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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
9294254942 | ## This module
from StreamAnimations import utils, sprite
from StreamAnimations.sprite import hitbox
from StreamAnimations.canvases import SinglePageCanvas
from StreamAnimations.engine.renderers.gif import GifRenderer
from StreamAnimations.engine import utils as engineutils
from StreamAnimations.systems import twodimen... | AdamantLife/StreamAnimations | sample.py | sample.py | py | 3,312 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pathlib.Path",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "StreamAnimations.utils.import_spritesheet",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "StreamAnimations.utils",
"line_number": 22,
"usage_type": "name"
},
{
"api... |
16574355106 | import collections
import heapq
from typing import List
class Solution:
def maxProbability(self, n: int, edges: List[List[int]], succProb: List[float], start: int, end: int) -> float:
adj = collections.defaultdict(list)
for i in range(len(edges)):
src, dst = edges[i]
adj[sr... | BLANK00ANONYMOUS/PythonProjects | Leetcode Daily Challenges/14_feb_2023.py | 14_feb_2023.py | py | 759 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "typing.List",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "collections.defaultdict",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "heapq.heappop",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "heapq.heappush",
... |
11394835592 | '''
Script to export PASCAL VOC 2012 annotation data in VIA format
Author: Abhishek Dutta <adutta@robots.ox.ac.uk>
12 Apr. 2018
'''
import xmltodict
import os
import json
base_dir = '/data/datasets/voc2012/VOCdevkit/VOC2012/'
img_dir = os.path.join(base_dir, 'JPEGImages/')
ann_dir = os.path.join(base_dir, 'Annotatio... | ox-vgg/via | via-2.x.y/scripts/import/pascal_voc/exp_annotations.py | exp_annotations.py | py | 3,496 | python | en | code | 184 | github-code | 36 | [
{
"api_name": "os.path.join",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 1... |
14992228919 | from flask import Flask
from flask import request
from urllib.parse import urlencode
import requests
import json
server = Flask(__name__)
api_key = "AIzaSyAWtsz4ALYdHQJKRSeGv-invChqgL7tAFs"
@server.route('/location')
def location():
city_name = request.values.get('city-name')
data_type = "json"
endpoint = f"https:... | KJS89/Wuduplz | Web mining/final/locationList.py | locationList.py | py | 1,190 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.request.values.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask.request.values",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "flask.r... |
7037221042 | from flask import Flask,render_template,request
import tweepy
import re
import pandas as pd
from tweepy import OAuthHandler
from nltk.corpus import stopwords
from nltk.tokenize import TweetTokenizer
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.model_selection import train_test_split
from skl... | saurabhc104/sentiment_analysis | analysis.py | analysis.py | py | 3,670 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.read_csv",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwords.words",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "nltk.cor... |
18583370851 | from pygame.locals import *
import figures
import pygame
import random
import sys
types = [figures.Square, figures.Line]
class Game:
def __init__(self, window=(500, 500), speed=5, block=20, fps=20):
pygame.init()
pygame.display.set_caption("Tetrissss")
self.WINDOW_SIZE = ... | Clapsouille/Tetris | main.py | main.py | py | 5,526 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "figures.Square",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "figures.Line",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "pygame.init",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_ca... |
418860871 | import sys
import json
import logging
import argparse
import select
import time
import logs.server_log_config
from socket import socket, AF_INET, SOCK_STREAM, SOL_SOCKET, SO_REUSEADDR
from common.variables import ACTION, PRESENCE, TIME, USER, ACCOUNT_NAME, RESPONSE, \
MESSAGE, MESSAGE_TEXT, ERROR, DEFAULT_PORT, MAX... | Shorokhov-A/repo_client-server-apps_python | practical_task_7/server.py | server.py | py | 5,881 | python | ru | code | 0 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "common.variables.ACTION",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "common.variables.PRESENCE",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "c... |
33406629366 | """
Main Neural Network Pipeline.
"""
#-------------------------- set gpu using tf ---------------------------#
import tensorflow as tf
config = tf.ConfigProto()
config.gpu_options.allow_growth = True
session = tf.Session(config=config)
#------------------- start importing keras module ---------------------#
from ke... | ghunkins/Binaural-Source-Localization-CNN | Neural_Net/v3/neuralnet.py | neuralnet.py | py | 2,940 | python | en | code | 9 | github-code | 36 | [
{
"api_name": "tensorflow.ConfigProto",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "tensorflow.Session",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
41585106305 | import json
# # Data to be written
# dictionary = {
# "hello":"lol"
# }
# # Serializing json
# json_object = json.dumps(dictionary, indent=4)
# Writing to sample.json
# with open("sample.json", "a") as outfile:
# outfile.write(json_object)
filename="sample.json"
entry={'hello','lol1'}
with open(filename, ... | AugeGottes/Yet-Another-Kafka | test.py | test.py | py | 484 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "json.load",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 22,
"usage_type": "call"
}
] |
1685939480 | import pandas as pd
import geopandas as gpd
from sqlalchemy import create_engine
from shapely.geometry import box
from SGIS.api import SGISRequest
from credentials.database import AP
CSV = '/Users/dongookson/Code/data-project/SGIS/key_locations/ad8.csv'
QUERY = 'select * from key_locations'
GET = False
# connect to ... | donny-son/airhealth-database | SGIS/test_geocode.py | test_geocode.py | py | 1,276 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "credentials.database.AP",
"line_number": 14,
"usage_type": "argument"
},
{
"api_name": "pandas.read_csv",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "... |
8379980336 | from sys import argv
from panda3d.core import Vec3
from pandac.PandaModules import loadPrcFileData
loadPrcFileData('configurate', 'window-title Loading')
from direct.directbase import DirectStart
from direct.task import Task
from direct.actor.Actor import Actor
from direct.gui.DirectGui import *
from pandac.PandaModule... | ronanwow1001/Toontown-1 | Landwalker Example.py | Landwalker Example.py | py | 63,531 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandac.PandaModules.loadPrcFileData",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "direct.actor.Actor.Actor",
"line_number": 371,
"usage_type": "call"
},
{
"api_name": "direct.controls.GravityWalker.GravityWalker",
"line_number": 427,
"usage_typ... |
14570657497 | from kivy.app import App
from kivy.uix.widget import Widget
from kivy.uix.button import Button
from kivy.uix.relativelayout import RelativeLayout
from kivy.uix.label import Label
from kivy.uix.textinput import TextInput
from kivy.graphics import Color, Line, Rectangle
from image_to_text import get_text, train_model
im... | ShantanuShinde/Character-Recognition-with-CNN | Character Recognition App/paintapp.py | paintapp.py | py | 3,519 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "kivy.uix.relativelayout.RelativeLayout",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "kivy.graphics.Color",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "kivy.graphics.Rectangle",
"line_number": 23,
"usage_type": "call"
},
{
... |
13768273606 | from os import stat
from flask import Flask, Response
from flask_restx import Resource, Api, reqparse
import random
import json
import os
from werkzeug.exceptions import BadHost, BadRequest
app = Flask(__name__)
api = Api(app)
#Cette route va permettre de retourner la valeur +1
@api.route('/plus_one/<int:number>')
... | eparisLR/FLASK-RESTX | api.py | api.py | py | 3,444 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask_restx.Api",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask_restx.Resource",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "flask_restx.Resource... |
22216786293 | import bpy
import bmesh
import os
#function for changing the topology of the object by triangulating it
def triangulate_object(obj):
me = obj.data
# Get a BMesh representation
bm = bmesh.new()
bm.from_mesh(me)
bmesh.ops.triangulate(bm, faces=bm.faces[:], quad_method=0, ngon_method=0)
# Finis... | whorticulterist/RotationSimulation | blender objects/python_scripts/Initial_Individual_Processing.py | Initial_Individual_Processing.py | py | 2,397 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "bmesh.new",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "bmesh.ops.triangulate",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "bmesh.ops",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "bpy.path.basename",
... |
41145576381 | from calendar import c
from pyexpat import model
from re import L
import numpy as np
import pandas as pd
compas_scores_raw= pd.read_csv("compas_score_raw.csv", lineterminator='\n')
compas_scores_two_year= pd.read_csv("compas_scores_two_years.csv", lineterminator='\n')
print('-----------------Compas Score... | dansmith5764/A-study-of-fairness-in-transfer-learning | Compas/Parse_1.py | Parse_1.py | py | 7,675 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.shape",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",
"... |
38875746376 |
import torch
import torch.nn as nn
from torch.utils.cpp_extension import load
import os
import time
import random
import math
cur_path = os.path.dirname(os.path.realpath(__file__))
cpu_unsorted_segsum = load('cpu_unsorted_segsum',
[f'{cur_path}/cpu_extension.cc'],
extra_cflags=['-fopenmp', '-O3', '-march=nati... | medav/meshgraphnets-torch | kernels/unsorted_segsum/kernel.py | kernel.py | py | 4,483 | python | en | code | 6 | github-code | 36 | [
{
"api_name": "os.path.dirname",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.utils.cpp_extensi... |
36947640459 | from __future__ import print_function
__revision__ = "src/engine/SCons/Tool/FortranCommon.py bee7caf9defd6e108fc2998a2520ddb36a967691 2019-12-17 02:07:09 bdeegan"
import re
import os.path
import SCons.Action
import SCons.Defaults
import SCons.Scanner.Fortran
import SCons.Tool
import SCons.Util
def isfortran(env, so... | mongodb/mongo | src/third_party/scons-3.1.2/scons-local-3.1.2/SCons/Tool/FortranCommon.py | FortranCommon.py | py | 9,651 | python | en | code | 24,670 | github-code | 36 | [
{
"api_name": "os.path.path.splitext",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "os.path",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "re.compile",
"lin... |
30374326803 | import numpy as np
from scipy.special import expit
def piston_action(alfa, p_linea, p_servicio):
alfa %= 2 * np.pi
return (p_servicio - p_linea) * expit((alfa - np.pi) * 20)
def build_indep(
alfa: np.float32,
beta: np.float32,
omega: np.float32,
mb: np.float32,
mp: np.float32,
R: np.... | hanzy1110/paper_fem_bombas | src/solve.py | solve.py | py | 3,065 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.pi",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "scipy.special.expit",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "numpy.float32",
"lin... |
25048960763 | from Crypto.Cipher import AES # AES (all modes)
from Crypto.Util import Counter # AES CTR
from os import urandom # AES CBC or CTR
#from Crypto import Random # AES CBC or CTR
#Random.get_random_bytes(16) # AES CBC or CTR
from Crypto.Cipher import PKCS1_OAEP # RSA
from Crypto.PublicKey import RSA #... | chusanapunn/RSA_AY3T2 | A1/aeR.py | aeR.py | py | 4,658 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "Crypto.PublicKey.RSA.generate",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "Crypto.PublicKey.RSA",
"line_number": 45,
"usage_type": "name"
},
{
"api_name": "Crypto.PublicKey.RSA.importKey",
"line_number": 52,
"usage_type": "call"
},
{
... |
34376075705 | from django.conf.urls import patterns, include, url
from django.contrib import admin
from django.contrib.auth.views import login, logout
from django.views.generic.edit import CreateView
import views
admin.autodiscover()
urlpatterns = patterns(
'',
url(r'^admin/', include(admin.site.urls)),
# url('^', inc... | jonathantumulak/facebookwall | facebookwall/src/facebookwall/facebookwall/urls.py | urls.py | py | 689 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.contrib.admin.autodiscover",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.conf.urls.patterns",
"line_number": 10,
"usage_type": "call"
},
{
"ap... |
43346932566 | import datetime
from discord import client, Message
import aiohttp
import random
import time
import typing
import json
import humanize
import discord
from discord.ext import commands
start_time = time.time()
intents = discord.Intents.default()
bot = commands.Bot(command_prefix="!", intents=discord.Intents.all())
ff... | v1ss0nd/vsndbot-Discord | bot.py | bot.py | py | 9,975 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "time.time",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "discord.Intents.default",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "discord.Intents",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.co... |
32194079583 | import time
import os
import sqlite3
import mysql.connector
import json
import utils.normalize_data
import git
import importlib
def process_requests():
maria_conn = None
lite_conn = None
try:
maria_cnf_FD = open('db_conf.json')
maria_cnf = json.load(maria_cnf_FD)
maria_cnf_... | mathieu-bergeron/aquiletour2021 | dockers/git/depot_manager/task_processor.py | task_processor.py | py | 3,103 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "json.load",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "sqlite3.connect",
"line_numb... |
36335146377 | import json, sys, time, os
import requests as rq
import soundcloud as sc
id = "ql3NWDyvuRgjpzwArS8lYmm2SrVGYLDz"
scurl = "https://api-v2.soundcloud.com/"
qcliid = "?client_id=ql3NWDyvuRgjpzwArS8lYmm2SrVGYLDz"
client = sc.Client(client_id=id)
class Track:
def __init__(self, inp):
data = json.loads(resolve(inp... | idosyncrasi/soundcloud-dl | main.py | main.py | py | 4,200 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "soundcloud.Client",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_num... |
73593036584 | from django.urls import path
from django.contrib.auth.views import LoginView, LogoutView
from .views import home_view, account_view, meal_view, order_view, report_view, sign_up_view, add_meal_view, edit_meal_view
app_name = 'restaurant'
urlpatterns = [
path('', home_view, name='home'),
path('sign-up/', sign_u... | AmarjotSingh21/food-delivery-django | restaurant/urls.py | urls.py | py | 882 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "views.home_view",
"line_number": 8,
"usage_type": "argument"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "views.sign_up_view... |
70911809705 | import os
import sys
import re
import json
import math
import argparse
import time
import subprocess
import numpy as np
import networkx as nx
import tensorflow as tf
import datetime
from operator import itemgetter
import collections
FILE_PATH = os.path.dirname(os.path.abspath(__file__))
FATHER_PATH = os.path.join(FILE... | luke28/DNE | tools/get_input.py | get_input.py | py | 2,670 | python | en | code | 8 | github-code | 36 | [
{
"api_name": "os.path.dirname",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line... |
4108004877 | from collections import deque
from sys import stdin, exit
input = stdin.readline
num, h = [int(x) for x in input().split()]
grid = [[int(x) for x in input().split()] for _ in range(num)]
visited = [[False] * num for _ in range(num)]
visited[0][0] = True
moves = [[1, 0], [0, 1], [-1, 0], [0, -1]]
queue = deque()
queue... | AAZZAZRON/DMOJ-Solutions | dmopc13c3p3.py | dmopc13c3p3.py | py | 679 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "sys.stdin.readline",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "sys.stdin",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "collections.deque",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"lin... |
34385049617 | """ Code for computing SW distances between PDs [1]_ of point cloud summaries of activations
Notes
-----
Relevant section : Experiments with PH
Relevant library : `Persim` [2]_
References
----------
.. [1] Carrière, M.; Cuturi, M.; and Oudot, S. 2017. Sliced Wasserstein Kernel for
Persistence Diagrams. In Precup... | pnnl/DeepDataProfiler | papers_with_code/ExperimentalObservations/AAAI-code-PH/SW_distances.py | SW_distances.py | py | 4,209 | python | en | code | 20 | github-code | 36 | [
{
"api_name": "numpy.zeros",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "persim.sliced_wasserstein",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "persim.sliced_wasse... |
18760515421 | import numpy as np
import cv2
import screeninfo
import oa_ls
def init_proj(window_name, screen_id):
screen = screeninfo.get_monitors()[screen_id]
width, height = screen.width, screen.height
cv2.moveWindow(window_name, screen.x -1, screen.y-1)
cv2.setWindowProperty(window_name, cv2.WND_PROP_FULLSCREEN,... | olaals/multivision-depr | multivision/oa_realapi.py | oa_realapi.py | py | 699 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "screeninfo.get_monitors",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.moveWindow",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.setWindowProperty",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.WND_P... |
31701293102 |
import os
import importlib
from collections import OrderedDict
from .utils import (SettingsLoader, ProjectSettings, ThemeSettings,
ShareData, PathResolver, SysPathContextManager)
from .protocol import PluginRegister
from .sequence_analyze import SequenceParser
class SettingsProcedure:
@clas... | huntzhan/GeekCMS | geekcms/loadup.py | loadup.py | py | 4,407 | python | en | code | 5 | github-code | 36 | [
{
"api_name": "utils.ShareData.load_data",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "utils.ShareData",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "utils.SettingsLoader",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "utils.... |
33540908783 | import logging
from typing import List
import funppy
def sum(*args):
result = 0
for arg in args:
result += arg
return result
def sum_ints(*args: List[int]) -> int:
result = 0
for arg in args:
result += arg
return result
def sum_two_int(a: int, b: int) -> int:
return a + ... | httprunner/hrp | examples/debugtalk.py | debugtalk.py | py | 1,315 | python | en | code | 83 | github-code | 36 | [
{
"api_name": "typing.List",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "logging.warning",
"line_numbe... |
5600126262 | import boto3
import json
import logging
import os
from base64 import b64decode
from urllib.request import Request, urlopen
from urllib.error import URLError, HTTPError
SLACK_CHANNEL = '#general'
HOOK_URL = 'https://hooks.slack.com/services/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'
logger = logging.getLogger()
log... | ManuelGago/VodChallenge | vodchallenge/error_to_slack.py | error_to_slack.py | py | 1,195 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "json.loads",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "urllib.request.Request... |
17237472456 | #키와 몸무게로 성별 classification
import numpy as np
import matplotlib.pyplot as plt
from sklearn import neighbors, datasets
from sklearn import svm
from sklearn.discriminant_analysis import LinearDiscriminantAnalysis
file=open('gender_dataset.txt')
gender=[]
height=[]
weight=[]
print("▆▆▆▆▆▆▆▆▆▆▆▆▆▆▆▆▆▆▆▆▆▆▆▆▆▆▆▆▆▆▆▆▆▆▆▆▆▆▆... | hoony6134/kaist | gender.py | gender.py | py | 4,612 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sklearn.svm.SVC",
"line_number": 80,
"usage_type": "call"
},
{
"api_name": "sklearn.svm",
"line_number": 80,
"usage_type": "name"
},
{
"api_name": "sklearn.svm.SVC",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "sklearn.svm",
"line_n... |
23124927437 | from django.conf.urls import patterns, include, url
from rest_framework.routers import DefaultRouter
from blog import views
router = DefaultRouter()
router.register(r'post', views.PostViewSet)
router.register(r'category', views.CategoryViewSet)
urlpatterns = patterns('',
url(r'^', include(router.urls)),
url(... | PolarIt/myblog | myblog/urls.py | urls.py | py | 398 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "rest_framework.routers.DefaultRouter",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "blog.views.PostViewSet",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "blog.views",
"line_number": 6,
"usage_type": "name"
},
{
"api_name... |
6418206467 | import logging
from datetime import datetime
from flask import request
from flask_mail import Mail, Message
from service.schemas import MessageSchema, EmailSchema
from service.models import tr_messages, tm_emails
from service import db, app
from service.tasks.task_email import email_users
def saveMessage(data):
t... | robinraintama/flask_email | service/controllers/MessageController.py | MessageController.py | py | 3,148 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "datetime.datetime.now",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "service.models.tr_messages.Messages",
"line_number": 22,
"usage_type": "call"
},
{
"api_n... |
7424990082 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Harmonia's Kärcher
# Fixes surnäme items in ä mässive wäy.
import json
from SPARQLWrapper import SPARQLWrapper, JSON
import requests
from bs4 import BeautifulSoup
def getWDcontent(item):
sparql.setQuery("""
SELECT DISTINCT ?lang ?label ?description WHERE {{
... | Ash-Crow/scrapers | harmonias-karcher.py | harmonias-karcher.py | py | 4,238 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "SPARQLWrapper.JSON",
"line_number": 29,
"usage_type": "argument"
},
{
"api_name": "json.load",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "SPARQLWrapper.SPARQLWrapper",
"line_number": 78,
"usage_type": "call"
},
{
"api_name": "requests... |
15134640368 | import codecs
import logging
import pandas as pd
from ekorpkit import eKonf
log = logging.getLogger(__name__)
class BaseInfo:
Keys = eKonf.Keys
def __init__(self, **args):
self.args = eKonf.to_config(args)
self._initialized = False
def __str__(self):
classname = self.__class__.... | entelecheia/ekorpkit | ekorpkit/info/column.py | column.py | py | 12,331 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "ekorpkit.eKonf.Keys",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "ekorpkit.eKonf",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "ekorpkit.eKo... |
19655830809 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on 03/03/2021
@author: phongdk
"""
import os
from datetime import datetime
import icecream
DATA_DIR = os.getenv('DATA_DIR', '/shared_storage/bi_mlearn_training/coccoc_shopping')
DATA_FILENAME = f'{DATA_DIR}/data/shopee_sample.pkl'
DOC2VEC_FILENAME = f"{DATA_D... | phongdk92/shopping_retrieval | src/config.py | config.py | py | 1,703 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.getenv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "icecream.ic.configu... |
43303443334 | #! /usr/bin/env python
import colorsys
def hsv2ansi(h, s, v):
# h: 0..1, s/v: 0..1
if s < 0.1:
return int(v * 23) + 232
r, g, b = map(lambda x: int(x * 5), colorsys.hsv_to_rgb(h, s, v))
return 16 + (r * 36) + (g * 6) + b
def ramp_idx(i, num):
assert num > 0
i0 = float(i) / num
h = ... | mozillazg/pypy | rpython/tool/ansiramp.py | ansiramp.py | py | 742 | python | en | code | 430 | github-code | 36 | [
{
"api_name": "colorsys.hsv_to_rgb",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "py.io.ansi_print",
"line_number": 29,
"usage_type": "call"
}
] |
3685343845 |
import numpy as np
import os
import six.moves.urllib as urllib
import sys
import tarfile
import tensorflow as tf
import zipfile
import json
from collections import defaultdict
from io import StringIO
from PIL import Image
import requests
from lib.helpers import DatabaseConnector as dtb
from lib import label_map_util
f... | MatthieuBlais/tensorflow-clothing-detection | obj_detection.py | obj_detection.py | py | 6,828 | python | en | code | 11 | github-code | 36 | [
{
"api_name": "PIL.Image.open",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "tensorflow.Graph",
"line_number": 125,
"usage_type": "call"
},
{
"api_name": "tensorflow.GraphDef",
... |
30838795713 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Nov 11 18:11:32 2021
@author: mathisagathe
"""
from pymongo import MongoClient
import matplotlib.pyplot as plt
client = MongoClient("10.35.7.4", username = "mathis", password = "MathisM21", authsource = "mathisdb")
db=client.mathisdb
collection = d... | romanelollier/School_Project_BigData | requetes_mod.py | requetes_mod.py | py | 1,536 | python | fr | code | 0 | github-code | 36 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 13,
"usage_type": "call"
}
] |
34987281436 | import torch
import torch.nn as nn
from methods.ein_seld.data_augmentation import spec_augment_
from methods.ein_seld.data_augmentation import spec_augment, channel_rotation
from methods.utils.stft import (STFT, LogmelFilterBank, intensityvector,
spectrogram_STFTInput)
import numpy as np... | saraalrawi/EIN-SELD | seld/methods/feature.py | feature.py | py | 8,022 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "torch.nn.Module",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "methods.utils.stft.STFT",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "methods.utils.s... |
74169633702 | import logging
import os
import uuid
from io import BytesIO
from typing import Sequence
from zipfile import ZIP_DEFLATED, ZipFile
import anndata as ad
import dramatiq
from fastapi import APIRouter, Depends, File, Form, HTTPException, UploadFile
from fastapi.responses import ORJSONResponse
from matplotlib.colors import... | BodenmillerGroup/histocat-web | backend/histocat/api/dataset/controller.py | controller.py | py | 5,914 | python | en | code | 5 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "fastapi.APIRouter",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.orm.Session",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "histocat.c... |
36121027603 | import logging
import sys
import torch
import yaml
from tagging_trainer import TaggingTrainer
from forte.common.configuration import Config
logger = logging.getLogger(__name__)
logging.basicConfig(level=logging.INFO)
if __name__ == "__main__":
task = sys.argv[1]
assert task in ["ner", "pos"], "Not supported... | asyml/forte | examples/tagging/main_train_tagging.py | main_train_tagging.py | py | 1,785 | python | en | code | 230 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
... |
23297663163 | import pathlib
import pandas as pd
from model import dez
datadir = pathlib.Path(__file__).parents[0].joinpath('data')
def test_populate_solution_land_distribution():
expected = pd.read_csv(datadir.joinpath('lbt_ocean_dist.csv'), index_col=0)
de = dez.DEZ('Limiting bottom trawling')
# We freeze applicabl... | ProjectDrawdown/solutions | model/tests/test_dez.py | test_dez.py | py | 634 | python | en | code | 203 | github-code | 36 | [
{
"api_name": "pathlib.Path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "model.dez.DEZ",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "model.dez",
"line_number... |
75009815143 | import asyncio
import logging
from random import randint
from src.streaming import Consumer, Producer, Topic
LOGGER = logging.getLogger(__name__)
GROUP_ID = "WEBSITE_NER"
async def amain():
"""Consume website changes, produce NER results."""
consumer = await Consumer.create(Topic.CHANGE.value, group_id=G... | SebastianRemander/eda-demo | src/producers/website_ner.py | website_ner.py | py | 1,060 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "src.streaming.Consumer.create",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "src.streaming.Consumer",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": ... |
42831133132 | #!/usr/bin/env python3
import struct
import json
import sys
def write_tileset(filename, spec):
with open(spec['base'], 'rb') as src:
base_data = src.read()
with open(spec['overlay'], 'rb') as src:
overlay_data = src.read()
if 'cc2' in spec:
with open(spec['cc2'], 'rb') as src:
... | zrax/cctools | res/gen_tilesets.py | gen_tilesets.py | py | 1,323 | python | en | code | 18 | github-code | 36 | [
{
"api_name": "struct.pack",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "struct.pack",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "struct.pack",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "struct.pack",
"line_number": ... |
40943554690 | import sys
import ruamel
from ruamel.yaml import YAML
from datetime import datetime, date, time
from common import *
import fileinput
class NonAliasingRTRepresenter(ruamel.yaml.RoundTripRepresenter):
def ignore_aliases(self, data):
return True
def main():
out = {'races': []}
yaml = YAML(typ='sa... | pkdawson/workrobot | new_schedule.py | new_schedule.py | py | 2,605 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "ruamel.yaml",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "ruamel.yaml.YAML",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "datetime.date.today",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "datetime.date",
... |
26672929841 | #!/usr/bin/env python
import argparse
import itertools
import pandas as pd
def getCmdArgs():
p = argparse.ArgumentParser(description="Add scenes in neighboring rows of scenes in a given scene ID list.")
p.add_argument("-l", "--list", dest="scn_list", required=True, default=None, metavar="CSV_OF_SCENE_LIST",... | zhanlilz/landsat-tools | landsat-albedo-pipeline/buffer_scene_list.py | buffer_scene_list.py | py | 3,074 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "itertools.izi... |
21885184448 | """
Device discovery
"""
import enum
import re
from dataclasses import asdict, dataclass
from queue import Empty, Queue
from socket import inet_ntoa
from typing import Dict, Generator, List, Optional
import click
import requests
import usb
from zeroconf import ServiceBrowser, ServiceInfo, ServiceStateChange, Zeroconf... | BrewBlox/brewblox-ctl | brewblox_ctl/discovery.py | discovery.py | py | 7,942 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "enum.Enum",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 45,
"usage_type": "name"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 56,
"usage_type": "name"
},
{
"api_name": "typing.Opt... |
9817120997 | import itertools
import os
import pandas as pd
import pickle
import random
import torch
from torchvision import datasets
from tqdm import tqdm
from scipy import rand
import data_handler
from models import AlexNet, Vgg16
def generate_model_testset_results(model, testset_path):
"""
Evaluate whole 'imagenetv2-m... | tlabarta/helpfulnessofxai | experiment_creator.py | experiment_creator.py | py | 7,853 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torchvision.datasets.ImageFolder",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "torchvision.datasets",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "tqdm.tqdm",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.se... |
42157253168 | """empty message
Revision ID: c4665b8d682b
Revises: 10dbb0e0a903
Create Date: 2019-12-26 14:38:11.609539
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'c4665b8d682b'
down_revision = '10dbb0e0a903'
branch_labels = None
depends_on = None
def upgrade():
# ... | FeelingsLw/flask_demo2 | migrations/versions/c4665b8d682b_.py | c4665b8d682b_.py | py | 646 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "alembic.op.add_column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integer... |
74953743465 | """Unit tests for the config module."""
import os
import pytest
from wmtmetadata.config import Config, ConfigFromFile, ConfigFromHost
from wmtmetadata.host import HostInfo
from . import data_dir
tmp_dir = '/tmp'
sample_config_file = os.path.join(data_dir, 'wmt-config-siwenna.yaml')
host = 'siwenna.colorado.edu'
name... | csdms/wmt-metadata | wmtmetadata/tests/test_config.py | test_config.py | py | 1,593 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.join",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "wmtmetadata.config.Config",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "wmtmetadata.confi... |
19483517480 | '''
函数说明:
Author: hongqing
Date: 2021-08-04 14:23:54
LastEditTime: 2021-08-04 15:23:25
'''
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
numoffinger=21
class Net(nn.Module):
def __init__(self,type=1):
super(Net, self).__init__()
self.fc1 = nn.Linear(numoffing... | KouseiHongqing/KouseiPose | mymodel.py | mymodel.py | py | 1,095 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torch.nn.Module",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "torch.nn.Linear",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_nu... |
17541630757 | import glob
import os
import random
import shutil
import numpy as np
import torch
import torch.nn as nn
import torchvision.transforms.v2 as T
def set_seed(seed: int = 42):
"""Sets the seed for reproducibility."""
random.seed(seed)
np.random.seed(seed)
os.environ["PYTHONHASHSEED"] = str(seed)
torc... | xkurozaru/fewshot-finetune-domain-adaptation | common/utils.py | utils.py | py | 1,761 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "random.seed",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"lin... |
16879280056 | import requests
import json
import urllib3
from settings import settings as settings
from sdwan_operations import monitor as sdwanmn
import time
import sys, getopt
urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
def main(argv):
# To run the program use the syntax:
# python __main__.py -d <... | stantiku/sdwan_monitor | __main__.py | __main__.py | py | 2,117 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "urllib3.disable_warnings",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "urllib3.exceptions",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "getopt.getopt",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "getopt.G... |
27414823832 |
import logging
import os
from copy import deepcopy
from harmony.util import shortened_id
from harmony.repository_state import RepositoryState
logger = logging.getLogger(__name__)
def commit(local_location_id, working_directory, location_states, repository_state):
"""
Scan the given working directory for cha... | Droggelbecher/harmony | harmony/file_state_logic.py | file_state_logic.py | py | 9,182 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "harmony.util.shortened_id",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "harmony.repository_state.RepositoryState",
"line_number": 163,
"usage_type": "call"
},
{
... |
5058919782 |
from django.db import models
# Create your models here.
class Meal(models.Model):
menu = models.TextField(blank=True)
def __str__(self):
return self.menu
class MealList(models.Model):
date = models.DateField(blank=True)
breakfast = models.ForeignKey(
Meal,
blank=True,
... | KaceTH/django_api-0.00.90 | MealTable/models.py | models.py | py | 1,139 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.db.models.Model",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.db.models.TextField",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "... |
7595057258 | from os import path
from subprocess import check_output, check_call
from pathlib import Path
def _filename(fname):
import yapl
yapl_root = Path(yapl.__file__).parent
filename = fname + ".sh"
full_filename = yapl_root / filename
return str(full_filename)
def func(fname, *args):
shell_script = _... | padresmurfa/yapl | python_library/yapl/internal/shell_call.py | shell_call.py | py | 613 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pathlib.Path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "yapl.__file__",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "subprocess.check_output",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "subprocess.chec... |
1904857127 | from scipy import linalg
import numpy as np
import scipy.optimize as sopt
import matplotlib.pyplot as plt
from scipy.optimize import fsolve
from scipy.optimize import LinearConstraint
from matplotlib import cm
import tabulate
import math
START_POINT = [2,2]
# fun - main muction
def fun(x: np.ndarray) -> np.float64:
... | BON4/FuncOptimization | constarint_optimization.py | constarint_optimization.py | py | 6,464 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.ndarray",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "numpy.float64",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "numpy.ndarray",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "numpy.float6... |
73202366184 | import os, sys
from langchain.llms import OpenAI
from langchain.chains.question_answering import load_qa_chain
from langchain.embeddings.openai import OpenAIEmbeddings
from langchain.vectorstores import FAISS
prefix, query = sys.argv[1:3]
api_key = os.environ.get('OPENAI_API_KEY')
if api_key is None:
sys.exit("O... | d2jvkpn/x-ai | pkg/langchain/langchain_query.py | langchain_query.py | py | 833 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.argv",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_numb... |
4758110469 | import os, random
import numpy as np
import torch
import argparse
from train import train
def init_seeds(seed=0):
random.seed(seed)
np.random.seed(seed)
torch.manual_seed(seed)
torch.cuda.manual_seed(seed)
torch.cuda.manual_seed_all(seed)
def parsing_args(c):
parser = argparse.ArgumentParser(... | cool-xuan/msflow | main.py | main.py | py | 2,580 | python | en | code | 15 | github-code | 36 | [
{
"api_name": "random.seed",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.manual_seed",
... |
35090835676 | #!/usr/bin/python
######################################################################################
## Find disk usage under a root directory, examples:
## 1. python du_rootdir.py -d rootDir
## Find disk usage under the root directory "rootDir"
## 2. python du_rootdir.py -d rootDir -r true
## Find di... | zhichang-guo/Scripts | du_rootdir.py | du_rootdir.py | py | 2,785 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.listdir",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number... |
38869163941 | from pathlib import Path
import pandas as pd
from sklearn.metrics import make_scorer, accuracy_score, f1_score, roc_auc_score
from imblearn.metrics import geometric_mean_score, sensitivity_score, specificity_score
def get_slovak_data(business_area, year, postfix):
print("Loading Slovak data...")
path_bankrupt ... | kanasz/TabNet | src/base_functions.py | base_functions.py | py | 1,548 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pathlib.Path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_... |
74731484265 | import torch
from torch.optim.optimizer import Optimizer
class COCOB(Optimizer):
r"""Implements COCOB algorithm.
It has been proposed in `Training Deep Networks without Learning Rates Through Coin Betting`_.
Arguments:
params (iterable): iterable of parameters to optimize or dicts defining
... | bremen79/parameterfree | parameterfree/cocob.py | cocob.py | py | 4,274 | python | en | code | 73 | github-code | 36 | [
{
"api_name": "torch.optim.optimizer.Optimizer",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "torch.enable_grad",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "torch.zeros_like",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "tor... |
11624227934 | import re
import sys
from napalm import get_network_driver
from getpass import getpass
def pretty_print(d, indent=0):
for key, value in d.items():
print('\t' * indent + str(key))
if isinstance(value, dict):
pretty_print(value, indent+1)
elif isinstance(value, list):
... | pkomissarov/cisco-parsers | parsecfg.py | parsecfg.py | py | 3,480 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "re.findall",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 80,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 91,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 92,
... |
15744632677 | import multiprocessing
import optparse
import os
import re
from error import InvalidProjectGroupsError
from error import NoSuchProjectError
from error import RepoExitError
from event_log import EventLog
import progress
# Are we generating man-pages?
GENERATE_MANPAGES = os.environ.get("_REPO_GENERATE_MANPAGES_") == "... | GerritCodeReview/git-repo | command.py | command.py | py | 17,769 | python | en | code | 267 | github-code | 36 | [
{
"api_name": "os.environ.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.cpu_count",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "error.RepoExitError",
... |
22660738512 | # data_processing.py
from shapely import wkb
from shapely.geometry import shape
import binascii
import psycopg2
ewkb_data = None
def get_variable_ewkb():
global ewkb_data
print("variable ewkb")
print(ewkb_data)
return ewkb_data
def process_for_view(data):
global ewkb_data # Declare ewkb_da... | Fakhrynm/serverdatatrainingsitepython | Processdataview.py | Processdataview.py | py | 1,054 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "shapely.geometry.shape",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "shapely.wkb.dumps",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "shapely.wkb",
"line_number": 35,
"usage_type": "name"
}
] |
26246312144 | import serial
from sense_hat import SenseHat
from socket import gethostname
from xbee import XBee
from statistics import median
def clear_matrix():
sense.clear()
def show_hostname():
hostname = gethostname()
sense.show_message("Hostname: " + hostname)
def receive_data(data):
print("received data: ", ... | tristndev/UzL_DSN | Tutorial 4/ex04_01_RSSI_to_distance.py | ex04_01_RSSI_to_distance.py | py | 4,390 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "socket.gethostname",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "xbee.send",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "statistics.median",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "statistics.median",
... |
23006702098 |
import torch
import numpy as np
from torch._C import dtype
from torch import nn
from torch.nn import functional as F
from torchvision import transforms
from torchvision.transforms import functional as TF
class ImageAugmentation():
def __init__(self):
super().__init__()
"""
PepperSaltNoise
... | xmu-xiaoma666/SDATR | models/augmentation.py | augmentation.py | py | 6,969 | python | en | code | 18 | github-code | 36 | [
{
"api_name": "numpy.random.rand",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "torch.full",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.full",
"line... |
1313517117 | from __future__ import print_function
import argparse
import keras
from data_utils import load_data
from sklearn.model_selection import train_test_split
from model import vgg16
from hyperspace import hyperdrive
num_classes = 10
batch_size = 32
epochs = 5
# The data, shuffled and split between train and test sets:
... | yngtodd/vgg_hyper | vgg_hyper/main.py | main.py | py | 2,878 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "data_utils.load_data",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "keras.utils.to_categorical",
"line_number": 23,
"usage_type": "call"
},
... |
73368915303 | from __future__ import print_function
import numpy as np
np.random.seed(1337)
from itertools import product
from sklearn import cluster
from sklearn.externals import joblib
from keras.datasets import mnist
from sklearn.neighbors import KNeighborsClassifier
from scipy.misc import imresize
from keras.utils import np_util... | jmendozais/lung-nodule-detection | bovw.py | bovw.py | py | 12,019 | python | en | code | 11 | github-code | 36 | [
{
"api_name": "numpy.random.seed",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "numpy.empty",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.double",
"lin... |
28111130337 | from django.db.models import Avg
from django.shortcuts import render, redirect
from django.contrib import messages
from django.contrib.auth.decorators import login_required
from django.contrib.auth.models import User
from dinnerevent.models import Review
from .forms import UserRegisterForm, ProfileForm
def register(r... | taheeraahmed/Dinnersharing | middagproj/users/views.py | views.py | py | 1,640 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "forms.UserRegisterForm",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "forms.ProfileForm",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.contrib.messages.success",
"line_number": 21,
"usage_type": "call"
},
{
"api_name... |
31310132227 | """Extract KML data into DataFrame."""
from typing import Dict, Sequence, Union
import numpy as np
import pandas as pd
from pykml import parser
from pykml.factory import KML_ElementMaker as KML
NS = {"t": "http://www.opengis.net/kml/2.2"}
def read_kml(filepath: str) -> KML.kml:
"""Read a KML file.
Param... | dankkom/kmldata | kmldata/parser.py | parser.py | py | 6,224 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pykml.parser.parse",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "pykml.parser",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "pykml.factory.KML_ElementMaker.kml",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name"... |
22654441124 | from matplotlib.colors import ListedColormap
from sklearn import neighbors, datasets
import numpy as np
from matplotlib import pyplot as plt
from sklearn.neural_network import MLPClassifier
from sklearn.model_selection import train_test_split
# same process as svm
np.random.seed(0)
iris = datasets.load_iris()
X = iris... | fh-Zh/Classification.old | bpnn.py | bpnn.py | py | 1,918 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.random.seed",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "sklearn.datasets.load_iris",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sklearn.... |
7078437282 | import os
import base64
import argparse
from cliff.command import Command
from cliff.show import ShowOne
from cliff.lister import Lister
from meteoroid_cli.meteoroid.v1.client.function_client import FunctionClient
from meteoroid_cli.meteoroid.v1.errors import CommandError
from meteoroid_cli.meteoroid.v1.libs.decorator... | OkinawaOpenLaboratory/fiware-meteoroid-cli | meteoroid_cli/meteoroid/v1/function.py | function.py | py | 7,858 | python | en | code | 5 | github-code | 36 | [
{
"api_name": "os.path.splitext",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 50,
"usage_type": "attribute"
},
{
"api_name": "base64.b64encode",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "meteoroid_cli.meteoroi... |
23420270770 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import datetime
from django.utils.timezone import utc
class Migration(migrations.Migration):
dependencies = [
('stock', '0088_auto_20160620_1304'),
]
operations = [
migrations.Create... | pmmrpy/SIGB | stock/migrations/0089_auto_20160622_1414.py | 0089_auto_20160622_1414.py | py | 2,301 | python | es | code | 0 | github-code | 36 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.CreateModel",
"line_number": 16,
"usage_type": "call"
},
... |
6688406212 | from langchain.chat_models import ChatOpenAI
from langchain.output_parsers import PydanticOutputParser
from langchain.prompts import ChatPromptTemplate
from pydantic import BaseModel, Field
from dotenv import load_dotenv
from typing import List
import pandas as pd
import os
# loading api key and defining vars
load_d... | oresttokovenko/gpt-anki | src/generate_flashcards.py | generate_flashcards.py | py | 2,043 | python | en | code | 9 | github-code | 36 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
... |
27875338483 | import json
import requests
from openerp.tests.common import HttpCase
from openerp import api, exceptions, tools, models
HOST = '127.0.0.1'
PORT = tools.config['xmlrpc_port']
class Webhook(models.Model):
_inherit = 'webhook'
@api.one
def run_wehook_test_get_foo(self):
"""
This method i... | Blancorama/blancorama_tools | webhook/tests/test_webhook_post.py | test_webhook_post.py | py | 3,596 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "openerp.tools.config",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "openerp.tools",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "openerp.models.Model",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "opene... |
27551610430 | import argparse
import logging
import os
import shutil
import sys
import tarfile
import tempfile
import traceback
from zipfile import ZIP_DEFLATED, ZIP_STORED, ZipFile
import rdiffweb
from rdiffweb.core.librdiff import LANG, STDOUT_ENCODING, find_rdiff_backup, popen
logger = logging.getLogger(__name__)
# Increase th... | ikus060/rdiffweb | rdiffweb/core/restore.py | restore.py | py | 9,753 | python | en | code | 114 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "tarfile.open",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "tarfile.PAX_FORMAT",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "tarfile.open",... |
2884786469 | # coding:utf-8
# @Time : 2020/4/21 19:18
# @Author: Xiawang
# Description:
import datetime
import time
import requests
import smtplib
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart
from email.header import Header
'''
用于主流程监控定期执行并发送报警信息
'''
def get_fix_time():
now_time = dat... | Ariaxie-1985/aria | task/send_auto_test_report.py | send_auto_test_report.py | py | 7,283 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "datetime.datetime.now",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "datetime.timedelta",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "reque... |
33279344042 | import requests, json
BaseURL = 'https://paper-api.alpaca.markets'
OrdersURL = '{}/v2/orders'.format(BaseURL)
Headers = {"APCA-API-KEY-ID": "PKU31JDVN0AYRLMI1MEQ", "APCA-API-SECRET-KEY": "LVgw3y2RuffyDAMsjDR2EfscgsokGNTsuSEn3LUb"}
def create_order(symbol, qty, side, type, time_in_force):
data = {
'symbol'... | Jacob-Kenney/JagBot | 4.Buy stocks/Buystocks.py | Buystocks.py | py | 534 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "requests.post",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 17,
"usage_type": "call"
}
] |
2317503124 |
import torch
import torch.nn as nn
import torch.nn.functional as F
from core.loss.multi_task import MultiTaskProxy
from core.loss.segment import SemanticSegmentation
from core.loss.matting import ImageMatting
from core.loss.grad import MattingGrad, ImageGradient
class JointMattingParsingLoss(nn.Module):
def __i... | xinyunmian/matting | core/loss/joint.py | joint.py | py | 1,456 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torch.nn.Module",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "core.loss.segment.SemanticSegmentation",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "... |
6129429499 | import argparse
from src.gt_merger import constants
def get_parser():
parser = argparse.ArgumentParser()
parser.add_argument('--obaFile', type=str, required=True, help='Path to CSV file exported from OBA Firebase '
'Export App')
parser.a... | CUTR-at-USF/onebusaway-travel-behavior-analysis | src/gt_merger/args.py | args.py | py | 2,668 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "src.gt_merger.constants.OUTPUT_DIR",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "src.gt_merger.constants",
"line_number": 13,
"usage_type": "name"
},
{... |
26825630541 | #!/usr/bin/python
import numpy as np
import matplotlib.pyplot as plt
import argparse, os, sys, glob, time
from tqdm import tqdm
from skimage.transform import resize
import cPickle
from keras.layers import average
from keras.models import load_model, Model
from training_utils import scale_data, compute_time_series
im... | DominicL3/hey-aliens | simulateFRBclassification/predict.py | predict.py | py | 13,210 | python | en | code | 6 | github-code | 36 | [
{
"api_name": "os.environ",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "PlotCand_dom.FilReader",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "PlotCand_dom.extractPlotCand",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "n... |
20077173649 | from django.urls import resolve
from rest_framework import status
from rest_framework.reverse import reverse
from rest_framework.test import APITestCase, APIRequestFactory
from cars.models import Car, Manufacturer
from cars.serializers import CarGetSerializer
from cars.views import CarListCreateView
factory = APIRequ... | tomasz-rzesikowski/cars_API | cars/tests/tests_views/tests_car_list_view.py | tests_car_list_view.py | py | 1,620 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "rest_framework.test.APIRequestFactory",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "rest_framework.test.APITestCase",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "cars.views.CarListCreateView",
"line_number": 15,
"usage_type": "ca... |
35217198422 | import requests
from urllib.request import urlopen
import urllib
from selenium import webdriver
from bs4 import BeautifulSoup
import http.client
from openpyxl import Workbook
from openpyxl import load_workbook
from openpyxl.writer.excel import ExcelWriter
from openpyxl.cell.cell import ILLEGAL_CHARACTERS_RE
import json... | Just-Doing/python-caiji | src/work/20210719/tydexoptics.py | tydexoptics.py | py | 5,791 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "http.client.client",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "http.client",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "urllib.request.build_opener",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "urlli... |
31748860310 | import numpy as np
from timeit import default_timer as timer
from numba import vectorize
@vectorize(['float32(float32, float32)'], target='cuda')
def gpu_pow(a, b):
return a ** b
@vectorize(['float32(float32, float32)'], target='parallel')
def cpu_para_pow(a, b):
return a ** b
def cpu_pow(a, b, c):
fo... | Purdue-Academic-Projects/AI_Final_Project | heart_rate_ai/cuda_test/cuda_tutorial.py | cuda_tutorial.py | py | 1,237 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numba.vectorize",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numba.vectorize",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.random.sample",
... |
34622506671 | import os
import zipfile
from pathlib import Path
import warnings
from shutil import rmtree
import time
import pandas as pd
import numpy as np
import SimpleITK as sitk
from tqdm import tqdm
from segmentation_metrics import compute_segmentation_scores
from survival_metrics import concordance_index
class AIcrowdEvalu... | voreille/hecktor | src/aicrowd_evaluator/evaluator.py | evaluator.py | py | 11,240 | python | en | code | 65 | github-code | 36 | [
{
"api_name": "pathlib.Path",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_nu... |
75273737705 | import tkinter
import pyperclip
sirka = 500
vyska = 450
data = []
size = []
c = tkinter.Canvas(width=sirka, height=vyska)
c.pack()
def copy():
cptxt = '('
for i in range(size[1]):
cptxt += '0b' + ''.join(str(e) for e in data[i]) + ','
if i == size[1] - 1:
cptxt = c... | branislavblazek/notes | Python/projekty/char_creator.py | char_creator.py | py | 1,990 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "tkinter.Canvas",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pyperclip.copy",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "tkinter.Button",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "tkinter.Button",
"lin... |
18483593432 | import random
import numpy as np
import matplotlib.pyplot as plt
from PIL import Image, ImageFilter
from torchvision import datasets, transforms
class RandomGaussianBlur(object):
def __call__(self, image):
if random.random() < 0.5:
image = image.filter(ImageFilter.GaussianBlur(
... | TWSFar/GhostNet-MNIST | datasets/mnist.py | mnist.py | py | 1,738 | python | en | code | 5 | github-code | 36 | [
{
"api_name": "random.random",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "PIL.ImageFilter.GaussianBlur",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "PIL.ImageFilter",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "random.ran... |
41826934545 | # import sqlite library
import sqlite3
# create a database and make a connection.
conn = sqlite3.connect("first.db")
cursor = conn.cursor()
sql = """UPDATE programs
SET program_level = 'Master''s'
WHERE program_name IN ('Anthropology', 'Biology')"""
cursor.execute(sql)
sql = """INSERT INTO students(student, id_prog... | Ngue-Um/DHRI-June2018-Courses-databases | scripts/challenge.py | challenge.py | py | 430 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sqlite3.connect",
"line_number": 5,
"usage_type": "call"
}
] |
74273514024 | import numpy as np
import jax
from jax import lax, random, numpy as jnp
import flax
from flax.core import freeze, unfreeze
from flax import linen as nn
from flax import optim
from typing import Any, Callable, Sequence, Optional
import pickle
from tensorflow import keras
file_prefix = "struct"
activation = nn.relu... | mselezniova/ntk_beyond_limit | ntk_train_dynamics.py | ntk_train_dynamics.py | py | 5,198 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flax.linen.relu",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "flax.linen",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "flax.linen.Module",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "flax.linen",
... |
73381842664 |
import matplotlib.pyplot as plt
import numpy as np
#IMAGEN 1
Imagen='33.jpg'
I=plt.imread(Imagen)
plt.title('Imagen original')
plt.imshow(I)
plt.show()
rgb = [0.2989, 0.5870, 0.1140]
ig = np.dot(I[...,:3], rgb)
plt.imshow(ig,cmap='gray')
plt.axis('off')
plt.savefig('b&w.png',bbox_inches='tight',pad_inches=0,dpi=1200... | BrianCobianS/Capitulo4-Python | rgb.py | rgb.py | py | 1,806 | python | es | code | 0 | github-code | 36 | [
{
"api_name": "matplotlib.pyplot.imread",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.title",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matpl... |
70064817065 | import jsonschema
from API.validation import error_format
class Validate_AddChannel():
def __init__(self, data):
self.data = data
self.schema = {
"type": "object",
"properties": {
"name": {"type": "string"},
"type": {"type": "string"... | OStillman/ODACShows | API/validation/add_channel_validation.py | add_channel_validation.py | py | 1,067 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "jsonschema.validate",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "jsonschema.exceptions",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "API.validation.error_format.FormatValidationError",
"line_number": 22,
"usage_type": "call... |
8451867993 | from collections import deque
from collections import namedtuple
PairedTasks = namedtuple('PairedTasks', ('task_1', 'task_2'))
def compute_task_assignment(task_durations: list):
durations = deque(sorted(task_durations))
total_time = 0
while durations:
total_time = max(total_time, durations.pople... | kashyapa/coding-problems | epi/revise-daily/6_greedy_algorithms/1_compute_optimum_task_assignment.py | 1_compute_optimum_task_assignment.py | py | 594 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "collections.namedtuple",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 8,
"usage_type": "call"
}
] |
13549248356 | import random
import Crypto
from Crypto.PublicKey import RSA
from Crypto import Random
import ast
import pyDes
from Crypto.Cipher import DES
from config import max_input_bit_length
import time
def OT_transfer(m0,m1,bit):
m0=int(m0)
m1=int(m1)
x0=random.randint(0, 2**1024-1)
x1=random.randint(0, 2**1024-1)
#loadi... | makeapp007/cryptography | mpc/code/nbit-comparator/ot.py | ot.py | py | 2,974 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "random.randint",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "Crypto.PublicKey.RSA.importKey",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "Crypto.P... |
73290357865 | import json
import numpy as np
import matplotlib
matplotlib.use('TkAgg')
import matplotlib.pyplot as plt
# 读取JSON文件
with open('./47_data.json') as f:
data = json.load(f)
# 将数据转换为NumPy数组
images = np.array(data)
# 创建一个2x4的子图，用于显示8张图片
fig, axs = plt.subplots(2, 4)
# 迭代显示每张图片
for i, ax in enumerate(axs.flatten()):
... | LazySheeeeep/Trustworthy_AI-Assignments | 1/testing_images_showcase.py | testing_images_showcase.py | py | 696 | python | zh | code | 0 | github-code | 36 | [
{
"api_name": "matplotlib.use",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"... |
21130491503 | import psycopg2
from config import host, user, password, db_name
try:
# подключение к существующей БД
connection = psycopg2.connect(
host=host,
user=user,
password=password,
database=db_name
)
connection.autocommit = True
# курсор для предоставления операций над БД
... | Tosic48/pizzeria | main2.py | main2.py | py | 3,728 | python | ru | code | 0 | github-code | 36 | [
{
"api_name": "psycopg2.connect",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "config.host",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "config.user",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "config.password",
"line_num... |
71038363623 | import collections
import numpy as np
from math import pi
def log_gaussian_prob(obs, mu, sig):
num = (obs - mu) ** 2
denum = 2 * sig ** 2
# norm = 1 / sqrt(2 * pi * sig ** 2)
# prob = norm * exp(-num/denum)
log_prob = (-num / denum) + 0.5 * (np.log(2) + np.log(pi) + 2 * np.log(sig))
return log_prob
clas... | Xiaohong-Deng/algorithms | AIML/gaussianNaiveBayes/classifier.py | classifier.py | py | 3,774 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.log",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "math.pi",
"line_number": 11,
"usage_type": "argument"
},
{
"api_name": "collections.defaultdict",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict... |
29673546988 | import boto3
import gzip
import json
import os
from math import ceil
from pymongo import MongoClient
def load_file(filepath):
documents = {}
lines = open(filepath, 'r').read().splitlines()
for line in lines:
columns = line.split('\t')
documents[columns[0]] = columns[1]
return documents... | edgargaticaCU/DocumentMetadataAPI | data_checker.py | data_checker.py | py | 3,767 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "gzip.open",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "math.ceil",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "math.ceil",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 84,
... |
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