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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
29a7f8fd4f7d2a2ab86528e4452628e868896892 | 46b9f8dd70d2da13ceadfc3ca5ac6fb0ec82acf1 | /examples/solar_cell/log.py | ced1c1cb910fc96c1a639a06053c97d3b4c77d03 | [
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0"
] | permissive | misaelnieto/devsim | 4a2d16705c0f669af4ab4b8cc68ff8957607388c | 1d614ba92c4abea7734df5ee7ecd81e8bca3b12c | refs/heads/master | 2020-03-15T08:44:11.854865 | 2018-08-13T19:58:25 | 2018-08-13T19:58:25 | 123,771,828 | 0 | 0 | Apache-2.0 | 2018-03-04T08:51:41 | 2018-03-04T08:51:41 | null | UTF-8 | Python | false | false | 322 | py | HEADER = '\033[95m'
OKBLUE = '\033[94m'
OKGREEN = '\033[92m'
WARNING = '\033[93m'
FAIL = '\033[91m'
ENDC = '\033[0m'
BOLD = "\033[1m"
def infog(msg):
print(OKGREEN + msg + ENDC)
def info(msg):
print(OKBLUE + msg + ENDC)
def warn(msg):
print(WARNING + msg + ENDC)
def err(msg):
print(FAIL + msg + ENDC... | [
"nnieto@noenieto.com"
] | nnieto@noenieto.com |
5cbbb3255cb564286de601d5a17ec543b88b7f58 | b2b03fe08e5b97f2a53852538c738aa60677a2af | /python/tests/unit/test_maasdriver_vlan.py | 6094efea069d8060b8ca4c388d31aa163f90046c | [
"Apache-2.0"
] | permissive | spyd3rweb/drydock | 8685b82f340f590f75a3893244486754f77c048f | 9d1c65dc87807b694d00564bb9fa4fdd25297dc6 | refs/heads/master | 2020-09-02T09:51:42.220866 | 2020-04-05T18:53:10 | 2020-04-05T18:53:10 | 219,194,440 | 0 | 0 | Apache-2.0 | 2019-11-17T05:41:12 | 2019-11-02T18:12:00 | null | UTF-8 | Python | false | false | 1,813 | py | # Copyright 2018 AT&T Intellectual Property. All other rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required... | [
"sh8121@att.com"
] | sh8121@att.com |
8122cd63318c83fba3251e64209f9f3899bd2f3b | 35942792e6dbec7862dd7bbc1aaec2b76ec0bc85 | /ABC/C/c110.py | 433dbf7458b7562b7e2b7332698102a7372d8afb | [] | no_license | hokekiyoo/AtCoder | 97f870421b513a5366681d1e05ba1e5038dfa077 | 2be1558c71a3ad8e1852645df050bca494b3afca | refs/heads/master | 2020-04-27T17:51:11.337193 | 2019-10-28T11:42:47 | 2019-10-28T11:42:47 | 174,541,189 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 612 | py | from collections import Counter
S = input()
T = input()
import numpy as np
S_num = dict(Counter(S)).values()
T_num = dict(Counter(T)).values()
Ss = np.array([s for s in S_num])
Ts = np.array([s for s in T_num])
if len(Ss) != len(Ts):
print("No")
else:
if all(np.sort(Ss)==np.sort(Ts)):
print("Yes")
... | [
"imslotter1@gmail.com"
] | imslotter1@gmail.com |
5706b504bbfd62978d8f2c01925c25b21fbda95d | 8a72dc41c3628e44c777981d4a4735643084ed95 | /W5/sales_file_io.py | 4f4304f81479d640fdaf5e725dfe7a68748130d7 | [] | no_license | kakalimahapatra/PythonExplore | 9ed0c9a2d290931fd3882e3d586a9fc026c09a92 | 61ed3d9796e2f1bd0f958893f5d2f6e9762f7a66 | refs/heads/master | 2020-04-22T09:11:50.318057 | 2015-05-09T01:47:08 | 2015-05-09T01:47:08 | 34,756,378 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 876 | py | # Name - Kakali Mahapatra
# File I/O
def main():
#reading the file SALES.txt
grandtotal=0
readfile = open('SALES.txt','r')
print("writing these total values into the TOTAL file")
print("Please check the TOTAL.txt file for the result")
outfile = open('TOTAL.txt','w')
print("name", " ... | [
"getkakali@gmail.com"
] | getkakali@gmail.com |
515505b793747253c2090d1532f184922247092c | 5494fe26fdaa2e69d2b3f5e298383fbea1044f88 | /moveit_ros/planning_interface/test/python_move_group_ns.py | 88efc06858d17d9c63c874f793b3b32ff50f71d6 | [
"BSD-3-Clause"
] | permissive | mamoll/moveit | 6b70e41ac5ff28acfee80c48c4d4b070729d3b69 | 353e5dec62ce1060e920c527cf17309cf516831b | refs/heads/kinetic-devel | 2023-03-10T18:17:15.693036 | 2019-09-12T08:44:09 | 2019-09-12T08:44:09 | 212,438,759 | 2 | 0 | BSD-3-Clause | 2019-10-02T20:50:25 | 2019-10-02T20:50:24 | null | UTF-8 | Python | false | false | 3,977 | py | #!/usr/bin/env python
# Software License Agreement (BSD License)
#
# Copyright (c) 2012, Willow Garage, Inc.
# 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 cod... | [
"dave@picknik.ai"
] | dave@picknik.ai |
a38cb63d4933a71216ca298c2595eaceb6005c82 | d32fd3dce3d7a3f6b3c0c47d21e9d21e78e140e1 | /day1/ex6_math.py | 1cf29b6d6ff36c00318ac3a5633a929a55d1a004 | [
"Apache-2.0"
] | permissive | ktbyers/pynet_ons | 0fe77d14d5e1f119396c1f72d98eaeb56849c2ab | 7e84060f547ee8346a6ecb2db68a89d0ddf17aa6 | refs/heads/master | 2021-01-17T17:30:58.832361 | 2016-10-05T23:23:02 | 2016-10-05T23:23:02 | 63,434,341 | 2 | 13 | null | 2016-08-01T19:02:47 | 2016-07-15T16:01:39 | Python | UTF-8 | Python | false | false | 297 | py | #!/usr/bin/env python
num1 = int(raw_input("Enter first number: "))
num2 = int(raw_input("Enter second number: "))
print "\n\nSum: {}".format(num1 + num2)
print "Difference: {}".format(num1 - num2)
print "Product: {}".format(num1 * num2)
print "Division: {:.2f}".format(num1/float(num2))
print
| [
"ktbyers@twb-tech.com"
] | ktbyers@twb-tech.com |
3bdf1c017d00a66aed4a8b527f024a2fd8af0a95 | 552beb5d4f118e4dbe9484b3a7615d9911c03fc3 | /check.py | c3e81bd4341511c54a89c738ec81e71cf29c772c | [] | no_license | WangHaoming/HLS | 684d489a1796cd4e5c565c211b86bec0dd48ea20 | 297eef667b551a52ef1ab081e236ce23a76f242c | refs/heads/master | 2021-01-18T11:08:38.997236 | 2015-06-04T09:23:11 | 2015-06-04T09:23:11 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,203 | py | '''
Created on 2013-4-24
@author: xweiyan
'''
import fileinput
import glob
import hls
import os
import re
import string
import sys
def readfiles(path):
for line in fileinput.input(glob.glob(path + "/*.txt")):
if fileinput.isfirstline():
sys.stderr.write("--reading %s--\n" % fileinput.filename(... | [
"weiyang@wistronits.com"
] | weiyang@wistronits.com |
d1fda44ec807b70aafa3fff5927fd9ecf8ae40a6 | a4fa45a00051bdb4c0f182bbe29d154170c3af9b | /report_printing.py | 420927ae82e8ab5d514f1dea5f3e5203db14ff8f | [] | no_license | yanghaihuo/diabetes_prediction_pyqt5 | 82f55442d4dafd8b9e6aa4ad48f0db98b64ad345 | bcbd14c3941f662e79cbdef5cdf155c567bec96f | refs/heads/master | 2022-11-18T14:32:50.495408 | 2020-07-21T07:53:31 | 2020-07-21T07:53:31 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 864 | py | from jinja2 import Environment, FileSystemLoader
from weasyprint import HTML
#['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age']
def print_report(fname,arr,res):
res=round(res[0][0][0]*100,2)
env = Environment(loader=FileSystemLoader('.'))
tem... | [
"nitishkumarchauhan1996@gmail.com"
] | nitishkumarchauhan1996@gmail.com |
546a1923ba578b58a263e4e4a8c6151cc1b740ea | 84b04d0787cf4cca686f54dcb4ca8eb0a480bdd5 | /src/plonetheme/kasteeldehaar/tests/test_robot.py | 637d955684aa80abb6b0c6a48ffd0cdc2dd7c458 | [] | no_license | plone-ve/plonetheme.kasteeldehaar | 357c1399d2d14d1b07cbd507521af4bfd4182897 | 136e0304b935f3ffb085824ed85d7a71a71924d4 | refs/heads/master | 2023-08-25T15:10:11.249942 | 2016-11-04T16:58:00 | 2016-11-04T16:58:00 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 901 | py | # -*- coding: utf-8 -*-
from plonetheme.kasteeldehaar.testing import plonetheme.kasteeldehaar_ACCEPTANCE_TESTING # noqa
from plone.app.testing import ROBOT_TEST_LEVEL
from plone.testing import layered
import os
import robotsuite
import unittest
def test_suite():
suite = unittest.TestSuite()
current_dir = os... | [
"andreslb1@gmail.com"
] | andreslb1@gmail.com |
d65289fb5d30eaac8f86b4cc9a51781e50c8359d | 8945ff1d0a2ebde75ccb0906c29c1c92afd3419f | /readparqutespark.py | 14e6f20f5efb3cd4ecad47049514d4532e6159e0 | [] | no_license | nikhilpatil19/assignment | d60787fe554994ca54e0011da7b0706b19ab8954 | d031fb3804874fd1f7967e126043455b37e85ed9 | refs/heads/master | 2020-05-13T22:25:26.765548 | 2019-04-16T11:04:18 | 2019-04-16T11:04:18 | 181,667,773 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,147 | py | from pyspark import SparkContext
from pyspark.sql import SQLContext
from pyspark.sql import SparkSession
from pyspark.sql import HiveContext
sc = SparkSession.builder \
.master("local") \
.enableHiveSupport() \
.appName("parquets") \
.config("spark.some.config.option", "some-value") \
.getOrCreate... | [
"nikhil.patil@emtecinc.com"
] | nikhil.patil@emtecinc.com |
912198bc71c0aca72cd66b68a560dd698503898a | 72200c201fcc6d2ebed915e902ecca35469b904f | /server/ca/models.py | 4584a48b6628705110851e08974e633e5e46d84a | [
"MIT"
] | permissive | knaou/mysign | a86f68c78b2b84f163af5afb1f40ca1cdb95187a | 83a2748f2e3a69bc8741bc6a4ee2bb508a8aadba | refs/heads/master | 2021-11-03T05:31:43.581688 | 2020-05-28T16:05:47 | 2020-05-28T16:05:47 | 176,100,477 | 0 | 0 | MIT | 2021-09-01T01:57:14 | 2019-03-17T12:50:59 | Python | UTF-8 | Python | false | false | 1,140 | py | from django.db import models
class CertificateAuthority(models.Model):
name = models.CharField(max_length=255, null=False)
description = models.TextField(null=False, blank=True, default='')
next_serial = models.IntegerField(null=False)
key_pem = models.TextField(null=False)
csr_pem = models.TextFi... | [
"monaou@gmail.com"
] | monaou@gmail.com |
9203c91286bc5ec6669b399df3679ab852e02685 | 35f102cb79a609770ee4d2bccd4c9b79d4379295 | /setup.py | 90c54bd55e7322d5ef4c3507cd8326528359c88d | [
"MIT"
] | permissive | ahitrin/SiebenApp | b404aab2fb248db4a8bec727b25c73aa574e23e8 | 07782976bddecb1e3ba1ca2ab03ccbad024beda1 | refs/heads/master | 2023-08-16T16:25:32.409525 | 2023-08-14T06:53:07 | 2023-08-14T07:26:14 | 74,811,457 | 18 | 1 | MIT | 2023-09-11T06:08:01 | 2016-11-26T07:28:17 | Python | UTF-8 | Python | false | false | 373 | py | #!/usr/bin/env python3
from distutils.core import setup
setup(
name='SiebenApp',
version='0.12',
description='An experimental dependency-aware goal manager',
author='Andrey Hitrin',
author_email='andrey.hitrin@gmail.com',
url='https://github.com/ahitrin/SiebenApp',
packages=['siebenapp'],
... | [
"andrey.hitrin@gmail.com"
] | andrey.hitrin@gmail.com |
7cfb4549c04fd2a922479184e4f8fa07cafb908d | 56417f91c7a66ba5ba77380aa8f1433299f0fadc | /ranker/asf.py | 2d305c1732594750aa95b60fbf19bdcd105bfaa8 | [] | no_license | zbanks/rankazoo | ef6a1b7836c7c9acab9eb806d85ba4a068d75102 | a6972c7bf48c559e846d3adaa4cde8bac088fa88 | refs/heads/master | 2021-01-10T20:14:12.301878 | 2012-12-08T07:53:13 | 2012-12-08T07:53:13 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,799 | py | from django.db.models import CharField
from django.utils.encoding import force_unicode
from django.template.defaultfilters import slugify
def _get_field(instance, name):
try:
return getattr(instance, name)
except AttributeError:
raise ValueError("Model %s has no field '%s'" % \
... | [
"zbanks@mit.edu"
] | zbanks@mit.edu |
9f900007269828e38296a9cb405a59c496d3de71 | 2479f74eec86d34c65f7c3b132346ca303e3cc23 | /TrueHome/TrueHome/wsgi.py | 41a3f3ce490255137f3a52f83adcb3749fc0b377 | [
"MIT"
] | permissive | AletzB/true_home_test | 2cdfa11161bc5258221e2d7ea2c0449ba73622ef | fc03fdf1ef09fe6283a4cd706c06e0a5a413a36d | refs/heads/main | 2023-03-05T15:26:54.785018 | 2021-02-16T22:33:01 | 2021-02-16T22:33:01 | 339,537,664 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 393 | py | """
WSGI config for TrueHome 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_SETT... | [
"alexanderbermudez@usantotomas.edu.co"
] | alexanderbermudez@usantotomas.edu.co |
d64822947bd318ef999a252c8a3923e1a6f107a8 | f654f5f07dd8109c0ee31ba89dd4804e6b288343 | /src/programy/utils/oob/email.py | 7ce0678ee5141d87a71f7ce51bfe85ecb32f96c5 | [
"MIT"
] | permissive | sprinteroz/program-y | 3d1f5f28e4f3be770705d4bef15410b8b78f19da | 454c6bde225dce7c3fb01c549d46249248caf7b5 | refs/heads/master | 2021-01-19T16:05:25.636700 | 2017-08-22T03:56:33 | 2017-08-22T03:56:33 | 100,986,551 | 1 | 0 | null | 2017-08-21T19:43:43 | 2017-08-21T19:43:43 | null | UTF-8 | Python | false | false | 1,220 | py | import logging
import xml.etree.ElementTree as ET
from programy.utils.oob.oob import OutOfBandProcessor
"""
<oob>
<email>
<to>recipient</to>
<subject>subject text</subject>
<body>body text</body>
</email>
</oob>
"""
class EmailOutOfBandProcessor(OutOfBandProcessor):
def __init__(... | [
"keith@keithsterling.com"
] | keith@keithsterling.com |
910d89742125c89f6d83d759cdbd1a70be21888b | b29589f95734682663ae6cd40ab00eb0a94b6d87 | /longwave/lblnew_20160916/study__g1_threshold/h2o/conc_None/band02_wn_340_540/nv_1000/dv_0.001/ng_11/g_ascending_k_descending/refPTs_P_1_T_250__P_10_T_250__P_500_T_250/ng_refs_2__3__6/ng_adju_-2__-2__0/getabsth_auto__auto__auto/absth_dlogN_uniform__dlogN_uniform__dlogN_uniform/klin_none/atmpro_saw/wgt_k_1/wgt_0.6_0.6__... | 3f670efc4d7a78f1fba5f8514ea4cd44e2aa502f | [] | no_license | qAp/offline_radiation_notebooks | 02c2b2414ef1410f235776001a668f7df0b9f1cf | 44fb62391c27e4e314ad68ae3e91f6111b3172c5 | refs/heads/master | 2020-04-15T14:31:34.675322 | 2019-07-08T04:45:54 | 2019-07-08T04:45:54 | 43,118,324 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,073 | py | DIR_FORTRAN = '/chia_cluster/home/jackyu/radiation/crd/LW/examples/separate_g_groups/study__lblnew_g1_threshold/h2o/conc_None/band02_wn_340_540/nv_1000/dv_0.001/ng_11/g_ascending_k_descending/refPTs_P_1_T_250__P_10_T_250__P_500_T_250/ng_refs_2__3__6/ng_adju_-2__-2__0/getabsth_auto__auto__auto/absth_dlogN_uniform__dlogN... | [
"llacque@gmail.com"
] | llacque@gmail.com |
5e494f738e2347aa42a5db0272e5ee6fb9c74abf | 310fbab72b4b4f1c308a7ddefd34cb04e54b1fa0 | /care/migrations/0003_patient_status.py | 12be556c703104420aa886fc4548c291b78f1309 | [
"MIT"
] | permissive | GituMbugua/patient-care | 767748c764b2fd9269f2328a17be18edbfa09007 | 79935ff27ebef5c160ac77e0c958c31c6dccb3f6 | refs/heads/master | 2021-08-30T00:04:17.584295 | 2017-12-15T10:59:11 | 2017-12-15T10:59:11 | 113,864,824 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 567 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.11.7 on 2017-12-13 17:03
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('care', '0002_auto_20171213_1204'),
]
operations = [
migrations.AddField(
... | [
"gmbugua38@gmail.com"
] | gmbugua38@gmail.com |
257df738efd0e547ba5ba634c311402e70e970cf | 683066a6da961f3539037d2763dca05bbb317280 | /zip.py | 3dd7b5163052f50e93a095da97cdf270cc46cdc1 | [] | no_license | zmwieand/PDF-Scrapper | df41c223c8c4514774ae1c7660fd231ff7765cd4 | e430b2862943365f7299f4154ce807f7fca8b9fd | refs/heads/master | 2016-09-05T19:33:01.360604 | 2015-07-21T04:06:10 | 2015-07-21T04:06:10 | 39,423,057 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 772 | py | import os
import zipfile
from shutil import copyfile
def download_clicked(selected_list):
# make a list of all file names to be downloaded
cp_files(selected_list)
zip_folder()
# clean out Download/ directory
rm_files()
def cp_files(selected_files):
for a in selected_files:
current = "s... | [
"zmwieand@gmail.com"
] | zmwieand@gmail.com |
636eabbfe9b1909c7aaa44fde421170464adefb2 | 7cf04200a04a92a682f50bbd3866ec1e0052278b | /ddosdb/ddosdb/apps.py | d476e18379ef2a359e7ff3b1dafdf87d0542971c | [] | no_license | ddosgrid/ddosdb | ca2a75816eeb81e45f25a9ee2d1d2b81cd496271 | 8491535c245d56fcf770fc3d7689f2ae4bc14559 | refs/heads/master | 2023-02-21T07:42:48.986929 | 2021-01-21T14:09:22 | 2021-01-21T14:09:22 | 294,374,673 | 0 | 0 | null | 2020-09-10T10:14:37 | 2020-09-10T10:14:36 | null | UTF-8 | Python | false | false | 87 | py | from django.apps import AppConfig
class DdosdbConfig(AppConfig):
name = 'ddosdb'
| [
"remco.poortinga@surfnet.nl"
] | remco.poortinga@surfnet.nl |
f5db9f6c7200aa09c359fa4156c99124cbaf9b9a | a7e09640c081cf858f30c3cc3fe2d6ffc986eb7c | /gui/system/migrations/0008_auto_20170906_2335.py | ead8a168e06533db3ffd002005ee3b25fcc68f3b | [] | no_license | cbwest3/freenas | 3fbeffe66c78a375843f138afd1ee306954a9c87 | 9947174014dd740145d540f03c1849a851f3b6e7 | refs/heads/master | 2021-04-30T13:59:53.975592 | 2018-02-12T05:25:55 | 2018-02-12T05:25:55 | 121,202,118 | 1 | 0 | null | 2018-02-12T05:01:39 | 2018-02-12T05:01:38 | null | UTF-8 | Python | false | false | 869 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.10.7 on 2017-09-06 23:35
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('system', '0007_auto_201708211858'),
]
operations = [
migrations.AddField(
... | [
"wg@FreeBSD.org"
] | wg@FreeBSD.org |
9d2fa34a66d6dbc7159a496377e64a378cf8bf8a | ebd5c4632bb5f85c9e3311fd70f6f1bf92fae53f | /P.O.R.-master/pirates/npc/BossAI.py | 20a0702863d316eba876ab90f147f6b3362cec96 | [] | no_license | BrandonAlex/Pirates-Online-Retribution | 7f881a64ec74e595aaf62e78a39375d2d51f4d2e | 980b7448f798e255eecfb6bd2ebb67b299b27dd7 | refs/heads/master | 2020-04-02T14:22:28.626453 | 2018-10-24T15:33:17 | 2018-10-24T15:33:17 | 154,521,816 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 568 | py | from direct.distributed import DistributedObjectAI
class BossAI(DistributedObjectAI.DistributedObjectAI):
def ___init___(self, air):
DistributedObjectAI.DistributedObjectAI.__init__(self, air)
def announceGenerate(self):
DistributedObjectAI.DistributedObjectAI.announceGenerate(self)
def ... | [
"brandoncarden12345@gmail.com"
] | brandoncarden12345@gmail.com |
f47be1e90574e504511a04096a3f2df63f0e990b | 6f3899860af3546672092072e77401aa07eb78b7 | /Week5 HW/Week5HW-synthetic3.py | dd50652fa984fd26929659f4ef588676d9811ec6 | [] | no_license | winnie800821/EE559_Pattern_Recognition | 2f0ad4d270ddf0cb01f401a857e6580868d44f6e | fc080c7a810a2bf6594be756957ec4843b09524a | refs/heads/master | 2021-03-28T05:32:54.268336 | 2020-03-17T06:43:49 | 2020-03-17T06:43:49 | 247,841,953 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,910 | py | import numpy as np
import matplotlib.pyplot as plt
import math
from scipy.spatial.distance import cdist
np.set_printoptions(threshold=np.inf)
import plotDecBoundaries_revised as pDBR
feature_train = np.loadtxt(open("feature_train.csv"),delimiter=",")
label_train = np.loadtxt(open("label_train.csv"),delimiter=",")
tra... | [
"60027808+winnie800821@users.noreply.github.com"
] | 60027808+winnie800821@users.noreply.github.com |
f07504b3b4c9717a85031b9b16b66da1b901b37c | 309d452ec97f7003e2ef681bde102986c373ebaf | /djangoAdmin/asgi.py | 59e54533ae58cfc71ac7cd20b79abb86954c498f | [] | no_license | CleytonCLois/APS-2020 | b2c99488a8e2ddef35e32163fdeddb64b6c00450 | 479330a416798e8ca6158f055f59ecbdd46a96a2 | refs/heads/master | 2023-07-11T10:07:38.138180 | 2020-11-18T00:00:36 | 2020-11-18T00:00:36 | 265,688,681 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 399 | py | """
ASGI config for djangoAdmin 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/dev/howto/deployment/asgi/
"""
import os
from django.core.asgi import get_asgi_application
os.environ.setdefault('DJANGO_S... | [
"cleytonclois@gmail.com"
] | cleytonclois@gmail.com |
c41d4a8545a558b242743537e1ac944437a90c6d | 448a18bb54062a5e477f17adc3e2dbf7f5d19586 | /preparation/get_density_map_gaussian.py | a122a91d4b95a63824a9e382f05cccc8cf12269a | [] | no_license | guoswang/Crowd-Counting | ae65e3f567e96ea7d31f9099e5ab757abee5b153 | 1c1e1b3f712039a7411dd405ff01c984cc9d5673 | refs/heads/master | 2020-04-16T13:29:45.938637 | 2018-09-25T14:52:33 | 2018-09-25T14:52:33 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,981 | py | import numpy as np
import math
def matlab_style_gauss2D(shape=(3, 3), sigma=0.5):
"""
2D gaussian mask - should give the same result as MATLAB's
fspecial('gaussian',[shape],[sigma])
"""
m, n = [(ss - 1.) / 2. for ss in shape]
y, x = np.ogrid[-m:m + 1, -n:n + 1]
h = np.exp(-(x * x + y * y) ... | [
"609012488@qq.com"
] | 609012488@qq.com |
cb860b9132b59035ea6c32bbac91d56cf9d58630 | 827e04177a3bec11aaa2a73eb124538e6712d7d8 | /blog/migrations/0005_blogpost_views.py | 3e51c827359ab40ec46b500b7538db4de86bd0f3 | [] | no_license | iamajaykharat/TechnoWorld-Dynamic-Blog | de938f11925346c2047e3436ecd57522096758ae | d1dad8f7c451e7516b76cea3623b74dac87a70ac | refs/heads/master | 2023-08-15T03:13:12.745049 | 2020-07-18T11:15:53 | 2020-07-18T11:15:53 | 280,628,874 | 0 | 0 | null | 2021-09-22T19:27:27 | 2020-07-18T10:00:52 | HTML | UTF-8 | Python | false | false | 401 | py | # Generated by Django 3.0.8 on 2020-07-18 09:11
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('blog', '0004_blogcomment'),
]
operations = [
migrations.AddField(
model_name='blogpost',
name='views',
f... | [
"iamajaykharat@gmail.com"
] | iamajaykharat@gmail.com |
d5d7b8d6c78ac89d67efcee7fda2c0c241f8e41c | 9b0b746bffa1bc4b54ee46397d4ca837c0a62733 | /SocialMedia Project/backends/apps/userprofile/migrations/0002_userprofile_bio.py | 8605f48c0553749091fcf2da8045831155f47930 | [] | no_license | indalyadav56/Django-React-Projects | 548b1132f713b8466e6254a70c4c69ac8f6ad328 | a01b7a770f77ddf804caf0ee78b50a6a38ace0ee | refs/heads/main | 2023-06-23T06:26:28.399644 | 2021-07-09T23:23:15 | 2021-07-09T23:23:15 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 385 | py | # Generated by Django 3.1 on 2021-05-23 11:49
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('userprofile', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='userprofile',
name='bio',
... | [
"yadavindal269@gmail.com"
] | yadavindal269@gmail.com |
f4b6d2cb02e5d3c46fa681499e99a27767d36b5e | 7e24d101e793afa60cb4252f3b9bf8726c104a9c | /petaldata/datasets/stripe/reports/abstract_stripe_report.py | 8bbc43f639030b11e5cbc35f9ccbe8208d974f47 | [
"MIT"
] | permissive | petaldata/petaldata-python | 42fbe496ee259a2ffd4f083f5d420f28be273e44 | 6d3b7bdc8f2d6f6ef86f7e61606ffebed168c81d | refs/heads/master | 2020-05-16T14:34:28.724775 | 2019-06-06T22:47:49 | 2019-06-06T22:47:49 | 183,106,671 | 3 | 1 | null | null | null | null | UTF-8 | Python | false | false | 3,209 | py | import pandas as pd
import datetime
from datetime import datetime
from datetime import date
import pygsheets
import petaldata
from petaldata.datasets.stripe.reports import query_filters
from petaldata.datasets.stripe.reports.adjusted_invoices import AdjustedInvoices
class AbstractStripeReport(object):
def __init__... | [
"derek.haynes@gmail.com"
] | derek.haynes@gmail.com |
dae4dad98f402fcd4f26493669a7c17624c0be8f | e7e4b4ee58aeb8d55ee4d301ff6debaaf6c1e3ff | /app/constansts.py | 60726dba9c0dd5a19ed7d997680ee0426737782f | [] | no_license | eduna75/news-reader | ef724a25536902d56259806f42a9b2d7948550b6 | d18775f52a6f6db8be1527a04c29f85ab2a90e67 | refs/heads/master | 2023-05-27T03:01:07.780629 | 2020-02-19T14:33:18 | 2020-02-19T14:33:18 | 30,923,274 | 0 | 0 | null | 2019-10-05T12:21:36 | 2015-02-17T15:33:43 | HTML | UTF-8 | Python | false | false | 233 | py | # User role
ADMIN = 0
STAFF = 1
USER = 2
ROLE = {
ADMIN: 'admin',
STAFF: 'staff',
USER: 'user',
}
# User status
INACTIVE = 0
NEW = 1
ACTIVE = 2
STATUS = {
INACTIVE: 'inactive',
NEW: 'new',
ACTIVE: 'active',
} | [
"justus@justus.justus"
] | justus@justus.justus |
2a63560da1481242bfff318fc858f7393a06df42 | 44080d747fd7454c11d575baaa4dcd17acc2b362 | /gamelogic.py | 9f18ae845471796a06a89c45078b8bb4589a2b0b | [] | no_license | oltyan/mathmagical | 545fd38e552becc50067558dcaf0bb652c253fdb | 73cc3869323d4914044098bfa918f03613eb0b0d | refs/heads/master | 2021-09-02T06:21:43.263209 | 2017-12-31T01:01:44 | 2017-12-31T01:01:44 | 109,418,597 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,759 | py | import random
def get_continue(hp,enemy_count):
if hp > 0 and enemy_count > 0:
return True
else:
return False
def choose_difficulty():
print("Please Select a difficulty: \n"
"1. Easy (5 mosters, 0-10 numbers\n"
"2. Challenge (8 monsters, 0-20\n"
"3. Brutal (10... | [
"oltyan@gmail.com"
] | oltyan@gmail.com |
06aaaeed472b7854be2301e974e4720c1124be28 | ae0de2f4bc8e7436a4c6e789b6249fc51a9404d0 | /Speaker_Verification/src/layers/batch_preprocess.py | 16c0077eb3fcfa2ec82ff3d5c5d709a650256c1c | [
"MIT"
] | permissive | TaeYoon2/KerasSpeakerEmbedding | 69e1046ea401c7813fd032b5bd0fc9f2700d4a3b | a4a53ac0c209a283cab4969d61305f056a99b6c3 | refs/heads/master | 2020-11-25T20:27:05.072887 | 2019-12-18T12:28:54 | 2019-12-18T12:28:54 | 228,831,223 | 5 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,502 | py | import tensorflow as tf
class Batch_preprocess(tf.keras.layers.Layer):
def __init__(self, sr, fft_hop, fft_window, nfft, nmel, mode, window, hop, **kwargs):
self.sr = sr
self.fft_hop = fft_hop / 1000
self.fft_window = fft_window / 1000
self.nfft = nfft
self.nmel = nmel
... | [
"lty92@naver.com"
] | lty92@naver.com |
1cb1a5a7d714a543f49ebabf54a2b5ea99009cc6 | 85a9ffeccb64f6159adbd164ff98edf4ac315e33 | /pysnmp-with-texts/DFL260-MIB.py | 125dad8d74ee966bee6ebfc13c5c740e0dec552b | [
"Apache-2.0",
"LicenseRef-scancode-warranty-disclaimer",
"LicenseRef-scancode-proprietary-license",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | agustinhenze/mibs.snmplabs.com | 5d7d5d4da84424c5f5a1ed2752f5043ae00019fb | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | refs/heads/master | 2020-12-26T12:41:41.132395 | 2019-08-16T15:51:41 | 2019-08-16T15:53:57 | 237,512,469 | 0 | 0 | Apache-2.0 | 2020-01-31T20:41:36 | 2020-01-31T20:41:35 | null | UTF-8 | Python | false | false | 96,348 | py | #
# PySNMP MIB module DFL260-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/DFL260-MIB
# Produced by pysmi-0.3.4 at Wed May 1 12:42:07 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:... | [
"dcwangmit01@gmail.com"
] | dcwangmit01@gmail.com |
3d76da29d6541bdb7ca2bb2cb1dd9e631ec40f74 | bbe420ca711776140452b5639b935e37feb7d8ea | /Task1/chapter26.py | f2970c154dab1352dd124f107528c2c59dac5de3 | [] | no_license | shkhaider2015/artificial_intelligence | 9f2f156ab2cadcdc38f2c576f1af66667f21dc86 | 785e00dac28cec64a4b35068dbef0d1dcfc5ff3c | refs/heads/master | 2020-03-28T20:27:33.406289 | 2018-11-22T09:11:25 | 2018-11-22T09:11:25 | 149,072,716 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 163 | py | Data = {
"Name:": "Usama Riaz",
"ID:": "1500-2015",
"Age:": "21",
"DOB:": "29/05/1997",
"Location:": "Karachi"
}
for a,b in Data.items():
print(a,b) | [
"43218437+shkhaider2015@users.noreply.github.com"
] | 43218437+shkhaider2015@users.noreply.github.com |
df93f65d97755a6b38917bb204e856bbf90a7efd | a0947c2778742aec26b1c0600ceca17df42326cd | /Python/PythonInADay2/CSV-Files-Drill/37of79-119.py | 7707852ef6e09fc8a3743fa9851f02ce0b0f3c43 | [] | no_license | JohnCDunn/Course-Work-TTA | 5758319d4607114914ba9723328658bed8fb2024 | 8c4f60d51007dac2ac4cceb84b0f9666e143c0d7 | refs/heads/master | 2021-01-10T16:37:02.609879 | 2016-02-01T18:05:38 | 2016-02-01T18:05:38 | 49,983,248 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,560 | py | import wx, db_program
class Frame(wx.Frame):
def __init__(self, title):
wx.Frame.__init__(self, None,\
title=title, size=(800,600))
panel = wx.Panel(self)
# Creating the menu bar
menuBar = wx.MenuBar()
fileMenu = wx.Menu()
exitItem = fileMenu.Append(wx... | [
"JohnClydeDunn@Gmail.com"
] | JohnClydeDunn@Gmail.com |
de5eea017c032a61da30c0fc838bd5c7842e7b01 | 7ad35f591c8ac671022eb02fa0de3f76b767345b | /_static/scripts/part2/helloobject/run_hello.py | dff12d4f74edd27ded2abce5bb1db3c176a9443b | [
"CC-BY-4.0"
] | permissive | mattsinc/learning_gem5 | 8d68ca4290ef34312d75580c98797fe3ce47f265 | 702f89f6b657e5d9201978333e56f2882e6f49fe | refs/heads/master | 2021-01-23T08:33:19.830467 | 2018-09-14T05:02:38 | 2018-09-14T05:05:51 | 102,510,868 | 0 | 0 | null | 2017-09-05T17:29:40 | 2017-09-05T17:29:40 | null | UTF-8 | Python | false | false | 2,359 | py | # -*- coding: utf-8 -*-
# Copyright (c) 2016 Jason Lowe-Power
# 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 o... | [
"power.jg@gmail.com"
] | power.jg@gmail.com |
db0aaaaee506d0a2bec90b0566b95ef7f862eee9 | 2dc50cd2aaf094bb4ceafc06d0a32633dc2b0c6b | /imagenet/models_cifar/resnet2.py | bb780ffbcf985c6bf700b75255f586ece5a8acb1 | [] | no_license | jaykuo2005/RBNN | 3a17b57ad75e9e94a27e36b18d7fdcf7707f7080 | f7df8d66bf4b67030fc5a399a37be6df94332e64 | refs/heads/master | 2023-03-24T09:11:48.088776 | 2021-03-15T05:15:32 | 2021-03-15T05:15:32 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,704 | py | '''ResNet in PyTorch.
For Pre-activation ResNet, see 'preact_resnet.py'.
Reference:
[1] Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
Deep Residual Learning for Image Recognition. arXiv:1512.03385
'''
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.nn.init as init
from modules ... | [
"791411501@qq.com"
] | 791411501@qq.com |
41e10feedfe876d5f99cdf53a89cb472419a65d8 | 1ab04c85e37f1d5fc49dcf8054fd551104a1ad58 | /helloworld.py | 6ed25b2f85330ac67172666f6458a4af939a189a | [] | no_license | htetphyoaung97/Athina | 33a4286d4bf5998fbbad9b0be25d4c13246ffc87 | 0c55df96604656b5efa05fd65d11c6b0337e7392 | refs/heads/master | 2022-11-16T17:55:16.234385 | 2020-07-17T08:50:13 | 2020-07-17T08:50:13 | 280,368,853 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 128 | py | input1 = input("Enter Your First Name:")
input2 = input("Enter Your Last Name:")
result = input1 + " " + input2
print(result) | [
"dev.htetphyoaung@gmail.com"
] | dev.htetphyoaung@gmail.com |
1695a61483d9bea6d281bfd9b4b698c7c37bdbc1 | 1e1efdc1900ec0242dfb1c7a425f5b7874241054 | /NLG_Rap_Bot/CreateIndex_NLG.py | 545bd4a7ba00a8d9198e353635bffcc58e0d3007 | [] | no_license | liam9/FreeStyle | 01bcda77a16ef1b2beacab9840ba521f6dbc09ed | b65a4ac668cb2dc24c689cec20aa3509d472d327 | refs/heads/master | 2020-03-26T15:57:09.864565 | 2018-08-17T05:47:32 | 2018-08-17T05:47:32 | 145,073,467 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,006 | py | '''
This file indexes the lyrics so that the rhymes can be found very quickly
'''
import sys,os
dir = os.path.dirname(__file__)
'''
This function indexes the lyrics. The index acts like a dictionary where the key is the rhyme and the value is
the sentence which the rhyme is in.
'''
def IndexLyrics... | [
"noreply@github.com"
] | liam9.noreply@github.com |
915d93ebfb350f0981dab2804861e7fe19306cc7 | b0ede55e98d454f558e5397369f9265893deedb5 | /SWEA/D3/4698_special_prime.py | 7e90335df7e3a59a8beb755177ef82b1905f53a7 | [] | no_license | YeonggilGo/python_practice | 5ff65852900c4c6769d541af16f74a27a67920ec | 43082568b5045a8efc1d596074bdca3e66b2fed1 | refs/heads/master | 2023-06-22T02:09:31.906745 | 2023-06-17T01:27:22 | 2023-06-17T01:27:22 | 280,361,205 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 499 | py | primes = []
numbers = [True] * 1000001
numbers[0], numbers[1] = False, False
for i in range(2, 1000001):
if numbers[i]:
primes.append(i)
for j in range(i, 1000001, i):
numbers[j] = False
T = int(input())
for tc in range(1, T + 1):
D, A, B = map(int, input().split())
ans = 0
for prim... | [
"dudrlf1859@naver.com"
] | dudrlf1859@naver.com |
ac25687848306c6a9cff59e9ab2267b666d426d9 | 71f00ed87cd980bb2f92c08b085c5abe40a317fb | /BestOreo/W2V_CNN_robustchecking.py | e2d480f65e769e2d5e81dee662d63187818b0ca9 | [] | no_license | factoryofthesun/Rao-NLP | 2bd8269a8eed1cb352c14c8fde88e3111ccca088 | 87f9723f5ee51bd21310d58c3425a2a7271ec3c5 | refs/heads/master | 2023-04-18T08:54:08.370155 | 2020-06-09T23:24:07 | 2020-06-09T23:24:07 | 248,070,291 | 0 | 1 | null | 2021-04-30T21:13:04 | 2020-03-17T20:49:03 | Python | UTF-8 | Python | false | false | 9,146 | py | # -*- coding: utf-8 -*-
"""Shuaiqi_train.ipynb
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/11DfSUkrGQfPsEtfHoJxewiBcqBM8OlfZ
"""
# Commented out IPython magic to ensure Python compatibility.
# %tensorflow_version 1.x
import tensorflow as tf
import ... | [
"guanzhi97@gmail.com"
] | guanzhi97@gmail.com |
0b03d074fa0c57ddbd4539401be24204d3559b54 | 322df586ef094872d4c4609097bcf3e52c361695 | /test/operations/math/test_div.py | c8d4161e541ba3d40cd52468dfb862576e53b667 | [
"MIT"
] | permissive | xpenalosa/PyPc | 04b19d05d8628d39f9bc8759e3875620cce89c06 | fff3ae29b800d127d261492098aecbbf6719bd07 | refs/heads/master | 2020-12-09T06:22:11.306317 | 2020-02-16T21:11:30 | 2020-02-16T21:11:30 | 233,220,411 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,282 | py | from pypc.memory import MemoryTypes
from pypc.operations import Operations
from test.operations.operation_test import OperationTestBase
class DivTest(OperationTestBase):
def test_div_basic(self):
memory_type = MemoryTypes.BASIC
initial_data = "\n".join([
"DIV 8, 2, 0"])
expect... | [
"xavier.penalosa.esteller@gmail.com"
] | xavier.penalosa.esteller@gmail.com |
cf8ae1bf18dadeb8aa363dc03bb7037db385880c | 3747768c664256fe65108b4bc21e6baa7eb7a613 | /ex5_2.py | 134e8bdceb2cf74704904190393ea28a661a4674 | [] | no_license | Ellzud/Python_Hard | c4a41e606620b426c7e16410190598d30049e17c | 32c1bb12f18bde9b1d7d7516cd4621ac9416ab8d | refs/heads/master | 2020-03-12T15:53:32.439419 | 2018-04-25T13:54:39 | 2018-04-25T13:54:39 | 130,702,309 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 637 | py | # Learn python the hard way
# exercise 5
# more variables and printing
# Rafael Serrano 4/23/2018
name = 'Zed A. Shaw'
age = 35 # not a lie
height = 74 # inches
weight = 180 # lbs
eyes = 'Blue'
teeth = 'White'
hair = 'Brown'
print "Let's talk about %s." % name
print "He's %d inches tall." % height
print "he's %d poun... | [
"serrano.rafael1@gmail.com"
] | serrano.rafael1@gmail.com |
a315cc93eb48378a0694c0131b8d1a8bd460e157 | 432b9b1ba469ef94ffd93065d4fde5d8c89f1a6e | /DM3/src/data.py | 22298997aad2e1ff16e001bfe849a1acca56c01a | [] | no_license | NelleV/SVM | 0ea9931e2152d6200ef094325a9f1838eed99943 | a46cfecb7f5d4361a93d36bdf85c2cc76c72838b | refs/heads/master | 2020-06-05T07:31:34.034416 | 2012-03-06T19:36:40 | 2012-03-06T19:36:40 | 3,238,738 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 392 | py | import csv
import numpy as np
def libras_movement():
"""
Fetches the Libras Movement dataset
Returns
-------
X, Y
"""
dataset = csv.reader(open('data/movement_libras.data', 'r'))
X = []
Y = []
for element in dataset:
X.append(element[:-1])
Y.append(element[-... | [
"nelle.varoquaux@gmail.com"
] | nelle.varoquaux@gmail.com |
13cfea6db55dada74d7680481f21ba2ede13b5c4 | 616024faf0f95aafb76db2f6caa96c5aa2fccbf0 | /session.py | a8ae892a5f0b1041e9f8ff87a3aff9387c6a857b | [] | no_license | Shevane12/Chisel | 154f0025664f23c0eaf52ebcb64aa3a7c2495115 | d3a7e8a5926e5ed9ed6edf0fed6e166387352e8c | refs/heads/master | 2022-12-30T05:56:08.033868 | 2020-10-23T23:27:48 | 2020-10-23T23:27:48 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,057 | py | from requests import Session
from selenium.webdriver import Chrome
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support.expected_conditions import title_is
from selenium.common.exceptions import TimeoutException
from selenium.webdr... | [
"deboer.wilco@gmail.com"
] | deboer.wilco@gmail.com |
a82beeb3c4f4b2b11632854d1f7251427ba6389b | 9d5c9d9373002ab4ed1b493136517e8b4ab160e5 | /saas/backend/apps/application/migrations/0009_auto_20200902_1134.py | 1040ea6a30228a6fcf4b7f4921d2955e0bf91fbf | [
"MIT"
] | permissive | robert871126/bk-iam-saas | f8299bb632fc853ef0131d445f84c6084fc84aba | 33c8f4ffe8697081abcfc5771b98a88c0578059f | refs/heads/master | 2023-08-23T19:23:01.987394 | 2021-10-22T09:45:28 | 2021-10-22T09:45:28 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,183 | py | # -*- coding: utf-8 -*-
"""
TencentBlueKing is pleased to support the open source community by making 蓝鲸智云-权限中心(BlueKing-IAM) available.
Copyright (C) 2017-2021 THL A29 Limited, a Tencent company. All rights reserved.
Licensed under the MIT License (the "License"); you may not use this file except in compliance with th... | [
"zhu327@gmail.com"
] | zhu327@gmail.com |
5fa380db591b15f03f9b47603efafac84ba50a64 | 994e60f19bf8cf45317cf48a92bee64ac798eb44 | /code/loop.py | b487f1a007b8844e7844a0e86234323c812c3b58 | [] | no_license | ozntur/col_oil_prod | ad74e9182d594ca30cda213d8e7648cb8e8e0c4b | 15247b2c937a7f5cf6ee64e520f74578fc07ca11 | refs/heads/master | 2022-11-07T05:52:02.642364 | 2020-07-02T18:43:27 | 2020-07-02T18:43:27 | 276,159,482 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 959 | py | # USEFUL LOOP TO DOWNLOAD DATA
import geopandas as gpd
import pandas as pd
ds = gpd.read_file('data/WELLS_SHP/Wells.shp')
print('asd')
#print('done')
print(ds.API[ds.Facil_Stat == 'PR'])
#print('done')
d = {}
for x in (ds.API[ds.Facil_Stat =='PR']):
a = ds.API_County.loc[ds.API == x].item()
b = ds.API_Seq.lo... | [
"ozan.turkes@gmail.com"
] | ozan.turkes@gmail.com |
92477151719bfd2fe4fb01b879caecf255490283 | 9fa57500b2f5201048da971d1e5e5cc4af056dc9 | /tests/unit/models/reddit/test_inline_media.py | ec5a18607b1761d46a42e6768b73a9a6810a1df5 | [
"BSD-2-Clause"
] | permissive | LilSpazJoekp/asyncpraw | 7fc95bf88f875010097d601e7f488748392fedf6 | afddfb770b31a08f06a1b8ced6af803e499804e7 | refs/heads/master | 2022-04-01T09:42:42.035001 | 2022-03-04T21:32:09 | 2022-03-04T21:32:09 | 320,988,731 | 0 | 0 | BSD-2-Clause | 2020-12-13T05:19:57 | 2020-12-13T05:10:34 | null | UTF-8 | Python | false | false | 2,307 | py | from asyncpraw.models import InlineGif, InlineImage, InlineMedia, InlineVideo
from ... import UnitTest
class TestInlineMedia(UnitTest):
def test_equality(self):
media1 = InlineMedia(path="path1", caption="caption1")
media1.media_id = "media_id1"
media2 = InlineMedia(path="path1", caption=... | [
"15524072+LilSpazJoekp@users.noreply.github.com"
] | 15524072+LilSpazJoekp@users.noreply.github.com |
92322e9b068c373a41915258ab7f5d03e802e076 | 187dfad282778ba66c9fbc410e53a25410b8ad57 | /hellosign_python_sdk/tests/functional_tests/test_team.py | cb8dc2198a36e323e5900c81bbf5c88276884f63 | [] | no_license | binti-family/hellosign-python-sdk | eaff6f0bd1d1905cc5a0e64d6cd7e9b70adad8b3 | 5acf8c74c4ae85e6a7be9e850d8d1f2a55c11595 | refs/heads/master | 2021-01-21T02:41:13.123103 | 2014-03-26T08:00:22 | 2014-03-26T08:00:22 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,489 | py | from unittest import TestCase
from hellosign_python_sdk.tests.test_helper import api_key
from hellosign_python_sdk.hsclient import HSClient
from hellosign_python_sdk.resource.team import Team
from hellosign_python_sdk.utils.exception import NotFound, HSException, InvalidEmail, Forbidden
class TestTeam(TestCase):
... | [
"minhdanh@tgm.vn"
] | minhdanh@tgm.vn |
62eaf9858c418fef633ac4d4dff91466518cb03b | c47e4c82a68563dbb5828dae8e9b1a3598297b7c | /NajaParser.py | 8f71d0beb5236a2d8f756c33fae40069a7b2d5b8 | [] | no_license | MarceloCFSF/Naja | b0f28afc1a1feae7339d916a2b11189e6be0290a | edc38d5bd02afe840ea2ad006491e0d950191818 | refs/heads/master | 2023-07-11T15:06:06.850798 | 2021-08-14T05:17:09 | 2021-08-14T05:17:09 | 395,882,114 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 38,637 | py | # Generated from Naja.g4 by ANTLR 4.9
# encoding: utf-8
from antlr4 import *
from io import StringIO
import sys
if sys.version_info[1] > 5:
from typing import TextIO
else:
from typing.io import TextIO
def serializedATN():
with StringIO() as buf:
buf.write("\3\u608b\ua72a\u8133\ub9ed\u417c\u3be7\u7786\u5... | [
"marcelo.cfsf@gmail.com"
] | marcelo.cfsf@gmail.com |
63c68801afba7e64361b69647cb7a4ce297ee086 | 60c71a35efed4321ace93042f822896cd3eb5588 | /app/spider/reply/generate_reply_spider.py | 85fa1b27a79ea64b8b6bf88904236d8b03d0e1fb | [
"Apache-2.0"
] | permissive | zkguchun/ASoulCnki | b3e21ba3f7c1a5ff4840c73346469418a3d6ec52 | e66b8427dac68ed0fd0347447c93f161a04ff785 | refs/heads/master | 2023-06-30T07:20:03.496162 | 2021-07-25T02:08:06 | 2021-07-25T02:08:06 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,235 | py | from app.config import sqla
import datetime
import app.models as models
import tasks
def send_low_priority_reply_spider_task():
session = sqla['session']
three_day_ago = int((datetime.datetime.now() - datetime.timedelta(days=3)).timestamp())
low_priority_reply_task = session.query(models.UserDynamic).filt... | [
"stream2000@139.com"
] | stream2000@139.com |
0c7002f95919d1deecaa962259fac4be46263738 | 5dcfef2058f8daae0a6b3436cde9486562943c8c | /2016/Computer Vision Labs/Lab 1/hellocv.py | eb569449a606d236369f864fdd6c99c1044b97d5 | [] | no_license | RhysAgombar/CV-Misc-Files | 84f8c258edb981885192ab0d1b091c7564244328 | 8cc98c04a8c0b0fd6a5951f86db132fd4fc58bb0 | refs/heads/master | 2021-01-20T02:29:21.211280 | 2017-04-25T23:15:13 | 2017-04-25T23:15:13 | 89,414,721 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 161 | py | from cv2.cv import *
img = LoadImage("C:/Users/100515147/Desktop/Computer Vision Labs/Lab 1/test.jpg")
NamedWindow("opencv")
ShowImage("opencv",img)
WaitKey(0)
| [
"Rhys.Agombar@uoit.net"
] | Rhys.Agombar@uoit.net |
2bc6bf87b8a17707f937427fda6c823672244a56 | 14303ddae70645ed8beb32c869fa00a9bd7870a1 | /orbit_return.py | eb87165ca0c0b88340cbbebe04499046bba9aeb8 | [] | no_license | bpmagallon/Diwata1_Orbit | 65e292906122005afe58b041376f71147f185d97 | d2463233317ab5af126a266920da5c247fd72b78 | refs/heads/master | 2021-01-10T14:21:22.583284 | 2016-03-13T20:34:43 | 2016-03-13T20:34:43 | 53,806,032 | 0 | 2 | null | null | null | null | UTF-8 | Python | false | false | 5,740 | py | import numpy as np
import math
import dateAdd
import urllib
import geoc_geod
import getXY
import arcpy
import getNearest
import ephem
import datetime
import geod_to_geoc
import isAM
import groundtrack
import get_vector
import spherical
arcpy.env.overwriteOutput = True
celestrak = urllib.urlopen("http://www.celestrak.... | [
"bpmagallon@gmail.com"
] | bpmagallon@gmail.com |
22587d55f9f9fab4188c819fa38b8dfd4eef0c1d | d7a88bb64c1b343ebbacf140ba07495c23e1cc3d | /NegStars.py | fa287ce660e4fde3769cb20b5fcf2e39ea6e6b2c | [] | no_license | RubyEye7/Week-1 | b485c103b296bec5e0fa6b7f613de3ae22582cc4 | ff499338b8e630caeb513e41f58c772227d9f236 | refs/heads/master | 2020-03-23T00:54:35.559294 | 2018-07-13T20:54:21 | 2018-07-13T20:54:21 | 140,891,609 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 114 | py | a = int(input("How many lines do you want: "))
count = a
while(count > 0):
count -= 1
print("**" * count)
| [
"40636561+Andrew800@users.noreply.github.com"
] | 40636561+Andrew800@users.noreply.github.com |
d19988ad33589d48cc57918d518294a2fd6150d7 | c9ddbdb5678ba6e1c5c7e64adf2802ca16df778c | /cases/synthetic/exp-big-490.py | 878f7cc3ed471a6dd801ce1f464e12d880342a22 | [] | no_license | Virtlink/ccbench-chocopy | c3f7f6af6349aff6503196f727ef89f210a1eac8 | c7efae43bf32696ee2b2ee781bdfe4f7730dec3f | refs/heads/main | 2023-04-07T15:07:12.464038 | 2022-02-03T15:42:39 | 2022-02-03T15:42:39 | 451,969,776 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,180 | py | # Compute x**y
def exp(x: int, y: int) -> int:
a: int = 0
a2: int = 0
a3: int = 0
a4: int = 0
a5: int = 0
def f(i: int) -> int:
nonlocal a
nonlocal a2
nonlocal a3
nonlocal a4
nonlocal a5
def geta() -> int:
return a
if i <= 0:
... | [
"647530+Virtlink@users.noreply.github.com"
] | 647530+Virtlink@users.noreply.github.com |
b11803d6a0a1957d777cda1dc1d36376308e22ff | 00dfa1c55b2c3e6ad98e2e1ceebcdabb65bb3712 | /Recursion/tower_of_hanoi.py | f2fe72980f98b55d2fb878c8479f8cd2434956ca | [] | no_license | taddes/algos_python | 889f580c296ced1b74fdebbb38ba16df1249306a | b72417e53fe9b45ed12270716fe13cbed6a178d1 | refs/heads/master | 2023-02-12T00:43:36.414418 | 2021-01-02T23:15:33 | 2021-01-02T23:15:33 | 284,581,471 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,281 | py | """
Three rods and a number of disks of different sizes which can slide on any rod.
Puzzle begins with the disks in a neat stack in ascending order of size on the leftmost
rod. The smallest disk is at the top, making a conical shape.
Rules:
Only one disk can be moved at a time
Each move consists of taking the upper di... | [
"taddes.korris@gmail.com"
] | taddes.korris@gmail.com |
62c33222a67be9a4d9938a2ef8513d7ecd54029e | 544356d5eacf67a27b5be7dfb276a919a232f547 | /post_test.py | ac6510a661435ee9210a0fa9382cf6dc6454a849 | [] | no_license | drellxor/wolf_markov | 8967d660bd248d674b47ae65fa1bc9d6a9fa8497 | 8df4e882464209461bf9f3d4c43ee3888ec747e0 | refs/heads/main | 2023-04-12T19:52:20.339640 | 2021-05-03T14:44:42 | 2021-05-03T14:44:42 | 322,602,373 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 489 | py | import vk_api
from markov_wolf import MarkovWolf
if __name__ == '__main__':
# session = vk_api.VkApi(token='c8767213cdfa52be374952b3eb9632c6d4ed4b442b8202ed295efba6520613f8d1eb109a2a302595a6b59')
# api = session.get_api()
#
# uploader = vk_api.upload.VkUpload(api)
# result = uploader.photo_wall([pi... | [
"tryakinan@gmail.com"
] | tryakinan@gmail.com |
2707f52621ecd803872de5c8f53a8a4582b75aef | 6814c5b1facf4c5a2a1b35e194a50a67c6e547b8 | /classifier.py | 2f41d6d38436823ebee17c62f85e90babc9b8e9f | [] | no_license | Sahana012/Model-View-Controller | f9a9916dd78eb336930772174c6c366b8d648109 | 15fc6b7035635442046f0c0910f6e08d0122795b | refs/heads/main | 2023-06-22T21:22:18.644303 | 2021-07-25T01:30:03 | 2021-07-25T01:30:03 | 389,233,222 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,366 | py | import numpy as np
import pandas as pd
from sklearn.datasets import fetch_openml
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LogisticRegression
from PIL import Image
import PIL.ImageOps
X = np.load('image.npz')['arr_0']
y = pd.read_csv("labels.csv")["labels"]
print(pd.Series(y... | [
"noreply@github.com"
] | Sahana012.noreply@github.com |
e6a936ccc3de105e36ffef350ea2096d974dc9f0 | 760e1c14d056dd75958d367242c2a50e829ac4f0 | /剑指offer/6_旋转数组最小的数字.py | 795e06ad064cd143007a5bdc31ea65296446baea | [] | no_license | lawtech0902/py_imooc_algorithm | 8e85265b716f376ff1c53d0afd550470679224fb | 74550d68cd3fd2cfcc92e1bf6579ac3b8f31aa75 | refs/heads/master | 2021-04-26T22:54:42.176596 | 2018-09-23T15:45:22 | 2018-09-23T15:45:22 | 123,894,744 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 950 | py | # _*_ coding: utf-8 _*_
"""
把一个数组最开始的若干个元素搬到数组的末尾，我们称之为数组的旋转。 输入一个非递减排序的数组的一个旋转，输出旋转数组的最小元素。 例如数组{3,4,5,1,2}为{1,2,3,4,5}的一个旋转，该数组的最小值为1。 NOTE：给出的所有元素都大于0，若数组大小为0，请返回0。
__author__ = 'lawtech'
__date__ = '2018/5/9 下午9:35'
"""
class Solution:
def minNumberInRotateArray(self, rotateArray):
# write code here
... | [
"584563542@qq.com"
] | 584563542@qq.com |
deb50bc3047abbdefa3468e418745c566c58248e | a985c6024fb0ab2665ed49eb82f01dedb6209531 | /logs.py | 01e49ca7d71c4e17280d07106ee3fccd0ca64b9e | [] | no_license | JessDF/LogsAnalysisProject | 7f4a914bdb64950ea685895492c818bc5ef9dad9 | c04aed4b4a53c5e925eccf97c17117aedb4995f6 | refs/heads/master | 2021-05-16T10:15:37.641460 | 2018-01-02T21:36:29 | 2018-01-02T21:36:29 | 104,678,943 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,733 | py | #!/usr/bin/env python3
# ---------------------- DESCRIPTION ---------------------
# logs.py is an example of how to query a Postgresql database
# to report data from a news website. The purpose is to obtain
# information from the newsdata and ouput it.
import psycopg2
DBNAME = 'news'
def process_query(us... | [
"noreply@github.com"
] | JessDF.noreply@github.com |
9dbdc9a4865ba9be97a3a163f61fe24566c2591a | 8cb3604a6cba69d13ec7ee0c38b8c617daff5d82 | /Array/sort012.py | 3e1b1633707ceabd5d681f6bccd1e4f0910f5557 | [] | no_license | therohitsingh/CODE | 6e4ba53f52d939ada183e6d02a4f03f1c0680cde | d803a226d24afc6b7e417be6ef1e51e81da9fe92 | refs/heads/master | 2023-06-10T09:14:50.703222 | 2021-07-02T15:52:40 | 2021-07-02T15:52:40 | 382,393,947 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 666 | py | def sortarr(a,n):
a = []
n = len(a)
count0 = 0
count1 = 0
count2 = 0
for i in range(n):
if a[i]==0:
count0+=1
elif a[i]==1:
count1+=1
elif a[i]==2:
count2+=1
i = 0
while(count0>0):
a[i] = 0
i+=1
... | [
"therohitsinghr@gmail.com"
] | therohitsinghr@gmail.com |
67a5365443ffe32e04263ef87eabb797f29e9ddf | af0661c89e70c914f9e2f1e5053fae69558b7c71 | /Lesson_01/Lesson_01.py | a4c7052cf1214813a906c7ccf1cb269aa7b16662 | [] | no_license | kamyninatatyana/DataSearch | ca1021233ed53874dbbca57f70d3eecd722c5b20 | dceee3bcdf55a8ad418c69921d2cf77efec0f921 | refs/heads/master | 2023-04-07T04:11:11.935750 | 2021-04-17T13:59:50 | 2021-04-17T13:59:50 | 358,893,118 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,746 | py | import requests
import json
# Задание 1
# Посмотреть документацию к API GitHub, разобраться как вывести список репозиториев для конкретного пользователя,
# сохранить JSON-вывод в файле *.json.
print('Задание 1')
print()
user_name = 'kamyninatatyana'
my_url = 'https://api.github.com'
my_request = requests.get(f'{my_u... | [
"tatyanak@yandex.ru"
] | tatyanak@yandex.ru |
504c177772b52656ec86a57238ff9dc5ffc4b589 | 172adddeaf9da90f39fbb7e93b59e2369f44d64a | /level_2/next_bignum.py | f43fbbb3e67c5ce6011d2cac06bf65c397728152 | [] | no_license | sujin16/studycoding | 1e7bae941513e4d65e3df44cbde471764940b7e9 | 1a394f3fd6851c296dc37fba0d67b01cc665ecce | refs/heads/main | 2023-03-14T03:51:14.022481 | 2021-03-04T12:56:04 | 2021-03-04T12:56:04 | 324,210,004 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 161 | py | def solution(n):
num =list(bin(n)).count('1')
i =1
while True:
n+=1
if list(bin(n)).count('1') ==num:return n
n=15
print(solution(n)) | [
"tnwls9712@ajou.ac.kr"
] | tnwls9712@ajou.ac.kr |
ba59ebba2e068546face3a92c586930dc6c334c9 | a45c87da1d573891a6009546b58320e6e9e0a54e | /html_compiler/compiler.py | ca07b433b7198def73b4a5f7ebd278ef26c0fcb4 | [
"MIT"
] | permissive | hsuanhauliu/html-compiler | f805254a5b58c3b21a95882d98784f55d63547fb | 17f2659b95153690b517f58964f9002426c08c03 | refs/heads/master | 2020-09-11T12:00:12.677145 | 2019-12-14T06:10:05 | 2019-12-14T06:10:05 | 222,057,278 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,204 | py | """
Compiler module.
"""
import os
from bs4 import BeautifulSoup
def compile(path):
""" Recursive function for merging components """
soup = ""
next_dir, filename = _separate_dir_and_file(path)
with cd(next_dir):
with open(filename, "r") as rfile:
soup = BeautifulSoup(rfile, ... | [
"hsuanhal@usc.edu"
] | hsuanhal@usc.edu |
f74f9719deb520d9f4b0f1dbb3b693f5511b8485 | 2fbf9e271de7889d15fe78696cbb4807f35fcc30 | /boards/views.py | 2559b77fa121c89158261e694ca58572d3a89057 | [] | no_license | xsaints/proj0064 | 03c990a0fc2be269c079b07399fb651b9fbd7bd2 | 49c80b3eba89418d5b24f838140bbf2be1d3c242 | refs/heads/master | 2020-04-03T12:41:09.786367 | 2018-10-29T18:42:27 | 2018-10-29T18:42:27 | 155,259,737 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,427 | py | from django.shortcuts import render, get_object_or_404
from django.http import HttpResponseRedirect
from django.urls import reverse
from .models import Board, Topic, Post
from .forms import NewTopicForm, NewPostForm
'''
def home(request):
return render(request, 'boards/home.html')
'''
def boards(request):
'''... | [
"xsaints@yahoo.com"
] | xsaints@yahoo.com |
8758ccee5ee57572793f201065aa31b037f2f96a | 60e99cec25105719dd25e4c6227ffe2358c3cb98 | /ToDo/migrations/0001_initial.py | aed874cd6296207f5a703c36a9016c6776ea8e46 | [] | no_license | BrunoSlamek/ToDo_api_drf | 350d7bfacc26c037807b2afdb8563cd407c0e630 | c9e66747f36f5d2345f3b237992d3f7f72132bf2 | refs/heads/main | 2023-07-14T17:03:36.655587 | 2021-08-25T02:49:46 | 2021-08-25T02:49:46 | 399,606,257 | 0 | 0 | null | 2021-08-25T02:49:47 | 2021-08-24T21:13:49 | Python | UTF-8 | Python | false | false | 624 | py | # Generated by Django 3.2.6 on 2021-08-24 21:49
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Todo',
fields=[
('id', models.BigAutoField(... | [
"brunoslamek@gmail.com"
] | brunoslamek@gmail.com |
8798346e2d05dabe4d21c475211f6096d376a636 | a5b3c21b7dc0ebfc7096e877228dbd4740713bab | /Python - learning/Data Structures/copy.py | 7c31451ef93b11fb7127d05eadf7cfb705c7f771 | [] | no_license | Cameron-Calpin/Code | 7dd1ee7d8b83e3d325510ef14a92d36f254bc078 | fc32e0ed2464efb64b0ebad7f76270a369e2a829 | refs/heads/master | 2023-07-07T06:37:54.397181 | 2023-07-01T23:06:58 | 2023-07-01T23:06:58 | 91,615,709 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 228 | py | mytuple = ('one', 'two', 'three')
listcopy = list(mytuple)
listcopy.sort()
for item in listcopy:
print item
myDict = {'one': 1, 'two': 2, 'three': 3}
keys = myDict.keys()
keys.sort()
for key in keys:
print key, myDict[key] | [
"cameron.calpin.14@cnu.edu"
] | cameron.calpin.14@cnu.edu |
12c5fac8d736aaa2b4d1f2cb36d9d2f8cbecc0b1 | fac5254bbad63a9abdf77c575b76a86b47f62a29 | /fetch_and_prepare/people_dataframe.py | 4ea51ae19426d70e5f330182beea0ff74675ffc4 | [] | no_license | Nickheythatsme/baseball-ml | 91aa1a00ec1472118b6a9da07728b6ec1d08961e | 0159695a3a82e1a02a7622384b04cafd8e41df68 | refs/heads/master | 2020-06-06T06:54:59.134126 | 2019-06-21T06:24:42 | 2019-06-21T06:24:42 | 192,671,070 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 629 | py | from baseball_dataframe import BaseballDataFrame
class PeopleDataFrame(BaseballDataFrame):
def __init__(self):
super().__init__('people.csv')
print(super().memory_usage())
self['birthYear'] = self['birthYear'].fillna(value=0).astype('int')
self['birthMonth'] = self['birthMonth'].fi... | [
"nick_grout@ext.airbnb.com"
] | nick_grout@ext.airbnb.com |
72212e31ccf58f2dc7b46b3e6ecd97d710db25ae | db54b1234f2c7e2c1fda0700365cad4937d13089 | /musicbrainz/search/urls.py | 5b2eae9d6470a58e188065a4c071b3a2ce4d94d8 | [] | no_license | manuelmamut/musicbrainz_search | 6add73fe1ef9f6786fcefefa7c19fd993979736f | 72ce439809cbbf4a0b3b5556363a7eb16b9c8bd4 | refs/heads/master | 2020-03-26T17:19:21.415485 | 2018-08-22T02:05:52 | 2018-08-22T02:05:52 | 145,154,966 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 452 | py | from django.conf.urls import url
from django.views.generic import RedirectView
from search import views
from django.views.decorators.cache import cache_page
urlpatterns = [
url(r'^$', RedirectView.as_view(url='release-groups/')),
url(r'^release-groups/$', cache_page(60 * 15)(views.releaseGroupView.as_view())... | [
"manuelj.fuentesg@gmail.com"
] | manuelj.fuentesg@gmail.com |
fc9ba580ad9a11c6f67bcea854c79af053e832b4 | 2a5145f811c0679b35af367d25fce5914c2e0e40 | /Algorithm/169_MajorityElement.py | 641252ef81bfbf55f340168da7a95c33bb00a40e | [] | no_license | lingtianwan/Leetcode | 8f93fc3fc85db289ca8f618143af2a43711425ba | bf2edab87dd96afab1ff411df35d3163c1dfdc55 | refs/heads/master | 2021-01-12T19:16:31.918703 | 2017-02-09T01:50:53 | 2017-02-09T01:50:53 | 81,396,498 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 485 | py | # Given an array of size n, find the majority element. The majority element is the element that appears more than ⌊ n/2 ⌋ times.
#
# You may assume that the array is non-empty and the majority element always exist in the array.
class Solution(object):
def majorityElement(self, nums):
"""
:type num... | [
"lingtian.wan@gmail.com"
] | lingtian.wan@gmail.com |
cb9fbb26c3919aa6d7f1384ed52081e21a14efb5 | b514dce7f2796022bb50792e8fb22265160eb3e7 | /experiments/sf-heuristic/make-testbed-exp-testbed-ga.py | 53ef07cacf538b50c2985144f297d718ea448b85 | [] | no_license | imec-idlab/tsch-slotbonding-ga-simulator | 7ac48b12fa8165e01c6f38702f78be31f5081136 | 7fe670baa7ea5f6319d7f5ad5ab77d590100d0cb | refs/heads/main | 2023-02-24T07:13:50.483590 | 2021-02-02T11:49:07 | 2021-02-02T11:49:07 | 335,271,078 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 5,018 | py | import random
import json
import os
import sys
sys.path.insert(1, '../../simulator/SimEngine/')
random.seed(100)
ITERATIONS = 20
INPUT_DIR = '../input'
MAX_SEED = 10000
random_seeds = []
##### SIMULATOR SPECIFIC SETTINGS #####
expLength = 300 # seconds
cooldownLength = 60 # seconds
simulator_config = {}
simulato... | [
"glenn.daneels@uantwerpen.be"
] | glenn.daneels@uantwerpen.be |
28ded34c244dfde21440e7b8a4c967128d3118be | b39d72ba5de9d4683041e6b4413f8483c817f821 | /GeneVisualization/ass1/Lib/site-packages/itk/itkImageDuplicatorPython.py | feba22d089e1bed3a6240415b04b2f8985228d76 | [] | no_license | ssalmaan/DataVisualization | d93a0afe1290e4ea46c3be5718d503c71a6f99a7 | eff072f11337f124681ce08742e1a092033680cc | refs/heads/master | 2021-03-13T05:40:23.679095 | 2020-03-11T21:37:45 | 2020-03-11T21:37:45 | 246,642,979 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 149,049 | py | # This file was automatically generated by SWIG (http://www.swig.org).
# Version 3.0.8
#
# Do not make changes to this file unless you know what you are doing--modify
# the SWIG interface file instead.
from sys import version_info
if version_info >= (3, 0, 0):
new_instancemethod = lambda func, inst, cls: _itkI... | [
"44883043+ssalmaan@users.noreply.github.com"
] | 44883043+ssalmaan@users.noreply.github.com |
a6ddd8d4f9f38b972820df093ba01dd54e608881 | d701f0f5027c77fa41b0a9209b8989b9d0316aa8 | /brain_games/logic/prime.py | fc01cab602a8fff9789a05a778f877bafe972ecd | [] | no_license | DenisTrukhin/python-project-lvl1 | 8d4c548bbb2bffed117340b8b480fade01cd044c | a4c6f8286b3e0dc8f0fcbbd848f54a8293cc4a85 | refs/heads/main | 2023-01-31T20:39:58.337152 | 2020-12-16T14:21:12 | 2020-12-16T14:24:31 | 311,041,345 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 447 | py | import random
def is_prime(n):
if n % 2 == 0:
return n == 2
d = 3
while d ** 2 <= n and n % d != 0:
d += 2
return d ** 2 > n
def prime():
positive_answer = 'yes'
negative_answer = 'no'
number = random.randint(1, 1000)
expression = f'{number}'
correct_answer = pos... | [
"denis.trukhin@balance-pl.ru"
] | denis.trukhin@balance-pl.ru |
d11816bf434a2bc2cc962cfc510a0957f1ccd0a4 | 04f210ca1ec260a9fd1fa24a55876098a63203ba | /6GetParameters2.py | 8cb6b0427ba39fb2c47d6dc8418baca39921a09a | [] | no_license | FocusYangQ/PythonSpider | bc757bf68fbea2c7d8ce8ff3a7500fbbd1a93c9f | e5d349efe4dd894bec688662a773e4756f466cd0 | refs/heads/master | 2023-08-24T22:27:46.400172 | 2021-10-15T13:08:09 | 2021-10-15T13:08:09 | 415,536,127 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 248 | py | import requests
if __name__ == '__main__' :
data = {
"name" : "hezhi" ,
"age" : 20
}
response = requests.get ( "http://httpbin.org/get" , params = data )
print ( response.status_code )
print ( response.text ) | [
"35205142+FocusYangQ@users.noreply.github.com"
] | 35205142+FocusYangQ@users.noreply.github.com |
ce7fe6a703bd4648ba39e7da18929b3abdecddae | 1cf84b1c4e0bfc3145b758879e5c4648fab8024d | /7.5. Filter out 53 copies of the products to be tested in the table.py | c7504bd073b3b26981a001341db332d037c1d306 | [
"Apache-2.0"
] | permissive | zy-yao/Clothes-Matching-on-Taobao | 8d8e9c73c8f429748ec89cffec9e1ea8d20e1810 | 1910c25bd764495021c3a4e2f6a11c5cdb56f15f | refs/heads/master | 2023-01-30T15:19:46.948461 | 2020-12-03T15:07:46 | 2020-12-03T15:07:46 | 276,325,917 | 0 | 1 | null | 2020-07-16T09:35:53 | 2020-07-01T08:49:20 | Python | UTF-8 | Python | false | false | 366 | py |
import pandas as pd
for i in range(0,53):
d = pd.read_csv('/Users/YAO/.spyder-py3/ForPython/new method/rule1_weekresult3/result'+str(i+1)+'_3.csv')
testItems = pd.read_csv('testItems.csv')
predict = pd.merge(testItems,d)
predict.to_csv('/Users/YAO/.spyder-py3/ForPython/new method/rule1_weekresult_last/... | [
"33860709+zy-yao@users.noreply.github.com"
] | 33860709+zy-yao@users.noreply.github.com |
b8fbc89b00c608ef7d1a47c1ca35b6688318a5ea | 2776f806297ae2f05d6c6bcbf2205ed8eb3b9db8 | /ico/tests/contracts/test_require_customer_id.py | 3dfa23e0d176551f9efd672c9a4c5a07982db7b1 | [
"Apache-2.0"
] | permissive | ZOLTbyZENUM/ico | 138207db242053ded62ecc9a4f7d273209232a3f | 26e4ae717e5f04a3f41f32f5f52f7dddedaac65d | refs/heads/master | 2022-12-12T16:01:40.922647 | 2018-02-28T12:47:33 | 2018-02-28T12:47:33 | 123,442,497 | 0 | 0 | NOASSERTION | 2022-12-08T00:42:32 | 2018-03-01T14:02:07 | Python | UTF-8 | Python | false | false | 2,433 | py | """Customer id tracking."""
import uuid
import pytest
from ethereum.tester import TransactionFailed
from eth_utils import to_wei
from ico.tests.utils import time_travel
from ico.state import CrowdsaleState
from sha3 import keccak_256
from rlp.utils import decode_hex
@pytest.fixture
def crowdsale(uncapped_flatprice,... | [
"mikko@opensourcehacker.com"
] | mikko@opensourcehacker.com |
01bed1080979fef67de4c80a741868bc5950a4d9 | 8ba01e6790ce6d0a3e25b3e05281dd1aa64d2f2f | /classification/lightgbm.py | 77fc6f9f85991a596e3440ead795b2810d5ce5af | [] | no_license | weineng-zhou/MachineLearning | 4a358026627a693f3297d2b770e699d351bfc15c | 30e327154619096fa9dc6aba3142f7d8cc50c4d6 | refs/heads/master | 2022-06-14T11:33:13.014329 | 2020-05-04T07:58:07 | 2020-05-04T07:58:07 | 261,112,109 | 4 | 0 | null | null | null | null | UTF-8 | Python | false | false | 12,130 | py | # -*- coding: utf-8 -*-
import datetime
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
plt.rcParams['font.sans-serif'] = ['SimHei']
plt.rcParams['axes.unicode_minus'] = False
from sklearn.model_selection import train_test_split
from lightgbm import LGBMClassifier
from sklearn.model_selection im... | [
"zwn911208@163.com"
] | zwn911208@163.com |
a51f49b8ad549be6578aed13784e031c214b6f48 | 03f23bb43a8161d4479486db4f0cf4df5ead360c | /search/services.py | 74a44bf460b9d45c4c2920333046ff63c6a5bf2a | [] | no_license | nalimhahs/shopnani-backend | 6f070440b64d389090da05307f18bec82e32b537 | d6ebf193fa1f57b18a5aa7a94f166e18a0fa162f | refs/heads/master | 2022-12-11T16:17:24.029075 | 2019-08-24T07:52:01 | 2019-08-24T07:52:01 | 195,423,400 | 0 | 0 | null | 2022-04-22T22:13:08 | 2019-07-05T14:31:09 | Python | UTF-8 | Python | false | false | 719 | py | import os
import requests
# The function accepts a query and passes it to the flipkart api.
# The results are then converted to json and then returned.
# The affiliate ID and Token are stored as environment variables to prevent unintentional exposure.
def getResultsService(query):
affiliateId = os.environ.get('DJ... | [
"milanshah1@gmail.com"
] | milanshah1@gmail.com |
24a0d4647a4f5c7bfff17bb405ead7562f3e47a3 | 48caf249eaa70e9f71f9b94696316af62284d036 | /how bad did you fail your test.py | 32c190787aa77a4d25b72cbad2ebc52fcae8a799 | [] | no_license | wannabruh/Python2020-08-17-minecraft-coding- | e4d6194fd241277c06ff8ee2a3003c3e7ad45e40 | 5252bace5b642758d32f8df4dc2160c36c586d8a | refs/heads/master | 2022-12-03T10:52:54.774328 | 2020-08-17T08:52:36 | 2020-08-17T08:52:36 | 288,129,982 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 483 | py | math = int(input("math"))
eng = int(input("eng"))
if math >=0 and math <=100 and eng >=0 and eng <=100:
if math >=90 and eng >=90:
print("eeeeeeeee")
if math >=80 and eng >=80:
print("teeeeeeeee")
if math >=70 and eng >=70:
print("reeeeeeeee")
if math >=60 and eng >=60:
... | [
"noreply@github.com"
] | wannabruh.noreply@github.com |
633fdf3de990a8d52a022b237ae5b520e5aea688 | ee968d0cb10c6fc57cfc53e45ac9d758e82f7749 | /TSA/ABSAPyTorch/temp.py | e228ef4d514b86865b2cadb926f6fab0799c5a9f | [
"MIT"
] | permissive | jakeyap/Stance-Detection | 12f86bdfb2078ae32eec9d28201d04e3e421c806 | 2cb98bf84f7303bc7f436b38084a2b5c32a0ea8e | refs/heads/master | 2022-11-19T09:47:19.441536 | 2020-06-02T17:34:05 | 2020-06-02T17:34:05 | 281,282,637 | 3 | 1 | null | null | null | null | UTF-8 | Python | false | false | 2,229 | py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Feb 19 14:00:39 2020
@author: lweiren
"""
from twitter import *
import os
import tweepy
import datetime
import sys
import time
CONSUMER_KEY="A2FjDYLSKc8tfvGLcexZywK35"
CONSUMER_SECRET='kDR9HRGR54otDoAqp7XWFFbRIadUmG9g9li7aaY12qOnKQt2oK'
MY_TWITTER_CR... | [
"lweiren@instance-1.asia-southeast1-b.c.model-augury-245215.internal"
] | lweiren@instance-1.asia-southeast1-b.c.model-augury-245215.internal |
ce69a986c534d70a5aa60a0025175768ba380815 | 52b5773617a1b972a905de4d692540d26ff74926 | /.history/clouds_20200703155257.py | 611b20c61a4e392632a8177a3ecf3c4d6ae86dde | [] | no_license | MaryanneNjeri/pythonModules | 56f54bf098ae58ea069bf33f11ae94fa8eedcabc | f4e56b1e4dda2349267af634a46f6b9df6686020 | refs/heads/master | 2022-12-16T02:59:19.896129 | 2020-09-11T12:05:22 | 2020-09-11T12:05:22 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 362 | py | def jumpingClouds(c):
i = 0
jumps = 0
while i < len(c)-2:
if c[i+2] == 0:
print('c------>',i,c[i])
print('here1')
jumps +=1
elif c[i+1] == 0:
print('here')
jumps +=1
i +=1
print(jumps) ... | [
"mary.jereh@gmail.com"
] | mary.jereh@gmail.com |
e41960c52ed9f1d8f4899297c7aa4df4e18f5413 | acb8e84e3b9c987fcab341f799f41d5a5ec4d587 | /langs/6/og-.py | e881559c8f292114595ae1314a66e46d1d5952e6 | [] | no_license | G4te-Keep3r/HowdyHackers | 46bfad63eafe5ac515da363e1c75fa6f4b9bca32 | fb6d391aaecb60ab5c4650d4ae2ddd599fd85db2 | refs/heads/master | 2020-08-01T12:08:10.782018 | 2016-11-13T20:45:50 | 2016-11-13T20:45:50 | 73,624,224 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 486 | py | import sys
def printFunction(lineRemaining):
if lineRemaining[0] == '"' and lineRemaining[-1] == '"':
if len(lineRemaining) > 2:
#data to print
lineRemaining = lineRemaining[1:-1]
print ' '.join(lineRemaining)
else:
print
def main(fileName):
with open(fileName) as f:
for line in f:
... | [
"juliettaylorswift@gmail.com"
] | juliettaylorswift@gmail.com |
3ea0bb442577424dd93a06877b4cb480971dc827 | d7f4e330f5d803c8cd495729fd86da61b89565f3 | /torch/_meta_registrations.py | 0511b5188fbea63e9c0427f06428dc9859aa3885 | [
"BSD-2-Clause",
"BSD-3-Clause",
"LicenseRef-scancode-generic-cla",
"BSL-1.0",
"Apache-2.0"
] | permissive | awf/pytorch | 55ff84549c17579a1f62910ef2ac7b1dcd6fa897 | 0dceaf07cd1236859953b6f85a61dc4411d10f87 | refs/heads/master | 2023-02-08T13:19:22.073279 | 2023-01-29T10:36:40 | 2023-01-29T10:36:43 | 239,372,903 | 0 | 0 | NOASSERTION | 2020-02-09T20:55:23 | 2020-02-09T20:55:22 | null | UTF-8 | Python | false | false | 82,649 | py | import math
from typing import List, Optional, Union
import torch
import torch._prims_common as utils
from torch import Tensor
from torch._decomp import _add_op_to_registry, global_decomposition_table, meta_table
from torch._ops import OpOverload
from torch._prims import _elementwise_meta, ELEMENTWISE_PRIM_TYPE_PROMOT... | [
"pytorchmergebot@users.noreply.github.com"
] | pytorchmergebot@users.noreply.github.com |
3d81722193663c5a56f5fcd5a04e2b8555f01b4e | c8471c09e9bf146a5dcec34a381e5ea4fcf7d1c2 | /day1_star2.py | 3440901f68795b5c27e1fb7b59a4eb553e45816b | [] | no_license | cmueh/AoC19 | dea8456bb814b99efc53ce16fab6f488d7e4f896 | 2c219e221bddb33616ea5dcaa4824820fdb65598 | refs/heads/master | 2020-09-23T02:35:22.233081 | 2019-12-07T16:36:43 | 2019-12-07T16:36:43 | 225,380,404 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 253 | py | f = open('input.txt')
def calc(n):
s = 0
while True:
v = n // 3 - 2
if v <= 0:
break
s += v
n = v
return s
arr = [calc(int(x.strip())) for x in f.readlines()]
print(sum(arr))
| [
"noreply@github.com"
] | cmueh.noreply@github.com |
eafd957ce79a41486e0e5515ec49bc2b2ecf71e1 | 7ef991ef5d595ef987eb9ef74d5ed0469bdbb39e | /examples/ensemble/plot_monotonic_constraints.py | 8b3f69f1d542e9a891b51bb11f879321501d143a | [
"BSD-3-Clause"
] | permissive | ogrisel/scikit-learn-github-actions | 1762eb7961dabfd60c574c54b6b4ed1044ca986f | d88deccde974c70d8d89b9c880a809d53c2e32eb | refs/heads/master | 2023-03-05T10:32:07.363536 | 2020-12-01T12:20:55 | 2020-12-01T12:20:55 | 317,551,992 | 3 | 3 | BSD-3-Clause | 2021-02-08T19:28:13 | 2020-12-01T13:36:07 | Python | UTF-8 | Python | false | false | 2,241 | py | """
=====================
Monotonic Constraints
=====================
This example illustrates the effect of monotonic constraints on a gradient
boosting estimator.
We build an artificial dataset where the target value is in general
positively correlated with the first feature (with some random and
non-random variati... | [
"noreply@github.com"
] | ogrisel.noreply@github.com |
c96341db1a252c067b17e8947a829457d1b9a95c | 81632cda811a3ca43497457dc25c382e53685c01 | /week2_algorithmic_warmup/1_fibonacci_number/fibonacci.py | bbf8f4211aae3a7847f0fae6b8d1522ef93ff585 | [] | no_license | fernandoyto/algorithmic-toolbox | 63511da14801ae3bfabe8da008f6d51a3e2b5572 | 059a897ad7edadd1d9278f0f87c7f5adb42e49e5 | refs/heads/master | 2022-09-22T09:45:55.736963 | 2020-06-01T01:59:58 | 2020-06-01T01:59:58 | 262,603,253 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 202 | py | # Uses python3
def calc_fib(n):
if n <= 1:
return n
arr = [0, 1]
while len(arr) <= n:
arr.append(arr[-1] + arr[-2])
return arr[-1]
n = int(input())
print(calc_fib(n))
| [
"fernando.toshioyto@gmail.com"
] | fernando.toshioyto@gmail.com |
d935698ed1490a86579c7639a9248a6761ca3fde | 0125bbe0ce453e94604ff5834fbc280fe44f3220 | /transquest/algo/sentence_level/siamesetransquest/readers/__init__.py | ae4c6526b6069a91c156cfd8a0f55c7f847bb325 | [
"Apache-2.0"
] | permissive | mfomicheva/TransQuest | fc51bcb90e386534845841fd75a3860054e76dd7 | 4225f7195a703414ed13ce597854cc1a59703229 | refs/heads/master | 2023-06-12T14:52:49.066705 | 2021-05-07T10:35:21 | 2021-05-07T10:35:21 | 263,876,762 | 6 | 1 | Apache-2.0 | 2020-05-14T09:52:07 | 2020-05-14T09:52:06 | null | UTF-8 | Python | false | false | 231 | py | # from .input_example import InputExample
# from .label_sentence_reader import LabelSentenceReader
# from .nli_data_reader import NLIDataReader
# from .qe_data_reader import QEDataReader
# from .triplet_reader import TripletReader
| [
"rhtdranasinghe@gmail.com"
] | rhtdranasinghe@gmail.com |
86fcd24ccd2ff7f53cde4be30ecfe987c53c067a | 0c823c3975deff4d12edeb2628b0380e9282fb4b | /venv/bin/pew | 047ec0aafcc0b94fbada6a1f164fb179627743fe | [] | no_license | shocktrop89/helloworld | a8a69927e35fd1198c30f458a426f5c060bf7bbb | eae76cb2e585e403edaa9e3775e820a646c80574 | refs/heads/master | 2022-12-14T19:56:46.990044 | 2018-02-22T15:07:20 | 2018-02-22T15:07:20 | 122,350,951 | 0 | 0 | null | 2022-09-16T17:46:27 | 2018-02-21T15:03:54 | Python | UTF-8 | Python | false | false | 249 | #!/Users/mbp13/Documents/GitHub/helloworld/venv/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from pew.pew import pew
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(pew())
| [
"neo_x2k@hotmail.com"
] | neo_x2k@hotmail.com | |
fc1654e347aab42f2c8356ba6bf4279a456c1caf | afd7a171d1d75b1f202745ddd355c05b7013aa77 | /tensorflow_fix/flags.py | ce5bf191a99ad2f55815d47ebd3d683667429856 | [] | no_license | erdnase1902/web-demo-vm | 06f9464253bf3110d542e1ef7989325f59fe7693 | 8d7c16ec4402659e8c6fcbcd1cfbcf1cc292b6de | refs/heads/master | 2023-02-27T02:40:43.300761 | 2021-02-02T00:24:03 | 2021-02-02T00:24:03 | 335,121,700 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,756 | py | # Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | [
"josephlu85@engineering.ucla.edu"
] | josephlu85@engineering.ucla.edu |
a29754c4c378ca8e960133b73f1081e25847597c | a91bea54a2d440f4333d48278ff9d870e5777069 | /wxjlibrary/backend/urls.py | 0786cc48f287fa09295e5a9e811d5aca2736bcb7 | [] | no_license | angelawxj/backend | f22908373b019d0feb1085928e13765e15882b3a | d53c88fde56d4bda039d9a9844ead9ecfeb28354 | refs/heads/master | 2021-06-30T16:39:24.527606 | 2019-02-20T09:37:31 | 2019-02-20T09:37:31 | 136,135,401 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 795 | py | """backend 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-based... | [
"2472569272@qq.com"
] | 2472569272@qq.com |
158c8568933800e1a190e58735a06e07f2d82e6b | 21d21402c70d8a95d9a4b492078e3fb36e2c9af1 | /shivi_khanuja/django/DojoNinja/apps/dojoninja/apps.py | d4941bb2d14a3111f7bbf5c0ed2410810df42a05 | [] | no_license | hmp36/python_aug_2017 | df897a1b0aa161300386192d48e3fcac9eb495c8 | 8747429b91b09349e5b5469d8932593b06f645e1 | refs/heads/master | 2021-04-29T23:16:50.149226 | 2017-09-11T20:14:37 | 2017-09-11T20:14:37 | 121,552,666 | 1 | 0 | null | 2018-02-14T19:34:54 | 2018-02-14T19:34:54 | null | UTF-8 | Python | false | false | 166 | py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.apps import AppConfig
class DojoninjaConfig(AppConfig):
name = 'dojoninja'
| [
"shivalikhanuja.net@gmail.com"
] | shivalikhanuja.net@gmail.com |
699b405df3c5154f4dc032a56062766d9dea7aac | 501fa9383672b83f0d1f5516c9c4e9971ac37399 | /Planar Model/Equilibrium/Analyze.py | e5021c8d67d459f2b78c21a2d7f59b2412ad9ab0 | [] | no_license | vsa1920/Monte-Carlo-methods-in-Ising-Model | a42b2a8e8494a5efe15fed9b8c5e56865a97ee7c | 426647a63ea121f40799c6e9022c813c925ee580 | refs/heads/main | 2023-04-10T06:37:35.907962 | 2023-03-29T03:42:25 | 2023-03-29T03:42:25 | 339,046,824 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,038 | py | from matplotlib import pyplot
from Metropolis import nearest_neighbours, acceptance_ratio
import random
from math import e, cos, sin, pi
import numpy as np
# A function to read states from text files
# Constants
J = 1
def read_func(file_name):
file = open(file_name, 'r')
state = []
for i in... | [
"noreply@github.com"
] | vsa1920.noreply@github.com |
d8590c08bf2977e339d8f90929d589b87f9ce6f4 | 54c269be3d6882141fc43fba55fccaafb773cc59 | /PythonExercises/desafio32.py | 5998f9be211e9845d51b8633de64c32baa68d73b | [] | no_license | ClaudioJrCode/SQLZOOexercises | 80fb8eb2500419a52cdde0553eddd1561f3aecab | e4b90823b7309f2f1c7f260db4cee2f56084e0f7 | refs/heads/main | 2023-04-10T06:11:23.857484 | 2021-04-22T01:15:04 | 2021-04-22T01:15:04 | 360,316,526 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 253 | py | while 1:
ano = int(input('Digite um ano: '))
flag = True
if ano % 4 != 0:
if ano % 400 != 0:
print('O ano não é bissexto')
if ano % 4 == 0:
if ano % 100 != 0:
print('O ano é bissexto') | [
"noreply@github.com"
] | ClaudioJrCode.noreply@github.com |
8ddbe698c1c73e311e9b99a820e4b99697b3fd9b | 50008b3b7fb7e14f793e92f5b27bf302112a3cb4 | /recipes/Python/576811_Rename_MP3_files_ID3_tags_does_not_require/recipe-576811.py | 292eebcc019eb27b01d8285188c18bb6380e649e | [
"MIT"
] | permissive | betty29/code-1 | db56807e19ac9cfe711b41d475a322c168cfdca6 | d097ca0ad6a6aee2180d32dce6a3322621f655fd | refs/heads/master | 2023-03-14T08:15:47.492844 | 2021-02-24T15:39:59 | 2021-02-24T15:39:59 | 341,878,663 | 0 | 0 | MIT | 2021-02-24T15:40:00 | 2021-02-24T11:31:15 | Python | UTF-8 | Python | false | false | 26,410 | py | """ Read ID3 tags from a file.
Ned Batchelder, http://nedbatchelder.com/code/modules/id3reader.html
http://nedbatchelder.com/code/modules/id3reader.py
* original code modified by ccpizza: added code to main method to rename
files in current folder from ID3 tags,
e.g. 'Track_01.mp3' >> '01 - Cha... | [
"betty@qburst.com"
] | betty@qburst.com |
b6dc0cc56bc60c50f7a85c67bbc5ce45005f3b89 | 79f2838de509de74350a10abf256ca6c394bce65 | /listasevariaveis/exemplomultiplaslistasbusca.py | c75b27df0df7fdc0781614ba70f82989ee962f46 | [] | no_license | psanrosa13/pythonEstudo | b520825025219adb1752a2cc71cdfc2693026f42 | 6a130390750d7783be969de4a8c75122f71f9d32 | refs/heads/master | 2023-01-18T21:11:00.543839 | 2020-11-21T00:03:59 | 2020-11-21T00:03:59 | 313,464,099 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 716 | py | equipamentos = []
valores = []
seriais = []
departamentos = []
resposta ='S'
while resposta=='S':
equipamentos.append(input('Equipamento: '))
valores.append(float(input('Valor: ')))
seriais.append(int(input('Número Serial: ')))
departamentos.append(input('Departamento: '))
resposta=input('Digite \'... | [
"psanrosa13@gmail.com"
] | psanrosa13@gmail.com |
12e9c4dcfd45ee85d030c29f1e736d00d2d4d700 | ec3e7aed2d85b1ad83500ff6944ac04c3f213b4c | /statinf/data/ProcessData.py | adfe35ae6f12625eebd8e3decdda3a63cf557817 | [
"MIT"
] | permissive | vishalbelsare/statinf | 2ef58526a93a85709c9177d437979be13d8f6072 | c1dd7e0855809f4676845d33e0b9b040169463cb | refs/heads/master | 2023-09-04T04:46:03.561451 | 2023-08-18T17:33:27 | 2023-08-18T17:33:27 | 230,207,975 | 0 | 0 | MIT | 2023-08-19T03:20:31 | 2019-12-26T06:26:23 | Python | UTF-8 | Python | false | false | 27,132 | py | import numpy as np
import pandas as pd
import re
import warnings
from types import SimpleNamespace
# Ranking data
def rankdata(x):
"""Assigns rank to data.
This is mainly used for analysis like Spearman's correlation.
:param x: Input vector. Format can be :obj:`numpy.array`, :obj:`list` or :obj:`pandas.... | [
"florian.website.mail@gmail.com"
] | florian.website.mail@gmail.com |
397bd82f3974cc589904835d4c50f7e3f60e39a9 | 8cb6b6b233be0f53d86230e7be7fe2c12e04d3ad | /Titanic/code.py | f8fdce6d968749c2356532056f03dd6f3281448e | [] | no_license | benignavesh/kaggle | 09a6b9f0773962f22efdc042d776110712d4cf41 | c5a3f4722d2baf63dbe678e5817a651fb30da967 | refs/heads/master | 2020-03-20T02:26:37.284051 | 2018-06-12T18:39:45 | 2018-06-12T18:39:45 | 137,113,278 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,432 | py | import pandas as pd
dataset_train = pd.read_csv('train.csv')
dataset_test = pd.read_csv('test.csv')
labels_train = dataset_train.iloc[:,[1]].values
features_train = dataset_train.iloc[:,[2,4,5,6,7]].values
features_test = dataset_test.iloc[:,[1,3,4,5,6]].values
#Missing data analysis for age
from skl... | [
"noreply@github.com"
] | benignavesh.noreply@github.com |
cc7e2f7e8d161493bd6b230d519996a73308c768 | 7b6377050fba4d30f00e9fb5d56dfacb22d388e1 | /brownies/bin/lev-vis.py | f897e5f5de2f2be76fa12584493985dffe688620 | [
"BSD-3-Clause",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | LLNL/fudge | 0a4fe8e3a68b66d58e42d1f4d209ea3f713c6370 | 6ba80855ae47cb32c37f635d065b228fadb03412 | refs/heads/master | 2023-08-16T21:05:31.111098 | 2023-08-01T22:09:32 | 2023-08-01T22:09:32 | 203,678,373 | 21 | 4 | NOASSERTION | 2023-06-28T20:51:02 | 2019-08-21T23:22:20 | Python | UTF-8 | Python | false | false | 7,520 | py | #! /usr/bin/env python
import sys
import os
import argparse
import brownies.BNL.RIPL.level_density as LD
import brownies.BNL.RIPL.level_scheme as LS
from PoPs.chemicalElements .misc import symbolFromZ as elementSymbolFromZ
import numpy as np
import matplotlib.pyplot as plt
HOME=os.environ['HOME']
DESKTOP=HOME+'/Deskto... | [
"mattoon1@llnl.gov"
] | mattoon1@llnl.gov |
ead54b3adea54e5e8b36d168ada47fa6b99b2957 | 513b9bd0fca9e219a8d33cd9352f45f401a6b533 | /python/test/test_actions.py | e0d04fe5a6a610a1fa991f18417870ef0b07e9ce | [] | no_license | EdginAround/edgin_around_api | a50b3cd03b992b68f2f42b3616c86534a9ad1b8f | 0c97610385c409b1c4ceb3472d977bbb8d2dd45e | refs/heads/main | 2023-06-01T00:13:23.219528 | 2021-06-27T19:21:20 | 2021-06-30T14:14:26 | 354,341,869 | 0 | 0 | null | 2021-06-30T14:14:27 | 2021-04-03T16:36:39 | Python | UTF-8 | Python | false | false | 1,949 | py | import unittest
from typing import Any, Dict
from . import common
from edgin_around_api import actions
class ActionsTest(common.SerdeTest):
def test_serde_actor_deletion(self) -> None:
"""Test serialisation and deserialisation of DeleteActorsAction."""
original: Dict[str, Any] = {
... | [
"wojciech.kluczka@gmail.com"
] | wojciech.kluczka@gmail.com |
2f0309d995be662395d1be6753bdcb2d17c2133e | 7c1a0ee337c4407768c343518ebee7f8a1b540ef | /env/lib/python3.6/sre_parse.py | 19de139eab2af7ff41ea9fcb49c30ccd7c952d3b | [] | no_license | spmarisa/flask_demo | 8dcce02b43664da0b6afe97975e70a675425e22f | e5be66cfe1ebddc130875fb9fddc294d81085a0e | refs/heads/master | 2020-03-23T19:58:39.017626 | 2018-07-23T12:51:14 | 2018-07-23T12:51:14 | 142,013,715 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 53 | py | /home/phaneendra/anaconda3/lib/python3.6/sre_parse.py | [
"phaneendra.marisa@gmail.com"
] | phaneendra.marisa@gmail.com |
83518dea03fcf81599d027eab229b0560c3ccfbe | 7de280a2cb54bdec1eaa3b683097974b7a2c0964 | /main.py | 6bb5ae1f4496ffa7314e3a9a4a160bc53285b558 | [] | no_license | kpiaskowski/DL_hand_gestures | f1d2e748a9587d07e9593380f6a9ce01171d073c | 3d65b18821208195b89b5ce1f63e002da03f315e | refs/heads/master | 2021-09-10T06:48:20.220804 | 2018-03-21T20:44:22 | 2018-03-21T20:44:22 | 125,994,782 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 3,811 | py | import os
import tensorflow as tf
from architectures.decoder import decoder_model
from architectures.latent_space import latent_space
from architectures.pretrained_encoder import encoder_model
from vae_dataprovider import DataProvider
epochs = 50
batch_size = 20
latent_units = 200
l_rate = 0.00001
label_w = 64
label... | [
"kar.piaskowski@gmail.com"
] | kar.piaskowski@gmail.com |
56c82dd9a2f16f67ef47c7062fa1ce5db1ae45cf | 029948b3fd0e41d80d66c84d808abff4fcb24ac8 | /test/test_path_response_result_response_egress_physical_interface.py | b1100af354156581698006d61033889305c3445f | [] | no_license | yijxiang/dnac-api-client | 842d1da9e156820942656b8f34342d52c96d3c37 | 256d016e2df8fc1b3fdad6e28f441c6005b43b07 | refs/heads/master | 2021-09-25T21:10:09.502447 | 2018-10-25T14:39:57 | 2018-10-25T14:39:57 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,169 | py | # coding: utf-8
"""
Cisco DNA Center Platform v. 1.2.x (EFT)
REST API (EFT) # noqa: E501
OpenAPI spec version: 1.0.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import unittest
import dnac_api_client
from dnac_api_client.models... | [
"cunningr@cisco.com"
] | cunningr@cisco.com |
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