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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
5271224866 | """Add titre_loi and urls_loi to Dossier
Revision ID: 4f517bb53d67
Revises: a3f51bad5419
Create Date: 2022-06-13 08:33:44.107959
"""
from alembic import op
import sqlalchemy as sa
from sqlalchemy_utils import JSONType
# revision identifiers, used by Alembic.
revision = "4f517bb53d67"
down_revision = "a3f51bad5419"
... | administration-solrep/signale | zam-repondeur-1.17.7/db_migrations/versions/4f517bb53d67_add_titre_loi_and_urls_loi_to_dossier.py | 4f517bb53d67_add_titre_loi_and_urls_loi_to_dossier.py | py | 642 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "alembic.op.add_column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Text",
... |
11267963765 | # -*- coding: utf-8 -*-
"""
Created on Sun Oct 17 11:13:55 2021
@author: Asus
"""
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import torchvision
from torch.utils.data import Dataset, DataLoader
from torchvision import transforms, utils
import numpy as n... | shubhamsarda00/COL341-Machine-Learning | Assignment2.2/src/test_c.py | test_c.py | py | 4,252 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "pandas.read_csv",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 51,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
... |
3613353568 | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
with open('requirements.txt') as f:
install_requires = f.read().splitlines()
setuptools.setup(
name="robusta_stats",
version="0.0.4",
author="Eitan Hemed",
author_email="Eitan.Hemed@gmail.com",
description="... | EitanHemed/robusta | setup.py | setup.py | py | 870 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "setuptools.setup",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 26,
"usage_type": "call"
}
] |
21997703956 | ################################################################################
# TRAVELING SALESMAN PROBLEM - LOGGING FUNCTIONS
# Olga Koldachenko okold525@mtroyal.ca
# COMP 5690 Senior Computer Science Project
# Mount Royal University Winter 2022
#
# This file holds several helper functio... | okold/stake | log.py | log.py | py | 2,464 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "datetime.datetime.now",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "datetim... |
1562311963 | import os
import sys
import glob
import numpy as np
import yaml
from data_analysis import gaze
from data_analysis import visualization
from data_analysis.visualization.gaze_quality import plot_gaze_accuracy_heatmap, plot_gaze_accuracy_contour
# Directory for the recording sessions
parameters_fpath = "/home/kamran/Code... | vedb/data_analysis | demos/test_cumulative_gaze_accuracy.py | test_cumulative_gaze_accuracy.py | py | 3,147 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "yaml.safe_load",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.vstack",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "numpy.vstack",
"line_numbe... |
17760173943 | from flask import Flask
from flask import make_response, url_for, redirect
from flask import render_template
import json
import os
PROJECT_ROOT = os.path.realpath(os.path.dirname(__file__))
data_path = os.path.join(PROJECT_ROOT, 'data', 'data.json')
img_dir_path = 'static/img/'
data = json.loads( open(data_path... | bethirahul/Portfolio-Webpage-AWS | flask_app2.py | flask_app2.py | py | 1,974 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.realpath",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"lin... |
37044480063 | import numpy as np
import matplotlib.pyplot as plt
from DRG import FicheroMatriz, CalcularLongitud
from random import randrange
listaReacciones, listaEFMs = FicheroMatriz("EFMsEColi.txt")
proporcionesTotales = {}
for i in listaReacciones:
proporcionesTotales[i] = 0
for i in EFMsEColi:
for ind, j in enumerate(... | Guillamoto/TFM-tools | LongitudesProporciones.py | LongitudesProporciones.py | py | 848 | python | es | code | 0 | github-code | 21 | [
{
"api_name": "DRG.FicheroMatriz",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "random.randrange",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "DRG.CalcularLongitud",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
... |
36006110471 | #!/usr/bin/env python3
# CSDN刷访客
# Author: 夏日
# 分为指定url和遍历所有文章两种模式
# github: https://github.com/zss192/CTF-python-script/blob/master/csdn%E5%88%B7%E8%AE%BF%E5%AE%A2.py
import re
import requests
import time
import random
user_agent_list=[
'Mozilla/5.0(compatible;MSIE9.0;WindowsNT6.1;Trident/5.0)',
... | zss192/CTF-python-script | test.py | test.py | py | 3,209 | python | en | code | 5 | github-code | 21 | [
{
"api_name": "random.choice",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "requests.Session",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_n... |
70039940854 | from reportlab.pdfbase import pdfmetrics
from pprint import pprint
import io
widths = {}
ratios = []
for i in range(1, 100):
width = pdfmetrics.stringWidth("Preliminary", "Courier", i)
widths[i] = width
ratios.append(width / i)
# pprint(ratios)
pprint(widths) | kForth/PdfMarker | test.py | test.py | py | 275 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "reportlab.pdfbase.pdfmetrics.stringWidth",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "reportlab.pdfbase.pdfmetrics",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "pprint.pprint",
"line_number": 15,
"usage_type": "call"
}
] |
31670672267 | from att_speech.modules.hooks.hook import TrainingLoopHook
import torch
class ConstantGradientNoise(TrainingLoopHook):
def __init__(self, gradient_noise, **kwargs):
self.gradient_noise = gradient_noise
super(ConstantGradientNoise, self).__init__(**kwargs)
def post_backward(self, model, optimi... | chorowski-lab/pytorch-asr | att_speech/modules/hooks/gradient_noise.py | gradient_noise.py | py | 637 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "att_speech.modules.hooks.hook.TrainingLoopHook",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "torch.randn_like",
"line_number": 16,
"usage_type": "call"
}
] |
10366273076 | from django.urls import path
# Views
from apps.users import views
app_name = "users"
urlpatterns = [
path(
"login/",
views.LoginView.as_view(),
name="login"
),
path(
"logout/",
views.LogoutView.as_view(),
name="logout"
),
path(
"create/",
... | JCristhian96/docker-sistemsb | sistema/apps/users/urls.py | urls.py | py | 493 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "apps.users.views.LoginView.as_view",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "apps.users.views.LoginView",
"line_number": 10,
"usage_type": "attribute"
},
{
... |
24705143314 | from django.http import request
from django.shortcuts import redirect, render
from shop.forms.users.signups import ImageUserForm, SignupForm
from django.views.decorators.csrf import csrf_exempt
from shop.models.ImageUser import ImageUser
@csrf_exempt
def about(request):
form_image = ImageUserForm()
if reques... | WeerachonYN/Workshop1 | shop/views/about.py | about.py | py | 1,129 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "shop.forms.users.signups.ImageUserForm",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.http.request.method",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "django.http.request",
"line_number": 10,
"usage_type": "name"
},
... |
74029064371 | from random import randint
from sqlalchemy.exc import IntegrityError
from faker import Faker
from . import db
from .task.models import Task
from datetime import datetime
def tasks(count=30):
fake = Faker()
i = 0
while i < count:
task = Task(title=fake.text(),
description=fake.text(),
... | dima-yurchuk/project_web_flask | app/fake.py | fake.py | py | 523 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "faker.Faker",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "task.models",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "task.models.Task",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "task.models",
"line_numb... |
70138449652 | #!/usr/bin/python3
import argparse
import sys
def get_args():
parser = argparse.ArgumentParser(
description="convert alphabetical column names to numbers"
)
parser.add_argument(
"colname", type=str, help="alphabetical letters to convert into numbers"
)
return parser.parse_args()
... | kkirino/commands | letters2int.py | letters2int.py | py | 950 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "sys.stderr",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_... |
4846406616 | import json
### Classes
## Team class
class Team:
def __init__(self, name, hthDict):
self.name = name
self.headToHeadDict = hthDict
## League class (collection of teams)
class League:
def __init__(self, teams):
self.teams = teams
self.matrix = Matrix(self.getTeamNamesList())
... | SoslyLW/SportsReferenceInternship2023 | main.py | main.py | py | 2,833 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "json.load",
"line_number": 86,
"usage_type": "call"
}
] |
70471099893 | #%%
from sklearn import datasets
import matplotlib.pyplot as plt
import numpy as np
# AgglomerativeClustering(병합군집) : 시작할 때 각 포인트를 하나의 클러스터로 지정하고, 그다음 종료 조건을 만족할 때까지 가장 비슷한 두 클러스터를 합침
from sklearn.cluster import KMeans, AgglomerativeClustering, k_means
n=500
x1, y1 = datasets.make_blobs(n_samples=n, random_state=8)
x... | jeewonkimm2/scikitlearn_review | Data_Mining/Clustering2.py | Clustering2.py | py | 2,490 | python | ko | code | 0 | github-code | 21 | [
{
"api_name": "sklearn.datasets.make_blobs",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "sklearn.datasets.make_blobs",
"line_number": 11,
"usage_type": "call"
},
{
"api_name... |
20550849801 | import matplotlib.pyplot as plt
point1 = (4, 1)
point2 = (3, 4)
fig, ax = plt.subplots(1, 1)
fig.set_size_inches(5,5)
ax.plot(point1[0], point1[1], color='green', marker='^',linestyle='None', label='point1')
ax.plot(point2[0], point2[1], color='red', marker='o', linestyle='None',label='point2')
ax.set_xlim([0, 5])
a... | spatialthoughts/courses | code/python_dataviz/solutions/01_matplotlib_basics.py | 01_matplotlib_basics.py | py | 363 | python | en | code | 38 | github-code | 21 | [
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.show",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "mat... |
4771167232 | from src.database.repository.news_repository import NewsRepository
from src.schema.news import NewsInsert, NewsCustom
from datetime import datetime
class NewsService:
def __init__(self):
self.news_repository = NewsRepository()
def create_news(self, news):
self.news_repository.create_document(... | octsobral/news-portal-backend | src/service/news_service.py | news_service.py | py | 2,349 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "src.database.repository.news_repository.NewsRepository",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "src.schema.news.NewsCustom",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "src.schema.news.NewsCustom",
"line_number": 64,
"usage_t... |
18742354728 | #!/usr/bin/env python3
import numpy as np
import matplotlib
# Force matplotlib to not use any X Windows backend (must be called befor importing pyplot)
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import scipy.optimize as optimize
from sigmoid import sigmoid
from plotData import plotData
from costFunction im... | altermarkive/machine-learning-course-by-stanford-university | machine-learning-ex2/ex2/ex2.py | ex2.py | py | 5,240 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "matplotlib.use",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sigmoid.sigmoid",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.dot",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.any",
"line_number"... |
9146847835 | from enum import Enum
import re
import requests
import dblp.config as config
import dblp.dblp_data as dblp_data
class BibFormat(Enum):
"""
Format of DBLP bibtex.
"""
condensed = 'condensed'
standard = 'standard'
crossref = 'crossref'
def bib_url(self):
"""
Get identifier... | k4ntz/latex_utils | dblp/dblp_api.py | dblp_api.py | py | 2,247 | python | en | code | 5 | github-code | 21 | [
{
"api_name": "enum.Enum",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "re.search",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "dblp.config.DBLP_PUBLICATION_BIBTEX.f... |
13065042654 | """
paper: T-Net: Deep Stacked Scale-Iteration Network for Image Dehazing
file: create_trainlist.py
about: create a list for the training/testing images
author: Lirong Zheng
date: 01/01/21
"""
import os
import argparse
parser = argparse.ArgumentParser(description='Parameters for create list')
parser.add_argument('-f... | Dilizlr/T-Net | utils/create_trainlist.py | create_trainlist.py | py | 885 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 22,
"usage_type": "call"
}
] |
33005977596 | import pandas as pd
import datetime as dt
from airflow import DAG
from airflow.operators.bash_operator import BashOperator
from airflow.operators.python_operator import PythonOperator
bashCommand = "curl https://archive.ics.uci.edu/ml/machine-learning-databases/00382/c2k_data_comma.csv"
dataCleaned = None
dataConverte... | israelzuniga/effective-bassoon | dags/dag-Jaime.py | dag-Jaime.py | py | 1,059 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
... |
10212937698 | """
@Author : Wilson79
@Date : 2020年2月9日 星期日 12:41:38
"""
# 导入词云制作库wordcloud和中文分词库jieba
import jieba
import wordcloud
w = wordcloud.WordCloud(width=1500,
height=1100,
background_color='white',
font_path="/System/Library/fonts/PingFang.ttc")
# ... | wsh3776/wordcloud | code/code3_jieba.py | code3_jieba.py | py | 934 | python | zh | code | 0 | github-code | 21 | [
{
"api_name": "wordcloud.WordCloud",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "jieba.lcut",
"line_number": 17,
"usage_type": "call"
}
] |
6422076806 | import sys
import re
import mysql.connector
from antlr4 import *
from antlr4.InputStream import InputStream
from lib.ClusterConfigGrammar.ClusterConfigLexer import ClusterConfigLexer
from lib.ClusterConfigGrammar.ClusterConfigParser import ClusterConfigParser
from lib.ClusterConfigGrammar.ClusterConfigListener impor... | gonzoKhan/ics421-Naive-SQL-Processing-for-Parallel-DBMS | loadCSV.py | loadCSV.py | py | 11,441 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "lib.ClusterConfigGrammar.ClusterConfigLexer.ClusterConfigLexer",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "lib.ClusterConfigGrammar.ClusterConfigParser.ClusterConfigParser",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "lib.ClusterConfig... |
29316505405 | import pytest
from src.problems.average_of_levels_in_binary_tree import Solution
from src.utils.tree_node import BTreeNode
@pytest.mark.parametrize(
"root,expected",
[
(BTreeNode(3, left=BTreeNode(9),
right=BTreeNode(
20, left=BTreeNode(15), right=BTreeNode(7)... | yyunikov/coding-python | tests/problems/average_of_levels_in_binary_tree_test.py | average_of_levels_in_binary_tree_test.py | py | 667 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "src.problems.average_of_levels_in_binary_tree.Solution",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 7,
"usage_type": "attribute"
... |
6090512874 | import numpy as np
import matplotlib.pyplot as plt
import sys
"""
input: x is a boolean list. Example [1,0,1,0,1]
ouput: It converts the boolean list to integer and square it.
input=[0,0,1,0,1] converted to integer -> 5
output=square(5)->25
"""
def f1(x):
#convert binary to integer
res = 0
for ele in... | ranjanZ/Ev_computing | function1.py | function1.py | py | 4,594 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.array",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.random.randint",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.choic... |
43448616770 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import requests
import re
url='https://movie.douban.com/top250'
dic = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36'
}
rec = requests.get(url,headers=dic)
rec_text = rec.text
obj... | wdnmdgdx741/niubi_toolset | 爬虫/取HTMl文件/requests1.py | requests1.py | py | 703 | python | en | code | 5 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "re.S",
"line_number": 18,
"usage_type": "attribute"
}
] |
73042359413 | import discord
import urllib.request
import random
import os
import json
import shutil
import asyncio
import sys
import chanrestrict
LATEX_TEMPLATE="template.tex"
HELP_MESSAGE = r"""
Hello! I'm the *LaTeX* math bot!
You can type mathematical *LaTeX* into the chat and I'll automatically render it!
Simply use the `!... | DXsmiley/LatexBot | latexbot.py | latexbot.py | py | 4,638 | python | en | code | 34 | github-code | 21 | [
{
"api_name": "discord.Client",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "json.loads",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "chanrestrict.setup",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
... |
1846343852 | import os
import cv2
import k4a
import numpy as np
import torch
import model.transforms as transforms
from config import CONFIG
from model.model_cnn import CNNClassifier
device = k4a.Device.open()
if device is None:
exit(-1)
device_config = k4a.DeviceConfiguration(
color_format=k4a.EImageFormat.COLOR_BGRA32... | GiveMeTheReason/gestures-navigation | kinect/tst_camera.py | tst_camera.py | py | 4,314 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "k4a.Device.open",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "k4a.Device",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "k4a.DeviceConfiguration",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "k4a.EImageFor... |
17180871680 | import sys
from serial import SerialException
from serial.tools.list_ports import comports
from PyQt5.QtGui import QTextCursor
from PyQt5.QtCore import pyqtSignal
from PyQt5.QtWidgets import QWidget, QPlainTextEdit, QApplication, QLineEdit, QPushButton, \
QHBoxLayout, QVBoxLayout, QLabel, QComboBox, QErrorMessage
... | Abestanis/BalloonLaserPointing | controller/ui.py | ui.py | py | 7,105 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "PyQt5.QtWidgets.QApplication",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.pyqtSignal",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "Py... |
5122602364 | from prefect import flow, task, get_run_logger
from prefect_pokemon.credentials import PokemonCredentials
@task(retries=3)
def get_pokemon(credentials: PokemonCredentials, name: str):
logger = get_run_logger()
client = credentials.get_client()
logger.info(f"Fetching info for Pokemon {name}")
return ... | desertaxle/prefect-pokemon | prefect_pokemon/pokemon.py | pokemon.py | py | 1,304 | python | en | code | 5 | github-code | 21 | [
{
"api_name": "prefect_pokemon.credentials.PokemonCredentials",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "prefect.get_run_logger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "prefect.task",
"line_number": 6,
"usage_type": "call"
},
{
"a... |
26969827505 | from collections import defaultdict
class Solution:
def firstUniqChar(self, s: str) -> int:
ccs = defaultdict(int)
fi = -1
for ch in s:
ccs[ch] += 1
for i, ch in enumerate(s):
if ccs[ch] == 1:
return i
return -1
| hckhilliam/programming | LeetCode/31DayChallengeMay/5firstUniqueChar.py | 5firstUniqueChar.py | py | 297 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.defaultdict",
"line_number": 5,
"usage_type": "call"
}
] |
71259883572 | import asyncio
import websockets
def abc():
asyncio.wait([user.send(message) for user in USERS])
async def client_hello():
uri = "ws://localhost:8765"
async with websockets.connect(uri) as websocket:
name = input("What's your name? ")
await websocket.send(name)
print(f"> {name}... | binhgo/python101 | websocket-client.py | websocket-client.py | py | 533 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "asyncio.wait",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "websockets.connect",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "asyncio.get_event_loop",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "asyncio.wait",
... |
15570887852 | # Import necessary modules from Keras
from tensorflow.keras.models import Model
from tensorflow.keras.layers import Input, Conv2D, MaxPooling2D, AveragePooling2D, Conv2DTranspose
from tensorflow.keras.layers import Concatenate, BatchNormalization, Dropout, Cropping2D
from tensorflow import keras
from keras.layers impor... | cleveryangcong/Bachelor_Thesis | src/models/U_net/unet.py | unet.py | py | 16,302 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "xarray.set_options",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "warnings.simplefilter",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.layers.Input",
"line_number": 109,
"usage_type": "call"
},
{
"api_name"... |
72135558132 | from flask import Blueprint, jsonify, request
import json, logging, logging.config
import random
import liir_image_search.server.text2image.dress_demo.demo_code.txt2img.txt2img as txt2img
with open("logging.json", "r") as logging_file:
logging.config.dictConfig(json.load(logging_file))
logger = logging.getLogger(... | anirudhtomer/NLPImageSearch | liir_image_search/server/search_service.py | search_service.py | py | 2,953 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.config.dictConfig",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.config",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.getLogge... |
6557426758 | import asyncio
import time
import base64
from collections import namedtuple
from aiohttp import ClientResponseError
from salvo.util import resolve
import molotov
from molotov.run import run
from molotov import util, api
@molotov.setup()
async def init_worker(worker_num, args):
headers = {}
content_type = m... | tarekziade/salvo | salvo/scenario.py | scenario.py | py | 4,172 | python | en | code | 211 | github-code | 21 | [
{
"api_name": "molotov.get_var",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "molotov.get_var",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "base64.b64encode",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "molotov.setup",
... |
28756011620 | import csv
import plotly.express as px
import numpy as np
def showScatterChart():
with open('C:/Users/C/OneDrive/Desktop/Coding/python/Correlation/StudentMarksVsDaysPresent.csv') as f:
data = csv.DictReader(f)
scatterPlot = px.scatter(data, x="DaysPresent", y="Marks(%)", title="Marks VS. Day... | CaitlynP123/Correlation | correlation-Students.py | correlation-Students.py | py | 1,120 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "csv.DictReader",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "plotly.express.scatter",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "plotly.express",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "csv.DictReader",
... |
12012171187 | from rest_framework.viewsets import GenericViewSet,ViewSet,ModelViewSet
from rest_framework.decorators import action
from rest_framework.response import Response
from rest_framework import status
from django_filters.rest_framework import DjangoFilterBackend
import requests
from .models import User, University,Departmen... | PeaceInSpace/smart-gnu | smartGNU/smart_gnu/views.py | views.py | py | 2,695 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "rest_framework.viewsets.GenericViewSet",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "models.User.objects.all",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "models.User.objects",
"line_number": 13,
"usage_type": "attribute"
},
... |
9840084872 | from datetime import datetime
class GuardRecord:
def __init__(self, line):
date_str = ' '.join(line.split()[0:2])
self.datetime = datetime.strptime(date_str, '[%Y-%m-%d %H:%M]')
self.observation_str = ' '.join(line.split()[2:])
def __lt__(self, other):
return self.datetime < ... | jeresch/advent-2018 | solutions/sol4p1.py | sol4p1.py | py | 1,627 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 7,
"usage_type": "name"
}
] |
5227563388 | from typing import Dict, List
import torch.nn as nn
import torch.nn.functional as F
def make_iac_model(config: Dict, agents_id: List[str]):
models = {}
for id in agents_id:
critic_net = ICritic(
input_space=config["local_state"][id],
output_space=config["local_action"][id],
... | AmoyZhp/traffic_light_control | traffic_light_control/controler/model/iac.py | iac.py | py | 1,686 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.Dict",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "torch.nn.Module",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_numbe... |
72763454452 | import os
import html
import hashlib
import urllib
import base64
from w3lib.html import replace_entities
from django.utils import timezone
from django.utils.timezone import make_aware, is_naive
from django.core.cache import cache
from .constants import MiscConstants
class DecodeResult:
def __init__(self, encoded, t... | Cvolton/GDHistory | history/utils.py | utils.py | py | 9,036 | python | en | code | 17 | github-code | 21 | [
{
"api_name": "base64.b64encode",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "base64.b64decode",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "w3lib.html.replace_entities",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "os.gete... |
2714952747 | import glob
import logging
import os
import re
from typing import TYPE_CHECKING
import numpy as np
import pandas as pd
from . import globalvar as gl
from .pandas_meterdataclass_extensions import OutAccessor
from .timer import Timer
if TYPE_CHECKING: # Using for visual studio code type hint.
class DataFrame(pd.... | roy1648/AMI_data_analyze_estimate | mylib/module_InputDataV1.py | module_InputDataV1.py | py | 10,856 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "pandas.DataFrame",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "pandas_meterdataclass_extensions.OutAccessor",
"line_number": 17,
"usage_type": "name"
},
... |
71235015092 | #!flask/bin/python
from app import app
from flask import Flask
from flask import request
from flask import render_template
from flask import session
from flask import redirect
from flask import url_for
from flask import escape
import pickle
from flask import jsonify
from urlparse import urlparse, urljoin
from flask.ext... | asclab/cbp-lims | app/view.py | view.py | py | 4,420 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pickle.load",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "psycopg2.connect",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "flask.session",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "flask.request.args.get",
... |
70685924853 | import os
from subprocess import call
import json
import sys
import logging
from lxml import etree
def create():
if (len(sys.argv) == 3):
num_serv = int(sys.argv[2])
else:
num_serv = 2
if ((num_serv < 1) or (num_serv > 5)):
raise Exception("formato incorrecto")
call(["cat", ">>", "gestiona-pc1.json"])
... | avillaseca01/CDPSPC1G31 | gestiona-pc1.py | gestiona-pc1.py | py | 17,615 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.argv",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "subprocess.call",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_num... |
36614066435 | import numpy as np
import pandas as pd
from sklearn.decomposition import PCA
import matplotlib.pyplot as plt
def dist_mat(myList):
l = myList.shape[0]
distance_matrix = np.zeros((int((l**2-l)/2), 3))
counter = 0
for x in range(0,(myList.shape[0])-1):
for y in range((x+1),(myList.shape[0])):
... | muthupal007/Clustering-Algorithms | HAC/HAC_script.py | HAC_script.py | py | 4,987 | python | en | code | 5 | github-code | 21 | [
{
"api_name": "numpy.zeros",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.linalg.norm",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.linalg",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "pandas.DataFrame",
... |
33808541788 | """dj_diplom URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.1/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-bas... | SaD-Pr0gEr/Online-store-api | shop/urls.py | urls.py | py | 1,186 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.urls.path",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "django.urls.include",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "django.urls.inc... |
37517414166 | # coding=utf-8
import os
import sys
import time
import math
import random
import pandas as pd
import numpy as np
import qtawesome
import qdarkstyle
import traceback
import xlsxwriter
import matplotlib.pyplot as plt
from scipy.signal import savgol_filter
import copy
from PyQt5.QtWidgets import *
from PyQt5.QtGui import ... | ToLoveToFeel/petroleomicsSoftware | MainWinAll.py | MainWinAll.py | py | 406,153 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.read_excel",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pandas.read_excel",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "math.isnan",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "math.isnan",
"line... |
37298867984 |
import argparse
import os
import shutil
def split_dir(abs_dirname, N):
"""Move files into subdirectories."""
files = [os.path.join(abs_dirname, f) for f in os.listdir(abs_dirname)]
i = 0
for f in files:
while(os.path.isfile(f)):
# create new subdir if necessary
... | Ramc23/split-directory | split-directory.py | split-directory.py | py | 2,619 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.join",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_numbe... |
22439181556 | #!/usr/bin/env python
import sqlite3
import os
import time
import glob
import time
import grovepi
dbname='/var/www/templog.db'
#Sensor connected to A0,A1,A2 Port
sensor0 = 0
sensor1 = 1
sensor2 = 2
def log_temperature(temp):
print (temp)
conn=sqlite3.connect(dbname)
curs=conn.cursor()
curs... | madios/windMeter | src/cgi-bin/monitor.py | monitor.py | py | 703 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sqlite3.connect",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "grovepi.analogRead",
"line_number": 32,
"usage_type": "call"
}
] |
28889201592 | import pytest
import tkinter as tk
from src.campo_minado import CampoMinado
@pytest.fixture
def root():
return tk.Tk()
def obter_combinacoes_dimensoes():
# Defina as combinações de linhas e colunas para diferentes níveis
dimensoes = {
'facil': (8, 8),
'intermediario': (10, 16),
... | MatheusAndradeUchoa/Campo_minado | test/criar_Campo_test.py | criar_Campo_test.py | py | 1,541 | python | pt | code | 0 | github-code | 21 | [
{
"api_name": "tkinter.Tk",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "src.campo_minado.CampoMinado",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pytest.mark... |
25392623920 | import collections
from contextlib import contextmanager
import os
import subprocess
import time
import numpy as np
from matplotlib import pyplot as plt
class Tools():
@staticmethod
def normalize(value, mean, std):
return (value - mean) / std
@staticmethod
def inv_trans(value, mean, std):
... | ryoma-k/GBVPP_Public | src/base/utils/tools.py | tools.py | py | 3,361 | python | en | code | 8 | github-code | 21 | [
{
"api_name": "cv2.imread",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "{'cv2': 'cv2'}.resize",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "cv2.INTER_NEAREST",
"line_number": 42,
"usage_type": "attribute"
},
{
"api_name": "cv2.INTER_ARE... |
43045092477 | import numpy as np
from attrs import define, asdict
from tqdm import tqdm
import pickle
import os
from os.path import exists
import torch
import torch.nn as nn
import torch.optim as optim
from instructRNN.models.full_models import make_default_model
from instructRNN.trainers.base_trainer import BaseTrainer
from instr... | ReidarRiveland/Instruct-RNN | instructRNN/trainers/decoder_trainer.py | decoder_trainer.py | py | 11,642 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "torch.device",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "attrs.define",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "instructRNN.trainers.base_trainer.BaseTrainer",
"line_number": 41,
"usage_type": "name"
},
{
"api_name"... |
6873822041 | #!/usr/bin/env python
import rospy
import math
from pyproj import Proj
from R3_functions import quat_rot, fit_in_rad, debug_info
import tf
import geometry_msgs.msg
# ROS messages
from std_msgs.msg import String, Float32, Int32
from geometry_msgs.msg import Point, Pose, Twist
from nav_msgs.msg import Odometry
from sen... | DTU-R3/DTU-R3-ROS | waypoint_nav/src/3d_waypoint_control.py | 3d_waypoint_control.py | py | 13,957 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "pyproj.Proj",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "geometry_msgs.msg.Point",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "geometry_msgs.msg.Twist",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "sensor_ms... |
29252948778 | import cv2
import numpy as np
import matplotlib.pyplot as plt
import torch
def show(img):
plt.figure(figsize=(100,100))
plt.imshow(img, cmap="gray")
plt.show()
def ttoi(tensor):
img = tensor.cpu().numpy()
return img
def visualization(images, num_images=20, num_rows=2):
r = num_rows
i = nu... | rrmina/AI502-GAN-Experiments | utils.py | utils.py | py | 1,282 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.imshow",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matp... |
36338879437 | from flask_app import app
from flask import render_template, redirect, request, session, flash
from flask_app.models.cars_model import Cars
@app.route('/dashboard')
def dashboard():
return render_template('logged_in.html', first_name=session['user_name'], user_id=session['id'], cars=Cars.get_cars_sell_names())
@a... | zachif/belt_exam | flask_app/controllers/cars_controller.py | cars_controller.py | py | 2,322 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.render_template",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.session",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "flask_app.models.cars_model.Cars.get_cars_sell_names",
"line_number": 7,
"usage_type": "call"
},
{
... |
21221515304 | import numpy as np
import numexpr as ne
from circle_square_symbolic_demo import contour_fnc
def torus_fnc(x, y, z, r=1):
r = 4
rx = 0.1
ry = 0.1
rz = 0.1
return (1 - (r - ((x / rx) ** 20 + (y / ry) ** 20)**0.05) ** 20 - (z / rz) ** 20)
def torus_circle_ne(x, y, z, r=1):
r = 2
rx = 0.4
... | sohale/implisolid | python_implicit/experimentation/implicitShapes.py | implicitShapes.py | py | 1,345 | python | en | code | 17 | github-code | 21 | [
{
"api_name": "numexpr.evaluate",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numexpr.evaluate",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numexpr.evaluate",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numexpr.evaluate",... |
34018283865 | import argparse
import collections
import glob
import json
from scipy import stats
parser = argparse.ArgumentParser(
description='Load OpenReview data from a sqlite3 database.')
parser.add_argument('-d', '--dataset_file', type=str,
help='path to dataset file')
ResultMap = collections.namedtu... | nnkennard/iclr-discourse-dataset | baselines/old/info_retrieval/agreement.py | agreement.py | py | 1,793 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "json.load",
... |
73654786932 |
from django.shortcuts import render
from rest_framework import status
from rest_framework.response import Response
from rest_framework.permissions import AllowAny
from rest_framework.views import APIView
from django.db.models import Q
from rest_framework_api_key.permissions import HasAPIKey
from .utils import validate... | coodblooded/homeLane | homelane/query_service/views.py | views.py | py | 3,654 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "rest_framework.views.APIView",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "rest_framework_api_key.permissions.HasAPIKey",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "utils.validate_payload",
"line_number": 20,
"usage_type": "call... |
9757243715 | import torch
import cv2
import numpy as np
import zmq
import urllib
import os
import pickle
import time
import datetime
# Model
# class
# 객체 정보 송신을 위한 pub 선언
info_context = zmq.Context()
info_socket = info_context.socket(zmq.PUB)
# Drone의 info_socket과 동일한 docker의 ip
info_socket.bind("tcp://172.17.0.2:5555")
#ZMQ SU... | stmoon/abcdrone | yolotest.py | yolotest.py | py | 2,431 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "zmq.Context",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "zmq.PUB",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "zmq.Context",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "zmq.SUB",
"line_number": 21,... |
8826140476 | # -*- coding: utf-8 -*-
"""
Created on Wed Apr 13 13:20:09 2016
@author: gs13g11
"""
import numpy as np
import matplotlib.pyplot as plt
from numpy.linalg import inv
from numpy.matlib import rand,zeros,ones,empty,eye
f=np.logspace(1,4,500)
w=f*2*np.pi
m1=10
m2=10
k1=1e8
k2=1e1
c1=1e2
c2=1e2
... | GSquiccia/Ipython-group | 2dof_Array_V2.py | 2dof_Array_V2.py | py | 1,308 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.logspace",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_numb... |
22926015065 | # encoding: utf-8
#
#
# This Source Code Form is subject to the terms of the Mozilla Public
# License, v. 2.0. If a copy of the MPL was not distributed with this file,
# You can obtain one at http:# mozilla.org/MPL/2.0/.
#
# Contact: Kyle Lahnakoski (kyle@lahnakoski.com)
#
"""
# NOTE:
THE self.lang[operator] PATTERN ... | mozilla/jx-sqlite | vendor/jx_base/expressions/base_multi_op.py | base_multi_op.py | py | 4,392 | python | en | code | 35 | github-code | 21 | [
{
"api_name": "jx_base.expressions.expression.Expression",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "mo_json.NUMBER",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "jx_base.expressions.expression.Expression.__init__",
"line_number": 42,
"usage_t... |
38066930142 | import pathlib
import numpy as np
from .defs import Tiles
from .map import Map
from z3 import Bool, And, Or, Solver, Not
def is_rock(m, x, y):
return np.asscalar(m.dat[y][x] == Tiles.LAND_ROCK)
def make_cell(top_inputs, left_inputs):
v1 = And(left_inputs[0], left_inputs[3])
v2 = And(left_inputs[1], le... | nguyenguyen753/WriteUp-CTF | CSaw Qual 2021/turning_trees/solve.py | solve.py | py | 6,023 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "numpy.asscalar",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "defs.Tiles.LAND_ROCK",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "defs.Tiles",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "z3.And",
"lin... |
42528693262 | import math, random, argparse, time, sys
import numpy as np
from numba import jit
import warnings
warnings.filterwarnings("ignore")
from data_stream import stream
T_oja = 100
#### Hyperparameters #####################################################
clip = False
loop = 5
testwindow = 500
k = 3
B_list = np.unique(... | MinchanJeong/Robust-Streaming-PCA | real_data/main.py | main.py | py | 4,793 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.power",
"... |
33899035993 | from typing import Any, Dict, List, Type, TypeVar
import attr
from ..models.regulated_information_field_field_type import RegulatedInformationFieldFieldType
T = TypeVar("T", bound="RegulatedInformationField")
@attr.s(auto_attribs=True)
class RegulatedInformationField:
r"""A field collected from the regulatory ... | milyord/sp-api | sp/orders_v0/models/regulated_information_field.py | regulated_information_field.py | py | 2,507 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "typing.TypeVar",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "models.regulated_information_field_field_type.RegulatedInformationFieldFieldType",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 26,
"usage_ty... |
6810945897 | import threading
import socket
import sys
import json
import time
class Client:
def __init__(self):
self.socket_cliente = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
self.host = "localhost"
self.port = 1234
try:
self.socket_cliente.connect((self.host, self.port))... | mesantamaria/Advanced-programming-Homeworks | Actividades/AC14/client.py | client.py | py | 2,663 | python | es | code | 0 | github-code | 21 | [
{
"api_name": "socket.socket",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_STREAM",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "threading.T... |
71099265332 | """data fpr status
Revision ID: 271e06a87763
Revises: db48589a8915
Create Date: 2022-05-03 11:14:07.543520
"""
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects import postgresql
# revision identifiers, used by Alembic.
revision = '271e06a87763'
down_revision = 'db48589a8915'
branch_labels = No... | vrcompugo/EV-Manager-Data-API | migrations/versions/271e06a87763_data_fpr_status.py | 271e06a87763_data_fpr_status.py | py | 737 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "alembic.op.add_column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.dialect... |
15024298773 | # Note to self, need to at least finish the part that gathers all of the data into all 3 dataframes
from state_abbrevs import states
from bs4 import BeautifulSoup
from datetime import datetime
from api_key import key
import pandas as pd
import requests
import json
import os
# +++++++++++++++++++++++++++++++
# Retri... | bhyman67/City-Energy-Usage | Get Nrg City Usage Data.py | Get Nrg City Usage Data.py | py | 4,886 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 87,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
... |
27209328962 | import psycopg2
#for some reason this is not working - potentially because the postgreSQL implementation has a different path which is
# "/Applications/Postgres.app/Contents/Versions/9.6/bin/psql" -p5432 -d "snippets"
import logging
import argparse
# Set the log output file, and the log level
logging.basicConfig(filen... | sbonning/snippets-app | snippets.py | snippets.py | py | 5,087 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.basicConfig",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "logging.debug",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "psycopg2.connect",
... |
31404695830 | #!/usr/bin/env python3
import collections
import math
import random
from urllib import parse
import pathlib
BASE_URL = 'https://upload.wikimedia.org/wikipedia/commons/'
LOCAL_PATH = 'img/'
DEFAULT_TARGET_SIZE = 4_000_000
TOLERANCE = .05
def file_name(url):
url_parts = parse.urlsplit(url)
path = pathlib.Pu... | ramalho/chipy2019 | spinners/python/io-bound/images.py | images.py | py | 1,321 | python | en | code | 9 | github-code | 21 | [
{
"api_name": "urllib.parse.urlsplit",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "urllib.parse",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "pathlib.PurePath",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "random.choice",
... |
19771919947 | """Test a uniform permutation algorithm against a non-uniform one."""
import typing as t
import matplotlib.pyplot as plt
import numpy as np
def uniform_permutation(num_elements: int,
random_state: t.Optional[int] = None) -> np.ndarray:
r"""Uniformly distributed permutation algorithm.
... | FelSiq/statistics-related | comp_stat_little_tricks/perm_prob_testing.py | perm_prob_testing.py | py | 2,916 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "typing.Optional",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.seed",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "numpy.arange"... |
41187292577 | # coding: utf-8
from django.contrib import messages
from django.contrib.auth.decorators import login_required
from django.core.mail import mail_managers
from django.core.urlresolvers import reverse
from django.shortcuts import redirect
from django.utils.decorators import method_decorator
from django.utils.translation ... | nonZero/hackforisrael | src/student_applications/views.py | views.py | py | 6,770 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "h4il.base_views.ProtectedMixin",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "student_applications.consts.get_user_progress",
"line_number": 32,
"usage_type": "call"
... |
33326507236 | """FunGAPsite URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.2/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-ba... | takimailto/FunGAPsite-webapp | FunGAPsite/urls.py | urls.py | py | 1,248 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.conf.urls.url",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 21,
"usage_type": "name"
},
{
"api_name... |
10352909332 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
"""
@author: peter.s
@project: GeoMAN
@time: 2019/11/7 21:09
@desc:
"""
from models.GeoMAN import GeoMAN
from trainer import Trainer
from preprocess.data_loader import PEMS4DataLoader
from preprocess.data_provider import DataProvider
if __name__ == '__main__':
max_epo... | Maple728/GeoMAN | main.py | main.py | py | 1,120 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "preprocess.data_loader.PEMS4DataLoader",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "preprocess.data_provider.DataProvider",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "preprocess.data_provider.DataProvider",
"line_number": 31,
"... |
1948464325 | #!/usr/bin/env python3
import sys
import time
from PyQt5.QtCore import *
from PyQt5.QtGui import *
from PyQt5.QtWidgets import *
from guitarseq import *
import notes
def fix_ctrlc(app):
app.event = lambda e: QApplication.event(app, e)
app.startTimer(100)
import signal
signal.signal(signal.SIGINT,lambda *args:a... | amstan/guitar | guitarseq/QGuitarSeq.py | QGuitarSeq.py | py | 16,016 | python | en | code | 7 | github-code | 21 | [
{
"api_name": "signal.signal",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "signal.SIGINT",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "time.sleep",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_nu... |
25743878836 | # 03
# Hard
# Given an arithmetic expression with *, /, - & + operators and single digit numbers,
# evaluate it and return the result.
# For example, 1 + 2 / 1 + 3 * 2 ==> 9
# -----------------------------------------------------
# Time Complexity: O(n)
# Space Complexity: O(n) because we store a copy of the ope... | dannynoonan/interview-prep | ic/08_stacks/03_stack_math.py | 03_stack_math.py | py | 1,987 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pytest.main",
"line_number": 63,
"usage_type": "call"
}
] |
42582856415 | import os
import sys
import torch
import pathlib
torch.set_default_dtype(torch.float64)
# Set right path for local imports and dataset finding
try:
exec_path = pathlib.Path(os.path.dirname(os.path.realpath(__file__)))
code_path = exec_path.parent.parent
except NameError:
exec_path = pathlib.Path(os.getcwd... | allambert/foreg | demos/synth.py | synth.py | py | 4,157 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "torch.set_default_dtype",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "torch.float64",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.dirname... |
44499171975 | # !/usr/bin/env python3
# -*- encoding: utf-8 -*-
# @author: condi
# @file: unetImp_comment.py
# @time: 19-1-27 下午3:01
import os
import shutil
import cv2
import numpy as np
from numpy import set_printoptions
import mxnet as mx
from collections import namedtuple
from Services.utils import get_coord
set_printoptions(t... | condilin/QAS | Services/Unet/unetImp_comment.py | unetImp_comment.py | py | 9,829 | python | zh | code | 0 | github-code | 21 | [
{
"api_name": "numpy.set_printoptions",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.nan",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "mxnet.gpu",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "mxnet.model.load_chec... |
149752693 | # Assumption: The server does not go offline
import pika
import json
MAXSERVERS = 12
SERVERS = {}
connection = pika.BlockingConnection(
pika.ConnectionParameters(host="localhost"))
channel = connection.channel()
channel.queue_declare(queue="registry")
def StringifyMessage(message):
return json.dumps(messag... | meetakshi253/DSCD-Winter-2023 | 28_a1/rabbitmq/registry_server.py | registry_server.py | py | 1,881 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pika.BlockingConnection",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pika.ConnectionParameters",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "json.load... |
43388694422 | # - * - coding: utf-8 - * -
from scrapy.spiders import CrawlSpider
from scrapy.http import Request
from scrapy.selector import Selector
from BookSpider.items import BookspiderItem
import re,sys
reload(sys)
sys.setdefaultencoding('utf8')
class DouBan(CrawlSpider):
name = 'Book'
start_urls = ['https://book.doub... | iMissWonder/DoubanBookSpider | BookSpider/spiders/bookspider.py | bookspider.py | py | 5,091 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.setdefaultencoding",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "scrapy.spiders.CrawlSpider",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "scrapy.selector.Selector",
"line_number": 18,
"usage_type": "call"
},
{
"api_nam... |
72669432692 | import streamlit as st
import torch
from pandas import options
from transformers import BartForConditionalGeneration, BartTokenizer
# initialize model + tok variables
model = None
tok = None
# Examples for each models
context_example = ''
context_length = ''
examples = [
"Well, I was born in South Af... | haramkoo/InterviewAI | interview-streamlit/app.py | app.py | py | 7,108 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "transformers.BartForConditionalGeneration.from_pretrained",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "transformers.BartForConditionalGeneration",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "transformers.BartTokenizer.from_pretrained",
... |
39799373624 | # from collections import deque
# def solution(numbers, target):
# answer = 0
# dq = deque([[0, 0]])
# while dq:
# tmp_sum, idx = dq.pop()
# if idx == len(numbers):
# if tmp_sum == target:
# answer += 1
# continue
# dq.append([tmp_sum + numbers... | cheol-95/Algorithm | re-start/038. 타겟 넘버.py | 038. 타겟 넘버.py | py | 676 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "itertools.product",
"line_number": 18,
"usage_type": "call"
}
] |
17588000406 | import os
import sys
import math
from PIL import Image
import statistics
def pngs_2_emoji(png_list):
assert png_list
img_width = png_list[0].size[0]
img_height = png_list[0].size[1]
for png in png_list:
assert img_width == png.size[0]
assert img_height == png.size[1]
best_usag... | etorth/mir2x | tools/png2emoji/src/png2emoji.py | png2emoji.py | py | 9,358 | python | zh | code | 288 | github-code | 21 | [
{
"api_name": "PIL.Image.new",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "os.path.isdir",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 48... |
20951355827 | import os
import asyncio
import aiohttp
import aiofiles
from bs4 import BeautifulSoup
import re
from utils.get_results_from_GPT import gpt_completion
# Function to replace multiple newlines with double newlines
def replace_newlines(text):
return '\n\n'.join(paragraph.strip() for paragraph in text.split('\n\n') if ... | faisal-saddique/intelli_scrape | scraper_async.py | scraper_async.py | py | 3,140 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "utils.get_results_from_GPT.gpt_completion",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "aiohttp.ClientSession",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 56,
"usage_type": "call"
},
{
... |
2770030502 | from typing import Any, Optional
from authentication.models import User
from django.core.management.base import BaseCommand
class Command(BaseCommand):
def handle(self, *args: Any, **options: Any) -> Optional[str]:
for user in User.objects.all():
self.stdout.write(f'Delete {user}...'... | pykulytsky/freelance-service | src/authentication/management/commands/truncateusers.py | truncateusers.py | py | 448 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "authentication.models.User.objects.all",
"line_number": 9,
"usage_type": "call"
},
{... |
23130812742 | # -*- coding: utf-8 -*-
from spacy.lang.en import English
from medspacy_io.reader import EhostDocReader
from medspacy_io.reader import EhostDirReader
from spacy.lang.en import English
from spacy.tokens import Doc
import pandas as pd
from typing import List
def eHost_dir_reader(proj_schema:str,corpus_dir:str) -> List... | medspacy/medspacy_annotations | IAA/eHost_annot2dataframe.py | eHost_annot2dataframe.py | py | 1,527 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "medspacy_io.reader.EhostDirReader",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "spacy.lang.en.English",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "s... |
12084962500 | from sklearn import svm
import pandas as pd
import numpy as np
import IPython
from sklearn.externals import joblib
import sklearn.metrics as stats
import winsound
df= pd.read_csv(r"C:\Users\John\jhm4.github.io\DIS2.csv", parse_dates=['Date'], infer_datetime_format=True)
adjPrice = df[' Adj Close']
Volume = df[' Vol... | jhm4/jhm4.github.io | LearnML_dis.py | LearnML_dis.py | py | 4,149 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.Series",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pandas.Series",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_n... |
25704620886 | import os, sys
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "src.settings")
sys.path.append(os.path.abspath(os.path.join(BASE_DIR, os.pardir)))
from django.core.wsgi import get_wsgi_application
application = get_wsgi_application()
from Food.mod... | gargpushkar/AppyHighProject | Django2/Project1/script.py | script.py | py | 9,481 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "os.path.dirname",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "os.environ.setdefault",
... |
18404845899 | import itertools; import math; import operator; import random; import string; from bisect import *; from collections import deque, defaultdict, Counter, OrderedDict; from functools import lru_cache, cache; from heapq import *; import unittest; from typing import List;
def get_sol(): return Solution()
class Solution:
... | afzalsiddique/problem-solving | Problem_Solving_Python/leetcode/lc1888.py | lc1888.py | py | 2,002 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "collections.deque",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "unittest.TestCase",
"line_number": 36,
"usage_type": "attribute"
}
] |
20393613918 | #!/usr/bin/python3
from db_computations import ComputationsDbSession
from db_personal import FittingSession
import recommend
from flask import abort
from flask import Blueprint
from flask import flash
from flask import jsonify
from flask import make_response
from flask import request
from PIL import ExifTags
from PI... | sfedia/size-adviser-server | subservices/mobile_requests.py | mobile_requests.py | py | 11,978 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Blueprint",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "db_computations.ComputationsDbSession",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "flask.request.args.get",
"line_number": 50,
"usage_type": "call"
},
{
"api_... |
23318539865 | from django.contrib import admin
from .models import User, UserDraft
from django.contrib.auth.forms import UserChangeForm
from django.contrib.auth.admin import UserAdmin
from imagekit.admin import AdminThumbnail
@admin.register(User)
class UserAdmin(UserAdmin):
form = UserChangeForm
admin_thumbnail = AdminThu... | ri-gilfanov/pharmacosphere-site | CMS/users/admin.py | admin.py | py | 3,349 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.contrib.auth.forms.UserChangeForm",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "imagekit.admin.AdminThumbnail",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin.register",
"line_number": 8,
"usage_type": "c... |
34953631836 | from django.urls import re_path
from . import consumers
websocket_urlpatterns = [
re_path(
r"ws/workflows/(?P<wid>\w+)/$",
consumers.WorkflowConsumer.as_asgi(),
name="workflow_status_websocket",
),
]
app_name = "main"
| snakemake/snakeface | snakeface/apps/main/routing.py | routing.py | py | 253 | python | en | code | 14 | github-code | 21 | [
{
"api_name": "django.urls.re_path",
"line_number": 6,
"usage_type": "call"
}
] |
1552170662 | """
This module takes indexed posts and
DON'T CALL THIS MODULE PRE_FILTER!!!
"""
from __future__ import division
import json
import math
import sys
from collections import defaultdict
from operator import itemgetter
from mrjob.job import MRJob
text_term_counts = {}
code_term_counts = {}
with open('/home/jason/K... | rottentomato56/kaggle-fb-stackoverflow | Run3/class_index_prefilter.py | class_index_prefilter.py | py | 5,476 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "mrjob.job.MRJob",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "collections.defaultdict",
"line_number": 84,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 85,
"usage_type": "call"
},
{
"api_name": "json.... |
36658002292 | from aiohttp import web
from views import setup_routes
import aiohttp_jinja2
import jinja2
from chemist_spyder import start_spyder, close_spyder
from orm import create_pool, close_pool
from models import check_user
from config_default import config
import aioredis
async def setup_redis(app, **kwargs):
... | qinghuawu/ozprice | www/app.py | app.py | py | 1,121 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "aioredis.create_redis_pool",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "aiohttp.web.Application",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "aiohttp.web",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "config... |
25110303137 | from collections import defaultdict
class Game:
def __init__(self, init=[]):
(data, index, last_number) = self._convert(init)
self.data = data
self.index = index
self.last_number = last_number
def next(self):
num = None
if len(self.data[self.last_number]) == 1:... | thomas9911/aoc2020 | day15/main.py | main.py | py | 1,209 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.defaultdict",
"line_number": 31,
"usage_type": "call"
}
] |
73034088694 | import pandas as pd
from time import sleep
import tushare as ts
from datetime import datetime, timedelta
import numpy as np
ts.set_token('c721c267a710ecdcb3f8da94e4a3c3ed145ae5c0e4cf6a5c983e470b')
pro = ts.pro_api()
def datetime_range(start: str, end: str):
"""
:param start: str
:param end: str
:retur... | ChaunceyDong/seek-max-vol-stock | tushare_data.py | tushare_data.py | py | 3,637 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "tushare.set_token",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "tushare.pro_api",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datetime.d... |
31933108671 | from selenium import webdriver
from time import sleep
driver = webdriver.Chrome('C:\\Users\\d33ps3curity\\Downloads\\chromedriver_win32\\chromedriver.exe')
driver.get('https://www.instagram.com/')
sleep(5)
login_button = driver.find_element_by_link_text('Sign up')
login_button.click()
sleep(5)
driver.close()
| Ajay-2007/WebScraping | Web Scraping with Beautiful Soup/7.Using Selenium to Handle AJAX JavaScript Driven Web Pages/clicking_elements.py | clicking_elements.py | py | 319 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "time.sleep",
... |
855156691 | import matplotlib.pyplot as plt
import numpy as np
lines = map(lambda l: l.split(), open("timeout/part-r-00000").readlines())
dates, counts = [], []
for l in lines:
dates.append(l[0])
counts.append(int(l[1]))
fig = plt.figure()
plt.title("Time series bar chart showing tweets/day")
plt.xlabel("Dates")
plt.ylab... | fayimora/ecs739p-cw1 | src/time_analysis.py | time_analysis.py | py | 486 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.title",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "ma... |
37218313157 | import re
from sapgui import SAPGuiApplication
from sapguielements import SAPGuiElements, SAVE_BUTTON, MESSAGE_ELEMENT
from transaction import SAPTransaction
import sys
import traceback
ELEMENTO_CODIGO_TRANSPORTADOR = "wnd[0]/usr/tabsHEADER_TABSTRIP1/tabpTABS_OV_PR/ssubG_HEADER_SUBSCREEN1:SAPMV56A:1021" \
... | kslima/bootTransp | vt.py | vt.py | py | 15,986 | python | pt | code | 0 | github-code | 21 | [
{
"api_name": "sapguielements.SAPGuiElements.enter",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "sapguielements.SAPGuiElements",
"line_number": 76,
"usage_type": "name"
},
{
"api_name": "sapguielements.SAPGuiElements.verificar_mensagem_barra_inferior",
"line_num... |
17453072781 | import json
from pathlib import Path
from flask import (Blueprint, flash, g, request, render_template,
abort, Markup, redirect, url_for, jsonify, current_app)
from flask_sqlalchemy import SQLAlchemy
from sqlalchemy import func
from .models import ArticleEval, db
ARTICLE_DIR = "data/articles"
VALID... | LukasRub/stocks-tldr-eval | flask_eval/task_one.py | task_one.py | py | 3,889 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Blueprint",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "flask.current_app",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "json.load",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "models.ArticleEval.query.... |
31142383258 | """
Tests for the api server.
"""
import time
import multiprocessing
import uuid
import requests
import pytest
import uvicorn
from api import __main__
URL = "http://localhost:5000"
TIMEOUT = 5
def run_server():
"""Run the FastAPI app using Uvicorn."""
__main__.TIMEOUT = TIMEOUT
uvicorn.run(__main__.ap... | DArtagan/job-api | tests/test_api.py | test_api.py | py | 6,555 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "api.__main__.TIMEOUT",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "api.__main__",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "uvicorn.run",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "api.__main__.app",... |
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