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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
70472881787 | import os, sys
import os.path as osp
sys.path.append(osp.dirname(__file__))
from glob import glob
from tqdm import tqdm
import random
import shutil
import math
random.seed(0)
def split_directory_into_batches(src_dir="../../../../2_Deep_Learning/Dataset/facial_forgery/df_in_the_wild/images/test/0_real",\
... | phuc180155/GraduationThesis | my_thesis/forensics/preprocess_data/split_dataset_into_batches.py | split_dataset_into_batches.py | py | 1,938 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
11458258201 | from selenium import webdriver
import time
driver = webdriver.Chrome()
driver.get('https://www.baidu.com')
# 最大化窗口，如果不最大化窗口，页面有些控件显示不全，做自动化的时候可能定位不到控件
driver.maximize_window()
time.sleep(3)
# driver = webdriver.Firefox()
#
# driver.get('https://www.baidu.com')
# time.sleep(5)
# 三、通过class_name定位元素，如果属性值有空格的说明是复合类，不要用... | Ailian482/WebSelenium | Auto_Test/3_class_name定位方式.py | 3_class_name定位方式.py | py | 794 | python | zh | code | 0 | github-code | 6 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "time.sleep",
... |
73890494269 | import torch
import argparse
from torch.utils.data import DataLoader, Dataset
from torch.utils.data import Dataset, random_split
import numpy as np
import matplotlib.pyplot as plt
import torch
import torch.nn.functional as F
from torch.utils.data import DataLoader
import torch.optim as optim
from models import VQ_Cla... | TClife/xai_timeseries | classifier.py | classifier.py | py | 11,123 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.set_num_threads",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "torch.manual_seed",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "torch.device",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_av... |
17672214686 | import os
import sys
from enum import Enum
sys.path.append(os.path.dirname(os.path.abspath(os.path.dirname(__file__))))
sys.path.append(os.path.dirname(os.path.abspath(os.path.dirname(os.path.abspath(os.path.dirname(__file__))))))
from Config.configs import Configs
from DataService.database_service import DatabaseSer... | amahiner7/GPS-System-Server | WebServerService/WebServerService/singleton_object.py | singleton_object.py | py | 2,176 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
12495454949 | # reference:
# D. J. Higham "An Algorithmic Introduction to Numerical
# Simulation of Stochastic Differential Equations"
# SIAM Review 43 (2001) 525
import numpy as np
import matplotlib.pyplot as plt
np.random.seed(100)
lm=2; mu=1; X0=1;
T=1; N=256; dt=T/N; t=np.linspace(0,T,N+1)
W = np.zeros(N+1)
dW = np.rando... | tt-nakamura/SDE | fig3.py | fig3.py | py | 869 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.random.seed",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "numpy.linspace",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"l... |
17131422582 | from django import forms
from django.forms import ModelForm, fields
from django.forms import widgets
from django.forms.models import modelformset_factory
from django.forms.widgets import TextInput
from .models import TaskInfo, UserInfo
from django.forms import formset_factory
from datetime import date
class DateInpu... | qube1t/lhoraire-web | scheduler/forms.py | forms.py | py | 5,018 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.forms.DateInput",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "datetime.date.today",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "datetime... |
42510609513 | import argparse
import sys, os, shutil
from pathlib import Path
_local_dir = Path(__file__).parent.resolve()
default_config = _local_dir / "netproxy.toml"
_parent = str(_local_dir.parent)
if _parent not in sys.path:
sys.path.insert(0, _parent)
__package__ = _local_dir.name
sys.path.insert(0, str(_local_dir / "ex... | jose-pr/pypki | src/netproxy/__main__.py | __main__.py | py | 1,426 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "pathlib.Path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "sys.path.insert",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number"... |
27308241232 | import random
import math
from collections import namedtuple, deque
from graphics import Board
from itertools import count
import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
import matplotlib
import matplotlib.pyplot as plt
n_actions = 7
class DQN(nn.Module):
def __ini... | aravuri/Connect-Four | net.py | net.py | py | 1,711 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_nu... |
72621174589 | #!/usr/bin/env python
# coding: utf-8
# In[ ]:
# Dependencies
import tweepy
import time
import json
import random
import requests as req
import datetime
import os
consumer_key = os.environ.get("consumer_key")
consumer_secret = os.environ.get("consumer_secret")
access_token = os.environ.get("access_token")
access_to... | jxavie/weatherbot | Weather_Tweets.py | Weather_Tweets.py | py | 1,410 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.environ.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_... |
10506259242 | """解码cifar10的二进制格式文件
Routine for decoding the CIFAR-10 binary file format"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
from six.moves import xrange
import tensorflow as tf
#Process images of this size
IMAGE_SIZE = 24
#Global constants de... | RuanYB/tensorflow | cifar10/cifar10_input.py | cifar10_input.py | py | 8,083 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tensorflow.FixedLengthRecordReader",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "tensorflow.decode_raw",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "tensorflow.uint8",
"line_number": 58,
"usage_type": "attribute"
},
{
"ap... |
38515106833 | from typing import Dict, Any, Tuple, Union
from .pipeline import SentimentPipeline, MetricTracker
from pytorch_lightning import Trainer, seed_everything
from torch.utils.data import DataLoader
import pandas as pd
from .dataset import build_dataloaders
import numpy as np
import torch
def train_model(
cfg: Dict[str... | crypto-sentiment/crypto_sentiment_notebooks | notebooks/checklist_utils/train/bert/train.py | train.py | py | 1,717 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "typing.Dict",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "pandas.DataFrame",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "pandas.DataFrame",
"... |
26135226383 | ##pygal 画廊
import pygal
from random import randint
class Die():
def __init__(self,side=6):
self.side = 6
def roll(self):
return randint(1,self.side)
#执行2次？？？
#执行2次就2次吧，不知道哪里出了问题
die = Die()
#投骰子，把结果存入列表
result=[]
#投100次
for i in range(5):
num = die.roll()
result.append(num)
print(re... | paiping/PythonProject | pygal.py | pygal.py | py | 925 | python | zh | code | 0 | github-code | 6 | [
{
"api_name": "random.randint",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pygal.Bar",
"line_number": 29,
"usage_type": "call"
}
] |
42664243483 | # -*- coding: utf-8 -*-
import cv2
import numpy as np
img_or = cv2.imread('paisaje.jpg')
# Rotación 180
img_rot = cv2.rotate(img_or, cv2.ROTATE_180)
# Unificación y negativización
img_rot_neg = 255 - cv2.cvtColor(img_rot, cv2.COLOR_BGR2GRAY)
cv2.imshow('Imagen original', img_or)
cv2.imshow('Imagen nega... | andresdulonz/algoritmo_3__negativo_de_la_imagen | algoritmo_3__negativo_de_la_imagen/ejercicio_5.py | ejercicio_5.py | py | 368 | python | es | code | 0 | github-code | 6 | [
{
"api_name": "cv2.imread",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.rotate",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.ROTATE_180",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "cv2.cvtColor",
"line_numbe... |
41599086922 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('WODStory', '0004_auto_20161013_1528'),
]
operations = [
migrations.AddField(
model_name='workout',
n... | yoonjong92/WODStory_Server | WODStory/migrations/0005_auto_20161013_1629.py | 0005_auto_20161013_1629.py | py | 614 | python | en | code | 0 | github-code | 6 | [
{
"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.AddField",
"line_number": 14,
"usage_type": "call"
},
{
... |
10688469085 | from datetime import datetime
from schema import Chapter, Article, Speaker, Paragraph
from hdoc import HDoc, TextFormat
import re, sys
def contains_question(s):
p = re.compile('Q:', re.IGNORECASE)
return True if p.match(s) else False
def contains_speaker(s):
res = False
t = s.strip(' ')
p_simple ... | mikezm/h2hparser | helpers.py | helpers.py | py | 11,664 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "re.compile",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "re.IGNORECASE",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "re.compile",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number"... |
17329468454 | import os
import requests
from bitrix24 import *
from init_logger import create_logger
from src.dtos.wolya_dto import WolyaDTO
from src.enums.bitrix_enum import BitrixEnum
from envs import Envs
from src.smtp.mailing import mailing
event_counter = 0
logger = create_logger()
class BitrixClient:
deal_key = 'data[... | XValentavr/bitrix_gateway | src/my_bitrix/bitrix_client.py | bitrix_client.py | py | 2,554 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "init_logger.create_logger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "envs.Envs.WOLYA_URL",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "envs.Envs",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "envs.Env... |
73866140026 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat May 16 23:40:29 2020
@author: Dani Kiyasseh
"""
#%%
import numpy as np
from prepare_miscellaneous import obtain_information, obtain_saved_weights_name, make_saving_directory, modify_dataset_order_for_multi_task_learning, obtain_load_path_dir, determine... | danikiyasseh/RTLP | run_experiments.py | run_experiments.py | py | 26,818 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "prepare_miscellaneous.obtain_saved_weights_name",
"line_number": 166,
"usage_type": "call"
},
{
"api_name": "prepare_miscellaneous.obtain_information",
"line_number": 169,
"usage_type": "call"
},
{
"api_name": "prepare_miscellaneous.obtain_information",
"line_n... |
17000325430 | #!/usr/bin/env python
from pathlib import Path
import json
import yaml
here = Path(__file__).parent
wakatime = json.loads((here / 'wakatime.json').read_text())
technologies = yaml.load((here / 'technologies.yaml').read_text(), Loader=yaml.SafeLoader)
per_language_totals = {}
per_project_totals = {}
# Maps Wakatime la... | ewen-lbh/portfolio | database/aggregate-language-times.py | aggregate-language-times.py | py | 1,761 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pathlib.Path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "yaml.load",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "yaml.SafeLoader",
"line_number": 8... |
86366426616 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
"""
https://medium.com/@martinpella/logistic-regression-from-scratch-in-python-124c5636b8ac
https://www.geeksforgeeks.org/understanding-logistic-regression/
"""
def normalize(X):
mins = np.min(X, axis=0)
maxs = np.max(X, axis=0)
rng = ... | MitaAcharya/MachineLeaning | AndrewNG/Week3/Week3_LO_Extra/LogisticRegression/LogisticRegressionFirstBinaryClassifier.py | LogisticRegressionFirstBinaryClassifier.py | py | 3,218 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.min",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.max",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.dot",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": 23,
... |
37118636258 | from enum import StrEnum
class WeaponType(StrEnum):
bow = 'bow'
catalyst = 'catalyst'
claymore = 'claymore'
polearm = 'polearm'
sword = 'sword'
class Element(StrEnum):
anemo = 'anemo'
cryo = 'cryo'
dendro = 'dendro'
electro = 'electro'
geo = 'geo'
hydro = 'hydro'
pyro... | EymireWorld/gi-data | app/schemas.py | schemas.py | py | 330 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "enum.StrEnum",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "enum.StrEnum",
"line_number": 12,
"usage_type": "name"
}
] |
35063589303 | from django import forms
from django.shortcuts import get_object_or_404
from django.forms import ValidationError
from core.models import Dataset, User, Project
from core.models.contract import Contract
class DatasetForm(forms.ModelForm):
class Meta:
model = Dataset
fields = ['local_custodians', 't... | vildead/daisy | core/forms/dataset.py | dataset.py | py | 3,898 | python | en | code | null | github-code | 6 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "core.models.Dataset",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.for... |
10519055462 | from django.shortcuts import render,redirect
from django.contrib.auth.decorators import login_required
from .forms import (
Patient_personal_infoForm,
VisitForm,
PatientForm,
EmployeeForm,
PrescriptionForm,
DoctorForm,
HospitalForm,
Normal_valuesForm,
ACR_ScoringForm,
Basic_TestsForm,
Advanced_TestsForm,
BM... | NarayanaRao26/dbms_project | database/views.py | views.py | py | 4,502 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.shortcuts.render",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "forms.Patient_personal_infoForm",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "forms.ACR_ScoringForm",
"line_number": 29,
"usage_type": "call"
},
{
"api... |
607182869 | import os
from django.conf import settings
from django.http import HttpResponse
from api.model.serializers import GroupSerializer
from accounts.serializers import TeacherGETSerializer
from api.service.db_service import groups_statistic, populate_database, teacher_statistic
from api.service.save_service import save_file... | hachimanhikki/diploma-backend-for-server | flows/views.py | views.py | py | 2,875 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "api.service.save_service.save_file",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "django.conf.settings.FLOWS_FILE_NAME",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 20,
"usage_type": "nam... |
38903284482 | import youtube_transcript_api
from transformers import pipeline
from youtube_transcript_api import YouTubeTranscriptApi
from flask import Flask, abort
import pickle
from flask import request
import nltk
nltk.download('punkt')
# from datetime
# define a variable to hold you app
app = Flask(__name__)
model = pipeline("s... | mahi-ma/Youtube-transcripts-summarizer | app.py | app.py | py | 2,709 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "nltk.download",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "transformers.pipeline",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "youtube_transcript_api... |
23116503004 | import os
import re
import json
import hashlib
import requests
from flask import g
from flask import abort
from flask import request
from flask import jsonify
from flask import Response
from flask import Blueprint
from werkzeug.datastructures import Headers
from eplatform import app
from eplatform import connect_db
... | EibrielInv/platform | eplatform/modules/main/__init__.py | __init__.py | py | 27,998 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Blueprint",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "flask.g",
"line_number": 36,
"usage_type": "argument"
},
{
"api_name": "flask.g.cloudant_client",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "flask.g",
... |
29990701274 | """
CSAPX Lab 3: Merchants of Venice
Given a list of merchants at integer locations on a road, find the optimal
location to place a new merchant, such that the sum of the distances the
new merchant must travel to all other merchants is minimized.
$ python3 merchants.py [slow|fast] input-file
Author: Sean Strout @ RI... | an5558/csapx-20191-lab3-merchants-an5558-master | src/merchants.py | merchants.py | py | 5,386 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.namedtuple",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 44,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"li... |
39046868722 | from marshmallow import Schema, fields, post_load
from rest_client.ProteinPFAMRest import ProteinPFAMAPI
import datetime
class ProteinPFAMSchema(Schema):
"""
This class map the json into the object Domain
..note:: see marshmallow API
"""
id = fields.Int()
date_creation = fields.Date()
do... | diogo1790/inphinity | objects_API/ProteinPFAMJ.py | ProteinPFAMJ.py | py | 3,624 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "marshmallow.Schema",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "marshmallow.fields.Int",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "marshmallow.fields",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "marshmall... |
72233155067 | import os
import torch
import torchvision
import torchvision.transforms as transforms
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import numpy as np
import matplotlib.pyplot as plt
BATCH_SIZE = 4
device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')
transform ... | hermanprawiro/pytorch-learn | tutorials/training_tut.py | training_tut.py | py | 5,162 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.device",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "torchvision.tran... |
41495739815 | from torch import nn
import torch
import torch.nn.functional as F
from torchstat import stat
class DoubleConv(nn.Module):
def __init__(self, in_channels, out_channels, mid_channels=None, stride=1):
if mid_channels is None:
mid_channels = out_channels
super(DoubleConv, self).__init__()
... | CSUIIS/MsFEFNet-and-MT-TSNLNet | segmentation/MsFEFNet/modelcode/MsFEFNet.py | MsFEFNet.py | py | 12,767 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numb... |
36413199968 | # ---------------
# ParamCopy - Substance 3D Designer plugin
# (c) 2019-2022 Eyosido Software SARL
# ---------------
import logging
import sd
from paramcopy.pccore.pcdata import PCData
class PCLogger:
internal_instance = None
@classmethod
# simplified singleton
def instance(cls):
if cls.inter... | eyosido/ParamCopy | src/paramcopy/pccore/pclog.py | pclog.py | py | 1,482 | python | en | code | 9 | github-code | 6 | [
{
"api_name": "sd.getContext",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "logging.Logger",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "paramcopy.pccore.... |
70676892347 | import numpy as np
import cv2 as cv
def opening(img, kernel):
img = cv.morphologyEx(img, cv.MORPH_OPEN, kernel)
return img
def closing(img, kernel):
img = cv.morphologyEx(img, cv.MORPH_CLOSE, kernel)
return img
# Zadanie na ocenę dostateczną
def renew_pictures():
... | obrazowaniebiomedyczne/laboratorium-2-wt-tn-17-05-filipmg | solution.py | solution.py | py | 3,830 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.morphologyEx",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.MORPH_OPEN",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "cv2.morphologyEx",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "cv2.MORPH_CLOSE",... |
1912276722 | import numpy as np
import torch
import sys
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import os
import pandas as pd
from torch.utils.data import DataLoader, Dataset, TensorDataset
import time
import matplotlib.pyplot as plt
# global variables
cuda = torch.cuda.is_available()
devi... | lingjie-feng/Deep-Learning-Models | Frame_Level Classification_of_Speech/test.py | test.py | py | 3,491 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.cuda.is_available",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "torch.device",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.version",
... |
20216414002 | from collections import namedtuple
from model.flyweight import Flyweight
from model.static.database import database
from model.dynamic.inventory.item import Item
class TypeRequirements(Flyweight): #IGNORE:R0903
def __init__(self, type_id):
#prevents reinitializing
if "_inited" in self.__d... | Iconik/eve-suite | src/model/static/ram/type_requirements.py | type_requirements.py | py | 1,578 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "model.flyweight.Flyweight",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "model.static.database.database.get_cursor",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "model.static.database.database",
"line_number": 29,
"usage_type": "nam... |
7064277772 | """
09/12/17: The MyPicasa database
"""
from os import walk, path
from json import dump, load
from PIL import Image, ExifTags
from datetime import datetime
class PicasaData():
""" Interface to the data class """
def __init__(self, controller):
self.controller = controller
self.stamp = datetime... | berkobob/myPicasa | data.py | data.py | py | 3,812 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime.now",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "json.load",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.walk",
"line... |
19504734267 | from igraph import Graph
from igraph import plot
#grafo simples orientado que forma um circuito
grafo1 = Graph(edges = [(0,1),(1,2),(2,3),(3,0)], directed = True)
print(grafo1)
grafo1.vs['label'] = range(grafo1.vcount()) #não funcionou
plot(grafo1, bbox = (300,300))
#grafo orientado com laço
grafo2 = Graph(edges = [(... | guibarreta1993Average/data_science_udemy | 05_Grafos/aula31_introducao.py | aula31_introducao.py | py | 729 | python | pt | code | 0 | github-code | 6 | [
{
"api_name": "igraph.Graph",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "igraph.plot",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "igraph.Graph",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "igraph.plot",
"line_number": ... |
18355999351 | # -*- coding: utf-8 -*-
import argparse
import dgl.function as fn
import dgl.nn.pytorch as dglnn
import torch as th
import torch.nn as nn
import torch.optim
from data import MovieLens
def config():
parser = argparse.ArgumentParser(description='GCMC')
parser.add_argument('--device', default=0, ty... | Minzc/dgi_snippet | train.py | train.py | py | 9,304 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.device",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torch.nn.Module",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
... |
39673439664 | import textwrap
from pathlib import Path
import yaml
import craft_parts
from craft_parts import Action, Step
_LOCAL_DIR = Path(__file__).parent
def test_source_snap(mocker, new_dir, fake_snap_command):
_parts_yaml = textwrap.dedent(
"""\
parts:
foo:
plugin: nil
... | cmatsuoka/craft-parts-orig | tests/integration/lifecycle/test_stage_snaps.py | test_stage_snaps.py | py | 1,211 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pathlib.Path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "textwrap.dedent",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "yaml.safe_load",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "craft_parts.LifecycleManag... |
38452034362 | import sys
from collections import deque
input = sys.stdin.readline
m,n = map(int,input().split())
L = []
Check = [[-1]*m for _ in range(n)]
for _ in range(n):
L.append(list(map(int,input().split())))
dy = [0,-1,0,1]
dx = [-1,0,1,0]
areaID = 0
aSize = []
def grid_bfs(start,areaID):
dq = deque([start])
C... | LightPotato99/baekjoon | bitmask/castleWall.py | castleWall.py | py | 1,362 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.stdin",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "collections.deque",
"line_number": 18,
"usage_type": "call"
}
] |
72532853309 | # pylint:disable=unused-variable
# pylint:disable=unused-argument
# pylint:disable=redefined-outer-name
import json
from collections.abc import AsyncIterator, Iterator
from copy import deepcopy
from pathlib import Path
import pytest
import sqlalchemy as sa
from aioresponses import aioresponses
from pytest_simcore.hel... | ITISFoundation/osparc-simcore | services/web/server/tests/unit/with_dbs/03/wallets/conftest.py | conftest.py | py | 3,781 | python | en | code | 35 | github-code | 6 | [
{
"api_name": "pytest_simcore.helpers.typing_env.EnvVarsDict",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "pytest_simcore.helpers.typing_env.EnvVarsDict",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "pytest.MonkeyPatch",
"line_number": 24,
"usag... |
34336834634 | from tkinter import *
import cv2
import numpy as np
import tkinter as tk
from tkinter import filedialog, Text
from PIL import Image, ImageTk
import pytesseract
from pytesseract import Output
pytesseract.pytesseract.tesseract_cmd='C:\Program Files\Tesseract-OCR\\Tesseract.exe'
def openimg():
filename =... | rushabhporwal29/image_processing_nehal | mini_project1.py | mini_project1.py | py | 5,929 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pytesseract.pytesseract",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "tkinter.filedialog.askopenfilename",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "tkinter.filedialog",
"line_number": 13,
"usage_type": "name"
},
{
... |
41758447902 | import time
import curses
import random
import asyncio
from async_funcs import blink
from async_funcs import fire
from async_funcs import animate_spaceship
from async_funcs import run_spaceship
from async_funcs import fly_garbage
from async_funcs import fill_orbit_with_garbage
from async_funcs import count_year
from ... | qDes/space_game | main.py | main.py | py | 2,718 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "random.randint",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "global_vars.coroutines.ap... |
3037579150 | from collections import defaultdict
from operator import itemgetter
def solution(genres, plays):
genre_play_dict = defaultdict(lambda: 0)
for genre, play in zip(genres, plays):
genre_play_dict[genre] += play
genre_rank = [genre for genre, play in sorted(genre_play_dict.items(), key=itemgetter(1),... | sunyeongchoi/sydsyd_challenge | argorithm/best_album_practice.py | best_album_practice.py | py | 1,140 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "collections.defaultdict",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "operator.itemgetter",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "op... |
16166175154 | from django.shortcuts import render, get_object_or_404, redirect
from helent.models import Post
# from .models import Comment
from .forms import CommentForm
# Create your views here.
def post_comment(request, post_pk):
# 先获取被评论的文章,评论和文章要关联
# 函数get_object_or_404的作用是当获取的文章(Post)存在时获取,不存在时返回404页面
post = ge... | Geneln/django_blog | comments/views.py | views.py | py | 1,330 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.shortcuts.get_object_or_404",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "helent.models.Post",
"line_number": 13,
"usage_type": "argument"
},
{
"api_name": "forms.CommentForm",
"line_number": 17,
"usage_type": "call"
},
{
"api_n... |
10254889386 | import pygame, random, threading
from EventFlags import EventFlags
pygame.init()
arduino = True
GREEN = (20, 255, 140)
GREY = (210, 210, 210)
WHITE = (255, 255, 255)
RED = (255, 0, 0)
PURPLE = (255, 0, 255)
BLACK = (0, 0, 0)
secondPlay = False
FALLSPEED = 8
OBJECTPROB = 10
SCREENWIDTH = 1200
SCREENHEIGHT = 800... | mitchadam/GubaRush | Game/Game.py | Game.py | py | 25,047 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "pygame.init",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pygame.time.Clock",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pygame.time",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "pygame.display.set_mode... |
42896315102 | # This specific script failed randomly with some XLA/CUDA errors at start-up for my computer.
# If you want to run it, you may have to just try again a few times. I am not sure what is causing this. It may just be
# a problem with my computer. Will try on another one soon.
# I am typically getting one of these errors:
... | AdrienCorenflos/aux-ssm-samplers | aux_samplers/examples/lorenz/experiment.py | experiment.py | py | 13,579 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "jax.config.update",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "jax.config",
... |
12791944170 | # -*- coding: utf-8 -*-
"""
Created on Sat Aug 22 15:51:48 2020
在服务器中创建一个空白表，并把历史数据CSV文件中的数据导入这个表中。
首先要在数据库中把这个表删除
表名是tblhistory
进而填写出5阶差分的值，看看规律
@author: Eddiezhang
"""
import psycopg2
import configparser
# 查找0～255的地址
def ping(ip):
import os
# ret =os.system('ping -c 1 -w 1 %s'%ip) #每个ip ping 1次，等待时间为1s
r... | eddiejunzhang/ssq-git-ana | rebuild_history_to_db.py | rebuild_history_to_db.py | py | 7,767 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.system",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "configparser.ConfigParser",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "psycopg2.connect",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "configparser.Con... |
74128851069 | from argparse import ArgumentParser
from asyncio import get_event_loop
from asyncio import create_task
from asyncio import gather
from inspect import iscoroutinefunction
from sys import exit as sys_exit
from aiofiles import open as async_open
from os import remove
from . import *
parser = ArgumentParser(description="P... | D4rkwat3r/ProjZ | projz/__main__.py | __main__.py | py | 9,696 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "inspect.iscoroutinefunction",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "asyncio.get_event_loop",
"line_number": 53,
"usage_type": "call"
},
{
"api_na... |
13442875639 | from collections import namedtuple
#This object describes the event of an entity being created
CreateEnt = namedtuple( 'CreateEnt', ['entId', 'className', 'position', 'velocity', 'kwargs'] )
#This object describes the event of removing an ent.
RemoveEnt = namedtuple( 'RemoveEnt', ['entId'] )
#This object describes t... | Occuliner/ThisHackishMess | modules/stockclasses/networkupdateclasses.py | networkupdateclasses.py | py | 960 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "collections.namedtuple",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "co... |
4992880932 | import time
import sys
from django.contrib.staticfiles.testing import StaticLiveServerTestCase
from selenium import webdriver
from selenium.common.exceptions import WebDriverException
MAX_WAIT = 5
def wait(fn):
def modified_fn(*args, **kwargs):
start_time = time.time()
while True:
try... | ZhelSE/exchange_point | ft/base.py | base.py | py | 1,208 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "time.time",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "selenium.common.exceptions.WebDriverException",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "time.time",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "tim... |
25149091323 | import json
from celery import group
from django.contrib.auth import get_user_model
from django.contrib.auth.mixins import LoginRequiredMixin
from django.contrib.messages.views import SuccessMessageMixin
from django.urls import reverse
from django.utils.translation import gettext_lazy as _
from django.views.generic imp... | ford19982541/django-celery-rabbitmq-demo | demoq/users/views.py | views.py | py | 2,577 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.mixins.LoginRequiredMixin",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "django.views.generic.DetailView",
"line_number": 20,
"us... |
38153161951 | from collections import OrderedDict
import datetime
import logging
import os
from scrapy.crawler import CrawlerProcess
from scrapy.utils import display
from scrapy.utils.project import get_project_settings
# it's necessary to remove the lambda loggers first, otherwise the Scrapy log
# settings aren't respected and we... | multiplechoice/spiders | handler.py | handler.py | py | 2,280 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "boto... |
35049079491 | """
Activation functions
"""
import theano.tensor as T
tanh = T.tanh
sigmoid = T.nnet.sigmoid
softplus = T.nnet.softplus
# @staticmethod
def relu(X):
"""Rectified linear units (relu)"""
return T.maximum(0,X) | lpigou/Theano-3D-ConvNet | convnet3d/activations.py | activations.py | py | 221 | python | en | code | 83 | github-code | 6 | [
{
"api_name": "theano.tensor.tanh",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "theano.tensor",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "theano.tensor.nnet",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "theano.... |
12653349946 | # -*- coding: utf-8 -*-
"""
Created on Mon Jul 03 22:12:56 2017
@author: touristlee
TO:Don't worry,be happy!
"""
import web
import pandas as pd
import numpy as np
#读取数据
df = pd.read_csv('small_user.csv',encoding='utf-8')
#随机生成一个省份列表
def get_province(x):
youlist = []
for i in x:
ma... | touristlee/webpy | mysite.py | mysite.py | py | 2,138 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "web.template.render",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "web.template",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "web.header",
... |
3279426250 | import json
KEY_TEMPERATURE = 'temperatura'
KEY_DRY_COUGH = 'tos_seca'
KEY_LOSS_OF_SMELL = 'perdida_del_olfato'
KEY_LOSS_OF_TASTE = 'perdida_del_gusto'
DEFAULT_BOOLEAN_QUESTION = 'n'
class CovidSurvey:
def __init__(self):
self._answers = {}
def run(self):
self._answers[KEY_TEMPERATURE] = float(input('In... | aalvarezwindey/sensible-data-system | model/covid_survey/covid_survey.py | covid_survey.py | py | 712 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.dumps",
"line_number": 19,
"usage_type": "call"
}
] |
12790612626 | #!/usr/bin/env python
import copy
import sys
import os
import time
import pickle
import statistics
from shutil import copyfile
from methods import (run_TRANE_simulations, run_APS_simulations, save_facies_grids_as_png,
count_connected_grid_nodes, calculate_and_save_facies_prob_maps,
... | Skauvold/APSvsTPG | python_code/run_models.py | run_models.py | py | 5,978 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "methods.run_TRANE_simulations",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "os.mkdir",
... |
15549492714 | import torch
import copy
import random
##### Locally Self-Balancing Sampler
class LSB():
##### Function initializing elements used
##### to compute and sample from Q(X'|X))
# batch - number of chains
# func - 'lsb1', 'lsb2'
# lr - learning rate
# start_x - dictionary with va... | emsansone/LSB | UAI/self_sampler.py | self_sampler.py | py | 17,909 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "torch.tensor",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "torch.nn.Softmax",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "torch.zeros",
"line_n... |
11380864276 | import config_file_out
import process
import config
import router_module
import subprocess
class DhcpServer(router_module.RouterModule):
def __init__(self, ctx):
self.config_file = config_file_out.ConfigFileOut(ctx, "dhcpd.conf")
preamble = """
subnet 192.168.1.0 netmask 255.255.255.0 {
option routers ... | mbahlabs/mbah-router | py/dhcp_server.py | dhcp_server.py | py | 1,307 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "router_module.RouterModule",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "config_file_out.ConfigFileOut",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "config.Config.get_config",
"line_number": 27,
"usage_type": "call"
},
{
... |
22879360785 | import speech_recognition as sr
import sys
import torch
from torch.utils.data import Dataset, DataLoader
from transformers import AutoTokenizer, AutoModelForSequenceClassification
from transformers import BertModel
r = sr.Recognizer()
def infer(text):
out_dict = {}
output_str = ''
for col in ['position_... | HugoXK/ECE-445-Senior-Design | nlp/test_nlp.py | test_nlp.py | py | 1,759 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "speech_recognition.Recognizer",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "transformers.AutoTokenizer.from_pretrained",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "transformers.AutoTokenizer",
"line_number": 15,
"usage_type": "na... |
29331718522 | from django.views.generic import ListView
from django.views.generic import DetailView
from django.views.generic.edit import CreateView
from django.views.generic.edit import UpdateView
from django.views.generic.edit import DeleteView
from course.models import Course
from django.urls import reverse_lazy
class CourseLis... | TheCodingShophouse/codingshophouse_py_2017 | coursegroup/course/views/course.py | course.py | py | 1,067 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.views.generic.ListView",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "course.models.Course",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "django.views.generic.DetailView",
"line_number": 13,
"usage_type": "name"
},
{
... |
43372332235 | import copy
import os
import sys
import warnings
from collections import Counter
from functools import partial
from itertools import combinations
from operator import itemgetter
import six
import numpy as np
import pandas as pd
from scipy.signal import savgol_filter
from scipy.special import comb
from . import PEAK_F... | Chris7/pyquant | pyquant/utils.py | utils.py | py | 40,997 | python | en | code | 14 | github-code | 6 | [
{
"api_name": "os.environ.get",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "pandas.Series",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "pandas.Series",
"lin... |
42939769427 | import numpy as np
import matplotlib.pyplot as pyplot
uAndes = open("tiempo_uandes_exportado.csv")
qNormal = open("330020_202208_AguaCaida.csv")
qNormal.readline()
uAndes.readline()
andes = uAndes.readlines()
qnormal = qNormal.readlines()
print(len(andes))
print(len(qnormal))
andesPrec = []
qNormalPrec = []
time... | elbug-py/weathertrack | get_prec.py | get_prec.py | py | 938 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.subtract",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.scatter",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 41,
"usage_type": "name"
},
{
"api_name": "matplotlib... |
5454385441 | """
Problem:
21. Merge Two Sorted Lists
Difficulty:
Easy
URL:
https://leetcode.com/problems/merge-two-sorted-lists
Tags:
Linked List, Recursion
Date:
2022-05-10T14:00:29.877163+08:00
"""
from typing import List, Optional
import sys
sys.path.append('..')
from utils.list.list_node import ListNode
c... | s0u0b/leetcode | solutions/a00021_merge_two_sorted_lists.py | a00021_merge_two_sorted_lists.py | py | 1,639 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "typing.Optional",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "utils.list.list_node.Li... |
15598873092 | import torch
import os.path
import numpy as np
import pickle
import importlib
import yolo.config.yolo_voc as cfg
from yolo.yolov2 import build_yolo
from utils.extras import Timer, get_output_dir
from utils.utils_eval import write_voc_results_file, do_python_eval
use_cv2 = importlib.util.find_spec('cv2') is not None
i... | AceCoooool/detection-pytorch | yolo/eval.py | eval.py | py | 5,113 | python | en | code | 24 | github-code | 6 | [
{
"api_name": "importlib.util.find_spec",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "importlib.util",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "dataset.voc0712_cv",
"line_number": 24,
"usage_type": "argument"
},
{
"api_name": "y... |
4312014962 | from collections import deque
if __name__ == "__main__":
n = int(input())
d = deque()
for _ in range(n):
inputs = input().split()
action = inputs[0]
if len(inputs) > 1:
ele = inputs[1]
if action == "append":
d.append(ele)
elif action == "ap... | thiagojuliao/Hacker-Rank | Python/Collections/CollectionsDeque().py | CollectionsDeque().py | py | 473 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 5,
"usage_type": "call"
}
] |
36041027706 | import bottleneck as bn
import matplotlib.pyplot as plt
import numpy as np
dqn = np.load("./dqn/buf.npy")[:5000]
double_dqn = np.load("./double_dqn/buf.npy")[:5000]
duel_dqn = np.load("./dueling_dqn/buf.npy")[:5000]
dqn = bn.move_mean(dqn, 100, 1)
double_dqn = bn.move_mean(double_dqn, 100, 1)
duel_dqn = bn.move_mean(... | ppaanngggg/rl_course | 09/show.py | show.py | py | 499 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.load",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "bottleneck.move_mean",
"line_number... |
40786160807 | import pandas as file
from sklearn.ensemble import RandomForestClassifier
from sklearn.model_selection import train_test_split
forest_model = RandomForestClassifier(criterion='gini',
n_estimators=60,
min_samples_split=11,
min_sam... | kiper00/DataMining | Hw1/Hw.py | Hw.py | py | 2,273 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sklearn.ensemble.RandomForestClassifier",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 34,
"usage_type": "call"... |
28395377944 |
import struct
import random
import sys
import pathlib
import mmap
import heapq
path = pathlib.Path(sys.argv[1])
def partition(A, elem_start, elem_stop, elem_size, key_start, key_stop):
pivot_index = random.randint(elem_start, elem_stop)
pivot = A[pivot_index * elem_size + key_start : pivot_index * elem... | cwpearson/graph-datasets | tools/util/sort.py | sort.py | py | 4,529 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pathlib.Path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "random.randint",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "heapq.heappush",
"line_nu... |
8655592927 | import argparse
import os
from pathlib import Path
from validation import validation_binary, validation_multi
import torch
from torch import nn
from torch.utils.data import DataLoader
import torch.backends.cudnn as cudnn
import torch.backends.cudnn
from models import UNet11, LinkNet34, UNet, UNet16, AlbuNet
from loss... | supervisely-ecosystem/unet | custom_net/train.py | train.py | py | 7,610 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "models.UNet",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "models.UNet11",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "torchvision.models.vgg.model_urls",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "models.UN... |
12994697426 | import sys
sys.path.append("..")
import segprops.segprops as segprops
import cv2
import cv
import componentsUtils as cmpUtls
import seqscanseg
import numpy as np
import random
def getRandomColor(srcI):
r = srcI
g = random.randint(0, 255)
b = random.randint(0, 255)
return (r, (g + 155) / 2, (b + 155) / 2)
def c... | zjucsxxd/MTU_CV | segmentation/seqscanseg_test2.py | seqscanseg_test2.py | py | 1,244 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "random.randint",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line... |
5290615509 | from vosk import Model, KaldiRecognizer
import speech_recognition
import wave
import json
import os
import webbrowser
import subprocess
import pyautogui
import keyboard
import time
import pyttsx3
engine = pyttsx3.init()
notasd=0
engine.say('добрый день')
engine.runAndWait()
def record_and_rec... | ebcah/Stupied-bot-helper | helper.py | helper.py | py | 5,465 | python | ru | code | 0 | github-code | 6 | [
{
"api_name": "pyttsx3.init",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "speech_recognition.WaitTimeoutError",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "speech_recognition.UnknownValueError",
"line_number": 47,
"usage_type": "attribute"... |
29687392897 | import notification
from q_learning import *
from flask import Flask, request
# Due to the limit temperature that DHT11 capture, temperature_threshold is limited to 50.
# If using DHT22 or better sensor, this value may be changed.
app = Flask(__name__)
on_fire = False
temperature_threshold = 50
humidity_threshold = 20... | BeaconAR/BEST | server/pie_flask.py | pie_flask.py | py | 1,964 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "notification.send_notification",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "flask.request.get_json",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "flas... |
12959022649 | import numpy as np
import pylab as plt
import pdb
import math
import os
from microlens.jlu import munge
from microlens.jlu import model_fitter, model
import shutil, os, sys
import scipy
import scipy.stats
from scipy.stats import chi2
from astropy.table import Table
from jlu.util import fileUtil
from astropy.table impor... | jluastro/JLU-python-code | jlu/papers/prop_hst_cycle28mid.py | prop_hst_cycle28mid.py | py | 30,997 | python | en | code | 9 | github-code | 6 | [
{
"api_name": "jlu.papers.lu_2019_lens.pspl_ast_multiphot",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "jlu.papers.lu_2019_lens",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "jlu.papers.lu_2019_lens.pspl_ast_multiphot",
"line_number": 27,
"... |
42783692935 | import numpy as np
import matplotlib.pyplot as plt
import file_test.readfile as rd
import IMU_Process as imu
import UWB.dis2pos as uwb
import uwb_pdr_fusion as fusion
D2R = np.pi / 180.0
init_yaw = 73 * D2R
init_pos = np.array([3.08, 6.22])
# is_from_uwb这个数据是不是来着于UWB设备的IMU的
def test_pdr(is_from_uwb, file):
da_s... | piapi/IMU | test_pdr_ins.py | test_pdr_ins.py | py | 6,121 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.pi",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "file_test.readfile.read_file",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "file_test.readf... |
3815828434 | #!/usr/bin/env python3
"""
Scripts to train a keras model using tensorflow.
Basic usage should feel familiar: python train_v2.py --model models/mypilot
Usage:
train.py [--tubs=tubs] (--model=<model>) [--type=(linear|inferred|tensorrt_linear|tflite_linear)]
Options:
-h --help Show this screen.
"""... | cl3m3nt/mycar4 | train.py | train.py | py | 6,746 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "donkeycar.parts.tub_v2.Tub",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "donkeycar.utils.train_test_split",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "tensorflow.python.keras.utils.data_utils.Sequence",
"line_number": 55,
"usage... |
5193030375 | import base64
from datetime import datetime
import hashlib
import hmac
import logging
from urlparse import urlparse
from Crypto import Random
from Crypto.Cipher import AES
from Crypto.Util import Counter
__author__ = 'broken'
__all__ = [
'SecureCookieException',
'SecureCookieMaxLengthException',
'SecureC... | ef-ctx/SecureCookie | secure_cookie/cookie.py | cookie.py | py | 4,760 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "base64.urlsafe_b64decode",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "base64.urlsafe_b64encode",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "C... |
6580379051 | import os,sys,math,pickle
import random as lrand
import rpy2.robjects as robjects
import argparse
import numpy
#import svmutil
def init():
lrand.seed(1982)
robjects.r('library(splines)')
robjects.r('library(stats4)')
robjects.r('library(survival)')
robjects.r('library(mvtnorm)')
robjects.r('lib... | SegataLab/lefse | lefse/lefse.py | lefse.py | py | 10,669 | python | en | code | 62 | github-code | 6 | [
{
"api_name": "random.seed",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "rpy2.robjects.r",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "rpy2.robjects",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "rpy2.robjects.r",
"line_... |
74132547068 | import speech_recognition as sr
robot_ear = sr.Recognizer()
# Set the energy threshold (adjust as needed)
robot_ear.energy_threshold = 8000
STOPWORD = ["dừng lại", "dừng"]
while True:
with sr.Microphone() as mic:
print("Robot: Tôi đang lắng nghe...")
audio = robot_ear.listen(mic)
... | meohoangdeptrai1407/Thesis_Psychology | Speech/Listening/Normal Voice/Vietnamese/demo.py | demo.py | py | 770 | python | vi | code | 0 | github-code | 6 | [
{
"api_name": "speech_recognition.Recognizer",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "speech_recognition.Microphone",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "speech_recognition.UnknownValueError",
"line_number": 16,
"usage_type": "attrib... |
42812354931 | import requests
def main():
res = requests.get("https://data.fixer.io/api/latest")
if res.status_code != 200:
raise Exception("ERROR: API Request unsuccesful.")
data = res.json()
print(data)
if __name__ == "__main__":
main()
### DEPRECATED CODE BECAUSE FIXER.IO REQUIRES API KEY NOW, SEE... | jjjj17/CS50 | APIs/currency0.py | currency0.py | py | 336 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 4,
"usage_type": "call"
}
] |
21831977004 | from typing import Any, Dict
from fastapi import APIRouter, Depends, Response, status
from sqlalchemy.exc import OperationalError
from sqlalchemy.ext.asyncio import AsyncSession
from backend.api.auth import HasListAccess, UserAuth
from backend.data_models.response import User
from backend.db.db import get_session, pi... | phineas-fam/rental | backend/api/health/endpoints.py | endpoints.py | py | 1,231 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "backend.api.auth.UserAuth",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "backend.api.auth.HasListAccess",
"line_number": 12,
"usage_type": "call"
},
{
"api_na... |
35320906569 | from selenium import webdriver
from fake_headers import Headers
import time
url = 'https://dikidi.net/'
# url = 'https://www.whatismybrowser.com/detect/what-is-my-user-agent/'
headers = Headers(os="lin", headers=True).generate()
print(headers)
options = webdriver.FirefoxOptions()
# options.add_argument(f"User-Agent... | Sergryap/loader_dikidi_catalog | firefoxdriver/main.py | main.py | py | 602 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "fake_headers.Headers",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.FirefoxOptions",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 11,
"usage_type": "name"
},
{
"api_name... |
41993002337 | import requests
import json
# task 3
def currency_rates(currency):
response = requests.get('https://www.cbr-xml-daily.ru/daily_json.js')
result = json.loads(response.text)
registr = currency.isupper()
currency_1 = 0
if registr == False:
currency_1 = currency.upper()
else:
curre... | UraKuleshov/Python-Homework | currency_rates.py | currency_rates.py | py | 594 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 8,
"usage_type": "call"
}
] |
36092791308 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import absolute_import
import gevent
from napixd.client.gevent import Client
from napixd.client.client import coerce_authenticator
class ClientPool(object):
"""
A class that handles multiples clients
and forward request.
*authenticator*... | napix/NapixServer | napixd/client/pool.py | pool.py | py | 2,789 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "napixd.client.client.coerce_authenticator",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "napixd.client.gevent.Client",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "gevent.spawn",
"line_number": 49,
"usage_type": "call"
},
{
... |
6380996294 | import torch
import argparse
import datetime
import os
import json
from torch.utils.data import DataLoader
import torch.optim as optim
import torch.nn as nn
from torch.optim.lr_scheduler import ReduceLROnPlateau
from dataset import VentilatorDatasetMLP, VentilatorDatasetLSTM
from models.lstm import LSTM
from models.t... | sherif-abdelkarim/ventilator_pressure_prediction | test.py | test.py | py | 3,115 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
... |
74147629628 | # coding: utf-8
"""
Telegram bot utils.
@author: Sébastien Renard (sebastien.renard@digitalfox.org)
@license: AGPL v3 or newer (http://www.gnu.org/licenses/agpl-3.0.html)
"""
from asgiref.sync import SyncToAsync
from datetime import datetime, date
from django.db import close_old_connections
from django.db.models imp... | digitalfox/pydici | bot/utils.py | utils.py | py | 2,305 | python | en | code | 122 | github-code | 6 | [
{
"api_name": "asgiref.sync.SyncToAsync",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "django.db.close_old_connections",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "django.db.close_old_connections",
"line_number": 28,
"usage_type": "call"
},
... |
72589124347 | # -*- coding: utf-8 -*-
"""
The :program:`celery` umbrella command.
.. program:: celery
.. _preload-options:
Preload Options
---------------
These options are supported by all commands,
and usually parsed before command-specific arguments.
.. cmdoption:: -A, --app
app instance to use (e.g. ``module.attr_name... | DMills27/CMS-Django-Application | lib/python2.7/site-packages/celery-4.0.0rc3-py2.7.egg/celery/bin/celery.py | celery.py | py | 37,761 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numbers.Integral",
"line_number": 319,
"usage_type": "attribute"
},
{
"api_name": "celery.platforms.EX_OK",
"line_number": 321,
"usage_type": "name"
},
{
"api_name": "celery.platforms.EX_FAILURE",
"line_number": 321,
"usage_type": "name"
},
{
"api_n... |
73966289788 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
import requests
import re
import json
if __name__ == "__main__":
url = 'https://pic.qiushibaike.com/system/pictures/12433/124337776/medium/SKD4RPPD6AXG7D6Z.jpg'
#content返回的是二进制的图片数据
#text：字符串
#content：二进制
#json()：对象
img_data = requests.get(url=url).... | xjuun/Note | Python/爬虫/code/数据解析/0.图片爬取.py | 0.图片爬取.py | py | 481 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 14,
"usage_type": "call"
}
] |
11102815050 | from tqdm import tqdm
import wrsus.tools as tools
import wrsus.package_xml_iterator as pxi
import wrsus.database as db
import wrsus.datastructures as datastructures
import wrsus.tables as tables
import logging
import datetime
def get_catalog():
url = 'http://download.windowsupdate.com/microsoftupdate/v6/wsussca... | MartijnBraam/wrsus | wrsus/bootstrap.py | bootstrap.py | py | 4,634 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "logging.info",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "wrsus.tools.fetch",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "wrsus.tools",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "logging.info",
"line_n... |
17510481243 | '''
i/o
arr = [3, 9, 12, 20, 2]
^
target = 11
ans = [2, 9]
arr = [3, 9, 12, 20, 2]
target = 2
ans = null
constraints
-order doesn't matter
-actual values
psuedocode-
i, j: i < j => O(n^2)
method 1: sort the array -> O(n lg n) - time. vs O(n) ?
method 2: hash set
'''
from typing import List
de... | soji-omiwade/cs | dsa/before_rubrik/twosum_jp.py | twosum_jp.py | py | 740 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 23,
"usage_type": "name"
}
] |
30367930621 | from numpy import linspace, sin
from chaco.api import ArrayPlotData, HPlotContainer, Plot
from enable.api import ComponentEditor
from traits.api import HasTraits, Instance
from traitsui.api import Item, View
class ContainerExample(HasTraits):
plot = Instance(HPlotContainer)
traits_view = View(
Item... | enthought/chaco | examples/user_guide/h_plot_container.py | h_plot_container.py | py | 1,154 | python | en | code | 286 | github-code | 6 | [
{
"api_name": "traits.api.HasTraits",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "traits.api.Instance",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "chaco.api.HPlotContainer",
"line_number": 11,
"usage_type": "argument"
},
{
"api_name": "... |
2600747319 | import vnstock as vs
API_KEY="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"
model="text-davinci-003"
#ham lay ma ngan hang
def get_ticket():
cp=vs.listing_companies()
check='ngân hàng thương mại cổ phần'
ticket=[]
for n in range(len(cp)):
if check in cp.loc[n][2].lower():
tick... | vanvy102/code | Code-test/config.py | config.py | py | 1,194 | python | vi | code | 0 | github-code | 6 | [
{
"api_name": "vnstock.listing_companies",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "vnstock.listing_companies",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "vnstock.listing_companies",
"line_number": 22,
"usage_type": "call"
}
] |
74152934907 | import cv2
import numpy as np
import imutils
image = cv2.imread('images/XsSOP.jpg')
image = imutils.resize(image, width=800)
gray = cv2.cvtColor(image,cv2.COLOR_BGR2GRAY)
ret,thresh = cv2.threshold(gray,0,255,cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU)
kernel = np.ones((3,6), np.uint8)
img_dilation = cv2.dilate(thresh... | tomj0311/ai-ml-imaging | pre-processing/sgmnt.py | sgmnt.py | py | 889 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.imread",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "imutils.resize",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_nu... |
10664592532 | import configparser
import os
import time
from pyspark.sql import SparkSession
from pyspark.sql.functions import year, month, dayofmonth, hour, weekofyear, \
to_timestamp, dayofweek, monotonically_increasing_id
from pyspark.sql.types import StructType as R, StructField as Fld, \
DoubleType as Dbl, StringType as... | aandersland/udacity-data-engineering-nanodegree | data_lake_spark/etl.py | etl.py | py | 7,480 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql... |
21929015947 | # Requests Module
import requests
url = "https://api.github.com/events"
# gr = requests.get(url)
# # print(gr.text)
# print(gr.status_code)
# dr = requests.delete(url)
# # print(dr.status_code)
# # print(dr.text)
# hr = requests.head(url)
# # print(hr.headers)
# # print(hr.text)
# # print(hr.status_code)
# # par ... | MahbinAhmed/Learning | Python/Python Learning/Revision/Requests Module.py | Requests Module.py | py | 1,231 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.session",
"line_number": 54,
"usage_type": "call"
}
] |
5424572128 | #https://www.edureka.co/blog/web-scraping-with-python/
from selenium import webdriver
from bs4 import BeautifulSoup
import pandas as pd
import csv
from selenium.webdriver.chrome.service import Service
ser = Service("/usr/lib/chromium-browser/chromedriver")
driver = webdriver.Chrome(service=ser)
products=[] #List ... | Samsonasumu/web_scrapping | scrape.py | scrape.py | py | 1,226 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "selenium.webdriver.chrome.service.Service",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 13,
"usage_type": "name"
},
{
... |
19644775546 | from vplaned import Controller
from collections import Counter, defaultdict
def main():
dp_interface_stats = defaultdict(Counter)
dp_stats = defaultdict(dict)
with Controller() as controller:
for dp in controller.get_dataplanes():
with dp:
for key, value in dp.json_comm... | danos/vyatta-service-export | scripts/vyatta_flow_monitoring_show_dataplane.py | vyatta_flow_monitoring_show_dataplane.py | py | 1,708 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.defaultdict",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 5,
"usage_type": "argument"
},
{
"api_name": "collections.defaultdict",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "... |
29184874114 | import pandas as pd
import pyarrow as pa
import pyarrow.parquet as pq
import logging
class Converter:
def __init__(self, compression=None, log_level=logging.CRITICAL):
self.compression = compression
logging.basicConfig(format="", level=log_level)
def convert_parquet_to_csv_file(self, in_file... | zbokostya/coherent-training | Task1/converter.py | converter.py | py | 2,279 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.CRITICAL",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "logging.basicConfig",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.read_parquet",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "logging.... |
37786033395 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LogisticRegression
import joblib
#function load_data which randomly generates data
#from utils import load_data as pandas dataframe
#load_data as pandas datafra... | ShanthaKumarR/Diabetic-Retinopathy | data_analysis.py | data_analysis.py | py | 2,182 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 19,
"usage_type": "call"
},
{
"api_name... |
20060348387 | # coding:utf-8
import selenium.webdriver #模拟浏览器
import re
def gethtml(city,name):
url ="https://search.51job.com/list/"+city+",000000,0000,00,9,99,"+name+",2,1.html?lang=c&stype=&postchannel=0000&workyear=99&cotype=99°reefrom=99&jobterm=99&companysize=99&providesalary=99&lonlat=0%2C0&radius=-1&ord_field... | wanglishuai123/51job | 51job调用浏览器.py | 51job调用浏览器.py | py | 1,653 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "selenium.webdriver.webdriver.Chrome",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.webdriver",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "selenium.webdriver",
"line_number": 8,
"usage_type": "name"
},
{
... |
7090639814 | import openai
from flask import Flask, request, jsonify
openai.api_key = 'YOUR_OPENAI_API_KEY'
def interview_coach(question):
try:
prompt = f"You are my programming expert, your job is to come with a precise answer to the '{question}' in the below format:\n1. Answer to the {question}\n2. Real Life Ex... | Jenifer-TheCoder/AI-Interview-Coach-using-Python-and-OpenAI-API | AI-Interview-Coach.py | AI-Interview-Coach.py | py | 1,238 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "openai.api_key",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "openai.ChatCompletion.create",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "openai.ChatCompletion",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name... |
39757313863 | import tkinter
from tkinter import ttk
from tkinter import *
import matplotlib.pyplot as plt
import json
import http.client
from datetime import datetime
conn = http.client.HTTPSConnection("api.covid19api.com")
headers = {
'content-type': "application/json",
'authorization': "apikey your_token"
... | OgiBalboa/covid19monitoring | main.py | main.py | py | 4,424 | python | tr | code | 0 | github-code | 6 | [
{
"api_name": "http.client.client.HTTPSConnection",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "http.client.client",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "http.client",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "j... |
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