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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
29007039516 | from django.urls import path
from . import views
from django.shortcuts import render, redirect
urlpatterns = [
path("", views.index ,name="index"),
path("index.html", views.index ,name="index"),
path("robots.txt", views.robots ,name="robots"),
path("ads.txt", (lambda request: render(request, "ads.txt")... | minegishirei/flamevalue | trashbox/django3/app/short_tips/urls.py | urls.py | py | 622 | python | en | code | 0 | github-code | 1 | [
{
"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",
... |
2180140168 | """TCP hole punching and peer communication."""
import socket
import threading
from typing import Callable
class Error(Exception):
pass
class Tunnel:
"""High-level packet transmission."""
class Listener:
"""Automatic tunnel creation on port."""
def __init__(self, port: int, backlog: int = None):... | TheDocTrier/pyble | pyble/server/tunnel.py | tunnel.py | py | 1,468 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "socket.socket",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "threading.RLock",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "typing.Callable",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "threading.Thread",
... |
11178768615 | import pandas
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from sklearn.tree import DecisionTreeClassifier
data = pandas.read_csv("database.csv")
crop = pandas.read_csv("crop.csv")
city = data['city'].to_list()
max_temp = list(map(int, data['max temperature'].to_list()))
min_temp = li... | dr1810/Agrolect | main.py | main.py | py | 2,546 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "pandas.read_csv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "sklearn.tree.DecisionT... |
72720227234 | import requests as req
# api url
url = "https://animechan.vercel.app/api"
def res_to_str(data):
character = data["character"]
anime = data["anime"]
quote = data["quote"]
res_string = f"\nQuote by: {character}\nFrom: {anime}\nQuote: {quote}\n"
return res_string
def get_data(full_url):
print("G... | imtiaz0307/Python | random_anime_quote_generator.py | random_anime_quote_generator.py | py | 1,363 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "requests.get",
"line_number": 15,
"usage_type": "call"
}
] |
17074239864 | from django.db import models
import uuid
class CategoriesOfProducts(models.Model):
id = models.AutoField(primary_key=True)
name = models.CharField(max_length=64)
seq = models.IntegerField(blank=True, unique=True)
class Meta:
verbose_name = 'CategoryOfProducts'
verbose_name_plural = 'C... | masian4eg/livest_test | stock_app/models.py | models.py | py | 1,347 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.db.models.Model",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.db.models.AutoField",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "... |
28176082453 | import io
import sys
import json
from smoke.io.wrap import demo as io_wrp_dm
from smoke.replay import demo as rply_dm
from smoke.replay.const import Data
class Chat(object):
def __init__(self, player, message):
self.player = player
self.message = message
class Player(object):
def __init__(sel... | qiemem/dotalang | messages.py | messages.py | py | 1,914 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "io.open",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "smoke.io.wrap.demo.Wrap",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "smoke.io.wrap.demo",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "smoke.replay.const... |
40296920999 | from django.core.mail import send_mail
from fitness.celery import app
from fitness.settings import EMAIL_HOST_USER
from django.utils.translation import gettext_lazy as _
@app.task
def send_code_to_email(code_user, email_user):
"""
Отправка письма с кодом подтверждения
"""
mail_sent = send_mail(
... | SimonaSoloduha/fitness | authentication/tasks.py | tasks.py | py | 605 | python | ru | code | 0 | github-code | 1 | [
{
"api_name": "django.core.mail.send_mail",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "fitness.settings.EMAIL_HOST_USER",
"line_number": 16,
"usage_type": "argument"
},
{
"api_name": "django.utils.translation.gettext_lazy",
"line_number": 14,
"usage_type": ... |
4340651422 | from datetime import datetime
from PySide2.QtCore import Qt, QAbstractItemModel, QModelIndex
from PySide2.QtGui import QBrush
from jal.constants import BookAccount, PredefinedAsset, CustomColor
from jal.widgets.helpers import g_tr
from jal.db.helpers import executeSQL
from jal.widgets.delegates import GridLinesDelegate... | iliakan/jal | jal/reports/income_spending_report.py | income_spending_report.py | py | 11,723 | python | en | code | null | github-code | 1 | [
{
"api_name": "datetime.datetime.utcfromtimestamp",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.utcfromtimestamp",
"line_number": 17,
"usage_type": "call"
},
... |
19752680843 | import json
import os
from datetime import datetime
from flask import Flask
from flask import request
from flask import Response
from tornado.wsgi import WSGIContainer
from tornado.httpserver import HTTPServer
from tornado.ioloop import IOLoop
from kaner.context import GlobalContext as gctx
from kaner.adapter.tokeniz... | knowledgeresearch/kaner | kaner/service.py | service.py | py | 5,904 | python | en | code | 4 | github-code | 1 | [
{
"api_name": "kaner.context.GlobalContext.init",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "kaner.context.GlobalContext",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "flask.Flask",
"line_number": 20,
"usage_type": "call"
},
{
"api_name... |
13457456760 | from spacy.lang.en import English
import numpy as np
import srsly
from flask import Flask, render_template
patterns = srsly.read_jsonl("Backend/skill_patterns.jsonl")
nlp = English()
ruler = nlp.add_pipe("entity_ruler")
ruler.add_patterns(patterns)
def extract_keywords(txt):
doc = nlp(txt)
keywords = lis... | MAlshaik/Joblify | Backend/analyzer.py | analyzer.py | py | 1,008 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "srsly.read_jsonl",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "spacy.lang.en.English",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"... |
11510348772 | # Released under the MIT License. See LICENSE for details.
#
"""Various functionality related to achievements."""
from __future__ import annotations
import logging
from typing import TYPE_CHECKING
import babase
import bascenev1
import bauiv1
if TYPE_CHECKING:
from typing import Any, Sequence
import baclassi... | efroemling/ballistica | src/assets/ba_data/python/baclassic/_achievement.py | _achievement.py | py | 50,903 | python | en | code | 468 | github-code | 1 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "baclassic.Achievement",
"line_number": 79,
"usage_type": "attribute"
},
{
"api_name": "bascenev1.BaseTimer",
"line_number": 81,
"usage_type": "attribute"
},
{
"api_name... |
28275954002 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import gzip
import os
import shutil
import tempfile
import numpy
from six.moves import urllib
import tensorflow as tf
# CVDF mirror of http://yann.lecun.com/exdb/mnist/
SOURCE_URL = 'http://yann.lecun.com/exd... | Pensarfeo/MNISTFullyConnectedTensorflowExample | dataset.py | dataset.py | py | 3,185 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "tensorflow.gfile.Exists",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "tensorflow.gfile",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.gfile.MakeDirs",
"line_number": 25,
"usage_type": "call"
},
{
"api_name"... |
20897754659 | from PyQt4 import QtCore, QtGui
import xml.etree.cElementTree as ET
from log_manager import logger
import csv
SYNC_CONFIG_FILE = "storj_sync_config.xml"
SYNC_DIRECTORIES_FILE = "storj_sync_dirs.csv"
# Configuration backend section
class SyncConfiguration():
def __init__(self, load_config=False):
if loa... | lakewik/EasyStorj | UI/utilities/sync_config.py | sync_config.py | py | 5,871 | python | en | code | 74 | github-code | 1 | [
{
"api_name": "xml.etree.cElementTree.parse",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "xml.etree.cElementTree",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "log_manager.logger.error",
"line_number": 22,
"usage_type": "call"
},
{
"api_... |
10289153237 | from paprika.core.base_signal import Signal
from paprika.data.fetcher import DataType
from paprika.data.feed_subscriber import FeedSubscriber
from paprika.signals.signal_data import SignalData
from paprika.data.data_channel import DataChannel
from paprika.alpha.base import Alpha
from paprika.data.data_processor import ... | hraoyama/radish | paprika/signals/signals/alpha_unit.py | alpha_unit.py | py | 2,770 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "paprika.data.feed_subscriber.FeedSubscriber",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "paprika.core.base_signal.Signal",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "pandas.DataFrame",
"line_number": 24,
"usage_type": "call"
... |
44293486284 | import pygame
import os
pygame.font.init()
WIDTH, HEIGHT = 1100, 800
WIN = pygame.display.set_mode((WIDTH, HEIGHT))
pygame.display.set_caption("Cowboy shooter")
class Draw_Controller:
def __init__(self, covers, P1, P2, Bullet_Controller):
self._DESERT = pygame.transform.scale(pygame.image.load(os.path.j... | Ivailo2707/Pygame_Project_Cowboy | Draw_Controller.py | Draw_Controller.py | py | 1,641 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "pygame.font.init",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pygame.font",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pygame.display... |
36780999631 | import numpy as np
from isoexp.linear.linearbandit import EfficientLinearBandit, LinearBandit, LinPHE
from isoexp.conservative.linearmabs import EfficientConservativeLinearBandit, SafetySetCLUCB
from isoexp.linear.linearmab_models import RandomLinearArms, DiffLinearArms, OtherArms, CircleBaseline, LinPHEModel
from matp... | facebookresearch/ContextualBanditsAttacks | examples/main_linearmab.py | main_linearmab.py | py | 8,137 | python | en | code | 4 | github-code | 1 | [
{
"api_name": "matplotlib.rc",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.random.randint",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.rando... |
22942092792 | import logging
import os
from typing import Dict
from monai.transforms import Invertd, SaveImaged
import monailabel
from monailabel.interfaces.app import MONAILabelApp
from monailabel.interfaces.tasks.infer_v2 import InferTask
from monailabel.interfaces.tasks.scoring import ScoringMethod
from monailabel.interfaces.ta... | Project-MONAI/MONAILabel | sample-apps/monaibundle/main.py | main.py | py | 7,247 | python | en | code | 472 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "monailabel.interfaces.app.MONAILabelApp",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "monailabel.utils.others.generic.get_bundle_models",
"line_number": 25,
"usage_t... |
42687602182 | import numpy as np
from collections import OrderedDict
import csv
import matplotlib.pyplot as plt
class Adam:
"""Adam (http://arxiv.org/abs/1412.6980v8)"""
def __init__(self, lr=0.001, beta1=0.9, beta2=0.999):
self.lr = lr
self.beta1 = beta1
self.beta2 = beta2
self.iter = 0
... | r07942086/ML2018FALL | hw2/train_best.py | train_best.py | py | 8,694 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.zeros_like",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.zeros_like",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_n... |
12458772738 | import os, sys
import pygame
import pygame.locals
import grid
import gem
import random
import player
import threading
import time
BLACK = 0, 0, 0
OFFSET = 70
pygame.init()
class Updater(threading.Thread):
'''Handles brick drop speed.'''
def __init__(self, players):
threading.Thread.__init__(self)
... | Ceasar/Puzzle-Fighter | main.py | main.py | py | 5,000 | python | en | code | 4 | github-code | 1 | [
{
"api_name": "pygame.init",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "threading.Thread.__init__",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "threading... |
19152762512 | from django.test import TestCase
from django.core.urlresolvers import reverse
from committee.models import Committee, Meeting
class ResponseStatus(TestCase):
def test_committees(self):
response = self.client.get(reverse('committee-hub'))
self.assertEqual(response.status_code, 200)
def test_c... | imagreenplant/beacon-food-forest | committee/tests.py | tests.py | py | 1,001 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "django.test.TestCase",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.core.urlresolvers.reverse",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "committee.models",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "... |
13649108676 | import json
from rest_framework import status
from api.constans import AutoNotificationConstants, TaskStageConstants
from api.models import *
from api.tests import GigaTurnipTestHelper
class DateTimeSortTest(GigaTurnipTestHelper):
def test_datetime_sort_for_tasks(self):
from datetime import datetime
... | KloopMedia/GigaTurnip | api/tests/test_datetime_sort.py | test_datetime_sort.py | py | 6,128 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "api.tests.GigaTurnipTestHelper",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "datetime.datetime",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "rest_fram... |
10327628407 | import numpy as np
import os
from PIL import Image
import cv2
import matplotlib.pyplot as plt
from tqdm import tqdm
import pandas as pd
from config import *
import dlib
def convert_csv_to_jpg(csv_path):
# 加载opencv的人脸识别文件
# 'haarcascade_frontalface_alt' higher accuracy, but slower
# 'haarcascade_frontalfac... | ryangawei/CNN-Facial-Expression-Recognition | src/preprocess.py | preprocess.py | py | 5,897 | python | en | code | 16 | github-code | 1 | [
{
"api_name": "dlib.get_frontal_face_detector",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "dlib.shape_predictor",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "o... |
18652820535 | from django.conf.urls import url
from django.urls import path
from .views import CustomerGroupAPIView, CustomerGroupAPIDetailView, SiteAPIDetailView, SiteAPIView
app_name = "api-group"
# app_name will help us do a reverse look-up latter.
urlpatterns = [
url(r'^(?P<id>\d+)/$', CustomerGroupAPIDetailView.as_view(... | KUSH23/bkend | customergroups/api/urls.py | urls.py | py | 539 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "django.conf.urls.url",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "views.CustomerGroupAPIDetailView.as_view",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "views.CustomerGroupAPIDetailView",
"line_number": 11,
"usage_type": "name"
... |
71114520353 | from plot import *
from bokeh.plotting import output_file, show
from bokeh.models import Div
# example values
layout = column(
Div(text="<h1>Cruise control (PI regulator)</h1>", align="center"),
make_plot(start_velocity=0, end_velocity=50),
make_plots(start_velocity=0, end_velocity=50)
)
output_file("crui... | gg-mike/PUT-3-PA-project | Main.py | Main.py | py | 376 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "bokeh.models.Div",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "bokeh.plotting.output_file",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "bokeh.plotting.show",
"line_number": 14,
"usage_type": "call"
}
] |
4157922495 | from django.urls import path
from .views import (
SignupAPIView,
SigninAPIView,
DeleteUserView,
ProjectMixins,
ProjectDetailMixins
)
urlpatterns = [
path("users/signup/", SignupAPIView.as_view(), name='signup'),
path("users/signin/", SigninAPIView.as_view(), name='signin'),
path("user... | HyeonWooJo/tts-input-service | backend/apis/urls.py | urls.py | py | 531 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.urls.path",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "views.SignupAPIView.as_view",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "views.SignupAPIView",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "djan... |
38302460948 | """Tests for `ember_mug.mug connections`."""
from __future__ import annotations
from datetime import datetime
from typing import TYPE_CHECKING
from unittest.mock import AsyncMock, Mock, patch
import pytest
from bleak import BleakError
from bleak.backends.device import BLEDevice
from ember_mug.consts import (
EMB... | sopelj/python-ember-mug | tests/test_connection.py | test_connection.py | py | 21,188 | python | en | code | 18 | github-code | 1 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "ember_mug.mug.EmberMug",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "unittest.mock.AsyncMock",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "b... |
21484583538 | import math
import numpy as np
import scipy.constants as sc
import units as unit
def db_to_abs(db_value):
"""
:param db_value: list or float
:return: Convert dB to absolute value
"""
absolute_value = 10**(db_value/float(10))
return absolute_value
def abs_to_db(absolute_value):
"""
:p... | adiazmont/optical-network-simulator | transmission_system.py | transmission_system.py | py | 23,048 | python | en | code | 4 | github-code | 1 | [
{
"api_name": "numpy.log10",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "units.mW",
"line_number": 188,
"usage_type": "attribute"
},
{
"api_name": "numpy.log2",
"line_number": 219,
"usage_type": "call"
},
{
"api_name": "units.c",
"line_number": 2... |
37614366922 | import numpy as np
import matplotlib.pyplot as plt
from sklearn.linear_model import LinearRegression
plt.style.use('fivethirtyeight')
def fit_model(x_train, y_train):
# Fits a linear regression to find the actual b and w that minimize the loss
regression = LinearRegression()
regression.fit(x_train, y_train... | dvgodoy/PyTorchStepByStep | plots/chapter1.py | chapter1.py | py | 1,612 | python | en | code | 622 | github-code | 1 | [
{
"api_name": "matplotlib.pyplot.style.use",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.style",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 4,
"usage_type": "name"
},
{
"api_name"... |
26191591366 | import numpy as np
import matplotlib.pyplot as plt
import torch
from torchvision.io import read_image
from torchvision.ops import masks_to_boxes
def show_mask(mask, ax, random_color=False):
if random_color:
color = np.concatenate([np.random.random(3), np.array([0.6])], axis=0)
else:
color = np... | anushkumarv/AITestKitchen | SAM/utils/helper.py | helper.py | py | 1,807 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.concatenate",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.random.random",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",... |
38420624656 | import configparser
import csv
from src.web_monitor import web_monitor
def read_config():
config = configparser.ConfigParser()
config.read('config.ini')
with open("websites.txt", "r") as web_config:
tsv_reader = csv.DictReader(web_config, delimiter='\t')
web_dict = {}
for row in t... | Cy83rr/web_monitor | run_script.py | run_script.py | py | 556 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "csv.DictReader",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "src.web_monitor.web_monitor.main",
"line_number": 22,
"usage_type": "call"
},
{
"api_name... |
72794581795 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from rknn.api import RKNN
#import _init_paths
import cv2
import numpy as np
import math
import threading
from time import sleep
imreadLock = threading.Lock()
#from python_wrapper import *
#import os
import sys
PNET_PYRAMID= np.array([[270,207],[192,147],[136,10... | chenshiqin/mtcnn | demo_camera_spilt.py | demo_camera_spilt.py | py | 26,819 | python | en | code | 5 | github-code | 1 | [
{
"api_name": "threading.Lock",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number... |
41559504876 | #!/usr/bin/env python
def fit_lambda(root='j100025+021706', newfunc=True, bucket_name='aws-grivam'):
import time
import os
import numpy as np
import boto3
import json
from grizli_aws.fit_redshift_single import run_grizli_fit
beams, files = get_needed_paths(root, bucket_name=bucket... | grizli-project/grizli-aws | scripts/fit_redshift_local.py | fit_redshift_local.py | py | 2,656 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "grizli_aws.fit_redshift_single.run_grizli_fit",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "boto3.resource",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "boto3.client",
"line_number": 42,
"usage_type": "call"
},
{
"api_nam... |
44221249022 | import torch
def tile_features_and_labels(x, y):
"""
Tile the features and lables along the sequence dimension.
Example: the sequence [(x_1,y_1), (x_2, y_2), (x_3, y_3)] encodes 3 different testing paradigms.
We can use [(x_1, y_1), (x_2, y_2), x_3] to predict y_3, [(x_2,y_2), (x_3,y_3), x_1] to predict y_1... | cfifty/CAMP | models/context_model_utils.py | context_model_utils.py | py | 830 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "torch.arange",
"line_number": 24,
"usage_type": "call"
}
] |
41436655263 | import logging
from string import ascii_letters
import pytest
# Import TestListener with a leading underscore to prevent pytest from
# thinking that it's a test class.
from stomp.listener import TestListener as _TestListener
from streamsets.testframework.markers import jms, sdc_min_version
from streamsets.testframewor... | streamsets/datacollector-tests | pipeline/test_jms_stages.py | test_jms_stages.py | py | 5,338 | python | en | code | 17 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "streamsets.testframework.utils.get_random_string",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "string.ascii_letters",
"line_number": 30,
"usage_type": "argument"
}... |
70547442913 | import logging
import ask_sdk_core.utils as ask_utils
import openai
from ask_sdk_core.skill_builder import SkillBuilder
from ask_sdk_core.dispatch_components import AbstractRequestHandler
from ask_sdk_core.dispatch_components import AbstractExceptionHandler
from ask_sdk_core.handler_input import HandlerInput
from ask_s... | cainfoxy/Alexa-GPT4-CFX | Lambda/lambda_function.py | lambda_function.py | py | 4,046 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "openai.api_key",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "ask_sdk_core.... |
32060238017 | from django.shortcuts import render
from core.forms import NameForm
def form_manual(request):
data = {}
if request.method == 'POST':
data['name'] = request.POST.get('name', 'name not found')
data['active'] = request.POST.get('active', 'off')
data['week'] = request.POST.get('week', 'week not fou... | djangomoc/formularios | core/views.py | views.py | py | 927 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "django.shortcuts.render",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "core.forms.NameForm",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pdb.set_trace",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "django.shor... |
9324774880 | import csv, re, os
from typing import List, Dict, Tuple
from cProfile import Profile
from pstats import Stats
from vacancy import InputConnect
from statistic import Report, get_statistic, get_salary_level, get_count_vacancies, print_statistic
from Task322 import get_stat_by_year
prof = Profile()
prof.disable()
class... | Elenaz441/Zasypkina | main.py | main.py | py | 13,812 | python | ru | code | 0 | github-code | 1 | [
{
"api_name": "cProfile.Profile",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "typing.Tuple",
"line_number": 4... |
16988584968 | import scipy.io as sio
import numpy as np
import matplotlib.pyplot as plt
def lsfit(data):
x = data[:,0]
y = data[:,1]
x_bar = np.mean(x)
y_bar = np.mean(y)
xy_bar = np.mean(x*y)
xx_bar = np.mean(x*x)
w1 = (xy_bar - y_bar*x_bar)/(xx_bar - x_bar*x_bar)
w0 = y_bar - w1*x_bar
loss = n... | cartfjord/ASI | Lab1/lab1.py | lab1.py | py | 3,700 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.mean",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_number": 11,
... |
36937439358 | import pprint
import sys
from os import path
import yaml
def to_upper(oldList):
newList = []
for element in oldList:
newList.append(element.upper())
return newList
def find_key(input_dict, target):
solutions = []
for key, value in input_dict.items():
for i in to_upper(value):
... | richardphi1618/personal_finances | test/match_key.py | match_key.py | py | 999 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.path.isfile",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "yaml.safe_load",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 3... |
41405496993 | from http import HTTPStatus
from typing import Any
from fastapi import APIRouter, Depends, Request
from fastapi.security import HTTPAuthorizationCredentials, HTTPBearer
from fastapi_restful.cbv import cbv
from pydantic.schema import UUID
from src.api.response_models.error import generate_error_responses
from... | Studio-Yandex-Practicum/lomaya_baryery_backend | src/api/routers/report.py | report.py | py | 4,802 | python | ru | code | 26 | github-code | 1 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "src.core.services.authentication_service.AuthenticationService",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "fastapi.Depends",
"line_number": 21,
"usage_type": "call... |
74395034273 | from mlfromscratch.supervised.random_forest import Random_forest
import numpy as np
from sklearn.ensemble import RandomForestClassifier
from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split
def test():
iris = load_iris()
X = iris['data']
y = iris['target']
X_train... | harjotsodhi/ML-from-scratch | mlfromscratch/testing/test_random_forest.py | test_random_forest.py | py | 965 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "sklearn.datasets.load_iris",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "mlfromscratch.supervised.random_forest.Random_forest",
"line_number": 15,
... |
33682119543 | """
28.06.23
@tcnicholas
Utility functions.
"""
import re
from typing import Tuple, List
import numpy as np
from numba import njit
def round_maxr(max_r: float, bin_width: float) -> float:
"""
Round the max_r value by flooring to a multiple of the bin_width.
:param max_r: maximum value of r.
:param ... | tcnicholas/amorphous-calcium-carbonate | ljg_simulator/utils.py | utils.py | py | 3,772 | python | en | code | 4 | github-code | 1 | [
{
"api_name": "numpy.round",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.round",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.ndarray",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number":... |
71112237794 | from AIPUBuilder.Optimizer.utils import *
from AIPUBuilder.Optimizer.framework import *
from AIPUBuilder.Optimizer.ops.activation import apply_with_activation, with_activation_out_is_signed, apply_with_activation_quantize, with_activation_allow_merge_out_zerop_to_bias
from AIPUBuilder.Optimizer.logger import *
from AI... | Arm-China/Compass_Optimizer | AIPUBuilder/Optimizer/ops/conv.py | conv.py | py | 14,605 | python | en | code | 18 | github-code | 1 | [
{
"api_name": "torch.Tensor",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.functional.pad",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.func... |
19609459955 | import flask
import threading
import os
import slackeventsapi
import slackweb
import bedroomtv
import youtube
import surveillance
slack_signing_secret=os.environ.get('SLACK_SIGNING_SECRET')
approved_user_id=os.environ.get('APPROVED_USER_ID')
app=flask.Flask(__name__)
slack_events_adapter=slackeventsapi.SlackEventAda... | kriscfoster/my_rpi_personal_assistant | my_rpi_personal_assistant/app.py | app.py | py | 1,456 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.environ.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_... |
438838700 | from functools import reduce
import numpy as np
from scipy import optimize, linalg
from utils import *
import itertools
# === Configure ===
np.set_printoptions(precision=3, linewidth=120, suppress=True)
# === Constants ===
ineq_coeff = None
# === Memory Locations ===
mem_loc = [2, 2, 2, 2, 7]
ps_A1, ps... | tcfraser/quantum_tools | archive/chsh_violation.py | chsh_violation.py | py | 3,101 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "numpy.set_printoptions",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.trace",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "numpy.dot",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_nu... |
8478882949 | from bs4 import BeautifulSoup
from selenium import webdriver
import requests
import csv
browser = webdriver.Chrome()
URL = "https://search.shopping.naver.com/search/all?query=%EB%B0%80%ED%82%A4%ED%8A%B8%20%EB%96%A1%EB%B3%B6%EC%9D%B4&pagingIndex=1"
URLTEST = "https://search.shopping.naver.com/search/all?query=%EC%83%9D... | setda1494/MyCode | Python/1-1/home/data crawling/MultipleProduct.py | MultipleProduct.py | py | 954 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "bs4.Beautiful... |
34641424745 | import re
import uuid
from django import template
from django.utils.safestring import mark_safe
from django.template.loader import get_template
from django.utils.translation import gettext as _
from dal_select2.widgets import Select2WidgetMixin
register = template.Library()
@register.inclusion_tag('selia/components... | CONABIO-audio/irekua | irekua/selia/templatetags/selia_components.py | selia_components.py | py | 9,880 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.template.Library",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.template",
"line_number": 50,
"usage_type": "name"
},
{
"api_name": "dal_select2.w... |
6609929946 | import pytest
from unittest.mock import MagicMock, patch
from cura.PrinterOutput.Models.ExtruderConfigurationModel import ExtruderConfigurationModel
from cura.PrinterOutput.Models.MaterialOutputModel import MaterialOutputModel
from cura.PrinterOutput.Models.PrinterConfigurationModel import PrinterConfigurationModel
fr... | Ultimaker/Cura | tests/PrinterOutput/TestPrinterOutputDevice.py | TestPrinterOutputDevice.py | py | 3,837 | python | en | code | 5,387 | github-code | 1 | [
{
"api_name": "unittest.mock.patch",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "cura.PrinterOutput.PrinterOutputDevice.PrinterOutputDevice",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 15,
"usage_type": "call"
... |
18481811861 | # -*- coding: utf-8 -*-
"""
Functions to analyze the distances between given number inside a sudoku.
"""
# STD
from collections import defaultdict
import math
import functools
# EXT
import numpy
import matplotlib.pyplot as plt
from scipy.linalg import eigh
# PROJECT
from general import Sudoku, SudokuCollection, read... | Kaleidophon/shiny-robot | experiments/distances.py | distances.py | py | 9,676 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "general.Sudoku",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "numpy.zeros",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "numpy.linalg.norm",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "numpy.linalg",
"line... |
29448425552 | from PIL import Image
from flask import Flask, request, render_template
from glob import glob
import os
from imageTransfer import Transfer
import numpy as np
class PathInfo(object):
def __init__(self):
style_img_paths = glob('static/style/*.jpg') + glob('static/style/*.jpeg') + glob('static/style/*.png')
... | Jieqianyu/styleTransfer | server.py | server.py | py | 2,650 | python | en | code | 4 | github-code | 1 | [
{
"api_name": "glob.glob",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.basename",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "imageTransfer.Transfer",
... |
39994314829 | from GQA.functions.peaks import Peaks
from GQA.functions.rastrigin import Rastrigin
from GQA.functions.eggholder import Eggholder
from GQA.quantum.gqa_function import GQA_function
from GQA.utils.plotutils import plotList,average_evals
from tqdm import tqdm
# r = Rastrigin(-5.12,5.12,-5.12,5.12)
# r.plot_()
# e = Eggh... | simonetome/QuantumGeneticAlgorithm | experiments.py | experiments.py | py | 1,209 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "tqdm.tqdm",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "GQA.quantum.gqa_function.GQA_function",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "GQA.utils.p... |
25092121024 | from __future__ import print_function
import os.path
from time import sleep
from googleapiclient.discovery import build
from google_auth_oauthlib.flow import InstalledAppFlow
from google.auth.transport.requests import Request
from google.oauth2.credentials import Credentials
from vidconvert import getframes
f... | ray1i/googledocs-bad-apple | main.py | main.py | py | 3,375 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "os.path.path.exists",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "os.path",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "google.oauth2.credentia... |
9196596468 | from collections import namedtuple
import altair as alt
import math
import pandas as pd
import streamlit as st
"""
# Welcome to Streamlit!
Edit `/streamlit_app.py` to customize this app to your heart's desire :heart:
If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
fo... | kathleenmariekelly/streamlit-example | streamlit_app.py | streamlit_app.py | py | 7,031 | python | en | code | null | github-code | 1 | [
{
"api_name": "os.environ",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "openai.api_key",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "llama_index.Simpl... |
4295634182 | import streamlit as st
import requests
import streamlit.components.v1 as components
import streamlit.components.v1 as stc
from PIL import Image, UnidentifiedImageError
import PIL.Image
import os
import csv
import pandas as pd
import pymongo
from pymongo import MongoClient
from io import BytesIO
import base... | fl0rch/Pet_Enhacement_Transition | pagina.py | pagina.py | py | 18,889 | python | es | code | 1 | github-code | 1 | [
{
"api_name": "streamlit.set_page_config",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "streamlit.markdown",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "streamlit.write",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "streamli... |
35881891250 | from selenium import webdriver
class ImageMonkeyChromeWebDriver(webdriver.Chrome):
def __init__(self, headless=True, delete_all_cookies=True):
options = webdriver.ChromeOptions()
if headless:
options.add_argument('--headless')
options.add_argument('--disable-dev-shm-usage')
options.add_argument('--no-s... | ImageMonkey/imagemonkey-core | tests/ui/webdriver.py | webdriver.py | py | 451 | python | en | code | 46 | github-code | 1 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "selenium.webdriver",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 5,
"usage_type": "call"
},
{
"a... |
36427186703 | """
199. Binary Tree Right Side View
Medium
1076
46
Favorite
Share
Given a binary tree, imagine yourself standing on the right side of it, return the values of the nodes you can see ordered from top to bottom.
Example:
Input: [1,2,3,null,5,null,4]
Output: [1, 3, 4]
Explanation:
1 ... | fengyang95/OJ | LeetCode/python3/199_BinaryTreeRightSideView.py | 199_BinaryTreeRightSideView.py | py | 1,718 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "collections.deque",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 51,
"usage_type": "call"
}
] |
30992767830 | from fastapi import HTTPException
from fastapi.param_functions import Depends
from fastapi_users.fastapi_users import FastAPIUsers
from sqlalchemy.sql import select, delete
from sqlalchemy.ext.asyncio.session import AsyncSession
from sqlalchemy.sql.expression import desc
from starlette.responses import Response
from fa... | HakierGrzonzo/PBL-polsl-2022 | backend/backend/measurements.py | measurements.py | py | 13,022 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "fastapi_users.fastapi_users.FastAPIUsers",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "fastapi_users.fastapi_users",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "database.Measurements",
"line_number": 30,
"usage_type": "name"
},... |
7074320791 | #!/usr/bin/env python
# coding: utf-8
# # Image_Segmentation
# ## 1. Contours
# ### Contours are continuous lines or curves that bound or cover the full-boundary of an object in an image
# In[1]:
import cv2 #importing necessary libraries
import numpy as np
# In[2]:
image=... | Prasad3617/IMAGE-MANIPULATIONS | Image_Segmentation.py | Image_Segmentation.py | py | 1,228 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "cv2.imread",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "cv2.waitKey",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 3... |
16069403722 | import json
from qwikidata.sparql import (get_subclasses_of_item,
return_sparql_query_results)
import logging
queries_log = logging.getLogger('QUERIES')
class Queries:
@staticmethod
def query(query=None, json_path=None, log="", already_asked=False, limit=None):
if limit ... | lucastorrealba/CC7220 | app/cc7220/extra/queries.py | queries.py | py | 7,412 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "qwikidata.sparql.return_sparql_query_results",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 17,
"usage_type": "call"
},
{
"api_name... |
34305147841 | import random as rn
import os
from art import logo2
def clear():
'''this clears the terminal'''
os.system('cls')
def number_game():
'''This is a number guessing game function'''
print(logo2)
print("Welcome to the number guessing game \nI am thinking of a number between 1 and 100")
numbers = ... | Samthesurf/Practice-and-Learn | guessing_game.py | guessing_game.py | py | 2,677 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.system",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "art.logo2",
"line_number": 13,
"usage_type": "argument"
},
{
"api_name": "random.choice",
"line_number": 16,
"usage_type": "call"
}
] |
15405786193 | #!/usr/bin/env python3
"""
https://adventofcode.com/2022/day/9
"""
from collections import namedtuple
from operator import add, sub
import aoc
PUZZLE = aoc.Puzzle(day=9, year=2022)
class Point(namedtuple('Point', ('x', 'y'))):
"""A point class with overridden operators"""
def __abs__(self):
return ... | trosine/advent-of-code | 2022/day09.py | day09.py | py | 1,929 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "aoc.Puzzle",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "operator.add",
"line_number": 20,
"usage_type": "argument"
},
{
"api_name": "operator.sub",
... |
29499148195 | from flask import render_template, url_for, flash, redirect, request, abort, jsonify, make_response
from app import app, db, bcrypt, mail
from forms import *
from models import *
from flask_login import login_user, current_user, logout_user, login_required
from routes.commonRoutes import commonTempRoute
@app.route("... | alankhoangfr/NilStock_Inventory | routes/supplierRoutes.py | supplierRoutes.py | py | 5,120 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "routes.commonRoutes.commonTempRoute",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "app.app.route",
"line_number": 10,
"usage_type": "call"
},
{
"api_name"... |
23033727735 | # gets grupy data and runs a plotting function
import matplotlib.pyplot as plt
def GruPlot( prefix, q_labels, gru_data):
fig, axes = plt.subplots(nrows=1, ncols=1)
x = []
lab = []
for i in xrange( len(q_labels) ):
lab.append( q_labels[i][1] )
x.append( q_labels[i][0] )
plt.setp(axes, xticks=x, xticklabel... | alex-miller-0/grupy | Versions/1.0/grupy/GruPlot.py | GruPlot.py | py | 561 | python | en | code | 5 | github-code | 1 | [
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.setp",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "mat... |
4474723624 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Dec 27 19:24:35 2020
@author: Scott T. Small
This module demonstrates documentation as specified by the `NumPy
Documentation HOWTO`_. Docstrings may extend over multiple lines. Sections
are created with a section header followed by an underline of equal... | stsmall/abc_scripts2 | project/stat_modules/sumstats.py | sumstats.py | py | 12,274 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "allel.HaplotypeArray",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "allel.SortedIndex",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "project.stat_modules.popstats.pi_window",
"line_number": 50,
"usage_type": "call"
},
{
"ap... |
30675767566 | from .values import *
from docx.shared import Pt
from docx.enum.text import WD_PARAGRAPH_ALIGNMENT
def setParagraphType(paragraph):
if paragraph[:7].upper() == CHAPTER_TEXT:
type = CHAPTER_TEXT
elif paragraph[:10].upper() == DEDICATION_TEXT:
type = EXTRA_SECTION
elif paragraph[:14].upper()... | Cristian-G-P/Writer-Apps | Flask-Web-App-Tutorial-main/website/callistoAuxFunctions.py | callistoAuxFunctions.py | py | 7,872 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "docx.shared.Pt",
"line_number": 87,
"usage_type": "call"
},
{
"api_name": "docx.shared.Pt",
"line_number": 89,
"usage_type": "call"
},
{
"api_name": "docx.shared.Pt",
"line_number": 91,
"usage_type": "call"
},
{
"api_name": "docx.enum.text.WD_PARAGR... |
22549796737 | from PIL import Image
import PIL.ImageOps
from shutil import move
def alpha_channel_upscale(inpath, outpath, workingImage, settings):
"""Opens the current working image as well as the original image, resizes (BICUBIC) the original image and copies the alpha channel"""
originalImage = Image.open(workingImage.or... | RainbowRedux/TextureUpscalingPipeline | TextureUpscaler/AlphaChannelUpscale.py | AlphaChannelUpscale.py | py | 833 | python | en | code | 5 | github-code | 1 | [
{
"api_name": "PIL.Image.open",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "shutil.move",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number"... |
73587061154 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Nov 26 2017
Description:
Input: symbols of chosen stocks
Randomly assign weights to given stocks.
Calculate portfolio return, volatility, and Sharp Ratio.
Output: portfolio with maximum SR or minimum volatility
@author: chenkai
"""
import nump... | chenkai0208/Quantitative_Finance_in_Python | portfolio_optimization.py | portfolio_optimization.py | py | 3,072 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "pandas.read_csv",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pandas_datareader.data.DataReader",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pandas_datareader.data",
"line_number": 25,
"usage_type": "name"
},
{
"api_name... |
18187098239 | import re
import sqlite3
import os
import glob
import datetime as dt
import bokeh.models
import xarray
import numpy as np
from functools import lru_cache
from forest.exceptions import FileNotFound, IndexNotFound
from forest.old_state import old_state, unique
import forest.util
import forest.map_view
from forest import ... | MetOffice/forest | forest/drivers/eida50.py | eida50.py | py | 11,480 | python | en | code | 38 | github-code | 1 | [
{
"api_name": "numpy.datetime64",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.isnat",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.argmax",
"line_num... |
23670216784 | import pandas as pd, numpy as np
import re
import pickle
dataset = pd.read_csv("Restaurant_Reviews.csv")
dataset['Review']
import nltk
nltk.download('stopwords')
from nltk.corpus import stopwords
from nltk.stem.porter import PorterStemmer
corpus = []
for i in range(0, 1000):
review = re.sub('[^a-zA... | MM1026-DS/Ml-web-nlp-app | app_1.py | app_1.py | py | 1,549 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "pandas.read_csv",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "nltk.download",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "nltk.stem.porter.PorterStemmer",
... |
23015193717 | from dataclasses import field
from rest_framework import serializers
from django.contrib.auth import get_user_model
import requests
import json
from apps.core.models import UserRole
from apps.core.serializers import MyAccountSerializer, UserAppointment, UserSerializer
from apps.profiles.serializers import CounsellorPr... | rupendra-p/ekurakani | apps/appointment/serializers.py | serializers.py | py | 4,487 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 22,
... |
24412532866 | from appFile import request, app, ma, cross_origin
from models.index import db, Events, Timeline
from flask import jsonify
from controllers.auth import JWTcheck
class EventSchema(ma.Schema):
class Meta:
fields = ('id', 'name', 'info', 'timeline_id', 'day', 'month', 'year', 'time', 'date_created')
event_schema =... | Snugles/onTimeline | server/controllers/events.py | events.py | py | 2,173 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "appFile.ma.Schema",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "appFile.ma",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "appFile.request.json",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "appFile.req... |
11343329447 | import re
from utils import logger
BIO_PATTERN = re.compile(r'\[(.+?)\](_[A-Z]{3}_)')
BIO_BEGIN = re.compile(r'_[A-Z]{3}_\[')
BIO_END = re.compile(r'\]_[A-Z]{3}_')
def pre_process(text):
text = BIO_PATTERN.sub(r'\2[\1]\2', text)
i = 0
res = []
label = ''
is_begin = False
is_inner = False
... | henryhyn/caesar-next | ner/ner_utils.py | ner_utils.py | py | 2,017 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "re.compile",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "utils.logger.info",
"line_number": ... |
37749262526 | import os
import requests
import shutil
import boto3
from PIL import Image
import urllib.request
access_key_src = os.environ.get("AWS_ACCESS_KEY_ID")
secret_key_src = os.environ.get("AWS_SECRET_ACCESS_KEY")
region_name = os.environ.get("AWS_REGION_NAME")
bucket_name = os.environ.get("AWS_MEDIA_BUCKET_NAME")
bucket_fol... | trungannl/globallink-upload-media-master | uploadwebp/cron.py | cron.py | py | 2,536 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.environ.get",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_num... |
186882541 | import json
import pandas as pd
import numpy as np
def processing_title(title):
return title.upper()
def processing_author(author):
return author.title()
def processing_discount(discount):
try:
discount = discount.replace('%dcto', '')
return int(discount)
except ValueError:
... | avilanac/book_tracker_buddy | processing.py | processing.py | py | 2,114 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.nan",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "numpy.nan",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_... |
33820929017 | from werkzeug.utils import secure_filename
import sqlite3
import json
import os
class DatabaseHelper:
"""
This help to manage databases.
"""
def __init__(self) -> None:
pass
def save_image(self, main_dir: str, user_token: str, images: dict) -> bool:
"""
save_image() will ... | s3h4n/CVIS | packages/db_helper/db_helper.py | db_helper.py | py | 1,171 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.mkdir",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path.splitext",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "werkzeug.utils.secure_filename... |
35942244086 | import heapq
from collections import defaultdict
from typing import List
start_and_end_times = [[4, 7], [2, 5], [1, 3], [5, 8]]
# test_tuples = [(1, 5), (3, 4), (3, 3), (2, 1), (2, 7), (1, 1)]
# heapq.heapify(test_tuples)
def max_concurrency_best(s):
"""Naive method to solve max_concurrency. Passes all tests!"... | eforgacs/schoolSandbox | fundamental_algorithms/Midterm/max_concurrency.py | max_concurrency.py | py | 7,345 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "heapq.heapify",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "heapq.heappush",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "heapq.heappushpop",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "heapq.heappop",
"l... |
70205998754 | from typing import List
from .. import DeviceModel, _template_env
from . import signed_weight
class IntegratorModel(DeviceModel):
ng_spice_model_name = 'int'
def __init__(
self,
model_name: str,
in_offset: float = 0.0,
gain: float = 1.0,
out_lower_limit: float = -10.0,... | hammal/cbadc | src/cbadc/circuit/models/integrator.py | integrator.py | py | 2,546 | python | en | code | 8 | github-code | 1 | [
{
"api_name": "typing.List",
"line_number": 18,
"usage_type": "name"
}
] |
71773999394 | """EJERCICIO 3
El día juliano correspondiente a una fecha es un número entero que indica los días que han
transcurrido desde el 1 de enero del año indicado. Queremos crear un programa principal que
al introducir una fecha nos diga el día juliano que corresponde. Para ello podemos hacer las
siguientes subrutinas:
Leer... | dvidals/python | ejercicios_clase_interfaces/ejer_funciones3.py | ejer_funciones3.py | py | 2,974 | python | es | code | 0 | github-code | 1 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 86,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 86,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 87,
"usage_type": "call"
},
{
"api_name"... |
26481678278 | import torch
import gym
from model import Model
from collections import deque
import numpy as np
from env_wrapper import FlappyBirdEnv
env = FlappyBirdEnv(render_mode = "human")
policy = Model(4, 2)
def reinforce(policy, n_training_episodes, max_t, gamma, print_every):
is_pick = True
scores_deque = deque(maxl... | qvd808/flappy-bird-policy-gradient | flappy_bird_env.py | flappy_bird_env.py | py | 2,299 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "env_wrapper.FlappyBirdEnv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "model.Model",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.random.u... |
22374085933 | from PyQt5.QtWidgets import QMainWindow, QAction, qApp, QApplication, QFrame
from PyQt5.QtWidgets import QApplication, QGridLayout, QLabel, QMainWindow, QPushButton, QWidget, QTableWidget, QTableWidgetItem, QMessageBox, QMenuBar, QLineEdit
from PyQt5.QtGui import QBrush, QColor
from PyQt5 import QtCore
from matplot... | celee1/expense-tracker | expense_tracker.py | expense_tracker.py | py | 39,348 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "matplotlib.use",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QMainWindow",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "sqlite3.connect",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWi... |
26839905654 | # before use run in command shell:
# pip install pipenv
# pipenv install requests
# pipenv install BeautifulSoup
# pipenv install lxml
# pip install BeautifulSoup
# pip install beautifulsoup4
# pip install lxml
import requests
import re
from bs4 import BeautifulSoup
import json
# r = requests.get('http://immunet.cn... | lightweave/CRISPR-dynamics | crawler/hmmcas.py | hmmcas.py | py | 2,986 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "requests.post",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number":... |
10599399107 | import praw
import pause
posts = []
url_set = set()
message_user = 'VirtualLeak'
reddit = praw.Reddit('user')
subreddit = reddit.subreddit('friends')
# Output post data in markdown table format
def output():
format_title = '|'.join(['title', 'author', 'subreddit', 'url', '# of comments\n'])
format_columns = ... | shaneavila/reddit-alert | reddit_scraper.py | reddit_scraper.py | py | 1,274 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "praw.Reddit",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pause.hours",
"line_number": 34,
"usage_type": "call"
}
] |
71681471074 | # -*- coding: utf-8 -*-
import logging
import werkzeug
from odoo import SUPERUSER_ID, api, http, _
from odoo import registry as registry_get
from odoo.addons.web.controllers.main import (login_and_redirect, ensure_db, set_cookie_and_redirect)
from odoo.exceptions import AccessDenied
_logger = logging.getLogger(__name_... | chenrongxu/login_sso | controllers/controllers.py | controllers.py | py | 1,975 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "odoo.http.Controller",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "odoo.http",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "odoo.registry",
... |
14991617651 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
##############################################
# Hardware
# - Windows 11
# - NI USB-6008
# Erst NI-DAQmx 19.5 installiert
# (aktuelle Version 2023 Q2 zeigt die Karte nicht an)
# (Die Unterstützung für Net Framework und C++ nicht installieren... | alexwohlers/ni_daq | scripts/ni_read_voltage_buffered.py | ni_read_voltage_buffered.py | py | 2,120 | python | de | code | 0 | github-code | 1 | [
{
"api_name": "pprint.PrettyPrinter",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "nidaqmx.Task",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "nidaqmx.constants.Acquisi... |
44912301952 | import sys
from rdkit import Chem
from rdkit.Chem import AllChem
import glob
import shutil
import os
import multiprocessing as mp
nprocs = 4
except_dir_path = os.path.abspath(os.path.dirname(__file__)) + "\except_mol"
def optimize(mol_file):
try:
m = Chem.MolFromMolFile(mol_file)
m = Chem.AddHs(m)
AllChem.Em... | miya-dai/system_design | scripts/rdk.py | rdk.py | py | 829 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.path.abspath",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "rdkit.Chem.MolFromMolFil... |
45888664352 | from starlette.endpoints import HTTPEndpoint
from starlette.responses import UJSONResponse
from api.utils import is_admin
from db.conn import get_conn
from db.replica import Replica
from db.replica_files import ReplicaFiles
class ReplicasHandlers(HTTPEndpoint):
async def post(self, request):
is_admin(req... | wooque/openpacs | backend/api/replicas.py | replicas.py | py | 1,811 | python | en | code | 4 | github-code | 1 | [
{
"api_name": "starlette.endpoints.HTTPEndpoint",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "api.utils.is_admin",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "db.conn.get_conn",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "... |
29599272508 | import argparse
import cv2
import logging as log
import sys
import time
import socket
import paho.mqtt.client as mqtt
import json
import math
import os
from inference import Network
# Set the MQTT server environment variables
HOSTNAME = socket.gethostname()
IPADDRESS = socket.gethostbyname(HOSTNAME)
MQTT_HOST = IPAD... | jonathanyeh0723/OpenVINO_People_Counter_App | main.py | main.py | py | 7,735 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "socket.gethostname",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "socket.gethostbyname",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "paho.mqtt.client.Client",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "paho.... |
6899169608 | # %%
# Shi-TOmasi角点检测（一种适应追踪的角点检测方式）
import numpy as np
import cv2
from matplotlib import pyplot as plt
# %%
img = cv2.imread('data/calibresult.png')
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
"""goodFeaturesToTrack函数：
参数： （1）gray：输入灰度图
（2） 25：想要检测的角点数量
（3） 0：角点最低水平 （0到1）
（4） 10：两... | vvgoder/opencv_learning_chinese | opencv学习文件/9.Shi-Tomas角点检测.py | 9.Shi-Tomas角点检测.py | py | 747 | python | zh | code | 2 | github-code | 1 | [
{
"api_name": "cv2.imread",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "cv2.goodFeaturesToTrack"... |
44258172133 | import altair as alt
import pandas as pd
import streamlit as st
import aws
import driver
import requests
import json
import os
from textblob import TextBlob
import datetime
import time
credentials_path = "credentials.json"
auth_dict = {
"CONSUMER_KEY": "",
"CONSUMER_SECRET": "",
"ACCESS_TOKEN": "",
"A... | enpuyou/aws-fastapi-streamlit | src/visualization.py | visualization.py | py | 13,343 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "streamlit.warning",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",
... |
24765487770 | import matplotlib.pyplot as plt
import cv2
import numpy as np
from os.path import join, basename
from collections import deque
from utils import grayscale, canny, gaussian_blur, hough_lines, get_slope, get_bias, draw_lines, weighted_img
# region of interest
def region_of_interest(image):
height = image.shape[0]
... | namigaliyev/road-lane-tracking | lane_detection.py | lane_detection.py | py | 4,915 | python | en | code | 4 | github-code | 1 | [
{
"api_name": "numpy.array",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.int32",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros_like",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "cv2.fillPoly",
"lin... |
8985294273 | from pycocotools.coco import COCO
import numpy as np
from tqdm import tqdm
import matplotlib.pyplot as plt
import cv2 as cv
# =======================================
# =======================================
obj_class = 255
dataDir='E:/00_graduation project/DataSet/COCO/' # 数据集根目录
dataType='val2017' # 选择图像类型
annFile='... | Gao-Jinlong/Graduation-Project | U-Net/utils/coco_to_voc.py | coco_to_voc.py | py | 3,911 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.array",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.int32",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "cv2.fillPoly",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_num... |
23205933467 | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
from dgl.base import DGLError
from dgl.ops import edge_softmax
import dgl.function as fn
class Identity(nn.Module):
"""A placeholder identity operator that is argument-insensitive.
(Identity has already been supp... | taotianli/gin_model.py | examples/pytorch/tgn/modules.py | modules.py | py | 18,905 | python | en | code | 5 | github-code | 1 | [
{
"api_name": "torch.nn.Module",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "torch.nn.Module",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"li... |
69890553314 | import agent.potil_lstm as agent
from expert_dataloader import ExpertLoader, ExpertLoader_each_step
import agent.utils as utils
import sys
sys.path.append('/catkin_workspace/src/ros_kortex/kortex_examples/src/move_it')
import torch
torch.backends.cudnn.benchmark = True
from mpl_toolkits import mplot3d
import numpy as n... | ZDDWLIG/KinovaArm_PegInsert_DRL | BC_train.py | BC_train.py | py | 4,776 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "sys.path.append",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "torch.backends",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "agent.potil_lstm.POTIL... |
12316864652 | import matplotlib.pyplot as plt
x_list = []
y_list = []
def process(line):
### transformation matix 로 궤적 얻기 ##############################################################
pose = line.strip().split()
x_list.append(float(pose[3])) # position
y_list.append(float(pose[11]))
######... | owl-d/Visual_Odometry_Basic | 05_trajectory_visualization/kitti_odom_visual.py | kitti_odom_visual.py | py | 823 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.title",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "matp... |
71276797475 | # Python standard libraries
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import json
import sqlite3
# Third-party libraries
from flask import Flask, redirect, request, url_for, render_template
from flask_login import (
LoginManager,
cu... | ColtAllen/codex_vitae_app | codex_vitae/app.py | app.py | py | 4,766 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.getenv",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "etl.gcp_utils.access_secret",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "etl.gcp_utils.access_secret",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "etl... |
8533855613 | import getopt
import sys
from prisma.calibrate import main_loop
# parse arguments
try:
opts, args = getopt.getopt(sys.argv[1:], "d:", ["days_to_sync="])
except getopt.GetoptError:
print("Please provide proper arguments.")
print("Usage: $python3 sync_fripon.py --d=<days>")
sys.exit(2)
for opt, arg in ... | Matteo04052017/PRISMA_automation | src/run_calibration.py | run_calibration.py | py | 441 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "getopt.getopt",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "getopt.GetoptError",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"lin... |
4752869794 | #!/usr/bin/env python
""" This module has api-key-specific methods """
import argparse
from api_request.request import *
class UNIQUE_ID():
def __init__(self, director_url):
self.base_url = director_url + "/v3" + "/settings/websocketproxy.unique.identity"
requestobj = Data('', '')
self.... | mayadata-io/oep-e2e | api_testing/unique-id/unique-id.py | unique-id.py | py | 964 | python | en | code | 6 | github-code | 1 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 22,
"usage_type": "call"
}
] |
16516618905 | from __future__ import absolute_import, division, print_function,\
with_statement
import collections
import errno
import socket
import logging
import ssl
import sys
from tornado import ioloop
from tornado.log import gen_log
from tornado.netutil import ssl_wrap_socket, ssl_match_hostname, \
SSLCertificateError... | zinic/pyrox | pyrox/tstream/iostream.py | iostream.py | py | 20,656 | python | en | code | 37 | github-code | 1 | [
{
"api_name": "tornado.platform.posix._set_nonblocking",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "errno.EWOULDBLOCK",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "errno.EAGAIN",
"line_number": 27,
"usage_type": "attribute"
},
{
"... |
42327230 | # important: process ids are global, i. e. are preserved (same pid for each instance) ==> <> os-managed pid
import itertools
import json
from datetime import timedelta, datetime
from typing import Sequence, Tuple, Dict
import os
import locale
import sys
import argparse
root, filename = os.path.split(__file__)
proj_roo... | raffaelfoidl/ProvCaptPyEnvs | instances/large/inst_l.py | inst_l.py | py | 10,789 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.path.split",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numbe... |
19046607125 | from iqoptionapi.stable_api import IQ_Option
import iqoptionapi.country_id as Pais
import time, logging, json, configparser
from datetime import datetime, date, timedelta
from dateutil import tz
import sys
#CODIGO PARA DESATIVAR DEBUG OU logging.ERROR
#logging.disable(level=(logging.DEBUG))
# Credenciais
API = IQ_Op... | Cleoir-Dev/iqoptionapi | tests/bot_CopyTrade.py | bot_CopyTrade.py | py | 8,285 | python | pt | code | 0 | github-code | 1 | [
{
"api_name": "iqoptionapi.stable_api.IQ_Option",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 37,
"usage_type": "call"
},
{
"api_name":... |
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