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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1322353770 | from resizer import *
import argparse
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument(
"--src",
type=str,
required=True,
help="The directory of the folder with the image to be resized.",
)
parser.add_argument(
"--width", type=int... | hjk1996/Image-Resizer | main.py | main.py | py | 1,243 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 5,
"usage_type": "call"
}
] |
42243204047 | import numpy as np
import argparse
import sys
import matplotlib.pyplot as plt
from datetime import datetime
max_value = 6
def classify(w, sample):
return (np.sign(np.dot(w, sample)))
def generate_dataset(num_data_points, dimension):
# generate x0 of each data point (always 1)
x0 = np.ones(shape=(num_data... | mjuvilla/ML-UPF-Homework | H1/ml_h1.py | ml_h1.py | py | 4,452 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "numpy.sign",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.dot",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.random.random",
"line_numbe... |
21247224214 | __author__ = 'yuerzx'
import csv
import pymongo
from pymongo import MongoClient
data_client = MongoClient()
data_base = data_client.Locations
#add authenticate for the MongoDB
data_base.authenticate('EZYProperty', '8jshf7asd')
super_c = data_base.supermarket
counter = 0
err_counter = 0
with open("/home/yuerzx/Desktop... | yuerzx/python_information | supermarket_location/import_into_mongodb.py | import_into_mongodb.py | py | 1,237 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "csv.QUOTE_MINIMAL",
"line_number": 15,
"usage_type": "attribute"
}
] |
74753775465 | from prophepy import Mock
from .builtin_matchers import get_matcher
from .exceptions import CustomMatcherError
from .utils import map_for_dict, reveal_if_needed
class Subject:
'''
This class represents the specced object.
'''
def __init__(self, value, object_behavior):
'''
It is instanc... | Einenlum/specify | specify/subject.py | subject.py | py | 2,436 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "exceptions.CustomMatcherError",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "builtin_matchers.get_matcher",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "utils.reveal_if_needed",
"line_number": 63,
"usage_type": "argument"
},
{
... |
69829306344 | from torchvision import transforms, datasets
import h5py
import os
import numpy as np
import torch
from torch.utils.data.dataset import Dataset
from torch.utils.data import DataLoader
#参考：https://blog.csdn.net/shwan_ma/article/details/100012808
#https://github.com/pbizopoulos/signal2image-modules-in-deep-neural-networ... | im-wll/EEG-process | dataset/dataloader.py | dataloader.py | py | 3,865 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "torch.utils.data.dataset.Dataset",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "h5py.File",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.copy",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",... |
70808020583 | from flask import Flask, request, jsonify
from a_entities.bank_account import BankAccount
from a_entities.customer import Customer
from b_data_access_layer.postgres_bank_account_dao import BankAccountPostgresDAO
from b_data_access_layer.postgres_customer_dao import CustomerPostgresDAO
from c_service_layer.postgres_ban... | bluedragonscales/project0_banking | main.py | main.py | py | 7,753 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.basicConfig",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "flask.Flask",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "b_data_access_laye... |
24537866239 | from operator import itemgetter, add
from pathlib import Path
banks = list(map(int, Path("day6.txt").read_text().split()))
n, history = len(banks), {}
while tuple(banks) not in history:
history[tuple(banks)] = len(history)
i, mx = max(enumerate(banks), key = itemgetter(1))
banks[i] = 0
for i in range(i + 1, i... | AlexBlandin/Advent-of-Code | 2017/day6.py | day6.py | py | 675 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pathlib.Path",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "operator.itemgetter",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "operator.add",
"line_number": 15,
"usage_type": "argument"
}
] |
8882346001 | import simplejson as json
from datetime import datetime
DEBUG = False
# Zigbee catch-all decoder, just adds the following properties:
# Only changes topic:
# csn-zigbee/acp_id -> acp/acp_id/csn-zigbee
class Decoder(object):
def __init__(self, settings=None):
print(" zigbee_catchall init()")
re... | AdaptiveCity/acp_local_mqtt | acp_decoders/decoders/zigbee_catchall.py | zigbee_catchall.py | py | 1,788 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "simplejson.loads",
"line_number": 54,
"usage_type": "call"
}
] |
29391322952 | from collections import defaultdict
class Solution:
def longestStrChain(self, words: List[str]) -> int:
n = len(words)
words.sort(key=lambda word: len(word))
graph = defaultdict(set)
for i, word in enumerate(words):
for j in range(len(word)):
graph[word... | AnotherPianist/LeetCode | 1129-longest-string-chain/1129-longest-string-chain.py | 1129-longest-string-chain.py | py | 587 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "collections.defaultdict",
"line_number": 8,
"usage_type": "call"
}
] |
21254500663 | import json
import boto3
from datetime import datetime
current_date_time = datetime.now()
sqs = boto3.resource('sqs', region_name='us-east-1')
def lambda_handler(event, context):
queue = sqs.get_queue_by_name (QueueName='CustomerOrders')
date_time = current_date_time.strftime("%d/%m/%Y %H:%M:%S")
... | tmachek98/python-boto3 | Lambda.py | Lambda.py | py | 563 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "datetime.datetime.now",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "boto3.resource",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "json.dumps",
... |
11875963511 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Mar 17 12:34:56 2019
@author: stark
"""
import requests
from PageLinker import LinkFinder
from domain import *
from utility import *
class Spider:
projectName = ''
baseURL = ''
domainName = ''
queueFile = ''
crawledFile = ''
... | pandafy/WebCrawler | spider.py | spider.py | py | 3,354 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "PageLinker.LinkFinder",
"line_number": 64,
"usage_type": "call"
}
] |
1653425451 | import numpy
import matplotlib.pyplot as plt
import pylab
import dcf
import utility as util
import logistic_regression as lr
import svm
from tqdm import tqdm
from copy import deepcopy
from preprocessing import preprocess_Z_score
import matplotlib
# ======================================== FEATURES plots ============... | srrmtt/GenderVoiceDetection | plot.py | plot.py | py | 19,657 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "matplotlib.pyplot.Figure",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.xlabel",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "m... |
3273808823 | # This is a sample Python script.
#########################################: Please Don't Change :#######################################
import logging
import os
import sys
from datetime import datetime
sys.path.append(
"/home/sonu/workspace/pro/component/"
)
sys.path.append(
"/home/sonu/workspace/pro/utils/... | rajeshraj124/advanced_logger_with_single_place_credentials | pro_sample/main.py | main.py | py | 1,997 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.path.append",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "sys.path.append",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_numb... |
34796334569 | from django.urls import resolve, reverse
from .. import views
from .test_recipes_base import RecipesTestBase
class RecipesSearchViewTest(RecipesTestBase):
def test_search_view_function_is_correct(self):
view = resolve(reverse('recipes:search'))
self.assertIs(view.func, views.search)
def test... | giovcandido/django-course-project1 | recipes/tests/test_recipes_search_view.py | test_recipes_search_view.py | py | 1,872 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "test_recipes_base.RecipesTestBase",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.urls.resolve",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.reverse",
"line_number": 9,
"usage_type": "call"
},
{
"api_name":... |
22869043882 | import pygame, sys #기본세팅
import random, time #내가 추가한 것
from pygame.locals import *
#Set up pygame.
pygame.init()
#상수 정의
SCREEN =8
BLACK = (0,0,0)
GREEN = (0, 128, 0)
WHITE = (255, 255, 255)
BLUE = (0,0,255)
RED = (255,0,0)
YELLOW = (255,204,51)
screen = pygame.display.set_mode((600,400), 0,32)
pyg... | Choiseungpyo/Othello_Python | Othello.py | Othello.py | py | 22,209 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pygame.init",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "pygame.display... |
30800987858 | print('1')
#from src.__init__ import main
from flask import Flask, request
from flask_restx import Api, Namespace, fields, Resource
## local
from settings import model_path, vocab_path, cnn_path
from torch import nn
# from src.controller.analyzeController import Analyze
from src.controller.keywordController import ... | hmcck27/pshelper-server | src/app_for_server.py | app_for_server.py | py | 6,957 | python | ko | code | null | github-code | 36 | [
{
"api_name": "load_models.koBERT_CNN_Classifier",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "settings.model_path",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "settings.vocab_path",
"line_number": 20,
"usage_type": "name"
},
{
"api_nam... |
73811093863 | import logging
logger = logging.getLogger(__name__)
def app(environ, start_response):
path = environ.get('PATH_INFO', '')
if path == '/exception':
raise Exception('My exception!')
data = "Request on %s \n" % path
logger.info(data, extra={'tags': ['role:web', 'env:prod']})
start_response... | sebest-blog/gunicorn-with-docker | myapp.py | myapp.py | py | 453 | python | en | code | 15 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 4,
"usage_type": "call"
}
] |
1783613538 | import sqlite3
import time
from telethon import TelegramClient
from telethon import sync, events
import re
import json
db = sqlite3.connect('Account.db')
cur = db.cursor()
x = 1
m = 0
while(True):
if x == 23:
print("Всего добыто:")
print(m)
break
cur.execute(f"SELECT PHONE FROM Accou... | Black-Triangle-code/Telegram_coin_bot | balance.py | balance.py | py | 1,310 | python | en | code | 123 | github-code | 36 | [
{
"api_name": "sqlite3.connect",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": ... |
71903174184 | #! /usr/bin/env python
import matplotlib.pyplot as plt
from scipy.fftpack import fft
from scipy.io import wavfile # get the api
from scipy.signal import fftconvolve, convolve, stft, butter
import numpy as np
from scipy import signal
import warnings
warnings.filterwarnings("ignore")
from numpy import array, diff, where... | buoyancy99/BobaBot | voice_utils/src/old_detection.py | old_detection.py | py | 5,313 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "numpy.average",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "numpy.split",
... |
37290989369 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('user_profile', '0003_remove_userprofile_title'),
]
operations = [
migrations.CreateModel(
name='RegistrationPath... | bitapardaz/diabet | user_profile/migrations/0004_auto_20171023_0837.py | 0004_auto_20171023_0837.py | py | 952 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.CreateModel",
"line_number": 14,
"usage_type": "call"
},
... |
14302599067 | import os
import cv2 as cv
import numpy as np
people = []
for i in os.listdir(r'C:\Users\Atul\Downloads\OpenCV_course\opencv-course-master\Resources\Faces\train'):
people.append(i) #each folder in the faces folder corresponds to one person ben affleck,mindy,etc and name of folder is person's name so we store tar... | ajinkeya17/OpenCV-Course | Codebase/face_recognition_training.py | face_recognition_training.py | py | 2,247 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.listdir",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.CascadeClassifier",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numb... |
5784254080 | from unittest import mock
import bson
import pytest
from test.tools import anything, in_any_order
from slivka import JobStatus
from slivka.db.documents import JobRequest, ServiceState
from slivka.db.helpers import delete_many, insert_many, pull_many
from slivka.scheduler import Runner, Scheduler
from slivka.scheduler... | bartongroup/slivka | test/scheduler/test_scheduler.py | test_scheduler.py | py | 8,266 | python | en | code | 7 | github-code | 36 | [
{
"api_name": "slivka.scheduler.Runner",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "slivka.scheduler.runners.RunnerID",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "unittest.mock.patch.object",
"line_number": 32,
"usage_type": "call"
},
{
... |
12420365719 | from django.urls import path
from . import views
# register app namespace which is going to be used in URL names
app_name = "my_app"
urlpatterns = [
path("", views.example_view, name="example"),
path("variable/", views.variable_view, name="variable")
] | felixdusengimana/python-django-web-development | 04 Templates/template_study/my_app/urls.py | urls.py | py | 262 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
}
] |
23702247236 | # -*- coding: utf-8 -*-
from __future__ import division, print_function, unicode_literals
__all__ = ["IterativeTwoDSearch"]
import os
import h5py
import numpy as np
from .two_d_search import TwoDSearch
from ._grid_search import grid_search
class IterativeTwoDSearch(TwoDSearch):
cache_ext = ".h5"
query_pa... | dfm/ketu | ketu/iterative.py | iterative.py | py | 4,714 | python | en | code | 10 | github-code | 36 | [
{
"api_name": "two_d_search.TwoDSearch",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "numpy.log",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"lin... |
16178639967 | # -*- coding: utf-8 -*-
from high2low import Changer_low as ch_low
import utils as util
#from low2high import Changer_high as ch_high
import is_horl as is_horl
txt = input("Enter Korean Sentence: ")
ch = ch_low()
#ch_high = ch_high()
hi = is_horl.isHigh()
detect=hi.isThisHigh(txt)
# 높임말
if detect ==1:
hi.getSta... | joowhan/Translation_Project | lab/highlow_factory/ver3_chari/src/test.py | test.py | py | 523 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "high2low.Changer_low",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "is_horl.isHigh",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "utils.tohigh",
"line_number": 23,
"usage_type": "call"
}
] |
32274499758 | #!/opt/csw/bin/python
# coding=utf-8
import re
import fileinput
from time import time
from datetime import datetime
urlRe = re.compile('(http://www\.|https://www\.|http://|https://|www\.)(?P<link>\S+)')
youtubeUrlRe = re.compile('(youtube\.com/watch\?v=|youtube\.com/watch\?.*&v=|youtu.be/)(?P<id>[A-Za-z0-9_-]{11})')
... | sviik/marju | plugin/interceptor/old/__init__.py | __init__.py | py | 2,001 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "re.compile",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.fromtimestamp",
... |
31524008748 | import fitz
from loguru import logger
def get_page_from_sheet(sheet: str, pdf_fpath=None, doc=None):
"""
Get the page number from the sheet.
"""
if (pdf_fpath is not None) and (doc is not None):
raise ValueError("Only one of pdf_fpath or doc can be specified.")
if pdf_fpath:
doc =... | fuzzy-tribble/meche-copilot | meche_copilot/pdf_helpers/get_page_from_sheet.py | get_page_from_sheet.py | py | 1,478 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "fitz.open",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "fitz.Rect",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "fitz.Rect",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "fitz.Rect",
"line_number": 23,
... |
15698017832 | from django.shortcuts import render
from rest_framework.permissions import IsAuthenticated
from rest_framework.response import Response
from rest_framework import status
from rest_framework.views import APIView
from rest_framework.permissions import IsAuthenticated
from django.db.models import Q
from .serializer impor... | mohammad-reza-sasani/online-shop-react-django | backend/comment/views.py | views.py | py | 2,202 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "rest_framework.pagination.PageNumberPagination",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "rest_framework.generics.ListAPIView",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.generics",
"line_number": 25,
"usa... |
1147807834 | """empty message
Revision ID: b7c0cfa43719
Revises: 25279a0b5c75
Create Date: 2016-11-02 00:02:18.768539
"""
# revision identifiers, used by Alembic.
revision = 'b7c0cfa43719'
down_revision = '25279a0b5c75'
from alembic import op
import sqlalchemy as sa
def upgrade():
### commands auto generated by Alembic - ... | CodeForProgress/sms-app | src/migrations/versions/b7c0cfa43719_.py | b7c0cfa43719_.py | py | 760 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "alembic.op.add_column",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.String"... |
8806299537 | from django.test import TestCase
from django.urls import resolve
from django.http import HttpRequest
from django.template.loader import render_to_string
from django.utils.html import escape
from lists.views import home_page, view_list
from lists.models import Item, List
from lists.forms import STR_EMPYT_LIST_ERROR, It... | juewuer/python-web-dev | superlists/lists/tests/test_views.py | test_views.py | py | 7,695 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.test.TestCase",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "django.test.TestCase",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "django.urls.resolve",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "lists.v... |
42866864407 | """
3
/ \
9 20
/ \
15 7
return its zigzag level order traversal as:
[
[3],
[20,9],
[15,7]
]
"""
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
# Definition for a binary tree node... | allen791210/LeetCode | 103_Binary_Tree_Zigzag_Level_Order_Traversal.py | 103_Binary_Tree_Zigzag_Level_Order_Traversal.py | py | 1,289 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "collections.deque",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 38,
"usage_type": "call"
}
] |
3237711712 | from django.db import models
from rest_framework import serializers
gender=(
("male","Male"),
("female","Female"),
)
status=(
("Done","Done"),
("Pending","Pending"),
)
Data=(
("share_all_data","Share All Data"),
("share_alerts_only","Share Alerts Only"),
)
communication=(
("email","Email"),... | AdnanSiddiqui96/Projects-Backup | TestProject/Patient/models.py | models.py | py | 15,374 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.db.models.Model",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "django.db.models.AutoField",
"line_number": 35,
"usage_type": "call"
},
{
"api_name"... |
5663610357 | import methods
import matplotlib.pyplot as plt
def func(x, y):
return 1 + 1.8*y*methods.np.sin(x) - y**2
x0 = 0
y0 = 0
x_end = 6
h = 0.1
x1, y1, h = methods.runge_kutta(x0, y0, x_end, func, h, True)
x1_halved, y1_halved = methods.runge_kutta(x0, y0, x_end, func, h/2, False)
x2, y2 = methods.adams(x1[:4], y1[:4]... | Melkye/Labs | Math/Lab8_Koshi_problem/Lab8_Koshi_problem/Lab8_Koshi_problem.py | Lab8_Koshi_problem.py | py | 1,270 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "methods.np.sin",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "methods.np",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "methods.runge_kutta",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "methods.runge_kutta"... |
25917900708 | from __future__ import print_function
import argparse
import random
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from os import listdir
from os.path import join
from moviepy.editor import *
model = torch.hub.load('pytorch/vision', 'deeplabv3_resnet101', ... | WhiteNoise/deep-bgremove | createmask.py | createmask.py | py | 2,592 | python | en | code | 61 | github-code | 36 | [
{
"api_name": "torch.hub.load",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.hub",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "torch.FloatTensor",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_availab... |
22420951914 | from django.shortcuts import render,redirect
from django.contrib import messages
from .models import Courses
def new(request):
context = {
'course': Courses.objects.all()
}
return render(request, 'new.html', context)
def create(request):
errors = Courses.objects.basic_validator(request.P... | Wendy-Wu-Chiang/Python_stack | django/full_stack_django/courses_proj/courses_app/views.py | views.py | py | 952 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "models.Courses.objects.all",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "models.Courses.objects",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "models.Courses",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "dj... |
8195166573 | from PIL import Image, ImageOps, ImageDraw, ImageFont
from bot.config import PICS_DIRECTORY, QUOTATION_DATABASE
import textwrap
import sqlite3
import random
import os
import io
def get_random_quote():
conn = sqlite3.connect(QUOTATION_DATABASE)
cursor = conn.cursor()
count = cursor.execute('SELECT COUNT(... | Ku6iKRu6Ika/quote-bot | bot/utils.py | utils.py | py | 1,504 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sqlite3.connect",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "bot.config.QUOTATION_DATABASE",
"line_number": 12,
"usage_type": "argument"
},
{
"api_name": "random.randint",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "PIL.... |
26634573192 | import requests
def request_demo():
url = "https://qyapi.weixin.qq.com/cgi-bin/gettoken"
param = {
"corpid":"ww93348658d7c66ef4",
"corpsecret":"T0TFrXmGYel167lnkzEydsjl6bcDDeXVmkUnEYugKIw"
}
proxy = {
"http": "http://127.0.0.1:8080",
"https": "http://127.0.0.1:8080"
}... | ceshiren/HogwartsSDET17 | test_mock/requests_demo.py | requests_demo.py | py | 447 | python | en | code | 7 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 12,
"usage_type": "call"
}
] |
19651817490 | from binance.client import Client
import pandas as pd
import matplotlib.pyplot as plt
import ta
data = Client().get_historical_klines("BTCUSDT", Client.KLINE_INTERVAL_1DAY, "01 JANUARY 2018")
df = pd.DataFrame(data, columns = ['timestamp', 'open', 'high', 'low', 'close', 'volume', 'close_time', 'quote_av', 'trad... | RaphaelFontaine/Trading | src/moving_average_crossing.py | moving_average_crossing.py | py | 1,984 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "binance.client.Client",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "binance.client.Client.KLINE_INTERVAL_1DAY",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "pandas.DataFrame",
"line_number": 7,
"usage_type": "call"
},
{
... |
10073007087 | import numpy as np
import json
import timeit
import os
import argparse
from pathlib import Path
import sys
from shapely.geometry import Polygon
import numpy as np
import numba
from inspect import getmembers
sys.path.append(os.path.realpath('hausdorff'))
from hausdorff_dist import hausdorff_distance
sys.path.append(o... | PhanVinhLong/vehicle-counting-aichcmc2020 | count2.py | count2.py | py | 6,482 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "sys.path.append",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_nu... |
72311226344 | import os
import subprocess
from src.manager.manager.launcher.launcher_interface import ILauncher, LauncherException
from src.manager.manager.docker_thread.docker_thread import DockerThread
from src.manager.libs.process_utils import wait_for_xserver
from typing import List, Any
import time
class LauncherDronesRos2(ILa... | JdeRobot/RoboticsApplicationManager | manager/manager/launcher/launcher_drones_ros2.py | launcher_drones_ros2.py | py | 2,530 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "src.manager.manager.launcher.launcher_interface.ILauncher",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 14,
"usage_type": "name"
},
{
"... |
11883990410 | from lcp.core.interfaces.module import Module
from lcp.modules.camerafeed.camera_feed import CameraFeed
import cv2 as cv
import _thread
class FaceDetector(Module):
__name = "Face Detector"
__version = "1.0"
__dependencies = [CameraFeed]
def __init__(self, config):
super().__init__(self.__name... | huybthomas/LCP-Core-Old | src/lcp/modules/facedetector/face_detector.py | face_detector.py | py | 1,900 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "lcp.core.interfaces.module.Module",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "lcp.modules.camerafeed.camera_feed.CameraFeed",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "cv2.CascadeClassifier",
"line_number": 26,
"usage_type": "... |
70666328104 | import xml.etree.ElementTree as ET
bd=ET.Element("base")
ventana=ET.SubElement(bd,"ventana", name="ventana-consultas")
ventana_hide=ET.SubElement(ventana,"ventana-hide",)
ventana_hide.set("option-hide","false")
ET.dump(bd)
tree = ET.ElementTree(bd)
tree.write("C:/Users/ricar/Desktop/pruebas v1/pruebasv1.xml")
estruc... | ColqueRicardo/v-version | pruebas/pruebas aisladas/archivos xml.py | archivos xml.py | py | 829 | python | es | code | 0 | github-code | 36 | [
{
"api_name": "xml.etree.ElementTree.Element",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "xml.etree.ElementTree.SubElement",
"line_number": 4,
"usage_type": "call"
},
{
... |
42360576812 | """
__title__ = ''
__author__ = 'Thompson'
__mtime__ = '2018/5/23'
# code is far away from bugs with the god animal protecting
I love animals. They taste delicious.
┏┓ ┏┓
┏┛┻━━━┛┻┓
┃ ☃ ┃
┃ ┳┛ ┗┳ ┃
┃ ┻ ┃
┗━┓ ┏━... | hwzHw/python37 | day0109/requests_04_代理IP.py | requests_04_代理IP.py | py | 1,014 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 29,
"usage_type": "call"
}
] |
2080670146 | # -*- coding : utf-8 -*-
import numpy as np
import torch
from torch import nn
class DNN(nn.Module):
def __init__(self,args):
super().__init__()
self.outDim = args.outDim
self.seqLen = args.seqLen
self.hiddenDim1 = args.hiddenDim1
self.hiddenDim2 = args.hiddenDim2
se... | Ylizin/RWSim | ylSim/DNN.py | DNN.py | py | 1,213 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "torch.nn.Module",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "torch.nn.Linear",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numb... |
5049970089 | import copy
import json
import math
import struct
from functools import partial
from pathlib import Path, PosixPath
import numpy as np
# isort: off
import torch
import tensorrt as trt
# isort: on
# numpy doesn't know bfloat16, define abstract binary type instead
np_bfloat16 = np.dtype('V2', metadata={"dtype": "bfloa... | NVIDIA/TensorRT-LLM | tensorrt_llm/_utils.py | _utils.py | py | 6,159 | python | en | code | 3,328 | github-code | 36 | [
{
"api_name": "numpy.dtype",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.Tensor",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "torch.Tensor",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "torch.bfloat16",
... |
28121817798 | import tornado.httpserver
import tornado.ioloop
import tornado.web
import tornado.options
import settings
from handlers import *
def make_app():
db = None
handlers = [
(r"/", MainHandler),
(r"/covert", CovertHandler)
]
config = {"template_path":settings.TEMPLATE_PATH, "static_path":settings.ASS... | caroltc/lrc2srt | app.py | app.py | py | 672 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "settings.TEMPLATE_PATH",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "settings.ASSETS_PATH",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "settings.COOKIE_SECRET",
"line_number": 14,
"usage_type": "attribute"
},
{
... |
19782973821 | from datetime import datetime
from scipy import misc
import tensorflow as tf
import os
import src.facenet.detect_face
import cv2
import matplotlib.pyplot as plt
from helper import get_images_from_file_list, get_box_from_ellipse
import math
import pickle
import dlib
# ============================================
# Glob... | ryan-mccaffrey/glasses-for-everyone | detect_face.py | detect_face.py | py | 18,364 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "cv2.CascadeClassifier",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "dlib.get_frontal_face_detector",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "cv2... |
23077134371 | from spa.clientside.asyncdbhandler import CAsyncDBHandler
from spa import BaseServiceID, tagBaseRequestID
class CPostgres(CAsyncDBHandler):
# Asynchronous and SQL streaming postgreSQL service id
sidPostgres = BaseServiceID.sidReserved + 0x6FFFFFF4
"""
An Open flag option, which is specific to PostgreS... | udaparts/socketpro | bin/spa/clientside/upostgres.py | upostgres.py | py | 1,257 | python | en | code | 27 | github-code | 36 | [
{
"api_name": "spa.clientside.asyncdbhandler.CAsyncDBHandler",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "spa.BaseServiceID.sidReserved",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "spa.BaseServiceID",
"line_number": 6,
"usage_type": "name"... |
29647725517 | import sqlite3
import pandas as pd
import time
import sys
from drugbank.drugbank_index_query import drugbank_search
from hpo.hpo_index_query import hpo_search
from omim.omim_index_query import omim_search
from stitch.stitch_chemical_sources_index_query import stitch_chemical_sources_search
from stitch.stitch_br08303_i... | Hamza-ABDOULHOUSSEN/gmd2k22 | python/data_query.py | data_query.py | py | 7,485 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sqlite3.connect",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "hpo.hpo_index_query.hpo_search",
"line_number": 85,
"usage_type": "call"
},
{
"api_name": "drugba... |
70489044264 | import pytest
from unittest.mock import AsyncMock, patch
from api.exceptions import InvalidParameterError
from crawler.default.instances.second_instance import SecondInstance
# Mock para a resposta do ClientSession
mock_response = AsyncMock()
mock_response.text.return_value = 'Sample Text'
@pytest.mark.asyncio
async... | BrunoPisaneschi/JusBrasil | tests/unit/crawler/default/instances/test_second_instance.py | test_second_instance.py | py | 921 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "unittest.mock.AsyncMock",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "crawler.default.instances.second_instance.SecondInstance",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pytest.raises",
"line_number": 15,
"usage_type": "call"
... |
31618419583 | import torch
from pathlib import Path
import copy
import time
import torch.nn.functional as F
import matplotlib.pyplot as plt
import numpy as np
import pdb
import skimage
from distutils.version import LooseVersion
from skimage.transform import resize as sk_resize
device = torch.device("cuda:0" if torch.cuda.is_availab... | hariharan98m/ischemic-stroke-detection | fcn_roialign/master2/utils.py | utils.py | py | 10,688 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torch.device",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "distutils.versio... |
12486515502 | import cv2
from datetime import datetime, timedelta
import geojson
from geotiff import GeoTiff
from models import Model0
import netCDF4
import numpy as np
import pandas as pd
import os
from os import path
from scipy import interpolate
from scipy.io import loadmat, savemat
import torch
import wget
import... | drivendataorg/snowcast-showdown | 1st Place/src/features/constfeatures.py | constfeatures.py | py | 13,858 | python | en | code | 12 | github-code | 36 | [
{
"api_name": "numpy.cos",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.radians",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 22,... |
74949364585 | import matplotlib.pyplot as plt
import numpy as np
import torch
from torch import nn
from RNN_torch.model import RNN
# Hyper parameters
BATCH_SIZE = 64
EPOCH = 1
TIME_STEP = 28 # 考虑多少个时间点的数据
INPUT_SIZE = 1 # 每个时间点给RNN多少个数据点
LR = 0.01
rnn = RNN(INPUT_SIZE)
print(rnn)
optimizer = torch.optim.Adam(r... | xjtulyc/PKU_Weekly_Summary_repo | 20220719/cs231n assignment/assignment_3.py | assignment_3.py | py | 1,352 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "RNN_torch.model.RNN",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.optim.Adam",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.optim",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.MSELos... |
19509126438 | import pandas as pd
import requests
from datetime import datetime
DISCORD_URL = "https://discord.com/api/v9/invites/UQZpTQbCT4?with_counts=true"
STARTED_AT = datetime.now()
request = requests.get(DISCORD_URL)
data = request.json()
new_dataframe = pd.json_normalize(data, max_level=2)
new_dataframe["_started_at"] =... | ndrluis/soberana-data-poc | extract/scripts/discord.py | discord.py | py | 566 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "datetime.datetime.now",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.json_normali... |
70955291624 | """add admin flag to user
Revision ID: dd535b1f37a1
Revises: 4519159d3019
Create Date: 2019-01-06 13:39:21.042745
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'dd535b1f37a1'
down_revision = '4519159d3019'
branch_labels = None
depends_on = None
def upgrade(... | euphwes/cubers.io | migrations/versions/014_dd535b1f37a1_add_admin_flag_to_user.py | 014_dd535b1f37a1_add_admin_flag_to_user.py | py | 797 | python | en | code | 27 | github-code | 36 | [
{
"api_name": "alembic.op.batch_alter_table",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.... |
5987566968 | from django.urls import path
from .views import ListingsView, ListingView, SearchView
# Declare the URL for the listings app here.
urlpatterns = [
path('', ListingsView.as_view(),name="ListALL"),
path('search', SearchView.as_view()),
path('<slug>', ListingView.as_view()), # Used for lising... | testusername190/Realest_Estate_Backend | backend/listings/urls.py | urls.py | py | 374 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "views.ListingsView.as_view",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "views.ListingsView",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.ur... |
4084609951 | import customtkinter as ctk
class ConfirmDeleteOldestBackupDialog(ctk.CTkToplevel):
def __init__(self, parent, controller, *args, **kwargs):
super().__init__(parent, *args, **kwargs)
# Configure variables
self.controller = controller
self.label_text = "You are only allowed 10 back... | berndklare/flashcards | dialogs/confirm_delete_oldest_backup_dialog.py | confirm_delete_oldest_backup_dialog.py | py | 1,389 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "customtkinter.CTkToplevel",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "customtkinter.CTkLabel",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "customtkinter.CTkButton",
"line_number": 26,
"usage_type": "call"
},
{
"api_... |
11917002254 | from django.db import models
from django.db import models
from django.utils import timezone
from django.contrib.auth.models import User
import uuid
from users.models import Profile
from ckeditor.fields import RichTextField
# Create your models here.
def user_directory_path(instance,filename):
return 'blogs/{0}/{1... | minarefaat1002/blog_website | blogs project/blog/models.py | models.py | py | 2,654 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.db.models.Model",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 15,
"usage_type": "call"
},
{
"api_name"... |
4863814184 | import numpy as np
import pandas as pd
import itertools
from sklearn import metrics
from sklearn.model_selection import GridSearchCV
from sklearn.model_selection import StratifiedKFold
from sklearn.model_selection import cross_val_score
# models that are being considered
from sklearn.ensemble import AdaBoostCla... | grikkaq/ml_hw5 | elections_results.py | elections_results.py | py | 7,045 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sklearn.metrics.accuracy_score",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "sklearn.metrics.f1_score",
"line_number": 51,
"usage_type": "call"
},
{
"api_name"... |
28512647903 | # Import libraries
import numpy as np
import pandas as pd
pd.options.mode.chained_assignment = None
from sqlalchemy import create_engine
from googlesearch import search
from tqdm import tqdm
tqdm.pandas()
# Read data
df = pd.read_csv('data/user-item-interactions.csv')
df_content = pd.read_csv('data/articles.csv')
del ... | sameedakber-ai/ibm-recommendations-2 | data/process_data.py | process_data.py | py | 2,578 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.options",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "tqdm.tqdm.pandas",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "pandas.read_csv",
"li... |
26166080106 | import argparse
import os
import cv2
import matplotlib.pyplot as plt
import maxflow
import networkx as nx
import numpy as np
class GraphCuts:
def __init__(self, src, target, mask, save_graph=False):
"""
Initialize the graph and computes the min-cut.
:param src: image to be blended
... | c1a1o1/graphcut-textures | src/graphcut_textures.py | graphcut_textures.py | py | 7,197 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "maxflow.Graph",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "numpy.array_equal",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "numpy.inf",
"line_number": 56,
"usage_type": "attribute"
},
{
"api_name": "numpy.array_equal... |
38191743871 | import json
leer = []
for linea in open('202006_movements.json','r'):
leer.append(json.loads(linea))
#print (linea)
datos = []
def leer():
for linea in open('202006_movements.json','r'):
datos.append(json.loads(linea))
def recogidasPorPunto():
resultado = dict()
for obj in d... | dalevale/GIW2020-21 | practica2.py | practica2.py | py | 1,371 | python | es | code | 0 | github-code | 36 | [
{
"api_name": "json.loads",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 11,
"usage_type": "call"
}
] |
22161452898 | #!/usr/bin/env python3
import glob
import os.path
import re
import statistics
import sys
from collections import defaultdict
from typing import List, Dict
"""
USAGE:
./simple_spec_summary.py # all files in /spec/result/
./simple_spec_summary.py 1 10 # result 1-10 from /spec/result/
./simple_Spec_summary.py <list>... | typro-type-propagation/TyPro-CFI | scripts/simple_spec_summary.py | simple_spec_summary.py | py | 3,896 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "typing.List",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "collections.defaultdict",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "os.path.path.exists",... |
25714644305 | import numpy as np
import matplotlib.pyplot as plt
def plot_with_exponential_averaging(x, y, label, alpha):
y_ema = [y[0],]
for y_i in y[1:]:
y_ema.append(y_ema[-1] * alpha + y_i * (1 - alpha))
p = plt.plot(x, y_ema, label=label)
plt.plot(x, y, color=p[0].get_color(), alpha=0.2)
def... | olenmg/dopamine-rl | utils/plot.py | plot.py | py | 804 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplot... |
72287095464 | #!/usr/local/python3/bin/python3
import sys
sys.path.append("..")
import tushare as ts
import re
import datetime
import basicdata.basic_mgr as sk
import time
import os
import pandas as pd
g_update_newest=False #True|False
#是否下载最新的概念，一般不需要
g_ctcode_name=None
#g_ctcode_name['TS56']='电改'
g_tscode_concept=None
#g_tscode... | haianhua/stock | stock/conceptdata/concept_mgr.py | concept_mgr.py | py | 2,624 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.path.append",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "basicdata.basic_mgr.get_tscodes",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "basicdata... |
43109381353 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Apr 18 21:28:29 2021
@author: apolloseeds
"""
from dataset import *
import matplotlib.pyplot as plt
import numpy as np
from scipy.io import loadmat
from sklearn import model_selection
from toolbox_02450 import train_neural_net, draw_neural_net, visual... | ralph-elhaddad/02450-Intro-ML | Project2/2b.py | 2b.py | py | 7,248 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sklearn.model_selection.KFold",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 34,
"usage_type": "call"
},
{
"api_nam... |
35018437018 | import line
import cv2
import time
import serial
# Camera
vid = cv2.VideoCapture(0)
# Elegoo
power_forward = 100
power_sideway_minimal = 130
power_sideway_maximal = 200
compteur = 0
ips = 0
after = time.time() + 1
imprimer_taille_image = True
left_begin = 0
left_end = 85
right_begin = 95
right_end = 180
compteur_... | GuillaumeCariou/I3S_Tutorship_Internship | Python/Line_Following/Line/main_rgb.py | main_rgb.py | py | 3,992 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "serial.Serial",
"line_number... |
10660236943 | # coding=utf-8
import mysql.connector
from mysql.connector import Error
import requests
import json
import datetime
dias_semana = ['Domingo', 'Segunda-feira', 'Terça-feira', 'Quarta-feira', 'Quinta-feira', 'Sexta-feira', 'Sábado']
try:
# recupera dataset do chat
url_json = "http://raw.githubusercontent.com/ca... | camilabianchi/graces_desafio | 2_importacao_python_airflow/importa_chat.py | importa_chat.py | py | 2,617 | python | pt | code | 0 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "mysql.connector.connector.connect",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "mysql.conne... |
6864404682 | import math, random
import gym
import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
import torch.autograd as autograd
import torch.nn.functional as F
import matplotlib.pyplot as plt
USE_CUDA = torch.cuda.is_available()
Variable = lambda *args, **kwargs: autograd.Variable(*args, **kwargs).c... | saumyasinha/learning_better_policies_with_critical_states | Qlearning/dqn_for_CartPole.py | dqn_for_CartPole.py | py | 8,842 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torch.cuda.is_available",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "torch.autograd.Variable",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch... |
20405590464 | import matplotlib.pyplot as plt
from tespy.networks import Network
from tespy.connections import Connection
from tespy.components import (Source, Sink, Condenser, Pump)
# Create a TESPy network
nw = Network(fluids=['water', 'NH3'])
# Add components and connections to the network
source = Source('source')
sink = Sink(... | JubranKhattab/testing_tespy_projects | subsystems/ploting.py | ploting.py | py | 1,346 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "tespy.networks.Network",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "tespy.components.Source",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "tespy.components.Sink",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "t... |
10836961705 | import pandas as pd
from flask import Flask, jsonify, request,json
import pickle
model = pickle.load(open('model.pkl','rb'))
app = Flask(__name__)
@app.route('/', methods=['POST'])
def predict():
# get data
body_dict = json.loads(request.get_data().decode('utf-8'))
data = body_dict['0']
# predic... | liJiansheng/Catchup | LR Model API/app.py | app.py | py | 695 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pickle.load",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.json.loads",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.json",
"line_number"... |
18113301417 | import pygame
#зарускаем программу
pygame.init()
#add colors
black=( 0, 0, 0)
white=( 255, 255, 255)
green=( 0, 255, 0)
red=( 255, 0, 0)
size = [700,700]
screen=pygame.display.set_mode(size)
pygame.display.set_caption("Professor Craven's Cool Game")
done = True
clock=pygame.time.Clock()
screen.fill(white)... | AndreiTsukov/PythonFiles | Classwork/pygame/lesson1/snegovik.py | snegovik.py | py | 532 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pygame.init",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pygame.display... |
8446584828 |
import warnings
from cupy import testing
import cupyx.scipy.signal.windows as cu_windows
import pytest
from pytest import raises as assert_raises
try:
import scipy.signal.windows as cpu_windows # NOQA
import scipy.fft # NOQA
except ImportError:
pass
window_funcs = [
('boxcar', ()),
('triang... | cupy/cupy | tests/cupyx_tests/scipy_tests/signal_tests/test_windows.py | test_windows.py | py | 22,594 | python | en | code | 7,341 | github-code | 36 | [
{
"api_name": "cupy.testing.numpy_cupy_allclose",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "cupy.testing",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "cupy.testing.numpy_cupy_allclose",
"line_number": 52,
"usage_type": "call"
},
{
"ap... |
72425931625 | from selenium import webdriver
from selenium.webdriver.chrome.service import Service
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from bs4 import BeautifulSoup
import pandas as pd
from selenium.webdriver.common.by import By
import re
from webdr... | umairahmad89/h-m-scraper | scraper.py | scraper.py | py | 2,718 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 46,
"usage_type": "call"
},
{
"api... |
35056823314 | import pickle
import json
import yaml
import numpy as np
import torch
import torch.optim as optim
import time
from data_manager import DataManager
from model import BiLSTMCRF
from utils import f1_score, get_tags, format_result
from torch.utils.tensorboard import SummaryWriter
writer = SummaryWriter(log_dir='./tensorbo... | ravesky/medical_ner_pytorch | main.py | main.py | py | 10,508 | python | en | code | 44 | github-code | 36 | [
{
"api_name": "torch.utils.tensorboard.SummaryWriter",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "data_manager.DataManager",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "data_manager.DataManager",
"line_number": 32,
"usage_type": "call"
},
... |
33380799983 | import requests
from bs4 import BeautifulSoup
import time
import plotly
import numpy as np
import pandas as pd
import datetime as dt
import cufflinks as cf
import subprocess
import traceback
from sys import exit
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart
import base64
import pi... | rhart-rup/Playstation-Store-Price-Drop-Alert | main.py | main.py | py | 13,550 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "os.path.chdir",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.nan",
"line_number"... |
32844059000 | import xlrd
import product
def excel_reader(file_name):
# open excel sheet
loc = "C:/Users/andym/PycharmProjects/FacebookScraper/" + file_name
read_list = []
temp_list = []
wb = xlrd.open_workbook(loc)
sheet = wb.sheet_by_index(0)
sheet.cell_value(0, 0)
rows_total = sheet.nrows
c... | andymangibbs/CraigslistScraper | excelRead.py | excelRead.py | py | 1,154 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "xlrd.open_workbook",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "product.Product",
"line_number": 25,
"usage_type": "call"
}
] |
12243691897 | from django.test import TestCase, RequestFactory
from django.urls import reverse
from django.contrib.auth.models import User, Permission
from django.contrib import admin
from django_comment import models
from .test_app.models import TestModel
from django_comment.admin import CommentedItemAdmin, CommentedItemInline
... | genosltd/django-comment | tests/test_admin.py | test_admin.py | py | 4,334 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.test.TestCase",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "test_app.models.TestModel.objects.create",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "test_app.models.TestModel.objects",
"line_number": 16,
"usage_type": "attri... |
22543357667 | import jwt
import json
import logging
import time
from jwt import ExpiredSignatureError
logger = logging.getLogger("handler_logger")
logger.setLevel(logging.DEBUG)
def jwt_encode(obj):
try:
return jwt.encode(obj,
'#0wc-0-#@#14e8rbk#bke_9rg@nglfdc3&6z_r6nx!q6&3##l=',
... | gaurav3g/chat-sls-server | backend/utils/jwt_utils.py | jwt_utils.py | py | 842 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "jwt.encode",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "jwt.decode",
"line_... |
23129694122 | import speech_recognition as sr
from state import State
from ClientThread import*
import threading
class VoiceRecognizer:
State.event = 'create'
def __init__(self):
self.client = ClientThread()
self.r = sr.Recognizer()
self.speech = ''
self.recognitionResult = ''
se... | Moufdi96/Projet_IHM_Multimodal | speecheRecognizer.py | speecheRecognizer.py | py | 1,682 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "state.State.event",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "state.State",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "speech_recognition.Recognizer",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "speech... |
496475437 | from dagster_pandas import DataFrame
from google.cloud.bigquery.job import LoadJobConfig, QueryJobConfig
from google.cloud.bigquery.table import EncryptionConfiguration, TimePartitioning
from dagster import InputDefinition, List, Nothing, OutputDefinition, Path, check, solid
from .configs import (
define_bigquery... | helloworld/continuous-dagster | deploy/dagster_modules/libraries/dagster-gcp/dagster_gcp/bigquery/solids.py | solids.py | py | 5,243 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "google.cloud.bigquery.table.EncryptionConfiguration",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "google.cloud.bigquery.table.TimePartitioning",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "dagster.check.list_param",
"line_number": 40... |
37349168777 | from ase.units import Ha
import numpy as np
from my_gpaw.xc.fxc import KernelWave, XCFlags, FXCCache
from my_gpaw.xc.rpa import GCut
from my_gpaw.response.pair_functions import SingleQPWDescriptor
from my_gpaw.pw.descriptor import PWMapping
class G0W0Kernel:
def __init__(self, xc, context, **kwargs):
sel... | f-fathurrahman/ffr-learns-gpaw | my_gpaw/response/g0w0_kernels.py | g0w0_kernels.py | py | 2,219 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "my_gpaw.xc.fxc.XCFlags",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.eye",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.argmin",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.linalg.norm",
... |
21120272187 | import sys
import pickle
import torch as T
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
sys.path.append("../") # nopep8
from model.dialog_acts import Encoder
from DataLoader.bucket_and_batch import bucket_and_batch
import numpy as np
import string
import random
device = T.device('... | JRC1995/Chatbot | Classifier/train_and_test/train.py | train.py | py | 3,877 | python | en | code | 79 | github-code | 36 | [
{
"api_name": "sys.path.append",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.device",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
... |
31061296375 |
from ..utils import Object
class GetBackgroundUrl(Object):
"""
Constructs a persistent HTTP URL for a background
Attributes:
ID (:obj:`str`): ``GetBackgroundUrl``
Args:
name (:obj:`str`):
Background name
type (:class:`telegram.api.types.BackgroundType`):
... | iTeam-co/pytglib | pytglib/api/functions/get_background_url.py | get_background_url.py | py | 801 | python | en | code | 20 | github-code | 36 | [
{
"api_name": "utils.Object",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "utils.Object.read",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "utils.Object",
"line_number": 35,
"usage_type": "name"
}
] |
40961470159 | # coding: utf-8
import datetime
from simpleai.search import astar, SearchProblem
from simpleai.search.viewers import BaseViewer
class RobotProblem(SearchProblem):
def __init__(self, pallets_a_entregar):
'''
En el estado necesitamos llevar la posición de los pallets, la del
robot, si tenemo... | ucse-ia/ucse_ia | practicas/robot_pallets.py | robot_pallets.py | py | 5,721 | python | es | code | 5 | github-code | 36 | [
{
"api_name": "simpleai.search.SearchProblem",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "simpleai.search.viewers.BaseViewer",
"line_number": 151,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 152,
"usage_type": "call"
},
... |
36725320029 | # -*- coding: utf-8 -*-
from preprocess import Channel
from workflow.cf_workflow import run as user_cf
from workflow.if_workflow import run as user_if
from workflow.rsif_workflow import run as user_rsif
from workflow.lfm_workflow import run as lfm
from workflow.prank_workflow import run as prank
from flask import Flask... | ang0410/recommend | manage.py | manage.py | py | 4,408 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "preprocess.Channel",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "flask.abort",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "flask.request.args.get",
... |
11439201598 | from itertools import product
from typing import Union
Coor = Union[tuple[int, int, int], tuple[int, int, int, int]]
CubeMap = set[Coor]
def get_input() -> CubeMap:
with open('input.txt', 'r') as f:
return {(i, j, 0) for i, l in enumerate(f.readlines()) for j, ch in enumerate(l) if l and ch == '#'}
def n... | markopuzav/aoc-2020 | day17/solution.py | solution.py | py | 1,413 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "typing.Union",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "itertools.product",
"line_number": 14,
"usage_type": "call"
}
] |
15827248022 | from __future__ import unicode_literals
from __future__ import print_function
from __future__ import division
from __future__ import absolute_import
from future import standard_library
standard_library.install_aliases()
from builtins import *
import unittest
import importlib
import os
from emission.core.wrapper.trip_ol... | e-mission/e-mission-server | emission/individual_tests/TestNominatim.py | TestNominatim.py | py | 6,717 | python | en | code | 22 | github-code | 36 | [
{
"api_name": "future.standard_library.install_aliases",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "future.standard_library",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "os.environ.get",
"line_number": 18,
"usage_type": "call"
},
{
"api_... |
4619575632 | #!/usr/bin/env python
import django
from net_system.models import NetworkDevice, Credentials
from pprint import pprint
rtrs = {
"test-sw1": {
"port": "22",
"username": "admin1",
"eapi_port": "443",
"password": "99saturday",
"ip": "1.1.1.1",
"device_type": "arista_eos"
},
"test-sw2":... | jerry-bonner/pynet | class8/ex3.py | ex3.py | py | 1,335 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "net_system.models.NetworkDevice.objects.all",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "net_system.models.NetworkDevice.objects",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "net_system.models.NetworkDevice",
"line_number": 27,... |
34338165702 | # https://leetcode.com/problems/construct-binary-tree-from-preorder-and-inorder-traversal/
from typing import List
# Definition for a binary tree node.
class TreeNode:
def __init__(self, val=0, left=None, right=None):
self.val = val
self.left = left
self.right = right
class Solution:
... | 0x0400/LeetCode | p105.py | p105.py | py | 788 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "typing.List",
"line_number": 13,
"usage_type": "name"
}
] |
11526198960 | import asyncio
import json
import multiprocessing as mp
from importlib import import_module
from django import http
from django.conf import settings
from django.core.cache import caches
from django.core.handlers.asgi import ASGIRequest
from django.contrib import auth
from django.utils import timezone
from asgiref.syn... | cognitive-space/warpzone | worlds/websocket.py | websocket.py | py | 5,411 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "django.core.handlers.asgi.ASGIRequest",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "django.http.QueryDict",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "django.http",
"line_number": 35,
"usage_type": "name"
},
{
"api_name"... |
12785925952 | from py_reconhecimento import TReconhecimento
from py_cadastro import TCadastro
from py_principal import TPrincipal
from kivy.uix.screenmanager import ScreenManager
from kivy.app import App
from kivy import Config
from kivy.lang import Builder
Config.set('graphics', 'resizable', True)
Config.set('kivy', 'exit_on_escap... | eticialima/recognitionfacial | project/py_main.py | py_main.py | py | 1,088 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "kivy.Config.set",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "kivy.Config",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "kivy.Config.set",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "kivy.Config",
"line_num... |
21107255277 | import sqlite3
#Her oprettes en forbindelse til databasefilen
#Hvis filen ikke findes, vil sqlite oprette en ny tom database.
con = sqlite3.connect('start.db')
print('Database åbnet')
try:
con.execute("""CREATE TABLE personer (
id INTEGER PRIMARY KEY AUTOINCREMENT,
navn STRING,
alder INTEGER)""")
... | jonascj/learn-programming-with-python | ch-database/src/database_start.py | database_start.py | py | 1,314 | python | da | code | 2 | github-code | 36 | [
{
"api_name": "sqlite3.connect",
"line_number": 5,
"usage_type": "call"
}
] |
29212263006 | import numpy as np
import pandas as pd
import datetime, time
# 处理输入时间戳，当前汽车驶入时间戳转化为sumo中以秒为单位
def time_processing(timeStamp):
timeArray = time.localtime(timeStamp)
# 时间时区设置转换
base_time = datetime.datetime(timeArray[0], timeArray[1], timeArray[2], 0, 0, 0)
# 获取当日日期定位到00:00:00
base_time = time.mktim... | Rossions/TCSC | DataProcessing/chengdu/processing_abandon.py | processing_abandon.py | py | 2,020 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "time.localtime",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "time.mktime",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"li... |
8413029677 | import sqlite3
connection = sqlite3.connect('data.db')
cursor = connection.cursor()
create_table = "CREATE TABLE IF NOT EXISTS hotels (hotel_id text PRIMARY KEY, name text, stars real, price real, city text)"
cursor.execute(create_table)
connection.commit()
connection.close() | mariorodeghiero/flask-python-rest-api-course | create_db.py | create_db.py | py | 279 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sqlite3.connect",
"line_number": 3,
"usage_type": "call"
}
] |
73037104745 | import collections.abc
import copy
import typing
import enpheeph.injections.plugins.indexing.abc.indexingpluginabc
import enpheeph.utils.constants
import enpheeph.utils.dataclasses
import enpheeph.utils.enums
import enpheeph.utils.typings
class IndexingPlugin(
enpheeph.injections.plugins.indexing.abc.indexingplu... | Alexei95/enpheeph | src/enpheeph/injections/plugins/indexing/indexingplugin.py | indexingplugin.py | py | 9,122 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "enpheeph.injections.plugins.indexing.abc.indexingpluginabc.injections",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "enpheeph.injections.plugins.indexing.abc.indexingpluginabc",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.Opti... |
15715933133 | import json
import os
import sys
from tempfile import NamedTemporaryFile
DEPRECATED_KEYS = [
'site_yaml_path',
'inventory_config',
'variable_manager_config',
'passwords',
'modules',
'private_key_file']
LIST_TYPES = ['skip-tags', 'tags']
DIRECT_PARAMS = ['start_at_task', 'scp_extra_args', 'sftp... | christaotaoz/shkd-work | work/doc/srv6+5G/ansible8.82/cloudify_ansible_sdk/__init__.py | __init__.py | py | 3,848 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.stdout",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "json.dumps",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "os.environ.copy",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_num... |
74791240424 | import math
import json
import random
import argparse
def genRandomFeatures(n):
features = []
for i in range(0, n):
lat = (random.random() - 0.5) * 360.0
lng = (random.random() - 0.5) * 180.0
geom = { 'type': 'Point', 'coordinates': [lat, lng] }
props = { 'class': 1 if random.random() > 0.5 else 0 ... | decision-labs/mapnik | benchmark/utils/random_points.py | random_points.py | py | 1,569 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "random.random",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "random.random",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "random.random",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "random.random",
"line_nu... |
24417230499 | from os.path import exists
from pyimpspec.data.data_set import (
DataSet,
dataframe_to_data_sets,
)
from typing import List
def parse_spreadsheet(path: str, **kwargs) -> List[DataSet]:
"""
Parse a spreadsheet (.xlsx or .ods) containing one or more impedance spectra.
Parameters
----------
... | vyrjana/pyimpspec | src/pyimpspec/data/formats/spreadsheet.py | spreadsheet.py | py | 1,039 | python | en | code | 12 | github-code | 36 | [
{
"api_name": "os.path.exists",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "pyimpspec.data.data_set.DataSet",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "pandas.Dat... |
40618220774 | from django.conf.urls import url
from . import views
urlpatterns=[
url(r'^register/',views.mapiview.as_view()),
url(r'^editview/',views.mapiview1.as_view()),
url(r'^update/',views.mapiview2.as_view()),
url(r'^vcus/',views.vcustomer),
url(r'^registercus/',views.post),
url(r'^viewtr/(?P<idd>\w+)',... | jannamariyam/GOLD_APP | SPRINT 4/web/goldinapp/customer/urls.py | urls.py | py | 366 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.conf.urls.url",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.co... |
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