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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
7751695337 | import torch
def total_loss(model, loss_fn, dataset):
loader = torch.utils.data.DataLoader(dataset, batch_size=64, shuffle=False, num_workers=2)
total_loss = 0
for inputs, labels in loader:
outputs = model(inputs.cuda())
total_loss += loss_fn(outputs, labels.cuda()).item()
return total... | sAbhay/DP-SGD | fine_tune/pytorch/src/training/image_classification/evaluation.py | evaluation.py | py | 681 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "torch.utils.data.DataLoader",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "torch.utils",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "torch.utils.data.DataLoader",
"line_number": 14,
"usage_type": "call"
},
{
"api_name":... |
26957337794 | import numpy as np
import networkx as nx
import torch
from scipy.linalg import fractional_matrix_power, inv
import scipy.sparse as sp
import random
import yaml
import logging
def load_best_configs(args, path):
with open(path, "r") as f:
configs = yaml.load(f, yaml.FullLoader)
if args.dataset not in co... | XinPeng97/TNNLS_DCLN | utils.py | utils.py | py | 5,658 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "yaml.load",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "yaml.FullLoader",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "argparse.Argum... |
29531344992 | from os import listdir
from os.path import isfile, join, splitext
import json
import gambar
import ocr
def main():
features = []
for type in ['number', 'upper', 'lower']:
bw = gambar.to_bw(gambar.to_gray(gambar.read('ocr_train_{}.PNG'.format(type))))
features.extend([array.tolist() for array i... | sumartoyo/IF5181-UAS | py/ocr_train.py | ocr_train.py | py | 863 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "gambar.to_bw",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "gambar.to_gray",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "gambar.read",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "ocr.get_features",
"line_... |
556066483 | import csv
from django.contrib.auth.models import Group, User
from django.core.management.base import BaseCommand
from dfirtrack_main.management.commands._check_file import check_file
class Command(BaseCommand):
'''add users from file to group.'''
# command help message
help = 'Add users from file to g... | dfirtrack/dfirtrack | dfirtrack_main/management/commands/add_users_to_group.py | add_users_to_group.py | py | 4,234 | python | en | code | 451 | github-code | 18 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "dfirtrack_main.management.commands._check_file.check_file",
"line_number": 85,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.Group.objects.get",
... |
29540719550 | import os
import shutil
import subprocess
from pathlib import Path
import pandas as pd
def run_all(dir):
for seed_folder in os.listdir(dir):
print("Handling ", seed_folder)
model_path, config_path = "", ""
files = os.listdir(os.path.join(dir, seed_folder))
for file in files:
... | ArabelaTso/DeepFD | CodeBook/Utils/FileHandler.py | FileHandler.py | py | 2,491 | python | en | code | 10 | github-code | 18 | [
{
"api_name": "os.listdir",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
... |
9272096785 | from flask import Flask, render_template, session, redirect, request, flash
from flask_app import app
from flask_app.models.user import User
from flask_app.models.task import Task
from flask_app.models.project import Project
# variablized route files
dashboard = 'projects.html'
project_detail_page = 'group_project... | fujohn/project_management | project_management_flask/flask_app/controllers/projects.py | projects.py | py | 3,370 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "flask.session",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "flask.flash",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "flask.redirect",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "flask.session",
"line_nu... |
9769195263 | import cloudscraper
from datetime import datetime
import time,random
from lxml import etree
from concurrent.futures import ThreadPoolExecutor,as_completed,wait, FIRST_COMPLETED, ALL_COMPLETED
import threading
import time
import sys
import os
import django
pwd = os.path.dirname(os.path.realpath(__file__))
# 获取项目名的目录(因... | iii706/examazon | spider/get_words_info.py | get_words_info.py | py | 6,435 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "os.path.dirname",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"... |
72150322921 | # -*- coding: utf-8 -*-
import pymysql, os
import shutil,os
db = pymysql.connect("localhost", "root", "123456", "testdb", charset="utf8")
cursor = db.cursor()
idalls = open("C:/Users/Administrator/Desktop/ids.txt", encoding='utf8').readlines()
def selectINFObyID(productID):
path = ''
number = 0
#sq... | lifesaver0129/Basic-DL | SKlearn/TFIDF.py | TFIDF.py | py | 1,090 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pymysql.connect",
"line_number": 6,
"usage_type": "call"
}
] |
31508263650 | # 2020-03-04 Lyon
# MNIST数据集:http://yann.lecun.com/exdb/mnist/
from PIL import Image,ImageOps
import struct
import tensorflow as tf
from tensorflow import keras
import matplotlib.pyplot as plt
import os
import random
import numpy as np
from network import LeNet
for gpu in tf.config.experimental.list_physical_devices(... | Flowingsun007/DeepLearningTutorial | ImageClassification/train_lenet.py | train_lenet.py | py | 6,555 | python | en | code | 122 | github-code | 18 | [
{
"api_name": "tensorflow.config.experimental.list_physical_devices",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "tensorflow.config",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.config.experimental.set_memory_growth",
"line_number":... |
41809524500 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
The Alkemy app model is designed to help keep track of the game data.
Default language
----------------
As Alkemy is a french edited game with most of its audience in France, the
default language is set to french and so are the labels.
update... | dad3zero/BiG-Alkemy-django | Alkemy/models.py | models.py | py | 5,917 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.db.models.Model",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 57,
"usage_type": "call"
},
{
"api_name"... |
14046072163 | import csv
import itertools as i
from pprint import pprint
import json
from io import StringIO
def parse():
with open("./citations.csv", 'rb') as f:
txt = f.read()
buf = StringIO(txt.decode('utf-8', errors='ignore'))
reader = csv.reader(buf)
next(reader)
for line in reader:... | kenpu/kenpu.ca | compile-pubs.py | compile-pubs.py | py | 1,452 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "io.StringIO",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "itertools.groupby",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "itertools.groupby",
"lin... |
18713601283 | import multiprocessing
import numpy as np
from multi_mesh.components.interpolator import inverse_transform
from multi_mesh.components.interpolator import get_coefficients
from pykdtree.kdtree import KDTree
from tqdm import tqdm
def map_to_ellipse(base_mesh, mesh):
"""Takes a base mesh with ellipticity topography ... | solvithrastar/MultiMesh | multi_mesh/components/v2_interpolation_tools.py | v2_interpolation_tools.py | py | 8,578 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "numpy.sqrt",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.copy",
"line_number": 25,... |
31328999192 | #!/usr/bin/env python
import fileinput
from collections import Counter
from collections import defaultdict
N = ['abcefg', 'cf', 'acdeg', 'acdfg', 'bcdf', 'abdfg', 'abdefg', 'acf', 'abcdefg', 'abcdfg']
# socres
W = list()
T = 0
def check_freq(input, wires):
# use letter frequence to find wires
freqs = def... | schans/aoc2021 | 08/displays.py | displays.py | py | 2,184 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "collections.defaultdict",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "fileinput.input",
"line_number": 89,
"usage_type": "call"
}
] |
21102972434 | import unittest
import numpy as np
import torch
from onnx import TensorProto, helper
from torch import nn
np.random.seed(0)
torch.manual_seed(0)
torch.set_printoptions(threshold=10000)
def create_neox_attention_graph(
batch_size,
seq_len,
hidden_size,
qkv_weight,
qkv_bias,
num_heads,
):
... | microsoft/onnxruntime | onnxruntime/test/python/transformers/test_parity_neox_attention.py | test_parity_neox_attention.py | py | 18,724 | python | en | code | 9,700 | github-code | 18 | [
{
"api_name": "numpy.random.seed",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.manual_seed",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.set_printopt... |
15317075548 | import sys
from collections import deque
from collections import defaultdict
n, m, v = map(int,sys.stdin.readline().split())
# 인접 행렬을 이용한 BFS
arr = [[0] * (n+1) for _ in range(n+1)]
# 인접 리스트를 이용한 BFS
al = defaultdict(list)
check = [False] * (n+1)
for _ in range(m):
i, j = map(int, sys.stdin.readline().split())
... | cldud400/python-coding-test | 문제풀이/1260-1.py | 1260-1.py | py | 1,200 | python | ko | code | 0 | github-code | 18 | [
{
"api_name": "sys.stdin.readline",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "collections.defaultdict",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.stdin.rea... |
9937726621 | import argparse
import time
import collections
import os
import sys
import torch
import torch.nn
from torch.autograd import Variable
import torch.nn as nn
import numpy
np = numpy
import matplotlib.pyplot as plt
from models import RNN, GRU
from models import make_model as TRANSFORMER
#################################... | swechhasingh/deep-learning-coursework | hw2_seq_language_models/generate.py | generate.py | py | 6,319 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.manual_seed",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "tor... |
15302517194 | #--------------------- Packages
import numpy as np
import pandas as pd
import psycopg2
import re
# --------------------- Pandas Dataframe
""" Script to load in the csv, preprocess the data and create a new feature called the total contents to be used as an input for text mining"""
## Read in CSV
DATABASE_URL = 'postg... | SulmanK/Video-Game-Recommendation-Engine | App_Deployment/model/preprocessing.py | preprocessing.py | py | 2,500 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "psycopg2.connect",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.read_sql",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 5... |
16922012865 | from collections import deque
import random
import torch
import torch.nn as nn
import numpy as np
from poke_env.player.player import Player, BattleOrder
from poke_env.player.battle_order import ForfeitBattleOrder
from utils import player_action_to_move
class ReplayMemory(object):
def __init__(self, capacity):
... | jchen20/OpenAI-Gym-Leaders | dqn_agent.py | dqn_agent.py | py | 5,037 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "collections.deque",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "random.sample",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.nn.Module",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"... |
449359470 | '''
from function.asset import misc
reload(misc)
'''
#... Reload module
from function.framework.reloadWrapper import reloadWrapper as reload
from function.pipeline import logger
reload(logger)
import maya.cmds as mc
#... Instance logger module
class MiscLogger(logger.MayaLogger):
LOGGER_NAME = "asset.misc"
def ... | narongtum/nmTools | riggerTools/python/function/asset/misc.py | misc.py | py | 578 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "function.framework.reloadWrapper.reloadWrapper",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "function.pipeline.logger",
"line_number": 10,
"usage_type": "argument"
},
{
"api_name": "function.pipeline.logger.MayaLogger",
"line_number": 15,
"usa... |
5243902579 | from django.http import Http404, HttpResponseRedirect
from django.utils.translation import gettext as _
from django.shortcuts import get_object_or_404
from channelguide.channels.models import Channel
from channelguide.flags.models import Flag
def flag(request, id):
if 'flag' not in request.REQUEST:
raise ... | kmshi/miroguide | channelguide/flags/views.py | views.py | py | 1,177 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "django.http.Http404",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.http.Http404",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "django.utils.translation.gettext",
"line_number": 16,
"usage_type": "call"
},
{
"api_name... |
72870269481 | from django.urls import path
from django.views.generic import ListView,UpdateView,DeleteView,DetailView,CreateView
from .views import BillAddView, BillCreateView, BillDeleteView, BillDetailView, BillListView, CustomerCreateView, CustomerDeleteView, CustomerDetailView, CustomerEditView,CustomerListView, DistributorCreat... | Harshelite2503/Coffee-Shop-Final | app/urls.py | urls.py | py | 2,982 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.urls.path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "views.HomePageView.as_view",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "views.HomePageView",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.ur... |
4261517177 | import tornado.ioloop
import tornado.web
from proportion_calculator import api_get_tags, api_get_merged_tags
class TagsHandler(tornado.web.RequestHandler):
def get(self, term):
self.content_type = 'application/json'
tags = api_get_tags(term)
self.write(tags)
class SuggestHandler(tornado.w... | flavioribeiro/video-tags-suggestion | server.py | server.py | py | 912 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "tornado.ioloop.web",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "tornado.ioloop",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "proportion_calculator.api_get_tags",
"line_number": 9,
"usage_type": "call"
},
{
"api_name":... |
25914734141 | import json
import numpy as np
import torch
import torch.nn as nn
import time
import math
import collections
use_frequency = True
def sigmoid(x):
return 1 / (1 + math.exp(-x))
#with open('shuffled_class_dict.json', 'r') as f1:
with open('culled_class_dict_bitcost_compar.json', 'r') as f1:
class_dict = json.loa... | stanleythepug/Predicting-Amuzgo-inflectional-tone-patterns | learn_weights_and_activationsGSCweight_whole_blend_embed_pns.py | learn_weights_and_activationsGSCweight_whole_blend_embed_pns.py | py | 11,506 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "math.exp",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.set_printoptions",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
... |
1074795229 | # Programmers 깊이/너비 우선 탐색(DFS/BFS) 3. 게임 맵 최단거리
# 시간복잡도: O(N)
from collections import deque
def solution(maps):
n, m = len(maps), len(maps[0])
if maps[n-2][-1] == 0 and maps[-1][m-2] == 0:
return -1
dx = [1, -1, 0, 0]
dy = [0, 0, 1, -1]
graph = [[-1] * m for _ in range(n)]
queue ... | JiSuMun/Algorithm-Study | W11/KimGyuri/1844_게임맵.py | 1844_게임맵.py | py | 1,294 | python | ko | code | 3 | github-code | 18 | [
{
"api_name": "collections.deque",
"line_number": 15,
"usage_type": "call"
}
] |
31607051215 | # -*- coding: utf-8 -*-
"""
@author: gy19cp
Student ID: 201376715
University of Leeds
___________________
Assessment 2
Version 3
___________________
agentframework2.py file is run before the model2.py file.
"""
# Libraries imported:
import matplotlib
import matplotlib.pyplot
import agen... | gy19cp/GEOG5990Assessment2 | Version_3/model2.py | model2.py | py | 3,510 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "csv.reader",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "csv.QUOTE_NONNUMERIC",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "matplot... |
17805347072 | from selenium import webdriver as opcoesSelenium
from selenium.webdriver.common.by import By
import pyautogui
import pandas as pd
navegador = opcoesSelenium.Chrome()
#Abrindo site
navegador.get('https://rpachallengeocr.azurewebsites.net/')
listaDataFrame = []
linha = 1
i = 1
while i < 4:
elemento... | babicosta/ExtraindoDadosSite | ExtraindoDadosTabelaSite.py | ExtraindoDadosTabelaSite.py | py | 1,226 | python | pt | code | 0 | github-code | 18 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.common.by.By.XPATH",
"line_number": 16,
"usage_type": "attribute"
},
{
... |
69845846761 | import io
import os
from time import strftime
import pandas as pd
from datetime import datetime
from django.conf import settings
from django.db.models import Count, DateField, DateTimeField
from django.db.models.functions import Cast, TruncDate
from django.shortcuts import render, redirect, get_object_or_404
from dja... | nkrings-nettersheim/turnverein | turnfest/views.py | views.py | py | 37,206 | python | de | code | 0 | github-code | 18 | [
{
"api_name": "django.shortcuts.render",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 58,
"usage_type": "call"
},
{
"api_name"... |
39656343594 | import cv2
img = cv2.imread("galaxy.jpg", 0)
#pass 1 to read in colour
#pass 0 to read in grayscale
#-1 to read in colour with alpha channel (transparency operations)
print(type(img)) #image stores as a numpy array - matrix of numbers
print(img)
print(img.shape) #resolution of the image
print(img.ndim) #number of dim... | rahulj1601/Python | Image Processing/Loading, Displaying, Reisizing, Writing Images.py | Loading, Displaying, Reisizing, Writing Images.py | py | 1,146 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cv2.imread",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "cv2.resize",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "cv2.resize",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 23,
... |
3968976991 | import pdb
import graphs
import torch
import utils
import os
from pathlib import Path
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import math
import functools
import nibabel as nib
from sklearn.decomposition import PCA
from sklearn.manifold import TSNE
import seaborn as sns
from scipy.stats i... | chrisjmyoon/loca | agents/eval_plot.py | eval_plot.py | py | 16,212 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.expanduser",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numb... |
22893151125 | from __future__ import print_function
import datetime
from airflow import DAG
from airflow.models import Variable
from airflow.operators.dummy_operator import DummyOperator
from airflow.operators.bash_operator import BashOperator
import pendulum
default_args = { ### Defau... | sdespotis/Master-Projects | Architectures/airflow/p2822111-t1 (1).py | p2822111-t1 (1).py | py | 2,936 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "datetime.datetime",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "airflow.DAG",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pendulum.datetime",
... |
12094565840 | from django import forms
from django.forms import extras
from django.core.exceptions import ValidationError
class StatsForm(forms.Form):
timeframe = forms.ChoiceField(
choices = [
["timeframe_day", "Heute"],
["timeframe_mon", "Diesen Monat"],
["timeframe_yrs", "Dieses Jahr"],
["timefra... | martinmeinke/rlog | charts/forms.py | forms.py | py | 1,545 | python | en | code | 6 | github-code | 18 | [
{
"api_name": "django.forms.Form",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.forms.ChoiceField",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.form... |
32937931303 | import asyncio
import unittest
import pymysql
from heralding.capabilities import mysql
from heralding.misc.common import cancel_all_pending_tasks
from heralding.reporting.reporting_relay import ReportingRelay
class MySQLTests(unittest.TestCase):
def setUp(self):
self.loop = asyncio.new_event_loop()
asynci... | johnnykv/heralding | heralding/tests/test_mysql.py | test_mysql.py | py | 1,888 | python | en | code | 358 | github-code | 18 | [
{
"api_name": "unittest.TestCase",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "asyncio.new_event_loop",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "asyncio.set_event_loop",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "... |
9977323253 | """
驱动对象获取方法
"""
import time
from appium import webdriver
def get_driver():
"""获取驱动对象方法"""
# 获取驱动对象
capabilities = {
"platformName": "Android", # 测试平台（Android、iOS）
"platformVersion": "5.1.1", # 测试系统版本
"deviceName": "f100", # 测试设备名称
# "platformVersion": "6... | bm12138/enfu | utils.py | utils.py | py | 1,141 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "appium.webdriver.Remote",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "appium.webdriver",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 36,
"usage_type": "call"
}
] |
27696164948 | #########################################################################
## Project: ICON Vote Stagnancy Investigation ##
## Date: July 2020 ##
## Author: Tono / Sung Wook Chung (Transcranial Solutions) ##
## transcranial.solution... | Transcranial-Solutions/ICONProject | data_analysis/04_vote_stagnancy/06_count_voting_activity.py | 06_count_voting_activity.py | py | 4,232 | python | en | code | 6 | github-code | 18 | [
{
"api_name": "pandas.set_option",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pandas.set_option",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "seaborn.set",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.sty... |
22803375134 | import os
from typing import List, Tuple
from PIL import Image
from torch.utils.data import Dataset, DataLoader
from torchvision import transforms as T
from torch import Tensor
from argparse import Namespace
from UPD_study.utilities.utils import GenericDataloader
from glob import glob
from multiprocessing import Pool, ... | iolag/UPD_study | UPD_study/models/CutPaste/datasets/RF.py | RF.py | py | 3,279 | python | en | code | 18 | github-code | 18 | [
{
"api_name": "argparse.Namespace",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "glob.glob",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number"... |
5727015822 | from setuptools import setup
import codecs
import os
def read_readme():
here = os.path.abspath(os.path.dirname(__file__))
with codecs.open(os.path.join(here, 'README.rst'), encoding='utf-8') as f:
long_description = f.read()
return long_description
setup(
# Basic information
name='bios... | WilliamTG/biosim-g07-engesaeth-grenersen | setup.py | setup.py | py | 920 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.abspath",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "codecs.open",
"line_num... |
12117901513 | #!/usr/bin/env python
"""
Isolated roll mechanism for moving robot's wrists
"""
import robot
import copy
import constants
RH_rolling = False
LH_rolling = False
def roll (roll_limb):
global LH_initial_angle
global RH_initial_angle
if roll_limb == 'left':
limb = robot.left_limb
mode = r... | Sean-Skilling/baxter-project | src/baxter_subscriber/robot_wrists.py | robot_wrists.py | py | 1,724 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "robot.left_limb",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "robot.LH_roll_mode",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "robot.right_limb",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "ro... |
4703382052 | import os
import argparse
import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
from torch.utils.data import DataLoader, Dataset
from sklearn.metrics import log_loss
from sklearn.model_selection import train_test_split
import pickle
class AudioDataset(Dataset):
def __init__(self, feat_... | lsy0882/Audio_classification_using_SoundNet | train_mlp.py | train_mlp.py | py | 7,960 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "torch.tensor",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "torch.float",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "torch.tensor",... |
39044855388 | #!/usr/bin/env python
from __future__ import print_function
import argparse
import torch
import torch.nn.functional as F
from torch.nn import Parameter
from nn.conv import EdgeSAGEConv
class EdgePropSAGETwoSoftmax(torch.jit.ScriptModule):
def __init__(self, in_dim, hidden, out_dim, edge_dim, task_type,
... | Angel-ML/PyTorch-On-Angel | python/graph/edgeprop.py | edgeprop.py | py | 5,298 | python | en | code | 162 | github-code | 18 | [
{
"api_name": "torch.jit",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.BCELoss",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "torch.tensor",
"lin... |
16435190116 | from argparse import ArgumentParser
from email.policy import default
from StorageHandler import StorageHandler
from DatasetHandler import DatasetHandler
import nltk
import os
def buildParser():
parser=ArgumentParser()
parser.add_argument("-fred-api-file",dest="fred_api_file", type=str, default="")
parser... | Frankgamer97/ValuesFromText | src/app.py | app.py | py | 3,773 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "StorageHandler.StorageHandler.load_api",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "StorageHandler.StorageHandler",
"line_number": 56,
"usage_type": "name"
... |
36603865923 | from django.shortcuts import render
from django.views.generic.base import View
import json
from .models import *
from Data2.models import *
from django.shortcuts import redirect
from Config.models import *
from django.urls import reverse
try:
from apps.Utils.script.new_step1 import *
except:
from apps.Utils.py... | Escaflowne1985/NovelAIUser | apps/Data/views.py | views.py | py | 10,575 | python | en | code | 43 | github-code | 18 | [
{
"api_name": "django.shortcuts.render",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "django.views.generic.base.View",
"line_number": 65,
"usage_type": "name"
},
{
"api_name": "django.shortcuts.render",
"line_number": 70,
"usage_type": "call"
},
{
"ap... |
35112672658 |
import pymysql, requests
from bs4 import BeautifulSoup
from Model import top250
class ImdbScrapper:
def __init__(self):
self.movies = [] # list obiektow klasy modelu -> top250
# self.obiekt -> zakres widoczności obejmuje całą klasę ImdbScrapper
def getTop250(self):
try:
... | paulamatosek/webscrapping | Main.py | Main.py | py | 4,025 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "Model.top250",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_... |
40568772590 | import cv2
import time
from cvzone.SelfiSegmentationModule import SelfiSegmentation
import cvzone
import pyfakewebcam
from os import listdir
from os.path import isfile, join
onlyfiles = [f for f in listdir("images/") if isfile(join("images/", f))]
# Capture the image and set the size
cap = cv2.VideoCapture(0)
cap.set(... | eren23/cvzone-bgremover | main.py | main.py | py | 1,838 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.listdir",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_numb... |
21947971276 | import logging
logging.getLogger("scapy.runtime").setLevel(logging.ERROR)
import time
import scapy.all as scapy
import argparse
import sys
import multiprocessing as mp
import subprocess
# import pyfiglet
#
# ascii_banner = pyfiglet.figlet_format("Network Hacker", font="banner3-D")
# print(ascii_banner)
def get_argu... | NomanNasirMinhas/Network-Controller | arp_spoofer.py | arp_spoofer.py | py | 6,991 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "logging.ERROR",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "scapy.all.... |
23981856063 | import datetime
import hashlib
import json
import random
import pytest, tarantool
from apiscoring import api
from apiscoring.store import Store
pytest.store = Store('api_store')
pytest.context = {}
pytest.headers = {}
class Mock:
"""Mocking class for get_interest internal call of store.get(cid)"""
@staticm... | jBuly4/OTUS_projects | month_2/04_Testing/api_testing/tests/integrated_tests/test_api.py | test_api.py | py | 8,911 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pytest.store",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "apiscoring.store.Store",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pytest.context",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "pytest.h... |
21714984926 | from django.conf.urls import url
from . import views
from django.contrib.sitemaps.views import sitemap
from bloggit.sitemaps import PostSiteMap
sitemaps = {
'posts' : PostSiteMap,
}
urlpatterns = [
url(r'^(?P<year>\d{4})/(?P<month>\d{2})/(?P<day>\d{2})/'\
r'(?P<post>[-\w]+)/$',
views.post_deta... | amanfojnr/codephil | bloggit/urls.py | urls.py | py | 550 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "bloggit.sitemaps.PostSiteMap",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.conf.urls.url",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": ... |
43155231799 | from sklearn.metrics import classification_report
from sklearn.metrics import confusion_matrix
from sklearn.model_selection import train_test_split
from sklearn.neighbors import KNeighborsClassifier
from sklearn.preprocessing import StandardScaler
from utils.transfer_data import get_2022_stats
from utils.transfer_data... | rogersheu/All-NBA-Predictions | models/kNNmodeling.py | kNNmodeling.py | py | 1,372 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.StandardScaler",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sklearn.neighbors.KNeighborsClassifier",
"line_number": 22,
... |
30077043677 | from ctypes import c_ushort
import requests
# import requests_cache
from bs4 import BeautifulSoup
from time import time
import json
import random
# requests_cache.install_cache(expire_after=18000, allowable_methods=('GET', 'POST'))
# Reading company urls
with open('random_5000_urls.jsonl','r') as f:
lines = f.r... | hiteshshekhat/indeed-scraper | indeed_company_scraper.py | indeed_company_scraper.py | py | 3,001 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "json.loads",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_... |
36103162938 | # -*- coding: utf-8 -*-
"""
Created on Wed Feb 8 15:32:58 2017
@author: luzhangqin
"""
import matplotlib.pyplot as plt
from matplotlib.font_manager import FontProperties
#linux shell: fc-list :lang=zh
font = FontProperties(fname=r'/usr/share/fonts/truetype/arphic/ukai.ttc', size = 10)
import numpy as np
plt.figure()... | TonyLDS/sklearn | 4-1.py | 4-1.py | py | 459 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "matplotlib.font_manager.FontProperties",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 13,
"usage_type": "name"
},
{
... |
10002380678 | from datetime import datetime
import json
import uuid
from sqlalchemy.ext.declarative import DeclarativeMeta
from flask.json import JSONEncoder
#ALLOWED_EXTENSIONS = {'pdf'}
def allowed_file(filename, allowed_ext={'pdf'}):
return '.' in filename and \
filename.rsplit('.', 1)[1].lower() in allowed_ext
... | apj-lml/201-File-System | website/myhelper.py | myhelper.py | py | 2,550 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "uuid.uuid4",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "json.loads",
... |
27666661111 | from selenium import webdriver
import subprocess
import time,csv
from datetime import datetime
import json
import shutil,os
import requests
def read_config_file(path):
f = open(path)
data_dic = json.load(f)
return data_dic
data = read_config_file('/root/dynamic_analysis_framework/config_e... | raja08blr/Transaction_protection_Automation | common_functions_library.py | common_functions_library.py | py | 3,494 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "json.load",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 36,... |
4086427692 | """
camera.py
---------------
Functions related to data acquisition with cameras.
"""
import numpy as np
import math
import os
import pandas as pd
import pybullet as p
def convert_depth_frame_to_pointcloud(depth_image, serialnumber, camera_intrinsics):
"""
Convert the depthmap to a 3D point cloud
Paramet... | susu1210/3d_object_reconstruction | utils/camera.py | camera.py | py | 3,337 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "numpy.linspace",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "numpy.meshgrid",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "numpy.multiply",
"li... |
534290936 | '''
Different manufactured testprolbmes problems solving :math:`-\Delta u_a = f` on the unit interval
'''
from fenics import *
import sympy as sym
def power_function(alpha = 0.51, plot_sol = False):
'''
Babushka example: :math:`u=x^{\\alpha}` with :math:`0.5 < \\alpha < 1.5`
Args:
alpha (float... | IngeborgGjerde/GFEM | src/testproblems.py | testproblems.py | py | 5,167 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sympy.symbols",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "sympy.printing.ccode",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "sympy.printing",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "sympy.symbols"... |
16730455445 | # -*- coding: utf-8 -*-
"""
P1: Test a Perceptual Phenomenon
Stroop data analysis and visualization in python
04/20/16
"""
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from scipy import stats
##########################################################################
## 1. Read stroop dataset ... | super-penguin/Data_Projects | Test_Perceptual_Phenomenon/stroop.py | stroop.py | py | 5,308 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "scipy.stats.ttest_rel",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "scipy.stats",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.f... |
32660105416 | #%%
import torch as th
import cv2
from utils import alive_conv, alive_pool, Buffer
from models import Cell
import numpy as np
hidden_size = 13
color_size = 3
state_size = hidden_size + color_size
downsampled_size = 64
device = th.device('cpu')
img_shape = (1, 3, 64, 64)
alive_thres = 0.1
#%%
buffer = Buffer(256)
cell... | tensorway/Neural-cellular-automata-and-Bitcoin | basic_eval.py | basic_eval.py | py | 1,569 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torch.device",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "utils.Buffer",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "models.Cell",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.load",
"line_number":... |
9475458023 | from typing import List
from datetime import datetime, timedelta
from databasepackage.data_base import DataBase
import random
import numpy as np
from copy import deepcopy
START_TIME = datetime.now()
class InnerParticle:
def __init__(self, index_array: List[int]):
self.current_position = index_array
... | nadiczka/trip-around-krakow | algorithm/is_correct.py | is_correct.py | py | 7,461 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "datetime.datetime.now",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "random.shuffle",
... |
34571939529 | from flask import Flask, request, jsonify
import vonage
from web3 import Web3
app = Flask(__name__)
# Initialize Vonage
client = vonage.Client(key="b78ec810", secret="SkV66w8nnV1Wsi0v")
sms = vonage.Sms(client)
# Initialize Web3
w3 = Web3(Web3.HTTPProvider('https://sepolia.infura.io/v3/a99fc8833eb8497e84637ab7db564a... | dimoz29/sms_test_contract | app.py | app.py | py | 894 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "vonage.Client",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "vonage.Sms",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "web3.Web3",
"line_number": 12,
... |
20994374269 | # TODO:
# - Allow windows to be read from a file.
import copy
import cProfile
import gc
import logging
import pickle
import pstats
import time
import warnings
from concurrent.futures import ALL_COMPLETED, ThreadPoolExecutor
from concurrent.futures import wait as cf_wait
from functools import partial
from itertools imp... | sukhdeep2/skylens_lite | skylens/window_utils.py | window_utils.py | py | 31,850 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "jax.numpy.int32",
"line_number": 93,
"usage_type": "call"
},
{
"api_name": "jax.numpy",
"line_number": 93,
"usage_type": "name"
},
{
"api_name": "jax.numpy.int32",
"line_number": 95,
"usage_type": "call"
},
{
"api_name": "jax.numpy",
"line_numbe... |
33842169428 | from invoke import task
from dotenv import load_dotenv
from os import system
load_dotenv()
@task
def registry_login(c):
c.run("docker login -u $GITHUB_USER -p $GITHUB_TOKEN ghcr.io")
# run for the first time only
@task
def install_vagrant_plugins(c):
c.run("vagrant plugin install vagrant-env")
@task
def vag... | OleksandrTimoshenko/link_shortener | tasks.py | tasks.py | py | 1,318 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "invoke.task",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "invoke.task",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "os.system",
"line_number... |
8868932959 | # Import Splinter and BeautifulSoup
from splinter import Browser
from bs4 import BeautifulSoup
import pandas as pd
import datetime as dt
def scrape_all():
# Initiate headless driver for deployment
browser = Browser("chrome", executable_path="chromedriver", headless=True)
news_title, news_paragraph = mars_news... | menlodoug/Mission-to-Mars | scraping.py | scraping.py | py | 5,145 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "splinter.Browser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "bs4.Beau... |
70152544041 | import tkinter as tk
from tkinter import filedialog, messagebox
from cryptography.fernet import Fernet
import os
class FaceLock:
def __init__(self, root):
self.root = root
self.root.title("File Locking System")
self.root.geometry("800x600")
self.keys = {} # Dictionary to ... | RohitR-J/Nikhil_Project | t1.py | t1.py | py | 3,463 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.exists",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "cryptography.fernet.Fernet.generate_key",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "c... |
28409733348 |
u'\n:\u521b\u5efa\u65f6\u95f4: 2020/5/18 23:57\n:\u4f5c\u8005: \u82cd\u4e4b\u5e7b\u7075\n:\u6211\u7684\u4e3b\u9875: https://cpcgskill.com\n:QQ: 2921251087\n:\u7231\u53d1\u7535: https://afdian.net/@Phantom_of_the_Cang\n:aboutcg: https://www.aboutcg.org/teacher/54335\n:bilibili: https://space.bilibili.com/351598127\n'
i... | cpcgskill/Maya_tools | build/_44a6428a69494567aed2941f480fe31f/CPMel/ui/__init__.py | __init__.py | py | 8,149 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "api.OpenMayaUI.MQtUtil.mainWindow",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "api.OpenMayaUI.MQtUtil",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "api.OpenMayaUI",
"line_number": 22,
"usage_type": "name"
},
{
"api_... |
40648985874 | import bpy
import numpy
from bpy.props import (StringProperty,
IntProperty,
EnumProperty
)
from bpy.types import (
Operator
)
import imageProcessing
from voxelize import pointsToVoxels
from marching imp... | Beskamir/BlenderDepthMaps | src/depthMapsUI_Operator_Generate.py | depthMapsUI_Operator_Generate.py | py | 2,936 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "bpy.types.Operator",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "bpy.props.StringProperty",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "bpy.props.StringProperty",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "... |
17648315629 | import matplotlib.pyplot as plt
import numpy as np
x = 0.1
N=np.linspace(1,100,100)
y = N*x*np.exp(-2*x*N)
AT=x*N
plt.plot(N, y)
#plt.legend(loc="upper right")
plt.title("Kihasználtság időszeletelt ALOHA esetén")
plt.ylim(ymin=0)
plt.xlim(xmin=1)
plt.xlim(xmax=100)
plt.xticks([10, 20, 30, 40, 50, 60, 70 ,80, 90, 100])... | Jelenszky/Zarovizsga | aloha_N.py | aloha_N.py | py | 382 | python | hu | code | 0 | github-code | 18 | [
{
"api_name": "numpy.linspace",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
... |
73310066919 | from faker import Faker
from sqlmodel import SQLModel, Session, select
from model import Tile, Team
from db import engine
SQLModel.metadata.create_all(engine)
tiles = [
{"col": 0, "row": 0, "description": "See No Evil/Hear No Evil"},
{"col": 1, "row": 0, "description": "Telephone Booth"},
{"col": 2, "row"... | calvin-laurenson/ucdhunt | backend/api/bootstrap_db.py | bootstrap_db.py | py | 2,370 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sqlmodel.SQLModel.metadata.create_all",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "db.engine",
"line_number": 6,
"usage_type": "argument"
},
{
"api_name": "sqlmodel.SQLModel.metadata",
"line_number": 6,
"usage_type": "attribute"
},
{
"... |
19000476407 | from datetime import timedelta
import pandas as pd
import pyspark.pandas as ps
from pyspark.testing.pandasutils import PandasOnSparkTestCase, TestUtils
class TimedeltaIndexTest(PandasOnSparkTestCase, TestUtils):
@property
def pidx(self):
return pd.TimedeltaIndex(
[
timede... | jackkolokasis/tera_applications | spark/spark-3.3.0/python/pyspark/pandas/tests/indexes/test_timedelta.py | test_timedelta.py | py | 1,999 | python | en | code | 5 | github-code | 18 | [
{
"api_name": "pyspark.testing.pandasutils.PandasOnSparkTestCase",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "pyspark.testing.pandasutils.TestUtils",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "pandas.TimedeltaIndex",
"line_number": 12,
"usage_t... |
18838097251 | import base64
import serial
import time
from enum import Enum
from typing import List, Tuple
WRITE_COMMAND_SIZE = 19
READ_COMMAND_SIZE = 10
# Packet head, tail, and command id
HEAD = b'\xaa'
TAIL = b'\xab'
SEND_COMMAND_BYTE = b'\xb4'
# Data constants (will be decoded by bytes later)
EMPTY_DATA_BYTE = b'00'
ALL_DEVI... | davidshere/airquality | airquality-reading/sds011.py | sds011.py | py | 7,425 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "enum.Enum",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "enum.Enum",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "enum.Enum",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "enum.Enum",
"line_number": 35,
... |
24040619212 | #!/usr/bin/python3
import os
import sys
import argparse
import subprocess
import shutil
import glob
import os.path
def convert(f_input, f_output):
print('#### CONVERT START ####')
loglevel = f'-loglevel {args.loglevel}'
if args.codec == 'libx264':
hwaccel = ''
hwoptions = ''
option... | hasi6363/utils | m2ts_encoder.py | m2ts_encoder.py | py | 5,329 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "subprocess.run",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 55... |
17864228482 | #!/usr/bin/env python3
'''
PCA is data dependent, no use to calculate an index! You won't be able to easily recreate it
SELF: how to?
'''
# VERY IMPORTANT what have I done with NVC measurement? Should be included in the PCA
import subprocess
import pandas as pd
import numpy as np
import argparse
import os
import sea... | aperz/vacou | vacou.py | vacou.py | py | 15,900 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "rpy2.robjects.pandas2ri.activate",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "rpy2.robjects.pandas2ri",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "pandas.set_option",
"line_number": 40,
"usage_type": "call"
},
{
"api_na... |
3625254264 | import numpy as np
import torch
import random
import numpy as np
from .visualize import StatsLogger
from .quantize_model import quantize
def init_seeds(n):
old_seed = (torch.seed(), np.random.get_state())
if isinstance(n,tuple):
torch.manual_seed(n[0])
random.seed(n[0])
np.random.set_st... | thomasreolon/svs_detection | utils/__init__.py | __init__.py | py | 882 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torch.seed",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.random.get_state",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "torch.manual_seed",
... |
1843933572 | from odoo import fields, models, _
from odoo.exceptions import UserError
from xlwt import *
from io import BytesIO
import base64
from datetime import date
from dateutil.relativedelta import relativedelta
class sale_order_subscription_report(models.TransientModel):
_name = 'sale.order.subscription.report'
_des... | albi-m/demo14 | processcontrol_auditoria/models/sale_order_subscription_report.py | sale_order_subscription_report.py | py | 11,390 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "odoo.models.TransientModel",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "odoo.models",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "datetime.date.today",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datet... |
21580363870 | import json
import os
import sys
from collections import defaultdict
import numpy as np
import torch
from PIL import Image
from torch.utils.data import Dataset
import cv2
import random
from typing import List, Union
from string import punctuation
sys.path.append(f"{os.environ['HOME']}/AlexaArena/")
from modeling.vl_m... | amazon-science/alexa-arena | modeling/vl_model/data_generators/vl_data_generator.py | vl_data_generator.py | py | 20,753 | python | en | code | 75 | github-code | 18 | [
{
"api_name": "sys.path.append",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "modeling.vl_model.data_... |
26547785122 | import functools
import hashlib # For hashing
import json
import pickle # binary JSON alternative
# External packages
# Python equivalent to axios in the front end app
import requests
# from utility is a folder. with the empty file __init__.py all the other
# files are bundled.
# so we can import 'from folderName.f... | chrisAlide3/pythonBlockchain | blockchain.py | blockchain.py | py | 19,017 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "block.Block",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 103,
"usage_type": "call"
},
{
"api_name": "transaction.Transaction",
"line_number": 108,
"usage_type": "call"
},
{
"api_name": "block.Block",
"l... |
74338283239 | """Example authentication backend used by oauth login flow"""
from typing import Any
from django.contrib.auth.backends import BaseBackend
from django.contrib.auth.base_user import AbstractBaseUser # pylint: disable=unused-import
from django.contrib.auth import get_user_model
from django.http.request import HttpRequest... | PHACDataHub/django-phac_aspc-helpers | phac_aspc/django/helpers/auth/backend.py | backend.py | py | 1,441 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.contrib.auth.backends.BaseBackend",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.http.request.HttpRequest",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 18,
"usage_type": "name"
},
{
... |
35894569488 | import datetime
from PacketIdenficication import PacketIdentification
from PacketSequenceControl import PacketSequenceControl
from PacketPrimaryHeader import PacketPrimaryHeader
from PacketSecondaryHeader import PacketSecondaryHeader
from PacketDataField import PacketDataField
from SpacePacket import SpacePacket
class... | TUDSaT/Comms_Software | Space_Packet_Protocol/PacketAssembly.py | PacketAssembly.py | py | 2,223 | python | en | code | 6 | github-code | 18 | [
{
"api_name": "PacketIdenficication.PacketIdentification",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "PacketSequenceControl.PacketSequenceControl",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "PacketPrimaryHeader.PacketPrimaryHeader",
"line_number"... |
42605116208 | from random import shuffle
import itertools
from .parametermap import ParameterMap
def combinations(parameters, N):
""" Returns all combinations of parameters with *N* subdivisions. *N* may
be of any form accepted by `core.getdividions` """
values = getdivisions(parameters, N)
return itertools.product(... | njwilson23/psm | psm/core.py | core.py | py | 2,345 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "itertools.product",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "parametermap.ParameterMap",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "parametermap.ParameterMap",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "... |
23795866773 | from decimal import Decimal
from typing import Any, Dict
import pytest
from pydantic import ValidationError
from bo4e import Energieherkunft, Energiemix, Erzeugungsart, Oekolabel, Oekozertifikat, Sparte
from tests.serialization_helper import assert_serialization_roundtrip
example_energiemix = Energiemix(
energie... | bo4e/BO4E-python | tests/test_energiemix.py | test_energiemix.py | py | 3,849 | python | de | code | 10 | github-code | 18 | [
{
"api_name": "bo4e.Energiemix",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "bo4e.Sparte.STROM",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "bo4e.Sparte",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "bo4e.Energieherkun... |
28296686006 | import json
import os
import tempfile
from json import JSONDecodeError
from jet_bridge_base.exceptions.request_error import RequestError
from jet_bridge_base.exceptions.validation_error import ValidationError
from jet_bridge_base.utils.crypt import get_sha256_hash
from six import string_types
from jet_bridge_base imp... | jet-admin/jet-bridge | packages/jet_bridge_base/jet_bridge_base/request.py | request.py | py | 6,384 | python | en | code | 1,486 | github-code | 18 | [
{
"api_name": "six.string_types",
"line_number": 63,
"usage_type": "argument"
},
{
"api_name": "json.loads",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "jet_bridge_base.exceptions.request_error.RequestError",
"line_number": 68,
"usage_type": "call"
},
{
... |
21119373264 | """
Given an array in which all numbers except two are repeated once.
(i.e. we have 2n+2 numbers and n numbers are occurring twice and remaining two have occurred once).
Find those two numbers in the most efficient way.
"""
from typing import Tuple
def non_repeating(arr: list) -> Tuple[int, int]:
xor: int = 0
... | rrwt/daily-coding-challenge | gfg/sorting_searching/find_two_non_repeating_elements.py | find_two_non_repeating_elements.py | py | 608 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "typing.Tuple",
"line_number": 9,
"usage_type": "name"
}
] |
17845845114 | import pickle
from google.auth.transport.requests import Request
def google_api_credentials(token_file):
_credentials = None
try:
with open(token_file, 'rb') as token:
_credentials = pickle.load(token)
if _credentials and _credentials.expired and _credentials.refresh_token:
... | rhz007/google_apis | credentials.py | credentials.py | py | 710 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pickle.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "google.auth.transport.requests.Request",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pickle.dump",
"line_number": 15,
"usage_type": "call"
}
] |
37052840369 | """
Server to debug python mbe growth recipes. A virtual emulation of the MBE.
"""
import SocketServer, gzip, copy
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import cPickle as pickle
import ntpath
from SocketServer import TCPServer
import matplotlib
matplotlib.rc('legend', fontsize=10, ha... | Martin09/MBEToolbox | Virtual_MBE/virtual_mbe_server_host.py | virtual_mbe_server_host.py | py | 18,137 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "matplotlib.rc",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "SocketServer.TCPServer",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "SocketServer.TCPServer.__init__",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "... |
13700745934 | # -*- coding: utf-8 -*-
# @Time : 2018/11/22 15:00
import pymongo
import pymssql
from requests import codes
import requests
import hashlib
from multiprocessing.pool import Pool
from lxml import etree
server="192.168.8.212"
user="sa"
password="123456"
con=pymssql.connect(server,user,password,"Search")
cursor=con.c... | gmgmt/Spider | 爬虫/day4/NASA论文.py | NASA论文.py | py | 5,275 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "pymssql.connect",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pymongo.MongoClient",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "requests.codes.ok",
... |
10984069274 | from django.shortcuts import render
import pandas as pd
from plotly.offline import plot
import plotly.graph_objects as go
import plotly.express as px
# py.init_notebook_mode(connected=False)
# Create your views here.
def barras(request):
# Carregando os dados
df = pd.read_csv('media/data.csv')
# C... | thiagovl/grafico-plotly-python-django | core/views.py | views.py | py | 2,634 | python | pt | code | 0 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "plotly.graph_objects.Scatter",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "plotly.graph_objects",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "plo... |
74793155238 | from typing import Dict, List, Optional, Text
from django.db.models.query import QuerySet
from django.utils.translation import ugettext as _
from zerver.lib.cache import generic_bulk_cached_fetch, user_profile_cache_key_id, \
user_profile_by_id_cache_key
from zerver.lib.request import JsonableError
from zerver.mo... | ty-xy/zg13 | zerver/lib/users.py | users.py | py | 5,733 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.Text",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "zerver.models.UserProfile.MAX_NAME_LENGTH",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "zerver.models.UserProfile",
"line_number": 16,
"usage_type": "name"
},
{
... |
39723068951 | import pandas as pd
import json
# 定义一个函数将文本从GBK编码转换为UTF-8编码
def gbk2utf8(line):
try:
line = line.decode("gbk").encode("utf-8")
except:
return line
else:
return line
# 读取CSV文件，指定编码为GBK
data = pd.read_csv(r'price2016.csv', encoding="gbk")
# 创建一个空字典用于存储数据
dictionary = dict()
# 将列名... | MayBeTheWorld/python-work | secondCourseWord/0208.py | 0208.py | py | 802 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 31,
"usage_type": "call"
}
] |
33697404482 | import spotipy
import json
import spotipy.util as util
scope = 'user-library-read'
username = 'Victor Valero'
token = util.prompt_for_user_token(username, scope)
search_str = 'The Limboos'
if token:
sp = spotipy.Spotify(auth=token)
result = sp.search(search_str, type='artist')
print (json.dumps(... | vitycola/SpotifyD3Graphs | artistas.py | artistas.py | py | 389 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "spotipy.util.prompt_for_user_token",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "spotipy.util",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "spotipy.Spotify",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "json.du... |
9993888350 | #!/usr/bin/env python
def hello():
print("hello,world")
hello()
import pymongo
uri = "mongodb://sa:123@127.0.0.1:27017/?authSource=admin&authMechanism=SCRAM-SHA-256"
myclient = pymongo.MongoClient(uri)
dblist = myclient.list_database_names()
print([r for r in dblist])
#dblist = myclient.database_names()
if "h... | James12wl/myPythonproject | com/wang/day01.py | day01.py | py | 1,311 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 9,
"usage_type": "call"
}
] |
74005479719 | import requests
def get_quote() -> tuple:
response = requests.get(url = "https://api.quotable.io/random")
if response.status_code != 200:
return "Everything will be ok", "Terry"
data = response.json()
content = data["content"]
author = data["author"]
return content, author
def ... | terryyyz/terryyyz | python.py | python.py | py | 542 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 4,
"usage_type": "call"
}
] |
38707903222 | import unittest
from hw6 import people_doc, find_shelf, list_documents, add_documents, delete_doc
from parameterized import parameterized
class TestFunction(unittest.TestCase):
@parameterized.expand(
[
('10006', 'Владелец документа Аристарх Павлов'),
('2207 876234', 'Владе... | YanaPolyahova/hw_6_ap | test_unittest_hw6.py | test_unittest_hw6.py | py | 2,102 | python | ru | code | 0 | github-code | 18 | [
{
"api_name": "unittest.TestCase",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "hw6.people_doc",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "parameterized.parameterized.expand",
"line_number": 7,
"usage_type": "call"
},
{
"api_name":... |
34387758008 | from chatterbot import ChatBot
from chatterbot.trainers import ListTrainer
import pysrt
import glob
"""
Module for training and executing a chat bot using subtitles files
"""
bot = ChatBot("SubtitlesBot")
def train(subtitles_path):
""" Train a bot using a set of subtitles files """
dialogs = []
print("... | notsag-dev/subtitles-chatbot | chatbot.py | chatbot.py | py | 1,322 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "chatterbot.ChatBot",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pysrt.open",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "chatterbot.trainers.ListTrain... |
31722107720 | import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
from keras_preprocessing.image import ImageDataGenerator
from emnist import list_datasets
from emnist import extract_training_samples
from emnist import extract_test_samples
import keras
from keras.layers import Dense, Dropout, Convolution2D, MaxPooling2D
from keras.l... | miGa77/AMK-DataAnalysis | App/Tuner.py | Tuner.py | py | 6,348 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.environ",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "emnist.list_datasets",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "emnist.extract_training_samples",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "e... |
21728330092 | import numpy as np
import sklearn
import sklearn.datasets
class ToyDataset(object):
def __init__(self, dim, data_file=None, static_data=None):
if data_file is not None:
self.static_data = np.load(data_file)
elif static_data is not None:
self.static_data = static_data
... | GFNOrg/EB_GFN | synthetic/synthetic_data.py | synthetic_data.py | py | 5,888 | python | en | code | 64 | github-code | 18 | [
{
"api_name": "numpy.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.random.shuffle",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.RandomS... |
17635946928 | import json
import logging
import os
import time
import requests
logger = logging.getLogger()
logger.setLevel(logging.DEBUG)
def lambda_handler(event, context):
(cold, hot) = parse_input(event)
logger.info("Processing meter values: cold %d, hot %d", cold, hot)
r = submit_meters(cold, hot)
return {
... | ppalex7/IoT | send-meter-data-to-mosvodokanal/lambda_function.py | lambda_function.py | py | 4,162 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "json.dumps",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_... |
72782821160 | import requests
import json
import logging
from b2c.wxapp.models.wx_app_review_state_type import WXAppReviewStateType
logger = logging.getLogger('django')
wx_api_base_url = 'https://api.weixin.qq.com/'
# 小程序基本信息
base_info_url = wx_api_base_url + 'cgi-bin/account/getaccountbasicinfo?access_token='
# 设置域名
modify_doma... | PyZyyong/users | wxapp/wechat_api.py | wechat_api.py | py | 10,078 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_nu... |
27337168391 | # Author: Teon Brooks <teon.brooks@gmail.com>
#
# License: BSD (3-clause)
import os.path as op
import numpy as np
from numpy.testing import (assert_array_almost_equal, assert_array_equal,
assert_equal)
import pytest
from scipy import linalg
import scipy.io
import mne
from mne import pick_t... | soheilbr82/BluegrassWorkingMemory | Python_Engine/Lib/site-packages/mne/io/kit/tests/test_kit.py | test_kit.py | py | 10,843 | python | en | code | 5 | github-code | 18 | [
{
"api_name": "os.path.join",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "os.path.dirname",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "mne.io.kit.__file__",
"line_... |
3272479591 | import torch
from bench.core.executer import Executer
def boxes_for_nms(boxes, idxs, class_agnostic=False):
"""Boxes for NMS.
Arguments:
boxes (torch.Tensor): boxes in shape (N, 4).
idxs (torch.Tensor): each index value correspond to a bbox cluster,
and NMS will not be applied between elements... | DeepLink-org/DLOP-Bench | bench/samples/long_tail/boxes_for_nms/torch_impl.py | torch_impl.py | py | 1,011 | python | en | code | 38 | github-code | 18 | [
{
"api_name": "torch.from_numpy",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "torch.from_numpy",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "bench.core.executer.Executer",
"line_number": 33,
"usage_type": "call"
}
] |
26516610785 | from typing import Sequence
from acme import types
from acme.adders.reverb import sequence as adders
from acme.adders.reverb import structured
from acme.adders.reverb import test_cases
from acme.adders.reverb import test_utils
import dm_env
import numpy as np
from reverb import structured_writer as sw
import tree
fro... | deepmind/acme | acme/adders/reverb/structured_test.py | structured_test.py | py | 3,810 | python | en | code | 3,100 | github-code | 18 | [
{
"api_name": "acme.adders.reverb.test_utils.AdderTestMixin",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "acme.adders.reverb.test_utils",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "absl.testing.parameterized.TestCase",
"line_number": 17,
... |
40885786399 | # Serving the Models as a Docker Image
# 1. mlflow run .
# 2. mlflow models build-docker -m "./mlruns/0/<run-id>/artifacts/model" -n "tf_serve"
# 3. docker run -p 5001:8080 "tf_serve"
# working REST api command
# curl -X POST -H "Content-Type:application/json; format=pandas-split" --data '{"columns":["SepalLength", "S... | hcw-00/MLOps_examples | mlflow/tf2_docker_serve/requests_prediction.py | requests_prediction.py | py | 1,131 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.post",
"line_number": 17,
"usage_type": "call"
}
] |
36556828586 | import json
from bs4 import BeautifulSoup
from flask import Flask, render_template, request, url_for, redirect, flash, make_response, jsonify
import os
import glob
app = Flask(__name__)
app.debug = True
@app.route('/totgetdata', methods=['GET','POST'])
def get_data():
urll = request.args.get('url').strip()
cwd = o... | saumyabhadani95/trickortruth | backend/src/read_json.py | read_json.py | py | 2,732 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.request.args.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.request.args",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "flask.reque... |
5118935777 | import psycopg2
import time
import os
import sys
import stomp
from urllib import request, parse, error
import json
from listeners import ServiceRegistrationListener, MessageListener
time.sleep(2)
def start_registry_listener(hosts):
print("starting registry listener")
queue = stomp.Connection(host_and_port... | StefanEvanghelides/eai2019 | MessageBus/main.py | main.py | py | 1,773 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "time.sleep",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "stomp.Connection",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "listeners.ServiceRegistrationListener",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sto... |
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