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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
cb036973b6b10d9a97cf5c01c03aa9f66500336d | 77de000e7d9f11a5c00ec8f6a9502c9c772bbe65 | /paying_for_college/admin.py | c20f0c8dd6e545bd09c7cbbdf82b523da4dd7fad | [
"CC0-1.0"
] | permissive | mistergone/college-costs | 5081ceedfd2bb560adfb6ac412471d79dc3e4b80 | 7fcb9155d23f363d7d1a22da4df8887996c4b8a6 | refs/heads/master | 2021-01-17T07:52:45.351978 | 2016-05-27T18:21:01 | 2016-05-27T18:21:01 | 45,491,267 | 0 | 0 | null | 2015-11-03T19:45:04 | 2015-11-03T19:45:04 | null | UTF-8 | Python | false | false | 1,661 | py | #!/usr/bin/env python
from __future__ import absolute_import
from django.contrib import admin
from .models import School, Program, Alias, Nickname, Contact, Disclosure
from .models import BAHRate, Feedback, Worksheet, ConstantRate, ConstantCap
class DisclosureAdmin(admin.ModelAdmin):
list_display = ('name', 'inst... | [
"higs4281@gmail.com"
] | higs4281@gmail.com |
1ea9b9d12aa2d29c8695d3633efd804228328fd3 | 498fcf34fa4482be5c9fefc488666e60edcf46c7 | /math/0x00-linear_algebra/100-slice_like_a_ninja.py | 528b04754521035294e7fdf6a8121f20db0302c4 | [] | no_license | MansourKef/holbertonschool-machine_learning | 7dbc465def04c311c1afb0e8b8903cbe34c72ad3 | 19f78fc09f0ebeb9f27f3f76b98e7a0e9212fd22 | refs/heads/main | 2023-03-12T16:18:08.919099 | 2021-03-05T09:42:09 | 2021-03-05T09:42:09 | 317,303,125 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 435 | py | #!/usr/bin/env python3
"""
np_slice.
"""
def np_slice(matrix, axes={}):
"""Slices a matrix."""
len_dic = len(axes)
args = []
list_axes = []
max_val = max(axes.keys())
for j in range(max_val + 1):
list_axes.append(j)
for i in list_axes:
if i in axes.keys():
sl =... | [
"2798@holbertonschool.com"
] | 2798@holbertonschool.com |
bfa9ffcb67ecb8f3f11b99354fea28007c4a8464 | 1c4d4c4d42bdb189876c15bf6f2fb654915a1689 | /aa_pairs.py | a70efb000ae72311f66b7f355732287f874f2255 | [
"MIT"
] | permissive | aislinnm12/learning_python | b977b2a227539c20fe68d215bc791960868a939b | 54125180f405a92c9778eb19ac42c013f51d67c4 | refs/heads/main | 2023-05-17T16:55:13.775461 | 2021-06-03T23:03:35 | 2021-06-03T23:03:35 | 353,085,409 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,111 | py | #!/usr/bin/env python3
# Print out all the unique pairwise amino acid combinations
# AC is the same as CA
# Skip AA, CC etc.
# Also print out how many combinations there are
alphabet = "ACDEFGHIKLMNPQRSTVWY"
import itertools
for i in itertools.combinations(alphabet, 2):
print(i[0], 1[1])
count += 1
print(count)
"... | [
"aislinnmcmahon@Aislinns-MacBook-Air.local"
] | aislinnmcmahon@Aislinns-MacBook-Air.local |
fa5c18b71f9d7bcdcbbf8653f4a68492204a16b0 | 2c3186992507ab0eb104ee9e281d2af9c08a914c | /webservice/samples/clients/python/settings.py | 093ee5b83bc9446550257c861806fdc0834a7187 | [] | no_license | fatty-/daisy-pipeline | 946fba4a267f2e0f08b94c6906f7115e6c0af76d | 94a60429a418a92af35d2a9b63b9fd87facb45d5 | refs/heads/master | 2021-01-16T00:56:49.456948 | 2012-12-19T19:24:51 | 2012-12-19T19:24:51 | 39,065,607 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 246 | py | """Global settings"""
TIMEOUT_SECONDS = 100
BASEURI = "http://localhost:8181/ws"
PX_NS = "http://www.daisy.org/ns/pipeline/data"
JOB_NOTIFY_MESSAGES = "http://localhost:8080/ws/jobmessage"
JOB_NOTIFY_STATUS = "http://localhost:8080/ws/jobstatus"
| [
"marisa.demeglio@gmail.com"
] | marisa.demeglio@gmail.com |
da395c5baf505dd2c85899caa66af04c2d72a538 | bc1ea338abeeecef764a2f2467ef4ce266622cc5 | /spiral_matrix.py | bb44b882265f52553125e5f7247bb6fcbb10f8ad | [] | no_license | aliciavissuet/leetcode | d1a5fbdb7e5e6fc8afc967e363f8d56ee53d6f71 | c7bbd287fce55b982b7b41dc33b39953d80f41a0 | refs/heads/master | 2020-05-04T11:09:24.730208 | 2019-04-12T05:45:58 | 2019-04-12T05:45:58 | 179,102,042 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 874 | py | def spiralOrder(self, matrix: List[List[int]]) -> List[int]:
result = []
while len(matrix) > 0:
#get first row
first_row = matrix.pop(0)
result += first_row
#get last col
for row in range(len(matrix)):
try:
... | [
"aliciavissuet@gmail.com"
] | aliciavissuet@gmail.com |
36d55ad1789df5d8a264a3c8b0327beb9ac63d28 | 71c65a2b99a3a7f4cfaf3af7039fd5af1da80437 | /local/offline.py | c7f0d99e7e2b030c6ee5da76099ee07aac23f5b0 | [] | no_license | neuralinterfacinglab/closed-loop-seeg-speech-synthesis | 1419b0ff48c66c9679a4812a7d13bb8f2b154e4c | f80da4527490d7c172a9d29d86480f9e47cb30b9 | refs/heads/master | 2023-06-25T07:26:16.645423 | 2021-07-30T08:43:57 | 2021-07-30T08:43:57 | 414,936,812 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 11,284 | py | import numpy as np
import scipy
import scipy.signal
import local.MelFilterBank as mel
from local.utils import suppress_stdout
import mne
from scipy.stats import pearsonr
from scipy.signal.windows import hann as hanning
from sklearn.model_selection import KFold
def herff2016_b(eeg, sr, window_length=0.05, window_shift... | [
"s_62ydc2@uni-bremen.de"
] | s_62ydc2@uni-bremen.de |
719ace7a500e2ae03f5085c9e039d764c2bd91d6 | 19f095a94b1adf1e3deabba1128d30c66a643cbf | /death_utils.py | 376b1e09d60d82a2d5898c0678ea680508d61134 | [] | no_license | dovinmu/death_utils | 53d3684871c3e872620116f1883c0d304de3acf9 | e5abbea8c933f518e3f0b6e3b3b2888d8a817d79 | refs/heads/master | 2020-12-24T16:23:53.175258 | 2016-03-18T04:48:32 | 2016-03-18T04:48:32 | 38,131,109 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 16,036 | py | '''
Datasets came from whatever generous person made this website: http://ssdmf.info/
'''
bnames = None
dnames = None
def get_dmf(num=1):
'''Load the specified subfile of the Death Master File into memory as a list.'''
dmf = []
count = 0
with open('ssdm' + str(num), 'r') as f:
for item in f:
... | [
"dovinmu@gmail.com"
] | dovinmu@gmail.com |
d4e3ee7c168ed5040d94f700a43f6c68d9c1a138 | 139af68b78734a6bc53bd942ffa05476baf3d71d | /PYTHON OOP/TESTING/Labs/Lab_tests/person_test_1.py | cf0380641466bfbfc54561a972c3b5ad046b7f8f | [] | no_license | MiroVatov/Python-SoftUni | 7fe3fc0a3928848c5317fb120f789c773bfc117e | 0d0d6f116281b4de8c413d254386e27d992d047b | refs/heads/main | 2023-08-24T09:44:31.261137 | 2021-10-18T14:04:03 | 2021-10-18T14:04:03 | 317,510,574 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 615 | py | import unittest
from demo_2.solution_1 import Person
class PersonTests(unittest.TestCase):
def setUp(self):
self.person = Person("Luc", "Peterson", 25)
def tearDown(self):
self.person = None
def test_get_full_name(self):
result = self.person.get_full_name()
expected_resu... | [
"mirovatov@gmail.com"
] | mirovatov@gmail.com |
7f2c089465d69d06d084c109ad84d7088060ca5d | cad35dc744779798138015c7b0d674e5784a0d68 | /BOT/fakeSMTP-latest/received-emails/received-emails/regex.py | 9049bc5e3579432a69996f8e0791b00ea3395e1c | [] | no_license | snsubir1997/BOT | ae2867fb064f48ffa918b28d85fac74963dd6865 | 6e94d16e64c546fdec149a56842e5b0978fa8cc6 | refs/heads/master | 2021-05-09T13:03:37.447172 | 2018-02-18T05:08:33 | 2018-02-18T05:08:33 | 119,022,769 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 17,813 | py | #CLIENT TO SYSTEM MAIL
#!/usr/bin/python
import smtplib
import re
import os
import time
sender = 'sn.subir1997@gmail.com'
receivers = ['coolsubir1997@gmail.com']
message = """From: SN <coolsubir1997.com>
To: To Person <sn.subir1997.com>
Subject: Regarding leave due to emergency.
Respected Sir, this is to inform you... | [
"sn.subir1997@outlook.com"
] | sn.subir1997@outlook.com |
e366bc13803422c14f98bd569c6808943f20d8ee | d3a582fcaebf7a16127b1b02c20643aa4ffb737b | /speedreport.py | 6bd912600862bfaabdab552ca665d553e0595916 | [] | no_license | zonar-systems/Python | 550a0847bf5e1962c4471fb49348ed098aae75b5 | bfa24b1183d6dbf5255bafff3cbaa67453e7b20c | refs/heads/master | 2021-01-10T01:48:12.564996 | 2015-11-23T19:05:28 | 2015-11-23T19:05:28 | 46,512,956 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 495 | py | # python3 required. urlib2 was combined in v3 with urllib.
import urllib.request
# build request string
response = urllib.request.urlopen(
'https://qa1.zonarsystems.net/interface.php?username=&password=&action=showposition&operation=speed&format=xml&customer=9944&fromdate=1141397988&todate=1141398000&vers=2')
# r... | [
"rmossuto@outlook.com"
] | rmossuto@outlook.com |
f075cc1e44d0b6fd06f17ced75db1a58d65295bb | cb9d709f66be57938781a43fee428180418732f4 | /wordcount/settings.py | 43624ccdc3874e9550a67d358d8f9065b6a28138 | [] | no_license | qwerlancer/wordcount-project | 7ea1c0ea19fa33ced8b951bafc00f4cb812a3a03 | cbae3fdc070578f07263c0f097579f597689a09c | refs/heads/master | 2020-03-29T09:23:41.770513 | 2018-09-21T12:03:12 | 2018-09-21T12:03:12 | 149,755,987 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,108 | py | """
Django settings for wordcount project.
Generated by 'django-admin startproject' using Django 2.1.1.
For more information on this file, see
https://docs.djangoproject.com/en/2.1/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/2.1/ref/settings/
"""
import os
... | [
"qwer12421@gmail.com"
] | qwer12421@gmail.com |
7379ddf6460cf8ab6e080cce17dce051db5d4bee | 549472447e82e0a25e9f388326484c8e2000173e | /NanoAOD/config/config_v1/Config_21_4_1.py | 0ef6d3fc1ec0e089c788729220914200cca72540 | [] | no_license | gqlcms/Check_B2G_VV_temp | 0968a052089aa7e2e5d6a4c14e04ba58c9178fbb | d568dd963a6a5023500e3603189a3e53556db7cf | refs/heads/master | 2023-04-04T06:49:37.515875 | 2021-04-16T09:01:43 | 2021-04-16T09:01:43 | 358,537,423 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,243 | py | self.CreateBranch_Templete ={
'single' : 'ana.tx.createBranch<{0}> ("{1}");',\
'vector' : 'ana.tx.createBranch<vector<{0}>> ("{1}");',\
}
self.FillBranch_Templete = {
'vector':'ana.tx.pushbackToBranch<{0}>("{1}", nt.{2}()[{3}]);',\
'single':'ana.tx.setBranch<{0}>("{1}",... | [
"qilong.guo@cern.ch"
] | qilong.guo@cern.ch |
a44f913b2b3dfe6e31cbba513045c3cd8023fcdb | d701f3b0a85f22cc0551ae1d2bfd4b37aed8724b | /gen-py/user_profile/test_client.py | c34736f13c6bdea746a0291623b8109fcb404a8c | [] | no_license | truncs/thrift-example | 8eb9bec53134d793ddc10df0233c4fbbdaad93a0 | 8995496bc5d49093116c4f9103959e5f7b92131a | refs/heads/master | 2016-09-06T21:37:49.620798 | 2013-10-22T20:33:18 | 2013-10-22T20:33:18 | 13,763,648 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 587 | py | from thrift.transport import TSocket
from thrift.transport import TTransport
from thrift.protocol import TBinaryProtocol
from ttypes import UserProfile
import UserStorage
transport = TSocket.TSocket("localhost", 9090)
# Buffering is critical. Raw sockets are very slow
transport = TTransport.TFramedTransport(transpor... | [
"aditya@uber.com"
] | aditya@uber.com |
7c471625541b733f36856a2d6b99e6fce6e7cd04 | 1694e5db78ed6adf38a407b2d84c49a0723fa934 | /tutablr_app/migrations/0001_initial.py | 5b840e2896f7309ede9718b797a9a2ec2314d4c1 | [] | no_license | bidhanvaidya/Tutablr | cf88fe89d702661aace4c8ccf5f175c1ed5da0ca | 07fb26c6487562f690959e2eb0f35e121e12ce0f | refs/heads/master | 2021-01-19T07:39:08.818101 | 2012-10-25T08:15:59 | 2012-10-25T08:15:59 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 320 | py | # -*- coding: utf-8 -*-
import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
pass
def backwards(self, orm):
pass
models = {
}
complete_apps = ['tutablr_app'] | [
"ashwinramesh92@hotmail.com"
] | ashwinramesh92@hotmail.com |
5666f9c55f3024b927bcbc8e0fdb60ceb72db8de | 12485bb945ab8af6ff6a5f3d9d4c542a7bcf95f8 | /server/src/uds/services/Xen/xen_client/__init__.py | 8c47e66b14c2d59e66552db5c9142effdefdc5b3 | [] | no_license | morfeuj/openuds | 6ef0c4bed624def0090efa6abdd2600b9be81a8b | 26e429019e5fe5b01ee1a476c879d8f8333b0ab0 | refs/heads/master | 2020-12-15T15:11:33.598430 | 2020-01-20T16:42:33 | 2020-01-20T16:42:33 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 20,495 | py | # -*- coding: utf-8 -*-
#
# Copyright (c) 2014-2019 Virtual Cable S.L.
# 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 notic... | [
"dkmaster@dkmon.com"
] | dkmaster@dkmon.com |
25b6963dcf868790e9f87ce2967f5a3f2a951c6f | f4065bf6dc0f42a802ffbe7a13dff2628d357144 | /main.py | bb592bf7d31652370bf3e2b5cf25a7e9c7014822 | [] | no_license | paulbygrave/cert-slayer | 40cdc106729b5fdedbfe9073efccc0534e4831c0 | ecb4edaa776739bc581905836ce0d925b8b0cefc | refs/heads/master | 2020-08-07T10:45:49.507423 | 2019-10-10T15:17:02 | 2019-10-10T15:17:02 | 213,417,789 | 0 | 0 | null | 2019-10-10T12:19:04 | 2019-10-07T15:19:25 | Python | UTF-8 | Python | false | false | 12,884 | py | from classes.colours import bcolors
from classes.battle import Character
from classes.magic import *
from classes.inventory import *
from assets.storytext import intro_text, quest_text, epilogue_text, end_credits
from assets.logos import *
import random
import sys
# # Print the prologue
intro_text()
# # Print the lo... | [
"paulrpbygrave@gmail.com"
] | paulrpbygrave@gmail.com |
ac95e55e51e4a45b5d32403509d34f501b77358a | bacaf5520a381b9043fc8003a3b5e970f055a0b7 | /Software/utils.py | a8ef8bc95066e8b268c25d48c7c91021859c9e1a | [] | no_license | hemjyoti/MI-MPC | 494900afd31e69e8677fef8c389fd5af70f30741 | 703b93b02b952434defd08d30fd3f29060c82630 | refs/heads/master | 2023-03-07T09:59:41.276419 | 2021-02-22T12:51:55 | 2021-02-22T12:51:55 | 341,198,821 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 40,872 | py | import numpy as np
from typing import Sequence
import matplotlib.pyplot as plt
from matplotlib import rc
from matplotlib.gridspec import GridSpec
from mpl_toolkits.mplot3d.axes3d import get_test_data
# This import registers the 3D projection, but is otherwise unused.
from mpl_toolkits.mplot3d import Axes3D # noqa: F40... | [
"hemdu23@gmail.com"
] | hemdu23@gmail.com |
f4bfb83c2408bd57b3ce899378717e5b6fe39407 | 5552380060fd8be832a61d1cc4020c16dde40452 | /home/migrations/0004_bank_branch_file.py | 244237a150562d68ccb2eac9f7f5cf4d1998f799 | [] | no_license | rayhancse08/LawChamber | a1f4121a911d92cdf7cd4c885767b2080fa5fbb0 | 40f2306d50bc9c2d2b7c08b44e527ab45a7dc756 | refs/heads/master | 2021-09-10T06:32:48.473590 | 2018-03-21T16:12:58 | 2018-03-21T16:12:58 | 125,860,987 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,087 | py | # Generated by Django 2.0.3 on 2018-03-19 13:31
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('home', '0003_contact'),
]
operations = [
migrations.CreateModel(
name='Bank',
field... | [
"rayhancse08@gmail.com"
] | rayhancse08@gmail.com |
cee59d6f621e33b97ad0d92b13d623a6e7b75408 | 666f609658266a87bb3c1fb78c23a3c9b5ea30e0 | /Lab_4/lab 4.py | c03a89842aa83518d24e8bc512a35ab1e54cf532 | [] | no_license | Quindeci/MOPE1 | e679eb1a534dc4a01575ab7d36d4c6e780f43a5c | f347af09684d010390ec9cb752b80ce3467ffdff | refs/heads/main | 2023-05-27T23:10:54.515939 | 2021-06-19T19:49:15 | 2021-06-19T19:49:15 | 363,998,532 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 11,174 | py | import random
import numpy as np
import sklearn.linear_model as lm
from scipy.stats import f, t
from numpy.linalg import solve
def regression(x, b):
y = sum([x[i] * b[i] for i in range(len(x))])
return y
def dispersion(y, y_aver, n, m):
res = []
for i in range(n):
s = sum([(y_aver[i] - y[i... | [
"zzzkiritozzzzzzz@gmail.com"
] | zzzkiritozzzzzzz@gmail.com |
efa9169a5663a0c34cd035eaf9a6c8eb588d6625 | 0485a490f466bd1d02eaae96d277888781208c0e | /tests/single_instruction_translation_validation/mcsema/register-variants/xaddb_r8_r8/Output/test-z3.py | 0f72e6bf891b173f5c8d4ce6b1ee4ac725000960 | [
"LicenseRef-scancode-unknown-license-reference",
"NCSA"
] | permissive | Mthandazo42/validating-binary-decompilation | c0e2d54cd79e609bfa35802975bddfa52e646fad | c0fcd6f099e38195dcbbac9e8c13a825865c5cb5 | refs/heads/master | 2022-11-11T13:18:13.033044 | 2020-06-25T05:49:01 | 2020-06-25T05:49:01 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 24,327 | py | #############################################
######## Auto Generated Proof Scripts #######
#############################################
import z3
import sys
status=True
test_name="UnK"
if(len(sys.argv) > 1):
test_name = sys.argv[1]
def solve(msg, lvar, xvar, s):
global status
s.set("timeout", 60000)
res =... | [
"sdasgup3@illinois.edu"
] | sdasgup3@illinois.edu |
fc46327b637817362b96ebdbbc1b23c06a9c6cc4 | 4a3ca3bd0e371cdd6e24a8b8a0769c3e25539b40 | /test/ntust/meal/eat/migrations/0002_auto_20180608_1549.py | 3a1c75d5a28dff01cfbf8f480c1a7ffb659092fe | [] | no_license | NTUST/107-team12 | d63b3d48d31413ec5342e6398630c8157ce92ce4 | d92ee5ca8a5d5471f8ea9c35ddd71551eaae1207 | refs/heads/master | 2022-11-23T22:21:34.496145 | 2018-06-11T01:57:11 | 2018-06-11T01:57:11 | 123,248,423 | 0 | 1 | null | 2022-11-03T04:22:46 | 2018-02-28T07:45:07 | Python | UTF-8 | Python | false | false | 373 | py | # Generated by Django 2.0.5 on 2018-06-08 07:49
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('eat', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='restaurant',
name='votes',
fi... | [
"claire0230025@gmail.com"
] | claire0230025@gmail.com |
17d6e1584f491e8f5ffd92347535889c77e41139 | 8b68ab8567bfb36b310135a293b68b08f999e4a9 | /Ch06ProjTablePrinter01.py | eabbc18990a3c26ca5095f0da8e343655ff019ef | [
"BSD-2-Clause"
] | permissive | steveayers124/AutomateTheBoringStuff | 544faa8ddb212132462bc215e37303b3b6e252d0 | 9bb9190fab0bc81d7acc8f90e1d162af961d6048 | refs/heads/master | 2020-06-07T07:55:28.080508 | 2019-08-22T14:41:19 | 2019-08-22T14:41:19 | 192,966,807 | 0 | 0 | null | 2019-06-25T15:18:24 | 2019-06-20T18:11:55 | Python | UTF-8 | Python | false | false | 1,352 | py | #! python3
# Given a list of a list of strings, each inner list having the same number of items,
# display all this in a well-organized table, having each column right-justified.
# Example:
# tableData = [['apples', 'oranges', 'cherries', 'bananas'],
# ['Alice', 'Bob', 'Carol', 'David'],
# ['d... | [
"steveayers124@gmail.com"
] | steveayers124@gmail.com |
5ca7bb44464eb2b8bc4a97eed49157497214cee6 | aced407b41f6669f69e9eb8bd599260d50c0bd3f | /server/libs/top/api/rest/TaobaokeItemsDetailGetRequest.py | 13b1b69b497043b5f31870c254d245496fe97a64 | [] | no_license | alswl/music_sofa | 42f7d15431f11b97bf67b604cfde0a0e9e3860cc | c4e5425ef6c80c3e57c91ba568f7cbfe63faa378 | refs/heads/master | 2016-09-12T18:37:34.357510 | 2016-05-20T11:49:52 | 2016-05-20T11:49:52 | 58,946,171 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 472 | py | '''
Created by auto_sdk on 2013-11-07 12:53:22
'''
from top.api.base import RestApi
class TaobaokeItemsDetailGetRequest(RestApi):
def __init__(self,domain='gw.api.taobao.com',port=80):
RestApi.__init__(self,domain, port)
self.fields = None
self.is_mobile = None
self.nick = None
self.num_iids = None
self.ou... | [
"alswlx@gmail.com"
] | alswlx@gmail.com |
05b743ce281ac33fb022e5863f590c58b54543bb | ed21529844d95422e3375b7fe51f7775ab6c751c | /lkliondjango/oldman_blog_project/oldman_blog_project/asgi.py | 924b4fbd169cc587b8b1e0ae8d5108f2db2d975b | [] | no_license | wlight96/likelionworkspace | d842af8b269fe72314508e1a99eb94cce70b659b | 6634efd0105a0e93750b7a695f39907683257b32 | refs/heads/main | 2023-06-24T08:19:38.859740 | 2021-07-14T07:37:38 | 2021-07-14T07:37:38 | 366,376,720 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 415 | py | """
ASGI config for oldman_blog_project 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/3.2/howto/deployment/asgi/
"""
import os
from django.core.asgi import get_asgi_application
os.environ.setdefault('... | [
"wlight96@naver.com"
] | wlight96@naver.com |
47eccdae8acbd25874bd94626617616ed0ee61fe | 5fdcf15f818eb2d0c7b5dd39443064d5bc42aff9 | /lc_reorganizing_string.py | 8ab639672dbe010d9b0fc8e9842a0ca17c1438dc | [] | no_license | vincentt117/coding_challenge | acf3664034a71ffd70c5f1ac0f6a66768e097a6e | 5deff070bb9f6b19a1cfc0a6086ac155496fbb78 | refs/heads/master | 2021-07-02T05:43:08.007851 | 2020-08-27T02:16:19 | 2020-08-27T02:16:19 | 146,027,883 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 886 | py | # Optimal solution retrieved from Leetcode - https://leetcode.com/problems/reorganize-string/
class Solution:
def reorganizeString(self, S: str) -> str:
pq = [(-S.count(x), x) for x in set(S)]
heapq.heapify(pq)
if any(-nc > (len(S) + 1) / 2 for nc, x in pq):
return ""
a... | [
"vincentt117@gmail.com"
] | vincentt117@gmail.com |
9ca6d92b19008f566d7bad5323b3263b78cd3d47 | 09e0efb05c9cd29c7aa4301cec7fb95d24d2bdc2 | /nionui_app/nionui_examples/ui_demo/StatusBar.py | 99f1fd1396a4fbf0ae59bae7916bfa90a1e1e115 | [
"Apache-2.0"
] | permissive | AEljarrat/nionui | 4c452037f7e3ee6710c19b18afeb45e35e9ec361 | 3714a54d56f472a8a0f7b9f8a8240103ca790374 | refs/heads/master | 2022-11-30T19:54:10.714060 | 2020-08-06T21:37:47 | 2020-08-06T21:37:47 | 286,014,692 | 0 | 0 | NOASSERTION | 2020-08-08T09:40:31 | 2020-08-08T09:40:30 | null | UTF-8 | Python | false | false | 686 | py | from nion.utils import Model
class Handler:
slider_value_model = Model.PropertyModel(50)
def reset(self, widget):
self.slider_value_model.value = 50
def construct_ui(ui):
label = ui.create_label(text="@binding(slider_value_model.value)")
button = ui.create_push_button(text="Reset to 50",... | [
"cmeyer1969@gmail.com"
] | cmeyer1969@gmail.com |
0e1ef1f8754a256009137ccd90ba7bcef7730e98 | 71e2c08ee2df6104522f06a173d4445abc7e2f82 | /createandupload_mvt.py | 85a5ac48687917fd597f2a7b61dfbfb943999a18 | [] | no_license | GeographicaGS/mapbox-mvt-helpers | 5f3f3750ab3922bb287fd01977b98c8af970c9ca | 61059a79c7848162cb7ff1a05bf6628277befabc | refs/heads/master | 2021-01-19T11:21:50.279523 | 2018-01-16T17:43:06 | 2018-01-16T17:43:06 | 87,959,595 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,255 | py | #
# Author: Cayetano Benavent, 2017.
# https://github.com/GeographicaGS/mapbox-mvt-helpers
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# (at your ... | [
"cayetano.benavent@geographica.gs"
] | cayetano.benavent@geographica.gs |
a35aa60f59bebb4861691d0b50e50090c5e43684 | 26b8b7da6f5b1e1767155138d69782827b8dadaa | /python/twitter/connecttwitter.py | dd40769a76499bb9c3b35ff3991d54ab6c6f664a | [] | no_license | hyunghunny/asdl-playground | 84d744e95f41489b44155210efbe82a33375881b | a84bf358eaade8939e48e124d25c921be0dea0f4 | refs/heads/master | 2021-01-19T15:34:00.067047 | 2015-03-18T08:25:51 | 2015-03-18T08:25:51 | 32,057,357 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 318 | py | # Social Computing Tutorial #1
# First Twitter Connection
# Copyright (C)
import twitter
import credential
auth = twitter.oauth.OAuth(
credential.getOAuthToken(),
credential.getOAuthSecret(),
credential.getConsumerKey(),
credential.getConsumerSecret())
twitter_api = twitter.Twitter(auth=auth)
print twitter_api | [
"hyunghunny@gmail.com"
] | hyunghunny@gmail.com |
97c63ac9e665a2d66342e42e241c92b0489a2ee3 | 18d51ac0a6ca14c8221c26f0dacd8d3721ca28e9 | /73_hun.py | 5a18a272bbd749e2a12f95c01d715dc788f4067d | [] | no_license | mahakalai/mahak | 05f96d52880ed7b2e5eb70dd1dbf14fc533236e8 | 613be9df7743ef59b1f0e07b7df987d29bb23ec7 | refs/heads/master | 2020-04-15T05:01:58.541930 | 2019-07-15T16:28:32 | 2019-07-15T16:28:32 | 164,406,486 | 0 | 2 | null | null | null | null | UTF-8 | Python | false | false | 176 | py | s=input()
s1=input()
l=[]
if s==s1:
print(s)
else:
for i in range(0,len(s)):
for j in range(i+1,len(s)):
k=s1[i:j]
if k in s:
l.append(k)
print(max(l, key=len))
| [
"noreply@github.com"
] | noreply@github.com |
ad38656e01d8b7af25583df1759432cb561cbe06 | 3ae13e6d49a549598f7de303630cc5dcd85edb67 | /manage.py | 1da5ae32e92c0060f4504dfdfa5f244678fe22c9 | [] | no_license | fanlion/dream_blog | 03e2b73ad463a841f3a5a1b2ace75ba34e7b2736 | bdcfb2d8786ae522d955e2c497021c60c2804eb7 | refs/heads/master | 2022-12-11T02:56:17.590091 | 2018-02-27T07:34:54 | 2018-02-27T07:34:54 | 93,694,858 | 6 | 1 | null | 2022-12-07T23:59:01 | 2017-06-08T01:28:38 | Python | UTF-8 | Python | false | false | 808 | py | #!/usr/bin/env python
import os
import sys
if __name__ == "__main__":
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "dream_blog.settings")
try:
from django.core.management import execute_from_command_line
except ImportError:
# The above import may fail for some other reason. Ensure that t... | [
"fan.li@changhong.com"
] | fan.li@changhong.com |
f442a8f384330fe844ce830763e3fb4134cb9238 | d46e6ecd926ebcdfdf47c1ca2f13f8d4f7b11f06 | /Messages/migrations/0001_initial.py | ab07537ead78c25997f8c5b00f2fe82771c1be8c | [
"MIT"
] | permissive | gordiig/Swimple-Server | a23b62e119e998d5238a5b601232d59ae0c34d00 | 5181b51a7809ab6868f87129b6a4e1efaf779f6f | refs/heads/master | 2020-04-10T16:11:11.175502 | 2018-12-10T08:22:31 | 2018-12-10T08:22:31 | 161,136,428 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,063 | py | # Generated by Django 2.1.4 on 2018-12-10 07:51
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
ope... | [
"gordiig@gmail.com"
] | gordiig@gmail.com |
830deb8c085adda6c6f247353257bb26a505967b | c0997d6da33a0821b35e7b9b2b2e60f6b8ab252c | /IT 14/14.1.py | 7b601217d0ef96e0b59af8cd8fd6551524e35e0a | [] | no_license | GeorgeGalaxy/IT_PY_2021_05 | 2015d7282cc083a4871d6441db577841c6ea9285 | 160130c4709e24f298eefabf1d75eb10ff0a7140 | refs/heads/main | 2023-05-03T08:30:34.538408 | 2021-05-26T17:17:55 | 2021-05-26T17:17:55 | 371,113,184 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 291 | py | print("Galaktionov "+" George"+" BASO-01-19")
number_1 = float(input("Enter number 1: "))
number_2 = float(input("Enter number 2: "))
summ_1_and_2 = number_2 + number_1
print(f"Summ = {summ_1_and_2}")
x = float(input("Enter x: "))
funct1 = x**5 - 2*x**3 + 1
print(f"Func = {funct1}") | [
"georg1506@mail.ru"
] | georg1506@mail.ru |
0900e25488befc06a072f8331763d920546e11f0 | 4c67b3913ff451841d2877a57e201d926b44c177 | /video_bylenth.py | d9e61f9218655a4e14c3c50997234b929cbdf195 | [] | no_license | notalent01/oms_test | 9dacc67266d6d9aa1fbe225eeaf35dad37f7ace5 | b12f31706a19b44754615b3b0dd25214b1c78b73 | refs/heads/master | 2021-01-15T18:00:01.423019 | 2017-08-17T07:05:29 | 2017-08-17T07:05:29 | 99,770,750 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,003 | py | #-*- coding:utf-8 -*-
import requests
import login_oms
import re
import sys
import datetime
from bs4 import BeautifulSoup
expectd_len = float(sys.argv[1]) #接受输入参数
expectd_min = expectd_len - float(sys.argv[2]) #接受最小范围
expectd_max = expectd_len + float(sys.argv[3]) #接受最大范围
pageSize = int(sys.argv[4])
name_list = [] # ... | [
"chriswangs@pptv.com"
] | chriswangs@pptv.com |
c1c2f08f213c1883d5c0d7e36a037127caeebd14 | 29ab920cf5c02ca6351e1c98824b8ebdb08933b0 | /src/core/models.py | d6b1641b0977a3f01e92bd8e2d76097fcb2dff09 | [
"MIT"
] | permissive | yordan-marinov/su_dj_todo_app | 237c8a14c17d349a75a437ab810c396269d3b571 | 34adcf3c17fcda30e57d76099780d0cf5f3f0fe6 | refs/heads/main | 2023-05-15T12:05:08.948196 | 2021-06-16T08:01:03 | 2021-06-16T08:01:03 | 375,369,149 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 531 | py | from django.db import models
from django.contrib.auth.models import User
# Create your models here.
class Task(models.Model):
user = models.ForeignKey(User, on_delete=models.CASCADE, null=True, blank=True)
title = models.CharField(max_length=120)
description = models.TextField(null=True, blank=True)
... | [
"jordanmarinov8@gmail.com"
] | jordanmarinov8@gmail.com |
21e0a4a5c520b5364f7115b1ed1387993123f14b | bea2c1ad58a1d45705ba8f9e4527e4ffac4969cb | /sfepy/discrete/parse_regions.py | c0b71f0ee8b1d0bc7fd05dcd16232c367e61ac0b | [
"BSD-3-Clause"
] | permissive | fethio/sfepy | 8423e9083e3144e1fd97d24c31eda1646167ff5b | 78efe51d6038dc92f5bfeac4c57614746fe28117 | refs/heads/master | 2021-01-16T20:59:29.459626 | 2016-07-01T15:06:11 | 2016-07-01T15:06:11 | 61,715,917 | 1 | 1 | null | 2016-07-01T15:06:11 | 2016-06-22T12:06:07 | Python | UTF-8 | Python | false | false | 6,738 | py | """
Grammar for selecting regions of a domain.
Regions serve for selection of certain parts of the computational domain
represented as a finite element mesh. They are used to define the boundary
conditions, the domains of terms and materials etc.
Notes
-----
History: pre-git versions already from from 13.06.2006.
"""... | [
"cimrman3@ntc.zcu.cz"
] | cimrman3@ntc.zcu.cz |
1f139cc7860e6b6a2ccf91630684bc4cc2032544 | cfb599cdf099c5c7b0d476b4e6f19c887fe584b6 | /scrapy_spider/MovieComment/MovieComment/MovieComment/spiders/CommentsCorpusSpider.py | ebe85dc1e865b078f6157fa9c52dfe1bc6b7c2b8 | [] | no_license | kakayuw/Sentiment-Analysis-Based-on-Douban-Movie-Critics | bc2ada9ec3e36690976c5dccbe13bb27a4a6407b | 7be32dd5fdd8007f4922220d75e6844b502762a0 | refs/heads/master | 2021-07-12T10:19:09.163470 | 2020-07-04T03:50:53 | 2020-07-04T03:50:53 | 162,956,843 | 9 | 5 | null | null | null | null | UTF-8 | Python | false | false | 2,852 | py | import csv
import os
import re
import time
import jieba
import scrapy
class MovieCommentSpider(scrapy.Spider):
# 爬虫唯一标识符
name = 'CommentCorpus'
# 爬取页面地址
base_url = 'https://movie.douban.com/j/search_subjects?type=movie&tag=' \
'%E7%83%AD%E9%97%A8&sort=recommend&page_limit=20&page_star... | [
"yuhang012@sjtu.edu.cn"
] | yuhang012@sjtu.edu.cn |
e678647f567f69e613f9801f9ae2ac7ac80e1659 | de24f83a5e3768a2638ebcf13cbe717e75740168 | /moodledata/vpl_data/63/usersdata/185/30193/submittedfiles/swamee.py | cf9c5669d5d51a92ee3a60133f07bc131b3da0cc | [] | 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 | 352 | py | # -*- coding: utf-8 -*-
import math
#COMECE SEU CÓDIGO AQUI
f=float(input('digite f:'))
L=float(input('digite L:'))
Q=float(input('digite Q:'))
DeltaH=float(input('digite DeltaH:'))
V=float(input('digite V:'))
g=9.81
E=0.000002
D=((8*f*L*(Q*Q))/((math.pi**2)*g*DeltaH))**1/5
Rey=(4*Q)/(math.pi*D*V)
K=0.25/(math.log10((E... | [
"rafael.mota@ufca.edu.br"
] | rafael.mota@ufca.edu.br |
16afd9ce21d2dba67e85bb80f5d5278878afce2e | 6296c3f5128f4c82d8f85708bb6e98b3c5e2addd | /task1/main.py | e5b313285988faf80cb1c71a32792223ba53b249 | [] | no_license | gblazq/qosf-fall-2020-st | 2f36ed752fb546f7fd9b7421c8fc70adacb8699d | dd9b8aee03604fc2018ad92c113a9937d544294d | refs/heads/master | 2022-12-19T06:42:17.440823 | 2020-09-21T21:31:59 | 2020-09-21T21:31:59 | 296,953,251 | 3 | 1 | null | null | null | null | UTF-8 | Python | false | false | 3,820 | py | #!/usr/bin/env python3
import argparse
import logging
import sys
from exitstatus import ExitStatus
import numpy as np
from scipy import optimize
from qiskit import Aer
from qiskit.quantum_info import random_statevector
from task1.circuit import build_circuit
from task1.optimizer import objective_function
# Define a... | [
"guilleblazquez+github@gmail.com"
] | guilleblazquez+github@gmail.com |
93d70c998b5ffa9aa7583bfab766cfc5b0a7927b | bc82de9237a6aa28fd7623a27b35c02ae8416702 | /allennlp/modules/seq2seq_decoders/decoder_net.py | aa73863dd2f546fc9ee2b7c5a40ada2af3ff2e00 | [
"Apache-2.0"
] | permissive | Snnzhao/GrailQA | 78190a8a5bae934c07f4035786f658ef4764c510 | e89e66380402e51bac56f59c7d24d4400bcd11b6 | refs/heads/main | 2023-04-26T19:49:21.683922 | 2021-04-11T09:40:34 | 2021-04-11T09:40:34 | 370,937,323 | 1 | 0 | Apache-2.0 | 2021-05-26T07:00:21 | 2021-05-26T07:00:20 | null | UTF-8 | Python | false | false | 4,117 | py | from typing import Tuple, Dict, Optional
import torch
from allennlp.common import Registrable
class DecoderNet(torch.nn.Module, Registrable):
# pylint: disable=abstract-method
"""
This class abstracts the neural architectures for decoding the encoded states and
embedded previous step prediction vectors... | [
"gu.826@cse-cnc196739s.coeit.osu.edu"
] | gu.826@cse-cnc196739s.coeit.osu.edu |
9df46ecf280ec9b0f935a81e7ed92bb330202dc3 | baace6d0e857655f41b509c90280a4fe749f12c4 | /twitchy.py | 701163c0d8586ecfd2897b780186597ab6fd89a6 | [
"MIT"
] | permissive | andrewalexander/hon_bot | 5981177997e164ca0dc223da5428ad982cd0348c | d1503b7f09891830b365fb37cc01afcbc0dbe967 | refs/heads/master | 2016-09-05T20:47:44.746345 | 2015-07-13T01:50:41 | 2015-07-13T01:50:41 | 38,977,019 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,257 | py | import requests, re, time, praw, HTMLParser, json, webbrowser
from config import subreddit
# from PIL import Image
from StringIO import StringIO
class configuration():
def __init__(self):
self.r, self.subreddit = self.reddit_setup()
self.config = self.get_config()
self.streams = self.wikipage_check(self.config... | [
"andrewalex.1992@gmail.com"
] | andrewalex.1992@gmail.com |
befb49d4dbdb7cb938cabe95b0ce64fc371134a3 | 93a10a77cfed19f6f43987d5f7333c7599990ab1 | /vpy27/Lib/site-packages/cms/cms_toolbars.py | 963e7378c772e5cbb3cd448e37d3d387bf6db174 | [] | no_license | zfanai/vpy27 | 8cd00a49cadccd462276f685dfa30d51cfdfe3d6 | 57ae83d393c569cb632b1ad0bb093a13851e10ed | refs/heads/master | 2021-07-15T20:25:41.383490 | 2017-10-21T02:18:50 | 2017-10-21T02:18:50 | 107,623,345 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 27,153 | py | # -*- coding: utf-8 -*-
from classytags.utils import flatten_context
from django.conf import settings
from django.contrib import admin
from django.contrib.auth import get_permission_codename, get_user_model
from django.contrib.auth.models import AnonymousUser
from django.contrib.sites.models import Site
from django.cor... | [
"zf_sch@126.com"
] | zf_sch@126.com |
446ccd7e5f607f8cfa6cb6a321573ab0f61353eb | 35cccb6f98985031f2e82ce0e7ac29045df31747 | /CoNet_new/model.py | a25c7c0e93d85a687daf8679db53960f94533259 | [] | no_license | iwtlu/Machine-learning | 7fd0a90aa6feec90f941e97fc0a7013aff2a893f | d96b75bba4030aae40123f28678135c95e771ea9 | refs/heads/main | 2023-08-26T22:09:42.235132 | 2021-11-07T16:44:56 | 2021-11-07T16:44:56 | 425,526,829 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 39,052 | py | import numpy as np
import tensorflow as tf
from past.builtins import xrange
from Dataset import Dataset
from collections import defaultdict
import time
import sys
import math
import random
import os
class MTL(object):
def __init__(self, config, sess):
t1 = time.time()
# data corpu... | [
"noreply@github.com"
] | noreply@github.com |
39f9db6893ed5b9a99a7a7c13ff1ebb6b66b445f | d5fbecbd18f44e30201d80255eeb50565c9a976a | /takeout/migrations/0007_auto_20201122_0415.py | 419fce1a395da2ff5768743db8ebc73e9c222c5d | [] | no_license | earthtomemphis/RestaurantOnlineOrderForm | 51a2d13726e0ee2d5d4da2a63dbad4300329ffbd | e0faca26b73eef084d1e781e444f6b015e784b8d | refs/heads/main | 2023-01-14T08:17:07.614114 | 2020-11-23T04:30:10 | 2020-11-23T04:30:10 | 314,916,976 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 483 | py | # Generated by Django 3.1.3 on 2020-11-22 04:15
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('takeout', '0006_auto_20201122_0406'),
]
operations = [
migrations.AlterField(
model_name='menu',
name='dish_image',
... | [
"earthtomemphis@gmail.com"
] | earthtomemphis@gmail.com |
540b1e207d9d6ca9788b0f7943f280f2b8351728 | bc7c9df185cd7ab30b1c8b50bc50fe3fd8a79a7e | /lesson_6/lmparser/items.py | 8dab6484cfadbec0a2de4f9d9a1f57be7fc81eb9 | [] | no_license | Sharovatov-N/Web_Scraping | feb2df131883c4aeb627f145bd529f2744ec1304 | 094481b6fb7e21f0e797f31e939fb3e5d07eb77f | refs/heads/master | 2022-12-18T14:15:11.504550 | 2020-09-23T14:27:39 | 2020-09-23T14:27:39 | 291,339,109 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 884 | py | # Define here the models for your scraped items
#
# See documentation in:
# https://docs.scrapy.org/en/latest/topics/items.html
import scrapy
from itemloaders.processors import TakeFirst, MapCompose
def price_to_float(price):
if price:
return float(price.replace(' ', ''))
return price
def clean_str... | [
"nn1959@mail.ru"
] | nn1959@mail.ru |
f469e7db405db18259b6a734309b541d8c906bec | d9cda40bcb8aca54d4037bf9d714956198d9ff57 | /EjercicioC/Breduce.py | deb2f3b3c2e0fe62b038d07feccc6b2019957ae9 | [] | no_license | flanciskinho/FIC.MUEI.ICS.MapReduce | dae56a68954a2e78e43cd155915bdf6e63de0c0b | f8856078b89d0e8703908e36a6a20493a78b8c0f | refs/heads/master | 2021-01-19T05:44:42.181742 | 2015-01-13T16:07:33 | 2015-01-13T16:07:33 | 29,198,242 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 268 | py | #!/usr/bin/env python
import sys
value = 0.0
for line in sys.stdin:
rec = line.strip(' \t\n\r').split()
if len(rec) != 1:
print 'Formato incorrecto'
exit()
try:
value += float(rec[0])
except ValueError:
print 'Formato incorrecto'
print '%f' % (value)
| [
"flanciskinho@gmail.com"
] | flanciskinho@gmail.com |
2404b325034d97f4ecca71ac3a63c427b607477a | 93da83e4426b5fe84882adb21ec6ba2566252be5 | /WSN_CROSS_VALIDATION_AND_SPLITING_DATA_FROM_50K_TO_300K_GRAPHS_AND_PIE_CHARTS.py | 01d9670ade6aed6ad65033615c317d183f3aad9f | [] | no_license | RezviAlauddin/Intrusion-Detection-System-on-Wireless-Network-by-Data-Mining-Code-Part | cccd6e4ae43ef82373d012dac251e39abbceb1f3 | ee341d9816b2c0222a6c001fe9119b3bcee1d9f6 | refs/heads/master | 2020-06-28T21:11:31.348349 | 2019-08-03T07:00:06 | 2019-08-03T07:00:06 | 200,343,267 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,011 | py |
# coding: utf-8
# In[1]:
# coding: utf-8
# In[1]:
#all header files
#import tensorflow as tf
from sklearn.model_selection import train_test_split
from sklearn.neighbors import KNeighborsClassifier
from sklearn.metrics import accuracy_score
from sklearn.linear_model import LogisticRegression
from sklearn.naive_... | [
"noreply@github.com"
] | noreply@github.com |
ae030ee10624972a845f3259a104661887ee65dd | 71227ba095dd55a4c1a2bd48c7b59ae8fb8d4133 | /Labo01_AgentesInt/original.py | 7a58e3fafcd842e0535a695bfe2c3037c7a24619 | [] | no_license | jantov/Jose_Olpo_IA_1 | ef6313ba5d2f581845d2544894f64d098f8cd547 | 859d4ba1e11ef8f229ea788b4553f2a376418794 | refs/heads/main | 2023-06-15T11:40:37.339113 | 2021-07-17T16:29:23 | 2021-07-17T16:29:23 | 356,385,670 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 28,087 | py | """CSP (Constraint Satisfaction Problems) problems and solvers. (Chapter 6)."""
from utils import argmin_random_tie, count, first
import search
from collections import defaultdict
from functools import reduce
import itertools
import re
import random
class CSP(search.Problem):
"""This class descri... | [
"noreply@github.com"
] | noreply@github.com |
17344efc56c087a7170e129ec0ee09de2a798135 | fdfbe19c3ebed78cc3b2eeab148769248a15e12f | /apps/core/views.py | c9bfe567b9f30862cb562c8b3fbfacde68db0622 | [] | no_license | allwdesign/Organization-info-Rest-API | 5d469a4fbb8884f01b5c07426932bb5f9d8cea92 | cef30db040859c6b9fa5e217a5b60dea01aff1d5 | refs/heads/master | 2022-03-30T23:29:52.971571 | 2020-01-20T12:41:20 | 2020-01-20T12:41:20 | 112,495,771 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,246 | py | # -*- coding: utf-8 -*-
from rest_framework import generics
from rest_framework.filters import SearchFilter
from django_filters.rest_framework import DjangoFilterBackend
from core.filters import OrganizationFilter
from core.models import Service, Organization
from core.serializers import (
OrganizationSerializer,
... | [
"allwdesign@gmail.com"
] | allwdesign@gmail.com |
247a1d2d9f5a2c30d208c39d87069007bd8babe4 | 0770e82d0d83a1afb1a02eaa7dc836264bbfdf05 | /Segundo_Semestre/Classe/Classe_basico3.py | 99527f1a77b01727ef979dbfa5b1cbe2108bd1a1 | [] | no_license | vinicius-carv/Ciencia-da-Computacao | db79203396f1974a9f10be4df9ab67d624261dec | 763dd049752236860ea7f3ecf2b47d8ed47d89d6 | refs/heads/main | 2023-05-07T04:20:36.014992 | 2021-05-05T00:48:02 | 2021-05-05T00:48:02 | 310,368,822 | 0 | 0 | null | 2021-05-05T00:48:03 | 2020-11-05T17:16:53 | Python | UTF-8 | Python | false | false | 1,680 | py | import datetime
class Pessoa(object):
default=datetime.date(2000,1,1)
def __init__(self,name,birth=default):
self.name=name
self.birth=birth
def get_name(self):
return self.name
def get_birth(self):
return self.birth
def set_name(self,change):
self.... | [
"noreply@github.com"
] | noreply@github.com |
9a4ddcf2d9c8cf00ab5ee0567fd2a2d9f2898023 | cabec31ced9f68ac6d183ccdf55bee702fd62444 | /utils/utils.py | a0e468db51fee0a48b2491d83724aeeb51352862 | [] | no_license | superhg2012/asr-e2e | 96c06333c071d43d138ad225971430d358b3542f | 9aeb0c54d4a53b1c5dc2478e4dff942dd636b3cb | refs/heads/master | 2021-07-09T10:38:42.284803 | 2017-09-30T15:51:01 | 2017-09-30T15:51:01 | 106,247,615 | 1 | 0 | null | 2017-10-09T07:01:15 | 2017-10-09T07:01:14 | null | UTF-8 | Python | false | false | 1,646 | py | import time
from functools import wraps
import numpy as np
def describe(func):
"""
Wrapper for any function to log theirs estimating time
Args:
func: Some function
Returns: The result value of the function
"""
@wraps(func)
def wrapper(*args, **kwargs):
print(func.__name__ ... | [
"niklemark@gmail.com"
] | niklemark@gmail.com |
df5b840b8c55c2243221fa48aa5153e851743636 | 515d5d19f81324e4d021402f14028d72cb50c8f0 | /team3/Sinogi.py | a6e299d8c244a2b02e00258a2543eeff89745052 | [] | no_license | ophwsjtu18/ohw20f_code | 88a9dc9084df537ed8879780496b7fd9f440289c | 8b068fc4c53728cb5100b6c184cc7c73463562c8 | refs/heads/main | 2023-01-11T19:48:23.254168 | 2020-11-18T08:50:56 | 2020-11-18T08:50:56 | 309,934,528 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,281 | py | import os,random,numpy
from cv2 import cv2
print('Sinogi:还就内个一头攒死')
score=0
def Q_B(event,x,y,flag,param):
global score,img,QB
if event==cv2.EVENT_LBUTTONDOWN:
if not QB[y][x].any()==0:
stp_x=y//img.shape[0]
stp_y=x//img.shape[1]
for a in range(1,img.shape[0]):
for b in range(1,img.shape[1]):
QB... | [
"1051563411@qq.com"
] | 1051563411@qq.com |
fa40c9f5c291d466245994d71e3b05bde8d0668f | 976230c7d6270f9fbec052e01f9799e13059f79c | /tests/spatio_temporal/test_daily.py | 0c473f4a8bf1f201c13a2cf6200948d00b171507 | [
"MIT"
] | permissive | amet123/jyotisha | 01cd60884f729814e6757d2a7186a6a4e3941a1f | 83930880ca74d6ddc95cc72f7026ef63a2e1c3be | refs/heads/master | 2020-03-16T09:44:13.310195 | 2018-02-10T02:43:19 | 2018-02-10T02:43:19 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,037 | py | import logging
from jyotisha.panchangam.spatio_temporal import City
logging.basicConfig(
level=logging.DEBUG,
format="%(levelname)s: %(asctime)s {%(filename)s:%(lineno)d}: %(message)s "
)
def test_solar_day():
from jyotisha.panchangam.spatio_temporal import daily
panchangam = daily.Panchangam(city=City('Chen... | [
"vishvas.vasuki@gmail.com"
] | vishvas.vasuki@gmail.com |
7967013853faa251a7c164a1774ad60bcab38057 | 84a240d463a7c286a4ff3b0c344a0e80e681ce38 | /src/chap03/10_time_dependencies/test.py | 1ae0ad5dbbf3e72fb61a6fcfb782ede2deaa843d | [] | no_license | perillaroc/ecflow-tutorial-code | 87f12b11f942b2323e45f8f8c205f665ceaeca7f | e00d0556a161a4c221b854f99dbbd0898ee14762 | refs/heads/master | 2021-09-06T04:30:48.812500 | 2018-02-02T06:48:41 | 2018-02-02T06:48:41 | 119,969,899 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,034 | py | import os
from pathlib import Path
from ecflow import Defs, Suite, Task, Family, Edit, Trigger, Event, Complete, Meter, Time, Day, Date
def create_family_f1():
return Family(
"f1",
Edit(SLEEP=20),
Task("t1",
Time("03:00 23:00 00:30")),
Task("t2",
Day("sund... | [
"perillaroc@gmail.com"
] | perillaroc@gmail.com |
2eed11ec265d80ff25e3c546f346c8b9f148d089 | 57a012d807e6b764d4a756ffbd075532e91e3d2a | /perception/implementation.py | 9f40de39783115da0b30ea7c6cbe40ab66c22404 | [
"MIT"
] | permissive | zbs881314/Self-Driving-Car- | 730b02042728c04bdc634e7b924bc41fad4f644c | 4e18a410b1ad6c542c72c7ee68f0a4042f45f9d3 | refs/heads/master | 2020-04-16T01:11:07.787183 | 2020-01-28T23:48:42 | 2020-01-28T23:48:42 | 165,163,547 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,762 | py | import numpy as np
import matplotlib.pyplot as plt
from sklearn import datasets
import keras
from keras.models import Sequential
from keras.layers import Dense
from keras.optimizers import Adam
np.random.seed(0)
n_pts = 500
X, y = datasets.make_circles(n_samples=n_pts, random_state=123, noise=0.1, factor=0.2)
print(... | [
"shibo.zhou14@gmail.com"
] | shibo.zhou14@gmail.com |
e07513b4008c37e78c551f70370709347e1bde89 | 0b4ef2684ed06cc3029226801d9b0d3a06aebb86 | /scipy_stats.py | 2ffd63b551efc2541762e59e61ce8f8cae694c3a | [] | no_license | haitwang-cloud/python_science | 5f317992a9383c3d492b8b2486214327b6f97c3d | af53ce4054084300c1c44dcc00ce7996eaf32f27 | refs/heads/master | 2021-09-28T09:08:50.090240 | 2016-10-30T14:26:02 | 2016-10-30T14:26:02 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 732 | py | # -*- coding: utf-8 -*-
"""
Created on Sun Aug 14 13:33:25 2016
@author: WangHaiTao
"""
from scipy import stats
import numpy as np
import pylab as pl
print stats.norm.stats()
X=stats.norm(loc=1.0,scale=2.0)
print X.stats()
x=X.rvs(size=10000)#对随机变量取10000个值
print '期望:',np.mean(x)
print '方差:',np.var(x)
print stats.norm... | [
"christprince23@gmail.com"
] | christprince23@gmail.com |
0396fa2eb4a6c60be54c6de8b5c2e26b14e84240 | 90982877e08435b19934a92cd159834a2f5843f8 | /UDP/UDPServer.py | 7e0be3d7ceb4fb3a7061dbfdcfbc3ff0779be310 | [] | no_license | Hughshine/very-simple-network-programming-demos | 3d86b950fc22b97d2a0883b2b1ff59f76d78623e | 56513e9bf435cd7e300a40b41dbff5834da45cea | refs/heads/master | 2020-08-03T05:18:54.409647 | 2020-03-14T18:05:07 | 2020-03-14T18:05:07 | 211,635,766 | 2 | 0 | null | 2020-03-14T18:05:08 | 2019-09-29T09:10:08 | C++ | UTF-8 | Python | false | false | 759 | py | from socket import *
class UDPServer:
i = 0
def __init__(self, serverName='hostname', serverPort=12000):
self.serverName = serverName
self.serverSocket = socket(AF_INET, SOCK_DGRAM)
self.serverSocket.bind(('', serverPort))
print('The server is ready to receive.')
self.st... | [
"1015545250@qq.com"
] | 1015545250@qq.com |
46ff505f95a812fb8e32ef840394722926fc6756 | 24d5bafa5f925083f6a1c8ac8d750de909e6ac8b | /Assign Category.py | be6c533cb3693aa9fe9e8a9f7d5399d6cb375905 | [] | no_license | mtnekros/Trials-Project-Codes | d37fe6094cc3cbe04be0f1838aee4259649f5597 | 59cb10e4f7eff9f1e785649112a103fa78136d4e | refs/heads/master | 2020-12-03T15:34:35.036245 | 2020-01-03T09:14:09 | 2020-01-03T09:14:09 | 231,373,983 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,208 | py | import arcpy
print("Imports Done!!\n")
way_points = r"C:\Users\PATHWAY\Desktop\Mugu Trails\all_waypoints\{AddNameFileNameHere}.shp"
arcpy.MakeFeatureLayer_management(way_points, 'waypts_layer')
# category wise keywords to include at 0 index and to exclude at 1 index
category_keywords = {
"Education Infrastructure... | [
"mtnekros@gmail.com"
] | mtnekros@gmail.com |
e2b98a1c28772c9818ccbe48267a4b758985e0bb | 2d34788fed3ea53e5a8d03bebf636bf29ab9dde8 | /py3k-grapheq/networkxdemo.py | 4d672fe0b8bc5ceda611d9c68156479883f23454 | [] | no_license | kummahiih/my-never-ending-projects | 60c96895bc5ef78864ac27ec0737e9dc640f155a | ba5484032a15ea8c068ce230d045a056512fd61d | refs/heads/master | 2021-01-10T20:13:31.734562 | 2015-10-31T14:38:40 | 2015-10-31T14:38:40 | 42,805,980 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 469 | py | import grapheq
import networkx as nx
import matplotlib.pyplot as plt
def graph_maker(G):
def connect(a, b):
print (a, b)
G.add_edges_from([(a, b)])
return grapheq.from_operator(connect)
if __name__ == "__main__":
G = nx.DiGraph()
I, O = grapheq.get_I_and_O()
C = ... | [
"pauli.rikula@gmail.com"
] | pauli.rikula@gmail.com |
fc60141431fdb2a1d9447306ce86f6388d1d206b | 1422f408da469ec0659c6a7c182486c89f36b30c | /oops/Static class.py | 7bfa36719df85a33d252ce7ccc5cd54ffce97ac0 | [] | no_license | saiprasadvk/pythonprogram | df448e0ee6e5c3ecaba91b55ff01bf7ae2c98b31 | 6c8efaf35cc48e0cae0be30bda06bd7e543b0d70 | refs/heads/master | 2022-12-01T09:09:41.565623 | 2020-08-17T13:05:51 | 2020-08-17T13:05:51 | 281,454,175 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 653 | py | 1)
class Mathematics:
def addNumbers(x, y):
return x + y
# create addNumbers static method
Mathematics.addNumbers = staticmethod(Mathematics.addNumbers)
print('The sum is:', Mathematics.addNumbers(5, 10))
O/P::
The sum is: 15
2)
class Dates:
def __init__(self, date):
self.date = date
... | [
"noreply@github.com"
] | noreply@github.com |
b8a11afd62dda6a0c4927d7d976a193bd9afeeb3 | 6f49a43d03354752676ae07ebed922f60a13267b | /utils.py | 2ebe25c78b4f46da273dc36cc74dfcfee5c21ec6 | [] | no_license | dgrissen/mint-import | 7c493c50693884306d8dffed14fa7bfa413afcb1 | 09beefd362651e0dd2ed1b6b702428a1394dd13d | refs/heads/master | 2020-05-16T21:40:01.068609 | 2015-07-11T16:47:18 | 2015-07-11T16:47:18 | 20,864,044 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 705 | py |
def build_post_dict(description, default_category, default_merchant, txndate, txnamount, mtIsExpense, token):
post_dict={
'cashTxnType':'on',
'mtCheckNo':'',
'tag461974':'0',
'tag461975':'0',
'tag461976':'0',
'task':'txnadd',
'txnId':':0',
'mtType':'c... | [
"darrell.grissen@eflglobal.com"
] | darrell.grissen@eflglobal.com |
1d1b706b79d817045a4458163d9e0a30057bb120 | 9743d5fd24822f79c156ad112229e25adb9ed6f6 | /xai/brain/wordbase/adjectives/_nets.py | 9595b4e462c02417b87f949ef703a5e57f707413 | [
"MIT"
] | permissive | cash2one/xai | de7adad1758f50dd6786bf0111e71a903f039b64 | e76f12c9f4dcf3ac1c7c08b0cc8844c0b0a104b6 | refs/heads/master | 2021-01-19T12:33:54.964379 | 2017-01-28T02:00:50 | 2017-01-28T02:00:50 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 227 | py |
from xai.brain.wordbase.adjectives._net import _NET
#calss header
class _NETS(_NET, ):
def __init__(self,):
_NET.__init__(self)
self.name = "NETS"
self.specie = 'adjectives'
self.basic = "net"
self.jsondata = {}
| [
"xingwang1991@gmail.com"
] | xingwang1991@gmail.com |
194ba9e2d48337aa89eb30deb90a845d278ff020 | 05581fa74e15416943d6d7659742080dd07f1b9a | /cache/.mako.tmp/base.tmpl.py | d6b6f1c705889461cb21a5f38262cedd8896d102 | [] | no_license | demba/blog | b05ec00d89c8f2d3acea7638ca13d954e8781bd6 | ddf9a6ba9f647b697371d5ebbea2be3147c93161 | refs/heads/master | 2023-01-12T07:03:21.854260 | 2021-06-26T19:12:02 | 2021-06-26T19:12:02 | 40,611,969 | 0 | 0 | null | 2022-12-26T19:53:45 | 2015-08-12T16:34:43 | HTML | UTF-8 | Python | false | false | 13,041 | py | # -*- coding:utf-8 -*-
from mako import runtime, filters, cache
UNDEFINED = runtime.UNDEFINED
__M_dict_builtin = dict
__M_locals_builtin = locals
_magic_number = 10
_modified_time = 1548692602.838756
_enable_loop = True
_template_filename = u'/home/demba/.pyenv/versions/blgng/local/lib/python2.7/site-packages/nikola/da... | [
"dembayel@gmail.com"
] | dembayel@gmail.com |
3b60f69fc3a7ea2875c479c1321722d627e63862 | 0df6e77e86ba66ea4c96a0801c9f4487411eff9b | /contest/myTeam88.py | 64edf31795c86931b053f782ce88cca98ed884ca | [] | no_license | victoriacuicui/AI | 493e377a05aea9a1623e03580c5d5e2b7c977079 | 734bd39dc5186597b982b74a0b292dd1df3e2c5f | refs/heads/master | 2021-05-24T15:39:40.737784 | 2020-04-06T23:16:41 | 2020-04-06T23:16:41 | 253,635,711 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 25,763 | py | # myTeam.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.
#
# At... | [
"noreply@github.com"
] | noreply@github.com |
42490e9d628afc7166f5dcda37a9bee303d53667 | 0a6cdc131ec7de905717eef677b0d89447b4b325 | /main/admin.py | d48cd2a6572004772a259f5db74b9054409276b4 | [
"Apache-2.0"
] | permissive | madcat1991/hh_survey_gui | 615cbd4ddb4cddd2d55e5257ad471af0b2043d3b | 30e19f4289fbfbf5eccb59f7a4c9c738877f8ffc | refs/heads/master | 2023-06-02T04:07:44.615525 | 2017-11-20T11:41:31 | 2020-04-22T15:42:01 | 257,945,556 | 0 | 0 | Apache-2.0 | 2021-06-10T22:48:35 | 2020-04-22T15:41:12 | Python | UTF-8 | Python | false | false | 905 | py | from django.contrib import admin
from main.models import HHUser, RecsReview, RecsReviewQA, ClusterRecsReviewQA
class HHUserAdmin(admin.ModelAdmin):
list_display = ('code', 'cluster_id')
class RecsReviewAdmin(admin.ModelAdmin):
list_display = (
'pk', 'reviewer', 'hh_user', 'recs_type', 'dt', 'qa',
... | [
"tgurbanov@Turals-MacBook-Pro.local"
] | tgurbanov@Turals-MacBook-Pro.local |
7a8658e2780e39c807703f1ce6d24759d56e59b6 | c546a4c676828aa34fb6eec633f07b84db9082ba | /test/util/test_misc.py | 277b823ae30850eab8c4f1c7852b5451029a1e21 | [
"MIT"
] | permissive | gunbra32/cate-core | 0bc73ef9682201f2763183c0e67d653f0b9e1c50 | 371ca8b1bd54ea307753917f9ebc5b2e84aeadaa | refs/heads/master | 2020-06-22T22:15:03.990577 | 2017-06-26T08:54:30 | 2017-06-26T08:54:30 | 94,225,795 | 0 | 0 | null | 2017-06-13T15:05:19 | 2017-06-13T15:05:18 | null | UTF-8 | Python | false | false | 9,160 | py | from collections import OrderedDict
from datetime import datetime, date
from unittest import TestCase
from xml.etree.ElementTree import ElementTree
from numpy import dtype
from cate.util.misc import encode_url_path, to_json
from cate.util.misc import object_to_qualified_name, qualified_name_to_object
from cate.util.m... | [
"norman.fomferra@brockmann-consult.de"
] | norman.fomferra@brockmann-consult.de |
20c48cc4a77f45fd86724abe840615267cceb96d | 4dac09a38ecfd1bec5895e82e79446522ba26a0b | /p2.py | ac71ef4688ffa96f3d67e40cc56fcf0679b1fd5c | [] | no_license | elhamrazi/ai-first-project | e63a8b4fdccef36d8e6d77400175ba74bf32297b | f733d712f1efac9f21412c7b8f6e07582c628ec9 | refs/heads/master | 2023-02-01T21:23:55.266016 | 2020-12-24T10:25:17 | 2020-12-24T10:25:17 | 321,106,901 | 7 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,365 | py | import copy
path = []
created = 0
explored = 0
class Node:
def __init__(self, deck_no, parent):
self.decks = []
self.no = deck_no
self.parent = parent
def add_slots(self, slots):
for i in range(self.no):
temp = slots[i]
self.decks.append(temp)
de... | [
"elhamrazi99@gmail.com"
] | elhamrazi99@gmail.com |
b8993aa7ccaea8513fd07124d6005cdbd77c5068 | dd6cf539f20a0143acbdda1ed3f64b18b08a29b5 | /whiteList_v5/Config/2019第一季度脚本/config_fangtoo.py | 8af88ee3c64feb458b58b8f158acd47a212eef70 | [
"MIT"
] | permissive | myirelias/white_list | eec6a900cc3eea0f227425327ab55a6b46ba873d | 2bf344d2dc8f5cb3afbde71e248c019651ee3a7a | refs/heads/master | 2020-04-15T11:10:44.850942 | 2019-11-05T01:51:41 | 2019-11-05T01:51:41 | 164,618,155 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 2,178 | py | # 房途网
TASK_NAME = 'fangtoo'
# 起始URL
START_URL = 'http://www.fangtoo.com/'
# 控制域，必须为list格式
DOMAIN = ['fangtoo']
# 请求头
HEADERS = {
'Host': 'www.fangtoo.com',
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:53.0) Gecko/20100101 Firefox/53.0',
'Accept': 'text/html,application/xhtml+xml,application... | [
"myIrelia@aliyun.com"
] | myIrelia@aliyun.com |
8b79882dc6fd8a4f17eb7a20d608e983099ff59a | b9a9316e1fe7ca8b91ca30edd174d28de7a3c935 | /prac_04/quick_picks.py | 5519f49f497cdde43552085039929f2792c8cef2 | [] | no_license | NathanMarson/Pracs | 124f67d1568baf2c37dd9addec5c67da4defff74 | a3b9dc2b035c4f3afc28af14c85fe3b19f26b73d | refs/heads/master | 2021-03-19T17:30:07.624180 | 2017-09-21T00:55:43 | 2017-09-21T00:55:43 | 100,543,213 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 565 | py | import random
NUMBERS_PER_LINE = 6
MIN = 1
MAX = 45
amount_of_picks = int(input("How many quick picks? "))
while amount_of_picks < 0:
print("Invalid amount")
amount_of_picks = int(input("How many quick picks? "))
for i in range(amount_of_picks):
quick_pick = []
for n in range(NUMBERS_PER_LINE):
... | [
"nathan.marson@my.jcu.edu.au"
] | nathan.marson@my.jcu.edu.au |
283d776bbb65004616a973203db221b48b1cdbf7 | 21f9562a4e2614b47635eaae143affaa05726669 | /Python/List-1/common_end.py | 0d6450a21923221eefa2235687b52116ac15b449 | [
"MIT"
] | permissive | LucasHenrique-dev/exercicios-codingbat | a252dd0c683e4286497c01b5502a98fbbbc76e6a | ff92db10387757b9a2e3f72be6b7e51824b1ffa6 | refs/heads/main | 2023-08-22T17:49:56.932947 | 2021-10-05T16:45:31 | 2021-10-05T16:45:31 | 319,936,676 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 269 | py | """
Dada 2 listas numéricas ("a" e "b"), retorne true se elas começarem com o mesmo
elemento ou terminarem com o mesmo. Ambas terão tamanho de pelo menos 1.
"""
def common_end(a, b):
return a[0] == b[0] or a[-1] == b[-1]
print(common_end([1, 2, 3], [7, 3]))
| [
"lucas.hneto@hotmail.com"
] | lucas.hneto@hotmail.com |
ea464d0736ced0fd8a1eb5f9d260007260e87d9b | bf3b1e583c3091fc4c376eba92ecd26720a02d07 | /scripts/testgsw.py | 6eaf39eb32277848878df65f570dfa2f7d4194d1 | [] | no_license | justinecstz/dynamical_planner | f88516aa132fa5baf690e2af05758f6db7962060 | 6e6370f5378cc7a0cd789b3b1c0daee26bbf5282 | refs/heads/master | 2020-04-27T03:12:11.010896 | 2019-06-05T16:06:38 | 2019-06-05T16:06:38 | 174,018,244 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,043 | py | #!/usr/bin/env python
import roslib
import rospy
import math
import tf
from std_msgs.msg import String
from std_msgs.msg import Float32MultiArray
from std_msgs.msg import MultiArrayDimension
import numpy as np
oldState = ""
if __name__ == '__main__' :
rospy.init_node('getStateWolrd')
listenerMarkers = tf.Trans... | [
"justine.costaz@live.fr"
] | justine.costaz@live.fr |
7e143995d7e137dcb1934363b26de9cf57999bab | 62e58c051128baef9452e7e0eb0b5a83367add26 | /x12/5040/404005040.py | 9579f1c988fb1681ddca7d2da3451a5a5e882284 | [] | no_license | dougvanhorn/bots-grammars | 2eb6c0a6b5231c14a6faf194b932aa614809076c | 09db18d9d9bd9d92cefbf00f1c0de1c590fe3d0d | refs/heads/master | 2021-05-16T12:55:58.022904 | 2019-05-17T15:22:23 | 2019-05-17T15:22:23 | 105,274,633 | 0 | 0 | null | 2017-09-29T13:21:21 | 2017-09-29T13:21:21 | null | UTF-8 | Python | false | false | 3,935 | py | from bots.botsconfig import *
from records005040 import recorddefs
syntax = {
'version': '00504',
'functionalgroup': 'SR',
}
structure = [
{ID: 'ST', MIN: 1, MAX: 1, LEVEL: [
{ID: 'ZC1', MIN: 0, MAX: 1},
{ID: 'BX', MIN: 0, MAX: 1},
{ID: 'BNX', MIN: 0, MAX: 1},
{ID: 'M3', MIN: 1, MAX: 1},
... | [
"doug.vanhorn@tagglogistics.com"
] | doug.vanhorn@tagglogistics.com |
d9e14952e66e2cf27a24b198bdb252681cfbc12d | b8986464293fb7f59476b60a1f0ae69a8da7c0a9 | /src/ansiblelint/rules/run_once.py | ea49654bee033844e590763407af7fc8f9abb7db | [
"GPL-3.0-only",
"MIT"
] | permissive | utoddl/ansible-lint | e837bac16067888918b4d856c73a118fac28e347 | fd90545c4a2527e6ff4c76f0c1f69893da6cb200 | refs/heads/main | 2023-03-18T08:06:00.445840 | 2023-01-26T17:22:32 | 2023-01-26T17:22:32 | 234,972,838 | 0 | 0 | MIT | 2020-01-19T21:46:45 | 2020-01-19T21:46:45 | null | UTF-8 | Python | false | false | 2,795 | py | """Optional Ansible-lint rule to warn use of run_once with strategy free."""
from __future__ import annotations
import sys
from typing import TYPE_CHECKING, Any
from ansiblelint.errors import MatchError
from ansiblelint.rules import AnsibleLintRule
if TYPE_CHECKING:
from ansiblelint.file_utils import Lintable
... | [
"noreply@github.com"
] | noreply@github.com |
451b171eedc679c5013c736a0918b085ca36b46c | fbea3e5d1ecab07b15887b321cd650349f22df95 | /peterklepec_webpage/cms/dashboard.py | 4df6b11b0df775c579e8ece440fb36e4e21e822a | [] | no_license | simonrakovic/peterklepec | 2e2004c04450898107da61314ec2ba03ee93bbe7 | 58114cfbd4f85d08a4749aa34492f52e11a9925e | refs/heads/master | 2021-01-21T07:53:35.429724 | 2016-09-21T12:34:52 | 2016-09-21T12:34:52 | 24,656,406 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,632 | py | """
This file was generated with the customdashboard management command and
contains the class for the main dashboard.
To activate your index dashboard add the following to your settings.py::
GRAPPELLI_INDEX_DASHBOARD = 'peterklepec_webpage.dashboard.CustomIndexDashboard'
"""
from django.utils.translation import ... | [
"simonrakovic@gmail.com"
] | simonrakovic@gmail.com |
df41d124547958669afd3d7ea5b16fa84c6e8a15 | 867f54b7ce0c5fb8a8a86d6b4c1703b0ef2dcde2 | /code/centralize_data.py | 4aaf1657d21eb0758b9440919c0413b292682533 | [] | no_license | lucy3/reddit-sent | 800dccb8eb0ceffa898e2d4175a20746387f8942 | d1cb144f0ac78d4a055ddd742bc6f0792274759f | refs/heads/master | 2020-03-16T23:59:07.248572 | 2018-10-31T23:13:24 | 2018-10-31T23:13:24 | 133,098,656 | 4 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,163 | py | """
Takes the original input files and creates
for each subreddit three files per month
- 1) bigram counts of words
- 2) unigram counts of words
- 2) a list of username \t num_comments
"""
from pyspark import SparkConf, SparkContext
import json
from collections import Counter
import time
import os
import string
import ... | [
"lucy3@stanford.edu"
] | lucy3@stanford.edu |
421f87fca9204ad25095fbf30160db01901d451d | 0e0b9039af1ffbca7fd48da7c98fb0eb997832d8 | /ShoppingCartApp/urls.py | bfce786564859c2c092b0f41b2214982dd5afc02 | [] | no_license | aplidinio/Le-Bon-Patissier | d8ce4007300f2e1d6f2040f81657cf9f2bca4211 | cc7d766dab06fbb560be019dea1cb07e9c558bcb | refs/heads/main | 2023-04-16T08:10:07.233988 | 2021-04-29T14:48:11 | 2021-04-29T14:48:11 | 362,854,036 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 497 | py | from django.urls import path
from . import views
urlpatterns = [
path('', views.go_to_cart, name="cart"),
path('', views.add_product, name="add"),
path('', views.delete_product, name="delete"),
path('cart/increment_product/', views.increment_product, name="increment"),
path('cart/decrement_produc... | [
"aplidinio@gmail.com"
] | aplidinio@gmail.com |
6dd3dd37611b504ca0edb6b8ca13703a61b50382 | e34632d5bd4f8ebd0cb8157422c532506a5bfbde | /Bagging/Distance_Classifier.py | f44a731458f47f13ec9bda98540a4f811f26c461 | [] | no_license | APM150/P-value_Research | 747240bf02e76edf7678832203bad47d9932696a | 1fd863cc1b9499f654f3c32658ead1d4928e464c | refs/heads/main | 2023-02-09T12:03:11.490176 | 2021-01-04T22:55:51 | 2021-01-04T22:55:51 | 326,827,369 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 12,132 | py | import pandas as pd
import numpy as np
from sklearn.neighbors import KDTree
from sklearn.preprocessing import normalize, StandardScaler
from sklearn.model_selection import train_test_split
from sklearn.neighbors import RadiusNeighborsClassifier
import matplotlib.pyplot as plt
import math
from collections import default... | [
"xujohnathan021@163.com"
] | xujohnathan021@163.com |
043f5668a55597a335e31d67e4e1e990eb98918c | 6cf7e3c06425d4c3e4c16dbb5a53faf736c81efe | /Hacker_Rank/Python/dsimpleknapsack.py | 25c2100d7599f9590ac0e1da58f72ae842438a7f | [] | no_license | neuralfilter/hackerrank | 0e44c75614e8ec0f502940739e44465368eaf885 | 564552a6d4334f5bb5924779a3f63827aa40ec4a | refs/heads/master | 2021-09-06T12:08:38.389623 | 2018-02-06T10:30:27 | 2018-02-06T10:30:27 | 110,924,535 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 475 | py | import sys
sys.setrecursionlimit(10000)
k = map(int, raw_input().split())
item = [map(int, raw_input().split()) for x in xrange(k[0])]
memo = [[0]*int(k[1]+1) for i in xrange(k[0]+1)]
def knapsack(items, capacity):
for i in range(k[1]+1):
for n in range(k[0]+1):
if items == 0 or capacity == ... | [
"Seiji.Sakurai@outlook.com"
] | Seiji.Sakurai@outlook.com |
51cf6cb246c8fc7206420f5ca0b4ca38daf503b7 | 9a2413b572c0f89b1f80899a10237657d9393bd6 | /sdk/python/pulumi_keycloak/generic_client_role_mapper.py | 7482298398ca25d54904f73e31411f577ced592b | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference",
"MIT"
] | permissive | jaxxstorm/pulumi-keycloak | 5c25363ece6af49dad40bd693ce07b1fa0dedd74 | 2fc7b1060b725a40d2ada745aa0d10130243a0b5 | refs/heads/master | 2022-10-10T13:11:04.290703 | 2020-06-05T19:11:19 | 2020-06-05T19:11:19 | 270,870,883 | 0 | 0 | NOASSERTION | 2020-06-09T01:08:56 | 2020-06-09T01:08:55 | null | UTF-8 | Python | false | false | 4,797 | py | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import json
import warnings
import pulumi
import pulumi.runtime
from typing import Union
from . import utilities, tables
class Generic... | [
"public@paulstack.co.uk"
] | public@paulstack.co.uk |
e103eef8d534c592e958270e5f3e32b3c8dcd461 | 38b1a23208e1e9e3fe445328718b4d2bb1218051 | /gait_identification_res_net.py | 5b3f13f2eec438d91b01f4355c07e33cbb00666c | [] | no_license | aamirsahmad/gait-deep-learning | fe46e4ef2fbb20d1501aab66151e202feaa5a431 | e3be1d9333e0124fe38119c3a9752facc14ca0bf | refs/heads/master | 2022-11-21T13:40:08.265027 | 2020-04-25T15:04:20 | 2020-04-25T15:04:20 | 282,077,705 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 19,582 | py | # -*- coding: utf-8 -*-
"""resNet.ipynb
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/1yqHUQTtkjIiocgKejf1pW-WAp9EtIajE
"""
# Initialize runtime
import tensorflow as tf
print('***** TENSORFLOW version', tf.__version__)
if tf.__version__ == '1.15.0':... | [
"abid.hassaan@outlook.com"
] | abid.hassaan@outlook.com |
983ebd7e879bf7254691eb140325136ad1219624 | a9bca0df6e7c3396f3b367b55eebedc6f02fe197 | /crm/admin.py | 9b5b8d04224c0d7b7e527c514e7a8c52af6fc53c | [] | no_license | jojotrujillo/maverick-food-services-crm | f53187b6cae8ca09c675b61a9903b0d4e1ea6372 | 87a3955c3284096dac6979bc29f5c510a695745f | refs/heads/master | 2022-04-16T06:47:47.040308 | 2020-04-16T22:07:21 | 2020-04-16T22:07:21 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 855 | py | from django.contrib import admin
from .models import Customer, Service, Product
class CustomerList(admin.ModelAdmin):
list_display = ('cust_name', 'organization', 'phone_number')
list_filter = ('cust_name', 'organization')
search_fields = ('cust_name', )
ordering = ['cust_name']
class ServiceList(ad... | [
"56196564+jojotrujillo@users.noreply.github.com"
] | 56196564+jojotrujillo@users.noreply.github.com |
9500c48e7a7fbda723ca05e82f6932e50a80cc2a | 53ba1c29d6122b8afeb6578f1a338621c61f507d | /FCCeeAnalyses/ZH_Zmumu/dataframe/plots.py | 1478a35a3cf293e86dc3db7e5dd11aed9830304d | [] | no_license | selvaggi/FCChhAnalyses | dd420f5bdba60147322cc16b49479ca200e8a54c | 8f397c77229c68ad87947e6912466da4b0a6654b | refs/heads/master | 2021-04-27T17:08:28.824726 | 2020-05-21T07:42:43 | 2020-05-21T07:42:43 | 136,484,120 | 1 | 0 | null | 2019-05-02T13:12:39 | 2018-06-07T13:49:23 | Python | UTF-8 | Python | false | false | 1,547 | py | import ROOT
# global parameters
intLumi = 5.0e+06 #in pb-1
ana_tex = "e^{+}e^{-} #rightarrow ZH #rightarrow #mu^{+}#mu^{-} + X"
delphesVersion = "3.4.2"
energy = 240.0
collider = "FCC-ee"
inputDir = "Outputs/FCCee/ZH_Zmumu/"
formats = ['png','pdf']
yaxis = ['lin','log'... | [
"clement.helsens@cern.ch"
] | clement.helsens@cern.ch |
8df7f4ec252f39264940d3b0ca9114440bf1427d | 1677fa0e8b61c116164252f687501fe470a965a6 | /Python Random Practice Folder/web.py | 8c0ce32a65eadbbcf691f1e4b1fb217cbcf74877 | [] | no_license | Badhansen/python-working-dictionary | 1cfbf6d04879c7fb02c39f235dba8f5ad3040ee1 | ed2ce39f6b2535a6c1c51d89436fb97adba32ec7 | refs/heads/master | 2020-04-29T04:55:26.079839 | 2019-03-15T18:34:26 | 2019-03-15T18:34:26 | 175,863,786 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,199 | py | import requests
from bs4 import BeautifulSoup
def trade_spider(max_pages):
page = 1
while page <= max_pages:
url = "https://buckysroom.org/trade/search.php?page=" + str(page)
source_code = requests.get(url)
# just get the code, no headers or anything
plain_text = source_code.te... | [
"badhan.cse@gmail.com"
] | badhan.cse@gmail.com |
6ea7d621fefd4269a56d863f6213844eb685a7e1 | 50b99da2d1b565038af4b2422566504877bca512 | /Pokemon_API_Testing/TestScripts/Pikachu_Move.py | ba236b8f034a7b6843bfe91423cda867c9a8963c | [] | no_license | Bindu-KHB/Intive | 20d7bba3a378d343368cefc6d7a9515f575042b5 | 772403b9dcb7b794cc789d692ff3704e835d46ba | refs/heads/main | 2023-03-23T10:01:13.512415 | 2021-03-17T21:51:28 | 2021-03-17T21:51:28 | 347,780,977 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 845 | py | import requests
import json
response = requests.get('https://pokeapi.co/api/v2/pokemon/pikachu')
json_content = json.loads(response.content)
for moves in json_content['moves']:
pikachu_move = (moves['move']['name'])
if pikachu_move == "thunder-punch":
print("Verified thunder-punch move found")
loca... | [
"bindu.kethireddy@yahoo.com"
] | bindu.kethireddy@yahoo.com |
49045f74e2997064f0e98cef7f962cae04f94c58 | ece78bd2141b3ce31bb0e52b9298734b899eb05e | /Searching_and_Sorting/counting_sort.py | b9247f231a041871dc920954a4f6899045b36073 | [] | no_license | code-project-done/Algorithms_for_Competitive_Programming_in_Python | cf4cacbe7e3f170a454dce59949973e6152737b2 | fe13c90d1bc84e1a8858c83ea32c725182106616 | refs/heads/main | 2023-04-05T04:04:26.934540 | 2021-04-11T09:01:31 | 2021-04-11T09:01:31 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 412 | py | """
Assume all elements of a sequence are between 0 and C*n
we can then sort in O(n)
"""
def counting_sort(aa, m):
counts = [0] * (m + 1)
for a in aa:
counts[a] +=1
ss = []
for i in range(m + 1):
if counts[i] > 0:
ss += [i]*counts[i]
return ss
#driving code
aa = [1,4,9,5,2,1,4,5,7,8,5,6,3,1,2,4,5,6,8,5,4... | [
"pierre.machine.learning@gmail.com"
] | pierre.machine.learning@gmail.com |
5998b15a75ebaad20a7b1706fc64dc7e5b9ddbbc | 4d8095a63f935697d6fbfac43cd243f53abde937 | /test-lstm.py | bb777422ceb84cf4371a7bdfa8ef89dd4f03d33b | [
"Apache-2.0"
] | permissive | xuanhan863/clstm | d9bb36407d68a1e261497ec1fe432c0e527a1a2c | d67cbab3216fad75b71014e90358e436f310b693 | refs/heads/master | 2021-01-17T07:04:33.966030 | 2015-10-23T00:30:42 | 2015-10-23T00:30:42 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 947 | py | #!/usr/bin/python
from numpy import *
from pylab import *
from numpy.random import rand
import clstm
net = clstm.make_net_init("lstm1", "ninput=1:nhidden=4:noutput=2")
net.setLearningRate(1e-4, 0.9)
N = 20
ntrain = 30000
ntest = 1000
print "training 1:4:2 network to learn delay"
for i in range(ntrain):
xs = array(r... | [
"tmbdev@gmail.com"
] | tmbdev@gmail.com |
54000c1f3749adf95d4eaa554253e54925cac65f | 9826c9d5d9e845a06ac33b80133f17eb3782bbdb | /1205_polymorphism.py | b79cb62b3efcfd1e0f5625cd2a7696654147524a | [] | no_license | sujitdhamale/Python | 0a33ec12fab88df3659e311ff606d79803249828 | 644ea529ed87b0fa4048157f79bfe18a2c156a0e | refs/heads/master | 2020-03-20T04:51:59.508929 | 2019-01-24T14:13:19 | 2019-01-24T14:13:19 | 137,197,180 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,118 | py | #!/usr/bin/python
#1205_polymorphism.py by Sujit Dhamale
#to Applying polymorphism to classes
class india:
def citizen(self):
print("I am Indian citizen")
def language(self):
print("i speak Hindi")
class maharashta(india):
def state(self):
print("i am Maharashtrain ")
... | [
"noreply@github.com"
] | noreply@github.com |
ae2983b7c1a49b7a841ae018dc45418c67d67c30 | 824de7f2bce18c06f2f02db955ad079b89a5ad33 | /Sakila/MongoDB/Models/rental.py | f666dc168afd4678c21f629ca23841b31c3dca08 | [] | no_license | mariadias143/BDNOSQL | 378156985dbfe433b04893f1ed0180af791aebb8 | dbb9dae341d92db5e17bb0bfe9ca444f27c94619 | refs/heads/master | 2022-03-26T09:20:42.553158 | 2020-01-14T01:07:42 | 2020-01-14T01:07:42 | 213,943,525 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,622 | py | from datetime import datetime
class FilmRental:
def __init__(self,id,title,categories):
self.id = id
self.title = title
self.categories = categories
def toDic(self):
dic = {}
dic['film_id'] = self.id
dic['title'] = self.title
dic['categories'] = self.cat... | [
"diogosobral98@gmail.com"
] | diogosobral98@gmail.com |
0e913315c0881967655bfda56a7ad9bb57aafd09 | 527128dab34ecde00998fd31d592d007fceaf4f1 | /Programming Language/Python/Django/CRUD_EX/crud/movie/models.py | 1821d06205aecc773172b264c53d1dcd91c8108e | [] | no_license | Doyuni/TIL | b1f29cd75d764076e030cbd79999796ff94dc3b2 | faa4c5782b8dbab8336c7581fbdca62bfb844276 | refs/heads/master | 2020-04-13T13:39:20.749601 | 2019-08-27T12:10:47 | 2019-08-27T12:10:47 | 163,237,942 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 400 | py | from django.db import models
class Movie(models.Model):
title = models.CharField(max_length=1000)
director= models.CharField(max_length=1000)
actors= models.CharField(max_length=1000)
date= models.CharField(max_length=1000)
length= models.IntegerField()
score = models.FloatField()
genre = m... | [
"gdypc@naver.com"
] | gdypc@naver.com |
e6184f7d2d02d159763a29f3a82e470b14b4109a | 859ede6d97dc0c8a802f172aadaac13bac562be6 | /FaceReco/index/migrations/0012_auto_20191202_1010.py | 1372e036022894f82cb4863dca46c0accd98184f | [] | no_license | Zhora1337/diplom | b8c0725b3b299941e261c9b47f4e07903b108038 | 4c4909abaeea6c5c5061ef0a55047947a4a53ea4 | refs/heads/master | 2022-04-02T12:28:30.841442 | 2020-02-16T11:14:21 | 2020-02-16T11:14:21 | 233,037,979 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 670 | py | # Generated by Django 2.2.7 on 2019-12-02 10:10
import django.contrib.postgres.fields
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('index', '0011_auto_20191202_1004'),
]
operations = [
migrations.AlterField(
model_name='us... | [
"zhora1337@protonmail.com"
] | zhora1337@protonmail.com |
76daed50724ba448496cf829ca671984cb8b47b7 | 0e6d2167a8e13c2040382a734ec3aadf221b6b61 | /model_test/model_test.py | 0bee584e1b7ec725e49146325a4d01cc12e5258d | [] | no_license | potatowagon/drangler | 2216fde0141fb9818374f70bf32443898fb565ee | fb22ff41cf0ec35c723ffff604e32162f9302786 | refs/heads/master | 2020-04-21T18:27:16.307947 | 2019-04-21T15:23:56 | 2019-04-21T15:23:56 | 169,769,966 | 0 | 1 | null | 2019-04-21T14:56:11 | 2019-02-08T17:07:20 | Python | UTF-8 | Python | false | false | 2,226 | py | import unittest
import numpy
import pandas
from sklearn.ensemble import RandomForestClassifier
from sklearn.neighbors import KNeighborsClassifier
from sklearn.preprocessing import normalize
from validation import ConfusionMatrix
from validation import LOOCV
from validation import KFold
from joblib import dump
class Te... | [
"th3bomberry@hotmail.com"
] | th3bomberry@hotmail.com |
e16a0a4d963ff076b3d7b228d9bb0ac8b8deefb2 | d879f00448dab694cc8969578acc2a3b8fac06ea | /notebooks/pylib/regeff.py | 6597edb960810d5545a8d1416b27d96fb0b39164 | [] | no_license | nikita-p/kskl20 | 49a60ddb508bf6e5a7f89c645a4bb9613f3206f9 | a1e4dcc217938007a2d20db93e3db40a47d01963 | refs/heads/master | 2023-08-07T07:54:20.925475 | 2021-09-30T08:46:20 | 2021-09-30T08:46:20 | 301,926,401 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,106 | py | from scipy.special import erfc, expit
from iminuit import Minuit
from iminuit.cost import LeastSquares
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
import uproot
import re
from progressbar import progressbar
from .style import my_style
from .preprocess import read_tree
from scipy import stats
... | [
"nikita.petrov.1997@gmail.com"
] | nikita.petrov.1997@gmail.com |
3cd0764c9f5a7b5a555056774f3636ba504dd12a | 4b7a4235e6ad1afd04e0414a2260f2441c6f82a3 | /CIA 2 Project/Tweets and Survey datasets/Twitter Dataset and Code/Preprocessing.py | 3d654cd4c9fab7b7356286329599aa985ed8105b | [] | no_license | jonam-code/2MDS-Project- | 2c9c8d037ba1dd645d9b151343594eedc0ba3344 | ee2335950d50d1d8e360af54ee3c731a538c2960 | refs/heads/main | 2023-05-09T22:53:39.550194 | 2021-06-06T14:10:24 | 2021-06-06T14:10:24 | 367,129,987 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,516 | py | import tweepy
import GetOldTweets3
from textblob import TextBlob
import pandas as pd
import numpy as np
import re
import os
import string
import matplotlib.pyplot as plt
data = pd.read_excel("TN2021.xlsx" ,engine='openpyxl')
# Removing #,@ RT and hyperlink
def cleanTxt(text):
text = re.sub('@[A-Za-z0... | [
"noreply@github.com"
] | noreply@github.com |
4c10cbd3c907d2b700a4587d67043ec7b66c5280 | f098c361ee79bb8b7a8402fcf20b37f17fb36983 | /Back-End/Python/Basics/Part -3- Hash Maps/04- Serialization and Deserialization/_04_JSON_singledispatch.py | 5bac467735833efd499c104e8e24e933427f5fe3 | [
"MIT",
"Apache-2.0",
"LicenseRef-scancode-public-domain"
] | permissive | rnsdoodi/Programming-CookBook | 4d619537a6875ffbcb42cbdaf01d80db1feba9b4 | 9bd9c105fdd823aea1c3f391f5018fd1f8f37182 | refs/heads/master | 2023-09-05T22:09:08.282385 | 2021-10-31T11:57:40 | 2021-10-31T11:57:40 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,389 | py | import json
from datetime import datetime
log_record = {
'time': datetime.utcnow(),
'message': 'Testing...',
'other': {'a', 'b', 'c'}
}
def custom_json_formatter(arg):
if isinstance(arg, datetime):
return arg.isoformat()
elif isinstance(arg, set):
return list(arg)
print(json.dum... | [
"58447627+Koubae@users.noreply.github.com"
] | 58447627+Koubae@users.noreply.github.com |
0bc03a6906489336817aebc3bd23c41f53bdff07 | 6db56dd65aacbc3313b9b54209459f8f7819295a | /code/featurization.py | 0c4fb9ae48f608df9a17437c031da969554eca58 | [] | no_license | shoshosho/test | bddc4bdf8597243d30988859554be1609d486a32 | 731ab8e863bb7a4f704d945addd35e627be4bc76 | refs/heads/master | 2021-01-19T11:45:20.686550 | 2017-09-09T09:35:40 | 2017-09-09T09:35:40 | 87,994,665 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,219 | py | import pandas as pd
import numpy as np
import scipy.sparse as sparse
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.feature_extraction.text import TfidfTransformer
try: import cPickle as pickle # python2
except: import pickle # python3
import sys
try: #python2
reload(sys)
... | [
"shoichi_tagu@r.recruit.co.jp"
] | shoichi_tagu@r.recruit.co.jp |
65829eeb65794e19da467166a19446c84cae71ac | c495a029c258a2d4ad7b264aa80eb4285389d518 | /main_site/main_site/urls.py | 45742fbd1adc6be1517b3b50bece30511c047848 | [] | no_license | xliu59/weather-powered-email | 9c2cc65b64017f4cc9a4ca2f5e87e5380768866d | 0243886814768414e830899d1182cfc6f6881763 | refs/heads/master | 2021-03-30T21:06:23.900283 | 2018-03-13T14:27:54 | 2018-03-13T14:27:54 | 124,992,249 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 815 | py | """main_site URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.0/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-bas... | [
"xiaoxiaoliu@Xiaoxiaos-MacBook-Pro.local"
] | xiaoxiaoliu@Xiaoxiaos-MacBook-Pro.local |
73280c360773ca1128a0a64654f69ff607a7f67b | d6d3b65469b63ee71bfd829f3e3b0d807c13873e | /main.py | c3a9d36bd1135c9cdcbafeb9668e2f8566db25d3 | [] | no_license | Amirhossein-Veysi/url-shortener | 1205550cd1f61939980dac7ad512d4b2d4fe8079 | b8a246050e8a3a357f10c134f52328757dc2ebf1 | refs/heads/master | 2023-07-21T17:41:29.977713 | 2021-09-03T12:07:50 | 2021-09-03T12:07:50 | 394,940,224 | 1 | 0 | null | 2021-08-13T08:15:21 | 2021-08-11T09:49:52 | HTML | UTF-8 | Python | false | false | 2,548 | py | from flask import Flask, request, render_template, redirect
import data
from flask_cors import CORS
import password as pass_solver
import visits
app = Flask('app')
CORS(app)
@app.route("/")
def home():
return render_template("index.html")
@app.route("/api")
def api_page():
return render_template("document... | [
"amirhossein_veysi@yahoo.com"
] | amirhossein_veysi@yahoo.com |
13151916578e33525fc62cc87b57543a25f74961 | 621ef837693219b4bb39ebf38d92e9d966615234 | /Server/Server.py | da820090808f2e4695e33429950061de1db2f6cc | [] | no_license | nckspec/Robot | 3a7cde7e9bcadb3d0b1db1145f10f40eb3c01a70 | d7dfd6652e69f54fb589c070f0c5914291f47ae0 | refs/heads/master | 2020-05-01T19:06:29.355508 | 2019-06-24T04:30:59 | 2019-06-24T04:30:59 | 177,639,797 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,840 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import pygame
import sys
import os
import pygame.display
import time
import pygame
from pygame.locals import *
import pickle
import struct
import socket
from CameraViewer import CameraViewer
from functions import recvall, keysPressed
# PROCESSING: Initialize pygame
pyga... | [
"nspectorit@gmail.com"
] | nspectorit@gmail.com |
f907ff4ba829fa54dbcfe70929820da5e97f9185 | 6fd5dc76db76869e94484442096448fde405e41c | /dankmeme.py | 273471c5927d375de373eba2c26a6d43792fbff4 | [] | no_license | Rocksheep/lambot | 42151a86a08ff93b12ba147f7ef1136df6d050d4 | 578cd1a760d36306949949f1c5bdbaa32e3b14f9 | refs/heads/master | 2021-01-10T15:27:43.409817 | 2016-02-04T10:37:04 | 2016-02-04T10:37:04 | 51,068,966 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 349 | py | from configparser import ConfigParser
from imgurpython import ImgurClient
import random
cfg = ConfigParser()
cfg.read('config.ini')
client = ImgurClient(cfg.get('imgur', 'client_id'), cfg.get('imgur', 'client_secret'))
def get_random_dank_meme():
items = client.memes_subgallery('viral', random.randint(0, 3))
retu... | [
"rien@dailydialogues.nl"
] | rien@dailydialogues.nl |
995d3364d9f1610b752d62d9502e69c61b685f68 | 1164dbd41b85a3f7e5849e1385fd53cd59701880 | /weathermonitor/__init__.py | 6c316d201844716dc841c271a40789b47305e222 | [] | no_license | scizorman/weather-monitor | 4f3bbd6d990a1e2b7e271d91d92ccf913cd5a59a | abc76a7a15e55e016764a59899526792eba49dd9 | refs/heads/master | 2022-12-15T10:22:52.127753 | 2018-12-04T13:17:05 | 2018-12-04T13:17:05 | 159,391,590 | 0 | 0 | null | 2021-06-01T23:06:39 | 2018-11-27T19:58:28 | Python | UTF-8 | Python | false | false | 127 | py | # coding: utf-8
from . import communicator
from . import core
from . import device
from . import exception
from . import utils
| [
"tueda1207@gmail.com"
] | tueda1207@gmail.com |
7eb6576a8db4d87e29120d93a3ee3c45b38431a9 | 8f9e1e393124565370d8256abc477c7517124021 | /build/catie_test_scenario/catkin_generated/pkg.installspace.context.pc.py | cc832812d8ca90e4c36f80f50d47e28cda184f37 | [] | no_license | AlexToy/SimpleNavigationGoals | 8e5338d1ed0bdf1a8b344f9775e924a1fbb19ad3 | 5f756daa89218f267534197f3eacb8d2de25d39f | refs/heads/master | 2022-04-24T05:27:30.387576 | 2020-04-23T13:01:17 | 2020-04-23T13:01:17 | 254,588,466 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 381 | 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 = "catie_test_scenario"
PROJECT_SPACE_DI... | [
"alexandre.haristoy@gmail.com"
] | alexandre.haristoy@gmail.com |
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