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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
45635636253 | import sys
import torch
from puresound.nnet.skim import MemLSTM, SegLSTM
from puresound.streaming.skim_inference import StreamingSkiM
sys.path.insert(0, "./")
def test_mem_lstm():
memlstm = MemLSTM(10, causal=True, dropout=0)
memlstm.eval()
h = torch.rand(1, 10, 1, 10).float().detach()
c = torch.ran... | mcw519/PureSound | test/test_streaming.py | test_streaming.py | py | 3,727 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "sys.path.insert",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "puresound.nnet.skim.MemLSTM",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.rand",
... |
39254369826 | from rest_framework import serializers
from proco.connection_statistics.models import (
CountryDailyStatus,
CountryWeeklyStatus,
SchoolDailyStatus,
SchoolWeeklyStatus,
)
class CountryWeeklyStatusSerializer(serializers.ModelSerializer):
class Meta:
model = CountryWeeklyStatus
field... | unicef/Project-Connect-BE | proco/connection_statistics/serializers.py | serializers.py | py | 2,912 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "proco.connection_statistics.models.CountryWeeklyStatus",
"line_num... |
37290352407 | from datetime import datetime
import smtplib
from program import config
import os
def log_to_file(log: str):
with open('logs.txt', 'a') as logs_file:
logs_file.write(str(datetime.now()) + " | " + log + "\n")
logs_file.close()
def get_logs_from_file():
with open('logs.txt', 'r') as logs_file... | Poul3R/swiatksiazki_scraper | program/utils.py | utils.py | py | 1,494 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime.now",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "os.environ",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
... |
29009838459 | #!/usr/bin/env python
import pg8000
types = ('STK', 'CASH', 'CMDTY', 'FUT', 'OPT', 'IND', 'FOP', 'WAR', 'BOND',
'FUND')
def main():
conn = pg8000.connect(
host='127.0.0.1',
database='opentrade',
user='postgres',
password='test')
cursor = conn.cursor()
exchanges = {}
cursor.... | treverson/opentrade-1 | scripts/update_rate.py | update_rate.py | py | 676 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "pg8000.connect",
"line_number": 10,
"usage_type": "call"
}
] |
38634158163 | from sqlite3 import Connection
from flask import Flask
from flask_blog import db
class TestDB:
def test_get_db(self, app: Flask) -> None:
assert isinstance(db.get_db(), Connection)
assert db.get_db() is db.get_db()
def test_close_db(self, app: Flask) -> None:
original_connection = d... | ftambara/flaskr | tests/test_db.py | test_db.py | py | 707 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "sqlite3.Connection",
"line_number": 10,
"usage_type": "argument"
},
{
"api_name": "flask_blog.db.get_db",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask_blog.db"... |
72479830588 | import os
import dj_database_url
from pathlib import Path
BASE_DIR = Path(__file__).resolve().parent.parent
IS_HEROKU = "DYNO" in os.environ
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/1.8/howto/deployment/checklist/
# SECURITY WARNING: keep the secret key... | benedwards44/sfdatacompare | sfdatacompare/settings.py | settings.py | py | 3,480 | python | en | code | 16 | github-code | 6 | [
{
"api_name": "pathlib.Path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_numb... |
39920491954 | import sys
import click
from js9 import j
from zerorobot.cli import utils
def print_task(task, tb=False):
state = task.state
print("{created} - {guid} - {action} - {state}".format(
created=j.data.time.epoch2HRDateTime(task.created),
guid=task.guid,
action=task.action_name,
st... | BolaNasr/0-robot | zerorobot/cli/task.py | task.py | py | 2,837 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "js9.j.data.time.epoch2HRDateTime",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "js9.j.data",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "js9.j",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "click.group",
... |
6819439348 | from ..models import BlogPost, HomePage
from django import template
from django.conf import settings
from django.utils.text import slugify
from django.template.defaultfilters import stringfilter
from wagtail.wagtailcore.models import Page
from wagtail.wagtailcore.templatetags.wagtailcore_tags import pageurl
from wa... | kingsdigitallab/wagtailbase | templatetags/wagtailbase_tags.py | wagtailbase_tags.py | py | 7,637 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "django.template.Library",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "django.conf... |
19129110732 | from flask import Flask, request,send_file, render_template, jsonify
import pandas as pd
import json as js
from io import StringIO
from werkzeug.utils import secure_filename
import os
import requests
from flask_cors import CORS
app = Flask(__name__)
cors = CORS(app,resources={r'*':{'origins':'http://localhost:3000'}})... | rajatgedam/microservices-ml-project | flask-server/input.py | input.py | py | 2,325 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
33017424665 | """Support for Dyson Pure Hot+Cool link fan."""
import logging
from libpurecool.const import FocusMode, HeatMode, HeatState, HeatTarget
from libpurecool.dyson_pure_hotcool_link import DysonPureHotCoolLink
from libpurecool.dyson_pure_state import DysonPureHotCoolState
from homeassistant.components.climate import Clima... | 84KaliPleXon3/home-assistant-core | homeassistant/components/dyson/climate.py | climate.py | py | 6,070 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "homeassistant.components.climate.const.FAN_FOCUS",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "homeassistant.components.climate.const.FAN_DIFFUSE",
"line_number": 26,
... |
42048343714 | import errno
import socket
import threading
import hashlib
import base64
import logging
from .DataFrameFormat import *
from .ServerException import *
class WebSocketServer:
_SEC_KEY = "258EAFA5-E914-47DA-95CA-C5AB0DC85B11"
_HANDKSHAKE_RESP = (
"HTTP/1.1 101 Switching Protocols\r\n"
"Upgrade: ... | Kai-Bailey/WebSock | websock/WebSocketServer.py | WebSocketServer.py | py | 14,648 | python | en | code | 21 | github-code | 6 | [
{
"api_name": "socket.socket",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_STREAM",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "logging.bas... |
34386201505 | import pymysql
import csv
# 连接到MySQL数据库
conn = pymysql.connect(
host='123.60.191.124', # MySQL服务器地址
user='root', # 用户名
password='Hzk2022@', # 密码
database='bridge' # 数据库名称
)
# 创建游标对象
cursor = conn.cursor()
try:
# 获取所有以"table"开头的表名
cursor.execute("SHOW TABLES LIKE 'table%'")
tables = cu... | youkipepper/Py | bridge_data/download.py | download.py | py | 926 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pymysql.connect",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 30,
"usage_type": "call"
}
] |
11409257271 | import os
device_id = '0'
os.environ["CUDA_VISIBLE_DEVICES"] = device_id
from fastapi import FastAPI, Request
import uvicorn, json, datetime
import torch
from loguru import logger
logger.add('log/runtime_{time}.log')
from deep_training.data_helper import ModelArguments, TrainingArguments, DataArguments
from deep_tr... | kavin525zhang/AIGC | pretrained_model/ChatGLM/loan_collection/api_lora.py | api_lora.py | py | 5,103 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.environ",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "loguru.logger.add",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "loguru.logger",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "utils.prompter.Prompte... |
35395903833 | import sys
from typing import Optional
try:
# pylint: disable=unused-import
if sys.platform == 'win32': # pragma: no cover
from .gss_win32 import GSSBase, GSSClient, GSSServer, GSSError
else:
from .gss_unix import GSSBase, GSSClient, GSSServer, GSSError
gss_available = True
except Im... | ronf/asyncssh | asyncssh/gss.py | gss.py | py | 1,259 | python | en | code | 1,408 | github-code | 6 | [
{
"api_name": "sys.platform",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "typing.Optional",
"line_number": 21,
"usage_type": "name"
}
] |
74024066427 | from flask import Flask, request,flash, redirect
from flask import render_template
from flask_sqlalchemy import SQLAlchemy
from flask import url_for
from werkzeug.utils import secure_filename,send_file,send_from_directory
#"""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""
#"""""""""""""""""""""""""""... | Jean-joel/regression | app.py | app.py | py | 7,248 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pickle.load",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 3... |
650413927 | #! /usr/bin/python
import os
import sys
import json
import luigi
import numpy as np
import nifty.tools as nt
import cluster_tools.utils.volume_utils as vu
import cluster_tools.utils.function_utils as fu
from cluster_tools.cluster_tasks import SlurmTask, LocalTask, LSFTask
class BackgroundSizeFilterBase(luigi.Task)... | constantinpape/cluster_tools | cluster_tools/postprocess/background_size_filter.py | background_size_filter.py | py | 6,129 | python | en | code | 32 | github-code | 6 | [
{
"api_name": "luigi.Task",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "luigi.Parameter",
"l... |
2533553742 | """
Simple "Hello, world!" example that sends a `getNodeInfo` command to
your friendly neighborhood node.
"""
from argparse import ArgumentParser
from pprint import pprint
from sys import argv
from typing import Text
from httpx.exceptions import NetworkError
from iota import BadApiResponse, StrictIota, __version__
... | iotaledger/iota.py | examples/hello_world.py | hello_world.py | py | 1,239 | python | en | code | 344 | github-code | 6 | [
{
"api_name": "iota.StrictIota",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "httpx.exceptions.NetworkError",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "iota.BadApiResponse",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "ppr... |
23641757895 | import numpy as np
import os
import math
import open3d as o3d
def eulerAnglesToRotMatrixSelfRotate(theta) :
R_x = np.array([[1, 0, 0 ],
[0, math.cos(theta[0]), -math.sin(theta[0]) ],
[0, math.sin(theta[0]), ma... | JC0103/FYP-Point_Cloud_Registration | Utility/Transformationin2Cam.py | Transformationin2Cam.py | py | 6,481 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.array",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "math.cos",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "math.sin",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "math.sin",
"line_number": 12,
"... |
7603547377 | from criptografia import criptografar
import PySimpleGUI as sg
# Deve ter 16, 24 ou 32 bytes de comprimento
class GeradorDeSenha:
def __init__(self):
sg.theme('reddit')
interface = [
[sg.Text('Tipo de criptografia', auto_size_text=True),
sg.Checkbox('AES-128', key='128', ... | GustavoAdM/CryptografiaPython | layout.py | layout.py | py | 1,773 | python | pt | code | 0 | github-code | 6 | [
{
"api_name": "PySimpleGUI.theme",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "PySimpleGUI.Text",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "PySimpleGUI.Checkbox",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "PySimpleGUI.In... |
2244771552 | import getopt
import os
import sys
from pathlib import Path
import wx
# -------------------项目撰写核心模块(库)----------------------------------------------------------------------------------
# Dauto平台组件模块
from dautolibrary.dautocomponents.parentframe import ParentFrame
# -----------------------------------------------------... | guotaosun/waffirm | Dauto.pyw | Dauto.pyw | pyw | 3,411 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pathlib.Path",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line... |
40667975592 | from __future__ import division
import argparse
import logging
import multiprocessing as mp
import os
import sys
from distutils.util import strtobool
import numpy as np
from scipy.io import wavfile
from scipy.signal import firwin
from scipy.signal import lfilter
from sprocket.speech.feature_extractor import Feature... | bigpon/QPNet | src/bin/noise_shaping.py | noise_shaping.py | py | 6,659 | python | en | code | 13 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "distutils.util.strtobool",
"line_number": 55,
"usage_type": "name"
},
{
"api_name": "scipy.signal.firwin",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "... |
20525895920 | import numpy as np
from math import *
import matplotlib.pyplot as plt
def func(x):
return np.sin(x / 5) * np.exp(x / 10) + 5 * np.exp(-x / 2)
def print_func(y):
x = np.linspace(0,16,100)
fig = plt.figure()
y = y(x)
y2 = func(x)
plt.plot(x, y, 'r')
plt.plot(x, y2, 'g')
plt.show()
k_array = np.array([[... | vovuas2003/NaumkinC01-119_2021_infa | NumPy/Number3.py | Number3.py | py | 1,010 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.sin",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_... |
10322596686 | import christmas_lights.events as lev
import argparse
import signal
import sys
import pygame
import pandas as pd
def signal_handler(signal, frame):
colorWipe(strip, Color(0,0,0))
sys.exit(0)
def opt_parse():
parser = argparse.ArgumentParser()
parser.add_argument('-c', action='store_t... | mitchallain/christmas-lights | scripts/light_it_up_midi.py | light_it_up_midi.py | py | 970 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.exit",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "signal.signal",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "signal.SIGINT",
"l... |
19646346507 | import cv2 as cv
import numpy as np
import matplotlib.pyplot as plt
img = cv.imread('Lab Image feature extraction/sign4.jpg')
img = cv.resize(img,None,fx=0.3,fy=0.3)
blurimage = cv.medianBlur(img, 5)
HSV = cv.cvtColor(blurimage, cv.COLOR_BGR2HSV)
lower_color = np.array([[20,100,100],[30,50,50]])
upper_color = n... | KanapongAiamtip/DIP | Lab Image feature extraction/lfe1.py | lfe1.py | py | 766 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.imread",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.resize",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.medianBlur",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 1... |
17509348708 | # -*- coding: utf-8 -*-
import scrapy
import re
class ImdbSpider(scrapy.Spider):
name = 'imdb'
allowed_domains = ['imdb.com']
def __init__(self, search = None, *args, **kwargs):
self.start_urls = [search ]
super().__init__(**kwargs)
def parse(self, response):
self... | Hallicopter/imdbscraper | imdb.py | imdb.py | py | 2,003 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "scrapy.Spider",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "re.findall",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "scrapy.Request",
"line_nu... |
13321416824 | from airflow.models import Variable
from airflow.hooks.postgres_hook import PostgresHook
import requests
def set_wistia_urls(ds, *args, **kwargs):
if "client" not in kwargs or kwargs["client"] is None:
raise Exception("You must configure a client for this operator")
pg_connection = kwargs["client"] +... | CrossingsCommunityChurch/apollos-shovel | dags/misc/wista.py | wista.py | py | 1,550 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "airflow.hooks.postgres_hook.PostgresHook",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "airflow.models.Variable.get",
"line_number": 27,
"usage_type": "call"
},
{
... |
19064400048 | from api.strings import id_key
from .strings import *
from api.ver1.offices.strings import office_key
from api.ver1.parties.strings import party_key
import datetime
votes = [
{
id_key: 1,
createdOn_key: datetime.datetime.now().date().__str__(),
createdBy_key: 2,
office_ke... | pcf26536/politico-api | api/ver1/ballot/models.py | models.py | py | 1,298 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "api.strings.id_key",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "api.ver1.offices.strings.office_key",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 10,
"usage_type": "call"
},
{
"api_n... |
37056034694 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""Random Effects SEM."""
import pandas as pd
import numpy as np
from .model_means import ModelMeans
from .utils import chol_inv, chol_inv2, cov, calc_zkz, delete_mx
from .univariate_blup import blup
from scipy.linalg import solve_sylvester
from collections import defaultd... | planplus/pysem | pysem/model_effects.py | model_effects.py | py | 39,165 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "model_means.ModelMeans",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "model_means.ModelMeans.matrices_names",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "model_means.ModelMeans",
"line_number": 23,
"usage_type": "name"
},
... |
71256789948 | from flask import Flask,send_file,request
from elasticsearch import Elasticsearch
import csv
import time
app = Flask(__name__)
@app.route('/getCSV')
def getCSVfile():
keyword = request.args.get('keyword')
filename = createCSV(keyword)
return send_file(filename,
mimetype='text/csv',
... | bozzmob/twitter-stream-elasticsearch | downloadCSV.py | downloadCSV.py | py | 1,247 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.request.args.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.request.args",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "flask.request... |
7095382286 | import torch
from torch import nn
import torch.nn.functional as F
from layer_torch import RelationGatedConv
import random
from torch_geometric.nn.conv import MessagePassing, GCNConv, GATv2Conv
class MyNet_Torch(torch.nn.Module):
def __init__(self, kg1, kg2, sup_ent1, sup_ent2, triples, ent_num, rel_num, re... | laquabe/RGHN | code/model.py | model.py | py | 13,879 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.nn",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Embedding",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 56,
"usage_type": "name"
},
{
"api_name": "torch.nn.Embedding",
"li... |
4591075675 | #coding=utf-8
from math import sqrt
import matplotlib.pyplot as plt
dataset = [[1.2, 1.1], [2.4, 3.5], [4.1, 3.2], [3.4, 2.8], [5, 5.4]] #样本数据
# 计算样本均值
def mean(values):
return sum(values) / float(len(values))
# 计算 x 与 y 的协方差
def covariance(x, mean_x, mean_y):
covar = 0.0
for i in range(len(x)):
... | Guozhanxin/machine-learning | 01_simple_linear_regression/simple_linear_regression.py | simple_linear_regression.py | py | 2,152 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "math.sqrt",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.axis",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 52,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.... |
40319311237 | from socket import setdefaulttimeout
import httpx
from ansible.module_utils.basic import AnsibleModule
from ansible_collections.ansibleguy.opnsense.plugins.module_utils.helper.api import \
check_host, ssl_verification, check_response, get_params_path, debug_api, \
check_or_load_credentials, api_pretty_except... | ansibleguy/collection_opnsense | plugins/module_utils/base/api.py | api.py | py | 5,577 | python | en | code | 158 | github-code | 6 | [
{
"api_name": "httpx.ConnectTimeout",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "httpx.ConnectError",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "httpx.ReadTimeout",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name... |
35151307517 | import os
from redis import StrictRedis
redis_url = "redis://127.0.0.1"
db = StrictRedis.from_url(redis_url, decode_responses=True)
try:
db.echo("ping")
except:
print("ERROR communicating with Redis database.")
print("Start Redis instance first. Exiting.")
exit(1)
def main(filename):
with open(fil... | 1mbili/PAMiW | app/update_db.py | update_db.py | py | 603 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "redis.StrictRedis.from_url",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "redis.StrictRedis",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
18081533163 | # Spruce - a tool to help manage system software states.
# Copyright (C) 2017 Matt North
# This file is part of Spruce.
# Spruce 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 3 of the... | Mattsky/spruce | spruce/urls.py | urls.py | py | 1,516 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.conf.urls.url",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "spruce.views.index",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "spruce.views",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "django.conf... |
5722720970 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Jun 7 21:42:42 2019
@author: siddharth
"""
import functools
import vgg, datetime as dt
import tensorflow as tf, numpy as np,os
import transform_net
from utils import get_img
STYLE_LAYERS = ('relu1_1', 'relu2_1', 'relu3_1', 'relu4_1', 'relu5_1')
CONTE... | slickFix/Video_style_transfer | optimize.py | optimize.py | py | 8,276 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tensorflow.Graph",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "tensorflow.device",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "tensorflow.Session",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "tensorflow.plac... |
24731119074 | import board
import os
import sys
import neopixel
import time
from datetime import datetime
up_dir = os.path.dirname(os.path.abspath(__file__))+'/../../'
sys.path.append(up_dir)
from lcd import LCD as LCD
from ubo_keypad import * # Might have to revisit this form of import
from eeprom import *
from print_label import p... | ubopod/ubo-hw-acceptance | tests/hw_acceptance/test_summarize.py | test_summarize.py | py | 8,751 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "os.path.dirname",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line... |
69937111548 | # Importamos librerías
from pytesseract import pytesseract
import cv2
# Función para digitalizar el texto (digital o manuscrito) de una imagen
def digitalizeDigitalTextFromImage(img):
# Establecemos el path a tesseract.exe
path_to_tesseract = r'C:/Users/jesus/AppData/Local/Programs/Tesseract-OCR/tesseract.e... | jesussaro/TFA-Inteligencia-Artificial-JSC | DigitalizeDigitalText.py | DigitalizeDigitalText.py | py | 1,143 | python | es | code | 0 | github-code | 6 | [
{
"api_name": "pytesseract.pytesseract.tesseract_cmd",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "pytesseract.pytesseract",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "cv2.cvtColor",
"line_number": 22,
"usage_type": "call"
},
{
"a... |
10230109175 | from collections import defaultdict
import numpy as np
from evals.elsuite.bluff.bluff.cards import (
CARDS,
PlayerCards,
get_all_winning_hands,
get_bluff_move,
)
from evals.elsuite.bluff.bluff.game import Game
class Player:
def __init__(self, game: Game):
self.game = game
self.ga... | openai/evals | evals/elsuite/bluff/bluff/players.py | players.py | py | 6,493 | python | en | code | 12,495 | github-code | 6 | [
{
"api_name": "evals.elsuite.bluff.bluff.game.Game",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "numpy.random.default_rng",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 18,
"usage_type": "attribute"
},
{
"ap... |
32645228197 | """Guide Squash 01 module"""
from functools import partial
from mgear.shifter.component import guide
from mgear.core import transform, pyqt
from mgear.vendor.Qt import QtWidgets, QtCore
from maya.app.general.mayaMixin import MayaQWidgetDockableMixin
from maya.app.general.mayaMixin import MayaQDockWidget
from . impo... | mgear-dev/mgear4 | release/scripts/mgear/shifter_classic_components/tangent_spline_01/guide.py | guide.py | py | 7,915 | python | en | code | 209 | github-code | 6 | [
{
"api_name": "mgear.shifter.component.guide.ComponentGuide",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "mgear.shifter.component.guide",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "mgear.core.transform.getOffsetPosition",
"line_number": 51,
... |
42174639279 | import datetime
import logging
from enum import Enum
from typing import List, Tuple, Optional
from sqlalchemy import and_, func, or_, String, cast, desc, distinct
from sqlalchemy.orm import Session
from src import config
from src.accounts.models import Account, AccountUsedTraffic
from src.accounts.schemas import (
... | eloravpn/EloraVPNManager | src/accounts/service.py | service.py | py | 8,804 | python | en | code | 15 | github-code | 6 | [
{
"api_name": "enum.Enum",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "src.accounts.models.Account.expired_at.asc",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "src.accounts.models.Account.expired_at",
"line_number": 25,
"usage_type": "attribute... |
29328625022 | import time
import progressbar
data = []
count = 0
bar = progressbar.ProgressBar(max_value=1000000)
with open('reviews.txt', 'r') as f:
for line in f:
data.append(line)
count += 1
bar.update(count)
print('檔案讀取完了, 總共有', len(data), '筆資料')
sum_len = 0
for d in data:
sum_len += len(d)
prin... | TheCodingTanya/reviews_read | read.py | read.py | py | 1,699 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "progressbar.ProgressBar",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 50,
"usage_type": "call"
}
] |
74936094267 | from django.conf.urls import url, include
from rest_framework.routers import DefaultRouter
from .api import (DataSourceViewSet, DatabaseViewSet, TagViewSet,
PublicationViewSet, DataViewSet)
router = DefaultRouter()
router.register(r'datasources', DataSourceViewSet, base_name='api-datasources')
router... | LACNIC/internal-stats-portal | core/urls.py | urls.py | py | 679 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rest_framework.routers.DefaultRouter",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "api.DataSourceViewSet",
"line_number": 7,
"usage_type": "argument"
},
{
"api_name": "api.DatabaseViewSet",
"line_number": 8,
"usage_type": "argument"
},
{
... |
19184616148 | import simplejson as json
from datetime import datetime
import re
from functools import partial
fix_mojibake_escapes = partial(
re.compile(rb'\\u00([\da-f]{2})').sub,
lambda m: bytes.fromhex(m.group(1).decode()))
# with open(os.path.join(subdir, file), 'rb') as binary_data:
# repaired = fix_mojibake_esc... | omertalib42/Instagram-Parser | new_custom_script.py | new_custom_script.py | py | 1,070 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "functools.partial",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "simplejson.loads",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.utcfrom... |
13376093817 | '''
This code produces the evolution of the epithelial tissue when using the best
parameters (global and for the active pulses). On this file we define the
numerical parameters of the simulation. Then, we import the experimental data.
The program runs "classes_and_functions.py", which has all the definitions of
classes... | FernandaPerezV/Annual-Killifish-Interface | MainFile.py | MainFile.py | py | 6,051 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.loadtxt",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_n... |
14314545929 | import streamlit as st
import datetime
import time
import pandas as pd
import snscrape.modules.twitter as sntwitter
import pymongo
import os.path
# Streamlit Page Configuration.
st.set_page_config(page_title="Twitter Scraping",page_icon=":tada",layout='wide')
header = st.container()
with header:
st.t... | SrinivasanGajendran/Twitter-Scrapping-Using-Python-Pandas-MongoDB-Streamlit. | Twitter_Scrapping.py | Twitter_Scrapping.py | py | 5,326 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "streamlit.set_page_config",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "streamlit.container",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "streamlit.title",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "streaml... |
34600688655 | import numpy as np
import matplotlib.pyplot as plt
import sklearn
import sklearn.datasets
import sklearn.linear_model
from snn_utils import plot_decision_boundary, load_planar_dataset, sigmoid
np.random.seed(1)
def layer_sizes(X, Y):
"""
:param X :
X - array of shape (input size, number of examples)
... | anantsrivastava30/deeplearning | shallow_nn.py | shallow_nn.py | py | 7,323 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "numpy.random.seed",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.seed",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "numpy.random",
... |
70300237628 | from Flask import Flask, jsonify, redirect, render_template
import pymongo
import scrape_mars
client = pymongo.MongoClient('mongodb://localhost:27017/')
app = Flask(__name__)
db = client.mars_data_DB
mars_data = db.mars_data = mars_data['news_data']['paragraph_text_1']
@app.route("/")
def render_index()... | Bryano841/Web-Scraping | app.py | app.py | py | 2,417 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "Flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "Flask.render_template",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "scrape_mars.scrap... |
24117984691 | import torch
from pytorch_transformers import BertTokenizer, BertModel, BertForMaskedLM
# Load pre-trained model tokenizer (vocabulary)
tokenizer = BertTokenizer.from_pretrained('bert-base-uncased')
# Tokenize input
text = "[CLS] Who was Steve Jobs ? [SEP] Steve Jobs was a code master [SEP]"
tokenized_text = tokenize... | sachinumrao/pytorch_tutorials | masked_language_model.py | masked_language_model.py | py | 1,835 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pytorch_transformers.BertTokenizer.from_pretrained",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pytorch_transformers.BertTokenizer",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "torch.tensor",
"line_number": 29,
"usage_type": "call... |
32074264986 | import cv2
import pyzed.sl as sl
import numpy as np
import os
import math
import time
import sys
from Zed import zedmain
from adafruit_servokit import ServoKit
from command_or_passthrough import SBUSmain
from Navigates import Navigate
from PyLidar import LidarMain
from multiprocessing import Process, Pipe, Queue
debu... | sophierahn/Star-Wars-Training-Droid | Main.py | Main.py | py | 9,232 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "adafruit_servokit.ServoKit",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "Navigates.Navigate",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "multiprocess... |
19078323486 | import numpy as np
import os, sys
import random
import json
import time
class Problem:
def __init__(self, input):
self.input = input
self.numTasks = len(input)
self.test_iter = 3
# 變數
self.mating_rate = 1.0
self.num_parents_mating = int(len(self.input) * self.matin... | kliuhalo/AI_HW2_Genetic_algo | GA.py | GA.py | py | 12,050 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.maxsize",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "numpy.arange",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "numpy.random.choice",
"li... |
17228555797 | #!/usr/bin/env python3
from io import StringIO
import pandas as pd
import os
def read_dat(exe, *filenames, **kwargs):
"""templogger用datファイルの読み込み
JSON中間ファイルを生成せずに
DATファイルから直接pandasオブジェクトを返します
"""
files = ' '.join(filenames)
jsonbin = get_ipython().getoutput(
f'{exe} --format json {files}... | u1and0/templogger | read_dat.py | read_dat.py | py | 604 | python | ja | code | 0 | github-code | 6 | [
{
"api_name": "io.StringIO",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pandas.read_json",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",
"line_number": 17,
"usage_type": "call"
}
] |
34264955208 | from scipy.special import spherical_jn as jn #Сферическая функция Бесселя первого порядка
from scipy.special import spherical_yn as yn #Сферическая функция Бесселя второго порядка
import matplotlib.pyplot as plt
import urllib.request as url # открытие url
from numpy import pi #упрощение записи pi
from re import sp... | AlexPogudin/wor2 | Pogudin_16_2.py | Pogudin_16_2.py | py | 2,409 | python | ru | code | 0 | github-code | 6 | [
{
"api_name": "scipy.special.spherical_jn",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "scipy.special.spherical_yn",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "scipy.special.spherical_jn",
"line_number": 13,
"usage_type": "call"
},
{
"... |
6748703107 | import sys
import pygame
def check_keydown_events(event, ship):
"""Respond to keypresses."""
# Pressing down the keys, it means continue
if event.key == pygame.K_RIGHT:
ship.moving_right = True
elif event.key == pygame.K_LEFT:
ship.moving_left = True
def check_keyup_events(event, ship... | SubaruSama/python-crash-course | Cap 12/Aliens/Aliens/game_functions.py | game_functions.py | py | 1,217 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pygame.K_RIGHT",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pygame.K_LEFT",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pygame.K_RIGHT",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "pygame.K_LE... |
29561202314 | """
pdf_renderer.py
Created on: Aug 31 2013
Author: eli
"""
from flask import send_file
import os
import shutil
import subprocess
import tempfile
### FUNCTIONS ###
def create_env(app):
"""
Create a TeX environment.
"""
texenv = app.create_jinja_environment()
texenv.block_start_string = '((... | elidaian/sudoku | src/server/pdf_renderer.py | pdf_renderer.py | py | 1,473 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "tempfile.mkdtemp",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_n... |
11331631943 | from tkinter import *
from PIL import ImageTk, Image
import subprocess
import sys
class GUI:
def __init__(self, parent):
main_frame = Frame(parent, bg="white")
main_frame.pack()
#Logo
self.imagef_osc = Image.open("images/osc.png")
self.resize_image = self.imagef_osc.resize... | WalsalihiOSC/ormiston-cafe-jasond-osc | pay.py | pay.py | py | 2,499 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PIL.Image.open",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "PIL.ImageTk.PhotoImage",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "PIL.ImageTk",
"li... |
74929830587 | import socket
import base64
import hashlib
from Crypto import Random
from Crypto.Cipher import AES
key = 'asdfghjkl'
class AESCipher(object):
def __init__(self, key):
self.bs = 32
self.key = hashlib.sha256(key.encode()).digest()
def encrypt(self, raw):
raw = self._pad(raw)
... | rotemga/infosec9 | q2/a/winston.py | winston.py | py | 993 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "hashlib.sha256",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "Crypto.Random.new",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "Crypto.Random",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "Crypto.Cipher.AES.bloc... |
34487428963 | import logging as trace
import numpy as np
import time
import re
# Note: all logging (trace) messages
# are in debug mode in this file
class Potentiostat:
address = 250
kom = None
range_multiplier = 1e-9
time_multiplier = 5e-3
_freq=1000
_avg=20
_sample_number=0
def __init__(self, k... | ccucumber/verdeta-lockin | fotonowy/potentiostat.py | potentiostat.py | py | 7,864 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.debug",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "logging.debug",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "logging.error",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "logging.debug",
"line_n... |
39564061531 | import numpy as np
import cv2
import Memmory
from Convert import Convert
import Sub_function
import Marking
import sys
class SendValue:
pro_path_file = Memmory.PathFile('')
add_sub = Sub_function
def __init__(self, category, top, bottom, left, right, heading, content, first_para,
... | Bioas/myproject | webs/control/Format_management.py | Format_management.py | py | 13,331 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "Memmory.PathFile",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "Convert.Convert",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line... |
29185718772 | from aiogram import Bot, Dispatcher, types
from aiogram.dispatcher.filters import Text
from handlers.start import buttons, start
from configer import config
bot = Bot(token=config.TOKEN)
jena = types.InlineKeyboardButton('Жена', callback_data='for_mom')
griga = types.InlineKeyboardButton('Гриша', callback_data='for... | KOA1KO/batiabot | handlers/pinok.py | pinok.py | py | 2,929 | python | ru | code | 0 | github-code | 6 | [
{
"api_name": "aiogram.Bot",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "configer.config.TOKEN",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "configer.config",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "aiogram.types.Inl... |
35249573150 | import scipy.io as sio
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.lines as mlines
from sklearn import svm
from sklearn.preprocessing import minmax_scale
from sklearn.model_selection import GridSearchCV
from sklearn.model_selection import train_test_split
def plot_graph(train, test, type):
... | pantanurag555/UCLA_STAT231 | Project 3/Codes/P1_1.py | P1_1.py | py | 2,998 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.lines.Line2D",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.lines",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "matplotlib.lines.Line2D",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matp... |
4931664534 | import paddle.v2 as paddle
import sys
import gzip
import data_reader
# cnn layers
def model(x):
relu = paddle.activation.Relu()
conv_1 = paddle.networks.img_conv_group(
input=x,
num_channels=3,
pool_size=2,
pool_stride=2,
conv_num_filter=[32, 32],
conv_filter_si... | wondervictor/DeepLearningWithPaddle | OCR/model.py | model.py | py | 5,609 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "paddle.v2.activation.Relu",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "paddle.v2.activation",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "paddle.v2",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "paddle.v2.... |
26038563916 | from __future__ import annotations
import re
from collections import defaultdict
from dataclasses import dataclass
from pathlib import PurePath
from typing import DefaultDict, Iterable
from pants.backend.cc.subsystems.cc_infer import CCInferSubsystem
from pants.backend.cc.target_types import CCDependenciesField, CCSo... | pantsbuild/pants | src/python/pants/backend/cc/dependency_inference/rules.py | rules.py | py | 6,742 | python | en | code | 2,896 | github-code | 6 | [
{
"api_name": "re.compile",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "pants.engine.target.FieldSet",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "pants.backend.cc.target_types.CCSourceField",
"line_number": 40,
"usage_type": "name"
},
{
... |
22938441144 | import unittest
import sys
sys.path.append(".")
import pybiomol
import datetime
class PdbTest(unittest.TestCase):
def setUp(self):
self.pdb = pybiomol.get_pdb_from_file("tests/pdb/pdb_files/1SAM.pdb")
class PdbInformationTest(PdbTest):
def test_can_make_pdb(self):
self.assertIsInstance(sel... | samirelanduk/pybiomol | tests/pdb/test_structurefile.py | test_structurefile.py | py | 6,687 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "unittest.TestCase",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "pybiomol.get_pdb_fr... |
26257820556 | # Базовый класс моделей таблиц
from sqlalchemy.ext.declarative import declarative_base
# from sqlalchemy.orm import sessionmaker
import sqlalchemy as sa
Base = declarative_base()
# Variables
# Class definitions
class User(Base):
__tablename__ = "user"
id = sa.Column(sa.INTEGER, primary_key=True)
first_n... | vsixtynine/sf-sql-task | users.py | users.py | py | 2,507 | python | ru | code | 0 | github-code | 6 | [
{
"api_name": "sqlalchemy.ext.declarative.declarative_base",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.INTEGER",
"line_number": 14,
"usage_type": "attribute"
},
{
... |
10422035343 | from __future__ import annotations
from typing import TYPE_CHECKING, NamedTuple
from randovania.game_description.db.pickup_node import PickupNode
from randovania.game_description.resources.location_category import LocationCategory
from randovania.generator.pickup_pool import PoolResults
from randovania.generator.pick... | randovania/randovania | randovania/generator/pickup_pool/pool_creator.py | pool_creator.py | py | 3,072 | python | en | code | 165 | github-code | 6 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "randovania.layout.base.base_configuration.BaseConfiguration",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "randovania.game_description.game_description.GameDescription",
... |
19712676526 | import pyrebase
# Load all ML dependencies
import numpy as np
import spacy
from gensim.test.utils import common_texts, get_tmpfile
from gensim.models import Word2Vec
w2vmodel = Word2Vec.load("word2vec.model")
# Load English tokenizer, tagger, parser, NER and word vectors
nlp = spacy.load("en_core_web_sm")
# Configu... | ricohasgithub/IntegraBackend | app.py | app.py | py | 1,818 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "gensim.models.Word2Vec.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "gensim.models.Word2Vec",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "spacy.load",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pyrebas... |
33393669516 | import re
from django.shortcuts import get_object_or_404, render
from .models import Car
from django.core.paginator import EmptyPage, PageNotAnInteger, Paginator
# Create your views here.
def cars(request):
prod_data = Car.objects.order_by('-added_date')
paginator = Paginator(prod_data, 4)
page = request.G... | MImtiajAhmed/dealer-system | cars/views.py | views.py | py | 2,508 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "models.Car.objects.order_by",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "models.Car.objects",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "models.Car",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.co... |
17435142299 | import pytest
class Solution:
def minRemoveToMakeValid(self, s: str) -> str:
"""
Keep errs index while scaning,
Then remove all error chars in the end using a string builder
- 1 pass: when we meet a ), we can tell if it's error or not.
: when we meet a (, we can't ... | naubull2/codingtests | leetcode/quick-prep/1371_Minimum_Remove_to_Make_Valid_Parentheses/solution.py | solution.py | py | 1,393 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pytest.mark.parametrize",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "pytest.main",
"line_number": 43,
"usage_type": "call"
}
] |
26529704123 | # -*- coding: utf-8 -*-
"""
Created on Tue Dec 10 01:24:17 2019
@author: Rashika
"""
import urllib.request, json
import pandas as pd
def data():
url= urllib.request.urlopen("https://s3.amazonaws.com/open-to-cors/assignment.json")
data = json.loads(url.read().decode())
#print(data)
products= dat... | Rashika-Katiyar/Assignment_SmartServ | FetchData.py | FetchData.py | py | 706 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "urllib.request.request.urlopen",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "urllib.request.request",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "urllib.request",
"line_number": 12,
"usage_type": "name"
},
{
"api_nam... |
4084524461 | """Main module."""
import requests
import logging
import json
from datetime import datetime, timedelta
from slugify import slugify
# logging.basicConfig(filename='mpv.log', encoding='utf-8', level=logging.DEBUG)
logger = logging.getLogger("mpv")
queries = [
{
'id': 'depto',
'url': 'https://api.mas... | camboris/mpv | mpv/mpv.py | mpv.py | py | 3,880 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "request... |
4521003864 | import collections
import copy
import html
import json
import sys
import traceback
import urllib3
from bs4 import BeautifulSoup
from graphviz import Digraph
#cat-reqi Actual Course/Item
#cat-reqa Header/Area
#cat-reqg Sub-Heading/Group
COURSE_CLASS = "cat-reqi"
HOURS_PREFIX = '<span class="course_hours">('
http = ur... | ruler501/DegreePlanner | DegreePlanner.py | DegreePlanner.py | py | 13,001 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "urllib3.PoolManager",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "html.unescape",
... |
31933026491 | from pyspark.ml import Pipeline
from pyspark.ml.regression import GBTRegressor
from pyspark.ml.feature import VectorIndexer
from pyspark.ml.evaluation import RegressionEvaluator
from pyspark.sql import SparkSession
spark = SparkSession.builder.getOrCreate()
spark.sparkContext.setLogLevel("ERROR")
data = spark.read.fo... | geoffreylink/Projects | 07 Machine Learning/SparkML/sparkML_RG_gradientboostedtree.py | sparkML_RG_gradientboostedtree.py | py | 1,085 | python | en | code | 9 | github-code | 6 | [
{
"api_name": "pyspark.sql.SparkSession.builder.getOrCreate",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql.SparkSession",
"line_number": 7,
"usage_type... |
37893999172 | from utils.env_utils import create_env
from controller.mppi import MPPI
params = {'seed':42,
#'h':0.05,
'h':0.1,
'env_name':'Acrobot-v1.1',
'render_mode':'human',
'sample_type':'cubic',
'n_knots':15,
'horizon':30,
'temperature':1.0,
... | jrapudg/jax_control_mppi_meshcat | mppi_script.py | mppi_script.py | py | 1,186 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "utils.env_utils.create_env",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "controller.mppi.MPPI",
"line_number": 33,
"usage_type": "call"
}
] |
36222304116 | # -*- coding: utf-8 -*-
"""
"""
import gzip
import pandas as pd
from pathlib_mate import Path
def make_gzip(this_file, filename):
"""
将文件名为 <filename> 的 ``.tsv`` 文件 (后缀名必须是tsv, 否则出粗) 压缩成 ``.tsv.gz``
的压缩包文件. 执行该操作的 python 脚本必须和 ``.tsv`` 文件在同一目录下.
:param this_file: 当前 python 脚本的文件全路径
:param file... | MacHu-GWU/wotlkdoc-project | wotlkdoc/compressed_tsv.py | compressed_tsv.py | py | 1,268 | python | zh | code | 8 | github-code | 6 | [
{
"api_name": "pathlib_mate.Path",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pathlib_mate.Path",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "gzip.open",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pathlib_mate.Path",
... |
8979140860 | """
Gets a message from a local MQ
"""
import os
import pickle
import json
import time
import db
import queue_handler
import whisper_transcribe
from models import Video, Segment
from batch.bootstrap_logs import setup_logging
from utils import combine_batch_segment
logger = setup_logging("transcribe_logger", "data... | ashrielbrian/video_search | batch/transcribe.py | transcribe.py | py | 2,127 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "batch.bootstrap_logs.setup_logging",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "models.Video",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "pickle.loads",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path.... |
11299733811 | import subprocess
import os
from multiprocessing import Process
import math
from osmread import parse_file, Way, Node, Relation
import time
import pickle
from static import osm_dir as _dir
from tools.weather import weather
from tools.mercator import colors
from tools import parse_location
from sanic import Blueprint
fr... | PooryaSharifi/V | ha.py | ha.py | py | 7,756 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sanic.Blueprint",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "tools.weather.weather",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "sanic.response.json",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "bson.Object... |
17177378494 | """
Kaming Yip
CS677 A1 Data Science with Python
Apr. 19, 2020
Assignment 11.2: Custom K-means
"""
from pandas_datareader import data as web
import os
import pandas as pd
import numpy as np
from tabulate import tabulate
import matplotlib.pyplot as plt
from sklearn.preprocessing import StandardScaler
def main():
d... | KamingYip/Trading_Strategies_with_Stock_Data | Custom k-means Clustering.py | Custom k-means Clustering.py | py | 13,114 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "pandas_datareader.data.get_data_yahoo",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pandas_datareader.data",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "pandas.to_datetime",
"line_number": 29,
"usage_type": "call"
},
{
"a... |
27104675593 | from sklearn.metrics import silhouette_score, rand_score, adjusted_rand_score
from sklearn.discriminant_analysis import LinearDiscriminantAnalysis
def experiment_dimension_reduction_large_n(dim=100,n_clusters=5,spread=20,lower_bound=0,upper_bound=100,dp_n_components=50,\
pca_dim = 10,lda_dim = 2):
#data gen
... | weiwu99/ece682_project | experiments.py | experiments.py | py | 15,834 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sklearn.metrics.adjusted_rand_score",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.adjusted_rand_score",
"line_number": 91,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.adjusted_rand_score",
"line_number": 114,
"usage_... |
31236036771 | from django.contrib import admin
from django.contrib.admin import display
from .models import Empresa, Service, Resource, Team, Plan, Speech, Contact, Phone
#from luan_teste.admin_site import custom_admin_site
@admin.register(Empresa,Resource,Speech,Contact,Phone)
class FusionAdmin(admin.ModelAdmin):
pass
@... | diegoamferreira/teste-luan | fusion/admin.py | admin.py | py | 1,235 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "django.contrib.admin.register",
"line_number": 10,
"usage_type": "call"
},
... |
74325577467 | #!/usr/bin/env python3
import json
def readConfig(configFilePath = "config.json"):
"""Read and parse the config file as a dictionary.
:return: The config file as a dictionary.
"""
try:
with open(configFilePath) as configFile:
config = json.load(configFile)
except FileNotFoundError as e:
erro... | Jeinzi/ETD-Filter | configmanager.py | configmanager.py | py | 701 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.load",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "json.decoder",
"line_number": 19,
"usage_type": "attribute"
}
] |
28967973924 | import json
import sys
from typing import List, Literal, TypedDict
sys.path.append("pylib/anki/_vendor")
import stringcase
strings_json, ftl_js_path, ftl_dts_path, modules_js_path, modules_dts_path = sys.argv[
1:
]
with open(strings_json, encoding="utf8") as f:
modules = json.load(f)
class Variable(TypedDi... | NicolleNina/Anki | ts/lib/genfluent.py | genfluent.py | py | 3,515 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number... |
2056094992 | # USAGE
# python test_model.py --input downloads --model output/lenet.hdf5
from keras.models import load_model
from keras.preprocessing.image import img_to_array
from pyimagesearch.utils.captchahelper import process
from imutils import contours
from imutils import paths
import numpy as np
import argparse
import imutils... | lykhahaha/Mine | StarterBundle/chapter21-breaking_captchas/test_model.py | test_model.py | py | 2,432 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "keras.models.load_model",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "imutils.paths.list_images",
"line_number": 24,
"usage_type": "call"
},
{
"api_nam... |
25995623518 | import io
import json
import logging
import re
import subprocess
import tempfile
import time
from dataclasses import dataclass, field
from typing import Any, Dict, List
import yaml
from . import config
from . import entity
from . import exceptions
from . import model
from . import schema
from . import utils
log = l... | parlaylabs/model | model/pipeline.py | pipeline.py | py | 12,954 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "subprocess.Popen",
"line_number": 94,
"usage_type": "call"
},
{
"api_name": "subprocess.P... |
73658353149 | import logging
from universal_ci_noti.noti.producer import NotificationProducer
from universal_ci_noti.noti.queue import NotificationQueue
from universal_ci_noti.noti.types import JobResult
from universal_ci_noti.web_server import WebAPI
class WebProducer(NotificationProducer):
def __init__(self, queue: Notifica... | zifter/universal-ci-noti | src/universal_ci_noti/noti/producer/impl/web.py | web.py | py | 793 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "universal_ci_noti.noti.producer.NotificationProducer",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "universal_ci_noti.noti.queue.NotificationQueue",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "universal_ci_noti.web_server.WebAPI",
"lin... |
71236764669 | import numpy as np
import math
import transforms3d
class Transforms(object):
DTYPE = float
@staticmethod
def getRotMatEuler(rvec=[0, 0, 0]):
'''
Calculates Rotation Matrix given euler angles.
rotEuler = rotZ * rotY * rotX
'''
if not (rvec[0] or rvec[1] or rvec[2]):... | humanoid-robotics-htl-leonding/robo-ducks-core | tools/mate/mate/lib/transforms/transforms.py | transforms.py | py | 2,946 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "numpy.eye",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "math.cos",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "math.sin",
"line_number": 23,
... |
5214843588 | import os
import requests
def main():
fp = open("collage_parsed.json", 'r')
dir = "issues/"
done = False
for line in fp:
if "title" in line:
title = line.strip()[10:-2]
if "image" in line:
image = line.strip()[10:-2]
if "issue" and "pdf" in line:
... | nibraaska/Pharaoh | seedDataParse/parse_download.py | parse_download.py | py | 1,123 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "os.makedirs",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 30,
"usage_type": "call"
}
] |
9523494601 | from flask import Flask, render_template
import urllib.request, json
app_Rick = Flask(__name__)
@app_Rick.route("/")
def get_list_characters_page():
url = "https://rickandmortyapi.com/api/character"
response = urllib.request.urlopen(url)
data = response.read()
dict = json.loads(data)
return ren... | victoriamsm/rick_morty_api | app_R.py | app_R.py | py | 2,886 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "urllib.request.request.urlopen",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "urllib.request.request",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "u... |
28292154464 | from p11_15 import *
from scipy import stats
import matplotlib.pyplot as plt
def calculate_b1_from_origin(x, y):
den = np.sum(np.power(x, 2))
nom = 0
for i in range(len(x)):
nom += x[i] * y[i]
return nom/den
def estimate_var(y, y_pred):
return np.sum(np.power(np.subtract(y, y_pred), 2)) /... | mohamadi-sara20/learn-stats | ch11/p11_29.py | p11_29.py | py | 1,689 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "scipy.stats.t.isf",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "scipy.stats.t",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "scipy.stats",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.sc... |
7123589623 | # -*- coding: utf-8 -*-
import re
from zope.interface import Interface
from zope.component import getUtility
from zope import schema
from z3c.form import form, field, button
from plone.z3cform.layout import wrap_form
from upc.genweb.recaptcha.widget import ReCaptchaFieldWidget
from Products.statusmessages.interfaces i... | UPCnet/upc.genwebupctheme | upc/genwebupctheme/browser/contact.py | contact.py | py | 5,608 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "zope.schema.ValidationError",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "zope.schema",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "Products.CMFPlone.PloneMessageFactory",
"line_number": 23,
"usage_type": "call"
},
{
... |
11844717054 | from __future__ import print_function
import torch
import torch.nn as nn
import torch.nn.functional as F
import torchvision.models as models
import torch.optim as optim
from torchsummary import summary
from torchvision import datasets, transforms
import numpy as np
import matplotlib.pyplot as plt
import cv2 as cv
ep... | itsEricWu/cs490-research | Traffic_sign_new/traffic_sign.py | traffic_sign.py | py | 4,507 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_nu... |
72532838269 | # pylint: disable=redefined-outer-name
# pylint: disable=too-many-arguments
# pylint: disable=too-many-statements
# pylint: disable=unused-argument
# pylint: disable=unused-variable
import asyncio
import json
import time
from collections.abc import Awaitable, Callable, Iterator
from copy import deepcopy
from datetime ... | ITISFoundation/osparc-simcore | services/web/server/tests/unit/with_dbs/02/test_projects_states_handlers.py | test_projects_states_handlers.py | py | 51,752 | python | en | code | 35 | github-code | 6 | [
{
"api_name": "simcore_service_webserver._meta.API_VTAG",
"line_number": 55,
"usage_type": "name"
},
{
"api_name": "pytest.MonkeyPatch",
"line_number": 60,
"usage_type": "attribute"
},
{
"api_name": "pytest.fixture",
"line_number": 58,
"usage_type": "attribute"
},
{
... |
34814928333 | from django.shortcuts import render, redirect
from .models import Info, EditorialBody
# Create your views here.
def home(request):
if request.method == 'POST':
serial = request.POST['Serial']
information = Info.objects.all().get(serial_no=serial)
params = {'all': information}
retur... | nazmul53p/CRUD_Project | core/views.py | views.py | py | 1,196 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "models.Info.objects.all",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "models.Info.objects",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "models.Info",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.shor... |
11779890810 | import json
import numpy as np
from collections import Counter
print('reading dump')
with open('data/climate2/topics_big/dump_7000000_monthly.json', 'r') as f:
dump = json.load(f)
print('iterating')
no_climate = [t['topic'] for t in dump['tweets'] if 'climate' not in t['text'].lower()]
cnts = Counter(no_climate)... | TimRepke/twitter-climate | code/pipeline/scripts/count_no_climate.py | count_no_climate.py | py | 602 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "json.load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 12,
"usage_type": "call"
}
] |
29567160728 | # 用于模型和键盘操作比赛,键盘可以加速,键盘的小车为蓝色
import pygame
from pygame.locals import *
import math
from game_logic import my_item
from ai_logic_使用tensorflow框架.ai import get_res_by_tf
from ai_logic_自己实现神经网络.training_model import Network
import numpy as np
BLACK = (0, 0, 0)
WHITE = (255, 255, 255)
GREEN = (0, 255, 0)
RED = (255, 0, 0... | Gaoyang0/RacingGame | ai_logic_使用tensorflow框架/MotorRacing.py | MotorRacing.py | py | 7,982 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pygame.transform.rotate",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "pygame.transform",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "math.pi",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": "pygame.dra... |
26932246545 | import json
import requests
from Common.params import Params
from Conf.Config import Config
from Common import Assert
class TestCoursePlayAddress:
def test_response_data_format(self):
"""
用例描述：播放地址接口默认参数状态码返回
:return:
"""
conf = Config()
test = Assert.Assertions()
... | UncleLiketao/API_AutoTest_Framework_Python | TestCase/test_launcher3/test_course_playAddress.py | test_course_playAddress.py | py | 1,038 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "Conf.Config.Config",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "Common.Assert.Assertions",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "Common.Assert",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "Common.para... |
35246374807 | import boto3
sqs = boto3.client('sqs')
response = sqs.receive_message(
QueueUrl='https://sqs.us-east-1.amazonaws.com/292274580527/cc406_team4'
)
recibos = []
for message in response["Messages"]:
recibos.append(message["ReceiptHandle"])
print(message["Body"])
#for r in recibos:
# response = sqs.delet... | AnaValeriaGM/TacosFranc | CarpetaProyecto/proyecto.py | proyecto.py | py | 420 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "boto3.client",
"line_number": 3,
"usage_type": "call"
}
] |
24184583704 | import json
import numpy as np
import math
import cv2
from ego_pose.envs.humanoid_v1 import HumanoidEnv
from envs.visual.humanoid_vis import HumanoidVisEnv
class Pose2DContext:
def __init__(self, cfg, gt_comparison=False):
if gt_comparison:
self.vis_model = 'humanoid_1205_vis_single_v1'
... | marikoisogawa/OpticalNLOSPose | pose/ego_pose/utils/pose2d.py | pose2d.py | py | 11,728 | python | en | code | 17 | github-code | 6 | [
{
"api_name": "envs.visual.humanoid_vis.HumanoidVisEnv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "ego_pose.envs.humanoid_v1.HumanoidEnv",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 24,
"usage_type": "call"
},
... |
73844202747 | #!/usr/bin/env python
from imageprocessing import flatten_rgb_image
from parallel import process
import cv2, random, argparse, sys
import numpy as np
WIDTH = 64
HEIGHT = 64
parser = argparse.ArgumentParser()
parser.add_argument("-n", type = int, required = True) # number of instances for each class
parser.add_argum... | daniel-e/tinyimages | bin/gen.py | gen.py | py | 1,889 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "random.seed",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.random.rand",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.random",
... |
17770787051 | import nltk
# Function that works for multiple types of parsers (You are free to use something else if you want.)
def check_sentence(parser, sentence):
print("--------------------------------------------------")
print("Checking if provided sentence matches the grammar:")
print(sentence)
if isinstance(s... | Carmoondedraak/NLTK-project | PCF.py | PCF.py | py | 2,608 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "nltk.pos_tag",
"line_number": 22,
"usage_type": "call"
}
] |
72777547387 | import matplotlib.pyplot as plt
import numpy as np
y, x = np.ogrid[0:1:21j, 0:1:21j]
pi = np.pi
A = 1.0
vx = -A * (np.cos(2 * pi * x) * np.sin(2 * pi * y))
vy = A * (np.sin(2 * pi * x) * np.cos(2 * pi * y))
plt.quiver(x, y, vx, vy, color="b", label="velocity")
# uncomment the following lines to plot streamlines inst... | evgenyneu/ASP3162 | 01_intro_to_programming/python_plotting/03_vector_plot/vector_plot.py | vector_plot.py | py | 585 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "numpy.ogrid",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "numpy.pi",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "numpy.cos",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number": ... |
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