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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
f8b32217c9daae58faab52a87b96758125de8793 | 4fe52c6f01afb05ac787a361a239466ceac69964 | /pyjournal2/build_util.py | 9acc2f6977346f32e542ec3806689de1074d6201 | [
"BSD-3-Clause"
] | permissive | cmsquared/pyjournal2 | 85beec6e3a0423d0ee873d189c3a879dd9a7db7c | cfa67529033c5fd7bcd5c60b87c8122ef8c22425 | refs/heads/master | 2020-04-03T18:30:15.119923 | 2018-10-31T00:41:07 | 2018-10-31T00:41:07 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,934 | py | """This module controls building the journal from the entry sources"""
import os
import webbrowser
import pyjournal2.shell_util as shell_util
def get_source_dir(defs):
"""return the directory where we put the sources"""
return "{}/journal-{}/source/".format(defs["working_path"], defs["nickname"])
def get_topics(defs):
"""return a list of the currently known topics"""
source_dir = get_source_dir(defs)
topics = []
# get the list of directories in source/ -- these are the topics
for d in os.listdir(source_dir):
if os.path.isdir(os.path.join(source_dir, d)) and not d.startswith("_"):
topics.append(d)
return topics
def create_topic(topic, defs):
"""create a new topic directory"""
source_dir = get_source_dir(defs)
try:
os.mkdir(os.path.join(source_dir, topic))
except:
sys.error("unable to create a new topic")
def build(defs, show=0):
"""build the journal. This entails writing the TOC files that link to
the individual entries and then running the Sphinx make command
"""
source_dir = get_source_dir(defs)
topics = get_topics(defs)
# for each topic, we want to create a "topic.rst" that then has
# things subdivided by year-month, and that a
# "topic-year-month.rst" that includes the individual entries
for topic in topics:
tdir = os.path.join(source_dir, topic)
os.chdir(tdir)
# look over the directories here, they will be in the form YYYY-MM-DD
years = []
entries = []
for d in os.listdir(tdir):
if os.path.isdir(os.path.join(tdir, d)):
y, _, _ = d.split("-")
if y not in years:
years.append(y)
entries.append(d)
years.sort()
entries.sort()
# we need to create ReST files of the form YYYY.rst. These
# will each then contain the links to the entries for that
# year
for y in years:
y_entries = [q for q in entries if q.startswith(y)]
with open("{}.rst".format(y), "w") as yf:
yf.write("****\n")
yf.write("{}\n".format(y))
yf.write("****\n\n")
yf.write(".. toctree::\n")
yf.write(" :maxdepth: 2\n")
yf.write(" :caption: Contents:\n\n")
for entry in y_entries:
yf.write(" {}/{}.rst\n".format(entry, entry))
# now write the topic.rst
with open("{}.rst".format(topic), "w") as tf:
tf.write(len(topic)*"*" + "\n")
tf.write("{}\n".format(topic))
tf.write(len(topic)*"*" + "\n")
tf.write(".. toctree::\n")
tf.write(" :maxdepth: 2\n")
tf.write(" :caption: Contents:\n\n")
for y in years:
tf.write(" {}.rst\n".format(y))
# now write the index.rst
os.chdir(source_dir)
with open("index.rst", "w") as mf:
mf.write("Research Journal\n")
mf.write("================\n\n")
mf.write(".. toctree::\n")
mf.write(" :maxdepth: 2\n")
mf.write(" :caption: Contents:\n\n")
for topic in sorted(topics):
mf.write(" {}/{}\n".format(topic, topic))
mf.write("\n")
mf.write("Indices and tables\n")
mf.write("==================\n\n")
mf.write("* :ref:`genindex`\n")
mf.write("* :ref:`modindex`\n")
mf.write("* :ref:`search`\n")
# now do the building
build_dir = "{}/journal-{}/".format(defs["working_path"], defs["nickname"])
os.chdir(build_dir)
_, _, rc = shell_util.run("make html")
if rc != 0:
print("build may have been unsuccessful")
index = os.path.join(build_dir, "build/html/index.html")
# use webbrowser module
if show == 1:
webbrowser.open_new_tab(index)
| [
"michael.zingale@stonybrook.edu"
] | michael.zingale@stonybrook.edu |
20ae7bcc5afe279441ec8d3b9c315a60d9785feb | 0a3ef6195220f510ba962c25280b1848b63b858b | /Django_bbs/asgi.py | 62b376d760ffba23b0b66e2dc5e4b76f004fe1b6 | [] | no_license | wykuro/django_bbs | 4584659f42190b933fa26b5eea281b19a31a7885 | 01605676d6f79567c00f7e4aaadcc681014cf06e | refs/heads/master | 2022-11-19T06:48:26.081021 | 2020-07-28T08:56:21 | 2020-07-28T08:56:21 | 283,153,068 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 397 | py | """
ASGI config for Django_bbs project.
It exposes the ASGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/3.0/howto/deployment/asgi/
"""
import os
from django.core.asgi import get_asgi_application
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'Django_bbs.settings')
application = get_asgi_application()
| [
"2350199078@qq.com"
] | 2350199078@qq.com |
30a77a5b2a326c40c06e455066908091bac0870a | 53fab060fa262e5d5026e0807d93c75fb81e67b9 | /backup/user_113/ch44_2020_09_30_10_47_17_987015.py | f078ba9a9524ee5b166c21af69a4c0e35a23748f | [] | no_license | gabriellaec/desoft-analise-exercicios | b77c6999424c5ce7e44086a12589a0ad43d6adca | 01940ab0897aa6005764fc220b900e4d6161d36b | refs/heads/main | 2023-01-31T17:19:42.050628 | 2020-12-16T05:21:31 | 2020-12-16T05:21:31 | 306,735,108 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 207 | py | #x=True
lista = ['Janeiro','Fevereiro','Março','Abril','Maio','Junho','Julho','Agosto','Setembro','Outubro','Novembro','Dezembro']
#while x==True:
mes = input('Qual o mês? ')
print(lista[mes]) | [
"you@example.com"
] | you@example.com |
735b63875c4d13122c07d03e6bcdc3db602a5dc5 | 0282d9b7f865b74b5c7e8db1980ffec9b41b1a74 | /virtual/bin/epylint | 4b3605e0ce3a1ab03838bf5caac28f8798ff50b4 | [
"MIT"
] | permissive | aluoch-sheila/GALLERY | 3599ded0220144cfdcac403652e89593f2dcd5b4 | 3a910dc272ce5c731d5780749daeecec66bf2313 | refs/heads/master | 2020-04-10T03:32:47.755612 | 2018-12-13T06:52:00 | 2018-12-13T06:52:00 | 160,773,028 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 263 | #!/home/moringaschool/Django/my-gallery/virtual/bin/python
# -*- coding: utf-8 -*-
import re
import sys
from pylint import run_epylint
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(run_epylint())
| [
"aluochsheila1999@gmail.com"
] | aluochsheila1999@gmail.com | |
cefccb4e18a42354913c1b1a7008faa1c4c580dc | 50219c54e1e1ae1afb3844fe26bb24779c8939aa | /app/clients/email_send_client.py | 7ebf66266a323f76ba3bb0c56f173b9abede6db3 | [] | no_license | rajsshah23/brightwheel-interview-email-send | aac0de9a55ce95f45b280f9ac1c0bcbdfdbdaa71 | 86165ab65e976955bb9da4ee05ff2a653b2e3e4a | refs/heads/main | 2023-07-18T06:41:09.391399 | 2021-09-08T03:12:21 | 2021-09-08T03:12:21 | 403,364,540 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 673 | py | from fastapi import Depends
from app.dependencies import get_settings
from app.models.get_email_status_models import (
GetEmailStatusRequest,
GetEmailStatusResponse,
)
from app.models.send_email_models import SendEmailRequest, SendEmailResponse
from app.setup.settings import Settings
class EmailSendClient:
def __init__(self, settings: Settings = Depends(get_settings)):
self._settings: Settings = settings
def send_email(self, request: SendEmailRequest) -> SendEmailResponse:
raise NotImplemented()
def get_email_status(
self, request: GetEmailStatusRequest
) -> GetEmailStatusResponse:
raise NotImplemented()
| [
"rajsshah23@gmail.com"
] | rajsshah23@gmail.com |
0de0fd9a7e56f15a58adbac9a8208ed4548f3d5d | 988003149dd3cc82a554d38b2948b7a6dab7f0c5 | /161278031/3/3.py | 607d0268c8e7b1cc696cfc3d107849286369f7ec | [] | no_license | HomeworkNJU/Final | 894cb0a17349f39677dd6ede29781d98484a887a | 08906263f5c78e2d0a1828007bf15d6cd28e16d8 | refs/heads/master | 2020-03-20T01:00:33.201335 | 2018-06-20T04:04:41 | 2018-06-20T04:04:41 | 137,064,142 | 0 | 15 | null | 2018-06-20T04:04:42 | 2018-06-12T11:49:46 | Python | UTF-8 | Python | false | false | 1,172 | py | # -*- coding: utf-8 -*-
"""
Created on Wed Jun 20 10:15:36 2018
@author: lenovo
"""
def expense(price,count):
money=price*0.002
if(money<5):
money=5
money+=(count//1000)
money+=1
return money
m=int(input("please input the number of action:"))
action=[]
for i in range(0,m):
s=input().split()
action.append([int(s[0]),int(s[1]),int(s[2])])
n=int(input("input the change number:"))
change=[]
for i in range(0,n):
s=input().split()
change.append([int(s[0]),int(s[1])])
output=0
revenue=0
for i in range(0,len(action)):
for j in range(0,len(change)-1):
if(action[i][0]>=change[j][0] and action[i][0]<change[j+1][0]):
price=change[j][1]
break
if(action[i][0]>=change[len(change)-1][0]):
price=change[len(change)-1][1]
if(action[i][2]==1):
output+=price*action[i][1]*100
output+=expense(price*action[i][1]*100,action[i][1]*100)
else:
revenue+=price*action[i][1]*100
output+=expense(price*action[i][1]*100,action[i][1]*100)+price*action[i][1]*100*0.001
print("the allowance is: %.2f" %(revenue-output)) | [
"noreply@github.com"
] | HomeworkNJU.noreply@github.com |
39d0a5fa54916c6b31eed02202ea9ba9fa284bf2 | ad67b49b83d23ba2b0ade3da4db90d9b86d98650 | /kafka/archived_scripts/kafka_rss.py | a92f06572dfc8dfb949ad37341f01ac88aace4eb | [
"MIT"
] | permissive | peterhogan/python | f58d08a67991e2822795ee9689544d43cb8fecad | bc6764f7794a862ff0d138bad80f1d6313984dcd | refs/heads/master | 2021-01-01T18:41:50.338599 | 2017-05-13T07:51:54 | 2017-05-13T07:51:54 | 34,813,592 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,215 | py | #######################################
############### Imports ###############
#######################################
from lxml import etree
import os
############################################
############### Inital setup ###############
############################################
# specify the directory to pull feeds from (default from get_rss_feeds.py)
root_dir = 'newsfeeds/'
# verbose output or brief (True => Verbose, False => short output)
verbose = True
# descriptions flag
desc_on = True
####################################################
############### Defining the outputs ###############
####################################################
def simple_output(rss_file):
return
def full_output(root_title, root_builddate, item_titles, item_descs, item_pubdates, item_guids):
print(item_titles[i].text,"|",item_descs[i].text.split("<")[0],"|",rss_item_pubdates[i].text,"|",rss_item_guids[i].text,"|",rss_root_title[0].text)#,"|",rss_root_builddate[0].text)
return
# Function to print all the sources picked up in root_dir
def print_sources():
return
##################################################
############### Scraping XML files ###############
##################################################
for filerss in os.listdir(root_dir):
rss_file = etree.parse(root_dir + filerss)
rss_root_title = rss_file.xpath('//channel/title')
rss_root_builddate = rss_file.xpath('//channel/lastBuildDate')
rss_item_titles = rss_file.xpath('//channel/item/title')
rss_item_descs = rss_file.xpath('//channel/item/description')
rss_item_pubdates = rss_file.xpath('//channel/item/pubDate')
rss_item_guids = rss_file.xpath('//channel/item/guid')
for i in range(len(rss_item_titles)):
#print(rss_root_title[0].text)
print(rss_item_titles[i].text,"|",rss_item_descs[i].text,"|",rss_item_pubdates[i].text,"|",rss_item_guids[i].text,"|",rss_root_title[0].text)#,"|",rss_root_builddate[0].text)
'''
for i in range(len(rss_item_titles)):
print(rss_item_titles[i].text,"|",rss_item_descs[i].text,"|",rss_item_pubdates[i].text,"|",rss_item_guids[i].text,"|",rss_root_title[0].text)#,"|",rss_root_builddate[0].text)
'''
| [
"peterjameshogan@gmail.com"
] | peterjameshogan@gmail.com |
224efd07081d700cef2f4bff2f9f658dcccc15e2 | 256efb0e9ff8b7420b412c260e6c05cd7c52c5ce | /B/resolve.py | 5e0f2bb0fd1bde1c3ffc1f155dfc45171749a311 | [
"MIT"
] | permissive | staguchi0703/ABC176 | 37a85f6d83570967696712a98dd39e1f1a08b04b | 16f2f188ef5c73f85d08b028f14cd963b33d55af | refs/heads/master | 2022-12-07T18:15:02.659948 | 2020-08-24T15:00:29 | 2020-08-24T15:00:29 | 289,476,704 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 204 | py | def resolve():
'''
code here
'''
N = input()
sum_num = 0
for item in N:
sum_num += int(item)
if sum_num % 9 == 0:
print('Yes')
else:
print('No')
| [
"s.taguchi0703@gmail.com"
] | s.taguchi0703@gmail.com |
3a61fda2b382065093425824bfebb1070e29668e | e5d8a863c55bda022f9b21561d8594ce55c237b5 | /datamodel/tests.py | ad459397b4e90a1426a2e1d7b55f95385f15d5de | [] | no_license | artiimor/GatoRaton | 637fad7c883d084a9e433d76e22812cc8ff92963 | 84233e7102c319816f5d382b89788d3fec50ddc3 | refs/heads/master | 2020-08-29T17:14:12.764387 | 2019-12-14T11:14:03 | 2019-12-14T11:14:03 | 218,106,585 | 1 | 1 | null | 2019-12-14T11:04:48 | 2019-10-28T17:29:25 | Python | UTF-8 | Python | false | false | 976 | py | """
@author: rlatorre
"""
from django.contrib.auth.models import User
from django.test import TestCase
MSG_ERROR_INVALID_CELL = "Invalid cell for a cat or the mouse|Gato o ratón en posición no válida"
MSG_ERROR_GAMESTATUS = "Game status not valid|Estado no válido"
MSG_ERROR_MOVE = "Move not allowed|Movimiento no permitido"
MSG_ERROR_NEW_COUNTER = "Insert not allowed|Inseción no permitida"
class BaseModelTest(TestCase):
def setUp(self):
self.users = []
for name in ['cat_user_test', 'mouse_user_test']:
self.users.append(self.get_or_create_user(name))
@classmethod
def get_or_create_user(cls, name):
try:
user = User.objects.get(username=name)
except User.DoesNotExist:
user = User.objects.create_user(username=name, password=name)
return user
@classmethod
def get_array_positions(cls, game):
return [game.cat1, game.cat2, game.cat3, game.cat4, game.mouse]
| [
"amorcillop@gmail.com"
] | amorcillop@gmail.com |
ad4c71b1ccd1ad4b4495365ed76a0380fc1bfe1b | 9539a9704b14545f81b5c60b9f3087b0bdb9661d | /bin/dadl | afb0bf9ba307761bee028311ea20d143d68c5da9 | [
"MIT"
] | permissive | Galadirith/my-project-2 | b0ef9de6caf2ac65dead527835d03284a901ee4b | 5a2d71fc4c1c63d9479c7f57b0e5b335e2f664a3 | refs/heads/master | 2021-01-09T20:27:34.548747 | 2016-05-31T10:25:38 | 2016-05-31T10:25:38 | 60,062,635 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,276 | #! /usr/bin/env python
import sys
from dadownloader.auth import Auth
from dadownloader.favourites import Favourites
from getopt import getopt
try:
opts, args = getopt(sys.argv[1:], 'adfh', ['help'])
except:
print('Invalid options passed to dadl')
sys.exit()
download = {}
def usage():
print\
'''
dadl [options] <username>
Arguments:
<username> The username of the DeviantArt user whos favourites you want
to download.
Options:
-a Download the avatar of the creator of each deviations
-d Download the description of each deviation
-f Download the file (eg img file) associated with each deviation
-h --help Show dadl help menu (this screen)
'''
# Unpack command line options
for opt, value in opts:
# Download avatars?
if opt == '-a':
download['avatars'] = True
# Download descriptions?
if opt == '-d':
download['descriptions'] = True
# Download files?
if opt == '-f':
download['files'] = True
# Show help
if opt in ('-h', '--help'):
usage()
sys.exit()
if len(args) == 1:
session = Auth().auth()
favourites = Favourites(args[0], session, **download)
else:
print('Wrong number of arguments: %i' % (len(sys.argv)-1))
| [
"edward.fauchon.jones@gmail.com"
] | edward.fauchon.jones@gmail.com | |
611a492f714cd96b2ba9c94b3644617e50c8c6ce | 86294539ffa65b34a862b200c84ee068187dc743 | /do2things/manage.py | 78b2063220ba03afa6e0bd0a501b0280f45ed107 | [
"MIT"
] | permissive | tlake/do2things | 6acb4f43990b0d0e4a9b80090e21246c1d39398a | 4e83bea1fc579006200e9ca3a627c1bc04a6a53b | refs/heads/master | 2021-01-21T04:24:57.108087 | 2016-08-22T08:56:11 | 2016-08-22T08:56:11 | 39,576,039 | 0 | 0 | null | 2015-08-27T01:28:15 | 2015-07-23T15:40:53 | JavaScript | UTF-8 | Python | false | false | 252 | py | #!/usr/bin/env python
import os
import sys
if __name__ == "__main__":
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "do2things.settings")
from django.core.management import execute_from_command_line
execute_from_command_line(sys.argv)
| [
"tanner.lake@gmail.com"
] | tanner.lake@gmail.com |
292069701c70dfc1310c0ae3d406323bae424447 | 41679cbf83a1339e26513ce1aee09eef9f9b7629 | /tests/dependency-classic/setup.py | 2fb80d725a7ccc6993867726b137062c62503e12 | [
"MIT"
] | permissive | mtkennerly/poetry-dynamic-versioning | db68eb7a3487e042c12820e65844335b62ba9bd4 | 322fe62f5a5270d324ca8a12b42224f67e822d2e | refs/heads/master | 2023-07-20T10:30:17.257360 | 2023-07-11T15:50:51 | 2023-07-11T15:50:51 | 190,498,619 | 486 | 31 | MIT | 2023-09-05T01:33:23 | 2019-06-06T02:13:29 | Python | UTF-8 | Python | false | false | 117 | py | from setuptools import setup
setup(name="dependency-classic", version="0.0.666", py_modules=["dependency_classic"])
| [
"mtkennerly@gmail.com"
] | mtkennerly@gmail.com |
dde187738c41353c5e9b347c6b755e131134564e | 05fbf2dd9512528675867d1bf525b4bfb947816b | /main.py | 4291e4bbfb32bbf6393874f49faa690cebad8523 | [] | no_license | kimmobrunfeldt/kauko | efb46eea1a1ab9c1bdfd92436a88d5daba4f3e38 | cbc0af6ec6b3aa1d9f717172d984c89f2a9eded2 | refs/heads/master | 2023-09-05T23:14:32.547518 | 2013-01-20T11:55:36 | 2013-01-20T11:55:36 | 7,545,552 | 1 | 1 | null | 2013-01-16T22:23:42 | 2013-01-10T17:41:25 | JavaScript | UTF-8 | Python | false | false | 3,814 | py | #!/usr/bin/env python
"""
Kauko server. Must be run as super user.
Usage:
sudo python main.py -v -d
sudo python main.py -p 8080
Options:
-h --help Prints this help.
-v --verbose Used commands are printed to console.
-d --debug Debug information is printed to console.
-p --port=<port> Web server's listening port.
"""
import logging
import socket
import sys
from gevent import pywsgi
import kauko.wsgiserver as wsgiserver
def setup_logging(root_logger, level=logging.DEBUG):
if root_logger.handlers:
for handler in root_logger.handlers:
root_logger.removeHandler(handler)
if level == logging.DEBUG:
format = '%(asctime)-15s %(name)-15s %(levelname)-8s %(message)s'
else:
format = '%(message)s'
formatter = logging.Formatter(format)
root_logger.setLevel(level)
console_handler = logging.StreamHandler(sys.stdout)
console_handler.setFormatter(formatter)
console_handler.setLevel(level)
root_logger.addHandler(console_handler)
def get_ip_address():
"""Tries to find the ip address of the interface currently used."""
try:
s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
s.connect(("8.8.8.8", 80))
ip_address = s.getsockname()[0]
s.close()
except socket.error:
ip_address = socket.gethostbyname(socket.gethostname())
return ip_address
class NullLog(object):
"""gevent writes directly to stdout, give instance of this class to gevent
and it will shut up. Errors are still written to stderr though.
"""
def write(self, *args, **kwargs):
pass
def main():
argv = sys.argv[1:]
if '-h' in argv or '--help' in argv:
print(__doc__.strip())
sys.exit(0)
port = 80
# Parse port from arguments
success = True
for param in ['-p', '--port']:
if param in argv:
# Find the index of -p or --port from argv list
try:
i = argv.index(param)
except ValueError:
success = False
break
# Try to convert the following argument to port number.
try:
port = int(argv[i + 1])
if not 1 <= port <= 65535:
raise ValueError # Invalid port number
except (ValueError, IndexError):
success = False
break
if not success:
print('Error: Invalid port number.\nUse number between 1-65535.')
sys.exit(1)
verbose_flag = '-v' in argv or '--verbose' in argv
debug_flag = '-d' in argv or '--debug' in argv
logging_level = logging.WARNING
if verbose_flag:
logging_level = logging.INFO
# If debug is specified, it overrides the verbose flag.
if debug_flag:
logging_level = logging.DEBUG
setup_logging(logging.getLogger(''), level=logging_level)
print('\nKauko is now started, quit the program by pressing Ctrl - C')
ip_address = get_ip_address()
if not ip_address.startswith('127'):
print('\nOpen the following address in your browser:')
address = 'http://%s' % ip_address
if port != 80:
address += ':%s' % port
print(address)
else:
print('\nCouldn\'t resolve your ip address.')
# Serve static files and routes with wsgi app
if logging_level > logging.DEBUG:
log = NullLog()
else:
log = 'default' # Uses gevent's default logging -> stdout
http_server = pywsgi.WSGIServer(('0.0.0.0', port), wsgiserver.main_app,
log=log)
http_server.serve_forever()
if __name__ == '__main__':
try:
main()
except KeyboardInterrupt:
print('Quit.\n')
| [
"kimmobrunfeldt@gmail.com"
] | kimmobrunfeldt@gmail.com |
aabf23c2151534f4a361ed928fa3088942a201fb | cc7e0827e14f37331c6bd7f821a3e062e2fc7e9d | /houses/migrations/0006_auto_20211004_2059.py | 8052304ef74e91c4354fcf6de4383bf8e909c6fc | [] | no_license | kudawoo2002/Ayelevi-estat | f8b7e43170d04ce3f64ca78269118f6df2248928 | 46fa19883aa360782f35e1c2b0d07233839350f4 | refs/heads/main | 2023-09-04T08:43:04.387373 | 2021-10-12T18:18:29 | 2021-10-12T18:18:29 | 416,324,409 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 661 | py | # Generated by Django 3.2.7 on 2021-10-04 20:59
from django.db import migrations, models
import django.utils.timezone
class Migration(migrations.Migration):
dependencies = [
('houses', '0005_rename_sale_type_seller_seller_type'),
]
operations = [
migrations.AddField(
model_name='house',
name='garage',
field=models.IntegerField(default=0),
preserve_default=False,
),
migrations.AddField(
model_name='seller',
name='email',
field=models.CharField(default=0, max_length=200),
preserve_default=False,
),
]
| [
"kudawoo2002@gmail.com"
] | kudawoo2002@gmail.com |
9958bee7ab67e7e9f94c168f40fd987b1ed06256 | 33ff78109f47d6efe1f3fd334733b8404472277c | /sketch_191203a.pyde | e2b3368b2b203a216e96563ca7a9fb8930c24d55 | [
"MIT"
] | permissive | jadejieheng/processing.py-learning | ef29ad5d8f704461e2fb3486b8437a6467094738 | aef8b990f4eec4a39def7c6444f7bea4753831a2 | refs/heads/master | 2020-09-23T11:44:24.663341 | 2019-12-16T23:46:47 | 2019-12-16T23:46:47 | 225,493,387 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,570 | pyde | """ pusedocode
c = color(0)
x = 0.0
y = 100.0
speed = 1.0
def setup():
size(500, 500)
def draw():
background(255)
move()
display()
def move():
global x
x = x + speed
if x > width:
x = 0
def display():
fill(c)
rect(x, y, 150, 50)
"""
""" rewrite the structure, object oriented
class Car(object):#class name, data(global variables)
def __init__(self): #initializing data
self.c = color(255)
self.x = 100
self.y = 100
self.xspeed = 1
def display(self): #functionality
rectMode(CENTER)
fill(self.c)
rect(self.x, self.y, 100, 50)
def drive(self): #functionality
self.x += self.xspeed
if self.x > width:
self.x = 0
Note that the code for a class exists as its own block
and can be placed anywhere outside of setup() and draw(),
as long as it's defined before you use it.
myCar = Car() #drive() must be called with Car instance as first argument
#Car is a class, myCar = Car() is an instance
#Car.drive() is not an argument
def setup():
size(1000,1000)
def draw():
background(255)
myCar.drive()
myCar.display()
result is one
"""
"""using the object"""
class Car(object):#class name
def __init__(self, c, x, y, xspeed, yspeed): #initializing data
self.c = c
self.x = x
self.y = y
self.xspeed = xspeed
self.yspeed = yspeed
def display(self): #functionality
noStroke()
rectMode(CENTER)
fill(self.c)
rect(self.x, self.y, 200, 100)
def drive(self): #functionality
self.x += self.xspeed
if self.x > width: #this loop runs for +speed
self.x = 0
if self.x < 0: #this loop runs for -speed
self.x = width
self.y += self.yspeed# this has no loop
#myCar = Car() #initializing an object/object instantiation
#object instantiation
myCar1 = Car(color(204,14,66), 1000, 650, -5, 0)
myCar2 = Car(color(33,45,201), 0, 350, 2, 0)
myCar3 = Car(color(234,164,0), 500, 0, 0, 2)
def setup():
size(1000,1000)
def draw():
background(255)
myCar1.drive() # Functions are called with the "dot syntax".
myCar1.display()
myCar2.drive()
myCar2.display()
myCar3.drive()
myCar3.display()
| [
"noreply@github.com"
] | jadejieheng.noreply@github.com |
b422f8f7fab0c031a2544141bf37274393b39d00 | 24192756f1275986078c083412ee0b209bae649f | /donghee_project/donghee_project/urls.py | 2de9d8f673a9a270dad68cc545cab23c2460ba4e | [] | no_license | penpen-dongE/django_todolist_project | 0128498a7a9973d4fffefbf320d77044b6916530 | ceeb5d249d7988677b55a690ee92fb74257e311c | refs/heads/master | 2022-05-10T03:24:18.132484 | 2020-04-23T12:13:48 | 2020-04-23T12:13:48 | 255,940,607 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,432 | py | """donghee_project URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.0/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-based views
1. Add an import: from other_app.views import Home
2. Add a URL to urlpatterns: path('', Home.as_view(), name='home')
Including another URLconf
1. Import the include() function: from django.urls import include, path
2. Add a URL to urlpatterns: path('blog/', include('blog.urls'))
"""
from django.contrib import admin
from django.urls import path
from home.views import home_view
from home.views import quote_view
from home.views import var_view
from home.views import nums_view
from todo.views import todo_view
from todo.views import todo_progress_view
from todo.views import delete_todo
from django.conf.urls.static import static
urlpatterns = [
path('admin/', admin.site.urls),
path('', home_view),
path('quote/', quote_view),
path('var/', var_view),
path('num/', nums_view),
path('todos/', todo_view, name="todos"),
path('todos/in_progress', todo_progress_view, name="todos_in_progress"),
path('todos/<pk>/delete', delete_todo, name="todo_del"),
]
# urlpatterns += \
# static(settings.STATIC_URL, document_root=settings.STATIC_ROOT)
| [
"dongheepark.dev@gmail.com"
] | dongheepark.dev@gmail.com |
3d2281ceea099e3636a2d5593f4e69d3ab66ddbf | c7846ee0828539c2a2019928c1cbf3abd35665bf | /1226.py | e40445bed21211b32f058a29fb64d1cef368c25a | [] | no_license | whiteblue0/sw_problems | 10476601c8d6d68d42e2f30af87fcde1e5dbbcc5 | 1cefc6236cccc20477bf4eadb458a0fd06b09126 | refs/heads/master | 2020-06-20T10:44:57.463275 | 2020-05-03T07:27:57 | 2020-05-03T07:27:57 | 197,098,448 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 881 | py | import sys
sys.stdin = open('1226.txt')
def ispass(y,x):
if 0<=y<L and 0<=x<L and data[y][x] != 1 and visited[y][x] == 0:
return True
else:
return False
def DFS(sy,sx):
global end
visited[sy][sx] = 1
if data[sy][sx] == 3:
end = 1
for i in range(4):
ny = sy + dy[i]
nx = sx + dx[i]
if ispass(ny, nx):
visited[ny][nx] = 1
DFS(ny,nx)
# 우하좌상
dy = [0,1,0,-1]
dx = [1,0,-1,0]
T = 10
for tc in range(1,T+1):
N = int(input())
L = 16
data = [list(map(int, input())) for _ in range(L)]
visited = [[0]*L for _ in range(L)]
for i in range(L):
for j in range(L):
if data[i][j] == 2:
start = (i,j)
end = 0
DFS(start[0],start[1])
# for i in range(L):
# print(visited[i])
print('#{} {}'.format(tc,end)) | [
"21port@naver.com"
] | 21port@naver.com |
0296d247cff0d46ffe781196db159f2dc53ad9a7 | 0dc3e9b70da8ccd056e0a0fab2b1d8f850c3d470 | /lantern/django/django_celery/src/apps/dealers/models.py | bc779127742bd20a2e9942ebdd4779103f3156e4 | [] | no_license | ArturYefriemov/green_lantern | 28e7150af7b9d2281a107ad80026828ad77af62a | 2841b647e1bfae4a7505e91e8a8695d03f35a3a2 | refs/heads/master | 2021-03-01T16:54:58.881835 | 2020-11-17T19:42:23 | 2020-11-17T19:42:23 | 245,799,969 | 0 | 0 | null | 2020-07-14T18:51:13 | 2020-03-08T11:13:32 | Python | UTF-8 | Python | false | false | 735 | py | from django.contrib.auth.models import AbstractUser
from django.db import models
# Create your models here.
class Country(models.Model):
name = models.CharField(max_length=32, unique=True)
class City(models.Model):
name = models.CharField(max_length=32, db_index=True)
country = models.ForeignKey(to='Country', on_delete=models.CASCADE, null=True)
class Address(models.Model):
address1 = models.CharField(max_length=128)
address2 = models.CharField(max_length=128, blank=True)
zip_code = models.PositiveSmallIntegerField()
city = models.ForeignKey(to='City', on_delete=models.CASCADE)
class Dealer(AbstractUser):
address = models.ForeignKey(to='Address', on_delete=models.CASCADE, null=True)
| [
"odarchenko@ex.ua"
] | odarchenko@ex.ua |
bddfab9694013cb5361590adc0e4269290af1cec | b82ebabc2568e34ba1db516abd5bb978fda69f2c | /Forming/urls.py | e0ed48947301b255a855f3ffcb08fce25ff8ab42 | [] | no_license | msreenathreddy67/farming | 3996f19f16a0e689e890687a661ffed46f63d58d | 9d727f0297b0fa444da8b7383d84ba3f43decded | refs/heads/main | 2023-06-17T07:29:07.520940 | 2021-07-09T11:04:17 | 2021-07-09T11:04:17 | 384,410,129 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 863 | py | """Forming URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.1/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-based views
1. Add an import: from other_app.views import Home
2. Add a URL to urlpatterns: path('', Home.as_view(), name='home')
Including another URLconf
1. Import the include() function: from django.urls import include, path
2. Add a URL to urlpatterns: path('blog/', include('blog.urls'))
"""
from django.contrib import admin
from django.urls import path
from app import views
urlpatterns = [
path('admin/', admin.site.urls),
path('index/',views.index,name='index'),
path('about/',views.about,name='about')
]
| [
"msreenathreddy67@gmail.com"
] | msreenathreddy67@gmail.com |
e1a1de36048d93300f9e84f3959504ed9e7d628d | 35a2268f7f004ecd4c834eed7a68b54980a2a157 | /action sequence generation.py | 3658289acb07e626f917a29fea0775543bdae9db | [] | no_license | akagrecha/action-sequence-generation | cefa768b6250dd9968ad7e2068b991d94d7379bf | 46ff1a7019d015709832e24c2244106d2dfb9fc7 | refs/heads/master | 2021-01-20T17:33:52.601183 | 2016-06-23T05:13:54 | 2016-06-23T05:13:54 | 61,200,018 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,314 | py | import cv2
import argparse
def action_sequence_generator(video,
gblur_ksize_width=21, gblur_ksize_height=21, gblur_sigmaX=0,
fg_mask_lower_threshold=50, fg_mask_upper_threshold=255,
required_frames=8):
"""
Action Sequence Generator converts a video containing an action sequence
to an image that has the action sequence in it.
Algorithm
_________
1. Foreground Extraction: A foreground mask is generated by thresholding a delta image of
the first frame and the current frame.
The foreground mask is applied to the frame to get foreground frames.
Similarly, a background frames are also generated.
2. Recombination: The foreground frames and background frames are saved in an array.
Selected foreground and background frames undergo bitwise operations for recombination.
Finally, they are combined to get the result.
Note
____
The algorithm for foreground extraction works properly when the first frame contains the background only i.e.
the foreground object is not visible in the first frame.
Function Signature
__________________
: param video: the video file with an action sequence in it.
: param gblur_ksize_width: kernel size width for the gaussian blur applied on the frame
: param gblur_ksize_height: kernel size height for the gaussian blur applied on the frame
: param gblur_ksize_sigmaX: Gaussian kernel standard deviation in X direction
: param fg_mask_lower_threshold: Lower threshold applied to the delta image to generate foreground mask
: param fg_mask_upper_threshold: Upper threshold applied to the delta image to generate foreground mask
: param required_frames: Number of frames to be considered while generating the result
: return: image having the action sequence of the given video
Authors
_______
Anmol Kagrecha
Ranveer Aggarwal
"""
cap = cv2.VideoCapture(video)
first_frame = None
img_foreground_frames = []
img_background_frames = []
number_of_frames = int(cap.get(7))
while 1:
ret, frame = cap.read()
if ret == 0:
break
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
gray = cv2.GaussianBlur(gray, (gblur_ksize_width, gblur_ksize_height), gblur_sigmaX)
if first_frame is None:
first_frame = gray
continue
# difference of current frame and the first frame
frame_delta = cv2.absdiff(first_frame, gray)
# foreground mask and background mask
foreground_mask = cv2.threshold(frame_delta, fg_mask_lower_threshold, fg_mask_upper_threshold,
cv2.THRESH_BINARY)[1]
background_mask = cv2.bitwise_not(foreground_mask)
# foreground and background
foreground = cv2.bitwise_and(frame, frame, mask=foreground_mask)
background = cv2.bitwise_and(frame, frame, mask=background_mask)
# appending foreground and background to the arrays
img_foreground_frames.append(foreground)
img_background_frames.append(background)
cap.release()
# frame numbers generated for the result
frame_numbers = [i for i in range(0, number_of_frames + 1, int(number_of_frames/required_frames))]
foreground_combined = img_foreground_frames[0]
background_combined = img_background_frames[0]
# recombination operations to generate the result
for i in frame_numbers:
foreground_combined = cv2.bitwise_or(img_foreground_frames[i], foreground_combined)
background_combined = cv2.bitwise_and(img_background_frames[i], background_combined)
result = cv2.bitwise_or(foreground_combined, background_combined)
# uncomment to view the result
"""
cv2.namedWindow('result', 0)
cv2.imshow('result', result)
cv2.waitKey(0) & 0xFF
cv2.destroyAllWindows()
"""
return result
ap = argparse.ArgumentParser()
ap.add_argument("-v", "--video", help="path to the video file")
args = vars(ap.parse_args())
if args.get("video") is None:
print("file not found")
else:
action_sequence_generator(args["video"])
| [
"akagrecha@gmail.com"
] | akagrecha@gmail.com |
a0a0950be83e34b71b9196a40ad2399172c4477c | 9636c75094a251fc931774c967df135b31012101 | /school_mgnt/wsgi.py | a09c0a72615f55cd2c45d10991c74db785214fe0 | [] | no_license | bimal125/school_mgnt | 9e33bb7f9ae580292eb687dc4955bc54c07a8bd8 | 01fd33cb2547494cda2213061af443e706dc92d9 | refs/heads/master | 2022-12-10T00:53:13.106358 | 2020-08-27T15:07:05 | 2020-08-27T15:07:05 | 205,401,910 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 399 | py | """
WSGI config for school_mgnt project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/2.2/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'school_mgnt.settings')
application = get_wsgi_application()
| [
"pandeybi125@gmail.com"
] | pandeybi125@gmail.com |
0f12e75f326736ce1da7a7a6b1fb5297088bafd5 | 5bfbf31332a5c4750ab57d305f400aa5e20bf6bd | /contrib/great_expectations_zipcode_expectations/great_expectations_zipcode_expectations/expectations/expect_column_values_to_be_valid_utah_zip.py | 5c11f0c756f7c389107ebd4a9b7e6f5e7f2270a7 | [
"Apache-2.0"
] | permissive | alexsherstinsky/great_expectations | 9d4ae4c06546c5ab2ee0d04fb7840e3515c25677 | 2fc4bb36a5b3791c8ada97c5364531cd7510d4ed | refs/heads/develop | 2023-08-04T13:13:38.978967 | 2023-07-24T18:29:46 | 2023-07-24T18:29:46 | 203,888,556 | 1 | 0 | Apache-2.0 | 2020-07-27T09:12:21 | 2019-08-22T23:31:19 | Python | UTF-8 | Python | false | false | 5,481 | py | from typing import Optional
import zipcodes
from great_expectations.core.expectation_configuration import ExpectationConfiguration
from great_expectations.execution_engine import PandasExecutionEngine
from great_expectations.expectations.expectation import ColumnMapExpectation
from great_expectations.expectations.metrics import (
ColumnMapMetricProvider,
column_condition_partial,
)
def is_valid_utah_zip(zip: str):
list_of_dicts_of_utah_zips = zipcodes.filter_by(state="UT")
list_of_utah_zips = [d["zip_code"] for d in list_of_dicts_of_utah_zips]
if len(zip) > 10:
return False
elif type(zip) != str:
return False
elif zip in list_of_utah_zips:
return True
else:
return False
# This class defines a Metric to support your Expectation.
# For most ColumnMapExpectations, the main business logic for calculation will live in this class.
class ColumnValuesToBeValidUtahZip(ColumnMapMetricProvider):
# This is the id string that will be used to reference your metric.
condition_metric_name = "column_values.valid_utah_zip"
# This method implements the core logic for the PandasExecutionEngine
@column_condition_partial(engine=PandasExecutionEngine)
def _pandas(cls, column, **kwargs):
return column.apply(lambda x: is_valid_utah_zip(x))
# This method defines the business logic for evaluating your metric when using a SqlAlchemyExecutionEngine
# @column_condition_partial(engine=SqlAlchemyExecutionEngine)
# def _sqlalchemy(cls, column, _dialect, **kwargs):
# raise NotImplementedError
# This method defines the business logic for evaluating your metric when using a SparkDFExecutionEngine
# @column_condition_partial(engine=SparkDFExecutionEngine)
# def _spark(cls, column, **kwargs):
# raise NotImplementedError
# This class defines the Expectation itself
class ExpectColumnValuesToBeValidUtahZip(ColumnMapExpectation):
"""Expect values in this column to be valid Utah zipcodes.
See https://pypi.org/project/zipcodes/ for more information.
"""
# These examples will be shown in the public gallery.
# They will also be executed as unit tests for your Expectation.
examples = [
{
"data": {
"valid_utah_zip": ["84001", "84320", "84713", "84791"],
"invalid_utah_zip": ["-10000", "1234", "99999", "25487"],
},
"tests": [
{
"title": "basic_positive_test",
"exact_match_out": False,
"include_in_gallery": True,
"in": {"column": "valid_utah_zip"},
"out": {"success": True},
},
{
"title": "basic_negative_test",
"exact_match_out": False,
"include_in_gallery": True,
"in": {"column": "invalid_utah_zip"},
"out": {"success": False},
},
],
}
]
# This is the id string of the Metric used by this Expectation.
# For most Expectations, it will be the same as the `condition_metric_name` defined in your Metric class above.
map_metric = "column_values.valid_utah_zip"
# This is a list of parameter names that can affect whether the Expectation evaluates to True or False
success_keys = ("mostly",)
# This dictionary contains default values for any parameters that should have default values
default_kwarg_values = {}
def validate_configuration(
self, configuration: Optional[ExpectationConfiguration] = None
) -> None:
"""
Validates that a configuration has been set, and sets a configuration if it has yet to be set. Ensures that
necessary configuration arguments have been provided for the validation of the expectation.
Args:
configuration (OPTIONAL[ExpectationConfiguration]): \
An optional Expectation Configuration entry that will be used to configure the expectation
Returns:
None. Raises InvalidExpectationConfigurationError if the config is not validated successfully
"""
super().validate_configuration(configuration)
configuration = configuration or self.configuration
# # Check other things in configuration.kwargs and raise Exceptions if needed
# try:
# assert (
# ...
# ), "message"
# assert (
# ...
# ), "message"
# except AssertionError as e:
# raise InvalidExpectationConfigurationError(str(e))
# This object contains metadata for display in the public Gallery
library_metadata = {
"maturity": "experimental", # "experimental", "beta", or "production"
"tags": [
"hackathon",
"typed-entities",
], # Tags for this Expectation in the Gallery
"contributors": [ # Github handles for all contributors to this Expectation.
"@luismdiaz01",
"@derekma73", # Don't forget to add your github handle here!
],
"requirements": ["zipcodes"],
}
if __name__ == "__main__":
ExpectColumnValuesToBeValidUtahZip().print_diagnostic_checklist()
| [
"noreply@github.com"
] | alexsherstinsky.noreply@github.com |
de172a8f044e0de1b739d483985f14cd2fb74c27 | 2d7d5673d78d6ef682e88845eab99dddd8fc0927 | /pybaseball/pybaseball/league_pitching_stats.py | cc3eb29485ad7ce43526b1c031e88f3b522029c8 | [
"MIT"
] | permissive | BunkyFeats/MLBpy | 764026d42afcdd979084b28d851a7d536a0ac70d | d035f904bea08fb73545b333d6f3448b1cb20ab0 | refs/heads/master | 2021-04-26T23:40:06.190324 | 2018-03-04T22:35:48 | 2018-03-04T22:35:48 | 123,835,303 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,262 | py | import requests
import pandas as pd
import numpy as np
import io
from bs4 import BeautifulSoup
import datetime
def validate_datestring(date_text):
try:
datetime.datetime.strptime(date_text, '%Y-%m-%d')
except ValueError:
raise ValueError("Incorrect data format, should be YYYY-MM-DD")
def sanitize_input(start_dt, end_dt):
# if no dates are supplied, assume they want yesterday's data
# send a warning in case they wanted to specify
if start_dt is None and end_dt is None:
today = datetime.datetime.today()
start_dt = (today - datetime.timedelta(1)).strftime("%Y-%m-%d")
end_dt = today.strftime("%Y-%m-%d")
print("Warning: no date range supplied. Returning yesterday's data. For a different date range, try pitching_stats_range(start_dt, end_dt) or pitching_stats(season).")
#if only one date is supplied, assume they only want that day's stats
#query in this case is from date 1 to date 1
if start_dt is None:
start_dt = end_dt
if end_dt is None:
end_dt = start_dt
#if end date occurs before start date, swap them
if end_dt < start_dt:
temp = start_dt
start_dt = end_dt
end_dt = temp
# now that both dates are not None, make sure they are valid date strings
validate_datestring(start_dt)
validate_datestring(end_dt)
return start_dt, end_dt
def get_soup(start_dt, end_dt):
# get most recent standings if date not specified
if((start_dt is None) or (end_dt is None)):
print('Error: a date range needs to be specified')
return None
url = "http://www.baseball-reference.com/leagues/daily.cgi?user_team=&bust_cache=&type=p&lastndays=7&dates=fromandto&fromandto={}.{}&level=mlb&franch=&stat=&stat_value=0".format(start_dt, end_dt)
s = requests.get(url).content
return BeautifulSoup(s, "html.parser")
def get_table(soup):
table = soup.find_all('table')[0]
data = []
headings = [th.get_text() for th in table.find("tr").find_all("th")][1:]
data.append(headings)
table_body = table.find('tbody')
rows = table_body.find_all('tr')
for row in rows:
cols = row.find_all('td')
cols = [ele.text.strip() for ele in cols]
data.append([ele for ele in cols])
data = pd.DataFrame(data)
data = data.rename(columns=data.iloc[0])
data = data.reindex(data.index.drop(0))
return data
def pitching_stats_range(start_dt=None, end_dt=None):
"""
Get all pitching stats for a set time range. This can be the past week, the
month of August, anything. Just supply the start and end date in YYYY-MM-DD
format.
"""
# ensure valid date strings, perform necessary processing for query
start_dt, end_dt = sanitize_input(start_dt, end_dt)
if datetime.datetime.strptime(start_dt, "%Y-%m-%d").year < 2008:
raise ValueError("Year must be 2008 or later")
if datetime.datetime.strptime(end_dt, "%Y-%m-%d").year < 2008:
raise ValueError("Year must be 2008 or later")
# retrieve html from baseball reference
soup = get_soup(start_dt, end_dt)
table = get_table(soup)
table = table.dropna(how='all') # drop if all columns are NA
#fix some strange formatting for percentage columns
table = table.replace('---%', np.nan)
#make sure these are all numeric
for column in ['Age', '#days', 'G', 'GS', 'W', 'L', 'SV', 'IP', 'H',
'R', 'ER', 'BB', 'SO', 'HR', 'HBP', 'ERA', 'AB', '2B',
'3B', 'IBB', 'GDP', 'SF', 'SB', 'CS', 'PO', 'BF', 'Pit',
'WHIP', 'BAbip', 'SO9', 'SO/W']:
table[column] = pd.to_numeric(table[column])
#convert str(xx%) values to float(0.XX) decimal values
for column in ['Str', 'StL', 'StS', 'GB/FB', 'LD', 'PU']:
table[column] = table[column].replace('%','',regex=True).astype('float')/100
table = table.drop('',1)
return table
def pitching_stats_bref(season=None):
"""
Get all pitching stats for a set season. If no argument is supplied, gives stats for
current season to date.
"""
if season is None:
season = datetime.datetime.today().strftime("%Y")
season = str(season)
start_dt = season + '-03-01' #opening day is always late march or early april
end_dt = season + '-11-01' #season is definitely over by November
return(pitching_stats_range(start_dt, end_dt))
def bwar_pitch(return_all=False):
"""
Get data from war_daily_pitch table. Returns WAR, its components, and a few other useful stats.
To get all fields from this table, supply argument return_all=True.
"""
url = "http://www.baseball-reference.com/data/war_daily_pitch.txt"
s = requests.get(url).content
c=pd.read_csv(io.StringIO(s.decode('utf-8')))
if return_all:
return c
else:
cols_to_keep = ['name_common', 'mlb_ID', 'player_ID', 'year_ID', 'team_ID', 'stint_ID', 'lg_ID',
'G', 'GS', 'RA','xRA', 'BIP', 'BIP_perc','salary', 'ERA_plus', 'WAR_rep', 'WAA',
'WAA_adj','WAR']
return c[cols_to_keep]
| [
"noreply@github.com"
] | BunkyFeats.noreply@github.com |
f9d9118938a3ba4499fe9302991d70005635b133 | b88dbcf3619dd3af4896b4b15432ae2b2d390665 | /main.py | 59c59c21694156ed16b7333845e17b06d0bfdf16 | [] | no_license | msubzero2000/bayesian-optimisation-metaflow-optuna | a43ccdb0150fde6ae7571798549210113826c0ea | 00bda310bbe7ce42470acfc5d90198f27ad9c5d2 | refs/heads/main | 2023-08-06T03:27:55.980813 | 2021-10-06T07:22:19 | 2021-10-06T07:22:19 | 413,768,301 | 10 | 1 | null | null | null | null | UTF-8 | Python | false | false | 4,302 | py | """
Optuna example that optimizes a classifier configuration for cancer dataset using
Catboost.
In this example, we optimize the validation accuracy of cancer detection using
Catboost. We optimize both the choice of booster model and their hyperparameters.
"""
import logging
from datetime import datetime, timedelta
from metaflow import FlowSpec, step, S3, current, resources, conda_base, Parameter, batch, project
logging.basicConfig(format='%(asctime)s : %(levelname)s : %(message)s', level=logging.INFO)
@conda_base(libraries={'catboost': '0.26.1',
'optuna': '2.9.1',
'scikit-learn': '1.0',
'sqlalchemy': '1.4.22',
'psycopg2-binary':'2.9.1'})
class Optimisation(FlowSpec):
def objective(self, trial):
import optuna
import numpy as np
import catboost as cb
from sklearn.datasets import load_breast_cancer
from sklearn.metrics import accuracy_score
from sklearn.model_selection import train_test_split
data, target = load_breast_cancer(return_X_y=True)
train_x, valid_x, train_y, valid_y = train_test_split(data, target, test_size=0.3)
param = {
"objective": trial.suggest_categorical("objective", ["Logloss", "CrossEntropy"]),
"colsample_bylevel": trial.suggest_float("colsample_bylevel", 0.01, 0.1),
"depth": trial.suggest_int("depth", 1, 12),
"boosting_type": trial.suggest_categorical("boosting_type", ["Ordered", "Plain"]),
"bootstrap_type": trial.suggest_categorical(
"bootstrap_type", ["Bayesian", "Bernoulli", "MVS"]
),
"used_ram_limit": "3gb",
}
if param["bootstrap_type"] == "Bayesian":
param["bagging_temperature"] = trial.suggest_float("bagging_temperature", 0, 10)
elif param["bootstrap_type"] == "Bernoulli":
param["subsample"] = trial.suggest_float("subsample", 0.1, 1)
gbm = cb.CatBoostClassifier(**param)
gbm.fit(train_x, train_y, eval_set=[(valid_x, valid_y)], verbose=0, early_stopping_rounds=100)
preds = gbm.predict(valid_x)
pred_labels = np.rint(preds)
accuracy = accuracy_score(valid_y, pred_labels)
return accuracy
@batch(cpu=4)
@step
def start(self):
import optuna
from distributed_optuna import DistributedOptuna, DistributedOptunaInfo, DistributedOptunaWorkerInfo
info = DistributedOptuna.create(num_workers=10, num_trials=10, timeout=600, study_name_prefix="catboost")
print(f"Creating study {info.study_name} with {len(info.workers_info)} workers")
study = optuna.create_study(direction="maximize", study_name=info.study_name, storage=info.storage)
self.optimisation_params = info.workers_info
self.next(self.optimise, foreach="optimisation_params")
@batch(cpu=4)
@step
def optimise(self):
import optuna
from distributed_optuna import DistributedOptuna, DistributedOptunaInfo, DistributedOptunaWorkerInfo
study = optuna.load_study(study_name=self.input.study_name, storage=self.input.storage)
study.optimize(self.objective, n_trials=self.input.num_trials, timeout=self.input.timeout)
print("Number of finished trials: {}".format(len(study.trials)))
print("Record Best trial:")
# Record this worker's best trial
self.trial = study.best_trial
self.next(self.join)
@step
def join(self, inputs):
# Find the global best trial amongst worker's best trial
best_trial = None
best_trial_value = 0
for input in inputs:
cur_best_trial = input.trial
print(f"Best trial for this worker {cur_best_trial.value}")
if best_trial is None or cur_best_trial.value > best_trial_value:
best_trial = cur_best_trial
best_trial_value = cur_best_trial.value
print("Value: {}".format(best_trial.value))
print("Params: ")
for key, value in best_trial.params.items():
print(" {}: {}".format(key, value))
self.next(self.end)
@step
def end(self):
print("Completed")
opt = Optimisation()
| [
"msubzero2000@gmail.com"
] | msubzero2000@gmail.com |
127026945e89da6d871b6e151af9d6241f3867e5 | 200a7fb2a75151a8b83274ef53d661099da61047 | /django1_workspace/test4(get)/blues/ddobaki/models.py | d6d5a45b52187cd3bb993d21ac6fa65d5fbb1010 | [] | no_license | Minzard/Correctable-Pronunciation | 9e967e428f38b2a142e81d1d181caba9bc56305a | 4b94d6e07c0c682086595c202fc5fa41106a9df5 | refs/heads/master | 2021-06-21T03:13:44.751861 | 2020-12-29T02:05:22 | 2020-12-29T02:05:22 | 157,420,423 | 13 | 6 | null | null | null | null | UTF-8 | Python | false | false | 353 | py | from django.db import models
class get_ddobaki(models.Model):
user = models.CharField(max_length=100)
label = models.CharField(max_length=50)
stt = models.CharField(max_length=50)
class post_ddobaki(models.Model):
divided_stt = models.CharField(max_length=100)
color = models.BooleanField(default=True)
# Create your models here.
| [
"eh@EHui-MacBook-Pro.local"
] | eh@EHui-MacBook-Pro.local |
6f73725146e0aa41a0092ee3c4592b5a5dd9124d | b6282963725f1b44e29a11e4ea2479e0667c3b1a | /src/chapter04/demo01.py | f803bdb96f4e21d92e98b40c31dfdb70d8cb6bcd | [] | no_license | geekori/numpy | d2859f56e80a3ab0ea4a33bcb4bc8494dedbb879 | e3b18aa6868c1f98963f01875f9afa7ee86f1bf2 | refs/heads/master | 2020-04-09T07:44:22.074173 | 2018-12-03T10:01:59 | 2018-12-03T10:01:59 | 160,168,662 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 203 | py | # NumPy高级函数：计算协方差矩阵
from numpy import *
a = array([1,3,4,5])
b = array([2,6,2,2])
x = vstack((a,b))
print(x)
print(cov(x))
# cov函数会将正常的结果缩小到原来的1/3 | [
"282662996@qq.com"
] | 282662996@qq.com |
ec61f2c11c142888f2e43279e15779776f084d75 | b75b3bb6a2c6dd8b4a5b89718eb83d6451000cd4 | /hackbright.py | 715553d9b927069928d6bfc85808ce5824d2e0b2 | [] | no_license | CodeHotPink/project-tracking-flask | 22efebeaddf83d2746ba9137f1b478da8c34b1a9 | bdd58b17034406f28d5ceaa0c834eb0d6ad06be3 | refs/heads/master | 2020-04-03T18:46:04.010020 | 2018-10-31T04:02:38 | 2018-10-31T04:02:38 | 155,496,735 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,034 | py | """Hackbright Project Tracker.
A front-end for a database that allows users to work with students, class
projects, and the grades students receive in class projects.
"""
from flask import Flask
from flask_sqlalchemy import SQLAlchemy
app = Flask(__name__)
db = SQLAlchemy()
def connect_to_db(app):
"""Connect the database to our Flask app."""
app.config['SQLALCHEMY_DATABASE_URI'] = 'postgresql:///hackbright'
app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False
db.app = app
db.init_app(app)
def get_student_by_github(github):
"""Given a GitHub account name, print info about the matching student."""
QUERY = """
SELECT first_name, last_name, github
FROM students
WHERE github = :github
"""
db_cursor = db.session.execute(QUERY, {'github': github})
row = db_cursor.fetchone()
print(row)
print("Student: {} {}\nGitHub account: {}".format(row[0], row[1], row[2]))
return row
def make_new_student(first_name, last_name, github):
"""Add a new student and print confirmation.
Given a first name, last name, and GitHub account, add student to the
database and print a confirmation message.
"""
QUERY = """
INSERT INTO students (first_name, last_name, github)
VALUES (:first_name, :last_name, :github)
"""
db.session.execute(QUERY, {'first_name': first_name,
'last_name': last_name,
'github': github,})
db.session.commit()
print(f"Successully added student: {first_name} {last_name}")
def get_project_by_title(title):
"""Given a project title, print information about the project."""
QUERY = """
SELECT title, description, max_grade
FROM projects
WHERE title = :title
"""
db_cursor = db.session.execute(QUERY, {'title': title})
row = db_cursor.fetchone()
print(f"Title: {row[0]}\nDescription: {row[1]}\nMaximum Grade: {row[2]}")
def get_grade_by_github_title(github, title):
"""Print grade student received for a project."""
QUERY = """
SELECT student_github, project_title, grade
FROM grades
WHERE student_github = :github AND project_title = :title
"""
db_cursor = db.session.execute(QUERY, {'github': github,
'title': title})
row = db_cursor.fetchone()
print(f"Github: {row[0]}\nProject Title: {row[1]}\nGrade: {row[2]}")
def assign_grade(github, title, grade):
"""Assign a student a grade on an assignment and print a confirmation."""
QUERY = """
INSERT INTO grades (student_github, project_title, grade)
VALUES (:github, :title, :grade)
"""
db.session.execute(QUERY,{'github': github,
'title': title,
'grade': grade})
db.session.commit()
print(f"Successfully added {github}'s grade for {title}")
def add_project(title, description, max_grade):
"""Creates new project in projects table in Hackbright database. Will print confirmation."""
QUERY = """
INSERT INTO projects (title, description, max_grade)
VALUES (:title,:description, :max_grade)
"""
db.session.execute(QUERY,{'title': title,
'description': description,
'max_grade': max_grade})
print(f"Successfully added {title}.")
def handle_input():
"""Main loop.
Repeatedly prompt for commands, performing them, until 'quit' is received
as a command.
"""
command = None
while command != "quit":
input_string = input("HBA Database> ")
tokens = input_string.split()
command = tokens[0]
args = tokens[1:]
print(args)
if command == "student":
github = args[0]
get_student_by_github(github)
elif command == "new_student":
first_name, last_name, github = args # unpack!
make_new_student(first_name, last_name, github)
elif command == "project":
title = args[0]
get_project_by_title(title)
elif command == "github_grade":
github, title = args # unpack!
get_grade_by_github_title(github, title)
elif command == "assign_grade":
github, title, grade = args # unpack!
assign_grade(github, title, grade)
elif command == "add_project":
title = args[0]
project_desc = args[1:-1]
print(type(project_desc))
grade_max = args[-1]
add_project(title, project_desc, grade_max)
else:
if command != "quit":
print("Invalid Entry. Try again.")
if __name__ == "__main__":
connect_to_db(app)
handle_input()
# To be tidy, we close our database connection -- though,
# since this is where our program ends, we'd quit anyway.
db.session.close()
| [
"no-reply@hackbrightacademy.com"
] | no-reply@hackbrightacademy.com |
23c2de5fd645c39cbadd4ecdb4a8572487884ba8 | 069c2295076c482afadfe6351da5ae02be8e18e6 | /tests/urlpatterns/path_same_name_urls.py | d7ea5431b1e2e70e97338b78591e99ba67df435e | [
"LicenseRef-scancode-other-copyleft",
"LicenseRef-scancode-unknown-license-reference",
"BSD-3-Clause",
"GPL-1.0-or-later",
"Python-2.0.1",
"LicenseRef-scancode-free-unknown",
"LicenseRef-scancode-other-permissive",
"Python-2.0"
] | permissive | django/django | 5eb557f57053631cd4f566f451e43197309dbeeb | c74a6fad5475495756a5bdb18b2cab2b68d429bc | refs/heads/main | 2023-09-01T03:43:44.033530 | 2023-08-31T08:27:32 | 2023-08-31T08:27:32 | 4,164,482 | 73,530 | 38,187 | BSD-3-Clause | 2023-09-14T20:03:48 | 2012-04-28T02:47:18 | Python | UTF-8 | Python | false | false | 1,483 | py | from django.urls import path, re_path, register_converter
from . import converters, views
register_converter(converters.DynamicConverter, "to_url_value_error")
urlpatterns = [
# Different number of arguments.
path("number_of_args/0/", views.empty_view, name="number_of_args"),
path("number_of_args/1/<value>/", views.empty_view, name="number_of_args"),
# Different names of the keyword arguments.
path("kwargs_names/a/<a>/", views.empty_view, name="kwargs_names"),
path("kwargs_names/b/<b>/", views.empty_view, name="kwargs_names"),
# Different path converters.
path("converter/path/<path:value>/", views.empty_view, name="converter"),
path("converter/str/<str:value>/", views.empty_view, name="converter"),
path("converter/slug/<slug:value>/", views.empty_view, name="converter"),
path("converter/int/<int:value>/", views.empty_view, name="converter"),
path("converter/uuid/<uuid:value>/", views.empty_view, name="converter"),
# Different regular expressions.
re_path(r"^regex/uppercase/([A-Z]+)/", views.empty_view, name="regex"),
re_path(r"^regex/lowercase/([a-z]+)/", views.empty_view, name="regex"),
# converter.to_url() raises ValueError (no match).
path(
"converter_to_url/int/<value>/",
views.empty_view,
name="converter_to_url",
),
path(
"converter_to_url/tiny_int/<to_url_value_error:value>/",
views.empty_view,
name="converter_to_url",
),
]
| [
"felisiak.mariusz@gmail.com"
] | felisiak.mariusz@gmail.com |
c92030d52698c79b7c903ded6e22f72bf6b89f32 | 3c176f8c73b157f6aba150d869cefe64b7f0a4d7 | /app.py | a3686b206616eecff5056f175889e91a251507e1 | [] | no_license | ddev790/image_recommender_selectivesearch | 5be5a9659bb98b2f75bfd12ed7582e290d30522d | 374904c7be88abfeba2b00df735fd26c519081ad | refs/heads/master | 2021-08-11T21:00:59.213932 | 2017-11-14T04:50:52 | 2017-11-14T04:50:52 | 110,641,235 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,653 | py | import os
import random
import time
import requests
import sys
import simplejson
from flask import Flask, request, render_template, session, flash, redirect
from celery import Celery
import json
from psycopg2.extensions import AsIs
import psycopg2
from image_process import populate_db
app = Flask(__name__)
# Initialize Celery
celery = Celery(app.name, broker='redis://localhost:6379/0')
celery.conf.update(app.config)
@celery.task(name="segmentation")
def segmentation(image_url, enterprise_id, model_name, model_id):
val = populate_db(image_url, enterprise_id, model_name, model_id)
print(val)
r = requests.post("/callback_url/", data=json.dumps(val))
dataJSON = json.dumps({"image_url": image_url, "callback_url": "/callback_url/"})
return dataJSON
@app.route('/segment/<enterprise_id>/<model_name>/<model_id>', methods=['POST'])
def insert_data(enterprise_id, model_name, model_id):
if request.method == 'POST':
content = request.json
print(content)
image_url = content["image_url"]
# segmentation(image_url, enterprise_id, model_name, model_id)
segmentation.delay(image_url, enterprise_id, model_name, model_id)
return json.dumps({"image_url": image_url, "callback_url": "http://127.0.0.1:5000/callback_url/"})
# // celery process - insert into database - (url will be provided)
@app.route('/callback_url', methods=["POST"])
def callback_response(image_name):
if request.method == 'POST':
content = request.json
print(content)
# return dataJSON
@app.route('/features/<enterprise_id>/<model_name>/<model_id>/<segment_id>', methods=["GET"])
def features(enterprise_id, model_name, model_id, segment_id):
dataJSON = {}
con = None
try:
# connect to the PostgreSQL server
con = psycopg2.connect("host='localhost' dbname='image_recommender' user='postgres' password='admin'")
cur = con.cursor()
query_select = "Select enterprise_id,model_name,segment_id,model_id,features from k where segment_id='" + segment_id + "'"
cur.execute(query_select)
columns = cur.description
d = {}
for value in cur.fetchall():
for index, column in enumerate(value):
k = columns[index][0]
if k == 'segment_id':
d[k] = str(column)
else:
d[k] = column
except (Exception, psycopg2.DatabaseError) as error:
print(error)
sys.exit(1)
finally:
if con is not None:
con.close()
return json.dumps(d)
if __name__ == "__main__":
app.run(debug=True)
| [
"admin_yosemite_mac"
] | admin_yosemite_mac |
bde4160a1d045a92ee19fdc4d0e30366397bb41d | 2ade3d231fe1fcc8a4e698845a98fa025197c06b | /dealproperty/dealproperty/wsgi.py | f4be6bfd492254876a4b5741075bafaac4c57faf | [] | no_license | anandraj8756/property_deal_web | d3d7012968ac6c7e0931c9207db61163c518f086 | 1dc220734b00e651b891741db82469d28079f442 | refs/heads/main | 2023-06-08T04:30:12.439249 | 2021-07-05T06:20:33 | 2021-07-05T06:20:33 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 401 | py | """
WSGI config for dealproperty project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/3.2/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'dealproperty.settings')
application = get_wsgi_application()
| [
"anandallen95@gmail.com"
] | anandallen95@gmail.com |
529b1a3a2c7b1d1ca36401ac499afa8ce5891042 | d602149c0bf94a178e9972b74f113d7412db0eca | /google-cloud-sdk/google-cloud-sdk/.install/.backup/lib/googlecloudsdk/third_party/apis/tpu/v1alpha1/tpu_v1alpha1_messages.py | 46cde70eed13e0fc8a3c6175ab6450f73783066d | [
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0"
] | permissive | sarahdactyl71/gneiss-rocks | ffe19df02e77d8afdb2b96ae810e0e31490f2d77 | 45a4900a89638c1b6bc50d9ff4a83ae631a22c7a | refs/heads/development | 2021-07-04T05:36:12.037156 | 2017-10-06T22:14:27 | 2017-10-06T22:14:27 | 102,655,986 | 0 | 1 | null | 2020-07-25T07:44:54 | 2017-09-06T20:38:11 | Python | UTF-8 | Python | false | false | 25,050 | py | """Generated message classes for tpu version v1alpha1.
TPU API provides customers with access to Google TPU technology.
"""
# NOTE: This file is autogenerated and should not be edited by hand.
from apitools.base.protorpclite import messages as _messages
from apitools.base.py import encoding
from apitools.base.py import extra_types
package = 'tpu'
class Empty(_messages.Message):
"""A generic empty message that you can re-use to avoid defining duplicated
empty messages in your APIs. A typical example is to use it as the request
or the response type of an API method. For instance: service Foo {
rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } The
JSON representation for `Empty` is empty JSON object `{}`.
"""
class ListLocationsResponse(_messages.Message):
"""The response message for Locations.ListLocations.
Fields:
locations: A list of locations that matches the specified filter in the
request.
nextPageToken: The standard List next-page token.
"""
locations = _messages.MessageField('Location', 1, repeated=True)
nextPageToken = _messages.StringField(2)
class ListNodesResponse(_messages.Message):
"""Response for ListNodes.
Fields:
nextPageToken: The next page token or empty if none.
nodes: The listed nodes.
"""
nextPageToken = _messages.StringField(1)
nodes = _messages.MessageField('Node', 2, repeated=True)
class ListOperationsResponse(_messages.Message):
"""The response message for Operations.ListOperations.
Fields:
nextPageToken: The standard List next-page token.
operations: A list of operations that matches the specified filter in the
request.
"""
nextPageToken = _messages.StringField(1)
operations = _messages.MessageField('Operation', 2, repeated=True)
class Location(_messages.Message):
"""A resource that represents Google Cloud Platform location.
Messages:
LabelsValue: Cross-service attributes for the location. For example
{"cloud.googleapis.com/region": "us-east1"}
MetadataValue: Service-specific metadata. For example the available
capacity at the given location.
Fields:
labels: Cross-service attributes for the location. For example
{"cloud.googleapis.com/region": "us-east1"}
locationId: The canonical id for this location. For example: `"us-east1"`.
metadata: Service-specific metadata. For example the available capacity at
the given location.
name: Resource name for the location, which may vary between
implementations. For example: `"projects/example-project/locations/us-
east1"`
"""
@encoding.MapUnrecognizedFields('additionalProperties')
class LabelsValue(_messages.Message):
"""Cross-service attributes for the location. For example
{"cloud.googleapis.com/region": "us-east1"}
Messages:
AdditionalProperty: An additional property for a LabelsValue object.
Fields:
additionalProperties: Additional properties of type LabelsValue
"""
class AdditionalProperty(_messages.Message):
"""An additional property for a LabelsValue object.
Fields:
key: Name of the additional property.
value: A string attribute.
"""
key = _messages.StringField(1)
value = _messages.StringField(2)
additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)
@encoding.MapUnrecognizedFields('additionalProperties')
class MetadataValue(_messages.Message):
"""Service-specific metadata. For example the available capacity at the
given location.
Messages:
AdditionalProperty: An additional property for a MetadataValue object.
Fields:
additionalProperties: Properties of the object. Contains field @type
with type URL.
"""
class AdditionalProperty(_messages.Message):
"""An additional property for a MetadataValue object.
Fields:
key: Name of the additional property.
value: A extra_types.JsonValue attribute.
"""
key = _messages.StringField(1)
value = _messages.MessageField('extra_types.JsonValue', 2)
additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)
labels = _messages.MessageField('LabelsValue', 1)
locationId = _messages.StringField(2)
metadata = _messages.MessageField('MetadataValue', 3)
name = _messages.StringField(4)
class Node(_messages.Message):
"""An instance.
Enums:
StateValueValuesEnum: This contains a current state for the accelerator.
Output only.
Fields:
acceleratorType: The type of hardware accelerators associated with this
node.
cidrBlock: The user must supply a CIDR block that the TPU node will use
when selecting an IP address. This CIDR block must be a /29 block; the
GCE networks API forbids a smaller block, and using a larger block would
be wasteful (a node can only consume one IP address). Errors will occur
if the CIDR block has already been used for a currently existing TPU
node, the CIDR block conflicts with any subnetworks in the user's
provided network, or the provided network is peered with another network
that is using that CIDR block.
createTime: The time when the node was created. Output only.
description: User-supplied description of the TPU. Maximum of 512
characters.
healthDescription: Human readable description of why the service is
unhealthy. Output only.
ipAddress: The network address for the TPU as visible to other GCE
instances. Output only.
machineType: A string attribute.
name: Immutable name of the TPU
network: The user specifies the name of a network they wish to peer the
TPU node to. It must be a preexisting GCE network inside of the project
on which this API has been activated. If none is provided, "default"
will be used.
port: The network port for the TPU as visible to other GCE instances.
Output only.
serviceAccount: The service account used to run the tensor flow services
within the node. To share resources, including Google Cloud Storage
data, with the Tensorflow job running in the Node, this account must
have permissions to that data. Output only.
state: This contains a current state for the accelerator. Output only.
tensorflowVersion: The version of Tensorflow running in the Node.
"""
class StateValueValuesEnum(_messages.Enum):
"""This contains a current state for the accelerator. Output only.
Values:
STATE_UNSPECIFIED: TPU node state is not known/set.
CREATING: TPU node is being created.
READY: TPU node has been created and is fully usable.
RESTARTING: TPU node is restarting.
REIMAGING: TPU node is undergoing reimaging.
DELETING: TPU node is being deleted.
REPAIRING: TPU node is being repaired and may be unusable. Details can
be found in the `help_description` field.
"""
STATE_UNSPECIFIED = 0
CREATING = 1
READY = 2
RESTARTING = 3
REIMAGING = 4
DELETING = 5
REPAIRING = 6
acceleratorType = _messages.StringField(1)
cidrBlock = _messages.StringField(2)
createTime = _messages.StringField(3)
description = _messages.StringField(4)
healthDescription = _messages.StringField(5)
ipAddress = _messages.StringField(6)
machineType = _messages.StringField(7)
name = _messages.StringField(8)
network = _messages.StringField(9)
port = _messages.StringField(10)
serviceAccount = _messages.StringField(11)
state = _messages.EnumField('StateValueValuesEnum', 12)
tensorflowVersion = _messages.StringField(13)
class Operation(_messages.Message):
"""This resource represents a long-running operation that is the result of a
network API call.
Messages:
MetadataValue: Service-specific metadata associated with the operation.
It typically contains progress information and common metadata such as
create time. Some services might not provide such metadata. Any method
that returns a long-running operation should document the metadata type,
if any.
ResponseValue: The normal response of the operation in case of success.
If the original method returns no data on success, such as `Delete`, the
response is `google.protobuf.Empty`. If the original method is standard
`Get`/`Create`/`Update`, the response should be the resource. For other
methods, the response should have the type `XxxResponse`, where `Xxx` is
the original method name. For example, if the original method name is
`TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
Fields:
done: If the value is `false`, it means the operation is still in
progress. If `true`, the operation is completed, and either `error` or
`response` is available.
error: The error result of the operation in case of failure or
cancellation.
metadata: Service-specific metadata associated with the operation. It
typically contains progress information and common metadata such as
create time. Some services might not provide such metadata. Any method
that returns a long-running operation should document the metadata type,
if any.
name: The server-assigned name, which is only unique within the same
service that originally returns it. If you use the default HTTP mapping,
the `name` should have the format of `operations/some/unique/name`.
response: The normal response of the operation in case of success. If the
original method returns no data on success, such as `Delete`, the
response is `google.protobuf.Empty`. If the original method is standard
`Get`/`Create`/`Update`, the response should be the resource. For other
methods, the response should have the type `XxxResponse`, where `Xxx` is
the original method name. For example, if the original method name is
`TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
"""
@encoding.MapUnrecognizedFields('additionalProperties')
class MetadataValue(_messages.Message):
"""Service-specific metadata associated with the operation. It typically
contains progress information and common metadata such as create time.
Some services might not provide such metadata. Any method that returns a
long-running operation should document the metadata type, if any.
Messages:
AdditionalProperty: An additional property for a MetadataValue object.
Fields:
additionalProperties: Properties of the object. Contains field @type
with type URL.
"""
class AdditionalProperty(_messages.Message):
"""An additional property for a MetadataValue object.
Fields:
key: Name of the additional property.
value: A extra_types.JsonValue attribute.
"""
key = _messages.StringField(1)
value = _messages.MessageField('extra_types.JsonValue', 2)
additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)
@encoding.MapUnrecognizedFields('additionalProperties')
class ResponseValue(_messages.Message):
"""The normal response of the operation in case of success. If the
original method returns no data on success, such as `Delete`, the response
is `google.protobuf.Empty`. If the original method is standard
`Get`/`Create`/`Update`, the response should be the resource. For other
methods, the response should have the type `XxxResponse`, where `Xxx` is
the original method name. For example, if the original method name is
`TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
Messages:
AdditionalProperty: An additional property for a ResponseValue object.
Fields:
additionalProperties: Properties of the object. Contains field @type
with type URL.
"""
class AdditionalProperty(_messages.Message):
"""An additional property for a ResponseValue object.
Fields:
key: Name of the additional property.
value: A extra_types.JsonValue attribute.
"""
key = _messages.StringField(1)
value = _messages.MessageField('extra_types.JsonValue', 2)
additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)
done = _messages.BooleanField(1)
error = _messages.MessageField('Status', 2)
metadata = _messages.MessageField('MetadataValue', 3)
name = _messages.StringField(4)
response = _messages.MessageField('ResponseValue', 5)
class OperationMetadata(_messages.Message):
"""Represents the metadata of the long-running operation.
Fields:
apiVersion: [Output only] API version used to start the operation.
cancelRequested: [Output only] Identifies whether the user has requested
cancellation of the operation. Operations that have successfully been
cancelled have Operation.error value with a google.rpc.Status.code of 1,
corresponding to `Code.CANCELLED`.
createTime: [Output only] The time the operation was created.
endTime: [Output only] The time the operation finished running.
statusDetail: [Output only] Human-readable status of the operation, if
any.
target: [Output only] Server-defined resource path for the target of the
operation.
verb: [Output only] Name of the verb executed by the operation.
"""
apiVersion = _messages.StringField(1)
cancelRequested = _messages.BooleanField(2)
createTime = _messages.StringField(3)
endTime = _messages.StringField(4)
statusDetail = _messages.StringField(5)
target = _messages.StringField(6)
verb = _messages.StringField(7)
class StandardQueryParameters(_messages.Message):
"""Query parameters accepted by all methods.
Enums:
FXgafvValueValuesEnum: V1 error format.
AltValueValuesEnum: Data format for response.
Fields:
f__xgafv: V1 error format.
access_token: OAuth access token.
alt: Data format for response.
bearer_token: OAuth bearer token.
callback: JSONP
fields: Selector specifying which fields to include in a partial response.
key: API key. Your API key identifies your project and provides you with
API access, quota, and reports. Required unless you provide an OAuth 2.0
token.
oauth_token: OAuth 2.0 token for the current user.
pp: Pretty-print response.
prettyPrint: Returns response with indentations and line breaks.
quotaUser: Available to use for quota purposes for server-side
applications. Can be any arbitrary string assigned to a user, but should
not exceed 40 characters.
trace: A tracing token of the form "token:<tokenid>" to include in api
requests.
uploadType: Legacy upload protocol for media (e.g. "media", "multipart").
upload_protocol: Upload protocol for media (e.g. "raw", "multipart").
"""
class AltValueValuesEnum(_messages.Enum):
"""Data format for response.
Values:
json: Responses with Content-Type of application/json
media: Media download with context-dependent Content-Type
proto: Responses with Content-Type of application/x-protobuf
"""
json = 0
media = 1
proto = 2
class FXgafvValueValuesEnum(_messages.Enum):
"""V1 error format.
Values:
_1: v1 error format
_2: v2 error format
"""
_1 = 0
_2 = 1
f__xgafv = _messages.EnumField('FXgafvValueValuesEnum', 1)
access_token = _messages.StringField(2)
alt = _messages.EnumField('AltValueValuesEnum', 3, default=u'json')
bearer_token = _messages.StringField(4)
callback = _messages.StringField(5)
fields = _messages.StringField(6)
key = _messages.StringField(7)
oauth_token = _messages.StringField(8)
pp = _messages.BooleanField(9, default=True)
prettyPrint = _messages.BooleanField(10, default=True)
quotaUser = _messages.StringField(11)
trace = _messages.StringField(12)
uploadType = _messages.StringField(13)
upload_protocol = _messages.StringField(14)
class Status(_messages.Message):
"""The `Status` type defines a logical error model that is suitable for
different programming environments, including REST APIs and RPC APIs. It is
used by [gRPC](https://github.com/grpc). The error model is designed to be:
- Simple to use and understand for most users - Flexible enough to meet
unexpected needs # Overview The `Status` message contains three pieces of
data: error code, error message, and error details. The error code should be
an enum value of google.rpc.Code, but it may accept additional error codes
if needed. The error message should be a developer-facing English message
that helps developers *understand* and *resolve* the error. If a localized
user-facing error message is needed, put the localized message in the error
details or localize it in the client. The optional error details may contain
arbitrary information about the error. There is a predefined set of error
detail types in the package `google.rpc` that can be used for common error
conditions. # Language mapping The `Status` message is the logical
representation of the error model, but it is not necessarily the actual wire
format. When the `Status` message is exposed in different client libraries
and different wire protocols, it can be mapped differently. For example, it
will likely be mapped to some exceptions in Java, but more likely mapped to
some error codes in C. # Other uses The error model and the `Status`
message can be used in a variety of environments, either with or without
APIs, to provide a consistent developer experience across different
environments. Example uses of this error model include: - Partial errors.
If a service needs to return partial errors to the client, it may embed
the `Status` in the normal response to indicate the partial errors. -
Workflow errors. A typical workflow has multiple steps. Each step may
have a `Status` message for error reporting. - Batch operations. If a
client uses batch request and batch response, the `Status` message
should be used directly inside batch response, one for each error sub-
response. - Asynchronous operations. If an API call embeds asynchronous
operation results in its response, the status of those operations should
be represented directly using the `Status` message. - Logging. If some
API errors are stored in logs, the message `Status` could be used
directly after any stripping needed for security/privacy reasons.
Messages:
DetailsValueListEntry: A DetailsValueListEntry object.
Fields:
code: The status code, which should be an enum value of google.rpc.Code.
details: A list of messages that carry the error details. There is a
common set of message types for APIs to use.
message: A developer-facing error message, which should be in English. Any
user-facing error message should be localized and sent in the
google.rpc.Status.details field, or localized by the client.
"""
@encoding.MapUnrecognizedFields('additionalProperties')
class DetailsValueListEntry(_messages.Message):
"""A DetailsValueListEntry object.
Messages:
AdditionalProperty: An additional property for a DetailsValueListEntry
object.
Fields:
additionalProperties: Properties of the object. Contains field @type
with type URL.
"""
class AdditionalProperty(_messages.Message):
"""An additional property for a DetailsValueListEntry object.
Fields:
key: Name of the additional property.
value: A extra_types.JsonValue attribute.
"""
key = _messages.StringField(1)
value = _messages.MessageField('extra_types.JsonValue', 2)
additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)
code = _messages.IntegerField(1, variant=_messages.Variant.INT32)
details = _messages.MessageField('DetailsValueListEntry', 2, repeated=True)
message = _messages.StringField(3)
class TpuProjectsLocationsGetRequest(_messages.Message):
"""A TpuProjectsLocationsGetRequest object.
Fields:
name: Resource name for the location.
"""
name = _messages.StringField(1, required=True)
class TpuProjectsLocationsListRequest(_messages.Message):
"""A TpuProjectsLocationsListRequest object.
Fields:
filter: The standard list filter.
name: The resource that owns the locations collection, if applicable.
pageSize: The standard list page size.
pageToken: The standard list page token.
"""
filter = _messages.StringField(1)
name = _messages.StringField(2, required=True)
pageSize = _messages.IntegerField(3, variant=_messages.Variant.INT32)
pageToken = _messages.StringField(4)
class TpuProjectsLocationsNodesCreateRequest(_messages.Message):
"""A TpuProjectsLocationsNodesCreateRequest object.
Fields:
node: A Node resource to be passed as the request body.
nodeId: The unqualified resource name.
parent: The parent resource name.
serviceAccount: Allows user to set the service account running on the TPU
node's workers.
"""
node = _messages.MessageField('Node', 1)
nodeId = _messages.StringField(2)
parent = _messages.StringField(3, required=True)
serviceAccount = _messages.StringField(4)
class TpuProjectsLocationsNodesDeleteRequest(_messages.Message):
"""A TpuProjectsLocationsNodesDeleteRequest object.
Fields:
name: The resource name.
"""
name = _messages.StringField(1, required=True)
class TpuProjectsLocationsNodesGetRequest(_messages.Message):
"""A TpuProjectsLocationsNodesGetRequest object.
Fields:
name: The resource name.
"""
name = _messages.StringField(1, required=True)
class TpuProjectsLocationsNodesListRequest(_messages.Message):
"""A TpuProjectsLocationsNodesListRequest object.
Fields:
pageSize: The maximum number of items to return.
pageToken: The next_page_token value returned from a previous List
request, if any.
parent: The parent resource name.
"""
pageSize = _messages.IntegerField(1, variant=_messages.Variant.INT32)
pageToken = _messages.StringField(2)
parent = _messages.StringField(3, required=True)
class TpuProjectsLocationsNodesReimageRequest(_messages.Message):
"""A TpuProjectsLocationsNodesReimageRequest object.
Fields:
name: The resource name.
tensorflowVersion: The version for reimage to create.
"""
name = _messages.StringField(1, required=True)
tensorflowVersion = _messages.StringField(2)
class TpuProjectsLocationsNodesResetRequest(_messages.Message):
"""A TpuProjectsLocationsNodesResetRequest object.
Fields:
name: The resource name.
"""
name = _messages.StringField(1, required=True)
class TpuProjectsLocationsNodesUpdateStateRequest(_messages.Message):
"""A TpuProjectsLocationsNodesUpdateStateRequest object.
Enums:
StateValueValuesEnum: The state the node should be in after update.
Fields:
name: The resource name.
state: The state the node should be in after update.
"""
class StateValueValuesEnum(_messages.Enum):
"""The state the node should be in after update.
Values:
STATE_UNSPECIFIED: <no description>
CREATING: <no description>
READY: <no description>
RESTARTING: <no description>
REIMAGING: <no description>
DELETING: <no description>
REPAIRING: <no description>
"""
STATE_UNSPECIFIED = 0
CREATING = 1
READY = 2
RESTARTING = 3
REIMAGING = 4
DELETING = 5
REPAIRING = 6
name = _messages.StringField(1, required=True)
state = _messages.EnumField('StateValueValuesEnum', 2)
class TpuProjectsLocationsOperationsDeleteRequest(_messages.Message):
"""A TpuProjectsLocationsOperationsDeleteRequest object.
Fields:
name: The name of the operation resource to be deleted.
"""
name = _messages.StringField(1, required=True)
class TpuProjectsLocationsOperationsGetRequest(_messages.Message):
"""A TpuProjectsLocationsOperationsGetRequest object.
Fields:
name: The name of the operation resource.
"""
name = _messages.StringField(1, required=True)
class TpuProjectsLocationsOperationsListRequest(_messages.Message):
"""A TpuProjectsLocationsOperationsListRequest object.
Fields:
filter: The standard list filter.
name: The name of the operation's parent resource.
pageSize: The standard list page size.
pageToken: The standard list page token.
"""
filter = _messages.StringField(1)
name = _messages.StringField(2, required=True)
pageSize = _messages.IntegerField(3, variant=_messages.Variant.INT32)
pageToken = _messages.StringField(4)
encoding.AddCustomJsonFieldMapping(
StandardQueryParameters, 'f__xgafv', '$.xgafv')
encoding.AddCustomJsonEnumMapping(
StandardQueryParameters.FXgafvValueValuesEnum, '_1', '1')
encoding.AddCustomJsonEnumMapping(
StandardQueryParameters.FXgafvValueValuesEnum, '_2', '2')
| [
"kirkse710@gmail.com"
] | kirkse710@gmail.com |
99102bee439d4e4060ed9c0a44aa1bfe3bb55191 | 29cc8671d2b4cfb3551bf822751130e769e2651d | /5multipless.py | 9bfcc567ee6656d325b20c4dee4507fc11eb7655 | [] | no_license | raghava430/Raghava-reddy | 67360cf955e8c77e7fc7732eb70feb72fb19b3fe | 5e952e0d129427705ad540052757b895ffb38542 | refs/heads/master | 2020-06-14T10:05:13.429124 | 2019-07-17T04:35:11 | 2019-07-17T04:35:11 | 194,976,566 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 78 | py | e=int(input())
f=1
while(f<6):
g=e*f
f=f+1
print(g,end=" ")
| [
"noreply@github.com"
] | raghava430.noreply@github.com |
f86a2ef5c5fa10d7f88154c33b7e6bf8420fc39d | cac58755bacb8cf144e05d86ddf0f590c1626aa7 | /myPdf/pay_slip.py | 111c94721de04117f1cf32a6b8815c0d92792ec5 | [] | no_license | alaniomotosho2/automate | 95d853bda06dc5279cdff894550b399a6ad5bec9 | 1bb7ee70941029c6092b329184c65935b6355d4c | refs/heads/master | 2021-08-07T08:23:22.344109 | 2017-11-07T21:58:30 | 2017-11-07T21:58:30 | 108,914,450 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,680 | py | from datetime import datetime
employee_data = [
{ 'id': 123, 'name': 'Usman', 'payment': 10000,
'tax': 3000, 'total': 7000 },
{ 'id': 245, 'name': 'Sophia', 'payment': 12000,
'tax': 4000, 'total': 8000 },
]
from fpdf import FPDF, HTMLMixin
class PaySlip(FPDF, HTMLMixin):
def footer(self):
self.set_y(-15)
self.set_font('Arial', 'I', 8)
self.cell(0, 10, 'Page %s' % self.page_no(), 0, 0, 'C')
def header(self):
self.set_font('Arial', 'B', 15)
self.cell(80)
self.cell(30, 10, 'Google', 1, 0, 'C')
self.ln(20)
def generate_payslip(data):
month = datetime.now().strftime("%B")
year = datetime.now().strftime("%Y")
pdf = PaySlip(format='letter')
pdf.add_page()
pdf.set_font("Times", size=12)
pdf.cell(200, 10, txt="Pay Slip for %s, %s" %(month, year), ln=3, align="C")
pdf.cell(50)
pdf.cell(100, 10, txt="Employeed Id: %s" % employee_data[0]['id'],ln=1, align='L')
pdf.cell(50)
pdf.cell(100, 10, txt="Employeed Name: %s" % employee_data[0]['name'], ln=3, align='L')
html = """
<table border="0" align="center" width="50%">
<thead><tr><th align="left" width="50%">
Pay Slip Details</th><th align="right" width="50%">
Amount in USD</th></tr></thead>
<tbody>
<tr><td>Payments</td><td align="right"> """ + str(employee_data[0]['payment']) + """ </td></tr>
<tr><td>Tax</td><td align="right"> """ + str(employee_data[0]['tax']) + """ </td></tr>
<tr><td>Total</td><td align="right"> """ + str(employee_data[0]['total']) + """</td></tr>
</tbody>
</table>
"""
pdf.write_html(html)
pdf.output('payslip_%s.pdf' % employee_data[0]['id']) # this make sense,, slip is appeneded by the date
for emp in employee_data:
generate_payslip(emp) | [
"alaniomotosho2@gmail.com"
] | alaniomotosho2@gmail.com |
c49351323bd5706e1c5df7eba562dd7673b7e486 | 78fda83a9cd033d84e3ff47c8f9731b8ab3ff26d | /Scripts/part2.py | 9cff5153f59ef3e22aa7bc8b87b3ecc37cb50871 | [] | no_license | soham-shah/fireViz | 61bea14cfb97bfb51a85c49b4a0740b4f57d1161 | 3e00a2ec68585be443a7a6eb859870a4f1898360 | refs/heads/master | 2021-01-19T15:50:30.886862 | 2017-08-21T16:59:25 | 2017-08-21T16:59:25 | 100,973,269 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 10,549 | py | #!/usr/bin/python
import numpy as np
import pandas as pd
import os
import sys
sys.path.append("/curc/tools/x86_64/rh6/software/visit/2.10.0/2.10.0/linux-x86_64/lib/site-packages")
from visit import *
import time
def closeDatabases(indexString):
CloseDatabase("localhost:/projects/joki9146/week_13/Data_part2/wrfout_" + indexString + ".nc")
CloseDatabase("localhost:/projects/joki9146/week_13/Data_part1/katrinaTerrain.png")
#open db
def openDB(indexString):
filename = "localhost:/projects/joki9146/week_13/Data_part2/wrfout_" + indexString + ".nc"
OpenDatabase(filename, 0, "NETCDF")
ActivateDatabase(filename)
#load bg image
def loadBGImage(lat, lon):
OpenDatabase("localhost:/projects/joki9146/week_13/Data_part1/katrinaTerrain.png", 0, "Image")
ActivateDatabase("localhost:/projects/joki9146/week_13/Data_part1/katrinaTerrain.png")
AddPlot("Truecolor", "color", 1, 0)
TruecolorAtts = TruecolorAttributes()
TruecolorAtts.opacity = 1
TruecolorAtts.lightingFlag = 0
SetPlotOptions(TruecolorAtts)
#add elevate
SetActivePlots(1)
AddOperator("Elevate", 0)
ElevateAtts = ElevateAttributes()
ElevateAtts.zeroFlag = 1
SetOperatorOptions(ElevateAtts, 0)
#add transform
AddOperator("Transform", 0)
TransformAtts = TransformAttributes()
TransformAtts.doScale = 1
TransformAtts.scaleX = 0.43
TransformAtts.scaleY = 0.68
TransformAtts.scaleZ = 1
SetOperatorOptions(TransformAtts, 1)
#add transform
AddOperator("Transform", 0)
TransformAtts = TransformAttributes()
TransformAtts.doTranslate = 1
TransformAtts.translateX = -lon
TransformAtts.translateY = -lat
TransformAtts.translateZ = 0
SetOperatorOptions(TransformAtts, 2)
def plotWind():
DefineVectorExpression("wind", "{U, V, W}")
DefineScalarExpression("windMag", "magnitude(wind)")
AddPlot("Vector", "wind")
#add slice
AddOperator("Slice", 0)
SliceAtts = SliceAttributes()
SliceAtts.originType = SliceAtts.Intercept # Point, Intercept, Percent, Zone, Node
SliceAtts.originIntercept = 5
SliceAtts.normal = (0, 0, 1)
SliceAtts.axisType = SliceAtts.ZAxis # XAxis, YAxis, ZAxis, Arbitrary, ThetaPhi
SliceAtts.upAxis = (0, 1, 0)
SliceAtts.project2d = 0
SliceAtts.meshName = "as_zonal/mesh315x309"
SetOperatorOptions(SliceAtts, 0)
#wind vec attrs
VectorAtts = VectorAttributes()
VectorAtts.nVectors = 4000
VectorAtts.lineStyle = VectorAtts.SOLID # SOLID, DASH, DOT, DOTDASH
VectorAtts.scale = 0.08
VectorAtts.scaleByMagnitude = 1
VectorAtts.autoScale = 0
VectorAtts.headSize = 0.3
VectorAtts.headOn = 1
VectorAtts.colorByMag = 1
VectorAtts.lineStem = VectorAtts.Cylinder # Cylinder, Line
VectorAtts.stemWidth = 0.1
VectorAtts.glyphType = VectorAtts.Arrow # Arrow, Ellipsoid
VectorAtts.vectorOrigin = VectorAtts.Middle # Head, Middle, Tail
VectorAtts.geometryQuality = VectorAtts.High # Fast, High
VectorAtts.useLegend = 0
SetPlotOptions(VectorAtts)
def plotStreamtline():
AddPlot("Streamline", "wind")
StreamlineAtts = StreamlineAttributes()
StreamlineAtts.sourceType = StreamlineAtts.SpecifiedCircle # SpecifiedPoint, SpecifiedPointList, SpecifiedLine, SpecifiedCircle, SpecifiedPlane, SpecifiedSphere, SpecifiedBox, Selection
StreamlineAtts.planeOrigin = (155, 155, 5)
StreamlineAtts.planeNormal = (0, 0, 1)
StreamlineAtts.planeUpAxis = (0, 1, 0)
StreamlineAtts.radius = 100
StreamlineAtts.sampleDensity0 = 9
StreamlineAtts.sampleDensity1 = 4
StreamlineAtts.integrationDirection = StreamlineAtts.Both # Forward, Backward, Both
StreamlineAtts.maxSteps = 1000
StreamlineAtts.limitMaximumTimestep = 1
StreamlineAtts.maxTimeStep = 0.01
StreamlineAtts.displayMethod = StreamlineAtts.Tubes # Lines, Tubes, Ribbons
StreamlineAtts.varyTubeRadius = StreamlineAtts.Scalar # None, Scalar
StreamlineAtts.varyTubeRadiusFactor = 10
StreamlineAtts.colorTableName = "hot"
StreamlineAtts.coloringMethod = StreamlineAtts.ColorByVariable # Solid, ColorBySpeed, ColorByVorticity, ColorByLength, ColorByTime, ColorBySeedPointID, ColorByVariable, ColorByCorrelationDistance, ColorByNumberDomainsVisited
StreamlineAtts.coloringVariable = "windMag"
StreamlineAtts.tubeRadiusAbsolute = 0.125
StreamlineAtts.tubeRadiusBBox = 0.0025
StreamlineAtts.showSeeds = 0
StreamlineAtts.varyTubeRadius = StreamlineAtts.Scalar # None, Scalar
StreamlineAtts.varyTubeRadiusFactor = 6
StreamlineAtts.varyTubeRadiusVariable = "windMag"
StreamlineAtts.legendFlag = 0
SetPlotOptions(StreamlineAtts)
#SetActivePlots(3)
#RemoveOperator(0, 0)
#add clouds
def addClouds():
AddPlot("Volume", "QCLOUD", 1, 0)
SetActivePlots(4)
AddOperator("Transform", 0)
TransformAtts = TransformAttributes()
TransformAtts.doScale = 1
TransformAtts.scaleOrigin = (0, 0, 0)
TransformAtts.scaleX = 1
TransformAtts.scaleY = 1
TransformAtts.scaleZ = 3
SetOperatorOptions(TransformAtts, 0)
VolumeAtts = VolumeAttributes()
VolumeAtts.legendFlag = 0
VolumeAtts.colorControlPoints.GetControlPoints(0).colors = (220, 220, 220, 0)
VolumeAtts.colorControlPoints.GetControlPoints(0).position = 0
VolumeAtts.colorControlPoints.GetControlPoints(1).colors = (240, 240, 240, 255)
VolumeAtts.colorControlPoints.GetControlPoints(1).position = 0.34106
VolumeAtts.colorControlPoints.GetControlPoints(2).colors = (255, 255, 255, 255)
VolumeAtts.colorControlPoints.GetControlPoints(2).position = 1
VolumeAtts.colorControlPoints.smoothing = VolumeAtts.colorControlPoints.Linear # None, Linear, CubicSpline
VolumeAtts.colorControlPoints.equalSpacingFlag = 0
VolumeAtts.colorControlPoints.discreteFlag = 0
VolumeAtts.opacityAttenuation = 1
VolumeAtts.opacityMode = VolumeAtts.ColorTableMode # FreeformMode, GaussianMode, ColorTableMode
VolumeAtts.resampleFlag = 1
VolumeAtts.resampleTarget = 10000000
VolumeAtts.rendererType = VolumeAtts.Splatting # Splatting, Texture3D, RayCasting, RayCastingIntegration, SLIVR, RayCastingSLIVR, Tuvok
VolumeAtts.gradientType = VolumeAtts.SobelOperator # CenteredDifferences, SobelOperator
VolumeAtts.transferFunctionDim = 1
SetPlotOptions(VolumeAtts)
#add hot towers
def addHotTowers():
AddPlot("Pseudocolor", "QCLOUD", 1, 0)
SetActivePlots(5)
AddOperator("Transform", 0)
TransformAtts = TransformAttributes()
TransformAtts.doScale = 1
TransformAtts.scaleOrigin = (0, 0, 0)
TransformAtts.scaleX = 1
TransformAtts.scaleY = 1
TransformAtts.scaleZ = 3
SetOperatorOptions(TransformAtts, 0)
AddOperator("Isovolume", 0)
IsovolumeAtts = IsovolumeAttributes()
IsovolumeAtts.lbound = 0.0005
IsovolumeAtts.ubound = 1e+37
IsovolumeAtts.variable = "default"
SetOperatorOptions(IsovolumeAtts, 0)
PseudocolorAtts = PseudocolorAttributes()
PseudocolorAtts.maxFlag = 1
PseudocolorAtts.max = 0.0015
PseudocolorAtts.centering = PseudocolorAtts.Zonal # Natural, Nodal, Zonal
PseudocolorAtts.colorTableName = "Reds"
PseudocolorAtts.legendFlag = 0
PseudocolorAtts.smoothingLevel = 2
SetPlotOptions(PseudocolorAtts)
#add rainfall
def addRainfall():
AddPlot("Pseudocolor", "RAINNC", 1, 0)
SetActivePlots(6)
PseudocolorAtts = PseudocolorAttributes()
PseudocolorAtts.colorTableName = "RAINNC"
PseudocolorAtts.opacityType = PseudocolorAtts.ColorTable # ColorTable, FullyOpaque, Constant, Ramp, VariableRange
PseudocolorAtts.lightingFlag = 0
PseudocolorAtts.legendFlag = 0
SetPlotOptions(PseudocolorAtts)
AddOperator("Elevate", 0)
ElevateAtts = ElevateAttributes()
ElevateAtts.zeroFlag = 1
SetOperatorOptions(ElevateAtts, 0)
AddOperator("Transform", 0)
TransformAtts = TransformAttributes()
TransformAtts.doTranslate = 1
TransformAtts.translateX = 0
TransformAtts.translateY = 0
TransformAtts.translateZ = 0.05
SetOperatorOptions(TransformAtts, 0)
#add light
def addLight():
light1 = LightAttributes()
light1.enabledFlag = 1
light1.type = light1.Object # Ambient, Object, Camera
light1.direction = (0, 0, -1)
light1.color = (255, 255, 255, 255)
light1.brightness = 0.5
SetLight(1, light1)
def annotation():
AnnotationAtts = AnnotationAttributes()
AnnotationAtts.axes2D.visible = 0
AnnotationAtts.axes3D.visible = 0
AnnotationAtts.axes3D.triadFlag = 0
AnnotationAtts.axes3D.bboxFlag = 0
AnnotationAtts.userInfoFlag = 0
AnnotationAtts.databaseInfoFlag = 0
AnnotationAtts.legendInfoFlag = 0
AnnotationAtts.axesArray.visible = 0
AnnotationAtts.backgroundColor = (0, 0, 0, 255)
SetAnnotationAttributes(AnnotationAtts)
#set view angle
def setView():
View3DAtts = View3DAttributes()
View3DAtts.viewNormal = (-0.745356, -0.596285, 0.298142)
View3DAtts.focus = (153.99998, 156.99997, 0)
View3DAtts.viewUp = (0, 0, 1)
View3DAtts.imagePan = (0, .03)
View3DAtts.imageZoom = 4
SetView3D(View3DAtts)
def saveFile(fileIndex):
SaveWindowAtts = SaveWindowAttributes()
SaveWindowAtts.outputToCurrentDirectory = 0
SaveWindowAtts.outputDirectory = "/projects/joki9146/week_13/output/"
SaveWindowAtts.fileName = "katrina"+fileIndex
SaveWindowAtts.family = 0
SaveWindowAtts.format = SaveWindowAtts.PNG # BMP, CURVE, JPEG, OBJ, PNG, POSTSCRIPT, POVRAY, PPM, RGB, STL, TIFF, ULTRA, VTK, PLY
SaveWindowAtts.width = 1024
SaveWindowAtts.height = 1024
SaveWindowAtts.compression = SaveWindowAtts.PackBits # None, PackBits, Jpeg, Deflate
SaveWindowAtts.forceMerge = 0
SetSaveWindowAttributes(SaveWindowAtts)
SaveWindow()
def readLatsLons(file):
fPath = os.path.join(cwDir, file)
df = pd.read_csv(fPath)
lats = df['Lat'].values
lons = df['Lon'].values
lat=[]
lon=[]
for i in range(0,lats.size):
lat.append(lats[i]-lats[0])
for i in range(0,lons.size):
lon.append(lons[i]-lons[0])
lat=np.asarray(lat)
lon=np.asarray(lon)
return lat, lon
def readTimes(file):
fPath = os.path.join(cwDir, file)
df = pd.read_csv(fPath)
time = df['Times'].values
return time
def convertLat(lat):
print lat
factor = 27.43435
coord = (lat) * factor
print coord
return coord
def convertLon(lon):
print lon
factor = -24.07495
coord = (lon) * factor
print coord
return coord
#main
print "started"
i = int(sys.argv[1])
print i
cwDir = "/projects/joki9146/week_13/Data_part2/"
lats, lons = readLatsLons("latslons.csv")
times = readTimes("Times.csv")
Launch()
loadBGImage(convertLat(lats[i]), convertLon(lons[i]))
openDB(str(i).zfill(3))
plotWind()
plotStreamtline()
addClouds()
addHotTowers()
addRainfall()
addLight()
annotation()
setView()
DrawPlots()
saveFile(str(i).zfill(3))
DeleteAllPlots()
closeDatabases(str(i).zfill(3))
Close()
| [
"sohamshah225@gmail.com"
] | sohamshah225@gmail.com |
ce9556d7e5b4f79026943d6b28014f74995039fa | bc38678b79fee6d92c5fe73ce6a56854421f5b70 | /github_unit_1/Mod_5/sierra_python_module04-master orig/my_d_nesting.py | 071f108ecf481fca1ba89863f26d8c846301b9c2 | [] | no_license | JOYFLOWERS/joyflowers.github.io | 8a6f757595e4a0cdca621fa4210ac021a87de679 | c8417cd06489e04009a773c56f334ea629ff3905 | refs/heads/master | 2020-07-21T15:49:37.448128 | 2019-12-14T03:37:31 | 2019-12-14T03:37:31 | 206,913,024 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,536 | py | # List Nesting
# Since a list can contain any type of object as an element, and a list is itself an object, a list can contain another list as an element.
# Such embedding of a list inside another list is known as list nesting.Ex: The code my_list = [[5, 13], [50, 75, 100]] creates a list with two elements
# that are each another list.
my_list = [[10, 20], [30, 40]]
print('First nested list:', my_list[0])
print('Second nested list:', my_list[1])
print('Element 0 of first nested list:', my_list[0][0])
# A list is a single-dimensional sequence of items, like a series of times, data samples, daily temperatures, etc.
# List nesting allows for a programmer to also create a multi-dimensional data structure, the simplest being a two-dimensional table,
# like a spreadsheet or tic-tac-toe board. The following code defines a two-dimensional table using nested lists:
tic_tac_toe = [
['X', 'O', 'X'],
[' ', 'X', ' '],
['O', 'O', 'X']
]
print(tic_tac_toe[0][0], tic_tac_toe[0][1], tic_tac_toe[0][2])
print(tic_tac_toe[1][0], tic_tac_toe[1][1], tic_tac_toe[1][2])
print(tic_tac_toe[2][0], tic_tac_toe[2][1], tic_tac_toe[2][2])
# The example above creates a variable tic_tac_toe that represents a 2-dimensional table with 3 rows and 3 columns, for 3*3=9 total table entries.
# Each row in the table is a nested list. Table entries can be accessed by specifying the desired row and column: tic_tac_toe [1][1] accesses the middle square
# in row 1, column 1 (starting from 0), which has a value of 'X'. The following code illustrates:
currency = [
[1.00, 5.00, 10.0], # US Dollars
[0.75, 3.77, 7.53], # Euros
[0.65, 3.25, 6.50] # British pounds
]
for row in currency:
for cell in row:
print(cell, end=' ')
print()
###Challenge 1###
# Print the two-dimensional list mult_table by row and column. Hint: Use nested loops.
# Sample output with input: '1 2 3,2 4 6,3 6 9':
# 1 | 2 | 3
# 2 | 4 | 6
# 3 | 6 | 9
user_input= input('Enter nine numbers in the following format 1 2 3,2 4 6,3 6 9 ')
lines = user_input.split(',')
# # This line uses a construct called a list comprehension, introduced elsewhere,
# # to convert the input string into a two-dimensional list.
# # Ex: 1 2, 2 4 is converted to [ [1, 2], [2, 4] ]
mult_table = [[int(num) for num in line.split()] for line in lines]
for i in range(len(mult_table)):
for j in range(len(mult_table)):
print(mult_table[i][j],'|',end=' ')
print('')
| [
"noreply@github.com"
] | JOYFLOWERS.noreply@github.com |
09cace0bf73c69539cf1e99a98b7a6f3ed08f833 | 5328f77114a898f1c75bf82176306a9ab83a3473 | /models/clients.py | 1ab3394ff6e1a3a584d126ddfc7b641f30095cee | [] | no_license | prabakaran04/prabakaran | 2e207e0dc17cb0c39340b05683fda750eae45eaa | b6f8268192dcffcd095486527777d4edeaafdf68 | refs/heads/master | 2023-03-11T14:10:38.576472 | 2019-07-18T13:29:04 | 2019-07-18T13:29:04 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,325 | py | from odoo import models,fields,api
from odoo.exceptions import ValidationError
class ClientDetails(models.Model):
_name = 'client.details'
_rec_name='client_name'
client_id = fields.Char(default ='new')
client_name = fields.Char(string ='Client name')
address = fields.Char(string ='Address')
client_email = fields.Char(string = 'Email')
mobile = fields.Char(string = 'Mobile')
status = fields.Selection(string = 'status' , selection=[('gold', 'Gold'),('silver','Silver'),('bronze','bronze')])
client_sex = fields.Selection(string = "Sex", selection=[('male','Male'),('female','Female')])
date =fields.Datetime(string = "created on" , default=fields.Datetime.now)
@api.model
def create(self , vals):
if vals.get('client_id','new') =='new':
vals['client_id'] = self.env['ir.sequence']. next_by_code('client.details') or '/'
return super(ClientDetails , self). create(vals)
@api.constrains('client_name')
def _check_name(self):
for val in self:
if val['client_name']:
if len(val["client_name"])<6:
raise ValidationError("name is too short, must be more than 6 character")
_sql_constraints =[('client_name_unique','unique(client_name)','name already exists')] | [
"prabakaran@sodexis.com"
] | prabakaran@sodexis.com |
fbc7694ea37606dbb8b3d679815129d939c33700 | ee7cde00d334cf625e309a7157e331e450a7056d | /scripts/json_toolpath_analyzer.py | 205d254edb0b33031dba04f9af66c048882ae369 | [] | no_license | makerbot/TestFiles | 29a73a135b53ce2c447501c4788c8cceaa1075e4 | ba16bccad29646e0ce4379adb33632fb9799b852 | refs/heads/master | 2021-01-19T02:15:42.711380 | 2016-07-29T17:45:20 | 2016-07-29T17:45:20 | 2,892,052 | 4 | 2 | null | null | null | null | UTF-8 | Python | false | false | 15,145 | py | import os
import sys
import re
import math
import argparse
import copy
import json
layer_begin = re.compile('^(\(|;)(<layer>|Slice) [\d.]+.*(\)|:)?$')
paramcodes = 'XYZFABE'
g1re = re.compile('^G1\s+(?P<param>(['+paramcodes+']-?\d+(\.\d*)?\s*)+)(?P<comment>.*)$')
paramre = re.compile('(?P<code>['+paramcodes+'])(?P<value>-?\d+(\.\d*)?)')
def formatParamDict(params, category = ''):
'''Convert a dict into an xml-like format'''
return reduce(lambda a,b: '%s %s=\"%s\"' % ((a,) + b), params.iteritems(), category)
def writeSvg(output, elements):
'''Write elements (an iterable) to output (a file-like thing)'''
output.write("<?xml version=\"1.0\" encoding=\"ISO-8859-1\" standalone=\"no\"?>\n")
output.write("<svg xmlns=\"http://www.w3.org/2000/svg\" version=\"1.1\">\n")
for element in elements:
if element:
output.write(element + '\n')
output.write("</svg>\n")
def decodeCommand(command):
'''Decode a G1 command or layer change into a dict.'''
params = dict()
params['line']=filter(lambda a: a!='\n',command)
if layer_begin.match(command):
params['layer']=True
g1match = g1re.match(command)
if None is not g1match:
params['G1']=True
data = paramre.finditer(g1match.group('param'))
for match in data:
params[match.group('code')] = float(match.group('value'))
if 'layer' in params:
sys.stdout.write('.')
sys.stdout.flush()
return params
def encodeCommand(command):
'''Reconstruct a decoded command.'''
if 'G1' in command:
foo = lambda a,b: ('%s%s')%(a,((' '+b+str(command[b])) if b in command else ''),)
if 'old' in command:
return reduce(foo, paramcodes, 'OLD: %s\nNEW: G1' % (encodeCommand(command['old'])))
else:
return reduce(foo, paramcodes, 'G1')
else:
try:
return command['line']
except KeyError as ke:
return ''
def interpretCommand(command, md = None):
'''Get a style string from a preprocessed command.'''
def speedConvert(s):
if None is md:
s = (s / 5000.0) * 256.0 ** 2
c = [256.0 ** 2, 256.0, 256.0]
sc = [math.fmod(s, p) * 256.0/p for p in c]
ret = [int(sci) for sci in sc]
else:
clamp = 2.0
split = 0.5
if md[1] != 0:
v = (s - md[0]) / md[1]
else:
v = 0.0
v = max(v, -clamp)
v = min(v, clamp)
v = (v + clamp) / (2.0 * clamp)
b = 0.0
if v < split:
a = v / split
#a = math.sqrt(a)
c = b
else:
a = b
c = (v - split) / (1.0 - split)
#c = math.sqrt(c)
ret = [int(255 * j) for j in (a,b,c)]
#print s, sc
return ret
def paramConvert(sc):
return (sc[0], sc[1], sc[2], 2.0)
speedParam = lambda s: paramConvert(speedConvert(s))
if 'G1' in command:
for axis in 'ABE':
if axis in command and axis in command['old']:
volume = command[axis] - command['old'][axis]
break
if volume == 0: #travel move
params = (0,255,0,1)
else:
params = speedParam(command['F'])
return 'stroke:rgb(%s,%s,%s);stroke-width:%s' % params
elif 'type' in command and command['type'] == 'movement':
volume = command['volume']
if volume == 0: #travel move
params = params = (0,255,0,1)
else:
params = speedParam(command['speed'])
return 'stroke:rgb(%s,%s,%s);stroke-width:%s' % params
else:
return None
def parseCommands(commands):
'''Get a list of decoded commands from the commands iterable'''
sys.stdout.write('\nReading Commands\n')
sys.stdout.flush()
return [decodeCommand(command) for command in commands]
def dropInitCommands(commands):
'''
Drop all things before the first layer label in decoded commands.
Returns a list containing only commands from the first layer label
'''
for index in range(len(commands)):
if 'layer' in commands[index]:
return commands[index:]
def offsetCommands(commands, offset = (0.0,0.0), scale=10.0):
'''
Make all X,Y coordinates in commands positive plus offset.
commands is an iterable of decoded commands.
offset is a coordinate pair. All commands will be moved such that
no command is below offset.
scale will increase the size of things
'''
minimums = dict({'x':999.0, 'y':999.0})
maximums = dict({'x':-999.0, 'y':-999.0})
offset = dict({'x':offset[0], 'y':offset[1]})
sys.stdout.write('\nDetecting Extents\n')
sys.stdout.flush()
for command in commands:
for axis in 'xy':
if axis in command["command"]["parameters"]:
minimums[axis] = min(minimums[axis],command["command"]["parameters"][axis])
maximums[axis] = max(maximums[axis],command["command"]["parameters"][axis])
print '\nMinimums:', '%s\t%s' % tuple([minimums[a] for a in 'xy'])
print 'Maximums:', '%s\t%s' % tuple([maximums[a] for a in 'xy'])
sys.stdout.write('\nTransforming Coordinates\n')
sys.stdout.flush()
for command in commands:
for axis in 'xy':
if axis in command["command"]["parameters"]:
if 'x' == axis:
command["command"]["parameters"][axis] = (command["command"]["parameters"][axis] -
minimums[axis]) * scale + offset[axis]
else:
command["command"]["parameters"][axis] = (maximums[axis] -
command["command"]["parameters"][axis]) * scale + offset[axis]
def preprocessCommands(commands):
'''Add relative information to each command for use in drawing svgs'''
oldCommand = dict()
currentCommand = dict()
sys.stdout.write('\nParsing Command Transitions\n')
sys.stdout.flush()
for command in commands:
currentCommand.update(command)
currentCommand['old'] = copy.deepcopy(oldCommand)
oldCommand.update(currentCommand)
command.update(currentCommand)
del oldCommand['old']
def postprocessCommands(commands):
'''Convert preprocessed commands into a json-ready dict'''
layers = []
movements = []
last_z = 0
for command in commands:
if last_z != command["command"]["parameters"]["z"]:
if len(movements) > 0:
layers.append(movements)
movements = []
if command["command"]["function"] == "move" and "command" in command["old"]:
#try:
movement = dict({'type': 'movement'})
oldPos = dict()
newPos = dict()
oldPos['x'] = command['old']["command"]["parameters"]['x']
oldPos['y'] = command['old']["command"]["parameters"]['y']
newPos['x'] = command["command"]["parameters"]['x']
newPos['y'] = command["command"]["parameters"]['y']
movement['from'] = oldPos
movement['to'] = newPos
movement['speed'] = command["command"]["parameters"]['feedrate']
movement['relative'] = dict()
for axis in 'xy':
movement['relative'][axis] = movement['to'][axis] - movement['from'][axis]
movement['distance'] = math.sqrt(movement['relative']['x']**2 + movement['relative']['y']**2)
tool = 'a'
if 'a' in command["command"]["parameters"]:
movement['volume'] = command["command"]["parameters"]['a'] - command['old']["command"]["parameters"]['a']
last_z = command["command"]["parameters"]["z"]
movements.append(movement)
#except KeyError as ke:
# print("Key Error")
# pass
outDict = dict()
outDict['layers'] = []
for layer in layers:
curLayer = dict({'movements' : layer})
outDict['layers'].append(curLayer)
return outDict
def distribution(values):
'''From list of numeric types get (mean, std deviation, min, max)'''
E = 0.0
E2 = 0.0
counter = 0
M = None
m = None
for value in values:
E += value
E2 += value ** 2
counter += 1
if None is M:
M = value
else:
M = max(M, value)
if None is m:
m = value
else:
m = min(m, value)
E /= counter
E2 /= counter
return (E, math.sqrt(E2 - E ** 2), m, M)
def processedDistribution(commands):
'''
From a list of processed commands, get (mean, std deviation)
'''
try:
largest = max(c['speed'] for c in commands
if c['volume'] != 0 and c['distance'] != 0)
except ValueError as ve:
largest = 0
try:
d = distribution(c['speed'] for c in commands
if c['volume'] != 0 and c['distance'] != 0)
except ZeroDivisionError as zde:
d = 0
return d
def parseArgs(argv):
parser=argparse.ArgumentParser(
description="Generate customizable analysis of GCode in svg form.")
#MONKEY PATCH BEGIN
def argparse_error_override(message):
parser.print_help()
parser.exit(2)
parser.error=argparse_error_override
#MONKEY PATCH END
parser.add_argument(
'json_path',
help='path of json to analyze')
parser.add_argument(
'OUTPUT_PATH',
type=os.path.abspath,
nargs='?',
help='top folder where to place generated files',
default=None)
return parser.parse_args(argv)
def commandToSvg(command, arg = None):
'''Convert a single processed movement to an svg line'''
if 'old' in command:
#work on a preprocessed command
relative = dict()
for param in paramcodes:
if param in command and param in command['old']:
relative[param] = command[param] - command['old'][param]
lineparams = dict()
try:
lineparams['x1'] = command['old']["command"]["parameters"]['x']
lineparams['y1'] = command['old']["command"]["parameters"]['y']
lineparams['x2'] = command["command"]["parameters"]['x']
lineparams['y2'] = command["command"]["parameters"]['y']
lineparams['style'] = interpretCommand(command, arg)
return '<%s />' % (formatParamDict(lineparams, 'line'), )
except KeyError as ke:
pass
elif 'type' in command and command['type'] == 'movement':
#work on a postprocessed command
try:
if command ['distance'] > 0:
#line
lineparams = dict({
'x1': command['from']['x'],
'y1': command['from']['y'],
'x2': command['to']['x'],
'y2': command['to']['y'],
'style': interpretCommand(command, arg)
})
return '<%s />' % (formatParamDict(lineparams, 'line'), )
else:
#reversal?
if command['volume'] < 0:
#reverse
color = 'blue'
elif command['volume'] > 0:
#restart
color = 'red'
else:
color = 'rgb(0,255,0)'
roundparams = dict({
'cx': command['to']['x'],
'cy': command['to']['y'],
'r': 4.0,
'stroke': 'none',
'fill': color
})
return '<%s />' % (formatParamDict(roundparams, 'circle'), )
except KeyError as ke:
pass
return None
def monolithicPre(commands, out_dir):
'''
Cause svg files to appear in out_dir/svg.
Return a list of file names written
'''
layer_num = 0
layer_name = None
oldCommands = []
outFiles = []
sys.stdout.write('\nRendering SVG files\n')
sys.stdout.flush()
for command in commands:
if 'layer' in command:
sys.stdout.write('.')
sys.stdout.flush()
if None is not layer_name:
ofilename = os.path.join(out_dir, 'svg', 'layer_%s.svg' % (layer_num))
with open(ofilename, 'w') as ofile:
writeSvg(ofile, [commandToSvg(c) for c in oldCommands])
outFiles.append(ofilename)
layer_name = command['layer']
layer_num += 1
oldCommands = []
else:
oldCommands.append(command)
return outFiles
def monolithicPost(commands, out_dir):
layer_num = 0
outFiles = []
sys.stdout.write('\nRendering SVG files\n')
sys.stdout.flush()
for layer in commands['layers']:
sys.stdout.write('.')
sys.stdout.flush()
ofilename = os.path.join(out_dir, 'svg', 'layer_%s.svg' % (layer_num))
outFiles.append(ofilename)
with open(ofilename, 'w') as ofile:
md = processedDistribution(layer['movements'])
lines = [commandToSvg(c, md) for c in layer['movements']]
#circles = ['<%s />' % formatParamDict(c, 'circle')
# for c in computeCurvature(layer['movements'])]
writeSvg(ofile, lines)
layer_num += 1
return outFiles
def monolithicFunc(commands, out_dir):
if isinstance(commands, dict) and 'layers' in commands:
return monolithicPost(commands, out_dir)
else:
return monolithicPre(commands, out_dir)
def renderIndex(listOfFiles, infile, output):
output.write('<html><head><title>%s</title></head><body>\n' % (infile))
output.write('<table>\n')
for file in listOfFiles:
output.write('\t<tr>\n')
output.write('\t\t<td>\n')
output.write('\t\t\t<a href=\"%s\">%s</a>\n' % (file, os.path.basename(file)))
output.write('\t\t</td>\n')
output.write('\t</tr>\n')
output.write('</table>\n')
output.write('</body></html>')
def main(argv = None):
if None is argv:
argv = sys.argv
args = parseArgs(argv[1:])
if None is args.OUTPUT_PATH:
args.OUTPUT_PATH = os.path.dirname(args.json_path)
OUTPUT_SVG = os.path.join(args.OUTPUT_PATH, 'svg')
if not os.path.exists(OUTPUT_SVG):
os.makedirs(OUTPUT_SVG)
f = open(args.json_path)
json_file = json.load(f)
offsetCommands(json_file, (32.0,32.0), 10)
preprocessCommands(json_file)
commandsDict = postprocessCommands(json_file)
outFiles = monolithicFunc(commandsDict, args.OUTPUT_PATH)
with open(os.path.join(args.OUTPUT_PATH, 'index.html'), 'w') as outIndex:
renderIndex(outFiles, os.path.basename(args.json_path), outIndex)
if __name__ == '__main__':
main()
| [
"alison.nj.leonard@gmail.com"
] | alison.nj.leonard@gmail.com |
6c77b0407a9a802d567bc0923cd32c4be391bf5a | 6c47652bc93ceef2b054fa9759481e70a22de2f1 | /225_Fig2g_diableN_y.py | 4cca2a370829a583b5c2fbe0d662617cc0710a97 | [] | no_license | peakqi/RaI | 4c174840ce5affa4dde3990892fb48903b9766a2 | 6528cc100506e3a491d665d09d620ac9be3013a3 | refs/heads/master | 2020-05-25T10:47:43.976805 | 2019-05-22T05:08:09 | 2019-05-22T05:08:09 | 187,766,577 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 15,991 | py | import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data
import matplotlib.pyplot as plt
import numpy as np
from imgaug import augmenters as iaa
import os
import scipy as sp
from sklearn import linear_model
from sklearn.metrics import r2_score
from sklearn.metrics import mean_squared_error
LearningRate = 0.001
# shrink to 0.60
def affine_transform_60(b_x):
xx = np.random.uniform(low=0, high=0, size=1) # (-0.5,0.5)
yy = np.random.uniform(low=0, high=0, size=1)
sx = np.random.uniform(low=0.60, high=0.60, size=1) # (.5,1.2)
sy = np.random.uniform(low=0.60, high=0.60, size=1)
rr = np.random.uniform(low=0, high=0, size=1) # (-0.5,0.5)
sz1, sz2 = b_x.shape
images = b_x.reshape([sz1, 28, 28, 1])
seq = iaa.Sequential(
[iaa.Affine(translate_percent={"x": xx, "y": yy}, scale={"x": sx, "y": sy}, rotate=rr * 180, )])
images_aug = seq.augment_images(images)
b_x = np.reshape(images_aug, [sz1, sz2])
return b_x, np.concatenate((xx, yy, rr), axis=0)
# mv x
def affine_transform_rand_x(b_x):
xx = np.random.uniform(low=-0.2, high=0.2, size=1) # (-0.5,0.5)
yy = 0
sx = 1 # (.5,1.2)
sy = 1
rr = 0 # (-0.5,0.5)
sz1, sz2 = b_x.shape
images = b_x.reshape([sz1, 28, 28, 1])
seq = iaa.Sequential(
[iaa.Affine(translate_percent={"x": xx, "y": yy}, scale={"x": sx, "y": sy}, rotate=rr * 180, )])
images_aug = seq.augment_images(images)
b_x = np.reshape(images_aug, [sz1, sz2])
return b_x
# mv y
def affine_transform_rand_y(b_x):
xx = 0 # (-0.5,0.5)
yy = np.random.uniform(low=-0.2, high=0.2, size=1)
sx = 1 # (.5,1.2)
sy = 1
rr = 0 # (-0.5,0.5)
sz1, sz2 = b_x.shape
images = b_x.reshape([sz1, 28, 28, 1])
seq = iaa.Sequential(
[iaa.Affine(translate_percent={"x": xx, "y": yy}, scale={"x": sx, "y": sy}, rotate=rr * 180, )])
images_aug = seq.augment_images(images)
b_x = np.reshape(images_aug, [sz1, sz2])
return b_x, np.concatenate((xx, yy, rr), axis=0)
# rtt
def affine_transform_rand_r(b_x):
xx = 0 # (-0.5,0.5)
yy = 0
sx = 1 # (.5,1.2)
sy = 1
rr = np.random.uniform(low=-0.2, high=0.2, size=1) # (-0.5,0.5)
sz1, sz2 = b_x.shape
images = b_x.reshape([sz1, 28, 28, 1])
seq = iaa.Sequential(
[iaa.Affine(translate_percent={"x": xx, "y": yy}, scale={"x": sx, "y": sy}, rotate=rr * 180, )])
images_aug = seq.augment_images(images)
b_x = np.reshape(images_aug, [sz1, sz2])
return b_x
#mv x=deltaX
def affine_transform_delta_x(b_x,deltaX):
xx = deltaX # (-0.5,0.5)
yy = 0
sx = 1 # (.5,1.2)
sy = 1
rr = 0 # (-0.5,0.5)
sz1, sz2 = b_x.shape
images = b_x.reshape([sz1, 28, 28, 1])
seq = iaa.Sequential(
[iaa.Affine(translate_percent={"x": xx, "y": yy}, scale={"x": sx, "y": sy}, rotate=rr * 180, )])
images_aug = seq.augment_images(images)
b_x = np.reshape(images_aug, [sz1, sz2])
return b_x
def affine_transform_delta_y(b_x,deltaY):
xx = 0 # (-0.5,0.5)
yy = deltaY
sx = 1 # (.5,1.2)
sy = 1
rr = 0 # (-0.5,0.5)
sz1, sz2 = b_x.shape
images = b_x.reshape([sz1, 28, 28, 1])
seq = iaa.Sequential(
[iaa.Affine(translate_percent={"x": xx, "y": yy}, scale={"x": sx, "y": sy}, rotate=rr * 180, )])
images_aug = seq.augment_images(images)
b_x = np.reshape(images_aug, [sz1, sz2])
return b_x
XX = 0.2
SX1 = .5
SX2 = 0.7
RX = 0.2
# total mv
def affine_transform1(b_x):
xx = np.random.uniform(low=-XX, high=XX, size=1) # (-0.5,0.5)
yy = np.random.uniform(low=-XX, high=XX, size=1)
sx = np.random.uniform(low=SX1, high=SX2, size=1) # (.5,1.2)
sy = np.random.uniform(low=SX1, high=SX2, size=1)
rr = np.random.uniform(low=-RX, high=RX, size=1) # (-0.5,0.5)
sz1, sz2 = b_x.shape
images = b_x.reshape([sz1, 28, 28, 1])
seq = iaa.Sequential(
[iaa.Affine(translate_percent={"x": xx, "y": yy}, scale={"x": sx, "y": sy}, rotate=rr * 180, )])
images_aug = seq.augment_images(images)
b_x = np.reshape(images_aug, [sz1, sz2])
return b_x, np.concatenate((xx, yy, rr), axis=0)
def cal_w_stats(we, wep):
wed = we - wep;
wed_max = np.amax(wed);
wed_min = np.amin(wed);
wed_avg = np.average(wed);
wed_abs_avg = np.average(np.abs(wed));
we_std = np.std(we);
we_avg = np.average(we)
we_absavg = np.average(np.abs(we))
return np.concatenate((wed_max.reshape([1]), wed_min.reshape([1]), wed_avg.reshape([1]), wed_abs_avg.reshape([1]),
we_std.reshape([1]), we_avg.reshape([1]),we_absavg.reshape([1])))
tf.set_random_seed(1)
BATCH_SIZE = 128
N_TEST_IMG = 10
x_step=100;x_step2=x_step/2;
x=(np.arange(x_step)-x_step2)/x_step2*0.2
mnist = input_data.read_data_sets('./mnist', one_hot=False) # use not one-hotted target data
test_x = mnist.test.images[:BATCH_SIZE]
test_x, para = affine_transform_60(test_x) #(128, 784) All chg to 0.60 size
for i in range(BATCH_SIZE):
test_x[i, :] = affine_transform_rand_r(np.reshape(test_x[i], [1, 784])) #rtt
test_x[i, :] = affine_transform_rand_x(np.reshape(test_x[i], [1, 784])) #mv y
test_x_=np.zeros([x_step,BATCH_SIZE,784])
for i in range(x_step):
test_x_[i,:,:]=affine_transform_delta_y(test_x,x[i]) #mv x=deltaX (deltx,Batch,784)
v_step=10;v_step2=v_step/2;VIEW_SIZE=3
v=(np.arange(v_step)-v_step2)/v_step2*0.2
view_x = mnist.test.images[BATCH_SIZE+1:BATCH_SIZE+1+VIEW_SIZE]
view_x, para = affine_transform_60(view_x)
for i in range(VIEW_SIZE):
view_x[i, :] = affine_transform_rand_r(np.reshape(view_x[i], [1, 784])) #rtt
view_x[i, :] = affine_transform_rand_x(np.reshape(view_x[i], [1, 784])) #mv y
view_x_=np.zeros([v_step,VIEW_SIZE,784])
for i in range(v_step):
view_x_[i,:,:]=affine_transform_delta_y(view_x,v[i]) #mv x=deltaX (deltx,Batch,784)
scale1 = 4
n_l0 = 64 * scale1;
n_l1 = 32 * scale1;
n_l2 = 16 * scale1;
n_l3 = 8 * scale1;
n_encoded = 32 # 4*scale1#pow(4,ii)
n_d0 = 8 * scale1;
n_d1 = 16 * scale1;
n_d2 = 32 * scale1;
n_d3 = 64 * scale1;
n_decoded = 784
print(n_encoded)
type = '_n_' + str(n_encoded) + '-batch' + str(BATCH_SIZE) + '-lr' + str(LearningRate) + '-' + str(XX) + '-' + str(
SX1) + '-' + str(SX2) + '-' + str(RX) + '-'
# tf placeholder
tf_x = tf.placeholder(tf.float32, [None, 28 * 28]) # value in the range of (0, 1)
ph_encoded = tf.placeholder(tf.float32, [None, n_encoded])
ph_switch = tf.placeholder(tf.float32, [1])
ph_lr = tf.placeholder(tf.float32, [])
ph_dis_e = tf.placeholder(tf.float32, [None, n_encoded])
# encoder
en0 = tf.layers.dense(tf_x, n_l0, tf.nn.sigmoid)
en1 = tf.layers.dense(en0, n_l1, tf.nn.sigmoid)
en2 = tf.layers.dense(en1, n_l2, tf.nn.sigmoid)
en3 = tf.layers.dense(en2, n_l3, tf.nn.sigmoid)
ff_encoded = tf.layers.dense(en3, n_encoded, tf.nn.sigmoid)
enc = ff_encoded * ph_switch + ph_encoded * (1 - ph_switch)
encoded = tf.multiply(enc, ph_dis_e)
# decoder
de0 = tf.layers.dense(encoded, n_d0, tf.nn.sigmoid)
de1 = tf.layers.dense(de0, n_d1, tf.nn.sigmoid)
de2 = tf.layers.dense(de1, n_d2, tf.nn.sigmoid)
de3 = tf.layers.dense(de2, n_d3, tf.nn.sigmoid)
decoded = tf.layers.dense(de3, n_decoded, tf.nn.sigmoid)
loss = tf.losses.mean_squared_error(labels=tf_x, predictions=decoded)
train = tf.train.AdamOptimizer(ph_lr).minimize(loss)
weights_en0 = tf.get_default_graph().get_tensor_by_name(os.path.split(en0.name)[0] + '/kernel:0')
weights_en1 = tf.get_default_graph().get_tensor_by_name(os.path.split(en1.name)[0] + '/kernel:0')
weights_en2 = tf.get_default_graph().get_tensor_by_name(os.path.split(en2.name)[0] + '/kernel:0')
weights_en3 = tf.get_default_graph().get_tensor_by_name(os.path.split(en3.name)[0] + '/kernel:0')
weights_mid = tf.get_default_graph().get_tensor_by_name(os.path.split(ff_encoded.name)[0] + '/kernel:0')
weights_de0 = tf.get_default_graph().get_tensor_by_name(os.path.split(de0.name)[0] + '/kernel:0')
weights_de1 = tf.get_default_graph().get_tensor_by_name(os.path.split(de1.name)[0] + '/kernel:0')
weights_de2 = tf.get_default_graph().get_tensor_by_name(os.path.split(de2.name)[0] + '/kernel:0')
weights_de3 = tf.get_default_graph().get_tensor_by_name(os.path.split(de3.name)[0] + '/kernel:0')
weights_ddr = tf.get_default_graph().get_tensor_by_name(os.path.split(decoded.name)[0] + '/kernel:0')
sess = tf.Session()
sess.run(tf.global_variables_initializer())
ph_encoded_ = np.zeros(shape=[BATCH_SIZE, n_encoded])
ph_switch_ = np.ones(shape=[1])
ph_dis_e_ = np.ones(shape=[BATCH_SIZE, n_encoded])
saver = tf.train.Saver()
nx = 0
type = '_n_32-batch128-lr0.001-0.2-0.5-0.7-0.2-nx0'
saver.restore(sess, '/Users/fengqi/Pycharm_py36/QF/4900000/' + type)
rows = ['{}'.format(row) for row in ['x1', 'x1_', 'a', 'a1_', 'd_a', '|d_a|','e_chg-e']]
LearningRate = 0.001
ph_lr_ = np.ones(shape=[]) * LearningRate
col = np.ones([1, n_l0]);
col = np.concatenate([col, np.ones([1, n_l1]) * 0.8, np.ones([1, n_l2]) * 0.6, np.ones([1, n_l3]) * 0.4,
np.ones([1, n_encoded]) * 0.2,
np.ones([1, n_d0]) * 0.4, np.ones([1, n_d1]) * 0.6, np.ones([1, n_d2]) * 0.8,
np.ones([1, n_d3]) * 1.0], axis=1)
####### compute corr #######
#test_x_ (100,128,784)
count = 0
cc=np.zeros([BATCH_SIZE,992])
pp=np.zeros([BATCH_SIZE,992])
for i in range(x_step):
xdata=np.reshape(test_x_[i,:,:],(BATCH_SIZE,784))
view_decoded_data, we0, we1, we2, we3, wem, wd0, wd1, wd2, wd3, wdd, en0_, en1_, en2_, en3_, ff_encoded_, de0_, de1_, de2_, de3_, ddr_ = sess.run(
[decoded, weights_en0, weights_en1, weights_en2, weights_en3, weights_mid,
weights_de0, weights_de1, weights_de2, weights_de3, weights_ddr, en0, en1, en2, en3, ff_encoded, de0, de1,
de2, de3, decoded],
{tf_x: xdata,
ph_encoded: ph_encoded_,
ph_switch: ph_switch_,
ph_dis_e: ph_dis_e_})
act = np.concatenate([en0_, en1_, en2_, en3_, ff_encoded_, de0_, de1_, de2_, de3_], axis=1)
if i ==0:
sz_act = act.shape; sz_act_length = sz_act[1];
act_mat=np.zeros([x_step,BATCH_SIZE,sz_act_length]) #(100, 128, 992)
act_mat[i,:,:] = act
for i in range(BATCH_SIZE):
print(str(i))
for j in range(992):
#corrcoeff=np.corrcoef(act_mat[:,i,j],x)
[corrcoeff,pval]=sp.stats.pearsonr(act_mat[:,i,j],x)
cc[i,j]=corrcoeff#(128, 992)
pp[i,j]=pval
#
# cc_avg=np.average(cc,axis=0)
# pp_avg=np.average(pp,axis=0)
# ind=np.where(pp_avg<0.01)
# nx_e = cc_avg[480:512]
# ind_e = np.argsort(nx_e)
#
#
#
# for k in range(32):
# print(k)
# f, a = plt.subplots(12, v_step)
# for i in range(v_step): #left-right
# print(str(i))
#
# for l in range(11): #up-down
# if l==0:
# a[0][i].clear()
# a[0][i].imshow(np.reshape(view_x_[i,0 ], (28, 28)), cmap='gray')
# a[0][i].set_xticks(())
# a[0][i].set_yticks(())
#
# view_ph_encoded_ = np.zeros(shape=[VIEW_SIZE, n_encoded])
# view_ph_switch_ = np.ones(shape=[1])
# view_ph_dis_e_ = np.ones(shape=[VIEW_SIZE, n_encoded])
# view_decoded_data1, we0, we1, we2, we3, wem, wd0, wd1, wd2, wd3, wdd, en0_, en1_, en2_, en3_, ff_encoded_, encoded_1, de0_, de1_, de2_, de3_, ddr_ = sess.run(
# [decoded, weights_en0, weights_en1, weights_en2, weights_en3, weights_mid,
# weights_de0, weights_de1, weights_de2, weights_de3, weights_ddr, en0, en1, en2, en3, ff_encoded,
# encoded, de0, de1,
# de2, de3, decoded],
# {tf_x: view_x_[i],
# ph_encoded: view_ph_encoded_,
# ph_switch: view_ph_switch_,
# ph_dis_e: view_ph_dis_e_})
# if l==0:
# flag_1=np.round(ff_encoded_[0,k]*10)
#
# view_ph_encoded_ = ff_encoded_
# view_ph_switch_ = np.zeros(shape=[1])
# view_ph_dis_e_ = np.ones(shape=[VIEW_SIZE, n_encoded])
# view_ph_encoded_[:,k]=1- l / 10
# view_decoded_data1, we0, we1, we2, we3, wem, wd0, wd1, wd2, wd3, wdd, en0_, en1_, en2_, en3_, ff_encoded_, encoded_1, de0_, de1_, de2_, de3_, ddr_ = sess.run(
# [decoded, weights_en0, weights_en1, weights_en2, weights_en3, weights_mid,
# weights_de0, weights_de1, weights_de2, weights_de3, weights_ddr, en0, en1, en2, en3, ff_encoded,
# encoded, de0, de1,
# de2, de3, decoded],
# {tf_x: view_x_[i],
# ph_encoded: view_ph_encoded_,
# ph_switch: view_ph_switch_,
# ph_dis_e: view_ph_dis_e_})
#
#
# a[l+1][i].clear()
# a[l+1][i].imshow(np.reshape(view_decoded_data1[0], (28, 28)), cmap='gray')
# a[l+1][i].set_xticks(())
# a[l+1][i].set_yticks(())
# if flag_1==10-l:
# im=np.reshape(view_decoded_data1[0], (28, 28))
# im[25:27,:]=0.5;
# a[l + 1][i].imshow(im, cmap='gray')
#
# plt.subplots_adjust(left=0.2, right=0.8, bottom=0, top=1, wspace=0.05, hspace=0.05)
# plt.savefig('./test/5test_chg_ny_' + str(k) + '.png')
#
#
#
# aaaa = 1
#
#
#
#
cc_avg=np.average(cc,axis=0)
pp_avg=np.average(pp,axis=0)
ind=np.where(pp_avg<0.01)
nx_e = cc_avg[480:512]
ind_e = np.argsort(nx_e)
for k in range(32):
print(k)
f, a = plt.subplots(12, v_step)
for i in range(v_step): #left-right
print(str(i))
for l in range(11): #up-down
if l==0:
a[0][i].clear()
a[0][i].imshow(np.reshape(view_x_[i,1], (28, 28)), cmap='gray')
a[0][i].set_xticks(())
a[0][i].set_yticks(())
view_ph_encoded_ = np.zeros(shape=[VIEW_SIZE, n_encoded])
view_ph_switch_ = np.ones(shape=[1])
view_ph_dis_e_ = np.ones(shape=[VIEW_SIZE, n_encoded])
view_decoded_data1, we0, we1, we2, we3, wem, wd0, wd1, wd2, wd3, wdd, en0_, en1_, en2_, en3_, ff_encoded_, encoded_1, de0_, de1_, de2_, de3_, ddr_ = sess.run(
[decoded, weights_en0, weights_en1, weights_en2, weights_en3, weights_mid,
weights_de0, weights_de1, weights_de2, weights_de3, weights_ddr, en0, en1, en2, en3, ff_encoded,
encoded, de0, de1,
de2, de3, decoded],
{tf_x: view_x_[i],
ph_encoded: view_ph_encoded_,
ph_switch: view_ph_switch_,
ph_dis_e: view_ph_dis_e_})
if l==0:
flag_1=np.round(ff_encoded_[1,k]*10)
view_ph_encoded_ = ff_encoded_
view_ph_switch_ = np.zeros(shape=[1])
view_ph_dis_e_ = np.ones(shape=[VIEW_SIZE, n_encoded])
view_ph_encoded_[:,k]=1- l / 10
view_decoded_data1, we0, we1, we2, we3, wem, wd0, wd1, wd2, wd3, wdd, en0_, en1_, en2_, en3_, ff_encoded_, encoded_1, de0_, de1_, de2_, de3_, ddr_ = sess.run(
[decoded, weights_en0, weights_en1, weights_en2, weights_en3, weights_mid,
weights_de0, weights_de1, weights_de2, weights_de3, weights_ddr, en0, en1, en2, en3, ff_encoded,
encoded, de0, de1,
de2, de3, decoded],
{tf_x: view_x_[i],
ph_encoded: view_ph_encoded_,
ph_switch: view_ph_switch_,
ph_dis_e: view_ph_dis_e_})
a[l+1][i].clear()
a[l+1][i].imshow(np.reshape(view_decoded_data1[1], (28, 28)), cmap='gray')
a[l+1][i].set_xticks(())
a[l+1][i].set_yticks(())
if flag_1==10-l:
im=np.reshape(view_decoded_data1[1], (28, 28))
im[25:27,:]=0.5;
a[l + 1][i].imshow(im, cmap='gray')
plt.subplots_adjust(left=0.2, right=0.8, bottom=0, top=1, wspace=0.05, hspace=0.05)
plt.savefig('./test/6test_chg_ny_' + str(k) + '.png')
aaaa = 1
| [
"noreply@github.com"
] | peakqi.noreply@github.com |
cb221e365a5489dbd72b5c99e681b6870802a23a | 70ae772afdabea4213c64ac1e8b824a2dd258611 | /FaceRecognition/recognize_specific_face_def.py | e5de6cd5d2c65262dd9fe9894366d3690ead13da | [] | no_license | IdoSeri/DavidsonProject | aa54dc3f07e09ac2a0a9c844a52f6ee5a4ff225c | 87dbd48628ece0d55eed4c76d82b63100ce51ca4 | refs/heads/master | 2022-04-16T22:33:11.923149 | 2020-04-16T09:47:40 | 2020-04-16T09:47:40 | 250,328,967 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 2,025 | py | # import the necessary packages
from imutils.video import VideoStream
import face_recognition
import imutils
import pickle
import time
import cv2
def recognize_face():
# load the known faces and embeddings
data = pickle.loads(open("FaceRecognition/encodings.pickle", "rb").read())
# initialize the video stream
vs = VideoStream(src=0).start()
time.sleep(2.0)
name =""
# loop over frames from the video file stream
while name=="":
# grab the frame from the threaded video stream
frame = vs.read()
# convert the input frame from BGR to RGB then resize it to have
# a width of 750px (to speedup processing)
rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
rgb = imutils.resize(frame, width=750)
r = frame.shape[1] / float(rgb.shape[1])
# detect the (x, y)-coordinates of the bounding boxes corresponding to each face in the frame
boxes= face_recognition.face_locations(rgb, model="cnn")
# compute the facial embeddings for each face
encodings = face_recognition.face_encodings(rgb, boxes)
# loop over the facial embeddings
for encoding in encodings:
# attempt to match each face in the input image to our known encodings
matches = face_recognition.compare_faces(data["encodings"], encoding)
# check to see if we have found a match
if True in matches:
# find the indexes of all matched faces then initialize a
# dictionary to count the total number of times each face
# was matched
matchedIdxs = [i for (i, b) in enumerate(matches) if b]
counts = {}
# loop over the matched indexes and maintain a count for
# each recognized face face
for i in matchedIdxs:
name = data["names"][i]
counts[name] = counts.get(name, 0) + 1
# determine the recognized face with the largest number
# of votes (note: in the event of an unlikely tie Python
# will select first entry in the dictionary)
name = max(counts, key=counts.get)
# cleanup
cv2.destroyAllWindows()
vs.stop()
# send the recognized name
return name | [
"noreply@github.com"
] | IdoSeri.noreply@github.com |
c5673a94f94f72233370c9935ad7b182c58ba065 | 47a98fed42dc2e0b589e3f08ff9342a3d924c7ac | /pyblog/XDG_CACHE_HOME/Microsoft/Python Language Server/stubs.v1/epXVRECNA2MadRw60lZ38aCPhTXzoduilN38-UtKc2M=/python.sys.pyi | cb99aafec30445a55c1b4a04ac86042755257854 | [] | no_license | mehedi432/python | bd1c592edd622ae435c9f81c0771684048290e0a | 725236e1b700ef41612ccf4f2aaccdf9bc1586d4 | refs/heads/master | 2020-06-06T22:31:44.548167 | 2019-06-28T07:15:27 | 2019-06-28T07:15:27 | 145,439,734 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 36,814 | pyi | import _io as _mod__io
import builtins as _mod_builtins
import types as _mod_types
def __displayhook__():
'displayhook(object) -> None\n\nPrint an object to sys.stdout and also save it in builtins._\n'
pass
__doc__ = "This module provides access to some objects used or maintained by the\ninterpreter and to functions that interact strongly with the interpreter.\n\nDynamic objects:\n\nargv -- command line arguments; argv[0] is the script pathname if known\npath -- module search path; path[0] is the script directory, else ''\nmodules -- dictionary of loaded modules\n\ndisplayhook -- called to show results in an interactive session\nexcepthook -- called to handle any uncaught exception other than SystemExit\n To customize printing in an interactive session or to install a custom\n top-level exception handler, assign other functions to replace these.\n\nstdin -- standard input file object; used by input()\nstdout -- standard output file object; used by print()\nstderr -- standard error object; used for error messages\n By assigning other file objects (or objects that behave like files)\n to these, it is possible to redirect all of the interpreter's I/O.\n\nlast_type -- type of last uncaught exception\nlast_value -- value of last uncaught exception\nlast_traceback -- traceback of last uncaught exception\n These three are only available in an interactive session after a\n traceback has been printed.\n\nStatic objects:\n\nbuiltin_module_names -- tuple of module names built into this interpreter\ncopyright -- copyright notice pertaining to this interpreter\nexec_prefix -- prefix used to find the machine-specific Python library\nexecutable -- absolute path of the executable binary of the Python interpreter\nfloat_info -- a struct sequence with information about the float implementation.\nfloat_repr_style -- string indicating the style of repr() output for floats\nhash_info -- a struct sequence with information about the hash algorithm.\nhexversion -- version information encoded as a single integer\nimplementation -- Python implementation information.\nint_info -- a struct sequence with information about the int implementation.\nmaxsize -- the largest supported length of containers.\nmaxunicode -- the value of the largest Unicode code point\nplatform -- platform identifier\nprefix -- prefix used to find the Python library\nthread_info -- a struct sequence with information about the thread implementation.\nversion -- the version of this interpreter as a string\nversion_info -- version information as a named tuple\n__stdin__ -- the original stdin; don't touch!\n__stdout__ -- the original stdout; don't touch!\n__stderr__ -- the original stderr; don't touch!\n__displayhook__ -- the original displayhook; don't touch!\n__excepthook__ -- the original excepthook; don't touch!\n\nFunctions:\n\ndisplayhook() -- print an object to the screen, and save it in builtins._\nexcepthook() -- print an exception and its traceback to sys.stderr\nexc_info() -- return thread-safe information about the current exception\nexit() -- exit the interpreter by raising SystemExit\ngetdlopenflags() -- returns flags to be used for dlopen() calls\ngetprofile() -- get the global profiling function\ngetrefcount() -- return the reference count for an object (plus one :-)\ngetrecursionlimit() -- return the max recursion depth for the interpreter\ngetsizeof() -- return the size of an object in bytes\ngettrace() -- get the global debug tracing function\nsetcheckinterval() -- control how often the interpreter checks for events\nsetdlopenflags() -- set the flags to be used for dlopen() calls\nsetprofile() -- set the global profiling function\nsetrecursionlimit() -- set the max recursion depth for the interpreter\nsettrace() -- set the global debug tracing function\n"
def __excepthook__():
'excepthook(exctype, value, traceback) -> None\n\nHandle an exception by displaying it with a traceback on sys.stderr.\n'
pass
def __interactivehook__():
pass
__name__ = 'sys'
__package__ = ''
__stderr__ = _mod__io.TextIOWrapper()
__stdin__ = _mod__io.TextIOWrapper()
__stdout__ = _mod__io.TextIOWrapper()
def _clear_type_cache():
'_clear_type_cache() -> None\nClear the internal type lookup cache.'
pass
def _current_frames():
"_current_frames() -> dictionary\n\nReturn a dictionary mapping each current thread T's thread id to T's\ncurrent stack frame.\n\nThis function should be used for specialized purposes only."
return dict()
def _debugmallocstats():
"_debugmallocstats()\n\nPrint summary info to stderr about the state of\npymalloc's structures.\n\nIn Py_DEBUG mode, also perform some expensive internal consistency\nchecks.\n"
pass
def _getframe(depth=None):
'_getframe([depth]) -> frameobject\n\nReturn a frame object from the call stack. If optional integer depth is\ngiven, return the frame object that many calls below the top of the stack.\nIf that is deeper than the call stack, ValueError is raised. The default\nfor depth is zero, returning the frame at the top of the call stack.\n\nThis function should be used for internal and specialized\npurposes only.'
pass
_git = _mod_builtins.tuple()
_home = '/usr/bin'
_xoptions = _mod_builtins.dict()
abiflags = 'm'
api_version = 1013
argv = _mod_builtins.list()
base_exec_prefix = '/usr'
base_prefix = '/usr'
builtin_module_names = _mod_builtins.tuple()
byteorder = 'little'
def call_tracing(func, args):
'call_tracing(func, args) -> object\n\nCall func(*args), while tracing is enabled. The tracing state is\nsaved, and restored afterwards. This is intended to be called from\na debugger from a checkpoint, to recursively debug some other code.'
pass
def callstats():
'callstats() -> tuple of integers\n\nReturn a tuple of function call statistics, if CALL_PROFILE was defined\nwhen Python was built. Otherwise, return None.\n\nWhen enabled, this function returns detailed, implementation-specific\ndetails about the number of function calls executed. The return value is\na 11-tuple where the entries in the tuple are counts of:\n0. all function calls\n1. calls to PyFunction_Type objects\n2. PyFunction calls that do not create an argument tuple\n3. PyFunction calls that do not create an argument tuple\n and bypass PyEval_EvalCodeEx()\n4. PyMethod calls\n5. PyMethod calls on bound methods\n6. PyType calls\n7. PyCFunction calls\n8. generator calls\n9. All other calls\n10. Number of stack pops performed by call_function()'
pass
copyright = 'Copyright (c) 2001-2018 Python Software Foundation.\nAll Rights Reserved.\n\nCopyright (c) 2000 BeOpen.com.\nAll Rights Reserved.\n\nCopyright (c) 1995-2001 Corporation for National Research Initiatives.\nAll Rights Reserved.\n\nCopyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam.\nAll Rights Reserved.'
def displayhook(object):
'displayhook(object) -> None\n\nPrint an object to sys.stdout and also save it in builtins._\n'
pass
dont_write_bytecode = True
def exc_info():
'exc_info() -> (type, value, traceback)\n\nReturn information about the most recent exception caught by an except\nclause in the current stack frame or in an older stack frame.'
return tuple()
def excepthook(exctype, value, traceback):
'excepthook(exctype, value, traceback) -> None\n\nHandle an exception by displaying it with a traceback on sys.stderr.\n'
pass
exec_prefix = '/home/mehedi/python/blog/venv'
executable = '/home/mehedi/python/blog/venv/bin/python'
def exit(status=None):
'exit([status])\n\nExit the interpreter by raising SystemExit(status).\nIf the status is omitted or None, it defaults to zero (i.e., success).\nIf the status is an integer, it will be used as the system exit status.\nIf it is another kind of object, it will be printed and the system\nexit status will be one (i.e., failure).'
pass
class flags(_mod_builtins.tuple):
'sys.flags\n\nFlags provided through command line arguments or environment vars.'
@staticmethod
def __add__(self, value):
'Return self+value.'
return __T__()
__class__ = flags
@staticmethod
def __contains__(self, key):
'Return key in self.'
return False
@staticmethod
def __delattr__(self, name):
'Implement delattr(self, name).'
return None
@staticmethod
def __dir__(self):
'__dir__() -> list\ndefault dir() implementation'
return ['']
@staticmethod
def __eq__(self, value):
'Return self==value.'
return False
@staticmethod
def __format__(self, format_spec):
'default object formatter'
return ''
@staticmethod
def __ge__(self, value):
'Return self>=value.'
return False
@staticmethod
def __getattribute__(self, name):
'Return getattr(self, name).'
pass
@staticmethod
def __getitem__(self, key):
'Return self[key].'
pass
@staticmethod
def __getnewargs__(self):
return ()
@staticmethod
def __gt__(self, value):
'Return self>value.'
return False
@staticmethod
def __hash__(self):
'Return hash(self).'
return 0
@staticmethod
def __init__(self, *args, **kwargs):
'sys.flags\n\nFlags provided through command line arguments or environment vars.'
pass
@staticmethod
def __init_subclass__(cls):
'This method is called when a class is subclassed.\n\nThe default implementation does nothing. It may be\noverridden to extend subclasses.\n'
return None
@staticmethod
def __iter__(self):
'Implement iter(self).'
return __T__()
@staticmethod
def __le__(self, value):
'Return self<=value.'
return False
@staticmethod
def __len__(self):
'Return len(self).'
return 0
@staticmethod
def __lt__(self, value):
'Return self<value.'
return False
@staticmethod
def __mul__(self, value):
'Return self*value.'
return __T__()
@staticmethod
def __ne__(self, value):
'Return self!=value.'
return False
@staticmethod
def __reduce__(self):
return ''; return ()
@staticmethod
def __reduce_ex__(self, protocol):
'helper for pickle'
return ''; return ()
@staticmethod
def __repr__(self):
'Return repr(self).'
return ''
@staticmethod
def __rmul__(self, value):
'Return value*self.'
return __T__()
@staticmethod
def __setattr__(self, name, value):
'Implement setattr(self, name, value).'
return None
@staticmethod
def __sizeof__(self):
'__sizeof__() -> int\nsize of object in memory, in bytes'
return 0
@staticmethod
def __str__(self):
'Return str(self).'
return ''
@staticmethod
def __subclasshook__(cls, subclass):
'Abstract classes can override this to customize issubclass().\n\nThis is invoked early on by abc.ABCMeta.__subclasscheck__().\nIt should return True, False or NotImplemented. If it returns\nNotImplemented, the normal algorithm is used. Otherwise, it\noverrides the normal algorithm (and the outcome is cached).\n'
return False
bytes_warning = 0
@staticmethod
def count():
'T.count(value) -> integer -- return number of occurrences of value'
return 1
debug = 0
dont_write_bytecode = 1
hash_randomization = 1
ignore_environment = 1
@staticmethod
def index():
'T.index(value, [start, [stop]]) -> integer -- return first index of value.\nRaises ValueError if the value is not present.'
return 1
inspect = 0
interactive = 0
isolated = 0
n_fields = 13
n_sequence_fields = 13
n_unnamed_fields = 0
no_site = 0
no_user_site = 0
optimize = 0
quiet = 0
verbose = 0
class __float_info(_mod_builtins.tuple):
"sys.float_info\n\nA structseq holding information about the float type. It contains low level\ninformation about the precision and internal representation. Please study\nyour system's :file:`float.h` for more information."
def __add__(self, value):
'Return self+value.'
return __float_info()
__class__ = __float_info
def __contains__(self, key):
'Return key in self.'
return False
def __delattr__(self, name):
'Implement delattr(self, name).'
return None
@classmethod
def __dir__(self):
'__dir__() -> list\ndefault dir() implementation'
return ['']
def __eq__(self, value):
'Return self==value.'
return False
@classmethod
def __format__(self, format_spec):
'default object formatter'
return ''
def __ge__(self, value):
'Return self>=value.'
return False
def __getattribute__(self, name):
'Return getattr(self, name).'
pass
def __getitem__(self, key):
'Return self[key].'
pass
@classmethod
def __getnewargs__(self):
return ()
def __gt__(self, value):
'Return self>value.'
return False
def __hash__(self):
'Return hash(self).'
return 0
def __init__(self, *args, **kwargs):
"sys.float_info\n\nA structseq holding information about the float type. It contains low level\ninformation about the precision and internal representation. Please study\nyour system's :file:`float.h` for more information."
pass
@classmethod
def __init_subclass__(cls):
'This method is called when a class is subclassed.\n\nThe default implementation does nothing. It may be\noverridden to extend subclasses.\n'
return None
def __iter__(self):
'Implement iter(self).'
return __float_info()
def __le__(self, value):
'Return self<=value.'
return False
def __len__(self):
'Return len(self).'
return 0
def __lt__(self, value):
'Return self<value.'
return False
def __mul__(self, value):
'Return self*value.'
return __float_info()
def __ne__(self, value):
'Return self!=value.'
return False
@classmethod
def __reduce__(self):
return ''; return ()
@classmethod
def __reduce_ex__(self, protocol):
'helper for pickle'
return ''; return ()
def __repr__(self):
'Return repr(self).'
return ''
def __rmul__(self, value):
'Return value*self.'
return __float_info()
def __setattr__(self, name, value):
'Implement setattr(self, name, value).'
return None
@classmethod
def __sizeof__(self):
'__sizeof__() -> int\nsize of object in memory, in bytes'
return 0
def __str__(self):
'Return str(self).'
return ''
@classmethod
def __subclasshook__(cls, subclass):
'Abstract classes can override this to customize issubclass().\n\nThis is invoked early on by abc.ABCMeta.__subclasscheck__().\nIt should return True, False or NotImplemented. If it returns\nNotImplemented, the normal algorithm is used. Otherwise, it\noverrides the normal algorithm (and the outcome is cached).\n'
return False
@classmethod
def count(cls):
'T.count(value) -> integer -- return number of occurrences of value'
return 1
dig = 15
epsilon = 2.220446049250313e-16
@classmethod
def index(cls):
'T.index(value, [start, [stop]]) -> integer -- return first index of value.\nRaises ValueError if the value is not present.'
return 1
mant_dig = 53
max = 1.7976931348623157e+308
max_10_exp = 308
max_exp = 1024
min = 2.2250738585072014e-308
min_10_exp = -307
min_exp = -1021
n_fields = 11
n_sequence_fields = 11
n_unnamed_fields = 0
radix = 2
rounds = 1
float_repr_style = 'short'
def get_asyncgen_hooks():
'get_asyncgen_hooks()\n\nReturn a namedtuple of installed asynchronous generators hooks (firstiter, finalizer).'
pass
def get_coroutine_wrapper():
'get_coroutine_wrapper()\n\nReturn the wrapper for coroutine objects set by sys.set_coroutine_wrapper.'
pass
def getallocatedblocks():
'getallocatedblocks() -> integer\n\nReturn the number of memory blocks currently allocated, regardless of their\nsize.'
return 1
def getcheckinterval():
'getcheckinterval() -> current check interval; see setcheckinterval().'
pass
def getdefaultencoding():
'getdefaultencoding() -> string\n\nReturn the current default string encoding used by the Unicode \nimplementation.'
return ''
def getdlopenflags():
'getdlopenflags() -> int\n\nReturn the current value of the flags that are used for dlopen calls.\nThe flag constants are defined in the os module.'
return 1
def getfilesystemencodeerrors():
'getfilesystemencodeerrors() -> string\n\nReturn the error mode used to convert Unicode filenames in\noperating system filenames.'
return ''
def getfilesystemencoding():
'getfilesystemencoding() -> string\n\nReturn the encoding used to convert Unicode filenames in\noperating system filenames.'
return ''
def getprofile():
'getprofile()\n\nReturn the profiling function set with sys.setprofile.\nSee the profiler chapter in the library manual.'
pass
def getrecursionlimit():
'getrecursionlimit()\n\nReturn the current value of the recursion limit, the maximum depth\nof the Python interpreter stack. This limit prevents infinite\nrecursion from causing an overflow of the C stack and crashing Python.'
pass
def getrefcount(object):
'getrefcount(object) -> integer\n\nReturn the reference count of object. The count returned is generally\none higher than you might expect, because it includes the (temporary)\nreference as an argument to getrefcount().'
return 1
def getsizeof(object, default):
'getsizeof(object, default) -> int\n\nReturn the size of object in bytes.'
return 1
def getswitchinterval():
'getswitchinterval() -> current thread switch interval; see setswitchinterval().'
pass
def gettrace():
'gettrace()\n\nReturn the global debug tracing function set with sys.settrace.\nSee the debugger chapter in the library manual.'
pass
class __hash_info(_mod_builtins.tuple):
'hash_info\n\nA struct sequence providing parameters used for computing\nhashes. The attributes are read only.'
def __add__(self, value):
'Return self+value.'
return __hash_info()
__class__ = __hash_info
def __contains__(self, key):
'Return key in self.'
return False
def __delattr__(self, name):
'Implement delattr(self, name).'
return None
@classmethod
def __dir__(self):
'__dir__() -> list\ndefault dir() implementation'
return ['']
def __eq__(self, value):
'Return self==value.'
return False
@classmethod
def __format__(self, format_spec):
'default object formatter'
return ''
def __ge__(self, value):
'Return self>=value.'
return False
def __getattribute__(self, name):
'Return getattr(self, name).'
pass
def __getitem__(self, key):
'Return self[key].'
pass
@classmethod
def __getnewargs__(self):
return ()
def __gt__(self, value):
'Return self>value.'
return False
def __hash__(self):
'Return hash(self).'
return 0
def __init__(self, *args, **kwargs):
'hash_info\n\nA struct sequence providing parameters used for computing\nhashes. The attributes are read only.'
pass
@classmethod
def __init_subclass__(cls):
'This method is called when a class is subclassed.\n\nThe default implementation does nothing. It may be\noverridden to extend subclasses.\n'
return None
def __iter__(self):
'Implement iter(self).'
return __hash_info()
def __le__(self, value):
'Return self<=value.'
return False
def __len__(self):
'Return len(self).'
return 0
def __lt__(self, value):
'Return self<value.'
return False
def __mul__(self, value):
'Return self*value.'
return __hash_info()
def __ne__(self, value):
'Return self!=value.'
return False
@classmethod
def __reduce__(self):
return ''; return ()
@classmethod
def __reduce_ex__(self, protocol):
'helper for pickle'
return ''; return ()
def __repr__(self):
'Return repr(self).'
return ''
def __rmul__(self, value):
'Return value*self.'
return __hash_info()
def __setattr__(self, name, value):
'Implement setattr(self, name, value).'
return None
@classmethod
def __sizeof__(self):
'__sizeof__() -> int\nsize of object in memory, in bytes'
return 0
def __str__(self):
'Return str(self).'
return ''
@classmethod
def __subclasshook__(cls, subclass):
'Abstract classes can override this to customize issubclass().\n\nThis is invoked early on by abc.ABCMeta.__subclasscheck__().\nIt should return True, False or NotImplemented. If it returns\nNotImplemented, the normal algorithm is used. Otherwise, it\noverrides the normal algorithm (and the outcome is cached).\n'
return False
algorithm = 'siphash24'
@classmethod
def count(cls):
'T.count(value) -> integer -- return number of occurrences of value'
return 1
cutoff = 0
hash_bits = 64
imag = 1000003
@classmethod
def index(cls):
'T.index(value, [start, [stop]]) -> integer -- return first index of value.\nRaises ValueError if the value is not present.'
return 1
inf = 314159
modulus = 2305843009213693951
n_fields = 9
n_sequence_fields = 9
n_unnamed_fields = 0
nan = 0
seed_bits = 128
width = 64
hexversion = 50727152
implementation = _mod_types.SimpleNamespace()
class __int_info(_mod_builtins.tuple):
"sys.int_info\n\nA struct sequence that holds information about Python's\ninternal representation of integers. The attributes are read only."
def __add__(self, value):
'Return self+value.'
return __int_info()
__class__ = __int_info
def __contains__(self, key):
'Return key in self.'
return False
def __delattr__(self, name):
'Implement delattr(self, name).'
return None
@classmethod
def __dir__(self):
'__dir__() -> list\ndefault dir() implementation'
return ['']
def __eq__(self, value):
'Return self==value.'
return False
@classmethod
def __format__(self, format_spec):
'default object formatter'
return ''
def __ge__(self, value):
'Return self>=value.'
return False
def __getattribute__(self, name):
'Return getattr(self, name).'
pass
def __getitem__(self, key):
'Return self[key].'
pass
@classmethod
def __getnewargs__(self):
return ()
def __gt__(self, value):
'Return self>value.'
return False
def __hash__(self):
'Return hash(self).'
return 0
def __init__(self, *args, **kwargs):
"sys.int_info\n\nA struct sequence that holds information about Python's\ninternal representation of integers. The attributes are read only."
pass
@classmethod
def __init_subclass__(cls):
'This method is called when a class is subclassed.\n\nThe default implementation does nothing. It may be\noverridden to extend subclasses.\n'
return None
def __iter__(self):
'Implement iter(self).'
return __int_info()
def __le__(self, value):
'Return self<=value.'
return False
def __len__(self):
'Return len(self).'
return 0
def __lt__(self, value):
'Return self<value.'
return False
def __mul__(self, value):
'Return self*value.'
return __int_info()
def __ne__(self, value):
'Return self!=value.'
return False
@classmethod
def __reduce__(self):
return ''; return ()
@classmethod
def __reduce_ex__(self, protocol):
'helper for pickle'
return ''; return ()
def __repr__(self):
'Return repr(self).'
return ''
def __rmul__(self, value):
'Return value*self.'
return __int_info()
def __setattr__(self, name, value):
'Implement setattr(self, name, value).'
return None
@classmethod
def __sizeof__(self):
'__sizeof__() -> int\nsize of object in memory, in bytes'
return 0
def __str__(self):
'Return str(self).'
return ''
@classmethod
def __subclasshook__(cls, subclass):
'Abstract classes can override this to customize issubclass().\n\nThis is invoked early on by abc.ABCMeta.__subclasscheck__().\nIt should return True, False or NotImplemented. If it returns\nNotImplemented, the normal algorithm is used. Otherwise, it\noverrides the normal algorithm (and the outcome is cached).\n'
return False
bits_per_digit = 30
@classmethod
def count(cls):
'T.count(value) -> integer -- return number of occurrences of value'
return 1
@classmethod
def index(cls):
'T.index(value, [start, [stop]]) -> integer -- return first index of value.\nRaises ValueError if the value is not present.'
return 1
n_fields = 2
n_sequence_fields = 2
n_unnamed_fields = 0
sizeof_digit = 4
def intern(string):
"intern(string) -> string\n\n``Intern'' the given string. This enters the string in the (global)\ntable of interned strings whose purpose is to speed up dictionary lookups.\nReturn the string itself or the previously interned string object with the\nsame value."
return ''
def is_finalizing():
'is_finalizing()\nReturn True if Python is exiting.'
pass
maxsize = 9223372036854775807
maxunicode = 1114111
meta_path = _mod_builtins.list()
modules = _mod_builtins.dict()
path = _mod_builtins.list()
path_hooks = _mod_builtins.list()
path_importer_cache = _mod_builtins.dict()
platform = 'linux'
prefix = '/home/mehedi/python/blog/venv'
def set_asyncgen_hooks(*, firstiter=None, finalizer=None):
'set_asyncgen_hooks(*, firstiter=None, finalizer=None)\n\nSet a finalizer for async generators objects.'
pass
def set_coroutine_wrapper(wrapper):
'set_coroutine_wrapper(wrapper)\n\nSet a wrapper for coroutine objects.'
pass
def setcheckinterval(n):
'setcheckinterval(n)\n\nTell the Python interpreter to check for asynchronous events every\nn instructions. This also affects how often thread switches occur.'
pass
def setdlopenflags(n):
'setdlopenflags(n) -> None\n\nSet the flags used by the interpreter for dlopen calls, such as when the\ninterpreter loads extension modules. Among other things, this will enable\na lazy resolving of symbols when importing a module, if called as\nsys.setdlopenflags(0). To share symbols across extension modules, call as\nsys.setdlopenflags(os.RTLD_GLOBAL). Symbolic names for the flag modules\ncan be found in the os module (RTLD_xxx constants, e.g. os.RTLD_LAZY).'
pass
def setprofile(function):
'setprofile(function)\n\nSet the profiling function. It will be called on each function call\nand return. See the profiler chapter in the library manual.'
pass
def setrecursionlimit(n):
'setrecursionlimit(n)\n\nSet the maximum depth of the Python interpreter stack to n. This\nlimit prevents infinite recursion from causing an overflow of the C\nstack and crashing Python. The highest possible limit is platform-\ndependent.'
pass
def setswitchinterval(n):
'setswitchinterval(n)\n\nSet the ideal thread switching delay inside the Python interpreter\nThe actual frequency of switching threads can be lower if the\ninterpreter executes long sequences of uninterruptible code\n(this is implementation-specific and workload-dependent).\n\nThe parameter must represent the desired switching delay in seconds\nA typical value is 0.005 (5 milliseconds).'
pass
def settrace(function):
'settrace(function)\n\nSet the global debug tracing function. It will be called on each\nfunction call. See the debugger chapter in the library manual.'
pass
stderr = _mod__io.TextIOWrapper()
stdin = _mod__io.TextIOWrapper()
stdout = _mod__io.TextIOWrapper()
class __thread_info(_mod_builtins.tuple):
'sys.thread_info\n\nA struct sequence holding information about the thread implementation.'
def __add__(self, value):
'Return self+value.'
return __thread_info()
__class__ = __thread_info
def __contains__(self, key):
'Return key in self.'
return False
def __delattr__(self, name):
'Implement delattr(self, name).'
return None
@classmethod
def __dir__(self):
'__dir__() -> list\ndefault dir() implementation'
return ['']
def __eq__(self, value):
'Return self==value.'
return False
@classmethod
def __format__(self, format_spec):
'default object formatter'
return ''
def __ge__(self, value):
'Return self>=value.'
return False
def __getattribute__(self, name):
'Return getattr(self, name).'
pass
def __getitem__(self, key):
'Return self[key].'
pass
@classmethod
def __getnewargs__(self):
return ()
def __gt__(self, value):
'Return self>value.'
return False
def __hash__(self):
'Return hash(self).'
return 0
def __init__(self, *args, **kwargs):
'sys.thread_info\n\nA struct sequence holding information about the thread implementation.'
pass
@classmethod
def __init_subclass__(cls):
'This method is called when a class is subclassed.\n\nThe default implementation does nothing. It may be\noverridden to extend subclasses.\n'
return None
def __iter__(self):
'Implement iter(self).'
return __thread_info()
def __le__(self, value):
'Return self<=value.'
return False
def __len__(self):
'Return len(self).'
return 0
def __lt__(self, value):
'Return self<value.'
return False
def __mul__(self, value):
'Return self*value.'
return __thread_info()
def __ne__(self, value):
'Return self!=value.'
return False
@classmethod
def __reduce__(self):
return ''; return ()
@classmethod
def __reduce_ex__(self, protocol):
'helper for pickle'
return ''; return ()
def __repr__(self):
'Return repr(self).'
return ''
def __rmul__(self, value):
'Return value*self.'
return __thread_info()
def __setattr__(self, name, value):
'Implement setattr(self, name, value).'
return None
@classmethod
def __sizeof__(self):
'__sizeof__() -> int\nsize of object in memory, in bytes'
return 0
def __str__(self):
'Return str(self).'
return ''
@classmethod
def __subclasshook__(cls, subclass):
'Abstract classes can override this to customize issubclass().\n\nThis is invoked early on by abc.ABCMeta.__subclasscheck__().\nIt should return True, False or NotImplemented. If it returns\nNotImplemented, the normal algorithm is used. Otherwise, it\noverrides the normal algorithm (and the outcome is cached).\n'
return False
@classmethod
def count(cls):
'T.count(value) -> integer -- return number of occurrences of value'
return 1
@classmethod
def index(cls):
'T.index(value, [start, [stop]]) -> integer -- return first index of value.\nRaises ValueError if the value is not present.'
return 1
lock = 'semaphore'
n_fields = 3
n_sequence_fields = 3
n_unnamed_fields = 0
name = 'pthread'
version = 'NPTL 2.28'
version = '3.6.8 (default, Apr 9 2019, 04:59:38) \n[GCC 8.3.0]'
class __version_info(_mod_builtins.tuple):
'sys.version_info\n\nVersion information as a named tuple.'
def __add__(self, value):
'Return self+value.'
return __version_info()
__class__ = __version_info
def __contains__(self, key):
'Return key in self.'
return False
def __delattr__(self, name):
'Implement delattr(self, name).'
return None
@classmethod
def __dir__(self):
'__dir__() -> list\ndefault dir() implementation'
return ['']
def __eq__(self, value):
'Return self==value.'
return False
@classmethod
def __format__(self, format_spec):
'default object formatter'
return ''
def __ge__(self, value):
'Return self>=value.'
return False
def __getattribute__(self, name):
'Return getattr(self, name).'
pass
def __getitem__(self, key):
'Return self[key].'
pass
@classmethod
def __getnewargs__(self):
return ()
def __gt__(self, value):
'Return self>value.'
return False
def __hash__(self):
'Return hash(self).'
return 0
def __init__(self, *args, **kwargs):
'sys.version_info\n\nVersion information as a named tuple.'
pass
@classmethod
def __init_subclass__(cls):
'This method is called when a class is subclassed.\n\nThe default implementation does nothing. It may be\noverridden to extend subclasses.\n'
return None
def __iter__(self):
'Implement iter(self).'
return __version_info()
def __le__(self, value):
'Return self<=value.'
return False
def __len__(self):
'Return len(self).'
return 0
def __lt__(self, value):
'Return self<value.'
return False
def __mul__(self, value):
'Return self*value.'
return __version_info()
def __ne__(self, value):
'Return self!=value.'
return False
@classmethod
def __reduce__(self):
return ''; return ()
@classmethod
def __reduce_ex__(self, protocol):
'helper for pickle'
return ''; return ()
def __repr__(self):
'Return repr(self).'
return ''
def __rmul__(self, value):
'Return value*self.'
return __version_info()
def __setattr__(self, name, value):
'Implement setattr(self, name, value).'
return None
@classmethod
def __sizeof__(self):
'__sizeof__() -> int\nsize of object in memory, in bytes'
return 0
def __str__(self):
'Return str(self).'
return ''
@classmethod
def __subclasshook__(cls, subclass):
'Abstract classes can override this to customize issubclass().\n\nThis is invoked early on by abc.ABCMeta.__subclasscheck__().\nIt should return True, False or NotImplemented. If it returns\nNotImplemented, the normal algorithm is used. Otherwise, it\noverrides the normal algorithm (and the outcome is cached).\n'
return False
@classmethod
def count(cls):
'T.count(value) -> integer -- return number of occurrences of value'
return 1
@classmethod
def index(cls):
'T.index(value, [start, [stop]]) -> integer -- return first index of value.\nRaises ValueError if the value is not present.'
return 1
major = 3
micro = 8
minor = 6
n_fields = 5
n_sequence_fields = 5
n_unnamed_fields = 0
releaselevel = 'final'
serial = 0
warnoptions = _mod_builtins.list()
float_info = __float_info()
hash_info = __hash_info()
int_info = __int_info()
thread_info = __thread_info()
version_info = __version_info()
| [
"aamehedi93@gmail.com"
] | aamehedi93@gmail.com |
1c03b9aee293d47ae2cf1cba8865ea237699d603 | b838762713aa551690532a7cdc8f2d4556766d2c | /sales/db/init_db.py | b8e0edfab3ff55a9fa9b11a2f0b07c7813ea6df7 | [] | no_license | dmitriyignatiev/api_peewee | 647ad98f9e3fda76e08f28eb4c2481f5a919db20 | 3d1a4a6830169a01302e37b7214ed0a1fad08ac1 | refs/heads/master | 2022-12-10T11:21:05.561156 | 2020-09-20T16:56:28 | 2020-09-20T16:56:28 | 297,037,032 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 655 | py | from sqlalchemy import create_engine, MetaData
from sales.db.db import question
from dynaconf import settings
DSN = f"postgresql://{settings.DB_USER}:{settings.DB_PASSWORD}@{settings.DB_HOST}:{settings.DB_PORT}/{settings.DB_NASE}"
def create_tables(engine):
meta = MetaData()
meta.create_all(bind=engine, tables=[question])
def sample_data(engine):
conn = engine.connect()
conn.execute(question.insert(), [
{'question_text': 'What\'s new?',
'pub_date': '2015-12-15 17:17:49.629+02'}
])
conn.close()
if __name__ == '__main__':
engine = create_engine(DSN)
create_tables(engine)
sample_data(engine)
| [
"dmitriy.ignatiev83@gmail.com"
] | dmitriy.ignatiev83@gmail.com |
cb4b16dd237ab801af0b21ca00cf08970de29bf8 | e8c82271070e33bb6b181616a0a518d8f8fc6158 | /fce/numpy/distutils/tests/f2py_ext/tests/PaxHeader/test_fib2.py | a56021af7be6b185d62870db000c6c9d53082297 | [] | no_license | DataRozhlas/profil-volice-share | aafa0a93b26de0773fa6bf2b7d513a5ec856ce38 | b4424527fe36e0cd613f7bde8033feeecb7e2e94 | refs/heads/master | 2020-03-18T01:44:26.136999 | 2018-05-20T12:19:24 | 2018-05-20T12:19:24 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 136 | py | 17 gid=713727123
15 uid=3629613
20 ctime=1458667064
20 atime=1458667064
23 SCHILY.dev=16777220
23 SCHILY.ino=31296593
18 SCHILY.nlink=1
| [
"honza@datastory.cz"
] | honza@datastory.cz |
6c1be986fca786a6854705ef2349ec7574a2437b | 36b6384001de57775b908234952d7f410402e715 | /main.py | 6260a322ce1f34873400488ad9182cb24be8b18e | [
"BSD-3-Clause"
] | permissive | furkankykc/AutomatedDocumentMailer | d3140660d3235ebe145f6a73abf4536f1cce920c | f5216e788f9570ed148652f83eb58d1f9a8ef5e8 | refs/heads/master | 2021-06-30T05:54:30.304651 | 2020-09-13T17:23:46 | 2020-09-13T17:23:46 | 130,085,577 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 126 | py |
from Mailer.loginform import LoginGui
from Mailer.gui import Gui
if __name__ == '__main__':
LoginGui()
# Gui('xbet')
| [
"furkankykc@gmail.com"
] | furkankykc@gmail.com |
75058d90ba45ab474f758745b9903f613016ee98 | 3fc107a60ecf2144333b23401716020f8c2c6b2c | /apps/mantenimiento_equipo/models.py | 88986d87fbd2fa651657ae39cef29373f9b84631 | [] | no_license | TulioRafaelCuadradoHoyos/tcuadrado_parcialbase | 8d00099f234bcb6f991ae0389a0792bead602e11 | 5818ffce00e6cb2322d0eb60ce2aca4200169214 | refs/heads/master | 2023-08-29T05:08:06.929208 | 2021-10-22T13:51:12 | 2021-10-22T13:51:12 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 538 | py | from django.db import models
from apps import mantenimiento
from apps.equipo.models import Equipo
from apps.mantenimiento.models import Mantenimiento
# Create your models here.
class Mantenimiento_equipo(models.Model):
mantenimiento = models.ForeignKey(Mantenimiento, on_delete= models.CASCADE)
equipo =models.ForeignKey(Equipo, on_delete= models.CASCADE)
Descripcion =models.CharField(max_length= 50)
Resultado =models.BooleanField()
def __str__(self):
return self.Descripcion
| [
"tcuadrado@uniguajira.edu.co"
] | tcuadrado@uniguajira.edu.co |
9e226cf7f1b347db514b5a6f6c603957fe867e63 | c3eff34237f19885ee09c81f2eb869a53a66e76b | /app/generate_token.py | 0b2dabf9bdc5880404676f02d9b10c6a15b73f1d | [] | no_license | victorvarza/hermes | e9f4bf3fe76b3f6949bfd9e8e23bab7951692f05 | 62d9c5ba0cb0851ae56bc33e8ac337cecd205f82 | refs/heads/master | 2021-11-05T13:40:02.298153 | 2021-01-10T21:51:11 | 2021-01-10T21:51:11 | 135,069,301 | 0 | 0 | null | 2021-03-25T22:53:52 | 2018-05-27T17:56:11 | Python | UTF-8 | Python | false | false | 434 | py | from pydrive.auth import GoogleAuth
from pydrive.drive import GoogleDrive
cred_path = "app/conf/gdrive_cred.json"
gauth = GoogleAuth()
gauth.LoadCredentialsFile(cred_path)
if gauth.credentials is None:
gauth.LocalWebserverAuth()
elif gauth.access_token_expired:
gauth.Refresh()
else:
gauth.Authorize()
print("Writing credentials to {0}".format(cred_path))
gauth.SaveCredentialsFile(cred_path)
drive = GoogleDrive(gauth) | [
"victor.varza@gmail.com"
] | victor.varza@gmail.com |
16bc013e99ded0fe9f6941199abd40f35eefdcd6 | b3ae6dc41b1930856ad70ff8a7a618112ba6c256 | /nncf/definitions.py | 5ca5eb73b46fad0321415b2bbec131a428039c5e | [
"Apache-2.0"
] | permissive | RikAllen/nncf_pytorch | 05411fb9eb819971c5797524e6c09996b7a46aaa | db8c09d8a1f9efb6c22150ba285ce65bc879d88c | refs/heads/develop | 2023-01-14T01:55:04.938358 | 2020-09-16T15:00:14 | 2020-09-16T15:00:14 | 289,278,649 | 0 | 0 | Apache-2.0 | 2020-09-24T13:46:45 | 2020-08-21T13:39:04 | Python | UTF-8 | Python | false | false | 1,057 | py | """
Copyright (c) 2020 Intel Corporation
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.
"""
import pkg_resources
import os
NNCF_PACKAGE_ROOT_DIR = os.path.dirname(os.path.abspath(__file__))
HW_CONFIG_RELATIVE_DIR = "hw_configs"
def get_install_type():
try:
_ = pkg_resources.get_distribution('nncf')
install_type = pkg_resources.resource_string(__name__, 'install_type').decode("ASCII")
except pkg_resources.DistributionNotFound:
# Working with NNCF while not installed as a package
install_type = "GPU"
return install_type
| [
"noreply@github.com"
] | RikAllen.noreply@github.com |
439a6cef4d180ab24ddfab790d339f28dba304de | e0def6cfcef03922758940ee1d5ec7a891fafaf0 | /files/10_create_altered_rides_table.py | 6cb774324fdab5252ebc9c6141eaf892a3b221e4 | [] | no_license | DataLiftoff/Analysis_Of_The_Movement_Of_Rental_Bikes | 8705845379c20c12267429cd2fc0448e32133423 | f5656f247616ca84e2e9925a3437b3d86d7252a2 | refs/heads/master | 2023-01-05T08:54:17.745088 | 2020-10-01T21:46:20 | 2020-10-01T21:46:20 | 300,298,588 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,270 | py | ##### Import Libraries
# To load OpenStreetMap-data
import osmnx as ox
# To work with networks
import networkx as nx
# To connect to databases
from helperFunctions import Graph
from helperFunctions import alterRoute
from helperFunctions import connectZEO
from helperFunctions import connectMySQL
from helperFunctions import connectMongo
from helperFunctions import containerWait
from helperFunctions import managementUpdate
##### Run Program
# Wait for the MySQL server to start
containerWait()
try:
# Connect to ZODB
root = connectZEO()
# Connect to MongoDb
cluster, db_mongo, collection_altered = connectMongo(collection='altered')
collection_shortest = db_mongo['shortest']
# Connect to MySQL and get cursor
db_mysql, cur = connectMySQL()
##### Iterate Over All Cities And Alter The Path
# Iterate over all cities
while True:
# SQL query
sql_query = 'SELECT cluster_id FROM city_clusters WHERE city_analyse=1 AND last_osm_graph>last_rides_altered ORDER BY RAND() LIMIT 1'
# Execute the query
cur.execute(sql_query)
cluster_id = cur.fetchall()
# Check if clusters are left
if not cluster_id:
break
# Extract data
cluster_id = cluster_id[0][0]
# Update timestamp for city
managementUpdate('last_rides_altered', cur, db_mysql, table='city_clusters', row='cluster_id', id=cluster_id)
# Load the graph from the ZODB
graph = root[cluster_id].graph
# Iterate over all shortest rides
for item in collection_shortest.find({'Cluster_Id':cluster_id}):
# Create key for dictionary
key = item['_id']
# Get precomputed altered paths
precomputed_altered = collection_altered.find_one({'_id':key})
# Stop to much computation
if precomputed_altered and item['Count']==precomputed_altered['Count']:
continue
# Check if ride has to be recomputed
if precomputed_altered:
# Copy precomputed ride to rides
rides = precomputed_altered['Rides']
lengths = precomputed_altered['Lengths']
count = precomputed_altered['Count']
else:
# Set default values
rides = []
lengths = []
count = 0
# Compute the number of missing rides
n_missing_rides = item['Count'] - count
# Create an altered ride for each count
for _ in range(n_missing_rides):
# Alter and save each ride
ride_altered = alterRoute(item['Ride'], graph, p=0.2)
# Compute ride length
ride_length = sum(ox.utils_graph.get_route_edge_attributes(graph, ride_altered, attribute='length'))
# Store the altered rides
rides.append(list(map(int, ride_altered)))
lengths.append(ride_length)
count += 1
# Update the altered rides in the database
collection_altered.update_one({'_id':key}, {'$set':{'_id':key, 'Rides':rides, 'Count':count, 'Lengths':lengths, 'Cluster_Id':cluster_id}}, upsert=True)
except mysql.connector.Error as error:
print(error)
finally:
if (db_mysql.is_connected()):
db_mysql.close()
print('Database has been closed.')
| [
"noreply@github.com"
] | DataLiftoff.noreply@github.com |
c63effbac0ae9a65a8e037ea99875dcf94ae1746 | 44e26d6e5ada8bc5fb9d000e86e4694615262bcd | /download_latest_build.py | 0a1c243fbbd71a64c4fc2ce7e7a65fd9d9fe1c28 | [] | no_license | symlib/clitest | 18c9d0475179b035a466d604a60fca52d5c63d84 | 524bd59f64d4754a760d483c9b7038647f442240 | refs/heads/master | 2021-06-21T21:20:53.031850 | 2017-08-22T01:04:19 | 2017-08-22T01:04:19 | 81,310,193 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 10,847 | py |
# initial version
# March 20, 2017
buildserverurl="http://192.168.208.5/release/hyperion_ds/daily/"
fcsserverurl="http://192.168.208.5/release/hyperion_ds/fcs/"
tftpserver="root@10.84.2.99:/work/tftpboot/"
serv = "MjExLjE1MC42NS44MQ=="
u = "amFja3kubGlAY24ucHJvbWlzZS5jb20="
p = "NzcwMjE0WHA="
import requests
from bs4 import BeautifulSoup
import os
import glob
import time
def getnewbuild():
download=False
# get the current build folder
files=glob.glob("/work/tftpboot/d5k-multi*.ptif")
tftpbuildnumber120=0
tftpbuildnumber121=0
tftpbuildnumber122 = 0
tftpbuildnumber13 = 0
tmp120=tmp121=tmp122=tmp13=0
for file in files:
try:
if int(file[25:27])==12 and int(file[28])==2:
tmp122=int(file[-7:-5])
elif int(file[25:27])==12 and int(file[28])==1:
tmp121=int(file[-7:-5])
elif int(file[25:27])==12 and int(file[28])==0:
tmp120 = int(file[-7:-5])
elif int(file[25:27]) == 13:
tmp13 = int(file[-7:-5])
except:
tmp120=0
tmp121 = 0
tmp122 = 0
tmp13=0
if tmp120>tftpbuildnumber120:
tftpbuildnumber120=tmp120
if tmp121>tftpbuildnumber121:
tftpbuildnumber121=tmp121
if tmp122>tftpbuildnumber122:
tftpbuildnumber122=tmp122
if tmp13>tftpbuildnumber13:
tftpbuildnumber13=tmp13
# print "current build is %d" %tftpbuildnumber
# to get the full directory list
soup = BeautifulSoup(requests.get(buildserverurl).text)
fcssoup=BeautifulSoup(requests.get(fcsserverurl).text)
buildnumber120 = list()
buildnumber121 = list()
buildnumber122 = list()
buildnumber13 = list()
for link in soup.find_all('a'):
tmp = link.get('href')
if "13." in tmp:
buildnumber13.append(tmp)
if "12.00" in tmp:
buildnumber120.append(tmp)
if "12.01" in tmp:
buildnumber121.append(tmp)
if "12.02" in tmp:
buildnumber122.append(tmp)
for link in fcssoup.find_all('a'):
print link
tmp = link.get('href')
print tmp
if "13_" in tmp:
buildnumber13.append(tmp)
try:
webupdatedbuild120=int((buildnumber120[-1].replace("/","").split(".")[-1]))
webupdatedbuild121 = int((buildnumber121[-1].replace("/", "").split(".")[-1]))
webupdatedbuild122 = int((buildnumber122[-1].replace("/", "").split(".")[-1]))
webupdatedbuild13 = int((buildnumber13[-1].replace("/", "").split("_")[-1]))
except:
webupdatedbuild120=0
webupdatedbuild121=0
webupdatedbuild122 = 0
webupdatedbuild13 = 0
#print "webupdatedbuildnumbers are %d,%d" %(webupdatedbuild12,webupdatedbuild13)
# if the webupdated build is newer than the installed one, download the new build
# file list contains the filename to be updated on the host
filelist=list()
print "webupdatebuild120,webupdatedbuild121,tftpbuildnumber120,tftpbuildnumber121,tftpbuildnumber122",webupdatedbuild120,webupdatedbuild121,tftpbuildnumber120,tftpbuildnumber121,webupdatedbuild122
print "webupdatebuild13,tptpbuildnumber13", webupdatedbuild13, tftpbuildnumber13
if webupdatedbuild13 >tftpbuildnumber13:
download=True
Pfile = open('downloadedfiles', 'w')
Pfile.close()
#for filetype in ("conf", "multi"):
for filetype in ("conf", "multi", "bios", "fw", "lib", "oem", "sw", "usr", "base"):
if filetype=="base":
filename="d5k-"+filetype+"-"+(buildnumber13[-1].replace("/","")).replace(".","_").replace("13_00","13_0")+".raw.gz"
else:
filename="d5k-"+filetype+"-"+(buildnumber13[-1].replace("/","")).replace(".","_").replace("13_00","13_0")+".ptif"
os.system("wget "+fcsserverurl+buildnumber13[-1]+filename)
# os.system("scp "+ filename +" "+tftpserver)
# filename="d5k-"+filetype+"-"+webupdatedbuild.replace(".","_").replace("00","0")+".ptif"
#
#os.system("wget " + buildserverurl + buildnumber[-1] + "/" + filename)
timestr=time.strftime('%Y-%m-%d %H:%M:%S',time.localtime(time.time()))
os.system("echo " + timestr +" downloaded %s" % filename +" >> downloadedfiles")
os.system("mv /root/d5k* /work/tftpboot/")
os.system("mv ./d5k* /work/tftpboot/")
if webupdatedbuild120 > tftpbuildnumber120:
download = True
Pfile = open('downloadedfiles', 'w')
Pfile.close()
# for filetype in ("conf", "multi"):
for filetype in ("conf", "multi", "bios", "fw", "lib", "oem", "sw", "usr", "base"):
if filetype == "base":
filename = "d5k-" + filetype + "-" + (buildnumber120[-1].replace("/", "")).replace(".", "_").replace(
"12_00", "12_0") + ".raw.gz"
else:
filename = "d5k-" + filetype + "-" + (buildnumber120[-1].replace("/", "")).replace(".", "_").replace(
"12_00", "12_0") + ".ptif"
os.system("wget " + buildserverurl + buildnumber120[-1] + filename)
# os.system("scp "+ filename +" "+tftpserver)
# filename="d5k-"+filetype+"-"+webupdatedbuild.replace(".","_").replace("00","0")+".ptif"
#
# os.system("wget " + buildserverurl + buildnumber[-1] + "/" + filename)
timestr = time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(time.time()))
os.system("echo " + timestr + " downloaded %s" % filename + " >> downloadedfiles")
os.system("mv /root/d5k* /work/tftpboot/")
os.system("mv ./d5k* /work/tftpboot/")
if webupdatedbuild121 > tftpbuildnumber121:
download = True
Pfile = open('downloadedfiles', 'w')
Pfile.close()
# for filetype in ("conf", "multi"):
for filetype in ("conf", "multi", "bios", "fw", "lib", "oem", "sw", "usr", "base"):
if filetype == "base":
filename = "d5k-" + filetype + "-" + (buildnumber121[-1].replace("/", "")).replace(".", "_").replace(
"12_01", "12_1") + ".raw.gz"
else:
filename = "d5k-" + filetype + "-" + (buildnumber121[-1].replace("/", "")).replace(".", "_").replace(
"12_01", "12_1") + ".ptif"
os.system("wget " + buildserverurl + buildnumber121[-1] + filename)
# os.system("scp "+ filename +" "+tftpserver)
# filename="d5k-"+filetype+"-"+webupdatedbuild.replace(".","_").replace("00","0")+".ptif"
#
# os.system("wget " + buildserverurl + buildnumber[-1] + "/" + filename)
timestr = time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(time.time()))
os.system("echo " + timestr + " downloaded %s" % filename + " >> downloadedfiles")
os.system("mv /root/d5k* /work/tftpboot/")
os.system("mv ./d5k* /work/tftpboot/")
if webupdatedbuild122 > tftpbuildnumber122:
download = True
Pfile = open('downloadedfiles', 'w')
Pfile.close()
# for filetype in ("conf", "multi"):
for filetype in ("conf", "multi", "bios", "fw", "lib", "oem", "sw", "usr", "base"):
if filetype == "base":
filename = "d5k-" + filetype + "-" + (buildnumber122[-1].replace("/", "")).replace(".", "_").replace(
"12_02", "12_2") + ".raw.gz"
else:
filename = "d5k-" + filetype + "-" + (buildnumber122[-1].replace("/", "")).replace(".", "_").replace(
"12_02", "12_2") + ".ptif"
os.system("wget " + buildserverurl + buildnumber122[-1] + filename)
# os.system("scp "+ filename +" "+tftpserver)
# filename="d5k-"+filetype+"-"+webupdatedbuild.replace(".","_").replace("00","0")+".ptif"
#
# os.system("wget " + buildserverurl + buildnumber[-1] + "/" + filename)
timestr = time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(time.time()))
os.system("echo " + timestr + " downloaded %s" % filename + " >> downloadedfiles")
os.system("mv /root/d5k* /work/tftpboot/")
os.system("mv ./d5k* /work/tftpboot/")
return download
if __name__ == "__main__":
timestr=time.strftime('%Y-%m-%d %H:%M:%S',time.localtime(time.time()))
os.system("echo %s \" Trying to download files\" >> downloadedfiles" %timestr )
download=getnewbuild()
if download==True:
import smtplib
# Import the email modules we'll need
from email.mime.text import MIMEText
# Open a plain text file for reading. For this example, assume that
# the text file contains only ASCII characters.
textfile="downloadedfiles"
fp = open(textfile, 'rb')
buildversion=fp.readline()[-18:-6]
tofile=open("buildnum","w")
tofile.write(buildversion.replace("_","."))
tofile.close()
os.system("scp /root/buildnum root@192.168.252.106:/opt/testlink-1.9.16-0/apache2/htdocs/srvpool/")
# os.system("scp /work/jackyl/buildnum root@192.168.252.106:/opt/testlink-1.9.16-0/apache2/htdocs/srvpool/")
time.sleep(1)
os.system("scp /root/buildnum root@10.84.2.66:/home/work/jackyl/Scripts/clitest/")
# os.system("scp /work/jackyl/buildnum root@10.84.2.66:/home/work/jackyl/Scripts/clitest/")
time.sleep(1)
# Create a text/plain message
msg = MIMEText(fp.read())
fp.close()
# me == the sender's email address
# you == the recipient's email address
msg['Subject'] = 'New build is available at 10.84.2.99:/work/tftpboot/, please see the %s for detail' % textfile
msg['From'] = 'jacky.li@cn.promise.com'
msg['To'] = 'jacky.li@cn.promise.com'
# Send the message via our own SMTP server, but don't include the
rec = ['ken.hou@cn.promise.com','tracy.you@cn.promise.com','travis.tang@cn.promise.com','xin.wang@cn.promise.com','lily.zhao@cn.promise.com','lisa.xu@cn.promise.com','jacky.li@cn.promise.com','zach.feng@cn.promise.com','socrates.su@cn.promise.com','paul.diao@cn.promise.com','hulda.zhao@cn.promise.com']
#rec = ['zach.feng@cn.promise.com','jacky.li@cn.promise.com','hulda.zhao@cn.promise.com']
# Send the message via our own SMTP server, but don't include the
# Send the message via our own SMTP server, but don't include the
# envelope header.
u=u.decode('base64')
serv=serv.decode('base64')
p=p.decode('base64')
s = smtplib.SMTP(serv)
s.login(u,p)
s.sendmail(msg['From'], rec, msg.as_string())
s.quit()
| [
"jacky.li@cn.promise.com"
] | jacky.li@cn.promise.com |
675458e68451063981849d73115b4a2e5e1566b7 | c48f3bb73f3ddda53619174fa1f81d42cd7bd0ca | /agent.py | ea6c262202157c3895d46d98c8186177a946266f | [] | no_license | hanhsienhuang/Gomoku | 8f04f0b897feb33ff233d370978bf27c1b36f97f | d7f2cb1f042c92675ca877472e7c4376da600992 | refs/heads/master | 2022-12-31T02:36:01.310759 | 2020-10-25T05:51:49 | 2020-10-25T05:51:49 | 307,036,549 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,392 | py | import networks
import torch
import torch.nn as nn
import torch.optim as optim
import numpy as np
from utils import is_in_range, list_add, print_board
import random
def choice2d(p):
i = np.random.choice(np.prod(p.shape), p = p.flatten())
return np.unravel_index(i, p.shape)
class Agent:
def __init__(self, num_mcts, board_size):
self.num_mcts = num_mcts
self.device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
self.network = networks.NN(in_channels = 3,
feature_size = 50,
num_residual = 1,
board_size = board_size,
value_hidden_size = 256).to(self.device)
#self.network = networks.ConvNN(in_channels = 3,
# feature_size = 64,
# num_layer = 2,
# value_hidden_size = 64).to(self.device)
self.optim = optim.Adam(self.network.parameters(), 1e-4, weight_decay=1e-4)
self.temperature = 1 # TODO
self.UCBConstant = 1
self.batchSize = 100
def get_action(self, treeNode):
while treeNode.n < self.num_mcts:
self._dfs(treeNode)
policy = self.get_mcts_policy(treeNode, 0.1)
return choice2d(policy)
def _dfs(self, treeNode):
if treeNode.state.isEnd:
return -abs(treeNode.state.endResult)
if treeNode.P is None:
p, v = self.get_network_policy_and_value(treeNode)
treeNode.P = p
return v
ucb = self.get_mcts_ucb_value(treeNode)
move = np.unravel_index(np.argmax(ucb), ucb.shape)
v = -self._dfs(treeNode.next(move))
treeNode.update(move, v)
return v
def get_network_policy_and_value(self, treeNode):
inp = self._construct_tensors((treeNode.state, ))
policy_logit, value = self.network(inp)
policy_logit = policy_logit.cpu().detach().numpy()[0]
policy_logit = np.where(treeNode.state.validMoves, policy_logit, float("-inf"))
exp_logit = np.exp(policy_logit - policy_logit.max())
policy = exp_logit / exp_logit.sum()
value = value.item()
return policy, value
def get_mcts_ucb_value(self, treeNode):
# Q + U
# U = c P \sqrt{n} / (1+N)
# For invalid move, value = -inf
U = np.where(treeNode.state.validMoves, \
self.UCBConstant * np.sqrt(treeNode.n + 1) * treeNode.P / (treeNode.N+1), \
float("-inf"))
return treeNode.Q + U
def get_mcts_policy(self, treeNode, temperature = None):
if temperature is None:
temperature = self.temperature
poweredN = (treeNode.N / np.max(treeNode.N)) ** (1/temperature if temperature > 0 else float("inf"))
return poweredN / poweredN.sum()
def update(self, experience):
#random.shuffle(experience)
states, policies, zs = list(zip(*experience))
inputs = self._construct_tensors(states)
valids = torch.stack([torch.as_tensor(s.validMoves, dtype=int, device=self.device) for s in states])
policies = torch.stack([torch.as_tensor(p, dtype=torch.float, device=self.device) for p in policies])
zs = torch.tensor(zs, dtype=torch.float, device=self.device).unsqueeze(-1)
neginf = torch.tensor(-1e8, dtype=torch.float, device=self.device)
# Rotate and flip
inputs = torch.cat([inputs, torch.flip(inputs, [1])])
inputs = torch.cat([torch.rot90(inputs, i, (2,3)) for i in range(4)])
valids = torch.cat([valids, torch.flip(valids, [1])])
valids = torch.cat([torch.rot90(valids, i, (1,2)) for i in range(4)])
policies = torch.cat([policies, torch.flip(policies, [1])])
policies = torch.cat([torch.rot90(policies, i, (1,2)) for i in range(4)])
zs = zs.repeat(8,1)
# shuffle
index = torch.randperm(valids.shape[0])
inputs = inputs[index]
valids = valids.to(dtype=bool)[index]
policies = policies[index]
zs = zs[index]
total_loss = 0
num_it = 0
for i in range(inputs.shape[0] //self.batchSize ):
beg, end = i*self.batchSize, (i+1)*self.batchSize
inp = inputs[beg:end]
val = valids[beg:end]
pol = policies[beg:end]
z = zs[beg:end]
policy_logit, value = self.network(inp)
policy_logit = torch.where(val, policy_logit, neginf)
loss = - torch.mean(torch.sum(pol * policy_logit, dim=(1,2))) \
+ torch.mean(torch.logsumexp(policy_logit, dim=(1,2))) \
+ torch.mean((value - z)**2)
self.optim.zero_grad()
loss.backward()
self.optim.step()
total_loss += loss.item()
num_it += 1
print(f"num iter: {num_it}, mean loss: {total_loss/num_it:.2f}")
def copy(self, other):
if self is not other:
self.network.load_state_dict(other.network.state_dict())
def _construct_tensors(self, states):
tensors = [self._construct_tensor(state) for state in states]
return torch.stack(tensors)
def _construct_tensor(self, state):
board = torch.as_tensor(state.board, dtype=torch.float, device=self.device)
isBlack = torch.full((1,) + state.shape, int(state.isNextBlack), dtype=torch.float, device=self.device)
tensor = torch.cat((board, isBlack))
return tensor.to(self.device)
class BaselineAgent0:
def __init__(self):
pass
def get_action(self, treeNode):
state = treeNode.state
if not np.any(state.board[0]):
action = tuple(s//2 for s in state.shape)
treeNode.update(action, 1)
return action
i = int(state.isNextBlack)
myBoard = state.board[i]
oppoBoard = state.board[(i+1)%2]
scores = np.zeros(state.shape, dtype=int)
# 1,2,4,100
mapScores = [0, 1, 4, 8, 1000, 0]
for i in range(state.shape[0]):
for j in range(state.shape[1]):
for d in [(1,0), (0,1), (1,1), (1, -1)]:
hasFive, n = self._check_five(myBoard, oppoBoard, (i,j), d)
if hasFive:
score = mapScores[n]
for step in range(5):
pos = list_add((i,j), d, step)
if state.validMoves[pos]:
scores[pos] += score
hasFive, n = self._check_five(oppoBoard, myBoard, (i,j), d)
if hasFive:
score = mapScores[n]
for step in range(5):
pos = list_add((i,j), d, step)
if state.validMoves[pos]:
scores[pos] += score
maxScore = np.max(scores)
indices = list(zip(*np.where(np.logical_and(scores == maxScore, state.validMoves))))
action = random.choice(indices)
treeNode.update(action, 1)
return action
def end(self, state):
pass
def _check_five(self, board, oppoboard, start, direction):
num = 0
for step in range(5):
pos = list_add(start, direction, step)
if not is_in_range(pos, board.shape):
return False, None
if oppoboard[pos]:
return False, None
if board[pos]:
num += 1
return True, num
def get_mcts_policy(self, treeNode):
return treeNode.N / np.sum(treeNode.N)
class InputAgent:
def __init__(self):
pass
def get_action(self, treeNode):
state = treeNode.state
print_board(state)
while True:
inp = input("Input position: ")
try:
lst = inp.split(",")
assert(len(lst)==2)
pos = tuple(int(l) for l in lst)
break
except:
print()
return pos
def get_mcts_policy(self, treeNode):
return None
def end(self, state):
pass
import asyncio
import json
class WebsocketAgent:
def __init__(self, ws):
self.ws = ws
def state_to_json(self, state):
shape = state.shape
board = [[0]*shape[1] for _ in range(shape[0])]
validMoves = [[0]*shape[1] for _ in range(shape[0])]
for i in range(shape[0]):
for j in range(shape[1]):
if state.board[0, i, j]:
board[i][j] = 1
elif state.board[1, i, j]:
board[i][j] = -1
validMoves[i][j] = 1 if state.validMoves[i, j] else 0
s = dict(
shape = shape,
board = board,
isNextBlack = state.isNextBlack,
validMoves = validMoves,
isEnd = state.isEnd,
endResult = state.endResult,
)
return json.dumps(s)
async def get_action(self, treeNode):
await self.ws.send(self.state_to_json(treeNode.state))
rec = await self.ws.recv()
action = tuple(json.loads(rec))
print(action)
return action
def get_mcts_policy(self, treeNode):
return None
async def end(self, state):
await self.ws.send(self.state_to_json(state))
await self.ws.close()
| [
"hu8108@gmail.com"
] | hu8108@gmail.com |
e0d3ddf444f96456a667218432e68df52fe04514 | 3c515d48bba2bd4dc2ecd797aaf66aa5a1ebf596 | /app.py | 0e59b8ca4a0597b9a814d00fc0a6345534e30c3f | [] | no_license | jason2133/flask_ai_translator | 0696797644aec7a3eb9926efbba3deac9e820eaa | f3b3c1a934e2f8a1a4a551dd199c2ca5521835ac | refs/heads/master | 2023-07-17T06:16:59.938651 | 2021-08-25T17:29:51 | 2021-08-25T17:29:51 | 399,882,270 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,905 | py | import requests, os, uuid, json
from dotenv import load_dotenv
load_dotenv()
from flask import Flask, render_template
from flask import request
app = Flask(__name__)
@app.route('/', methods=['GET'])
def index():
return render_template('index.html')
# 서비스를 호출하는 코드
@app.route('/', methods=['POST'])
def index_post():
# Read the values from the form
original_text = request.form['text']
target_language = request.form['language']
# Load the values from .env
key = os.environ['KEY']
endpoint = os.environ['ENDPOINT']
location = os.environ['LOCATION']
# Indicate that we want to translate and the API version (3.0) and the target language
path = '/translate?api-version=3.0'
# Add the target language parameter
target_language_parameter = '&to=' + target_language
# Create the full URL
constructed_url = endpoint + path + target_language_parameter
# Set up the header information, which includes our subscription key
headers = {
'Ocp-Apim-Subscription-Key': key,
'Ocp-Apim-Subscription-Region': location,
'Content-type': 'application/json',
'X-ClientTraceId': str(uuid.uuid4())
}
# Create the body of the request with the text to be translated
body = [{ 'text': original_text }]
# Make the call using post
translator_request = requests.post(constructed_url, headers=headers, json=body)
# Retrieve the JSON response
translator_response = translator_request.json()
# Retrieve the translation
translated_text = translator_response[0]['translations'][0]['text']
# Call render template, passing the translated text,
# original text, and target language to the template
return render_template(
'results.html',
translated_text=translated_text,
original_text=original_text,
target_language=target_language
) | [
"jason2133@likelion.org"
] | jason2133@likelion.org |
80d9fb03a91fc8eae47a8e9b11cc9d472ab29f0b | 48285275958aba8f8f14ce505f03acf117870584 | /src/handlers/HandlerFactory.py | f961b917d06c235f64305e5deaa2a39e94088b0e | [] | no_license | rchuso/Python-Web-Server | 095609586c8fb403380752cd99408800d760d8e8 | 1fe8fdfc77d220923b8ebfafbc759bae1be4074c | refs/heads/master | 2021-05-17T18:54:09.141504 | 2020-04-02T06:23:16 | 2020-04-02T06:23:16 | 250,927,592 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,283 | py | '''
Created on 15/03/2020
@author: rand huso
'''
import os
from handlers.HandlerImage import HandlerImage
from handlers.HandlerText import HandlerText
from handlers.HandlerBad import HandlerBad
class HandlerFactory():
handlerTypes = {
'html': {'handler': HandlerText, 'type':'html', 'contentType':'text/html', 'bytes': False },
'css': {'handler': HandlerText, 'type':'css', 'contentType':'text/css', 'bytes': False },
'js': {'handler': HandlerText, 'type':'js', 'contentType':'text/javascript', 'bytes': False },
'json': {'handler': HandlerText, 'type':'json', 'contentType':'application/json', 'bytes': False },
'ico': {'handler': HandlerImage, 'type':'ico', 'contentType':'image/vnd.microsoft.icon', 'bytes': True },
'jpg': {'handler': HandlerImage, 'type':'jpg', 'contentType':'image/jpeg', 'bytes': True },
'png': {'handler': HandlerImage, 'type':'png', 'contentType':'image/png', 'bytes': True },
}
def __new__( self, host, URI, headers, postVars=None ):
hostQueryFragment = URI.split( '#' ) # will be len=1 if none
if 1 == len(hostQueryFragment): fragment = None
else: fragment = hostQueryFragment[1]
hostQuery = hostQueryFragment[0].split( '?' )
requestPath = hostQuery[0]
if '/' == requestPath: requestPath = '/index.html'
hostSuffix = os.path.splitext( requestPath )
query = {}
if 1 < len(hostQuery):
querySplit = hostQuery[1].split( '&' ) # cheap and dirty
for qs in querySplit:
qss = qs.split( '=' )
query[qss[0]] = qss[1]
if postVars is not None:
for postVar in postVars:
pv = postVar.decode( 'utf-8' )
val = [ v.decode( 'utf-8' ) for v in postVars[postVar]] # it's an array, for some reason
query[pv] = val[0] # lose the other information. TODO: could check to see if _is list_
suffix = hostSuffix[1][1:]
try:
if '..' in requestPath:
response = HandlerBad( host, requestPath, query, fragment, headers, HandlerFactory.handlerTypes['html'] )
else:
handlerInfo = HandlerFactory.handlerTypes[suffix]
response = handlerInfo['handler']( host, requestPath, query, fragment, headers, handlerInfo )
except KeyError:
response = HandlerBad( host, requestPath, query, fragment, headers, HandlerFactory.handlerTypes['html'] )
return response
| [
"rchuso@gmail.com"
] | rchuso@gmail.com |
00b42fcbfbde767ac076c1bdd0d7fb34c5b3382c | 67b0379a12a60e9f26232b81047de3470c4a9ff9 | /comments/models.py | 27fec916d93089637204f146a37c7c27c5e70df4 | [] | no_license | vintkor/whitemandarin | 8ea9022b889fac718e0858873a07c586cf8da729 | 5afcfc5eef1bb1cc2febf519b04a4819a7b9648f | refs/heads/master | 2021-05-06T03:35:09.367375 | 2017-12-20T15:43:08 | 2017-12-20T15:43:08 | 114,904,110 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,969 | py | # -*- coding: utf-8 -*-
from django.db import models
from mptt.models import MPTTModel, TreeForeignKey
from tinymce import models as tinymce_model
import datetime
class Comments(MPTTModel):
prod_name = models.CharField(max_length=250, blank=True, db_index=True, verbose_name="Название")
paket = models.CharField(max_length=250, db_index=True, verbose_name="Пакет")
item_model = models.CharField(max_length=250, db_index=True, verbose_name="Модель")
item_id = models.IntegerField(db_index=True, null=True, verbose_name="id")
published_in_category = models.BooleanField(default=False, verbose_name='Показывать в категории')
parent = TreeForeignKey('self', null=True, blank=True, related_name='children', verbose_name=u"Родитель")
name = models.CharField(max_length=250, verbose_name="Название")
text = tinymce_model.HTMLField(blank=True, verbose_name="Полное описание")
published = models.BooleanField(verbose_name="Опубликован")
date_add = models.DateTimeField(default=datetime.datetime.today ,verbose_name="Дата публикации")
vote = models.DecimalField(max_digits=2, decimal_places=1,db_index=True, null=True, verbose_name="Оценка")
positive = models.IntegerField(null=True, blank=True, default=0, verbose_name="Позитивных")
negative = models.IntegerField(null=True, blank=True, default=0, verbose_name="Негативных")
def save(self):
super(Comments, self).save()
try:
paket = self.paket
item_model = self.item_model
id = self.item_id
count_comments = Comments.objects.filter(paket=paket, item_model=item_model, item_id=int(id), published = True).count()
# assert False, count_comments
exec "from %s.models import %s" % (paket, item_model)
p = eval("%s.objects.get(pk=%d)" % (item_model, int(id)))
p.comments_count = count_comments
min_vote = 5
max_vote = 0
all_reit = 0.0
prod_votes = Comments.objects.filter(paket=paket, item_model=item_model, item_id=int(id), published = True).values('vote')
for item in prod_votes:
if min_vote > item['vote']:
min_vote = item['vote']
if max_vote < item['vote']:
max_vote = item['vote']
all_reit = all_reit + float(item['vote'])
# assert False, min_vote
p.min_reit = min_vote
p.max_reit = max_vote
p.reit = all_reit / count_comments
p.save()
self.prod_name = p.name
except:
pass
super(Comments, self).save()
if not self.date_add:
self.date_add = datetime.datetime.today()
super(Comments, self).save()
def get_name(self):
paket = self.paket
item_model = self.item_model
id = self.item_id
# count_comments = Comments.objects.filter(paket=paket, item_model=item_model, item_id=int(id), published = True).count()
# assert False, count_comments
exec "from %s.models import %s" % (paket, item_model)
p = eval("%s.objects.get(pk=%d)" % (item_model, int(id)))
return p.name
def __unicode__(self):
return self.name
class Meta:
verbose_name_plural = "Коментарии "
verbose_name = "Коментарий"
ordering = ['-id']
class MPTTMeta:
order_insertion_by = ['name']
class Utility(models.Model):
comment = models.ForeignKey(Comments, blank=True, null=True, verbose_name="Коммент")
positive = models.BooleanField(verbose_name="Позитивная оценка")
def __unicode__(self):
return self.comment.name
class Meta:
verbose_name_plural = "Оценки"
verbose_name = "Оценка"
| [
"alkv84@yandex.ru"
] | alkv84@yandex.ru |
372ffb8f05abddeea2704b81e3dfd8ba8d5fa88e | 236332a967f8f02291b58cab7addfeabdfe7b9a2 | /experiments/tests/testing_2_3.py | 207477ec55fb3dd07e0cb74d22864d4061c012cc | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | ConsumerAffairs/django-experiments | 2dbf04b7f0e7ebdff6d5e7879afeb26f7fdb5150 | 4f1591c9b40390f7302f3777df231ffe3629f00d | refs/heads/master | 2021-01-20T11:10:30.199586 | 2018-04-20T21:26:18 | 2018-04-20T21:26:18 | 101,666,220 | 0 | 10 | MIT | 2018-04-20T21:26:19 | 2017-08-28T16:56:16 | Python | UTF-8 | Python | false | false | 218 | py | # coding=utf-8
try:
from unittest import mock, skip
except ImportError:
import mock
class DummyLockTests(object):
@classmethod
def new(cls):
test_class = cls
return skip(test_class)
| [
"fran.hrzenjak@gmail.com"
] | fran.hrzenjak@gmail.com |
e2274c4b1495ca6b6d568d9fbaeb1af253a5788c | 13e2726a6e25fd4020713c111fc7eb2f3018fc3d | /Product_recommendation/wsgi.py | c231d1b341a002954b6c6cd20d5a424ba336b998 | [] | no_license | Abishek-Balasubramaniam/Product-recommendation | e6d9bbf9e5c32cacda0bbb87d4a518fa26b36400 | e307d6e0eaa7ee1a070fff3ecbb41034f67d78ea | refs/heads/main | 2023-01-31T07:26:40.674404 | 2020-12-15T12:29:22 | 2020-12-15T12:29:22 | 321,660,980 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 421 | py | """
WSGI config for Product_recommendation project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/3.1/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'Product_recommendation.settings')
application = get_wsgi_application()
| [
"2903abi@gmail.com"
] | 2903abi@gmail.com |
7b04a97c368a3b4a75712cea5bdf04c07cc5ca00 | e833c155f1bbc446dbf83fe9d09eb2eeaf676cf6 | /Year1/CSCA48/Assignments/a1/a1_design.py | 83177c2b87e4902065241d535781d23bf53a8964 | [] | no_license | vincentt117/UTSC.CS | 116ebb41caaafbfaea8172d72c7fd507cfa771cb | ffa1a5bea2b85f3afe75b01830786bc584d2da06 | refs/heads/master | 2020-09-22T12:48:09.539263 | 2017-01-30T15:58:39 | 2017-01-30T15:58:39 | 67,225,189 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,249 | py | class Matrix():
''' A class which represents a mathematical matrix
'''
def __init__(self, content):
'''(Matrix, list of obj) -> None
Creates a matrix where a dictionary with keys as two element lists
containing the row (element zero) and column (element one) position
of the object (stored as value). For example: {[1, 7]: 43}, 43
would be the object in the 1st row 7th column in the matrix.
The values passed into init in the form of a list of objects.
The list of integers, dimension, will dictate the dimensions of the
matrix. Dimension exist in the form of [n, m] where n and m are positve
integers that can be equal to one anther. The method will take n
objects from content and form the first column, it will continue to
do this until there are m columns.
REQ: content must contain elements such that the matrix is a valid
matrix; there are an appropriate number of elements given the number
of rows and columns.
'''
pass
def add_sub(self, target, add_or_sub):
'''(Matrix, Matrix, bool) -> None
Given another Matrix, perform either matrix addition or subtraction
based on the value of add_or_sub. If add_or_sub is True perform
addition, else (it being False) perform subtraction.
REQ: Elements which reside in the same coordinate of either matrices
must be of the same object type and must be able to added/subtracted
from one another by some context
'''
pass
def transpose(self):
'''(Matrix) -> None
Perform a matrix tranposition on the matrix calling the method. The
operation will invert the coordinates of all objects contained in the
matrix: row values become column values and vice versa
'''
pass
def multi(self, target):
'''(Matrix, Matrix) -> None
Given another Matrix, perform matrix multiplication with the calling
matrix on the left hand side of the operation and the target matrix
on the right. Method will perform multiplication as described by
standard matrix operation.
REQ: number of column of the calling matrix must be equal to the number
of rows of the targe matrix
REQ: All elements within the calling matrix and the matrix being called
must be integers or floats
'''
pass
def switch(self, row_or_col, switched):
'''(Matrix, bool, list of ints) -> None
Switch two columns or two rows of a calling matrix. If row_or_col is
True, switch the two rows contained in switched. For example, if
row_or_col is True and switched is [1,3] switch the first and third
rows of the matrix. If row_or_col is False, perform the same action,
but switch columns instead.
REQ: Matrix must possess the rows or columns contained in switch
REQ: switched contains exactly two integers
'''
pass
def get_by_row_or_col(self, coordinate, row_or_col):
'''(Matrix, list of ints) -> obj
Return a particular object in the matrix by a certain column or row
and a position in the row or column. row_or_col dictates whether or not
the object is referenced by row or column. If row_or_col is True, it is
referencing by row, else it is referencing by row. Coordinate contains
two integers, where the first is the coordinate[0]-th row or column and
the second is the coordinate[1]-th item in that row/column
For example if coordinate is [3, 4], and
row_or_col is True return the 4th item in the third column.
REQ: Designate coordinate must exist within the matrix
'''
pass
def set_by_row_or_col(self, replace, coordinate, row_or_col):
'''(Matrix, obj, list of ints, bool) -> None
Replace a particular object in the matrix by a certain column or row
and a position in the row or column. row_or_col dictates whether or not
the object is referenced by row or column. If row_or_col is True, it is
referencing by row, else it is referencing by row. Coordinate contains
two integers, where the first is the coordinate[0]-th row or column and
the second is the coordinate[1]-th item in that row/column
For example if coordinate is [3, 4], and
row_or_col is True return the 4th item in the third column.
REQ: Designate coordinate must exist within the matrix
REQ: Cannot be called upon by symmetric or identity matrix in a way
that would compromise their property of being symmetric or an identity
'''
pass
def get_determinant(self):
'''(Matrix) -> int
Returns the determinant of the matrix. The determinant being the
difference of the product of the item in the first row first column
and item in the second row second column and the product of the item in
the first row second column and the second row first column.
REQ: Matrix must be 2 by 2 and contain only ints
'''
pass
def set_content(self, content):
'''(Matrix, list of obj) -> None
Sets the content of a given Matrix; replacing all elements.
REQ: content must be appropriate to dimensions of calling matrix
'''
pass
class SquareMatrix(Matrix):
'''A class which represents a n by n matrix
'''
def get_by_daig(self, duel_coor):
''' (Matrix, int) -> obj
Return the object at a diagonal position in the calling matrix. For
example, if duel_coor is 6, return the item at the 6th column in
the 6th row.
REQ: Matrix must contain at least as many diagonals as illustraded by
duel_coor
'''
pass
def set_by_diag(self, replace, duel_coor):
''' (Matrix, obj, int) -> None
Replace the object at the diagonal specified by duel_coor with
the object replace.For example, if duel_coor is 6, replace the item
at the 6th column in the 6th row.
REQ: Matrix must contain at least as many diagonals as illustraded by
duel_coor
'''
pass
class SymmetricMatrix(SquareMatrix):
'''A class which represents a n by n symmetrix matrix
'''
def set_by_row_or_col(self, replace, coordinate, treat_as_sym):
'''(Matrix, obj, list of ints, bool, bool) -> None
Replace a particular object in the matrix by a certain column or row
and a position in the row or column. row_or_col dictates whether or not
the object is referenced by row or column. If row_or_col is True, it is
referencing by row, else it is referencing by row. Coordinate contains
two integers, where the first is the coordinate[0]-th row or column and
the second is the coordinate[1]-th item in that row/column
For example if coordinate is [3, 4], and
row_or_col is True return the 4th item in the third column.
REQ: Designate coordinate must exist within the matrix
'''
pass
class IdentityMatrix(SymmetricMatrix):
''' A class which represents an identity matrix
'''
def __init__(self, value=1, dimension):
''' (Matrix, obj, int) -> None
Create an indentity matrix with the object 'value' populating the
diaglonal of the matrix and square dimensions as illustrated by
dimension. By difault, the diagonals will be populated with integer 1.
'''
pass
class OneDMatrix(Matrix):
''' A class which represents a one dimentional matrix
'''
def get_val(self, target_val):
''' (Matrix, int) -> obj
Return the object held in the target_val-th position of the matrix.
REQ: Matrix must have as many positions as illustrated by target_val
'''
pass
def set_val(self, target_val, replace):
''' (Matrix, int, obj) -> None
Replace the object at the target_val-th position of the matrix with
the replace value.
REQ: Matrix must have as many positions as illustrated by target_val
'''
pass
| [
"vincentteng@wifihost-82-190.wireless.utsc.utoronto.ca"
] | vincentteng@wifihost-82-190.wireless.utsc.utoronto.ca |
7d6af601707ee714c69284f9139215e5417fc341 | 895700e89119ef4140befdc38588e51af48793cf | /Hongik_Class/Circular_List.py | 94a0053cfded54f194a6a56ee8db88555974e7b9 | [] | no_license | yoonsangmin/Coding_Test | d17096c5f867c21c05ddcbd854b2a0f32367611c | 122bccd2c584f4f2babad835ea22c12352f690c1 | refs/heads/master | 2023-01-08T06:47:53.276862 | 2020-11-13T01:42:36 | 2020-11-13T01:42:36 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,368 | py | #원형 리스트
#https://blex.me/@baealex/%ED%8C%8C%EC%9D%B4%EC%8D%AC%EC%9C%BC%EB%A1%9C-%EA%B5%AC%ED%98%84%ED%95%9C-%EC%9E%90%EB%A3%8C%EA%B5%AC%EC%A1%B0-%EC%97%B0%EA%B2%B0-%EB%A6%AC%EC%8A%A4%ED%8A%B8
#위의 코드 중 오류 수정 버전
#Node는 [ Data | Next ]
# <Head> <Tail>
# CircleLinkedList는 [ Data | Next ] --> [ Data | Next ] --> [ Data | Next ]
# | |
# -----------------------------------------------
class Node:
def __init__(self, data):
self.data = data
self.next = None
class CircleLinkedList:
def __init__(self, data):
new_node = Node(data)
self.head = new_node
self.tail = None
self.list_size = 1
def __str__(self):
print_list = '[ '
node = self.head
while True:
if node:
print_list += str(node.data)
if node == self.tail:
# 단순 연결 리스트와 달리
# 노드가 테일 노드면 끝난다
break
node = node.next
print_list += ', '
print_list += ' ]'
return print_list
#헤드 추가 함수
def insertFirst(self, data):
new_node = Node(data)
if self.tail == None: #테일 추가
self.tail = self.head
temp_node = self.head
self.head = new_node
self.head.next = temp_node
self.tail.next = new_node #테일 추가
self.list_size += 1
#중간에 넣는 함수는 동일
def insertMiddle(self, num, data):
node = self.selectNode(num)
new_node = Node(data)
temp_next = node.next
node.next = new_node
new_node.next = temp_next
self.list_size += 1
#맨 마지막에 넘느 함수는 tail 처리 필요
def insertLast(self, data):
new_node = Node(data)
if self.tail == None:
self.tail = new_node
self.head.next = self.tail
else:
self.tail.next = new_node
self.tail = new_node
self.tail.next = self.head
self.list_size += 1
def selectNode(self, num):
if self.list_size < num:
print("Overflow")
return
node = self.head
count = 0
while count < num:
node = node.next
count += 1
return node
def deleteNode(self, num):
if self.list_size < 1:
return # Underflow
elif self.list_size < num:
return # Overflow
if num == 0:
self.deleteHead()
return
node = self.selectNode(num - 1)
node.next = node.next.next
del_node = node.next
del del_node
def deleteHead(self):
node = self.head
self.head = node.next
del node
def size(self):
return str(self.list_size)
def get_head_tail(self):
return self.head.data, self.tail.data
#메인 함수
if __name__ == "__main__":
a = CircleLinkedList(100)
print(a.size())
a.insertFirst(999)
a.insertFirst(9990)
a.insertLast(77)
a.insertMiddle(2, 500)
b, c = a.get_head_tail()
print("head:{} tail:{}".format(b, c))
print(a) | [
"kacias@daum.net"
] | kacias@daum.net |
a63f0922e59cac5a62214ffbe9d6b901f45c2afc | 844ac3a61068c6d60fbf2add52d927f29d3453c9 | /main.py | afde28c6164b8aff73edf7f88f59530d4b9e121b | [] | no_license | ilacombe2022/Rock-Paper-Scissors | 21cffa80802361b329d94358f528928a82089485 | efd0597ec8614070f7738ffaa0a0caf850bcca62 | refs/heads/main | 2023-03-22T10:42:37.247944 | 2021-03-11T17:38:50 | 2021-03-11T17:38:50 | 346,786,042 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,867 | py | import random
def choose():
choice = input("Shall we get started? [yes/no]: ").lower().strip()
if choice == "yes":
return choice
elif choice == "no":
print("We understand, thanks anyways.")
exit()
else:
print("That's not the answer we're looking for.")
choose()
def difficulty():
print("Choose your difficulty:")
print("Best of 1")
print("Best of 3")
print("Best of 5")
diff = int(input("\n[1/3/5]: "))
if diff == 1:
bestOfOne(1)
elif diff == 3:
bestOfThree(2)
elif diff == 5:
bestOfFive(3)
else:
print("We do not provide that difficulty.\n")
return difficulty()
def winner(u,c):
print("\nYou beat Al!")
print("Final Score: %d - %d" % (u, c))
print("Number of Rounds: %d" % (round - 1))
def loser(u, c):
print("You lost to Al.")
print("Final Score: %d - %d" % (u, c))
print("Number of Rounds: %d" % (round - 1))
def bestOfOne(num):
print("Rule: \tOne round of Rock-Paper-Scissors.")
print("\t\tFirst person to score 1 point win!")
startGame()
introCPU()
playGame(num)
def bestOfThree(num):
print("Rule: \tThree rounds of Rock-Paper-Scissors.")
print("\t\tFirst person to score 2 points win!")
startGame()
introCPU()
playGame(num)
def bestOfFive(num):
print("Rule: \tFive rounds of Rock-Paper-Scissors.")
print("\t\tFirst person to score 3 points win!")
startGame()
introCPU()
playGame(num)
def playGame(match):
userPoint = 0
computerPoint = 0
round = 1
while userPoint < match and computerPoint < match:
user = input("\nRound #%d, what will you choose? [rock/paper/scissors]: " % round)
computer = random.randrange(1, 4, 1)
if user == "rock" or user == "paper" or user == "scissors":
if user == "rock" and computer == 1:
print("You chose rock and Al chose rock! Tie!")
print("Score: %d - %d" % (userPoint, computerPoint))
round = round + 1
elif user == "rock" and computer == 2:
print("You chose rock and Al chose paper! Al gets a point!")
computerPoint = computerPoint + 1
print("Score: %d - %d" % (userPoint, computerPoint))
round = round + 1
elif user == "rock" and computer == 3:
print("You chose rock and Al chose scissors! You get a point!")
userPoint = userPoint + 1
print("Score: %d - %d" % (userPoint, computerPoint))
round = round + 1
elif user == "paper" and computer == 1:
print("You chose paper and Al chose rock! You gets a point!")
userPoint = userPoint + 1
print("Score: %d - %d" % (userPoint, computerPoint))
round = round + 1
elif user == "paper" and computer == 2:
print("You chose paper and Al chose paper! Tie!")
print("Score: %d - %d" % (userPoint, computerPoint))
round = round + 1
elif user == "paper" and computer == 3:
print("You chose paper and Al chose scissors! Al gets a point!")
computerPoint = computerPoint + 1
print("Score: %d - %d" % (userPoint, computerPoint))
round = round + 1
elif user == "scissors" and computer == 1:
print("You chose scissors and Al chose rock! Al gets a point!")
computerPoint = computerPoint + 1
print("Score: %d - %d" % (userPoint, computerPoint))
round = round + 1
elif user == "scissors" and computer == 2:
print("You chose scissors and Al chose paper! You get a point!")
userPoint = userPoint + 1
print("Score: %d - %d" % (userPoint, computerPoint))
round = round + 1
elif user == "scissors" and computer == 3:
print("You chose scissors and Al chose scissors! Tie!")
print("Score: %d - %d" % (userPoint, computerPoint))
round = round + 1
else:
print("Not an option, time to start over.\n")
playGame(match)
if userPoint == match:
print("\nYou beat Al!")
print("Final Score: %d - %d" % (userPoint, computerPoint))
print("Number of Rounds: %d" % (round - 1))
playAgain()
elif computerPoint == match:
print("You lost to Al.")
print("Final Score: %d - %d" % (userPoint, computerPoint))
print("Number of Rounds: %d" % (round - 1))
playAgain()
def playAgain():
again = input("\nWould you like to play again?[yes/no]: ").lower().strip()
if again == "yes":
difficulty()
elif again == "no":
print("Thanks for playing!")
exit()
else:
print("We are trying to ask if you would like to play again?")
playAgain()
def startGame():
start = input("\nAre you ready to play against the CPU? [yes/no]: ").lower().strip()
if start == "yes":
return start
elif start == "no":
print("Oh! You've changed your mind? That's fine.")
exit()
else:
print("That choice isn't available.\n")
startGame()
def introCPU():
print("Say hello to Al! He will be you opponent!")
print("NOTE: Make sure you spell each word correctly, otherwise, rounds and scores will be reset!")
print("HAVE FUN!")
if __name__ == '__main__':
print("Let's play Rock-Paper-Scissors!")
print("Created by Isaac Lacombe\n")
choose()
difficulty() | [
"noreply@github.com"
] | ilacombe2022.noreply@github.com |
8596d664d4d312c1676cc07523a9763a6db80efd | 50364def388dfcf4015109cc634dc10fc205edb5 | /FaceVerify.py | 8d8e14c1a9a7324c471b99b5b31b72e26ae522d7 | [] | no_license | malhotraguy/traspod | 73bb18221226362035188cb6eade71d9de8ccc16 | 5d9fd5c9ea266bc6660f532a360cb7f538a50796 | refs/heads/master | 2021-01-24T01:13:51.033523 | 2018-03-01T21:57:23 | 2018-03-01T21:57:23 | 122,801,097 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,594 | py | import requests
from io import BytesIO
from PIL import Image, ImageDraw
import cognitive_face as CF
import urllib
import urllib.request as ur
import cv2
import numpy as np
import matplotlib.pyplot as plt
KEY = '6a294681f0f640f3a8b60b1c7de8ea85' # Replace with a valid subscription key (keeping the quotes in place).
CF.Key.set(KEY)
# If you need to, you can change your base API url with:
# CF.BaseUrl.set('https://westus.api.cognitive.microsoft.com/face/v1.0/detect')
BASE_URL = 'https://eastus.api.cognitive.microsoft.com/face/v1.0/' # Replace with your regional Base URL
CF.BaseUrl.set(BASE_URL)
# You can use this example JPG or replace the URL below with your own URL to a JPEG image.
img_url = 'https://raw.githubusercontent.com/malhotraguy/traspod/master/1.jpg'
result = CF.face.detect(img_url)
print(result)
#Convert width height to a point in a rectangle
def getRectangle(faceDictionary):
rect = faceDictionary['faceRectangle']
left = rect['left']
top = rect['top']
bottom = left + rect['height']
right = top + rect['width']
return ((left, top), (bottom, right))
#Download the image from the url
response = requests.get(img_url)
img = Image.open(BytesIO(response.content))
#For each face returned use the face rectangle and draw a red box.
draw = ImageDraw.Draw(img)
for face in result:
draw.rectangle(getRectangle(face), outline='red')
#Display the image in the users default image browser.
img.show()
def url_to_image(url):
"""
a helper function that downloads the image, converts it to a NumPy array,
and then reads it into OpenCV format
"""
resp = ur.urlopen(url)
image = np.asarray(bytearray(resp.read()), dtype="uint8")
image = cv2.imdecode(image, cv2.IMREAD_COLOR)
# return the image
return image
img = url_to_image(img_url)
plt.imshow(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))
plt.axis('off')
height = result[0]['faceRectangle']['height']
left = result[0]['faceRectangle']['left']
top = result[0]['faceRectangle']['top']
width = result[0]['faceRectangle']['width']
plt.imshow(cv2.cvtColor(img[top:top+height, left:left+width], cv2.COLOR_BGR2RGB))
plt.axis('off')
url1 = 'https://raw.githubusercontent.com/malhotraguy/traspod/master/10.jpg'
url2 = 'https://raw.githubusercontent.com/malhotraguy/traspod/master/5.jpg'
url3 = 'https://raw.githubusercontent.com/malhotraguy/traspod/master/4.jpg'
url4 = 'https://raw.githubusercontent.com/malhotraguy/traspod/master/3.jpg'
urls = [url1, url2, url3, url4]
for url in urls:
plt.imshow(cv2.cvtColor(url_to_image(url), cv2.COLOR_BGR2RGB))
plt.axis('off')
plt.show()
results = []
for url in urls:
r = CF.face.detect(url)
results += r,
all_faceid = [f['faceId'] for image in results for f in image]
test_url = 'https://raw.githubusercontent.com/malhotraguy/traspod/master/2.jpg'
plt.imshow(cv2.cvtColor(url_to_image(test_url), cv2.COLOR_BGR2RGB))
test_result = CF.face.detect(test_url)
test_faceId = test_result[0]['faceId']
for f in all_faceid:
r = CF.face.verify(f, test_faceId)
print(r)
identical_face_id = [f for f in all_faceid
if CF.face.verify(f, test_faceId)['isIdentical'] == True]
for i in range(len(results)):
for face in results[i]:
if face['faceId'] in identical_face_id:
height = face['faceRectangle']['height']
left = face['faceRectangle']['left']
top = face['faceRectangle']['top']
width = face['faceRectangle']['width']
plt.imshow(cv2.cvtColor(url_to_image(urls[i])[top:top+height, left:left+width], cv2.COLOR_BGR2RGB))
plt.axis('off')
plt.show()
| [
"noreply@github.com"
] | malhotraguy.noreply@github.com |
f6bb5a74f05f10651cae3ee6b1e226e5f896c8de | 65e0c11d690b32c832b943fb43a4206739ddf733 | /bsdradius/tags/release20060404_v_0_4_0/bsdradius/Typecast.py | 436a5e6ae0899419c20edf50298dd09eb597dcaf | [
"BSD-3-Clause"
] | permissive | Cloudxtreme/bsdradius | b5100062ed75c3201d179e190fd89770d8934aee | 69dba67e27215dce49875e94a7eedbbdf77bc784 | refs/heads/master | 2021-05-28T16:50:14.711056 | 2015-04-30T11:54:17 | 2015-04-30T11:54:17 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,761 | py | ## BSDRadius is released under BSD license.
## Copyright (c) 2006, DATA TECH LABS
## All rights reserved.
##
## Redistribution and use in source and binary forms, with or without
## modification, are permitted provided that the following conditions are met:
## * Redistributions of source code must retain the above copyright notice,
## this list of conditions and the following disclaimer.
## * Redistributions in binary form must reproduce the above copyright notice,
## this list of conditions and the following disclaimer in the documentation
## and/or other materials provided with the distribution.
## * Neither the name of the DATA TECH LABS nor the names of its contributors
## may be used to endorse or promote products derived from this software without
## specific prior written permission.
##
## THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
## ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
## WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
## DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
## ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
## (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
## LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
## ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
## (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
## SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
"""
Functions and methods for casting types from string to
other types.
Contains functions and class for inheritance in other classes.
Supported types: 'str', 'string', 'int', 'hex', 'oct', 'dec', 'bool', 'Template'
"""
# HeadURL $HeadURL: file:///Z:/backup/svn/bsdradius/tags/release20060404_v_0_4_0/bsdradius/Typecast.py $
# Author: $Author: valts $
# File version: $Revision: 201 $
# Last changes: $Date: 2006-04-04 17:22:11 +0300 (Ot, 04 Apr 2006) $
# for typecasting to Template
from string import Template
### functions ###
def getstr (input):
return str(input)
def getstring (input):
return getstr(input)
def getint (input):
return int(str(input))
def gethex (input):
return int(str(input), 16)
def getoct (input):
return int(str(input), 8)
def getdec (input):
return int(str(input), 10)
_booleanStates = {'1': True, 'yes': True, 'y': True, 'true': True, 'on': True,
'0': False, 'no': False, 'n': False, 'false': False, 'off': False}
def getbool (input):
inp = str(input)
if inp.lower() not in _booleanStates:
raise ValueError, 'Not a boolean: %s' % inp
return _booleanStates[inp.lower()]
def getTemplate (input):
return Template(str(input))
class Typecast:
"""Use this class as base class in your classes to
add typecasting functionality. This class defines
methods which are wrappers to functions in module
namespace.
You can override attribute "data" in derived classes.
Since self.data is dictionary (with multiple levels) you can
pass any number of keys to typecasting methods. They all use method
_getItem() which searches recursively in self.data for rightmost key value.
"""
_booleanStates = _booleanStates
def __init__(self):
self.data = {}
def _getItem(self, keys):
"""Search recursively for item by given keys
Input: (str) keys Example: t._getItem('key1', 'key2', 'key3')
Output: (mixed) value
"""
if not keys:
raise KeyError, 'No key specified'
tmp = None
for key in keys:
if tmp is None:
tmp = self.data[key]
else:
tmp = tmp[key]
return tmp
def getstr (self, *keys):
return getstr(self._getItem(keys))
def getstring (self, *keys):
return getstring(self._getItem(keys))
def getint (self, *keys):
return getint(self._getItem(keys))
def gethex (self, *keys):
return gethex(self._getItem(keys))
def getoct (self, *keys):
return getoct(self._getItem(keys))
def getdec (self, *keys):
return getdec(self._getItem(keys))
def getbool (self, *keys):
return getbool(self._getItem(keys))
def getTemplate (self, *keys):
return getTemplate(self._getItem(keys))
# holds references to all supported typecast methods
typecastMethods = {
'str' : getstr,
'string' : getstring,
'int' : getint,
'hex' : gethex,
'oct' : getoct,
'dec' : getdec,
'bool' : getbool,
'Template' : getTemplate,
}
# holds references to all supported typecast methods
Typecast.typecastMethods = {
'str' : Typecast.getstr,
'string' : Typecast.getstring,
'int' : Typecast.getint,
'hex' : Typecast.gethex,
'oct' : Typecast.getoct,
'dec' : Typecast.getdec,
'bool' : Typecast.getbool,
'Template' : Typecast.getTemplate,
}
| [
"valdiic@72071c86-a5be-11dd-a5cd-697bfd0a0cef"
] | valdiic@72071c86-a5be-11dd-a5cd-697bfd0a0cef |
76eac8484a0e0f4385ec8d7a7a8100f4be7cd089 | d6fa7b19190e83447ac7456ccce5e0d8ae7de4f0 | /move.py | dd11292061947f3145cb005a2f669d9ce85a0b32 | [] | no_license | VariousMilkshakes/GRID-py | ffcabd35bd421ca56d1486f7b75c875d073940bc | d243be07016742ab129cb0e48ae64c0f5e0733fa | refs/heads/master | 2016-08-08T04:03:47.105610 | 2013-07-04T21:32:37 | 2013-07-04T21:32:37 | 11,161,532 | 0 | 0 | null | null | null | null | ISO-8859-4 | Python | false | false | 3,402 | py | # -*- coding: cp1252 -*-
from random import randint
import sys
print "Welcome to the this Test"
print "This is test 2: Sam like Woffles!"
print
gY = input("How tall do you want your grid?")
gX = input("How wide do you want your grid?")
oY = gY
oX = gX - 2
Xinput = input("Where do you want to start? (X)")
Yinput = input("Where do you want to start (Y)?")
print
c = 0
while (c == 0):
foodX = randint(0,oX)
foodY = randint(0,oY)
if Xinput == foodX and foodY == Yinput:
c = 0
else:
c = 1
fX = foodX
fY = foodY
item = '#'
mX = Xinput
mY = Yinput
game = 0
ship='A'
jump = False
while(game == 0):
o = 0
x = 0
y = 0
rowXdef = {
0 : [o]
}
while (y <= oY):
while (x <= oX):
rowXdef[y].append(o)
x = x + 1
x = 0
y = y + 1
rowXdef[y] = [o]
mark = rowXdef[mY]
mark[mX] = ship
spawn = rowXdef[fY]
spawn[fX] = item
del rowXdef[(oY + 1)]
del rowXdef[oY]
if mY == fY and mX == fX:
print 'WIN'
raw_input()
sys.exit()
for line in rowXdef:
x = rowXdef[line]
cCell = 0
while (cCell <= oX):
for cell in x:
print cell,
cCell = cCell + 1
print
clean = 0
while (clean == 0):
move = raw_input()
if move == 'w':
if jump == True:
mY = (gY - 1)
jump = False
else:
mY = mY - 1
if mY == 0:
jump = True
ship = 'A'
clean = 1
elif move == 'a':
if jump == True:
mX = (gX - 1)
jump = False
else:
mX = mX - 1
if mX == 0:
jump = True
ship = '<'
clean = 1
elif move == 'd':
if jump == True:
mX = 0
jump = False
else:
mX = mX + 1
if mX == (gX - 1):
jump = True
ship = '>'
clean = 1
elif move == 's':
if jump == True:
mY = 0
jump = False
else:
mY = mY + 1
if mY == (gY - 1):
jump = True
ship = 'V'
clean = 1
else:
print "Īnvalid Movement Key"
| [
"bn.gladstone@gmail.com"
] | bn.gladstone@gmail.com |
77fdcf1dbfc3a529545552210737968c88bf404b | ffaeaf54e891c3dcca735347f27f1980f66b7a41 | /python/1.POP/1.base/01.helloworld.py | 015e87763fe1f07c2320ce7fe71f056ea13d317c | [
"Apache-2.0"
] | permissive | dunitian/BaseCode | 9804e3d8ff1cb6d4d8cca96978b20d168072e8bf | 4855ef4c6dd7c95d7239d2048832d8acfe26e084 | refs/heads/master | 2020-04-13T09:51:02.465773 | 2018-12-24T13:26:32 | 2018-12-24T13:26:32 | 137,184,193 | 0 | 0 | Apache-2.0 | 2018-06-13T08:13:38 | 2018-06-13T08:13:38 | null | UTF-8 | Python | false | false | 970 | py | '''三个单引号多行注释：
print("Hello World!")
print("Hello World!")
print("Hello World!")'''
"""三个双引号多行注释：
print("Hello World!")
print("Hello World!")
print("Hello World!")"""
# 单行注释 输出
print("Hello World!")
# 定义一个变量并输出
name = "小明"
print(name)
print("x" * 10)
print("dnt.dkill.net/now", end='')
print("带你走进中医经络")
print("dnt.dkill.net/now", end="")
print("带你走进中医经络")
# 如果字符串内部既包含'又包含"怎么办？可以用转义字符\来标识
print("I\'m \"OK\"!")
# 如果字符串里面有很多字符都需要转义，就需要加很多\，为了简化，Python还允许用r''表示''内部的字符串默认不转义
print(r'\\\t\\')
# 如果字符串内部有很多换行，用\n写在一行里不好阅读，为了简化，Python允许用'''...'''的格式表示多行内容
print('''我请你吃饭吧～
晚上吃啥？
去厕所，你说呢？''') | [
"39723758+lotapp@users.noreply.github.com"
] | 39723758+lotapp@users.noreply.github.com |
b6191a17aaf91109773e1e4d016a0f29112fe0f6 | d46bae120d44ccec2ac00aa6f7bf2bde744dde73 | /venv/bin/python-config | 570bc983cb0570a1347c2d2bb79d4ba0f54f6602 | [] | no_license | Link-yu/FlaskProject | 9f5bbe4596e2a6212cc8764b36348d9326e5b014 | e3d560067a5ca6d7e4cccc626ea56b9179b0340d | refs/heads/master | 2020-12-02T09:59:53.753105 | 2017-07-11T12:24:45 | 2017-07-11T12:24:45 | 96,673,152 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,353 | #!/home/yupaopao/myPythonProject/venv/bin/python
import sys
import getopt
import sysconfig
valid_opts = ['prefix', 'exec-prefix', 'includes', 'libs', 'cflags',
'ldflags', 'help']
if sys.version_info >= (3, 2):
valid_opts.insert(-1, 'extension-suffix')
valid_opts.append('abiflags')
if sys.version_info >= (3, 3):
valid_opts.append('configdir')
def exit_with_usage(code=1):
sys.stderr.write("Usage: {0} [{1}]\n".format(
sys.argv[0], '|'.join('--'+opt for opt in valid_opts)))
sys.exit(code)
try:
opts, args = getopt.getopt(sys.argv[1:], '', valid_opts)
except getopt.error:
exit_with_usage()
if not opts:
exit_with_usage()
pyver = sysconfig.get_config_var('VERSION')
getvar = sysconfig.get_config_var
opt_flags = [flag for (flag, val) in opts]
if '--help' in opt_flags:
exit_with_usage(code=0)
for opt in opt_flags:
if opt == '--prefix':
print(sysconfig.get_config_var('prefix'))
elif opt == '--exec-prefix':
print(sysconfig.get_config_var('exec_prefix'))
elif opt in ('--includes', '--cflags'):
flags = ['-I' + sysconfig.get_path('include'),
'-I' + sysconfig.get_path('platinclude')]
if opt == '--cflags':
flags.extend(getvar('CFLAGS').split())
print(' '.join(flags))
elif opt in ('--libs', '--ldflags'):
abiflags = getattr(sys, 'abiflags', '')
libs = ['-lpython' + pyver + abiflags]
libs += getvar('LIBS').split()
libs += getvar('SYSLIBS').split()
# add the prefix/lib/pythonX.Y/config dir, but only if there is no
# shared library in prefix/lib/.
if opt == '--ldflags':
if not getvar('Py_ENABLE_SHARED'):
libs.insert(0, '-L' + getvar('LIBPL'))
if not getvar('PYTHONFRAMEWORK'):
libs.extend(getvar('LINKFORSHARED').split())
print(' '.join(libs))
elif opt == '--extension-suffix':
ext_suffix = sysconfig.get_config_var('EXT_SUFFIX')
if ext_suffix is None:
ext_suffix = sysconfig.get_config_var('SO')
print(ext_suffix)
elif opt == '--abiflags':
if not getattr(sys, 'abiflags', None):
exit_with_usage()
print(sys.abiflags)
elif opt == '--configdir':
print(sysconfig.get_config_var('LIBPL'))
| [
"kevinyulk@163.com"
] | kevinyulk@163.com | |
af891e3712afa7d736c6effa451ec60674ec01ed | 8504d656fa7badf8aba07ee4930c4d6b7b886e3c | /news_portal_api/wsgi.py | b6a9ff44f93ecdff4d45e8d9d0ac81e58d81b71a | [] | no_license | SarojRajTiwari/web_api_final | a35a8cb4f55b22cf661901ad12b31c878b7db0a6 | 2ed85ce6566b59e25f554c5a976202954317ca76 | refs/heads/master | 2022-12-12T06:44:13.643069 | 2019-12-02T07:50:07 | 2019-12-02T07:50:07 | 225,308,743 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 407 | py | """
WSGI config for news_portal_api project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/2.2/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'news_portal_api.settings')
application = get_wsgi_application()
| [
"sarojrajtiwari5@gmail.com"
] | sarojrajtiwari5@gmail.com |
8de1127722d96b24e0ea4a854844cb853d233569 | 7193be8e52b2095d8b6472f3ef2104843dca339e | /Project5-Capstone/the_dummy_variables/josh/testing/test_relative_path.py | 1f24c6af184d5ae1c59feb6189e85136b5bb7ee5 | [] | no_license | vuchau/bootcamp007_project | 4b0f37f49a1163ea6d8ee4143a5dcfdef0d352dd | ffbd0f961b18510fc72fd49770187ec1b4b013ae | refs/heads/master | 2020-03-20T13:19:58.812791 | 2017-06-08T05:13:24 | 2017-06-08T05:13:24 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 140 | py | import os
file_dir = os.path.dirname(__file__)
print file_dir
dirname = os.path.dirname
print dirname(dirname(os.path.abspath(__file__)))
| [
"jlitven@gmail.com"
] | jlitven@gmail.com |
a81b7b040209bbe9e4e5f1677ea8da5097ef6593 | 906297c4f691b03e65b454bf9c12ab0331e53589 | /cron/tasks.py | b05b58e0b7ff3f2b13ed3fe898d4431d67695957 | [] | no_license | unamatasanatarai/django-movie-theater | 5798a54044a889c71f937865fe3adfbe477eb6ab | 7d0cd27738b330bfe67eef1a35d2827c2137a222 | refs/heads/master | 2021-01-23T15:07:47.382052 | 2017-09-07T06:33:13 | 2017-09-07T06:33:13 | 102,700,159 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 956 | py | from celery import task
from theater.models import SeatTentative, SeatBooked
from datetime import datetime, timedelta
from rest.communicate import Communicate
@task()
def trim_tentative():
elements = SeatTentative.objects.filter(created_at__lte=(datetime.now() - timedelta(minutes=3)))
movie_ids = elements.values_list('repertoire_id', flat=True).distinct()
elements.delete()
for movie_id in movie_ids:
Communicate.tentative_push(str(movie_id))
@task()
def confirm_payments():
toconfirm = SeatBooked.objects.filter(created_at__lte=(datetime.now() - timedelta(minutes=2)), confirmed=False)
movie_ids = toconfirm.values_list('repertoire_id', flat=True).distinct()
for seat in toconfirm:
seat.confirmed = True
seat.save()
SeatTentative.objects.filter(repertoire_id=seat.repertoire_id, seat_id=seat.id).delete()
for movie_id in movie_ids:
Communicate.tentative_push(str(movie_id))
| [
"piotr.grabowski@interak.pl"
] | piotr.grabowski@interak.pl |
0c3d4e6d095391de301cf46bf58d774a8b2830a2 | 3a12b346c87b05dac63951b3bc9cdd882d5ec9ed | /com/huai/learning/customLoss.py | 5fe805bc9a0714a658b8ffb5710a0f4cfedfc37e | [] | no_license | namebxl/my_tensorflow | 96005d656d33cdb5a8c4a54380adbff5ba697d6f | 43e7ccdc94125b125476747b1897795171ad4358 | refs/heads/master | 2021-06-30T02:51:26.574885 | 2021-01-20T08:05:51 | 2021-01-20T08:05:51 | 213,275,207 | 0 | 0 | null | 2019-10-07T01:52:24 | 2019-10-07T01:52:24 | null | UTF-8 | Python | false | false | 1,002 | py | import tensorflow as tf
from numpy.random import RandomState
batch_size = 8;
x = tf.placeholder(tf.float32, shape=(None, 2), name="x-input")
y_ = tf.placeholder(tf.float32, shape=(None, 1), name="y-input")
w1 = tf.Variable(tf.random_normal([2, 1], stddev=1, seed=1));
y = tf.matmul(x, w1);
loss_less = 10;
loss_more = 1;
loss = tf.reduce_sum(tf.where(tf.greater(y, y_),
(y - y_)*loss_more, (y_-y)*loss_less));
train_step = tf.train.AdamOptimizer(0.001).minimize(loss);
rdm = RandomState(1);
dataset_size = 128;
X = rdm.rand(dataset_size, 2);
Y = [[x1 + x2 + rdm.rand()/10.0 - 0.05] for (x1, x2) in X];
with tf.Session() as sess:
init_op = tf.initialize_all_variables();
sess.run(init_op);
STEPS = 5000;
for i in range(STEPS):
start = (i * batch_size)%dataset_size;
end = min(start + batch_size, dataset_size);
sess.run(train_step, feed_dict={x: X[start: end], y_:Y[start: end]})
print(sess.run(w1));
| [
"1757153156@qq.com"
] | 1757153156@qq.com |
bfce90df81d846a317456efccf614e1b2558a113 | 495fbb4b87586186480826273abf55b947d9c366 | /Adivinar_el_numero.py | 989c64be349a9c164f29fa88863b8a2871297b8a | [] | no_license | GitBis/-FP-_Labo06_-00370819- | d7b777a76096e7936e5114b10516876f11f360b0 | 074166f4caefc9a3e4cbd214e40df6556f4dfd24 | refs/heads/master | 2020-08-13T04:06:13.414501 | 2019-10-16T05:53:26 | 2019-10-16T05:53:26 | 214,902,229 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 842 | py | import random
print("ADIVINA EL NUMERO")
comprobar = True
contador = 1
while comprobar == True:
n = int(input("Ingrese un numero del 1 al 10: "))
if n > 0 and n < 11:
all = random.randrange(1,10)
if n == all:
print(all)
print(f"numero de intentos: {contador}")
else:
while n != all:
if n > all:
n = int(input("¡Te pasastes! vuelve a intentar: "))
contador += 1
elif n < all:
n = int(input("¡Prueba un numero mayor! : "))
contador += 1
print(f"El numero aleatorio era: {all}")
print(f"numero de intentos: {contador}")
comprobar = False
else:
print("Ese no es un numero del 1 al 10 vuelve a intentar")
| [
"00370819@uca.edu.sv"
] | 00370819@uca.edu.sv |
a135ba849e3b4b36122c67ab34cbc6fde8d2f519 | 702c7b618951339f31b4161f55bbbd8f3ffd7811 | /hw1/hw1.py | 94d3f51e7f777b1727c9f5569e4fa7bc34d19109 | [] | no_license | erhla/machine-learning | 839f581676cb003d304a2f6efc0528885fce993c | 6e9bb6fa377a91039695a717f932f14e5f2214d9 | refs/heads/master | 2020-05-04T23:31:05.531591 | 2019-05-29T20:12:28 | 2019-05-29T20:12:28 | 179,546,114 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,773 | py | '''
Homework 1
Eric Langowski
'''
import pandas as pd
from sodapy import Socrata
import geopandas
import shapely
#Problem 1
CRIMES_18 = '3i3m-jwuy'
CRIMES_17 = 'd62x-nvdr'
CENSUS_TRACTS = '74p9-q2aq'
def get_crime_data(cid):
'''
gets crime data from City of Chicago API
'''
client = Socrata('data.cityofchicago.org', None)
current = 0
results = client.get(cid, limit=2000, offset=current)
while len(results) > 0:
current += 2000
new = client.get(cid, limit=2000, offset=current)
if new:
results.append(new)
else:
break
print(current)
return pd.DataFrame.from_records(results)
def download_17_18():
'''
Downloads '17 and '18 Crime data
'''
crime_17 = get_crime_data(CRIMES_17)
crime_18 = get_crime_data(CRIMES_18)
return pd.concat(crime_17, crime_18)
CSV_URL = 'https://data.cityofchicago.org/api/views/'
CSV_FRAG = '/rows.csv?accessType=DOWNLOAD'
URLS = {'17': CSV_URL + CRIMES_17 + CSV_FRAG,
'18': CSV_URL + CRIMES_18 + CSV_FRAG}
def download_17_18_alt():
'''
Alternate method to download '17 and '18 crime data
'''
crime_17 = pd.read_csv(URLS['17'])
crime_18 = pd.read_csv(URLS['18'])
df = pd.concat([crime_17, crime_18])
df['Date'] = pd.to_datetime(df['Date'])
return df
CENSUS_VARIABLES = {"S0101_C01_001E": "Population",
"S1701_C02_001E": "Population in Poverty",
"S1901_C01_012E": "Median income",
"S1501_C02_015E": "Percent Population with Bachelors",
"S2303_C02_033E": "Percent Population working full-time",
"S1601_C02_003E": "Percent speaking not English"}
CENSUS_URL = "https://api.census.gov/data/2017/acs/acs5/subject?get="
CENSUS_FRAG = "&for=tract:*&in=state:17&in=county:031"
def get_census_data():
'''
gets census data for Census tracts in Chicago. Modify dictionary
census_variables to change which variables are retrieved
'''
url = CENSUS_URL + ",".join(CENSUS_VARIABLES.keys()) + CENSUS_FRAG
df = pd.read_json(url, orient='records')
new_cols = list(CENSUS_VARIABLES.values()) + ['state', 'county', 'tract']
df.columns = new_cols
df = df.drop(df.index[0])
df = df.drop(['state', 'county'], axis=1)
return df
def geomerge(crime_data):
'''
Note: Some of this code is from my group's 122 project which made a
spatial join on Chicago's neighborhoods. This takes the crime data
and performs a spatial join on Chicago's census tracts.
Returns: (geodf) the crime df
'''
client = Socrata('data.cityofchicago.org', None)
files = client.get(CENSUS_TRACTS)
df = pd.DataFrame(files)
df['the_geom'] = df['the_geom'].apply(shapely.geometry.shape)
df = geopandas.GeoDataFrame(df, geometry='the_geom')
df.crs = {'init': 'espg:4326'}
df = df[['the_geom', 'tractce10']]
crime_data = crime_data[crime_data['Longitude'].notna()]
crime_data['Location'] = crime_data['Location'].str.strip('()').str.split(',')
crime_data['Location'] = crime_data['Location'].apply(lambda x: (float(x[1]), float(x[0])))
crime_data.loc[:, 'Location'] = crime_data['Location'].apply(shapely.geometry.Point)
geodf = geopandas.GeoDataFrame(crime_data, geometry='Location')
geodf.crs = {'init': 'espg:4326'}
#Memory performance hack
ls = []
step = 4000
num_steps = geodf.shape[0] % step - 2
counter = 0
while num_steps > 0:
if (counter + 1) * step > geodf.shape[0]:
break
ls.append(geopandas.sjoin(geodf[step*counter:(counter+1)*step], df, how='left', op='within'))
counter = counter + 1
num_steps = num_steps - 1
return pd.concat(ls)
| [
"langowski@cs.uchicago.edu"
] | langowski@cs.uchicago.edu |
4e72b71582b2240f32ecf38474428072ef1b7413 | 9e7b9e91b8425061a5ad36e0dd630a799ec79f6f | /opencv_cookbook.py | 49d0d5b8c67cdd2753d61353ec3e42ef9014ce83 | [] | no_license | OlgaBelitskaya/colab_notebooks | c27fad60f7e4ca35287e2561487b5d9d82efde43 | d568149c8bcfb0025f7b09120ca44f639ac40efe | refs/heads/master | 2023-07-07T23:02:49.289280 | 2021-08-14T08:16:38 | 2021-08-14T08:16:38 | 158,067,383 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 8,397 | py | # -*- coding: utf-8 -*-
"""opencv_cookbook.ipynb
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/1GD7Oi1LtFaEi8VOjiBM5cj5ayWpaejaf
# OpenCV Cookbook
## Libraries & Color Tools
"""
import warnings; warnings.filterwarnings('ignore')
import urllib,cv2
from skimage import io,transform
import numpy as np,pylab as pl
import seaborn as sb,scipy as sp
fpath='https://olgabelitskaya.github.io/'
pl.style.use('seaborn-whitegrid')
pl.rcParams['figure.figsize']=(7,7)
ColorFlags=[flag for flag in dir(cv2) if flag.startswith('COLOR')]
print (np.array(ColorFlags[:30]))
def get_image(original,flag,fpath=fpath):
input_file=urllib.request.urlopen(fpath+original)
output_file=open(original,'wb');
output_file.write(input_file.read())
output_file.close(); input_file.close()
img=cv2.imread(original)
return cv2.cvtColor(img,flag)
"""## Data"""
plist=[get_image('pattern0%s.jpeg'%(i+1),flag=cv2.COLOR_BGR2RGB)
for i in range(7)]
flower_img=get_image('flower.png',flag=cv2.COLOR_BGR2RGB)
cat_img=get_image('cat.png',flag=cv2.COLOR_BGR2RGB)
img=plist[2]
st='Image parameters: size - %s; shape - %s; type - %s'
print (st%(img.size,img.shape,img.dtype))
pl.imshow(img); pl.show()
"""## Simple Manipulations"""
img_inv=cv2.bitwise_not(img)
pl.imshow(img_inv); pl.show()
img_w2b=img.copy()
img_w2b[np.where((img_w2b==[255,255,255]).all(axis=2))]=[0,0,0]
pl.imshow(img_w2b); pl.show()
pl.rcParams['figure.figsize']=(14,7)
pl.figure(1); pl.subplot(121)
img_gray1=cv2.cvtColor(img,cv2.COLOR_RGB2GRAY)
pl.imshow(img_gray1)
pl.subplot(122)
img_gray2=cv2.cvtColor(img_w2b,cv2.COLOR_RGB2GRAY)
pl.imshow(img_gray2); pl.show()
pl.rcParams['figure.figsize']=(8,8); N=50
# skimage & opencv - grayscale, resize, invert
img_skgray=io.imread('pattern03.jpeg',as_gray=True)
img_skgray_resized=transform.resize(img_skgray,(N,N))
img_skgray_resized2=cv2.bitwise_not(img_skgray_resized)
img_cvgray_resized=cv2.resize(img_gray1,(N,N),
interpolation=cv2.INTER_CUBIC)
img_cvgray_resized2=cv2.bitwise_not(img_cvgray_resized)
pl.figure(1); pl.subplot(221)
pl.imshow(img_skgray_resized,cmap=pl.cm.Greys)
pl.subplot(222)
pl.imshow(img_skgray_resized2)
pl.subplot(223)
pl.imshow(img_cvgray_resized,cmap=pl.cm.Greys)
pl.subplot(224)
pl.imshow(img_cvgray_resized); pl.show()
pl.rcParams['figure.figsize']=(8,8)
# split color channels
img0=plist[0]; b,g,r=cv2.split(img0)
# merge channels
img_merged=cv2.merge([b,g,r])
# display one of the channels
pl.figure(1); pl.subplot(231); pl.imshow(r,cmap=pl.cm.Reds_r)
pl.subplot(232); pl.imshow(g,cmap=pl.cm.Greens_r)
pl.subplot(233); pl.imshow(b,cmap=pl.cm.Blues_r)
# display merged image
pl.subplot(234); pl.imshow(img_merged); pl.show()
hsv_img=cv2.cvtColor(img0,cv2.COLOR_RGB2HSV_FULL)
lab_img=cv2.cvtColor(img0,cv2.COLOR_RGB2LAB)
pl.figure(1); pl.subplot(121); pl.imshow(hsv_img)
pl.subplot(122); pl.imshow(lab_img); pl.show()
pl.rcParams['figure.figsize']=(12,4)
# flip images
img_vertical_flipped=cv2.flip(img,0)
img_horizontal_flipped=cv2.flip(img,1)
img_transposed=cv2.transpose(img)
pl.figure(1); pl.subplot(131); pl.imshow(img_vertical_flipped)
pl.subplot(132); pl.imshow(img_horizontal_flipped)
pl.subplot(133); pl.imshow(img_transposed); pl.show()
"""## Advanced Transformations"""
# repeat the fragment
img_twice=img.copy()
img_fragment=img_twice[15:60,15:60]
img_twice[105:105+img_fragment.shape[0],105:105+\
img_fragment.shape[1]]=img_fragment
pl.imshow(img_twice); pl.show()
pl.rcParams['figure.figsize']=(8,4)
# perspective transformation
rows,cols,ch=img.shape
pts1=np.float32([[10,10],[140,40],[10,140],[140,100]])
pts2=np.float32([[0,0],[150,0],[0,150],[150,150]])
m=cv2.getPerspectiveTransform(pts1,pts2)
dst=cv2.warpPerspective(img,m,(150,150))
pl.subplot(121),pl.imshow(img),pl.title('Input')
pl.scatter(pts1[:,0],pts1[:,1],c='g')
pl.subplot(122),pl.imshow(dst),pl.title('Output')
pl.xlim(-5,155); pl.ylim(155,-5)
pl.scatter(pts2[:,0],pts2[:,1],c='g'); pl.show()
pl.rcParams['figure.figsize']=(16,8)
# gradient filters
img2=img0.copy()
img2_gray=cv2.cvtColor(img2,cv2.COLOR_BGR2GRAY)
laplacian=cv2.Laplacian(img2_gray,cv2.CV_64F,ksize=5)
sobel=cv2.Sobel(img2_gray,cv2.CV_64F,1,0,ksize=3)
scharr=cv2.Scharr(img2_gray,cv2.CV_64F,1,0)
pl.subplot(1,4,1),pl.imshow(img2)
pl.title('Original'),pl.xticks([]),pl.yticks([])
pl.subplot(1,4,2),pl.imshow(laplacian,cmap=pl.cm.bone)
pl.title('Laplacian'),pl.xticks([]),pl.yticks([])
pl.subplot(1,4,3),pl.imshow(sobel,cmap=pl.cm.bone)
pl.title('Sobel'),pl.xticks([]),pl.yticks([])
pl.subplot(1,4,4),pl.imshow(scharr,cmap=pl.cm.bone)
pl.title('Scharr'),pl.xticks([]),pl.yticks([]); pl.show()
pl.rcParams['figure.figsize']=(12,12)
# erosion
kernel=np.ones((3,3),np.uint8)
erosion=cv2.erode(img_gray1,kernel,iterations=1)
pl.subplot(2,2,1),pl.imshow(img_gray1)
pl.title('Original Gray'),pl.xticks([]),pl.yticks([])
pl.subplot(2,2,2),pl.imshow(erosion,cmap=pl.cm.bone)
pl.title('Erosion'),pl.xticks([]),pl.yticks([])
img_gray1_inv=cv2.bitwise_not(img_gray1)
erosion_inv=cv2.erode(img_gray1_inv,kernel,iterations=1)
pl.subplot(2,2,3),pl.imshow(img_gray1_inv)
pl.title('Inverted Gray'),pl.xticks([]),pl.yticks([])
pl.subplot(2,2,4),pl.imshow(erosion_inv,cmap=pl.cm.bone)
pl.title('Erosion for Inverted')
pl.xticks([]),pl.yticks([]); pl.show()
# morphological gradient
gradient=cv2.morphologyEx(img,cv2.MORPH_GRADIENT,kernel)
pl.subplot(1,2,1),pl.imshow(img)
pl.title('Original Gray'),pl.xticks([]),pl.yticks([])
pl.subplot(1,2,2),pl.imshow(gradient,cmap=pl.cm.bone)
pl.title('Morphological Gradient')
pl.xticks([]),pl.yticks([]); pl.show()
"""## Edges' Detection"""
pl.rcParams['figure.figsize']=(12,6)
img_gray0=cv2.cvtColor(img0,cv2.COLOR_RGB2GRAY)
edge_img=img.copy(); edge_img0=img0.copy()
edge=cv2.Canny(img_gray1,90,240)
edge_img[edge!=0]=(0,255,0)
edge0=cv2.Canny(img_gray0,90,240)
edge_img0[edge0!=0]=(0,255,0)
pl.figure(1); pl.subplot(121); pl.imshow(edge_img)
pl.subplot(122); pl.imshow(edge_img0); pl.show()
"""## Key Points"""
pl.rcParams['figure.figsize']=(16,6)
orb_img=flower_img.copy()
orb=cv2.ORB_create()
keypoints=orb.detect(orb_img,None)
keypoints,descriptors=orb.compute(orb_img,keypoints)
cv2.drawKeypoints(orb_img,keypoints,orb_img)
match_img=np.zeros(flower_img.shape,np.uint8)
center_img=flower_img[60:140,90:180]
match_img[60:140,100:180]=[0,0,0]
center_img=cv2.flip(center_img,0)
match_img[100:100+center_img.shape[0],
150:150+center_img.shape[1]]=center_img
pl.figure(1); pl.subplot(121); pl.imshow(orb_img)
pl.subplot(122); pl.imshow(match_img); pl.show()
pl.rcParams['figure.figsize']=(16,6)
match_keypoints=orb.detect(match_img,None)
match_keypoints,match_descriptors=\
orb.compute(match_img,match_keypoints)
brute_force=cv2.BFMatcher(cv2.NORM_HAMMING,crossCheck=True)
matches=brute_force.match(descriptors,match_descriptors)
matches=sorted(matches,key=lambda x:x.distance)
draw_matches=cv2.drawMatches(orb_img,keypoints,
match_img,match_keypoints,
matches[:9],orb_img)
pl.imshow(draw_matches); pl.show()
"""## Object Detection"""
pl.rcParams['figure.figsize']=(8,8)
url='haarcascade_frontalcatface.xml'
input_file=urllib.request.urlopen(fpath+url)
output_file=open(url,'wb')
output_file.write(input_file.read())
output_file.close(); input_file.close()
gray_cat_img=cv2.cvtColor(cat_img,cv2.COLOR_RGB2GRAY)
catface_img=cat_img.copy()
catface_cascade=cv2.CascadeClassifier(url)
catfaces=catface_cascade.detectMultiScale(gray_cat_img,1.095,6)
for (x,y,w,h) in catfaces:
cv2.rectangle(catface_img,(x,y),(x+w,y+h),(0,255,0),3)
pl.figure(1); pl.subplot(121); pl.imshow(cat_img)
pl.subplot(122); pl.imshow(catface_img); pl.show()
pl.rcParams['figure.figsize']=(12,12)
sport_img=get_image('sport.jpg',flag=cv2.COLOR_BGR2RGB)
gray_sport_img=cv2.cvtColor(sport_img,cv2.COLOR_RGB2GRAY)
face_img=sport_img.copy()
url='haarcascade_frontalface_default.xml'
input_file=urllib.request.urlopen(fpath+url)
output_file=open(url,'wb')
output_file.write(input_file.read())
output_file.close(); input_file.close()
face_cascade=cv2.CascadeClassifier(url)
faces=face_cascade.detectMultiScale(gray_sport_img,1.095,4)
for (x,y,w,h) in faces:
cv2.rectangle(face_img,(x,y),(x+w,y+h),(0,255,0),3)
pl.figure(1); pl.subplot(211); pl.imshow(sport_img)
pl.subplot(212); pl.imshow(face_img); pl.show() | [
"safuolga@gmail.com"
] | safuolga@gmail.com |
88ea9f503fbe4878090275c2480106a7648b48f2 | f94e4955f9d16b61b7c9bff130b9d9ee43436bea | /labs/lab06/lab06.py | 1c1dac20000f742c21337b538d3d8ac3b9563bc4 | [] | no_license | j2chu/dsc80-sp19 | bd1dade66c19b920a54b0f8551fd999185449f86 | dd48210a7cbadfb6470104b275f34085437e4766 | refs/heads/master | 2020-06-01T23:22:32.727488 | 2019-06-07T01:46:11 | 2019-06-07T01:46:11 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,275 | py | import os
import pandas as pd
import numpy as np
import requests
import bs4
import json
# ---------------------------------------------------------------------
# Question # 1
# ---------------------------------------------------------------------
def question1():
"""
NOTE: You do NOT need to do anything with this function.
The function for this question makes sure you
have a correctly named HTML file in the right
place. Note: This does NOT check if the supplementary files
needed for your page are there!
>>> os.path.exists('lab06_1.html')
True
"""
# Don't change this function body!
# No python required; create the HTML file.
return
# ---------------------------------------------------------------------
# Question # 2
# ---------------------------------------------------------------------
def extract_book_links(text):
"""
:Example:
>>> fp = os.path.join('data', 'products.html')
>>> out = extract_book_links(open(fp, encoding='utf-8').read())
>>> url = 'scarlet-the-lunar-chronicles-2_218/index.html'
>>> out[0] == url
True
"""
return ...
def get_product_info(text):
"""
:Example:
>>> fp = os.path.join('data', 'Frankenstein.html')
>>> out = get_product_info(open(fp, encoding='utf-8').read())
>>> isinstance(out, dict)
True
>>> 'UPC' in out.keys()
True
>>> out['Rating']
'Two'
"""
return ...
def scrape_books(k):
"""
:param k: number of book-listing pages to scrape.
:returns: a dataframe of information on (certain) books
on the k pages (as described in the question).
:Example:
>>> out = scrape_books(1)
>>> out.shape
(1, 10)
>>> out['Rating'][0] == 'Five'
True
>>> out['UPC'][0] == 'ce6396b0f23f6ecc'
True
"""
return ...
# ---------------------------------------------------------------------
# Question 3
# ---------------------------------------------------------------------
def send_requests(apiKey, *args):
"""
:param apiKey: apiKey from newsapi website
:param args: number of languages as strings
:return: a list of dictionaries, where keys correspond to languages
and values correspond to Response objects
>>> responses = send_requests(os.environ['API_KEY'], "ru", "fr")
>>> isinstance(responses[0], dict)
True
>>> isinstance(responses[1], dict)
True
"""
return ...
def gather_info(resp):
"""
Finds some basic information from the obtained responses
:param resp: a list of dictionaries
:return: a list with the following items:
language that has the most number of news
most common base url for every language
>>> responses = send_requests(os.environ['API_KEY'], "ru", "fr")
>>> result = gather_info(responses)
>>> isinstance(result[0], str)
True
>>> len(result) == len(responses) + 1
True
"""
return ...
# ---------------------------------------------------------------------
# Question # 4
# ---------------------------------------------------------------------
def depth(comments):
"""
:Example:
>>> fp = os.path.join('data', 'comments.csv')
>>> comments = pd.read_csv(fp, sep='|')
>>> depth(comments).max() == 5
True
"""
return ...
# ---------------------------------------------------------------------
# DO NOT TOUCH BELOW THIS LINE
# IT'S FOR YOUR OWN BENEFIT!
# ---------------------------------------------------------------------
# Graded functions names! DO NOT CHANGE!
# This dictionary provides your doctests with
# a check that all of the questions being graded
# exist in your code!
GRADED_FUNCTIONS = {
'q01': ['question1'],
'q02': ['extract_book_links', 'get_product_info', 'scrape_books'],
'q03': ['send_requests', 'gather_info'],
'q04': ['depth']
}
def check_for_graded_elements():
"""
>>> check_for_graded_elements()
True
"""
for q, elts in GRADED_FUNCTIONS.items():
for elt in elts:
if elt not in globals():
stmt = "YOU CHANGED A QUESTION THAT SHOULDN'T CHANGE! \
In %s, part %s is missing" % (q, elt)
raise Exception(stmt)
return True
| [
"aaron.fraenkel@gmail.com"
] | aaron.fraenkel@gmail.com |
24966601f3f870f304dc6d67df48fa497d89c512 | 46d04bd3a1f8d53b147133b4b7a8c0c4fa58d9cd | /app/views.py | 2b2d2323ce93f7cddcf6e68625ba576e2bd2e6e0 | [] | no_license | RitikaSethiya/TB-strategic-planning-Web-App | f2c63d97413d1c384b591948cf812ac8dcf071c1 | be1b9b3f5d510696cd8a76160426977032d27ed1 | refs/heads/master | 2022-08-13T19:10:01.334557 | 2020-05-11T11:59:40 | 2020-05-11T11:59:40 | 263,017,987 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 28,346 | py | # -*- encoding: utf-8 -*-
"""
License: MIT
Copyright (c) 2019 - present AppSeed.us
"""
# Python modules
import os, logging
import pandas as pd
import numpy as np
import requests
import base64
import pickle
import json
import tablib
# Flask modules
from flask import render_template, request, url_for, redirect, send_from_directory
from flask_login import login_user, logout_user, current_user, login_required
from werkzeug.exceptions import HTTPException, NotFound, abort
from flask import jsonify
# App modules
from app import app, lm, db, bc
from app.models import User
from app.forms import LoginForm, RegisterForm
# dataset = tablib.Dataset()
# with open(os.path.join(os.path.dirname(__file__),'rotated_prediction.csv')) as f:
# dataset.csv = f.read()
@app.route("/table.html")
def table():
data = pd.read_csv(r"C:\Users\Ritika\AppData\Local\Programs\Python\Python37\DMWebapp\app\rotated_prediction.csv")
# data = "/dataset.html"
#return dataset.html
return render_template('pages/table.html', dataa=data)
#provide login manager with load_user callback
@lm.user_loader
def load_user(user_id):
return User.query.get(int(user_id))
# Logout user
@app.route('/logout.html')
def logout():
logout_user()
return redirect(url_for('index'))
# Register a new user
@app.route('/register.html', methods=['GET', 'POST'])
def register():
# declare the Registration Form
form = RegisterForm(request.form)
msg = None
if request.method == 'GET':
return render_template( 'pages/register.html', form=form, msg=msg )
# check if both http method is POST and form is valid on submit
if form.validate_on_submit():
# assign form data to variables
username = request.form.get('username', '', type=str)
password = request.form.get('password', '', type=str)
email = request.form.get('email' , '', type=str)
# filter User out of database through username
user = User.query.filter_by(user=username).first()
# filter User out of database through username
user_by_email = User.query.filter_by(email=email).first()
if user or user_by_email:
msg = 'Error: User exists!'
else:
pw_hash = password #bc.generate_password_hash(password)
user = User(username, email, pw_hash)
user.save()
msg = 'User created, please <a href="' + url_for('login') + '">login</a>'
else:
msg = 'Input error'
return render_template( 'pages/register.html', form=form, msg=msg )
# Authenticate user
@app.route('/login.html', methods=['GET', 'POST'])
def login():
# Declare the login form
form = LoginForm(request.form)
# Flask message injected into the page, in case of any errors
msg = None
# check if both http method is POST and form is valid on submit
if form.validate_on_submit():
# assign form data to variables
username = request.form.get('username', '', type=str)
password = request.form.get('password', '', type=str)
# filter User out of database through username
user = User.query.filter_by(user=username).first()
if user:
#if bc.check_password_hash(user.password, password):
if user.password == password:
login_user(user)
return redirect(url_for('index'))
else:
msg = "Wrong password. Please try again."
else:
msg = "Unknown user"
return render_template( 'pages/login.html', form=form, msg=msg )
# App main route + generic routing
@app.route('/', defaults={'path': 'index.html'})
@app.route('/<path>')
def index(path):
if not current_user.is_authenticated:
return redirect(url_for('login'))
content = None
try:
# @WIP to fix this
# Temporary solution to solve the dependencies
if path.endswith(('.png', '.svg' '.ttf', '.xml', '.ico', '.woff', '.woff2')):
return send_from_directory(os.path.join(app.root_path, 'static'), path)
# try to match the pages defined in -> pages/<input file>
return render_template( 'pages/'+path )
except:
return render_template('layouts/auth-default.html',
content=render_template( 'pages/404.html' ) )
@app.route('/charts', methods=['GET'])
def map():
district = request.args.get('name')
df = pd.read_csv(r"C:\Users\Ritika\AppData\Local\Programs\Python\Python37\DMWebapp\app\tb_full.csv")
xold=df[df["Location"]==district]
x_axis = xold['Year']
y_axis= xold['total_cases']
name=df['Location'].unique()
rate=y_axis.pct_change()
rate=round(rate.fillna(value=0),4)
rate=rate.replace(np.inf, 0)
line_labelsold=round(x_axis,2)
line_valuesold=round(y_axis,2)
smear=xold["smear"]
data_points_0 = zip(line_labelsold,line_valuesold,smear,rate)
df1=pd.concat([x_axis,rate],axis=1)
df1.columns=['Year','Total Cases Spread rate']
df1.reset_index(drop=True, inplace=True)
path=r"C:\Users\Ritika\AppData\Local\Programs\Python\Python37\DMWebapp\app\templates\pages\\"+district+".csv"
df1.to_csv(path)
return render_template('pages/charts.html', title=district,my_list=data_points_0)
@app.route('/graphs', methods=['GET','POST'])
def value():
district = request.args.get('name')
if request.method == 'POST':
so = request.form.get('so')
no = request.form.get('no')
rspmm = request.form.get('rspm')
rainfall = request.form.get('rainfall')
temperature = request.form.get('temperature')
humidity = request.form.get('humidity')
loc=district
no2=no
so2=so
rspm=rspmm
print(loc,no2,so2,rspm,rainfall,temperature,humidity)
data={'loc':loc,'rspm':int(rspm),'no2':int(no2),'so2':int(so2),'rainfall':int(rainfall),'temperature':int(temperature),'humidity':int(humidity)}
response = requests.post('https://beprojectdm.pythonanywhere.com/dm',data=json.dumps(data)).json()
df1=pickle.loads(base64.b64decode(response['prediction'].encode()))
df2=pd.read_csv(r"C:\Users\Ritika\AppData\Local\Programs\Python\Python37\DMWebapp\app\tb_yearly.csv")
dff=df2.append(df1)
dff.to_csv(r"C:\Users\Ritika\AppData\Local\Programs\Python\Python37\DMWebapp\app\prediction2.csv")
x=dff[dff["Location"]==loc]
x_axis = x['Year']
y_axis= x['total_cases']
smearnew=x["smear"]
ratenew=y_axis.pct_change()
ratenew=round(ratenew.fillna(value=0),4)
ratenew=ratenew.replace(np.inf, 0)
name=dff['Location'].unique()
line_labelsnew=round(x_axis,2)
line_valuesnew=round(y_axis,2)
data_points_1 = zip(line_labelsnew,line_valuesnew,smearnew,ratenew)
df3=pd.concat([x_axis,ratenew],axis=1)
df3.columns=['Year','Total Cases Spread rate']
df3.reset_index(drop=True, inplace=True)
path=r"C:\Users\Ritika\AppData\Local\Programs\Python\Python37\DMWebapp\app\templates\pages\\"+district+"_retrain.csv"
df3.to_csv(path)
# df1 = pd.read_csv(r"C:\Users\Ritika\AppData\Local\Programs\Python\Python37\DMWebapp\app\predicted.csv")
df = pd.read_csv(r"C:\Users\Ritika\AppData\Local\Programs\Python\Python37\DMWebapp\app\tb_full.csv")
xold=df[df["Location"]==district]
x_axis = xold['Year']
y_axis= xold['total_cases']
rateold=y_axis.pct_change()
rateold=round(rateold.fillna(value=0),4)
rateold=rateold.replace(np.inf, 0)
name=df['Location'].unique()
line_labelsold=round(x_axis,2)
line_valuesold=round(y_axis,2)
smearold=xold["smear"]
data_points_0 = zip(line_labelsold,line_valuesold,smearold,rateold)
return render_template('pages/graphs.html', title=district,my_list=data_points_0,my_list_1=data_points_1,rainfall=rainfall,temperature=temperature,humidity=humidity)
@app.route('/triple', methods=['POST'])
def triple():
district = request.args.get('name')
if request.method == 'POST':
so = request.values.get('so')
no = request.values.get('no')
rspmm = request.values.get('rspm')
rainfall = request.values.get('rainfall')
temperature = request.values.get('temperature')
humidity = request.values.get('humidity')
loc=district
no2=no
so2=so
rspm=rspmm
data={'loc':loc,'rspm':int(rspm),'no2':int(no2),'so2':int(so2),'rainfall':int(rainfall),'temperature':int(temperature),'humidity':int(humidity)}
response = requests.post('https://beprojectdm.pythonanywhere.com/dm',data=json.dumps(data)).json()
df1=pickle.loads(base64.b64decode(response['prediction'].encode()))
df2=pd.read_csv(r"C:\Users\Ritika\AppData\Local\Programs\Python\Python37\DMWebapp\app\tb_yearly.csv")
dff=df2.append(df1)
x=dff[dff["Location"]==loc]
x_axis = x['Year']
y_axis= x['total_cases']
smearnew=x["smear"]
ratenew=y_axis.pct_change()
ratenew=round(ratenew.fillna(value=0),4)
ratenew=ratenew.replace(np.inf, 0)
name=dff['Location'].unique()
line_labelsnew=round(x_axis,2)
line_valuesnew=round(y_axis,2)
data_points_2 = zip(line_labelsnew,line_valuesnew,smearnew,ratenew)
df3=pd.concat([x_axis,ratenew],axis=1)
df3.columns=['Year','Total Cases Spread rate']
df3.reset_index(drop=True, inplace=True)
path=r"C:\Users\Ritika\AppData\Local\Programs\Python\Python37\DMWebapp\app\templates\pages\\"+district+"_retrain.csv"
df3.to_csv(path)
# df1 = pd.read_csv(r"C:\Users\Ritika\AppData\Local\Programs\Python\Python37\DMWebapp\app\predicted.csv")
df = pd.read_csv(r"C:\Users\Ritika\AppData\Local\Programs\Python\Python37\DMWebapp\app\tb_full.csv")
xold=df[df["Location"]==district]
x_axis = xold['Year']
y_axis= xold['total_cases']
rateold=y_axis.pct_change()
rateold=round(rateold.fillna(value=0),4)
rateold=rateold.replace(np.inf, 0)
name=df['Location'].unique()
line_labelsold=round(x_axis,2)
line_valuesold=round(y_axis,2)
smearold=xold["smear"]
data_points_0 = zip(line_labelsold,line_valuesold,smearold,rateold)
dff=pd.read_csv(r"C:\Users\Ritika\AppData\Local\Programs\Python\Python37\DMWebapp\app\prediction2.csv")
x=dff[dff["Location"]==loc]
x_axis = x['Year']
y_axis= x['total_cases']
smearneww=x["smear"]
rateneww=y_axis.pct_change()
rateneww=round(rateneww.fillna(value=0),4)
rateneww=rateneww.replace(np.inf, 0)
name=dff['Location'].unique()
line_labelsneww=round(x_axis,2)
line_valuesneww=round(y_axis,2)
data_points_1 = zip(line_labelsneww,line_valuesneww,smearneww,rateneww)
return render_template('pages/triple.html', title=district,my_list=data_points_0,my_list_1=data_points_1,my_list_2=data_points_2)
@app.route('/bar', methods=['GET'])
def bar():
df = pd.read_csv(r"C:\Users\Ritika\AppData\Local\Programs\Python\Python37\DMWebapp\app\india_all_sum.csv")
x_axis = df['Year']
y_axis= df['total_cases']
z_axis= df['smear']
data_points = zip(x_axis,y_axis)
data_points_smear = zip(x_axis,z_axis)
#,smear,ratey,ratez
return render_template('pages/bar.html', list=list(data_points),lists=list(data_points_smear))
@app.route('/india_line', methods=['GET'])
def line():
df = pd.read_csv(r"C:\Users\Ritika\AppData\Local\Programs\Python\Python37\DMWebapp\app\india_all_sum.csv")
x_axis = df['Year']
y_axis= df['total_cases']
rate=y_axis.pct_change()
rate=round(rate.fillna(value=0),4)
line_labelsold=round(x_axis,2)
line_valuesold=round(y_axis,2)
smear=round(df["smear"],2)
data_points_0 = zip(line_labelsold,line_valuesold,smear,rate)
return render_template('pages/india_linechart.html',my_list=data_points_0)
@app.route('/stats.html', methods=['GET'])
def stats():
df1 = pd.read_csv(r"C:\Users\Ritika\AppData\Local\Programs\Python\Python37\DMWebapp\app\plot_test_totalcases.csv")
df2 = pd.read_csv(r"C:\Users\Ritika\AppData\Local\Programs\Python\Python37\DMWebapp\app\plot_test_smearpositivecases.csv")
df3 = pd.read_csv(r"C:\Users\Ritika\AppData\Local\Programs\Python\Python37\DMWebapp\app\plot_train_totalcases.csv")
df4 = pd.read_csv(r"C:\Users\Ritika\AppData\Local\Programs\Python\Python37\DMWebapp\app\plot_train_smearpositivecases.csv")
gbr_1=df3['gbr']
gbr_2=df1['gbr']
gbr_3=df4['gbr']
gbr_4=df2['gbr']
#,smear,ratey,ratez
return render_template('pages/stats.html',train_total=gbr_1,test_total=gbr_2,train_smear=gbr_3,test_smear=gbr_4 )
@app.route('/model2.html', methods=['GET'])
def model2():
df1 = pd.read_csv(r"C:\Users\Ritika\AppData\Local\Programs\Python\Python37\DMWebapp\app\plot_test_totalcases.csv")
df2 = pd.read_csv(r"C:\Users\Ritika\AppData\Local\Programs\Python\Python37\DMWebapp\app\plot_test_smearpositivecases.csv")
df3 = pd.read_csv(r"C:\Users\Ritika\AppData\Local\Programs\Python\Python37\DMWebapp\app\plot_train_totalcases.csv")
df4 = pd.read_csv(r"C:\Users\Ritika\AppData\Local\Programs\Python\Python37\DMWebapp\app\plot_train_smearpositivecases.csv")
rfr_1=df3['rfr']
rfr_2=df1['rfr']
rfr_3=df4['rfr']
rfr_4=df2['rfr']
#,smear,ratey,ratez
return render_template('pages/model2.html',train_total=rfr_1,test_total=rfr_2,train_smear=rfr_3,test_smear=rfr_4 )
@app.route('/model3.html', methods=['GET'])
def model3():
df1 = pd.read_csv(r"C:\Users\Ritika\AppData\Local\Programs\Python\Python37\DMWebapp\app\plot_test_totalcases.csv")
df2 = pd.read_csv(r"C:\Users\Ritika\AppData\Local\Programs\Python\Python37\DMWebapp\app\plot_test_smearpositivecases.csv")
df3 = pd.read_csv(r"C:\Users\Ritika\AppData\Local\Programs\Python\Python37\DMWebapp\app\plot_train_totalcases.csv")
df4 = pd.read_csv(r"C:\Users\Ritika\AppData\Local\Programs\Python\Python37\DMWebapp\app\plot_train_smearpositivecases.csv")
dtr_1=df3['dtr']
dtr_2=df1['dtr']
dtr_3=df4['dtr']
dtr_4=df2['dtr']
#,smear,ratey,ratez
return render_template('pages/model3.html',train_total=dtr_1,test_total=dtr_2,train_smear=dtr_3,test_smear=dtr_4 )
@app.route('/model4.html', methods=['GET'])
def model4():
df1 = pd.read_csv(r"C:\Users\Ritika\AppData\Local\Programs\Python\Python37\DMWebapp\app\plot_test_totalcases.csv")
df2 = pd.read_csv(r"C:\Users\Ritika\AppData\Local\Programs\Python\Python37\DMWebapp\app\plot_test_smearpositivecases.csv")
df3 = pd.read_csv(r"C:\Users\Ritika\AppData\Local\Programs\Python\Python37\DMWebapp\app\plot_train_totalcases.csv")
df4 = pd.read_csv(r"C:\Users\Ritika\AppData\Local\Programs\Python\Python37\DMWebapp\app\plot_train_smearpositivecases.csv")
xgbr_1=df3['xgbr']
xgbr_2=df1['xgbr']
xgbr_3=df4['xgbr']
xgbr_4=df2['xgbr']
#,smear,ratey,ratez
return render_template('pages/model4.html',train_total=xgbr_1,test_total=xgbr_2,train_smear=xgbr_3,test_smear=xgbr_4 )
@app.route('/model5.html', methods=['GET'])
def model5():
df1 = pd.read_csv(r"C:\Users\Ritika\AppData\Local\Programs\Python\Python37\DMWebapp\app\plot_test_totalcases.csv")
df2 = pd.read_csv(r"C:\Users\Ritika\AppData\Local\Programs\Python\Python37\DMWebapp\app\plot_test_smearpositivecases.csv")
df3 = pd.read_csv(r"C:\Users\Ritika\AppData\Local\Programs\Python\Python37\DMWebapp\app\plot_train_totalcases.csv")
df4 = pd.read_csv(r"C:\Users\Ritika\AppData\Local\Programs\Python\Python37\DMWebapp\app\plot_train_smearpositivecases.csv")
nn_1=df3['nn']
nn_2=df1['nn']
nn_3=df4['nn']
nn_4=df2['nn']
#,smear,ratey,ratez
return render_template('pages/model5.html',train_total=nn_1,test_total=nn_2,train_smear=nn_3,test_smear=nn_4 )
@app.route('/correlation.html', methods=['POST'])
def corr1():
if request.method =='POST':
if request.args.get('list')!=None:
value=request.args.get('value_change')
col_head=request.args.get('id')
selected_list=request.args.get('list')
print('value',value,'col_head',col_head,'selected_list',selected_list)
df=pd.read_csv(r'C:/Users/Ritika/AppData/Local/Programs/Python/Python37/DMWebapp/app/combinations.csv')
df=df.iloc[:,[0,1,2,3,4,5,6,7]]
if(col_head=='year' or col_head=='quarter'):
value=int(value)
df1=df[df[col_head]==value]
rspmmm=df1['rspm'].unique().tolist()
nooo2=df1['no2'].unique().tolist()
sooo2=df1['so2'].unique().tolist()
rainfallll=df1['rainfall'].unique().tolist()
humidityyy=df1['humidity'].unique().tolist()
temperaturee=df1['temperature'].unique().tolist()
yearrr=df1['year'].unique().tolist()
quarterrr=df1['quarter'].unique().tolist()
yearrr.sort()
quarterrr.sort()
print(rspmmm)
# return render_template('pages/correlation.html',rspmmm=rspmmm,nooo2=nooo2,sooo2=sooo2,rainfallll=rainfallll,humidityyy=humidityyy,temperaturee=temperaturee,yearrr=yearrr,quarterrr=quarterrr,selected_list=selected_list)
final_list={'rspm':rspmmm,'no2':nooo2,'so2':sooo2,'rainfall':rainfallll,'humidity':humidityyy,'temperature':temperaturee,'year':yearrr,'quarter':quarterrr,'selected_list':selected_list}
return jsonify(final_list)
elif request.values.get('rspm')!=None:
print("hello")
rspm = request.values.get('rspm')
no2 = request.values.get('no2')
so2 = request.values.get('so2')
year = request.values.get('year')
rainfall = request.values.get('rainfall')
temperature = request.values.get('temperature')
humidity = request.values.get('humidity')
quarter = request.values.get('quarter')
year=int(year)
quarter=int(quarter)
print(rspm,so2,no2,year,rainfall,temperature,humidity,quarter)
df=pd.read_csv(r'C:\Users\Ritika\AppData\Local\Programs\Python\Python37\DMWebapp\app\correlation.csv')
df.columns=['Location','Year','Quarter','totalcases','smearpositivecases','rainfall','humidity','temperature','so2','no2','rspm']
table=[]
table.append(['rainfall_low','x','750'])
table.append(['rainfall_moderate','751','2350'])
table.append(['rainfall_high','2351','x'])
table.append(['temperature_low','x','20'])
table.append(['temperature_moderate','21','30'])
table.append(['temperature_high','31','x'])
table.append(['humidity_low','x','50'])
table.append(['humidity_high','51','x'])
table.append(['rspm_good','x','50'])
table.append(['rspm_satisfactory','51','100'])
table.append(['rspm_moderate','101','200'])
table.append(['rspm_poor','201','300'])
table.append(['rspm_severe','301','x'])
table.append(['no2_safe','x','25'])
table.append(['no2_potential','26','50'])
table.append(['no2_curtailing','51','100'])
table.append(['no2_hazardous','101','x'])
table.append(['so2_safe','x','25'])
table.append(['so2_potential','26','50'])
table.append(['so2_curtailing','51','100'])
ranges=pd.DataFrame(table,columns=['category','low','high'])
try:
df1=df[df['Year']==year]
df2=df1[df1['Quarter']==quarter]
rspm1=ranges[ranges['category']==rspm].iloc[0,:]
if(str(rspm1['low'])=='x'):
df3=df2[df2['rspm']<=int(rspm1['high'])]
elif(str(rspm1['high'])=='x'):
df3=df2[df2['rspm']>=int(rspm1['low'])]
else:
df3=df2[df2['rspm'].between(int(rspm1['low']),int(rspm1['high']),inclusive=True)]
# In[71]:
so21=ranges[ranges['category']==so2].iloc[0,:]
if(str(so21['low'])=='x'):
df4=df3[df3['so2']<=int(so21['high'])]
elif(str(so21['high'])=='x'):
df4=df3[df3['so2']>=int(so21['low'])]
else:
df4=df3[df3['so2'].between(int(so21['low']),int(so21['high']),inclusive=True)]
# In[72]:
no21=ranges[ranges['category']==no2].iloc[0,:]
if(str(no21['low'])=='x'):
df5=df4[df4['no2']<=int(no21['high'])]
elif(str(no21['high'])=='x'):
df5=df4[df4['no2']>=int(no21['low'])]
else:
df5=df4[df4['no2'].between(int(no21['low']),int(no21['high']),inclusive=True)]
# In[73]:
humidity1=ranges[ranges['category']==humidity].iloc[0,:]
if(str(humidity1['low'])=='x'):
df6=df5[df5['humidity']<=int(humidity1['high'])]
elif(str(humidity1['high'])=='x'):
df6=df5[df5['humidity']>=int(humidity1['low'])]
else:
df6=df5[df5['humidity'].between(int(humidity1['low']),int(humidity1['high']),inclusive=True)]
# In[74]:
rainfall1=ranges[ranges['category']==rainfall].iloc[0,:]
if(str(rainfall1['low'])=='x'):
df7=df6[df6['rainfall']<=int(rainfall1['high'])]
elif(str(rainfall1['high'])=='x'):
df7=df6[df6['rainfall']>=int(rainfall1['low'])]
else:
df7=df6[df6['rainfall'].between(int(rainfall1['low']),int(rainfall1['high']),inclusive=True)]
# In[75]:
temperature1=ranges[ranges['category']==temperature].iloc[0,:]
if(str(temperature1['low'])=='x'):
df8=df7[df7['temperature']<=int(temperature1['high'])]
elif(str(temperature1['high'])=='x'):
df8=df7[df7['temperature']>=int(temperature1['low'])]
else:
df8=df7[df7['temperature'].between(int(temperature1['low']),int(temperature1['high']),inclusive=True)]
df9=df8.iloc[:,[0,3,4]]
l=[x for x in df9["Location"]]
print(l)
if not l:
l=['-1']
return render_template('pages/correlation.html',list1=l,year=year,quarter=quarter,rainfall=rainfall,temperature=temperature,humidity=humidity,rspm=rspm,so2=so2,no2=no2)
except:
return ['-1']
# return Error
return render_template('pages/correlation.html')
# @app.route('/correlation', methods=['POST'])
# def corr2():
# if request.method == 'POST' and
# return render_template('pages/correlation.html')
@app.route('/pie', methods=['GET'])
def pie():
year=request.args.get('year')
quarter=request.args.get('quarter')
rspm=request.args.get('rspm')
so2=request.args.get('so2')
no2=request.args.get('no2')
rainfall=request.args.get('rainfall')
temperature=request.args.get('temperature')
humidity=request.args.get('humidity')
year=int(year)
quarter=int(quarter)
print(rspm,so2,no2,year,rainfall,temperature,humidity,quarter)
df=pd.read_csv(r'C:\Users\Ritika\AppData\Local\Programs\Python\Python37\DMWebapp\app\correlation.csv')
df.columns=['Location','Year','Quarter','totalcases','smearpositivecases','rainfall','humidity','temperature','so2','no2','rspm']
table=[]
table.append(['rainfall_low','x','750'])
table.append(['rainfall_moderate','751','2350'])
table.append(['rainfall_high','2351','x'])
table.append(['temperature_low','x','20'])
table.append(['temperature_moderate','21','30'])
table.append(['temperature_high','31','x'])
table.append(['humidity_low','x','50'])
table.append(['humidity_high','51','x'])
table.append(['rspm_good','x','50'])
table.append(['rspm_satisfactory','51','100'])
table.append(['rspm_moderate','101','200'])
table.append(['rspm_poor','201','300'])
table.append(['rspm_severe','301','x'])
table.append(['no2_safe','x','25'])
table.append(['no2_potential','26','50'])
table.append(['no2_curtailing','51','100'])
table.append(['no2_hazardous','101','x'])
table.append(['so2_safe','x','25'])
table.append(['so2_potential','26','50'])
table.append(['so2_curtailing','51','100'])
ranges=pd.DataFrame(table,columns=['category','low','high'])
df1=df[df['Year']==year]
df2=df1[df1['Quarter']==quarter]
rspm1=ranges[ranges['category']==rspm].iloc[0,:]
if(str(rspm1['low'])=='x'):
df3=df2[df2['rspm']<=int(rspm1['high'])]
elif(str(rspm1['high'])=='x'):
df3=df2[df2['rspm']>=int(rspm1['low'])]
else:
df3=df2[df2['rspm'].between(int(rspm1['low']),int(rspm1['high']),inclusive=True)]
# In[71]:
so21=ranges[ranges['category']==so2].iloc[0,:]
if(str(so21['low'])=='x'):
df4=df3[df3['so2']<=int(so21['high'])]
elif(str(so21['high'])=='x'):
df4=df3[df3['so2']>=int(so21['low'])]
else:
df4=df3[df3['so2'].between(int(so21['low']),int(so21['high']),inclusive=True)]
# In[72]:
no21=ranges[ranges['category']==no2].iloc[0,:]
if(str(no21['low'])=='x'):
df5=df4[df4['no2']<=int(no21['high'])]
elif(str(no21['high'])=='x'):
df5=df4[df4['no2']>=int(no21['low'])]
else:
df5=df4[df4['no2'].between(int(no21['low']),int(no21['high']),inclusive=True)]
# In[73]:
humidity1=ranges[ranges['category']==humidity].iloc[0,:]
if(str(humidity1['low'])=='x'):
df6=df5[df5['humidity']<=int(humidity1['high'])]
elif(str(humidity1['high'])=='x'):
df6=df5[df5['humidity']>=int(humidity1['low'])]
else:
df6=df5[df5['humidity'].between(int(humidity1['low']),int(humidity1['high']),inclusive=True)]
# In[74]:
rainfall1=ranges[ranges['category']==rainfall].iloc[0,:]
if(str(rainfall1['low'])=='x'):
df7=df6[df6['rainfall']<=int(rainfall1['high'])]
elif(str(rainfall1['high'])=='x'):
df7=df6[df6['rainfall']>=int(rainfall1['low'])]
else:
df7=df6[df6['rainfall'].between(int(rainfall1['low']),int(rainfall1['high']),inclusive=True)]
# In[75]:
temperature1=ranges[ranges['category']==temperature].iloc[0,:]
if(str(temperature1['low'])=='x'):
df8=df7[df7['temperature']<=int(temperature1['high'])]
elif(str(temperature1['high'])=='x'):
df8=df7[df7['temperature']>=int(temperature1['low'])]
else:
df8=df7[df7['temperature'].between(int(temperature1['low']),int(temperature1['high']),inclusive=True)]
dfff=df8.iloc[:,[0,3,4]]
dft=[x for x in dfff["totalcases"]]
dfl=[x for x in dfff["Location"]]
dfs=[x for x in dfff["smearpositivecases"]]
df9=list(zip(dft,dfl,dfs))
print(df9)
return render_template('pages/pie.html',df=df9,rspm=rspm,so2=so2,no2=no2,rainfall=rainfall,temperature=temperature,humidity=humidity)
@app.route('/pass_val', methods=['POST'])
def pass_val():
value=request.args.get('value_change')
col_head=request.args.get('id')
selected_list=request.args.get('list')
print('value',value,'col_head',col_head,'selected_list',selected_list)
df=pd.read_csv(r'C:/Users/Ritika/AppData/Local/Programs/Python/Python37/DMWebapp/app/combinations.csv')
df=df.iloc[:,[0,1,2,3,4,5,6,7]]
if(col_head=='year' or col_head=='quarter'):
value=int(value)
df1=df[df[col_head]==value]
rspmmm=df1['rspm'].unique().tolist()
nooo2=df1['no2'].unique().tolist()
sooo2=df1['so2'].unique().tolist()
rainfallll=df1['rainfall'].unique().tolist()
humidityyy=df1['humidity'].unique().tolist()
temperaturee=df1['temperature'].unique().tolist()
yearrr=df1['year'].unique().tolist()
quarterrr=df1['quarter'].unique().tolist()
yearrr.sort()
quarterrr.sort()
return jsonify({'reply':'success'})
| [
"ritikasethiya99.rs@gmail.com"
] | ritikasethiya99.rs@gmail.com |
5bec3ae23b68e6c2e0be46181e3e6e1f669fcd98 | 7518d339026e523ca99e77b7b49edfe71b7da5c5 | /main.py | 8b72a3d7569f8ca47bb5852ececdb44cac03e96b | [] | no_license | SP185221/FileAgent_Client | 475c76ed2ab3a705b8643708f3e24f629661b57b | 188d4d509c2d127afed8736d26b74805284e4b70 | refs/heads/main | 2023-07-25T08:03:22.780456 | 2021-09-02T16:18:01 | 2021-09-02T16:18:01 | 402,486,328 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,751 | py | import socket, tqdm
from tkinter import*
from threading import Thread
from tkinter import filedialog
import requests
import wget, os
from PIL import Image
from time import sleep
from zipfile import ZipFile
#import pm_app_fxn as pm
output1 = ['']*1
list_of_sent_files = []
class main_App(Thread):
def __init__(self):
Thread.__init__(self)
def browse_button(self):
filename = filedialog.askdirectory()
#self.filename1[0]=filename
#print(filename)
temp = self.entry_path.get()
#print(temp)
self.entry_path.delete('0', 'end')
self.entry_path.insert(0,filename)
return filename
def output(self, value):
#value = sample_text.get(1.0, "end-1c")
self.output_data.insert(END, value)
def output_screen(self):
#value = sample_text.get(1.0, "end-1c")
value = output1[0]
self.output(value)
#self.entry_2.insert(1.0, value+'\n')
def connect(self):
filename = self.filename1[0]
to_be_excute = "jpg_to_pdf"
#ch = ConvertHandler( filename, to_be_excute )
#ch.start()
def execute_handler(self):
path = self.entry_path.get()
server_ip = self.server_ip.get()
server_port = self.server_port.get()
interval = self.entry_interval.get()
fh = file_handler(path,server_ip, server_port,interval )
fh.start()
def run(self):
self.filename1 = ['']*1
self.data1 = ['']*1
self.root = Tk()
#self.entry_0 = Text(self.root, height = 10, width = 250)
self.entry_path = Entry(self.root, width=55)
#self.entry_2 = Text(self.root, height = 10, width = 250)
#self.root = Tk()
self.root.geometry('900x500')
self.root.title("File Agent - Send your files to specified server")
# Server IP
Label(self.root, text = "Server IP:").place(x = 100, y = 50)
self.server_ip = Entry(self.root, width=20)
self.server_ip.place(x=170,y=50)
self.server_ip.insert(0, "192.168.1.109")
# Port Number
Label(self.root, text = "Port No: ").place(x = 100, y = 100)
self.server_port = Entry(self.root, width=20)
self.server_port.place(x=170,y=100)
self.server_port.insert(0, "5003")
#Connect Button
Button(self.root, text='Connect',command = self.connect, height = 4, width=64,bg='Green',fg='white').place(x=350,y=50)
# File path selector
#Button(self.root, text='Choose path of folder where file available',command = self.browse_button, width=35,bg='brown',fg='white').place(x=90,y=150)
self.entry_path = Entry(self.root, width=55)
self.entry_path.place(x=350,y=150)
#Default
self.entry_path.insert(0, "Select Folder path")
Label(self.root, text = "Interval: ").place(x=690,y=150)
self.entry_interval = Entry(self.root, width=10 )
#Default value
self.entry_interval.insert(0, " 5")
self.entry_interval.place(x=740,y=150)
Button(self.root, text='Choose path of folder where file available',command = self.browse_button, width=35,bg='brown',fg='white').place(x=90,y=150)
# Action using button
Button(self.root, text='Execute',command = self.execute_handler, height = 3, width=47,bg='blue',fg='white').place(x=90,y=200)
#Button(self.root, text='Merge PDF',command = self.merge_pdf, width=20,bg='green',fg='white').place(x=280,y=290)
#Button(self.root, text='SPLIT PDF',command = self.split_pdf, width=20,bg='green',fg='white').place(x=470,y=290)
Button(self.root, text='EXIT ',command = self.root.quit, height = 3, width=47,bg='red',fg='white').place(x=470,y=200)
# Display Logs
# Action to download
self.output_data = Text(self.root, height = 8, width = 90)
self.output_data.place(x=90,y=280)
self.root.mainloop()
print("\nProgram Exit")
class file_handler(Thread):
def __init__(self, path, server_ip, server_port, interval ):
Thread.__init__(self)
self.path = path
self.server_ip = server_ip
self.server_port = int(server_port)
self.interval = int(interval)
def run(self):
list_of_current_files = os.listdir(self.path)
#print(list_of_current_files)
#print(self.server_ip)
#print(self.server_port)
#print(self.interval)
remaining_files = list(set(list_of_current_files) - set(list_of_sent_files))
for file in remaining_files:
file_path = self.path+'/'+file
#print(file_path)
list_of_sent_files.append(file)
ft = FileTransfer(file_path,self.server_ip, self.server_port )
ft.start()
ft.join()
sleep(10)
#self.run()
class FileTransfer(Thread):
def __init__(self, path, server_ip, server_port):
Thread.__init__(self)
self.host = server_ip
self.port = server_port
self.filename = path
def run(self):
SEPARATOR = "<SEPARATOR>"
BUFFER_SIZE = 4096 # send 4096 bytes each time step
host = self.host
port = int(self.port)
filename = self.filename
fl = filename.split('/')
sp = '\\'
filename = sp.join(fl)
#print(filename,'\n')
#host = "192.168.1.109" # Server address
#port = 5003 # Server port
#filename = "Wall-Paper.jpeg" # File to be send
filesize = os.path.getsize(filename)
s = socket.socket()
print(f"[+] Connecting to {host}:{port}")
s.connect((host, port))
print("[+] Connected.")
# send the filename and filesize
s.send(f"{filename}{SEPARATOR}{filesize}".encode())
# start sending the file
progress = tqdm.tqdm(range(filesize), f"Sending {filename}", unit="B", unit_scale=True, unit_divisor=1024)
output1[0] = f"Sending {filename}"
main_App.output(client,f"Sending {filename}")
with open(filename, "rb") as f:
for _ in progress:
# read the bytes from the file
bytes_read = f.read(BUFFER_SIZE)
if not bytes_read:
# file transmitting is done
break
# we use sendall to assure transimission in
# busy networks
s.sendall(bytes_read)
# update the progress bar
progress.update(len(bytes_read))
s.close()
sleep(3)
#output1[0] = f"Sending {filename}"
main_App.output(client," - completed\n")
client = main_App()
client.start()
| [
"noreply@github.com"
] | SP185221.noreply@github.com |
79115cc0889d1e2a25aaab0b5bb5644d6b83c037 | a4b621ef4230c27ddec5a4c1290f2e0c57e40019 | /AK_RPversion.py | 29bbcef2ed0e84d3c5f66352b6551262107c1064 | [] | no_license | EliReid/4Button-Expert | 54479297f168fe534a9e5866ba267968337c0011 | f5971182a467fc0ff507d7a4ec4904d03803a56e | refs/heads/master | 2020-04-28T12:08:03.942819 | 2019-02-21T22:15:56 | 2019-02-21T22:15:56 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 16,752 | py | ## uses only RP and AK planning units and unit tasks, so far
## perception of the game is hacked, so far
import sys
sys.path.append('/Users/robertwest/CCMSuite')
#sys.path.append('C:/Users/Robert/Documents/Development/SGOMS/CCMSuite')
import ccm
from random import randrange, uniform
log = ccm.log()
# log=ccm.log(html=True)
from ccm.lib.actr import *
class MyEnvironment(ccm.Model):
warning_light = ccm.Model(isa='warning_light', state='off')
response = ccm.Model(isa='response', state='none')
code = ccm.Model(isa='code', state='SU') # model assumes it starts at AK and doen't look until it has to
motor_finst = ccm.Model(isa='motor_finst', state='re_set')
class MotorModule(ccm.Model):
## def maybe_change_light(self):
## irand = randrange(0, 30) # adjust warning light probability here
## if irand < 1:
## print ' light on ++++++++++++++++++++++++++++++++++++++++++++++++++++'
## print irand
## self.parent.parent.warning_light.state='on'
##
## def turn_off_light(self):
## self.parent.parent.warning_light.state='off'
## print 'light off ------------------------------------------------------'
##
# change_state is a generic action that changes the state slot of any object
# disadvantages (1) yield #time is always the same (2) cannot use for parallel actions
def change_state_fast(self, env_object, slot_value):
yield 3
x = eval('self.parent.parent.' + env_object)
x.state = slot_value
print env_object
print slot_value
self.parent.parent.motor_finst.state = 'change_state_fast'
def vision_slow(self):
yield 5
print 'target identified'
self.parent.parent.motor_finst.state = 'vision_slow'
self.parent.b_vision.set('YP')
def motor_finst_reset(self):
self.parent.parent.motor_finst.state = 're_set'
class EmotionalModule(ccm.ProductionSystem):
production_time = 0.043
## def warning_light(b_emotion='threat:ok',warning_light='state:on'):
## print "warning light is on!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!"
## b_emotion.set('threat:high')
class Environment_Manager(ACTR): # this agent triggers the warning light
b_focus = Buffer()
motor = MotorModule()
## def init():
## b_focus.set('set_warning')
## def environment(b_focus='set_warning'):
## motor.maybe_change_light()
class MyAgent(ACTR): # this is the agent that does the task
# module buffers
b_DM = Buffer()
b_motor = Buffer()
b_focus = Buffer()
b_vision = Buffer()
# goal buffers
b_context = Buffer()
b_plan_unit = Buffer()
b_unit_task = Buffer()
b_method = Buffer()
b_operator = Buffer()
b_emotion = Buffer()
DM = Memory(b_DM)
motor = MotorModule(b_motor)
Emotion = EmotionalModule(b_emotion)
def init():
## DM.add('planning_unit:XY cuelag:none cue:start unit_task:X')
## DM.add('planning_unit:XY cuelag:start cue:X unit_task:Y')
## DM.add('planning_unit:XY cuelag:X cue:Y unit_task:finished')
DM.add('planning_unit:AK cuelag:none cue:start unit_task:AK')
DM.add('planning_unit:AK cuelag:start cue:AK unit_task:RP')
DM.add('planning_unit:AK cuelag:AK cue:RP unit_task:finished')
DM.add('planning_unit:RP cuelag:none cue:start unit_task:RP')
DM.add('planning_unit:RP cuelag:start cue:RP unit_task:AK')
DM.add('planning_unit:RP cuelag:RP cue:AK unit_task:finished')
b_context.set('finshed:nothing status:unoccupied warning_light:off')
b_emotion.set('threat:ok')
b_focus.set('none')
b_vision.set('AK') # assume this has happened
########################### begin the planning unit
# these productions are the highest level of SGOMS and fire off the context buffer
# the decision process can be as complex as needed
# the simplest way is to have a production for each planning unit (as in this case)
# the first unit task in the planning unit is directly triggered from here
def run_PU_AK(b_context='finshed:nothing status:unoccupied',
b_vision='AK'):
b_unit_task.set('unit_task:AK state:running typee:ordered')
b_plan_unit.set('planning_unit:AK cuelag:none cue:start unit_task:AK state:running')
b_context.set('finished:nothing status:occupied')
print 'PU_AK ordered planning unit is chosen OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO'
def run_PU_RP(b_context='finshed:AK status:unoccupied'):
b_unit_task.set('unit_task:RP state:running typee:ordered')
b_plan_unit.set('planning_unit:RP cuelag:none cue:start unit_task:RP state:running')
b_context.set('finished:nothing status:occupied')
print 'PU_RP ordered planning unit is chosen OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO'
def end(b_context='finshed:RP status:unoccupied'):
b_context.set('end')
print 'end program'
def false_alarm(b_context='finshed:?finished status:interupted'):
motor.turn_off_light()
b_emotion.set('threat:ok')
b_unit_task.set('unit_task:X state:running typee:ordered')
b_plan_unit.set('planning_unit:XY cuelag:none cue:start unit_task:X state:running')
b_context.set('finished:nothing status:occupied')
print 'ordered planning unit is chosen OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO'
######################### planning unit management loop
# these are generic productions for managing the execution of planning units
######## get next unit task and save a memory of the completed unit task
# the first unit task in a planning unit is triggered when the planning unit is chosen
# these porductions fire within planning units to get the next unit task
# to trigger the next unit task the unit_task state slot value is switched from 'end' to 'begin'
# this is also where the successful completion of the last unit task is saved to memory
## the memory save is often not needed in simple models and is not implemented here
### although, in theory, the memory save always happens so this step should always be included
# ordered planning units
## retrieve next unit task
def request_next_unit_task(b_plan_unit='planning_unit:?planning_unit cuelag:?cuelag cue:?cue unit_task:?unit_task state:running',
b_unit_task='unit_task:?unit_task state:end typee:ordered',
b_emotion='threat:ok'):
DM.request('planning_unit:?planning_unit cue:?unit_task unit_task:? cuelag:?cue')
b_plan_unit.set('planning_unit:?planning_unit cuelag:?cuelag cue:?cue unit_task:?unit_task state:retrieve') # next unit task
print 'finished unit task = ', unit_task
# save completed unit task here
def retrieved_next_unit_task(b_plan_unit='state:retrieve',
b_DM='planning_unit:?planning_unit cuelag:?cuelag cue:?cue unit_task:?unit_task!finished'):
b_plan_unit.set('planning_unit:?planning_unit cuelag:?cuelag cue:?cue unit_task:?unit_task state:running')
b_unit_task.set('unit_task:?unit_task state:running typee:ordered')
print 'next unit_task = ', unit_task
print 'ordered'
# situated planning units
## allow the next unit task to fire
def next_situated_unit_task(b_unit_task='unit_task:?unit_task state:end typee:situated',
b_emotion='threat:ok'):
b_unit_task.modify(state='find_match')
print 'next situated unit task'
print 'situated'
# save unit task here
########### end the planning unit and save a memory of it
# a planning unit can be thought of as a loop
# these are the exit conditions
# in these the planning unit should be saved
# although, to keep the code simple, this is not done here
## finished ordered planning unit
def retrieved_last_unit_task(b_plan_unit='planning_unit:?planning_unit state:retrieve',
b_unit_task='unit_task:?unit_task state:end typee:ordered',
b_DM='planning_unit:?planning_unit cuelag:?cuelag cue:?cue unit_task:finished'):
# not, the memory retrieval indicates the plan is finished
print 'stopped planning unit=',planning_unit
print 'finished'
b_unit_task.modify(state='stopped')
b_context.set('finshed:?planning_unit status:unoccupied')
# save completed planning unit here
def interupted_planning_unit(b_plan_unit='planning_unit:?planning_unit',
b_unit_task='unit_task:?unit_task state:end typee:?typee',
b_emotion='threat:high'):
print 'stopped planning unit='
print 'interupted IIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII'
b_unit_task.modify(state='stopped')
b_context.set('finshed:?planning_unit status:interupted')
# save completed planning unit here
####################################### unit tasks
# AK unit task AK-WM-SU-ZB-FJ
## situated matching productions
def AK_start_unit_task_situated(b_unit_task='state:find_match typee:situated'):
b_unit_task.set('unit_task:AK state:running typee:situated')
print 'start unit task AK'
## body of the unit task
def AK_known_response_AK(b_unit_task='unit_task:AK state:running',
b_focus='none'):
b_focus.set('AK')
b_method.set('method:known_response target:response content:1234 state:start')
print 'AK unit task AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA'
print 'doing AK'
def AK_known_response_WM(b_unit_task='unit_task:AK state:running',
b_focus='AK',
b_method='state:finished'):
b_focus.set('WM')
b_method.set('method:known_response target:response content:1432 state:start')
print 'doing WM'
def AK_known_response_SU(b_unit_task='unit_task:AK state:running',
b_focus='WM',
b_method='state:finished'):
b_focus.set('SU')
b_method.set('method:known_response target:response content:4123 state:start')
print 'doing SU'
def AK_known_response_ZB(b_unit_task='unit_task:AK state:running',
b_focus='SU',
b_method='state:finished'):
b_focus.set('ZB')
b_method.set('method:known_response target:response content:2143 state:start')
print 'doing ZB'
def AK_known_response_FJ(b_unit_task='unit_task:AK state:running',
b_focus='ZB',
b_method='state:finished'):
b_focus.set('FJ')
b_method.set('method:known_response target:response content:3214 state:start')
print 'doing FJ'
def AK_finished(b_unit_task='unit_task:AK state:running',
b_focus='FJ',
b_method='state:finished'):
b_focus.set('none')
b_unit_task.modify(state='end') ## this line ends the unit task
print ' - finished unit task'
# YP-FJ
# RP unit task RP-SU<
# ZB-WM
## situated matching productions
def RP_start_unit_task_situated(b_unit_task='state:find_match typee:situated'):
b_unit_task.set('unit_task:Y state:running typee:situated')
print 'start unit task Y'
## body of the unit task
def RP_known_response_RP(b_unit_task='unit_task:RP state:running',
b_focus='none'):
b_focus.set('RP')
b_method.set('method:known_response target:response content:4321 state:start')
print 'doing RP_UT RRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRR'
print 'doing RP'
def RP_known_response_SU(b_unit_task='unit_task:RP state:running',
b_focus='RP',
b_method='state:finished'):
b_focus.set('SU')
b_method.set('method:known_response target:response content:4123 state:start')
print 'doing SU'
def RP_unknown_code(b_unit_task='unit_task:RP state:running',
b_focus='SU',
b_method='state:finished'):
b_focus.set('unkown_code')
b_method.set('method:get_code target:response content:1432 state:start')
print 'getting code'
def RP_got_code1(b_unit_task='unit_task:RP state:running',
b_focus='unkown_code',
b_method='state:finished',
b_vision='YP'):
b_focus.set('YP')
b_method.set('method:known_response target:response content:1432 state:start')
print 'doing YP'
def RP_known_response_FJ(b_unit_task='unit_task:RP state:running',
b_focus='YP',
b_method='state:finished'):
b_focus.set('FJ')
b_method.set('method:known_response target:response content:3214 state:start')
print 'doing FJ'
def RP_finished1(b_unit_task='unit_task:RP state:running',
b_focus='FJ',
b_method='state:finished'):
b_focus.set('none')
b_unit_task.modify(state='end') ## this line ends the unit task
print ' - finished unit task'
def RP_got_code2(b_unit_task='unit_task:RP state:running',
b_focus='unkown_code',
b_method='state:finished',
b_vision='ZB'):
b_focus.set('ZB')
b_method.set('method:known_response target:response content:1432 state:start')
print 'doing ZB'
def RP_known_response_WM(b_unit_task='unit_task:RP state:running',
b_focus='ZB',
b_method='state:finished'):
b_focus.set('WM')
b_method.set('method:known_response target:response content:2143 state:start')
print 'doing WM'
def RP_finished2(b_unit_task='unit_task:Y state:running',
b_focus='WM',
b_method='state:finished'):
b_focus.set('none')
b_unit_task.modify(state='end') ## this line ends the unit task
b_unit_task.modify(state='stop') ## this line ends the unit task
print ' - finished unit task'
###################################################### methods ###################################################################
##################################################################################################################################
# known response method #########################
# the response is passed down by the production that called this method
def known_response_vision(b_method='method:known_response target:?target content:?content state:start'): # target is the chunk to be altered
motor.change_state_fast(target, content)
b_method.modify(state='running')
print 'entering response'
print 'target object = ', target
def response_entered(b_method='method:?method target:?target state:running',
motor_finst='state:change_state_fast'):
b_method.modify(state='finished')
motor.motor_finst_reset()
print 'I have altered - ', target
# get_code method ################################
# in the case where the next response depends on the code the agent must first read the code
def get_code(b_method='method:get_code target:?target content:?content state:start'): # target is the chunk to be altered
motor.vision_slow()
b_method.modify(state='running')
print 'getting code'
def get_code_finished(motor_finst='state:vision_slow',
b_vision='?code'):
motor.motor_finst_reset()
b_method.modify(state='finished')
print 'I have spotted the target, I have the new code'
print code
############## run model #############
jim = Environment_Manager()
tim = MyAgent() # name the agent
subway = MyEnvironment() # name the environment
subway.agent = tim # put the agent in the environment
subway.agent = jim # put the agent in the environment
ccm.log_everything(subway) # print out what happens in the environment
subway.run() # run the environment
ccm.finished() # stop the environment
| [
"noreply@github.com"
] | EliReid.noreply@github.com |
78bdca14128518d133ddf2e80c557c7d2e26fd7f | 933493356546a769dda5c67f0a89eed9c970afa8 | /ch6/q57.py | e42bbe6997419cc37dcd0703bfc6f51610b9fcca | [] | no_license | irtfrm/NLP100 | 233aa3b76d14dd89fe1d8f6d2e204ca3566bd5f5 | ee0acedf7d2b00fe23f457120313d621fd1f098f | refs/heads/master | 2021-08-06T09:47:38.238306 | 2020-06-05T08:18:08 | 2020-06-05T08:18:08 | 184,555,295 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 925 | py | import xml.etree.ElementTree as ET
def gets_dot(tokens, deps):
ans = 'digraph {\n'
ans += ' token%s [label="%s"];\n' % (0, 'ROOT')
for token in tokens:
ans += ' token%s [shape=box, label="%s"];\n' % (token['id'], token['word'])
for dep in deps:
ans += ' token%s -> token%s;\n' % (dep['governor'], dep['dependent'])
ans += '}\n'
return ans
with open('nlp.txt.xml', 'r') as f:
lines = ''.join(f.readlines())
root = ET.fromstring(lines)
tokens = []
deps = []
for sentence in root.findall('./document/sentences/sentence'):
lst = []
for token in sentence[0]:
lst.append({
'id' : int(token.attrib['id']),
'word' : token[0].text
})
tokens.append(lst)
lst = []
for dep in sentence[2]:
lst.append({
'governor' : int(dep[0].attrib['idx']),
'dependent' : int(dep[1].attrib['idx']),
})
deps.append(lst)
i = 0
print(gets_dot(tokens[i], deps[i])) | [
"furukawa.tomoya@g.mbox.nagoya-u.ac.jp"
] | furukawa.tomoya@g.mbox.nagoya-u.ac.jp |
e9eef0ae487bb90ae983c14902b33bc6d26c7a4f | de24f83a5e3768a2638ebcf13cbe717e75740168 | /moodledata/vpl_data/429/usersdata/313/105928/submittedfiles/jogoDaVelha.py | 6702e638a0b195b5ad2f3fe0c84a675088f19cc5 | [] | no_license | rafaelperazzo/programacao-web | 95643423a35c44613b0f64bed05bd34780fe2436 | 170dd5440afb9ee68a973f3de13a99aa4c735d79 | refs/heads/master | 2021-01-12T14:06:25.773146 | 2017-12-22T16:05:45 | 2017-12-22T16:05:45 | 69,566,344 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,102 | py | print (" BEM-VINDO AO JOGO DA VELHA ")
print("O primeiro jogador será o (X) e o segundo o (O) ")
posicao = """ posicoes do jogo
1 | 2 | 3
-----------
4 | 5 | 6
-----------
7 | 8 | 9
"""
print (posicao)
posicoes = [
(5,7),
(5,5),
(5,3),
(9,7),
(9,5),
(9,3),
(7,7),
(7,5),
(7,3),
]
ganhador = [
[1, 2, 3],
[4, 5, 6],
[7, 8, 9],
[1, 4, 7],
[2, 5, 8],
[3, 6, 9],
[1, 5, 9],
[3, 5, 7],
]
jogo = []
for vertical in posicao.splitlines():
jogo.append(list(vertical))
jogador = "X"
jogando = True
jogadas = 0
while True:
if jogadas == 9:
print (" DEU VELHA!")
break
jogada = int(input(" digite a posicao de 1 à 9 (jogador %s): " % jogador ))
if jogada<1 or jogada>9:
print ("posicao fora das posicoes do jogo")
continue
if jogo[posicoes[jogada][0]][posicoes[jogada][1]] != " ":
print ("Essa posicao já foi ocupada")
continue
| [
"rafael.mota@ufca.edu.br"
] | rafael.mota@ufca.edu.br |
bc95461ad6fdc0ef95c4d671c174b643f840fd99 | 3354e6bdd4aeb2ddec84e6a8036c90cd24b6577a | /(구)자료구조와 알고리즘/(구)Quizes/backjoon/back_1002.py | b90ab7cd42413d530cb002dd703cd4c028e3c9d1 | [] | no_license | hchayan/Data-Structure-and-Algorithms | 1125d7073b099d8c6aae4b14fbdb5e557dcb9412 | be060447e42235e94f93a0b2f94f84d2fd560ffe | refs/heads/master | 2023-01-05T10:15:02.862700 | 2020-11-04T08:16:56 | 2020-11-04T08:16:56 | 209,513,516 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 466 | py | import sys
import math
n = int(sys.stdin.readline().rstrip())
def getAns():
x1, y1, r1, x2, y2, r2 = map(int, sys.stdin.readline().rstrip().split())
leng = math.sqrt((x2-x1)**2+(y2-y1)**2)
if r1 == r2 and x1 == x2 and y1 == y2:
return -1
if r1 > r2:
r1, r2 = r2, r1
if leng > r1+r2:
return 0
elif leng == r1+r2:
return 1
else:
if leng+r1 == r2:
return 1
elif leng+r1 < r2:
return 0
return 2
for nn in range(n):
print(getAns())
| [
"k852012@naver.com"
] | k852012@naver.com |
4b8450ca316cbf700f09c76a6c374e71ef1ce7c9 | 62b78ad6d3ec041ad20e4328d1730d815c9e35f1 | /Twosteps.py | 8c659c092569737b987696cb0d9e96f753e7dd19 | [] | no_license | Jamshid93/ForLoops2 | 7fe5b3240370d88a888f2d4609fb6d7787965a4d | 296de0ccc51872001e45e20926b91a4528abd7a5 | refs/heads/master | 2022-01-26T05:22:18.206075 | 2019-07-20T04:12:37 | 2019-07-20T04:12:37 | 197,874,396 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 105 | py | for item in range(3, 14, 2): # this is code result 3,5,...13. Because after 14 writin 2
print(item) | [
"hamzayevjf@gmail.com"
] | hamzayevjf@gmail.com |
090b3c526b14fc85e5ddfe57bd932deff3860bf7 | 9d4bf5f90cd0a8eb97e7e48a0545f349c3b17b45 | /1-100/Letter_Combinations_of_a_Phone_Number.py | f86071b4c06a57181e25e64c02981526a3a4edc6 | [] | no_license | Ys-Zhou/leetcode-medi-p2 | 8201a6d1ee7e4cb6fe8bc9516530a8b8b3e26e8c | df3495d0bc504237305b11974906f27f8fd124e9 | refs/heads/master | 2021-10-07T09:07:28.974814 | 2018-12-04T09:23:21 | 2018-12-04T09:23:21 | 111,872,195 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 813 | py | # 25 / 25 test cases passed.
# Runtime: 36 ms
class Solution(object):
def letterCombinations(self, digits):
"""
:type digits: str
:rtype: List[str]
"""
if digits == '':
return []
letters = {'2': ['a', 'b', 'c'],
'3': ['d', 'e', 'f'],
'4': ['g', 'h', 'i'],
'5': ['j', 'k', 'l'],
'6': ['m', 'n', 'o'],
'7': ['p', 'q', 'r', 's'],
'8': ['t', 'u', 'v'],
'9': ['w', 'x', 'y', 'z']}
length = len(digits)
def getletter(index):
if index == length:
return ['']
return [x + y for x in letters[digits[index]] for y in getletter(index + 1)]
return getletter(0)
| [
"zhouyan1993ys@gmail.com"
] | zhouyan1993ys@gmail.com |
e36bbc0c4240de429927358094f5d3cd4c54a838 | f7e4ba62191d39b050eab6cbf196c9000751a779 | /examples/function_param.py | b285fc9ff46f8f155c969867b438a10ade9d1976 | [] | no_license | heimo-tiihonen/hello-world | 04bdc59f7806b9c851adf43dfa6312ed219bac79 | b1d513242a0511f1866874cec9b410484b186038 | refs/heads/master | 2021-01-09T06:16:34.729181 | 2017-02-04T19:41:57 | 2017-02-04T19:41:57 | 80,949,066 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 278 | py | def print_max(a, b):
if a > b:
print(a, 'is maximum')
elif a == b:
print(a, 'is equal to', b)
else:
print(b, 'is maximum')
# directly pass literal values
print_max(3, 4)
x = 5
y = 7
z = 'Testi'
# pass variables as arguments
print_max(z, y)
| [
"heimo@dsl-espbrasgw1-50dfb2-69.dhcp.inet.fi"
] | heimo@dsl-espbrasgw1-50dfb2-69.dhcp.inet.fi |
1cdb9ccb8eb20c40eb3ca82b06c082532bc3b005 | db2e1604cdd45df402b93cd72b36e1995f0ded57 | /baidu_baike/baidu_baike/middlewares.py | 69c61f1ce3dc83c9f549186ad6a2fc5baa47e026 | [] | no_license | JimyFengqi/baidubaike | 9bd558bea58d728ef1d256aa9746978b058a138f | 6bf6114494db485107f8869ed79ec70200ed26c2 | refs/heads/master | 2020-04-07T10:46:12.906874 | 2018-04-26T07:52:49 | 2018-04-26T07:52:49 | 124,205,144 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,605 | py | # -*- coding: utf-8 -*-
# Define here the models for your spider middleware
#
# See documentation in:
# https://doc.scrapy.org/en/latest/topics/spider-middleware.html
from scrapy import signals
class BaiduBaikeSpiderMiddleware(object):
# Not all methods need to be defined. If a method is not defined,
# scrapy acts as if the spider middleware does not modify the
# passed objects.
@classmethod
def from_crawler(cls, crawler):
# This method is used by Scrapy to create your spiders.
s = cls()
crawler.signals.connect(s.spider_opened, signal=signals.spider_opened)
return s
def process_spider_input(self, response, spider):
# Called for each response that goes through the spider
# middleware and into the spider.
# Should return None or raise an exception.
return None
def process_spider_output(self, response, result, spider):
# Called with the results returned from the Spider, after
# it has processed the response.
# Must return an iterable of Request, dict or Item objects.
for i in result:
yield i
def process_spider_exception(self, response, exception, spider):
# Called when a spider or process_spider_input() method
# (from other spider middleware) raises an exception.
# Should return either None or an iterable of Response, dict
# or Item objects.
pass
def process_start_requests(self, start_requests, spider):
# Called with the start requests of the spider, and works
# similarly to the process_spider_output() method, except
# that it doesn’t have a response associated.
# Must return only requests (not items).
for r in start_requests:
yield r
def spider_opened(self, spider):
spider.logger.info('Spider opened: %s' % spider.name)
class BaiduBaikeDownloaderMiddleware(object):
# Not all methods need to be defined. If a method is not defined,
# scrapy acts as if the downloader middleware does not modify the
# passed objects.
@classmethod
def from_crawler(cls, crawler):
# This method is used by Scrapy to create your spiders.
s = cls()
crawler.signals.connect(s.spider_opened, signal=signals.spider_opened)
return s
def process_request(self, request, spider):
# Called for each request that goes through the downloader
# middleware.
# Must either:
# - return None: continue processing this request
# - or return a Response object
# - or return a Request object
# - or raise IgnoreRequest: process_exception() methods of
# installed downloader middleware will be called
return None
def process_response(self, request, response, spider):
# Called with the response returned from the downloader.
# Must either;
# - return a Response object
# - return a Request object
# - or raise IgnoreRequest
return response
def process_exception(self, request, exception, spider):
# Called when a download handler or a process_request()
# (from other downloader middleware) raises an exception.
# Must either:
# - return None: continue processing this exception
# - return a Response object: stops process_exception() chain
# - return a Request object: stops process_exception() chain
pass
def spider_opened(self, spider):
spider.logger.info('Spider opened: %s' % spider.name)
| [
"jmps515@163.com"
] | jmps515@163.com |
67f1386cbcd7aa7765debd357ae2e31c5ecdad81 | 8ab2c341b570e26c8a06e7c5e9e95e3e2a108aba | /build/tasks/catkin_generated/pkg.installspace.context.pc.py | 1a3ac85d66d27b61334ac967aed258bf919d3a93 | [] | no_license | Aquavaders/Vader3-Control | c6429d58d208f303d5ed309c488d06f140ab08b5 | 8523e7ddda78b747106586bacfac14e99201741b | refs/heads/master | 2020-07-29T04:01:25.852450 | 2020-02-27T20:04:36 | 2020-02-27T20:04:36 | 209,660,745 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 366 | py | # generated from catkin/cmake/template/pkg.context.pc.in
CATKIN_PACKAGE_PREFIX = ""
PROJECT_PKG_CONFIG_INCLUDE_DIRS = "".split(';') if "" != "" else []
PROJECT_CATKIN_DEPENDS = "".replace(';', ' ')
PKG_CONFIG_LIBRARIES_WITH_PREFIX = "".split(';') if "" != "" else []
PROJECT_NAME = "tasks"
PROJECT_SPACE_DIR = "/home/alaa/rov19_ws/install"
PROJECT_VERSION = "0.0.0"
| [
"AlaaAnani"
] | AlaaAnani |
c243ec1a490acd1d8b165d7a7ddef83cc8088bf6 | 2c09e0fa8b9c84af6686962a8d8569af298573d7 | /client/GUI.py | 8c42ec4ee18b6ba646fd58bec03a55c3b0f80fd8 | [] | no_license | eldraco/Adeept_RaspClaws | 62e3dd4259e909c7eb5b9809e0815cf616277975 | 2d7c56016091678803410131ad328c2cae1b8256 | refs/heads/master | 2022-04-25T21:22:12.775696 | 2020-04-26T19:25:49 | 2020-04-26T19:25:49 | 256,761,979 | 1 | 0 | null | 2020-04-18T13:35:03 | 2020-04-18T13:35:03 | null | UTF-8 | Python | false | false | 25,732 | py | #!/usr/bin/python
# -*- coding: UTF-8 -*-
# File name : client.py
# Description : client
# Website : www.adeept.com
# E-mail : support@adeept.com
# Author : William
# Date : 2018/08/22
from socket import *
import sys
import time
import threading as thread
import tkinter as tk
try:#1
import cv2
import zmq
import base64
import numpy as np
except:
print("Couldn't import OpenCV, you need to install it first.")
ip_stu=1 #Shows connection status
c_f_stu = 0
c_b_stu = 0
c_l_stu = 0
c_r_stu = 0
c_ls_stu= 0
c_rs_stu= 0
funcMode= 0
tcpClicSock = ''
root = ''
stat = 0
Switch_3 = 0
Switch_2 = 0
Switch_1 = 0
SmoothMode = 0
########>>>>>VIDEO<<<<<########
def video_thread():
global footage_socket, font, frame_num, fps
context = zmq.Context()
footage_socket = context.socket(zmq.SUB)
footage_socket.bind('tcp://*:5555')
footage_socket.setsockopt_string(zmq.SUBSCRIBE, np.unicode(''))
font = cv2.FONT_HERSHEY_SIMPLEX
frame_num = 0
fps = 0
def get_FPS():
global frame_num, fps
while 1:
try:
time.sleep(1)
fps = frame_num
frame_num = 0
except:
time.sleep(1)
def opencv_r():
global frame_num
while True:
try:
frame = footage_socket.recv_string()
img = base64.b64decode(frame)
npimg = np.frombuffer(img, dtype=np.uint8)
source = cv2.imdecode(npimg, 1)
cv2.putText(source,('PC FPS: %s'%fps),(40,20), font, 0.5,(255,255,255),1,cv2.LINE_AA)
try:
cv2.putText(source,('CPU Temperature: %s'%CPU_TEP),(370,350), font, 0.5,(128,255,128),1,cv2.LINE_AA)
cv2.putText(source,('CPU Usage: %s'%CPU_USE),(370,380), font, 0.5,(128,255,128),1,cv2.LINE_AA)
cv2.putText(source,('RAM Usage: %s'%RAM_USE),(370,410), font, 0.5,(128,255,128),1,cv2.LINE_AA)
#cv2.line(source,(320,240),(260,300),(255,255,255),1)
#cv2.line(source,(210,300),(260,300),(255,255,255),1)
#cv2.putText(source,('%sm'%ultra_data),(210,290), font, 0.5,(255,255,255),1,cv2.LINE_AA)
except:
pass
#cv2.putText(source,('%sm'%ultra_data),(210,290), font, 0.5,(255,255,255),1,cv2.LINE_AA)
cv2.imshow("Stream", source)
frame_num += 1
cv2.waitKey(1)
except:
time.sleep(0.5)
break
fps_threading=thread.Thread(target=get_FPS) #Define a thread for FPV and OpenCV
fps_threading.setDaemon(True) #'True' means it is a front thread,it would close when the mainloop() closes
fps_threading.start() #Thread starts
video_threading=thread.Thread(target=video_thread) #Define a thread for FPV and OpenCV
video_threading.setDaemon(True) #'True' means it is a front thread,it would close when the mainloop() closes
video_threading.start() #Thread starts
########>>>>>VIDEO<<<<<########
def replace_num(initial,new_num): #Call this function to replace data in '.txt' file
newline=""
str_num=str(new_num)
with open("ip.txt","r") as f:
for line in f.readlines():
if(line.find(initial) == 0):
line = initial+"%s" %(str_num)
newline += line
with open("ip.txt","w") as f:
f.writelines(newline) #Call this function to replace data in '.txt' file
def num_import(initial): #Call this function to import data from '.txt' file
with open("ip.txt") as f:
for line in f.readlines():
if(line.find(initial) == 0):
r=line
begin=len(list(initial))
snum=r[begin:]
n=snum
return n
def call_forward(event): #When this function is called,client commands the car to move forward
global c_f_stu
if c_f_stu == 0:
tcpClicSock.send(('forward').encode())
c_f_stu=1
def call_back(event): #When this function is called,client commands the car to move backward
global c_b_stu
if c_b_stu == 0:
tcpClicSock.send(('backward').encode())
c_b_stu=1
def call_FB_stop(event): #When this function is called,client commands the car to stop moving
global c_f_stu,c_b_stu,c_l_stu,c_r_stu,c_ls_stu,c_rs_stu
c_f_stu=0
c_b_stu=0
tcpClicSock.send(('DS').encode())
def call_Turn_stop(event): #When this function is called,client commands the car to stop moving
global c_f_stu,c_b_stu,c_l_stu,c_r_stu,c_ls_stu,c_rs_stu
c_l_stu=0
c_r_stu=0
c_ls_stu=0
c_rs_stu=0
tcpClicSock.send(('TS').encode())
def call_Left(event): #When this function is called,client commands the car to turn left
global c_l_stu
if c_l_stu == 0:
tcpClicSock.send(('left').encode())
c_l_stu=1
def call_Right(event): #When this function is called,client commands the car to turn right
global c_r_stu
if c_r_stu == 0:
tcpClicSock.send(('right').encode())
c_r_stu=1
def call_LeftSide(event):
global c_ls_stu
if c_ls_stu == 0:
tcpClicSock.send(('leftside').encode())
c_ls_stu=1
def call_RightSide(event):
global c_rs_stu
if c_rs_stu == 0:
tcpClicSock.send(('rightside').encode())
c_rs_stu=1
def call_headup(event):
tcpClicSock.send(('headup').encode())
def call_headdown(event):
tcpClicSock.send(('headdown').encode())
def call_headleft(event):
tcpClicSock.send(('headleft').encode())
def call_headright(event):
tcpClicSock.send(('headright').encode())
def call_headhome(event):
tcpClicSock.send(('headhome').encode())
def call_steady(event):
if funcMode == 0:
tcpClicSock.send(('steady').encode())
else:
tcpClicSock.send(('funEnd').encode())
def call_FindColor(event):
if funcMode == 0:
tcpClicSock.send(('FindColor').encode())
else:
tcpClicSock.send(('funEnd').encode())
def call_WatchDog(event):
if funcMode == 0:
tcpClicSock.send(('WatchDog').encode())
else:
tcpClicSock.send(('funEnd').encode())
def call_Smooth(event):
if SmoothMode == 0:
tcpClicSock.send(('Smooth_on').encode())
else:
tcpClicSock.send(('Smooth_off').encode())
def call_Switch_1(event):
if Switch_1 == 0:
tcpClicSock.send(('Switch_1_on').encode())
else:
tcpClicSock.send(('Switch_1_off').encode())
def call_Switch_2(event):
if Switch_2 == 0:
tcpClicSock.send(('Switch_2_on').encode())
else:
tcpClicSock.send(('Switch_2_off').encode())
def call_Switch_3(event):
if Switch_3 == 0:
tcpClicSock.send(('Switch_3_on').encode())
else:
tcpClicSock.send(('Switch_3_off').encode())
def all_btn_red():
Btn_Steady.config(bg='#FF6D00', fg='#000000')
Btn_FindColor.config(bg='#FF6D00', fg='#000000')
Btn_WatchDog.config(bg='#FF6D00', fg='#000000')
Btn_Fun4.config(bg='#FF6D00', fg='#000000')
Btn_Fun5.config(bg='#FF6D00', fg='#000000')
Btn_Fun6.config(bg='#FF6D00', fg='#000000')
def all_btn_normal():
Btn_Steady.config(bg=color_btn, fg=color_text)
Btn_FindColor.config(bg=color_btn, fg=color_text)
Btn_WatchDog.config(bg=color_btn, fg=color_text)
Btn_Fun4.config(bg=color_btn, fg=color_text)
Btn_Fun5.config(bg=color_btn, fg=color_text)
Btn_Fun6.config(bg=color_btn, fg=color_text)
def connection_thread():
global funcMode, Switch_3, Switch_2, Switch_1, SmoothMode
while 1:
car_info = (tcpClicSock.recv(BUFSIZ)).decode()
if not car_info:
continue
elif 'FindColor' in car_info:
funcMode = 1
all_btn_red()
Btn_FindColor.config(bg='#00E676')
elif 'steady' in car_info:
funcMode = 1
all_btn_red()
Btn_Steady.config(bg='#00E676')
elif 'WatchDog' in car_info:
funcMode = 1
all_btn_red()
Btn_WatchDog.config(bg='#00E676')
elif 'Smooth_on' in car_info:
SmoothMode = 1
Btn_Smooth.config(bg='#4CAF50')
elif 'Smooth_off' in car_info:
SmoothMode = 0
Btn_Smooth.config(bg=color_btn)
elif 'Switch_3_on' in car_info:
Switch_3 = 1
Btn_Switch_3.config(bg='#4CAF50')
elif 'Switch_2_on' in car_info:
Switch_2 = 1
Btn_Switch_2.config(bg='#4CAF50')
elif 'Switch_1_on' in car_info:
Switch_1 = 1
Btn_Switch_1.config(bg='#4CAF50')
elif 'Switch_3_off' in car_info:
Switch_3 = 0
Btn_Switch_3.config(bg=color_btn)
elif 'Switch_2_off' in car_info:
Switch_2 = 0
Btn_Switch_2.config(bg=color_btn)
elif 'Switch_1_off' in car_info:
Switch_1 = 0
Btn_Switch_1.config(bg=color_btn)
elif 'CVFL_on' in car_info:
function_stu = 1
Btn_CVFL.config(bg='#4CAF50')
elif 'CVFL_off' in car_info:
function_stu = 0
Btn_CVFL.config(bg='#212121')
elif 'FunEnd' in car_info:
funcMode = 0
all_btn_normal()
print(car_info)
def Info_receive():
global CPU_TEP,CPU_USE,RAM_USE
HOST = ''
INFO_PORT = 2256 #Define port serial
ADDR = (HOST, INFO_PORT)
InfoSock = socket(AF_INET, SOCK_STREAM)
InfoSock.setsockopt(SOL_SOCKET,SO_REUSEADDR,1)
InfoSock.bind(ADDR)
InfoSock.listen(5) #Start server,waiting for client
InfoSock, addr = InfoSock.accept()
print('Info connected')
while 1:
try:
info_data = ''
info_data = str(InfoSock.recv(BUFSIZ).decode())
info_get = info_data.split()
CPU_TEP,CPU_USE,RAM_USE= info_get
#print('cpu_tem:%s\ncpu_use:%s\nram_use:%s'%(CPU_TEP,CPU_USE,RAM_USE))
CPU_TEP_lab.config(text='CPU Temp: %s℃'%CPU_TEP)
CPU_USE_lab.config(text='CPU Usage: %s'%CPU_USE)
RAM_lab.config(text='RAM Usage: %s'%RAM_USE)
except:
pass
def socket_connect(): #Call this function to connect with the server
global ADDR,tcpClicSock,BUFSIZ,ip_stu,ipaddr
ip_adr=E1.get() #Get the IP address from Entry
if ip_adr == '': #If no input IP address in Entry,import a default IP
ip_adr=num_import('IP:')
l_ip_4.config(text='Connecting')
l_ip_4.config(bg='#FF8F00')
l_ip_5.config(text='Default:%s'%ip_adr)
pass
SERVER_IP = ip_adr
SERVER_PORT = 10223 #Define port serial
BUFSIZ = 1024 #Define buffer size
ADDR = (SERVER_IP, SERVER_PORT)
tcpClicSock = socket(AF_INET, SOCK_STREAM) #Set connection value for socket
for i in range (1,6): #Try 5 times if disconnected
#try:
if ip_stu == 1:
print("Connecting to server @ %s:%d..." %(SERVER_IP, SERVER_PORT))
print("Connecting")
tcpClicSock.connect(ADDR) #Connection with the server
print("Connected")
l_ip_5.config(text='IP:%s'%ip_adr)
l_ip_4.config(text='Connected')
l_ip_4.config(bg='#558B2F')
replace_num('IP:',ip_adr)
E1.config(state='disabled') #Disable the Entry
Btn14.config(state='disabled') #Disable the Entry
ip_stu=0 #'0' means connected
connection_threading=thread.Thread(target=connection_thread) #Define a thread for FPV and OpenCV
connection_threading.setDaemon(True) #'True' means it is a front thread,it would close when the mainloop() closes
connection_threading.start() #Thread starts
info_threading=thread.Thread(target=Info_receive) #Define a thread for FPV and OpenCV
info_threading.setDaemon(True) #'True' means it is a front thread,it would close when the mainloop() closes
info_threading.start() #Thread starts
video_threading=thread.Thread(target=opencv_r) #Define a thread for FPV and OpenCV
video_threading.setDaemon(True) #'True' means it is a front thread,it would close when the mainloop() closes
video_threading.start() #Thread starts
break
else:
print("Cannot connecting to server,try it latter!")
l_ip_4.config(text='Try %d/5 time(s)'%i)
l_ip_4.config(bg='#EF6C00')
print('Try %d/5 time(s)'%i)
ip_stu=1
time.sleep(1)
continue
if ip_stu == 1:
l_ip_4.config(text='Disconnected')
l_ip_4.config(bg='#F44336')
def connect(event): #Call this function to connect with the server
if ip_stu == 1:
sc=thread.Thread(target=socket_connect) #Define a thread for connection
sc.setDaemon(True) #'True' means it is a front thread,it would close when the mainloop() closes
sc.start() #Thread starts
def connect_click(): #Call this function to connect with the server
if ip_stu == 1:
sc=thread.Thread(target=socket_connect) #Define a thread for connection
sc.setDaemon(True) #'True' means it is a front thread,it would close when the mainloop() closes
sc.start() #Thread starts
def set_R(event):
time.sleep(0.03)
tcpClicSock.send(('wsR %s'%var_R.get()).encode())
def set_G(event):
time.sleep(0.03)
tcpClicSock.send(('wsG %s'%var_G.get()).encode())
def set_B(event):
time.sleep(0.03)
tcpClicSock.send(('wsB %s'%var_B.get()).encode())
def EC_send(event):#z
tcpClicSock.send(('setEC %s'%var_ec.get()).encode())
time.sleep(0.03)
def EC_default(event):#z
var_ec.set(0)
tcpClicSock.send(('defEC').encode())
def scale_FL(x,y,w):#1
global Btn_CVFL
def lip1_send(event):
time.sleep(0.03)
tcpClicSock.send(('lip1 %s'%var_lip1.get()).encode())
def lip2_send(event):
time.sleep(0.03)
tcpClicSock.send(('lip2 %s'%var_lip2.get()).encode())
def err_send(event):
time.sleep(0.03)
tcpClicSock.send(('err %s'%var_err.get()).encode())
def call_Render(event):
tcpClicSock.send(('Render').encode())
def call_CVFL(event):
tcpClicSock.send(('CVFL').encode())
def call_WB(event):
tcpClicSock.send(('WBswitch').encode())
Scale_lip1 = tk.Scale(root,label=None,
from_=0,to=480,orient=tk.HORIZONTAL,length=w,
showvalue=1,tickinterval=None,resolution=1,variable=var_lip1,troughcolor='#212121',command=lip1_send,fg=color_text,bg=color_bg,highlightthickness=0)
Scale_lip1.place(x=x,y=y) #Define a Scale and put it in position
Scale_lip2 = tk.Scale(root,label=None,
from_=0,to=480,orient=tk.HORIZONTAL,length=w,
showvalue=1,tickinterval=None,resolution=1,variable=var_lip2,troughcolor='#212121',command=lip2_send,fg=color_text,bg=color_bg,highlightthickness=0)
Scale_lip2.place(x=x,y=y+30) #Define a Scale and put it in position
Scale_err = tk.Scale(root,label=None,
from_=0,to=200,orient=tk.HORIZONTAL,length=w,
showvalue=1,tickinterval=None,resolution=1,variable=var_err,troughcolor='#212121',command=err_send,fg=color_text,bg=color_bg,highlightthickness=0)
Scale_err.place(x=x,y=y+60) #Define a Scale and put it in position
canvas_cover=tk.Canvas(root,bg=color_bg,height=30,width=510,highlightthickness=0)
canvas_cover.place(x=x,y=y+90)
Btn_Render = tk.Button(root, width=10, text='Render',fg=color_text,bg='#212121',relief='ridge')
Btn_Render.place(x=x+w+111,y=y+20)
Btn_Render.bind('<ButtonPress-1>', call_Render)
Btn_CVFL = tk.Button(root, width=10, text='CV FL',fg=color_text,bg='#212121',relief='ridge')
Btn_CVFL.place(x=x+w+21,y=y+20)
Btn_CVFL.bind('<ButtonPress-1>', call_CVFL)
Btn_WB = tk.Button(root, width=23, text='LineColorSwitch',fg=color_text,bg='#212121',relief='ridge')
Btn_WB.place(x=x+w+21,y=y+60)
Btn_WB.bind('<ButtonPress-1>', call_WB)
def loop(): #GUI
global tcpClicSock,root,E1,connect,l_ip_4,l_ip_5,color_btn,color_text,Btn14,CPU_TEP_lab,CPU_USE_lab,RAM_lab,canvas_ultra,color_text,var_lip1,var_lip2,var_err,var_R,var_B,var_G,var_ec,Btn_Steady,Btn_FindColor,Btn_WatchDog,Btn_Fun4,Btn_Fun5,Btn_Fun6,Btn_Switch_1,Btn_Switch_2,Btn_Switch_3,Btn_Smooth,color_bg #1 The value of tcpClicSock changes in the function loop(),would also changes in global so the other functions could use it.
while True:
color_bg='#000000' #Set background color
color_text='#E1F5FE' #Set text color
color_btn='#0277BD' #Set button color
color_line='#01579B' #Set line color
color_can='#212121' #Set canvas color
color_oval='#2196F3' #Set oval color
target_color='#FF6D00'
root = tk.Tk() #Define a window named root
root.title('Adeept RaspClaws') #Main window title
root.geometry('565x680') #1 Main window size, middle of the English letter x.
root.config(bg=color_bg) #Set the background color of root window
try:
logo =tk.PhotoImage(file = 'logo.png') #Define the picture of logo,but only supports '.png' and '.gif'
l_logo=tk.Label(root,image = logo,bg=color_bg) #Set a label to show the logo picture
l_logo.place(x=30,y=13) #Place the Label in a right position
except:
pass
CPU_TEP_lab=tk.Label(root,width=18,text='CPU Temp:',fg=color_text,bg='#212121')
CPU_TEP_lab.place(x=400,y=15) #Define a Label and put it in position
CPU_USE_lab=tk.Label(root,width=18,text='CPU Usage:',fg=color_text,bg='#212121')
CPU_USE_lab.place(x=400,y=45) #Define a Label and put it in position
RAM_lab=tk.Label(root,width=18,text='RAM Usage:',fg=color_text,bg='#212121')
RAM_lab.place(x=400,y=75) #Define a Label and put it in position
l_ip=tk.Label(root,width=18,text='Status',fg=color_text,bg=color_btn)
l_ip.place(x=30,y=110) #Define a Label and put it in position
l_ip_4=tk.Label(root,width=18,text='Disconnected',fg=color_text,bg='#F44336')
l_ip_4.place(x=400,y=110) #Define a Label and put it in position
l_ip_5=tk.Label(root,width=18,text='Use default IP',fg=color_text,bg=color_btn)
l_ip_5.place(x=400,y=145) #Define a Label and put it in position
E1 = tk.Entry(root,show=None,width=16,bg="#37474F",fg='#eceff1')
E1.place(x=180,y=40) #Define a Entry and put it in position
l_ip_3=tk.Label(root,width=10,text='IP Address:',fg=color_text,bg='#000000')
l_ip_3.place(x=175,y=15) #Define a Label and put it in position
label_openCV=tk.Label(root,width=28,text='OpenCV Status',fg=color_text,bg=color_btn)
label_openCV.place(x=180,y=110) #Define a Label and put it in position
################################
#canvas_rec=canvas_ultra.create_rectangle(0,0,340,30,fill = '#FFFFFF',width=0)
#canvas_text=canvas_ultra.create_text((90,11),text='Ultrasonic Output: 0.75m',fill=color_text)
################################
Btn_Smooth = tk.Button(root, width=8, text='Smooth',fg=color_text,bg=color_btn,relief='ridge')
Btn_Smooth.place(x=240,y=230)
Btn_Smooth.bind('<ButtonPress-1>', call_Smooth)
root.bind('<KeyPress-f>', call_Smooth)
Btn_Switch_1 = tk.Button(root, width=8, text='Port 1',fg=color_text,bg=color_btn,relief='ridge')
Btn_Switch_2 = tk.Button(root, width=8, text='Port 2',fg=color_text,bg=color_btn,relief='ridge')
Btn_Switch_3 = tk.Button(root, width=8, text='Port 3',fg=color_text,bg=color_btn,relief='ridge')
Btn_Switch_1.place(x=30,y=265)
Btn_Switch_2.place(x=100,y=265)
Btn_Switch_3.place(x=170,y=265)
Btn_Switch_1.bind('<ButtonPress-1>', call_Switch_1)
Btn_Switch_2.bind('<ButtonPress-1>', call_Switch_2)
Btn_Switch_3.bind('<ButtonPress-1>', call_Switch_3)
Btn0 = tk.Button(root, width=8, text='Forward',fg=color_text,bg=color_btn,relief='ridge')
Btn1 = tk.Button(root, width=8, text='Backward',fg=color_text,bg=color_btn,relief='ridge')
Btn2 = tk.Button(root, width=8, text='Left',fg=color_text,bg=color_btn,relief='ridge')
Btn3 = tk.Button(root, width=8, text='Right',fg=color_text,bg=color_btn,relief='ridge')
Btn_LeftSide = tk.Button(root, width=8, text='<--',fg=color_text,bg=color_btn,relief='ridge')
Btn_LeftSide.place(x=30,y=195)
Btn_LeftSide.bind('<ButtonPress-1>', call_LeftSide)
Btn_LeftSide.bind('<ButtonRelease-1>', call_Turn_stop)
Btn_RightSide = tk.Button(root, width=8, text='-->',fg=color_text,bg=color_btn,relief='ridge')
Btn_RightSide.place(x=170,y=195)
Btn_RightSide.bind('<ButtonPress-1>', call_RightSide)
Btn_RightSide.bind('<ButtonRelease-1>', call_Turn_stop)
Btn0.place(x=100,y=195)
Btn1.place(x=100,y=230)
Btn2.place(x=30,y=230)
Btn3.place(x=170,y=230)
Btn0.bind('<ButtonPress-1>', call_forward)
Btn1.bind('<ButtonPress-1>', call_back)
Btn2.bind('<ButtonPress-1>', call_Left)
Btn3.bind('<ButtonPress-1>', call_Right)
Btn0.bind('<ButtonRelease-1>', call_FB_stop)
Btn1.bind('<ButtonRelease-1>', call_FB_stop)
Btn2.bind('<ButtonRelease-1>', call_Turn_stop)
Btn3.bind('<ButtonRelease-1>', call_Turn_stop)
root.bind('<KeyPress-w>', call_forward)
root.bind('<KeyPress-a>', call_Left)
root.bind('<KeyPress-d>', call_Right)
root.bind('<KeyPress-s>', call_back)
root.bind('<KeyPress-q>', call_LeftSide)
root.bind('<KeyPress-e>', call_RightSide)
root.bind('<KeyRelease-q>', call_Turn_stop)
root.bind('<KeyRelease-e>', call_Turn_stop)
root.bind('<KeyRelease-w>', call_FB_stop)
root.bind('<KeyRelease-a>', call_Turn_stop)
root.bind('<KeyRelease-d>', call_Turn_stop)
root.bind('<KeyRelease-s>', call_FB_stop)
Btn_up = tk.Button(root, width=8, text='Up',fg=color_text,bg=color_btn,relief='ridge')
Btn_down = tk.Button(root, width=8, text='Down',fg=color_text,bg=color_btn,relief='ridge')
Btn_left = tk.Button(root, width=8, text='Left',fg=color_text,bg=color_btn,relief='ridge')
Btn_right = tk.Button(root, width=8, text='Right',fg=color_text,bg=color_btn,relief='ridge')
Btn_home = tk.Button(root, width=8, text='Home',fg=color_text,bg=color_btn,relief='ridge')
Btn_up.place(x=400,y=195)
Btn_down.place(x=400,y=265)
Btn_left.place(x=330,y=230)
Btn_right.place(x=470,y=230)
Btn_home.place(x=400,y=230)
root.bind('<KeyPress-i>', call_headup)
root.bind('<KeyPress-k>', call_headdown)
root.bind('<KeyPress-j>', call_headleft)
root.bind('<KeyPress-l>', call_headright)
root.bind('<KeyPress-h>', call_headhome)
Btn_up.bind('<ButtonPress-1>', call_headup)
Btn_down.bind('<ButtonPress-1>', call_headdown)
Btn_left.bind('<ButtonPress-1>', call_headleft)
Btn_right.bind('<ButtonPress-1>', call_headright)
Btn_home.bind('<ButtonPress-1>', call_headhome)
Btn14= tk.Button(root, width=8,height=2, text='Connect',fg=color_text,bg=color_btn,command=connect_click,relief='ridge')
Btn14.place(x=315,y=15) #Define a Button and put it in position
root.bind('<Return>', connect)
var_lip1 = tk.StringVar()#1
var_lip1.set(440)
var_lip2 = tk.StringVar()
var_lip2.set(380)
var_err = tk.StringVar()
var_err.set(20)
var_R = tk.StringVar()
var_R.set(0)
Scale_R = tk.Scale(root,label=None,
from_=0,to=255,orient=tk.HORIZONTAL,length=505,
showvalue=1,tickinterval=None,resolution=1,variable=var_R,troughcolor='#F44336',command=set_R,fg=color_text,bg=color_bg,highlightthickness=0)
Scale_R.place(x=30,y=330) #Define a Scale and put it in position
var_G = tk.StringVar()
var_G.set(0)
Scale_G = tk.Scale(root,label=None,
from_=0,to=255,orient=tk.HORIZONTAL,length=505,
showvalue=1,tickinterval=None,resolution=1,variable=var_G,troughcolor='#00E676',command=set_G,fg=color_text,bg=color_bg,highlightthickness=0)
Scale_G.place(x=30,y=360) #Define a Scale and put it in position
var_B = tk.StringVar()
var_B.set(0)
Scale_B = tk.Scale(root,label=None,
from_=0,to=255,orient=tk.HORIZONTAL,length=505,
showvalue=1,tickinterval=None,resolution=1,variable=var_B,troughcolor='#448AFF',command=set_B,fg=color_text,bg=color_bg,highlightthickness=0)
Scale_B.place(x=30,y=390) #Define a Scale and put it in position
var_ec = tk.StringVar() #Z start
var_ec.set(0)
Scale_ExpCom = tk.Scale(root,label='Exposure Compensation Level',
from_=-25,to=25,orient=tk.HORIZONTAL,length=315,
showvalue=1,tickinterval=None,resolution=1,variable=var_ec,troughcolor='#212121',command=EC_send,fg=color_text,bg=color_bg,highlightthickness=0)
Scale_ExpCom.place(x=30,y=610) #Define a Scale and put it in position
canvas_cover_exp=tk.Canvas(root,bg=color_bg,height=30,width=510,highlightthickness=0)
canvas_cover_exp.place(x=30,y=610+50)
Btn_dEC = tk.Button(root, width=23,height=2, text='Set Default Exposure\nCompensation Level',fg=color_text,bg='#212121',relief='ridge')
Btn_dEC.place(x=30+315+21,y=610+3)
Btn_dEC.bind('<ButtonPress-1>', EC_default) #Z end
canvas_cover=tk.Canvas(root,bg=color_bg,height=30,width=510,highlightthickness=0)
canvas_cover.place(x=30,y=420)
Btn_Steady = tk.Button(root, width=10, text='Steady',fg=color_text,bg=color_btn,relief='ridge')
Btn_Steady.place(x=30,y=445)
root.bind('<KeyPress-z>', call_steady)
Btn_Steady.bind('<ButtonPress-1>', call_steady)
Btn_FindColor = tk.Button(root, width=10, text='FindColor',fg=color_text,bg=color_btn,relief='ridge')
Btn_FindColor.place(x=115,y=445)
root.bind('<KeyPress-z>', call_FindColor)
Btn_FindColor.bind('<ButtonPress-1>', call_FindColor)
Btn_WatchDog = tk.Button(root, width=10, text='WatchDog',fg=color_text,bg=color_btn,relief='ridge')
Btn_WatchDog.place(x=200,y=445)
root.bind('<KeyPress-z>', call_WatchDog)
Btn_WatchDog.bind('<ButtonPress-1>', call_WatchDog)
Btn_Fun4 = tk.Button(root, width=10, text='Function 4',fg=color_text,bg=color_btn,relief='ridge')
Btn_Fun4.place(x=285,y=445)
root.bind('<KeyPress-z>', call_WatchDog)
Btn_Fun4.bind('<ButtonPress-1>', call_WatchDog)
Btn_Fun5 = tk.Button(root, width=10, text='Function 5',fg=color_text,bg=color_btn,relief='ridge')
Btn_Fun5.place(x=370,y=445)
root.bind('<KeyPress-z>', call_WatchDog)
Btn_Fun5.bind('<ButtonPress-1>', call_WatchDog)
Btn_Fun6 = tk.Button(root, width=10, text='Function 6',fg=color_text,bg=color_btn,relief='ridge')
Btn_Fun6.place(x=455,y=445)
root.bind('<KeyPress-z>', call_WatchDog)
Btn_Fun6.bind('<ButtonPress-1>', call_WatchDog)
scale_FL(30,490,315)#1
global stat
if stat==0: # Ensure the mainloop runs only once
root.mainloop() # Run the mainloop()
stat=1 # Change the value to '1' so the mainloop() would not run again.
if __name__ == '__main__':
try:
loop() # Load GUI
except:
tcpClicSock.close() # Close socket or it may not connect with the server again
footage_socket.close()
cv2.destroyAllWindows()
pass | [
"noreply@github.com"
] | eldraco.noreply@github.com |
b91cd725562befb469c66d4ce9802baecaa2cf54 | e999577db526bdc87ab83d30d393e06f921c2326 | /multiagent/multiAgents.py | 2dab318ae711f77bae0c426c49a25673c4ad1a2c | [] | no_license | anant-k-singh/Pacman-AI | e4a630de420ad942fef8b0c5ab0d6799859c0737 | 503730f7baa5fac690cedcd6f65cc592bb7758c3 | refs/heads/master | 2022-01-22T18:23:32.347366 | 2019-07-31T17:24:26 | 2019-07-31T17:24:26 | 115,016,037 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 14,272 | py | # multiAgents.py
# --------------
# Licensing Information: You are free to use or extend these projects for
# educational purposes provided that (1) you do not distribute or publish
# solutions, (2) you retain this notice, and (3) you provide clear
# attribution to UC Berkeley, including a link to http://ai.berkeley.edu.
#
# Attribution Information: The Pacman AI projects were developed at UC Berkeley.
# The core projects and autograders were primarily created by John DeNero
# (denero@cs.berkeley.edu) and Dan Klein (klein@cs.berkeley.edu).
# Student side autograding was added by Brad Miller, Nick Hay, and
# Pieter Abbeel (pabbeel@cs.berkeley.edu).
from util import manhattanDistance
from game import Directions
import random, util, sys
from game import Agent
class ReflexAgent(Agent):
"""
A reflex agent chooses an action at each choice point by examining
its alternatives via a state evaluation function.
The code below is provided as a guide. You are welcome to change
it in any way you see fit, so long as you don't touch our method
headers.
"""
def getAction(self, gameState):
"""
You do not need to change this method, but you're welcome to.
getAction chooses among the best options according to the evaluation function.
Just like in the previous project, getAction takes a GameState and returns
some Directions.X for some X in the set {North, South, West, East, Stop}
"""
# Collect legal moves and successor states
legalMoves = gameState.getLegalActions()
legalMoves.remove('Stop')
# Choose one of the best actions
scores = [self.evaluationFunction(gameState, action) for action in legalMoves]
bestScore = max(scores)
# bestIndices = [index for index in range(len(scores)) if scores[index] == bestScore]
# chosenIndex = random.choice(bestIndices) # Pick randomly among the best
"Add more of your code here if you want to"
for i in range(0,len(scores)):
if(scores[i] == bestScore):
return legalMoves[i]
def evaluationFunction(self, currentGameState, action):
"""
Design a better evaluation function here.
The evaluation function takes in the current and proposed successor
GameStates (pacman.py) and returns a number, where higher numbers are better.
The code below extracts some useful information from the state, like the
remaining food (newFood) and Pacman position after moving (newPos).
newScaredTimes holds the number of moves that each ghost will remain
scared because of Pacman having eaten a power pellet.
Print out these variables to see what you're getting, then combine them
to create a masterful evaluation function.
"""
# Useful information you can extract from a GameState (pacman.py)
successorGameState = currentGameState.generatePacmanSuccessor(action)
newPos = successorGameState.getPacmanPosition()
newFood = successorGameState.getFood()
newGhostStates = successorGameState.getGhostStates()
newScaredTimes = [ghostState.scaredTimer for ghostState in newGhostStates]
"*** YOUR CODE HERE ***"
# for ghostState in newGhostStates:
# print manhattanDistance(newPos, ghostState.getPosition())
# return successorGameState.getScore()
foodlist = currentGameState.getFood().asList()
distanceToClosestFood = min(map(lambda x: util.manhattanDistance(newPos, x), foodlist))
distanceToClosestGhost = manhattanDistance(newPos, newGhostStates[0].getPosition())
if distanceToClosestGhost == 0:
return -50
# print int(-8/distanceToClosestGhost)
return -(8/distanceToClosestGhost)-distanceToClosestFood
def scoreEvaluationFunction(currentGameState):
"""
This default evaluation function just returns the score of the state.
The score is the same one displayed in the Pacman GUI.
This evaluation function is meant for use with adversarial search agents
(not reflex agents).
"""
return currentGameState.getScore()
class MultiAgentSearchAgent(Agent):
"""
This class provides some common elements to all of your
multi-agent searchers. Any methods defined here will be available
to the MinimaxPacmanAgent, AlphaBetaPacmanAgent & ExpectimaxPacmanAgent.
You *do not* need to make any changes here, but you can if you want to
add functionality to all your adversarial search agents. Please do not
remove anything, however.
Note: this is an abstract class: one that should not be instantiated. It's
only partially specified, and designed to be extended. Agent (game.py)
is another abstract class.
"""
def __init__(self, evalFn = 'scoreEvaluationFunction', depth = '2'):
self.index = 0 # Pacman is always agent index 0
self.evaluationFunction = util.lookup(evalFn, globals())
self.depth = int(depth)
class MinimaxAgent(MultiAgentSearchAgent):
"""
Your minimax agent (question 2)
"""
def getAction(self, gamestate):
"""
Returns the minimax action from the current gameState using self.depth
and self.evaluationFunction.
Here are some method calls that might be useful when implementing minimax.
gameState.getLegalActions(agentIndex):
Returns a list of legal actions for an agent
agentIndex=0 means Pacman, ghosts are >= 1
gameState.generateSuccessor(agentIndex, action):
Returns the successor game state after an agent takes an action
gameState.getNumAgents():
Returns the total number of agents in the game
"""
"*** YOUR CODE HERE ***"
def pacman(gameState, curDepth):
if gameState.isWin() or gameState.isLose():
return self.evaluationFunction(gameState)
legalMoves = gameState.getLegalActions(0)
score = []
for move in legalMoves:
nextState = gameState.generateSuccessor(0, move)
if nextState.isWin():
return self.evaluationFunction(nextState)
score.append( ghost(nextState,curDepth,total_ghosts) )
# print score,"score for pacman @",curDepth
return max(score)
def ghost(gameState, curDepth, ghost_idx):
if curDepth == self.depth or gameState.isWin() or gameState.isLose():
return self.evaluationFunction(gameState)
legalMoves = gameState.getLegalActions(ghost_idx)
score = []
# Pacman's turn
if ghost_idx == 1:
for move in legalMoves:
nextState = gameState.generateSuccessor(ghost_idx, move)
if nextState.isLose():
return self.evaluationFunction(nextState)
score.append( pacman(nextState,curDepth+1) )
# next ghost's turn
else:
for move in legalMoves:
nextState = gameState.generateSuccessor(ghost_idx, move)
if nextState.isLose():
return self.evaluationFunction(nextState)
score.append( ghost(nextState, curDepth, ghost_idx-1) )
# print score,"score for ghost",ghost_idx,"@",curDepth
return min(score)
bestScore = -9999
bestMove = 'Fail'
total_ghosts = gamestate.getNumAgents()-1
legalMoves = gamestate.getLegalActions(0)
for move in legalMoves:
nextState = gamestate.generateSuccessor(0, move)
# if it can win immediately
if nextState.isWin():
return move
tempScore = ghost(nextState, 1, total_ghosts)
if tempScore > bestScore:
bestScore = tempScore
bestMove = move
return bestMove
class AlphaBetaAgent(MultiAgentSearchAgent):
"""
Your minimax agent with alpha-beta pruning (question 3)
"""
def getAction(self, gamestate):
"""
Returns the minimax action using self.depth and self.evaluationFunction
"""
"*** YOUR CODE HERE ***"
def pacman(gameState, curDepth,A,B):
if gameState.isWin() or gameState.isLose():
return self.evaluationFunction(gameState)
legalMoves = [action for action in gameState.getLegalActions(0) if action!='Stop']
score = -9999999
for move in legalMoves:
nextState = gameState.generateSuccessor(0, move)
if nextState.isWin():
return self.evaluationFunction(nextState)
score = max(score, ghost(nextState,curDepth,total_ghosts,A,B))
if score > B:
return score
A = max(A,score)
# print score,"score for pacman @",curDepth
return score
def ghost(gameState, curDepth, ghost_idx,A,B):
if curDepth == self.depth or gameState.isWin() or gameState.isLose():
return self.evaluationFunction(gameState)
legalMoves = gameState.getLegalActions(ghost_idx)
score = 9999999
# Pacman's turn
if ghost_idx == 1:
for move in legalMoves:
nextState = gameState.generateSuccessor(ghost_idx, move)
if nextState.isLose():
return self.evaluationFunction(nextState)
# score.append( pacman(nextState,curDepth+1) )
score = min(score, pacman(nextState,curDepth+1,A,B))
if score < A:
return score
B = min(B,score)
# next ghost's turn
else:
for move in legalMoves:
nextState = gameState.generateSuccessor(ghost_idx, move)
if nextState.isLose():
return self.evaluationFunction(nextState)
# score.append( ghost(nextState, curDepth, ghost_idx-1) )
score = min(score, ghost(nextState, curDepth, ghost_idx-1,A,B))
# print score,"score for ghost",ghost_idx,"@",curDepth
return score
bestScore = -99999999
bestMove = 'Fail'
total_ghosts = gamestate.getNumAgents()-1
legalMoves = gamestate.getLegalActions(0)
for move in legalMoves:
nextState = gamestate.generateSuccessor(0, move)
# if it can win immediately
if nextState.isWin():
return move
tempScore = ghost(nextState, 1, total_ghosts,-9999999,9999999)
if tempScore > bestScore:
bestScore = tempScore
bestMove = move
return bestMove
class ExpectimaxAgent(MultiAgentSearchAgent):
"""
Your expectimax agent (question 4)
"""
def getAction(self, gamestate):
"""
Returns the expectimax action using self.depth and self.evaluationFunction
All ghosts should be modeled as choosing uniformly at random from their
legal moves.
"""
"*** YOUR CODE HERE ***"
def pacman(gameState, curDepth):
if gameState.isWin() or gameState.isLose():
return self.evaluationFunction(gameState)
legalMoves = [action for action in gameState.getLegalActions(0) if action!='Stop']
score = []
for move in legalMoves:
nextState = gameState.generateSuccessor(0, move)
if nextState.isWin():
return self.evaluationFunction(nextState)
score.append( ghost(nextState,curDepth,total_ghosts) )
# print score,"score for pacman @",curDepth
return max(score)
def ghost(gameState, curDepth, ghost_idx):
if curDepth == self.depth or gameState.isWin() or gameState.isLose():
return self.evaluationFunction(gameState)
legalMoves = gameState.getLegalActions(ghost_idx)
score = 0
# Pacman's turn
if ghost_idx == 1:
for move in legalMoves:
nextState = gameState.generateSuccessor(ghost_idx, move)
if nextState.isLose():
return self.evaluationFunction(nextState)
score += pacman(nextState,curDepth+1)
# next ghost's turn
else:
for move in legalMoves:
nextState = gameState.generateSuccessor(ghost_idx, move)
if nextState.isLose():
return self.evaluationFunction(nextState)
score += ghost(nextState, curDepth, ghost_idx-1)
# print score,"score for ghost",ghost_idx,"@",curDepth
return (score*1.0)/len(legalMoves)
bestScore = -999999
bestMove = 'Fail'
total_ghosts = gamestate.getNumAgents()-1
legalMoves = gamestate.getLegalActions(0)
for move in legalMoves:
nextState = gamestate.generateSuccessor(0, move)
# if it can win immediately
if nextState.isWin():
return move
tempScore = ghost(nextState, 1, total_ghosts)
if tempScore > bestScore:
bestScore = tempScore
bestMove = move
return bestMove
def betterEvaluationFunction(currentGameState):
"""
Your extreme ghost-hunting, pellet-nabbing, food-gobbling, unstoppable
evaluation function (question 5).
DESCRIPTION: Farther the nearest food higher the score
"""
"*** YOUR CODE HERE ***"
pacmanPos = currentGameState.getPacmanPosition()
foodlist = currentGameState.getFood().asList()
distanceToClosestFood = min(map(lambda x: util.manhattanDistance(pacmanPos, x), foodlist))
return currentGameState.getScore()+distanceToClosestFood
# Abbreviation
better = betterEvaluationFunction
| [
"anant02sep@gmail.com"
] | anant02sep@gmail.com |
c6d6c965204756070013e9e873147cede25d1b53 | 70fd9545d8f273db2126ac8bb0715c90838fe98b | /polls/serializers.py | 42ab6011a5fffa46a4744713a8cd70ab5d82ac49 | [] | no_license | Gohstreck/Backend | 6fd99e0c304054d6b60e44111b56b3453c78109b | 6052e6ffecf3c297d1256f51a695d55b89b3b883 | refs/heads/master | 2020-04-04T12:52:39.966936 | 2018-11-12T04:13:20 | 2018-11-12T04:13:20 | 155,940,576 | 0 | 0 | null | 2018-11-03T01:58:44 | 2018-11-03T01:58:44 | null | UTF-8 | Python | false | false | 2,459 | py | from rest_framework import serializers
from . import models
class PersonSerializer(serializers.HyperlinkedModelSerializer):
groups = serializers.HyperlinkedRelatedField(
many = True,
read_only = True,
view_name = 'group-detail'
)
articles = serializers.HyperlinkedRelatedField(
many = True,
read_only = True,
view_name = 'article-detail'
)
class Meta:
model = models.Person
fields = ('id_person', 'name', 'birthdate', 'mail', 'phone_number', 'articles', 'groups')
class InstitutionSerializer(serializers.HyperlinkedModelSerializer):
branches = serializers.HyperlinkedRelatedField(
many = True,
read_only = True,
view_name = 'branch-detail'
)
class Meta:
model = models.Institution
fields = ('id_institution', 'name', 'branches')
class GroupSerializer(serializers.HyperlinkedModelSerializer):
class Meta:
model = models.Group
fields = ('id_group', 'name', 'members', 'leader')
class BranchSerializer(serializers.HyperlinkedModelSerializer):
departments = serializers.HyperlinkedRelatedField(
many = True,
read_only = True,
view_name = 'department-detail'
)
class Meta:
model = models.Branch
fields = ('id_branch', 'institution', 'name', 'departments')
class ArticleSerializer(serializers.HyperlinkedModelSerializer):
class Meta:
model = models.Article
fields = ('id_article', 'title', 'authors')
class DepartmentSerializer(serializers.HyperlinkedModelSerializer):
researchers = serializers.HyperlinkedRelatedField(
many = True,
read_only = True,
view_name = 'researcher-detail'
)
class Meta:
model = models.Department
fields = ('id_department', 'name', 'phone_number', 'adress', 'branch', 'researchers')
class ResearcherSerializer(serializers.HyperlinkedModelSerializer):
students = serializers.HyperlinkedRelatedField(
many = True,
read_only = True,
view_name = 'student-detail'
)
leader = serializers.HyperlinkedRelatedField(
many = True,
read_only = True,
view_name = 'researcher-detail'
)
class Meta:
model = models.Researcher
fields = ('id_researcher', 'person', 'department', 'students', 'leader')
class StudentSerializer(serializers.HyperlinkedModelSerializer):
class Meta:
model = models.Student
fields = ('id_student', 'person', 'supervisor')
| [
"equiroz@ciencias.unam.mx"
] | equiroz@ciencias.unam.mx |
43ded90cced3f1255adfe6cd098a2966f73fb180 | 42705b3049418c3dc2815a0262aa814c6a2e3d9e | /feat_eng/funcs.py | dcc248c03ab3520bd17e5e378f3b4fea24b3f0f4 | [] | no_license | ppiont/cnn-soc-wagga | 617f4a0fecd6ac0b7d6fac2cb7171df9bfbf74a2 | 5152faf59c38c4b168a1dc9639fa8d13c16a91cd | refs/heads/master | 2023-07-11T09:01:08.786970 | 2021-08-14T12:17:09 | 2021-08-14T12:17:09 | 257,276,955 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,506 | py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Nov 30 18:32:01 2020.
@author: peter
"""
import numpy as np
def min_max(array, axis=(0, 1, 2), rm_no_variance=True):
"""Min-max scale an array and optionally remove features with no variance.
Parameters
----------
array : ndarray
Array to be scaled.
axis : int or tuple of int, optional
The axis or axes along which to scale. The default is (0, 1, 2).
Returns
-------
ndarray
The scaled array.
zero_channels_idx : ndarray, depending on `rm_no_variance`
The idx of zero variance features/channels that were removed.
"""
# Compute the mins along the axis
x_mins = array.min(axis=axis)
# Compute the maxs along hte axis
x_maxs = array.max(axis=axis)
# Get the difference
diff = x_maxs-x_mins
if rm_no_variance is True:
# Get index of features with no variance (max == min)
zero_channels_idx = np.where(diff == 0)[0]
# Remove features with no variance
array = np.delete(array, zero_channels_idx, -1)
diff = np.delete(diff, zero_channels_idx)
x_maxs = np.delete(x_maxs, zero_channels_idx)
x_mins = np.delete(x_mins, zero_channels_idx)
print(f'Removed from axis: {zero_channels_idx}')
# Compute and return the array normalized to 0-1 range and
# optionally return zero variance indexes
return (array-x_mins)/diff, zero_channels_idx
else:
return (array-x_mins)/diff
def crop_center(arr, crop_x, crop_y):
"""Crop an array, maintaining center."""
if len(arr.shape) == 4 and arr.shape[0] == 1:
arr = np.squeeze(arr)
y, x, _ = arr.shape
start_x = x//2 - crop_x//2
start_y = y//2 - crop_y//2
return arr[start_y:start_y + crop_y, start_x:start_x + crop_x, :]
def get_corr_feats(X, min_corr=0.8):
"""Get indices of correlated features of an array."""
correlated_features = set()
correlation_matrix = np.corrcoef(X, rowvar=False)
for i in range(correlation_matrix.shape[-1]):
for j in range(i):
if abs(correlation_matrix[i, j]) > min_corr:
correlated_features.add(i)
return np.array(list(correlated_features))
def add_min(a):
"""Add abs(minimum) along whole 1-D array."""
return a + abs(a.min()) if a.min() < 0 else a
def safe_log(x):
"""Apply log transform on all values except x <= 0s."""
x = np.ma.log(x)
return x.filled(0)
| [
"piontek0@gmail.com"
] | piontek0@gmail.com |
4b9670f8ab0b81af5668d3c702c93f533e2797c4 | 48581671e6fe9f59633aa9527c07d2724783a45c | /backend/Sunshine/api/urls.py | 13f6022e5be3c9148cab22057ca78eec281224c2 | [] | no_license | suma2001/SeniorSunshine | 14fdcf22877c30d3f81d0f159c3b91df91e5bc44 | 54274d3b2f1a87fcb8926313a32bc4234fe48572 | refs/heads/master | 2023-02-03T03:24:26.871423 | 2020-12-11T14:08:02 | 2020-12-11T14:08:02 | 320,590,319 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,661 | py | from django.urls import path
from .views import *
from rest_framework.urlpatterns import format_suffix_patterns
from rest_framework.authtoken import views
from knox import views as knox_views
urlpatterns = [
path('register/', RegisterAPI.as_view(), name='register'),
path('login/', LoginAPI.as_view(), name='login'),
path('logout/', LogoutAPI.as_view(), name='logout'),
path('logoutall/', knox_views.LogoutAllView.as_view(), name='knox_logoutall'),
path('elderregister/', RegisterElderAPI.as_view(), name='elderregister'),
path('elderlogin/', LoginElderAPI.as_view(), name='elderlogin'),
path('currentuser/', current_user, name='current_user'),
path('token/', views.obtain_auth_token, name='token'),
path('services/', ServicesAPIView.as_view(), name ='get_post_services'),
path('service/<int:id>/', ServicesDetailsView.as_view(), name='get_delete_update_service'),
# path('profiles/', ProfileAPIView.as_view()),
# path('profile/<int:id>/', ProfileDetailsView.as_view()),
path('elders/',ElderListView.as_view(),name ='get_post_elder_profiles'),
path('elder/<int:id>/',ElderDetailView.as_view(),name ='get_delete_update_elder_profile'),
path('requestservice/',RequestServiceAPIView.as_view(),name ='get_post_service'),
path('feedback/',FeedbackSubmitAPIView.as_view(),name ='get_post_feedback'),
path('test_volunteers/',TestVolunteerView.as_view(), name ='get_post_profiles'),
path('test_volunteer/<int:id>/',TestVolunteerDetailView.as_view(),name='get_delete_update_profile'),
path('custom_users/',UsersAPIView.as_view()),
path('volunteers/<int:id>/',GetVolunteers.as_view())
] | [
"sumashreya.t18@iiits.in"
] | sumashreya.t18@iiits.in |
4345a2c669d02154dade74de723eb3affdd3c2a8 | 07252bc9ce0ba693e8c3cd0ad969ab7e9f336083 | /apps/posts/forms.py | d2e808cc4daa9f7550ad748f64978972f26c3e4b | [] | no_license | Bakal1990/project | 9f038ae2f821e737ae3cd39e3c4d1efcf8db90e1 | 3673c621383f8366572b083be203f49074eba55e | refs/heads/master | 2020-12-25T19:26:10.888707 | 2015-02-16T19:31:09 | 2015-02-16T19:31:09 | 30,318,392 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 455 | py | from django import forms
from .models import Post
from profiles.models import User
class LikePostForm(forms.Form):
post_id = forms.CharField()
user_id = forms.CharField()
def clean_post_id(self):
post_id = self.cleaned_data.get('post_id')
return Post.objects.filter(id=post_id).exists()
def clean_user_id(self):
user_id = self.cleaned_data.get('user_id')
return User.objects.filter(id=user_id).exists()
| [
"molotovxiii@gmail.com"
] | molotovxiii@gmail.com |
3a79af3088336b15e677b0d3a821806575a98c86 | 2a466b71eb9f24c58ca6ba52a379870485d19140 | /src/cert_scanner/report/progress_graph_generator.py | ff14fd2a750106e8b5427dfc8ef64f1e2832767a | [
"MIT"
] | permissive | kgarwood/digital_certificate_scanner | 5df0fb47193f838353a0cadb696d49b8acbf8351 | ede1344144fa62349c0076d5618eccfc4131f98f | refs/heads/master | 2020-03-30T07:42:53.860968 | 2018-10-02T16:12:47 | 2018-10-02T16:12:47 | 150,961,231 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 11,102 | py | import cert_scanner.util.file_name_utility as file_name_utility
import cert_scanner.util.certificate_scanner_utility as \
certificate_scanner_utility
import matplotlib.pyplot as plt
from matplotlib.ticker import MaxNLocator
from matplotlib.ticker import MultipleLocator
import os
def generate(original_df,
output_directory,
expiry_type,
expiry_period_field_name,
expiry_period_phrase,
start_date,
end_date,
xtick_rotation_angle,
show_every_ith_x_label):
title_date_phrase = \
"from {} to {}\n({} {} to Week {})".format(
start_date.strftime("%d %b %Y"),
end_date.strftime("%d %b %Y"),
expiry_period_phrase,
start_date.strftime("%W %Y"),
expiry_period_phrase,
end_date.strftime("%W %Y"))
# print("generate 11111111111111111111111")
# print(original_df.columns.values)
# print("generate 22222222222222222222222")
__generate_num_certs_graph(original_df,
output_directory,
expiry_type,
expiry_period_field_name,
expiry_period_phrase,
start_date,
end_date,
xtick_rotation_angle,
show_every_ith_x_label)
__generate_num_releases_graph(original_df,
output_directory,
expiry_type,
expiry_period_field_name,
expiry_period_phrase,
start_date,
end_date,
xtick_rotation_angle,
show_every_ith_x_label)
__generate_num_locations_graph(original_df,
output_directory,
expiry_type,
expiry_period_field_name,
expiry_period_phrase,
start_date,
end_date,
xtick_rotation_angle,
show_every_ith_x_label)
def __generate_num_locations_graph(original_df,
output_directory,
expiry_type,
expiry_period_field_name,
expiry_period_phrase,
start_date,
end_date,
xtick_rotation_angle,
show_every_ith_x_label):
title_date_phrase = \
__generate_title_phrase(start_date, end_date, expiry_period_phrase)
num_locations_title = \
"Number of Files Containing Expiring Certs\n{}".format(
title_date_phrase)
period_to_period_phrase = \
__generate_period_to_period_phrase(expiry_type,
start_date,
end_date,
expiry_period_phrase)
num_locations_title = \
"Expiring Cert Files {}".format(period_to_period_phrase)
date_to_date_phrase = \
certificate_scanner_utility.generate_date_range_phrase(start_date,
end_date)
ax = original_df.plot.bar(x=expiry_period_field_name,
y='total_locations', width=1.0, rot=0)
ax.yaxis.set_major_locator(MaxNLocator(integer=True))
ax.tick_params(labelsize=6)
legend = ax.legend()
legend.remove()
plt.xlabel('xlabel', fontsize=10)
plt.ylabel('ylabel', fontsize=10)
plt.suptitle(num_locations_title, fontsize=14)
plt.title(date_to_date_phrase, fontsize=10)
ith_label = 0
for label in ax.xaxis.get_ticklabels():
label.set_visible(False)
for label in ax.xaxis.get_ticklabels()[::show_every_ith_x_label]:
label.set_visible(True)
plt.setp(ax.get_xticklabels(),
rotation=xtick_rotation_angle,
horizontalalignment='center')
plt.xlabel('Expiry {}'.format(expiry_period_phrase))
plt.ylabel('Total Files')
base_file_name = "total_{}_locations".format(expiry_type)
file_name = \
file_name_utility.get_time_range_file_name(base_file_name,
None,
start_date,
end_date,
"png")
output_file_path = os.path.join(output_directory, file_name)
plt.savefig(output_file_path)
def __generate_num_certs_graph(original_df,
output_directory,
expiry_type,
expiry_period_field_name,
expiry_period_phrase,
start_date,
end_date,
xtick_rotation_angle,
show_every_ith_x_label):
period_to_period_phrase = \
__generate_period_to_period_phrase(expiry_type,
start_date,
end_date,
expiry_period_phrase)
num_certs_title = \
"Expiring Cert Records {}".format(period_to_period_phrase)
date_to_date_phrase = \
certificate_scanner_utility.generate_date_range_phrase(start_date,
end_date)
ax = original_df.plot.bar(x=expiry_period_field_name,
y='total_expiring_certs', width=1.0, rot=0)
ax.yaxis.set_major_locator(MaxNLocator(integer=True))
legend = ax.legend()
legend.remove()
ax.tick_params(labelsize=6)
plt.xlabel('xlabel', fontsize=12)
plt.ylabel('ylabel', fontsize=12)
plt.suptitle(num_certs_title, fontsize=14)
plt.title(date_to_date_phrase, fontsize=10)
ith_label = 0
for label in ax.xaxis.get_ticklabels():
label.set_visible(False)
for label in ax.xaxis.get_ticklabels()[::show_every_ith_x_label]:
label.set_visible(True)
plt.setp(ax.get_xticklabels(),
rotation=xtick_rotation_angle,
horizontalalignment='center')
plt.xlabel('Expiry {}'.format(expiry_period_phrase))
plt.ylabel('Total Certificates')
base_file_name = "total_{}_certs".format(expiry_type)
file_name = \
file_name_utility.get_time_range_file_name(base_file_name,
None,
start_date,
end_date,
"png")
output_file_path = os.path.join(output_directory, file_name)
plt.savefig(output_file_path)
def __generate_num_releases_graph(original_df,
output_directory,
expiry_type,
expiry_period_field_name,
expiry_period_phrase,
start_date,
end_date,
xtick_rotation_angle,
show_every_ith_x_label):
period_to_period_phrase = \
__generate_period_to_period_phrase(expiry_type,
start_date,
end_date,
expiry_period_phrase)
num_releases_title = \
"Expiring Cert Releases {}".format(period_to_period_phrase)
date_to_date_phrase = \
certificate_scanner_utility.generate_date_range_phrase(start_date,
end_date)
ax = \
original_df.plot.bar(x=expiry_period_field_name,
y='total_releases',
width=1.0,
rot=0)
ax.yaxis.set_major_locator(MaxNLocator(integer=True))
ax.tick_params(labelsize=6)
legend = ax.legend()
legend.remove()
plt.xlabel('xlabel', fontsize=12)
plt.ylabel('ylabel', fontsize=12)
plt.suptitle(num_releases_title, fontsize=14)
plt.title(date_to_date_phrase, fontsize=10)
ith_label = 0
for label in ax.xaxis.get_ticklabels():
label.set_visible(False)
for label in ax.xaxis.get_ticklabels()[::show_every_ith_x_label]:
label.set_visible(True)
plt.setp(ax.get_xticklabels(),
rotation=xtick_rotation_angle,
horizontalalignment='center')
plt.xlabel('Expiry {}'.format(expiry_period_phrase))
plt.ylabel('Total Releases')
base_file_name = "total_{}_releases".format(expiry_type)
file_name = \
file_name_utility.get_time_range_file_name(base_file_name,
None,
start_date,
end_date,
"png")
output_file_path = os.path.join(output_directory, file_name)
plt.savefig(output_file_path)
def __generate_title_phrase(start_date,
end_date,
expiry_period_phrase):
title_date_phrase = \
"from {} to {}\n({} {} to Week {})".format(
start_date.strftime("%d %b %Y"),
end_date.strftime("%d %b %Y"),
expiry_period_phrase,
start_date.strftime("%W %Y"),
expiry_period_phrase,
end_date.strftime("%W %Y"))
return title_date_phrase
def __generate_period_to_period_phrase(expiry_type,
start_date,
end_date,
expiry_period_phrase):
if expiry_type == 'monthly':
return "({} to {})".format(
start_date.strftime("%b %Y"),
end_date.strftime("%b %Y"))
else:
return "(Week {} to Week {})".format(
start_date.strftime("%W %Y"),
end_date.strftime("%W %Y"))
def __generate_date_range_phrase(period_phrase, start_date, end_date):
return "from {} to {}\n({} {} to {} {})".format(
start_date.strftime("%d %b %Y"),
end_date.strftime("%d %b %Y"),
period_phrase,
start_date.strftime("%W %Y"),
period_phrase,
end_date.strftime("%W %Y"))
| [
"kevin.garwood@digital.cabinet-office.gov.uk"
] | kevin.garwood@digital.cabinet-office.gov.uk |
d23876d3a93f905357e7be2a1449341ef64f86a7 | f4718efa9d34fabad15f1b4ef856c4639eb6e718 | /Test.py | 0f3fceb541fd26b23c09661bee50a64c921d957e | [] | no_license | wilee1224/Data_wrangling | 98faa7428da2ec28dba5ad524d811bfadaf2db2b | ba4d88a987a38a4c1850f2954073d423300f1652 | refs/heads/master | 2020-03-12T04:14:49.194795 | 2018-08-06T12:24:57 | 2018-08-06T12:24:57 | 130,441,245 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 127 | py | import xlrd
book = xlrd.open_workbook("SOWC 2014 Stat Tables_Table 9.xlsx")
for sheet in book.sheets():
print sheet.name
| [
"wilee1224@gmail.com"
] | wilee1224@gmail.com |
2ca4b0788bfc54be10e712eabe0884ac23c7bf0a | ba9d6e33133709eb8ef9c643e50646596f8ab98b | /homeworks/hole_detection.py | 79f5583093614b7b290b86aac89e248e3a1b6e74 | [] | no_license | otniel/computer-vision | 2eb5588d7662ada0999001083e5562e3c3e69fd1 | 82430fd60c21d3f6c6609b429b051b25526b0102 | refs/heads/master | 2021-01-25T07:07:51.592712 | 2015-05-18T17:29:10 | 2015-05-18T17:29:10 | 29,542,857 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,639 | py | import Image
import numpy as np
import matplotlib.pyplot as plt
from scipy.signal import argrelextrema
from utils.tools import normalize_rgb_image, normalize_grayscale_image
from utils.detect_peaks import detect_peaks
class HoleDetection:
def __init__(self, image):
self.image = normalize_rgb_image(image)
self.pixels = self.image.load()
self.width, self.height = self.image.size
def smooth_list(self, the_list, width):
smoothed_list = []
for index, value in enumerate(the_list):
window = the_list[max(0, index-1):min(index+width, len(the_list))]
new_value = int(sum(window) / len(window))
smoothed_list.append(new_value)
return smoothed_list
def detect_holes(self):
horizontal_histogram = self.get_horizontal_histogram()
vertical_histogram = self.get_vertical_histogram()
smoothed_horizontal = self.smooth_list(horizontal_histogram, 5)
smoothed_horizontal = self.smooth_list(smoothed_horizontal, 5)
smoothed_horizontal = self.smooth_list(smoothed_horizontal, 5)
smoothed_vertical = self.smooth_list(vertical_histogram, 5)
smoothed_vertical = self.smooth_list(smoothed_vertical, 5)
smoothed_vertical = self.smooth_list(smoothed_vertical, 5)
horizontal_candidates = (np.gradient(np.sign(np.gradient(np.array(smoothed_horizontal)))) > 0).nonzero()[0]
vertical_candidates = (np.gradient(np.sign(np.gradient(np.array(smoothed_vertical)))) > 0).nonzero()[0]
# Drawing candidates
for y in xrange(self.height):
for x in horizontal_candidates:
self.pixels[x, y] = (255, 0, 0)
for x in xrange(self.width):
for y in vertical_candidates:
self.pixels[x, y] = (0, 0, 255)
self.image.save('../test-images/holes_intersection.png')
def get_horizontal_histogram(self):
horizontal_histogram = []
for x in range(self.width):
total_row = 0
for y in range(self.height):
total_row += self.pixels[x, y][0]
horizontal_histogram.append(total_row / self.height)
return horizontal_histogram
def get_vertical_histogram(self):
vertical_histogram = []
for y in range(self.height):
total_column = 0
for x in range(self.width):
total_column += self.pixels[x, y][0]
vertical_histogram.append(total_column / self.width)
return vertical_histogram
image = Image.open('../test-images/holes.png')
hd = HoleDetection(image)
hd.detect_holes() | [
"otnieel.aguilar@gmail.com"
] | otnieel.aguilar@gmail.com |
f024098d382063eb23c1aa5ac661a60dd1e56307 | 0556e11758ec9a632d4b1406be1597c6900aa93d | /tutorials/tutorial05/05_SPDE_on_fenics_solver.py | 99cad0868dac1a4b573f149230b8cc61853a6a92 | [
"MIT"
] | permissive | mtezzele/ATHENA | 85b5f1dd44180314ab9548a7cac054ca8a77b9df | d8f48680e035a4d51d51c1883932b46fd0bd8da8 | refs/heads/master | 2023-05-30T10:53:27.722329 | 2023-04-27T22:05:40 | 2023-04-27T22:05:40 | 226,117,142 | 0 | 0 | null | 2019-12-05T14:10:57 | 2019-12-05T14:10:56 | null | UTF-8 | Python | false | false | 5,930 | py | from dolfin import *
import matplotlib.pyplot as plt
import numpy as np
import sys
import os
from pathlib import Path
import warnings
warnings.filterwarnings('ignore')
def compute_mesh_map(mesh, dim):
m_map = np.zeros((dim, 2))
for j, cell in enumerate(cells(mesh)):
m_map[j, :] = cell.midpoint().array()[:2]
# print(m_map.shape)
return m_map
def compute_cov(mesh, beta, dim, mesh_map):
print("start covariance assemble")
cov = np.zeros((dim, dim))
for i in range(dim):
for j in range(i, dim):
cov[j, i] = cov[i, j] = np.exp(
-(np.linalg.norm(mesh_map[i, :] - mesh_map[j, :], 1)) / (beta))
print("end covariance assemble")
evals, evecs = np.linalg.eig(cov)
E = (evals[:m] * evecs[:, :m]).T
return cov, E
def set_conductivity(sim_index, mesh, c):
# print("set conductivity")
D = FunctionSpace(mesh, "DG", 0)
kappa = Function(D)
dm = D.dofmap()
for i, cell in enumerate(cells(mesh)):
kappa.vector()[dm.cell_dofs(cell.index())] = np.exp(c[sim_index, i])
return kappa
def boundary(x):
return x[1] < DOLFIN_EPS or x[1] > 1.0 - DOLFIN_EPS
def boundary0(x):
return x[0] < DOLFIN_EPS
def compute_solution(sim_index, mesh, kappa, pl=False):
# print("compute solution")
V = FunctionSpace(mesh, "Lagrange", 1)
u0 = Expression("10*x[1]*(1-x[1])", degree=0)
bc = DirichletBC(V, Constant(0.0), boundary)
bc0 = DirichletBC(V, u0, boundary0)
u = TrialFunction(V)
v = TestFunction(V)
f = Constant(
1.0
) #Expression("exp( - 2*pow(x[0]-0.5, 2) - 2*pow(x[1]-0.5, 2) )", element=V.ufl_element())
a = kappa * inner(grad(u), grad(v)) * dx
L = f * v * dx
u = Function(V)
solve(a == L, u, [bc, bc0])
if pl:
u_pl = plot(u, title='u')
plt.colorbar(u_pl)
plt.show()
return u
def restrict(mesh, v):
# print("restrict on outflow right side")
Right = AutoSubDomain(lambda x, on_bnd: near(x[0], 1) and on_bnd)
V = FunctionSpace(mesh, 'CG', 1)
bc0 = DirichletBC(V, 1, Right)
u = Function(V)
bc0.apply(u.vector())
v_restriction = v.vector()[u.vector() == 1]
return v_restriction.mean()
def compute_gradients(component_index,
mesh,
kappa,
E,
boundary,
cache,
solution,
pl=False):
# print("compute gradient")
V = FunctionSpace(mesh, "Lagrange", 1)
bc = DirichletBC(V, Constant(0.0), boundary)
w = TrialFunction(V)
v = TestFunction(V)
a = kappa * inner(grad(w), grad(v)) * dx
D = FunctionSpace(mesh, "DG", 0)
dkappa = Function(D)
dm = D.dofmap()
for i, cell in enumerate(cells(mesh)):
dkappa.vector()[dm.cell_dofs(
cell.index())] = kappa.vector()[dm.cell_dofs(
cell.index())] * E[component_index, i]
rhs = dkappa * inner(grad(solution), grad(v)) * dx
w = Function(V)
solve(a == rhs, w, bc)
if pl:
w_pl = plot(w, title='w')
plt.colorbar(w_pl)
plt.show()
return w
def show_mode(mode, mesh):
c = MeshFunction("double", mesh, 2)
# value = mode.dot(E)
# Iterate over mesh and set values
for i, cell in enumerate(cells(mesh)):
c[cell] = mode[i] #np.exp(value[i])
plot(c)
plt.show()
# Read mesh from file and create function space
mesh = Mesh("data/mesh.xml")
#dim = 6668 #mesh_2
dim = 3194
m = 10
M = 500
d = 1668
cache = np.zeros((d, m))
cache_res = np.zeros(m)
#choose lengthscale
beta = 0.015 #beta=0.03
inputs = np.random.multivariate_normal(np.zeros(m), np.eye(m), M)
#samples
np.save("data/inputs", inputs)
#covariance modes assemble
m_map = compute_mesh_map(mesh, dim)
cov, E = compute_cov(mesh, beta, dim, m_map)
c = inputs.dot(E)
np.save("data/covariance", cov)
np.save("data/cov_modes", E)
print("Karhunen-Loève mode shape", E.shape)
n = 2
print("Mode number {} of Karhunen-Loève decomposition".format(n))
show_mode(E[n, :], mesh)
# cov = np.load("data/covariance.npy", allow_pickle=True)
# E = np.load("data/cov_modes.npy", allow_pickle=True)
V = FunctionSpace(mesh, "Lagrange", 1)
dofs = V.dofmap().dofs()
# Get coordinates as len(dofs) x gdim array
dim = V.dim()
N = mesh.geometry().dim()
dofs_x = V.tabulate_dof_coordinates()
n_dof = 300
print("Coordinates of degree of freedom number {0} are {1}".format(
n_dof, dofs_x[n_dof]))
mesh = Mesh("data/mesh.xml")
V = FunctionSpace(mesh, "Lagrange", 1)
u = Function(V)
print(np.array(u.vector()[:]).shape)
for j in range(16):
for i in range(1668):
if i == (j + 1) * 100:
u.vector()[i] = 1
else:
u.vector()[i] = 0
plot(u, title='dof {}'.format((1 + j) * 100))
plt.savefig('data/component_{}.png'.format((1 + j) * 100))
for it in range(M):
print("Solution number :", it)
#set conductivity
kappa = set_conductivity(it, mesh, c)
#plot(kappa)
#plt.show()
#compute solution
u = compute_solution(it, mesh, kappa, pl=False) #pl=True to plot
u_res = restrict(mesh, u)
#print("mean of the solution restricted on the outflow (right side)", u_res)
#compute gradients
for j in range(m):
#print("Evaluating gradient component number :", j)
du = compute_gradients(j, mesh, kappa, E, boundary, cache, u)
du_res = restrict(mesh, du)
cache[:, j] = du.vector()[:]
cache_res[j] = du_res
file = Path("data/outputs.npy")
with file.open('ab') as f:
np.save(f, u.vector()[:])
file = Path("data/outputs_res.npy")
with file.open('ab') as f:
np.save(f, u_res)
file = Path("data/gradients.npy")
with file.open('ab') as f:
np.save(f, cache)
file = Path("data/gradients_res.npy")
with file.open('ab') as f:
np.save(f, cache_res)
| [
"francesco.romor@gmail.com"
] | francesco.romor@gmail.com |
4acf925d2f474e88d0b195933e8e7df31a2aa765 | 9446feb2a94486ac16c585f712dbcbea7d112a9d | /src/taskmaster/cli/master.py | b78926059cf4a36ee7d184b223ba2326de9179e4 | [
"Apache-2.0"
] | permissive | jdunck/taskmaster | c16c879a546dd2ac383f804788e2d8ae2606abd1 | 04a03bf0853facf318ce98192db6389cdaaefe3c | refs/heads/master | 2023-08-23T19:29:22.605052 | 2012-05-16T00:52:24 | 2012-05-16T00:52:24 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 958 | py | """
taskmaster.cli.master
~~~~~~~~~~~~~~~~~~~~~
:copyright: (c) 2010 DISQUS.
:license: Apache License 2.0, see LICENSE for more details.
"""
def run(target, reset=False, size=10000, address='tcp://0.0.0.0:3050'):
from taskmaster.server import Server, Controller
server = Server(address, size=size)
controller = Controller(server, target)
if reset:
controller.reset()
controller.start()
def main():
import optparse
import sys
parser = optparse.OptionParser()
parser.add_option("--address", dest="address", default='tcp://127.0.0.1:3050')
parser.add_option("--size", dest="size", default='10000', type=int)
parser.add_option("--reset", dest="reset", default=False, action='store_true')
(options, args) = parser.parse_args()
if len(args) != 1:
print 'Usage: tm-master <callback>'
sys.exit(1)
sys.exit(run(args[0], **options.__dict__))
if __name__ == '__main__':
main()
| [
"dcramer@gmail.com"
] | dcramer@gmail.com |
dac71081393db6a981bf3c583d5697793ad0de22 | 24ce8e56cd54c93c5a285089acb1825132e9e2eb | /495.TeemoAttacking/teemoattacking.py | ebdaf083b15431291215be7042244143c3ef7706 | [] | no_license | mayuripatil07/LeetCode | 6c7d2148e05fe2c086412d38a7cb71e6e74eee87 | 4617b11d9487385522ba665ca34b378659afe02c | refs/heads/master | 2023-01-13T11:03:49.805792 | 2020-11-01T21:41:59 | 2020-11-01T21:41:59 | 261,207,306 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 729 | py | class Solution:
def findPoisonedDuration(self, timeSeries: List[int], duration: int) -> int:
if not timeSeries:
return 0
poison_time = timeSeries[0] + duration
poison_condition = duration
for i in range(1,len(timeSeries)):
if poison_time <= timeSeries[i]:
poison_condition += duration
poison_time = timeSeries[i] + duration
elif poison_time > timeSeries[i]:
diff = poison_time - timeSeries[i]
add_time = duration - diff
if diff <= duration:
poison_condition += add_time
poison_time = timeSeries[i] + duration
return poison_condition
| [
"mpatil7@binghamton.edu"
] | mpatil7@binghamton.edu |
2d399e7009cc07f480db636304e56d03c3aa52d9 | 32d4cbfce0edf448e5c6518a3dc5fb7a27d74b88 | /build/lib/malaria/study_sites/SugungumAgeSeasonCalibSiteBabies.py | d572d77d05d0948e88dbcdb4bceecce749917500 | [] | no_license | bertozzivill/dtk-tools-malaria-old | 7458164f35452d3ede99d03d709197a7108366ba | 9aef758261b67c0b06520d8b74b7a9da537448fc | refs/heads/master | 2020-03-24T19:24:02.338717 | 2018-12-17T21:53:21 | 2018-12-17T21:53:21 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,717 | py | import logging
import os
import numpy as np
from calibtool.analyzers.Helpers import season_channel_age_density_csv_to_pandas
from calibtool.study_sites.site_setup_functions import \
config_setup_fn, summary_report_fn, add_treatment_fn, site_input_eir_fn
from calibtool.study_sites.DensityCalibSite import DensityCalibSite
logger = logging.getLogger(__name__)
class SugungumAgeSeasonCalibSiteBabies(DensityCalibSite):
metadata = {
'parasitemia_bins': [0.0, 16.0, 70.0, 409.0, np.inf], # (, 0] (0, 16] ... (409, inf]
'age_bins': [0, 1, 4, 8, 18, 28, 43, np.inf], # (, 1] (1, 4] ... (43, inf],
'seasons': ['DC2', 'DH2', 'W2'],
'seasons_by_month': {
'May': 'DH2',
'September': 'W2',
'January': 'DC2'
},
'village': 'Matsari'
}
def get_reference_data(self, reference_type):
super(SugungumAgeSeasonCalibSiteBabies, self).get_reference_data(reference_type)
# Load the Parasitology CSV
dir_path = os.path.dirname(os.path.realpath(__file__))
reference_csv = os.path.join(dir_path, 'inputs', 'GarkiDB_data', 'GarkiDBparasitology.csv')
reference_data = season_channel_age_density_csv_to_pandas(reference_csv, self.metadata).reset_index()
reference_data = (reference_data[reference_data['Age Bin'] == 1.0]).set_index(
['Channel', 'Season', 'Age Bin', 'PfPR Bin'])
return reference_data
def get_setup_functions(self):
setup_fns = super(SugungumAgeSeasonCalibSiteBabies, self).get_setup_functions()
setup_fns.append(config_setup_fn(duration=365 * 2)) # 60 years (with leap years)
setup_fns.append(summary_report_fn(start=365, interval=365.0 / 12, description='Monthly_Report',
parasitemia_bins=[0.0, 16.0, 70.0, 409.0, 4000000.0],
age_bins=[1.0, 4.0, 8.0, 18.0, 28.0, 43.0, 400000.0]))
setup_fns.append(site_input_eir_fn(self.name, birth_cohort=True))
setup_fns.append(lambda cb: cb.update_params(
{'Demographics_Filenames': ['Calibration\\birth_cohort_demographics_babies.json'],
'Age_Initialization_Distribution_Type': 'DISTRIBUTION_SIMPLE',
'Base_Population_Scale_Factor': 10,
'Birth_Rate_Dependence': 'FIXED_BIRTH_RATE',
"Death_Rate_Dependence": "NONDISEASE_MORTALITY_OFF",
'Enable_Birth': 1,
'Enable_Vital_Dynamics': 1,
'Maternal_Antibodies_Type': 'SIMPLE_WANING',
}))
return setup_fns
def __init__(self):
super(SugungumAgeSeasonCalibSiteBabies, self).__init__('Sugungum_babies')
| [
"jsuresh@idmod.org"
] | jsuresh@idmod.org |
2e9f65cb125310604066c976eeca51526b77e980 | 4b226dfa9c17da6bab4c2e1831de057b049a7919 | /monitoring/availability.py | 17860d236749fd6a9fab47a417a837db94250c16 | [] | no_license | eea/inspire.harvest.feasibility.tools | 616070cff9608c09bb3543be711e7d66152c17a5 | b4994db8bd02ccfc2c5d5bf9fe5c8efbfda55bc3 | refs/heads/master | 2023-08-01T06:27:52.888886 | 2018-11-15T16:09:17 | 2018-11-15T16:09:17 | 142,995,171 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,446 | py | import logging
import csv
from datetime import datetime
import pytz
import requests
from monitoring.common import HTTPCheckResult, Monitor, get_service_urls
logger = logging.getLogger("availability_check")
info, debug, error = logger.info, logger.debug, logger.error
def check_availability(url, url_id, output_path, csv_write_lock, timeout):
"""
Checks the availability of a URL, and appends the result to a CSV file.
URL's are verified using a streaming GET request - the connection is severed
once the headers are received, to avoid impacting services with a sizeable
response content size.
Parameters:
url(str) : The URL to check
url_id(int) : The is written to file instead of the URL, for correlation.
output_path(str): The path of the CSV file to append the results to.
csv_write_lock (threading.Lock): Lock for writing to CSV.
timeout(float): The timeout in seconds for the GET requests - if `None`,
defaults to `DEFAULT_CHECK_INTERVAL`.
"""
info(f"Checking {url}")
try:
with requests.get(url, timeout=timeout, stream=True) as r:
try:
content_length = int(r.headers["Content-Length"])
except (KeyError, ValueError):
content_length = None
result = HTTPCheckResult(
status_code=r.status_code,
content_length=content_length,
content_type=r.headers.get("Content-Type"),
duration=r.elapsed.total_seconds(),
last_modified=r.headers.get("Last-Modified"),
)
except requests.exceptions.Timeout:
result = HTTPCheckResult(timeout=True)
except requests.exceptions.ConnectionError:
result = HTTPCheckResult(connection_error=True)
with csv_write_lock:
with open(output_path, "a") as f:
w = csv.writer(f, delimiter="\t")
w.writerow(
[
datetime.now(pytz.UTC).isoformat(),
url_id,
result.status_code,
result.content_length,
result.content_type,
result.duration,
result.last_modified,
1 if result.timeout else 0,
1 if result.connection_error else 0,
]
)
if __name__ == "__main__":
import argparse
parser = argparse.ArgumentParser(
description="Run the INSPIRE endpoints availability monitor"
)
parser.add_argument("--endpoints-csv", help="Path to CSV with endpoint URL's")
parser.add_argument("--output", help="Path to monitoring output file")
parser.add_argument(
"--urls-col-no", default=0, type=int, help="URL's column number in the CSV file"
)
parser.add_argument(
"--check-interval",
default=300,
type=int,
help="Interval to check every endpoint at, in seconds. Defaults to 5 min.",
)
args = parser.parse_args()
logging.basicConfig(level=logging.INFO, format="%(message)s")
logging.getLogger("schedule").setLevel(logging.WARNING)
urls = get_service_urls(args.endpoints_csv, col_no=args.urls_col_no)
monitor = Monitor(
service_urls=urls,
check_func=check_availability,
output_path=args.output,
check_interval=args.check_interval,
)
monitor.run()
| [
"andrei@duhnea.net"
] | andrei@duhnea.net |
2917ef2371964c06a2bedd3acf1b8cd301c7a4b7 | 216fe95ca1d92c6071155cf59c36789edcb27123 | /languageBot/messengerBot/urls.py | f6e9f82f5d5d8ff77f08b523aed294744dc7ad97 | [
"MIT"
] | permissive | singhvisha/LanguageBot | 16b5b153e55b432bfa108a7add5a087b38af7722 | 9cef316bceb2f6951863af2fa869398fb5242519 | refs/heads/master | 2023-05-31T11:26:41.773724 | 2020-07-12T17:49:15 | 2020-07-12T17:49:15 | 279,117,273 | 0 | 0 | MIT | 2021-06-10T23:09:31 | 2020-07-12T17:46:28 | Python | UTF-8 | Python | false | false | 192 | py | from django.conf.urls import include, url
from .views import messengerBotView
urlpatterns = [
url(r'^21975e0a3c7ab17aa37124158bbda569af363d15eacb576e06/?$', messengerBotView.as_view()),
] | [
"vishalsingh600700@gmail.com"
] | vishalsingh600700@gmail.com |
40115813710fb922b4615d58c11ab7d51905be62 | 9de9beaf657bf3d5967997b301753c3d1cd03d51 | /2. SLAE/errors/errors.py | 925669e7fe86341252a64bbc1bc78c60a59c5b8c | [] | no_license | karmapolice-0/Numerical-things | e87116b86c52b63424137f72ae079c3a48a7154b | 41852fb84fed71a0a5673eaa977a476b95733e59 | refs/heads/master | 2021-05-18T19:35:04.576327 | 2020-04-04T19:59:14 | 2020-04-04T19:59:14 | 251,380,982 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,462 | py | class MatrixError(Exception):
def __init__(self, msg=""):
self.message = msg
def __str__(self):
return self.message
class DimensionError(MatrixError):
def __init__(self, err, *args):
self.message = err
class NotListOrTuple(MatrixError):
def __init__(self, err, *args):
self.message = f"Given value should be a list or a tuple, not '{type(err).__name__}'"+". ".join(args)
class EmptyMatrix(MatrixError):
def __init__(self, err, *args):
self.message = str(err).join(args)
class InvalidIndex(MatrixError):
def __init__(self, err, *args):
self.message = f"'{type(err).__name__}' type index '{err}' can't be used as a row index. "+". ".join(args)
class InvalidColumn(MatrixError):
def __init__(self, err, *args):
self.message = f"'{type(err).__name__}' type index '{err}' can't be used as a column index. "+". ".join(args)
class FillError(MatrixError):
def __init__(self, err, *args):
self.message = f"'{type(err).__name__}' type '{err}' can't be used to fill matrices. "+". ".join(args)
class OutOfRangeList(MatrixError):
def __init__(self, lis, r, *args):
self.message = f"Given {lis} should have values in range {r} \n"+". ".join(args)
class ParameterError(MatrixError):
def __init__(self, err, params, *args):
self.message = f"'{err}' isn't a valid parameter name. \nAvailable parameter names:\n\t{params}. "+". ".join(args)
| [
"akselivj@gmail.com"
] | akselivj@gmail.com |
fdf8d0c74a52e8f39d8f597575a9abaa39184b7d | 31996e49289655f60b71ed176cc94e32648ffe40 | /criterion.py | 3354fd91fc4305af5fdb94aa158db4645a80560f | [] | no_license | Will3577/MultitaskOCTA | 064fe7d437fe4a234653f4e5ba50faccc6f4bfb6 | b6719e10318421bc841daf66468c52066bec0f7a | refs/heads/master | 2023-06-24T06:59:05.763417 | 2021-07-13T09:05:55 | 2021-07-13T09:05:55 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 17,651 | py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Aug 14 10:40:54 2019
@author: wujon
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import surface_distance
# import nibabel as ni
import scipy.io
import scipy.spatial
import xlwt
import os
import cv2
from skimage import morphology
from skimage.morphology import thin
from sklearn.metrics import confusion_matrix, jaccard_score, f1_score
os.chdir('./')
predictName = 'cotrain_192_pad'
predictPath = './smp/' + predictName + '/'
labelPath = "./smp/mask_ori_f1/"
name_experiment = 'exp_test'
path_experiment = './' + name_experiment + '/'
# labelPath = "./gt/"
# outpredictPath = "./gt_poor_o_thin/"
# outlabelPath = "./gt_o_thin/"
def getDSC(testImage, resultImage):
"""Compute the Dice Similarity Coefficient."""
testArray = testImage.flatten()
resultArray = resultImage.flatten()
return 1.0 - scipy.spatial.distance.dice(testArray, resultArray)
def getJaccard(testImage, resultImage):
"""Compute the Dice Similarity Coefficient."""
testArray = testImage.flatten()
resultArray = resultImage.flatten()
return 1.0 - scipy.spatial.distance.jaccard(testArray, resultArray)
def getPrecisionAndRecall(testImage, resultImage):
testArray = testImage.flatten()
resultArray = resultImage.flatten()
TP = np.sum(testArray*resultArray)
FP = np.sum((1-testArray)*resultArray)
FN = np.sum(testArray*(1-resultArray))
precision = TP/(TP+FP)
recall = TP/(TP+FN)
return precision, recall
def intersection(testImage, resultImage):
testSkel = morphology.skeletonize(testImage)
testSkel = testSkel.astype(int)
resultSkel = morphology.skeletonize(resultImage)
resultSkel = resultSkel.astype(int)
testArray = testImage.flatten()
resultArray = resultImage.flatten()
testSkel = testSkel.flatten()
resultSkel = resultSkel.flatten()
recall = np.sum(resultSkel * testArray) / (np.sum(testSkel))
precision = np.sum(resultArray * testSkel) / (np.sum(testSkel))
intersection = 2 * precision * recall / (precision + recall)
return intersection
if __name__ == "__main__":
labelList = os.listdir(labelPath)
# labelList.sort(key = lambda x: int(x[:-4]))
img_nums = len(labelList)
Q1 = []
Q2 = []
Q3 = []
Q4 = []
Q5 = []
Q6 = []
Q7 = []
Q8 = []
Q9 = []
Q10 = []
Q11 = []
Q12 = []
Q13 = []
Q14 = []
Q15 = []
Q16 = []
Q17 = []
book = xlwt.Workbook(encoding='utf-8', style_compression=0)
sheet = book.add_sheet('mysheet', cell_overwrite_ok=True)
row_num = 0
sheet.write(row_num, 0, 'CaseName')
sheet.write(row_num, 1, 'DSC')
sheet.write(row_num, 2, 'Pre')
sheet.write(row_num, 3, 'Recall')
sheet.write(row_num, 4, 'HD')
sheet.write(row_num, 5, 'ASSD')
sheet.write(row_num, 6, 'surface_dice_0')
sheet.write(row_num, 7, 'rel_overlap_gt')
sheet.write(row_num, 8, 'rel_overlap_pred')
sheet.write(row_num, 9, 'intersec')
sheet.write(row_num, 10, 'HD_thin')
sheet.write(row_num, 11, 'ASSD_thin')
sheet.write(row_num, 12, 'surface_dice_1')
sheet.write(row_num, 13, 'surface_dice_2')
sheet.write(row_num, 14, 'Jaccard')
sheet.write(row_num, 15, 'acc')
sheet.write(row_num, 16, 'spe')
sheet.write(row_num, 17, 'sen')
for idx, filename in enumerate(labelList):
label = cv2.imread(labelPath + filename, 0)
# print (label.dtype)
# label = cv2.imread(labelPath + filename)
label[label < 50] = 0
label[label >= 50] = 1
thinned_label = thin(label)
# cv2.imwrite(outlabelPath+filename,(thinned_label*255).astype(np.uint8))
# ret,label = cv2.threshold(label,127,255,cv2.THRESH_BINARY)
predict = cv2.imread(predictPath + filename.replace('_manual.png', '_expert.png'), 0)
# print(predictPath + filename)
# print (predict.dtype)
# ret,predict = cv2.threshold(predict,127,255,cv2.THRESH_BINARY)
# predict = cv2.imread(predictPath + filename)
# predict = predict / 255
predict[predict < 127] = 0
predict[predict >= 127] = 1
# ==============================================================================================================================================================================
y_scores = cv2.imread(predictPath + filename.replace('_manual.png', '_expert.png'), 0) # #####################################################################
y_scores = np.asarray(y_scores.flatten())/255.
y_scores = y_scores[:, np.newaxis]
# print(y_scores.shape)
y_true = cv2.imread(labelPath + filename, 0)
y_true = np.asarray(y_true.flatten())/255.
# fpr, tpr, thresholds = roc_curve((y_true), y_scores)
# AUC_ROC = roc_auc_score(y_true, y_scores)
# # test_integral = np.trapz(tpr,fpr) #trapz is numpy integration
# print ("\nArea under the ROC curve: " +str(AUC_ROC))
# roc_curve =plt.figure()
# plt.plot(fpr,tpr,'-',label='Area Under the Curve (AUC = %0.4f)' % AUC_ROC)
# plt.title('ROC curve')
# plt.xlabel("FPR (False Positive Rate)")
# plt.ylabel("TPR (True Positive Rate)")
# plt.legend(loc="lower right")
# plt.savefig(path_experiment+"ROC.png")
# precision, recall, thresholds = precision_recall_curve(y_true, y_scores)
# precision = np.fliplr([precision])[0] #so the array is increasing (you won't get negative AUC)
# recall = np.fliplr([recall])[0] #so the array is increasing (you won't get negative AUC)
# AUC_prec_rec = np.trapz(precision,recall)
# print ("\nArea under Precision-Recall curve: " +str(AUC_prec_rec))
# prec_rec_curve = plt.figure()
# plt.plot(recall,precision,'-',label='Area Under the Curve (AUC = %0.4f)' % AUC_prec_rec)
# plt.title('Precision - Recall curve')
# plt.xlabel("Recall")
# plt.ylabel("Precision")
# plt.legend(loc="lower right")
# plt.savefig(path_experiment+"Precision_recall.png")
# def best_f1_threshold(precision, recall, thresholds):
# best_f1=-1
# for index in range(len(precision)):
# curr_f1=2.*precision[index]*recall[index]/(precision[index]+recall[index])
# if best_f1<curr_f1:
# best_f1=curr_f1
# best_threshold=thresholds[index]
# return best_f1, best_threshold
# best_f1, best_threshold = best_f1_threshold(precision, recall, thresholds)
# print("\nthresholds: " + str(thresholds))
# print("\nbest_f1: " + str(best_f1))
# print("\nbest_threshold: " + str(best_threshold))
# Confusion matrix
threshold_confusion = 0.5
# print ("\nConfusion matrix: Custom threshold (for positive) of " +str(threshold_confusion))
y_pred = np.empty((y_scores.shape[0]))
# print(y_scores.shape[0])
# print(np.unique(y_pred))
for i in range(y_scores.shape[0]):
if y_scores[i] >= threshold_confusion:
y_pred[i] = 1
else:
y_pred[i] = 0
# print(np.unique(y_pred))
# print(np.unique(y_true))
confusion = confusion_matrix(y_true, y_pred)
# print (confusion)
accuracy = 0
if float(np.sum(confusion)) != 0:
accuracy = float(confusion[0, 0]+confusion[1, 1])/float(np.sum(confusion))
# print ("Global Accuracy: " +str(accuracy))
specificity = 0
if float(confusion[0, 0]+confusion[0, 1]) != 0: # 00 tn 11 tp 10 fn 01 fp
specificity = float(confusion[0, 0])/float(confusion[0, 0]+confusion[0, 1])
# print ("Specificity: " +str(specificity))
sensitivity = 0
if float(confusion[1, 1]+confusion[1, 0]) != 0:
sensitivity = float(confusion[1, 1])/float(confusion[1, 1]+confusion[1, 0])
# print ("Sensitivity: " +str(sensitivity))
precision = 0
if float(confusion[1, 1]+confusion[0, 1]) != 0:
precision = float(confusion[1, 1])/float(confusion[1, 1]+confusion[0, 1])
# print ("Precision: " +str(precision))
if float(confusion[1, 1]+confusion[0, 1]) != 0:
PPV = float(confusion[1, 1])/float(confusion[1, 1]+confusion[0, 1])
# print ("PPV: " +str(PPV))
# Jaccard similarity index
jaccard_index = jaccard_score(y_true, y_pred)
print("\nJaccard similarity score: " + str(jaccard_index))
# F1 score
F1_score = f1_score(y_true, y_pred, labels=None, average='binary', sample_weight=None)
# print ("\nF1 score (F-measure): " +str(F1_score))
# Save the results
# file_perf = open(path_experiment+'performances.txt', 'w')
# # file_perf.write("Area under the ROC curve: "+str(AUC_ROC)
# # + "\nArea under Precision-Recall curve: " +str(AUC_prec_rec)
# # + "\nJaccard similarity score: " +str(jaccard_index)
# # + "\nF1 score (F-measure): " +str(F1_score)
# # +"\n\nConfusion matrix:"
# # +str(confusion)
# # +"\nACCURACY: " +str(accuracy)
# # +"\nSENSITIVITY: " +str(sensitivity)
# # +"\nSPECIFICITY: " +str(specificity)
# # +"\nPRECISION: " +str(precision)
# # +"\nRECALL: " +str(sensitivity)
# # +"\nPPV: " +str(PPV)
# # +"\nbest_th: " +str(best_threshold)
# # +"\nbest_f1: " +str(best_f1)
# # )
# file_perf.write(
# "\nJaccard similarity score: " +str(jaccard_index)
# + "\nF1 score (F-measure): " +str(F1_score)
# +"\n\nConfusion matrix:"
# +str(confusion)
# +"\nACCURACY: " +str(accuracy)
# +"\nSENSITIVITY: " +str(sensitivity)
# +"\nSPECIFICITY: " +str(specificity)
# +"\nPRECISION: " +str(precision)
# +"\nRECALL: " +str(sensitivity)
# +"\nPPV: " +str(PPV)
# )
# file_perf.close()
# #==============================================================================================================================================================================
thinned_predict = thin(predict)
# cv2.imwrite(outpredictPath+filename,(thinned_predict*255).astype(np.uint8))
# predict[predict>=1] = 1
# dice = getDSC(predict, label)
# print("filename:" , filename , "dice:" , dice)
# dice_res = "the " + filename[:-4] + " image's DSC : " + str(round(dice,4)) + "\n"
DSC = getDSC(label, predict)
# surface_distances = surface_distance.compute_surface_distances(label, predict, spacing_mm=(1, 1, 1))
# HD = surface_distance.compute_robust_hausdorff(surface_distances, 95)
# distances_gt_to_pred = surface_distances["distances_gt_to_pred"]
# distances_pred_to_gt = surface_distances["distances_pred_to_gt"]
# surfel_areas_gt = surface_distances["surfel_areas_gt"]
# surfel_areas_pred = surface_distances["surfel_areas_pred"]
# ASSD = (np.sum(distances_pred_to_gt * surfel_areas_pred) +np.sum(distances_gt_to_pred * surfel_areas_gt))/(np.sum(surfel_areas_gt)+np.sum(surfel_areas_pred))
Jaccard = getJaccard(label, predict)
precision, recall = getPrecisionAndRecall(label, predict)
intersec = intersection(label, predict)
label = np.array(label, dtype=bool)
predict = np.array(predict, dtype=bool)
surface_distances = surface_distance.compute_surface_distances(label, predict, spacing_mm=(1, 1))
surface_distances_thin = surface_distance.compute_surface_distances(thinned_label, thinned_predict, spacing_mm=(1, 1))
HD = surface_distance.compute_robust_hausdorff(surface_distances, 95)
HD_thin = surface_distance.compute_robust_hausdorff(surface_distances_thin, 95)
surface_dice_2 = surface_distance.compute_surface_dice_at_tolerance(surface_distances, 2)
rel_overlap_gt, rel_overlap_pred = surface_distance.compute_surface_overlap_at_tolerance(surface_distances, 2)
surface_dice_1 = surface_distance.compute_surface_dice_at_tolerance(surface_distances, 1)
surface_dice_0 = surface_distance.compute_surface_dice_at_tolerance(surface_distances, 0)
surface_dice_3 = surface_distance.compute_surface_dice_at_tolerance(surface_distances, 3)
distances_gt_to_pred = surface_distances["distances_gt_to_pred"]
distances_pred_to_gt = surface_distances["distances_pred_to_gt"]
surfel_areas_gt = surface_distances["surfel_areas_gt"]
surfel_areas_pred = surface_distances["surfel_areas_pred"]
ASSD = (np.sum(distances_pred_to_gt * surfel_areas_pred) + np.sum(distances_gt_to_pred * surfel_areas_gt))/(np.sum(surfel_areas_gt)+np.sum(surfel_areas_pred))
distances_gt_to_pred_t = surface_distances_thin["distances_gt_to_pred"]
distances_pred_to_gt_t = surface_distances_thin["distances_pred_to_gt"]
surfel_areas_gt_t = surface_distances_thin["surfel_areas_gt"]
surfel_areas_pred_t = surface_distances_thin["surfel_areas_pred"]
ASSD_thin = (np.sum(distances_pred_to_gt_t * surfel_areas_pred_t) + np.sum(distances_gt_to_pred_t * surfel_areas_gt_t))/(np.sum(surfel_areas_gt_t)+np.sum(surfel_areas_pred_t))
# print(surface_overlap)
row_num += 1
sheet.write(row_num, 0, filename)
sheet.write(row_num, 1, DSC)
sheet.write(row_num, 2, precision)
sheet.write(row_num, 3, recall)
sheet.write(row_num, 4, HD)
sheet.write(row_num, 5, ASSD)
sheet.write(row_num, 6, surface_dice_0)
sheet.write(row_num, 7, rel_overlap_gt)
sheet.write(row_num, 8, rel_overlap_pred)
sheet.write(row_num, 9, intersec)
sheet.write(row_num, 10, HD_thin)
sheet.write(row_num, 11, ASSD_thin)
sheet.write(row_num, 12, surface_dice_1)
sheet.write(row_num, 13, surface_dice_2)
# sheet.write(row_num, 14, surface_dice_3)
sheet.write(row_num, 14, Jaccard)
sheet.write(row_num, 15, accuracy)
sheet.write(row_num, 16, specificity)
sheet.write(row_num, 17, sensitivity)
Q1.append(DSC)
Q2.append(precision)
Q3.append(recall)
Q4.append(HD)
Q5.append(ASSD)
Q6.append(surface_dice_0)
Q7.append(rel_overlap_gt)
Q8.append(rel_overlap_pred)
Q9.append(intersec)
Q10.append(HD_thin)
Q11.append(ASSD_thin)
Q12.append(surface_dice_1)
Q13.append(surface_dice_2)
# Q14.append(surface_dice_3)
Q14.append(Jaccard)
Q15.append(accuracy)
Q16.append(specificity)
Q17.append(sensitivity)
Q1 = np.array(Q1)
Q2 = np.array(Q2)
Q3 = np.array(Q3)
Q4 = np.array(Q4)
Q5 = np.array(Q5)
Q6 = np.array(Q6)
Q7 = np.array(Q7)
Q8 = np.array(Q8)
Q9 = np.array(Q9)
Q10 = np.array(Q10)
Q11 = np.array(Q11)
Q12 = np.array(Q12)
Q13 = np.array(Q13)
Q14 = np.array(Q14)
Q15 = np.array(Q15)
Q16 = np.array(Q16)
Q17 = np.array(Q17)
row_num += 2
sheet.write(row_num, 0, 'CaseName')
sheet.write(row_num, 1, 'DSC')
sheet.write(row_num, 2, 'Pre')
sheet.write(row_num, 3, 'Recall')
sheet.write(row_num, 4, 'HD')
sheet.write(row_num, 5, 'ASSD')
sheet.write(row_num, 6, 'surface_dice_0')
sheet.write(row_num, 7, 'rel_overlap_gt')
sheet.write(row_num, 8, 'rel_overlap_pred')
sheet.write(row_num, 9, 'intersec')
sheet.write(row_num, 10, 'HD_thin')
sheet.write(row_num, 11, 'ASSD_thin')
sheet.write(row_num, 12, 'surface_dice_1')
sheet.write(row_num, 13, 'surface_dice_2')
sheet.write(row_num, 14, 'Jaccard')
sheet.write(row_num, 15, 'accuracy')
sheet.write(row_num, 16, 'specificity')
sheet.write(row_num, 17, 'sensitivity')
row_num += 1
sheet.write(row_num, 0, predictName)
sheet.write(row_num, 1, Q1.mean())
sheet.write(row_num, 2, Q2.mean())
sheet.write(row_num, 3, Q3.mean())
sheet.write(row_num, 4, Q4.mean())
sheet.write(row_num, 5, Q5.mean())
sheet.write(row_num, 6, Q6.mean())
sheet.write(row_num, 7, Q7.mean())
sheet.write(row_num, 8, Q8.mean())
sheet.write(row_num, 9, Q9.mean())
sheet.write(row_num, 10, Q10.mean())
sheet.write(row_num, 11, Q11.mean())
sheet.write(row_num, 12, Q12.mean())
sheet.write(row_num, 13, Q13.mean())
sheet.write(row_num, 14, Q14.mean())
sheet.write(row_num, 15, Q15.mean())
sheet.write(row_num, 16, Q16.mean())
sheet.write(row_num, 17, Q17.mean())
book.save('./smp/' + predictName + '.xls')
| [
"11712616@mail.sustech.edu.cn"
] | 11712616@mail.sustech.edu.cn |
817f463578dec04dd4c4938523da72404795d281 | f5b31994dfbe4effa7868557f223952d1a2dc0f6 | /src/mic.py | e648fca6167cfaad255f044ac0b3bb511beb4322 | [] | no_license | jacobsny/hackathon_checkin | 96f39a4f4b55599e214617c439bbc63159a0fcf6 | ff588c8511f4cf496bdf53dee1e534977a6e5a8a | refs/heads/master | 2020-07-29T21:06:08.345970 | 2019-09-22T13:14:05 | 2019-09-22T13:14:05 | 209,959,335 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,423 | py | from __future__ import division
import re
import sys
from google.cloud import speech
from google.cloud.speech import enums
from google.cloud.speech import types
import pyaudio
from six.moves import queue
# Audio recording parameters
RATE = 16000
CHUNK = int(RATE / 10) # 100ms
class MicrophoneStream(object):
"""Opens a recording stream as a generator yielding the audio chunks."""
def __init__(self, rate, chunk):
self._rate = rate
self._chunk = chunk
# Create a thread-safe buffer of audio data
self._buff = queue.Queue()
self.closed = True
def __enter__(self):
self._audio_interface = pyaudio.PyAudio()
self._audio_stream = self._audio_interface.open(
format=pyaudio.paInt16,
# The API currently only supports 1-channel (mono) audio
# https://goo.gl/z757pE
channels=1, rate=self._rate,
input=True, frames_per_buffer=self._chunk,
# Run the audio stream asynchronously to fill the buffer object.
# This is necessary so that the input device's buffer doesn't
# overflow while the calling thread makes network requests, etc.
stream_callback=self._fill_buffer,
)
self.closed = False
return self
def __exit__(self, type, value, traceback):
self._audio_stream.stop_stream()
self._audio_stream.close()
self.closed = True
# Signal the generator to terminate so that the client's
# streaming_recognize method will not block the process termination.
self._buff.put(None)
self._audio_interface.terminate()
def _fill_buffer(self, in_data, frame_count, time_info, status_flags):
"""Continuously collect data from the audio stream, into the buffer."""
self._buff.put(in_data)
return None, pyaudio.paContinue
def generator(self):
while not self.closed:
# Use a blocking get() to ensure there's at least one chunk of
# data, and stop iteration if the chunk is None, indicating the
# end of the audio stream.
chunk = self._buff.get()
if chunk is None:
return
data = [chunk]
# Now consume whatever other data's still buffered.
while True:
try:
chunk = self._buff.get(block=False)
if chunk is None:
return
data.append(chunk)
except queue.Empty:
break
yield b''.join(data)
def listen_print_loop(responses):
"""Iterates through server responses and prints them.
The responses passed is a generator that will block until a response
is provided by the server.
Each response may contain multiple results, and each result may contain
multiple alternatives; for details, see https://goo.gl/tjCPAU. Here we
print only the transcription for the top alternative of the top result.
In this case, responses are provided for interim results as well. If the
response is an interim one, print a line feed at the end of it, to allow
the next result to overwrite it, until the response is a final one. For the
final one, print a newline to preserve the finalized transcription.
"""
num_chars_printed = 0
for response in responses:
if not response.results:
continue
# The `results` list is consecutive. For streaming, we only care about
# the first result being considered, since once it's `is_final`, it
# moves on to considering the next utterance.
result = response.results[0]
if not result.alternatives:
continue
# Display the transcription of the top alternative.
transcript = result.alternatives[0].transcript
# Display interim results, but with a carriage return at the end of the
# line, so subsequent lines will overwrite them.
#
# If the previous result was longer than this one, we need to print
# some extra spaces to overwrite the previous result
overwrite_chars = ' ' * (num_chars_printed - len(transcript))
if not result.is_final:
sys.stdout.write(transcript + overwrite_chars + '\r')
sys.stdout.flush()
num_chars_printed = len(transcript)
else:
return transcript + overwrite_chars
def main(lang):
# See http://g.co/cloud/speech/docs/languages
# for a list of supported languages.
language_code = lang # a BCP-47 language tag
client = speech.SpeechClient()
config = types.RecognitionConfig(
encoding=enums.RecognitionConfig.AudioEncoding.LINEAR16,
sample_rate_hertz=RATE,
language_code=language_code)
streaming_config = types.StreamingRecognitionConfig(
config=config,
interim_results=True)
with MicrophoneStream(RATE, CHUNK) as stream:
audio_generator = stream.generator()
requests = (types.StreamingRecognizeRequest(audio_content=content)
for content in audio_generator)
responses = client.streaming_recognize(streaming_config, requests)
# Now, put the transcription responses to use.
return listen_print_loop(responses)
if __name__ == '__main__':
main('en-US') | [
"jacob.snyderman@gmail.com"
] | jacob.snyderman@gmail.com |
9090a6049a51ef8672151f75d28c7f01c75a1436 | fc3deae46d7104924d9b982638f38eb42eadbb9f | /yrnetwork/setting.py | 0fd31990a155271ff3f6b9b4c0a28ee4958148c9 | [] | no_license | THRILLERLEMON/YR_Greening_Network | 6fc578d4a94bf240b954181d9ea8d1cf18fb172d | 8745679d58c3e459d88524e0afae18e072b18e0a | refs/heads/main | 2023-03-19T00:08:28.187235 | 2021-03-05T13:21:53 | 2021-03-05T13:21:53 | 303,892,090 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 637 | py | class BaseConfig(object):
RESULT_PATH = ''
LUC_NET_DATA_PATH = 'D://OneDrive//JustDo//The_Greening_of_YR_from_the_Perspective_of_Network//Data//LUCNetData//'
LUC_NET_DATA_HEAD = 'InfoForLUCNet'
LUC_NET_DATA_TAIL = '.csv'
GEO_AGENT_PATH = 'E://MY PROGRAM//YR_Greening_Network//data//GeoAgent//ForCartopy//'
COUPLED_NET_DATA_PATH = 'E://MY PROGRAM//YR_Greening_Network//data//Data_for_LAI_Causal//'
COUPLED_NET_DATA_HEAD = 'YR_GA_Info_'
COUPLED_NET_DATA_TAIL = '.csv'
OUT_PATH = 'D://OneDrive//JustDo//The_Greening_of_YR_from_the_Perspective_of_Network//OutPutforLAICausal//'
BACKGROUND_VALUE = -999 | [
"thrillerlemon@outlook.com"
] | thrillerlemon@outlook.com |
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