blob_id stringlengths 40 40 | directory_id stringlengths 40 40 | path stringlengths 2 283 | content_id stringlengths 40 40 | detected_licenses listlengths 0 91 | license_type stringclasses 2
values | repo_name stringlengths 3 135 | snapshot_id stringlengths 40 40 | revision_id stringlengths 40 40 | branch_name stringlengths 4 68 | visit_date timestamp[ns]date 2015-07-25 20:53:29 2023-09-06 10:46:05 | revision_date timestamp[ns]date 1970-01-01 00:00:00 2037-05-03 13:00:00 | committer_date timestamp[ns]date 1970-01-01 00:00:00 2036-02-09 17:40:36 | github_id int64 1.61k 691M ⌀ | star_events_count int64 0 209k | fork_events_count int64 0 110k | gha_license_id stringclasses 24
values | gha_event_created_at timestamp[ns]date 2012-06-03 10:21:33 2023-09-14 21:59:50 ⌀ | gha_created_at timestamp[ns]date 2008-03-27 23:40:48 2023-09-13 22:40:33 ⌀ | gha_language stringclasses 250
values | src_encoding stringclasses 27
values | language stringclasses 1
value | is_vendor bool 2
classes | is_generated bool 2
classes | length_bytes int64 6 10M | extension stringclasses 289
values | filename stringlengths 1 218 | content stringlengths 6 10M |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ff45b6f53902d20fbeeaf3f3e558a3c2dcafb197 | 9073a4f05b830450637d9380813d825fa997fd88 | /wqxlib-python/wqxlib/wqx_v3_0/SimpleContent.py | f3a37dd879f391b7d26f1bc2ec271b4836944448 | [
"MIT"
] | permissive | FlippingBinary/wqxlib | 27363510acc0ed27c3d1a28c8958f08615079e67 | 77cb9d98fca8872dedc7dfc93c7ada2a5193a8e9 | refs/heads/main | 2023-03-22T08:12:07.545859 | 2021-03-17T17:19:12 | 2021-03-17T17:19:12 | 314,700,826 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 31,929 | py | SimpleContent.py | from datetime import date, time
from decimal import Decimal
from typing import Union
# TODO: Add docstrings from XSD annotations.
class ActivityConductingOrganizationText(str):
"""A name of the Organization conducting an activity."""
def __init__(self, o=''):
if len(o) > 120:
raise ValueError("ActivityC... |
c8f764a0f8f59b22ea1a311e56a438fead67ba6d | 177cf14cd67fd3f2da42fbf367a0e25d61f358b8 | /Desktop/arcru_morse/MainProject/Crawler/crawlProcess.py | 99b55fcc0eb1647475ff3d9e542b7b713c80576f | [] | no_license | asiurob/opticaym | 8666365af6b2585831d26b7581fe45aae4927846 | 5200c0a04cfb4e4c79d03a09b9db34ff11f4259b | refs/heads/master | 2020-03-27T09:11:55.377658 | 2018-08-29T17:45:10 | 2018-08-29T17:45:10 | 146,321,353 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 556 | py | crawlProcess.py | import scrapy
from twisted.internet import reactor
from scrapy.crawler import CrawlerRunner
from scrapy.utils.log import configure_logging
class Spider( scrapy.Spider ):
name="project"
links = []
start_urls = links
def __init__( self, l ):
self.links.append( l )
def parse( self, response ):
for item in res... |
2d31ad6eb8d0b0f79e8539fa14a1000609aa508c | cc971f6eac34a8c21fa4d4d65ef719d2eefe9247 | /dataset.py | 947d13414dfff682f4c15a59ff1fb8e401c9b1af | [] | no_license | yukii355/optical-GAN | ee2128563a6beb90284f38d6e3d893bf92e0cf7c | 9283fe9804efe4d9bcca6f3c310db79aba854599 | refs/heads/master | 2020-08-06T01:07:06.772216 | 2019-11-28T09:53:30 | 2019-11-28T09:53:30 | 212,779,837 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,742 | py | dataset.py | import torch
import torch.functional as F
import torch.nn as nn
import torch.nn.parallel
import torch.backends.cudnn as cudnn
import torch.optim as optim
import torch.utils.data
import torchvision.datasets as dset
import torchvision.transforms as transforms
import torchvision.utils as vutils
from torch.autograd import ... |
db8a70999c5a71812383e36a8620b6b85ec76633 | 050dc595e3cb7ad3edd22642c65cdb701e8e30fd | /moskino/moskino/catalog/migrations/0002_auto_20200414_1726.py | 00b418273d0d6907d1173035680a3aa4f8af609c | [] | no_license | Yaashara/for_work | 4ef43d8cf19c94e237629521a37b61caff196792 | 14f7e108274f4958f68cb6fc7a5fcd07ffd64750 | refs/heads/master | 2022-07-03T12:54:50.629346 | 2020-05-14T11:19:30 | 2020-05-14T11:19:30 | 263,929,169 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,856 | py | 0002_auto_20200414_1726.py | # Generated by Django 3.0.5 on 2020-04-14 14:26
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('catalog', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='mk_event',
fields=[
('name... |
c33017f495f94cb09e5c5e908103d6bb8f4fdf47 | ed13bccaa69a93c66f2f8229053359411e403036 | /src/main/java/puzzles/easy/horse/Solution.py | 6463166728c975e953379cf2af27f52e1c7e7ce4 | [
"MIT"
] | permissive | vafin-mk/codingame | ec8b3861de872582971ec88a27b3ae9407d9c3a4 | 18da2175dd043a2a2ba0f4ac60c0edd93225d3fa | refs/heads/master | 2021-07-09T01:23:30.179091 | 2018-05-26T18:51:12 | 2018-05-26T18:51:12 | 96,515,154 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 366 | py | Solution.py | import sys
import math
# Auto-generated code below aims at helping you parse
# the standard input according to the problem statement.
n = int(input())
arr = []
for i in range(n):
arr.append(int(input()))
arr.sort()
minn=100000
for i, val in enumerate(arr):
if(i==0):
continue
diff=val-arr[i-1]
... |
77c7ffeb85d47b1c6007cb4a733719d9b36dfceb | ac1bda48e351ebac39fa7f0a87249092bc3c07a5 | /dirty_python/nltk/sentdex/6.classifier.py | 4b5cbde44bc707b3b6299edd87a696a7314816ac | [] | no_license | smoothpie/data-experiments | 2a8805fc67feb4b3ff3efb6e16cd3203ab96988f | fce600fb844e15075875d30bc7a7456b888f7a58 | refs/heads/master | 2020-04-22T04:27:12.064873 | 2019-02-11T12:37:06 | 2019-02-11T12:37:06 | 170,124,159 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,152 | py | 6.classifier.py | #%%
import nltk
import random
from nltk.corpus import movie_reviews
from nltk.classify.scikitlearn import SklearnClassifier
from nltk.classify import ClassifierI
from statistics import mode
import pickle
import sklearn
from sklearn.naive_bayes import MultinomialNB, GaussianNB, BernoulliNB
from sklearn.linear_model im... |
3ef794be4bc3439690caf612b57755f22283057c | 974256601fc9c4b484dcb8cd0b9dfc6d0212bacf | /static/__init__.py | eee2445aa0a5d464131a09bc66eaf5e8644beb18 | [] | no_license | zhguokai/mircostone | 0e3e7c380cbaff971a3dd0696b616a1997675812 | acb3d50c5e6785c4faf24387da0b48446554e462 | refs/heads/master | 2020-06-04T03:44:06.081395 | 2015-01-14T15:59:01 | 2015-01-14T15:59:01 | 28,231,848 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 147 | py | __init__.py | # -*- coding: utf-8 -*-
"""
"""
import os
# 当前文件路径
static_path = os.path.join(os.path.dirname(__file__))
# 作者
__author__ = 'zhgk'
|
c58212ea780586db9e839e2c84568a2b24d1967e | bf45bde210cf21a1f384141ffecffb9d9f80b357 | /forms.py | 57cb593ada74a044a2e6566c991da932fd1c258a | [] | no_license | lukeaelder/flask-feedback-24.5 | c0adfab7e5114862c353bf4a5fc0515493fa7082 | 06ffd7c3bf428f9f943fc100ec227daffe39e947 | refs/heads/main | 2023-01-09T23:14:44.383912 | 2020-11-21T22:33:53 | 2020-11-21T22:33:53 | 314,915,768 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,802 | py | forms.py | from flask_wtf import FlaskForm
from wtforms import StringField, PasswordField, TextAreaField
from wtforms.validators import InputRequired, Email, Length
class RegisterForm(FlaskForm):
"""Form for registering a user."""
username = StringField("Username",
validators=[InputRequired(message="Username can... |
777d2d7ca64a505a772b23d23e02ce82081436a7 | 57253618761f65ef5137f0eafe8ae9b45731e449 | /queuey/statuses/admin.py | eaa29e5868e973cf0dbacdcf80a6127d142dbf31 | [] | no_license | kchiv/queuey_v2 | d24054efaa393fe80261733eb96965b02f7ff342 | b1a455d1eec326049a0f8694f434890b690975ce | refs/heads/master | 2022-11-26T05:39:41.015388 | 2020-08-07T04:38:44 | 2020-08-07T04:38:44 | 273,980,242 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 159 | py | admin.py | from django.contrib import admin
from .models import Status, Priority
# Register your models here.
admin.site.register(Status)
admin.site.register(Priority)
|
a9dee4537c91ea6c24d2a9dbcf3b23f4f0ccf4f6 | 565f11312f4da59594f75e941beb3c07dc5f3b52 | /lstm2.py | f83977b6f7cd701b630b8d882dcbbbd6191ccf12 | [] | no_license | gomikasuchan/kenkyu | 8da46cbdd18bf95b7021565ffcb9dbcb92d903cc | 84d1d54cee5a92ae29986e3459359512e3ba348a | refs/heads/master | 2023-02-01T10:58:01.947171 | 2020-12-17T09:36:03 | 2020-12-17T09:36:03 | 319,558,107 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,725 | py | lstm2.py | import pandas as pd
import numpy as np
from keras.models import Sequential
from keras.layers import Dense, Activation, LSTM, Dropout
from keras.optimizers import RMSprop
df = pd.read_csv('D:/20180615_立石.csv')
L = len(df)
tag = df.iloc[:, [3,4]] #発話意図タグの列のみ抽出py
tag = tag.dropna() #欠損値を削除
tag_com = tag[... |
609458cb53cdc5b1085c84bff0c33db624783354 | 2337351b228818e41be3002bd38f68f77c2aa074 | /sa/profiles/Nateks/FlexGain/profile.py | 8f0a3810cdc71e3390e5ab6a4a3c64f2f8c0a8ee | [
"BSD-3-Clause"
] | permissive | nocproject/noc | 57d40c680a1499374463e472434f9595ed6d1374 | 6e6d71574e9b9d822bec572cc629a0ea73604a59 | refs/heads/master | 2023-08-31T01:11:33.544573 | 2023-08-30T17:31:11 | 2023-08-30T17:31:11 | 107,815,776 | 105 | 33 | BSD-3-Clause | 2023-07-31T07:57:45 | 2017-10-21T21:04:33 | Python | UTF-8 | Python | false | false | 1,178 | py | profile.py | # ---------------------------------------------------------------------
# Vendor: Nateks
# OS: FlexGain
# ---------------------------------------------------------------------
# Copyright (C) 2007-2016 The NOC Project
# See LICENSE for details
# ---------------------------------------------------------------------
... |
5f5e7ce3491b863d7622378d1edbfaedbcb4b809 | 5dc77586e3e0f9de1f032fd2ca68494d8e58928f | /great_expectations/expectations/metrics/table_metrics/table_row_count.py | ed2675b562329ccd020ad1a70e74534b3256aba4 | [
"Apache-2.0"
] | permissive | great-expectations/great_expectations | dd7c22e6277d6b08bee3ff38a015e6e8cd434df6 | b0290e2fd2aa05aec6d7d8871b91cb4478e9501d | refs/heads/develop | 2023-09-04T09:30:26.395518 | 2023-09-02T00:00:13 | 2023-09-02T00:00:13 | 103,071,520 | 8,931 | 1,535 | Apache-2.0 | 2023-09-14T19:57:16 | 2017-09-11T00:18:46 | Python | UTF-8 | Python | false | false | 2,209 | py | table_row_count.py | from typing import Any, Dict
from great_expectations.compatibility.pyspark import functions as F
from great_expectations.compatibility.sqlalchemy import sqlalchemy as sa
from great_expectations.core.metric_domain_types import MetricDomainTypes
from great_expectations.core.metric_function_types import MetricPartialFunc... |
ddfb8c21bb0a9d0c3ff3c49b7fd4f1d679f419ab | a4a5819d8c057b59dfd9113271610fc6dc14e4ee | /lc/curve.py | 9ca2476595a091dd8f2e028e8ce71666cda96e20 | [
"Apache-2.0"
] | permissive | allenai/learning-curve | 8da109914e8ff57a67a504c7e169baaee40d6919 | 6a56f9ea6adb398b342fe188e40cf53484e82c59 | refs/heads/main | 2023-05-02T16:00:21.548953 | 2021-05-28T00:58:58 | 2021-05-28T00:58:58 | 354,645,980 | 8 | 1 | Apache-2.0 | 2021-05-28T00:58:58 | 2021-04-04T21:01:51 | Jupyter Notebook | UTF-8 | Python | false | false | 6,259 | py | curve.py | import math
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
from .variance import ErrorMeanVarianceEstimator
class LearningCurve():
def __init__(self,param,covariance,gamma):
self.param = param
self.covariance = covariance
self.gamma = gamma
@property
def alp... |
dc00fae4bde03ca3f1e1f5cd83a25ab320b47b8a | b3afb1e06d2d25c3581026bfcbb8dd72d5f731fe | /playai.py | cedccd3b16c7d3e3066ae9815d3c9c33dc7b149a | [
"MIT"
] | permissive | roma1n/NEAT-racing | 2ed4bb1d2b4c0936f76c8b88a9343e053c17a2aa | 6ab1b38f1afe51f4ac97b3d3e5c0223c4ae5f245 | refs/heads/master | 2022-12-11T10:18:17.655913 | 2020-09-01T09:13:16 | 2020-09-01T09:13:16 | 277,368,283 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 169 | py | playai.py | import sys
from aidriver import run_ai, run_best_ai
if __name__ == '__main__':
if len(sys.argv) == 1:
run_best_ai()
else:
run_ai(sys.argv[1:])
|
5510ee984f752a440cb82d8d8d525c79b0e97026 | 72f9c5c099fe07073a4a619c2d843a44aa69343e | /state-of-the-art algorithm/MUSIC_ESPRIT_Range.py | d18b6aed77a9af1dc234df49790e913d004fe9ee | [] | no_license | fixernhc/radar_mti | 4d1fb80193bb316a7822df6557900ca2fb040610 | 4213025d0305f453d1ff1dee3c5ff2fa77636077 | refs/heads/master | 2023-05-24T19:19:45.150242 | 2021-06-11T20:13:36 | 2021-06-11T20:13:36 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,767 | py | MUSIC_ESPRIT_Range.py | import numpy as np
import matplotlib.pyplot as plt
import scipy.linalg as LA
N = 1000
M = 100
s = 2
f1 = 1.000e9
f2 = 1.020e9
fs = 4*f1
signal = []
f=[]
f_inc=fs/(N)
def steering_vector(f_inc, N, M, fs):
steering = []
for k in range(M):
s_vector = []
for i in range(N):
w = 2*np.pi... |
aed19318cc0c88bcb26841b780de93fa6c091b5c | d6f6c1098ee40180dfae70bbc38ac8695a3a35f1 | /Pipe.py | 40fe87425f7a06dc3659d21837efcd9ca64fff4a | [] | no_license | nsolomon7-zz/Flappy-Bird-Reinforcement-Learning | 3f77eb436e7d2fa476b7387b5e563bd5b5f884cd | 4929b24e348b8931d172331c7599eef1679b39b5 | refs/heads/master | 2022-05-07T22:58:15.737273 | 2019-04-22T18:29:29 | 2019-04-22T18:29:29 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,598 | py | Pipe.py | import pygame
class Pipe(pygame.sprite.Sprite):
pipe_width = 128
def __init__(self, center, height, width):
pygame.sprite.Sprite.__init__(self)
self.center = center
self.gap = 150
self.scored = False
ubody_height = self.center - round(self.gap/2) - 32
lbody_h... |
f904f269294ed79ec06b7897220b0ac9ef025f33 | 8a12637442a61a145599c1986a0c55bc71c4ed9f | /quiz/api.py | c6071e44f6f13faac400f2bb9ad8a9a14f2ce6a0 | [] | no_license | gmohre/quiz-demo | 8a94ac9402bffacfea7a7f35c7b7dc475d49147a | 7b11d8140bb8609beb2bffd369205efa14731360 | refs/heads/master | 2020-04-04T00:08:22.988959 | 2018-11-01T00:44:00 | 2018-11-01T00:44:00 | 155,641,297 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,099 | py | api.py | import json
from flask import Blueprint, jsonify, request
from hashlib import md5
from quiz.models import db, Test, Assessment, Question, Answer, Response
api = Blueprint('api', __name__)
@api.route('/test/<int:test_id>/', methods=('GET',))
def get_test(test_id):
test = Test.query.get(test_id)
return jsonify... |
9c34cbc489a86c045c1832cd0b8ab52380dad6e3 | ba87ad669cec6b0a3fd3a4e321f9a21bf7760a08 | /cxcalc/plugins/__init__.py | 2ff618312dc53d1b5f4f0a887ee93c9e3adddbe7 | [] | no_license | flc/cxcalc-py | 3da0d6ecc16e46f2dee132d0fedaf77fb634f9d0 | 7e0d50d5a85d749baf1e9f2ffc3fd55d9b1746f4 | refs/heads/master | 2022-11-22T20:25:29.450365 | 2020-07-27T13:56:50 | 2020-07-27T13:56:50 | 269,934,100 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 245 | py | __init__.py | from .base import *
from .partitioning import *
from .protonation import *
from .name import *
from .elemental_analysis import *
from .charge import *
from .geometry import *
from .isomers import *
from .other import *
from .conformers import *
|
1b99b74ae555fb024db72a46f74e844e36c30cbd | f85b62a436490ae32afb995cf1238734e94d4842 | /pokedex.py | 20e169141c4daffa2f7bc8793bfc2be1be3952b8 | [
"MIT"
] | permissive | AlanMorel/pokedex | 34d35ce4b2e6a23c90d324ebc21823d0c25453f1 | 9fd879a817cdffda081d6a5209768be3f5653e79 | refs/heads/master | 2022-10-25T02:40:24.840413 | 2022-09-28T15:49:29 | 2022-09-28T15:49:29 | 56,246,908 | 3 | 2 | null | null | null | null | UTF-8 | Python | false | false | 2,983 | py | pokedex.py | import os
from random import randint
from dotenv import load_dotenv
from flask import Flask, redirect, render_template, request, url_for
from data import load_pokemon
load_dotenv()
app = Flask(__name__)
name_cache = []
@app.route('/')
def index_page():
return render_template('index.html')
@app.route('/poke... |
8e3116a1dcd1aceb606fa9b140811029cbdaf129 | 717171ed7a14ad60dd42d62fe0dd217a0c0c50fd | /19年7月/7.26/临近终点.py | a4034439701c3be47e683089a95dbee2e21a245e | [] | no_license | friedlich/python | 6e9513193227e4e9ee3e30429f173b55b9cdb85d | 1654ef4f616fe7cb9fffe79d1e6e7d7721c861ac | refs/heads/master | 2020-09-04T14:34:48.237404 | 2019-11-18T14:54:44 | 2019-11-18T14:54:44 | 219,756,451 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 383 | py | 临近终点.py | import numpy as np
Y = np.array([[1,0,1,0,1,0,0,1,0,1,0,1,0,1,1,1,1,1,1,1,1,1,0,0,1,1,1]])
print(Y)
print(Y.shape)
Y_p = np.array([[1,0,1,0,1,0,0,1,0,0,1,0,1,0,1,0,1,0,1,0,1,0,1,0,1,1,1]])
print(Y_p)
print(Y_p.shape)
print(np.abs(Y_p-Y))
print(np.mean(np.abs(Y_p-Y)))
print((100-np.mean(np.abs(Y_p-Y))*100))
print('预测的准确... |
08d8ba688f92d2bb8cc222f7ed3909e4ba74cfcf | d2d2df31609124b18df33bdce72964228ef9f7ce | /opts.py | 07faaa806849ec9a8abcbb0951dec8d17a12e692 | [] | no_license | Alexyuda/action-recognition-video-audio | 653f041e7939bbcb26abbbf5234e16d566fcc2c8 | 2ba45ac61b837f33452d83f3e3740d537f8da78a | refs/heads/master | 2022-04-04T14:33:43.486191 | 2020-02-25T14:06:04 | 2020-02-25T14:06:04 | 235,169,771 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,294 | py | opts.py | import argparse
parser = argparse.ArgumentParser()
# ================================ Dirs ================================
#!!!all dirs are relative to root_dir!!!
parser.add_argument('--root_dir', default=r'D:\TAU\action_recognition', type=str)
parser.add_argument('--checkpnts_dir', default=r'checkpnts', type=str)
... |
06216493e63bab9bf85ad42672cf172cb4fbea87 | fa415ed83069c5f5b69e35cdf7dc7f10c3a313fe | /Campus_Placement_Management_System-master/campus/migrations/0008_auto_20210318_1213.py | ba1ee168fec4b4f45c3f281316d1f381b3d66e9f | [] | no_license | h-y-developers/c_p_m_system | 281e9259b0c7a8d0d8c28cf9570a200e4621a44d | 13d331b31cf26d89d095901e1e746c63ae160bde | refs/heads/master | 2023-03-16T22:20:00.178698 | 2021-03-18T09:23:08 | 2021-03-18T09:23:08 | 347,987,136 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 446 | py | 0008_auto_20210318_1213.py | # Generated by Django 2.2.6 on 2021-03-18 06:43
import datetime
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('campus', '0007_auto_20210318_1208'),
]
operations = [
migrations.AlterField(
model_name='faculties',
... |
a7fe5e03e737c675e2b6bc6dacebcd3871a6dcdc | 75d9bae2c0102d489b703ab7ad2bd4058f4468be | /binaryconvert.py | d362506e3a5006f4aba70b7f510a5d4861b807f3 | [] | no_license | icebowl/python | 19f90b970a5a1f7ec08c7bae5c1e82b271ec65fd | 6b1a57c224981516c8d490503bd536586c42403a | refs/heads/master | 2021-07-26T00:56:24.679771 | 2021-06-22T11:57:48 | 2021-06-22T11:57:48 | 100,441,849 | 2 | 3 | null | null | null | null | UTF-8 | Python | false | false | 485 | py | binaryconvert.py | def bincon (decimal):
print("BASE 10 DECIMAL: ",decimal)
bin_str =""
for i in range(8):
binary = str(decimal % 2);
print (binary," ")
decimal = decimal // 2;
bin_str = str(bin_str) + binary;
print(bin_str)
#bin_str = "".join(reversed(bin_str))
print(bin_str[::-1] )
print()
def main():
print ("Type a v... |
61b44be327eaa7639eaaa4622c4f95462aa2dc1c | 924631c18178c7871a36388e0276f3f4fafd31ec | /tests/fixtures/test_fixtures.py | 851ce086e382639e8fd5c5482bc686d914fd6dba | [
"MIT"
] | permissive | lamarmeigs/adventure | e44dccdaddeb7c47c62b5c9ad6a69267117dcbdb | 570ca211911b86ef62c1258a2d040c3fd95fb786 | refs/heads/master | 2020-04-02T03:26:46.334059 | 2017-02-26T02:39:03 | 2017-02-26T02:39:03 | 61,458,560 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 992 | py | test_fixtures.py | import json
import os
from unittest import TestCase
from adventure.fixtures import load_fixture
class DummyModel:
def __init__(self, foo, bar):
self.foo = foo
self.bar = bar
class LoadFixtureTestCase(TestCase):
@classmethod
def setUpClass(cls):
cls.file_path = 'test_fixture.json... |
c6f9b44870fa884cdc1d9becd51bb6b3e8a28fe8 | 97872756aef5046d337c88e6a1c04b262f47b457 | /app/models.py | 8e32db0aa16b3990968aca838700507f97bf9668 | [] | no_license | jregchiu/ubcscheduler | e031dfb42c9fac589c9192a26ac83507706497f8 | 0ee0a5f18a4d6db362828e9f709d5daa7d22ba8a | refs/heads/master | 2020-03-10T15:05:19.145725 | 2018-07-09T16:27:15 | 2018-07-09T16:27:15 | 129,441,283 | 1 | 1 | null | 2018-07-09T16:05:20 | 2018-04-13T18:46:30 | Python | UTF-8 | Python | false | false | 1,217 | py | models.py | from app import db
from sqlalchemy.dialects import postgresql as pg
class Course(db.Model):
__tablename__ = 'courses'
id = db.Column(db.Integer, primary_key=True)
code = db.Column(db.Text, index=True, unique=True, nullable=False)
activities = db.Column(pg.ARRAY(db.Text), nullable=False)
sections =... |
66fa87dd4627f468825d6d372a123aea71d2cfa1 | 6d500a1f04edbc35252f6db07fcea4a60fad74cf | /API/views.py | 643448086cbd3113a8d8b8e58a1dd513cf88f9fb | [] | no_license | niloy369/risk-management | 0ac04300de9446461cee5e37a9e3af26614bff89 | b65d3cafcdd9bda7079758ea6784db0742c215bc | refs/heads/master | 2022-04-25T23:13:36.708279 | 2020-04-30T03:53:16 | 2020-04-30T03:53:16 | 260,107,072 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,369 | py | views.py | from django.db.models import Count
from django_filters import rest_framework as filters
from rest_framework import exceptions
from rest_framework.generics import ListCreateAPIView, ListAPIView, CreateAPIView, RetrieveAPIView
from rest_framework.response import Response
from .filterset import PassportInfoFilterset, Doc... |
73741a8145f415e24aae58b4c36d00dfc21c14f7 | 2acd59481c55701b1796c1750d8a08cd5a7a0656 | /projnew/proj1/app/migrations/0009_auto_20180730_0949.py | af8bc95a92548537f66a9cbf73df62d8f581f725 | [] | no_license | akashpatil-219/Library_management | 247216b8dfc188e634e4d60439d7f7725a762e40 | dde8057b9500655ac7e3bfa4e83e4b058689fa75 | refs/heads/master | 2020-03-24T17:29:24.380050 | 2018-07-30T11:06:26 | 2018-07-30T11:06:26 | 142,860,700 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 715 | py | 0009_auto_20180730_0949.py | # -*- coding: utf-8 -*-
# Generated by Django 1.11 on 2018-07-30 09:49
from __future__ import unicode_literals
import datetime
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('app', '0008_auto_20180730_0941'),
]
operations = [
migrations... |
5785656b695727c7570bce44f61da41f775125c9 | 009e06a94a9c752e92293d098aac315a2afe3188 | /pre_processing.py | 69dac33534cd4299099f556fd000be9a1fcb8514 | [] | no_license | loureirod/Natural-language-processing | 090b9a36b133fac3ae72c3e17c6d7e4f40e3949c | 277cf35a0f0a5775562754a2a556f2a6a708142a | refs/heads/master | 2021-04-15T14:09:15.515824 | 2018-05-03T12:51:25 | 2018-05-03T12:51:25 | 126,377,855 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,085 | py | pre_processing.py | import os,sys
import re
import pandas as pd
import numpy as np
import gensim.models as gm
def split_text(text):
'''Split words and english short forms '''
text = re.sub(r"\'s", " ", text)
text = re.sub(r"\'ve", " have ", text)
text = re.sub(r"n\'t", " not ", text)
text = re.sub(r"\'re", " are ... |
def03a06ad1182a913ed095741662c8c85af34bc | 7cf6288309ba107415e1b3ae13c18936608cd2b5 | /Search/Search.py | 62119867828b1b705481bc5bb058e51e89e10f19 | [
"MIT"
] | permissive | Chase1325/Artificial-Intelligence | 83c3b3b8785e1ae5ae72e12a95ef4232e6c76006 | 1a68a4b61e7eff199cd3aab472c1a3ab311b58ab | refs/heads/master | 2020-04-17T19:50:36.075406 | 2019-04-15T14:46:47 | 2019-04-15T14:46:47 | 166,880,762 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 13,073 | py | Search.py | import argparse
import collections
class Node:
def __init__(self, node, weight=0):
self.node = node
self.adjacent = {}
self.weight = weight
#Add an adjacent node and their weight
def addAdjacent(self, adj, weight=0):
self.adjacent[adj] = weight
#Get the adjacent nodes
... |
dbf88df816241ffd4b4c46105d04c67f9aeb2214 | 309f16247cf6745ef2b3a45e997901dd33c28343 | /app.py | c9fd37f46e71909ad31025911e63dda5676120ed | [] | no_license | Code-Institute-Submissions/MS3_GMResource | 1500cfcee69faf4236c7a2f015d92ae818ab2c19 | 070ad1c0d200355fde7ec6734c0f880ed813da87 | refs/heads/master | 2023-04-17T14:24:53.669380 | 2021-05-04T09:30:49 | 2021-05-04T09:30:49 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 15,365 | py | app.py | import os
from flask import (
Flask, render_template,
redirect, request, session, url_for, flash)
from flask_pymongo import PyMongo
from bson.objectid import ObjectId
from werkzeug.security import generate_password_hash, check_password_hash
from datetime import datetime
if os.path.exists("env.py"):
import e... |
908d9e6ff86bb8f19d272add9df2e58144056087 | df3dae5cd9aac6354a61ba43bfb5b79a421df96b | /cessp2force_lin.py | ce239dc87c623237ce48915627bccd3fe5fb9330 | [] | no_license | tgzhou98/DeepMD-generator | 31235dafcc9ff0b8e8ca292e9bf67da81f7e462e | 3d455f89174804c9e4d68ebc788533b553b0acaa | refs/heads/master | 2020-09-02T16:38:52.563620 | 2019-11-03T06:26:08 | 2019-11-03T06:26:08 | 219,261,086 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 15,267 | py | cessp2force_lin.py | #!/usr/bin/env python3
################################################################
#
# vasp2force:
# convert vasp output data into potfit reference configurations
#
################################################################
#
# Copyright 2014
# Institute for Theoretical and Applied Physics
# ... |
286b4f6dcd1203d3a5e464234ca4d7bbba19e57a | e0a47e1756398ca87fc34573d286aad2ca66b295 | /cookbook/cookbook/schema.py | 53fd75608f4990ba63e1772e69052a39a2bbf057 | [] | no_license | codingj87/graphene_study | 657dd8cfe16cd971c83f3a01bcafed77500b34ed | f2bf645c981e521de9ade49d69609b0ea9efb478 | refs/heads/main | 2023-06-04T05:58:39.756197 | 2021-06-24T09:21:37 | 2021-06-24T09:21:37 | 379,868,056 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 218 | py | schema.py | import graphene
from ingredients.schema import Query as ingredients
class Query(
ingredients,
graphene.ObjectType
):
pass
class Mutation(graphene.ObjectType):
pass
schema = graphene.Schema(query=Query) |
5f6192756e2fbdc694ddf65d7e6a8c575738a32d | 85bc55833b008313de68ec3030fbe12a12071ee6 | /bin/pyl-to-json.py | 374bd8a914d8cee7c820467e5a77573b33a0d687 | [] | no_license | gwk/gloss | 5a6261867c3011cb0b576af353b21f3a0b52c69e | 2d8e62decd294679ad77a8c9270c38178ed8cab0 | refs/heads/main | 2023-07-22T09:59:32.718245 | 2023-07-19T14:28:56 | 2023-07-19T14:58:04 | 1,144,191 | 4 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,071 | py | pyl-to-json.py | #!/usr/bin/env python3
# Dedicated to the public domain under CC0: https://creativecommons.org/publicdomain/zero/1.0/.
import json
import sys
from argparse import ArgumentParser, FileType
from ast import literal_eval
def main() -> None:
parser = ArgumentParser(description="Convert python literal files to JSON.")
... |
d5369cd8d9d280fd8aa18c99d860bc1ab4523392 | ca7aa979e7059467e158830b76673f5b77a0f5a3 | /Python_codes/p03338/s746570381.py | 616624bfd1db4642124e1e70c23158e937988250 | [] | no_license | Aasthaengg/IBMdataset | 7abb6cbcc4fb03ef5ca68ac64ba460c4a64f8901 | f33f1c5c3b16d0ea8d1f5a7d479ad288bb3f48d8 | refs/heads/main | 2023-04-22T10:22:44.763102 | 2021-05-13T17:27:22 | 2021-05-13T17:27:22 | 367,112,348 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 120 | py | s746570381.py | N = int(input())
S = input()
maxA = 0
for i in range(N):
maxA = max(maxA, len(set(S[:i]) & set(S[i:])))
print(maxA)
|
b427c88d18858f683f19087c0ee4dfb34248e9d8 | d5fdece50ddc00f2a5686cd0839716bc0ca55622 | /Program/Imagesplice/img_splice.py | 80ee2860664aa92fcb89d967c73e59291438b117 | [] | no_license | uchihanuo/helloworld | 47611945919c0d82b67f0a0c13107e7793c7b0b2 | bf3103fb69e2ffcc4e5a7201a2f5b5086e3d9b6c | refs/heads/main | 2023-06-20T20:04:33.947053 | 2021-07-23T07:50:39 | 2021-07-23T07:50:39 | 388,643,831 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,746 | py | img_splice.py | #! python3
# -*- coding: utf-8 -*-
import os
import time
import cv2 as cv
import numpy as np
# import logging
# logging.disable(logging.CRITICAL)
# logging.basicConfig(level=logging.DEBUG, format=' %(asctime)s - %(levelname)s - %(message)s')
# logging.debug("Start of program.")
def main():
# to get selected imag... |
5cec327cb1a3f18d9618a524e12fa32865847a47 | 6907db4aaeef545b93b564b2f3b7582201240bdc | /06/Hack_Assembler.py | cbdfccc2eadc6bd3b05bdf2db475f3c4e6439508 | [] | no_license | shreesha00/nand2tetris | e5a1bff580075a7ed3e5cfabdd556e38b202e4ee | 8bbd2fbdde1680b8c76a069012c01d273e75b2e4 | refs/heads/master | 2020-08-02T13:22:13.069218 | 2019-11-13T19:09:04 | 2019-11-13T19:09:04 | 211,367,444 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,904 | py | Hack_Assembler.py | #Assembler for the Hack Computer and Jack programming language
#Author : Shreesha G Bhat
# CS18B103
# CSE Department
# Indian Institute of Technology, Madras
#Part of CS2300 course based on the Nand2Tetris course
import sys
filename = sys.argv[1]
symbol_table = {}
for i in range(16):
symbol_... |
26daa2de3179c2dd52443680039848ae22cf7963 | 333364108cdd0479fac6ec18ea8d348941165df3 | /approaches/jdeodorant/detection_feature_envy.py | 3ab0c2b6a76f75f173cc85879d94747e708dbd78 | [
"MIT"
] | permissive | antoineBarbez/SMAD | d464b09824e330a53b537db070f4cf74a92046f5 | 1bee38dccc69fd8bdd550ef97441859af6afcaf8 | refs/heads/master | 2023-04-09T05:12:02.593231 | 2021-02-16T22:28:54 | 2021-02-16T22:28:54 | 152,662,620 | 7 | 3 | MIT | 2023-03-24T23:39:54 | 2018-10-11T22:20:23 | Python | UTF-8 | Python | false | false | 1,030 | py | detection_feature_envy.py | from context import ROOT_DIR
import utils.data_utils as data_utils
import utils.detection_utils as detection_utils
import utils.java_utils as java_utils
import os
# Returns the set of detected occurrences
def detect(systemName):
JDFEFile = os.path.join(ROOT_DIR, 'approaches', 'jdeodorant', 'metric_files', 'feature_... |
b0ce4f4531603ffb45d629f8544fbdbf5af67667 | e3365bc8fa7da2753c248c2b8a5c5e16aef84d9f | /indices/pancrea.py | a473269e22f692f46c670fed28c88e0ee1330cec | [] | no_license | psdh/WhatsintheVector | e8aabacc054a88b4cb25303548980af9a10c12a8 | a24168d068d9c69dc7a0fd13f606c080ae82e2a6 | refs/heads/master | 2021-01-25T10:34:22.651619 | 2015-09-23T11:54:06 | 2015-09-23T11:54:06 | 42,749,205 | 2 | 3 | null | 2015-09-23T11:54:07 | 2015-09-18T22:06:38 | Python | UTF-8 | Python | false | false | 102 | py | pancrea.py | ii = [('RogePAV2.py', 4), ('ProuWCM.py', 7), ('BuckWGM.py', 1), ('WadeJEB.py', 1), ('HogaGMM2.py', 1)] |
7df421564e2bf678944859e878f7a2b8df819237 | 8dc97ea2a3f828c6770067820b6eb7b09b43a8a2 | /C11Primary_communication_node.py | f50c85a07d2651af7587d73e0c21b872a2dfc05a | [] | no_license | rLoopTeam/eng-software-pod-gui | a87659e17be65c007d685e034db64d03fa4f1d95 | 088a768a2954777f999b5baaef9be1d0b84796b8 | refs/heads/master | 2021-01-10T04:53:48.176023 | 2016-01-16T21:46:48 | 2016-01-16T21:46:48 | 49,030,197 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,804 | py | C11Primary_communication_node.py | from __future__ import print_function # In python 2.7
from autobahn.twisted.websocket import WebSocketServerProtocol, WebSocketServerFactory
from twisted.internet import reactor
from time import strftime
import datetime
import random
import time
import math
import json
import sys
#from IDs import MessageList as ml
d... |
f79cf6d3ea0382712cea6633d1349f791b2bb216 | 4bbab8b8105dae0b5bd5fbdaed6bab1e5ede6dad | /_DONE/flatten-array/flatten_array.py | 84767ac9041055541c31953f0b970cd0a0ce9d68 | [] | no_license | nicolas-tdc/python-exercism | a5f8bf91315978fa22d4a57eb3414f8785537c5c | b27243fc1756d83a2785213b14f1e13dbd0222aa | refs/heads/main | 2023-08-28T03:42:23.555310 | 2021-10-01T16:32:29 | 2021-10-01T16:32:29 | 404,169,972 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 345 | py | flatten_array.py | """Flatten array"""
from collections.abc import Iterable
def flatten(iterable):
"""
:param iterable: list
:return: list
"""
flattened = []
for i in iterable:
if isinstance(i, Iterable):
flattened = flattened + flatten(i)
elif i != None:
flattened.append(... |
7674371311da37e61e0d00ede3538fdccdd9f850 | 17cf48fa2724b2b2e2aaae47fc3221e1dc33cad3 | /harf_tf_02.py | 6a03fb04014cce87b2e5c38b5ef9ef2c9c688a24 | [] | no_license | aslanismailgit/word2vecTurkishAlphabet | b8f50f51a1f34324c702f3d7a451021703292a48 | ac560a94ebe81a91852e24bcb6cfaec7937721eb | refs/heads/master | 2021-02-12T06:46:18.914035 | 2020-03-03T07:32:23 | 2020-03-03T07:32:23 | 244,569,947 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,189 | py | harf_tf_02.py | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import matplotlib
import seaborn as sns
#import re
from nltk.tokenize import word_tokenize
import nltk
import pickle
import time
from harf_tf_func import *
#%%
with open('./data/dictioanry_tr.pickle', 'rb') as f:
tr_df = pickle.load(f)
#%%
txt ... |
c42cccb4a2973cb069cb1e9e9fe35467ed12013f | 961aad2d93201d6f92c27698e3f3b2d92be9e512 | /readInputData.py | 1cc32d1daf2483379f13a3e8da7d5dbf2bece906 | [] | no_license | Calum-Johnston/Travelling-Salesman-Problem | 7842fa1ef539e2e4309fb8140ff2e86e8525f751 | 7b3cae5601827abac76356e1edb49e754a8b12a6 | refs/heads/master | 2020-08-06T21:26:05.191275 | 2019-10-06T11:59:04 | 2019-10-06T11:59:04 | 213,160,344 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,368 | py | readInputData.py | import re
import numpy as np
def readData():
with open("NEWAISearchfile012.txt", "r") as file:
next(file) #Skips first line
line = next(file) #Gets number of cities
#Creates an array of the correct size
size = re.findall('\d+', line)
size = int(size[0])
cities = n... |
87555b6193cc709f9e87ed1e979a61137f9d3963 | f5d1ef8ea6173b3b380fa2985fe346162a0b68b3 | /442_Find_All_Duplicates_in_an_Array.py | ccb0ec94dd488d2975bab5b81988c23c375fa107 | [] | no_license | ZDawang/leetcode | a66801a2ed5b06ee4e489613885a22e3130618c7 | a46b07adec6a8cb7e331e0b985d88cd34a3d5667 | refs/heads/master | 2021-09-11T15:21:36.496025 | 2018-04-09T06:28:56 | 2018-04-09T06:28:56 | 111,512,346 | 8 | 0 | null | null | null | null | UTF-8 | Python | false | false | 548 | py | 442_Find_All_Duplicates_in_an_Array.py | #!/usr/bin/python
# -*- coding: utf-8 -*-
#author : zhangdawang
#data: 2017-5-17
#difficulty degree：
#problem: 442_Find_All_Duplicates_in_an_Array
#time_complecity:
#space_complecity:
#beats:
class Solution(object):
#思想，若有一个数重复，那么它们作为下标指向的数相同。
def findDuplicates(self, nums):
res = []
for n... |
229ff53989cde723a03b5d48667d1edb40031c83 | c614189dd5f792b512ebb1f9017e7438bd64673c | /astroPicWallpaper.py | 8621a9e27013b2e5edf183831e166862fd3b3ecd | [] | no_license | siddhartpai/astroPicWindowsWallpaper | 8b2240be634bb5fa867f005e9d5099e1851b867e | 69d7f46b836d1d1e58d250cc5e59480aea03a6fc | refs/heads/master | 2021-01-10T00:59:45.599624 | 2015-03-23T07:07:10 | 2015-03-23T07:07:10 | 32,715,502 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 612 | py | astroPicWallpaper.py | import urllib2
import urllib
from time import gmtime, strftime
import ctypes
URL = "http://apod.nasa.gov/apod/astropix.html"
URL_FOLDER = "http://apod.nasa.gov/apod/"
checkString = "<a href=\"image/"
pageData = urllib2.urlopen(URL)
line = pageData.readline()
while(line!=''):
if checkString in line:
break
line =... |
74b40d2467a8b8e76cd0584a99c8c4e9e7bed3f8 | b78145c4501510b67f8a12e286b7f1487454d96a | /command/identify.py | 6085594900df0c55bdf42d75a7ee0bc5e431bece | [] | no_license | awgreene/operator-courier | a6a2bb61e9807c97766d5a9ff637cf87c89cd8b4 | b1c4b8ad0ae8a6dd37bb773a71fcd1a3658cf731 | refs/heads/master | 2020-04-12T11:11:47.666349 | 2019-01-23T19:36:22 | 2019-01-23T19:36:22 | 162,452,109 | 0 | 0 | null | 2018-12-19T14:53:46 | 2018-12-19T14:53:46 | null | UTF-8 | Python | false | false | 548 | py | identify.py | import yaml
def get_operator_artifact_type(operatorArtifactString):
operatorArtifact = yaml.load(operatorArtifactString)
if isinstance(operatorArtifact, dict):
if "packageName" in operatorArtifact:
return "packages"
elif "kind" in operatorArtifact:
if operatorArtifact["k... |
09a2f8d8a1ebab08c64436ddd4d8be9577f85216 | a0c3ffbd69823299ef655cab1de3bd6bc25972cb | /code/Question4/Solution1.py | 2676b2ad58f4a4cc89b852bd39fa4a4ad4a0ab2e | [] | no_license | KyleC14/SwordToOfferPractice | ef17304b9663bbce32f00b9d71bfab0fe19b9484 | 35b4f4553273434294644404e886e0fa9a4f1dcd | refs/heads/master | 2023-01-02T06:14:03.584683 | 2020-10-20T16:21:01 | 2020-10-20T16:21:01 | 282,450,427 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 794 | py | Solution1.py | #总体是逐行遍历
class Solution:
def findNumberIn2DArray(self, matrix: List[List[int]], target: int) -> bool:
#检查空数组
rows = len(matrix)
if rows == 0:
return False
columns = len(matrix[0])
if columns == 0:
return False
#查看大致范围
start = matrix[0]... |
8afbc5c84e016a53c1a8f67b0d640b23bacb9857 | c599292118a4843c1160c7e498ab1ee47039f03b | /innerclass.py | a1756ee9a1671bf43c9ab58617fa336722a7c42e | [] | no_license | himanshu116/pycode | 435abce82d31c0532addc7b17dfd687c52002a40 | dd7bf1b67cf3eb25c81e5e2d9bc5b20b7256fe3c | refs/heads/master | 2020-04-27T20:15:41.999913 | 2019-03-09T05:11:51 | 2019-03-09T05:11:51 | 174,651,231 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 218 | py | innerclass.py | class inner1:
def __init__(self):
print("outer class constructor")
class inner:
def __init__(self):
print("inner class constructor")
a1=inner1()
a2=a1.inner()
del a1
print(id(a2)) |
8b639af4fc625522a17a0d4c9a8014e2ca71ec6e | 9e983bc2159498df230acf87debfaac42d85a097 | /common/adb_shell.py | 3a88bbd6f4daba301551d413d3c59807ebf2f1f5 | [] | no_license | hotDOGEEE/CnTestFramePoco | 6b528211c0832faa56d071df1fd87966096d2a80 | f6d35a5a2462000a20d837e181bac41011bdf83a | refs/heads/master | 2023-07-27T08:38:54.772585 | 2021-09-08T10:02:56 | 2021-09-08T10:02:56 | 363,015,947 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,775 | py | adb_shell.py | import subprocess
import time
class AdbShell(object):
def __init__(self, resolution=None):
"""
:param resolution: 设备屏幕分辨率, 默认2340*1080
"""
if resolution is None:
resolution = [2340, 1080]
self.resolution_x = resolution[0]
self.resolution_y = resolution... |
a84f6033db0550829db1a73926f2bbb1da8842bc | 182d3361b74b3c2649984b2c478fe1b855cec43c | /app/res/rcc/product.py | c1df4a4b2920d0b8dc86a5e0039b1c2bbd438974 | [] | no_license | samuelitwaru/amoshop | c0a9c18223d7745293c3de290915cabbef9d04ed | 61f6a36c7d1376e2067a304adbe4f50b292d8b16 | refs/heads/main | 2023-07-19T07:41:01.041484 | 2021-08-30T15:20:01 | 2021-08-30T15:20:01 | 396,804,260 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 57,421 | py | product.py | # -*- coding: utf-8 -*-
# Resource object code
#
# Created by: The Resource Compiler for PyQt5 (Qt v5.15.2)
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore
qt_resource_data = b"\
\x00\x00\x34\xf2\
\x89\
\x50\x4e\x47\x0d\x0a\x1a\x0a\x00\x00\x00\x0d\x49\x48\x44\x52\x00\
\x00\x00\xa3\x... |
79b17071e40a5221007cff85eeb0378b19f51051 | 0c800a4f8d7de9c01bddea2f9b0ce7fa8769339c | /web/dashboard/views.py | c0682d9d711f1f9ab6882609278f81bdaa18b7e2 | [] | no_license | honeynet/cuckooml | bb4ea096f0d6680a3529c4fde4628eeead2eb030 | b58c847a877d74881d36b94a96fc55038a0936ad | refs/heads/master | 2022-07-18T07:48:41.083028 | 2022-06-27T08:04:50 | 2022-06-27T08:04:50 | 56,984,886 | 151 | 57 | null | 2022-06-27T08:04:51 | 2016-04-24T17:30:58 | Python | UTF-8 | Python | false | false | 2,432 | py | views.py | # Copyright (C) 2010-2013 Claudio Guarnieri.
# Copyright (C) 2014-2016 Cuckoo Foundation.
# This file is part of Cuckoo Sandbox - http://www.cuckoosandbox.org
# See the file 'docs/LICENSE' for copying permission.
import sys
import time
from django.conf import settings
from django.shortcuts import render
from django.v... |
be5e029d3b448e8aa79bba293ef621fa435008de | 69ec6ddb9c10d180f81ddf625b9fded9c980ca83 | /ods/teste_scapegoat.py | b5550171da0bee3bbf140ae01221e3a4f9423efd | [] | no_license | matheusms/ods-python | 6ba96333b6bbcb702fd831c45878da78a2cf0fb8 | a5219ee3db4f259b0adee38841705acf5b47a482 | refs/heads/main | 2023-05-19T17:38:01.960244 | 2021-06-08T16:08:15 | 2021-06-08T16:08:15 | 353,063,040 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 151 | py | teste_scapegoat.py | from P2_scapegoattree import ScapegoatTree
teste = ScapegoatTree()
teste.add(1)
teste.add(2)
teste.add(3)
teste.add(4)
teste.add(5)
teste.tamanho() |
b8f5bb402cddaaf5c9fff47bb96ba8369d4a1e66 | b411f1279d0e6951882b27838b6bb8f2ae6503cf | /products/api/views.py | e9b8c23985acc446d70119ed56749e4dfbd9af73 | [] | no_license | yh496/Allswap-cornell | 7b9e495e389b6d54a768d5455247be607ba38e0f | 5e44921a655388d9cea1fb0e92fa9275e65166e0 | refs/heads/master | 2022-12-13T05:07:33.947095 | 2020-03-04T19:08:49 | 2020-03-04T19:08:49 | 242,001,786 | 0 | 0 | null | 2022-12-08T03:39:24 | 2020-02-20T22:16:05 | JavaScript | UTF-8 | Python | false | false | 602 | py | views.py | from rest_framework import viewsets
from products.models import Product
from .serializers import ProductSerializer
from rest_framework import generics
from allswap import settings
class ProductViewSet(viewsets.ModelViewSet):
"""
A viewset for viewing and editing user instances.
"""
serializer_class = P... |
9aa5f17668c9274806e195057d60fd7f6ce34699 | 8a1704e739bfb265b3b2bb6336ab7e58c902b267 | /2019/09-september/06/solution.py | 87c59099fdc03071f8297dd28e6ea974630f7798 | [] | no_license | hallzy/DailyInterviewProSolutions | c0616330836e628d519a496dc6d87369f7d496fc | 311d1e0b90e95a078010d96f7a02b12f25cefa94 | refs/heads/master | 2020-07-13T09:50:23.988820 | 2019-09-12T02:49:52 | 2019-09-12T02:49:52 | 205,059,766 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,273 | py | solution.py | class Node:
def __init__(self, value):
self.left = None
self.right = None
self.value = value
def findCeilingFloor(root_node, k, floor=None, ceil=None):
# Fill this in.
if root_node == None:
return floor, ceil
if root_node.value == k:
return k, k
# Candidate... |
16e1065f1014042b93cdcf7aacb3c858daba40bd | 7ba673a47ac576f5181d4ac728a357def2cc61a9 | /tiff/binaryreader.py | 5158e1f4e412dff17cc58aeb8e5955dde1195aaf | [] | no_license | sthomen/tiffpie | 7b73af8bc1a7d000e144332c3602dd27a13c3773 | df2b99c270ec85d7392541933a750044ee2b21f7 | refs/heads/master | 2021-01-18T23:49:29.858043 | 2016-01-25T19:02:10 | 2016-01-25T19:02:10 | 50,238,429 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 912 | py | binaryreader.py | # vim:ts=4:sw=4:
import os
from struct import unpack
class BinaryReader(object):
"""
Perform binary reads at a given byte order
Note: while this object is like a file, it is not File Like(tm)
"""
def __init__(self, fp, bo='@'):
if type(fp) == file:
self.fp=fp
else:
self.fp=open(fp, 'rb')
self._byteo... |
35238403930a293e7dca497e7939a6f7b36bdfe0 | 1a443d14fbd8fe72a9190da1feaa8e1f07f630e7 | /httpss_pik_ru3s19b.py | e07016c6088cdb1b18caca184b767965688aec45 | [] | no_license | GAKiknadze/piksGroupsUrls | e5aa0f8e2ee59d69405b60f9d2e1b0c9119b4139 | 78413822faa35170a2842305ee26f57484566972 | refs/heads/master | 2022-10-25T03:48:19.858183 | 2020-06-14T14:04:04 | 2020-06-14T14:04:04 | 272,215,319 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,046 | py | httpss_pik_ru3s19b.py | from urllib.request import Request, urlopen
import itertools
from threading import Thread
START = 4
STOP = 5
FILE = open('pik_redirect.txt', 'a')
ALPHA = 'abcdefghijklmnopqrstuvwxyz1234567890'
def check(url):
try:
req = Request(
'https://s.pik.ru/{}'.format(url),
headers={'User-Agent': 'Mozilla/5.0'})
web... |
265c83107d4345da608c5a787050b759c68c6590 | f3f6ab723eaa4fcb799ff2c5e3b8cb33201c6d91 | /folder1/folder12.py | 51cda872c00868feb15c366e4b780f47bd64a2f2 | [] | no_license | mmlemon/python-module-sample | 000da5658cb8ea4298e2491dac64f812e318b650 | c3cb10638e4bf11a50cd47861fe67c5a99ea0c2d | refs/heads/master | 2020-12-09T15:59:21.217905 | 2020-01-12T07:18:15 | 2020-01-12T07:18:15 | 233,354,129 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 453 | py | folder12.py | """
folder1内、同一階層を参照する
"""
import folder11
def folder12method():
return "folder12method"
def folder12method_folder11call():
folder11class = folder11.folder11class()
return 'folder11.var:{}, method:{}, class_method:{}'.format(folder11.folder11var, folder11.folder11method(), folder11class.folder11class_method())
i... |
dc5103820f82cedc29bda87aff5b21ab34f145b2 | 3f12054b203ef0c0a981a8be74ab7276fb378777 | /CmpE_460/project_1/p2.py | a86a5c3d04907bf7a9bbc20a15ec3704add6233a | [] | no_license | ptpam/2018_Spring | 2a9645645fbb5846365f10e0ce41f8676eaa0216 | e761ddc9f6d36fbdbdcffed228eb0cbc0d0fc264 | refs/heads/master | 2021-01-24T12:04:39.880696 | 2018-06-06T17:36:58 | 2018-06-06T17:36:58 | 123,116,594 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,314 | py | p2.py | import numpy as np
import matplotlib.pyplot as plt
w = 1000
h = 1000
def normalize(x):
x /= np.linalg.norm(x)
return x
def intersect_sphere(O, D, S, R):
# Return the distance from O to the intersection of the ray (O, D) with the
# sphere (S, R), or +inf if there is no intersection.
# O and S are ... |
2d35757e1b45e1a4fce0aa73376c2fc7beb74460 | 04227377984a4072421ebbaf892457dc4517d661 | /train.py | c000b87dce38b555be1c1198144dca1034031f6b | [] | no_license | ykgautam09/Emotion_Detection_audio | 2ba4ce7f3a0258bb402fe43bcbed46b217e5313e | eb3f6df725d0f52de8a515a5e8f437dde3d9a132 | refs/heads/master | 2022-12-28T08:17:44.140958 | 2020-10-09T18:25:46 | 2020-10-09T18:25:46 | 302,646,173 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,398 | py | train.py | import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
import tensorflow.keras as keras
DATA_PATH = './cleaned_data.csv'
LEARNING_RATE = 0.0001
EPOCHS = 20
BATCH_SIZE = 40
SAVE_MODEL_PATH = './er_model.h5'
OUTPUT_KEYWORD = 6
MFCC_PATH='./cleaned_mfcc_feature.npy'
def load_dataset... |
0379dacbc31aeb74aa14c17e09784b161f372417 | ee3449d49f7a75b11a92496d3b5a340a399fc131 | /Classification/code/util/data_utils.py | c9f6fb97e17c3a8dc99bfd71d6ef199a0b48c711 | [] | no_license | uhh-lt/comparative | 61916d1f716140c261443960458e130ab33a515d | 642c332200fba544b8eb889358e4cc5cb908b65e | refs/heads/master | 2022-02-20T08:34:03.795476 | 2019-06-06T14:22:15 | 2019-06-06T14:22:15 | 101,860,619 | 5 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,749 | py | data_utils.py | import collections
import pandas as pd
from bs4 import BeautifulSoup
from pandas import DataFrame as df
from sklearn.model_selection import StratifiedKFold
from sklearn.utils import shuffle
CUE_WORDS_WORSE = ["worse", "harder", "slower", "poorly", "uglier", "poorer", "lousy", "nastier", "inferior",
... |
7ed86b2a68e93fcbb04e6dd52fa0fe34e1d4ce79 | 588a471a7d2ed30b83fca077d74c6620ab7ab1eb | /decrypt_chrome_cookie.py | 54f2651f61c85d4d1d47eba79248e7946f4d21b2 | [] | no_license | richardsonjf/decrypt-chrome-cookie | 55e8b00ea325cec6061f5d2ac4bf0474e7d70965 | 23e0a60939bc3c0264657a94352bee4044fe8589 | refs/heads/master | 2020-09-24T02:18:41.741300 | 2019-11-28T14:35:21 | 2019-11-28T14:35:21 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 804 | py | decrypt_chrome_cookie.py | from os import getenv
from shutil import copyfile
import sqlite3
import win32crypt
original_cookie = getenv("LOCALAPPDATA") + "/Google/Chrome/User Data/Default/Cookies"
copyfile(original_cookie, './DecryptedCookies')
with sqlite3.connect('./DecryptedCookies') as conn:
cursor = conn.cursor()
cursor.e... |
7c004e3fb325e5be1cfa54ff9bdc1c8f79ec7805 | ddcae21b0380c10b3c693d638ab2bb0c344b094d | /Outros/Atividades Guanabara/dolarReal.py | 0e0759a2196c84d73b403a9932d7a28c7044087d | [] | no_license | aka-luana/AulaEntra21_Luana | 6dc18f7ceeedec96f63305f77ec4dfdf719b158b | e8222a410a5dcf7174aba4d08bcf8f46d7be5376 | refs/heads/master | 2023-03-26T13:42:08.217019 | 2021-03-11T01:16:47 | 2021-03-11T01:16:47 | 287,594,094 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 142 | py | dolarReal.py | dinheiro = float(input("Quanto você tem na carteira? R$"))
print("Com {:.2f} você pode comprar US${:.2f}".format(dinheiro, dinheiro/3.27))
|
0782fc3312fd8ccca50920a72bad0de93f1be020 | 0eceb2020cdf6ae9c20b441774eef263e68bd81c | /main.py | b6ab42b4a710c22d2ea79941c9ea463f25b065b3 | [
"MIT"
] | permissive | raember/ARTalk | 49bc7d2f99c931b50b733ce01c523c648285496f | aadc39928333ed2b09be37f1ff50ae1f9d92254b | refs/heads/master | 2020-05-07T13:49:31.173051 | 2019-04-10T15:32:14 | 2019-04-10T15:32:14 | 180,565,047 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 341 | py | main.py | from artalk.parser import Parser
if __name__ == '__main__':
with open('in.txt', 'r') as codefile:
content = codefile.read()
for code in Parser().parse(content):
print()
print(f"[{code.title}]")
for block in code.blocks:
print(f"{block.first} {block.second}: {block.to... |
5d2e214b2bbeddaa521f95236cb237770389defc | 5dfe4b55c73a627588f9a93a9c7a9dd3651dd2a5 | /bayes_opt_qa/models/constrastive/__init__.py | 87542feec96fd90e021cb2358dbccdf74aa07883 | [] | no_license | ai-systems/explanationlp | 0b4c0422876f3115c4198f62b77a2f9dc4ab152e | 152e2a259544b49a1290975804e07b72ea68892a | refs/heads/master | 2023-04-26T05:36:45.744541 | 2021-05-27T11:06:35 | 2021-05-27T11:06:35 | 371,336,080 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 48 | py | __init__.py | from .constrastive_model import ContrastiveModel |
ba24e280637fa87943e86c1244734a8d6a983a25 | 82d07aaad8706dfc458ffa22d2b4dce89de162b4 | /变量**变量&次方计算.py | 261f5c6f789e0c63c5683f7297f2c89532457f70 | [] | no_license | czfnice/Python-science-calc | d8e2a2a5a7f7ac84d1cd33b21006b7da679f3d41 | 12e27525194efbf07b756bc38b648ed0071f57cd | refs/heads/master | 2020-12-26T17:56:22.874175 | 2020-04-11T05:24:35 | 2020-04-11T05:24:35 | 237,586,920 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 198 | py | 变量**变量&次方计算.py | c = input('请输入一个变量')
d =input('请输入上面变量所要计算的次方')
b = int(d)
a = int(c)
if a > 0:
print(a**b)
elif a < 0:
print(a**b)
else:print('请输入非零数') |
cb590a8d910674264447084c276d54b42f8bb738 | c10e20bb9c175493a9b448804a9e0bac654ad68d | /train_fault_type.py | 888f9c639fa8444114154636456399d7da32759e | [] | no_license | xiaonanchong/anjie_elevator | 8ab5a5e58f91bac5cae92992a3e04cf3abe45eac | f397147876e95bdfb604b36810b594e40c719a80 | refs/heads/master | 2020-08-23T00:19:34.405838 | 2019-10-29T09:29:07 | 2019-10-29T09:29:07 | 216,505,209 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 562 | py | train_fault_type.py | import utilities
x1, y1 = utilities.form_training_data([105,106,107,108, 169,170,171,172, 209,210,211,212, 278,279,280,281, 274,275,276,277, 270,271,272,273], [1,0,0])
x2, y2 = utilities.form_training_data([118,119,120,121, 185,186,187,188, 222,223,224,225, 282,283,284,285, 286,287,288,289, 290,291,292,293], [1,0,0])... |
3a37b3ac6661830dad860e1347c429e100fdc8ab | 3e7a8c5630de986a4d02011b1bd368c041f3f477 | /keras/基于keras实现对bert模型的蒸馏.py | ba9ef67ba1749256fbaa07606ca29c07315d8e7f | [] | no_license | gswyhq/hello-world | b9ef715f80d2b39c8efaa1aa2eb18a6257e26218 | b1ab053a05e1f8c63b8b04d6904a3cdca450bd9f | refs/heads/master | 2023-05-26T13:15:36.788620 | 2023-05-19T13:38:50 | 2023-05-19T13:38:50 | 158,821,148 | 16 | 6 | null | 2021-03-19T02:59:48 | 2018-11-23T11:04:43 | Python | UTF-8 | Python | false | false | 14,049 | py | 基于keras实现对bert模型的蒸馏.py | # -*- coding: utf-8 -*-
# @Date : 2020/9/8
# @Author : mingming.xu
# @Email : xv44586@gmail.com
# @File : distilling_knowledge_bert.py
"""
通过利用大模型（或ensemble多个模型）得到一个 Teacher Model，利用 Teacher Model 来对数据生成 soften labels，
然后通过一个小模型，同时学习 Ground True 和 soften label，来做知识蒸馏。
在生成 soften labels 时，有一个超参数 Temperature，该参数... |
93c7c95dfb1b3fe3219dc5f9d782ecf13429df0f | 821ef216eca3ecef983271ce70d0de943cea1a0b | /pajbot/managers/discord_bot.py | ce49a18eb7e7120e955d13b421f956860ffcf5ae | [
"MIT"
] | permissive | sgaweda/troybot | 3ec3d1607d05756feebe45a8b5d4c3517e093354 | 7153c0ad387e31de57c71172893fd92c85259d1b | refs/heads/master | 2021-01-06T08:24:14.766210 | 2020-02-17T17:30:36 | 2020-02-17T17:30:36 | 241,260,556 | 0 | 0 | MIT | 2020-02-18T03:09:00 | 2020-02-18T03:08:59 | null | UTF-8 | Python | false | false | 22,077 | py | discord_bot.py | import logging
from pajbot.managers.db import DBManager
from pajbot import utils
from pajbot.models.user_connection import UserConnections
from pajbot.models.user import User
import discord
import asyncio
import json
import threading
from datetime import datetime, timedelta
log = logging.getLogger("pajbot")
class Co... |
ccd4856a530cfb78c4a5133ef65775f9bd0f7ee9 | d855ef7752584f7c852e25cf8d9d39eb9898bcac | /day19/app.py | 57e8ab716540b598cadc61c8e16445b30d474a1a | [] | no_license | rikjansen-hu/aoc17 | 296e8832a917be279a8e3665d51c30060e2177f4 | a81fea6888e9fb9d8f1a41d9fdf25efd2613f5b5 | refs/heads/master | 2021-09-01T04:00:51.030194 | 2017-12-24T16:26:12 | 2017-12-24T16:26:12 | 115,137,676 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 948 | py | app.py | import numpy as np
INPUT_FILE_NAME = 'input'
START_ROW = 0
START_DIR = np.array([1, 0])
START_SYMBOL = '|'
JUNCTION_SYMBOL = '+'
SPACE_SYMBOL = ' '
def turn_left(x): return np.array([-x[1], x[0]])
def turn_right(x): return np.array([ x[1], -x[0]])
def symbol(grid, x): return gr... |
4783cd4ba96b9695b89ff354b112a801b7d7d1c0 | 76ec76a8e93d9f2e5458e80ab13d2dd16e2738fc | /grade_submit.py | 0057166e60df253ab98c86a278b3316525f1f230 | [] | no_license | cgoliver/pyCourses | aa9bdc7a0345dd0ee9616342745de7a25ff21d13 | fb8608f70b2d317866381719ca7b8537e68404d8 | refs/heads/master | 2021-01-22T06:23:36.562708 | 2017-08-24T22:04:26 | 2017-08-24T22:04:26 | 81,757,581 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,682 | py | grade_submit.py | import re
import time
import sys
import getpass
import argparse
import datetime
import cPickle as pickle
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support.ui import Select
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.suppor... |
d88b9efd5f9d973490f13704b6e14ef90c1f982c | 8924af2c790fb1793ac82920c341acf669bd6185 | /Yank/__init__.py | 3bce4befa58c29540422e47af3fdc16ecc8395d6 | [
"MIT"
] | permissive | jeffcomer/yank | 679a43cca8f0f9e399872da5f0ccd5ff71f9a94c | cb2bb72dd25939f1ebeccd5ab4ec0ab8123d8175 | refs/heads/master | 2020-12-31T10:43:52.758815 | 2020-04-23T00:34:07 | 2020-04-23T00:34:07 | 239,005,654 | 0 | 0 | MIT | 2020-02-07T19:19:28 | 2020-02-07T19:19:27 | null | UTF-8 | Python | false | false | 308 | py | __init__.py | #!/usr/local/bin/env python
"""
YANK
"""
# Define global version.
from . import version # Needed for yank 3.X.
# Self module imports
from . import utils
from . import restraints
from . import pipeline
from . import experiment
from .yank import Topography, AlchemicalPhase
__version__ = version.version
|
94428050e5ac5f136eb00d57980d189d99d29439 | 7f1680e8ba04c10d09f7018350a28235bc574bf5 | /canvas/survey.py | 6f5c39199a085de020c4cd2ea3b749a27c2cc9be | [] | no_license | atafliovich/scripts | 26ca05c05d4bf685c5cc566c9da7b9e2c9a542c4 | ed80fd4240c383cafc6efd8d640d4e518f565290 | refs/heads/master | 2023-05-05T23:06:33.078223 | 2021-05-30T05:56:45 | 2021-05-30T05:56:45 | 281,219,912 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,403 | py | survey.py | '''
Full specs for Quiz:
https://canvas.instructure.com/doc/api/quizzes.html
Full specs for QuizQuestion:
https://canvas.instructure.com/doc/api/quiz_questions.html#method.quizzes/quiz_questions.create
'''
from canvasapi import Canvas
API_URL = "https://q.utoronto.ca"
# TODO: Go to https://q.utoronto.ca/profile/se... |
f6dcb33b9027dab8893eb0385b6dc1552acaf894 | 52b5773617a1b972a905de4d692540d26ff74926 | /.history/Roman_20200805112208.py | 0d759e593f19bff2ee08f37f167687d8183d7361 | [] | 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 | 518 | py | Roman_20200805112208.py | def romanToInt(param):
totalValue = 0
romans = {'I':1,'V':5,'X':10,'L':50,'C':100,'D':500,'M':1000}
for i in range(len(param)-1):
if i+1 == len(param)-1:
totalValue += romans[param[i+1]]
if romans[param[i]] < romans[param[i+1]]:
totalValue -= romans[param[i]]
... |
4fc8f95d88aed3137b57b76b12e226d4ec622d63 | 2e7cd990cb055afb1d720d7e17e0590f98a8df8a | /Lecture74.py | 97f4f6ec2121f149af9a3def7526a374b2477f5d | [] | no_license | parnoupat/CP3-Parnoupat-Narasuppharath | 4695335520886a77628ba7852531e8311b39aa17 | 1a0fe92102461de6ca05d6a005b187f3a441de49 | refs/heads/main | 2023-03-29T08:35:36.340787 | 2021-03-31T18:42:29 | 2021-03-31T18:42:29 | 350,069,812 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 163 | py | Lecture74.py |
userInput = int(input("type number of your fruit : "))
myFruits = set()
while len(myFruits) < userInput :
myFruits.add(input("Fruit : "))
print(myFruits) |
de1c5cbd7fe082e290ca3297d3d0909c2fc28264 | 79aaa3d38c0296d0c0572fd77bfbe24bb2ee4adb | /radial_slice.py | eb0664ce76a305fd62a63fd7563e3abdcc25e858 | [] | no_license | ixicrom/droplets | 809cb3e939211b6a50acd71a47468707e01661f3 | c0e52a0a1be2aed8ad321430feee6c4c3b510a85 | refs/heads/master | 2021-07-20T06:01:24.962827 | 2021-02-11T16:39:04 | 2021-02-11T16:39:04 | 241,429,544 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,130 | py | radial_slice.py | from skimage import io
import numpy as np
import math
import pandas as pd
import matplotlib.pyplot as pl
#read the image file into an array
imFile = '/Volumes/PhD/DavidData/Emily/2014_6_2-T2M_6_63xoil_1.lsm'
imArr = io.imread(imFile, plugin = 'tifffile')
imArr.shape
im1 = imArr[0][0][:,:,0]
pl.imshow(im1)
#initialise ... |
a5d116d8a84839aaa58da666fd7a4ea1b4ed63f8 | 2b43b10fb1eef1a10a45e212f786ae7998b2ff46 | /scorecardSummary.py | a41e472670db87000a2dc68d5708b13c51c14dd2 | [] | no_license | nuschandra/cricket-content | 9e7998dedd796d568706b77c6cfd536d9090eaba | b21e928a7c2e8f3eb79c1d7a20b38865ae6ba0ee | refs/heads/master | 2021-05-05T02:25:18.437433 | 2017-09-05T01:56:33 | 2017-09-05T01:56:33 | 119,739,261 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,612 | py | scorecardSummary.py | def batsmanSummary(currentBatsmen,batsmanName,batsmanRuns,batsmanStrikeRate,index):
name=[None]*2
batsmanRunsScored=[None]*2
batsmanBallsFaced=[None]*2
strikeRate=[None]*2
for idx,player in enumerate(currentBatsmen):
runs=player.findNext('span').findNext('span').findNext('span').findNext('span')
name[idx]=play... |
0fa6aa53519dc5d8ea0586c7c4df806ea4837ab8 | 25e238c92f8a90859ee18b9a8f44463edfa82b03 | /clinical/views.py | e88ab78c68d6089d464efaeb0c1e407ba1383eff | [] | no_license | kalolad1/genome-project | a150799f4e7ea531d93467f472b708431076274d | 56b56b5d4aa645e9d13df8afd71d4a0f6b06a036 | refs/heads/master | 2021-06-14T13:41:37.621588 | 2021-03-26T20:34:11 | 2021-03-26T20:34:11 | 160,967,416 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,878 | py | views.py | from django.shortcuts import render, redirect
from django.contrib.auth.decorators import login_required
from .models import Patient, HealthEncounter
@login_required
def home(request):
"""
This view sends the user home with all of their stored patients.
"""
# Retrieves all of the users patients from th... |
4e8f1a608f3e7e5b56af7f5bcba786988530fc12 | fb39c7e3c973a45cf0c00519c9b8b57a1ffe0886 | /ICS4U/Recursion/SumDigits/recursive_sum_digits.py | 9cda1a1f8db4ac9100ec07a4b942617213769f46 | [] | no_license | phlergm/ICS4U | 87f3d75c67e26cc5e89d2b48c3a5dece8bfd5f99 | c709605b69f79b92bfa26378c489ceebfeaeb56b | refs/heads/master | 2020-07-06T01:08:19.368562 | 2019-08-17T13:53:50 | 2019-08-17T13:53:50 | 202,841,243 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 326 | py | recursive_sum_digits.py | number_sum = 0
def sum_digits(x):
global number_sum
if int(x/10) == 0:
number_sum += x
return number_sum
if x <= 0:
return -1
else:
number_sum += (x % 10)
x = int(x/10)
return sum_digits(x)
number = int(input("whta nuber \n"))
print(sum_digits(num... |
9f3954135eec6092989c32b9b7d9b171b95bfeee | 31e64391cc8b6133368b42ceb3130127908147a5 | /AlgoSpecProject/Course3/Week2/acyclicity/__main__.py | 7467c1dc305352281dfd90e67387c8bb4748b506 | [] | no_license | evdokp/AlgoSpec | 287722bba9b2481629fd2e863295faf5f7e9a8ce | 564f5f83acab55538a69d1a3aec6defbd93f793e | refs/heads/master | 2020-04-07T03:09:52.894687 | 2018-08-23T13:05:33 | 2018-08-23T13:05:33 | 52,036,944 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,002 | py | __main__.py | #Uses python3
import sys
def explore(v, graph, visited, origin):
visited[v] = True
result = False
for w in graph[v]:
if w == origin:
result = True
if result:
return result
if not visited[w]:
result = explore(w, graph, visited, origin)
... |
35f1d131e8e033c674a7a3b98adb3441a7945b86 | e1e9ebf13a3b81537cb510c7c398ebc9f8b15472 | /round1_rank2/code/main.py | dfb2a98e52a4a884551b58c714875676fe8c3f13 | [] | no_license | a876571186/TianChi_Meinian | e3f1636751aeecc72fc20f7ae4e6479810303886 | a71a17cbeab85f266bb9fd162963f50afa2fa47e | refs/heads/master | 2021-10-08T17:06:24.903106 | 2018-12-15T07:57:33 | 2018-12-15T07:57:33 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 29,203 | py | main.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# @Time : 2018/5/7 0007 下午 13:02
# @Author : Juzphy
import time
import pandas as pd
import lightgbm as lgb
import numpy as np
import re
from collections import Iterable
from sklearn.model_selection import KFold
from sklearn.metrics import classification_report
import w... |
258d35ea742d0d0a07010dc1141d1c963c1bcf0a | 8e5d6eb1a2f11d4d25eacb9b19e674727e7adfd1 | /phd_satellite_trajectory/perigee_raising/plot_orbit.py | a5f2594c50aa572082634a57aa630fbf8b45b108 | [
"Apache-2.0"
] | permissive | zampanteymedio/phd-satellite-trajectory-public | 4792d4ccd18957137bf6674a2df99d9153802a20 | d8c1d2154a413f8c010bfb944cedbd4676e3f842 | refs/heads/master | 2023-03-22T02:27:08.685402 | 2021-03-07T16:21:29 | 2021-03-07T16:21:29 | 338,893,438 | 3 | 1 | null | null | null | null | UTF-8 | Python | false | false | 3,298 | py | plot_orbit.py | import argparse
import sys
import matplotlib.image as mpimg
import gym
import matplotlib.pyplot as plt
import numpy as np
from stable_baselines3 import A2C
from stable_baselines3.common.distributions import SquashedDiagGaussianDistribution
from stable_baselines3.common.evaluation import evaluate_policy
from stable_ba... |
a24f696a6aab602453b4d6bcf2798ef5dcd72e6b | a3b306df800059a5b74975793251a28b8a5f49c7 | /Graphs/LX-2/molecule_otsu = False/BioImageXD-1.0/ITK/lib/InsightToolkit/WrapITK/lib/itkShapeRelabelImageFilterPython.py | 0a0d95af7f85e12954d3d9015672320fb242a2fe | [] | no_license | giacomo21/Image-analysis | dc17ba2b6eb53f48963fad931568576fda4e1349 | ea8bafa073de5090bd8f83fb4f5ca16669d0211f | refs/heads/master | 2016-09-06T21:42:13.530256 | 2013-07-22T09:35:56 | 2013-07-22T09:35:56 | 11,384,784 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 44,234 | py | itkShapeRelabelImageFilterPython.py | # This file was automatically generated by SWIG (http://www.swig.org).
# Version 1.3.40
#
# 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: _itkShapeR... |
c7aa3fb73ab0840bedab3e14d56ff9fa0c00a9bc | 3a760e62a47cde919ca8f357656ffeac06b34096 | /Main.py | 723631d1c64a5e6bfb26730bdcf0b89c43e25206 | [] | no_license | ScriptProdigy/framework | 1a748812bcafd58ed4adb0abac02b9cb26f794b0 | c4ace6cb87db04a28b3daf6c498299f0b7562daf | refs/heads/master | 2021-01-15T19:44:53.662240 | 2012-05-13T00:22:23 | 2012-05-13T00:22:23 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 415 | py | Main.py | import sys
from PyQt4 import QtGui
from includes import PluginFramework
class Main:
def __init__(self):
self.app = QtGui.QApplication(sys.argv)
self.plugins = PluginFramework.PluginFramework()
while(True):
pass
def run(self):
self.app.exec_()
if(__name__ == "... |
de0f9496a5304822d64201844c1f84578c2eb8de | 3de2ee5452e622a20acfac60bfc818080122ff91 | /other_setting/new-concat/layer_utils/focal_loss.py | cf4fe0d4d9155de16ffaea09944547efd2e93433 | [
"MIT"
] | permissive | Zhiwei-Chen/CCnet_Tensorflow | af9d04259fd383ad3d653bff91c028ca83defaca | 34df9a7bc82802a8eeb5d8e8e11a0409052b1dde | refs/heads/master | 2023-03-17T17:20:12.976757 | 2018-06-01T16:54:50 | 2018-06-01T16:54:50 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,842 | py | focal_loss.py | import tensorflow as tf
import numpy as np
class SigmoidFocalClassificationLoss():
"""Sigmoid focal cross entropy loss.
Focal loss down-weights well classified examples and focusses on the hard
examples. See https://arxiv.org/pdf/1708.02002.pdf for the loss definition.
"""
def __init__(self, anchorwise_outp... |
831881d5a394b0c1d3e89a857a0d64515a85d468 | da3eaf98ed94de712cd32a704c528328c368e771 | /socialmedia/posts/views.py | 2e71dfae107d8134dd01da2e6e416a1f4bff3e24 | [] | no_license | pavan709/socialmedia | 6323a3836a30100fefa82d1b1297710b1a9b8dfa | fb3a0188c9173f466eb8aeda2f8634c56fe993fc | refs/heads/main | 2023-08-25T11:55:13.731373 | 2021-10-23T11:50:30 | 2021-10-23T11:50:30 | 396,027,868 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,336 | py | views.py | from django.shortcuts import render, get_object_or_404
from django.contrib.auth.mixins import LoginRequiredMixin
from django.urls import reverse_lazy
from django.contrib import messages
from django.http import Http404
from django.views import generic
from braces.views import SelectRelatedMixin, PrefetchRelatedMixin
f... |
4a2e26a39d31cf404a2560e62ff9864ce13afff0 | e39cd9468a2860478b646f9a709dbc3dcd241244 | /main_temp.py | ce9acf6412da8c3326d04f96bad1a78c43e27f1a | [] | no_license | kasperjo/Mixed-Observabe-RRT-Single-Agent- | dccd06561d29fb4fbbf7689529c487f08fb0a006 | 633a496cd969578eb0cbba8c68a8de59b053c2f2 | refs/heads/main | 2023-07-09T14:06:05.224239 | 2021-08-17T20:06:34 | 2021-08-17T20:06:34 | 396,881,373 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,069 | py | main_temp.py | from Version12_generalizedPlan_oneAgent import *
from helper_functions import *
from matplotlib import pyplot as plt
save_plan = True
# # =================================================================
### Root RRT ###
# Parameters
x0 = Node(np.array([0, 0])) # Start point
Xi = [[-5, 5], [0, 5]] # Constraint set... |
5567f8685cd8373d85467c9b987e9f9cd166af5d | cbc4782342ad277b9f8cda805a57854ba3468edb | /SVDBias/SVDBias-surprise-kb.py | ef564569ec208fa6574744ba4ee69ee684c25021 | [] | no_license | qingkongmengnuan/BayesianRS | f7f1cdc7ca6336e3d18e98e441b65aa767846005 | e440f6bb26bdc9485d2ae15826c0900b7457b92d | refs/heads/master | 2022-11-30T20:00:20.305454 | 2020-08-11T08:25:11 | 2020-08-11T08:25:11 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,017 | py | SVDBias-surprise-kb.py | # coding:utf-8
'''
@author: Jason.F
@data: 2019.07.13
@function: Implementing SVDBias with surprise lirbray
Dataset: KnowledgeBase-cc
Evaluating by hitradio,ndcg
'''
import numpy as np
import pandas as pd
import math
from collections import defaultdict
import heapq
import surprise ... |
cfc70aa28527b8c34dd914d0155351c06c129306 | 7eaea2cafacc6b31c1786632a7894b24b2758e4b | /test/boot.py | 61833ea5f45b86209854fc6a4406c6e98d04312e | [] | no_license | BBPL/IoT | 801b3d45aac0a820a0f043e1e6b72c9ac3012f94 | f6cf9bcf4caf68ebb05757fe3d9374925e54dfac | refs/heads/master | 2020-03-29T10:11:42.635307 | 2018-09-27T18:03:27 | 2018-09-27T18:03:27 | 149,793,578 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 128 | py | boot.py | # boot.py -- run on boot-up
from network import WLAN
import pycom
pycom.heartbeat(False)
pycom.rgbled(0x00ff00)
wlan = WLAN() |
d2c904c7c5365c7c713e96dbbf47d989725203b2 | 45966bef34b32cdfd9539b06c0e7dd92a42ba52a | /lessons/first/dictionaries.py | 52ffc0698ecddcc1e6b1391ef4891c04bf54c4dd | [] | no_license | gfhack/nanodegree-data-science-fundamentals | 1fa072a3e966b2b572cafe2f5e2771de43ae2849 | f84ab6a1e6a5660bf26a0416475519c1cd2889bf | refs/heads/master | 2020-03-06T20:31:06.276049 | 2018-04-22T19:13:59 | 2018-04-22T19:13:59 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 494 | py | dictionaries.py | elements = {'hydrogen': 1, 'helium': 2, 'carbon': 6}
elements['lithium'] = 3
print(elements['carbon'])
print('mithril' in elements)
print('adamantium' not in elements)
# quiz
population = {
'Shanghai': 17.8,
'Istanbul': 13.3,
'Karachi': 13.0,
'Mumbai': 12.5
}
print(population)
test = {1: 'vai', 1.1... |
af4d6fb2b148eb3c94a1e83d6de949dd27e54d03 | 31858401fa4810cec058318074e051bd46b2fa02 | /Map.py | d486226dd957bbb0972c1042a7a2ccb8f26427f0 | [] | no_license | Ethan-Hill/Ember-Dragon | 49a506072720b51e71e01c66a53665bd8db6b77e | 0c649c4a2f5407a41a32ff9507becedb23638007 | refs/heads/main | 2023-02-13T03:44:03.435932 | 2021-01-13T02:47:18 | 2021-01-13T02:47:18 | 305,678,132 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,129 | py | Map.py | import inquirer
import os
import SamTheSmith
import Village
import Cave
import End
from termcolor import colored
xLimit = 10
yLimit = 10
xPos = 1
yPos = 1
SamVisited = False
PeterVisited = False
CaveVisited = False
EndVisited = False
VillagePeopleX = 1
VillagePeopleY = 3
SamTheSmithX = 1
SamTheSmithY = 6
CaveX = 7... |
bafee7af92ffd0cd440fd1fa257ccc4069910f90 | 1b33b08b5afeeff3f6df6135129840ca69023549 | /src/euler/Problem20.py | 8ab0af1f5ba24b9815e7f89d589837eef3cf441b | [] | no_license | marijanedjalkova/exercises | 6945a8fec5d050f30a3d099a862c9d084e22fb98 | 2a8a300d02454e0a7f849290ee73bf6172a0d437 | refs/heads/master | 2021-03-22T00:36:29.104103 | 2019-09-23T19:20:38 | 2019-09-23T19:20:38 | 118,827,736 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 336 | py | Problem20.py | from math import factorial
def find_digit_sum(number):
res = 0
num = number
while num > 0:
res += num % 10
num = num // 10
return res
def find_factorial_digit_sum(number):
fct = factorial(number)
return find_digit_sum(fct)
if __name__ == "__main__":
print(find_factorial... |
b3bab00cdfa44fade8cb99803e4424cd3e8b6c97 | ae9fe6d041ea393411902eb270a6da7d5f3f0f33 | /programs/smoothing.py | 88000df1aea1948b2dab6280a1180609de2da482 | [] | no_license | miradavidson/mTierpsy | 0ba72a64d387e2e4057f02005b442b1ee4534dcb | e95331014a20f5947d20d86912cf295d772ddd65 | refs/heads/master | 2022-12-26T11:49:08.377047 | 2020-09-24T09:33:41 | 2020-09-24T09:33:41 | 243,050,147 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,228 | py | smoothing.py | #!/usr/bin/env python
""" Smoothing of trajectories """
import numpy as np
import pandas as pd
def moving_average(curve, radius):
""" calculate moving average to smoothen curve """
window_size = 2 * radius + 1
# Define the filter
f = np.ones(window_size)/window_size
# Add paddi... |
d063203c131374ca8ca38a6c46efc4fcc2c867c6 | cff075c0bc5aeddea984b714283cbc26f5157b64 | /bert/bert_did.py | e02030cc306e52cbb39c0f36646180ad54d8a509 | [] | no_license | Karexar/gsw_dialect_identification | ab21cdfed4ed2887d78a01f64ac86edabc513186 | 00b2a35b9dc6845b08258e18b8a2906212db646e | refs/heads/master | 2022-12-11T01:11:09.602080 | 2020-09-07T14:29:12 | 2020-09-07T14:29:12 | 288,726,749 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 31,344 | py | bert_did.py | import torch
import argparse
from tqdm import tqdm
from transformers import BertForSequenceClassification as BertForSeqClass
from transformers import AdamW, BertConfig
from transformers import get_linear_schedule_with_warmup
from sklearn.metrics import accuracy_score, recall_score, f1_score
from sklearn.metrics import ... |
4be0d357836ecfe73d4ec11017002ad93a201fb6 | b0b57851170461296fdaea31b9a1f229501e66f1 | /MainDriver/CSVCreator/CreateSpotCSVDataFile.py | b6449e587271322193b17c0430be038ab00ccdde | [
"MIT"
] | permissive | puchchi/stock_scraper_latest | 234d0a91a7b1245f594e487dd33d4783159e8ec6 | 09abfa12edbec0d6a65915db37ad3ad1b25fa092 | refs/heads/master | 2021-09-03T17:29:44.486380 | 2018-01-10T17:48:01 | 2018-01-10T17:48:01 | 105,397,399 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,590 | py | CreateSpotCSVDataFile.py | import sys
from os import path
sys.path.append( path.dirname( path.dirname( path.abspath(__file__) ) ) )
sys.path.append( path.dirname( path.abspath(__file__) ) )
import MySQLdb
import csv
from scraper import utility
class kCreateSpotCSVDataFile():
def __init__(self, tableName, startDate, endDate, filename):
... |
a66130a6e181917f99f735ccec65fd44f64ffb14 | 119cc64606216c09fe9c4bfe299c7e2efd01b216 | /group_by_anagram.py | 8d959b15bbe73085160f065383128771de1bdf79 | [] | no_license | pijel/assorted-algos | e75cb75d4374c8aafe84fe943aab3312df79f95e | 084f3fe3f2130066ac427ff6741e05e8b39ca044 | refs/heads/master | 2020-03-07T01:51:27.306145 | 2018-09-20T20:31:44 | 2018-09-20T20:31:44 | 127,194,757 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 579 | py | group_by_anagram.py | class Solution:
def groupAnagrams(self, strs):
"""
:type strs: List[str]
:rtype: List[List[str]]
"""
return group(strs)
def hash_function(s):
string = ""
for c in sorted(s):
string+=c
return string
def group(strs):
dictionary = {}
for i i... |
ee90f00b0bdaf5b303b7b33fdbee461ec8839715 | ae94deeb96ea1259febb33d6016241c7d921c2a4 | /S3_CompareTest/__init__.py | 4c9218de059164ee80ed7eb017dfe88bb4939d44 | [] | no_license | RudySM/Behave-python | 1333fc0600d792099606fa35cf04f439713f0cb6 | aa7cb3ac63995b45fe3f0e956e8d4518e2240ca4 | refs/heads/master | 2021-05-04T10:34:08.567813 | 2017-03-17T20:57:21 | 2017-03-17T20:57:21 | 47,710,574 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 27 | py | __init__.py | __author__ = 'rsantamaria'
|
271a0adb9323fd4f64fcf8098981e1290d787204 | f7983f4b74cb9fcd6154007f3b11b34b9ad11ede | /urbansim/gridcell/is_vacant_land.py | 99cfaac15e0264cc46126f85fe58ac79e60347bb | [] | no_license | psrc/urbansim | 7d2fe615d7c22db839c283304067fce746fdb512 | c392d15b35aa1d47bbc185ed76314f8e6dd9f92f | refs/heads/master | 2023-06-09T16:55:50.415783 | 2023-05-11T19:24:34 | 2023-05-11T19:24:34 | 19,719,383 | 4 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,773 | py | is_vacant_land.py | # Opus/UrbanSim urban simulation software.
# Copyright (C) 2010-2011 University of California, Berkeley, 2005-2009 University of Washington
# See opus_core/LICENSE
from opus_core.variables.variable import Variable
from urbansim.functions import attribute_label
from numpy import logical_not
class is_vacant_lan... |
b29310a7c243880a5b8650c4677f68fd6eef104a | f54abdbe2eac010af2141d040a56c9bbf09fbd1d | /src/GpioInputMonitor.py | f2d428c9a9cffc0871e460fca74a028def86b097 | [
"MIT"
] | permissive | codedevloper/attify-badge | a8c8fc3bb71d3dc94be9262ea263af468281ce27 | 4555a0767bc056012906dbde507c34279bd2c6d6 | refs/heads/master | 2021-01-18T20:24:48.052229 | 2017-03-30T21:35:49 | 2017-03-30T21:35:49 | 86,965,390 | 1 | 0 | null | 2017-04-02T05:24:43 | 2017-04-02T05:24:43 | null | UTF-8 | Python | false | false | 1,605 | py | GpioInputMonitor.py | from PyQt4 import QtCore, QtGui
from PyQt4.QtCore import SIGNAL
from UI.Gpio import Ui_Form
from Threads import InputMonitorThread
class IPMonitor(QtGui.QWidget, Ui_Form):
def __init__(self,ft232h):
self.ft232h=ft232h
QtGui.QWidget.__init__(self)
self.setupUi(self)
pin_set=[]
... |
da3bd3b212db390d9e84490eb7ffc78e231d61c2 | ca7aa979e7059467e158830b76673f5b77a0f5a3 | /Python_codes/p03001/s756781903.py | e23169a9b9336cb7fcd32fc42c1c5e7e765f2879 | [] | no_license | Aasthaengg/IBMdataset | 7abb6cbcc4fb03ef5ca68ac64ba460c4a64f8901 | f33f1c5c3b16d0ea8d1f5a7d479ad288bb3f48d8 | refs/heads/main | 2023-04-22T10:22:44.763102 | 2021-05-13T17:27:22 | 2021-05-13T17:27:22 | 367,112,348 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 128 | py | s756781903.py | w,h,x,y = map(int,input().split())
ans = str(w*h/2)
if w==x*2 and h==y*2:
ans = ans+" 1"
else:
ans = ans+" 0"
print(ans) |
1536c878491ad45e8de9038087646b3545ea4129 | 3909d3cde5c8b8b97c8eb791b0939ed976359c1d | /goodstuff.py | 3c5c839b275e32eebe882a6a4251b3097f631732 | [] | no_license | cgcummings/dataVisual | 2fe7dfe9227ecd3a474f7e2fbf7b3f2f56787849 | 71dd6a53be40518426aae10de7c15d4134f3f8c4 | refs/heads/master | 2020-03-07T02:21:17.803782 | 2018-10-29T17:13:13 | 2018-10-29T17:13:13 | 127,206,866 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,746 | py | goodstuff.py | from mpl_toolkits.mplot3d import axes3d
import matplotlib.pyplot as plt
import numpy as np
import scipy.constants as sp
fig = plt.figure()
ax = fig.gca(projection='3d')
a = 0.22361
b = 1.6
sigma =41.88
const = sigma / (4.0 * np.pi * sp.epsilon_0)
x, y, z = np.meshgrid(np.arange(0.01, a, .1),
np... |
20f223f02aa583f2c241f4f4c96153bfbbd93eb0 | 478fca63f418effc466e083d2646c6fa40acbf13 | /marketdb/apps.py | 012038a5f9e51dbb69d563a969024b110b8e61eb | [] | no_license | BROOKLYNSMARKET/ecommerce | b9912e654ec47302ca7915bd9dc9a91ad374fa20 | 47c38e738f178d6bd73a611499e13da9c8f4061d | refs/heads/main | 2023-02-01T20:05:27.563475 | 2020-12-15T00:23:50 | 2020-12-15T00:23:50 | 311,433,932 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 91 | py | apps.py | from django.apps import AppConfig
class MarketdbConfig(AppConfig):
name = 'marketdb'
|