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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
42882353355 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
"""
Please refer the tutorial ":ref:`tutorial-parse_parser`".
"""
# pylint: disable=invalid-name, no-self-use
__author__ = "Mu Yang <http://muyang.pro>"
__copyright__ = "2018-2021 CKIP Lab"
__license__ = "GPL-3.0"
import re
from wcwidth import wcswidth
from ply.lex impo... | ckiplab/ehownet | ehn/parse/parser.py | parser.py | py | 8,932 | python | en | code | 10 | github-code | 36 | [
{
"api_name": "wcwidth.wcswidth",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "ply.lex.lex",
"line_number": 83,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 116,
"usage_type": "call"
},
{
"api_name": "ply.yacc.yacc",
"line_num... |
12545797664 | #!/usr/bin/env python
def check_path(fp):
import os
if not os.path.exists(fp):
raise FileNotFoundError("Could not find the file {}".format(fp))
def main(sew_file, orb_file, hdf_file, symmetry, index):
import re
import numpy as np
import h5py
print(' ')
print(' M U L L I K... | gaurabganguly1989/molcas_mo2ao_weights | molcas_ao_weights.py | molcas_ao_weights.py | py | 9,516 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.exists",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "re.search",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 46... |
24347774605 | import requests as req
from lxml import html
from tqdm import tqdm
url = 'http://swf.com.tw/scrap/'
page = req.get(url)
dom = html.fromstring(page.text)
images = dom.xpath('//img/@src')
def download(url):
filename = url.split('/')[-1]
r = req.get(url, stream=True)
with open(filename, 'wb... | theoyu13/python3 | python程式設計入門/F9796/ch11/download_img.py | download_img.py | py | 787 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "lxml.html.fromstring",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "lxml.html",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_num... |
29573142583 | import tensorflow as tf
from model import char_rnn
from utils import build_dataset
import numpy as np
start_token = 'B'
end_token = 'E'
model_dir = 'result/poem'
corpus_file = 'data/poems.txt'
lr = 0.0002
def to_word(predict, vocabs):
predict = predict[0]
predict /= np.sum(predict)
sample = np.random.ch... | yanqiangmiffy/char-rnn-writer | generate_poem.py | generate_poem.py | py | 2,358 | python | en | code | 83 | github-code | 36 | [
{
"api_name": "numpy.sum",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.random.choice",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "numpy.arange",
"l... |
13840387121 | from django.contrib import admin
from django.urls import path, include
from . import views
urlpatterns = [
path('joueur/',views.joueur, name="Joueur"),
path('club/',views.club,name="Club"),
path('player/',views.player,name="Player"),
path('',views.home, name="Home"),
path('affiche/',views.affiche_... | 2bFaycal/projet-django | foot/app/urls.py | urls.py | py | 1,182 | python | fr | code | 0 | github-code | 36 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
7043720148 | from keras.applications.inception_v3 import InceptionV3
from tensorflow.keras import layers, models, optimizers
INPUT_SHAPE_300_300 = (300, 300, 3)
def create_model(input_shape=INPUT_SHAPE_300_300, weights=None):
if weights is not None:
inception_base = InceptionV3(
weights=None, include_top=... | SalmanRafiullah/garbage-classification | models/inception_v3.py | inception_v3.py | py | 1,034 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "keras.applications.inception_v3.InceptionV3",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "keras.applications.inception_v3.InceptionV3",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.models.Sequential",
"line_number": 19... |
43163584792 | from flask import Flask
from flask_pymongo import PyMongo
from operator import itemgetter
from flask_login import LoginManager
import sys
# Initialize mongo db with app
app = Flask(__name__)
# mongodb_client = PyMongo(app, uri='mongodb://localhost:27017/todo_db')
mongodb_client = PyMongo(app, uri='mongodb://mongo:2701... | rickyjorgensen2000/cse312 | flaskr/db.py | db.py | py | 4,316 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask_pymongo.PyMongo",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "operator.itemgetter",
"line_number": 96,
"usage_type": "call"
}
] |
11580020473 | import mysql.connector
from tabulate import tabulate
import getpass
def login():
# This function is for establishing connection
# between python and mysql database by taking
# input of user id and password and host name
# then it take the input of database from the
# user and if the databa... | manavmittal05/InventoryManagement | ManavMittal_2021538_Master Stock-1.py | ManavMittal_2021538_Master Stock-1.py | py | 18,424 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "mysql.connector.connector.connect",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "mysql.connector.connector",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "mysql.connector",
"line_number": 17,
"usage_type": "name"
},
{
"... |
39277796402 | from PIL import Image, ImageSequence
from generators import Generator
class OverlayGenerator(Generator):
ALLOWED_OVERLAYS = {
"fire.gif": "burning",
"fire2.gif": "burning",
"sparkle.gif": "sparkling",
"sparkle2.gif": "sparkling",
"loving.gif": "loving",
}
def __in... | grdaneault/emojigen | api/generators/overlay.py | overlay.py | py | 2,116 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "generators.Generator",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "generators.Generator.get... |
15826968262 | from __future__ import print_function
from __future__ import division
from __future__ import unicode_literals
from __future__ import absolute_import
from future import standard_library
standard_library.install_aliases()
from builtins import str
from builtins import range
from builtins import *
from past.utils import ol... | e-mission/e-mission-server | emission/analysis/modelling/user_model_josh/utility_model.py | utility_model.py | py | 16,233 | python | en | code | 22 | github-code | 36 | [
{
"api_name": "future.standard_library.install_aliases",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "future.standard_library",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "emission.core.wrapper.trip_old.Coordinate",
"line_number": 29,
"usage_type"... |
41643896349 | from _GLOBAL_OPTIONS_ import factionsOptionMenu, addPremiumItems, addRevive, AddNightmareTickets, removeAds, unlockProfiles
from _PROFILE_OPTIONS_ import addItemsMenu, changeUsername, addCash, setFreeSkillReset, setLevel, setBlackStronboxes, addBlackKeys, addAugmentCores, setSupportItems, addMultiplayerStats
from _UT... | SWFplayer/SAS4Tool | _MAIN_.py | _MAIN_.py | py | 8,232 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "_UTILS_.mainTitle",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "msvcrt.kbhit",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "win32console.SetConsoleTitl... |
37407869802 | import pandas as pd
import numpy as np
from sklearn.model_selection import train_test_split
import os
import shutil
df = pd.read_csv('../data/speakers_all.csv')
df.drop(columns=['Unnamed: 9', 'Unnamed: 10', 'Unnamed: 11'], inplace=True)
df_full = df[df['file_missing?'] == False]
df_full['sex'] = df_full['sex'].apply(l... | acaldwell93/Accent-Classification | src/create_train_test_directories.py | create_train_test_directories.py | py | 1,769 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "... |
2888068360 | # -*- coding: utf-8 -*-
from __future__ import absolute_import
import json
import logging
from tornado.escape import json_encode
from tornado.escape import json_decode
from tornado.escape import utf8
from .constant import *
logger = logging.getLogger('server.' + __name__)
class JsonStream:
def __init__(self, ... | All-less/exotic-server | lib/json_stream.py | json_stream.py | py | 1,023 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tornado.escape.json_decode",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "tornado.escape.utf8",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "torn... |
30509808806 | #!/home/meichen/anaconda3/bin/python
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import os
import glob
import matplotlib.ticker as mticker
from matplotlib.ticker import StrMethodFormatter, NullFormatter
def main():
data = pd.read_csv('pairsfile_rgp_select.csv',skipinitialspace=True)
... | meichenl95/SR_deepfocus | figures/egfs_one.py | egfs_one.py | py | 2,853 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.read_csv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.chdir",
"line_number"... |
26014460878 | from ..h2o import random_forest
from .estimator_base import H2OEstimator
class H2ORandomForestEstimator(H2OEstimator):
def __init__(self,mtries=None,sample_rate=None,build_tree_one_node=None,ntrees=None,
max_depth=None,min_rows=None,nbins=None,nbins_cats=None,
binomial_double_trees=None... | tomasgreif/h2o-3 | h2o-py/h2o/estimators/random_forest.py | random_forest.py | py | 807 | python | en | code | null | github-code | 36 | [
{
"api_name": "estimator_base.H2OEstimator",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "h2o.random_forest",
"line_number": 17,
"usage_type": "call"
}
] |
14112986280 | import os
import allure
import pytest
import logging
from selenium import webdriver
from selenium.common.exceptions import NoSuchElementException
from selenium.webdriver.common.by import By
import allure
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.chrome.options import Options
clas... | nasretdinovs/tensor_autotest | common.py | common.py | py | 2,451 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.info",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "allure.step",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.common.by.By.CLASS_NAME",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name... |
21418641611 |
import ismrmrd
import os
import itertools
import logging
import numpy as np
import numpy.fft as fft
import ctypes
import mrdhelper
from datetime import datetime
# Folder for debug output files
debugFolder = "/tmp/share/debug"
def groups(iterable, predicate):
group = []
for item in iterable:
group.app... | HMS-CardiacMR/MyoMapNet | InLine_Implementation/Code/simplefft.py | simplefft.py | py | 4,004 | python | en | code | 23 | github-code | 36 | [
{
"api_name": "logging.info",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "ismrmrd.ACQ_IS_PHASECORR_DATA",
"line_number": 47,
"usage_type": "attribute"
},
{
"api_name": "ismrmrd.... |
26493496083 |
from django.urls import path
from .import views
urlpatterns = [
path("", views.index, name="storehome"),
path("about/", views.about, name="aboutus"),
path("contact/", views.contact, name="contactus"),
path("Seller/", views.seller, name="sellerid"), #Seller/ is the html file name not t... | princegupta003005/E-commerce-Website | Anapp/store/urls.py | urls.py | py | 697 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
495049737 | import imp
import importlib
import inspect
import os
import sys
import weakref
from collections import namedtuple
from enum import Enum
from dagster import check
from dagster.core.definitions.partition import RepositoryPartitionsHandle
from dagster.core.definitions.pipeline import PipelineDefinition
from dagster.core.... | helloworld/continuous-dagster | deploy/dagster_modules/dagster/dagster/core/definitions/handle.py | handle.py | py | 28,007 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "sys.version_info",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "collections.namedtuple",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "dagster.core.errors.DagsterInvariantViolationError",
"line_number": 38,
"usage_type": "call"... |
74060670184 | import re
from hashlib import sha256
from unittest import mock
import pytest
from aiohttp import web
from sqlalchemy import and_, select
from server.config import config
from server.db.models import ban, friends_and_foes
from server.exceptions import BanError, ClientError
from server.game_service import GameService
f... | FAForever/server | tests/unit_tests/test_lobbyconnection.py | test_lobbyconnection.py | py | 34,970 | python | en | code | 64 | github-code | 36 | [
{
"api_name": "server.games.VisibilityState.PUBLIC",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "server.games.VisibilityState",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "pytest.fixture",
"line_number": 30,
"usage_type": "call"
},
{
... |
31347480186 | from PIL import Image
from gcbmanimation.util.tempfile import TempFileManager
Image.MAX_IMAGE_PIXELS = None
class Frame:
'''
Represents a presentation-format image that can be included in an animation.
A frame usually applies to a particular year and points to an image file on disk.
Arguments:
'ye... | moja-global/GCBM.Animation | gcbmanimation/animator/frame.py | frame.py | py | 4,162 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "PIL.Image.MAX_IMAGE_PIXELS",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
... |
19865653500 | import streamlit as st
import base64
import os
from nbanalyzer import *
from PIL import Image
import time
script_directory = os.getcwd()
PROGRESS_BAR_CUSTOM_COLOR = '#f63366'
ordinal = lambda n: "%d%s" % (n,"tsnrhtdd"[(n//10%10!=1)*(n%10<4)*n%10::4])
def load_data(year: int, stat_type: str):
if stat_type == 'pla... | tta13/NBA-Stats-Explorer | nba_app.py | nba_app.py | py | 9,140 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "os.getcwd",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "base64.b64encode",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "streamlit.set_option",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"... |
70786129065 | from Bio.Seq import Seq
import os
def parse_query_results(path):
"""
This fucntion will p[arse the query results
:param path: The path of the file that contains the query results
:return: An array that contains the results described in the file
"""
file = open(path,"r")
results = []
for ... | guys79/BioInformaticsProject | main.py | main.py | py | 11,616 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.dirname",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 61,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "Bio.Seq.Seq",
"line_... |
38930132887 | """
from pytube import Playlist
import pytube
itemlist = {}
playlist = Playlist("")
for item in playlist:
j = pytube.YouTube(item).title.title()
oi = pytube.YouTube(item).metadata.metadata
print(oi)
print(j)
itemlist[j] = [item, oi]
print(itemlist)
from mutagen.easyid3 import EasyID3
audio = Eas... | Suave101/pytube-AHHHHHH | Tags.py | Tags.py | py | 903 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.chdir",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "mutagen.easyid3.EasyID3",
"line_number": 33,
"usage_type": "call"
}
] |
12151884978 | import torch # noqa
from model import softmax_classifier
from model import softmax_classifier_backward
from model import cross_entropy
from utils import Metric, accuracy # noqa
__all__ = ['create_model', 'test_epoch', 'test_epoch', 'train_loop']
#################################################
# create_model
###... | antebi-itai/Weizmann | DL for CV/HW1/Solution/Code/train.py | train.py | py | 5,534 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torch.rand",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "torch.rand",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "utils.Metric",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "utils.Metric",
"line_number": ... |
28890245799 | """Score network module."""
import torch
import copy
import math
from torch import nn
from torch.nn import functional as F
from openfold.utils.rigid_utils import Rigid, Rotation
from data import utils as du
from data import all_atom
from model import ipa_pytorch
from motif_scaffolding import twisting
import functools a... | blt2114/twisted_diffusion_sampler | protein_exp/model/score_network.py | score_network.py | py | 13,595 | python | en | code | 11 | github-code | 36 | [
{
"api_name": "torch.Tensor",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "torch.arange",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "torch.sin",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "math.pi",
"line_number":... |
34781259647 | import h5py
import numpy as np
filename = 'weight_imgnet_ker5_h5/ResNet_18_ker5.h5'
h5f = h5py.File(filename, 'r')
cvsfmt = '%.18e' # covers upto float128
# get a List of data sets in group 'dd48'
# print('h5f:', h5f.shape)
# Get the data
lv0_keys = list(h5f.keys())
print("lv0: ", lv0_keys)
for keys0 in lv0_keys:
... | dwkim606/lattigo_conv | imgnet_read_h5.py | imgnet_read_h5.py | py | 1,175 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "h5py.File",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "numpy.savetxt",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.reshape",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.savetxt",
"line_number... |
39056277589 | from matplotlib import pyplot as plt
vr=[2.6,2.8,3.0,3.1,3.2,3.3,3.4,3.6]
VR=[48.37,57.55,64.92,69.12,72.82,74.12,73.1,67.66]
plt.plot(vr,VR,'k',lw=1.5)
plt.scatter(vr,VR,marker='+',s=90,lw=1.5)
plt.grid()
plt.xlabel('Rupture speed (km/s)')
plt.ylabel('Variance reductio (%)')
plt.show() | Ogweno/mylife | Nepal/plot_rupt_speed.py | plot_rupt_speed.py | py | 290 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.scatter",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matpl... |
12478884070 | import json
import os
import cv2
import numpy as np
import numpy.matlib
import matplotlib.pyplot as plt
import matplotlib.patches as patches
import matplotlib.animation as animation
# change IDs to your IDs.
ID1 = '206299463'
ID2 = '312497084'
ID = "HW3_{0}_{1}".format(ID1, ID2)
RESULTS = 'results'
os.makedirs(RESUL... | StudentYuval/VP2023 | ex3/particle_filter.py | particle_filter.py | py | 11,564 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.makedirs",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.ndarray",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": "numpy.copy",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "numpy.clip",
"line_numb... |
74551961384 | #!/usr/bin/env python3
# encoding:utf-8
'''
@author: lierl
@file: use_enum.py
@time: 2018/3/24 17:31
'''
__author__ = 'lierl'
from enum import Enum, unique
Month = Enum('Month',('Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec'))
for name, member in Month.__members__.items():
print(name, '=... | dream7319/djtest | demo/use_enum.py | use_enum.py | py | 1,187 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "enum.Enum",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "enum.Enum",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "enum.unique",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "enum.Enum",
"line_number": 44,
... |
33057055793 | from flask import request
from app import app
from app.service import get_value, set_value, add_set, get_set, set_expiry, range_elements, rank
#End point for GET, SET and EXPIRE command
@app.route('/redis/key',methods=['POST','GET','PATCH'])
def keyDetails():
if request.method == "GET":
key = request.form[... | shreyans-sureja/Redis-Implementation | app/routes.py | routes.py | py | 1,651 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.request.method",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "flask.request.form",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "flask.re... |
40857469466 | import requests
import show_route
import serial
class Navi_auto:
def __init__(self):
self.key = '1b1779b2176bc8d85a93f9aef22b8a53'
self.latitude = 1
self.longitude = 0
self.start_coordinate = [116.481028, 39.989643]
self.desti_coordinate = [116.434446, 39.90816]
sel... | haiboCode233/KivyPlusAR | GPSAPI.py | GPSAPI.py | py | 4,415 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "show_route.gps_lon_lat.clear",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "show_route.gps... |
29500719773 | import json
from pyspark.sql import SparkSession
from pyspark.sql.functions import concat, col, lit, split, to_date, date_format
import os
import time
# Create a SparkSession
spark = SparkSession.builder.getOrCreate()
# Start the timer
start_time = time.time()
# Load the config file
with open('config.json') as f:
... | hari01008/Extract-Transform-Load-With-Mysql-and-Pyspark | transform.py | transform.py | py | 2,316 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pyspark.sql.SparkSession.builder.getOrCreate",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql.SparkSession",
"line_number": 8,
"usage_type... |
22577730329 | '''
Created on 06.12.2013
@author: hfrieden
Import an Arma 2/Arma 3 unbinarized MDL file
'''
import struct
import bpy
import bmesh
import os.path as path
import ArmaToolbox
import ArmaTools
def getLayerMask(layer):
res = [False, False, False, False, False,
False, False, False, False, False,
... | AlwarrenSidh/ArmAToolbox | ArmaToolbox/MDLImporter.py | MDLImporter.py | py | 18,846 | python | en | code | 70 | github-code | 36 | [
{
"api_name": "struct.unpack",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "struct.unpack",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "struct.unpack",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "struct.unpack",
"line_n... |
43008845296 | import pytest
from sqlobject import DatabaseIndex, ForeignKey, IntCol, MultipleJoin, \
SQLObject, StringCol
from sqlobject.dberrors import DatabaseError, IntegrityError, \
OperationalError, ProgrammingError
from sqlobject.tests.dbtest import raises, setupClass, supports
#######################################... | sqlobject/sqlobject | sqlobject/tests/test_indexes.py | test_indexes.py | py | 3,088 | python | en | code | 140 | github-code | 36 | [
{
"api_name": "sqlobject.SQLObject",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "sqlobject.StringCol",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sqlobject.IntCol",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sqlobject.Da... |
10024409616 | import csv
import operator
import decimal
import numpy as np
import matplotlib.pyplot as pl
import calendar
import sys
import os.path
h = open('../results/MonthlyTurnoverOldCerrado.csv','rb')
data = csv.reader(h)
months = []
bints = []
seasons = []
boundarys = []
sumprecips = []
avghumid = []
avgvisits = []
for col... | musikzauberin/buzz | code/OldCode/plotting2.py | plotting2.py | py | 828 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "csv.reader",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot... |
21609680031 | from contextlib import contextmanager
import sys
import os
import tempfile
from shutil import rmtree
from os import getcwd, chdir
from os.path import join, basename, dirname, isdir, abspath, sep
import unittest
import six
from six.moves import reload_module
from pylint import config, lint
from pylint.lint import PyLi... | a0x8o/kafka | sdks/python/.tox/lint/lib/python2.7/site-packages/pylint/test/unittest_lint.py | unittest_lint.py | py | 26,703 | python | en | code | 59 | github-code | 36 | [
{
"api_name": "os.name",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "os._name",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "sys.platform",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "tempfile.mkdtemp",
"... |
32473828762 | from config import bot, chat_id
from time import sleep
from telebot import types
from plugins.error import Error
from plugins.message import shout
import random
from plugins.error import in_chat, check_private
@in_chat()
def say(m):
bot.delete_message(m.chat.id, m.message_id)
try:
if m.chat.type != "pr... | evilcatsystem/telegram-bot | plugins/say.py | say.py | py | 2,015 | python | ru | code | 1 | github-code | 36 | [
{
"api_name": "config.bot.delete_message",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "config.bot",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "telebot.types.InlineKeyboardMarkup",
"line_number": 14,
"usage_type": "call"
},
{
"api_name"... |
16627412673 | '''
*****************************************************************************************
*
* =================================================
* Pharma Bot Theme (eYRC 2022-23)
* =================================================
*
* This script is intended for implementation of Ta... | advait-0/eyrc22_PB_3004 | Task 4/Task 4A/task_4a.py | task_4a.py | py | 20,080 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "os.getcwd",
"line_number": 80,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 81,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 81,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number":... |
36788048136 | from pydantic import BaseSettings, BaseModel
from pathlib import Path
from .languages import WIKIPEDIA_LANGS
import toml
class Settings(BaseSettings):
status: str = "unknown"
logging_chat: int = None
db_path: Path = Path("jdanbot.db")
music_path: Path = Path("media/music")
admin_notes: list[s... | jDan735/jdan734-bot | bot/config/config.py | config.py | py | 1,254 | python | en | code | 5 | github-code | 36 | [
{
"api_name": "pydantic.BaseSettings",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "pydantic.BaseModel",
... |
17217695574 | from extras import *
from common import Common
from indexer import Indexer
import math
import re
import nltk
import operator
from collections import defaultdict, OrderedDict
from nltk.stem import SnowballStemmer
from nltk.corpus import wordnet
class Query_Expansion:
def __init__(self):
"""
Constr... | ghildiyal-ashutosh/Search_Engine | tasks/query_expansion.py | query_expansion.py | py | 6,739 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "collections.defaultdict",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "common.Common",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "indexer... |
10210350419 | from sklearn import datasets
from sklearn.impute import SimpleImputer
from sklearn.model_selection import train_test_split
import pandas as pd
import numpy as np
# Multiclass Classification Datasets
def load_mnist():
mnist = datasets.load_digits(as_frame=True)
mnist_X, mnist_y = mnist.data, mnist.target
... | eccabay/CMA-ES_hyperparameters | load_data.py | load_data.py | py | 6,168 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sklearn.datasets.load_digits",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 14,
"usage_type": "call"
},
{... |
38516174008 | # pip install uszipcode
import pandas as pd
from uszipcode import SearchEngine
search = SearchEngine(simple_zipcode=False)
def add_coordinates(df):
'''Input: a pandas dataframe which includes a 'Zip' field representing a
US zip code.
Output: dataframe with 'lat' and 'lng' fields added which represent... | dslachar/analysis_of_crp_data | add_coordinates.py | add_coordinates.py | py | 3,241 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "uszipcode.SearchEngine",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pandas.Series",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pandas.Series",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pandas.Series",
... |
8519295436 | import pygame
import Snake, Apple
import os
os.environ['SDL_VIDEO_CENTERED'] = '1'
pygame.mixer.pre_init(44100, -16, 1, 512)
pygame.init()
pygame.display.set_caption("Sssssnake")
# 10x10 segments
winwidth = 200
winheight = 240
win = pygame.display.set_mode((winwidth, winheight))
# segment - 20x20px
segsize = 20
sna... | TZdybel/Games-with-Pygame | snake/main.py | main.py | py | 3,681 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.environ",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "pygame.mixer.pre_init",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pygame.mixer",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "pygame.init",
... |
31458300119 | import pygame
import jumpingHorses.constants as Constants
from .constants import BLACK_PIECE, WHITE_PIECE, MOVE_COLOR, MOVE_RADIUS, SQUARE_SIZE, WIDTH, HEIGHT, LETTER_GAP_SIZE, OUTLINE_SIZE
from .board import Board
from menu.main_menu import MainMenu
import menu.gameState as GameState
class GameMaster:
#in... | perkonss/AI1darbs | jumpingHorses/game_master.py | game_master.py | py | 3,699 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "constants.WHITE_PIECE",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "board.Board",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "constants.LETTER_GAP_SIZE",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "constants... |
37350976457 | """Zero-field splitting.
See::
Spin decontamination for magnetic dipolar coupling calculations:
Application to high-spin molecules and solid-state spin qubits
Timur Biktagirov, Wolf Gero Schmidt, and Uwe Gerstmann
Phys. Rev. Research 2, 022024(R) – Published 30 April 2020
"""
from math import pi
fr... | f-fathurrahman/ffr-learns-gpaw | my_gpaw/zero_field_splitting.py | zero_field_splitting.py | py | 7,481 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "my_gpaw.calculator.GPAW",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "numpy.zeros",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "my_gpaw.typing.Array2D",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "my_gpaw.ty... |
19840085119 | import numpy as np
import tensorflow as tf
from mpl_toolkits import mplot3d
from d2l import tensorflow as d2l
def f(x):
return x ** 2
def f_grad(x):
return 2 * x
def gd(eta, f_grad):
x = 10.0
results = [x]
for i in range(10):
x -= eta * f_grad(x)
results.append(float(x))
pr... | AnhVietPham/Deep-Learning | optimization-algrithms/gradient-descent/main.py | main.py | py | 1,568 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "tensorflow.range",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "d2l.tensorflow.set_figsize",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "d2l.tensorflow",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "d2l.tensor... |
38568112529 | import collections
class Solution:
def findLucky(self, arr) :
count = collections.Counter(arr)
max_count = -1
for key in count :
if key == count[key]:
max_count = max(max_count, key)
return max_count
s = Solution()
print(s.findLucky([4,2,3... | archanakalburgi/Algorithms | daily_log/27_aug/lucky_num.py | lucky_num.py | py | 561 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "collections.Counter",
"line_number": 4,
"usage_type": "call"
}
] |
34182105193 | import time
from unittest import skip
from qiskit.providers.jobstatus import JobStatus
from qiskit_ibm_runtime.exceptions import RuntimeJobTimeoutError
from ..unit.mock.proxy_server import MockProxyServer, use_proxies
from ..ibm_test_case import IBMIntegrationJobTestCase
from ..decorators import run_integration_test
... | Qiskit/qiskit-ibm-runtime | test/integration/test_results.py | test_results.py | py | 9,622 | python | en | code | 106 | github-code | 36 | [
{
"api_name": "ibm_test_case.IBMIntegrationJobTestCase",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "unittest.skip",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "decorators.run_integration_test",
"line_number": 17,
"usage_type": "name"
},
{
... |
44209779593 | """OWM API parser for creating weather report of different cities"""
from app.input_file_handler import *
from app.logging_and_error_handler import *
import requests
class CityReport:
"""Get report from OWM for current city and process it"""
def __init__(self, city: City):
"""
:par... | vizamo/Python-Study-Coding | ICD0004/Final Project/app/owm_parser.py | owm_parser.py | py | 7,368 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 31,
"usage_type": "call"
}
] |
73603910825 | from flask import Flask
from bitrix24 import *
import pycep_correios
app = Flask(__name__)
@app.route('/<id>', methods=['POST','GET'])
def cep(id):
bx24 = Bitrix24('https://megaisencoes.bitrix24.com.br/rest/XXXX/XXXXXXX/')
dealId = id
chamada= bx24.callMethod("crm.deal.get", id=dealId)
... | Gabriandl/Projetos-Mega | addCep/addCep.py | addCep.py | py | 2,148 | python | pt | code | 1 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pycep_correios.get_address_from_cep",
"line_number": 22,
"usage_type": "call"
}
] |
26610511083 | #DEFAULT ARGUMENTS#
import torch
import numpy as np
from utilities.optirank.src.BCD.Create_Instructions_List import classical_architecture_separate_b_once
from utilities.small_functions import percentage_zero, percentage_ones
from utilities.optirank.src.relaxation.lambda_P_setting import delta_loss
from utilities.opti... | paolamalsot/optirank | utilities/optirank/classifiers/default_args.py | default_args.py | py | 2,224 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "utilities.optirank.src.BCD.Create_Instructions_List.classical_architecture_separate_b_once",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "numpy.inf",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "utilities.optirank.src.relaxation.lambd... |
24389916144 | import os.path
import warnings
from collections import defaultdict
from itertools import chain
from . import builtin
from .. import options as opts
from .file_types import static_file
from .path import relname
from ..backends.compdb import writer as compdb
from ..backends.make import writer as make
from ..backends.nin... | jimporter/bfg9000 | bfg9000/builtins/link.py | link.py | py | 25,450 | python | en | code | 73 | github-code | 36 | [
{
"api_name": "build_inputs.build_input",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "build_inputs.Edge",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "pa... |
19788170743 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
import re
import math
import codecs
import random
import numpy as np
import os
import jieba
import pickle
import shutil
jieba.initialize()
def zero_digits(s):
"""将0~9数字字符统一用"0"字符取代
"""
return re.sub('\d', '0', s)
def load_sentences(path, lower, zeros):
... | churximi/Car-NER | data_utils.py | data_utils.py | py | 14,187 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "jieba.initialize",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_number": 160,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
8890281336 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Sep 18 11:28:15 2017
@author: vitorhadad
"""
import torch
from torch import nn, cuda
from torch.autograd import Variable
import torch.nn.functional as F
from torch import optim
import numpy as np
from torch.nn.utils.rnn import pack_padded_sequence, pa... | halflearned/organ-matching-rl | matching/deep_ml/count_lstm.py | count_lstm.py | py | 6,722 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "torch.nn.Module",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "torch.nn.CrossEntropyLoss",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "torch.nn",
... |
32017330441 | import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from matplotlib import cm
import numpy as np
import math
if __name__ == '__main__':
SZ = 64 # taille de l'image
SP = int(SZ / 2) # Coordonnee max/min
im = np.zeros((SZ, SZ), np.uint8) # Image comme un tableau
all_i = range(-SP, ... | JuIngong/TPTelecom | Signaux/TP2/tp2_2.py | tp2_2.py | py | 815 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.zeros",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "math.sin",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
... |
10794984259 | from absl.testing import absltest
from absl.testing import parameterized
import more_itertools
import tensorflow as tf
from uncertainty_baselines.datasets import datasets
import data_preprocessor # local file import from experimental.language_structure.vrnn
import data_utils # local file import from experimental.lang... | HeyGF/uncertainty-baselines | experimental/language_structure/vrnn/data_preprocessor_test.py | data_preprocessor_test.py | py | 4,004 | python | en | code | null | github-code | 36 | [
{
"api_name": "data_preprocessor.INPUT_ID_NAME",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "data_preprocessor.INPUT_MASK_NAME",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "data_preprocessor.DIAL_TURN_ID_NAME",
"line_number": 12,
"usa... |
39006259890 |
import os
import anndata
import scanpy as sc
from matplotlib import rcParams
import sccross
rcParams["figure.figsize"] = (4, 4)
PATH = "s01_preprocessing"
os.makedirs(PATH, exist_ok=True)
rna = anndata.read_h5ad("Saunders-2018.h5ad")
met = anndata.read_h5ad("Luo-2017.h5ad")
atac = anndata.read_h5ad("10x-ATA... | mcgilldinglab/scCross | data/unmatched_mouse_cortex/preprocess.py | preprocess.py | py | 2,006 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "matplotlib.rcParams",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "os.makedirs",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "anndata.read_h5ad",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "anndata.read_h5ad",... |
39804372033 | from core_operations.models import US_COUNTRY_CODE, NUMBER_OF_DAYS_IN_A_YEAR, LIST_OF_STATES_IN_US
from core_operations.models import FormattedPhoneNumberField, YearsOfWorkField
from django.db import models
import re
from datetime import date
from datetime import datetime
# from internal_users.models import InternalUse... | zjgcainiao/new_place_at_76 | talent_management/models.py | models.py | py | 12,604 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "faker.Faker",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.db.models.Model",
"line_number": 84,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 84,
"usage_type": "name"
},
{
"api_name": "django.db.mo... |
43190780850 | from openpyxl.styles import PatternFill, GradientFill
def set_fill_color_green(workbook):
# read
# http://openpyxl.readthedocs.io/en/stable/api/openpyxl.styles.fills.html
ws = workbook.active
a1 = ws['A1']
# 2 different fill types
fill = PatternFill("solid", fgColor="DDDDDD")
fill = Gradie... | simkimsia/ug-read-write-excel-using-python | examples/c09_2_fill_color/openpyxl/index.py | index.py | py | 498 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "openpyxl.styles.PatternFill",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "openpyxl.styles.GradientFill",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "openpyxl.styles.PatternFill",
"line_number": 12,
"usage_type": "call"
}
] |
10713162688 | import os
import mujoco_py
import numpy as np
from mujoco_py import functions
from learn_seq.utils.general import get_mujoco_model_path
# object indicator in mujoco
MJ_SITE_OBJ = 6 # `site` objec
MJ_BODY_OBJ = 1 # `body` object
MJ_GEOM_OBJ = 5 # `geom` object
# geom types
MJ_CYLINDER = 5
MJ_BOX = 6
MJ_MESH = 7
... | deanpham98/learn-seq | learn_seq/utils/mujoco.py | mujoco.py | py | 9,113 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "learn_seq.utils.general.get_mujoco_model_path",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name"... |
27053376609 | import pytest
from oddEvenList import Solution
class ListNode:
def __init__(self, x):
self.val = x
self.next = None
@pytest.mark.parametrize("nums, expected", [
([1, 2, 3, 4, 5], [1, 3, 5, 2, 4]),
([2, 1, 3, 5, 6, 4, 7], [2, 3, 6, 7, 1, 5, 4])
])
def test_oddEvenList(nums, expected):
... | ikedaosushi/leetcode | problems/python/tests/test_oddEvenList.py | test_oddEvenList.py | py | 613 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "oddEvenList.Solution",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 11,
"usage_type": "attribute"
}
] |
16848170368 |
from app import app, mail
from . import login_required, bad_request, created_request
from flask import jsonify, request
from db import db, User, Department, Role, UserRoles
from sqlalchemy.exc import IntegrityError
from setting import MAX_USER_PER_PAGE
from dateutil import parser as TimeParser
from secrets import toke... | hackernese/Idea-Manager | backend/api/routes/user.py | user.py | py | 17,364 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.request.get_json",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "flask.request",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "flask.request.session",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "flask... |
788805808 | import math
import numpy as np
import cv2
import settings
from point import polarvec, Point
class EV3Map:
def __init__(self):
self.settings = settings.SettingsRegistry['global']
self.image = cv2.imread(self.settings.load_map)
self.gray = cv2.cvtColor(self.image, cv2.COLOR_RGB2GRAY)
... | pfnet-research/chainer-ev3 | simulator2d/map.py | map.py | py | 1,986 | python | en | code | 8 | github-code | 36 | [
{
"api_name": "settings.SettingsRegistry",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "cv2.imread",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_RGB2... |
34547539160 | import cv2
# 选择第二只摄影机
cap = cv2.VideoCapture(0)
while(True):
# 从摄影机撷取一张影像
ret, frame = cap.read()
cv2.putText(frame, "aaqqqqqqqqqqqq", (0,100), cv2.FONT_HERSHEY_SIMPLEX,1, (0,0,0))
# 显示图片
cv2.imshow('frame', frame)
cv2.waitKey(1)
if cv2.getWindowProperty('frame', cv2.WND_PROP_AUTOSIZE) == -1:
... | Amenoimi/Simple_OCR | cv.py | cv.py | py | 456 | python | zh | code | 0 | github-code | 36 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.putText",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.FONT_HERSHEY_SIMPLEX",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "cv2.imshow",
... |
5217107857 | import pandas as pd
import geopandas as gpd
import matplotlib.pyplot as plt
import contextily as ctx
from adjustText import adjust_text
from matplotlib.offsetbox import OffsetImage, AnnotationBbox
file_path = '/Users/jakewatembach/Desktop/meteoriteLandings/Meteorite_Landings.csv'
df = pd.read_csv(file_path)
df['mass ... | jakeww/meteoriteLandings | landings.py | landings.py | py | 3,775 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "geopandas.GeoDataFrame",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "geopandas.points_from_xy",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "geopan... |
70387200423 | import os
import torch
import timm
import numpy as np
from simple_network import SimpleNetwork
from torch.utils.data import DataLoader
from torchvision.datasets import ImageFolder
from torchvision.transforms import Compose, Normalize, ToTensor, Resize
from torchvision.models import resnet18
#from torch import nn
from n... | Hamster-yang/FL_chest-xray_timm | app/custom/chestxrayvalidator.py | chestxrayvalidator.py | py | 5,254 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "nvflare.apis.executor.Executor",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "nvflare.app_common.app_constant.AppConstants.TASK_VALIDATION",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "nvflare.app_common.app_constant.AppConstants",
... |
29224787647 | from flask import Flask, request, render_template, redirect, flash
from flask_sqlalchemy import SQLAlchemy
import requests
import sys
import os
app = Flask(__name__)
app.config.from_pyfile("config.py")
db = SQLAlchemy(app)
def return_data_from_api(city_name_value):
api_id = "24034c2fc253da6475cd74bc0b96cf5a"
... | artem-chigin/weather_app | program.py | program.py | py | 2,458 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path.join",
... |
24159423427 | import subprocess
import os
import requests
KEY = 'trnsl.1.1.20161216T160124Z.4a07c4b6a2f01566.ade260e6c684818698899fd08a9c15d72faca843'
URL = 'https://translate.yandex.net/api/v1.5/tr.json/translate'
# путь к файлу с текстом;
directory_source = 'Source'
# путь к файлу с результатом;
directory_result = 'Result'
# ... | pashkovsky/PY2PM | PY3_2/Homework/translator_files.py | translator_files.py | py | 3,013 | python | ru | code | 0 | github-code | 36 | [
{
"api_name": "subprocess.run",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 3... |
22354333965 | import os
import re
import typing
import pymysql
import mlrun.utils
class MySQLUtil(object):
dsn_env_var = "MLRUN_HTTPDB__DSN"
dsn_regex = (
r"mysql\+pymysql://(?P<username>.+)@(?P<host>.+):(?P<port>\d+)/(?P<database>.+)"
)
check_tables = [
"projects",
# check functions as we... | mlrun/mlrun | server/api/utils/db/mysql.py | mysql.py | py | 3,216 | python | en | code | 1,129 | github-code | 36 | [
{
"api_name": "mlrun.utils.utils",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "mlrun.utils",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "mlrun.utils.utils.retry_until_successful",
"line_number": 27,
"usage_type": "call"
},
{
"api_n... |
44648666543 | from rest_framework.documentation import include_docs_urls
from django.contrib import admin
from django.urls import path, re_path, include
from django.conf.urls import url
urlpatterns = [
path('admin/', admin.site.urls),
]
urlpatterns += [
path(
'drf-docs/',
include_docs_urls(
tit... | Endlex-net/Easting_kanban | kanban/urls.py | urls.py | py | 539 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "dja... |
15538629853 | #!/usr/bin/env python
# coding: utf-8
# In[63]:
from PIL import Image, ImageDraw
import numpy as np
import math
import imageio
from copy import deepcopy
import cv2
def to_integral_image(img_arr):
"""
Calculates the integral image based on this instance's original image data.
"""
row_sum = np.zeros(... | lizihao1999/Viola-Jones | hw4.py | hw4.py | py | 9,985 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "numpy.zeros",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.multiply",
"line_number": 103,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_numbe... |
32432567007 | from django import template
from django.utils.translation import ugettext as _
from message.models import Message
from milestone.models import Milestone
from lib import utils
register = template.Library()
def displaystatistic(context, name, trans_name, number):
icons_folder = '/media/basepage/images/icons/'
ic... | joaquimrocha/Rancho | rancho/lib/templatetags/displaystatistic.py | displaystatistic.py | py | 794 | python | en | code | 7 | github-code | 36 | [
{
"api_name": "django.template.Library",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 7,
"usage_type": "name"
}
] |
35802636506 | from tkinter import *
from PyQt4 import QtGui,QtCore
import cv2
import re
from selenium.webdriver import Firefox
from selenium.webdriver.firefox.options import Options
from selenium.webdriver.common.by import By
class Window(QtGui.QMainWindow):
def __init__(self, parent=None):
super(Window,self).__... | lucifer6666/Reverse-Image-Search | revimage.py | revimage.py | py | 3,601 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "PyQt4.QtGui.QMainWindow",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "PyQt4.QtGui",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "PyQt4.QtGui.QLabel",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "PyQt4.QtGui... |
70118415145 | import webcolors
from sklearn.cluster import KMeans
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from colormap import rgb2hex
import pandas as pd
from scipy.spatial import KDTree
class ColorNames:
WebColorMap = {}
WebColorMap["AliceBlue"] = "#F0F8FF"
WebColorMap["AntiqueWhite"]... | danydepo/ffs-backend | TrainAndTest/Color/color_detection.py | color_detection.py | py | 10,216 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "colormap.rgb2hex",
"line_number": 197,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 231,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 231,
"usage_type": "name"
},
{
"api_name": "sklearn.cluster.KMeans",... |
69905549866 | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
##############################################################################
"""Perform inference on a single imag... | chhari/tiredwebsite | infer_website.py | infer_website.py | py | 5,203 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "detectron.utils.c2.import_detectron_ops",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "detectron.utils.c2",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "cv2.ocl.setUseOpenCL",
"line_number": 47,
"usage_type": "call"
},
{
"a... |
5313775703 | import numpy as np
import cv2
import os.path as osp
from glob import glob
import matplotlib.pyplot as plt
from PIL import Image
from sklearn.metrics import confusion_matrix
import random
"""
return all gif frames as a Python list
"""
def load_gif(path):
im = Image.open(path)
n_frames = im.n_frames
count = ... | CS6220-YelpImageSearch/YelpImageSearch | evaluation/utils.py | utils.py | py | 3,045 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "PIL.Image.open",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number"... |
27254983972 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
------------------------------------------------------------------------------
Script to obtain uncertainties of heavy mass spectrum and widhts via bootstrap
Authors: A. Ramirez-Morales (andres.ramirez.morales@cern.ch) and
H. Garcia-Tecocoatzi
-------------... | Ailierrivero/bottom-baryonsFW-copy | scripts/bootstrap_three_quark.py | bootstrap_three_quark.py | py | 12,649 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.getcwd",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 2... |
15521725834 | '''
40. Combination Sum II
Given a collection of candidate numbers (candidates) and a target number (target), find all unique combinations in candidates where the candidate numbers sums to target.
Each number in candidates may only be used once in the combination.
Note:
All numbers (including target) will be positive... | MarshalLeeeeee/myLeetCodes | 40-combinationSum2.py | 40-combinationSum2.py | py | 3,071 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "collections.defaultdict",
"line_number": 63,
"usage_type": "call"
}
] |
23504518781 | import struct
from pathlib import Path
from npkpy.common import NPKError, NPKIdError, NPKMagicBytesError
from npkpy.npk.npk_constants import CNT_HANDLER
from npkpy.npk.cnt_basic import BYTES_LEN_CNT_ID, BYTES_LEN_CNT_PAYLOAD_LEN
from npkpy.npk.npk_file_basic import FileBasic
MAGIC_BYTES = b"\x1e\xf1\xd0\xba"
BYTES_LE... | botlabsDev/npkpy | npkpy/npk/npk.py | npk.py | py | 3,324 | python | en | code | 13 | github-code | 36 | [
{
"api_name": "npkpy.npk.npk_file_basic.FileBasic",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "struct.unpack_from",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "st... |
73360141224 | # django imports
from django.contrib.auth.decorators import login_required
from django.contrib.contenttypes.models import ContentType
from django.db import IntegrityError
from django.http import HttpResponse
from django.shortcuts import render_to_response
from django.template import RequestContext
from django.template.... | django-lfs/lfs | manage/views/lfs_portlets.py | lfs_portlets.py | py | 6,283 | python | en | code | 23 | github-code | 36 | [
{
"api_name": "django.contrib.contenttypes.models.ContentType.objects.get_for_model",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "django.contrib.contenttypes.models.ContentType.objects",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.c... |
19449055889 | from django.db import models
import re
import statistics
from .direct_indicator import DirectIndicator
from .question_response import QuestionResponse
find_square_bracket_keys = re.compile(r"\[(.*?)\]")
class IndirectIndicator(models.Model):
topic = models.ForeignKey('Topic', related_name='indirect_indicators',... | sergioespana/openESEA | backend/core/models/indirect_indicator.py | indirect_indicator.py | py | 11,653 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "re.compile",
"line_number": 8,
"usage_type": "call"
},
{
"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.mode... |
40171037803 | import pygame
import config
pygame.init()
class Text:
""" Text class handles all text displays on a game window,
which is passed by the game handle. Each instance of Text
is its own type of text (e.g. velocity output, position output),
allowing for easy enabling and disabling of text disp... | tbone-iii/Car-Driving-Simulator | text_display.py | text_display.py | py | 3,644 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pygame.init",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "config.WHITE",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "config.BLACK",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "config.default_font_si... |
2285190842 | from setuptools import setup
VERSION = "1.0.3"
setup(
name="builder",
version=VERSION,
license="Apache License 2.0",
author="The Open Peer Power Authors",
author_email="hello@openpeerpower.io",
url="https://openpeerpower.io/",
description="Opp.io wheels builder form Open Peer Power.",
... | actions-marketplace-validations/OpenPeerPower_wheels | setup.py | setup.py | py | 989 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "setuptools.setup",
"line_number": 5,
"usage_type": "call"
}
] |
4957095145 | import pytest
@pytest.mark.asyncio
async def test_healthcheck(test_client_rest):
response = await test_client_rest.get("http://test/healthcheck")
assert response.status_code == 200
data = response.json()
assert data == {"status": "ok"}
| riuzaver/market-temp-test | {{cookiecutter.project_name}}/tests/test_healthcheck.py | test_healthcheck.py | py | 255 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pytest.mark",
"line_number": 4,
"usage_type": "attribute"
}
] |
20522871772 | from django.shortcuts import render, get_object_or_404
from .models import Project
from django.db.models import Q
# Create your views here.
def render_producto(request):
print(request.GET)
queryset = request.GET.get("buscar")
print(queryset)
productos = Project.objects.all()
if queryset:
... | Eliothd2/Imprentala-Website | productos/views.py | views.py | py | 871 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "models.Project.objects.all",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "models.Project.objects",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "models.Project",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": ... |
19150802136 | '''
Reference:
[1] Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
Deep Residual Learning for Image Recognition. arXiv:1512.03385
'''
import torch
class ShallowResNetBlock(torch.nn.Module):
'''
input -> Conv3x3 -> BN -> ReLU -> Conv3x3 -> BN + ShortCut -> Relu
| ... | zllz4/Face-Recognition | models/resnet.py | resnet.py | py | 11,268 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "torch.nn",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Conv2d",
"lin... |
39915116580 | import pandas as pd
import numpy as np
import datetime as dt
import os
import matplotlib.pyplot as plt
from util import get_data, plot_data
# prepare the data
def normalize_stocks(prices):
prices.fillna(method='ffill', inplace=True)
prices.fillna(method='bfill', inplace=True)
return prices / prices.iloc[0]... | EntingHsiao/Stock_trading_with_ML | indicators.py | indicators.py | py | 7,063 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "pandas.DataFrame",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",... |
42406250255 | import json
from flask import url_for
from flask_login import current_user
from flask_mail import Message
from bd_project import mail
from bd_project.models import OrderList, Product
from bd_project.classes import UserHelper
from bd_project.models import Order
def add_current_ordered_products(order_products_by_curre... | Braindead3/bd_project | bd_project/users/utils.py | utils.py | py | 2,407 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "bd_project.models.OrderList",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "bd_project.models.Product.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "bd_project.models.Product",
"line_number": 15,
"usage_type": "name"
},
{
... |
11378302691 | from functools import reduce
n = int(input())
data = list(map(int, input().split()))
def mean(data):
sum = reduce(lambda x, y: x + y, data)
return sum / len(data)
def stdev(data):
mu = mean(data)
sq_sq_dists_mean = list(map(lambda x: (x - mu) ** 2, data))
sum_sq_dists_mean = reduce(lambda x, y:... | scouvreur/hackerrank | 10-days-of-statistics/python/day_1_3.py | day_1_3.py | py | 427 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "functools.reduce",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "functools.reduce",
"line_number": 15,
"usage_type": "call"
}
] |
39964545331 | import openai
openai.api_key = "[YOUR_OPENAI_API]"
chat_history = [{"role": "system", "content": "You are a assistant."}]
def bot_message(input):
chat_history.append({"role": "user", "content": f"{input}"})
chat = openai.ChatCompletion.create(
model="gpt-3.5-turbo",
messages=chat_history
... | ingyunson/gpt_chatbot | GPT_chatbot.py | GPT_chatbot.py | py | 1,411 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "openai.api_key",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "openai.ChatCompletion.create",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "openai.ChatCompletion",
"line_number": 9,
"usage_type": "attribute"
}
] |
43046744636 | import typing
from datetime import datetime
from discord import Activity, ActivityType, Embed, Game, HTTPException, Status, Member, User, TextChannel, VoiceChannel, Role, Invite, Game, Emoji, PartialEmoji, Colour
from discord.ext import commands
from discordbot.botmodules import serverdata, audio
from discordbot.conf... | AlexeiSur/bot12345 | discordbot/bot.py | bot.py | py | 8,041 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "rich.traceback.install",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "rich.pretty.install",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "discord.Member",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "discord.Use... |
694411018 | import datetime
from airflow import models
from airflow.operators.bash_operator import BashOperator
from airflow.operators.dummy_operator import DummyOperator
default_dag_args = {
# https://airflow.apache.org/faq.html#what-s-the-deal-with-start-date
'start_date': datetime.datetime(2020, 4, 27)
}
dataset = 'ai... | cs327e-spring2020/snippets | country2.py | country2.py | py | 1,245 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "datetime.datetime",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "airflow.models.DAG",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "airflow.models",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "airflow.operators.... |
37220479023 | import json
with open('settings.json','r',encoding='utf8') as token:
data = json.load(token)
import requests
import subprocess
from flask import Flask, render_template, request, abort, make_response, jsonify
from datetime import datetime, timezone, timedelta
import firebase_admin
from firebase_admin import credenti... | NTX8205/LineBot | flask_server.py | flask_server.py | py | 10,110 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "json.load",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "firebase_admin.credentials.Certificate",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "firebase_admin.credentials",
"line_number": 10,
"usage_type": "name"
},
{
"api_na... |
12435271099 | from urllib.request import urlopen
from bs4 import BeautifulSoup
import requests
import csv
import openpyxl
import json
import time
from datetime import datetime
from random import random
start_time = time.time()
print('scraping the site')
test = []
options = []
answer = ''
image_source = []
choices = None
try:
ye... | charlesinto/quizAppQuestions | index.py | index.py | py | 3,056 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "time.time",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "random.random",
"line_nu... |
38799393419 | from discord import Interaction
import bdg
import enum
class FormatStyle(enum.Enum):
UPPER = 0
LOWER = 1
REVERSED = 2
SPACED = 3
HACKER = 4
IRONIC = 5
hacker_dict = {
"a": "4",
"s": "5",
"o": "0",
"e": "3"
}
class FormatCommand(bdg.BdgCommand):
header = {
'name': "formatar",
'description'... | DanielKMach/BotDusGuri | src/commands/fun/format.py | format.py | py | 1,487 | python | pt | code | 1 | github-code | 36 | [
{
"api_name": "enum.Enum",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "bdg.BdgCommand",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "discord.Interaction",
"line_number": 32,
"usage_type": "name"
}
] |
3954925048 | # -*- codind: utf-8 -*-
import os, sys, random, argparse, time
import math
import json
import codecs
import math
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch import optim
install_path = os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspat... | ZiJianZhao/Unaligned-SLU | base/stc/main.py | main.py | py | 7,763 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "os.path.abspath",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"l... |
73581418663 | from flask import Flask, render_template, jsonify
from database import engine, text, load_job_from_db
app = Flask(__name__)
def load_jobs_from_db():
try:
with engine.connect() as conn:
result = conn.execute(text("select * from jobs"))
column_names = result.keys()
jobs = []
for row in re... | Maulikdavra/mdfinance-carrer-webiste-v2 | app.py | app.py | py | 974 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "database.engine.connect",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "database.engine",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "database.text",
... |
13285114730 | from flair.data import Corpus
from flair.datasets import ColumnCorpus
from flair.embeddings import TokenEmbeddings, WordEmbeddings, StackedEmbeddings
from flair.models import SequenceTagger
from flair.trainers import ModelTrainer
from pathlib import Path
columns={0: 'text', 1: 'label'}
dataPath='../data/'
test_file=in... | gfreitag/Recipe-Project | python/tester_script.py | tester_script.py | py | 1,031 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flair.data.Corpus",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "flair.datasets.ColumnCorpus",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flair.embeddings.WordEmbeddings",
"line_number": 17,
"usage_type": "call"
},
{
"api... |
10762352030 | import os
import cv2
import rclpy
from rclpy.node import Node
from sensor_msgs.msg import Image
from cv_bridge import CvBridge
from handy_msgs.msg import Float32Stamped
import readchar
import json
class MyNode(Node):
def __init__(self, name, published_image):
super().__init__(name)
self.image_publi... | bresilla/webo | webots_ros2_pioneer3at/webots_ros2_pioneer3at/utils/image_player.py | image_player.py | py | 2,641 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "rclpy.node.Node",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "sensor_msgs.msg.Image",
"line_number": 14,
"usage_type": "argument"
},
{
"api_name": "handy_msgs.msg.Float32Stamped",
"line_number": 15,
"usage_type": "argument"
},
{
"api_n... |
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