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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
204846583 | import json
import numpy as np
import random
from sklearn.model_selection import KFold
from skmultilearn.model_selection import iterative_train_test_split
# Set a fixed seed for reproducibility
SEED = 42
random.seed(SEED)
np.random.seed(SEED)
# Load data from .jsonl files
def load_jsonl(filename):
with open(file... | LearnItAnyway/corpus_ko_AI_competition_2023 | comp_1_EA/split.py | split.py | py | 3,156 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "random.seed",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "json.loads",
"lin... |
2283778204 | import os
import sys
import json
try:
directory = sys.args[1]
except:
directory = 'review_json/'
file_names = os.listdir(directory)
reviews = [json.loads(open(directory+fn, 'r').read()) for fn in file_names]
reviews.sort(key=lambda r:len(r['text'])) # sort by length of review
reviews = reviews[5:] # get rid... | nlomeli/nlp-with-python | load_reviews.py | load_reviews.py | py | 1,435 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "sys.args",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 12,
"usage_type": "call"
}
] |
75034385973 | from smartystreets_python_sdk import StaticCredentials, exceptions, ClientBuilder
from smartystreets_python_sdk.us_street import Lookup as StreetLookup
import os
import logging
from application_services.base_address_service import BaseAddressService
class SmartyAddressService(BaseAddressService):
def __init__(... | FergsCloud5/MovieRecApp-UserService | application_services/smarty_address_service.py | smarty_address_service.py | py | 1,562 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "application_services.base_address_service.BaseAddressService",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "os.environ",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 18,
"usage_type": "attribute"
... |
1190844481 | import datetime
import json
import re
from time import sleep
import scrapy
from scrapy import Request
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from Art... | canggeng/ArticleSpider | ArticleSpider/spiders/zhihu.py | zhihu.py | py | 9,043 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "time.sleep",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 47,
... |
74873474291 | import nltk
from nltk import Tree
from constants import *
import spacy
import networkx as nx
nlp = spacy.load('en_coref_sm')
nltk.download('punkt')
nltk.download('averaged_perceptron_tagger')
nltk.download('maxent_ne_chunker')
nltk.download('words')
LOCATION_RELATED_VERBS = ["locate", "headquart", "found", "base", "... | soylent-grin/textext | helpers.py | helpers.py | py | 13,186 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "spacy.load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "nltk.download",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "nltk.download",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "nltk.download",
"line_number... |
9021278540 | ##################################################################################################################################################################################
# Author: Jackson Sholdice, August 28th, 2023
# File contains functions related to intial start up for new user.
# Also contains function... | jsholdice/NanoAssembler-Automation | Helper_Functions.py | Helper_Functions.py | py | 13,963 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "HMI_Image_Library.Service",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "HMI_Image_Library.System_State",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "HMI_Image_Library.Start_Connection",
"line_number": 21,
"usage_type": "call"
}... |
42859799903 | from django.urls import path
from django.contrib.staticfiles.storage import staticfiles_storage
from django.views.generic.base import RedirectView
from .views import home_view, download_pdf, another_home, change_theme, change_another
app_name = 'portfolio'
urlpatterns = [
path('h', home_view, name='ho... | parthishere/my-website | portfolio/urls.py | urls.py | py | 662 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.urls.path",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "views.home_view",
"line_number": 11,
"usage_type": "argument"
},
{
"api_name": "django.urls.path",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "views.another_h... |
38899278105 | import streamlit as st
import base64
import streamlit.components.v1 as stc
#base UI config, reload -> apply other pages
def ui_analysis():
#Header
#st.image('./icon/plants_icon.png',width=500)
st.title('LightGBM Classification for CSV Dataset')
#display GIF on home
def display_GIF():
fil... | shosuke-13/Stream-GBM | main.py | main.py | py | 914 | python | en | code | 5 | github-code | 21 | [
{
"api_name": "streamlit.title",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "base64.b64encode",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "streamlit.markdown",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "streamlit.info",
... |
5784476865 | from pathlib import Path
from collections import defaultdict
def get_coordinates(left, top, w, h):
x = left + 1
y = top + 1
start_x = x
start_y = y
out = 0
for i in range(start_y, start_y + h):
y = i
for j in range(start_x, start_x + w):
x = j
... | JohnVicke/Kattis | day3.1.py | day3.1.py | py | 1,097 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pathlib.Path",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 31,
"usage_type": "call"
}
] |
12269596119 | from flask import Flask, render_template, url_for, redirect, session, request
import firebase_admin
from firebase_admin import credentials, firestore
from flask.helpers import flash
from flask.templating import render_template_string
from werkzeug.security import generate_password_hash, check_password_hash
from functoo... | catursantoso/mc-agent | app.py | app.py | py | 5,881 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "firebase_admin.credentials.Certificate",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "firebase_admin.credentials",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "firebase_admin.initialize_app",
"line_number": 10,
"usage_type": "call"
... |
45053285251 | import glob
import tensorflow as tf
import numpy as np
import os
import sys
import wandb
from wandb.keras import WandbCallback
from d169 import DepthEstimate
RESTORE_SAVE = False
tf.get_logger().setLevel('ERROR')
#os.environ['WANDB_MODE'] = 'dryrun' # Testing for funcitonality
if RESTORE_SAVE:
wandb.init(project="m... | ben9583/MC_DepthNN | main.py | main.py | py | 6,030 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "tensorflow.get_logger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "wandb.init",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "wandb.init",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "tensorflow.config.list_ph... |
3617224481 | # maze.py
# Written by Eirik Vesterkjær, 2017
#
# Maze generator
# Uses a randomized Prim's Algorithm to create a MST of cells.
# Can be used wiht a CLI or in other projects
import random
import sys
import argparse
import logging
from utils import check_positive
"""
Prints the maze elements
@arg maze: 2d array
"""
d... | eirikeve/maze | maze.py | maze.py | py | 6,615 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "random.seed",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 111,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 149,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"l... |
11314237230 | from django.core.cache import cache
from django.utils import timezone
import logging
logger = logging.getLogger("cached")
class CachedAbstract(object):
KEY_PREFIX = 'abstract'
@classmethod
def _key(cls, *models, modifiers):
return "{}:{}".format(cls.KEY_PREFIX, ",".join(
[str(m.pk i... | madaian/a-plus | lib/cached.py | cached.py | py | 2,560 | python | en | code | null | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.utils.timezone.now",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "django.utils.timezone",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "djan... |
31099587957 | import os
from distutils.core import setup
from distutils.extension import Extension
from Cython.Distutils import build_ext
import numpy
def scandir(dir, files=[]):
for file in os.listdir(dir):
path = os.path.join(dir, file)
if os.path.isfile(path) and path.endswith(".pyx"):
files.app... | aurelienpierre/Image-Cases-Studies | setup.py | setup.py | py | 2,163 | python | en | code | 39 | github-code | 21 | [
{
"api_name": "os.listdir",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.isfile",
"line_numbe... |
8110942191 | import pandas as pd # package for high-performance, easy-to-use data structures and data analysis
import numpy as np # fundamental package for scientific computing with Python
import matplotlib
import matplotlib.pyplot as plt # for plotting
import seaborn as sns # for making plots with seaborn
import plotly.offl... | woodsgoing/hyperparam-optimize | fast_eda.py | fast_eda.py | py | 25,495 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "pandas.get_dummies",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line... |
26158324270 | import os
import argparse
from os.path import join as pjoin
from typing import Mapping, Optional
import numpy as np
import textworld
from textworld.utils import uniquify
from textworld.logic import Variable, Proposition
from textworld.generator import QuestGenerationError
from textworld.generator import World
from te... | microsoft/TextWorld | textworld/challenges/tw_treasure_hunter/treasure_hunter.py | treasure_hunter.py | py | 8,814 | python | en | code | 1,102 | github-code | 21 | [
{
"api_name": "os.path.join",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
... |
39429600750 | from itsdangerous import URLSafeTimedSerializer
from flask_mail import Message
from app import app, mail
ts = URLSafeTimedSerializer(app.config["SECRET_KEY"])
def send_email(email, subject, html):
msg = Message(
subject,
recipients=[email],
html=html,
sender=app.config['MAIL_DEFAU... | cassizx/flask_todo_app | app/app/utils.py | utils.py | py | 357 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "itsdangerous.URLSafeTimedSerializer",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "app.app.config",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "app.app",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "flask_ma... |
36778543973 | from datetime import datetime, timedelta
# 日期时间差获取
dt1 = datetime.strptime("2020-04-04 9:20:05", "%Y-%m-%d %H:%M:%S")
dt2 = datetime.strptime("2020-05-05 19:30:05", "%Y-%m-%d %H:%M:%S")
diff = dt2 - dt1
print("相差天数：{}, 相差小时：{:.2f}".format(diff.days, diff.seconds/(60*60)))
# 日期加减操作timedelta
dt = datetime.now()
n = 10... | diaoyuqiang/python | datetime_delta.py | datetime_delta.py | py | 438 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "... |
16031391732 | import argparse
from CP.src.CPSolver import CPSolver
from SAT.src.SATSolver import SATSolver
from MIP.src.mip import MIP
from SMT.src.SMTSolver import SMTSolver
if __name__ == '__main__':
parser = argparse.ArgumentParser(
prog="VLSI multi paradigm Solver",
epilog="See '<command> --help' to read a... | rrMat/VLSI-Multi-Paradigm-Solver | main.py | main.py | py | 5,181 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "CP.src.CPSolver.CPSolver.acceptable_models",
"line_number": 32,
"usage_type": "attribute"... |
36027945115 | import random
import pygame
from game.damage import Damage
class Explosion:
def __init__(self, start_pos, explosion_sheet, size, damage_amount, damage_type):
self.radius = size
self.collideRadius = self.radius
self.explosionSheet = explosion_sheet
self.explosionFrames = 16
... | MyreMylar/scrolling_shooter | game/explosion.py | explosion.py | py | 2,322 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "random.randrange",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pygame.Rect",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pygame.transform.scale",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pygame.transform"... |
9870272047 | from typing import Any
import aioredis
import pickle
from pyot.core.exceptions import NotFound
from pyot.pipeline.token import PipelineToken
from pyot.pipeline.expiration import ExpirationManager
from pyot.core.resources import ResourceTemplate
from pyot.utils.logging import LazyLogger
from .base import Store, StoreT... | iann838/Pyot | pyot/stores/rediscache.py | rediscache.py | py | 2,576 | python | en | code | 100 | github-code | 21 | [
{
"api_name": "pyot.utils.logging.LazyLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "base.Store",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "base.StoreType.CACHE",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "ba... |
21282341499 | #!/usr/bin/env python3
from typing import List
class LineerRegression:
def __init__(self,learning_rate,epoches):
self.learning_rate = learning_rate;
self.epoches = epoches;
def fit(self, X: List[List[int]], y: List[int]):
self.b = 0
self.X = X
... | MineGoksen/LineerRegression | LR.py | LR.py | py | 2,741 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.List",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": ... |
7658755972 | import logging
import requests
from settings import TELEGRAM_CHAT_ID, TELEGRAM_TOKEN, TELEGRAM_URL, WAIT_TIME
def send_message(dir_name):
text = (
"No han llegado nuevos ficheros al directorio"
f" {dir_name} en los últimos {round((WAIT_TIME / 60), 2)} minutos"
)
url = (
f"{TELEGR... | jask90/file_checker | telegram.py | telegram.py | py | 596 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "settings.WAIT_TIME",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "settings.TELEGRAM_URL",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "settings.TELEGRAM_TOKEN",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "sett... |
70253576372 | from collections import deque
class TreeNode(object):
def __init__(self, x):
self.val = x
self.left = None
self.right = None
class Codec:
def serialize(self, root):
if not root:
return None
serialized_str = ''
q = deque()
q.append(root)
... | borget/cracking-the-coding-interview | coding/trees/serialize_deserialize_binary_tree.py | serialize_deserialize_binary_tree.py | py | 1,537 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.deque",
"line_number": 15,
"usage_type": "call"
}
] |
32855173504 | from django.db import models
from Products.models import Products
from Inventory.models import RawMaterials, PackingMaterials
# Create your models here.
class Plan(models.Model):
planNo = models.AutoField(primary_key=True)
date = models.DateField(auto_now_add=True)
isSaved = models.BooleanField(default=... | OsamaRiasat/Saffron-BE | Planning/models.py | models.py | py | 2,400 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.db.models.Model",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.db.models.AutoField",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": ... |
9728205252 | """
Deep fashion dataset:
http://mmlab.ie.cuhk.edu.hk/projects/DeepFashion.html
"""
from .image_dataset import ImageDataset
from pathlib import Path
import pandas as pd
from easydl.metrics import recall_in_k_pytorch, recall_in_k_query_index
import numpy as np
from easydl.config import get_config_from_cmd
def show_i... | xiaonanzzz/easy-deep-learning-pytorch | easydl/datasets/deep_fashion.py | deep_fashion.py | py | 4,208 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "easydl.config.get_config_from_cmd",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pandas.re... |
70387768372 | import traceback
import numpy as np
from collections import OrderedDict
from pygeoiga.nurb.nurb_creation import NURB
from pygeoiga.plot.nrbplotting_mpl import p_cpoints, p_knots, p_surface, create_figure
from pygeoiga.plot.solution_mpl import p_temperature
import matplotlib.colors as mcolors
from tqdm.autonotebook impo... | danielsk78/pygeoiga | pygeoiga/nurb/multipatch_NURBS.py | multipatch_NURBS.py | py | 10,666 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "collections.OrderedDict",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pygeoiga.nurb.nurb_creation.NURB",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "matplotlib.colors.CSS4_COLORS.keys",
"line_number": 29,
"usage_type": "call"
}... |
2208474342 | import pygame
import time
import numpy as np
from pygame.draw import *
def mandelbrot(precision, area):
"""
Draw a mandelbrot set in selected area on the screen. Making "precision"
iterations for every point on the screen.
area = (xmin,ymin,delta)
"""
#start = time.time() #measuring calculating time (starting po... | SimeonStylites/My_programs | Mandelbrot-2.py | Mandelbrot-2.py | py | 2,419 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.zeros",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.mgrid",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros_like",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.abs",
"line_n... |
74306470133 | from django.shortcuts import render
from Utilities.views import EmptyAPIView, AuthAPIView, JsonMessage
from .models import Menu, Pizza, Ingredient
from django.http import HttpResponse
import random
import json
# Create your views here.
class RetrieveIngredients(AuthAPIView):
def post(self,request):
in... | GiorgioBelli/Accunniscila | src/Accunniscila/Menu/views.py | views.py | py | 1,827 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "Utilities.views.AuthAPIView",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "models.Ingredient.objects.all",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "models.Ingredient.objects",
"line_number": 16,
"usage_type": "attribute"
},
... |
71173892852 | # -*- coding: utf-8 -*-
import logging
from copy import deepcopy
from openn.openn_exception import OPennException
from openn.models import *
class Updater(object):
logger = logging.getLogger(__name__)
def __init__(self, repository_configs):
self._configs = repository_configs
def update(self, t... | KislakCenter/openn | openn/repository/updater.py | updater.py | py | 1,998 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
}
] |
38794771516 | import json
import os
# import cookielib
# import urllib2
from bs4 import BeautifulSoup
import re
import date_converter
import django
import pymysql
from urllib.request import urlopen
from back.settings import BASE_DIR
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "back.settings")
django.setup()
from apps import mod... | Xenorian/mirror_v2 | back/apps/github_spider/Requester/ReposRequester.py | ReposRequester.py | py | 34,231 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "os.environ.setdefault",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "django.setup",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "apps.github_spider... |
29276004675 | import os
import re
import logging
import argparse
from ikomia.core import config
logger = logging.getLogger(__name__)
def _to_pascal_case(string: str):
return re.sub(r"(_|-)+", " ", string).title().replace(" ", "")
def _get_full_base_class(base_class: str):
if base_class == "CWorkflowTask":
retur... | Ikomia-dev/create_ikomia_algorithm | create_ikomia_algorithm.py | create_ikomia_algorithm.py | py | 4,310 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 33,... |
27624581484 | """Training procedure for NICE.
"""
import argparse
import torch, torchvision
from torchvision import transforms
import numpy as np
import VAE
import pickle
import matplotlib.pyplot as plt
import os
N = 100
def train(vae : VAE.Model, trainloader, optimizer, epoch, device):
vae.train() # set to training mode
... | AvivSham/VAE_pytorch | train.py | train.py | py | 4,785 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "VAE.Model",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "VAE.Model",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "torch.device",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "torch.no_grad",
"... |
6541028697 | from django.urls import path
from polls import class_views
urlpatterns = [
path("poll-class-view/", class_views.PollView.as_view(), name="poll-class-view"),
path("question-class-view/", class_views.QuestionView.as_view(), name="question-class-view"),
path("answer-class-view/", class_views.AnswerView.as_vi... | KarolinaKL88/mysite | polls/class_urls.py | class_urls.py | py | 1,640 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "polls.class_views.PollView.as_view",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "polls.class_views.PollView",
"line_number": 6,
"usage_type": "attribute"
},
{
"... |
40319907451 | from flask import Flask, render_template, request
from modal import Modal
from rapid_api import MovieDatabase
recommender_obj = Modal()
app = Flask(__name__)
app.config['SECRET_KEY'] = ''
@app.route('/', methods=['GET', 'POST'])
def home():
return render_template("index.html")
@app.route('/recomend', methods=['... | JAIDHEER007/Project-Space-3 | main.py | main.py | py | 920 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "modal.Modal",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
... |
71922360053 | from appium import webdriver
from UI自动化框架2.page1.basepage1 import BasePage
from UI自动化框架2.page1.main1 import Main
class App(BasePage):
_appPackage = 'com.xueqiu.android'
_appActivity = '.view.WelcomeActivityAlias'
def start(self):
if self._driver is None:
des_caps... | dingyuanxia/appiumxueqiu | page1/app1.py | app1.py | py | 982 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "UI自动化框架2.page1.basepage1.BasePage",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "appium.webdriver.Remote",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "appium.webdriver",
"line_number": 22,
"usage_type": "name"
},
{
"api_nam... |
38523428526 | import datetime
from forex_python.converter import CurrencyRates
from forex_python.converter import CurrencyCodes
c = CurrencyRates()
usd = c.get_rates('USD')
print(usd)
krw = c.get_rates('KRW')
print(krw)
c = CurrencyRates()
usd_krw = c.get_rates('USD')['KRW']
print(usd_krw)
krw_usd = c.get_rates('KRW')['USD']
pr... | minwook-shin/learning-code | python/Forex-test/main.py | main.py | py | 876 | python | en | code | 6 | github-code | 21 | [
{
"api_name": "forex_python.converter.CurrencyRates",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "forex_python.converter.CurrencyRates",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 20,
"usage_type": "call"
},... |
11983560262 | from torch.utils.data import Dataset
import numpy as np
import os
class CLDHGH(Dataset):
def __init__(self,path,start,end,size,gan_scale=False):
height=1800
width=3600
picts=[]
for i in range(start,end):
s=str(i)
if i<10:
s="0"+s
fi... | Meso272/PyTorch-GAN | implementations/cesm.py | cesm.py | py | 1,241 | python | en | code | null | github-code | 21 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "numpy.fromfile",
... |
39871244954 | from config.models import Author , Quote
from mongoengine.errors import NotUniqueError
from config.db import mongoconect
import json
author_data = 'authors.json'
quote_data = 'qoutes.json'
def data_load(data):
with open(data, encoding='utf-8') as fd:
data_json = json.load(fd)
return(data_json)
def... | MSRoma/python_web_hw8 | MongoDB/seed.py | seed.py | py | 1,048 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "json.load",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "config.models.Author.objects",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "config.models.Author",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "config.mo... |
23286921431 | import cv2 as cv
img = cv.imread('Photos/group 1.jpg')
gray = cv.cvtColor(img,cv.COLOR_BGR2GRAY)
#Reads the xml face
haar_cascade = cv.CascadeClassifier('haar_face.xml')
#Returns coordinates of rectangle with FACe
faces_rect = haar_cascade.detectMultiScale(gray,scaleFactor = 1.1,minNeighbors=1)
print("Number of fa... | DeVcB13d/OpenCV_Tut | 15_Detect_faces.py | 15_Detect_faces.py | py | 477 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "cv2.imread",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "cv2.CascadeClassifier",
... |
26929313243 | import os
import numpy as np
import cv2
import rasterio
import csv
import math
img_dir = '/home/Image_Processing/July/images_w7/'
bin_dir = '/home/Image_Processing/July/binaries_w7/'
csv_dir = '/home/Image_Processing/July/csv_w7/'
img_filenames = sorted(os.listdir(img_dir))
csv_filenames = sorted(os.listdir(csv_dir))... | aNaravi/crop-counting-and-detection | annotating/geo-csv_to_bin.py | geo-csv_to_bin.py | py | 1,176 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.listdir",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "rasterio.open",
"line_number": 1... |
29361802401 | __doc__ = ""
__author__ = "Reed Essick (reed.essick@ligo.org)"
#-------------------------------------------------
import glob
import time
import numpy as np
import subprocess as sp
### non-standard libraries
try:
from lalframe import frread
except ImportError:
frread = None
try:
from lal.gpstime impor... | reedessick/exposure | exposure/datafind.py | datafind.py | py | 6,781 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "lalframe.frread",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "lal.gpstime.tconvert",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "lal.gpstime.tconvert",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "lal.gpstime... |
71019292854 | import numpy as np
import scipy.sparse as sp
import torch
from sklearn.metrics import f1_score
from collections import defaultdict
import matplotlib.pyplot as plt
import dill
metrics=['recall@20','recall@40', 'recall@60', 'recall@80', 'recall@100', 'prec@20', 'prec@40', 'prec@60', 'prec@80', 'prec@100', 'hit@20', 'hit@... | linmengsysu/HetLGN | plot.py | plot.py | py | 1,878 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "dill.load",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
... |
20934782825 | # a script to scrape data from bls for a particular metro/nonmetro region using beautiful soup
import requests
import pandas as pd
import numpy as np
from bs4 import BeautifulSoup
from tabulate import tabulate
import sqlite3
import re
conn = sqlite3.connect('/mnt/c/Users/seans/OneDrive/Desktop/better_bls_fl... | syeo-1/betterbls | wage_data_helpers/retrieve_data.py | retrieve_data.py | py | 5,347 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sqlite3.connect",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
... |
17809056627 | import argparse, os, sys, utils, mixtas, execute
import logging
import datetime
# parse arguments (-B)
parser = argparse.ArgumentParser(description="Script to infer a potential co-infection")
# INPUT parameters
parser.add_argument("inp_dir", help="input directory that contains the fastq files")
parser.add_argument("-... | alicia2p/TFM_tbcoinfections | tb_coinfection.py | tb_coinfection.py | py | 5,626 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
33200857248 | """
Train a detector with standard patches and transformed patches.
Usage: python patch_network_train_point.py --training mexico_tilde_p24_Mexico_train_point --test mexico_tilde_p24_Mexico_test_point [Option]
General options:
--learning_rate Starting learning rate (default 0.01)
--training Name of the tr... | ColumbiaDVMM/Transform_Covariant_Detector | tensorflow/patch_network_train_point.py | patch_network_train_point.py | py | 7,430 | python | en | code | 34 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 75,
"usage_type": "name"
},
{
"api_name": "patch... |
24261618801 | import cv2
import numpy as np
from torchvision import transforms
from PIL import Image
to_pil = transforms.ToPILImage()
def recenterImageOnEyes(img,window):
blurwindow = 7 #31 # Must be an odd number
rows = len(img)
cols = len(img[0])
grey = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
blur = cv2.GaussianBlur(g... | oliviermirat/ZZDeepRollover | zzdeeprollover/imageTransformFunctions.py | imageTransformFunctions.py | py | 1,493 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "torchvision.transforms.ToPILImage",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "cv2.cvtColor",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "c... |
38202102559 | # -*- coding: utf-8 -*-
"""
Created on Fri Nov 22 20:13:19 2019
@author: cogillsb
"""
import os
from keras.layers import Input, Dense, concatenate
from keras.layers.advanced_activations import LeakyReLU
from keras.models import Model
from keras.optimizers import Adam
import numpy as np
import matplotlib.... | syanglab/HRM | hrm_aws.py | hrm_aws.py | py | 6,069 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "numpy.arange",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.array",
... |
31100607471 | import requests
from datetime import datetime, timedelta
import time
# EDIT THIS SECTION
age = 36
pincodeMode = False
pincodes = ["600001"]
states = ["Tamil Nadu"]
districts = ["Chennai", "Chengalpet"]
num_days = 2
retry = 1
infiniteLoop = True
#filter_type = ["COVAXIN","COVISHIELD"]
#filter_dose = ["available_capaci... | sktg84/CoWin-Vaccine-Notifier | script.py | script.py | py | 7,002 | python | en | code | null | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.today",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",... |
34529736165 | from django.forms import ModelForm, DateInput
from recipes.models import DayIntensity
class DayIntensityForm(ModelForm):
class Meta:
model = DayIntensity
# datetime-local is a HTML5 input type, format to make date time show on fields
widgets = {
'date': DateInput(attrs={'type': 'date'}, format='%Y-... | Imran122/food_update | cal/forms.py | forms.py | py | 1,072 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "recipes.models.DayIntensity",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.forms.DateInput",
"line_number": 9,
"usage_type": "call"
}
] |
7607971377 | from aiogram.types import InlineQuery, InputTextMessageContent, InlineQueryResultArticle,InlineQueryResultPhoto,InputMediaPhoto,InputMediaVideo,InlineQueryResultVideo,InlineQueryResultAudio,InputMediaAudio, InputMessageContent
from loader import dp
from utils.ismlar import ismlar_manosi
import hashlib
# @dp.in... | rakhmatov-kamoliddin/Ismlar-manosi_tg-bot | handlers/users/inlinemode.py | inlinemode.py | py | 4,076 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "aiogram.types.InlineQuery",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "utils.ismlar.ismlar_manosi",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "aiogram.types.InputTextMessageContent",
"line_number": 30,
"usage_type": "call"
},... |
73036775413 | """ Utilities for IGMSurvey code
"""
from __future__ import print_function, absolute_import, division, unicode_literals
import glob
import json
import pdb
from linetools import utils as ltu
from pyigm.abssys import utils as pyasu
from .igmsurvey import IGMSurvey
def load_sys_files(inp, type, ref=None, sys_path=F... | LiuFang816/SALSTM_py_data | python/pyigm_pyigm/pyigm-master/pyigm/surveys/utils.py | utils.py | py | 2,398 | python | en | code | 9 | github-code | 21 | [
{
"api_name": "pyigm.abssys.utils.class_by_type",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "pyigm.abssys.utils",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "glob.glob",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "linetoo... |
74813030131 | import collections
class Solution(object):
def uncommonFromSentences(self, A, B):
"""
:type A: str
:type B: str
:rtype: List[str]
"""
l1, l2 = A.split(), B.split()
dic = collections.Counter(l1 + l2)
res = []
for word in dic:
if dic[... | kduan005/Leetcode | leetcode884.py | leetcode884.py | py | 393 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.Counter",
"line_number": 10,
"usage_type": "call"
}
] |
17915521445 | from django.urls import path, include
from . import views
urlpatterns = [
path('', views.home, name='home'),
path('about/', views.about, name='about'),
path('community/', views.community, name='community'),
path('popular/', views.all_questions, name='all_questions'),
path('my_communities/', views.m... | pavnkb/Django_Forum | forum/urls.py | urls.py | py | 1,424 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.urls.path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
9842565131 | import pandas as pd
import matplotlib.pyplot as plt
def classify_by_season(data):
data['order_date'] = pd.to_datetime(data['order_date'])
season_map = {1: 'winter', 2: 'spring', 3: 'summer', 4: 'fall'}
data['season'] = data['order_date'].dt.month.map(lambda x: season_map[(x % 12 + 3) // 3])
demand_by_t... | Waylandite/TaidiProject | 第一问/08season_order.py | 08season_order.py | py | 1,231 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.to_datetime",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.show",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "pandas.to_... |
38986103235 | from collections import Counter
def solve_it(f: str) -> None:
"""
Return a consensus string and profile matrix for the collection. (If several possible consensus strings exist, then you may return any one of them.)
>>> solve_it('cons-sample_dataset')
ATGCAACT
A: 5 1 0 0 5 5 0 0
C: 0 0 1 4 2 0... | weitero/rosalind_solutions | bioinformatics_stronghold/cons-consensus_and_profile.py | cons-consensus_and_profile.py | py | 869 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.Counter",
"line_number": 24,
"usage_type": "call"
}
] |
24061092840 | import argparse
import json
import matplotlib.pyplot as plt
import numpy as np
import time
# # # # # # # # # #
# F U N C T I O N S
# # # # # # # # # #
def analyze_and_plot(filename):
# Load the training file and keep a count of how many observations we have per class label
counts = {}
phrases = {}
N = 0
with op... | tjdaley/nb_classifier | sample_analyzer.py | sample_analyzer.py | py | 1,732 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "json.loads",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.bar",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"... |
29571958567 | import argparse
parser = argparse.ArgumentParser()
parser.add_argument('-e','--entry',type=float,help="Entry Price")
parser.add_argument('-sl','--stoploss',type=float,help="Stop Loss")
parser.add_argument('-r','--risk',type=float,help="Total amount you want to risk(in %)")
parser.add_argument('-a','--account',type=fl... | Sayan-404/Position-Size-Calculator | psc.py | psc.py | py | 1,525 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 4,
"usage_type": "call"
}
] |
15436732172 | from enum import Enum
import pygame
class PlayerControls:
def __init__(self):
self.left = pygame.K_LEFT
self.right = pygame.K_RIGHT
self.up = pygame.K_UP
self.down = pygame.K_DOWN
def set_left(self, key):
self.left = key
def set_right(self, key):
self.rig... | GrazerComputerClub/Snake | config.py | config.py | py | 1,457 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pygame.K_LEFT",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pygame.K_RIGHT",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pygame.K_UP",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pygame.K_DOWN",... |
33045410222 | from django.shortcuts import render, redirect, HttpResponse, get_object_or_404
from django.contrib.auth.forms import UserCreationForm
from django.contrib.auth import authenticate, login, logout
from django.contrib.auth.decorators import login_required
from django.views import View
from .forms import LoginForm
from .mod... | AntonLazutin/PyStore | ecom/views.py | views.py | py | 3,232 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.views.View",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.shortcuts.render",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.redirect",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "d... |
73369566452 | # -*- coding: utf-8 -*-
#---------------------------------------------------------------
# Importing libraries
import numpy as np
import pandas as pd
import seaborn as sns
import tensorflow as tf
import matplotlib.pyplot as plt
#---------------------------------------------------------------
# Importing da... | TylerTsang/Data-Science-Archive | Practice/Tensorflow/01 -Tensorflow Practice_Bank.py | 01 -Tensorflow Practice_Bank.py | py | 3,656 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "seaborn.countplot",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "seaborn.pairplot",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocess... |
4067581592 | import numpy as np
import os
from fastcluster import complete
from tqdm import tqdm
import sys
sys.path.append("..")
from utils.metrics import compute_metrics
from scipy.cluster.hierarchy import fcluster
class CompleteLinkage(object):
def __init__(self, config, target_dir):
self.thresholds = config["thres... | ModShift/ModShift | baselines/completelinkage.py | completelinkage.py | py | 2,474 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.path.append",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
533072233 | import math
import numpy as np
from scipy.stats import norm
from cgpm.crosscat.engine import Engine
from cgpm.crosscat.state import State
from cgpm.mixtures.dim import Dim
from cgpm.mixtures.view import View
from cgpm.utils import general as gu
def gen_data_table(n_rows, view_weights, cluster_weights, cctypes, dis... | hiddenswitch/cgpm | src/utils/test.py | test.py | py | 12,353 | python | en | code | null | github-code | 21 | [
{
"api_name": "cgpm.utils.general.gen_rng",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "cgpm.utils.general",
"line_number": 64,
"usage_type": "name"
},
{
"api_name": "numpy.zeros",
"line_number": 79,
"usage_type": "call"
},
{
"api_name": "cgpm.mixtur... |
15936859581 |
import collections
import copy
import gc
from tensorflow.python.framework import _python_memory_checker_helper
from tensorflow.python.platform import tf_logging as logging
from tensorflow.python.profiler import trace
def _get_typename(obj):
objtype = type(obj)
name = objtype.__name__
module = getattr(objtype, '_... | Mockingbird01001/NLG-code-generator-LSTM | work/data/data_model/batch_2/python_memory_checker.py.transformed.py | python_memory_checker.py.transformed.py | py | 3,487 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "gc.collect",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "gc.get_objects",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "collections.Counter... |
2754178331 | # Imports
import streamlit as st
import pandas as pd
import numpy as np
from sklearn.metrics.pairwise import cosine_similarity
st.set_page_config(
page_title='Song Recommendation App',
initial_sidebar_state='expanded'
)
# Load Dataset
@st.cache
def load_data(data):
df = pd.read_csv(data)
df.drop(colum... | bhoskins23/Music_Recommender_Project | song_rec_app.py | song_rec_app.py | py | 4,618 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "streamlit.set_page_config",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "streamlit.cache",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "pandas.... |
36982844008 | from pydantic import BaseSettings, Field
from saq.job import CronJob
from app.tasks import counter, scrape_quote
class Settings(BaseSettings):
APP_ENV: str = Field("local", env="APP_ENV")
DEBUG: bool = Field(True, env="DEBUG")
REDIS_HOST = "localhost"
REDIS_PORT = 6379
REDIS_DB = 0
CACHES = {... | aprilahijriyan/popol | examples/app/settings/local.py | local.py | py | 1,979 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "pydantic.BaseSettings",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "pydantic.Field",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pydantic.Field",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "app.tasks.scrape_quo... |
20912254070 | import requests
from datetime import datetime, timedelta
from timeloop import Timeloop
import time
from decimal import Decimal
# Для добавления тикера в отслеживание, добавьте его в массив
tickers = ['XRPUSDT']
tl = Timeloop()
class PriceObserver:
def __init__(self, ticker):
self.ticker = ticker
... | Wagonowod/futures | api.py | api.py | py | 2,164 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "timeloop.Timeloop",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "decimal.Decimal",
... |
23901718413 | from django.http import response
from django.shortcuts import redirect, render
from django.core.files.storage import FileSystemStorage
from matplotlib import image
import requests
import json
import xmltodict
from .utils import get_plot, toDate
BASE_API_URL = "http://127.0.0.1:4000/api/"
# Create your views here.
def... | josearchi15/IPC2_Proyecto3_201314386 | sat_application/satapp/views.py | views.py | py | 3,031 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.shortcuts.render",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "xmltodict.parse",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "json.loads",
"... |
33899052133 | from typing import Any, Dict, List, Type, TypeVar, Union
import attr
from ..models.tax_collection_model import TaxCollectionModel
from ..models.tax_collection_responsible_party import TaxCollectionResponsibleParty
from ..types import UNSET, Unset
T = TypeVar("T", bound="TaxCollection")
@attr.s(auto_attribs=True)
c... | milyord/sp-api | sp/orders_v0/models/tax_collection.py | tax_collection.py | py | 2,863 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "typing.TypeVar",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "typing.Union",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "types.Unset",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "models.tax_collection_model.Ta... |
21526182012 | import numpy as np
import rospy
import rostopic
import yaml
import pickle
import franka_gripper.msg
from franka_gripper.msg import GraspEpsilon
from franka_teleop.srv import *
from sensor_msgs.msg import Image
from geometry_msgs.msg import PoseStamped
from sensor_msgs.msg import JoyFeedback, JoyFeedbackArray, JointStat... | ykawamura96/franka_demos | franka_teleop/python/task_executer.py | task_executer.py | py | 12,833 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "rospy.init_node",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "rospy.ServiceProxy",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "yaml.safe_load",
"... |
24336962931 | #WELCOME PAGE
import requests
import streamlit as st
from streamlit_lottie import st_lottie
from st_on_hover_tabs import on_hover_tabs
import json
st.set_page_config(
page_title="hack.her",
page_icon="👩💻",
layout="wide",
initial_sidebar_state="expanded"
)
#sidebar
# st.header("Custom tab componen... | mmsarkar/HCSGC | Home.py | Home.py | py | 1,644 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "streamlit.set_page_config",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "streamlit.balloons",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "streamlit.title",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "streamli... |
8590310953 | import configparser
import psycopg2
from sql_queries import create_table_queries, drop_table_queries
def drop_tables(cur, conn):
"""
The function to drop database
Parameters:
cur : The cursor that will be used to execute queries.
conn : The connection towards current connecti... | afontana1/Data-Engineering | projects/Data Engineering/etl-aws-redshift-python/create_tables.py | create_tables.py | py | 1,154 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "sql_queries.drop_table_queries",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "sql_queries.create_table_queries",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "configparser.ConfigParser",
"line_number": 35,
"usage_type": "call"
},
... |
39504078698 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Nov 30 10:25:27 2020
@author: yefersontorresberru
"""
import time
from selenium import webdriver
import os
from pymongo import MongoClient
try:
conn = MongoClient()
print("Connected successfully!!!")
except:
print("Could not connect ... | torresyeferson/DattaMinigCorruption | Scraping.py | Scraping.py | py | 6,592 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.mkdir",
"line_number": 177,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 202,
"usage_type": "call"
},
{
"api_name": "selenium.web... |
74853327732 | from django.urls import path
from .views import HelloView,IndexPageView,GoToIndexView
from django.views.generic.base import RedirectView
urlpatterns = [
path('hello/<slug:name>/', HelloView.as_view()
, name="hello-view"),
path('index/<slug:name>/', IndexPageView.as_view()
, name="index-view... | dalvescb/django_templates | class_views/done/urls.py | urls.py | py | 528 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "views.HelloView.as_view",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "views.HelloView",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.urls.pat... |
32360912990 | import os
from facebook_business.adobjects.adimage import AdImage
def create_hash_images(image_files: dict, path: str, ad_account_id: str):
files = []
for file in image_files:
image = image_files[file]
image_path = os.path.join(path, image.filename)
files.append(image_path)
ima... | PedroCruzADS/oxygen-campaign-creator | functions/creative_images.py | creative_images.py | py | 635 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.join",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "facebook_business.adobjects.adimage.AdImage",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "f... |
15710192190 | import logging
import numpy as np
import scipy.sparse
import tensorflow as tf
from sklearn.model_selection import train_test_split
from typing import (
Optional,
Dict,
Text,
List,
Tuple,
Any,
Union,
Generator,
NamedTuple,
ValuesView,
ItemsView,
)
from collections import def... | xiaolinpeter/rasa2.0_nlu | rasa/utils/tensorflow/model_data.py | model_data.py | py | 28,801 | python | en | code | 30 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "typing.Dict",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "typing.Text",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_num... |
33926635560 | # coding: utf-8
from sqlalchemy import Column, ForeignKey, Index, Integer, Numeric, SmallInteger, String, Table, text
from sqlalchemy.dialects.mssql.base import MONEY
from sqlalchemy.orm import relationship
from sqlalchemy.ext.declarative import declarative_base
Base = declarative_base()
metadata = Base.metadata
cl... | higorvaz/Senior-Dev-Technical-Test-DotNet | Python/Bank.py | Bank.py | py | 2,846 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sqlalchemy.ext.declarative.declarative_base",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integer",
"line_number": 15,
"usage_type": "argument"
},
{
... |
29476716341 | import math
import torch
from torch import nn
from torch.nn import functional as F
import numpy as np
import neural_network as mm
from neural_network import tf, tint
from replay_buffer import ReplayBuffer
from envs import AtariEnv
from rainbow import DQN
parser = argparse.ArgumentParser()
parser.add_argument("--lea... | bengioe/interference_and_generalization_in_td | atari_experiments/atari_td_lambda.py | atari_td_lambda.py | py | 7,924 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "torch.optim.SGD",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "torch.optim",
"line_number": 48,
"usage_type": "attribute"
},
{
"api_name": "torch.optim.SGD",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "torch.optim",
"l... |
29706958820 | from django.http import HttpResponse
from django.shortcuts import render, redirect
from openpyxl import load_workbook
from webapp import models
from webapp.utils.pagination import Pagination
def depart_list(request):
queryset = models.Department.objects.all()
page_object = Pagination(request, queryset, page_... | benben555/djangoProject | exp1/webapp/views/depart.py | depart.py | py | 1,674 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "webapp.models.Department.objects.all",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "webapp.models.Department",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "webapp.models",
"line_number": 10,
"usage_type": "name"
},
{
"... |
28949748113 | import glob
from torch.utils.tensorboard import SummaryWriter
import torch
import torch.nn as nn
import torch.utils.data as data
import cv2
import os
import numpy as np
from natsort import natsorted
class Max(nn.Module):
def __init__(self):
super(Max, self).__init__()
def forward(self,x): #输入是 b c h w
... | pksolar/sailus | callSum/callbase_3label_c12to4/callNet/model1.py | model1.py | py | 2,950 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.nn.Module",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "torch.nn.Module",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"li... |
10356290573 | from distutils.command.config import config
import gym
import torch
import numpy as np
from agents.vpg_agent import VPGAgent
from agents.ppo_agent import PPOAgent
from processor import InputProcessor
import torch.nn as nn
from logger import Logger
from metric import Metrics,Timer
from config import Config
from sampler ... | DiligentPanda/mrllib | mrl/trainer.py | trainer.py | py | 3,966 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "mpi_pytorch.setup_pytorch_for_mpi",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "logger.Logger",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pprint.pformat",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "metric... |
187904878 | import numpy as np
from ..util.convert import ConvertibleType
from typing import Any, Optional, Iterable, Callable, Tuple, List, Dict
GLOBAL_GROUP = ''
class analyzer_property:
def __init__(
self,
client_name: Optional[str] = None,
*,
default,
detail: Opti... | accup/VyJit | _lib/analyzer/core.py | core.py | py | 4,367 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.Optional",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "util.convert.ConvertibleT... |
74097202934 |
import argparse
import os
import argparse
import subprocess
import sys
import codecs
import logging
import json
from time import gmtime, strftime
import checker
import conf
import aux
parser = argparse.ArgumentParser(description='Linux kernel patch checker')
parser.add_argument('-k', action='store', dest='kconfig',... | FYNQ/PIT | src/python/build_utils.py | build_utils.py | py | 4,881 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "aux.is_tag_bef",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "conf.BASE",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "aux.is_patched"... |
72145094452 | import math
from torch import empty
from scripts.functional import lossMSE, dlossMSE, lossMAE, dlossMAE
# Losses classes
class LossMSE:
"""Class representing a Mean Squared Loss."""
def __init__(self):
"""Builds the Mean Squared Loss instance.
"""
self.output = None
self.tar... | zbirobin/Deep_Learning_Project_2 | scripts/training.py | training.py | py | 5,905 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "scripts.functional.lossMSE",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "scripts.functional.dlossMSE",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "scripts.functional.lossMAE",
"line_number": 61,
"usage_type": "call"
},
{
... |
36512161347 | #!/usr/bin/python
#!/usr/bin/env python
"""
###############################################################################
# Bucket Tracker
# Uses Intel Realsense Tracking Camera T265 to obtain pose, position and
# velocity.
# Publishes results in Network Tables
# This code is based on the intel realsense python wrap... | uutzinger/BucketTracker | BucketTrackerSimple.py | BucketTrackerSimple.py | py | 3,727 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "logging.basicConfig",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 42,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "thread... |
21528500885 | import time
from aiohttp import web
from aiohttp_session import get_session, setup
from aiohttp_session.cookie_storage import EncryptedCookieStorage
async def handler(request):
session = await get_session(request)
session['last_visit'] = time.time()
return web.json_response({
"status": True
})
... | gzm1997/aio_ooad | test_session/app.py | app.py | py | 526 | python | en | code | 7 | github-code | 21 | [
{
"api_name": "aiohttp_session.get_session",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "aiohttp.web.json_response",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "aiohttp.... |
38183458165 | import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from mpemu.cmodel import simple
class Net(nn.Module):
def __init__(self):
super(Net, self).__init__()
self.fc = nn.Linear(576, 120)
def forward(self, x):
x = self.fc(x)
return x
... | IntelLabs/FP8-Emulation-Toolkit | mpemu/cmodel/tests/linear_test.py | linear_test.py | py | 1,591 | python | en | code | 50 | github-code | 21 | [
{
"api_name": "torch.nn.Module",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "torch.nn.Linear",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numb... |
21302688835 | import string
def lista2():
lista2.var=[]
lista2()
#decifra codice ocn cfratura multipla
lettere=string.ascii_lowercase
def diz_codifica():
diz_codifica.var={}
diz_codifica()
def codifica1():
codifica1.var=""
codifica1()
n=0
n1=0
cifratura1=0
n2=5
print(lettere)
# ~ testo="djbpdjbpdjbpdjbpdjbpdjbpdjbpdjbpdjbp ekcq... | paolocassina2/file_python2 | file_python/cifratura/a_c_c_a.py | a_c_c_a.py | py | 5,246 | python | it | code | 0 | github-code | 21 | [
{
"api_name": "string.ascii_lowercase",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "string.ascii_lowercase",
"line_number": 79,
"usage_type": "attribute"
},
{
"api_name": "enchant.Dict",
"line_number": 204,
"usage_type": "call"
}
] |
29093162864 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Main script that runs the complete training, validation and test.
"""
import warnings
import os
os.environ["CUBLAS_WORKSPACE_CONFIG"] = ":4096:8"
import comet_ml
import pytorch_lightning as pl
import torch
from pytorch_lightning.loggers import CometLogger
from pytorch... | Jacob-Spiess/codraw_icr_generation | mymain.py | mymain.py | py | 3,589 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.environ",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pytorch_lightning.seed_everything",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "icr.config.config",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "to... |
71356825334 | #
# deobfuscator for scripts messed up with myobfuscate.com
# by Einar Lielmanis <einar@beautifier.io>
#
# written by Stefano Sanfilippo <a.little.coder@gmail.com>
#
# usage:
#
# if detect(some_string):
# unpacked = unpack(some_string)
#
# CAVEAT by Einar Lielmanis
#
# You really don't want to obfuscate your ... | beautify-web/js-beautify | python/jsbeautifier/unpackers/myobfuscate.py | myobfuscate.py | py | 2,762 | python | en | code | 8,320 | github-code | 21 | [
{
"api_name": "urllib.parse.unquote",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "re.DOTALL",
"line_number": 75,
"usage_type": "attribute"
},
{
"api_name": "re.search",
"line_n... |
31983443947 | import functools
import math
import operator
class Graph:
missing = math.nan
is_missing = math.isnan
def __init__(self, vertices):
self._vertices = set(vertices)
self._edges = {}
self._out_edges = {vertex: {} for vertex in self._vertices}
self._in_edges = {vertex: {} for v... | smailliwcs/pwscripts | python/graph.py | graph.py | py | 3,221 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "math.nan",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "math.isnan",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "functools.partial",
"line_number": 78,
"usage_type": "call"
},
{
"api_name": "operator.eq",
"line... |
14482274361 | import copy
import pickle
import torch
import numpy as np
import torch.nn as nn
from tqdm import tqdm
from sklearn.metrics import log_loss, roc_auc_score, mean_squared_error
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import LabelEncoder, MinMaxScaler
from deepctr_torch_local.inputs... | ChenXiang1998/AutoCTR | CTRAPI/OurAPI.py | OurAPI.py | py | 16,072 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "deepctr_torch_local.inputs.SparseFeat",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "deepctr_torch_local.inputs.DenseFeat",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "deepctr_torch_local.inputs.VarLenSparseFeat",
"line_number": 49,
... |
11694199825 | import requests
from ctypes import windll
import os
def setDesktopBackground(path):
windll.user32.SystemParametersInfoW(20, 0, path, 0)
def getImage():
# Call NASA APOD API to get image URL
response = requests.get('https://api.nasa.gov/planetary/apod?api_key=DEMO_KEY')
# Extract image URL from JSON ... | asayad1/APOD-Background | apod.py | apod.py | py | 857 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "ctypes.windll.user32.SystemParametersInfoW",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "ctypes.windll.user32",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "ctypes.windll",
"line_number": 6,
"usage_type": "name"
},
{
"a... |
40601311041 | import sys
import json
import os
import time
from flask import Flask, render_template, url_for, request, jsonify
# Start by finding the root directory of our script...
scriptDir = os.path.dirname(os.path.realpath(__file__))
# ...from which we can determine the root of the Market example...
rootDir = os.path.abspath... | datawire/datawire-connect | examples/market/monolith/market.py | market.py | py | 3,034 | python | en | code | 82 | github-code | 21 | [
{
"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": "os.path.abspath",
"... |
72495385652 | import asyncio
import random
from aiogram import Bot, Dispatcher, executor, types
from aiogram.types import ReplyKeyboardMarkup, KeyboardButton # for reply keyboard (sends message)
import codecs
import time
import datetime
from datetime import date
BOT_TOKEN = "5726127993:AAEmqkmE569eZ8UrDhGWHScjGA_Q7St1eck"
mates... | lolrdor1gamer/Mikolkakukushki | bot.py | bot.py | py | 4,581 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "aiogram.Bot",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "aiogram.Dispatcher",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "aiogram.types.KeyboardButton... |
37329778774 | import streamlit as st
from langchain.embeddings import OpenAIEmbeddings, HuggingFaceInstructEmbeddings
from langchain.vectorstores import FAISS
from langchain.chat_models import ChatOpenAI
from langchain.memory import ConversationBufferMemory
from langchain.chains import ConversationalRetrievalChain
from src.html_temp... | akshathmangudi/LLMBot | src/data_handling.py | data_handling.py | py | 2,790 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "langchain.embeddings.HuggingFaceInstructEmbeddings",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "langchain.vectorstores.FAISS.from_texts",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "langchain.vectorstores.FAISS",
"line_number": 26,
... |
12408542772 | import requests, json
from bs4 import BeautifulSoup
from db import db
def getSoupApi(url):
headers = {
'user-agent' : 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/97.0.4692.99 Safari/537.36',
'referer' : 'https://fastcampus.co.kr/'
}
respon... | alstjs1207/CourseScrapper | functions.py | functions.py | py | 3,292 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_nu... |
43544187008 | import sys
import json
from io import BytesIO
from PIL import Image
from ultralytics import YOLO
def process_image(image_data):
# Load the image from the buffer
image = Image.open(BytesIO(image_data))
# Convert the image to RGB if it's not already in that format
if image.mode != 'RGB':
image =... | BaxLi/AIUniversity-ARMS | python_script.py | python_script.py | py | 1,294 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "PIL.Image.open",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "io.BytesIO",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "ultralytics.YOLO",
"line_number"... |
71099294772 | """reseller document style
Revision ID: e60af25c82e5
Revises: d2a568dc5043
Create Date: 2020-06-29 09:21:28.145313
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'e60af25c82e5'
down_revision = 'd2a568dc5043'
branch_labels = None
depends_on = None
def upgrade... | vrcompugo/EV-Manager-Data-API | migrations/versions/e60af25c82e5_reseller_document_style.py | e60af25c82e5_reseller_document_style.py | py | 872 | python | en | code | 0 | github-code | 21 | [
{
"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.String"... |
1053582023 | import pickle as pkl
from tqdm import tqdm
from random import choices
import pandas as pd
from collections import Counter,OrderedDict
from os import listdir
from os.path import isfile, isdir, join
def negative_sampling(data, num_of_samples):
all_last_click = []
for i in data:
all_last_clic... | e199612/PC-LR | DART_DIN/01.neg_sampling.py | 01.neg_sampling.py | py | 3,959 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.Counter",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "random.choices",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"lin... |
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