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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
36580274522 | from matplotlib.colors import ListedColormap
from sklearn.metrics import accuracy_score
import matplotlib.pyplot as plt
import numpy as np
def plot_decision_regions(X, y, classifier, test_idx = None, resolution = 0.02):
labels = np.unique(y)
markers = ('s', 'x', 'o', '^', 'v')
colors = ('red', 'blue', 'lig... | zackcd/Machine-Learning-Projects | utilities.py | utilities.py | py | 1,584 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.unique",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.colors.ListedColormap",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.meshgrid",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.ara... |
26950031561 | import os
import json
import mikochiku_alarm
from PyQt5.QtWidgets import QWidget, QMainWindow
from PyQt5.QtWidgets import QComboBox, QLabel, QFrame, QLineEdit, QPushButton, QCheckBox
from PyQt5.QtGui import QFont
from PyQt5.QtCore import Qt
import settings
class ConfigTab(QMainWindow):
def __init__(self, pare... | pusaitou/mikochiku_alarm | config_tab.py | config_tab.py | py | 4,043 | python | en | code | 17 | github-code | 1 | [
{
"api_name": "PyQt5.QtWidgets.QMainWindow",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QComboBox",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "json.... |
11483892621 | from sklearn.neighbors import KNeighborsClassifier
from sklearn.model_selection import train_test_split
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
df = pd.read_csv('/home/filip/Desktop/MachineLearning/dataset.csv')
#df.drop('date',axis=1)
y = df['deaths']
X = df[['cases','date']]
benchmark ... | filipboucek/MachineLearning-filip_boucek | MachineLearning-filip_boucek/machineLeanrning.py | machineLeanrning.py | py | 1,287 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sklearn.neighbors.KNeighborsClassifier",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 25,
"usage_type": "call"
... |
74843330274 | from django.http import HttpResponse
from django.shortcuts import render, redirect
from myapp.models import *
from django.contrib import messages
def show_about_page(request):
print("requesting show about page")
name="Channel name is Learn Code with Durgesh"
link="https://www.youtube.com/watch?v=697_0UGxD... | AbdulQadir8/Imagebazzar.github.io | imagebazar/views.py | views.py | py | 1,487 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.shortcuts.render",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 28,
"usage_type": "call"
},
{
"api_name"... |
30815615363 | from flask import abort
from sqlalchemy.exc import SQLAlchemyError
from app_client.app_client.models import Client, db
from app_client.app_client.handle_excep import valid_none
def list_client():
try:
cliente_list = Client.query.all()
except SQLAlchemyError as error:
abort(500, str(error.__d... | dilermando-lima/api-python-flask | app_client/app_client/cliente_views.py | cliente_views.py | py | 1,940 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "app_client.app_client.models.Client.query.all",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "app_client.app_client.models.Client.query",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "app_client.app_client.models.Client",
"line_number... |
40089766883 | from rest_framework import serializers
from s2016.models import Doctor, LANGUAGE_CHOICES, STYLE_CHOICES
class DoctorSerializer(serializers.Serializer):
pk = serializers.IntegerField(read_only=True)
name = serializers.CharField(max_length=100)
education = serializers.CharField(max_length=100)
specialty = serial... | ksj1993/s2016 | s2016/serializers.py | serializers.py | py | 995 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "rest_framework.serializers.Serializer",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "rest_framework.serializers.IntegerField",
"line_number": 5,
"usage_ty... |
24893230486 | # -*- coding: utf-8 -*-
import scrapy
from scrapy import Request
from lxml import etree
from WaiBaoSpider.utils.csvWriter import CSVDumper
from WaiBaoSpider.utils.base import unicode_body, deal_ntr
import os
class ChuzhouSpider(scrapy.Spider):
name = 'chuzhou'
base_url = "http://www.chuzhou.gov.cn/content/col... | jamesfyp/WaiBaoSpider | WaiBaoSpider/spiders/chuzhou.py | chuzhou.py | py | 3,885 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "scrapy.Spider",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numbe... |
41489742414 | # -*- coding:utf-8 -*-
# Author: hankcs
# Date: 2020-11-26 16:07
import glob
import json
import re
from urllib.error import HTTPError
import os
from hanlp_common.io import load_json
from elit.datasets.srl.ontonotes4 import ONTONOTES4_TASKS_HOME, ONTONOTES4_HOME
from elit.datasets.srl.ontonotes5._utils import convert_... | emorynlp/seq2seq-corenlp | elit/datasets/srl/ontonotes4/chinese.py | chinese.py | py | 7,307 | python | en | code | 13 | github-code | 1 | [
{
"api_name": "elit.datasets.srl.ontonotes4.ONTONOTES4_HOME",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "elit.datasets.srl.ontonotes4.ONTONOTES4_TASKS_HOME",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "re.compile",
"line_number": 29,
"usage_ty... |
24154787834 | revision = '044'
down_revision = '043'
from alembic import op
import sqlalchemy as sa
from sqlalchemy.sql.expression import table
MYSQL_ENGINE = 'InnoDB'
MYSQL_CHARSET = 'utf8'
def upgrade(active_plugins=None, options=None):
op.create_table(
'story_types',
sa.Column('id', sa.Integer(), nullable=... | pombredanne/storyboard | storyboard/db/migration/alembic_migrations/versions/044_story_types.py | 044_story_types.py | py | 1,855 | python | en | code | null | github-code | 1 | [
{
"api_name": "alembic.op.create_table",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integ... |
2736703863 | '''
https://www.codewars.com/kata/520b9d2ad5c005041100000f/python
'''
from curses.ascii import isalpha
def pig_it1(text:str):
content = []
txt_lst = text.split()
for txt in txt_lst:
if not isalpha(txt[0]):
content.append(txt)
continue
first_letter = txt[0]
... | SzybkiRabarbar/CodeWars | 2022-03/2022-03-29Simple Pig Latin.py | 2022-03-29Simple Pig Latin.py | py | 625 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "curses.ascii.isalpha",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "curses.ascii.isalpha",
"line_number": 22,
"usage_type": "call"
}
] |
3156473153 | #%%
import re
import pandas as pd
import nltk
import numpy as np
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.metrics.pairwise import cosine_similarity
import plotly.express as px
from termcolor import colored
from DataUtility impor... | porterbmoody/Wilford-Woodruff-Papers | deprecated/scripts/WoodruffPapers.py | WoodruffPapers.py | py | 8,270 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pandas.set_option",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pandas.options",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "pandas.options",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "nltk.downlo... |
28676451867 | from fastai.vision.all import *
from fastai.vision.all import cnn_learner #imports relevant libraries to create a CNN model
from fastaudio.core.all import *
from fastaudio.augment.all import *
from fastaudio.ci import skip_if_ci #imports relevant libraries to prepare audio data
from pandas.api.types impo... | kmcshane811/AutoML | autoMl/source(Commented code)/train_cnn.py | train_cnn.py | py | 2,983 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "json.dump",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "fastaudio.ci.skip_if_ci",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "json.load",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_nu... |
11336816782 | # -*- coding: utf-8 -*-
"""Test s3 class."""
import pytest
from unittest.mock import Mock, patch
from s3_client import s3_client
from conftest import BUCKET_NAME
def test_download_object(s3, s3_bucket, tmpdir):
"""Test object download."""
s3_client.log = Mock()
obj_name = "my_object"
obj_body = "Te... | thobiast/s3_client | tests/test_s3_class_download_object.py | test_s3_class_download_object.py | py | 1,302 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "s3_client.s3_client.log",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "s3_client.s3_client",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "unittest.mock.Mock",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "c... |
71238790753 | import numpy as np
import pandas as pd
import os
import matplotlib.pyplot as plt
import pandas as pd
from scipy.stats import hmean
from productiecapaciteit.src.capaciteit_strang import strangWeerstand
import numpy as np
from scipy.optimize import least_squares
from scipy import linalg
from dawacotools import get_daw_ts... | bdestombe/python-pwn-productiecapaciteit-infiltratiegebieden | productiecapaciteit/src/wvp_transient.py | wvp_transient.py | py | 4,472 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.path.join",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "productiecapaciteit.src.strang_analyse_fun2.get_config",
"line_number": 27,
"usage_type": "call"
},
{
"... |
1218277044 | """ Populate database command module """
import os
import json
from django.core.management.base import BaseCommand
from core.settings import BASE_DIR
from schemas.models.cities import City
from schemas.models.countries import Country
class Command(BaseCommand):
help = "Populate the databse with multiple count... | alexeipopov95/drf-practice | tools/management/commands/populate_database.py | populate_database.py | py | 1,906 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "core.settings.BASE_DIR",
"line_number": 16,
"usage_type": "argument"
},
{
"a... |
8120556036 | #!/usr/bin/env python
# coding: utf-8
# # FINAL PROJECT
#
# ### Pooja Agrawal
#
#
# In[1]:
get_ipython().run_line_magic('reset', '-f')
# In[2]:
# To supress warnings
import warnings
warnings.filterwarnings("ignore")
# In[4]:
from pandas import ExcelWriter
from pandas import ExcelFile
from pandas import Series
from p... | Poojaagwork/Bankruptcy-Data-Analysis-And-Prediction | Pooja_FINAL PROJECT320.py | Pooja_FINAL PROJECT320.py | py | 41,482 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pandas.read_table",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "pandas.read_table",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "pandas.re... |
43242842310 | # -*- coding: utf-8 -*-
"""
Resources for handball models.
TODO: Use ApiKeyAuthentication for models that need authentication. Implement custom authorization based on handball graph.
"""
from tastypie.resources import ModelResource, ALL_WITH_RELATIONS, ALL
from tastypie import fields
from handball.models impo... | Engaginglab/scoreit-handball | api.py | api.py | py | 20,144 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "tastypie.resources.ModelResource",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "tastypie.authorization.Authorization",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "tastypie.authentication.Authentication",
"line_number": 29,
"usage_... |
8015046067 | # freecodecamp Algorithmic Trading - Equal-Weight S&P 500
import numpy as np # one or two dimensional arrays/tensors
import pandas as pd # spreadsheets, tabular
import requests # html
import xlsxwriter
import math
stocks = pd.read_csv('sp_500_stocks.csv')
type(stocks) # print? tells what type
# store in s... | chrissmith10/projects-freecodecamp | algtradeqweightsp500.py | algtradeqweightsp500.py | py | 4,848 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "secrets.IEX_CLOUD_API_TOKEN",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pandas.DataFr... |
12539332954 | from django.contrib.auth.decorators import login_required
from django.shortcuts import render, redirect
from . import models, forms
def show_all_posts(request):
"""
This view will show all of the posts
"""
my_posts = models.Post.objects.all()
return render(
request=request,
contex... | javadkhd/JavadKhadem_HWs_M50 | message/blog/views.py | views.py | py | 884 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.shortcuts.render",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.redirect",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 35,
"usage_type": "call"
},
{
"api_nam... |
14592464595 | from rest_framework import serializers
from .models import RegisterInvitation
from django.core.mail import send_mail
from django.conf import settings
import datetime
class RegisterInvitationSerializer(serializers.ModelSerializer):
class Meta:
model = RegisterInvitation
fields = '__all__'
de... | benhchoi/coursemanager | coursemanager/invitations/serializers.py | serializers.py | py | 950 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "models.RegisterInvitation",
"line_number": 12,
"usage_type": "... |
25467462275 | __author__ = 'jcgregorio@google.com (Joe Gregorio)'
import unittest
from oauth2client import xsrfutil
# Jan 17 2008, 5:40PM
TEST_KEY = 'test key'
TEST_TIME = 1200609642081230
TEST_USER_ID_1 = 123832983
TEST_USER_ID_2 = 938297432
TEST_ACTION_ID_1 = 'some_action'
TEST_ACTION_ID_2 = 'some_other_action'
TEST_EXTRA_INFO_... | hanpfei/chromium-net | third_party/catapult/third_party/gsutil/third_party/oauth2client/tests/test_xsrfutil.py | test_xsrfutil.py | py | 3,932 | python | en | code | 289 | github-code | 1 | [
{
"api_name": "unittest.TestCase",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "oauth2client.xsrfutil.generate_token",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "oauth2client.xsrfutil",
"line_number": 23,
"usage_type": "name"
},
{
... |
2946911396 | # Авторизоваться на сайте https://fix-online.sbis.ru/
# Перейти в реестр Контакты
# Отправить сообщение самому себе
# Убедиться, что сообщение появилось в реестре
# Удалить это сообщение и убедиться, что удалили
# Для сдачи задания пришлите код и запись с экрана прохождения теста
from selenium import webdriver
from se... | AnnaBlem/AT_course | hw11/task_2.py | task_2.py | py | 3,467 | python | ru | code | 0 | github-code | 1 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "time.time",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "time.sleep",
... |
13496397373 | import logging
import logging.handlers
import sys
import datetime
LOGGING_LEVEL = logging.DEBUG
LOGGING_BASE = '/tmp'
SUMMON_API_HOST = 'api.summon.serialssolutions.com'
# Google credentials
GOOGLE_CRED_JSON_FILE = ''
# Summon Credentials
SUMMON_ACCESS_ID = ''
SUMMON_API_KEY = ''
supported_languages = {
'Afri... | summon/translated-search | translatedsearch/settings.py | settings.py | py | 2,042 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "logging.DEBUG",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "logging.Formatter",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "sys.argv",
... |
2269945821 | import os
import torchvision as tv
import numpy as np
from PIL import Image
def get_dataset(args, transform_train, transform_test):
cifar_train = Cifar100Train(args, train=True, transform=transform_train, download = args.download)
testset = tv.datasets.CIFAR100(root='./data', train=False, download=False, tran... | EricArazo/ImportanceSampling | dataset/cifar100_dataset.py | cifar100_dataset.py | py | 1,531 | python | en | code | 10 | github-code | 1 | [
{
"api_name": "torchvision.datasets.CIFAR100",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torchvision.datasets",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "torchvision.datasets",
"line_number": 12,
"usage_type": "attribute"
},
{
"a... |
31808609856 | # encoding: utf-8
import re
import time
import json
import datetime
from aliyun.log import *
from prometheus_client import CollectorRegistry, push_to_gateway, Gauge, write_to_textfile
endpoint = '' # 选择与上面步骤创建Project所属区域匹配的Endpoint
accessKeyId = '' # 使用你的阿里云访问密钥AccessKeyId
accessKey = '' # 使用你的阿里云访问密钥Acc... | amendge/OpsSricpts | getlogfromaliyun.py | getlogfromaliyun.py | py | 1,943 | python | en | code | 5 | github-code | 1 | [
{
"api_name": "datetime.datetime.today",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "datetime.timedelta",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "dat... |
22919970401 | import torch
import numpy as np
import torch.nn as nn
import os, gc
os.environ["CUDA_VISIBLE_DEVICES"] = '0'
import warnings
warnings.filterwarnings(action='ignore', category=DeprecationWarning)
warnings.simplefilter("ignore", UserWarning)
from VAD_module import VAD, Scheduler, add_loss
from utils import Speec... | Yifei-ZHAO96/STAM-pytorch | train_STAM.py | train_STAM.py | py | 9,476 | python | en | code | 7 | github-code | 1 | [
{
"api_name": "os.environ",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "warnings.filterwarnings",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "warnings.simplefilter",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torch.cuda... |
74574230112 | def deltat (popT,Tc,a):
delta = a*(popT**2)*(1 - (Tc/popT))
return delta
def deltaA (popA,Ac,k):
delta = k*(popA**2)*(1 - (Ac/popA))
return delta
def deltaV (popV,Vc,l):
delta = l*(popV**2)*(1 - (Vc/popV))
return delta
def Tf(popA,Ap,popT):
tubarao_fome=popA/Ap-popT
return tubarao_fome
def A... | Leobhering/projeto1-modsim | Projeto 1/projeto1.py | projeto1.py | py | 1,851 | python | pt | code | 0 | github-code | 1 | [
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 68,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.ylabel",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "mat... |
10651942871 | #imports
import json
import pandas as pd
from tqdm import *
import pickle
import networkx as nx
# Extraindo dados dos json e colocando em dataframe pandas
contador = 0
lista_slices = []
# Quantidade de slices que serão utilizados, 1 slice são 1000 playlists
pegar_quant_slices = 1
while(True):
with open("data\mpd... | Carlos1999/Network_Analysis_Spotify_Playlists | Cria_grafo.py | Cria_grafo.py | py | 2,942 | python | pt | code | 0 | github-code | 1 | [
{
"api_name": "json.load",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"line... |
1931622003 | """
This module contains a Flask application that uses OpenAI's GPT-4 model to chat with users.
"""
import os
import markdown
from flask import Flask, request, jsonify, render_template
from flask_wtf import FlaskForm
from wtforms import StringField, SubmitField
from flask_bootstrap import Bootstrap
from gunicorn.app.ba... | hooman130/gpt4-gui | main.py | main.py | py | 3,003 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "logging.basicConfig",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "gunicorn.app.base.BaseApplication",
"line_number": 17,
"usage_type": "name"
},
{
"api_name... |
6953518270 | import json
from django.shortcuts import render, get_object_or_404, render_to_response
from django.template import loader
from django.http import HttpResponse, HttpResponseRedirect
from .models import Libro
from .models import Autor, Editor
from .forms import AutorForm, EditorForm
from django.views.generic import List... | JokerBerlin/python | biblioteca/views.py | views.py | py | 7,569 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.shortcuts.render",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "models.Libro.objects.filter",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "models.Libro.objects",
"line_number": 29,
"usage_type": "attribute"
},
{
"api... |
6370764918 | import json
import tweepy
import socket
ACCESS_TOKEN = '311893922-jasoBxDymbqR4OxLBoDLw9Ab0pkPqUX2AVxFoYuy'
ACCESS_SECRET = 'wa87QvHapxNOh3AxDy5bPL1vh9GrfqDA5kKuasbn8unhl'
CONSUMER_KEY = 'UiDazJWIu3SvHSxltmO7mtN6b'
CONSUMER_SECRET = 'YDI2mHOyWXfjUupr1CpUNVpAD6oin6YQ2u03RpWUtPbFeaXn4H'
auth = tweepy.OAuthHandler(CON... | Sharayu2554/Big-Data | HW3/RoughWork/tweetApi.py | tweetApi.py | py | 1,319 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "tweepy.OAuthHandler",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "socket.socket",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_STR... |
8275354682 | import argparse
parser = argparse.ArgumentParser(
description="Save baselines and klambda conversions to CSV."
)
parser.add_argument("outfile", help="Destination to save CSV table.")
args = parser.parse_args()
import csv
import numpy as np
from mpol.constants import c_ms
header = ["baseline", "100 GHz (Band 3)... | shawn194/MPoL | docs/_static/baselines/src/print_conversions.py | print_conversions.py | py | 1,298 | python | en | code | null | github-code | 1 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "mpol.constants.c_ms",
... |
21232958424 | import numpy as np
import copy
import pickle
import torch
import torch.nn as nn
from torch.utils.data import TensorDataset, DataLoader
from sklearn.metrics import f1_score
import feature_engineer
from catboost import CatBoostClassifier
from xgboost import XGBClassifier
from mlp import MLP
class EnsembleRNN(nn.Modul... | hjc18/sml_project | ensemble.py | ensemble.py | py | 6,012 | python | en | code | 1 | github-code | 1 | [
{
"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.ModuleList",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"lin... |
42157120652 | # from django.http import JsonResponse, HttpResponse
from rest_framework.status import HTTP_201_CREATED, HTTP_404_NOT_FOUND, HTTP_400_BAD_REQUEST, HTTP_200_OK
from .serializers import *
from .models import *
from .exceptions import *
from rest_framework.response import Response
from rest_framework.views import APIVie... | Ellanity/sweets-from-all-misfortunes | server/delivery/views.py | views.py | py | 16,143 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "rest_framework.views.APIView",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "rest_framework.response.Response",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "rest_framework.response.Response",
"line_number": 30,
"usage_type": "call"
... |
15247482287 | import socketserver
import socket
import threading
import functools
from webserver.casseroleWebServerImpl import CasseroleWebServerImpl, dashboardWidgetList, WEB_ROOT
from utils.singleton import Singleton
# A threaded TCP server starts up new python threads for each client request, which allows
# complex reque... | RobotCasserole1736/firstRoboPy | webserver/webserver.py | webserver.py | py | 2,100 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "socketserver.ThreadingMixIn",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "socketserver.TCPServer",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "utils.singleton.Singleton",
"line_number": 14,
"usage_type": "name"
},
{... |
34872538868 | import numpy as np
from deep_sort.utils.parser import get_config
from deep_sort.deep_sort import DeepSort
class DeepSortTracker:
"""
DeepSort object tracker.
"""
def init(self, reid_model_path, max_dist=0.2, min_confidence=0.3, nms_max_overlap=1.0,
max_iou_distance=0.7, max_age=70, n_ini... | strikerPro818/strikerBot | Xavier_NX/personDetection.py | personDetection.py | py | 1,215 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "deep_sort.deep_sort.DeepSort",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 23,
"usage_type": "call"
}
] |
35916070388 | # -*- coding: utf-8 -*-
from typing import Dict, List, Tuple
import json
import requests
import re
from enum import Enum
from bs4 import BeautifulSoup
import configparser
import logging
import pickle
# 创建日志记录器
logger = logging.getLogger('my_logger')
logger.setLevel(logging.DEBUG)
file_logger = logging.getLogger('my... | supersonictan/astro_web | util.py | util.py | py | 9,394 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "logging.INFO",... |
9547326563 | import os
from sld.configs import Config
import numpy as np
from tqdm import tqdm
from sklearn.model_selection import train_test_split
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import LSTM, Dense
from tensorflow.keras.callbacks import TensorBoard
from tensorflow.keras.utils import to_c... | hyeonslove/SignLanguageDetection | utils/training.py | training.py | py | 1,604 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "os.path.isfile",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "utils.DatasetLoader.DatasetLoader",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sld.con... |
74962288673 | import os
import threading
import time
import tkinter.messagebox
from tkinter import *
from tkinter import filedialog
import pyglet
from tkinter import ttk
from ttkthemes import themed_tk as tk
from mutagen.mp3 import MP3
from pygame import mixer
class Media:
def musicPlayer(self, music_player, window):
... | Dkarya846/PaiBot | ExtraFiles/MediaPlayer.py | MediaPlayer.py | py | 6,714 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "tkinter.ttk.Label",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "tkinter.ttk",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "tkinter.filedialog.askopenfilename",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "tkin... |
20539075614 | """
Curve Fit example
@luis.fernandes
#Nov 20 2019
"""
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from scipy.optimize import curve_fit
def lorentzian(x, amplitude, x0, sigma, background):
# A lorentzian peak with:
# Constant Background : background
# Proportional t... | OSHI7/Learning1 | LM/fit.py | fit.py | py | 2,118 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.pi",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "scipy.optimize.curve_fit",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
... |
17341410745 | from flask import Flask,request
from flask.helpers import make_response
from flask.json import jsonify
import qrcode
import json
from PIL import Image
app = Flask(__name__)
app.config.from_pyfile("settings.py")
baseUrl = "http://10.0.2.2:5000"
@app.route("/home")
def home():
list = []
list.append(createPrevie... | cnatom/MeiTuanAndroidAppServer | app.py | app.py | py | 3,976 | python | en | code | 6 | github-code | 1 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.helpers.make_response",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "flask.json.jsonify",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "flask.helpe... |
6080209867 | import gym
from gym import spaces
import numpy as np
import matplotlib.pyplot as plt
from scipy.optimize import minimize
class PortfolioManagementEnv(gym.Env):
"""
Portfolio Management Env
"""
def __init__(self, seed=0):
# self.simulator = BlackScholes(num_stocks=3,
# ... | JinyangJiangAI/Quantile-based-Policy-Optimization | portfolio_management/envs/portfolio_management.py | portfolio_management.py | py | 9,366 | python | en | code | 6 | github-code | 1 | [
{
"api_name": "gym.Env",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": ... |
17811259423 | #!/usr/bin/env python3
import numpy as np
import h5py
import glob
import matplotlib
import matplotlib.pyplot as plt
import argparse
import csv
def get_dataset_keys(f):
keys = []
f.visit(lambda key : keys.append(key) if isinstance(f[key], h5py.Dataset) else None)
return keys
if __name__ == '__main__':
... | MichaelSt98/milupHPC | postprocessing/PlotBB.py | PlotBB.py | py | 2,384 | python | en | code | 6 | github-code | 1 | [
{
"api_name": "h5py.Dataset",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "h5py.File",
"... |
42769197778 | #!/usr/bin/python
# __author__ = 'jasonsheh'
# -*- coding:utf-8 -*-
import sys
import requests
import threading
import queue
import time
from database.database import Database
class Sendir:
def __init__(self, targets, id=''):
self.targets = targets
self.id = id
self.q = queue.Queue(0)
... | euphrat1ca/SiteScan | lib/sendir.py | sendir.py | py | 3,854 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "queue.Queue",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "requests.exceptions",
"line_number": 48,
"usage_type": "attribute"
},
{
"api_name": "requests.exceptions... |
43406778979 | from tkinter import *
from PIL import ImageTk,Image
root = Tk()
root.title("Learn to code")
root.iconbitmap(r'C:\Users\tomry\GraphicUserInterface\wifi.ico')
# Odkaz: https://www.youtube.com/watch?v=YXPyB4XeYLA&list=PLWKjhJtqVAbnqBxcdjVGgT3uVR10bzTEB&index=2
def open():
global my_img
top = Toplevel()
to... | BlackRou/GraphicUserInterface | base.py | base.py | py | 684 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "PIL.ImageTk.PhotoImage",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "PIL.ImageTk",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"li... |
19545085642 | import math
from functools import reduce
f = [x.rstrip('\n').split(',') for x in open('buses.txt').readlines()]
times = []
positions = []
total = 0
for y, x in enumerate(f[1]):
if x != 'x':
times.append(int(x))
positions.append(y)
current = 0
for pos in range(1, len(times)):
done = False
whi... | Patchkat/Advent-Of-Code-2020 | Day 13/AoC13B.py | AoC13B.py | py | 664 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "functools.reduce",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "math.gcd",
"line_number": 24,
"usage_type": "call"
}
] |
30211290727 | from __future__ import annotations
import logging
from ._apik import validate_api_key
from ._kafka import KafkaProducer
try:
KAFKA_PRODUCER = KafkaProducer()
except Exception as exc:
logging.exception(exc)
KAFKA_PRODUCER = None # type: ignore
def add_query_ingest_impl(api_key: str, body: bytes) -> boo... | bloomberg/datalake-query-ingester | src/bloomberg/datalake/datalakequeryingester/_request_handler.py | _request_handler.py | py | 493 | python | en | code | 7 | github-code | 1 | [
{
"api_name": "_kafka.KafkaProducer",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.exception",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "_apik.validate_api_key",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "logging.... |
71992212513 | """Support functions to write and read data."""
import os
from enum import Enum
from pathlib import Path
import yaml
from scm.plams import Molecule as PlamsMolecule
from scm.plams.interfaces.adfsuite.ams import AMSResults
from osp.core.cuds import Cuds
from osp.core.namespaces import crystallography, emmo
# from osp.... | simphony/reaxpro-wrappers | osp/tools/io_functions.py | io_functions.py | py | 27,357 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "enum.Enum",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "os.path.basename",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 54,
"usage_type": "attribute"
},
{
"api_name": "os.path.basename",
"line_... |
30051399636 | from django.test import TestCase
from datasets.models import RADataEntry
from datasets.serializers import RADataEntrySerializer
class RADataRecordSerializerTestCase(TestCase):
fixtures = ['set.json', 'record.json', 'entry.json', 'member.json']
serializer_class = RADataEntrySerializer
@classmethod
de... | quanttide/django-quanttide-data | example/datasets/tests/test_serializers_entry.py | test_serializers_entry.py | py | 989 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.test.TestCase",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "datasets.serializers.RADataEntrySerializer",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "datasets.models.RADataEntry.objects.get",
"line_number": 13,
"usage_type": ... |
46356953091 | from flask import Flask, render_template, request, redirect
from mysqlconnection import connectToMySQL
app = Flask(__name__)
mysql = connectToMySQL('friendsdb')
@app.route('/')
def index():
result = mysql.query_db("select * from players")
return render_template("index.html", entry = result)
if __name__=="__ma... | RamS2k/Python | Players and Slams/server.py | server.py | py | 350 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask.Flask",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "mysqlconnection.connectToMySQL",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 9,
"usage_type": "call"
}
] |
74583620193 | # -*- coding : utf-8 -*-
from dateutil.relativedelta import relativedelta
from datetime import datetime, timedelta
from odoo import fields, models, api, tools, _
from odoo.exceptions import Warning, UserError, ValidationError
class custom_partner(models.Model):
_inherit = "res.partner"
@api.multi
def _dr... | lawrence24/e_order | models/custom_partner.py | custom_partner.py | py | 11,031 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "odoo.models.Model",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "odoo.models",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "odoo.api.multi",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "odoo.api",
"... |
32964384592 | from ConfigSpace import Constant, UniformFloatHyperparameter, UniformIntegerHyperparameter, CategoricalHyperparameter, \
EqualsCondition
from skorch.callbacks import LRScheduler
from torch import nn
from torch.optim import AdamW, Adam
from .skorch_base import SkorchBaseModel
class MLP(nn.Module):
def __init... | automl/AutomlCup2023 | models/base_models/mlp_model.py | mlp_model.py | py | 4,522 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "torch.nn.Module",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "torch.nn.GELU",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line... |
74618324832 | """This submodule handles the cli-like utilities such as the parser
"""
import argparse
class RadolanParser(argparse.ArgumentParser):
def __init__(self):
super().__init__(
description="Training U-Net model for segmentation of RADOLAN precipitation images"
)
self.add_arguments... | Campostrini/dwd_dl | dwd_dl/cli.py | cli.py | py | 4,660 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 60,
"usage_type": "attribute"
}
] |
12036768402 | from django.shortcuts import render, redirect
from . import models
from . import forms
from django.contrib.auth.decorators import permission_required
# Create your views here.
def Product(request, _product_id):
category_parents = models.Category_parent.objects.order_by("order")
product = models.Product.object... | AndresGroselj/Ultrahardware | Ultrahardware/products/views.py | views.py | py | 4,306 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.shortcuts.render",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 37,
"usage_type": "call"
},
{
"api_name"... |
38861082488 | from loaders.dataloader_mnist import load_mnist
from models.model_vae import VariationalInference, VariationalAutoencoder
from models.distributions import ReparameterizedDiagonalGaussian
import torch
import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
sns.set_style("whitegrid")
### TEST DISTRIBU... | nikolasborrel/dlmusic | misc/tests_vae.py | tests_vae.py | py | 2,588 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "seaborn.set_style",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.ones",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.Size",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "models.distributions.Reparamet... |
11520253260 | import xml.etree.ElementTree
import xml_share as xshare
import os
class xml_share_repository:
"""
Stores the information read from xml for easy access.
"""
xml_shares = []
def built_up_repository(self, share_file=os.path.dirname(__file__) + '/shares.xml'):
"""
Fill the reposit... | postmanisonline/pyShares | xml_share_repository.py | xml_share_repository.py | py | 2,807 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.path.dirname",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "xml.etree.ElementTree.etree.ElementTree.parse",
"line_number": 16,
"usage_type": "call"
},
{
"api_na... |
22919346325 | ######################################################
# 8,330: Machine Learning (MiQEF)
# Assignment 3: kNN Algorithm
# Niklas Leander Kampe | 16-611-618
######################################################
# Utility Libraries
import math
import warnings
import numpy as np
import pandas as pd
from sklearn.model_sel... | nikampe/Machine_Learning | Assignment 3/kNN Algorithm - Niklas Kampe.py | kNN Algorithm - Niklas Kampe.py | py | 4,660 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "pandas.set_option",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "warnings.filterwarnings",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "sklearn.mod... |
37621288464 | def app():
import pandas as pd
from operator import itemgetter
import glob
import streamlit as st
pd.options.mode.chained_assignment = None
st.header('Master List of LPI')
files = glob.glob('*.xlsx')
appended_data = []
leagueList = []
for file in files:
leagueName = fil... | LouieR3/FantasyFootballApp | pages/10_LPI_Master_List.py | 10_LPI_Master_List.py | py | 1,670 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "pandas.options",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "streamlit.header",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.read_excel",
"... |
9391112971 | '''
Created on Feb 13, 2014
@author: theo
'''
import os
from django.core.management.base import BaseCommand, CommandError
from acacia.data.models import Project, ProjectLocatie, MeetLocatie, Datasource, Parameter, Series
from django.conf import settings
class Command(BaseCommand):
args = ''
help = 'Deletes un... | tkleinen/acaciadata | acacia/acacia/management/commands/cleanup.py | cleanup.py | py | 1,613 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "acacia.data.models.Project.objects.exclude",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "acacia.data.models.Project.objects",
"line_number": 17,
... |
8716232323 | from django.conf.urls import url
from . import views
from django.contrib.auth import views as auth_views
urlpatterns = [
url(r'^$', views.index, name="index"),
url(r'^login/$', views.authentication, name="authentication"),
url(r'^logout$', auth_views.logout, {'next_page': '/'}, name="logout", ),
url(... | chrisar12/Tesis_App | SituacionSalud/urls.py | urls.py | py | 1,458 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.conf.urls.url",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.c... |
2121705474 | import os
from datetime import date
import dateutil
from src.examples.program.traccar.config.config import Config
from src.examples.program.traccar.config.keys import Keys
class MediaManager:
_LOGGER = "LoggerFactory.getLogger(MediaManager.class)"
def __init__(self, config):
self._path = None
... | sofialucca/thesisResearch | src/examples/program/traccar/database/mediaManager.py | mediaManager.py | py | 1,536 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "src.examples.program.traccar.config.keys.Keys.MEDIA_PATH",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "src.examples.program.traccar.config.keys.Keys",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "os.O_PATH.get",
"line_number": 21... |
23671007568 | import numpy as np
import matplotlib.pyplot as plt
def test_polyreg_univariate():
'''
Test polynomial regression
'''
# load the data
filepath = "./test.txt"
df = pd.read_csv(filepath, header=None)
X = df[df.columns[:-1]]
y = df[df.columns[-1]]
# regression with degree = d
... | spapazov/regression | test/test_poly_reg.py | test_poly_reg.py | py | 1,163 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.linspace",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.max",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.min",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"li... |
41402696786 | from datetime import date
from typing import List, Optional
from pydantic import BaseModel
class UserBase(BaseModel):
email: str
username: str
tanggal_lahir: date
alamat: str
status: Optional[str]
no_telp: str
class UserUpdate(BaseModel):
email: Optional[str]
username: Optional[str]... | vaniaalya14/rpl | sql_app/schemas.py | schemas.py | py | 1,046 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pydantic.BaseModel",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "datetime.date",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "pydantic.BaseModel",
... |
5580413154 | from django.conf.urls import patterns, include, url
# Uncomment the next two lines to enable the admin:
from django.contrib import admin
from django.http import HttpResponseRedirect
admin.autodiscover()
urlpatterns = patterns('',
# Examples:
# url(r'^$', 'tsune.views.home', name='home'),
# url(r'^tsune/'... | DummyDivision/Tsune | tsune/urls.py | urls.py | py | 1,281 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "django.contrib.admin.autodiscover",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.conf.urls.patterns",
"line_number": 9,
"usage_type": "call"
},
{
"api... |
20048120941 | from django.db import models
from django.utils import timezone
from embed_video.fields import EmbedVideoField
from multiselectfield import MultiSelectField
CATEGORY_CHOICES =(
('action','ACTION'),
('biography','BIOGAPHY'),
('drama','DRAMA',),
('comedy','COMEDY'),
('romance','ROMANCE',),
)
LANGUAG... | sureshsaravananbabu/IMDB-clone | imdb/movie/models.py | models.py | py | 1,730 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.db.models.Model",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 27,
"usage_type": "call"
},
{
"api_name"... |
71188285794 | from pyspark import SparkContext
from pyspark.sql import SparkSession
class SparkSpawner:
@classmethod
def get_spark(self) -> SparkSession:
spark_builder = SparkSession.builder.appName('BigDW')\
.enableHiveSupport() \
.config("spark.jars.packages","io.delta:delta-core_2.11:0.5.... | FP-DataSolutions/DeltaWarehouse | src/utils/spark_spawner.py | spark_spawner.py | py | 689 | python | en | code | 5 | github-code | 1 | [
{
"api_name": "pyspark.sql.SparkSession.builder.appName",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql.SparkSession",
"line_number": 8,
"usage_type": "... |
31002519252 | import numpy as np
import pandas as pd
import pyarrow as pa
import pyarrow.parquet as pq
import os
import gc
array_length = 2**20
num_arrays = 10
filename = "test.parquet"
# Only run this if the data file hasn't been already generated
if(not os.path.isfile(filename)):
# Generate arrays and write them to a datafr... | Hugo-loio/lasap | test/parquet_read_bug.py | parquet_read_bug.py | py | 2,055 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.path.isfile",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "numpy.arange",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line... |
2775757377 | """
https://leetcode.com/problems/sort-array-by-parity/
"""
from typing import List
class Solution:
def sortArrayByParity(self, A: List[int]) -> List[int]:
write_p = 0
for i in range(len(A)):
if A[i] % 2 == 0:
A[i], A[write_p] = A[write_p], A[i]
write_... | alexparunov/leetcode_solutions | src/900-1000/_905_sort-array-by-parity.py | _905_sort-array-by-parity.py | py | 345 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "typing.List",
"line_number": 9,
"usage_type": "name"
}
] |
17575244199 | import requests
from bs4 import BeautifulSoup
import pandas as pd
import pathlib
import datetime
def fetch(which):
url = 'https://isin.twse.com.tw/isin/C_public.jsp'
param = dict(
exchange={'strMode':'2'},
otc={'strMode':'4'})
response = requests.get(url, param[which])
assert response.s... | you-ming-hu/Stock_Trend_Analysis | Stocky/Database/agent/overview/core.py | core.py | py | 4,298 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "requests.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "pandas.read_html",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
... |
21615992825 | from django.test import TestCase
from core.models import User, ActivityPeriod
from core.views import get_user_data_by_id, get_all_user_data, get_user_activity_details
class UserTestCase(TestCase):
def test_user(self):
with self.assertRaises(User.DoesNotExist):
user_1 = User.objects.get(id="W... | Mangy007/full-throttle-labs-api | core/tests.py | tests.py | py | 1,030 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.test.TestCase",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "core.models.User.DoesNotExist",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "core.models.User",
"line_number": 10,
"usage_type": "name"
},
{
"api_name"... |
70195295073 | import matplotlib.pyplot as plt
import numpy as np
from fluids.fittings import entrance_rounded, entrance_rounded_methods
rcs = np.linspace(0,0.4, 1000)
for method in entrance_rounded_methods:
Ks = [entrance_rounded(Di=1.0, rc=rc, method=method) for rc in rcs]
plt.plot(rcs, Ks, label=method)
plt.legend()
plt.... | CalebBell/fluids | docs/plots/entrance_rounded_plot.py | entrance_rounded_plot.py | py | 446 | python | en | code | 306 | github-code | 1 | [
{
"api_name": "numpy.linspace",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "fluids.fittings.entrance_rounded_methods",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "fluids.fittings.entrance_rounded",
"line_number": 8,
"usage_type": "call"
},
{
... |
30322019110 | import cv2
import os
for root, dirs, files in os.walk('pai/1/'):
# print(root)
# print(dirs)
# print(files)
if (files):
for item in files:
img = cv2.imread(os.path.join('pai/1', item))
rows, cols = img.shape[:2]
M = cv2.getRotationMatrix2D((cols / 2, rows / ... | huilizhou/Deeplearning_Python_DEMO | image_preprocess/pre_img_warp_20181017.py | pre_img_warp_20181017.py | py | 449 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.walk",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"... |
11510286902 | # Released under the MIT License. See LICENSE for details.
#
"""Functionality related to managing cloud based assets."""
from __future__ import annotations
from typing import TYPE_CHECKING, Annotated
from dataclasses import dataclass, field
from pathlib import Path
import threading
import urllib.request
import loggin... | efroemling/ballistica | src/assets/ba_data/python/babase/_assetmanager.py | _assetmanager.py | py | 7,331 | python | en | code | 468 | github-code | 1 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "efro.dataclassio.ioprepped",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": ... |
33593215042 | """
2005B DVD租赁
考虑如下的在线DVD租赁问题。顾客缴纳一定数量的月费成为会员，订购DVD租赁服务。会员对哪些DVD有兴趣，只要在线提交订单，网站就会通过快递的方式尽可能满足要求。会员提交的订单包括多张DVD，这些DVD是基于其偏爱程度排序的。网站会根据手头现有的DVD数量和会员的订单进行分发。每个会员每个月租赁次数不得超过2次，每次获得3张DVD。请考虑以下问题：
数据中会在测试点中给出。数据包括：网站n种DVD的现有张数和当前需要处理的m位会员的在线订单。 如何对这些DVD进行分配，才能使会员获得最大的满意度。
具体数据大家可以参考2005年全国大学生数学建模竞赛B题。
"""
import numpy as np... | MicroPlusone/SDU_mathmodeling_program | 山东大学 数学模型 程序汇总/2005年全国大学生数学建模竞赛B题 DVD租赁.py | 2005年全国大学生数学建模竞赛B题 DVD租赁.py | py | 1,302 | python | zh | code | 1 | github-code | 1 | [
{
"api_name": "numpy.zeros",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cvxpy.Variable",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "cvxpy.Maximize",
"line_num... |
25258516529 | from __future__ import absolute_import
from flask import current_app
from .builder import JenkinsBuilder
class JenkinsGenericBuilder(JenkinsBuilder):
def __init__(self, master_urls=None, *args, **kwargs):
self.script = kwargs.pop('script')
self.cluster = kwargs.pop('cluster')
self.path =... | harrisonfeng/changes | changes/backends/jenkins/generic_builder.py | generic_builder.py | py | 1,685 | python | en | code | null | github-code | 1 | [
{
"api_name": "builder.JenkinsBuilder",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "flask.current_app.config",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "flask.current_app",
"line_number": 18,
"usage_type": "name"
}
] |
30355678992 | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
from sklearn.metrics import mean_absolute_error,mean_squared_error
from keras.models import Model,Sequential
from keras.layers import Dense,Activation
df = pd.read_excel('AL_WIND_07_12.... | Jabor047/Deep-Learning-and-Machine-Learning-Competitions | Zindi Africa/Wind Power predictions/lineareg.py | lineareg.py | py | 1,220 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pandas.read_excel",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "keras.models.Sequential",
"line_number": 22,
"usage_type": "call"
},
{
... |
42739885025 | import argparse
from ccc_client.dcs.DcsRunner import DcsRunner
from ccc_client.utils import print_API_response
def run(args):
runner = DcsRunner(args.host, args.port, args.authToken)
for i in args.cccId:
r = runner.create_link(args.setId, i)
print_API_response(r)
parser = argparse.ArgumentP... | ohsu-comp-bio/ccc_client | ccc_client/dcs/cli/create_link.py | create_link.py | py | 659 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "ccc_client.dcs.DcsRunner.DcsRunner",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "ccc_client.utils.print_API_response",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 14,
"usage_type": "call"
... |
7961996580 | import math
import numpy as np
import pandas as pd
import random
import itertools as itr
import os
from pathlib import PurePath
from scipy.sparse import coo_matrix
from scipy.spatial import distance_matrix
import scipy.stats as sts
from sklearn.preprocessing import normalize
import time
import functools
import operat... | jb-chaudron/Neural-Gas-MCMC | fonction.py | fonction.py | py | 11,525 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.path.exists",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 57,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_nu... |
37083046284 | import scapy.all as sp
import datetime as dt
class TCPDumpHelper:
def __init__(self, p):
self.path = p
# with Jan 1 1970 as reference, the exp_day is the no of seconds till experiment day
self.exp_day = 1539388800
self.ist_hour = 5
self.ist_mins = 30
self.Mac_IP_Ma... | samvram/wmn_track3_helper | TCPDumpHelper.py | TCPDumpHelper.py | py | 6,699 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "scapy.all.PcapReader",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "scapy.all",
"line_number": 70,
"usage_type": "name"
},
{
"api_name": "datetime.datetime",
"line_number": 78,
"usage_type": "call"
},
{
"api_name": "scapy.all.IP",
"... |
955910411 | # coding: utf-8
"""
SnapTrade
Connect brokerage accounts to your app for live positions and trading
The version of the OpenAPI document: 1.0.0
Contact: api@snaptrade.com
Created by: https://snaptrade.com/
"""
from datetime import date, datetime # noqa: F401
import decimal # noqa: F401
import f... | passiv/snaptrade-sdks | sdks/python/snaptrade_client/model/status.py | status.py | py | 3,639 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "snaptrade_client.schemas.DictSchema",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "snaptrade_client.schemas",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "snaptrade_client.schemas.IntSchema",
"line_number": 40,
"usage_type": "... |
30294953 | from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart
import smtplib
import speech
import imaplib
fromadd = "mmanibalan2@gmail.com"
def send():
speech.voice("To whom")
a = speech.speech()
print("done")
speech.voice("mail")
body = speech.speech()
p... | manibalanM/manibalan-chan | mail.py | mail.py | py | 1,702 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "speech.voice",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "speech.speech",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "speech.voice",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "speech.speech",
"line_num... |
3662992089 | import requests
#设置代理
proxy = {
'http':'218.65.254.114',
'https':'175.148.72.52:1133'
}
url = 'https://httpbin.org/get'
response = requests.get(url,proxies=proxy)
print(response.status_code)
print(response.text)
#使用私密代理
# proxy = {
# 'http':''
# } | 1615961606/-test | 备份/1804爬虫/第一周/第四天/request_proxy.py | request_proxy.py | py | 279 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "requests.get",
"line_number": 8,
"usage_type": "call"
}
] |
70342956194 | import logging
import os
import termcolor
# Success log level
SUCCESS = 25
def configure_logging(level=logging.INFO, use_color=True):
"""
Configure te global logging settings.
"""
override_level = os.environ.get('S2EENV_LOG_LEVEL', None)
if override_level:
level = logging.getLevelName(o... | S2E/s2e-env | s2e_env/utils/log.py | log.py | py | 2,179 | python | en | code | 89 | github-code | 1 | [
{
"api_name": "logging.INFO",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "logging.getLevelName... |
31914585274 | from __future__ import absolute_import
import datetime
import json
import os
import requests
import simpy
from celery.utils.log import get_task_logger
from DLP.celery import app
from DLP.settings import BASE_DIR
from dlp.apis.api_weather import can_fly, ALLOW
from dlp.file_manager.file_manager import get_site_url, \... | xavics/DLP | dlp/tasks.py | tasks.py | py | 5,131 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "celery.utils.log.get_task_logger",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "DLP.settin... |
26535774253 | from PyQt5 import QtCore, QtGui, QtWidgets
from PyQt5.QtCore import QObject, pyqtSlot, QThread, pyqtSignal, QRectF, QRect, QPointF, QLocale
import sys
from collections import OrderedDict
import pyqtgraph as pg
import numpy as np
from easydict import EasyDict as edict
class Viewer2DBasic(QObject):
sig_double_click... | Attolab/FAB1_LIZARD | 220317_backup/pymodaq/daq_utils/plotting/viewer2D/viewer2d_basic.py | viewer2d_basic.py | py | 9,024 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "PyQt5.QtCore.QObject",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.pyqtSignal",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "... |
38120283463 | import numpy as np
import cv2
#calling and storing the file for face recognition
face_cascade=cv2.CascadeClassifier('cascades/data/haarcascade_frontalface_alt2.xml')
cap=cv2.VideoCapture(0)
while True:
ret,frame=cap.read()
gray=cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)#cascade works on gray
#fa... | Jindalkaran/OpenCv | e_face_detection.py | e_face_detection.py | py | 1,181 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "cv2.CascadeClassifier",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY"... |
13392283616 | import matplotlib.pyplot as plt
fig, axes = plt.subplots(nrows=12, ncols=3, figsize=(30, 100))
def getAvg(df):
res = pd.Series(np.zeros(128))
for x in df:
res += df[x]
res /= (len(list(dfH)) - 1)
return res
subject_nums = [
'04', '06', '07', '08', '09', '10', '11', '12', '13', '14', '15'... | ezhang7423/CS192 | vis.py | vis.py | py | 1,463 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 2,
"usage_type": "name"
}
] |
33751812156 | import sys
from os.path import dirname, abspath
sys.path.append(dirname(dirname(dirname(abspath(__file__)))))
import unittest
import thread
import beanstalkc
import simplejson
from scavengers.scavenger import Scavenger
from scavengers.scavenger_utils import OK_CODE, NOT_FOUND_ERROR_CODE
from scavengers.google_plus_sca... | andreisoare/droopy | scavengers/test/google_plus_test.py | google_plus_test.py | py | 1,751 | python | en | code | 0 | github-code | 1 | [
{
"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.abspath",
"lin... |
6021296254 | from typing import Set, List
import argparse
import itertools
import numpy as np
import cv2
import os
ALLOWED_EXT = [".jpg", ".JPG", ".png", ".PNG", ".jpeg", ".JPEG"]
AVAILABLE_ALGORITHMS = ["dhash", "humming"]
def read_args():
parser = argparse.ArgumentParser()
parser.add_argument("folder", help="Path to a... | EvgeniiTitov/detectors | scripts/duplicates_detector.py | duplicates_detector.py | py | 6,038 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.ndarray",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "cv2.cvtColor",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR... |
24099043056 | import requests
import json
url = 'https://api.privatbank.ua/p24api/pubinfo?json&exchange&coursid=5'
response = requests.get(url)
json_data = json.loads(response.text)
string_out = ''
for data in json_data:
buy = data['buy']
sale = data['sale']
string_out +=f'Покупка: {buy} - Продажа: {sale}\n'
print(string_out... | mikh-maksi/python-autocourse | pasing/parse_pb.py | parse_pb.py | py | 335 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "requests.get",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 7,
"usage_type": "call"
}
] |
8530202683 | import torch
import os
def save_tuple(state, next_state, action, reward, is_terminal, path, t):
s_prime_aux = state
s_prime_aux = s_prime_aux.detach().cpu().type(torch.uint8)
s_aux = next_state
s_aux = s_aux.detach().cpu().type(torch.uint8)
action_aux = action
action_aux = action_aux.... | riordan45/rl-edge-of-stability | utils/save_tuple.py | save_tuple.py | py | 854 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "torch.uint8",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "torch.uint8",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "torch.uint8",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "torch.tensor",
"... |
18973686604 | import os
import sys
from datetime import datetime
import logging
import shutil
from spotcam_utils.config_helper import ConfigHelper
class DirectoryHelper():
def __init__(self, CAMERA_NAME, DATE = datetime.now()):
self.CAMERA_NAME = CAMERA_NAME
self.DATE = DATE
self.HOME = os.environ['HOME... | andrewchiull/get-camera-video_POM | spotcam_utils/directory_helper.py | directory_helper.py | py | 1,625 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "datetime.datetime.now",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "os.environ",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
... |
32525669806 | import requests
from lxml import html
# 创建 session 对象。这个对象会保存所有的登录会话请求。
session_requests = requests.session()
# 提取在登录时所使用的 csrf 标记
login_url = "http://www.chechebijia.com/api/user/login/"
payload = {
"phone": "13811848104",
"password": "cnt82562288",
"operateType": 0
}
# 执行登录
result = session_requests.post(
log... | anjiayin/test | login.py | login.py | py | 880 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "requests.session",
"line_number": 4,
"usage_type": "call"
}
] |
6913184410 | from profile import Profile
from os import unlink
from io import StringIO
import pstats
def calibrate(n):
"""
https://docs.python.org/3/library/profile.html#calibration
"""
if n > 0:
pr = Profile()
magics = []
for i in range(n):
magics.append(pr.calibrate(10000))
... | vstinner/python-ptrace | ptrace/profiler.py | profiler.py | py | 1,232 | python | en | code | 172 | github-code | 1 | [
{
"api_name": "profile.Profile",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "profile.Profile",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pstats.Stats",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "io.StringIO",
"line_... |
11735270517 | import tensorflow.compat.v1 as tf
import posenet
import cv2
import keyboard
class Tracker():
def capture_pose_gen(self):
model = posenet.load_model_keras(101, model_dir='./converted_models/saved_model')
cap = cv2.VideoCapture(0)
cap.set(3, 1280)
cap.set(4, 720)
cv2.namedWin... | ImpulseFitnessCode/ExcerciseTracker | tracker.py | tracker.py | py | 1,449 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "posenet.load_model_keras",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.namedWindow",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.WINDOW_N... |
41489675162 | # -*- coding: utf-8 -*-
"""
Created on Tue Jun 9 09:54:35 2020
Calculating number of pixels for hull convex area
@author: Rafael Yassue
"""
import cv2
import numpy as np
import os as os
from skimage.morphology import convex_hull_image
import pandas as pd
import matplotlib.pyplot as plt
os.chdir("G:\\My Drive... | RafaelYassue/Root-phenotyping | python/HULL.py | HULL.py | py | 1,098 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "os.chdir",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 31,
... |
24349331321 | import api
import logbook
from webbrowser import open as web_open
logbook.RotatingFileHandler('my_search_api', level=logbook.TRACE).push_application()
logger = logbook.Logger("Main")
def main():
logger.info('Taking user input...')
user_input = input('Enter search criteria: ')
logger.info(f'Searching for {... | pgmilenkov/100daysofcode-with-python-course | days/43-45-search-api/my_search_api_43/program.py | program.py | py | 855 | python | en | code | null | github-code | 1 | [
{
"api_name": "logbook.RotatingFileHandler",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "logbook.TRACE",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "logbook.Logger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "api.search... |
75201389472 | #!/usr/bin/python3
# -*- coding:utf-8 -*-
# Created by Jianguo on 2017/10/23
__author__ = "Jianguo Jin (jinjianguosky@hotmail.com)"
"""
Description:
Person
字段
属性
方法
"""
from datetime import date, datetime
class Person:
def __init__(self, name, age, birthdate,... | skyaiolos/SeleniumWithPython | OOP/employee.py | employee.py | py | 1,134 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "datetime.date.today",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "datetime.date",
"line_number": 47,
"usage_type": "call"
}
] |
16144823426 | import unittest
import pygame
import database
from ui.renderer import Renderer
from sprites.ball import Ball
from sprites.paddle import Paddle
from eventhandler import EventHandler
from gameloop import GameLoop
class TestGameloop(unittest.TestCase):
def setUp(self):
DISPLAY_WIDTH = 800
DISPLAY_HEIG... | katajak/ot-harjoitustyo | src/tests/gameloop_test.py | gameloop_test.py | py | 2,393 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "unittest.TestCase",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "sp... |
35627807301 | # Файл с N последовательностью натуральных чисел, sep = ' '. Последовательность A[i] - 1 = A[i - 1]. Найти нехватающее число
# Пример 1 2 3 4 5 7 8 9 -> 6
from pathlib import Path
path = Path(r'task1File.txt')
with open(path, 'r') as data:
string = data.readline()
array = list(map(int, string.split()))
tmp = -1
fo... | RamkaTheRacist/python-RTR | PY_les5_s/task1.py | task1.py | py | 652 | python | ru | code | 0 | github-code | 1 | [
{
"api_name": "pathlib.Path",
"line_number": 4,
"usage_type": "call"
}
] |
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