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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
9731647108 | #!/usr/bin/env python3
# GitHubScrap is a simple Python 3 script that automates GitHub OSINT during early stages of Red Team exercises
# author - mamatb (t.me/m_amatb)
# location - https://github.com/mamatb/GitHubScrap
# style guide - https://google.github.io/styleguide/pyguide.html
# TODO
#
# readme.md
# randomize d... | mamatb/GitHubScrap | GitHubScrap.py | GitHubScrap.py | py | 12,367 | python | en | code | 6 | github-code | 7 | [
{
"api_name": "sys.stderr",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "sys.stderr",
"line_number": 51,
"usage_type": "attribute"
},
{
"api_name": "sys.stderr",
"line_number": 56,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line... |
23684249485 | import numpy as np
import cv2
from keras.models import load_model
#############################################
frameWidth = 640 # Resolución de la cámara
frameHeight = 480
brightness = 180
umbral = 0.85 # Umbral
font = cv2.FONT_HERSHEY_SIMPLEX #Tipo de fuente de la letra
#Ejecutar la cámara
cap = cv2.VideoCaptu... | IsmaelRH1807/ComputerVision_TrafficSignRecognition | Senales_test.py | Senales_test.py | py | 2,483 | python | es | code | 0 | github-code | 7 | [
{
"api_name": "cv2.FONT_HERSHEY_SIMPLEX",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "keras.models.load_model",
"line_number": 23,
"usage_type": "call"
},
{
"api_name":... |
24518187148 | # -*- coding: utf-8 -*-
#
# This file is subject to the terms and conditions defined in
# file 'LICENSE.txt', which is part of this source code package.
#
#
import os
from mpi4py import MPI
if MPI.COMM_WORLD.Get_size() > 1: # pragma: no cover
os.environ["OMP_NUM_THREADS"] = "1"
os.environ["OPENBLAS_NUM_THREADS... | feelpp/mordicus | src/poc-1/src/Mordicus/Modules/Safran/Containers/Loadings/Temperature.py | Temperature.py | py | 8,538 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "mpi4py.MPI.COMM_WORLD.Get_size",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "mpi4py.MPI.COMM_WORLD",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "mpi4py.MPI",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "... |
188231977 | # QuTiP Utility Functions
# Dec 24, 2015
# Deepak Vaid
import numpy as np
import matplotlib.pyplot as plt
from qutip import *
try:
from qutip import *
except:
raise NameError('QuTiP is not installed')
def identityList(N = 1,dims = 2):
'''Returns a list of N identity operators for a N site spin-system wit... | space-cadet/jupyter-notebooks | qutip_utils.py | qutip_utils.py | py | 14,839 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "numpy.sqrt",
"line_number": 113,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": 118,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 118,
"usage_type": "attribute"
},
{
"api_name": "qutip.dag",
"line_number": ... |
8337140285 | #!/usr/bin/env python3
import singer
from singer import utils
from tap_intercom.discover import discover
from tap_intercom.sync import sync
LOGGER = singer.get_logger()
REQUIRED_CONFIG_KEYS = [
'access_token',
'start_date',
'user_agent'
]
def do_discover():
LOGGER.info('Starting discover')
cat... | singer-io/tap-intercom | tap_intercom/__init__.py | __init__.py | py | 981 | python | en | code | 12 | github-code | 7 | [
{
"api_name": "singer.get_logger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "tap_intercom.discover.discover",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "singer.utils.parse_args",
"line_number": 31,
"usage_type": "call"
},
{
"api_name"... |
38159367989 | import tkinter as tk
import numpy as np
from keras.models import load_model
# Constantes
MIN_VALUE: float = 75000.0
MAX_VALUE: float = 7700000.0
def recover_value(v: float) -> float:
return v * (MAX_VALUE - MIN_VALUE) + MIN_VALUE
# Model
model = load_model("model.h5")
# Interface
# Create the ... | KingOat/Linear-Regression-House-Price-Predictor-With-GUI | graphic_interface.py | graphic_interface.py | py | 2,005 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "keras.models.load_model",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "tkinter.Tk",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "tkinter.Label",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "tkinter.Entry",
... |
6803786489 | import discord
from discord.ext import commands
from config import Config
import random
import os
bot = commands.Bot(command_prefix='!')
@bot.command(pass_context=True)
async def greet(ctx):
user = ctx.message.author.name
await ctx.send(f'Hello {user}')
@bot.command()
async def users(ctx):
listOfUsers = ... | Sakub/SkbDiscordBot | app.py | app.py | py | 2,015 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "discord.ext.commands.Bot",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "discord.utils.find",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "discor... |
31570312574 | import json
import logging.config
from functools import partial
import traceback
from pathlib import Path
from pydicom import dcmread
from pydicom.dataset import Dataset
from pynetdicom import AE, StoragePresentationContexts, evt
from pynetdicom import sop_class
from database import MyPACSdatabase
import adapter
cl... | pyb0924/MyPACS | MyPACSServer/server.py | server.py | py | 6,810 | python | en | code | 4 | github-code | 7 | [
{
"api_name": "pynetdicom.AE",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "json.load",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pynetdicom.StoragePresentationContexts",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "pynetd... |
70882954785 | # A Python program to print topological sorting of a graph
# using indegrees
from collections import defaultdict
# Class to represent a graph
class Graph:
def __init__(self, vertices):
self.graph = defaultdict(list) # dictionary containing adjacency List
self.V = vertices # No. of verti... | kalpak92/DataStructures_Algorithms | Graph Algorithms/Topological Sort/TopologicalSort.py | TopologicalSort.py | py | 2,353 | python | en | code | 14 | github-code | 7 | [
{
"api_name": "collections.defaultdict",
"line_number": 9,
"usage_type": "call"
}
] |
13793261912 | """ Creates plots in matplotlib from reticulated input from R in order to
make nice plots with good control.
"""
import numpy as np
import pandas as pd
import matplotlib
import matplotlib.pyplot as plt
import seaborn as sb
from sklearn.preprocessing import scale
import scripts.utils.helpers as hs
def density_plot(... | BiomedicalMachineLearning/Medulloblastoma | scripts/X2_DEAnalysis/DE_figure_helpers.py | DE_figure_helpers.py | py | 7,346 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "matplotlib.rcParams.update",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "matplotlib.rcParams",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 29,
"usage_type": "call"
},
{
"ap... |
9965192846 | import logging
from pathlib import Path
from asr.datasets.custom_audio_dataset import CustomAudioDataset
from asr.text_encoder.ctc_text_encoder import CTCTextEncoder
from asr.utils.parse_config import ConfigParser
logger = logging.getLogger(__name__)
class CustomDirAudioDataset(CustomAudioDataset):
def __init__... | khaykingleb/Automatic-Speech-Recognition | asr/datasets/custom_dir_audio_dataset.py | custom_dir_audio_dataset.py | py | 1,333 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "asr.datasets.custom_audio_dataset.CustomAudioDataset",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 15,
"usage_type": "call"
},
{
... |
42836425407 | import copy
from lib.membase.api.rest_client import RestConnection
from pytests.eventing.eventing_base import EventingBaseTest
from pytests.eventing.eventing_constants import HANDLER_CODE, HANDLER_CODE_CURL
from lib.testconstants import STANDARD_BUCKET_PORT
from lib.couchbase_helper.tuq_helper import N1QLHelper
from s... | couchbaselabs/testrunner-py3 | pytests/eventing/eventing_curl.py | eventing_curl.py | py | 9,421 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pytests.eventing.eventing_base.EventingBaseTest",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "lib.testconstants.STANDARD_BUCKET_PORT",
"line_number": 30,
"usage_type... |
29039721920 | from __future__ import annotations
from aoc import *
from typing import NamedTuple, Optional
from itertools import combinations
class Thing(NamedTuple):
is_chip: bool
element: str
def as_generator(self):
return Thing(False, self.element) if self.is_chip else self
class ThingList(NamedTuple):
... | tkirill/adventofcode | 2016/python/11_Radioisotope_Thermoelectric_Generators.py | 11_Radioisotope_Thermoelectric_Generators.py | py | 4,211 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "typing.NamedTuple",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "typing.NamedTuple",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "itertools.combinations",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "typing.Name... |
74108084702 | # -*- coding: utf-8 -*-
"""
Created on Tue Mar 17 17:47:31 2020
@author: hawki
"""
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
xtrn = torch.FloatTensor([[73,80,75],
[93,88,93],
[89,91,90],
... | hawking74/Moning | Lab 04-1. Multi var. linear regression.py | Lab 04-1. Multi var. linear regression.py | py | 1,727 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "torch.FloatTensor",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.FloatTensor",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.zeros",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torch.zeros",
"li... |
42919481752 | #!/usr/bin/env python
# coding: utf-8
import os
import codecs
from setuptools import setup, find_packages
import ibclient
def parse_requirements(filename):
with open(filename) as f:
required = f.read().splitlines()
return required
long_desc = """
IBClient
===============
A Pytho... | chrjxj/ibclient | setup.py | setup.py | py | 1,413 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "setuptools.setup",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "ibclient.__version__",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "setuptools.find_packages",
"line_number": 43,
"usage_type": "call"
}
] |
7266921103 | import copy
import torch as th
import numpy as np
import torch.nn.functional as F
from modules.mixers.dmaq_general import DMAQer
from components.episode_buffer import EpisodeBatch
from modules.mixers.dmaq_qatten import DMAQ_QattenMixer
from torch.optim import RMSprop
from torch.utils.data.sampler import BatchSampler, ... | lich14/CDS | CDS_GRF/learners/CDS_QPLEX.py | CDS_QPLEX.py | py | 22,996 | python | en | code | 75 | github-code | 7 | [
{
"api_name": "modules.mixers.dmaq_general.DMAQer",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "modules.mixers.dmaq_qatten.DMAQ_QattenMixer",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 32,
"usage_type": "call"
... |
7046185133 |
import logging
import os
import numpy as np
import torch
import torch.optim as optim
from torch.autograd import Variable
from tqdm import tqdm
import utils
import model.crnn as crnn
from model import data_loader
from evaluate import evaluate
import matplotlib.pyplot as plt
import torch.nn as nn
import pandas as pd
... | Saahil-Agr/ElNino-Forecasting | train.py | train.py | py | 7,600 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "model.crnn.train",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "model.crnn",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "tqdm.tqdm",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "model.crnn",
"line_number":... |
2291295499 | """Example of a TensorBoard dynamic plugin."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import mimetypes
import os
from tensorboard.plugins import base_plugin
from werkzeug import wrappers
class ReactPlugin(base_plugin.TBPlugin):
"""WebpackReact ... | stephanwlee/tensorboard-plugin-react-example | tensorboard_plugin_react/react_plugin.py | react_plugin.py | py | 1,795 | python | en | code | 5 | github-code | 7 | [
{
"api_name": "tensorboard.plugins.base_plugin.TBPlugin",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "tensorboard.plugins.base_plugin",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "mimetypes.guess_type",
"line_number": 40,
"usage_type": "ca... |
37448621564 | import pytest
import abjad
def test_get_duration_01():
"""
Container duration in seconds equals sum of leaf durations in seconds.
"""
staff = abjad.Staff("c'8 d'8 e'8 f'8")
mark = abjad.MetronomeMark(abjad.Duration(1, 4), 38)
abjad.attach(mark, staff[0])
mark = abjad.MetronomeMark(abjad.... | tastethewhip/abjad | tests/test_get_duration.py | test_get_duration.py | py | 2,224 | python | en | code | null | github-code | 7 | [
{
"api_name": "abjad.Staff",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "abjad.MetronomeMark",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "abjad.Duration",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "abjad.attach",
"li... |
20571093508 | import os
import json
import logging
import opencryptobot.constants as con
from argparse import ArgumentParser
from opencryptobot.database import Database
from opencryptobot.telegrambot import TelegramBot
from opencryptobot.config import ConfigManager as Cfg
from logging.handlers import TimedRotatingFileHandler
clas... | Endogen/OpenCryptoBot | opencryptobot/start.py | start.py | py | 5,296 | python | en | code | 89 | github-code | 7 | [
{
"api_name": "opencryptobot.config.ConfigManager",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "opencryptobot.database.Database",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "opencryptobot.telegrambot.TelegramBot",
"line_number": 33,
"usage_type... |
42698998593 | import json
with open('Datasets/source-data.json') as aj:
read_content = json.load(aj)
save_data = []
def data_access():
question_access = read_content['results']
for question_data in question_access:
#print(question_data)
replies_access = question_data['replies']
for replies_dat... | yeja94/PythonExercises | data_access_json.py | data_access_json.py | py | 666 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "json.load",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 22,
"usage_type": "call"
}
] |
32524697671 | import matplotlib.pyplot as plt
"""
x = [24.45,44.45,47.36,51.795]
y = [0.351,0.162,0.175,0.1076]
plt.plot(x, y, label = "line 1")
"""
#neu
x = [44.77,57.11,59.06,62.57]
y = [0.351,0.162,0.175,0.1076]
plt.plot(x, y, label = "Relationship GTM score and detection accuracy")
x1 = [44.77,62.57]
y1 = [0.35,0.... | radtklau/Image-annotation-tooling-object-detection | HOTA_GTM.py | HOTA_GTM.py | py | 894 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "matpl... |
27586395672 | #!/usr/bin/env python3
"""Fetch RSS and post it to Slack channel.
2017/Sep/03 @ Zdenek Styblik <stybla@turnovfree.net>
"""
import argparse
import logging
import os
import sys
import time
import traceback
from typing import Dict, List, Tuple
import rss2irc
from slack import WebClient
SLACK_BASE_URL = WebClient.BASE_U... | zstyblik/rss2irc | rss2slack.py | rss2slack.py | py | 6,426 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "slack.WebClient.BASE_URL",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "slack.WebClient",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "typing.Dic... |
6836098830 | #!/usr/bin/env python
# coding=utf-8
#!C:\Python27\python.exe
from k8s import Connection
from kuby import Kuby
import argparse
class Main():
def get_args():
parser = argparse.ArgumentParser()
parser.add_argument('--server',
required=True,
... | rocko83/terra | terra/src/main.py | main.py | py | 1,627 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "kuby.Kuby",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "k8s.getPodLog",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "k8s.getPodContainers"... |
34896037583 | import connexion
import six
import random
import logging
from os import path
from flask import g
from flask import abort
from datetime import datetime
from coolname import RandomGenerator
from playhouse.flask_utils import get_object_or_404
from coolname.loader import load_config
import hashlib
from config... | Kl0ven/rpg-api | rpg_api/controllers/lootbox_controller.py | lootbox_controller.py | py | 3,028 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "rpg_api.models.database.database.atomic",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "rpg_api.models.database.database",
"line_number": 35,
"usage_type": "attribute"... |
72411763422 | import time
import os
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium import webdriver
from selenium.webdriver.common.by import By
os.environ['PATH'] += r"C:/Users/ASUS/Documents/pyprojects/seleniumdrivers"
url = "https://www.bbcg... | Woodenman23/RECIPE_BOOK | scraping/click.py | click.py | py | 809 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.environ",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "selenium.webdriver.Firefox",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "selenium... |
3687739055 | from functools import cache
# iterative dp solution
class Solution:
def isInterleave(self, s1: str, s2: str, s3: str) -> bool:
l1, l2 = len(s1), len(s2)
if l1 + l2 != len(s3):
return False
if l2 > l1:
s1, l1, s2, l2 = s2, l2, s1, l1
dp = [False] * (l2 + 1)... | Vskesha/learning-modules | leetcode_solutions/p97_interleaving_string.py | p97_interleaving_string.py | py | 1,560 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "functools.cache",
"line_number": 38,
"usage_type": "name"
}
] |
39650254814 | import matplotlib.pyplot as plt
import numpy as np
import argparse
import json
'''
Given multiple benchmark data, compare them and plot the result
'''
if __name__ == "__main__":
benchmark_results = ["190225_lstm_sklearn_n_threads_1_tlimit_100.json", "190225_simple_sklearn_n_threads_1_tlimit_100.json"]
re... | HazyResearch/d3m-model-search | Stanford-D3M-Full/apps/compare_benchmarks.py | compare_benchmarks.py | py | 1,087 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "json.load",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "numpy.maximum.... |
32168695093 | import argparse
import os
import utils.utils as utils
import numpy as np
from PIL import Image
import shutil
def save_files(dst_path,files):
src_path = files['root']
file_type = files['file_type']
for file in files['files']:
src_f = os.path.join(src_path,file) + '.' + file_type
#img... | Cybonic/ortho-tools | pair_selection.py | pair_selection.py | py | 2,653 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.path.join",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 1... |
38883795749 | from setuptools import setup, find_packages
with open("README.rst") as fp:
long_description = fp.read()
setup(
name="pykube",
version="0.12.0",
description="Python client library for Kubernetes",
long_description=long_description,
author="Eldarion, Inc.",
author_email="development@eldari... | mechaphish/pykube | setup.py | setup.py | py | 842 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "setuptools.setup",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 26,
"usage_type": "call"
}
] |
29299769653 | from flask import Flask, render_template, request,jsonify
import pickle
from sklearn.preprocessing import LabelEncoder, StandardScaler
app = Flask(__name__)
model=''
label_encoder_year=''
label_encoder_count=''
scaler=''
# Load the trained model
with open('./model.pkl', 'rb') as file:
model = pickle.loa... | Be-anish/Mental-Fitness-Tracker | app.py | app.py | py | 3,045 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 1... |
2922323619 | import unittest
from models.base import Base
from models.rectangle import Rectangle
import io
import sys
"""tests the subclass Rectangle"""
class testRectangleClass(unittest.TestCase):
"""test whether the rectangle is an instance of the Base class"""
def test_rect_instances(self):
r1 = Rectangle(10, 2... | JuneMbuvi/alx-higher_level_programming | 0x0C-python-almost_a_circle/tests/test_rectangle.py | test_rectangle.py | py | 5,049 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "unittest.TestCase",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "models.rectangle.Rectangle",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "models.base.Base",
"line_number": 13,
"usage_type": "argument"
},
{
"api_name": ... |
20985030856 | import os
import time
import copy
import torch
import torchvision
import pandas as pd
import numpy as np
import torch.nn as nn
import torch.optim as optim
from torch.optim import lr_scheduler
from torch.utils.data import Dataset, DataLoader
from torchvision import transforms, models, datasets
import torch.nn.functional... | cwha0212/posenet_pkg | posenet_pkg/node_data_loader.py | node_data_loader.py | py | 1,484 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "torchvision.transforms.Compose",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 50,
"usage_type": "name"
},
{
"ap... |
72859898142 | import os.path as osp
from PIL import Image
from torch.utils.data import Dataset
def read_image(img_path):
"""Keep reading image until succeed.
This can avoid IOError incurred by heavy IO process."""
got_img = False
if not osp.exists(img_path):
raise IOError("{} does not exist".format(img_path... | Ascend/ModelZoo-PyTorch | PyTorch/contrib/cv/classification/ReidStrongBaseline/data/datasets/dataset_loader.py | dataset_loader.py | py | 1,087 | python | en | code | 31 | github-code | 7 | [
{
"api_name": "os.path.exists",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": ... |
2387613491 | import sys
import os
from pyspark.sql import types as T
from pyspark.sql import functions as F
from pyspark.sql import SparkSession
sys.path.append(os.path.join(os.path.dirname(os.path.abspath(__file__)), os.pardir, os.pardir))
from src.transform_api import configure, transform, Input, Output, DataType, SaveMode
# sc... | kripso/climathon-fiit-re | src/data_processing/migrate_addresses_dateset.py | migrate_addresses_dateset.py | py | 1,362 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "sys.path.append",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
33978938523 | # -*- coding: utf-8 -*-
import logging
import signal
import sys
import codecs
import os
import mamonsu.lib.platform as platform
from mamonsu.lib.parser import parse_args, print_total_help
from mamonsu.lib.config import Config
from mamonsu.lib.supervisor import Supervisor
from mamonsu.lib.plugin import Plugin
from mam... | gridl/mamonsu | mamonsu/lib/runner.py | runner.py | py | 3,256 | python | en | code | null | github-code | 7 | [
{
"api_name": "logging.info",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "signal.signal",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "signal.SIGTERM",
"line_number... |
70723626465 | import os
import re
import time
from datetime import timedelta, timezone, datetime
from flask_wtf.csrf import CSRFProtect
from flask_cors import CORS
from flask import Flask, render_template, request, jsonify, redirect, url_for, make_response
from flask_jwt_extended import JWTManager, create_access_token, verify_jwt_... | GitYVR/yvrfob | app.py | app.py | py | 9,867 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "flask.Flask",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "flask_wtf.csrf.CSRFProtect",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "yvrfob.secrets.SECRET_KEY",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "date... |
22202610850 | from sklearn.decomposition import KernelPCA
from sklearn.decomposition import PCA
from sklearn.discriminant_analysis import LinearDiscriminantAnalysis
from matplotlib import pyplot
class Decomposition:
"""
Constructor
"""
def __init__(self):
self.lda = None
self.kpca = None
se... | efikalti/computational-intelligence | SVM/src/decomposition.py | decomposition.py | py | 5,251 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sklearn.decomposition.KernelPCA",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "sklearn.discriminant_analysis.LinearDiscriminantAnalysis",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "sklearn.discriminant_analysis.LinearDiscriminantAnalysis... |
2811856230 | #import smtplib
#my_email = "dimitrov22@yahoo.com"
#password = ""
#with smtplib.SMTP("smtp.mail.yahoo.com") as connection:
#connection.starttls()
#connection.login(user=my_email, password=password)
#connection.sendmail(from_addr=my_email,
#to_addrs="stefan.dimitrov.dimitrov@gmail.c... | StefanDimitrovDimitrov/100_days_Python | 32-day - SMTP/Birthday Wisher (Day 32) start/main.py | main.py | py | 564 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "datetime.datetime.now",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime",
"line_number": 19,
"usage_type": "call"
}
] |
12910016605 | from setuptools import setup, find_packages
import sys, os
version = '0.1.4'
setup(name='maclocate',
version=version,
description="Python interface to the SkyHook wireless API",
long_description="""\
""",
classifiers=[], # Get strings from http://pypi.python.org/pypi?%3Aaction=list_classifiers... | iancmcc/maclocate | setup.py | setup.py | py | 843 | python | en | code | 9 | github-code | 7 | [
{
"api_name": "setuptools.setup",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 17,
"usage_type": "call"
}
] |
30526412438 | import sqlite3
# 전역 변수 선언
db, cur = None, None # 연결자, 커서를 저장하는 변수 초기화
# 테이블 삭제
def saveType(addTitle, addSec, addMsec, addtype):
db = sqlite3.connect("./alarmDB") # db, sqlite 연결
cur = db.cursor() # db 명령어 연결
# db.execute("DROP TABLE studentTable")
# 테이블 있는지 확인
cur.execute("... | olsi10/peo-ddeug | Normal/app.py | app.py | py | 1,130 | python | ko | code | 0 | github-code | 7 | [
{
"api_name": "sqlite3.connect",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 30,
"usage_type": "call"
}
] |
37589136404 |
from numpy import zeros
from numpy.random import random
from numpy import column_stack
from numpy import sort
from numpy import cos
from numpy import sin
from numpy import pi
from modules.helpers import random_points_in_circle
TWOPI = 2*pi
def get_rnd_circ(noise):
def f(self):
a = sort((random() + random(self... | maryannh/sand-creatures | modules/paths.py | paths.py | py | 1,724 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "numpy.pi",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "numpy.sort",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.random.random",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.column_stack",
"lin... |
26868932413 | import logging
from typing import Any, MutableMapping, Optional
from cloudformation_cli_python_lib import (
Action,
HandlerErrorCode,
OperationStatus,
ProgressEvent,
Resource,
SessionProxy,
)
from datadog_api_client.v2 import ApiException
from datadog_api_client.v2.api.downtimes_api import Down... | DataDog/datadog-cloudformation-resources | datadog-monitors-downtimeschedule-handler/src/datadog_monitors_downtimeschedule/handlers.py | handlers.py | py | 16,674 | python | en | code | 47 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "cloudformation_cli_python_lib.Resource",
"line_number": 81,
"usage_type": "call"
},
{
"api_name": "models.ResourceModel",
"line_number": 81,
"usage_type": "argument"
},
{
... |
4394019927 | import sys
import json
from api.delete_ocr_resource import DeleteUAIOcrResourceApi
# usage: python create_async_toframe_job.py config_file='controller-config.json'
def load_config(config_file):
with open(config_file, 'r') as fp:
config_params = json.loads(fp.read())
public_key = config_params['public_... | ucloud/uai-saas-sdk | uai-ocr-sdk/test/delete_ocr_resource.py | delete_ocr_resource.py | py | 766 | python | en | code | 4 | github-code | 7 | [
{
"api_name": "json.loads",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "api.delete_ocr_resource.DeleteU... |
24197974782 | import cv2
import numpy as np
class Helper:
"""
Helper class for image operations.
"""
@staticmethod
def apply_transparency_mask(image):
"""
Sets any black pixels to transparent.
:param image: Image to set transparency
:type image: numpy.ndarray
... | steelwalrus/tileset-cli | helper.py | helper.py | py | 1,214 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "cv2.split",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "cv2.merge",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.all",
"line_number": 27,
... |
38328297357 | import numpy as np
import scipy as sp
import pandas as pd
import matplotlib
import matplotlib.pyplot as plt
import seaborn as sns
matplotlib.use('TkAgg')
data = pd.read_csv('../data/2015.csv')
fig, ax = plt.subplots()
fig.patch.set_visible(False)
ax.axis('off')
# print(by_region)
""" Question: What is most important ... | albertye1/np-sp-pd | happiness/src/most_related.py | most_related.py | py | 885 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "matplotlib.use",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib.py... |
36738910857 | import pickle, os
from spectraclass.data.base import DataManager
from spectraclass.data.base import ModeDataManager
from spectraclass.model.labels import LabelsManager, lm
from spectraclass.data.spatial.tile.manager import TileManager, tm
from spectraclass.data.spatial.tile.tile import Block
import xarray as xa, numpy ... | nasa-nccs-cds/spectraclass | spectraclass/test/samples_test.py | samples_test.py | py | 2,191 | python | en | code | 4 | github-code | 7 | [
{
"api_name": "spectraclass.data.base.DataManager",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "spectraclass.data.base.DataManager.initialize",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.expanduser",
"line_number": 16,
"usage_type": "c... |
19547871309 | from collections import Counter
def solution(a):
if len(a) < 4:
return 0
counter = Counter(a)
answer = 0
for x in counter.keys():
if counter[x] < answer:
continue
i = 0
cnt = 0
while i < len(a) - 1:
if (a[i] == a[i + 1]) or (a[i] != x and ... | MinHoon-LEE/Ps_Sql | Programmers/Algorithm/Python/70130/70130.py | 70130.py | py | 482 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "collections.Counter",
"line_number": 6,
"usage_type": "call"
}
] |
33766589977 | import datetime
from django.shortcuts import render, redirect
from googleapiclient.discovery import build
from smir.models import UserCredentials
from .mqtt import client
from .utils import refresh_token
def index(request):
if request.user.is_authenticated:
try:
UserCredentials.objects.get(u... | mahooly/Smart_Mirror | smir/views.py | views.py | py | 2,229 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "smir.models.UserCredentials.objects.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "smir.models.UserCredentials.objects",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "smir.models.UserCredentials",
"line_number": 14,
"usage_... |
17600168883 | """
Author: Steve
Resource: http://www.steves-internet-guide.com/client-connections-python-mqtt/
"""
import time
import json
import sys
import getopt
import paho.mqtt.client as mqtt
def test_latency(broker_name, port_num, TLS_service, path, QOS):
mqttclient_log = True
max_connection_time = 6 # if not conne... | ShiluYang96/Mqtt-file-transfer | mqtt_ping.py | mqtt_ping.py | py | 6,968 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "json.loads",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "paho.mqtt.client.Client",
"line_number": 65,
"usage_type": "attribute"
},
{
"api_name": "paho.mqtt.client",
"line_number": 65,
"usage_type": "name"
},
{
"api_name": "paho.mqtt.cl... |
40949893349 | #!/usr/bin/python3
# -*- coding: utf-8 -*-
import matplotlib.pyplot as plt
import numpy as np
#讀取 訓練/驗證 資料
x_val = np.load('x_validation.npy')
x_train = np.load('x_train.npy')
y_val = np.load('y_validation.npy')
y_train = np.load('y_train.npy')
#增加一行1 對齊bias term
x_val = np.concatenate((np.ones((x_val.shape[0], 1)), ... | YLTsai0609/Air_quality_project-with-pm25 | pm25/model_selcetion.py | model_selcetion.py | py | 1,199 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "numpy.load",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 9,
... |
73391440543 | """
@Author Jordan Dubreuil 04/23/2023
Unit testing for Dequeque Abstract Data Type.
"""
from dequeue import *
import unittest
import io
import sys
from unittest.mock import patch
class TestDequeque(unittest.TestCase):
# Tests Display of Dequeque
def test_display(self):
my_instance = Dequeque()
... | jdubreuil00/FoundationsOfProgrammingJDubreuil | A6/test_dequeue.py | test_dequeue.py | py | 1,564 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "unittest.TestCase",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "io.StringIO",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "sys.stdout",
"... |
38558763053 | import re
from pathlib import Path
regex = re.compile(r'(^---\n\n)', flags=re.M)
for rmd_pth in Path().glob('*.Rmd'):
contents = rmd_pth.read_text()
if '_common.R' in contents:
continue
if regex.search(contents):
contents = regex.sub("""\
---
```{r setup, include=FALSE}
source("_common.R"... | resampling-stats/throwaway-scripts | add_common.py | add_common.py | py | 379 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "re.compile",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "re.M",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"line_number": 6,
"usage_type": "call"
}
] |
4167707596 | """
homeassistant.components.alarm_control_panel
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Component to interface with a alarm control panel.
"""
import logging
import os
from homeassistant.components import verisure
from homeassistant.const import (
ATTR_ENTITY_ID, SERVICE_ALARM_TRIGGER,
SERVICE_ALARM_DISA... | hcchu/home-assistant-clone | homeassistant/components/alarm_control_panel/__init__.py | __init__.py | py | 4,052 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "homeassistant.components.verisure.DISCOVER_SENSORS",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "homeassistant.components.verisure",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "homeassistant.const.SERVICE_ALARM_DISARM",
"line_nu... |
27675103805 | from django.conf.urls import url
from .views import (
InvoiceCreateAPIView,
InvoiceListAPIView
)
urlpatterns = [
url(r'^$', InvoiceListAPIView.as_view(), name='list-invoices'),
url(r'^create-invoice/$', InvoiceCreateAPIView.as_view(), name='create-invoice'),
]
| glosoftgroup/glosoftgroup-django-pos | saleor/api/invoice/urls.py | urls.py | py | 295 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "django.conf.urls.url",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "views.InvoiceListAPIView.as_view",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "views.InvoiceListAPIView",
"line_number": 10,
"usage_type": "name"
},
{
"ap... |
24682997971 | __copyright__ = "Copyright (C) 2019 NXP Semiconductors"
__license__ = "MIT"
from django.contrib import admin
from .models import ImageDatabase, LogsDatabase
class Image(admin.ModelAdmin):
fields = (
'id',
'name',
'face',
'thumbnail'
)
readonly_fields = (
'id',
... | nxp-imx-support/eiq-heterogenous-cortexa | Recognition/admin.py | admin.py | py | 736 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 20,
"usage_type": "attribute"
... |
24353822671 | import copy
import os
from collections import OrderedDict
from typing import TYPE_CHECKING, Any, Mapping, Optional, Union
if TYPE_CHECKING:
from ...processing_utils import ProcessorMixin
from ...utils import TensorType
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ..... | FMInference/FlexGen | benchmark/third_party/transformers/src/transformers/models/clip/configuration_clip.py | configuration_clip.py | py | 16,463 | python | en | code | 8,687 | github-code | 7 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "utils.logging.get_logger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "utils.logging",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "configurat... |
21096065836 | """
Logging passed information to csv files format.
Author: Nicoline Louise Thomsen
"""
import csv
import datetime
class Logger():
def __init__(self):
time = str(datetime.datetime.now())[11:19]
dateid = time.replace(':', '')
# file_name = 'logs/data_' + dateid + '.csv'
file_na... | Nthom18/EmbodiedAI_21 | LEGO_AI/logger.py | logger.py | py | 929 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "datetime.datetime.now",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "csv.writer",
"line_number": 21,
"usage_type": "call"
}
] |
7681396297 | """Design a stop watch
1. Track amount of time elapsed between presses
enter key
2. With each key press starting a new 'lap'
3. Print lap number, total time and lap time
4. Thus do the following:
Find current time and store it as timestamp
and also start of each lap
Keep a lap counter and incremen... | Maulik5041/Everyday-coding | Datetime/stopwatch.py | stopwatch.py | py | 2,922 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "time.time",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 44,
... |
23836441530 | import torch
import torch.nn as nn
from layers import Embedding,Posting_embedding,Multihead_attention
device = torch.device('cuda')
class Encoder_Layer(nn.Module):
def __init__(self,num_heads,emb_size):
super(Encoder_Layer, self).__init__()
self.emb_size = emb_size
self.hidden=[4*emb_size... | swallown1/NoteOfPaper | OTHER/Transformer/code/transformer.py | transformer.py | py | 4,808 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "torch.device",
"line_number": 6,
"usage_type": "call"
},
{
"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.ReLU",
"line_num... |
14400763439 | # from django.contrib import admin
from django.urls import path
from django.conf.urls import include
from django.contrib import admin
from django.contrib.auth import get_user_model
from rest_framework import routers, viewsets, serializers
from board.views import ListViewSet, CardViewSet, CommentViewSet
User = get_use... | mo7ammadSale7/api | project/urls.py | urls.py | py | 971 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "rest_framework.serializers.HyperlinkedModelSerializer",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 13,... |
74723668062 | import regex
from collections import defaultdict
from itertools import chain
from utils import parse_input
def build_contains_dict(inputs):
containers = defaultdict(list)
reg = regex.compile("(?P<source_bag>.+) bags contain (?:(?P<dest_bag>.+?) bags*(?:, |\.))+")
for entry in inputs:
if "contain no... | alsyia/aoc2020 | day_7_2.py | day_7_2.py | py | 985 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "collections.defaultdict",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "regex.compile",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "utils.parse_input",
"line_number": 26,
"usage_type": "call"
}
] |
30458255763 | import itertools as it
EMPTY = -1
OUT_OF_BOARD = "."
UP = 1
DOWN = 2
RIGHT = 3
LEFT = 4
ALL_DIRS = [
[-1, 0],
[1, 0],
[0, -1],
[0, 1]
]
OFFSET_TO_DIR = {
(-1, 0): UP,
(1, 0): DOWN,
(0, 1): RIGHT,
(0, -1): LEFT
}
class Board:
def __init__(self):
self.nums_height = 0
... | paulinapp/SlitherlinkEtc | slither link/main/slith.py | slith.py | py | 6,673 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "itertools.product",
"line_number": 77,
"usage_type": "call"
}
] |
7781254483 | import datetime
from django.test import TestCase
from financial_planning.factories import (
FinancialPlanningFactory,
RegularCostFactory
)
from patrimony.factories import ActiveFactory
from protection.factories import (
PrivatePensionFactory,
ProtectionManagerFactory,
LifeInsuranceFactory,
Emerg... | DreamRich/DreamRich | src/protection/tests.py | tests.py | py | 18,172 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "financial_planning.factories",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "financial_planning.factories.FinancialPlanningFactory",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "protection.factories.ProtectionManagerFactory",
"line_numb... |
24560788677 | """Wrapper around a Power BI endpoint."""
from __future__ import annotations
import asyncio
import logging
import os
from typing import TYPE_CHECKING, Any, Dict, Iterable, List, Optional, Union
import aiohttp
import requests
from aiohttp import ServerTimeoutError
from langchain_core.pydantic_v1 import BaseModel, Fiel... | langchain-ai/langchain | libs/community/langchain_community/utilities/powerbi.py | powerbi.py | py | 11,246 | python | en | code | 68,990 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "langchain_core.pydan... |
10142114203 | import pytesseract
from pytesseract import Output
import numpy as np
import cv2
import subprocess
from table_detect import table_detect, colfilter, get_text, get_annotations_xlsx, find_table, find_below_table
from pdf2image import convert_from_path,convert_from_bytes
pytesseract.pytesseract.tesseract_cmd = 'C:\\Progr... | snitin08/prod_dist | prod_dist - Copy/receipt/text_extraction.py | text_extraction.py | py | 2,094 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pytesseract.pytesseract",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pdf2image.convert_from_path",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "table_detect.get_annotations_xlsx",
"line_number": 14,
"usage_type": "call"
},... |
3280661267 | # -*- coding: utf-8 -*-
import utils
import pandas
from datetime import datetime
def load_portfolio(date, price, length=10, by_day=False):
if by_day:
d = utils.to_format(utils.select_weekday(date, to_before=False))
else:
d = utils.to_format(datetime(date.year, date.month, 1))
try:
d... | webclinic017/stock_lib | portfolio/high_update.py | high_update.py | py | 1,226 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "utils.to_format",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "utils.select_weekday",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "utils.to_format",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.datetime"... |
3937903528 | from flask import Flask, render_template, request, redirect, url_for
from flask_mysqldb import MySQL
app = Flask(__name__,template_folder="templates")
app.config['MYSQL_HOST'] = "localhost"
app.config['MYSQL_USER'] = "root"
app.config['MYSQL_PASSWORD'] = ""
app.config['MYSQL_DB'] ="todoApp"
todoApp = MySQL(app)
@a... | Hamza-Ejaz/Aptech-Django-Course | flask-todo-app/app.py | app.py | py | 1,605 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "flask_mysqldb.MySQL",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "flask.reques... |
6039971808 | from typing import Optional
import click
from rich.table import Table
from _incydr_cli import console
from _incydr_cli import logging_options
from _incydr_cli import render
from _incydr_cli.cmds.options.output_options import columns_option
from _incydr_cli.cmds.options.output_options import single_format_option
from ... | code42/incydr_python | src/_incydr_cli/cmds/alert_rules.py | alert_rules.py | py | 6,793 | python | en | code | 6 | github-code | 7 | [
{
"api_name": "click.group",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "_incydr_cli.core.IncydrGroup",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "_incydr_cli.logging_options",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "... |
25999481228 | import sys
import logging
import argparse
import os
import shutil
import importlib.util
import torch
import gym
import copy
from torch.utils.tensorboard import SummaryWriter
from envs.model.agent import Agent
from method.trainer import MPRLTrainer
from method.memory import ReplayMemory
from method.explorer import Expl... | BIT-MCS/GCRL-min-AoI | train_our_policy.py | train_our_policy.py | py | 8,915 | python | en | code | 37 | github-code | 7 | [
{
"api_name": "torch.manual_seed",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "torch.cuda.manual_seed_all",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "torch.se... |
32307418303 |
# coding: utf-8
# In[1]:
import pandas as pd
import numpy as np
from pathlib import Path
import matplotlib
from IPython.display import HTML
import requests
from datetime import datetime
#### Import stations CSV
# My first step is to find interesting stations and one of the requirements is to find some that have a... | jsanz/dataviz15 | assignments/week03/EDA 2.py | EDA 2.py | py | 11,320 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pandas.read_csv",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 79,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"... |
29559115250 | """ script for training the MSG-GAN on given dataset """
# Set to True if using in SageMaker
from torch.backends import cudnn
import yaml
import os
import torch as th
import numpy as np
import argparse
USE_SAGEMAKER = True
# sagemaker_containers required to access SageMaker environment (SM_CHANNEL_TRAINING, etc.)
#... | toufeeqahamedns/GeneratingHumanFaces | sourcecode/train_sagemaker.py | train_sagemaker.py | py | 14,653 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "torch.device",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "torch.backends.c... |
23207567949 | import random
import pygame.draw
import math
from src.projectile import CompanionProjectile
from src.ai import AI
class World:
def __init__(self, assets, dev_view=False):
self.enemies = []
self.players = []
self.projectiles = []
self.assets = assets
self.enemies_projecti... | sandromund/pygame_roguelike | src/world.py | world.py | py | 9,034 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "src.ai.AI",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "src.projectile.CompanionProjectile",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "pygame.dra... |
35557207310 | from django.urls import path
from AppBash.views import login, vendedor, ventas, mediosDePago, articulo, cliente
from AppBash.views import plantilla1
urlpatterns = [
path("login/", login, name="Login"),
path("vendedor/", vendedor, name="Vendedor"),
path("ventas/", ventas, name="Ventas"),
path("mediosdep... | cristian0717/Bash | AppBash/urls.py | urls.py | py | 488 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "AppBash.views.login",
"line_number": 6,
"usage_type": "argument"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "AppBash.views.... |
17005111209 | # -*- coding: utf-8 -*-
import matplotlib.pyplot as plt
import numpy as np
import pymysql # 操作mysql的模块
import openpyxl # xlsx格式对应的操作模块
import time
import math
from datetime import datetime
import csv
import os
import pandas
import re
import argparse
import sys
from sklearn.impute import SimpleImputer
... | WangLab-SINH/CohortClock | Server/dotplot.py | dotplot.py | py | 7,043 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 19,
"usage_type": "attribute"
},
{
... |
15709260284 | from skimage import io
import sys
first = io.imread(sys.argv[1])
second = io.imread(sys.argv[2])
if(len(first) != len(second) or len(first[0]) != len(second[0])):
print("Not the same size.")
sys.exit()
for i in range(len(first)):
for j in range(len(first[i])):
print(first[i][j])
if(first[i][... | Nicetiesniceties/ntucsie-Computer-Vision1 | img_compare.py | img_compare.py | py | 428 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "skimage.io.imread",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "skimage.io",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "sys.argv",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "skimage.io.imread",
"line... |
72853227102 | import pytest
import torch
from mmcv.utils.parrots_wrapper import _BatchNorm
from mmseg.models.backbones.hrnet import HRModule, HRNet
from mmseg.models.backbones.resnet import BasicBlock, Bottleneck
@pytest.mark.parametrize('block', [BasicBlock, Bottleneck])
def test_hrmodule(block):
# Test multiscale forward
... | Ascend/ModelZoo-PyTorch | PyTorch/built-in/cv/semantic_segmentation/BiseNetV1_for_PyTorch/tests/test_models/test_backbones/test_hrnet.py | test_hrnet.py | py | 4,218 | python | en | code | 31 | github-code | 7 | [
{
"api_name": "mmseg.models.backbones.hrnet.HRModule",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.randn",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "torch.randn",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.S... |
18756236586 | import asyncio
import curses
from curses import textpad, ascii
import datetime
class Prompt():
def __init__(self, prompt_string='> '):
self.screen = curses.initscr()
curses.noecho()
curses.cbreak()
self.prompt_string = prompt_string
self.output_window = None
self.pro... | falicius/PythonProject | anothertest.py | anothertest.py | py | 3,111 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "curses.initscr",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "curses.noecho",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "curses.cbreak",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "asyncio.get_event_loop",
... |
11499133220 | from flask import Flask, request, send_file, render_template, jsonify
from time import sleep, time
from queue import Queue
import pandas as pd
import threading
import pickle
from geobr import read_municipality, read_municipal_seat
from os import path
import uuid
import sys
import subprocess
from os.path import exists, ... | vss-2/Lineu | Lineu.py | Lineu.py | py | 17,673 | python | pt | code | 0 | github-code | 7 | [
{
"api_name": "sys.setrecursionlimit",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "queue.Queue",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"l... |
11616045908 | from pprint import pprint
import json
json_files = open("task5_data.json", "r")
files = json.load(json_files)
json_files.close()
def analyse_movies_genre():
list1 = []
for movie in files:
for genre in movie["genre"]:
list1.append(genre)
temp = set(list1)
movie_gen... | tushar19970/Web_Scraping-using-Python | task11.py | task11.py | py | 603 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "json.load",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 19,
"usage_type": "call"
}
] |
14839558987 | # CONQUEST:GO
# https://github.com/Kandru/conquest-go
# author: Karl-Martin Minkner
# website: https://gameshare.community
import pymysql
import uuid
from queue import Queue
from threading import Lock
from listeners.tick import GameThread
from conquest.debug import msg
class mysql:
def __init__(self):
self.socket =... | Kandru/conquest-go | conquest/mysql.py | mysql.py | py | 2,195 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "queue.Queue",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "threading.Lock",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "listeners.tick.GameThread",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pymysql.connect"... |
28291086904 | import setuptools
# https://packaging.python.org/tutorials/packaging-projects/
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="mathfn", # Replace with your own username
version="0.0.1",
url='git@github.com:NandaCj/private-packages.git',
author="Nanda",
... | NandaCj/private-packages | setup.py | setup.py | py | 724 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "setuptools.setup",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 17,
"usage_type": "call"
}
] |
5993523574 |
from django.urls import path
from .views import GetIdealUser, UserDetailAPI,RegisterUserAPIView
urlpatterns = [
path('register',RegisterUserAPIView.as_view()),
path("get-details",UserDetailAPI.as_view()), # need Authentication
path("ideal/user/",GetIdealUser.as_view(), name="get-ideal-user"),
]
| paras1244/Ideal_user_manager | api/urls.py | urls.py | py | 312 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "views.RegisterUserAPIView.as_view",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "views.RegisterUserAPIView",
"line_number": 7,
"usage_type": "name"
},
{
"api_nam... |
40508262538 | """Regression tests for bug fixes, needing the full stack running."""
import logging
import time
from pathlib import Path
import pytest
import requests
logger = logging.getLogger(__name__)
TEST_VIDEO = str(
(
Path(__file__).parent
/ "test_data"
/ "test-abbor-small[2021-01-02_00-00-00]-000... | tomrtk/fish-code | tests/integration/test_regression.py | test_regression.py | py | 2,307 | python | en | code | 12 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line... |
42054867282 | # -- Import packages ---------------------------------------------------------------------------------------------------
from collections import OrderedDict
import os
import json
import numpy as np
class Diagnostics:
"""
Diagnostics for an episode.
"""
def __init__(self, runs):
self.d = Order... | mxhofer/OrgSim-RL | dyna-q/utils_diagnostics.py | utils_diagnostics.py | py | 3,057 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "collections.OrderedDict",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "collectio... |
4168482316 | """
tests.test_component_device_tracker
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Tests the device tracker compoments.
"""
# pylint: disable=protected-access,too-many-public-methods
import unittest
from unittest.mock import patch
from datetime import datetime, timedelta
import os
from homeassistant.config import load_yaml_... | hcchu/home-assistant-clone | tests/components/device_tracker/test_init.py | test_init.py | py | 9,421 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "unittest.TestCase",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "tests.common.get_test_home_assistant",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "homeassistant.components.device_tracker.YAML_DEVICES",
"line_number": 31,
"us... |
73305031264 | import subprocess
import os
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import seaborn as sns
def get_gsea_enrichment(input_file, library, out_folder):
"""Runs GSEA based on input set of genes with associated logFC values
using local jar file and gene set library (.gmt file)
Pa... | datarail/msda | msda/gsea_tool.py | gsea_tool.py | py | 6,441 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "os.makedirs",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_... |
17349724419 | from keras.applications.inception_v3 import InceptionV3
from keras.preprocessing import image
from keras.models import Model
from keras.layers import Dense, GlobalAveragePooling2D
from keras import backend as K
from keras.optimizers import SGD, RMSprop, Adam
train_data_dir = "/ebs/user05/data/train"
validation_data_di... | bholligan/image_class | model_scripts/incepV3_filter.py | incepV3_filter.py | py | 2,054 | python | en | code | 7 | github-code | 7 | [
{
"api_name": "keras.applications.inception_v3.InceptionV3",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "keras.layers.GlobalAveragePooling2D",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "keras.layers.Dense",
"line_number": 22,
"usage_type": "ca... |
21007973780 | import functools
from peewee import fn
from playhouse.shortcuts import model_to_dict
from nni.nas.benchmark.utils import load_benchmark
from .schema import NdsTrialStats, NdsTrialConfig, proxy
def query_nds_trial_stats(model_family, proposer, generator, model_spec, cell_spec, dataset,
num_... | microsoft/nni | nni/nas/benchmark/nds/query.py | query.py | py | 3,511 | python | en | code | 13,409 | github-code | 7 | [
{
"api_name": "schema.proxy.obj",
"line_number": 47,
"usage_type": "attribute"
},
{
"api_name": "schema.proxy",
"line_number": 47,
"usage_type": "name"
},
{
"api_name": "schema.proxy.initialize",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "schema.pro... |
9679356194 | from collections import defaultdict
import sys
import numpy as np
import gffutils
import pandas as pd
def miso_exon_to_gencode_exon(exon):
"""Convert a single miso exon to gencode gffutils database exon id
>>> # Skipped exon (SE) or Mutually exclusive exon (MXE) ID
>>> miso_exon_to_gencode_exon('chr2:96... | YeoLab/gscripts | gscripts/miso/convert_ids.py | convert_ids.py | py | 9,406 | python | en | code | 15 | github-code | 7 | [
{
"api_name": "collections.defaultdict",
"line_number": 104,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 105,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 106,
"usage_type": "call"
},
{
"api_na... |
28832505842 | import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from fairseq import utils
from fairseq.models import (
FairseqEncoder,
)
from fairseq.modules import (
LayerNorm,
PositionalEmbedding,
SinusoidalPositionalEmbedding,
)
from nonauto.model_utils import positional_encodings_li... | baoy-nlp/NAT-fairseq | nonauto/modules/encoder.py | encoder.py | py | 8,066 | python | en | code | 4 | github-code | 7 | [
{
"api_name": "torch.nn.Module",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "nonauto.modules.blocks.SelfAttentionBlock",
"line_number": 45,
"usage_type": "call"
},
{
"api_name"... |
72865630302 | from typing import Optional, Tuple, Union
import torch
from torch import nn as nn
from torch.autograd import Function
from ..utils import ext_loader
from .ball_query import ball_query
from .knn import knn
ext_module = ext_loader.load_ext(
'_ext', ['group_points_forward', 'group_points_backward'])
class QueryAn... | Ascend/ModelZoo-PyTorch | PyTorch/contrib/cv/semantic_segmentation/MMseg-swin/mmcv/mmcv/ops/group_points.py | group_points.py | py | 8,547 | python | en | code | 31 | github-code | 7 | [
{
"api_name": "utils.ext_loader.load_ext",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "utils.ext_loader",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "torch.nn.Module",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "torch... |
72685406944 | import random
from typing import List
class Solution:
def __init__(self, w: List[int]):
self.total = sum(w)
self.cumulative = [0]
for val in w:
self.cumulative.append(self.cumulative[-1] + val)
def pickIndex(self) -> int:
val = random.randint(0, self.total-1)
... | daviddwlee84/LeetCode | Python3/Design/RandomPickWithWeight/Naive528.py | Naive528.py | py | 1,343 | python | en | code | 15 | github-code | 7 | [
{
"api_name": "typing.List",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "random.randint",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 41,
"usage_type": "name"
}
] |
12782919489 | import hashlib
import random
import sqlite3
import emojis
import logging
logging.basicConfig(
level=logging.INFO,
format="%(asctime)s | %(name)s | %(levelname)s | %(" "message)s",
handlers=[
logging.FileHandler("oi.log"),
logging.StreamHandler()
]
)
log = logging.getLogger... | rikingurditta/funnybot | oi_discord_bot/database.py | database.py | py | 19,252 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "logging.basicConfig",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "logging.FileHandler",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.Stre... |
33455190135 | import torch
import torch.nn as nn
import numpy as np
import sys
sys.path.append("../../")
from general.mutils import get_param_val, create_transformer_mask, create_channel_mask
from layers.flows.flow_model import FlowModel
from layers.flows.activation_normalization import ActNormFlow
from layers.flows.permutation_... | phlippe/CategoricalNF | experiments/set_modeling/flow_model.py | flow_model.py | py | 4,891 | python | en | code | 50 | github-code | 7 | [
{
"api_name": "sys.path.append",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "layers.flows.flow_model.FlowModel",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "layers.... |
30270407731 | import tensorflow as tf
import os
import numpy as np
import logging
import io
import PIL.Image
import hashlib
import random
from object_detection.utils import dataset_util
import cv2 as cv
from utils.utils import read_config
from object_detection.dataset_tools import tf_record_creation_util
from object_detection.utils... | shivin101/Component-Detection | code/tf_record.py | tf_record.py | py | 4,771 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "utils.utils.read_config",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "tensorflow.app",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
5182276154 | from dataloader import preprocess
from sklearn.svm import SVR
from sklearn.model_selection import GridSearchCV
import torch.nn as nn
import torch
import numpy as np
def anomaly_score(z, x):
"""
Compute the anomaly score of a given data point.
:param logvar: the log variance of the data point.
... | LHL3341/LSTM-VAE | anomaly_score.py | anomaly_score.py | py | 1,922 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "torch.nn.Softmax",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "torch.Tensor",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.Tensor",
"line_numbe... |
3287878475 | import cv2
import numpy as np
"""
Manual filter parameters defination
Images on Notion
Hue -> pure spectrum colors ("cores do arco-iris") being red, orange, yellow, blue, green and violet, it goes from 0 to 360 (or 0 to 179)
Saturation -> Intensity of the color (0 to 100%, or 0 to 255)
Value -> Brightness (0 to 1... | CEFAST-Drone/OpenCV-tests | Basics/chapter 7 - Color Detection and Trackbars.py | chapter 7 - Color Detection and Trackbars.py | py | 2,092 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "numpy.array",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.namedWindow",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "cv2.resizeWindow",
"line_... |
38951761346 | import os
import shutil
from collections import namedtuple
from autohdl import PREDEFINED_DIRS, FILE_USER_CFG, IGNORE_REPO_DIRS
from autohdl import verilog
import logging
alog = logging.getLogger(__name__)
def generate(path=''):
# create dir structure
# copy config file
# return printable tree structure... | mgolokhov/autohdl | autohdl/structure.py | structure.py | py | 3,505 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"l... |
3777740928 | ### Homemade code
from classes_arduino import tryexceptArduino
from classes_colther import homingZabersConcu, moveAxisTo
from classes_text import printme, scale_reponse, binary_response
from classes_speech import say
from rand_scaling import choosing_next_pos
from local_functions import (
panicButton,
iti_zaber... | sofiadepedro/MSci_lab_project | expt12_cold_scale/src_testing/def_show_anch.py | def_show_anch.py | py | 10,185 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "random.shuffle",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "classes_colther.homingZabersConcu",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "classes_colther.moveAxisTo",
"line_number": 69,
"usage_type": "call"
},
{
"api_n... |
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