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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2863726451 | import matplotlib.pyplot as plt
import csv
# 1. 读取数据；数据数组
data = []
headers = ['工作年限' ,'学历','职位','薪水','城市','发布时间']
city = set()
with open('jobs.csv', 'r', encoding='utf-8') as fd:
reader = csv.DictReader(fd, fieldnames=headers) # 返回的是迭代器
next(reader) # 把头略过
for row in reader:
data.append(row['城市... | XiaJune/A-small | d16_plot_linalg/demo_hist.py | demo_hist.py | py | 944 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "csv.DictReader",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "matplotlib.p... |
2360933175 | # -*- coding: utf-8 -*-
"""
DIAGNOSTICS OF THE CARDIOVASCULAR SYSTEM BASED ON NEURAL NETWORKS
Classify ECG-Signals to CAD-Symptoms by means of artificial neural networks
Skript containing function to plot results.
"""
import os
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
from matplotlib im... | Judweep/ECG_Classifier | Source_code/Plotting_Functions.py | Plotting_Functions.py | py | 5,669 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "numpy.linspace",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "matplotli... |
13925791934 | import numpy as np
import cv2 as cv
import scipy.io
from PIL import Image
import time
import os
import errno
import random
from sklearn.model_selection import train_test_split
import shutil
import cv2
###############################################################################
#####################################... | haynec/yolov5_4_channel | fuse_and_reorg_dataset.py | fuse_and_reorg_dataset.py | py | 4,190 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.join",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number"... |
17894590970 | import collections
import time
from typing import Any, Dict
from absl import logging
import numpy as np
import robustness_metrics as rm
from sklearn.metrics import accuracy_score
from sklearn.metrics import auc
from sklearn.metrics import log_loss
from sklearn.metrics import precision_recall_curve
from sklearn.metrics... | google/uncertainty-baselines | baselines/diabetic_retinopathy_detection/utils/eval_utils.py | eval_utils.py | py | 52,854 | python | en | code | 1,305 | github-code | 36 | [
{
"api_name": "tensorflow.zeros",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "tensorflow.zeros",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "tensorflow.zeros",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "tensorflow.TensorA... |
7182787702 | #!/usr/bin/env python
# encoding: utf-8
#
# facke-guider.py
#
# Created by José Sánchez-Gallego on 29 Mar 2017.
from __future__ import division
from __future__ import print_function
from __future__ import absolute_import
import opscore
from opscore.protocols.parser import CommandParser
from opscore.utility.qstr impo... | albireox/lcoHacks | python/lcoHacks/fake-guider.py | fake-guider.py | py | 12,732 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.expandvars",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 49,
"usage_type": "attribute"
},
{
"api_name": "opscore.protocols.parser.CommandParser",
"line_number": 51,
"usage_type": "call"
},
{
"api_name":... |
14412924035 | import util.settings as settings
import time
import sys, getopt
from util.logging import *
from colorama import init
import supermarkets.runner as srunner
def main(argv):
init()
# Parsing of arguments
try:
#opts, args = getopt.getopt(argv,"hi:o:",["ifile=","ofile="])
opts, args = getopt.getopt(argv,"hve",["hel... | tonsmets/SupermarketScraper | supermarketscraper/main.py | main.py | py | 1,164 | python | en | code | 21 | github-code | 36 | [
{
"api_name": "colorama.init",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "getopt.getopt",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "getopt.GetoptError",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"li... |
12404712601 | from vegetation_index import psri_index
from osgeo import gdal
import numpy as np
import zipfile
import os
# adjust with band data filename
target_band = ["B04_10m.jp2", "B08_10m.jp2"]
print(target_band)
zip_folder_path = "./data/2020"
files = os.listdir(zip_folder_path)
# make folder if not exits
output_folder = f... | primagiant/auto-mapping-and-predicting-crops-production | utils/index/psri_calc.py | psri_calc.py | py | 2,539 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.listdir",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number... |
16055989419 | import discord
from discord.ext import commands
from core.classes import Cog_Extension
import json, asyncio, datetime, sqlite3, shutil, os, time
class Task(Cog_Extension):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.time_task_counters = 0
self.bg_tas... | healthyvitamin/discord_bot | discord_bot/cmds/background_task.py | background_task.py | py | 3,875 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "core.classes.Cog_Extension",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "json.load",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "datetime.da... |
32268751295 | #!/usr/bin/env python
import sys
import os
import shutil
#os.environ['OPENBLAS_NUM_THREADS'] = '1'
import argparse
import subprocess
import requests
import stat
import json
import pathlib
import zipfile
import pysam
import pandas as pd
import numpy as np
from collections import Counter
from functools import reduce
fr... | BimberLab/nimble | nimble/__main__.py | __main__.py | py | 13,434 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "nimble.utils.low_complexity_filter_amount",
"line_number": 50,
"usage_type": "argument"
},
{
"api_name": "json.dump",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "... |
28662940889 | import logging
from ..models.formularios.form_accion_sort import Form_Accion_Sorteable
from ..models.formularios.form_campo import Form_Campo
from ..models.formularios.form_campo_sort import Form_Campo_Sorteable
from ..models.formularios.form_elemento import Form_Elemento
from ..models.formularios.form_filtro_param_so... | juanceweb/mayan_local | mayan/apps/unq/functions/functions_formularios.py | functions_formularios.py | py | 8,973 | python | es | code | 0 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "models.formularios.form_formularios.Form_Formulario.objects.get",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "models.formularios.form_formularios.Form_Formulario.objects",
... |
8574496857 | from djoser.views import UserViewSet
from rest_framework.pagination import LimitOffsetPagination
from rest_framework.permissions import IsAuthenticated
class DjoserUserViewSet(UserViewSet):
pagination_class = LimitOffsetPagination
permission_classes = [IsAuthenticated]
def me(self, request, *args, **kwar... | ticpragma/foodgram-project-react | foodgram/users/views.py | views.py | py | 452 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "djoser.views.UserViewSet",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "rest_framework.pagination.LimitOffsetPagination",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "rest_framework.permissions.IsAuthenticated",
"line_number": 8,
"us... |
39660373641 | from collections import Counter
class Solution:
def permuteUnique(self, nums: List[int]) -> List[List[int]]:
if len(nums) == 1:
return [nums]
counter = Counter(nums)
result = []
def backtracking(perm):
if len(perm) == len(nums):
resul... | deusi/practice | 47-permutations-ii/47-permutations-ii.py | 47-permutations-ii.py | py | 686 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "collections.Counter",
"line_number": 8,
"usage_type": "call"
}
] |
27162959135 | import gym
import numpy as np
import matplotlib.pyplot as plt
NUM_RUNS = 50
MAX_EPISODE_STEPS = 5000
NUM_EPISODES = 100
NUM_ACTIONS = 3
env = gym.make('MountainCar-v0').env
env._max_episode_steps = MAX_EPISODE_STEPS
POLYNOMIAL_FEATURES = True
POLYNOMIAL_DEGREE = 2
'''
https://github.com/openai/gym/wiki/MountainC... | MaximilianSamsinger/Advanced-Machine-Learning | Assignment 3/Mountain_Car.py | Mountain_Car.py | py | 4,287 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "gym.make",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "numpy.append",
"line_number": 56... |
72311227944 | import os
import shutil
import subprocess
import traceback
from typing import Any, List
from src.manager.launcher.launcher_interface import ILauncher, LauncherException
class LauncherRos(ILauncher):
"""
Launcher for ROS/Gazebo
It's configuration should follow this spec:
{
"type": "module",
... | JdeRobot/RoboticsApplicationManager | manager/manager/launcher/launcher_ros.py | launcher_ros.py | py | 2,764 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "src.manager.launcher.launcher_interface.ILauncher",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 35,
"usage_type": "name"
},
{
"api_nam... |
27365994887 | import codecs
import json
import uuid
import re
from scrapy.utils.markup import remove_tags
from scrapy.utils.serialize import ScrapyJSONEncoder
from typing import Union
from scrapper.crowler.data.object import Variant, Step
class JsonWithEncodingPipeline(object):
def __init__(self):
self.... | Paleontolog/summarizer_service | crowler/pipelines/pipel.py | pipel.py | py | 1,896 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "codecs.open",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "uuid.uuid4",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "typing.Union",
"line_number": 2... |
20422284442 | # -*- coding: utf-8 -*-
"""
Created on Wed Jun 5 00:48:35 2019
@author: Vamshi Krishna
"""
import matplotlib.pyplot as plt
emp_names=['vamshi','preethi','santhosh','deexita']
emp_salary=[80000,75000,60000,80000]
plt.pie(emp_salary,labels=emp_names,radius=2,autopct='%0.0f%%',shadow=True,explode=[0.2,0,0,0])... | RevanthR/AI_Assignments | Assignment4piegraph.py | Assignment4piegraph.py | py | 334 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "matplotlib.pyplot.pie",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.show",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplo... |
6290474507 | # Extract Adobe Analytics data strings from Adobe Assurance (Project Griffon) logs
# 24 Oct 2022 11:18
# Michael Powe
# reminder of what we are looking for
# (json_data['events'][3]['payload']['ACPExtensionEventData']['hitUrl'])
import json
import urllib.parse
from argparse import ArgumentParser
from pprint import ppr... | nyambol/adobe-assurance-json | json-parser.py | json-parser.py | py | 4,571 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "urllib.parse.parse.unquote",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "urllib.p... |
4221751433 | #!/usr/bin/env python3
"""
Extensive database of location and timezone data for nearly every airport and landing strip in the world.
"""
from __future__ import annotations
import csv
from pathlib import Path
from typing import Dict, Literal, TypedDict
__project_name__ = __package__
# Release numbering follows the r... | legoironman1234/IATAGuesser | IATAGuesser/airportsdata/__init__.py | __init__.py | py | 3,193 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "typing.TypedDict",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "typing.Literal",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "typing.Dict",
"line_... |
21411610014 | from __future__ import absolute_import, division
import scipy.ndimage as ndimage
from matplotlib import widgets
import glob
import datetime
import scipy.interpolate as interpolate
import numpy as np
import matplotlib.pyplot as plt
__all__ = ['Slit']
#===================================================================... | CyclingNinja/sunkit-sst | sunkitsst/visualisation/slit.py | slit.py | py | 5,853 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.zeros",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "scipy.interpolate.splprep",
"line_number": 86,
"usage_type": "call"
},
{
"api_name": "scipy.interpolate",
"line_number": 86,
"usage_type": "name"
},
{
"api_name": "numpy.linspac... |
34140146726 | from __future__ import print_function, division
import we
import json
import numpy as np
import sys
if sys.version_info[0] < 3:
import io
open = io.open
"""
Hard-debias embedding
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
Tolga Bolukbasi, Kai-Wei Chang, James Zou, Venkates... | JasmineZhangxyz/nlp-optimization-objective | bolukbais2016 + bias metrics/debias.py | debias.py | py | 2,466 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.version_info",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "io.open",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "we.doPCA",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "we.drop",
"line_number"... |
3576654470 |
from sklearn.metrics import accuracy_score
from sklearn.metrics import f1_score
from sklearn.metrics import roc_auc_score
from sklearn.metrics import average_precision_score
from sklearn.metrics import recall_score
# accuracy_scores: return the correctly classified samples. The set of labels predicted for a sample mus... | ClarissaW/Predict-tags-on-StackOverflow | evaluation.py | evaluation.py | py | 1,960 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sklearn.metrics.accuracy_score",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.f1_score",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.recall_score",
"line_number": 27,
"usage_type": "call"
},
{
... |
7207753656 | # geospatial help functions
import geopandas as gpd
import matplotlib.pyplot as plt
def show_overlaps(data_temp, id_col):
# checks and plots which areas overlap
overlaps = []
for index, row in data_temp.iterrows():
data_temp1 = data_temp.loc[data_temp[id_col] != row[id_col]] # grab all ro... | PeterFriedrich/bridge_the_gap | helper_functions.py | helper_functions.py | py | 1,286 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "geopandas.overlay",
"line_number": 30,
"usage_type": "call"
}
] |
74311600743 | import numpy as np
import glob
import os
from blimpy import Waterfall
import blimpy as bl
import gc
import time
import matplotlib
import matplotlib.pyplot as plt
start=time.time()
def get_elapsed_time(start=0):
end = time.time() - start
time_label = 'seconds'
if end > 3600:
end = end/3600
... | Tusay/589_ML | get_images.py | get_images.py | py | 4,546 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "time.time",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.log10",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.imshow",
"line_... |
41715969518 | import torch
import torch.nn as nn
from torch.autograd import Variable
import torch.nn.functional as F
def hidden_init(layer):
fan_in = layer.weight.data.size()[0]
lim = 1. / np.sqrt(fan_in)
return (-lim, lim)
class Actor(nn.Module):
"""Initialize parameters and build model.
Args:
... | zachterrell57/stock-trading | DDPG Example Implementation/network.py | network.py | py | 2,616 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torch.nn.Module",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "torch.manual_seed",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "torch.nn.Linear",
... |
70291499304 | import webapp2
import random
def rand_fortune():
fortunes = ["To avoid criticism, do nothing, say nothing, be nothing", "Error 404: Fortune not found", "Optimist believe we live in the best of worlds and pessimists fear this is true.", "Of all our human resources, the most precious is the desire to improve"]
i... | freddyworldpeace/fortune-cookie | main.py | main.py | py | 1,023 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "random.randint",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "webapp2.RequestHandler",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "random.randint",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "webapp2.WSGI... |
2168304898 | import wave
import numpy as np
import scipy
from scipy.io.wavfile import read
from scipy.signal import hann
from scipy.fftpack import rfft
import matplotlib.pyplot as plt
def plotFreqSpec(filename,graphpath=None):
# read audio samples
framerate,data = read(filename)
file = wave.open(filename, 'rb')
n... | Mheeh/Audio | spectrum.py | spectrum.py | py | 1,348 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "scipy.io.wavfile.read",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "wave.open",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.float",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "numpy.mean",
"li... |
42360805462 | from django.shortcuts import render, redirect, reverse
# Create your views here.
from django.views.decorators.http import require_GET
from django.contrib.auth.decorators import login_required
from goods.models import Goods
from . import models
@require_GET
@login_required
def add(req, count, goods_id):
goods = ... | hwzHw/python37 | dayWeb/myshopping/shopcart/views.py | views.py | py | 1,215 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "goods.models",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "goods.models.Goods.objects.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "goods.models.Goods.objects",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_n... |
70005734826 | from PyQt5.QtCore import QObject, pyqtSignal, pyqtSlot
class TInteractObj(QObject):
SigReceivedMessFromJS = pyqtSignal(dict)
SigSendMessageToJS = pyqtSignal(str)
def __init__(self, parent = None):
super().__init__(parent)
@pyqtSlot(str,result=str)
def JSSendMessage(self, strPara... | cjt24703/pyqt5- | TInteractObject.py | TInteractObject.py | py | 631 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "PyQt5.QtCore.QObject",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.pyqtSignal",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtCore.pyqtSignal",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "PyQ... |
15599967327 | from django.shortcuts import render
from inicio.models import Paciente
from django.views.generic.list import ListView
from django.views.generic.edit import CreateView, UpdateView, DeleteView
from django.contrib.auth.mixins import LoginRequiredMixin
from django.urls import reverse_lazy
def mi_vista(request):
return... | MatrixUHzp/web-doctor | inicio/views.py | views.py | py | 1,189 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.shortcuts.render",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.views.generic.list.ListView",
"line_number": 14,
"usage_type": "name"
},
{
... |
74050675304 | from copy import deepcopy
from typing import Optional, List
from types import MethodType
from collections import defaultdict
from nltk.tokenize import sent_tokenize
from nltk.corpus import stopwords
import random
import spacy
import torch
from parlai.core.agents import create_agent, create_agent_from_shared
from parla... | facebookresearch/ParlAI | projects/k2r/stacked_agent/task/agents.py | agents.py | py | 28,080 | python | en | code | 10,365 | github-code | 36 | [
{
"api_name": "nltk.corpus.stopwords.words",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwords",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "parlai.core.opt.Opt.load",
"line_number": 35,
"usage_type": "call"
},
{
"api_na... |
73484234343 | import time
import nlp_pre_processing
nlp = nlp_pre_processing.NLPPreprocessor()
# Multiprocessing
from multiprocessing import Pool
start_time = time.time()
num_partitions = 20
num_cores = 15
print(f'Partition Number: {num_partitions} - Number of Cores: {num_cores}...')
def main_process_pipeline(df, func):
df_... | fclesio/learning-space | Python/multiprocessing_function.py | multiprocessing_function.py | py | 932 | python | en | code | 10 | github-code | 36 | [
{
"api_name": "nlp_pre_processing.NLPPreprocessor",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Pool",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "time.... |
20752748311 | import requests
import googletrans
from pycatapi import Client
def load_random_cat():
c = Client()
cat_url = c.get_cat()
return cat_url
def load_random_joke():
url = "https://official-joke-api.appspot.com/random_joke"
response = requests.get(url).json()
joke = f'- {response["setup"]}\n- {re... | zarex1111/WEB_Project | base_config.py | base_config.py | py | 697 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pycatapi.Client",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "googletrans.Translator",
"line_number": 21,
"usage_type": "call"
}
] |
69886479786 | import os
import unittest
import ansible
from ansiblelint import Runner, RulesCollection
from pkg_resources import parse_version
class TestTaskIncludes(unittest.TestCase):
def setUp(self):
rulesdir = os.path.join('lib', 'ansiblelint', 'rules')
self.rules = RulesCollection.create_from_directory(r... | dholdaway/Best-Practices_And_Examples | Ansible/test/TestTaskIncludes.py | TestTaskIncludes.py | py | 1,901 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "unittest.TestCase",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "ansiblelint.RulesColl... |
36122181612 | import os, sys
import argparse
libpath = os.path.join(os.path.dirname(__file__), '../')
sys.path.append(libpath)
import src
from src.compiler.gen_relay_ir import gen_relay_ir
from src.compiler.visualize import visualize
from src.compiler.compiler import Compiler
from src.compiler.utils import dump_params
def fronten... | LianjunW/QuantizationTools | examples/test_complier.py | test_complier.py | py | 3,582 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.join",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line_nu... |
17436666953 | import functools
import torch.nn as nn
import os
import sys
import time
import random
import argparse
import torch
__all__ = ['ResNet', 'resnet18', 'resnet34', 'resnet50', 'resnet101',
'resnet152']
def conv3x3(in_planes, out_planes, stride=1):
"""3x3 convolution with padding"""
return nn.Conv2d(i... | xmed-lab/EPL_SemiDG | network/resnet.py | resnet.py | py | 9,203 | python | en | code | 33 | github-code | 36 | [
{
"api_name": "torch.nn.Conv2d",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "torch.nn.Module",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_nu... |
289073657 | import pathlib
#path to the desktop
desktop = pathlib.Path("/home/symon_kipkemei")
#create a new folder folder
new_path = pathlib.Path("/home/symon_kipkemei/screenshots")
new_path.mkdir(exist_ok=True)
# list items in desktop
for filepath in desktop.iterdir():
#filter screenshots only
if filepath.suffix == "... | symonkipkemei/cnd-labs | python-101/labs/13_modules-and-automation.py | 13_modules-and-automation.py | py | 501 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pathlib.Path",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 8,
"usage_type": "call"
}
] |
21332967957 | from sostrades_core.execution_engine.sos_wrapp import SoSWrapp
from climateeconomics.core.core_land_use.land_use_v1 import LandUseV1
from sostrades_core.tools.post_processing.charts.chart_filter import ChartFilter
from sostrades_core.tools.post_processing.charts.two_axes_instanciated_chart import InstanciatedSeries,\
... | os-climate/witness-core | climateeconomics/sos_wrapping/sos_wrapping_land_use/land_use/land_use_v1_disc.py | land_use_v1_disc.py | py | 15,085 | python | en | code | 7 | github-code | 36 | [
{
"api_name": "sostrades_core.execution_engine.sos_wrapp.SoSWrapp",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "climateeconomics.core.core_land_use.land_use_v1.LandUseV1.LAND_DEMAND_DF",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "climateeconomics... |
19412985681 | from django.conf.urls.defaults import *
# Uncomment the next two lines to enable the admin:
from django.contrib import admin
admin.autodiscover()
name = "This time"
urlpatterns = patterns('articles.views',
# home page
url(r'^$', 'collections', kwargs={"template_name": "home.html"}),
# inserting collections
... | jlong29/AY250 | Homework7/bibtex/urls.py | urls.py | py | 746 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.contrib.admin.autodiscover",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 22,
"usage_type": "attribute"
},
{
... |
462199369 | # the dupe bot needs a lot of special logic so it can't really use the same code as the other bots sadly
import discord
import logging
import time
import asyncio
from enum import Enum
from selenium import webdriver
from selenium.common.exceptions import NoSuchElementException
from selenium.webdriver.common.keys import ... | Sadtrxsh/Mathboi | dupe.py | dupe.py | py | 14,259 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "asyncio.Event",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "asyncio.Lock",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "selenium.... |
18617730217 | # python 3.6
# author: qcw
from requests import get, exceptions
import re
class SentiveFile(object):
"""
从可能泄露的敏感文件中发现子域名，如crossdomain.xml、robots.txt等等
"""
def __init__(self, url):
"""
:param url: 外部输入的url
:param domians:返回主程序的结果
"""
self.url = url
sel... | b1ackc4t/getdomain | module/active/SensitiveFile.py | SensitiveFile.py | py | 2,248 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "requests.exceptions.RequestException",
"line_number": 47,
"usage_type": "attribute"
},
{
"api_name": "req... |
73082338983 | import numpy as np
from sklearn import metrics
from sklearn.metrics import roc_curve
from sklearn.metrics import roc_auc_score
import matplotlib.pyplot as plt
def calculate_AUC(model_results):
'''
:param model_results: model_results=[TP, FP, TN, FN, pred, pred_prob, test_data, test_flag]
:return: auc
'... | lauraqing/test_metric_evaluation_s3 | calculate_AUC.py | calculate_AUC.py | py | 1,292 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sklearn.metrics.roc_curve",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.auc",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics",
"line_number": 31,
"usage_type": "name"
}
] |
6117512730 | from __future__ import annotations
import logging
import math
import pickle
import lpips
import omegaconf
import pytorch3d
import pytorch3d.io
import torch
from pytorch3d import transforms
from pytorch3d.ops.points_alignment import SimilarityTransform
from pytorch3d.renderer.cameras import CamerasBase
from pytorch3d.... | shubham-goel/ds | src/eval/evaluate_base.py | evaluate_base.py | py | 11,007 | python | en | code | 68 | github-code | 36 | [
{
"api_name": "utils.mesh.RTs_to_transform",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "pytorch3d.ops.points_alignment.SimilarityTransform",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "utils.mesh.RTs_to_transform",
"line_number": 34,
"usage_ty... |
22353244515 | import hashlib
from pyspark.sql.functions import udf
from pyspark.sql.types import StringType
def _hash_list(*list_to_hash):
list_to_hash = [str(element) for element in list_to_hash]
str_concatted = "".join(list_to_hash)
sha1 = hashlib.sha1()
sha1.update(str_concatted.encode("utf8"))
return sha1.... | mlrun/mlrun | mlrun/datastore/spark_udf.py | spark_udf.py | py | 929 | python | en | code | 1,129 | github-code | 36 | [
{
"api_name": "hashlib.sha1",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.functions.udf",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.types.StringType",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "p... |
70152353705 | import numpy as np
from PIL import Image
IMAGE_SIZE = 1000
if __name__ == '__main__':
# Два изображения одинаковой яркости, но полностью разного цвета
img_1_1_data = np.zeros((IMAGE_SIZE, IMAGE_SIZE, 3), dtype=np.uint8)
img_1_1_data[..., 0] = 255
img_1_1 = Image.fromarray(img_1_1_data)
img_1_1.sav... | borgishmorg/abchihba_back_end | image_generator.py | image_generator.py | py | 3,272 | python | ru | code | 0 | github-code | 36 | [
{
"api_name": "numpy.zeros",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image.fromarray",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_... |
31065215705 |
from ..utils import Object
class UpdateNewPreCheckoutQuery(Object):
"""
A new incoming pre-checkout query; for bots only. Contains full information about a checkout
Attributes:
ID (:obj:`str`): ``UpdateNewPreCheckoutQuery``
Args:
id (:obj:`int`):
Unique query identifie... | iTeam-co/pytglib | pytglib/api/types/update_new_pre_checkout_query.py | update_new_pre_checkout_query.py | py | 2,045 | python | en | code | 20 | github-code | 36 | [
{
"api_name": "utils.Object",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "utils.Object.read",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "utils.Object",
"line_number": 55,
"usage_type": "name"
}
] |
18854609090 | import cv2 # import the OpenCV module
import numpy as np # import the numpy module using the name 'np'.
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
#HOMEWORK 2
# Utility functions
def show_wait(original, transformed, filename):
double = np.hstack((original,transformed)) #stac... | matitaweb/mumet2017_computer_vision_homework | HOMEWORK_03/bounding_box.py | bounding_box.py | py | 983 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "matplotlib.use",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "numpy.hstack",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.imwrite",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "cv2.rectangle",
"line_numb... |
22508968712 | import socket
from flask import Flask
from redis import Redis
app = Flask(__name__)
redis = Redis(host='redis', port=6379)
hostname = socket.gethostname()
@app.route('/')
def hello():
redis.incr('hits')
return 'This is %s! There have been %s total hits.' % (
hostname,
redis.get('hits'),
... | GoodWriteHQ/datacenter-demo | service/app.py | app.py | py | 393 | python | en | code | 8 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "redis.Redis",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "socket.gethostname",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "redis.incr",
"line_number... |
27578227980 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
import time,configparser
try:
from tkinter import *
except ImportError: # Python 2.x
PythonVersion = 2
from Tkinter import *
from tkFont import Font
from ttk import *
# Usage:showinfo/warning/error,askquestion/okcancel/yesno/retrycancel
from tkM... | ilaer/mteam_checkin | ui.py | ui.py | py | 6,048 | python | en | code | 20 | github-code | 36 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "time.strftime",
"line_number": 128,
"usage_type": "call"
},
{
"api_name": "time.localtime",
"line_number": 128,
"usage_type": "call"
},
{
"api_name": "time.time",
... |
33904308892 | import os
import argparse
# from icecream import ic
from misc_functions import read_name_funct
# from misc_functions import *
####################################################
def find_movie_files(movie_folders, iniID, finID, movie_path, imov_min=1, imov_max=9):
exist_movies = {}
rt_infofiles = False
#... | MartinAlvarezSergio/ramses2hdf5_movies | combine_movies_functions.py | combine_movies_functions.py | py | 4,453 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.isdir",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "misc_functions.read_name_funct"... |
36337524182 | import pygame
from pygame.sprite import Sprite
class Fish(Sprite):
def __init__(self, oa_game):
super().__init__()
self.screen = oa_game.screen
self.settings = oa_game.settings
self.image = pygame.image.load('gameproject_final/images/fish.png')
self.image = pygame.transfor... | sortzis/CIT228 | gameproject_final/fish.py | fish.py | py | 826 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pygame.sprite.Sprite",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "pygame.image.load",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "pygame.transf... |
9766145404 | """
This script is used to compute neural network embeddings.
"""
import torch
import numpy as np
import sklearn
import pickle
import os
import json
import argparse
from pathlib import Path
from tqdm import tqdm
import librosa
from utils import extract_spectrogram
from models import AudioEncoder
de... | andrebola/contrastive-mir-learning | encode.py | encode.py | py | 3,368 | python | en | code | 13 | github-code | 36 | [
{
"api_name": "torch.load",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "torch.device",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "torch.no_grad",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "utils.extract_spectrogram",
... |
42591855037 | from pyrailbaron.map.datamodel import Coordinate
from pyrailbaron.map.states import download_zip, extract_kml, simplify_coords
from typing import List
from pathlib import Path
from math import log, atan, cos, pi, tan, sqrt
FALSE_EASTING = 6200000
FALSE_NORTHING = 3000000
CENTRAL_MERIDIAN = -91.866667 * (pi/180)
STD_P... | bmboucher/rail_baron | python/src/pyrailbaron/map/canada.py | canada.py | py | 2,330 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "math.pi",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "math.pi",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "math.pi",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "math.pi",
"line_number": 13,
"usage_t... |
17633338331 | # script part2c
# Sammy, Nikolai, Aron
# integral nummer (1), time_to_destination
import numpy as np
import roadster
import matplotlib.pyplot as plt
route_dist, route_speed = roadster.load_route('speed_elsa.npz')
delintervall = 25
l = [2**i for i in range(0,delintervall)]
trapets_list = []
for num in ... | Nikkobrajj/roadster | script_part2c.py | script_part2c.py | py | 1,019 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "roadster.load_route",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "roadster.time_to_destination",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "matplotli... |
71765839143 | import matplotlib.pyplot as plt
import random
def roll_dice(number_of_dice: int, sides: int = 6) -> int:
"""Simulates dice throws."""
result = 0
for _ in range(number_of_dice):
result += random.randint(1, sides)
return result
def simulate_die_throws(number_of_rolls: int, amount_of_dice: int, ... | Joey-JJ/dice_simulations | dice_simulation.py | dice_simulation.py | py | 1,664 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "random.randint",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.bar",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "matplotlib.pypl... |
25412118768 | from typing import Iterable, Tuple
from ..shared.more_itertools import flat_map, count
from ..shared.solver import Solver
"""[summary]
2 thoughts on performance:
1. This *enumerates* paths, which isn't necessary.
All we need to do is count them, so just increment
a number when you get to 16,16, and... | bathcat/pyOiler | src/pyoiler/problems/euler015.py | euler015.py | py | 2,357 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "typing.Tuple",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "typing.Iterable",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "typing.Iterable",
"line_number": 54,
"usage_type": "name"
},
{
"api_name": "shared.more_itertools.fl... |
17353771853 | # Cam definition
from collections import namedtuple
_Cam = namedtuple("_Cam", field_names = ["xpos", "ypos", "steps", "offset", "signal_name", "horizontal", "reverse_direction", "bump_height", "follower"])
class Cam(_Cam):
def __new__(_cls, xpos, ypos, steps, offset, signal_name, horizontal=False, reverse_direct... | jmacarthur/box2d-ssem | cams.py | cams.py | py | 3,563 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "collections.namedtuple",
"line_number": 5,
"usage_type": "call"
}
] |
72555949543 | """django_sandbox URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.9/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')
Cl... | tedlano/django-sandbox | django_sandbox/urls.py | urls.py | py | 1,394 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "django.conf.urls.url",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.include",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "dj... |
69933322346 | #!/usr/bin/python
import cv2, time, argparse
from ptpython.repl import embed
parser = argparse.ArgumentParser(description='OpenCV Face Recognition')
parser.add_argument('-interactive', action='store_true', help='Open a console terminal for evaluation')
parser.add_argument('input', help='Input video file to pro... | jaysridhar/learn-opencv | face-detection/face-detect.py | face-detect.py | py | 1,773 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "mediapipe.solutions... |
7044110193 | import imgaug as ia
import argparse
import imgaug.augmenters as iaa
from shapely.geometry import Polygon
from cvat import CvatDataset
import shapely
import numpy as np
from urllib.request import urlopen
from matplotlib import pyplot as plt
import matplotlib.image as mpimg
from PIL import Image, ImageDraw
import random
... | cds-mipt/cds-dtld-utils | data_augmentation.py | data_augmentation.py | py | 6,262 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "PIL.Image.fromarray",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "cvat.CvatDataset",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "PIL.Image.new",
"l... |
72673665383 | import numpy as np
from itertools import combinations
from TransitionToClosedView import *
def quick_check_zero_det(matrix: np.ndarray):
zero_line = True
for i in range(matrix.shape[1]):
for j in range(matrix.shape[0]):
if matrix.item(i, j) != 0:
zero_line = False
... | Hembos/optimization-method | Transport task/EnumerationMethod.py | EnumerationMethod.py | py | 7,249 | python | ru | code | 0 | github-code | 36 | [
{
"api_name": "numpy.ndarray",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "numpy.matrix",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "itertools.combinations",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "numpy.linalg.de... |
27051867513 | from django.urls import path, include
from django.utils.translation import gettext_lazy as _
from .views import *
app_name = 'buildings'
urlpatterns = [
path('', BuildingListView.as_view(), name = 'building_list'),
path(_('add/'), BuildingCreateView.as_view(), name = 'building_create'),
path(_('<slug>/'),... | andywar65/buildings | urls.py | urls.py | py | 3,877 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.utils.translation.gettext_lazy",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "... |
74100918822 | # Authors: Chao Li, Handing Wang, Jun Zhang, Wen Yao, Tingsong Jiang
# Xidian University, China
# Defense Innovation Institute, Chinese Academy of Military Science, China
# EMAIL: lichaoedu@126.com, hdwang@xidian.edu.cn
# DATE: February 2022
# ------------------------------------------... | HandingWangXDGroup/AGSM-DE | LSS_DE.py | LSS_DE.py | py | 6,576 | python | en | code | 9 | github-code | 36 | [
{
"api_name": "torch.device",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "VGG16_Model.vgg"... |
847509581 | #Python Image Library (PIL)
#Installation:
#Open terminal
#pip install pillow
from PIL import Image
#Open an image
mem_img = Image.open('d:/images/kids.jpg')
#fetch its attributes
#print(mem_img.size) # size of the image as a (w,h) tuple
#print(mem_img.format) #format: JPEG, PNG, ...
#print(mem_img.mode) #Color mod... | dheeraj120501/Lets-Code | 02-Languages/Python/11-PIL/handson_pil_1.py | handson_pil_1.py | py | 1,087 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "PIL.Image.open",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 10,
"usage_type": "name"
}
] |
21911933808 | #!/usr/bin/env python3
import re
import os
from os.path import join, isfile
import sys
import argparse
import requests
ENCLAVE_ENDPOINT = ""
class S3FileReader(object):
"""
Reads P3A measurements (as they are stored in the S3 bucket) from disk and
replays them to our live Nitro enclave. This object mus... | brave-experiments/p3a-shuffler | scripts/replay-p3a-data.py | replay-p3a-data.py | py | 2,065 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "os.path.join",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_numbe... |
32220783153 | from itertools import chain
def matches_gen(data):
yield {
'team-slug' : data['event']['homeTeam']['slug'],
'eventid': data['event']['id'],
}
yield {
'team-slug' : data['event']['awayTeam']['slug'],
'eventid': data['event']['id'],
}
def goals_gen(data):
team_dict... | repositoriolegal/JokerDoMilhao | Sofa/analysis/filters.py | filters.py | py | 803 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "itertools.chain.from_iterable",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "itertools.chain",
"line_number": 32,
"usage_type": "name"
}
] |
40243498393 | from api.serializers import RecipeSmallSerializer
from rest_framework import serializers
from users.models import Subscription, User
class UserShowSerializer(serializers.ModelSerializer):
"""Serializer to output user/user list."""
email = serializers.EmailField(required=True)
username = serializers.CharF... | nastyatonkova/foodgram-project-react | backend/users/serializers.py | serializers.py | py | 5,079 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "rest_framework.serializers.EmailField",
"line_number": 9,
"usage... |
26117861949 | from datetime import datetime, timezone
from unittest import TestCase
from zoneinfo import ZoneInfo
from app import chasecenter, ical
from app.tests.test_chasecenter import EXAMPLE_RAW_EVENT
EXAMPLE_EVENT = chasecenter.initialize_chase_event(EXAMPLE_RAW_EVENT)
class TestGenerateCalendar(TestCase):
def test_gen... | albertyw/chase-center-calendar | app/tests/test_ical.py | test_ical.py | py | 1,388 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "app.chasecenter.initialize_chase_event",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "app.tests.test_chasecenter.EXAMPLE_RAW_EVENT",
"line_number": 9,
"usage_type": "argument"
},
{
"api_name": "app.chasecenter",
"line_number": 9,
"usage_type": "... |
74035927782 | from __future__ import print_function, division
import torch
from torchvision import datasets, transforms
import os
import math
data_transforms = {
'train': transforms.Compose([
transforms.RandomCrop(32, padding=4),
transforms.RandomHorizontalFlip(),
transforms.ToTensor(),
transfor... | xuchaoxi/pytorch-classification | data_provider.py | data_provider.py | py | 1,588 | python | en | code | 24 | github-code | 36 | [
{
"api_name": "torchvision.transforms.Compose",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "torchvision.transforms.RandomCrop",
"line_number": 10,
"usage_type": "call"
},
{
... |
13087308271 | import sql_connection as sq
import logging
def is_new_recipe(cursor, title):
"""
This function checks if the recipe title already exists in the database or not. If the recipe title does not
exist yet in the database, function returns True. If the title already exists in the database, or this an error,
... | DarShabi/Web-Scraping-allrecipes | dump_data.py | dump_data.py | py | 7,380 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.error",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "logging.error",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "logging.error",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "logging.error",
"line_n... |
2223003364 | import collections
def longest_nonrep(s):
# len longest substr with nonrepeating characters
if s == "": return 0
d = {}
l = 0
last = 0
# use last i window to be the substring
for i in range(len(s)):
if d.get(s[i], -1) != -1: # if repeating character
last = max(last, d[s[... | arrws/leetcode | array/repeat_chars_substr.py | repeat_chars_substr.py | py | 1,530 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "collections.defaultdict",
"line_number": 36,
"usage_type": "call"
}
] |
15108076525 | # -*- coding: utf-8 -*-
__author__ = 'lily'
import sys
import unittest
import time, datetime
from TestCase.webCase.case_web_all import ParametrizedTestCase,SearchTest,HomeTest,UserinfoTest
from common import report
from common import util
import xlsxwriter
from common import readYaml
import os
sys.path.append("..")
P... | hi-noikiy/apiTest | testRunner/webRunner.py | webRunner.py | py | 2,977 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.path.append",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_num... |
3747122457 | # Standard Library
import logging
import subprocess
logging.basicConfig(level=logging.INFO)
def create_namespace_if_not_exists(namespace_name: str) -> bool:
"""
Create a namespace if not exists
:param namespace_name:
name of the namespace you want to create
:return: bool
Returns t... | abnamro/repository-scanner | deployment/resc-helm-wizard/src/resc_helm_wizard/kubernetes_utilities.py | kubernetes_utilities.py | py | 1,223 | python | en | code | 137 | github-code | 36 | [
{
"api_name": "logging.basicConfig",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "subprocess.run",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "subprocess.run",
... |
11440299116 | # _*_ coding:utf-8 _*_
"""
主界面逻辑函数
"""
import os
import exifread
import requests
from PyQt5.QtCore import QSize, Qt
from PyQt5.QtGui import QPixmap
from PyQt5.QtWidgets import QWidget, QFileDialog
from ui.main_window import Ui_Form
class MainWindow(Ui_Form, QWidget):
def __init__(self):
super(MainWi... | a-ltj/pyqt_image | view/main.py | main.py | py | 4,659 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "ui.main_window.Ui_Form",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QFileDialog.getExistingDirectory",
"line_number": 34,
"usage_type": "call"... |
72748557223 | from asyncio.windows_events import NULL
from cmath import nan
from itertools import count
import os
from pathlib import Path
from importlib.resources import path
from tokenize import String
from weakref import ref
import pandas as pd
import numpy as np
import datetime
# cols_to_be_replaced = ['Kund: Namn', 'Kund: C/o... | Farazzaidi22/TeodorProject | Main/Source Code/script.py | script.py | py | 13,948 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.read_excel",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "importlib.resources.path",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "pathlib.Path"... |
22525078962 | from . import user
from ..models.user import User, Contact
from flask import render_template, flash, redirect, request, url_for
from flask_login import login_required, current_user
from ..forms.profile import PhotoForm, EditProfileForm
from ..forms.activity import ContactForm
import os
from ..extentions import a... | Honglin-Li/TravelPlatform | app/user/view_profile.py | view_profile.py | py | 7,125 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "forms.profile.PhotoForm",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "flask_login.current_user.avatar",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "flask_login.current_user",
"line_number": 26,
"usage_type": "name"
},
{
... |
17864613680 | import traceback
import copy
from compare_reports import Comparison
import sources
import warnings
import asyncio
import inspect
import arrow
import ast
import sys
import time
import pandas as pd
from pprint import pprint
from string import ascii_lowercase
import gspread
import gspread_formatting
from oauth2client.ser... | CodeBlackwell/Incomparable | DataValidation/sources/semaphore_methods.py | semaphore_methods.py | py | 26,468 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "gspread.utils",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "oauth2client.service_account.ServiceAccountCredentials.from_json_keyfile_name",
"line_number": 42,... |
1749907675 | # -*- coding: utf-8 -*-
from __future__ import (absolute_import, print_function,
unicode_literals, division)
from itertools import chain
from namedlist import namedtuple, NO_DEFAULT
from six import iteritems, iterkeys
from .api import kv_format_pairs
def _validate_filters(fields, filters):
... | eisensheng/kaviar | kaviar/functools.py | functools.py | py | 1,432 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "six.iterkeys",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "namedlist.NO_DEFAULT",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "namedlist.namedtuple",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "itertools.chai... |
4185172909 | from django.db import models
from django.utils import timezone
class Post(models.Model):
author = models.ForeignKey('auth.User')
title = models.CharField(max_length=200)
text = models.TextField()
created_date = models.DateTimeField(default=timezone.now)
published_date = models.DateTimeField(blank=... | jetbrains-academy/pycharm-courses | DjangoTutorial_v3.5/lesson1/task1/blog/models.py | models.py | py | 476 | python | en | code | 232 | github-code | 36 | [
{
"api_name": "django.db.models.Model",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.db.models.ForeignKey",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": ... |
73335955623 | from unittest import TestCase
from adsws.api.discoverer import affinity
from flask.ext.restful import Resource
import flask
from flask_restful import Resource, Api
import mock
class SetCookieView(Resource):
"""
Returns a good HTTP answer with a coockie set in the headers
"""
storage = None
@affinit... | adsabs/adsws | adsws/tests/test_affinity.py | test_affinity.py | py | 2,266 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "flask_restful.Resource",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "adsws.api.discoverer.affinity.affinity_decorator",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "adsws.api.discoverer.affinity",
"line_number": 13,
"usage_type": "... |
938525732 | from torch.utils.data import DataLoader
import logging
import formatter as form
from dataset import dataset_list
logger = logging.getLogger(__name__)
collate_fn = {}
formatter = {}
def init_formatter(config, task_list, *args, **params):
for task in task_list:
formatter[task] = form.init_formatter(confi... | china-ai-law-challenge/CAIL2020 | sfks/baseline/reader/reader.py | reader.py | py | 3,478 | python | en | code | 150 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "formatter.init_formatter",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "dataset.dataset_list",
"line_number": 45,
"usage_type": "name"
},
{
"api_name": "datase... |
17013150761 | # -*- coding: UTF-8 -*-
from __future__ import absolute_import, division, print_function
import os
os.environ['KMP_DUPLICATE_LIB_OK'] = 'True'
os.environ["CUDA_VISIBLE_DEVICES"] = "-1" # 这一行注释掉就是使用cpu，不注释就是使用gpu
import pathlib
import numpy as np
import pandas as pd
import seaborn as sns
import tensorflow as tf
fr... | jiali1025/SMOTE-REG | code/nano_dl_keras_smote.py | nano_dl_keras_smote.py | py | 6,754 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.environ",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numb... |
70718371624 | import os
import sys
import cv2
import subprocess
from tkinter import Tk, Frame, Button, Label, Entry
from tkinter import filedialog, colorchooser
from math import sqrt
from mosaic import MosaicGenerator
class Window(Frame):
"""
The tkinter window and logic
"""
def __init__(self, parent):
""... | LFruth/MosaicGenerator | MosaicGenerator.py | MosaicGenerator.py | py | 7,563 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "tkinter.Frame",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "tkinter.Label",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "tkinter.Entry",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "tkinter.Button",
"line_... |
37021411015 | import torch
import torch.nn as nn
import torch.nn.functional as F
import torch_scatter as scatter
from modules.utils import MergeLayer_output, Feat_Process_Layer
from modules.embedding_module import get_embedding_module
from modules.time_encoding import TimeEncode
from model.gsn import Graph_sampling_network
from mode... | EdisonLeeeee/STEP | src/model/tgat.py | tgat.py | py | 5,947 | python | en | code | 6 | github-code | 36 | [
{
"api_name": "torch.nn",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "modules.time_encoding.TimeEncode",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "modules.embedding_module.get_embedding_module",
"line_number": 29,
"usage_type": "call"
... |
7946726176 | import torch.nn as nn
import torch
class BasicBlock(nn.Module): # 18-layers、34-layers
exception = 1
def __init__(self, in_channels, out_channles, stride=1, downsample=None, **kwargs):
super(BasicBlock, self).__init__()
self.conv1 = nn.Co... | yedupeng/Artificial_Model | ResNext/ResNext_Model.py | ResNext_Model.py | py | 5,475 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torch.nn.Module",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numbe... |
73894836904 | # -*- coding: utf-8
"""
File containing ConfigObject.
"""
from __future__ import division, print_function, unicode_literals
### Logging ###
import logging
_logger = logging.getLogger("ConfigUtils")
###############
import os
import sys
from ast import literal_eval
try:
import configparser
except ImportError:
... | thnguyn2/ECE_527_MP | mp4/SD_card/partition1/usr/share/pyshared/Onboard/ConfigUtils.py | ConfigUtils.py | py | 20,458 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "gi.repository.Gio.Settings.list_schemas",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "gi.repository.Gio.Settings",
"line_number": 56,
"usage_type": "attribute"
},
... |
9016676437 | #!/usr/bin/env python3
import sys, datetime, threading, time, shutil, hashlib
from Key import Key
from Display import Display
from Simulation import Simulation
class Main:
def __init__(self):
self.cuteloading = None
self.asynckey = None
try:
sys.stdout.write(Display.screen(True... | Mieschendahl/MAPF | MAPF.py | MAPF.py | py | 2,019 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.stdout.write",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "Display.Display.screen",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "Display.Displ... |
43162890839 | # ResNet:提出了层间残差跳连,引入了前方信息,缓解梯度消失,使神经网络增加层数成为可能。
# 单纯堆叠神经网络层数,会使神经网络模型退化,以至于后面的特征丢失了前面特征的原本模样
# 用一根跳连线将前面的特征直接接到后边,使输出结果包含了堆叠卷积的非线性输出和跳过两层堆叠卷积直接连接过来的恒等映射x,
# 让它们对应的元素相加,有效缓解了神经网络模型堆叠导致的退化,使得神经网络可以向着更深层级发展。
# ResNet中的“+” 与InceptionNet中的“+” 不同的。
# Inception中的“+”是沿深度方向叠加,相当于千层蛋糕增加层数
# ResNet块中的“+”是两路特征图对应元素相... | Demonya/tensorflow_basic | P5/P5.15：ResNet.py | P5.15：ResNet.py | py | 6,041 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "tensorflow.keras",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.keras.models.Model",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "tensorflow.keras.layers.Conv2D",
"line_number": 31,
"usage_type": "call"
},
{
... |
8384706762 | """Functions for application
"""
import collections
import base64
import skbio
import pandas as pd
from io import StringIO
def parse_sequences(seq_lines, consensus_sequence):
msa = skbio.alignment.TabularMSA.read(seq_lines,
constructor=skbio.sequence.DNA)
seqs, name... | johnchase/dash-alignment-viewer | webapp/util.py | util.py | py | 3,587 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "skbio.alignment.TabularMSA.read",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "skbio.alignment",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "skbio.sequence",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name... |
12833767605 | from functools import reduce
with open("input.txt", "r") as f:
inputs = f.read().splitlines()
def accScore(acc, inputs):
return acc + [
ord(a) - ord('A') + 27 if ord(a) < ord('a') else ord(a) - ord('a') + 1
for a in inputs[0] if all(a in line for line in inputs[1:])
][0]
score1 = reduce(a... | efoncubierta/advent-of-code | 2022/day03/main.py | main.py | py | 570 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "functools.reduce",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "functools.reduce",
"line_number": 15,
"usage_type": "call"
}
] |
6504272930 | import sys
from io import StringIO
text_input1 = """4 6"""
text_input2 = """3 2"""
sys.stdin = StringIO(text_input1)
# sys.stdin = StringIO(text_input2)
r, c = [int(x) for x in input().split()]
matrix = []
for n in range(r):
current_row = []
for m in range(c):
current_sequence = chr(97 + n) + chr(... | gyurel/Python-Advanced-Course | exercises_multidimensional_lists/matrix_of_palindromes.py | matrix_of_palindromes.py | py | 479 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.stdin",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "io.StringIO",
"line_number": 8,
"usage_type": "call"
}
] |
15339693534 | from functools import partial
def parse(s: str, ind: int = 0):
return_index = ind != 0
result = []
ind += 1 # First character is "["
while s[ind] != "]":
if s[ind] == ",":
ind += 1
elif s[ind] == "[":
sub_result, ind = parse(s, ind)
result.append(su... | martinsbruveris/advent-of-code | aoc/aoc_2022/day_13.py | day_13.py | py | 1,783 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "functools.partial",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "functools.partial",
"line_number": 59,
"usage_type": "call"
}
] |
38250977833 | from django.shortcuts import render
from django.http import HttpResponse
from rest_framework.response import Response
from rest_framework.decorators import api_view
from .serializers import TodoSerializer
from .models import Todo
# Create your views here.
@api_view(['GET'])
def index(request):
return Response('h... | SergeJohn/todo-app | backend/api/views.py | views.py | py | 1,251 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "rest_framework.response.Response",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "rest_framework.decorators.api_view",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "models.Todo.objects.all",
"line_number": 17,
"usage_type": "call"
}... |
44140383131 | import logging as log
from os import getenv, listdir
import discord
from discord.ext import commands
from discord import ExtensionAlreadyLoaded
from dotenv import load_dotenv
# -------------------------> Globals
load_dotenv()
intents = discord.Intents.all()
bot = commands.Bot(command_prefix=getenv('PREFIX'), intents... | juliavdkris/dotobot | src/main.py | main.py | py | 1,451 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "discord.Intents.all",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "discord.Intents",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "discord.e... |
14889874420 | from __future__ import print_function
from operator import itemgetter
import collections
import os.path
import re
import sys
# Avoid endlessly adding to the path if this module is imported multiple
# times, e.g. in an interactive session
regpath = os.path.join(sys.path[0], "registry")
if sys.path[1] != regpath:
s... | AndroidBBQ/android10 | frameworks/native/opengl/tools/glgen2/glgen.py | glgen.py | py | 11,061 | python | en | code | 176 | github-code | 36 | [
{
"api_name": "os.path.path.join",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "sys.path",
"line_numb... |
28481602613 | # Importing flask module in the project is mandatory
# An object of Flask class is our WSGI application.
from flask import Flask, render_template,request, redirect, url_for,session
from pymongo import MongoClient
app = Flask(__name__)
client = MongoClient("mongodb+srv://arsal0344:03444800061@cluster0.u6h8hwf.mongodb... | SHnice/MentoriaPakistan | index.py | index.py | py | 2,889 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pymongo.MongoClient",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "flask.render_temp... |
36567731753 | from __future__ import unicode_literals
from django.db import migrations
from django.db import models
class Migration(migrations.Migration):
dependencies = [
('django_mfa', '0002_auto_20160706_1421'),
]
operations = [
migrations.AlterField(
model_name='UserRecoveryCodes',
... | MicroPyramid/django-mfa | django_mfa/migrations/0003_change_secret_code_max_length.py | 0003_change_secret_code_max_length.py | py | 418 | python | en | code | 176 | github-code | 36 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.AlterField",
"line_number": 14,
"usage_type": "call"
},
{... |
39479689036 | from django.core.management.base import BaseCommand, CommandError
from cards.models import Card
from cards.models import PhysicalCard
from decks.models import Deck, DeckCard, Tournament, TournamentDeck, DeckCluster, DeckClusterDeck
import re
from optparse import make_option
from datetime import datetime, timedelta
... | jcrickmer/mtgdbpy | decks/management/commands/loaddeckhierarchicalclusters.py | loaddeckhierarchicalclusters.py | py | 1,967 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.stdout",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "django.core.management.base.BaseCommand.option_list",
"line_number": 21,
"usage_t... |
36477035716 | import os
from django.shortcuts import render
from django.views.decorators.csrf import csrf_exempt
from catVdog.models import IMG
from Include.cnn.predict import predict
# Create your views here.
# 添加 index 函数，返回 index.html 页面
def index(request):
return render(request, 'index.html')
@csrf_exempt
def u... | Missyanc/CatVsDog | catVdog/views.py | views.py | py | 927 | python | en | code | 97 | github-code | 36 | [
{
"api_name": "django.shortcuts.render",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_n... |
25111441493 | # -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import division, print_function, unicode_literals
__author__ = 'hendro'
from tornado.web import RequestHandler
from library.AutoVivification import AutoVivification
from library.helpers import send_request, is_engine_activated, load_engi... | w33ladalah/news-crawler-engine | webapp/console.py | console.py | py | 5,059 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "tornado.web.RequestHandler",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "config.USERNAME",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "config.PASSWORD",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "config.USE... |
25534524692 | #how to import video in openCV
import cv2 as cv2
import matplotlib.pyplot as plt
import numpy as np
cap = cv2.VideoCapture(0)
fourcc = cv2.VideoWriter_fourcc(*'XVID')
out = cv2.VideoWriter('outpu.avi',fourcc,20.0,(640,480))
while(cap.isOpened()):
ret, frame = cap.read(0)#This code initiates an infinite loop
#re... | CoolCoder31/Machine_learning_and_analyze | MY_START/OpenCV/OpenCV1.py | OpenCV1.py | py | 677 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.VideoWriter_fourcc",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.VideoWriter",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
... |
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