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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
32190404614 | import pygame
from tiles import Tile, AnimatedTile
from support import import_folder
from settings import screen_ratio
class Enemy(Tile):
def __init__(self, width, height, x, y, direction, speed, surface):
super().__init__(width, height, x, y)
self.direction = direction
self.speed = int(screen_ratio ... | MikeReeves27/platform-game | code/enemy.py | enemy.py | py | 1,793 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "tiles.Tile",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "settings.screen_ratio",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "pygame.transform.flip",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "pygame.transfor... |
17733012963 | import sys
import os
from flask import Flask, request, jsonify, redirect, url_for
app = Flask(__name__)
#@app.route("/", methods=['GET','POST', 'PUT', 'DELETE', 'PATCH','OPTIONS'])
@app.route("/", methods=['GET','POST', 'PUT', 'DELETE', 'PATCH','OPTIONS'])
def home():
return printAndReturnRequest(request)
@app.r... | molleer/echo-rest | app/main.py | main.py | py | 873 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.request",
"line_number": 11,
"usage_type": "argument"
},
{
"api_name": "flask.request",
"line_number": 16,
"usage_type": "argument"
},
{
"api_name": "flask.request.headers.... |
19918645962 | from flask import Blueprint, request, jsonify
from flask_cors import cross_origin
from utilities.query_signup import SignUp
from database_functions.db_connection.connection import connection
from database_functions.groups.querying_functions import get_status_for_group, get_group_pending_state_machine
checkUserAPI = Bl... | anurag-as/Costrajectory | backend/api/auth/checkUser.py | checkUser.py | py | 1,211 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Blueprint",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "utilities.query_signup.SignUp",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.request.json",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "... |
13296761805 | import cv2, time, pandas
from datetime import datetime
first_frame = None
status_list = [None, None]
times = []
df = pandas.DataFrame(columns=["Start", "End"])
video = cv2.VideoCapture(0) # creates the video object
time.sleep(2) # allows webcam to initialize properly
while True:
check, frame = video.read()
... | slylikeme/Motion-Detector-App | motion_detector.py | motion_detector.py | py | 2,667 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.DataFrame",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_n... |
30271224111 | import cv2
from base_camera import BaseCamera
class Camera(BaseCamera):
video_source = 0
width = 1024
height= 768
@staticmethod
def set_video_source(source):
Camera.video_source = source
@staticmethod
def set_video_height(height):
Camera.height = height
return Came... | Microshak/AI_Benchtest_Cam | camera_opencv.py | camera_opencv.py | py | 1,004 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "base_camera.BaseCamera",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 29,
"usage_type": "call"
}
] |
35135478385 | from module import obo2csv
from configure import obo_url,num_threads
excludeGO = "GO:0005515,GO:0005488,GO:0003674,GO:0008150,GO:0005575"
#excludeGO = ""
import sys
import os
import multiprocessing as mp
from multiprocessing import Pool
from contextlib import closing
def get_obo_dict(): # read obo_dict
fp = open... | QuanEvans/parallel-atgo | parallel-gpu/Find_Parents.py | Find_Parents.py | py | 3,473 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "configure.obo_url",
"line_number": 13,
"usage_type": "argument"
},
{
"api_name": "module.obo2csv.parse_obo_txt",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "module.obo2csv",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "sys... |
27380157280 | from kivy.app import App
from kivy.uix.boxlayout import BoxLayout
from kivy.uix.label import Label
from kivy.core.window import Window
from kivy.graphics import Color, Line, Ellipse, Rectangle
Window.set_system_cursor('crosshair')
class MousePosDemo(BoxLayout):
def __init__(self, **kwargs):
super(MousePo... | KenoLeon/NeuralNetViewer_Wrk | Prototypes_Kivy/Kivy_tests/mouseEventsWidget.py | mouseEventsWidget.py | py | 1,376 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "kivy.core.window.Window.set_system_cursor",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "kivy.core.window.Window",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "kivy.uix.boxlayout.BoxLayout",
"line_number": 9,
"usage_type": "name"
}... |
26989485810 | import json
import matplotlib.pyplot as plt
import torch
import step7_model
import numpy as np
import sys
from sklearn.cluster import DBSCAN
np.set_printoptions(threshold=sys.maxsize)
def draw_loss_pic(): # 画出5次迭代的损失值曲线图
loss = []
for i in range(5): # 遍历每一个损失文件
path = "triplet_model_c... | cgeeeeh/Projects-referred-in-CV | 论文作者冷启动同名消岐/code/方法1：参考论文复现/step9_drawloss.py | step9_drawloss.py | py | 3,320 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.set_printoptions",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.maxsize",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plo... |
26930044880 | import datetime
from PyQt4.QtCore import Qt
from PyQt4.QtGui import QColor, QGraphicsDropShadowEffect, QLabel
class Log():
def __init__(self, name="MAIN()", level="error"):
self.level = level
self.name = name
def log(self, message, lvl):
ts = "{:%x %X} ".format(datetime.datetime.now())
nm = "{:<20}".for... | Gadget512/TyPiClock | Clock/Utilities.py | Utilities.py | py | 3,379 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "datetime.datetime.now",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "PyQt4.QtCore.Qt.AlignLeft",
"line_number": 54,
"usage_type": "attribute"
},
{
"api_n... |
75327303720 | from .base import BaseDataset
import numpy as np
import os
import torch
import pandas as pd
import copy
from utils.tools import get_sub_luna_point,get_sub_sun_point, dprint
from utils.timefeatures import time_features
from .normlizer import PreGauessNormlizer,PreUnitNormlizer,NoneNormlizer,PostGauessNormlizer,... | veya2ztn/Seq2SeqAutoregressiveModel | dataset/WeatherBenchDataset.py | WeatherBenchDataset.py | py | 36,162 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "numpy.timedelta64",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "numpy.maximum",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "numpy.vstack",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line... |
32175119860 |
# %% Specify which data-set should be analyzed
name_probes = 'Probes__cov-2' # Genomic probes
#name_probes = 'Probes__cov-2--RevComp' # Replication intermediate
# %% Imports
from pathlib import Path
import pandas as pd
from covfish import probe_designer
import seaborn as sns
import numpy as np
import matplotlib.pyp... | muellerflorian/corona-fish | workflows/probe_design/5_blast_combine.py | 5_blast_combine.py | py | 4,853 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "pathlib.Path",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pathlib.Path.cwd",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "importlib.reload",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "covfish.probe_designer... |
10447989935 | # (c) 2017 Gregor Mitscha-Baude
"""stokesian dynamics simulation of two kinds of particles
framework: given list of particle centers xi and radii ri, for each timestep, calculate:
1.) external force on each particle (and torque?) F(xi, ri) or even F(x1,...,xn; r1,...,rn)
2.) brownian (random) force (and torque?) Frand... | mitschabaude/nanopores | scripts/stokesian/simulation.py | simulation.py | py | 10,566 | python | en | code | 7 | github-code | 18 | [
{
"api_name": "numpy.reshape",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number"... |
11621720255 | # -*- coding:utf-8 -*-
# Last Change : Fri 02 Nov 2018 16:40:31.
import socket
import json
import threading
import matplotlib.pyplot as plt
import pickle
# {"range":float,"angle":float,"x":float,"y":float,"radian":float}
class SLAM(object):
'''recv map data and draw map'''
def __init__(self, origin=[0, 0]):
... | mryyomutga/PDIII | client/client_json_dump_test.py | client_json_dump_test.py | py | 3,993 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "threading.Thread",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "socket.socket",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_DGRAM"... |
20100153879 |
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import tensorflow as tf
from tensorflow.keras.layers import AveragePooling2D
from tensorflow.keras.layers import Dropout
from tensorflow.keras.layers import Flatten
from tensorflow.keras.layers import Dense
from tensorflow.keras.layers ... | Ayubii/Proyek-Akhir | Train Mask Detector.py | Train Mask Detector.py | py | 6,382 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.join",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 57,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number"... |
35461659719 | import csv
from datetime import datetime
# Year, Avg Price, Min Price, Max Price, Avg Volume, Min Volume, Max Volume
def get_year(date: str) -> int:
date = datetime.strptime(date, "%d-%m-%Y").date()
year = date.year
return year
def create_new_csv_file(file_name: str, fieldnames: list[str]) -> None:
... | druckhead/EduLabs-FullStack-Course | python/Lessons/Lesson_9/Homework/D1_files_directories/E2.py | E2.py | py | 4,082 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "csv.DictWriter",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "csv.QUOTE_N... |
71693796519 | import torch
from torch import nn
from torch.nn import init
from torchvision.datasets import FashionMNIST
import numpy as np
import sys
from torch.utils.data import DataLoader
from torchvision import transforms
'''
1、数据加载
2、权重初始化、数据预处理 分割 裁剪
3、loss函数定义
4、准确度估计
torchvision.datasets: 一些加载数据的函数及常用的数... | huangshixin/python-base_learing | C_深度学习/B-深度学习基础/F-softmax回归从0开始实现.py | F-softmax回归从0开始实现.py | py | 6,081 | python | zh | code | 0 | github-code | 18 | [
{
"api_name": "torchvision.datasets.FashionMNIST",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms.ToTensor",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 43,
"usage_type": "name"
},
... |
12582440301 | # @author: Gautam Patel
# Problem Description URL: https://www.hackerrank.com/challenges/two-characters/problem
#!/bin/python3
import math
import os
import random
import re
import sys
from itertools import groupby
from collections import Counter
# Complete the alternate function below.
def isStringAlternate(s):
i... | gautambp/HackerRank | Master/python3/two-characters.py | two-characters.py | py | 1,184 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "re.compile",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 43,
"usage_type": "attribute"
}
] |
38927369560 | #
# @lc app=leetcode id=162 lang=python3
#
# [162] Find Peak Element
#
# @lc code=start
from typing import List
class Solution:
def findPeakElement(self, nums: List[int]) -> int:
length = len(nums)
left = 0
right = length - 1
while left < right:
mid = (left + right) /... | huhudev-git/leetcode | 162.find-peak-element.py | 162.find-peak-element.py | py | 1,033 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 12,
"usage_type": "name"
}
] |
37438772060 | import serial
from serial.tools.list_ports import comports
import time
from statistics import mean
class Connect:
connection_status = False
def __init__(self):
self.xData = []
self.yData = []
self.ocpData = []
# Get a list of all connected devices through serial port
co... | jrmc502/AWT | Software/connect.py | connect.py | py | 3,181 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "serial.tools.list_ports.comports",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "serial.Serial",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "time.sleep"... |
74638396201 | from sklearn import metrics
def CD_map_to_int(x):
# Returns D:0 C:1
return 68 - ord(x)
# Itertuples is a list of (index,col1,col2,..) for each row. We sort them by score first
df_vectors = pd.DataFrame()
df_vectors_strings = pd.DataFrame()
df_generation_max = df_generation_max.sort_values('opponent_name')
d... | GitToby/FinalYearProject | LaTeX/tex/code_snippets/appendix/dist_matrix.py | dist_matrix.py | py | 2,630 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "sklearn.metrics.pairwise.pairwise_distances",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.pairwise",
"line_number": 42,
"usage_type": "attribute"
},
{
"api_name": "sklearn.metrics",
"line_number": 42,
"usage_type": "name"
},
... |
70287225641 | #!/usr/bin/python3
from typing import List, Tuple, Dict, Set, Union
from re import split
from operator import mul, add
def compute_equal_precedence(enumerator: enumerate) -> int:
op = lambda a, b: b
result = 0
for i, t in enumerator:
if t == "*":
op = mul
elif t == "+":
... | julminen/aoc-2020 | day_18.py | day_18.py | py | 2,678 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "operator.mul",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "operator.add",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number... |
31808615601 | from tkinter import *
import math, random
import sqlite3
import sys
import django
from time import sleep
django.setup()
# Conductor est un daemon
from threading import Thread
from components.mission import Mission
import signal
polling_interval = 1
def bddCreation():
"""
CREATE TYPE droneStatus AS ENUM('busy'... | Oclean14/delivrone | Server/conductor_pour_test/conductor.py | conductor.py | py | 3,952 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.setup",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "random.uniform",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 157,
"usage_type": "call"
},
{
"api_name": "components.mission.Mission",
... |
70258467241 | #!/usr/bin/env python
# TODO: search
# - https://docs.python.org/3/library/json.html
# - https://docs.python.org/3/library/urllib.request.html#module-urllib.request
import json
import os
import sys
import urllib.parse as parse
import urllib.request as req
from urllib.error import HTTPError
from colorama import Fore,... | allanpedroni/python | hello/pr/pr-trello.py | pr-trello.py | py | 6,909 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "os.environ.get",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 50,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_... |
17033115239 | #coding: utf-8
#本程序用于显示数据清理和流重组后的数据
import sys
from window_base import *
from PyQt5.QtWidgets import QAbstractItemView, QHeaderView
from PyQt5.QtGui import QFont
class show_Dataclustering_Window(QtWidgets.QMainWindow, Ui_MainWindow):
def __init__(self):
super(show_Dataclustering_Window, self).... | Nicolas-yuan/graduation_project_0x03 | showClustering.py | showClustering.py | py | 6,208 | python | zh | code | 3 | github-code | 18 | [
{
"api_name": "PyQt5.QtWidgets.QAbstractItemView.NoEditTriggers",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtWidgets.QAbstractItemView",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QAbstractItemView.SelectRows",
"line_... |
22326134163 | # coding=utf8
from django.conf import settings
from hashlib import md5
from pymogile import Client
from wand.image import Image
class Avatar(object):
def __init__(self, key):
self.key = key
self.__origin_store_key = 'avatar/origin/' + self.__key
self.__large_store_key = 'avatar/large/... | guoku/Raspberry | raspberry/base/avatar.py | avatar.py | py | 2,572 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pymogile.Client",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "django.conf.settings.MOGILEFS_DOMAIN",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 18,
"usage_type": "name"
},
{
"ap... |
7348528825 | """
This library does all the complex network analysis required by the program
"""
# from typing import List, Any, Tuple, Dict, Union
import inspect
import csv
import networkx as nx
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.colors as colors
import matplotlib.cm as cmx
import json
import random... | sayonsom/pycanvass | pycanvass/complexnetwork.py | complexnetwork.py | py | 23,018 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "pycanvass.utilities._banner",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pycanvass.utilities",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "os.path.split",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.path... |
1038474946 | """MATH96012 2019 Project 1
Alexander John Pinches
CID: 01201653
"""
import numpy as np
import matplotlib.pyplot as plt
import scipy.spatial.distance as ds
import scipy.optimize as op
#--------------------------------
plt.style.use('ggplot') # plot style
plt.rcParams["figure.figsize"] = [8,8] # figure size
def simula... | Parply/M3C-High-Performance-Computing | Project 1/p1.py | p1.py | py | 7,892 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "matplotlib.pyplot.style.use",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.style",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 10,
"usage_type": "name"
},
{
"api_na... |
2750065450 | from itertools import chain
import sys
A, B, K = map(int, input().split())
diff = B - A
if diff == 0:
print(A)
sys.exit()
if K > diff:
K = diff
ans = [x for x in chain(range(A, A + K), range(B - K + 1, B + 1))]
ans = sorted(list(set(ans)))
print('\n'.join(map(str, ans)))
| shioyama18/atcoder | ABC093_B_Small_and_Large_Integers.py | ABC093_B_Small_and_Large_Integers.py | py | 289 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.exit",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "itertools.chain",
"line_number": 14,
"usage_type": "call"
}
] |
32800257198 | import pyodbc
from airflow import DAG
from airflow.operators.python import PythonOperator
from airflow.utils.dates import days_ago
our_dag = DAG(
"RefreshAnalysisServer",
description='Обновление модели Analysis Server - Monopoly',
start_date=days_ago(0, 0, 0, 0, 0),
tags=['python'],
)
conn_str = (
... | dmtvasin/DataEngineering | airflow/dags/RefreshAnalysisServer.py | RefreshAnalysisServer.py | py | 930 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "airflow.DAG",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "airflow.utils.dates.days_ago",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pyodbc.connect",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "airflow.operato... |
26290720732 | import re
import logging
_log = logging.getLogger("PingRelay")
class MessageFormatter():
def __init__(self, message_format, alert_user="@everyone", time_format = "%Y-%m-%d %I:%M:%S %p"):
self.format = message_format
self.time_format = time_format
self.alert_user = alert_user
def forma... | FlyingKiwiBird/PingRelay | Resources/MessageFormatter.py | MessageFormatter.py | py | 1,343 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 13,
"usage_type": "call"
}
] |
450419257 | import argparse
from pathlib import Path
import numpy as np
from matplotlib import pyplot as plt
from sklearn.metrics import ConfusionMatrixDisplay, confusion_matrix, f1_score
from models.hmm.facial_movement import ordinal_from_csv
from models.hmm.prediction_visualisation import load_predictions
from models.hmm.test_... | Casvanrijbroek/Sign-Language-Thesis | validation/cross_validation.py | cross_validation.py | py | 13,678 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "utils.draw.set_seaborn_theme",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.title",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 43,
"usage_type": "name"
},
{
"api_name":... |
29818523841 | from airflow.hooks.postgres_hook import PostgresHook
from airflow.contrib.hooks.aws_hook import AwsHook
from airflow.hooks.S3_hook import S3Hook
from airflow.models import BaseOperator
from airflow.utils.decorators import apply_defaults
class StageToRedshiftOperator(BaseOperator):
ui_color = '#358140'
@apply_... | Hayleypp/udacity_dataengineering | d_engieering05/plugins/operators/stage_redshift.py | stage_redshift.py | py | 1,437 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "airflow.models.BaseOperator",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "airflow.utils.decorators.apply_defaults",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "airflow.hooks.S3_hook.S3Hook",
"line_number": 23,
"usage_type": "call"... |
1249965338 | import sys
from csp.tools.build import util
from csp.tools.build import scons
from subprocess import Popen, PIPE
import pickle
import re
from distutils import sysconfig
GetPythonInclude = sysconfig.get_python_inc
GetPythonLibrary = sysconfig.get_python_lib
def CheckSConsVersion(minimum):
version = scons.GetVe... | nsmoooose/csp | csp/tools/build/autoconf.py | autoconf.py | py | 7,779 | python | en | code | 8 | github-code | 18 | [
{
"api_name": "distutils.sysconfig.get_python_inc",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "distutils.sysconfig",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "distutils.sysconfig.get_python_lib",
"line_number": 13,
"usage_type": "attrib... |
34314901956 | #
# @lc app=leetcode id=1 lang=python3
#
# [1] Two Sum
#
# @lc code=start
from typing import List
class Solution:
def twoSum(self, nums: List[int], target: int) -> List[int]:
num_to_index = {}
for i, num in enumerate(nums):
complement = target - num
if complement in num_t... | krishhsuri/leetcode- | 1.two-sum.py | 1.two-sum.py | py | 459 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 11,
"usage_type": "name"
}
] |
1042832572 | from django.contrib.auth.decorators import login_required
from django.utils import timezone
from django.shortcuts import render, get_object_or_404, redirect
from django.contrib import messages
from ..models import Question
from ..forms import QuestionForm
# Create your views here.
@login_required(login_url='common:lo... | sungm1nn/Hello | mysite/pybo/views/question_views.py | question_views.py | py | 2,058 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "forms.QuestionForm",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.utils.timezone.now",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "django.utils.timezone",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "dj... |
12707495708 | from __future__ import annotations
from collections import defaultdict
from collections.abc import Hashable
from functools import wraps
from inspect import signature
from time import monotonic
from typing import Any, Callable, TypeVar
from typing_extensions import ParamSpec
T = TypeVar("T")
P = ParamSpec("P")
_senti... | EspenAlbert/py-libs | zero_3rdparty/src/zero_3rdparty/cache_ttl.py | cache_ttl.py | py | 2,397 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "typing.TypeVar",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "typing_extensions.ParamSpec",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "time.monotonic",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "functools.w... |
18336772711 | #!/usr/bin/python
#
# -*- coding: utf-8 -*-
# vim: set ts=2 sw=2 et sts=2 ai:
import copy
import time
try:
import simplejson
except:
import json as simplejson
import urllib2
import logging
from cache import CACHE
from helpers import *
from libcloud_gae import ResourceNotFoundError
def parse_time(timestamp_str)... | mithro/chrome-buildbot-sprint | appengine/objects.py | objects.py | py | 7,396 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "libcloud_gae.ResourceNotFoundError",
"line_number": 71,
"usage_type": "name"
},
{
"api_name": "cache.CACHE.get",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "cache.CACHE",
"line_number": 75,
"usage_type": "name"
},
{
"api_name": "cache.... |
7958448658 | #!/usr/bin python3
# ----------------------------------------------------------------------------
# IOTpoll cycles thru the connected pins and returns back to Promethus server
# the settings, An API gateway allows grafana pages to switch relays
# if required
#
# To Set : View Readme.txt in ... | leerobo/IOT | IOTpoll/IOTpoll.py | IOTpoll.py | py | 11,851 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.path.append",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "configparser.ConfigParser",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "configparser.... |
14727645440 | from __future__ import unicode_literals
import logging
import time
from django.conf import settings
from django.core.management.base import BaseCommand, CommandError
from django.db import connection
from multigtfs.models import Feed, Route, Shape, Trip
class Command(BaseCommand):
help = 'Updates the cached geom... | tulsawebdevs/django-multi-gtfs | multigtfs/management/commands/refreshgeometries.py | refreshgeometries.py | py | 4,597 | python | en | code | 51 | github-code | 18 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "time.time",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "django.core.management.base.CommandError",
"line_number": 41,
"usage_type": "call"
},... |
9946649351 | import math
from typing import List
class InfiniteArray:
def __init__(self, nums:List[int]):
self.nums = nums
def get(self, index):
if index >= len(self.nums):
return math.inf
return self.nums[index]
def binary_search(arr, start, end, key):
while start <= end:
... | swechhasingh/my-coding-journey | modified_binary_search/search_in_sorted_infinite_array.py | search_in_sorted_infinite_array.py | py | 1,247 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "math.inf",
"line_number": 10,
"usage_type": "attribute"
}
] |
22294257591 | import math
import torch
import torch.nn as nn
from torch.nn import functional as F
import os
import tiktoken
from ._transformer import LayerNorm, Block
from ..config import Config as cfg
new_line = tiktoken.get_encoding("gpt2").encode("\n")[0]
class GPT(nn.Module):
"""
A class that represents the GPT model.
... | SilvioBaratto/GPTGram | GPTGram/model/_gpt.py | _gpt.py | py | 16,307 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "tiktoken.get_encoding",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.nn.Module",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "config.Config.gpt... |
27878243153 | # 重构为使用chain请求
import pandas as pd
from langchain.chains import LLMChain
from langchain.llms.openai import OpenAI
from langchain.output_parsers import StructuredOutputParser, ResponseSchema
from langchain.prompts import PromptTemplate
# 响应解析器，将来会按指定格式解析响应，同时可以提供对该格式的描述用于模板
output_parser: StructuredOutputParser = Struc... | PengleiYu/CourseLangchain | 08_链上_SequencialChain/chapter3_refactor.py | chapter3_refactor.py | py | 1,653 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "langchain.output_parsers.StructuredOutputParser",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "langchain.output_parsers.StructuredOutputParser.from_response_schemas",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "langchain.output_parsers.Resp... |
71957799079 | from flask import Flask, request, jsonify
from flask_cors import CORS, cross_origin
from Utils import verifyListingShape, verifyUserShape, verifyUser, verifyLoginShape, verifyAuthShape, verifyTransacationShape, verifyMessageShape
from Models import Listings, User, Transaction, Messages
from basicauth import decode
from... | d-mooers/The-Market-Client | api/App.py | App.py | py | 6,649 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
... |
74498249641 | from django.urls import include, path
from . import views
urlpatterns = [
path('signup', views.add, name="signup"),
path('signin', views.login, name="signin"),
path('logout', views.logout, name='logout'),
path('update/<str:id>', views.update, name='update')
]
| bambadiagne/django-exploration | users/urls.py | urls.py | py | 278 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.urls.path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
22788787360 | """"
This is the instrument definition file for PyCat. Here we define the classes that reads instrument raw
data into a standardized data format. For most instruments this is a simple pandas Dataframe. The main
point is that the standardized data format should be the same for all instrument. That way
the analysis clas... | NicolaiHaaberJunge/UiOcat | uiocat/instrument.py | instrument.py | py | 11,034 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pkg_resources.resource_stream",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.... |
29021458178 | import os
import numpy as np
import pandas as pd
import torch
import requests
from bs4 import BeautifulSoup
with open('record.txt') as f:
model_paths = f.read().splitlines()
# #make predictions and save as .txt files
# PUT HERE - code that loads model and makes predictions on test set. Then saves predictions for... | GateNLP/PEFT_FFT_multilingual | st3/submit.py | submit.py | py | 3,510 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.post",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 87,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
... |
19310598535 | # lavadoras/urls.py
from django.urls import path
from .views import LavadoraListView, LavadoraCreateView, LavadoraUpdateView, LavadoraDeleteView
urlpatterns = [
path('', LavadoraListView.as_view(), name='lavadoras-list'),
path('crear/', LavadoraCreateView.as_view(), name='lavadora-create'),
path('editar/<i... | seuz716/AlquilerLavadoras | myproject/lavadoras/urls.py | urls.py | py | 473 | python | pt | code | 0 | github-code | 18 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "views.LavadoraListView.as_view",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "views.LavadoraListView",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "d... |
13780227365 | import torch
import numpy as np
def image_batch_transformation(batch, transformation):
perturbed = []
for k in range(batch.shape[0]):
image_k = batch[k, :, :].cpu().detach().numpy()
perturbed.append(transformation(image=image_k)['image'])
perturbed = torch.FloatTensor(perturbed).uns... | BearSubj13/metrlearn_dsprites | utils.py | utils.py | py | 850 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torch.FloatTensor",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.moveaxis",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.moveaxis",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "torch.FloatTensor",
... |
17539281782 | from flask import Flask, render_template, request
import joblib
app = Flask(__name__)
@app.route('/')
def indexPage():
return render_template("homePage.html")
@app.route('/', methods = ['POST'])
def pricePage():
if request.method == 'POST':
crim = float(request.form['crim'])
zn = float(request.form['zn'])
in... | akabhishek680/Boston-House-Price-Prediction | bostonHousePricePrediction.py | bostonHousePricePrediction.py | py | 2,162 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "flask.reque... |
26911309104 | import argparse
import math
import cv2
import numpy as np
import numpy.random as nprnd
import os
import torch
import torch.utils.data
import tqdm
# import sys
# sys.path.append("..")
from data import datasets
from utils.train_utils import load_multi, restore_checkpoint, fill_ohem_mask, detection_loss
# Train and va... | wuzhenyusjtu/LPCVC20-VideoTextSpotting | lpcv_fots/test.py | test.py | py | 3,277 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "torch.no_grad",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "data.datasets.SampleD... |
24652984168 | from flask import Flask, render_template, request,redirect,url_for,session
import random
from utils.learning import *
import json
import requests
app = Flask(__name__)
app.secret_key = 'password'
IMDB_KEY = "3df29fd2"
BASEURL = "http://www.omdbapi.com/?i=tt"
movie_list = []
def get_request_url(movid):
return BASEURL... | sachalmalick/Movie-Reccomender | app.py | app.py | py | 2,186 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "random.sample",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"li... |
31227244639 | #!/usr/bin/env python
''' Runs wsgi web server using bottle framework
To get usage
$ python server_bottle.py -h
Runs embedded wsgi server when run directly as __main__.
The server is at http://localhost:port or http://127.0.0.1:port
The default port is 8080
The root path is http://localhost:... | vmware-archive/halite | halite/server_bottle.py | server_bottle.py | py | 22,995 | python | en | code | 414 | github-code | 18 | [
{
"api_name": "aiding.getLogger",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"... |
6220423597 | from transitions import Machine
from common.transaction import auto_meta_sync
from datamanage.pro.datamodel.models.model_dict import DataModelStep, DataModelPublishStatus
from datamanage.pro.datamodel.models.datamodel import DmmModelInfo
from datamanage.pro.datamodel.dmm.object import get_object
# step_id的状态转移矩阵
STE... | Tencent/bk-base | src/api/datamanage/pro/datamodel/dmm/state_machine.py | state_machine.py | py | 6,256 | python | en | code | 85 | github-code | 18 | [
{
"api_name": "datamanage.pro.datamodel.models.model_dict.DataModelStep.INIT",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "datamanage.pro.datamodel.models.model_dict.DataModelStep",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "datamanage.pro.datamo... |
41240920203 | from random import randint
from telegram import Update, Bot
from telegram.ext import Updater, CommandHandler, Filters, MessageHandler, ConversationHandler
bot = Bot(token='5594488827:AAG1tLzTOpSE1_tEABaf43GT3uf0iukcGdI')
updater = Updater(token='5594488827:AAG1tLzTOpSE1_tEABaf43GT3uf0iukcGdI', use_context=True)
dispat... | AleksNest/PhythonHomeworks | homework10.py | homework10.py | py | 6,363 | python | ru | code | 0 | github-code | 18 | [
{
"api_name": "telegram.Bot",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "telegram.ext.Updater",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "random.randint",
"... |
42109201262 | from logging import exception
from time import time
import pyautogui
import cv2
import numpy as np
import timeit
import mss
import prueba
from PIL import Image
cv2.namedWindow("Live", cv2.WINDOW_NORMAL)
cv2.resizeWindow("Live", 1024, 1024)
monitor = {'top': 40, 'left': 0, 'width': 1024, 'height': 1024}
ms... | 0omanuo0/mcIA | screen.py | screen.py | py | 1,345 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cv2.namedWindow",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.WINDOW_NORMAL",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "cv2.resizeWindow",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "mss.mss",
... |
39447564622 | from django.views.generic import DetailView
from django.shortcuts import get_object_or_404
from django.http import JsonResponse
from django.utils import timezone
from champsquarebackend.core.loading import get_model, get_class
AnswerPaper = get_model('quiz', 'AnswerPaper')
VideoRecord = get_model('monitoring', 'Vide... | ChampSquare/ChampionSquareBackend | champsquarebackend/apps/monitoring/views.py | views.py | py | 1,450 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "champsquarebackend.core.loading.get_model",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "champsquarebackend.core.loading.get_model",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.views.generic.DetailView",
"line_number": 12,
"u... |
23513844409 | import numpy as np
import jax
import jax.numpy as jnp
from functools import partial
from free_hamiltonian import H_free
from logpsi import log_psi
from metropolis import random_init, make_E, make_QGT, make_QGT_ED, make_loss
from sampler import Gaussian_fn
def optimize_sigma():
batch = 1000
t = 1.
U = 6.... | pengbingrui26/VMC_Gaussian | optimize_sigma.py | optimize_sigma.py | py | 1,706 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "free_hamiltonian.H_free",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "metropolis.random_init",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "logpsi.log_psi",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "optax.a... |
43339811608 | import os
from app import app
from flask import Flask, render_template, request, url_for, redirect, send_from_directory
from werkzeug.utils import secure_filename
UPLOAD_FOLDER = os.path.join(app.root_path, 'image')
ALLOWED_EXTENSIONS = set(['pdf','png','jpg','jpeg','gif'])
app.config['UPLOAD_FOLDER'] = UPLOAD_FOLDE... | mattgoorley/picupload | app/project.py | project.py | py | 1,227 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.join",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "app.app.root_path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "app.app",
"line_num... |
26167564554 | import os.path
from CropModels import *
from CropDataset import Apple_leaf_dataset, normalize_torch, normalize_05, normalize_dataset, preprocess, \
preprocess_hflip, \
preprocess_with_augmentation
import pandas as pd
import torch.nn as nn
from tensorboardX import SummaryWriter
import torch
from torch... | Jin-Xi/apple_leaf | train.py | train.py | py | 6,842 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torch.manual_seed",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "torch.cuda.amp.GradScaler",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "torch.backends",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "datet... |
13091143514 | """
Model performance.
"""
import os
import sys
import time
import resource
import argparse
import warnings
from datetime import datetime
warnings.simplefilter(action='ignore', category=UserWarning) # lgb compiler warning
import numpy as np
import pandas as pd
from sklearn.neighbors import KNeighborsClassifier
from s... | jjbrophy47/trex | scripts/experiments/performance.py | performance.py | py | 9,310 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "warnings.simplefilter",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
... |
25159965775 | import jieba
import re
#去除描述信息中无用的被告，原告，姓名和日期等信息
jieba.setLogLevel('WARN')
class normalizer:
def __init__(self, stopword_filepath):
'''
:param stopword_filepath: 停用词表路径
:return:
'''
self.raw_json_list = []
self.cut_list = []
self.data_out = None
s... | belieberly/judicial_doc_measurement | utils/lda/normalize.py | normalize.py | py | 5,936 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "jieba.setLogLevel",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 92,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 94,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 96,
"u... |
18434686019 | import dis
import os
import time
import torch
import torch.nn as nn
from torch.autograd import Variable
import sys
import fastai
from fastai.vision import *
from fastai.callbacks import *
import torch.nn.functional as F
import plot
from adversarial import run_wgan
from adversarial import run_waae
def instance_bce_with... | anon0001/adv_rec | VQA/train.py | train.py | py | 9,135 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torch.nn.functional.binary_cross_entropy_with_logits",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "torch.nn.functional",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 19,
"usage_type": "name"
},
{... |
35359966956 | import matplotlib.pyplot as plt
import os
def plot_col_graph(x, y, titulo_x, titulo_y, plot_title, size, name, representar='N'):
'''
Función que genera un gráfico de barras a partir de los parámetros de entrada
:param x: datos eje x
:param y: datos eje y
:param titulo_x: título eje x
:param t... | JaimePerez89/Bitcoin | bitcoin/PlotColumns.py | PlotColumns.py | py | 1,635 | python | es | code | 0 | github-code | 18 | [
{
"api_name": "matplotlib.pyplot.style.use",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.style",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 21,
"usage_type": "name"
},
{
"api_na... |
26279783115 | import face_recognition
import os
TEST_FACES = "test_faces"
true_positives = 0
false_positives = 0
image = face_recognition.load_image_file(f"image_0001.jpg")
realID = face_recognition.face_encodings(image)[0]
print(type(realID))
tolerance = [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1]
for value in tolerance:
... | rbangay-personal/ass4 | ass4.py | ass4.py | py | 1,141 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "face_recognition.load_image_file",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "face_recognition.face_encodings",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 15,
"usage_type": "call"
},
{
"api_na... |
22665270542 | from typing import List
from collections import defaultdict
from itertools import combinations
class Solution:
def mostVisitedPattern(self, username: List[str], timestamp: List[int], website: List[str]) -> List[str]:
all_data = [(t, u, w) for u, t, w in zip(username, timestamp, website)]
all_data.... | mohanwer/algorithms-study | leet_code/analyze_user_website.py | analyze_user_website.py | py | 1,057 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "collections.defaultdict",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "itertools.... |
24925586078 | #!/usr/bin/python
# -*- coding: UTF-8 -*-
# 添加小车反馈：如果杆往右歪，则往右走；
"""
“观测状态”有四维：
小车位置、小车速度、杆的角度和杆顶端的速度（初始状态每个值均在 ±0.05 区间内取随机值）；
“终止条件”有三条：
杆的角度大于 ±12 度，小车的位置超过 ±2.4，以及迭代次数超过 200（v1 为 500）；
每个步骤的“奖励”均为 1（包括终止步）。
"""
import gym
env = gym.make("CartPole-v0")
t_all = []
action_bef = 0 #纪律上一次action
action_threshold... | bobby4k/BobbyGym | test003.py | test003.py | py | 1,411 | python | zh | code | 0 | github-code | 18 | [
{
"api_name": "gym.make",
"line_number": 13,
"usage_type": "call"
}
] |
18707992634 | import argparse
import curse
import logging
import worker
import urllib3
from multiprocessing import cpu_count
def main():
http = urllib3.PoolManager(num_pools=512, maxsize=512, block=True)
cmd_line_parser = argparse.ArgumentParser(description="Batch downloads minecraft mods from curseforge")
cmd_line_pa... | Janrupf/curse-indexer | main.py | main.py | py | 2,003 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "urllib3.PoolManager",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "multiprocessing.cpu_count",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": ... |
1170446346 | import datetime
from utils.group import User
import random
import string
import pymongo
import pandas as pd
from src.plugins.messages import kws
from nonebot import on_command
from nonebot.typing import T_State
from nonebot.adapters.cqhttp.bot import Bot
from nonebot.adapters.cqhttp.message import MessageSegment as ms... | syhanjin/chizi_bot | src/plugins/integrated_command/__init__.py | __init__.py | py | 2,645 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "nonebot.on_command",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "nonebot.adapters.cqhttp.permission.PRIVATE",
"line_number": 24,
"usage_type": "name"
},
{
... |
31766882845 | #!/usr/bin/env python
# coding: utf-8
# # Importing Libraries
# In[1]:
import matplotlib.pyplot as plt
import cv2
import numpy as np
import math
# # Loading Image
# In[2]:
img_path = './images/Bird2.jpg'
img_path
# In[3]:
bgr_img = cv2.imread(img_path, -1)
rgb_img = cv2.cvtColor(bgr_img, cv2.COLOR_BGR2RGB)... | ShahriarRu/Image-Processing | Assignment5/Laplace and Sobel Filters.py | Laplace and Sobel Filters.py | py | 1,956 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cv2.imread",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2RGB",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "cv2.imread",
"line... |
17233789322 | from __future__ import print_function
import Tile
import numpy as np
import collections
'''
Encoding:
0: player->hand,
1: player->fixed_hand
2: player->disposed_tiles
3+2i: neighbor[i]->fixed_hand
3+2i+1: neighbor[i]->disposed_tiles
'''
def dnn_encode_state(player, neighbors):
state = np.zeros((9, 34, 1))
for tile ... | clarkwkw/mahjong-ai | MoveGenerator/utils.py | utils.py | py | 9,013 | python | en | code | 25 | github-code | 18 | [
{
"api_name": "numpy.zeros",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "Tile.convert_tile_index",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "Tile.convert_tile_index",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "Tile.conv... |
19209274135 | #!/usr/bin/env python
import octomap
import numpy as np
import scipy
import cc3d
from plot import *
from pytransform3d.plot_utils import plot_sphere, plot_box
from polytope import *
from transform import *
def cluster_indices(assignment):
indices = []
for i, j in enumerate(assignment):
while True:
... | BobbyCephy/grop | scripts/objects.py | objects.py | py | 7,142 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "octomap.OcTree",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number"... |
11798066062 | from flask import Flask, request
from flask_restful import Resource, Api
from models import Pessoas, Atividades, Usuarios
#https://flask-httpauth.readthedocs.io/en/latest/
from flask_httpauth import HTTPBasicAuth
auth = HTTPBasicAuth()
app = Flask(__name__)
api = Api(app)
# USUARIOS = {
# 'teste':'12345'
# }
#
# ... | ceconelo/api_atividade | app.py | app.py | py | 3,604 | python | pt | code | 0 | github-code | 18 | [
{
"api_name": "flask_httpauth.HTTPBasicAuth",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask_restful.Api",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "models.Usuari... |
40437376924 | import sys
import os
import argparse
import json
import cerberus_document_editor as cde
from cerberus_document_editor import yaml_parser
APP_NAME = 'Cerberus Document Editor'
DESCRIPTION='Document Editor for Cerberus Schema.'
parser = argparse.ArgumentParser(description=DESCRIPTION)
parser.add_argument('-v', '--versio... | onetop21/cerberus-document-editor | cerberus_document_editor/__main__.py | __main__.py | py | 3,294 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cerberus_document_editor.__version__",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "sys.stderr",
"line_number": 16,
"usage_type": "attribute"
},
{
... |
20665866169 | import numpy as np
from astropy.io import fits
from ...photometry import Band
# from .sensitivity import Sensitivity
from ....logger import LOGGER
#
# Written for slitlessutils by R. Ryan at STScI
#
# v1.0 Jan 2023
#
#
#
class Order:
"""
Class to contain the trace, dispersion, and sensitivity for a spectra... | duytnguyendtn/slitlessutils_private | slitlessutils/core/wfss/config_orig/order.py | order.py | py | 13,281 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.full_like",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "numpy.nan",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "numpy.sqrt",
"line_number": 121,
"usage_type": "call"
},
{
"api_name": "numpy.isscalar",
"line... |
30723655214 | from langchain.llms import OpenAI
from pdf2image import convert_from_path
import numpy as np
import cv2
import os
import pytesseract
import time
pytesseract.pytesseract.tesseract_cmd = r'C:\Program Files\Tesseract-OCR\tesseract.exe'
poppler_path = r'C:\poppler-23.01.0\Library\bin'
apiKey = "..."
os.environ["OPENAI_A... | kabhinha/EduCom | lang.py | lang.py | py | 1,443 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pytesseract.pytesseract",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "langchain.llms.OpenAI",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cv... |
14875097712 | #// IMPORTS //#
from modules.helpers import ltxt
from modules.helpers import utxt
from modules.config import gv
#// FUNCTIONS //#
# run metals function with calamity
def metals():
calamity = 0
ltxt('RNG Seed is set to: ' + str(gv['rng']))
ltxt('Metals Calamity is currently set to: ' + str(calamity))
if (gv['rn... | ckreon/py-text-colony-sim | modules/metals.py | metals.py | py | 1,392 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "modules.helpers.ltxt",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "modules.config.gv",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "modules.helpers.ltxt",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "modules.c... |
70030787559 | import html
import os
import sys
from dotenv import load_dotenv
import fetch_budget_data
import fetch_tripletex_data
from flask import Flask, Response, request, send_from_directory
from flask_cors import CORS
load_dotenv()
def require_env(name: str) -> str:
value = os.environ.get(name, None)
if value is Non... | cybernetisk/okotools | tripletexweb/backend/app/app.py | app.py | py | 2,480 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
... |
39399319475 | import sys
import argparse
import logging
import audiocontrol.audiocontrol as ac
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('-v', '--verbose',
action='store_true',
help='verbose, log to console')
parser.add_argument('-vv... | hifiberry/audiocontrol | audiocontrol/__main__.py | __main__.py | py | 866 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "logging.I... |
35008973162 | import datetime
from functools import lru_cache
from json import loads
from pathlib import Path
import subprocess
from subprocess import check_output
from colorama import Style, Fore
import settings
from common.filesystem import File
class MediaFile(File):
def __init__(self, path: Path):
super(MediaFil... | dukensk/smg | common/media.py | media.py | py | 7,106 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "common.filesystem.File",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "subprocess.check_out... |
9948362712 | import json
with open('new_dumps.txt') as f:
data = f.read()
new = eval(data)
parsed_json = json.dumps(new)
#print parsed_json
"""json_file = open('new_dumps.txt')
data = json.load(json_file)
do = data['dataObjects'][0]
print do['identifier']
print do['description']
json_file.close()"""
print(new['textOrigin... | UCSB-dataScience-ProjectGroup/youtube | oldRepo/parseJSON.py | parseJSON.py | py | 506 | python | en | code | 11 | github-code | 18 | [
{
"api_name": "json.dumps",
"line_number": 9,
"usage_type": "call"
}
] |
21119260284 | """
Given a binary tree, print it vertically. e.g.
1
/ \
2 3
/ \ / \
4 5 6 7
/ \
8 9
The output of print this tree vertically will be:
4
2
1 5 6
3 8
7
9
"""
from typing import Optional
from collections import defaultdic... | rrwt/daily-coding-challenge | gfg/hashing/print_tree_vertically.py | print_tree_vertically.py | py | 1,313 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "binary_tree_node.Node",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "binary_tree_node.Node",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "collectio... |
14043519256 | # coding: utf-8
"""Objects used to deal with symmetry operations in crystals."""
from __future__ import print_function, division, unicode_literals, absolute_import
import sys
import abc
import warnings
import collections
import six
import numpy as np
from six.moves import cStringIO
from monty.string import is_string
... | CaptainDasheng/abipy | abipy/core/symmetries.py | symmetries.py | py | 41,948 | python | en | code | null | github-code | 18 | [
{
"api_name": "numpy.around",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "numpy.allclose",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "numpy.int",
"line_number"... |
1915070454 | #!/usr/bin/env python
#-*- coding: utf-8 -*-
"""
@Project:zhifu
@author:sandu
@Email: sandu12345@msn.cn
@Software: PyCharm
@file: hooks.py
@time: 2018-09-20 0020 下午 18:31
"""
from .views import bp
from flask import session,g,render_template
from config import SESSION_FRONT_ID
from .models import FrontUser
@bp.bef... | yongnights/bbs | apps/front/hooks.py | hooks.py | py | 629 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "config.SESSION_FRONT_ID",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "flask.session",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "flask.session.get",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "config.SESSIO... |
84014523 | """
Functions to detect duplicate Samples in imputed HDF5 file
@ Author: Harald Ringbauer, 2023
"""
import numpy as np
import pandas as pd
import h5py
import itertools as it
def get_match_df(path_h5="./data/hdf5/1240k_v54.1/ch", ch=3,
iids=[], gp_cutoff=0.98):
"""Create diploid Match Rate for all... | hringbauer/ancIBD | package/ancIBD/IO/h5_duplicates.py | h5_duplicates.py | py | 2,282 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "h5py.File",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "itertools.combinations",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"l... |
71703498279 | import requests
from .config import host
from exceptions.mileage_error import MileageError
from database_abc import VehicleDB
from model.model import Vehicle
""" Connects to server and makes API calls.
Implements the same interface as the sql_database version of VehicleDB
"""
class APIVehicleDB(VehicleDB):
... | claraj/miles_solid | final/api_database/database.py | database.py | py | 1,538 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "database_abc.VehicleDB",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "requests.post",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "config.host",
"line_number": 17,
"usage_type": "argument"
},
{
"api_name": "exceptions.milea... |
15215939714 | from sklearn.feature_extraction.text import CountVectorizer
sentences = [
'I love my dog',
'I love my cat',
]
vectorizer = CountVectorizer(token_pattern=r"(?u)\b\w+\b")
X = vectorizer.fit_transform(sentences)
word_index = {v:k for k, v in enumerate(vectorizer.get_feature_names())}
print(word_... | igormorgado/nlp | sk_tokenizer.py | sk_tokenizer.py | py | 328 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sklearn.feature_extraction.text.CountVectorizer",
"line_number": 8,
"usage_type": "call"
}
] |
69926011241 | from __future__ import print_function
import dockercloud
import psycopg2
import subprocess
import os
import datetime
import time
# Parameters:
BUCKET = os.environ['S3_BUCKET']
NAMESPACE = os.environ['S3_NAMESPACE']
ACCESS_KEY = os.environ['AWS_ACCESS_KEY']
SECRET_KEY = os.environ['AWS_SECRET_KEY']
HOST = os.environ.g... | okfn/dockercloud-db-to-s3 | backup.py | backup.py | py | 3,684 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "os.environ",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"lin... |
16230537772 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from maya import cmds
from maya import mel
import os, json
import pymel.core as pm
from . import weight
from . import common
from . import qt
import maya.api.OpenMaya as om
import re
def setSoftEdge(mesh, angle=120):
# 法線のロック解除
cmds.polyNormalPerVertex(mesh + ... | ShikouYamaue/SIWeightEditor | Contents/scripts/siweighteditor/modeling.py | modeling.py | py | 11,003 | python | en | code | 92 | github-code | 18 | [
{
"api_name": "maya.cmds.polyNormalPerVertex",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "maya.cmds",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "maya.cmds.polySoftEdge",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "maya.c... |
38629774941 | import logging
from utils.pif_storage import get_pif, pif_exists, save_pif
def handle_comment(comment):
if not comment.author:
logging.debug('Comment [%s] is deleted, skipping', comment.id)
return
logging.info('Handling comment [%s] by %s on post "%s"', comment.id, comment.author.name, commen... | waab76/PIFBot | handlers/comment_handler.py | comment_handler.py | py | 1,170 | python | en | code | 5 | github-code | 18 | [
{
"api_name": "logging.debug",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.debug",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_numb... |
32373542328 | # Importar librerías necesarias
import tkinter as tk
import secrets
import string
import copy
import pyperclip
from tkinter import messagebox
def generar_contraseña(longitud):
caracteres = string.ascii_letters + string.digits + string.punctuation
contraseña = ''.join(secrets.choice(caracteres) for _ in range(l... | adriiiaa12/SafePass | __SafePass__/Code/file3.py | file3.py | py | 4,094 | python | es | code | 0 | github-code | 18 | [
{
"api_name": "string.ascii_letters",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "string.digits",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "string.punctuation",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "... |
37318292335 | from datetime import datetime
def days(num):
days_in_week = ['ראשון', 'שני', 'שלישי', 'רביעי', 'חמישי', 'שישי', 'שבת']
return days_in_week[int(num)]
def extract_current_date():
dt = datetime.now().date()
today = dt.strftime('%w')
return [today, dt]
def extract_time():
dt = datetime.now()
... | REl98/Scrape_surfing_data | General_functions.py | General_functions.py | py | 1,875 | python | he | code | 0 | github-code | 18 | [
{
"api_name": "datetime.datetime.now",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datetim... |
3273162851 | import torch
from torch import Tensor
import torch.nn as nn
import math
from typing import Optional
from bench.core.executer import Executer
class NestedTensor(object):
def __init__(self, tensors, mask: Optional[Tensor]):
self.tensors = tensors
self.mask = mask
def to(self, device):
... | DeepLink-org/DLOP-Bench | bench/samples/long_tail/position_embedding_sine/torch_impl.py | torch_impl.py | py | 3,033 | python | en | code | 38 | github-code | 18 | [
{
"api_name": "typing.Optional",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "torch.Tensor",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "torch.nn.Module",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"lin... |
28109160650 | import os; os.environ["TMPDIR"] = os.path.join(os.environ['HOME'], 'tmp')
import pwn
from ctypes import CDLL
#from struct import pack
host = "jupiter.challenges.picoctf.org"
port = 51462
target = "./vuln"
def must_guess(pr):
res = 0
while res != 1:
for num in range(1, 100):
pr.sendlineafter("W... | onealmond/hacking-lab | picoctf-2020/guessing-game1/shellcode.py | shellcode.py | py | 2,431 | python | en | code | 72 | github-code | 18 | [
{
"api_name": "os.environ",
"line_number": 1,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 1,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 1,
"usage_type": "attribute"
},
{
"api_name": "pwn.remote",
"line_number"... |
20199573589 | import json
import os
data = {}
for file in os.listdir('data'):
with open('data/{}'.format(file)) as data_file:
js = json.load(data_file)
for js_line in js:
destination = js_line["destination"]
load=js_line["loadSum"]
if destination not in data.keys():
... | marty30/MBD-trade-routes | src/main/python/mergeDestinationResults.py | mergeDestinationResults.py | py | 486 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.listdir",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 17,
"usage_type": "call"
}
] |
7567258099 | #!/usr/bin/env python
# coding: utf-8
import os
import sys
import requests
import regex
import time
import pytz
from datetime import datetime, timedelta
import pandas as pd
from multiprocessing.pool import ThreadPool
import json
import logging
from configparser import ConfigParser
from optparse import OptionParser
... | insightfinder/InsightAgent | nagios/nagios.py | nagios.py | py | 13,783 | python | en | code | 19 | github-code | 18 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "logging.F... |
72212371880 | #!/usr/bin/env python
# -*- coding: iso-8859-1 -*-
import os
import datetime as dt
import argparse
from account import Account
from entry import stringToDate
def lookFornext25 (date):
d = date
while d.day != 25:
d += dt.timedelta (days = 1)
return d
parser = argparse.ArgumentParser(description='C... | florent-lamiraux/banking | balance.py | balance.py | py | 1,016 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "datetime.timedelta",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "entry.stringToDate",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "datetim... |
36923133952 | #!/usr/bin/env python3.9
"""
Update Fields or Tags in an InfluxDB Measurement.
"""
from configparser import ConfigParser
from influxdb import InfluxDBClient
config = ConfigParser(interpolation=None)
config.read("InfluxUploader.ini", encoding="utf-8")
def connect() -> InfluxDBClient:
"""Connect to DB."""
cl... | entorb/raspi-sensorics | influx_value_update.py | influx_value_update.py | py | 1,426 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "influxdb.InfluxDBClient",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "influxdb.InfluxDBClient",
"line_number": 14,
"usage_type": "name"
}
] |
16667947741 | import datetime
import os
import sys
import logging
from io import StringIO
from getpass import getpass
from Framework import AutoApi
from Framework.auth_manager import AuthenticationManager
# import functions
from module_1 import __main__ as Func1
from module_2 import __main__ as Func2
from module_3 impor... | ImmanuelSuleimanCS/AutomationFramework | Lib/Sample_Run.py | Sample_Run.py | py | 4,405 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "logging.StreamHandler",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "logging.INF... |
6136479384 | import requests
from bs4 import BeautifulSoup
url = 'https://coinmarketcap.com/'
page = requests.get(url)
soup = BeautifulSoup(page.content, 'html.parser')
table = soup.find_all('table')[0]
print(table)
rows = table.find_all('tr')
print(len(rows))
data = []
count = 1
for row in rows[1:11]:
cols = row.find_all('td... | hims1911/coin-market-backend-django | scripts/scrapper.py | scrapper.py | py | 1,013 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 6,
"usage_type": "call"
}
] |
74240418281 | from pathlib import Path as OrigPath
path = OrigPath(__file__)
BLUR_AMOUNT = 0.6
DATA_DIRECTORY = path.parent.parent.joinpath("data")
DEFAULT_FRAMERATE = 30
DEFAULT_IMAGE_WIDTH = 600
DEFAULT_IMAGE_HEIGHT = 600
DEFAULT_TRESHOLD = 0.6
FEATHER_AMOUNT = 11
IMAGE_EXTENSIONS = (".jpg", ".png")
PREDICTOR_PATH = f"{DATA_DIREC... | hay/facetool | facetool/constants.py | constants.py | py | 427 | python | en | code | 47 | github-code | 18 | [
{
"api_name": "pathlib.Path",
"line_number": 2,
"usage_type": "call"
}
] |
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