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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
37321511f55b483428e71701554e9e17bf1df771 | 98c6ea9c884152e8340605a706efefbea6170be5 | /examples/data/Assignment_7/hrnali002/question1.py | bddd72a0b19d90ef62d339aa08a5e015b73c2dc2 | [] | no_license | MrHamdulay/csc3-capstone | 479d659e1dcd28040e83ebd9e3374d0ccc0c6817 | 6f0fa0fa1555ceb1b0fb33f25e9694e68b6a53d2 | refs/heads/master | 2021-03-12T21:55:57.781339 | 2014-09-22T02:22:22 | 2014-09-22T02:22:22 | 22,372,174 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 593 | py | """A program to print a list with not duplicated words
Alison Hoernle
HRNALI002
27 April 2014"""
# get input and convert to a list
list = []
strings = input("Enter strings (end with DONE):\n")
while strings != "DONE":
list.append(strings)
strings = input()
print()
print("Unique list:")
# create an empty... | [
"jarr2000@gmail.com"
] | jarr2000@gmail.com |
89183a2d8db1679d97f14a455576df1e17c8699d | a93caa7552963b075e72bb9b6beb08aab94bac27 | /code/plots.py | 353f651e62182392288e94882edcf51ad8e349d6 | [] | no_license | anmalara/DeepWWTagger | ae2e7773f230bf7e74136a44dc09f51b066dbf35 | 1d3e1745a6b6b6a64bb83ae7f86dd53208a720a6 | refs/heads/master | 2020-03-11T03:07:19.989454 | 2019-02-19T09:36:44 | 2019-02-19T09:36:44 | 129,737,942 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,247 | py | import sys
import os
import os.path
import glob
import time
import numpy as np
from ROOT import TFile, TCanvas, TLegend, TH1F, TH2F, TColor, TAxis
from ROOT import kWhite, kBlack, kGray, kRed, kGreen, kBlue, kYellow, kMagenta, kCyan, kOrange, kSpring, kTeal, kAzure, kViolet, kPink
from ROOT import kNone
from root_numpy... | [
"andrea.malara@cern.ch"
] | andrea.malara@cern.ch |
f3a2ad5c32de8876caeae5f5f9095fdd0ef824c5 | 400c569b19d003d0b9d1b31bc1b698ae510cbc46 | /Celestial classification/models.py | d4b60dffc8e997aebb887787f6bf21975ed96fb3 | [] | no_license | as950118/dacon | 05a203ab36375a69549ac39ba3b02a90431c860a | a1489a55a7a53a755d6cf50081522bd7c1c48b4f | refs/heads/master | 2021-02-13T20:06:38.169482 | 2020-03-03T19:51:51 | 2020-03-03T19:51:51 | 244,727,899 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,054 | py | import pandas as pd
from sklearn.model_selection import train_test_split
from catboost import CatBoostClassifier
from lightgbm import LGBMClassifier
from xgboost import XGBClassifier
from data_processing import DataProcessing
random_seed = 0
train_data_path = "./data/train.csv"
test_data_path = "./data/test.csv"
sampl... | [
"na_qa@icloud.com"
] | na_qa@icloud.com |
fa2be5e5a08ffaa6b639bc4c0c9eee8944b46147 | c12947b326618c1c000e240d9515aa79ef127d5d | /migrations/versions/6decd80da190_added_equipment_table_to_the_database.py | d6dfaa538895073361eac32e2edf225747dcaa83 | [] | no_license | allanderek/angular-velocity | 3135559b18587477774375c1c2b0a4a93a85ed60 | cdc2d3c0b647e0ed41015356dd058870589a41a8 | refs/heads/master | 2016-08-12T06:18:42.330608 | 2016-01-23T16:10:21 | 2016-01-23T16:10:21 | 49,957,645 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 969 | py | """Added equipment table to the database.
Revision ID: 6decd80da190
Revises: 69a3f32dd441
Create Date: 2016-01-23 15:03:36.991513
"""
# revision identifiers, used by Alembic.
revision = '6decd80da190'
down_revision = '69a3f32dd441'
from alembic import op
import sqlalchemy as sa
def upgrade():
### commands aut... | [
"allan.clark@gmail.com"
] | allan.clark@gmail.com |
7dc2b3f8fd6f281401a3c4676506bc5b3d23b623 | ca5a3cd03a1951db3ba496fbb4b62dbbfcc198dc | /obtain_government_data/mergeFiles.py | d0a17d6da91be3f6dc63d3c49ef12e625f7e9073 | [] | no_license | KaartGroup/localModelScripts | e9ae5c0f2fabee531a04c220106416350e9ff341 | 89acc3c6968c7aa3ede1da70751f13dd2063af5f | refs/heads/master | 2022-12-11T18:30:16.218586 | 2021-05-06T18:24:00 | 2021-05-06T18:32:47 | 242,195,519 | 0 | 1 | null | 2022-12-08T07:44:50 | 2020-02-21T17:33:43 | Python | UTF-8 | Python | false | false | 1,307 | py | #!/usr/bin/env python3
import json
import os
import glob
import sys
def merge_json(files, save_file):
if (len(files) == 0):
return
json_data = {}
for fh in files:
with open(fh) as fd:
try:
data = json.load(fd)
for item in data:
... | [
"taylor.smock@kaart.com"
] | taylor.smock@kaart.com |
446f69a026cc2ab7a8d1473354a3452e64b019c0 | e148f3cd0f96b7ab189a6de8a59b756ec980228a | /proxy.py | 392f7f0edbb089b0bd405264c1cd22d3fe7b70b3 | [] | no_license | innovationb1ue/govinfo | 439844552bac769f707855c9247109fad276e127 | 501a232ef21e82721c8d9020a28e4c8a34eeea5f | refs/heads/master | 2022-03-12T13:02:21.084077 | 2019-10-23T14:42:50 | 2019-10-23T14:42:50 | 215,671,788 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,154 | py | import requests
import random
import time
import multiprocessing
USE_REDIS = True
if USE_REDIS:
import redis as red
redis = red.Redis(decode_responses=True)
redis.flushdb()
class Proxy_Pool:
def __init__(self, proxy_url:str,test_url:str,failwords:list=None, worker=4):
self.proxy_url = proxy_ur... | [
"517262600@qq.com"
] | 517262600@qq.com |
a3f76984e69b7bfbe74621b895652b299a42164e | fcb06b09a805dbb983b1f7acdde97d41cf1da2e9 | /igamingplatform/spins/apps.py | cb4041a710f6304b158ab53690a52d02af4b137d | [] | no_license | BartoszBereza/i-gaming-platform | a6a1e1148b22799cd5afaa1050aac970625cfece | b39658eb2c395755df09a43ab3b03b6e2739c1fe | refs/heads/master | 2020-03-27T10:46:23.836289 | 2018-09-06T12:49:37 | 2018-09-06T12:49:37 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 85 | py | from django.apps import AppConfig
class SpinsConfig(AppConfig):
name = 'spins'
| [
"bbplen@gmail.com"
] | bbplen@gmail.com |
833f34bfee5778cae876b543fd5e519ac588c965 | db371807e5f23a739369c1d86677b6f888a2c724 | /dev/parse_time_domain/parse_functions.py | 81f2592e21ef207c765866a525889a8efa9e1c6e | [] | no_license | ivyu1265/rocketsat12 | d1cc2b15fcfb68ff081ecd6f0c40f7b7e0b9933d | 4171848fd6acec64fc570b211924ddfef556fb52 | refs/heads/master | 2018-10-21T06:12:24.853508 | 2018-07-26T19:06:36 | 2018-07-26T19:06:36 | 122,880,264 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,225 | py | import subprocess as sp
import re
import pandas as pd
import struct
import numpy as np
class Header_Info:
def __init__(self, file_name):
self.file_name = file_name
self.read_file_data()
self.define_headers_list()
def read_file_data(self,):
gnuradio_command = 'gr_read_file_metadata -D {}'.format(self.file_n... | [
"dawson.beatty@colorado.edu"
] | dawson.beatty@colorado.edu |
3994ec01676f94e3b0ed9d34c4e51522f1548082 | 6b3ec47ee410a7d2ed2102cc5bcfa13c7a6342e2 | /bin/easy_install-3.6 | 5d6f8c4e10d68c760d508456eeaaa31b7e59754b | [] | no_license | makkar-nishant123/Refermeframework | fddb912304bdb4ffe3e169fda2d60b4171d8b6c1 | a152f42f6ab63c037bf3f117aa5be1ceb3a1d178 | refs/heads/master | 2020-05-15T23:29:18.684101 | 2019-04-28T17:31:22 | 2019-04-28T17:31:22 | 182,555,118 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 460 | 6 | #!/Users/nishantmakkar/PycharmProjects/RefermeFramework/bin/python
# EASY-INSTALL-ENTRY-SCRIPT: 'setuptools==40.8.0','console_scripts','easy_install-3.6'
__requires__ = 'setuptools==40.8.0'
import re
import sys
from pkg_resources import load_entry_point
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.p... | [
"makkar.nishant123@gmail.com"
] | makkar.nishant123@gmail.com |
f529c2813ffd27be60a2c246cf2853fcf650896f | 78912badbaa634d84a93ac03872f18b3f14092a0 | /photosorter-readbuckets.py | 21e4410b93a348af18e57021e9ae46609456fa81 | [] | no_license | mperry8889/photosorter | fc556054ce2af1a50c91c585c80eb6d65ff23f4f | d20c7a51a6e0e7aef4e4eb9260a344d54c52e539 | refs/heads/master | 2021-05-29T06:55:32.482767 | 2011-05-08T17:04:59 | 2011-05-08T17:04:59 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 442 | py | #!/usr/bin/env python
from photosorter import PhotoSorter
from photosorter import Bucket
from photosorter import Photo
if __name__ == "__main__":
p = PhotoSorter()
for bucket in p.buckets:
for state in ["during", "after", "before", "unknown", "unsorted"]:
for photo in getattr(bucket, stat... | [
"none@none"
] | none@none |
1154ef51601a72adda015a0c0c6295a88ba79108 | cad7eb211a9254a263e5d924f9d3d05859e42f8f | /app/utils/view.py | 30f20e2823a77bbcb050c3965093723311996e0d | [] | no_license | Arthur264/music-new.chat | d0568b6096119c863bf95f58159839d9844a1f30 | 0cf4fabf385954c060dec7408213a911a49358e7 | refs/heads/master | 2020-04-23T17:29:26.766098 | 2019-03-12T21:27:43 | 2019-03-12T21:27:43 | 171,333,921 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,024 | py | from cassandra.cqlengine.query import LWTException
from sanic.views import HTTPMethodView
from app.http import error_response, json_response
from app.utils.request import check_uuid
class ModelBaseView(HTTPMethodView):
model = None
@staticmethod
async def _make_request(data, many=False):
if not ... | [
"Artyr2643@gmail.com"
] | Artyr2643@gmail.com |
254224591b0953224bf8db8c78c02177f1786852 | 3b4719eb840e4a60bdb5bfd3e694dfb3e08593bb | /generate_preds.py | 8bfa41746e69eb8a280d2bbe0e9382602be0510d | [] | no_license | qzhsjz/TSVM-on-Python | 60408d339c344a57dfe2b4cd47f6bd673058f70e | 9b900453bcc065b86a7f9c27c670737fed992943 | refs/heads/master | 2021-01-11T19:01:49.370519 | 2017-01-18T02:54:30 | 2017-01-18T02:54:30 | 79,295,940 | 0 | 0 | null | 2017-01-18T02:40:44 | 2017-01-18T02:40:44 | null | UTF-8 | Python | false | false | 793 | py | from svm_hps import *
from svm_ovo import *
from kernel_gen_pol import *
from kernel_gen_lin import *
from F1 import *
from pandas import *
import numpy as np
x2 = np.array(read_csv("../data/titanic/test_samples.csv"))
y2 = np.array(read_csv("../data/titanic/test_answers.csv"))
x1 = np.array(read_csv("../data/titani... | [
"esengie@esengie-K53SV.(none)"
] | esengie@esengie-K53SV.(none) |
da8775e18d3b0e6f3cfa5b7ce00126f7f11d9688 | b819632a899cc4919c4efb097b87009a9d07d209 | /testbed_nodel11_vm_container.py | a54514a0093d7fb87304a63cdeb2ee24793ed008 | [] | no_license | NuthanChandra/ctools | bb2570786d9b1a584c5b08800f48b02ed8664480 | bcb967c53375104e32b32c8f0d2b3ca25ed69e49 | refs/heads/master | 2022-11-28T04:25:30.092129 | 2020-04-14T12:38:27 | 2020-04-14T12:38:27 | 255,604,269 | 1 | 1 | null | 2020-07-23T16:29:45 | 2020-04-14T12:34:11 | Python | UTF-8 | Python | false | false | 4,050 | py | from fabric.api import env
import os
host1 = 'root@10.204.216.115'
host2 = 'root@10.204.216.116'
host3 = 'root@10.204.216.117'
host4 = 'root@10.204.216.118'
host5 = 'root@10.204.216.119'
host6 = 'root@10.204.216.125'
kvm_nodel12 = '10.204.216.114'
ext_routers = [('hooper','10.204.217.240')] ... | [
"nuthanc@juniper.net"
] | nuthanc@juniper.net |
93f7e9fbb43b6cfe911188440c10510bd94cd5be | 10933f33099b423c5971d12993de07cc6f7d0f07 | /python_scripts/oci_3layer.py | aaba84aa9465707fc5e2577b74818c16c6aa4614 | [] | no_license | Joako360/Voice-Identification | ed521d3fe41c6d862ab72e4585b1600742295847 | 744cb2276097c2839e7bd5f5db9f461d44e48b25 | refs/heads/master | 2023-03-15T15:10:30.219968 | 2019-04-29T02:56:09 | 2019-04-29T02:56:09 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,389 | py | import os
import sys
import time
import librosa
import tflearn
import pydub
import wave
import pickle
import speech_data
import segment_data
import tensorflow as tf
import librosa.display
import numpy as np
# load constants - training directory, testing directory
training = '/home/cc/Data/train/'
testing = '/home/cc/D... | [
"drew.boles88@gmail.com"
] | drew.boles88@gmail.com |
f05d5623522500c5c226e1312c11a49f091677f5 | 422c3d0ff2f02b8393d82d89ffdfe4d08e817d36 | /myapp/admin/views.py | 9f58e6c802b2201e7cfc964b996a744602a86cf7 | [] | no_license | juanda/blue | dd132857589d16464cbcaa6a8aacada99d5f2d43 | 2291959b5a2fc395f9c3c8d4a0af12ce5eb725af | refs/heads/master | 2021-01-12T00:05:15.774907 | 2017-01-11T18:56:21 | 2017-01-11T18:56:21 | 78,669,455 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 130 | py | from flask import render_template
from . import admin
@admin.route('/admin')
def admin():
return render_template('admin.html')
| [
"juanda@yuido.com"
] | juanda@yuido.com |
315b999cddf33d0a70d199ad6d25cc2503896eb6 | d271993bf1579e835995e0d4c2427dbe1abddde3 | /gim/migrations/0012_product.py | 78667b6c7c26ef349504b185af5ad7ddc41b428e | [] | no_license | Mesus/Uvis | 5392507083abf02a6a98c59c20bb82a82072acbf | 9dd54dea852a61a60d1ac54611566c03da6f4dfd | refs/heads/master | 2021-01-22T19:59:16.065873 | 2017-03-17T03:19:32 | 2017-03-17T03:24:40 | 85,266,398 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 573 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.10.3 on 2016-12-01 03:16
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('gim', '0011_area'),
]
operations = [
migrations.CreateModel(
na... | [
"304073257@qq.com"
] | 304073257@qq.com |
8f377dbae4bdfac6f266dec47f88176f4f0e1eca | b50f07920a48df36c5303e6bbd35ff1eafbece16 | /jms/expression.py | 0668bf0f294aef112c6ee929ab72cafc5af0faa2 | [] | no_license | principia12/project_re | ed21cd369412d440ae794fd7ff422400988be5e3 | d165026e08cd1efd27ed9a0147aaf790f9374916 | refs/heads/master | 2020-08-27T19:39:08.872522 | 2019-11-07T09:31:04 | 2019-11-07T09:31:04 | 217,472,878 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,657 | py |
from abc import ABC, abstractmethod
from .common import ConsumeFailException, is_valid_char, is_whitespace, is_word_char, is_numeric
from .tokenizer import TokenType
class Expr(ABC):
@abstractmethod
def consume(self, text, idx):
pass
@classmethod
def from_token(cls, token):
if token... | [
"jms7446@gmail.com"
] | jms7446@gmail.com |
100838865d1fd32a0d5a82570553b60d6f2b6b9e | 4734604d2a835ae6e9050626d27e933a4e58aeb7 | /Exercise/kaggle/HousingPricePredicting/HousePricePredicting_NumAndCat.py | 1bea9b1337b54ad7ae5fde54facf59486cf786a8 | [] | no_license | iamjunwei/TensorflowLearning | a9a44a4db590a33d39d1c14eeecb4ba86d89cdc7 | 586cf6af5ac31c5dca9824351f734a150f3afa5c | refs/heads/master | 2020-04-05T17:52:09.289319 | 2019-01-22T15:31:53 | 2019-01-22T15:31:53 | 157,079,220 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,314 | py | import tensorflow as tf
import pandas as pd
from sklearn.ensemble import IsolationForest
from sklearn.preprocessing import MinMaxScaler
from sklearn.model_selection import train_test_split
import numpy as np
import itertools
import matplotlib
import matplotlib.pyplot as plt
# Deep Neural Network for continuous and cat... | [
"xiajunwei0713@163.com"
] | xiajunwei0713@163.com |
b3dfa3fff3e16c7710431debde8cfa47233c5fea | 652f467ebefadaa2da28d36d1da54e5be993ff70 | /tests/integration_tests/scripts/choose_strand.py | 3a21ae45c2c4494fad3a9d89f5fb7b44557570c6 | [
"MIT"
] | permissive | malonge/RagTag | e64d807797e6f8a916b9cc4af5748b1ab0895e4c | df751bfeacbf0d9529eb2a0c82b10684407db59e | refs/heads/master | 2023-04-12T08:16:27.410868 | 2022-12-27T22:32:03 | 2022-12-27T22:32:03 | 242,898,323 | 354 | 46 | MIT | 2022-11-30T20:36:23 | 2020-02-25T03:13:56 | Python | UTF-8 | Python | false | false | 341 | py | #!/usr/bin/env python
import sys
import pysam
from ragtag_utilities.utilities import reverse_complement
# Only one argument: FASTA file
x = pysam.FastaFile(sys.argv[1])
for i in x.references:
print(">" + i)
s1 = x.fetch(i)
s2 = reverse_complement(s1)
if s1 < s2:
print(s1)
else:
... | [
"malonge11@gmail.com"
] | malonge11@gmail.com |
e3e20c4815f94f2e31e28474bdc0058ee5c7bdbb | 69f25bc9f53fd6b93a2aafb4d6973b38c7a56371 | /homework/migrations/0003_product_price.py | ca166231f377341f9c96df8d3a009e6abcfcbab0 | [] | no_license | sahara66/Dz_3-master | 2ceff65165d03c8264fe124a76c92b3111535a6e | 738a651eb660b9fc19592912037b56521de31f85 | refs/heads/master | 2023-06-16T05:35:38.920825 | 2021-07-10T09:01:55 | 2021-07-10T09:01:55 | 384,655,291 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 384 | py | # Generated by Django 3.2.2 on 2021-05-08 15:52
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('homework', '0002_auto_20210508_1401'),
]
operations = [
migrations.AddField(
model_name='product',
name='price',
... | [
"fasterkombast@gmail.com"
] | fasterkombast@gmail.com |
7b50501068693c67817ab9351f21fd24bab7380a | 5e4f98d3808b98c980b902f4ce6dc3864fefc365 | /ipython_config.py | b62195b5c7096e72a48c344532d21e5bdd32ccf0 | [] | no_license | tom-doerr/dotfiles | bdd608bd147beafc78b99d1530f4211a1751c069 | 9603e64c4dcfb18626c3051abc660c1c213db817 | refs/heads/master | 2023-08-08T13:31:14.489282 | 2023-07-28T14:26:47 | 2023-07-28T14:26:47 | 117,894,597 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 22,406 | py | # Configuration file for ipython.
#------------------------------------------------------------------------------
# InteractiveShellApp(Configurable) configuration
#------------------------------------------------------------------------------
## A Mixin for applications that start InteractiveShell instances.
#
# ... | [
"tom.doerr@tum.de"
] | tom.doerr@tum.de |
75d3392dc40e06676c640968578a29a6e4230e6b | 1e139784a36ce2a26dafaac0bb795b168ca91776 | /electron_project/abstract/migrations/0003_delete_workeraccount.py | bda3728b90ddb267ad2ad6addfa863d7ca628b2e | [] | no_license | TestAccount2077/Mas-Electronics | a9f4431be7ea740b99616cb4ce4acf9bba46096f | 6bb887805900affdcd905deb33b341892bebd41f | refs/heads/master | 2020-03-28T15:11:57.044686 | 2019-01-26T16:01:55 | 2019-01-26T16:01:55 | 148,566,318 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 363 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.11.2 on 2018-10-20 04:57
from __future__ import unicode_literals
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('abstract', '0002_workeraccount'),
]
operations = [
migrations.DeleteModel(
... | [
"maselectronics594@gmail.com"
] | maselectronics594@gmail.com |
6a6293a6a797e6bfa61d9f42a97405b209674de1 | 87b4f4074c3eb18ed4b83e698237205637a249b0 | /Examples/IPv4 Address/add_static_ip4_address_example/add_static_ip4_address_example_page.py | 4b4d0419e59cdc6d7b922628f12e4549dee45d3a | [
"Apache-2.0"
] | permissive | glennmcallister/gateway-workflows | 1b18d5c3a4bb8d0be6cf343f184144b5136458d0 | d9daa0ba4efa9715ed40ef7e54b2b98fba4bb63e | refs/heads/master | 2021-03-24T13:24:39.607721 | 2017-10-25T20:30:22 | 2017-10-25T20:33:02 | 109,297,506 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,211 | py | # Copyright 2017 BlueCat Networks. All rights reserved.
# Various Flask framework items.
import os
import sys
import importlib
from flask import url_for, redirect, render_template, flash, g, request
from bluecat import route, util
from bluecat.api_exception import APIException
import config.default_config as config
... | [
"vfarafontov@bluecatnetworks.com"
] | vfarafontov@bluecatnetworks.com |
7dc113ee481c418f95b7e7967637e33cc63663f3 | a41735b5092b1f8576e21ca6c7b93b57ebae58b2 | /processing_tennis_matches.py | 68b33567ba963e5426117bd7ca9dc92c84511859 | [] | no_license | ajkrish95/cs229-tennis-prediction | 300f378f8e8aa17c71e5a248f2afbb032cc146ca | 6609486defcb2af19e3f31b5d42aeedf5ee76ceb | refs/heads/master | 2020-11-24T05:26:10.972751 | 2019-12-14T07:29:27 | 2019-12-14T07:29:27 | 227,983,585 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 38,163 | py | import csv
import matplotlib.pyplot as plt
import numpy as np
import json
from sklearn.linear_model import LogisticRegression
from sklearn import svm
from sklearn.ensemble import RandomForestClassifier
def getdays(date1):
year1 = int(date1[0] + date1[1] + date1[2] + date1[3])
month1 = int(date1[4] + date1[... | [
"noreply@github.com"
] | ajkrish95.noreply@github.com |
c82c8b8c6b31aa7a2fbea0a59b5f32fd34dcd6e1 | d9f4400d47e0ce914be636698365e26f836b766c | /apps/screen/urls.py | 71d2c6af754bfffc99bcf77e2a85e73445a03918 | [] | no_license | otonelunico/prevex | deffc3cfd82354b20e61ac636b2b7fb4dd48d360 | e32efb317a05031a5e0c454d3343748ea7ff534e | refs/heads/master | 2021-01-22T08:39:26.389747 | 2017-06-24T20:52:27 | 2017-06-24T20:52:27 | 92,628,288 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 481 | py | from django.conf.urls import url, include
from apps.screen.views import index, Settings, Prevent_, Video_
from django.contrib.auth.decorators import login_required
urlpatterns = [
url(r'^$', index, name='index'),
url(r'^settings/$', login_required(Settings), name="settings"),
url(r'^prevent/(?P<funct>\w+)/... | [
"ocubillosj@gmail.com"
] | ocubillosj@gmail.com |
c13a51b1f3b36682ca85ce3ef6df16001152ec90 | a2a0a6db5781626035e3657f7be8034579aad3d0 | /app.py | 0fe9f88555fff88aa16e02d1ded9aba9257744c3 | [] | no_license | lpreimesberger/otr | 07c8d2d8ed0c5dc9fcbcc6c58abe869e1d8df3ea | 0024ffaa866c1c89f2ce7becb870501c63881f98 | refs/heads/master | 2023-02-09T11:14:08.783890 | 2020-12-23T20:57:08 | 2020-12-23T20:57:08 | 296,576,483 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,153 | py | """
burning man 2021 project
numbers from: https://freemusicarchive.org/music/The_Conet_Project
"""
#!/usr/bin/env python
import sys
import os
import random
from time import sleep
import psutil
from pydub import AudioSegment
from pydub.playback import play
from threading import Lock
from flask import Flask, render_te... | [
"meathead123"
] | meathead123 |
59dc987bd295de691feb48bd7cd6fb3b0022b320 | 7ce00c738fea22b200e8c0b5f14110da678f3560 | /MayLongchallenge3.py | eb830d191c73038b09f517abe1efa92e75940827 | [] | no_license | Yogesh-001/Python | c0c929100b169b17d178436a3a43b64518e5d576 | 6cb25790c4f0de3d21389377ee978830a3febd56 | refs/heads/main | 2023-05-07T01:55:05.120602 | 2021-06-02T14:44:41 | 2021-06-02T14:44:41 | 354,456,700 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 120 | py | # cook your dish here
t=int(input())
for _ in range(t):
p = (int)(1e9+7)
n=int(input())
print(pow(2,n-1,p))
| [
"noreply@github.com"
] | Yogesh-001.noreply@github.com |
dd5e2a1ea852ce0926d23d2517ce7a6499aa5d2c | 75bd816c06203f9ae8b988b1f51778b199fbe629 | /backend/app/db/__init__.py | 47daae9c5a072f088859a5a05e80b73162277462 | [] | no_license | mcptr/bbone-js-py | ce209e377976707d1e0661fda5d5ceb6452dd8a1 | ee07dce6907c645fbdd843daa80604d7228778b1 | refs/heads/master | 2020-03-27T00:11:34.310231 | 2018-08-21T18:17:30 | 2018-08-21T18:17:30 | 145,602,495 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 19 | py | from . db import *
| [
"dev@metaceptron.com"
] | dev@metaceptron.com |
d91f30dbf517bb4df1471f50de15a38476683448 | 41cf0c7473ffb214633f793087f765d3208b5eab | /naslib/predictors/trees/__init__.py | 3542b946613e40dd5c3cf7e1a0ee6a447dcaa350 | [
"Apache-2.0"
] | permissive | sailor921/NASLib | 7ca38dcbe6ef87ee388e57c8a8b54f3b9d75189c | a91a4714e08aca2507f1cec15e125e8c405bcaaa | refs/heads/master | 2023-03-31T04:33:10.910230 | 2021-04-05T04:33:35 | 2021-04-05T04:33:35 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 170 | py | from .base_tree_class import BaseTree
from .ngb import NGBoost
from .xgb import XGBoost
from .gbdt import GBDTPredictor
from .random_forest import RandomForestPredictor
| [
"zelaa@cs.uni-freiburg.de"
] | zelaa@cs.uni-freiburg.de |
734a353a9b4a5f50f3a72adeae60c79376b0e30d | e82245a9e623ef3e2b4b9c02f0fd932c608c4484 | /firecode.io/08-find_the_transpose_of_a_square_matrix.py | 3d2ba5c22dcb19e7aba1339638498c7d1921455a | [] | no_license | Zylophone/Programming-for-Sport | 33e8161028cfddce3b7a1243eb092070107342e3 | 193d6184f939303d8661f68d6fd06bdec95df351 | refs/heads/master | 2020-06-16T23:11:44.719286 | 2017-05-21T17:10:46 | 2017-05-21T17:10:46 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 450 | py | '''
Args:
- matrix (list of lists)
- a square matrix
Modifies:
- arg into its transpose in-place
Returns:
- nothing (None)
Complexity:
- O(n^2) time
- O(1) extra space, in-place
'''
def transpose_matrix(matrix):
if matrix is None:
return None
n= len(matrix)
... | [
"jfv33@cornell.edu"
] | jfv33@cornell.edu |
9aa0ccb8b6f0b1229c280b27cf975f65ac1d9503 | 55ca1d0e6fbd6e1b024eb59068e3d6ae2c466882 | /dice.py | cc51e4ec8e0004b48d7abddf1e59ab0e7493b1ff | [] | no_license | coding-world/led-matrix | 899c2c126a5c4305fa25dc81bb8249fed23d9175 | ef47bc0b44330a9b0b7ef8f8757bdd674afee13f | refs/heads/master | 2021-01-09T20:07:47.894084 | 2016-08-13T17:10:34 | 2016-08-13T17:10:34 | 65,627,897 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 486 | py | import RPi.GPIO as gpio
import time
import max7219.led as led
from random import randint
from max7219.font import proportional, SINCLAIR_FONT, TINY_FONT, CP437_FONT
gpio.setmode(gpio.BCM)
taster = 14
tasterStatus = 0
gpio.setup(taster,gpio.IN,pull_up_down=gpio.PUD_UP)
matrix = led.matrix()
def neue_zahl(channel):
... | [
"samuel@jugend-programmiert.com"
] | samuel@jugend-programmiert.com |
74557e0c1abec5628914160e2920d0efd85752c9 | 57b0ca183f325a06da5aef60b18e7ba03657e623 | /alpha.py | a060dbef2004cbd5c8f4ea43a6a0eb553aecff3d | [] | no_license | vickyrr24/guvi | 5baa287195c8ce9e1259091f54f1885e3ec2ad83 | 3fa306d901a76071acb48da7db724ba1725c63af | refs/heads/master | 2020-05-28T02:24:05.829944 | 2019-08-01T09:38:24 | 2019-08-01T09:38:24 | 188,852,485 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 119 | py | ch = input()
if((ch >= 'a' and ch <= 'z') or (ch >= 'A' and ch <= 'Z')):
print("Alphabet")
else:
print("No")
| [
"51054175+vickyrr24@users.noreply.github.com"
] | 51054175+vickyrr24@users.noreply.github.com |
484a63b88f96b2ae3a944ccd12b5db00e8411892 | 89fcda1a024b2b341c2995891fcefc0aa3196c11 | /util.py | 2513f97b737a64896bbe418f4ea52038f446ef37 | [] | no_license | guruzoa/DBPI-BlindSR | e05d018dc0369b2414c5745e6f4ae69c8215a2ed | 5c7702cfd34018ea93576755afe1b0bbc67e7fd6 | refs/heads/master | 2022-12-08T09:43:33.168318 | 2020-08-31T10:41:46 | 2020-08-31T10:41:46 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,710 | py | import torch
import numpy as np
from PIL import Image
from scipy.signal import convolve2d
def move2cpu(d):
"""Move data from gpu to cpu"""
return d.detach().cpu().float().numpy()
def tensor2im(im_t):
"""Copy the tensor to the cpu & convert to range [0,255]"""
im_np = np.clip(np.round((np.transpose(mo... | [
"noreply@github.com"
] | guruzoa.noreply@github.com |
81c239cc97dac7e912fc4ac2e31f9fd9697588f7 | 5dd82b92cef1ff19d5b5a42b4d0388b7456535b0 | /zajecia02/del01c.py | 6a2d457b786505037a666a8dbb7729c8b89bc5ee | [] | no_license | grzeborz/codeme_pyth_adv | 0bd350daf56baf228c6639913ce964b290cee5be | 98808d179d6dec8e11ed04d172fd12810469a0ae | refs/heads/master | 2023-02-06T13:06:12.915439 | 2020-03-02T21:15:36 | 2020-03-02T21:15:36 | 238,560,637 | 0 | 0 | null | 2023-02-02T05:14:21 | 2020-02-05T22:23:54 | Python | UTF-8 | Python | false | false | 214 | py | class Klass:
def __init__(self):
print('Nowy obiekt:', self)
def __del__(self):
print('Usunięto obiekt:', self)
if __name__ == '__main__':
k1 = Klass()
print('Koniec programu')
| [
"grzegorz.szyperek@gmail.com"
] | grzegorz.szyperek@gmail.com |
5db1fbf5131e9fcb3b1160d38c497df02b701c2d | 12a5b72982291ac7c074210afc2c9dfe2c389709 | /online_judges/Codeforces/113/A/code.py | 6a269bbf442e5a4f164b88db14eb1cdb942cc845 | [] | no_license | krantirk/Algorithms-and-code-for-competitive-programming. | 9b8c214758024daa246a1203e8f863fc76cfe847 | dcf29bf976024a9d1873eadc192ed59d25db968d | refs/heads/master | 2020-09-22T08:35:19.352751 | 2019-05-21T11:56:39 | 2019-05-21T11:56:39 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 270 | py | s = ["lios","liala","etr","etra","initis","inites"]
input_string = raw_input().split()
answer = True
for e in input_string:
flag = False
for k in s:
if e.endswith(k):
flag = True
if not flag:
answer = False
break
if (answer): print "YES"
else: print "NO"
| [
"mariannelinharesm@gmail.com"
] | mariannelinharesm@gmail.com |
b6d6600a7f6b283bd1bc4668a6c9dba2a2c17779 | 20a8c6b3a8a2e21a2af58cb13383959352b74976 | /models/resnet/resnet18.py | 0635a71a6dbf1677a77c74550826bc455261b5d7 | [] | no_license | ririverce/neural-network-pipeline | 5f4a028f371c3820847ad75fa6b93397fdb3d0ba | 13d58c2f4370e239e6781da538c208564a147333 | refs/heads/master | 2022-10-06T02:53:07.500727 | 2020-06-01T01:25:07 | 2020-06-01T01:25:07 | 235,989,100 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,904 | py | import torch
import torch.nn.functional as F
from models.resnet.resnet_components import ResidualBlock
class ResNet18(torch.nn.Module):
def __init__(self, input_channels, num_classes):
super(ResNet18, self).__init__()
self.input_channels = input_channels
if type(num_classes) is list:
... | [
"ririverce@gmail.com"
] | ririverce@gmail.com |
89c9f9e46665a2454c9859f9dcb6c2109c28180a | 9f571823bbbd3dbd1bbc75b0918c45b0a4d1f2f9 | /loss_functions_keras.py | 02c8615efc6989c03aefad1b157b86d9846682d9 | [] | no_license | woooo95/useful-codes | 61bfada92156eeb62ebdc9172d13e1658ff454f0 | dc328fb3d929d22afe80264068cd65523ba9febc | refs/heads/main | 2023-04-07T09:56:18.872038 | 2021-04-13T04:55:03 | 2021-04-13T04:55:03 | 357,427,448 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,584 | py | import numpy
import keras
import keras.backend as K
#DiceLoss
def DiceLoss(targets, inputs, smooth=1e-6):
#flatten label and prediction tensors
inputs = K.flatten(inputs)
targets = K.flatten(targets)
intersection = K.sum(K.dot(targets, inputs))
dice = (2*intersection + smooth) / (K.sum(ta... | [
"kswoo3030@korea.ac.kr"
] | kswoo3030@korea.ac.kr |
bcc1bcb89bfa3c79f11eb519c8602ae48751272e | 69ac330e946e6be0ea58e10b4647cf9771cc28cc | /comments/migrations/0001_initial.py | c21e325499116ca51dc26a9278846a59de3ed60b | [] | no_license | dcbaker1992/YouTube_backend | 83a4f2f41b34ce89e57eab8dacbd395041417b89 | 0f532adc283ebb314838fb9e35787b95246fa823 | refs/heads/main | 2023-06-04T01:58:32.430652 | 2021-06-29T17:22:29 | 2021-06-29T17:22:29 | 379,698,343 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,135 | py | # Generated by Django 3.1.8 on 2021-06-23 19:51
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Comment',
fields=[
... | [
"schmidt1519@gmail.com"
] | schmidt1519@gmail.com |
5be18446763910fd04a7f72bed150df5e238ae6e | 337d3a3cc8d8df90848456227f35c2422ab2df0c | /cmar.py | e38658a66dddc9abf2d12552a935fae78c0bd31e | [] | no_license | rb640/CmarReports | 005da6e5369b9385c3a4716a2be662ffbf9d80b4 | 68e61bb389d78ded62f19580770b008e1f005bcb | refs/heads/master | 2021-01-21T11:40:32.752129 | 2015-07-24T03:47:19 | 2015-07-24T03:47:19 | 17,615,415 | 1 | 0 | null | 2014-04-17T01:22:39 | 2014-03-11T02:09:19 | Python | UTF-8 | Python | false | false | 3,490 | py | # -*- coding: utf-8 -*-
"""
Flaskr
~~~~~~
A microblog example application written as Flask tutorial with
Flask and sqlite3.
:copyright: (c) 2014 by Armin Ronacher.
:license: BSD, see LICENSE for more details.
"""
import os
from rpttree import get_logs_list
from sqlite3 import dbapi2 as sqlite... | [
"junk@ronbarnard.com"
] | junk@ronbarnard.com |
e150154f909cece055f4e8c8dc55d8fe129130e0 | 931e18f0102882b917f85788ad9094bc2b5ec625 | /Python/Django/dojo_ninjas/main/apps/dojo_ninjas/migrations/0001_initial.py | 0557ce657151b24c302a5e6cf7392b52cdbb0ff4 | [] | no_license | jaechoi15/CodingDojoAssignments | 5008591e36989332493197ed3b5ca3525877ecdd | ce44710722cb6f17c888b2f29d8243fb8862ce86 | refs/heads/master | 2021-05-05T15:33:10.022211 | 2018-06-10T03:39:43 | 2018-06-10T03:39:43 | 108,343,247 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 669 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.11.11 on 2018-03-16 14:44
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Dojo'... | [
"jchoi625@gmail.com"
] | jchoi625@gmail.com |
653c6ee77e55fe39bf26522d6e3e04161daa0ce3 | 022104aa2456429356bdd26c701a2949381a83cf | /install/lib/python2.7/dist-packages/robotnik_msgs/msg/_SetElevatorFeedback.py | fe9731c70b42e53a2afd11197435c3aea3f8e08d | [] | no_license | nachocz/campero_ws | 204f313d5fbdb81d1f7cc568341a1170ddd2b4cf | f2b09f96165166c0e867e3f5f3dcd092dbac1c1b | refs/heads/master | 2023-02-02T03:25:56.603172 | 2020-12-11T11:28:42 | 2020-12-11T11:28:42 | 320,539,897 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,506 | py | # This Python file uses the following encoding: utf-8
"""autogenerated by genpy from robotnik_msgs/SetElevatorFeedback.msg. Do not edit."""
import codecs
import sys
python3 = True if sys.hexversion > 0x03000000 else False
import genpy
import struct
import robotnik_msgs.msg
class SetElevatorFeedback(genpy.Message):
... | [
"nachocz@gmail.com"
] | nachocz@gmail.com |
5b53a36bee2036572206bbee9f1c7c467f6c0d83 | bc1b6df82b2d5897549399363f95ef4d05c9ac54 | /18B09784-04-06_a.py | 0ff99eda559d47b568b19743e8a98cafa162df08 | [] | no_license | Tananan-Jee/exp_ict_34 | 45945a11341c9a1b859693456d61f7aa21df979c | f582bd48c9c4532a41da7026b6e5c0046d2fa5ec | refs/heads/master | 2021-05-19T05:57:01.350274 | 2020-03-31T09:27:16 | 2020-03-31T09:27:16 | 251,556,749 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,336 | py | # -*- coding: utf-8 -*-
#プログラミング言語：Python version 3.8.0
#コンパイル方法：python3 18B09784-04-06_a.py
#実行方法：ターミナル上で python3 18B09784-04-06_a.py を実行
import math
import numpy as np
def print_array(array):
for i in range(len(array)):
print(''.join(map(str,array[i])))
def add(array1,array2):
array=''
x=''
... | [
"noreply@github.com"
] | Tananan-Jee.noreply@github.com |
13df03b871310d1372d8dcd906428643b3748f60 | 482de18083520953c95120a9c421a8a08c0e5aee | /lib/common/wdr/task.py | 629f7b73d8fc481bf0d37058e655e9e5522115f2 | [
"Apache-2.0"
] | permissive | WDR/WDR | 9cbb7ef28e922db83849663fcc5cb9a8c1523b52 | 5e2576cbff2675f7338e31abd673cd761eeb802b | refs/heads/master | 2021-07-08T23:41:39.598603 | 2021-04-01T20:24:40 | 2021-04-01T20:24:40 | 4,683,359 | 32 | 28 | NOASSERTION | 2021-04-01T20:13:17 | 2012-06-16T08:46:16 | Python | UTF-8 | Python | false | false | 1,436 | py | import logging
import re
import wdr
(
AdminApp, AdminConfig, AdminControl, AdminTask, Help
) = wdr.WsadminObjects().getObjects()
logger = logging.getLogger('wdr.task')
_listPattern = re.compile(r'\[(.*)\]')
_itemPattern = re.compile(
r'(?<=\[)'
r'(?P<key>\S+)'
r'\s+'
r'(?:'
+ (
r''
... | [
"mplonka@gmail.com"
] | mplonka@gmail.com |
65d840aff58fbb8be0d0880fe19a3af7eccfdc7a | 9e57a2776dc5b91d29eb3c5370934c3ef5cb1e74 | /sudukoSOLVER/newBoard.py | 608dd885df36355a48643300ad96b79cd16350a2 | [] | no_license | steffanp98/Freelance | 38e42d7ade9051d215e417d170bf410df45a41b4 | bf49597a2329d781ca681f1976f19c2578cde515 | refs/heads/main | 2023-07-13T00:47:37.336942 | 2021-08-05T23:29:48 | 2021-08-05T23:29:48 | 393,140,478 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,263 | py | class board(object):
def __init__(self,board_file):
self.board = self.__create_board(board_file)
def __create_board(self,board_file):
#create the matrix data struct for the board
board = []
#iterate over each line of the matrix
for line in board_file:
line = l... | [
"steffan.phillips@hotmail.com"
] | steffan.phillips@hotmail.com |
2ffa0b789fd7bedb02f8cc8683ee87eb0cdbb113 | 1bf9f6b0ef85b6ccad8cb029703f89039f74cedc | /src/spring/azext_spring/vendored_sdks/appplatform/v2022_01_01_preview/aio/operations/_build_service_agent_pool_operations.py | 3f303bb5a4713c0abb643d1787ec91d545c4e585 | [
"MIT",
"LicenseRef-scancode-generic-cla"
] | permissive | VSChina/azure-cli-extensions | a1f4bf2ea4dc1b507618617e299263ad45213add | 10b7bfef62cb080c74b1d59aadc4286bd9406841 | refs/heads/master | 2022-11-14T03:40:26.009692 | 2022-11-09T01:09:53 | 2022-11-09T01:09:53 | 199,810,654 | 4 | 2 | MIT | 2020-07-13T05:51:27 | 2019-07-31T08:10:50 | Python | UTF-8 | Python | false | false | 22,671 | py | # pylint: disable=too-many-lines
# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRe... | [
"noreply@github.com"
] | VSChina.noreply@github.com |
fe127ffd20fb046fece7f6a04ab6c4c45564fef9 | 8b9e8ea570070db4b9b7e75c1b818d4518aff81a | /main.py | fdf8710a5bf752e72b0b345efef59359146afbd2 | [] | no_license | cygong/lstm_simple_sinus | eb6db1449946c567b044b4a890a555a03f1ceac3 | 2e9cb32317acf8afe00663b2ed9b35f1f4107542 | refs/heads/main | 2023-03-27T09:21:05.473240 | 2021-03-29T03:26:11 | 2021-03-29T03:26:11 | 352,504,474 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,458 | py | from model import *
from generate_data import *
from torch.utils.data import DataLoader
import matplotlib.pyplot as plt
def main():
# generate_data
dataset_train,dataset_test = generate_data()
#neural network
model = neural_network()
train(model,dataset_train)
test(model,dataset_test... | [
"noreply@github.com"
] | cygong.noreply@github.com |
93bf069315275af00c1b6b2ba64ba2d59d2877ca | 201e9473ee35b00b7fffe9e59724b3c98c986add | /utils.py | aa001cbad72eec8289ec16376c3850c627f6cb63 | [] | no_license | Harshp1802/pos_negation | 810e1bb1ca11c033efb2ea2eaa00475ea9c0a699 | b74f58e531c9591f59193674e86e211b9b15bac2 | refs/heads/master | 2023-06-27T01:20:31.366975 | 2021-06-19T17:34:12 | 2021-06-19T17:34:12 | 371,942,316 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,748 | py | from sklearn.metrics import f1_score
import torch
# def create_vocab(training_sentences, training_POS):
# words, tags = set([]), set([])
# for s in training_sentences:
# for w in s:
# words.add(w.lower())
# for ts in training_POS:
# for t in ts:
# tags.add(t)
# ... | [
"45335740+Harshp1802@users.noreply.github.com"
] | 45335740+Harshp1802@users.noreply.github.com |
aa5e3ad78d8d478ac37adf19c49d550439526cd0 | 9f177297a490a3b2604bda027eac87deccb22ade | /convert_html.py | 1dbc9e39c4657d4ad6e8d32f3cfbfc71b3cdf869 | [] | no_license | lin826/Janet | a27cdd5043f18b53911fdec4a3d6fe1613c0b5d1 | cbb59cdeddb57bad44d57060dfd4bd402f0fd9df | refs/heads/master | 2021-12-14T16:45:40.745307 | 2021-12-13T05:00:06 | 2021-12-13T05:00:06 | 88,283,857 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,037 | py | INPUT_TXT = 'data/doc_origin.docx.txt'
OUTPUT_HTML = 'test.html'
str_rating = "<div class='ui huge star rating'></div>"
str_solved = "<button class='ui primary button'>Solved</button>"
full_page = ""
def write_content():
global full_page
with open(INPUT_TXT,'r') as file:
c = file.readline()
... | [
"liniju826@gmail.com"
] | liniju826@gmail.com |
0271411a63fff75c6ccceb030d69175bd3075563 | cbf9f600374d7510988632d7dba145c8ff0cd1f0 | /abc/207/a.py | ab70569c2994dfed4061f58d6ae22f8216cea250 | [] | no_license | sakakazu2468/AtCoder_py | d0945d03ad562474e40e413abcec39ded61e6855 | 34bdf39ee9647e7aee17e48c928ce5288a1bfaa5 | refs/heads/master | 2022-04-27T18:32:28.825004 | 2022-04-21T07:27:00 | 2022-04-21T07:27:00 | 225,844,364 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 62 | py | a, b, c = map(int, input().split())
print(max(a+b, b+c, c+a))
| [
"sakakazu2468@icloud.com"
] | sakakazu2468@icloud.com |
f4daf147759bbfcfded6daaf2aec856edc7bed2d | 1d9706595c9d2a18c7de072804f8e566eef219fd | /utils/base_utils.py | 6aef92b19c7a6b3ae354e538d74f1f067725f6a2 | [] | no_license | bimo12138/tornado_demo | 506e19337b918d7644b218303d2c5a51efe629ea | bc5fe2f44e5cf1a78a1b6faf1161e1410c948dd3 | refs/heads/master | 2022-11-15T08:44:12.000690 | 2020-07-18T05:15:30 | 2020-07-18T05:15:30 | 280,369,359 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,659 | py | """
@author: 13716
@date-time: 2019/7/1-19:17
@ide: PyCharm
@name: base_utils.py
"""
import hashlib
import uuid
from model.models import Students, Teachers
import time
import base64
import time
import hmac
def hashed(text):
return hashlib.md5(text.encode()).hexdigest()
class GetUuid(object... | [
"1371639183@qq.com"
] | 1371639183@qq.com |
c43e8a88c499ba3fea713b72bb54b40182ee466a | 44ee0d902a9cd7d321e4ed7c0962ef9ffb978e10 | /tile_editor.py | a930432d2c4ff789009cb1a9b9e3a338b0b081a1 | [] | no_license | aashishthy/Tile_editor | f085238fdb2e63bbf5d83d686185af99faf6627c | d177c1fecdeb8055f4a607236f738de2a3af29db | refs/heads/master | 2020-03-06T21:04:55.846952 | 2018-03-28T02:08:52 | 2018-03-28T02:08:52 | 127,069,664 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 15,911 | py | """
Following are the modules used for creating the tile editor
"""
import pygame
import PIL.Image
from tkinter.filedialog import askopenfilename
from tkinter.filedialog import asksaveasfilename
from tkinter import messagebox
from tkinter import *
import os
import glob
from shutil import copy
from te_constants import ... | [
"aashish.thyagarajan@gmail.com"
] | aashish.thyagarajan@gmail.com |
6293b1c33585bb63fb13582f05d372a5eb3c69d1 | 84137a5667299b375dc1a3fc70ac339a70559e1f | /simulation.py | 40356f9c6c0eb348b28468cfe1d62686984c2983 | [] | no_license | Sabotaz/hypersonic | 3c150b411243acf0f5a718449de65a905ee8a31a | 906fa55d75246667b704ca7bb5e3e5088f38ecfa | refs/heads/master | 2021-01-24T08:46:40.932841 | 2017-06-06T14:32:29 | 2017-06-06T14:32:29 | 93,395,784 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,259 | py |
import config
import functools
import utils
import random
def simulate_turn(game):
game.next_turn()
actions = [choose_action(game,pid) for pid in range(config.NB_JOUEURS)]
my_action = None
for action in actions:
if action.pid == config.MY_ID:
my_action = action
game.apply_a... | [
"sablier@zendikar.fr"
] | sablier@zendikar.fr |
ae2d9e4f8d5f960e48a22b646f462eb9b28643a7 | 709d9a545802b9ab36d0969dcd066e23ee6afd50 | /bounds.py | 3c7c3df93eb493d2a1ae9249b9dce6e68be54bf6 | [] | no_license | yang0110/graph_signal_processing | 65d1cafd7967b1949c140c51818680c592631300 | 9639e4da9c1f7ff31465b757e18d5d2397cfd4d2 | refs/heads/master | 2020-04-04T19:39:17.905570 | 2019-01-17T18:47:24 | 2019-01-17T18:47:24 | 156,214,993 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 4,862 | py | import numpy as np
import matplotlib.pyplot as plt
from sklearn.metrics.pairwise import rbf_kernel
from sklearn.preprocessing import Normalizer
from scipy.sparse import csgraph
import scipy
import os
os.chdir('Documents/research/code/')
import datetime
import networkx as nx
from bandit_models import LinUCB, Graph_r... | [
"noreply@github.com"
] | yang0110.noreply@github.com |
737afb20142aa4df6664eaa1655c26902c8de00b | 81d220b8e45ad167e283ffda2feefd2bfb7fb1a4 | /manage.py | 3bbd89d416b4caa1e11790a9cd19b787f3cc6229 | [] | no_license | danieljcs/pira_truths | c57333f9b116f0f387ee0cc45e633fca13a8b5b3 | f9d9c51335a5d01ed5f0bafad5a614c14049d60b | refs/heads/main | 2023-01-13T16:32:32.814092 | 2020-11-18T12:53:21 | 2020-11-18T12:53:21 | 313,933,295 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 667 | py | #!/usr/bin/env python
"""Django's command-line utility for administrative tasks."""
import os
import sys
def main():
"""Run administrative tasks."""
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'pira_truths.settings')
try:
from django.core.management import execute_from_command_line
except ... | [
"50522425+danieljcs@users.noreply.github.com"
] | 50522425+danieljcs@users.noreply.github.com |
bef36379784dfd5d27c3748d08a7c9263568ac69 | 8b3047774c7cb24d3cec4cd38321558863ccec4d | /training-set/train_frame.py | 693177ae4fb6653134f4ae6d9ad443880063a85a | [] | no_license | aman-jakkani/636-Final-Model | e1b47979f102d37ae9f2996861ee1861fbf049de | fa003571e0a2df0d58e0ba554b19263ce17026e4 | refs/heads/master | 2022-06-06T03:16:58.675226 | 2020-05-01T21:16:02 | 2020-05-01T21:16:02 | 260,517,772 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 817 | py | #framer program
#
# all imports
import cv2
import math
frame_count = 0
videoFiles = ['gettinginto_1.mp4', 'gettinginto_2.mp4', 'gettingout_1.mp4', 'gettingout_2.mp4', 'gettinginto_3.mp4', 'neither_1.mp4', 'gettingout_3.mp4',
'gettingout_4.mp4', 'gettinginto_4.mp4', 'gettinginto_5.mp4']
for each in videoFile... | [
"aj280598@gmail.com"
] | aj280598@gmail.com |
a67d6079a5eec64bc07497534737ee8ef949dd51 | 3ab1f37b4372d0796c85ef24343dd8c03accb6ef | /CoinBase/ConnectFour.py | aa65bc2e3204e93c5a8b26877efbaf25d28eb2c3 | [] | no_license | Blossomyyh/leetcode | 2be6a99534801fc59fe9551317ca49c3704b1c3d | 38615779eb43d147587467e11dc22761ac0726cb | refs/heads/master | 2023-01-22T16:56:26.624677 | 2020-11-20T13:47:43 | 2020-11-20T13:47:43 | 266,845,278 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 3,135 | py | """
Connect 4
use get column and line and diagonals to find wins
4 ->wins
https://codereview.stackexchange.com/questions/225840/a-simple-connect-4-game-in-python
https://github.com/KeithGalli/Connect4-Python/blob/master/connect4.py
Better solution:
focus on the current move's row and col! to check wins
"""
TEAM1 = ... | [
"blossomyyh@163.com"
] | blossomyyh@163.com |
5f2abcf4f52ffd5536b61da41e9a77fe6fcd0b3a | 2560d2678456d6d2efb889fb4ddde6aedb772a6a | /601IntroToEEAndCSI/solutions/python_tutorial/section7/712worksheet.py | b2a259220f6fac92c926ae6f82eebf4a6250b9c4 | [] | no_license | GolfyMcG/MIT_Classes | 2b53896fc8fd9ebc593a56f0a614adb994734fde | 367e75f7638a377b8035ad1b6e064892b3a276cf | refs/heads/master | 2021-01-01T15:29:42.719979 | 2014-07-22T04:43:26 | 2014-07-22T04:43:26 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 742 | py | import sys
import os.path
sys.path.append(os.path.join(os.path.dirname(__file__), '../modules/'))
import checkers
n = 0
def emptyAlist():
return []
def addEntry(al, k, v):
al.append([k, v])
def lookup(al, k):
#return (pair for pair in al if pair[0] == k)
for pair in al:
if pair[0] == k:
return pai... | [
"avilla0429@gmail.com"
] | avilla0429@gmail.com |
f57152994f9ef694ce26e8b9cde3dd48fc02ec45 | 48df8729bc22f7f5560e2a19504e9d949818e8c9 | /urlform/forms.py | 68fbb69e2d08a672581f040146bdcd243260f0b4 | [] | no_license | njdevil/shorten-url | 27bb3e3b0dcde9a29ae32c51a284b92d770b53b5 | c22a0972c80f31a04a774e7046621f0669c0e785 | refs/heads/master | 2021-01-01T19:35:12.280228 | 2013-11-07T08:03:08 | 2013-11-07T08:03:08 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 182 | py | from django import forms
from ****.urlform.models import ShortLinks
class ShortLinksForm(forms.ModelForm):
class Meta:
model = ShortLinks
fields = ('long_url',)
| [
"root@mpsclient.info"
] | root@mpsclient.info |
c0573c684911278d9ca87fad422d50b5649709c8 | 095f35858f26e1b1f456f5462512b1b42c6419da | /venv/Part2/XML_1.py | ff3178520e3011bec73c0af64ca96de4dd2d2d96 | [] | no_license | rheehot/DataBaseWithPython | 9aa456880beea8195b8691854f2cf23f145f142d | 1261223a4b64ae8925ec0bc4cfbb7fc5138a302f | refs/heads/master | 2023-01-07T21:06:09.750691 | 2020-11-15T13:44:29 | 2020-11-15T13:44:29 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,151 | py | # 메모리에서 XML의 XDM 트리 처리하기
import xml.etree.ElementTree as ET
# 파이썬 객체를 메모리에 로딩하여, XML 스트링 (XDM 트리)로 변환.
newDict = {
'PLAYER' : [
{'PLAYER_ID': '2007001', 'PLAYER_NAME': '정병지', 'TEAM_ID': 'K03', 'E_PLAYER_NAME': 'JOENG, BYUNGJI', 'NICKNAME': None, 'JOIN_YYYY': '2011', 'POSITION': 'GK', 'BACK_NO': 1... | [
"9h0jun1115@gmail.com"
] | 9h0jun1115@gmail.com |
339700e4ddf899c0336dd7012c4c6385c8eb3cbb | 9716a77ef1d0ba5ef9a61be04f6229494744d5d5 | /chapter06 정렬/위에서 아래로.py | 158d19ce05bdd45aaedf7a1c03c28402fb6a8ac5 | [] | no_license | korea-space-codingmonster/Algorithm_Study | 98b00c81839cf8ac8365d3982c25650a21226ce9 | 8c92857e458994a2d1d77dc3ea0d4b645b8b6a4b | refs/heads/main | 2023-06-03T20:00:52.915447 | 2021-06-20T05:51:47 | 2021-06-20T05:51:47 | 329,354,196 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 712 | py | # 하나의 주열에는 다양한 수가 존재한다. 이러한 수의 크기에 상관없이 나열되어 있다.
# 이 수를 큰 수부터 작은 수의 순서로 정렬해야한다. 수열을 내림차순으로 정렬하는 프로그램을 만드시오.
# 입력조건
# 첫째 줄에 수열에 속해 있는 수의 개수 N이 주어진다.(1 < N <= 500)
# 둘째 줄부터 N + 1번째 줄까지 N개의 수가 입려된다. 수의 범위는 1이상 100000이하의 자연수이다.
# 입력예시
# 3
# 15
# 27
# 12
# 출력예시
# 27 15 12
n = int(input())
array = []
for i in range(n)... | [
"replituser@example.com"
] | replituser@example.com |
88702a2b262efec4b9998b739edd2a203fb96bf5 | 3930ffcf78a3a80b53fc47317cddce79f416d1d8 | /bsconsulting.py | c580eee8d1ed1bc6211f8767a3f0df8715c0be62 | [] | no_license | r3ap3rpy/bogusconsultation | 4986328b3f6d77ec0499fb9eb58dcee559672dfb | 5a44f5ba1f2af40a6de17e8e23e0d2df9beb3cba | refs/heads/master | 2022-11-24T09:09:54.001725 | 2020-07-28T15:19:53 | 2020-07-28T15:19:53 | 283,228,947 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,229 | py | from selenium import webdriver
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.common.keys import Keys
from queue import Queue
import os
import itertools
import argparse
import requests
import threading
if not os.sys.platform == "win32":
raise SystemExit("This script can only run ... | [
"dszabo@itron.com"
] | dszabo@itron.com |
a0414e6d33697862f9e5277510df817eb85fe440 | 69ff402d57d7d9605430aeeef30383ca83e7bfb1 | /neurone_with_lib/exo2.py | 3e54e90e797fec628d750fc40d80f75f55aab18a | [
"Apache-2.0"
] | permissive | yann-nshare/AI_project | 5ee29f13b0472b8abb179e27338623c6c0d11e44 | b3af8fa0bb0bd561c730f871dfdb3b8165f546de | refs/heads/master | 2021-01-09T03:43:49.637587 | 2020-02-21T22:04:38 | 2020-02-21T22:04:38 | 242,234,776 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,237 | py | # import standard PyTorch modules
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.utils.tensorboard import SummaryWriter # TensorBoard support
import torchvision
import torchvision.transforms as transforms
from torch.autogra import Variable
from torch.utils.data... | [
"yann.nshare@epitech.eu"
] | yann.nshare@epitech.eu |
56337b1337e5899c09e974e19288f2cdc899dc73 | eb94bccbcc8d2244843dde59d201850870ef29ca | /datahub_lib/swagger_client/models/role_assignment_request.py | d57b16e3d72f647de2aff3f2b4762c479931ea5c | [] | no_license | sunasing/noaa_docker | d7e2000d1cfc91123d74f0c95f8efe2c7eda8c12 | 7d9e05686463a6cd8d39313af9496a06bdf00367 | refs/heads/master | 2020-12-27T14:44:18.967963 | 2020-02-03T06:50:52 | 2020-02-03T06:50:52 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 11,051 | py | # coding: utf-8
"""
Azure FarmBeats API
<p> <p>Azure FarmBeats helps you build digital agricultural solutions in Azure. By providing a standardized schema to query agricultural data from various sources, Azure FarmBeats provides you: <ul > <li style=\"margin: 7px;\">Ability to acquire, aggregate, process ... | [
"abmallic@microsoft.com"
] | abmallic@microsoft.com |
677a797647835a828b4b94df32fc98c68f9440dc | f1c19ef6da5367209045cb4f39727251f7ebdf15 | /constants/card.py | 4863843ae4309e89dfd52c0bd21163357bf41e2a | [] | no_license | mw4n6/autobots_go_fish | 3b7a73763042ab3fba46e6458d88e87182ecb33d | 75e3b30882f9411c8c9e986553f8c005101caed0 | refs/heads/master | 2022-12-15T15:42:36.374044 | 2020-09-12T00:17:30 | 2020-09-12T00:17:30 | 292,422,860 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 148 | py | SUITS = [
'Clubs',
'Spades',
'Hearts',
'Diamonds'];
RANKS = [
'A',
'2',
'3',
'4',
'5',
'6',
'7',
'8',
'9',
'10',
'J',
'Q',
'K'
];
| [
"michael.wang08@gmail.com"
] | michael.wang08@gmail.com |
3e5a6e3f8242994e087853773022b3c4f8b1d9b8 | 7d2ae7cd571a0ea99c98e0c10abfbc04c439bccf | /Bank_system/urls.py | 17dd850bd34febcc67f7d9b3c99baaa575d47edb | [] | no_license | dhruvk112/dhruvk112.github.io | 587ca5e9167078532c0cd48298ad9acf114a7d74 | 2d5c401cdba06f5ba39c809e37199a7c98279ce0 | refs/heads/main | 2022-12-25T07:33:45.048943 | 2020-10-10T17:23:47 | 2020-10-10T17:23:47 | 302,153,452 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 908 | py | """Bank_system URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.1/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-b... | [
"dhruvkandpal13@gmail.com"
] | dhruvkandpal13@gmail.com |
0eb8c05f44ce6192a839496e20dd39bbaf464182 | 971e0efcc68b8f7cfb1040c38008426f7bcf9d2e | /tests/artificial/transf_RelativeDifference/trend_Lag1Trend/cycle_5/ar_/test_artificial_1024_RelativeDifference_Lag1Trend_5__100.py | f07285216a3cc7ff2114694287b967c65119eace | [
"BSD-3-Clause",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | antoinecarme/pyaf | a105d172c2e7544f8d580d75f28b751351dd83b6 | b12db77cb3fa9292e774b2b33db8ce732647c35e | refs/heads/master | 2023-09-01T09:30:59.967219 | 2023-07-28T20:15:53 | 2023-07-28T20:15:53 | 70,790,978 | 457 | 77 | BSD-3-Clause | 2023-03-08T21:45:40 | 2016-10-13T09:30:30 | Python | UTF-8 | Python | false | false | 275 | py | import pyaf.Bench.TS_datasets as tsds
import tests.artificial.process_artificial_dataset as art
art.process_dataset(N = 1024 , FREQ = 'D', seed = 0, trendtype = "Lag1Trend", cycle_length = 5, transform = "RelativeDifference", sigma = 0.0, exog_count = 100, ar_order = 0); | [
"antoine.carme@laposte.net"
] | antoine.carme@laposte.net |
4523e952a55597f9698342a2cd3e2d65f8a2c12a | 4b581371a8429b8f9f6f2ee4c6905b624679102d | /fall/18_db-nmcrnch/db_builder.py | fceba6c26cf8dfbdbe36d78e6bdca261837cd73f | [] | no_license | jjshawshaw/SoftDev_Work | 9474ac2c37c4695c17d671e0abfa48b0547b4ae8 | 2d997f44a7688e8b2ae42c093d21904bc9578a91 | refs/heads/master | 2020-07-23T12:12:04.199127 | 2020-04-22T03:50:12 | 2020-04-22T03:50:12 | 207,552,505 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,329 | py | #Justin Shaw
#SoftDev1 pd1
#K17 -- No Trouble
#2019-10-10
import sqlite3 #enable control of an sqlite database
import csv #facilitate CSV I/O
DB_FILE="discobandit.db"
db = sqlite3.connect(DB_FILE) #open if file exists, otherwise create
c = db.cursor() #facilitate db ops
#======================... | [
"jshaw00@stuy.edu"
] | jshaw00@stuy.edu |
cf5db8547d4d1246066b14aa9ec4eeec1d1d642b | ae5268cec244d19a10094a0c1cbe6df64c21978e | /kvadratická rovnica.py | 59a05fc1d93a3c82d92041fc74229ddc6e68fb75 | [] | no_license | Zochova/kvadraticka-rovnica-NikolasCibula | 65def02bbcf5fbb9ee0edb67781131b6eff99eea | fe3b1abd8503d94596e89e3606d853ca41c83b68 | refs/heads/main | 2023-08-23T07:13:23.301418 | 2021-09-28T07:31:36 | 2021-09-28T07:31:36 | 411,171,376 | 0 | 0 | null | 2021-09-28T07:00:50 | 2021-09-28T07:00:45 | null | UTF-8 | Python | false | false | 264 | py | a=int(input('Zadajte číslo pre a='))
b=int(input('Zadajte číslo pre b='))
c=int(input('Zadajte číslo pre c='))
#d=> diskriminant
d=b*b-4*a*c
if 0 > d:
print('Rovnica má 0 riešení')
else:
x1=((-b)+sqrt(d)/(2*a))
x2=((-b)-sqrt(d)/(2*a)) | [
"noreply@github.com"
] | Zochova.noreply@github.com |
24b6342cfd9d6f470842e7b811d8251cdbf6b932 | c85a6d674679780ee510b5c8c3dbcbdecc859f64 | /test/test_alert_config.py | b935b925e2b7e72d3f4f6959ec9d5a61a7aa6c8d | [] | no_license | cbrowet-axway/APIM_sdk | d4f4a124e86a7b2e65d0ef07b54c68e95de68337 | 4f82df67ebe3dd6eae645bab8f86e72c0347ee24 | refs/heads/master | 2020-05-25T13:22:35.802350 | 2020-04-16T09:25:21 | 2020-04-16T09:25:21 | 187,820,389 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 944 | py | # coding: utf-8
"""
API Manager API v1.3
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) # noqa: E501
OpenAPI spec version: 1.3.0
Contact: support@axway.com
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future_... | [
"cbro@semperpax.com"
] | cbro@semperpax.com |
bde0ecd51b6b0fbaa4ff999ec4a52d29de106ae1 | 7a3d8ad6ff5cf0862392a8d62dfba3285891ae62 | /Scrapy/data_scraping/data_scraping/pipelines.py | 036e591ef20e230f4146c05ff767a64557503698 | [
"MIT"
] | permissive | jonatascs/labdata-tcc | de112d9620e013294721ae9267f95e0df35f4bc1 | bb15d988f41ae15754ae4c76bc0c438dc4c7a2f9 | refs/heads/master | 2022-12-14T18:16:14.770493 | 2020-09-21T13:13:54 | 2020-09-21T13:13:54 | 295,526,211 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 294 | py | # -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://docs.scrapy.org/en/latest/topics/item-pipeline.html
class DataScrapingPipeline(object):
def process_item(self, item, spider):
return item
| [
"noreply@github.com"
] | jonatascs.noreply@github.com |
d96ed2ce95e6d3184151b1539a6f3a0eb664c89b | 75d8667735782cd1d0eb4877e52c89da5cd92dde | /nova/api/openstack/compute/floating_ips_bulk.py | 3107887da5317d24b2fbdb3186c0eec49b39a49a | [
"Apache-2.0"
] | permissive | bopopescu/nova-token | ffecfd3ec561936b7d9d7e691bc57383cde05436 | ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2 | refs/heads/master | 2022-11-22T09:53:31.073483 | 2016-05-14T02:47:01 | 2016-05-15T22:02:55 | 282,105,621 | 0 | 0 | Apache-2.0 | 2020-07-24T02:42:19 | 2020-07-24T02:42:18 | null | UTF-8 | Python | false | false | 13,677 | py | begin_unit
comment|'# Copyright 2012 IBM Corp.'
nl|'\n'
comment|'#'
nl|'\n'
comment|'# Licensed under the Apache License, Version 2.0 (the "License"); you may'
nl|'\n'
comment|'# not use this file except in compliance with the License. You may obtain'
nl|'\n'
comment|'# a copy of the License at'
nl|'\n'
commen... | [
"dmg@uvic.ca"
] | dmg@uvic.ca |
0d512e3aeaa270f706df8a5e3db7f4ca01e7a2fa | 64be1c4b09ef228d73a50523674c66cda10e366e | /oop/inheritance_example2.py | 7116a421adb841baf465aa48c330b21166a40be2 | [] | no_license | nkirkpatrick/google-python-crash-course | b18191bd36b687073424ca28d82aad2e7df4f25e | c57f06ffd9759084e823261322b6c0b993a87197 | refs/heads/master | 2022-11-13T20:54:52.522996 | 2020-07-06T00:54:32 | 2020-07-06T00:54:32 | 264,575,266 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 360 | py | class Animal:
sound = ""
def __init__(self, name):
self.name = name
def speak(self):
print("{sound} I'm {name}! {sound}".format(name=self.name, sound=self.sound))
class Piglet(Animal):
sound = "Oink!"
hamlet = Piglet("Hamlet")
hamlet.speak()
class Cow(Animal):
sound = "Mooooo"
mi... | [
"norbertkirkpatrick@macbook-pro.lan"
] | norbertkirkpatrick@macbook-pro.lan |
26a2f122cb7b9221175cb1153bca90f9d6bd1f86 | 363fe3dafdbedbb8346b0c38e58f483fec165d13 | /dataFiles/SinglePulse.py | e517cb460451b3a01a58d744a6dc7e93b9ab6efc | [] | no_license | rossjjennings/REU-pulsar | 53598d23f2f2e2dbfd8025cec8bee53124ec8673 | 4ad8c8fd1cc6e093af18c49eb0ecca9ad1f3ae57 | refs/heads/master | 2023-06-06T21:30:14.369858 | 2021-07-08T00:04:50 | 2021-07-08T00:04:50 | 276,169,029 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 6,422 | py | '''
Michael Lam
Last updated: 12/31/2013
Define interpulse alignment as putting the peak value at len/4. Interpulse will be roughly at 3*len/4
Need to handle what to do if no opw for offpulse noise, etc.
Figure out way to add/average SPs.
'''
from __future__ import division, print_function
from matplotlib.pyplot i... | [
"rossjjennings@gmail.com"
] | rossjjennings@gmail.com |
f12c7e78f6cc76322a20f97f04b8731c60d73ac0 | 5474905a26e356fe2742e62567718173b81b616d | /templates/python.flask/{{cookiecutter.project_safe_name}}/test/test_demo.py | 52e109dcd4a6b06c2716df9480549aeac5797cf5 | [
"MIT"
] | permissive | by46/recipe | 16dd24a8a83f2a00beab84c5b6522c0bff073233 | 203abd2141a536b66b4e57d073169a49395be1f0 | refs/heads/master | 2020-04-13T22:41:27.865516 | 2016-09-09T10:09:20 | 2016-09-09T10:09:20 | 65,368,302 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 746 | py | import unittest
import app
from app import create_app
class HelloWorldTestCase(unittest.TestCase):
def setUp(self):
self.client = create_app('test').test_client()
def test_hello_world(self):
response = self.client.get('/{{cookiecutter.project_slug}}', follow_redirects=True)
... | [
"ycs_ctbu_2010@126.com"
] | ycs_ctbu_2010@126.com |
cc2a1c27b48d6d2b129e924104a057d843445b3a | 31de01be3f4bb6b94aff79e098ccb15f7e939597 | /WOL PXE Project/WOL-PXE/WOL-BF/impacket-0.9.12/build/lib/impacket/cdp.py | 5958d6e4471be6e1211a20b36ca2e1d41d7048a4 | [
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0",
"Apache-1.1",
"BSD-2-Clause"
] | permissive | gregesposito/EspoScripts | 0c3e540767a2459bc4b625c00ae3034b6ad8ed27 | 22cb11423d5168367a9aa078cab4dd5c68a858c2 | refs/heads/master | 2021-01-25T08:48:07.949199 | 2015-07-06T17:05:55 | 2015-07-06T17:05:55 | 38,629,342 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 13,594 | py | # Copyright (c) 2003-2012 CORE Security Technologies
#
# This software is provided under under a slightly modified version
# of the Apache Software License. See the accompanying LICENSE file
# for more information.
#
# $Id: cdp.py 529 2012-04-29 21:39:46Z bethus@gmail.com $
#
# Description:
# Cisco Discovery Protoco... | [
"gregesposito@mac.com"
] | gregesposito@mac.com |
4dca51173e60182e6e60683a2886289259f51398 | 4f07d4f41e4692b89a81b88ec0b56cd45dfb3121 | /week 2/day 3/A/A.py | 2c01ab0c2c4ef08938141a37c1d2141f18eb8f37 | [] | no_license | Beisenbek/PP2Summer2020 | 594f1fe8bda7fbdaec1beeb880dad1fb949f469a | 3b9b947601aaee4efb9424c0c6fbf1d6a665cfc1 | refs/heads/master | 2022-11-11T21:06:55.330860 | 2020-07-09T14:12:42 | 2020-07-09T14:12:42 | 271,017,160 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 762 | py | def numberOfDigits(n):
res = 0
while(True):
res = res + 1
n = n // 10
if n == 0: break
return res
def firstDigit(n, k):
x = pow(10, k - 1)
return n // x
n = int(input())
k = numberOfDigits(n)
res = True
leadingZero = False
for i in range(0, k // 2):
a = numberOfDigits(... | [
"bbaisakov@dar.kz"
] | bbaisakov@dar.kz |
0af2519c0df633db3f643a4c658518190f0a2164 | f8e65ae20ca2f7c7f143eaf4e6e6061ddf3b4807 | /leapsec_test.py | e39e4798cfb376329bd1dff5aab5c1b6a94dbeea | [] | no_license | Gerenjie/Centaur-Model | af59e6810b9b8132ecb060f1dffe28bad2b15dc7 | 465d5dab5c9233229e68cf31e861c665c0bd4553 | refs/heads/master | 2020-07-22T10:48:50.467503 | 2019-09-12T00:37:52 | 2019-09-12T00:37:52 | 207,173,259 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 328 | py | from obs80 import leapsec
import novas.compat as novas
def test_leap():
"""example from leap-seconds.list"""
l = leapsec.LeapSeconds()
jd9 = novas.julian_date(1972, 6, 30, 23 + (3599. / 3600))
assert l.getLeapSeconds(jd9) == 10
jd0 = novas.julian_date(1972, 7, 1, 0)
assert l.getLeapSeconds(jd0... | [
"noreply@github.com"
] | Gerenjie.noreply@github.com |
a6d5ec1887858dde34ae03c2bd2f11d3e85e9e80 | 07657cee40a89c8a12fb10bcbeca89ae381aedbb | /apps/experiment/adminx.py | 15bbe23353b9423e9debbe15d3e6e6aab7284f9a | [] | no_license | my-master-yang/xiong | aad07a5d9953e2dc57662678ae0117fa3721b701 | 38e928c8857ae07427d87f5dc854809d68717324 | refs/heads/master | 2018-10-29T23:11:15.312313 | 2018-08-13T01:29:41 | 2018-08-13T01:29:41 | 113,152,387 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 799 | py | # _*_ encoding:utf-8 _*_
__author__ = "kusole"
__date__ = "17-12-7 下午1:39"
import xadmin
from .models import LabCategory, Lab
class LabCategoryAdmin(object):
list_display = ['name', 'desc', 'add_time']
search_fields = ['name', 'desc']
list_filter = ['name', 'desc', 'add_time']
class LabAdmin(object):
... | [
"3079362259@qq.com"
] | 3079362259@qq.com |
192c834c943d4e4dfafb959d91354a48dc2b1af8 | 63df3647761f94d0937f5d14f02b916eb2208eb4 | /blogapp/migrations/0001_initial.py | ddba767d5506a6f31428c05822c1a0eb15d39aaa | [] | no_license | alidabour/DokkanzBlog | 6a05098b5cbdb63381b595c6315e9ab28cba514f | d9220a183a173a117fb1975200bcf011dbbc2999 | refs/heads/master | 2021-05-06T06:23:12.572283 | 2017-12-11T22:28:41 | 2017-12-11T22:28:41 | 113,913,191 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 857 | py | # Generated by Django 2.0 on 2017-12-10 10:54
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),
]
opera... | [
"alidabour0@gmail.com"
] | alidabour0@gmail.com |
9106c5d1a7b95165084dd263e4a7421c8030d12e | e95eeb123f3772da8d2dc7677e7afdc1287f1276 | /bot.py | a1f32743e20491dec9bd1bd4b5ce00cf5bfb409e | [
"MIT"
] | permissive | jayrav13/presidency | 3cf880bf51d211f8fb21d5c4bc564f22c2a8ae4f | f18721d5df9af161cc01f503b6657d9b06fea0e9 | refs/heads/master | 2022-09-29T22:53:40.867506 | 2017-03-03T18:57:04 | 2017-03-03T18:57:04 | 72,818,604 | 15 | 2 | MIT | 2022-09-16T17:46:42 | 2016-11-04T05:56:54 | Python | UTF-8 | Python | false | false | 5,501 | py | """
Imports
"""
from presidency.models import *
from lxml import html
import requests
import json
import datetime
from twython import Twython
import os
import time
import sys
"""
Set UTF-8 for everything.
"""
reload(sys)
sys.setdefaultencoding("utf-8")
# Establish Base URL.
base_url = os.environ.get('WHITE_HOUSE_URL'... | [
"jayrav13@gmail.com"
] | jayrav13@gmail.com |
7c3c653ac29e14cec2d578ecf6c2370af6effa9a | 05e796c29226573944b01c927a5469ccef60d9f8 | /proj/local_settings.py | d8020b7a76f040819500c0ca6f8e78076a8371b7 | [
"MIT"
] | permissive | jbnerd/Anc_Portal | 4cb2065a27d263d1866c523b41da394368d0f085 | 92f3a6c57f76da1bdd0f511a3d8edfb61cfcc4ce | refs/heads/master | 2021-01-21T23:28:42.304389 | 2017-08-05T11:48:12 | 2017-08-05T11:48:12 | 95,243,478 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,060 | py | """
Django settings for proj project.
Generated by 'django-admin startproject' using Django 1.9.2.
For more information on this file, see
https://docs.djangoproject.com/en/1.9/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.9/ref/settings/
"""
import os
# Bu... | [
"abhivjoshi.aj@gmail.com"
] | abhivjoshi.aj@gmail.com |
b1897521c7b612921d88df7a303a832036796e83 | 4bd555bc662b8182a2e7644976bfdb00ed5e1ebe | /PythonistaAppTemplate/PythonistaKit.framework/pylib_ext/scene.py | 14aa3e0938459fe4581caf119b859a026e19008b | [] | no_license | fhelmli/homeNOWG2 | a103df1ef97194dec9501dbda87ec1f7c111fb4a | e794fd87b296544542fd9dc7ac94c981c6312419 | refs/heads/master | 2020-04-04T13:40:20.417769 | 2019-01-30T21:41:04 | 2019-01-30T21:41:04 | 155,970,686 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,230 | py | #import pythonista
#coding: utf-8
from _scene2 import *
import _scene2
from scene_drawing import *
import math
from numbers import Number
from io import BytesIO
import ui
DEFAULT_ORIENTATION = 0
PORTRAIT = 1
LANDSCAPE = 2
BLEND_NORMAL = 0
BLEND_ADD = 1
BLEND_MULTIPLY = 2
from ui import get_screen_size
def run(sc... | [
"tberk@gmx.at"
] | tberk@gmx.at |
8b04b0680c919fab45b483ef6ab1551ab145d51b | 6a983aa7f216cbeec15aefeaa2ef8731771f2e7d | /gcsite/urls.py | 3e3ef4b067d5ffb036f2ca564f8faeda5a83e4ae | [] | no_license | srlee056/gcproject | c970ae0fc645eeeaad10b63ca5e223dc32abe611 | 82ebcdf5fb16b336d2652ba57512b24f775d8ef2 | refs/heads/master | 2022-11-25T06:39:09.708299 | 2020-07-31T23:41:57 | 2020-07-31T23:41:57 | 281,684,913 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 843 | py | """gcsite URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.0/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-based ... | [
"imsolem1226@gmail.com"
] | imsolem1226@gmail.com |
c2c60a9263d26d5897f8406ba267856e1bd4bdf0 | 2410646752e83818dd5d751d653c09232d6fc705 | /rdsexport/functions/rds_export_to_s3.py | 8b026094c19aa494917f5e8a2ed751c5b839220b | [] | no_license | ArchTaqi/IaS-Code | 6ce5b551b154a9eda6c40e79ac31b2e35b8cd50d | dda4271e52510abc1c8c1172ab63ccf4608cc17b | refs/heads/master | 2023-06-02T18:01:28.252518 | 2021-06-16T07:35:59 | 2021-06-16T07:35:59 | 377,379,355 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,345 | py | #!/usr/bin/env python3
"""
This utility helps to copy the monthly aws rds snapshot to the S3 bucket.
This is to maintain the backup of rds snapshot in s3 for DR needs.
"""
import os
import sys
import json
import boto3
import logging
from datetime import date, datetime, timezone, timedelta
from botocore.client ... | [
"taqi.arch@gmail.com"
] | taqi.arch@gmail.com |
7e57a13ccb33e59dd349b8957eb2347ccf682b14 | 8a87d58c47bb3eb19184f7096766ca286cd3e586 | /ff.py | 4fac3277f7eb96d2bb6a3fdca64e040896423a5f | [] | no_license | jesusble/evening | 9d8dc6e1bbfa28e65cc9b8bc584a2cf1f48166a6 | a3c3f1843185e1976397cd5ec97a9395b7ae7148 | refs/heads/master | 2020-06-17T04:51:41.479661 | 2019-07-10T12:46:23 | 2019-07-10T12:46:23 | 195,802,693 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 83 | py | sb=int(input())
for i in range(1,sb+1):
if(sb%i==0):
print(i, end=' ')
| [
"noreply@github.com"
] | jesusble.noreply@github.com |
a2300d6a94ca2cefd91d8d13d10b57d752bcefa4 | 1ade02a8e0c6d7e442c9d9041f15518d22da3923 | /w2/d5/sqlite_db/schema.py | 99c0917574b62199a3263ba8d784e3cfc122ffc9 | [] | no_license | fodisi/ByteAcademy-Bootcamp | 7980b80636a36db6da3e0fc0e529fbc6b8e097e0 | d53e3f4864f6cba1b85e806c29b01c48e3c2e81d | refs/heads/master | 2020-03-19T12:55:31.489638 | 2018-07-25T16:19:19 | 2018-07-25T16:19:19 | 136,550,128 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 458 | py | #!/usr/bin/env python3
import sqlite3
# create a connection to the database
connection = sqlite3.connect("securities_master.db", check_same_thread=False)
# create a cursor object to represent the "gaze" of the database management system
cursor = connection.cursor()
cursor.execute(
"""CREATE TABLE rippleUSD(
pk I... | [
"fodisi@users.noreply.github.com"
] | fodisi@users.noreply.github.com |
3c3091a21cf5d12371f8d133ebbc1bd9dfd495c3 | b4d720c4d9de5f464fe7aa3bd2fb9155dba2f4df | /omni_anomaly/eval_methods.py | c4f95d2bc86f9e9c2b087560dbe3536e51e38ba6 | [] | no_license | real-lhj/CTF_code | 7d367eafd70d40f7e369b8139c578e9ce7f263f2 | 2ccb3a528745e4b42ffb7eea57208a4d0273ec74 | refs/heads/main | 2023-03-19T03:44:30.393132 | 2021-01-12T13:22:25 | 2021-01-12T13:22:25 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,996 | py | # -*- coding: utf-8 -*-
import numpy as np
from omni_anomaly.spot import SPOT
def calc_point2point(predict, actual):
"""
calculate f1 score by predict and actual.
Args:
predict (np.ndarray): the predict label
actual (np.ndarray): np.ndarray
"""
TP = np.sum(predict * actual)
T... | [
"420822631@qq.com"
] | 420822631@qq.com |
f80068e4c813e20b94f963bc6e02662511c57101 | b7204fa9006e8328d06dab9e66229b4a07c0c85a | /Project 1/uninformed.py | 9ae3c66e4f2c42c37cb9bb3e641ec83e6d15d742 | [] | no_license | iamchristoph/AI | ec72c2e998532980e86ebc9d10de287c918ef856 | 5afa7626330a8be28765eff1ba5d553a72a3058d | refs/heads/master | 2020-05-18T18:02:40.742861 | 2015-12-09T19:01:23 | 2015-12-09T19:01:23 | 41,823,281 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 15,546 | py | import time
import sys
from collections import deque
# -------------------------------------------------
# Project by Christopher Terry and Travis Smith
# -------------------------------------------------
# Instructions on use:
# python uninformed.py <optional file name>
#
# If a file name is not provided, the foll... | [
"iamchristoph@yahoo.com"
] | iamchristoph@yahoo.com |
55b708e6c7de4d53c9d8f7c3c0a01fa15e1c2cf9 | cbeb1d7060dbc281c11c6b029a1d156e1ec7ebfd | /yugoslavia/locations.py | 37f896b9e1d335e65c273a0e6078610e6cfad4ce | [] | no_license | paulkirkwood/py.parcoursdb | 28ceceaf4f44e03d9911892a9a916447cd7c7477 | df2745064e4c66dc0c2d522fc0381bf13a8e7859 | refs/heads/master | 2020-09-14T04:58:10.940799 | 2020-02-24T21:04:31 | 2020-02-24T21:04:31 | 223,024,314 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 126 | py | from country import Yugoslavia
from location import Location
def ljubljana():
return Location("Ljubljana", Yugoslavia())
| [
"paul@paulandsue.plus.com"
] | paul@paulandsue.plus.com |
606c6daa39403e1f7813670974620cd5c5c62c6f | 9c8b45b2b2be2e4c7063675965fa25538114e660 | /namseoul/urls.py | 85b13d914746388b20e042876187df50d8b64b07 | [] | no_license | gloweean/namseoul | 1a8f8b85b7ff4213c078b8e3cca409dfadfac5f4 | 9acc0c3c0e12f61d5ad399c32364bff2d11cbcfb | refs/heads/master | 2020-04-07T01:49:23.669077 | 2018-12-22T05:44:37 | 2018-12-22T05:44:37 | 157,953,505 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,509 | py | """namseoul 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-base... | [
"gaius827@gmail.com"
] | gaius827@gmail.com |
ea9f6e7a47afd34b16da8ec54171afda6c3c36d7 | 1a47c5af54e1dc8b71d2dd4267e0883bab81ba1d | /genetic_algo.py | 66e407e50b056b38d0a8fe986e019aea10cc0c2c | [] | no_license | gauravchopracg/genetic_algorithm | 5690d421a151bc5a7351357391d5a74f9df99837 | 3ed6511d968362b8df1ca0f7e1843d262b60a1f7 | refs/heads/master | 2020-06-19T17:33:03.559285 | 2019-07-14T06:55:42 | 2019-07-14T06:55:42 | 196,803,640 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,057 | py | from tpot import TPOTClassifier
from sklearn.model_selection import train_test_split
import pandas as pd
import numpy as np
#load the data
telescope=pd.read_csv('MAGIC Gamma Telescope Data.csv')
#clean the data
telescope_shuffle=telescope.iloc[np.random.permutation(len(telescope))]
tele=telescope_shuffle.reset_index... | [
"gauravchopracg@gmail.com"
] | gauravchopracg@gmail.com |
f19a4bb0dc2e392197331c9ddc9a58eef5dc0f86 | 30043f42552c9d74e9c81d396f7303ea9bb9946b | /src/commands/__init__.py | c2342847b4d20229993a5209974d970e2ef9cbc6 | [
"MIT"
] | permissive | SkylarKelty/pyirc | ad483bb30f6c661529060e539ec75e8318dd2d71 | 7fae4435671d8281e3dcf4c5341ef85a79031ca9 | refs/heads/master | 2021-01-19T06:12:29.720773 | 2014-10-04T10:21:07 | 2014-10-04T10:21:07 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 97 | py | from src.commands import hello
from src.commands import noaction
from src.commands import remind
| [
"skylarkelty@gmail.com"
] | skylarkelty@gmail.com |
9baf993431c633cca33d8c2904b04c63250aa8a1 | 57d958cdd7eda2e0d6f010e0b0e1578217d616cc | /onlineCalcProj/client/generate_token.py | ea72287157237a7e7bcc8af60eadebbd03cb2262 | [] | no_license | mohdhallal/OnlineCalculatorApiDjango | 61ed2388ddab5e2b92e23c774db8cd531ecb4245 | 5480d1373ce3fb437abccc2202e8a053abfacfec | refs/heads/master | 2020-07-06T10:41:26.944777 | 2019-08-16T09:40:05 | 2019-08-16T09:40:05 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 192 | py | import requests
r = requests.post('http://127.0.0.1:7070/api/token/',
data={"username": "user", "password": "megasoft123"})
print(r.text)
print(r.status_code)
print(r.json()) | [
"martin.mamdouh2014@gmail.com"
] | martin.mamdouh2014@gmail.com |
487668fe2ef1bf1b80979377f315ef43e5eef143 | 4fb624627e9a0e198d1658981fd059c18f7df35a | /test.py | a49cc1ae97cd225cc411d471d8fad5b5a8dd6863 | [] | no_license | bemorepower/Event-knowledge-map | be4475278d233d72122fc92cab8b374e2ec5093c | fcdc9f20bd919e1f83774b36ce80aff624f7210c | refs/heads/master | 2023-02-11T03:37:01.730011 | 2021-01-12T06:37:47 | 2021-01-12T06:37:47 | 328,854,602 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,959 | py | # -*- coding: utf-8 -*-
"""
文本中事实三元组抽取
python *.py input.txt output.txt begin_line end_line
"""
# Set your own model path
MODELDIR = "/data/ltp/ltp-models/3.3.0/ltp_data"
import sys
import os
from pyltp import Segmentor, Postagger, Parser, NamedEntityRecognizer
print
"正在加载LTP模型... ..."
segmentor = Segmentor()
segm... | [
"2460712447@qq.com"
] | 2460712447@qq.com |
6bd121269c85094184fe489d0e9a2a61f4760cff | d7ec4aad024745725efb9587c7f9f56020311ee5 | /env/bin/jupyter-migrate | e320c1cb9573b4fc31a7ea685fd7ce3a96569a1e | [] | no_license | PlumedSerpent/PPE-Object-Detection | e3c382c5a099d76d76f3b36ea21634d8706178ff | 035d105ee10439f441626704a27f2cd14e34242a | refs/heads/master | 2023-03-23T22:32:03.644884 | 2021-03-22T19:38:30 | 2021-03-22T19:38:30 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 257 | #!/home/ec2-user/PPE-Object-Detection/env/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from jupyter_core.migrate import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(main())
| [
"ec2-user@ip-172-31-67-74.ec2.internal"
] | ec2-user@ip-172-31-67-74.ec2.internal | |
169249ed1830a96d7cd1e82c22572fba0f053b0e | 16ca6a7afcd4f62b055d6ba1c9841b59c1b15082 | /configs/atss/baseline/atss_r50_fpn_1x_coco_zsd_sfl.py | 485e3d0bccc2d30d4c52af4cb07c5d36c0b5f029 | [
"Apache-2.0"
] | permissive | mengqiDyangge/HierKD | 787365f22eb4b25cb64bb9e255f7824be06a9541 | 18b2307eb7a98e45b6e6d3d30e2a72e13da86c7b | refs/heads/main | 2023-05-23T09:04:31.348978 | 2022-08-25T14:59:41 | 2022-08-25T14:59:41 | 470,613,658 | 34 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,063 | py | _base_ = [
'../../_base_/models/atss_r50_fpn_zsd.py',
'../../_base_/datasets/coco_zero_shot_detection.py',
'../../_base_/schedules/schedule_1x_zsd.py',
'../../_base_/default_runtime.py'
]
# log
log_config = dict(
interval=50,
hooks=[
dict(type='TextLoggerHook'),
dict(type='Tens... | [
"flouzhaozli@gmail.com"
] | flouzhaozli@gmail.com |
28a57877699840d447b57131eafedbf97d4ffd13 | 9e15ada895e90d033bc3b65c2666065bddd62605 | /08/8.1.repr_test.py | 06248a91f25680a03388cc1f6d0487d858914dcf | [] | no_license | zhyErick/fengkuang_python | b0f0c78273420fd862691799bfd7e4f1b6eadf80 | 6d50ad3b7d4ae05d06379c2dc87d91081964ec6d | refs/heads/master | 2021-02-14T08:23:26.616211 | 2020-05-06T13:08:07 | 2020-05-06T13:08:07 | 244,788,500 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 340 | py | class Apple:
# 实现构造器
def __init__(self, color, weight):
self.color = color
self.weight = weight
# 重写__repr__()方法,用于实现Apple对象的自我描述
def __repr__(self):
return "Apple[color=" + self.color + ", weight=" + str(self.weight) + "]"
a = Apple("红色", 5.68)
print(a) | [
"xingzhishangyang@163.com"
] | xingzhishangyang@163.com |
a5148d91637002d9a241730d570829467d4d050f | cbb3e1df6e3abdd7ac66087aff8b74e43dae278d | /cgi_scripts/play.py | ce5630e1896c66bf2c7bf0cccf172721b91130b4 | [] | no_license | ElasticBottle/primer_checker | 695d2c24fb8bcb2c59c7f2568c7149305f4b480b | 8b225b5f404b01a78fdb1b5a62d7bd41ba3fea86 | refs/heads/master | 2023-04-11T20:49:39.924106 | 2021-04-17T03:29:43 | 2021-04-17T03:29:43 | 293,309,689 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,125 | py | import json
import pandas as pd
base = "D:/Datasets/GISAID_Update_Analysis/blast/"
result = "C:/Users/Winston/Documents/Code/intern_and_work/Astar/primer_checker/cgi_scripts/output"
data = {}
with open(f"{result}/test.csv") as f:
data["US-CDC-2"] = pd.read_csv(
f,
dtype={
"virus_name"... | [
"winstonyeo99@yahoo.com"
] | winstonyeo99@yahoo.com |
30d563f13f6423cd18ccd165a856cab9a1290c3a | 95e2375d75ffab2a524a8f4c7dd689b5b54569ed | /2018/TreeNode/104. Maximum Depth of Binary Tree.py | 9377453eb22809cac4e8fd9f850963a2e3070fdb | [] | no_license | wufans/EverydayAlgorithms | c0bd561e6bd1aaa930bdf698e50d06e337e9dcf1 | e85277c83b904db365d828e51d89b7398e399a8a | refs/heads/master | 2020-03-23T03:04:35.827120 | 2019-08-08T03:17:17 | 2019-08-08T03:17:17 | 141,008,260 | 4 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,476 | py | # -*- coding: utf-8 -*-
"""
Created on Thu Aug 30 10:56:44 2018
@author: wufan
# =============================================================================
# Given a binary tree, find its maximum depth.
#
# The maximum depth is the number of nodes along the longest path from the root node down to the farthest leaf... | [
"noreply@github.com"
] | wufans.noreply@github.com |
387f78efedf54707074b3d54e433ca863301716b | 9c9701f79c8eeaa05f684442d2d03f7de4bba1f1 | /Korpora/korpus_namuwiki.py | 2e75dd8d2a48c3a78b50a187af42870c394678d6 | [
"CC-BY-4.0"
] | permissive | hank110/Korpora | e54708fe2d7910df4e6ec5cff1cf1ca0696636bf | b0e014f5c8c4ba71aba335285d0be48cbb802a0d | refs/heads/master | 2023-01-10T04:24:14.386097 | 2020-09-21T03:42:25 | 2020-09-21T03:42:25 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,007 | py | import os
from .korpora import Korpus, SentencePairKorpusData
from .utils import fetch, default_korpora_path, load_wikitext
NAMUWIKI_FETCH_INFORMATION = [
{
'url': 'https://github.com/lovit/namuwikitext/releases/download/v0.1/namuwikitext_20200302.v0.1.train.zip',
'destination': 'namuwikitext/namu... | [
"soy.lovit@gmail.com"
] | soy.lovit@gmail.com |
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