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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
45608542686 | import os
import pytest
from pycarta.api import create_agent
@pytest.fixture
def cartaAuth():
if "CARTA_AUTH" not in os.environ:
print("Set 'export CARTA_AUTH=[Carta auth token]' before testing.")
raise ValueError(
"Environment variable CARTA_AUTH must be set to run tests."
)
... | jessec1001/pycarta | tests/common_fixtures.py | common_fixtures.py | py | 579 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.environ",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "pytest.fixture",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
... |
31678821422 | from fastapi import FastAPI
from fastapi.responses import StreamingResponse
from fastapi.middleware.cors import CORSMiddleware
from dotenv import load_dotenv
import uvicorn
from .models import ChatData, TestData
from .chat import introduce, ask, generate
app = FastAPI()
load_dotenv()
origins = [
"*"
]
app.add_m... | IsaacOrzDev/personal-chat-api | app/main.py | main.py | py | 867 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "dotenv.load_dotenv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "fastapi.middleware.cors.CORSMiddleware",
"line_number": 18,
"usage_type": "argument"
},
{
"api_... |
9660784063 | # https://www.acmicpc.net/problem/12891
import sys
from collections import deque
input = sys.stdin.readline
def solve():
n, l = map(int, input().split()) # n = 숫자의 갯수, l 슬라이딩 윈도우의 크기
numbers = list(map(int, input().split()))
dq = deque()
for i in range(n):
# 맨 뒤에 있는 노드의 value가, numbers[i] 보... | java-squid/lets-algorithm | 03--data-structure/han/baekjoon/11003.py | 11003.py | py | 1,108 | python | ko | code | 0 | github-code | 6 | [
{
"api_name": "sys.stdin",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "collections.deque",
"line_number": 11,
"usage_type": "call"
}
] |
73510613307 |
from collections import defaultdict
from collections import deque
graph = defaultdict(list)
for _ in range(int(input())):
arr = list(map(int, input().split()))
graph[arr[0]].append(arr[1])
graph[arr[1]].append(arr[0])
tt = [x for x in graph if len(graph[x]) == 1]
queue = deque([tt[0]])
visited = set([... | yonaSisay/a2sv-competitive-programming | mailstamps.py | mailstamps.py | py | 532 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.defaultdict",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 15,
"usage_type": "call"
}
] |
6474793905 | from __future__ import annotations
from typing import List, Iterator
from collections import deque
def not_sums(numbers: List[int], lookback: int = 25) -> Iterator[int]:
q = deque()
for n in numbers:
if len(q) < lookback:
q.append(n)
else:
sums = {a + b
... | joelgrus/advent2020 | advent2020/day09.py | day09.py | py | 1,506 | python | en | code | 29 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "collections.deque",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "typing.Iterator",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_nu... |
30518654005 | from typing import List
import sys
class Solution:
def minimumInteger(self, N : int, A : List[int]) -> int:
# code here
sum=0;
for a in A :
sum+=a;
mn = sys.maxsize;
for a in A :
if sum<=N*a :
mn = min(mn,a);
return mn;
... | Vivek-8877/GeeksForGeeks-Solution | March 2023/Day 30/Minimum Integer/minimum-integer.py | minimum-integer.py | py | 891 | python | en | code | 11 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "sys.maxsize",
"line_number": 10,
"usage_type": "attribute"
}
] |
18432225771 | from scripts.crawler import SeleniumRequest
from scripts.crawler.parser import infoParser, topidParser
from movies.models import Movie, MovieReviewDummy
from tqdm import tqdm
import os
from urllib.request import urlretrieve
from PIL import Image
def run():
request = SeleniumRequest()
img_folder_path = '.... | HEEpage/final_mrs | scripts/movie_state_crawl.py | movie_state_crawl.py | py | 5,017 | python | ko | code | 3 | github-code | 6 | [
{
"api_name": "scripts.crawler.SeleniumRequest",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "scripts.crawler.parser.topidParser",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "movies.models.Movie.objects.filter",
"line_number": 37,
"usage_type": ... |
39463963867 | # - need to read from kafka, topic
# - need to write to cassandra, table
from cassandra.cluster import Cluster
from kafka import KafkaConsumer
from kafka.errors import KafkaError
import argparse
import atexit
import json
import logging
import time
import datetime
# - default kafka topic to read from
topic_name = 'st... | xt435/real-time-analytics-system | cassandra/data-storage.py | data-storage.py | py | 4,234 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "logging.basicConfig",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "json.loads",... |
9264296962 | import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import config
def get_vertices_in_sensor_range(dist, plot=True, plot_sensors=True):
"""
Get vertices that are close to at least one sensor.
"""
import mne
from conpy.forward import select_vertices_in_sensor_range
fwd = mn... | wmvanvliet/beamformer_simulation | plotting_functions.py | plotting_functions.py | py | 21,307 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "mne.read_forward_solution",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "config.fname",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "conpy.forward.select_vertices_in_sensor_range",
"line_number": 17,
"usage_type": "call"
},
... |
29001063614 | from pathlib import Path
from setuptools import find_packages, setup
from xycrypto import __version__, __author__
readme = Path(__file__).with_name('README.md').read_text()
classifiers = [
'License :: OSI Approved',
'License :: OSI Approved :: MIT License',
'Operating System :: OS Independent',
'Pro... | xymy/xycrypto | setup.py | setup.py | py | 1,132 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pathlib.Path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "setuptools.setup",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "xycrypto.__version__",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "xycrypto.__author__... |
26598543911 | # transform from recipe to greek
from parse import wrapper, remove_punc_lower, food, direction, make_recipe_obj
import string
from collections import deque
from get_key_ingredient import get_key, get_key_food
def lookup(ing, lst):
name_lst = ing.name.lower().translate(str.maketrans('', '', string.punctuation)).sp... | emilyjenkins08/Recipes | transform_greek.py | transform_greek.py | py | 22,039 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "string.punctuation",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "parse.food",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "parse.food",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "parse.food",
"line_n... |
14634997629 | import api.receipt_item
from common import utils
from entity.Receipt import Receipt
def build(receipt: Receipt):
api_receipt_items = build_receipt_items(receipt)
total_sales_taxes_in_units = utils.get_price_in_units(price_in_cents=receipt.get_total_sales_taxes())
total_amount_in_units = utils.get_price_in... | tatma/simple-receipt-api | api/receipt.py | receipt.py | py | 774 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "entity.Receipt.Receipt",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "common.utils.get_price_in_units",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "common.utils",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "comm... |
5038140181 | import dash
import dash_core_components as dcc
import dash_html_components as html
import plotly.graph_objects as go
from dash.dependencies import Input,Output
from numpy import random
import pandas as pd
app=dash.Dash()
df=pd.read_csv(r'C:/Users/PRINCE/Desktop/covid19 colab/mpg.csv')
# ADDING NOISE, JITTER
df['year... | stephenprin/Visualization-of-dataset-MPG- | main.py | main.py | py | 1,219 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "dash.Dash",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.random.randint",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"lin... |
40371126022 | from typing import Union, Tuple, Dict
import pygame
from pygame_gui.core import ObjectID
from pygame_gui.core.interfaces import IContainerLikeInterface, IUIManagerInterface
from pygame_gui.core import UIElement
from pygame_gui.core.utility import premul_alpha_surface
class UIImage(UIElement):
"""
Displays a... | Martian2024/PyGame_Project | venv/Lib/site-packages/pygame_gui/elements/ui_image.py | ui_image.py | py | 3,460 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "pygame_gui.core.UIElement",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "pygame.Rect",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "pygame.surface",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "pygame... |
5089403437 | import threading
from tkinter import * # GUI
import pyglet
import chatterbot
import pyttsx3 as pp # Text to Audio
import speech_recognition as s # Speech to Speech
from chatterbot.trainers import ListTrainer
def run1():
animation = pyglet.image.load_animation('source.gif')
animSprite = pyglet.sp... | Sudiptobanerjee123/Patent_Go | Test_final.py | Test_final.py | py | 3,152 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pyglet.image.load_animation",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pyglet.image",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "pyglet.sprite.Sprite",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "py... |
1815407241 | from __future__ import absolute_import
import os
import ipdb
import matplotlib
from tqdm import tqdm
from torch.utils import data as data_
from utils.config import opt
from data.dataset import Dataset, TestDataset, inverse_normalize
# from model.faster_rcnn_vgg16 import FasterRCNNVGG16
from model.faster_rcnn_resnet50 ... | chuliuT/simple-faster-rcnn-annotations | train.py | train.py | py | 4,508 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "resource.getrlimit",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "resource.RLIMIT_NOFILE",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "resource.setrlimit",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "res... |
30997826470 | """ apps/products/views_images.py """
import os
from django.contrib.auth.decorators import login_required
from django.http import HttpResponseRedirect
from django.shortcuts import get_object_or_404, render
from django.urls import reverse
from .forms import ImageForm
from .models import Product
def images_list(requ... | BrRoman/editor | editor/apps/products/views_images.py | views_images.py | py | 2,984 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "models.Product.objects.filter",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "models.Product.objects",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "models.Product",
"line_number": 16,
"usage_type": "name"
},
{
"api_name... |
20543171056 | import warnings
from datetime import datetime
from typing import Callable, Dict, NamedTuple, Optional, Tuple
import jax
from jax import numpy as jnp
from tqdm import tqdm
from mcx.inference.adaptation import (
StanWarmupState,
stan_hmc_warmup,
stan_warmup_schedule,
)
from mcx.inference.integrators import ... | rlouf/mcx | mcx/inference/hmc.py | hmc.py | py | 12,607 | python | en | code | 327 | github-code | 6 | [
{
"api_name": "typing.NamedTuple",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "jax.numpy.DeviceArr... |
30070241838 | import os
import sys
assert sys.version_info >= (3, 5) # make sure we have Python 3.5+
from pyspark import SparkConf, SparkContext
from transformers import (
TokenClassificationPipeline,
AutoModelForTokenClassification,
AutoTokenizer,
)
from transformers.pipelines import AggregationStrategy
from transform... | irisjiayuema/big-data-lab-I-final | NLP/Trials/step1_rdd.py | step1_rdd.py | py | 3,397 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "sys.version_info",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "transformers.TokenClassificationPipeline",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "transformers.AutoModelForTokenClassification.from_pretrained",
"line_number": 2... |
41853273092 | import itertools
from absl.testing import parameterized
import tensorflow as tf
from official.nlp.modeling.layers import kernel_attention as attention
_FEATURE_TRANSFORM = ['relu', 'elu', 'exp', 'l2']
_REDRAW = [True, False]
_TRAINING = [True, False]
_IS_SHORT_SEQ = [True, False]
_BEGIN_KERNEL = [0, 512]
class Ke... | sek788432/Waymo-2D-Object-Detection | input/models/official/nlp/modeling/layers/kernel_attention_test.py | kernel_attention_test.py | py | 3,531 | python | en | code | 79 | github-code | 6 | [
{
"api_name": "tensorflow.test",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "absl.testing.parameterized.TestCase",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "absl.testing.parameterized",
"line_number": 16,
"usage_type": "name"
},
... |
10693633838 | from loguru import logger
import sys
__all__ = ['get_logger']
def get_logger(name: str = None, level: str = "DEBUG", rotation: str = '500 MB', retention: str = '3 days'):
sink = sys.stderr if name is None else name
configs = dict(sink=sink, format="{time:YYYY-MM-DD HH:mm:ss:SSSS} {level} {module}.py: {messag... | mikuh/naive-rllib | naive_rllib/utils/default_logger.py | default_logger.py | py | 493 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.stderr",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "loguru.logger.add",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "loguru.logger",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "loguru.logger",
"l... |
72769187067 | """
Compare values of loss functions between different models:
numpy, pytorch
"""
import numpy as np
import os
import matplotlib.pyplot as plt
from plot_utils import save_plot, set_plot_style
from q1_plot_data import TYPE1_EDGE_COLOR, TYPE2_EDGE_COLOR
from itertools import cycle
def load_losses_from_cache(cache_... | evgenyneu/ASP5020_data_analysis_problem_sets | ps5/code/compare_losses_between_models.py | compare_losses_between_models.py | py | 2,349 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.load",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.subplots",
... |
27261265756 | import sys
import telethon
from telethon import functions
from telethon.sync import TelegramClient, events
from .utils import ValidatePhone, LOGIN_MESSAGE
class UserManager:
"""
"""
__api_hash = None
__api_id = None
__session = None
def __init__(self, api_id, api_hash, session):
sel... | mzarchi/telethon-scripts | codes/user.py | user.py | py | 3,540 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "utils.LOGIN_MESSAGE",
"line_number": 26,
"usage_type": "argument"
},
{
"api_name": "utils.ValidatePhone",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "telethon.sync.Te... |
14177915562 | """Facilitates process of querying CosmosDB container."""
import http.client as http_client
import logging
import sys
from typing import Callable
import azure.functions as func
from .modules import get_query_from_body, get_query_items, connection_setup
from .modules.custom_error import QueryCosmosDBError
log = logg... | wieczorekgrzegorz/ksef-krportal-communication | modules/query_cosmosdb/query_cosmosdb.py | query_cosmosdb.py | py | 3,895 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "azure.functions.HttpRequest",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "azure.functions",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "ty... |
25725025659 | from tkinter import *
import pandas
import random
from PIL import Image, ImageTk
BACKGROUND_COLOR = "#B1DDC6"
new_dict = {}
to_learn = {}
try:
data = pandas.read_csv("data/all_word_I_know.CSV UFT-8(Comma delimited)")
except FileNotFoundError:
original_data = pandas.read_csv("data/flash_csv21.csv")
to_learn... | mahmood-212/flash-card | main.py | main.py | py | 3,139 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
... |
825051415 | # -*- coding: utf-8 -*-
from PySide2 import QtCore, QtWidgets
from hardware import (
ArduinoUno,
KeithleySource,
KeithleyMultimeter,
OceanSpectrometer,
ThorlabMotor,
)
from tests.tests import (
MockArduinoUno,
MockKeithleySource,
MockKeithleyMultimeter,
MockOceanSpectrometer,
M... | GatherLab/OLED-jvl-measurement | src/goniometer_measurement.py | goniometer_measurement.py | py | 30,555 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "PySide2.QtCore.QThread",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "PySide2.QtCore",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "PySide2.QtCore.Signal",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "PySi... |
36170900911 | import numpy as np
import pandas as pd
from sklearn.compose import ColumnTransformer
from sklearn.preprocessing import OneHotEncoder
from sklearn.ensemble import RandomForestRegressor
def main():
# remove buildingYear for the time being because of the missing values
df = pd.read_csv('data/immobiliare_ads_Ca... | framoni/real-estate | rf.py | rf.py | py | 5,157 | python | it | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.isna",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sklearn.compose.ColumnTransformer",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "sklearn... |
3226080791 | import smtplib, ssl
import argparse
import pandas as pd
import os
from glob import glob
from smtpd import DebuggingServer
import asyncore
import threading
from time import sleep
from email.message import EmailMessage
import mimetypes
from string import Template
from tqdm import tqdm
import sys
import subprocess as sp
f... | yairfax/EmailMerge | driver.py | driver.py | py | 7,908 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "subprocess.check_output",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "subprocess.CalledProcessError",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 30,
"usage_type": "call"
},
{
... |
18308259882 | import os
import uuid
import zipfile
from os.path import join, dirname
from tempfile import gettempdir
from unittest import TestCase
import pandas as pd
import numpy as np
from aequilibrae import TrafficAssignment, TrafficClass, Graph, Project, PathResults
from aequilibrae.matrix import AequilibraeMatrix
from ...data ... | AequilibraE/aequilibrae | tests/aequilibrae/paths/test_select_link.py | test_select_link.py | py | 10,277 | python | en | code | 140 | github-code | 6 | [
{
"api_name": "unittest.TestCase",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "os.environ",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_nu... |
12064694605 | import sys
import math as m
from pyspark.sql import functions as f
from pyspark.sql import SparkSession
from pyspark.sql import *
from pyspark.sql.types import IntegerType, FloatType
from pyspark.ml.regression import LinearRegression
from pyspark.ml.evaluation import RegressionEvaluator
from pyspark.ml.pipeline import ... | rtbanks/PracticalApp2 | PracticalApplication.py | PracticalApplication.py | py | 5,860 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pyspark.sql.SparkSession.builder.appName",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql.SparkSession",
"line_number": 14,
"usage_type"... |
43497341909 | import pytest
import json
from flask import json, Response
from bs4 import BeautifulSoup
from werkzeug.utils import cached_property
from app import create_app
class TestingResponse(Response):
@cached_property
def json(self):
assert self.mimetype == 'application/x-www-form-urlencoded'
return js... | minelminel/sirajify | src/test.py | test.py | py | 1,456 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Response",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "flask.json.loads",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.json",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "werkzeug.utils.cached_prope... |
29771971996 | #!/usr/bin/env python
# coding: utf-8
# # Plotting Tiles
#
# ## Objectives
#
# Introduce several different methods for plotting ECCO v4 fields that are stored as tiles in `Datasets` or `DataArrays`. Emphasis is placed on fields stored on the ECCO v4 native llc90 grid and loaded from NetCDF tile files.
#
# ## Intro... | ECCO-GROUP/ECCO-v4-Python-Tutorial | Tutorials_as_Python_Files/ECCO_v4_Plotting_Tiles.py | ECCO_v4_Plotting_Tiles.py | py | 26,876 | python | en | code | 44 | github-code | 6 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line_number": 87,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 87,
"usage_type": "attribute"
},
{
"api_name": "xarray.open_dat... |
21281869310 | import os, sys
from tqdm import tqdm
import torch as th
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
from decalib.deca import DECA
from decalib.datasets import datasets
from decalib.utils.config import cfg as deca_cfg
import pickle
from torch.utils.data import DataLoader
import l... | adobe-research/diffusion-rig | scripts/create_data.py | create_data.py | py | 4,541 | python | en | code | 202 | github-code | 6 | [
{
"api_name": "sys.path.insert",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
6706020880 | # pylint: disable=C0103,C0114,C0115,C0116, C0209, C0301, W0105
import os
import sys
import pwinput as pw
from sqlalchemy import create_engine
import pandas as pd
import mariadb
class App:
print("Boas-vindas a OrFy!")
# Cria um diretório na pasta do sistema Program Files
folder = "C:\\Program Files\\OrFy"... | Mcecy/Orfy1.0 | src/app_main.py | app_main.py | py | 21,725 | python | pt | code | 0 | github-code | 6 | [
{
"api_name": "os.path.exists",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pwinput.pwinput",
"line_n... |
1326171453 | import numpy as np
import os
import re
from tqdm import tqdm
import random
import torch
from torch.utils.data import Dataset, DataLoader
from config import config_info
# handle os files
class FileManager(object):
def __init__(self,RootDir):
self.RootDir=RootDir
for _,_,files in os.walk(self.RootDir)... | 1926627357/IoT | linke_preprocess.py | linke_preprocess.py | py | 5,408 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.walk",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "random.shuffle",
"line_number":... |
26625589286 | """
URLConf for Satchmo Newsletter app
This will get automatically added by satchmo_store, under the url given in your livesettings "NEWSLETTER","NEWSLETTER_SLUG"
"""
from django.conf.urls.defaults import *
from livesettings import config_value
import logging
log = logging.getLogger('newsletter.urls')
urlpatterns = ... | dokterbob/satchmo | satchmo/apps/satchmo_ext/newsletter/urls.py | urls.py | py | 1,161 | python | en | code | 30 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "livesettings.config_value",
"line_number": 23,
"usage_type": "call"
}
] |
13610774745 | from django.views import generic
class IndexView(generic.RedirectView):
permanent = False
def get_redirect_url(self, *args, **kwargs):
if self.request.user.is_authenticated():
self.pattern_name = 'accounts:dashboard'
else:
self.pattern_name = 'learn:project_list'
... | klebercode/sofia | sofia/apps/core/views.py | views.py | py | 550 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.views.generic.RedirectView",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "django.views.generic",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "django.views.generic.TemplateView.as_view",
"line_number": 17,
"usage_type": "c... |
77963027 | # File Structure:
# //isolate_label_islandremoval_Kmeans.py
# //lab_directrory
# this script applies PCA to a 3d segmentation
import nibabel as nib
import SimpleITK as sitk
import os, sys
import numpy as np
from sklearn.cluster import KMeans
from sklearn.decomposition import PCA
lab_directrory = "lab" # directory w... | kylerioux/python_ML_scripts | postprocessing_network_inference/PCA_3d_segmentation.py | PCA_3d_segmentation.py | py | 1,939 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "SimpleITK.ReadImage",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "SimpleITK.GetArrayFromImage",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.max",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "SimpleITK.G... |
22377686426 |
from PyQt5.QtCore import Qt
from PyQt5.QtCore import pyqtSignal
from PyQt5.QtWidgets import QWidget
from PyQt5.QtWidgets import QVBoxLayout
from PyQt5.QtWidgets import QHBoxLayout
from PyQt5.QtWidgets import QLabel
from PyQt5.QtWidgets import QLineEdit
class RecipientLayout(QVBoxLayout):
infoChanged = pyqtSignal... | WalterCM/aktor | src/views/Recipient.py | Recipient.py | py | 1,702 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PyQt5.QtWidgets.QVBoxLayout",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.pyqtSignal",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QLabel",
"line_number": 19,
"usage_type": "call"
},
{
"api_na... |
25549048481 | from flask import Flask, render_template
import datetime
import requests
app = Flask(__name__)
@app.route('/')
def home():
now = datetime.datetime.now()
return render_template('index.html',year=now.year)
@app.route('/guess/<username>')
def guess(username):
name = (username).title()
inpt = {"name": na... | harisuryaa/Python-Projects | flask url/server.py | server.py | py | 705 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "flask.render_te... |
30483969149 | import io
import csv
from uuid import uuid4
from django.core.files.base import ContentFile
from celery import shared_task
from .models import Schema, DataSet
from . import data_type
@shared_task
def generate_csv_task(schema_id, records):
schema = Schema.objects.get(pk=schema_id)
columns = schema.column_set... | romanets-oleksandr/csv-data-generator | csv_generator/tasks.py | tasks.py | py | 964 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "models.Schema.objects.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "models.Schema.objects",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "models.Schema",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "io... |
34035309839 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import copy
import numpy as np
from six.moves import xrange
import tensorflow as tf
import warnings
from . import utils_tf
from tensorflow.python.platform import flags
... | hx173149/Ttansferable-Adversarial-Perturbation | cleverhans/attacks_tf.py | attacks_tf.py | py | 4,154 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "tensorflow.python.platform.flags.FLAGS",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.python.platform.flags",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "numpy.inf",
"line_number": 21,
"usage_type": "attribute"
}... |
20681985815 | import pickle
import logging
# Enable logging
logging.basicConfig(
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s', level=logging.INFO
)
logger = logging.getLogger(__name__)
def print_(palabra="Inicio"):
print("=".rjust(50, "="))
print(f"{palabra}".rjust(50, "."))
print("=".rjust(50, "=")... | ramirovazq/llantasbot | utils/comfortable.py | comfortable.py | py | 1,597 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.basicConfig",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pickle.load",
... |
1097411224 | import tweepy
import requests
import json
class CurrencyRatesFetcher:
currency_codes: tuple
def __init__(self, searched_currency_codes: tuple):
self.url = 'http://api.nbp.pl/api/exchangerates/tables/A'
self.currency_codes = searched_currency_codes
def get_currency_rates(self) -> tuple[str... | dgucik/nbp-currency-twitter-bot | main.py | main.py | py | 1,384 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "tweepy.Client",
"line_number": 34,
"usage_type": "call"
}
] |
27679665780 | #!/usr/bin/env python
import sys
import mgrs
import numpy
file=sys.argv[1]
lonlat = numpy.loadtxt(file)
nburst = len(lonlat)
for n in range (0,nburst):
m = mgrs.MGRS()
a = m.toMGRS(lonlat[n,1],lonlat[n,0],MGRSPrecision=1)
print(a)
| comet-licsar/licsar_proc | python/listlonlat2mgrs.py | listlonlat2mgrs.py | py | 247 | python | en | code | 9 | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "numpy.loadtxt",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "mgrs.MGRS",
"line_number": 12,
"usage_type": "call"
}
] |
21412683963 | #Based on https://scikit-image.org/docs/dev/auto_examples/transform/plot_radon_transform.html (accessed on 05.11.2020)
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as anim
from skimage.data import shepp_logan_phantom
from skimage.transform import radon, rescale, frt2, radon_transform... | tobias-stadler/CT-scanner | illustration2.py | illustration2.py | py | 1,842 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "skimage.io.imread",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "skimage.io",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "numpy.linspace",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"lin... |
35338023155 | """dueling Q"""
import random
import datetime as dt
import click
import numpy as np
import tensorflow as tf
from tensorflow import keras
import conf
from conf import MODELS
from conf import PATH, MAX_POWER
import energy_gym
from energy_gym import get_feed, set_extra_params
from standalone_d_dqn import Memory, choose_a... | Open-Building-Management/EnergyGym | dueling.py | dueling.py | py | 9,008 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime.now",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "numpy.array"... |
7439710242 | #!/usr/bin/env python3
# import the necessary packages
from imutils import face_utils
import numpy as np
import argparse
import imutils
import dlib
#import h5py
import pickle
import face_recognition
import os
import sys
import time
import json
import cv2 as cv
import paho.mqtt.client as mqtt
# mema oriented librar... | hbarnard/mema | face_unlock.py | face_unlock.py | py | 6,601 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.loads",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "logging.debug",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "memalib.mema_utility.curl_speak",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "memalib.mema... |
31679160358 | """
Copyright 2023 AIT Austrian Institute of Technology GmbH
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable l... | ChettakattuA/Voctractor | app.py | app.py | py | 7,703 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_nu... |
25007774821 | __author__ = "Borja López Soilán (Pexego)"
import os
import base64
from osv import osv, fields
import openoffice_report
from tools.translate import _
class report_xml_file(osv.osv):
_name = 'ir.actions.report.xml.file'
_columns = {
'file': fields.binary('File', required=True, filters="*.odt,*.pdf,*.ht... | factorlibre/openerp-extra-6.1 | pxgo_openoffice_reports/report_xml.py | report_xml.py | py | 7,333 | python | en | code | 9 | github-code | 6 | [
{
"api_name": "osv.osv.osv",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "osv.osv",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "osv.fields.binary",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "osv.fields",
"line_numbe... |
16127468857 | from collections import defaultdict
N = int(input())
p = []
p_exist = defaultdict(int)
for _ in range(N):
x, y = map(int, input().split())
p.append([x, y])
p_exist[(x, y)] = 1
ans = 0
for i in range(N):
for j in range(i + 1, N):
x1, y1 = p[i]
x2, y2 = p[j]
if x1 == x2 or y1 == ... | keimoriyama/Atcoder | ABC/218/d.py | d.py | py | 450 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.defaultdict",
"line_number": 5,
"usage_type": "call"
}
] |
72192134909 | from PyQt5.QtSerialPort import QSerialPort
from PyQt5 import QtCore
import pynmea2
import datetime
import signal
from sun_pos import getSunPos
class GPSQObject(QtCore.QObject):
messageSignal = QtCore.pyqtSignal(str)
def __init__(self, *args, **kwargs):
super(QtCore.QObject, self).__init__(*args, **kwar... | dakoner/heliostat | heliostat_ui/gps_qobject.py | gps_qobject.py | py | 1,745 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PyQt5.QtCore.QObject",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtCore",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.pyqtSignal",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtC... |
3136135370 | import random
from collections import deque
times = {'Change oil': 2, 'Inflate tires': 5, 'Get diagnostic': 30, }
_all = [0]
menu = {'change_oil': "Change oil", 'inflate_tires': "Inflate tires", 'diagnostic': "Get diagnostic", }
tickets = {'Change oil': [0, deque()], 'Inflate tires': [0, deque()], 'Get diagnostic': [0... | saukin/Hypercar-Service-Center | Hypercar Service Center/task/hypercar/tickets/tickets_logic.py | tickets_logic.py | py | 846 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 7,
"usage_type": "call"
}
] |
41983304889 | import termcolor
def prompt_input_bill(note_type: int) -> int:
"""
Prompts the user for a single note count
:param note_type: The note type to insert into the machine
:return: A validated count of all notes inserted for this note_type
"""
try:
value = int(input(f"How many {str(note_typ... | alii/copington-ticket-theme-park | utils/payment.py | payment.py | py | 1,698 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "termcolor.colored",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "termcolor.colored",
"line_number": 39,
"usage_type": "call"
}
] |
35178436213 | """SRFC ACC TRACKER by SHEEPY 2022"""
import codecs
import os
import sys
import sqlite3
import requests # 非标准库
import time
import linecache
import logging
import configparser
import traceback
import smtplib
from email.mime.text import MIMEText
from email.utils import formataddr
headers = {'user-agent':... | Sheepy1977/ws_sim_tracker | acc/acc_tracker_nosqlite_0.47.py | acc_tracker_nosqlite_0.47.py | py | 13,831 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "time.time",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "configparser.ConfigParser",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "linecache.updatecache",
"line_number": 89,
"usage_type": "call"
},
{
"api_name": "linecache.g... |
24012326871 | from ssl import Options
import numpy as np
import matplotlib.pyplot as plt
import tkinter as tk
from tkinter import *
from tkinter import filedialog
def converting_to_Gforce(array, sen):
return array / [1.0]*sen
#opening file diretory
root = tk.Tk()
root.withdraw()
file_path = filedialog.askopenfilename()
... | MarinsLucas/STEP | STEP.py | STEP.py | py | 1,685 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tkinter.Tk",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "tkinter.filedialog.askopenfilename",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "tkinter.filedialog",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "nump... |
26038676896 | import logging
from pants.core.util_rules.distdir import DistDir
from pants.engine.fs import Digest, MergeDigests, Workspace
from pants.engine.goal import Goal, GoalSubsystem
from pants.engine.rules import Get, MultiGet, collect_rules, goal_rule
from pants.engine.target import (
FilteredTargets,
GenerateSource... | pantsbuild/pants | src/python/pants/backend/codegen/export_codegen_goal.py | export_codegen_goal.py | py | 3,363 | python | en | code | 2,896 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pants.engine.goal.GoalSubsystem",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "pants.engine.unions.UnionMembership",
"line_number": 26,
"usage_type": "name"
},
{
... |
41264176498 | """
COMP30024 Artificial Intelligence, Semester 1 2019
Solution to Project Part A: Searching
Authors: Zheping Liu, 683781; Bohan Yang, 814642
"""
import sys
import json
import heapq
# A Priority queue implemented using heapq
# Reference: https://segmentfault.com/a/1190000010007858
class PriorityQueue:
def __init... | zhepingLiu/COMP30024_zheping_alisha | search.py | search.py | py | 17,040 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "heapq.heappush",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "heapq.heappop",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_numb... |
42218330299 | import http.server
import json
#Define a custome request handler by subclass
class MyRequestHandler(http.server.BaseHTTPRequestHandler):
def do_Get(self):
if self.path =='api/resource':
self.send_response(200)
self.send_header('Content-type','application/json')
self.en... | chandrasekharnayak/PythonProgramNotestAT-5 | BuildApiFramework/RestFrameWork/create_request_handeler.py | create_request_handeler.py | py | 1,009 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "http.server.server",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "http.server",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "json.dumps",
"line_number": 14,
"usage_type": "call"
}
] |
12849929812 | from ask_amy.utilities.slot_validator import Slot_Validator
import logging
from datetime import datetime
logger = logging.getLogger()
class LIST_OF_CITIES(Slot_Validator):
VALID = 0 # Passed validation
MSG_01_TEXT = 1 # Failed Validation
_valid_values = [
'seattle', 'los angeles', 'monterey', ... | dphiggs01/ASK_Amy_Example_Skills | alexa_07_tide_skill/alexa_tide_types.py | alexa_tide_types.py | py | 1,239 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "ask_amy.utilities.slot_validator.Slot_Validator",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "ask_amy.utilities.slot_validator.Slot_Validator",
"line_number": 24,
"usa... |
18390240321 | from django.contrib.auth.decorators import permission_required
from django.views.generic import RedirectView, TemplateView
from django.urls import include, path, re_path, reverse_lazy
from photologue.views import GalleryArchiveIndexView, PhotoDetailView
from .models import GalleryCustom
from .views import GalleryCust... | ria4/tln | photos/urls.py | urls.py | py | 1,272 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "views.GalleryCustomDetailView.as_view",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "views.GalleryCustomDetailView",
"line_number": 12,
"usage_type": "name"
},
{
... |
1814670136 | # -*- coding: utf-8 -*-
# chapsmap.py
#%%
import numpy as np
#from randomtest import X0
def f_logistic(X, param=4.0):
''' logistic map
(batch-compatible):
'''
return param*X*(1.0-X)
def f_tent(X, param=2.0):
''' logistic map
(batch-compatible):
'''
return (X<1.0/2) * param*X + (X>=1.0/2) * p... | yymgch/chaosgan | chaosmap.py | chaosmap.py | py | 3,968 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.array",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.cos",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number": 48,
... |
22867901383 | import nltk
from nltk.stem import WordNetLemmatizer
from tensorflow.keras.models import load_model
from numpy import array
import pickle
import os
from global_function import training_ignore_letters, training_epochs, training_batch_size
def Training_Required():
res = os.path.exists('Resources/training/all... | TroySigX/smartbot | AITasks.py | AITasks.py | py | 3,770 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "os.path.exists",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
75127018427 | from __init__ import DATASETS_DIR, CFG_DIR
import os
import cv2
import numpy as np
from posture_6d.data.dataset_format import LinemodFormat, VocFormat, FileCluster
from posture_6d.data.mesh_manager import MeshManager
from posture_6d.data.viewmeta import ViewMeta
from tqdm import tqdm
import copy
import matplotlib.pyplo... | Nx1021/OLDT | gen_mixed_linemod.py | gen_mixed_linemod.py | py | 10,020 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "posture_6d.data.viewmeta.ViewMeta",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "numpy.random.rand",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": ... |
3637615933 | import boto3
import os
import logging
# Make sure all of the important regions have the tables created
regions = os.environ['REGIONS'].split(',')
def handler(event, context):
logger = logging.getLogger()
logger.setLevel(logging.INFO)
customer_id = event['customer_id']
item_id = event['key']
item_va... | brcoding/superstore | deploy/create_superstore_item.py | create_superstore_item.py | py | 728 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.environ",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "boto3.resource",
... |
28665798265 | # coding:utf-8
import requests
import json
def get_simple_weather(town_id):
url = 'http://tj.nineton.cn/Heart/index/all?city={}'.format(town_id)
print(url)
json_str = requests.get(url).text
##print(jsonStr)
data = json.loads(json_str)
weather = data['weather'][0]
print('city', weather['... | haoweiking/wx_reply | get_weather.py | get_weather.py | py | 1,164 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 26,
"usage_type": "call"
}
] |
29379963623 | import datetime
import os
import time
import random
import traceback
from firebase_admin import firestore
from tqdm import tqdm
from api_service import get_all_dist_codes_api, get_dist_vaccination_calendar
from db_service import _get_slot_document_key, notify_all_subscribers, db, _get_all_subscribed_dists_from_db, \
... | keshav-sarraf/vaccine_slot_availability | db_refresh.py | db_refresh.py | py | 5,600 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "os.environ",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "time.tzset",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "db_service._get_slot_document_key",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "db_servi... |
11670695573 | import math
import random
from dataclasses import dataclass
from time import perf_counter_ns
from action import Action, ActionType
from board import Board
from game_state import GameState, MAX_DAY
class SimulationNode:
def __init__(self, player_actions: list[Action], opponent_actions: list[Action]):
self... | bdaene/codingame | challenges/spring_challenge_2021/simulation.py | simulation.py | py | 4,423 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "action.Action",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "math.log",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "math.log",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "board.Board",
"line_number": 41,
... |
39428488153 | # -*- coding: utf-8 -*-
# This Scripts used to Report Each variables during the Test Procedure
# We choose Markdown as the presentation of reports
# The Report contents including
# 1. Distribution of Single Sentence WER
# 2. Distribution of Real Rtf
# 3. The Whole WER
# 4. Weigthen RTF
# 5. rtf --- WER(not finished, ne... | dongfangdu/docker_autolearning_2.0 | src/auto_test/src/report.py | report.py | py | 6,059 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.setdefaultencoding",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "matplotlib.use",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "os.path",
"... |
70780569788 | """
Given a 1-indexed array of integers numbers that is already sorted in non-decreasing order, find two numbers such that they add up to a specific target number. Let these two numbers be numbers[index1] and numbers[index2] where 1 <= index1 < index2 < numbers.length.
Return the indices of the two numbers, index1 ... | storrer/udd-programming-practice | neetcode/two_sum/two_sum_II_array_is_sorted.py | two_sum_II_array_is_sorted.py | py | 2,409 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 41,
"usage_type": "name"
}
] |
18656730479 | """
The module gives all the functions used through the manually segmentation
"""
#!/usr/bin/env python3
import json
import traceback
import cv2
import numpy as np
import os
import sys
import tkinter as tk
from tkinter import messagebox
sys.path.append(os.path.abspath('..'))
sys.path.append(os.path.abspath('../..'))
... | sank96/segmentation-evaluation | performance_tool/manually_segmentation.py | manually_segmentation.py | py | 8,152 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_num... |
7817854368 | import os
import texture
import time
import six
from pykeyboard import PyKeyboard
class Scenario(texture.BaseScenario):
def load(self):
text = """
FILE COPY
=========
Current file: %s
You will have 10 seconds to switch to the window in which the contents
will be c... | rmed/fyd | dialogs/copyist.py | copyist.py | py | 1,728 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "texture.BaseScenario",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "texture.tprint",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "texture.tprint",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "texture.loader... |
23242206817 | from flask import Flask, render_template, redirect, request
from flask_cors import CORS, cross_origin
from flask_socketio import SocketIO
from subprocess import Popen, PIPE
import config
import os
import sys
import subprocess
import socket
import platform
import psutil
import requests
import time
import re
import json
... | Smith-Chris1/pi-dash | app.py | app.py | py | 12,018 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "flask_socketio.SocketIO",
... |
24493129443 | from libs.db_connect import mongo_connect
import math
import datetime as dt
import pandas as pd
import json
from libs.convert import ohlc_to_ohlc
DB = mongo_connect() # mongodb connect
SAVE_DATA = False # state to disable and enable save data to DB
save_seconds = 3600 # define the every time for save data to db
symb... | ratwc/aow-socket | data/tick.py | tick.py | py | 5,555 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "libs.db_connect.mongo_connect",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "math.floor",... |
38807864869 | from django.shortcuts import render, redirect, HttpResponse
from django.contrib import messages
from .models import *
def index(request):
return render(request, 'planner/index.html')
def createUser(request):
result = User.objects.validateRegistration(request.POST)
if type(result) is list:
for error in result:... | FlyEaglesFly37/PythonBeltExamRetake | apps/planner/views.py | views.py | py | 2,349 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.shortcuts.render",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.contrib.messages.error",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.contrib.messages",
"line_number": 12,
"usage_type": "name"
},
{
"api_... |
35506298683 | import csv
from django.core.management.base import BaseCommand
from api.models import Ingredient
class Command(BaseCommand):
help = 'Импорт ингредиентов из csv файла'
def handle(self, *args, **options):
with open(r'data/ingredients.csv',
encoding='utf8') as csvfile:
re... | aayadin/foodgram-project-react | backend/api/management/commands/import_ingredients.py | import_ingredients.py | py | 631 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "csv.reader",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "api.models.Ingredient",
"line_number": 16,
"usage_type": "call"
}
] |
72589895229 | import os
from PIL import Image
import numpy as np
from torch.utils.data import Dataset
import torch
import torchvision
class AMDloader(Dataset):
def __init__(self, image_files, possible_labels, transform=None):
self._transform = transform
self._image_files = image_files
self.possible_lab... | branislavhesko/deep_classifier | utils/dataloader_AMD.py | dataloader_AMD.py | py | 1,358 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "torch.Tensor",
"... |
26227348232 | import json
import urllib.parse
from streamlit import caching
from streamlit import type_util
from streamlit.logger import get_logger
LOGGER = get_logger(__name__)
SHARING_MODES = set(
[
# This means the plot will be sent to the Streamlit app rather than to
# Plotly.
"streamlit",
... | ejnunn/PPE-Object-Detection | env/lib/python3.7/site-packages/streamlit/elements/plotly_chart.py | plotly_chart.py | py | 2,882 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "streamlit.logger.get_logger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "streamlit.type_util.is_type",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "streamlit.type_util",
"line_number": 36,
"usage_type": "name"
},
{
"api_na... |
29810062393 | from django.core.exceptions import ValidationError
from django.test import TestCase
from bookclubs.models import User, Post, Comment, Club
class CommentModelTestCase(TestCase):
"""Unit tests for the Comment model"""
fixtures = [
'bookclubs/tests/fixtures/default_user.json',
'bookclubs/tests/... | hihi-itsann/SEG_Major_Group | bookclubs/tests/models/test_comment_model.py | test_comment_model.py | py | 1,757 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "django.test.TestCase",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.test.TestCase",
"line_number": 16,
"usage_type": "argument"
},
{
"api_name": "bookclubs.models.User.objects.get",
"line_number": 17,
"usage_type": "call"
},
{
"ap... |
14959451909 | from yoti_python_sandbox.client import SandboxClient
from yoti_python_sandbox.tests.conftest import PEM_FILE_PATH
from yoti_python_sandbox.token import YotiTokenRequest
from yoti_python_sandbox.token import YotiTokenResponse
from .mocks import mocked_request_failed_sandbox_token
from ..sandbox_exception import SandboxE... | getyoti/yoti-python-sdk-sandbox | yoti_python_sandbox/tests/test_sandbox_client.py | test_sandbox_client.py | py | 2,253 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "yoti_python_sandbox.client.SandboxClient.builder",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "yoti_python_sandbox.client.SandboxClient",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "pytest.raises",
"line_number": 18,
"usage_type"... |
1893912162 | import sys
import os
from time import sleep
# sys.path.append(r'C:\Python24\Lib')
sys.path.append(r'C:\Users\martin.carufel\AppData\Local\Programs\Python\Python37-32\Lib\site-packages')
sys.path.append('C:/Drive-W/Internal_tools/Libraries/IOLibrary/trunk/out')
from IOWrapper import IOWrapper
import clr
clr.AddReference... | MartinCarufel/Python_script | Gui_iron_python/buttonLib.py | buttonLib.py | py | 2,124 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "sys.path.append",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_numbe... |
75260855547 | import torch
import torch.nn as nn
import torch.nn.parallel
import torch.backends.cudnn as cudnn
import torch.optim as optim
import torch.utils.data
import torchvision.utils as utils
import torchvision.datasets as dsets
import torchvision.transforms as transforms
from torchvision.utils import save_image
import os
impo... | dayznight7/celebA-dcgan | main.py | main.py | py | 10,617 | python | ko | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.use",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms.Compose",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "... |
28297795457 | #!/bin/env python
from bs4 import BeautifulSoup as bs
import json
import sys
import time
with open(sys.argv[1], 'r') as foodler:
soup = bs(foodler.read(), 'lxml')
js = soup.script.text
dec = json.JSONDecoder()
js_decoded = dec.decode(js)
price = js_decoded['price']
orderDate = js_decoded['orderDate'].split('T')[... | zingbretsen/fall_demo | scripts/lab_dinner.py | lab_dinner.py | py | 635 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "json.JSONDecoder",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_n... |
20870815751 | import cv2 as cv
import commons as c
from keras.models import load_model
import numpy as np
import os
path = "./rows"
img_cols = 125
img_rows = 15
model = load_model("model.h5")
def readRows():
imagenes = []
for i in os.listdir(path):
imagenes.append(i)
return sorted(imagenes, key=lambda x: int(x.... | eduman13/proyectoFinal | answer.py | answer.py | py | 1,050 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "keras.models.load_model",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.expand_dims",
... |
21112700552 | from .plugin import Plugin
import requests
import hashlib
import base64
import time
# 插件名称
name = '汽车之家极速版'
# 描述信息
description = """
汽车之家极速版(快应用) 验证码登录接口
源代码: http://t4.market.xiaomi.com/download/Mina/0b30a5ae89ca689a7c56aaa6a634762362c4170db
更新时间: 2020-08-12
"""
# 作者
author = 'kksanyu'
# 是否启用该插件
enable = False
cl... | superdashu/who_are_you | plugins/autohome.py | autohome.py | py | 1,843 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "plugin.Plugin",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "base64.b64encode",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "hashlib.md5",
"line_numb... |
70720668987 | """
Clase que representa la lista de incidencias de un usuario
"""
import re
from collections import Counter
class IssueSonar:
def __init__(self, issues):
self.total = issues.__sizeof__()
self.issues = issues
def getNumIssuesBlocker(self):
""" Obtiene el número de incidenci... | falimotxo/SonarIssues | process/Process.py | Process.py | py | 6,225 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "re.split",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number... |
20144007337 | import cv2
import numpy as np
import matplotlib.pyplot as plt
# Different methods for smoothing images
# This function shows an image using the matplotlib functionality
def show_with_matplotlib(color_img, title, pos):
# pos - position in the figure plot
# First convert the BGR image to RGB
rgb = color_im... | Raylow00/OpenCV-Tutorials | 2_Opencv_image_processing/3_image_smoothing.py | 3_image_smoothing.py | py | 3,374 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.subplot",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.imshow",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "... |
70542906747 | import pygame
BLACK, WHITE, BROWN = (0, 0, 0), (255, 255, 255), (139, 69, 19)
position = [0, 0]
x1, y1 = 380, 380
x2, y2 = 250, 260
pygame.init()
#audio = pygame.mixer.Sound("musica/colisão.ogg")
screen = pygame.display.set_mode((600, 600))
pygame.display.set_caption("Colisão")
clock = pygame.time.Clock()
while True:... | debsk/Games | Anotações/colisão.py | colisão.py | py | 1,057 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pygame.init",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pygame.display.s... |
74981120826 | # -*- coding: utf-8 -*-
"""
Created on Fri Jul 11 13:12:59 2014
@author: othmane
"""
from .xmlparse import XMLParse
from .pgrid import PGrid
import os
class PFTS:
""" Initialises the power flow calculation.
Args:
xmlpath (str): The path to the simulation xml file.
Attributes:
pgrid (PGrid): The P... | timinou/pfts | pfts/pfts.py | pfts.py | py | 2,420 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.cbook.dedent",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 55,
"usage_type": "attribute"
},
{
"api_name": "xmlparse.XMLPars... |
16498287996 | #!/usr/bin/python3
# coding=utf-8
import os
import random
from PIL import Image
import cv2
import numpy as np
import torch
from torch.utils.data import Dataset
########################### Data Augmentation ###########################
class Normalize(object):
def __init__(self, mean, std):
self.mean = mea... | heqin-zhu/DFTR | codes/DFTR/datasets/SODData.py | SODData.py | py | 6,949 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.random.randint",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.randint",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.ran... |
17629258076 | import random
import colorama
from colorama import Fore, Back, Style
colorama.init(autoreset=True)
# Creates a board with 10 empty values
board = [' ' for x in range(10)]
# Demonstration Board displaying position layout
demo_board = """
| |
1 | 2 | 3
| |
-----------
| |
4 | 5 | 6
| |
----------... | Code-Institute-Submissions/MrBertieG-noughts-and-crosses_NovResub | run.py | run.py | py | 13,267 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "colorama.init",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "colorama.Fore.YELLOW",
"line_number": 95,
"usage_type": "attribute"
},
{
"api_name": "colorama.Fore",
"line_number": 95,
"usage_type": "name"
},
{
"api_name": "colorama.Fore.YE... |
39359075461 | import time
import selenium
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import Select
driver=webdriver.Chrome()
driver.implicitly_wait(30)
driver.get('http://demo.automationtesting.in/Index.html')
driver.... | Paviterence/Selenium-Python-BasicCodes | links_practice.py | links_practice.py | py | 787 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.common.by.By.ID",
"line_number": 11,
"usage_type": "attribute"
},
{
... |
38592110773 | from algosdk.v2client import indexer
from pydantic import BaseModel
from typing import Optional, List
class Transaction(BaseModel):
sender: str
round_time: int
confirmed_round: int
note: Optional[str]
group_id: Optional[str]
tx_id: Optional[str]
transaction_type: Optional[str]
class C... | theonetwoone/Staking | retrieve_latest_data.py | retrieve_latest_data.py | py | 3,663 | python | en | code | null | github-code | 6 | [
{
"api_name": "pydantic.BaseModel",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
... |
74789964667 | import requests
from bs4 import BeautifulSoup
import pandas as pd
def extractData():
# response = requests.get(url)
with open('response.html', 'r') as file:
html = file.read()
soup = BeautifulSoup(html, 'html.parser')
# print(soup)
data = []
questions = soup.find_all('span', class_='qu... | jasbatra19/Capstone | QuestionGenerator/quesAnswer/crawler.py | crawler.py | py | 1,490 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "bs4.BeautifulSoup",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 39,
"usage_type": "call"
}
] |
37070528416 | import copy
from database import crud
import pydantic_models
import config
import fastapi
api = fastapi.FastAPI()
# GET
@api.get("/users")
@crud.db_session
def get_users():
users = []
for user in crud.User.select()[:]:
users.append(user.to_dict())
return users
@api.get('/get_info_by_user_id/{us... | Develtomas/python | fastAPI/app.py | app.py | py | 2,099 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "database.crud.User.select",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "database.crud.User",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "data... |
29456771132 | import abc
from oslo_config import cfg
from oslo_log import log
import six
import yaml
from atrope import cache
import atrope.dispatcher.manager
from atrope import exception
import atrope.image_list.hepix
CONF = cfg.CONF
CONF.import_opt("hepix_sources", "atrope.image_list.hepix", group="sources")
LOG = log.getLogge... | alvarolopez/atrope | atrope/image_list/manager.py | manager.py | py | 3,720 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "oslo_config.cfg.CONF",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "oslo_config.cfg",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "oslo_log.log.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "oslo... |
28696418488 | from django.db import models
# Create your models here.
from django.contrib.auth.models import AbstractUser
class UserInfo(AbstractUser): # settings: AUTH_USER_MODEL = "blog.UserInfo"
"""
用户信息
"""
nid = models.BigAutoField(primary_key=True)
nickname = models.CharField(verbose_name='昵称', max_le... | CXTV/CSDN | csdn/models.py | models.py | py | 5,879 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.contrib.auth.models.AbstractUser",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.models.BigAutoField",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.db.models",
"line_number": 11,
"usage_type": "name"
},
{
... |
39555883859 | # -*- coding: utf-8 -*-
"""
Created on July 9 2020
@author: Gerardo Cervantes
"""
from gui.make_draggable import Draggable
import tkinter as tk
from tkinter.font import Font
from PIL import ImageTk, Image
from ctypes import windll
class TitleBar(tk.Frame):
ICON_IMG_PATH = 'images/icon.png'
COLOR = '#2a324... | gcervantes8/Star-Classifier-For-Mario-64 | gui/title_bar.py | title_bar.py | py | 4,941 | python | en | code | 8 | github-code | 6 | [
{
"api_name": "tkinter.Frame",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "tkinter.Frame.__init__",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "tkinter.Frame",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "tkinter.... |
22624762999 | from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from __future__ import absolute_import
from builtins import * # NOQA
from future import standard_library
standard_library.install_aliases()
import argparse
import logging
import os
import chainer
from chaine... | pfnet-research/capg | train_ppo_gym.py | train_ppo_gym.py | py | 7,880 | python | en | code | 28 | github-code | 6 | [
{
"api_name": "future.standard_library.install_aliases",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "future.standard_library",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "gym.undo_logger_setup",
"line_number": 16,
"usage_type": "call"
},
{
... |
21115291014 | from pyspark import SparkConf, SparkContext
conf = SparkConf().setAppName("Quick Average Max Min RDD")
sc = SparkContext.getOrCreate(conf=conf)
rdd = sc.textFile("/opt/spark-data/average_quiz_sample.csv")
print(rdd.collect())
rddorig = rdd.map(lambda x: x.split(','))
rddavg = rddorig.map(lambda x: (x[0], (float(x[2]),... | zcemycl/distributeCompute | src/spark/tutorials/al-quiz-avg-min-max.py | al-quiz-avg-min-max.py | py | 702 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pyspark.SparkConf",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "pyspark.SparkContext.getOrCreate",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pyspark.SparkContext",
"line_number": 4,
"usage_type": "name"
}
] |
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