seq_id string | text string | repo_name string | sub_path string | file_name string | file_ext string | file_size_in_byte int64 | program_lang string | lang string | doc_type string | stars int64 | dataset string | pt string | api list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
25815068031 | import csv
from utils import DateCounter
def pad(filename: str):
#---------------read_in---------------
data = []
with open(filename, mode='r') as file:
reader = csv.reader(file)
for row in reader:
data.append(row)
#---------------padding---------------
newdata = []
... | UX404/Financial-data-processing | data_process/padding.py | padding.py | py | 1,068 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "csv.reader",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "utils.DateCounter",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 28,
"usage_type": "call"
}
] |
12100401616 | '''
Aoccdrnig to a rscheearch at Cmabrigde Uinervtisy, it deosn't mttaer in waht oredr the ltteers in a wrod are, the olny iprmoatnt tihng is taht the frist and lsat ltteers be at the rghit pclae. The rset can be a toatl mses and you can sitll raed it wouthit porbelm. Tihs is bcuseae the huamn mnid deos not raed ervey ... | Shaywei/MyDevTools | Python/misc/mock_iterview_quinn.py | mock_iterview_quinn.py | py | 1,757 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.Counter",
"line_number": 29,
"usage_type": "call"
}
] |
38870006486 | import gym
import tensorflow as tf
from tensorflow import keras
import random
import numpy as np
import datetime as dt
import imageio
import os
#
# conda activate tf
# export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$CONDA_PREFIX/lib/
# conda install -c conda-forge cudatoolkit=11.2 cudnn=8.1.0
# o pip install tensorflow
# p... | nhovadia/CSCI4830_final_project | SpaceInvaders_Training.py | SpaceInvaders_Training.py | py | 21,331 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "gym.make",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.Model",
"line_number": 59,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.keras",
"line_number": 59,
"usage_type": "name"
},
{
"api_name": "tensorflow.kera... |
37158413403 | from sklearn.datasets import load_iris
from sklearn.preprocessing import StandardScaler
import matplotlib.pyplot as plt
from sklearn.decomposition import PCA
data = load_iris()
X = data.data
X[:, 0] /= 2.54
X[:, 1] /= 100
def scikit_pca(X):
X_std = StandardScaler().fit_transform(X)
sklearn_pca = PCA(n_compone... | QiliWu/Python-datavis | datavis/PCA.py | PCA.py | py | 668 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "sklearn.datasets.load_iris",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.StandardScaler",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sklearn.decomposition.PCA",
"line_number": 13,
"usage_type": "call"
},
... |
20913974107 | from django.contrib import admin
from django.urls import path, include
from django.conf import settings
from django.conf.urls.static import static
from rest_framework_simplejwt.views import TokenObtainPairView, TokenRefreshView
from rest_framework import permissions
from drf_yasg.views import get_schema_view
from drf_... | almazuulu/BookCatalogue | bookcatalogue/bookcatalogue/urls.py | urls.py | py | 1,502 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "drf_yasg.views.get_schema_view",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "drf_yasg.openapi.Info",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "drf_yasg.openapi",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": ... |
16627798046 | from flask import Flask, request
import json
app = Flask(__name__)
# create python dictionary to hold user data
user_account = {
1:
{"first_name": 'betty',
"last_name": 'joy',
"phone_number": '0493827405',
"email_address": 'bettyjoy@accounts.com'
}
}
user_count = 1
... | rikiapst/cephaloPy | user.py | user.py | py | 995 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "flask.request.data",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"li... |
21952104219 | import itertools
import logging
from django.conf import settings
from django.core.management.base import BaseCommand
from autoslug.utils import slugify
from rainboard.models import (
Forge,
Namespace,
Project,
Robotpkg,
update_github,
update_gitlab,
)
class Command(BaseCommand):
help = ... | Gepetto/dashboard | rainboard/management/commands/project.py | project.py | py | 2,763 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "django.conf.settings.RAINBOARD_RPKG",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 27,
"usage_type": ... |
29462931299 | from evdev import ecodes
from datetime import datetime, timedelta
from four_button_pages import StaticMenu, TokenEntryMenu, PAYGStatusMenu, ServiceMenu
class FourButtonUserInterface(object):
BACKLIGHT_TIMEOUT = 300
def __init__(self, lcd, conn, kbd, static_pages):
self.conn = conn
self.disp ... | victronenergy/dbus-characterdisplay | four_button_ui.py | four_button_ui.py | py | 4,511 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime.now",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "four_button_pages.PAYGStatusMenu",
"line_number": 22,
"usage_type": "call"
},
{
"api_name... |
29224887814 | """ Plot cross-section profile: Multiple cross-sections
"""
import sys
sys.path.append('/home/zhouyj/software/seis_view')
import numpy as np
import matplotlib.pyplot as plt
from reader import read_ctlg, slice_ctlg
import warnings
warnings.filterwarnings("ignore")
# i/o paths
fctlg = 'input/catalog_example.csv'
title =... | ali4413/Seismicity-Visualization | Python/plot_prof_multi-cross-sec.py | plot_prof_multi-cross-sec.py | py | 3,432 | python | en | code | null | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "warnings.filterwarnings",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.array",
... |
38710107620 | from discord_slash import cog_ext
from discord.ext import commands
from txns import get_wallet
import asyncio
from embeds import *
import discord
import pytz
from datetime import datetime
import random
from client import client
from txns import *
from whitelist import ghosts, ghostsIcons, fo_rank1, fo_rank2, fo_rank3, ... | AngelsOfAres/Fallen-Order-Keepers | c_heimdall/transfers.py | transfers.py | py | 32,658 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "client.client.get_guild",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "client.client",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "discord.ext.commands.Cog",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "d... |
26833816694 | # https://pypi.org/project/firebirdsql/
# pip install firebirdsql
import firebirdsql
from decouple import config
# pip install mysql-connector-python
import mysql.connector
import re
import os
try:
# Mysql Local
# con_mysql = mysql.connector.connect(
# host=config("host"),
# user=config("user... | sistemadevsys/db_firebird_mysql | update_clientes.py | update_clientes.py | py | 1,549 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "mysql.connector.connector.connect",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "mysql.connector.connector",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "mysql.connector",
"line_number": 20,
"usage_type": "name"
},
{
"... |
19663543751 | import tensorflow as tf, numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1.inset_locator import zoomed_inset_axes
from baselines.bench.monitor import load_results
logger_dir = '/home/lihepeng/Documents/Github/tmp/ev/cpo/train'
df_train = load_results(logger_dir)
logger_dir =... | liudading/tmp | ev/plot_d.py | plot_d.py | py | 5,409 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "baselines.bench.monitor.load_results",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "baselines.bench.monitor.load_results",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "baselines.bench.monitor.load_results",
"line_number": 14,
"usage... |
40095183195 | from airflow import DAG
from airflow.operators.dummy_operator import DummyOperator
from airflow.operators.python_operator import PythonOperator
from datetime import datetime
from Tecnocasa.tecnocasa_main import scrape_tecnocasa_url
default_args = {
'start_date': datetime(2023, 1, 1),
'retries': 1,
}
dag = DAG... | pasqualepescina/AIHome | dags/dag.py | dag.py | py | 630 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "airflow.DAG",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "airflow.operators.dummy_operator.DummyOperator",
"line_number": 14,
"usage_type": "call"
},
{
"api_n... |
8757517027 | from urllib3.exceptions import ProtocolError, ReadTimeoutError
import tweepy
import dataset
import json
from tweepy import StreamListener
from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
from textblob import TextBlob
from models import *
import pandas as pd
import numpy as np
from config import *
e... | paulinaczheng/twitter_flu_tracking | twitter_package/tweet-stream.py | tweet-stream.py | py | 6,168 | python | en | code | 11 | github-code | 6 | [
{
"api_name": "vaderSentiment.vaderSentiment.SentimentIntensityAnalyzer",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "tweepy.API",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 70,
"usage_type": "call"
},
{
"ap... |
32802746456 |
import gensim
import gensim.downloader as api
from gensim.models import Word2Vec as w2v
import inspect
import logging
import warnings
import numpy as np
from sklearn import *
from sklearn.metrics.pairwise import cosine_similarity
from sklearn.metrics.pairwise import pairwise_distances
import os
... | d4g10ur0s/InformationRetrieval_21_22 | paradotea/erwthma_4.py | erwthma_4.py | py | 9,321 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "elasticsearch.Elasticsearch",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "warnings.filterwarnings",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "gensim.models.Word2Vec.load",
"line_number": 98,
"usage_type": "call"
},
{
"a... |
17961034725 | from flask import render_template, redirect, url_for, request
from surv import app
from .storage import c, new_game, save_game, load_game
@app.route('/')
def home():
return redirect(url_for('new'))
@app.route('/new/')
def new():
new_game()
return redirect(url_for('list'))
@app.route('/list/')
def list():... | pkugelmass/survivor | surv/routes.py | routes.py | py | 1,892 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.redirect",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.url_for",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "surv.app.route",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "surv.app",
"line_number"... |
34528771620 |
# https://medium.com/javarevisited/the-ultimate-guide-to-binary-trees-47112269e6fc
# There are two ways check both
#udacity course way
class Node(object):
def __init__(self, value):
self.value = value
self.left = None
self.right = None
class BinaryTree(object):
def __init__(self, ... | ved93/PythonPractice | data-strutures/binary_tree.py | binary_tree.py | py | 3,507 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 87,
"usage_type": "call"
}
] |
20831019932 | from django.urls import path
from posts.views import *
urlpatterns = [
path("", MainPage.as_view(), name="main"),
path("follow_post/", FollowPost.as_view(), name="follow_post"),
path("posts/<int:user_id>/", PostByUserId.as_view(), name="post"),
path("posts/view_post/<int:post_id>", ViewPost.as_view()... | YevheniiMorozov/social | gramm/posts/urls.py | urls.py | py | 632 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
24529853326 | import numpy as np
import torch
import torch.nn as nn
from lib.datasets.utils import class2angle
from utils import box_ops
import math
padsize = np.array([28.,11.],dtype=np.float32)
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
def affine_transform(pt, t):
new_pt = np.array([pt[0], pt[1... | HIYYJX/MonoGAE | lib/helpers/decode_helper.py | decode_helper.py | py | 10,233 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "numpy.array",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.device",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
... |
8561287023 | import requests
import json
from typing import Dict, List
from config.config_secret import secret_file_path
class Auth:
@classmethod
def get_secret(cls, secret_types: List[str]) -> Dict[str,str]:
"""json 파일로부터 요구되는 시크릿키 목록을 읽어 반환한다.
Args:
secret_types : 요구되는 시크릿 키 이름들을 담은 배열
... | Ywoosang/Dossa-Notification | app/auth/auth.py | auth.py | py | 4,905 | python | ko | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "config.config_secret.secret_file_path",
"line_number": 24,
"usage_type": "argument"
},
{
"api_name": "json.load",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "typing... |
14958626079 | # -*- coding: utf-8 -*-
from datetime import datetime, date
import logging
import re
ERROR_PARSING_DATE = "Error parsing date"
def from_iso_format(string):
parts = [int(a) for a in string.split("-")]
if len(parts) != 3:
raise ValueError
return date(parts[0], parts[1], parts[2])
def datetime... | getyoti/yoti-python-sdk | yoti_python_sdk/date_parser.py | date_parser.py | py | 1,157 | python | en | code | 9 | github-code | 6 | [
{
"api_name": "datetime.date",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "re.split",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "logging.warning",
"line_... |
22648817021 | import matplotlib.pyplot as plt
from scipy.io import loadmat
import numpy as np
import pandas
from os.path import join,exists
from os import mkdir
import cv2
import math
import os
rho = 1
actions = ['No-Action', 'sweeping', 'gargling', 'opening cupboard', 'washing hands', 'eating', 'writing', 'wiping',
'dr... | Vincent-Fer/activity-recognition-prediction-online | encodage/encodage.py | encodage.py | py | 11,449 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.gca",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "matp... |
19024426652 | from enum import Enum
from typing import Union
from typing import NamedTuple
from typing import Callable
class TaskType(Enum):
"""Type of machine learning task
Attributes
----------
MULTI_CLASS_CLASSIFICATION
multi-class classification
MULTI_LABEL_CLASSIFICATION
multi-label classi... | DanRuta/xva-trainer | lib/_dev/pyannote/audio/train/task.py | task.py | py | 5,402 | python | en | code | 78 | github-code | 6 | [
{
"api_name": "enum.Enum",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "enum.Enum",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "typing.NamedTuple",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "torch.nn.nn.LogSoftmax",
"li... |
37273642245 | import rosbag
import sys
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
import csv
import glob
import os
from tf.transformations import euler_from_quaternion
from scipy.interpolate import interp1d
from scipy.spatial.transform import Rotation as R
import numpy as np
if (len(s... | ZiyouZhang/rotors_datmo | scripts/bag_analysis.py | bag_analysis.py | py | 13,599 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "glob.glob",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 18... |
22388129127 | import pygame
# Initialize pygame
pygame.init()
# Set up window
size = (400, 400)
screen = pygame.display.set_mode(size)
pygame.display.set_caption("Circle Line")
# Set up colors
WHITE = (0, 0, 0)
RED = (255, 0, 0)
GREEN = (0, 255, 0)
click_sound = pygame.mixer.Sound("clicked_sound.mp3")
# Set up circles
circle_ra... | Vormamim/boxes | matrix_stage3.py | matrix_stage3.py | py | 2,268 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pygame.init",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pygame.display.s... |
30859953212 | import configparser
import pandas as pd
from datetime import datetime
import os
from pyspark.sql import SparkSession
from pyspark.sql.functions import udf, col
from pyspark.sql.functions import year, month, dayofmonth, hour, weekofyear, dayofweek, date_format
import pyspark.sql.functions as F
from pyspark.sql.types imp... | yashth/Data_Lake | etl.py | etl.py | py | 7,406 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql... |
3323951129 | #!/usr/bin/python
import os
import re
import math
import matplotlib.pyplot as plt
import numpy
from numpy import sin, pi, arange
import astropy.io
from astropy.io import fits
from PIL import Image
# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
# This script contrasts photon index and l... | aprilcotwut/photon_index_binning | compare_bin.py | compare_bin.py | py | 15,988 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.listdir",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.figure",... |
20146094706 | from datetime import datetime, timedelta
from tqdm import tqdm
import aiohttp
import asyncio
from pymongo import MongoClient
from private import royale_token
client = MongoClient('mongodb://localhost:27017/')
MAX_TROPHIES = "Соперник(и) с наибольшим количеством кубков:"
MAX_BEST_TROPHIES = "Соперник(и) с наибольши... | dfomin/clashroyaledata | data_analyzer.py | data_analyzer.py | py | 8,146 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "private.royale_token",
"line_number": 52,
"usage_type": "name"
},
{
"api_name": "private.royale_token",
"line_number": 69,
"usage_type": "name"
},
{
"api_name": "datetim... |
24958905519 | import bpy
from bpy.props import *
from bpy.types import Node, NodeSocket
from arm.logicnode.arm_nodes import *
class SwitchNode(Node, ArmLogicTreeNode):
'''Switch node'''
bl_idname = 'LNSwitchNode'
bl_label = 'Switch'
bl_icon = 'CURVE_PATH'
min_inputs = 1
min_outputs = 1
def __init__(... | phillipmacon/armory-3d-engine | blender/arm/logicnode/logic_switch.py | logic_switch.py | py | 1,162 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "bpy.types.Node",
"line_number": 6,
"usage_type": "name"
}
] |
26486257932 | import dcos.config
import dcos.http
import dcos.package
import json
import logging
import os
import re
import requests
import s3
import shakedown
import subprocess
import urllib
def _init_logging():
logging.basicConfig(level=logging.INFO)
logging.getLogger('dcos').setLevel(logging.WARNING)
logging.getLog... | KoddiDev/spark-streaming-mesos | tests/utils.py | utils.py | py | 8,430 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "logging.basicConfig",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "logging.WARNI... |
41814241194 | from django.shortcuts import render, get_object_or_404
from django.http import Http404
from .models import Question
# Create your views here.
def index(request):
try:
latest_question_list = Question.objects.order_by('pub_date')[:5]
except Question.DoesNotExist:
raise Http404('Question does ... | Vladimir-vut/django_mysite | mysite/pools/views.py | views.py | py | 1,074 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "models.Question.objects.order_by",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "models.Question.objects",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "models.Question",
"line_number": 12,
"usage_type": "name"
},
{
"api... |
11342650070 | # -*- encoding: utf-8 -*-
import requests
from scdl import CLIENT_ID
class Client():
def get_collection(self, url, token, maxpage):
params = {
'client_id': CLIENT_ID,
'linked_partitioning': '1',
}
if token:
params['oauth_token'] = token
resourc... | jz1/scdl | scdl/client.py | client.py | py | 1,399 | python | en | code | null | github-code | 6 | [
{
"api_name": "scdl.CLIENT_ID",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_number": 19,
"usage_type": "call"
}
] |
36947412448 | from functools import partial
from random import shuffle
from kivy.clock import Clock
from kivy.app import App
from kivy.lang import Builder
import ani_property
ani_property.install()
KV_CODE = r'''
GridLayout:
rows: 4
cols: 4
padding: 20
spacing: 20
'''
def shuffle_children(widget, dt):
childr... | gottadiveintopython/ani-property | examples/magnet.py | magnet.py | py | 1,011 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "ani_property.install",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "random.shuffle",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "kivy.app.App",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "kivy.lang.Builder.loa... |
36010827079 | import json
import serial
import numpy as np
class CameraMLX90640(serial.Serial):
"""
Implements communications camera_mlx90640_firmware
"""
FRAME_HEIGHT = 24
FRAME_WIDTH = 32
def __init__(self, port):
self.port_param = {'port': port, 'baudrate': 115200, 'timeout': 2.0}
super(... | willdickson/camera_mlx90640 | camera_mlx90640/camera_mlx90640.py | camera_mlx90640.py | py | 1,876 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "serial.Serial",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "json.dumps",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "json.decoder",
"line_numb... |
40899444822 | """DeviceManagement URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.8/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')
... | BensonXiong/DeviceManagement | DeviceManagement/DeviceManagement/urls.py | urls.py | py | 1,371 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.conf.urls.url",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.include",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_... |
34253272584 | from flask_app.config.mysqlconnection import connectToMySQL
from flask import flash
from flask import re # the regex module
# create a regular expression object that we'll use later
EMAIL_REGEX = re.compile(r'^[a-zA-Z0-9.+_-]+@[a-zA-Z0-9._-]+\.[a-zA-Z]+$')
class User:
def __init__( self , data ):
self.... | gerald-cakoni/PythonAssignments | flask_mysql/validation/dojo_survey/flask_app/models/user.py | user.py | py | 2,765 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.re.compile",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.re",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "flask_app.config.mysqlconnection.connectToMySQL",
"line_number": 23,
"usage_type": "call"
},
{
"api_name"... |
30056444826 | import re
from collections import defaultdict
def parse_rule_container(rule):
regex = re.compile(r'(.*) bags contain(.*)')
matches = regex.match(rule)
return matches.group(1), matches.group(2)
def parse_contained_rule(rule):
regex = re.compile(r'((\d+) ([a-z ]+) bag)+')
all_matches = regex.finda... | nithish-thomas/adventOfCode2020 | aoc20/day7/day7_1.py | day7_1.py | py | 1,700 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "re.compile",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict"... |
10812461830 | # -*- coding: utf-8 -*-
import os
from sys import path
from django.conf.global_settings import (TEMPLATE_CONTEXT_PROCESSORS,
STATICFILES_FINDERS)
BASE_DIR = os.path.dirname(os.path.dirname(__file__))
path.append(os.path.join(BASE_DIR, 'apps'))
SECRET_KEY = '_c#^&2xzwd@xt@i2b... | andreyshipilov/wknd_django | wknd_project/settings/common.py | common.py | py | 2,378 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "os.path.dirname",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "sys.path.append",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_numbe... |
19593396615 | import h5py
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.colors import ListedColormap
from mpl_toolkits.mplot3d import Axes3D
from sklearn.metrics import roc_auc_score, roc_curve
import numpy as np
from tensorflow.keras import datasets, layers, models
from sklearn.metrics import confusion_matrix
... | Yoichiro-Y/oc-nn-ensemble | .history/mnist_20221216201506.py | mnist_20221216201506.py | py | 1,596 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "h5py.File",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.datasets.mnist.load_data",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.datasets.mnist",
"line_number": 19,
"usage_type": "attribute"
},
... |
39869333421 | from django import forms
from .models import Order, ProductReview
PRODUCT_QUANTITY_CHOICES = [(i, str(i)) for i in range(1, 21)]
class CustomSelectWidget(forms.Select):
template_name = 'store/tst.html'
class OrderForm(forms.Form):
'''in the single_product view, we pass the product instance to the form.'''
... | TodorToshev/Own-Blueprint | store/forms.py | forms.py | py | 1,612 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "django.forms.Select",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.forms.Form",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "django.for... |
24370174876 | import unittest
import matplotlib.pyplot as plt
class TestCreateParticles(unittest.TestCase):
def test_create_particles(self):
from src.dataio import GridIO, FlowIO
from src.create_particles import Particle, LaserSheet, CreateParticles
# Read-in the grid and flow file
grid = GridI... | kalagotla/syPIV | test/test_create_paritcles.py | test_create_paritcles.py | py | 2,496 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "unittest.TestCase",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "src.dataio.GridIO",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "src.dataio.FlowIO",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "src.create_... |
2310558186 | import requests
import os
from requests_oauthlib import OAuth2Session
from dotenv import load_dotenv
load_dotenv()
from config import twitter_scopes
from mongo_db import mongo
redirect_uri = os.environ.get("REDIRECT_URI")
client_id = os.environ.get("CLIENT_ID")
class Token_Manager():
def __init__(self):
... | tyrovirtuosso/Twitter_Bookmark-Manager | token_manager.py | token_manager.py | py | 1,780 | python | en | code | 6 | github-code | 6 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
... |
39269918095 | import copy
import os
import shlex
import sys
import textwrap
from functools import wraps
def bash_quote(w, quote):
'''
Quote word *w* with quote character *quote* which may be empty, single quote or double quote.
'''
assert quote in ('', '"', "'")
if quote == "'":
w = w.replace("'", quote... | 1and1/dim | ndcli/dimcli/cliparse.py | cliparse.py | py | 19,558 | python | en | code | 39 | github-code | 6 | [
{
"api_name": "os.environ.get",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "copy.deepcopy",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "copy.copy",
"line_nu... |
25262905175 | import datetime
import logging
from concurrent import futures
from google.appengine.ext import ndb
from upvote.gae.bigquery import tables
from upvote.gae.datastore.models import exemption as exemption_models
from upvote.gae.datastore.models import host as host_models
from upvote.gae.datastore.models import policy as... | google/upvote_py2 | upvote/gae/lib/exemption/api.py | api.py | py | 21,555 | python | en | code | 449 | github-code | 6 | [
{
"api_name": "upvote.shared.constants.EXEMPTION_STATE",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "upvote.shared.constants",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "upvote.shared.constants.PLATFORM",
"line_number": 72,
"usage_type": ... |
4143583368 | import torch
import torchvision
from torchvision.io import read_image
import os
from torch.utils.data import Dataset
"""
This part of the script is an easy API to load and get the datasets
"""
def get_dataset(dataset: str, c_angle=30, new_size=[32, 32], batch_size=300):
"""
:param new_size:
:param c_ang... | TamirShazman/ML2-Project | code/datasets.py | datasets.py | py | 3,740 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torchvision.transforms.ToTensor",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "torchvision.transforms.ToTensor",
"line_number": 24,
"usage_type": "call"
}... |
33975836628 | from flask import Flask, g
from flask.ext.login import LoginManager
import user_model
DEBUG = True
PORT = 8000
HOST = '0.0.0.0'
app = Flask(__name__)
app.secret_key = 'randomstuff'
login_manager = LoginManager()
login_manager.init_app(app)
login_manager.login_view = 'login'
@login_manager.user_loader
def load_user... | kaka21garuda/FlaskSocial | app.py | app.py | py | 972 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.ext.login.LoginManager",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "user_model.User.get",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "user_mod... |
42663326199 | import os
import numpy as np
import pandas as pd
import matplotlib
matplotlib.use('agg')
import matplotlib.pyplot as plt
plt.ioff()
import seaborn
def compare_abs_auroc_differences(results_dir,
model_a_path, model_a_descriptor,
model_b_path, model_b... | rachellea/explainable-ct-ai | src/evals/eval_by_scan_attr_compare.py | eval_by_scan_attr_compare.py | py | 7,694 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "matplotlib.use",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.ioff",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "os.path.exists",... |
71964995709 | from sklearn.neural_network import MLPClassifier
from sklearn.model_selection import GridSearchCV
from sklearn.model_selection import train_test_split
from sklearn.metrics import precision_recall_curve
from sklearn.metrics import roc_auc_score
import os
import dill as dpickle
import numpy as np
import pandas as pd
imp... | kubeflow/code-intelligence | py/label_microservice/mlp.py | mlp.py | py | 6,621 | python | en | code | 55 | github-code | 6 | [
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.precision_recall_curve",
"line_number": 83,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 83,
"usage_type": "call"
}... |
23555067153 | #!/usr/bin/python3
import numpy, tqdm, json, os, random
import scipy.signal
import util
import speech_features
RATE = 8000
NUMCEP = 16
CLASSES = 45
LENGTH = 4000
DELTA = 2000
LABEL_SCALE = 100
LABEL_SAVE_JSON = "switchboard-labels.json"
OUT_FILE = "melspecs-switchboard.npy"
EMPTY = "<EMPTY>"
SIL = "SIL"
SIL_DROPO... | ychnlgy/Switchboard2.0 | src/load.py | load.py | py | 5,989 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.join",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "util.FragmentedFile",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "matplotlib.use",
"l... |
71592748667 | import datetime
import json
import math
import threading
import traceback
import asyncio
import pandas as pd
from constants import (
MAP_MARKET_ID_TO_NAME as MARKET_MAP,
AVAILABLE_MARKETS,
ALL_MARKET_LABEL,
QUERY_INTERVAL,
MINT_DIVISOR,
CONTRACT_ADDRESS
)
from prometheus_metrics import metrics... | overlay-market/ChainMonitoring | metrics/upnl.py | upnl.py | py | 9,876 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "constants.CONTRACT_ADDRESS",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "json.dump",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "constants.AVAIL... |
29906192183 | # ***** BEGIN GPL LICENSE BLOCK *****
#
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
#
# This program is distribute... | meshonline/Surface-Heat-Diffuse-Skinning | addon/surface_heat_diffuse_skinning/__init__.py | __init__.py | py | 14,549 | python | en | code | 170 | github-code | 6 | [
{
"api_name": "bpy.types",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "bpy.ops.object.mode_set",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "bpy.ops",
"line_number": 66,
"usage_type": "attribute"
},
{
"api_name": "bpy.ops.object.mo... |
35243133405 | import sys
import os
import json
if "test_script" not in sys.modules:
from pyakaikkr.CompareCifKkr import CompareCifKkr
def get_kkr_struc_from_cif(ciffilepath: str, specx: str, displc: bool,
use_bravais=True, remove_temperaryfiles=True,
fmt="cif"):
"""get... | AkaiKKRteam/AkaiKKRPythonUtil | util/cif2kkr_test_script/cif2kkr_convert_to_akaikkrparam_sample.py | cif2kkr_convert_to_akaikkrparam_sample.py | py | 3,825 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "sys.modules",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "pyakaikkr.CompareCifKkr.CompareCifKkr",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "os.rmd... |
7577852611 | from django import forms
from models import Attachment
class AttachmentForm(forms.ModelForm):
def __init__(self, *args, **kwargs):
self.user = kwargs.pop('user', None)
self.actived = kwargs.pop('actived', False)
super(AttachmentForm, self).__init__(*args, **kwargs)
def sav... | vicalloy/django-lb-attachments | attachments/forms.py | forms.py | py | 616 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "models.Attachment",
"line_number": 20,
"usage_type": "name"
}
] |
38316017126 | from flask import Flask
from flask_sqlalchemy import SQLAlchemy
db = SQLAlchemy()
#imports routes
from .routes import home_blueprint
# from .database.model import *
def create_app():
app = Flask(__name__)
#load config file
app.config.from_object("project.config.Config")
#routes
app.register_bl... | vipin733/flask_boilerplate | services/web/project/__init__.py | __init__.py | py | 427 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "routes.home_blueprint",
"line_number": 18,
"usage_type": "argument"
}
] |
37842291992 | # ----------------------------------------------------------------------------------------------------------------------
# Implementation of k-Means Machine learning algorithm, tested using synthetic data created in script
#
# Sean Taylor Thomas
# 9/2021
# stth223@uky.edu
# ---------------------------------------------... | STaylorT/Machine-Learning | K-Means.py | K-Means.py | py | 5,400 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "random.seed",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sys.maxsize",
"line_num... |
36387303386 | import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from sklearn.datasets import fetch_openml
import torch
import torch.nn as nn
import torch.optim as optim
from torch.utils.data import DataLoader, TensorDataset
from sklearn.model_selection import train_test_split
from matplotlib.colors import Linear... | quentinRolld/Adversarial_attack | generalization/train_gen.py | train_gen.py | py | 9,674 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "torch.tensor",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "torch.float32",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "torch.tensor",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "torch.long",
"line_n... |
30419861071 | """
An AI agent that will explore its environment and perform certain tasks (mining, smelting, forging, and buying/selling items)
"""
import sys
from time import sleep
import traceback
import cv2
import pyautogui
from game_map import GameMap
import utilities as utils
from user_interface import UserInterface
fro... | jeffaustin32/game_ai | main.py | main.py | py | 1,821 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "player.Player.TASKS",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "player.Player",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "sys.argv",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "player.Player.TA... |
44408183986 | #!/usr/bin/env python
# coding: utf-8
# ## This Jupyter notebook will show you to perform basic calculations and plots with 2 dimensional data (matrices, )
#
# ## We will compare two images:
# ### * MODIS-AQUA - 31st August 2005
# ### * MODIS-AQUA - 16th Feburary 2017
#
# Now, we will need to import several packages... | afonsomferreira/ppm_jupyter | 2D_oceancolour_plots.py | 2D_oceancolour_plots.py | py | 7,930 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "netCDF4.Dataset",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_numbe... |
18478316296 | from block import Block
from transaction import Transaction
class ConverterToObj():
@staticmethod
def chain_to_obj(blockchain):
"""
Receives a blockchain of dictionaries and converts the blocks
into block objects and the transactions into Transactions objects
Returns an updated blockchain ... | salvescoding/bockchain_cryptocurrency | app/helpers/converter_to_obj.py | converter_to_obj.py | py | 1,249 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "transaction.Transaction",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "block.Block",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "transaction.Transaction",
"line_number": 31,
"usage_type": "call"
}
] |
8287227022 | # encoding: utf-8
from django.test import TestCase
from django.db import IntegrityError
from subscription.models import Subscription
class SubscriptionModelTest(TestCase):
def test_create_new_subscription(self):
s = Subscription.objects.create(
name='Henrique Bastos',
cpf='05633165... | rosenclever/Eventex | subscription/tests/test_models.py | test_models.py | py | 1,055 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "django.test.TestCase",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "subscription.models.Subscription.objects.create",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "subscription.models.Subscription.objects",
"line_number": 9,
"usage_ty... |
30086424921 | import logging
import paddle.fluid as fluid
import paddle.fluid.dygraph.nn as nn
from utils import build_norm_layer, build_conv_layer, Sequential
class BasicBlock(fluid.dygraph.Layer):
expansion = 1
def __init__(self,
inplanes,
planes,
stride=1,
... | VIS-VAR/LGSC-for-FAS | models/resnet.py | resnet.py | py | 10,152 | python | en | code | 223 | github-code | 6 | [
{
"api_name": "paddle.fluid.dygraph",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "paddle.fluid",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "utils.build_norm_layer",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "utils.bui... |
34268869156 | import pandas as pd
import numpy as np
import numpy as np
import pandas as pd
from keras.models import load_model
from sklearn.preprocessing import MinMaxScaler
from numpy import concatenate
from flask import Flask, request, jsonify
import json
app = Flask(__name__)
@app.route('/', methods=['GET'])
def getMill():
... | Francis-Walker/AI_api | api_deploy/model_api.py | model_api.py | py | 9,209 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.read_pickle",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.MinMaxScaler",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pan... |
14761591721 | import os
from twisted.internet import reactor, defer
def read_mail(mailitems):
print(mailitems)
return "Junk Mail... Sending to shredder: " + mailitems
def shred_mail(mailitems):
print('buzzzzz: ' + mailitems)
os.remove('mail')
reactor.stop()
def create_mail(msg):
with open("mail","w") as f:... | mina32/APT_Black | mailExample/mailPolling.py | mailPolling.py | py | 826 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.remove",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "twisted.internet.reactor.stop",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "twisted.internet.reactor",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "twis... |
33386199461 | """
File input and output functions
"""
import ujson as json
from dev_funcs import printline, Recorded_Time
from comms import Appointment
#class to store data imported from local json config file
class FileIO:
def __init__(self):
#build all of the variables from data.json file
self.load_local_vars()
#print the ... | TotalJTM/DoccoLink-Device-Firmware-V1 | file_funcs.py | file_funcs.py | py | 11,601 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "ujson.loads",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "dev_funcs.Recorded_Time",
"line_number": 45,
"usage_type": "argument"
},
{
"api_name": "ujson.loads",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "ujson.dumps",
... |
15018763785 | from tkinter import Widget
import customtkinter as ctk
from customtkinter import ThemeManager
from View.GUI.Windows.GraphWindow.ButtonBar import ButtonBar
from View.GUI.Windows.GraphWindow.GraphCanvas import GraphCanvas
from View.GUI.Windows.WindowInterface import WindowInterface, Position
class GraphWindow(WindowI... | Moni5656/npba | View/GUI/Windows/GraphWindow/GraphWindow.py | GraphWindow.py | py | 2,319 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "View.GUI.Windows.WindowInterface.WindowInterface",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "customtkinter.CTkFrame",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "View.GUI.Windows.WindowInterface.Position.Center",
"line_number"... |
9352031238 | """Cleaning Functions
These functions define standard text processing functions for cleaning.
"""
from html import unescape
import re
import emoji
def clean_text(text):
"""Cleans single data entry of text.
Args:
text (str): input text for cleaning.
Returns:
str: output cleaned text.
... | HannahKirk/ActiveTransformers-for-AbusiveLanguage | scripts/0_data_prep/cleaning_functions.py | cleaning_functions.py | py | 4,543 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "html.unescape",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "emoji.UNICODE_EMOJI",
"line_number": ... |
18552105619 | # # Napisać program który wyświetla wykres funkcji kwadratowej o podanych współczynnikach.
# # Tworząc wykres należy tak dobrać zakres wyświetlanej osi X aby znalazły się w nim:
# # współrzędna wierzchołka oraz miejsca zerowe z marginesem ok 10%
# # (dla przykładu: jeżeli miejsca zerowe wynoszą np x1=2 i x2=10 to oś... | TomaszWs/Python-training | UG-training/wykres-funkcji.py | wykres-funkcji.py | py | 3,391 | python | pl | code | 0 | github-code | 6 | [
{
"api_name": "math.sqrt",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 36,... |
33680361650 | from django.urls import path, include
from rest_framework import routers
from .views import (
IndexView,
DetailView,
ResultsView,
vote,
QuestionViewSet,
ChoiceViewSet,
)
router = routers.DefaultRouter()
router.register(r"questions", QuestionViewSet)
router.register(r"choices", ChoiceViewSet)
... | orvisevans/django-vue-site | backend/polls/urls.py | urls.py | py | 630 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rest_framework.routers.DefaultRouter",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "rest_framework.routers",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "views.QuestionViewSet",
"line_number": 13,
"usage_type": "argument"
},
{
... |
787431703 | """
Tests for `nameko_cachetools` module.
"""
import time
import pytest
from mock import Mock, patch
import random
import eventlet
from nameko.rpc import rpc
from nameko.standalone.rpc import ServiceRpcProxy
from nameko_cachetools import CachedRpcProxy, CacheFirstRpcProxy
from nameko.testing.services import (entrypoin... | santiycr/nameko-cachetools | test/test_nameko_cachetools.py | test_nameko_cachetools.py | py | 4,402 | python | en | code | 9 | github-code | 6 | [
{
"api_name": "nameko_cachetools.CachedRpcProxy",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "nameko_cachetools.CacheFirstRpcProxy",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "nameko.rpc.rpc",
"line_number": 25,
"usage_type": "name"
},
{
... |
8267999016 | from __future__ import annotations
from unittest import mock
from kombu.utils.objects import cached_property
class test_cached_property:
def test_deleting(self):
class X:
xx = False
@cached_property
def foo(self):
return 42
@foo.deleter... | celery/kombu | t/unit/utils/test_objects.py | test_objects.py | py | 2,091 | python | en | code | 2,643 | github-code | 6 | [
{
"api_name": "kombu.utils.objects.cached_property",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "kombu.utils.objects.cached_property",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "kombu.utils.objects.cached_property",
"line_number": 60,
"usage_t... |
10649216487 | """
ProjectManager
Description:
"""
import pygame,sys
pygame.init()
# Defining Image Width
get_width = int(input("Image Width: (px)"))
get_height = int(input("Image Height: (px)"))
get_name = str(input("Project Name: "))
win_size = (get_width,get_height)
# Creating Project Script
file = get_name + '.txt'
with open(f... | LandenTy/GeometricEngine | CustomTexturer/main.py | main.py | py | 3,267 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pygame.init",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "pygame.draw.ci... |
1584185600 | import cv2
def draw_boxes(im, boxes, class_names=None, scores=None, colors=None):
scores = [None] * len(boxes) if scores is None else scores
colors = [None] * len(boxes) if colors is None else colors
class_names = [None] * len(boxes) if class_names is None else class_names
for params in zip(boxes, cl... | Guillem96/ssd-pytorch | ssd/viz.py | viz.py | py | 991 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.rectangle",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "cv2.rectangle",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "cv2.putText",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "cv2.FONT_HERSHEY_SIMPLEX",
... |
5558606800 | import os
from dotenv import load_dotenv
from configparser import ConfigParser
conf = ConfigParser()
conf.read('model.conf')
load_dotenv('.env')
def _getenv(key, default): return type(default)(os.getenv(key)) if os.getenv(key) else default
SERVER_IP = _getenv('SERVER_IP', '0.0.0.0') # Service IP
SERVER_PORT = _get... | rahmanmahbub073/PythonBased_FastAPI_mL_dL_Repo | UnwantedImageDetection_server/config.py | config.py | py | 1,241 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "dotenv.load_dotenv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 10,
"usage_type": "call"
}
] |
36132885755 | from random import choice
from time import sleep
from colorama import init, Fore
init()
deck_preset = ("A", *range(2, 11), "J", "Q", "K")
deck = [item for item in deck_preset for i in range(4)]
del deck_preset
class Card:
special_names = ["A", "J", "Q", "K"]
def __init__(self, name):
... | Rikaisan/100-days-of-code | python-files/11_blackjack.py | 11_blackjack.py | py | 5,613 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "colorama.init",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "colorama.Fore.CYAN",
"line_number": 54,
"usage_type": "attribute"
},
{
"api_name": "colorama.Fore",
"line_number": 54,
"usage_type": "name"
},
{
"api_name": "colorama.Fore.WHIT... |
23338785771 | import tensorflow as tf
import pandas as pd
from sklearn.metrics import multilabel_confusion_matrix, confusion_matrix, precision_score, recall_score, f1_score
def calculate_output(model, actual_classes, session, feed_dict):
actuals = tf.argmax(actual_classes, 1)
predictions = tf.argmax(model, 1)
actuals = ... | Sam-Mah/PLDNN | tensorflow_confusion_metrics.py | tensorflow_confusion_metrics.py | py | 2,817 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "tensorflow.argmax",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "tensorflow.argmax",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.multilabel_confusion_matrix",
"line_number": 19,
"usage_type": "call"
},
{
"api... |
38514794793 | import gc
import os
from pathlib import Path
from typing import Any, Dict, cast
import mlflow
import numpy as np
import onnx
import torch
import transformers
from pytorch_lightning import Trainer, seed_everything
from pytorch_lightning.callbacks import ModelCheckpoint
from transformers.modeling_utils import PreTrained... | crypto-sentiment/crypto_sentiment_demo_app | crypto_sentiment_demo_app/models/train/bert/model.py | model.py | py | 4,376 | python | en | code | 25 | github-code | 6 | [
{
"api_name": "transformers.logging.set_verbosity_error",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "transformers.logging",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 23,
"usage_type": "attribute"
},
{
... |
26185607454 | """Rotate Image
You are given an n x n 2D matrix representing an image, rotate the image by 90 degrees (clockwise).
You have to rotate the image in-place, which means you have to modify the input 2D matrix directly. DO NOT allocate another 2D matrix and do the rotation.
Input: matrix = [[1,2,3],[4,5,6],[7,8,9]]
Outp... | 01o91939/leetcode | rotateImage.py | rotateImage.py | py | 1,441 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "unittest.TestCase",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "unittest.main",
"line_number": 42,
"usage_type": "call"
}
] |
5809207089 | # ---
# jupyter:
# jupytext:
# formats: ipynb,py
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.9.1+dev
# kernelspec:
# display_name: Python [conda env:biovectors]
# language: python
# name: conda-env-biovectors-... | greenelab/biovectors | multi_model_experiment/04_novel_distance_calculations.py | 04_novel_distance_calculations.py | py | 14,275 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "plotnine.ggplot",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "plydata.query",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "plotnine.aes",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "plotnine.geom_boxplot",
... |
46058474656 | # -*- coding: utf-8 -*-
from django.db import models
from django.utils.translation import gettext_lazy as _
from django.utils import timezone
from django.db import IntegrityError, transaction
from .managers import TopicNotificationQuerySet
from spirit.core.conf import settings
class TopicNotification(models.Model):... | nitely/Spirit | spirit/topic/notification/models.py | models.py | py | 4,758 | python | en | code | 1,153 | github-code | 6 | [
{
"api_name": "django.db.models.Model",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "django.utils.translation.gettext_lazy",
"line_number": 15,
"usage_type": "call"
},
{
... |
32645650527 | #! /usr/bin/env python
# -*- coding: utf-8 -*-
"""
Module that contains functions related with Maya tag functionality for ueGear.
"""
from __future__ import print_function, division, absolute_import
import maya.cmds as cmds
import maya.api.OpenMaya as OpenMaya
from mgear.uegear import utils, log
logger = log.uegea... | mgear-dev/mgear4 | release/scripts/mgear/uegear/tag.py | tag.py | py | 9,387 | python | en | code | 209 | github-code | 6 | [
{
"api_name": "mgear.uegear.log.uegear_logger",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "mgear.uegear.log",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "mgear.uegear.utils.force_list",
"line_number": 55,
"usage_type": "call"
},
{
... |
27519489621 | from django.shortcuts import (render, get_object_or_404,
get_list_or_404, redirect, HttpResponse)
from .models import Total
from .serializer import TotalSerializer, Serializer # , UserSerializer
from rest_framework.views import APIView
from rest_framework.response import Response
from res... | Afeez1131/CovidNg-2021 | total/views.py | views.py | py | 8,441 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.shortcuts.render",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "django.core.mail.send_mail",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "django.contrib.messages.success",
"line_number": 36,
"usage_type": "call"
},
{
... |
31463758726 | import logging
import pathlib
import sqlite3
logger = logging.getLogger(__name__)
def is_database_exists(db_path):
return pathlib.Path(db_path).exists()
def open_connection(db_path):
if is_database_exists(db_path):
logger.debug(f"Connecting to {db_path}")
try:
return sqlite3.con... | nemeshnorbert/reveal | src/db/utils.py | utils.py | py | 1,509 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"l... |
28448639940 | # __author__ = 'heyin'
# __date__ = '2019/2/14 16:03'
# google翻译rpc服务端代码
import sys
sys.path.append('../')
import json
import grpc
import time
from concurrent import futures
from rpc_server.fanyi import fanyi_pb2, fanyi_pb2_grpc
from rpc_conf import HOST, PORT, ONE_DAY_IN_SECONDS
from core import google
js = google.... | hy89/google-translate | rpc_server/server.py | server.py | py | 1,172 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "core.google.Py4Js",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "core.google",
"line... |
42600676142 | import multiprocessing
import operator
from functools import partial
import numpy as np
from core import mathlib
from core.interact import interact as io
from core.leras import nn
from facelib import FaceType, XSegNet
from models import ModelBase
from samplelib import *
class XSegModel(ModelBase):
def __init__... | ccvvx1/Python_Df | models/Model_XSeg/Model.py | Model.py | py | 15,453 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "models.ModelBase",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "core.interact.interact.input_bool",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "core.interact.interact",
"line_number": 28,
"usage_type": "name"
},
{
"api_nam... |
19053013321 | from functools import wraps
import re
from collections import defaultdict
from datetime import datetime, timedelta, timezone
import humanize
import simplejson as json
from dateutil.tz import tzutc
from flask import Blueprint, g, redirect, request, url_for, current_app, jsonify
from flask_login import current_user, log... | ONSdigital/census-survey-runner | app/views/questionnaire.py | questionnaire.py | py | 32,299 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "structlog.get_logger",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "flask.Blueprint",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "flask.Blueprint",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "app.globals.get_... |
8337543538 | #! /usr/bin/env python
import sys
import csv
import screed
import random
import argparse
import sourmash
import sequtils # local import
def main():
parser = argparse.ArgumentParser()
parser.add_argument('genome')
parser.add_argument('-e', '--error-rate', type=float, default=.01)
pars... | ctb/2022-sourmash-sens-spec | scripts/make-detection-curve.py | make-detection-curve.py | py | 3,926 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "random.seed",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "screed.open",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "sourmash.MinHash",
... |
22558981666 | import math
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation
#Dane początkowe
k1 = 1
m = 1
h = 0.05
x0 = 10
vx0 = 0
w1 = math.sqrt(k1/m)
A1 = math.sqrt((vx0*vx0)/(w1*w1) + (x0*x0))
iloscPunktow = 1000
#oś XY
setXl = 0
setXr = 55
setYl = 49.95
s... | OskarLewandowski/My_Learning | Python/Oscylator-energia.py | Oscylator-energia.py | py | 4,595 | python | pl | code | 0 | github-code | 6 | [
{
"api_name": "math.sqrt",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "math.acos",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "math.pi",
"line_number": 26,
"u... |
15156725753 | import os
import math
import numpy as np
from tqdm import tqdm
import pickle
import torch
import torch.nn as nn
from torch.autograd import Variable
from torch.nn import functional as F
from models import l2norm
## Memory
class Memory(nn.Module):
def __init__(self, mem_size=500000, feat_dim=256, margin=1, topk... | toanhvu/learning-to-remember-beauty-products | memory.py | memory.py | py | 2,793 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "torch.nn.Parameter",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line... |
25359325465 | # -*- coding: utf-8 -*-
from __future__ import division
import scrapy
from scrapy import Request
# from street_food.items import StreetFoodItem, StreetFoodDatTimeItem
from street_food.items import StreetFoodDatTimeItem
from street_food.spiders import tools
import json
from urllib import urlopen
# import random
from str... | kirimaks/street-food-scraper | street_food/street_food/spiders/offthegrid.py | offthegrid.py | py | 3,638 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "scrapy.Spider",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "json.loads",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "scrapy.Request",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "urllib.urlopen",
"li... |
33851174074 | '''
boss class
'''
import pygame
class Boss(pygame.sprite.Sprite):
def __init__(self,laser):
pygame.sprite.Sprite.__init__(self)
self.image = pygame.image.load("images/Boss.gif").convert()
self.rect = self.image.get_rect()
self.rect.x = 500
self.rect.y = 0... | Inviernos/Alien-Lord | boss.py | boss.py | py | 1,580 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pygame.sprite",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "pygame.sprite.Sprite.__init__",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pygame.sprite",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "py... |
32203126633 | import datetime
import random
import yaml
from requests import get
def compute_median(lst):
"""
Вычисление медианты списка
:param lst: входящий список значений
:return: медиана
"""
quotient, remainder = divmod(len(lst), 2)
return lst[quotient] if remainder else sum(sorted(lst)[quotient - ... | zombym/devops-tasks | 5.5.1.py | 5.5.1.py | py | 5,538 | python | ru | code | 0 | github-code | 6 | [
{
"api_name": "random.randint",
"line_number": 98,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 99,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 107,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_n... |
23184643387 | #!/usr/bin/env python3
#encoding: UTF-8
# To change this license header, choose License Headers in Project Properties.
# To change this template file, choose Tools | Templates
# and open the template in the editor.
import numpy as np
import matplotlib.pyplot as plt
import math
import TrashCan.Mathieson as mat
import ... | grasseau/MCHClustering | src/PyTests/spline_t.py | spline_t.py | py | 7,607 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.zeros",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "math.erf",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "numpy.sqrt",
"line_number": 26... |
27529865063 | import numpy as np
import matplotlib.pyplot as plt
from scipy import signal
def load_data(filename):
# 读入数据文件
data = np.loadtxt(filename)
return data
def plot_signal_waveform(data, fs):
# 绘制信号波形
duration = len(data) / fs # 持续时间，单位为秒
time = np.linspace(0, duration, len(data))
plt.subplot(... | huigang39/TENG | Software/dl/signal_analysis.py | signal_analysis.py | py | 1,602 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "numpy.loadtxt",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplot",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "matplotlib.pypl... |
43968820856 | #!/usr/bin/env python
from Bio import SeqIO
import argparse
import json
import os
from CPT_GFFParser import gffParse, gffWrite
def parse_xmfa(xmfa):
"""Simple XMFA parser until https://github.com/biopython/biopython/pull/544
"""
current_lcb = []
current_seq = {}
for line in xmfa.readlines():
... | TAMU-CPT/galaxy-tools | tools/comparative/xmfa_process.py | xmfa_process.py | py | 3,928 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "Bio.SeqIO.parse",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "Bio.SeqIO",
"line_number": 72,
"usage_type": "name"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 78,
"usage_type": "call"
},
{
"api_name": "argparse.FileType",... |
11323411187 | import random
import sys
from pyfiglet import Figlet
import requests
import json
import os
from dotenv import load_dotenv
# Setting up TMDB API Key
load_dotenv()
API_KEY = os.getenv('TMDB_API_KEY')
# Retrieve top rated movies in TheMovieDB
pages = {'results': []}
for i in range(5):
page = requests.get(f'https:/... | MaCeleste/Movie-Hangman | project.py | project.py | py | 4,490 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pyfiglet.Figlet",
"line... |
5361671905 |
import bottle
import json
import random
from . import DatabaseManager
from .product import Product
import recommender.vector.arithmetic
import recommender.rocchio.algorithm
@bottle.route('/product/get/<doc_id:int>')
def product_get(doc_id):
d = product_manager.get_product(doc_id).as_dictionary()
result = {'... | dustywind/bachelor-thesis | impl/recommender/webapi.py | webapi.py | py | 8,641 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "bottle.route",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "bottle.route",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "bottle.route",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "bottle.route",
"line_numbe... |
39858982363 | import os
import sys
if not "DEVITO_OPENMP" in os.environ or os.environ["DEVITO_OPENMP"] != "1":
print("*** WARNING: Devito OpenMP environment variable has not been set ***", file=sys.stderr)
import numpy as np
from sympy import Matrix, Eq, solve
import progressbar
from devito import TimeData, Operator, t, x, y,... | gamdow/ACG-feasibility | wrapper_pkg/devito.py | devito.py | py | 7,301 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.environ",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "sys.stderr",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "devito.logger.set_log_level",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "devito.logg... |
27318807553 | # @PascalPuchtler
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# dis... | iisys-hof/autonomous-driving | car-controller/src/mainController/Controller/MoveController/MoveControllerCommunication.py | MoveControllerCommunication.py | py | 3,571 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.platform",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "serial.Serial",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "serial.PARITY_NONE",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "serial.EIGHTBITS",... |
72532362749 | import logging
from asyncio import CancelledError, Task, create_task
from collections.abc import AsyncGenerator
from contextlib import asynccontextmanager, suppress
from fastapi import FastAPI
from servicelib.logging_utils import log_context
from watchdog.observers.api import DEFAULT_OBSERVER_TIMEOUT
from ._context i... | ITISFoundation/osparc-simcore | services/dynamic-sidecar/src/simcore_service_dynamic_sidecar/modules/outputs/_watcher.py | _watcher.py | py | 4,081 | python | en | code | 35 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "_manager.OutputsManager",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "_context.OutputsContext",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "asy... |
8022762471 | #!/usr/bin/env python
# encoding: utf-8
# @Time : 2019-07-31 10:24
__author__ = 'Ted'
from PIL import Image, ImageFont, ImageDraw
content={
"back_img":"pre/paper.jpg",
"001":{
"ad":'老板，买10盒月饼呗',
"head":'001.jpg'
},
"002": {
"ad": '老板，买20盒月饼呗',
"head": '002.jpg'
},
... | pengfexue2/friends_ad | create_pics.py | create_pics.py | py | 2,590 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "PIL.Image.open",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 49,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number"... |
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