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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
71426682600 | import os
from os import listdir
from os.path import isfile, join
import numpy as np
import pandas as pd
from plotly.subplots import make_subplots
import plotly.graph_objects as go
DATA_PATH = '/kaggle/input/efficientbx-melanoma-classification-with-tf'
# Importing Data
history_files = [f for f ... | aorursy/new-nb-3 | fredericods_from-efficientnetb0-to-b7-melanoma-classification.py | fredericods_from-efficientnetb0-to-b7-melanoma-classification.py | py | 5,876 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.listdir",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number"... |
21464080623 | #!/usr/bin/python
# coding: utf-8
import unittest, mock
import random
from giftcircle import GiftCircle
from senders import Sender, Email, SMS, config
class GiftCircleTests(unittest.TestCase):
def setUp(self):
f = open("test_unit.txt","w")
f.write("""Nombre1,correo1@example.com
Nombre2,correo2@ex... | jstitch/gift_circle | unit.py | unit.py | py | 10,433 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "unittest.TestCase",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "giftcircle.GiftCircle",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "giftcircle.GiftCircle",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "gi... |
40463553321 | from django.conf.urls import *
from django.contrib.auth.decorators import login_required
from django.views.generic import TemplateView
from .views import (
QuoteList, QuoteDetail, QuoteCreate, QuoteUpdate, QuoteDelete
)
urlpatterns = patterns(
'',
url(r'^$', login_required(QuoteList.as_view()), name='quote... | serkansokmen/Spuqi | spuqi/apps/quotes/urls.py | urls.py | py | 806 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.contrib.auth.decorators.login_required",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "views.QuoteList.as_view",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "views.QuoteList",
"line_number": 10,
"usage_type": "name"
},
{
... |
20936047004 | from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^$', views.index, name='index'),
url(r'^post/(?P<pk>\d+)/$', views.post_detail, name='post_detail'),
url(r'^post/new/$', views.post_new, name='post_new'),
url(r'^about', views.about, name='about'),
url(r'^blog', views.blog, name='blo... | ellinorronn/my-first-blog | blog/urls.py | urls.py | py | 328 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.conf.urls.url",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.co... |
8084106628 | import numpy as np
import matplotlib.pyplot as plt
from matplotlib.patches import Circle
n = 100000000
r = 1.0
a,b = (0.0,0.0)
xmin, xmax = a-r, a+r
ymin, ymax = b-r, b+r
x = np.random.uniform(xmin,xmax,n)
y = np.random.uniform(ymin,ymax,n)
fig = plt.figure(figsize=(6,6))
axes = fig.add_subplot(1,1,1)#添加子图
#画子图
plt... | WuXingWei-git/Workspace | MonteCarlo.py | MonteCarlo.py | py | 921 | python | zh | code | 0 | github-code | 18 | [
{
"api_name": "numpy.random.uniform",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.uniform",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.ran... |
9043777582 | import time
import matplotlib.pyplot as plt
class Node:
def __init__(self, node_number, x, y):
self.node_number = str(node_number)
self.x = float(x)
self.y = float(y)
def __str__(self):
return "Node " + self.node_number
class Graph:
global city_name
def __ini... | jimmy-han-2610/2-opt-on-TSP | 2-opt.py | 2-opt.py | py | 5,036 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.scatter",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "... |
72614091881 | # Import all the necessary packages
import numpy as np
import os
import cv2
import pandas as pd
import PySimpleGUI as sg
# Directory and Filename
MAIN_DIR = r"C:\Users\Argarot\images"
DANIIL_DIR = MAIN_DIR + "\calibration\\"
filename = 'IMG_20210727_181600.jpg'
# PySimpleGUI
sg.theme("LightGreen")
lay... | Argarot/Accelerated-automated-screening-of-graphene-suspensions-with-surfactants-for-optimal-conductivity | CODE for image recognition.py | CODE for image recognition.py | py | 7,984 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "PySimpleGUI.theme",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "PySimpleGUI.Text",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "PySimpleGUI.Slider",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "PySimpleGUI.Tex... |
42655327660 | #!/usr/bin/python3
#MediaWiki
## Inputs
# http://www.climatecongress.info/wiki/BotResource:cats
## Directs to
# http://www.climatecongress.info/wiki/US_CA_Legislature_info
# http://www.climatecongress.info/wiki/US_CA_Assembly_info
# http://www.climatecongress.info/wiki/US_CA_Senate_info
## Outputs
# http://www.climatec... | antoinemcgrath/mw_cp | mw_updator_twitter_rapid_action_pages.py | mw_updator_twitter_rapid_action_pages.py | py | 12,607 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.basicConfig",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "pymongo.MongoClient",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "time.sleep... |
75056800999 | #Grupo da Maioridade
import datetime
data = datetime.date.today().year
ano = 0
maior = 0
menor = 0
for c in range(1, 8):
ano = int(input(f'Digite a {c}º data: '))
idade = data - ano
if idade >= 18:
maior = maior + 1
else:
menor = menor + 1
print(f'{maior} Pessoas são de ... | deadpoetic/Curso-python | ex54.py | ex54.py | py | 361 | python | pt | code | 0 | github-code | 18 | [
{
"api_name": "datetime.date.today",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 5,
"usage_type": "attribute"
}
] |
71512449640 | from sklearn.externals import joblib
import pandas as pd
from tqdm import tqdm
import numpy as np
from lightgbm import LGBMClassifier, plot_importance, plot_metric, plot_tree, LGBMRanker
from sklearn.preprocessing import OneHotEncoder, LabelEncoder
from sklearn.metrics import accuracy_score, confusion_matrix, roc_auc_s... | dylanxia2017/Kaggle-Home-Credit-Default-Risk | credit_balance_a.py | credit_balance_a.py | py | 9,838 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.maximum... |
18389491252 | #!usr/bin/env python
# -*- coding:utf-8 -*-
# @author: Johnathon Qiang
# @file : parse.py
# @time : 2017/09/26 17:41:51
# @description：to be filled
from bs4 import BeautifulSoup
from python_spider_action.mzitu_spider.download import download_v3
from python_spider_action.mzitu_spider.util import save_v3, mongoUti... | keepwonder/python_spider | mzitu_spider/parse/parse_v3.py | parse_v3.py | py | 3,957 | python | zh | code | 1 | github-code | 18 | [
{
"api_name": "python_spider_action.mzitu_spider.download.download_v3.DownHtml",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "python_spider_action.mzitu_spider.download.download_v3",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "python_spider_action.mzitu... |
30633203866 | import os
import glob
from PIL import Image
import matplotlib.pyplot as plt
import numpy as np
#import tensorflow as tf
import sys
root_dir=sys.argv[1]
split_file=sys.argv[2]
dataset_split_path=os.path.join(root_dir, split_file)
with open(dataset_split_path, 'r') as split:
train_classes = [line.rstrip() for lin... | m2kulkarni/Oneshot-Learning | Scripts/rotated_dataset/make_dataset.py | make_dataset.py | py | 1,258 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "sys.argv",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
25827400430 | from typing import Iterator, NamedTuple
from datetime import datetime
from .base import Event
import logging
log = logging.getLogger(__name__)
class PushEventCommit(NamedTuple):
event_id: int
event_created_at: datetime
repo_name: str
org_name: str
actor_login: str
sha: str
author_name... | epam/OSCI | osci/crawlers/github/events/push.py | push.py | py | 1,446 | python | en | code | 139 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "typing.NamedTuple",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "datetime.datetime",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "base.Event",
... |
36538423681 |
from __future__ import print_function
import numpy as np
import sys
from collections import defaultdict
import gym
from gym import wrappers
def epsilon_greedy_policy(Q, state, num_actions, epsilon):
policy = np.ones(num_actions, dtype=float) * epsilon / num_actions
best_action = np.argmax(Q[state])
pol... | jacopodisi/ReinforcementLearning | functions/Sarsa_Lambda.py | Sarsa_Lambda.py | py | 3,321 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.ones",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.argmax",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"li... |
27728789269 | import setuptools
with open("README.md", "r") as f:
long_desc = f.read()
setuptools.setup(
name="depswarm",
version="0.0.1",
author="Eero Talus",
author_email="eero@talus.cc",
description="Easily deploy Docker Swarm stacks with dependencies.",
long_description=long_desc,
long_descripti... | eerotal/depswarm | setup.py | setup.py | py | 842 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "setuptools.setup",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 15,
"usage_type": "call"
}
] |
6530876424 | import numpy as np
import shapely
import vsketch
import pysometric as pyso
class Example01Sketch(vsketch.SketchClass):
"""
Creates a grid of boxes with fill and hatch texturing.
"""
unit_size = vsketch.Param(1.0, unit="cm")
def create_boxes(self):
boxes = []
top = {"textures": [... | svoisen/pysometric | examples/example01/sketch_example01.py | sketch_example01.py | py | 1,005 | python | en | code | 12 | github-code | 18 | [
{
"api_name": "vsketch.SketchClass",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "vsketch.Param",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pysometric.HatchTexture",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pysomet... |
12475534402 | import sys
import os
import smtplib
import pymysql.cursors
PDIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
sys.path.append(os.path.abspath(PDIR))
from settings import SmartAlphaPath, debug, get_email_txt_signature, get_reply_to_email
SETT = SmartAlphaPath()
sys.path.append(os.path.abspath(SETT.get_pa... | taatuco/sa_data_collection | core/send_mail.py | send_mail.py | py | 3,822 | python | en | code | 5 | github-code | 18 | [
{
"api_name": "os.path.dirname",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line... |
33695443298 | import tensorflow as tf
from six.moves import cPickle
# Loading net skeleton with parameters name and shapes.
with open("./util/net_skeleton.ckpt", "rb") as f:
net_skeleton = cPickle.load(f)
# The DeepLab-LargeFOV model can be represented as follows:
## input -> [conv-relu](dilation=1, channels=64) x 2 -> [max_po... | DrSleep/tensorflow-deeplab-lfov | deeplab_lfov/model.py | model.py | py | 8,679 | python | en | code | 220 | github-code | 18 | [
{
"api_name": "six.moves.cPickle.load",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "six.moves.cPickle",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "tensorflow.contrib.layers.xavier_initializer_conv2d",
"line_number": 36,
"usage_type": "call"
},... |
10974961029 | #coding: utf-8
from bs4 import BeautifulSoup as bs
import requests
# CONSTANTS
FEMALE_TIP = '\xe5\xa5\xb9'
GENDER_TIP = u'\u6027\u522b\uff1a'
FEMALE = '\xe5\xa5\xb3'
MALE = '\xe7\x94\xb7'
# Source
urlFather = 'http://bj.xiaozhu.com/search-duanzufang-p1-0/'
webDataFather = requests.get(urlFather)
soupFather = bs(webDa... | TigerHorse/MuggleCoding_easyPython | 01wd03.py | 01wd03.py | py | 2,901 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"... |
25851389931 | from re import M
import sys, getopt, os
# from mpi4py import MPI
# rank = MPI.COMM_WORLD.Get_rank()
# # set only one visible device
# os.environ["CUDA_VISIBLE_DEVICES"] = f"{rank}"
# os.environ["JAX_PLATFORM_NAME"] = "cpu"
sys.path.append('/storage/praha1/home/mezic/.local/lib/python3.7/site-packages')
import netket a... | mmezic/NQS_Shastry-Sutherland | main_benchmark_table.py | main_benchmark_table.py | py | 23,214 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.path.append",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "sys.version",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "netket.__version__",
... |
25031572003 | from pyspark import SparkContext, SparkConf
from time import time
import sys
import math
import csv
class Task2Point1():
def __init__(self):
self.pearson_similarities = {}
def setup(self):
conf = SparkConf().setAppName('DM_assign3_task2point1').setMaster('local[*]')
sc = ... | Viraj27/USC-Data-Mining-DS553- | Assignment 3/task2_1.py | task2_1.py | py | 9,832 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pyspark.SparkConf",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pyspark.SparkContext.getOrCreate",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pyspark.SparkContext",
"line_number": 14,
"usage_type": "name"
},
{
"api_name"... |
42745394166 | from __future__ import annotations
from typing import Any, Callable, List, Protocol, Tuple, TypeVar, Union, Optional, Dict
from collections import defaultdict
from copy import copy
from attrs import define, Factory, frozen, evolve
import jax
from jax.interpreters.ad import JVPTracer
import jax.numpy as jnp
from inter... | redwoodresearch/interp | interp/tools/grad_modify_query.py | grad_modify_query.py | py | 10,196 | python | en | code | 10 | github-code | 18 | [
{
"api_name": "typing.TypeVar",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "typing.Union",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "typing.Protocol",
"line_n... |
14097507649 | import motor
import redis.asyncio as redis
from beanie import init_beanie
from fastapi import FastAPI
from app.config import Settings, settings
from app.user.models.sign_up import SignUpSessionDB
from app.user.models.user import UserDB
from app.user.routers import sign_up
app = FastAPI()
app.include_router(sign_up, ... | stounfo/day_statistic_backend | app/main.py | main.py | py | 1,052 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "app.config",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "fastapi.FastAPI",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "app.config.include_router",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "app.user.routers... |
43426749719 | from itertools import islice
import requests, pickle, re, os, time
from django.conf import settings
from bs4 import BeautifulSoup
from nltk.corpus import stopwords
from nltk.tokenize import word_tokenize
stop_words = set(stopwords.words('english'))
with open(os.path.join(settings.BASE_DIR, r'analysis\Naive\classifier... | SiddiqSonic/Tracer | ScraperApi/WebScraper.py | WebScraper.py | py | 10,059 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "nltk.corpus.stopwords.words",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwords",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path"... |
35272864758 | from peewee import (SqliteDatabase,
Model,
CharField,
DateField,
BooleanField,
ForeignKeyField)
from pathlib import Path
db = SqliteDatabase(Path(__file__).resolve().parent.parent/'bot.sqlite3')
class User(Model):
... | Julia-Shejko/PlannerBot | core/models.py | models.py | py | 651 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "peewee.SqliteDatabase",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "peewee.Model",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "peewee.CharField",
... |
28056584598 | #!/usr/bin/env python3
import os
import signal
from threading import Thread
from datetime import datetime
from time import sleep
from subprocess import Popen
import shlex
from bottle import run, get, request, HTTPResponse
def fetch_unix_time():
return int(datetime.now().timestamp())
def run_cmd(cmd, start_tim... | odanado/twitter-trigger | server.py | server.py | py | 1,149 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "datetime.datetime.now",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "subprocess.Popen",... |
27336627701 | # -*- coding: utf-8 -*-
# Authors: Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Joan Massich <mailsik@gmail.com>
#
# License: BSD Style.
import numpy as np
from ...utils import verbose
from ._utils import _fetch_one, _data_path, AGE_SLEEP_RECORDS
from ._utils import _check_subjects
data_path = _data_p... | soheilbr82/BluegrassWorkingMemory | Python_Engine/Lib/site-packages/mne/datasets/sleep_physionet/age.py | age.py | py | 4,468 | python | en | code | 5 | github-code | 18 | [
{
"api_name": "_utils._data_path",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "numpy.loadtxt",
"line_number": 83,
"usage_type": "call"
},
{
"api_name": "_utils.AGE_SLEEP_RECORDS",
"line_number": 83,
"usage_type": "argument"
},
{
"api_name": "numpy.wh... |
33782072231 | from rk4 import rk4
import numpy as np
import matplotlib.pyplot as plt
#Vars
G = 1
M = 1
h = 1
n = 10
#Init
y0 = np.array([-0.97000436, 0.24308753])
v0 = np.array([-0.46620368, -0.43236573])
y1 = np.array([0.97000436, -0.24308753])
v1 = np.array([-0.46620368, -0.43236573])
y2 = np.array([0., 0.])
v2 = np.array([0.932... | MauriceDonner/CompPhys | 2_Exerc/Blatt2_2.py | Blatt2_2.py | py | 1,050 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.array",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": ... |
31895836162 | from django.db import migrations, transaction
def fix_missing_go_component_type(apps, schema_editor):
"""Set missing go_component_type for container image upstream_go_modules"""
Component = apps.get_model("core", "Component")
# These are always upstreams of a container image
# The first cnode has typ... | RedHatProductSecurity/component-registry | corgi/core/migrations/0068_fix_missing_go_component_type.py | 0068_fix_missing_go_component_type.py | py | 910 | python | en | code | 19 | github-code | 18 | [
{
"api_name": "django.db.transaction.atomic",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.db.transaction",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.Migration",
"line_number": 19,
"usage_type": "attribute"
},
{... |
37689781434 | import hashlib
import logging
from typing import Optional, Union
import github
import gitlab
from ogr.abstract import CommitStatus, GitProject
from ogr.services.gitlab import GitlabProject
from ogr.services.pagure import PagureProject
logger = logging.getLogger(__name__)
class StatusReporter:
def __init__(
... | RaiLokesh/packit-service | packit_service/worker/reporting.py | reporting.py | py | 5,905 | python | en | code | null | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "ogr.abstract.GitProject",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "ogr.service... |
72539959400 |
import tensorflow as tf
from tensorflow import keras
from pixel_based_module import Pixel_Anchor
class BasicBlock(keras.layers.Layer):
def __init__(self, filters, strides=1):
super(BasicBlock, self).__init__()
self.conv1 = keras.layers.Conv2D(filters=filters, kernel_size=(3, 3), strides=strides, p... | fendaq/pixel_anchor | nets/resnet.py | resnet.py | py | 6,267 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "tensorflow.keras.layers",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.keras",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "tensorflow.keras.layers.Conv2D",
"line_number": 9,
"usage_type": "call"
},
{
"api_nam... |
29059933153 | from dotenv import load_dotenv
load_dotenv()
import amphora_client
from amphora_client.rest import ApiException
from amphora_client.configuration import Configuration
import requests
import json
from xml.dom import minidom
from xml.dom.minidom import Document
import xml.etree.ElementTree as ET
import time
import os
d... | maxmills1/EYCIchecker | src/batch_uploads/Cattle_batch_upload.py | Cattle_batch_upload.py | py | 5,271 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_nu... |
17686441094 | from django.shortcuts import render, redirect, get_object_or_404
from django.http import HttpResponse, JsonResponse
from django.contrib.auth import login, authenticate, logout
from django.contrib.auth.decorators import login_required
from django.contrib import messages
from django.contrib.auth.models import User
from d... | WhizzyDoc/mediquiz | quiz/views.py | views.py | py | 6,176 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "forms.RegistrationForm",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "models.Profile",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "actions.utils.create_action",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "dja... |
69955927082 | import typing
from mg_sql.sql_async.model_logic import RawSqlModel, SqlTypeReturn
class TUserVk(typing.TypedDict):
"""Тип для таблицы UsersVk"""
id: int
user_id: int
groups_id: int
sex: int
bdata: int
city: int
cwpm: int
followers: int
relation: int
last_seen: int
time_... | denisxab/VK_skan | vk_scan/model_db.py | model_db.py | py | 2,477 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.TypedDict",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "mg_sql.sql_async.model_logic.RawSqlModel",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "mg_sql.sql_async.model_logic.RawSqlModel",
"line_number": 48,
"usage_type":... |
40105850487 | #Given the sweden country data convert it into a list with dictionaries
# in this form:[ { 'population': 9903122, 'year': 2016}, .... ].
# Make a function out of that.
import json
from pprint import pprint
with open('data/sweden.json')as data_file:
sweden = json.load(data_file)
# pop_dic = {}
# for i in range(0,... | gaonita/my_little_project | hellopink/Review/re_ex6_4-5.py | re_ex6_4-5.py | py | 810 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "json.load",
"line_number": 7,
"usage_type": "call"
}
] |
20086434711 | import gradio as gr
import numpy as np
import cv2 as cv
def backgroundNoiceReduction(image, h, color_components, template_window_size, search_window_size):
result = cv.fastNlMeansDenoisingColored(image, None, h, color_components, template_window_size, search_window_size)
return result
tit = "Backgrou... | MayankShrivastava17/background-noice-reduction | main.py | main.py | py | 1,132 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "cv2.fastNlMeansDenoisingColored",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "gradio.Interface",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "gradio.inputs.Image",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "g... |
27151254512 | import cv2
import matplotlib.pyplot as plt
from .structs import SceneResponse, DetectionResponse, FaceDetectionResponse, FaceRecognitionResponse
from .utils import bytestoCV2
from PIL import Image
import numpy
def saveResponse(image,response,output, output_font=cv2.FONT_HERSHEY_SIMPLEX,output_font_color=(0,146,224), ... | johnolafenwa/DeepStackPython | deepstack_sdk/viz.py | viz.py | py | 2,886 | python | en | code | 30 | github-code | 18 | [
{
"api_name": "cv2.FONT_HERSHEY_SIMPLEX",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "cv2.imwrite",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.FONT_HERSHEY_SIMPLEX",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name":... |
73480650600 | from logging import getLogger
from pyramid.config import Configurator
from pyramid_zodbconn import get_connection
from translationstring import TranslationStringFactory
from .models.appmaker import appmaker
_ = TranslationStringFactory('kedja')
logger = getLogger(__name__)
def root_factory(request):
conn = ge... | kedjaproject/kedja_server | src/kedja/__init__.py | __init__.py | py | 2,046 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "translationstring.TranslationStringFactory",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pyramid_zodbconn.get_connection",
"line_number": 15,
"usage_type": "call"
... |
18211913667 | import requests
from bs4 import BeautifulSoup
NUM_COLUMNS = 4
from typing import List
from CITY_TO_STATE import city_to_state
URL = "https://www.craigslist.org/about/sites"
KEYWORDS = ["multi", "multi%20family", "multi%20unit", "multi-family", "multi-unit", "multifamily", "multiunit"]
UNIT_AMOUNT = [str(i) + " " + "u... | mgauz01/python-real-estate-leads | craiglist_scrapper.py | craiglist_scrapper.py | py | 3,008 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_nu... |
16298153440 | """Furniture Creator's product parts repository."""
from __future__ import annotations
from typing import List, Dict, Union
import re
from operator import itemgetter
from furniturecreator.dataclasses import Part
from furniturecreator.utilities import filter_parts_dict_by_size
class PartRepository:
"""Processes ... | ruudwelten/furniture-creator | furniturecreator/part_repository.py | part_repository.py | py | 3,517 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.Dict",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "furniturecreator.dataclasses.Part",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "re.match",
... |
16762525526 | # -*- coding: utf-8 -*-
import time
import requests
import json
import pandas as pd
import numpy as np
from database_sql import fundDatabase
fund_list_url = "http://fund.eastmoney.com/js/fundcode_search.js"
def fund_list_str2fmt_data(raw_str):
"""
:param raw_str: "var r = [["000001","HXCZHH","华夏成长混合","混合型"... | CS-Zucker/fof99 | data_v-master/fund_list.py | fund_list.py | py | 3,298 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "json.loads",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_numb... |
42621046217 | from collections import deque
import networkx as nx
from itertools import combinations
with open('Day16/input.txt') as file:
lines = [line.strip() for line in file]
V={}
opened_=[]
G = nx.DiGraph()
for line in lines:
words = line.split()
valve = words[1]
flowrate = int(words[4].split('=')[-1][:-1])... | psundstrom/advent-of-code-2022 | Day16/day16.py | day16.py | py | 2,320 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "networkx.DiGraph",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "networkx.shortest_path_length",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "itertools.combinations",
"line_number": 72,
"usage_type": "call"
}
] |
3677803243 | import signal
import os
import cv2 as cv
import numpy as np
from multiprocessing import Queue, Pool
import queue
from setproctitle import setproctitle
import time
import common.settings as settings
from detect.dynamic_track import DynamicTrack
import tensorflow as tf
from detect.frame_stitch import ImageStitch
from det... | qqmecl/Farsight | detect/object_detector.py | object_detector.py | py | 11,726 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.getcwd",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number":... |
43426819659 | import time
from django.test import TestCase
# Create your tests here.
from bs4 import BeautifulSoup
import requests
import csv
mylist = []
import pandas
#
#
def moblie_links( phone_name, count):
url = "https://www.gsmarena.com/results.php3?sQuickSearch=yes&sName=" + phone_name + ""
user_agent = 'Mozilla/5.0... | SiddiqSonic/Tracer | ScraperApi/tests.py | tests.py | py | 4,265 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_nu... |
5566608264 | from astropy.io import fits
def to_rest_frame(filein,z):
data = fits.getdata(filein)
header = fits.getheader(filein,ext=1)
header['CRVAL1'] = header['CRVAL1'] /(1+z)
header['CDELT1'] = header['CDELT1']/(1+z)
fits.writeto(filein.replace('.fits','_restframe.fits'),data,header)
print('Created file %s'%filein.repla... | VeraPatricio/Resolved_Metallicity | Data/P18_spectra/put_spectra_in_rest_frame.py | put_spectra_in_rest_frame.py | py | 462 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "astropy.io.fits.getdata",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "astropy.io.fits",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "astropy.io.fits.getheader",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "astrop... |
19494607812 | import requests
import dateparser
from datetime import datetime
import warnings
from src.modules.hiveModules.hiveModules import hiveModules
warnings.filterwarnings(
"ignore",
message="The localize method is no longer necessary, as this time zone supports the fold attribute",
)
class ransomLeaks... | c4rl0sL0ur31r0/AlertsTheHive | src/feeds/alerts/ransomLeaks.py | ransomLeaks.py | py | 2,313 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "dateparser.parse",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "datetime.datetim... |
13038282322 | import pickle
import matplotlib.pyplot as plt
import numpy as np
from sklearn.linear_model import LinearRegression
from sklearn.metrics import mean_squared_error, r2_score
from sklearn.model_selection import train_test_split
np.random.seed(0)
with open("data/processed.pickle", "rb") as file:
datasets = pickle.loa... | YizhePKU/bandwidth-prediction-lab | main.py | main.py | py | 1,676 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.random.seed",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pickle.load",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line... |
1007935370 | import dataclasses
#/usr/bin/env python
# -*- coding: utf-8 -*-
import os, pathlib, sys,click,logging,string,csv,json,tempfile,re
sys.path.append(os.getcwd())
parent_path = pathlib.Path(__file__).parent.absolute()
sys.path.append(str(parent_path))
master_path = parent_path.parent
sys.path.append(str(master_path))
... | marcusau/ipo_pdfparsing_server | Config/yaml_generator.py | yaml_generator.py | py | 1,135 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.path.append",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number"... |
12450431413 | #!/bin/env python
#coding: utf8
from flask import Flask, render_template, jsonify, request, make_response, send_file
from flask_digest import Stomach
from service import *
CONTENT_PATH='/ryg' #为了保持通过nginx之后uri一致使得Digest鉴权机制成功,需要设置上下文路径,
def create_app():
app = Flask(__name__, static_url_path=CONTENT_PATH)
app.co... | pacopink/ryb_monitor | web/main.py | main.py | py | 1,691 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask_digest.Stomach",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.request.args.get",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "flask.request... |
3569966597 | import logging
import os
from datetime import datetime
dir_path = './sum_dist/logs'
filename = f'{datetime.now().strftime("%Y%m%d-%H%M%S")}.log'
def get_logger(log_name, log_level="INFO"):
if not os.path.exists(f'{dir_path}'):
os.makedirs(f'{dir_path}')
logger = logging.getLogger(log_name)
logger... | IKMLab/UASSU | sum_dist/utils/logging.py | logging.py | py | 891 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "datetime.datetime.now",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "os.path.exists",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"li... |
41230308321 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
CS224N 2019-20: Homework 5
model_embeddings.py: Embeddings for the NMT model
Pencheng Yin <pcyin@cs.cmu.edu>
Sahil Chopra <schopra8@stanford.edu>
Anand Dhoot <anandd@stanford.edu>
Michael Hahn <mhahn2@stanford.edu>
"""
import torch.nn as nn
# Do not change these imp... | anhquan0412/nlp_practice | s5/model_embeddings.py | model_embeddings.py | py | 3,239 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torch.nn.Module",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "torch.nn.Embedding",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line... |
71426478440 | # https://docs.python.org/3.6/library/filecmp.html
# https://docs.python.org/3/library/pathlib.html
import filecmp
xyz_folders = map(str, range(1, 2400))
xyz_files = [folder+"/geometry.xyz" for folder in xyz_folders]
match, mismatch, errors = filecmp.cmpfiles("../input/train", "../input/train",
... | aorursy/new-nb-3 | engant_compare-xyz-files-with-filecmp-pathlib-modules.py | engant_compare-xyz-files-with-filecmp-pathlib-modules.py | py | 1,468 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "filecmp.cmpfiles",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "filecmp.cmp",
"line_number": 27,
"usage_type": "call"
}
] |
86270516315 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# @Time : 2021/9/9 11:05
# @Author :
# @File : modelTest.py
# @Function:
import warnings
warnings.filterwarnings("ignore")
import argparse
import random
import numpy as np
import torch
from torch import cuda
from transformers import AutoModel, AutoTokeni... | WOW5678/attentionGuiding | test/mednli_test.py | mednli_test.py | py | 4,252 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "torch.cuda.is_av... |
36244164505 | import datasets
import numpy as np
import pandas as pd
import torch
from torch.utils.data.dataset import Dataset
from tqdm import tqdm
class JigsawData(Dataset):
"""Base dataloader for the Jigsaw Toxic Comment Classification Challenges."""
def __init__(self, train_csv_file, test_csv_file, train=True, add_tes... | unitaryai/detoxify | src/data_loaders.py | data_loaders.py | py | 7,841 | python | en | code | 755 | github-code | 18 | [
{
"api_name": "torch.utils.data.dataset.Dataset",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "datasets.Dataset.from_pandas",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datasets.Dataset",
"line_number": 15,
"usage_type": "attribute"
},
{
... |
11062294474 | import dbus
from dbus.mainloop.glib import DBusGMainLoop
from .localwhiteboard import LocalWhiteboard
from .remotewhiteboard import RemoteWhiteboard
AVAHI_DBUS_NAME = 'org.freedesktop.Avahi'
AVAHI_INTERFACE_UNSPEC = -1
AVAHI_PROTOCOL_UNSPEC = -1
class Whiteboards(object):
def __init__(self, whiteboard_type, por... | niligulmohar/whiteboard | whiteboard/whiteboards.py | whiteboards.py | py | 6,123 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "dbus.mainloop.glib.DBusGMainLoop",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "dbus.SystemBus",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "dbus.Interface",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "dbus.U... |
25109471708 | from utils.data import Data
tiff_filename = "./Data/Images/"
shp_filename = "./Data/Labels/"
data = Data(tiff_filename, shp_filename)
tiff = data.read_tiff()
mask = data.get_mask()
X,y = data.get_Xy(tiff, mask, n_sample = 2000000)
X_train, X_test, y_train, y_test = data.train_test_split(X, y)
| Aryal007/ml_satellite_image_segmentation | generate_data.py | generate_data.py | py | 296 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "utils.data.Data",
"line_number": 5,
"usage_type": "call"
}
] |
23279058519 | # -*- coding: utf-8 -*-
import datetime
from django.contrib.sites.models import Site
from django.utils import lorem_ipsum
from django.core import mail
from django.core.management import call_command
from django.core.urlresolvers import reverse
from hashlib import sha1 as sha_constructor
from django.utils.translation i... | dwebdevcore/BoardDirector_dashboard | apps/registration/tests.py | tests.py | py | 10,181 | python | en | code | 8 | github-code | 18 | [
{
"api_name": "django.utils.lorem_ipsum.words",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "django.utils.lorem_ipsum",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "django.utils.lorem_ipsum.words",
"line_number": 23,
"usage_type": "call"
},
{... |
27795477230 | # -*- coding: utf-8 -*-
from openerp import tools
from openerp.osv import fields, osv
from datetime import datetime
from openerp.tools import DEFAULT_SERVER_DATETIME_FORMAT
from openerp.tools.translate import _
class give_k(osv.osv):
_name = 'give.k'
_description = 'Tang K'
_columns = {
'name'... | sonhh2412/mua5k | backend/custom/odoo_general/partner/give_k.py | give_k.py | py | 5,496 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "openerp.osv.osv.osv",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "openerp.osv.osv",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "openerp.osv.fields.char",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "opener... |
30024438036 | # -*- coding: utf-8 -*-
"""
Created on Fri Jun 2 13:30:55 2023
@author: jksls
"""
import pandas as pd
import numpy as np
import matplotlib.pyplot as mpl
mpl.style.use('fivethirtyeight')
df = pd.read_csv('dataset/new_cars_prices.csv')
df.dropna(axis=0 , how='any' , inplace = True)
p_old = np.array(df['Old Price... | failking16/Analytics | Car-market/car_pricing.py | car_pricing.py | py | 1,593 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "matplotlib.pyplot.style.use",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.style",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 12,
"usage_type": "name"
},
{
"api_na... |
2590820049 | #!/usr/bin/env python3s
import time
import datetime
from plyer import notification
first_Time = True
if __name__ == '__main__':
while(True):
if first_Time:
print('\007')
notification.notify(
title = 'Hello Dear, have a nice day!',
message = 'Break a... | wloszynski/mini-break-reminder | break_reminder.py | break_reminder.py | py | 1,253 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "plyer.notification.notify",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "plyer.notification",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "da... |
72149357481 | from pathlib import Path
import torch
from torch import nn
from PIL import Image
from torchvision import transforms
import argparse
from csv import writer
from tqdm import tqdm
def create_pretrain_model():
"""
Create a pretrained model for ELO image classification. Base on the squeezenet architecture.
:re... | lerouxl/ELO-images-classification | predicte.py | predicte.py | py | 4,264 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torch.hub.load",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.hub",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_nu... |
342130616 | import torch
from PIL import Image
import numpy as np
import matplotlib.pyplot as plt
import torchvision
from torch.nn.functional import conv2d
import cv2
import os
from pathlib import Path
PATH = r"C:\Users\daniel\Desktop\Filtri\gatto.jpg"
def load_image(infilename):
"""This function loads an image into memory ... | ProjectoOfficial/AI_Python | IMAGING PROCESSING/FILTERS/FILTERS.py | FILTERS.py | py | 5,512 | python | en | code | 7 | github-code | 18 | [
{
"api_name": "PIL.Image.open",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "torchvision.transforms.Grayscale",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torchvision... |
40855241524 | from kafka import KafkaConsumer
import json
import dash
from dash.dependencies import Output, Input
from dash import dcc
from dash import html
import plotly
import plotly.graph_objs as go
## SPEED VISUALISATION
# topic names
hrv_topic = 'hrv_with_level_bpm_s'
speed_topic = 'gps_for_vis_s'
# set topic to read from
to... | rainscent9/biathlon_live_data_processing | kafka_visualisation_speed.py | kafka_visualisation_speed.py | py | 2,301 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "kafka.KafkaConsumer",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "dash.Dash",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "dash.html.Div",
"line_nu... |
3428235875 | import sqlite3
class Data:
def __init__(self, name):
self.conn = sqlite3.connect('name.db')
self.cursor = self.conn.cursor()
self.cursor.execute('''CREATE TABLE IF NOT EXISTS tab_1 (id INTEGER PRIMARY KEY AUTOINCREMENT, col_1 INTEGER)''')
def process_arguments(self, *args):
if ... | alinka001/hm | task_db.py | task_db.py | py | 1,788 | python | ru | code | 0 | github-code | 18 | [
{
"api_name": "sqlite3.connect",
"line_number": 5,
"usage_type": "call"
}
] |
7158281263 | from ..data_utils import cal_knn
from ..data_utils import sparse_voxel
import numpy as np
class KnnQuery(object):
def __init__(self, points, knn_module, set_k, GPU_id=None):
knn_module = getattr(cal_knn, knn_module) # importlib.import_module('.'.join(['cal_knn', self.knn_module]))
self.knn_search... | shinke-li/Campus3D | dataset/sampling/qurey.py | qurey.py | py | 3,151 | python | en | code | 38 | github-code | 18 | [
{
"api_name": "data_utils.cal_knn",
"line_number": 8,
"usage_type": "argument"
},
{
"api_name": "numpy.expand_dims",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "data_utils.sparse_voxel.SparseVoxel",
"line_number": 20,
"usage_type": "call"
},
{
"api_n... |
71991087080 | import PyPDF2
import re
pdfFile = "sdge_bill.pdf"
pdfRead = PyPDF2.PdfFileReader(pdfFile)
page = pdfRead.getPage(2)
pageContent = page.extractText()
# print(pageContent[0:1000])
for i in range(0, pdfRead.getNumPages()):
if "Electric" in pdfRead.getPage(i).extractText()[:1000]:
print("works")
break
else:
print... | christianbarrera/Data-Analytics | Python Files/pdf_parser.py | pdf_parser.py | py | 827 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "PyPDF2.PdfFileReader",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 23,
"usage_type": "call"
}
] |
25684817150 | import matplotlib.pyplot as plt
from scipy.stats import zscore
from loadData import *
import random
def createNoise(array, noise):
noisyarray = []
for index in array:
noisyarray.append(index + random.uniform(-noise, noise))
return noisyarray
# Sex
plt.hist(X[:,0:1], bins=np.arange(0,3)-0.5, edg... | lizator/02450Project | Statistics.py | Statistics.py | py | 2,741 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "random.uniform",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.hist",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "matplotlib.py... |
732503414 | import numpy as np
import matplotlib.pyplot as plt
from scipy import ndimage,signal
from operator import itemgetter
import cv2
#Computes the C matrix - [[Eex,Eexy],[Eexy],[Eey]]
#Takes in the gradient matrices ex (x gradient squared), ey (y gradient squared), exey (product of x and y gradients),
# location to ... | ashrith1516/ImageVideoProcessing | Corner_Detection/corner_detection.py | corner_detection.py | py | 4,106 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "operator.itemgetter",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.gray",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 71,
"usage_type": "name"
},
{
"api_name": "matplotl... |
74479324520 | import logging.config
import asyncio
import asyncio.subprocess
import datetime
import logging
from collections import OrderedDict, defaultdict
from typing import Any, Awaitable, Dict, List, Optional, Union # noqa
from urllib.parse import urlparse
from aiohttp import web
import yacron.version
from yacron.config import ... | gjcarneiro/yacron | yacron/cron.py | cron.py | py | 17,908 | python | en | code | 426 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "typing.Optional",
"line_number": 45,
"usage_type": "name"
},
{
"api_name": "datetime.tzinfo"... |
32305493571 | import threading
from datetime import timedelta
from django.utils import timezone
from django.core.management.base import BaseCommand, CommandError
from django.db.utils import ProgrammingError
from buckets.utils import BucketFileManagement, delete_table_for_model_class
from buckets.models import Archive
from... | 25280841/iharbor | apps/buckets/management/commands/clearbucket.py | clearbucket.py | py | 9,002 | python | en | code | null | github-code | 18 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "threading.Semaphore",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "django.core.management.base.CommandError",
"line_number": 56,
"usage_type": "... |
3704805629 | # -*- coding: utf-8 -*-
from django import forms
from django import template
from models import ContactPage
from djangular.forms import NgFormValidationMixin, NgModelFormMixin
from property.models import Property,Borough,Neighborhood
register = template.Library()
#from uni_form.helper import FormHelper
class Contac... | dmitryro/zrealtycorp.com | pages/forms.py | forms.py | py | 2,630 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "django.template.Library",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "djangular.forms.NgFormValidationMixin",
"line_number": 17,
"usage_type": "name"
},
{
"api_n... |
71387079081 | from django.db import models
from django.utils.translation import ugettext as _
from Apps.Asset.Property_asset.models import *
from Apps.Hrm.Master_General.models import Department
from Apps.Asset.Master.models import *
from Apps.Asset.Request.models import *
from datetime import datetime
from tinymce.models import HTM... | cornelioroyer/ERPProject | Apps/Asset/Pengadaan/models.py | models.py | py | 3,791 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "django.db.models.Model",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 11,
"usage_type": "call"
},
{
"api_name"... |
27348824153 |
import urllib.request
import json
class JamendoUtil:
def __init__(self, client_id, base_url):
if not client_id:
raise Exception("You must provide a client_id setting")
self.client_id = client_id
self.base_url = base_url
def _createUrlParameters(self, **... | douze12/jamendo_sync | jamendoApi/__init__.py | __init__.py | py | 2,976 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "urllib.request.parse.urlencode",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "urllib.request.parse",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "urllib.request",
"line_number": 22,
"usage_type": "name"
},
{
"api_name"... |
23549244978 | from __future__ import annotations
from abc import ABC, abstractmethod
from typing import List, Tuple
from argparse import ArgumentParser
from rstcloth import RstCloth
import os
from io import StringIO
from ..east import EnrichedAST
from ..astline import ASTLine
class Component(ABC):
"""
Abstract class repre... | owrel/clindoc | clindoc/builder/component.py | component.py | py | 6,851 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "abc.ABC",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "io.StringIO",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "rstcloth.RstCloth",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"... |
29934920143 | # This script is used to compare precip extreme difference bewteen vrcesm and CORDEX-SEA
# Several steps are inplemented:
# S1-read precip data from vrcesm and CORDEX-SEA
# S2-calculate extreme
# S3-plot contour
#
# Written by Harry Li
# import libraries
import pathmagic # noqa: F401
from modules.stats.mod_stats_extr... | harryliyi/ClimateScience | SEA_vrcesm/extremes/vrcesm_prect_extreme_stats_mainSEA_vs_cordex_references.py | vrcesm_prect_extreme_stats_mainSEA_vs_cordex_references.py | py | 33,044 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "matplotlib.pyplot.switch_backend",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "numpy.... |
71074654761 | from abc import abstractmethod
from django.conf import settings
from django.db import models
from django.urls import reverse
from mdeditor.fields import MDTextField
from uuslug import slugify
# Create your models here.
class BaseModel(models.Model):
id = models.AutoField(primary_key=True)
created_time = mode... | libaibuaidufu/django-blog | blog/models.py | models.py | py | 7,300 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.db.models.Model",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "django.db.models.AutoField",
"line_number": 12,
"usage_type": "call"
},
{
"api_name"... |
9170923119 | import functools
import threading
import time
import sys
def calc_time(func):
@functools.wraps(func)
def wrapper(*args, **kwargs):
start = time.time()
result = func(*args, **kwargs)
finish = time.time()
print(f'elapsed time: {finish-start}')
return result
return wra... | wararaki718/scrapbox | sample_py/sample_mulit/thread.py | thread.py | py | 869 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "time.time",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "functools.wraps",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_numbe... |
19929209761 | from PIL import Image, ImageOps
import numpy as np
from matplotlib import pylab as plt
for k in range(10000):
img = np.array(Image.open('./image/depth_logarithmic_gray/' + str(k+3000) + '.jpg').convert('I'), 'float32')
def calc_double(n):
return n + 40
img2 = list(map(calc_double, img))
for ... | yumon6/DeMoN_carla | datasets/change_pix.py | change_pix.py | py | 534 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.array",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "numpy.save",
"line_number": 18,... |
3998263014 | import argparse
import sys
# We need to import pywrap_tensorflow prior to the toco wrapper.
# pylint: disable=invalid-import-order,g-bad-import-order
from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import
from tensorflow.python import _pywrap_toco_api
from absl import app
FLAGS = None
def ... | tensorflow/tensorflow | tensorflow/lite/toco/python/toco_from_protos.py | toco_from_protos.py | py | 2,306 | python | en | code | 178,918 | github-code | 18 | [
{
"api_name": "tensorflow.python._pywrap_toco_api.TocoConvert",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "tensorflow.python._pywrap_toco_api",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "sys.exit",
"line_number": 39,
"usage_type": "call"
},... |
21725274249 | from pymongo import MongoClient
HOST = "localhost"
PORT = 2222
client = MongoClient(HOST, PORT)
db = client['BouncerEventsDB']
evtColl = db['eventCollection']
def insertItem(item):
ts = item.pop('time_stamp')
found = evtColl.find_one(item)
if not found:
item['time_stamp'] = ts
found = ite... | arctiveio/lyceum | mDB.py | mDB.py | py | 1,499 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 6,
"usage_type": "call"
}
] |
15783914291 | import sys
import math
import torch
from torch import nn
from torch.nn import functional as F
from torch.nn.parameter import Parameter
from torchvision import models
#from efficientnet_pytorch import EfficientNet
import sys
sys.path.append("../input/pretrained-models/pretrained-models/pretrained-models.pytorch-master/... | okotaku/kaggle_Severstal | severstal-src/cls_models.py | cls_models.py | py | 10,843 | python | en | code | 16 | github-code | 18 | [
{
"api_name": "sys.path.append",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Module",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"li... |
7739307885 | from django.conf.urls import url, include, patterns
from freight.views import *
from freight.models import *
app_name = 'freight'
urlpatterns = [
# ex: /freight/
url(r'^$', index, name='index'),
# ex: /freight/5
url(r'^(?P<carrier_id>[0-9]+)/$', carrier_detail, name='carrier_detail'),
# ex: /freigh... | EttelasK/Freight_RateMatrix | freight/urls.py | urls.py | py | 561 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "django.conf.urls.url",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.... |
74728987561 | import torch
import settingsModule
from settingsModule import Settings, np, random
from population import Population
# Parent of all algorithms
class Algorithm:
iteration_num: int
settings: Settings
def __init__(self, settings: Settings):
self.settings = settings
self.iteration_num = 0
def iterate(self) -> ... | ItaiSchwed/mnist_optimisation_project | algorithms.py | algorithms.py | py | 9,585 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "settingsModule.Settings",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "settingsModule.Settings",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "settingsModule.np.array",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_... |
70297009641 | '''
UPI: HCAM630
NAME: HEATH LOGAN CAMPBELL
'''
import sys
from functools import cmp_to_key
from datetime import datetime
def distX(a, b):
return a[0] - b[0]
def distY(a, b):
return a[1] - b[1]
def dist(a, b):
return distX(a, b) * distX(a, b) + distY(a, b) * distY(a, b)
'''
takes a min point
'''
def min(a... | HeathLoganCampbell/UoA-CS-320 | AssignmentTwo/v1.py | v1.py | py | 2,791 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "sys.maxsize",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "sys.stdin.readline",
"line_number": 104,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 104,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetim... |
14112622762 | import json
import sys
sys.path.append('../src')
import uuid
import unittest
import yaml
import requests
import os
from pprint import pprint as pp
import aws_lambda_logging
import logging
logger = logging.getLogger()
loglevel = "INFO"
logging.basicConfig(level=logging.ERROR)
Branch = "Prod"
Host = os.environ.get('P... | SungardAS/aws-services-porper | test/test_api.py | test_api.py | py | 4,422 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.path.append",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
... |
36927002343 | # -*- coding: UTF-8 -*-
from dnslib import *
import gevent
from gevent.server import DatagramServer
from gevent import socket
from random import randint
from time import sleep
always_respond_ip = '1.2.3.4'
class DNSServer(DatagramServer):
def handle_dns_request(self, data, address):
req = DNSRecord.pa... | zphw/dns-cache-poisoning-demo | upstream_dns/dns.py | dns.py | py | 883 | python | en | code | 9 | github-code | 18 | [
{
"api_name": "gevent.server.DatagramServer",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 25,
"usage_type": "call"
}
] |
9658410380 | import pygame
class print_screen(): # kwadrat 50 pix , 10x14
def main(tab_main,WIDTH,HEIGHT,screen,BORDER_MAIN,square,tab_moving):
w=0.625*WIDTH # 500
h=20*square
start_x=WIDTH//20
start_y=HEIGHT//100
pygame.draw.rect(screen,(50, 168, 82),(WIDTH//20-BORDER_MAIN,HEIGH... | TommyFurgi/Pygame-projects | tetris/tertis_layout.py | tertis_layout.py | py | 3,829 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pygame.draw.rect",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pygame.draw",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pygame.draw.rect",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pygame.draw",
"l... |
31240137904 | from PIL import Image
ALPHA = {(255, 255, 0, 255), (255, 255, 0)}
PALETTE_MAP = {
(1, 1, 1, 255): 1,
(62, 184, 73, 255): 2,
(116, 208, 125, 255): 3,
(89, 85, 224, 255): 4,
(128, 118, 241, 255): 5,
(185, 94, 81, 255): 6,
(101, 219, 239, 255): 7,
(219, 101, 89, 255): 8,
(255, 137, ... | blihblah/jaassa | python/gfxconvert.py | gfxconvert.py | py | 6,199 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "PIL.Image.open",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 61,
"usage_type": "name"
}
] |
21571704934 | #!/usr/bin/env python
from __future__ import print_function
import os
import cgi
from subprocess import Popen, PIPE, STDOUT
# # Haskell
SCRIPTDIR = 'haskell'
# To run NON compiled code
# SCRIPT = ['/usr/bin/runhaskell', 'Shrdlite.hs']
# Run compiled code with garbage collection off
# compile with this command: ... | alexandersjosten/AI-shrdlite | cgi-bin/ajaxwrapper.py | ajaxwrapper.py | py | 934 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "os.path.isdir",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
43242344763 | #!/usr/bin/python
# -*- coding: UTF-8 -*-
import StringIO
import sqlite3
import urllib
import pycurl
import re
import sys
reload(sys)
sys.setdefaultencoding('utf-8')
# 读tocken文件获取用户Tocken
token_file = open('tocken')
try:
my_token = token_file.read().strip()
finally:
token_file.close()
# 组合 API URL
pinurl = 'https://... | lesishu/pin_products | pin.py | pin.py | py | 1,898 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "sys.setdefaultencoding",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "StringIO.StringIO",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pycurl.Curl",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pycurl.URL",
... |
29617247286 | from PyQt5 import QtWidgets, uic, QtGui, QtCore
from PyQt5.QtCore import QSettings
from settingsWindow import Ui_SettingsWindow
from userProfile import SETTINGS_DEFAULT, SETTINGS_CUSTOM, SHORTCUTS_DEFAULT, SHORTCUTS_CUSTOM
def themeLoader(self): #function that settings current theme
if self.theme == '':
t... | karazhyn/dark-translate | python/module.py | module.py | py | 8,911 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "PyQt5.QtGui.QIcon",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtGui",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtGui.QPixmap",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtGui",
"... |
19349269799 | import bracketology.brackets as bracketology
import re
import random
from collections import defaultdict
# Patch
bracketology.brackets_dict.clear()
bracketology.brackets_dict.update({
"2023": {
"Finals": {
"game1": {
"team1": "south",
"team2": "east",
... | iannightingale/cup-madness | src/bracket.py | bracket.py | py | 2,468 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "bracketology.brackets.brackets_dict.clear",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "bracketology.brackets.brackets_dict",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "bracketology.brackets",
"line_number": 7,
"usage_type": ... |
21359840440 | # insert insert this code into Default (Windows).sublime-keymap:
# [
# { "keys": ["f5"], "command": "build_current_code" },
# ]
import time
import sublime
import sublime_plugin
import os
from inspect import getmembers
from pprint import pprint
import re
import shutil
import uuid
from datetime import datetime
# { ... | bugayov/PrivateBuilder-sublimePlugin | PrivateBuilder.py | PrivateBuilder.py | py | 10,020 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sublime_plugin.TextCommand",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "sublime.active_window",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path.basename",
"line_number": 37,
"usage_type": "call"
},
{
"api_name":... |
13717784470 | import math, random
import gym
import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
import torch.autograd as autograd
import torch.nn.functional as F
import matplotlib.pyplot as plt
#from common.layers import NoisyLinear
from common.replay_buffer import ReplayBuffer
from torch.utils.t... | PacktPublishing/Hands-On-Reinforcement-Learning-for-Games | Chapter10/Chapter_10/Chapter_10_QRDQN.py | Chapter_10_QRDQN.py | py | 5,905 | python | en | code | 54 | github-code | 18 | [
{
"api_name": "gym.make",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torch.utils.tensorboard.SummaryWriter",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "torch.nn.Module",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "t... |
44813775680 | """Day 8"""
from typing import Set
from aoc.shared import read_file_lines
from aoc.shared.input import read_file_lines
segment_count_map = {
0: [],
1: [],
2: [1],
3: [7],
4: [4],
5: [2, 3, 5],
6: [0, 6, 9],
7: [8],
}
def part1() -> int:
"""Part 1."""
raw_notes = read_file_li... | dalemyers/Advent-of-Code | aoc/year_2021/day_08.py | day_08.py | py | 5,991 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "aoc.shared.input.read_file_lines",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "typing.Set",
"line_number": 47,
"usage_type": "name"
},
{
"api_name": "aoc.shared.input.read_file_lines",
"line_number": 202,
"usage_type": "call"
}
] |
43645731857 | __version__ = '1.1.0'
# Action log Mon Feb 13 11:37:29 2023
# Macro name: Syn/Ves Mesh Pairing with Measures 04-24-2023 19:28
# ********** BEGIN MACRO ********** #
"""
:name: Syn/Ves Mesh Pairing with Measures 04-24-2023 19:28
:execution: execute
"""
### Import
# Science Stack
import numpy as np
import pandas as p... | mpfi-dsp/Syn2Ves-User | workflows/meshPairing.py | meshPairing.py | py | 11,262 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "time.time",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtCore.pyqtSignal",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "pandas.DataFr... |
8341413375 | from datetime import datetime, timedelta
import os
from airflow import DAG
from airflow.operators.dummy_operator import DummyOperator
from airflow.operators.python_operator import PythonOperator
from helpers import SqlQueries
from crawlers.angel_co import main as angel_co_scraper
from crawlers.angel_co_parser import ma... | sparsh-ai/recohut | docs/12-capstones/other/us-job-vacancies/airflow/dags/angel_co_jobs_dag.py | angel_co_jobs_dag.py | py | 1,368 | python | en | code | 91 | github-code | 18 | [
{
"api_name": "datetime.datetime",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "airflow.DAG",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "airflow.operators.py... |
11954699384 | import logging
import torch
from nni.nas.pytorch.base_mutator import BaseMutator
logger = logging.getLogger(__name__)
class Mutator(BaseMutator):
def __init__(self, model):
super().__init__(model)
self._cache = dict()
def sample_search(self):
"""
Override to implement this... | niuxinzan/microsoft-nni | src/sdk/pynni/nni/nas/pytorch/mutator.py | mutator.py | py | 5,014 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "nni.nas.pytorch.base_mutator.BaseMutator",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "torch.cat",
"line_number": 128,
"usage_type": "call"
}
] |
21986201648 | # -*- coding: utf-8 -*-
from PyQt5 import QtCore, QtGui, QtWidgets
from PyQt5.QtWidgets import QPushButton, QMessageBox
from PyPDF2 import PdfFileWriter, PdfFileReader, PdfFileMerger, PageObject
import os
import platform
import subprocess
class Ui_CuadPy(object):
def setupUi(self, CuadPy):
CuadPy... | rbn13/CuadPy | main.py | main.py | py | 11,976 | python | es | code | 0 | github-code | 18 | [
{
"api_name": "PyQt5.QtWidgets.QLabel",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.QRect",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtCor... |
10146901021 | import pandas as pd
import matplotlib.pyplot as plt
from DataReader import data
from sklearn.preprocessing import StandardScaler
from sklearn.decomposition import PCA
from targetEncoding import numD, cat
#traemos las variables categoricas con los nuevos valores numericos
numData = pd.DataFrame(numD)
for i in cat:
... | wleopach/DS_Challenge | 2dVisual.py | 2dVisual.py | py | 1,509 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.DataFrame",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "targetEncoding.numD",
"line_number": 9,
"usage_type": "argument"
},
{
"api_name": "targetEncoding.cat",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "DataReader.... |
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