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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
32233379984 | import image
import lcd
import sensor
import sys
import time
import KPU as kpu
from fpioa_manager import *
import KPU as kpu
lcd.init()
lcd.rotation(2)
try:
from pmu import axp192
pmu = axp192()
pmu.enablePMICSleepMode(True)
except:
pass
try:
img = image.Image("/sd/startup.jpg")
lcd.display... | ryota-mo/m5stack_fire | serial_fire_and_unitv/boot.py | boot.py | py | 2,469 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "lcd.init",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "lcd.rotation",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pmu.axp192",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pmu.enablePMICSleepMode",
"line_... |
34880348144 |
import numpy as np
import pandas as pd
from datetime import datetime, timedelta
import sqlalchemy
from sqlalchemy.ext.automap import automap_base
from sqlalchemy.orm import Session
from sqlalchemy import and_, create_engine, func, desc
from flask import Flask, jsonify
##############################################... | Eng-Hisham991/Sqlalchemy-challenge | app.py | app.py | py | 4,017 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.ext.automap.automap_base",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 30,
"usage_type": "call"
},
{
"api_name... |
27520774362 | import utils
import consts
import models
import torch
import torchvision.transforms as transforms
import random
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
sns.set_theme()
torch.manual_seed(consts.SEED)
random.seed(consts.SEED)
np.random.seed(consts.SEED)
# GPU available?
device = torch.... | natsala13/hw1-adversarial_attacks | main_c.py | main_c.py | py | 2,850 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "seaborn.set_theme",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.manual_seed",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "consts.SEED",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "random.seed",
... |
26027587645 | from models import (
User as UserModel, Notes as NotesModel,
session
)
import graphene
from graphene_sqlalchemy import (
SQLAlchemyConnectionField,
SQLAlchemyObjectType
)
from extentions import bcrypt
from typing import Optional
#types
class User(SQLAlchemyObjectType):
class Meta:
mode... | CharlieArray/noteapp | schema.py | schema.py | py | 4,409 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "graphene_sqlalchemy.SQLAlchemyObjectType",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "models.User",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "graphene_sqlalchemy.SQLAlchemyObjectType",
"line_number": 19,
"usage_type": "name"
... |
32785497109 | # -*- coding: UTF-8 -*-
import numpy as np
import gym
from gym import spaces
import numpy as np
from .space_def import circle_space
from .space_def import onehot_space
from .space_def import sum_space
from gym.envs.registration import EnvSpec
import logging
from matplotlib import pyplot as plt
from IPython import displ... | YTIANYE/EdgeFed-H-MAAC | MEC_env/mec_env.py | mec_env.py | py | 15,190 | python | en | code | 2 | github-code | 2 | [
{
"api_name": "logging.basicConfig",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "logging.WARNING",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "numpy.arange",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
... |
43798384006 | """
Given an `input_list` and a `target`, return the pair of indices in the list that holds the values which sum to the `target`.
For example:
`input_list = [1, 5, 9, 7]` and `target = 8`, the answer would be `[0, 3]`, 1 + 7 = 8
The best solution takes O(n) time. This means that you cannot traverse the given list m... | m-01101101/udacity-datastructures-algorithms | 3. data_structures/hash_map/pair_sum_target.py | pair_sum_target.py | py | 2,061 | python | en | code | 4 | github-code | 2 | [
{
"api_name": "typing.List",
"line_number": 14,
"usage_type": "name"
}
] |
13675188347 | import pdb
class Solution:
def add(self, a: int, b: int) -> int:
a &= 0xffffffff
b &= 0xffffffff
pdb.set_trace()
while b != 0:
carry = ((a & b) << 1) & 0xffffffff
a ^= b
b = carry
return a if a < 0x80000000 else ~(a^0xffffffff) # ? ~(a^0x... | screnary/Algorithm_python | bit_computation.py | bit_computation.py | py | 434 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "pdb.set_trace",
"line_number": 7,
"usage_type": "call"
}
] |
28210145956 | import threading
from market_data import CarryMarketData
from common import util
def download_historical_data():
def download(coin: str, expiry: str, resolution: int):
market_data = CarryMarketData(coin, expiry, resolution)
market_data.download()
print(f'{coin}-{expiry} done')
coins =... | quantoor/quantools | carry/historical_data_downloader.py | historical_data_downloader.py | py | 940 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "market_data.CarryMarketData",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "market_data.download",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "common.util.get_all_futures_coins",
"line_number": 12,
"usage_type": "call"
},
{
"... |
16949157846 | import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.distributions import Categorical
from copy import deepcopy
from torch.utils.checkpoint import checkpoint
from typing import NamedTuple
import math
import numpy as np
from matnet_models.TFJSPModel_sub import TFJSP_Encoder, FFSP_Decoder, MLPCr... | msh0576/FJSPT-Scheduler | matnet_models/TFJSPModel_matnet_jobnode.py | TFJSPModel_matnet_jobnode.py | py | 19,130 | python | en | code | 2 | github-code | 2 | [
{
"api_name": "typing.NamedTuple",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "torch.Tensor",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "torch.Tensor",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "torch.Tensor",
... |
20463779860 | import skimage.morphology
from freetype import *
import numpy as np
from skimage import morphology, data, io, img_as_bool, img_as_float, exposure, filter as skfilter
import itertools
import numpy
IMAGE_FILENAME = 'images/text.png'
SKELETON_FILENAME = 'images/skel.png'
MAXIS_FILENAME = 'images/maxis.png'
PRETTY_FILENAM... | ryansturmer/typesetter | typesetter.py | typesetter.py | py | 8,966 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "skimage.io.imsave",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "skimage.io",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "skimage.exposure.rescale_intensity",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "skima... |
20499344529 | from __future__ import division, print_function, unicode_literals, absolute_import
# THIRD-PARTY
import numpy as np
# LOCAL
from drizzle import util, calc_pixmap, cdrizzle
from astropy.io import fits
"""
A module designed to facilitate drizzling masks.
"""
__version__ = "0.1.0"
__author__ = "Mihai Cara"
__date__ = "... | spacetelescope/imgeom | imgeom/drizmask.py | drizmask.py | py | 14,453 | python | en | code | 1 | github-code | 2 | [
{
"api_name": "numpy.asarray",
"line_number": 137,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_number": 142,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number": 142,
"usage_type": "attribute"
},
{
"api_name": "numpy.issubdtype",
... |
12840244623 | from flask import Blueprint, request, make_response, jsonify, render_template
from flask.views import MethodView
from app.models.car import Car
from app import db
from flask_jwt_extended import jwt_required, get_jwt_claims
from app.decorator import *
cars_blueprint = Blueprint('cars', __name__, url_prefix="/api/v1/c... | zd247/piot2-car-share | app/apis/cars_method.py | cars_method.py | py | 7,823 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "flask.Blueprint",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.views.MethodView",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "app.models.car.Car.query.all",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "a... |
32459122188 | """Window for issue specyfic publication to specific person"""
from tkinter import Entry, Toplevel, Frame, Label, Button, messagebox
from tkcalendar import DateEntry
import options
from buttons import db_functions as db
from datetime import date, timedelta
from psycopg2 import errors, errorcodes
from sys import exc_in... | BartoszSzm/PostLib | buttons/issue_book.py | issue_book.py | py | 5,422 | python | en | code | 1 | github-code | 2 | [
{
"api_name": "tkinter.Frame",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "options.PENALTY",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "options.ISSUE_LIMIT",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "datetime.... |
43028438850 | import numpy as np
import pytest
import torch
from mmpose.models import HMRMeshHead
from mmpose.models.misc.discriminator import SMPLDiscriminator
def test_mesh_hmr_head():
"""Test hmr mesh head."""
head = HMRMeshHead(in_channels=512)
head.init_weights()
input_shape = (1, 512, 8, 8)
inputs = _de... | ViTAE-Transformer/ViTPose | tests/test_models/test_mesh_head.py | test_mesh_head.py | py | 2,464 | python | en | code | 978 | github-code | 2 | [
{
"api_name": "mmpose.models.HMRMeshHead",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.Size",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.Size",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "torch.Size",
"lin... |
23251948802 | import os
import sys
import time
import pygame
from pygame.locals import *
PACKAGE_PARENT = '..'
SCRIPT_DIR = os.path.dirname(__file__) # Diretório atual
MAIN_DIR = os.path.normpath(os.path.join(SCRIPT_DIR, PACKAGE_PARENT)) # Diretório do jogo
sys.path.append(MAIN_DIR) ... | calbertofilho/RTypeLike | lib/sounds.py | sounds.py | py | 4,306 | python | pt | code | 0 | github-code | 2 | [
{
"api_name": "os.path.dirname",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.normpath",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
15068043365 | import numpy as np
import matplotlib.pyplot as plt
from itertools import count
from shutil import which
from subprocess import check_call # used to launch gmsh
import sys
# plt.rcParams.update({
# 'figure.figsize':(6,6),'figure.dpi':80,'font.size': 9,
# 'grid.linestyle': '--', 'lines.linewidth': 1})
_gmsh_inst... | bilalgungorr/rayir | rayir/sectionanalysis.py | sectionanalysis.py | py | 78,441 | python | en | code | 1 | github-code | 2 | [
{
"api_name": "shutil.which",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "numpy.cos",
"line_number": 197,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number": ... |
36413451779 | #!/usr/bin/env python3
# encoding: utf-8
# serve.py
"""
Use instead of `python3 -m http.server` when you need CORS.
Derived from gist @ https://gist.github.com/acdha/925e9ffc3d74ad59c3ea
"""
from http.server import HTTPServer, SimpleHTTPRequestHandler
import os
class CORSRequestHandler(SimpleHTTPRequestHandler):
... | ggoss/sitegen | sitegen/serve.py | serve.py | py | 1,077 | python | en | code | 5 | github-code | 2 | [
{
"api_name": "http.server.SimpleHTTPRequestHandler",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "os.chdir",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "http.server.HTTPServer",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "... |
41229200071 | import requests
import json
class WeatherForecast():
def __init__(self):
self.api_url = "http://api.weatherstack.com/"
self.api_key = "Your_api_key"
#you can get api key from weatherstack
self.api_url2 = "http://api.weatherbit.io/v2.0/forecast/daily"
self.api_key2 =... | cemlevent54/Python-Api-Applications | BasicWeatherForecastApiGithub.py | BasicWeatherForecastApiGithub.py | py | 2,030 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "requests.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 20,
"usage_type": "call"
}
] |
4635919571 | from django.conf.urls import patterns
from django.conf.urls import url
from django.views.generic.base import RedirectView
from .views import VncView
urlpatterns = patterns("",
url(
regex=r'^(?P<name>[a-zA-Z0-9_\-]+)/$',
view=VncView.as_view(),
name="vnc"
),
... | asmaps/kvmate | kvmate/vnc/urls.py | urls.py | py | 447 | python | en | code | 1 | github-code | 2 | [
{
"api_name": "django.conf.urls.patterns",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "views.VncView.as_view",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "vie... |
7411894566 | """
Title: Check If a String Is a Valid Sequence from Root to Leaves Path in a Binary Tree
Given a binary tree where each path going from the root to any leaf
form a valid sequence, check if a given string is a valid sequence
in such binary tree.
We get the given string from the concatenation of an array of integer... | arivolispark/datastructuresandalgorithms | leetcode/30_day_leetcoding_challenge/202004/20200430_valid_sequence_string_from_root_to_leaf_path_in_binary_tree/valid_sequence_string_from_root_to_leaf_path_in_binary_tree.py | valid_sequence_string_from_root_to_leaf_path_in_binary_tree.py | py | 5,451 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "typing.List",
"line_number": 77,
"usage_type": "name"
},
{
"api_name": "collections.deque",
"line_number": 103,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 102,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_n... |
25372951853 | from django.forms import ModelForm
from django import forms
from .models import EventLog
class EventLogForm(ModelForm):
"""Form used for handling event logs"""
class Meta:
model = EventLog
fields = "__all__"
class CustomEventLogModelChoiceField(forms.ModelChoiceField):
"""Class to retu... | Chrisprod06/Process_Mining_Tool_V2 | pmt/data_handling/forms.py | forms.py | py | 3,220 | python | en | code | 1 | github-code | 2 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "models.EventLog",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "django.forms.ModelChoiceField",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name... |
71211523247 | import json
from django.db.models import Max
from django.http import HttpResponse
from django.template.loader import render_to_string
from django.views.generic.base import View
from main.models import WIDGETS
from main.models import DashboardWidget
from main.views import get_widget_data
class WidgetAdd(View):
d... | MPIB/Lagerregal | main/ajax.py | ajax.py | py | 2,563 | python | en | code | 22 | github-code | 2 | [
{
"api_name": "django.views.generic.base.View",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "main.models.WIDGETS",
"line_number": 16,
"usage_type": "argument"
},
{
"api_name": "main.models.DashboardWidget.objects.filter",
"line_number": 17,
"usage_type": "cal... |
70081213167 |
from pyspark.sql import SparkSession
from pyspark.sql.types import StructField, StringType, IntegerType, StructType
def test1() -> None:
spark = SparkSession.builder.appName("Basics").getOrCreate()
df = spark.read.json("./datasets/people.json")
df.show()
df.printSchema()
df.columns
df.descr... | jlbali/spark_tests | example2/dataframe1.py | dataframe1.py | py | 2,386 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "pyspark.sql.SparkSession.builder.appName",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql.SparkSession",
"line_number": 9,
"usage_type": "... |
7628700407 | import random
from typing import Callable
from heuristic.utilities.canvas import Canvas, Interval, draw
from heuristic.utilities.support import initialize_population
def bee_algorithm(function: Callable[[list[float]], float], dimension: int, interval: Interval, iterations: int, pop_num: int, trial_limit: int, canvas: ... | piotr-wawro/advanced-algorithms-and-data-structures | source/heuristic/algorithms/bee_algorithm.py | bee_algorithm.py | py | 2,347 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "typing.Callable",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "heuristic.utilities.canvas.Interval",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "heuristic.utilities.canvas.Canvas",
"line_number": 6,
"usage_type": "name"
},
{
... |
73704751406 | from selenium import webdriver
from selenium.webdriver.chrome.service import Service
service = Service('/Users/zohaibkhan/Downloads/chromedriver')
# set options to make browsing easier
def get_driver():
options = webdriver.ChromeOptions()
options.add_argument('disable-inforbars')
# ^^ disable info bars that ... | zohaibk22/python-automation-scripts | scap_dynamic_value.py | scap_dynamic_value.py | py | 1,073 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "selenium.webdriver.chrome.service.Service",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 9,
"usage_type": "name"
},... |
14582216084 | import json
import crawler
import time
import datetime
import notification # Use your o
credentials = {}
with open("credentials.json") as fp:
credentials = json.load(fp)
if __name__ == '__main__':
prec_state = {}
while True:
now = datetime.datetime.now()
submit_web_page_raw = ""
... | Julien-Gustin/Grade-Notifyer-Bot | src/bot.py | bot.py | py | 998 | python | en | code | 2 | github-code | 2 | [
{
"api_name": "json.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "crawler.get_su... |
43616405422 | ##
from selenium import webdriver
import time
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.ui import Select
import logging,pandas as pd
import acqua.aqueduct as aq
import pdfquery,io,requests,warnings,time
warnin... | figuriamoci/Acqua | Lombardia/PaviaAcque/1-LocationCollection.py | 1-LocationCollection.py | py | 3,559 | python | en | code | 1 | github-code | 2 | [
{
"api_name": "warnings.simplefilter",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.WARNING",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "acqua.aq... |
4729197827 | import requests
import json
import geopy.distance
MAZEMAP_BASE_URL='https://api.mazemap.com/'
ROUTE_URL='routing/path/?'
def is_lost(distances):
closest_point = 100
for distance in distances:
if closest_point > distance:
closest_point = distance
if closest_point > 5:
return Tru... | tbassetto/smart-spaces-hackathon-team-2 | backend/location/mazemap/getpaths.py | getpaths.py | py | 2,393 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "geopy.distance.distance.distance",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "geopy.distance.distance",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "geopy.distance",
"line_number": 22,
"usage_type": "name"
},
{
"api_... |
36029047991 |
"""
Yatse
---------------
Yet another tiny search engine (Yatse) is a easy to use search engine
created purely for fun and learning purposes. Index raw texts or files
and search using simple APIs.
"""
from setuptools import find_packages, setup
requirements = []
with open('requirements.txt') as f:
requirements =... | djmgit/yatse | setup.py | setup.py | py | 1,026 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "setuptools.setup",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 27,
"usage_type": "call"
}
] |
16246699139 | import datetime
import data
from models import *
db.drop_all()
db.create_all()
for user in data.USERS:
db.session.add(User(
id=user["id"],
first_name=user["first_name"],
last_name=user["last_name"],
age=user["age"],
email=user["email"],
role=user["role"],
... | Alikkkka/hm_at_night | db_init.py | db_init.py | py | 1,340 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "data.USERS",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "data.ORDERS",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "datetime.date",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"l... |
72117277487 | """Observe."""
from .common import (
add_msgdef_args,
add_patterns_arg,
add_read_args,
async_load_msgdefs,
create_ebus,
disable_stdout_buffering,
print_msg,
)
def parse_args(subparsers):
"""Parse Arguments."""
parser = subparsers.add_parser(
"observe",
help=(
... | c0fec0de/pyebus | pyebus/cli/observe.py | observe.py | py | 1,013 | python | en | code | 3 | github-code | 2 | [
{
"api_name": "common.add_msgdef_args",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "common.add_read_args",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "common.add_patterns_arg",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "c... |
42368441968 | """
给你一个字符串 s ，逐个翻转字符串中的所有 单词 。
单词 是由非空格字符组成的字符串。s 中使用至少一个空格将字符串中的 单词 分隔开。
请你返回一个翻转 s 中单词顺序并用单个空格相连的字符串。
说明：
输入字符串 s 可以在前面、后面或者单词间包含多余的空格。
翻转后单词间应当仅用一个空格分隔。
翻转后的字符串中不应包含额外的空格。
"""
import collections
def reverseWords(s: str) -> str:
"""使用 split和reverse"""
return " ".join(s.split()[::-1])
d... | hide-in-cloud/leetcode-test-python | 简单/#151.翻转字符串里的单词.py | #151.翻转字符串里的单词.py | py | 1,400 | python | zh | code | 0 | github-code | 2 | [
{
"api_name": "collections.deque",
"line_number": 29,
"usage_type": "call"
}
] |
22571228077 | # -*- coding: utf-8 -*-
"""
Created on Wed Feb 12 17:20:25 2020
@author: kscamp3
"""
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
def y_pCa_plot(pCa, y, draw_fit=False, ax=[], sym='ro'):
""" Draws y-pCa plot with optional fit """
# Make axes if requried
if not ax:
f... | Campbell-Muscle-Lab/PyCMLutilities | PyCMLutil/plots/pCa_plots.py | pCa_plots.py | py | 969 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "matplotlib.gridspec.GridSpec",
"line_number": 18,
"usage_type": "call"
},
{
"api_name"... |
7240969370 | import scrapy
class LawsSpider(scrapy.Spider):
name = 'laws'
allowed_domains = ['laws.bahamas.gov.bs']
start_urls = ['http://laws.bahamas.gov.bs/cms/en/legislation/acts.html']
def parse(self, response):
table = response.css('table')[0]
for tr in table.css('tr')[2:]:
... | Mark1617/python-projects | data-projects/bahamas-laws/laws.py | laws.py | py | 1,050 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "scrapy.Spider",
"line_number": 4,
"usage_type": "attribute"
}
] |
7962588589 | from django.shortcuts import render, get_object_or_404, redirect
from django.http import HttpResponseRedirect, HttpResponse
from django.views.generic import CreateView
from .models import Question, Answer, Variant, Student_User, Table_Res
from django.urls import reverse
from django.views import generic
from django.uti... | KD3821/polls_english_language | poll_v1/opros/views.py | views.py | py | 7,511 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "django.http.HttpResponse",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "forms.ContactForm",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "django.core.mail.send_mail",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": ... |
22280893869 | from pdfminer.high_level import extract_text
import docx2txt
import nltk
import re
import os
import csv
#nltk.download('punkt')
#nltk.download('averaged_perceptron_tagger')
#nltk.download('maxent_ne_chunker')
#nltk.download('words')
#nltk.download('stopwords')
PHONE_REG = re.compile(r'[\+\(]?[1-9][0-9 .\-\(\)]{8... | harshmittal1111/NLP | mini-project.py | mini-project.py | py | 4,887 | python | en | code | 1 | github-code | 2 | [
{
"api_name": "re.compile",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 55,
... |
20639006544 | import os
import psycopg2
import sys
import time
repeat_times = 10
queries = ["edge", "triangle", "degree"]
databases = ["Amazon", "Bitcoin", "Gnutella", "RoadnetTX"]
queries_directed = ["indegree", "outdegree"]
databases_directed = ["Bitcoin_directed", "Gnutella_directed"]
queries_selection = ["select max(weight) ... | ShiftedInverse/ShiftedInverse | Script/CollectQueryTimeGraph.py | CollectQueryTimeGraph.py | py | 3,139 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "psycopg2.connect",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 5... |
3116018363 | import logging
from typing import Any
from twisted.internet.defer import inlineCallbacks
from txhttputil.site.FileUnderlayResource import FileUnderlayResource
from vortex.handler.TupleActionProcessorProxy import TupleActionProcessorProxy
from vortex.handler.TupleDataObservableProxyHandler import (
TupleDataObserva... | Synerty/peek-core-docdb | peek_core_docdb/_private/client/ClientEntryHook.py | ClientEntryHook.py | py | 5,938 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "logging.getLogger",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "peek_plugin_base.client.PluginClientEntryHookABC.PluginClientEntryHookABC",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "peek_plugin_base.client.PluginClientEntryHookABC.Plug... |
22012434379 | import unittest
import numpy as np
import pandas as pd
from mock import patch
from trane.core.cutoff_strategy import CutoffStrategy
class TestCutoffStrategy(unittest.TestCase):
def setUp(self):
self.description = 'a description'
def generate_fn(group, entity_id):
# cutoff is 5 day... | SeptumCapital/Trane | tests/core/test_cutoff_strategy.py | test_cutoff_strategy.py | py | 2,933 | python | en | code | null | github-code | 2 | [
{
"api_name": "unittest.TestCase",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "numpy.timedelta64",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "trane.core.cutoff_strategy.CutoffStrategy",
"line_number": 24,
"usage_type": "call"
},
{
... |
400474219 | from typing import Optional, Callable, Any
class InvalidInputException(Exception):
def __init__(self, message: str):
self.message = message
def prompt(
message: str,
default: Optional[str] = None,
transformer: Optional[Callable[[str], Any]] = None,
allow_... | GiacomoGrassettiWS/python-portable | venv3.10/lib/python3.10/site-packages/wordfence/util/input.py | input.py | py | 2,045 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "typing.Optional",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.Callable",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"lin... |
40994034707 | '''
Code taken from https://github.com/WilhelmT/ClassMix
Slightly modified
'''
import argparse
from data.augmentations import *
from utils.metric import ConfusionMatrix
from multiprocessing import Pool
from torch.autograd import Variable
from torch.utils import data
import torch
from data import get_data_path, get_lo... | Shathe/SemiSeg-Contrastive | evaluateSSL.py | evaluateSSL.py | py | 6,078 | python | en | code | 80 | github-code | 2 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "data.get_loader",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "data.get_data_path",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "torch.util... |
35662906720 | import asyncio
import os
from token_check import TokenCheck
import patreon as patreonlib
from patreon.utils import user_agent_string
import requests
import config
from flask import Flask, session, redirect, request, render_template
from requests_oauthlib import OAuth2Session
from database import PostgreClient
post... | rxsto/groovy-web-premium-v2 | app.py | app.py | py | 6,599 | python | en | code | 3 | github-code | 2 | [
{
"api_name": "database.PostgreClient",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "config.db_user",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "config.db_host",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "config... |
18463270079 | import cv2
import numpy as np
from matplotlib import pyplot as plt
cap = cv2.VideoCapture(0)
img = cv2.imread("data\\lena.jpg")
cv2.imshow("img frame",img)
cv2.waitKey(0)
while(cap.isOpened()):
ret,frame = cap.read()
cv2.imshow("frame",frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break | Harsh1347/OpenCV_Work | read_write.py | read_write.py | py | 314 | python | en | code | 32 | github-code | 2 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.waitKey",
"line_number": ... |
42895195074 | from database import db
from sqlalchemy import Column, DateTime, Integer, Sequence, String, Float, ForeignKey
from sqlalchemy.orm import relationship
from sqlalchemy.sql import func
class Promos(db.Model):
def __init__(self, created_by, product_name, price, discount, expiration_date, description):
self.cr... | victoriafinzi/promos-api | promos/promos.py | promos.py | py | 1,145 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "database.db.Model",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "database.db",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integer... |
26762565584 | from django import template
from classytags.arguments import Argument
from classytags.core import Options
from classytags.helpers import AsTag
from rsssync.models import RssFeed
register = template.Library()
class GetLatestEntries(AsTag):
options = Options(
'for',
Argument('feed', required=True... | ebrelsford/django-rsssync | rsssync/templatetags/rsssync_tags.py | rsssync_tags.py | py | 796 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "django.template.Library",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "classytags.helpers.AsTag",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "classy... |
24918102441 | from pyrogram import filters
from pyrogram.enums import ChatMemberStatus as CMS
from pyrogram.errors import PeerIdInvalid, RPCError, UserNotParticipant
from pyrogram.types import CallbackQuery, Message
from Powers import LOGGER
from Powers.bot_class import Gojo
from Powers.database.approve_db import Approve
from Power... | Gojo-Bots/Gojo_Satoru | Powers/plugins/approve.py | approve.py | py | 7,734 | python | en | code | 39 | github-code | 2 | [
{
"api_name": "Powers.bot_class.Gojo",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "pyrogram.types.Message",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "Powers.database.approve_db.Approve",
"line_number": 17,
"usage_type": "call"
},
{
"a... |
28455476732 | # -*- coding: utf-8 -*-
"""
Created on Sat Apr 13 20:49:47 2019
@author: Volition
"""
#The psaw scraps comments from the latest to the earliest. Therefore save all the dates of the comments as it scraps through, then
#if it finds a comment that is earlier (number is less than) than the latest comment, break the loop.
... | kevinchua6/Reddit-User-Comment-Scraper | Reddit User Comment Scraper.py | Reddit User Comment Scraper.py | py | 11,677 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "config.settings",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "config.settings",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "config.settings",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "config... |
73628786607 | from collections import deque
T = int(input())
for tc in range(1, T+1):
n, m = map(int, input().split())
que = deque([(n, 0)])
v = set()
v.add(n)
while que:
n, cnt = que.popleft()
if n == m:
break
if n + 1 not in v and n + 1 <= 1000000:
que.append((n... | cherry2250/Algo_practice | SWEA/5247.py | 5247.py | py | 732 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "collections.deque",
"line_number": 6,
"usage_type": "call"
}
] |
26385898340 | import json
import pandas as pd
import boto3
import io
import time
import uuid
import tarfile
import os
from datetime import datetime
### CHANGE bucket
### CHANGE role
def get_execution_role():
iam_client = boto3.client('iam')
response = iam_client.list_roles()
roles = response['Roles']
for role in r... | guidesify/MLE_Crisis | Lambda Functions/incremental-train/lambda_function.py | lambda_function.py | py | 3,791 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "boto3.client",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "boto3.client",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"lin... |
33884910782 | import pickle
from pathlib import Path
from typing import Union
import pandas as pd
from intervaltree import IntervalTree # , Interval
from .logger import isotools_logger as logger
from ._transcriptome_io import import_gff_transcripts, import_gtf_transcripts
from .gene import Gene
# as this class has diverse functi... | milescsmith/isotools | src/isotools/transcriptome.py | transcriptome.py | py | 10,018 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "typing.Union",
"line_number": 46,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 46,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_numbe... |
14378058539 | from __future__ import print_function
import os
import sys
import time
import warnings
import numpy as np
import pandas as pd
import plot_ml_results as pr
from imblearn.over_sampling import SMOTE, SVMSMOTE
from pandas_ml import ConfusionMatrix
from scipy.stats import uniform
from sklearn import svm
from sklearn.ensem... | pachecon/diabetic_medications_RecommenderSystem | src/ml_model_src/pred_algo.py | pred_algo.py | py | 15,771 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.confusion_matrix",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "pandas.crosstab",
"line_number": 53,
"usage_type": "call"
},
{
"api_name... |
6262468323 | import asyncio
from collections import OrderedDict
import tensorflow_federated as tff
from tensorflow_federated.python.common_libs import py_typecheck
from tensorflow_federated.python.core.api import computation_types
from tensorflow_federated.python.core.impl.executors import federated_resolving_strategy
from tensorf... | tf-encrypted/federated-aggregations | federated_aggregations/paillier/strategy.py | strategy.py | py | 12,812 | python | en | code | 21 | github-code | 2 | [
{
"api_name": "tensorflow_federated.framework",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "federated_aggregations.paillier.computations.make_encryptor",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "federated_aggregations.paillier.computations",
... |
7508914885 | import datetime
import time
import os
import numpy as np
import argparse
from argparse import ArgumentParser
import pytorch_lightning as pl
from pytorch_lightning import Trainer
from pytorch_lightning.loggers import WandbLogger
from pytorch_lightning.callbacks.early_stopping import EarlyStopping
from relso.nn.models... | KrishnaswamyLab/ReLSO-Guided-Generative-Protein-Design-using-Regularized-Transformers | train_relso.py | train_relso.py | py | 10,847 | python | en | code | 71 | github-code | 2 | [
{
"api_name": "argparse.ArgumentTypeError",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "time.perf_counter",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "... |
11022477037 | from json import dumps
from canopsis.ccalendar.manager import CalendarManager
from canopsis.common.ws import route
from canopsis.common.middleware import Middleware
cm = CalendarManager(storage=Middleware.get_middleware_by_uri(CalendarManager.CALENDAR_COLL_URI))
def exports(ws):
@route(ws.application.get, name... | merouaneagar/canopsis | sources/canopsis/canopsis/webcore/services/calendar.py | calendar.py | py | 4,412 | python | en | code | null | github-code | 2 | [
{
"api_name": "canopsis.ccalendar.manager.CalendarManager",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "canopsis.common.middleware.Middleware.get_middleware_by_uri",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "canopsis.common.middleware.Middleware",
... |
8658978565 | '''
Drop all tables in the database but keep the database itself.
'''
import optparse
from django.core.management.base import BaseCommand
from django.db.utils import IntegrityError
from django.db import connections, transaction
class Command(BaseCommand):
help = "Drop all tables in the database."
args = ""
... | sideeffects/stats_core | stats_main/management/commands/cleardatabase.py | cleardatabase.py | py | 1,319 | python | en | code | 2 | github-code | 2 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "django.core.management.base.BaseCommand.option_list",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "django.core.management.base.BaseCommand",
"l... |
6634503487 | from data_process import DataProcessor
from model_config import ModelGenerator
from sklearn.metrics import classification_report
import pickle as pkl
import os
from datetime import datetime
TRAIN_DATA_DIR = "data"
SAVE_MODEL_PATH = "save_model"
def save_model(name, model_files):
ts = datetime.now().strftime('_... | raviteja777/document_classification_bbc | main.py | main.py | py | 1,581 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "datetime.datetime.now",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"l... |
44796384681 | import sys
import time
import calendar
import logging
import json
import hmac
import hashlib
# pip
import requests
if sys.version_info[0] is 3:
from urllib.parse import urlencode
else:
from urllib import urlencode
# Possible Commands
PUBLIC_COMMANDS = [
'returnTicker',
'return24hVolume',
'returnOr... | suhithr/bitcoin-arbitrage-bot | poloniex/__init__.py | __init__.py | py | 16,146 | python | en | code | 60 | github-code | 2 | [
{
"api_name": "sys.version_info",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "logging.WARNING",
"line_number": 60,
"usage_type": "attribute"
},
{
"api_name": "logging.basicConfig",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "loggin... |
13033580310 | import maya.api.OpenMaya as om
import pymel.core as pm
def get_worldspace_vector(pynode):
try:
return om.MVector(pynode.getTranslation(space='world'))
except AttributeError:
return om.MVector(pm.pointPosition(pynode))
# return om.MVector(pm.xform(pynode, q=True, worldSpace=True, rotatePivo... | scott-techart/flottitools | utils/transformutils.py | transformutils.py | py | 4,967 | python | en | code | 1 | github-code | 2 | [
{
"api_name": "maya.api.OpenMaya.MVector",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "maya.api.OpenMaya",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "maya.api.OpenMaya.MVector",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "ma... |
10984618159 | import time
import win32con
import win32gui
from getgauge.python import before_scenario, after_scenario, after_spec, ExecutionContext, after_step
from core.custom_asserts import CustomAsserts
from core.logger import Logger
from core.utils import get_the_nr_of_steps_in_scenario, focus_on_driver_window
from core.json_me... | MirceaMarila/Basic_Py_Gauge_Testing_Fw | core/base_test.py | base_test.py | py | 3,237 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "core.web_driver.ChromeDriver",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "core.web_driver.ElementFinder",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "core.custom_asserts.CustomAsserts",
"line_number": 20,
"usage_type": "name"
... |
2939185927 | # Make Training Set
# Author: Billy Haoyang Li
# General import
import sys
from pathlib import Path
import cv2
import numpy as np
from scipy.stats import norm
from skimage.transform import hough_line, hough_line_peaks
from matplotlib import pyplot as plt
util_dir = Path.cwd().parent.joinpath('Utility')
sys.path.i... | billy000400/ImgTrk | python/ztHough/ztHough_data_make.py | ztHough_data_make.py | py | 2,766 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "pathlib.Path.cwd",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "sys.path.insert",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_nu... |
10038900058 | from flask_wtf import FlaskForm
from wtforms.fields.simple import TextAreaField, HiddenField
class EditFahrradMarkenForm(FlaskForm):
FahrradMarkenID = HiddenField("FahrradMarkenID")
MarkenName = TextAreaField("MarkenName")
CEO = TextAreaField("CEO")
Email = TextAreaField("Email")
Standort = TextAr... | Zeynep05/FlaskProject | forms/edit_Fahrradmarke.py | edit_Fahrradmarke.py | py | 340 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "flask_wtf.FlaskForm",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "wtforms.fields.simple.HiddenField",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "wtforms.fields.simple.TextAreaField",
"line_number": 7,
"usage_type": "call"
},
{... |
21739068515 | # Core Pkgs
import streamlit as st
st. set_page_config(layout="wide")
from PyPDF2 import PdfReader
import re
# EDA Pkgs
import pandas as pd
import numpy as np
# Data Viz Pkg
import matplotlib.pyplot as plt
import matplotlib
import scipy
matplotlib.use("Agg")
import seaborn as sns
def main():
""... | tanmaydeokar/Result_Analysis_Internship | New_API.py | New_API.py | py | 30,540 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "streamlit.set_page_config",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "matplotlib.use",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "streamlit.sidebar.selectbox",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "s... |
15141574511 | # -*- coding: utf-8 -*-
#------------------------------------------------------------
import urlparse,urllib2,urllib,re
import os, sys
from platformcode import config, logger
from core import scrapertools
from core.item import Item
from core import servertools
from core import httptools
import base64
host = 'http://ww... | gacj22/WizardGacj22 | plugin.video.alfa/channels/alsoporn.py | alsoporn.py | py | 4,017 | python | en | code | 4 | github-code | 2 | [
{
"api_name": "platformcode.logger.info",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "platformcode.logger",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "core.item.Item",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "core.item... |
71378971888 | from collections import deque
def solution(priorities, location):
dq = deque(priorities)
answer = 0
while dq:
if max(dq)==dq[0]:
dq.popleft()
answer += 1
if location==0: break
else: location -= 1
else:
dq.append(dq.popleft())
... | chchaeun/study-algorithm | 프로그래머스/Lv.2/220127_42587.py | 220127_42587.py | py | 426 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "collections.deque",
"line_number": 3,
"usage_type": "call"
}
] |
1381807565 | import os
from flask_script import Manager, prompt_bool, Shell, Server
from termcolor import colored
from app import app
from flask import render_template, request, url_for
manager = Manager(app)
#
manager.add_command('runserver', Server(
use_debugger=False,
use_reloader=False,
host=os.getenv('IP', '0.0.... | luxette/under-construction | manage.py | manage.py | py | 533 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "flask_script.Manager",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "app.app",
"line_number": 8,
"usage_type": "argument"
},
{
"api_name": "flask_script.Server",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"l... |
14429854309 | ###Reference: https://github.com/tw-ddis/Gnip-Trend-Detection
###pip install pip install gnip_trend_detection[plotting]
###Create a folder and with a subfolder:example
###In the subfolder example, config_[model name].cfg is required to specify the hyperparameter of the trend detection model
import pandas as pd
import ... | o0oBluePhoenixo0o/AbbVie2017 | Developing/Chien/7. Trend Detection.py | 7. Trend Detection.py | py | 3,344 | python | en | code | 3 | github-code | 2 | [
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "IPython.display.d... |
4388557833 | import typing
import re
class Node:
def __init__(self, id: str) -> None:
self.id = id
self.children = []
def find(self, id: str) -> 'Node|None':
if self.id == id:
return self
for node in self.children:
n = node.find(id)
if n:
... | rhmdnd/pycompliance | pycompliance/pycompliance.py | pycompliance.py | py | 3,091 | python | en | code | 1 | github-code | 2 | [
{
"api_name": "re.compile",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "typing.Dict",
"line_number": 87,
"usage_type": "attribute"
},
{
"api_name": "typing.Any",
"line_number": 87,
"usage_type": "attribute"
}
] |
11243492819 | import cv2
import numpy as np
from CameraHandler.CameraHandler import CameraHandlerFromFile
import pdb
CROSSHAIR_WIDTH=5
CROSSHAIR_COLOR=(255,0,0)
HEIGHT, WIDTH = 960, 1280
cap = CameraHandlerFromFile(file="../CameraHandler/camera_params.npz",
device=0,
resize=(W... | pedro-sidra/Projeto2 | Python/VC/viewcam_handler.py | viewcam_handler.py | py | 1,326 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "CameraHandler.CameraHandler.CameraHandlerFromFile",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.EVENT_MOUSEMOVE",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "cv2.namedWindow",
"line_number": 23,
"usage_type": "call"
},
... |
20869017605 |
from sys import stdout
from os import listdir
from multiprocessing import Pool,sharedctypes
import numpy as np
from pymatgen.core.structure import Structure
from pkg.vis.connected_path import structure_network
def worker(item):
print(item.split('.')[0])
stdout.flush()
stru = Structure.from_file('%s/%... | meTchaikovsky/physically_inspired_structure_descriptors | find_vecs.py | find_vecs.py | py | 2,696 | python | en | code | 1 | github-code | 2 | [
{
"api_name": "sys.stdout.flush",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "pymatgen.core.structure.Structure.from_file",
"line_number": 17,
"usage_type": "call"
},
{
"api_name"... |
71264441007 | import time
import discord
from discord.ext import commands
import json
from random import randint
class General(commands.Cog):
def __init__(self, bot):
self.bot = bot
# sky server, sky
self.findseed_whitelist = [672045035797348352, 329538915805691905]
@commands.command(description='Shows the bot’s ping to ... | Spnwztkn/msdpy | cogs/general.py | general.py | py | 7,810 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "discord.Embed",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "discor... |
9265105425 | import math
import argparse
# loan_principal = 'Loan principal: 1000'
# final_output = 'The loan has been repaid!'
# first_month = 'Month 1: repaid 250'
# second_month = 'Month 2: repaid 250'
# third_month = 'Month 3: repaid 500'
#
# # write your code here
# print(loan_principal)
# print(first_month)
# print(second_mo... | dmitryhits/Loan_Calculator | Loan Calculator/task/creditcalc/creditcalc.py | creditcalc.py | py | 6,139 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "math.ceil",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "math.ceil",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "math.log",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "math.ceil",
"line_number": 67,
"... |
72197167405 | import multiprocessing
import os
import re
import subprocess
import sys
import sysconfig
from distutils.version import LooseVersion
from setuptools import setup, Extension
from setuptools.command.build_ext import build_ext
from setuptools.command.test import test
class CMakeExtension(Extension):
def __init__(self... | facebookresearch/CL-LNS | setup.py | setup.py | py | 2,423 | python | en | code | 22 | github-code | 2 | [
{
"api_name": "setuptools.Extension",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "os.path.abspath",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "setuptools.command.... |
7890335370 | '''
Within this script, focus to get the frames of the input video file.
Requirements
----
You require OpenCV 3.2 to be installed.
Run
----
If need to run this script seperately, then can edit the releavant input file path and output file path.
If need to use this script within another code then can import the scirp... | odigous-labs/video_segmentation | video_to_frames.py | video_to_frames.py | py | 2,060 | python | en | code | 2 | github-code | 2 | [
{
"api_name": "os.path.isfile",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"li... |
16171384695 | # https://www.acmicpc.net/problem/13460
from collections import deque
from dataclasses import dataclass
from typing import Optional
tilt = [(-1, 0), (0, -1), (1, 0), (0, 1)]
@dataclass
class Cell:
BLANK = "."
WALL = "#"
RED = "R"
BLUE = "B"
GOAL = "O"
class Game:
def __init__(self):
... | DoubleJONY/KDJ-algorithm-challenge | minsoo/baekjoon/13460.py | 13460.py | py | 4,157 | python | en | code | 2 | github-code | 2 | [
{
"api_name": "dataclasses.dataclass",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 62,
"usage_type": "name"
},
{
"api_name": "collections.deque",
"line_number": 110,
"usage_type": "call"
}
] |
71908889966 | # MLP using theano
import numpy as np
import theano
import theano.tensor as T
from sklearn.datasets import load_iris
import pandas as pd
from URule import rmsprop
from URule import momentums
from URule import sgd
from Layers import Stacked
iris = load_iris()
train_x = iris.data
print("train x shape:", train_x.shape)
t... | faamir/MLP | train/MLP2.py | MLP2.py | py | 2,712 | python | en | code | 1 | github-code | 2 | [
{
"api_name": "sklearn.datasets.load_iris",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "theano.tensor.matrix",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "theano.tensor",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "theano.... |
40920369146 | from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from time import sleep
driver = webdriver.Chrome()
driver.get("https://liginc.co.jp/")
driver.execute_script("window.scrollTo(0, document.body.scrollHeight);")
driver.find_element_by_link_text('ブログトップ').click()
driver.execute_script("wind... | lig-komatsu/selenium | test.py | test.py | py | 448 | python | ja | code | 0 | github-code | 2 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 14,
"usage_type": "call"
}
] |
34806278819 | import requests
import sys
import json
import os
import socket
import subprocess
import time
from requests.packages.urllib3.exceptions import InsecureRequestWarning
requests.packages.urllib3.disable_warnings(InsecureRequestWarning)
default_template_payload = {
"templateName": "test_vpn_19_API",
"templateDescr... | saadirek/sdwan-network-design | create_feature_template_cEdge_payload.py | create_feature_template_cEdge_payload.py | py | 14,397 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "requests.packages.urllib3.disable_warnings",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "requests.packages.urllib3.exceptions.InsecureRequestWarning",
"line_number": 9,
"usage_type": "argument"
},
{
"api_name": "requests.packages",
"line_number": 9... |
36526611835 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import tornado.web
import tornado.gen
from bson.objectid import ObjectId
from common.mongodb import DBS
from common.tool import aprint as ap
import q
from operator import itemgetter, attrgetter
from handlers import content_filter
table_douban = DBS["rent_a_life"]["douban... | ayiis/coding | wine_machine/handlers/rent_douban.py | rent_douban.py | py | 2,457 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "common.mongodb.DBS",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "common.mongodb.DBS",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "common.tool.aprint",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "handlers.con... |
30493111302 | import numpy as np
import cv2
import moviepy.editor as mpy
from pathlib import Path
def cat_frames(path, background):
hist_r = np.zeros((256))
hist_g = np.zeros((256))
hist_b = np.zeros((256))
min_list = np.zeros((180,3))
for i in range(180):
new_frame = background.copy()
... | alptkn/Computer-Vision | Histogram Matching/part5.py | part5.py | py | 7,851 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "numpy.zeros",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 10,... |
35517474651 | import xml.etree.ElementTree as ET
# xml_ = ET.parse("books.xml")
# root = xml_.getroot()
#위와 같다.(단지 밑은 처음부터 element로 뽑은 것임)
# root = ET.Element(file = 'books.xml')
xml_ = ET.parse("books.xml")
root = xml_.getroot()
books = root.findall("book")
for book in books:
print(book.find('author').text, book.find('title... | Highjune/Python | BasicConcept/DB/sqlite3/main1.py | main1.py | py | 387 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "xml.etree.ElementTree.parse",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree",
"line_number": 10,
"usage_type": "name"
}
] |
16275751314 | import time
from functools import lru_cache
from typing import Generator
def timerfunc(func):
"""
A timer decorator
"""
def function_timer(*args, **kwargs):
"""
A nested function for timing other functions
"""
start = time.time()
value = func(*args, **kwargs)
... | bvelush/py-practice | 40min_problems/ch1-fib1.py | ch1-fib1.py | py | 1,172 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "time.time",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "functools.lru_cache",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "typing.Generator",
"line_... |
33649221228 | from __future__ import annotations
__all__ = [
"AppConfig",
"RedisConfig",
"StorageConfig",
"TelegramConfig",
"ThirdPartyServicesConfig",
"TypeCastError",
]
import enum
import inspect
import os
from dataclasses import dataclass
from pathlib import Path
from typing import Any, TypeVar, Union, g... | evgfilim1/userbot | userbot/config.py | config.py | py | 6,996 | python | en | code | 28 | github-code | 2 | [
{
"api_name": "typing.TypeVar",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "typing.Union",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "enum.Enum",
"line_number":... |
25285720615 | # -*- coding: utf-8 -*-
import json
import logging
import sys
from base64 import b64encode, b64decode
import routing
import xbmc
import xbmcaddon
import xbmcgui
import xbmcplugin
from resources.lib import kodilogging
from resources.lib.kodiutils import notification, get_setting_as_bool, get_setting
from resources.lib.... | Koscielny83/kodi-plugin-video-zalukaj | plugin.video.zalukaj/resources/lib/plugin.py | plugin.py | py | 11,638 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "xbmcaddon.Addon",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "xbmc.translatePath",
... |
72098305966 | import math
import sys
from collections import deque
from copy import deepcopy
from dataclasses import dataclass
from enum import IntEnum, auto
from typing import Any, List, NewType, Tuple, Union
Map = NewType("Map", List[List[int]])
def debug(*args, end="\n") -> None:
print(*args, end=end, file=sys.stderr, flus... | yamasakih/tron-battle | tron_battle/main.py | main.py | py | 10,465 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "typing.NewType",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "sys.stderr",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "enum.IntEnum",
"line_num... |
32687949547 | import cocotb
from cocotb.triggers import Timer
from cocotb.clock import Clock
from cocotb.triggers import RisingEdge, ReadWrite
import mem_read_write_model
import read_master_model
import write_master_model
import os
DEBUG = os.getenv('DEBUG').lower() in ('true')
mrw = mem_read_write_model.PyMemReadWrite()
rm = r... | accelr-net/alveo-memory-tester | sim/alveo_mem_test_experiment/mem_read_write/tests/mem_read_write_testbench.py | mem_read_write_testbench.py | py | 6,759 | python | en | code | 1 | github-code | 2 | [
{
"api_name": "os.getenv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "mem_read_write_model.PyMemReadWrite",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "read_master_model.PyReadMaster",
"line_number": 15,
"usage_type": "call"
},
{
"api_... |
27245068112 | # -*- coding: utf-8 -*-
"""
**Iterative Solver for the Poisson Equation on the Circle**
We want to solve $\Delta_S u = f = -9 \sin(3 \theta) -4 \cos(2 \theta) $ over the circle. The analytic solution is known to be $u = \sin(2 \theta) + \cos(3 \theta)$.
We construct the Laplacian and Interpolation matrices ... | UmarAhmed/pde-solver | CPM/iterative_poisson.py | iterative_poisson.py | py | 4,827 | python | en | code | 1 | github-code | 2 | [
{
"api_name": "numpy.arange",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "numpy.transpose",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "numpy.tile",
"line_numb... |
3288519908 | from sklearn import preprocessing
import pandas as pd
df = pd.read_csv('biomechanics_processed.csv')
le = preprocessing.LabelEncoder()
le.fit(df.iloc[ :, -1:])
df.iloc[ :, -1:] = le.transform(df.iloc[ :, -1:])
print(df) | krmstrong322/1d-action-recognition-using-ntu-rgb-d | machine_learning.py | machine_learning.py | py | 223 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "pandas.read_csv",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.LabelEncoder",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing",
"line_number": 7,
"usage_type": "name"
}
] |
24950909769 | """Dataset class template
This module provides a template for users to implement custom datasets.
You can specify '--dataset_mode template' to use this dataset.
The class name should be consistent with both the filename and its dataset_mode option.
The filename should be <dataset_mode>_dataset.py
The class name should... | a11isonliu/contrastive-unpaired-translation | data/magnetogram_dataset.py | magnetogram_dataset.py | py | 9,029 | python | en | code | null | github-code | 2 | [
{
"api_name": "data.base_dataset.BaseDataset",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "data.base_dataset.BaseDataset.__init__",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "data.base_dataset.BaseDataset",
"line_number": 61,
"usage_type": "na... |
74264716205 | from flask import Flask, request, jsonify
from model.model import *
import torch,warnings,argparse
warnings.filterwarnings("ignore")
#选择哪个模型 ，是否使用gpu
parser = argparse.ArgumentParser()
parser.add_argument('--model', help='The path of your model file.', default='mm/modelA.pkl', type=str)
parser.add_argument('--device',... | linminghao-thu/chatbot | chatbot/myflask.py | myflask.py | py | 726 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 15,
"usage_type": "call"
}
] |
7612240297 | # %%
from geopandas import GeoDataFrame
from pathlib import Path
from timezonefinder import TimezoneFinder
data_path = Path(__file__).parents[3] / "data" / "misc"
gdf = GeoDataFrame.from_file(data_path / "us-county-boundaries.geojson")
gdf = gdf[["geoid", "intptlon", "intptlat"]]
# %%
gdf = gdf.rename(columns={"geo... | wearepal/NIBRS | scripts/python/misc/fips_to_latlong.py | fips_to_latlong.py | py | 764 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "pathlib.Path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "geopandas.GeoDataFrame.from_file",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "geopandas.GeoDataFrame",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "tim... |
38687574915 | from http import HTTPStatus
import pytest
from rest_framework.exceptions import ErrorDetail
from movies.models import Director
@pytest.mark.django_db
def test_put_admin_archive(client, admin_token, movie_archive):
director1 = movie_archive.directors.all()[0]
director3 = Director.objects.create(name='name4',... | kra1dex/reeltime | tests/movies/movie_put_test.py | movie_put_test.py | py | 2,720 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "movies.models.Director.objects.create",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "movies.models.Director.objects",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "movies.models.Director",
"line_number": 12,
"usage_type": "name... |
38545822758 | #通过对比Key来进行本地化语言表的批量替换脚本
#2021-11-26 V1.0基本功能实现
#2021-11-29 V1.1 优化代码
#2021-11-29 V1.2 (1)删除多余的print(2)处理空值造成的问题
#2021-11-30 V1.3 （1）解决Unnamed空数据列问题（2）支持xls后缀（3）印尼语列标签修正
#2021-12-2 V1.4 增加进度条显示效果
#2021-12-7 V1.5 处理_x000D_字符问题
#利用pandas库来进行数据操作
import pandas as pd
from tqdm import tqdm
import re
print... | BruceStallone/PythonScripts | I2Language多语言表校对脚本.py | I2Language多语言表校对脚本.py | py | 2,418 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "pandas.read_csv",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pandas.read_excel",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"li... |
34496818618 | from __future__ import print_function
import numba.unittest_support as unittest
import numpy as np
from numba.compiler import compile_isolated, Flags
def usecase(obs, nPoints, B, sigB, A, sigA, M, sigM):
center = nPoints / 2
print(center)
obs[0:center] = np.arange(center)
obs[center] = 321
obs[(ce... | falcondai/numba | numba/tests/test_storeslice.py | test_storeslice.py | py | 920 | python | en | code | null | github-code | 2 | [
{
"api_name": "numpy.arange",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numba.unittest_support.TestCase",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "numba.... |
860628130 | from __future__ import annotations
from typing import Any, Dict
from datadog_api_client.api_client import ApiClient, Endpoint as _Endpoint
from datadog_api_client.configuration import Configuration
from datadog_api_client.v2.model.cloudflare_accounts_response import CloudflareAccountsResponse
from datadog_api_client.... | DataDog/datadog-api-client-python | src/datadog_api_client/v2/api/cloudflare_integration_api.py | cloudflare_integration_api.py | py | 7,236 | python | en | code | 79 | github-code | 2 | [
{
"api_name": "datadog_api_client.api_client.ApiClient",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "datadog_api_client.configuration.Configuration",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "datadog_api_client.api_client.Endpoint",
"line_number"... |
12835351428 | import functools
def capture_params(*args_outer):
def capture_params(func):
"""
Decorator that captures parameters of a method.
"""
@functools.wraps(func)
def wrapper(self, *args, **kwargs):
self.params = self.params if hasattr(self, "params") else {}
... | RameezI/nervox | .snippets/capture_params.py | capture_params.py | py | 1,299 | python | en | code | 1 | github-code | 2 | [
{
"api_name": "functools.wraps",
"line_number": 9,
"usage_type": "call"
}
] |
7728849288 | # -*- coding: utf-8 -*-
'''
aakbar -- amino-acid k-mer signature tools.
There are many bioinformatics tools to work on DNA k-mers, but currently none
that are designed to work in amino-acid (protein) space. aakbar takes as input
FASTA files of called protein genes from two or more genomes and does simplicity
and set ... | ncgr/aakbar | aakbar/__init__.py | __init__.py | py | 9,195 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "click.get_current_context",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "logging.Formatter",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "logging.Formatter.__init__",
"line_number": 36,
"usage_type": "call"
},
{
"... |
862796270 | from __future__ import annotations
from typing import TYPE_CHECKING
from datadog_api_client.model_utils import (
ModelNormal,
cached_property,
)
if TYPE_CHECKING:
from datadog_api_client.v2.model.role_create_data import RoleCreateData
class RoleCreateRequest(ModelNormal):
@cached_property
def ... | DataDog/datadog-api-client-python | src/datadog_api_client/v2/model/role_create_request.py | role_create_request.py | py | 800 | python | en | code | 79 | github-code | 2 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "datadog_api_client.model_utils.ModelNormal",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "datadog_api_client.v2.model.role_create_data.RoleCreateData",
"line_number": ... |
10860749034 | from flask import Flask
from flask import request, render_template
app = Flask(__name__)
@app.route('/')
def index():
first = request.args.get('first')
last = request.args.get('last')
return render_template('index.html', first = first, last = last)
if __name__ == '__main__':
app.run(port = 5000, debug = True)
| wmarshall484/DSI_LECTURES_2 | data-products/ivan_corneillet/5_forms_again/app.py | app.py | py | 318 | python | en | code | 1 | github-code | 2 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "flask.request.args.get",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask.request.args",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "flask.request... |
473921982 | import gc
import random
import string
import timeit
from typing import List, Optional
import msgpack
import msgspec
import orjson
import proto_bench
import pydantic
import ujson
class Address(msgspec.Struct, gc=False):
street: str
state: str
zip: int
class Person(msgspec.Struct, gc=False):
first: s... | ljrk0/msgspec | benchmarks/bench.py | bench.py | py | 16,186 | python | en | code | null | github-code | 2 | [
{
"api_name": "msgspec.Struct",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "msgspec.Struct",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "typing.Optional",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "typing.List",... |
3123927058 | import json
import pika
from time import sleep
exchange_name = "topic_create_order"
create_order_routing_key = "create-order"
payment_queue_name = "payment-queue"
host_connect = "rabbitmq" #rabbitmq
def connect_to_mb():
error = False
while not error:
try:
connection_parameters = pika.Conne... | PanamaP/Cryptocop | cryptocop-payments/paymentService.py | paymentService.py | py | 1,773 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "pika.ConnectionParameters",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pika.BlockingConnection",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "json.loa... |
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