seq_id stringlengths 4 11 | text stringlengths 113 2.92M | repo_name stringlengths 4 125 โ | sub_path stringlengths 3 214 | file_name stringlengths 3 160 | file_ext stringclasses 18
values | file_size_in_byte int64 113 2.92M | program_lang stringclasses 1
value | lang stringclasses 93
values | doc_type stringclasses 1
value | stars int64 0 179k โ | dataset stringclasses 3
values | pt stringclasses 78
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
19329693229 | from google_auth_oauthlib.flow import InstalledAppFlow
from googleapiclient.discovery import build
from google.oauth2.credentials import Credentials
from google.auth.transport.requests import Request
import os
# All scopes together
ALL_SCOPES = [
'https://www.googleapis.com/auth/contacts.readonly',
'https://ww... | clarkdever/gcal-gcontacts-sync | google_api_utils.py | google_api_utils.py | py | 2,803 | python | en | code | 0 | github-code | 6 |
19969055167 | """
This helps in finding the means and standards of the images to normalize before training.
To run
python3 calculate_means_std.py -i path/to/image/folder/
"""
import argparse
import subprocess
import yaml
import os
import sys
sys.path.remove("/opt/ros/kinetic/lib/python2.7/dist-packages")
import cv2
import nump... | vijaysamula/Building_floor_counter | calculate_means_stds.py | calculate_means_stds.py | py | 2,438 | python | en | code | 0 | github-code | 6 |
13454184469 | """
words list๊ฐ ๋งํฌ๋ง ์๊ณ , ๊ธ์ ๋ฐ์ดํฐ๊ฐ ์์. ๊ธ์ ๋ฆฌ์คํธ๋ฅผ ๋ฐ์์ค๊ธฐ ์ํ ํ์ผ
"""
from selenium import webdriver
from bs4 import BeautifulSoup
import pandas as pd
class Get_chndic_data:
def __init__(self, link):
self.link = link
self.get_data = []
def beautiful_soup(self, link):
"""
Beautiful Soup... | i-hs/chn_words_crawling | make_database/words_list.py | words_list.py | py | 2,691 | python | ko | code | 0 | github-code | 6 |
22126010030 | import math
import random
# read data from file
def getData(fn):
# get data
file = open(fn, 'r')
read = file.readlines()
file.close
states = int(read[0]) # number of states
rewards = [] # reward data (also state data)
moves = [] # move data
for i in range(1, len(read... | WannaBeSuperteur/AI | QLearning.py | QLearning.py | py | 4,032 | python | en | code | 0 | github-code | 6 |
33708620212 | import os
from google.cloud import storage
class GoogleStorageLoader():
def __init__(self) -> None:
"""Start Google Cloud clint - could be used for uploading to storage
"""
os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = "../content/key-bucket.json"
self.client = storage.Client()
... | IhorLuk/reddit_api_data_ingestion | src/storage.py | storage.py | py | 724 | python | en | code | 0 | github-code | 6 |
41054313506 |
# coding: utf-8
# # Heat Diffusion in Soils
#
# This Jupyter Notebook gives an example how to implement a 1D heat diffusion model in Python.
#
# First we need to import the packages which we will be using:
#
# In[1]:
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
impo... | solomelittle/EL-Individual-Assignment | 03_ScriptCH_WieringermeerBoundary.py | 03_ScriptCH_WieringermeerBoundary.py | py | 7,445 | python | en | code | 0 | github-code | 6 |
3477283820 | import logging
import os
import typing
from collections import defaultdict
from typing import Dict
import dpath.util
from voluptuous import Any
from dvc.exceptions import DvcException
from dvc.utils.serialize import ParseError, load_path
from dvc_data.hashfile.hash_info import HashInfo
from .base import Dependency
... | gshanko125298/Prompt-Engineering-In-context-learning-with-GPT-3-and-LLMs | myenve/Lib/site-packages/dvc/dependency/param.py | param.py | py | 4,814 | python | en | code | 3 | github-code | 6 |
42072257921 | #!/usr/bin/env python
# coding: utf-8
# In[36]:
import requests
from bs4 import BeautifulSoup
import pandas
list1=[]
for page in range(0,30,10):
r = requests.get("http://www.pyclass.com/real-estate/rock-springs-wy/LCWYROCKSPRINGS/t=0&s="+str(page)+".html", headers={'User-agent': 'Mozilla/5.0 (X11; Ubuntu;... | shivangijain827/python-projects | web - scraper/main.py | main.py | py | 1,883 | python | en | code | 0 | github-code | 6 |
74099804029 | import os
import os.path as osp
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
import pandas as pd
import argparse
from dataset import collate_fn, MergedMatchingDataset
from torch.utils.data import DataLoader
from EmbedModel import EmbedModel
from GCN import gcn
from logger import... | ChenRunjin/GNEM | test.py | test.py | py | 6,754 | python | en | code | 5 | github-code | 6 |
41254027126 | from copy import copy, deepcopy
from itertools import izip
from burrahobbit.util import all
SENTINEL = object()
SHIFT = 5
BMAP = (1 << SHIFT) - 1
BRANCH = 2 ** SHIFT
MAXBITMAPDISPATCH = 16
def relevant(hsh, shift):
""" Return the relevant part of the hsh on the level shift. """
return hsh >> shift & BMAP
... | fmayer/burrahobbit | burrahobbit/_tree.py | _tree.py | py | 17,423 | python | en | code | 8 | github-code | 6 |
9162832850 | def _self_extract_binary(ctx):
"""Implementation for the self_extract_binary rule."""
# This is a bit complex for stripping out timestamps
zip_artifact = ctx.actions.declare_file(ctx.label.name + ".zip")
touch_empty_files = [
"mkdir -p $(dirname ${tmpdir}/%s); touch ${tmpdir}/%s" % (f, f)
... | bazelbuild/bazel | scripts/packages/self_extract_binary.bzl | self_extract_binary.bzl | bzl | 2,138 | python | en | code | 21,632 | github-code | 6 |
26470959901 | """ Problem 71: Ordered Fractions
https://projecteuler.net/problem=71
Goal: By listing the set of reduced proper fractions for d <= N in ascending
order of size, find the numerator and denominator of the fraction immediately to
the left of n/d.
Constraints: 1 <= n < d <= 1e9, gcd(n, d) == 1, d < N <= 1e15
Reduced P... | bog-walk/project-euler-python | solution/batch7/problem71.py | problem71.py | py | 7,025 | python | en | code | 0 | github-code | 6 |
24455754580 | # -*- coding: utf-8 -*-
"""
@author: Fatih Kemal Terzi
"""
import cv2
import numpy as np
# Image reading
img = cv2.imread('pools.png')
count=0
# Image converting to HSV color space
hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
# Adjusting range of blue color for detecting pools
lower_blue = np.array([8... | FatihKemalTerzi/Image-Processing | Midterm3.py | Midterm3.py | py | 1,105 | python | en | code | 0 | github-code | 6 |
10502033252 | # https://www.geeksforgeeks.org/find-the-smallest-positive-number-missing-from-an-unsorted-array/
def missing(res):
N = len(res)
for i in range(0, N):
if res[i] < N and res[i] > 0:
res[res[i]-1] = -res[res[i]-1]
# print(res)
for i in range(0, N):
if res[i] > 0:
return i+1
if __name__ == '__main__':
... | anojkr/help | Array/smallest_missing_number_in_unsorted_array.py | smallest_missing_number_in_unsorted_array.py | py | 455 | python | en | code | 0 | github-code | 6 |
3739410797 | import requests
from bs4 import BeautifulSoup
import re
def get_vote_links(current_page):
"""Finds the vote page links on the main folktingspage.
Args:
main_page_soup (_type_): Takes in the main page with all the vote subpages as a soap object
Returns:
_type_: Returns a list of soap Obje... | jonahank/Vote-Prediction-Model | utils/scraper_functions.py | scraper_functions.py | py | 4,617 | python | en | code | 1 | github-code | 6 |
10138194613 | from eth_keys.datatypes import (
PrivateKey,
PublicKey,
Signature,
)
class BaseECCBackend(object):
def __init__(self):
self.PublicKey = type(
'{0}PublicKey'.format(type(self).__name__),
(PublicKey,),
{'_backend': self},
)
self.PrivateKey = ty... | adithyabsk/loanchain | loanchain/lib/python2.7/site-packages/eth_keys/backends/base.py | base.py | py | 1,000 | python | en | code | 5 | github-code | 6 |
75131970108 | import requests
headers = {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/79.0.3945.130 Safari/537.36"}
"ไผ ๅ
ฅๅๆฐ็ๅฝขๅผ"
params = {"wd":"haha"}
"ๆๅ้ข็้ฎๅทๅฏๅ ๅฏไธๅ ๏ผไธๅ ็่ฏ๏ผ็จๅบไผ่ชๅจๅธฎไฝ ๅ ไธ"
url_temp = "https://www.baidu.com/?"
"ๆณจๆ็จrequests่ฐ็จpostๅgetๆถ็ๅฝๆฐ"
r = requests.get(url_temp, ... | hahahei957/NewProject_Opencv2 | venv_2/็ฌ่ซ/01_HelloWorld.py | 01_HelloWorld.py | py | 874 | python | zh | code | 0 | github-code | 6 |
9512772188 | import sys
import pandas as pd
import numpy as np
import xml.dom.minidom
#from exercise 3
def output_gpx(points, output_filename):
"""
Output a GPX file with latitude and longitude from the points DataFrame.
"""
def append_trkpt(pt, trkseg, doc):
trkpt = doc.createElement('trkpt')
trkpt... | tomchiu19/tourPlanner | code/05-generate-gpx.py | 05-generate-gpx.py | py | 2,464 | python | en | code | 0 | github-code | 6 |
24254182121 | import time
import requester
import json
import config
location_id_data = {}
exclude_ids = config.settings["loc_ids_to_exclude"] # Gananoque & Tay Valley Old People One & Prescott
def parseLocationsToDict():
# Locations.json is extracted from the bottom of the pomelo covid-vaccination "locations" html page whe... | TASelwyn/PomeloScraper | main.py | main.py | py | 4,417 | python | en | code | 0 | github-code | 6 |
1708447421 | from __future__ import print_function
import numpy as np
import matplotlib.pyplot as plt
import ball_endmill
from utility import mm_to_inch
from utility import plot_circle
def plot_spheremill_toolpos(params):
# Extract parameters
diam_tool = params['diam_tool']
diam_sphere = params['diam_sphere']
... | willdickson/sphere_mill_gcode | sphere_mill_gcode/ball_endmill_viz.py | ball_endmill_viz.py | py | 2,135 | python | en | code | 0 | github-code | 6 |
25693073835 | # coding=gbk
# ๅฝๆฐpart_3 ่ฟๅๅผ ๆดป็จreturn่ฏญๅฅ
# part_3.1 ่ฟๅ็ฎๅๅผ
def get_formatted_name(first_name, last_name):
"""่ฟๅๆดๆด็ๅงๅ"""
full_name = first_name + " " + last_name
return full_name.title()
musician = get_formatted_name('jen', 'hex')
print(musician)
# return่ฏญๅฅ่ฟๅ่ฐ็จๅฝๆฐ็ไปฃ็ ่ก
# ่ฐ็จ่ฟๅๅผ็ๅฝๆฐ้่ฆๅ ไธๅ้
# part_3.2 ่ฎฉๅฎๅๅๆๅฏ้ ... | Troysps/learn_python | 61/ๅฝๆฐ3_่ฟๅๅผ.py | ๅฝๆฐ3_่ฟๅๅผ.py | py | 2,326 | python | en | code | 0 | github-code | 6 |
9661128383 | def gcd(A: int, B: int):
if B == 0:
return A
else:
return gcd(B, A % B)
A, B = map(int, input())
result = gcd(A, B)
while result > 0:
print(1, end='')
result -= 1
# ํฐ์ชฝ์์ ์์ ์ชฝ์ ๋๋ ์ ๋จ์ด์ง๋ฉด ์์ ์ชฝ์ด ์ต๋ ๊ณต์ฝ์
# ๋๋์ด ๋จ์ด์ง์ง ์์ผ๋ฉด 1, 0์ด๋ฉด ๋๋จธ์ง ํ๋๊ฐ ์ต๋๊ณต์ฝ ์
| java-squid/lets-algorithm | 07--number-theory/ragdoll/1850.py | 1850.py | py | 365 | python | ko | code | 0 | github-code | 6 |
18597795385 | class BankCard:
def __init__(self, number, cvc, first_name, last_name):
self.number = number
self.cvc = cvc
self.first_name = first_name
self.last_name = last_name
def _luhn_algorithm(self, value):
card_sum = 0
for index, digit in enumerate(value):
di... | pyteacher123/py35-onl | lesson15/classwork/task2.py | task2.py | py | 1,323 | python | en | code | 2 | github-code | 6 |
10933119158 | import os
import cv2 # commutator vision
import numpy as np
import matplotlib.pyplot as plt
import tensorflow as tf
mnist = tf.keras.datasets.mnist # The hand number nad what it is
(x_train, y_train), (x_test, y_test) = mnist.load_data() # split to training data and test data || x is the pixle data y is what Number... | Zippy-boy/HandDigets | main.py | main.py | py | 1,658 | python | en | code | 0 | github-code | 6 |
33702855496 | import socket
HOST = "127.0.0.1" # localhost
PORT = 1234 # pixelflut-port
with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as sock:
sock.connect((HOST, PORT))
XMIN=641
XMAX=1279
YMIN=0
YMAX=719
for y in range(YMIN, YMAX+1):
for x in range(XMIN, XMAX+1):
... | HacktoberfestMunich/Hacktoberfest-2023 | Teams/red_titans/src/RedBackground.py | RedBackground.py | py | 403 | python | en | code | 0 | github-code | 6 |
73700516027 | import os, time, gc
import numpy as np
import gym
import random
from gym import spaces
from gym.utils import seeding
from screeninfo import get_monitors
import pybullet as p
from .agents.objects import Object
from .util import Util
from .agents.agent import Agent
class BaseEnv(gym.Env):
def __init__(self, time_s... | gabriansa/collaborative-gym | collaborative_gym/envs/base_env.py | base_env.py | py | 20,082 | python | en | code | 0 | github-code | 6 |
35037176201 | import cv2
import numpy as np
from analyzers.analyseContour import AnalyseContour
from analyzers.contour import Contour
class AnalyseSafran(AnalyseContour):
"""
Class qui mesure la taille du safran qui sort de l'eau.
Attributs:
x1RefPoint (int): coordonnรฉe x du premier point de rรฉfรฉrence corresp... | Torystan/analyse-images | analyzers/analyseSafran.py | analyseSafran.py | py | 4,231 | python | fr | code | 0 | github-code | 6 |
38466019670 | __author__ = 'christiaanleysen'
import features.featureMaker as fm
from sklearn.metrics import mean_absolute_error
import matplotlib.pyplot as plt
import numpy as np
from sklearn.linear_model import LinearRegression
from sklearn import preprocessing
'''
This file is used to calculate the linear regression
'''
def pre... | chrike-platinum/Thesis-Gaussian-process-regression-clustering-and-prediction-of-energy-consumption | Methods/LinRegPrediction.py | LinRegPrediction.py | py | 1,353 | python | en | code | 1 | github-code | 6 |
23135628898 | # Make Table 4: Snowdrift Type Census Zonal Statistics
import pandas as pd
df = pd.read_csv('drift_zonal_statistics_mean_over_time.csv', index_col=False)
del df['Median Drift Depth [m]']
df.replace('watertrack', 'water track (f)', inplace=True)
df.replace('polygon', 'ice wedge (f)', inplace=True)
df.replace('stream... | charparr/arctic-snowdrifts | snowdrift_type_census/results/make_table_4.py | make_table_4.py | py | 1,271 | python | en | code | 0 | github-code | 6 |
27267969236 | from flask import Flask, render_template
from shp_display import *
app = Flask(__name__)
def script():
return ['hades2']
def get_table(db):
db = db
script = "<table>"
# Header Generator
code = "<tr>"
for s in db:
if str(s) != "MULTIPOLYGON" and str(s) != 'geometry':
cod... | nitish8090/Watershed_Modules_Py3 | flask_app/app.py | app.py | py | 1,373 | python | en | code | 0 | github-code | 6 |
37964221731 | import sys
import os
import random
from PIL import Image
'''
Simple image carver. Right now it will assemble any and all JPEGS found including partial fragmented files. It does not find the rest of the file.
You must have pillow installed. You can do that by `pip install pillow`.
YOU MUST HAVE PYTHON 3 NOT 2! THE Pi... | steviekong/Jpeg_carver | carver.py | carver.py | py | 3,434 | python | en | code | 1 | github-code | 6 |
26247964346 | import six
import webob.exc
from oslo_log import log
from delfin.i18n import _
LOG = log.getLogger(__name__)
class ConvertedException(webob.exc.WSGIHTTPException):
def __init__(self, exception):
self.code = exception.code
self.title = ''
self.explanation = exception.msg
self.err... | sodafoundation/delfin | delfin/exception.py | exception.py | py | 8,827 | python | en | code | 201 | github-code | 6 |
16543442339 | # RE_DATA names
DATA_BLOCK = "Data"
ACTION = "Action"
STAGE = "Stage"
STATIONFROM = "StationFrom"
STATIONFROMCODE = "StationFromCode"
STATIONTO = "StationTo"
STATIONTOCODE = "StationToCode"
DEPARTDATE = "DepDate"
DEPARTTIME = "DepTime"
BADDATE = "BadDate"
BADTIME = "BadTime"
ARRTIME = "ArrTime"
STATIONAT = "StationAt"
... | Grimmii/TrainChatBot | src/ai_chatbot/scripts/REDataHeader.py | REDataHeader.py | py | 806 | python | en | code | 0 | github-code | 6 |
1601092211 | __author__ = "Meet Dave"
__version__ = "1.0"
__maintainer__ = "Meet Dave"
__email__ = "meetkirankum@umass.edu"
# Load libraries
import matplotlib.pyplot as plt
import torch
import cv2
import numpy as np
from torchvision import models
from torchvision import transforms
from make_video import make_video
# Load pret... | meetdave06/random-cv-tasks | test1/test1.py | test1.py | py | 2,455 | python | en | code | 0 | github-code | 6 |
73727669948 | import torch
def get_device(model=None):
"""Returns two-tuple containing a PyTorch device (CPU or GPU(s)), and number of available GPUs.
Returns a two-tuple containing a PyTorch device (CPU or GPU(s)) and number of available CUDA
devices. If `model` is not None, and a CUDA device is available, the model... | bowang-lab/Transformer-GCN-QA | src/utils/model_utils.py | model_utils.py | py | 2,040 | python | en | code | 15 | github-code | 6 |
24199424367 | # -*- coding: utf-8 -*-
"""
Created on Tue Jun 25 15:22:37 2019
@author: Administrator
"""
# Definition for singly-linked list.
class ListNode:
def __init__(self, x):
self.val = x
self.next = None
import test_module
from queue import PriorityQueue
class Node:
def __init__(self, prior... | AiZhanghan/Leetcode | code/23. Merge k Sorted Lists.py | 23. Merge k Sorted Lists.py | py | 1,325 | python | en | code | 0 | github-code | 6 |
18821603273 | import os
def rename_files():
# 1 get file names from a folder
# r stands for raw path
file_list = os.listdir(r"D:\workspace\Udacity\Course 1\Lesson 1\Prank")
print(file_list)
os.chdir(r"D:\workspace\Udacity\Course 1\Lesson 1\Prank")
# 2 for each file, rename file
for file_name in file... | joshuar500/full-stack-nano | Course 1/Lesson 1/rename_files.py | rename_files.py | py | 438 | python | en | code | 0 | github-code | 6 |
73675801466 | import os, sys
proj_path = "/home/webuser/webapps/tigaserver/"
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "tigaserver_project.settings")
sys.path.append(proj_path)
os.chdir(proj_path + "util_scripts/")
from django.core.wsgi import get_wsgi_application
application = get_wsgi_application()
from django.db.model... | Mosquito-Alert/mosquito_alert | util_scripts/check_in_progress_reports.py | check_in_progress_reports.py | py | 1,276 | python | en | code | 6 | github-code | 6 |
39380382951 | import datetime
import jpholiday
from django import template
register = template.Library() # Djangoใฎใใณใใฌใผใใฟใฐใฉใคใใฉใช
# ใซในใฟใ ใใฃใซใฟใจใใฆ็ป้ฒใใ
@register.filter
def get_dict_value(dictionary, key):
return dictionary.get(key)
@register.filter
def append_string(dest, src):
return dest + src
@register.filter
def get_day_... | manakamu/docker | django/Docker-Django/django_project/pole/templatetags/pole_tags.py | pole_tags.py | py | 1,141 | python | ja | code | 0 | github-code | 6 |
39463837440 | # Standard library imports
import serial
import time
import sys
import zerorpc
import datetime
# Application library imports
from MySQLhandler import *
import Utility
SCRIPT_NAME = "RFIDhandler"
TIME_BEFORE_ACTIVATION = 60 * 5
print("Initialize serial connection with Arduino")
try:
s = serial.Serial('/dev/ttyAC... | jeremyalbrecht/Alarm-RPI | RFIDhandler.py | RFIDhandler.py | py | 2,490 | python | en | code | 0 | github-code | 6 |
43367818416 | # Importancia de la caracterรญstica de permutaciรณn (PFI) para la clasificaciรณn de latidos utilizando un perceptrรณn multicapa (MLP)
#
#
# - Cรณdigo 'PFI.py'
# - Trabajo Fin de Mรกster.
# - Nรฉstor Bolaรฑos Bolaรฑos. (nestorbolanos@correo.ugr.es)
import warnings
warnings.filterwarnings("ignore")
import numpy as np
imp... | Nestructor/Codigo_TFM_Aplicacion-del-Aprendizaje-Profundo-en-la-toma-de-Decisiones-Clinicas-Informadas | PFI.py | PFI.py | py | 6,333 | python | es | code | 0 | github-code | 6 |
36774550355 | class Solution(object):
def equalPairs(self, grid):
"""
:type grid: List[List[int]]
:rtype: int
"""
dic = defaultdict(int)
no_pair = 0
rows = len(grid)
cols = len(grid[0])
for i in range(rows):
dic[tuple(grid[i])] += 1
... | nathy-min/Competitive-Programming | 2352-equal-row-and-column-pairs/2352-equal-row-and-column-pairs.py | 2352-equal-row-and-column-pairs.py | py | 494 | python | en | code | 2 | github-code | 6 |
43216118551 | import graphlab as gl
import urlparse
settings = {'client_log': 's3://dato-demo-metrics/client-logs',
'server_log_old': 's3://gl-testing-chris/log/strata-predictive-service-three_logs',
'server_log_old2': 's3://dato-stratanow/logs/stratanow_logs',
'server_log': 's3://dato-stratanow/... | turi-code/Strata-Now | data/metrics.py | metrics.py | py | 1,912 | python | en | code | 4 | github-code | 6 |
42440314481 | import plotly.express as px
import plotly.graph_objs as go
import pandas as pd
from sklearn.decomposition import PCA
import numpy as np
#****************** Rรฉcupรฉration des donnรฉes CSV ************************#
df = pd.read_csv("https://simplonline-v3-prod.s3.eu-west-3.amazonaws.com/media/file/csv/be67fa74-2c34-419... | AbdiNi/Plotly-Dash | Dash_Plotly/My_dataset.py | My_dataset.py | py | 4,007 | python | en | code | 0 | github-code | 6 |
29059896663 | import imageio
import torch
import torch.nn.functional as F
import numpy as np
import os, argparse
os.environ["CUDA_VISIBLE_DEVICES"] = "0"
from net.bgnet import Net
from utils.tdataloader import test_dataset
parser = argparse.ArgumentParser()
parser.add_argument('--testsize', type=int, default=416, help='testing size... | thograce/BGNet | etest.py | etest.py | py | 1,718 | python | en | code | 57 | github-code | 6 |
38049723382 | import sys
import os
import yaml
import json
CUSTOM_WORD_LIST_FILENAME = '.wordlist.txt'
def find_wordlist_files(path):
wordlist_paths = []
for root, dirs, files in os.walk(path):
for file in files:
if file.endswith(CUSTOM_WORD_LIST_FILENAME):
wordlist_paths.append(os.path.... | actions-marketplace-validations/jordanbean-msft_wth-spell-check-action | generate-spellcheck.py | generate-spellcheck.py | py | 1,153 | python | en | code | 0 | github-code | 6 |
3962586718 | import sys
import os
import random
import matplotlib.pyplot as plt
from typing import List
BASE_FILENAME="develop"
OUTPUT_TYPE="png"
def create_pie_chart(keywords: List[str], base_filename: str, output_type: str):
data = []
explode = []
biggest_value = 0
biggest_iterator = 0
for i, _ in enumerate... | neilschark/bullshitgraphs | bullshitgraphs/bullshitgraphs.py | bullshitgraphs.py | py | 1,675 | python | en | code | 1 | github-code | 6 |
962892446 | from tkinter import *
from tkinter.messagebox import showinfo
import pandas as pd
import numpy as np
import sklearn as sk
from sklearn.linear_model import LinearRegression
import matplotlib.pyplot as plt
# function call
def cal():
data = pd.read_csv("2a.csv")
if (var1.get()=='123'):
showinf... | Santonu-Naskar/Rainfall-Prediction | rainfall/main/main1.py | main1.py | py | 3,959 | python | en | code | 0 | github-code | 6 |
73652302269 | # ็ผๅไธไธชๅฝๆฐ๏ผ่พๅ
ฅๆฏไธไธชๆ ็ฌฆๅทๆดๆฐ๏ผไปฅไบ่ฟๅถไธฒ็ๅฝขๅผ๏ผ๏ผ่ฟๅๅ
ถไบ่ฟๅถ่กจ่พพๅผไธญๆฐๅญไฝๆฐไธบ '1' ็ไธชๆฐ๏ผไน่ขซ็งฐไธบๆฑๆ้้๏ผใ
class Solution(object):
def hammingWeight(self, n):
"""
:type n: int
:rtype: int
"""
ret = 0
while n:
n &= n - 1
ret += 1
return ret
| xxxxlc/leetcode | Bit/hammingWeight.py | hammingWeight.py | py | 397 | python | zh | code | 0 | github-code | 6 |
27137014730 | #Programmer Sadiq
#By@Sadiqul Islam
#Use of sum() function
#sum() function
#Syntax of sum() function : sum(iterable,start)
#If you want to add all element of list.So you use it
#Example 1
list1 = list(range(0,11)) #list
app = sum(list1,0) #use of sum() function
print(app) #add element of list
#Example 2
... | swesadiqul/python-list | sum() function.py | sum() function.py | py | 470 | python | en | code | 0 | github-code | 6 |
2053821942 | from config import dogs_and_cats_config as config
from pyimagesearch.preprocessing import ImageToArrayPreprocessor, MeanPreprocessor, CropPreprocessor
from pyimagesearch.io import HDF5DatasetGenerator
from keras.models import load_model
import progressbar
import json
import numpy as np
import cv2
import argparse
import... | lykhahaha/Mine | PractitionerBundle/chapter10-dogs_vs_cats/crop_accuracy_public_test.py | crop_accuracy_public_test.py | py | 1,859 | python | en | code | 0 | github-code | 6 |
30192351629 | import numpy as np
import matplotlib.pyplot as plt
from sklearn.metrics import accuracy_score
from sklearn.model_selection import train_test_split
from sklearn.datasets import load_iris
iris = load_iris()
X = iris.data
y = iris.target
def sigmoid(inX):# ๅฎไนsigmoidๅฝๆฐ
return 1.0/(1+np.exp(-inX))
def std_da... | TJPU-ML/Homework-for-the-fall-semester-of-2018 | iris classification/็็็
/lris.py | lris.py | py | 2,416 | python | en | code | 0 | github-code | 6 |
30950837477 | def D0(fp):
Dt = 1
taur = 1./(3*Dt)
return fp**2*taur/2.
def rms(fp,ts):
Dt = 1
taur = 1./(3*Dt)
d = 2
tts = ts*1e-5
return 4*Dt*tts+fp**2*taur**2/(d*(d-1))*(2*d*tts/taur+np.exp(-2*d*tts/taur)-1)
def swim(fp,rho):
Dt = 1
taur = 1./(3*Dt)
return rho*fp*fp*taur/2.0... | samueljmcameron/ABPs_coarse_graining | experiments/2020_03_31/no_interactions_pressure/single_pressure.py | single_pressure.py | py | 1,818 | python | en | code | 0 | github-code | 6 |
73279162747 | import numpy as np
import matplotlib.pyplot as plt
# system variables
fs = 100e3
f = 1e3
phi = np.pi/4
N = 4*fs/f
n_var = 0.01
# create some empty vectors to fill
x = np.zeros(N, dtype=complex)
n_a = np.zeros(N, dtype=complex)
e = np.zeros(N)
w = np.zeros(N)
y = np.zeros(N, dtype=complex)
y_ = np.zero... | yrrapt/ada-comms | sinusoid_estimate_noise.py | sinusoid_estimate_noise.py | py | 1,012 | python | en | code | 0 | github-code | 6 |
12242514248 | #!/usr/bin/env python
from rootpy import ROOT
from rootpy.io import File
from rootpy.tree import Tree
from collections import deque
def find_maintenance(filename):
aux_file = File(filename, 'read')
aux_tree = aux_file.get('t_hk_obox')
maintenance_start = False
maintenance_list = []
gps_time_list =... | ZhenghengLi/POLAR_DATA | Preprocessing/script/split_time.py | split_time.py | py | 2,130 | python | en | code | 2 | github-code | 6 |
2568321990 | from DATA.datamanager import Datamanager
dm=Datamanager()
"""
woorden=dm.alle_woorden()
for woord in woorden :
print (woord[1] )
woord = "abluties"
woord=dm.check_by_zoekterm(woord,woord[0])
print (woord)
"""
woord = "daar"
woord=dm.check_by_zoekterm_alle_woorden(woord)
print (woord)
"""a="test"
print (len(a))
p... | johangoyvaerts/PhytonicWordGame-johan | test.py | test.py | py | 523 | python | en | code | 0 | github-code | 6 |
18446576990 | from django.conf import settings
from django.contrib import messages
from django.http import HttpResponseRedirect
from allauth.account import signals
from allauth.account.adapter import DefaultAccountAdapter
class AccountAdapter(DefaultAccountAdapter):
def is_open_for_signup(self, request):
return getatt... | epicserve/django-base-site | apps/accounts/auth_adapter.py | auth_adapter.py | py | 1,443 | python | en | code | 284 | github-code | 6 |
16647141836 | import os
import pandas as pd
import numpy as np
from tqdm.auto import tqdm
from textaugment import EDA
from nltk.tokenize import word_tokenize
class DataProcessing:
def __init__(self, input_path, output_path):
self.input_path = input_path
self.output_path = output_path
self.X = None
... | marynadorosh/test_task | src/data/make_dataset.py | make_dataset.py | py | 2,626 | python | en | code | 0 | github-code | 6 |
31437732860 | #!/bin/usr/python3
# Coding: utf-8
# Author: Rogen
# Description: ๆคๆ ช็ๆบ็ด้
from tkinter import ttk, messagebox
from GUI_language import *
import subprocess
import csv, os
import pandas as pd
import tkinter as tk
class Water_management(object):
def __init__(self,ver,code):
self.language = ver
self.internal_code =... | NCHU-rogen/ExpertSystem_Project | Planting_water.py | Planting_water.py | py | 5,947 | python | en | code | 0 | github-code | 6 |
16270189491 | import pymysql
import datetime
def insert(outsideTemp, insideTemp, targetTemp, fanState):
sql = "INSERT INTO FANS ( `time`, `outside_temp`, `inside_temp`, `target_temp`, `fan_state`) "
sql += "VALUES ( \"{0}\", {1}, {2}, {3}, {4})".format(datetime.datetime.now(), outsideTemp, insideTemp, targetTemp, fanState)
... | scottware/fans | database.py | database.py | py | 1,653 | python | en | code | 0 | github-code | 6 |
27513964476 | # -*- coding: utf-8 -*-
import os
import sys
import io
import math
def synthesize_asic_entity(yosys_location, yosys_synth_script, target_cell, entity_name, timing_constraint, synthesis_output_folder):
# Check if folder exists, and if not create
if(not os.path.isdir(synthesis_output_folder)):
os.mkdir(... | tintin10q/subterranean2digital | Reference_code/verilog_project/yosys_synth/synth.py | synth.py | py | 11,689 | python | en | code | 0 | github-code | 6 |
26625188476 | from django.conf import settings
from django.core import urlresolvers
from django.http import HttpResponse, HttpResponseRedirect
from django.shortcuts import render_to_response
from django.template import RequestContext
from django.utils.translation import ugettext_lazy as _
from product.modules.downloadable.models imp... | dokterbob/satchmo | satchmo/apps/product/modules/downloadable/views.py | views.py | py | 4,066 | python | en | code | 30 | github-code | 6 |
40633067575 | from django.urls import path
from .views import (
add_to_cart,
delete_from_cart,
order_details,
checkout,
update_transaction_records,
success
)
app_name = 'cart'
urlpatterns = [
path('^add-to-cart/<int:pk>/<slug:slug>/', add_to_cart, name="add_to_cart"),
path('^order-summary/', order_d... | sadakchap/cfe-ecom | cart/urls.py | urls.py | py | 662 | python | en | code | 0 | github-code | 6 |
20164701509 | import cv2
import mediapipe as mp
from handLandmarksDefine import *
from objectCoords import *
import time
import numpy as np
import math
import serial
start_time = 0
end_time = 0
try:
arduino = serial.Serial('COM3', 9600)
except serial.serialutil.SerialException:
print("Arduino not connected")
# lm = landm... | vladpasat/HandFlow0 | handTrackingModule.py | handTrackingModule.py | py | 16,607 | python | en | code | 0 | github-code | 6 |
8099648005 | import pandas as pd
import pydotplus
from IPython.display import Image
from sklearn import metrics
from sklearn.externals.six import StringIO
from sklearn.model_selection import train_test_split
from sklearn.tree import DecisionTreeClassifier, export_graphviz
# nazwy wszystkich kolumn z CSV
column_names = ['Elevation'... | fedoruka/fct_classification | main.py | main.py | py | 2,347 | python | en | code | 0 | github-code | 6 |
34004358765 | import numpy as np
import pandas as pd
class FillNa:
params = [True, False]
param_names = ["inplace"]
def setup(self, inplace):
N = 10 ** 6
rng = pd.date_range("1/1/2000", periods=N, freq="min")
data = np.random.randn(N)
data[::2] = np.nan
self.ts = pd.Series(dat... | Tommyhappy01/8-PANDAS | asv_bench/benchmarks/replace.py | replace.py | py | 2,121 | python | en | code | 4 | github-code | 6 |
41682530680 | """add directory id to address
Revision ID: 19e625982be8
Revises: a9adfd3c2eba
Create Date: 2018-02-02 23:11:03.395662
"""
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects import postgresql
# revision identifiers, used by Alembic.
revision = '19e625982be8'
down_revision = 'a9adfd3c2eba'
branch... | MondayHealth/provider-import | alembic/versions/19e625982be8_add_directory_id_to_address.py | 19e625982be8_add_directory_id_to_address.py | py | 973 | python | en | code | 0 | github-code | 6 |
8366348060 | # /usr/bin/env python
# -*- coding:utf-8 -*-
import sys
import math
from dataclasses import dataclass
from functools import reduce
from functools import wraps
"""
่ฟญไปฃๅจ
่ฟญไปฃๆฏPythonๆๅผบๅคง็ๅ่ฝไนไธ๏ผๆฏ่ฎฟ้ฎ้ๅๅ
็ด ็ไธ็งๆนๅผใ
่ฟญไปฃๅจๆฏไธไธชๅฏไปฅ่ฎฐไฝ้ๅ็ไฝ็ฝฎ็ๅฏน่ฑกใ
่ฟญไปฃๅจๅฏน่ฑกไป้ๅ็็ฌฌไธไธชๅ
็ด ๅผๅง่ฎฟ้ฎ๏ผ็ดๅฐๆๆ็ๅ
็ด ่ขซ่ฎฟ้ฎๅฎ็ปๆใ่ฟญไปฃๅจๅช่ฝๅพๅไธไผๅ้
่ฟญไปฃๅจๆไธคไธชๅบๆฌ็ๆนๆณ๏ผ
iter() ๅๅปบ่ฟญไปฃๅจ
... | renxiaowei-1991/pythonLearn | a01PythonLearn/package/b01PythonLearn/c23ClassHighLearn.py | c23ClassHighLearn.py | py | 24,298 | python | zh | code | 0 | github-code | 6 |
37176092039 | import numpy as np
import cv2
# Check available mouse events available with opencv library
# events = [i for i in dir(cv2) if 'EVENT' in i]
# print(events)
# General Callback function used for handling mouse events
def click_event(event, x, y, flags, param):
# Show x and y coordinate
if event == cv2.EVENT_LB... | sbhrwl/object_detection | src/opencv/mouse_events/handle_mouse_event.py | handle_mouse_event.py | py | 1,226 | python | en | code | 0 | github-code | 6 |
8101165169 | import requests
import json
from config import keys
class ConvertionException(Exception):
pass
class CryptoConverter:
@staticmethod
def get_price(quote: str, base: str, amount: str):
if quote == base:
raise ConvertionException(f'ะั ะฒะฒะตะปะธ ะพะดะธะฝะฐะบะพะฒัะต ะฒะฐะปััั {base}.')
... | voxvt/botexam | utils.py | utils.py | py | 1,270 | python | ru | code | 0 | github-code | 6 |
70968292347 | import cv2
import numpy as numpy
import os
detector = cv2.CascadeClassifier('haarcascade_frontalface_alt.xml')
recognizer = cv2.face.LBPHFaceRecognizer_create()
recognizer.read("trainer/trainer.yml")
font = cv2.FONT_HERSHEY_SIMPLEX
id = 0
name = ['none', 'Godswill', 'Ebere', 'Godswill', 'handle']
cap = cv2.VideoCap... | awesomegusS/cv | recognizer.py | recognizer.py | py | 1,158 | python | en | code | 0 | github-code | 6 |
21141233312 | import datetime
import json
import os
import time
import pandas as pd
import requests
from mystockdata import config, db
from mystockdata.db import DatetimeIndexMixin, PrefixedDfDb
from mystockdata.exceptions import HistoryDataError
class ShSeDb(DatetimeIndexMixin, PrefixedDfDb):
prefix = 'sh_se_'
class CybSe... | onecans/my | mystockdata/mystockdata/se.py | se.py | py | 9,831 | python | en | code | 2 | github-code | 6 |
72226014269 | from flask import Flask
from flask_sqlalchemy import SQLAlchemy
import os
import datetime
from sqlalchemy.dialects.postgresql import ARRAY
app = Flask(__name__)
SECRET_KEY = os.urandom(32)
app.config['SECRET_KEY'] = SECRET_KEY
app.config["SQLALCHEMY_DATABASE_URI"] = "sqlite:///db.sqlite"
app.config['RECAPTCHA_USE_S... | dananguyenucsb/ithinkihavecovid-19 | model.py | model.py | py | 1,606 | python | en | code | 1 | github-code | 6 |
20972559660 |
import torch
from tools.image import transforms, cv
from tools.image.index_map import default_map
from tools import tensor
def to_rgb(hex):
return ((hex >> 16) & 255, (hex >> 8) & 255, (hex >> 0) & 255)
def draw_box(image, box, scale=1.0, name=None, confidence=None, thickness=2, color=(255, 0, 0), text_color=... | oliver-batchelor/detection | detection/display.py | display.py | py | 3,548 | python | en | code | 0 | github-code | 6 |
21712175054 | # -*- coding: utf-8 -*-
from django.core.management.base import BaseCommand, CommandError
from optparse import make_option
from ...scraper import Scrap
class Command(BaseCommand):
option_list = BaseCommand.option_list + (make_option(
'--url',
action='store',
dest='url',
help='Sub... | jms/FlyNi-API | flyni_api/flyni/management/commands/get_data.py | get_data.py | py | 500 | python | en | code | 0 | github-code | 6 |
73364821308 | # ้่ฟ่ฏปๅssr-> txt็ๆไปถไธญๆฅๆพๅฏนๅบ็ๆๅญ็ๆฎต่ๅฏผๅบๅฏนๅบ็ๆถ้ดๆณ
"""
1. ่ฏปๅๆไปถ
1.1 ่พๅ
ฅ้่ฆๆฅๆพ็็ฑปๅ๏ผๅ
ๆฌ๏ผๅญๅน๏ผ
1.2 ่พๅ
ฅ้่ฆๆฅๆพ็ๆไปถ
1.3 ่ฏปๅๅฏนๅบๆไปถ
2. ่พๅ
ฅ้่ฆๆฅๆพ็ๆๅญๅ
ๅฎน
2.1 ๅๆถๆฅๆพ3ไธช่ฏ
3. ่ฟ่ก่ชๅจๅๆฅๆพๅฏนๅบ็ๅ
ๅฎน
3.1 ่ฟ่กๅๆถๆฅๆพ1.0็ๆฌ,้ๅฏน3ไธช่ฏ่ฟ่กๅไธๅน้
4. ่พๅบๅฏนๅบ็ๅ
ๅฎน็ๆถ้ดๆณ
4.1 ๆถ้ดๆณ่ๅ
4.2 ่พๅบๅฏนๅบ็ๆไปถ
"""
def zimu_time(search_letter_list,file_name,sum_time):
# 1.0 ่ฏปๅๆฌ้กน็ฎไธญ็ๆไปถ
f = open(file_name,"r",encoding=... | ExplosiveElements/letter_time | zimu.py | zimu.py | py | 4,494 | python | en | code | 0 | github-code | 6 |
8245327650 | from pymongo import MongoClient
from fastapi import HTTPException
from datetime import datetime
class ModekenSystemManager:
def __init__(self, username, password):
self.client = MongoClient(f'mongodb://{username}:{password}@db.modeken-system.com:27017')
self.db = self.client['modeken-system']
... | tochiman/modeken-ticket-system | backend/src/mongo.py | mongo.py | py | 5,068 | python | en | code | 0 | github-code | 6 |
74796405626 | import torch
import torchvision
from torch import nn
from torch.nn import Sequential, Conv2d, MaxPool2d, Flatten, Linear
from torch.utils.data import DataLoader
from torch.utils.tensorboard import SummaryWriter
train_dataset = torchvision.datasets.CIFAR10(root="../dataset_CIFAR10", train=True, download=True,
... | ccbit1997/pytorch_learning | src/cifar10_model.py | cifar10_model.py | py | 1,591 | python | en | code | 0 | github-code | 6 |
6250184169 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Mar 19 12:46:12 2018
@author: CTF Team
"""
from PyQt5 import uic,QtCore, QtGui, QtWidgets
from PyQt5.QtCore import QSize, Qt
import CompanyTaxUI
import sys
import pandas as pd
import csv
import numpy as np
class ApplicationWindow(QtWidgets.QMainWindow)... | larry2967/academic-projects | taxcalculator/CompanyTaxSavingsApp.py | CompanyTaxSavingsApp.py | py | 14,683 | python | en | code | 0 | github-code | 6 |
10423167833 | from __future__ import annotations
import dataclasses
from random import Random
from unittest.mock import MagicMock
import pytest
from randovania.game_description.game_patches import GamePatches
from randovania.game_description.resources.pickup_index import PickupIndex
from randovania.game_description.resources.reso... | randovania/randovania | test/games/prime2/generator/test_echoes_bootstrap.py | test_echoes_bootstrap.py | py | 3,634 | python | en | code | 165 | github-code | 6 |
8385237281 | from __future__ import absolute_import
from __future__ import print_function
import os
import sys
from argparse import ArgumentParser
if 'SUMO_HOME' in os.environ:
sys.path.append(os.path.join(os.environ['SUMO_HOME'], 'tools'))
import sumolib # noqa
def get_options(args=None):
parser = ArgumentParser(descr... | ngctnnnn/DRL_Traffic-Signal-Control | sumo-rl/sumo/tools/turn-defs/turnFile2EdgeRelations.py | turnFile2EdgeRelations.py | py | 1,716 | python | en | code | 17 | github-code | 6 |
14205921043 | import collections
class Node:
def __init__(self, value):
self.value = value
self.neighbours = []
def make_graph(n_of_nodes, edges):
graph = []
for i in range(n_of_nodes):
node = Node(i+1)
graph.append(node)
for first_node, second_node in edges:
... | jdalbosco/hackerrank | preparation-kits/one-week/d6-mock_test.py | d6-mock_test.py | py | 1,287 | python | en | code | 0 | github-code | 6 |
37430288968 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
name: ็ฅจๅๆบ็ฅจ้ข่ฎข็ณป็ป10ๅคSQLๆณจๅ
ฅ
referer: http://www.wooyun.org/bugs/wooyun-2010-0118867
author: Lucifer
description: multi sqliใ
'''
import sys
import requests
class piaoyou_ten_sqli_BaseVerify:
def __init__(self, url):
self.url = url
def run(self):
h... | iceyhexman/onlinetools | scanner/plugins/cms/piaoyou/piaoyou_ten_sqli.py | piaoyou_ten_sqli.py | py | 1,575 | python | en | code | 1,626 | github-code | 6 |
74725395066 | from datetime import datetime
from pynamodb.models import Model
from pynamodb.attributes import UnicodeAttribute, NumberAttribute, UTCDateTimeAttribute
from flask_blog.lib.utils import is_production
import os
class Entry(Model):
class Meta:
table_name = "serverless_blog_entries"
region = 'ap-north... | uni51/serverless_python_tutorial | application/flask_blog/models/entries.py | entries.py | py | 1,030 | python | en | code | 0 | github-code | 6 |
72995183868 | import os
import sys
import time
import struct
import debug
import eosapi
from eosapi import N, push_transactions
from common import prepare, Sync
from tools import cpp2wast
def init_debug(wasm=True):
def init_decorator(func):
def func_wrapper(*args, **kwargs):
if wasm:
_src_di... | learnforpractice/pyeos | programs/pyeos/tests/wasm/lab/t.py | t.py | py | 3,368 | python | en | code | 131 | github-code | 6 |
10966117387 | import os
import clip
import torch.nn as nn
from datasets import Action_DATASETS
from torch.utils.data import DataLoader
from tqdm import tqdm
import wandb
import argparse
import shutil
from pathlib import Path
import yaml
from dotmap import DotMap
import pprint
import numpy
from modules.Visual_Prompt imp... | Lycus99/SDA-CLIP | test.py | test.py | py | 11,801 | python | en | code | 0 | github-code | 6 |
3469450468 | # As per the requirements:
# Marshall Christian 001520145
# This table was inspired with the help of Cemel Tepe as well as Cemel Tepe - "Let's go hashing"
# Space complexity = O(n)
class HashTable(object):
def __init__(self, size=10):
self._struct = self.struct_creation(size)
# insert() hashes the ... | MarsTheProgrammer/Delivery-System-for-Packages | HashTable.py | HashTable.py | py | 2,237 | python | en | code | 0 | github-code | 6 |
44091100190 | import os
import os.path
import numpy as np
from PIL import Image
from PIL import ImageDraw
from PIL import ImageFont
_logo_fonts = { "Arial" : ImageFont.truetype(os.path.abspath(os.path.dirname(__file__))+"/arial.ttf", 200),
"ArialBold" : ImageFont.truetype(os.path.abspath(os.path.dirname(__file__... | jisraeli/DeepBind | code/libs/deepity/deepity/tape2logo.py | tape2logo.py | py | 13,154 | python | en | code | 85 | github-code | 6 |
14038264100 | from app.email_body import EmailBody
class User:
def __init__(self, name, nickname, email, locations):
self.name = name
self.nickname = nickname
self.email = email
self.locations = locations
self.artists = []
self.venues = []
self.promoters = []
self... | polyccon/ra-events-notifier | app/user.py | user.py | py | 2,621 | python | en | code | 1 | github-code | 6 |
43243820127 | from PyQt5.QtCore import QThread, pyqtSignal
from simplekml import Kml, Snippet, Types
from math import radians, cos, sin, asin, degrees, atan2
import os
class PlotFiles(QThread):
progressSignal = pyqtSignal(int)
threadMessage = pyqtSignal(str)
def __init__(self, results, issilist, google, gps):
... | stephenmhall/Coordinator_parser | plotfile.py | plotfile.py | py | 5,066 | python | en | code | 0 | github-code | 6 |
73712875067 | import pandas as pd
import os
def splitByDay():
for num in range(1,9,1):
print("now is working in---"+"HO_",num,".csv")
print('\n')
#df=pd.read_csv("HO_{}.csv".format(str(num) ) )
data_train=pd.read_csv("I:\Anacoda3\AcondaProject\dataOfOrderAnalysis\HO_... | jasscical/pythonLearning | 06_ๆๆฏๅคฉๅๆ184ๅผ ่กจ.py | 06_ๆๆฏๅคฉๅๆ184ๅผ ่กจ.py | py | 3,149 | python | en | code | 0 | github-code | 6 |
7847083907 | #!/usr/bin/env python
"""
.. module::robot_state
:platform: Unix
:synopsis: Python module for the state machine
ROS node which keeps track of the robot pose and battery status.
Being a simpler version, for the documentation please refer to `the original code <https://github.com/buoncubi/arch_skeleton>`_
""... | SamueleD98/assignment_1 | scripts/robot_state.py | robot_state.py | py | 2,198 | python | en | code | 0 | github-code | 6 |
32381382238 | import string
import os
import random
import bs4
from urllib import request
url = "http://reddit.com"
urlPage = request.urlopen(url).read()
soup = bs4.BeautifulSoup(urlPage, "html.parser")
img_list = []
for img in soup.find_all('img'):
img_item = str(img.get('src')).split('//')
img_list.append(img_item[1])
#print... | techreign/Webscraping | ImageScraper.py | ImageScraper.py | py | 739 | python | en | code | 0 | github-code | 6 |
27520740533 | import os
import datetime
import netCDF4
def handle_netcdf_scheme_wrf(var_names, file_name, run, model, st):
# try:
if os.path.exists(file_name):
data_list = []
file = netCDF4.Dataset(file_name)
var1 = file.variables[var_names[0]][:]
var2 = file.variabl... | RevertonLuis/Ensemble | lib/handle_netcdfs.py | handle_netcdfs.py | py | 2,022 | python | en | code | 1 | github-code | 6 |
10502966682 | from rest_framework.test import APITestCase
from ...services.notification_service import NotificationService
from django.urls import reverse
class TestNotificationAPI(APITestCase):
def setUp(self):
self.payload = {
"title": "Winter discount sale started",
"description": "Enter cou... | anojkr/onboarding-project | push_notification/apps/notification/tests/unit/test_notification.py | test_notification.py | py | 1,381 | python | en | code | 0 | github-code | 6 |
43447073770 | import sys, re
from argparse import ArgumentParser
parser = ArgumentParser(description = 'Calculate the percentage of each nucleotide in the sequence')
parser.add_argument("-s", "--seq", type = str, required = True, help = "Input sequence")
args = parser.parse_args()
seq = seq.upper()
if re.search('^[ACGTU]+$', args.... | stepsnap/git_HandsOn | Percentage.py | Percentage.py | py | 1,350 | python | en | code | 0 | github-code | 6 |
44855918296 | class Solution:
def countBits(self, num):
"""
:type num: int
:rtype: List[int]
"""
if num < 0:
return [0]
ans = []
for i in range(0,num+1):
ans.append(len(bin(i)[2:].replace('0','')))
return ans | sandeepjoshi1910/Algorithms-and-Data-Structures | countbits.py | countbits.py | py | 308 | python | en | code | 0 | github-code | 6 |
4582056106 | import numpy as np
import pandas as pd
from matplotlib import pyplot as plt
import seaborn as sns
from scipy import stats
import collections
import time
from sklearn import cluster
from sklearn.metrics import adjusted_rand_score
import scipy as sp
from tqdm import tqdm
from sklearn.manifold import MDS
from run_dist_mat... | pdavar/Analysis-of-3D-Mouse-Genome-Organization | chromosome_alignment.py | chromosome_alignment.py | py | 16,670 | python | en | code | 0 | github-code | 6 |
200126759 | import torch
import torchvision.transforms as transforms
from PIL import Image
from model import LeNet
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
def main():
transform = transforms.Compose(
[transforms.Resize((32, 32)),
transforms.ToTensor(),
transforms.Nor... | ChengZhangX/Deeplearning-for-cv | LetNet model/predict.py | predict.py | py | 893 | python | en | code | 0 | github-code | 6 |
73983128507 | import numpy as np
import sys
matrix = None
def main():
global matrix
matrix = np.array([[1,1,-1],[6,2,2],[-3,4,1]],dtype=float)
aug_matrix = np.concatenate((matrix,identity_matrix(3)),axis=1)
#gaussian2(aug_matrix) #gaussian elimination with maximum pivoting
LUdecomp(matrix) #LU decompose... | akiraminase/numerical_methods | matrix_calc.py | matrix_calc.py | py | 2,023 | python | en | code | 0 | github-code | 6 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.