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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
19040678594 | from django.urls import path
from . import views
urlpatterns=[
#Function Based View
#http://127.0.0.1:8000/employee/employee_cr/
path('employee_cr/',views.Employee_cr),
#http://127.0.0.1:8000/employee/employee_rud/1
path('employee_rud/<pk>',views.Employee_rud,name='employee_rud'),
#Class Base... | vjvijaykumarvj/company_project | nondrf_root/CRUD_app/urls.py | urls.py | py | 605 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
31791329611 | """
author : Lee Sang Min
github : https://github.com/sangm1n
e-mail : dltkd96als@naver.com
title : ํ์ฌ์ ์๋ ์ฌ๋
description : Dictionary
"""
import sys
from collections import defaultdict
input = sys.stdin.readline
N = int(input())
dic = defaultdict(int)
for _ in range(N):
name, inout = map(str, input().split())
... | sangm1n/problem-solving | BOJ/7785.py | 7785.py | py | 561 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.stdin",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "collections.defaultdict",
"line_number": 15,
"usage_type": "call"
}
] |
5550425262 | import numpy as np
import pickle
import sys
from sklearn.linear_model import LogisticRegression
from sklearn.model_selection import cross_validate
models_path = "models"
def get_model_path(label_name):
return models_path + "/" + "model_" + label_name + ".pkl"
def get_history_path(label_name):
return models... | juananpe/forum40 | backend/classification/classifier.py | classifier.py | py | 3,333 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sklearn.linear_model.LogisticRegression",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "numpy... |
30570045496 | import time
import types
from traceback import format_exc
from typing import Type, Optional, Union, Tuple
import attr
from jsonmodels import models
from requests.structures import CaseInsensitiveDict
from six import string_types
from apiserver import database
from apiserver.config_repo import config
from apiserver.ut... | allegroai/clearml-server | apiserver/service_repo/apicall.py | apicall.py | py | 21,332 | python | en | code | 334 | github-code | 21 | [
{
"api_name": "attr.ib",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "attr.ib",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "attr.validators.in_",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "attr.validators",
"line_numbe... |
38606842734 | from http import HTTPStatus
from fastapi import Depends, HTTPException, Query, Request
from fastapi.templating import Jinja2Templates
from fastapi.responses import HTMLResponse
from lnbits.core.crud import update_payment_status
from lnbits.core.models import User
from lnbits.core.views.api import api_payment
from lnb... | lnbits/lnurldevice | views.py | views.py | py | 1,888 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "fastapi.templating.Jinja2Templates",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "fastapi.Request",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "lnbits.core.models.User",
"line_number": 19,
"usage_type": "name"
},
{
"api_na... |
21418194743 | from loguru import logger
from twisted.internet.defer import Deferred
from twisted.internet.protocol import ReconnectingClientFactory
from twisted.internet.tcp import Connector
from twisted.python.failure import Failure
from sibi.decorators import append, publish, request, resolve
from sibi.exceptions import IBExcepti... | manuelfedele/sibi | sibi/ib_factory.py | ib_factory.py | py | 9,782 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "twisted.internet.protocol.ReconnectingClientFactory",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sibi.ibapi.client.EClient",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sibi.ibapi.wrapper.EWrapper",
"line_number": 21,
"usage_typ... |
38613306807 | import sqlite3
import os
filename = "testing.db"
# Delete existing databases
# check if file exists
if os.path.isfile(filename):
# delete file
os.remove(filename)
# connecting to the database
conn = sqlite3.connect('testing.db')
# Prompt the user to set a password for the database
password = input("Ent... | WhipAndLash/BaseChecking | database.py | database.py | py | 1,413 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.isfile",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.remove",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_numbe... |
41784297545 | from typing import List
import pandas as pd
import plotnine as pn
from application.constants import DATA_DIR, RESULTS_DIR
from application.main_experiment.eval.noise_eval import (
aggregate_performance_across_tasks,
aggregate_performance_across_tasks_no_merging,
aggregated_table_to_latex,
rename_easy_... | HLasse/data-centric-synthetic-data | src/application/main_experiment/eval/distributions_significance/label_noise_summary_table.py | label_noise_summary_table.py | py | 6,121 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "typing.List",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "data_centric_synth.experiments.models.IMPLEMENTED_DATA_CENTRIC_METHODS",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "data_centric_synth.experiments.models.get_default_synthetic_mo... |
25635221488 | from django.test import TestCase
from .models import Course, Student, Register
from django.contrib.auth.models import User
# Create your tests here.
class ModelsTestCase(TestCase):
def setUp(self):
course1 = Course.objects.create(
course_code="CN1",
course_name="A",
s... | 6310682619/cn331-as2 | reg/registrar/test_models.py | test_models.py | py | 1,088 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.test.TestCase",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "models.Course.objects.create",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "models.Course.objects",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_nam... |
74970671731 | """mysite 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-based ... | GoodnessEzeokafor/building-api-with-django-rest | main/urls.py | urls.py | py | 2,720 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "rest_framework.routers.DefaultRouter",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "rest_framework.routers",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "main.endpoints.PaidOrderLineViewSet",
"line_number": 28,
"usage_type": "attri... |
6182136878 | from flask import Blueprint, jsonify, request
from flask_cors import CORS
from functools import reduce
from sqlalchemy import func, or_
from server.models.Properties import Property, Price
from server.util.instances import db
from server.util.helpers import (no_of_Beds, get_areas,
get_... | preciousidam/analysis-backend | server/routes/statistics.py | statistics.py | py | 2,933 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Blueprint",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.request.args.get",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "flask.request.... |
72809157494 | import cv2
import numpy as np
from matplotlib import pyplot as plt
from copy import deepcopy
# 1
I = cv2.imread("./anhthi/Coins.jpg")
# cv2.imshow("Image", I)
# 2. chuyแปn แบฃnh qua gray
Ig = np.zeros((I.shape[0], I.shape[1]), dtype='uint8')
for i in range(0, I.shape[0]):
for j in range(0, I.shape[1]):
Ig[i]... | trongthanhqvo/xulyanh | de7.py | de7.py | py | 3,379 | python | vi | code | 1 | github-code | 21 | [
{
"api_name": "cv2.imread",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.max",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cv2.Sobel",
"line_number": 21,
... |
25375101267 | from django.db.models.signals import m2m_changed, post_save, pre_save, pre_delete
from django.dispatch import receiver
from django.utils.text import slugify
from transliterate import translit
from itertools import product
from unidecode import unidecode
from .models import Product, ProductModification, Image, Category,... | zharuk/django-deva7 | deva7km/catalog/signals.py | signals.py | py | 9,017 | python | ru | code | 0 | github-code | 21 | [
{
"api_name": "models.ProductModification.objects.filter",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "models.ProductModification.objects",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "models.ProductModification",
"line_number": 15,
"usage_... |
23391199277 | import pymongo as pm
from bson.json_util import loads, dumps, SON
import config
# DB Model
class dataBase(object):
CONNECTION_STRING = config.Config.MONGO_URI
DATABASE = None
COLLECTION = None
#Init connection
@staticmethod
def initialize():
client = pm.MongoClient(dataBase.CONNECTI... | Krystian-P/Day-Event_Storage | Main/app/model.py | model.py | py | 2,004 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "config.Config",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pymongo.MongoClient",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "bson.json_util.loads",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "bson.json_... |
27206049855 | import logging
from dataclasses import dataclass
from typing import Dict, List
import numpy as np
import torch
from torch.utils.data.dataset import Dataset
from torch.nn.utils.rnn import pad_sequence
from transformers import PreTrainedTokenizer
from span_masking import ParagraphInfo, PairWithSpanMaskingScheme
logg... | ahoho/conditional-mlm | data.py | data.py | py | 8,374 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.utils.data.dataset.Dataset",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "transformers.PreTrainedTokenizer",
"line_number": 23,
"usage_type": "name"
},
{
... |
2162591013 | import streamlit as st
import webvtt
import os
# import openai
from io import StringIO
import tiktoken
from langchain.document_loaders import UnstructuredFileLoader
from langchain.chains.summarize import load_summarize_chain
from langchain.text_splitter import RecursiveCharacterTextSplitter
from langchain.chat_models i... | slevin48/openai | summary/summarize_chain.py | summarize_chain.py | py | 2,795 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "streamlit.set_page_config",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "streamlit.title",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "streamlit.s... |
28718362472 | import pytest
import os
import shutil
import json
import contextlib
import socket
import tornado
from github import Github
from util import list_installed_modules, get_config_path, load_config, write_config, remove_module_files, determine_free_port
from github_access import list_modules, remove_filename_from_path, clon... | Smunfr/sse-platform-test | test_platform.py | test_platform.py | py | 9,501 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.isdir",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number":... |
20359432178 | #!/usr/bin/env python2
import ast
import base64
import errno
import grp
import os
import os.path
import pwd
import re
import shutil
import socket
import subprocess
import sys
import yaml
from charmhelpers.contrib.charmsupport import nrpe
from charmhelpers.core.hookenv import (
close_port,
config as orig_confi... | PietroPasotti/apache2-charm | hooks/hooks.py | hooks.py | py | 39,843 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "re.split",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "subprocess.call",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "subprocess.Popen",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "subprocess.PIPE",
"line... |
17686180112 | import json
from datetime import datetime
from hashlib import sha224 as hash_
from werkzeug.wrappers import Response
timefmt = '%Y-%m-%d_%H:%M:%S.%f'
# content { <collection> { <hash> : <json resource>, ...} ... }
collections = {}
def home(req):
return Response('Temp Root Response')
def content(req, collectio... | jessebmiller/JBMPub | model/api/controllers.py | controllers.py | py | 1,182 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "werkzeug.wrappers.Response",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"li... |
10464853686 | import cv2 as cv
import numpy as np
def searchTemplate(template,img):
flattenTemplate = np.array(template).flatten()
for i in range(len(img)-len(template)):
for j in range(len(img[0])-len(template[0])):
return
cap = cv.VideoCapture('Taiwan.mp4')
roi = None
template = None
while(cap.isOpen... | MouraYuri/ObjectDetection-TemplateMatching | templateMatching.py | templateMatching.py | py | 1,362 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "numpy.array",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"li... |
25566839171 | import uuid
from language import Language
DEFAULT_DATA = {
"cards": [],
"id": uuid.uuid4().hex,
"name": "Invalid list",
"icon": "default.png"
}
class CardList:
def __init__(self, filename: str, language: Language, json_data=None, name=None):
self.filename = filename
self.language... | Kage0x3B/tangocards | src/main/python/card_list.py | card_list.py | py | 1,635 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "uuid.uuid4",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "language.Language",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "uuid.uuid4",
"line_number": 20,
"usage_type": "call"
}
] |
11016949280 | #!/usr/bin/python3
import sys
import subprocess
import tempfile
if len(sys.argv) != 3:
print(f'Usage: {sys.argv[0]} [ghidraLocation] [firmwareImage]')
sys.exit(0)
filename = sys.argv[2]
ghidraDir = sys.argv[1]
def getEndianness(filename):
print('Detecting endianess...')
binwalkOutput = subprocess.ru... | infobyte/cve-2022-27255 | analysis/analyse_firmware.py | analyse_firmware.py | py | 3,489 | python | en | code | 263 | github-code | 21 | [
{
"api_name": "sys.argv",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 11,
... |
72232839733 | from __future__ import print_function
from hyperopt import Trials, STATUS_OK, tpe
from hyperas import optim
from hyperas.distributions import choice, uniform
# Import required libraries
import pandas as pd
import numpy as np
import sklearn
import time
from sklearn.model_selection import train_test_split
# Keras spec... | EvoArt/MachineFlow | src/learning/DeepLearningTuning.py | DeepLearningTuning.py | py | 4,206 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "keras.utils.to_categorical",
"line_number": 51,
"usage_type": "call"
},
{
... |
6140659850 | from bs4 import BeautifulSoup
import requests
import re
class Scrape:
def __init__(self):
self.headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.13 Safari/537.36",
"Referer": "http://tools.iedb.org/bcell/"
... | ImLuFish/ScrapeProject | main.py | main.py | py | 1,555 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.Session",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "re.compile",
... |
26202297870 | import os
import logging
from logging import StreamHandler
from socket import gethostname
def get_secret(key, required=True):
secret = os.environ.get(key)
if secret is None and required:
raise KeyError("Missing secret {}".format(key))
return secret
BASE_URL = "localhost:5000"
PROTOCOL = "http"
HOS... | renfredxh/snueue | snueue/config/base.py | base.py | py | 1,603 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "os.environ.get",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "socket.gethostname",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"l... |
17452774191 | import spacy
def find_recursive(token, dep, chunks):
children = token.children
spans = []
for c in children:
if c.dep_ == dep:
for chunk in chunks:
if c in chunk:
spans.append(chunk.string)
break
spans.extend(find_recurs... | LukasRepos/LiveBot | Chatty/cognitive/NLP/svoExtraction.py | svoExtraction.py | py | 3,263 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "spacy.util.filter_spans",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "spacy.util",
"line_number": 43,
"usage_type": "attribute"
}
] |
34261206832 | import sys
from collections import deque
dx = [-1, 1, 0, 0]
dy = [0, 0, -1, 1]
def bfs(i, j):
if matrix[i][j] == 0:
return 0
queue = deque()
queue.append((i, j))
matrix[i][j] = 0
while queue:
x, y = queue.popleft()
for i in range(4):
nx = x + dx[i]
ny = y + dy[i]
if nx < 0 o... | deepredpark/algorithm | BOJ/dfs_bfs/p1012.py | p1012.py | py | 830 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.deque",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.stdin.readline",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "sys.stdin.readlin... |
41979314652 | import click
import csv
import random
from Bio import SeqIO
from Bio.Seq import Seq
def short_formula(dna_seq):
"""
Melting temperature calculation for a sequence strictly shorter than 14 nucleotides
"""
dna_seq = dna_seq.upper()
nA = dna_seq.count("A")
nC = dna_seq.count("C")
... | TechnocultureResearch/binfutils | Padlock_Probe_miRNA/Padlock_Probe_Designer.py | Padlock_Probe_Designer.py | py | 5,503 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "random.choice",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "csv.DictReader",
"line_number": 88,
"usage_type": "call"
},
{
"api_name": "Bio.SeqIO.parse",
"line_number": 93,
"usage_type": "call"
},
{
"api_name": "Bio.SeqIO",
"line_nu... |
25013987592 | from cryptography.fernet import Fernet
import csv
def spread_list(inlist):
"""
Function to spread list values left to right.
Used to deal with implicit multiple headers pf multi Index csv.
["","value1","","","value2",""] ==> ["","value1","value1","value1","value2","value2"]
"""
outlist = []
... | muhammadusmannaeem/CSV-data-Encrypter | main.py | main.py | py | 7,263 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "cryptography.fernet.Fernet.generate_key",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "cryptography.fernet.Fernet",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "csv.reader",
"line_number": 31,
"usage_type": "call"
},
{
"api... |
15341786021 | from __future__ import annotations
from typing import Any, Generator, TYPE_CHECKING
from clovars.abstract import CellNode
from clovars.utils import PathCreatorMixin, QuietPrinterMixin
from clovars.simulation import TreatmentDrawer, TreeDrawer2D, TreeDrawer3D
if TYPE_CHECKING:
import pandas as pd
from clovars... | jfaccioni/clovars | clovars/simulation/view/simulation_viewer.py | simulation_viewer.py | py | 8,163 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "clovars.utils.QuietPrinterMixin",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "clovars.utils.PathCreatorMixin",
"line_number": 14,
"usage_type": "name"
},
{
... |
26982354740 | from flask import Flask
from flask_bootstrap import Bootstrap
from flask_mail import Mail
from flask_moment import Moment
from flask_sqlalchemy import SQLAlchemy
from flask_pagedown import PageDown
from flask_debugtoolbar import DebugToolbarExtension
# from celery import Celery
from config import config, Config
import ... | cuhkshenzhen/taxi | taximap/app/__init__.py | __init__.py | py | 2,850 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask_debugtoolbar.DebugToolbarExtension",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "flask_bootstrap.Bootstrap",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "flask_mail.Mail",
"line_number": 19,
"usage_type": "call"
},
{
... |
4698278992 | import argparse
import subprocess
import os
parser = argparse.ArgumentParser()
parser.add_argument('--cell', type=str, default="K562")
parser.add_argument('--root', type=str, default="./")
parser.add_argument('--update', action="store_true")
args = parser.parse_args()
standard_parameters = "--cutholes 1500 --singl... | organic-chemistry/repli1D | src/repli1d/whole_pipeline_extra.py | whole_pipeline_extra.py | py | 3,022 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 64,
"usage_type": "attribute"
},
{
"api_name": "subprocess.Popen",... |
22805984397 | #----------imports----------#
# from imu_ad import IMUAttitudeDetermination
import imu_ad
import RPi.GPIO
import smbus
import math
import numpy as np
import time
# import scipy.integrate as si
import matplotlib.pyplot as plt
import matplotlib.animation as animation
import operator as op
# from mpl_toolkits.mplot3d i... | afarah2002/PiRocket | archives/onboard_test/imu_old/imu_display.py | imu_display.py | py | 1,729 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "imu_ad.IMUAttitudeDetermination",
"line_number": 37,
"usage_type": "call"
},
{
"api_na... |
4918366894 | from nose.tools import assert_equals
class IFrameElementsTest(object):
def test_can_work_on_iframes(self):
"""can work on iframes and switch back to the page"""
with self.browser.get_iframe('iframemodal') as frame:
value = frame.find_by_tag('h1').first.value
assert_equals(... | rodrigomanhaes/splinter | tests/iframes.py | iframes.py | py | 458 | python | en | code | null | github-code | 21 | [
{
"api_name": "nose.tools.assert_equals",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "nose.tools.assert_equals",
"line_number": 12,
"usage_type": "call"
}
] |
35878332696 | import numpy as np
import matplotlib.pyplot as plt
from scipy.signal import correlate, convolve2d
from scipy.ndimage import median_filter
from iconfuv.misc import size_equalizer, liner, orientation_finder, get_br, shiftappend, correlation_coefficient
from iconfuv.destarring.nn_models import unet_v1
from iconfuv.data im... | UIUC-SINE/icon-fuv | python3/iconfuv/destarring/methods.py | methods.py | py | 7,095 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "iconfuv.destarring.nn_models.unet_v1",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "iconfuv.data.unet_v1_path",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "torch.load",
"line_number": 14,
"usage_type": "call"
},
{
"api_nam... |
33739580862 | #!/usr/bin/env python
from obspy.core import Stream, read, UTCDateTime
import glob
import operator
import numpy as np
from matplotlib.mlab import csd
from obspy.signal.invsim import paz_to_freq_resp
from obspy.signal.spectral_estimation import get_nlnm, get_nhnm
import matplotlib.pyplot as plt
from math import pi
impo... | reanthony-usgs/Raspberry_Shakes | Figure5b_Local_Event_Comparison.py | Figure5b_Local_Event_Comparison.py | py | 4,147 | python | en | code | 5 | github-code | 21 | [
{
"api_name": "matplotlib.rc",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "matplotlib.rc",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "matplotlib.rc",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplotlib.rc",
"line_n... |
41001418780 | """ Tests for PyDEns-module. """
import os
import warnings
from glob import glob
import pytest
BAD_PREFIXES = ['get_ipython', 'plt', 'axes', 'fig.', 'fig,',
'ipyw', 'interact(']
NOTEBOOKS = glob(os.path.join(os.path.dirname(__file__), '../../tutorials/*.ipynb'))
@pytest.mark.slow
@pytest.mark.parame... | analysiscenter/pydens | pydens/tests/pydens_test.py | pydens_test.py | py | 1,237 | python | en | code | 264 | github-code | 21 | [
{
"api_name": "glob.glob",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_numbe... |
2000157877 | #create map
#We cut the 90x60 cells screen into a 3x3 grid of 30x20 cells rectangles
#In each rectangle, we randomly draw a room
import random as rd
import numpy as np
import pygame as pg
#### CONSTANTS ######
W, H = 10, 10 # Cell width and height
X, Y = 90 , 60 # nb of cells horizontally and vertically
#I chose 90, ... | antoinelii/roguegame | map.py | map.py | py | 6,520 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "random.randint",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "random.sample",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "random.randint",
"lin... |
41982975743 | import boto3
import time
import threading
import sys
ec2_client = boto3.client('ec2', region_name='us-east-1')
ec2_resource = boto3.resource('ec2', region_name='us-east-1')
msgCount = 1
threshold = 0
exit = 0
AMI='ami-042e8287309f5df03'
def getInstancesStates(stoppedInstances, runningInstances):
for instance in e... | yhs97/AWS-AutoScaling | WebTier/Controller.py | Controller.py | py | 3,189 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "boto3.client",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "boto3.resource",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "boto3.resource",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_numbe... |
35987189012 | import pygame
#Arquivo que reune funรงรตes utilizadas em todos os niveis, para poupar cรณdigo repetido
#Codigo da quebra do laser
def laser_break(self):
#Codigo para a remoรงรฃo dos LASER disparados, feito com auxilio do chatGPT para criar a base e pensar a lรตgica.
#Basicamente ao remover a arma que dispara o laser... | insper-classroom/devlife-23-1-projeto-pygame-gustavoc_sarti | functions.py | functions.py | py | 7,819 | python | pt | code | 0 | github-code | 21 | [
{
"api_name": "pygame.sprite.groupcollide",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pygame.sprite",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pygame.sprite.groupcollide",
"line_number": 26,
"usage_type": "call"
},
{
"api_name... |
71818463094 | import logging
import click
import click_log
from poultry import readline_dir
from sqlalchemy.dialects import postgresql as pg
from sqlalchemy.exc import ProgrammingError
from . import model
from .features import basic_features, lv_features
try:
import psycopg2
except ImportError:
# Fall back to psycopg2c... | henryj885/flock | flock/__main__.py | __main__.py | py | 4,806 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "psycopg2cffi.compat.register",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "psycopg2cffi.compat",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sq... |
25879917342 | import subprocess
import sys
from typing import Iterable, List, Optional, Tuple
from autohooks.api import error, ok, out
from autohooks.api.git import get_staged_status, stash_unstaged_changes
from autohooks.api.path import match
from autohooks.config import Config
DEFAULT_INCLUDE: Tuple[str] = ("*.py",)
DEFAULT_ARGU... | greenbone/autohooks-plugin-mypy | autohooks/plugins/mypy/mypy.py | mypy.py | py | 2,589 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.Tuple",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "autohooks.config.Config",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "typing.Iterable",
... |
26637106780 | import cv2 as cv
capture = cv.VideoCapture(0)
#cv.imshow(capture)
#change res only work for live video
capture.set(3,320)
capture.set(4,240)
#frame capture
while capture.isOpened():
isTrue,frame = capture.read()
cv.imshow('Video',frame)
if cv.waitKey(1) & 0xFF == ord('q') :
break
capture.rele... | aluruhariharan/aluruhariharan | change_resol.py | change_resol.py | py | 351 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "cv2.waitKey",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cv2.destroyAllWindows",
"l... |
31905942533 | import urllib
from lxml import etree
class Spider(object):
def __init__(self):
self.tiebaName = "java"
self.beginPage = 1
self.endPage = 3
self.url = "http://tieba.baidu.com/f?"
self.ua_header = {'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_3) AppleWebKit/537.... | Gsl201600/XYPythonTest | XYTieBaSpider.py | XYTieBaSpider.py | py | 2,743 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "urllib.parse.urlencode",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "urllib.parse",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "urllib.request.Request",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "urlli... |
17369814684 |
import shodan
from elasticsearch import Elasticsearch
from elasticsearch.client import IndicesClient
from utils.color import Colors
import logging
logging.basicConfig(level=logging.ERROR)
def search (api=None, dork=None, limit=None, offset=None) :
data = []
try:
api = shodan.Shodan(api)
res = api.search(dor... | jimywork/stretcher | utils/elastic.py | elastic.py | py | 2,665 | python | en | code | 94 | github-code | 21 | [
{
"api_name": "logging.basicConfig",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.ERROR",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "shodan.Shodan",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "shodan.APIError",
... |
37761776461 | #! /usr/bin/python3
from .common import MessageBox
from mathutils import Vector, Matrix, Euler
from math import pi, ceil
from . import common
import logging
log = logging.getLogger('bpy.ops.import_mesh.bmd.jnt1')
class Jnt1Header:
size = 24
def __init__(self): # GENERATED!
pass
def LoadData(self,... | niacdoial/blemd | Jnt1.py | Jnt1.py | py | 8,566 | python | en | code | 28 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "common.GLOBALS",
"line_number": 81,
"usage_type": "attribute"
},
{
"api_name": "math.pi",
"line_number": 92,
"usage_type": "name"
},
{
"api_name": "math.pi",
"line_numb... |
36671121425 | import subprocess
import sys
import os
import json
import argparse
from paramiko import SSHClient
from scp import SCPClient
#script input arguments
parser = argparse.ArgumentParser(description="")
parser.add_argument("cfg_filename" , help="Path to the input configuration file")
parser.add_argument("--saveRatioPlot",... | llunerti/hnlTreeAnalyzer | python/make_dataVSmc_comparison.py | make_dataVSmc_comparison.py | py | 8,779 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_n... |
38969508449 | from pyvx.backend import *
from pyvx.nodes import *
from collections import defaultdict
from itertools import combinations
class OptimizedGraph(CoreGraph):
def optimize(self):
self.identify_consumers()
self.identify_relations()
self.merge_elementwise_nodes()
self.ded_code_removal()
... | hakanardo/pyvx | old/pyvx/optimize.py | optimize.py | py | 3,188 | python | en | code | 10 | github-code | 21 | [
{
"api_name": "collections.defaultdict",
"line_number": 14,
"usage_type": "call"
}
] |
28741289342 | # views.py
from django.contrib.auth import login, authenticate
from .forms import CustomUserCreationForm, CustomAuthenticationForm
from django.shortcuts import render, get_object_or_404, redirect
from django.http import HttpResponseRedirect
from django.urls import reverse
from .models import CustomUser, Like
from djang... | zyivan356/Bauminder | datingapp/views.py | views.py | py | 2,274 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.contrib.auth.models.User",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.User.objects.exclude",
"line_number": 14,
"... |
13878111293 | import json
import sys
def parse(fname):
with open(fname) as f:
log = json.loads(f.read())
total_moves, total_time = 0, 0
total_games = 0
max_gen = 0
for gen in log:
max_gen = int(gen['session gen'])
for game in gen['results']:
total_games += 1
tim... | williamh890/checkers-ai | checkers-ai/log_parse.py | log_parse.py | py | 680 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "json.loads",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 29,
"usage_type": "attribute"
}
] |
30424494881 |
import os.path as osp
from os import listdir
import glob
import os
import torch
import numpy as np
from torch_geometric.data import Data
import networkx as nx
from networkx.convert_matrix import from_numpy_matrix
import multiprocessing
from torch_sparse import coalesce
from torch_geometric.utils import remove_self_lo... | zhangyubrain/DGCN | utils/construct_graph.py | construct_graph.py | py | 10,851 | python | en | code | 6 | github-code | 21 | [
{
"api_name": "torch.cumsum",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torch.from_numpy",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.bincount",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torch.cat",
"line_nu... |
71640546612 | #!/usr/bin/python3
"""Check if there are voxels in the 'other' mask (e.g. lesion) that don't
overlap the 'container' mask (e.g. prostate).
"""
import argparse
import numpy as np
import matplotlib.pyplot as plt
import dwi.files
import dwi.mask
import dwi.util
def parse_args():
"""Parse command-line arguments."... | HACKMESEU/DicomBrowser | dwilib/tools/check_mask_overlap.py | check_mask_overlap.py | py | 3,001 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "dwi.files.files.read_pmap",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "dwi.files.files",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name":... |
73029632693 | import logging
from ..utils import get_subclasses
logger = logging.getLogger(__name__)
###############################################################################
class Backend:
""" Base class for all tensor operation backends. Examples of backends are
Keras, Theano, TensorFlow, etc.
"""
###################... | LiuFang816/SALSTM_py_data | python/deepgram_kur/kur-master/kur/backend/backend.py | backend.py | py | 11,674 | python | en | code | 9 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "utils.get_subclasses",
"line_number": 212,
"usage_type": "call"
}
] |
24551859136 | import requests
import json
def fetch(action, url, query):
return json.loads(requests.request(action, url, params = query).text)
class Util:
def __init__(self, api_key, api_token):
self.key = str(api_key)
self.token = str(api_token)
def fetch(self, action, url, query = { }):
query... | BaumGmbH/python-projects | TrelloAPI/API Test/util.py | util.py | py | 1,147 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "json.loads",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "requests.request",
"line_number": 5,
"usage_type": "call"
}
] |
7068949177 | import json
from django.contrib.auth import update_session_auth_hash
from django.contrib.auth.decorators import login_required
from django.contrib.auth.models import User
from django.core import serializers
from django.http import JsonResponse, HttpResponse
from django.shortcuts import render, redirect
from core.models... | jdmmiranda307/PI | professor/views.py | views.py | py | 7,601 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.shortcuts.render",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "core.models.Professor.objects.get",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "core.models.Professor.objects",
"line_number": 32,
"usage_type": "attribute"
... |
11345769414 | import random
import csv
import uuid
import psycopg2
from psycopg2 import sql
from faker import Faker
connection = psycopg2.connect(
host="localhost",
database="postgres",
user="postgres",
password="root"
)
fake = Faker('id_ID')
def generate_user():
# Generate users dummy data
records = 100... | KyrieCettyara/Relational-Database-Pacmann-Mobil-Bekas | generate_dummy.py | generate_dummy.py | py | 5,116 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "psycopg2.connect",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "faker.Faker",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "csv.DictReader",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_... |
19232314100 | import os, sys
from flask import Flask, request
import json
import requests
from airtable import Airtable
#CUSTOM
from utils import KNOWLEDGE_NEURAL , KNOWLEDGE_COLOR, base_key, table_name
app = Flask(__name__)
@app.route('/', methods=['GET'])
def verify():
# Webhook verification
if request.args.get("hub.mode")... | SamJ0282/ImageServiceBot | app.py | app.py | py | 11,419 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.request.args.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask.request.args",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "flask.requ... |
9728229462 | from torchvision import transforms
from easydl import ImageAugmentationConfig
resnet_mean = [0.485, 0.456, 0.406]
resnet_std = [0.229, 0.224, 0.225]
def make_transform_train_v1(image_size=224):
return transforms.Compose([
transforms.RandomResizedCrop(image_size),
transforms.RandomHorizontalFlip()... | xiaonanzzz/easy-deep-learning-pytorch | easydl/image_transform.py | image_transform.py | py | 1,566 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "torchvision.transforms.Compose",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "torchvision.transforms.RandomResizedCrop",
"line_number": 10,
"usage_type": "call"
... |
21249410694 | from setuptools import setup, find_packages
exec(open('plottools/version.py').read())
with open("README.md", "r") as fh:
long_description = fh.read()
setup(
name='plottools',
version=__version__,
author='Jan Benda',
author_email="jan.benda@uni-tuebingen.de",
description='Simplify production o... | bendalab/plottools | setup.py | setup.py | py | 979 | python | en | code | 5 | github-code | 21 | [
{
"api_name": "setuptools.setup",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 26,
"usage_type": "call"
}
] |
22970521029 | from odoo import models, fields, api, _
from odoo.exceptions import ValidationError
import re
import locale
import logging
_logger = logging.getLogger(__name__)
class BaseInformation(models.AbstractModel):
_name = "vnitpro.base.information"
_order = 'activate desc, code asc'
code = fields.Char('Code', si... | tu2305/VNITPro_erp | vnitpro_base/models/base.py | base.py | py | 1,828 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "odoo.models.AbstractModel",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "odoo.models",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "odoo.fields... |
75197613493 | import sys
from collections import deque
input = sys.stdin.readline
dx = [1, -1, 0, 0]
dy = [0, 0, 1, -1]
n, m = map(int, input().split())
grid = list(list(map(int, input().rstrip())) for _ in range(n))
walls = []
for i in range(n):
for j in range(m):
if grid[i][j] == 1:
walls.append((i, j))
... | keeeeeey/baekjoon_algorithm | level23(DFS, BFS)/๋ฒฝ ๋ถ์๊ณ ์ด๋ํ๊ธฐ.py | ๋ฒฝ ๋ถ์๊ณ ์ด๋ํ๊ธฐ.py | py | 964 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.stdin",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "collections.deque",
"line_number": 18,
"usage_type": "call"
}
] |
2561151997 | #!/usr/bin/env python3
import numpy as np
from scipy.linalg import norm
import pandas as pd
import dogs
import scipy
import scipy.io
import matplotlib.pyplot as plt
from matplotlib.pyplot import cm
'''
This script shows the Delta DOGS Adaptive K main code.
Contributors: Shahrouz Ryan Alimo, Muhan Zhao
Modified: Oct. ... | deltadogs/DOGS-python | DeltaDOGS_AdaptiveK.py | DeltaDOGS_AdaptiveK.py | py | 6,577 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "scipy.linalg.norm",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.multiply",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_num... |
31783507185 | """Platform to locally control Tuya-based fan devices."""
import logging
from functools import partial
import voluptuous as vol
from homeassistant.components.fan import (
DOMAIN,
SPEED_HIGH,
SPEED_LOW,
SPEED_MEDIUM,
SPEED_OFF,
SUPPORT_OSCILLATE,
SUPPORT_SET_SPEED,
FanEntity,
)
from .co... | kvazis/homeassistant | custom_components/localtuya/fan.py | fan.py | py | 4,724 | python | en | code | 259 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "voluptuous.Optional",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "const.CONF_FAN_SPEED_CONTROL",
"line_number": 32,
"usage_type": "argument"
},
{
"api_name":... |
4370924822 | import pyttsx3
print("Welcome to RoboSpeaker Programm....")
engine = pyttsx3.init()
engine.say("Ram Ram bhai Saryaa Nu")
engine.runAndWait()
engine.say("Let's start")
engine.runAndWait()
while True:
a = input("What you want me to Speak: ")
if a == "q":
engine.say("Bye Bye")
engine.runAndWait()
... | anandgopalyadav/Text_to_Speak----RoboSpeaker | Source_file.py | Source_file.py | py | 379 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pyttsx3.init",
"line_number": 3,
"usage_type": "call"
}
] |
71270894773 | import requests
with open('็ฅไนcookie') as f:
cookie = f.read()
headers = {
'user-agent': 'Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/27.0.1453.94 Safari/537.36',
'cookie': cookie
}
url = 'https://www.zhihu.com/people/xiao-feng-can-yue-23-1'
r = requests.get(url, head... | Bruceey/Spider_Learning | 16ใไฟกๆฏๆ ก้ชๅ็ฌ่ซ/cookie้ช่ฏ/Test03_็ฅไน็ปๅฝ_ๅฉ็จcookieๅผ.py | Test03_็ฅไน็ปๅฝ_ๅฉ็จcookieๅผ.py | py | 350 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 12,
"usage_type": "call"
}
] |
42956500102 | import socket
import select
import queue
import sys
import os
import re
import datetime
# create UDP socket
server = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
server.setblocking(0)
# Socket Select lists
inputs = [server]
outputs = []
# Server Address H2
server_ip = sys.argv[1]
server_port = ... | Shaun7heSheep/computerNetwork | sor-server.py | sor-server.py | py | 17,312 | python | en | code | 1 | 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_DGRAM",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
... |
32102005782 | from typing_extensions import Self
import psycopg2
sql_select_qry = ("""
SELECT fhp.policy_number, fhp.issue_date, fhp.status, fhp.policy_type, fhfh.funeral_home_name, fhfh.funeral_home_location, fhfh.fh_state, fha.agt_first_name,fha.agt_last_name,fhp.pfa, fhp.growth,fhpi.pi_first_name,fhpi.pi_last_na... | katiebell0190/rapidraccoon | prj_menu_class_dev.py | prj_menu_class_dev.py | py | 2,976 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "psycopg2.connect",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "psycopg2.DatabaseError",
"line_number": 47,
"usage_type": "attribute"
},
{
"api_name": "psycopg2.connect",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "psycopg... |
23295593987 | #!/usr/bin/env python
import dateutil.parser
import dateutil.tz
import feedparser
import re
from datetime import datetime, timedelta
from joblist import JobList
class FilterException(Exception):
pass
class IndeedJobList(JobList):
'''Joblist class for Indeed
This joblist is for the indeed.com rss feed. I... | keisetsu/joblist | indeed.py | indeed.py | py | 5,528 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "joblist.JobList",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "datetime.timedelta",
"line_number": 81,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "datetime.dat... |
17198068859 | import pyttsx3
import datetime #pip install datetime
import speech_recognition as sr #pip install speechRecognition
import wikipedia#pip install wikipedia
import webbrowser
import smtplib
engine = pyttsx3.init('sapi5')
voices = engine.getProperty('voices')
#print(voices[0].id)
engine.setProperty('voice'... | suprabhu77/jarvis-using-python-and-passwordgenerator | jar.py | jar.py | py | 2,687 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "pyttsx3.init",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "speech_reco... |
24078437877 | import matplotlib.pyplot as plt
import matplotlib.image as mpimg
# ๅพ
้ขๆตๅพ็
test_img_path = ['E:\\Paddle\\Paddle-3\\test\\1.jpg']
img = mpimg.imread(test_img_path[0])
# ๅฑ็คบๅพ
้ขๆตๅพ็
plt.figure(figsize=(10,10))
plt.imshow(img)
plt.axis('off')
plt.show()
with open('test/test.txt', 'r') as f:
test_img_pa... | lx88888/PaddlePaddle | Paddle-4/1.py | 1.py | py | 847 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "matplotlib.image.imread",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib.image",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplo... |
71904056692 | import re
import os, os.path
from Bio import SeqIO
from Bio.Seq import Seq
from Bio.SeqRecord import SeqRecord
import subprocess
import pandas
import io
import pymongo
from scipy.cluster.hierarchy import linkage, cut_tree
from scipy.spatial.distance import squareform
def fasta2json(fasta_seq, fasta_file=""):
with... | Augustpan/Bioman | bioman.py | bioman.py | py | 8,011 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "io.BytesIO",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "Bio.SeqIO.parse",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "Bio.SeqIO",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "io.TextIOWrapper",
"line_num... |
40019566088 | import numpy as np
import cv2 as cv
import face_recognition
video_capture = cv.VideoCapture(0, cv.CAP_DSHOW)
# Haar cascade face recognition
haar_cascade = cv.CascadeClassifier('haarcascade_frontalface_default.xml')
face_recognizer = cv.face.LBPHFaceRecognizer_create()
face_recognizer.read('face_trained.yml')
people ... | andreearacovita/face-recognition | face-recognition.py | face-recognition.py | py | 3,487 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.CAP_DSHOW",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "cv2.CascadeClassifier",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.face.LBPHF... |
19473025978 | import os
import json
import datetime
import numpy as np
import pandas as pd
import tensorflow as tf
from scipy import sparse
from sklearn.model_selection import KFold
from public import *
class _AssistDataProcessor:
def __init__(self, userLC, problemLC, timeLC, drop_duplicates = True, remove_nan_skills = True, da... | hyLiu1994/KnowledgeModels | DataProcessor/AssistDataProcessor.py | AssistDataProcessor.py | py | 7,860 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "os.path.join",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 2... |
29899756583 | #!/usr/bin/python3
import argparse
import sys
from multiprocessing import Process, Pipe
import Cryptodome.Random.random as random
from Cryptodome.Cipher import AES
NAME="MASTER"
def log(message):
return NAME + (7-len(NAME))*" "+": "+message
# -- ะะตัะตะธะฝะธัะธะฐะปะธะทะฐัะธั ะบะพะผะฐะฝะดั print ะดะปั multiprocessing --
def print... | IKVSI/cryptopopov | Task17/main.py | main.py | py | 4,731 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.stdout.write",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "sys.stdout.flush",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"l... |
5549152976 | #!/usr/bin/env python
from setuptools import setup, find_packages
install_requires = [
'sockjs-tornado==1.0.0',
'tornado==3.2.2',
'wsgiref==0.1.2',
'argparse',
'umysql==2.61',
]
setup(
name='thunderpush',
version='0.9.7',
author='Krzysztof Jagiello',
author_email='balonyo@gmail.com... | thedeadofblackfire/livepush | setup.py | setup.py | py | 987 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "setuptools.setup",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 18,
"usage_type": "call"
}
] |
25572864595 | #%%
import PyPDF2
import os
import sys
import timeit
import re
import pandas as pd
def test_path():
if os.getcwd()[-6:] == "python":
os.chdir("..")
sys.path.append("./python")
print(os.getcwd())
#%%
def count_keywords(file_name, return_data_frame=True):
file_path = os.path.join("data", "core_p... | graebnerc/DegrowthTwinProblem | python/FullText-PostDevelopment-Search.py | FullText-PostDevelopment-Search.py | py | 2,796 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.getcwd",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.chdir",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 12,
... |
36649095621 | import pygame
import pymunk
import pymunk.pygame_util
import math
import random
from settings import WIDTH, HEIGHT
class Ball():
def __init__(self, space):
self.image = pygame.image.load("Assets/Image/ball.png").convert_alpha()
self.body = None
self.shape = None
self.newBall(space)... | DucAnh1053/HeadSoccerGame | ball.py | ball.py | py | 1,932 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pygame.image.load",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "settings.WIDTH",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "settings.HEIGHT",
... |
71398017012 | # -*- coding: utf-8 -*-
"""
Created on Mon Nov 22 16:24:01 2021
@author: ows18
Script for formatting the BR and BDP results as columns that can be copy-pasted
into the excel spreadhseet with the combined results.
NOTE: Excel spreadsheet musty be closed to update it.
"""
import numpy as np
import pickle
im... | Next-Generation-Neural-Interfaces/Hardware-efficient-MUA-compression | Analyse results/integrate_BR_and_BDP_results_into_excel.py | integrate_BR_and_BDP_results_into_excel.py | py | 10,428 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.array",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": ... |
37161220590 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from flask import jsonify
from flask_bootstrap import Bootstrap
from flask_restful import Api
from Application.app import flask_app
from Library.db_model import DBModelFactory, DBModel
from Library.extensions import orm
from Library.OrmModel.User import User
from Applicati... | zuiwan/CodingHub | Application/api.py | api.py | py | 2,475 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "Application.app.flask_app",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "Application.Contacts.Contacts.ContactsView",
"line_number": 39,
"usage_type": "argument"
},
{
"api_name": "Application.User.User.UserView",
"line_number": 39,
"usage_type"... |
6489351102 | from transformers import AutoTokenizer, AutoModelForSequenceClassification
from datasets import load_dataset
from transformers import TrainingArguments, Trainer
import numpy as np
import evaluate
tokenizer = AutoTokenizer.from_pretrained(
"Hello-SimpleAI/chatgpt-detector-roberta")
model = AutoModelForSequenceClass... | afroz-al/AuthentiCheck | train.py | train.py | py | 1,944 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "transformers.AutoTokenizer.from_pretrained",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "transformers.AutoTokenizer",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "transformers.AutoModelForSequenceClassification.from_pretrained",
"line_n... |
32657646805 | """Spider to srape products from https://www.mrporter.com/en-us/.
The following categories are supported:
- Clothing
- Shoes
- Accessories (incl. bags)
"""
import scrapy
from ..items import ProductItem
from ..loaders.mrporter import MrportertLoader
class MrporterSpider(scrapy.Spider):
"""Spider to... | FSDL-Fashion/fashion_img_search | scraping/scraping/spiders/mrporter.py | mrporter.py | py | 1,786 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "scrapy.Spider",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "loaders.mrporter.MrportertLoader",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "items.ProductItem",
"line_number": 43,
"usage_type": "call"
}
] |
72076217013 | from __future__ import absolute_import, unicode_literals
import celery
app = celery.Celery('tasks', backend='redis', broker='redis://192.168.1.106:6379')
app.conf.update(
result_expires=3600,
)
@app.task
def first():
print("hello world")
@app.task
def add(x, y):
return x + y
| SoyM/ros-tool | celery_test.py | celery_test.py | py | 299 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "celery.Celery",
"line_number": 5,
"usage_type": "call"
}
] |
20600170951 | from flask import Flask, redirect, render_template
import poomsae, wod
app = Flask(__name__)
@app.route('/wod')
def workout():
workouts = wod.get_workout()
return render_template('wod.html', workouts=workouts)
@app.route('/poom')
@app.route('/poom/<int:max_poomsae>')
def show_poomsae(max_poomsae=8):
po... | gugi9000/taekwon | app.py | app.py | py | 859 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "wod.get_workout",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "poomsae.poomsae_list"... |
25357282700 | from django import forms
from django.contrib.auth.models import User
from .models import Balance, SendFund, RequestFund
from django.contrib import messages
class SendFundForm(forms.ModelForm):
class Meta:
model = SendFund
fields = ("sender", "receiver", "sender_currency", "receiver_currency", "amo... | akoredehundeyin/Web-App---Payment-App | transfer/forms.py | forms.py | py | 3,418 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "models.SendFund",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.forms.Te... |
3579303553 | from __future__ import division
import torch
import math
import random
from PIL import Image, ImageOps, ImageEnhance
import numpy as np
import torchvision
from torchvision import datasets, models, transforms
from torchvision.transforms import functional as F
import torch.utils.data as data
import matplotlib.pyplot as... | adityassrana/multimodal-learning | RGBDutils.py | RGBDutils.py | py | 14,526 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "os.listdir",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number... |
30047453813 | import sys
sys.path.append('QtProperty')
sys.path.append('libqt5')
from PyQt5.QtWidgets import QApplication, QLineEdit
from PyQt5.QtCore import (
QTranslator,
QVariant,
QDate,
QTime,
QDateTime,
Qt,
QLocale,
QPoint,
QPointF,
QSize,
QSizeF,
QRect,
QRectF
... | ElCapor/bloxlib-examples | test.py | test.py | py | 8,049 | python | en | code | 14 | github-code | 21 | [
{
"api_name": "sys.path.append",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "sys.path.append",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_numbe... |
35911468031 | # coding=utf-8
from selenium.webdriver import ActionChains
import time
from db.ora.oradao import Oradao
from util.initialize import Initialize
from util.ranchar import ranNo
__author__ = 'Maggie'
class BoInitialize(Initialize):
# ๅๅงๅmember่ฝฌๆขไธบdict
def __init__(self, type=None):
member_sql = '''
... | regend/redriver | util/boInitialize.py | boInitialize.py | py | 3,012 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "util.initialize.Initialize",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "db.ora.oradao.Oradao",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "util.ranchar.ranNo",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "se... |
74433877811 | import argparse
import torch
import numpy as np
from dataset import Dataset
from model import DemParModel, EqualOddModel
from trainer import Trainer
from utils import gen_dataclasses
def get_parser():
parser = argparse.ArgumentParser(description="Benchmarking Differentially Private Fair Deep Learning")
parser... | Eponeshnikov/DPFairDeepLearning | run_training.py | run_training.py | py | 14,105 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "utils.gen_dataclasses",
"line_number": 170,
"usage_type": "call"
},
{
"api_name": "dataset.Dataset",
"line_number": 171,
"usage_type": "call"
},
{
"api_name": "torch... |
17495542593 | #!/usr/bin/env python
# To
# By Yusuke Satoh
# On
import os
import sys
import itertools
import numpy as np
import pandas as pd
import matplotlib as mpl
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
from mpl_toolkits.basemap import Basemap
from matplotlib.ticker import PercentFormatter
import ca... | yusuke61/tfe_scripts | scripts/estimate_effective_non-corr_time.py | estimate_effective_non-corr_time.py | py | 13,117 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "utiltools.get_region_info",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
... |
18354117879 | # coding: utf-8
# An example using startStreams
import numpy as np
import cv2
import sys, time
from pylibfreenect2 import Freenect2, SyncMultiFrameListener
from pylibfreenect2 import FrameType, Registration, Frame
try:
from pylibfreenect2 import OpenCLPacketPipeline
pipeline = OpenCLPacketPipeline()
except:
... | AtsushiHashimoto/KinectOnTheCeiling | PoseEstimation/Script/Preprocessing/RealData/kinect_io.py | kinect_io.py | py | 1,200 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pylibfreenect2.OpenCLPacketPipeline",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pylibfreenect2.CpuPacketPipeline",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pylibfreenect2.Freenect2",
"line_number": 20,
"usage_type": "call"
... |
7997523813 | import cv2
import time
import numpy as np
#set camera
cap = cv2.VideoCapture(1)
#path to output video file
output = 'video.avi'
#set fps
fps = 20
#set codec of output video
fourcc = cv2.VideoWriter_fourcc(*'XVID')
writer = None
(h, w) = (None, None)
while True:
_, frame = cap.read()
if ... | arnon2020/OpenCV-video-record | Record_fullframe.py | Record_fullframe.py | py | 586 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.VideoWriter_fourcc",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "cv2.VideoWriter",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
... |
18940788040 | # Library imports
import streamlit as st
import os
from langchain.llms.openai import OpenAI
from langchain.prompts import PromptTemplate
from langchain.chains import LLMChain
from langchain.tools import DuckDuckGoSearchRun
# Function to generate Video Scripts
def generate_video_script(prompt, video_length, creativit... | suvofalcon/Generative-AI | ZEN-MASTER/pages/4_Video_Script_Writer.py | 4_Video_Script_Writer.py | py | 2,900 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "langchain.prompts.PromptTemplate",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "langchain.prompts.PromptTemplate",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "langchain.llms.openai.OpenAI",
"line_number": 27,
"usage_type": "call"
... |
1953341117 | import pyglet, math
from pyglet.window import key
import resources, physicalobject
sensor_length = 1000
class Sensor:
def __init__(self, angle):
self.dx = math.cos(angle)
self.dy = math.sin(angle)
self.val = sensor_length
class Vehicle(physicalobject.PhysicalObject):
def __init__(self, *args, ... | Heagan/maze | Maze/vehicle.py | vehicle.py | py | 1,781 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "math.cos",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "math.sin",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "physicalobject.PhysicalObject",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "resources.car_ima... |
42583924347 | import pytest
from pandas import DataFrame
SAMPLE_CONFIG = {}
SAMPLE_RESULT_DATA = [
{"table_name": "my_table", "count": 10},
{"table_name": "my_table", "count": 10},
]
@pytest.fixture
def module_under_test():
from data_validation.result_handlers import text
return text
def test_import(module_un... | majacQ/professional-services-data-validator | tests/unit/result_handlers/test_text.py | test_text.py | py | 739 | python | en | code | null | github-code | 21 | [
{
"api_name": "data_validation.result_handlers.text",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "pytest.fixture",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "pandas.DataFrame",
"line_number": 27,
"usage_type": "call"
}
] |
71541886773 | import game_data
import art
import random
import os
print(art.logo)
option_a = random.choice(game_data.data)
option_b = random.choice(game_data.data)
score = 0
user_guess = ''
while True:
print('') if score == 0 else print(f'You are correct ! Current score: {score}')
print(f'Compare A: ' + option_a['name'] + '... | arjun-14/100-days-of-python | day 014/higher_lower.py | higher_lower.py | py | 1,182 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "art.logo",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "random.choice",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "game_data.data",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "random.choice",
"lin... |
39237190521 | # -*- coding: utf-8 -*-
"""
UDP server implemented as the low-level python code here.
This script is used in connection with the LabVIEW code for sending / receiving commands and, moreover,
images. This script is used for testing of capabilities of entire image transfer.
"""
# %% Imports
import socket
import time
impo... | sklykov/sup_lv_proj | LV_Py_img_tr/scripts/UDP_Py_unified.py | UDP_Py_unified.py | py | 6,149 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "socket.socket",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_DGRAM",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros"... |
34172436827 | import sys
import subprocess
import utils
from utils import TraceImporter
import struct
# Functors used for evaluation purposes
class EvalFunctors:
def __init__(self, ProbabilityMap, noEdgeProbability, Mapping, entryTemplate, tracerProcess, traceImpoter):
self.ProbabilityMap = ProbabilityMap
self.... | bitdefender/distributed.tracer | river.genetic/genetic_code/functors.py | functors.py | py | 5,779 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "utils.getNextEntryFromStream",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 119,
"usage_type": "call"
}
] |
1123013611 | # deepsea-ai, Apache-2.0 license
# Filename: config/config.py
# Description: Configuration helper to setup defaults and fetch cloud configuration
import string
import boto3
from configparser import ConfigParser
import datetime as dt
import os
import botocore
from botocore.exceptions import ClientError
from pathlib i... | mbari-org/deepsea-ai | deepsea_ai/config/config.py | config.py | py | 10,725 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "os.path.join",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line... |
39374673641 | ## 1. Introduction ##
import csv
filename = "top100.csv"
def read_data(filename):
f = open(filename, 'r')
data_list = list(csv.reader(f))
# return data_list[1: len(data_list)]
return data_list
def extract_column(data_list, column):
extract_me = []
for data in data_list[1:len(data_list)]:
... | amarlearning/kaggle-machine-learning | Data Science Practice/Iterations and List Comprehensions-300.py | Iterations and List Comprehensions-300.py | py | 3,725 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "csv.reader",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "collections.Counter... |
40402783578 | from typing import List
import cv2
import numpy as np
import time
class ImageProcessing:
# CONFIG
MINLINELENGTH = 300
MAXLINEGAP = 5
SCALEPERCENT = 50
# ENVIRONNEMENT SETTINGS
DEBUG = False
def legend(image, width, height):
cv2.putText(image, "Cars", (width, height), cv2.FONT... | simonbt6/image-processing-lib | processing.py | processing.py | py | 6,412 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "cv2.putText",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "cv2.FONT_HERSHEY_SIMPLEX",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "time.time",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "time.time",
"... |
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