repo_name stringlengths 7 111 | __id__ int64 16.6k 19,705B | blob_id stringlengths 40 40 | directory_id stringlengths 40 40 | path stringlengths 5 151 | content_id stringlengths 40 40 | detected_licenses list | license_type stringclasses 2
values | repo_url stringlengths 26 130 | snapshot_id stringlengths 40 40 | revision_id stringlengths 40 40 | branch_name stringlengths 4 42 | visit_date timestamp[ns] | revision_date timestamp[ns] | committer_date timestamp[ns] | github_id int64 14.6k 687M ⌀ | star_events_count int64 0 209k | fork_events_count int64 0 110k | gha_license_id stringclasses 12
values | gha_fork bool 2
classes | gha_event_created_at timestamp[ns] | gha_created_at timestamp[ns] | gha_updated_at timestamp[ns] | gha_pushed_at timestamp[ns] | gha_size int64 0 10.2M ⌀ | gha_stargazers_count int32 0 178k ⌀ | gha_forks_count int32 0 88.9k ⌀ | gha_open_issues_count int32 0 2.72k ⌀ | gha_language stringlengths 1 16 ⌀ | gha_archived bool 1
class | gha_disabled bool 1
class | content stringlengths 10 2.95M | src_encoding stringclasses 5
values | language stringclasses 1
value | is_vendor bool 2
classes | is_generated bool 2
classes | length_bytes int64 10 2.95M | extension stringclasses 19
values | num_repo_files int64 1 202k | filename stringlengths 4 112 | num_lang_files int64 1 202k | alphanum_fraction float64 0.26 0.89 | alpha_fraction float64 0.2 0.89 | hex_fraction float64 0 0.09 | num_lines int32 1 93.6k | avg_line_length float64 4.57 103 | max_line_length int64 7 931 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
JanaRankova/pyladies | 16,217,796,512,512 | 9c56992d10b6aeef854ae5854a83f784dc90a02f | f44a783125105e858843082a2b526d613ba0be01 | /06_ulohy/piskvorky1.py | c0bb4690257fe908ae8c14d872fd0f3744ca9f9c | [] | no_license | https://github.com/JanaRankova/pyladies | ab09f1392212f72f2952e73525a93be0ede2484d | ef034b63fbafc5fc76c580fb4999dcf500e1feb8 | refs/heads/master | 2020-08-15T15:07:46.326357 | 2019-12-30T18:04:58 | 2019-12-30T18:04:58 | 215,361,294 | 0 | 0 | null | false | 2019-12-30T18:05:00 | 2019-10-15T17:47:29 | 2019-12-30T18:02:58 | 2019-12-30T18:04:59 | 42 | 0 | 0 | 0 | Python | false | false | hracie_pole = '--------------------'
def vyhodnot(hracie_pole):
"""Vezme momentalny stav hracieho pola a podla podmienok vo funkcii, urci vyhercu."""
stav = ''
if 'xxx' in hracie_pole:
stav = 'x'
elif 'ooo' in hracie_pole:
stav = 'o'
elif '-' not in hracie_pole:
stav = '!'
... | UTF-8 | Python | false | false | 393 | py | 38 | piskvorky1.py | 33 | 0.536896 | 0.536896 | 0 | 16 | 23.625 | 89 |
emaballarin/RADLER | 14,439,680,063,489 | 6ea02a30b241e7e2f6833b124fe912327aa2d328 | a5b8bc5953b5205419554e0c7e8853cc4ba9a124 | /src/radler_ae_pretrain.py | b106376787f535942082637b04c5aef76002ca8d | [
"MIT"
] | permissive | https://github.com/emaballarin/RADLER | c2d8595d72f6465418a34d0f8cacd1db22cdca22 | 5a059939a2ddb02c49689bd9d867aa9935589faa | refs/heads/master | 2020-06-28T18:26:01.567885 | 2020-06-08T03:28:56 | 2020-06-08T03:28:56 | 200,308,007 | 1 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | # ---------------------------------------------------------------------------- #
# #
# RADLER ~ (adversarially) Robust Adversarial Distributional LEaRner #
# ... | UTF-8 | Python | false | false | 5,265 | py | 19 | radler_ae_pretrain.py | 17 | 0.535613 | 0.527825 | 0 | 155 | 32.967742 | 101 |
Tecplot/handyscripts | 5,720,896,458,849 | 6386954e4995350c85cf6cec422c709145b3531f | 4ad94b71e30883d6df07a3277265bd6fb7457ba7 | /python/examples/doc_examples/data/dataset_variable_names_tuple.py | aa42eef38f35393f479285754263ab374bdbd3a5 | [
"MIT"
] | permissive | https://github.com/Tecplot/handyscripts | 7cb1d4c80f323c785d06b0c8d37aeb0acb67f58c | 84a89bfecff5479a0319f08eb8aa9df465283830 | refs/heads/master | 2023-08-22T15:29:22.629644 | 2023-08-12T01:19:59 | 2023-08-12T01:19:59 | 149,826,165 | 89 | 64 | MIT | false | 2022-01-13T01:11:02 | 2018-09-21T22:47:23 | 2022-01-12T19:41:56 | 2022-01-13T01:11:01 | 12,260 | 58 | 47 | 1 | Jupyter Notebook | false | false | from os import path
import tecplot as tp
examples_dir = tp.session.tecplot_examples_directory()
datafile = path.join(examples_dir,'SimpleData','DownDraft.plt')
dataset = tp.data.load_tecplot(datafile)
result = tp.data.query.probe_at_position(0,0.1,0.3)
data = dataset.VariablesNamedTuple(*result.data)
# prints: (RHO, ... | UTF-8 | Python | false | false | 415 | py | 314 | dataset_variable_names_tuple.py | 287 | 0.706024 | 0.662651 | 0 | 12 | 33.583333 | 63 |
qingshangithub/Smart-car-tracking-with-opencv | 19,026,705,149,551 | 458c9de713b120f8e0d9a237eea7de21fa71b2fb | c5e2ca3242cf86c4d6d9e5cff65763784aaaa708 | /NNCProject/Lower/motor_multiPro/speedsensor/test.py | 48db76f53a3cb325a45c095b83a8b459520f291c | [] | no_license | https://github.com/qingshangithub/Smart-car-tracking-with-opencv | bed8a3417102572963dc35bd6bdb80e226a93142 | 9d11d9b3f22acfc0f24002e6b420cbdc5d95f9cf | refs/heads/master | 2021-04-26T22:57:11.912021 | 2018-03-05T10:35:30 | 2018-03-05T10:35:30 | 123,901,874 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import pigpio
from time import sleep
from multiprocessing import Process
p = pigpio.pi()
p.set_mode(17, pigpio.INPUT)
def cbf(g, l, tick):
print(tick)
cb = p.callback(17, pigpio.RISING_EDGE, cbf)
if __name__ == '__main__':
sleep(20)
| UTF-8 | Python | false | false | 244 | py | 40 | test.py | 23 | 0.668033 | 0.643443 | 0 | 13 | 17.769231 | 44 |
usyyy/python | 17,557,826,309,209 | 8a4bf4df04f08e0b9b6458f4ae30f9f027d76afb | 80cc3be9871b9d306dcebb1df7ddcbf9284a9524 | /fluent-python/my-code/01-python-data-model/01-a-pythonic-deck.py | dbcb61a4ef3eb3acadb3506cfc408f0ae2e4ecac | [] | no_license | https://github.com/usyyy/python | c4d79cb4211eaece960d64649a83db1060df30fa | 9532c5b95036342d9345c4ed2d55b16f507dade6 | refs/heads/master | 2020-01-23T22:01:02.662730 | 2017-12-06T22:37:02 | 2017-12-06T22:37:02 | 74,713,627 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import collections
from random import choice
from math import hypot
# Example 1.1 - A deck as a sequence of cards
Card = collections.namedtuple('Card', ['rank', 'suit'])
class FrenchDeck:
ranks = [str(n) for n in range(2, 11)] + list('JQKA')
suits = 'spades diamonds clubs hearts'.split()
def __init__(se... | UTF-8 | Python | false | false | 1,892 | py | 59 | 01-a-pythonic-deck.py | 53 | 0.609937 | 0.593552 | 0 | 94 | 19.12766 | 86 |
detian08/mcl | 3,547,642,993,752 | ecf7afa8cc47355febbf1968a8783586d0099af2 | 99e57f00fcaf4469c1c1b79f2d17176aaef9a790 | /loan/wizard/__init__.py | 73594a5199bed8d87c64e42931c7ccf1dc9fa32c | [] | no_license | https://github.com/detian08/mcl | d007ffd0e869f3bd9a8c74bc8473119901f0de2a | 32d61148326c931aca0107c3894061773f287e33 | refs/heads/master | 2022-03-23T19:36:29.608645 | 2019-12-11T10:15:50 | 2019-12-11T10:15:50 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | from . import hr_loan_wizard
| UTF-8 | Python | false | false | 29 | py | 287 | __init__.py | 188 | 0.758621 | 0.758621 | 0 | 1 | 28 | 28 |
akbarlintang/perumahan | 16,449,724,778,184 | e981ad2971bf95bb5ad26fb4b7a1eb93a1732c2b | 73f6ba42a793d18ad5b4c44cfdc278e51aa1b9b0 | /perum/views.py | e8828e9cea66ce406f19303c074bfd490595440b | [] | no_license | https://github.com/akbarlintang/perumahan | e14eb922a86c76581d8faae5700ff21e83ba13ee | 66c908a382bc32e9b9abc69b3a6f22eab12d8d2c | refs/heads/main | 2022-12-30T08:11:23.856824 | 2020-10-22T15:33:30 | 2020-10-22T15:33:30 | 306,377,878 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | from django.shortcuts import render, redirect
from django.http import HttpResponse
from django.db.models import Sum
from django.forms import inlineformset_factory
from django.contrib.auth.forms import UserCreationForm
from django.contrib.auth import authenticate, login, logout
from django.contrib.auth.decorators impor... | UTF-8 | Python | false | false | 7,587 | py | 52 | views.py | 36 | 0.734282 | 0.734282 | 0 | 261 | 28.068966 | 142 |
andrebola/main-recsys-cocoplaya | 9,191,230,041,151 | 7bab7a800ddfcf61447566dcc560e4cf4e55df45 | 245540330cbfe32b2431dd655632c6b0c6200f69 | /model_main.py | 0f76e4280c19f3e2488e9e0508b02a748bfc80e7 | [
"Apache-2.0"
] | permissive | https://github.com/andrebola/main-recsys-cocoplaya | eec1f05186d7acaaebb72a40030126b95ccdb1ce | 02df2bebac5ea75006ddbc86404f3ff886af396e | refs/heads/master | 2022-12-14T23:42:16.614712 | 2018-06-30T13:32:09 | 2018-06-30T13:32:09 | 139,248,485 | 3 | 0 | Apache-2.0 | false | 2021-06-01T22:20:20 | 2018-06-30T12:40:58 | 2019-04-18T06:01:25 | 2021-06-01T22:20:18 | 8 | 3 | 0 | 1 | Python | false | false | import pickle
import os
import re
import json
import numpy as np
import datetime
from sklearn.feature_extraction.text import CountVectorizer, HashingVectorizer
from sklearn.feature_extraction import DictVectorizer
from sklearn.preprocessing import MinMaxScaler, QuantileTransformer, LabelBinarizer
from sklearn.decompos... | UTF-8 | Python | false | false | 8,148 | py | 2 | model_main.py | 1 | 0.624325 | 0.607757 | 0 | 173 | 46.098266 | 139 |
mwouts/jupytext | 6,150,393,177,714 | c3b973b70edb356c3f74bcbd0908401f4f680729 | 6950d17118b97259e181cfc1e6ba3becf6fab753 | /tests/notebooks/mirror/ipynb_to_sphinx/sample_rise_notebook_66.py | 7de7c1af489b6441c5ac9ea88e3bd9d5f01be008 | [
"MIT"
] | permissive | https://github.com/mwouts/jupytext | 8f38d974320e17d9bfdc02a91707b5d7cba999cc | 28cc7de53d403838caf24c3470df95e94a82d132 | refs/heads/main | 2023-09-04T04:20:37.143750 | 2023-08-26T20:39:32 | 2023-08-26T21:01:59 | 137,444,487 | 6,292 | 451 | MIT | false | 2023-09-12T14:41:06 | 2018-06-15T05:25:36 | 2023-09-12T09:31:00 | 2023-09-12T14:41:05 | 24,266 | 6,135 | 381 | 115 | Python | false | false | # ---
# jupyter:
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
"""
A markdown cell
"""
1+1
###############################################################################
# Markdown cell two
| UTF-8 | Python | false | false | 242 | py | 433 | sample_rise_notebook_66.py | 162 | 0.371901 | 0.355372 | 0 | 16 | 14.125 | 79 |
niryRemyNimbol/masterarbeit | 13,821,204,767,087 | 759f2070fbcb3e0d26074a24bde9e9152a8e9e33 | 94bc505d5c9117ab6cae344274dc3391f32856d7 | /mrf_lstm_run.py | ebe475508777077742d38835c0079c54a685e19a | [] | no_license | https://github.com/niryRemyNimbol/masterarbeit | 3bd6cffe2cf7bc47651c2e23dd2e8819cd541f09 | 31fe9821ae7957583f723773e09831716c59b254 | refs/heads/master | 2020-04-05T04:39:47.855887 | 2019-05-21T12:45:05 | 2019-05-21T12:45:05 | 156,560,515 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import tensorflow as tf
import numpy as np
import dic
import rnn_functions
import display_functions
import matplotlib.pyplot as plt
from sklearn.metrics import r2_score as r2
data_path = '../recon_q_examples/data/Exam52004/Series5/recon_data'
mask_path = '../recon_q_examples/data/Exam52004/Series5/mask.dat'
map_path =... | UTF-8 | Python | false | false | 8,009 | py | 22 | mrf_lstm_run.py | 21 | 0.602697 | 0.520664 | 0 | 156 | 50.339744 | 138 |
Godys05/smartSlideshow | 3,624,952,447,062 | 102b441762f07e2ca2a8d64db28192bd7b10c082 | 548f0a265ddff2199a6a3de98218209bf348c504 | /Weather.py | 62cf01ff4435be296b4f107063ceddc2020cb583 | [] | no_license | https://github.com/Godys05/smartSlideshow | d611707ac5276ee4917ec3d5f37584f603d33a19 | 397220995a45f60f3cbae31653f943622b3ccb2f | refs/heads/master | 2022-04-22T18:13:33.256990 | 2020-04-23T18:09:26 | 2020-04-23T18:09:26 | 258,274,945 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import math
class Weather:
def __init__(self, main='s'):
self.main = main | UTF-8 | Python | false | false | 85 | py | 6 | Weather.py | 5 | 0.588235 | 0.588235 | 0 | 4 | 20.5 | 33 |
PGCodehub/Image_Classification_Project | 13,804,024,913,357 | d22ede76ed32e301286fa03ffdb7cf029b40ecf8 | a41dd194efad4407fae4ffb646b84e4222cd487d | /predict.py | 24ad1d3b01e3218f46950b614af4dc0b577a12af | [] | no_license | https://github.com/PGCodehub/Image_Classification_Project | f457c6eb7f88f953b9cf3f6409001abe3d0b5dd6 | af1646588abda01f1a43f999ae5c9db3a31ccc2a | refs/heads/master | 2020-04-25T12:05:41.235293 | 2019-02-26T19:04:58 | 2019-02-26T19:04:58 | 172,767,284 | 1 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | #Created by pramod G
#All imports
from time import time,sleep
import argparse
import torch
from torch import nn, optim
import torch.nn.functional as F
from torchvision import datasets, transforms, models
import numpy as np
import matplotlib.pyplot as plt
from PIL import Image
import json
#for keeping workspace l... | UTF-8 | Python | false | false | 6,961 | py | 3 | predict.py | 2 | 0.601063 | 0.588278 | 0 | 216 | 31.226852 | 262 |
ByteLorde/RSEnterprise | 13,958,643,741,172 | 044256da2e98d9101c671edc4e7b257061064509 | f4fcceabcadc8dfb4d06cad2e8a5a6535253c0b5 | /src/base/modules/Drawable/Label/Label.py | b2484e6d65d936cdc802b29239a121b3ca8e94ea | [] | no_license | https://github.com/ByteLorde/RSEnterprise | 7fa56ce9a78ed6e6609a1045cc2c805ab277000d | 7ceb1e46339dc6c8f0e212fcfc95edf25aac7fcf | refs/heads/master | 2020-03-23T14:15:37.691099 | 2019-09-04T18:15:16 | 2019-09-04T18:15:16 | 141,665,879 | 0 | 1 | null | false | 2018-08-08T02:14:01 | 2018-07-20T05:05:32 | 2018-07-25T01:05:42 | 2018-08-08T02:14:01 | 1,679 | 0 | 1 | 0 | Python | false | null | import cv2
from src.base.modules.Drawable.Color.Color import Color
class Label:
HERSHEY_SIMPLEX = 0
HERSHEY_PLAIN = 1
HERSHEY_DUPLEX = 2
HERSHEY_COMPLEX = 3
HERSHEY_TRIPLEX = 4
HERSHEY_COMPLEX_SMALL = 5
HERSHEY_SCRIPT_SIMPLEX = 6
HERSHEY_SCRIPT_COMPLEX = 7
FONT_ITALIC = 16
... | UTF-8 | Python | false | false | 1,380 | py | 33 | Label.py | 32 | 0.621739 | 0.61087 | 0 | 59 | 22.389831 | 97 |
typemegan/Python | 18,124,762,005,692 | bfb6cdd76314a13dba63f9e91d7096ff7d8805fe | af4d2a0cefb304b5f38a4f0c170b799d7bb8f059 | /CorePythonProgramming_2nd/ch02_start/print_test.py | 839073f2c92b972766270b7df77ae28380b530b7 | [] | no_license | https://github.com/typemegan/Python | e577842447c81dcb980198b33f844b4fab888517 | 9bfc48ddc3b050e629a9b84b41df57f35f990d2e | refs/heads/master | 2020-12-13T18:25:13.379953 | 2019-06-07T04:01:24 | 2019-06-07T04:01:24 | 37,420,605 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | #coding:utf-8
num = 10
decorate = '*'*num + 'ex%d' + '*'*num
#-----------------ex8:逗号-----------------
title = decorate % 8
print title
print "Mary had a little lamb."
print "Its fleece was white as %s." % 'snow'
print "And everywhere that Mary went."
print "."*10
end1 = 'C'
end2 = 'h'
end3 = 'e'
end4 = 'e'
end5 =... | UTF-8 | Python | false | false | 2,511 | py | 274 | print_test.py | 263 | 0.591264 | 0.568276 | 0 | 122 | 16.819672 | 72 |
fossabot/Airflow-DAG | 7,679,401,533,495 | dbfc6c003c1468115b1a63beb9d9a4ba791f5b70 | 09eebd3cadc58f0765602d29f603db4528f2873e | /dags/bash_test_triggers.py | b49ffb5cc86d228aae535787c603cbac57da3517 | [
"Apache-2.0"
] | permissive | https://github.com/fossabot/Airflow-DAG | ef52675b770870e36e579e8816a19626f00deac9 | feb015251093afbb2d51325e56f7764a1ad8cdc9 | refs/heads/master | 2020-06-17T07:02:04.223922 | 2019-07-08T15:22:39 | 2019-07-08T15:22:39 | 195,838,983 | 0 | 0 | Apache-2.0 | true | 2019-07-08T15:22:34 | 2019-07-08T15:22:34 | 2019-07-06T21:17:41 | 2019-07-06T21:17:40 | 45 | 0 | 0 | 0 | null | false | false | from airflow import DAG
from airflow.operators.bash_operator import BashOperator
from datetime import datetime, timedelta
# Define the DAG...
# Create the default arguments
from airflow.operators.dagrun_operator import TriggerDagRunOperator
default_args = {
'owner': 'hashmap-airflow',
'depends_on_past': Fals... | UTF-8 | Python | false | false | 2,667 | py | 5 | bash_test_triggers.py | 2 | 0.67754 | 0.664792 | 0 | 90 | 28.633333 | 92 |
DaiJitao/web_spammer_detection | 15,693,810,537,107 | 2a9d6814c583645399bdfb8a9f75b5443eb5a202 | a04c62fe53387f41e893c86d3603f65ff1a70ae0 | /server/data_annotation/semantic_similarity.py | bf6650eda6d2ef46c5bf211ce9ba7427dc9d9551 | [] | no_license | https://github.com/DaiJitao/web_spammer_detection | 233f2b228cff6a1c71745179ee313f9daaf287cb | 5d6c72dbdabdbb97ae0bf05468838a435dc4b3a5 | refs/heads/master | 2020-05-25T23:29:21.309615 | 2019-07-22T01:01:07 | 2019-07-22T01:01:07 | 188,034,797 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | from conf.config import stop_words_file, fanChengCheng_db, redis_host, redis_port, incsv_fanChengCheng, zhaiTianLin_db, \
incsv_haiTianLin, jueDiQiuSheng_db, incsv_jueDiQiuSheng, zhangDanFeng_db, incsv_zhangDanFeng
import jieba_fast as jieba
from tools.utils import list_all_users_text, RedisClient, list_all_users, ... | UTF-8 | Python | false | false | 3,808 | py | 27 | semantic_similarity.py | 18 | 0.546652 | 0.540889 | 0 | 117 | 30.153846 | 121 |
sanyamjain335/SNS-Assignment | 14,293,651,166,186 | 0bf98e82a9de440af428448c3e633aee30776ad0 | 5d2c6c4072510d1883ee30ddf7da2c263598c47c | /serverlib.py | 503371a426ed80babb4ebb5ea28fca97cfb24437 | [] | no_license | https://github.com/sanyamjain335/SNS-Assignment | 0ce1f3d2433872b9b4d97d0f3ca1e4684d826654 | 3e5d4b39eba7b8c6f46f5ce5676570bcd50487e8 | refs/heads/main | 2023-02-25T02:46:41.875400 | 2021-01-27T13:34:51 | 2021-01-27T13:34:51 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import clientlib
import socket,pickle
import json
import random
import crypto
import time
HOST = '127.0.0.1'
PORT = 54005
class group:
def __init__(self,name):
self.grname = name
self.membercount=0
self.memberdic = {}
self.nounce=str(random.randint(0,655365))
def addmember(sel... | UTF-8 | Python | false | false | 4,170 | py | 11 | serverlib.py | 6 | 0.509353 | 0.49952 | 0 | 103 | 39.31068 | 171 |
GuilhermeVBeira/Aulas-Django | 5,076,651,351,419 | 6edfb7e032f7c49a38e8e464c7e6e7df6747afe3 | af3eae2d55e83622bdbeb2188079d2feb98eb617 | /aula11/apps.py | 3fe432c7a4d3917373e18b06eb82b338d9f30f86 | [] | no_license | https://github.com/GuilhermeVBeira/Aulas-Django | 16d1582040d83dd5b6b8f6194a8261be63a95569 | 80e784fdc2d8a6903b44463f8b4ade514bd809f1 | refs/heads/master | 2022-12-06T09:03:27.858413 | 2021-06-09T19:32:36 | 2021-06-09T19:32:36 | 240,728,073 | 2 | 2 | null | false | 2022-11-22T05:26:37 | 2020-02-15T14:36:02 | 2021-06-09T19:32:39 | 2022-11-22T05:26:34 | 981 | 2 | 0 | 2 | Python | false | false | from django.apps import AppConfig
class Aula11Config(AppConfig):
name = "aula11"
def ready(self):
import aula11.signals
| UTF-8 | Python | false | false | 139 | py | 87 | apps.py | 75 | 0.690647 | 0.647482 | 0 | 8 | 16.375 | 33 |
massimo-nocentini/microkanrenpy | 10,024,453,677,728 | 63eb372d08729adb11b5de4c71f5968728509e00 | 6960e497327f51d99e82acf899fa45b4bc38af62 | /src/sexp_test.py | afba8136c973807a09072b3644012801ad5ef273 | [] | no_license | https://github.com/massimo-nocentini/microkanrenpy | 6a635f02d6bb645e1d0eb0b2abc5282934a49589 | 62c71ae015c0ecc0330d70a2eeb6084430a5bb47 | refs/heads/master | 2021-06-07T06:02:06.137934 | 2020-12-04T10:47:31 | 2020-12-04T10:48:03 | 90,005,342 | 11 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null |
import unittest
from functools import partialmethod
from muk.sexp import *
class sexp_tests(unittest.TestCase):
def test_null_list(self):
self.isomorphism(l=[], c=[])
def test_singleton_proper_list_to_cons(self):
self.isomorphism(l=[1], c=cons(1, []))
def test_plain_proper_lis... | UTF-8 | Python | false | false | 2,061 | py | 21 | sexp_test.py | 7 | 0.60165 | 0.575449 | 0 | 56 | 35.714286 | 106 |
yuexishuihan/yuexishuihan.github.io | 6,030,134,100,921 | 590f0e66f61cbc5d93a1d95342fe1e31b0a6c6fc | 0d437f1bcedbdf4e5e0e85d325062d6dc09825d6 | /Socket通信/udp聊天_1.py | 62b1fba846d6337957fd982ea6f082e5f2632ae3 | [] | no_license | https://github.com/yuexishuihan/yuexishuihan.github.io | dbe862cea471d756d7770168aab9b82794c63a96 | ad9af9cc9481e0fdd4695b8c872f5c2ddd9ea51b | refs/heads/master | 2020-04-09T06:31:27.285478 | 2019-02-27T08:31:31 | 2019-02-27T08:31:31 | 160,116,540 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import socket
def send_msg(udp_socket):
'''发送消息'''
# 获取对方的IP/PORT
dest_ip = input("请输入对方IP:")
dest_port = int(input("请输入对方端口号:"))
# socket套接字可以同时进行收发数据
# 2.使用套接字发送数据
# 从键盘获取数据
send_date = input("请输入要发送的内容:")
udp_socket.sendto(send_date.encode("utf-8"),(dest_ip,dest_port))
def rec... | UTF-8 | Python | false | false | 1,382 | py | 57 | udp聊天_1.py | 55 | 0.506318 | 0.486462 | 0 | 55 | 19.163636 | 69 |
wlWarren/mail_classifizer | 3,530,463,141,284 | 207730e79a2c2a57bfa23dd338c0c3b309663b9a | 959983112b37db56c0ee7f0e3940f9aad99fd169 | /word_vector.py | 037ae9ef56a1b2ee2667adb855c53c546f2fbea5 | [] | no_license | https://github.com/wlWarren/mail_classifizer | 3e102d89e02e241faf2be78fb84cc3e274ee6716 | 68202f7b88d229e22a309cfe24501fa81a5006be | refs/heads/master | 2021-08-30T05:36:09.306868 | 2017-12-16T06:28:00 | 2017-12-16T06:28:00 | 114,438,000 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | # encoding:utf-8
import jieba
import jieba.posseg as pseg
import sklearn.feature_extraction.text
import json
from scipy import sparse, io
from sklearn.externals import joblib
# 非 tf-idf 词向量
class Counter_Vectorizer(sklearn.feature_extraction.text.CountVectorizer):
def build_analyzer(self):
def analyzer(doc... | UTF-8 | Python | false | false | 2,415 | py | 13 | word_vector.py | 8 | 0.633318 | 0.625057 | 0 | 68 | 31.044118 | 79 |
dellielo/katatest | 3,221,225,484,093 | 272dd0edf4b41ad62cb7879172ffc613beb7ed51 | b882ffe25d7aadd0286bb9f00d8d7df0b3ad29db | /tests/test_katatest.py | b53c014cb0fdbbfb13fde097d480c2874c57b8f3 | [
"MIT"
] | permissive | https://github.com/dellielo/katatest | 36a503a0fa5790fa11f567bb11c9fd939f210aaa | 83f4499a0e3f9d950ebc6c8bd02604181836d23a | refs/heads/master | 2020-09-09T15:07:34.091054 | 2019-11-18T13:09:46 | 2019-11-18T13:09:46 | 221,474,622 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null |
from katatest.cli import main
def test_basics():
assert_equal(0, price([]))
assert_equal(8, price([1]))
assert_equal(8, price([2]))
assert_equal(8, price([3]))
assert_equal(8, price([4]))
assert_equal(8 * 3, price([1, 1, 1]))
def test_simple_discount():
assert_equal(8 * 2 * 0.95, price([0, 1]))
asse... | UTF-8 | Python | false | false | 1,048 | py | 5 | test_katatest.py | 1 | 0.483779 | 0.351145 | 0 | 37 | 27.297297 | 73 |
caiwjohn/embedded_pred | 8,615,704,428,635 | 7a955cc141a044f71276acf6f740b228647d0cc6 | ec2dd6cb985439bd8f70be558900a8e2f119f691 | /get_embeddings.py | 141cea5b62e6ec098b67801c32f265d16e9ecfa3 | [
"MIT"
] | permissive | https://github.com/caiwjohn/embedded_pred | 5512c758fe5715ea14fce2131c563c85bab2879d | 89c2d2bfb9db4589afc26dbb74faf5926fe36b84 | refs/heads/master | 2022-07-17T22:46:51.432284 | 2020-05-18T19:09:29 | 2020-05-18T19:09:29 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | from keras.models import Model, load_model
from load_data import load_csv, get_onehot
import numpy as np
import csv
#Saves <ex_per_class> sample embeddings per class
#EDIT THESE PARAMETERS (see README)-------------------------------------
model_name = 'my_model'
num_classes = 100
ex_per_class = 100
data_file = 'my_d... | UTF-8 | Python | false | false | 1,425 | py | 10 | get_embeddings.py | 9 | 0.633684 | 0.618947 | 0 | 52 | 26.403846 | 118 |
ten2net/Leetcode-solution | 13,365,938,256,520 | 9bc64a4a24b73344f6206f6ba0ffc58b8e991bb8 | 51f7752df6a6e2b4dcee7ea585bacf7b9cb5ea14 | /116. Populating Next Right Pointers in Each Node.py | 7a45110922629443243db1374ea90bb47eb2f6ff | [
"MIT"
] | permissive | https://github.com/ten2net/Leetcode-solution | a9ba7235987c0fdd1860d88ae461a4ea1fb979e4 | 97e84daa2926a9cd2036e0dee36dfe5773114b15 | refs/heads/master | 2021-01-21T20:29:42.570931 | 2016-12-06T10:29:18 | 2016-12-06T10:29:18 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | # Definition for binary tree with next pointer.
# class TreeLinkNode(object):
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
# self.next = None
class Solution(object):
def connect(self, root):
"""
:type root: TreeLinkNode
:... | UTF-8 | Python | false | false | 992 | py | 223 | 116. Populating Next Right Pointers in Each Node.py | 222 | 0.497984 | 0.490927 | 0 | 37 | 25.837838 | 47 |
TKhyarn/flappy_unity_api | 2,920,577,769,163 | 8dd117641619382947a46c962849336b3359c824 | f0dad14660be9c32208cbeaeae287504cad11b68 | /run.py | 3de91072667b5c1a96f16d85a74c00e1303bd17c | [] | no_license | https://github.com/TKhyarn/flappy_unity_api | 477d68f075eb6f4e1144fb09506a4718d201b1aa | 3c786b315fe09a3e2a9329a67f6287086165d0cc | refs/heads/master | 2021-08-16T22:53:34.155948 | 2017-11-20T13:27:58 | 2017-11-20T13:27:58 | 110,249,040 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | #!flask/bin/python
from app import app
# not suitable for prod environment
app.run(host='0.0.0.0', debug=True) | UTF-8 | Python | false | false | 110 | py | 5 | run.py | 4 | 0.745455 | 0.709091 | 0 | 4 | 26.75 | 35 |
we333/python_study | 11,381,663,368,173 | 7edc62dd1e5049e3842667052381353ed2050d3e | cf5c2fde7dc38e33457f063b807a728d137bd92e | /sql/__init__.py | 7a2f90013ec1c083a73cbae13ff989b9a2dcc909 | [] | no_license | https://github.com/we333/python_study | bde9b5f5f6953c49fba2588ceafdb31401e612de | a1c4a87c28f545b205d7d3a64393649637ab1f18 | refs/heads/master | 2018-09-10T03:33:54.635543 | 2016-07-17T10:53:57 | 2016-07-17T10:53:57 | 62,631,352 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | #!usr/bin/env python
#_*_ coding:utf-8 _*_
'''
Created on 2016年7月12日
@author: wantone
'''
| UTF-8 | Python | false | false | 108 | py | 39 | __init__.py | 32 | 0.558824 | 0.480392 | 0 | 8 | 10.5 | 21 |
archit-dwevedi/parking_lot | 13,907,104,130,496 | 3f3e328804aff3eb5ee034e8fa65260baca9627f | e33c8af70e79622b0f4818854c13e5e55aaab437 | /parking/managers.py | a91f0d05a24d78e084a31797a37db0e7f2241e17 | [] | no_license | https://github.com/archit-dwevedi/parking_lot | a4f275b147e5cdba2a7cc364e0537815582d2737 | e6b5244ec6740b0b32c67ec2434713dcf0312931 | refs/heads/main | 2023-07-17T05:13:47.097863 | 2021-08-09T13:50:59 | 2021-08-09T13:50:59 | 394,254,205 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | from django.db import models
class ParkingQuerySet(models.QuerySet):
def get_empty_parking_space(self, parking, vechile_type):
from .models import ParkingSpace
return ParkingSpace.objects.filter(
parking=parking,
vechile_type=vechile_type,
parked_car__isnull=Tr... | UTF-8 | Python | false | false | 2,037 | py | 22 | managers.py | 20 | 0.617084 | 0.615611 | 0 | 66 | 29.863636 | 87 |
tzyl/hackerrank-python | 9,783,935,517,607 | 2d483fb7e5ec427defd4b0112eaa2737113c7a59 | 8862efe34f13477aafe388d30e3b8a5fc8bab253 | /week_of_code/30/candy_replenishing_robot.py | a505f80439fd9717a6e06f4686f09ffe22b588f2 | [] | no_license | https://github.com/tzyl/hackerrank-python | 71a80cbd1a0c931e5112e7c0cdb2e339c4e50eb3 | f3f2990de738403bccaedd4005368aa3456b94d3 | refs/heads/master | 2021-05-14T11:32:44.268500 | 2018-01-05T12:49:59 | 2018-01-05T12:49:59 | 116,384,579 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | n, t = input().strip().split(' ')
n, t = [int(n), int(t)]
c = [int(s) for s in input().strip().split()]
candies = n
added = 0
for i in range(t - 1):
candies -= c[i]
if candies < 5:
added += n - candies
candies = n
print(added)
| UTF-8 | Python | false | false | 262 | py | 44 | candy_replenishing_robot.py | 44 | 0.496183 | 0.484733 | 0 | 11 | 21.818182 | 45 |
leocvml/chatBot | 9,594,956,951,913 | fdf963d0fcadf4c018a8720e7e819ac0ef2a9721 | be45b42dae8f1654051fed2187f1dabffaf132cb | /chatbotFinalProject/discriminator.py | 1975fd8724a8b23fae44ac0ff26c4e577ca1b476 | [] | no_license | https://github.com/leocvml/chatBot | a97198e83ecdb59bacd7481d56119ecc6bf548fc | 38863f7fa737e4dfb762d186d215dda75c921955 | refs/heads/master | 2021-07-05T06:04:58.287319 | 2019-01-24T03:12:10 | 2019-01-24T03:12:10 | 131,238,684 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import sys
sys.path.append('..')
import collections
import mxnet as mx
from mxnet import autograd, gluon, init, metric, nd
from mxnet.gluon import loss as gloss, nn, rnn
from mxnet.contrib import text
import os
import random
import zipfile
demo = True
if demo:
with zipfile.ZipFile('data/aclImdb_tiny.z... | UTF-8 | Python | false | false | 6,820 | py | 5 | discriminator.py | 3 | 0.58271 | 0.573587 | 0 | 197 | 31.949239 | 77 |
atlpatchin/bookstore | 8,366,596,340,691 | 60aa8196c85ed44311b592a47e30552a63ac0ace | 50e60e5343561cc660624b6966e52c5d78480a71 | /bookstores/comments/urls.py | 62fb6bb1773bdc9a469dc173b7bdcb4779cbcf98 | [] | no_license | https://github.com/atlpatchin/bookstore | 25917c4b70c706a4d5a2230ec9ed6a0e93a43248 | 7ef2c10af63197a1cf0d66fb1533bbf431a48066 | refs/heads/master | 2020-04-23T21:16:19.343309 | 2019-02-20T06:01:35 | 2019-02-20T06:01:35 | 171,464,859 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null |
from django.conf.urls import url
from cart import views
urlpatterns = [
]
| UTF-8 | Python | false | false | 77 | py | 10 | urls.py | 7 | 0.74026 | 0.74026 | 0 | 6 | 11.666667 | 32 |
Perf-Org-5KRepos/aerial_wildlife_detection | 1,752,346,666,487 | 3757784b54d55727e45c921df668a8e44aa14091 | a5ca5b46535d3db0a9490c9f476db4da755540c7 | /projectCreation/migrate_aide.py | 882d485b92c2d3297fb0c9d4f92604e3653b0b15 | [
"LicenseRef-scancode-generic-cla",
"MIT"
] | permissive | https://github.com/Perf-Org-5KRepos/aerial_wildlife_detection | a6f33d3c64878373dbee7b305ad735e1ec829a78 | 7f9fc9236dd89b9ff73902e7001b5fd40d428971 | refs/heads/master | 2022-10-19T16:38:20.584294 | 2020-06-08T17:41:29 | 2020-06-08T17:41:29 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | '''
Run this file whenever you update AIDE to bring your existing project setup up-to-date
with respect to changes due to newer versions.
2019-20 Benjamin Kellenberger
'''
import os
import argparse
MODIFICATIONS_sql = [
'ALTER TABLE {schema}.annotation ADD COLUMN IF NOT EXISTS meta VARCHAR; ALTE... | UTF-8 | Python | false | false | 2,030 | py | 55 | migrate_aide.py | 39 | 0.713793 | 0.709852 | 0 | 48 | 41.3125 | 171 |
StanfordAHA/lake | 7,610,682,053,653 | 2a85bfdce47b70abdd79d002247bcbd94a1c99e7 | c648f20f35a37f0330cf2cbb0cb58ff99e2dc77f | /run_lake.py | c449dc4f5971558dff857f9163c61faefb339b35 | [
"BSD-3-Clause"
] | permissive | https://github.com/StanfordAHA/lake | 8aeef4d7d627137de96e70fa5dc2c9e27c1158da | 7ba7e047af450545636b669bb368e0cfaf3a2eb4 | refs/heads/master | 2023-09-01T02:39:32.676499 | 2023-08-07T18:25:36 | 2023-08-07T18:25:36 | 199,787,393 | 15 | 2 | BSD-3-Clause | false | 2023-08-29T18:21:26 | 2019-07-31T05:45:32 | 2022-10-13T13:09:43 | 2023-08-29T18:21:26 | 4,235 | 14 | 2 | 18 | Python | false | false | import kratos
from lake.modules.passthru import *
from lake.top.lake_top import *
from lake.modules.sram_stub import *
#lake_top = LakeTop(16)
#lake_top_src = kratos.verilog(lake_top, optimize_passthrough=False)
#print(lake_top_src["LakeTop"])
sramstub = SRAMStub(16, 512)
sramstub_src = kratos.verilog(sramstub, optim... | UTF-8 | Python | false | false | 375 | py | 209 | run_lake.py | 202 | 0.765333 | 0.746667 | 0 | 12 | 30.25 | 68 |
echo9527git/jpress_selenium | 10,333,691,361,336 | 0cf61cda33a3a0f7dcb2ab2a66bcdb64634d7383 | fdd70d7c0b293d66ca88d47ba2a3d2437db051d5 | /util/my_js_utils.py | d6d5c7f1a5dc429c429b1bfb03094486b6e76da0 | [] | no_license | https://github.com/echo9527git/jpress_selenium | aa88c2cf72c606fe65cc697859c96f2ec46987a8 | a7bc4f71520de3fa8754a686f16d0e975b4cf3df | refs/heads/master | 2022-12-08T07:36:56.767594 | 2020-08-31T00:03:56 | 2020-08-31T00:03:56 | 284,938,976 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | from selenium import webdriver
from time import sleep,strftime,localtime,time
import os
def _set_index(index=None):
"""
index判断赋值
:param index:
:return:
"""
if index is None:
index = 0
else:
index = index
return index
def clear(driver: webdriver, css,index=None, describe=... | UTF-8 | Python | false | false | 6,338 | py | 11 | my_js_utils.py | 9 | 0.615517 | 0.611494 | 0 | 195 | 25.774359 | 96 |
miruts-xz/BeXAI | 472,446,420,844 | f98af63fa28b95cc3790a5f7142cfadc77aa96bf | 48e73339e7c99b452dcdeef901ece52be3a7ac57 | /src/method.py | 4bdfb2ecbf1c3439bc3a6b97a3922abdc825decd | [] | no_license | https://github.com/miruts-xz/BeXAI | d154b035384b93a913cc963f4f15650cdccfa5b3 | 8ee51a2befc8b1d65cad17fa006d3014a03ffcaa | refs/heads/master | 2023-06-19T18:27:17.563681 | 2021-07-21T14:00:32 | 2021-07-21T14:00:32 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | # Created by mire on 7/21/21. Copyright 2021, All rights reserved.
import shap
import methods
supported_methods = {
'shap': methods.Shape,
'lime': methods.Lime,
'kernelshap': methods.KernelShap
}
class Explainer:
def __init__(self, name):
assert (name in supported_methods[name].keys(),
... | UTF-8 | Python | false | false | 532 | py | 9 | method.py | 9 | 0.659774 | 0.642857 | 0 | 18 | 28.555556 | 116 |
Meet2147/yt_download | 17,428,977,288,062 | 8665f739effb25f94d6a7ca36a6da44cb0228227 | 8973cce5e27e44c13505f08b69e57dc906d2a0b9 | /app.py | bd62b2eb11659b4a8ee772a676b2583ddac96a78 | [
"MIT"
] | permissive | https://github.com/Meet2147/yt_download | 236557468f0200c454c394193eb8b1c9ded08a1d | 3277a1d682dcb57ca30f268b0e6486762f643f09 | refs/heads/main | 2023-04-30T08:48:23.971366 | 2021-05-09T03:30:30 | 2021-05-09T03:30:30 | 365,654,704 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | from flask import Flask, render_template, request, session, redirect, send_file, url_for
from pytube import YouTube
app = Flask(__name__)
app.config['SECRET_KEY'] = "AlmastYogi"
def download(url):
video = url.streams.first()
filepath = video.download()
return filepath
@app.route("/", methods=['GET', 'PO... | UTF-8 | Python | false | false | 922 | py | 2 | app.py | 1 | 0.631236 | 0.631236 | 0 | 30 | 29.733333 | 88 |
cliftonpalmer/python-diff | 11,647,951,328,977 | aeb6403fb6424bc725671b1a2407adc5583744b2 | c4d3f09408c7bbd46e8e72e063239edc0f0d9c22 | /diff.py | bff8f17954c3013729ff36b7cc9e2690b59e9866 | [] | no_license | https://github.com/cliftonpalmer/python-diff | da6fabd2499f4c70d3b7012b088b5a69bdc0bf01 | 445c4c36b15b35553988c1a8c99790e330511ffc | refs/heads/master | 2020-04-12T12:28:31.423480 | 2019-10-18T01:43:36 | 2019-10-18T01:43:36 | 162,492,760 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | def index_by_newlines(a, sign):
return [ [i, v, sign] for i,v in enumerate(a.split("\n")) ]
def diff(a, b):
# separate left and right into arrays indexed by line
a = index_by_newlines(a, '-')
b = index_by_newlines(b, '+')
# remove matching lines
for va in a[:]:
for vb in b:
... | UTF-8 | Python | false | false | 630 | py | 2 | diff.py | 1 | 0.5 | 0.492063 | 0 | 33 | 18.090909 | 66 |
JayjeetAtGithub/spack | 523,986,051,252 | 4669b07c5b5df14e9a0812549dc24c2162cc2826 | fb2cc597f319380d228fc15c4008760a82203687 | /var/spack/repos/builtin/packages/py-geocube/package.py | 123a8149e46cb1582260f56f466cffcc25657712 | [
"Apache-2.0",
"MIT",
"LicenseRef-scancode-unknown-license-reference",
"BSD-3-Clause",
"LGPL-2.1-only"
] | permissive | https://github.com/JayjeetAtGithub/spack | c41b5debcbe139abb2eab626210505b7f930d637 | 6c2df00443a2cd092446c7d84431ae37e64e4296 | refs/heads/develop | 2023-03-21T02:35:58.391230 | 2022-10-08T22:57:45 | 2022-10-08T22:57:45 | 205,764,532 | 0 | 0 | MIT | true | 2019-09-02T02:44:48 | 2019-09-02T02:44:47 | 2019-07-12T08:48:51 | 2019-07-12T08:48:49 | 15 | 0 | 0 | 0 | null | false | false | # Copyright 2013-2022 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack.package import *
class PyGeocube(PythonPackage):
"""Tool to convert geopandas vector data into rasterized... | UTF-8 | Python | false | false | 1,587 | py | 8,218 | package.py | 6,591 | 0.659735 | 0.550725 | 0 | 34 | 45.676471 | 96 |
creedasaurus/stoopclub_Chat | 7,310,034,383,448 | be14609a6755c502f1b7798f4ede942b793dff64 | 98d7ba89d515f3abd8ad0812d61baf3063a166ba | /hello_stoopers.py | f13c6206a2aaf34ae4ebaf1d01ff03826e990be7 | [] | no_license | https://github.com/creedasaurus/stoopclub_Chat | ff5b6c57d61bb05c59e4bcc360d1c3c272c0a4e9 | 042011b5523170a8d732f4c6e42357acf9cefa07 | refs/heads/master | 2016-08-11T14:56:34.252603 | 2015-11-04T08:16:55 | 2015-11-04T08:16:55 | 45,523,127 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | newNumber = 26
print "Hello Stoop Troopers" | UTF-8 | Python | false | false | 43 | py | 2 | hello_stoopers.py | 1 | 0.790698 | 0.744186 | 0 | 2 | 21 | 28 |
dimonrtm/ml_ | 17,308,718,214,466 | 4629581944a644b721714440da8b32d62a774bc9 | 9f6b2cf2a8a12c3cfa97dabf548973837eaf9043 | /Программирование на Python/Погружение в Python/Задания/Неделя1/Задание1/solution.py | d9c47ef1c8b312b76f425b3f4e98c74bef5688e9 | [] | no_license | https://github.com/dimonrtm/ml_ | 56b242caed4d60d40befb3f5235e43ac40f6a139 | 49e211ec83115bfc90ad44854b7759df31d3de33 | refs/heads/master | 2020-08-31T05:20:43.477108 | 2020-07-04T18:22:21 | 2020-07-04T18:22:21 | 218,602,334 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import sys
digit_string=sys.argv[1]
sum=0
for number in digit_string:
sum+=int(number)
print(sum) | UTF-8 | Python | false | false | 101 | py | 88 | solution.py | 24 | 0.732673 | 0.712871 | 0 | 6 | 16 | 27 |
Plavit/cs50ai | 3,075,196,620,010 | 53f373ae815bff538628576a6b3b332c4ec599ea | 5053e4440b8c31ab65a35497da279399f03cb359 | /Project 2a - Pagerank/pagerank.py | 86ee864b3f2de49b511946ebd9bbdc24bc06a2ba | [] | no_license | https://github.com/Plavit/cs50ai | b8770b86e25774bf9b45abd85a60e90476ca9cf0 | ef1024ee0b36bbceaaebe443915fb0498752221b | refs/heads/master | 2023-02-10T12:12:37.347996 | 2021-01-03T19:12:17 | 2021-01-03T19:12:17 | 323,460,918 | 8 | 1 | null | false | 2021-01-02T11:09:22 | 2020-12-21T22:21:31 | 2021-01-02T11:09:11 | 2021-01-02T11:09:22 | 23,804 | 0 | 0 | 3 | Python | false | false | import copy
import os
import random
import re
import sys
DAMPING = 0.85
SAMPLES = 10000
def main():
if len(sys.argv) != 2:
sys.exit("Usage: python pagerank.py corpus")
corpus = crawl(sys.argv[1])
ranks = sample_pagerank(corpus, DAMPING, SAMPLES)
print(f"PageRank Results from Sampling (n = {SA... | UTF-8 | Python | false | false | 5,690 | py | 7 | pagerank.py | 6 | 0.627592 | 0.618981 | 0 | 173 | 31.890173 | 108 |
yomhub/Tensorflow_research | 4,174,708,258,760 | baf840af748c2230fef4231bff5f47bedaa51311 | de86f9f9dd620212c96fc3bbc28bdbc7432aa237 | /lib/tflib/log_tools.py | 7fc6066e1c69ff10ecfe8c364bac1338fc3ec9fa | [] | no_license | https://github.com/yomhub/Tensorflow_research | 235fa5513abeea64e44291e6705fb136cf108af4 | 2f8102039168ade5481745e4aa59c7e6a0cba59b | refs/heads/master | 2022-11-24T05:08:11.009741 | 2020-06-14T01:21:54 | 2020-06-14T01:21:54 | 280,804,212 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import colors as mcolors
from matplotlib.collections import PolyCollection
from datetime import datetime
from mpl_toolkits.mplot3d import Axes3D
__DEF_LINE_STY = [
'solid', # _____
'dotted', # .......
'dashdot',... | UTF-8 | Python | false | false | 11,644 | py | 31 | log_tools.py | 27 | 0.594297 | 0.575146 | 0 | 384 | 29.325521 | 104 |
luoxuwei/Compiler | 13,572,096,656,598 | e798e369bd133ee0e0a105ffe477eccbf6551d0c | 7588f030cb6f5c2692c14ec3caedf9f11a312cb1 | /pythonvm/test_case/27_test_allocate_instance.py | e44cfaa1d69dcdaaa1380f617f85f94bb2905ad8 | [] | no_license | https://github.com/luoxuwei/Compiler | cceee6af426ba9d9b2f13d22fcf6e06a692953ba | d11da97ab9ef2f1a61d0244d0080c6b3f90fd475 | refs/heads/master | 2022-12-12T12:20:27.988873 | 2022-11-26T16:29:00 | 2022-11-26T16:29:00 | 252,653,543 | 4 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | a = int()
print(a)
b = str()
print(b)
c = list()
print(c)
d = dict()
print(d)
| UTF-8 | Python | false | false | 78 | py | 271 | 27_test_allocate_instance.py | 217 | 0.538462 | 0.538462 | 0 | 8 | 8.75 | 10 |
ajevnisek/FederatedLearning | 10,144,712,802,245 | 857d19b5a0240b13be940fe037d5d78f1c15582f | 5e6895248c79c6f5860e371edb9d325aa26f92f2 | /models/influence.py | 8f0427a4c3780fd17d901050b4d16f2634a05511 | [] | no_license | https://github.com/ajevnisek/FederatedLearning | c613e743ef1368b75e77d0cd69419745e3e40e8e | 6330befb1629a5f652bc1c1fea80f1830aec00a0 | refs/heads/master | 2022-04-13T16:29:10.895522 | 2019-12-21T08:12:05 | 2019-12-21T08:12:05 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import six
import torch
from torch.autograd import grad
from torch.autograd import Variable
import torch.nn.functional as F
from models import utility
import argparse
import copy
import numpy as np
from utils.options import args_parser
import pickle
from torch.utils import data
from torch.utils.data impor... | UTF-8 | Python | false | false | 1,987 | py | 13 | influence.py | 12 | 0.65224 | 0.6462 | 0 | 48 | 39.354167 | 125 |
codingpurush/class11python | 6,021,544,187,161 | a2103a25913f074a8715c7f50b2ad8ef97d51033 | 48eb7ce8a065e4b851bd0eefa70d14a91af2d800 | /fibonnacci_Nth.py | d5bd0b8fee5516792da25fb3758d5c0627f14282 | [] | no_license | https://github.com/codingpurush/class11python | c67d03048684e1cf4e28e4d7c0708abe31bf0f5d | 66255e7ba597eb369bea920deb901875b19a8613 | refs/heads/master | 2020-12-29T06:10:17.134618 | 2020-02-06T13:15:24 | 2020-02-06T13:15:24 | 238,485,561 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | #PRINT Nth FIBONACCI NUMBER
x=int(input())
a=-1
b=1
c=a+b
for i in range(2,x+1):
#print(c)
a=b
b=c
c=a+b
if(i==x):
print(c)
| UTF-8 | Python | false | false | 129 | py | 10 | fibonnacci_Nth.py | 10 | 0.589147 | 0.55814 | 0 | 12 | 9.75 | 27 |
marikapartyka/lungs | 3,083,786,523,044 | 77ff5618a1d32611022a7c2d0cc659d3b34d89e4 | 1c4c31e86e4b9f92d558722d04d9f436e4b078ef | /explain.py | fff593ead9d3586c5e0b2aa59c022f8ce22999a8 | [] | no_license | https://github.com/marikapartyka/lungs | fc2b2213cb6033c23327ae686e65a3e12735f609 | 6589b1a606d0a0b5ec0966e1bef87dec0a15f7fc | refs/heads/master | 2023-01-09T14:31:12.279023 | 2020-11-11T19:17:07 | 2020-11-11T19:17:07 | 312,063,687 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | #!/usr/bin/env python
# coding: utf-8
from _train import data, X, y, pipeline, pipeline_for_encoded_data,encoded_X
import pandas as pd
import sklearn
import numpy as np
from lime import lime_tabular
import dalex as dx
model = pipeline
X_train, X_test, y_train, y_test = sklearn.model_selection.train_test_split(... | UTF-8 | Python | false | false | 3,170 | py | 9 | explain.py | 4 | 0.623659 | 0.613249 | 0 | 111 | 27.495495 | 101 |
Alpine-DAV/ascent | 17,669,495,464,138 | a3aed1e909ae3a9ef53150b14bb9af503f9c5445 | 5de7df0be411b4bad61f927cae845bdb8223308f | /src/examples/tutorial/ascent_intro/python/conduit_example2.py | cfd0910e805659a8284114c8ba8d540e08153dec | [
"BSD-3-Clause",
"Zlib"
] | permissive | https://github.com/Alpine-DAV/ascent | cb40429167a93c62f78fe650a0121258be279162 | e52b7bb8c9fd131f2fd49edf58037cc5ef77a166 | refs/heads/develop | 2023-09-06T07:57:11.558238 | 2023-08-25T16:05:31 | 2023-08-25T16:05:31 | 81,366,855 | 151 | 61 | NOASSERTION | false | 2023-09-13T19:31:09 | 2017-02-08T19:21:22 | 2023-09-10T23:54:29 | 2023-09-13T19:31:09 | 111,927 | 155 | 58 | 166 | C++ | false | false | ###############################################################################
# Copyright (c) Lawrence Livermore National Security, LLC and other Ascent
# Project developers. See top-level LICENSE AND COPYRIGHT files for dates and
# other details. No copyright assignment is required to contribute to Ascent.
#########... | UTF-8 | Python | false | false | 551 | py | 1,345 | conduit_example2.py | 1,035 | 0.540835 | 0.528131 | 0 | 15 | 35.666667 | 79 |
enverygtlr/simple-Ray-tracer-in-webgl | 12,756,052,870,415 | c85bb8a7144c6d363bdadc2d288269339a40cee1 | d5c10a5e222e5e6bee50d6d296e129986384ea02 | /new/untitled folder/untitled folder/pythonscript.py | 13e65853240c0a99cbbd02df3d18bfde1c97b337 | [] | no_license | https://github.com/enverygtlr/simple-Ray-tracer-in-webgl | 37c48210e3a7e4e6de52d3bc25c62836ec2e06b6 | 5604e3910954d91c1cf2c9db22e9bda1c8162fbc | refs/heads/master | 2023-02-24T15:58:39.122964 | 2021-01-27T11:49:07 | 2021-01-27T11:49:07 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | def genPairs(n):
for i in range(0, n):
for j in range(i+1, n):
yield (i, j)
for p in genPairs(5):
print(p) | UTF-8 | Python | false | false | 135 | py | 8 | pythonscript.py | 5 | 0.496296 | 0.474074 | 0 | 6 | 21.5 | 31 |
williamy1996/AutoExpression | 6,777,458,418,199 | 022def6b9f8db5e3774a404aab43580159ac681f | aa0bdafb61b8ea16e21daf4f9bfc2d87044eb57e | /solnml/utils/saveloadmodel.py | 6344380279173b2bbbc26da96dfa9e85fa5d2018 | [
"MIT"
] | permissive | https://github.com/williamy1996/AutoExpression | c32b5105aa9ba71d14269d04745b5fbf8e75c646 | b470d9ff67074c8b076abbc1dce359db9a36f921 | refs/heads/master | 2022-12-14T20:22:37.529136 | 2020-09-03T10:04:10 | 2020-09-03T10:04:10 | 292,527,971 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import argparse
import os
import sys
import time
import pickle
import numpy as np
import pandas as pd
import json
import pickle as pkl
from sklearn.datasets import load_iris
from sklearn.metrics import balanced_accuracy_score
from sklearn.model_selection import train_test_split
from solnml.utils.data_manager import Dat... | UTF-8 | Python | false | false | 13,740 | py | 70 | saveloadmodel.py | 33 | 0.537918 | 0.533479 | 0 | 364 | 36.747253 | 90 |
feifeizhuge/data-analysis-with-pandas | 11,312,943,899,243 | 9b85704fc7c624610cf97ca1a5b987e935cf05b8 | d8e1421132868213806326dba7001f3aea6e8a51 | /data-cleaning/data_load_bus.py | 0cb760e05747c08c6b79808c17c617806a75b479 | [] | no_license | https://github.com/feifeizhuge/data-analysis-with-pandas | 28d0eacf9ab249e7a24fec148ccbc3de7e5e7257 | 952fb7946a4525c40016b27c6ad013a30c3458bd | refs/heads/master | 2020-06-14T18:57:31.014431 | 2019-09-22T18:49:29 | 2019-09-22T18:49:29 | 195,094,370 | 3 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon May 6 20:18:30 2019
@author: hechen
"""
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import os
current_path = os.path.dirname(__file__)
csv_path = current_path + '/2016_02_10_0000_1687_export.csv'
Data = pd.read_csv(csv_path... | UTF-8 | Python | false | false | 4,958 | py | 3 | data_load_bus.py | 2 | 0.614918 | 0.567415 | 0 | 131 | 36.732824 | 78 |
huyanhai/spider-music | 6,906,307,414,796 | ba43709f4da2e19307b3ba604caaeb92b52b38ba | 42fb81f32a776809079aa343e4dd7d521b1998b0 | /sider_scrapy/spiders/music.py | c8ceb5fc3d5d4892b9da50491bb83772320901fc | [] | no_license | https://github.com/huyanhai/spider-music | 8849d1ebbc4060219ad70fde2268d00c55330a4b | cfc87b6daadfc9ecc238e835e1f1079fa866d94d | refs/heads/master | 2020-06-28T09:28:09.290872 | 2019-08-05T08:57:16 | 2019-08-05T08:57:16 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | # -*- coding: utf-8 -*-
import scrapy
import requests
import json
from scrapy.linkextractors import LinkExtractor
from scrapy.spiders import CrawlSpider, Rule
from sider_scrapy.items import QqmusicItem
class MusicSpider(CrawlSpider):
name = 'music'
allowed_domains = ['y.qq.com']
start_urls = ['https://y.q... | UTF-8 | Python | false | false | 4,734 | py | 8 | music.py | 6 | 0.556809 | 0.521702 | 0 | 99 | 46.484848 | 383 |
Dituohgasirre/python | 9,698,036,202,454 | 346616db94cff25f16ee05ffd974b5924403425e | 8e7a2b9efbc0d25111f01f4cddb781961032685a | /python-1025/python/1_base_syntax/homework.py | 56368582436dac9d44afcfe1e4ce98f4cc01c885 | [] | no_license | https://github.com/Dituohgasirre/python | e044aa2e1fb2233b6ccd59701b834ab01e4e24c2 | 05f036d2723f75cd89e4412aaed7ee0ba5d3a502 | refs/heads/master | 2023-06-03T13:50:18.641433 | 2021-06-17T10:23:40 | 2021-06-17T10:23:40 | 366,942,423 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | #!/usr/bin/env python3
import kyo
import menu
def ball(index, args):
"""
一个袋子里有3个红球, 3个绿球,6个黄球, 一次从袋子里取6个球
列出所有可能的颜色组合
"""
r = 0
y = 0
while r < 4:
g = 0
while g < 4:
y = 6 - r - g
print("红球: %d, 绿球: %d, 黄球: %d" % (r, g, y))
g += 1
... | UTF-8 | Python | false | false | 3,271 | py | 347 | homework.py | 244 | 0.501279 | 0.465839 | 0 | 108 | 24.333333 | 81 |
iluoxw/OurServer | 9,938,554,340,682 | a511da40c36be7c0eff00be83b3c64be0c43be17 | 2ced9f032b61792d81aced126dfeb1d40eeb065e | /User/migrations/0001_initial.py | bdf95fc8d9e65dcad2418f1dafc2004765c6de32 | [] | no_license | https://github.com/iluoxw/OurServer | c35e2d334df86f278156a2f32479caf353ad1646 | a3a76f1c8b61bd81c9a64774d7b0c3717755c9cb | refs/heads/master | 2020-05-21T03:48:50.868345 | 2017-03-10T14:28:10 | 2017-03-10T14:28:10 | 84,567,482 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
]
operations = [
migrations.CreateModel(
name='Group',
fields=[
('id', models.AutoField(verbos... | UTF-8 | Python | false | false | 2,614 | py | 4 | 0001_initial.py | 3 | 0.521423 | 0.51492 | 0 | 67 | 38.014925 | 114 |
ygzylmz/theNextTrace | 9,105,330,692,341 | d6f7ae3fbb5de7652b1d1a67ef23609644c0b94c | 7447ddef42bb3dc859a48d8a05e7b4f0832ecb55 | /blog/migrations/0025_auto_20201014_1845.py | 306cd6472ae4cc678c76a93f84e27e1063f8aa4d | [] | no_license | https://github.com/ygzylmz/theNextTrace | f72feca5402b203afea91a3fe8d719d2e1ed9744 | f46efcb9575c83d865ee6b841943ea0292a1f094 | refs/heads/master | 2022-12-31T11:36:35.116518 | 2020-10-22T14:20:44 | 2020-10-22T14:20:44 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.10 on 2020-10-14 18:45
from __future__ import unicode_literals
import ckeditor.fields
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('blog', '0024_auto_20200914_1043'),
]
operations = [
migrations... | UTF-8 | Python | false | false | 1,137 | py | 22 | 0025_auto_20201014_1845.py | 17 | 0.599294 | 0.553398 | 0 | 36 | 30.472222 | 100 |
arnabs542/Leetcode-38 | 16,080,357,596,918 | dcf8bd6b88034b5eb09ab3480fa86aaddcdd933d | c6ec292a52ea54499a35a7ec7bc042a9fd56b1aa | /Python/90.py | 06ec0bed0222cb95586ce2e133a8a11258bb8a3d | [] | no_license | https://github.com/arnabs542/Leetcode-38 | ad585353d569d863613e90edb82ea80097e9ca6c | b75b06fa1551f5e4d8a559ef64e1ac29db79c083 | refs/heads/master | 2023-02-01T01:18:45.851097 | 2020-12-19T03:46:26 | 2020-12-19T03:46:26 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | class Solution:
def subsetsWithDup(self, nums: List[int]) -> List[List[int]]:
nums.sort()
self.results = []
visited = [False] * len(nums)
self.dfs(nums, visited, [], 0)
return self.results
def dfs(self, nums, visited, prev, start):
self.results.append(pre... | UTF-8 | Python | false | false | 658 | py | 364 | 90.py | 362 | 0.484802 | 0.477204 | 0 | 19 | 32.947368 | 71 |
nusaibsqli/TCPShell | 13,176,959,697,811 | a73239e6da0227a91cf3eff6380aa0454122ad18 | c31ba668f35095075186b3bfd9250c97a6b2d80c | /generate_password.py | d0cc6b91394f2b210eabb78f2a849429109b1e54 | [] | no_license | https://github.com/nusaibsqli/TCPShell | 1e765b04cc740e92483784c0c6d4d9e659cc6047 | 9a15b36d0cceac6d46580058003b7093842ca705 | refs/heads/master | 2021-09-15T12:50:22.202323 | 2018-06-02T01:47:50 | 2018-06-02T01:47:50 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null |
clrPasswd = raw_input("Enter Password: ")
encPasswd = ''
for char in clrPasswd:
_tmp = (ord(char) << 1) | (ord(char) >> 7)
#print _tmp
encPasswd += chr(_tmp)
encPasswd = '\\x' + '\\x'.join(x.encode('hex') for x in encPasswd)
print encPasswd
| UTF-8 | Python | false | false | 248 | py | 5 | generate_password.py | 1 | 0.616935 | 0.608871 | 0.008065 | 11 | 21.454545 | 66 |
shuuki4/MachineLearningInAction | 5,291,399,734,393 | 45f5f8dba6fe2d64b122628bc792e21bdfd6773a | 661399426fed233f508430a211cc952339faa7da | /ID3DecisionTree+TreePlot.py | b189a01efc1334020afbd111c5b3ebcf889d750f | [] | no_license | https://github.com/shuuki4/MachineLearningInAction | 1dd1776ae962c0a8e28bb0115e72d369e30f0bbd | 6d539aa099593d555fd704f9707b9bdb24274fd5 | refs/heads/master | 2021-03-12T22:55:02.952965 | 2015-09-13T16:13:44 | 2015-09-13T16:13:44 | 42,063,251 | 0 | 1 | null | null | null | null | null | null | null | null | null | null | null | null | null |
## This code generates an ID3 Decision Tree and plot this tree by matplotlib ##
## TreePlotting Codes are from text, rest by YuKiSa ##
from numpy import *
import matplotlib.pyplot as plt
from math import log
## Tree Plot Section ##
## tree plot codes are from MLinA text ##
## @author : Peter Harington ##
decisionNo... | UTF-8 | Python | false | false | 5,965 | py | 4 | ID3DecisionTree+TreePlot.py | 4 | 0.692037 | 0.675105 | 0 | 160 | 36.28125 | 122 |
enadol/bundesliga-visual | 8,237,747,287,291 | c3ea216b82df004e44e69c4443d47682009dc68b | d13b8d97fee668ecfbeab20c446f319c6bad9266 | /provisionaales/bljson-puntos.py | 3f0125ebfdb095491bef33725ad202b7ebad3bd3 | [] | no_license | https://github.com/enadol/bundesliga-visual | 6fb3e8ad6c62ddb1e34679c773151ba28e4977bd | 2bfbd397b1139ed2b7cd7bcefb22d3fc65c1fb9f | refs/heads/master | 2016-09-14T04:51:14.652863 | 2016-05-07T18:49:00 | 2016-05-07T18:49:00 | 58,158,705 | 0 | 0 | null | false | 2016-05-07T18:49:01 | 2016-05-05T20:30:29 | 2016-05-05T20:30:42 | 2016-05-07T18:49:00 | 406 | 0 | 0 | 0 | Python | null | null | import urllib
import json
url="2015-2016/bl.json"
uh=urllib.urlopen(url)
data=uh.read()
js=json.loads(data)
i=0
ganador=None
perdedor=None
puntoslocal=0
puntosvisitante=0
sumavisitante=0
puntos=0
sumalocal=0
def getPuntos(equipo, afavor, encontra):
puntos=0
if afavor > encontra:
puntos=3
ganador=equipo
per... | UTF-8 | Python | false | false | 1,894 | py | 21 | bljson-puntos.py | 15 | 0.73083 | 0.713908 | 0 | 75 | 24.213333 | 104 |
fooofei/py_pieces | 13,340,168,465,165 | 170095026f051f3389e0ae50f053e64eedf17158 | e132739824d2e13eeed79975603133e58e5f4027 | /iterator_itertools_tee.py | 557b460597c56a8232667d3483020064068fe866 | [] | no_license | https://github.com/fooofei/py_pieces | 929274ef5415b89d175c38b8cf92ab13db6cbc6a | 264b2fdb203132d09398250b2b509f23285e4add | refs/heads/master | 2021-01-23T19:12:16.586391 | 2021-01-11T03:10:57 | 2021-01-11T03:10:57 | 83,008,648 | 2 | 1 | null | null | null | null | null | null | null | null | null | null | null | null | null | # coding=utf-8
'''
use itertools.tee to copy an generator
适合多个 iterator 步差不大的, <10 的
1 生成两个 generator 但是实例并没有增加
2 两个 generator 持有同一份实例的引用 在一个 generator 中修改了一个实例 另一个 generator 也会受到修改影响
3 官方警告使用 itertools.tee 分裂之后 母 generator 不再使用 https://docs.python.org/2/library/itertools.html
4 官方建议 如果其中 1 个... | UTF-8 | Python | false | false | 2,300 | py | 77 | iterator_itertools_tee.py | 70 | 0.565403 | 0.54455 | 0 | 96 | 20.979167 | 97 |
kopok2/PythonCourse | 16,381,005,306,576 | ccc7cce39e26b05570e878851b951747a8aae00f | cdf2e3236e93ab33660cd7dc48e10ca8978ae9c3 | /Lecture9/python_dynamics.py | 58f42539fab0365fc8a7fc31ec09f40bc39ad01d | [
"MIT"
] | permissive | https://github.com/kopok2/PythonCourse | ef163250a31e23c4815d6073c2059db994ddd35a | f741b17adaa7290380e83408ed24100127837ad7 | refs/heads/master | 2021-07-08T05:12:48.356642 | 2020-11-30T09:24:01 | 2020-11-30T09:24:01 | 215,096,810 | 3 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | # coding=utf-8
"""
Module aimed to demonstrate dynamic nature of Python's code.
"""
import datetime
class Lecture:
def __init__(self, no):
self.no = no
if datetime.datetime.now().hour > 14:
def __str__(self):
return f"Lecture {self.no} has finished."
else:
def __str__... | UTF-8 | Python | false | false | 444 | py | 33 | python_dynamics.py | 14 | 0.554054 | 0.540541 | 0 | 23 | 18.304348 | 60 |
inverseTrig/leet_code | 4,879,082,853,432 | 16e79eda9fde0b41ee55610ed21aac070c5db946 | eba1bc6c853cf92a002eb3cf7a4ff71507fd1072 | /202_happy_number.py | 47181a54a3d22469308f66df3c740b190867d87f | [] | no_license | https://github.com/inverseTrig/leet_code | ab3b155d4ec581684be5ae0413c49d94492cbe1b | 213a221f1577dd3346da794ef73e802af803d58b | refs/heads/master | 2021-12-21T11:30:09.755104 | 2021-12-16T04:46:10 | 2021-12-16T04:46:10 | 86,788,182 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | class Solution:
def isHappy(self, n: int) -> bool:
seen = set()
while n != 1:
nstr = str(n)
nxt = 0
for each in nstr:
nxt += int(each) ** 2
n = nxt
if n in seen:
return False
else:
... | UTF-8 | Python | false | false | 423 | py | 168 | 202_happy_number.py | 168 | 0.41844 | 0.404255 | 0 | 21 | 19.142857 | 38 |
coralhalperin/slides | 14,388,140,491,208 | 2dbc17fbe59e00939c708c65ab0e6c73f7e9655f | 2120db28dbe55b8a9185ae8aa42a769985491996 | /python/examples/lists/master_mind.py | 7286bcf73ed3ebe72aa9feed42b8c8b66d710cf2 | [] | no_license | https://github.com/coralhalperin/slides | 7b149cb61840eb1724cb1571bba2503b19278780 | 0c83e1d1e771c9d4b110542b2ad64bbc6bd7b81a | refs/heads/main | 2023-01-04T14:02:11.406990 | 2020-10-25T06:20:07 | 2020-10-25T06:20:07 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import random
width = 4
USED = '_'
hidden = random.sample(range(10), width)
# print(hidden)
while True:
# print(hidden)
inp = input("your guess ({} digits):".format(width))
if inp == 'x':
print("Bye")
exit()
if len(inp) != width:
print("We need exactly {} characters".format(... | UTF-8 | Python | false | false | 1,032 | py | 67 | master_mind.py | 23 | 0.492248 | 0.489341 | 0 | 48 | 20.5 | 60 |
ethz-asl/libpointmatcher | 25,769,818,495 | cca6a31e8b02ebcb47f04d09058d5b8c95ad29a6 | e7d1531b4b0bcecb4fb436cafbb8a3fe363c02c7 | /examples/python/icp_simple.py | b68367dd3c6c06bcd351b02d1a07d5b2ad014775 | [
"BSD-3-Clause"
] | permissive | https://github.com/ethz-asl/libpointmatcher | 91d9c63f285964da00a9d95bf906adc832ffa44c | 3ace94a6959137d8d6a9a7278bf2644ffdcf73d3 | refs/heads/master | 2023-09-02T20:24:16.436314 | 2023-08-11T21:52:32 | 2023-08-11T21:52:32 | 1,266,625 | 1,446 | 567 | BSD-3-Clause | false | 2023-08-13T21:00:25 | 2011-01-18T10:00:28 | 2023-08-11T11:22:40 | 2023-08-13T21:00:23 | 19,865 | 1,413 | 522 | 84 | C++ | false | false | # Code example for ICP taking 2 points clouds (2D or 3D) relatively close
# and computing the transformation between them.
from pypointmatcher import pointmatcher as pm
PM = pm.PointMatcher
DP = PM.DataPoints
# Path of output directory (default: tests/icp_simple/)
# The output directory must already exist
# Leave em... | UTF-8 | Python | false | false | 1,514 | py | 341 | icp_simple.py | 276 | 0.703435 | 0.690885 | 0 | 49 | 29.897959 | 87 |
rajesh305k/python_programs_9.26.2021 | 6,356,551,600,791 | a188758b8312f16373e6a2a307a85a76918d9d60 | d97e1acb6450c6303b44c0c3a4b8142eb0c79cae | /Ram/Assignment/Day4/assignment1.py | a556229f06ed4e85e3557eb912caa41e2b89593c | [] | no_license | https://github.com/rajesh305k/python_programs_9.26.2021 | 58e63e6ff5b5a83436e75f5e2ee52c8570ee9df0 | 61a69cd1e9ec0d91a36d1cb5501db11c0d017778 | refs/heads/main | 2023-08-24T08:11:14.789908 | 2021-10-30T04:47:44 | 2021-10-30T04:47:44 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | amount=int(input("Enter amount :"))
# 1.Write a program to find credited amount,balance using **if else and operators.**
# Note:variables:**amount,balance,credited_amount**,
# Formula: **credited_amount=amount**,**balance+=credited_amount**,
# **amount** should be greater than zero
balance=10000
if(amount!=0):
... | UTF-8 | Python | false | false | 781 | py | 66 | assignment1.py | 63 | 0.654289 | 0.644046 | 0 | 22 | 34.5 | 84 |
angkoonhian/hacknroll2021 | 11,364,483,487,053 | 04dbcd3eaf50637768a9fb6058d2c5a79c13cc87 | d27f3f6340e4124d9949d7d53b41e9e02296e75b | /word_generator.py | b8f45d921f64bf2671d82f671c211d86025f7f39 | [] | no_license | https://github.com/angkoonhian/hacknroll2021 | 60f683b52c1478215a6a613e32abb6b8fbd36b7c | 9f1da6503cd7b5872f11e8e4cbc3c4d7f001c20c | refs/heads/main | 2023-02-17T07:13:27.781828 | 2021-01-09T03:01:10 | 2021-01-09T03:01:10 | 325,207,862 | 0 | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | from transformers import GPT2Tokenizer
from transformers import TFGPT2Model, TFGPT2LMHeadModel
import tensorflow as tf
import numpy as np
import os
#Install the GPT-2 model/tokenizer and load it into memory
def load_model_tokenizer_GPT2():
"""
Loads GPT-2 model from local memory. Replace with gpt2
"""
... | UTF-8 | Python | false | false | 1,601 | py | 7 | word_generator.py | 5 | 0.697064 | 0.687695 | 0 | 41 | 38.04878 | 76 |
taketakeyyy/atcoder | 575,525,663,496 | e37ac520ca730519e598c9c6f44b622a8e8b2558 | 66213c48da0b752dc6c350789935fe2b2b9ef5ca | /abc/170/b.py | 07d4688555b7b28318e0c248936b34546fadd460 | [] | no_license | https://github.com/taketakeyyy/atcoder | 28c58ae52606ba85852687f9e726581ab2539b91 | a57067be27b27db3fee008cbcfe639f5309103cc | refs/heads/master | 2023-09-04T16:53:55.172945 | 2023-09-04T07:25:59 | 2023-09-04T07:25:59 | 123,848,306 | 0 | 0 | null | false | 2019-04-21T07:39:45 | 2018-03-05T01:37:20 | 2019-04-20T14:48:39 | 2019-04-21T07:39:44 | 193 | 0 | 0 | 0 | Python | false | false | # -*- coding:utf-8 -*-
def solve():
X, Y = list(map(int, input().split()))
for kame in range(0, X+1):
turu = X - kame
if kame*4 + turu*2 == Y:
print("Yes")
return
print("No")
if __name__ == "__main__":
solve()
| UTF-8 | Python | false | false | 271 | py | 1,957 | b.py | 1,170 | 0.424354 | 0.405904 | 0 | 16 | 15.9375 | 42 |
gustcomer/pynnystock_analyser | 15,779,709,874,271 | 369ce2c1c917a98a99ef9ade3c47ad2e98691d81 | c68506d19ffdc22032a17dd97c5aff23bc7e1301 | /pynnystock/strategies/stophighpre/ParametersSHP.py | d290a92660f363b3ffa56034fd0288f106b00982 | [] | no_license | https://github.com/gustcomer/pynnystock_analyser | a31c0cfb3f75fdffa8cf4fa98c717f20e4525b89 | 5ffacae8db1ee21dcc491317554ae469ad82233a | refs/heads/master | 2023-03-22T01:39:35.920679 | 2021-03-12T20:54:03 | 2021-03-12T20:54:03 | 324,470,954 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | from ...Parameters import Parameters
class ParametersSHP(Parameters):
def __init__(self):
super().__init__() # inicializa tudo mas algumas variaveis da super vão ficar de fora. Bad software engineering practice
# repetimos a declaração de alguns parâmetros só pra enfatizar. Bad practice.
self.short_after = 0... | UTF-8 | Python | false | false | 1,527 | py | 49 | ParametersSHP.py | 32 | 0.648258 | 0.636423 | 0 | 46 | 32.086957 | 122 |
chitakeo/Nagayama_2019 | 3,238,405,389,670 | 88e51b77d5fd511bc52c2f9fb042fe57b1be7ade | cc9a8298c4ce507d092c4bc83fd3659ea37a519d | /cat/cat4.py | d16914357d74f76b970d3de42e04a22b76dd8b0e | [] | no_license | https://github.com/chitakeo/Nagayama_2019 | 2d86eed47aeceb536aebc893b1bc0f14feab9799 | 29bd6316a73ed1da2c3967db689d81beec6bcbae | refs/heads/master | 2020-12-28T01:46:48.511229 | 2020-02-16T13:58:16 | 2020-02-16T13:58:16 | 238,141,590 | 0 | 0 | null | false | 2020-02-16T13:58:17 | 2020-02-04T06:46:53 | 2020-02-16T09:38:13 | 2020-02-16T13:58:16 | 31,374 | 0 | 0 | 0 | Python | false | false | import numpy as np
import cv2
import os
from matplotlib import pyplot as plt
kan_file_path = '../save/fe.jpg' #完成図保存のファイルパス&ファイル名
mach_file_path = '../save/zikken.jpg' #マッチング結果保存のファイルパス&ファイル名
pazu_file_path = '../pazu/kousiki.png' #パズルのファイルパス&ファイル名
pice_file_path = '../pazu' #ピースのファイルパス&ファイル名
pice = ['/rt.pn... | UTF-8 | Python | false | false | 4,345 | py | 7 | cat4.py | 6 | 0.63109 | 0.55272 | 0 | 158 | 23.556962 | 72 |
WillNye/duolingo_x | 8,761,733,285,529 | 004d1ccd7375c327d089998c19e25b353ba201c9 | 7ea6d43d98813d9839f3a32e136ca04933922737 | /training/models.py | f6c449e19cd157838fb18952520d0f1452f6a4a8 | [] | no_license | https://github.com/WillNye/duolingo_x | d5e60749acc7e75fa0aca9994cc9ad83695dd211 | 923f38de89c60e0f8c945df4a13b360c1369f960 | refs/heads/master | 2021-01-13T13:04:21.456410 | 2017-01-14T03:01:05 | 2017-01-14T03:01:05 | 78,687,778 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | from django.db import models
from django.contrib.auth.models import User
from datetime import datetime as dt
class Language(models.Model):
name = models.CharField(max_length=250, null=False)
audio_base = models.CharField(max_length=250, null=False)
def __str__(self):
return self.name
class Phr... | UTF-8 | Python | false | false | 1,205 | py | 7 | models.py | 5 | 0.685477 | 0.672199 | 0 | 37 | 31.540541 | 70 |
daniel-l-merhi/Python-and-ROS-Coursework | 14,259,291,435,794 | b4f792aad8b88d7cd9b93f0b552da2b2bc259752 | 5508e79fb43398f0622d0df986354f530fe6032c | /Python for Robotics/robot_control/get_laser_method.py | 1e4af28b341ce1452c0b3f24c7c2b8ee7d520468 | [] | no_license | https://github.com/daniel-l-merhi/Python-and-ROS-Coursework | 14ac226379da6e8a9a0319244166e7a712df7f88 | bc9956b264f5388184c0388d7106d89c162d718b | refs/heads/main | 2023-08-06T12:51:35.236840 | 2021-10-09T02:25:00 | 2021-10-09T02:25:00 | 415,173,258 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | from robot_control_class import RobotControl
rc = RobotControl(robot_name="summit")
def return_laser(a, b, c):
laser_list = [rc.get_laser_summit(a), rc.get_laser_summit(b), rc.get_laser_summit(c)]
return laser_list
l = return_laser(0, 360, 400)
print (l) | UTF-8 | Python | false | false | 267 | py | 43 | get_laser_method.py | 31 | 0.692884 | 0.666667 | 0 | 12 | 21.333333 | 89 |
vigman-xxxw/python-code | 936,302,905,518 | bd629e12fc3d65e0111493f1f9b86c728db02632 | 16d33ca26751e50d518f79bcb8f1c05dd7e79f7b | /二分法.py | 20af27a85f4cb0833f444355126f9c70e5b7a8a2 | [] | no_license | https://github.com/vigman-xxxw/python-code | 6017fac6c7c019384957c63b38ef76b6919726d3 | 004d18576065ba94044659d4b83a361675a0f178 | refs/heads/master | 2023-08-19T01:53:52.624302 | 2021-10-11T09:03:53 | 2021-10-11T09:03:53 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | # 给定数组A 目标值T 查找T在A中位置
def binary_search(arr, key):
start = 0
end = len(arr) - 1
while start <= end:
mid = int((start + end) / 2)
if arr[mid] < key:
start = mid + 1
elif arr[mid] > key:
end = mid - 1
else:
return mid
return -1
list1 =... | UTF-8 | Python | false | false | 413 | py | 66 | 二分法.py | 66 | 0.49354 | 0.459948 | 0 | 19 | 19.315789 | 36 |
MarcoBorsato/AOC2020 | 13,795,434,976,011 | 8c9334e962500e0e8f12851fdd6e0af220e892dc | ec56e52fdb18c80c2a6eda74a66a8e6e6229c6f5 | /AOCday6.py | e958cbfd2d7d764ca9ed32d4b73abbb15a120ee8 | [] | no_license | https://github.com/MarcoBorsato/AOC2020 | 7d3a8896a60e737b574b3a8b0cffe7820228f95f | f813048f233b7833aedd1ebe126b0bd1cd50502c | refs/heads/master | 2023-03-19T16:02:15.871020 | 2021-03-10T22:27:29 | 2021-03-10T22:27:29 | 344,621,179 | 0 | 1 | null | null | null | null | null | null | null | null | null | null | null | null | null | def readInput(input):
data = []
person = []
line = ""
for i in input.readlines():
i = i.strip()
if i == "":
data.append(person)
person = []
else:
person.append(i)
data.append(person)
return data
def countAnswers1(input: list[str]) -> ... | UTF-8 | Python | false | false | 1,023 | py | 7 | AOCday6.py | 7 | 0.482893 | 0.473118 | 0 | 47 | 20.765957 | 50 |
nasawz/wiki.catke | 5,841,155,567,762 | 9cefe78c2e5477a86cc64fbe92e11912f89e6104 | 9933cb7f69b8e13a970901012fa3672120d944a3 | /diy/syncdb.py | 261cc82eba45f63affc579aae1d3ec5f2a9f3fef | [] | no_license | https://github.com/nasawz/wiki.catke | a78689f1e67fd48c134e95276552012f2d4c61dc | 35d43fe9df92d9413f564b40e18028a931a6e652 | refs/heads/master | 2020-02-03T15:21:18.574729 | 2013-02-04T08:36:56 | 2013-02-04T08:36:56 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | # coding=utf-8
'''
同步数据表
@author vfasky@gmail.com
'''
import os
import sys
# 设置系统编码为utf8
reload(sys)
sys.setdefaultencoding('utf8')
# 加入第三方类库搜索路径
sys.path.append(os.path.join(os.path.dirname(__file__), 'modules'))
# 加载程序配置
from wiki import config
# 引入Database
from xcat import Database
# 加载数据库配置
Database.load_... | UTF-8 | Python | false | false | 1,487 | py | 35 | syncdb.py | 24 | 0.566403 | 0.558507 | 0 | 66 | 20.106061 | 89 |
SuhashisAcharya/automation | 7,524,782,746,848 | 24ab24e059f116b78bc9da4dd37522d3be4ba4a0 | 8bb594bed8e458019d828864cbcd548c8d538e5a | /Infrastructure/validation_matrix_server/media_stream_validator/media_stream_validator | 562257f35b581e879f25745a0b2d9b544f58e55a | [] | no_license | https://github.com/SuhashisAcharya/automation | ff1b8e6ffbd573a2c4edd95575627333fefd0128 | db312f4fc168d297fc027298c865aa3e462d5d25 | refs/heads/master | 2020-03-03T00:38:22.010621 | 2016-06-06T05:31:00 | 2016-06-06T05:31:00 | 65,850,723 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
import os,sys
import pexpect
import json
import re
from time import gmtime, strftime
#print len(sys.argv)
#print str(sys.argv)
if ( 6 > len(sys.argv) ):
print 'Insufficient number of commands'
sys.exit(1)
manifest_url=sys.argv[1]
apple_ip=sys.argv[2]
apple_user=sys.a... | UTF-8 | Python | false | false | 8,037 | 134 | media_stream_validator | 79 | 0.59898 | 0.59027 | 0 | 232 | 33.642241 | 128 | |
devesh37/HackerRankProblems | 10,067,403,355,660 | 363e8330029df04f82b127159adf0093172ff0ef | d65f58cb47b308dc7130a4033c5ec1de61d9814f | /Datastructure_HackerRank/Array/arrayRotation.py | 5dd164efb2caa0a39fa9a4d00aa6c25fb74120db | [] | no_license | https://github.com/devesh37/HackerRankProblems | 1b1fee329d2fae31dea524d272d5c1b596e107ed | 8f7cdd1d96c169ea9071ac8e6ea7dff0788d046f | refs/heads/master | 2022-12-22T18:26:46.688790 | 2020-09-23T06:02:44 | 2020-09-23T06:02:44 | 263,381,580 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | #!/bin/python3
import math
import os
import random
import re
import sys
def left_rotation(a,n,r):
array=[0]*n
i=0
while(i<n):
array[(i+n-r)%n]=a[i]
i+=1
for i in array:
print(i,end=' ')
if __name__ == '__main__':
nd = input().split()
n = int(nd[0])
r = int(nd[1]... | UTF-8 | Python | false | false | 396 | py | 25 | arrayRotation.py | 25 | 0.510101 | 0.494949 | 0 | 27 | 13.703704 | 48 |
kss2153/hubspot-mr | 18,262,200,954,009 | 1cd1182d243fc86bb66b4d26f0bdab9fe4c0dfd6 | 441543345b718b43d52704200a7a87d98804bb93 | /src/app/db.py | 1c16b40bf0ff9b37296aaa7bf6e747044491238d | [] | no_license | https://github.com/kss2153/hubspot-mr | eed0a25c936bdca5d4b0c23e5f471e441224d604 | b0b85bff42bf6e6a95c56f85090c5bbb1ff4e15d | refs/heads/master | 2023-05-28T20:42:21.141819 | 2019-09-24T22:19:20 | 2019-09-24T22:19:20 | 210,515,808 | 0 | 0 | null | false | 2023-05-01T20:36:40 | 2019-09-24T05:02:12 | 2020-01-21T15:09:38 | 2023-05-01T20:36:39 | 20,778 | 0 | 0 | 1 | Python | false | false | import os
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
db_user = os.environ.get('CLOUD_SQL_USERNAME')
db_password = os.environ.get('CLOUD_SQL_PASSWORD')
db_name = os.environ.get('CLOUD_SQL_DATABASE_NAME')
db_host = os.environ.get('CLOUD_SQL_HOST')
engine_url = 'mysql+pymysql://{}:{}@{}... | UTF-8 | Python | false | false | 460 | py | 9 | db.py | 6 | 0.734783 | 0.732609 | 0 | 13 | 34.384615 | 89 |
mennthor/tdepps | 13,125,420,065,650 | ccd34e57f587e6658f7ea61f5529d79ca90d2248 | 490cd642d522ab512ab435580ea92bbae789414c | /tdepps/grb/llh.py | c98fafaed6ebb69255406621a5d9adb62ca897a1 | [] | no_license | https://github.com/mennthor/tdepps | c4f86d11e61b99c1e27d6df2a8f013ea8f1c0a78 | 100035f95321506057677806d25f1695cfea58a9 | refs/heads/master | 2021-09-22T21:05:21.801613 | 2018-08-06T09:38:26 | 2018-08-06T09:38:26 | 90,803,720 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | # coding: utf-8
from __future__ import division, absolute_import
import math
import numpy as np
import scipy.optimize as sco
from ..base import BaseLLH, BaseMultiLLH
from ..utils import fill_dict_defaults, all_equal, dict_map
class GRBLLH(BaseLLH):
"""
Stacking GRB LLH
Stacking weights are a-priori fi... | UTF-8 | Python | false | false | 13,802 | py | 31 | llh.py | 21 | 0.511882 | 0.501377 | 0 | 367 | 36.607629 | 80 |
wikimedia/revscoring | 6,253,472,425,015 | 14ee62824c45cdb8434fd97ba4b477677918e0cc | 496b5270078183b3ffc3e9a2eda76e95e18061f1 | /revscoring/features/bytes/revision_oriented.py | 4f426400d21df25c44b62c85dd7c9cafef68fd49 | [
"MIT"
] | permissive | https://github.com/wikimedia/revscoring | 87d0e9e856150b017b87f43e110b2062b4c90f07 | 5a3618e4ce6f93f1e571abf8b3600726d7295138 | refs/heads/master | 2023-08-23T03:48:07.172353 | 2023-01-24T10:58:33 | 2023-01-24T10:58:33 | 23,771,350 | 52 | 34 | MIT | false | 2023-04-17T06:03:24 | 2014-09-07T21:20:37 | 2023-03-02T18:19:49 | 2023-04-17T06:03:20 | 2,424 | 84 | 51 | 19 | Python | false | false | from revscoring.datasources import revision_oriented
from revscoring.dependencies import DependentSet
from ..meta import aggregators
from . import datasources
name = "bytes.revision"
class Revision(DependentSet):
def __init__(self, name, revision_datasources):
super().__init__(name)
self.length... | UTF-8 | Python | false | false | 1,126 | py | 329 | revision_oriented.py | 283 | 0.625222 | 0.625222 | 0 | 38 | 28.631579 | 77 |
diweiqiang/PRIS | 7,464,653,160,914 | 436a03719bf2ba13659b101b5783418a1d3a3b9f | 7576879de06944ab501ef8875ec02aaab15d2e47 | /peris_model.py | b4a7c8d019c2d149cc37f4c173f6fd933584a2c9 | [] | no_license | https://github.com/diweiqiang/PRIS | 4ed89540c4731a4e6b3591410796885b5287c9af | 2e691ac82e6f91ae118c0cbb80aba6d2f337c052 | refs/heads/master | 2022-04-21T10:01:00.071643 | 2020-04-24T04:22:21 | 2020-04-24T04:22:21 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import tensorflow as tf
import time
from utils import Eval
import numpy as np
from sampler import *
from mylayers import RCEncoding, EuclideanDistillation
samplers = [SamplerModel, PopularSamplerModel, ClusterSamplerModel, ClusterPopularSamplerModel, ExactSamplerModel]
class EvaluateCallback(tf.keras.callbacks.Call... | UTF-8 | Python | false | false | 10,439 | py | 9 | peris_model.py | 9 | 0.61117 | 0.603314 | 0 | 187 | 54.828877 | 147 |
ChenBooming/python_pycharm | 15,556,371,563,351 | f592685de3f60acacab1a31453122980c02c750e | f620c09675fc77c91c9c33dcd5533c4c06829da3 | /Python/itchat_test/test.py | cf437d77d5203838e91df5b7cd9b8ce972130d23 | [
"MIT"
] | permissive | https://github.com/ChenBooming/python_pycharm | f47564b987792ba81ad6c7caaa6e1b58416cfd65 | aec59a5411166bc0ac04c872181b2162bcdb6fb8 | refs/heads/master | 2021-01-24T18:05:35.233449 | 2017-03-17T07:43:47 | 2017-03-17T07:43:47 | 84,391,710 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | #coding=utf8
import itchat
# tuling plugin can be get here:
# https://github.com/littlecodersh/EasierLife/tree/master/Plugins/Tuling
from tuling import get_response
@itchat.msg_register('Text')
def text_reply(msg):
if u'作者' in msg['Text'] or u'主人' in msg['Text']:
return u'找陈蒙 421235586@qq.com'
elif u'... | UTF-8 | Python | false | false | 2,607 | py | 9 | test.py | 6 | 0.633527 | 0.623272 | 0 | 55 | 39.763636 | 162 |
prathipc/Financials | 14,972,256,043,247 | b5b8fced447b989b185fd4113d1a8d4f7141ccdf | 705502038a7774fb378e289b83070fc54ab71653 | /lograthamic_RateofReturn.py | f2d421e605957938555b888b9a6dd0ee02f5f2c7 | [
"CC0-1.0"
] | permissive | https://github.com/prathipc/Financials | b1d6516da24399b30057d1cfc5e863c7252a65c2 | 1814e08e2cccec65f60559109d2e0305175cba51 | refs/heads/master | 2020-12-05T02:58:20.573138 | 2020-01-06T01:21:35 | 2020-01-06T01:21:35 | 231,989,742 | 1 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import matplotlib.pyplot as plt
import numpy as np
from pandas_datareader import data as wb
STCK = wb.DataReader('VFINX', data_source='yahoo', start='2019-1-1')
STCK['log_return'] = np.log(STCK['Adj Close'] / STCK['Adj Close'].shift(1))
print (STCK)
#print(STCK['log_return'])
STCK['log_return'].plot(figsize = (8,5))
... | UTF-8 | Python | false | false | 586 | py | 4 | lograthamic_RateofReturn.py | 4 | 0.6843 | 0.646758 | 0 | 15 | 38.133333 | 104 |
jodal/pyspotify | 8,658,654,085,848 | 0a1332c776b3a9d9b6e0ccd56def198022ff0219 | 66b7a2fb1c573d8c26bcccd7b54b950dc13bd69c | /spotify/session.py | 7b7478b1dd61308f23adb898b40983647382e211 | [
"Apache-2.0"
] | permissive | https://github.com/jodal/pyspotify | 020b12e486239414c25cdf7408471a4bcbadb182 | 575e0cbd6dfeee0b2e22a6c1d8b4ff3a14bb129a | refs/heads/master | 2023-08-25T05:36:09.958002 | 2022-06-15T14:30:36 | 2022-06-15T14:30:36 | 1,103,479 | 62 | 13 | Apache-2.0 | false | 2022-06-14T21:53:00 | 2010-11-22T20:31:34 | 2022-06-10T19:54:00 | 2022-06-14T21:53:00 | 14,517 | 518 | 94 | 11 | Python | false | false | from __future__ import unicode_literals
import logging
import warnings
import weakref
import spotify
import spotify.connection
import spotify.player
import spotify.social
from spotify import ffi, lib, serialized, utils
__all__ = ["Session", "SessionEvent"]
logger = logging.getLogger(__name__)
class Session(utils.... | UTF-8 | Python | false | false | 42,852 | py | 105 | session.py | 66 | 0.623798 | 0.618408 | 0 | 1,238 | 33.613893 | 88 |
luyaochi/mycrawlerlib | 11,029,476,030,572 | 6c63b735a9e89da448ea2960869c6f1eaae08bb1 | 9164d01a4482936816be74f3fc87c49612f6c303 | /frontier.py | 5403d01af3d4941f9e23d7a586281d16c2c54574 | [] | no_license | https://github.com/luyaochi/mycrawlerlib | e70a0ab2b2398f18039698412959a70cd7ecd395 | 11438dc2985fe76f6dab3b0d59e8baf919c86da4 | refs/heads/master | 2016-08-04T16:29:30.311285 | 2014-10-09T16:49:40 | 2014-10-09T16:49:40 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | #!/usr/bin/python
# -*-coding:utf-8-*-
class frontier:
def __init__(self,seed = None):
self.list_frontier = []
self.init_frontier(seed)
def init_frontier(self,seed):
if seed == None:
self.load_frontierFromDb()
else:
self.add_frontier(seed)
return self.list_frontier
def show_frontier(self):
retu... | UTF-8 | Python | false | false | 677 | py | 10 | frontier.py | 10 | 0.691285 | 0.685377 | 0 | 32 | 20.125 | 36 |
jamesjarlathlong/beeview_gateway | 1,666,447,354,649 | e6437cb1b8c4b504aec46732d07817deff893c61 | 13ffe2e92484d3a3283905733afaf17b1b5f9e7b | /algorithms/compressive.py | 839b5a9a33ab48ea2ffbbd7e7d87e939f849ce22 | [] | no_license | https://github.com/jamesjarlathlong/beeview_gateway | 7f89218cb06a29cae5720c6d57fe39c2438ac949 | f1a4576aaded9e0265d832d6f41dde157d5220d9 | refs/heads/master | 2021-01-01T18:51:15.260795 | 2018-04-12T04:55:05 | 2018-04-12T04:55:05 | 98,449,510 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import scipy.fftpack as spfft
import numpy as np
import seaborn as sns
import matplotlib
import matplotlib.pyplot as plt
import fourier_basis as ft
import cvxpy as cvx
import itertools
import math
import numpy as np
import random
import sys
import fourier_basis as ft
def downsample(data,ri):
return data[ri]
def re... | UTF-8 | Python | false | false | 1,405 | py | 33 | compressive.py | 18 | 0.688968 | 0.685409 | 0 | 51 | 26.568627 | 70 |
xflows/cf_weka | 3,461,743,658,359 | 6c8a25a26a406d504056234dd36531e68b889ebf | db7373b959ccb2eceb67179bea8fff5d7c8b25c0 | /cf_weka/library.py | e7c38ce36434f6e935027bb1112b94e6920b17d2 | [
"MIT"
] | permissive | https://github.com/xflows/cf_weka | b6520b249fa24760067de03a5249b30711e933ea | 9e76d9ef101a001bbcbc2a6fe67296619a7d0bb0 | refs/heads/master | 2021-01-10T01:17:28.015025 | 2017-10-18T12:18:32 | 2017-10-18T12:18:32 | 49,005,637 | 3 | 1 | null | null | null | null | null | null | null | null | null | null | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
__authors__ = 'vid, daleksovski'
import classification
import evaluation
import utilities
import preprocessing
#
# CLASSIFICATION ALGORITHMS
#
def decision_tree_j48(input_dict):
"""Decision Tree learner J48"""
p = input_dict['params']
return {'learner': class... | UTF-8 | Python | false | false | 4,032 | py | 28 | library.py | 10 | 0.675099 | 0.669395 | 0 | 150 | 25.88 | 191 |
4ar0n/fifthtutorial | 395,137,005,226 | 1f2d9fc24beb5175ac21e4efcc44547fbf06c6c2 | d22cb36b926c23e15cf223288dc54f2218980e9d | /homework2.0_q.py | 55c8f963ae18a46f82b7d558848cf9c3f33f4dec | [] | no_license | https://github.com/4ar0n/fifthtutorial | 395c749848d69734856fcae406b94b91a75f36f0 | d520e3100f99df6537ace1eac54001a873bd9cdb | refs/heads/master | 2023-02-18T23:04:56.162587 | 2021-01-16T14:31:47 | 2021-01-16T14:31:47 | 312,524,107 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | from pprint import pprint
from random import *
from datetime import datetime
person_mapping_dict = { 1:"Aaron",
2:"Vincent",
3:"Sir Ying",
4:"Jason",
5:"Billy" }
good_mapping_dict = { 45:"banana... | UTF-8 | Python | false | false | 2,770 | py | 34 | homework2.0_q.py | 29 | 0.54657 | 0.355957 | 0 | 87 | 30.804598 | 188 |
P-R-McWhirter/augment_height | 18,674,517,808,094 | a4861f902bb92d46b429a49f736fa3af8f1f74c0 | 0d91e95505e3ee60e058837d6d24d3e93a3eec65 | /augment_height.py | 34ed2587d77e76da21717d1d307684a6a9e4c587 | [] | no_license | https://github.com/P-R-McWhirter/augment_height | 0513b469d4feb3cef84e0186f446480d28b191f9 | cdec23ee7c93b820a518735149c33fdd056a441f | refs/heads/master | 2021-02-18T19:33:14.877719 | 2020-03-05T17:36:03 | 2020-03-05T17:36:03 | 245,227,906 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | # Imports
from __future__ import print_function
import numpy as np
import pandas as pd
import os
from sklearn.model_selection import train_test_split
from sklearn import preprocessing
from sklearn.metrics import confusion_matrix
import gc
import itertools
import cv2
import argparse
gc.enable()
ap = argparse.ArgumentP... | UTF-8 | Python | false | false | 1,957 | py | 2 | augment_height.py | 1 | 0.625447 | 0.601942 | 0 | 67 | 28.208955 | 112 |
manhcntt21/TextNormSeq2Seq | 7,121,055,811,919 | a2840cdc8c280ce92c46d31aae8c3e5d2648cb9b | 6f2d9408e0074ccc29fdcf65f55f55fa7ef53ee6 | /check.py | 08509afc3a3baa8b07200a9fa2fc59fc056165c9 | [
"MIT"
] | permissive | https://github.com/manhcntt21/TextNormSeq2Seq | a3a4fb770b42594a5fa6837664013a496b067132 | 440b252bddc0c735f083acd51271f2056d088a0a | refs/heads/master | 2020-09-13T13:54:19.390847 | 2020-02-03T02:09:01 | 2020-02-03T02:09:01 | 222,806,593 | 0 | 0 | NOASSERTION | true | 2019-11-19T23:02:02 | 2019-11-19T23:02:01 | 2019-11-14T15:46:25 | 2019-09-10T15:13:32 | 45 | 0 | 0 | 0 | null | false | false |
import random
def get_repleace_character():
repleace_character = {}
# repleace_character['ch'] = ['tr']
# repleace_character['tr'] = ['ch']
repleace_character['l'] = ['n']
repleace_character['n'] = ['l']
repleace_character['x'] = ['s']
repleace_character['s'] = ['x']
repleace_character... | UTF-8 | Python | false | false | 3,524 | py | 66 | check.py | 9 | 0.418275 | 0.408343 | 0 | 104 | 32.836538 | 100 |
g2thend/proxypool | 2,405,181,701,292 | 2e19cb52db6edb83275d2ba77f24c43fc683850d | 5f98c9ee03fe4e6c36eab76d819d2ab868b837c8 | /imorter.py | eec48591e818ec08f1de146f8b0fd9a4f8ded6eb | [] | no_license | https://github.com/g2thend/proxypool | 604fe8f6153b57e70b392ad3023786e98da1043f | fc30541131c095c7d4d845d7b884e78c6f7e9674 | refs/heads/master | 2020-12-14T17:43:12.544796 | 2020-01-19T02:42:25 | 2020-01-19T02:42:25 | 234,827,201 | 1 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 12/20/19 2:19 PM
# @Author : yon
# @Email : @qq.com
# @File : imorter
# 手动录入代理
# 未测试
from proxypool.db import sqlitedb
importer = sqlitedb()
def importproxy(proxy):
result = importer.add(proxy)
print(proxy)
print('录入成功' if result else '录入失... | UTF-8 | Python | false | false | 691 | py | 11 | imorter.py | 10 | 0.55935 | 0.543089 | 0 | 32 | 18.1875 | 43 |
ezeutno/PycharmProject | 6,717,328,868,756 | 94ed949972b741443f798b3378624901ba37f47c | c4a0669126f2fbf757ac3b33a8279ef32305bbd7 | /Data Project/Jude_Assignment/Alien_Invasion(New)/earth.py | 738b0735ec6040ee00969c85928b6670fe303be6 | [] | no_license | https://github.com/ezeutno/PycharmProject | 822b5a7da05729c5241a03b7413548a34b12e4a5 | bdb87599885287d2d7cd5cd703b62197563722b8 | refs/heads/master | 2021-07-18T20:55:08.605486 | 2017-10-24T03:14:10 | 2017-10-24T03:14:10 | 105,782,136 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import pygame
class Earth():
def __init__ (self,ai_setting,screen):
self.screen = screen
self.ai_setting = ai_setting
x = self.ai_setting
self.image = pygame.image.load('Data_base\\earth.bmp')
self.rect = self.image.get_rect()
self.screen_rect = screen.get_rect()
... | UTF-8 | Python | false | false | 491 | py | 135 | earth.py | 125 | 0.621181 | 0.621181 | 0 | 15 | 31.8 | 62 |
JohnLZeller/F310_Gamepad_Parser | 19,224,273,630,627 | 9e013c5208450692eb8d8375a6a6663fcaa95b04 | e01376a824b8e9cc0e6910115e33365824de857c | /gui_main.py | 79d4e29ceb66c34e43e64159aef435ccc6f1309f | [] | no_license | https://github.com/JohnLZeller/F310_Gamepad_Parser | 7863fe383cad51b20703ba22dc3bff4aed311c07 | 04c47aac51a2697ad0288fbdad382ace754484c9 | refs/heads/master | 2021-01-21T05:06:02.317722 | 2013-02-12T23:22:49 | 2013-02-12T23:22:49 | 12,443,874 | 4 | 4 | null | null | null | null | null | null | null | null | null | null | null | null | null | ############ Logitech F310 Gamepad Controller GUI - gui_main.py ##########
# Original Author: John Zeller
# Description: GUI_Main displays the values being stored in the states
# python dictionary in a very simple labeled Tkinter GUI
# to make them easily viewable.
import Tkinter as tk # Native Python GU... | UTF-8 | Python | false | false | 12,513 | py | 2 | gui_main.py | 2 | 0.638376 | 0.611204 | 0 | 197 | 62.522843 | 116 |
rinoshinme/detection_yolo | 16,329,465,678,604 | 747623a8ea175bf2e5caeb8bcf165ba9dfb92be8 | 42245303c0914e9923a67f7e5763f354627e1d7a | /yolo/yolov1.py | c39617f182d1eae1b8988db4b408ca628d3c094f | [] | no_license | https://github.com/rinoshinme/detection_yolo | 0d68170136da908d6b7e384c2b9538f0017411e2 | 8c367d31cca4361aff1eacd6c96e544d5497ccbd | refs/heads/master | 2020-07-02T05:04:44.489451 | 2019-08-09T09:55:15 | 2019-08-09T09:55:15 | 201,423,587 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import tensorflow as tf
import numpy as np
from utils.layers import leaky_relu
from config.yolov1_config import cfg
slim = tf.contrib.slim
class YOLOv1(object):
def __init__(self, is_training=True):
self.classes = cfg.CLASSES
self.num_classes = len(self.classes)
self.image_size = cfg.IMAGE... | UTF-8 | Python | false | false | 1,507 | py | 22 | yolov1.py | 17 | 0.569343 | 0.5501 | 0 | 44 | 33.25 | 90 |
javerdejo/UMACamp_sensors | 2,860,448,223,835 | c448651a88c86378291100a365e153a7d13bfd8a | a00fc0006530b637f1439982b85a8f0b2fa12cc4 | /sensors/bluetooth/settings.py | c2f6e0c67e41426ee864f4edbedca1b8d61510e7 | [] | no_license | https://github.com/javerdejo/UMACamp_sensors | c272aa240a1f02f4b4e2aefa12218d3de8442996 | 05d6315ca085bbf2e77688a02eef18ea2ec10c23 | refs/heads/master | 2021-01-11T18:57:20.384878 | 2017-05-09T08:44:57 | 2017-05-09T08:44:57 | 79,280,292 | 0 | 0 | null | false | 2017-03-03T13:34:02 | 2017-01-17T22:46:44 | 2017-02-24T10:26:42 | 2017-03-03T13:32:59 | 47 | 0 | 0 | 2 | Python | null | null | BT_SCANNER_DURATION = 10 #seconds
BT_SCANNER_LOGGING = "/var/log/bluetooth.log"
BT_SCANNER_DATAHTML = "/var/log/bluetooth_data.log"
BT_SCANNER_LOGPATH = "/bluetooht_sensed"
| UTF-8 | Python | false | false | 173 | py | 12 | settings.py | 11 | 0.751445 | 0.739884 | 0 | 4 | 42.25 | 51 |
vtheno/python-monad | 1,176,821,040,834 | 1da93c0cef33f802d0edcc0b358370fffddb1848 | e8e36611267126c6add47d8a66175ec5a30961e9 | /infix.py | 2aea38426855a4c12725ba23b3cd8d102807f023 | [
"MIT"
] | permissive | https://github.com/vtheno/python-monad | 666a044e5bc011e44b74440b725ba7dfabe83c20 | 781407a1b3eca7fb0beb0899136f4859f5e77540 | refs/heads/master | 2021-05-26T19:56:16.386606 | 2014-01-24T15:18:43 | 2014-01-24T15:18:43 | 106,650,047 | 1 | 0 | null | true | 2017-10-12T05:47:57 | 2017-10-12T05:47:57 | 2017-10-12T05:45:52 | 2014-01-24T15:18:49 | 152 | 0 | 0 | 0 | null | null | null | """
Infix hack from:
http://code.activestate.com/recipes/384122/
"""
# pylint: disable=R0903
class Infix(object):
"""
Infix decorator. For instance:
>>> @Infix
>>> def mult(x, y):
... return x * y
>>> 2 |mult| 4
8
>>> 2 <<mult>> 4
8
"""
def __init__(self, function):... | UTF-8 | Python | false | false | 749 | py | 7 | infix.py | 7 | 0.543391 | 0.522029 | 0 | 36 | 19.805556 | 79 |
rimvydaszilinskas/printer | 1,906,965,484,100 | befe3f1fc2053a6cb2cfc2b279ed089ea285068e | 786a05b62e0a6bded2568194d80570e2c1f58df1 | /lib/templates.py | fa1b98e6018f3c3ad7b1a34193944e0a97a6fcec | [] | no_license | https://github.com/rimvydaszilinskas/printer | ac31d05bd4c747dd793c5e3c5182573f922e7940 | 4a443c049dfc2fdb690f3c079393a7f2aad28058 | refs/heads/master | 2022-05-24T04:22:19.652929 | 2020-04-16T11:40:19 | 2020-04-16T11:40:19 | 171,291,657 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import os
import urllib.request
def load_image(template):
print(template)
return open("/home/pi/printer/templates/" + template)
def cleanup_templates():
for root, dirs, files in os.walk("/home/pi/printer/templates"):
for filename in files:
if filename != "default.png" and filename != "... | UTF-8 | Python | false | false | 697 | py | 14 | templates.py | 9 | 0.662841 | 0.662841 | 0 | 19 | 35.736842 | 86 |
wkdewey/learnpythonthehardway | 13,812,614,850,581 | e62e78f693e95d5dd4ae8971cebc808c10cc6f90 | 2ff2cb79b2ea556514ceb9f41c55734f30f4b5fe | /ex17.py | d0cb3a3c4481920873d422c7617e7874a178acce | [] | no_license | https://github.com/wkdewey/learnpythonthehardway | 4ccc7dc02aeac09d42d36344961f539703cc008a | 284643d0ad52abfc826492c6f9a3cdbd9dcd8b50 | refs/heads/master | 2020-03-23T02:31:25.530269 | 2018-07-14T21:06:54 | 2018-07-14T21:06:54 | 140,978,281 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | from sys import argv; from os.path import exists; script, from_file, to_file = argv;print "Copying from %s to %s" % (from_file, to_file); indata = open(from_file).read(); out_file = open(to_file, 'w').write(indata)
x = len("12345")
print "%d" % x
| UTF-8 | Python | false | false | 247 | py | 27 | ex17.py | 27 | 0.663968 | 0.643725 | 0 | 3 | 81.333333 | 214 |
rdghosal/WaveNative | 16,329,465,659,863 | 551c9608375bf82c17d00c2df5bb24e15885a4bc | 4c71c8a38429a39da78509c617923f7911b07bab | /api/services/user.py | 9168764d00abc470547274c229d3a57ec5be182b | [] | no_license | https://github.com/rdghosal/WaveNative | 4b4e184070b9e992c9379df647e66a64cfb19e4b | 340fdb8e354daf87915d8e4725e510dd222cc4cc | refs/heads/master | 2023-01-12T05:49:39.878089 | 2020-02-16T02:16:31 | 2020-02-16T02:16:31 | 196,894,015 | 0 | 0 | null | false | 2023-01-07T14:39:10 | 2019-07-14T23:40:55 | 2020-02-16T02:16:37 | 2023-01-07T14:39:09 | 7,756 | 0 | 0 | 25 | JavaScript | false | false | from api import db
from api.models.user import User
from werkzeug.security import check_password_hash, generate_password_hash
def check_form_data(form):
"""Takes data used for registration
and evaluates whether info is original"""
if form["password"] != form["confirmation"] or \
db.session.query(U... | UTF-8 | Python | false | false | 1,071 | py | 41 | user.py | 29 | 0.645191 | 0.644258 | 0 | 37 | 27.972973 | 85 |
mhyttsten/GeneralMLRepoPython | 11,596,411,703,049 | 52be2f8821d9fa77f71892998fb48654208274e6 | c790d516ae4fcb5a83010a08f9756313afd170a4 | /TF_Old/Ref_TFFileIO.py | 99032f755f0b4f9e56c2268ec7855c949877969c | [] | no_license | https://github.com/mhyttsten/GeneralMLRepoPython | 1ccbf0c7fbd85ec981b8d4d417ab673dcaa2e8ec | c5d3bfb115601a3f162e8b089b0a1527ac0ba139 | refs/heads/master | 2021-09-06T05:20:07.597283 | 2018-02-02T18:16:06 | 2018-02-02T18:16:06 | null | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | import tensorflow as tf
def input_pipeline(filenames, batch_size, num_epochs=None):
filename_queue = tf.train.string_input_producer(filenames, num_epochs=num_epochs, shuffle=True)
reader = tf.TextLineReader()
key, record_string = reader.read(filename_queue)
f1, f2, f3, label = tf.decode_csv(record_str... | UTF-8 | Python | false | false | 1,621 | py | 45 | Ref_TFFileIO.py | 45 | 0.660703 | 0.649599 | 0 | 45 | 35.044444 | 99 |
sneha8412/back-end-inspiration-board | 18,657,337,937,933 | efdb86bfd1b5c23c64eacf5538a0d0b5921d26f2 | c59b47da153036a20be3152cd0b9498c4333f1d8 | /app/card_routes.py | e57e419c4d97e6a19b0c6f537ee634f422a0754a | [] | no_license | https://github.com/sneha8412/back-end-inspiration-board | f4f18555ec9a2914de69a93196f12c17378c2bfb | cf752d0f8d6798933bdb1a3d94a1760687994efd | refs/heads/main | 2023-06-18T03:16:18.209195 | 2021-06-29T02:59:24 | 2021-06-29T02:59:24 | 381,177,181 | 0 | 0 | null | true | 2021-06-28T22:36:06 | 2021-06-28T22:36:05 | 2021-06-23T23:37:41 | 2021-06-23T23:04:21 | 0 | 0 | 0 | 0 | null | false | false | from flask import Blueprint, request, jsonify, make_response
from app import db
from .models.board import Board
from .models.card import Card
import os
# example_bp = Blueprint('example_bp', __name__)
card_bp = Blueprint("cards", __name__, url_prefix="/cards")
@card_bp.route("", methods=["POST"], strict_slashes=Fals... | UTF-8 | Python | false | false | 908 | py | 5 | card_routes.py | 5 | 0.664097 | 0.657489 | 0 | 37 | 23.513514 | 60 |
OverLordGoldDragon/StackExchangeAnswers | 16,733,192,597,947 | 856b67ec64e3567bf89bb9645b342ef4a20a0009 | 88d98cc49954c8bf7f8076eedaeb2336282de4ce | /SignalProcessing/Q76636 - filters - Why is x(n) - x(n - 1) + x(n + 2) lowpass/main.py | 07941c8928d54daef0e8de186616be9172bc8f6a | [
"MIT"
] | permissive | https://github.com/OverLordGoldDragon/StackExchangeAnswers | 1312601f1a1b5970536171600e4317791c5e4953 | 47a5fd462e506cd417c7112a9fff3300b489f0de | refs/heads/main | 2023-08-08T09:51:52.304487 | 2023-08-02T09:20:03 | 2023-08-02T09:20:03 | 387,701,666 | 13 | 3 | MIT | false | 2021-10-02T01:48:50 | 2021-07-20T06:57:55 | 2021-08-18T01:23:43 | 2021-10-02T01:48:49 | 154,626 | 2 | 0 | 1 | Python | false | false | import numpy as np
import matplotlib.pyplot as plt
def plot(x, title):
fig = plt.figure()
plt.plot(np.abs(x))
plt.scatter(np.arange(len(x)), np.abs(x), s=10)
plt.title(title, weight='bold', fontsize=18, loc='left')
return fig
def plot_T(x, Tmax):
if Tmax == 0:
title = "|H(w)|: x(n)"
... | UTF-8 | Python | false | false | 1,471 | py | 54 | main.py | 48 | 0.485384 | 0.456152 | 0 | 54 | 26.240741 | 78 |
YannisYao/12306Plus | 1,812,476,234,058 | bf3d92b212563f0f8e02a4c201a62542a169f7f1 | 1212291e28543032194a500a3c508cc44c71e238 | /business/check_captcha.py | 05e6955a6e5dfce8d5f0fa0e981e352c2518c221 | [] | no_license | https://github.com/YannisYao/12306Plus | 1d72102c6ca7b362ac077a12c069af8527a4bd4c | dbec0c8260fd94d5a7392330a1c3c692a6bbd1d5 | refs/heads/master | 2021-05-11T06:13:25.597472 | 2018-01-19T07:58:07 | 2018-01-19T07:58:07 | 117,982,002 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | null | #校验验证码
from business.damatuWeb import DamatuApi
from business.captcha_download import download_captcha
import json
from business.urlcontants import UrlContants
from business.middleproxy import MiddleProxy
from bs4 import BeautifulSoup
#坐标识别式验证码
CAPTCHA_TYPE = 310
#坐标偏移量
OFFSET_X = 0
OFFSET_Y = 30
def get_result_point... | UTF-8 | Python | false | false | 2,752 | py | 21 | check_captcha.py | 19 | 0.594821 | 0.58247 | 0 | 70 | 34.871429 | 107 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.