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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1398613154 | """ Outlines the classes for submission. """
from django.db import models
# The choices of every room as a constant
building_choices = (('ALEXANDER', 'Alexander'),
('AMORY', 'Amory'),
('BUSINESSSCHOOLBUILDINGONE', 'Business School Building:One'),
('BYRNEHOUSE... | jjandrew/GroupEngineeringProjectGroup4 | technical-documents/source-code/submission/models.py | models.py | py | 5,016 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.db.models.Model",
"line_number": 71,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 71,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 80,
"usage_type": "call"
},
{
"api_name"... |
4554015495 | #!/usr/local/bin/python3
import os
import torch
import torch.utils.data
import torchvision.transforms as transforms
import torch.optim as optim
from torch.autograd import Variable
import torch.nn as nn
from utils import Data, pil_loader
import numpy as np
from models.resnet import resnet50
from PIL import Image
def g... | soosiey/image-ranking | val_precision.py | val_precision.py | py | 1,620 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "utils.pil_loader",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.reshape",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms.Resize",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "torchvis... |
5894114248 | import torch
from torch import nn
from torch.nn import Conv2d, MaxPool2d, Flatten, Linear, Sequential
from torch.utils.tensorboard import SummaryWriter
class Tudui(nn.Module):
def __init__(self):
super(Tudui, self).__init__()
self.model1 = Sequential(
Conv2d(in_channels=3, out_channels... | TristanAlkaid/project | model/nn_seq.py | nn_seq.py | py | 1,072 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.nn.Conv2d",
... |
23987500861 | import tensorflow as tf
import numpy as np
import pandas as pd
import os
from PIL import Image
from tqdm import tqdm
from keras.preprocessing.image import ImageDataGenerator
from keras.utils import np_utils
from keras.layers import Conv2D, MaxPool2D, Dense, BatchNormalization, Activation, GlobalAveragePooling2D
fr... | sylarchen1389/Simple-cnn-node-for-barrel-colour-classification | scripts/CauctusNet.py | CauctusNet.py | py | 4,261 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "numpy.load",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "numpy.load",
"line_number": ... |
24151617806 | #!/usr/bin/env python3
import setuptools
with open("README.md", "r") as f:
long_description = f.read()
setuptools.setup(
name="animator", # Replace with your own username
version="0.0.1",
author="Ali Shannon",
author_email="alishanoon@hotmail.com",
description="An animation tool for python.",
... | techshot25/animator | setup.py | setup.py | py | 781 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "setuptools.setup",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 16,
"usage_type": "call"
}
] |
70396780667 | """Mixins for evaluation and exploration.
Author: Toshinori Kitamura
Affiliation: NAIST & OSX
"""
from __future__ import annotations
from typing import Dict, Tuple
import distrax
import gym
import jax
from chex import Array, PRNGKey
import shinrl as srl
from shinrl import Sample, collect_samples
OBS, ACT, LOG_PROB ... | omron-sinicx/ShinRL | shinrl/solvers/base/base_mixin.py | base_mixin.py | py | 5,931 | python | en | code | 42 | github-code | 6 | [
{
"api_name": "chex.Array",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "gym.Env",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "gym.wrappers",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "chex.PRNGKey",
"line_nu... |
32636735870 | import logging
import re
import six
from azure.graphrbac import GraphRbacManagementClient
from c7n_azure.actions.base import AzureBaseAction
from c7n_azure.provider import Azure
from c7n_azure.provider import resources
from c7n_azure.query import QueryResourceManager, DescribeSource
from c7n_azure.session import Sessi... | LRuttenCN/cloud-custodian | tools/c7n_azure/c7n_azure/resources/access_control.py | access_control.py | py | 7,401 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "c7n_azure.query.QueryResourceManager",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "c7n_azure.session.Session",
"line_number": 44,
"usage_type": "call"
},
{
"... |
29833817666 | import os
import re
import shutil
import sys
import zipfile
def normalize(name):
translit_dict = {
'а': 'a', 'б': 'b', 'в': 'v', 'г': 'h', 'ґ': 'g',
'д': 'd', 'е': 'e', 'є': 'ye', 'ж': 'zh', 'з': 'z',
'и': 'y', 'і': 'i', 'ї': 'i', 'й': 'i', 'к': 'k',
'л': 'l', 'м': 'm', 'н': 'n', 'о... | DenK0-UA/GoIT_HW06 | sort.py | sort.py | py | 6,147 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "re.sub",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.walk",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 35,
"usa... |
19450318250 | """
Implementation specific for Single Frame CAN packets.
This module contains implementation specific for :ref:`Single Frame <knowledge-base-can-single-frame>` packets - that
includes :ref:`Single Frame Data Length (SF_DL) <knowledge-base-can-single-frame-data-length>` parameter.
"""
__all__ = ["CanSingleFrameHandle... | mdabrowski1990/uds | uds/can/single_frame.py | single_frame.py | py | 24,420 | python | en | code | 62 | github-code | 6 | [
{
"api_name": "addressing_format.CanAddressingFormat",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "uds.utilities.RawBytesAlias",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 38,
"usage_type": "name"
},
{
... |
31601537718 |
from library.views.bookDetail import BookDetailView
from library.views.category import CategoryListView
from django.urls import path,include
from library.views import homepage,myBooks,contact,ContactFormView,extend_demand, borrow_demand, UpdateBookUpdateView,DeleteBookDeleteView, give_or_return_book,AddBookCreateView,... | yusuf-teker/django-library-management | library/urls.py | urls.py | py | 1,334 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "library.views.homepage",
"line_number": 8,
"usage_type": "argument"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "library.vie... |
14575188165 | """ from skimage.color import rgb2gray
import numpy as np
import cv2
import matplotlib.pyplot as plt
from scipy import ndimage
image = plt.imread('D:\careers\python-my-projects\django\project-code\django_project\server2\django_project\servAgri\output\msavi-image.png')
image.shape
plt.imshow(image)
plt.show()
gray = ... | AhmedB1a/satt-imagery | django_project/servAgri/imagesementation.py | imagesementation.py | py | 3,946 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "osgeo.gdal.UseExceptions",
"line_number": 80,
"usage_type": "call"
},
{
"api_name": "osgeo.gdal",
"line_number": 80,
"usage_type": "name"
},
{
"api_name": "osgeo.gda... |
25185419774 | import logging
import os.path
import pandas as pd
import numpy as np
import gspread
from gspread_dataframe import get_as_dataframe
from itertools import product
from tqdm import tqdm
import seaborn as sns
from io import StringIO
class RarityTable:
def __init__(self, raw_data: pd.DataFrame):
self.__raw_data = raw_d... | thomaswinged/generative-notch | generative_notch/_deprecated/rarity_table.py | rarity_table.py | py | 9,962 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.DataFrame",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "pandas.DataFrame",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pandas.DataFr... |
12224577399 | import seaborn as sns
import matplotlib.pyplot as plt
# Example FHIR records
fhir_records = [
{
"resourceType": "Observation",
"code": {
"coding": [
{
"system": "http://loinc.org",
"code": "72166-2",
"display": ... | alpotapov/2023-fvm-dataverse | packages/bacalhau_job/analysis.py | analysis.py | py | 2,060 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "seaborn.scatterplot",
"line_number": 79,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.xlabel",
"line_number": 80,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 80,
"usage_type": "name"
},
{
"api_name": "matplo... |
27414399458 | import gmpy2
import libnum
import binascii
from Cryptodome.Util.number import long_to_bytes
def encrypt_Rsa(p, q, n, e, m):
m = libnum.s2n(m)
c = libnum.n2s(pow(m, e, n))
c = binascii.hexlify(c)
return c
def decrypt_Rsa(p, q, n, e, c):
phi = (p - 1) * (q - 1)
d = gmpy2.invert(... | iRurl/Ciphey | RSA/Rsa_npq.py | Rsa_npq.py | py | 444 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "libnum.s2n",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "libnum.n2s",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "binascii.hexlify",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "gmpy2.invert",
"line_number"... |
27009831458 | import numpy as np
import run as r
'''
[id]
128
[name]
orthogonal_mp
[input]
x_train 训练集 训练集标签数据集 二维数组 必须 定数
y_train 测试集 测试集数据集 二维数组 必须 定数
x_test 训练集标签 训练集标签标签 一维数组 必须 定数
y_test 测试集标签 测试集标签 一维数组 必须 定数
n_nonzero_coefs 非零条目数 默认为None,解决方案中所需的非零条目数。如果为None(默认)，... | lisunshine1234/mlp-algorithm-python | machine_learning/regression/linear_models/orthogonal_mp/main.py | main.py | py | 3,793 | python | zh | code | 0 | github-code | 6 | [
{
"api_name": "run.run",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "numpy.delete",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 83... |
31068810234 | from functools import total_ordering
from util import Normalize
from config import config
import re
import copy
def rel_delta(a: float, theory: float):
return (a-theory) / theory
def CalMass(elements: dict[str, float], charge=0):
mass = 0.000000
if len(elements) == 0:
return mass
for e in el... | RaoboXu/Lipidwizard | molecule.py | molecule.py | py | 13,227 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "config.config.ElementTable",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "config.config",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "config.config.E_MASS",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name"... |
43124930130 | """
Test API
This module contains test cases for the calculator endpoint of the API.
It utilizes the pytest framework and the FastAPI test client.
"""
import pytest
from fastapi.testclient import TestClient
from my_api import app
client = TestClient(app)
@pytest.mark.parametrize("value1, value2, operation, expecte... | JGattringer/fast_API | test_api.py | test_api.py | py | 2,344 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "fastapi.testclient.TestClient",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "my_api.app",
"line_number": 12,
"usage_type": "argument"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "... |
31481773542 | from classNodo import Nodo
from zope.interface import Interface
from zope.interface import implementer
from InterfaceLista import ILista
from classNuevo import VehiculoNuevo
from classUsado import VehiculoUsado
from classVehiculo import Vehiculo
@implementer(ILista)
class Lista:
__comienzo=None
__act... | gercaballero/U3-EJERCICIO-6 | classColeccion.py | classColeccion.py | py | 5,683 | python | es | code | 0 | github-code | 6 | [
{
"api_name": "classNodo.Nodo",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "classNodo.Nodo",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "classUsado.VehiculoUsado",
"line_number": 84,
"usage_type": "argument"
},
{
"api_name": "classNuevo... |
39830169774 | import sys
from collections import deque
N, L, R = map(int, sys.stdin.readline().rstrip().split())
graph = []
moves = [[0, 1], [1, 0], [0, -1], [-1, 0]]
for i in range(N):
graph.append(list(map(int, sys.stdin.readline().rstrip().split())))
def bfs(i, j):
queue = deque([[i, j]])
temp = [[i, j]]
visit... | omg7152/CodingTestPractice | GraphTraversal/MovePopulation_16234.py | MovePopulation_16234.py | py | 1,250 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.stdin.readline",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "sys.stdin.readline",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"li... |
70746936508 | import OpenGL.GL as GL
import numpy as np
from tremor.graphics import shaders
from tremor.graphics.shaders import MeshProgram
from tremor.graphics.surfaces import Material
from tremor.loader.texture_loading import TEXTURE_TABLE
from tremor.math.transform import Transform
class Mesh:
def __init__(self):
s... | a-bainbridge/tremor | tremor/graphics/mesh.py | mesh.py | py | 3,337 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "OpenGL.GL.glGenVertexArrays",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "OpenGL.GL",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "tremor.graphics.shaders.MeshProgram",
"line_number": 14,
"usage_type": "name"
},
{
"api_nam... |
30685525471 | import unittest
from unittest.mock import Mock
from aiologger.filters import StdoutFilter, Filter, Filterer
from aiologger.levels import LogLevel
from tests.utils import make_log_record
class FilterTests(unittest.TestCase):
def test_filter_allows_records_with_name_equal_to_filter_name(self):
filter = Fil... | async-worker/aiologger | tests/test_filters.py | test_filters.py | py | 4,616 | python | en | code | 114 | github-code | 6 | [
{
"api_name": "unittest.TestCase",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "aiologger.filters.Filter",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tests.utils.make_log_record",
"line_number": 12,
"usage_type": "call"
},
{
"api_na... |
18918096332 | import sys
from .utils import skip_projects_except
BAD_COMMAND = "not-a-name"
@skip_projects_except("script")
def test_run_unknown_script(ape_cli, runner, project):
result = runner.invoke(ape_cli, ["run", BAD_COMMAND])
assert result.exit_code == 2
assert f"No such command '{BAD_COMMAND}'." in result.out... | ApeWorX/ape | tests/integration/cli/test_run.py | test_run.py | py | 5,925 | python | en | code | 736 | github-code | 6 | [
{
"api_name": "utils.skip_projects_except",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "utils.skip_projects_except",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "utils.skip_projects_except",
"line_number": 36,
"usage_type": "call"
},
{
"a... |
3477184290 | import argparse
import json
import logging
import os
from funcy import first
from dvc.cli import completion
from dvc.cli.command import CmdBase
from dvc.cli.utils import append_doc_link, fix_subparsers
from dvc.exceptions import DvcException
from dvc.ui import ui
from dvc.utils import format_link
logger = logging.ge... | gshanko125298/Prompt-Engineering-In-context-learning-with-GPT-3-and-LLMs | myenve/Lib/site-packages/dvc/commands/plots.py | plots.py | py | 13,885 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "dvc.render.convert.to_json",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "dvc.ui.ui.write_json",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "dvc... |
35322012226 | import time
import torch
import random
import numpy as np
import torch.nn.functional as F
import torch.optim as optim
from models.mgat import MGAT
from models.mgcn import MGCN
from utils.util import accuracy, fmeasure, rlap, prediction, \
expand_index
from utils.input_data import load_data, encode_onehot
from train... | lorenzozangari/ML_GNN | training/train.py | train.py | py | 9,262 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "models.mgat.MGAT",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "torch.nn.functional.elu",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.functional",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "mod... |
7789716967 | from model import MNISTClassifier
from aermanager import LiveDv
import torch
from sinabs.from_torch import from_model
IMG_SIZE = 64
live = LiveDv(qlen=64, two_channel_mode=False, host='192.168.11.72')
model_analog = MNISTClassifier()
model_analog.load_state_dict(torch.load('models/l1-fanout-qtrain_1662224.4079924966.p... | fgr1986/synoploss | mnist_dvs/live.py | live.py | py | 1,015 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "aermanager.LiveDv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "model.MNISTClassifier",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torch.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sinabs.from_torch.fro... |
11859272636 | import logging
from time import time
from typing import Any
from pandas import DataFrame
from freqtrade.freqai.data_kitchen import FreqaiDataKitchen
from freqtrade.freqai.freqai_interface import IFreqaiModel
logger = logging.getLogger(__name__)
class BaseTensorFlowModel(IFreqaiModel):
"""
Base class for T... | robcaulk/freqai | freqtrade/freqai/base_models/BaseTensorFlowModel.py | BaseTensorFlowModel.py | py | 2,572 | python | en | code | 42 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "freqtrade.freqai.freqai_interface.IFreqaiModel",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "pandas.DataFrame",
"line_number": 21,
"usage_type": "name"
},
{
... |
17585499964 | from django.http import HttpResponse
from user_login.views import authentication
from django.http import JsonResponse, HttpResponse
from django.db.models import Q
from .models import Images
def index(request):
return HttpResponse("Hello, world. You're at the manage image index.")
# 添加新的镜像
def create_image(reque... | hjq133/daishuju | mysite/manage_image/views.py | views.py | py | 2,117 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.http.HttpResponse",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "user_login.views.authentication",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.http.HttpResponse",
"line_number": 17,
"usage_type": "call"
},
{
"... |
11592010452 | import os
import sys
import time
import colorama
from os import system
from time import sleep
from colorama import *
from colorama import Back, Fore, Style
import threading , tls_client , requests
from twocaptcha import TwoCaptcha
solver = TwoCaptcha('ENTER YOUR 2CAPTCHA DEVELOPER API KEY')
w = Fore.WHITE
b = Fore.BL... | RojanGamingYT/Discord-Username-Sniper | Old Versions/v2/discord.py | discord.py | py | 7,247 | python | en | code | 78 | github-code | 6 | [
{
"api_name": "twocaptcha.TwoCaptcha",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "colorama.Fore.WHITE",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "colorama.Fore",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "colorama... |
39732278033 | # from mainapp.models import Deal, Stage
# from api_v1.serializers import DealSerializer
import logging
import datetime
from . import bitrix24
from ..models import Task, TaskTitle
from . import params
logger_success = logging.getLogger('success')
logger_success.setLevel(logging.INFO)
fh_success = logging.handlers.T... | Oleg-Sl/007_bx24_task_event_handler | changingtasks/api_v2/services/service_func.py | service_func.py | py | 15,843 | python | ru | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "logging.handlers.TimedRotatingFileHandler",
"line_number": 14,
"usage_type": "call"
},
{
"api... |
23225092989 | #!/usr/bin/python3
import sys, selectors, socket, time, random, serial
sys.path.append("../core")
from message import Message
ser = serial.Serial("/dev/ttyACM0", 57600)
#purge buffer
while ser.in_waiting > 0:
ser.read()
sel = selectors.DefaultSelector()
sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s... | kholland4/hab | nodes-iface/iface-serial.py | iface-serial.py | py | 1,084 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "serial.Serial",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "selectors.DefaultSelector",
... |
74173613628 | from cloud import upload_blob, delete_blob, delete_bucket_content, delete_bucket, check_bucket_exist, create_bucket, bucket_name
import os
import json
import pathlib
#import voice
import os
import re
def sorted_alphanumeric(data):
convert = lambda text: int(text) if text.isdigit() else text.lower()
alphanum_k... | yann-furrer/Tiktok_video_generator | script/import_bucket.py | import_bucket.py | py | 1,523 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "re.split",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 24,... |
19880739659 | import cv2
import sys
import os
nRows = 8
# Number of columns
mCols = 8
# Reading image
img = cv2.imread('/home/shobhik/Mini_proj_chess/images/chess.jpg')
#print img
#cv2.imshow('image',img)
# Dimensions of the image
sizeX = img.shape[1]
sizeY = img.shape[0]
for i in range(0,nRows):
for j in range(0, mCol... | s-bray/Chess-Board-Split-up | slice_2.py | slice_2.py | py | 1,050 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "cv2.imread",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.imwrite",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "cv2.imwrite",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "cv2.imwrite",
"line_number": 3... |
26372008360 | import os
import torch
from torch.utils.data import Dataset
import gensim
import numpy as np
from transformers import BertTokenizer,BertTokenizerFast
def build_vocab(config):
'''
get the vocab from train, val ,test
return the word2id(python dict), id2word(python list), word_cnt
'''
word2id = {'PAD'... | hour01/NLP-Beginner | Named Entity Recognition/code/preprocess.py | preprocess.py | py | 11,386 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.join",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "gensim.models.KeyedVectors.load_word2vec_format",
"line_number": 34,
"usage_type": "call"
},
{
"api_nam... |
33487674331 | import PyPDF2
import nltk
from nltk.corpus import stopwords
from nltk.tokenize import word_tokenize
from nltk.stem import PorterStemmer
import functools
##### ------------ Pre-Processing -----------------------#####
## configure stemmer
ps = PorterStemmer()
## configure stop words for programs
stop_word... | deepak140596/ExtractKeywords | keywordExtract.py | keywordExtract.py | py | 1,614 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "nltk.stem.PorterStemmer",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwords.words",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwords",
"line_number": 14,
"usage_type": "name"
},
{
"api_nam... |
2422884448 | """
Recipe Admin Registration
"""
from django.contrib import admin
from .models import Recipe
# Register your models here.
class RecipeAdmin(admin.ModelAdmin):
"""
Fixing a custom admin panel
"""
list_display = (
'name',
'category',
'price',
)
admin.site.register(Recipe, ... | SaintHuddini/Pizza-house | orders/admin.py | admin.py | py | 333 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.contrib.admin.site.register",
"line_number": 20,
"usage_type": "call"
},... |
5340401958 | import pyrebase
from pyfcm import FCMNotification
import os
# load in API keys
with open('API_keys/db_key.key', 'r') as key_file:
db_key = key_file.read().replace('\n', '')
with open('API_keys/fcm_key.key', 'r') as key_file:
fcm_key = key_file.read().replace('\n', '')
config = {
"apiKey": db_key,
"authDo... | SimonIlic/project-psychic-waffle | server-client/client.py | client.py | py | 1,984 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pyrebase.initialize_app",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pyfcm.FCMNotification",
"line_number": 21,
"usage_type": "call"
}
] |
10587631629 | import requests
from tkinter import *
api_key = "3a60b2730b06fee2b625c0fc91997344"
url = "http://data.fixer.io/api/latest?access_key=" + api_key
def show_entry_fields():
# print("First Currency: %s\nSecond Currency: %s" % (e1.get(), e2.get()))
first_currency = e1.get()
second_currency = e2.get(... | xramm57/my-first-Python-converter | currency2.py | currency2.py | py | 1,714 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 47,
"usage_type": "call"
}
] |
72117326588 | # -*- coding: utf-8 -*-
"""
Created on Mon Jan 31 13:51:25 2022
@author: Thoma
"""
import pandas as pd
from twilio.rest import Client
ACCOUNT_SID = 'x'
AUTH_TOKEN = 'x'
TWILIO_NUMBER = 'x'
FILE_NAME = 'users.csv'
def retrieve_entry(file_name: str) -> list:
'''
Returns top row of csv and mov... | ThomasWarford/py_rota | py_rota.py | py_rota.py | py | 1,230 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "twilio.rest.Client",
"line_number": 40,
"usage_type": "call"
}
] |
15404138500 | import sys
from torchtext import data
from torch import save
TEXT = data.Field(lower=True,init_token="<start>",eos_token="<end>")
LABELS = data.Field()
train, val, test = data.TabularDataset.splits(
path='kdata', train='_train.tsv',
validation='_dev.tsv', test='_test.tsv', format='tsv',
fields=[('text', T... | rikkarikka/nn_math_solver | k_data/preprocess.py | preprocess.py | py | 579 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torchtext.data.Field",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "torchtext.data",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "torchtext.data.Field",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "torchtext.data"... |
20989049247 | import praw
import time
def handle_rate_limit(exc: praw.exceptions.RedditAPIException) -> None:
error_words = str(exc).lower().split()
if 'minutes' in error_words:
sleepy_time = error_words[error_words.index('minutes')-1]
print("Sleeping for " + str(sleepy_time) + " minutes")
... | nilavenkat/BernieBot | make_posts.py | make_posts.py | py | 2,652 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "praw.exceptions",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "time.sleep",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "praw.Reddit",
"line_num... |
32585956781 | import hou
import os
import shutil
from PySide2 import QtGui, QtWidgets, QtCore,QtUiTools
from PySide2.QtWidgets import QApplication, QMainWindow, QWidget, QGridLayout, QPushButton
from PySide2.QtGui import QIcon, QPixmap
uifile = "E:/Work/python_dev/QT_project_launcher/qt_ui_files/hou_tools_ui/cache_collector.ui"
... | karanfx/Glacier_Pipeline_Tools | tools/houdini/collect_caches.py | collect_caches.py | py | 7,159 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "PySide2.QtWidgets.QWidget",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "PySide2.QtWidgets",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "PySide2.QtUiTools.QUiLoader",
"line_number": 15,
"usage_type": "call"
},
{
"api_... |
26776960920 | """Unit tests for the Pyflakes plugin."""
import argparse
import os
import subprocess
import mock
from yapsy.PluginManager import PluginManager
import statick_tool
from statick_tool.config import Config
from statick_tool.package import Package
from statick_tool.plugin_context import PluginContext
from statick_tool.pl... | sscpac/statick | tests/plugins/tool/pyflakes_tool_plugin/test_pyflakes_tool_plugin.py | test_pyflakes_tool_plugin.py | py | 5,734 | python | en | code | 66 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "statick_tool.resources.Resources",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": ... |
35001108609 | import torch.nn as nn
import torch.nn.functional as F
from src.extractors import EXTRCT_REGISTRY
from . import MODEL_REGISTRY
from .abstract import ClsBase
from src.utils.losses import FocalLoss
class ClassifyBlock(nn.Module):
def __init__(self, inp_dim, num_cls, embed_dim=1024) -> None:
super().__init__... | nhtlongcs/AIC2022-VER | src/models/srl.py | srl.py | py | 2,588 | python | en | code | 10 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"lin... |
28969830133 | """
Dataitem module.
"""
from __future__ import annotations
import typing
from typing import Self
from sdk.entities.base.entity import Entity
from sdk.entities.dataitem.metadata import build_metadata
from sdk.entities.dataitem.spec import build_spec
from sdk.entities.utils.utils import get_uiid
from sdk.utils.api imp... | trubbio83/core | sdk/sdk/entities/dataitem/entity.py | entity.py | py | 10,113 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "sdk.entities.base.entity.Entity",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "sdk.entities.dataitem.metadata.DataitemMetadata",
"line_number": 36,
"usage_typ... |
17560794893 | from django.db import IntegrityError
from scrapy.exceptions import DropItem
from app.models import Product, ProductVendorDetails
class ProductManager:
@staticmethod
def update_with_item(product, item):
product.name = item.get('name')
product.reference = item.get('reference')
product.im... | adhess/offer-tn-backend | ecommerce_scraper/ecommerce_scraper/entity_managers.py | entity_managers.py | py | 3,009 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "app.models.Product.objects.filter",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "app.models.Product.objects",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "app.models.Product",
"line_number": 17,
"usage_type": "name"
},
{
... |
20655631888 | """
@author Zack Meyer
"""
import os
import pybel
import openbabel
import addH
import LigandChargeFinder
import ChangeCharge
class MethylSub:
def __init__(self, mol, bond_iter, num_atom):
self.mol = mol
self.bond_iter = bond_iter
self.num_atom = num_atom
self.metal_ind = 0
... | DanielEss-lab/PolyjuicePotion | MethylSub.py | MethylSub.py | py | 7,615 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "openbabel.OBAtomBondIter",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "LigandChargeFinder.LigandChargeFinder",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "openbabel.OBAtomBondIter",
"line_number": 74,
"usage_type": "call"
},
... |
2839363771 | from flask import Flask, render_template
from mysqlconnection import MySQLConnection
app = Flask(__name__)
@app.route('/')
def home():
conn = MySQLConnection('taskdb')
conn.log_requests()
result = conn.query_db()
conn.close()
return render_template('index.html', data=result)
if __name__=="__main__":
app.run()
... | ranriy/python_task | server.py | server.py | py | 321 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "mysqlconnection.MySQLConnection",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 12,
"usage_type": "call"
}
] |
35412560360 |
from sklearn.decomposition import NMF
import pandas as pd
def feature_vectors(corpus, kwargs=None):
"""Multinomial and TF-IDF representations
Paramaters
----------
corpus : array-like
A collection of documents
kwargs : dict, default None
Keyword arguments of variable length
... | policyglot/topic_models_dating | nmf_utils.py | nmf_utils.py | py | 2,298 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "pandas.Series",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "sklearn.decomposition.NMF",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "sklearn.decomposition.NMF",
"line_number": 80,
"usage_type": "call"
}
] |
33658223064 | from django.urls import path, include
from dictionary_app.accounts.views import LoginView, RegisterView, SignOutView, UserEditView, UserDeleteView
urlpatterns = (
path('', LoginView.as_view(redirect_authenticated_user=True), name='login'),
path('register/', RegisterView.as_view(), name='register'),
path('... | Taner940706/dictionary-app | dictionary_app/dictionary_app/accounts/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": "dictionary_app.accounts.views.LoginView.as_view",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "dictionary_app.accounts.views.LoginView",
"line_number": 6,
"usage_type": ... |
38452055882 | from itertools import combinations
import sys
input = sys.stdin.readline
n,k = map(int,input().split())
words = [set(list(input().rstrip())) for _ in range(n)]
N = [chr(i+97) for i in range(26)]
always = ["a","n","t","i","c"]
for i in always:
N.remove(i)
comb = combinations(N,k-5)
maxWord = 0
print(words)
for c... | LightPotato99/baekjoon | bitmask/teaching.py | teaching.py | py | 482 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.stdin",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "itertools.combinations",
"line_number": 12,
"usage_type": "call"
}
] |
12114459605 | """Activity set definitions for OpenPack dataset.
"""
from dataclasses import dataclass
from logging import getLogger
from typing import Tuple, Union
import numpy as np
logger = getLogger(__name__)
@dataclass
class ActClass():
"""dataclass that represent a single activity class.
"""
id: int
name: st... | open-pack/openpack-toolkit | openpack_toolkit/activity/__init__.py | __init__.py | py | 5,338 | python | en | code | 6 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "typing.Union",
... |
10698672256 | #! /usr/bin/env python3
'''
The Flex Transpiler.
Usage:
flex_transpiler <source> -l <lang> [-o <output>]
flex_transpiler -h
Arguments:
<source> Path to the input Flex source file.
Options:
-l <lang>, --target-language <lang> The target language to transpile to.
-o <output>, --output <output> ... | Flex-lang/transpiler | transpiler/flex_transpiler.py | flex_transpiler.py | py | 3,199 | python | en | code | 25 | github-code | 6 | [
{
"api_name": "re.compile",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "docopt.docopt",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "rasa_nlu.model.Interpreter.load",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "rasa_nlu.mod... |
23552960883 | #########################################################################
# File Name: getCommonRepeat.py
# Author: yanbo
# mail: liyanbotop@163.com
# Created Time: Tue 18 Jun 2019 09:49:33 AEST
#########################################################################
#!/bin/bash
import collections
from Bio import Seq... | yanboANU/VariationCalling | libprism/evaluate/getCommonRepeat.py | getCommonRepeat.py | py | 2,019 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "Bio.SeqIO.read",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "Bio.SeqIO",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "sys.argv",
"line_number": ... |
2975999557 | import pandas as pd
from openpyxl import load_workbook
import dateAndTimeGenerator
import os
# TODO: appending seasons and holiday happens here. write the code and
# change the file name into addPoliceAndHolidayData.py later
"""
to use this code first you need to have both traffic and police data in same folder just... | BlueSoheil99/myRoadSafetyCodes | addPoliceData.py | addPoliceData.py | py | 4,588 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.listdir",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "pandas.read_excel",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "dateAndTimeGenerator.get_full... |
33688437095 | import dash
import dash_table
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
import pandas as pd
import plotly.graph_objs as go
import dropbox
# Step 1. Launch the application
app = dash.Dash()
server=app.server
# Step 2. Import the dataset
... | yogeshkumarmangal/Dashboard | apps.py | apps.py | py | 3,465 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "dash.Dash",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "dropbox.Dropbox",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line... |
19329109543 | import pygame
pygame.init()
WIDTH = 900
HEIGHT = 600
screen = pygame.display.set_mode((WIDTH, HEIGHT))
pygame.display.set_caption("마지막 프로젝트 Python Pong")
font20 = pygame.Font(None, 20)
clock = pygame.Clock()
class Paddle:
def __init__(self, x, y, width, height, speed, color):
self.x = x
self.y = ... | narilee2006/pong | main.py | main.py | py | 3,899 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pygame.init",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "pygame.display.s... |
72324819069 | import os
import sys
import shutil
import subprocess
import webbrowser
import zipfile
from PIL import Image
from utils.androidImageSize import androidIslemListesi
from utils.iOSImageSize import iOSIslemListesi, klasorPath
from utils.toZip import zipdir
imagePath = '/Users/avdisx/PycharmProjects/iconGenerator/iconImag... | avdisx/Android-iOS-IconGenerator | main.py | main.py | py | 1,842 | python | tr | code | 0 | github-code | 6 | [
{
"api_name": "PIL.Image.open",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "utils.androidImageSize.androidIslemListesi",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "o... |
28565087310 | import os
import os.path
import json
import subprocess
import time
from datetime import datetime
import pytz
import re
import warnings
# Read json data file into dictionary if it exists, return filled or empty dictionary
def read_existing(filepath):
dataObj = {}
if not os.path.isfile(filepath):
print("No existing... | uccross/uccross.github.io | explore/scripts/helpers.py | helpers.py | py | 7,152 | python | en | code | 15 | github-code | 6 | [
{
"api_name": "os.path.isfile",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "json.loads",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_num... |
6401773739 | '''
T3 COMP9331
YUAN GAO
z5239220
'''
import socket
import threading
import json
import sys
import os
import time
import FTclient
import FTserver
class Client:
"""
Client
"""
def __init__(self, addr, port_num):
"""
init:
:param addr: IP address
:param port_num: Po... | YuanG1944/COMP9331-Computer-Networks-and-Applications | 9331 Ass/Client.py | Client.py | py | 12,497 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "socket.socket",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_STREAM",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "json.loads"... |
43622219786 | import asyncio
from datetime import date, datetime
from fastapi import APIRouter, Query
from fastapi_cache.decorator import cache
from starlette import status
from app.exceptions import BookingLimitExceededException, DateBookingException
from app.hotels.dao import HotelDAO
from app.hotels.rooms.dao import RoomDAO
fro... | SeleznevIlya/FastAPI_booking | app/hotels/router.py | router.py | py | 1,826 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "app.hotels.dao.HotelDAO.find_all",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "app.hotels.dao.HotelDAO",
"line_number": 22,
"usage_type": "name"
},
{
"api_na... |
19932616378 | import errno
import getpass
import json
import logging
import subprocess
import tempfile
from .base import ClusterJob, JobStatus, Scheduler
logger = logging.getLogger(__name__)
def _parse_status(s):
if s in ["PEND", "WAIT"]:
return JobStatus.queued
elif s == "RUN":
return JobStatus.active
... | shandave/signac-flow | flow/scheduling/lsf.py | lsf.py | py | 4,269 | python | en | code | null | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "base.JobStatus.queued",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "base.JobStatus",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "base.JobS... |
29840819855 | import glob
from os.path import basename
import pandas as pd
from tensorflow import keras
from tools import keras_tools
# The different targest and their number of classes
output_classes = {'dominant_cover' : 6,
'crop_type' : 8,
'crop_status' : 7}
results_file = './data/v... | sdtaylor/PhenocamCNN2 | apply_keras_model.py | apply_keras_model.py | py | 2,156 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tensorflow.keras.models.load_model",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.models",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.keras",
"line_number": 16,
"usage_type": "name"
},
{
"... |
72112923069 | import numpy as np
import matplotlib.pyplot as plt
import torch
torch.manual_seed(0)
import torch.nn.functional as F
import torch.nn as nn
# import snntorch
import pandas as pd
import tqdm
import argparse
from . import step_func
class P_SNU(nn.Module):
def __init__(self,input_neuron,output_neuron,l_tau,soft = Fals... | GTAKAGI/PSNN | snn_model/p_snu_layer.py | p_snu_layer.py | py | 3,128 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.manual_seed",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "torch.nn.Module",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "torch.float",
"lin... |
18844484413 | import time
import datetime
import calendar
import xml.dom.minidom
import cherrypy
from openerp import rpc
from openerp import tools
from openerp.utils import TinyDict
from openerp.widgets import JSLink, CSSLink
from openerp.widgets.interface import TinyWidget
from base import ICalendar
from base import TinyCalenda... | xrg/openerp-client-web | openerp/widgets/tinycalendar/widgets.py | widgets.py | py | 12,930 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "openerp.widgets.interface.TinyWidget",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "utils.Month",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "openerp.widgets.interface.TinyWidget",
"line_number": 41,
"usage_type": "name"
},
{
... |
72530772029 | import numpy as np
from gym import spaces
def get_size_space(space):
"""
Get the total dimension of a space
Args:
space: Instance of gym.Spaces
"""
if isinstance(space, spaces.Tuple):
num = 1
for sub_space in space.spaces:
num *= sub_space.n
return num
... | emiliojorge/ATRLDM | Project/simulation.py | simulation.py | py | 3,122 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "gym.spaces.Tuple",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "gym.spaces",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "gym.spaces.Discrete",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "gym.spaces"... |
27674468700 | from yolact import Yolact
from utils.augmentations import FastBaseTransform
from utils import timer
from utils.functions import SavePath
from layers.output_utils import postprocess, undo_image_transformation
from data import cfg, set_cfg
import numpy as np
import torch
import torch.backends.cudnn as cudnn
import argp... | COMEDU-AI/Aloha | eval_image.py | eval_image.py | py | 6,481 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "transformer.TransformerNetwork",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "torch.load",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "style_utils.itot",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "style_util... |
42936140546 | import sqlite3
import xlrd
db = sqlite3.connect('clients.db')
cur = db.cursor()
try:
cur.execute("DROP TABLE client;")
except:
print("client table does not exist")
cur.execute("""CREATE TABLE client(
code INTEGER NOT NULL,
name TEXT NOT NULL,
primary key ... | Centari2013/PublicCoversheetGeneratorTest | cc_db_setup.py | cc_db_setup.py | py | 741 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sqlite3.connect",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "xlrd.open_workbook",
"line_number": 18,
"usage_type": "call"
}
] |
28757481423 | import csv
import os
import re
from concurrent import futures
from pathlib import Path
import boto3
import botocore
from tqdm import tqdm
from .. import utils
from .classes import load_openimages_classes
def download_and_convert_OpenImages(dir="datasets/OpenImages", reset=False):
"""Download and convert the Ope... | Motivation-and-Behaviour/SquareEyes | src/data/openimages.py | openimages.py | py | 5,211 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pathlib.Path",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "classes.load_openimages_classes",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path.isf... |
39747309704 | from pprint import pprint
from typing import Dict, Tuple, Union
import numpy as np
import tensorflow as tf
import tensorflow_addons as tfa
from .default import Default
class Simple(Default):
def __init__(
self,
constraints: Dict[str, Union[float, int]],
random_generator: Union[tf.random.Generato... | lucasdavid/tf-experiment | src/core/datasets/augment/simple.py | simple.py | py | 1,851 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "default.Default",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_num... |
36561841302 | """
handler.py
This file contains the class for the handler logic of the transaction processor
for the blocked family in Hyperledger Sawtooth.
"""
import logging
import cbor
from sawtooth_sdk.processor.exceptions import InvalidTransaction
from sawtooth_sdk.processor.handler import TransactionHandler
from addressing ... | caramelomartins/Blocked | processor/handler.py | handler.py | py | 4,933 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sawtooth_sdk.processor.handler.TransactionHandler",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "addressing.addresser.FAMILY_NAME",
"line_number": 22,
"usage_type": "... |
26318318535 | from sklearn.metrics import precision_score
from sklearn.metrics import recall_score
from sklearn.metrics import f1_score
from sklearn.metrics import confusion_matrix
import tensorflow as tf
import numpy as np
import random
import re
import collections
from nltk.tokenize import WordPunctTokenizer
tokenizer = WordPunct... | rahulpatchigolla/EventDetection | Other_Arguement/Argument.py | Argument.py | py | 7,095 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "nltk.tokenize.WordPunctTokenizer",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.env... |
14702793699 | import torch as tor
import torch.nn as nn
import matplotlib.pyplot as plt
import numpy as np
nperClust = 100
blur = 1.25
C = [5, 5]
A = [0, 5]
B = [2, 1]
clsA = [
A[0] + np.random.randn(nperClust) * blur,
A[1] + np.random.randn(nperClust) * blur,
]
clsB = [
B[0] + np.random.randn(nperClust) * blur,
B[1... | faheempa/Deep_learning | ANN/multiClassification.py | multiClassification.py | py | 2,870 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.random.randn",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.randn",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.random"... |
21514952391 | import os
from setuptools import setup
def read(fname):
return open(os.path.join(os.path.dirname(__file__), fname)).read()
setup(
name = "syllo",
version = "0.0.1",
author = "Kevin DeMarco",
author_email = "kevin.demarco@gmail.com",
description = ("Random python modules"),
license = "MIT",... | SyllogismRXS/python-syllo | setup.py | setup.py | py | 699 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.join",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "setuptools.setup",
"line_n... |
5068254777 | #崩壊型ギブスサンプリング
import numpy as np
import matplotlib.pyplot as plt
from scipy.stats import nbinom
import math
np.random.seed(1103)
def logsumexp(X):
# \log(\sum_{i=1}^{N}\exp(x_i))
max_x = np.max(X, axis=1).reshape(-1, 1)
return np.log(np.sum(np.exp(X - max_x), axis=1).reshape(-1, 1)) + max_x
def cmb(n, ... | imoken1122/Bayesian-inference | Bayesian_Poisson_Mixture_Model/collapsed_gibbs_sampling.py | collapsed_gibbs_sampling.py | py | 2,206 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.random.seed",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "numpy.max",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.log",
"line_num... |
42202612521 | import argparse
import pathlib
import shutil
import os
class VerifierTool:
def __init__(self, toolpath: str, file: pathlib.Path, args):
self.toolpath = toolpath
self.args = args
self.file = file
def call_str(self):
return "{0} {1} {2}".format(self.toolpath, ' '.join(self.args)... | ftsrg/gazer | scripts/testreduce.py | testreduce.py | py | 7,739 | python | en | code | 19 | github-code | 6 | [
{
"api_name": "pathlib.Path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"line_number": 73,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"line_number": 149,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"... |
11406825396 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Mar 31 17:42:28 2023
@author: matthewmcmurry
"""
import pandas as pd
import datetime
from datetime import datetime as dt
import numpy as np
path = '/path/to/folder'
df = pd.read_csv('/path/to/file.csv')
import datetime
import calendar
def generate_t... | mcm711/Reddit-NLP-Project | Scripts/Reddit CSV Segmentation.py | Reddit CSV Segmentation.py | py | 1,384 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "calendar.timegm",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.u... |
11566686718 | # Servidor
import socket
import pickle
from utils.tp5 import dataCallsSched, dataDirLayout, dataPidLayout
from utils.tp6 import tp6Data
from utils.tp7 import tp7Data
from utils.geral import dataGeral
from utils.rede1 import dataRede1
from utils.disco import dataDisco
from utils.memoria import dataMemoria
from utils.CP... | yurigaldino/SysInfo-INFNET | Servidor.py | Servidor.py | py | 3,164 | python | pt | code | 0 | github-code | 6 | [
{
"api_name": "socket.socket",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_STREAM",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "socket.geth... |
29186929162 | from skimage.transform import resize
from skimage.io import imread
import pickle
from tqdm import tqdm
import numpy as np
import torch
import os
from glob import glob
from ..utils import rotation_converter
class Dataset(torch.utils.data.Dataset):
def __init__(self, path, subject, image_size=512, white_bg=False,
... | yfeng95/DELTA | lib/dataset/body_video.py | body_video.py | py | 10,017 | python | en | code | 175 | github-code | 6 | [
{
"api_name": "torch.utils",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line... |
5033709797 | import requests
import json
from datetime import datetime
group_name = "Sarkozy"
now = datetime.now()
dt_formated = now.strftime("%Y-%m-%dT%H:%M:%S")
status = "open"
url = 'http://127.0.0.1:8000/event/list/'
data = {
"date_event": dt_formated,
"group_name": group_name,
"status": status}
headers = {
'... | davidbarat/P13 | raspberry/send_signal.py | send_signal.py | py | 499 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime.now",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "requests.post",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "json.dumps",
... |
71168447547 | # Documentation at https://github.com/thunlp/OpenPrompt
# Install the following required packages as needed
# import openprompt
import torch
# import numpy
# import scipy
# import scikit-learn
# import spacy
from openprompt.data_utils import InputExample
from openprompt.plms import load_plm
from openprompt.prompts im... | MaxColeman1415/NLP_fall2023 | main.py | main.py | py | 2,204 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "openprompt.data_utils.InputExample",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "openprompt.data_utils.InputExample",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "openprompt.plms.load_plm",
"line_number": 36,
"usage_type": "call"
... |
17417331812 | # /**
# * @author shaowinw & GPT
# * @email shaowinw@geophyai.com
# * @create date 2023-04-29 17:34:55
# * @modify date 2023-04-29 17:34:55
# * @desc [Autoencoder for denoising <supervised>]
# */
import torch
import torch.nn as nn
class ConvAutoencoder(nn.Module):
def __init__(self):
super(ConvAutoe... | GeophyAI/gptandme | autoencoder.py | autoencoder.py | py | 3,239 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"lin... |
72532284349 | # pylint: disable=no-value-for-parameter
# pylint: disable=redefined-outer-name
# pylint: disable=unused-argument
# pylint: disable=unused-variable
import json
import logging
import os
from copy import deepcopy
from pathlib import Path
from typing import Any, AsyncIterable, Iterable
from unittest.mock import AsyncMock... | ITISFoundation/osparc-simcore | services/director-v2/tests/conftest.py | conftest.py | py | 8,738 | python | en | code | 35 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 57,
"usage_type": "name"
},
{
"api_name": "pytest.fixture",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"lin... |
4701319944 | import sqlite3
conn = sqlite3.connect('test.db')
curs = conn.cursor()
#
curs.execute(
"""CREATE TABLE accounts(
id INTEGER PRIMARY KEY AUTOINCREMENT, username STRING UNIQUE NOT NULL, password STRING NOT NULL)"""
)
curs.close()
conn.close()
| tsubamon55/logintest | dbsetup.py | dbsetup.py | py | 250 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sqlite3.connect",
"line_number": 3,
"usage_type": "call"
}
] |
21308161376 | import os
import sys
import shutil
import tqdm
sys.path.append(os.path.join(os.path.dirname(__file__), "../.."))
from src.utils.preprocessing import preprocess_folder
from src.utils.augmentation import create_folds, create_folds_, augment_folds, randomcrop_folds, get_spectrum_for_cnn
from src.utils.modify_folders imp... | nkdnnlr/TEMDefectClassification | src/utils/run_preprocessing.py | run_preprocessing.py | py | 3,819 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
72143860348 |
# Recuerden que solo pedimos implementar bubble sort o insertion sort.
# si el ejercicio no acalara que pueden utilizar las funciones de sort propias de Python
# por default deben asumir que no pueden utilizarlas y deben implementar sus propias formas de sort.
from typing import List
def sort_list(a_list: List) -> ... | levensworth/udesa-pc-tutorial | 2022-a/2-sequences/solutions/warmup/ejercicio_8.py | ejercicio_8.py | py | 594 | python | es | code | 2 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 9,
"usage_type": "name"
}
] |
10174447744 | # import logging
import click
import twitter
from dynaconf import settings
from utils import write_tweets_to_csv
api = twitter.Api(
consumer_key=settings.CONSUMER_KEY,
consumer_secret=settings.CONSUMER_SECRET,
access_token_key=settings.ACCESS_TOKEN_KEY,
access_token_secret=settings.ACCESS_TOKEN_SECRE... | vbarboza/aybabtu | src/fetch.py | fetch.py | py | 1,573 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "twitter.Api",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "dynaconf.settings.CONSUMER_KEY",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "dynaconf.settings",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "dyna... |
18860309680 | # źródło danych [https://www.kaggle.com/c/titanic/](https://www.kaggle.com/c/titanic)
import streamlit as st
import pickle
from datetime import datetime
startTime = datetime.now()
# import znanych nam bibliotek
app_title = "Titanic App"
filename = "model.sv"
model = pickle.load(open(filename,'rb'))
# otwieramy wcześn... | mykyta-vyshniakov/pum-lab05 | app1.py | app1.py | py | 2,073 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime.now",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "pickle.load",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "streamlit.set_page_... |
10839671178 | # #animated_color_wheel_1.py
# # >>>>>>>>>>>>>>>>>>>>>>>
# from Tkinter import *
# root = Tk()
# root.title("Animated Color Wheel")
# cw = 300 # canvas width
# ch = 300 # canvas height
# canvas_1 = Canvas(root, width=cw, height=ch, background="b... | tlprotzman/dorm-automation | GraphicClient/colorwheel.py | colorwheel.py | py | 1,754 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.sqrt",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "numpy.arctan2",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 55,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number... |
8434639132 | import requests
import json
from langchain.llms import OpenAI
from langchain.chains.llm_symbolic_math.base import LLMSymbolicMathChain
from langchain import PromptTemplate
from fastapi import FastAPI
from langchain import LLMMathChain
from fastapi import FastAPI
app = FastAPI()
llm = OpenAI(temperature=0.2, openai_ap... | anash08/python_endpoint | test.py | test.py | py | 1,255 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "langchain.llms.OpenAI",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "langchain.LLMMathChain.from_llm",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": ... |
2018663598 | from numpy.core.multiarray import ndarray
from pymongo import MongoClient
import numpy as np
import matplotlib.pyplot as plt
import sklearn
import time
import datetime as dt
import pandas as pd
import seaborn as sns
pd.set_option('display.max_columns', None)
import warnings
warnings.filterwarnings("ignore")
# functio... | lcb42/Third_Year_Project | preprocessing.py | preprocessing.py | py | 22,864 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.set_option",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "warnings.filterwarnings",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pymongo.MongoClient",
"line_number": 151,
"usage_type": "call"
},
{
"api_name": "numpy.... |
24473478883 | import pygame
from pygame.mixer import Sound, get_init, pre_init
from ImpossibleArcade.Games.Pong.pong import Pong
from ImpossibleArcade.Games.note import Note
from ImpossibleArcade.Games.note_generator import Note_Generator
pong = Pong()
game_intensity = 1
note_gen = Note_Generator()
pre_init(44100, -16, 1, 1024)
p... | SamuelSchmidgall/ImpossibleArcade | ImpossibleArcade/Games/Pong/test_pong_music.py | test_pong_music.py | py | 1,828 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "ImpossibleArcade.Games.Pong.pong.Pong",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "ImpossibleArcade.Games.note_generator.Note_Generator",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pygame.mixer.pre_init",
"line_number": 12,
"usa... |
19157347549 | import requests
from src.user_class import *
from uuid import uuid1
class ExerciseClass:
def __init__(self, now, user_class):
self.user_profile = user_class
self.time = now
self.return_results = []
self.query_results = {}
self.user = self.user_profile.get_user_id()
... | bearhudson/Tracker1 | src/exercise_digester.py | exercise_digester.py | py | 3,722 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.post",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "requests.exceptions",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "uuid.uuid1",
"line_number": 61,
"usage_type": "call"
}
] |
16565064559 | from ansible.inventory.data import InventoryData
from ansible.inventory.manager import InventoryManager
from ansible.module_utils.six import string_types, iteritems
from web.models import HostModel, InvGroup
from ansible.inventory.host import Host
from ansible.inventory.group import Group
import json
from django.core.... | penghu2/web-ansible | web/service/ansible_service/OdinInventory.py | OdinInventory.py | py | 3,373 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "ansible.inventory.data.InventoryData",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "ansible.inventory.host.Host",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 24,
"usage_type": "call"
},
{
"api_n... |
24794231903 | from django import template
from django.db.models import Count
from django.urls import reverse_lazy
from django.shortcuts import redirect
from django.views.generic import TemplateView
from django.views.generic.edit import FormView, CreateView, DeleteView
from django.views.generic.list import ListView
from django... | EFZR/Django_Authentication_UserManagement | website/views.py | views.py | py | 6,645 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.contrib.auth.mixins.UserPassesTestMixin",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "django.views.generic.TemplateView",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "website.models.Post.objects.all",
"line_number": 24,
"us... |
360418410 | from django.http import JsonResponse
import re
class ApiOrder():
@staticmethod
def validate_order(order_dict, fields):
errors = []
fields_dict = {}
for field in fields:
if field.name not in order_dict and field.is_required:
errors.append(_no_field_error(fie... | kell18/metaorder | apps/api/models.py | models.py | py | 1,562 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "re.compile",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "django.http.JsonResponse",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "django.http.JsonResponse",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "django.h... |
19671059611 | import pandas as pd
import tensorflow as tf
import keras
import os
import numpy as np
from keras import models, layers
from keras import Input
from keras.models import Model, load_model
from keras.preprocessing.image import ImageDataGenerator
from keras import optimizers, initializers, regularizers, metrics
from keras... | gusals6804/plant_classification | resnet.py | resnet.py | py | 8,816 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.join",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 1... |
72702714747 | # https://zhuanlan.zhihu.com/p/642043155
import numpy as np
import torch
from torch import nn
def torch_compare_fc(infeature, outfeature, bias, inputs, params, bias_params):
network = nn.Linear(infeature, outfeature, bias).requires_grad_(True)
cnt = 0
for i in network.parameters():
if cnt==0:
... | ZouJiu1/numpy_transformer | net/fullconnect.py | fullconnect.py | py | 7,937 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "torch.nn.Linear",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "torch.from_numpy",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.from_numpy",
"line_... |
2916814250 | # -*- coding: utf-8 -*-
"""
Created on Thu Dec 19 22:34:39 2019
@author: thisisbex
"""
import plotly.express as px
from app import app, df, dbc, np, dcc, html, Input, Output
stats_facilities_list = df['facility'].drop_duplicates().tolist()
color_list = ['#56cc9d', '#6cc3d5', '#ffcf67', '#f3969a', '#78c2ad', '#ff7851... | becca-mayers/maternal-health-dashboard | pages/statistics.py | statistics.py | py | 8,888 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "app.df",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "app.df",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "app.html.Div",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "app.html",
"line_number": 16,
"usa... |
39998905342 | """
Example 2. Optimizing vertices.
"""
import argparse
import glob
import os
import subprocess
import chainer
import chainer.functions as cf
import numpy as np
import scipy.misc
import torch
import tqdm
from neurender.get_points_from_angles import get_points_from_angles_th
from neurender.renderer_th import Renderer
... | hassony2/neural_renderer_pytorch | examples/example_2_th.py | example_2_th.py | py | 4,234 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.nn",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "neurender.load_obj.load_obj",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "torch.Tensor",
... |
25182065234 | import numpy as np
from amical.tools import mas2rad
def shiftFourier(Utable, Vtable, wl, C_in, x0, y0):
"""Shift the image (apply a phasor in Fourier space."""
u = Utable / wl
v = Vtable / wl
C_out = C_in * np.exp(-2j * np.pi * (u * x0 + v * y0))
return C_out
def visUniformDisk(Utable, Vtable, ... | SAIL-Labs/AMICAL | amical/analysis/models.py | models.py | py | 7,002 | python | en | code | 9 | github-code | 6 | [
{
"api_name": "numpy.exp",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "amical.tools.mas2rad",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_n... |
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