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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
35691108201 | import os
import sys
import hashlib
from datetime import datetime
from collections import namedtuple
import pandas as pd
Row = namedtuple('Row', 'path filename date_created date_modified byte_size hash')
def get_directory_info(starting_directory=None, hash_flag=False):
results = []
if not starting_directory:... | danshorstein/isaca_presentation_2018 | services/__init__.py | __init__.py | py | 1,495 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "collections.namedtuple",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.walk",
"lin... |
23416718898 | """
LOL - a bit underwhelming in the case of CLI output.
"""
from pathlib import Path
from superhelp import gen_utils
def display(formatted_help: str, file_path: Path):
if file_path:
raw_file_name = gen_utils.clean_path_name(file_path)
file_name = f'{raw_file_name}.md'
else:
file_name ... | grantps/superhelp | superhelp/displayers/md_displayer.py | md_displayer.py | py | 641 | python | en | code | 28 | github-code | 97 | [
{
"api_name": "pathlib.Path",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "superhelp.gen_utils.clean_path_name",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "superhelp.gen_utils",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "s... |
7104238793 | # -*- coding: utf-8 -*-
# @Time : 8/17/22 6:00 PM
# @FileName: Bot.py
# @Software: PyCharm
# @Github ：sudoskys
import os
import shutil
import time
import joblib
from Runner.DataParse import biliParse
from Runner.EventLib import Tool
from Runner.Network.Uploader import Upload
class CallingCounter(object):
d... | sudoskys/Tool-Asoul-Music | Runner/Bot.py | Bot.py | py | 5,173 | python | en | code | 43 | github-code | 97 | [
{
"api_name": "time.strftime",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "time.localtime",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "joblib.load",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "joblib.dump",
"line_numb... |
26333749564 | import os
from mock import patch
import pytest
from opentrons.system import camera
@pytest.fixture
def mock_take_picture():
with patch(
"robot_server.service.legacy.routers." "camera.camera.take_picture",
spec=camera.take_picture,
) as m:
yield m
def test_camera_exception(mock_take_p... | Opentrons/opentrons | robot-server/tests/service/legacy/routers/test_camera.py | test_camera.py | py | 1,235 | python | en | code | 363 | github-code | 97 | [
{
"api_name": "mock.patch",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "opentrons.system.camera.take_picture",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "opentrons.system.camera",
"line_number": 11,
"usage_type": "name"
},
{
"api_n... |
28933648010 | import json
import os
from HealthcheckHTTP import HealthcheckHTTP
from HealthcheckPort import HealthcheckPort
from HealthcheckPing import HealthcheckPing
class Levande:
def __init__(self):
configFilePath = os.getenv("LEVANDE_CONFIG_FILE", 'config/levande.json')
configFile = open(configFilePath)
... | patrickvogel/levande | src/python/Levande.py | Levande.py | py | 1,223 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.getenv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "HealthcheckHTTP.HealthcheckHTTP",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "HealthcheckPort.He... |
6706221011 | from django import template
register = template.Library()
@register.assignment_tag(takes_context=True)
def get_pretestupload(context, pretest):
for pretestupload in pretest.pretestupload_set.all():
if context['request'].user == pretestupload.student.user:
return pretestupload
return None | mijara/adn3 | students/templatetags/pretest.py | pretest.py | py | 319 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.template.Library",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 3,
"usage_type": "name"
}
] |
14597992450 | import random
from functools import cmp_to_key
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import scipy.cluster.hierarchy as hie
import settings as st
def calculateSimilarity(a, b):
ref = -1
for i in range(0, st.AP_COUNT):
if a[i] != 1 and b[i] != 1:
ref = i
... | Simon-CN/EZIndoorLocPy | locselect.py | locselect.py | py | 2,721 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "settings.AP_COUNT",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "settings.AP_COUNT",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "scipy.cluster.hierarchy.distance.pdist",
"line_number": 36,
"usage_type": "call"
},
{
... |
37214640888 | import json
class Redirection:
url = None
method = None
query_params = None
body_params = None
header_params = None
def __init__(self,
url: str,
method: str,
query_params: dict=None,
body_params: dict=None,
h... | meyt/payit | payit/redirection.py | redirection.py | py | 773 | python | en | code | 14 | github-code | 97 | [
{
"api_name": "json.dumps",
"line_number": 30,
"usage_type": "call"
}
] |
20897313316 | from django.test import Client, TestCase
from django.urls import reverse
from posts.models import Follow, Group, Post, User
GROUP_SLUG = 'test_group'
AUTHOR_USERNAME = 'test_user'
FOLLOW_URL = reverse('follow_index')
class PostPagesTests(TestCase):
@classmethod
def setUpClass(cls):
super().setUpCla... | RomanK74/hw05_final | posts/tests/test_follow.py | test_follow.py | py | 2,631 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.urls.reverse",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.test.TestCase",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "posts.models.User.objects.create_user",
"line_number": 16,
"usage_type": "call"
},
{
"api... |
7017674630 | import logging
import boto3
import json
# Constants
DEBUG = False
MAX_KEYS = 1024 # Should be a power of two since it may get divided by two a couple of times.
MAX_DATA_SIZE = 32000 # Max. result size: https://docs.aws.amazon.com/step-functions/latest/dg/service-limits.html
SAFETY_MARGIN = 10.0 # Percent
MAX_RESU... | aws-samples/sync-buckets-state-machine | lambda_functions/list_bucket.py | list_bucket.py | py | 2,611 | python | en | code | 112 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "logging.INFO",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "boto3.client",... |
34555487118 | import os
import dj_database_url
from .base import *
DEBUG = os.getenv('DEBUG')
DATABASES = {
'default': dj_database_url.config(
engine='django.contrib.gis.db.backends.postgis',
default=os.environ['DATABASE_URL']
)
}
CELERY_BROKER_URL = os.environ['REDIS_URL'],
CELERY_RESULT_BACKEND = os.envi... | Livingstone99/proppexx-backend | propexx/settings/production.py | production.py | py | 511 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.getenv",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "dj_database_url.config",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line... |
11113379818 | import os
import keyboard
import pyautogui
import webbrowser
from listen import Listen
from speak import speak
from time import sleep
import datetime
def Open(q):
application_mapping = {
"vscode": "Visual Studio Code",
"chrome": "Google Chrome",
"cmd": "Command Prompt",
... | Vigneshpalan/Jarvis-voice-Assistant | open.py | open.py | py | 1,409 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "webbrowser.open",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "speak.sp... |
20110275811 | import sys
from datetime import date
from typing import (
List,
Optional,
)
from pydantic import (
AnyUrl,
BaseModel,
Field,
)
from selenium.webdriver.remote.webelement import WebElement
from cr_kyoushi.simulation.util import now
from ..core.config import ProbabilisticStateConfig
from ..core.sel... | ait-aecid/kyoushi-statemachines | src/cr_kyoushi/statemachines/web_browser/config.py | config.py | py | 5,770 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "sys.version_info",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "pydantic.BaseModel",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 45,
"usage_type": "name"
},
{
"api_name": "pydantic.AnyUrl"... |
24885854331 | from .common import PostProcessor
import os
class ComparePP(PostProcessor):
def __init__(self, job, options):
PostProcessor.__init__(self, job)
if options.get("shallow"):
self._compare = self._compare_size
job.register_hooks({"file": (
self.enumerate
i... | prodbydaniel245/gallery-dl | gallery_dl/postprocessor/compare.py | compare.py | py | 1,559 | python | en | code | 3 | github-code | 97 | [
{
"api_name": "common.PostProcessor",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "common.PostProcessor.__init__",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "common.PostProcessor",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "... |
33888041627 |
import gym, os
import Env as envr
from Env import Env
import CS
import setting as st
import matplotlib.pyplot as plt
from Graph import Graph_34
import datetime
import random
import itertools
import numpy as np
import gym
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
fro... | walkingholic/EV_ppo | main_ppo_ppangyo.py | main_ppo_ppangyo.py | py | 10,538 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "setting.N_REQ",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "torch.devi... |
27828440028 | from django.shortcuts import render
from .models import Data
from django.views.generic import CreateView
from .forms import ContactForm
class ContactCreate(CreateView):
# Модель куда выполняется сохранение
model = Data
# Класс на основе которого будет валидация полей
form_class = ContactForm
# Выве... | zaryava/contact_v.4 | webcontact/contact/views.py | views.py | py | 1,018 | python | ru | code | 0 | github-code | 97 | [
{
"api_name": "django.views.generic.CreateView",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "models.Data",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "forms.ContactForm",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "models.Da... |
27923466892 | from django.http import HttpResponseRedirect
from django.urls import reverse
from django.contrib import messages
from django.utils.translation import ugettext_lazy as _
from annoying.decorators import render_to
from blockexplorer.decorators import assert_valid_coin_symbol
from blockexplorer.settings import BLOCKCYPHE... | blockcypher/explorer | blocks/views.py | views.py | py | 5,478 | python | en | code | 962 | github-code | 97 | [
{
"api_name": "blockcypher.utils.is_valid_hash",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "django.utils.translation.ugettext_lazy",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "django.contrib.messages.warning",
"line_number": 39,
"usage_type":... |
26167849232 | from numpy import *
import matplotlib
matplotlib.use("TkAgg")
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
from matplotlib.figure import Figure
from tkinter import *
import reg_trees
def re_draw(tol_s, tol_n):
re_draw.f.clf()
re_draw.a = re_draw.f.add_subplot(111)
if chk_btn_var.get():... | raesnow/ML_Learn | 09-tree_regression/tree_explore.py | tree_explore.py | py | 2,328 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "matplotlib.use",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "reg_trees.create_tree",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "reg_trees.model_leaf",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "reg_tre... |
22684794105 | import os
import glob
from datetime import datetime
from flask import request, render_template, redirect, url_for
from werkzeug.utils import secure_filename
from snap_shopusingai.project import app
from snap_shopusingai.project.com.controller.LoginController import adminLoginSession, adminLogoutSession
from snap_shop... | veer-cyber/Research-methodology | snap_shopusingai/project/com/controller/MainController.py | MainController.py | py | 5,399 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "snap_shopusingai.project.app.config",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "snap_shopusingai.project.app",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "snap_shopusingai.project.com.controller.LoginController.adminLoginSession",... |
39997472706 | import numpy as np
import gudhi
from scipy.sparse import csr_matrix
from gtda.time_series import SingleTakensEmbedding
from gtda.graphs import GraphGeodesicDistance
from gtda.homology import FlagserPersistence
def persistence(time_series, emdim, tilay, homdim = [0]):
'''
Berechnung des Persistenz Diagrams ein... | paulgerhard4/persistent-dynamics | persistent dynamics/change_point_det/functions.py | functions.py | py | 2,508 | python | de | code | 0 | github-code | 97 | [
{
"api_name": "gtda.time_series.SingleTakensEmbedding",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.argsort",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "sci... |
75103189118 | #!/usr/bin/python
"""corgi is a simple utility for quick capture to an org-mode file (or any
text file really), and sync between an org file and mobile devices.
Command line options:
- taskpapersync
All tasks scheduled for today or tomorrow get written to `today.taskpaper` and
`tomorrow.taskpaper` respectively, and al... | el-ethan/corgi | corgi.py | corgi.py | py | 5,741 | python | en | code | 3 | github-code | 97 | [
{
"api_name": "kivy.uix.behaviors.EmacsBehavior",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "kivy.uix.behaviors.CodeNavigationBehavior",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "psutil.Process",
"line_number": 51,
"usage_type": "call"
},
... |
29341944279 | import simplemma
import pymorphy3
import re
from functools import lru_cache
import unicodedata
PYMORPHY_SUPPORT = []
morph = {}
try:
import pymorphy3_dicts_ru
morph['ru'] = pymorphy3.MorphAnalyzer(path=pymorphy3_dicts_ru.get_path(), lang="ru")
PYMORPHY_SUPPORT.append("ru")
print("pymorphy3 is available... | FreeLanguageTools/vocabsieve | vocabsieve/lemmatizer.py | lemmatizer.py | py | 3,052 | python | en | code | 216 | github-code | 97 | [
{
"api_name": "pymorphy3.MorphAnalyzer",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pymorphy3_dicts_ru.get_path",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pymorphy3.MorphAnalyzer",
"line_number": 19,
"usage_type": "call"
},
{
"api_n... |
2843811456 | #!/usr/bin/env python
# coding=utf-8
"""
随机生成各种颜色的小方块
"""
import numpy
import matplotlib.pyplot
N = 512
NSQUARES = 85
#初始化
img = numpy.zeros((N, N), numpy.uint8)
centers = numpy.random.random_integers(0, N, size=(NSQUARES, 2))
radii = numpy.random.randint(0, N/9, size=NSQUARES)
colors = numpy.random.randint(100, 255... | qiwsir/ApproachPython | mergeimages/load_image_memory.py | load_image_memory.py | py | 1,038 | python | en | code | 63 | github-code | 97 | [
{
"api_name": "numpy.zeros",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.random_integers",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.rando... |
29963694701 | from django.shortcuts import render,redirect,get_object_or_404
from django.views.generic import ListView,View
# https://docs.djangoproject.com/en/3.1/ref/class-based-views/generic-editing/
from django.views.generic.edit import CreateView,DeleteView,UpdateView
from django.contrib.auth.mixins import LoginRequiredMixin
fr... | manoj-mv/django-dj4e | autos_dj4e/views.py | views.py | py | 4,512 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.contrib.auth.mixins.LoginRequiredMixin",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "django.views.generic.ListView",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "models.Auto",
"line_number": 13,
"usage_type": "name"
},
... |
37512141401 | from captcha import get_Code
import requests
from lxml import etree
import re,os,sys
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
sys.path.append(BASE_DIR)
from conf import settings
import movie_list
def captcha_way():
session = parse_captcha()
movie_list.movice_lists(session)
def pa... | foremostxiao/Reptile_training | captcha/test.py | test.py | py | 2,378 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "os.path.dirname",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line... |
70205875520 | import cv2
import os
import numpy as np
import tkinter.filedialog
from tkinter import *
import shutil
import corner_dets_methods
import datetime
import tkinter as tk
from time import sleep
from math import trunc
from tkinter import ttk
good_total = 0
class AutoApp:
def __init__(self, master):
self.master ... | ttruty/mmse_pentagon_project | automated_pentagons.py | automated_pentagons.py | py | 3,575 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "tkinter.filedialog.filedialog.askopenfilename",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "tkinter.filedialog.filedialog",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "tkinter.filedialog",
"line_number": 35,
"usage_type": "n... |
38342062928 | import pytest
from pcapi.core.bookings.exceptions import CannotDeleteVenueWithBookingsException
import pcapi.core.bookings.factories as bookings_factories
from pcapi.core.bookings.models import Booking
import pcapi.core.criteria.factories as criteria_factories
import pcapi.core.criteria.models as criteria_models
from ... | bruno-ebstein-pass-culture/pass-culture-main | api/tests/scripts/offerer/delete_cascade_venue_by_id_test.py | delete_cascade_venue_by_id_test.py | py | 9,393 | python | en | code | null | github-code | 97 | [
{
"api_name": "pcapi.core.bookings.factories.BookingFactory",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "pcapi.core.bookings.factories",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "pytest.raises",
"line_number": 38,
"usage_type": "call"
},
... |
15456578581 | from bs4 import BeautifulSoup
from icrawler.builtin import BingImageCrawler
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.firefox.firefox_binary import FirefoxBinary
from selenium.webdriver.firefox.firefox_profile import FirefoxProfile
from selenium.webdriver.support... | YA-androidapp/Selenium-Talent | main.py | main.py | py | 18,701 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.path.dirname",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.chdir",
"line_num... |
6618642721 | from collections import deque
n = int(input())
num = list(map(int, input().split()))
dp = [1 for i in range(n)]
arr = [[x] for x in num]
for i in range(n):
for j in range(i):
if num[i] > num[j] and dp[j] + 1 > dp[i]:
dp[i] = dp[j] + 1
idx=dp.index(max(dp))
now=dp[idx]
queue=deque()
queue.appen... | AMYMEME/algorithm-study | common/2021.05.04/leesoeun98_baekjoon14002.py | leesoeun98_baekjoon14002.py | py | 463 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "collections.deque",
"line_number": 14,
"usage_type": "call"
}
] |
19656763328 | # 15.1. 15.2.
import matplotlib.pyplot as plt
x_values = list(range(1, 5001))
y_values = [x**3 for x in x_values]
plt.scatter(x_values, y_values, c=y_values, cmap='Greens', edgecolor='none', s=30)
# Zdefiniowanie tytulu wykresu i etykiet osi.
plt.title("Szesciany liczb", fontsize=24)
plt.xlabel("Wartosc"... | wojcikkuba/python_datafun | mpl_cubes.py | mpl_cubes.py | py | 478 | python | pl | code | 0 | github-code | 97 | [
{
"api_name": "matplotlib.pyplot.scatter",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.title",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "mat... |
2862130304 | import sys
import csv
import math
from argparse import ArgumentParser
from statsmodels.stats.power import FTestPower
arguments = ArgumentParser()
arguments.add_argument('--fstat', type=float,
help='F-statistic (F0) reported')
arguments.add_argument('--m', type=int,
help='... | jerome-white/sakai-book | chapters/07/2waynorep.py | 2waynorep.py | py | 1,237 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "statsmodels.stats.power.FTestPower",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "m... |
16891166341 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('stories', '0004_auto_20141129_1325'),
]
operations = [
migrations.CreateModel(
name='NounCount',
fie... | mattwaite/CanvasStoryArchive | stories/migrations/0005_auto_20141129_1632.py | 0005_auto_20141129_1632.py | py | 1,148 | python | en | code | 6 | github-code | 97 | [
{
"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"
},
... |
70790698880 | #사이킷런 데이터셋 이용 / LSTM 으로 모델링 / Dense와 성능 비교 / 회귀모델
import numpy as np
from sklearn.datasets import load_diabetes #당뇨병 수준
#데이터 불러오고 , 이건 사이킷런의 데이터 불러오는 방법
dataset = load_diabetes()
x = dataset.data
y = dataset.target
print(x.shape, y.shape) #(442, 10) (442,)
#트레인 테스트 분리
from sklearn.model_selection import train_test_... | bughunt88/AI_Study | keras/keras33_LSTM2_diabetes.py | keras33_LSTM2_diabetes.py | py | 2,669 | python | en | code | 4 | github-code | 97 | [
{
"api_name": "sklearn.datasets.load_diabetes",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 17,
"usa... |
26896134446 | from django.shortcuts import render, redirect
from django.contrib import messages
from course.brain.stage_two import *
from django.contrib.auth.decorators import login_required
from course.brain.main import all_tables
@login_required
def index(request):
return render(request, 'index.html')
def login(request):
... | VladYura/Course-site | course/views.py | views.py | py | 2,209 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.shortcuts.render",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.decorators.login_required",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.shortcuts.render",
"line_number": 14,
"usage_type": "call"
... |
10724352062 | import requests
# API endpoint
API_ENDPOINT = "http://127.0.0.1:5000/"
# image path
IMAGE_PATH = "test/tas.jpg"
resp = requests.post(url = API_ENDPOINT, files={'file': open(IMAGE_PATH, 'rb')})
print(resp.json())
# import base64
# with open('test/lamp.JPG', "rb") as image_file:
# ... | IndoVision-Team/deploy-model | test/test.py | test.py | py | 763 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "requests.post",
"line_number": 8,
"usage_type": "call"
}
] |
31679570378 | import pandas as pd
import numpy as np
import tensorflow as tf
import matplotlib.pyplot as plt
from sklearn.ensemble import RandomForestClassifier
from sklearn.neighbors import KNeighborsClassifier
from sklearn import preprocessing
from sklearn.model_selection import cross_val_score
import keras
from keras.models imp... | tms1337/tensorflow-tutorial | noise-removal.py | noise-removal.py | py | 4,193 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "config.config.config",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "config.config.config",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "pandas.read_csv",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "pandas.read... |
9996911459 | from django.shortcuts import render , HttpResponse
import pandas as pd
import requests
from import_export.admin import ImportExportModelAdmin
import openpyxl
from geopy.geocoders import Nominatim
import googlemaps
def home(request):
if request.method == "POST":
file = request.FILES["myFile"]
wb = ... | ankita1304/project_googlemap | location/location/views.py | views.py | py | 1,470 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "openpyxl.load_workbook",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "googlemaps.Client",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pandas.read_excel",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "django.sho... |
33321729297 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from bs4 import BeautifulSoup;
from pathlib import Path;
from pprint import pprint;
from buildstep import *;
from pathsresolver import *;
def importFilter(tag):
if tag.name in ['html', 'body', 'head', 'title']:
return False;
if tag.name == 'link':
if 'import' in t... | truefusion/PolymerBundler | welder.py | welder.py | py | 2,839 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pathlib.Path",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_... |
4902699747 | import numpy as np
import torch
class OUNoise:
def __init__(self, mu, sigma=0.4, theta=.6, dt=0.05, x0=None, noise_decay=0.0):
self.theta = theta
self.mu = mu
self.sigma = sigma
self.dt = dt
self.x0 = x0
self.noise_decay = noise_decay*sigma
self.reset()
... | chdiazguerra/autonomous-driving-RL | reinforcement/utils.py | utils.py | py | 1,401 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "numpy.sqrt",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.random.normal",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros_like",
... |
18543918445 | from flask import Flask,render_template,request
app = Flask(__name__,'/static')
@app.route('/index')
@app.route("/")
def index_view():
return render_template('index.html')#接收一个模板页来响应浏览器
#路由函数默认只接收get请求 methods=['get','post']表示当前视图函数可以接收get和post请求
@app.route('/user/login',methods=['get','post'])
def login_view()... | SpringSnowB/All-file | m3/d12/run.py | run.py | py | 2,217 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "flask.Flask",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask.request.form",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "flask.request... |
36730322489 | from django.shortcuts import render
from django.http import JsonResponse
from .models import DatosFormularioRechazoMpInMe
from django.http import HttpResponseRedirect
from django.urls import reverse
# Create your views here.
def rechazo_mp_in_me(request):
return render(request, 'rechazo_mp_in_me/r_informe_rechazo... | diegosaldiasq/SCG_Quinta | Back-end/SCG_Quinta/rechazo_mp_in_me/views.py | views.py | py | 2,157 | python | es | code | 0 | github-code | 97 | [
{
"api_name": "django.shortcuts.render",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "models.DatosFormularioRechazoMpInMe",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "django.http.JsonResponse",
"line_number": 46,
"usage_type": "call"
},
{
... |
74206943358 | #!/usr/bin/python
#This script is being run on a Ubuntu virtual Machine
###Path for telegram api_id and api_hash, the file must be .py
import sys
sys.path.insert(2, "/path/to/file/containing/your_api_id_and_api_hash")
##mysql
import mysql.connector
#registration is the name of the database and user of the MySQL serv... | joaopedrolourencoaffonso/python_smallstep | 1-version/registration.py | registration.py | py | 3,072 | python | en | code | 4 | github-code | 97 | [
{
"api_name": "sys.path.insert",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "mysql.connector.connector.connect",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "mysql.c... |
1784529755 | from docarray import DocumentArray
from jina import Flow
from executor import OCRMyPDF
# print-to-pdf of https://courses.cs.vt.edu/csonline/AI/Lessons/VisualProcessing/OCRscans_files/bowers.jpg
docs = DocumentArray.from_files("./data/bowers*.pdf")
flow = (
Flow()
.add(uses=OCRMyPDF, name="ocrpdf")
.add(us... | alexcg1/executor-ocrmypdf | test.py | test.py | py | 564 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "docarray.DocumentArray.from_files",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "docarray.DocumentArray",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "jina.Flow",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "execu... |
72799878078 | from models import Restaurant, db
# from forms import RestaurantForm
from sqlalchemy.exc import SQLAlchemyError
from flask import abort, jsonify
from forms import RestaurantForm, EditRestaurantForm
from wtforms.validators import ValidationError
def get_restaurants():
restaurants = Restaurant.query.all()
return... | blwishom/lunchclubapp | FlaskApp/services/restaurant_services.py | restaurant_services.py | py | 1,728 | python | en | code | 3 | github-code | 97 | [
{
"api_name": "models.Restaurant.query.all",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "models.Restaurant.query",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "models.Restaurant",
"line_number": 9,
"usage_type": "name"
},
{
"api_name"... |
27093784804 | import logging
import sys
import torch
from x_temporal.utils.dist_helper import is_master_proc
logs = set()
def init_log(name, level=logging.INFO):
if (name, level) in logs:
return
logs.add((name, level))
logger = logging.getLogger(name)
logger.setLevel(level)
ch = logging.StreamHandle... | Sense-X/X-Temporal | x_temporal/utils/log_helper.py | log_helper.py | py | 1,402 | python | en | code | 466 | github-code | 97 | [
{
"api_name": "logging.INFO",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "logging.StreamHandler",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sys.stdout"... |
3778279744 | import dill
from typing import List
import os
from fastapi import FastAPI, Query
import pickle
import sys
sys.path.append("..")
sys.setrecursionlimit(10000)
from typing import Any
from src.models.candidate_generation.generate_candidates_pipeline import candidate_generation_component
from src.models.diversifaction.diver... | a-s-gorski/conseillify-research | serving/api.py | api.py | py | 5,624 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sys.path.append",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "sys.setrecursionlimit",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"l... |
5666934213 | from django.db import models
class employees(models.Model):
name = models.CharField(max_length=100)
email = models.EmailField(max_length=100)
address = models.TextField()
phone = models.IntegerField()
class Meta:
db_table = "employe"
| Vishnu2020MCA/crudappi | crview/models.py | models.py | py | 274 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.db.models.Model",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "... |
14438943513 | import webapp2
import spcoc
import os
import jinja2
import check
from google.appengine.api import mail
JINJA_ENVIRONMENT = jinja2.Environment(
loader=jinja2.FileSystemLoader(os.path.dirname(__file__)),
extensions=['jinja2.ext.autoescape'],
autoescape=True)
class MainPage(webapp2.RequestHandler):
... | pbourachot/spcoc | src/spcocMain.py | spcocMain.py | py | 5,266 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "jinja2.Environment",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "jinja2.FileSystemLoader",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
30846130414 | import tkinter
from tkinter.messagebox import showinfo as alert
from tkinter.messagebox import askyesno as question
from tkinter.simpledialog import askstring as prompt
import customtkinter
'''
Enunciado:
2. El departamento de Construcción Rural requiere una herramienta que facilite el calculo de materiales necesario... | albana-meloni/Curso_de_ingreso_PYTHON | ejercicios/07_tps/03_ferretes_construccion/app.py | app.py | py | 3,607 | python | es | code | null | github-code | 97 | [
{
"api_name": "customtkinter.CTk",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "customtkinter.CTkLabel",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "customtkinter.CTkEntry",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "... |
70771787199 | import hashlib
import json
from typing import List
from zipfile import ZipFile
import yaml
from django.contrib import admin
from django.core.files.base import ContentFile
from django.db import models, transaction
from django.db.models import QuerySet
from django.forms import ModelForm, FileField, CharField
from django... | hexfaker/image-eval | image_eval/models/questions.py | questions.py | py | 7,850 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "django.db.models.Model",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 23,
"usage_type": "call"
},
{
"api_name"... |
2936960727 | from telethon import TelegramClient, events, Button
import requests
#from headers import headers
#import urls
import os
import requests
import cryptg
import asyncio
import shutil
import subprocess
from mega import Mega
mega = Mega()
m = mega.login()
#from flask import request
client = TelegramClient('anfghohn',1416135... | b0tTest/Stream-PD | bot.py | bot.py | py | 5,185 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "mega.Mega",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "mega.login",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "telethon.TelegramClient",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "shutil.disk_usage",
... |
9358553022 | import requests
import secrets
import json
def find_id(firstname, lastname, affil):
url = f'http://api.elsevier.com/content/search/author?query=AUTHFIRST({firstname})+AND+AUTHLASTNAME({lastname})+AND+AFFIL({affil})&apiKey={secrets.key}'
response = requests.get(url, headers={'Accept': 'application/json'})
d... | sray0309/SI-507-final-project | scopus.py | scopus.py | py | 1,235 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "secrets.key",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "secrets.key",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line... |
25169261965 | """Metrics controller."""
import logging
from datetime import date
from datetime import timedelta as td
from functools import wraps
from sqlalchemy import func
from booking_microservice.constants import BlockChainStatus, BookingStatus
from booking_microservice.models import Booking
logger = logging.getLogger(__name_... | 7552-2020C2-grupo5/bookings-microservice | booking_microservice/controllers/metrics.py | metrics.py | py | 1,912 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "datetime.date.fromisoformat",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "datet... |
19814171453 | # -*- coding: utf-8 -*-
"""
Created on Sun Mar 20 22:02:54 2022
@author: Karel
"""
import matplotlib.pyplot as plt
import cv2
import os
import kornia as K
import kornia.feature as KF
import numpy as np
import torch
import pydegensac
from kornia_moons.feature import *
import glob
import pandas as pd
... | jan2nov/FDMinM | Python/HardNet/test_kornia_comparison.py | test_kornia_comparison.py | py | 6,583 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "numpy.array",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "torch.no_grad",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "kornia.color.rgb_to_grayscale",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "kornia.color"... |
14591184022 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Apr 4 21:42:57 2020
@author: kurmich
"""
from boxcell import *
from atom import AtomicForces
epsilon = 0.000001
idsort = lambda af: af.id
def get_interactions(filename, t_start, t_end, types, interacting = False, sortkey = idsort):
assert t_star... | Kurmich/contactmd | src/dumpparser.py | dumpparser.py | py | 9,981 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "atom.AtomicForces",
"line_number": 79,
"usage_type": "call"
}
] |
39392241615 | #Discord bot to kick members without roles + kick specified member
#v2.0(20th Jan 2022)------------------------------------------------------------------------------------
#Bot logic: 0. Runs loop iterating over servers (list)
# 1. Runs loop iterating over server(guild) members, checks each for roles an... | jhongidyon/Discord-Bots | KickBot/main.py | main.py | py | 4,831 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "json.load",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "discord.Intents.default",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "discord.Intents",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.co... |
8938014480 | import os
import re
from pprint import pprint
import requests
from bs4 import BeautifulSoup
# Regex
num_pattern = re.compile(r"#(?P<num>\d{3})")
rel_url_pattern = re.compile(r"^/pokedex/\w+")
class PokemonInfo:
def __init__(self, img_url, number, name, type_list, full_url):
self.img_url = img_url
... | greener2/pokedex-scraper | scraper.py | scraper.py | py | 1,874 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "re.compile",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_numbe... |
27884795495 | import sqlite3
import contextlib
import datetime
class OperationalException(Exception): pass
class ShoppingListDB():
def __init__(self, sqlite_dbfile):
self._db = sqlite3.connect(sqlite_dbfile)
self._cursor = self._db.cursor()
with contextlib.suppress(sqlite3.OperationalError):
self._cursor.execute("""
... | johndoe31415/pyslist | ShoppingListDB.py | ShoppingListDB.py | py | 6,390 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sqlite3.connect",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "contextlib.suppress",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sqlite3.OperationalError",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "cont... |
10039206409 | from __future__ import division
import random
from copy import deepcopy
import matplotlib.pyplot as plt; plt.rcdefaults()
import numpy as np
import matplotlib.pyplot as plt
import time
numElements = 1000
numMin = -1000
numMax = 1000
arrElements = []
times = []
def ordenamientoPorInsercion(unaLista):
moves = 0
... | castledan1/master-python-exercises | Algoritmos/practica2/Algoritmos2.py | Algoritmos2.py | py | 7,630 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "matplotlib.pyplot.rcdefaults",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "random.randint",
"line_number": 222,
"usage_type": "call"
},
{
"api_name": "time.tim... |
32912687940 | from keras.applications.vgg16 import (
VGG16, preprocess_input, decode_predictions)
from keras.preprocessing import image
from tensorflow.python.framework import ops
import keras.backend as K
import tensorflow as tf
import numpy as np
import keras
import cv2
import os
def normalize(x):
# utility function to n... | wawaku/grad-cam-keras | grad-cam.py | grad-cam.py | py | 5,537 | python | en | code | 19 | github-code | 97 | [
{
"api_name": "keras.backend.sqrt",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "keras.backend",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "keras.backend.mean",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "keras.backend.squ... |
40328506798 | # implementation adapted from:
# https://github.com/yabufarha/ms-tcn/blob/master/model.py
import torch
import torch.nn as nn
import torch.nn.functional as F
import copy
class MultiStageModel(nn.Module):
def __init__(self, hparams):
self.num_stages = hparams.mstcn_stages # 4 #2
self.num_layers = h... | tobiascz/TeCNO | models/mstcn.py | mstcn.py | py | 7,154 | python | en | code | 42 | github-code | 97 | [
{
"api_name": "torch.nn.Module",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "torch.nn.ModuleList",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_... |
71722643520 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
#%load_ext google.colab.data_table
import random
from datetime import datetime, timedelta
first_names = [
"Maria Carmen",
"Maria",
"Carmen",
"Josefa",
"Isabel",
"Ana Maria",
"Maria Dolores",
"Maria Pilar",
"Mar... | EricLeeuwenburgh/WINC---Data-Analytics-with-Python | Exercises/Module5/5_column_operations/main.py | main.py | py | 5,001 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "datetime.datetime.now",
"line_number": 153,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 153,
"usage_type": "name"
},
{
"api_name": "datetime.datetime",
"line_number": 155,
"usage_type": "call"
},
{
"api_name": "datetime... |
14062639409 | import os, sys, json, time, base64
from flask import Flask, jsonify, request
import requests
import utils, load_balance, global_vars
import logging
import redis
import cfg_tasks
from utils import send_file_to_jobe
#======================================================
# Flask app initializtion
#=====================... | perryOnCrack/Reverse-Proxy-for-Jobe | reverse_proxy.py | reverse_proxy.py | py | 9,675 | python | en | code | 3 | github-code | 97 | [
{
"api_name": "flask.Flask",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "cfg_tasks.get_data.delay",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "cfg_tasks.get_... |
22967015460 | from django.db import models
from django.core.validators import RegexValidator
from django.contrib.auth.models import AbstractBaseUser, BaseUserManager
# Create your models here.
class MasterKelas(models.Model):
id_kelas = models.IntegerField(primary_key=True)
category_kelas = (
... | rizkyarmanto/absenvttv5 | absenvttv3-main/master/models.py | models.py | py | 2,371 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.db.models.Model",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.db.models.IntegerField",
"line_number": 9,
"usage_type": "call"
},
{
"api_name"... |
24963762151 | from datetime import date
import sys
import math
from database import session
from attendnum import attendnum
from sqlalchemy import func
args = sys.argv
input1 = int(args[1])
input2 = int(args[2])
input3 = int(args[3])
Y = input1 % 10000
M = Y % 100
dt = date(math.floor(input1 / 10000), math.floor((input1 % 10000... | HirotakaMoriwaki/Python_C | Kawamura/aquaattend.py | aquaattend.py | py | 589 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sys.argv",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "datetime.date",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "math.floor",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "database.session.query",
"l... |
3532612854 | from django.shortcuts import render
from django.http import HttpResponse, HttpResponseBadRequest, HttpResponseNotFound
from django.core.exceptions import ObjectDoesNotExist
import os
import json
from .models import Course
from django.db.models import Q
# Create your views here.
TRUE_SET = {"true", "yes", "y", "t", "1"... | venkatesh-sivaraman/fireroad-server | catalog/views.py | views.py | py | 7,487 | python | en | code | 13 | github-code | 97 | [
{
"api_name": "django.http.HttpResponseBadRequest",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "models.Course.public_courses",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "models.Course",
"line_number": 20,
"usage_type": "name"
},
{
"api... |
19224047319 | import torch
import torch.nn as nn
import torch.nn.functional as F
class Head(nn.Module):
'''
Author: Sungjun Han
Description: FFN layers for encoder or decoder
input_size : int
output_size : int
activation : str
dropout : float < 1
'''
def __init__(self,
input_size,
output_size,
activa... | hansungj/NLPLab | nli/models/StaticEmb.py | StaticEmb.py | py | 8,015 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "torch.nn.Module",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_... |
27967467259 | import os
import numpy as np
import matplotlib.pyplot as plt
from scipy import io
from ukf_functions import *
from panorama import *
from transforms3d import taitbryan
def main():
''' modify this part accordingly '''
# flags
UKF = True # use UKF or just gyro data for estimate
Panorama = True # generate... | MaxLing/ukf_orientation_estimation | state_estimation.py | state_estimation.py | py | 5,583 | python | en | code | 6 | github-code | 97 | [
{
"api_name": "numpy.array",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.identity",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.identity",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.identity",
"line_... |
32513820158 | from typing import Any
from ..._group import project_add_group
from ....task.task import Task
from ....task.decorator import python_task
from ....task.cmd_task import CmdTask
from ....task.resource_maker import ResourceMaker
from ....runner import runner
from ....helper import util
from ....helper.codemod.add_import_mo... | tamaya-id/zrb | src/zrb/builtin/generator/fastapp_crud/add.py | add.py | py | 8,341 | python | en | code | null | github-code | 97 | [
{
"api_name": "os.path.dirname",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number"... |
1351595863 | #!/usr/bin/env/python
import cv2
import numpy as np
import sys
import random
##################################################################
def add_chromatic_aberration(img):
shift_x=random.randint(1,3)
shift_y=random.randint(1,3)
height, width, _ = img.shape
r_channel = np.roll(img[:, :, 2], shift... | mtricolici/ai-study-2023 | samples-ImageProcessing/without-ml/vhs-noise/main.py | main.py | py | 7,735 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "random.randint",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.roll",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.roll",
"line_number... |
73150242238 | from selenium import webdriver
import time
from telegram.ext import Updater, CommandHandler
import logging
logging.basicConfig(level=logging.DEBUG,
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
def start(update, context):
"""Send a message when the command /start is i... | bugpoop/tatketcapbot | main.py | main.py | py | 2,867 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "logging.basicConfig",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "selenium.webdriver.Firefox",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "selen... |
2164204510 | from random import randrange
import pygame
from settings import *
lost = 0
won = 0
class Cell:
mine = False
clicked = False
marked = False
flagged = False
neighbor_mines = 0
class Minesweeper:
width = 10
height = 10
mineCount = 10
flagCount = 10
uncovere... | hitrustt/minesweeper-pygame | main.py | main.py | py | 15,227 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "random.randrange",
"line_number": 133,
"usage_type": "call"
},
{
"api_name": "random.randrange",
"line_number": 134,
"usage_type": "call"
},
{
"api_name": "pygame.time.get_ticks",
"line_number": 211,
"usage_type": "call"
},
{
"api_name": "pygame.tim... |
70836630080 | import pygame
import powerup
class Misille(pygame.sprite.Sprite):
def __init__(self,x,y):
super().__init__()
self.image = pygame.image.load("resources/missile.png")
self.rect = self.image.get_rect()
self.rect.x = x
self.rect.y = y - self.rect.height
self.strenght =... | Javierppt/arkanoid | misil.py | misil.py | py | 373 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pygame.sprite",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "pygame.image.load",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_number": 8,
"usage_type": "attribute"
}
] |
3693827278 | # -*- coding: utf-8 -*-
"""
时间: 2019/12/5 16:22
作者: nola2
更改记录:
重要说明: 摄像头捕获的视频，沿垂直方向旋转每一帧并保存
"""
import cv2
cap = cv2.VideoCapture(0)
fourcc = cv2.VideoWriter_fourcc(*'XVID') # FOURCC一个4字节码，确认视频编码格式
out = cv2.VideoWriter('output.avi', fourcc, 20.0, (640, 480))
while cap.isOpened():
ret, frame = cap.read()
... | nola222/opencv_tutorial | opencv_video/save_video.py | save_video.py | py | 709 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cv2.VideoWriter_fourcc",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cv2.VideoWriter",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "cv2.flip",
... |
43141711571 | import pickle
import gym
import numpy as np
import glfw
import time
with open('bestAction.pkl', 'rb') as bestActionPkl:
bestAction = pickle.load(bestActionPkl)
print(bestAction)
env = gym.make('Humanoid-v2')
moves_taken = 0
cand_done = False
total_reward = 0
env.render()
time.sleep(5)
env.seed(1)
env.reset()
... | ndriker/mudocoProject | results/bestAction.py | bestAction.py | py | 762 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pickle.load",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "gym.make",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number": 26,... |
6154765625 | import numpy as np
import cv2
import os
import shutil
from PIL import Image
from .superpixel_augmentation import superpixel_aug
from tqdm import tqdm
def selectimagefromdir(dir_name = 'bear', select_number = 10):
image_dir = '/Users/chenxi/Desktop/Ali_projects/DATA/DAVIS/DAVIS480P/JPEGImages/480p/' + dir_name + '... | alibaba/ClickSEG | scripts/DAVIS585_datatset/generate_init_masks_480p.py | generate_init_masks_480p.py | py | 3,956 | python | en | code | 32 | github-code | 97 | [
{
"api_name": "os.path.exists",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "shutil.rmtree",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.mkdir",
"line_number... |
43814647315 | import copy
import code
import os
import tkinter as tk
import tkinter.filedialog
import itertools
from typing import List, Dict, Tuple
import time
import csv
from dataclasses import dataclass
from pywikibot import (
Site,
ItemPage,
Claim,
WbTime,
WbQuantity,
)
from pywikibot.site import DataSite
fr... | jd3main/wikidata-tw-politicians-bot | tw_politicians_bot/__init__.py | __init__.py | py | 20,517 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "pywikibot.WbTime.fromTimestr",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "pywikibot.WbTime",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "wb_time_utils.WbTimePrecision.DAY",
"line_number": 43,
"usage_type": "attribute"
},
{
... |
71131314560 | from os import environ
from selenium import webdriver
HOST_HUB = environ.get('HOST_HUB', '127.0.0.1')
PORT_HUB = environ.get('PORT_HUB', 4444)
class WebDriverRemote(webdriver.Remote):
def __init__(self):
selenium_grid_url = f"{HOST_HUB}:{PORT_HUB}/wd/hub"
capabilities = webdriver.DesiredCapabili... | jcdb/selenium_wrapper | component/webdriver/remote.py | remote.py | py | 518 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.environ.get",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "os.environ.get",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number":... |
73801619838 | """Records video and still images."""
import datetime
import logging
import os
import sys
import time
import picamera
def record_video_and_stills(seconds_per_video, seconds_between_stills):
"""Records video in chunks and still images until space runs out or another
error occurs.
Warning: the seconds cal... | bskari/eclipse-2017-hab | pi/record_video_and_stills.py | record_video_and_stills.py | py | 3,920 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "os.mkdir",
"line_num... |
5303305310 | # -*- coding: utf-8 -*-
"""
Created on Wed Mar 17 14:28:57 2021
@author: tmali
"""
import numpy as np
import matplotlib.pyplot as plt
#This function exactly solves given a function, grid spacing and min error required
def solve(rho,error,hx,hy=-1):
if hy==-1:
hy=hx
solution=np.zeros_like(r... | 3okhir/Tokhir_Malikov_4150 | Exercise 5.21.py | Exercise 5.21.py | py | 2,049 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "numpy.zeros_like",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.zeros_like",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.abs",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.amax",
"line_nu... |
31843566310 | import sys
import json
from pubcontrol import Item
from gripcontrol import GripPubControl, WebSocketEvent, \
WebSocketMessageFormat, decode_websocket_events, encode_websocket_events
pub = GripPubControl({'control_uri': 'http://localhost:5561'})
opening = False
out_headers = []
out = []
for e in decode_websocket_e... | fanout/serverless-websocket | handler-microcule.py | handler-microcule.py | py | 1,277 | python | en | code | 30 | github-code | 97 | [
{
"api_name": "gripcontrol.GripPubControl",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "gripcontrol.decode_websocket_events",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sys.stdin.read",
"line_number": 12,
"usage_type": "call"
},
{
"api_... |
26365012744 | import re
import shutil
import os
import shlex
import subprocess
import sys
debug = False
default_encoding = sys.getdefaultencoding()
def check_param(obj, obj_type):
"""Assert obj as type obj_type."""
try:
obj_type(obj)
except Exception:
raise AssertionError(
"error: paramete... | openturns/openturns | python/src/coupling_tools.py | coupling_tools.py | py | 23,665 | python | en | code | 198 | github-code | 97 | [
{
"api_name": "sys.getdefaultencoding",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 97,
"usage_type": "call"
},
{
"api_name": "os.remove",
"line_number": 121,
"usage_type": "call"
},
{
"api_name": "shutil.move",
"line_n... |
74948721599 | import sys
import time
import mdi
try:
import numpy
use_numpy = True
except ImportError:
use_numpy = False
try:
from mpi4py import MPI
use_mpi4py = True
except ImportError:
use_mpi4py = False
niterations = 10000
natoms = 10
get_coords = False
# initialize MPI
if use_mpi4py:
mpi_world = MPI... | taylor-a-barnes/socket_timings | socket_timings/driver.py | driver.py | py | 2,175 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "mpi4py.MPI.COMM_WORLD",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "mpi4py.MPI",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "mdi.MDI_Conversion_Factor",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "mdi.M... |
1351388728 | import os
import disnake
from disnake.ext import tasks, commands
from disnake import ApplicationCommandInteraction
from helpers import checks
from helpers.save import get_save
import googleapiclient.discovery
import json
import datetime
if not os.path.isfile("config.json"):
sys.exit("'config.json' not found! Ple... | Trexounay/YoutubeAlert | cogs/task/youtube.py | youtube.py | py | 7,925 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.path.isfile",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "disnake.ext.commands.Cog",
... |
6356687786 | # Code written to reproduce and repurpose what I already found online at:
# https://stackoverflow.com/questions/42329766/python-nlp-british-english-vs-american-english
# https://gist.github.com/rcortini/0d05417339bc74300ce3a971442a4d3c
# https://github.com/hyperreality/American-British-English-Translator/bl... | nishalsach/python_hacks | uk_to_us_spellings_code.py | uk_to_us_spellings_code.py | py | 1,639 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "requests.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 24,
"usage_type": "call"
}
] |
10636071602 | # -*- coding: utf-8 -*-
# +
import requests
import feast
import pandas as pd
from feast import Entity, Feature, FeatureView, FileSource, ValueType
import torch
import pymysql
from datetime import date
from sqlalchemy import create_engine
import numpy as np
pymysql.install_as_MySQLdb()
import MySQLdb
import math
import... | juniroc/ML_ops | feast_nni_bentoml_db/inference_/online_inf.py | online_inf.py | py | 3,758 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "pymysql.install_as_MySQLdb",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "warnings.filterwarnings",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pandas.read_parquet",
"line_number": 23,
"usage_type": "call"
},
{
"api_name":... |
73471254719 | import cv2
import numpy as np
image_obj = cv2.imread(r"C:\Users\User\Desktop\Feature Maps\ALLSTIMULI\ALLSTIMULI\i1252592787.jpeg")
gray = cv2.cvtColor(image_obj, cv2.COLOR_BGR2GRAY)
kernel = np.ones((4, 4), np.uint8)
dilation = cv2.dilate(gray, kernel, iterations=1)
blur = cv2.GaussianBlur(dilation, (5, 5... | ilanazane/Brain-Inspired-Computing | Project/old files/triangle.py | triangle.py | py | 909 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "cv2.imread",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "numpy.ones",
"line_n... |
31013190176 | import numpy as np
import pandas as pd
import os
import math
import matplotlib.pyplot as plt
import csv
import functions
# Eastern / Central [0]
# Tap Mun [1]
# Tsuen Wan [2]
# Tung Chung [3]
# Yuen Long [4]
# Kwai Chung [5]
######################
# Kwun Tong [6]
# Macau [7]
# Sha Tin [8]
# Sham Shui... | phitecus/kzfilter | wind_direction.py | wind_direction.py | py | 9,533 | python | en | code | 5 | github-code | 97 | [
{
"api_name": "pandas.read_csv",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "numpy.delete",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.scatter",
... |
7992092198 | import random
import numpy as np
import torch
from torch import Tensor
import torch.nn as nn
from torch.nn import Parameter
import torch.nn.functional as F
from tqdm import tqdm
class Node2Vec:
def __init__(self, G, dim=128):
self.G = G
self.dim = dim
self.device = torch.device("cuda:0" if ... | lym01803/EE359_LinkPrediction | src/encoder.py | encoder.py | py | 3,883 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "torch.device",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "torch.zeros",
... |
22956069895 | from os import name
import sys
import xml.etree.ElementTree as ET
from xml.dom import minidom
import warnings
warnings.filterwarnings("ignore", category=DeprecationWarning)
class DFA:
Q = [[0, "q0"], [1, "q1"], [2, "q2"], [3, "q3"], [4, "q4"]] ## list of states as I... | BostonZero/beingastudent | Spring 2021/comp theory/hw2/dfaxml.py | dfaxml.py | py | 2,521 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree.Element",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree",
"line_number": 31,
"usage_type": "name"
},
{
"api_na... |
40848233669 | import pandas as pd
from bokeh.models import BasicTicker, ColorBar, LinearColorMapper
from bokeh.palettes import Blues
from bokeh.plotting import figure
from bokeh.transform import transform
from sklearn import datasets
from sklearn.metrics import confusion_matrix
from dara.core import DataVariable, DerivedVariable, V... | causalens/dara_app_gallery | dara_interactivity/dara_interactivity/pages/expensive_calculations.py | expensive_calculations.py | py | 9,301 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "pandas.DataFrame",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.confusion_matrix",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "bokeh.models.LinearColorMapper",
"line_number": 35,
"usage_type": "call"
},
{
"... |
11351832223 | from collections import namedtuple
import numpy as np
import math
Move = namedtuple("Move", ["dest"])
Wait = namedtuple("Wait", [])
STATE_GOING_UP = "up"
STATE_GOING_DOWN = "down"
STATE_EMPTY = "both"
ControllerStatus = namedtuple("ControllerStatus",
["wait_up", "wait_down",
... | VoyagerYoshida/DQNmeetsElevator | lifcon.py | lifcon.py | py | 2,520 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "collections.namedtuple",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "co... |
5030509764 | import tensorflow as tf
import keras
def create_model(input_globalvars,input_cpf,input_npf,input_sv,nlabels):
cpf = input_cpf
for nfilters in [32,32,8]:
cpf = keras.layers.Conv1D(nfilters,1,padding='same',activation='selu')(cpf)
cpf = keras.layers.Dropout(0.1)(cpf)
cpf = keras.layers.F... | matt-komm/pyhep20_tfpipeline | realistic_model.py | realistic_model.py | py | 1,342 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "keras.layers.Conv1D",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "keras.layers",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "keras.layers.Dropout",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "keras.layers"... |
26335549174 | import json
import os
from typing import Dict, Any, Union, Optional
from typing_extensions import Literal
from functools import lru_cache
from .. import load_shared_data, get_shared_data_root
from .pipette_definition import (
PipetteConfigurations,
PipetteLiquidPropertiesDefinition,
)
from .model_constants i... | Opentrons/opentrons | shared-data/python/opentrons_shared_data/pipette/load_data.py | load_data.py | py | 9,179 | python | en | code | 363 | github-code | 97 | [
{
"api_name": "typing.Dict",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "typing_extensions.Literal",
"... |
12117586458 | import os
import traceback
import copy
import time
import sys
import subprocess
from logging import handlers
from multiprocessing import Pool, Process, Manager
import shutil
import logging
import datetime
root_path = os.path.dirname(os.path.abspath(__name__))
LOG_DIR = os.path.join(root_path, 'log')
log_name = 'unpac... | Mr-liu-yang/daily_tools | Unpack/batch.py | batch.py | py | 12,795 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "os.path.dirname",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line... |
37077692990 | import requests
from fastapi import APIRouter
news = APIRouter()
import requests
import os
from bson import json_util
from datetime import datetime
api_key = os.environ.get("API_key")
import uuid
from pydantic import BaseModel, Field
from pymongo import MongoClient
CONNECTION_STRING = 'mongodb://localhost:27017'
clien... | shabanzadeh/restfulAPI_readiSchool | backend/routes/news.py | news.py | py | 2,195 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pymongo.MongoClient",
... |
42641382252 | #DANILO COURA MOREIRA
import time as time
import numpy as np
import matplotlib.pyplot as plt
def normal_equation(points):
points_x_with_1 = np.append(np.ones((len(points),1)),points[:,0:1],axis=1)
#w = (H'H)-1 H'y
return np.dot(np.dot(np.linalg.inv(np.dot(np.transpose(points_x_with_1),points_x_with_1)),np.transpo... | danilocoura/Aprendizagem-de-Maquina | Tarefa1/DANILO_COURA_regressao_linear_eq_normal.py | DANILO_COURA_regressao_linear_eq_normal.py | py | 949 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "numpy.append",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.dot",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.linalg.inv",
"line_number":... |
10671948124 | import sys, os, datetime
import numpy as np
import torch
from torch.utils.tensorboard import SummaryWriter
# add the path to the files from this project
sys.path.append(os.path.dirname(__file__))
import world
import utils
import losses
import mesh_utils
from utils import *
import data_utils
import train_utils
from p... | nmwsharp/learned-triangulation | src/main_train_model.py | main_train_model.py | py | 6,935 | python | en | code | 100 | github-code | 97 | [
{
"api_name": "sys.path.append",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
28920442758 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense,Dropout,BatchNormalization
from keras.callbacks import EarlyStopping,ModelCheckpoint
import keras
import pickle
import numpy as np
import tensorflow as tf
import glob
from tensorflo... | rgilconde/DS_Resources | src/anomaly_detection/Autoencoder_anomaly_detection.py | Autoencoder_anomaly_detection.py | py | 3,838 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sklearn.preprocessing.StandardScaler",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "pickle.dump",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.models.Sequential",
"line_number": 44,
"usage_type": "call"
},
{
... |
4640798708 | #!/usr/bin/env python
# coding: utf-8
# # Creación de Dataset de Municipios de Colombia
# #### Tarea #1: Obtener la información para un municipio
# In[1]:
# Importar librerías principales
import requests
from bs4 import BeautifulSoup as bs
import pandas as pd
import numpy as np
import pickle
# In[3]:
# Cargar... | roslch/municipios-colombia-project | municipios_colombia.py | municipios_colombia.py | py | 23,431 | python | es | code | 0 | github-code | 97 | [
{
"api_name": "requests.get",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 101,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
... |
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