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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
14667603119 | # Homework ID 1741
import os
from random import randint
from uuid import uuid4 as uuid
from subprocess import run, STDOUT, PIPE, Popen
import numpy as np
import re
import importlib
from io import StringIO
import sys
import types
import inspect
from termcolor import colored
from tqdm.notebook import tqdm
import runpy
f... | gitterra/terra_autocheck | baseblock/lessonone/ultraPro.py | ultraPro.py | py | 43,249 | python | ru | code | 1 | github-code | 6 | [
{
"api_name": "reset.test__AnyFunc",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "reset.test__AnyFunc",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "os.path",
"l... |
29381615330 | import tensorflow.keras
import tensorflow as tf
import time
import numpy as np
import cv2
label_name = "labels.txt"
count = 0
labels = []
with open(label_name, "r") as file:
lines = file.readlines()
for line in lines:
_, label = line.split(' ')
labels.append(label.replace('\n', ''))
print(f"There are in {label... | SierrabaseLab/AI_beginner_course | DL_course/Image_Classification/Cam_Classify.py | Cam_Classify.py | py | 937 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.keras.models.load_model",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.keras",
"line_number": 19,
"usage_type": "attribute"
},
{
... |
38736660495 | from flask import render_template, request, session
from flask import current_app
from pymongo.errors import ServerSelectionTimeoutError
from backend.dbconnector.mongo import MongoDB
from . import eda_bp
@eda_bp.route("/", methods=["GET", "POST"])
def connect():
"""
Render the index page with the database ... | GeoscienceAustralia/ginan | scripts/GinanEDA/eda/routes/dbConnection.py | dbConnection.py | py | 5,382 | python | en | code | 165 | github-code | 6 | [
{
"api_name": "flask.request.method",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "flask.session",
"line_number": 23,
"usage_type": "argument"
},
{
"api_name": "flask.sessi... |
10181748406 | from django.core import paginator
from django.shortcuts import render, redirect
from django.http import HttpResponse
from django.contrib.auth.decorators import login_required
from django.contrib import messages
from .models import Project, Tag
from .forms import ProjectForm, ReviewForm
from .utils import searchProjects... | divanov11/Django-2021 | projects/views.py | views.py | py | 2,998 | python | en | code | 474 | github-code | 6 | [
{
"api_name": "utils.searchProjects",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "utils.paginateProjects",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "m... |
8352736703 | from __future__ import absolute_import, unicode_literals
from enum import Enum
from c8 import constants
from c8.billing.billing_interface import BillingInterface
from c8.connection import TenantConnection
from c8.function.function_interface import FunctionInterface
from c8.redis.redis_commands import RedisCommands
fr... | Macrometacorp/pyC8 | c8/client.py | client.py | py | 114,388 | python | en | code | 6 | github-code | 6 | [
{
"api_name": "enum.Enum",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "enum.Enum",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "enum.Enum",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "c8.constants.STREAM_PORT",
"line_nu... |
34142196994 | import numpy as np
import scipy.constants
class Particle:
"""The position, velocity and acceleration are set to be arrays, the name of the particle is set to be a string and its mass, kinetic energy and rest mass are set to be floats"""
position = np.array([0., 0., 0.])
velocity = np.array([0., 0., 0.])
... | Lancaster-Physics-Phys389-2020/phys389-2020-project-twgrainger | Particle.py | Particle.py | py | 3,459 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.array",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 12,... |
17613494794 | #%%
# =============================================================================
# To do: Change the directory variable to the location of
# the folder "Thesis Submission_GiaPhatTram"
# For example: E:\Students\Thesis\Thesis Submission - Gia Phat Tram
# =========================================================... | giaphattram/ThesisCode | AFP Analysis Part 2 - Panel Data Regression.py | AFP Analysis Part 2 - Panel Data Regression.py | py | 21,130 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "os.chdir",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.options",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "gc.enable",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pandas.read_excel",
"line_n... |
5383127295 | #!/usr/bin/python3
from flask import Flask, request, jsonify, send_from_directory, render_template
import json
import hashlib
import datetime
import time
import psycopg2 as pg
app = Flask(__name__, template_folder='/render_templates')
def difficulty_in_range(difficulty):
return 0 <= difficulty and difficulty <=... | Tom1380/Snake | api.py | api.py | py | 4,536 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "psycopg2.connect",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",
"line_num... |
36229709730 | from typing import List
'''
剑指 Offer II 103. 最少的硬币数目 == 322
完全背包，拿就完事儿了。
'''
class Solution:
def coinChange(self, coins: List[int], amount: int) -> int:
if amount == 0:
return 0
if min(coins) > amount:
return -1
dp = [0] + [float('inf')] * amount
for i in ran... | z-w-wang/Leetcode-Problemlist | FxxkOffer/DP/Offer_2_103.py | Offer_2_103.py | py | 605 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 8,
"usage_type": "name"
}
] |
23362097373 | #!/usr/bin/python3
from ctypes import *
import struct
import os
from Crypto.PublicKey import RSA
from Crypto.Util.number import bytes_to_long, long_to_bytes
ZKNLIBRARY_NAME=os.path.join(os.path.dirname(__file__),'libzkn.so')
FLAG_ARRAY_SIZE=2048
class TooMuchData(Exception):
pass
class NotEnoughData(Exception):
... | bi-zone/CTFZone-2020-Finals-LittleKnowledge | zkn_support.py | zkn_support.py | py | 12,318 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.join",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "struct.unpack",
"line_numb... |
30468759960 | #!/usr/bin/env python
# coding: utf-8
# In[2]:
import cv2
import numpy as np
import tkinter as tk
from tkinter import filedialog
from PIL import Image, ImageTk
# Function to open and process the image
def process_image():
file_path = filedialog.askopenfilename() # Open a file dialog to choose an image
if f... | prabhat351/IMAGE-TO-PENCIL-SKETCH-APP | sketch converter.py | sketch converter.py | py | 1,309 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tkinter.filedialog.askopenfilename",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "tkinter.filedialog",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "cv2.imread",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "cv2.... |
10503625684 | import cv2
import numpy as np
from PIL import Image
def get_limits(color):
c = np.uint8([[color]])
hsvC = cv2.cvtColor(c, cv2.COLOR_BGR2HSV)
lowerLimit = hsvC[0][0][0] - 10, 100, 100
upperLimit = hsvC[0][0][0] + 10, 255, 255
lowerLimit = np.array(lowerLimit, dtype=np.uint8)
upperLimit = np.... | rizwanishaq/computer-vision-tutorial | color-detection/color_detection.py | color_detection.py | py | 1,004 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.uint8",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2HSV",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_... |
40367642472 | import pygame
import random
class Asteroid(pygame.sprite.Sprite):
def __init__(self, x, y, current_dif):
pygame.sprite.Sprite.__init__(self)
self.x = x
self.y = y
if random.randint(1, 3) == 1:
self.image = pygame.image.load('data\\bigger_asteroid.png')
self.s... | Martian2024/PyGame_Project | Asteroid.py | Asteroid.py | py | 1,091 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "pygame.sprite",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "pygame.sprite.Sprite.__init__",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pygame.sprite",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "rand... |
43633345573 |
from __future__ import absolute_import
#typing
#overrides
import torch
from torch.nn import Conv1d, Linear
from allennlp.modules.seq2vec_encoders.seq2vec_encoder import Seq2VecEncoder
from allennlp.nn import Activation
class CnnEncoder(Seq2VecEncoder):
def __init__(self,
embedding_dim ,
... | plasticityai/magnitude | pymagnitude/third_party/allennlp/modules/seq2vec_encoders/cnn_encoder.py | cnn_encoder.py | py | 3,653 | python | en | code | 1,607 | github-code | 6 | [
{
"api_name": "allennlp.modules.seq2vec_encoders.seq2vec_encoder.Seq2VecEncoder",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "allennlp.nn.Activation.by_name",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "allennlp.nn.Activation",
"line_number": 25,
... |
14443778908 | '''
Description:
Autor: Jiachen Sun
Date: 2021-04-04 15:30:04
LastEditors: Jiachen Sun
LastEditTime: 2021-04-12 19:58:10
'''
import os
import sys
import copy
import math
import numpy as np
np.random.seed(666)
import torch
torch.manual_seed(666)
torch.cuda.manual_seed_all(666)
torch.backends.cudnn.deterministic=True
t... | jiachens/c_study | model_finetune_seg.py | model_finetune_seg.py | py | 14,029 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "numpy.random.seed",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "torch.manual_seed",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.cuda.manu... |
41746149180 | import os
from typing import List
import cv2
import gym
import torch
import torch.nn as nn
from torch.distributions import Categorical
import matplotlib.pyplot as plt
action_dim = 2
input_dim = 4
num_episodes = 2000
lr = 0.01
gamma = 0.95
class PolicyNet(nn.Module):
def __init__(self, input_dim: int, action_dim... | Okabe-Rintarou-0/AI-learning | exp/RL-gym/simple-policy-based-actor/train.py | train.py | py | 4,074 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "torch.nn.Linear",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_nu... |
72128930108 | from pyglet.gl import *
window = pyglet.window.Window()
from OpenGL.GL import *
from OpenGL.GL import shaders
#=====================================
#===============================
vertn = """
#version 410
layout (location = 0) in vec2 cord;
layout (location = 1) in vec2 uv;
out vec2 uvcord;
void main()
{
g... | liltmagicbox/3dkatsu | pyglets/pyglet_11_7_texture.py | pyglet_11_7_texture.py | py | 1,842 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pyglet.gl.window.Window",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "pyglet.gl.window",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "pyglet.gl",
"line_number": 2,
"usage_type": "name"
},
{
"api_name": "OpenGL.GL.shader... |
18004104315 | from datetime import datetime
from importlib.resources import path
import os
os.environ['CUDA_LAUNCH_BLOCKING'] = '1'
import time
from matplotlib.patches import FancyArrow
from gym import spaces
from gym.spaces import Space
import numpy as np
import statistics
import copy
from collections import deque
import torch
... | PKU-EPIC/UniDexGrasp | dexgrasp_policy/dexgrasp/algorithms/rl/dagger/dagger.py | dagger.py | py | 12,949 | python | en | code | 63 | github-code | 6 | [
{
"api_name": "os.environ",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "gym.spaces.Space",
"line_number": 53,
"usage_type": "argument"
},
{
"api_name": "gym.spaces.Space",
"line_number": 55,
"usage_type": "argument"
},
{
"api_name": "gym.spaces.S... |
26625788346 | from django import template
from django.template.loader import render_to_string
from livesettings import config_value
from satchmo_ext.productratings.utils import get_product_rating_string, get_product_rating
import logging
log = logging.getLogger('shop.templatetags')
register = template.Library()
def product_rating... | dokterbob/satchmo | satchmo/apps/satchmo_ext/productratings/templatetags/satchmo_ratings.py | satchmo_ratings.py | py | 1,501 | python | en | code | 30 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.template.Library",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.templat... |
31956962151 | from cryptography.fernet import Fernet
import subprocess
import argparse
class Crypt():
def __init__(self, key=None):
self.keyName = ""
self.key = None
def activate(self, keyname):
try:
with open(keyname, 'rb') as filekey:
self.key = filekey.read()
self.keyName = keyname
ex... | https-sam/files-encrypter | main.py | main.py | py | 2,796 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "cryptography.fernet.Fernet.generate_key",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "cryptography.fernet.Fernet",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "subprocess.check_output",
"line_number": 30,
"usage_type": "call"
},... |
14489837092 | import numpy as np
import pandas as pd
import string as str
import statistics as st
def csv():
#Verify .csv files in folder
possible_csvs = ["OneAppTeacherStudent.csv"]
for i in range(1,10):
possible_csvs.append("OneAppTeacherStudent ({}).csv".format(i))
csvs = possible_csvs.copy()
for i in... | cameronfantham/EF-KPI-Data-Pre-processing | Student APP Usage Report Generator/APP.py | APP.py | py | 9,306 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pandas.unique",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "statistics.mode",
"line_number": 51,
"usage_type": "attribute"
},
{
"api_name": "statistics.mode",
... |
15306421630 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.model_selection import GridSearchCV, KFold
from sklearn.linear_model import LinearRegression
from sklearn.utils.validation import check_X_y, check_array, check_is_fitted
from sklearn.base import BaseEstimator
from sklearn.metrics impo... | pytaunay/total-pressure-cathodes-controlling-mechanisms | article/3_pressure-statistical-analysis/C_statistical-analysis/power-law_exhaustive-grid-search.py | power-law_exhaustive-grid-search.py | py | 4,456 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sklearn.base.BaseEstimator",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "sklearn.utils.validation.check_X_y",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model.LinearRegression",
"line_number": 39,
"usage_type": "c... |
37430442298 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
name: Shadows-IT selector.php 任意文件包含
referer: unknown
author: Lucifer
description: 文件selector.php中,参数idbase64解码可包含本地文件。
'''
import sys
import requests
class shadowsit_selector_lfi_BaseVerify:
def __init__(self, url):
self.url = url
def run(self):
... | iceyhexman/onlinetools | scanner/plugins/cms/shadowsit/shadowsit_selector_lfi.py | shadowsit_selector_lfi.py | py | 1,100 | python | en | code | 1,626 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 34,
"usage_type": "attribute"
}
] |
3297094103 | """
Module for config file loading/saving functionality
Author: Julian Ding
"""
import os
import configparser
# User directory name
CONFIG_DIR = 'config/engine_config/'
# Config file type
CFG_EXT = '.ini'
# Delimiters
DELIM = ' '
ARG_DELIM = '='
NAME_DELIM = '_'
# Class to encapsulate the necessary properties of ... | WatChMaL/CNN | io_utils/ioconfig.py | ioconfig.py | py | 3,594 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "os.listdir",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "os.path.splitext",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 47,
"usage_type": "attribute"
},
{
"api_name": "configparser.ConfigParser",
... |
40471530271 | import os
from PIL import Image
import torch
import torch.nn as nn
import torch.utils.data as data
import numpy as np
import cv2
class KeyPressDataset(data.Dataset):
def __init__(self, file_name, transform=None):
super(KeyPressDataset, self).__init__()
self.file_name = file_name
sel... | yxlijun/vision-piano-amt | 3rdparty/key_classification/dataset.py | dataset.py | py | 1,744 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "torch.utils.data",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "torch.utils.data",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "numpy.l... |
2781058062 | from faker import Faker
import json
from django.test import TestCase
from django.core.validators import URLValidator
from apps.short.models import Shorting
fake = Faker()
class TestShortingModel(TestCase):
def test_pre_generate(self):
cnt = 30
Shorting.pre_generate(count=cnt)
shortings_c... | kant-chen/sharpshort | apps/short/tests.py | tests.py | py | 1,239 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "faker.Faker",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.test.TestCase",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "apps.short.models.Shorting.pre_generate",
"line_number": 14,
"usage_type": "call"
},
{
"api_name"... |
8125676492 | #!/usr/bin/python3
import adafruit_dht
import board
import datetime
import os
'''Records the temperature (in C and F) and Humidity of the connected DHT
probe in today's file in the records directory.
This should be run with a cron job every 5 minutes'''
def main():
now = datetime.datetime.now()
dirname = '/home/p... | jeremyjones1017/Mirror | temp_monitor.py | temp_monitor.py | py | 1,230 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "datetime.datetime.now",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
26042195416 | import sys
from http.client import HTTPMessage
from http.server import BaseHTTPRequestHandler
from types import SimpleNamespace
import pytest
from pants.backend.url_handlers.s3.register import (
DownloadS3AuthorityPathStyleURL,
DownloadS3AuthorityVirtualHostedStyleURL,
DownloadS3SchemeURL,
)
from pants.ba... | pantsbuild/pants | src/python/pants/backend/url_handlers/s3/integration_test.py | integration_test.py | py | 7,311 | python | en | code | 2,896 | github-code | 6 | [
{
"api_name": "pants.engine.fs.FileDigest",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pants.engine.fs.Digest",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pants.testutil.rule_runner.RuleRunner",
"line_number": 29,
"usage_type": "call"
},
... |
32808761366 | import numpy as np
import pandas as pd
import os, sys
import argparse
from datetime import datetime, timedelta
DATA_PATH = os.path.join("/home/qilibj/github/nyc-tlc-trip-predition", "data")
# Get days of month in 2018
def getDaysMonth(month):
if month == 2: return 28
if month % 2 == 1: return 31
return 30... | qili93/nyc-tlc-trip-predition | DataPreprocessing.py | DataPreprocessing.py | py | 9,058 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "os.path.join",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_numb... |
6484168441 | # Quando segnale GPS buono, GPS con KF con elevata accuratezza delle osservazioni e bassa sulla F
# Quando arriva l'info su SLAM, Q alta immagazzina le buone info derivanti dal GPS, perchè prediction sulla base di ultimo GPS fatto, mentre R basso. Da verificare, potrebbe essere modo per stima del fattore di scala (CALI... | franioli/COLMAP_SLAM | lib/EKF.py | EKF.py | py | 4,770 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.array",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": ... |
35759489622 | import halcon as ha
import numpy as np
import cv2
import math
import pandas as pd
import csv
import os
os.environ["KMP_DUPLICATE_LIB_OK"]='TRUE'
import yaml
#cv读取中文路径
def cv_imread(file_path):
cv_img = cv2.imdecode(np.fromfile(file_path,dtype=np.uint8),-1)
## imdecode读取的是rgb，如果后续需要opencv处理的话，需要转换成bgr，转... | XueZhengjie/Melt-EHD | dataset/preprocess/2get_corner.py | 2get_corner.py | py | 4,688 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "os.environ",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "cv2.imdecode",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.fromfile",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_nu... |
839574728 | #!/usr/bin/env python
import argparse
def main():
parser = argparse.ArgumentParser(description='probe2fa: a program to convert probe sequences to FASTA format', prog='probe2fa', formatter_class=argparse.RawTextHelpFormatter)
parser.add_argument('-i', metavar='FILE', dest='probe_file', required=True,
... | hchyang/PSiTE | wes/util/probe2fa.py | probe2fa.py | py | 1,102 | python | en | code | 10 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "argparse.RawTextHelpFormatter",
"line_number": 6,
"usage_type": "attribute"
}
] |
6785771353 | import matplotlib.pyplot as plt
def grade_transform(grade_letter):
'''
This function transforms letter of grades into integers
'A' will be transformed to 1, B -- 2, C -- 3, D -- 4, ..., Z -- 26
'''
grade_letter = ord(grade_letter.lower()) - 96
grade_letter = int(grade_letter)
return grade_l... | ky822/assignment10 | mz948/supportfunctions.py | supportfunctions.py | py | 1,313 | python | en | code | null | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "mat... |
34237807731 | # -*- coding: utf-8 -*-
from collections import Counter
import datetime
def deco(func):
def wrapper(*args, **kwargs):
startTime = datetime.datetime.now()
func(*args, **kwargs)
endTime = datetime.datetime.now()
cost_time = endTime - startTime
msec = cost_time.total_seconds()... | MRKINKI/nlp_project | dbqa/trad/question2text.py | question2text.py | py | 2,827 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime.now",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.now",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datet... |
26029205522 | #!/usr/bin/env python3
"""
Run mqtt broker on localhost: sudo apt-get install mosquitto mosquitto-clients
Example run: python3 mqtt-all.py --broker 192.168.1.164 --topic enviro --username xxx --password xxxx
"""
# import argparse
import configparser
import ssl
import time
from runpy import run_path
import ST7735
fro... | nickmolo/enviroplus-mqtt | enviroplus-mqtt.py | enviroplus-mqtt.py | py | 9,899 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "ltr559.LTR559",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "bme280.get_temperature",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "bme280.get_pressure",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "bme280.get_h... |
16543520349 | import string
import spacy
from spacy.vocab import Vocab
from sense2vec import Sense2VecComponent
import difflib
import re
from scripts.QuestionDomain.Question import Question
from scripts.QuestionDomain.QuestionNode import QuestionNode
class QuestionProcessor:
def __init__(self):
self.nlp = spacy.load("e... | Grimmii/TrainChatBot | src/scripts/QuestionDomain/QuestionProcessor.py | QuestionProcessor.py | py | 4,241 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "spacy.load",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sense2vec.Sense2VecComponent",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "difflib.get_close_matches",
"line_number": 102,
"usage_type": "call"
},
{
"api_name": "re... |
36029433809 | from chatterbot import ChatBot
from chatterbot.trainers import ChatterBotCorpusTrainer
import yaml
from flask import Flask, render_template, request, send_file
import os
class ChatBotModel:
def __init__(self):
self.chatbot = self.create_chatbot()
self.train_chatbot()
def extract_key_from_input... | trucni2005/chatbot_project | chatbot_model.py | chatbot_model.py | py | 2,674 | python | vi | code | 0 | github-code | 6 | [
{
"api_name": "chatterbot.ChatBot",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "yaml.SafeLoader",
"line_number": 44,
"usage_type": "attribute"
},
{
"api_name": "yaml.load",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "chatterbot.trainers... |
19241119646 | import logging
import signal
import sys
import traceback
from django.db import transaction
from licensedcode.cache import build_spdx_license_expression
from packagedcode.utils import combine_expressions
from matchcode.models import ApproximateDirectoryContentIndex
from matchcode.models import ApproximateDirectoryStr... | nexB/purldb | minecode/management/commands/process_scans.py | process_scans.py | py | 10,732 | python | en | code | 23 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "logging.INFO",
... |
12747368070 | from django.db import models
from teacher.models import Teacher
from course.models import Course
from student.models import Student
# Create your models here.
class Quiz(models.Model):
teacher=models.ForeignKey(Teacher,on_delete=models.CASCADE,null=True)
title=models.CharField(max_length=200)
detail=models... | Athulya-k-k/Learning-Management-system-back-end | quiz/models.py | models.py | py | 1,653 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.db.models.Model",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "teacher.models",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.db.mo... |
514625351 | import re
import requests
import json
import urllib
import time
import timeit
import math
import sys
from datetime import datetime
from dateutil import tz
import os
osenviron={}
djj_bark_cookie=''
djj_sever_jiang=''
JD_API_HOST = 'https://daojia.jd.com/client?_jdrandom=1609034402844'
yuanck=''
cookiesList=[]
yuan... | zt6/github_wangdelu2020_python | djj/JD_Yuan.py | JD_Yuan.py | py | 11,775 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "urllib.parse.quote",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "urllib.parse",
"line_number": 57,
"usage_type": "attribute"
},
{
"api_name": "json.dumps",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "json.loads",
"lin... |
30815030211 | import os
from typing import Union, Optional, Tuple
from PyQt5.QtGui import QFont, QFontDatabase, QIcon
class ResourceManager:
"""
This class manages the resources in the gui/resources folder
"""
root = os.path.dirname(os.path.realpath(__file__))
default_resource_folder = {
"font": "font... | Wroppy/werry_math | gui/resource_manager.py | resource_manager.py | py | 2,444 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.dirname",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"lin... |
70384349629 | import cv2
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import zmq
import cmocean
from matplotlib.colors import LightSource, ListedColormap
from mpl_toolkits.axes_grid1 import make_axes_locatable
from matplotlib.widgets import Slider, Button
import scipy
import vcl.prep_data
cmap = ListedColo... | openearth/vcl | vcl/display.py | display.py | py | 12,945 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "matplotlib.colors.ListedColormap",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "matplotlib.colors.ListedColormap",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cmocean.cm.haline",
"line_number": 16,
"usage_type": "call"
},
{
... |
34105134168 | #!/usr/bin/env python
import json
import math
import os
import tarfile
import textwrap
import click
import msgpack
from . import http
from .db import DB
from .logos import fetch_logos, compress_logos
from .model import root
from .tools import info, success, title, ok, error, section, _secho, progress, match_patterns
... | etalab/geozones | geozones/__main__.py | __main__.py | py | 13,978 | python | en | code | 43 | github-code | 6 | [
{
"api_name": "os.chdir",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "model.root.traverse",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "model.root",
"line_number"... |
36670043904 | import matplotlib.pyplot as plt
import pandas as pd
import matplotlib as mpl
# Load the data from the CSV file
df = pd.read_csv('performance_metrics.csv')
# Extract the x and y values from the data
# methods = df['Method']
# x = df['Inference time']
# y1 = df['accuracy_1']
# y2 = df['accuracy_2']
configurations = df... | ThijsvdBurg/Husky_scripts | data_visualization/plot scripts/method_vs_add.py | method_vs_add.py | py | 1,504 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.cm",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "matplotlib... |
12999297394 | from pyspark.sql import SparkSession
sc = SparkSession.builder.getOrCreate().sparkContext
words = sc.parallelize (
["scala",
"java",
"hadoop",
"spark",
"akka",
"spark vs hadoop",
"pyspark",
"pyspark and spark"]
)
words_map = words.map(lambda x: (x, 1))
mapping = words_map.collect()
print (m... | rajesh782762/test-job | main.py | main.py | py | 328 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pyspark.sql.SparkSession.builder.getOrCreate",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql.SparkSession",
"line_number": 2,
"usage_type... |
30199926674 | from django.shortcuts import render,HttpResponse,redirect
from .forms import TodoForm
from django.contrib import messages
from todo.models import Todos
# Create your views here.
def index(request):
todo = Todos.objects.all().order_by('-created_date')
if request.method == 'POST':
form = TodoForm(reques... | mominarham/django_todo | todo/views.py | views.py | py | 758 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "todo.models",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "todo.models.Todos.objects.all",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "todo.models.Todos.objects",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": ... |
8143562191 | from cryptography.fernet import Fernet
from dotenv import load_dotenv
import os
load_dotenv(r'C:\Users\johannes.falnes\PycharmProjects\NoroffVC\Module5\M5L3\Spy\.env')
token = os.getenv('KEY')
key = token.encode('utf-8')
# key = b'_q0pPC5WeVCE5o8cC_oxm8WTyyvYV1YNJnKqRHjyuxA='
def decrypt(key):
fernet = Fernet(k... | JFalnes/NoroffVC | Module5/M5L3/Spy/main.py | main.py | py | 970 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cryptography.fernet.Fernet",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cryptography.fe... |
14132016095 | from sqlalchemy.ext.asyncio import AsyncSession
from fastapi import APIRouter
from fastapi import Depends, APIRouter, HTTPException
from src.database import get_session
from src.gps_tracker.manager import GpsTrackerManager
from src.gps_tracker.schema import GpsTracker, GpsTrackerCreate, GpsTrackerUpdate
router = API... | jmcastellote/whereabouts | src/gps_tracker/router.py | router.py | py | 1,128 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "src.gps_tracker.schema.GpsTrackerCreate",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.ext.asyncio.AsyncSession",
"line_number": 17,
"usage_type": "name"
... |
34375406536 | #!/usr/bin/env python3
from curses import wrapper
from functools import partial
import curses
import time
def spd_scale(y0, x0, y1, x1, x):
"""Get the speed at the given value of time.
NOTE: The output is not clamped,
regardless of the reference points given."""
# Two point form of a line
# y... | kknives/rudra-training | motor-control/control.py | control.py | py | 1,662 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "curses.noecho",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "curses.cbreak",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "curses.curs_set",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "functools.partial",
"... |
40694950974 | """empty message
Revision ID: 130d74c14470
Revises: 4f55a3c62dc6
Create Date: 2015-09-21 13:14:51.082388
"""
# revision identifiers, used by Alembic.
revision = '130d74c14470'
down_revision = '4f55a3c62dc6'
from alembic import op
import sqlalchemy as sa
def upgrade():
### commands auto generated by Alembic - ... | StasEvseev/adminbuy | migrations/versions/130d74c14470_.py | 130d74c14470_.py | py | 1,273 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "alembic.op.create_table",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integ... |
11813574917 | import unittest
import numpy as np
from sklearn.datasets import load_boston
from mlscratch.models.linear import Ridge
class TestRidge(unittest.TestCase):
def _load_data(self):
X, y = load_boston(return_X_y=True)
X, y = X[:10], y[:10]
return X, y
def test_init(self):
model =... | yutayamazaki/machine-learning-from-scratch | tests/test_ridge.py | test_ridge.py | py | 901 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "unittest.TestCase",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "sklearn.datasets.load_boston",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "mlscratch.models.linear.Ridge",
"line_number": 17,
"usage_type": "call"
},
{
"... |
15037787465 | import json, datetime
def lambda_handler(event, context):
if 'requestContext' in event:
userinfo = event["requestContext"]["http"]
print("userAgent: {}".format(userinfo["userAgent"]))
print("sourceIp: {}".format(userinfo["sourceIp"]))
if event['queryStringParameters']['requestType'] ==... | JLO64/USC_Bus_Times_API | lambda_function.py | lambda_function.py | py | 4,638 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime.now",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "datetime.timezone",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "dateti... |
29771953166 | #!/usr/bin/env python
# coding: utf-8
# # Global Heat Budget Closure
# *Contributors*: [Jan-Erik Tesdal](https://github.com/jetesdal), [Ryan Abernathey](https://github.com/rabernat) and [Ian Fenty](https://github.com/ifenty)
#
# A major part of this tutorial is based on "*A Note on Practical Evaluation of Budgets in ... | ECCO-GROUP/ECCO-v4-Python-Tutorial | Tutorials_as_Python_Files/ECCO_v4_Heat_budget_closure.py | ECCO_v4_Heat_budget_closure.py | py | 37,017 | python | en | code | 44 | github-code | 6 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "ecco_v4_py.load_ecco_grid_nc",
"line_number": 131,
"usage_type": "call"
},
{
"api_name": "ecco_v4_py.recursive_load_ecco_var_from_years_nc",
"line_number": 155,
"usage_type"... |
28898633855 | import sys
import os
import re
import html
from xml.dom.minidom import parse
if len(sys.argv) < 3:
print('Usage:', sys.argv[0], '<root_file>', '<ditaval> [<out_directory>]', file=sys.stderr)
exit(-1)
chapter_stack = []
index_stack = []
column_stack = []
for n in range(0, 100):
chapter_stack.append(0)
... | Torlus/dita-tools | dita2html.py | dita2html.py | py | 18,833 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "sys.stderr",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_... |
26541303510 | import pandas as pd
import numpy
import matplotlib.pyplot as plt
from scipy import signal
filename = "IMUData.csv"
plt.rcParams["figure.autolayout"] = True
df = pd.read_csv(filename)
print(df.columns)
Pitch = df["Pitch"]
Roll = df['Roll']
AccY = df['AccY']
AccX = df['AccX']
AccZ = df['AccZ']
GyroX = df['GyroX']
GyroY ... | vchugh-vc/IMUAnalysis | MovementAnalysis.py | MovementAnalysis.py | py | 2,313 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "pandas.read_csv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.... |
74416912829 | # (https://www.cs.uic.edu/~liub/FBS/sentiment-analysis.html),
# https://towardsdatascience.com/fine-grained-sentiment-analysis-in-python-part-1-2697bb111ed4
# https://github.com/cjhutto/vaderSentiment
import pandas as pd
import nltk
from snorkel.utils import probs_to_preds
from snorkel.labeling import PandasLFApplier... | jeannefukumaru/cs5228-project | distilbert.py | distilbert.py | py | 5,327 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "warnings.filterwarnings",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 30,
"usage_type": "call"
},
{
"api_name"... |
3639426254 | #!/usr/bin/env python3
import os
import sys
from setuptools import setup, find_packages
assert(sys.version_info > (3, 4))
def read(filename):
return open(os.path.join(os.path.dirname(__file__), filename)).read()
__version__ = None
with open(os.path.join(os.path.dirname(__file__), 'rdserial', '__init__.py')) a... | rfinnie/rdserialtool | setup.py | setup.py | py | 1,495 | python | en | code | 87 | github-code | 6 | [
{
"api_name": "sys.version_info",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
... |
35800132876 | import numpy as np
from numpy import pi
# matplotlib is library for plotting data. We will be discussing it later in detail.
import matplotlib.pyplot as plt
def sine_array(start, stop, num):
x = np.linspace(start, stop, num)
f = np.sin(x)
return x, f
if __name__ == '__main__':
a, b = sine_array(0, 3... | jetbrains-academy/Python-Libraries-NumPy | NumPy/Array Basics/Linspace/task.py | task.py | py | 420 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "numpy.linspace",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_nu... |
23795211630 | # !/usr/bin/python
import os
import hashlib
from datetime import datetime
#walks the file tree starting at the root directory
#returns a list of every file, exclusing those in the 'exclude' list
def walk():
#list of directories to exclude from hashing:
exclude = ["/dev", "/proc", "/run", "/sys", "/tmp", "/var/lib",... | danbeverly/lab5-Host-Integrity | hash.py | hash.py | py | 3,185 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.walk",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "hashlib.sha256",
"line_number":... |
41963662511 | #!/usr/bin/env python3
import sys
import json
import zmq
import gevent
PUB_URL = "ipc:///tmp/wp_pub"
SUB_URL = "ipc:///tmp/wp_sub"
class Session:
def __init__(self):
self.context = zmq.Context()
self.sub = self.context.socket(zmq.SUB)
self.sub.connect(SUB_URL)
self.sub.setsocko... | mastensg/windportal | firmware/wp_ipc.py | wp_ipc.py | py | 1,636 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "zmq.Context",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "zmq.SUB",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "zmq.SUBSCRIBE",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "zmq.Poller",
"line_nu... |
22510107176 | from typing import Any, Dict, Optional, Tuple
from pymysql.err import ProgrammingError, OperationalError
from . import connect, Schema
from .. import make_logger
log = make_logger(name=__name__, logfile="logs/app.log")
class Query:
"""
Base class for executing queries
If a given query fails at some poi... | sudotouchwoman/labs-system-c | web/app/model/query.py | query.py | py | 2,816 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pymysql.err.OperationalError",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "pymysql.err.ProgrammingError",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "pymysql.err.OperationalError",
"line_number": 59,
"usage_type": "name"
},
{... |
51673661 | """
Visual comparison of the different kernels we could be using, in particular the powerlaw kernel and geometric.
Presents the approximation errors of certain kernels choices.
"""
import numpy as np
import scipy
from corai_plot import APlot
# assuming we want to use a kernel K for HP simulations/estimations.
# now, w... | Code-Cornelius/jump_diff_bubble_II_thesis | experiments/kernels_approx.py | kernels_approx.py | py | 3,336 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.power",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.power",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.floor",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": 20... |
10976086529 | import math
import matplotlib.pyplot as plt
import numpy as np
import time
def func(x):
return x**3 - 5*x +3
def dfunc(x):
return 3*x**2 - 5
def bisection(low, high):
if (func(low) * func(high) > 0) or (high <= low):
print("Wrong Interval!")
return
for _ in range(... | LiBingbin/Computational_Physics | PythonProject/hw02/hw02_t1.py | hw02_t1.py | py | 2,961 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.arange",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 73,
"usage_type": "name"
},
{
"api_name": "matplotlib.pypl... |
25005149375 | import discord
from discord.ext import commands
from discord_slash import cog_ext
from datetime import datetime
class Inquiry(commands.Cog, name="지원"):
def __init__(self, bot):
self.bot = bot
@commands.Cog.listener()
async def on_message(self, msg):
files = []
if msg.author.bot:
... | DENE-dev/dene-dev | RQ1-data/exp2/1070-Korean-Discord-Dictionary@SxU-69455cfa1894f15289cf91e5f5d26047abe5d24e/exts/inquiry.py | inquiry.py | py | 2,157 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "discord.ChannelType",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_nam... |
17509655413 | from typing import List
from math import inf
class Solution:
def findMedianSortedArrays(self, a: List[int], b: List[int]) -> float:
def median_helper(p, r):
if p > r:
return -1
i = (p+r)//2
j = (m+n)//2 - i
if a[i-1] <= b[j] and b[j-1] <= a[i]:... | soji-omiwade/cs | dsa/before_rubrik/median_of_two_sorted_arrays_no_infs_in_for_bin_search.py | median_of_two_sorted_arrays_no_infs_in_for_bin_search.py | py | 1,640 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "math.inf",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "math.inf",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "math.inf",
"line_number": 29,
"u... |
34004525592 | from collections import deque
n,m,v = map(int,input().split())
graph = [[0]*(n+1)for _ in range(n+1)]
for i in range(1,m+1):
a,b = map(int,input().split())
graph[a][b] = 1
graph[b][a] = 1
visited_dfs = [False] * (n+1)
visited_bfs = [False] * (n+1)
answer_dfs = []
answer_bfs = []
def dfs(v):
visited... | jinman-kim/algo | 1260.py | 1260.py | py | 836 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 26,
"usage_type": "call"
}
] |
37131335817 | #!/usr/bin/env python
#_*_coding:utf-8_*_
import re, sys, os
from collections import Counter
pPath = os.path.split(os.path.realpath(__file__))[0]
sys.path.append(pPath)
import readFasta
import saveCode
import checkFasta
USAGE = """
USAGE:
python EAAC.py input.fasta <sliding_window> <output>
input.fasta: the i... | Superzchen/iFeature | codes/EAAC.py | EAAC.py | py | 2,474 | python | en | code | 152 | github-code | 6 | [
{
"api_name": "os.path.split",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line_... |
44335346851 | import xml.etree.ElementTree as ET
import json
from tkinter import Tk
from tkinter.filedialog import askopenfilename
import csv
Tk().withdraw()
filepath = askopenfilename()
print(filepath)
tree = ET.parse(filepath)
root = tree.getroot()
jsontext = root[7].text
data = json.loads(jsontext)
devices = data['deviceRespB... | matthewhilton/Tuya-Python-LocalKeys | TuyaLocalKeys.py | TuyaLocalKeys.py | py | 656 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "tkinter.Tk",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "tkinter.filedialog.askopenfilename",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree.parse",
"line_number": 11,
"usage_type": "call"
},
{
"api_name"... |
40859794177 | import json
from progress.bar import Bar
JSON_FILES = ['csdn', 'yahoo']
DICT_FILES = ['dict-10000', 'dict-50000', 'dict-100000', 'dict-200000', 'dict-500000', 'dict-1000000']
def collision_test(json_file, dict_file):
with open(f'./{json_file}.json') as f:
test_data = json.load(f)
with open(f'./dict/{dict_fi... | Cthollist9/websec_course | PCFG/test.py | test.py | py | 1,100 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "progress.bar.Bar",
"line_number": 19,
"usage_type": "call"
}
] |
35031946883 | """Pytorch Dataset object that loads perfectly balanced MNIST dataset in bag form."""
import numpy as np
import matplotlib.pyplot as plt
import torch
import torch.utils.data as data_utils
from torchvision import datasets, transforms
from PIL import Image
import numpy as np
from six.moves import cPickle as pickle
impo... | miccaiif/WENO | Datasets_loader/dataset_MIL_CIFAR.py | dataset_MIL_CIFAR.py | py | 10,471 | python | en | code | 43 | github-code | 6 | [
{
"api_name": "platform.python_version_tuple",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "six.moves.cPickle.load",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "six.moves.cPickle",
"line_number": 24,
"usage_type": "name"
},
{
"api_name":... |
38483579984 | from dot_detection import detect_face
from square_detectionKmeans import detect_squares
import cv2
from utility import show_error_window
def dotsInRange(dotCenters, xMin, xMax, yMin, yMax):
numInRange = 0
for dotCenter in dotCenters:
if xMin <= dotCenter[0] <= xMax and yMin <= dotCenter[1] <= yMax:
... | RobertWetzler/DiceVision | computeFinalImage.py | computeFinalImage.py | py | 1,843 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "square_detectionKmeans.detect_squares",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "cv2.rectangle",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "cv2.rectangle",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "cv2... |
26041638586 | from __future__ import annotations
import os.path
import re
import shutil
import textwrap
import zipfile
from pathlib import Path
import pytest
import requests
from packaging.specifiers import SpecifierSet
from packaging.version import Version
from pkg_resources import Requirement
from pants.backend.python.goals imp... | pantsbuild/pants | src/python/pants/backend/python/util_rules/pex_test.py | pex_test.py | py | 34,011 | python | en | code | 2,896 | github-code | 6 | [
{
"api_name": "pants.testutil.rule_runner.RuleRunner",
"line_number": 86,
"usage_type": "call"
},
{
"api_name": "pants.backend.python.util_rules.pex_test_utils.rules",
"line_number": 88,
"usage_type": "call"
},
{
"api_name": "pants.backend.python.util_rules.pex_test_utils",
"... |
33870065833 | import json
import math
def sortDic(d):
ans = []
for key in d.keys():
ans.append((d[key], key))
ans.sort()
ans.reverse()
return ans
def getImportantVerb():
inpath = 'count.txt'
fin = open(inpath, 'r')
count = json.loads(fin.read())
sumEventType = len(count)
mincount =... | xcjthu/EventExtraction_law | verb/sift.py | sift.py | py | 1,175 | python | en | code | 9 | github-code | 6 | [
{
"api_name": "json.loads",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "math.log",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 46,
"usage_type": "call"
}
] |
74338090428 | import os
import pickle as pkl
import time
import shutil
from PIL import Image
import torch
from torch.autograd import Variable
from scipy.spatial import procrustes
from torch_geometric.data import Data
from torch_geometric.data import Batch
import numpy as np
from data import *
from models import *
from train import... | jiayouwyhit/deepdrawing | test.py | test.py | py | 11,971 | python | en | code | 32 | github-code | 6 | [
{
"api_name": "PIL.Image.open",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "PIL.Image.new",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number":... |
39476655285 | from py2neo import Graph,Node
import json
# graph = Graph(
# host="127.0.0.1", # neo4j 搭载服务器的ip地址，ifconfig可获取到
# http_port=7474, # neo4j 服务器监听的端口号
# user="neo4j", # 数据库user name，如果没有更改过，应该是neo4j
# password="123")
# graph = Graph(
# host="154.8.214... | zhang8929/zhangyuguang | zhangyuan/db/import_data/import_kswys_1.py | import_kswys_1.py | py | 4,703 | python | zh | code | 0 | github-code | 6 | [
{
"api_name": "json.loads",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "py2neo.Node",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "py2neo.Node",
"line_number": 77,
"usage_type": "call"
}
] |
27023636610 | import logging
import os
import time
import numpy as np
import numpy.ma as ma
from tqdm import tqdm
import cv2
from PIL import Image
import torch
import torch.nn as nn
import torch.distributed as dist
from torch.nn import functional as F
import pandas as pd
from Tools.lib.utils.utils import AverageMeter
from Tools.li... | hardworking-jws/insulator-detection-remote-sensing | Tools/lib/core/function.py | function.py | py | 13,193 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "numpy.array",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "pandas.Series",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "numpy.log",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "numpy.log",
"line_number": 63... |
23161073613 | from sklearn import tree
from sklearn.svm import SVC
from sklearn.neighbors import KNeighborsClassifier
# Decision Tree
clf_tree = tree.DecisionTreeClassifier()
# Support Vector Machine
clf_svm = SVC()
# KNN Classifier
clf_knn = KNeighborsClassifier(n_neighbors=3)
# [height, weight, shoe_size]
X = [[181, 80, 44], ... | marcosmcb/machine-learning-youtube-siraj | learn-python-for-datascience/introduction/introduction.py | introduction.py | py | 1,026 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "sklearn.tree.DecisionTreeClassifier",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sklearn.tree",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "sklearn.svm.SVC",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sklear... |
19243476086 | from __future__ import absolute_import
from __future__ import unicode_literals
from bs4 import BeautifulSoup
from packageurl import PackageURL
from minecode import seed
from minecode import visit_router
from minecode.visitors import HttpJsonVisitor
from minecode.visitors import HttpVisitor
from minecode.visitors imp... | nexB/purldb | minecode/visitors/haxe.py | haxe.py | py | 3,162 | python | en | code | 23 | github-code | 6 | [
{
"api_name": "minecode.seed.Seeder",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "minecode.seed",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "minecode.visitors.HttpVisitor",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": ... |
27138020719 | import logging
import os
import json
import youtube_dl
from urlextract import URLExtract
import re
from mutagen.easyid3 import EasyID3
import subprocess
from humanfriendly import format_timespan
from pytube import YouTube, Stream
import time
from telegram import (Update,
ReplyKeyboardMarkup, Reply... | Ahmed18117/YT-Downloder-Bot | main.py | main.py | py | 13,135 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.basicConfig",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "telegram.Upda... |
70058701949 | import csv
import json
import urllib.parse
import boto3
from botocore.exceptions import ClientError
SENDER = "EMnify Event Notifications <b.smith@emnify.com>"
RECIPIENT = "brian.smith@emnify.com"
AWS_REGION = "eu-west-1"
email_client = boto3.client('ses',region_name=AWS_REGION)
def compose_template(description, end... | bsmth/SNS-Notification-Examples | SNStoSES/SNStoSES.py | SNStoSES.py | py | 2,329 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "boto3.client",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "botocore.exceptions.ClientError",
"line_number": 57,
"usage_type": "name"
},
{
"api_name": "json.loads",
"line_number": 65,
"usage_type": "call"
}
] |
12134561926 | from django.urls import path
from .import views
urlpatterns =[
path('jobs/',views.getAllJobs,name='jobs'),
path('jobs/new/',views.newJob,name='newJob'),
path('jobs/<int:pk>/',views.getJob,name='job'),
path('jobs/<int:pk>/update/',views.updataJob,name='updataJob'),
path('jobs/<int:pk>/delete/',views... | baadhira/Jobbee-Job-Portal | backend/job/urls.py | urls.py | py | 826 | python | en | code | 0 | github-code | 6 | [
{
"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",
... |
35105609840 | import gtk
import cairo
from pycha.bar import HorizontalBarChart
class Graph(gtk.DrawingArea):
def __init__(self):
gtk.DrawingArea.__init__(self)
self.connect("expose-event", self.expose)
self.connect("size-allocate", self.size_allocate)
self._surface = None
self._options = ... | a926kujfkuyf/fgs | epoptes/ui/graph.py | graph.py | py | 1,279 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "gtk.DrawingArea",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "gtk.DrawingArea.__init__",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "gtk.DrawingArea",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "pycha... |
27826259981 | from django.contrib.auth.forms import UserCreationForm
from django.forms import ModelForm
from myauth.models import MyUser
class MyUserCreateForm(UserCreationForm):
class Meta:
model = MyUser
fields = ('username', 'email', 'password1', 'password2')
def __init__(self, *args, **kwargs):
... | MikhailParkin/MikhailParkin | homework_09/blog/myauth/forms.py | forms.py | py | 1,013 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.contrib.auth.forms.UserCreationForm",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "myauth.models.MyUser",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.forms.ModelForm",
"line_number": 20,
"usage_type": "name"
},
{
... |
37481579125 | '''
The purpose of this chapter is:
1. Structuring the data and defining relationships.
2. Generating a SQLite3 database (if it doesn't exist already) and writing classes that will define our data in code.
3. Learning about and using the ORM.
In the context of Django, every table in the database is a class and... | hsnavihS/Django-Notes | Django's Core Features/3. Programming Django Models and Creating a SQLite Databse/main.py | main.py | py | 17,979 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.db.models.Model",
"line_number": 72,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 72,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 73,
"usage_type": "call"
},
{
"api_name"... |
17953615657 | # -*- coding: utf-8 -*-
import torch
from lichee import config
from lichee import plugin
from lichee.module.torch.layer.classifier import ClassifierBasic
from lichee.task.torch.task_base import BaseTask
class BaseSimpleClassification(BaseTask):
"""Base class of simple classification.
Attributes
--------... | Tencent/Lichee | lichee/task/torch/simple_classification.py | simple_classification.py | py | 5,903 | python | en | code | 295 | github-code | 6 | [
{
"api_name": "lichee.task.torch.task_base.BaseTask",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "lichee.config.get_cfg",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "lichee.config",
"line_number": 30,
"usage_type": "name"
},
{
"api_name... |
2654851221 | import PIL
import Utils
class Layer(object):
def __init__(self, id, _width=0, _height=0, _octave_count=0, _frequency=0, _persistence=0, _seed=0, _threshold=0, _z=0, color = (0,0,0,0), color_weight = 1):
self.id = id
self.width = _width
self.height = _height
self.octave_count = _... | sbobovyc/DCS | DCS/src/utils/Layer.py | Layer.py | py | 1,032 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "Utils.draw_blobs",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "PIL.Image.new",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "Utils.draw_pixels",
... |
35390050332 | import numpy as np
import matplotlib
matplotlib.use('AGG') #
import matplotlib.pyplot as plt
if __name__ == '__main__':
#
method = 'A-GEM'
dataset = 'MNIST'
hidden_l4 = np.load('/home/wangshuai/project/RACL/softmaxVis/{}_{}_runid_0_hidden_trainres.npy'.format(method, dataset))
labels_l4 = np.load... | wangshauitj/MDMT-R | vis_results.py | vis_results.py | py | 2,245 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "matplotlib.use",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.set_cmap",
... |
15835633441 | import datetime
import time
from bs4 import BeautifulSoup
from flask import request, jsonify, render_template, flash
from selenium.webdriver import Chrome, Keys
from selenium.webdriver.common.by import By
from config import app, db
from utils import (
get_date,
get_hour_row,
check_connection_for_driver,
... | BohdanLazaryshyn/rdn_test_task | app.py | app.py | py | 3,870 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "utils.get_date",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "flas... |
36159651328 | import requests
from bs4 import BeautifulSoup as soup
from fractions import Fraction
filename = "data.txt"
f = open(filename,"w", encoding='utf-8')
my_url = 'https://www.tasteofhome.com/course/page/'
for i in range(1, 1662):
url = my_url + str(i)
response = requests.get(url)
html = response.content
p... | MargaritaKartaviciute/FeedTheCrowdWithAngular | script.py | script.py | py | 3,498 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"... |
9988582076 | import psutil, os, json, asyncio, logging
from .. import shared
logger = logging.getLogger('VIM_main')
class System:
def are_processes_running(required_processes=["VALORANT-Win64-Shipping.exe", "RiotClientServices.exe"]):
processes = []
for proc in psutil.process_iter():
processes.ap... | colinhartigan/valorant-inventory-manager | server/src/sys_utilities/system.py | system.py | py | 1,857 | python | en | code | 150 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "psutil.process_iter",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "psutil.subprocess.Popen",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "psutil.s... |
70046337787 | from functools import wraps
__version__ = '0.1'
import inspect
class MutexInitMeta(type):
ATTR_NAME_SUBINIT_MARK = '_issubinit'
ATTR_NAME_ARGS = '_args'
ATTR_NAME_ARG_MAP = '_arg_method_dict'
def __new__(mcs, name, bases, namespace):
# Initialise the class
klass = super(MutexInitMet... | bagrat/mutexinit | mutexinit/__init__.py | __init__.py | py | 2,385 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "inspect.getargspec",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "functools.wraps",
"line_number": 68,
"usage_type": "call"
}
] |
30332059535 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
@author = 'wyx'
@time = 16/9/15 17:44
@annotation = ''
"""
import os
import re
from base import util, logger, config
from peewee import IntegrityError
from pic.db import redis_conn as redis, db
from pic.models import Manga, Page
from pyquery import PyQuery as pq
cla... | 631068264/learn_crawler | scrap/pic/app.py | app.py | py | 4,863 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "base.logger.get",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "base.logger",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "base.logger.get",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "base.logger",
"line_n... |
18932721860 | from tkinter import *
from typing import List
from random import randint, sample, randrange
from colorsys import hsv_to_rgb
W = 1000
H = 300
root = Tk()
c = Canvas(root, width=W, height=H, bg="black")
c2 = Canvas(root, width=W, height=H, bg="black")
c.pack()
c2.pack()
# minimum v <a, b>
def minimumpos(l: List[int], ... | Plasmoxy/MaturitaInformatika2019 | python/strukturovane_typy/bubble_retard_sort_visual.py | bubble_retard_sort_visual.py | py | 2,199 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "colorsys.hsv_to_rgb",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "random.randrange",
"l... |
42418888585 | from cffi import FFI
from pathlib import Path
import sys
import os
def compile_bfbridge():
# API mode out-of-line
# https://cffi.readthedocs.io/en/latest/overview.html#purely-for-performance-api-level-out-of-line
ffibuilder = FFI()
# get this directory
try:
cwd = Path(__file__).parent
... | camicroscope/BFBridge | python/compile_bfbridge.py | compile_bfbridge.py | py | 3,704 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "cffi.FFI",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 2... |
30164561306 | # %% Load birthday data
import pandas as pd
import numpy as np
import sys
sys.path.append("../")
from tools.rolling import rolling_fn
df = pd.read_csv("https://calmcode.io/datasets/birthdays.csv")
# %% Create a subset with only data from CA, parse date properly
subset_df = (
df[["state", "date", "births"]]
.... | cmougan/Novartis2021 | eda/rolling_means.py | rolling_means.py | py | 3,215 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",
"... |
2170995542 | import sqlite3
# テスト用の郵便番号
code = '4600022'
# データベースに接続する
conn = sqlite3.connect('zip.sqlite')
# 郵便番号を検索する
cur = conn.cursor()
res = cur.execute('SELECT * FROM zip WHERE code = ?', [code])
for row in res:
print(row)
| YamaK777/Study | python/study/section02/post_num/zip-test.py | zip-test.py | py | 292 | python | ja | code | 0 | github-code | 6 | [
{
"api_name": "sqlite3.connect",
"line_number": 7,
"usage_type": "call"
}
] |
11317259164 | # coding=utf-8
# Copyright 2018 The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http... | nlp-uoregon/trankit | trankit/adapter_transformers/benchmark/benchmark.py | benchmark.py | py | 6,254 | python | en | code | 693 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "benchmark_utils.Benchmark",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "benchmark_args.PyTorchBenchmarkArguments",
"line_number": 40,
"usage_type": "name"
},
{
... |
40390206305 | import re
from datetime import datetime, timedelta
import requests
from airflow import DAG
from airflow.operators.dummy_operator import DummyOperator
from airflow.operators.python_operator import PythonOperator
#=================== dag config =====================
default_args = {
'owner': 'muller'
}
dag = DAG... | TreeKat71/30DaysOfAirflow | day05_python_oper/py_oper.py | py_oper.py | py | 1,293 | python | en | code | 11 | github-code | 6 | [
{
"api_name": "airflow.DAG",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_num... |
26523872310 | from typing import List
import bisect
import matplotlib.pyplot as plt
import pandas as pd
class TextLenAnalyser():
def __init__(self, texts: List[str] = None, lens = None):
"""
:param texts: 文本数组
:param sep_arr:
:param sep_count: 从0 到 max_len 等分sep_count 份
"""
self... | Holly-Liu/Bert_medical_qa | text_len.py | text_len.py | py | 1,666 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "bisect.bisect_right",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.title",
... |
7365848285 | import discord
from discord.ext import commands
import random
import dice.roll as roll
import sys
# Token to change for bot
token = '1YOUR2BOT3TOKEN5HERE4'
description = "A more advanced dice rolling bot."
bot = commands.Bot(command_prefix='$', description=description)
@bot.event
async def on_ready():
print('L... | RowenStipe/Discord-D20Bot | diceroll.py | diceroll.py | py | 3,848 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "discord.ext.commands.Bot",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "random.choice",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "random.ch... |
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