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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
41205805111 | # -*- coding: utf-8 -*-
"""
Created on Thu Oct 17 09:57:54 2019
@author: Chris Tracy
"""
"""
This module contains functions for reading in GridFloat data from the National Elevation
Dataset (NED) and plotting the data. NOTE: As of December 2019, this file type is no longer
an option when downloading the da... | CTrac314159/elev-gridfloat-py | elev_gridfloat.py | elev_gridfloat.py | py | 13,112 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.path.splitext",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"line_number": 64,
"usage_type": "attribute"
},
{
"api_name": "os.path",
"line_number": 64,
"usage_type": "name"
},
{
"api_name": "numpy.isclose",
"... |
29692847042 | import torch
import torch_mlir
import os
import argparse
os.environ['TRANSFORMERS_CACHE'] = '/tmp/transformers/cache/'
def parse_args():
parser = argparse.ArgumentParser(description="Convert a PyTorch model to MLIR.")
parser.add_argument("out_mlir_path", nargs="?", default="./output/01_tosa.mlir", help="Path ... | pnnl/soda-opt | docs/tutorials/pytorch/lowering/docker-version/torchscript.py | torchscript.py | py | 1,804 | python | en | code | 15 | github-code | 18 | [
{
"api_name": "os.environ",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Conv2d",... |
32269256486 | import arcpy, sys
from os import path
from os import unlink
username = arcpy.GetParameterAsText(0)
appServerRoot = arcpy.GetParameterAsText(1)
dataRoot = arcpy.GetParameterAsText(2)
gisServerMachine = arcpy.GetParameterAsText(3)
folder = arcpy.GetParameterAsText(4)
gisConnection = arcpy.GetParameterAsText(5)
#GIS ser... | wpears/BathCat | buildfiles/update.py | update.py | py | 7,313 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "arcpy.GetParameterAsText",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "arcpy.GetParameterAsText",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "arcpy.GetParameterAsText",
"line_number": 7,
"usage_type": "call"
},
{
"api_name"... |
4332363628 | # Given a string s, find the length of the longest substring without repeating characters.
from collections import defaultdict
class Solution(object):
def lengthOfLongestSubstring(self, s):
"""
:type s: str
:rtype: int
"""
# Brute Force:
# longest_sub = 0
... | johny1122/LeetCode | Array/medium/lengthOfLongestSubstring.py | lengthOfLongestSubstring.py | py | 1,385 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "collections.defaultdict",
"line_number": 35,
"usage_type": "call"
}
] |
23526767245 | import sys
from time import time
sys.path.extend(['.'])
from transaction import Transaction
from merkle_tree import MerkleTree
from utils import sha256
class BlockHeader:
def __init__(self, index, previous_block_digest, mining_date, nonce, digest):
"""
Crée l'en-tête d'un bloc
:param inde... | Quentin-Berthet/tp_blockchain_Python | block.py | block.py | py | 2,466 | python | fr | code | 0 | github-code | 18 | [
{
"api_name": "sys.path.extend",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "merkle_tree.MerkleTree",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "transaction.Transa... |
40820422263 | import yaml
import uuid
import time
import qrcode
from io import BytesIO
from flask import g
from app.models.coupon_finder_db_model import User, Category, Coupon
from sqlalchemy.orm import sessionmaker
from qiniu import Auth, put_file
from datetime import datetime
from . import coupon_finder_engine
with open('app/conf... | Shuobin-P/coupon_finder_python | app/utils.py | utils.py | py | 2,771 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "yaml.safe_load",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "app.models.coupon_finder_db_model.Category",
"line_number": 17,
"usage_type": "argument"
},
{
"api_name": "app.models.coupon_finder_db_model.Category.name",
"line_number": 17,
"usage... |
36993238117 | from flask import Flask
from flask_cors import CORS
import os
from . import config
from .app_blueprint import bp
import logging
__version__ = "0.2.12"
def create_app(test_config=None):
app = Flask(__name__)
CORS(app, expose_headers='WWW-Authenticate')
configure_app(app)
if test_config is not None... | seung-lab/NeuroglancerJsonServer | neuroglancerjsonserver/__init__.py | __init__.py | py | 979 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "app_blueprint.bp",
"line_number": 22,
"usage_type": "argument"
},
{
"api_name": "os.getenv",
"lin... |
40646763766 | import numpy as np
import matplotlib.pyplot as plt
import matplotlib.pylab as pl
from matplotlib.colors import LogNorm, Normalize
import matplotlib as mpl
from astropy.io import fits, ascii
from astropy.modeling import models
from astropy import modeling
from astropy import units as u
# from kpicdrp import background,... | danechever/VFN-Lab | KPIC_VFN_cals/Calibration/extract_spec_flux.py | extract_spec_flux.py | py | 33,132 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "Track_Cam_cmds.TC_cmds",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "Star_Tracker_cmds.Tracking_cmds",
"line_number": 47,
"usage_type": "call"
},
{
"ap... |
74782662761 | """Added complain table
Revision ID: 485543c154fc
Revises: c6d2d23080c5
Create Date: 2022-11-03 11:14:20.799902
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '485543c154fc'
down_revision = 'c6d2d23080c5'
branch_labels = None
depends_on = None
def upgrade():... | danielTunwashe/myBlog | migrations/versions/485543c154fc_added_complain_table.py | 485543c154fc_added_complain_table.py | py | 956 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "alembic.op.create_table",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integ... |
42904249424 | import tweepy
import time
auth = tweepy.OAuth1UserHandler(
'7POHEsJv6mrw668KcNTcyKmPs', '17a9opR34yX4YeJ2wnVSXkpyxev1liT8jmbPG4weMLCxDIamXn', '1597932774253809665-vX7OmjMr07p1OrMnpJgCDv3M7bP33G', 'cEnXNZjnZ1KErGsTOCYgWqjv7qo0lAzzFrrKftpkCY1zJ'
)
api = tweepy.API(auth, wait_on_rate_limit=True)
for follower in twe... | kshitij-codes/twitter-bot | twitter_bot.py | twitter_bot.py | py | 889 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "tweepy.OAuth1UserHandler",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "tweepy.API",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "tweepy.Cursor",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tweepy.Cursor",
"... |
75439637800 | """
Author: CHR-onicles©
Date: 05/12/2020
DSC UG Python Challenge - Time Tracker App.
"""
from tkinter import *
from tkcalendar import *
from tkinter.filedialog import askdirectory
from tkinter import messagebox
from PIL import Image, ImageTk
from datetime import datetime as dt
import openpyxl
import os
import thread... | CHR-onicles/DSC-UG-Python-Challenge | main.py | main.py | py | 41,822 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "os.getcwd",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "PIL.ImageTk.PhotoImage",
"line_number": 134,
"usage_type": "call"
},
{
"api_name": "PIL.ImageTk",
"line_number": 134,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
"... |
18104881181 | from django.shortcuts import render
from .models import Order, OrderItem
from .forms import OrderCreateForm
from cart.cart import Cart
from django.contrib.admin.views.decorators import staff_member_required
from django.shortcuts import get_object_or_404, redirect
from .render import render_to_pdf
from django.conf impor... | abdi-momo/SalesManagement | orders/views.py | views.py | py | 7,842 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cart.cart",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "cart.cart.Cart",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "forms.OrderCreateForm",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "cart.cart.coupon",
... |
39799416529 | from bs4 import BeautifulSoup
import re
import requests
def get_joke():
url = "https://icanhazdadjoke.com/"
reading = requests.get(url)
soup = BeautifulSoup(reading.text, "lxml")
# print(reading.text)
spans = soup.find_all('div', {'class': "card-content"})
# print(spans)
return spans[0].fin... | GaryDoooo/emoji_game | get_a_joke.py | get_a_joke.py | py | 534 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 8,
"usage_type": "call"
}
] |
17079867439 | from sklearn.linear_model import LinearRegression
from sklearn.linear_model import Ridge
from sklearn.tree import DecisionTreeRegressor
from sklearn import linear_model
from sklearn.linear_model import LogisticRegression
from sklearn.ensemble import RandomForestRegressor
import pandas as pd
import numpy as np
from skle... | soorya-prakash/automated_machine_learning_code | evaluate_params.py | evaluate_params.py | py | 13,555 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.DataFrame",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",... |
11872786101 | # -*- coding: utf-8 -*-
"""
Created on Mon Feb 17 21:02:08 2014
@author: ventilator
Each character on a computer is assigned a unique code and the preferred standard is ASCII (American Standard Code for Information Interchange). For example, uppercase A = 65, asterisk (*) = 42, and lowercase k = 107.
A modern encr... | ventilator/peuler | problem 059 - XOR crypto/problem.py | problem.py | py | 2,518 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.loadtxt",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "itertools.product",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "itertools.cycle",
"line_number": 41,
"usage_type": "call"
}
] |
71427499880 | # This Python 3 environment comes with many helpful analytics libraries installed
# It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python
# For example, here's several helpful packages to load in
import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O... | aorursy/new-nb-3 | jamebondnguyen_simple-nyc-taxi-fare-starter.py | jamebondnguyen_simple-nyc-taxi-fare-starter.py | py | 6,052 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.listdir",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.cos",
"line_n... |
3273117121 | import tensorflow as tf
import numpy as np
from bench.core.executer import Executer
def accuracy(pred, target, topk=1, thresh=None):
if isinstance(topk, int):
topk = (topk, )
return_single = True
else:
return_single = False
maxk = max(topk)
if pred.shape[0] == 0:
accu ... | DeepLink-org/DLOP-Bench | bench/samples/long_tail/mmdetection_accuracy/xla_impl.py | xla_impl.py | py | 1,339 | python | en | code | 38 | github-code | 18 | [
{
"api_name": "tensorflow.zeros",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "tensorflow.shape",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "tensorflow.math.top_k",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "tensorflow.ma... |
43475312382 | # -*- coding: utf-8 -*-
"""
@Author: xiezizhe
@Date: 23/6/2020 下午7:29
"""
from typing import List
class Solution:
def maximalSquare(self, matrix: List[List[str]]) -> int:
if not matrix:
return 0
m, n = len(matrix), len(matrix[0])
ret = 0
dp = [[0 for __ in range(n)]... | forrest0402/leetcode | python/221. Maximal Square.py | 221. Maximal Square.py | py | 1,029 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 12,
"usage_type": "name"
}
] |
16324219620 | from torch import nn, einsum
import torch
from functools import partial
from src.models.helpers import exists, default, PreNorm, SinusoidalPositionEmbeddings, Residual
from src.models.conv_blocks import ResnetBlock, Downsample, Upsample
from src.models.attention import Attention, LinearAttention
from src.train.util i... | stanipov/pytorch-diffusion | src/models/unet.py | unet.py | py | 9,546 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torch.nn.Module",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_nu... |
32922412695 | import os
import pandas as pd
import numpy as np
import tensorflow as tf
from os.path import normpath
from tensorflow.math import reduce_sum
from tensorflow.keras import (
Input,
Model
)
from tqdm.auto import tqdm
from joblib import Parallel, delayed
from statsmodels.stats.multitest im... | npdeloss/mepp | mepp/utils.py | utils.py | py | 15,529 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "tensorflow.config.set_visible_devices",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "tensorflow.config",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.config.threading.set_intra_op_parallelism_threads",
"line_number": 35... |
9673716479 | from __future__ import absolute_import
from __future__ import print_function
import io
import re
from glob import glob
from os.path import basename
from os.path import dirname
from os.path import join
from os.path import splitext
from setuptools import find_packages
from setuptools import setup
def read(*names, **k... | jshernandezs/swat-pytools | setup.py | setup.py | py | 1,893 | python | en | code | 13 | github-code | 18 | [
{
"api_name": "io.open",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "setuptools.setup",
"line_num... |
13731877375 | from ultralytics import YOLO
from PIL import Image
model = YOLO("Models/YoloV8_own/best.pt")
results = model.predict("Pictures/germanShepherd.jpg")
result = results[0]
len(result.boxes)
box = result.boxes[0]
# print("Object type:",box.cls[0])
# print("Coordinates:",box.xyxy[0])
# print("Probability:",box.conf[0])
# ... | CptTemplar1/Rozpoznawanie_obrazow | RozpoznawanieRasPsow/Code/UseModels/Yolov8.py | Yolov8.py | py | 694 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "ultralytics.YOLO",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "PIL.Image.fromarray",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 26,
"usage_type": "name"
}
] |
7474679137 | from typing import List
import pandas as pd
import pytest
from numpy.testing import assert_allclose
from make_dataset import read_data
from entities.feature_params import FeatureParams
from src.features.build_features import process_features, extract_target, build_transformer
@pytest.fixture
def feature_params(
... | made-ml-in-prod-2021/evgeniimunin | ml_project/tests/features/test_make_features.py | test_make_features.py | py | 1,506 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "entities.feature_params.FeatureParams",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pytest.... |
35505199977 | from __future__ import division,print_function
import sys,random
sys.dont_write_bytecode = True
import housing,ranges
from rangesLib import *
# add in scorerd. abcd mre, lift
def g(x): return ('%g' % x)
def _rangeLib(seed=1):
random.seed(seed)
def show(n,rule):
print(n,g(rule.score),rule)
#print(n,sorte... | ai-se/leaner | src/ranker.py | ranker.py | py | 1,501 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.dont_write_bytecode",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "random.seed",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "housing.housing",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "ranges.sdiv",... |
26505520012 | from multiprocessing.sharedctypes import Value
import atexit
import os
import wandb
from pathlib import Path
from minerl3161.agents import BaseAgent
class Checkpointer:
def __init__(
self,
agent: BaseAgent,
checkpoint_every: int = None,
use_wandb: bool = True,
use_ate... | will-maclean/MineRL | src/minerl3161/utils/checkpointer.py | checkpointer.py | py | 2,494 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "minerl3161.agents.BaseAgent",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "atexit.register",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
33595526020 | import sys;
sys.path.extend(['../crypto_trading'])
import pandas as pd
import os
import asyncio
from pathlib import Path
from market.tardis import Tardis, TardisType, BitMEX, instrument_info, download_book_change_tasks, download_task
from calendar import monthrange, isleap
import datetime as dt
# https://stackov... | qtests/tardis_data | TData_lib.py | TData_lib.py | py | 2,527 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.path.extend",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "calendar.isleap",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "calendar.monthrange",
... |
7140998180 | # -*- coding:utf-8 -*-
from sklearn.datasets import load_digits
from scipy import optimize
import numpy as np
import matplotlib.pyplot as plt
import scipy.io as sio
# 这个数据集中并没有图片，而是经过提取得到的手写数字特征和标记，就免去了我们的提取数据的麻烦，
# 但是在实际的应用中是需要我们对图片中的数据进行提取
digits = load_digits() # 1797*64 共有1797个数据，0 ~9中的某个，均为8*8像素，故有64列，每列代表其像素的灰度... | Messi-Q/Coursera-ml-class-ex | one-vs-all_logistic_regression/one-vs-all_logistic_regression.py | one-vs-all_logistic_regression.py | py | 5,992 | python | zh | code | 3 | github-code | 18 | [
{
"api_name": "sklearn.datasets.load_digits",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.flatnonzero",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.random.choice",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "nu... |
19061735874 | '''
Code to plot graph using data file
Alexandre Mascarenhas
'''
import json
import shutil
import itertools
import operator
import random
import numpy as np
import pandas as pd
import math
import matplotlib.pyplot as plt
import datetime
import os
import csv
import sys
cDate = datetime.datetime.now()
year = cDate.year... | AbEC-EC/AbEC | abec/metrics/metrics.py | metrics.py | py | 3,046 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "datetime.datetime.now",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "pandas.u... |
7206077181 | """
Created on Dec 13, 2018
@author: Yuedong Chen
"""
from data import create_dataloader
from model import create_model
from visualizer import Visualizer
import copy
class BaseSolver(object):
"""docstring for BaseSolver"""
def __init__(self):
super(BaseSolver, self).__init__()
... | donydchen/FMPN-FER | solvers/base_solver.py | base_solver.py | py | 2,327 | python | en | code | 92 | github-code | 18 | [
{
"api_name": "visualizer.Visualizer",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "data.create_dataloader",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "model.create_model",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "data.... |
16516175327 | import logging
from datetime import datetime, timedelta
from aiogram import Bot, Dispatcher, executor, types
from aiogram.contrib.fsm_storage.memory import MemoryStorage
from aiogram.dispatcher import FSMContext
from aiogram.types import ReplyKeyboardRemove
from config import API_TOKEN, EMAIL_DOMAIN
from custom_funcs... | nodir-malikov/1second-mail-bot | main.py | main.py | py | 4,139 | python | ru | code | 1 | github-code | 18 | [
{
"api_name": "logging.basicConfig",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "aiogram.Bot",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "config.API_TOKEN",
... |
40721919840 |
from PyQt5 import QtCore, QtGui, QtWidgets
from PyQt5.QtWidgets import *
import BackGround
import sqlite3
class Ui_QueryWindow(object):
def setupUi(self, QueryWindow):
QueryWindow.setObjectName("QueryWindow")
QueryWindow.resize(911, 800)
self.centralwidget = QtWidgets.QWidget(QueryWindow... | nguyenngocthien0206/PyQt5-Student-Management | UI_Python/QueryWindow.py | QueryWindow.py | py | 7,598 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QLabel",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "PyQt5.... |
42844598840 | import time
import pytest
from fastapi.testclient import TestClient
from productClass import Product
from main import app
client = TestClient(app)
test_product = Product(
product_name="pytest",
description="new test product",
quantity_available=4,
contact_info="mail.com"
)
test_product_json_data = {... | nqoy/TreasureJunk | app/backend/database_service/test_endpoints.py | test_endpoints.py | py | 2,524 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "fastapi.testclient.TestClient",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "main.app",
"line_number": 7,
"usage_type": "argument"
},
{
"api_name": "productClass.Product",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "time.sle... |
8946746759 | import re
import glob
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from scipy.ndimage import gaussian_filter1d
plt.rcParams.update({
'text.usetex': True,
'text.latex.preamble': r'\usepackage{siunitx}'
})
plt.style.use('ggplot')
# importing files into dataframes
files = glob.glob('da... | davifeliciano/franck_hertz | plot2.py | plot2.py | py | 2,884 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "matplotlib.pyplot.rcParams.update",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 8,
"usage_type": "name"
},
{
"... |
14064998834 | # -*- coding = utf-8 -*-
# @time:2020/9/22 23:51
# Author:TC
# @File:网格搜索+xgboost.py
# @Software:PyCharm
from sklearn.datasets import load_iris
from xgboost import plot_importance
from matplotlib import pyplot as plt
from sklearn.metrics import accuracy_score
import xgboost as xgb
import pandas as pd
from ... | Chantown1227/xgboost-gridsearchcv | 网格搜索+xgboost.py | 网格搜索+xgboost.py | py | 1,996 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "sklearn.datasets.load_iris",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "xgboost.XGBClassifier",
"line_number": 35,
"usage_type": "call"
},
... |
23152620619 | # -*- coding: utf-8 -*-
import numpy as np
from collections import Counter
def play_round(player, board, s, win_size):
print('\n--------------------------------')
print(f"Turn {turn} :: {symbol[player]}'s move")
print('--------------------------------\n')
while True:
print_board(board, s)
... | erikblanchard/tictac_py | tictactoe-main.py | tictactoe-main.py | py | 6,671 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.diag",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "numpy.diag",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "numpy.fliplr",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "numpy.diag",
"line_number": 62... |
2285176797 | import arxiv
# max_results = float('inf'),
search = arxiv.Search(
query = "Word Embedding in Bangla",
id_list = [],
max_results = 10,
sort_by = arxiv.SortCriterion.Relevance,
sort_order = arxiv.SortOrder.Descending
)
for result in search.results():
print(result.title)
result.download_pdf()
| abj-paul/BNLP-Knowledge-Graph | webscraping/main.py | main.py | py | 309 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "arxiv.Search",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "arxiv.SortCriterion",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "arxiv.SortOrder",
"line_number": 8,
"usage_type": "attribute"
}
] |
6094894677 | import logging
import subprocess
import os
import time
import shlex
from ..config import sim_config
class Sim():
def __init__(self, port, time_till_timeout = sim_config.time_till_timeout):
'''
A Sim object starts and holds the donkeysim subprocess.
It must be pinged every time_till_timeout seconds with sel... | JBarmentlo/Self-Aware-Driving-Patate | srcs/simlaunch3000/src/modules/Sim.py | Sim.py | py | 2,910 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "config.sim_config.time_till_timeout",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "config.sim_config",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 24,
"usage_type": "call"
},
{
"api_... |
22835755 | import requests
from bs4 import BeautifulSoup
url = 'https://finance.yahoo.com/quote/MSFT/balance-sheet?p=MSFT'
page = requests.get(url)
page_content = page.content
soup = BeautifulSoup(page_content, 'html.parser')
table = soup.find_all('div', {'class': "M(0) Whs(n) BdEnd Bdc($seperatorColor) D(itb)"})
for t in table:... | JorgePCDV/pcdv-algo-trading | 1_getting_data/web_scraping.py | web_scraping.py | py | 450 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 7,
"usage_type": "call"
}
] |
4820033732 | """
867. Transpose Matrix
Given a 2D integer array matrix, return the transpose of matrix.
The transpose of a matrix is the matrix flipped over its main diagonal, switching the matrix's row and column indices.
Example1:
Input: matrix = [[1,2,3],[4,5,6],[7,8,9]]
Output: [[1,4,7],[2,5,8],[3,6,9]]
Example2:
Input: matr... | tkwang0530/LeetCode | 0867.py | 0867.py | py | 1,423 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "unittest.TestCase",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "unittest.main",
"line_number": 53,
"usage_type": "call"
}
] |
37710109667 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import cv2
import numpy as np
import glob
import filter
def remove_objects(img, lower_size=None, upper_size=None):
# find all objects
nlabels, labels, stats, centroids = cv2.connectedComponentsWithStats(img)
sizes = stats[1:, -1]
_img = np.zero... | oohara64531/image-process | remove_search.py | remove_search.py | py | 2,283 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cv2.connectedComponentsWithStats",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.bitwise_xor",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "cv2.coun... |
5758569430 | from typing import List, Optional, Tuple
class Node:
def __init__(self, key=None, value=None):
self.key = key
self.value = value
self.left = None
self.right = None
self.parent = None
class TreeMap:
def __init__(self):
self.root = None
self.length = 0
... | veronica-zdanovich/code-challenges-public | treeMap/tree_map.py | tree_map.py | py | 4,807 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.Tuple",
"line_number": 98,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 98,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 150,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line... |
25812080882 | import pandas as pd
df= pd.read_csv("Seed_Data.csv")
print(df.describe)
df.info()
X = df.iloc[:,0:7]
X.info()
y = df.iloc[:,7]
print(y.describe)
import sklearn
from sklearn import svm
from sklearn.svm import SVC
from sklearn.model_selection import train_test_split
X_train,X_test,y_train,y_test= trai... | yashpatil02121/PYTHON | sklearn/03_SVC model.py | 03_SVC model.py | py | 689 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.StandardScaler",
"line_number": 19,
"usage_type": "call"
... |
22809042967 | from typing import Union
from django.shortcuts import get_object_or_404
from rest_framework import permissions
from rest_framework.exceptions import PermissionDenied
from paasng.platform.applications.constants import ApplicationRole
from paasng.platform.applications.models import Application, ApplicationMembership
fr... | leafage-collb/bk-paas | apiserver/paasng/paasng/accounts/permissions/application.py | application.py | py | 6,325 | python | en | code | null | github-code | 18 | [
{
"api_name": "base.ProtectedResource",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "rest_framework.permissions",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "paasng.platform.applications.constants.ApplicationRole",
"line_number": 38,
"usage_type... |
4865626545 | """
Singly Linked List implementation in Python 3.10
Node: (the first node is called: head)
- data: data it stored in Node
- next_node: contains the reference to next node
LinkedLists are used as: queues/stacks/graphs
"""
from typing import Any
# Create a Node:
class Node:
"""
Class that creates each node
... | Sentymental/data-structures | linked_list/linked_list.py | linked_list.py | py | 2,975 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.Any",
"line_number": 21,
"usage_type": "name"
}
] |
911799987 | import wandb
import time
import numpy as np
NO_REWARD_VALUE = 1000
NO_POSITION_VALUE = 10000
def train(agent, env, config):
print("Starting training...")
update_timestep = config.update_multiplier * env.max_ep_length
debug = False
time_step = 0
# training loop
reward_times = np.ones(config.num_... | KachmanLab/PennWorldEnvironment | build/lib/TrainingLoops/train.py | train.py | py | 2,561 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.ones",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 24,
... |
16349787991 | from django.views.decorators.http import require_http_methods
from django.http import JsonResponse
from common.json import ModelEncoder
import json
from .models import InvVO, Technician, ServiceAppointment
class InvVOEncoder(ModelEncoder):
model = InvVO
properties = [
"VINVO", "VIP",
]
class Tech... | bmklei8p/motor-empire | service/api/service_rest/api_views.py | api_views.py | py | 3,137 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "common.json.ModelEncoder",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "models.InvVO",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "common.json.ModelEncoder",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "models.T... |
42864816880 | import logging
from django_gcp.tasks import OnDemandTask
from example.models import ERROR_STATUS, IN_PROGRESS_STATUS, FooFightingQuestion, FooFightingTest
logger = logging.getLogger(__name__)
class FooFightingTestTask(OnDemandTask):
"""An on-demand task to prepare and ask a question to foo-fighting-service
... | octue/exa | server/example/tasks.py | tasks.py | py | 2,167 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django_gcp.tasks.OnDemandTask",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "example.models.FooFightingTest.objects.get",
"line_number": 30,
"usage_type": "call"
},
... |
40980391011 | import time
import pandas as pd
from datetime import datetime
import numpy as np
from sklearn import preprocessing
import matplotlib
import matplotlib.pyplot as plt
import seaborn as sns
from scipy.stats import pearsonr
import os
from matplotlib.font_manager import FontProperties
from statistics import stdev
import... | nsfcac/gpupowermodel | archive/basic/pwrperf.py | pwrperf.py | py | 5,171 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "pwrcommon.readMetrics",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "matp... |
19470618472 | import os
import argparse
from render import *
def run_script(args):
steps = args.num_steps
env_name = args.env
seed = args.seed
if args.episodic:
train_beh = lambda x: "python3 ./BCQ/discrete_BCQ/main.py --env=" + str(env_name) + " --max_timesteps=" + str(x) + " --seed=" + str(seed) + " --epi... | shamith2/rl | AMD_Power_Scaling/scripts/rl_model/script.py | script.py | py | 2,541 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.system",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 27,
"usage_type": "call"
}
] |
25675318760 | #!/usr/bin/env python3
# По материалам интернета:
# https://habrahabr.ru/post/321834/
# https://blog.keras.io/building-powerful-image-classification-models-using-very-little-data.html
# Отключение предупреждений и информационных сообщений по уровням.
import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
# Отключение пред... | lizatish/DigitRecognizer | DigitRecognizer.py | DigitRecognizer.py | py | 7,471 | python | ru | code | 0 | github-code | 18 | [
{
"api_name": "os.environ",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "warnings.filterwarnings",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "keras.models.Sequential",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "keras.... |
29036691651 | import matplotlib.pyplot as plt
## scatter plots
x = [2, 4, 6, 8, 10]
y = [6, 7, 4, 2, 9]
plt.scatter(x, y, label="Sc1", color="r", marker="^")
plt.xlabel("X-axis")
plt.ylabel("Y-axis")
plt.title("Simple graph")
plt.legend()
plt.show()
| maddhruv/raw | matplotlib/scatter_plot.py | scatter_plot.py | py | 242 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "matplotlib.pyplot.scatter",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.xlabel",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "mat... |
75327309800 | from model.afnonet import BaseModel
import torch.nn as nn
import torch
from einops.layers.torch import Rearrange
from networks.utils.utils import DropPath, PatchEmbed
from functools import partial
class PatchEmbedAlignModel(BaseModel):
def __init__(self, low_level_img_size=None, low_level_patch_size=None,
... | veya2ztn/Seq2SeqAutoregressiveModel | model/CaptibUpModel/align_model.py | align_model.py | py | 2,326 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "model.afnonet.BaseModel",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "networks.utils.utils.PatchEmbed",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "networks.utils.utils.PatchEmbed",
"line_number": 17,
"usage_type": "call"
},
{... |
30410229767 | import torch
ALPHA = 0.8
GAMMA = 2
class DiceLoss(nn.Module):
def __init__(self, weight=None, size_average=True):
super(DiceLoss, self).__init__()
def forward(self, inputs, targets, smooth=1):
inputs = inputs.view(-1)
targets = targets.view(-1)
intersection = (inputs * targe... | VigneshS10/Segmentation-VGG19 | utils/losses.py | losses.py | py | 1,398 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "torch.sigmoid",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "torch.exp",
"line_number": 48,
"usage_type": "call"
}
] |
1814391990 | import matplotlib.pyplot as plt
from matplotlib.patches import Patch
color_evt = {
'offer received': 'red',
'offer viewed': 'blue',
'transaction': 'black',
'offer completed': 'yellow'
}
legend_elements = [
Patch(facecolor='red', label='offer received'),
Patch(facecolor='blue', label='offer vi... | 6one2/StarbucksChallenge | code/data_visualization.py | data_visualization.py | py | 1,834 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "matplotlib.patches.Patch",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matplotlib.patches.Patch",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "matplotlib.patches.Patch",
"line_number": 15,
"usage_type": "call"
},
{
"api_na... |
7248904844 | from cmath import sqrt
import scipy.linalg as la
x,y,z = 30,10,20
volume = 30*20*10
CUBE = [x,y,z]
STEEL = {
"yield": 350,
"elastic": 210000,
"shear":81000,
"poisson":0.3
}
ALUMINIUM = {
"yield": 270,
"elastic": 70000,
"shear":27000,
"poisson":0.3
}
# data points: ... | mbfak/MECH426 | maria_proj.py | maria_proj.py | py | 3,175 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cmath.sqrt",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "scipy.linalg.eig",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "scipy.linalg",
"line_number": 58,
"usage_type": "name"
}
] |
25096621653 | from snowflake.connector import DictCursor
def databases_get(self,env_database_prefix:str)->dict:
cur = self._conn.cursor(DictCursor)
query = "SHOW DATABASES like '" + env_database_prefix + "%' in ACCOUNT;"
data=[]
try:
cur.execute(query)
for rec in cur:
nw = {}
... | metaopslabs/snowflake_deployer | src/snowflake/functions/databases_get.py | databases_get.py | py | 735 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "snowflake.connector.DictCursor",
"line_number": 4,
"usage_type": "argument"
}
] |
331809252 | '''
Various utlity functions that are independant of any Django app or
model.
'''
from nturl2path import pathname2url as ntpathname2url
from nturl2path import url2pathname as url2ntpathname
import random
import re
import string
from unicodedata import normalize
from urllib.parse import urljoin, urlparse
from urllib.re... | RecursiveGreen/spradio-django2 | savepointradio/core/utils.py | utils.py | py | 6,367 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "string.ascii_letters",
"line_number": 47,
"usage_type": "attribute"
},
{
"api_name": "string.digits",
"line_number": 47,
"usage_type": "attribute"
},
{
"api_name": "string.punctuation",
"line_number": 47,
"usage_type": "attribute"
},
{
"api_name": "... |
31512021488 | import sys
import pygame
from settings import Settings
from ship import Ship
class AlienInvasion:
"""初始化游戏并创建游戏"""
def __init__(self):
pygame.init()
self.settings = Settings()
self.screen = pygame.display.set_mode((0, 0), pygame.FULLSCREEN)
self.settings.screen_wi... | wjyLearn/Learning-Python | practice_proj/AlienInvasion.py | AlienInvasion.py | py | 1,950 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pygame.init",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "settings.Settings",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pygame.display"... |
71426596520 | # This Python 3 environment comes with many helpful analytics libraries installed
# It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python
# For example, here's several helpful packages to load in
import numpy as np # linear algebra
import pandas as pd # data processing, CSV fil... | aorursy/new-nb-3 | fatmakursun_bike-sharing-feature-engineering.py | fatmakursun_bike-sharing-feature-engineering.py | py | 6,271 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.listdir",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",
"... |
15856630367 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
to compile fortran code, mk_fortran.f90:
try first this
f2py -c mk_fortran.f90 -m mankendall_fortran_repeat_exp2 --fcompiler=gfortran
if not try this
LDFLAGS=-shared f2py -c mk_fortran.f90 -m mankendall_fortran_repeat_exp2 --fcompiler=gfortran
"""
import pandas as ... | aspyk/vegeo_trend_analysis | time_series_reader.py | time_series_reader.py | py | 36,953 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pathlib.Path",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "pandas.Period",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "pandas.date_range",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "pandas.date_range",
... |
6051967724 |
#!/usr/bin/python
# -*- coding: UTF-8 -*-
import json as json
__author__ = 'Mx'
pinyin_analyzer={
"index" : {
"analysis" : {
"tokenizer" : {
"py" : {
"lowercase" : True,
"type" : "pinyin",
"keep_original" : False,
... | mmxmmy/NiceFilm | els/gen_mapping.py | gen_mapping.py | py | 4,010 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "json.dumps",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 87,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 100,
"usage_type": "call"
}
] |
28959545141 | # -*- coding: utf-8 -*-
import json
from pyload.core.utils import parse
from ..base.multi_downloader import MultiDownloader
class LeechThreeHundreedSixtyCom(MultiDownloader):
__name__ = "LeechThreeHundreedSixtyCom"
__type__ = "downloader"
__version__ = "0.01"
__status__ = "testing"
__pattern__... | pyload/pyload | src/pyload/plugins/downloaders/LeechThreeHundreedSixtyCom.py | LeechThreeHundreedSixtyCom.py | py | 1,461 | python | en | code | 3,038 | github-code | 18 | [
{
"api_name": "base.multi_downloader.MultiDownloader",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "json.loads",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "pyload.core.utils.parse.bytesize",
"line_number": 41,
"usage_type": "call"
},
{
... |
11964746438 | # -*- coding: utf-8 -*-
###############################################################################
###############################################################################
## ##
## ___ _ _ __ ____ ____ __ _ _ _____... | sammmlow/quadrant | scenarios/pointing_policy/plot_demo_results.py | plot_demo_results.py | py | 4,740 | python | en | code | 10 | github-code | 18 | [
{
"api_name": "matplotlib.pyplot.close",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "matplotlib.pypl... |
2648098143 | import numpy as np
from scipy import signal
def filterButterBP(y, fs, division, rangef):
"""
Pass-band Butterworth filter, 8th order, central frequencies given by "division"
y = array to be filtered
fs = sample rate
division = 1 for 1/3 octave filtering and = 0 for 1/1 octave filtering
"""
... | maiteatin/RIRPA-Software | Functions/filtroButter.py | filtroButter.py | py | 2,627 | python | en | code | 6 | github-code | 18 | [
{
"api_name": "numpy.array",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.power",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": ... |
70221846120 | import numpy as np
from six import string_types
import tensorflow as tf
DEFAULT_PADDING = 'SAME'
def layer(tf_op):
'''
Python装饰器的用法，具体教程看这个链接：
http://wiki.jikexueyuan.com/project/explore-python/Functional/decorator.html
装饰器的作用是：封装成可以组装的基本网络层（卷积、膨胀卷积、池化等），方便组装复杂网络
'''
def layer_decorated(self,... | CSsaan/Deep-learning-of-machine-vision | ch11.通用场景图像分割/DeepLab_TF/deeplab_resnet/network.py | network.py | py | 12,322 | python | en | code | 46 | github-code | 18 | [
{
"api_name": "tensorflow.placeholder_with_default",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "tensorflow.constant",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "te... |
71209354281 | from ..io.reader import BinaryFileReader
from .rsm import Rsm
from pprint import pprint
class RsmReader(object):
def __init__(self):
pass
@staticmethod
def from_file(path) -> Rsm:
with open(path, 'rb') as f:
rsm = Rsm()
reader = BinaryFileReader(f)
magic... | cmbasnett/io_scene_rsw | src/rsm/reader.py | reader.py | py | 3,610 | python | en | code | 11 | github-code | 18 | [
{
"api_name": "rsm.Rsm",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "io.reader.BinaryFileReader",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "rsm.anim_length",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "rsm.shade_typ... |
45509180934 | import os
import gym
import random
import argparse
import numpy as np
import tensorflow as tf
from networks import CartPoleNetwork
from self_play import self_play
from replay import ReplayBuffer
from config import get_cartpole_config
gpus = tf.config.experimental.list_physical_devices('GPU')
for gpu in gpus:
tf.co... | dummyindex/cmu-10703-reinforcement-learning | F22_10703_HW5/muzero_code_impl/main.py | main.py | py | 1,607 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "tensorflow.config.experimental.list_physical_devices",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tensorflow.config",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.config.experimental.set_memory_growth",
"line_number":... |
11943864064 | from flask import request, jsonify
from ..model.ItemOrcamento import ItemOrcamento, itemOrcamento_schema, itemOrcamentos_schema
from ..model.ItemOrcamento import db
def cad_itemOrcamento():
resp = request.get_json()
nome = resp['nome']
valor = resp['valor']
item = ItemOrcamento(nome=nome, valor=valor... | ogabrielfelipe/SGOM-Repository | app/controller/itemOrcamentoController.py | itemOrcamentoController.py | py | 2,114 | python | pt | code | 6 | github-code | 18 | [
{
"api_name": "flask.request.get_json",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.request",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "model.ItemOrcamento.ItemOrcamento",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "... |
15783734061 | import torch
import torch.nn as nn
import torch.nn.functional as F
from ..common.blocks import Conv2dReLU
from ..base.model import Model
from ..encoders.scse import SCse
class TransposeX2(nn.Module):
def __init__(self, in_channels, out_channels, use_batchnorm=True, **batchnorm_params):
super().__init__(... | okotaku/kaggle_Severstal | segmentation_models_pytorch/linknet/decoder.py | decoder.py | py | 4,614 | python | en | code | 16 | github-code | 18 | [
{
"api_name": "torch.nn.Module",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "torch.nn.ConvTranspose2d",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.nn",
... |
74455665960 | from selenium import webdriver
from selenium.webdriver.chrome.service import Service
from selenium.webdriver.common.by import By
from selenium.webdriver.common.action_chains import ActionChains
PATH = r"C:\Program Files (x86)\chromedriver.exe" # Path of the selenium driver
s = Service(executable_path=PATH)
driver = w... | merttcetn/cookie-clicker-automation | cookie_clicker.py | cookie_clicker.py | py | 1,187 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "selenium.webdriver.chrome.service.Service",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 8,
"usage_type": "name"
},
{
... |
26581114296 | import pathlib
from typing import List
import cv2
import h5py
import numpy as np
import typer
def split_text(txt: List[np.bytes_]) -> List[List[str]]:
"""テキストを文字単位に分割
Args:
txt (List[np.bytes_]): テキスト文字列の配列
Returns:
List[List[str]]: テキスト文字列の文字単位に分割した配列
"""
txt = [i.decode('utf-... | oq-Yuki-po/craft-tensorflow | src/dataset/synthtext.py | synthtext.py | py | 2,249 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "numpy.bytes_",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "numpy.stack",
"line_num... |
43919011651 | import codecs
import os
from setuptools import setup
from release_exporter.version import __version__
here = os.path.abspath(os.path.dirname(__file__)) + os.sep
def get_requirements(*parts):
return codecs.open(os.path.join(here, *parts), 'r').read().splitlines()
setup(
name='release-exporter',
version... | akshaybabloo/release-exporter | setup.py | setup.py | py | 1,430 | python | en | code | 23 | github-code | 18 | [
{
"api_name": "os.path.abspath",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.sep",
"line_number":... |
15929131247 | import os,sys
import numpy as np
import matplotlib
matplotlib.use('TkAgg')
import matplotlib.pyplot as plt
import pickle
from baselines import logger
import ppo
import gym
from train_ppo import *
import globals
from time import *
from utils.plotting_performance import *
from utils.utils import *
from brs_engine.Dubi... | SFU-MARS/reward-shaping-ttr | heatmap.py | heatmap.py | py | 8,431 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "matplotlib.use",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "numpy.pi",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "numpy.pi",
"line_number... |
45280891398 | import mlflow
import sys
sys.path.append("~/torch_study/paper/06_BERT/source")
from utils import *
from finetune.ner_bert import *
from finetune.dataset import *
import torch
import dill
import pytorch_lightning as pl
import mlflow.pytorch
from mlflow.tracking import MlflowClient
from pytorch_lightning.callbacks impor... | sigirace/elmo_clone | paper/06_BERT/source/finetune/trainer.py | trainer.py | py | 3,642 | python | en | code | null | github-code | 18 | [
{
"api_name": "sys.path.append",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "pytorch_lightning.LightningModule",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "to... |
41508763669 | import time
from node_bfs_class import node
import heapq as hq
from PIL import Image
import imageio
import numpy as np
import os
class graph:
"""a container structure for nodes"""
def __init__(self, map, watch_evolution=True):
self.map = [x.copy() for x in map]
self.pixel_array = [[(0,0,0) if ... | neilSchroeder/personal-projects | shortest_path_stargate/graph_bfs_class.py | graph_bfs_class.py | py | 5,851 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "node_bfs_class.node",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "heapq.heappush",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "heapq.heappop",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "heapq.heappush",
... |
38158503004 | import libusb1
import usb1
import time
import sys
from struct import *
from datetime import datetime
from mccUSB import *
class bth_1208LS(mccUSB):
"""
Settings memory map
|===========================================================================================|
| Address | Value ... | wjasper/Linux_Drivers | USB/python/bth_1208LS.py | bth_1208LS.py | py | 32,335 | python | en | code | 103 | github-code | 18 | [
{
"api_name": "sys.platform.startswith",
"line_number": 137,
"usage_type": "call"
},
{
"api_name": "sys.platform",
"line_number": 137,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime",
"line_number": 230,
"usage_type": "call"
},
{
"api_name": "libusb... |
69800611241 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
Created on Aug 5, 2016
@author: finetu
'''
from bs4 import BeautifulSoup
import hashlib
import json
import logging
import re
from scrapy.selector import Selector
from six import string_types
import xmltodict
import zorba_api
from web_crawler.items import WebTargetRes... | firemakergk/web_crawler | web_crawler/spiders/web_spider.py | web_spider.py | py | 11,314 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "web_crawler.scrapyredis.spiders.RedisSpider",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "zorba_api.InMemoryStore_getInstance",
"line_number": 29,
"usage_type": "cal... |
29149149701 | #-*-coding:utf-8 -*-
__author__ = 'Jy2881'
import numpy as np
import matplotlib.pyplot as plt
import multivariateGaussian as mG
def visualizeFit(X, mu, sigma2):
X1,X2 = np.meshgrid(np.arange(0,35,0.5),np.arange(0,35,0.5))
m,n = np.shape(X1)
a = X1.ravel().reshape(m*n,1)
Z = mG.multivariateGaussian(n... | jy2881/AndrewNg-ML-python | ex8/plot.py | plot.py | py | 924 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.meshgrid",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.shape",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "multivariateGaussian.multivaria... |
71426866280 | import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
df = pd.read_csv('../input/train.csv')
df.dropna(axis=0)
df.set_index('id', inplace = True)
df.head()
import re
from nltk.corpus import stopwords
stopWords = set(stopwords.words('english'))
#crea... | aorursy/new-nb-3 | gooogr_a-deep-dive-into-sklearn-pipelines-forked.py | gooogr_a-deep-dive-into-sklearn-pipelines-forked.py | py | 4,348 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwords.words",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwords",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "re.s... |
72143110119 | """Download Anime"""
# For USERGE-X
# (C) 2021 All Rights Reserved
# Idea by: [TG: @Lostb053]
# Author: (github.com/code-rgb) [TG: @DeletedUser420]
import asyncio
from urllib.parse import quote
from bs4 import BeautifulSoup as soup
from pyrogram import filters
from pyrogram.types import CallbackQuery, InlineKeyboar... | code-rgb/USERGE-X | userge/plugins/bot/gogo.py | gogo.py | py | 8,425 | python | en | code | 130 | github-code | 18 | [
{
"api_name": "userge.Message",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "userge.userge.has_bot",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "userge.userge",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "userge.userge... |
17773249909 | #!/usr/bin/env python
# This work is licensed under the terms of the MIT license.
# For a copy, see <https://opensource.org/licenses/MIT>.
"""
Module used to parse all the route and scenario configuration parameters.
"""
import json
import math
import xml.etree.ElementTree as ET
import sys
import carla
from agents.... | zaidtahirbutt/Situation-Coverage-based-AV-Testing-Framework-in-CARLA | scenario_runner-0.9.10/srunner/tools/route_parser.py | route_parser.py | py | 23,354 | python | en | code | 12 | github-code | 18 | [
{
"api_name": "json.loads",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree.parse",
"line_number": 80,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree",
"line_number": 80,
"usage_type": "name"
},
{
"api_name": "srunner.... |
29873972982 | import sys
from collections import deque
input = sys.stdin.readline
dr = [-1, 1, 0, 0]
dc = [0, 0, -1, 1]
R, C = map(int, input().split())
MAP = [list(map(int, input().split())) for _ in range(R)]
air = deque([[0, 0]])
q = deque()
visited = [[0] * C for _ in range(R)]
visited[0][0] = 1
# 처음부터 공기에 노출된 치즈 표면 저장
while... | essk13/Algorithm | 01_problem/python/2022/BAEKJOON/BAEKJOON_2636/2636_BAEKJOON.py | 2636_BAEKJOON.py | py | 1,614 | python | ko | code | 0 | github-code | 18 | [
{
"api_name": "sys.stdin",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "collections.deque",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "collections.deque",... |
28377068589 | #!/usr/bin/env python
# coding: utf-8
# In[ ]:
import pandas as pd
import numpy as np
from sklearn.pipeline import Pipeline
from sklearn.model_selection import train_test_split, GridSearchCV
from sklearn.ensemble import RandomForestClassifier
from sklearn.feature_extraction.text import CountVectorizer, TfidfVectoriz... | alirezakarimi82/Reddit_project | Modeling.py | Modeling.py | py | 3,716 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "sklearn.feature_extraction.text.CountVectorizer",
"line_number": 43,
"usage_type... |
37980871617 | import datetime
import database as d
def sumafecha(fecha,dias_repeticion):
fecha = fecha
Date = datetime.datetime.strptime(fecha, "%Y-%m-%d")
EndDate = str(Date + datetime.timedelta(days=dias_repeticion))[0:10]
a = datetime.datetime.strptime(EndDate, "%Y-%m-%d").date()
fechaactual= datetime... | manjaro1/python | function.py | function.py | py | 963 | python | es | code | 0 | github-code | 18 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "datetime.timedelta",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "dat... |
39960020383 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import glob
import itertools
import tempfile
from collections import Counter
import numpy as np
import tensorflow as tf
from pathlib import Path
from tensorflow.lite.python.op_hint import convert_op_hints_to_... | MiloslavPalaxo/tflite-lstm-text | sentiment-lite3.py | sentiment-lite3.py | py | 11,093 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "tensorflow.ConfigProto",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.shuffle",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "numpy.ra... |
14116310752 |
import os
import json
import uuid
import boto3
from porper.controllers.auth_controller import AuthController
class CognitoAuthController(AuthController):
def __init__(self, permission_connection=None, loglevel="INFO"):
AuthController.__init__(self, permission_connection, loglevel)
self.client =... | SungardAS/porper-core | porper/controllers/cognito_auth_controller.py | cognito_auth_controller.py | py | 3,316 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "porper.controllers.auth_controller.AuthController",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "porper.controllers.auth_controller.AuthController.__init__",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "porper.controllers.auth_controller.Au... |
11492167161 | from django.urls import path
from . import views
urlpatterns = [
path('api-item/', views.Home.as_view()),
path('api-item/<str:pk>/', views.Detail.as_view()),
path('<str:pk>/add_to_cart/', views.add_to_cart),
path('api-cart/', views.cart_view),
path('<str:pk>/rmone_from_cart/', views.remove_one_ite... | mohamedhw/djr-e | backend/store/urls.py | urls.py | py | 539 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
70406591721 | import pygame
import sys
from pygame.sprite import Group
from rain_function import create_rains
from rain_function import update_rains
class Screen_setting():
screen_width = 1000
screen_height = 800
screen_bg_color = (52, 52, 52)
# class Rain(Sprite):
# def __init__(self, screen):
# super().... | RyanLin1995/python | PythonLearning/小游戏/rain/rain_run.py | rain_run.py | py | 2,387 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pygame.init",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 61,
"usage_type": "attribute"
},
{
"api_name": "pygame.displa... |
42879108685 | import csv
import os
from django.core.management.base import BaseCommand
from reviews.models import Review
import sqlite3
# from django.db import connection
from django.conf import settings
class Command(BaseCommand):
help = 'The Zen of Python'
def handle(self, *args, **options):
list_files = {
... | sdvkam/api_yamdb | api_yamdb/reviews/management/commands/csv_to_base.py | csv_to_base.py | py | 1,435 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "dja... |
12862821765 | import pyrealsense2
from cv2 import cv2
import numpy as np
ImageNumber = 82
#change the following three lines for testing
image = cv2.imread(f".\\{ImageNumber}.jpg", cv2.IMREAD_UNCHANGED ) #path to rgb image
depthimg = np.array(cv2.imread(f".\\d{ImageNumber}.png", cv2.IMREAD_UNCHANGED )) #path to depth image
l... | vinesmsuic/Depth-Cameras | D435i_D455/RS_imageAnalysis.py | RS_imageAnalysis.py | py | 1,712 | python | en | code | 5 | github-code | 18 | [
{
"api_name": "cv2.cv2.imread",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.cv2",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "cv2.cv2.IMREAD_UNCHANGED",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"... |
22119663143 | import re
import json
file = 'class.txt'
# Dst-Site-Prefix: 10.225.76.164/32 DSCP: default [0] Traffic class id:59827542
p1 = re.compile(r'Dst-Site-Prefix:\s*(?P<dst_site_prefix>\S+)\s*DSCP:\s*(?P<dscp>\S*)')
# Clock Time: 14:16:10 (CDT) 08/05/2019
p2 = re.compile(r'\S*Clock\s*Time:\s*(?P<clock_t... | jbronikowski/pyATS_Examples | iWAN/class_parser.py | class_parser.py | py | 9,369 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "re.compile",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 16,
... |
10596093266 | import os
import io
import sys
import pickle
import random
import argparse
import subprocess
import numpy as np
import torch
import pandas as pd
from logging import getLogger
from itertools import permutations
from .logger import create_logger
MAIN_DUMP_PATH = os.path.join(os.path.dirname(os.path.dirname(os.path.rea... | hagait62/MWT | src/utils.py | utils.py | py | 6,008 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.join",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path.realpath",
"lin... |
7205897124 | from config.bd import app,bd,ma
class ProfesorPrograma(bd.Model):
__tablename__ = 'tblProfesorPrograma'
idProfesorPrograma = bd.Column(bd.Integer, primary_key=True)
profesorId = bd.Column(bd.Integer, bd.ForeignKey("tblProfesor.codigoProfesor"))
programaId = bd.Column(bd.Integer, bd.ForeignKey("tblProgr... | joslex9/Fianl-Final | Model/ProfesorPrograma.py | ProfesorPrograma.py | py | 668 | python | es | code | 0 | github-code | 18 | [
{
"api_name": "config.bd.bd.Model",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "config.bd.bd",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "config.bd.bd.Column",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "config.bd.bd",
... |
72685959720 | from unittest import TestCase
from hyperlink import URL
from minion import traversal
from minion.request import Request, Response
def path_view(request):
"""
A renderer (view) that returns a response with the request path.
Optionally adds a prefix to the front.
"""
path = b"/" + b"/".join(eac... | Julian/Minion | minion/tests/test_traversal.py | test_traversal.py | py | 4,656 | python | en | code | 6 | github-code | 18 | [
{
"api_name": "minion.request.Response",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "unittest.TestCase",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "minion.traversal.TreeResource",
"line_number": 23,
"usage_type": "call"
},
{
"api_name"... |
31137527760 | import numpy as np
import pickle
import time
import torch
from my_io import Vocabulary
import io
import argparse
def load_vectors(fname):
fin = io.open(fname, 'r', encoding='utf-8', newline='\n', errors='ignore')
n, d = map(int, fin.readline().split())
data = {}
for line in fin:
tokens = line.... | yuewang-cuhk/CMKP | unified_model/prepare_tw_glove_emb.py | prepare_tw_glove_emb.py | py | 3,640 | python | en | code | 21 | github-code | 18 | [
{
"api_name": "io.open",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.load",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.random.normal",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_numbe... |
3102810529 | #!/usr/bin/env python
import argparse
import hashlib
import json
from flask import Flask, jsonify, abort
import yaml
app = Flask(__name__)
wines = []
supplier_name = ''
@app.route('/api/wines/<string:wine_id>', methods=['GET'])
def get_wine(wine_id):
for wine in wines:
if wine.get('id') == wine_id:
... | kragniz/SE31520 | service/supplier.py | supplier.py | py | 1,815 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "flask.abort",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",
"line_numbe... |
71930785640 | import sys
from typing import List
from sklearn.metrics import mean_squared_error
import numpy as np
import cv2
from numpy.linalg import LinAlgError
import matplotlib.pyplot as plt
def myID() -> np.int:
"""
Return my ID (not the friend's ID I copied from)
:return: int
"""
return 2073... | appeldaniel1998/Image-Processing-Assignment-3 | ex3_utils.py | ex3_utils.py | py | 22,057 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.int",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "numpy.ndarray",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "cv2.filter2D",
"lin... |
70124766761 | import numpy as np
import pytest
from point_sort import PointSortTracker, track_dets
@pytest.fixture
def tracker_params():
return {
"max_age": 5,
"min_hits": 3,
"dist_threshold": 50,
}
def happy_path_test_data(
dim: int = 3, num_frame: int = 5, num_obj: int = 3, have_local_id: b... | Joilence/point-sort | tests/test_track_dets.py | test_track_dets.py | py | 3,788 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pytest.fixture",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "numpy.column_stack",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.column_stack... |
3597601064 | import requests
import re
from ncl.utils.common.singleton import Singleton
from ncl.utils.config.configuration import Configuration
from bs4 import BeautifulSoup
from bzgi.feed.dal.car_crawler_dal import CarCrawlerDal
from bzgi.model.vo.car_vo import CarVO
from bzgi.model.vo.elastic_search_vo import ElasticSearchComm... | salar12345/bazdeh-server-crawller | bzgi/feed/logic/car_crawler_logic.py | car_crawler_logic.py | py | 5,182 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "ncl.utils.common.singleton.Singleton",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "bzgi.feed.dal.car_crawler_dal.CarCrawlerDal",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "bzgi.model.vo.car_vo.CarVO.DIVAR_CAR_URL",
"line_number": 19... |
26447706530 | import subprocess
from collections import defaultdict
from multiprocessing import Pool
import math
import random
import pandas as pd
import numpy as np
import pysam
from celescope.tools import utils
from celescope.tools.step import Step, s_common
from celescope.flv_trust4.__init__ import CHAIN, REF_DIR, TOOLS_DIR
# ... | singleron-RD/CeleScope | celescope/flv_trust4/assemble.py | assemble.py | py | 10,332 | python | en | code | 71 | github-code | 18 | [
{
"api_name": "celescope.tools.step.Step",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "celescope.tools.step.Step.__init__",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "celescope.tools.step.Step",
"line_number": 46,
"usage_type": "name"
},
{... |
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