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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
24605926525 | from Message import Message
from flask import request, abort
from linebot import (
LineBotApi, WebhookHandler
)
from linebot.exceptions import (
InvalidSignatureError
)
from linebot.models import (
MessageEvent, TextMessage, TextSendMessage
)
from re import match as re_match
class LINE(object):
@staticmethod
def... | hans00/MessageBot | Core/LINE.py | LINE.py | py | 3,189 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "linebot.LineBotApi",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "linebot.WebhookHandler",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "linebot.models.MessageEvent",
"line_number": 32,
"usage_type": "argument"
},
{
"api_nam... |
4753839454 | from util import *
from datetime import datetime
class Agent:
def __init__(self, index=0):
self.index = index
def getAction(self, state):
raiseNotDefined()
# Напрямики для пересування гравця та ворогів
class Directions:
NORTH = 'North'
SOUTH = 'South'
EAST = 'East'
WEST = 'We... | VW-Passat/Lab03 | game.py | game.py | py | 10,994 | python | uk | code | 0 | github-code | 6 | [
{
"api_name": "io.StringIO",
"line_number": 288,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 292,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 292,
"usage_type": "name"
}
] |
8408005394 | #!/usr/bin/env python3
import os
import sys
import re
import argparse
import json
import signal
import logging
import requests
from multi_accounts_handler import MultiAccountsHandler
BANNER = '''
_____ __ __ ______ _ _
|_ _| /\ | \/ | ____(_) | |
| | ... | prisma-cloud/IAMFinder | iamfinder.py | iamfinder.py | py | 10,096 | python | en | code | 102 | github-code | 6 | [
{
"api_name": "sys.exit",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "logging.error",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number":... |
41974618883 | from django import forms
from polls.models import Question
def get_choices():
# choiceList = [
# (1, 'aaa'),
# (2, 'bbb'),
# (3, 'CCC'),
# ]
object = Question.objects.first()
choiceList = [(i.pk, i.choice_text) for i in object.choice_set.all()]
return choiceList
'''
cla... | pybest/Book1-vote-CBV | pollsCBV/polls_new/forms.py | forms.py | py | 1,478 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "polls.models.Question.objects.first",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "polls.models.Question.objects",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "polls.models.Question",
"line_number": 13,
"usage_type": "name"
... |
25352444520 | # coding: utf-8
__author__ = "humkyung <humkyung.atools.co.kr>"
import vtk
from .SceneObject import SceneObject
class Cylinder(SceneObject):
"""A template for drawing a cylinder."""
def __init__(self, renderer, pt1=(0, 0, 0), pt2=(0, 0, 10), radius: float = 0.5):
"""Initialize the cylinder."""
... | humkyung/AViewer | Primitives/Cylinder.py | Cylinder.py | py | 1,898 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "SceneObject.SceneObject",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "vtk.vtkLineSource",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "vtk.vtkTubeFilter",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "vtk.vtkPol... |
70714257467 | from smol_evm.opcodes import assemble, PUSH, RETURN, MLOAD, MSTORE, MSTORE8, MSIZE
from smol_evm.memory import Memory, InvalidMemoryAccess, InvalidMemoryValue
from smol_evm.runner import run
import pytest
@pytest.fixture
def memory() -> Memory:
return Memory()
def store0(memory, offset):
memory.store(offset,... | karmacoma-eth/smol-evm | tests/test_memory.py | test_memory.py | py | 3,828 | python | en | code | 165 | github-code | 6 | [
{
"api_name": "smol_evm.memory.Memory",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "smol_evm.memory.Memory",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "pytest... |
19289265217 | from asgiref.sync import async_to_sync
from channels.layers import get_channel_layer
from turbo import get_broadcast_channel
class BroadcastableMixin(object):
def get_streams(self):
"""
Allow subscribing to streams for objects by their primary key (single updates),
or any ForeignKey pre... | davish/hotwire-django-demo-chat | turbo/mixins.py | mixins.py | py | 1,360 | python | en | code | 10 | github-code | 6 | [
{
"api_name": "channels.layers.get_channel_layer",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "turbo.get_broadcast_channel",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "asgiref.sync.async_to_sync",
"line_number": 29,
"usage_type": "call"
}
] |
11471722 | import logging
import logging.config
import traceback
import os
class LogHelper():
LOGGING = {
'version': 1,
'disable_existing_loggers': True,
'formatters': {
'verbose': {
'format': '%(levelname)s %(asctime)s %(module)s %(process)d %(thread)d %(message)s'
... | vinhtk/vsum | log_helper.py | log_helper.py | py | 1,803 | python | pt | code | 0 | github-code | 6 | [
{
"api_name": "os.makedirs",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "logging.config.dictConfig",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "logging.config",
"line_number": 47,
"usage_type": "attribute"
},
{
"api_name": "logging.get... |
29209748500 | import os
import ast
import random
import string
import subprocess
from _ast import Call, ImportFrom
from pathlib import Path
from typing import List, Optional, Tuple, Any, Callable
from tests4py.grammars.fuzzer import Grammar
from tests4py.grammars.fuzzer import is_valid_grammar
from tests4py.constants import PYTHON... | smythi93/Tests4Py | src/tests4py/projects/expression.py | expression.py | py | 9,449 | python | en | code | 8 | github-code | 6 | [
{
"api_name": "tests4py.projects.Project",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "typing.List",
... |
72581105467 | import subprocess
import numpy as np
import datetime
now = datetime.datetime.now()
def extract_contributions():
# Looks at the GWM out file and extracts well names and contributions
# Assumes only one instance of "OPTIMAL RATES FOR EACH FLOW VARIABLE"
start_string0 = "Groundwater Management Solution"
... | Fleford/EO_Aberdeen | EOWPP_Aberdeen/GWM_Manipulator_abr.py | GWM_Manipulator_abr.py | py | 17,991 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime.now",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.append",... |
16377133086 | import shapely.geometry as geometry
from shapely.geometry import Polygon
from itertools import zip_longest
import numpy as np
import random
from scipy.spatial import ConvexHull
from ligo.skymap.io import fits
from ligo.skymap.postprocess import find_greedy_credible_levels
import healpy as hp
from spherical_geometry.pol... | nihargupte-ph/GW-Localization-Tiling | misc_functions.py | misc_functions.py | py | 19,875 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "itertools.zip_longest",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "shapely.geometry.mapping",
"line_number": 86,
"usage_type": "call"
},
{
"api_name": "shapely.geometry",
"line_number": 86,
"usage_type": "name"
},
{
"api_name": "shape... |
40411387361 | #!/usr/bin/env python3
our_version = 108
script_name = "rib_summary"
"""
Name: rib_summary.py
Description: NXAPI: display ipv4/ipv6 RIB summary
Example output:
% ./rib_summary.py --vault hashicorp --devices cvd_leaf_1 --ipv4
TOTALS 172.22.150.102 cvd-1311-leaf
vrf ver routes paths
defaul... | allenrobel/nxapi-netbox | scripts/rib_summary.py | rib_summary.py | py | 7,840 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "nxapi_netbox.args.args_cookie.ArgsCookie",
"line_number": 70,
"usage_type": "name"
},
{
"api_name": "nxapi_netbox.args.args_nxapi_tools.ArgsNxapiTools",
"line_number": 70,
"... |
7610509170 | from ctypes.wintypes import SIZE
from dice import *
from random import randint
import matplotlib.pyplot as plt
import numpy as np
from mpi4py import MPI
from math import sqrt
def simulation(f_events, f_sides, f_n_dice):
f_X = dice(sides, n_dice).myDice() #Nested dictionary composed of dices (last dict stores the s... | davidmcarreira/parallel-computing | Ex4/ex1.py | ex1.py | py | 5,064 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "random.randint",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "mpi4py.MPI.COMM_WORLD",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "mpi4py.MPI",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "mpi4py.MPI.Wtime... |
73549681468 | __doc__ = """
Preprocessing of image training dataset and images for prediction.
Ver 1.0 -- preprocessing.py
Aslak Einbu Februar 2020.
"""
import cv2
import config
def preprocess(image):
"""
Preprocessing of images applied in training and predictions.
"""
image = cv2.cvtColor(image, cv2.COLOR_BGR2GRA... | aslake/family_deep_learning | preprocessing.py | preprocessing.py | py | 462 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "cv2.cvtColor",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "cv2.resize",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "config.model_img_dims... |
27010089698 | import numpy as np
from sklearn.preprocessing import OrdinalEncoder
def run(array, label_index, categories, dtype):
x = np.array(array)
if dtype == 'float':
dtype = np.float
elif dtype == 'int':
dtype = np.int
elif dtype == 'object':
dtype = np.object
elif dtype == 'bool':
... | lisunshine1234/mlp-algorithm-python | pretreatment/standardization/OrdinalEncoder/run.py | run.py | py | 1,135 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.array",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.float",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "numpy.int",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "numpy.object",
"line_nu... |
1900491900 | from django.urls import path
from django.conf.urls.static import static
from . import views
from django.conf import settings
urlpatterns = [
path('', views.index, name='index'),
path('dashboard/', views.dashboard, name='dashboard'),
path('order-summary/', views.OrderSummaryView.as_view(), name='order-summa... | wittymindstech/npk-shipping-web | NPK/orders/urls.py | urls.py | py | 761 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
31928041852 | # -*- Coding: utf-8 -*-
import chunk
from sre_parse import FLAGS
from tkinter import ttk
import math
from tkinter import ttk
import numpy as np
#-------------------------------------------------------------------------------------------
import matplotlib
import matplotlib.pyplot as plt
from matplotlib.pylab import m... | DarBEJ2903/Python-digital-speech-processing | PRY_FINAL/clase_starend_work.py | clase_starend_work.py | py | 5,033 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pyaudio.PyAudio",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "pyaudio.paInt16",
"line_number": 44,
"usage_type": "attribute"
},
{
"api_name": "scipy.io.wavfile.read",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "scipy.io.w... |
86569808344 | import argparse
import ctypes
import logging
import re
from datetime import datetime
from mako.template import Template
from pycparser import parse_file, c_ast
logger = logging.getLogger('hwdb')
template = """/*
* Copyright © 2024 Igalia S.L.
* SPDX-License-Identifier: MIT
*/
#pragma once
#include <stdint.h>
ty... | sailfishos-mirror/mesa | src/etnaviv/hwdb/hwdb.h.py | hwdb.h.py | py | 11,242 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pycparser.c_ast.NodeVisitor",
"line_number": 83,
"usage_type": "attribute"
},
{
"api_name": "pycparser.c_ast",
"line_number": 83,
"usage_type": "name"
},
{
"api_name": "re.... |
10230305545 | import json
# %%
filepath = "/evals/registry/data/theory_of_mind/tomi/train.txt"
lines, datapoints = [], []
with open(filepath, "r") as f:
for line in f:
line_index = line.split(" ")[0]
if int(line_index) == 1:
if len(lines) == 0:
lines.append(line)
else:
... | openai/evals | evals/elsuite/theory_of_mind/scripts/data_generation.py | data_generation.py | py | 3,048 | python | en | code | 12,495 | github-code | 6 | [
{
"api_name": "json.dumps",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 80,
... |
28237512561 | # coding: utf-8
rub = io.read("rubrene.cif")
get_ipython().magic(u'cd rubrene/')
rub = io.read("rubrene.cif")
view(rub)
frag1 = io.read("dimers/dimer_4_0_d-7.19A.xyz")
frag1.edit
frag1.edit()
frag1
from scipy.spatial import ConvexHull
hull = ConvexHull(frag1.get_positions())
hull.vertices
hull.neighbors
hull.vertices
p... | schober-ch/fodft_tools | rubrene/convex_hull.py | convex_hull.py | py | 1,316 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "scipy.spatial.ConvexHull",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "scipy.spatial.ConvexHull",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "scipy.spatial.spatial.convex_hull_plot_2d",
"line_number": 30,
"usage_type": "call"
}... |
12458879132 | from collections import namedtuple
Person = namedtuple("Person", "name age job_title is_vegetarian")
person_1 = Person("Zsolt", 31, "instructor", False)
person_2 = Person("Eugene", 28, "instructor", False)
print(person_1.name)
print(person_2.age) | stephenh369/python_course | day_1/namedtuples.py | namedtuples.py | py | 250 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.namedtuple",
"line_number": 3,
"usage_type": "call"
}
] |
26775656201 | # -*- coding:utf-8 -*-
from inspector import getargspec
from functools import wraps
def check_user(f):
an, av, kw, d = getargspec()
@wraps(f)
def _(*a, **kw):
_a = dict(zip(an, a))
user_id = _a.pop('user_id', None)
if not user_id:
raise Exception('function must contains ... | tonicbupt/antonidas | utils/__init__.py | __init__.py | py | 371 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "inspector.getargspec",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "functools.wraps",
"line_number": 7,
"usage_type": "call"
}
] |
41855231369 | # -*- coding: utf-8 -*-
import sys, signal
from json import loads
from colorama import Fore, init
from db.books import BooksDB
from translation.bootstrap import Treino
from extractors.noticias import Source
with open("config.json") as f:
configs = loads(f.read())
b = BooksDB(configs["db_uri"])
debug =... | viniciussilvaramos/pyrobotteacher | app.py | app.py | py | 1,219 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.loads",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "db.books.BooksDB",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "extractors.noticias.Source",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "translation.bo... |
32653142106 | import psutil as ps
import re
import os
import netifaces as net #used for gathering network information
# mimic the whole psutil module
class networkData():
# list of interface identifiers
def allNICs(self):
return os.listdir('/sys/class/net/')
# get address of a particular interface
def addressForInterface(s... | trishu99/Platypus | api/networkData.py | networkData.py | py | 2,218 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.listdir",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "netifaces.ifaddresses",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "netifaces.interfaces",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "netifaces.inter... |
33010150844 | import pickle
import torch.nn.functional as F
from torch.nn.modules.module import register_module_backward_hook
from torch_geometric.nn import ChebConv
from torch.nn import ReLU
import numpy as np
import torch
import argparse
import sys, random
import os
with open("./syntheticdata", "rb") as f:
data_list = pickle.... | farhibahsan/Synthetic-Data-Generation | train.py | train.py | py | 4,628 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pickle.load",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "torch_geometric.nn.ChebConv",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.nn.Parame... |
16986926497 | from django.db import models
from django.forms import model_to_dict
import datetime
from core.modelo_base import ModeloBaseDos
from core.miembros.choices import gender_choices, estado
from config.settings import MEDIA_URL, STATIC_URL
# Sociedad Cientifica
class SCientificaModel(ModeloBaseDos):
nombre = models.Cha... | mhidalgo94/project-goac | core/miembros/models.py | models.py | py | 3,618 | python | es | code | 1 | github-code | 6 | [
{
"api_name": "core.modelo_base.ModeloBaseDos",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.db.models",
"line_number": 11,
"usage_type": "name"
},
{
"api_na... |
29104445755 | from django.urls import reverse
from rest_framework import status
from rest_framework.test import APITestCase
from ...models import Subscribe
class TestSubscribeView(APITestCase):
def setUp(self):
self.url = reverse('subscribe-list')
def test_create_subscribe(self):
data = {'email': 'foo@bar... | crowd-tools/CrowdClick | ad_source/tests/view_sets/test_subscribe.py | test_subscribe.py | py | 740 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "rest_framework.test.APITestCase",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.urls.reverse",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "rest_framework.status.HTTP_201_CREATED",
"line_number": 15,
"usage_type": "attribute"
... |
5595718046 | # Iago Leonardo Alves de Oliveira
# 04/04/2021
# Biblioteca desenvolvida para buscar infomações de anuncios de um vendedor no mercado livre
# As informações são anotadas em uma planilha do excel
# Passo a passo:
# + Recebe o caminho da pasta onde a planilha será salva
# + Cria a planilha do excel com uma aba nomeada ... | oliveira-iago/Bot_Mercado-Livre | Libs/catalogo.py | catalogo.py | py | 11,743 | python | pt | code | 1 | github-code | 6 | [
{
"api_name": "datetime.date.today",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "openpyxl.styles.PatternFill",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "openpyx... |
70694496507 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Created on Wed Apr 6 22:48:01 2016
@author: 冥凝
"""
import math
import matplotlib.pyplot as mp
import easygui as eg
G=6.67408*10**(-11) # m**3/(kg*s**2)
class earth(object):
def __init__(self,r,m):
self.r=r
self.m=m
def F(se... | LynnChen-whu/computationalphysics_N2013301020022 | 炮弹轨道.py | 炮弹轨道.py | py | 3,640 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "math.sin",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "math.cos",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "math.pi",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "math.pi",
"line_number": 64,
"... |
13934723376 | # Import the packages needed to import and transform the dataframes #
import os
import pandas as pd
import numpy as np
import geopandas as gpd
# set working directory incorrectly to test the function setting the correct working directory
os.chdir("C:\\Users\\derek.baker\\PycharmProjects")
# Create function to set the... | UCDPA-derekbaker/UCDPA_Derek_Baker | UCDA-Derek_Baker.py | UCDA-Derek_Baker.py | py | 23,469 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.chdir",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.chdir",
"line_number": 18,
"us... |
4794800019 | import matplotlib
matplotlib.use('agg')
import matplotlib.pyplot as plt
import numpy as np
import mutation_waterfall.preprocess as preprocess
def plot(mutation_list_file, n_genes=30, ax=None, file=None):
"""Generates a waterfall plot describing mutational landscape of samples.
Args:
mutation_list_fil... | dohlee/python-mutation-waterfall | src/mutation_waterfall/plot.py | plot.py | py | 2,152 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "matplotlib.use",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "mutation_waterfall.preprocess.make_binary_matrix",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "mutation_waterfall.preprocess",
"line_number": 20,
"usage_type": "name"
... |
29950824664 | from fastapi import FastAPI
from pydantic import BaseModel
app = FastAPI()
class MyRequestSchema(BaseModel):
url: str
class MyResponseSchema(BaseModel):
response: str
def my_inference_fn(req: MyRequestSchema) -> MyResponseSchema:
# This is an example inference function - you can instead import a func... | seanshi-scale/launch_image_minimal_example | launch_image_minimal_example/server.py | server.py | py | 657 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pydantic.BaseModel",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "pydantic.BaseModel",
"line_number": 11,
"usage_type": "name"
}
] |
46057864026 | # -*- coding: utf-8 -*-
from django.db.models.fields import SlugField
from django.utils.encoding import smart_str
from django.utils.text import slugify
from spirit.core.conf import settings
__all__ = ['AutoSlugField', ]
class AutoSlugField(SlugField):
"""
Auto populates itself from another field.
It b... | nitely/Spirit | spirit/core/utils/models.py | models.py | py | 1,569 | python | en | code | 1,153 | github-code | 6 | [
{
"api_name": "django.db.models.fields.SlugField",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "spirit.core.conf.settings.ST_UNICODE_SLUGS",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "spirit.core.conf.settings",
"line_number": 23,
"usage_t... |
27183928263 | ###############################################################################
# #
# Trainer.py #
# J. Steiner ... | JCSteiner/Directed-Study-Fall-2020 | ASR CNN/Trainer.py | Trainer.py | py | 8,380 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "torch.nn.CTCLoss",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 72,
"usage_type": "name"
},
{
"api_name": "torch.optim.AdamW",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "torch.optim",
"line_n... |
70725054588 | # Databricks notebook source
# MAGIC %md
# MAGIC ### Working on lap_times files
# COMMAND ----------
# DBTITLE 1,Creating parameters
dbutils.widgets.text("p_data_source", "")
v_data_source = dbutils.widgets.get("p_data_source")
# COMMAND ----------
# DBTITLE 1,Run the configuration notebook
# MAGIC %run "../0 - inc... | diassmith/formula1-project | OLD - bronze - to - silver/laptimes.py | laptimes.py | py | 2,041 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pyspark.sql.types.StructType",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.types.StructField",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.types.IntegerType",
"line_number": 30,
"usage_type": "call"
},
... |
39245522417 | import requests
from bs4 import BeautifulSoup
from random import randint
import csv
payload = {'groups': 'top_250', 'start':1}
h = {'Accept-Language': 'en-US'}
url = 'https://www.imdb.com/search/title/?genres=action'
file = open("movies.csv", "a")
file_obj = csv.writer(file)
file_obj.writerow(['Title', '... | maritevzadze/WEATHER | qvizi4.py | qvizi4.py | py | 1,041 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "csv.writer",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 20,
"usage_type": "call"
}
] |
34464335249 | from rest_framework.test import APIClient
from testing.testcases import TestCase
from utils.paginations import EndlessPagination
from django.conf import settings
from friendships.models import Friendship
from newsfeeds.models import NewsFeed
from newsfeeds.services import NewsFeedService
NEWSFEEDS_URL = '/api/newsfeed... | wangxiaoyu-au/django-twitter | newsfeeds/api/tests.py | tests.py | py | 8,916 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "testing.testcases.TestCase",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "rest_framework.test.APIClient",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "rest_framework.test.APIClient",
"line_number": 23,
"usage_type": "call"
},
{... |
26521523896 | #import libraries
import tensorflow as tf
import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
from sklearn.preprocessing import StandardScaler
from sklearn.model_selection import train_test_split
from sklearn.metrics import confusion_matrix
model = tf.keras.models.S... | NijatZeynalov/Classify-Diabetes-using-ANNs | build_model.py | build_model.py | py | 1,459 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tensorflow.keras.models.Sequential",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.keras.layers.Dense",
"line_number": 14,
"usage_type": "call"
},
{... |
75358148986 | """
@author: Ahmed Issa
"""
# Noon
from bs4 import BeautifulSoup
import requests
import csv
def get_data(pageNo):
headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3'}
source = requests.get('https://w... | AhmedIssa11/E-Commerce-Web-Scraper | noon.py | noon.py | py | 1,655 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 60,
"usage_type": "call"
}
] |
73250364989 | import socket # ソケット通信のため
import curses
# サーバーのIPアドレス
SERVER_IP = "192.168.0.3"
# ポート番号
PORT = 8000
MAP_SIZE_X = 5
MAP_SIZE_Y = 5
# サンプルマップデータ
map_data2 = [[0x20, 0x20, 0x20, 0x20, 0x20],
[0x20, 0x08, 0x80, 0x40, 0x20],
[0x20, 0x10, 0x20, 0x00, 0x20],
[0x20, 0x00, 0x00, ... | ururu17220/BombConsole | client/task3_sample.py | task3_sample.py | py | 2,871 | python | ja | code | 0 | github-code | 6 | [
{
"api_name": "socket.socket",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_STREAM",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "curses.init... |
30732388030 | import cv2
import mediapipe as mp
from utils import zoom_in, hand_zoom_factor, process_hands
from mouse import move_mouse, click_mouse
from face import detect_face
mp_hands = mp.solutions.hands
# Global zoom factor. if the zoom factor goes higher than 1, the image will zoom in on the detected face.
zoom_factor = 1
... | Pouyaexe/follow-my-face | main.py | main.py | py | 1,974 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "mediapipe.solutions",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2R... |
22382716847 | import functools
import operator
from advent import AdventProblem
def preprocess(line):
replacements = {
".": False,
"#": True,
}
return [replacements[ch] for ch in line]
def part_1(map, x_step=3, y_step=1):
x, y = 0, 0
width = len(map[0])
height = len(map)
tree_count = ... | slimshreydy/advent-of-code | submissions/day03.py | day03.py | py | 910 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "functools.reduce",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "operator.mul",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "advent.AdventProblem",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "advent.Advent... |
19617170769 | # -*- coding: utf-8 -*-
import os
import pickle
import click
from play import run, ralign, update_environment
from play.api import cli
update_environment(dict(
# VAGRANT_SETTINGS='projectB',
))
PICKLE_FILE = '.play.db'
VAGRANT_HOSTNAME = 'default.rubot.vagrant'
VAGRANT_SSH_OPTS = '-o StrictHostKeyChecking=no -o... | rubot/play | play/templates/playfile-vagrant/playfile.py | playfile.py | py | 2,593 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "play.update_environment",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "click.echo",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "click.echo",
"line... |
41865778856 | from datetime import datetime, timedelta
def get_now_date():
now_time = datetime.now().strftime('%d-%m-%y')
return now_time
def get_week_dates():
dates = []
today = datetime.now().date()
for _ in range(7):
dates.append(today.strftime('%d-%m-%y'))
today += timedelta(days=1)
... | hardt0x1c/ToDoBot | utils/utils.py | utils.py | py | 333 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime.now",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "datetime.... |
21882834027 | from django.urls import path
from . import views
urlpatterns = [
path('report/<int:event_id>/edit_event', views.create_report, name='create_report'),
path('report/<int:report_id>/report_profile', views.report_profile, name='report_profile'),
path('report/<int:user_id>/scholarship_profile', views.scholarsh... | perkypsi/SOproject | reports/urls.py | urls.py | py | 555 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
12569303632 | #import pandas for reading the xlsx File
import pandas as pd
#import pymsgbox for displaying a messagebox, the request to check if the URL from the mapping is available, the Handler for outlook, the time for the sleep, the custom py for jira
import pymsgbox, urllib.request,urllib.parse,urllib.error, win32com.client, ti... | KieniL/pymailtojira | main.py | main.py | py | 4,461 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.getcwd",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "jira_py.add_attachment",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.remove",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_numbe... |
37585101206 | # Add the 3d affine widget.
#
import pyvista as pv
pl = pv.Plotter()
actor = pl.add_mesh(pv.Sphere())
widget = pl.add_affine_transform_widget(actor)
pl.show()
#
# Access the transform from the actor.
#
actor.user_matrix
# Expected:
## array([[1., 0., 0., 0.],
## [0., 1., 0., 0.],
## [0., 0., 1., 0.],
## ... | pyvista/pyvista-docs | version/dev/api/plotting/_autosummary/pyvista-plotting-widgets-WidgetHelper-add_affine_transform_widget-1.py | pyvista-plotting-widgets-WidgetHelper-add_affine_transform_widget-1.py | py | 345 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pyvista.Plotter",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pyvista.Sphere",
"line_number": 5,
"usage_type": "call"
}
] |
20154266926 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import (division, print_function, absolute_import,
unicode_literals)
__all__ = ["geocode"]
import os
import MySQLdb
def geocode(aff, min_affils=10):
with MySQLdb.connect(host="localhost", user="root",
... | dfm/careermap | careermap/geocode.py | geocode.py | py | 924 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "MySQLdb.connect",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 15,
"usage_type": "attribute"
}
] |
44337902243 | from torch import nn, Tensor
class Net(nn.Module):
def __init__(self):
super(Net, self).__init__()
self.layers = nn.Sequential(
nn.Linear(1, 10),
# nn.Tanh(),
nn.Linear(10, 10),
nn.Tanh(),
# nn.Dropout(p=0.2),
nn.Linear(10, ... | meetinger/functionApproximator | Net.py | Net.py | py | 436 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_n... |
1256336364 | import cv2
import numpy as np
print("OpenCV version:")
print(cv2.__version__)
img = cv2.imread("image/bts-02.jpg")
print("image shape: {} pixels".format(img.shape))
print("width: {} pixels".format(img.shape[1]))
print("height: {} pixels".format(img.shape[0]))
print("channels: {}".format(img.shape[2]))
(height, widt... | Nowwook/Python | OpenCV/cv_basic/opcv_Image.py | opcv_Image.py | py | 1,579 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.__version__",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "cv2.imread",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "cv2.flip",
"line_number"... |
33549549637 | import time, os, copy, sys, json, argparse, warnings, cv2
import torch
from torch import nn
from laspy.file import File
from laspy.header import Header
from numba import jit
import numpy as np
import pandas as pd
import dask.dataframe as dd
from dask import delayed, compute
from scipy import ndimage, stats, i... | maramir6/PointCloud-implementation | data_generation.py | data_generation.py | py | 17,190 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "os.pa... |
72143874428 | from __future__ import annotations
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from src.models.task import Task
from src.models.person import Person
from typing import List, Optional
from datetime import datetime
class Employee(Person):
def __init__(self, name: str, surname: str, email: str):
... | levensworth/udesa-pc-tutorial | 2022-a/6-todo-list/solution/src/models/employee.py | employee.py | py | 2,021 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "src.models.person.Person",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "src.models.t... |
28805947146 | import argparse
import sys
from typing import IO
from prompt_toolkit.shortcuts import checkboxlist_dialog, input_dialog
from yaml import safe_dump
from ..exceptions import UserError
from ..plugin import BaseCommand
class Command(BaseCommand):
@classmethod
def get_help(cls) -> str:
return "Interactiv... | coddingtonbear/jira-select | jira_select/commands/build_query.py | build_query.py | py | 1,815 | python | en | code | 22 | github-code | 6 | [
{
"api_name": "plugin.BaseCommand",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "prompt_toolkit.shortcuts.checkboxlist_dialog",
"line_number": 26,
"usage_type": "call"
... |
28599712917 | # flask 는 웹앱을 만들기 위한 마이크로 웹 프라임워크
# render_template =
from flask import Flask, render_template, request
from vsearch import search_for_letters
app = Flask(__name__)
def log_request(req: 'flask_request', res: str) -> None:
with open('vsearch.log', 'a') as log:
print(req,res, file=log)
@app.rou... | WoojinAhnSE/HeadFirstPythonWoojin | ch5/vsearch4web.py | vsearch4web.py | py | 1,256 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.request.form",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "flask.request.form",... |
24223744659 | import sys
import os
import os.path
import re
from functools import partial
from html.entities import name2codepoint
from ..constants import preferred_encoding, filesystem_encoding
dynamic_property = lambda func: func(None)
class CurrentDir(object):
def __init__(self, path):
self.path = path
sel... | prodigeni/pdfmasher | ebooks/utils/__init__.py | __init__.py | py | 5,938 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.getcwd",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.chdir",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.chdir",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "sys.getfilesystemencoding",
"line_num... |
25805440448 | import argparse
import concurrent.futures as futures
import itertools
import json
import logging
import os
import re
import sys
import time
import urllib
from collections import defaultdict, namedtuple
from concurrent.futures import ThreadPoolExecutor
from pprint import pprint
import redis
import requests
from request... | scality/utapi | lib/reindex/s3_bucketd.py | s3_bucketd.py | py | 17,561 | python | en | code | 12 | github-code | 6 | [
{
"api_name": "logging.basicConfig",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "argparse.Argu... |
18396739406 | # Classifiers can be found here:
# https://github.com/opencv/opencv/tree/master/data
import os
import cv2
def pixelate_image(image):
temp = cv2.resize(image, (16, 16), interpolation=cv2.INTER_LINEAR)
return cv2.resize(temp, image.shape[:2], interpolation=cv2.INTER_NEAREST)
def main(classifier_path, image_p... | kelvins/ipcv-snippets | anonymize_faces/main.py | main.py | py | 1,201 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "cv2.resize",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.INTER_LINEAR",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "cv2.resize",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.INTER_NEAREST",
"li... |
74589123706 | # an example of linear regression by more comprehensive method
#Step 1: importing necessary python package
import numpy as np
import pandas as pd
from sklearn.linear_model import LinearRegression
import sklearn.metrics as ms
import matplotlib.pyplot as plt
#Step2: Importing dataset
data = pd.read_csv ('/home/kishor... | KishorKaphle/Getting_Started_with_ML | Simple LR Model.py | Simple LR Model.py | py | 1,146 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model.LinearRegression",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.scatter",
"line_number": 22,
"usage_type": "call"
},
{
"a... |
10439401983 | import pandas as pd
import time
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
espera_corta = 1
espera_larga = 3
timeout =... | estravagancia/selenium | main.py | main.py | py | 3,848 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "selenium.webdriver.Firefox",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "pandas.read_csv",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "time.sl... |
28920476590 | from time import sleep
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.by import By
def fillForms(row, column, browser):
try:
assert isinstance(row, int) and isinstance(column, int)
except AssertionError:
print("\033[1;31mTry again\0... | G0dof/python-selenium | exercícios/ex05.py | ex05.py | py | 1,178 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "selenium.webdriver.common.by.By.CSS_SELECTOR",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "selenium.webdriver.common.by.By",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.common.by.By.CSS_SELECTOR",
"line_number... |
27598185638 | from django.urls import path
from . import views
app_name = 'blog'
urlpatterns = [
path('home/',views.Home.as_view(),name='home'),
path('<int:pk>/<str:title>/',views.detail,name='detail'),
path('user/<int:pk>/',views.user_post,name="user_post"),
path('new_post/',views.NewPost.as_view(),name='new_post'),
path... | Abhishekvaish/BlogShare | blog/urls.py | urls.py | py | 399 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
4663452768 | from flask import Blueprint, request
from flask_cors import cross_origin
from bson.json_util import dumps
from dotenv import load_dotenv
import math, os
import urllib.parse
from db import db
from auth import requires_auth, requires_scope, AuthError
load_dotenv()
try:
LIMIT = int(os.getenv('DEFAULT_LOCATIONS_LIMI... | mozzio616/vege-pick | api/v1/location_am.py | location_am.py | py | 2,161 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "db.db.locations",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "db.db",
"line_n... |
4186297807 | import itertools
import logging
import string
from collections import defaultdict, deque
from urllib import parse
import click
import requests
import nltk
from nltk.corpus import stopwords
from nltk.stem import PorterStemmer, WordNetLemmatizer
from nltk.tokenize import word_tokenize
from .models import get_model
lo... | eaudeweb/NLPService | nlpservice/nlp/utils.py | utils.py | py | 4,051 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "models.get_model",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "urllib.parse.urlparse",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "urllib.parse... |
21998972206 | # Definition for a binary tree node.
class TreeNode:
def __init__(self, x):
self.val = x
self.left = None
self.right = None
class Solution:
def maxDepth(self, root: TreeNode) -> int:
if not root:
return 0
return max(self.maxDepth(root.left), self.maxDepth(ro... | hangwudy/leetcode | 剑指Offer面试题/剑指 Offer 55 - I. 二叉树的深度.py | 剑指 Offer 55 - I. 二叉树的深度.py | py | 843 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 19,
"usage_type": "call"
}
] |
40319755087 | from ansible.module_utils.basic import AnsibleModule
from ansible_collections.ansibleguy.opnsense.plugins.module_utils.base.handler import \
module_dependency_error, MODULE_EXCEPTIONS
try:
from ansible_collections.ansibleguy.opnsense.plugins.module_utils.helper.utils import profiler
from ansible_collectio... | ansibleguy/collection_opnsense | plugins/modules/webproxy_pac_match.py | webproxy_pac_match.py | py | 5,482 | python | en | code | 158 | github-code | 6 | [
{
"api_name": "ansible_collections.ansibleguy.opnsense.plugins.module_utils.base.handler.MODULE_EXCEPTIONS",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "ansible_collections.ansibleguy.opnsense.plugins.module_utils.base.handler.module_dependency_error",
"line_number": 15,
"u... |
2182683591 | #!/usr/bin/env python3
"""
SSCI MarsBot robot server
"""
import remote
import pickle
import json
import time
from ev3dev2 import DeviceNotFound
from ev3dev2.motor import MediumMotor, MoveSteering, SpeedPercent, OUTPUT_A, OUTPUT_B, OUTPUT_C
from ev3dev2.led import Led, Leds
from ev3dev2.display import Display
from Scr... | terbos90803/ev3-marsbots | marsbot-ev3/robot.py | robot.py | py | 4,157 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "Screen.init_console",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "ev3dev2.motor.MediumMotor",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "ev3dev2.motor.OUTPUT_A",
"line_number": 37,
"usage_type": "argument"
},
{
"api_name... |
31366291841 | """Init db default values
Revision ID: e008d81a779e
Revises:
Create Date: 2018-08-15 14:15:20.856976
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'e008d81a779e'
down_revision = None
branch_labels = None
depends_on = None
def upgrade():
# ### commands ... | NatLibFi/Finto-suggestions | api/migrations/versions/e008d81a779e_.py | e008d81a779e_.py | py | 6,469 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "alembic.op.create_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.Integ... |
17329250564 | import socket
import threading
from collections import namedtuple
from contextlib import contextmanager
from queue import Queue
from rich.console import Console
from rich.table import Table
from commonport import COMMON_PORTS
PortService = namedtuple('PortService', ['port', 'service'])
class PortScan... | x404xx/Port-Scanner | scanner.py | scanner.py | py | 4,022 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.namedtuple",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "contextlib.c... |
21396054389 | from typing import Any, Dict, List, Optional
from fastapi import APIRouter, FastAPI
from fastapi.responses import JSONResponse
from pydantic import BaseModel, Field
from image_builder.config import Config
from image_builder.build import build_job_image
from image_builder.health import health_response
from image_build... | TheRacetrack/racetrack | image_builder/image_builder/api.py | api.py | py | 5,373 | python | en | code | 27 | github-code | 6 | [
{
"api_name": "racetrack_client.log.logs.init_logs",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "image_builder.config.Config",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "racetrack_client.utils.config.load_config",
"line_number": 25,
"usage_typ... |
3529636643 | import asyncio
import datetime
import os
import hashlib
from typing import List, Dict, Set, Any
import ordinance
# NOTE
# see https://docs.python.org/3/library/difflib.html#difflib.HtmlDiff.make_file
# NOTE
def _hash_file(path: str) -> str:
try:
with open(path, 'rb') as file:
data = file.rea... | Kalamuwu/Ordinance-plugins | folder_monitor/monitor.py | monitor.py | py | 5,835 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "hashlib.sha512",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "ordinance.ext",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "typing.Dict",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_... |
73952551228 | import numpy as np
from astropy.table import Table, vstack, hstack
import os
import pdb
def make_total_cats(mastercat_version, mcal_bpz_dir, deep_dir, output_dir, field_list):
total_mcal_cat = Table()
total_class_cat = Table()
total_cat = Table()
for field_name in field_list:
print('Adding {0} to tot... | des-science/Y3_shearcat_tests | Stellar_contamination/make_total_cats.py | make_total_cats.py | py | 1,412 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "astropy.table.Table",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "astropy.table.Table",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "astropy.table.Table",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "astropy.ta... |
62202385 |
# train-clean-100: 251 speaker, 28539 utterance
# train-clean-360: 921 speaker, 104104 utterance
# test-clean: 40 speaker, 2620 utterance
# merged test: 80 speaker, 5323 utterance
# batchisize 32*3 : train on triplet: 5s - > 3.1s/steps , softmax pre train: 3.1 s/steps
import logging
from time import time
import num... | Walleclipse/Deep_Speaker-speaker_recognition_system | train.py | train.py | py | 9,061 | python | en | code | 235 | github-code | 6 | [
{
"api_name": "constants.DATASET_DIR",
"line_number": 44,
"usage_type": "attribute"
},
{
"api_name": "constants.PRE_TRAIN",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "logging.info",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "pre_... |
2052253559 | """
Author: xtrs
功能模块--功能条目列表控件--条目--条目设置对话框
"""
from PyQt5.QtWidgets import QApplication, QColorDialog, QFontDialog
import PyQt5.QtCore as qtc
from PyQt5.QtCore import Qt
from popup_dialog import PopDialog
# noinspection PyUnresolvedReferences
from PyQt5.uic import loadUiType
ui_StripLWItemSettingDialog, _ = loadUiTy... | xuerong-xr/Lightning | main/Components/StripLWItemSettingDialog.py | StripLWItemSettingDialog.py | py | 1,312 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PyQt5.uic.loadUiType",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "popup_dialog.PopDialog",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.Qt.WindowCloseButtonHint",
"line_number": 23,
"usage_type": "attribute"
},
{... |
18718611353 | from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^$', views.index, name='index'),
url(r'^courses$', views.courses, name='courses'),
url(r'^delete/(?P<course_id>\d)$', views.delete, name='delete'),
url(r'^destroy/(?P<course_id>\d)$', views.destroy, name='destroy'),
] | mtjhartley/codingdojo | dojoassignments/python/django/full_stack_django/courses/apps/coursesapp/urls.py | urls.py | py | 311 | python | en | code | 1 | github-code | 6 | [
{
"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.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.co... |
40303964792 | import sklearn
from sklearn.model_selection import GridSearchCV
from sklearn.model_selection import train_test_split
from sklearn.pipeline import Pipeline
from sklearn.preprocessing import RobustScaler
from sklearn.svm import SVC
from tsfresh.transformers import RelevantFeatureAugmenter
from src.constants.paths_gener... | lucmos/dynamic-sketch-recognizer | src/learner.py | learner.py | py | 8,000 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "logging.basicConfig",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "logging.ERROR",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "src.utility.chronometer.Chrono",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": ... |
19062796807 | import cv2
import numpy as np
image = cv2.imread("1.jpeg")
gray=cv2.cvtColor(image,cv2.COLOR_BGR2GRAY)
edged = cv2.Canny(image, 10, 250)
_,cnts,_ = cv2.findContours(edged.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
idx = 0
print(cnts)
for c in cnts:
#print(np.array(c).shape,cv2.boundingRect(c))
x,y,w... | pranshu28/image_classification | Code/crop.py | crop.py | py | 1,184 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "cv2.imread",
"line_number": 5,
"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": "cv2.Canny",
"line_nu... |
18101463484 | from typing import List, Tuple
from unittest import TestCase, main
class Solution:
def equationsPossible(self, equations: List[str]) -> bool:
"""union find approach"""
def rank(ch: str) -> int:
"""takes character and returns corresponding integer"""
return ord(ch) - 97 # ... | hirotake111/leetcode_diary | leetcode/satisfiability_of_equality_equations/solution.py | solution.py | py | 1,677 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "unittest.TestCase",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_num... |
71781892028 | import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
from PIL import Image
from tensorflow.keras.preprocessing.image import ImageDataGenerator
from matplotlib import image
import json
class eda_sda():
def __init__(self,img_path,folder_path,batch_size):
self.img_path = img_path
se... | jmomartinez/chest_ct_img_classfication | src/eda_sda.py | eda_sda.py | py | 2,796 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tensorflow.keras.preprocessing.image.ImageDataGenerator",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "matplotlib.image.imread",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "matplotlib.image",
"line_number": 27,
"usage_type": "name... |
37675934432 | import pygame
class GuiText:
def __init__(self, x, y, text, fontsize=30, color=(255, 255, 255), layer=5):
self.x = x
self.y = y
self.text = text
self.color = color
self.fontsize = fontsize
self.font = pygame.font.SysFont(None, self.fontsize)
self.render = se... | GrzegorzNieuzyla/Shot-em-up | shotemup/gui.py | gui.py | py | 743 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pygame.font.SysFont",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pygame.font",
"line_number": 11,
"usage_type": "attribute"
}
] |
17613672220 | import pandas as pd
import matplotlib.pyplot as plt
from datetime import datetime
# Lee el archivo CSV
df = pd.read_csv('Sadya/AURA_FFT_Subject1_Filtered.csv')
# Extrae los minutos y segundos del campo 'Time and date'
df['Time and date'] = pd.to_datetime(df['Time and date'], format='[%H:%M:%S.%f %d/%m/%Y]')
df['Minut... | subcero123/EEG-Analysis | Ploteo/ploteoFFT.py | ploteoFFT.py | py | 1,667 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "matplotli... |
36775521379 | import requests
import pytest
from unittest.mock import patch, MagicMock, create_autospec
import pickle
import os
import pandas as pd
from astropy.table import Table
from gapipes.gaia.core import Tap
from gapipes.gaia.utils import Job
@pytest.fixture
def mock_post_query():
fn = os.path.join(os.path.dirname(__file... | smoh/gapipes | gapipes/gaia/tests/test_tap.py | test_tap.py | py | 3,365 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.join",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_num... |
19204597403 | import numpy as np
from scipy.integrate import quad
from scipy.interpolate import splev, splrep
from astropy import units, constants
from .params import par
class StochasticGW:
def __init__(self, param=None, xe=None, **kwargs):
if param is None:
param = par()
self.param = param
... | sambit-giri/pySZe | src/gertsenshtein_effect.py | gertsenshtein_effect.py | py | 6,158 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "params.par",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "camb.CAMBparams",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "params.set_cosmology",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "params.set_dark_energ... |
2078443467 | # -*- coding: utf-8 -*-
import pytest
from django.core.urlresolvers import reverse
from testapp.articles.models import Article
@pytest.mark.django_db
class TestArticleSearchView(object):
def test_access(self, app, data):
response = app.get(reverse('articles:index'))
assert response.status_code ... | odoku/django-searchview | tests/test_views.py | test_views.py | py | 2,324 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.core.urlresolvers.reverse",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.core.urlresolvers.reverse",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "testapp.articles.models.Article.objects.filter",
"line_number": 23,
"us... |
31126486524 | import torch
from datasets import load_dataset
from transformers import AdamW, AutoTokenizer, AutoModelForSequenceClassification, DataCollatorWithPadding
# Same as before
checkpoint = "bert-base-uncased"
tokenizer = AutoTokenizer.from_pretrained(checkpoint)
model = AutoModelForSequenceClassification.from_pretrained(c... | SleepySoft/HuggingFaceStudy | 10.ProcessingTheData_PT.py | 10.ProcessingTheData_PT.py | py | 6,856 | python | zh | code | 0 | github-code | 6 | [
{
"api_name": "transformers.AutoTokenizer.from_pretrained",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "transformers.AutoTokenizer",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "transformers.AutoModelForSequenceClassification.from_pretrained",
"line_n... |
42206225259 | # _*_ coding: utf-8 _*_
import cv2
import sys
import gxipy as gx
from PIL import Image
from threading import Timer
import datetime
def Frame_acquire():
# 参数设定
Width_set = 640 # 设置分辨率宽
Height_set = 480 # 设置分辨率高
framerate_set = 80 # 设置帧率
# 枚举设备
device_manager = gx.DeviceManag... | Dragonchengllc/DaHeng-Camera | Image_acquire.py | Image_acquire.py | py | 4,890 | python | zh | code | 2 | github-code | 6 | [
{
"api_name": "gxipy.DeviceManager",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "gxipy.GxSwitchEntry",
"line_number": 63,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image.froma... |
30545285126 | from keras.models import Sequential
from keras.layers.core import Dense, Dropout, Activation, Flatten
from keras.layers import Conv2D, MaxPool2D
from keras.optimizers import SGD, RMSprop, adam
from keras.utils import np_utils
import numpy as np
import matplotlib.pyplot as plt
import matplotlib
import os
from sklearn.u... | limingwu8/ML | test/trainOurOwnData/trainOurOwnData.py | trainOurOwnData.py | py | 3,618 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "os.listdir",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": ... |
369147575 | import warnings
from collections import deque
from itertools import chain
import numpy as np
import torch
import torch.nn as nn
from statsmodels.tsa.arima.estimators.hannan_rissanen import hannan_rissanen
from utils import (_get_mixed_design_mat_part, _get_ordinal_design_mat_part,
_get_se... | ardafazla/jointoptimization | models/sarimax.py | sarimax.py | py | 19,766 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "utils._check_endog",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "utils._check_exog",
... |
39316038148 | from faker import Faker
from sqlalchemy import create_engine, text
import random
import uuid
# Create a Faker instance
fake = Faker()
# Create a SQLAlchemy engine
engine = create_engine('postgresql://user:mysecretpassword@localhost:5432/mydatabase')
# Number of records to generate
num_records = 100
# Start a new SQ... | ezsx/xdev-test-task | db/generate_test_data.py | generate_test_data.py | py | 2,008 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "faker.Faker",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.create_engine",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.text",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.text",... |
37546117614 | import random, json, logging, sys
from pprint import pprint
logging.basicConfig(filename='traveling_salesman.log', level=logging.DEBUG)
with open("travelling-salesman-data.json","r") as f:
data = json.loads(f.read())
def get_distance_two_cities(city1, city2):
n1 = data['names'].index(city1)
n2 = data['na... | paulbaumgarten/genetic-alg | traveling_salesman_1.py | traveling_salesman_1.py | py | 5,646 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.basicConfig",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "json.loads",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "random.choice",
"l... |
5042148324 | import mimetypes
mimetypes.init()
import base64
import textwrap
from . import FileLoader, LoaderWrappingLoader
DEFAULT_MIMETYPE = "application/octet-stream"
DATA_URI_TEMPLATE = "data:%s;base64,%s"
IMG_TEMPLATE = '<img src="%s" />'
class ImgLoader(LoaderWrappingLoader):
tag = 'img'
WRAPPED_LOADER = FileLoade... | louissobel/makejank | makejank/loaders/img_loader.py | img_loader.py | py | 954 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "mimetypes.init",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "mimetypes.guess_type",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "base64.b64encode",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "textwrap.fill",
... |
26960572250 | from logging import debug
from statistics import mean
from time import time
from typing import List, Tuple
from numpy.random import default_rng
class Simulator:
def __init__(self, lam: float, mi: float, on_time: float, off_time: float,
servers: int, time_limit: float, events_limit: int, seed: in... | deserekkk/OAST-MM1 | simulation/simulator.py | simulator.py | py | 10,874 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "numpy.random.default_rng",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "time.time",
"li... |
8866661205 | #!/usr/bin/python
from PIL import Image, ImageFont, ImageDraw
from bake_tiles import xyrange
def main():
result = Image.new('RGBA', (832, 512))
draw = ImageDraw.Draw(result)
tw = 832/32
th = 512/32
font = ImageFont.load_default()
for y,x in xyrange(th,tw):
i = (x + y)
if i%2 == 0:
color = (0,0,0,255)
e... | maxattack/ld26-eraserland | tools/render_idmap.py | render_idmap.py | py | 716 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PIL.Image.new",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "PIL.ImageDraw.Draw",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "PIL.ImageDraw",
"line_num... |
72590668987 | from __future__ import absolute_import, unicode_literals
import logging
from kombu.five import bytes_if_py2
from kombu.utils.debug import Logwrapped, setup_logging
from kombu.tests.case import Case, Mock, patch
class test_setup_logging(Case):
def test_adds_handlers_sets_level(self):
with patch('kombu.... | DMills27/CMS-Django-Application | lib/python2.7/site-packages/kombu-4.0.0rc3-py2.7.egg/kombu/tests/utils/test_debug.py | test_debug.py | py | 1,780 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "kombu.tests.case.Case",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "kombu.tests.case.patch",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "kombu.tests.case.Mock",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "ko... |
13001799095 | import yaml
import importlib
import inspect
from collections import defaultdict
from copy import deepcopy
import ast
from torch.utils.data import DataLoader
from torchvision import transforms
import numpy as np
import itertools
import pandas as pd
import datetime
import torch
from torch.utils.data import DataLoader
fro... | linyongver/ZIN_official | landcover.py | landcover.py | py | 6,759 | python | en | code | 15 | github-code | 6 | [
{
"api_name": "importlib.import_module",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "inspect.getfullargspec",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms.Compose",
"line_number": 53,
"usage_type": "call"
},
{
"api... |
36961532301 | #!/usr/bin/env python
# coding: utf-8
# # Covid-19 SI$_n$R Model
#
#
# First, import all necessary libraries
# In[1]:
import numpy as np
import ast
from os.path import exists
from scipy.optimize import minimize
from scipy.optimize import fsolve
from scipy.integrate import odeint
from scipy.stats import gamma
from... | annette-bell/SInR-Covid-Dissertation | SInR_Model_Analysis.py | SInR_Model_Analysis.py | py | 37,579 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pandas.read_excel",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 56,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.ga... |
15252589390 | import uuid
from django.db import models
from django.utils.translation import ugettext_lazy as _
from django.contrib.auth.models import AbstractUser
class BaseModel(models.Model):
"""
Setups default class representation and adds created_date and
modified_date database fields.
"""
id =... | VikaZorenko/security | lab5/myapp/models.py | models.py | py | 1,274 | python | en | code | 0 | github-code | 6 | [
{
"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.UUIDField",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": ... |
6506027495 | from django.db.models import QuerySet
from rest_framework import status
from rest_framework.decorators import api_view
from rest_framework.permissions import IsAuthenticated
from rest_framework.request import Request
from rest_framework.response import Response
from rest_framework.views import APIView
from applicatio... | chpenaf/DotSportsBackend | applications/catalog/api/views.py | views.py | py | 10,298 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rest_framework.views.APIView",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "serializers.ServiceSerializer",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "models.Service.objects.all",
"line_number": 32,
"usage_type": "call"
},
{
... |
31601486608 | from django import db
from django.db import models
from autoslug import AutoSlugField
class CategoriesModel(models.Model):
categoryName = models.CharField(max_length=30,blank=False,null=False)
slug = AutoSlugField(populate_from = 'categoryName', unique=True)
class Meta:
db_table = 'category'
... | yusuf-teker/django-library-management | library/models/categories.py | categories.py | py | 372 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.db.models.Model",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "... |
8420564941 | # Program to show formatting of date time
from datetime import datetime
now = datetime.now()
t = now.strftime("%H:%M:%S")
print("time:", t)
str1 = now.strftime("%m/%d/%Y, %H:%M:%S")
# mm/dd/YY H:M:S format
print("str1:", str1)
str2 = now.strftime("%d/%m/%Y, %H:%M:%S")
# dd/mm/YY H:M:S format
print("str2:", str2) | davidjava1991/Python3CompleteCourse | Section8/lecture85/Program4.py | Program4.py | py | 314 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "datetime.datetime.now",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 4,
"usage_type": "name"
}
] |
38650384243 | import pickle
import pandas as pd
import logging
log = logging.getLogger("EHR-ML")
def calculateMccF1(x, y):
import sys
import os
import rpy2.robjects as robjects
from rpy2.robjects.packages import importr
# import R's "base" package
mccf1 = importr('mccf1')
old_stdout = sys.stdout #... | ryashpal/EHR-ML | ehrml/utils/MlUtils.py | MlUtils.py | py | 17,014 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "rpy2.robjects.packages.importr",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "sys.s... |
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