32'))),
depth0_post=sc(crop(db['depth_image_KinectA'].value[mid].astype('float32'))))
net = grasp_net.NetClf(net_pr, checkpoint_file, gpu)
prob = net.predict(**inputs)
print 'prob = ', prob
| 40.111111 | 121 | 0.668975 | 229 | 1,444 | 3.991266 | 0.414847 | 0.019694 | 0.021882 | 0.035011 | 0.238512 | 0.238512 | 0.133479 | 0.067834 | 0 | 0 | 0 | 0.049875 | 0.166898 | 1,444 | 35 | 122 | 41.257143 | 0.709892 | 0.048476 | 0 | 0 | 0 | 0.08 | 0.25283 | 0.129057 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.04 | null | null | 0.04 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
73fecce467712a52b8aaf68f72a88091d6f9da83 | 418 | py | Python | src/TestDice.py | Yamanama/CodeMonkeyApplication | 4dc24016b96dbed5b8e833d5248dd76d1f3dfc08 | [
"MIT"
] | null | null | null | src/TestDice.py | Yamanama/CodeMonkeyApplication | 4dc24016b96dbed5b8e833d5248dd76d1f3dfc08 | [
"MIT"
] | null | null | null | src/TestDice.py | Yamanama/CodeMonkeyApplication | 4dc24016b96dbed5b8e833d5248dd76d1f3dfc08 | [
"MIT"
] | null | null | null | import unittest
from Dice import Dice
class TestDice(unittest.TestCase):
def setUp(self):
self.sides = 8
self.dice = Dice(self.sides)
def test_roll(self):
for i in range(1000):
self.assertLessEqual(self.dice.roll(), self.sides)
def test_error(self):
self.assertRaises(ValueError, Dice, 0)
if __name__ == '__main__': # pragma no cover
unittest.main()
| 19.904762 | 62 | 0.636364 | 54 | 418 | 4.740741 | 0.555556 | 0.105469 | 0.09375 | 0.125 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.019231 | 0.253589 | 418 | 20 | 63 | 20.9 | 0.801282 | 0.035885 | 0 | 0 | 0 | 0 | 0.01995 | 0 | 0 | 0 | 0 | 0 | 0.153846 | 1 | 0.230769 | false | 0 | 0.153846 | 0 | 0.461538 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
fb40d608ac0b102b80003c2f549912877d9e3d53 | 963 | py | Python | wagtail/snippets/urls.py | brownaa/wagtail | c97bc56c6822eb1b6589d5c33e07f71acfc48845 | [
"BSD-3-Clause"
] | 2 | 2021-03-18T21:41:05.000Z | 2021-03-18T21:41:08.000Z | wagtail/snippets/urls.py | brownaa/wagtail | c97bc56c6822eb1b6589d5c33e07f71acfc48845 | [
"BSD-3-Clause"
] | 13 | 2015-05-08T12:27:10.000Z | 2020-01-23T14:45:57.000Z | wagtail/snippets/urls.py | brownaa/wagtail | c97bc56c6822eb1b6589d5c33e07f71acfc48845 | [
"BSD-3-Clause"
] | 2 | 2020-09-03T20:12:32.000Z | 2021-03-29T08:29:23.000Z | from django.urls import path
from wagtail.snippets.views import chooser, snippets
app_name = 'wagtailsnippets'
urlpatterns = [
path('', snippets.index, name='index'),
path('choose/', chooser.choose, name='choose_generic'),
path('choose/<slug:app_label>/<slug:model_name>/', chooser.choose, name='choose'),
path('choose/<slug:app_label>/<slug:model_name>/<str:pk>/', chooser.chosen, name='chosen'),
path('<slug:app_label>/<slug:model_name>/', snippets.list, name='list'),
path('<slug:app_label>/<slug:model_name>/add/', snippets.create, name='add'),
path('<slug:app_label>/<slug:model_name>/<str:pk>/', snippets.edit, name='edit'),
path('<slug:app_label>/<slug:model_name>/multiple/delete/', snippets.delete, name='delete-multiple'),
path('<slug:app_label>/<slug:model_name>/<str:pk>/delete/', snippets.delete, name='delete'),
path('<slug:app_label>/<slug:model_name>/<str:pk>/usage/', snippets.usage, name='usage'),
]
| 45.857143 | 105 | 0.688474 | 132 | 963 | 4.886364 | 0.219697 | 0.086822 | 0.148837 | 0.19845 | 0.502326 | 0.409302 | 0.409302 | 0.274419 | 0.15814 | 0 | 0 | 0 | 0.094496 | 963 | 20 | 106 | 48.15 | 0.739679 | 0 | 0 | 0 | 0 | 0 | 0.470405 | 0.376947 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.133333 | 0 | 0.133333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
fb427d81000b8506419aa7780e97ffc579670c50 | 813 | py | Python | tools_d2/convert-pretrain-model-to-d2.py | nguyentritai2906/panoptic-deeplab | 6bbe17801488a417ed9586acab285ee6a05d68cb | [
"Apache-2.0"
] | 506 | 2020-06-12T01:07:56.000Z | 2022-03-26T00:56:52.000Z | tools_d2/convert-pretrain-model-to-d2.py | MrMa-T/panoptic-deeplab | cf8e20bbbf1cf540c7593434b965a93c4a889890 | [
"Apache-2.0"
] | 85 | 2020-06-12T04:51:31.000Z | 2022-03-23T16:19:44.000Z | tools_d2/convert-pretrain-model-to-d2.py | MrMa-T/panoptic-deeplab | cf8e20bbbf1cf540c7593434b965a93c4a889890 | [
"Apache-2.0"
] | 102 | 2020-06-12T06:45:44.000Z | 2022-03-22T14:03:04.000Z | #!/usr/bin/env python
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import pickle as pkl
import sys
import torch
"""
Usage:
# download your pretrained model:
wget https://github.com/LikeLy-Journey/SegmenTron/releases/download/v0.1.0/tf-xception65-270e81cf.pth -O x65.pth
# run the conversion
./convert-pretrained-model-to-d2.py x65.pth x65.pkl
# Then, use x65.pkl with the following changes in config:
MODEL:
WEIGHTS: "/path/to/x65.pkl"
PIXEL_MEAN: [128, 128, 128]
PIXEL_STD: [128, 128, 128]
INPUT:
FORMAT: "RGB"
"""
if __name__ == "__main__":
input = sys.argv[1]
obj = torch.load(input, map_location="cpu")
res = {"model": obj, "__author__": "third_party", "matching_heuristics": True}
with open(sys.argv[2], "wb") as f:
pkl.dump(res, f)
| 24.636364 | 114 | 0.681427 | 123 | 813 | 4.365854 | 0.699187 | 0.044693 | 0.03352 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.060831 | 0.170972 | 813 | 32 | 115 | 25.40625 | 0.735905 | 0.109471 | 0 | 0 | 0 | 0 | 0.193333 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 |
fb4386dbb22354c808375368f8d1474f3605a181 | 2,953 | py | Python | test_geo.py | OrrEos/IA-Flood-Warning-Project | af485560050c6e387aabf0bd7500b13de62f810f | [
"MIT"
] | null | null | null | test_geo.py | OrrEos/IA-Flood-Warning-Project | af485560050c6e387aabf0bd7500b13de62f810f | [
"MIT"
] | null | null | null | test_geo.py | OrrEos/IA-Flood-Warning-Project | af485560050c6e387aabf0bd7500b13de62f810f | [
"MIT"
] | 1 | 2022-01-24T09:57:24.000Z | 2022-01-24T09:57:24.000Z | import random
from floodsystem.utils import sorted_by_key # noqa
from floodsystem.geo import stations_by_distance, stations_within_radius, rivers_with_station, stations_by_river,rivers_by_station_number
from floodsystem.stationdata import build_station_list
'''def test_geo():
#Task 1A
#does the function give an output & if it's a list:
out = build_station_list()
assert type(out) == list
#checking that list is a reasonable length
assert len(out) >1700
assert len(out) <2500'''
#Task 1B
def test_stations_by_distance():
stations = build_station_list()
p = (52.2053, 0.1218)#putting in Cambridge value from task
out = stations_by_distance(stations, p)
#check that list is returned
assert type(out) == list
#check that items are tuples
assert type(out[0]) == tuple
#check that first station is Jesus Lock
assert out[0] == ('Cambridge Jesus Lock', 'Cambridge', 0.840237595667494)
#check that furthest station is Penberth
assert out[-1] == ('Penberth', 'Penberth', 467.53431870130544)
#Task 1C
def test_stations_within_radius():
stations = build_station_list()
out = stations_within_radius(stations, (52.2053, 0.1218), 10)
#check that list is returned
assert type(out) == list
#checking first value, which is checking the sorting, too
assert out[0] == 'Bin Brook'
#checking length of list
assert len(out) == 11
#Task 1D
def test_rivers_with_station():
stations = build_station_list()
out = rivers_with_station(stations)
#check that out is a set
assert type(out) == set
#check that each item in list is a string
out = list(out)
assert type(out[0]) == str
#check that out is of a reasonable length - no. of stations might change in the future?
assert len(out) > 900
assert len(out) < 1000
#checking for duplicates
#if set(out) is shorter than list (out), then there are duplicates
assert len(out) == len(set(out))
def test_stations_by_rivers():
stations = build_station_list
out = stations_by_river(stations)
#check that output is a dictionary
assert type(out) == dict
#check number of stations listed for Aire:
aire = out['River Aire']
assert len(aire) ==24
#check that it's a list
assert type(out['River Thames']) == list
#Task1E
def test_rivers_by_station_number():
stations = build_station_list()
N = random.randint(0,9)
out = rivers_by_station_number(stations, N)
#check that output is a list
assert type(out)==list
#check that items are tuples
#assert(type(out[0])) == tuple
#check that list is of length N
assert len(out) == N
#checking that list is sorted by number of stations
ret = sorted_by_key(out, 1, reverse=True)#sorting the list by decreasing distance from p (the 3rd thing in tuple - distance_p)
assert ret == out
| 29.828283 | 137 | 0.679986 | 432 | 2,953 | 4.513889 | 0.266204 | 0.06 | 0.066667 | 0.061538 | 0.230256 | 0.137949 | 0.102051 | 0.102051 | 0.102051 | 0.069744 | 0 | 0.04007 | 0.230952 | 2,953 | 99 | 138 | 29.828283 | 0.818582 | 0.299357 | 0 | 0.166667 | 0 | 0 | 0.042506 | 0 | 0 | 0 | 0 | 0 | 0.428571 | 1 | 0.119048 | false | 0 | 0.095238 | 0 | 0.214286 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
fb4520cbe2999728bc66894639cfa8a36d53fb16 | 1,809 | py | Python | pyActionRec/action_flow.py | Xiatian-Zhu/anet2016_cuhk | a0df08cbbe65013e9a259d5412c33a99c2c84127 | [
"BSD-2-Clause"
] | 253 | 2016-07-01T22:57:55.000Z | 2022-03-01T10:59:31.000Z | pyActionRec/action_flow.py | Xiatian-Zhu/anet2016_cuhk | a0df08cbbe65013e9a259d5412c33a99c2c84127 | [
"BSD-2-Clause"
] | 39 | 2016-08-31T08:42:24.000Z | 2021-12-11T06:56:47.000Z | pyActionRec/action_flow.py | Xiatian-Zhu/anet2016_cuhk | a0df08cbbe65013e9a259d5412c33a99c2c84127 | [
"BSD-2-Clause"
] | 101 | 2016-07-01T22:57:57.000Z | 2022-03-08T07:26:53.000Z | from config import ANET_CFG
import sys
sys.path.append(ANET_CFG.DENSE_FLOW_ROOT+'/build')
from libpydenseflow import TVL1FlowExtractor
import action_caffe
import numpy as np
class FlowExtractor(object):
def __init__(self, dev_id, bound=20):
TVL1FlowExtractor.set_device(dev_id)
self._et = TVL1FlowExtractor(bound)
def extract_flow(self, frame_list, new_size=None):
"""
This function extracts the optical flow and interleave x and y channels
:param frame_list:
:return:
"""
frame_size = frame_list[0].shape[:2]
rst = self._et.extract_flow([x.tostring() for x in frame_list], frame_size[1], frame_size[0])
n_out = len(rst)
if new_size is None:
ret = np.zeros((n_out*2, frame_size[0], frame_size[1]))
for i in xrange(n_out):
ret[2*i, :] = np.fromstring(rst[i][0], dtype='uint8').reshape(frame_size)
ret[2*i+1, :] = np.fromstring(rst[i][1], dtype='uint8').reshape(frame_size)
else:
import cv2
ret = np.zeros((n_out*2, new_size[1], new_size[0]))
for i in xrange(n_out):
ret[2*i, :] = cv2.resize(np.fromstring(rst[i][0], dtype='uint8').reshape(frame_size), new_size)
ret[2*i+1, :] = cv2.resize(np.fromstring(rst[i][1], dtype='uint8').reshape(frame_size), new_size)
return ret
if __name__ == "__main__":
import cv2
im1 = cv2.imread('../data/img_1.jpg')
im2 = cv2.imread('../data/img_2.jpg')
f = FlowExtractor(0)
flow_frames = f.extract_flow([im1, im2])
from pylab import *
plt.figure()
plt.imshow(flow_frames[0])
plt.figure()
plt.imshow(flow_frames[1])
plt.figure()
plt.imshow(im1)
plt.show()
print flow_frames
| 30.15 | 113 | 0.611388 | 264 | 1,809 | 3.981061 | 0.340909 | 0.077069 | 0.01903 | 0.060894 | 0.327307 | 0.31589 | 0.216936 | 0.203616 | 0.203616 | 0.163654 | 0 | 0.033088 | 0.248203 | 1,809 | 59 | 114 | 30.661017 | 0.739706 | 0 | 0 | 0.170732 | 0 | 0 | 0.040719 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.195122 | null | null | 0.02439 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
fb49836ffdfff81dfa3d877748d3c2b47f98f7fb | 3,446 | py | Python | googlecode-issues-exporter/generate_user_map.py | ballschin52/support-tools | 85be996e89d292c7f20031dde88198acc63d5e6c | [
"Apache-2.0"
] | 41 | 2016-05-03T02:27:07.000Z | 2021-10-14T13:54:16.000Z | googlecode-issues-exporter/generate_user_map.py | ballschin52/support-tools | 85be996e89d292c7f20031dde88198acc63d5e6c | [
"Apache-2.0"
] | 7 | 2016-05-05T13:53:37.000Z | 2021-06-27T20:25:13.000Z | googlecode-issues-exporter/generate_user_map.py | ballschin52/support-tools | 85be996e89d292c7f20031dde88198acc63d5e6c | [
"Apache-2.0"
] | 30 | 2016-05-05T13:26:21.000Z | 2021-10-13T09:39:21.000Z | # Copyright 2014 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Tool for generating a user mapping from Google Code user to BitBucket user.
"""
import argparse
import json
import sys
import issues
class OptionalMap(dict):
"""Dictionary that returns the key for missing items. """
def __missing__(self, key):
"""Implements the dict interface. """
return key
def addIfNotPresent(users, user):
"""Adds a user if it is not already set."""
if user not in users:
users[user] = user
def _CreateUsersDict(issue_data, project_name):
"""Extract users from list of issues into a dict.
Args:
issue_data: Issue data
project_name: The name of the project being exported.
Returns:
Dict of users associated with a list of issues
"""
users = {}
for issue in issue_data:
googlecode_issue = issues.GoogleCodeIssue(
issue, project_name, OptionalMap())
reporting_user = googlecode_issue.GetAuthor()
addIfNotPresent(users, reporting_user)
assignee_user = googlecode_issue.GetOwner()
addIfNotPresent(users, assignee_user)
googlecode_comments = googlecode_issue.GetComments()
for comment in googlecode_comments:
googlecode_comment = issues.GoogleCodeComment(googlecode_issue, comment)
commenting_user = googlecode_comment.GetAuthor()
addIfNotPresent(users, commenting_user)
return {
"users": users
}
def Generate(issue_file_path, project_name):
"""Generates a user map for the specified issues. """
issue_data = None
user_file = open(issue_file_path)
user_data = json.load(user_file)
user_projects = user_data["projects"]
for project in user_projects:
if project_name in project["name"]:
issue_data = project["issues"]["items"]
break
if issue_data is None:
raise issues.ProjectNotFoundError(
"Project %s not found" % project_name)
users = _CreateUsersDict(issue_data, project_name)
with open("users.json", "w") as users_file:
user_json = json.dumps(users, sort_keys=True, indent=4,
separators=(",", ": "), ensure_ascii=False)
users_file.write(unicode(user_json))
print "\nCreated file users.json.\n"
def main(args):
"""The main function.
Args:
args: The command line arguments.
Raises:
issues.ProjectNotFoundError: The user passed in an invalid project name.
"""
parser = argparse.ArgumentParser()
parser.add_argument("--issue_file_path", required=True,
help="The path to the file containing the issues from"
"Google Code.")
parser.add_argument("--project_name", required=True,
help="The name of the Google Code project you wish to"
"export")
parsed_args, _ = parser.parse_known_args(args)
Generate(parsed_args.issue_file_path, parsed_args.project_name)
if __name__ == "__main__":
main(sys.argv)
| 28.716667 | 78 | 0.702844 | 450 | 3,446 | 5.22 | 0.382222 | 0.051511 | 0.027246 | 0.025543 | 0.0298 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003297 | 0.207777 | 3,446 | 119 | 79 | 28.957983 | 0.857143 | 0.165119 | 0 | 0 | 0 | 0 | 0.108705 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.070175 | null | null | 0.017544 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
fb4998788840ae0b088496c0b1aec6536f521b03 | 952 | py | Python | apps/auth/views/wxlogin.py | rainydaygit/testtcloudserver | 8037603efe4502726a4d794fb1fc0a3f3cc80137 | [
"MIT"
] | 349 | 2020-08-04T10:21:01.000Z | 2022-03-23T08:31:29.000Z | apps/auth/views/wxlogin.py | rainydaygit/testtcloudserver | 8037603efe4502726a4d794fb1fc0a3f3cc80137 | [
"MIT"
] | 2 | 2021-01-07T06:17:05.000Z | 2021-04-01T06:01:30.000Z | apps/auth/views/wxlogin.py | rainydaygit/testtcloudserver | 8037603efe4502726a4d794fb1fc0a3f3cc80137 | [
"MIT"
] | 70 | 2020-08-24T06:46:14.000Z | 2022-03-25T13:23:27.000Z | from flask import Blueprint
from apps.auth.business.wxlogin import WxLoginBusiness
from apps.auth.extentions import validation, parse_json_form
from library.api.render import json_detail_render
wxlogin = Blueprint("wxlogin", __name__)
@wxlogin.route('/', methods=['POST'])
@validation('POST:wx_user_code')
def wxuser_index_handler():
"""
@api {post} /v1/wxlogin/ 登录 微信
@apiName WxLogin
@apiGroup 用户
@apiDescription 登录微信
@apiParam {string} user_code 用户编码
@apiParamExample {json} Request-Example:
{
"user_code":"j2qL3QjNXXwa_4A0WJFDNJyPEx88HTHytARgRbr176g"
}
@apiSuccessExample {json} Success-Response:
HTTP/1.1 200 OK
{
"code": 0,
"data": {
"token": "asdasdasd"
},
"message": ""
}
"""
user_code = parse_json_form('wx_user_code')
ret, data, msg = WxLoginBusiness.get_user(user_code[0])
return json_detail_render(ret, data, msg)
| 25.052632 | 65 | 0.668067 | 109 | 952 | 5.614679 | 0.559633 | 0.078431 | 0.039216 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.022727 | 0.214286 | 952 | 37 | 66 | 25.72973 | 0.795455 | 0.387605 | 0 | 0 | 0 | 0 | 0.082164 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.363636 | 0 | 0.545455 | 0.181818 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 |
fb4fa127bfbce18cd4fdeeaf2d1ebf19b58badc3 | 13,826 | py | Python | run.py | openmg/mg-phm | e3bb05d6352f90ee40fdc4415ad8e1ed5857196f | [
"Apache-2.0"
] | null | null | null | run.py | openmg/mg-phm | e3bb05d6352f90ee40fdc4415ad8e1ed5857196f | [
"Apache-2.0"
] | null | null | null | run.py | openmg/mg-phm | e3bb05d6352f90ee40fdc4415ad8e1ed5857196f | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
import numpy as np
import cv2
from scipy.misc import imsave
import matplotlib.pyplot as plt
import analysis
import imageprocess
import datainterface
import imagemosaicking
town_names = ['昂素镇', '敖勒召其镇', '布拉格苏木', '城川镇', '二道川乡', \
'毛盖图苏木', '三段地镇', '上海庙镇', '珠和苏木']
for index in range(len(town_names)):
town_names[index] = unicode(town_names[index], 'utf8')
geojson_path = 'testdata/'
#12月
winter12933 = 'LC81290332016343LGN00_MTL'
winter12833 = 'LC81280332016336LGN00_MTL'
winter12834 = 'LC81280342016336LGN00_MTL'
winter12 = (winter12933, winter12833, winter12834)
#01月
winter12933 = 'LC81290332017025LGN00_MTL'
winter12833 = 'LC81280332017002LGN00_MTL'
winter12834 = 'LC81280342017002LGN00_MTL'
winter01 = (winter12933, winter12833, winter12834)
#02月
winter12933 = 'LC81290332017089LGN00_MTL'#3月，2月数据不可用
winter12833 = 'LC81280332017034LGN00_MTL'
winter12834 = 'LC81280342017034LGN00_MTL'
winter02 = (winter12933, winter12833, winter12834)
#06
summer12933 = 'LC81290332016151LGN00_MTL'
summer12833 = 'LC81280332016176LGN00_MTL'
summer12834 = 'LC81280342016176LGN00_MTL'
summer06 = (summer12933, summer12833, summer12834)
#07
summer12933 = 'LC81290332016183LGN00_MTL'
summer12833 = 'LC81280332016208LGN00_MTL'
summer12834 = 'LC81280342016208LGN00_MTL'
summer07 = (summer12933, summer12833, summer12834)
#08
summer12933 = 'LC81290332016247LGN00_MTL'
summer12833 = 'LC81280332016240LGN00_MTL'
summer12834 = 'LC81280342016240LGN00_MTL'
summer08 = (summer12933, summer12833, summer12834)
cases = (summer08,)
case_name = ('Aug',)
#cases = (winter12, winter01, winter02, summer06, summer07, summer08)
#case_name = ('Nov','Jan','Feb','Jun','Jul','Aug',)
#cases = (wintercode,)
#case_name = ('winter')
for ii in range(len(cases)):
case = cases[ii]
# image load
imgcode1 = case[0]
imgcode2 = case[1]
imgcode3 = case[2]
path1 = 'testdata/1-12933/'
path2 = 'testdata/2-12833/'
path3 = 'testdata/3-12834/'
corner1 = datainterface.get_corner(imgcode1, path1)
corner2 = datainterface.get_corner(imgcode2, path2)
corner3 = datainterface.get_corner(imgcode3, path3)
img1 = datainterface.get_band(imgcode1, 4, path1)
img2 = datainterface.get_band(imgcode2, 4, path2)
img3 = datainterface.get_band(imgcode3, 4, path3)
bqa1 = datainterface.get_bqa(imgcode1, path1)
bqa2 = datainterface.get_bqa(imgcode2, path2)
bqa3 = datainterface.get_bqa(imgcode3, path3)
file_date1 = datainterface.get_date(imgcode1, path1)
file_date2 = datainterface.get_date(imgcode2, path2)
file_date3 = datainterface.get_date(imgcode3, path3)
# image analysis
ndvi1, vfc1 = analysis.get_plant(imgcode1, path1)
ndvi2, vfc2 = analysis.get_plant(imgcode2, path2)
ndvi3, vfc3 = analysis.get_plant(imgcode3, path3)
print 'complete ndvi calculation...'
Ts1 = analysis.get_temperature(imgcode1, path1)
Ts2 = analysis.get_temperature(imgcode2, path2)
Ts3 = analysis.get_temperature(imgcode3, path3)
print 'complete Ts calculation...'
tvdi1, cover1 = analysis.get_drought(ndvi1, Ts1, bqa1)
tvdi2, cover2 = analysis.get_drought(ndvi2, Ts2, bqa2)
tvdi3, cover3 = analysis.get_drought(ndvi3, Ts3, bqa3)
print 'complete tvdi calculation...'
ndvi1_d = cv2.resize(ndvi1,None,fx=0.1,fy=0.1)
ndvi2_d = cv2.resize(ndvi2,None,fx=0.1,fy=0.1)
ndvi3_d = cv2.resize(ndvi3,None,fx=0.1,fy=0.1)
vfc1_d = cv2.resize(vfc1,None,fx=0.1,fy=0.1)
vfc2_d = cv2.resize(vfc2,None,fx=0.1,fy=0.1)
vfc3_d = cv2.resize(vfc3,None,fx=0.1,fy=0.1)
Ts1_d = cv2.resize(Ts1,None,fx=0.1,fy=0.1)
Ts2_d = cv2.resize(Ts2,None,fx=0.1,fy=0.1)
Ts3_d = cv2.resize(Ts3,None,fx=0.1,fy=0.1)
tvdi1_d = cv2.resize(tvdi1,None,fx=0.1,fy=0.1)
tvdi2_d = cv2.resize(tvdi2,None,fx=0.1,fy=0.1)
tvdi3_d = cv2.resize(tvdi3,None,fx=0.1,fy=0.1)
print 'complete image analyzing...'
save_filename = 'output/' + case_name[ii] + '_' + 'ndvi1' + '.png'
imsave(save_filename, ndvi1)
save_filename = 'output/' + case_name[ii] + '_' + 'vfc1' + '.png'
imsave(save_filename, vfc1)
save_filename = 'output/' + case_name[ii] + '_' + 'ndvi2' + '.png'
imsave(save_filename, ndvi2)
save_filename = 'output/' + case_name[ii] + '_' + 'vfc2' + '.png'
imsave(save_filename, vfc2)
save_filename = 'output/' + case_name[ii] + '_' + 'ndvi3' + '.png'
imsave(save_filename, ndvi3)
save_filename = 'output/' + case_name[ii] + '_' + 'vfc3' + '.png'
imsave(save_filename, vfc3)
save_filename = 'output/' + case_name[ii] + '_' + 'Ts1' + '.png'
imsave(save_filename, Ts1)
save_filename = 'output/' + case_name[ii] + '_' + 'Ts2' + '.png'
imsave(save_filename, Ts2)
save_filename = 'output/' + case_name[ii] + '_' + 'Ts3' + '.png'
imsave(save_filename, Ts3)
save_filename = 'output/' + case_name[ii] + '_' + 'tvdi1' + '.png'
imsave(save_filename, tvdi1)
save_filename = 'output/' + case_name[ii] + '_' + 'tvdi2' + '.png'
imsave(save_filename, tvdi2)
save_filename = 'output/' + case_name[ii] + '_' + 'tvdi3' + '.png'
imsave(save_filename, tvdi3)
save_filename = 'output/d' + case_name[ii] + '_' + 'ndvi1_d' + '.png'
imsave(save_filename, ndvi1_d)
save_filename = 'output/d' + case_name[ii] + '_' + 'vfc1_d' + '.png'
imsave(save_filename, vfc1_d)
save_filename = 'output/d' + case_name[ii] + '_' + 'ndvi2_d' + '.png'
imsave(save_filename, ndvi2_d)
save_filename = 'output/d' + case_name[ii] + '_' + 'vfc2_d' + '.png'
imsave(save_filename, vfc2_d)
save_filename = 'output/d' + case_name[ii] + '_' + 'ndvi3_d' + '.png'
imsave(save_filename, ndvi3_d)
save_filename = 'output/d' + case_name[ii] + '_' + 'vfc3_d' + '.png'
imsave(save_filename, vfc3_d)
save_filename = 'output/d' + case_name[ii] + '_' + 'Ts1_d' + '.png'
imsave(save_filename, Ts1_d)
save_filename = 'output/d' + case_name[ii] + '_' + 'Ts2_d' + '.png'
imsave(save_filename, Ts2_d)
save_filename = 'output/d' + case_name[ii] + '_' + 'Ts3_d' + '.png'
imsave(save_filename, Ts3_d)
save_filename = 'output/d' + case_name[ii] + '_' + 'tvdi1_d' + '.png'
imsave(save_filename, tvdi1_d)
save_filename = 'output/d' + case_name[ii] + '_' + 'tvdi2_d' + '.png'
imsave(save_filename, tvdi2_d)
save_filename = 'output/d' + case_name[ii] + '_' + 'tvdi3_d' + '.png'
imsave(save_filename, tvdi3_d)
# image mosaicking
imgall_origin, corner_origin = imagemosaicking.cut_img_easy(img1, img2, img3, corner1, corner2, corner3)
imgall_ndvi, corner_ndvi = imagemosaicking.cut_img_easy(ndvi1, ndvi2, ndvi3, corner1, corner2, corner3)
imgall_vfc, corner_vfc = imagemosaicking.cut_img_easy(vfc1, vfc2, vfc3, corner1, corner2, corner3)
imgall_Ts, corner_Ts = imagemosaicking.cut_img_easy(Ts1, Ts2, Ts3, corner1, corner2, corner3)
imgall_tvdi, corner_tvdi = imagemosaicking.cut_img_easy(tvdi1, tvdi2, tvdi3, corner1, corner2, corner3)
imgall_tvdi_cover, corner_cover = imagemosaicking.cut_img_easy(cover1, cover2, cover3, corner1, corner2, corner3)
save_filename = 'output/' + case_name[ii] + '_' + 'imgall_origin' + '.png'
imsave(save_filename, imgall_origin)
save_filename = 'output/' + case_name[ii] + '_' + 'imgall_ndvi' + '.png'
imsave(save_filename, imgall_ndvi)
save_filename = 'output/' + case_name[ii] + '_' + 'imgall_vfc' + '.png'
imsave(save_filename, imgall_vfc)
save_filename = 'output/' + case_name[ii] + '_' + 'imgall_Ts' + '.png'
imsave(save_filename, imgall_Ts)
save_filename = 'output/' + case_name[ii] + '_' + 'imgall_tvdi' + '.png'
imsave(save_filename, imgall_tvdi)
imgall_origin_d = cv2.resize(imgall_origin, None, fx=0.2, fy=0.2)
imgall_ndvi_d = cv2.resize(imgall_ndvi, None, fx=0.2, fy=0.2)
imgall_vfc_d = cv2.resize(imgall_vfc, None, fx=0.2, fy=0.2)
imgall_Ts_d = cv2.resize(imgall_Ts, None, fx=0.2, fy=0.2)
imgall_tvdi_d = cv2.resize(imgall_tvdi, None, fx=0.2, fy=0.2)
imgall_tvdi_cover_d = cv2.resize(imgall_tvdi_cover, None, fx=0.2, fy=0.2)
save_filename = 'output/d' + case_name[ii] + '_' + 'imgall_origin_d' + '.png'
imsave(save_filename, imgall_origin_d)
save_filename = 'output/d' + case_name[ii] + '_' + 'imgall_ndvi_d' + '.png'
imsave(save_filename, imgall_ndvi_d)
save_filename = 'output/d' + case_name[ii] + '_' + 'imgall_vfc_d' + '.png'
imsave(save_filename, imgall_vfc_d)
save_filename = 'output/d' + case_name[ii] + '_' + 'imgall_Ts_d' + '.png'
imsave(save_filename, imgall_Ts_d)
save_filename = 'output/d' + case_name[ii] + '_' + 'imgall_tvdi_d' + '.png'
imsave(save_filename, imgall_tvdi_d)
print 'complete image mosaicking...'
# image filtering
filter_box = 20
imgall_origin_filtered = imageprocess.mean_filter(imgall_origin_d, filter_box)
imgall_ndvi_filtered = imageprocess.mean_filter(imgall_ndvi_d, filter_box)
imgall_vfc_filtered = imageprocess.mean_filter(imgall_vfc_d, filter_box)
imgall_Ts_filtered = imageprocess.mean_filter(imgall_Ts_d, filter_box)
imgall_tvdi_filtered = imageprocess.mean_filter(imgall_tvdi_d, filter_box)
print 'complete image filtering...'
"""
save_filename = 'output/' + case_name[ii] + '_' + 'imgall_origin_filtered' + '.png'
imsave(save_filename, imgall_origin_filtered)
save_filename = 'output/' + case_name[ii] + '_' + 'imgall_ndvi_filtered' + '.png'
imsave(save_filename, imgall_ndvi_filtered)
save_filename = 'output/' + case_name[ii] + '_' + 'imgall_vfc_filtered' + '.png'
imsave(save_filename, imgall_vfc_filtered)
save_filename = 'output/' + case_name[ii] + '_' + 'imgall_Ts_filtered' + '.png'
imsave(save_filename, imgall_Ts_filtered)
save_filename = 'output/' + case_name[ii] + '_' + 'imgall_tvdi_filtered' + '.png'
imsave(save_filename, imgall_tvdi_filtered)
"""
filter_box = 5
imgall_origin = imageprocess.mean_filter(imgall_origin_d, filter_box)
imgall_ndvi = imageprocess.mean_filter(imgall_ndvi_d, filter_box)
imgall_vfc = imageprocess.mean_filter(imgall_vfc_d, filter_box)
imgall_Ts = imageprocess.mean_filter(imgall_Ts_d, filter_box)
imgall_tvdi = imageprocess.mean_filter(imgall_tvdi_d, filter_box)
print 'complete image filtering...'
# density divide
vfc_3d = analysis.vfc_divide(imgall_vfc, imgall_ndvi)
tvdi_3d = analysis.tvdi_divide(imgall_tvdi, imgall_ndvi, imgall_tvdi_cover_d)
print 'complete density divide...'
save_filename = 'output/' + case_name[ii] + '_' + 'vfc_3d' + '.png'
imsave(save_filename, vfc_3d)
save_filename = 'output/' + case_name[ii] + '_' + 'tvdi_3d' + '.png'
imsave(save_filename, tvdi_3d)
"""
#pn_poly
county_cover = np.zeros_like(imgall_origin)
for town_num in range(len(town_names)):
print town_num + 1
geo_filename = geojson_path + town_names[town_num] + '.geojson'
geodata = datainterface.geojson_read(geo_filename)
town_cover = imageprocess.pn_poly(imgall_origin, corner_origin, geodata)
county_cover += town_cover
town_origin = town_cover * imgall_origin
town_vfc = town_cover * imgall_vfc
town_Ts = town_cover * imgall_Ts
town_tvdi = town_cover * imgall_tvdi
town_vfc_4d = np.zeros((vfc_3d.shape[0], vfc_3d.shape[1], 4))
town_tvdi_4d = np.zeros((tvdi_3d.shape[0], tvdi_3d.shape[1], 4))
for i in range(3):
town_vfc_4d[:, :, i] = vfc_3d[:, :, i] / 255.0
town_tvdi_4d[:, :, i] = tvdi_3d[:, :, i] / 255.0
town_vfc_4d[:,:,3] = town_cover
town_tvdi_4d[:,:,3] = town_cover
var_names = ('town_origin', 'town_vfc', 'town_Ts', 'town_tvdi',\
'town_vfc_4d', 'town_tvdi_4d')
for var_name in var_names:
save_filename = 'output/' + case_name[ii] + town_names[town_num] + var_name + '_' + '.png'
print 'saving images of '+ town_names[town_num] + var_name + '...'
if (var_name != 'town_vfc_4d') and (var_name != 'town_tvdi_4d'):
imsave(save_filename, eval(var_name) * town_cover)
else:
# img_temp = np.zeros((town_cover.shape[0], town_cover.shape[1],4))
# img_temp[:,:,0:3] = eval(var_name)
# img_temp[:,:,3] = town_cover
# imsave(save_filename, img_temp)
imsave(save_filename, eval(var_name))
print 'saving images of county...'
county_origin = county_cover * imgall_origin
county_vfc = county_cover * imgall_vfc
county_Ts = county_cover * imgall_Ts
county_tvdi = county_cover * imgall_tvdi
county_vfc_4d = np.zeros((vfc_3d.shape[0], vfc_3d.shape[1], 4))
county_tvdi_4d = np.zeros((tvdi_3d.shape[0], tvdi_3d.shape[1], 4))
for i in range(3):
county_vfc_4d[:, :, i] = vfc_3d[:, :, i] / 255.0
county_tvdi_4d[:, :, i] = tvdi_3d[:, :, i] / 255.0
county_vfc_4d[:,:,3] = county_cover
county_tvdi_4d[:,:,3] = county_cover
# save county
var_names = ('county_origin', 'county_vfc', 'county_Ts', 'county_tvdi',\
'county_vfc_4d', 'county_tvdi_4d')
for var_name in var_names:
print var_name
save_filename = 'output/' + case_name[ii] + var_name + '_' + '.png'
print 'saving images of ' + var_name +'...'
if (var_name != 'county_vfc_4d') and (var_name != 'county_tvdi_4d'):
imsave(save_filename, eval(var_name) * county_cover)
else:
imsave(save_filename, eval(var_name))
# img_temp = np.zeros((county_cover.shape[0], county_cover.shape[1],4))
# img_temp[:,:,0:3] = eval(var_name)
# img_temp[:,:,3] = county_cover
# imsave(save_filename, img_temp)
"""
| 41.39521 | 117 | 0.667872 | 1,845 | 13,826 | 4.692141 | 0.107859 | 0.124755 | 0.097724 | 0.099457 | 0.497054 | 0.387894 | 0.259443 | 0.231373 | 0.113665 | 0.091949 | 0 | 0.080161 | 0.188847 | 13,826 | 333 | 118 | 41.51952 | 0.691752 | 0.020324 | 0 | 0.010753 | 0 | 0 | 0.151208 | 0.046069 | 0.193548 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.043011 | null | null | 0.043011 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
fb515bfaa92002625ae59283942eea3a360391f0 | 467 | py | Python | lib/mysocket.py | vanphuong12a2/pposter | fac6e289985909de059150ca860677dba9ade6c9 | [
"MIT"
] | null | null | null | lib/mysocket.py | vanphuong12a2/pposter | fac6e289985909de059150ca860677dba9ade6c9 | [
"MIT"
] | null | null | null | lib/mysocket.py | vanphuong12a2/pposter | fac6e289985909de059150ca860677dba9ade6c9 | [
"MIT"
] | null | null | null | from flask_socketio import SocketIO
NOTI = 'notification'
class MySocket():
def __init__(self, app, async_mode):
self.socketio = SocketIO(app, async_mode=async_mode)
def get_socketio(self):
return self.socketio
def noti_emit(self, msg, room=None):
if room:
self.socketio.emit(NOTI, {'data': msg}, namespace='/noti', room=room)
else:
self.socketio.emit(NOTI, {'data': msg}, namespace='/noti')
| 23.35 | 81 | 0.62955 | 58 | 467 | 4.896552 | 0.413793 | 0.169014 | 0.084507 | 0.140845 | 0.28169 | 0.28169 | 0.28169 | 0.28169 | 0 | 0 | 0 | 0 | 0.239829 | 467 | 19 | 82 | 24.578947 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0.06424 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.083333 | 0.083333 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
fb593493c97b14b708bc0b8b5a7f5e7166948d28 | 10,489 | py | Python | Kelp/kelp.py | trondkr/particleDistributions | 1f5be088150db92c985c00210951ab62521bf694 | [
"MIT"
] | null | null | null | Kelp/kelp.py | trondkr/particleDistributions | 1f5be088150db92c985c00210951ab62521bf694 | [
"MIT"
] | 1 | 2019-07-11T15:02:32.000Z | 2019-07-11T16:57:03.000Z | Kelp/kelp.py | trondkr/particleDistributions | 1f5be088150db92c985c00210951ab62521bf694 | [
"MIT"
] | 1 | 2019-12-23T06:49:29.000Z | 2019-12-23T06:49:29.000Z | #!/usr/bin/env python
from datetime import datetime, timedelta
import numpy as np
from opendrift.readers import reader_basemap_landmask
from opendrift.readers import reader_ROMS_native
from kelp.kelpClass import PelagicPlanktonDrift
from opendrift.readers import reader_netCDF_CF_generic
import logging
import gdal
import os
from netCDF4 import Dataset, datetime, date2num,num2date
from numpy.random import RandomState
import random
import glob
import matplotlib.pyplot as plt
try:
import ogr
import osr
except Exception as e:
print(e)
raise ValueError('OGR library is needed to read shapefiles.')
def setupSeed(hoursBetweenTimestepInROMSFiles,startTime,endTime,startReleaseTime,endReleaseTime,releaseParticles):
##################################################
# Create seed variation as function of day
##################################################
# Make datetime array from start to end at 3 hour interval
#interval = timedelta(hours=hoursBetweenTimestepInROMSFiles)
difference=endTime-startTime
hoursOfSimulation=divmod(difference.total_seconds(), 3600)
difference=endReleaseTime-startReleaseTime
hoursOfRelease=divmod(difference.total_seconds(), 3600)
#startSimulationJD=startTime.timetuple().tm_yday
#endSimulationJD=endTime.timetuple().tm_yday
timeStepsSimulation=int(int(hoursOfSimulation[0])/hoursBetweenTimestepInROMSFiles)
#startReleaseJD=startReleaseTime.timetuple().tm_yday
#endReleaseJD=endReleaseTime.timetuple().tm_yday
#timeStepsRelease=int(int(hoursOfRelease[0])/hoursBetweenTimestepInROMSFiles)
print("=>SIMULATION: Drift simulation will run for %s simulation hours" %(timeStepsSimulation))
print("=>Release: Simulated Release will run for %s simulation hours\n initiated on %s and ending on %s"%(timeStepsSimulation,startReleaseTime,endReleaseTime))
interval = timedelta(hours=6)
hoursPerRelease=divmod(interval.total_seconds(), 3600) #hours per Release event
timeStepsRelease=int(int(hoursOfRelease[0])/int(hoursPerRelease[0])) #number of Release timesteps
ReleaseTimes = [startReleaseTime + interval*n for n in range(timeStepsRelease)] #times of Release
num=np.random.normal(releaseParticles,int(releaseParticles/2)-1, size=len(ReleaseTimes)).astype(int)
num=np.sort(num) #sort particles in increasing order
#num=np.concatenate((num[len(num)%2::2],num[::-2]),axis=0) #release the highest number of particles at the midpoint of the Release period
print("Release: Simulated Release will release %s kelp particles"%(np.sum(num)))
return num, ReleaseTimes
def kelpProperties(num):
kelpProps=np.zeros((len(num), 4))
mylist=[0,1,2]
weights=[0.5069324, 0.4485244,0.10138648]
volumes=[0.000140226, 0.000753867, 2.80452E-05]
areas=[0.1149934, 0.05, 0.02299868]
densities=[2000,1100,300]
for i in range(len(num)):
ind=random.choice(mylist)
kelpProps[i,0]=weights[ind]
kelpProps[i,1]=volumes[ind]
kelpProps[i,2]=areas[ind]
# Calculate the density of the kelp
density=weights[ind]/volumes[ind]
kelpProps[i,3]=densities[ind]
return kelpProps
def createOutputFilenames(startTime,endTime,polygonIndex,shapefile,verticalBehavior):
startDate=''
if startTime.day<10:
startDate+='0%s'%(startTime.day)
else:
startDate+='%s'%(startTime.day)
if startTime.month<10:
startDate+='0%s'%(startTime.month)
else:
startDate+='%s'%(startTime.month)
startDate+='%s'%(startTime.year)
endDate=''
if endTime.day<10:
endDate+='0%s'%(endTime.day)
else:
endDate+='%s'%(endTime.day)
if endTime.month<10:
endDate+='0%s'%(endTime.month)
else:
endDate+='%s'%(endTime.month)
endDate+='%s'%(endTime.year)
# Special file naming for KINO. Each layer has name 'species.shp' and we want teh species name only.
head,tail=os.path.split(shapefile)
specie="Kelp"
if verticalBehavior:
outputFilename='results/%s_polygon_%s_kelp_opendrift_%s_to_%s_vertical.nc'%(specie,polygonIndex,startDate,endDate)
animationFilename='figures/%s_polygon_%s_kelp_animation_%s_to_%s_vertical.mp4'%(specie,polygonIndex,startDate,endDate)
plotFilename='figures/%s_polygon_%s_kelp_plot_%s_to_%s_vertical.png'%(specie,polygonIndex,startDate,endDate)
else:
outputFilename='results/%s_polygon_%s_kelp_opendrift_%s_to_%s_novertical.nc'%(specie,polygonIndex,startDate,endDate)
animationFilename='figures/%s_polygon_%s_kelp_animation_%s_to_%s_novertical.mp4'%(specie,polygonIndex,startDate,endDate)
plotFilename='figures/%s_polygon_%s_kelp_plot_%s_to_%s_novertical.png'%(specie,polygonIndex,startDate,endDate)
if not os.path.exists('figures'):
os.makedirs('figures')
if not os.path.exists('results'):
os.makedirs('results')
return outputFilename, animationFilename, plotFilename
def createAndRunSimulation(lowDepth,highDepth,endTime,layer,polygonIndex,shapefile,outputFilename,animationFilename,plotFilename,releaseParticles,kinoDirectory,pattern_kino,svimDirectory,pattern_svim,verticalBehavior):
# Setup a new simulation
o = PelagicPlanktonDrift(loglevel=0) # Set loglevel to 0 for debug information
#######################
# Preparing readers
#######################
reader_basemap = reader_basemap_landmask.Reader(
llcrnrlon=16, llcrnrlat=68,
urcrnrlon=20, urcrnrlat=72,
resolution='f', projection='merc')
o.add_reader([reader_basemap]) #Do not include basemap when stranding is deactivated
print([s for s in pattern_kino])
reader_kino = reader_ROMS_native.Reader([s for s in pattern_kino])
reader_kino.interpolation = 'linearNDFast' #linearND
reader_svim = reader_ROMS_native.Reader(svimDirectory+pattern_svim)
reader_svim.interpolation = 'linearNDFast' #linearND
#reader_arome = reader_netCDF_CF_generic.Reader('http://thredds.met.no/thredds/dodsC/arome25/arome_metcoop_default2_5km_latest.nc')
o.add_reader([reader_kino,reader_svim])
num, ReleaseTimes = setupSeed(hoursBetweenTimestepInROMSFiles,startTime,endTime,startReleaseTime,endReleaseTime,releaseParticles)
#######################
#Adjusting configuration
#######################
o.set_config('processes:turbulentmixing', True)
o.set_config('turbulentmixing:diffusivitymodel','environment')
o.set_config('turbulentmixing:timestep', 30) # seconds
o.set_config('turbulentmixing:verticalresolution', 1) # default is 1 meter, but since we have longer timestep we justify it
o.set_config('processes:verticaladvection', True)
o.set_config('turbulentmixing:TSprofiles', True)
# o.set_config('drift:scheme', 'euler')
o.set_config('drift:scheme', 'runge-kutta')
#del o.fallback_values['x_sea_water_velocity']
#del o.fallback_values['y_sea_water_velocity']
o.set_config('general:coastline_action', 'stranding') #Prevent stranding, jump back to previous position
#######################
# Seed kelp particles
#######################
kelpProps=kelpProperties(num)
for i, nums in enumerate(num):
if nums <= 0:
continue
print("Running i=%s num=%s and polygon=%s"%(i,nums,polygonIndex))
o.seed_from_shapefile(shapefile, nums,featurenum=[polygonIndex],
z=np.random.randint(low=lowDepth, high=highDepth, size=np.shape(nums)),
weight=kelpProps[i,0],
volume=kelpProps[i,1],
diameter=kelpProps[i,2],
density=kelpProps[i,3],
time=ReleaseTimes[i])
#reader_basemap.plot()
#########################
# Run the model
#########################
o.run(end_time=endTime, time_step=timedelta(hours=2),
outfile=outputFilename)
#export_variables=['lon', 'lat', 'z','temp','length','weight','survival'])
print(o)
#########################
# SETUP FOR KELP PROJECT
#########################
startTime=datetime(2016,4,10,12,0,0)
endTime=datetime(2016,5,26,23,0,0)
startReleaseTime=startTime
endReleaseTime=datetime(2016,4,12,12,0,0)
releaseParticles=4 # Per timestep multiplied by gaussian bell (so maximum is releaseParticles and minimum is close to zero)
lowDepth, highDepth = -7, -2 # in negative meters
verticalBehavior=False
hoursBetweenTimestepInROMSFiles=1
#kinoDirectory='/work/users/trondk/KINO/FORWARD/Run/RESULTS/'+str(startTime.year)+'/'
kinoDirectory='/work/shared/nn9297k/Nordfjord/'
kinoDirectory='/imr/vol1/NorFjords5/Malangen-160m_AUG2015-AUG2016/'
svimDirectory='/work/shared/imr/SVIM/'+str(startTime.year)+'/'
firstkino = int(date2num(startTime,units="days since 1948-01-01 00:00:00",calendar="standard"))
lastkino = int(date2num(endTime,units="days since 1948-01-01 00:00:00",calendar="standard"))
apattern = 'norfjords_160m_his.nc4_%s*'%(startTime.year)
argument="%s%s"%(kinoDirectory,apattern)
pattern_kino = glob.glob(argument)
pattern_kino.sort()
print(pattern_kino)
pattern_svim='ocean_avg_*.nc'
shapefile='/work/shared/nn9297k/Kelp/Shapefile/KelpExPol_utenNASAland.shp'
print("=> Using shapefile %s"%(shapefile))
s = ogr.Open(shapefile)
for layer in s:
polygons=[x+1 for x in range(layer.GetFeatureCount()-1)]
#polygons=[1,2,3,4,7] #N.Trench,Dogger bank C, Dogger bank, German bight, Viking bank
#polygons=[2] #N.Trench,Dogger bank C, Dogger bank, German bight, Viking bank
for polygonIndex in polygons:
feature = layer.GetFeature(polygonIndex-1)
print("Area",feature.GetGeometryRef().GetArea())
geom = feature.GetGeometryRef()
points = geom.GetGeometryCount()
ring = geom.GetGeometryRef(0)
print("jj",polygonIndex, points)
if ring.GetPointCount() > 3:
outputFilename, animationFilename, plotFilename = createOutputFilenames(startTime,endTime,polygonIndex,shapefile,verticalBehavior)
print("Result files will be stored as:\nnetCDF=> %s\nmp4=> %s"%(outputFilename,animationFilename))
createAndRunSimulation(lowDepth,highDepth,endTime,
layer,polygonIndex,shapefile,
outputFilename,animationFilename,plotFilename,releaseParticles,
kinoDirectory,pattern_kino,svimDirectory,pattern_svim,verticalBehavior)
| 38.992565 | 218 | 0.695586 | 1,218 | 10,489 | 5.885057 | 0.328407 | 0.005022 | 0.012556 | 0.010882 | 0.284319 | 0.203125 | 0.175223 | 0.146763 | 0.138951 | 0.138951 | 0 | 0.029656 | 0.160931 | 10,489 | 268 | 219 | 39.13806 | 0.784797 | 0.179331 | 0 | 0.030864 | 0 | 0.006173 | 0.160569 | 0.088246 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.098765 | null | null | 0.074074 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
fb5eea86a746925440911830c3d41121077c7f7a | 472 | py | Python | vimfiles/bundle/vim-python/submodules/pylint/tests/functional/s/star/star_needs_assignment_target_py35.py | ciskoinch8/vimrc | 5bf77a7e7bc70fac5173ab2e9ea05d7dda3e52b8 | [
"MIT"
] | 463 | 2015-01-15T08:17:42.000Z | 2022-03-28T15:10:20.000Z | vimfiles/bundle/vim-python/submodules/pylint/tests/functional/s/star/star_needs_assignment_target_py35.py | ciskoinch8/vimrc | 5bf77a7e7bc70fac5173ab2e9ea05d7dda3e52b8 | [
"MIT"
] | 52 | 2015-01-06T02:43:59.000Z | 2022-03-14T11:15:21.000Z | vimfiles/bundle/vim-python/submodules/pylint/tests/functional/s/star/star_needs_assignment_target_py35.py | ciskoinch8/vimrc | 5bf77a7e7bc70fac5173ab2e9ea05d7dda3e52b8 | [
"MIT"
] | 249 | 2015-01-07T22:49:49.000Z | 2022-03-18T02:32:06.000Z | """
Test PEP 0448 -- Additional Unpacking Generalizations
https://www.python.org/dev/peps/pep-0448/
"""
# pylint: disable=superfluous-parens, unnecessary-comprehension
UNPACK_TUPLE = (*range(4), 4)
UNPACK_LIST = [*range(4), 4]
UNPACK_SET = {*range(4), 4}
UNPACK_DICT = {'a': 1, **{'b': '2'}}
UNPACK_DICT2 = {**UNPACK_DICT, "x": 1, "y": 2}
UNPACK_DICT3 = {**{'a': 1}, 'a': 2, **{'a': 3}}
UNPACK_IN_COMP = {elem for elem in (*range(10))} # [star-needs-assignment-target]
| 29.5 | 81 | 0.641949 | 70 | 472 | 4.2 | 0.614286 | 0.061224 | 0.071429 | 0.132653 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.060533 | 0.125 | 472 | 15 | 82 | 31.466667 | 0.651332 | 0.194915 | 0 | 0 | 0 | 0 | 0.029197 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
fb623387f3a45681b01c77927c90b4d6cbbd3ef4 | 3,503 | py | Python | ImageStabilizer.py | arthurscholz/UMN-AFM-Scripts | 86b4d11f9f70f378200899c930d1fa38ad393c66 | [
"MIT"
] | null | null | null | ImageStabilizer.py | arthurscholz/UMN-AFM-Scripts | 86b4d11f9f70f378200899c930d1fa38ad393c66 | [
"MIT"
] | null | null | null | ImageStabilizer.py | arthurscholz/UMN-AFM-Scripts | 86b4d11f9f70f378200899c930d1fa38ad393c66 | [
"MIT"
] | null | null | null | import numpy as np
import picoscript
import cv2
import HeightTracker
import atexit
print "Setting Parameters..."
zDacRange = 0.215 # Sensor specific number
windowSize = 3e-6 # window size in meters
windowBLHCX = 3.5e-6 # window bottom left hand corner X-axis in meters
windowBLHCY = 3.5e-6 # window bottom left hand corner Y-axis in meters
imageBuffer = 0 # buffer for tracking image (0-7)
binary = True
servoRange = picoscript.GetServoTopographyRange()
imageRange = servoRange * zDacRange
MAX_SHORT = 2**15
def PlaneLevel(im):
x, y = np.indices(im.shape)
A = np.vstack([x.flatten(), y.flatten(), np.ones(im.size)]).T
z = im.flatten()
a,b,c = np.linalg.lstsq(A, z)[0]
plane = a*x + b*y + c
return im - plane
def LineLevel(im):
output = np.empty_like(im)
for i in range(im.shape[0]):
output[i] = im[i] - np.median(im[i])
return output
def LoadBuffer(i):
xSize = picoscript.GetScanXPixels()
ySize = picoscript.GetScanYPixels()
# Read in image data buffer
im = np.asarray(picoscript.ReadImageDataBuffer(imageBuffer))
im = im.reshape(ySize,xSize)
im = im * imageRange / MAX_SHORT
return im
# Calculates scan offset for new image. Takes an image, roi template and bottom
# left hand corner
def CalculateOffset(im,template,blhc):
res = cv2.matchTemplate(im.astype('float32'),template.astype('float32'),cv2.TM_CCORR_NORMED)
min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(res)
# returns vector to feature
return np.asarray(max_loc)-blhc
def Stabilize():
position = picoscript.GetStatusApproachPosition()
im = LoadBuffer(0)
im = PlaneLevel(im)
im = LineLevel(im)
ref_image = im
im_size = picoscript.GetScanSize()
x0 = int(windowBLHCX / im_size * im.shape[1])
y0 = int(windowBLHCY / im_size * im.shape[0])
x1 = int((windowBLHCX + windowSize)/im_size * im.shape[1])
y1 = int((windowBLHCY + windowSize)/im_size * im.shape[0])
template = ref_image[y0:y1,x0:x1]
while(position == picoscript.GetStatusApproachPosition()):
picoscript.ScanStartDown()
picoscript.WaitForStatusScanning(True)
picoscript.WaitForStatusScanning(False)
im = LoadBuffer(0)
im = PlaneLevel(im)
im = LineLevel(im)
offset = CalculateOffset(im,template,np.array([x0,y0]))
x_offset = picoscript.GetScanXOffset() + offset[0]*im_size/im.shape[1]
y_offset = picoscript.GetScanYOffset() + offset[1]*im_size/im.shape[0]
picoscript.SetScanXOffset(x_offset)
picoscript.SetScanYOffset(y_offset)
x0_new = offset[0] + x0
x1_new = offset[0] + x1
y0_new = offset[1] + y0
y1_new = offset[1] + y1
print '{0}, {1}'.format(x_offset, y_offset)
template = im[y0_new:y1_new,x0_new:x1_new]
if __name__ == "__main__":
atexit.register(picoscript.Disconnect)
heighttrack = HeightTracker.Track()
heighttrack.start()
RunStabilize = True
print "Waiting for current scan to end..."
picoscript.WaitForStatusScanning(False)
print "Starting stabilization..."
while True:
if RunStabilize:
Stabilize()
position = picoscript.GetStatusApproachPosition()
picoscript.ScanStartDown()
picoscript.WaitForStatusScanning(True)
picoscript.WaitForStatusScanning(False)
RunStabilize = position == picoscript.GetStatusApproachPosition()
| 30.198276 | 96 | 0.663717 | 434 | 3,503 | 5.262673 | 0.334101 | 0.024518 | 0.021016 | 0.034151 | 0.226795 | 0.181261 | 0.181261 | 0.181261 | 0.154991 | 0.119965 | 0 | 0.0243 | 0.224665 | 3,503 | 116 | 97 | 30.198276 | 0.816642 | 0.091065 | 0 | 0.178571 | 0 | 0 | 0.034646 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.059524 | null | null | 0.047619 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
fb67712141abf405660b20968e896ccaf386184f | 3,696 | py | Python | src/commercetools/services/inventory.py | labd/commercetools-python-sdk | d8ec285f08d56ede2e4cad45c74833f5b609ab5c | [
"MIT"
] | 15 | 2018-11-02T14:35:52.000Z | 2022-03-16T07:51:44.000Z | src/commercetools/services/inventory.py | lime-green/commercetools-python-sdk | 63b77f6e5abe43e2b3ebbf3cdbbe00c7cf80dca6 | [
"MIT"
] | 84 | 2018-11-02T12:50:32.000Z | 2022-03-22T01:25:54.000Z | src/commercetools/services/inventory.py | lime-green/commercetools-python-sdk | 63b77f6e5abe43e2b3ebbf3cdbbe00c7cf80dca6 | [
"MIT"
] | 13 | 2019-01-03T09:16:50.000Z | 2022-02-15T18:37:19.000Z | # DO NOT EDIT! This file is automatically generated
import typing
from commercetools.helpers import RemoveEmptyValuesMixin
from commercetools.platform.models.inventory import (
InventoryEntry,
InventoryEntryDraft,
InventoryEntryUpdate,
InventoryEntryUpdateAction,
InventoryPagedQueryResponse,
)
from commercetools.typing import OptionalListStr
from . import abstract, traits
class _InventoryEntryQuerySchema(
traits.ExpandableSchema,
traits.SortableSchema,
traits.PagingSchema,
traits.QuerySchema,
):
pass
class _InventoryEntryUpdateSchema(traits.ExpandableSchema, traits.VersionedSchema):
pass
class _InventoryEntryDeleteSchema(traits.VersionedSchema, traits.ExpandableSchema):
pass
class InventoryEntryService(abstract.AbstractService):
"""Inventory allows you to track stock quantities."""
def get_by_id(self, id: str, *, expand: OptionalListStr = None) -> InventoryEntry:
params = self._serialize_params({"expand": expand}, traits.ExpandableSchema)
return self._client._get(
endpoint=f"inventory/{id}", params=params, response_class=InventoryEntry
)
def query(
self,
*,
expand: OptionalListStr = None,
sort: OptionalListStr = None,
limit: int = None,
offset: int = None,
with_total: bool = None,
where: OptionalListStr = None,
predicate_var: typing.Dict[str, str] = None,
) -> InventoryPagedQueryResponse:
"""Inventory allows you to track stock quantities."""
params = self._serialize_params(
{
"expand": expand,
"sort": sort,
"limit": limit,
"offset": offset,
"with_total": with_total,
"where": where,
"predicate_var": predicate_var,
},
_InventoryEntryQuerySchema,
)
return self._client._get(
endpoint="inventory",
params=params,
response_class=InventoryPagedQueryResponse,
)
def create(
self, draft: InventoryEntryDraft, *, expand: OptionalListStr = None
) -> InventoryEntry:
"""Inventory allows you to track stock quantities."""
params = self._serialize_params({"expand": expand}, traits.ExpandableSchema)
return self._client._post(
endpoint="inventory",
params=params,
data_object=draft,
response_class=InventoryEntry,
)
def update_by_id(
self,
id: str,
version: int,
actions: typing.List[InventoryEntryUpdateAction],
*,
expand: OptionalListStr = None,
force_update: bool = False,
) -> InventoryEntry:
params = self._serialize_params({"expand": expand}, _InventoryEntryUpdateSchema)
update_action = InventoryEntryUpdate(version=version, actions=actions)
return self._client._post(
endpoint=f"inventory/{id}",
params=params,
data_object=update_action,
response_class=InventoryEntry,
force_update=force_update,
)
def delete_by_id(
self,
id: str,
version: int,
*,
expand: OptionalListStr = None,
force_delete: bool = False,
) -> InventoryEntry:
params = self._serialize_params(
{"version": version, "expand": expand}, _InventoryEntryDeleteSchema
)
return self._client._delete(
endpoint=f"inventory/{id}",
params=params,
response_class=InventoryEntry,
force_delete=force_delete,
)
| 30.545455 | 88 | 0.623106 | 311 | 3,696 | 7.234727 | 0.266881 | 0.059111 | 0.055556 | 0.055556 | 0.311111 | 0.277778 | 0.263556 | 0.171111 | 0.171111 | 0.118667 | 0 | 0 | 0.28869 | 3,696 | 120 | 89 | 30.8 | 0.855839 | 0.052489 | 0 | 0.376238 | 1 | 0 | 0.040161 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.049505 | false | 0.029703 | 0.049505 | 0 | 0.188119 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
fb6a3d12a6011f130cb0dca995f5e63b890b615a | 184 | py | Python | Desafios/desafio48.py | ArthurBrito1/MY-SCRIPTS-PYTHON | 86967fe293715a705ac50e908d3369fa3257b5a2 | [
"MIT"
] | 1 | 2019-11-21T02:08:58.000Z | 2019-11-21T02:08:58.000Z | Desafios/desafio48.py | ArthurBrito1/MY-SCRIPTS-PYTHON | 86967fe293715a705ac50e908d3369fa3257b5a2 | [
"MIT"
] | null | null | null | Desafios/desafio48.py | ArthurBrito1/MY-SCRIPTS-PYTHON | 86967fe293715a705ac50e908d3369fa3257b5a2 | [
"MIT"
] | null | null | null | s = 0
cont = 0
for c in range(1, 501, 2):
if c % 3 == 0:
s = s + c
cont = cont + 1
print('A soma de todos os {} valores solicitados é {}'.format(cont, s))
| 20.444444 | 72 | 0.483696 | 33 | 184 | 2.69697 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.086207 | 0.369565 | 184 | 8 | 73 | 23 | 0.681034 | 0 | 0 | 0 | 0 | 0 | 0.262857 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.142857 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
fb747216a8e33dd3a7c21862ae471a10d4ad3882 | 246 | py | Python | setup.py | whistlebee/awis-py | 01793c72b369e5e41c4d11b7ba67f71e47cee3ef | [
"Apache-2.0"
] | 1 | 2020-09-04T18:50:32.000Z | 2020-09-04T18:50:32.000Z | setup.py | whistlebee/awis-py | 01793c72b369e5e41c4d11b7ba67f71e47cee3ef | [
"Apache-2.0"
] | 1 | 2020-09-06T05:51:43.000Z | 2020-09-19T09:27:56.000Z | setup.py | whistlebee/awis-py | 01793c72b369e5e41c4d11b7ba67f71e47cee3ef | [
"Apache-2.0"
] | null | null | null | from setuptools import setup, find_packages
setup(
name='awis-py',
version='0.0.2',
url='https://github.com/whistlebee/awis-py',
packages=find_packages(),
install_requires=['requests', 'lxml'],
python_requires='>=3.6'
)
| 20.5 | 48 | 0.658537 | 32 | 246 | 4.9375 | 0.75 | 0.151899 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.024272 | 0.162602 | 246 | 11 | 49 | 22.363636 | 0.742718 | 0 | 0 | 0 | 0 | 0 | 0.268293 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.111111 | 0 | 0.111111 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
fb7811b122904a7fba10519297aa03213ea6aa2e | 755 | py | Python | deep-rl/lib/python2.7/site-packages/OpenGL/GLES2/vboimplementation.py | ShujaKhalid/deep-rl | 99c6ba6c3095d1bfdab81bd01395ced96bddd611 | [
"MIT"
] | 210 | 2016-04-09T14:26:00.000Z | 2022-03-25T18:36:19.000Z | deep-rl/lib/python2.7/site-packages/OpenGL/GLES2/vboimplementation.py | ShujaKhalid/deep-rl | 99c6ba6c3095d1bfdab81bd01395ced96bddd611 | [
"MIT"
] | 72 | 2016-09-04T09:30:19.000Z | 2022-03-27T17:06:53.000Z | deep-rl/lib/python2.7/site-packages/OpenGL/GLES2/vboimplementation.py | ShujaKhalid/deep-rl | 99c6ba6c3095d1bfdab81bd01395ced96bddd611 | [
"MIT"
] | 64 | 2016-04-09T14:26:49.000Z | 2022-03-21T11:19:47.000Z | from OpenGL.arrays import vbo
from OpenGL.GLES2.VERSION import GLES2_2_0
from OpenGL.GLES2.OES import mapbuffer
class Implementation( vbo.Implementation ):
"""OpenGL-based implementation of VBO interfaces"""
def __init__( self ):
for name in self.EXPORTED_NAMES:
for source in [ GLES2_2_0, mapbuffer ]:
for possible in (name,name+'OES'):
try:
setattr( self, name, getattr( source, possible ))
except AttributeError as err:
pass
else:
found = True
assert found, name
if GLES2_2_0.glBufferData:
self.available = True
Implementation.register()
| 35.952381 | 73 | 0.561589 | 79 | 755 | 5.227848 | 0.531646 | 0.072639 | 0.050847 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.023158 | 0.370861 | 755 | 20 | 74 | 37.75 | 0.846316 | 0.059603 | 0 | 0 | 0 | 0 | 0.004261 | 0 | 0 | 0 | 0 | 0 | 0.055556 | 1 | 0.055556 | false | 0.055556 | 0.166667 | 0 | 0.277778 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
fb7bbc55fb1c9399f6c93d62c5a66100a843787f | 175 | py | Python | examples/domainby.py | ipfinder/ip-finder-python | 48ba093801d244c12a4583c138d62c94355baf28 | [
"Apache-2.0"
] | 8 | 2019-07-12T22:20:49.000Z | 2022-03-01T09:03:58.000Z | examples/domainby.py | ipfinder/ip-finder-python | 48ba093801d244c12a4583c138d62c94355baf28 | [
"Apache-2.0"
] | 2 | 2019-08-29T23:24:57.000Z | 2021-02-01T15:15:16.000Z | examples/domainby.py | ipfinder/ip-finder-python | 48ba093801d244c12a4583c138d62c94355baf28 | [
"Apache-2.0"
] | 5 | 2019-07-12T23:01:03.000Z | 2021-07-07T11:11:44.000Z | import ipfinder
con = ipfinder.config('f67f788f8a02a188ec84502e0dff066ed4413a85') # YOUR_TOKEN_GOES_HERE
# domain name
by = 'DZ';
dby = con.getDomainBy(by)
print(dby.all)
| 15.909091 | 88 | 0.771429 | 21 | 175 | 6.285714 | 0.809524 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.168831 | 0.12 | 175 | 10 | 89 | 17.5 | 0.688312 | 0.182857 | 0 | 0 | 0 | 0 | 0.3 | 0.285714 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 0.2 | 0.2 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
fb8171ca82d4da70cd7cdba0a82012d267002dc5 | 4,227 | py | Python | compuG/transformacionesPCarte copia.py | alejoso76/Computaci-n-gr-fica | 474a498a328b8951aa0bfa1db2d0d1f3d8cc914b | [
"MIT"
] | null | null | null | compuG/transformacionesPCarte copia.py | alejoso76/Computaci-n-gr-fica | 474a498a328b8951aa0bfa1db2d0d1f3d8cc914b | [
"MIT"
] | null | null | null | compuG/transformacionesPCarte copia.py | alejoso76/Computaci-n-gr-fica | 474a498a328b8951aa0bfa1db2d0d1f3d8cc914b | [
"MIT"
] | null | null | null | import pygame
import math
#Dibuja triangulo y lo escala con el teclado
ANCHO=600
ALTO=480
def dibujarPlano(o, pantalla):
pygame.draw.line(pantalla, [0, 255, 0], [o[0], 0], [o[0], 480] )
pygame.draw.line(pantalla, [0, 255, 0], [0, o[1]], [640, o[1]] )
def dibujarTriangulo(a, b, c, plano):
'''
pygame.draw.line(plano, [0, 255, 0], [a[0], a[1]], [b[0], b[1]] )
pygame.draw.line(plano, [0, 255, 0], [b[0], b[1]], [c[0], c[1]] )
pygame.draw.line(plano, [0, 255, 0], [c[0], c[1]], [a[0], a[1]] )
'''
pygame.draw.polygon(plano, [0, 255, 0], [a,b,c])
pygame.display.flip()
return a, b, c
def mostrarPos():
pos=pygame.mouse.get_pos()
return pos
def escalarPunto (a, factor):
x=a[0]*factor
y=a[1]*factor
return x, y
def rotacionHoraria(a):
#xcos+ysen, -xsen+ycos
x=int(a[0]*math.cos(math.pi/2) + a[1]*math.sin(math.pi/2))
y=int(-(a[0]*math.sin(math.pi/2)) + a[1]*math.cos(math.pi/2))
return x, y
def rotacionAntiHoraria(a):
#xcos-ysen, xsen+ycos
x=int(a[0]*math.cos(math.pi/2) - a[1]*math.sin(math.pi/2))
y=int(a[0]*math.sin(math.pi/2) + a[1]*math.cos(math.pi/2))
return x, y
def calcularPosPlano(o, pos):
x=pos[0]-o[0]
y=-1*(pos[1]-o[1])
return x, y
def calcularPosPantalla(o, p):
x=o[0]+p[0]
y=o[1]-p[1]
return x, y
if __name__ == '__main__':
pygame.init()
pantalla=pygame.display.set_mode([ANCHO, ALTO]) #Crea la ventana
o=[ANCHO/2, ALTO/2]
dibujarPlano(o, pantalla)
pygame.display.flip()
print 'Funciona'
cont=0
lista=[]
fin=False
while not fin:
for event in pygame.event.get():
if event.type == pygame.QUIT:
fin=True
if event.type == pygame.MOUSEBUTTONDOWN:
cont+=1
lista.append(mostrarPos())
if event.type == pygame.KEYDOWN:
if event.key==pygame.K_RIGHT:
pantalla.fill([0, 0, 0])
dibujarPlano(o, pantalla)
pygame.display.flip()
puntos=lista
puntos[0]=calcularPosPlano(o, puntos[0])
puntos[1]=calcularPosPlano(o, puntos[1])
puntos[2]=calcularPosPlano(o, puntos[2])
'''
print 'Puntos iniciales:'
print puntos
'''
puntos[0]=rotacionHoraria(puntos[0])
puntos[1]=rotacionHoraria(puntos[1])
puntos[2]=rotacionHoraria(puntos[2])
puntos[0]=calcularPosPantalla(o, puntos[0])
puntos[1]=calcularPosPantalla(o, puntos[1])
puntos[2]=calcularPosPantalla(o, puntos[2])
''''
print 'Puntos finales:'
print puntos
'''
dibujarTriangulo(puntos[0], puntos[1], puntos[2], pantalla)
if event.key==pygame.K_LEFT:
pantalla.fill([0, 0, 0])
dibujarPlano(o, pantalla)
pygame.display.flip()
puntos=lista
puntos[0]=calcularPosPlano(o, puntos[0])
puntos[1]=calcularPosPlano(o, puntos[1])
puntos[2]=calcularPosPlano(o, puntos[2])
'''
print 'Puntos iniciales:'
print puntos
'''
puntos[0]=rotacionAntiHoraria(puntos[0])
puntos[1]=rotacionAntiHoraria(puntos[1])
puntos[2]=rotacionAntiHoraria(puntos[2])
puntos[0]=calcularPosPantalla(o, puntos[0])
puntos[1]=calcularPosPantalla(o, puntos[1])
puntos[2]=calcularPosPantalla(o, puntos[2])
'''
print 'Puntos finales:'
print puntos
'''
dibujarTriangulo(puntos[0], puntos[1], puntos[2], pantalla)
if cont==3:
dibujarTriangulo(lista[0], lista[1], lista[2], pantalla)
cont=0
#lista=[]
| 32.767442 | 79 | 0.492548 | 511 | 4,227 | 4.050881 | 0.176125 | 0.047343 | 0.027053 | 0.054106 | 0.565217 | 0.543961 | 0.525604 | 0.487923 | 0.463768 | 0.463768 | 0 | 0.052961 | 0.356754 | 4,227 | 128 | 80 | 33.023438 | 0.708349 | 0.025313 | 0 | 0.376471 | 0 | 0 | 0.004607 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.023529 | null | null | 0.011765 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
fb8406595f2e94d2539b01b5e80bd41db3092f8b | 1,667 | py | Python | soccer_stats_calc/soccer_var_ana.py | steffens21/diesunddas | 35222ff2ddac0b115dfd2e5b6764c6878af8d228 | [
"MIT"
] | null | null | null | soccer_stats_calc/soccer_var_ana.py | steffens21/diesunddas | 35222ff2ddac0b115dfd2e5b6764c6878af8d228 | [
"MIT"
] | null | null | null | soccer_stats_calc/soccer_var_ana.py | steffens21/diesunddas | 35222ff2ddac0b115dfd2e5b6764c6878af8d228 | [
"MIT"
] | null | null | null | import sys
from collections import deque
import soccer_toolbox
import csv_tools
def fileToStats(csvfile, stat, nbrAgg):
header, listRawData = csv_tools.loadData(csvfile)
dictCol = csv_tools.getColumns(header)
setTeams = csv_tools.getTeams(listRawData, dictCol['nColHomeTeam'], dictCol['nColAwayTeam'])
resultDict = {team: list() for team in setTeams}
teamDataDict = {team: list() for team in setTeams}
for data in listRawData:
teamDataDict[data[dictCol['nColHomeTeam']]].append(data)
teamDataDict[data[dictCol['nColAwayTeam']]].append(data)
for team in teamDataDict:
currentData = deque()
for data in teamDataDict[team]:
currentData.append(data)
if len(currentData) <= nbrAgg:
continue
else:
currentData.popleft()
# calc
statsDict = soccer_toolbox.getStatsForTeam(team, dictCol, list(currentData))
resultDict[team].append(statsDict[stat])
if currentData:
statsDict = soccer_toolbox.getStatsForTeam(team, dictCol, currentData)
resultDict[team].append(statsDict[stat])
return resultDict
def main():
if len(sys.argv) > 1:
csvfile = sys.argv[1]
else:
csvfile = 'D1.csv'
stat = 'Rating'
if len(sys.argv) > 2:
stat = sys.argv[2]
nbrAgg = 1
if len(sys.argv) > 3:
nbrAgg = int(sys.argv[3])
dictTeamStats = fileToStats(csvfile, stat, nbrAgg)
for name, val in sorted(dictTeamStats.items()):
print ','.join([name] + map(str, val))
if __name__ == "__main__":
main()
| 29.245614 | 96 | 0.619076 | 179 | 1,667 | 5.681564 | 0.324022 | 0.041298 | 0.026549 | 0.035398 | 0.230089 | 0.230089 | 0 | 0 | 0 | 0 | 0 | 0.006579 | 0.270546 | 1,667 | 56 | 97 | 29.767857 | 0.82977 | 0.0024 | 0 | 0.093023 | 0 | 0 | 0.041541 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.093023 | null | null | 0.023256 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
fb8546895b2c19d3192fb1d824c0ca8782071aeb | 895 | py | Python | HelloWorldWebsite/searchTest/views.py | 404NotFound-401/DjangoTutorial | 8218b5308245b309c7cb36386306152378602b6d | [
"MIT"
] | null | null | null | HelloWorldWebsite/searchTest/views.py | 404NotFound-401/DjangoTutorial | 8218b5308245b309c7cb36386306152378602b6d | [
"MIT"
] | 10 | 2019-09-07T20:30:34.000Z | 2019-09-08T19:22:11.000Z | HelloWorldWebsite/searchTest/views.py | 404NotFound-401/DjangoTutorial | 8218b5308245b309c7cb36386306152378602b6d | [
"MIT"
] | 1 | 2019-09-08T19:38:54.000Z | 2019-09-08T19:38:54.000Z | from __future__ import unicode_literals
from django.shortcuts import render, redirect
from django.template import loader
from django.http import HttpResponse
from django.views import generic
from .models import Movie
from . import searchapi
from django.urls import reverse
# Create your views here.
class Search(generic.DetailView):
model = Movie
template_name = 'searchTest.html'
def get(self, request, *args, **kwargs):
context = {'movieId':'Please enter the film name'}
return render(request, self.template_name, context)
def post(self, request, *args, **kwargs):
if 'movieName' in request.POST:
print("Get movie name")
context = searchapi.getName(request.POST['movieName'])
else:
print("Wrong act")
return redirect('mainpage')
return render(request, "home/result.html", context)
| 28.870968 | 66 | 0.684916 | 107 | 895 | 5.663551 | 0.514019 | 0.082508 | 0.049505 | 0.069307 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.221229 | 895 | 30 | 67 | 29.833333 | 0.86944 | 0.025698 | 0 | 0 | 0 | 0 | 0.130184 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.363636 | 0 | 0.727273 | 0.090909 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 |
fb8662bca964b254e5cebea057da8c25555e063b | 27,693 | py | Python | mapreduce/handlers.py | igeeker/v2ex | 9fa81f7c82aa7d162a924d357494b241eb8a6207 | [
"BSD-3-Clause"
] | 161 | 2019-07-23T06:53:45.000Z | 2022-03-24T01:07:19.000Z | mapreduce/handlers.py | igeeker/v2ex | 9fa81f7c82aa7d162a924d357494b241eb8a6207 | [
"BSD-3-Clause"
] | null | null | null | mapreduce/handlers.py | igeeker/v2ex | 9fa81f7c82aa7d162a924d357494b241eb8a6207 | [
"BSD-3-Clause"
] | 26 | 2019-08-05T06:09:38.000Z | 2021-07-08T02:05:13.000Z | #!/usr/bin/env python
#
# Copyright 2010 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
"""Defines executor tasks handlers for MapReduce implementation."""
# Disable "Invalid method name"
# pylint: disable-msg=C6409
import datetime
import logging
import math
import os
from mapreduce.lib import simplejson
import time
from google.appengine.api import memcache
from google.appengine.api.labs import taskqueue
from google.appengine.ext import db
from mapreduce import base_handler
from mapreduce import context
from mapreduce import quota
from mapreduce import model
from mapreduce import quota
from mapreduce import util
# TODO(user): Make this a product of the reader or in quotas.py
_QUOTA_BATCH_SIZE = 20
# The amount of time to perform scanning in one slice. New slice will be
# scheduled as soon as current one takes this long.
_SLICE_DURATION_SEC = 15
# Delay between consecutive controller callback invocations.
_CONTROLLER_PERIOD_SEC = 2
class Error(Exception):
"""Base class for exceptions in this module."""
class NotEnoughArgumentsError(Error):
"""Required argument is missing."""
class NoDataError(Error):
"""There is no data present for a desired input."""
class MapperWorkerCallbackHandler(base_handler.BaseHandler):
"""Callback handler for mapreduce worker task.
Request Parameters:
mapreduce_spec: MapreduceSpec of the mapreduce serialized to json.
shard_id: id of the shard.
slice_id: id of the slice.
"""
def __init__(self, time_function=time.time):
"""Constructor.
Args:
time_function: time function to use to obtain current time.
"""
base_handler.BaseHandler.__init__(self)
self._time = time_function
def post(self):
"""Handle post request."""
spec = model.MapreduceSpec.from_json_str(
self.request.get("mapreduce_spec"))
self._start_time = self._time()
shard_id = self.shard_id()
# TODO(user): Make this prettier
logging.debug("post: shard=%s slice=%s headers=%s",
shard_id, self.slice_id(), self.request.headers)
shard_state, control = db.get([
model.ShardState.get_key_by_shard_id(shard_id),
model.MapreduceControl.get_key_by_job_id(spec.mapreduce_id),
])
if not shard_state:
# We're letting this task to die. It's up to controller code to
# reinitialize and restart the task.
logging.error("State not found for shard ID %r; shutting down",
shard_id)
return
if control and control.command == model.MapreduceControl.ABORT:
logging.info("Abort command received by shard %d of job '%s'",
shard_state.shard_number, shard_state.mapreduce_id)
shard_state.active = False
shard_state.result_status = model.ShardState.RESULT_ABORTED
shard_state.put()
model.MapreduceControl.abort(spec.mapreduce_id)
return
input_reader = self.input_reader(spec.mapper)
if spec.mapper.params.get("enable_quota", True):
quota_consumer = quota.QuotaConsumer(
quota.QuotaManager(memcache.Client()),
shard_id,
_QUOTA_BATCH_SIZE)
else:
quota_consumer = None
ctx = context.Context(spec, shard_state)
context.Context._set(ctx)
try:
# consume quota ahead, because we do not want to run a datastore
# query if there's not enough quota for the shard.
if not quota_consumer or quota_consumer.check():
scan_aborted = False
entity = None
# We shouldn't fetch an entity from the reader if there's not enough
# quota to process it. Perform all quota checks proactively.
if not quota_consumer or quota_consumer.consume():
for entity in input_reader:
if isinstance(entity, db.Model):
shard_state.last_work_item = repr(entity.key())
else:
shard_state.last_work_item = repr(entity)[:100]
scan_aborted = not self.process_entity(entity, ctx)
# Check if we've got enough quota for the next entity.
if (quota_consumer and not scan_aborted and
not quota_consumer.consume()):
scan_aborted = True
if scan_aborted:
break
else:
scan_aborted = True
if not scan_aborted:
logging.info("Processing done for shard %d of job '%s'",
shard_state.shard_number, shard_state.mapreduce_id)
# We consumed extra quota item at the end of for loop.
# Just be nice here and give it back :)
if quota_consumer:
quota_consumer.put(1)
shard_state.active = False
shard_state.result_status = model.ShardState.RESULT_SUCCESS
# TODO(user): Mike said we don't want this happen in case of
# exception while scanning. Figure out when it's appropriate to skip.
ctx.flush()
finally:
context.Context._set(None)
if quota_consumer:
quota_consumer.dispose()
# Rescheduling work should always be the last statement. It shouldn't happen
# if there were any exceptions in code before it.
if shard_state.active:
self.reschedule(spec, input_reader)
def process_entity(self, entity, ctx):
"""Process a single entity.
Call mapper handler on the entity.
Args:
entity: an entity to process.
ctx: current execution context.
Returns:
True if scan should be continued, False if scan should be aborted.
"""
ctx.counters.increment(context.COUNTER_MAPPER_CALLS)
handler = ctx.mapreduce_spec.mapper.handler
if util.is_generator_function(handler):
for result in handler(entity):
if callable(result):
result(ctx)
else:
try:
if len(result) == 2:
logging.error("Collectors not implemented yet")
else:
logging.error("Got bad output tuple of length %d", len(result))
except TypeError:
logging.error(
"Handler yielded type %s, expected a callable or a tuple",
result.__class__.__name__)
else:
handler(entity)
if self._time() - self._start_time > _SLICE_DURATION_SEC:
logging.debug("Spent %s seconds. Rescheduling",
self._time() - self._start_time)
return False
return True
def shard_id(self):
"""Get shard unique identifier of this task from request.
Returns:
shard identifier as string.
"""
return str(self.request.get("shard_id"))
def slice_id(self):
"""Get slice unique identifier of this task from request.
Returns:
slice identifier as int.
"""
return int(self.request.get("slice_id"))
def input_reader(self, mapper_spec):
"""Get the reader from mapper_spec initialized with the request's state.
Args:
mapper_spec: a mapper spec containing the immutable mapper state.
Returns:
An initialized InputReader.
"""
input_reader_spec_dict = simplejson.loads(
self.request.get("input_reader_state"))
return mapper_spec.input_reader_class().from_json(
input_reader_spec_dict)
@staticmethod
def worker_parameters(mapreduce_spec,
shard_id,
slice_id,
input_reader):
"""Fill in mapper worker task parameters.
Returned parameters map is to be used as task payload, and it contains
all the data, required by mapper worker to perform its function.
Args:
mapreduce_spec: specification of the mapreduce.
shard_id: id of the shard (part of the whole dataset).
slice_id: id of the slice (part of the shard).
input_reader: InputReader containing the remaining inputs for this
shard.
Returns:
string->string map of parameters to be used as task payload.
"""
return {"mapreduce_spec": mapreduce_spec.to_json_str(),
"shard_id": shard_id,
"slice_id": str(slice_id),
"input_reader_state": input_reader.to_json_str()}
@staticmethod
def get_task_name(shard_id, slice_id):
"""Compute single worker task name.
Args:
shard_id: id of the shard (part of the whole dataset) as string.
slice_id: id of the slice (part of the shard) as int.
Returns:
task name which should be used to process specified shard/slice.
"""
# Prefix the task name with something unique to this framework's
# namespace so we don't conflict with user tasks on the queue.
return "appengine-mrshard-%s-%s" % (shard_id, slice_id)
def reschedule(self, mapreduce_spec, input_reader):
"""Reschedule worker task to continue scanning work.
Args:
mapreduce_spec: mapreduce specification.
input_reader: remaining input reader to process.
"""
MapperWorkerCallbackHandler.schedule_slice(
self.base_path(), mapreduce_spec, self.shard_id(),
self.slice_id() + 1, input_reader)
@classmethod
def schedule_slice(cls,
base_path,
mapreduce_spec,
shard_id,
slice_id,
input_reader,
queue_name=None,
eta=None,
countdown=None):
"""Schedule slice scanning by adding it to the task queue.
Args:
base_path: base_path of mapreduce request handlers as string.
mapreduce_spec: mapreduce specification as MapreduceSpec.
shard_id: current shard id as string.
slice_id: slice id as int.
input_reader: remaining InputReader for given shard.
queue_name: Optional queue to run on; uses the current queue of
execution or the default queue if unspecified.
eta: Absolute time when the MR should execute. May not be specified
if 'countdown' is also supplied. This may be timezone-aware or
timezone-naive.
countdown: Time in seconds into the future that this MR should execute.
Defaults to zero.
"""
task_params = MapperWorkerCallbackHandler.worker_parameters(
mapreduce_spec, shard_id, slice_id, input_reader)
task_name = MapperWorkerCallbackHandler.get_task_name(shard_id, slice_id)
queue_name = os.environ.get("HTTP_X_APPENGINE_QUEUENAME",
queue_name or "default")
try:
taskqueue.Task(url=base_path + "/worker_callback",
params=task_params,
name=task_name,
eta=eta,
countdown=countdown).add(queue_name)
except (taskqueue.TombstonedTaskError, taskqueue.TaskAlreadyExistsError), e:
logging.warning("Task %r with params %r already exists. %s: %s",
task_name, task_params, e.__class__, e)
class ControllerCallbackHandler(base_handler.BaseHandler):
"""Supervises mapreduce execution.
Is also responsible for gathering execution status from shards together.
This task is "continuously" running by adding itself again to taskqueue if
mapreduce is still active.
"""
def __init__(self, time_function=time.time):
"""Constructor.
Args:
time_function: time function to use to obtain current time.
"""
base_handler.BaseHandler.__init__(self)
self._time = time_function
def post(self):
"""Handle post request."""
spec = model.MapreduceSpec.from_json_str(
self.request.get("mapreduce_spec"))
# TODO(user): Make this logging prettier.
logging.debug("post: id=%s headers=%s",
spec.mapreduce_id, self.request.headers)
state, control = db.get([
model.MapreduceState.get_key_by_job_id(spec.mapreduce_id),
model.MapreduceControl.get_key_by_job_id(spec.mapreduce_id),
])
if not state:
logging.error("State not found for mapreduce_id '%s'; skipping",
spec.mapreduce_id)
return
shard_states = model.ShardState.find_by_mapreduce_id(spec.mapreduce_id)
if state.active and len(shard_states) != spec.mapper.shard_count:
# Some shards were lost
logging.error("Incorrect number of shard states: %d vs %d; "
"aborting job '%s'",
len(shard_states), spec.mapper.shard_count,
spec.mapreduce_id)
state.active = False
state.result_status = model.MapreduceState.RESULT_FAILED
model.MapreduceControl.abort(spec.mapreduce_id)
active_shards = [s for s in shard_states if s.active]
failed_shards = [s for s in shard_states
if s.result_status == model.ShardState.RESULT_FAILED]
aborted_shards = [s for s in shard_states
if s.result_status == model.ShardState.RESULT_ABORTED]
if state.active:
state.active = bool(active_shards)
state.active_shards = len(active_shards)
state.failed_shards = len(failed_shards)
state.aborted_shards = len(aborted_shards)
if (not state.active and control and
control.command == model.MapreduceControl.ABORT):
# User-initiated abort *after* all shards have completed.
logging.info("Abort signal received for job '%s'", spec.mapreduce_id)
state.result_status = model.MapreduceState.RESULT_ABORTED
if not state.active:
state.active_shards = 0
if not state.result_status:
# Set final result status derived from shard states.
if [s for s in shard_states
if s.result_status != model.ShardState.RESULT_SUCCESS]:
state.result_status = model.MapreduceState.RESULT_FAILED
else:
state.result_status = model.MapreduceState.RESULT_SUCCESS
logging.info("Final result for job '%s' is '%s'",
spec.mapreduce_id, state.result_status)
# We don't need a transaction here, since we change only statistics data,
# and we don't care if it gets overwritten/slightly inconsistent.
self.aggregate_state(state, shard_states)
poll_time = state.last_poll_time
state.last_poll_time = datetime.datetime.utcfromtimestamp(self._time())
if not state.active:
# This is the last execution.
# Enqueue done_callback if needed.
def put_state(state):
state.put()
done_callback = spec.params.get(
model.MapreduceSpec.PARAM_DONE_CALLBACK)
if done_callback:
taskqueue.Task(
url=done_callback,
headers={"Mapreduce-Id": spec.mapreduce_id}).add(
spec.params.get(
model.MapreduceSpec.PARAM_DONE_CALLBACK_QUEUE,
"default"),
transactional=True)
db.run_in_transaction(put_state, state)
return
else:
state.put()
processing_rate = int(spec.mapper.params.get(
"processing_rate") or model._DEFAULT_PROCESSING_RATE_PER_SEC)
self.refill_quotas(poll_time, processing_rate, active_shards)
ControllerCallbackHandler.reschedule(
self.base_path(), spec, self.serial_id() + 1)
def aggregate_state(self, mapreduce_state, shard_states):
"""Update current mapreduce state by aggregating shard states.
Args:
mapreduce_state: current mapreduce state as MapreduceState.
shard_states: all shard states (active and inactive). list of ShardState.
"""
processed_counts = []
mapreduce_state.counters_map.clear()
for shard_state in shard_states:
mapreduce_state.counters_map.add_map(shard_state.counters_map)
processed_counts.append(shard_state.counters_map.get(
context.COUNTER_MAPPER_CALLS))
mapreduce_state.set_processed_counts(processed_counts)
def refill_quotas(self,
last_poll_time,
processing_rate,
active_shard_states):
"""Refill quotas for all active shards.
Args:
last_poll_time: Datetime with the last time the job state was updated.
processing_rate: How many items to process per second overall.
active_shard_states: All active shard states, list of ShardState.
"""
if not active_shard_states:
return
quota_manager = quota.QuotaManager(memcache.Client())
current_time = int(self._time())
last_poll_time = time.mktime(last_poll_time.timetuple())
total_quota_refill = processing_rate * max(0, current_time - last_poll_time)
quota_refill = int(math.ceil(
1.0 * total_quota_refill / len(active_shard_states)))
if not quota_refill:
return
# TODO(user): use batch memcache API to refill quota in one API call.
for shard_state in active_shard_states:
quota_manager.put(shard_state.shard_id, quota_refill)
def serial_id(self):
"""Get serial unique identifier of this task from request.
Returns:
serial identifier as int.
"""
return int(self.request.get("serial_id"))
@staticmethod
def get_task_name(mapreduce_spec, serial_id):
"""Compute single controller task name.
Args:
mapreduce_spec: specification of the mapreduce.
serial_id: id of the invocation as int.
Returns:
task name which should be used to process specified shard/slice.
"""
# Prefix the task name with something unique to this framework's
# namespace so we don't conflict with user tasks on the queue.
return "appengine-mrcontrol-%s-%s" % (
mapreduce_spec.mapreduce_id, serial_id)
@staticmethod
def controller_parameters(mapreduce_spec, serial_id):
"""Fill in controller task parameters.
Returned parameters map is to be used as task payload, and it contains
all the data, required by controller to perform its function.
Args:
mapreduce_spec: specification of the mapreduce.
serial_id: id of the invocation as int.
Returns:
string->string map of parameters to be used as task payload.
"""
return {"mapreduce_spec": mapreduce_spec.to_json_str(),
"serial_id": str(serial_id)}
@classmethod
def reschedule(cls, base_path, mapreduce_spec, serial_id, queue_name=None):
"""Schedule new update status callback task.
Args:
base_path: mapreduce handlers url base path as string.
mapreduce_spec: mapreduce specification as MapreduceSpec.
serial_id: id of the invocation as int.
queue_name: The queue to schedule this task on. Will use the current
queue of execution if not supplied.
"""
task_name = ControllerCallbackHandler.get_task_name(
mapreduce_spec, serial_id)
task_params = ControllerCallbackHandler.controller_parameters(
mapreduce_spec, serial_id)
if not queue_name:
queue_name = os.environ.get("HTTP_X_APPENGINE_QUEUENAME", "default")
try:
taskqueue.Task(url=base_path + "/controller_callback",
name=task_name, params=task_params,
countdown=_CONTROLLER_PERIOD_SEC).add(queue_name)
except (taskqueue.TombstonedTaskError, taskqueue.TaskAlreadyExistsError), e:
logging.warning("Task %r with params %r already exists. %s: %s",
task_name, task_params, e.__class__, e)
class KickOffJobHandler(base_handler.BaseHandler):
"""Taskqueue handler which kicks off a mapreduce processing.
Request Parameters:
mapreduce_spec: MapreduceSpec of the mapreduce serialized to json.
input_readers: List of InputReaders objects separated by semi-colons.
"""
def post(self):
"""Handles kick off request."""
spec = model.MapreduceSpec.from_json_str(
self._get_required_param("mapreduce_spec"))
input_readers_json = simplejson.loads(
self._get_required_param("input_readers"))
queue_name = os.environ.get("HTTP_X_APPENGINE_QUEUENAME", "default")
mapper_input_reader_class = spec.mapper.input_reader_class()
input_readers = [mapper_input_reader_class.from_json_str(reader_json)
for reader_json in input_readers_json]
KickOffJobHandler._schedule_shards(
spec, input_readers, queue_name, self.base_path())
ControllerCallbackHandler.reschedule(
self.base_path(), spec, queue_name=queue_name, serial_id=0)
def _get_required_param(self, param_name):
"""Get a required request parameter.
Args:
param_name: name of request parameter to fetch.
Returns:
parameter value
Raises:
NotEnoughArgumentsError: if parameter is not specified.
"""
value = self.request.get(param_name)
if not value:
raise NotEnoughArgumentsError(param_name + " not specified")
return value
@classmethod
def _schedule_shards(cls, spec, input_readers, queue_name, base_path):
"""Prepares shard states and schedules their execution.
Args:
spec: mapreduce specification as MapreduceSpec.
input_readers: list of InputReaders describing shard splits.
queue_name: The queue to run this job on.
base_path: The base url path of mapreduce callbacks.
"""
# Note: it's safe to re-attempt this handler because:
# - shard state has deterministic and unique key.
# - schedule_slice will fall back gracefully if a task already exists.
shard_states = []
for shard_number, input_reader in enumerate(input_readers):
shard = model.ShardState.create_new(spec.mapreduce_id, shard_number)
shard.shard_description = str(input_reader)
shard_states.append(shard)
# Retrievs already existing shards.
existing_shard_states = db.get(shard.key() for shard in shard_states)
existing_shard_keys = set(shard.key() for shard in existing_shard_states
if shard is not None)
# Puts only non-existing shards.
db.put(shard for shard in shard_states
if shard.key() not in existing_shard_keys)
for shard_number, input_reader in enumerate(input_readers):
shard_id = model.ShardState.shard_id_from_number(
spec.mapreduce_id, shard_number)
MapperWorkerCallbackHandler.schedule_slice(
base_path, spec, shard_id, 0, input_reader, queue_name=queue_name)
class StartJobHandler(base_handler.JsonHandler):
"""Command handler starts a mapreduce job."""
def handle(self):
"""Handles start request."""
# Mapper spec as form arguments.
mapreduce_name = self._get_required_param("name")
mapper_input_reader_spec = self._get_required_param("mapper_input_reader")
mapper_handler_spec = self._get_required_param("mapper_handler")
mapper_params = self._get_params(
"mapper_params_validator", "mapper_params.")
params = self._get_params(
"params_validator", "params.")
# Set some mapper param defaults if not present.
mapper_params["processing_rate"] = int(mapper_params.get(
"processing_rate") or model._DEFAULT_PROCESSING_RATE_PER_SEC)
queue_name = mapper_params["queue_name"] = mapper_params.get(
"queue_name", "default")
# Validate the Mapper spec, handler, and input reader.
mapper_spec = model.MapperSpec(
mapper_handler_spec,
mapper_input_reader_spec,
mapper_params,
int(mapper_params.get("shard_count", model._DEFAULT_SHARD_COUNT)))
mapreduce_id = type(self)._start_map(
mapreduce_name,
mapper_spec,
params,
base_path=self.base_path(),
queue_name=queue_name,
_app=mapper_params.get("_app"))
self.json_response["mapreduce_id"] = mapreduce_id
def _get_params(self, validator_parameter, name_prefix):
"""Retrieves additional user-supplied params for the job and validates them.
Args:
validator_parameter: name of the request parameter which supplies
validator for this parameter set.
name_prefix: common prefix for all parameter names in the request.
Raises:
Any exception raised by the 'params_validator' request parameter if
the params fail to validate.
"""
params_validator = self.request.get(validator_parameter)
user_params = {}
for key in self.request.arguments():
if key.startswith(name_prefix):
values = self.request.get_all(key)
adjusted_key = key[len(name_prefix):]
if len(values) == 1:
user_params[adjusted_key] = values[0]
else:
user_params[adjusted_key] = values
if params_validator:
resolved_validator = util.for_name(params_validator)
resolved_validator(user_params)
return user_params
def _get_required_param(self, param_name):
"""Get a required request parameter.
Args:
param_name: name of request parameter to fetch.
Returns:
parameter value
Raises:
NotEnoughArgumentsError: if parameter is not specified.
"""
value = self.request.get(param_name)
if not value:
raise NotEnoughArgumentsError(param_name + " not specified")
return value
@classmethod
def _start_map(cls, name, mapper_spec,
mapreduce_params,
base_path="/mapreduce",
queue_name="default",
eta=None,
countdown=None,
_app=None):
# Check that handler can be instantiated.
mapper_spec.get_handler()
mapper_input_reader_class = mapper_spec.input_reader_class()
mapper_input_readers = mapper_input_reader_class.split_input(mapper_spec)
if not mapper_input_readers:
raise NoDataError("Found no mapper input readers to process.")
mapper_spec.shard_count = len(mapper_input_readers)
state = model.MapreduceState.create_new()
mapreduce_spec = model.MapreduceSpec(
name,
state.key().id_or_name(),
mapper_spec.to_json(),
mapreduce_params)
state.mapreduce_spec = mapreduce_spec
state.active = True
state.active_shards = mapper_spec.shard_count
if _app:
state.app_id = _app
# TODO(user): Initialize UI fields correctly.
state.char_url = ""
state.sparkline_url = ""
def schedule_mapreduce(state, mapper_input_readers, eta, countdown):
state.put()
readers_json = [reader.to_json_str() for reader in mapper_input_readers]
taskqueue.Task(
url=base_path + "/kickoffjob_callback",
params={"mapreduce_spec": state.mapreduce_spec.to_json_str(),
"input_readers": simplejson.dumps(readers_json)},
eta=eta, countdown=countdown).add(queue_name, transactional=True)
# Point of no return: We're actually going to run this job!
db.run_in_transaction(
schedule_mapreduce, state, mapper_input_readers, eta, countdown)
return state.key().id_or_name()
class CleanUpJobHandler(base_handler.JsonHandler):
"""Command to kick off tasks to clean up a job's data."""
def handle(self):
# TODO(user): Have this kick off a task to clean up all MapreduceState,
# ShardState, and MapreduceControl entities for a job ID.
self.json_response["status"] = "This does nothing yet."
class AbortJobHandler(base_handler.JsonHandler):
"""Command to abort a running job."""
def handle(self):
model.MapreduceControl.abort(self.request.get("mapreduce_id"))
self.json_response["status"] = "Abort signal sent."
| 35.188056 | 80 | 0.680605 | 3,533 | 27,693 | 5.12822 | 0.152279 | 0.020642 | 0.012419 | 0.004471 | 0.373772 | 0.317254 | 0.280329 | 0.237223 | 0.200684 | 0.196766 | 0 | 0.001521 | 0.240386 | 27,693 | 786 | 81 | 35.232824 | 0.859764 | 0.106236 | 0 | 0.26087 | 0 | 0 | 0.075547 | 0.008175 | 0 | 0 | 0 | 0.006361 | 0 | 0 | null | null | 0 | 0.036232 | null | null | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
fb8db21fcb68449e4d69cc6ce7881b29676db85c | 864 | py | Python | Numbers/floor_tiles_cost.py | lucasc896/Projects | 01ec687b07e4b56554c89ecc244fe5979c489826 | [
"MIT"
] | null | null | null | Numbers/floor_tiles_cost.py | lucasc896/Projects | 01ec687b07e4b56554c89ecc244fe5979c489826 | [
"MIT"
] | null | null | null | Numbers/floor_tiles_cost.py | lucasc896/Projects | 01ec687b07e4b56554c89ecc244fe5979c489826 | [
"MIT"
] | null | null | null | import math as ma
# note all sizes in m^2
# all costs in pounds
def get_details():
return {'w': get_value("Width:", float),
'h': get_value("Height:", float),
'cost': get_value("Cost per tile:", float),}
def get_value(text = "enter_val", expected_type = None):
while True:
r_in = raw_input(text)
try:
r_in = expected_type(r_in)
return r_in
except ValueError:
print "Incorrect variable type entered. Expected: %s" % expected_type
def get_cost(d = {}):
for key in ['w', 'h', 'cost', 'tile_area']:
assert key in d
total_cost = d['w']*d['h']*d['cost']/d['tile_area']
return total_cost
if __name__ == "__main__":
vals = get_details()
vals['tile_area'] = 0.04 #0.2m squared tiles
print "\n > Total cost: %.2f\n" % get_cost(vals) | 23.351351 | 81 | 0.572917 | 126 | 864 | 3.690476 | 0.484127 | 0.068817 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011236 | 0.278935 | 864 | 37 | 82 | 23.351351 | 0.735152 | 0.068287 | 0 | 0 | 0 | 0 | 0.198254 | 0 | 0 | 0 | 0 | 0 | 0.045455 | 0 | null | null | 0 | 0.045455 | null | null | 0.090909 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
fb9534493c6c33c290455dafb3878a1f3ed9246b | 454 | py | Python | opendbc/generator/test_generator.py | darknight111/openpilot3 | a0c755fbe1889f26404a8225816f57e89fde7bc2 | [
"MIT"
] | 116 | 2018-03-07T09:00:10.000Z | 2020-04-06T18:37:45.000Z | opendbc/generator/test_generator.py | darknight111/openpilot3 | a0c755fbe1889f26404a8225816f57e89fde7bc2 | [
"MIT"
] | 66 | 2020-04-09T20:27:57.000Z | 2022-01-27T14:39:24.000Z | opendbc/generator/test_generator.py | darknight111/openpilot3 | a0c755fbe1889f26404a8225816f57e89fde7bc2 | [
"MIT"
] | 154 | 2020-04-08T21:41:22.000Z | 2022-03-17T21:05:33.000Z | #!/usr/bin/env python3
import os
import filecmp
import tempfile
from opendbc.generator.generator import create_all, opendbc_root
def test_generator():
with tempfile.TemporaryDirectory() as d:
create_all(d)
ignore = [f for f in os.listdir(opendbc_root) if not f.endswith('_generated.dbc')]
comp = filecmp.dircmp(opendbc_root, d, ignore=ignore)
assert len(comp.diff_files) == 0, f"Different files: {comp.diff_files}"
test_generator()
| 26.705882 | 86 | 0.746696 | 67 | 454 | 4.910448 | 0.567164 | 0.100304 | 0.079027 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005141 | 0.143172 | 454 | 16 | 87 | 28.375 | 0.840617 | 0.046256 | 0 | 0 | 0 | 0 | 0.111111 | 0 | 0 | 0 | 0 | 0 | 0.090909 | 1 | 0.090909 | false | 0 | 0.363636 | 0 | 0.454545 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 |
fb97354673fa2e5ae7cab8bfd23169b53bcbcce7 | 254 | py | Python | python/griddly/util/rllib/torch/agents/common.py | maichmueller/Griddly | 25b978a08f13226de2831d0941af0f37fea12718 | [
"MIT"
] | 93 | 2020-05-29T14:36:46.000Z | 2022-03-28T02:58:04.000Z | python/griddly/util/rllib/torch/agents/common.py | maichmueller/Griddly | 25b978a08f13226de2831d0941af0f37fea12718 | [
"MIT"
] | 35 | 2020-07-22T16:43:03.000Z | 2022-03-30T19:50:20.000Z | python/griddly/util/rllib/torch/agents/common.py | maichmueller/Griddly | 25b978a08f13226de2831d0941af0f37fea12718 | [
"MIT"
] | 13 | 2020-07-22T08:24:28.000Z | 2022-01-28T06:58:38.000Z | import numpy as np
from torch import nn
def layer_init(layer, std=np.sqrt(2), bias_const=0.0):
"""
Simple function to init layers
"""
nn.init.orthogonal_(layer.weight, std)
nn.init.constant_(layer.bias, bias_const)
return layer
| 21.166667 | 54 | 0.685039 | 40 | 254 | 4.225 | 0.6 | 0.106509 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014778 | 0.200787 | 254 | 11 | 55 | 23.090909 | 0.817734 | 0.11811 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.333333 | 0 | 0.666667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 |
fb9c65b9797d0529bc740e716a16f8507c95db85 | 1,567 | py | Python | testframework/checkers/spanner_checker.py | emartech/ems-dataflow-testframework | c70b0768573e9c4af98173bb0b444dee442de53a | [
"MIT"
] | null | null | null | testframework/checkers/spanner_checker.py | emartech/ems-dataflow-testframework | c70b0768573e9c4af98173bb0b444dee442de53a | [
"MIT"
] | null | null | null | testframework/checkers/spanner_checker.py | emartech/ems-dataflow-testframework | c70b0768573e9c4af98173bb0b444dee442de53a | [
"MIT"
] | 1 | 2022-02-17T19:56:44.000Z | 2022-02-17T19:56:44.000Z | import logging
from collections import Generator
from typing import Dict
from spanner import ems_spanner_client
from tenacity import retry, stop_after_attempt, wait_fixed
class SpannerChecker:
STOP_AFTER_ATTEMPT_SECS = 15
WAIT_FIXED = 3
def __init__(self, project_id: str, instance_id: str, db_name: str) -> None:
self._client = ems_spanner_client.EmsSpannerClient(project_id, instance_id, db_name)
def execute_sql(self, query: str) -> Generator:
logging.info(f"Executing query: {query}")
return self._client.execute_sql(query)
def execute_update(self, query: str):
logging.info(f"Executing update: {query}")
self._client.execute_update(query)
def has_row_for(self, table_name: str, conditions: Dict):
@retry(stop=stop_after_attempt(self.STOP_AFTER_ATTEMPT_SECS), wait=wait_fixed(self.WAIT_FIXED))
def is_found(query: str):
if list(self.execute_sql(query))[0][0] == 0:
raise ValueError("Spanner table row not found.")
return True
query = self._compose_query(table_name, conditions)
return is_found(query)
@staticmethod
def _compose_query(table_name, conditions) -> str:
normalized_conditions = []
for key, value in conditions.items():
quoted_value = f"'{value}'" if isinstance(value, str) else value
normalized_conditions.append(f'{key} = {quoted_value}')
where = ' AND '.join(normalized_conditions)
return f'SELECT COUNT(*) FROM {table_name} WHERE {where}'
| 37.309524 | 103 | 0.685386 | 203 | 1,567 | 5.029557 | 0.349754 | 0.03526 | 0.062684 | 0.039177 | 0.060725 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004878 | 0.215061 | 1,567 | 41 | 104 | 38.219512 | 0.825203 | 0 | 0 | 0 | 0 | 0 | 0.102106 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1875 | false | 0 | 0.15625 | 0 | 0.5625 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
fba184b6f53f7d77cbaf5e8e08d7ed47d47fd543 | 5,950 | py | Python | vgg16_imagenet.py | jamccomb92/TransferLearningPneuomia | d476cb89dc75e51ea7bbbea3542590fe0e74dfaa | [
"MIT"
] | null | null | null | vgg16_imagenet.py | jamccomb92/TransferLearningPneuomia | d476cb89dc75e51ea7bbbea3542590fe0e74dfaa | [
"MIT"
] | null | null | null | vgg16_imagenet.py | jamccomb92/TransferLearningPneuomia | d476cb89dc75e51ea7bbbea3542590fe0e74dfaa | [
"MIT"
] | null | null | null | \
import os
from keras import applications
import keras
import tensorflow as tf
import time
config = tf.ConfigProto()
config.gpu_options.allow_growth = True
keras.backend.tensorflow_backend.set_session(tf.Session(config=config))
from keras.models import Model
from keras.layers import Input, Conv2D, MaxPooling2D, Flatten, Dense, Dropout
from keras.preprocessing.image import ImageDataGenerator
from keras.optimizers import Adam,SGD
from keras.callbacks import ModelCheckpoint,CSVLogger
from keras import backend as k
DATASET_PATH = '/deepLearning/jamccomb/chest_xray/'
IMAGE_SIZE = (150,150)
NUM_CLASSES = 2
BATCH_SIZE = 32 # try reducing batch size or freeze more layers if your GPU runs out of memory
NUM_EPOCHS = 35
WEIGHTS_FINAL = 'model-transfer-Chest-MobileNet-000001--final.h5'
train_datagen = ImageDataGenerator( rescale=1.0 / 255.0,
rotation_range=40,
width_shift_range=0.2,
height_shift_range=0.2,
shear_range=0.2,
zoom_range=0.2,
channel_shift_range=10,
horizontal_flip=True,
fill_mode='nearest')
train_batches = train_datagen.flow_from_directory(DATASET_PATH + '/train',
target_size=IMAGE_SIZE,
interpolation='bicubic',
class_mode='categorical',
shuffle=True,
batch_size=BATCH_SIZE)
valid_datagen = ImageDataGenerator(rescale=1.0/255.0)
valid_batches = valid_datagen.flow_from_directory(DATASET_PATH + '/test',
target_size=IMAGE_SIZE,
interpolation='bicubic',
class_mode='categorical',
shuffle=False,
batch_size=BATCH_SIZE)
lrelu = lambda x: tensorflow.keras.activations.relu(x, alpha=0.1)
# Load VGG16 model architecture with the ImageNet weights
model = applications.VGG16(weights = "imagenet", include_top=False, input_shape=[150,150,3])
# Freeze the layers which you don't want to train. Here I am freezing the first 5 layers.
for layer in model.layers[:14]:
layer.trainable = False
# Build classifier
x = model.output
x = Flatten()(x)
x = Dense(32, activation="sigmoid")(x)
predictions = Dense(2, activation="softmax")(x)
#Use Adam optimizer (instead of plain SGD), set learning rate to explore.
adam = Adam(lr=.00001)
#instantiate model
model = Model(input=model.input, output=predictions)
#Compile model
model.compile(optimizer = adam, loss='categorical_crossentropy', metrics=['accuracy'])
#Print layers for resulting model
model.summary()
#Log training data into csv file
csv_logger = CSVLogger(filename="vgg16-imagenet-log.csv")
checkpointer = ModelCheckpoint(filepath='MobileNet/000001//weights.{epoch:02d}-{val_acc:.2f}.hdf5',monitor='val_loss', verbose=1, save_best_only=True, mode='min')
cblist = [csv_logger, checkpointer]
# train the model
model.fit_generator(train_batches,
steps_per_epoch = train_batches.samples // BATCH_SIZE,
validation_data = valid_batches,
validation_steps = valid_batches.samples // BATCH_SIZE,
epochs = NUM_EPOCHS,
callbacks=cblist)
# save trained model and weights
model.save(WEIGHTS_FINAL)
| 58.910891 | 271 | 0.381849 | 416 | 5,950 | 5.302885 | 0.461538 | 0.032638 | 0.012693 | 0.029918 | 0.12602 | 0.12602 | 0.094288 | 0.059837 | 0.059837 | 0.059837 | 0 | 0.031444 | 0.567059 | 5,950 | 100 | 272 | 59.5 | 0.824922 | 0.377143 | 0 | 0.123077 | 0 | 0 | 0.080486 | 0.052982 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.169231 | 0 | 0.169231 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
fba6946e547a329b3ac4d404e2ef31baf20b094f | 5,290 | py | Python | pxr/base/tf/testenv/testTfStringUtils.py | DougRogers-DigitalFish/USD | d8a405a1344480f859f025c4f97085143efacb53 | [
"BSD-2-Clause"
] | 3,680 | 2016-07-26T18:28:11.000Z | 2022-03-31T09:55:05.000Z | pxr/base/tf/testenv/testTfStringUtils.py | DougRogers-DigitalFish/USD | d8a405a1344480f859f025c4f97085143efacb53 | [
"BSD-2-Clause"
] | 1,759 | 2016-07-26T19:19:59.000Z | 2022-03-31T21:24:00.000Z | pxr/base/tf/testenv/testTfStringUtils.py | DougRogers-DigitalFish/USD | d8a405a1344480f859f025c4f97085143efacb53 | [
"BSD-2-Clause"
] | 904 | 2016-07-26T18:33:40.000Z | 2022-03-31T09:55:16.000Z | #!/pxrpythonsubst
#
# Copyright 2016 Pixar
#
# Licensed under the Apache License, Version 2.0 (the "Apache License")
# with the following modification; you may not use this file except in
# compliance with the Apache License and the following modification to it:
# Section 6. Trademarks. is deleted and replaced with:
#
# 6. Trademarks. This License does not grant permission to use the trade
# names, trademarks, service marks, or product names of the Licensor
# and its affiliates, except as required to comply with Section 4(c) of
# the License and to reproduce the content of the NOTICE file.
#
# You may obtain a copy of the Apache License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the Apache License with the above modification is
# distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the Apache License for the specific
# language governing permissions and limitations under the Apache License.
#
from pxr import Tf
import logging
import unittest
class TestStringUtils(unittest.TestCase):
"""
Test Tf String Utils (The python wrapped porting of the utility functions).
"""
def setUp(self):
self.log = logging.getLogger()
def test_StringSplit(self):
"""Testing StringSplit() function. This function is supposed to behave
like the split method on python string objects."""
self.log.info("Testing string split cases")
self.assertEqual([], Tf.StringSplit("",""))
self.assertEqual([], Tf.StringSplit("abcd",""))
self.assertEqual([], Tf.StringSplit("","ccc"))
s = "abcd"
self.assertEqual(s.split("a"), Tf.StringSplit(s, "a"))
self.assertEqual(s.split("b"), Tf.StringSplit(s, "b"))
self.assertEqual(s.split("c"), Tf.StringSplit(s, "c"))
self.assertEqual(s.split("d"), Tf.StringSplit(s, "d"))
self.assertEqual(s.split("abcd"), Tf.StringSplit(s, "abcd"))
self.assertEqual(s.split("ab"), Tf.StringSplit(s, "ab"))
s = "a:+b:+c:+d"
self.assertEqual(s.split(":+"), Tf.StringSplit(s, ":+"))
s = "a:+b:+c:d"
self.assertEqual(s.split(":+"), Tf.StringSplit(s, ":+"))
def test_Unicode(self):
"""Testing that we can pass python unicode objects to wrapped
functions expecting std::string"""
self.log.info("Testing unicode calls")
self.assertEqual(Tf.StringSplit('123', '2'), ['1', '3'])
self.assertEqual(Tf.StringSplit('123', u'2'), ['1', '3'])
self.assertEqual(Tf.StringSplit(u'123', '2'), ['1', '3'])
self.assertEqual(Tf.StringSplit(u'123', u'2'), ['1', '3'])
self.assertEqual(Tf.DictionaryStrcmp('apple', 'banana'), -1)
self.assertEqual(Tf.DictionaryStrcmp('apple', u'banana'), -1)
self.assertEqual(Tf.DictionaryStrcmp(u'apple', 'banana'), -1)
self.assertEqual(Tf.DictionaryStrcmp(u'apple', u'banana'), -1)
def test_StringToLong(self):
def checks(val):
self.assertEqual(Tf.StringToLong(repr(val)), val)
def checku(val):
self.assertEqual(Tf.StringToULong(repr(val)), val)
# A range of valid values.
for i in range(1000000):
checku(i)
for i in range(-500000, 500000):
checks(i)
# A wider range of valid values.
for i in range(0, 1000000000, 9337):
checks(i)
for i in range(-500000000, 500000000, 9337):
checks(i)
# Get the max/min values.
ulmax, lmax, lmin = (
Tf._GetULongMax(), Tf._GetLongMax(), Tf._GetLongMin())
# Check the extrema and one before to ensure they work.
for n in [ulmax-1, ulmax]:
checku(n)
for n in [lmin, lmin+1, lmax-1, lmax]:
checks(n)
# Check that some beyond the extrema over/underflow.
#
# Unsigned overflow.
for i in range(1, 1000):
with self.assertRaises(ValueError):
checku(ulmax + i)
with self.assertRaises(ValueError):
checks(lmax + i)
with self.assertRaises(ValueError):
checks(lmin - i)
def test_Identifiers(self):
self.assertFalse(Tf.IsValidIdentifier(''))
self.assertTrue(Tf.IsValidIdentifier('hello9'))
self.assertFalse(Tf.IsValidIdentifier('9hello'))
self.assertTrue(Tf.IsValidIdentifier('hello_world'))
self.assertTrue(Tf.IsValidIdentifier('HELLO_WORLD'))
self.assertTrue(Tf.IsValidIdentifier('hello_world_1234'))
self.assertFalse(Tf.IsValidIdentifier('hello_#world#_1234'))
self.assertFalse(Tf.IsValidIdentifier('h e l l o'))
self.assertEqual(Tf.MakeValidIdentifier(''), '_')
self.assertEqual(Tf.MakeValidIdentifier('hello9'), 'hello9')
self.assertEqual(Tf.MakeValidIdentifier('9hello'), '_hello')
self.assertEqual(
Tf.MakeValidIdentifier('hello_#world#_1234'), 'hello__world__1234')
self.assertFalse(Tf.IsValidIdentifier('h e l l o'), 'h_e_l_l_o')
self.assertFalse(Tf.IsValidIdentifier('!@#$%'), '_____')
if __name__ == '__main__':
unittest.main()
| 38.613139 | 79 | 0.633648 | 659 | 5,290 | 5.028832 | 0.308042 | 0.113156 | 0.087206 | 0.050694 | 0.288775 | 0.246228 | 0.204285 | 0.190706 | 0.12764 | 0.095051 | 0 | 0.030497 | 0.23138 | 5,290 | 136 | 80 | 38.897059 | 0.784555 | 0.286578 | 0 | 0.105263 | 0 | 0 | 0.093733 | 0 | 0 | 0 | 0 | 0 | 0.5 | 1 | 0.092105 | false | 0 | 0.039474 | 0 | 0.144737 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
fba6b995d133300dd22ec22078918d89b609c5b5 | 4,300 | py | Python | oui/return_arp.py | sukhjinderpalsingh/ansible | 07669bfc1e072af670f32a6ba037513c470caf8d | [
"Unlicense"
] | 4 | 2019-04-17T13:16:58.000Z | 2020-05-05T23:07:35.000Z | oui/return_arp.py | sukhjinderpalsingh/ansible | 07669bfc1e072af670f32a6ba037513c470caf8d | [
"Unlicense"
] | null | null | null | oui/return_arp.py | sukhjinderpalsingh/ansible | 07669bfc1e072af670f32a6ba037513c470caf8d | [
"Unlicense"
] | 1 | 2019-05-23T17:24:16.000Z | 2019-05-23T17:24:16.000Z | #!/usr/bin/python
import subprocess
import sys
import cgi
import datetime
import re
import requests
validMac = False
ERROR = False
form = cgi.FieldStorage()
user = "READONLY_USER_HERE"
pwd = "PASSWORD"
OUI = form.getvalue('OUI')
host = form.getvalue('HOST')
def formatOUI(OUI):
ot=OUI[0:2]
tf=OUI[2:4]
fs=OUI[5:7]
fmac = ot+":"+tf+":"+fs+":00:00:00"
return fmac
fOUI = formatOUI(OUI)
webCmd = "show ip arp | i {}".format(OUI[0:7])
def printHeader():
print "Content-type: text/html"
print ""
print "<html><head>"
print "<title>OUI Finder</title></head><body>"
print "<br />Time run: " + str(datetime.datetime.now()) + "<br>"
def checkInput():
pattern = re.compile('[a-fA-F0-9]{4}.[a-fA-F0-9]{2}')
if re.match(pattern,OUI[0:7]):
return True
else:
return False
def sanitize(outp):
item=[]
outp = outp.split('# STATS ')[0]
outp = outp.split(' * ')
del outp[0]
print "<BR>"
item = []
for i in outp:
entry = []
i = i.replace('changed=False','')
if "Internet" not in i:
entry.append(i.split(' ')[0])
else:
entry.append(i.split(' ')[0])
i = i.split(' Internet ')
del i[0]
for j in i:
j = j.split(' ')
j = [k for k in j if k]
del j[1]
del j[2]
entry.append(j)
item.append(entry)
return item
def displaySanitized(hosts):
totHosts = 0
for i in hosts:
if len(i)>1:
totHosts+=(len(i)-1)
print "<CENTER>"
print "Number of hosts found: " + str(totHosts)
print "<TABLE border='1' cellpadding='10'> "
for item in hosts:
if len(item) == 1:
print "<TR><TH colspan='3'>"
print item[0]
print "</TH></TR>"
print "<TR><TH>IP</TH><TH>MAC</TH><TH>VLAN</TH>"
print "<TR><TD colspan='3'>No hosts found</TD></TR>"
else:
print "<TR><TH colspan='3'>"
print item[0]
print "</TH></TR>"
print "<TR><TH>IP</TH><TH>MAC</TH><TH>VLAN</TH>"
for i in range(1,len(item)):
print "<TR><TD>"
print item[i][0]
print "</TD><TD>"
print item[i][1]
print "</TD><TD>"
print item[i][2]
print "</TD></TR>"
print "</TABLE>"
def executeCmd(host):
cmd = """ansible-playbook /ansible/plays/show_cmd.yml --limit '"""+host+"""' -e 'user="{0}" pass="{1}" cmd="{2}"' | sed 's/\\\\n/\\n/g'""".format(user,pwd,webCmd)
p = subprocess.Popen(cmd, stdout=subprocess.PIPE, shell=True)
outp = str(p.communicate()[0])
if 'Authentication failed.' in outp:
print "<CENTER><H1>***ERROR!***<br>Authentication failed.</H1><h3>Check credentials</h3></CENTER>"
displaySanitized(sanitize(outp))
def lookup(OUI):
MAC_URL = 'http://macvendors.co/api/%s'
r = requests.get(MAC_URL % OUI)
print "<CENTER><h3>Vendor Name: "+(r.json()['result']['company'])+"</h3></CENTER>"
printHeader()
validMac = checkInput()
if validMac == False:
print "<CENTER><h3>{} OUI not formatted correctly, please use xxxx.xx (Cisco format).</h3></CENTER>".format(OUI)
else:
try:
lookup(fOUI)
except:
ERROR = True
print "<CENTER>OUI not found in database!<br>Check and try again</CENTER>"
if ERROR == False:
executeCmd(host)
| 33.858268 | 172 | 0.428837 | 473 | 4,300 | 3.887949 | 0.331924 | 0.022839 | 0.019576 | 0.019576 | 0.109842 | 0.090266 | 0.069603 | 0.069603 | 0.069603 | 0.069603 | 0 | 0.022855 | 0.42 | 4,300 | 126 | 173 | 34.126984 | 0.714515 | 0.003721 | 0 | 0.165138 | 0 | 0.055046 | 0.238874 | 0.065672 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.018349 | 0.055046 | null | null | 0.293578 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
fbaa2cc659c7ec0bddf4650c7e382079513809ba | 3,192 | py | Python | darling_ansible/python_venv/lib/python3.7/site-packages/oci/monitoring/models/failed_metric_record.py | revnav/sandbox | f9c8422233d093b76821686b6c249417502cf61d | [
"Apache-2.0"
] | null | null | null | darling_ansible/python_venv/lib/python3.7/site-packages/oci/monitoring/models/failed_metric_record.py | revnav/sandbox | f9c8422233d093b76821686b6c249417502cf61d | [
"Apache-2.0"
] | null | null | null | darling_ansible/python_venv/lib/python3.7/site-packages/oci/monitoring/models/failed_metric_record.py | revnav/sandbox | f9c8422233d093b76821686b6c249417502cf61d | [
"Apache-2.0"
] | 1 | 2020-06-25T03:12:58.000Z | 2020-06-25T03:12:58.000Z | # coding: utf-8
# Copyright (c) 2016, 2020, Oracle and/or its affiliates. All rights reserved.
# This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license.
from oci.util import formatted_flat_dict, NONE_SENTINEL, value_allowed_none_or_none_sentinel # noqa: F401
from oci.decorators import init_model_state_from_kwargs
@init_model_state_from_kwargs
class FailedMetricRecord(object):
"""
The record of a single metric object that failed input validation and the reason for the failure.
"""
def __init__(self, **kwargs):
"""
Initializes a new FailedMetricRecord object with values from keyword arguments.
The following keyword arguments are supported (corresponding to the getters/setters of this class):
:param message:
The value to assign to the message property of this FailedMetricRecord.
:type message: str
:param metric_data:
The value to assign to the metric_data property of this FailedMetricRecord.
:type metric_data: MetricDataDetails
"""
self.swagger_types = {
'message': 'str',
'metric_data': 'MetricDataDetails'
}
self.attribute_map = {
'message': 'message',
'metric_data': 'metricData'
}
self._message = None
self._metric_data = None
@property
def message(self):
"""
**[Required]** Gets the message of this FailedMetricRecord.
An error message indicating the reason that the indicated metric object failed input validation.
:return: The message of this FailedMetricRecord.
:rtype: str
"""
return self._message
@message.setter
def message(self, message):
"""
Sets the message of this FailedMetricRecord.
An error message indicating the reason that the indicated metric object failed input validation.
:param message: The message of this FailedMetricRecord.
:type: str
"""
self._message = message
@property
def metric_data(self):
"""
**[Required]** Gets the metric_data of this FailedMetricRecord.
Identifier of a metric object that failed input validation.
:return: The metric_data of this FailedMetricRecord.
:rtype: MetricDataDetails
"""
return self._metric_data
@metric_data.setter
def metric_data(self, metric_data):
"""
Sets the metric_data of this FailedMetricRecord.
Identifier of a metric object that failed input validation.
:param metric_data: The metric_data of this FailedMetricRecord.
:type: MetricDataDetails
"""
self._metric_data = metric_data
def __repr__(self):
return formatted_flat_dict(self)
def __eq__(self, other):
if other is None:
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
return not self == other
| 31.294118 | 245 | 0.658835 | 378 | 3,192 | 5.383598 | 0.325397 | 0.088452 | 0.117936 | 0.055037 | 0.39656 | 0.274693 | 0.199509 | 0.199509 | 0.199509 | 0.199509 | 0 | 0.007739 | 0.271303 | 3,192 | 101 | 246 | 31.60396 | 0.867154 | 0.536028 | 0 | 0.057143 | 0 | 0 | 0.061139 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.228571 | false | 0 | 0.057143 | 0.057143 | 0.485714 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
fbaf22f54791d4657c17a86b0e49e13fd65f1463 | 7,614 | py | Python | options/train_options.py | fatalfeel/DeblurGAN | cc4ccf09d23b91389dbea70a34797cb80331819c | [
"BSD-3-Clause"
] | 3 | 2021-07-12T07:38:32.000Z | 2021-11-16T04:56:00.000Z | options/train_options.py | fatalfeel/DeblurGAN | cc4ccf09d23b91389dbea70a34797cb80331819c | [
"BSD-3-Clause"
] | 1 | 2021-11-03T09:57:31.000Z | 2021-11-04T03:00:49.000Z | options/train_options.py | fatalfeel/DeblurGAN | cc4ccf09d23b91389dbea70a34797cb80331819c | [
"BSD-3-Clause"
] | null | null | null | import os
import torch
import argparse
from util import util
def str2bool(b_str):
if b_str.lower() in ('yes', 'true', 't', 'y', '1'):
return True
elif b_str.lower() in ('no', 'false', 'f', 'n', '0'):
return False
class TrainOptions():
def __init__(self):
self.parser = argparse.ArgumentParser()
self.parser.add_argument('--dataroot', type=str, default='./data/combined', help='path to images (should have subfolders train, val, test)')
self.parser.add_argument('--batchSize', type=int, default=1, help='input batch size')
self.parser.add_argument('--loadSizeX', type=int, default=640, help='scale images to this size')
self.parser.add_argument('--loadSizeY', type=int, default=360, help='scale images to this size')
self.parser.add_argument('--fineSize', type=int, default=256, help='then crop to this size')
self.parser.add_argument('--input_nc', type=int, default=3, help='# of input image channels')
self.parser.add_argument('--output_nc', type=int, default=3, help='# of output image channels')
self.parser.add_argument('--ngf', type=int, default=64, help='# of gen filters in first conv layer')
self.parser.add_argument('--ndf', type=int, default=64, help='# of discrim filters in first conv layer')
self.parser.add_argument('--which_model_netG', type=str, default='RESNET', help='RESNET, FPN50, FPN101, FPN152')
self.parser.add_argument('--learn_residual', type=str2bool, default=True, help='if specified, model would learn only the residual to the input')
self.parser.add_argument('--resume', type=str2bool, default=False, help='continue training')
self.parser.add_argument('--gan_type', type=str, default='gan', help='gan is faster, wgan-gp is stable')
self.parser.add_argument('--n_layers_D', type=int, default=3, help='only used if which_model_netD==n_layers')
self.parser.add_argument('--n_layers_G', type=int, default=3, help='2 layers features 2^6~2^8, 3 layers features 2^6~2^9')
self.parser.add_argument('--n_blocks_G', type=int, default=12, help='ResnetBlocks at 6, 9, 12...')
#self.parser.add_argument('--gpu_ids', type=str, default='0', help='gpu ids: e.g. 0 0,1,2, 0,2. use -1 for CPU')
self.parser.add_argument('--cuda', type=str2bool, default=False, help='using gpu training')
self.parser.add_argument('--dataset_mode', type=str, default='aligned', help='chooses how datasets are loaded. [unaligned | aligned | single]')
self.parser.add_argument('--model', type=str, default='content_gan', help='chooses which model to use. content_gan, pix2pix, test')
self.parser.add_argument('--which_direction', type=str, default='AtoB', help='AtoB or BtoA')
self.parser.add_argument('--nThreads', type=int, default=1, help='# threads for loading data')
self.parser.add_argument('--checkpoints_dir', type=str, default='./checkpoint', help='models are saved here')
self.parser.add_argument('--norm', type=str, default='instance', help='instance normalization or batch normalization')
self.parser.add_argument('--serial_batches', action='store_true', help='if true, takes images in order to make batches, otherwise takes them randomly')
self.parser.add_argument('--display_winsize', type=int, default=256, help='display window size')
self.parser.add_argument('--display_id', type=int, default=-1, help='window id of the web display')
self.parser.add_argument('--display_port', type=int, default=8097, help='visdom port of the web display')
self.parser.add_argument('--display_single_pane_ncols', type=int, default=0, help='if positive, display all images in a single visdom web panel with certain number of images per row.')
self.parser.add_argument('--no_dropout', action='store_true', help='no dropout for the generator')
self.parser.add_argument('--max_dataset_size', type=int, default=float("inf"), help='Maximum number of samples allowed per dataset. If the dataset directory contains more than max_dataset_size, only a subset is loaded.')
self.parser.add_argument('--resize_or_crop', type=str, default='crop', help='scaling and cropping of images at load time [resize_and_crop|crop|scale_width|scale_width_and_crop]')
self.parser.add_argument('--no_flip', action='store_true', help='if specified, do not flip the images for data augmentation')
self.parser.add_argument('--display_freq', type=int, default=100, help='frequency of showing training results on screen')
self.parser.add_argument('--print_freq', type=int, default=20, help='frequency of showing training results on console')
self.parser.add_argument('--save_epoch_freq', type=int, default=10, help='frequency of saving checkpoints at the end of epochs')
self.parser.add_argument('--phase', type=str, default='train', help='train, val, test, etc')
self.parser.add_argument('--e_epoch', type=int, default=2000, help='number repeat to train')
self.parser.add_argument('--beta1', type=float, default=0.5, help='momentum term of adam')
self.parser.add_argument('--lr', type=float, default=0.00001, help='initial learning rate for adam')
self.parser.add_argument('--content_weight', type=float, default=100.0, help='fast-neural-style content weight')
self.parser.add_argument('--pool_size', type=int, default=50, help='the size of image buffer that stores previously generated images')
self.parser.add_argument('--no_html', action='store_true', help='do not save intermediate training results to [opt.checkpoints_dir]/[opt.name]/web/')
self.isTrain = True
def GetOption(self):
self.opt = self.parser.parse_args()
self.opt.isTrain = self.isTrain #train or test
args = vars(self.opt)
print('------------ Options -------------')
for k, v in sorted(args.items()):
print('%s: %s' % (str(k), str(v)))
#print('-------------- End ----------------')
# save to the disk
#expr_dir = os.path.join(self.opt.checkpoints_dir, self.opt.name)
expr_dir = self.opt.checkpoints_dir
util.mkdirs(expr_dir)
file_name = os.path.join(expr_dir, 'opt.txt')
with open(file_name, 'wt') as opt_file:
opt_file.write('------------ Options -------------\n')
for k, v in sorted(args.items()):
opt_file.write('%s: %s\n' % (str(k), str(v)))
opt_file.write('-------------- End ----------------\n')
return self.opt
| 89.576471 | 237 | 0.582217 | 950 | 7,614 | 4.542105 | 0.283158 | 0.104287 | 0.129548 | 0.20927 | 0.295249 | 0.146698 | 0.107764 | 0.061645 | 0.061645 | 0.021321 | 0 | 0.016863 | 0.275676 | 7,614 | 84 | 238 | 90.642857 | 0.765549 | 0.03638 | 0 | 0.028169 | 0 | 0.028169 | 0.343972 | 0.019776 | 0 | 0 | 0 | 0 | 0 | 1 | 0.042254 | false | 0 | 0.056338 | 0 | 0.15493 | 0.042254 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
fbb17de1e27a39093c5016a288d1b4d494da72ba | 2,227 | py | Python | backend/app/literature/schemas/cross_reference_schemas.py | alliance-genome/agr_literature_service | 2278316422d5c3ab65e21bb97d91e861e48853c5 | [
"MIT"
] | null | null | null | backend/app/literature/schemas/cross_reference_schemas.py | alliance-genome/agr_literature_service | 2278316422d5c3ab65e21bb97d91e861e48853c5 | [
"MIT"
] | 39 | 2021-10-18T17:02:49.000Z | 2022-03-28T20:56:24.000Z | backend/app/literature/schemas/cross_reference_schemas.py | alliance-genome/agr_literature_service | 2278316422d5c3ab65e21bb97d91e861e48853c5 | [
"MIT"
] | 1 | 2021-10-21T00:11:18.000Z | 2021-10-21T00:11:18.000Z | from typing import List, Optional
from pydantic import BaseModel
from pydantic import validator
class CrossReferenceSchemaRelated(BaseModel):
curie: str
pages: Optional[List[str]] = None
is_obsolete: Optional[bool] = None
@validator('curie')
def name_must_contain_space(cls, v):
if v.count(":") != 1 and not v.startswith("DOI:"):
raise ValueError('must contain a single colon')
return v
class Config():
orm_mode = True
extra = "forbid"
schema_extra = {
"example": {
"curie": "MOD:curie",
"pages": [
"reference"
]
}
}
class CrossReferenceSchemaPost(CrossReferenceSchemaRelated):
resource_curie: Optional[str] = None
reference_curie: Optional[str] = None
class Config():
orm_mod = True
extra = "forbid"
schema_extra = {
"example": {
"curie": "MOD:curie",
"pages": [
"reference"
],
"reference_curie": "AGR:AGRReference<number>"
}
}
class CrossReferencePageSchemaShow(BaseModel):
name: Optional[str] = None
url: Optional[str] = None
class Config():
orm_mode = True
extra = "forbid"
class CrossReferenceSchemaShow(BaseModel):
curie: str
url: Optional[str] = None
pages: Optional[List[CrossReferencePageSchemaShow]] = None
is_obsolete: bool
class CrossReferenceSchema(BaseModel):
curie: str
pages: Optional[List[CrossReferencePageSchemaShow]] = None
url: Optional[str] = None
is_obsolete: Optional[bool] = False
resource_curie: Optional[str] = None
reference_curie: Optional[str] = None
author_ids: Optional[List[int]] = None
editor_ids: Optional[List[int]] = None
class Config():
orm_mode = True
extra = "forbid"
class CrossReferenceSchemaUpdate(BaseModel):
pages: Optional[List[str]] = None
resource_curie: Optional[str] = None
reference_curie: Optional[str] = None
is_obsolete: Optional[bool] = None
class Config():
orm_mode = True
extra = "forbid"
| 24.472527 | 62 | 0.594073 | 216 | 2,227 | 6.018519 | 0.287037 | 0.064615 | 0.115385 | 0.092308 | 0.592308 | 0.473077 | 0.401538 | 0.316923 | 0.288462 | 0.223846 | 0 | 0.000645 | 0.303996 | 2,227 | 90 | 63 | 24.744444 | 0.838065 | 0 | 0 | 0.608696 | 0 | 0 | 0.07903 | 0.010777 | 0 | 0 | 0 | 0 | 0 | 1 | 0.014493 | false | 0 | 0.043478 | 0 | 0.565217 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
fbb43010f529aa881832d163b127b8c90dbb0317 | 4,445 | py | Python | syft_proto/frameworks/crypten/onnx_model_pb2.py | vkkhare/syft-proto | 513b4af50d7476bd5b1ff9dfb6da8528100f961d | [
"Apache-2.0"
] | null | null | null | syft_proto/frameworks/crypten/onnx_model_pb2.py | vkkhare/syft-proto | 513b4af50d7476bd5b1ff9dfb6da8528100f961d | [
"Apache-2.0"
] | null | null | null | syft_proto/frameworks/crypten/onnx_model_pb2.py | vkkhare/syft-proto | 513b4af50d7476bd5b1ff9dfb6da8528100f961d | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: syft_proto/frameworks/crypten/onnx_model.proto
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
from syft_proto.types.syft.v1 import id_pb2 as syft__proto_dot_types_dot_syft_dot_v1_dot_id__pb2
DESCRIPTOR = _descriptor.FileDescriptor(
name='syft_proto/frameworks/crypten/onnx_model.proto',
package='syft_proto.frameworks.torch.tensors.interpreters.v1',
syntax='proto3',
serialized_options=b'\n@org.openmined.syftproto.frameworks.torch.tensors.interpreters.v1',
create_key=_descriptor._internal_create_key,
serialized_pb=b'\n.syft_proto/frameworks/crypten/onnx_model.proto\x12\x33syft_proto.frameworks.torch.tensors.interpreters.v1\x1a!syft_proto/types/syft/v1/id.proto\"\x9a\x01\n\tOnnxModel\x12,\n\x02id\x18\x01 \x01(\x0b\x32\x1c.syft_proto.types.syft.v1.IdR\x02id\x12)\n\x10serialized_model\x18\x02 \x01(\x0cR\x0fserializedModel\x12\x12\n\x04tags\x18\x03 \x03(\tR\x04tags\x12 \n\x0b\x64\x65scription\x18\x04 \x01(\tR\x0b\x64\x65scriptionBB\n@org.openmined.syftproto.frameworks.torch.tensors.interpreters.v1b\x06proto3'
,
dependencies=[syft__proto_dot_types_dot_syft_dot_v1_dot_id__pb2.DESCRIPTOR,])
_ONNXMODEL = _descriptor.Descriptor(
name='OnnxModel',
full_name='syft_proto.frameworks.torch.tensors.interpreters.v1.OnnxModel',
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name='id', full_name='syft_proto.frameworks.torch.tensors.interpreters.v1.OnnxModel.id', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, json_name='id', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='serialized_model', full_name='syft_proto.frameworks.torch.tensors.interpreters.v1.OnnxModel.serialized_model', index=1,
number=2, type=12, cpp_type=9, label=1,
has_default_value=False, default_value=b"",
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, json_name='serializedModel', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='tags', full_name='syft_proto.frameworks.torch.tensors.interpreters.v1.OnnxModel.tags', index=2,
number=3, type=9, cpp_type=9, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, json_name='tags', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='description', full_name='syft_proto.frameworks.torch.tensors.interpreters.v1.OnnxModel.description', index=3,
number=4, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, json_name='description', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
],
serialized_start=139,
serialized_end=293,
)
_ONNXMODEL.fields_by_name['id'].message_type = syft__proto_dot_types_dot_syft_dot_v1_dot_id__pb2._ID
DESCRIPTOR.message_types_by_name['OnnxModel'] = _ONNXMODEL
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
OnnxModel = _reflection.GeneratedProtocolMessageType('OnnxModel', (_message.Message,), {
'DESCRIPTOR' : _ONNXMODEL,
'__module__' : 'syft_proto.frameworks.crypten.onnx_model_pb2'
# @@protoc_insertion_point(class_scope:syft_proto.frameworks.torch.tensors.interpreters.v1.OnnxModel)
})
_sym_db.RegisterMessage(OnnxModel)
DESCRIPTOR._options = None
# @@protoc_insertion_point(module_scope)
| 46.302083 | 516 | 0.783127 | 593 | 4,445 | 5.541315 | 0.22597 | 0.046561 | 0.063603 | 0.103469 | 0.574559 | 0.555691 | 0.493914 | 0.443701 | 0.366403 | 0.366403 | 0 | 0.031227 | 0.099438 | 4,445 | 95 | 517 | 46.789474 | 0.789658 | 0.068841 | 0 | 0.266667 | 1 | 0.013333 | 0.285092 | 0.247338 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.066667 | 0 | 0.066667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
fbbc5a0d2746e83d3a087caa18124913a0952155 | 519 | py | Python | src/main/resources/pytz/zoneinfo/Asia/Brunei.py | TheEin/swagger-maven-plugin | cf93dce2d5c8d3534f4cf8c612b11e2d2313871b | [
"Apache-2.0"
] | 65 | 2015-11-14T13:46:01.000Z | 2021-08-14T05:54:04.000Z | lib/pytz/zoneinfo/Asia/Brunei.py | tjsavage/polymer-dashboard | 19bc467f1206613f8eec646b6f2bc43cc319ef75 | [
"CNRI-Python",
"Linux-OpenIB"
] | 13 | 2016-03-31T20:00:17.000Z | 2021-08-20T14:52:31.000Z | lib/pytz/zoneinfo/Asia/Brunei.py | tjsavage/polymer-dashboard | 19bc467f1206613f8eec646b6f2bc43cc319ef75 | [
"CNRI-Python",
"Linux-OpenIB"
] | 20 | 2015-03-18T08:41:37.000Z | 2020-12-18T02:58:30.000Z | '''tzinfo timezone information for Asia/Brunei.'''
from pytz.tzinfo import DstTzInfo
from pytz.tzinfo import memorized_datetime as d
from pytz.tzinfo import memorized_ttinfo as i
class Brunei(DstTzInfo):
'''Asia/Brunei timezone definition. See datetime.tzinfo for details'''
zone = 'Asia/Brunei'
_utc_transition_times = [
d(1,1,1,0,0,0),
d(1926,2,28,16,20,20),
d(1932,12,31,16,30,0),
]
_transition_info = [
i(27600,0,'LMT'),
i(27000,0,'BNT'),
i(28800,0,'BNT'),
]
Brunei = Brunei()
| 20.76 | 74 | 0.674374 | 82 | 519 | 4.182927 | 0.5 | 0.087464 | 0.122449 | 0.174927 | 0.169096 | 0 | 0 | 0 | 0 | 0 | 0 | 0.116009 | 0.169557 | 519 | 24 | 75 | 21.625 | 0.679814 | 0.210019 | 0 | 0 | 0 | 0 | 0.050251 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.1875 | 0 | 0.4375 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
fbbc6e1e7a5fe37234c1f6cec6987abfae3a501e | 4,184 | py | Python | raiden/tests/unit/test_messages.py | ConsenSysMesh/raiden | 76510e5535fa0a1ceb26107b560f805f3d7d26d9 | [
"MIT"
] | 3 | 2017-04-24T01:09:28.000Z | 2017-05-26T18:32:34.000Z | raiden/tests/unit/test_messages.py | ConsenSysMesh/raiden | 76510e5535fa0a1ceb26107b560f805f3d7d26d9 | [
"MIT"
] | 1 | 2021-10-31T12:41:15.000Z | 2021-10-31T12:41:15.000Z | raiden/tests/unit/test_messages.py | isabella232/raiden | 76510e5535fa0a1ceb26107b560f805f3d7d26d9 | [
"MIT"
] | 1 | 2021-10-31T12:05:52.000Z | 2021-10-31T12:05:52.000Z | # -*- coding: utf-8 -*-
import pytest
from raiden.messages import Ping, Ack, decode, Lock, MediatedTransfer
from raiden.utils import make_privkey_address, sha3
PRIVKEY, ADDRESS = make_privkey_address()
def test_signature():
ping = Ping(nonce=0)
ping.sign(PRIVKEY, ADDRESS)
assert ping.sender == ADDRESS
def test_encoding():
ping = Ping(nonce=0)
ping.sign(PRIVKEY, ADDRESS)
decoded_ping = decode(ping.encode())
assert isinstance(decoded_ping, Ping)
assert decoded_ping.sender == ADDRESS == ping.sender
assert ping.nonce == decoded_ping.nonce
assert ping.signature == decoded_ping.signature
assert ping.cmdid == decoded_ping.cmdid
assert ping.hash == decoded_ping.hash
def test_hash():
ping = Ping(nonce=0)
ping.sign(PRIVKEY, ADDRESS)
data = ping.encode()
msghash = sha3(data)
decoded_ping = decode(data)
assert sha3(decoded_ping.encode()) == msghash
def test_ack():
echo = sha3(PRIVKEY)
ack = Ack(ADDRESS, echo)
assert ack.echo == echo
data = ack.encode()
msghash = sha3(data)
decoded_ack = decode(data)
assert decoded_ack.echo == ack.echo
assert decoded_ack.sender == ack.sender
assert sha3(decoded_ack.encode()) == msghash
def test_mediated_transfer():
nonce = balance = 1
token = recipient = target = initiator = ADDRESS
hashlock = locksroot = sha3(ADDRESS)
amount = expiration = 1
fee = 0
lock = Lock(amount, expiration, hashlock)
mediated_transfer = MediatedTransfer(
1, # TODO: fill in identifier
nonce,
token,
balance,
recipient,
locksroot,
lock,
target,
initiator,
fee,
)
assert roundtrip_serialize_mediated_transfer(mediated_transfer)
def make_lock_with_amount(amount):
return Lock(amount, 1, "a" * 32)
def make_mediated_transfer_with_amount(amount):
return MediatedTransfer(
0,
1,
ADDRESS,
amount,
ADDRESS,
"",
make_lock_with_amount(amount),
ADDRESS,
ADDRESS,
0
)
def make_mediated_transfer_with_nonce(nonce):
return MediatedTransfer(
0,
nonce,
ADDRESS,
1,
ADDRESS,
"",
make_lock_with_amount(1),
ADDRESS,
ADDRESS,
0
)
def make_mediated_transfer_with_fee(fee):
return MediatedTransfer(
0,
1,
ADDRESS,
1,
ADDRESS,
"",
make_lock_with_amount(1),
ADDRESS,
ADDRESS,
fee
)
def roundtrip_serialize_mediated_transfer(mediated_transfer):
mediated_transfer.sign(PRIVKEY, ADDRESS)
decoded_mediated_transfer = decode(mediated_transfer.encode())
assert decoded_mediated_transfer == mediated_transfer
return True
@pytest.mark.parametrize("amount", [-1, 2 ** 256])
@pytest.mark.parametrize("make", [make_lock_with_amount,
make_mediated_transfer_with_amount])
def test_amount_out_of_bounds(amount, make):
with pytest.raises(ValueError):
make(amount)
@pytest.mark.parametrize("amount", [0, 2 ** 256 - 1])
def test_mediated_transfer_amount_min_max(amount):
mediated_transfer = make_mediated_transfer_with_amount(amount)
assert roundtrip_serialize_mediated_transfer(mediated_transfer)
@pytest.mark.parametrize("nonce", [2 ** 64])
def test_mediated_transfer_nonce_out_of_bounds(nonce):
with pytest.raises(ValueError):
make_mediated_transfer_with_nonce(nonce)
@pytest.mark.parametrize("nonce", [2 ** 64 - 1])
def test_mediated_transfer_nonce_max(nonce):
mediated_transfer = make_mediated_transfer_with_nonce(nonce)
assert roundtrip_serialize_mediated_transfer(mediated_transfer)
@pytest.mark.parametrize("fee", [2 ** 256])
def test_mediated_transfer_fee_out_of_bounds(fee):
with pytest.raises(ValueError):
make_mediated_transfer_with_fee(fee)
@pytest.mark.parametrize("fee", [0, 2 ** 256 - 1])
def test_mediated_transfer_fee_min_max(fee):
mediated_transfer = make_mediated_transfer_with_fee(fee)
assert roundtrip_serialize_mediated_transfer(mediated_transfer)
| 25.668712 | 70 | 0.675908 | 493 | 4,184 | 5.462475 | 0.144016 | 0.202005 | 0.06684 | 0.080208 | 0.500186 | 0.372818 | 0.261418 | 0.261418 | 0.092833 | 0.092833 | 0 | 0.017653 | 0.22825 | 4,184 | 162 | 71 | 25.82716 | 0.816352 | 0.010994 | 0 | 0.354331 | 0 | 0 | 0.007981 | 0 | 0 | 0 | 0 | 0.006173 | 0.133858 | 1 | 0.125984 | false | 0 | 0.023622 | 0.031496 | 0.188976 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
fbbdd496f48c965142da201326e11323ba150849 | 6,428 | py | Python | python/helpful_scripts/circle_packing.py | Oilgrim/ivs_sim | 95dc017ef2aec32173e73dc397ba00177d4f92ce | [
"MIT"
] | null | null | null | python/helpful_scripts/circle_packing.py | Oilgrim/ivs_sim | 95dc017ef2aec32173e73dc397ba00177d4f92ce | [
"MIT"
] | null | null | null | python/helpful_scripts/circle_packing.py | Oilgrim/ivs_sim | 95dc017ef2aec32173e73dc397ba00177d4f92ce | [
"MIT"
] | 1 | 2019-08-07T03:16:47.000Z | 2019-08-07T03:16:47.000Z | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Wed Jul 5 12:41:09 2017
@author: lracuna
"""
#!/usr/bin/env python
"""
This program uses a simple implementation of the ADMM algorithm to solve
the circle packing problem.
We solve
minimize 1
subject to |x_i - x_j| > 2R,
R < x_i, y_i < L - R
We put a bunch of equal radius balls inside a square.
Type --help to see the options of the program.
Must create a directory .figs.
Guilherme Franca
guifranca@gmail.com
November 2015
"""
import sys, os, optparse
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.patches import Rectangle, Circle
def nonoverlap(a, i, omega, R):
"""No overlap constraint.
This function receives a 1D array which is the row of a matrix.
Each element is a vector. i is which row we are passing.
"""
nonzeroi = np.nonzero(omega[i])[0]
x = a
n1, n2 = a[nonzeroi]
vec = n1 - n2
norm = np.linalg.norm(vec)
if norm < 2*R: # push the balls appart
disp = R - norm/2
x[nonzeroi] = n1 + (disp/norm)*vec, n2 - (disp/norm)*vec
return x
def insidebox(a, i, omega, R, L):
"""Keep the balls inside the box."""
j = np.nonzero(omega[i])[0][0]
x = a
n = a[j]
if n[0] < R:
x[j,0] = R
elif n[0] > L-R:
x[j,0] = L-R
if n[1] < R:
x[j,1] = R
elif n[1] > L-R:
x[j,1] = L-R
return x
def make_graph(t, z, imgpath, R, L):
"""Create a plot of a given time.
z contains a list of vectors with the position of the center of
each ball. t is the iteration time.
"""
fig = plt.figure()
ax = fig.add_subplot(1, 1, 1)
fig.suptitle('t=%i' % t)
ax.add_patch(Rectangle((0,0), L, L, fill=False,
linestyle='solid', linewidth=2, color='blue'))
plt.xlim(-0.5, L+0.5)
plt.ylim(-0.5, L+0.5)
plt.axes().set_aspect('equal')
colors = iter(plt.cm.prism_r(np.linspace(0,1,N)))
for x in z:
c = next(colors)
ax.add_patch(Circle(x, radius=R, color=c, alpha=.6))
plt.axis('off')
fig.tight_layout()
fig.savefig(imgpath % t, format='png')
print imgpath
plt.close(fig)
def make_omega(N):
"""Topology matrix
Columns label variables, and rows the functions.
You must order all the "nonoverlap" functions first
and the "inside box" function last.
We also create a vectorized version of omega.
"""
o1 = []
o2 = []
one = np.array([1,1])
zero = np.array([0,0])
# TODO: this is the most expensive way of creating these matrices.
# Maybe improve this.
for i in range(N):
for j in range(i+1, N):
row1 = [0]*N
row1[i], row1[j] = 1, 1
o1.append(row1)
row2 = [zero]*N
row2[i], row2[j] = one, one
o2.append(row2)
for i in range(N):
row = [0]*N
row[i] = 1
o1.append(row)
row2 = [zero]*N
row2[i] = one
o2.append(row2)
o1 = np.array(o1)
o2 = np.array(o2)
return o1, o2
###############################################################################
if __name__ == '__main__':
usg = "%prog -L box -R radius -N balls -M iter [-r rate -o output]"
dsc = "Use ADMM optimization algorithm to fit balls into a box."
parser = optparse.OptionParser(usage=usg, description=dsc)
parser.add_option('-L', '--box_size', action='store', dest='L',
type='float', help='size of the box')
parser.add_option('-R', '--radius', action='store', dest='R',
type='float', help='radius of the balls')
parser.add_option('-N', '--num_balls', action='store', dest='N',
type='int', help='number of balls')
parser.add_option('-M', '--iter', action='store', dest='M',
type='int', help='number of iterations')
parser.add_option('-r', '--rate', action='store', dest='rate',
default=10, type='float', help='frame rate for the movie')
parser.add_option('-o', '--output', action='store', dest='out',
default='out.mp4', type='str', help='movie output file')
parser.add_option('-a', '--alpha', action='store', dest='alpha',
default=0.05, type='float', help='alpha parameter')
parser.add_option('-p', '--rho', action='store', dest='rho',
default=0.5, type='float', help='rho parameter')
options, args = parser.parse_args()
if not options.L:
parser.error("-L option is mandatory")
if not options.R:
parser.error("-R option is mandatory")
if not options.N:
parser.error("-N option is mandatory")
if not options.M:
parser.error("-M option is mandatory")
# initialization
L = options.L
R = options.R
N = options.N
max_iter = options.M
rate = options.rate
output = options.out
omega, omega_vec = make_omega(N)
num_funcs = len(omega)
num_vars = len(omega[0])
s = (num_funcs, num_vars, 2)
alpha = float(options.alpha)
x = np.ones(s)*omega_vec
z = np.random.random_sample(size=(num_vars, 2))+\
(L/2.)*np.ones((num_vars, 2))
zz = np.array([z]*num_funcs)*omega_vec
u = np.ones(s)*omega_vec
n = np.ones(s)*omega_vec
rho = float(options.rho)*omega_vec
# performing optimization
if not os.path.exists('.figs'):
os.makedirs('.figs')
os.system("rm -rf .figs/*")
imgpath = '.figs/fig%04d.png'
for k in range(max_iter):
n = zz - u
# proximal operator
for i in range(num_funcs):
if i < num_funcs - num_vars:
x[i] = nonoverlap(n[i], i, omega, R)
else:
x[i] = insidebox(n[i], i, omega, R, L)
m = x + u
z = np.sum(rho*m, axis=0)/np.sum(rho, axis=0)
zz = np.array([z]*num_funcs)*omega_vec
u = u + alpha*(x-zz)
if k == (max_iter-1):
make_graph(k, z, imgpath, R, L)
print "doing %i/%i" % (k, max_iter)
print "Generating animation '%s' ..." % (output)
os.system("ffmpeg -y -r %f -sameq -i %s %s > /dev/null 2>&1" % \
(rate, imgpath, output))
#os.system("rm -rf .figs/*")
#os.rmdir('.figs')
print "Done!"
print "Playing ..."
os.system("mplayer %s > /dev/null 2>&1" % output) | 31.665025 | 79 | 0.549471 | 970 | 6,428 | 3.583505 | 0.293814 | 0.020713 | 0.034522 | 0.009494 | 0.113349 | 0.045167 | 0.015535 | 0.015535 | 0.015535 | 0 | 0 | 0.024178 | 0.285781 | 6,428 | 203 | 80 | 31.665025 | 0.732956 | 0.042159 | 0 | 0.086331 | 0 | 0.014388 | 0.14297 | 0 | 0 | 0 | 0 | 0.004926 | 0 | 0 | null | null | 0 | 0.028777 | null | null | 0.035971 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
fbceb552efb8ef0ad3ab8ba19aa7104619c9f206 | 495 | py | Python | Python/CeV/Exercicios/ex71.py | WerickL/Learning | 5a9a488f0422454e612439b89093d5bc11242e65 | [
"MIT"
] | null | null | null | Python/CeV/Exercicios/ex71.py | WerickL/Learning | 5a9a488f0422454e612439b89093d5bc11242e65 | [
"MIT"
] | null | null | null | Python/CeV/Exercicios/ex71.py | WerickL/Learning | 5a9a488f0422454e612439b89093d5bc11242e65 | [
"MIT"
] | null | null | null | Val = int(input('Digite o valor que você quer sacar:'))
c50 = c20 = c10 = c1 = 0
if Val // 50 != 0:
c50 = Val // 50
Val = Val % 50
if Val // 20 != 0:
c20 = Val // 20
Val = Val % 20
if Val // 10 != 0:
c10 = Val // 10
Val = Val % 10
if Val // 1 != 0:
c1 = Val // 1
if c50 != 0:
print(f'{c50} Cédulas de R$50.00')
if c20 != 0:
print(f'{c20} Cédulas de R$20.00')
if c10 != 0:
print(f'{c10} Cédulas de R$10.00')
if c1 != 0:
print(f'{c1} Cédulas de R$1.00') | 23.571429 | 55 | 0.50303 | 96 | 495 | 2.59375 | 0.270833 | 0.080321 | 0.11245 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.209913 | 0.307071 | 495 | 21 | 56 | 23.571429 | 0.516035 | 0 | 0 | 0 | 0 | 0 | 0.260081 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.190476 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
fbd0e3db5f9cf99e22751e706aab58c1843471e9 | 801 | bzl | Python | model/oppia_proto_library.bzl | bhaktideshmukh/oppia-android | 94626909570ddbbd06d2cd691b49f357b986db0f | [
"Apache-2.0"
] | null | null | null | model/oppia_proto_library.bzl | bhaktideshmukh/oppia-android | 94626909570ddbbd06d2cd691b49f357b986db0f | [
"Apache-2.0"
] | null | null | null | model/oppia_proto_library.bzl | bhaktideshmukh/oppia-android | 94626909570ddbbd06d2cd691b49f357b986db0f | [
"Apache-2.0"
] | null | null | null | """
Bazel macros for defining proto libraries.
"""
load("@rules_proto//proto:defs.bzl", "proto_library")
# TODO(#4096): Remove this once it's no longer needed.
def oppia_proto_library(name, **kwargs):
"""
Defines a new proto library.
Note that the library is defined with a stripped import prefix which ensures that protos have a
common import directory (which is needed since Gradle builds protos in the same directory
whereas Bazel doesn't by default). This common import directory is needed for cross-proto
textprotos to work correctly.
Args:
name: str. The name of the proto library.
**kwargs: additional parameters to pass into proto_library.
"""
proto_library(
name = name,
strip_import_prefix = "",
**kwargs
)
| 30.807692 | 99 | 0.689139 | 110 | 801 | 4.945455 | 0.6 | 0.132353 | 0.058824 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006504 | 0.23221 | 801 | 25 | 100 | 32.04 | 0.878049 | 0.684145 | 0 | 0 | 0 | 0 | 0.20398 | 0.139303 | 0 | 0 | 0 | 0.04 | 0 | 1 | 0.142857 | false | 0 | 0.142857 | 0 | 0.285714 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
fbd4f1c85388584979a3225e172df289b9b181ba | 1,761 | py | Python | mods/goofile.py | Natto97/discover | 101d5457bad9345598720a49e4323b047030e496 | [
"MIT"
] | 1 | 2018-08-11T10:28:00.000Z | 2018-08-11T10:28:00.000Z | mods/goofile.py | Natto97/discover | 101d5457bad9345598720a49e4323b047030e496 | [
"MIT"
] | null | null | null | mods/goofile.py | Natto97/discover | 101d5457bad9345598720a49e4323b047030e496 | [
"MIT"
] | 1 | 2018-11-02T18:33:00.000Z | 2018-11-02T18:33:00.000Z | #!/usr/bin/env python
# Goofile v1.5a
# by Thomas (G13) Richards
# www.g13net.com
# Project Page: code.google.com/p/goofile
# TheHarvester used for inspiration
# A many thanks to the Edge-Security team!
# Modified by Lee Baird
import getopt
import httplib
import re
import string
import sys
global result
result =[]
def usage():
print "\nusage: goofile <options>"
print " -d: domain"
print " -f: filetype\n"
print "example: goofile.py -d target.com -f txt\n\n"
sys.exit()
def run(domain,file):
h = httplib.HTTP('www.google.com')
h.putrequest('GET',"/search?num=500&q=site:"+domain+"+filetype:"+file)
h.putheader('Host', 'www.google.com')
h.putheader('User-agent', 'Internet Explorer 6.0 ')
h.putheader('Referrer', 'www.g13net.com')
h.endheaders()
returncode, returnmsg, headers = h.getreply()
data=h.getfile().read()
data=re.sub('<b>','',data)
for e in ('>','=','<','\\','(',')','"','http',':','//'):
data = string.replace(data,e,' ')
r1 = re.compile('[-_.a-zA-Z0-9.-_]*'+'\.'+file)
res = r1.findall(data)
return res
def search(argv):
global limit
limit = 100
if len(sys.argv) < 2:
usage()
try :
opts, args = getopt.getopt(argv,"d:f:")
except getopt.GetoptError:
usage()
sys.exit()
for opt,arg in opts :
if opt == '-f' :
file=arg
elif opt == '-d':
domain=arg
cant = 0
while cant < limit:
res = run(domain,file)
for x in res:
if result.count(x) == 0:
result.append(x)
cant+=100
if result==[]:
print "No results were found."
else:
for x in result:
print x
if __name__ == "__main__":
try: search(sys.argv[1:])
except KeyboardInterrupt:
print "Search interrupted by user."
except:
sys.exit()
| 20.717647 | 71 | 0.609313 | 253 | 1,761 | 4.201581 | 0.501976 | 0.0254 | 0.022578 | 0.024459 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.019397 | 0.20954 | 1,761 | 84 | 72 | 20.964286 | 0.744253 | 0.126065 | 0 | 0.081967 | 0 | 0 | 0.213072 | 0.015033 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.081967 | null | null | 0.114754 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
fbdc68b03f388458c541749b935a1b91cef73dc0 | 155,379 | py | Python | automate_online-materials/census2010.py | kruschk/automate-the-boring-stuff | 2172fa9d1846b2ba9ead4e86971d72edd54f97b3 | [
"MIT"
] | 2 | 2020-01-18T16:01:24.000Z | 2020-02-29T19:27:17.000Z | automate_online-materials/census2010.py | kruschk/automate-the-boring-stuff | 2172fa9d1846b2ba9ead4e86971d72edd54f97b3 | [
"MIT"
] | 88 | 2019-10-31T12:30:02.000Z | 2020-08-14T12:17:12.000Z | automate_online-materials/census2010.py | kruschk/automate-the-boring-stuff | 2172fa9d1846b2ba9ead4e86971d72edd54f97b3 | [
"MIT"
] | 4 | 2020-08-17T16:49:06.000Z | 2022-02-14T06:45:29.000Z | allData = {'AK': {'Aleutians East': {'pop': 3141, 'tracts': 1},
'Aleutians West': {'pop': 5561, 'tracts': 2},
'Anchorage': {'pop': 291826, 'tracts': 55},
'Bethel': {'pop': 17013, 'tracts': 3},
'Bristol Bay': {'pop': 997, 'tracts': 1},
'Denali': {'pop': 1826, 'tracts': 1},
'Dillingham': {'pop': 4847, 'tracts': 2},
'Fairbanks North Star': {'pop': 97581, 'tracts': 19},
'Haines': {'pop': 2508, 'tracts': 1},
'Hoonah-Angoon': {'pop': 2150, 'tracts': 2},
'Juneau': {'pop': 31275, 'tracts': 6},
'Kenai Peninsula': {'pop': 55400, 'tracts': 13},
'Ketchikan Gateway': {'pop': 13477, 'tracts': 4},
'Kodiak Island': {'pop': 13592, 'tracts': 5},
'Lake and Peninsula': {'pop': 1631, 'tracts': 1},
'Matanuska-Susitna': {'pop': 88995, 'tracts': 24},
'Nome': {'pop': 9492, 'tracts': 2},
'North Slope': {'pop': 9430, 'tracts': 3},
'Northwest Arctic': {'pop': 7523, 'tracts': 2},
'Petersburg': {'pop': 3815, 'tracts': 1},
'Prince of Wales-Hyder': {'pop': 5559, 'tracts': 4},
'Sitka': {'pop': 8881, 'tracts': 2},
'Skagway': {'pop': 968, 'tracts': 1},
'Southeast Fairbanks': {'pop': 7029, 'tracts': 2},
'Valdez-Cordova': {'pop': 9636, 'tracts': 3},
'Wade Hampton': {'pop': 7459, 'tracts': 1},
'Wrangell': {'pop': 2369, 'tracts': 1},
'Yakutat': {'pop': 662, 'tracts': 1},
'Yukon-Koyukuk': {'pop': 5588, 'tracts': 4}},
'AL': {'Autauga': {'pop': 54571, 'tracts': 12},
'Baldwin': {'pop': 182265, 'tracts': 31},
'Barbour': {'pop': 27457, 'tracts': 9},
'Bibb': {'pop': 22915, 'tracts': 4},
'Blount': {'pop': 57322, 'tracts': 9},
'Bullock': {'pop': 10914, 'tracts': 3},
'Butler': {'pop': 20947, 'tracts': 9},
'Calhoun': {'pop': 118572, 'tracts': 31},
'Chambers': {'pop': 34215, 'tracts': 9},
'Cherokee': {'pop': 25989, 'tracts': 6},
'Chilton': {'pop': 43643, 'tracts': 9},
'Choctaw': {'pop': 13859, 'tracts': 4},
'Clarke': {'pop': 25833, 'tracts': 9},
'Clay': {'pop': 13932, 'tracts': 4},
'Cleburne': {'pop': 14972, 'tracts': 4},
'Coffee': {'pop': 49948, 'tracts': 14},
'Colbert': {'pop': 54428, 'tracts': 14},
'Conecuh': {'pop': 13228, 'tracts': 5},
'Coosa': {'pop': 11539, 'tracts': 3},
'Covington': {'pop': 37765, 'tracts': 14},
'Crenshaw': {'pop': 13906, 'tracts': 6},
'Cullman': {'pop': 80406, 'tracts': 18},
'Dale': {'pop': 50251, 'tracts': 14},
'Dallas': {'pop': 43820, 'tracts': 15},
'DeKalb': {'pop': 71109, 'tracts': 14},
'Elmore': {'pop': 79303, 'tracts': 15},
'Escambia': {'pop': 38319, 'tracts': 9},
'Etowah': {'pop': 104430, 'tracts': 30},
'Fayette': {'pop': 17241, 'tracts': 5},
'Franklin': {'pop': 31704, 'tracts': 9},
'Geneva': {'pop': 26790, 'tracts': 6},
'Greene': {'pop': 9045, 'tracts': 3},
'Hale': {'pop': 15760, 'tracts': 6},
'Henry': {'pop': 17302, 'tracts': 6},
'Houston': {'pop': 101547, 'tracts': 22},
'Jackson': {'pop': 53227, 'tracts': 11},
'Jefferson': {'pop': 658466, 'tracts': 163},
'Lamar': {'pop': 14564, 'tracts': 3},
'Lauderdale': {'pop': 92709, 'tracts': 22},
'Lawrence': {'pop': 34339, 'tracts': 9},
'Lee': {'pop': 140247, 'tracts': 27},
'Limestone': {'pop': 82782, 'tracts': 16},
'Lowndes': {'pop': 11299, 'tracts': 4},
'Macon': {'pop': 21452, 'tracts': 12},
'Madison': {'pop': 334811, 'tracts': 73},
'Marengo': {'pop': 21027, 'tracts': 6},
'Marion': {'pop': 30776, 'tracts': 8},
'Marshall': {'pop': 93019, 'tracts': 18},
'Mobile': {'pop': 412992, 'tracts': 114},
'Monroe': {'pop': 23068, 'tracts': 7},
'Montgomery': {'pop': 229363, 'tracts': 65},
'Morgan': {'pop': 119490, 'tracts': 27},
'Perry': {'pop': 10591, 'tracts': 3},
'Pickens': {'pop': 19746, 'tracts': 5},
'Pike': {'pop': 32899, 'tracts': 8},
'Randolph': {'pop': 22913, 'tracts': 6},
'Russell': {'pop': 52947, 'tracts': 13},
'Shelby': {'pop': 195085, 'tracts': 48},
'St. Clair': {'pop': 83593, 'tracts': 13},
'Sumter': {'pop': 13763, 'tracts': 4},
'Talladega': {'pop': 82291, 'tracts': 22},
'Tallapoosa': {'pop': 41616, 'tracts': 10},
'Tuscaloosa': {'pop': 194656, 'tracts': 47},
'Walker': {'pop': 67023, 'tracts': 18},
'Washington': {'pop': 17581, 'tracts': 5},
'Wilcox': {'pop': 11670, 'tracts': 4},
'Winston': {'pop': 24484, 'tracts': 7}},
'AR': {'Arkansas': {'pop': 19019, 'tracts': 8},
'Ashley': {'pop': 21853, 'tracts': 7},
'Baxter': {'pop': 41513, 'tracts': 9},
'Benton': {'pop': 221339, 'tracts': 49},
'Boone': {'pop': 36903, 'tracts': 7},
'Bradley': {'pop': 11508, 'tracts': 5},
'Calhoun': {'pop': 5368, 'tracts': 2},
'Carroll': {'pop': 27446, 'tracts': 5},
'Chicot': {'pop': 11800, 'tracts': 4},
'Clark': {'pop': 22995, 'tracts': 5},
'Clay': {'pop': 16083, 'tracts': 6},
'Cleburne': {'pop': 25970, 'tracts': 7},
'Cleveland': {'pop': 8689, 'tracts': 2},
'Columbia': {'pop': 24552, 'tracts': 5},
'Conway': {'pop': 21273, 'tracts': 6},
'Craighead': {'pop': 96443, 'tracts': 17},
'Crawford': {'pop': 61948, 'tracts': 11},
'Crittenden': {'pop': 50902, 'tracts': 20},
'Cross': {'pop': 17870, 'tracts': 6},
'Dallas': {'pop': 8116, 'tracts': 3},
'Desha': {'pop': 13008, 'tracts': 5},
'Drew': {'pop': 18509, 'tracts': 5},
'Faulkner': {'pop': 113237, 'tracts': 25},
'Franklin': {'pop': 18125, 'tracts': 3},
'Fulton': {'pop': 12245, 'tracts': 2},
'Garland': {'pop': 96024, 'tracts': 20},
'Grant': {'pop': 17853, 'tracts': 4},
'Greene': {'pop': 42090, 'tracts': 9},
'Hempstead': {'pop': 22609, 'tracts': 5},
'Hot Spring': {'pop': 32923, 'tracts': 7},
'Howard': {'pop': 13789, 'tracts': 3},
'Independence': {'pop': 36647, 'tracts': 8},
'Izard': {'pop': 13696, 'tracts': 4},
'Jackson': {'pop': 17997, 'tracts': 5},
'Jefferson': {'pop': 77435, 'tracts': 24},
'Johnson': {'pop': 25540, 'tracts': 6},
'Lafayette': {'pop': 7645, 'tracts': 2},
'Lawrence': {'pop': 17415, 'tracts': 6},
'Lee': {'pop': 10424, 'tracts': 4},
'Lincoln': {'pop': 14134, 'tracts': 4},
'Little River': {'pop': 13171, 'tracts': 4},
'Logan': {'pop': 22353, 'tracts': 6},
'Lonoke': {'pop': 68356, 'tracts': 16},
'Madison': {'pop': 15717, 'tracts': 4},
'Marion': {'pop': 16653, 'tracts': 4},
'Miller': {'pop': 43462, 'tracts': 12},
'Mississippi': {'pop': 46480, 'tracts': 12},
'Monroe': {'pop': 8149, 'tracts': 3},
'Montgomery': {'pop': 9487, 'tracts': 3},
'Nevada': {'pop': 8997, 'tracts': 3},
'Newton': {'pop': 8330, 'tracts': 2},
'Ouachita': {'pop': 26120, 'tracts': 6},
'Perry': {'pop': 10445, 'tracts': 3},
'Phillips': {'pop': 21757, 'tracts': 6},
'Pike': {'pop': 11291, 'tracts': 3},
'Poinsett': {'pop': 24583, 'tracts': 7},
'Polk': {'pop': 20662, 'tracts': 6},
'Pope': {'pop': 61754, 'tracts': 11},
'Prairie': {'pop': 8715, 'tracts': 3},
'Pulaski': {'pop': 382748, 'tracts': 95},
'Randolph': {'pop': 17969, 'tracts': 4},
'Saline': {'pop': 107118, 'tracts': 21},
'Scott': {'pop': 11233, 'tracts': 3},
'Searcy': {'pop': 8195, 'tracts': 3},
'Sebastian': {'pop': 125744, 'tracts': 26},
'Sevier': {'pop': 17058, 'tracts': 4},
'Sharp': {'pop': 17264, 'tracts': 4},
'St. Francis': {'pop': 28258, 'tracts': 6},
'Stone': {'pop': 12394, 'tracts': 3},
'Union': {'pop': 41639, 'tracts': 10},
'Van Buren': {'pop': 17295, 'tracts': 5},
'Washington': {'pop': 203065, 'tracts': 32},
'White': {'pop': 77076, 'tracts': 13},
'Woodruff': {'pop': 7260, 'tracts': 2},
'Yell': {'pop': 22185, 'tracts': 6}},
'AZ': {'Apache': {'pop': 71518, 'tracts': 16},
'Cochise': {'pop': 131346, 'tracts': 32},
'Coconino': {'pop': 134421, 'tracts': 28},
'Gila': {'pop': 53597, 'tracts': 16},
'Graham': {'pop': 37220, 'tracts': 9},
'Greenlee': {'pop': 8437, 'tracts': 3},
'La Paz': {'pop': 20489, 'tracts': 9},
'Maricopa': {'pop': 3817117, 'tracts': 916},
'Mohave': {'pop': 200186, 'tracts': 43},
'Navajo': {'pop': 107449, 'tracts': 31},
'Pima': {'pop': 980263, 'tracts': 241},
'Pinal': {'pop': 375770, 'tracts': 75},
'Santa Cruz': {'pop': 47420, 'tracts': 10},
'Yavapai': {'pop': 211033, 'tracts': 42},
'Yuma': {'pop': 195751, 'tracts': 55}},
'CA': {'Alameda': {'pop': 1510271, 'tracts': 360},
'Alpine': {'pop': 1175, 'tracts': 1},
'Amador': {'pop': 38091, 'tracts': 9},
'Butte': {'pop': 220000, 'tracts': 51},
'Calaveras': {'pop': 45578, 'tracts': 10},
'Colusa': {'pop': 21419, 'tracts': 5},
'Contra Costa': {'pop': 1049025, 'tracts': 208},
'Del Norte': {'pop': 28610, 'tracts': 7},
'El Dorado': {'pop': 181058, 'tracts': 43},
'Fresno': {'pop': 930450, 'tracts': 199},
'Glenn': {'pop': 28122, 'tracts': 6},
'Humboldt': {'pop': 134623, 'tracts': 30},
'Imperial': {'pop': 174528, 'tracts': 31},
'Inyo': {'pop': 18546, 'tracts': 6},
'Kern': {'pop': 839631, 'tracts': 151},
'Kings': {'pop': 152982, 'tracts': 27},
'Lake': {'pop': 64665, 'tracts': 15},
'Lassen': {'pop': 34895, 'tracts': 9},
'Los Angeles': {'pop': 9818605, 'tracts': 2343},
'Madera': {'pop': 150865, 'tracts': 23},
'Marin': {'pop': 252409, 'tracts': 55},
'Mariposa': {'pop': 18251, 'tracts': 6},
'Mendocino': {'pop': 87841, 'tracts': 20},
'Merced': {'pop': 255793, 'tracts': 49},
'Modoc': {'pop': 9686, 'tracts': 4},
'Mono': {'pop': 14202, 'tracts': 3},
'Monterey': {'pop': 415057, 'tracts': 93},
'Napa': {'pop': 136484, 'tracts': 40},
'Nevada': {'pop': 98764, 'tracts': 20},
'Orange': {'pop': 3010232, 'tracts': 583},
'Placer': {'pop': 348432, 'tracts': 85},
'Plumas': {'pop': 20007, 'tracts': 7},
'Riverside': {'pop': 2189641, 'tracts': 453},
'Sacramento': {'pop': 1418788, 'tracts': 317},
'San Benito': {'pop': 55269, 'tracts': 11},
'San Bernardino': {'pop': 2035210, 'tracts': 369},
'San Diego': {'pop': 3095313, 'tracts': 628},
'San Francisco': {'pop': 805235, 'tracts': 196},
'San Joaquin': {'pop': 685306, 'tracts': 139},
'San Luis Obispo': {'pop': 269637, 'tracts': 53},
'San Mateo': {'pop': 718451, 'tracts': 158},
'Santa Barbara': {'pop': 423895, 'tracts': 90},
'Santa Clara': {'pop': 1781642, 'tracts': 372},
'Santa Cruz': {'pop': 262382, 'tracts': 52},
'Shasta': {'pop': 177223, 'tracts': 48},
'Sierra': {'pop': 3240, 'tracts': 1},
'Siskiyou': {'pop': 44900, 'tracts': 14},
'Solano': {'pop': 413344, 'tracts': 96},
'Sonoma': {'pop': 483878, 'tracts': 99},
'Stanislaus': {'pop': 514453, 'tracts': 94},
'Sutter': {'pop': 94737, 'tracts': 21},
'Tehama': {'pop': 63463, 'tracts': 11},
'Trinity': {'pop': 13786, 'tracts': 5},
'Tulare': {'pop': 442179, 'tracts': 78},
'Tuolumne': {'pop': 55365, 'tracts': 11},
'Ventura': {'pop': 823318, 'tracts': 174},
'Yolo': {'pop': 200849, 'tracts': 41},
'Yuba': {'pop': 72155, 'tracts': 14}},
'CO': {'Adams': {'pop': 441603, 'tracts': 97},
'Alamosa': {'pop': 15445, 'tracts': 4},
'Arapahoe': {'pop': 572003, 'tracts': 147},
'Archuleta': {'pop': 12084, 'tracts': 4},
'Baca': {'pop': 3788, 'tracts': 2},
'Bent': {'pop': 6499, 'tracts': 1},
'Boulder': {'pop': 294567, 'tracts': 68},
'Broomfield': {'pop': 55889, 'tracts': 18},
'Chaffee': {'pop': 17809, 'tracts': 5},
'Cheyenne': {'pop': 1836, 'tracts': 1},
'Clear Creek': {'pop': 9088, 'tracts': 3},
'Conejos': {'pop': 8256, 'tracts': 2},
'Costilla': {'pop': 3524, 'tracts': 2},
'Crowley': {'pop': 5823, 'tracts': 1},
'Custer': {'pop': 4255, 'tracts': 1},
'Delta': {'pop': 30952, 'tracts': 7},
'Denver': {'pop': 600158, 'tracts': 144},
'Dolores': {'pop': 2064, 'tracts': 1},
'Douglas': {'pop': 285465, 'tracts': 61},
'Eagle': {'pop': 52197, 'tracts': 14},
'El Paso': {'pop': 622263, 'tracts': 130},
'Elbert': {'pop': 23086, 'tracts': 7},
'Fremont': {'pop': 46824, 'tracts': 14},
'Garfield': {'pop': 56389, 'tracts': 11},
'Gilpin': {'pop': 5441, 'tracts': 1},
'Grand': {'pop': 14843, 'tracts': 3},
'Gunnison': {'pop': 15324, 'tracts': 4},
'Hinsdale': {'pop': 843, 'tracts': 1},
'Huerfano': {'pop': 6711, 'tracts': 2},
'Jackson': {'pop': 1394, 'tracts': 1},
'Jefferson': {'pop': 534543, 'tracts': 138},
'Kiowa': {'pop': 1398, 'tracts': 1},
'Kit Carson': {'pop': 8270, 'tracts': 3},
'La Plata': {'pop': 51334, 'tracts': 10},
'Lake': {'pop': 7310, 'tracts': 2},
'Larimer': {'pop': 299630, 'tracts': 73},
'Las Animas': {'pop': 15507, 'tracts': 6},
'Lincoln': {'pop': 5467, 'tracts': 2},
'Logan': {'pop': 22709, 'tracts': 6},
'Mesa': {'pop': 146723, 'tracts': 29},
'Mineral': {'pop': 712, 'tracts': 1},
'Moffat': {'pop': 13795, 'tracts': 4},
'Montezuma': {'pop': 25535, 'tracts': 7},
'Montrose': {'pop': 41276, 'tracts': 10},
'Morgan': {'pop': 28159, 'tracts': 8},
'Otero': {'pop': 18831, 'tracts': 7},
'Ouray': {'pop': 4436, 'tracts': 1},
'Park': {'pop': 16206, 'tracts': 5},
'Phillips': {'pop': 4442, 'tracts': 2},
'Pitkin': {'pop': 17148, 'tracts': 4},
'Prowers': {'pop': 12551, 'tracts': 5},
'Pueblo': {'pop': 159063, 'tracts': 55},
'Rio Blanco': {'pop': 6666, 'tracts': 2},
'Rio Grande': {'pop': 11982, 'tracts': 3},
'Routt': {'pop': 23509, 'tracts': 8},
'Saguache': {'pop': 6108, 'tracts': 2},
'San Juan': {'pop': 699, 'tracts': 1},
'San Miguel': {'pop': 7359, 'tracts': 4},
'Sedgwick': {'pop': 2379, 'tracts': 1},
'Summit': {'pop': 27994, 'tracts': 5},
'Teller': {'pop': 23350, 'tracts': 6},
'Washington': {'pop': 4814, 'tracts': 2},
'Weld': {'pop': 252825, 'tracts': 77},
'Yuma': {'pop': 10043, 'tracts': 2}},
'CT': {'Fairfield': {'pop': 916829, 'tracts': 211},
'Hartford': {'pop': 894014, 'tracts': 224},
'Litchfield': {'pop': 189927, 'tracts': 51},
'Middlesex': {'pop': 165676, 'tracts': 36},
'New Haven': {'pop': 862477, 'tracts': 190},
'New London': {'pop': 274055, 'tracts': 66},
'Tolland': {'pop': 152691, 'tracts': 29},
'Windham': {'pop': 118428, 'tracts': 25}},
'DC': {'District of Columbia': {'pop': 601723, 'tracts': 179}},
'DE': {'Kent': {'pop': 162310, 'tracts': 33},
'New Castle': {'pop': 538479, 'tracts': 131},
'Sussex': {'pop': 197145, 'tracts': 54}},
'FL': {'Alachua': {'pop': 247336, 'tracts': 56},
'Baker': {'pop': 27115, 'tracts': 4},
'Bay': {'pop': 168852, 'tracts': 44},
'Bradford': {'pop': 28520, 'tracts': 4},
'Brevard': {'pop': 543376, 'tracts': 113},
'Broward': {'pop': 1748066, 'tracts': 361},
'Calhoun': {'pop': 14625, 'tracts': 3},
'Charlotte': {'pop': 159978, 'tracts': 39},
'Citrus': {'pop': 141236, 'tracts': 27},
'Clay': {'pop': 190865, 'tracts': 30},
'Collier': {'pop': 321520, 'tracts': 73},
'Columbia': {'pop': 67531, 'tracts': 12},
'DeSoto': {'pop': 34862, 'tracts': 9},
'Dixie': {'pop': 16422, 'tracts': 3},
'Duval': {'pop': 864263, 'tracts': 173},
'Escambia': {'pop': 297619, 'tracts': 71},
'Flagler': {'pop': 95696, 'tracts': 20},
'Franklin': {'pop': 11549, 'tracts': 4},
'Gadsden': {'pop': 46389, 'tracts': 9},
'Gilchrist': {'pop': 16939, 'tracts': 5},
'Glades': {'pop': 12884, 'tracts': 4},
'Gulf': {'pop': 15863, 'tracts': 3},
'Hamilton': {'pop': 14799, 'tracts': 3},
'Hardee': {'pop': 27731, 'tracts': 6},
'Hendry': {'pop': 39140, 'tracts': 7},
'Hernando': {'pop': 172778, 'tracts': 45},
'Highlands': {'pop': 98786, 'tracts': 27},
'Hillsborough': {'pop': 1229226, 'tracts': 321},
'Holmes': {'pop': 19927, 'tracts': 4},
'Indian River': {'pop': 138028, 'tracts': 30},
'Jackson': {'pop': 49746, 'tracts': 11},
'Jefferson': {'pop': 14761, 'tracts': 3},
'Lafayette': {'pop': 8870, 'tracts': 2},
'Lake': {'pop': 297052, 'tracts': 56},
'Lee': {'pop': 618754, 'tracts': 166},
'Leon': {'pop': 275487, 'tracts': 68},
'Levy': {'pop': 40801, 'tracts': 9},
'Liberty': {'pop': 8365, 'tracts': 2},
'Madison': {'pop': 19224, 'tracts': 5},
'Manatee': {'pop': 322833, 'tracts': 78},
'Marion': {'pop': 331298, 'tracts': 63},
'Martin': {'pop': 146318, 'tracts': 35},
'Miami-Dade': {'pop': 2496435, 'tracts': 519},
'Monroe': {'pop': 73090, 'tracts': 30},
'Nassau': {'pop': 73314, 'tracts': 12},
'Okaloosa': {'pop': 180822, 'tracts': 41},
'Okeechobee': {'pop': 39996, 'tracts': 12},
'Orange': {'pop': 1145956, 'tracts': 207},
'Osceola': {'pop': 268685, 'tracts': 41},
'Palm Beach': {'pop': 1320134, 'tracts': 337},
'Pasco': {'pop': 464697, 'tracts': 134},
'Pinellas': {'pop': 916542, 'tracts': 245},
'Polk': {'pop': 602095, 'tracts': 154},
'Putnam': {'pop': 74364, 'tracts': 17},
'Santa Rosa': {'pop': 151372, 'tracts': 25},
'Sarasota': {'pop': 379448, 'tracts': 94},
'Seminole': {'pop': 422718, 'tracts': 86},
'St. Johns': {'pop': 190039, 'tracts': 40},
'St. Lucie': {'pop': 277789, 'tracts': 44},
'Sumter': {'pop': 93420, 'tracts': 19},
'Suwannee': {'pop': 41551, 'tracts': 7},
'Taylor': {'pop': 22570, 'tracts': 4},
'Union': {'pop': 15535, 'tracts': 3},
'Volusia': {'pop': 494593, 'tracts': 113},
'Wakulla': {'pop': 30776, 'tracts': 4},
'Walton': {'pop': 55043, 'tracts': 11},
'Washington': {'pop': 24896, 'tracts': 7}},
'GA': {'Appling': {'pop': 18236, 'tracts': 5},
'Atkinson': {'pop': 8375, 'tracts': 3},
'Bacon': {'pop': 11096, 'tracts': 3},
'Baker': {'pop': 3451, 'tracts': 2},
'Baldwin': {'pop': 45720, 'tracts': 9},
'Banks': {'pop': 18395, 'tracts': 4},
'Barrow': {'pop': 69367, 'tracts': 18},
'Bartow': {'pop': 100157, 'tracts': 15},
'Ben Hill': {'pop': 17634, 'tracts': 5},
'Berrien': {'pop': 19286, 'tracts': 6},
'Bibb': {'pop': 155547, 'tracts': 44},
'Bleckley': {'pop': 13063, 'tracts': 3},
'Brantley': {'pop': 18411, 'tracts': 3},
'Brooks': {'pop': 16243, 'tracts': 5},
'Bryan': {'pop': 30233, 'tracts': 7},
'Bulloch': {'pop': 70217, 'tracts': 12},
'Burke': {'pop': 23316, 'tracts': 6},
'Butts': {'pop': 23655, 'tracts': 3},
'Calhoun': {'pop': 6694, 'tracts': 2},
'Camden': {'pop': 50513, 'tracts': 10},
'Candler': {'pop': 10998, 'tracts': 3},
'Carroll': {'pop': 110527, 'tracts': 17},
'Catoosa': {'pop': 63942, 'tracts': 11},
'Charlton': {'pop': 12171, 'tracts': 2},
'Chatham': {'pop': 265128, 'tracts': 72},
'Chattahoochee': {'pop': 11267, 'tracts': 5},
'Chattooga': {'pop': 26015, 'tracts': 6},
'Cherokee': {'pop': 214346, 'tracts': 26},
'Clarke': {'pop': 116714, 'tracts': 30},
'Clay': {'pop': 3183, 'tracts': 1},
'Clayton': {'pop': 259424, 'tracts': 50},
'Clinch': {'pop': 6798, 'tracts': 2},
'Cobb': {'pop': 688078, 'tracts': 120},
'Coffee': {'pop': 42356, 'tracts': 9},
'Colquitt': {'pop': 45498, 'tracts': 10},
'Columbia': {'pop': 124053, 'tracts': 20},
'Cook': {'pop': 17212, 'tracts': 4},
'Coweta': {'pop': 127317, 'tracts': 20},
'Crawford': {'pop': 12630, 'tracts': 3},
'Crisp': {'pop': 23439, 'tracts': 6},
'Dade': {'pop': 16633, 'tracts': 4},
'Dawson': {'pop': 22330, 'tracts': 3},
'DeKalb': {'pop': 691893, 'tracts': 145},
'Decatur': {'pop': 27842, 'tracts': 7},
'Dodge': {'pop': 21796, 'tracts': 6},
'Dooly': {'pop': 14918, 'tracts': 3},
'Dougherty': {'pop': 94565, 'tracts': 27},
'Douglas': {'pop': 132403, 'tracts': 20},
'Early': {'pop': 11008, 'tracts': 5},
'Echols': {'pop': 4034, 'tracts': 2},
'Effingham': {'pop': 52250, 'tracts': 10},
'Elbert': {'pop': 20166, 'tracts': 5},
'Emanuel': {'pop': 22598, 'tracts': 6},
'Evans': {'pop': 11000, 'tracts': 3},
'Fannin': {'pop': 23682, 'tracts': 5},
'Fayette': {'pop': 106567, 'tracts': 20},
'Floyd': {'pop': 96317, 'tracts': 20},
'Forsyth': {'pop': 175511, 'tracts': 45},
'Franklin': {'pop': 22084, 'tracts': 5},
'Fulton': {'pop': 920581, 'tracts': 204},
'Gilmer': {'pop': 28292, 'tracts': 5},
'Glascock': {'pop': 3082, 'tracts': 1},
'Glynn': {'pop': 79626, 'tracts': 15},
'Gordon': {'pop': 55186, 'tracts': 9},
'Grady': {'pop': 25011, 'tracts': 6},
'Greene': {'pop': 15994, 'tracts': 7},
'Gwinnett': {'pop': 805321, 'tracts': 113},
'Habersham': {'pop': 43041, 'tracts': 8},
'Hall': {'pop': 179684, 'tracts': 36},
'Hancock': {'pop': 9429, 'tracts': 2},
'Haralson': {'pop': 28780, 'tracts': 5},
'Harris': {'pop': 32024, 'tracts': 5},
'Hart': {'pop': 25213, 'tracts': 5},
'Heard': {'pop': 11834, 'tracts': 3},
'Henry': {'pop': 203922, 'tracts': 25},
'Houston': {'pop': 139900, 'tracts': 23},
'Irwin': {'pop': 9538, 'tracts': 2},
'Jackson': {'pop': 60485, 'tracts': 11},
'Jasper': {'pop': 13900, 'tracts': 3},
'Jeff Davis': {'pop': 15068, 'tracts': 3},
'Jefferson': {'pop': 16930, 'tracts': 4},
'Jenkins': {'pop': 8340, 'tracts': 2},
'Johnson': {'pop': 9980, 'tracts': 3},
'Jones': {'pop': 28669, 'tracts': 6},
'Lamar': {'pop': 18317, 'tracts': 3},
'Lanier': {'pop': 10078, 'tracts': 2},
'Laurens': {'pop': 48434, 'tracts': 13},
'Lee': {'pop': 28298, 'tracts': 5},
'Liberty': {'pop': 63453, 'tracts': 14},
'Lincoln': {'pop': 7996, 'tracts': 2},
'Long': {'pop': 14464, 'tracts': 3},
'Lowndes': {'pop': 109233, 'tracts': 25},
'Lumpkin': {'pop': 29966, 'tracts': 4},
'Macon': {'pop': 14740, 'tracts': 4},
'Madison': {'pop': 28120, 'tracts': 6},
'Marion': {'pop': 8742, 'tracts': 2},
'McDuffie': {'pop': 21875, 'tracts': 5},
'McIntosh': {'pop': 14333, 'tracts': 4},
'Meriwether': {'pop': 21992, 'tracts': 4},
'Miller': {'pop': 6125, 'tracts': 3},
'Mitchell': {'pop': 23498, 'tracts': 5},
'Monroe': {'pop': 26424, 'tracts': 5},
'Montgomery': {'pop': 9123, 'tracts': 3},
'Morgan': {'pop': 17868, 'tracts': 5},
'Murray': {'pop': 39628, 'tracts': 8},
'Muscogee': {'pop': 189885, 'tracts': 53},
'Newton': {'pop': 99958, 'tracts': 13},
'Oconee': {'pop': 32808, 'tracts': 6},
'Oglethorpe': {'pop': 14899, 'tracts': 4},
'Paulding': {'pop': 142324, 'tracts': 19},
'Peach': {'pop': 27695, 'tracts': 6},
'Pickens': {'pop': 29431, 'tracts': 6},
'Pierce': {'pop': 18758, 'tracts': 4},
'Pike': {'pop': 17869, 'tracts': 4},
'Polk': {'pop': 41475, 'tracts': 7},
'Pulaski': {'pop': 12010, 'tracts': 3},
'Putnam': {'pop': 21218, 'tracts': 5},
'Quitman': {'pop': 2513, 'tracts': 1},
'Rabun': {'pop': 16276, 'tracts': 5},
'Randolph': {'pop': 7719, 'tracts': 2},
'Richmond': {'pop': 200549, 'tracts': 47},
'Rockdale': {'pop': 85215, 'tracts': 15},
'Schley': {'pop': 5010, 'tracts': 2},
'Screven': {'pop': 14593, 'tracts': 5},
'Seminole': {'pop': 8729, 'tracts': 3},
'Spalding': {'pop': 64073, 'tracts': 12},
'Stephens': {'pop': 26175, 'tracts': 5},
'Stewart': {'pop': 6058, 'tracts': 2},
'Sumter': {'pop': 32819, 'tracts': 8},
'Talbot': {'pop': 6865, 'tracts': 3},
'Taliaferro': {'pop': 1717, 'tracts': 1},
'Tattnall': {'pop': 25520, 'tracts': 5},
'Taylor': {'pop': 8906, 'tracts': 3},
'Telfair': {'pop': 16500, 'tracts': 3},
'Terrell': {'pop': 9315, 'tracts': 4},
'Thomas': {'pop': 44720, 'tracts': 11},
'Tift': {'pop': 40118, 'tracts': 9},
'Toombs': {'pop': 27223, 'tracts': 6},
'Towns': {'pop': 10471, 'tracts': 3},
'Treutlen': {'pop': 6885, 'tracts': 2},
'Troup': {'pop': 67044, 'tracts': 14},
'Turner': {'pop': 8930, 'tracts': 2},
'Twiggs': {'pop': 9023, 'tracts': 2},
'Union': {'pop': 21356, 'tracts': 6},
'Upson': {'pop': 27153, 'tracts': 7},
'Walker': {'pop': 68756, 'tracts': 13},
'Walton': {'pop': 83768, 'tracts': 15},
'Ware': {'pop': 36312, 'tracts': 9},
'Warren': {'pop': 5834, 'tracts': 2},
'Washington': {'pop': 21187, 'tracts': 5},
'Wayne': {'pop': 30099, 'tracts': 6},
'Webster': {'pop': 2799, 'tracts': 2},
'Wheeler': {'pop': 7421, 'tracts': 2},
'White': {'pop': 27144, 'tracts': 5},
'Whitfield': {'pop': 102599, 'tracts': 18},
'Wilcox': {'pop': 9255, 'tracts': 4},
'Wilkes': {'pop': 10593, 'tracts': 4},
'Wilkinson': {'pop': 9563, 'tracts': 3},
'Worth': {'pop': 21679, 'tracts': 5}},
'HI': {'Hawaii': {'pop': 185079, 'tracts': 34},
'Honolulu': {'pop': 953207, 'tracts': 244},
'Kalawao': {'pop': 90, 'tracts': 1},
'Kauai': {'pop': 67091, 'tracts': 16},
'Maui': {'pop': 154834, 'tracts': 37}},
'IA': {'Adair': {'pop': 7682, 'tracts': 3},
'Adams': {'pop': 4029, 'tracts': 2},
'Allamakee': {'pop': 14330, 'tracts': 5},
'Appanoose': {'pop': 12887, 'tracts': 5},
'Audubon': {'pop': 6119, 'tracts': 3},
'Benton': {'pop': 26076, 'tracts': 7},
'Black Hawk': {'pop': 131090, 'tracts': 38},
'Boone': {'pop': 26306, 'tracts': 7},
'Bremer': {'pop': 24276, 'tracts': 8},
'Buchanan': {'pop': 20958, 'tracts': 6},
'Buena Vista': {'pop': 20260, 'tracts': 6},
'Butler': {'pop': 14867, 'tracts': 5},
'Calhoun': {'pop': 9670, 'tracts': 4},
'Carroll': {'pop': 20816, 'tracts': 6},
'Cass': {'pop': 13956, 'tracts': 5},
'Cedar': {'pop': 18499, 'tracts': 5},
'Cerro Gordo': {'pop': 44151, 'tracts': 11},
'Cherokee': {'pop': 12072, 'tracts': 4},
'Chickasaw': {'pop': 12439, 'tracts': 4},
'Clarke': {'pop': 9286, 'tracts': 3},
'Clay': {'pop': 16667, 'tracts': 4},
'Clayton': {'pop': 18129, 'tracts': 6},
'Clinton': {'pop': 49116, 'tracts': 12},
'Crawford': {'pop': 17096, 'tracts': 5},
'Dallas': {'pop': 66135, 'tracts': 15},
'Davis': {'pop': 8753, 'tracts': 2},
'Decatur': {'pop': 8457, 'tracts': 3},
'Delaware': {'pop': 17764, 'tracts': 4},
'Des Moines': {'pop': 40325, 'tracts': 11},
'Dickinson': {'pop': 16667, 'tracts': 5},
'Dubuque': {'pop': 93653, 'tracts': 26},
'Emmet': {'pop': 10302, 'tracts': 4},
'Fayette': {'pop': 20880, 'tracts': 7},
'Floyd': {'pop': 16303, 'tracts': 5},
'Franklin': {'pop': 10680, 'tracts': 3},
'Fremont': {'pop': 7441, 'tracts': 3},
'Greene': {'pop': 9336, 'tracts': 4},
'Grundy': {'pop': 12453, 'tracts': 4},
'Guthrie': {'pop': 10954, 'tracts': 3},
'Hamilton': {'pop': 15673, 'tracts': 5},
'Hancock': {'pop': 11341, 'tracts': 4},
'Hardin': {'pop': 17534, 'tracts': 6},
'Harrison': {'pop': 14928, 'tracts': 5},
'Henry': {'pop': 20145, 'tracts': 5},
'Howard': {'pop': 9566, 'tracts': 3},
'Humboldt': {'pop': 9815, 'tracts': 4},
'Ida': {'pop': 7089, 'tracts': 3},
'Iowa': {'pop': 16355, 'tracts': 4},
'Jackson': {'pop': 19848, 'tracts': 6},
'Jasper': {'pop': 36842, 'tracts': 9},
'Jefferson': {'pop': 16843, 'tracts': 4},
'Johnson': {'pop': 130882, 'tracts': 24},
'Jones': {'pop': 20638, 'tracts': 5},
'Keokuk': {'pop': 10511, 'tracts': 4},
'Kossuth': {'pop': 15543, 'tracts': 6},
'Lee': {'pop': 35862, 'tracts': 11},
'Linn': {'pop': 211226, 'tracts': 45},
'Louisa': {'pop': 11387, 'tracts': 3},
'Lucas': {'pop': 8898, 'tracts': 4},
'Lyon': {'pop': 11581, 'tracts': 3},
'Madison': {'pop': 15679, 'tracts': 3},
'Mahaska': {'pop': 22381, 'tracts': 7},
'Marion': {'pop': 33309, 'tracts': 8},
'Marshall': {'pop': 40648, 'tracts': 10},
'Mills': {'pop': 15059, 'tracts': 5},
'Mitchell': {'pop': 10776, 'tracts': 3},
'Monona': {'pop': 9243, 'tracts': 4},
'Monroe': {'pop': 7970, 'tracts': 3},
'Montgomery': {'pop': 10740, 'tracts': 4},
'Muscatine': {'pop': 42745, 'tracts': 10},
"O'Brien": {'pop': 14398, 'tracts': 4},
'Osceola': {'pop': 6462, 'tracts': 2},
'Page': {'pop': 15932, 'tracts': 6},
'Palo Alto': {'pop': 9421, 'tracts': 4},
'Plymouth': {'pop': 24986, 'tracts': 6},
'Pocahontas': {'pop': 7310, 'tracts': 3},
'Polk': {'pop': 430640, 'tracts': 98},
'Pottawattamie': {'pop': 93158, 'tracts': 30},
'Poweshiek': {'pop': 18914, 'tracts': 5},
'Ringgold': {'pop': 5131, 'tracts': 2},
'Sac': {'pop': 10350, 'tracts': 4},
'Scott': {'pop': 165224, 'tracts': 47},
'Shelby': {'pop': 12167, 'tracts': 4},
'Sioux': {'pop': 33704, 'tracts': 7},
'Story': {'pop': 89542, 'tracts': 20},
'Tama': {'pop': 17767, 'tracts': 6},
'Taylor': {'pop': 6317, 'tracts': 3},
'Union': {'pop': 12534, 'tracts': 4},
'Van Buren': {'pop': 7570, 'tracts': 2},
'Wapello': {'pop': 35625, 'tracts': 11},
'Warren': {'pop': 46225, 'tracts': 12},
'Washington': {'pop': 21704, 'tracts': 5},
'Wayne': {'pop': 6403, 'tracts': 3},
'Webster': {'pop': 38013, 'tracts': 12},
'Winnebago': {'pop': 10866, 'tracts': 3},
'Winneshiek': {'pop': 21056, 'tracts': 5},
'Woodbury': {'pop': 102172, 'tracts': 26},
'Worth': {'pop': 7598, 'tracts': 3},
'Wright': {'pop': 13229, 'tracts': 5}},
'ID': {'Ada': {'pop': 392365, 'tracts': 59},
'Adams': {'pop': 3976, 'tracts': 2},
'Bannock': {'pop': 82839, 'tracts': 22},
'Bear Lake': {'pop': 5986, 'tracts': 2},
'Benewah': {'pop': 9285, 'tracts': 2},
'Bingham': {'pop': 45607, 'tracts': 8},
'Blaine': {'pop': 21376, 'tracts': 4},
'Boise': {'pop': 7028, 'tracts': 1},
'Bonner': {'pop': 40877, 'tracts': 9},
'Bonneville': {'pop': 104234, 'tracts': 21},
'Boundary': {'pop': 10972, 'tracts': 2},
'Butte': {'pop': 2891, 'tracts': 1},
'Camas': {'pop': 1117, 'tracts': 1},
'Canyon': {'pop': 188923, 'tracts': 29},
'Caribou': {'pop': 6963, 'tracts': 2},
'Cassia': {'pop': 22952, 'tracts': 6},
'Clark': {'pop': 982, 'tracts': 1},
'Clearwater': {'pop': 8761, 'tracts': 2},
'Custer': {'pop': 4368, 'tracts': 1},
'Elmore': {'pop': 27038, 'tracts': 5},
'Franklin': {'pop': 12786, 'tracts': 2},
'Fremont': {'pop': 13242, 'tracts': 3},
'Gem': {'pop': 16719, 'tracts': 3},
'Gooding': {'pop': 15464, 'tracts': 2},
'Idaho': {'pop': 16267, 'tracts': 5},
'Jefferson': {'pop': 26140, 'tracts': 4},
'Jerome': {'pop': 22374, 'tracts': 5},
'Kootenai': {'pop': 138494, 'tracts': 25},
'Latah': {'pop': 37244, 'tracts': 7},
'Lemhi': {'pop': 7936, 'tracts': 3},
'Lewis': {'pop': 3821, 'tracts': 3},
'Lincoln': {'pop': 5208, 'tracts': 1},
'Madison': {'pop': 37536, 'tracts': 6},
'Minidoka': {'pop': 20069, 'tracts': 5},
'Nez Perce': {'pop': 39265, 'tracts': 10},
'Oneida': {'pop': 4286, 'tracts': 1},
'Owyhee': {'pop': 11526, 'tracts': 3},
'Payette': {'pop': 22623, 'tracts': 4},
'Power': {'pop': 7817, 'tracts': 2},
'Shoshone': {'pop': 12765, 'tracts': 3},
'Teton': {'pop': 10170, 'tracts': 1},
'Twin Falls': {'pop': 77230, 'tracts': 14},
'Valley': {'pop': 9862, 'tracts': 3},
'Washington': {'pop': 10198, 'tracts': 3}},
'IL': {'Adams': {'pop': 67103, 'tracts': 18},
'Alexander': {'pop': 8238, 'tracts': 4},
'Bond': {'pop': 17768, 'tracts': 4},
'Boone': {'pop': 54165, 'tracts': 7},
'Brown': {'pop': 6937, 'tracts': 2},
'Bureau': {'pop': 34978, 'tracts': 10},
'Calhoun': {'pop': 5089, 'tracts': 2},
'Carroll': {'pop': 15387, 'tracts': 6},
'Cass': {'pop': 13642, 'tracts': 5},
'Champaign': {'pop': 201081, 'tracts': 43},
'Christian': {'pop': 34800, 'tracts': 10},
'Clark': {'pop': 16335, 'tracts': 4},
'Clay': {'pop': 13815, 'tracts': 4},
'Clinton': {'pop': 37762, 'tracts': 8},
'Coles': {'pop': 53873, 'tracts': 12},
'Cook': {'pop': 5194675, 'tracts': 1318},
'Crawford': {'pop': 19817, 'tracts': 6},
'Cumberland': {'pop': 11048, 'tracts': 3},
'De Witt': {'pop': 16561, 'tracts': 5},
'DeKalb': {'pop': 105160, 'tracts': 21},
'Douglas': {'pop': 19980, 'tracts': 5},
'DuPage': {'pop': 916924, 'tracts': 216},
'Edgar': {'pop': 18576, 'tracts': 5},
'Edwards': {'pop': 6721, 'tracts': 3},
'Effingham': {'pop': 34242, 'tracts': 8},
'Fayette': {'pop': 22140, 'tracts': 7},
'Ford': {'pop': 14081, 'tracts': 5},
'Franklin': {'pop': 39561, 'tracts': 12},
'Fulton': {'pop': 37069, 'tracts': 12},
'Gallatin': {'pop': 5589, 'tracts': 2},
'Greene': {'pop': 13886, 'tracts': 5},
'Grundy': {'pop': 50063, 'tracts': 10},
'Hamilton': {'pop': 8457, 'tracts': 3},
'Hancock': {'pop': 19104, 'tracts': 7},
'Hardin': {'pop': 4320, 'tracts': 2},
'Henderson': {'pop': 7331, 'tracts': 3},
'Henry': {'pop': 50486, 'tracts': 13},
'Iroquois': {'pop': 29718, 'tracts': 9},
'Jackson': {'pop': 60218, 'tracts': 14},
'Jasper': {'pop': 9698, 'tracts': 3},
'Jefferson': {'pop': 38827, 'tracts': 11},
'Jersey': {'pop': 22985, 'tracts': 6},
'Jo Daviess': {'pop': 22678, 'tracts': 6},
'Johnson': {'pop': 12582, 'tracts': 4},
'Kane': {'pop': 515269, 'tracts': 82},
'Kankakee': {'pop': 113449, 'tracts': 29},
'Kendall': {'pop': 114736, 'tracts': 10},
'Knox': {'pop': 52919, 'tracts': 16},
'La Salle': {'pop': 113924, 'tracts': 28},
'Lake': {'pop': 703462, 'tracts': 153},
'Lawrence': {'pop': 16833, 'tracts': 5},
'Lee': {'pop': 36031, 'tracts': 9},
'Livingston': {'pop': 38950, 'tracts': 10},
'Logan': {'pop': 30305, 'tracts': 8},
'Macon': {'pop': 110768, 'tracts': 34},
'Macoupin': {'pop': 47765, 'tracts': 13},
'Madison': {'pop': 269282, 'tracts': 61},
'Marion': {'pop': 39437, 'tracts': 12},
'Marshall': {'pop': 12640, 'tracts': 5},
'Mason': {'pop': 14666, 'tracts': 6},
'Massac': {'pop': 15429, 'tracts': 4},
'McDonough': {'pop': 32612, 'tracts': 10},
'McHenry': {'pop': 308760, 'tracts': 52},
'McLean': {'pop': 169572, 'tracts': 41},
'Menard': {'pop': 12705, 'tracts': 3},
'Mercer': {'pop': 16434, 'tracts': 4},
'Monroe': {'pop': 32957, 'tracts': 6},
'Montgomery': {'pop': 30104, 'tracts': 8},
'Morgan': {'pop': 35547, 'tracts': 10},
'Moultrie': {'pop': 14846, 'tracts': 4},
'Ogle': {'pop': 53497, 'tracts': 11},
'Peoria': {'pop': 186494, 'tracts': 48},
'Perry': {'pop': 22350, 'tracts': 6},
'Piatt': {'pop': 16729, 'tracts': 4},
'Pike': {'pop': 16430, 'tracts': 5},
'Pope': {'pop': 4470, 'tracts': 2},
'Pulaski': {'pop': 6161, 'tracts': 2},
'Putnam': {'pop': 6006, 'tracts': 2},
'Randolph': {'pop': 33476, 'tracts': 9},
'Richland': {'pop': 16233, 'tracts': 5},
'Rock Island': {'pop': 147546, 'tracts': 40},
'Saline': {'pop': 24913, 'tracts': 9},
'Sangamon': {'pop': 197465, 'tracts': 53},
'Schuyler': {'pop': 7544, 'tracts': 3},
'Scott': {'pop': 5355, 'tracts': 2},
'Shelby': {'pop': 22363, 'tracts': 6},
'St. Clair': {'pop': 270056, 'tracts': 60},
'Stark': {'pop': 5994, 'tracts': 2},
'Stephenson': {'pop': 47711, 'tracts': 13},
'Tazewell': {'pop': 135394, 'tracts': 30},
'Union': {'pop': 17808, 'tracts': 5},
'Vermilion': {'pop': 81625, 'tracts': 24},
'Wabash': {'pop': 11947, 'tracts': 4},
'Warren': {'pop': 17707, 'tracts': 5},
'Washington': {'pop': 14716, 'tracts': 4},
'Wayne': {'pop': 16760, 'tracts': 5},
'White': {'pop': 14665, 'tracts': 5},
'Whiteside': {'pop': 58498, 'tracts': 18},
'Will': {'pop': 677560, 'tracts': 152},
'Williamson': {'pop': 66357, 'tracts': 15},
'Winnebago': {'pop': 295266, 'tracts': 77},
'Woodford': {'pop': 38664, 'tracts': 9}},
'IN': {'Adams': {'pop': 34387, 'tracts': 7},
'Allen': {'pop': 355329, 'tracts': 96},
'Bartholomew': {'pop': 76794, 'tracts': 15},
'Benton': {'pop': 8854, 'tracts': 3},
'Blackford': {'pop': 12766, 'tracts': 4},
'Boone': {'pop': 56640, 'tracts': 10},
'Brown': {'pop': 15242, 'tracts': 4},
'Carroll': {'pop': 20155, 'tracts': 7},
'Cass': {'pop': 38966, 'tracts': 11},
'Clark': {'pop': 110232, 'tracts': 26},
'Clay': {'pop': 26890, 'tracts': 6},
'Clinton': {'pop': 33224, 'tracts': 8},
'Crawford': {'pop': 10713, 'tracts': 3},
'Daviess': {'pop': 31648, 'tracts': 7},
'DeKalb': {'pop': 42223, 'tracts': 9},
'Dearborn': {'pop': 50047, 'tracts': 10},
'Decatur': {'pop': 25740, 'tracts': 6},
'Delaware': {'pop': 117671, 'tracts': 30},
'Dubois': {'pop': 41889, 'tracts': 7},
'Elkhart': {'pop': 197559, 'tracts': 36},
'Fayette': {'pop': 24277, 'tracts': 7},
'Floyd': {'pop': 74578, 'tracts': 20},
'Fountain': {'pop': 17240, 'tracts': 5},
'Franklin': {'pop': 23087, 'tracts': 5},
'Fulton': {'pop': 20836, 'tracts': 6},
'Gibson': {'pop': 33503, 'tracts': 7},
'Grant': {'pop': 70061, 'tracts': 16},
'Greene': {'pop': 33165, 'tracts': 9},
'Hamilton': {'pop': 274569, 'tracts': 39},
'Hancock': {'pop': 70002, 'tracts': 10},
'Harrison': {'pop': 39364, 'tracts': 6},
'Hendricks': {'pop': 145448, 'tracts': 21},
'Henry': {'pop': 49462, 'tracts': 13},
'Howard': {'pop': 82752, 'tracts': 20},
'Huntington': {'pop': 37124, 'tracts': 9},
'Jackson': {'pop': 42376, 'tracts': 10},
'Jasper': {'pop': 33478, 'tracts': 8},
'Jay': {'pop': 21253, 'tracts': 7},
'Jefferson': {'pop': 32428, 'tracts': 7},
'Jennings': {'pop': 28525, 'tracts': 6},
'Johnson': {'pop': 139654, 'tracts': 22},
'Knox': {'pop': 38440, 'tracts': 10},
'Kosciusko': {'pop': 77358, 'tracts': 19},
'LaGrange': {'pop': 37128, 'tracts': 8},
'LaPorte': {'pop': 111467, 'tracts': 28},
'Lake': {'pop': 496005, 'tracts': 117},
'Lawrence': {'pop': 46134, 'tracts': 10},
'Madison': {'pop': 131636, 'tracts': 37},
'Marion': {'pop': 903393, 'tracts': 224},
'Marshall': {'pop': 47051, 'tracts': 12},
'Martin': {'pop': 10334, 'tracts': 3},
'Miami': {'pop': 36903, 'tracts': 10},
'Monroe': {'pop': 137974, 'tracts': 31},
'Montgomery': {'pop': 38124, 'tracts': 9},
'Morgan': {'pop': 68894, 'tracts': 13},
'Newton': {'pop': 14244, 'tracts': 4},
'Noble': {'pop': 47536, 'tracts': 10},
'Ohio': {'pop': 6128, 'tracts': 2},
'Orange': {'pop': 19840, 'tracts': 6},
'Owen': {'pop': 21575, 'tracts': 5},
'Parke': {'pop': 17339, 'tracts': 4},
'Perry': {'pop': 19338, 'tracts': 5},
'Pike': {'pop': 12845, 'tracts': 4},
'Porter': {'pop': 164343, 'tracts': 32},
'Posey': {'pop': 25910, 'tracts': 7},
'Pulaski': {'pop': 13402, 'tracts': 4},
'Putnam': {'pop': 37963, 'tracts': 7},
'Randolph': {'pop': 26171, 'tracts': 8},
'Ripley': {'pop': 28818, 'tracts': 6},
'Rush': {'pop': 17392, 'tracts': 5},
'Scott': {'pop': 24181, 'tracts': 5},
'Shelby': {'pop': 44436, 'tracts': 10},
'Spencer': {'pop': 20952, 'tracts': 5},
'St. Joseph': {'pop': 266931, 'tracts': 75},
'Starke': {'pop': 23363, 'tracts': 7},
'Steuben': {'pop': 34185, 'tracts': 9},
'Sullivan': {'pop': 21475, 'tracts': 5},
'Switzerland': {'pop': 10613, 'tracts': 3},
'Tippecanoe': {'pop': 172780, 'tracts': 37},
'Tipton': {'pop': 15936, 'tracts': 4},
'Union': {'pop': 7516, 'tracts': 2},
'Vanderburgh': {'pop': 179703, 'tracts': 49},
'Vermillion': {'pop': 16212, 'tracts': 5},
'Vigo': {'pop': 107848, 'tracts': 28},
'Wabash': {'pop': 32888, 'tracts': 8},
'Warren': {'pop': 8508, 'tracts': 2},
'Warrick': {'pop': 59689, 'tracts': 11},
'Washington': {'pop': 28262, 'tracts': 6},
'Wayne': {'pop': 68917, 'tracts': 17},
'Wells': {'pop': 27636, 'tracts': 7},
'White': {'pop': 24643, 'tracts': 8},
'Whitley': {'pop': 33292, 'tracts': 7}},
'KS': {'Allen': {'pop': 13371, 'tracts': 5},
'Anderson': {'pop': 8102, 'tracts': 2},
'Atchison': {'pop': 16924, 'tracts': 4},
'Barber': {'pop': 4861, 'tracts': 2},
'Barton': {'pop': 27674, 'tracts': 8},
'Bourbon': {'pop': 15173, 'tracts': 5},
'Brown': {'pop': 9984, 'tracts': 3},
'Butler': {'pop': 65880, 'tracts': 13},
'Chase': {'pop': 2790, 'tracts': 1},
'Chautauqua': {'pop': 3669, 'tracts': 1},
'Cherokee': {'pop': 21603, 'tracts': 6},
'Cheyenne': {'pop': 2726, 'tracts': 1},
'Clark': {'pop': 2215, 'tracts': 1},
'Clay': {'pop': 8535, 'tracts': 2},
'Cloud': {'pop': 9533, 'tracts': 4},
'Coffey': {'pop': 8601, 'tracts': 3},
'Comanche': {'pop': 1891, 'tracts': 1},
'Cowley': {'pop': 36311, 'tracts': 11},
'Crawford': {'pop': 39134, 'tracts': 11},
'Decatur': {'pop': 2961, 'tracts': 2},
'Dickinson': {'pop': 19754, 'tracts': 6},
'Doniphan': {'pop': 7945, 'tracts': 3},
'Douglas': {'pop': 110826, 'tracts': 22},
'Edwards': {'pop': 3037, 'tracts': 2},
'Elk': {'pop': 2882, 'tracts': 1},
'Ellis': {'pop': 28452, 'tracts': 6},
'Ellsworth': {'pop': 6497, 'tracts': 2},
'Finney': {'pop': 36776, 'tracts': 12},
'Ford': {'pop': 33848, 'tracts': 7},
'Franklin': {'pop': 25992, 'tracts': 5},
'Geary': {'pop': 34362, 'tracts': 8},
'Gove': {'pop': 2695, 'tracts': 2},
'Graham': {'pop': 2597, 'tracts': 2},
'Grant': {'pop': 7829, 'tracts': 2},
'Gray': {'pop': 6006, 'tracts': 2},
'Greeley': {'pop': 1247, 'tracts': 1},
'Greenwood': {'pop': 6689, 'tracts': 3},
'Hamilton': {'pop': 2690, 'tracts': 1},
'Harper': {'pop': 6034, 'tracts': 3},
'Harvey': {'pop': 34684, 'tracts': 6},
'Haskell': {'pop': 4256, 'tracts': 1},
'Hodgeman': {'pop': 1916, 'tracts': 1},
'Jackson': {'pop': 13462, 'tracts': 3},
'Jefferson': {'pop': 19126, 'tracts': 4},
'Jewell': {'pop': 3077, 'tracts': 2},
'Johnson': {'pop': 544179, 'tracts': 130},
'Kearny': {'pop': 3977, 'tracts': 1},
'Kingman': {'pop': 7858, 'tracts': 3},
'Kiowa': {'pop': 2553, 'tracts': 1},
'Labette': {'pop': 21607, 'tracts': 8},
'Lane': {'pop': 1750, 'tracts': 1},
'Leavenworth': {'pop': 76227, 'tracts': 16},
'Lincoln': {'pop': 3241, 'tracts': 1},
'Linn': {'pop': 9656, 'tracts': 2},
'Logan': {'pop': 2756, 'tracts': 1},
'Lyon': {'pop': 33690, 'tracts': 8},
'Marion': {'pop': 12660, 'tracts': 4},
'Marshall': {'pop': 10117, 'tracts': 4},
'McPherson': {'pop': 29180, 'tracts': 7},
'Meade': {'pop': 4575, 'tracts': 2},
'Miami': {'pop': 32787, 'tracts': 8},
'Mitchell': {'pop': 6373, 'tracts': 2},
'Montgomery': {'pop': 35471, 'tracts': 13},
'Morris': {'pop': 5923, 'tracts': 2},
'Morton': {'pop': 3233, 'tracts': 1},
'Nemaha': {'pop': 10178, 'tracts': 3},
'Neosho': {'pop': 16512, 'tracts': 5},
'Ness': {'pop': 3107, 'tracts': 2},
'Norton': {'pop': 5671, 'tracts': 1},
'Osage': {'pop': 16295, 'tracts': 5},
'Osborne': {'pop': 3858, 'tracts': 1},
'Ottawa': {'pop': 6091, 'tracts': 2},
'Pawnee': {'pop': 6973, 'tracts': 2},
'Phillips': {'pop': 5642, 'tracts': 3},
'Pottawatomie': {'pop': 21604, 'tracts': 4},
'Pratt': {'pop': 9656, 'tracts': 3},
'Rawlins': {'pop': 2519, 'tracts': 1},
'Reno': {'pop': 64511, 'tracts': 17},
'Republic': {'pop': 4980, 'tracts': 3},
'Rice': {'pop': 10083, 'tracts': 3},
'Riley': {'pop': 71115, 'tracts': 14},
'Rooks': {'pop': 5181, 'tracts': 2},
'Rush': {'pop': 3307, 'tracts': 2},
'Russell': {'pop': 6970, 'tracts': 2},
'Saline': {'pop': 55606, 'tracts': 12},
'Scott': {'pop': 4936, 'tracts': 1},
'Sedgwick': {'pop': 498365, 'tracts': 124},
'Seward': {'pop': 22952, 'tracts': 5},
'Shawnee': {'pop': 177934, 'tracts': 43},
'Sheridan': {'pop': 2556, 'tracts': 2},
'Sherman': {'pop': 6010, 'tracts': 2},
'Smith': {'pop': 3853, 'tracts': 2},
'Stafford': {'pop': 4437, 'tracts': 2},
'Stanton': {'pop': 2235, 'tracts': 1},
'Stevens': {'pop': 5724, 'tracts': 2},
'Sumner': {'pop': 24132, 'tracts': 6},
'Thomas': {'pop': 7900, 'tracts': 2},
'Trego': {'pop': 3001, 'tracts': 1},
'Wabaunsee': {'pop': 7053, 'tracts': 2},
'Wallace': {'pop': 1485, 'tracts': 1},
'Washington': {'pop': 5799, 'tracts': 2},
'Wichita': {'pop': 2234, 'tracts': 1},
'Wilson': {'pop': 9409, 'tracts': 4},
'Woodson': {'pop': 3309, 'tracts': 2},
'Wyandotte': {'pop': 157505, 'tracts': 70}},
'KY': {'Adair': {'pop': 18656, 'tracts': 7},
'Allen': {'pop': 19956, 'tracts': 6},
'Anderson': {'pop': 21421, 'tracts': 5},
'Ballard': {'pop': 8249, 'tracts': 3},
'Barren': {'pop': 42173, 'tracts': 10},
'Bath': {'pop': 11591, 'tracts': 3},
'Bell': {'pop': 28691, 'tracts': 9},
'Boone': {'pop': 118811, 'tracts': 22},
'Bourbon': {'pop': 19985, 'tracts': 6},
'Boyd': {'pop': 49542, 'tracts': 13},
'Boyle': {'pop': 28432, 'tracts': 7},
'Bracken': {'pop': 8488, 'tracts': 3},
'Breathitt': {'pop': 13878, 'tracts': 7},
'Breckinridge': {'pop': 20059, 'tracts': 6},
'Bullitt': {'pop': 74319, 'tracts': 18},
'Butler': {'pop': 12690, 'tracts': 5},
'Caldwell': {'pop': 12984, 'tracts': 3},
'Calloway': {'pop': 37191, 'tracts': 9},
'Campbell': {'pop': 90336, 'tracts': 25},
'Carlisle': {'pop': 5104, 'tracts': 3},
'Carroll': {'pop': 10811, 'tracts': 3},
'Carter': {'pop': 27720, 'tracts': 7},
'Casey': {'pop': 15955, 'tracts': 5},
'Christian': {'pop': 73955, 'tracts': 19},
'Clark': {'pop': 35613, 'tracts': 10},
'Clay': {'pop': 21730, 'tracts': 6},
'Clinton': {'pop': 10272, 'tracts': 3},
'Crittenden': {'pop': 9315, 'tracts': 4},
'Cumberland': {'pop': 6856, 'tracts': 2},
'Daviess': {'pop': 96656, 'tracts': 23},
'Edmonson': {'pop': 12161, 'tracts': 4},
'Elliott': {'pop': 7852, 'tracts': 2},
'Estill': {'pop': 14672, 'tracts': 4},
'Fayette': {'pop': 295803, 'tracts': 82},
'Fleming': {'pop': 14348, 'tracts': 4},
'Floyd': {'pop': 39451, 'tracts': 10},
'Franklin': {'pop': 49285, 'tracts': 11},
'Fulton': {'pop': 6813, 'tracts': 2},
'Gallatin': {'pop': 8589, 'tracts': 2},
'Garrard': {'pop': 16912, 'tracts': 4},
'Grant': {'pop': 24662, 'tracts': 4},
'Graves': {'pop': 37121, 'tracts': 9},
'Grayson': {'pop': 25746, 'tracts': 7},
'Green': {'pop': 11258, 'tracts': 4},
'Greenup': {'pop': 36910, 'tracts': 9},
'Hancock': {'pop': 8565, 'tracts': 3},
'Hardin': {'pop': 105543, 'tracts': 22},
'Harlan': {'pop': 29278, 'tracts': 11},
'Harrison': {'pop': 18846, 'tracts': 5},
'Hart': {'pop': 18199, 'tracts': 5},
'Henderson': {'pop': 46250, 'tracts': 11},
'Henry': {'pop': 15416, 'tracts': 5},
'Hickman': {'pop': 4902, 'tracts': 1},
'Hopkins': {'pop': 46920, 'tracts': 12},
'Jackson': {'pop': 13494, 'tracts': 3},
'Jefferson': {'pop': 741096, 'tracts': 191},
'Jessamine': {'pop': 48586, 'tracts': 9},
'Johnson': {'pop': 23356, 'tracts': 6},
'Kenton': {'pop': 159720, 'tracts': 41},
'Knott': {'pop': 16346, 'tracts': 5},
'Knox': {'pop': 31883, 'tracts': 8},
'Larue': {'pop': 14193, 'tracts': 4},
'Laurel': {'pop': 58849, 'tracts': 13},
'Lawrence': {'pop': 15860, 'tracts': 5},
'Lee': {'pop': 7887, 'tracts': 3},
'Leslie': {'pop': 11310, 'tracts': 3},
'Letcher': {'pop': 24519, 'tracts': 7},
'Lewis': {'pop': 13870, 'tracts': 4},
'Lincoln': {'pop': 24742, 'tracts': 6},
'Livingston': {'pop': 9519, 'tracts': 2},
'Logan': {'pop': 26835, 'tracts': 6},
'Lyon': {'pop': 8314, 'tracts': 3},
'Madison': {'pop': 82916, 'tracts': 19},
'Magoffin': {'pop': 13333, 'tracts': 4},
'Marion': {'pop': 19820, 'tracts': 6},
'Marshall': {'pop': 31448, 'tracts': 6},
'Martin': {'pop': 12929, 'tracts': 3},
'Mason': {'pop': 17490, 'tracts': 5},
'McCracken': {'pop': 65565, 'tracts': 17},
'McCreary': {'pop': 18306, 'tracts': 4},
'McLean': {'pop': 9531, 'tracts': 3},
'Meade': {'pop': 28602, 'tracts': 8},
'Menifee': {'pop': 6306, 'tracts': 2},
'Mercer': {'pop': 21331, 'tracts': 5},
'Metcalfe': {'pop': 10099, 'tracts': 3},
'Monroe': {'pop': 10963, 'tracts': 4},
'Montgomery': {'pop': 26499, 'tracts': 6},
'Morgan': {'pop': 13923, 'tracts': 5},
'Muhlenberg': {'pop': 31499, 'tracts': 9},
'Nelson': {'pop': 43437, 'tracts': 9},
'Nicholas': {'pop': 7135, 'tracts': 2},
'Ohio': {'pop': 23842, 'tracts': 7},
'Oldham': {'pop': 60316, 'tracts': 14},
'Owen': {'pop': 10841, 'tracts': 3},
'Owsley': {'pop': 4755, 'tracts': 2},
'Pendleton': {'pop': 14877, 'tracts': 3},
'Perry': {'pop': 28712, 'tracts': 8},
'Pike': {'pop': 65024, 'tracts': 19},
'Powell': {'pop': 12613, 'tracts': 2},
'Pulaski': {'pop': 63063, 'tracts': 14},
'Robertson': {'pop': 2282, 'tracts': 1},
'Rockcastle': {'pop': 17056, 'tracts': 4},
'Rowan': {'pop': 23333, 'tracts': 4},
'Russell': {'pop': 17565, 'tracts': 5},
'Scott': {'pop': 47173, 'tracts': 14},
'Shelby': {'pop': 42074, 'tracts': 9},
'Simpson': {'pop': 17327, 'tracts': 4},
'Spencer': {'pop': 17061, 'tracts': 4},
'Taylor': {'pop': 24512, 'tracts': 5},
'Todd': {'pop': 12460, 'tracts': 4},
'Trigg': {'pop': 14339, 'tracts': 5},
'Trimble': {'pop': 8809, 'tracts': 2},
'Union': {'pop': 15007, 'tracts': 4},
'Warren': {'pop': 113792, 'tracts': 24},
'Washington': {'pop': 11717, 'tracts': 3},
'Wayne': {'pop': 20813, 'tracts': 5},
'Webster': {'pop': 13621, 'tracts': 4},
'Whitley': {'pop': 35637, 'tracts': 8},
'Wolfe': {'pop': 7355, 'tracts': 2},
'Woodford': {'pop': 24939, 'tracts': 8}},
'LA': {'Acadia': {'pop': 61773, 'tracts': 12},
'Allen': {'pop': 25764, 'tracts': 5},
'Ascension': {'pop': 107215, 'tracts': 14},
'Assumption': {'pop': 23421, 'tracts': 6},
'Avoyelles': {'pop': 42073, 'tracts': 9},
'Beauregard': {'pop': 35654, 'tracts': 7},
'Bienville': {'pop': 14353, 'tracts': 5},
'Bossier': {'pop': 116979, 'tracts': 22},
'Caddo': {'pop': 254969, 'tracts': 64},
'Calcasieu': {'pop': 192768, 'tracts': 44},
'Caldwell': {'pop': 10132, 'tracts': 3},
'Cameron': {'pop': 6839, 'tracts': 3},
'Catahoula': {'pop': 10407, 'tracts': 3},
'Claiborne': {'pop': 17195, 'tracts': 5},
'Concordia': {'pop': 20822, 'tracts': 5},
'De Soto': {'pop': 26656, 'tracts': 7},
'East Baton Rouge': {'pop': 440171, 'tracts': 92},
'East Carroll': {'pop': 7759, 'tracts': 3},
'East Feliciana': {'pop': 20267, 'tracts': 5},
'Evangeline': {'pop': 33984, 'tracts': 8},
'Franklin': {'pop': 20767, 'tracts': 6},
'Grant': {'pop': 22309, 'tracts': 5},
'Iberia': {'pop': 73240, 'tracts': 15},
'Iberville': {'pop': 33387, 'tracts': 7},
'Jackson': {'pop': 16274, 'tracts': 5},
'Jefferson': {'pop': 432552, 'tracts': 127},
'Jefferson Davis': {'pop': 31594, 'tracts': 7},
'La Salle': {'pop': 14890, 'tracts': 3},
'Lafayette': {'pop': 221578, 'tracts': 43},
'Lafourche': {'pop': 96318, 'tracts': 23},
'Lincoln': {'pop': 46735, 'tracts': 10},
'Livingston': {'pop': 128026, 'tracts': 17},
'Madison': {'pop': 12093, 'tracts': 5},
'Morehouse': {'pop': 27979, 'tracts': 8},
'Natchitoches': {'pop': 39566, 'tracts': 9},
'Orleans': {'pop': 343829, 'tracts': 177},
'Ouachita': {'pop': 153720, 'tracts': 40},
'Plaquemines': {'pop': 23042, 'tracts': 9},
'Pointe Coupee': {'pop': 22802, 'tracts': 6},
'Rapides': {'pop': 131613, 'tracts': 33},
'Red River': {'pop': 9091, 'tracts': 2},
'Richland': {'pop': 20725, 'tracts': 6},
'Sabine': {'pop': 24233, 'tracts': 7},
'St. Bernard': {'pop': 35897, 'tracts': 18},
'St. Charles': {'pop': 52780, 'tracts': 13},
'St. Helena': {'pop': 11203, 'tracts': 2},
'St. James': {'pop': 22102, 'tracts': 7},
'St. John the Baptist': {'pop': 45924, 'tracts': 11},
'St. Landry': {'pop': 83384, 'tracts': 19},
'St. Martin': {'pop': 52160, 'tracts': 11},
'St. Mary': {'pop': 54650, 'tracts': 16},
'St. Tammany': {'pop': 233740, 'tracts': 43},
'Tangipahoa': {'pop': 121097, 'tracts': 20},
'Tensas': {'pop': 5252, 'tracts': 3},
'Terrebonne': {'pop': 111860, 'tracts': 21},
'Union': {'pop': 22721, 'tracts': 6},
'Vermilion': {'pop': 57999, 'tracts': 12},
'Vernon': {'pop': 52334, 'tracts': 12},
'Washington': {'pop': 47168, 'tracts': 11},
'Webster': {'pop': 41207, 'tracts': 11},
'West Baton Rouge': {'pop': 23788, 'tracts': 5},
'West Carroll': {'pop': 11604, 'tracts': 3},
'West Feliciana': {'pop': 15625, 'tracts': 3},
'Winn': {'pop': 15313, 'tracts': 4}},
'MA': {'Barnstable': {'pop': 215888, 'tracts': 57},
'Berkshire': {'pop': 131219, 'tracts': 39},
'Bristol': {'pop': 548285, 'tracts': 126},
'Dukes': {'pop': 16535, 'tracts': 4},
'Essex': {'pop': 743159, 'tracts': 163},
'Franklin': {'pop': 71372, 'tracts': 18},
'Hampden': {'pop': 463490, 'tracts': 103},
'Hampshire': {'pop': 158080, 'tracts': 36},
'Middlesex': {'pop': 1503085, 'tracts': 318},
'Nantucket': {'pop': 10172, 'tracts': 6},
'Norfolk': {'pop': 670850, 'tracts': 130},
'Plymouth': {'pop': 494919, 'tracts': 100},
'Suffolk': {'pop': 722023, 'tracts': 204},
'Worcester': {'pop': 798552, 'tracts': 172}},
'MD': {'Allegany': {'pop': 75087, 'tracts': 23},
'Anne Arundel': {'pop': 537656, 'tracts': 104},
'Baltimore': {'pop': 805029, 'tracts': 214},
'Baltimore City': {'pop': 620961, 'tracts': 200},
'Calvert': {'pop': 88737, 'tracts': 18},
'Caroline': {'pop': 33066, 'tracts': 9},
'Carroll': {'pop': 167134, 'tracts': 38},
'Cecil': {'pop': 101108, 'tracts': 19},
'Charles': {'pop': 146551, 'tracts': 30},
'Dorchester': {'pop': 32618, 'tracts': 10},
'Frederick': {'pop': 233385, 'tracts': 61},
'Garrett': {'pop': 30097, 'tracts': 7},
'Harford': {'pop': 244826, 'tracts': 57},
'Howard': {'pop': 287085, 'tracts': 55},
'Kent': {'pop': 20197, 'tracts': 5},
'Montgomery': {'pop': 971777, 'tracts': 215},
"Prince George's": {'pop': 863420, 'tracts': 218},
"Queen Anne's": {'pop': 47798, 'tracts': 12},
'Somerset': {'pop': 26470, 'tracts': 8},
"St. Mary's": {'pop': 105151, 'tracts': 18},
'Talbot': {'pop': 37782, 'tracts': 10},
'Washington': {'pop': 147430, 'tracts': 32},
'Wicomico': {'pop': 98733, 'tracts': 19},
'Worcester': {'pop': 51454, 'tracts': 17}},
'ME': {'Androscoggin': {'pop': 107702, 'tracts': 28},
'Aroostook': {'pop': 71870, 'tracts': 24},
'Cumberland': {'pop': 281674, 'tracts': 67},
'Franklin': {'pop': 30768, 'tracts': 9},
'Hancock': {'pop': 54418, 'tracts': 17},
'Kennebec': {'pop': 122151, 'tracts': 31},
'Knox': {'pop': 39736, 'tracts': 11},
'Lincoln': {'pop': 34457, 'tracts': 9},
'Oxford': {'pop': 57833, 'tracts': 17},
'Penobscot': {'pop': 153923, 'tracts': 46},
'Piscataquis': {'pop': 17535, 'tracts': 8},
'Sagadahoc': {'pop': 35293, 'tracts': 8},
'Somerset': {'pop': 52228, 'tracts': 17},
'Waldo': {'pop': 38786, 'tracts': 8},
'Washington': {'pop': 32856, 'tracts': 14},
'York': {'pop': 197131, 'tracts': 41}},
'MI': {'Alcona': {'pop': 10942, 'tracts': 5},
'Alger': {'pop': 9601, 'tracts': 3},
'Allegan': {'pop': 111408, 'tracts': 25},
'Alpena': {'pop': 29598, 'tracts': 10},
'Antrim': {'pop': 23580, 'tracts': 7},
'Arenac': {'pop': 15899, 'tracts': 5},
'Baraga': {'pop': 8860, 'tracts': 2},
'Barry': {'pop': 59173, 'tracts': 11},
'Bay': {'pop': 107771, 'tracts': 26},
'Benzie': {'pop': 17525, 'tracts': 5},
'Berrien': {'pop': 156813, 'tracts': 48},
'Branch': {'pop': 45248, 'tracts': 12},
'Calhoun': {'pop': 136146, 'tracts': 39},
'Cass': {'pop': 52293, 'tracts': 11},
'Charlevoix': {'pop': 25949, 'tracts': 13},
'Cheboygan': {'pop': 26152, 'tracts': 8},
'Chippewa': {'pop': 38520, 'tracts': 14},
'Clare': {'pop': 30926, 'tracts': 11},
'Clinton': {'pop': 75382, 'tracts': 22},
'Crawford': {'pop': 14074, 'tracts': 5},
'Delta': {'pop': 37069, 'tracts': 11},
'Dickinson': {'pop': 26168, 'tracts': 7},
'Eaton': {'pop': 107759, 'tracts': 28},
'Emmet': {'pop': 32694, 'tracts': 8},
'Genesee': {'pop': 425790, 'tracts': 131},
'Gladwin': {'pop': 25692, 'tracts': 9},
'Gogebic': {'pop': 16427, 'tracts': 7},
'Grand Traverse': {'pop': 86986, 'tracts': 16},
'Gratiot': {'pop': 42476, 'tracts': 10},
'Hillsdale': {'pop': 46688, 'tracts': 12},
'Houghton': {'pop': 36628, 'tracts': 11},
'Huron': {'pop': 33118, 'tracts': 12},
'Ingham': {'pop': 280895, 'tracts': 81},
'Ionia': {'pop': 63905, 'tracts': 13},
'Iosco': {'pop': 25887, 'tracts': 9},
'Iron': {'pop': 11817, 'tracts': 5},
'Isabella': {'pop': 70311, 'tracts': 15},
'Jackson': {'pop': 160248, 'tracts': 38},
'Kalamazoo': {'pop': 250331, 'tracts': 57},
'Kalkaska': {'pop': 17153, 'tracts': 5},
'Kent': {'pop': 602622, 'tracts': 128},
'Keweenaw': {'pop': 2156, 'tracts': 2},
'Lake': {'pop': 11539, 'tracts': 4},
'Lapeer': {'pop': 88319, 'tracts': 24},
'Leelanau': {'pop': 21708, 'tracts': 6},
'Lenawee': {'pop': 99892, 'tracts': 23},
'Livingston': {'pop': 180967, 'tracts': 61},
'Luce': {'pop': 6631, 'tracts': 3},
'Mackinac': {'pop': 11113, 'tracts': 6},
'Macomb': {'pop': 840978, 'tracts': 216},
'Manistee': {'pop': 24733, 'tracts': 9},
'Marquette': {'pop': 67077, 'tracts': 24},
'Mason': {'pop': 28705, 'tracts': 8},
'Mecosta': {'pop': 42798, 'tracts': 11},
'Menominee': {'pop': 24029, 'tracts': 7},
'Midland': {'pop': 83629, 'tracts': 19},
'Missaukee': {'pop': 14849, 'tracts': 4},
'Monroe': {'pop': 152021, 'tracts': 39},
'Montcalm': {'pop': 63342, 'tracts': 13},
'Montmorency': {'pop': 9765, 'tracts': 5},
'Muskegon': {'pop': 172188, 'tracts': 42},
'Newaygo': {'pop': 48460, 'tracts': 11},
'Oakland': {'pop': 1202362, 'tracts': 338},
'Oceana': {'pop': 26570, 'tracts': 7},
'Ogemaw': {'pop': 21699, 'tracts': 7},
'Ontonagon': {'pop': 6780, 'tracts': 4},
'Osceola': {'pop': 23528, 'tracts': 6},
'Oscoda': {'pop': 8640, 'tracts': 5},
'Otsego': {'pop': 24164, 'tracts': 6},
'Ottawa': {'pop': 263801, 'tracts': 53},
'Presque Isle': {'pop': 13376, 'tracts': 6},
'Roscommon': {'pop': 24449, 'tracts': 10},
'Saginaw': {'pop': 200169, 'tracts': 56},
'Sanilac': {'pop': 43114, 'tracts': 12},
'Schoolcraft': {'pop': 8485, 'tracts': 3},
'Shiawassee': {'pop': 70648, 'tracts': 17},
'St. Clair': {'pop': 163040, 'tracts': 49},
'St. Joseph': {'pop': 61295, 'tracts': 17},
'Tuscola': {'pop': 55729, 'tracts': 13},
'Van Buren': {'pop': 76258, 'tracts': 15},
'Washtenaw': {'pop': 344791, 'tracts': 100},
'Wayne': {'pop': 1820584, 'tracts': 610},
'Wexford': {'pop': 32735, 'tracts': 8}},
'MN': {'Aitkin': {'pop': 16202, 'tracts': 6},
'Anoka': {'pop': 330844, 'tracts': 83},
'Becker': {'pop': 32504, 'tracts': 10},
'Beltrami': {'pop': 44442, 'tracts': 10},
'Benton': {'pop': 38451, 'tracts': 9},
'Big Stone': {'pop': 5269, 'tracts': 3},
'Blue Earth': {'pop': 64013, 'tracts': 16},
'Brown': {'pop': 25893, 'tracts': 8},
'Carlton': {'pop': 35386, 'tracts': 7},
'Carver': {'pop': 91042, 'tracts': 19},
'Cass': {'pop': 28567, 'tracts': 10},
'Chippewa': {'pop': 12441, 'tracts': 4},
'Chisago': {'pop': 53887, 'tracts': 10},
'Clay': {'pop': 58999, 'tracts': 13},
'Clearwater': {'pop': 8695, 'tracts': 3},
'Cook': {'pop': 5176, 'tracts': 3},
'Cottonwood': {'pop': 11687, 'tracts': 4},
'Crow Wing': {'pop': 62500, 'tracts': 16},
'Dakota': {'pop': 398552, 'tracts': 95},
'Dodge': {'pop': 20087, 'tracts': 5},
'Douglas': {'pop': 36009, 'tracts': 9},
'Faribault': {'pop': 14553, 'tracts': 6},
'Fillmore': {'pop': 20866, 'tracts': 6},
'Freeborn': {'pop': 31255, 'tracts': 10},
'Goodhue': {'pop': 46183, 'tracts': 10},
'Grant': {'pop': 6018, 'tracts': 2},
'Hennepin': {'pop': 1152425, 'tracts': 299},
'Houston': {'pop': 19027, 'tracts': 5},
'Hubbard': {'pop': 20428, 'tracts': 7},
'Isanti': {'pop': 37816, 'tracts': 8},
'Itasca': {'pop': 45058, 'tracts': 11},
'Jackson': {'pop': 10266, 'tracts': 4},
'Kanabec': {'pop': 16239, 'tracts': 4},
'Kandiyohi': {'pop': 42239, 'tracts': 12},
'Kittson': {'pop': 4552, 'tracts': 2},
'Koochiching': {'pop': 13311, 'tracts': 4},
'Lac qui Parle': {'pop': 7259, 'tracts': 3},
'Lake': {'pop': 10866, 'tracts': 3},
'Lake of the Woods': {'pop': 4045, 'tracts': 2},
'Le Sueur': {'pop': 27703, 'tracts': 6},
'Lincoln': {'pop': 5896, 'tracts': 2},
'Lyon': {'pop': 25857, 'tracts': 7},
'Mahnomen': {'pop': 5413, 'tracts': 2},
'Marshall': {'pop': 9439, 'tracts': 4},
'Martin': {'pop': 20840, 'tracts': 6},
'McLeod': {'pop': 36651, 'tracts': 7},
'Meeker': {'pop': 23300, 'tracts': 6},
'Mille Lacs': {'pop': 26097, 'tracts': 7},
'Morrison': {'pop': 33198, 'tracts': 8},
'Mower': {'pop': 39163, 'tracts': 11},
'Murray': {'pop': 8725, 'tracts': 3},
'Nicollet': {'pop': 32727, 'tracts': 7},
'Nobles': {'pop': 21378, 'tracts': 6},
'Norman': {'pop': 6852, 'tracts': 3},
'Olmsted': {'pop': 144248, 'tracts': 33},
'Otter Tail': {'pop': 57303, 'tracts': 17},
'Pennington': {'pop': 13930, 'tracts': 5},
'Pine': {'pop': 29750, 'tracts': 8},
'Pipestone': {'pop': 9596, 'tracts': 5},
'Polk': {'pop': 31600, 'tracts': 10},
'Pope': {'pop': 10995, 'tracts': 4},
'Ramsey': {'pop': 508640, 'tracts': 137},
'Red Lake': {'pop': 4089, 'tracts': 2},
'Redwood': {'pop': 16059, 'tracts': 6},
'Renville': {'pop': 15730, 'tracts': 6},
'Rice': {'pop': 64142, 'tracts': 13},
'Rock': {'pop': 9687, 'tracts': 3},
'Roseau': {'pop': 15629, 'tracts': 5},
'Scott': {'pop': 129928, 'tracts': 21},
'Sherburne': {'pop': 88499, 'tracts': 11},
'Sibley': {'pop': 15226, 'tracts': 4},
'St. Louis': {'pop': 200226, 'tracts': 66},
'Stearns': {'pop': 150642, 'tracts': 29},
'Steele': {'pop': 36576, 'tracts': 8},
'Stevens': {'pop': 9726, 'tracts': 3},
'Swift': {'pop': 9783, 'tracts': 4},
'Todd': {'pop': 24895, 'tracts': 8},
'Traverse': {'pop': 3558, 'tracts': 2},
'Wabasha': {'pop': 21676, 'tracts': 6},
'Wadena': {'pop': 13843, 'tracts': 3},
'Waseca': {'pop': 19136, 'tracts': 5},
'Washington': {'pop': 238136, 'tracts': 50},
'Watonwan': {'pop': 11211, 'tracts': 3},
'Wilkin': {'pop': 6576, 'tracts': 2},
'Winona': {'pop': 51461, 'tracts': 10},
'Wright': {'pop': 124700, 'tracts': 17},
'Yellow Medicine': {'pop': 10438, 'tracts': 4}},
'MO': {'Adair': {'pop': 25607, 'tracts': 7},
'Andrew': {'pop': 17291, 'tracts': 4},
'Atchison': {'pop': 5685, 'tracts': 2},
'Audrain': {'pop': 25529, 'tracts': 7},
'Barry': {'pop': 35597, 'tracts': 7},
'Barton': {'pop': 12402, 'tracts': 3},
'Bates': {'pop': 17049, 'tracts': 4},
'Benton': {'pop': 19056, 'tracts': 6},
'Bollinger': {'pop': 12363, 'tracts': 3},
'Boone': {'pop': 162642, 'tracts': 29},
'Buchanan': {'pop': 89201, 'tracts': 25},
'Butler': {'pop': 42794, 'tracts': 10},
'Caldwell': {'pop': 9424, 'tracts': 2},
'Callaway': {'pop': 44332, 'tracts': 8},
'Camden': {'pop': 44002, 'tracts': 11},
'Cape Girardeau': {'pop': 75674, 'tracts': 16},
'Carroll': {'pop': 9295, 'tracts': 3},
'Carter': {'pop': 6265, 'tracts': 2},
'Cass': {'pop': 99478, 'tracts': 20},
'Cedar': {'pop': 13982, 'tracts': 3},
'Chariton': {'pop': 7831, 'tracts': 3},
'Christian': {'pop': 77422, 'tracts': 14},
'Clark': {'pop': 7139, 'tracts': 3},
'Clay': {'pop': 221939, 'tracts': 44},
'Clinton': {'pop': 20743, 'tracts': 4},
'Cole': {'pop': 75990, 'tracts': 15},
'Cooper': {'pop': 17601, 'tracts': 5},
'Crawford': {'pop': 24696, 'tracts': 6},
'Dade': {'pop': 7883, 'tracts': 2},
'Dallas': {'pop': 16777, 'tracts': 3},
'Daviess': {'pop': 8433, 'tracts': 2},
'DeKalb': {'pop': 12892, 'tracts': 2},
'Dent': {'pop': 15657, 'tracts': 4},
'Douglas': {'pop': 13684, 'tracts': 3},
'Dunklin': {'pop': 31953, 'tracts': 10},
'Franklin': {'pop': 101492, 'tracts': 17},
'Gasconade': {'pop': 15222, 'tracts': 5},
'Gentry': {'pop': 6738, 'tracts': 2},
'Greene': {'pop': 275174, 'tracts': 62},
'Grundy': {'pop': 10261, 'tracts': 4},
'Harrison': {'pop': 8957, 'tracts': 3},
'Henry': {'pop': 22272, 'tracts': 6},
'Hickory': {'pop': 9627, 'tracts': 3},
'Holt': {'pop': 4912, 'tracts': 3},
'Howard': {'pop': 10144, 'tracts': 3},
'Howell': {'pop': 40400, 'tracts': 8},
'Iron': {'pop': 10630, 'tracts': 4},
'Jackson': {'pop': 674158, 'tracts': 199},
'Jasper': {'pop': 117404, 'tracts': 22},
'Jefferson': {'pop': 218733, 'tracts': 42},
'Johnson': {'pop': 52595, 'tracts': 9},
'Knox': {'pop': 4131, 'tracts': 2},
'Laclede': {'pop': 35571, 'tracts': 6},
'Lafayette': {'pop': 33381, 'tracts': 7},
'Lawrence': {'pop': 38634, 'tracts': 7},
'Lewis': {'pop': 10211, 'tracts': 4},
'Lincoln': {'pop': 52566, 'tracts': 7},
'Linn': {'pop': 12761, 'tracts': 5},
'Livingston': {'pop': 15195, 'tracts': 5},
'Macon': {'pop': 15566, 'tracts': 5},
'Madison': {'pop': 12226, 'tracts': 3},
'Maries': {'pop': 9176, 'tracts': 3},
'Marion': {'pop': 28781, 'tracts': 8},
'McDonald': {'pop': 23083, 'tracts': 4},
'Mercer': {'pop': 3785, 'tracts': 2},
'Miller': {'pop': 24748, 'tracts': 5},
'Mississippi': {'pop': 14358, 'tracts': 4},
'Moniteau': {'pop': 15607, 'tracts': 4},
'Monroe': {'pop': 8840, 'tracts': 3},
'Montgomery': {'pop': 12236, 'tracts': 4},
'Morgan': {'pop': 20565, 'tracts': 5},
'New Madrid': {'pop': 18956, 'tracts': 6},
'Newton': {'pop': 58114, 'tracts': 12},
'Nodaway': {'pop': 23370, 'tracts': 5},
'Oregon': {'pop': 10881, 'tracts': 3},
'Osage': {'pop': 13878, 'tracts': 4},
'Ozark': {'pop': 9723, 'tracts': 2},
'Pemiscot': {'pop': 18296, 'tracts': 6},
'Perry': {'pop': 18971, 'tracts': 5},
'Pettis': {'pop': 42201, 'tracts': 11},
'Phelps': {'pop': 45156, 'tracts': 10},
'Pike': {'pop': 18516, 'tracts': 5},
'Platte': {'pop': 89322, 'tracts': 20},
'Polk': {'pop': 31137, 'tracts': 4},
'Pulaski': {'pop': 52274, 'tracts': 9},
'Putnam': {'pop': 4979, 'tracts': 2},
'Ralls': {'pop': 10167, 'tracts': 3},
'Randolph': {'pop': 25414, 'tracts': 6},
'Ray': {'pop': 23494, 'tracts': 4},
'Reynolds': {'pop': 6696, 'tracts': 2},
'Ripley': {'pop': 14100, 'tracts': 4},
'Saline': {'pop': 23370, 'tracts': 8},
'Schuyler': {'pop': 4431, 'tracts': 2},
'Scotland': {'pop': 4843, 'tracts': 2},
'Scott': {'pop': 39191, 'tracts': 10},
'Shannon': {'pop': 8441, 'tracts': 2},
'Shelby': {'pop': 6373, 'tracts': 3},
'St. Charles': {'pop': 360485, 'tracts': 79},
'St. Clair': {'pop': 9805, 'tracts': 3},
'St. Francois': {'pop': 65359, 'tracts': 11},
'St. Louis': {'pop': 998954, 'tracts': 199},
'St. Louis City': {'pop': 319294, 'tracts': 106},
'Ste. Genevieve': {'pop': 18145, 'tracts': 4},
'Stoddard': {'pop': 29968, 'tracts': 8},
'Stone': {'pop': 32202, 'tracts': 6},
'Sullivan': {'pop': 6714, 'tracts': 3},
'Taney': {'pop': 51675, 'tracts': 10},
'Texas': {'pop': 26008, 'tracts': 4},
'Vernon': {'pop': 21159, 'tracts': 6},
'Warren': {'pop': 32513, 'tracts': 5},
'Washington': {'pop': 25195, 'tracts': 5},
'Wayne': {'pop': 13521, 'tracts': 4},
'Webster': {'pop': 36202, 'tracts': 8},
'Worth': {'pop': 2171, 'tracts': 1},
'Wright': {'pop': 18815, 'tracts': 4}},
'MS': {'Adams': {'pop': 32297, 'tracts': 9},
'Alcorn': {'pop': 37057, 'tracts': 7},
'Amite': {'pop': 13131, 'tracts': 3},
'Attala': {'pop': 19564, 'tracts': 6},
'Benton': {'pop': 8729, 'tracts': 2},
'Bolivar': {'pop': 34145, 'tracts': 8},
'Calhoun': {'pop': 14962, 'tracts': 5},
'Carroll': {'pop': 10597, 'tracts': 2},
'Chickasaw': {'pop': 17392, 'tracts': 4},
'Choctaw': {'pop': 8547, 'tracts': 3},
'Claiborne': {'pop': 9604, 'tracts': 3},
'Clarke': {'pop': 16732, 'tracts': 4},
'Clay': {'pop': 20634, 'tracts': 5},
'Coahoma': {'pop': 26151, 'tracts': 7},
'Copiah': {'pop': 29449, 'tracts': 6},
'Covington': {'pop': 19568, 'tracts': 4},
'DeSoto': {'pop': 161252, 'tracts': 33},
'Forrest': {'pop': 74934, 'tracts': 17},
'Franklin': {'pop': 8118, 'tracts': 2},
'George': {'pop': 22578, 'tracts': 5},
'Greene': {'pop': 14400, 'tracts': 2},
'Grenada': {'pop': 21906, 'tracts': 5},
'Hancock': {'pop': 43929, 'tracts': 7},
'Harrison': {'pop': 187105, 'tracts': 46},
'Hinds': {'pop': 245285, 'tracts': 64},
'Holmes': {'pop': 19198, 'tracts': 5},
'Humphreys': {'pop': 9375, 'tracts': 3},
'Issaquena': {'pop': 1406, 'tracts': 1},
'Itawamba': {'pop': 23401, 'tracts': 5},
'Jackson': {'pop': 139668, 'tracts': 28},
'Jasper': {'pop': 17062, 'tracts': 4},
'Jefferson': {'pop': 7726, 'tracts': 2},
'Jefferson Davis': {'pop': 12487, 'tracts': 3},
'Jones': {'pop': 67761, 'tracts': 14},
'Kemper': {'pop': 10456, 'tracts': 2},
'Lafayette': {'pop': 47351, 'tracts': 10},
'Lamar': {'pop': 55658, 'tracts': 8},
'Lauderdale': {'pop': 80261, 'tracts': 19},
'Lawrence': {'pop': 12929, 'tracts': 3},
'Leake': {'pop': 23805, 'tracts': 5},
'Lee': {'pop': 82910, 'tracts': 19},
'Leflore': {'pop': 32317, 'tracts': 8},
'Lincoln': {'pop': 34869, 'tracts': 6},
'Lowndes': {'pop': 59779, 'tracts': 14},
'Madison': {'pop': 95203, 'tracts': 21},
'Marion': {'pop': 27088, 'tracts': 6},
'Marshall': {'pop': 37144, 'tracts': 6},
'Monroe': {'pop': 36989, 'tracts': 9},
'Montgomery': {'pop': 10925, 'tracts': 3},
'Neshoba': {'pop': 29676, 'tracts': 7},
'Newton': {'pop': 21720, 'tracts': 5},
'Noxubee': {'pop': 11545, 'tracts': 3},
'Oktibbeha': {'pop': 47671, 'tracts': 8},
'Panola': {'pop': 34707, 'tracts': 6},
'Pearl River': {'pop': 55834, 'tracts': 9},
'Perry': {'pop': 12250, 'tracts': 3},
'Pike': {'pop': 40404, 'tracts': 8},
'Pontotoc': {'pop': 29957, 'tracts': 6},
'Prentiss': {'pop': 25276, 'tracts': 5},
'Quitman': {'pop': 8223, 'tracts': 3},
'Rankin': {'pop': 141617, 'tracts': 27},
'Scott': {'pop': 28264, 'tracts': 6},
'Sharkey': {'pop': 4916, 'tracts': 2},
'Simpson': {'pop': 27503, 'tracts': 5},
'Smith': {'pop': 16491, 'tracts': 3},
'Stone': {'pop': 17786, 'tracts': 3},
'Sunflower': {'pop': 29450, 'tracts': 7},
'Tallahatchie': {'pop': 15378, 'tracts': 4},
'Tate': {'pop': 28886, 'tracts': 5},
'Tippah': {'pop': 22232, 'tracts': 4},
'Tishomingo': {'pop': 19593, 'tracts': 4},
'Tunica': {'pop': 10778, 'tracts': 3},
'Union': {'pop': 27134, 'tracts': 6},
'Walthall': {'pop': 15443, 'tracts': 3},
'Warren': {'pop': 48773, 'tracts': 12},
'Washington': {'pop': 51137, 'tracts': 19},
'Wayne': {'pop': 20747, 'tracts': 4},
'Webster': {'pop': 10253, 'tracts': 3},
'Wilkinson': {'pop': 9878, 'tracts': 2},
'Winston': {'pop': 19198, 'tracts': 5},
'Yalobusha': {'pop': 12678, 'tracts': 3},
'Yazoo': {'pop': 28065, 'tracts': 6}},
'MT': {'Beaverhead': {'pop': 9246, 'tracts': 3},
'Big Horn': {'pop': 12865, 'tracts': 5},
'Blaine': {'pop': 6491, 'tracts': 4},
'Broadwater': {'pop': 5612, 'tracts': 2},
'Carbon': {'pop': 10078, 'tracts': 5},
'Carter': {'pop': 1160, 'tracts': 1},
'Cascade': {'pop': 81327, 'tracts': 22},
'Chouteau': {'pop': 5813, 'tracts': 2},
'Custer': {'pop': 11699, 'tracts': 6},
'Daniels': {'pop': 1751, 'tracts': 1},
'Dawson': {'pop': 8966, 'tracts': 3},
'Deer Lodge': {'pop': 9298, 'tracts': 3},
'Fallon': {'pop': 2890, 'tracts': 1},
'Fergus': {'pop': 11586, 'tracts': 2},
'Flathead': {'pop': 90928, 'tracts': 19},
'Gallatin': {'pop': 89513, 'tracts': 22},
'Garfield': {'pop': 1206, 'tracts': 1},
'Glacier': {'pop': 13399, 'tracts': 4},
'Golden Valley': {'pop': 884, 'tracts': 1},
'Granite': {'pop': 3079, 'tracts': 1},
'Hill': {'pop': 16096, 'tracts': 6},
'Jefferson': {'pop': 11406, 'tracts': 3},
'Judith Basin': {'pop': 2072, 'tracts': 1},
'Lake': {'pop': 28746, 'tracts': 8},
'Lewis and Clark': {'pop': 63395, 'tracts': 14},
'Liberty': {'pop': 2339, 'tracts': 1},
'Lincoln': {'pop': 19687, 'tracts': 5},
'Madison': {'pop': 7691, 'tracts': 3},
'McCone': {'pop': 1734, 'tracts': 1},
'Meagher': {'pop': 1891, 'tracts': 1},
'Mineral': {'pop': 4223, 'tracts': 2},
'Missoula': {'pop': 109299, 'tracts': 20},
'Musselshell': {'pop': 4538, 'tracts': 2},
'Park': {'pop': 15636, 'tracts': 6},
'Petroleum': {'pop': 494, 'tracts': 1},
'Phillips': {'pop': 4253, 'tracts': 1},
'Pondera': {'pop': 6153, 'tracts': 2},
'Powder River': {'pop': 1743, 'tracts': 1},
'Powell': {'pop': 7027, 'tracts': 2},
'Prairie': {'pop': 1179, 'tracts': 1},
'Ravalli': {'pop': 40212, 'tracts': 10},
'Richland': {'pop': 9746, 'tracts': 4},
'Roosevelt': {'pop': 10425, 'tracts': 3},
'Rosebud': {'pop': 9233, 'tracts': 4},
'Sanders': {'pop': 11413, 'tracts': 3},
'Sheridan': {'pop': 3384, 'tracts': 2},
'Silver Bow': {'pop': 34200, 'tracts': 8},
'Stillwater': {'pop': 9117, 'tracts': 3},
'Sweet Grass': {'pop': 3651, 'tracts': 1},
'Teton': {'pop': 6073, 'tracts': 3},
'Toole': {'pop': 5324, 'tracts': 3},
'Treasure': {'pop': 718, 'tracts': 1},
'Valley': {'pop': 7369, 'tracts': 3},
'Wheatland': {'pop': 2168, 'tracts': 1},
'Wibaux': {'pop': 1017, 'tracts': 1},
'Yellowstone': {'pop': 147972, 'tracts': 32}},
'NC': {'Alamance': {'pop': 151131, 'tracts': 36},
'Alexander': {'pop': 37198, 'tracts': 7},
'Alleghany': {'pop': 11155, 'tracts': 3},
'Anson': {'pop': 26948, 'tracts': 6},
'Ashe': {'pop': 27281, 'tracts': 6},
'Avery': {'pop': 17797, 'tracts': 5},
'Beaufort': {'pop': 47759, 'tracts': 11},
'Bertie': {'pop': 21282, 'tracts': 4},
'Bladen': {'pop': 35190, 'tracts': 6},
'Brunswick': {'pop': 107431, 'tracts': 33},
'Buncombe': {'pop': 238318, 'tracts': 56},
'Burke': {'pop': 90912, 'tracts': 18},
'Cabarrus': {'pop': 178011, 'tracts': 37},
'Caldwell': {'pop': 83029, 'tracts': 17},
'Camden': {'pop': 9980, 'tracts': 2},
'Carteret': {'pop': 66469, 'tracts': 38},
'Caswell': {'pop': 23719, 'tracts': 6},
'Catawba': {'pop': 154358, 'tracts': 31},
'Chatham': {'pop': 63505, 'tracts': 13},
'Cherokee': {'pop': 27444, 'tracts': 7},
'Chowan': {'pop': 14793, 'tracts': 3},
'Clay': {'pop': 10587, 'tracts': 2},
'Cleveland': {'pop': 98078, 'tracts': 22},
'Columbus': {'pop': 58098, 'tracts': 13},
'Craven': {'pop': 103505, 'tracts': 21},
'Cumberland': {'pop': 319431, 'tracts': 68},
'Currituck': {'pop': 23547, 'tracts': 8},
'Dare': {'pop': 33920, 'tracts': 11},
'Davidson': {'pop': 162878, 'tracts': 34},
'Davie': {'pop': 41240, 'tracts': 7},
'Duplin': {'pop': 58505, 'tracts': 11},
'Durham': {'pop': 267587, 'tracts': 60},
'Edgecombe': {'pop': 56552, 'tracts': 14},
'Forsyth': {'pop': 350670, 'tracts': 93},
'Franklin': {'pop': 60619, 'tracts': 12},
'Gaston': {'pop': 206086, 'tracts': 65},
'Gates': {'pop': 12197, 'tracts': 3},
'Graham': {'pop': 8861, 'tracts': 3},
'Granville': {'pop': 59916, 'tracts': 13},
'Greene': {'pop': 21362, 'tracts': 4},
'Guilford': {'pop': 488406, 'tracts': 119},
'Halifax': {'pop': 54691, 'tracts': 12},
'Harnett': {'pop': 114678, 'tracts': 27},
'Haywood': {'pop': 59036, 'tracts': 16},
'Henderson': {'pop': 106740, 'tracts': 27},
'Hertford': {'pop': 24669, 'tracts': 5},
'Hoke': {'pop': 46952, 'tracts': 9},
'Hyde': {'pop': 5810, 'tracts': 2},
'Iredell': {'pop': 159437, 'tracts': 44},
'Jackson': {'pop': 40271, 'tracts': 9},
'Johnston': {'pop': 168878, 'tracts': 25},
'Jones': {'pop': 10153, 'tracts': 3},
'Lee': {'pop': 57866, 'tracts': 13},
'Lenoir': {'pop': 59495, 'tracts': 15},
'Lincoln': {'pop': 78265, 'tracts': 18},
'Macon': {'pop': 33922, 'tracts': 9},
'Madison': {'pop': 20764, 'tracts': 6},
'Martin': {'pop': 24505, 'tracts': 6},
'McDowell': {'pop': 44996, 'tracts': 10},
'Mecklenburg': {'pop': 919628, 'tracts': 233},
'Mitchell': {'pop': 15579, 'tracts': 4},
'Montgomery': {'pop': 27798, 'tracts': 6},
'Moore': {'pop': 88247, 'tracts': 18},
'Nash': {'pop': 95840, 'tracts': 18},
'New Hanover': {'pop': 202667, 'tracts': 45},
'Northampton': {'pop': 22099, 'tracts': 5},
'Onslow': {'pop': 177772, 'tracts': 32},
'Orange': {'pop': 133801, 'tracts': 28},
'Pamlico': {'pop': 13144, 'tracts': 4},
'Pasquotank': {'pop': 40661, 'tracts': 10},
'Pender': {'pop': 52217, 'tracts': 16},
'Perquimans': {'pop': 13453, 'tracts': 3},
'Person': {'pop': 39464, 'tracts': 7},
'Pitt': {'pop': 168148, 'tracts': 32},
'Polk': {'pop': 20510, 'tracts': 7},
'Randolph': {'pop': 141752, 'tracts': 28},
'Richmond': {'pop': 46639, 'tracts': 11},
'Robeson': {'pop': 134168, 'tracts': 31},
'Rockingham': {'pop': 93643, 'tracts': 21},
'Rowan': {'pop': 138428, 'tracts': 30},
'Rutherford': {'pop': 67810, 'tracts': 13},
'Sampson': {'pop': 63431, 'tracts': 11},
'Scotland': {'pop': 36157, 'tracts': 7},
'Stanly': {'pop': 60585, 'tracts': 13},
'Stokes': {'pop': 47401, 'tracts': 9},
'Surry': {'pop': 73673, 'tracts': 22},
'Swain': {'pop': 13981, 'tracts': 5},
'Transylvania': {'pop': 33090, 'tracts': 7},
'Tyrrell': {'pop': 4407, 'tracts': 1},
'Union': {'pop': 201292, 'tracts': 41},
'Vance': {'pop': 45422, 'tracts': 10},
'Wake': {'pop': 900993, 'tracts': 187},
'Warren': {'pop': 20972, 'tracts': 6},
'Washington': {'pop': 13228, 'tracts': 3},
'Watauga': {'pop': 51079, 'tracts': 13},
'Wayne': {'pop': 122623, 'tracts': 26},
'Wilkes': {'pop': 69340, 'tracts': 14},
'Wilson': {'pop': 81234, 'tracts': 19},
'Yadkin': {'pop': 38406, 'tracts': 7},
'Yancey': {'pop': 17818, 'tracts': 5}},
'ND': {'Adams': {'pop': 2343, 'tracts': 1},
'Barnes': {'pop': 11066, 'tracts': 4},
'Benson': {'pop': 6660, 'tracts': 4},
'Billings': {'pop': 783, 'tracts': 1},
'Bottineau': {'pop': 6429, 'tracts': 3},
'Bowman': {'pop': 3151, 'tracts': 2},
'Burke': {'pop': 1968, 'tracts': 1},
'Burleigh': {'pop': 81308, 'tracts': 19},
'Cass': {'pop': 149778, 'tracts': 33},
'Cavalier': {'pop': 3993, 'tracts': 2},
'Dickey': {'pop': 5289, 'tracts': 3},
'Divide': {'pop': 2071, 'tracts': 1},
'Dunn': {'pop': 3536, 'tracts': 1},
'Eddy': {'pop': 2385, 'tracts': 1},
'Emmons': {'pop': 3550, 'tracts': 1},
'Foster': {'pop': 3343, 'tracts': 1},
'Golden Valley': {'pop': 1680, 'tracts': 1},
'Grand Forks': {'pop': 66861, 'tracts': 18},
'Grant': {'pop': 2394, 'tracts': 1},
'Griggs': {'pop': 2420, 'tracts': 1},
'Hettinger': {'pop': 2477, 'tracts': 2},
'Kidder': {'pop': 2435, 'tracts': 1},
'LaMoure': {'pop': 4139, 'tracts': 2},
'Logan': {'pop': 1990, 'tracts': 1},
'McHenry': {'pop': 5395, 'tracts': 2},
'McIntosh': {'pop': 2809, 'tracts': 1},
'McKenzie': {'pop': 6360, 'tracts': 4},
'McLean': {'pop': 8962, 'tracts': 2},
'Mercer': {'pop': 8424, 'tracts': 3},
'Morton': {'pop': 27471, 'tracts': 5},
'Mountrail': {'pop': 7673, 'tracts': 3},
'Nelson': {'pop': 3126, 'tracts': 1},
'Oliver': {'pop': 1846, 'tracts': 1},
'Pembina': {'pop': 7413, 'tracts': 5},
'Pierce': {'pop': 4357, 'tracts': 2},
'Ramsey': {'pop': 11451, 'tracts': 3},
'Ransom': {'pop': 5457, 'tracts': 3},
'Renville': {'pop': 2470, 'tracts': 1},
'Richland': {'pop': 16321, 'tracts': 6},
'Rolette': {'pop': 13937, 'tracts': 4},
'Sargent': {'pop': 3829, 'tracts': 2},
'Sheridan': {'pop': 1321, 'tracts': 1},
'Sioux': {'pop': 4153, 'tracts': 2},
'Slope': {'pop': 727, 'tracts': 1},
'Stark': {'pop': 24199, 'tracts': 8},
'Steele': {'pop': 1975, 'tracts': 1},
'Stutsman': {'pop': 21100, 'tracts': 6},
'Towner': {'pop': 2246, 'tracts': 1},
'Traill': {'pop': 8121, 'tracts': 4},
'Walsh': {'pop': 11119, 'tracts': 6},
'Ward': {'pop': 61675, 'tracts': 13},
'Wells': {'pop': 4207, 'tracts': 2},
'Williams': {'pop': 22398, 'tracts': 7}},
'NE': {'Adams': {'pop': 31364, 'tracts': 9},
'Antelope': {'pop': 6685, 'tracts': 3},
'Arthur': {'pop': 460, 'tracts': 1},
'Banner': {'pop': 690, 'tracts': 1},
'Blaine': {'pop': 478, 'tracts': 1},
'Boone': {'pop': 5505, 'tracts': 2},
'Box Butte': {'pop': 11308, 'tracts': 3},
'Boyd': {'pop': 2099, 'tracts': 1},
'Brown': {'pop': 3145, 'tracts': 1},
'Buffalo': {'pop': 46102, 'tracts': 11},
'Burt': {'pop': 6858, 'tracts': 3},
'Butler': {'pop': 8395, 'tracts': 3},
'Cass': {'pop': 25241, 'tracts': 6},
'Cedar': {'pop': 8852, 'tracts': 2},
'Chase': {'pop': 3966, 'tracts': 1},
'Cherry': {'pop': 5713, 'tracts': 2},
'Cheyenne': {'pop': 9998, 'tracts': 3},
'Clay': {'pop': 6542, 'tracts': 2},
'Colfax': {'pop': 10515, 'tracts': 3},
'Cuming': {'pop': 9139, 'tracts': 3},
'Custer': {'pop': 10939, 'tracts': 4},
'Dakota': {'pop': 21006, 'tracts': 4},
'Dawes': {'pop': 9182, 'tracts': 2},
'Dawson': {'pop': 24326, 'tracts': 7},
'Deuel': {'pop': 1941, 'tracts': 1},
'Dixon': {'pop': 6000, 'tracts': 2},
'Dodge': {'pop': 36691, 'tracts': 9},
'Douglas': {'pop': 517110, 'tracts': 156},
'Dundy': {'pop': 2008, 'tracts': 1},
'Fillmore': {'pop': 5890, 'tracts': 2},
'Franklin': {'pop': 3225, 'tracts': 2},
'Frontier': {'pop': 2756, 'tracts': 1},
'Furnas': {'pop': 4959, 'tracts': 1},
'Gage': {'pop': 22311, 'tracts': 7},
'Garden': {'pop': 2057, 'tracts': 1},
'Garfield': {'pop': 2049, 'tracts': 1},
'Gosper': {'pop': 2044, 'tracts': 1},
'Grant': {'pop': 614, 'tracts': 1},
'Greeley': {'pop': 2538, 'tracts': 1},
'Hall': {'pop': 58607, 'tracts': 14},
'Hamilton': {'pop': 9124, 'tracts': 3},
'Harlan': {'pop': 3423, 'tracts': 1},
'Hayes': {'pop': 967, 'tracts': 1},
'Hitchcock': {'pop': 2908, 'tracts': 1},
'Holt': {'pop': 10435, 'tracts': 4},
'Hooker': {'pop': 736, 'tracts': 1},
'Howard': {'pop': 6274, 'tracts': 2},
'Jefferson': {'pop': 7547, 'tracts': 3},
'Johnson': {'pop': 5217, 'tracts': 2},
'Kearney': {'pop': 6489, 'tracts': 2},
'Keith': {'pop': 8368, 'tracts': 3},
'Keya Paha': {'pop': 824, 'tracts': 1},
'Kimball': {'pop': 3821, 'tracts': 1},
'Knox': {'pop': 8701, 'tracts': 3},
'Lancaster': {'pop': 285407, 'tracts': 74},
'Lincoln': {'pop': 36288, 'tracts': 8},
'Logan': {'pop': 763, 'tracts': 1},
'Loup': {'pop': 632, 'tracts': 1},
'Madison': {'pop': 34876, 'tracts': 9},
'McPherson': {'pop': 539, 'tracts': 1},
'Merrick': {'pop': 7845, 'tracts': 3},
'Morrill': {'pop': 5042, 'tracts': 1},
'Nance': {'pop': 3735, 'tracts': 1},
'Nemaha': {'pop': 7248, 'tracts': 2},
'Nuckolls': {'pop': 4500, 'tracts': 2},
'Otoe': {'pop': 15740, 'tracts': 5},
'Pawnee': {'pop': 2773, 'tracts': 1},
'Perkins': {'pop': 2970, 'tracts': 1},
'Phelps': {'pop': 9188, 'tracts': 3},
'Pierce': {'pop': 7266, 'tracts': 2},
'Platte': {'pop': 32237, 'tracts': 7},
'Polk': {'pop': 5406, 'tracts': 2},
'Red Willow': {'pop': 11055, 'tracts': 3},
'Richardson': {'pop': 8363, 'tracts': 3},
'Rock': {'pop': 1526, 'tracts': 1},
'Saline': {'pop': 14200, 'tracts': 4},
'Sarpy': {'pop': 158840, 'tracts': 43},
'Saunders': {'pop': 20780, 'tracts': 5},
'Scotts Bluff': {'pop': 36970, 'tracts': 11},
'Seward': {'pop': 16750, 'tracts': 4},
'Sheridan': {'pop': 5469, 'tracts': 2},
'Sherman': {'pop': 3152, 'tracts': 1},
'Sioux': {'pop': 1311, 'tracts': 1},
'Stanton': {'pop': 6129, 'tracts': 2},
'Thayer': {'pop': 5228, 'tracts': 2},
'Thomas': {'pop': 647, 'tracts': 1},
'Thurston': {'pop': 6940, 'tracts': 2},
'Valley': {'pop': 4260, 'tracts': 2},
'Washington': {'pop': 20234, 'tracts': 5},
'Wayne': {'pop': 9595, 'tracts': 2},
'Webster': {'pop': 3812, 'tracts': 2},
'Wheeler': {'pop': 818, 'tracts': 1},
'York': {'pop': 13665, 'tracts': 4}},
'NH': {'Belknap': {'pop': 60088, 'tracts': 15},
'Carroll': {'pop': 47818, 'tracts': 11},
'Cheshire': {'pop': 77117, 'tracts': 16},
'Coos': {'pop': 33055, 'tracts': 11},
'Grafton': {'pop': 89118, 'tracts': 19},
'Hillsborough': {'pop': 400721, 'tracts': 86},
'Merrimack': {'pop': 146445, 'tracts': 36},
'Rockingham': {'pop': 295223, 'tracts': 66},
'Strafford': {'pop': 123143, 'tracts': 25},
'Sullivan': {'pop': 43742, 'tracts': 10}},
'NJ': {'Atlantic': {'pop': 274549, 'tracts': 69},
'Bergen': {'pop': 905116, 'tracts': 179},
'Burlington': {'pop': 448734, 'tracts': 114},
'Camden': {'pop': 513657, 'tracts': 127},
'Cape May': {'pop': 97265, 'tracts': 32},
'Cumberland': {'pop': 156898, 'tracts': 35},
'Essex': {'pop': 783969, 'tracts': 210},
'Gloucester': {'pop': 288288, 'tracts': 63},
'Hudson': {'pop': 634266, 'tracts': 166},
'Hunterdon': {'pop': 128349, 'tracts': 26},
'Mercer': {'pop': 366513, 'tracts': 77},
'Middlesex': {'pop': 809858, 'tracts': 175},
'Monmouth': {'pop': 630380, 'tracts': 144},
'Morris': {'pop': 492276, 'tracts': 100},
'Ocean': {'pop': 576567, 'tracts': 126},
'Passaic': {'pop': 501226, 'tracts': 100},
'Salem': {'pop': 66083, 'tracts': 24},
'Somerset': {'pop': 323444, 'tracts': 68},
'Sussex': {'pop': 149265, 'tracts': 41},
'Union': {'pop': 536499, 'tracts': 108},
'Warren': {'pop': 108692, 'tracts': 23}},
'NM': {'Bernalillo': {'pop': 662564, 'tracts': 153},
'Catron': {'pop': 3725, 'tracts': 1},
'Chaves': {'pop': 65645, 'tracts': 16},
'Cibola': {'pop': 27213, 'tracts': 7},
'Colfax': {'pop': 13750, 'tracts': 3},
'Curry': {'pop': 48376, 'tracts': 12},
'De Baca': {'pop': 2022, 'tracts': 1},
'Dona Ana': {'pop': 209233, 'tracts': 41},
'Eddy': {'pop': 53829, 'tracts': 12},
'Grant': {'pop': 29514, 'tracts': 8},
'Guadalupe': {'pop': 4687, 'tracts': 1},
'Harding': {'pop': 695, 'tracts': 1},
'Hidalgo': {'pop': 4894, 'tracts': 2},
'Lea': {'pop': 64727, 'tracts': 18},
'Lincoln': {'pop': 20497, 'tracts': 5},
'Los Alamos': {'pop': 17950, 'tracts': 4},
'Luna': {'pop': 25095, 'tracts': 6},
'McKinley': {'pop': 71492, 'tracts': 17},
'Mora': {'pop': 4881, 'tracts': 1},
'Otero': {'pop': 63797, 'tracts': 16},
'Quay': {'pop': 9041, 'tracts': 3},
'Rio Arriba': {'pop': 40246, 'tracts': 9},
'Roosevelt': {'pop': 19846, 'tracts': 5},
'San Juan': {'pop': 130044, 'tracts': 33},
'San Miguel': {'pop': 29393, 'tracts': 7},
'Sandoval': {'pop': 131561, 'tracts': 28},
'Santa Fe': {'pop': 144170, 'tracts': 50},
'Sierra': {'pop': 11988, 'tracts': 4},
'Socorro': {'pop': 17866, 'tracts': 6},
'Taos': {'pop': 32937, 'tracts': 6},
'Torrance': {'pop': 16383, 'tracts': 4},
'Union': {'pop': 4549, 'tracts': 1},
'Valencia': {'pop': 76569, 'tracts': 18}},
'NV': {'Carson City': {'pop': 55274, 'tracts': 14},
'Churchill': {'pop': 24877, 'tracts': 7},
'Clark': {'pop': 1951269, 'tracts': 487},
'Douglas': {'pop': 46997, 'tracts': 17},
'Elko': {'pop': 48818, 'tracts': 14},
'Esmeralda': {'pop': 783, 'tracts': 1},
'Eureka': {'pop': 1987, 'tracts': 1},
'Humboldt': {'pop': 16528, 'tracts': 4},
'Lander': {'pop': 5775, 'tracts': 1},
'Lincoln': {'pop': 5345, 'tracts': 2},
'Lyon': {'pop': 51980, 'tracts': 10},
'Mineral': {'pop': 4772, 'tracts': 2},
'Nye': {'pop': 43946, 'tracts': 10},
'Pershing': {'pop': 6753, 'tracts': 1},
'Storey': {'pop': 4010, 'tracts': 1},
'Washoe': {'pop': 421407, 'tracts': 112},
'White Pine': {'pop': 10030, 'tracts': 3}},
'NY': {'Albany': {'pop': 304204, 'tracts': 75},
'Allegany': {'pop': 48946, 'tracts': 13},
'Bronx': {'pop': 1385108, 'tracts': 339},
'Broome': {'pop': 200600, 'tracts': 55},
'Cattaraugus': {'pop': 80317, 'tracts': 21},
'Cayuga': {'pop': 80026, 'tracts': 20},
'Chautauqua': {'pop': 134905, 'tracts': 35},
'Chemung': {'pop': 88830, 'tracts': 22},
'Chenango': {'pop': 50477, 'tracts': 12},
'Clinton': {'pop': 82128, 'tracts': 19},
'Columbia': {'pop': 63096, 'tracts': 21},
'Cortland': {'pop': 49336, 'tracts': 12},
'Delaware': {'pop': 47980, 'tracts': 14},
'Dutchess': {'pop': 297488, 'tracts': 79},
'Erie': {'pop': 919040, 'tracts': 237},
'Essex': {'pop': 39370, 'tracts': 13},
'Franklin': {'pop': 51599, 'tracts': 14},
'Fulton': {'pop': 55531, 'tracts': 15},
'Genesee': {'pop': 60079, 'tracts': 15},
'Greene': {'pop': 49221, 'tracts': 15},
'Hamilton': {'pop': 4836, 'tracts': 4},
'Herkimer': {'pop': 64519, 'tracts': 19},
'Jefferson': {'pop': 116229, 'tracts': 26},
'Kings': {'pop': 2504700, 'tracts': 760},
'Lewis': {'pop': 27087, 'tracts': 7},
'Livingston': {'pop': 65393, 'tracts': 15},
'Madison': {'pop': 73442, 'tracts': 16},
'Monroe': {'pop': 744344, 'tracts': 192},
'Montgomery': {'pop': 50219, 'tracts': 16},
'Nassau': {'pop': 1339532, 'tracts': 280},
'New York': {'pop': 1585873, 'tracts': 288},
'Niagara': {'pop': 216469, 'tracts': 61},
'Oneida': {'pop': 234878, 'tracts': 74},
'Onondaga': {'pop': 467026, 'tracts': 140},
'Ontario': {'pop': 107931, 'tracts': 25},
'Orange': {'pop': 372813, 'tracts': 79},
'Orleans': {'pop': 42883, 'tracts': 11},
'Oswego': {'pop': 122109, 'tracts': 29},
'Otsego': {'pop': 62259, 'tracts': 17},
'Putnam': {'pop': 99710, 'tracts': 19},
'Queens': {'pop': 2230722, 'tracts': 669},
'Rensselaer': {'pop': 159429, 'tracts': 42},
'Richmond': {'pop': 468730, 'tracts': 109},
'Rockland': {'pop': 311687, 'tracts': 65},
'Saratoga': {'pop': 219607, 'tracts': 50},
'Schenectady': {'pop': 154727, 'tracts': 43},
'Schoharie': {'pop': 32749, 'tracts': 8},
'Schuyler': {'pop': 18343, 'tracts': 5},
'Seneca': {'pop': 35251, 'tracts': 10},
'St. Lawrence': {'pop': 111944, 'tracts': 28},
'Steuben': {'pop': 98990, 'tracts': 30},
'Suffolk': {'pop': 1493350, 'tracts': 322},
'Sullivan': {'pop': 77547, 'tracts': 24},
'Tioga': {'pop': 51125, 'tracts': 10},
'Tompkins': {'pop': 101564, 'tracts': 23},
'Ulster': {'pop': 182493, 'tracts': 47},
'Warren': {'pop': 65707, 'tracts': 19},
'Washington': {'pop': 63216, 'tracts': 17},
'Wayne': {'pop': 93772, 'tracts': 23},
'Westchester': {'pop': 949113, 'tracts': 223},
'Wyoming': {'pop': 42155, 'tracts': 11},
'Yates': {'pop': 25348, 'tracts': 5}},
'OH': {'Adams': {'pop': 28550, 'tracts': 6},
'Allen': {'pop': 106331, 'tracts': 33},
'Ashland': {'pop': 53139, 'tracts': 11},
'Ashtabula': {'pop': 101497, 'tracts': 25},
'Athens': {'pop': 64757, 'tracts': 15},
'Auglaize': {'pop': 45949, 'tracts': 11},
'Belmont': {'pop': 70400, 'tracts': 20},
'Brown': {'pop': 44846, 'tracts': 9},
'Butler': {'pop': 368130, 'tracts': 80},
'Carroll': {'pop': 28836, 'tracts': 7},
'Champaign': {'pop': 40097, 'tracts': 10},
'Clark': {'pop': 138333, 'tracts': 44},
'Clermont': {'pop': 197363, 'tracts': 40},
'Clinton': {'pop': 42040, 'tracts': 9},
'Columbiana': {'pop': 107841, 'tracts': 24},
'Coshocton': {'pop': 36901, 'tracts': 10},
'Crawford': {'pop': 43784, 'tracts': 13},
'Cuyahoga': {'pop': 1280122, 'tracts': 447},
'Darke': {'pop': 52959, 'tracts': 12},
'Defiance': {'pop': 39037, 'tracts': 9},
'Delaware': {'pop': 174214, 'tracts': 35},
'Erie': {'pop': 77079, 'tracts': 19},
'Fairfield': {'pop': 146156, 'tracts': 28},
'Fayette': {'pop': 29030, 'tracts': 7},
'Franklin': {'pop': 1163414, 'tracts': 284},
'Fulton': {'pop': 42698, 'tracts': 9},
'Gallia': {'pop': 30934, 'tracts': 7},
'Geauga': {'pop': 93389, 'tracts': 21},
'Greene': {'pop': 161573, 'tracts': 35},
'Guernsey': {'pop': 40087, 'tracts': 10},
'Hamilton': {'pop': 802374, 'tracts': 222},
'Hancock': {'pop': 74782, 'tracts': 13},
'Hardin': {'pop': 32058, 'tracts': 7},
'Harrison': {'pop': 15864, 'tracts': 5},
'Henry': {'pop': 28215, 'tracts': 7},
'Highland': {'pop': 43589, 'tracts': 9},
'Hocking': {'pop': 29380, 'tracts': 7},
'Holmes': {'pop': 42366, 'tracts': 8},
'Huron': {'pop': 59626, 'tracts': 13},
'Jackson': {'pop': 33225, 'tracts': 7},
'Jefferson': {'pop': 69709, 'tracts': 23},
'Knox': {'pop': 60921, 'tracts': 12},
'Lake': {'pop': 230041, 'tracts': 59},
'Lawrence': {'pop': 62450, 'tracts': 16},
'Licking': {'pop': 166492, 'tracts': 32},
'Logan': {'pop': 45858, 'tracts': 11},
'Lorain': {'pop': 301356, 'tracts': 73},
'Lucas': {'pop': 441815, 'tracts': 127},
'Madison': {'pop': 43435, 'tracts': 12},
'Mahoning': {'pop': 238823, 'tracts': 70},
'Marion': {'pop': 66501, 'tracts': 18},
'Medina': {'pop': 172332, 'tracts': 37},
'Meigs': {'pop': 23770, 'tracts': 6},
'Mercer': {'pop': 40814, 'tracts': 9},
'Miami': {'pop': 102506, 'tracts': 21},
'Monroe': {'pop': 14642, 'tracts': 4},
'Montgomery': {'pop': 535153, 'tracts': 153},
'Morgan': {'pop': 15054, 'tracts': 4},
'Morrow': {'pop': 34827, 'tracts': 6},
'Muskingum': {'pop': 86074, 'tracts': 19},
'Noble': {'pop': 14645, 'tracts': 3},
'Ottawa': {'pop': 41428, 'tracts': 13},
'Paulding': {'pop': 19614, 'tracts': 5},
'Perry': {'pop': 36058, 'tracts': 6},
'Pickaway': {'pop': 55698, 'tracts': 13},
'Pike': {'pop': 28709, 'tracts': 6},
'Portage': {'pop': 161419, 'tracts': 35},
'Preble': {'pop': 42270, 'tracts': 12},
'Putnam': {'pop': 34499, 'tracts': 7},
'Richland': {'pop': 124475, 'tracts': 30},
'Ross': {'pop': 78064, 'tracts': 17},
'Sandusky': {'pop': 60944, 'tracts': 15},
'Scioto': {'pop': 79499, 'tracts': 20},
'Seneca': {'pop': 56745, 'tracts': 14},
'Shelby': {'pop': 49423, 'tracts': 10},
'Stark': {'pop': 375586, 'tracts': 86},
'Summit': {'pop': 541781, 'tracts': 135},
'Trumbull': {'pop': 210312, 'tracts': 55},
'Tuscarawas': {'pop': 92582, 'tracts': 21},
'Union': {'pop': 52300, 'tracts': 10},
'Van Wert': {'pop': 28744, 'tracts': 9},
'Vinton': {'pop': 13435, 'tracts': 3},
'Warren': {'pop': 212693, 'tracts': 33},
'Washington': {'pop': 61778, 'tracts': 16},
'Wayne': {'pop': 114520, 'tracts': 32},
'Williams': {'pop': 37642, 'tracts': 9},
'Wood': {'pop': 125488, 'tracts': 28},
'Wyandot': {'pop': 22615, 'tracts': 6}},
'OK': {'Adair': {'pop': 22683, 'tracts': 5},
'Alfalfa': {'pop': 5642, 'tracts': 3},
'Atoka': {'pop': 14182, 'tracts': 4},
'Beaver': {'pop': 5636, 'tracts': 3},
'Beckham': {'pop': 22119, 'tracts': 4},
'Blaine': {'pop': 11943, 'tracts': 5},
'Bryan': {'pop': 42416, 'tracts': 11},
'Caddo': {'pop': 29600, 'tracts': 8},
'Canadian': {'pop': 115541, 'tracts': 29},
'Carter': {'pop': 47557, 'tracts': 11},
'Cherokee': {'pop': 46987, 'tracts': 9},
'Choctaw': {'pop': 15205, 'tracts': 5},
'Cimarron': {'pop': 2475, 'tracts': 2},
'Cleveland': {'pop': 255755, 'tracts': 62},
'Coal': {'pop': 5925, 'tracts': 2},
'Comanche': {'pop': 124098, 'tracts': 32},
'Cotton': {'pop': 6193, 'tracts': 2},
'Craig': {'pop': 15029, 'tracts': 5},
'Creek': {'pop': 69967, 'tracts': 21},
'Custer': {'pop': 27469, 'tracts': 5},
'Delaware': {'pop': 41487, 'tracts': 9},
'Dewey': {'pop': 4810, 'tracts': 3},
'Ellis': {'pop': 4151, 'tracts': 2},
'Garfield': {'pop': 60580, 'tracts': 12},
'Garvin': {'pop': 27576, 'tracts': 9},
'Grady': {'pop': 52431, 'tracts': 10},
'Grant': {'pop': 4527, 'tracts': 2},
'Greer': {'pop': 6239, 'tracts': 2},
'Harmon': {'pop': 2922, 'tracts': 1},
'Harper': {'pop': 3685, 'tracts': 2},
'Haskell': {'pop': 12769, 'tracts': 4},
'Hughes': {'pop': 14003, 'tracts': 5},
'Jackson': {'pop': 26446, 'tracts': 8},
'Jefferson': {'pop': 6472, 'tracts': 3},
'Johnston': {'pop': 10957, 'tracts': 3},
'Kay': {'pop': 46562, 'tracts': 11},
'Kingfisher': {'pop': 15034, 'tracts': 4},
'Kiowa': {'pop': 9446, 'tracts': 3},
'Latimer': {'pop': 11154, 'tracts': 3},
'Le Flore': {'pop': 50384, 'tracts': 12},
'Lincoln': {'pop': 34273, 'tracts': 7},
'Logan': {'pop': 41848, 'tracts': 8},
'Love': {'pop': 9423, 'tracts': 3},
'Major': {'pop': 7527, 'tracts': 3},
'Marshall': {'pop': 15840, 'tracts': 4},
'Mayes': {'pop': 41259, 'tracts': 9},
'McClain': {'pop': 34506, 'tracts': 6},
'McCurtain': {'pop': 33151, 'tracts': 8},
'McIntosh': {'pop': 20252, 'tracts': 6},
'Murray': {'pop': 13488, 'tracts': 3},
'Muskogee': {'pop': 70990, 'tracts': 16},
'Noble': {'pop': 11561, 'tracts': 4},
'Nowata': {'pop': 10536, 'tracts': 4},
'Okfuskee': {'pop': 12191, 'tracts': 4},
'Oklahoma': {'pop': 718633, 'tracts': 241},
'Okmulgee': {'pop': 40069, 'tracts': 10},
'Osage': {'pop': 47472, 'tracts': 11},
'Ottawa': {'pop': 31848, 'tracts': 9},
'Pawnee': {'pop': 16577, 'tracts': 5},
'Payne': {'pop': 77350, 'tracts': 17},
'Pittsburg': {'pop': 45837, 'tracts': 13},
'Pontotoc': {'pop': 37492, 'tracts': 10},
'Pottawatomie': {'pop': 69442, 'tracts': 16},
'Pushmataha': {'pop': 11572, 'tracts': 3},
'Roger Mills': {'pop': 3647, 'tracts': 1},
'Rogers': {'pop': 86905, 'tracts': 28},
'Seminole': {'pop': 25482, 'tracts': 9},
'Sequoyah': {'pop': 42391, 'tracts': 9},
'Stephens': {'pop': 45048, 'tracts': 11},
'Texas': {'pop': 20640, 'tracts': 5},
'Tillman': {'pop': 7992, 'tracts': 5},
'Tulsa': {'pop': 603403, 'tracts': 175},
'Wagoner': {'pop': 73085, 'tracts': 22},
'Washington': {'pop': 50976, 'tracts': 13},
'Washita': {'pop': 11629, 'tracts': 4},
'Woods': {'pop': 8878, 'tracts': 3},
'Woodward': {'pop': 20081, 'tracts': 5}},
'OR': {'Baker': {'pop': 16134, 'tracts': 6},
'Benton': {'pop': 85579, 'tracts': 18},
'Clackamas': {'pop': 375992, 'tracts': 80},
'Clatsop': {'pop': 37039, 'tracts': 12},
'Columbia': {'pop': 49351, 'tracts': 10},
'Coos': {'pop': 63043, 'tracts': 13},
'Crook': {'pop': 20978, 'tracts': 4},
'Curry': {'pop': 22364, 'tracts': 6},
'Deschutes': {'pop': 157733, 'tracts': 24},
'Douglas': {'pop': 107667, 'tracts': 22},
'Gilliam': {'pop': 1871, 'tracts': 1},
'Grant': {'pop': 7445, 'tracts': 2},
'Harney': {'pop': 7422, 'tracts': 2},
'Hood River': {'pop': 22346, 'tracts': 4},
'Jackson': {'pop': 203206, 'tracts': 41},
'Jefferson': {'pop': 21720, 'tracts': 6},
'Josephine': {'pop': 82713, 'tracts': 16},
'Klamath': {'pop': 66380, 'tracts': 20},
'Lake': {'pop': 7895, 'tracts': 2},
'Lane': {'pop': 351715, 'tracts': 86},
'Lincoln': {'pop': 46034, 'tracts': 18},
'Linn': {'pop': 116672, 'tracts': 21},
'Malheur': {'pop': 31313, 'tracts': 8},
'Marion': {'pop': 315335, 'tracts': 58},
'Morrow': {'pop': 11173, 'tracts': 2},
'Multnomah': {'pop': 735334, 'tracts': 171},
'Polk': {'pop': 75403, 'tracts': 12},
'Sherman': {'pop': 1765, 'tracts': 1},
'Tillamook': {'pop': 25250, 'tracts': 8},
'Umatilla': {'pop': 75889, 'tracts': 15},
'Union': {'pop': 25748, 'tracts': 8},
'Wallowa': {'pop': 7008, 'tracts': 3},
'Wasco': {'pop': 25213, 'tracts': 8},
'Washington': {'pop': 529710, 'tracts': 104},
'Wheeler': {'pop': 1441, 'tracts': 1},
'Yamhill': {'pop': 99193, 'tracts': 17}},
'PA': {'Adams': {'pop': 101407, 'tracts': 23},
'Allegheny': {'pop': 1223348, 'tracts': 402},
'Armstrong': {'pop': 68941, 'tracts': 19},
'Beaver': {'pop': 170539, 'tracts': 51},
'Bedford': {'pop': 49762, 'tracts': 11},
'Berks': {'pop': 411442, 'tracts': 90},
'Blair': {'pop': 127089, 'tracts': 34},
'Bradford': {'pop': 62622, 'tracts': 14},
'Bucks': {'pop': 625249, 'tracts': 143},
'Butler': {'pop': 183862, 'tracts': 44},
'Cambria': {'pop': 143679, 'tracts': 42},
'Cameron': {'pop': 5085, 'tracts': 2},
'Carbon': {'pop': 65249, 'tracts': 12},
'Centre': {'pop': 153990, 'tracts': 31},
'Chester': {'pop': 498886, 'tracts': 116},
'Clarion': {'pop': 39988, 'tracts': 10},
'Clearfield': {'pop': 81642, 'tracts': 20},
'Clinton': {'pop': 39238, 'tracts': 9},
'Columbia': {'pop': 67295, 'tracts': 15},
'Crawford': {'pop': 88765, 'tracts': 23},
'Cumberland': {'pop': 235406, 'tracts': 49},
'Dauphin': {'pop': 268100, 'tracts': 65},
'Delaware': {'pop': 558979, 'tracts': 144},
'Elk': {'pop': 31946, 'tracts': 9},
'Erie': {'pop': 280566, 'tracts': 72},
'Fayette': {'pop': 136606, 'tracts': 36},
'Forest': {'pop': 7716, 'tracts': 3},
'Franklin': {'pop': 149618, 'tracts': 27},
'Fulton': {'pop': 14845, 'tracts': 3},
'Greene': {'pop': 38686, 'tracts': 9},
'Huntingdon': {'pop': 45913, 'tracts': 12},
'Indiana': {'pop': 88880, 'tracts': 23},
'Jefferson': {'pop': 45200, 'tracts': 13},
'Juniata': {'pop': 24636, 'tracts': 5},
'Lackawanna': {'pop': 214437, 'tracts': 59},
'Lancaster': {'pop': 519445, 'tracts': 98},
'Lawrence': {'pop': 91108, 'tracts': 28},
'Lebanon': {'pop': 133568, 'tracts': 31},
'Lehigh': {'pop': 349497, 'tracts': 76},
'Luzerne': {'pop': 320918, 'tracts': 104},
'Lycoming': {'pop': 116111, 'tracts': 29},
'McKean': {'pop': 43450, 'tracts': 12},
'Mercer': {'pop': 116638, 'tracts': 30},
'Mifflin': {'pop': 46682, 'tracts': 12},
'Monroe': {'pop': 169842, 'tracts': 33},
'Montgomery': {'pop': 799874, 'tracts': 211},
'Montour': {'pop': 18267, 'tracts': 4},
'Northampton': {'pop': 297735, 'tracts': 68},
'Northumberland': {'pop': 94528, 'tracts': 24},
'Perry': {'pop': 45969, 'tracts': 10},
'Philadelphia': {'pop': 1526006, 'tracts': 384},
'Pike': {'pop': 57369, 'tracts': 18},
'Potter': {'pop': 17457, 'tracts': 5},
'Schuylkill': {'pop': 148289, 'tracts': 40},
'Snyder': {'pop': 39702, 'tracts': 8},
'Somerset': {'pop': 77742, 'tracts': 21},
'Sullivan': {'pop': 6428, 'tracts': 2},
'Susquehanna': {'pop': 43356, 'tracts': 11},
'Tioga': {'pop': 41981, 'tracts': 10},
'Union': {'pop': 44947, 'tracts': 10},
'Venango': {'pop': 54984, 'tracts': 16},
'Warren': {'pop': 41815, 'tracts': 13},
'Washington': {'pop': 207820, 'tracts': 59},
'Wayne': {'pop': 52822, 'tracts': 14},
'Westmoreland': {'pop': 365169, 'tracts': 100},
'Wyoming': {'pop': 28276, 'tracts': 7},
'York': {'pop': 434972, 'tracts': 90}},
'RI': {'Bristol': {'pop': 49875, 'tracts': 11},
'Kent': {'pop': 166158, 'tracts': 39},
'Newport': {'pop': 82888, 'tracts': 22},
'Providence': {'pop': 626667, 'tracts': 141},
'Washington': {'pop': 126979, 'tracts': 29}},
'SC': {'Abbeville': {'pop': 25417, 'tracts': 6},
'Aiken': {'pop': 160099, 'tracts': 33},
'Allendale': {'pop': 10419, 'tracts': 3},
'Anderson': {'pop': 187126, 'tracts': 39},
'Bamberg': {'pop': 15987, 'tracts': 4},
'Barnwell': {'pop': 22621, 'tracts': 6},
'Beaufort': {'pop': 162233, 'tracts': 41},
'Berkeley': {'pop': 177843, 'tracts': 45},
'Calhoun': {'pop': 15175, 'tracts': 3},
'Charleston': {'pop': 350209, 'tracts': 86},
'Cherokee': {'pop': 55342, 'tracts': 13},
'Chester': {'pop': 33140, 'tracts': 11},
'Chesterfield': {'pop': 46734, 'tracts': 10},
'Clarendon': {'pop': 34971, 'tracts': 12},
'Colleton': {'pop': 38892, 'tracts': 10},
'Darlington': {'pop': 68681, 'tracts': 16},
'Dillon': {'pop': 32062, 'tracts': 6},
'Dorchester': {'pop': 136555, 'tracts': 25},
'Edgefield': {'pop': 26985, 'tracts': 6},
'Fairfield': {'pop': 23956, 'tracts': 5},
'Florence': {'pop': 136885, 'tracts': 33},
'Georgetown': {'pop': 60158, 'tracts': 15},
'Greenville': {'pop': 451225, 'tracts': 111},
'Greenwood': {'pop': 69661, 'tracts': 14},
'Hampton': {'pop': 21090, 'tracts': 5},
'Horry': {'pop': 269291, 'tracts': 72},
'Jasper': {'pop': 24777, 'tracts': 5},
'Kershaw': {'pop': 61697, 'tracts': 15},
'Lancaster': {'pop': 76652, 'tracts': 14},
'Laurens': {'pop': 66537, 'tracts': 17},
'Lee': {'pop': 19220, 'tracts': 7},
'Lexington': {'pop': 262391, 'tracts': 74},
'Marion': {'pop': 33062, 'tracts': 8},
'Marlboro': {'pop': 28933, 'tracts': 7},
'McCormick': {'pop': 10233, 'tracts': 3},
'Newberry': {'pop': 37508, 'tracts': 8},
'Oconee': {'pop': 74273, 'tracts': 15},
'Orangeburg': {'pop': 92501, 'tracts': 20},
'Pickens': {'pop': 119224, 'tracts': 28},
'Richland': {'pop': 384504, 'tracts': 89},
'Saluda': {'pop': 19875, 'tracts': 5},
'Spartanburg': {'pop': 284307, 'tracts': 69},
'Sumter': {'pop': 107456, 'tracts': 23},
'Union': {'pop': 28961, 'tracts': 9},
'Williamsburg': {'pop': 34423, 'tracts': 11},
'York': {'pop': 226073, 'tracts': 46}},
'SD': {'Aurora': {'pop': 2710, 'tracts': 1},
'Beadle': {'pop': 17398, 'tracts': 6},
'Bennett': {'pop': 3431, 'tracts': 2},
'Bon Homme': {'pop': 7070, 'tracts': 2},
'Brookings': {'pop': 31965, 'tracts': 6},
'Brown': {'pop': 36531, 'tracts': 8},
'Brule': {'pop': 5255, 'tracts': 2},
'Buffalo': {'pop': 1912, 'tracts': 1},
'Butte': {'pop': 10110, 'tracts': 2},
'Campbell': {'pop': 1466, 'tracts': 1},
'Charles Mix': {'pop': 9129, 'tracts': 3},
'Clark': {'pop': 3691, 'tracts': 1},
'Clay': {'pop': 13864, 'tracts': 3},
'Codington': {'pop': 27227, 'tracts': 7},
'Corson': {'pop': 4050, 'tracts': 2},
'Custer': {'pop': 8216, 'tracts': 2},
'Davison': {'pop': 19504, 'tracts': 4},
'Day': {'pop': 5710, 'tracts': 3},
'Deuel': {'pop': 4364, 'tracts': 2},
'Dewey': {'pop': 5301, 'tracts': 2},
'Douglas': {'pop': 3002, 'tracts': 1},
'Edmunds': {'pop': 4071, 'tracts': 2},
'Fall River': {'pop': 7094, 'tracts': 2},
'Faulk': {'pop': 2364, 'tracts': 1},
'Grant': {'pop': 7356, 'tracts': 2},
'Gregory': {'pop': 4271, 'tracts': 2},
'Haakon': {'pop': 1937, 'tracts': 1},
'Hamlin': {'pop': 5903, 'tracts': 2},
'Hand': {'pop': 3431, 'tracts': 2},
'Hanson': {'pop': 3331, 'tracts': 1},
'Harding': {'pop': 1255, 'tracts': 1},
'Hughes': {'pop': 17022, 'tracts': 4},
'Hutchinson': {'pop': 7343, 'tracts': 3},
'Hyde': {'pop': 1420, 'tracts': 1},
'Jackson': {'pop': 3031, 'tracts': 2},
'Jerauld': {'pop': 2071, 'tracts': 1},
'Jones': {'pop': 1006, 'tracts': 1},
'Kingsbury': {'pop': 5148, 'tracts': 2},
'Lake': {'pop': 11200, 'tracts': 3},
'Lawrence': {'pop': 24097, 'tracts': 5},
'Lincoln': {'pop': 44828, 'tracts': 11},
'Lyman': {'pop': 3755, 'tracts': 2},
'Marshall': {'pop': 4656, 'tracts': 1},
'McCook': {'pop': 5618, 'tracts': 2},
'McPherson': {'pop': 2459, 'tracts': 1},
'Meade': {'pop': 25434, 'tracts': 5},
'Mellette': {'pop': 2048, 'tracts': 1},
'Miner': {'pop': 2389, 'tracts': 1},
'Minnehaha': {'pop': 169468, 'tracts': 42},
'Moody': {'pop': 6486, 'tracts': 2},
'Pennington': {'pop': 100948, 'tracts': 23},
'Perkins': {'pop': 2982, 'tracts': 1},
'Potter': {'pop': 2329, 'tracts': 1},
'Roberts': {'pop': 10149, 'tracts': 4},
'Sanborn': {'pop': 2355, 'tracts': 1},
'Shannon': {'pop': 13586, 'tracts': 3},
'Spink': {'pop': 6415, 'tracts': 3},
'Stanley': {'pop': 2966, 'tracts': 1},
'Sully': {'pop': 1373, 'tracts': 1},
'Todd': {'pop': 9612, 'tracts': 2},
'Tripp': {'pop': 5644, 'tracts': 2},
'Turner': {'pop': 8347, 'tracts': 2},
'Union': {'pop': 14399, 'tracts': 3},
'Walworth': {'pop': 5438, 'tracts': 2},
'Yankton': {'pop': 22438, 'tracts': 5},
'Ziebach': {'pop': 2801, 'tracts': 1}},
'TN': {'Anderson': {'pop': 75129, 'tracts': 18},
'Bedford': {'pop': 45058, 'tracts': 9},
'Benton': {'pop': 16489, 'tracts': 5},
'Bledsoe': {'pop': 12876, 'tracts': 3},
'Blount': {'pop': 123010, 'tracts': 28},
'Bradley': {'pop': 98963, 'tracts': 19},
'Campbell': {'pop': 40716, 'tracts': 11},
'Cannon': {'pop': 13801, 'tracts': 3},
'Carroll': {'pop': 28522, 'tracts': 8},
'Carter': {'pop': 57424, 'tracts': 17},
'Cheatham': {'pop': 39105, 'tracts': 9},
'Chester': {'pop': 17131, 'tracts': 3},
'Claiborne': {'pop': 32213, 'tracts': 9},
'Clay': {'pop': 7861, 'tracts': 2},
'Cocke': {'pop': 35662, 'tracts': 9},
'Coffee': {'pop': 52796, 'tracts': 12},
'Crockett': {'pop': 14586, 'tracts': 5},
'Cumberland': {'pop': 56053, 'tracts': 14},
'Davidson': {'pop': 626681, 'tracts': 161},
'DeKalb': {'pop': 18723, 'tracts': 4},
'Decatur': {'pop': 11757, 'tracts': 4},
'Dickson': {'pop': 49666, 'tracts': 10},
'Dyer': {'pop': 38335, 'tracts': 8},
'Fayette': {'pop': 38413, 'tracts': 11},
'Fentress': {'pop': 17959, 'tracts': 4},
'Franklin': {'pop': 41052, 'tracts': 9},
'Gibson': {'pop': 49683, 'tracts': 14},
'Giles': {'pop': 29485, 'tracts': 8},
'Grainger': {'pop': 22657, 'tracts': 5},
'Greene': {'pop': 68831, 'tracts': 15},
'Grundy': {'pop': 13703, 'tracts': 4},
'Hamblen': {'pop': 62544, 'tracts': 12},
'Hamilton': {'pop': 336463, 'tracts': 82},
'Hancock': {'pop': 6819, 'tracts': 2},
'Hardeman': {'pop': 27253, 'tracts': 6},
'Hardin': {'pop': 26026, 'tracts': 6},
'Hawkins': {'pop': 56833, 'tracts': 13},
'Haywood': {'pop': 18787, 'tracts': 6},
'Henderson': {'pop': 27769, 'tracts': 6},
'Henry': {'pop': 32330, 'tracts': 9},
'Hickman': {'pop': 24690, 'tracts': 6},
'Houston': {'pop': 8426, 'tracts': 3},
'Humphreys': {'pop': 18538, 'tracts': 5},
'Jackson': {'pop': 11638, 'tracts': 4},
'Jefferson': {'pop': 51407, 'tracts': 9},
'Johnson': {'pop': 18244, 'tracts': 5},
'Knox': {'pop': 432226, 'tracts': 112},
'Lake': {'pop': 7832, 'tracts': 2},
'Lauderdale': {'pop': 27815, 'tracts': 9},
'Lawrence': {'pop': 41869, 'tracts': 11},
'Lewis': {'pop': 12161, 'tracts': 2},
'Lincoln': {'pop': 33361, 'tracts': 9},
'Loudon': {'pop': 48556, 'tracts': 10},
'Macon': {'pop': 22248, 'tracts': 4},
'Madison': {'pop': 98294, 'tracts': 27},
'Marion': {'pop': 28237, 'tracts': 6},
'Marshall': {'pop': 30617, 'tracts': 6},
'Maury': {'pop': 80956, 'tracts': 17},
'McMinn': {'pop': 52266, 'tracts': 10},
'McNairy': {'pop': 26075, 'tracts': 7},
'Meigs': {'pop': 11753, 'tracts': 3},
'Monroe': {'pop': 44519, 'tracts': 7},
'Montgomery': {'pop': 172331, 'tracts': 39},
'Moore': {'pop': 6362, 'tracts': 2},
'Morgan': {'pop': 21987, 'tracts': 5},
'Obion': {'pop': 31807, 'tracts': 10},
'Overton': {'pop': 22083, 'tracts': 7},
'Perry': {'pop': 7915, 'tracts': 2},
'Pickett': {'pop': 5077, 'tracts': 1},
'Polk': {'pop': 16825, 'tracts': 5},
'Putnam': {'pop': 72321, 'tracts': 15},
'Rhea': {'pop': 31809, 'tracts': 6},
'Roane': {'pop': 54181, 'tracts': 11},
'Robertson': {'pop': 66283, 'tracts': 14},
'Rutherford': {'pop': 262604, 'tracts': 49},
'Scott': {'pop': 22228, 'tracts': 5},
'Sequatchie': {'pop': 14112, 'tracts': 3},
'Sevier': {'pop': 89889, 'tracts': 18},
'Shelby': {'pop': 927644, 'tracts': 221},
'Smith': {'pop': 19166, 'tracts': 5},
'Stewart': {'pop': 13324, 'tracts': 5},
'Sullivan': {'pop': 156823, 'tracts': 39},
'Sumner': {'pop': 160645, 'tracts': 42},
'Tipton': {'pop': 61081, 'tracts': 13},
'Trousdale': {'pop': 7870, 'tracts': 2},
'Unicoi': {'pop': 18313, 'tracts': 4},
'Union': {'pop': 19109, 'tracts': 4},
'Van Buren': {'pop': 5548, 'tracts': 2},
'Warren': {'pop': 39839, 'tracts': 9},
'Washington': {'pop': 122979, 'tracts': 23},
'Wayne': {'pop': 17021, 'tracts': 4},
'Weakley': {'pop': 35021, 'tracts': 11},
'White': {'pop': 25841, 'tracts': 6},
'Williamson': {'pop': 183182, 'tracts': 37},
'Wilson': {'pop': 113993, 'tracts': 21}},
'TX': {'Anderson': {'pop': 58458, 'tracts': 11},
'Andrews': {'pop': 14786, 'tracts': 4},
'Angelina': {'pop': 86771, 'tracts': 17},
'Aransas': {'pop': 23158, 'tracts': 5},
'Archer': {'pop': 9054, 'tracts': 3},
'Armstrong': {'pop': 1901, 'tracts': 1},
'Atascosa': {'pop': 44911, 'tracts': 8},
'Austin': {'pop': 28417, 'tracts': 6},
'Bailey': {'pop': 7165, 'tracts': 1},
'Bandera': {'pop': 20485, 'tracts': 5},
'Bastrop': {'pop': 74171, 'tracts': 10},
'Baylor': {'pop': 3726, 'tracts': 1},
'Bee': {'pop': 31861, 'tracts': 7},
'Bell': {'pop': 310235, 'tracts': 65},
'Bexar': {'pop': 1714773, 'tracts': 366},
'Blanco': {'pop': 10497, 'tracts': 2},
'Borden': {'pop': 641, 'tracts': 1},
'Bosque': {'pop': 18212, 'tracts': 7},
'Bowie': {'pop': 92565, 'tracts': 18},
'Brazoria': {'pop': 313166, 'tracts': 51},
'Brazos': {'pop': 194851, 'tracts': 42},
'Brewster': {'pop': 9232, 'tracts': 3},
'Briscoe': {'pop': 1637, 'tracts': 1},
'Brooks': {'pop': 7223, 'tracts': 2},
'Brown': {'pop': 38106, 'tracts': 12},
'Burleson': {'pop': 17187, 'tracts': 5},
'Burnet': {'pop': 42750, 'tracts': 8},
'Caldwell': {'pop': 38066, 'tracts': 8},
'Calhoun': {'pop': 21381, 'tracts': 6},
'Callahan': {'pop': 13544, 'tracts': 3},
'Cameron': {'pop': 406220, 'tracts': 86},
'Camp': {'pop': 12401, 'tracts': 3},
'Carson': {'pop': 6182, 'tracts': 2},
'Cass': {'pop': 30464, 'tracts': 7},
'Castro': {'pop': 8062, 'tracts': 3},
'Chambers': {'pop': 35096, 'tracts': 6},
'Cherokee': {'pop': 50845, 'tracts': 12},
'Childress': {'pop': 7041, 'tracts': 2},
'Clay': {'pop': 10752, 'tracts': 3},
'Cochran': {'pop': 3127, 'tracts': 1},
'Coke': {'pop': 3320, 'tracts': 2},
'Coleman': {'pop': 8895, 'tracts': 3},
'Collin': {'pop': 782341, 'tracts': 152},
'Collingsworth': {'pop': 3057, 'tracts': 1},
'Colorado': {'pop': 20874, 'tracts': 5},
'Comal': {'pop': 108472, 'tracts': 24},
'Comanche': {'pop': 13974, 'tracts': 4},
'Concho': {'pop': 4087, 'tracts': 1},
'Cooke': {'pop': 38437, 'tracts': 8},
'Coryell': {'pop': 75388, 'tracts': 19},
'Cottle': {'pop': 1505, 'tracts': 1},
'Crane': {'pop': 4375, 'tracts': 1},
'Crockett': {'pop': 3719, 'tracts': 1},
'Crosby': {'pop': 6059, 'tracts': 3},
'Culberson': {'pop': 2398, 'tracts': 1},
'Dallam': {'pop': 6703, 'tracts': 2},
'Dallas': {'pop': 2368139, 'tracts': 529},
'Dawson': {'pop': 13833, 'tracts': 4},
'DeWitt': {'pop': 20097, 'tracts': 5},
'Deaf Smith': {'pop': 19372, 'tracts': 4},
'Delta': {'pop': 5231, 'tracts': 2},
'Denton': {'pop': 662614, 'tracts': 137},
'Dickens': {'pop': 2444, 'tracts': 1},
'Dimmit': {'pop': 9996, 'tracts': 2},
'Donley': {'pop': 3677, 'tracts': 2},
'Duval': {'pop': 11782, 'tracts': 3},
'Eastland': {'pop': 18583, 'tracts': 5},
'Ector': {'pop': 137130, 'tracts': 28},
'Edwards': {'pop': 2002, 'tracts': 1},
'El Paso': {'pop': 800647, 'tracts': 161},
'Ellis': {'pop': 149610, 'tracts': 31},
'Erath': {'pop': 37890, 'tracts': 8},
'Falls': {'pop': 17866, 'tracts': 6},
'Fannin': {'pop': 33915, 'tracts': 9},
'Fayette': {'pop': 24554, 'tracts': 7},
'Fisher': {'pop': 3974, 'tracts': 2},
'Floyd': {'pop': 6446, 'tracts': 2},
'Foard': {'pop': 1336, 'tracts': 1},
'Fort Bend': {'pop': 585375, 'tracts': 76},
'Franklin': {'pop': 10605, 'tracts': 3},
'Freestone': {'pop': 19816, 'tracts': 7},
'Frio': {'pop': 17217, 'tracts': 3},
'Gaines': {'pop': 17526, 'tracts': 3},
'Galveston': {'pop': 291309, 'tracts': 67},
'Garza': {'pop': 6461, 'tracts': 1},
'Gillespie': {'pop': 24837, 'tracts': 5},
'Glasscock': {'pop': 1226, 'tracts': 1},
'Goliad': {'pop': 7210, 'tracts': 2},
'Gonzales': {'pop': 19807, 'tracts': 6},
'Gray': {'pop': 22535, 'tracts': 7},
'Grayson': {'pop': 120877, 'tracts': 26},
'Gregg': {'pop': 121730, 'tracts': 25},
'Grimes': {'pop': 26604, 'tracts': 6},
'Guadalupe': {'pop': 131533, 'tracts': 29},
'Hale': {'pop': 36273, 'tracts': 9},
'Hall': {'pop': 3353, 'tracts': 1},
'Hamilton': {'pop': 8517, 'tracts': 3},
'Hansford': {'pop': 5613, 'tracts': 2},
'Hardeman': {'pop': 4139, 'tracts': 1},
'Hardin': {'pop': 54635, 'tracts': 11},
'Harris': {'pop': 4092459, 'tracts': 786},
'Harrison': {'pop': 65631, 'tracts': 14},
'Hartley': {'pop': 6062, 'tracts': 1},
'Haskell': {'pop': 5899, 'tracts': 2},
'Hays': {'pop': 157107, 'tracts': 25},
'Hemphill': {'pop': 3807, 'tracts': 1},
'Henderson': {'pop': 78532, 'tracts': 17},
'Hidalgo': {'pop': 774769, 'tracts': 113},
'Hill': {'pop': 35089, 'tracts': 11},
'Hockley': {'pop': 22935, 'tracts': 7},
'Hood': {'pop': 51182, 'tracts': 10},
'Hopkins': {'pop': 35161, 'tracts': 9},
'Houston': {'pop': 23732, 'tracts': 7},
'Howard': {'pop': 35012, 'tracts': 10},
'Hudspeth': {'pop': 3476, 'tracts': 1},
'Hunt': {'pop': 86129, 'tracts': 19},
'Hutchinson': {'pop': 22150, 'tracts': 7},
'Irion': {'pop': 1599, 'tracts': 1},
'Jack': {'pop': 9044, 'tracts': 3},
'Jackson': {'pop': 14075, 'tracts': 3},
'Jasper': {'pop': 35710, 'tracts': 8},
'Jeff Davis': {'pop': 2342, 'tracts': 1},
'Jefferson': {'pop': 252273, 'tracts': 72},
'Jim Hogg': {'pop': 5300, 'tracts': 2},
'Jim Wells': {'pop': 40838, 'tracts': 7},
'Johnson': {'pop': 150934, 'tracts': 28},
'Jones': {'pop': 20202, 'tracts': 6},
'Karnes': {'pop': 14824, 'tracts': 4},
'Kaufman': {'pop': 103350, 'tracts': 18},
'Kendall': {'pop': 33410, 'tracts': 6},
'Kenedy': {'pop': 416, 'tracts': 1},
'Kent': {'pop': 808, 'tracts': 1},
'Kerr': {'pop': 49625, 'tracts': 10},
'Kimble': {'pop': 4607, 'tracts': 2},
'King': {'pop': 286, 'tracts': 1},
'Kinney': {'pop': 3598, 'tracts': 1},
'Kleberg': {'pop': 32061, 'tracts': 6},
'Knox': {'pop': 3719, 'tracts': 2},
'La Salle': {'pop': 6886, 'tracts': 1},
'Lamar': {'pop': 49793, 'tracts': 12},
'Lamb': {'pop': 13977, 'tracts': 5},
'Lampasas': {'pop': 19677, 'tracts': 5},
'Lavaca': {'pop': 19263, 'tracts': 6},
'Lee': {'pop': 16612, 'tracts': 4},
'Leon': {'pop': 16801, 'tracts': 3},
'Liberty': {'pop': 75643, 'tracts': 14},
'Limestone': {'pop': 23384, 'tracts': 8},
'Lipscomb': {'pop': 3302, 'tracts': 2},
'Live Oak': {'pop': 11531, 'tracts': 4},
'Llano': {'pop': 19301, 'tracts': 6},
'Loving': {'pop': 82, 'tracts': 1},
'Lubbock': {'pop': 278831, 'tracts': 68},
'Lynn': {'pop': 5915, 'tracts': 3},
'Madison': {'pop': 13664, 'tracts': 4},
'Marion': {'pop': 10546, 'tracts': 4},
'Martin': {'pop': 4799, 'tracts': 2},
'Mason': {'pop': 4012, 'tracts': 2},
'Matagorda': {'pop': 36702, 'tracts': 10},
'Maverick': {'pop': 54258, 'tracts': 9},
'McCulloch': {'pop': 8283, 'tracts': 3},
'McLennan': {'pop': 234906, 'tracts': 51},
'McMullen': {'pop': 707, 'tracts': 1},
'Medina': {'pop': 46006, 'tracts': 8},
'Menard': {'pop': 2242, 'tracts': 1},
'Midland': {'pop': 136872, 'tracts': 27},
'Milam': {'pop': 24757, 'tracts': 7},
'Mills': {'pop': 4936, 'tracts': 2},
'Mitchell': {'pop': 9403, 'tracts': 2},
'Montague': {'pop': 19719, 'tracts': 6},
'Montgomery': {'pop': 455746, 'tracts': 59},
'Moore': {'pop': 21904, 'tracts': 4},
'Morris': {'pop': 12934, 'tracts': 3},
'Motley': {'pop': 1210, 'tracts': 1},
'Nacogdoches': {'pop': 64524, 'tracts': 13},
'Navarro': {'pop': 47735, 'tracts': 10},
'Newton': {'pop': 14445, 'tracts': 4},
'Nolan': {'pop': 15216, 'tracts': 5},
'Nueces': {'pop': 340223, 'tracts': 81},
'Ochiltree': {'pop': 10223, 'tracts': 3},
'Oldham': {'pop': 2052, 'tracts': 1},
'Orange': {'pop': 81837, 'tracts': 21},
'Palo Pinto': {'pop': 28111, 'tracts': 9},
'Panola': {'pop': 23796, 'tracts': 6},
'Parker': {'pop': 116927, 'tracts': 19},
'Parmer': {'pop': 10269, 'tracts': 2},
'Pecos': {'pop': 15507, 'tracts': 4},
'Polk': {'pop': 45413, 'tracts': 10},
'Potter': {'pop': 121073, 'tracts': 34},
'Presidio': {'pop': 7818, 'tracts': 2},
'Rains': {'pop': 10914, 'tracts': 2},
'Randall': {'pop': 120725, 'tracts': 29},
'Reagan': {'pop': 3367, 'tracts': 1},
'Real': {'pop': 3309, 'tracts': 1},
'Red River': {'pop': 12860, 'tracts': 4},
'Reeves': {'pop': 13783, 'tracts': 5},
'Refugio': {'pop': 7383, 'tracts': 2},
'Roberts': {'pop': 929, 'tracts': 1},
'Robertson': {'pop': 16622, 'tracts': 5},
'Rockwall': {'pop': 78337, 'tracts': 11},
'Runnels': {'pop': 10501, 'tracts': 4},
'Rusk': {'pop': 53330, 'tracts': 13},
'Sabine': {'pop': 10834, 'tracts': 3},
'San Augustine': {'pop': 8865, 'tracts': 3},
'San Jacinto': {'pop': 26384, 'tracts': 4},
'San Patricio': {'pop': 64804, 'tracts': 16},
'San Saba': {'pop': 6131, 'tracts': 2},
'Schleicher': {'pop': 3461, 'tracts': 1},
'Scurry': {'pop': 16921, 'tracts': 4},
'Shackelford': {'pop': 3378, 'tracts': 1},
'Shelby': {'pop': 25448, 'tracts': 6},
'Sherman': {'pop': 3034, 'tracts': 1},
'Smith': {'pop': 209714, 'tracts': 41},
'Somervell': {'pop': 8490, 'tracts': 2},
'Starr': {'pop': 60968, 'tracts': 15},
'Stephens': {'pop': 9630, 'tracts': 3},
'Sterling': {'pop': 1143, 'tracts': 1},
'Stonewall': {'pop': 1490, 'tracts': 1},
'Sutton': {'pop': 4128, 'tracts': 1},
'Swisher': {'pop': 7854, 'tracts': 3},
'Tarrant': {'pop': 1809034, 'tracts': 357},
'Taylor': {'pop': 131506, 'tracts': 38},
'Terrell': {'pop': 984, 'tracts': 1},
'Terry': {'pop': 12651, 'tracts': 3},
'Throckmorton': {'pop': 1641, 'tracts': 1},
'Titus': {'pop': 32334, 'tracts': 8},
'Tom Green': {'pop': 110224, 'tracts': 25},
'Travis': {'pop': 1024266, 'tracts': 218},
'Trinity': {'pop': 14585, 'tracts': 5},
'Tyler': {'pop': 21766, 'tracts': 5},
'Upshur': {'pop': 39309, 'tracts': 7},
'Upton': {'pop': 3355, 'tracts': 2},
'Uvalde': {'pop': 26405, 'tracts': 5},
'Val Verde': {'pop': 48879, 'tracts': 10},
'Van Zandt': {'pop': 52579, 'tracts': 10},
'Victoria': {'pop': 86793, 'tracts': 23},
'Walker': {'pop': 67861, 'tracts': 10},
'Waller': {'pop': 43205, 'tracts': 6},
'Ward': {'pop': 10658, 'tracts': 3},
'Washington': {'pop': 33718, 'tracts': 6},
'Webb': {'pop': 250304, 'tracts': 61},
'Wharton': {'pop': 41280, 'tracts': 11},
'Wheeler': {'pop': 5410, 'tracts': 2},
'Wichita': {'pop': 131500, 'tracts': 37},
'Wilbarger': {'pop': 13535, 'tracts': 4},
'Willacy': {'pop': 22134, 'tracts': 6},
'Williamson': {'pop': 422679, 'tracts': 89},
'Wilson': {'pop': 42918, 'tracts': 11},
'Winkler': {'pop': 7110, 'tracts': 3},
'Wise': {'pop': 59127, 'tracts': 11},
'Wood': {'pop': 41964, 'tracts': 10},
'Yoakum': {'pop': 7879, 'tracts': 2},
'Young': {'pop': 18550, 'tracts': 4},
'Zapata': {'pop': 14018, 'tracts': 3},
'Zavala': {'pop': 11677, 'tracts': 4}},
'UT': {'Beaver': {'pop': 6629, 'tracts': 2},
'Box Elder': {'pop': 49975, 'tracts': 11},
'Cache': {'pop': 112656, 'tracts': 26},
'Carbon': {'pop': 21403, 'tracts': 5},
'Daggett': {'pop': 1059, 'tracts': 1},
'Davis': {'pop': 306479, 'tracts': 54},
'Duchesne': {'pop': 18607, 'tracts': 3},
'Emery': {'pop': 10976, 'tracts': 3},
'Garfield': {'pop': 5172, 'tracts': 2},
'Grand': {'pop': 9225, 'tracts': 2},
'Iron': {'pop': 46163, 'tracts': 8},
'Juab': {'pop': 10246, 'tracts': 2},
'Kane': {'pop': 7125, 'tracts': 2},
'Millard': {'pop': 12503, 'tracts': 3},
'Morgan': {'pop': 9469, 'tracts': 2},
'Piute': {'pop': 1556, 'tracts': 1},
'Rich': {'pop': 2264, 'tracts': 1},
'Salt Lake': {'pop': 1029655, 'tracts': 212},
'San Juan': {'pop': 14746, 'tracts': 4},
'Sanpete': {'pop': 27822, 'tracts': 5},
'Sevier': {'pop': 20802, 'tracts': 5},
'Summit': {'pop': 36324, 'tracts': 13},
'Tooele': {'pop': 58218, 'tracts': 11},
'Uintah': {'pop': 32588, 'tracts': 6},
'Utah': {'pop': 516564, 'tracts': 128},
'Wasatch': {'pop': 23530, 'tracts': 4},
'Washington': {'pop': 138115, 'tracts': 21},
'Wayne': {'pop': 2778, 'tracts': 1},
'Weber': {'pop': 231236, 'tracts': 50}},
'VA': {'Accomack': {'pop': 33164, 'tracts': 11},
'Albemarle': {'pop': 98970, 'tracts': 22},
'Alexandria': {'pop': 139966, 'tracts': 38},
'Alleghany': {'pop': 16250, 'tracts': 6},
'Amelia': {'pop': 12690, 'tracts': 2},
'Amherst': {'pop': 32353, 'tracts': 9},
'Appomattox': {'pop': 14973, 'tracts': 3},
'Arlington': {'pop': 207627, 'tracts': 59},
'Augusta': {'pop': 73750, 'tracts': 13},
'Bath': {'pop': 4731, 'tracts': 1},
'Bedford': {'pop': 68676, 'tracts': 16},
'Bedford City': {'pop': 6222, 'tracts': 1},
'Bland': {'pop': 6824, 'tracts': 2},
'Botetourt': {'pop': 33148, 'tracts': 8},
'Bristol': {'pop': 17835, 'tracts': 4},
'Brunswick': {'pop': 17434, 'tracts': 5},
'Buchanan': {'pop': 24098, 'tracts': 7},
'Buckingham': {'pop': 17146, 'tracts': 4},
'Buena Vista': {'pop': 6650, 'tracts': 1},
'Campbell': {'pop': 54842, 'tracts': 12},
'Caroline': {'pop': 28545, 'tracts': 7},
'Carroll': {'pop': 30042, 'tracts': 7},
'Charles City': {'pop': 7256, 'tracts': 3},
'Charlotte': {'pop': 12586, 'tracts': 3},
'Charlottesville': {'pop': 43475, 'tracts': 12},
'Chesapeake': {'pop': 222209, 'tracts': 41},
'Chesterfield': {'pop': 316236, 'tracts': 71},
'Clarke': {'pop': 14034, 'tracts': 3},
'Colonial Heights': {'pop': 17411, 'tracts': 5},
'Covington': {'pop': 5961, 'tracts': 2},
'Craig': {'pop': 5190, 'tracts': 1},
'Culpeper': {'pop': 46689, 'tracts': 8},
'Cumberland': {'pop': 10052, 'tracts': 2},
'Danville': {'pop': 43055, 'tracts': 16},
'Dickenson': {'pop': 15903, 'tracts': 4},
'Dinwiddie': {'pop': 28001, 'tracts': 7},
'Emporia': {'pop': 5927, 'tracts': 2},
'Essex': {'pop': 11151, 'tracts': 3},
'Fairfax': {'pop': 1081726, 'tracts': 258},
'Fairfax City': {'pop': 22565, 'tracts': 5},
'Falls Church': {'pop': 12332, 'tracts': 3},
'Fauquier': {'pop': 65203, 'tracts': 17},
'Floyd': {'pop': 15279, 'tracts': 3},
'Fluvanna': {'pop': 25691, 'tracts': 4},
'Franklin': {'pop': 56159, 'tracts': 10},
'Franklin City': {'pop': 8582, 'tracts': 2},
'Frederick': {'pop': 78305, 'tracts': 14},
'Fredericksburg': {'pop': 24286, 'tracts': 6},
'Galax': {'pop': 7042, 'tracts': 2},
'Giles': {'pop': 17286, 'tracts': 4},
'Gloucester': {'pop': 36858, 'tracts': 8},
'Goochland': {'pop': 21717, 'tracts': 5},
'Grayson': {'pop': 15533, 'tracts': 5},
'Greene': {'pop': 18403, 'tracts': 3},
'Greensville': {'pop': 12243, 'tracts': 3},
'Halifax': {'pop': 36241, 'tracts': 9},
'Hampton': {'pop': 137436, 'tracts': 34},
'Hanover': {'pop': 99863, 'tracts': 23},
'Harrisonburg': {'pop': 48914, 'tracts': 11},
'Henrico': {'pop': 306935, 'tracts': 64},
'Henry': {'pop': 54151, 'tracts': 14},
'Highland': {'pop': 2321, 'tracts': 1},
'Hopewell': {'pop': 22591, 'tracts': 7},
'Isle of Wight': {'pop': 35270, 'tracts': 8},
'James City': {'pop': 67009, 'tracts': 11},
'King George': {'pop': 23584, 'tracts': 5},
'King William': {'pop': 15935, 'tracts': 4},
'King and Queen': {'pop': 6945, 'tracts': 2},
'Lancaster': {'pop': 11391, 'tracts': 3},
'Lee': {'pop': 25587, 'tracts': 6},
'Lexington': {'pop': 7042, 'tracts': 1},
'Loudoun': {'pop': 312311, 'tracts': 65},
'Louisa': {'pop': 33153, 'tracts': 6},
'Lunenburg': {'pop': 12914, 'tracts': 3},
'Lynchburg': {'pop': 75568, 'tracts': 19},
'Madison': {'pop': 13308, 'tracts': 2},
'Manassas': {'pop': 37821, 'tracts': 7},
'Manassas Park': {'pop': 14273, 'tracts': 2},
'Martinsville': {'pop': 13821, 'tracts': 5},
'Mathews': {'pop': 8978, 'tracts': 2},
'Mecklenburg': {'pop': 32727, 'tracts': 9},
'Middlesex': {'pop': 10959, 'tracts': 4},
'Montgomery': {'pop': 94392, 'tracts': 16},
'Nelson': {'pop': 15020, 'tracts': 3},
'New Kent': {'pop': 18429, 'tracts': 3},
'Newport News': {'pop': 180719, 'tracts': 44},
'Norfolk': {'pop': 242803, 'tracts': 81},
'Northampton': {'pop': 12389, 'tracts': 4},
'Northumberland': {'pop': 12330, 'tracts': 3},
'Norton': {'pop': 3958, 'tracts': 1},
'Nottoway': {'pop': 15853, 'tracts': 4},
'Orange': {'pop': 33481, 'tracts': 5},
'Page': {'pop': 24042, 'tracts': 5},
'Patrick': {'pop': 18490, 'tracts': 4},
'Petersburg': {'pop': 32420, 'tracts': 11},
'Pittsylvania': {'pop': 63506, 'tracts': 16},
'Poquoson': {'pop': 12150, 'tracts': 3},
'Portsmouth': {'pop': 95535, 'tracts': 31},
'Powhatan': {'pop': 28046, 'tracts': 5},
'Prince Edward': {'pop': 23368, 'tracts': 5},
'Prince George': {'pop': 35725, 'tracts': 7},
'Prince William': {'pop': 402002, 'tracts': 83},
'Pulaski': {'pop': 34872, 'tracts': 10},
'Radford': {'pop': 16408, 'tracts': 3},
'Rappahannock': {'pop': 7373, 'tracts': 2},
'Richmond': {'pop': 9254, 'tracts': 2},
'Richmond City': {'pop': 204214, 'tracts': 66},
'Roanoke': {'pop': 92376, 'tracts': 18},
'Roanoke City': {'pop': 97032, 'tracts': 23},
'Rockbridge': {'pop': 22307, 'tracts': 4},
'Rockingham': {'pop': 76314, 'tracts': 19},
'Russell': {'pop': 28897, 'tracts': 7},
'Salem': {'pop': 24802, 'tracts': 5},
'Scott': {'pop': 23177, 'tracts': 6},
'Shenandoah': {'pop': 41993, 'tracts': 9},
'Smyth': {'pop': 32208, 'tracts': 9},
'Southampton': {'pop': 18570, 'tracts': 5},
'Spotsylvania': {'pop': 122397, 'tracts': 30},
'Stafford': {'pop': 128961, 'tracts': 27},
'Staunton': {'pop': 23746, 'tracts': 6},
'Suffolk': {'pop': 84585, 'tracts': 28},
'Surry': {'pop': 7058, 'tracts': 2},
'Sussex': {'pop': 12087, 'tracts': 5},
'Tazewell': {'pop': 45078, 'tracts': 11},
'Virginia Beach': {'pop': 437994, 'tracts': 100},
'Warren': {'pop': 37575, 'tracts': 8},
'Washington': {'pop': 54876, 'tracts': 13},
'Waynesboro': {'pop': 21006, 'tracts': 5},
'Westmoreland': {'pop': 17454, 'tracts': 4},
'Williamsburg': {'pop': 14068, 'tracts': 3},
'Winchester': {'pop': 26203, 'tracts': 5},
'Wise': {'pop': 41452, 'tracts': 11},
'Wythe': {'pop': 29235, 'tracts': 6},
'York': {'pop': 65464, 'tracts': 14}},
'VT': {'Addison': {'pop': 36821, 'tracts': 10},
'Bennington': {'pop': 37125, 'tracts': 12},
'Caledonia': {'pop': 31227, 'tracts': 10},
'Chittenden': {'pop': 156545, 'tracts': 35},
'Essex': {'pop': 6306, 'tracts': 3},
'Franklin': {'pop': 47746, 'tracts': 10},
'Grand Isle': {'pop': 6970, 'tracts': 2},
'Lamoille': {'pop': 24475, 'tracts': 7},
'Orange': {'pop': 28936, 'tracts': 10},
'Orleans': {'pop': 27231, 'tracts': 10},
'Rutland': {'pop': 61642, 'tracts': 20},
'Washington': {'pop': 59534, 'tracts': 19},
'Windham': {'pop': 44513, 'tracts': 18},
'Windsor': {'pop': 56670, 'tracts': 18}},
'WA': {'Adams': {'pop': 18728, 'tracts': 5},
'Asotin': {'pop': 21623, 'tracts': 6},
'Benton': {'pop': 175177, 'tracts': 37},
'Chelan': {'pop': 72453, 'tracts': 14},
'Clallam': {'pop': 71404, 'tracts': 22},
'Clark': {'pop': 425363, 'tracts': 104},
'Columbia': {'pop': 4078, 'tracts': 1},
'Cowlitz': {'pop': 102410, 'tracts': 24},
'Douglas': {'pop': 38431, 'tracts': 8},
'Ferry': {'pop': 7551, 'tracts': 3},
'Franklin': {'pop': 78163, 'tracts': 13},
'Garfield': {'pop': 2266, 'tracts': 1},
'Grant': {'pop': 89120, 'tracts': 16},
'Grays Harbor': {'pop': 72797, 'tracts': 17},
'Island': {'pop': 78506, 'tracts': 22},
'Jefferson': {'pop': 29872, 'tracts': 7},
'King': {'pop': 1931249, 'tracts': 397},
'Kitsap': {'pop': 251133, 'tracts': 55},
'Kittitas': {'pop': 40915, 'tracts': 8},
'Klickitat': {'pop': 20318, 'tracts': 3},
'Lewis': {'pop': 75455, 'tracts': 20},
'Lincoln': {'pop': 10570, 'tracts': 4},
'Mason': {'pop': 60699, 'tracts': 14},
'Okanogan': {'pop': 41120, 'tracts': 10},
'Pacific': {'pop': 20920, 'tracts': 8},
'Pend Oreille': {'pop': 13001, 'tracts': 5},
'Pierce': {'pop': 795225, 'tracts': 172},
'San Juan': {'pop': 15769, 'tracts': 5},
'Skagit': {'pop': 116901, 'tracts': 30},
'Skamania': {'pop': 11066, 'tracts': 5},
'Snohomish': {'pop': 713335, 'tracts': 151},
'Spokane': {'pop': 471221, 'tracts': 105},
'Stevens': {'pop': 43531, 'tracts': 12},
'Thurston': {'pop': 252264, 'tracts': 49},
'Wahkiakum': {'pop': 3978, 'tracts': 1},
'Walla Walla': {'pop': 58781, 'tracts': 12},
'Whatcom': {'pop': 201140, 'tracts': 34},
'Whitman': {'pop': 44776, 'tracts': 10},
'Yakima': {'pop': 243231, 'tracts': 45}},
'WI': {'Adams': {'pop': 20875, 'tracts': 7},
'Ashland': {'pop': 16157, 'tracts': 7},
'Barron': {'pop': 45870, 'tracts': 10},
'Bayfield': {'pop': 15014, 'tracts': 5},
'Brown': {'pop': 248007, 'tracts': 54},
'Buffalo': {'pop': 13587, 'tracts': 5},
'Burnett': {'pop': 15457, 'tracts': 6},
'Calumet': {'pop': 48971, 'tracts': 11},
'Chippewa': {'pop': 62415, 'tracts': 11},
'Clark': {'pop': 34690, 'tracts': 8},
'Columbia': {'pop': 56833, 'tracts': 12},
'Crawford': {'pop': 16644, 'tracts': 6},
'Dane': {'pop': 488073, 'tracts': 107},
'Dodge': {'pop': 88759, 'tracts': 20},
'Door': {'pop': 27785, 'tracts': 9},
'Douglas': {'pop': 44159, 'tracts': 12},
'Dunn': {'pop': 43857, 'tracts': 8},
'Eau Claire': {'pop': 98736, 'tracts': 20},
'Florence': {'pop': 4423, 'tracts': 2},
'Fond du Lac': {'pop': 101633, 'tracts': 20},
'Forest': {'pop': 9304, 'tracts': 4},
'Grant': {'pop': 51208, 'tracts': 12},
'Green': {'pop': 36842, 'tracts': 8},
'Green Lake': {'pop': 19051, 'tracts': 6},
'Iowa': {'pop': 23687, 'tracts': 6},
'Iron': {'pop': 5916, 'tracts': 3},
'Jackson': {'pop': 20449, 'tracts': 5},
'Jefferson': {'pop': 83686, 'tracts': 20},
'Juneau': {'pop': 26664, 'tracts': 7},
'Kenosha': {'pop': 166426, 'tracts': 35},
'Kewaunee': {'pop': 20574, 'tracts': 4},
'La Crosse': {'pop': 114638, 'tracts': 25},
'Lafayette': {'pop': 16836, 'tracts': 5},
'Langlade': {'pop': 19977, 'tracts': 6},
'Lincoln': {'pop': 28743, 'tracts': 10},
'Manitowoc': {'pop': 81442, 'tracts': 19},
'Marathon': {'pop': 134063, 'tracts': 27},
'Marinette': {'pop': 41749, 'tracts': 12},
'Marquette': {'pop': 15404, 'tracts': 5},
'Menominee': {'pop': 4232, 'tracts': 2},
'Milwaukee': {'pop': 947735, 'tracts': 297},
'Monroe': {'pop': 44673, 'tracts': 9},
'Oconto': {'pop': 37660, 'tracts': 10},
'Oneida': {'pop': 35998, 'tracts': 14},
'Outagamie': {'pop': 176695, 'tracts': 40},
'Ozaukee': {'pop': 86395, 'tracts': 18},
'Pepin': {'pop': 7469, 'tracts': 2},
'Pierce': {'pop': 41019, 'tracts': 8},
'Polk': {'pop': 44205, 'tracts': 10},
'Portage': {'pop': 70019, 'tracts': 14},
'Price': {'pop': 14159, 'tracts': 6},
'Racine': {'pop': 195408, 'tracts': 44},
'Richland': {'pop': 18021, 'tracts': 5},
'Rock': {'pop': 160331, 'tracts': 38},
'Rusk': {'pop': 14755, 'tracts': 5},
'Sauk': {'pop': 61976, 'tracts': 13},
'Sawyer': {'pop': 16557, 'tracts': 6},
'Shawano': {'pop': 41949, 'tracts': 11},
'Sheboygan': {'pop': 115507, 'tracts': 26},
'St. Croix': {'pop': 84345, 'tracts': 14},
'Taylor': {'pop': 20689, 'tracts': 6},
'Trempealeau': {'pop': 28816, 'tracts': 8},
'Vernon': {'pop': 29773, 'tracts': 7},
'Vilas': {'pop': 21430, 'tracts': 5},
'Walworth': {'pop': 102228, 'tracts': 22},
'Washburn': {'pop': 15911, 'tracts': 5},
'Washington': {'pop': 131887, 'tracts': 28},
'Waukesha': {'pop': 389891, 'tracts': 86},
'Waupaca': {'pop': 52410, 'tracts': 12},
'Waushara': {'pop': 24496, 'tracts': 7},
'Winnebago': {'pop': 166994, 'tracts': 41},
'Wood': {'pop': 74749, 'tracts': 17}},
'WV': {'Barbour': {'pop': 16589, 'tracts': 4},
'Berkeley': {'pop': 104169, 'tracts': 14},
'Boone': {'pop': 24629, 'tracts': 8},
'Braxton': {'pop': 14523, 'tracts': 3},
'Brooke': {'pop': 24069, 'tracts': 6},
'Cabell': {'pop': 96319, 'tracts': 29},
'Calhoun': {'pop': 7627, 'tracts': 2},
'Clay': {'pop': 9386, 'tracts': 3},
'Doddridge': {'pop': 8202, 'tracts': 2},
'Fayette': {'pop': 46039, 'tracts': 12},
'Gilmer': {'pop': 8693, 'tracts': 2},
'Grant': {'pop': 11937, 'tracts': 3},
'Greenbrier': {'pop': 35480, 'tracts': 7},
'Hampshire': {'pop': 23964, 'tracts': 5},
'Hancock': {'pop': 30676, 'tracts': 8},
'Hardy': {'pop': 14025, 'tracts': 3},
'Harrison': {'pop': 69099, 'tracts': 22},
'Jackson': {'pop': 29211, 'tracts': 6},
'Jefferson': {'pop': 53498, 'tracts': 15},
'Kanawha': {'pop': 193063, 'tracts': 53},
'Lewis': {'pop': 16372, 'tracts': 5},
'Lincoln': {'pop': 21720, 'tracts': 5},
'Logan': {'pop': 36743, 'tracts': 9},
'Marion': {'pop': 56418, 'tracts': 18},
'Marshall': {'pop': 33107, 'tracts': 9},
'Mason': {'pop': 27324, 'tracts': 6},
'McDowell': {'pop': 22113, 'tracts': 8},
'Mercer': {'pop': 62264, 'tracts': 16},
'Mineral': {'pop': 28212, 'tracts': 7},
'Mingo': {'pop': 26839, 'tracts': 7},
'Monongalia': {'pop': 96189, 'tracts': 24},
'Monroe': {'pop': 13502, 'tracts': 3},
'Morgan': {'pop': 17541, 'tracts': 4},
'Nicholas': {'pop': 26233, 'tracts': 7},
'Ohio': {'pop': 44443, 'tracts': 18},
'Pendleton': {'pop': 7695, 'tracts': 3},
'Pleasants': {'pop': 7605, 'tracts': 2},
'Pocahontas': {'pop': 8719, 'tracts': 4},
'Preston': {'pop': 33520, 'tracts': 8},
'Putnam': {'pop': 55486, 'tracts': 10},
'Raleigh': {'pop': 78859, 'tracts': 17},
'Randolph': {'pop': 29405, 'tracts': 7},
'Ritchie': {'pop': 10449, 'tracts': 3},
'Roane': {'pop': 14926, 'tracts': 4},
'Summers': {'pop': 13927, 'tracts': 4},
'Taylor': {'pop': 16895, 'tracts': 4},
'Tucker': {'pop': 7141, 'tracts': 3},
'Tyler': {'pop': 9208, 'tracts': 3},
'Upshur': {'pop': 24254, 'tracts': 6},
'Wayne': {'pop': 42481, 'tracts': 11},
'Webster': {'pop': 9154, 'tracts': 3},
'Wetzel': {'pop': 16583, 'tracts': 5},
'Wirt': {'pop': 5717, 'tracts': 2},
'Wood': {'pop': 86956, 'tracts': 26},
'Wyoming': {'pop': 23796, 'tracts': 6}},
'WY': {'Albany': {'pop': 36299, 'tracts': 10},
'Big Horn': {'pop': 11668, 'tracts': 3},
'Campbell': {'pop': 46133, 'tracts': 7},
'Carbon': {'pop': 15885, 'tracts': 5},
'Converse': {'pop': 13833, 'tracts': 4},
'Crook': {'pop': 7083, 'tracts': 2},
'Fremont': {'pop': 40123, 'tracts': 10},
'Goshen': {'pop': 13249, 'tracts': 4},
'Hot Springs': {'pop': 4812, 'tracts': 2},
'Johnson': {'pop': 8569, 'tracts': 2},
'Laramie': {'pop': 91738, 'tracts': 21},
'Lincoln': {'pop': 18106, 'tracts': 4},
'Natrona': {'pop': 75450, 'tracts': 18},
'Niobrara': {'pop': 2484, 'tracts': 1},
'Park': {'pop': 28205, 'tracts': 5},
'Platte': {'pop': 8667, 'tracts': 2},
'Sheridan': {'pop': 29116, 'tracts': 6},
'Sublette': {'pop': 10247, 'tracts': 2},
'Sweetwater': {'pop': 43806, 'tracts': 12},
'Teton': {'pop': 21294, 'tracts': 4},
'Uinta': {'pop': 21118, 'tracts': 3},
'Washakie': {'pop': 8533, 'tracts': 3},
'Weston': {'pop': 7208, 'tracts': 2}}} | 49.436526 | 65 | 0.452481 | 16,002 | 155,379 | 4.393576 | 0.325772 | 0.032259 | 0.001067 | 0.00128 | 0.000512 | 0 | 0 | 0 | 0 | 0 | 0 | 0.180156 | 0.282664 | 155,379 | 3,143 | 66 | 49.436526 | 0.450623 | 0 | 0 | 0 | 0 | 0 | 0.331593 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.000318 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
fbdcdec6f6daabaf8ab83907c267233eb37da60d | 4,276 | py | Python | Groups/Group_ID_18/CWMVFE.py | shekhar-sharma/DataScience | 1fd771f873a9bc0800458fd7c05e228bb6c4e8a0 | [
"MIT"
] | 5 | 2020-12-13T07:53:22.000Z | 2020-12-20T18:49:27.000Z | Groups/Group_ID_18/CWMVFE.py | Gulnaz-Tabassum/DataScience | 1fd771f873a9bc0800458fd7c05e228bb6c4e8a0 | [
"MIT"
] | null | null | null | Groups/Group_ID_18/CWMVFE.py | Gulnaz-Tabassum/DataScience | 1fd771f873a9bc0800458fd7c05e228bb6c4e8a0 | [
"MIT"
] | 24 | 2020-12-12T11:23:28.000Z | 2021-10-04T13:09:38.000Z | #MCCA (Multiview Canonical Correlation Analysis)
import numpy as np
from scipy import linalg as lin
from sklearn.preprocessing import StandardScaler
from sklearn.neighbors import KNeighborsClassifier
class CWMVFE:
def __init__(self,n_components=2,reg_param=0.01 , L):
self.n_components = n_components
self.reg_param = reg_param
self.dimen = []
self.C = [[]] #covariance matix
#To normalize data so that mean=0 and std dev=1
def normalize(self,X):
return StandardScaler().fit_transform(X)
#for adding regularization parameter
def add_reg_param(self,c):
I = np.identity(c.shape[0])
R = np.dot(self.reg_param,I)
c = c+R
return c
#for calculating covariance matrix
def cov_mat(self,X_list):
views = len(X_list)
N = len(X_list[0])
C = [[np.array([]) for i in range(views)] for j in range(views)]
for i in range(views):
for j in range(views):
C[i][j]=np.dot(X_list[i].T,X_list[j])
C[i][j]=np.divide(C[i][j],float(N))
if i==j:
C[i][j]=self.add_reg_param(C[i][j])
self.C = C
return C
# it will find the k nearest element
def k_nearest(a_list , b_list , n_neighbors):
knn = KNeighborsClassifier(n_neighbors)
knn.fit(a_list , b_list)
return (a_list , b_list)
# it will calculate ecludian distance for jenson shannon algorithm.
def ecludian_distance(x_list):
size = len(x_list)
d = [[]]*size
for i in range(size):
for j in range(size):
m=x[i] - x[j]
if (m >= 0):
d[i][j]=m
else:
d[i][j]= -m
# while the i and j value is not specified is not specified in the algo so i am taking i=0 and j=size.
upperis = pow((1+pow(d[i][j] , 2) , -1)
for i in range(size):
for j in range(i):
loweris = pow((1+pow(d[i][j] , 2) , -1)
q= float(upperis / loweris)
return q
def jenson_shannon(self ,a_list , b_list , L):
mid_q = ((ecludian_distance(a_list) + ecludian_distance(b_list))/2)
num_a = 0
num_b = 0
for i in range(L):
num_a = num_a + (ecludian_distance(a_list)log10(ecludian_distance(a_list)/mid_q))
num_b = num_b + (ecludian_distance(b_list)log10(ecludian_distance(b_list)/mid_q))
js=(0.5(num_a)+num_b)
return js
def sigh(a_list , b_list):
old_a_list = a_list
old_b_list = b_list
sigh_a[] = 0*len(a_list)
sigh_b[] = 0*len(b_list)
k_nearest(a_list , b_list , 5)
for i in range(len(a_list)):
sigh_a
sigh_b[i]= (old_b_list[i] - b_list[i])
sigh_a[i] = (old_a_list[i] - a_list[i])
return (sigh_a , sigh_b)
def transform(self,X_list):
views = len(X_list)
X_list = [self.normalize(x) for x in X_list]
X_reduced = [[]]*views
for i in range(views):
for i in range(views):
X_reduced[i]=np.dot(X_list[i],self.weights[i].T)
return X_reduced
def fit(self , a_list , b_list):
view = len(a_list)
#normalize the data
a_list = [self.normalize(x) for x in a_list]
b_list = [self.normalize(x) for x in b_list]
for i in range(view):
sigh(a_list[i] ,b_list[i])
first_term =first_term + (jenson_shannon(a_list[i] , b_list[i] ,i)(sigh_a)(sigh_b.T)(np.dot(cov_mat(a_list[i]).T , cov_mat(b_list[i]))))
second_term =second_term + (jenson_shannon(a_list[i] , b_list[i] ,i)(sigh_a)(sigh_a.T )(np.dot(cov_mat(a_list[i]).T ,cov_mat(a_list[i])))
# n order to get more generalized flexibility, a parameter γ > 0 is introduced to balance the above two terms, so i assume lamda is 0.5
lamda=0.5
final_value = (first_term - (lamda)*(second_term))
return final_value
def fit_transform(self , a_list , b_list):
self.fit(a_list , b_list)
final_value=np.transpose(final_value)
return final_value
| 32.641221 | 149 | 0.563143 | 676 | 4,276 | 3.357988 | 0.198225 | 0.059471 | 0.043612 | 0.044053 | 0.25815 | 0.206608 | 0.185463 | 0.130396 | 0.107489 | 0.084582 | 0 | 0.011332 | 0.31899 | 4,276 | 130 | 150 | 32.892308 | 0.768201 | 0 | 0 | 0.097826 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.043478 | null | null | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
fbdfdcb0c2a9cd822c60b6faedf5d56ff354a6c6 | 1,071 | py | Python | bfxhfindicators/wma.py | quadramadery/bfx-hf-indicators-py | fe523607ae6c16fc26f1bb1d5e8062a3770b43e4 | [
"Apache-2.0"
] | 1 | 2022-01-12T09:31:45.000Z | 2022-01-12T09:31:45.000Z | bfxhfindicators/wma.py | quadramadery/bfx-hf-indicators-py | fe523607ae6c16fc26f1bb1d5e8062a3770b43e4 | [
"Apache-2.0"
] | null | null | null | bfxhfindicators/wma.py | quadramadery/bfx-hf-indicators-py | fe523607ae6c16fc26f1bb1d5e8062a3770b43e4 | [
"Apache-2.0"
] | null | null | null | from bfxhfindicators.indicator import Indicator
class WMA(Indicator):
def __init__(self, args = []):
[ period ] = args
d = 0
for i in range(period):
d += (i + 1)
self._d = d
self._p = period
self._buffer = []
super().__init__({
'args': args,
'id': 'wma',
'name': 'WMA(%f)' % period,
'seed_period': period
})
def reset(self):
super().reset()
self._buffer = []
def update(self, v):
if len(self._buffer) == 0:
self._buffer.append(v)
else:
self._buffer[-1] = v
if len(self._buffer) < self._p:
return
n = 0
for i in range(self._p):
n += self._buffer[-i - 1] * (self._p - i)
super().update(n / self._d)
return self.v()
def add(self, v):
self._buffer.append(v)
if len(self._buffer) > self._p:
del self._buffer[0]
elif len(self._buffer) < self._p:
return
n = 0
for i in range(self._p):
n += self._buffer[-i - 1] * (self._p - i)
super().add(n / self._d)
return self.v()
| 18.152542 | 47 | 0.519141 | 150 | 1,071 | 3.493333 | 0.246667 | 0.229008 | 0.099237 | 0.040076 | 0.416031 | 0.362595 | 0.29771 | 0.251908 | 0.251908 | 0.251908 | 0 | 0.012295 | 0.316527 | 1,071 | 58 | 48 | 18.465517 | 0.703552 | 0 | 0 | 0.333333 | 0 | 0 | 0.028945 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.095238 | false | 0 | 0.02381 | 0 | 0.238095 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
836d607bb4f413a3224c84e9b615d0b74908dbb0 | 2,304 | py | Python | ga4stpg/tree/generate.py | GiliardGodoi/ppgi-stpg-gpx | 2097b086111e1cde423031c9a9d58f45b2b96353 | [
"MIT"
] | null | null | null | ga4stpg/tree/generate.py | GiliardGodoi/ppgi-stpg-gpx | 2097b086111e1cde423031c9a9d58f45b2b96353 | [
"MIT"
] | 5 | 2021-01-26T17:28:32.000Z | 2021-03-14T13:46:48.000Z | ga4stpg/tree/generate.py | GiliardGodoi/ppgi-stpg-gpx | 2097b086111e1cde423031c9a9d58f45b2b96353 | [
"MIT"
] | 1 | 2021-01-25T16:35:59.000Z | 2021-01-25T16:35:59.000Z | from random import sample, shuffle
from ga4stpg.graph import UGraph
from ga4stpg.graph.disjointsets import DisjointSets
class GenerateBasedPrimRST:
def __init__(self, stpg):
self.stpg = stpg
def __call__(self):
result = UGraph()
terminals = self.stpg.terminals.copy()
GRAPH = self.stpg.graph
edges = set() # or is it better a list?
vi = sample(range(1, self.stpg.nro_nodes+1), k=1)[0]
terminals.discard(vi)
for w in GRAPH.adjacent_to(vi):
edges.add((vi, w))
while terminals and edges:
edge = sample(edges, k=1)[0] # need to ensure randomness
v, w = edge
if w not in result:
terminals.discard(w)
result.add_edge(v, w)
for u in GRAPH.adjacent_to(w):
if u not in result:
edges.add((w, u))
edges.remove(edge) # to remove from a list it can take O(n)
return result
class GenerateBasedKruskalRST:
def __init__(self, stpg):
self.stpg = stpg
def __call__(self):
result = UGraph()
done = DisjointSets()
edges = [(u, v) for u, v in self.stpg.graph.gen_undirect_edges()]
shuffle(edges)
for v in self.stpg.terminals:
done.make_set(v)
while edges and len(done.get_disjoint_sets()) > 1:
edge = edges.pop()
y, z = edge[0], edge[1]
if y not in done: done.make_set(y)
if z not in done: done.make_set(z)
if done.find(y) != done.find(z):
result.add(y, z)
done.union(y, z)
return result
class GenerateBasedRandomWalk:
def __init__(self, stpg):
self.stpg = stpg
def __call__(self):
GRAPH = self.stpg.graph
terminals = self.stpg.terminals.copy()
result = UGraph()
v = terminals.pop()
while terminals:
adjacents = GRAPH.adjacent_to(v, lazy=False)
u = sample(adjacents, k=1)[0]
if u not in result:
result.add_edge(v, u)
terminals.discard(u)
v = u
return result
| 27.105882 | 74 | 0.521267 | 286 | 2,304 | 4.06993 | 0.262238 | 0.089347 | 0.028351 | 0.03866 | 0.228522 | 0.152921 | 0.118557 | 0.118557 | 0.118557 | 0.118557 | 0 | 0.009142 | 0.382813 | 2,304 | 84 | 75 | 27.428571 | 0.809423 | 0.038194 | 0 | 0.344262 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.098361 | false | 0 | 0.04918 | 0 | 0.245902 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
83731763e6cbd3e1546d2f2ccc7d203e0567127e | 1,411 | py | Python | main/migrations/0028_auto_20170103_1634.py | jsmnbom/htxaarhuslan | 5244c4e65f4912c5d2e193f1ac355b3206d1c1b8 | [
"MIT"
] | 1 | 2019-09-06T10:28:40.000Z | 2019-09-06T10:28:40.000Z | main/migrations/0028_auto_20170103_1634.py | jsmnbom/htxaarhuslan | 5244c4e65f4912c5d2e193f1ac355b3206d1c1b8 | [
"MIT"
] | 2 | 2018-10-22T10:33:04.000Z | 2019-01-31T19:36:04.000Z | main/migrations/0028_auto_20170103_1634.py | jsmnbom/htxaarhuslan | 5244c4e65f4912c5d2e193f1ac355b3206d1c1b8 | [
"MIT"
] | 1 | 2019-09-06T10:28:41.000Z | 2019-09-06T10:28:41.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.10.2 on 2017-01-03 15:34
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('main', '0027_auto_20170103_1130'),
]
operations = [
migrations.CreateModel(
name='Event',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=255, verbose_name='navn')),
('url', models.URLField(blank=True, help_text='Valgfri. Link som kan klikkes på kalenderen.', max_length=255, null=True, verbose_name='link')),
('start', models.DateTimeField(null=True, verbose_name='Start')),
('end', models.DateTimeField(blank=True, null=True, verbose_name='Slut')),
('lan', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='main.Lan', verbose_name='lan')),
],
options={
'verbose_name_plural': 'begivenheder',
'verbose_name': 'begivenhed',
},
),
migrations.AlterField(
model_name='tournament',
name='end',
field=models.DateTimeField(blank=True, null=True, verbose_name='Slut'),
),
]
| 38.135135 | 159 | 0.59674 | 151 | 1,411 | 5.410596 | 0.536424 | 0.121175 | 0.073439 | 0.093023 | 0.124847 | 0.124847 | 0.124847 | 0.124847 | 0.124847 | 0 | 0 | 0.037464 | 0.262225 | 1,411 | 36 | 160 | 39.194444 | 0.747358 | 0.048193 | 0 | 0.068966 | 1 | 0 | 0.146269 | 0.017164 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.103448 | 0 | 0.206897 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
8373339dd9a549bf7c7f2156eb693bffea51c85a | 6,207 | py | Python | gw_grb_h_0_ppd_summaries.py | KamshatTazhenova/hh0 | c71845056c5a108cb95654b1a1012d63034541c2 | [
"MIT"
] | 11 | 2017-07-04T06:56:17.000Z | 2022-01-04T08:35:48.000Z | gw_grb_h_0_ppd_summaries.py | KamshatTazhenova/hh0 | c71845056c5a108cb95654b1a1012d63034541c2 | [
"MIT"
] | null | null | null | gw_grb_h_0_ppd_summaries.py | KamshatTazhenova/hh0 | c71845056c5a108cb95654b1a1012d63034541c2 | [
"MIT"
] | 5 | 2017-07-07T10:00:19.000Z | 2021-06-08T09:38:25.000Z | import numpy as np
import matplotlib.pyplot as mp
import matplotlib.cm as mpcm
import matplotlib.colors as mpc
import scipy.stats as ss
# plotting settings
lw = 1.5
mp.rc('font', family = 'serif')
mp.rcParams['text.latex.preamble'] = [r'\boldmath']
mp.rcParams['axes.linewidth'] = lw
mp.rcParams['lines.linewidth'] = lw
cm = mpcm.get_cmap('plasma')
# datafiles
ppds = ['cmb', 'loc']
sums = ['ptes', 'prs']
# posterior summaries
post_means = np.genfromtxt('gw_grb_h_0_posterior_means.csv', \
delimiter=',')
post_vars = np.genfromtxt('gw_grb_h_0_posterior_vars.csv', \
delimiter=',')
n_h_0_true = post_means.shape[0]
n_bs = post_means.shape[1]
print n_bs
h_0_true_col = [cm(col) for col in np.linspace(0.2, 0.8, n_h_0_true)]
fig, axes = mp.subplots(1, 2, figsize=(12, 5))
for i in range(n_h_0_true):
print '* H_0 = {:5.2f}'.format(post_means[i, 0])
to_print = 'posterior mean = {:5.2f} +/- {:4.2f}'
print to_print.format(np.mean(post_means[i, 1:]), \
np.std(post_means[i, 1:]))
to_print = 'posterior sigma = {:5.2f} +/- {:4.2f}'
print to_print.format(np.mean(np.sqrt(post_vars[i, 1:])), \
np.std(np.sqrt(post_vars[i, 1:])))
kde = ss.gaussian_kde(post_means[i, 1:])
grid = np.linspace(np.min(post_means[i, 1:]), \
np.max(post_means[i, 1:]), \
1000)
axes[0].plot(grid, kde.evaluate(grid), color=h_0_true_col[i])
axes[0].axvline(post_means[i, 0], color=h_0_true_col[i], ls='--')
kde = ss.gaussian_kde(np.sqrt(post_vars[i, 1:]))
grid = np.linspace(np.min(np.sqrt(post_vars[i, 1:])), \
np.max(np.sqrt(post_vars[i, 1:])), \
1000)
axes[1].plot(grid, kde.evaluate(grid), color=h_0_true_col[i], \
label=r'$H_0 = {:5.2f}$'.format(post_vars[i, 0]))
axes[0].set_xlabel(r'$\bar{H}_0$', fontsize=18)
axes[0].set_ylabel(r'${\rm Pr}(\bar{H}_0)$', fontsize=18)
axes[0].tick_params(axis='both', which='major', labelsize=12)
axes[1].set_xlabel(r'$\sigma_{H_0}$', fontsize=18)
axes[1].set_ylabel(r'${\rm Pr}(\sigma_{H_0})$', fontsize=18)
axes[1].tick_params(axis='both', which='major', labelsize=12)
axes[1].legend(loc='upper right', fontsize=14)
fig.suptitle('Bootstrap-Averaged Posterior Means / Sigmas', \
fontsize=18)
fig.savefig('gw_grd_h_0_bs_avg_posterior_moments.pdf', \
bbox_inches = 'tight')
mp.close(fig)
# PPD summaries
for i in range(len(ppds)):
for j in range(len(sums)):
# read data
fname = 'gw_grb_h_0_' + ppds[i] + '_ppd_' + sums[j]
data = np.genfromtxt(fname + '.csv', delimiter=',')
n_bs = data.shape[1]
print n_bs
# plot
n_h_0_true = data.shape[0]
fig, axes = mp.subplots(1, n_h_0_true, \
figsize=(6 * n_h_0_true, 5))
if ppds[i] == 'cmb':
fig.suptitle(r'$\hat{H}_0^{\rm CMB}\, {\rm Prediction}$', \
fontsize=18)
else:
fig.suptitle(r'$\hat{H}_0^{\rm CDL}\, {\rm Prediction}$', \
fontsize=18)
if sums[j] == 'ptes':
x_label = r'$p$'
y_label = r'${\rm Pr}(p)$'
else:
x_label = r'$\rho$'
y_label = r'${\rm Pr}(\rho)$'
for k in range(n_h_0_true):
kde = ss.gaussian_kde(data[k, 1:])
grid = np.linspace(np.min(data[k, 1:]), \
np.max(data[k, 1:]), \
1000)
axes[k].plot(grid, kde.evaluate(grid), color=cm(0.5))
axes[k].set_xlabel(x_label, fontsize=18)
axes[k].set_ylabel(y_label, fontsize=18)
axes[k].tick_params(axis='both', which='major', labelsize=12)
axes[k].set_title(r'$H_0 = {:5.2f}$'.format(data[k, 0]), \
fontsize=18)
# finish plot
fig.savefig(fname + '.pdf', bbox_inches = 'tight')
mp.close(fig)
# quick check of required numbers of samples
def rho(d, n, var_ratio, n_event_ref, n_event):
d_n_event = n_event_ref / n_event
return np.exp(-0.5 * rho_num(d, n, d_n_event) / \
rho_den(var_ratio, d_n_event))
def rho_num(d, n, d_n_event):
if d > 0.0:
return (d - n * np.sqrt(d_n_event)) ** 2
else:
return (d + n * np.sqrt(d_n_event)) ** 2
def rho_den(var_ratio, d_n_event):
return var_ratio + d_n_event
def num_ratio(d, n, m, var_ratio):
term = (m ** 2 * var_ratio - d ** 2)
print term
return [((-n * d - \
np.sqrt((n * d) ** 2 - term * (m ** 2 - n ** 2))) / \
term) ** 2, \
((-n * d + \
np.sqrt((n * d) ** 2 - term * (m ** 2 - n ** 2))) / \
term) ** 2]
n_ref = 51.0
mu_obs = np.array([67.81, 73.24])
sig_obs = np.array([0.92, 1.74])
n_sigma_sv = 1.0
n_sigma_thresh = 3.0
n_sigma_diff = [(mu_obs[1] - mu_obs[0]) / np.sqrt(post_vars[i, 1]), \
(mu_obs[0] - mu_obs[1]) / np.sqrt(post_vars[i, 1])]
var_ratio = [sig_obs[1] ** 2 / post_vars[i, 1], \
sig_obs[0] ** 2 / post_vars[i, 1]]
print n_sigma_diff
print var_ratio
n_req = np.zeros(2)
n_req[0] = n_ref * num_ratio(n_sigma_diff[0], n_sigma_sv, \
n_sigma_thresh, var_ratio[0])[0]
ln_rho = -2.0 * np.log(rho(n_sigma_diff[0], n_sigma_sv, \
var_ratio[0], n_ref, n_req[0]))
print n_req[0], ln_rho, n_sigma_thresh ** 2
n_req[1] = n_ref * num_ratio(n_sigma_diff[1], n_sigma_sv, \
n_sigma_thresh, var_ratio[1])[1]
ln_rho = -2.0 * np.log(rho(n_sigma_diff[1], n_sigma_sv, \
var_ratio[1], n_ref, n_req[1]))
print n_req[1], ln_rho, n_sigma_thresh ** 2
n_grid = np.arange(n_ref, 5000.0)
mp.loglog(n_grid, rho_num(n_sigma_diff[0], n_sigma_sv, n_ref / n_grid), 'r', lw=1.0)
mp.plot(n_grid, 1.0 / rho_den(var_ratio[0], n_ref / n_grid), 'g', lw=1.0)
mp.plot(n_grid, 1.0 / rho_den(var_ratio[1], n_ref / n_grid), 'b', lw=1.0)
mp.plot(n_grid, -2.0 * np.log(rho(n_sigma_diff[0], n_sigma_sv, var_ratio[0], \
n_ref, n_grid)), 'g')
mp.plot(n_grid, -2.0 * np.log(rho(n_sigma_diff[1], n_sigma_sv, var_ratio[1], \
n_ref, n_grid)), 'b')
mp.axhline(n_sigma_thresh ** 2, color='k', linestyle='-.')
mp.axvline(n_req[0], color='g', linestyle='-.')
mp.axvline(n_req[1], color='b', linestyle='-.')
mp.xlabel(r'$N$')
mp.ylabel(r'$f(N)$')
mp.xlim(n_ref, 5000)
mp.ylim(0.3, 40.0)
mp.savefig('gw_grb_h_0_ppd_samp_var_limits.pdf', bbox_inches='tight')
mp.show()
exit()
print num_ratio(4.53, n_sigma_sv, n_sigma_thresh, 2.1)
print 5.43, mu_obs[1] - mu_obs[0]
print 1.2, np.sqrt(post_vars[i, 1])
print 5.43 / 1.2, n_sigma_diff[0]
m = 3.0
n = 1.0
d = 3.77 # 4.53
vrat = 1.46 # 2.1
print ((d*n+np.sqrt((d*n)**2-(vrat*m**2-d**2)*(m**2-n**2)))/(vrat*m**2-d**2))**2
| 33.733696 | 84 | 0.624617 | 1,203 | 6,207 | 2.995012 | 0.16542 | 0.043297 | 0.018318 | 0.027755 | 0.50902 | 0.424091 | 0.340272 | 0.206772 | 0.173744 | 0.149598 | 0 | 0.053565 | 0.163847 | 6,207 | 183 | 85 | 33.918033 | 0.640655 | 0.022555 | 0 | 0.11465 | 0 | 0 | 0.111955 | 0.021797 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.031847 | null | null | 0.10828 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
837a8a805f3fa86050a9f939d897eba29f04412d | 1,713 | py | Python | urduhack/stop_words.py | fahdrazavi/urduhack | a2370b0d8c1ee3f260ff90ca5056f45ed9b73ee8 | [
"MIT"
] | null | null | null | urduhack/stop_words.py | fahdrazavi/urduhack | a2370b0d8c1ee3f260ff90ca5056f45ed9b73ee8 | [
"MIT"
] | null | null | null | urduhack/stop_words.py | fahdrazavi/urduhack | a2370b0d8c1ee3f260ff90ca5056f45ed9b73ee8 | [
"MIT"
] | null | null | null | # coding: utf8
"""
Complete collection of stopwords for the Urdu language.
Maintainer: Ikram Ali(mrikram1989@gmail.com)
version = 2019.04.07
Source = https://github.com/urduhack/urdu-stopwords
"""
# Urdu Language Stop words list
STOP_WORDS = frozenset("""
آ آئی آئیں آئے آتا آتی آتے آس آنا آنی آنے آپ آیا ابھی از اس اسی اسے البتہ
الف ان انہوں انہی انہیں اور اپ اپنا اپنی اپنے اکثر اگر اگرچہ ایسا ایسی ایسے ایک اے بار بارے
باوجود باہر بعض بغیر بلکہ بن بنا بناؤ بند بڑی بھر بھریں بھی بہت بیس بے تا تاکہ تب تجھ
تجھے تحت تر تم تمہارا تمہاری تمہارے تمہیں تو تک تھا تھی تھیں تھے تیری جا جاؤ جائیں جائے جاتا
جاتی جاتے جانی جانے جب جبکہ جس جن جنہوں جنہیں جو جہاں جیسا جیسوں جیسی جیسے حالانکہ حالاں حصہ خالی
خود درمیان دوران دوسرا دوسروں دوسری دوسرے دوں دکھائیں دی دیئے دیا دیتا دیتی دیتے دیر دینا دینی دینے
دیکھو دیں دیے دے ذریعے رکھا رکھتا رکھتی رکھتے رکھنا رکھنی رکھنے رکھو رکھی رکھے رہ رہا رہتا رہتی رہتے
رہنا رہنی رہنے رہو رہی رہیں رہے سا ساتھ سامنے سب سو سکا سکتا سکتے سی سے شاید صرف طرح
طرف طور علاوہ عین لئے لا لائی لائے لاتا لاتی لاتے لانا لانی لانے لایا لو لوجی لوگ لوگوں لگ
لگا لگتا لگتی لگی لگیں لگے لہذا لی لیا لیتا لیتی لیتے لیکن لیں لیے لے مجھ مجھے مزید مطابق
مل مگر میرا میری میرے میں نا نہ نہیں نے وار واقعی والا والوں والی والے
وجہ وغیرہ وہ وہاں وہی وہیں وی ویسے پایا پر پھر پیچھے چاہئے چاہتے چاہیئے چاہے چلا چلو چلیں چلے
چونکہ چکی چکیں چکے ڈالنی ڈالنے ڈالے کئے کا کب کبھی کر کرتا کرتی کرتے کرنا کرنے کرو کریں کرے
کس کسی کسے کم کو کوئی کون کونسا کچھ کہ کہا کہاں کہہ کہی کہیں کہے کی کیا کیسے کیونکہ
کیوں کیے کے گئی گئے گا گویا گی گیا گے ہاں ہر ہم ہمارا ہماری ہمارے ہو ہوئی ہوئیں ہوئے
ہوا ہوتا ہوتی ہوتیں ہوتے ہونا ہونگے ہونی ہونے ہوں ہی ہیں ہے یا یات یعنی یہ یہاں یہی یہیں
""".split())
| 57.1 | 101 | 0.76474 | 350 | 1,713 | 3.74 | 0.98 | 0.018335 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009644 | 0.213076 | 1,713 | 29 | 102 | 59.068966 | 0.961424 | 0.126678 | 0 | 0 | 0 | 0 | 0.971083 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
8385780ba677837b4c5c4c3d8cf272c764342143 | 385 | py | Python | backend/todo/migrations/0008_auto_20190403_0812.py | Bhunesh2000/todoWithDjango | e5fa52a087180b66ae283e6b36fe790323d7b920 | [
"MIT"
] | null | null | null | backend/todo/migrations/0008_auto_20190403_0812.py | Bhunesh2000/todoWithDjango | e5fa52a087180b66ae283e6b36fe790323d7b920 | [
"MIT"
] | 11 | 2019-04-03T09:49:17.000Z | 2022-02-10T08:23:26.000Z | backend/todo/migrations/0008_auto_20190403_0812.py | Bhunesh2000/todoWithDjango | e5fa52a087180b66ae283e6b36fe790323d7b920 | [
"MIT"
] | 1 | 2019-10-21T19:26:29.000Z | 2019-10-21T19:26:29.000Z | # Generated by Django 2.2 on 2019-04-03 08:12
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('todo', '0007_todo_dateevent'),
]
operations = [
migrations.AlterField(
model_name='todo',
name='dateEvent',
field=models.DateField(default='2019-04-03'),
),
]
| 20.263158 | 57 | 0.58961 | 41 | 385 | 5.463415 | 0.682927 | 0.053571 | 0.071429 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.094891 | 0.288312 | 385 | 18 | 58 | 21.388889 | 0.722628 | 0.111688 | 0 | 0 | 1 | 0 | 0.135294 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.083333 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
838aa6ee041eb5a569fe74b2aa529125b8e2fda2 | 2,595 | py | Python | scipy_util/util.py | idf/sci_util_py | 53b4d961a1a8faeb444d2972ca7a2baf4a966f6e | [
"BSD-3-Clause"
] | null | null | null | scipy_util/util.py | idf/sci_util_py | 53b4d961a1a8faeb444d2972ca7a2baf4a966f6e | [
"BSD-3-Clause"
] | 1 | 2016-02-10T19:17:20.000Z | 2016-02-10T20:04:59.000Z | scipy_util/util.py | idf/scipy_util | 53b4d961a1a8faeb444d2972ca7a2baf4a966f6e | [
"BSD-3-Clause"
] | null | null | null | """
Adapted from https://github.com/bytefish/facerec
"""
import os
from PIL import Image
import numpy as np
import random
def read_image(filename):
imarr = np.array([])
try:
im = Image.open(os.path.join(filename))
im = im.convert("L") # convert to greyscale
imarr = np.array(im, dtype=np.uint8)
except IOError as (errno, strerror):
print "I/O error({0}): {1}".format(errno, strerror)
except:
print "Cannot open image."
return imarr
def asRowMatrix(X):
"""
Creates a row-matrix from multi-dimensional data items in list l.
X [list] List with multi-dimensional data.
"""
if len(X) == 0:
return np.array([])
total = 1
for i in range(0, np.ndim(X[0])):
total = total * X[0].shape[i]
mat = np.empty([0, total], dtype=X[0].dtype)
for row in X:
mat = np.append(mat, row.reshape(1, -1), axis=0) # same as vstack
return np.asmatrix(mat)
def asColumnMatrix(X):
"""
Creates a column-matrix from multi-dimensional data items in list X.
X [list] List with multi-dimensional data.
"""
if len(X) == 0:
return np.array([])
total = 1
for i in range(0, np.ndim(X[0])):
total = total * X[0].shape[i]
mat = np.empty([total, 0], dtype=X[0].dtype)
for col in X:
mat = np.append(mat, col.reshape(-1, 1), axis=1) # same as hstack
return np.asmatrix(mat)
def minmax_normalize(X, low, high, minX=None, maxX=None, dtype=np.float):
""" min-max normalize a given matrix to given range [low,high].
Args:
X [rows x columns] input data
low [numeric] lower bound
high [numeric] upper bound
"""
if minX is None:
minX = np.min(X)
if maxX is None:
maxX = np.max(X)
minX = float(minX)
maxX = float(maxX)
# Normalize to [0...1].
X = X - minX
X = X / (maxX - minX)
# Scale to [low...high].
X = X * (high - low)
X = X + low
return np.asarray(X, dtype=dtype)
def shuffle(X, y):
idx = np.argsort([random.random() for i in xrange(y.shape[0])])
return X[:, idx], y[idx]
def shuffle_array(X, y):
""" Shuffles two arrays!
"""
idx = np.argsort([random.random() for i in xrange(len(y))])
X = [X[i] for i in idx]
y = [y[i] for i in idx]
return X, y
def to_col_vec(row_vec):
"""
:param row_vec: 1d np array
:return:
"""
return row_vec[:, np.newaxis]
def to_row_vec(col_vec):
"""
:param col_vec: 2d np array
:return:
"""
return col_vec.reshape(1, -1) | 23.807339 | 74 | 0.570713 | 404 | 2,595 | 3.633663 | 0.274752 | 0.010899 | 0.024523 | 0.035422 | 0.337875 | 0.273842 | 0.250681 | 0.250681 | 0.194823 | 0.145777 | 0 | 0.016077 | 0.280925 | 2,595 | 109 | 75 | 23.807339 | 0.770632 | 0.03815 | 0 | 0.20339 | 0 | 0 | 0.020799 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.067797 | null | null | 0.033898 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
83927dd68fcacbf5d7c2a21161a37e8eb6342054 | 1,021 | py | Python | Task2G.py | asew4/Flood-Warning-System-8 | 66f436caf8307232604b830e4dc4ab385de0556e | [
"MIT"
] | null | null | null | Task2G.py | asew4/Flood-Warning-System-8 | 66f436caf8307232604b830e4dc4ab385de0556e | [
"MIT"
] | null | null | null | Task2G.py | asew4/Flood-Warning-System-8 | 66f436caf8307232604b830e4dc4ab385de0556e | [
"MIT"
] | 1 | 2022-02-06T02:27:29.000Z | 2022-02-06T02:27:29.000Z | from floodsystem import stationdata, datafetcher, station
stations = stationdata.build_station_list()
stationdata.update_water_levels(stations)
#Empty lists for each of the risk categories
severe_level_station = []
high_level_station = []
moderate_level_station = []
low_level_station = []
for station in stations: #Sorts out stations into different levels
level = station.relative_water_level()
if level is not None:
if level > 1.2:
severe_level_station.append(station)
elif level > 0.9:
high_level_station.append(station)
elif level > 0.7:
moderate_level_station.append(station)
else:
low_level_station.append(station)
#sets for the different categories
severe_town = {x.town for x in severe_level_station}
high_town = {x.town for x in high_level_station}
moderate_town = {x.town for x in moderate_level_station}
low_town = {x.town for x in low_level_station}
for town in severe_town:
#xx
print(town)
| 30.939394 | 66 | 0.712047 | 142 | 1,021 | 4.873239 | 0.338028 | 0.225434 | 0.104046 | 0.144509 | 0.187861 | 0.187861 | 0.101156 | 0 | 0 | 0 | 0 | 0.007509 | 0.217434 | 1,021 | 32 | 67 | 31.90625 | 0.858573 | 0.115573 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.041667 | 0 | 0.041667 | 0.041667 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
839409e02d06e81916f52fdb0dab1efe39b69585 | 2,190 | py | Python | rotation_analysis/analysis/probe/gui/gui.py | Sepidak/spikeGUI | 25ae60160308c0a34e7180f3e39a1c4dc6aad708 | [
"MIT"
] | null | null | null | rotation_analysis/analysis/probe/gui/gui.py | Sepidak/spikeGUI | 25ae60160308c0a34e7180f3e39a1c4dc6aad708 | [
"MIT"
] | 3 | 2021-08-09T21:51:41.000Z | 2021-08-09T21:51:45.000Z | rotation_analysis/analysis/probe/gui/gui.py | Sepidak/spikeGUI | 25ae60160308c0a34e7180f3e39a1c4dc6aad708 | [
"MIT"
] | 3 | 2021-10-16T14:07:59.000Z | 2021-10-16T17:09:03.000Z | import os
import sys
if sys.platform.startswith('linux'):
from OpenGL import GL
from PyQt5.QtQml import QQmlApplicationEngine
from PyQt5.QtWidgets import QApplication
from analysis.probe.gui.backend_classes import PythonBackendClass1, Logger
from analysis.probe.gui.image_providers import PyplotImageProvider
DEBUG = False
if __name__ == '__main__':
app = QApplication(sys.argv)
appEngine = QQmlApplicationEngine()
context = appEngine.rootContext()
analysis_image_provider1 = PyplotImageProvider(fig=None)
appEngine.addImageProvider("analysisprovider1", analysis_image_provider1)
analysis_image_provider2 = PyplotImageProvider(fig=None)
appEngine.addImageProvider("analysisprovider2", analysis_image_provider2)
# ALL THE ADDIMAGEPROVIDER LINES BELOW ARE REQUIRED TO MAKE QML BELIEVE THE PROVIDER IS VALID BEFORE ITS CREATION
# appEngine.addImageProvider('viewerprovider', CvImageProvider())
# analysis_image_provider = PyplotImageProvider(fig=None)
# appEngine.addImageProvider("analysisprovider", analysis_image_provider)
conf = {
'shared_directory': './' # FIXME: this is obviously BS
}
qml_source_path = os.path.join(conf['shared_directory'], 'qml', 'gui_qtquick', 'gui_qtquick.qml')
if not os.path.isfile(qml_source_path):
raise ValueError("Qml code not found at {}, please verify your installation".format(qml_source_path))
appEngine.load(qml_source_path)
try:
win = appEngine.rootObjects()[0]
except IndexError:
raise ValueError("Could not start the QT GUI")
if not DEBUG:
logger = Logger(context, win, "log")
sys.stdout = logger
print('Hello world')
# icon = QIcon(os.path.join(conf.shared_directory, 'resources', 'icons', 'pyper.png'))
# win.setIcon(icon)
backend = PythonBackendClass1(app, context, win, analysis_image_provider1, analysis_image_provider2) # create instance of backend
context.setContextProperty('py_iface', backend) # register backend python object with qml code under variable name py_iface
win.show()
sys.exit(app.exec_())
| 35.322581 | 135 | 0.719635 | 245 | 2,190 | 6.261224 | 0.489796 | 0.067797 | 0.033898 | 0.068449 | 0.194915 | 0.095176 | 0 | 0 | 0 | 0 | 0 | 0.007332 | 0.190411 | 2,190 | 61 | 136 | 35.901639 | 0.857868 | 0.244292 | 0 | 0 | 0 | 0 | 0.135732 | 0 | 0 | 0 | 0 | 0.016393 | 0 | 1 | 0 | false | 0 | 0.194444 | 0 | 0.194444 | 0.027778 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
83944542d560f5e410e723d98ca83aade353b2f1 | 3,701 | py | Python | test/integration/test_forcemerge.py | jgough/opensearch-curator | e8d7eb4d969eac551db9f99bd021d0c05e28dc35 | [
"Apache-2.0"
] | null | null | null | test/integration/test_forcemerge.py | jgough/opensearch-curator | e8d7eb4d969eac551db9f99bd021d0c05e28dc35 | [
"Apache-2.0"
] | null | null | null | test/integration/test_forcemerge.py | jgough/opensearch-curator | e8d7eb4d969eac551db9f99bd021d0c05e28dc35 | [
"Apache-2.0"
] | null | null | null | import opensearchpy
import curator
import os
import json
import string
import random
import tempfile
from time import sleep
import click
from click import testing as clicktest
from mock import patch, Mock
from . import CuratorTestCase
from . import testvars as testvars
import logging
logger = logging.getLogger(__name__)
host, port = os.environ.get('TEST_ES_SERVER', 'localhost:9200').split(':')
port = int(port) if port else 9200
class TestActionFileforceMerge(CuratorTestCase):
def test_merge(self):
count = 1
idx = 'my_index'
self.create_index(idx)
self.add_docs(idx)
ilo1 = curator.IndexList(self.client)
ilo1._get_segment_counts()
self.assertEqual(3, ilo1.index_info[idx]['segments'])
self.write_config(
self.args['configfile'], testvars.client_config.format(host, port))
self.write_config(self.args['actionfile'],
testvars.forcemerge_test.format(count, 0.9))
test = clicktest.CliRunner()
_ = test.invoke(
curator.cli,
['--config', self.args['configfile'], self.args['actionfile']],
)
ilo2 = curator.IndexList(self.client)
# This stupid block is only for the benefit of Travis CI
# With Python 2.7 and ES 7.0, it apparently can finish testing before
# the segments have _reported_ as fully merged. This is forcing
# 3 checks before giving up and reporting the result.
for _ in range(0, 3):
self.client.indices.refresh(index=idx)
ilo2._get_segment_counts()
if ilo2.index_info[idx]['segments'] == count:
break
else:
sleep(1)
self.assertEqual(count, ilo2.index_info[idx]['segments'])
def test_extra_option(self):
self.write_config(
self.args['configfile'], testvars.client_config.format(host, port))
self.write_config(self.args['actionfile'],
testvars.bad_option_proto_test.format('forcemerge'))
test = clicktest.CliRunner()
result = test.invoke(
curator.cli,
[
'--config', self.args['configfile'],
self.args['actionfile']
],
)
self.assertEqual(1, result.exit_code)
class TestCLIforceMerge(CuratorTestCase):
def test_merge(self):
count = 1
idx = 'my_index'
self.create_index(idx)
self.add_docs(idx)
ilo1 = curator.IndexList(self.client)
ilo1._get_segment_counts()
self.assertEqual(3, ilo1.index_info[idx]['segments'])
args = self.get_runner_args()
args += [
'--config', self.args['configfile'],
'forcemerge',
'--max_num_segments', str(count),
'--delay', '0.9',
'--filter_list', '{"filtertype":"pattern","kind":"prefix","value":"my"}',
]
self.assertEqual(0, self.run_subprocess(args, logname='TestCLIforceMerge.test_merge'))
ilo2 = curator.IndexList(self.client)
# This stupid block is only for the benefit of Travis CI
# With Python 2.7 and ES 7.0, it apparently can finish testing before
# the segments have _reported_ as fully merged. This is forcing
# 3 checks before giving up and reporting the result.
for _ in range(0, 3):
self.client.indices.refresh(index=idx)
ilo2._get_segment_counts()
if ilo2.index_info[idx]['segments'] == count:
break
else:
sleep(1)
self.assertEqual(count, ilo2.index_info[idx]['segments']) | 37.765306 | 94 | 0.604431 | 431 | 3,701 | 5.053364 | 0.299304 | 0.033058 | 0.044995 | 0.055096 | 0.652893 | 0.652893 | 0.652893 | 0.652893 | 0.652893 | 0.652893 | 0 | 0.018189 | 0.286949 | 3,701 | 98 | 95 | 37.765306 | 0.807124 | 0.127803 | 0 | 0.541176 | 0 | 0 | 0.108385 | 0.025155 | 0 | 0 | 0 | 0 | 0.070588 | 1 | 0.035294 | false | 0 | 0.164706 | 0 | 0.223529 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
8398ea34b25e65cea834c631c5374561393da5cc | 35,415 | py | Python | tools/messages/aura4_messages.py | AuraUAS/aura-core | 4711521074db72ba9089213e14455d89dc5306c0 | [
"MIT",
"BSD-2-Clause-FreeBSD"
] | 8 | 2016-08-03T19:35:03.000Z | 2019-12-15T06:25:05.000Z | tools/messages/aura4_messages.py | AuraUAS/aura-core | 4711521074db72ba9089213e14455d89dc5306c0 | [
"MIT",
"BSD-2-Clause-FreeBSD"
] | 4 | 2018-09-27T15:48:56.000Z | 2018-11-05T12:38:10.000Z | tools/messages/aura4_messages.py | AuraUAS/aura-core | 4711521074db72ba9089213e14455d89dc5306c0 | [
"MIT",
"BSD-2-Clause-FreeBSD"
] | 5 | 2017-06-28T19:15:36.000Z | 2020-02-19T19:31:24.000Z | import struct
# Message id constants
command_ack_id = 10
config_airdata_id = 11
config_board_id = 12
config_ekf_id = 13
config_imu_id = 14
config_mixer_id = 15
config_mixer_matrix_id = 16
config_power_id = 17
config_pwm_id = 18
config_stability_damping_id = 19
command_inceptors_id = 20
command_zero_gyros_id = 21
command_reset_ekf_id = 22
command_cycle_inceptors_id = 23
pilot_id = 24
imu_id = 25
aura_nav_pvt_id = 26
airdata_id = 27
power_id = 28
status_id = 29
ekf_id = 30
# Constants
pwm_channels = 8 # number of pwm output channels
sbus_channels = 16 # number of sbus channels
ap_channels = 6 # number of sbus channels
mix_matrix_size = 64 # 8 x 8 mix matrix
# Enums
enum_nav_none = 0 # None
enum_nav_nav15 = 1 # None
enum_nav_nav15_mag = 2 # None
# Message: command_ack
# Id: 10
class command_ack():
id = 10
_pack_string = "<BB"
def __init__(self, msg=None):
# public fields
self.command_id = 0
self.subcommand_id = 0
# unpack if requested
if msg: self.unpack(msg)
def pack(self):
msg = struct.pack(self._pack_string,
self.command_id,
self.subcommand_id)
return msg
def unpack(self, msg):
(self.command_id,
self.subcommand_id) = struct.unpack(self._pack_string, msg)
# Message: config_airdata
# Id: 11
class config_airdata():
id = 11
_pack_string = "<BBBB"
def __init__(self, msg=None):
# public fields
self.barometer = 0
self.pitot = 0
self.swift_baro_addr = 0
self.swift_pitot_addr = 0
# unpack if requested
if msg: self.unpack(msg)
def pack(self):
msg = struct.pack(self._pack_string,
self.barometer,
self.pitot,
self.swift_baro_addr,
self.swift_pitot_addr)
return msg
def unpack(self, msg):
(self.barometer,
self.pitot,
self.swift_baro_addr,
self.swift_pitot_addr) = struct.unpack(self._pack_string, msg)
# Message: config_board
# Id: 12
class config_board():
id = 12
_pack_string = "<BB"
def __init__(self, msg=None):
# public fields
self.board = 0
self.led_pin = 0
# unpack if requested
if msg: self.unpack(msg)
def pack(self):
msg = struct.pack(self._pack_string,
self.board,
self.led_pin)
return msg
def unpack(self, msg):
(self.board,
self.led_pin) = struct.unpack(self._pack_string, msg)
# Message: config_ekf
# Id: 13
class config_ekf():
id = 13
_pack_string = "<Bfffffffffff"
def __init__(self, msg=None):
# public fields
self.select = 0
self.sig_w_accel = 0.0
self.sig_w_gyro = 0.0
self.sig_a_d = 0.0
self.tau_a = 0.0
self.sig_g_d = 0.0
self.tau_g = 0.0
self.sig_gps_p_ne = 0.0
self.sig_gps_p_d = 0.0
self.sig_gps_v_ne = 0.0
self.sig_gps_v_d = 0.0
self.sig_mag = 0.0
# unpack if requested
if msg: self.unpack(msg)
def pack(self):
msg = struct.pack(self._pack_string,
self.select,
self.sig_w_accel,
self.sig_w_gyro,
self.sig_a_d,
self.tau_a,
self.sig_g_d,
self.tau_g,
self.sig_gps_p_ne,
self.sig_gps_p_d,
self.sig_gps_v_ne,
self.sig_gps_v_d,
self.sig_mag)
return msg
def unpack(self, msg):
(self.select,
self.sig_w_accel,
self.sig_w_gyro,
self.sig_a_d,
self.tau_a,
self.sig_g_d,
self.tau_g,
self.sig_gps_p_ne,
self.sig_gps_p_d,
self.sig_gps_v_ne,
self.sig_gps_v_d,
self.sig_mag) = struct.unpack(self._pack_string, msg)
# Message: config_imu
# Id: 14
class config_imu():
id = 14
_pack_string = "<BBfffffffffffffffffffffffffffffff"
def __init__(self, msg=None):
# public fields
self.interface = 0
self.pin_or_address = 0
self.strapdown_calib = [0.0] * 9
self.accel_scale = [0.0] * 3
self.accel_translate = [0.0] * 3
self.mag_affine = [0.0] * 16
# unpack if requested
if msg: self.unpack(msg)
def pack(self):
msg = struct.pack(self._pack_string,
self.interface,
self.pin_or_address,
self.strapdown_calib[0],
self.strapdown_calib[1],
self.strapdown_calib[2],
self.strapdown_calib[3],
self.strapdown_calib[4],
self.strapdown_calib[5],
self.strapdown_calib[6],
self.strapdown_calib[7],
self.strapdown_calib[8],
self.accel_scale[0],
self.accel_scale[1],
self.accel_scale[2],
self.accel_translate[0],
self.accel_translate[1],
self.accel_translate[2],
self.mag_affine[0],
self.mag_affine[1],
self.mag_affine[2],
self.mag_affine[3],
self.mag_affine[4],
self.mag_affine[5],
self.mag_affine[6],
self.mag_affine[7],
self.mag_affine[8],
self.mag_affine[9],
self.mag_affine[10],
self.mag_affine[11],
self.mag_affine[12],
self.mag_affine[13],
self.mag_affine[14],
self.mag_affine[15])
return msg
def unpack(self, msg):
(self.interface,
self.pin_or_address,
self.strapdown_calib[0],
self.strapdown_calib[1],
self.strapdown_calib[2],
self.strapdown_calib[3],
self.strapdown_calib[4],
self.strapdown_calib[5],
self.strapdown_calib[6],
self.strapdown_calib[7],
self.strapdown_calib[8],
self.accel_scale[0],
self.accel_scale[1],
self.accel_scale[2],
self.accel_translate[0],
self.accel_translate[1],
self.accel_translate[2],
self.mag_affine[0],
self.mag_affine[1],
self.mag_affine[2],
self.mag_affine[3],
self.mag_affine[4],
self.mag_affine[5],
self.mag_affine[6],
self.mag_affine[7],
self.mag_affine[8],
self.mag_affine[9],
self.mag_affine[10],
self.mag_affine[11],
self.mag_affine[12],
self.mag_affine[13],
self.mag_affine[14],
self.mag_affine[15]) = struct.unpack(self._pack_string, msg)
# Message: config_mixer
# Id: 15
class config_mixer():
id = 15
_pack_string = "<BBBBBBBfffffffffff"
def __init__(self, msg=None):
# public fields
self.mix_autocoord = False
self.mix_throttle_trim = False
self.mix_flap_trim = False
self.mix_elevon = False
self.mix_flaperon = False
self.mix_vtail = False
self.mix_diff_thrust = False
self.mix_Gac = 0.0
self.mix_Get = 0.0
self.mix_Gef = 0.0
self.mix_Gea = 0.0
self.mix_Gee = 0.0
self.mix_Gfa = 0.0
self.mix_Gff = 0.0
self.mix_Gve = 0.0
self.mix_Gvr = 0.0
self.mix_Gtt = 0.0
self.mix_Gtr = 0.0
# unpack if requested
if msg: self.unpack(msg)
def pack(self):
msg = struct.pack(self._pack_string,
self.mix_autocoord,
self.mix_throttle_trim,
self.mix_flap_trim,
self.mix_elevon,
self.mix_flaperon,
self.mix_vtail,
self.mix_diff_thrust,
self.mix_Gac,
self.mix_Get,
self.mix_Gef,
self.mix_Gea,
self.mix_Gee,
self.mix_Gfa,
self.mix_Gff,
self.mix_Gve,
self.mix_Gvr,
self.mix_Gtt,
self.mix_Gtr)
return msg
def unpack(self, msg):
(self.mix_autocoord,
self.mix_throttle_trim,
self.mix_flap_trim,
self.mix_elevon,
self.mix_flaperon,
self.mix_vtail,
self.mix_diff_thrust,
self.mix_Gac,
self.mix_Get,
self.mix_Gef,
self.mix_Gea,
self.mix_Gee,
self.mix_Gfa,
self.mix_Gff,
self.mix_Gve,
self.mix_Gvr,
self.mix_Gtt,
self.mix_Gtr) = struct.unpack(self._pack_string, msg)
# Message: config_mixer_matrix
# Id: 16
class config_mixer_matrix():
id = 16
_pack_string = "<hhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhh"
def __init__(self, msg=None):
# public fields
self.matrix = [0.0] * mix_matrix_size
# unpack if requested
if msg: self.unpack(msg)
def pack(self):
msg = struct.pack(self._pack_string,
int(round(self.matrix[0] * 16384)),
int(round(self.matrix[1] * 16384)),
int(round(self.matrix[2] * 16384)),
int(round(self.matrix[3] * 16384)),
int(round(self.matrix[4] * 16384)),
int(round(self.matrix[5] * 16384)),
int(round(self.matrix[6] * 16384)),
int(round(self.matrix[7] * 16384)),
int(round(self.matrix[8] * 16384)),
int(round(self.matrix[9] * 16384)),
int(round(self.matrix[10] * 16384)),
int(round(self.matrix[11] * 16384)),
int(round(self.matrix[12] * 16384)),
int(round(self.matrix[13] * 16384)),
int(round(self.matrix[14] * 16384)),
int(round(self.matrix[15] * 16384)),
int(round(self.matrix[16] * 16384)),
int(round(self.matrix[17] * 16384)),
int(round(self.matrix[18] * 16384)),
int(round(self.matrix[19] * 16384)),
int(round(self.matrix[20] * 16384)),
int(round(self.matrix[21] * 16384)),
int(round(self.matrix[22] * 16384)),
int(round(self.matrix[23] * 16384)),
int(round(self.matrix[24] * 16384)),
int(round(self.matrix[25] * 16384)),
int(round(self.matrix[26] * 16384)),
int(round(self.matrix[27] * 16384)),
int(round(self.matrix[28] * 16384)),
int(round(self.matrix[29] * 16384)),
int(round(self.matrix[30] * 16384)),
int(round(self.matrix[31] * 16384)),
int(round(self.matrix[32] * 16384)),
int(round(self.matrix[33] * 16384)),
int(round(self.matrix[34] * 16384)),
int(round(self.matrix[35] * 16384)),
int(round(self.matrix[36] * 16384)),
int(round(self.matrix[37] * 16384)),
int(round(self.matrix[38] * 16384)),
int(round(self.matrix[39] * 16384)),
int(round(self.matrix[40] * 16384)),
int(round(self.matrix[41] * 16384)),
int(round(self.matrix[42] * 16384)),
int(round(self.matrix[43] * 16384)),
int(round(self.matrix[44] * 16384)),
int(round(self.matrix[45] * 16384)),
int(round(self.matrix[46] * 16384)),
int(round(self.matrix[47] * 16384)),
int(round(self.matrix[48] * 16384)),
int(round(self.matrix[49] * 16384)),
int(round(self.matrix[50] * 16384)),
int(round(self.matrix[51] * 16384)),
int(round(self.matrix[52] * 16384)),
int(round(self.matrix[53] * 16384)),
int(round(self.matrix[54] * 16384)),
int(round(self.matrix[55] * 16384)),
int(round(self.matrix[56] * 16384)),
int(round(self.matrix[57] * 16384)),
int(round(self.matrix[58] * 16384)),
int(round(self.matrix[59] * 16384)),
int(round(self.matrix[60] * 16384)),
int(round(self.matrix[61] * 16384)),
int(round(self.matrix[62] * 16384)),
int(round(self.matrix[63] * 16384)))
return msg
def unpack(self, msg):
(self.matrix[0],
self.matrix[1],
self.matrix[2],
self.matrix[3],
self.matrix[4],
self.matrix[5],
self.matrix[6],
self.matrix[7],
self.matrix[8],
self.matrix[9],
self.matrix[10],
self.matrix[11],
self.matrix[12],
self.matrix[13],
self.matrix[14],
self.matrix[15],
self.matrix[16],
self.matrix[17],
self.matrix[18],
self.matrix[19],
self.matrix[20],
self.matrix[21],
self.matrix[22],
self.matrix[23],
self.matrix[24],
self.matrix[25],
self.matrix[26],
self.matrix[27],
self.matrix[28],
self.matrix[29],
self.matrix[30],
self.matrix[31],
self.matrix[32],
self.matrix[33],
self.matrix[34],
self.matrix[35],
self.matrix[36],
self.matrix[37],
self.matrix[38],
self.matrix[39],
self.matrix[40],
self.matrix[41],
self.matrix[42],
self.matrix[43],
self.matrix[44],
self.matrix[45],
self.matrix[46],
self.matrix[47],
self.matrix[48],
self.matrix[49],
self.matrix[50],
self.matrix[51],
self.matrix[52],
self.matrix[53],
self.matrix[54],
self.matrix[55],
self.matrix[56],
self.matrix[57],
self.matrix[58],
self.matrix[59],
self.matrix[60],
self.matrix[61],
self.matrix[62],
self.matrix[63],) = struct.unpack(self._pack_string, msg)
self.matrix[0] /= 16384
self.matrix[1] /= 16384
self.matrix[2] /= 16384
self.matrix[3] /= 16384
self.matrix[4] /= 16384
self.matrix[5] /= 16384
self.matrix[6] /= 16384
self.matrix[7] /= 16384
self.matrix[8] /= 16384
self.matrix[9] /= 16384
self.matrix[10] /= 16384
self.matrix[11] /= 16384
self.matrix[12] /= 16384
self.matrix[13] /= 16384
self.matrix[14] /= 16384
self.matrix[15] /= 16384
self.matrix[16] /= 16384
self.matrix[17] /= 16384
self.matrix[18] /= 16384
self.matrix[19] /= 16384
self.matrix[20] /= 16384
self.matrix[21] /= 16384
self.matrix[22] /= 16384
self.matrix[23] /= 16384
self.matrix[24] /= 16384
self.matrix[25] /= 16384
self.matrix[26] /= 16384
self.matrix[27] /= 16384
self.matrix[28] /= 16384
self.matrix[29] /= 16384
self.matrix[30] /= 16384
self.matrix[31] /= 16384
self.matrix[32] /= 16384
self.matrix[33] /= 16384
self.matrix[34] /= 16384
self.matrix[35] /= 16384
self.matrix[36] /= 16384
self.matrix[37] /= 16384
self.matrix[38] /= 16384
self.matrix[39] /= 16384
self.matrix[40] /= 16384
self.matrix[41] /= 16384
self.matrix[42] /= 16384
self.matrix[43] /= 16384
self.matrix[44] /= 16384
self.matrix[45] /= 16384
self.matrix[46] /= 16384
self.matrix[47] /= 16384
self.matrix[48] /= 16384
self.matrix[49] /= 16384
self.matrix[50] /= 16384
self.matrix[51] /= 16384
self.matrix[52] /= 16384
self.matrix[53] /= 16384
self.matrix[54] /= 16384
self.matrix[55] /= 16384
self.matrix[56] /= 16384
self.matrix[57] /= 16384
self.matrix[58] /= 16384
self.matrix[59] /= 16384
self.matrix[60] /= 16384
self.matrix[61] /= 16384
self.matrix[62] /= 16384
self.matrix[63] /= 16384
# Message: config_power
# Id: 17
class config_power():
id = 17
_pack_string = "<B"
def __init__(self, msg=None):
# public fields
self.have_attopilot = False
# unpack if requested
if msg: self.unpack(msg)
def pack(self):
msg = struct.pack(self._pack_string,
self.have_attopilot)
return msg
def unpack(self, msg):
(self.have_attopilot,) = struct.unpack(self._pack_string, msg)
# Message: config_pwm
# Id: 18
class config_pwm():
id = 18
_pack_string = "<Hffffffff"
def __init__(self, msg=None):
# public fields
self.pwm_hz = 0
self.act_gain = [0.0] * pwm_channels
# unpack if requested
if msg: self.unpack(msg)
def pack(self):
msg = struct.pack(self._pack_string,
self.pwm_hz,
self.act_gain[0],
self.act_gain[1],
self.act_gain[2],
self.act_gain[3],
self.act_gain[4],
self.act_gain[5],
self.act_gain[6],
self.act_gain[7])
return msg
def unpack(self, msg):
(self.pwm_hz,
self.act_gain[0],
self.act_gain[1],
self.act_gain[2],
self.act_gain[3],
self.act_gain[4],
self.act_gain[5],
self.act_gain[6],
self.act_gain[7]) = struct.unpack(self._pack_string, msg)
# Message: config_stability_damping
# Id: 19
class config_stability_damping():
id = 19
_pack_string = "<BBBBffff"
def __init__(self, msg=None):
# public fields
self.sas_rollaxis = False
self.sas_pitchaxis = False
self.sas_yawaxis = False
self.sas_tune = False
self.sas_rollgain = 0.0
self.sas_pitchgain = 0.0
self.sas_yawgain = 0.0
self.sas_max_gain = 0.0
# unpack if requested
if msg: self.unpack(msg)
def pack(self):
msg = struct.pack(self._pack_string,
self.sas_rollaxis,
self.sas_pitchaxis,
self.sas_yawaxis,
self.sas_tune,
self.sas_rollgain,
self.sas_pitchgain,
self.sas_yawgain,
self.sas_max_gain)
return msg
def unpack(self, msg):
(self.sas_rollaxis,
self.sas_pitchaxis,
self.sas_yawaxis,
self.sas_tune,
self.sas_rollgain,
self.sas_pitchgain,
self.sas_yawgain,
self.sas_max_gain) = struct.unpack(self._pack_string, msg)
# Message: command_inceptors
# Id: 20
class command_inceptors():
id = 20
_pack_string = "<hhhhhh"
def __init__(self, msg=None):
# public fields
self.channel = [0.0] * ap_channels
# unpack if requested
if msg: self.unpack(msg)
def pack(self):
msg = struct.pack(self._pack_string,
int(round(self.channel[0] * 16384)),
int(round(self.channel[1] * 16384)),
int(round(self.channel[2] * 16384)),
int(round(self.channel[3] * 16384)),
int(round(self.channel[4] * 16384)),
int(round(self.channel[5] * 16384)))
return msg
def unpack(self, msg):
(self.channel[0],
self.channel[1],
self.channel[2],
self.channel[3],
self.channel[4],
self.channel[5],) = struct.unpack(self._pack_string, msg)
self.channel[0] /= 16384
self.channel[1] /= 16384
self.channel[2] /= 16384
self.channel[3] /= 16384
self.channel[4] /= 16384
self.channel[5] /= 16384
# Message: command_zero_gyros
# Id: 21
class command_zero_gyros():
id = 21
_pack_string = "<"
def __init__(self, msg=None):
# public fields
# unpack if requested
if msg: self.unpack(msg)
def pack(self):
msg = struct.pack(self._pack_string,
return msg
def unpack(self, msg):
# Message: command_reset_ekf
# Id: 22
class command_reset_ekf():
id = 22
_pack_string = "<"
def __init__(self, msg=None):
# public fields
# unpack if requested
if msg: self.unpack(msg)
def pack(self):
msg = struct.pack(self._pack_string,
return msg
def unpack(self, msg):
# Message: command_cycle_inceptors
# Id: 23
class command_cycle_inceptors():
id = 23
_pack_string = "<"
def __init__(self, msg=None):
# public fields
# unpack if requested
if msg: self.unpack(msg)
def pack(self):
msg = struct.pack(self._pack_string,
return msg
def unpack(self, msg):
# Message: pilot
# Id: 24
class pilot():
id = 24
_pack_string = "<hhhhhhhhhhhhhhhhB"
def __init__(self, msg=None):
# public fields
self.channel = [0.0] * sbus_channels
self.flags = 0
# unpack if requested
if msg: self.unpack(msg)
def pack(self):
msg = struct.pack(self._pack_string,
int(round(self.channel[0] * 16384)),
int(round(self.channel[1] * 16384)),
int(round(self.channel[2] * 16384)),
int(round(self.channel[3] * 16384)),
int(round(self.channel[4] * 16384)),
int(round(self.channel[5] * 16384)),
int(round(self.channel[6] * 16384)),
int(round(self.channel[7] * 16384)),
int(round(self.channel[8] * 16384)),
int(round(self.channel[9] * 16384)),
int(round(self.channel[10] * 16384)),
int(round(self.channel[11] * 16384)),
int(round(self.channel[12] * 16384)),
int(round(self.channel[13] * 16384)),
int(round(self.channel[14] * 16384)),
int(round(self.channel[15] * 16384)),
self.flags)
return msg
def unpack(self, msg):
(self.channel[0],
self.channel[1],
self.channel[2],
self.channel[3],
self.channel[4],
self.channel[5],
self.channel[6],
self.channel[7],
self.channel[8],
self.channel[9],
self.channel[10],
self.channel[11],
self.channel[12],
self.channel[13],
self.channel[14],
self.channel[15],
self.flags) = struct.unpack(self._pack_string, msg)
self.channel[0] /= 16384
self.channel[1] /= 16384
self.channel[2] /= 16384
self.channel[3] /= 16384
self.channel[4] /= 16384
self.channel[5] /= 16384
self.channel[6] /= 16384
self.channel[7] /= 16384
self.channel[8] /= 16384
self.channel[9] /= 16384
self.channel[10] /= 16384
self.channel[11] /= 16384
self.channel[12] /= 16384
self.channel[13] /= 16384
self.channel[14] /= 16384
self.channel[15] /= 16384
# Message: imu
# Id: 25
class imu():
id = 25
_pack_string = "<Lhhhhhhhhhhhhhhhh"
def __init__(self, msg=None):
# public fields
self.millis = 0
self.raw = [0] * 6
self.cal = [0] * 10
# unpack if requested
if msg: self.unpack(msg)
def pack(self):
msg = struct.pack(self._pack_string,
self.millis,
self.raw[0],
self.raw[1],
self.raw[2],
self.raw[3],
self.raw[4],
self.raw[5],
self.cal[0],
self.cal[1],
self.cal[2],
self.cal[3],
self.cal[4],
self.cal[5],
self.cal[6],
self.cal[7],
self.cal[8],
self.cal[9])
return msg
def unpack(self, msg):
(self.millis,
self.raw[0],
self.raw[1],
self.raw[2],
self.raw[3],
self.raw[4],
self.raw[5],
self.cal[0],
self.cal[1],
self.cal[2],
self.cal[3],
self.cal[4],
self.cal[5],
self.cal[6],
self.cal[7],
self.cal[8],
self.cal[9]) = struct.unpack(self._pack_string, msg)
# Message: aura_nav_pvt
# Id: 26
class aura_nav_pvt():
id = 26
_pack_string = "<LhBBBBBBLlBBBBllllLLlllLlLLHBBBBBBlhH"
def __init__(self, msg=None):
# public fields
self.iTOW = 0
self.year = 0
self.month = 0
self.day = 0
self.hour = 0
self.min = 0
self.sec = 0
self.valid = 0
self.tAcc = 0
self.nano = 0
self.fixType = 0
self.flags = 0
self.flags2 = 0
self.numSV = 0
self.lon = 0
self.lat = 0
self.height = 0
self.hMSL = 0
self.hAcc = 0
self.vAcc = 0
self.velN = 0
self.velE = 0
self.velD = 0
self.gSpeed = 0
self.heading = 0
self.sAcc = 0
self.headingAcc = 0
self.pDOP = 0
self.reserved = [0] * 6
self.headVeh = 0
self.magDec = 0
self.magAcc = 0
# unpack if requested
if msg: self.unpack(msg)
def pack(self):
msg = struct.pack(self._pack_string,
self.iTOW,
self.year,
self.month,
self.day,
self.hour,
self.min,
self.sec,
self.valid,
self.tAcc,
self.nano,
self.fixType,
self.flags,
self.flags2,
self.numSV,
self.lon,
self.lat,
self.height,
self.hMSL,
self.hAcc,
self.vAcc,
self.velN,
self.velE,
self.velD,
self.gSpeed,
self.heading,
self.sAcc,
self.headingAcc,
self.pDOP,
self.reserved[0],
self.reserved[1],
self.reserved[2],
self.reserved[3],
self.reserved[4],
self.reserved[5],
self.headVeh,
self.magDec,
self.magAcc)
return msg
def unpack(self, msg):
(self.iTOW,
self.year,
self.month,
self.day,
self.hour,
self.min,
self.sec,
self.valid,
self.tAcc,
self.nano,
self.fixType,
self.flags,
self.flags2,
self.numSV,
self.lon,
self.lat,
self.height,
self.hMSL,
self.hAcc,
self.vAcc,
self.velN,
self.velE,
self.velD,
self.gSpeed,
self.heading,
self.sAcc,
self.headingAcc,
self.pDOP,
self.reserved[0],
self.reserved[1],
self.reserved[2],
self.reserved[3],
self.reserved[4],
self.reserved[5],
self.headVeh,
self.magDec,
self.magAcc) = struct.unpack(self._pack_string, msg)
# Message: airdata
# Id: 27
class airdata():
id = 27
_pack_string = "<ffffffH"
def __init__(self, msg=None):
# public fields
self.baro_press_pa = 0.0
self.baro_temp_C = 0.0
self.baro_hum = 0.0
self.ext_diff_press_pa = 0.0
self.ext_static_press_pa = 0.0
self.ext_temp_C = 0.0
self.error_count = 0
# unpack if requested
if msg: self.unpack(msg)
def pack(self):
msg = struct.pack(self._pack_string,
self.baro_press_pa,
self.baro_temp_C,
self.baro_hum,
self.ext_diff_press_pa,
self.ext_static_press_pa,
self.ext_temp_C,
self.error_count)
return msg
def unpack(self, msg):
(self.baro_press_pa,
self.baro_temp_C,
self.baro_hum,
self.ext_diff_press_pa,
self.ext_static_press_pa,
self.ext_temp_C,
self.error_count) = struct.unpack(self._pack_string, msg)
# Message: power
# Id: 28
class power():
id = 28
_pack_string = "<HHHH"
def __init__(self, msg=None):
# public fields
self.int_main_v = 0.0
self.avionics_v = 0.0
self.ext_main_v = 0.0
self.ext_main_amp = 0.0
# unpack if requested
if msg: self.unpack(msg)
def pack(self):
msg = struct.pack(self._pack_string,
int(round(self.int_main_v * 100)),
int(round(self.avionics_v * 100)),
int(round(self.ext_main_v * 100)),
int(round(self.ext_main_amp * 100)))
return msg
def unpack(self, msg):
(self.int_main_v,
self.avionics_v,
self.ext_main_v,
self.ext_main_amp) = struct.unpack(self._pack_string, msg)
self.int_main_v /= 100
self.avionics_v /= 100
self.ext_main_v /= 100
self.ext_main_amp /= 100
# Message: status
# Id: 29
class status():
id = 29
_pack_string = "<HHHLHH"
def __init__(self, msg=None):
# public fields
self.serial_number = 0
self.firmware_rev = 0
self.master_hz = 0
self.baud = 0
self.byte_rate = 0
self.timer_misses = 0
# unpack if requested
if msg: self.unpack(msg)
def pack(self):
msg = struct.pack(self._pack_string,
self.serial_number,
self.firmware_rev,
self.master_hz,
self.baud,
self.byte_rate,
self.timer_misses)
return msg
def unpack(self, msg):
(self.serial_number,
self.firmware_rev,
self.master_hz,
self.baud,
self.byte_rate,
self.timer_misses) = struct.unpack(self._pack_string, msg)
# Message: ekf
# Id: 30
class ekf():
id = 30
_pack_string = "<LddfffffffffffffHHHB"
def __init__(self, msg=None):
# public fields
self.millis = 0
self.lat_rad = 0.0
self.lon_rad = 0.0
self.altitude_m = 0.0
self.vn_ms = 0.0
self.ve_ms = 0.0
self.vd_ms = 0.0
self.phi_rad = 0.0
self.the_rad = 0.0
self.psi_rad = 0.0
self.p_bias = 0.0
self.q_bias = 0.0
self.r_bias = 0.0
self.ax_bias = 0.0
self.ay_bias = 0.0
self.az_bias = 0.0
self.max_pos_cov = 0.0
self.max_vel_cov = 0.0
self.max_att_cov = 0.0
self.status = 0
# unpack if requested
if msg: self.unpack(msg)
def pack(self):
msg = struct.pack(self._pack_string,
self.millis,
self.lat_rad,
self.lon_rad,
self.altitude_m,
self.vn_ms,
self.ve_ms,
self.vd_ms,
self.phi_rad,
self.the_rad,
self.psi_rad,
self.p_bias,
self.q_bias,
self.r_bias,
self.ax_bias,
self.ay_bias,
self.az_bias,
int(round(self.max_pos_cov * 100)),
int(round(self.max_vel_cov * 1000)),
int(round(self.max_att_cov * 10000)),
self.status)
return msg
def unpack(self, msg):
(self.millis,
self.lat_rad,
self.lon_rad,
self.altitude_m,
self.vn_ms,
self.ve_ms,
self.vd_ms,
self.phi_rad,
self.the_rad,
self.psi_rad,
self.p_bias,
self.q_bias,
self.r_bias,
self.ax_bias,
self.ay_bias,
self.az_bias,
self.max_pos_cov,
self.max_vel_cov,
self.max_att_cov,
self.status) = struct.unpack(self._pack_string, msg)
self.max_pos_cov /= 100
self.max_vel_cov /= 1000
self.max_att_cov /= 10000
| 30.742188 | 86 | 0.472766 | 4,052 | 35,415 | 3.950888 | 0.070089 | 0.120557 | 0.069711 | 0.088138 | 0.67918 | 0.531014 | 0.519395 | 0.477794 | 0.434443 | 0.425448 | 0 | 0.08817 | 0.41906 | 35,415 | 1,151 | 87 | 30.768897 | 0.689948 | 0 | 0 | 0.474385 | 0 | 0 | 0.008508 | 0.004667 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.001025 | null | null | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
83a488662edcd23d97eb9c55b24ca7fbca5d6193 | 7,727 | py | Python | gw_full_latest/CloudTTN.py | rendikanyut/LowCostLoRaGw | a4bce0cf123ffeb48a01e779a62d76b1bf1c4486 | [
"Linux-OpenIB"
] | 654 | 2016-03-01T08:43:24.000Z | 2022-03-22T06:55:27.000Z | gw_full_latest/CloudTTN.py | rendikanyut/LowCostLoRaGw | a4bce0cf123ffeb48a01e779a62d76b1bf1c4486 | [
"Linux-OpenIB"
] | 315 | 2016-02-25T10:36:11.000Z | 2022-03-31T20:59:21.000Z | gw_full_latest/CloudTTN.py | rendikanyut/LowCostLoRaGw | a4bce0cf123ffeb48a01e779a62d76b1bf1c4486 | [
"Linux-OpenIB"
] | 388 | 2016-02-16T14:40:36.000Z | 2022-03-15T04:03:20.000Z | #-------------------------------------------------------------------------------
# Part of this Python script is taken from the Pycom NanoGateway
# https://github.com/pycom/pycom-libraries/tree/master/examples/lorawan-nano-gateway
#
# Adapted by Congduc.Pham@univ-pau.fr
#
# This file is part of the low-cost LoRa gateway developped at University of Pau
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with the program. If not, see <http://www.gnu.org/licenses/>.
#-------------------------------------------------------------------------------
import binascii
import json
import os
import socket
import time
import datetime
from dateutil import parser
import calendar
import sys
#don't generate pyc (no compilation of imported module) so change in key_* file can be done dynamically
sys.dont_write_bytecode = True
import key_TTN as key_LoRaWAN
netserv='TTN'
try:
key_LoRaWAN.source_list
except AttributeError:
key_LoRaWAN.source_list=[]
try:
key_LoRaWAN.lorawan_server
except AttributeError:
key_LoRaWAN.lorawan_server="router.eu.thethings.network"
try:
key_LoRaWAN.lorawan_port
except AttributeError:
key_LoRaWAN.lorawan_port=1700
PROTOCOL_VERSION = 2
PUSH_DATA = 0
PUSH_ACK = 1
PULL_DATA = 2
PULL_ACK = 4
PULL_RESP = 3
RX_PK = {
'rxpk': [{
'time': '',
'tmst': 0,
'chan': 0,
'rfch': 0,
'freq': 0,
'stat': 1,
'modu': 'LORA',
'datr': '',
'codr': '4/5',
'rssi': 0,
'lsnr': 0,
'size': 0,
'data': ''
}]
}
TX_ACK_PK = {
'txpk_ack': {
'error': ''
}
}
class LoRaWAN:
def __init__(self, id, frequency, bw, sf, server, port):
self.id = id
self.frequency = frequency
self.sf = sf
self.bw = bw
self.server = server
self.port = port
self.server_ip = None
self.sock = None
def start(self):
self._log('Cloud%s: gw id: {}' % netserv, self.id)
# get the server IP and create an UDP socket
try:
self.server_ip = socket.getaddrinfo(self.server, self.port)[0][-1]
self._log('Cloud%s: Opening UDP socket to {} ({}) port {}...' % netserv, self.server, self.server_ip[0], self.server_ip[1])
self.sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM, socket.IPPROTO_UDP)
self.sock.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
self.sock.setblocking(False)
except Exception as ex:
self._log('Cloud%s: Failed to connect to server: {}' % netserv, ex)
def _sf_bw_to_dr(self, sf, bw):
dr = 'SF' + str(sf)
if bw == 125:
return dr + 'BW125'
elif bw == 250:
return dr + 'BW250'
else:
return dr + 'BW500'
def rx_packet(self, ldata, datalen, tdata, tmst, rssi, snr):
RX_PK["rxpk"][0]["time"] = tdata
if tmst=='':
#in seconds, maybe we should put it in microsecond?
RX_PK["rxpk"][0]["tmst"] = calendar.timegm(time.gmtime())
else:
RX_PK["rxpk"][0]["tmst"] = int(tmst)
RX_PK["rxpk"][0]["freq"] = self.frequency
RX_PK["rxpk"][0]["datr"] = self._sf_bw_to_dr(self.sf, self.bw)
RX_PK["rxpk"][0]["rssi"] = rssi
RX_PK["rxpk"][0]["lsnr"] = snr
RX_PK["rxpk"][0]["data"] = ldata
RX_PK["rxpk"][0]["size"] = datalen
#packet = self._make_node_packet(rx_data, tdata, 0, self.sf, self.bw, rssi, snr)
packet=json.dumps(RX_PK)
self._push_data(packet)
self._log('Cloud%s: Received packet: {}' % netserv, packet)
def _push_data(self, data):
token = os.urandom(2)
packet = bytearray([PROTOCOL_VERSION]) + token + bytearray([PUSH_DATA]) + binascii.unhexlify(self.id) + data
#print ''.join('{:02x}'.format(x) for x in packet)
#self._log('Cloud%s: Try to forward packet: {}' % netserv, packet)
try:
self.sock.sendto(packet, self.server_ip)
self.sock.close()
except Exception as ex:
self._log('Cloud%s: Failed to push uplink packet to server: {}' % netserv, ex)
def _log(self, message, *args):
print('{}'.format(str(message).format(*args)))
# Testing with pau_lorawan_testing/Pau_testing_device 0x26011721
#
# python CloudTTN.py "QCEXASYAAAABhCGE1L87NCDMk0jLa6hYXm0e+g==" "256,64,637605665,0,28,8,-45" "125,5,12,868100" "2019-03-25T18:46:00.528+01:00" "0000B827EBD1B236"
# or
# python CloudTTN.py "QCEXASYAAAABhCGE1L87NCDMk0jLa6hYXm0e+g==" "256,64,637605665,0,28,8,-45" "125,5,12,868100" "`date +%FT%T%z`" "0000B827EBD1B236"
#
# get the base64 encrypted data from `Arduino_LoRa_temp` sending "Hello from UPPA"
#
# Hello from UPPA
# plain payload hex
# 48 65 6C 6C 6F 20 66 72 6F 6D 20 55 50 50 41
# Encrypting
# encrypted payload
# 84 21 84 D4 BF 3B 34 20 CC 93 48 CB 6B A8 58
# calculate MIC with NwkSKey
# transmitted LoRaWAN-like packet:
# MHDR[1] | DevAddr[4] | FCtrl[1] | FCnt[2] | FPort[1] | EncryptedPayload | MIC[4]
# 40 21 17 01 26 00 00 00 01 84 21 84 D4 BF 3B 34 20 CC 93 48 CB 6B A8 58 5E 6D 1E FA
# [base64 LoRaWAN HEADER+CIPHER+MIC]:QCEXASYAAAABhCGE1L87NCDMk0jLa6hYXm0e+g==
def main(ldata, pdata, rdata, tdata, gwid):
# this is common code to process packet information provided by the main gateway script (i.e. post_processing_gw.py)
# these information are provided in case you need them
arr = map(int,pdata.split(','))
dst=arr[0]
ptype=arr[1]
src=arr[2]
seq=arr[3]
datalen=arr[4]
SNR=arr[5]
RSSI=arr[6]
#if lora packet is received with an SX1301 concentrator, then the packet-formatter will pass the tmst field after the date information, separated by '*'
#i.e. "2019-03-25T18:46:00.528+01:00*29641444"
tmst=tdata.count('*')
if (tmst != 0):
tdata_tmp=tdata.split('*')[0]
tmst=tdata.split('*')[1]
tdata=tdata_tmp
else:
tmst=''
#from 2019-05-14T14:53:10.241191+02:00 (similar to command date +%FT%T.%6N%z)
#to 2019-05-14T14:53:10.241191Z (similar to command date +%FT%T.%6NZ)
dt = parser.parse(tdata)
#in case you want to remove microsecond
#tdata = dt.replace(microsecond=0,tzinfo=None).isoformat()+"Z"
tdata = dt.replace(tzinfo=None).isoformat()+"Z"
arr = map(int,rdata.split(','))
rbw=arr[0]
rcr=arr[1]
rsf=arr[2]
rfq=arr[3]/1000.0
#LoRaWAN packet
if dst==256:
src_str="0x%0.8X" % src
#we force to BW125 as TTN is can not handle other bandwidth right now, for instance those of Lora 2.4GHz
#TODO: change when TTN will support LoRa 2.4GHz
rbw=125
else:
src_str=str(src)
if (src_str in key_LoRaWAN.source_list) or (len(key_LoRaWAN.source_list)==0):
#build the ttn_gwid which is defined to be gwid[4:10]+"FFFF"+gwid[10:]
#gwid is normally defined as eth0 MAC address filled by 0 in front: 0000B827EBD1B236
ttn_gwid=gwid[4:10]+"FFFF"+gwid[10:]
ttn = LoRaWAN(
id=ttn_gwid,
frequency=rfq,
bw=rbw,
sf=rsf,
server=key_LoRaWAN.lorawan_server,
port=key_LoRaWAN.lorawan_port)
ttn.start()
ttn.rx_packet(ldata, datalen, tdata, tmst, RSSI, SNR)
else:
print "Source is not is source list, not sending to %s" % netserv
if __name__ == "__main__":
main(sys.argv[1], sys.argv[2], sys.argv[3], sys.argv[4], sys.argv[5])
| 31.410569 | 162 | 0.640611 | 1,171 | 7,727 | 4.133219 | 0.347566 | 0.022727 | 0.016529 | 0.016736 | 0.171281 | 0.118595 | 0.073141 | 0.073141 | 0.06405 | 0.06405 | 0 | 0.070015 | 0.208878 | 7,727 | 245 | 163 | 31.538776 | 0.721741 | 0.42125 | 0 | 0.101351 | 0 | 0 | 0.103104 | 0.006118 | 0 | 0 | 0 | 0.004082 | 0 | 0 | null | null | 0 | 0.067568 | null | null | 0.013514 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
83a940e2ed8e27f8008df09f81164f38241b0cc0 | 303 | bzl | Python | examples/index.bzl | SebastianPodgajny/rules_nodejs | 7d1fbd9b6751225f502eccf2a91d1059371d461d | [
"Apache-2.0"
] | null | null | null | examples/index.bzl | SebastianPodgajny/rules_nodejs | 7d1fbd9b6751225f502eccf2a91d1059371d461d | [
"Apache-2.0"
] | null | null | null | examples/index.bzl | SebastianPodgajny/rules_nodejs | 7d1fbd9b6751225f502eccf2a91d1059371d461d | [
"Apache-2.0"
] | null | null | null | "Used to reference the nested workspaces for examples in /WORKSPACE"
ALL_EXAMPLES = [
"angular",
"app",
"kotlin",
"nestjs",
"parcel",
"protocol_buffers",
"user_managed_deps",
"vendored_node",
"vendored_node_and_yarn",
"web_testing",
"webapp",
"worker",
]
| 18.9375 | 68 | 0.617162 | 32 | 303 | 5.5625 | 0.90625 | 0.134831 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.244224 | 303 | 15 | 69 | 20.2 | 0.777293 | 0.217822 | 0 | 0 | 0 | 0 | 0.610561 | 0.072607 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
83a97810070d0ec137e7706e16cb2e0d4e501275 | 2,611 | py | Python | testproject/testproject/views.py | Najiva/django-tables2-column-shifter | 90695d5890c4ef6d7ba58a189a53d712aa8b9e14 | [
"BSD-3-Clause"
] | 19 | 2017-01-04T19:17:57.000Z | 2021-08-05T20:06:32.000Z | testproject/testproject/views.py | Najiva/django-tables2-column-shifter | 90695d5890c4ef6d7ba58a189a53d712aa8b9e14 | [
"BSD-3-Clause"
] | 16 | 2017-02-20T20:24:01.000Z | 2021-07-23T12:50:35.000Z | testproject/testproject/views.py | Najiva/django-tables2-column-shifter | 90695d5890c4ef6d7ba58a189a53d712aa8b9e14 | [
"BSD-3-Clause"
] | 8 | 2017-01-26T07:15:54.000Z | 2022-03-22T18:03:24.000Z | from django.views.generic import TemplateView
from django_tables2.config import RequestConfig
from django_tables2_column_shifter.tables import (
ColumnShiftTableBootstrap2,
ColumnShiftTableBootstrap3,
ColumnShiftTableBootstrap4,
ColumnShiftTableBootstrap5,
)
from .models import Author, Book
from .tables import get_author_table_class, get_book_table_class
class Index(TemplateView):
template_name = "testproject/index.html"
class Base(object):
container_css = "span10 offset1"
template_name = "testproject/test_bootstrap2.html"
table_class_version = ColumnShiftTableBootstrap2
def get_context_data(self, **kwargs):
context = super(Base, self).get_context_data(**kwargs)
# Build tabels
author_queryset = Author.objects.all()
author_table1 = get_author_table_class(
self.table_class_version
)(author_queryset)
author_table2 = get_author_table_class(
self.table_class_version
)(author_queryset, prefix="authors2")
book_queryset = Book.objects.all()
book_table = get_book_table_class(
self.table_class_version
)(book_queryset, prefix="books")
# Turn on sorting and pagination
RequestConfig(self.request, paginate={'per_page': 2}).configure(author_table1)
RequestConfig(self.request, paginate={'per_page': 2}).configure(author_table2)
RequestConfig(self.request, paginate={'per_page': 2}).configure(book_table)
context['container_css'] = self.container_css
context['author_table1'] = author_table1
context['author_table2'] = author_table2
context['book_table'] = book_table
context['book_queryset'] = book_queryset
return context
class Bootstrap2(Base, TemplateView):
pass
class Bootstrap3(Base, TemplateView):
container_css = "col-xs-10 col-xs-offset-1"
template_name = "testproject/test_bootstrap3.html"
table_class_version = ColumnShiftTableBootstrap3
class Bootstrap4(Base, TemplateView):
container_css = "col-xs-10 col-xs-offset-1"
template_name = "testproject/test_bootstrap4.html"
table_class_version = ColumnShiftTableBootstrap4
class Bootstrap4_1_3(Base, TemplateView):
container_css = "col-xs-10 col-xs-offset-1"
template_name = "testproject/test_bootstrap4.1.3.html"
table_class_version = ColumnShiftTableBootstrap4
class Bootstrap5(Base, TemplateView):
container_css = "col-xs-10 col-xs-offset-1"
template_name = "testproject/test_bootstrap5.html"
table_class_version = ColumnShiftTableBootstrap5
| 32.234568 | 86 | 0.73152 | 294 | 2,611 | 6.221088 | 0.251701 | 0.071077 | 0.074358 | 0.073811 | 0.392564 | 0.392564 | 0.318753 | 0.318753 | 0.291963 | 0.231821 | 0 | 0.024299 | 0.180391 | 2,611 | 80 | 87 | 32.6375 | 0.830374 | 0.016469 | 0 | 0.160714 | 0 | 0 | 0.155556 | 0.072515 | 0 | 0 | 0 | 0 | 0 | 1 | 0.017857 | false | 0.017857 | 0.089286 | 0 | 0.535714 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
83babd001889716c3b9b2382b50058698f6c9529 | 4,701 | py | Python | resources.py | kordimsan/FreeWorker-Api | f4566d2d500328725c88d5fc5df7a4763cb4c185 | [
"MIT"
] | null | null | null | resources.py | kordimsan/FreeWorker-Api | f4566d2d500328725c88d5fc5df7a4763cb4c185 | [
"MIT"
] | null | null | null | resources.py | kordimsan/FreeWorker-Api | f4566d2d500328725c88d5fc5df7a4763cb4c185 | [
"MIT"
] | null | null | null | #from flask_restful import Resource, reqparse
from flask_restplus import Resource, reqparse,fields
from models import UserModel, RevokedTokenModel
from flask_jwt_extended import (create_access_token, create_refresh_token, jwt_required, jwt_refresh_token_required, get_jwt_identity, get_raw_jwt)
from run import api
parser = reqparse.RequestParser()
parser.add_argument('username', help = 'This field cannot be blank', required = True)
parser.add_argument('password', help = 'This field cannot be blank', required = True)
param = api.model('User registration', {'username' : fields.String('username'), 'password' : fields.String('password')})
class UserRegistration(Resource):
@api.expect(param)
def post(self):
data = parser.parse_args()
if UserModel.find_by_username(data['username']):
return {'message': 'User {} already exists'.format(data['username'])}
new_user = UserModel(
username = data['username'],
password = UserModel.generate_hash(data['password'])
)
try:
new_user.save_to_db()
access_token = create_access_token(identity = data['username'])
refresh_token= create_refresh_token(identity = data['username'])
return {
'message': 'User {} was created'.format(data['username']),
'access_token': access_token,
'refresh_token': refresh_token
}
except:
return {'message': 'Something went wrong'}, 500
param = api.model('User login', {'username' : fields.String('username'), 'password' : fields.String('password')})
class UserLogin(Resource):
@api.expect(param)
def post(self):
data = parser.parse_args()
current_user = UserModel.find_by_username(data['username'])
if not current_user:
return {'message': 'User {} doesn\'t exist'.format(data['username'])}
if UserModel.verify_hash(data['password'], current_user.password):
access_token = create_access_token(identity = data['username'])
refresh_token = create_refresh_token(identity = data['username'])
return {
'message': 'Logged in as {}'.format(current_user.username),
'access_token': access_token,
'refresh_token': refresh_token
}
else:
return {'message': 'Wrong credentials'}
class UserLogoutAccess(Resource):
@api.doc(security='apikey')
@jwt_required
def post(self):
jti = get_raw_jwt()['jti']
try:
revoked_token = RevokedTokenModel(jti = jti)
revoked_token.add()
return {'message': 'Access token has been revoked'}
except:
return {'message': 'Something went wrong'}, 500
class UserLogoutRefresh(Resource):
@jwt_refresh_token_required
def post(self):
jti = get_raw_jwt()['jti']
try:
revoked_token = RevokedTokenModel(jti = jti)
revoked_token.add()
return {'message': 'Refresh token has been revoked'}
except:
return {'message': 'Something went wrong'}, 500
class TokenRefresh(Resource):
@jwt_refresh_token_required
def post(self):
current_user = get_jwt_identity()
access_token = create_access_token(identity = current_user)
return {'access_token': access_token}
class AllUsers(Resource):
@api.doc(security='apikey')
@jwt_required
def get(self):
return UserModel.return_all()
@api.doc(security='apikey')
@jwt_required
def delete(self):
return UserModel.delete_all()
class UsersByName(Resource):
@api.doc(security='apikey')
@jwt_required
def get(self,username):
x = UserModel.find_by_username(username)
if not x:
return {'message': 'User {} doesn\'t exist'.format(username)}
return {
'user_id': x.user_id,
'username': x.username,
'password': x.password,
'email': x.email,
'admin': x.admin,
'first_name': x.first_name,
'last_name': x.last_name,
'phone_number': x.phone_number,
'latitude': x.latitude,
'longitude': x.longitude,
'area': x.area,
}
@api.doc(security='apikey')
@jwt_required
def delete(self,username):
return UserModel.del_by_username(username)
class SecretResource(Resource):
@api.doc(security='apikey')
@jwt_required
def get(self):
return {
'answer': 42
}
| 34.313869 | 147 | 0.605829 | 502 | 4,701 | 5.48008 | 0.229084 | 0.05598 | 0.030534 | 0.043621 | 0.559069 | 0.551436 | 0.512904 | 0.473646 | 0.411123 | 0.295529 | 0 | 0.003235 | 0.27675 | 4,701 | 137 | 148 | 34.313869 | 0.805882 | 0.00936 | 0 | 0.45614 | 0 | 0 | 0.161477 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.087719 | false | 0.052632 | 0.035088 | 0.035088 | 0.342105 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
83bdd2c382d1213ade5ce2c23b12fd693e9a4c32 | 700 | py | Python | example.py | six-two/py_derive_cmd | ae821f16a057a809166b287ab9f203a8cf4b34b3 | [
"MIT"
] | null | null | null | example.py | six-two/py_derive_cmd | ae821f16a057a809166b287ab9f203a8cf4b34b3 | [
"MIT"
] | null | null | null | example.py | six-two/py_derive_cmd | ae821f16a057a809166b287ab9f203a8cf4b34b3 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# pylint: disable=unused-wildcard-import
from py_derive_cmd import *
import cmd
class MyCmd(cmd.Cmd):
pass
s = Settings(MyCmd, print_warnings=False)
@make_command(s, 'Test for the decorator', aliases=['d'])
def test_decorator(shell: MyCmd, req_arg: str, opt_arg: str = None):
print('Decorator works')
print(req_arg)
print(opt_arg)
def test_register(shell: MyCmd, raw_arg: str):
print('Register works')
print(raw_arg)
@make_command(s, 'Exit the shell by pressing Ctrl-D')
def EOF(shell: MyCmd) -> bool:
return True
CommandInfo(s, test_register, ['registered', 'r'], 'Test for register', raw_arg=True).register()
shell = MyCmd()
shell.cmdloop() | 25 | 96 | 0.708571 | 105 | 700 | 4.580952 | 0.485714 | 0.08316 | 0.049896 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001681 | 0.15 | 700 | 28 | 97 | 25 | 0.806723 | 0.085714 | 0 | 0 | 0 | 0 | 0.176839 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.157895 | false | 0.052632 | 0.105263 | 0.052632 | 0.368421 | 0.315789 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
83be1a3a3ee334b7ce8506d005b0c751dcb0f57c | 2,474 | py | Python | tf_quant_finance/datetime/constants.py | slowy07/tf-quant-finance | 0976f720fb58a2d7bfd863640c12a2425cd2f94f | [
"Apache-2.0"
] | 3,138 | 2019-07-24T21:43:17.000Z | 2022-03-30T12:11:09.000Z | tf_quant_finance/datetime/constants.py | Aarif1430/tf-quant-finance | 9372eb1ddf2b48cb1a3d4283bc67a10647ddc7a6 | [
"Apache-2.0"
] | 63 | 2019-09-07T19:16:03.000Z | 2022-03-29T19:29:40.000Z | tf_quant_finance/datetime/constants.py | Aarif1430/tf-quant-finance | 9372eb1ddf2b48cb1a3d4283bc67a10647ddc7a6 | [
"Apache-2.0"
] | 423 | 2019-07-26T21:28:05.000Z | 2022-03-26T13:07:44.000Z | # Lint as: python3
# Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Date-related constants and enums."""
import enum
class Month(enum.Enum):
"""Months. Values are one-based."""
JANUARY = 1
FEBUARY = 2
MARCH = 3
APRIL = 4
MAY = 5
JUNE = 6
JULY = 7
AUGUST = 8
SEPTEMBER = 9
OCTOBER = 10
NOVEMBER = 11
DECEMBER = 12
class WeekDay(enum.Enum):
"""Named days of the week. Values are zero-based with Monday = 0."""
# We follow Python datetime convention of starting from 0.
MONDAY = 0
TUESDAY = 1
WEDNESDAY = 2
THURSDAY = 3
FRIDAY = 4
SATURDAY = 5
SUNDAY = 6
class PeriodType(enum.Enum):
"""Periods that can be added or subtracted from DateTensors."""
DAY = 0
WEEK = 1
MONTH = 2
YEAR = 3
class BusinessDayConvention(enum.Enum):
"""Conventions that determine how to roll dates that fall on holidays.
* `NONE`: No adjustment
* `FOLLOWING`: Choose the first business day after the given holiday.
* `MODIFIED_FOLLOWING`: Choose the first business day after the given holiday
unless that day falls in the next calendar month, in which case choose the
first business day before the holiday.
* `PRECEDING`: Choose the first business day before the given holiday.
* `MODIFIED_PRECEDING`: Choose the first business day before the given holiday
unless that day falls in the previous calendar month, in which case choose the
first business day after the holiday.
"""
NONE = 0
FOLLOWING = 1
MODIFIED_FOLLOWING = 2
PRECEDING = 3
MODIFIED_PRECEDING = 4
# TODO(b/148011715): add NEAREST convention.
class WeekendMask(object):
"""Provides weekend masks for some of the common weekend patterns."""
# E.g. US/UK/Europe etc.
SATURDAY_SUNDAY = (0, 0, 0, 0, 0, 1, 1)
# E.g. Most countries in the Middle East.
FRIDAY_SATURDAY = (0, 0, 0, 0, 1, 1, 0)
# E.g. India, Nepal.
SUNDAY_ONLY = (0, 0, 0, 0, 0, 0, 1)
# Default value.
NONE = (0, 0, 0, 0, 0, 0, 0)
| 26.891304 | 80 | 0.696847 | 379 | 2,474 | 4.530343 | 0.485488 | 0.020967 | 0.024461 | 0.023296 | 0.236459 | 0.236459 | 0.220734 | 0.210833 | 0.210833 | 0.184042 | 0 | 0.040617 | 0.213824 | 2,474 | 91 | 81 | 27.186813 | 0.842159 | 0.660469 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010989 | 0 | 1 | 0 | false | 0 | 0.026316 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
83c1d004633b6b337c6d2bc2c9a3fefc61d57d42 | 789 | py | Python | setup.py | nakagami/pure-pyawabi | 5ffafcaa381727af7f84013cf036a4e8f7dd51da | [
"MIT"
] | 1 | 2021-12-13T11:29:04.000Z | 2021-12-13T11:29:04.000Z | setup.py | nakagami/pure-pyawabi | 5ffafcaa381727af7f84013cf036a4e8f7dd51da | [
"MIT"
] | null | null | null | setup.py | nakagami/pure-pyawabi | 5ffafcaa381727af7f84013cf036a4e8f7dd51da | [
"MIT"
] | null | null | null | from setuptools import setup
setup(
name="pure-pyawabi",
version="0.2.4",
description='A morphological analyzer awabi clone',
long_description=open('README.md', encoding='utf-8').read(),
long_description_content_type="text/markdown",
url='https://github.com/nakagami/pure-pyawabi/',
classifiers=[
"License :: OSI Approved :: MIT License",
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"Programming Language :: Python",
"Programming Language :: Python :: 3.8",
"Operating System :: POSIX",
],
keywords=['MeCab'],
license="MIT",
author='Hajime Nakagami',
author_email='nakagami@gmail.com',
test_suite="tests",
packages=['pyawabi'],
scripts=['bin/pyawabi'],
)
| 30.346154 | 64 | 0.628644 | 84 | 789 | 5.833333 | 0.761905 | 0.044898 | 0.102041 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011254 | 0.21166 | 789 | 25 | 65 | 31.56 | 0.776527 | 0 | 0 | 0 | 0 | 0 | 0.476553 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.041667 | 0 | 0.041667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
83c369bbe9d3c23a66d5fe993029ea43352f5559 | 676 | py | Python | exopy_qm/tasks/tasks/GetIOValuesTask.py | rassouly/exopy_qm | 82eb7e4b4fc7364df3462bb7faa7a0880d699afc | [
"BSD-3-Clause"
] | null | null | null | exopy_qm/tasks/tasks/GetIOValuesTask.py | rassouly/exopy_qm | 82eb7e4b4fc7364df3462bb7faa7a0880d699afc | [
"BSD-3-Clause"
] | null | null | null | exopy_qm/tasks/tasks/GetIOValuesTask.py | rassouly/exopy_qm | 82eb7e4b4fc7364df3462bb7faa7a0880d699afc | [
"BSD-3-Clause"
] | null | null | null | from exopy.tasks.api import (InstrumentTask)
from atom.api import Unicode, Bool, set_default
import sys
from exopy_qm.utils.dynamic_importer import *
class GetIOValuesTask(InstrumentTask):
""" Gets the IO values
"""
get_io_1 = Bool(True).tag(pref=True)
get_io_2 = Bool(True).tag(pref=True)
database_entries = set_default({'IO1': {}, 'IO2': {}})
def __init__(self, **kwargs):
super().__init__(**kwargs)
def perform(self):
io_values = self.driver.get_io_values()
if self.get_io_1:
self.write_in_database('IO1', io_values[0])
if self.get_io_2:
self.write_in_database('IO2', io_values[0])
| 26 | 58 | 0.653846 | 95 | 676 | 4.336842 | 0.452632 | 0.097087 | 0.029126 | 0.072816 | 0.092233 | 0 | 0 | 0 | 0 | 0 | 0 | 0.018797 | 0.213018 | 676 | 25 | 59 | 27.04 | 0.755639 | 0.026627 | 0 | 0 | 0 | 0 | 0.018576 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.25 | 0 | 0.625 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
83c3ff2e3e7205ac40f986b841cd8fa73336b765 | 1,158 | py | Python | src/mem/ruby/network/garnet/fixed-pipeline/GarnetRouter_PNET_Container_d.py | pnkfb9/gem5_priority | fbf766277df78a470758cf7d798d12fb1e7c51c4 | [
"BSD-3-Clause"
] | null | null | null | src/mem/ruby/network/garnet/fixed-pipeline/GarnetRouter_PNET_Container_d.py | pnkfb9/gem5_priority | fbf766277df78a470758cf7d798d12fb1e7c51c4 | [
"BSD-3-Clause"
] | null | null | null | src/mem/ruby/network/garnet/fixed-pipeline/GarnetRouter_PNET_Container_d.py | pnkfb9/gem5_priority | fbf766277df78a470758cf7d798d12fb1e7c51c4 | [
"BSD-3-Clause"
] | null | null | null | # Authors: Davide Zoni
from m5.params import *
from m5.proxy import *
from BasicRouter import BasicRouter
class GarnetRouter_PNET_Container_d(BasicRouter):
type = 'GarnetRouter_PNET_Container_d'
cxx_class = 'Router_PNET_Container_d'
cxx_header = "mem/ruby/network/garnet/fixed-pipeline/Router_PNET_Container_d.hh"
vcs_per_vnet = Param.Int(Parent.vcs_per_vnet,
"virtual channels per virtual network")
virt_nets = Param.Int(Parent.number_of_virtual_networks,
"number of virtual networks")
virt_nets_spurious = Param.Int(Parent.number_of_virtual_networks_spurious,
"number of virtual networks spurious to be used with VNET_REUSE")
# param moved to garnet network to be distributed to both routers and NICs
totVicharSlotPerVnet = Param.UInt8(Parent.totVicharSlotPerVnet, "VICHAR slots per vnet in the input buffer");
numFifoResynchSlots=Param.UInt8(Parent.numFifoResynchSlots,"Number of slots in the FIFO resynchronizer, when used");
router_frequency = Param.Counter(Parent.router_frequency, "initial router frequency for each router");
| 52.636364 | 120 | 0.740069 | 147 | 1,158 | 5.619048 | 0.455782 | 0.048426 | 0.067797 | 0.11138 | 0.136804 | 0.089588 | 0.089588 | 0 | 0 | 0 | 0 | 0.004278 | 0.192573 | 1,158 | 21 | 121 | 55.142857 | 0.879144 | 0.080311 | 0 | 0 | 0 | 0 | 0.353107 | 0.110169 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.1875 | 0 | 0.8125 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
83c6045e3e675c58b5fec8fdf9881ebf94e9feda | 334 | py | Python | condition/models.py | SamusChief/myth-caster-api | 76a43f48b70c6a4b509c90757d7906689799cc25 | [
"MIT"
] | null | null | null | condition/models.py | SamusChief/myth-caster-api | 76a43f48b70c6a4b509c90757d7906689799cc25 | [
"MIT"
] | null | null | null | condition/models.py | SamusChief/myth-caster-api | 76a43f48b70c6a4b509c90757d7906689799cc25 | [
"MIT"
] | 1 | 2021-08-14T18:46:52.000Z | 2021-08-14T18:46:52.000Z | """ Models for Conditions app """
from django.db import models
from common.models import OwnedModel
class Condition(OwnedModel):
""" Condition model """
name = models.CharField(unique=True, max_length=255, db_index=True)
description = models.TextField()
def __str__(self):
return f'Condition: {self.name}'
| 23.857143 | 71 | 0.700599 | 41 | 334 | 5.560976 | 0.682927 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010989 | 0.182635 | 334 | 13 | 72 | 25.692308 | 0.824176 | 0.125749 | 0 | 0 | 0 | 0 | 0.079137 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.285714 | 0.142857 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
83cfac902258a852b3126b17d68f53a3484fe5c0 | 1,757 | py | Python | code_examples/Python/app_debugger/test_client/test_debugger.py | VPoser/docs-and-training | 55d4aa4c5b964f3c810d58008db4c5b75260322b | [
"Zlib"
] | null | null | null | code_examples/Python/app_debugger/test_client/test_debugger.py | VPoser/docs-and-training | 55d4aa4c5b964f3c810d58008db4c5b75260322b | [
"Zlib"
] | 4 | 2019-05-29T06:16:56.000Z | 2021-03-31T19:03:36.000Z | code_examples/Python/app_debugger/test_client/test_debugger.py | VPoser/docs-and-training | 55d4aa4c5b964f3c810d58008db4c5b75260322b | [
"Zlib"
] | 3 | 2019-04-02T08:48:31.000Z | 2020-09-23T08:13:35.000Z | #!/usr/bin/env python
"""Simple test client to call the debugger SOAP service"""
import os
import sys
import base64
import getpass
from suds.client import Client
from suds.cache import NoCache
from suds import WebFault, MethodNotFound
from clfpy import AuthClient
auth_endpoint = 'https://api.hetcomp.org/authManager/AuthManager?wsdl'
extra_pars = "auth={},WFM=dummy,".format(auth_endpoint)
def soap_call(wsdl_url, methodname, method_args):
"""Calls a SOAP webmethod at a given URL with given arguments."""
client = Client(wsdl_url, cache=NoCache())
try:
method = getattr(client.service, methodname)
except MethodNotFound as error:
return(error)
try:
response = method(*method_args)
except WebFault as error:
return(error)
return response
def main():
port = 80
try:
context_root = os.environ["CONTEXT_ROOT"]
except KeyError:
print("Error: environment variable CONTEXT_ROOT not set.")
exit(1)
url = "http://localhost:{}{}/Debugger?wsdl".format(port, context_root)
print("wsdl URL is {}".format(url))
print("Obtaining session token")
user = input("Enter username: ")
project = input("Enter project: ")
password = getpass.getpass(prompt="Enter password: ")
auth = AuthClient(auth_endpoint)
token = auth.get_session_token(user, project, password)
print("Calling parameterDebugger()")
response = soap_call(url, "parameterDebugger", ["serviceID1", token, extra_pars, "Some input", "Label1", "Second input", "Label2"])
html = base64.b64decode(response).decode()
with open("test.html", 'w') as fout:
fout.write(html)
print("Result written to test.html")
if __name__ == "__main__":
main()
| 27.030769 | 135 | 0.682413 | 218 | 1,757 | 5.385321 | 0.477064 | 0.037479 | 0.037479 | 0.030664 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008493 | 0.195788 | 1,757 | 64 | 136 | 27.453125 | 0.822364 | 0.075697 | 0 | 0.113636 | 0 | 0 | 0.237446 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045455 | false | 0.068182 | 0.181818 | 0 | 0.25 | 0.113636 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
83d10767f4acd2d7c3295abb41942f7d2223b741 | 6,295 | py | Python | data_manager/acs/gui_ACS_sched_blocks_script_0.py | IftachSadeh/ctaOperatorGUI | f6365a86440dd2404da0bc139cd9345eb3dcb566 | [
"MIT"
] | 3 | 2018-08-28T22:44:23.000Z | 2018-10-24T09:16:34.000Z | data_manager/acs/gui_ACS_sched_blocks_script_0.py | IftachSadeh/ctaOperatorGUI | f6365a86440dd2404da0bc139cd9345eb3dcb566 | [
"MIT"
] | 28 | 2020-04-02T14:48:29.000Z | 2021-05-27T08:10:36.000Z | data_manager/acs/gui_ACS_sched_blocks_script_0.py | IftachSadeh/ctaOperatorGUI | f6365a86440dd2404da0bc139cd9345eb3dcb566 | [
"MIT"
] | null | null | null | # import tcs
# import daqctrl, inspect
# ------------------------------------------------------------------
# install the script by:
# cd $INTROOT/config/scripts
# ln -s $guiInstalDir/ctaOperatorGUI/ctaGuiBack/ctaGuiBack/acs/guiACS_schedBlocks_script0.py
# ------------------------------------------------------------------
# ------------------------------------------------------------------
from random import Random
rndGen = Random(10987268332)
waitTime = dict()
waitTime['config_daq'] = rndGen.randint(1, 3)
waitTime['config_camera'] = rndGen.randint(1, 5)
waitTime['config_mount'] = rndGen.randint(2, 7)
waitTime['finish_daq'] = rndGen.randint(1, 6)
waitTime['finish_camera'] = rndGen.randint(1, 3)
waitTime['finish_mount'] = rndGen.randint(1, 2)
def get_short_wait(duration, wait_type):
return waitTime[wait_type] if duration > 1 else 1
# ------------------------------------------------------------------
#
# ------------------------------------------------------------------
__phases__ = [
"configuring",
"config_daq",
"config_camera",
"config_mount",
"take_data",
"closing",
"finish_daq",
"finish_camera",
"finish_mount",
]
# ------------------------------------------------------------------
#
# ------------------------------------------------------------------
def configuring():
coords = observationBlock.src.coords
p = None
try:
p = (coords.equatorial.ra, coords.equatorial.dec)
except:
pass
if not p:
try:
p = (coords.horizontal.alt, coords.horizontal.az)
except:
pass
if not p:
try:
p = (coords.galactic.lon, coords.galactic.lat)
except:
pass
if not p:
p = (0, 0)
print "Coordinates used: (" + str(p[0]) + ", " + str(p[1]) + ")"
try:
divergence = schedulingBlock.config.instrument.pointing_mode.divergent_.divergence
print "Divergence used: " + str(divergence)
except:
print "Pointing mode is not divergent"
pass
# resources.target = tcs.SkyEquatorialTarget(
# p[0], p[1], tcs.ICRS, tcs.J2000, 0.0, 0.0, 0.0, 0.0
# )
allowPhaseStart("config_daq")
allowPhaseStart("config_camera")
allowPhaseStart("config_mount")
return
# ------------------------------------------------------------------
def config_daq():
updatePhase("config_daq", "config_daq has began ...", 0)
allowPhaseStart("config_camera")
allowPhaseStart("config_mount")
# operationStatus = daq().operationStatus
# # Check daq operational status
# if operationStatus != daqctrl.NOMINAL and operationStatus != daqctrl.IDLE:
# raise RuntimeError('DAQ status not idle/nominal: ' + operationStatus)
# # Configure daq
# daqConfigured = configureDAQ()
# if not daqConfigured:
# raise RuntimeError('DAQ configuration failed')
# add wiating time since waitToFinish is useless ............
# telescopes.waitToFinish()
wait(get_short_wait(blockDuration, 'config_daq'))
updatePhase("config_daq", "config_daq has ended...", 100)
return
# ------------------------------------------------------------------
def config_camera():
updatePhase("config_camera", "config_camera has began ...", 0)
allowPhaseStart("config_mount")
# cameraConfig = schedulingBlock.config.camera_configuration
# telescopes.configureCameras(cameraConfig)
# add wiating time since waitToFinish is useless ............
# telescopes.waitToFinish()
wait(get_short_wait(blockDuration, 'config_camera'))
updatePhase("config_camera", "config_camera has ended...", 100)
return
# ------------------------------------------------------------------
def config_mount():
updatePhase("config_mount", "config_mount has began ...", 0)
# telescopes.startSlewing(resources.target)
# add wiating time since waitToFinish is useless ............
# telescopes.waitToFinish()
wait(get_short_wait(blockDuration, 'config_mount'))
updatePhase("config_mount", "config_mount has ended...", 100)
return
# ------------------------------------------------------------------
def take_data():
updatePhase("take_data", "take_data has began ...", 0)
# daq().moveToNextOutputBlock(daqctrl.ZFITS_ZLIB)
# resources.trackingDuration = blockDuration
# telescopes.startTracking(resources.trackingDuration,resources.target)
# telescopes.startDataTaking()
# add wiating time since waitToFinish is useless ............
# telescopes.waitToFinish()
wait(blockDuration)
# telescopes.stopDataTaking()
updatePhase("take_data", "take_data has ended...", 100)
return
# ------------------------------------------------------------------
def closing():
allowPhaseStart("finish_daq")
allowPhaseStart("finish_camera")
allowPhaseStart("finish_mount")
return
# ------------------------------------------------------------------
def finish_daq():
updatePhase("finish_daq", "finish_daq has began ...", 0)
allowPhaseStart("finish_camera")
allowPhaseStart("finish_mount")
# add wiating time since waitToFinish is useless ............
# telescopes.waitToFinish()
wait(get_short_wait(blockDuration, 'finish_daq'))
updatePhase("finish_daq", "finish_daq has ended...", 100)
return
# ------------------------------------------------------------------
def finish_camera():
updatePhase("finish_camera", "finish_camera has began ...", 0)
allowPhaseStart("finish_mount")
# add wiating time since waitToFinish is useless ............
# telescopes.waitToFinish()
wait(get_short_wait(blockDuration, 'finish_camera'))
updatePhase("finish_camera", "finish_camera has ended...", 100)
return
# ------------------------------------------------------------------
def finish_mount():
updatePhase("finish_mount", "finish_mount has began ...", 0)
# add wiating time since waitToFinish is useless ............
# telescopes.waitToFinish()
wait(get_short_wait(blockDuration, 'finish_mount'))
updatePhase("finish_mount", "finish_mount has ended...", 100)
return
# ------------------------------------------------------------------
def cleanUp():
pass
| 28.2287 | 94 | 0.550278 | 564 | 6,295 | 5.978723 | 0.225177 | 0.039146 | 0.024911 | 0.039442 | 0.518387 | 0.481613 | 0.37841 | 0.376038 | 0.207592 | 0.207592 | 0 | 0.013777 | 0.169817 | 6,295 | 222 | 95 | 28.355856 | 0.631458 | 0.420969 | 0 | 0.35 | 0 | 0 | 0.266313 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.05 | 0.01 | null | null | 0.03 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
83d13060a3394fdf762b857adb260865c20a7f38 | 143 | py | Python | AtC_Beg_Con_081-090/ABC089/B.py | yosho-18/AtCoder | 50f6d5c92a01792552c31ac912ce1cd557b06fb0 | [
"MIT"
] | null | null | null | AtC_Beg_Con_081-090/ABC089/B.py | yosho-18/AtCoder | 50f6d5c92a01792552c31ac912ce1cd557b06fb0 | [
"MIT"
] | null | null | null | AtC_Beg_Con_081-090/ABC089/B.py | yosho-18/AtCoder | 50f6d5c92a01792552c31ac912ce1cd557b06fb0 | [
"MIT"
] | null | null | null | n = int(input())
a = input().split()
a = [str(m) for m in a]
for i in a:
if i == "Y":
print("Four")
exit()
print("Three") | 14.3 | 23 | 0.461538 | 25 | 143 | 2.64 | 0.64 | 0.090909 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.314685 | 143 | 10 | 24 | 14.3 | 0.673469 | 0 | 0 | 0 | 0 | 0 | 0.069444 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.25 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
83d7033bcfe2791f10a0c9ef5053fa59b2220a75 | 370 | py | Python | phlcensus/acs/percapitaincome.py | PhiladelphiaController/phlcensus | 8e15d7c993e397bec4cb06a2144e134ec96c48a1 | [
"MIT"
] | null | null | null | phlcensus/acs/percapitaincome.py | PhiladelphiaController/phlcensus | 8e15d7c993e397bec4cb06a2144e134ec96c48a1 | [
"MIT"
] | null | null | null | phlcensus/acs/percapitaincome.py | PhiladelphiaController/phlcensus | 8e15d7c993e397bec4cb06a2144e134ec96c48a1 | [
"MIT"
] | null | null | null | from .core import ACSDataset
import collections
__all__ = ["PerCapitaIncome"]
class PerCapitaIncome(ACSDataset):
"""
PER CAPITA INCOME IN THE PAST 12 MONTHS (IN 2018 INFLATION-ADJUSTED DOLLARS)
"""
AGGREGATION = None
UNIVERSE = "total population"
TABLE_NAME = "B19301"
RAW_FIELDS = collections.OrderedDict({"001": "per_capita_income"})
| 23.125 | 81 | 0.705405 | 40 | 370 | 6.325 | 0.8 | 0.071146 | 0.118577 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.047138 | 0.197297 | 370 | 15 | 82 | 24.666667 | 0.804714 | 0.205405 | 0 | 0 | 0 | 0 | 0.206522 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.875 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
83d8ec7a846eebb200f4cc5baae5280d08288d60 | 1,463 | py | Python | viterbi_tagging.py | cryingmiso/Natural-Language-Processing | 471c3e69c65cab90fb7c432d2b632801c87f7c8e | [
"MIT"
] | null | null | null | viterbi_tagging.py | cryingmiso/Natural-Language-Processing | 471c3e69c65cab90fb7c432d2b632801c87f7c8e | [
"MIT"
] | null | null | null | viterbi_tagging.py | cryingmiso/Natural-Language-Processing | 471c3e69c65cab90fb7c432d2b632801c87f7c8e | [
"MIT"
] | 1 | 2018-04-22T11:41:10.000Z | 2018-04-22T11:41:10.000Z | # -*- coding:utf-8 -*-
states = ("B","M","E","S")
test_input = "BBMESBMEBEBESSMEBBME"
observations = [obs for obs in test_input]
#시작확률
start_prob = {"B":0.4,"M":0.2,"E":0.2,"S":0.2}
#전이확률
transit_prob = {"B": {"B": 0.1, "M": 0.4, "E": 0.4, "S": 0.1},
"M": {"B": 0.1, "M": 0.4, "E": 0.4, "S": 0.1},
"E": {"B": 0.4, "M": 0.1, "E": 0.1, "S": 0.4},
"S": {"B": 0.4, "M": 0.1, "E": 0.1, "S": 0.4}}
#출력확률
emission_prob = {'B': {"B": 0.4, "M": 0.2, "E": 0.2, "S": 0.2},
"M": {"B": 0.2, "M": 0.4, "E": 0.2, "S": 0.2},
"E": {"B": 0.2, "M": 0.2, "E": 0.4, "S": 0.2},
"S": {"B": 0.2, "M": 0.2, "E": 0.2, "S": 0.4}}
def viterbi(observs,states,sp,tp,ep):
T = {} # present state
for st in states:
T[st] = (sp[st]*ep[st][observs[0]],[st])
for ob in observs[1:]:
T = next_state(ob,states,T,tp,ep)
prob,labels = max([T[st] for st in T])
return prob,labels
def next_state(ob,states,T,tp,ep):
U = {} # next state
for next_s in states:
U[next_s] = (0,[])
for now_s in states:
p = T[now_s][0] * tp[now_s][next_s] * ep[next_s][ob]
if p>U[next_s][0]:
U[next_s] = [p,T[now_s][1]+[next_s]]
return U
if __name__=="__main__":
print observations
per,last = viterbi(observations,states,
start_prob,transit_prob,emission_prob)
print last
print per | 29.857143 | 64 | 0.455913 | 268 | 1,463 | 2.380597 | 0.186567 | 0.047022 | 0.023511 | 0.025078 | 0.23511 | 0.221003 | 0.211599 | 0.142633 | 0.112853 | 0.112853 | 0 | 0.075816 | 0.287765 | 1,463 | 49 | 65 | 29.857143 | 0.536468 | 0.038961 | 0 | 0 | 0 | 0 | 0.054286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0.085714 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
83dcc185970f786453677691d5a450058ad2e7d1 | 511 | py | Python | book/migrations/0006_alter_book_cover_img.py | KhudadadKhawari/the-library | a6acd2e8ce9ca350339d99775f1e7906d343c7d4 | [
"MIT"
] | null | null | null | book/migrations/0006_alter_book_cover_img.py | KhudadadKhawari/the-library | a6acd2e8ce9ca350339d99775f1e7906d343c7d4 | [
"MIT"
] | null | null | null | book/migrations/0006_alter_book_cover_img.py | KhudadadKhawari/the-library | a6acd2e8ce9ca350339d99775f1e7906d343c7d4 | [
"MIT"
] | null | null | null | # Generated by Django 4.0 on 2021-12-15 09:04
from django.db import migrations, models
import django.utils.timezone
class Migration(migrations.Migration):
dependencies = [
('book', '0005_alter_book_rented_count'),
]
operations = [
migrations.AlterField(
model_name='book',
name='cover_img',
field=models.ImageField(default=django.utils.timezone.now, upload_to='static/media/book/covers'),
preserve_default=False,
),
]
| 24.333333 | 109 | 0.639922 | 58 | 511 | 5.5 | 0.741379 | 0.068966 | 0.119122 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.046875 | 0.248532 | 511 | 20 | 110 | 25.55 | 0.783854 | 0.084149 | 0 | 0 | 1 | 0 | 0.148069 | 0.111588 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.142857 | 0 | 0.357143 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
83df200991f24e112dfb55e0124bf7a8c642cf9c | 7,985 | py | Python | blender/.blender/scripts/uvcalc_follow_active_coords.py | visnz/sketchfab_download | 976f667d5c2c2864b2bad65aceac0dab5ce51b74 | [
"Apache-2.0"
] | 41 | 2021-02-18T05:56:26.000Z | 2021-12-06T07:58:15.000Z | blender/.blender/scripts/uvcalc_follow_active_coords.py | visnz/sketchfab_download | 976f667d5c2c2864b2bad65aceac0dab5ce51b74 | [
"Apache-2.0"
] | 19 | 2021-02-18T05:59:03.000Z | 2022-01-13T01:00:52.000Z | blender/.blender/scripts/uvcalc_follow_active_coords.py | visnz/sketchfab_download | 976f667d5c2c2864b2bad65aceac0dab5ce51b74 | [
"Apache-2.0"
] | 18 | 2021-02-22T13:32:56.000Z | 2022-01-22T12:38:29.000Z | #!BPY
"""
Name: 'Follow Active (quads)'
Blender: 242
Group: 'UVCalculation'
Tooltip: 'Follow from active quads.'
"""
__author__ = "Campbell Barton"
__url__ = ("blender", "blenderartists.org")
__version__ = "1.0 2006/02/07"
__bpydoc__ = """\
This script sets the UV mapping and image of selected faces from adjacent unselected faces.
for full docs see...
http://mediawiki.blender.org/index.php/Scripts/Manual/UV_Calculate/Follow_active_quads
"""
# ***** BEGIN GPL LICENSE BLOCK *****
#
# Script copyright (C) Campbell J Barton
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software Foundation,
# Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
#
# ***** END GPL LICENCE BLOCK *****
# --------------------------------------------------------------------------
from Blender import *
import bpy
import BPyMesh
def extend(EXTEND_MODE,ob):
if EXTEND_MODE == -1:
return
me = ob.getData(mesh=1)
me_verts = me.verts
# Toggle Edit mode
is_editmode = Window.EditMode()
if is_editmode:
Window.EditMode(0)
Window.WaitCursor(1)
t = sys.time()
edge_average_lengths = {}
OTHER_INDEX = 2,3,0,1
FAST_INDICIES = 0,2,1,3 # order is faster
def extend_uvs(face_source, face_target, edge_key):
'''
Takes 2 faces,
Projects its extends its UV coords onto the face next to it.
Both faces must share an edge.
'''
def face_edge_vs(vi):
# assunme a quad
return [(vi[0], vi[1]), (vi[1], vi[2]), (vi[2], vi[3]), (vi[3], vi[0])]
uvs_source = face_source.uv
uvs_target = face_target.uv
vidx_source = [v.index for v in face_source]
vidx_target = [v.index for v in face_target]
# vertex index is the key, uv is the value
uvs_vhash_source = dict( [ (vindex, uvs_source[i]) for i, vindex in enumerate(vidx_source)] )
uvs_vhash_target = dict( [ (vindex, uvs_target[i]) for i, vindex in enumerate(vidx_target)] )
edge_idxs_source = face_edge_vs(vidx_source)
edge_idxs_target = face_edge_vs(vidx_target)
source_matching_edge = -1
target_matching_edge = -1
edge_key_swap = edge_key[1], edge_key[0]
try: source_matching_edge = edge_idxs_source.index(edge_key)
except: source_matching_edge = edge_idxs_source.index(edge_key_swap)
try: target_matching_edge = edge_idxs_target.index(edge_key)
except: target_matching_edge = edge_idxs_target.index(edge_key_swap)
edgepair_inner_source = edge_idxs_source[source_matching_edge]
edgepair_inner_target = edge_idxs_target[target_matching_edge]
edgepair_outer_source = edge_idxs_source[OTHER_INDEX[source_matching_edge]]
edgepair_outer_target = edge_idxs_target[OTHER_INDEX[target_matching_edge]]
if edge_idxs_source[source_matching_edge] == edge_idxs_target[target_matching_edge]:
iA= 0; iB= 1 # Flipped, most common
else: # The normals of these faces must be different
iA= 1; iB= 0
# Set the target UV's touching source face, no tricky calc needed,
uvs_vhash_target[edgepair_inner_target[0]][:] = uvs_vhash_source[edgepair_inner_source[iA]]
uvs_vhash_target[edgepair_inner_target[1]][:] = uvs_vhash_source[edgepair_inner_source[iB]]
# Set the 2 UV's on the target face that are not touching
# for this we need to do basic expaning on the source faces UV's
if EXTEND_MODE == 2:
try: # divide by zero is possible
'''
measure the length of each face from the middle of each edge to the opposite
allong the axis we are copying, use this
'''
i1a= edgepair_outer_target[iB]
i2a= edgepair_inner_target[iA]
if i1a>i2a: i1a, i2a = i2a, i1a
i1b= edgepair_outer_source[iB]
i2b= edgepair_inner_source[iA]
if i1b>i2b: i1b, i2b = i2b, i1b
# print edge_average_lengths
factor = edge_average_lengths[i1a, i2a][0] / edge_average_lengths[i1b, i2b][0]
except:
# Div By Zero?
factor = 1.0
uvs_vhash_target[edgepair_outer_target[iB]][:] = uvs_vhash_source[edgepair_inner_source[0]] +factor * (uvs_vhash_source[edgepair_inner_source[0]] - uvs_vhash_source[edgepair_outer_source[1]])
uvs_vhash_target[edgepair_outer_target[iA]][:] = uvs_vhash_source[edgepair_inner_source[1]] +factor * (uvs_vhash_source[edgepair_inner_source[1]] - uvs_vhash_source[edgepair_outer_source[0]])
else:
# same as above but with no factor
uvs_vhash_target[edgepair_outer_target[iB]][:] = uvs_vhash_source[edgepair_inner_source[0]] + (uvs_vhash_source[edgepair_inner_source[0]] - uvs_vhash_source[edgepair_outer_source[1]])
uvs_vhash_target[edgepair_outer_target[iA]][:] = uvs_vhash_source[edgepair_inner_source[1]] + (uvs_vhash_source[edgepair_inner_source[1]] - uvs_vhash_source[edgepair_outer_source[0]])
if not me.faceUV:
me.faceUV= True
face_act = me.activeFace
if face_act == -1:
Draw.PupMenu('ERROR: No active face')
return
face_sel= [f for f in me.faces if len(f) == 4 and f.sel]
face_act_local_index = -1
for i, f in enumerate(face_sel):
if f.index == face_act:
face_act_local_index = i
break
if face_act_local_index == -1:
Draw.PupMenu('ERROR: Active face not selected')
return
# Modes
# 0 unsearched
# 1:mapped, use search from this face. - removed!!
# 2:all siblings have been searched. dont search again.
face_modes = [0] * len(face_sel)
face_modes[face_act_local_index] = 1 # extend UV's from this face.
# Edge connectivty
edge_faces = {}
for i, f in enumerate(face_sel):
for edkey in f.edge_keys:
try: edge_faces[edkey].append(i)
except: edge_faces[edkey] = [i]
SEAM = Mesh.EdgeFlags.SEAM
if EXTEND_MODE == 2:
edge_loops = BPyMesh.getFaceLoopEdges(face_sel, [ed.key for ed in me.edges if ed.flag & SEAM] )
me_verts = me.verts
for loop in edge_loops:
looplen = [0.0]
for ed in loop:
edge_average_lengths[ed] = looplen
looplen[0] += (me_verts[ed[0]].co - me_verts[ed[1]].co).length
looplen[0] = looplen[0] / len(loop)
# remove seams, so we dont map accross seams.
for ed in me.edges:
if ed.flag & SEAM:
# remove the edge pair if we can
try: del edge_faces[ed.key]
except: pass
# Done finding seams
# face connectivity - faces around each face
# only store a list of indicies for each face.
face_faces = [[] for i in xrange(len(face_sel))]
for edge_key, faces in edge_faces.iteritems():
if len(faces) == 2: # Only do edges with 2 face users for now
face_faces[faces[0]].append((faces[1], edge_key))
face_faces[faces[1]].append((faces[0], edge_key))
# Now we know what face is connected to what other face, map them by connectivity
ok = True
while ok:
ok = False
for i in xrange(len(face_sel)):
if face_modes[i] == 1: # searchable
for f_sibling, edge_key in face_faces[i]:
if face_modes[f_sibling] == 0:
face_modes[f_sibling] = 1 # mapped and search from.
extend_uvs(face_sel[i], face_sel[f_sibling], edge_key)
face_modes[i] = 1 # we can map from this one now.
ok= True # keep searching
face_modes[i] = 2 # dont search again
print sys.time() - t
if is_editmode:
Window.EditMode(1)
else:
me.update()
Window.RedrawAll()
Window.WaitCursor(0)
def main():
sce = bpy.data.scenes.active
ob = sce.objects.active
# print ob, ob.type
if ob == None or ob.type != 'Mesh':
Draw.PupMenu('ERROR: No mesh object.')
return
# 0:normal extend, 1:edge length
EXTEND_MODE = Draw.PupMenu("Use Face Area%t|Loop Average%x2|None%x0")
extend(EXTEND_MODE,ob)
if __name__ == '__main__':
main()
| 31.313725 | 195 | 0.707201 | 1,271 | 7,985 | 4.215578 | 0.247836 | 0.032848 | 0.039194 | 0.057484 | 0.270997 | 0.238895 | 0.186264 | 0.14483 | 0.14483 | 0.102277 | 0 | 0.019954 | 0.177833 | 7,985 | 254 | 196 | 31.437008 | 0.796192 | 0.240326 | 0 | 0.123188 | 0 | 0 | 0.067706 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.007246 | 0.021739 | null | null | 0.007246 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
83e3b262a987de45abbd2e106414db47c397b8e3 | 7,738 | py | Python | CIM14/ENTSOE/Dynamics/IEC61970/Dynamics/DynamicsMetaBlock.py | MaximeBaudette/PyCIM | d68ee5ccfc1d32d44c5cd09fb173142fb5ff4f14 | [
"MIT"
] | 58 | 2015-04-22T10:41:03.000Z | 2022-03-29T16:04:34.000Z | CIM14/ENTSOE/Dynamics/IEC61970/Dynamics/DynamicsMetaBlock.py | MaximeBaudette/PyCIM | d68ee5ccfc1d32d44c5cd09fb173142fb5ff4f14 | [
"MIT"
] | 12 | 2015-08-26T03:57:23.000Z | 2020-12-11T20:14:42.000Z | CIM14/ENTSOE/Dynamics/IEC61970/Dynamics/DynamicsMetaBlock.py | MaximeBaudette/PyCIM | d68ee5ccfc1d32d44c5cd09fb173142fb5ff4f14 | [
"MIT"
] | 35 | 2015-01-10T12:21:03.000Z | 2020-09-09T08:18:16.000Z | # Copyright (C) 2010-2011 Richard Lincoln
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to
# deal in the Software without restriction, including without limitation the
# rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
# sell copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
# IN THE SOFTWARE.
from CIM14.ENTSOE.Dynamics.IEC61970.Core.CoreIdentifiedObject import CoreIdentifiedObject
class DynamicsMetaBlock(CoreIdentifiedObject):
def __init__(self, blockKind="", proprietary=False, Block=None, MetaBlockSignal=None, MetaBlockReference=None, MetaBlockParameter=None, MetaBlockOutput=None, MetaBlockInput=None, MetaBlockState=None, *args, **kw_args):
"""Initialises a new 'DynamicsMetaBlock' instance.
@param blockKind:
@param proprietary:
@param Block:
@param MetaBlockSignal:
@param MetaBlockReference:
@param MetaBlockParameter:
@param MetaBlockOutput:
@param MetaBlockInput:
@param MetaBlockState:
"""
self.blockKind = blockKind
self.proprietary = proprietary
self._Block = []
self.Block = [] if Block is None else Block
self._MetaBlockSignal = []
self.MetaBlockSignal = [] if MetaBlockSignal is None else MetaBlockSignal
self._MetaBlockReference = []
self.MetaBlockReference = [] if MetaBlockReference is None else MetaBlockReference
self._MetaBlockParameter = []
self.MetaBlockParameter = [] if MetaBlockParameter is None else MetaBlockParameter
self._MetaBlockOutput = []
self.MetaBlockOutput = [] if MetaBlockOutput is None else MetaBlockOutput
self._MetaBlockInput = []
self.MetaBlockInput = [] if MetaBlockInput is None else MetaBlockInput
self._MetaBlockState = []
self.MetaBlockState = [] if MetaBlockState is None else MetaBlockState
super(DynamicsMetaBlock, self).__init__(*args, **kw_args)
_attrs = ["blockKind", "proprietary"]
_attr_types = {"blockKind": str, "proprietary": bool}
_defaults = {"blockKind": "", "proprietary": False}
_enums = {"blockKind": "DynamicsBlockKind"}
_refs = ["Block", "MetaBlockSignal", "MetaBlockReference", "MetaBlockParameter", "MetaBlockOutput", "MetaBlockInput", "MetaBlockState"]
_many_refs = ["Block", "MetaBlockSignal", "MetaBlockReference", "MetaBlockParameter", "MetaBlockOutput", "MetaBlockInput", "MetaBlockState"]
def getBlock(self):
"""
"""
return self._Block
def setBlock(self, value):
for x in self._Block:
x.MetaBlock = None
for y in value:
y._MetaBlock = self
self._Block = value
Block = property(getBlock, setBlock)
def addBlock(self, *Block):
for obj in Block:
obj.MetaBlock = self
def removeBlock(self, *Block):
for obj in Block:
obj.MetaBlock = None
def getMetaBlockSignal(self):
"""
"""
return self._MetaBlockSignal
def setMetaBlockSignal(self, value):
for x in self._MetaBlockSignal:
x.MemberOf_MetaBlock = None
for y in value:
y._MemberOf_MetaBlock = self
self._MetaBlockSignal = value
MetaBlockSignal = property(getMetaBlockSignal, setMetaBlockSignal)
def addMetaBlockSignal(self, *MetaBlockSignal):
for obj in MetaBlockSignal:
obj.MemberOf_MetaBlock = self
def removeMetaBlockSignal(self, *MetaBlockSignal):
for obj in MetaBlockSignal:
obj.MemberOf_MetaBlock = None
def getMetaBlockReference(self):
"""
"""
return self._MetaBlockReference
def setMetaBlockReference(self, value):
for x in self._MetaBlockReference:
x.MemberOf_MetaBlock = None
for y in value:
y._MemberOf_MetaBlock = self
self._MetaBlockReference = value
MetaBlockReference = property(getMetaBlockReference, setMetaBlockReference)
def addMetaBlockReference(self, *MetaBlockReference):
for obj in MetaBlockReference:
obj.MemberOf_MetaBlock = self
def removeMetaBlockReference(self, *MetaBlockReference):
for obj in MetaBlockReference:
obj.MemberOf_MetaBlock = None
def getMetaBlockParameter(self):
"""
"""
return self._MetaBlockParameter
def setMetaBlockParameter(self, value):
for x in self._MetaBlockParameter:
x.MemberOf_MetaBlock = None
for y in value:
y._MemberOf_MetaBlock = self
self._MetaBlockParameter = value
MetaBlockParameter = property(getMetaBlockParameter, setMetaBlockParameter)
def addMetaBlockParameter(self, *MetaBlockParameter):
for obj in MetaBlockParameter:
obj.MemberOf_MetaBlock = self
def removeMetaBlockParameter(self, *MetaBlockParameter):
for obj in MetaBlockParameter:
obj.MemberOf_MetaBlock = None
def getMetaBlockOutput(self):
"""
"""
return self._MetaBlockOutput
def setMetaBlockOutput(self, value):
for x in self._MetaBlockOutput:
x.MemberOf_MetaBlock = None
for y in value:
y._MemberOf_MetaBlock = self
self._MetaBlockOutput = value
MetaBlockOutput = property(getMetaBlockOutput, setMetaBlockOutput)
def addMetaBlockOutput(self, *MetaBlockOutput):
for obj in MetaBlockOutput:
obj.MemberOf_MetaBlock = self
def removeMetaBlockOutput(self, *MetaBlockOutput):
for obj in MetaBlockOutput:
obj.MemberOf_MetaBlock = None
def getMetaBlockInput(self):
"""
"""
return self._MetaBlockInput
def setMetaBlockInput(self, value):
for x in self._MetaBlockInput:
x.MemberOf_MetaBlock = None
for y in value:
y._MemberOf_MetaBlock = self
self._MetaBlockInput = value
MetaBlockInput = property(getMetaBlockInput, setMetaBlockInput)
def addMetaBlockInput(self, *MetaBlockInput):
for obj in MetaBlockInput:
obj.MemberOf_MetaBlock = self
def removeMetaBlockInput(self, *MetaBlockInput):
for obj in MetaBlockInput:
obj.MemberOf_MetaBlock = None
def getMetaBlockState(self):
"""
"""
return self._MetaBlockState
def setMetaBlockState(self, value):
for x in self._MetaBlockState:
x.MemberOf_MetaBlock = None
for y in value:
y._MemberOf_MetaBlock = self
self._MetaBlockState = value
MetaBlockState = property(getMetaBlockState, setMetaBlockState)
def addMetaBlockState(self, *MetaBlockState):
for obj in MetaBlockState:
obj.MemberOf_MetaBlock = self
def removeMetaBlockState(self, *MetaBlockState):
for obj in MetaBlockState:
obj.MemberOf_MetaBlock = None
| 33.938596 | 222 | 0.674334 | 745 | 7,738 | 6.900671 | 0.233557 | 0.079362 | 0.021786 | 0.017701 | 0.315697 | 0.30072 | 0.274849 | 0.269986 | 0.216689 | 0.068858 | 0 | 0.00259 | 0.251615 | 7,738 | 227 | 223 | 34.088106 | 0.885167 | 0.178599 | 0 | 0.343511 | 0 | 0 | 0.045747 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.221374 | false | 0 | 0.007634 | 0 | 0.389313 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
83ee7b4543ab79bc0395dcd6db36fd4ba26a265c | 378 | py | Python | setup.py | mattpatey/text2qrcode | f0cbb006241ba20c76b16d67815836fd44890315 | [
"Xnet",
"X11"
] | 1 | 2020-11-13T20:59:08.000Z | 2020-11-13T20:59:08.000Z | setup.py | mattpatey/text2qrcode | f0cbb006241ba20c76b16d67815836fd44890315 | [
"Xnet",
"X11"
] | null | null | null | setup.py | mattpatey/text2qrcode | f0cbb006241ba20c76b16d67815836fd44890315 | [
"Xnet",
"X11"
] | null | null | null | from setuptools import (
find_packages,
setup,
)
setup(
name="text2qrcode",
version="1.0-a1",
description="Render a QR code image from input text",
author="Matt Patey",
packages=find_packages(),
install_requires=["qrcode", "pillow"],
entry_points={
"console_scripts": [
"t2qr=text2qrcode.main:main"
]
}
)
| 19.894737 | 57 | 0.595238 | 40 | 378 | 5.5 | 0.825 | 0.109091 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.021818 | 0.272487 | 378 | 18 | 58 | 21 | 0.778182 | 0 | 0 | 0 | 0 | 0 | 0.312169 | 0.068783 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.058824 | 0 | 0.058824 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
83f188e156ec6c7d9f2733735708e0459183598e | 930 | py | Python | taurex/data/profiles/pressure/arraypressure.py | ucl-exoplanets/TauREx3_public | cf8da465448df44c3c4dcc2cd0002ef34edd3920 | [
"BSD-3-Clause"
] | 10 | 2019-12-18T09:19:16.000Z | 2021-06-21T11:02:06.000Z | taurex/data/profiles/pressure/arraypressure.py | ucl-exoplanets/TauREx3_public | cf8da465448df44c3c4dcc2cd0002ef34edd3920 | [
"BSD-3-Clause"
] | 10 | 2020-03-24T18:02:15.000Z | 2021-08-23T20:32:09.000Z | taurex/data/profiles/pressure/arraypressure.py | ucl-exoplanets/TauREx3_public | cf8da465448df44c3c4dcc2cd0002ef34edd3920 | [
"BSD-3-Clause"
] | 8 | 2020-03-26T14:16:42.000Z | 2021-12-18T22:11:25.000Z | from .pressureprofile import PressureProfile
import numpy as np
class ArrayPressureProfile(PressureProfile):
def __init__(self, array, reverse=False):
super().__init__(self.__class__.__name__, array.shape[-1])
if reverse:
self.pressure_profile = array[::-1]
else:
self.pressure_profile = array
def compute_pressure_profile(self):
"""
Sets up the pressure profile for the atmosphere model
"""
logp = np.log10(self.pressure_profile)
gradp = np.gradient(logp)
self.pressure_profile_levels = \
10**np.append(logp-gradp/2, logp[-1]+gradp[-1]/2)
@property
def profile(self):
return self.pressure_profile
def write(self, output):
pressure = super().write(output)
return pressure
@classmethod
def input_keywords(self):
return ['array', 'fromarray',] | 24.473684 | 66 | 0.62043 | 102 | 930 | 5.411765 | 0.441176 | 0.190217 | 0.172101 | 0.086957 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014837 | 0.275269 | 930 | 38 | 67 | 24.473684 | 0.804154 | 0.056989 | 0 | 0 | 0 | 0 | 0.016413 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.217391 | false | 0 | 0.086957 | 0.086957 | 0.478261 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
83f1b322463e935e9c59457e936e5b4e88b767fd | 2,857 | py | Python | bin/check_samplesheet.py | ggabernet/vcreport | fe5d315364c19d7286c5f7419cc5ff4599ed373d | [
"MIT"
] | 1 | 2021-08-23T20:15:15.000Z | 2021-08-23T20:15:15.000Z | bin/check_samplesheet.py | ggabernet/vcreport | fe5d315364c19d7286c5f7419cc5ff4599ed373d | [
"MIT"
] | null | null | null | bin/check_samplesheet.py | ggabernet/vcreport | fe5d315364c19d7286c5f7419cc5ff4599ed373d | [
"MIT"
] | 1 | 2021-09-09T09:40:11.000Z | 2021-09-09T09:40:11.000Z | #!/usr/bin/env python
# This script is based on the example at: https://raw.githubusercontent.com/nf-core/test-datasets/viralrecon/samplesheet/samplesheet_test_illumina_amplicon.csv
import os
import sys
import errno
import argparse
def parse_args(args=None):
Description = "Reformat nf-core/vcreport samplesheet file and check its contents."
Epilog = "Example usage: python check_samplesheet.py <FILE_IN>"
parser = argparse.ArgumentParser(description=Description, epilog=Epilog)
parser.add_argument("FILE_IN", help="Input samplesheet file.")
return parser.parse_args(args)
def make_dir(path):
if len(path) > 0:
try:
os.makedirs(path)
except OSError as exception:
if exception.errno != errno.EEXIST:
raise exception
def print_error(error, context="Line", context_str=""):
error_str = "ERROR: Please check samplesheet -> {}".format(error)
if context != "" and context_str != "":
error_str = "ERROR: Please check samplesheet -> {}\n{}: '{}'".format(
error, context.strip(), context_str.strip()
)
print(error_str)
sys.exit(1)
# TODO nf-core: Update the check_samplesheet function
def check_samplesheet(file_in):
"""
This function checks that the samplesheet follows the following structure:
sample,vcf
SAMPLE1,sample1.vcf
SAMPLE2,sample2.vcf
For an example see:
https://raw.githubusercontent.com/nf-core/test-datasets/viralrecon/samplesheet/samplesheet_test_illumina_amplicon.csv
"""
sample_mapping_dict = {}
with open(file_in, "r") as fin:
## Check header
MIN_COLS = 2
# TODO nf-core: Update the column names for the input samplesheet
HEADER = ["sample", "vcf"]
header = [x.strip('"') for x in fin.readline().strip().split(",")]
if header[: len(HEADER)] != HEADER:
print("ERROR: Please check samplesheet header -> {} != {}".format(",".join(header), ",".join(HEADER)))
sys.exit(1)
## Check sample entries
for line in fin:
lspl = [x.strip().strip('"') for x in line.strip().split(",")]
# Check valid number of columns per row
if len(lspl) < len(HEADER):
print_error(
"Invalid number of columns (minimum = {})!".format(len(HEADER)),
"Line",
line,
)
num_cols = len([x for x in lspl if x])
if num_cols < MIN_COLS:
print_error(
"Invalid number of populated columns (minimum = {})!".format(MIN_COLS),
"Line",
line,
)
def main(args=None):
args = parse_args(args)
check_samplesheet(args.FILE_IN)
if __name__ == "__main__":
sys.exit(main())
| 31.395604 | 159 | 0.60273 | 341 | 2,857 | 4.920821 | 0.360704 | 0.066746 | 0.023242 | 0.048272 | 0.22646 | 0.174017 | 0.174017 | 0.174017 | 0.120381 | 0.120381 | 0 | 0.003863 | 0.275114 | 2,857 | 90 | 160 | 31.744444 | 0.806374 | 0.221211 | 0 | 0.148148 | 0 | 0 | 0.187987 | 0 | 0 | 0 | 0 | 0.022222 | 0 | 1 | 0.092593 | false | 0 | 0.074074 | 0 | 0.185185 | 0.092593 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
83f2f7aa75a2c9e552bb8125bde1278a1b2c932e | 1,643 | bzl | Python | cmake/build_defs.bzl | benjaminp/upb | 901744a97e5170bfdd5b408a26b6603b1fbab9ad | [
"BSD-3-Clause"
] | null | null | null | cmake/build_defs.bzl | benjaminp/upb | 901744a97e5170bfdd5b408a26b6603b1fbab9ad | [
"BSD-3-Clause"
] | null | null | null | cmake/build_defs.bzl | benjaminp/upb | 901744a97e5170bfdd5b408a26b6603b1fbab9ad | [
"BSD-3-Clause"
] | null | null | null |
def generated_file_staleness_test(name, outs, generated_pattern):
"""Tests that checked-in file(s) match the contents of generated file(s).
The resulting test will verify that all output files exist and have the
correct contents. If the test fails, it can be invoked with --fix to
bring the checked-in files up to date.
Args:
name: Name of the rule.
outs: the checked-in files that are copied from generated files.
generated_pattern: the pattern for transforming each "out" file into a
generated file. For example, if generated_pattern="generated/%s" then
a file foo.txt will look for generated file generated/foo.txt.
"""
script_name = name + ".py"
script_src = ":staleness_test.py"
# Filter out non-existing rules so Blaze doesn't error out before we even
# run the test.
existing_outs = native.glob(include = outs)
# The file list contains a few extra bits of information at the end.
# These get unpacked by the Config class in staleness_test_lib.py.
file_list = outs + [generated_pattern, native.package_name() or ".", name]
native.genrule(
name = name + "_makescript",
outs = [script_name],
srcs = [script_src],
testonly = 1,
cmd = "cat $(location " + script_src + ") > $@; " +
"sed -i.bak -e 's|INSERT_FILE_LIST_HERE|" + "\\\n ".join(file_list) + "|' $@",
)
native.py_test(
name = name,
srcs = [script_name],
data = existing_outs + [generated_pattern % file for file in outs],
deps = [
":staleness_test_lib",
],
)
| 36.511111 | 93 | 0.634814 | 226 | 1,643 | 4.486726 | 0.482301 | 0.078895 | 0.059172 | 0.033531 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000831 | 0.267194 | 1,643 | 44 | 94 | 37.340909 | 0.841362 | 0.478393 | 0 | 0 | 1 | 0 | 0.155087 | 0.031017 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047619 | false | 0 | 0 | 0 | 0.047619 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
83f32ec218d69fd1e8829338d9a53be2a269009b | 4,894 | py | Python | tests/transform_finding_test.py | aws-samples/aws-security-hub-analytic-pipeline | 3e4242c24297725f656ff8a560ff180604443223 | [
"MIT-0"
] | 7 | 2021-06-16T00:55:44.000Z | 2022-02-13T23:00:27.000Z | tests/transform_finding_test.py | QPC-database/aws-security-hub-analytic-pipeline | aff8cd7f5954c285b93fe8f67f8bef2482a1f686 | [
"MIT-0"
] | null | null | null | tests/transform_finding_test.py | QPC-database/aws-security-hub-analytic-pipeline | aff8cd7f5954c285b93fe8f67f8bef2482a1f686 | [
"MIT-0"
] | 2 | 2021-07-11T02:41:38.000Z | 2022-03-29T20:34:23.000Z | from assets.lambdas.transform_findings.index import TransformFindings
import boto3
from moto import mock_s3
def __make_bucket(bucket_name: str):
bucket = boto3.resource('s3').Bucket(bucket_name)
bucket.create()
return bucket
@mock_s3
def test_fix_dictionary():
bucket = __make_bucket('tester')
transform_findings = TransformFindings(bucket.name)
finding = {
'first/level/test': 'test',
'ProductArn': 'arn:aws:securityhub:us-east-1::product/aws/securityhub',
'Types': ['Software and Configuration Checks/Industry and Regulatory Standards/CIS AWS Foundations Benchmark'],
'Description': 'Security groups provide stateful filtering of ingress/egress network traffic to AWS resources. It is recommended that no security group allows unrestricted ingress access to port 22.',
'SchemaVersion': '2018-10-08',
'Compliance': {'Status': 'PASSED'},
'GeneratorId': 'arn:aws:securityhub:::ruleset/cis-aws-foundations-benchmark/v/1.2.0/rule/4.1',
'FirstObservedAt': '2021-01-31T04:52:30.123Z',
'CreatedAt': '2021-01-31T04:52:30.123Z',
'RecordState': 'ACTIVE',
'Title': '4.1 Ensure no security groups allow ingress from 0.0.0.0/0 to port 22',
'Workflow': {'Status': 'RESOLVED'},
'LastObservedAt': '2021-05-07T11:05:27.353Z',
'Severity': {'Normalized': 0, 'Label': 'INFORMATIONAL', 'Product': 0, 'Original': 'INFORMATIONAL'},
'UpdatedAt': '2021-05-07T11:05:25.775Z',
'FindingProviderFields': {
'Types': [
'Software and Configuration Checks/Industry and Regulatory Standards/CIS AWS Foundations Benchmark'],
'Severity': {'Normalized': 0, 'Label': 'INFORMATIONAL', 'Product': 0, 'Original': 'INFORMATIONAL'}
},
'WorkflowState': 'NEW',
'ProductFields': {
'StandardsGuideArn': 'arn:aws:securityhub:::ruleset/cis-aws-foundations-benchmark/v/1.2.0',
'StandardsGuideSubscriptionArn': 'arn:aws:securityhub:us-east-1:0123456789:subscription/cis-aws-foundations-benchmark/v/1.2.0',
'RuleId': '4.1',
'RecommendationUrl': 'https://docs.aws.amazon.com/console/securityhub/standards-cis-4.1/remediation',
'RelatedAWSResources:0/name': 'securityhub-restricted-ssh-38a80c22',
'RelatedAWSResources:0/type': 'AWS::Config::ConfigRule',
'StandardsControlArn': 'arn:aws:securityhub:us-east-1:0123456789:control/cis-aws-foundations-benchmark/v/1.2.0/4.1',
'aws/securityhub/ProductName': 'Security Hub',
'aws/securityhub/CompanyName': 'AWS',
'aws/securityhub/FindingId': 'arn:aws:securityhub:us-east-1::product/aws/securityhub/arn:aws:securityhub:us-east-1:0123456789:subscription/cis-aws-foundations-benchmark/v/1.2.0/4.1/finding/2a55570b-74e9-4aa3-9f4e-66f515c7ff03'
},
'AwsAccountId': '0123456789',
'Id': 'arn:aws:securityhub:us-east-1:0123456789:subscription/cis-aws-foundations-benchmark/v/1.2.0/4.1/finding/2a55570b-74e9-4aa3-9f4e-66f515c7ff03',
'Remediation': {
'Recommendation': {
'Text': 'For directions on how to fix this issue, please consult the AWS Security Hub CIS documentation.',
'Url': 'https://docs.aws.amazon.com/console/securityhub/standards-cis-4.1/remediation'}
},
'Resources': [{
'Partition': 'aws',
'Type': 'AwsEc2SecurityGroup',
'Details': {
'AwsEc2SecurityGroup': {
'GroupName': 'default',
'OwnerId': '0123456789',
'VpcId': 'vpc-0123456789',
'IpPermissions': [{'IpProtocol': '-1', 'UserIdGroupPairs': [
{'UserId': '0123456789', 'GroupId': 'sg-0123456789'}]}],
'IpPermissionsEgress': [{'IpProtocol': '-1', 'IpRanges': [{'CidrIp': '0.0.0.0/0'}]}],
'GroupId': 'sg-0123456789'}
},
'Region': 'us-east-1', 'Id': 'arn:aws:ec2:us-east-1:0123456789:security-group/sg-0123456789'
}]
}
result = transform_findings.fix_dictionary(finding)
assert isinstance(result, dict)
assert 'first/level/test' not in result
assert 'first_level_test' in result
assert 'ProductFields' in result
assert 'aws/securityhub/ProductName' not in result['ProductFields']
assert 'aws_securityhub_ProductName' in result['ProductFields']
assert 'aws/securityhub/CompanyName' not in result['ProductFields']
assert 'aws_securityhub_CompanyName' in result['ProductFields']
assert 'aws/securityhub/FindingId' not in result['ProductFields']
assert 'aws_securityhub_FindingId' in result['ProductFields']
assert 'RelatedAWSResources:0/name' not in result['ProductFields']
assert 'RelatedAWSResources_0_name' in result['ProductFields'] | 56.252874 | 238 | 0.647323 | 533 | 4,894 | 5.894934 | 0.348968 | 0.084659 | 0.043285 | 0.0662 | 0.452896 | 0.448759 | 0.436665 | 0.31254 | 0.31254 | 0.241884 | 0 | 0.081769 | 0.205353 | 4,894 | 87 | 239 | 56.252874 | 0.726151 | 0 | 0 | 0 | 0 | 0.135802 | 0.602247 | 0.269459 | 0 | 0 | 0 | 0 | 0.148148 | 1 | 0.024691 | false | 0.012346 | 0.037037 | 0 | 0.074074 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
83fa1f4c15e8b0c13b7079f93983ba9e472a57f2 | 3,286 | bzl | Python | haskell/private/packages.bzl | andyscott/rules_haskell | 1c7341f885f62cecad705f6a9e8b610b73f11527 | [
"Apache-2.0"
] | null | null | null | haskell/private/packages.bzl | andyscott/rules_haskell | 1c7341f885f62cecad705f6a9e8b610b73f11527 | [
"Apache-2.0"
] | null | null | null | haskell/private/packages.bzl | andyscott/rules_haskell | 1c7341f885f62cecad705f6a9e8b610b73f11527 | [
"Apache-2.0"
] | null | null | null | """Package list handling"""
load(":private/set.bzl", "set")
def pkg_info_to_ghc_args(pkg_info):
"""
Takes the package info collected by `ghc_info()` and returns the actual
list of command line arguments that should be passed to GHC.
"""
args = [
# In compile.bzl, we pass this just before all -package-id
# arguments. Not doing so leads to bizarre compile-time failures.
# It turns out that equally, not doing so leads to bizarre
# link-time failures. See
# https://github.com/tweag/rules_haskell/issues/395.
"-hide-all-packages",
]
if not pkg_info.has_version:
args.extend([
# Macro version are disabled for all packages by default
# and enabled for package with version
# see https://github.com/tweag/rules_haskell/issues/414
"-fno-version-macros",
])
for package in pkg_info.packages:
args.extend(["-package", package])
for package_id in pkg_info.package_ids:
args.extend(["-package-id", package_id])
for package_db in pkg_info.package_dbs:
args.extend(["-package-db", package_db])
return args
def expose_packages(build_info, lib_info, use_direct, use_my_pkg_id, custom_package_caches, version):
"""
Returns the information that is needed by GHC in order to enable haskell
packages.
build_info: is common to all builds
version: if the rule contains a version, we will export the CPP version macro
All the other arguments are not understood well:
lib_info: only used for repl and linter
use_direct: only used for repl and linter
use_my_pkg_id: only used for one specific task in compile.bzl
custom_package_caches: override the package_caches of build_info, used only by the repl
"""
has_version = version != None and version != ""
# Expose all prebuilt dependencies
#
# We have to remember to specify all (transitive) wired-in
# dependencies or we can't find objects for linking
#
# Set use_direct if build_info does not have a direct_prebuilt_deps field.
packages = []
for prebuilt_dep in set.to_list(build_info.direct_prebuilt_deps if use_direct else build_info.prebuilt_dependencies):
packages.append(prebuilt_dep.package)
# Expose all bazel dependencies
package_ids = []
for package in set.to_list(build_info.package_ids):
# XXX: repl and lint uses this lib_info flags
# It is set to None in all other usage of this function
# TODO: find the meaning of this flag
if lib_info == None or package != lib_info.package_id:
# XXX: use_my_pkg_id is not None only in compile.bzl
if (use_my_pkg_id == None) or package != use_my_pkg_id:
package_ids.append(package)
# Only include package DBs for deps, prebuilt deps should be found
# auto-magically by GHC
package_dbs = []
for cache in set.to_list(build_info.package_caches if not custom_package_caches else custom_package_caches):
package_dbs.append(cache.dirname)
ghc_info = struct(
has_version = has_version,
packages = packages,
package_ids = package_ids,
package_dbs = package_dbs,
)
return ghc_info
| 36.921348 | 121 | 0.680158 | 478 | 3,286 | 4.493724 | 0.307531 | 0.03352 | 0.018622 | 0.023277 | 0.119181 | 0.119181 | 0.087523 | 0.037244 | 0 | 0 | 0 | 0.002426 | 0.247413 | 3,286 | 88 | 122 | 37.340909 | 0.866154 | 0.471698 | 0 | 0 | 0 | 0 | 0.052311 | 0 | 0 | 0 | 0 | 0.011364 | 0 | 1 | 0.055556 | false | 0 | 0 | 0 | 0.111111 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
83fd35f6f554a1bd8fc3e12924ca6da425b05086 | 486 | py | Python | tests/programs/lists/member_isin.py | astraldawn/pylps | e9964a24bb38657b180d441223b4cdb9e1dadc8a | [
"MIT"
] | 1 | 2018-05-19T18:28:12.000Z | 2018-05-19T18:28:12.000Z | tests/programs/lists/member_isin.py | astraldawn/pylps | e9964a24bb38657b180d441223b4cdb9e1dadc8a | [
"MIT"
] | 12 | 2018-04-26T00:58:11.000Z | 2018-05-13T22:03:39.000Z | tests/programs/lists/member_isin.py | astraldawn/pylps | e9964a24bb38657b180d441223b4cdb9e1dadc8a | [
"MIT"
] | null | null | null | from pylps.core import *
initialise(max_time=5)
create_actions('say(_, _)', 'say_single(_)')
create_events('member(_, _)')
create_facts('inp(_, _)')
create_variables('X', 'Y', 'F', 'Item', 'List', 'Tail')
inp([], [[]])
inp('z', ['a', 'b', 'c', 'd', 'e'])
inp('a', ['b', 'c', 'a'])
inp(['b', 'c'], ['d', ['a', 'c']])
inp(['b', 'c'], ['d', ['a', 'c'], ['b', 'c']])
reactive_rule(inp(Item, List)).then(
Item.is_in(List),
say(Item, List),
)
execute(debug=False)
show_kb_log()
| 20.25 | 55 | 0.522634 | 73 | 486 | 3.246575 | 0.547945 | 0.042194 | 0.037975 | 0.050633 | 0.067511 | 0.067511 | 0 | 0 | 0 | 0 | 0 | 0.00237 | 0.131687 | 486 | 23 | 56 | 21.130435 | 0.559242 | 0 | 0 | 0 | 0 | 0 | 0.164609 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.058824 | 0 | 0.058824 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
83ff592ddca67877e6b752e54e39cc96af464cdd | 1,565 | py | Python | clevr_video/params.py | jiaqi-xi/slot_attention | 8420414eb261501e5b056e4d409c338d909397ef | [
"Apache-2.0"
] | null | null | null | clevr_video/params.py | jiaqi-xi/slot_attention | 8420414eb261501e5b056e4d409c338d909397ef | [
"Apache-2.0"
] | null | null | null | clevr_video/params.py | jiaqi-xi/slot_attention | 8420414eb261501e5b056e4d409c338d909397ef | [
"Apache-2.0"
] | 1 | 2021-11-11T19:44:14.000Z | 2021-11-11T19:44:14.000Z | from typing import Optional
from typing import Tuple
import attr
@attr.s(auto_attribs=True)
class SlotAttentionParams:
lr: float = 0.0004
batch_size: int = 64
val_batch_size: int = 64
resolution: Tuple[int, int] = (128, 128)
num_slots: int = 7 # 5 change to 7 according to official code
num_iterations: int = 3
data_root: str = "/scratch/ssd004/scratch/ziyiwu/data/clevr_video/train/"
gpus: int = 1
max_epochs: int = 8
num_sanity_val_steps: int = 1
scheduler_gamma: float = 0.5
weight_decay: float = 0.0
num_train_images: Optional[int] = None
num_val_images: Optional[int] = None
empty_cache: bool = True
is_logger_enabled: bool = True
is_verbose: bool = True
num_workers: int = 4
n_samples: int = 5
warmup_steps_pct: float = 0.02
decay_steps_pct: float = 0.2
# whether use relu in SlotModel
use_relu: bool = True
# MLP hidden size in Slot Attention
slot_mlp_size: int = 128
# use self-entropy loss to masks
use_entropy_loss: bool = False
entropy_loss_w: float = 1.0
# whether set the slot parameters as learnable (to be updated by BP)
# TODO: should be True in official code!!!
# TODO: but this codebase set it as False and I've done lots of exp using
# TODO: it so far... So I set False as the default value
learnable_slot = False
# whether train mu and sigma or slot embedding, or directly emb itself
random_slot: bool = True
# whether each slot shares one set of learned parameters
slot_agnostic: bool = True
| 34.021739 | 77 | 0.686901 | 247 | 1,565 | 4.198381 | 0.510121 | 0.046287 | 0.030858 | 0.027001 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.03457 | 0.242173 | 1,565 | 45 | 78 | 34.777778 | 0.839798 | 0.315655 | 0 | 0 | 0 | 0 | 0.050943 | 0.050943 | 0 | 0 | 0 | 0.022222 | 0 | 1 | 0 | false | 0 | 0.090909 | 0 | 0.969697 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
86024a0f256f012bd58b4d8e9b5de4b21cc1702d | 1,024 | py | Python | stat_ip_in_hash_woker_table.py | ligang945/pyMisc | 3107c80f7f53ffc797b289ec73d1ef4db80f0b63 | [
"MIT"
] | null | null | null | stat_ip_in_hash_woker_table.py | ligang945/pyMisc | 3107c80f7f53ffc797b289ec73d1ef4db80f0b63 | [
"MIT"
] | null | null | null | stat_ip_in_hash_woker_table.py | ligang945/pyMisc | 3107c80f7f53ffc797b289ec73d1ef4db80f0b63 | [
"MIT"
] | null | null | null | def sortedDict(adict):
keys = adict.keys()
keys.sort()
return map(adict.get, keys)
ipint2str = lambda x: '.'.join([str(x/(256**i)%256) for i in range(3,-1,-1)])
ipstr2int = lambda x:sum([256**j*int(i) for j,i in enumerate(x.split('.')[::-1])])
src_ip = dict()
dst_ip = dict()
i =0
with open('hash_key_value') as f:
for line in f:
i += 1
# if i==8424720:
if i==328:
break
ip = int(line.split(',')[0], 16)
dir = int(line.split(',')[1])
if dir==1:
src_ip.setdefault(ip, dir)
elif dir ==0:
dst_ip.setdefault(ip, dir)
print len(src_ip)
for key in src_ip:
print ipint2str(key)+' ' ,
print '======='
print len(dst_ip)
for key in dst_ip:
print ipint2str(key)+' ' ,
# keys = src_ip.items()
# keys.sort()
# for key in keys:
# print ipint2str(key[0])
# keys = dst_ip.items()
# keys.sort()
# for key in keys:
# print ipint2str(key[0])
| 20.078431 | 82 | 0.512695 | 153 | 1,024 | 3.352941 | 0.326797 | 0.048733 | 0.062378 | 0.066277 | 0.175439 | 0.175439 | 0.175439 | 0.175439 | 0.175439 | 0.175439 | 0 | 0.055241 | 0.310547 | 1,024 | 50 | 83 | 20.48 | 0.671388 | 0.160156 | 0 | 0.074074 | 0 | 0 | 0.034198 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0.185185 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
86035a85164418f81cd1bcd44a084b4bd7b49d04 | 328 | py | Python | app/LOGS/logger_.py | innovationb1ue/XMU_HealthReport | 6ee0c7830a0e30fc9730401585a303873f382bac | [
"MIT"
] | 2 | 2021-09-03T18:13:46.000Z | 2022-01-13T08:48:36.000Z | app/LOGS/logger_.py | buuuuuuug/XMU_HealthReport | cb545959eceddf676b34237c38b1ba6f797764f5 | [
"MIT"
] | null | null | null | app/LOGS/logger_.py | buuuuuuug/XMU_HealthReport | cb545959eceddf676b34237c38b1ba6f797764f5 | [
"MIT"
] | 1 | 2021-07-14T09:48:19.000Z | 2021-07-14T09:48:19.000Z | import logging
class NewLogger:
def __init__(self, log_abs_path:str):
self.logger = logging.getLogger()
handler = logging.FileHandler(log_abs_path)
handler.setLevel(logging.ERROR)
self.logger.addHandler(handler)
def log(self, msg:str):
self.logger.log(logging.ERROR, msg)
| 18.222222 | 51 | 0.664634 | 40 | 328 | 5.25 | 0.475 | 0.142857 | 0.095238 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.231707 | 328 | 17 | 52 | 19.294118 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.222222 | false | 0 | 0.111111 | 0 | 0.444444 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
860663bf7fc7f279ff0aaf05a3df989c0b80600b | 2,431 | py | Python | Python/zzz_training_challenge/Python_Challenge/solutions/ch07_recursion_advanced/solutions/ex07_water_jugs.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/zzz_training_challenge/Python_Challenge/solutions/ch07_recursion_advanced/solutions/ex07_water_jugs.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/zzz_training_challenge/Python_Challenge/solutions/ch07_recursion_advanced/solutions/ex07_water_jugs.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | # Beispielprogramm für das Buch "Python Challenge"
#
# Copyright 2020 by Michael Inden
def solve_water_jugs(size1, size2, desired_liters):
return __solve_water_jugs_rec(size1, size2,
desired_liters, 0, 0, {})
def __solve_water_jugs_rec(size1, size2, desired_liters,
current_jug1, current_jug2, already_tried):
if is_solved(current_jug1, current_jug2, desired_liters):
print("Solved Jug 1:", current_jug1, " / 2:", current_jug2)
return True
key = (current_jug1, current_jug2)
if not key in already_tried:
already_tried[key] = True
# Probiere alle 6 Varianten aus
print("Jug 1:", current_jug1, " / 2: ", current_jug2)
min_2_1 = min(current_jug2, (size1 - current_jug1))
min_1_2 = min(current_jug1, (size2 - current_jug2))
result = __solve_water_jugs_rec(size1, size2, desired_liters,
0, current_jug2, already_tried) or \
__solve_water_jugs_rec(size1, size2, desired_liters,
current_jug1, 0, already_tried) or \
__solve_water_jugs_rec(size1, size2, desired_liters,
size1, current_jug2, already_tried) or \
__solve_water_jugs_rec(size1, size2, desired_liters,
current_jug1, size2, already_tried) or \
__solve_water_jugs_rec(size1, size2, desired_liters,
current_jug1 + min_2_1,
current_jug2 - min_2_1,
already_tried) or \
__solve_water_jugs_rec(size1, size2, desired_liters,
current_jug1 - min_1_2,
current_jug2 + min_1_2,
already_tried)
# Memoization:
already_tried[key] = result
return result
return False
def is_solved(current_jug1, current_jug2, desired_liters):
return (current_jug1 == desired_liters and current_jug2 == 0) or \
(current_jug2 == desired_liters and current_jug1 == 0)
def main():
print(solve_water_jugs(4, 3, 2))
print(solve_water_jugs(4, 4, 2))
#print(solveWaterJugs(5, 2, 4))
if __name__ == "__main__":
main()
| 37.4 | 80 | 0.559441 | 270 | 2,431 | 4.596296 | 0.203704 | 0.124093 | 0.124093 | 0.166801 | 0.559226 | 0.495568 | 0.495568 | 0.452055 | 0.382756 | 0.31668 | 0 | 0.055736 | 0.365282 | 2,431 | 64 | 81 | 37.984375 | 0.748542 | 0.062937 | 0 | 0.121951 | 0 | 0 | 0.016733 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.097561 | false | 0 | 0 | 0.04878 | 0.219512 | 0.097561 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
8606c99e338a87761250aeed31095b32a52bc802 | 10,041 | py | Python | Acquire/Identity/_useraccount.py | openghg/acquire | 8af8701b092f7304c02fea1ee6360e53502dfd64 | [
"Apache-2.0"
] | 1 | 2021-10-18T17:11:47.000Z | 2021-10-18T17:11:47.000Z | Acquire/Identity/_useraccount.py | openghg/acquire | 8af8701b092f7304c02fea1ee6360e53502dfd64 | [
"Apache-2.0"
] | null | null | null | Acquire/Identity/_useraccount.py | openghg/acquire | 8af8701b092f7304c02fea1ee6360e53502dfd64 | [
"Apache-2.0"
] | null | null | null | __all__ = ["UserAccount"]
_user_root = "identity/users"
def _encode_username(username):
"""This function returns an encoded (sanitised) version of
the username. This will ensure that the username
is valid (must be between 3 and 50 characters).
The sanitised username is the encoded version,
meaning that a user can use a unicode (emoji)
username if they so desire
"""
if username is None:
return None
if len(username) < 3 or len(username) > 150:
from Acquire.Identity import UsernameError
raise UsernameError("The username must be between 3 and 150 characters!")
from Acquire.ObjectStore import string_to_encoded as _string_to_encoded
return _string_to_encoded(username)
class UserAccount:
"""This class holds all information about a user's account,
e.g. their username, the sanitised username for the person
on the system, their account keys, status etc.
This data can be serialised to an from json to allow
easy saving a retrieval from an object store
"""
def __init__(self, username=None, user_uid=None, private_key=None, status=None):
"""Construct from the passed username"""
self._username = username
self._uid = user_uid
self._privkey = private_key
self._status = status
@staticmethod
def create(username, password, _service_uid=None, _service_public_key=None):
"""Create a new account with username 'username', which will
be secured using the passed password.
Note that this will create an account with a specified
user UID, meaning that different users can have the same
username. We identify the right user via the combination
of username, password and OTP code.
Normally the UID of the service, and the skeleton key
used to encrypt the backup password are obtained
directly from the service. However, when initialising
a new service we must pass these directly. In those
cases, pass the object using _service_uid and
_service_public_key
This returns a tuple of the user_uid and OTP for the
newly-created account
"""
from Acquire.ObjectStore import create_uuid as _create_uuid
from Acquire.Crypto import PrivateKey as _PrivateKey
from Acquire.Crypto import PublicKey as _PublicKey
from Acquire.ObjectStore import ObjectStore as _ObjectStore
from Acquire.Service import get_service_account_bucket as _get_service_account_bucket
from Acquire.ObjectStore import bytes_to_string as _bytes_to_string
from Acquire.Identity import UserCredentials as _UserCredentials
from Acquire.ObjectStore import get_datetime_now_to_string as _get_datetime_now_to_string
if _service_public_key is None:
from Acquire.Service import get_this_service as _get_this_service
service_pubkey = _get_this_service().public_skeleton_key()
assert service_pubkey is not None
else:
service_pubkey = _service_public_key
if not isinstance(service_pubkey, _PublicKey):
raise TypeError("The service public key must be type PublicKey")
if _service_uid is None:
from Acquire.Service import get_this_service as _get_this_service
service_uid = _get_this_service(need_private_access=False).uid()
else:
service_uid = _service_uid
# create a UID for this new user
user_uid = _create_uuid()
# now create the primary password for this user and use
# this to encrypt the special keys for this user
privkey = _PrivateKey(name="user_secret_key %s %s" % (username, user_uid))
primary_password = _PrivateKey.random_passphrase()
bucket = _get_service_account_bucket()
# now create the credentials used to validate a login
otp = _UserCredentials.create(user_uid=user_uid, password=password, primary_password=primary_password)
# create the user account
user = UserAccount(username=username, user_uid=user_uid, private_key=privkey, status="active")
# now save a lookup from the username to this user_uid
# (many users can have the same username). Use this lookup
# to hold a recovery password for this account
recovery_password = _bytes_to_string(service_pubkey.encrypt(primary_password))
key = "%s/names/%s/%s" % (_user_root, user.encoded_name(), user_uid)
_ObjectStore.set_string_object(bucket=bucket, key=key, string_data=recovery_password)
# now save a lookup from the hashed username+password
# to the user_uid, so that we can
# quickly find matching user_uids (expect few people will have
# exactly the same username and password). This will
# save the exact time this username-password combination
# was set
encoded_password = _UserCredentials.hash(
username=username, password=password, service_uid=service_uid
)
key = "%s/passwords/%s/%s" % (_user_root, encoded_password, user_uid)
_ObjectStore.set_string_object(bucket=bucket, key=key, string_data=_get_datetime_now_to_string())
# finally(!) save the account itself to the object store
key = "%s/uids/%s" % (_user_root, user_uid)
data = user.to_data(passphrase=primary_password)
_ObjectStore.set_object_from_json(bucket=bucket, key=key, data=data)
# return the OTP and user_uid
return (user_uid, otp)
@staticmethod
def login(credentials, user_uid=None, remember_device=False):
"""Login to the session with specified 'short_uid' with the
user with passed 'username' and 'credentials',
optionally specifying the user_uid
"""
if user_uid is None:
# find all of the user_uids of accounts with this
# username+password combination
from Acquire.ObjectStore import ObjectStore as _ObjectStore
from Acquire.Service import get_service_account_bucket as _get_service_account_bucket
from Acquire.Client import Credentials as _Credentials
from Acquire.Identity import UserCredentials as _UserCredentials
from Acquire.Service import get_this_service as _get_this_service
if not isinstance(credentials, _Credentials):
raise TypeError("The credentials must be type Credentials")
bucket = _get_service_account_bucket()
encoded_password = _UserCredentials.hash(
username=credentials.username(), password=credentials.password()
)
prefix = "%s/passwords/%s/" % (_user_root, encoded_password)
try:
names = _ObjectStore.get_all_object_names(bucket=bucket, prefix=prefix)
except:
names = []
user_uids = []
for name in names:
user_uids.append(name.split("/")[-1])
else:
user_uids = [user_uid]
if len(user_uids) == 0:
from Acquire.Identity import UserValidationError
raise UserValidationError("No user with name '%s'" % credentials.username())
from Acquire.Identity import UserCredentials as _UserCredentials
return _UserCredentials.login(
credentials=credentials, user_uids=user_uids, remember_device=remember_device
)
def __str__(self):
return "UserAccount(name : %s)" % self._username
def name(self):
"""Return the name of this account"""
return self._username
def username(self):
"""Synonym for 'name'"""
return self.name()
def encoded_name(self):
"""Return the encoded (sanitised) username"""
return _encode_username(self._username)
def uid(self):
"""Return the globally unique ID for this account"""
return self._uid
def login_root_url(self):
"""Return the root URL used to log into this account"""
from Acquire.Service import get_this_service as _get_this_service
return _get_this_service().canonical_url()
def is_valid(self):
"""Return whether or not this is a valid account"""
return not (self._status is None)
def is_active(self):
"""Return whether or not this is an active account"""
if self._status is None:
return False
else:
return self._status == "active"
def public_key(self):
"""Return the lines of the public key for this account"""
return self._privkey.public_key()
def private_key(self):
"""Return the lines of the private key for this account"""
return self._privkey
def status(self):
"""Return the status for this account"""
if self._status is None:
return "invalid"
return self._status
def to_data(self, passphrase, mangleFunction=None):
"""Return a data representation of this object (dictionary)"""
if self._username is None:
return None
data = {}
data["username"] = self._username
data["status"] = self._status
data["uid"] = self._uid
data["private_key"] = self._privkey.to_data(passphrase=passphrase, mangleFunction=mangleFunction)
return data
@staticmethod
def from_data(data, passphrase, mangleFunction=None):
"""Return a UserAccount constructed from the passed
data (dictionary)
"""
user = UserAccount()
if data is not None and len(data) > 0:
from Acquire.Crypto import PrivateKey as _PrivateKey
user._username = data["username"]
user._status = data["status"]
user._uid = data["uid"]
user._privkey = _PrivateKey.from_data(
data=data["private_key"], passphrase=passphrase, mangleFunction=mangleFunction
)
return user
| 37.74812 | 110 | 0.66587 | 1,245 | 10,041 | 5.154217 | 0.171888 | 0.023999 | 0.023999 | 0.02618 | 0.277388 | 0.193237 | 0.178276 | 0.11828 | 0.11828 | 0.0988 | 0 | 0.001901 | 0.266408 | 10,041 | 265 | 111 | 37.890566 | 0.869264 | 0.268101 | 0 | 0.20438 | 0 | 0 | 0.050958 | 0 | 0 | 0 | 0 | 0 | 0.007299 | 1 | 0.124088 | false | 0.116788 | 0.153285 | 0.007299 | 0.430657 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
860766f5b7e396034ed70275ab698c4665993ebb | 584 | py | Python | tests/test_translator.py | Attsun1031/schematics | 90dee53fd1d5c29f2c947bec6f5ffe5f74305ab1 | [
"BSD-3-Clause"
] | 1,430 | 2015-01-01T19:22:19.000Z | 2022-03-29T11:34:35.000Z | tests/test_translator.py | Attsun1031/schematics | 90dee53fd1d5c29f2c947bec6f5ffe5f74305ab1 | [
"BSD-3-Clause"
] | 360 | 2015-01-02T05:27:34.000Z | 2022-03-18T14:08:27.000Z | tests/test_translator.py | Attsun1031/schematics | 90dee53fd1d5c29f2c947bec6f5ffe5f74305ab1 | [
"BSD-3-Clause"
] | 222 | 2015-01-07T20:07:02.000Z | 2022-03-22T16:12:47.000Z | # -*- coding: utf-8 -*-
import pytest
def test_translator():
def translator(string):
translations = {'String value is too long.': 'Tamanho de texto muito grande.'}
return translations.get(string, string)
from schematics.translator import register_translator
register_translator(translator)
from schematics.types import StringType
from schematics.exceptions import ValidationError
with pytest.raises(ValidationError) as exc:
StringType(max_length=1).validate_length('Abc')
assert exc.value == ['Tamanho de texto muito grande.']
| 30.736842 | 86 | 0.72089 | 67 | 584 | 6.208955 | 0.567164 | 0.100962 | 0.067308 | 0.091346 | 0.120192 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004211 | 0.186644 | 584 | 18 | 87 | 32.444444 | 0.871579 | 0.035959 | 0 | 0 | 0 | 0 | 0.156863 | 0 | 0 | 0 | 0 | 0 | 0.083333 | 1 | 0.166667 | false | 0 | 0.333333 | 0 | 0.583333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 |
860804e29db65321937c10951cae50769822d370 | 641 | py | Python | 1014 Trie Tree/test.py | SLAPaper/hihoCoder | 3f64d678c5dd46db36345736eb56880fb2d2c5fe | [
"MIT"
] | null | null | null | 1014 Trie Tree/test.py | SLAPaper/hihoCoder | 3f64d678c5dd46db36345736eb56880fb2d2c5fe | [
"MIT"
] | null | null | null | 1014 Trie Tree/test.py | SLAPaper/hihoCoder | 3f64d678c5dd46db36345736eb56880fb2d2c5fe | [
"MIT"
] | null | null | null | # generate 900k word and 900k query to test the runtime
from main import TrieTree
import time
import random
vocal = list(range(26))
trie = TrieTree()
words = [[random.choice(vocal) for _ in range(random.randrange(1, 11))] for _ in range(100000)]
queries = [[random.choice(vocal) for _ in range(random.randrange(1, 11))] for _ in range(100000)]
begin = time.time()
for word in words:
trie.insert(word)
insert_end = time.time()
for query in queries:
trie.query(query)
end = time.time()
print("insert time used:", insert_end - begin, 's')
print("query time used:", end - insert_end, 's')
print("time used:", end - begin, 's')
| 22.103448 | 97 | 0.692668 | 100 | 641 | 4.37 | 0.35 | 0.045767 | 0.091533 | 0.091533 | 0.279176 | 0.279176 | 0.279176 | 0.279176 | 0.279176 | 0.279176 | 0 | 0.048598 | 0.165367 | 641 | 28 | 98 | 22.892857 | 0.768224 | 0.082683 | 0 | 0 | 1 | 0 | 0.078498 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.176471 | 0 | 0.176471 | 0.176471 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
f7a809bbbe91eb7260be62d0dad3baf769a4cf97 | 5,013 | py | Python | tests/test_host_resolver.py | mssaleh/aioatomapi | 2b9f00fce993153c52595e09ecc80562574af62c | [
"MIT"
] | null | null | null | tests/test_host_resolver.py | mssaleh/aioatomapi | 2b9f00fce993153c52595e09ecc80562574af62c | [
"MIT"
] | 27 | 2021-10-13T17:17:38.000Z | 2022-03-31T17:24:08.000Z | tests/test_host_resolver.py | mssaleh/aioatomapi | 2b9f00fce993153c52595e09ecc80562574af62c | [
"MIT"
] | null | null | null | import asyncio
import socket
import pytest
from mock import AsyncMock, MagicMock, patch
import aioatomapi.host_resolver as hr
from aioatomapi.core import APIConnectionError
@pytest.fixture
def async_zeroconf():
with patch("zeroconf.asyncio.AsyncZeroconf") as klass:
yield klass.return_value
@pytest.fixture
def addr_infos():
return [
hr.AddrInfo(
family=socket.AF_INET,
type=socket.SOCK_STREAM,
proto=socket.IPPROTO_TCP,
sockaddr=hr.IPv4Sockaddr(address="10.0.0.42", port=6052),
),
hr.AddrInfo(
family=socket.AF_INET6,
type=socket.SOCK_STREAM,
proto=socket.IPPROTO_TCP,
sockaddr=hr.IPv6Sockaddr(
address="2001:db8:85a3::8a2e:370:7334",
port=6052,
flowinfo=0,
scope_id=0,
),
),
]
@pytest.mark.asyncio
async def test_resolve_host_zeroconf(async_zeroconf, addr_infos):
info = MagicMock()
info.addresses_by_version.return_value = [
b"\n\x00\x00*",
b" \x01\r\xb8\x85\xa3\x00\x00\x00\x00\x8a.\x03ps4",
]
async_zeroconf.async_get_service_info = AsyncMock(return_value=info)
async_zeroconf.async_close = AsyncMock()
loop = asyncio.get_event_loop()
ret = await hr._async_resolve_host_zeroconf(loop, "asdf", 6052)
async_zeroconf.async_get_service_info.assert_called_once_with(
"_atomlib._tcp.local.", "asdf._atomlib._tcp.local.", 3000
)
async_zeroconf.async_close.assert_called_once_with()
assert ret == addr_infos
@pytest.mark.asyncio
async def test_resolve_host_zeroconf_empty(async_zeroconf):
async_zeroconf.async_get_service_info = AsyncMock(return_value=None)
async_zeroconf.async_close = AsyncMock()
loop = asyncio.get_event_loop()
ret = await hr._async_resolve_host_zeroconf(loop, "asdf.local", 6052)
assert ret == []
@pytest.mark.asyncio
async def test_resolve_host_getaddrinfo(addr_infos):
eventloop = AsyncMock()
eventloop.getaddrinfo.return_value = [
(
socket.AF_INET,
socket.SOCK_STREAM,
socket.IPPROTO_TCP,
"canon1",
("10.0.0.42", 6052),
),
(
socket.AF_INET6,
socket.SOCK_STREAM,
socket.IPPROTO_TCP,
"canon2",
("2001:db8:85a3::8a2e:370:7334", 6052, 0, 0),
),
(-1, socket.SOCK_STREAM, socket.IPPROTO_TCP, "canon3", ("10.0.0.42", 6052)),
]
ret = await hr._async_resolve_host_getaddrinfo(eventloop, "example.com", 6052)
assert ret == addr_infos
@pytest.mark.asyncio
async def test_resolve_host_getaddrinfo_oserror():
eventloop = AsyncMock()
eventloop.getaddrinfo.side_effect = OSError()
with pytest.raises(APIConnectionError):
await hr._async_resolve_host_getaddrinfo(eventloop, "example.com", 6052)
@pytest.mark.asyncio
@patch("aioatomapi.host_resolver._async_resolve_host_zeroconf")
@patch("aioatomapi.host_resolver._async_resolve_host_getaddrinfo")
async def test_resolve_host_mdns(resolve_addr, resolve_zc, addr_infos):
resolve_zc.return_value = addr_infos
loop = asyncio.get_event_loop()
ret = await hr.async_resolve_host(loop, "example.local", 6052)
resolve_zc.assert_called_once_with(loop, "example", 6052, zeroconf_instance=None)
resolve_addr.assert_not_called()
assert ret == addr_infos[0]
@pytest.mark.asyncio
@patch("aioatomapi.host_resolver._async_resolve_host_zeroconf")
@patch("aioatomapi.host_resolver._async_resolve_host_getaddrinfo")
async def test_resolve_host_mdns_empty(resolve_addr, resolve_zc, addr_infos):
resolve_zc.return_value = []
resolve_addr.return_value = addr_infos
loop = asyncio.get_event_loop()
ret = await hr.async_resolve_host(loop, "example.local", 6052)
resolve_zc.assert_called_once_with(loop, "example", 6052, zeroconf_instance=None)
resolve_addr.assert_called_once_with(loop, "example.local", 6052)
assert ret == addr_infos[0]
@pytest.mark.asyncio
@patch("aioatomapi.host_resolver._async_resolve_host_zeroconf")
@patch("aioatomapi.host_resolver._async_resolve_host_getaddrinfo")
async def test_resolve_host_addrinfo(resolve_addr, resolve_zc, addr_infos):
resolve_addr.return_value = addr_infos
ret = await hr.async_resolve_host(None, "example.com", 6052)
resolve_zc.assert_not_called()
resolve_addr.assert_called_once_with(None, "example.com", 6052)
assert ret == addr_infos[0]
@pytest.mark.asyncio
@patch("aioatomapi.host_resolver._async_resolve_host_zeroconf")
@patch("aioatomapi.host_resolver._async_resolve_host_getaddrinfo")
async def test_resolve_host_addrinfo_empty(resolve_addr, resolve_zc, addr_infos):
resolve_addr.return_value = []
with pytest.raises(APIConnectionError):
await hr.async_resolve_host(None, "example.com", 6052)
resolve_zc.assert_not_called()
resolve_addr.assert_called_once_with(None, "example.com", 6052)
| 32.764706 | 85 | 0.710353 | 641 | 5,013 | 5.213729 | 0.165367 | 0.078995 | 0.076601 | 0.045482 | 0.759725 | 0.739378 | 0.672651 | 0.672651 | 0.669659 | 0.582885 | 0 | 0.040362 | 0.18452 | 5,013 | 152 | 86 | 32.980263 | 0.777153 | 0 | 0 | 0.479339 | 0 | 0.008264 | 0.160184 | 0.118292 | 0 | 0 | 0 | 0 | 0.132231 | 1 | 0.016529 | false | 0 | 0.049587 | 0.008264 | 0.07438 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
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