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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
74366377918 | """Helper functions/classes related to dates/datetimes."""
import datetime as dt
import re
from typing import List
from dateutil.parser import parse as dateutil_parse
from .types import DateLike, assert_never
def parse_date(date: DateLike) -> dt.date:
"""Parses a date string.
Args:
date: The date ... | bbugyi200/python-lib | src/bugyi/lib/dates.py | dates.py | py | 2,018 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "types.DateLike",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "re.match",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "datetime.date.today",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line... |
6395714393 | from django.shortcuts import render
from django.http import HttpResponse
from scripts.data_handler import data_handler
from collections import OrderedDict
import json
# Create your views here.
def index(request):
healthy_levels = data_handler.read_healthy_levels()
healthy_temperature = healthy_levels['temperature']
... | colestrine/NYSG | UI/greenhouse/dashboard/views.py | views.py | py | 3,886 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "scripts.data_handler.data_handler.read_healthy_levels",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "scripts.data_handler.data_handler",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "scripts.data_handler.data_handler.get_available_temperature... |
15464379582 | #!/usr/bin/env python
# coding: utf-8
# # THE COVID-19 PROJECT #
# In[1]:
import pandas as pd
import numpy
import matplotlib.pyplot as plt
import seaborn as sns
import warnings
warnings.filterwarnings("ignore")
# In[2]:
#To read cs... | crajfighter/AWP | AWP.Project (1) (3).py | AWP.Project (1) (3).py | py | 3,119 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "seaborn.heatmap",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "matplotlib.py... |
19872891462 | from SSINS import SS
from SSINS import Catalog_Plot as cp
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('obs')
parser.add_argument('inpath')
parser.add_argument('outpath')
args = parser.parse_args()
read_kwargs = {'ant_str': 'cross',
'file_type': 'uvfits'}
MF_kwargs = {'sig_th... | mwilensky768/MJW-MWA | AWS_Shell_Scripts/Diffuse_Survey/Diffuse_Catalog.py | Diffuse_Catalog.py | py | 696 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "SSINS.SS",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "SSINS.Catalog_Plot.MF_plot",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "SSINS.Cata... |
72399208958 | import os
import pandas as pd
import numpy as np
import pyarrow
import glob
import geopandas as gpd
import multiprocessing
import timeit
import ogr
import gdal
import shutil
from matplotlib import pyplot
import matplotlib.pyplot as plt
import haversine as hs # this is for distance calculation between two points (pip i... | FRahmani368/dam | Reservoirs.py | Reservoirs.py | py | 9,091 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "src.createOutput.outputDir",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "geopandas.read_file",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "pandas.read_feather",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "ge... |
73434250558 | # ---
# jupyter:
# jupytext:
# formats: ipynb,py:percent
# text_representation:
# extension: .py
# format_name: percent
# format_version: '1.3'
# jupytext_version: 1.14.0
# kernelspec:
# display_name: Python 3 (ipykernel)
# language: python
# name: python3
# ---
# %% [ma... | yzerlaut/old_physion | notebooks/scripts/Orientation-Direction-Selectivity.sync.py | Orientation-Direction-Selectivity.sync.py | py | 6,728 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.path.join",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "os.path.expanduser",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"l... |
13710494200 | import joblib
import json
import re
import numpy as np
NON_WORD_CHAR = re.compile(r'[-|——|,|.|:|@|#|!|$|%|^|&|*|，|、|；|-|+|~|`|⋯⋯|。|/|｜|】|【|」|》|>|<|《|;|；|：|」|"|\'|／|「|}|{|,]')
def word2features(sent, i, embeddings):
word = sent[i]
features = {
'bias': 1.0,
'word.lower()': word.lower(),
... | currentslab/extractnet | extractnet/sequence_tagger/models.py | models.py | py | 3,458 | python | en | code | 115 | github-code | 97 | [
{
"api_name": "re.compile",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "joblib.load",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "joblib.load",
"line_number": 63,
"usage_type": "call"
}
] |
24479051092 | # Resolve.py
"""
We consider a normal order ramified on snc but no secondary ramification. We
blow up repeatedly at nodes recording the log discrepancy and
b-discrepancy until we have all possible negative discrepancy curves.
The exceptional curves should probably be indexed by dyadic fractions, written
as bina... | ColinIngalls/terminal-resolutions | Resolve.py | Resolve.py | py | 3,514 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "fractions.Fraction",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "fractions.Fraction",
"line_number": 76,
"usage_type": "call"
}
] |
3238574366 | # coding: utf-8
# データセットを作る ver1
import os
import numpy as np
import glob
from PIL import Image
class MakeData(object):
def __init__(self, gpuID):
self.gpuID = gpuID
# 動画フォルダのパスをシャッフル，行動ごとにラベル付け
def makePath(self, path, ratio):
dirs = sorted(os.listdir(path))
pa... | takumukat/Chainer | CRNN/makeData.py | makeData.py | py | 8,579 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.listdir",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.int32",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": ... |
29398418143 | import os.path
from subprocess import PIPE, Popen
from netaddr import IPNetwork
from spiderfoot import SpiderFootEvent, SpiderFootPlugin
class sfp_tool_nmap(SpiderFootPlugin):
meta = {
'name': "Tool - Nmap",
'summary': "Identify what Operating System might be used.",
'flags': ["tool", "... | smicallef/spiderfoot | modules/sfp_tool_nmap.py | sfp_tool_nmap.py | py | 6,845 | python | en | code | 10,704 | github-code | 97 | [
{
"api_name": "spiderfoot.SpiderFootPlugin",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "netaddr.IPNetwork",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "netaddr.IPNetwork",
"line_number": 98,
"usage_type": "call"
},
{
"api_name": "os.pat... |
24482986481 | from gc import get_objects
from django.http import HttpResponse
from django.shortcuts import render, get_object_or_404
from django.core.paginator import Paginator,InvalidPage,EmptyPage
# Create your views here.
from .models import category, product
def allProdCat(request,c_slug=None):
c_page=None
products=N... | mathewjoseph2811/mathew | ecommerce/app1/views.py | views.py | py | 1,124 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.shortcuts.get_object_or_404",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "models.category",
"line_number": 16,
"usage_type": "argument"
},
{
"api_name": "models.product.objects.all",
"line_number": 17,
"usage_type": "call"
},
{
... |
8358680017 | import os
import re
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
from webdriver_manager.chrome import ChromeDriverManager
import datetime, json
from dateutil.tz import tzutc
from urllib.parse import urlparse, parse_qs, parse_qsl, urlencode, u... | hjjju/createQrCode | test4.py | test4.py | py | 1,823 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "webdriver_manager.chrome.ChromeDriverManager",
"line_number": 13,
"usage_type": "call"
},
... |
109079402 | import numpy as np
import matplotlib.pyplot as plt
import matplotlib.cm as cm
from scipy.ndimage.filters import gaussian_filter
"""
Note: this script has been edited since the blog post to try to improve the
heat map / test different levels of smoothing.
"""
def myplot(x, y, s, bins=1000):
heatmap, xedges, y... | angelowilliams/reddit-user-politics | generateHeatmap.py | generateHeatmap.py | py | 1,064 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "numpy.histogram2d",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "scipy.ndimage.filters.gaussian_filter",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 20,
"usage_type": "call"
},
{
... |
1517310618 | from tabula import read_pdf
from tabulate import tabulate
import pandas as pd
df = read_pdf("C:\\Users\\jayzo\\Downloads\\llm_sample_dataset.pdf", pages='1')
df = df[0]
x = list(df.columns)
new_row = pd.DataFrame({'applicant_id': x[0], 'application_date': x[1], 'age': x[2],
'cibil_score': x[3... | jayzobalia/WitAI_Interface_Think360 | tools/OCR.py | OCR.py | py | 4,099 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "tabula.read_pdf",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"line_number": 17,
"usage_type": "call"
}
] |
30522141433 | import win32com.client
import re
import keyboard
import os
import cv2
import time
import random
import numpy as np
import json
from PIL import ImageGrab
import threading
import codecs
keyboard.add_hotkey('end',os._exit,(0,))
player_list = {'台男':'白虎','明女':'阎王'}
dm = win32com.client.Dispatch('dm.dmsoft')
monster_inf... | zhh9211/g_tools | 单角色挂机/单角色挂机.py | 单角色挂机.py | py | 25,687 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "keyboard.add_hotkey",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os._exit",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "win32com.client.client.Dispatch",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "win... |
30625808606 | import cv2 as cv
import numpy as np
lower_red = np.array([0, 150, 150])
upper_red = np.array([10, 255, 255])
# Capturing webcam footage
webcam_video = cv.VideoCapture(0)
while True:
success, video = webcam_video.read()
img = cv.cvtColor(video, cv.COLOR_BGR2HSV)
mask = cv.inRange(img, lower_red, upper_... | mubinui/OpenCVDetailed | RedBallDetection01.py | RedBallDetection01.py | py | 871 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "numpy.array",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number... |
3532658584 | from .models import *
import json
from django.core.exceptions import PermissionDenied
import requests
import os
import base64
import urllib
from .models import OAuthCache
import random
from django.utils import timezone
from django.conf import settings
module_path = os.path.dirname(__file__)
REDIRECT_URI = settings.MY... | venkatesh-sivaraman/fireroad-server | common/oauth_client.py | oauth_client.py | py | 4,211 | python | en | code | 13 | github-code | 97 | [
{
"api_name": "os.path.dirname",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings.MY_BASE_URL",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "dj... |
3290927110 | from quopri import decodestring
from .requests import PostRequests, GetRequests
class PageNotFound404:
def __call__(self, request):
return "404 WHAT", "404 PAGE Not Found"
class Framework:
def __init__(self, routes_obj, fronts_obj):
self.routes_lst = routes_obj
self.fronts_lst = fro... | visor517/GB_architecture | archer_framework/main.py | main.py | py | 2,110 | python | ru | code | 0 | github-code | 97 | [
{
"api_name": "requests.GetRequests",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "requests.PostRequests",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "quopri.decodestring",
"line_number": 60,
"usage_type": "call"
}
] |
74700298879 | import re
import random
import copy
import logging
import json
from typing import List, Any
#FROM SIX PAPER:
#try??
#set the (?P<room>kitchen|hall|bedroom) lights to (?P<color>blue|yellow|red)
class _Slot:
slot_type = None
def __init__(self, spec):
self.name: str = spec["name"]
self.require... | lorenz-h/six_intents | six_intents/intent.py | intent.py | py | 3,199 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "typing.Any",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_numbe... |
4562673066 | """
Clustering's Tasks
"""
import requests
from common.vectorize import Vectorize
from common.clustering import Clustering
from common import config
def do_clustering(clustering_id, peminjamans, url):
juduls = []
distinct_peminjamans = []
for peminjaman in peminjamans:
if peminjaman['buku_title'] ... | ridhof/library-procurement-v2 | app/mod_clustering/tasks.py | tasks.py | py | 1,972 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "common.vectorize.Vectorize",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "common.clustering.Clustering",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": ... |
24393180878 | import math
import pdb
import numpy as np
import pandas as pd
import tensorflow as tf
from sklearn import metrics
from tensorflow.python.data import Dataset
import visualizations as vi
from matplotlib import pyplot as plt
def split_train_data(dataframe):
# shuffle data
dataframe.reindex(np.random.permutation... | busybug91/house_price_prediction | house_prices.py | house_prices.py | py | 10,341 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "numpy.random.permutation",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "pandas.DataFrame",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "numpy.arr... |
13431005851 | from datetime import datetime
from bs4 import BeautifulSoup
import time
from selenium import webdriver
import pendulum
options = webdriver.ChromeOptions()
options.add_argument('--ignore-ssl-errors=yes')
options.add_argument('--ignore-certificate-errors')
driver = webdriver.Remote(
command_executor='http://185.104... | PaperDevil/more-tech-4.0 | parsers/consultant_parser.py | consultant_parser.py | py | 1,786 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.Remote",
"line_number": 11,
"usage_type": "call"
},
{
"api_n... |
35495752323 | # -*- coding: utf-8 -*-
##############################################################################
#
# ACHIEVE WITHOUT BORDERS
#
##############################################################################
from odoo import api, fields, models
from datetime import datetime
import logging
_logger = logging.get... | awb-jonathan/Modules | awb_subscriber_bill/models/account.py | account.py | py | 4,578 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "odoo.models.Model",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "odoo.models",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "odoo.fields.One2... |
7745693542 | import uuid
from cas import CASPrincipal
from nanohttp import context
from restfulpy.orm import DeclarativeBase, Field, ModifiedMixin, \
ActivationMixin, SoftDeleteMixin, relationship, DBSession, \
FilteringMixin, PaginationMixin, OrderingMixin
from restfulpy.principal import JwtRefreshToken
from sqlalchemy im... | mkhfring/pychat | jaguar/models/membership.py | membership.py | py | 4,817 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "sqlalchemy.Table",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "restfulpy.orm.DeclarativeBase.metadata",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "restfulpy.orm.DeclarativeBase",
"line_number": 14,
"usage_type": "name"
},... |
25469552092 | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="bioimageit_formats",
version="0.2.0",
author="Sylvain Prigent and BioImageIT team",
author_email="bioimageit@gmail.com",
description="Manage data formats for BioImageIT project",
long_... | bioimageit/bioimageit_formats | setup.py | setup.py | py | 821 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "setuptools.setup",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 15,
"usage_type": "call"
}
] |
32925360488 | import random
import arcade
import math
SPRITE_SCALING = 0.5
SCREEN_WIDTH = 800
SCREEN_HEIGHT = 600
class Medal(arcade.Sprite):
def __init__(self, filename, sprite_scaling):
""" Constructor. """
# Call the parent class (Sprite) constructor
super().__init__(filename, sprite_scaling)
... | zachwemhoff/learn-arcade-work | Lab 08 - Sprites/lab_08.py | lab_08.py | py | 5,688 | python | en | code | null | github-code | 97 | [
{
"api_name": "arcade.Sprite",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "math.sin",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "math.cos",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "arcade.Sprite",
"line_number... |
7027310249 | import numpy as np
import matplotlib.pyplot as plt
from scipy.special import factorial
from matplotlib.widgets import Slider
from scipy.stats import expon
def function(la,x):
return np.exp(-la)*np.power(la,x)/factorial(x)
def exponential(x,scale):
return expon.pdf(x,0,scale)
x = np.arange(0,20,0.1)
fig, ax ... | rock53-cmd/Probability-Distribution-Visualizer | exponential_vs_poisson.py | exponential_vs_poisson.py | py | 849 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "numpy.exp",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.power",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "scipy.special.factorial",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "scipy.stats.expon.pdf",
... |
25126480205 | import networkx as nx
import matplotlib.pyplot as plt
url_graph_file = 'TestDataset/url_graph_file'
url_id_mapping = 'TestDataset/url_id_mapping'
G = nx.DiGraph()
# Read in URL id mapping
url_map = {}
with open(url_id_mapping, 'r') as f:
for line in f:
node_id, url = line.strip().split()
... | adbu42/google_prototype | hits_calculation.py | hits_calculation.py | py | 988 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "networkx.DiGraph",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "networkx.hits",
"line_number": 25,
"usage_type": "call"
}
] |
27736178330 | # -*- coding: utf-8 -*-
from argh.decorators import arg
from lain_sdk.util import warn, info
from lain_cli.auth import authorize_and_check
from lain_cli.utils import get_version_lists, lain_yaml, check_phase
@arg('phase', help="lain cluster phase id, can be added by lain config save")
def appversion(phase):
"""
... | laincloud/lain-cli | lain_cli/appversion.py | appversion.py | py | 844 | python | en | code | 6 | github-code | 97 | [
{
"api_name": "lain_cli.utils.check_phase",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "lain_cli.utils.lain_yaml",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "lain_cli.auth.authorize_and_check",
"line_number": 17,
"usage_type": "call"
},
{
... |
11785094382 | import time
import cv2
import numpy as np
import torch
from mmcv.runner import get_dist_info
from ..builder import PIPELINES
@PIPELINES.register_module()
class SelectRays:
"""random select rays when training
Args:
keys (Sequence[str]): Required keys to be converted.
"""
def __init__(self,
... | openxrlab/xrnerf | xrnerf/datasets/pipelines/augment.py | augment.py | py | 12,090 | python | en | code | 529 | github-code | 97 | [
{
"api_name": "torch.stack",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "torch.meshgrid",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "torch.linspace",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "torch.linspace",
"line_... |
26363829099 | from PySide6 import QtCore, QtWidgets
from numbers import Number
from cmlibs.zinc.element import Element
from cmlibs.zinc.glyph import Glyph
from cmlibs.zinc.graphics import Graphics, GraphicsStreamlines, Graphicslineattributes
from cmlibs.zinc.scenecoordinatesystem import SCENECOORDINATESYSTEM_LOCAL, Scenecoordinate... | cmlibs-python/cmlibs.widgets | src/cmlibs/widgets/graphicseditorwidget.py | graphicseditorwidget.py | py | 46,505 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "cmlibs.zinc.element.Element.FaceTypeEnumFromString",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "cmlibs.zinc.element.Element",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "cmlibs.zinc.element.Element.FaceTypeEnumToString",
"line_numbe... |
1083413623 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('store', '0001_initial'),
]
operations = [
migrations.AlterModelOptions(
name='category',
options={'v... | kevgathuku/compshop | store/migrations/0002_auto_20150605_1406.py | 0002_auto_20150605_1406.py | py | 475 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.AlterModelOptions",
"line_number": 14,
"usage_type": "call"
... |
41233455155 |
import unittest
from decimal import Decimal
from unittest import TestCase
from pyspark.sql import types as T
class SparkTestCase(TestCase):
'''
Custom TestCase fully dedicated to the unit test between pyspark dataframes
'''
def __init__(self, methodName=None):
if methodName:
... | jnisa/tdd-pipeline | tests/utils/spark_test_case.py | spark_test_case.py | py | 3,238 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "unittest.TestCase",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "unittest.TestCase.__init__",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "unittest.TestCase",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "d... |
17114893554 | import numpy as np
import cv2
import pandas as pd
import Read_data
from keras.preprocessing import image
def clean_data(img_raw,label_raw,threshold=25):
bool_arr=np.array(map(lambda x:True if (x.shape[0]>threshold or x.shape[1]>threshold) else False,img_raw))
return img_raw[bool_arr],label_raw[bool_arr]
def... | Meirtz/TAIL-CAMP-2018 | CV/Data_scale.py | Data_scale.py | py | 2,539 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "numpy.array",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.full",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "cv2.resize",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.random.randint",
"line_nu... |
39953862509 | from pathlib import Path
from antarest.study.storage.rawstudy.io.reader import MultipleSameKeysIniReader
from antarest.study.storage.rawstudy.io.writer.ini_writer import IniWriter
from antarest.study.storage.rawstudy.model.filesystem.root.settings.generaldata import DUPLICATE_KEYS
GENERAL_DATA_PATH = "settings/genera... | AntaresSimulatorTeam/AntaREST | antarest/study/storage/study_upgrader/upgrader_800.py | upgrader_800.py | py | 1,137 | python | en | code | 10 | github-code | 97 | [
{
"api_name": "pathlib.Path",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "antarest.study.storage.rawstudy.io.reader.MultipleSameKeysIniReader",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "antarest.study.storage.rawstudy.model.filesystem.root.settings.g... |
18848009528 | #!/usr/bin/python3
from __future__ import annotations
from abc import ABCMeta
from typing import TYPE_CHECKING
from pollinatarr.logger.log import logger
from pollinatarr.torrents.torrent_container import TorrentContainer
if TYPE_CHECKING:
from pollinatarr.config.config import Config
from pollinatarr.config.... | Pollinatarr/Pollinatarr | pollinatarr/torrent_clients/abstract_torrent_client.py | abstract_torrent_client.py | py | 1,442 | python | en | code | 4 | github-code | 97 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "abc.ABCMeta",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "pollinatarr.config.torrent_clients_config.TorrentClientConfig",
"line_number": 21,
"usage_type": "name"
... |
70199415038 | import os
from models.params import COMMON_PARAMS as CP
from models.params import IM_DECODER_PARAMS as IDP
from models.basic_models.linear import DoublingLinearNetwork
import torch as T
import torch.nn as nn
import torch.optim as optim
class ImageDecoderNetwork(nn.Module):
def __init__(self, input_dim, output_d... | jullian-yapeter/rl_game | tasks/models/im_decoder.py | im_decoder.py | py | 1,286 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "torch.nn.Module",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "models.params.IM_DECODER_PARAMS.OUTPUT_DIM",
"line_number": 13,
"usage_type": "attribute"
},
{
"api... |
31827964270 | #****************************************************************************
#* setup.py for debug-mgr
#****************************************************************************
import os
import subprocess
import sys
from setuptools import setup
from distutils.extension import Extension
from setuptools.command.buil... | mballance-utils/debug-mgr | setup.py | setup.py | py | 6,593 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sys.argv",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "sys.argv.remove",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.environ.keys",
"li... |
3071495777 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import pandas_datareader as data
import streamlit as st
st.title('Stock Trend Prediction')
start = '2010-01-01'
end = '2019-12-31'
user_input = st.text_input('Enter Stock Ticker', 'AAPL')
df = data.DataReader(user_input, 'yahoo', start, end)
st.... | AdarshDhiman11/stock-analysis | stockapp.py | stockapp.py | py | 877 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "streamlit.title",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "streamlit.text_input",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas_datareader.DataReader",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "stre... |
73619712320 | import allure
from utils.base_web_driver import BaseWebDriver
import pytest
from Common import Log
from Page.Telpo_MDM_Page import TelpoMDMPage
log = Log.MyLog()
class TestTelpoMDM:
def setup_class(self):
self.driver = BaseWebDriver().get_web_driver()
self.page = TelpoMDMPage(self.driver, 40)
... | wmm98/Telpo_MDM | TestCase/test_z_telpo_mdm_page_discard.py | test_z_telpo_mdm_page_discard.py | py | 1,088 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "Common.Log.MyLog",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "Common.Log",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "utils.base_web_driver.BaseWebDriver",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "Page.Te... |
74296825920 | from imutils.video import VideoStream
import argparse
import datetime
import imutils
import time
import cv2
min_area = 250
vs = cv2.VideoCapture('case 6 (one after one).MOV')
firstFrame = None
while True:
frame = vs.read()
frame = frame if vs is None else frame[1]
if frame is None:
break
frame = imut... | glebulyanov/cosvid | det.py | det.py | py | 1,188 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "imutils.resize",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
... |
11502351175 | import json
import xmltodict
from StringIO import StringIO ##IF PYTHON3 from io import StringIO
from pyang.__init__ import Context, FileRepository
from pyang.translators.yin import YINPlugin
def create_yin(yang_model):
yang_model = str(yang_model).replace('\n', '')
yang_model_dict = _transform_yang_to_dict(... | netgroup-polito/frog4-datastore | datastore/YANGtoYIN.py | YANGtoYIN.py | py | 999 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "json.dumps",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pyang.__init__.Context",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pyang.__init__.FileRepository",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pyang... |
18388963637 | import logging
import os
import sys
import pandas
from immuno_probs.cdr3.olga_container import OlgaContainer
from immuno_probs.model.default_models import get_default_model_file_paths
from immuno_probs.model.igor_interface import IgorInterface
from immuno_probs.model.igor_loader import IgorLoader
from immuno_probs.ut... | keshav-motwani/immuno-probs | immuno_probs/cli/generate_sequences.py | generate_sequences.py | py | 16,694 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "immuno_probs.model.default_models.get_default_model_file_paths",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 53,
"usage_type": "attribute"
... |
13202571086 | # Create your views here.
from django.template import Context, loader
from agutoli.blog.models import Post, Category
from django.http import HttpResponse
def index(request):
posts_list = Post.objects.filter(published=True)
category_list = Category.objects.all()
t = loader.get_template('blog/index.html')
... | agutoli/django_blog_exemple | agutoli/blog/views.py | views.py | py | 854 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "agutoli.blog.models.Post.objects.filter",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "agutoli.blog.models.Post.objects",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "agutoli.blog.models.Post",
"line_number": 7,
"usage_type": "n... |
27694779228 | # -*- coding: utf-8 -*-
import pytest
import requests
from pathlib_mate import Path
from sfm.fingerprint import fingerprint
from superjson import json
from seedinvest_monitor.crawler import html_parser
def jprint(data):
print(json.dumps(data, indent=4, sort_keys=True))
def get_html(url):
fpath = Path(__fi... | MacHu-GWU/seedinvest_monitor-project | tests/test_crawler/test_html_parser.py | test_html_parser.py | py | 2,268 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "superjson.json.dumps",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "superjson.json",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "pathlib_mate.Path",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sfm.fingerprint... |
10738738186 | import socket
from ipaddress import IPv4Address, IPv6Address
from adapters.interfaces.sockets import SocketClientAbstract
from helpers import sockets
from core import exceptions, data_types
class SocketClient(SocketClientAbstract):
"""Socket TCP/IP"""
def __init__(self, address: IPv4Address | IPv6Address |... | HeinerAlejandro/tcp_socket_template | adapters/socket_client.py | socket_client.py | py | 1,553 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "adapters.interfaces.sockets.SocketClientAbstract",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "ipaddress.IPv4Address",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "ipaddress.IPv6Address",
"line_number": 13,
"usage_type": "name"
... |
33113101015 | from geopy.geocoders import Nominatim
geolocator = Nominatim(user_agent="manual_geo_querier")
# The following works:
# Address with block and street name. Eg. '605 ANG MO KIO AVENUE 5'
# Name of point of interest: 'SUNTEC CITY'
ADDRESSES = [
'XINMIN PRIMARY SCHOOL',
'SUNTEC CITY',
'22 BALAM ROAD'
]
for a... | MadJFish/DataPipeline | CXY/util_manual_geo_querier.py | util_manual_geo_querier.py | py | 475 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "geopy.geocoders.Nominatim",
"line_number": 3,
"usage_type": "call"
}
] |
1646925498 | # Chatbot with Python by Clarence Itai Msindo
import os
import telebot
from telegram import ReplyKeyboardMarkup, ReplyKeyboardRemove
from telegram.ext import Updater, CommandHandler, MessageHandler, Filters
from bot import main
BOT_TOKEN = os.environ.get('your-bot-token-here')
bot = telebot.TeleBot(BOT_TOKEN... | claryzw/Cozmo | Chatbot with Python/main.py | main.py | py | 1,919 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.environ.get",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "telebot.TeleBot",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "telegram.ext.Updater",
... |
71220766718 | from datetime import date, datetime
import pandas as pd
import pytest
from pandas._testing import assert_frame_equal
from python_project.data import (
ForecastResult,
ForecastParams,
ForecastData,
ForecastProblem,
)
from python_project.models.base import ForecastSolver
@pytest.mark.parametrize(
"... | fralfaro/python_project | tests/models/test_base.py | test_base.py | py | 5,055 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "python_project.models.base.ForecastSolver.forecaster",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "python_project.models.base.ForecastSolver",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "pandas._testing.assert_frame_equal",
"line_num... |
15316757758 | from django.conf.urls import patterns, include, url
from rest_framework.urlpatterns import format_suffix_patterns
# Reference Model Views:
from oarndb.views import AdultChildRelationshipTypesList, AdultChildRelationshipTypesDetail
from oarndb.views import LanguagesList, LanguagesDetail
from oarndb.views import Languag... | wire-rabbit/oarn-database | oarn/oarndb/urls.py | urls.py | py | 21,438 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.conf.urls.url",
"line_number": 94,
"usage_type": "call"
},
{
"api_name": "oarndb.views.AdultChildRelationshipTypesList.as_view",
"line_number": 94,
"usage_type": "call"
},
{
"api_name": "oarndb.views.AdultChildRelationshipTypesList",
"line_number": 94,
... |
23212725438 | from itertools import (
chain,
product,
permutations,
repeat,
)
from functools import (
reduce,
)
from operator import add
import blinker
from .replication_manager import GameObject
from .tools import dict_merge
from .bind_widget import bind_widget
summon_event = blinker.signal("summon")
revoke =... | Ecialo/seven_something_somewhat | mlp/grid.py | grid.py | py | 8,407 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "blinker.signal",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "blinker.signal",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "operator.add",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "replication_manager.GameOb... |
918968509 | import math
import seaborn as sns
from bioexplorer import BioExplorer, ParametricMembrane, Protein, Sugars, Virus, RNASequence, \
Vector2, Vector3, Quaternion
# pylint: disable=no-member
# pylint: disable=missing-function-docstring
def test_virus():
resource_folder = 'tests/test_files/'
pdb_folder = reso... | Centralize/BioExplorer | bioexplorer/pythonsdk/tests/test_virus.py | test_virus.py | py | 9,331 | python | en | code | null | github-code | 97 | [
{
"api_name": "bioexplorer.BioExplorer",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "bioexplorer.BioExplorer.REPRESENTATION_ATOMS",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "bioexplorer.BioExplorer",
"line_number": 23,
"usage_type": "nam... |
37034429721 | import sys
import os
import pathlib
sys.path.append(os.path.join(pathlib.Path(__file__).parent.absolute(), '..'))
import glob
import copy
import torch
import numpy as np
import time
from options import TrainOptions
from data import create_data_loader, create_dataset
from models import create_model
from models.mvs.mvs_p... | Xharlie/pointnerf | run/test_ft.py | test_ft.py | py | 17,612 | python | en | code | 992 | github-code | 97 | [
{
"api_name": "sys.path.append",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
4795446800 | import os
from binance.client import Client
from binance.enums import *
from binance.exceptions import BinanceAPIException
from binance.websockets import BinanceSocketManager
from futuremaker import utils
class BinanceAPI:
def __init__(self):
key = os.getenv('key')
secret = os.getenv('secret')
... | songaal/futuremaker | futuremaker/binance_api.py | binance_api.py | py | 5,435 | python | en | code | 17 | github-code | 97 | [
{
"api_name": "os.getenv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "binance.client.Client",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "binance.websockets.BinanceS... |
33284784882 | # sitio_web/urls.py
from django.conf.urls import include, url
from django.contrib import admin
from registration.backends.simple.views import RegistrationView
# Create a new class that redirects the user to the index page, if successful at logging
class MyRegistrationView(RegistrationView):
def get_success_url(s... | rbnuria/DAI | sitio_web/urls.py | urls.py | py | 648 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "registration.backends.simple.views.RegistrationView",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.conf.urls.url",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.include",
"line_number": 15,
"usage_type": "call... |
31101371096 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('phd_info_mgmt_system', '0013_auto_20180306_1741'),
]
operations = [
migrations.RemoveField(
model_name='scholarq... | chaitybhandari/phd_info_mgmt_system | phd_info_mgmt_system/migrations/0014_auto_20180414_0924.py | 0014_auto_20180414_0924.py | py | 665 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.RemoveField",
"line_number": 14,
"usage_type": "call"
},
... |
5305675246 | from django.shortcuts import render, get_object_or_404
from rest_framework import generics, status, viewsets, mixins
from rest_framework.response import Response
from . import serializers
from drf_yasg.utils import swagger_auto_schema
from .models import Profile, RunnerLevel, RunnerTag
from rest_framework.permissions i... | CCP4-senior/runtomo-backend | users/views.py | views.py | py | 4,522 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "rest_framework.generics.GenericAPIView",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.generics",
"line_number": 14,
"usage_type":... |
23949825872 | from typing import List, Optional
from ...tokenization_utils_base import AddedToken
from ...utils import logging
from ..gpt2.tokenization_gpt2_fast import GPT2TokenizerFast
from .tokenization_roberta import RobertaTokenizer
logger = logging.get_logger(__name__)
VOCAB_FILES_NAMES = {"vocab_file": "vocab.json", "merg... | alibaba/EasyNLP | easynlp/modelzoo/models/roberta/tokenization_roberta_fast.py | tokenization_roberta_fast.py | py | 6,770 | python | en | code | 1,835 | github-code | 97 | [
{
"api_name": "utils.logging.get_logger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "utils.logging",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "gpt2.tokenization_gpt2_fast.GPT2TokenizerFast",
"line_number": 19,
"usage_type": "name"
},
{
... |
18307141990 | #!/usr/bin/env python
import ROOT
import sys,os
import pandas as pd
import argparse
parser = argparse.ArgumentParser(description="input and output names")
parser.add_argument("-i", "--input", type=str, help="Input dir lives in ../output/ ??")
parser.add_argument("-test", "--testflag", action="store_true", help="test mo... | rafaeljacobsen/WVZMinitreeAnalysisTemp | MLcode/preprocess.py | preprocess.py | py | 1,319 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "ROOT.TFile.Open",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "ROOT.TFile",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "pandas.DataFra... |
70718453759 | from aiogram.types import (InlineKeyboardMarkup, InlineKeyboardButton,
ReplyKeyboardMarkup, KeyboardButton, WebAppInfo)
from aiogram.utils.keyboard import InlineKeyboardBuilder
from geopy.distance import geodesic
from app.database.requests import (get_locations_device, get_locations_sticks,
... | rlxrd/locatorbot | app/keyboards.py | keyboards.py | py | 4,331 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "aiogram.types.InlineKeyboardMarkup",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "aiogram.types.InlineKeyboardButton",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "aiogram.types.InlineKeyboardButton",
"line_number": 25,
"usage_type... |
26138665336 | import re
import sys
import datetime
import bork.config as CV
from enum import Enum
# -----------------------------------------------------------------------------
# Observable States
# RegEx pattern to parse the logcat file (wearable)
# -----------------------------------------------------------------------------
... | purdue-dcsl/vulcan | vulcan/vulcan-wear/bork/utils.py | utils.py | py | 7,269 | python | en | code | 7 | github-code | 97 | [
{
"api_name": "enum.Enum",
"line_number": 58,
"usage_type": "name"
},
{
"api_name": "enum.Enum",
"line_number": 70,
"usage_type": "name"
},
{
"api_name": "re.compile",
"line_number": 93,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 117,
... |
17340191860 | import json
import requests
from requests_toolbelt.multipart import MultipartEncoder
from config import Config
class AskerAPI:
def __init__(self):
self.headers = Config.headers_asker.copy()
def log_in(self, email, password):
data_login = {
"has_accepted_privacy_policy": False,
... | jasmine206/Selenium-Webdriver-Practice | api/asker_api.py | asker_api.py | py | 3,004 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "config.Config.headers_asker.copy",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "config.Config.headers_asker",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "config.Config",
"line_number": 11,
"usage_type": "name"
},
{
"a... |
42787309450 | import speech_recognition as sr
from gtts import gTTS
import os
import apa102
import time
LED_NUM = 3
leds = apa102.APA102(num_led=3)
colors = [[255,0,0],[0,255,0],[0,0,255]] # LED0: R, LED1: G, LED2: B
#obtain audio from the microphone
r=sr.Recognizer()
# recognize speech using Google Speech Recognition
try:
whil... | yue0211/Program-in-YZU | 物聯網與微處理機系統設計/hw7(語音辨識燈開關)/test.py | test.py | py | 1,811 | python | en | code | 4 | github-code | 97 | [
{
"api_name": "apa102.APA102",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "speech_recognition.Recognizer",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "speech_recognition.Microphone",
"line_number": 15,
"usage_type": "call"
},
{
"api_name... |
74735679040 | import os
import json
import pyodbc
import socket
from flask import Flask, request
from flask_restful import Api, Resource
from threading import Lock
from tenacity import *
import logging
import numpy as np
import pandas as pd
import requests
# User-defined libraries
import preprocessors.data_loader as data_loader
fro... | polarBearYap/used-car-dealership-fyp | car-dealership-web-service/shap-web-service/app/main.py | main.py | py | 15,943 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "flask.Flask",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "flask_restful.Api",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "preprocessors.data_loader.load_car_price_data",
"line_number": 31,
"usage_type": "call"
},
{
"api_n... |
33342843153 | import string
import numpy as np
import sys
import csv
import itertools
import lap
def index_to_well(index):
batch = int(np.floor(float(index)/4608.01)+1)
remainder = index % 4608
if remainder == 0: remainder = 4608
#print(batch,remainder)
sett = int(np.floor(float(remainder)/384.01)+1)
remainder = remainder %... | arturrc/bbqtl_inference | 3_compressed_sensing/lap_solve.py | lap_solve.py | py | 2,187 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "numpy.floor",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.floor",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.floor",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.floor",
"line_number": ... |
24912915808 | import keyboard
import time
import serial
import inputs
ser = serial.Serial('COM9', 9800, timeout=1)
steps=0.2
global lastevent
global lastlastevent
lastevent= ["hey",24]
lastlastevent= ["hey",24]
global tooglelumos
tooglelumos=False
while True:
events = inputs.get_gamepad()
for event in e... | Siddh1rt1/HogwartsLegacyLED | DONTLOOKATME.py | DONTLOOKATME.py | py | 1,912 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "serial.Serial",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "inputs.get_gamepad",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_num... |
15584509519 | #!/usr/bin/python
"""
ZetCode PyQt5 tutorial
This example shows an icon
in the titlebar of the window.
Author: Jan Bodnar
Website: zetcode.com
"""
import sys
from PySide2.QtWidgets import QApplication, QWidget
from PySide2.QtGui import QIcon
class Example(QWidget):
def __init__(self):
super().__init_... | dEAduction/dEAduction | snippets/PySide2/ZetCode_PyQt5_tutorial/First programs in PyQt5/icon.py | icon.py | py | 673 | python | en | code | 17 | github-code | 97 | [
{
"api_name": "PySide2.QtWidgets.QWidget",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "PySide2.QtGui.QIcon",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "PySide2.QtWidgets.QApplication",
"line_number": 34,
"usage_type": "call"
},
{
"api_... |
19627106079 | #!/usr/bin/env python
# coding: utf-8
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.common.action_chains import ActionChains
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support import ... | OscarMing/AI_Gesture | Hand_Detect_Software/AI_Software/AI_Software/Demo/libs/youtube_lib.py | youtube_lib.py | py | 6,209 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "libs.desktop_lib.Desktop",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "libs.utils.StateFlow",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "libs.utils.StateFlow.__init__",
"line_number": 27,
"usage_type": "call"
},
{
"api_n... |
37767618728 | import torch
import torch.nn as nn
import SemesterProject2.helpers.pytorch_utils as ptu
from torch.optim.lr_scheduler import ReduceLROnPlateau
from torch.utils.tensorboard import SummaryWriter
from SemesterProject2.envs.volumetric import Volumetric
from SemesterProject2.agents.policies.sampling_policy import SamplingP... | 10258392511/SemesterProject2 | helpers/vit_pre_trainer.py | vit_pre_trainer.py | py | 7,995 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "SemesterProject2.envs.volumetric.Volumetric",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "SemesterProject2.agents.policies.sampling_policy.SamplingPolicy",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "SemesterProject2.agents.vit_agent.ViT... |
1399450928 | from flask import request, jsonify
from ...flask_jwt_extended import jwt_required
from .controller import NoteController
from ... import bpp, Note
from ...general import Status
from ...general.route_decorators import allow_access
from ...schema import NoteSchema
@bpp.route('/note/<string:note_id>', methods=['PUT'])
@... | triplesmostar/dmk-backend | flask-project/FlaskProject/controllers/notes_controller/router.py | router.py | py | 1,249 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "flask.request.get_json",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.request",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "schema.NoteSchema",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "schema.load",
... |
27943967424 | from glob import glob
from setuptools import setup, find_packages, Extension
from os import getenv
Includes = [ '%s/include' % getenv('VIRTUAL_ENV', '/usr/local')
, '/usr/include' ]
Libraries = [ '%s/lib' % getenv('VIRTUAL_ENV', '/usr/local')
, '/usr/include' ]
VEN... | cjhanks/app-config | python/setup.py | setup.py | py | 910 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.getenv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "setuptools.Extension",
"line_number":... |
26318534924 | from datetime import datetime
from dataclasses import dataclass
from typing import List, Optional
from opentrons.calibration_storage.ot3.models.v1 import CalibrationStatus
from opentrons.calibration_storage.ot3.module_offset import (
get_module_offset,
load_all_module_offsets,
save_module_calibration,
)
fr... | Opentrons/opentrons | api/src/opentrons/hardware_control/modules/module_calibration.py | module_calibration.py | py | 3,033 | python | en | code | 363 | github-code | 97 | [
{
"api_name": "opentrons.types.Point",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "opentrons.hardware_control.modules.types.ModuleType",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "opentrons.calibration_storage.types.SourceType",
"line_number": 26,... |
72277346558 | from django.shortcuts import render, redirect
from django.views.decorators.csrf import csrf_exempt
from articles.models import Article, Comment
from django.http import HttpResponse
from django.http import JsonResponse
from foods.models import Food
import random
# Create your views here.
def index(request):
return... | auberr/django_tutorial05 | articles/views.py | views.py | py | 3,669 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.shortcuts.render",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "articles.models",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "articles.models... |
7412171162 | '''
the function of the code
批量提取指定类别的xml和对应图片
author@bjtu_huangyuxiang
'''
from __future__ import division
import os
import xml.dom.minidom
import shutil
classes = ['person', 'car', 'bus', 'bicycle', 'motorbike']
dirnames = ['xml_2007', 'images_2007']
def extraction_box(ImgPath, AnnoPath, OutPath):
... | XLin816/Data-Processing | tiqu_xml.py | tiqu_xml.py | py | 2,087 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.path.join",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number":... |
21130778419 | import logging
import os
from functools import wraps
from importlib import import_module
from inspect import isclass
from pkgutil import iter_modules
from typing import (
Callable,
Collection,
Dict,
List,
MutableMapping,
Sequence,
Type,
Union,
)
from sklearn.base import BaseEstimator
fr... | open-telemetry/opentelemetry-python-contrib | instrumentation/opentelemetry-instrumentation-sklearn/src/opentelemetry/instrumentation/sklearn/__init__.py | __init__.py | py | 27,244 | python | en | code | 527 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "typing.Callable",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "sklearn.base.BaseEstim... |
74127004479 | from typing import List
import nltk
# nltk.download('punkt')
from nltk.sem.evaluate import Model
from nltk.stem.api import StemmerI
from nltk.stem.lancaster import LancasterStemmer
from numpy.core.fromnumeric import shape
stemer = LancasterStemmer()
import numpy
import tflearn
import tensorflow
import rand... | coffee-tonight/chatbot_tflearn | main.py | main.py | py | 3,394 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "nltk.stem.lancaster.LancasterStemmer",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "nltk.word_t... |
31826568201 | """
Utility functions for integrating ODEs.
Author: Spencer M. Richards
Autonomous Systems Lab (ASL), Stanford
(GitHub: spenrich)
"""
from functools import partial
import jax
import jax.numpy as jnp
from jax.flatten_util import ravel_pytree
import numpy as np
@partial(jax.jit, static_argnums=(0,))... | spenrich/Control-Oriented-Meta-Learning | utils/ode.py | ode.py | py | 2,464 | python | en | code | 7 | github-code | 97 | [
{
"api_name": "jax.numpy.array",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "jax.numpy",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "jax.numpy.array",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "jax.numpy",
"line_numbe... |
73305204479 | from tarantella import logger
import tarantella as tnt
import tarantella.keras.utilities as utilities
import tarantella.strategy.pipelining.utilities as putil
import copy
import numpy as np
from functools import singledispatchmethod
from typing import Callable, Dict, Type, Any
import tensorflow as tf
def _on_epoch_e... | cc-hpc-itwm/tarantella | src/tarantella/strategy/pipelining/pipelining_callbacks.py | pipelining_callbacks.py | py | 9,052 | python | en | code | 12 | github-code | 97 | [
{
"api_name": "tarantella.is_group_master_rank",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "tarantella.is_group_master_rank",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.isnan",
"line_number": 29,
"usage_type": "call"
},
{
"api_n... |
18660594501 | from RAI.AISystem import AISystem
from RAI.Analysis import Analysis
import os
from dash import html, dcc
import plotly.graph_objs as go
class DataVisualization(Analysis, class_location=os.path.abspath(__file__)):
def __init__(self, ai_system: AISystem, dataset: str, tag: str = None):
super().__init__(ai_s... | cisco-open/ResponsibleAI | RAI/Analysis/VisualizationAnalysis/data_visualization.py | data_visualization.py | py | 6,638 | python | en | code | 42 | github-code | 97 | [
{
"api_name": "RAI.Analysis.Analysis",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "os.path.abspath",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "RAI.AISystem.AISystem... |
5544157229 | #!/usr/bin/env python3
#!/usr/bin/env python3
import json
from pathlib import Path
from itertools import chain
from sklearn.metrics import f1_score, precision_score, recall_score
import numpy as np
import random
def load_json(path: Path):
with path.open() as f:
return json.load(f)
def restruct_gold(g)... | davidkna/Bachelorarbeit-Extraction | stats/find_best_f1.py | find_best_f1.py | py | 3,599 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pathlib.Path",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "json.load",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number":... |
6195250175 | # LICENCIATURA EM ENGENHARIA INFORMÁTICA
# MESTRADO integrado EM ENGENHARIA INFORMÁTICA
# Inteligência Artificial
# 2022/23
# Draft Ficha 1
# Biblioteca de tratamento de grafos necessária para desenhar graficamente o grafo
import networkx as nx
# Biblioteca de tratamento de grafos necessária para desenha... | Gustominox/Intelegencia_artificial | grafo.py | grafo.py | py | 10,668 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "nodo.Node",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "nodo.Node",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "vector.x",
"line_number": 84,
"usage_type": "attribute"
},
{
"api_name": "vector.y",
"line_number": 84,
... |
73443716480 | ##FROM
## https://www.kaggle.com/kentaroyoshioka47/cnn-with-batchnormalization-in-keras-94
##
##
# -*- coding: utf-8 -*-
import argparse
import math
import sys
import time
import copy
import keras
from keras.models import Sequential, Model
from keras.layers import Dense, Dropout, Flatten, Activation, B... | nsaura/ML | codes_python/keras/cnn-with-batchnormalization-in-keras-94.py | cnn-with-batchnormalization-in-keras-94.py | py | 4,279 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "keras.backend.set_image_dim_ordering",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "keras.backend",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "keras.backend.image_data_format",
"line_number": 22,
"usage_type": "call"
},
{
... |
32576583238 | from pytest import fixture
from selenium import webdriver
def pytest_addoption(parser):
parser.addoption("--browser", action="store", default="firefox",
choices=["chrome", "firefox", "safari"])
parser.addoption("--executor", action="store", default="10.48.22.83")
# default = "192.168.... | FearFactor1/OtusPythonQAJune2020 | lesson15/Grid/conftest.py | conftest.py | py | 1,069 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "selenium.webdriver.Remote",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "pytest.fixture",
"line_number": 21,
"usage_type": "call"
}
] |
35296275460 | from fastapi import HTTPException, status
from routers.schemas import DS18B20
from sqlalchemy.orm.session import Session
from .models import database_DS18B20
import datetime
def create(db:Session, request: database_DS18B20):
new_readings = database_DS18B20(
timestamp = request.timestamp,
raw_input ... | Promofinder2/RPi-SmartGarden | backend/database/db_DS18B20.py | db_DS18B20.py | py | 724 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sqlalchemy.orm.session.Session",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "models.database_DS18B20",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "models.database_DS18B20",
"line_number": 8,
"usage_type": "call"
},
{
"api_n... |
28908321664 | #space invader (ship and bullets)
import math
import pygame
import random
from pygame import mixer
#initializing pygame
pygame.init()
#change number of enemies
num_of_enemies = 50
#change player speed
step = 1.9
# score
score_value = 0
font = pygame.font.Font("assets//Sportive-Regular.ttf", 32)
fon... | Nijaoui-Wassim/Space-Invaders | main.py | main.py | py | 6,829 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pygame.init",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pygame.font.Font",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pygame.font",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "pygame.font.Font",
"... |
31420047297 | from pandas import read_csv, DataFrame
import random
import numpy as np
from geek.analysis import geek_regression
"""
Define the GEEK Michaelis-Menten ODE-System
"""
seed = 1
df = read_csv('../data/result_full_factorial_pgm.csv')
# Reference concentrations
pgm = 64e-6
total_enzyme = pgm
g3p = 49e-6
g2p = g3p
#... | EPFL-LCSB/geek | paper/geek_qssa_example.py | geek_qssa_example.py | py | 9,888 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "pandas.read_csv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "geek.analysis.geek_regression",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "geek.analysis.geek_regression",
"line_number": 60,
"usage_type": "call"
},
{
"api_n... |
37756864152 | import streamlit as st #importing libraries
import pickle
import time
model = pickle.load(open('RF_model.pkl','rb')) #importing the model that was trained using Random forest algo
def main(): #defining main function
string = "CAR PRICE PREDICTOR"
st.set_page_config(page_title=string, page_icon="🚗", layou... | Rishikesh233/Hack_ccelerate_car | CarPredictor.py | CarPredictor.py | py | 13,233 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pickle.load",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "streamlit.set_page_config",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "streamlit.title",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "streamlit.markdown... |
17663185548 | import requests;
import os;
import json;
import argparse;
import random
import string
import google_auth_oauthlib.flow
import googleapiclient.discovery
import googleapiclient.errors
client_secrets_file = "client_secret_929159790117-e2jfbd1es2tgdncpkhk8a4l3nil55711.apps.googleusercontent.com.json"
class youtubeAPI:
... | HWask/youtubescraper | youtube.py | youtube.py | py | 4,723 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.environ",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "google_auth_oauthlib.flow.flow.InstalledAppFlow.from_client_secrets_file",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "google_auth_oauthlib.flow.flow",
"line_number": 29,
... |
5616348676 | # (c) Nelen & Schuurmans. Proprietary, see LICENSE file.
from django.contrib import admin
from django.utils.html import mark_safe
from nens_auth_client import models
import base64
import json
def decode_jwt(token):
"""Decode a JWT without checking its signature"""
if not token:
return
# JWT cons... | nens/nens-auth-client | nens_auth_client/admin.py | admin.py | py | 3,469 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "json.loads",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "base64.b64decode",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "django.utils.html.mark_safe",
... |
3422169556 | # -*- coding: utf-8 -*-
# @Time : 2020/2/26 12:23
# @Author : Deng Wenxing
# @Email : dengwenxingae86@163.com
# @File : 51jobDemo.py
# @Software: PyCharm
import requests,json
from lxml import etree
##搜索职位的入口url
url = 'https://search.51job.com/list/010000,000000,0000,00,9,99,python,2,1.html?lang=c&stype=&postc... | maketubu7/spiderDemo | baseSpider/51jobDemo.py | 51jobDemo.py | py | 1,799 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "requests.get",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "lxml.etree.HTML",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "lxml.etree",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "json.dumps",
"line_number... |
19276806251 | import numpy as np
import matplotlib.pyplot as plt
from sklearn.preprocessing import normalize
import pandas as pd
from LogisticRegression import LogisticRegression
df = pd.read_csv('data.csv')
data = df.to_numpy()
# Normalise First 3 Columns
X = data[:, 0:-2]
X = normalize(X, axis=0)
X = np.hstack((X, data[:, 3:-1])... | rahulduttt/logistic-regression | main.py | main.py | py | 643 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.normalize",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.hstack",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.hst... |
2198397016 | #!/usr/bin/env python3
#coding=utf-8
import sqlite3 as sql
import sys
def out(lists):
for f in lists:
print(f)
db = sql.connect(sys.argv[1])
fetch = db.execute('select filename from sha group by filename having count(*)>1;')
multi_filename = fetch.fetchall()
out(multi_filename)
for f in multi_fi... | calllivecn/testing | sqlite3/query.py | query.py | py | 582 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sqlite3.connect",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 14,
"usage_type": "attribute"
}
] |
2748448298 | #!/usr/bin/env python
# -*- coding: utf-8 -*
from __future__ import print_function
import re
import sys
import string
import argparse
parser = argparse.ArgumentParser(description='remove-short-lines: Delete short lines')
parser.add_argument('-s','--source', help='Source file that contains training data that needs scr... | jenh/epub-ocr-and-translate | onmt-helpers/remove-short-lines.py | remove-short-lines.py | py | 2,024 | python | en | code | 36 | github-code | 97 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "string.punctuation",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "re.sub",
"line_number": 48,
"usage_type": "call"
}
] |
42473359464 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import sys
from typing import Callable
from PyQt5.QtWidgets import QApplication, QMainWindow
from src.rightClickHelper.tool.effectTool import EffectTool
class TestTool:
@staticmethod
def createTestWindow(setMainWindowContent: Callable, size: tuple = (200, 200)):... | NWYLZW/right-click-helper | test/tool/testTool.py | testTool.py | py | 1,114 | python | en | code | 23 | github-code | 97 | [
{
"api_name": "typing.Callable",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QApplication",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtWi... |
10938809582 | """
Extension to landxplorer api
allows for extraction of more than landsat data from usgs
purpose for this project is to get modis data sets
landsatxplore has two functions:
download: Download one or several Landsat scenes.
search: Search for Landsat scenes.
this script will search for the appropria... | convergencelab/LSHT-HSLT-MODIS-Landsat-Fusion | Data_Extraction/EE_api_extension.py | EE_api_extension.py | py | 6,977 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "util.load_json",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_... |
24915465929 | import csv
import json
csvfile = open('buffalo-average-processing-time.csv', 'r')
jsonfile = open('buffalo.json', 'w')
fieldnames = ("id", "city_slug", "region_slug", "field_type_slug", "field_type_name", "date", "value", "national_avg")
reader = csv.DictReader( csvfile, fieldnames)
for row in reader:
json.dump(r... | randalljmardus/moonbeam | csv_json.py | csv_json.py | py | 358 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "csv.DictReader",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 10,
"usage_type": "call"
}
] |
16584756507 | import numpy as np
import argparse
import shutil
import glob
import cv2
import os
def main(args):
# train
train_dirs = glob.glob(os.path.join(args.src, 'train', '*'))
train_dst = os.path.join(args.src, 'train_list.txt')
print(len(train_dirs))
# if os.path.exists(train_dst):
# print('{} exists. exiting'.... | nathanin/milk | scripts/imagenet/preprocess_imagenet.py | preprocess_imagenet.py | py | 1,888 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "glob.glob",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number":... |
38294640836 | import numpy as np
import pandas as pd
from scipy import stats
from matplotlib import pyplot as plt
import matplotlib as mpl
from mpl_toolkits.mplot3d import Axes3D
from sklearn.cluster import DBSCAN
import glob, os
from sklearn import preprocessing
import scipy.cluster.hierarchy as hcluster
import sys
import warnings... | rastirith/Project_FRB | machine_learning/Osk/featureWriter.py | featureWriter.py | py | 13,240 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "matplotlib.cbook",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "warnings.filterwarnings",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": ... |
43468097337 | import sys
import socket
import time
import json
import struct
import traceback
from binascii import hexlify, unhexlify
from threading import Thread, RLock, Condition
from hashlib import sha256
from core.actualworksource import ActualWorkSource
from core.job import Job
class StratumWorkSource(ActualWorkSource):
... | TheSeven/Modular-Python-Bitcoin-Miner | modules/theseven/stratum/stratumworksource.py | stratumworksource.py | py | 12,039 | python | en | code | 82 | github-code | 97 | [
{
"api_name": "core.actualworksource.ActualWorkSource",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "core.actualworksource.ActualWorkSource.settings",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "core.actualworksource.ActualWorkSource",
"line_nu... |
36004963996 | from django.shortcuts import render, redirect
from .models import League, Team, Player
from . import team_maker
def index(request):
context = {
"baseball_leagues": League.objects.filter(sport__contains="baseball"),
"womens_leagues": League.objects.filter(name__contains="women"),
"hockey_leagues": League.object... | februarypython/Alex_Green | Django_Assignments/sports_orm/apps/leagues/views.py | views.py | py | 2,798 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "models.League.objects.filter",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "models.League.objects",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "models.League",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "mo... |
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