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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
21289218390 | import uuid
import thredis
import thredis.util
import pyramid.renderers
from pyramid.config import Configurator
from pyramid.request import Request
from thredis import UnifiedSession
from thredis.util import JsonEncoder
import oest.model
from oest.service.modelview import ModelViews
__VERSION__ = "0.1"
__DESCRIP... | adoc/estimate_srv | oest/service/__init__.py | __init__.py | py | 2,037 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pyramid.config.Configurator",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "oest.service.modelview.ModelViews",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "oest.model.model",
"line_number": 30,
"usage_type": "attribute"
},
{
... |
70873049149 | import re
import xlrd
from Student import Student
def read(path):
studentList = []
excel_workbook = xlrd.open_workbook(path)
excel_worksheet = excel_workbook.sheet_by_index(0)
i = 0
j = 0
while True:
try:
if len(excel_worksheet.cell_value(i, 2)) == 9:
resul... | enginbektas/Zoom-Polls-Analyser-py- | StudentReader.py | StudentReader.py | py | 1,294 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "xlrd.open_workbook",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 19,
"... |
29806855872 | from http import HTTPStatus
from fastapi import Depends
from MenuApp.src.dependencies import get_menu_service
from MenuApp.src.routers.custom_APIRouter import APIRouter
from MenuApp.src.schemas import menu_schemas
from MenuApp.src.services.menu_service import MenuService
router = APIRouter(tags=["Menu"], prefix="/ap... | Aliakseeva/MenuApp | MenuApp/src/routers/menu_router.py | menu_router.py | py | 2,356 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "MenuApp.src.routers.custom_APIRouter.APIRouter",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "MenuApp.src.services.menu_service.MenuService",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "fastapi.Depends",
"line_number": 19,
"usage_... |
39359086221 |
import time
import selenium
from selenium import webdriver
from selenium.webdriver.chrome.service import Service
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.remote.remote_connection import RemoteConnection
#driver=webdriver.Chrome('G:\driver\chrom... | Paviterence/Selenium-Python-BasicCodes | selenium_login_practice.py | selenium_login_practice.py | py | 3,342 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "selenium.webd... |
15667228686 | import ast, astor
loop_counter = "AZEUS_LOOP_COUNTER"
call_counter = "AZEUS_CALL_COUNTER"
class PythonCounter(ast.NodeTransformer):
def __init__(self):
self.counters = ast.parse("{} = 0; {} = 0".format(loop_counter, call_counter))
self.global_ = ast.parse("global {}, {}".format(loop_counter, call_... | Chrishaneus/rabbitmq-server-client-compiler | server/compiler/parser/py_injector.py | py_injector.py | py | 1,447 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "ast.NodeTransformer",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "ast.parse",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "ast.parse",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "ast.parse",
"line_numbe... |
27511909268 | import leveldb
import itertools
import logging
import pickle
logger = logging.getLogger(__name__)
SEPARATOR = '::'
DEFAULT_PREFIX = 'spo'
def _computer_ordered_values_set(ordered_values, pos=0):
"""
Computes triples with all levels of precision possible.
Returns a list of triples in DEFAULT_PREFIX order... | PirosB3/Hexagon | hexagon/core.py | core.py | py | 3,807 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pickle.dumps",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "itertools.permutations",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "pickle.loads",
... |
70513190909 | from rest_framework import serializers
from rest_framework.reverse import reverse
from mentorq_api.models import Ticket, Feedback
# returns the relevant fields from a Ticket object
class TicketSerializer(serializers.HyperlinkedModelSerializer):
feedback = serializers.SerializerMethodField()
def get_feedback... | HackRU/mentorq-backend | mentorq_api/serializers.py | serializers.py | py | 2,060 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rest_framework.serializers.HyperlinkedModelSerializer",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "rest_framework.serializers.SerializerMethodField",
"line_... |
72064216507 | # -*- coding: utf-8 -*-
# @Time : 2022/7/27 9:24
# @Author : 4v1d
# @File : 中国招标网.py
# @Software: PyCharm
import requests
from lxml import html
etree = html.etree
def main():
url = 'http://zb.yfb.qianlima.com/yfbsemsite/mesinfo/zbpglist'
headers = {
'User-Agent': 'Mozilla/5.0 (Maci... | daweiTech/Spider | 爬虫/02-Requests请求/中国招标网.py | 中国招标网.py | py | 1,405 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "lxml.html.etree",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "lxml.html",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_number": 23,
"usage_type": "call"
}
] |
72416211069 | import cv2
import mediapipe as mp
from socket import *
import numpy as np
import time
clientSock = socket(AF_INET, SOCK_STREAM)
clientSock.connect(('172.20.10.3', 7777))
rps_gesture = {0:'mute', 5:'unmute', 9:'capture', 10:'fix'}
#Define Drawing and Hands
mp_drawing = mp.solutions.drawing_utils
mp_hands = mp.solutio... | Arc1el/DeepLearning_Jetson_AI | client.py | client.py | py | 5,088 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "mediapipe.solutions",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "mediapipe.solutions",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "numpy.genfromtxt",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "nu... |
30763745401 | """
This is where the implementation of the plugin code goes.
The CostCalculator-class is imported from both run_plugin.py and run_debug.py
"""
import sys
import logging
from webgme_bindings import PluginBase
# Setup a logger
logger = logging.getLogger('CostCalculator')
logger.setLevel(logging.INFO)
handler... | SKShah36/carproject | src/plugins/CostCalculator/CostCalculator/__init__.py | __init__.py | py | 6,798 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "logging.StreamHandler",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sys.stdout"... |
72777730107 | import os
import shutil
from pytest import approx
import pandas as pd
from integrators import improved_euler_integrator
from surface import calculate_exact_values_at_surface, \
calculate_surface_values, save_surface_values_to_csv, \
surface_values_single_method
def test_save_s... | evgenyneu/ASP3162 | 10_integration_python/src/surface_test.py | surface_test.py | py | 5,617 | python | en | code | 1 | 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.exists",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number":... |
12432729646 | """
^ importar en color amarillo:
# indica módulos/funciones definidos en Django
~ importar en color verde:
indica 'clases definidas en Django' q 'heredan de otras clases' """
from django.http import HttpRequest, HttpResponse, JsonResponse
"""
! parte d submódulo "http" d Django "manejar solicitudes/respuestas HTTP en... | accesoriotoluca/dj_ds | reports/views.py | views.py | py | 28,625 | python | es | code | 0 | github-code | 6 | [
{
"api_name": "django.contrib.auth.mixins.LoginRequiredMixin",
"line_number": 101,
"usage_type": "name"
},
{
"api_name": "django.views.generic.ListView",
"line_number": 101,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.mixins.LoginRequiredMixin",
"line_number": ... |
39748797214 | # import requests
from redis import Redis
from rq import Queue
import logging
import json
from pprint import pprint
from GTT.Recognise.Document import Document
from GTT.Service import Service
logger = logging.getLogger(__name__)
class RecogniseService(Service):
fileDumpLocation = '/tmp/recognitionDump.json'
... | sieniven/biobert-service | GTT/Recognise/Service.py | Service.py | py | 1,545 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "GTT.Service.Service",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "GTT.Service.Service.__init__",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "GT... |
72056702588 | from typing import List
import pay_record
def import_pay_records(file: str) -> str:
payRecords = []
with open(file, "r") as data:
# Skip the first line
data.readline()
# Read subsequent lines
lines = data.readlines()
hours_dict = {}
rates_dict = {}
... | stiwari977/PythonProject | csv_importer.py | csv_importer.py | py | 1,706 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 57,
"usage_type": "name"
},
{
"api_name": "pay_record.ResidentPayRecord",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "pay_record.WorkingHolidayPayRecord",
"line_number": 61,
"usage_type": "call"
}
] |
19648538858 | import _init_paths
from net import Network
from config import cfg, update_config
from dataset import *
import numpy as np
import torch
import os
from torch.utils.data import DataLoader
from tqdm import tqdm
import argparse
from core.evaluate import FusionMatrix, AverageMeterList, accuracy_shot
from utils.utils import c... | pengzhiliang/LDA | main/valid.py | valid.py | py | 6,393 | python | en | code | 11 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "argparse.REMAINDER",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "tqdm.tqdm",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "core.evalua... |
14595352336 | from PIL import Image
import os
import tensorflow as tf
import cv2
import numpy as np
from scipy.misc import imread
def batch_norm(input):
return tf.contrib.layers.batch_norm(inputs=input, epsilon=1e-5, decay=0.9, updates_collections=None, scale=True,
data_format='NCHW')
de... | suker80/Collaborative-Stroke-Refinement | ops.py | ops.py | py | 5,710 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tensorflow.contrib.layers.batch_norm",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "tensorflow.contrib",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.layers.conv2d",
"line_number": 13,
"usage_type": "call"
},
{
... |
11657463526 | '''
This Script is intended to test YOLOv8 formatting
'''
# Imports
import pandas as pd
import argparse
import re
import cv2 as cv
import os
from os import path
import shutil
from math import floor
# Defaults for use as a script
dim_dir = "C:\\Users\\dylan\\Documents\\Data\\YOLO_MOTS\\train\\images"
d... | dylanjaybaxter/bdd100k_ws | test_yolo_format.py | test_yolo_format.py | py | 2,477 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"lin... |
1317550115 | from influxdb import InfluxDBClient
import RPi.GPIO as GPIO
import paho.mqtt.client as mqtt
import datetime
broker_address="192.168.1.97" #broker address (your pis ip address)
#setup board
GPIO.setmode(GPIO.BCM)
#setup pin as output
GPIO.setup(16, GPIO.OUT)
client = mqtt.Client() #create new client instance
cli... | ElickC/iot | HW5/broker.py | broker.py | py | 1,568 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "RPi.GPIO.setmode",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "RPi.GPIO",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "RPi.GPIO.BCM",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "RPi.GPIO.setup",
"lin... |
40920351502 | import os
from random import randint
import uuid
import torch.nn as nn
from quinine import QuinineArgumentParser
from tqdm import tqdm
import torch
import yaml
from transformers import get_constant_schedule_with_warmup
from eval import get_run_metrics
from samplers import get_data_sampler
from schema import schema
from... | lucarossi9/in-context-learning | src/train_tensor_pca.py | train_tensor_pca.py | py | 6,164 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.backends",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "random.randint",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "torch.optim.Adam",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "torch.optim",
... |
18538881577 | from django.test import TestCase
from books.models import Book
class TestModels(TestCase):
def setUp(self):
self.book1 = Book.objects.create(
name = "A Feast for Crows",
isbn = "978-0553801507",
authors = ["George R. R. Martin"],
country = "United Status",
... | ashkaraliae/BooksAPI | mstakx/books/tests/test_models.py | test_models.py | py | 573 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.test.TestCase",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "books.models.Book.objects.create",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "books.models.Book.objects",
"line_number": 7,
"usage_type": "attribute"
},
{
... |
4014256241 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import sys
import numpy as np
import tensorflow as tf
import json
from collections import defaultdict, namedtuple
from .data import *
from .model import *
from ... | svetlov/ink-research | ink/train.py | train.py | py | 7,824 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.namedtuple",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "node.Unite... |
23269685162 | import multiprocessing as mp
import glob
from torch.utils.data import Dataset
from string import digits
import numpy as np
import torch
import logging
from sklearn.metrics import accuracy_score,confusion_matrix
def doMultiProcessing(inFunc,inDir,split,arguments,noJobs=16):
processes=[]
count=0
inFiles=... | pandanster/impactProject | nn_models/utility.py | utility.py | py | 4,409 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "glob.glob",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Process",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "string.digits",
"line_number": 29,
"usage_type": "argument"
},
{
"api_name": "glob.glob",
"... |
4322317657 | from sklearn.ensemble import RandomForestRegressor
from sklearn.metrics import r2_score
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
# Importing the dataset
dataset = pd.read_csv('data/Position_Salaries.csv')
X = dataset.iloc[:, 1:-1].values
y = dataset.iloc[:, -1].values
# Training the Rand... | Lin-Wei-Han/Python-Machine-Learning | 01_Regression/6_random_forest_regression.py | 6_random_forest_regression.py | py | 1,198 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sklearn.ensemble.RandomForestRegressor",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.r2_score",
"line_number": 23,
"usage_type": "call"
},
{
"ap... |
28436833535 | from numpy import random
import utils
from distributions.BetaDistribution import BetaDistribution
from utils import show_all
import copy
def inference(beta, data):
betas = []
size = len(data)
window = int(size / 4)
batches = [batch for batch in range(0, size, window)]
for i in range(1, len(batches... | matsarou/thesis | conjugates/beta_binomial.py | beta_binomial.py | py | 1,395 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "copy.copy",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "distributions.BetaDistribution.BetaDistribution",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "utils.data_serial",
"line_number": 33,
"usage_type": "call"
},
{
"api_n... |
12195358660 | # Question
# Design and implement a data structure for Least Recently Used (LRU) cache.
# It should support the following operations: get and put.
# ----------------------------------------------------------------
# Solution
# Vedio: https://www.youtube.com/watch?v=7v_mUfpg46E&feature=youtu.be
# Double Linked List + ha... | ClaytonStudent/leetcode- | LeetCodePython/146_Last_Recently_Used.py | 146_Last_Recently_Used.py | py | 2,220 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.OrderedDict",
"line_number": 64,
"usage_type": "call"
}
] |
23400074732 | import datetime
from nextcord import Embed, Interaction, Color, Guild, TextInputStyle
from nextcord.ui import Modal, TextInput
from nextcord.ext import commands
from config.config_handler import ConfigHandler
from components.buttons.nuke_buttons import NukeButtons
from utils.server_utils import ServerUtils
... | Worcer/ASF | amanecer sin fronteras/src/components/modals/nuke_model.py | nuke_model.py | py | 4,190 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "nextcord.ui.Modal",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "config.config_handler.ConfigHandler",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "utils.server_utils",
"line_number": 14,
"usage_type": "name"
},
{
"api_name... |
38381825354 | # 在一个数组 nums 中除一个数字只出现一次之外，
# 其他数字都出现了三次。
# 请找出那个只出现一次的数字。
# 示例 1：
# 输入：nums = [3,4,3,3]
# 输出：4
# 示例 2：
# 输入：nums = [9,1,7,9,7,9,7]
# 输出：1
# 限制：
# 1 <= nums.length <= 10000
# 1 <= nums[i] < 2^31
from typing import List
# LeetCode 137
class Solution:
def singleNumber(self, nums: List[int]) -> int:
bits ... | 1lch2/PythonExercise | leetcode/bit_operation/JZ56-2.py | JZ56-2.py | py | 1,087 | python | zh | code | 1 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 21,
"usage_type": "name"
}
] |
18599772535 | import sys
from PySide2.QtCore import QSize, Qt
from PySide2.QtWidgets import QApplication, QMainWindow, QPushButton
class MainWindow(QMainWindow):
def __init__(self):
super().__init__()
self.setWindowTitle("My first app")
button = QPushButton("clique aqui!")
self.setFixedSize(QS... | pytax/Interface-com-Pyside2 | aula 02.py | aula 02.py | py | 567 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "PySide2.QtWidgets.QMainWindow",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "PySide2.QtWidgets.QPushButton",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "PySide2.QtCore.QSize",
"line_number": 12,
"usage_type": "call"
},
{
"a... |
18340160588 | import json
def _(key, values = {}):
file = open('locales/en.json', 'r')
data = json.loads(file.read())
file.close()
try:
value = data[key]
for key in values:
value = value.replace(':' + key, str(values[key]))
return value
except:
return ''; | usmannasution80/file-links-manager | _.py | _.py | py | 274 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.loads",
"line_number": 5,
"usage_type": "call"
}
] |
44546630095 | import os, time
from modelscope.pipelines import pipeline
from modelscope.utils.constant import Tasks
def audio_to_text():
inference_pipeline = pipeline(
task=Tasks.auto_speech_recognition,
model='damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch',
output_dir... | dalong0514/audio-to-text | audio_to_text.py | audio_to_text.py | py | 759 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "modelscope.pipelines.pipeline",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "modelscope.utils.constant.Tasks.auto_speech_recognition",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "modelscope.utils.constant.Tasks",
"line_number": 8,
... |
15966200664 | # encoding:utf-8
import requests
import base64
import sys
import os
import re
sys.path.append("")
from macro.modules.tech.function import window_capture, low_image
from macro.config import config
import pytesseract
from PIL import Image
access_token = '24.5df8df24610f4804746a83a527347581.2592000.1622115551.282335-24... | Mister-TT/Macro | macro/modules/tech/image_word.py | image_word.py | py | 2,498 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "macro.modules.tech.function.window_capture",
"line_number": 25,
"usage_type": "call"
},
{
"api_name":... |
41961330283 | # -*- coding: utf-8 -*-
from Sentence import *
from nltk.corpus import wordnet as wn
def get_raw_count(words,stop_words):
"""
This function takes in the essay and the stop words and returns the total number of
spelling mistakes
:param words:
:param stop_words:
@retur... | kashyap9395/automated_essay_grader | src/Spelling.py | Spelling.py | py | 884 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "nltk.corpus.wordnet.synsets",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.wordnet",
"line_number": 20,
"usage_type": "name"
}
] |
34990752175 | # coding: utf-8
from flask import json, request, redirect, jsonify
from david.core.db import db, func, sql
from david.ext.babel import gettext, lazy_gettext as _
from david.lib.store import redis_store as rs
from flask.ext.admin import AdminIndexView, expose, BaseView
from flask.ext.admin.contrib.sqla import ModelView... | ktmud/david | david/ext/admin/model.py | model.py | py | 5,833 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "wtforms.fields.TextField",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "wtforms.fields",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "flask.ext.security.current_user.has_role",
"line_number": 55,
"usage_type": "call"
},
{
"... |
17435887429 | from typing import List
import pytest
import pdb
"""
Try find recurrence
Exhaustive search
- Timed out!
- I'm probably searching too much, we must find out when we can skip a test.
- search N^2 pairwise
"""
class Solution:
def largestDivisibleSubset(self, nums: List[int]) -> List[int]:
L = len(n... | naubull2/codingtests | leetcode/solved/368_Largest_Divisible_Subset/solution.py | solution.py | py | 1,411 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 36,
"usage_type": "attribute"
}
] |
40129929924 | #!/usr/bin/env python3
import sys
sys.setrecursionlimit(10**6)
INF = 10 ** 9 + 1 # sys.maxsize # float("inf")
MOD = 10 ** 9 + 7
def debug(*x):
print(*x, file=sys.stderr)
def solve(N, XS):
cash = 1000
stock = 0
for i in range(N - 1):
price = XS[i]
if cash >= price:
if XS[... | nishio/atcoder | m-solutions2020/d.py | d.py | py | 1,558 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "sys.setrecursionlimit",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.stderr",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "doctest.testmod",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "doctest.run_docst... |
30354658161 | import os
import os.path
from apptools.persistence import state_pickler
from tvtk.api import tvtk
from tvtk import messenger
from tvtk.tvtk_base import vtk_color_trait
from tvtk.common import configure_input
from traits.api import HasPrivateTraits, HasTraits, Any, Int, \
Property, Instance, Event, Range, Bool, T... | enthought/mayavi | tvtk/pyface/tvtk_scene.py | tvtk_scene.py | py | 34,373 | python | en | code | 1,177 | github-code | 6 | [
{
"api_name": "traits.api.HasPrivateTraits",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "traits.api.Bool",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "traits.api.Bool",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "traits.ap... |
32515387273 | # -*- coding: utf-8 -*-
"""
@author: mthh
"""
import rtree
import numpy as np
from math import ceil
def idx_generator_func(bounds):
for i, bound in enumerate(bounds):
yield (i, bound, i)
def make_index(bounds):
return rtree.index.Index([z for z in idx_generator_func(bounds)],
... | riatelab/magrit | magrit_app/helpers/grid_helpers.py | grid_helpers.py | py | 3,525 | python | en | code | 102 | github-code | 6 | [
{
"api_name": "rtree.index.Index",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "rtree.index",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "numpy.NaN",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "math.ceil",
"li... |
11932521336 | """Adress Urls for users app"""
from django.urls import path, include
from . import views
app_name = 'users'
urlpatterns = [
#Default adress URL
path('', include('django.contrib.auth.urls')),
# page for register
path('register/', views.register, name='register'),
] | konradpaszku/BLOG | users/urls.py | urls.py | py | 284 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.urls.include",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 12,
"usage_type": "call"
}
] |
34607112444 | import os
import math
import json
import pandas as pd
import numpy as np
def readpro(parent_path):
# every_pro_path = os.path.join(parent_path, r'dataset\DIPHumanOntology.xls')
every_pro_path = os.path.join(parent_path, r'dataset\secondExperiments\COVID_Node2Vec.csv')
# pro_file = pd.read_excel(every_pro_p... | LittleBird120/DiseaseGenePredicition | DiseaseGenePredicition/20210315covering-clustering-algorithm - COVID/evaluate_algorithm/evaluate_core.py | evaluate_core.py | py | 5,468 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.join",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_numbe... |
2558417521 | #!/usr/bin/python
# -*- coding:utf-8 -*-
import os
import os.path
import urllib
import globalvar as gl
import pid_random as pr
import xlwt
# -- img标签数组保存函数 ---
def store_scroll_img_list(brand_name, product_id, img_list):
for img in img_list:
img_url = img.get('src')
img_name = pr.get_random_str(... | tianyu4552/mm | file.py | file.py | py | 3,148 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pid_random.get_random_str",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pid_random.get_random_str",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "globalvar.root_dir",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_n... |
36735190323 | # Generic imports
import numpy as np
import h5py
import re
import importlib
import h5py
import shutil
import toml
from os import listdir, mkdir, rename
from os.path import join, split, exists, dirname
from scipy.io import savemat
# Custom libraries
spec = importlib.util.find_spec('aniposelib')
if spec is None:
pr... | davidlee04/MNLE-sleap-anipose | pose_3d.py | pose_3d.py | py | 16,677 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "importlib.util.find_spec",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "importlib.util",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_number": 95,
"usage_type": "call"
},
{
"api_name": "os.path.e... |
12350700780 | import numpy as np
from copy import deepcopy
from math import sqrt, inf
import torch
from tqdm import tqdm
import random
class Node(object):
def __init__(self, env, policy, c=1):
self.env = env
self.N = 0
self.N_a_list = [0 for _ in range(6)]
# add some random noise
self.q_... | EnJiang/colorFlood | alpha_go_utils/mcts.py | mcts.py | py | 6,551 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "random.random",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_numbe... |
26117222280 | # This is a sample Python script.
from scrapy.selector import Selector
import time
import json as json
import undetected_chromedriver as uc
from datetime import datetime
import pandas as pd
def get_imoveis_terracap():
_date = datetime.today().strftime('%Y-%m-%d')
link = 'https://comprasonline.terracap.df.gov.b... | netoluizbezerra/TerracapScraper | main.py | main.py | py | 3,164 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime.today",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "undetected_chromedriver.ChromeOptions",
"line_number": 12,
"usage_type": "call"
},
{
"a... |
35613675414 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# vim: ai ts=4 sts=4 et sw=4
"""
Project: ir-fhir
App: apps.api.tests
FILE: test_fhir_dt
Created: 7/24/16 12:45 PM
Created by: Mark Scirmshire @ekivemark, Medyear
Test FHIR data type construction
"""
# import json
from datetime import datetime
# from pytz import timezo... | shihuaxing/hhs_oauth_server | apps/fhir/build_fhir/tests/test_fhir_dt.py | test_fhir_dt.py | py | 7,508 | python | en | code | null | github-code | 6 | [
{
"api_name": "unittest.TestCase",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "apps.fhir.build_fhir.utils.utils_fhir_dt.dt_instant",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "django.utils.timezone.get_current_timezone",
"line_number": 53,
"us... |
32303665451 | import matplotlib.pyplot as plt
from data_analyzer.get_tags_keys import tags_keys
import numpy as np
import operator
import copy
import cycler
import matplotlib as mpl
def plot(results, ignore_background=True,
bar_width=0.3, set_fonts=14, fig_width=10,
fig_height=7, plot_weight=False):
any_resu... | NareshGuru77/SemanticSegmentation | Dataset/data_augmentation/data_analyzer/plot_results.py | plot_results.py | py | 5,016 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "copy.deepcopy",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "data_analyzer.get_tags_keys.tags_keys.data_key",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "data_analyzer.get_tags_keys.tags_keys",
"line_number": 14,
"usage_type"... |
8763367892 | import pygame
import os
from Colour import *
# Sprite size: width = 48 / height = 64
# Todo: Add more comments
class Player(pygame.sprite.Sprite):
name = ""
life = 100
speed = 4
score = 0
# Set speed vector
change_x = 0
change_y = 0
# Silent
silent = False;
# This is a... | HackTechDev/KomandoPython | package/Player.py | Player.py | py | 5,051 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pygame.sprite",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "pygame.sprite.Sprite.__init__",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "pygame.sprite",
"line_number": 42,
"usage_type": "attribute"
},
{
"api_name": "py... |
10238894762 | from time import sleep
from csv import reader, DictWriter
from json import dumps, loads, dump, load
from requests import ConnectionError, HTTPError
from requests import get, post
from datetime import datetime
from requests.exceptions import ConnectionError, HTTPError, Timeout, RequestException
from PIL import Image, ... | ductandev/sqlite3 | KiosProject-main/3_Test_system/.ipynb_checkpoints/uploadcode-checkpoint.py | uploadcode-checkpoint.py | py | 8,449 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "configupload.json_data3",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path",
"... |
43502264610 | #!/usr/bin/python3
"""Export data int the CSV format"""
import csv
import requests
from sys import argv
if __name__ == "__main__":
data = []
arg = int(argv[1])
users_url = "https://jsonplaceholder.typicode.com/users"
todos_url = "https://jsonplaceholder.typicode.com/todos"
parse_user = requests.... | borrell-44/holbertonschool-system_engineering-devops | 0x15-api/1-export_to_CSV.py | 1-export_to_CSV.py | py | 803 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 21... |
71682118267 | import math
import random
from typing import Any
import pygame
from pygame.sprite import AbstractGroup
pygame.init()
class Tiros(pygame.sprite.Sprite):
def __init__(self, x, y, sobe):
pygame.sprite.Sprite.__init__(self)
self.image = pygame.transform.scale(pygame.image.load("./assets/tiro.png"), (2... | cl3ber/Space-Pirates | spacePirate.py | spacePirate.py | py | 6,921 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pygame.init",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pygame.sprite",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pygame.sprite.Sprite.__init__",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pygame.spr... |
22220932175 | import requests
from bs4 import BeautifulSoup
from datetime import datetime
import os
from selenium import webdriver
from selenium.common.exceptions import NoSuchElementException, NoSuchAttributeException
from time import sleep
import sys
def main(argv, get_functions):
is_interactive = True
if len(argv) > 1:
... | rafael-ribeiro1/tech-price-comparator | price-comparator.py | price-comparator.py | py | 11,182 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "selenium.webdriver.Edge",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.today",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "da... |
10068849105 | # Create your views here.
import requests
from haystack.inputs import Clean
from haystack.query import SearchQuerySet
from rest_framework import generics
from rest_framework.pagination import PageNumberPagination
from hackertrend.settings import XMashapeKey
from .models import Story
from .serializers import StorySeria... | gokuldh/hacker-trend | backend/trend/views.py | views.py | py | 3,364 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rest_framework.generics.ListAPIView",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.generics",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "rest_framework.pagination.PageNumberPagination",
"line_number": 19,
"usa... |
41383214419 | from typing import Callable
from enum import Enum
from inspect import signature
from hvac import Quantity
from hvac.logging import ModuleLogger
from .model import VRFModel
from .indoor_unit import IndoorUnit
Q_ = Quantity
logger = ModuleLogger.get_logger(__name__)
class WorkingMode(Enum):
COOLING = 'cooling'
... | TomLXXVI/HVAC | hvac/vrf_system/vrf.py | vrf.py | py | 10,088 | python | en | code | 8 | github-code | 6 | [
{
"api_name": "hvac.Quantity",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "hvac.logging.ModuleLogger.get_logger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "hvac.logging.ModuleLogger",
"line_number": 11,
"usage_type": "name"
},
{
"api_... |
198289530 | from model.contact import Contact
import random
import string
import os.path
import jsonpickle
from random import randint
import getopt
import sys
try:
opts, args = getopt.getopt(sys.argv[1:], "n:f:", ["number of contacts", "file"])
except getopt.GetoptError as err:
getopt.usage()
sys.exit(2)
n = 1
f = "d... | baturov-dev/python_testing | generator/contact.py | contact.py | py | 2,015 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "getopt.getopt",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "getopt.GetoptError",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "getopt.usage",
... |
5167023454 | import vk_api
import requests
def load_photos_from_vk(offset, count, callback):
vk_session = vk_api.VkApi('+79523783991', '8io98IO9')
vk_session.auth(reauth=True)
vk = vk_session.get_api()
data = vk.users.search(sort = 0,group = 91050183, offset = offset, count = count, age_from = 18, age_to = 25, stat... | FoVlaX/face_search_conv_nn | vk_loader.py | vk_loader.py | py | 651 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "vk_api.VkApi",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 12,
"usage_type": "call"
}
] |
39583276245 | # -*- coding: utf-8 -*-
from PIL import Image
import imagehash
from flask import json
import cStringIO, urllib2
def clean(imgDir):
hashList = list()
imgList = list()
delete_imglist = list() # 需要删除的imagePath
for imagePath in imgDir:
# for imagePath in s:
# print(imagePath)
... | limingzhang513/lmzrepository | data_module/src/Data_Processing/DataSet/rabbitMQ/pHash.py | pHash.py | py | 1,174 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "urllib2.urlopen",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cStringIO.StringIO",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "imagehash.dhash",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
... |
40686915883 | import ipaddress
import time
import unittest
import gpp_types
import s1ap_types
import s1ap_wrapper
from integ_tests.s1aptests.s1ap_utils import SessionManagerUtil
from lte.protos.policydb_pb2 import FlowMatch
class TestAttachServiceWithMultiPdnsAndBearersMultiUe(unittest.TestCase):
def setUp(self):
self... | magma/magma | lte/gateway/python/integ_tests/s1aptests/test_attach_service_with_multi_pdns_and_bearers_multi_ue.py | test_attach_service_with_multi_pdns_and_bearers_multi_ue.py | py | 12,754 | python | en | code | 1,605 | github-code | 6 | [
{
"api_name": "unittest.TestCase",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "s1ap_wrapper.TestWrapper",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "integ_tests.s1aptests.s1ap_utils.SessionManagerUtil",
"line_number": 15,
"usage_type": "c... |
11613697273 | #-*- coding: utf-8 -*-
"""
Created on Sat Jun 9 11:03:15 2018
@author: Coder-Ze
"""
import os
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
from matplotlib.ticker import MultipleLocator
from matplotlib.ticker import FormatStrFormatter
path1="E:\\wz\\论文\\时域图\\"
fault = ("N","I07",... | Coder-WangZe/transfer-learning-on-fault-detection | plot_py/时域图.py | 时域图.py | py | 3,007 | python | en | code | 6 | github-code | 6 | [
{
"api_name": "numpy.max",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.min",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "matplotlib.rcParams",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.rcParams",
... |
9388397464 | """View functions for the gtphipsi.rush package.
This module exports the following view functions:
- rush (request)
- rush_phi_psi (request)
- schedule (request)
- old_schedule (request)
- info_card (request)
- info_card_thanks (request)
- list (request)
- show (request[, name])
- a... | will2dye4/gtphipsi | rush/views.py | views.py | py | 24,376 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "gtphipsi.common.log_page_view",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 64,
"usage_type": "call"
},
{
"api_name"... |
40115304445 | import traceback
from flask import current_app as app
from flask import flash, redirect, render_template, request, url_for
from flask_wtf.csrf import CSRFError
from ...app import csrf
from ...tools import get_ip_address, get_user_name
from . import actions, view
@view.route("/")
def index():
data = actions.sele... | paulbuildsthings/lmnop | portal/src/lmnop/portal/blueprints/functions/views.py | views.py | py | 3,379 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.render_template",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "tools.get_ip_address",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "tools.get_user_name",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "app.cs... |
16252747492 | import tensorflow as tf
from tensorflow.keras import layers
from tensorflow.keras import regularizers
from datetime import timedelta, datetime
import numpy as np
import pickle
from os import listdir
from os.path import isfile, join
from math import floor
import time
from sklearn.utils import shuffle
from sys import get... | dsmaugy/GOES-Weather-ML | neuralnet.py | neuralnet.py | py | 29,474 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.listdir",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number"... |
41556140955 | from selenium import webdriver
from src.pages.bb_avl_page import BbAvlPage
def test_check_bb_availability():
driver = webdriver.Chrome()
driver.get("https://www.chorus.co.nz/tools-support/broadband-tools/broadband-map")
bb_page = BbAvlPage(driver)
bb_page.select_address("19A Woodland Road, Johnsonvill... | rangasgithublogin/PythonSeleniumTestAutomation | test/test_bb.py | test_bb.py | py | 633 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "src.pages.bb_avl_page.BbAvlPage",
"line_number": 8,
"usage_type": "call"
}
] |
35342262595 | import streamlit as st
import pandas as pd
import numpy as np
from pycaret.classification import load_model, predict_model
model = load_model(r"Model/extree_model_20220727")
@st.cache
def convert_df(df):
return df.to_csv(index=False).encode('utf-8')
def handle_file():
with st.expander("... | Hrithik-Kumar/RTA-Streamlit | app.py | app.py | py | 12,051 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pycaret.classification.load_model",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "streamlit.cache",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "streamlit.expander",
"line_number": 15,
"usage_type": "call"
},
{
"api_name"... |
71459967867 | import os
import glob
import scipy
import torch
import random
import numpy as np
import torchvision.transforms.functional as F
from torch.utils.data import DataLoader
from PIL import Image
from scipy.misc import imread
import cv2
class Dataset(torch.utils.data.Dataset):
def __init__(self, args, image_... | Maikouuu/PBHC | dataset_LIP.py | dataset_LIP.py | py | 22,964 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "torch.utils",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_num... |
5627543389 | # -*- coding: utf-8 -*-
from irt.graph import graph
from irt.common import helper
import json
import logging
import pathlib
from typing import Any
from typing import Union
from typing import Generator
log = logging.getLogger(__name__)
# --- | CODEX IMPORTER
# https://github.com/tsafavi/codex
def load_cod... | lavis-nlp/irt | irt/graph/loader.py | loader.py | py | 4,974 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "typing.Union",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "typing.Union",
"... |
30843234860 | # coding=utf-8
import os
from functools import wraps
from billiard.exceptions import WorkerLostError
from headless.utils import get_headless_logger
from safe.test.utilities import standard_data_path
dir_path = os.path.dirname(os.path.realpath(__file__))
# Layers
earthquake_layer_uri = os.path.join(
dir_path, 'd... | inasafe/inasafe-headless | src/headless/tasks/test/helpers.py | helpers.py | py | 2,432 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "os.path.dirname",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"lin... |
25054147662 | #!/usr/bin/python3
#import sys
import requests
import os
import subprocess as ok
import argparse
parser = argparse.ArgumentParser(description="tool to check if url is accessible")
parser.add_argument("-apk", type=str, help="type name of of apk", required=True)
a = parser.parse_args()
url=ok.getoutput("strings "+a.ap... | AkhileshPande/DB-Exploit | app.py | app.py | py | 659 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "subprocess.getoutput",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "requests.put... |
38051670942 | from fastapi import FastAPI
from typing import Union
import httpx
from bs4 import BeautifulSoup
app = FastAPI()
@app.get('/')
def hello(url: Union[str, None] = None):
with httpx.Client() as client:
print(url)
r = client.get(url)#.text
c = client.get(url).content
soup = BeautifulSoup(r,... | pravar1919/link_preview | main.py | main.py | py | 1,125 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "typing.Union",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "httpx.Client",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line... |
74052539709 | # functionalities to integrate the rgb and sigma(density) along a ray to get the RGB of pixels
import torch
import math
def integrate_ray(batch_size, outputs, sigmas, delta):
num_sampled_points = outputs.shape[1]
C_out = torch.zeros((batch_size, 3))
for i in range(batch_size):
T_exponent = 0
... | haomengz/AE740_FinalProject_NeRF | ray_int.py | ray_int.py | py | 654 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.zeros",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torch.zeros",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "math.exp",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "math.exp",
"line_number": 15,
... |
19757876599 | # storage.fileDao.py
import json
import pathlib as pl
from abc import ABC
from typing import Optional, IO, Union, List
import debug.logger as clog
from storage.base import Dao, Connectible, Connection, PathCheckMode
logger = clog.getLogger(__name__)
class FileConnection(Connection):
def __init__(self, path: pl... | dbyte/WebtomatorPublicEdition | webtomator/storage/fileDao.py | fileDao.py | py | 21,002 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "debug.logger.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "debug.logger",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "storage.base.Connection",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "pathlib.P... |
8274807406 | '''
Course: CST205-01_FA22
Title: Target Walmart Project
Abstract:
Authors: Christopher Raya, Kyle Dowling, Ricardo Perez JR
Date: 12/05/2022
'''
from flask import Flask, render_template
from flask_bootstrap import Bootstrap5
from flask import request
import random
import requests
import json
#API STUFF ~~~~~~~~~~~~~~... | kdowling99/cst205_project_3700 | project 2/project2.py | project2.py | py | 3,860 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.request",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "requests.request",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_n... |
25069679831 | #!/usr/bin/python3
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.common.exceptions import NoSuchElementException
from secrets import uri
import paho.mqtt.client as mqttClient
import time
import datetime
def send_mqtt(value):
from secrets import user, password,... | superm1/fhs_tracker | parse_fhs.py | parse_fhs.py | py | 2,060 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "paho.mqtt.client.Client",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "paho.mqtt.client",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "secrets.user",
"line_number": 17,
"usage_type": "argument"
},
{
"api_name": "secrets.pas... |
8068263781 | import torch
import torch.nn as nn
import torch.nn.functional as F
from rigl_torch.models.model_factory import ModelFactory
class MnistNet(nn.Module):
def __init__(self):
super(MnistNet, self).__init__()
self.conv1 = nn.Conv2d(1, 32, 3, 1)
self.conv2 = nn.Conv2d(32, 64, 3, 1)
self... | calgaryml/condensed-sparsity | src/rigl_torch/models/mnist.py | mnist.py | py | 1,024 | python | en | code | 10 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numb... |
21247663274 | import os
import logging
import json
import sys
sys.path.append(".")
import click
import mlflow
from heart_cleveland.data.make_dataset import (
download_from_gdrive,
unzip_downloaded_data,
read_data,
split_train_test_data,
)
from heart_cleveland.enities.train_pipeline_params import read_training_pipel... | made-ml-in-prod-2022/minakovaa | ml_project/heart_cleveland/train_pipeline.py | train_pipeline.py | py | 4,890 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"lin... |
14946617919 | #!/usr/bin/env python
"""
Monitor and alert based on metrics related to AWS processing.
Currently implemented:
- Check latest BUFR file timestamp at DMI ftp upload directory
- Check latest BUFR file timestamp bufr out path
- Check latest BUFR file timestamp bufr backup path
- Check aws-l0/tx file update times
- Check... | GEUS-Glaciology-and-Climate/aws-monitor-alert | src/alert_processing/check_alerts.py | check_alerts.py | py | 9,874 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.handlers.getLogger",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "logging.handlers",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "datetime.datetime",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "alert_p... |
2462919791 | import sys
sys.path.append('/usr/local/python/3.5')
# Standard imports
import os
import cv2
from cv2 import aruco
import numpy as np
# Load Calibrated Parameters
calibrationFile = "calibrationFileName.xml"
calibrationParams = cv2.FileStorage(calibrationFile, cv2.FILE_STORAGE_READ)
camera_matrix = calibrationParams.... | laurarajkowski/ProjetNiche | src_detection_aruco/test1.py | test1.py | py | 2,468 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "cv2.FileStorage",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cv2.FILE_STORAGE_READ",
... |
72544609149 | from sklearn.neural_network import MLPClassifier
from sklearn.preprocessing import Normalizer
import pandas as pd
import numpy as np
from sklearn.feature_extraction.text import TfidfVectorizer
from nltk.stem.snowball import SnowballStemmer
from nltk.tokenize import RegexpTokenizer
def normalize_variable(nn_df,variable... | zacwentzell/BIA660D_Group_1_Project | Recommendation System/Method_4_Neural_Network/Method_4_Neural_Network.py | Method_4_Neural_Network.py | py | 3,839 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "sklearn.preprocessing.Normalizer",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "nltk.stem.snowball.SnowballStemmer",
"line_number": 19,
"usage_type": "call"
},
{
... |
17320099072 | import torch
from torch.utils.data import DataLoader
import numpy as np
import os
import config
from models import my_model, densenet121, comp_resnet50, comp_dense, densenet_3stage
device = torch.device('cuda') if torch.cuda.is_available() else torch.device('cpu')
print(device)
compress_rate = [0]*21
model1 = co... | dhryougit/Multi-Stage-High-rank-pruning | inference_time.py | inference_time.py | py | 2,382 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.cuda.is_available",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "torch.device",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "models.comp_resn... |
73811431868 | from typing import Any
import numpy as np
import torch
from torchvision.transforms import (
Compose,
Pad,
RandomCrop,
RandomHorizontalFlip,
RandomVerticalFlip,
RandomApply,
RandomRotation,
RandomErasing,
RandomResizedCrop,
ColorJitter,
Grayscale,
ConvertImageD... | somcogo/embedding | utils/ops.py | ops.py | py | 10,003 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.Tensor",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "torchvision.transforms.Compose",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms.Pad",
"line_number": 26,
"usage_type": "call"
},
{
"api_n... |
70127767549 | from email.mime import audio
from http import server
import pyjokes
from time import strftime
from tkinter import EXCEPTION
from unittest import result
import pyttsx3
import datetime
import speech_recognition as sr
import wikipedia
import webbrowser
import os
import smtplib
import pywhatkit
from news import *
from sele... | bArryAllen6843/Alexa-in-python | personal_assistant.py | personal_assistant.py | py | 5,637 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pyttsx3.init",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "email.mime.audio",
"line_number": 39,
"usage_type": "argument"
},
{
"api_name": "datetime.datetime.now",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "datetime.date... |
27838321941 | import os
from flask import Flask, request, jsonify
import requests
import json
from VWB import bot, tools, tg_methods as tg
from VWB import tools
app = Flask(__name__)
@app.route('/')
def index():
return 'Get out of my room'
@app.route('/webhook', methods=['POST', 'GET'])
def webhook():
if request.met... | MikhailResumePython/VWallBot | main.py | main.py | py | 914 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "flask.request.get... |
43627376464 | from typing import List
class Solution:
def decompressRLElist(self, nums: List[int]) -> List[int]:
res = []
for i in range(len(nums)//2):
t = nums[i*2]
num = nums[i*2+1]
res += [num]*t
return res
def test(self):
test_cases = [
[1... | MichaelTQ/LeetcodePythonProject | solutions/leetcode_1301_1350/LeetCode1313_DecompressRunLengthEncodedList.py | LeetCode1313_DecompressRunLengthEncodedList.py | py | 560 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 5,
"usage_type": "name"
}
] |
10421997683 | from __future__ import annotations
from typing import TYPE_CHECKING
from randovania.generator.filler.filler_library import UncollectedState, find_node_with_resource
from randovania.resolver import debug
if TYPE_CHECKING:
from collections.abc import Iterable
from randovania.game_description.db.node_identifie... | randovania/randovania | randovania/generator/filler/filler_logging.py | filler_logging.py | py | 3,671 | python | en | code | 165 | github-code | 6 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "randovania.game_description.db.resource_node.ResourceNode",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "randovania.game_description.game_description.GameDescription",
... |
3083884702 | import math
import numpy as np
import random
import psychopy.visual
import psychopy.event
import psychopy.core
import gabor_ball
from enum import IntEnum
save_video = False
class ChangeType(IntEnum):
Rotation = 0
Shift = 1
AllRotation = 2
change_type = ChangeType.Shift
# experiment parameter
# 0 o... | ksk-S/DynamicChangeBlindness | experiment/ExpDxCB.py | ExpDxCB.py | py | 3,704 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "enum.IntEnum",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "psychopy.visual.core.Clock",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "psychopy.visual.core",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "psy... |
39170148619 | #
#
#
#
import cairo
import numpy as np
import cv2 as cv
import svgpathparser
from math import pi as M_PI
from math import e as M_E
# target output video size and length
OUT_WIDTH = 1920//3
OUT_HEIGHT = 1080//3
OUT_FPS = 60
FRAME_COUNT = 1*OUT_FPS
# the frame buffer that cairo prefers uses ARGB (32 bit / pixel) but ... | jordan-bonecutter/FourierVisualizerII | main.py | main.py | py | 5,042 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "numpy.zeros",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "svgpathparser.firstpathinfile",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "svgpathpar... |
14953189656 | # Excel calculator
import openpyxl
# Create workbook variable to create a excel workbook
new_workbook = openpyxl.Workbook()
# Accessing the current worksheet
current_sheet = new_workbook.active
current_sheet.title = "Calculator"
# Creating the ranges
current_sheet.cell(1,1).value = "First number ==>"
current_shee... | nikky110790/pythoncodes | Python/Projects/04 Exercises/J) CSV and Excel/a) Excel calculator.py | a) Excel calculator.py | py | 617 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "openpyxl.Workbook",
"line_number": 8,
"usage_type": "call"
}
] |
16546105367 | import os
from torch.utils.data import DataLoader
import torch
from torch import nn
import torch.optim as optim
from sampling import FaceDataset
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
from utils import offset_iou
import numpy as np
import time
import shutil
class Trai... | nuisttlj/AI_study | MyTest01/trainer.py | trainer.py | py | 15,381 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.use",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.nn.BCELoss",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "torch.nn.MSELoss",
"line_... |
27481079177 | import numpy as np
import cv2
import torch.utils.data as data
import torchvision.transforms as transforms
import torch
def preprocess1(image1,image3):
x1 = cv2.imread(image1)
#x1 = x1[0:255,50:550]
x1 = np.array(x1)
x1 = x1.reshape((-1,225,600))
x3 = cv2.imread(image3)
#x3 = x3[0:255,50:550]
... | ljf61/XXXNet2 | data.py | data.py | py | 1,817 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.imread",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 14,... |
14099547677 | import re
from os import listdir
from os.path import isfile, join
import numpy as np
import seaborn as sns
from matplotlib import pyplot as plt
import math
#This document is solely based on Datenauswerter.ipynb and its only purpose is to offer functions for conciseness to the README file
'''
Input:
fi... | Chrismw98/Sonnenuntergrang_Projekt | Datenauswertungsfunktionen.py | Datenauswertungsfunktionen.py | py | 15,223 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "re.split",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "re.split",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_number": 66,
... |
2585632137 | import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import streamlit as st
sns.set(style='dark')
def create_monthly_users_df(df):
monthly_users_df = df.resample(rule='M', on='dteday').agg({
"casual": "sum",
'registered': 'sum'
})
monthly_users_df = monthly_users_df.r... | fanani03/streamlit-data_analysis | Submission/dashboard/project_akhir.py | project_akhir.py | py | 4,136 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "seaborn.set",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "streamlit.sidebar",
... |
72739032508 | from django.urls import path
from .views import EmailView, VerifyEmailView, DoctorProfileView, DoctorRequestVerificationView, DoctorSetAvailabilityView, DoctorVPAView, DoctorReceivedPaymentsView, DoctorIndividualPayoutListView, InstantFees
urlpatterns = [
path('email/', EmailView.as_view(), name="email"),
pat... | kothawleprem/MedConnect | core/doctors/urls.py | urls.py | py | 964 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "views.EmailView.as_view",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "views.EmailView",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.urls.pat... |
13721678071 | from django.contrib import admin
from django.urls import path, include
from users.views import CustomUserViewSet
from rest_framework import routers
router = routers.SimpleRouter()
router.register(r'users', CustomUserViewSet)
from rest_framework_simplejwt.views import (
TokenObtainPairView,
TokenRefreshView,
)... | mrqwer/testproj | testproj/urls.py | urls.py | py | 777 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rest_framework.routers.SimpleRouter",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "rest_framework.routers",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "users.views.CustomUserViewSet",
"line_number": 7,
"usage_type": "argument"
},
... |
24576255778 | from asyncio import Queue
from datetime import datetime as dt
import random
import discord
from discord.ext import commands
from .generationworker import GenerationInfo, GenerationTask
from .promptvalidator import PromptValidator, PromptValidatorError
from .upscalebuttons import UpscaleButtons
from .logger import get... | danidsnk/sd-discord-bot | bot/commandhandler.py | commandhandler.py | py | 5,382 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logger.get_logger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands.Bot",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "... |
21546355384 | import re
from collections import namedtuple
from dataclasses import dataclass, field
from types import MappingProxyType
import numpy as np
from helper import load_input
class Lights:
def __init__(self):
self.arr: np.ndarray = np.zeros((1000, 1000), dtype=bool)
self.fn_lookup: dict={
... | rick-62/advent-of-code | advent_of_code_2015/solutions/day06.py | day06.py | py | 2,692 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.ndarray",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "numpy.ndarray",... |
25175585019 | import csv
from dataclasses import dataclass
from typing import List
import numpy as np
import torch
# PATHS
TRAIN_DATASET_PATH = "c:/workspace/fer-dl/lab03/resources/sst_train_raw.csv"
VALID_DATASET_PATH = "c:/workspace/fer-dl/lab03/resources/sst_valid_raw.csv"
TEST_DATASET_PATH = "c:/workspace/fer-dl/lab03/resourc... | ftodoric/fer-du | lab03/data.py | data.py | py | 8,059 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "dataclasses.dataclass",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "torch.LongTensor",
"line_number": 85,
"usage_type": "call"
},
{
"api_name": "torch.LongTensor",
"line_number": 87,
"usage_type": "attribute"
},
{
"api_name": "torch.ut... |
1025225076 | import os
import requests
import csv
import pandas as pd
import torch
import faiss
from datasets import Dataset
from transformers import AutoTokenizer, AutoModel
from flask import Flask, jsonify, request
from collections import Counter
os.environ['KMP_DUPLICATE_LIB_OK']='True'
main = Flask(__name__)
tokenizer = AutoTo... | 0ever/ScrapedSemanticSearch | main.py | main.py | py | 2,360 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.environ",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "flask.Flask",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "transformers.AutoTokenizer.from_pretrained",
"line_number": 14,
"usage_type": "call"
},
{
"api_name":... |
9634419435 | ''' Routines for truncation via self-energy moments.
A note on QR decomposition methods:
The slowest step in most AGF2 calculations tends to be the QR
factorisation of the couplings in the Sigma truncation. For
this reason I have tried a number of different QR codes, but
I have set... | obackhouse/auxgf | auxgf/aux/setrunc.py | setrunc.py | py | 9,065 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "auxgf.util.cholesky_qr",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "auxgf.util",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "functools.partial",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "auxgf.util.q... |
24442638034 | import openai
# Replace with your own API key
openai.api_key = "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"
def analyze_sentiment(article_body):
openai.api_key = "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"
try:
response = openai.Completion.create(
engine="text-davinci-0... | novatc/sent-news | chatGPT_api.py | chatGPT_api.py | py | 2,108 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "openai.api_key",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "openai.api_key",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "openai.Completion.create",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "openai... |
36635412793 | '''
参考了https://blog.csdn.net/fei347795790/article/details/99693076?ops_request_misc=%257B%2522request%255Fid%2522%253A%2522161776305816780262563072%2522%252C%2522scm%2522%253A%252220140713.130102334.pc%255Fblog.%2522%257D&request_id=161776305816780262563072&biz_id=0&utm_medium=distribute.pc_search_result.none-task-blog... | JuniorSummer/Banyu_3_KnowledgeGraph | spider.py | spider.py | py | 1,936 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "urllib.request.parse.quote",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "urllib.request.parse",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "urllib.request",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "u... |
8670872244 | import SimpleITK
import json
import numpy as np
import argparse
def check_census(heatmap_path, census_data, mask_lookup, rng):
n_validated = 0
is_bizarre = False
heatmap_arr = SimpleITK.GetArrayFromImage(
SimpleITK.ReadImage(heatmap_path))
sub_keys = list(census_data.keys())
s... | AllenInstitute/neuroglancer_formatting_scripts | utils/validate_census.py | validate_census.py | py | 5,721 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "SimpleITK.GetArrayFromImage",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "SimpleITK.ReadImage",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "SimpleITK.GetArrayFromImage",
"line_number": 33,
"usage_type": "call"
},
{
"api_na... |
73760847226 | import serial
from time import sleep
ser = serial.Serial('/dev/ttyUSB0', 9600)
ser.write(b'k')
for i in range(0, 3):
for j in range(0, 3):
sleep(3)
dioda = str(2*i) + str(2*j) + 'b'
print(dioda)
signal = bytes(dioda, 'utf-8')
ser.write(signal)
sleep(3)
ser.write(b'k')
| basicskill/Checkers | pomocni.py | pomocni.py | py | 293 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "serial.Serial",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 13,
"usage_type": "call"
}
] |
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