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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
649139542 | import numpy as np
import scipy.linalg as la
import dolfin as dl
import sys, os
dir_path = os.path.dirname(os.path.realpath(__file__))
sys.path.append( dir_path+"/../../")
from hippylib import *
from reducedHessianSVD import *
from reducedGradient import *
from preconditionedHessianSVD import *
# import matplotlib.pypl... | null | SampleGeneration/generateSamplesUniform_v2.py | generateSamplesUniform_v2.py | py | 10,027 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.dirname",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"lin... |
253030912 | import sys
import matplotlib.pyplot as plt
import csv
def main():
f = []
for arg in sys.argv[1:]:
f.append(arg)
print(arg)
x = []
y = []
x1 = []
y1 = []
with open(f[0], 'r') as csvfile:
plots = csv.reader(csvfile, delimiter=' ')
for row in plots:
... | null | py_plot.py | py_plot.py | py | 693 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.argv",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "csv.reader",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line... |
425157214 | from setuptools import setup
with open('README.md') as f:
long_description = f.read()
setup(
name='async-8ball',
version='0.1',
description='Asynchronous 8ball response generator.',
long_description=long_description,
url='https://github.com/Cryptex-github/async-8ball',
author='cryptex',
... | null | setup.py | setup.py | py | 396 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "setuptools.setup",
"line_number": 6,
"usage_type": "call"
}
] |
465732051 | import odl
import numpy as np
import matplotlib.pyplot as plt
from LDDMM_gd import LDDMM_gd_solver
#from skimage.measure import compare_ssim, compare_psnr
def ssd(image_a, image_b):
"""Compute the sum of squared differences for two gray-valued images.
The model is:
.. math:: {1/2}... | null | odl-LDDMM/call_LDDMM.py | call_LDDMM.py | py | 4,367 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.linalg.norm",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.linalg",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "numpy.rot90",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.imr... |
184899526 | # encoding:utf-8
import os
import copy
import torch
import torch.nn as nn
from addict import Dict
from ...utils import parse_setting
from ...nn import BasicBlock, Decoder, APNB
from ...nn import Fuse_Block, FCNHead
from ..backbone import get_resnet18
# RFUNet: Res Fuse U-Net
__all__ = ['RFUNet', 'get_rfunet']
class... | null | encoding/models/sseg/rfunet.py | rfunet.py | py | 5,793 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.nn.Module",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "utils.parse_setting",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "backbone.get_resnet... |
302564449 | import json
import pytz
import ujson
import datetime
undefined = object()
JSON_DATE_FORMAT = '%Y-%m-%d %H:%M:%S'
def read(text):
try:
return ujson.decode(text)
except Exception as e:
raise DecodeError(e)
def read_number_list(text):
return [int(i) for i in read(text)]
def write(obj, e... | null | libs/jsonist/__init__.py | __init__.py | py | 1,808 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "ujson.decode",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "ujson.encode",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
... |
529059611 | import csv
import os
from datetime import date
from typing import List
from sqlalchemy import desc, asc
from sqlalchemy.engine import Engine
from sqlalchemy.orm.exc import NoResultFound, MultipleResultsFound
from werkzeug.security import generate_password_hash
from sqlalchemy.orm import scoped_session
from flask imp... | null | csflix/adapters/database_repository.py | database_repository.py | py | 8,920 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sqlalchemy.orm.scoped_session",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "flask._app_ctx_stack.__ident_func__",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "flask._app_ctx_stack",
"line_number": 24,
"usage_type": "name"
}... |
148747158 | # -*- coding: utf-8 -*-
from django.core.mail import send_mail
from django.conf import settings
# from django.contrib import messages
from django.http.response import HttpResponseRedirect
from django.shortcuts import render, get_object_or_404
from payments.models import GameProducts, PaymentData
from payments.pay_form... | null | payments/views.py | views.py | py | 3,461 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "landing.models.Informer.objects.all",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "landing.models.Informer.objects",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "landing.models.Informer",
"line_number": 15,
"usage_type": "name... |
308192976 | #!/cust/soe/opt/python/2.7.3/bin//python
from PIL import Image
import json
import logging
import requests
import operator
from io import StringIO, BytesIO
import sys
sys.path.append('/Users/bburn1/development/scripts/trunk')
import envutil
class EnvironmentTester():
def __init__(self, ecn):
self.ecn = ecn
ec... | null | envcheck.py | envcheck.py | py | 13,231 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.path.append",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "envutil.envkey",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_n... |
476826049 | """
Challenge utility functions
"""
import datetime
import json
import logging
import sys
import urllib
import synapseclient
from synapseclient.annotations import to_submission_status_annotations
from synapseclient.annotations import is_submission_status_annotations
try:
from synapseclient.core.exceptions import S... | null | challengeutils/utils.py | utils.py | py | 22,479 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.basicConfig",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "synapseclient... |
183461381 | # -*- coding: utf-8 -*-
# FLO-2D Preprocessor tools for QGIS
# Copyright © 2021 Lutra Consulting for FLO-2D
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, o... | null | flo2d/flo2d_tools/schematic_tools.py | schematic_tools.py | py | 100,923 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "operator.itemgetter",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "grid_tools.spatial_index",
"line_number": 129,
"usage_type": "call"
},
{
"api_name": "qgis.core.QgsFeatureRequest",
"line_number": 159,
"usage_type": "call"
},
{
"api_na... |
444164544 | import threading
import urllib
from threading import Thread
from tornado.ioloop import IOLoop
import asyncio
try:
import dronekit
from dronekit import LocationGlobalRelative, VehicleMode
except Exception as e:
print(e)
from control_pane.models import History
from control_pane.models import Drone as DroneMo... | null | control_pane/lib/DroneModules/DroneDirectConnection.copy.py | DroneDirectConnection.copy.py | py | 28,674 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "inspect.stack",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "control_pane.models... |
14825031467 | from django.urls import include, path
from rest_framework import routers
from github_projects import views
router = routers.DefaultRouter()
router.register('projects', views.ProjectEntryViewSet)
router.register('webhooks', views.WebhookConfigViewSet)
app_name = 'github_projects'
urlpatterns = [
path('', include(r... | takenbyforce/django_example_site | github_projects/urls.py | urls.py | py | 336 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "rest_framework.routers.DefaultRouter",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "rest_framework.routers",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "github_projects.views.ProjectEntryViewSet",
"line_number": 6,
"usage_type": "at... |
45988665504 | from django.shortcuts import render, redirect, reverse, get_object_or_404
from django.contrib import messages
from django.contrib.auth.decorators import login_required
from django.db.models import Q
from .models import Project
from .forms import ProjectForm
def portfolio(request):
""" A view to show the portfolio... | Robert-Clark-1990/MS4_RCD | portfolio/views.py | views.py | py | 3,648 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "models.Project.objects.all",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "models.Project.objects",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "models.Project",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": ... |
74985176693 | from matplotlib import pyplot
import statistics
import csv
protocol = "coap"
ms = "1000"
filename = f"data/performance_analysis_{protocol}_{ms}ms.csv"
file = open(filename)
reader = csv.reader(file)
times = []
hashtable = {}
if protocol == "http":
for line in reader:
try:
if line[0] == "200":
times.append... | fabbrus97/iot_air_quality_monitoring | performance_eval/protocols/analyze_perf.py | analyze_perf.py | py | 1,029 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "csv.reader",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "statistics.mean",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "statistics.median",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",... |
4853067054 | import numpy as np
from keras.models import load_model
import cv2
import os
from utils import file_generator
from utils import read_section
properties = read_section("part4.ini", "part4")
model_dir = properties["model.save.dir"]
model_file = properties["model.save.name"]
faces_out_dir = properties["real.faces.out.dir"... | tomer-DL/face_or_not | part4/deep_sort.py | deep_sort.py | py | 941 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "utils.read_section",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "keras.models.load_model",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "utils.file_generator",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "cv2.im... |
42071713291 | import os
from flask import Flask, url_for, render_template, redirect, session
from authlib.integrations.flask_client import OAuth
import sys
sys.path.append(f"{os.getcwd()}/user_login") # should be appended
from user_db import db, User, init_db_table, add_user, query_user_with_username, delete_user_with_username,... | komms/flask_gmail_login | user_login/app.py | app.py | py | 1,701 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.path.append",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number":... |
7440728782 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from __future__ import print_function
import logging
import os
from django.template.loaders import app_directories
from django.conf import settings
from django.utils._os import safe_join
log = logging.getLogger(__name__)
class AgileSiteAppDirectorie... | pivotal-energy-solutions/django-agilesites | django_agilesites/loaders.py | loaders.py | py | 2,092 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.template.loaders.app_directories.Loader",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "django.template.loaders.app_directories",
"line_number": 17,
"usage... |
37856598956 | from ..data import CurrenciesData
from ..models import Currency, CurrencyCode, Currencies
async def fetch_currencies(self) -> Currencies:
"""Retrieves a list of currencies being traded on the dEX."""
if self.currencies != None:
return self.currencies
if self.params.network == None:
raise... | AktaryTech/xrpl-dex-sdk-python | xrpl_dex_sdk/methods/fetch_currencies.py | fetch_currencies.py | py | 1,295 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "models.Currencies",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "data.CurrenciesData",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "models.CurrencyCode.from_string",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": ... |
9085483383 | #!/usr/bin/env python3
from uuid import uuid4
from .particles import Electron, Proton, Neutron
from .registery import RegisterSubClasses
class Element(object, metaclass= RegisterSubClasses):
def __init__(self, *args, **kwargs):
self.id= uuid4() # id(self)
self.electrons= [Electron()] * int(self.a... | richardjmarini/ChemWork | chemistry/elements.py | elements.py | py | 771 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "registery.RegisterSubClasses",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "uuid.uuid4",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "particles.Electron",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "particles.P... |
8842420531 | import numpy as np
import cv2 as cv
# testes + testes1
img = cv.imread("/home/roza/PycharmProjects/PoC1/imgs/bar15.jpeg")
# 4 a 15 descobre a regiao do barcode
gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)
gradX = cv.Sobel(gray, ddepth=cv.CV_32F, dx=1, dy=0, ksize=-1)
gradY = cv.Sobel(gray, ddepth=cv.CV_32F, dx=0, dy=1, k... | Vicrrs/barcode_and_qrcode_reader | testes/script.py | script.py | py | 1,474 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "cv2.imread",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "cv2.Sobel",
"line_nu... |
5679521136 | from ...configuration_utils import PretrainedConfig
from ...utils import logging
logger = logging.get_logger(__name__)
GPT_NEO_PRETRAINED_CONFIG_ARCHIVE_MAP = {
"EleutherAI/gpt-neo-1.3B": "https://huggingface.co/EleutherAI/gpt-neo-1.3B/resolve/main/config.json",
# See all GPTNeo models at https://huggingface... | dropreg/R-Drop | huggingface_transformer_src/src/transformers/models/gpt_neo/configuration_gpt_neo.py | configuration_gpt_neo.py | py | 7,814 | python | en | code | 834 | github-code | 21 | [
{
"api_name": "utils.logging.get_logger",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "utils.logging",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "configuration_utils.PretrainedConfig",
"line_number": 13,
"usage_type": "name"
}
] |
5652742270 | import json
from os.path import dirname, join
import pytest
from alembic import command
from alembic.config import Config
from flask.testing import FlaskClient
from roadhog import roadhog
class HTTPClient(FlaskClient):
def open(self, *args, **kwargs):
response = super(HTTPClient, self).open(*args, **kwa... | Kozea/roadhog | roadhog/tests/conftest.py | conftest.py | py | 4,508 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.testing.FlaskClient",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "json.loads",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "roadhog.road... |
22185239996 | # import libraries
import os
from tkinter import *
from tkinter import filedialog
from pygame import mixer
import numpy as np
import argparse
import cv2
from playsound import playsound
import time
# import keyboard
from keras.models import Sequential
from keras.layers import Dense, Dropout, Flatten
from keras.layers i... | sonuyadav5504/EBMP | emotion.py | emotion.py | py | 4,870 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.environ",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "pygame.mixer.init",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "pygame.mixer",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "cv2.ocl.setUseOpenCL",... |
35049339258 | from urlparse import urlparse
from django.contrib.auth.models import User
from django.db.models import Q
from rideplanner.models import (
Ride,
UserProfile,
RideMembership,
RideInvitation,
RiderGroup,
RiderGroupInvitation,
RiderGroupMembership,
RiderGroupRideMembership,
RiderLice... | gthmb/rideplanner_api | rideplanner/views.py | views.py | py | 5,074 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "rest_framework.mixins.CreateModelMixin",
"line_number": 48,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.mixins",
"line_number": 48,
"usage_type": "name"
},
{
"api_name": "rest_framework.mixins.RetrieveModelMixin",
"line_number": 48,
"usage_ty... |
25942215226 | import logging
import os
from collections import namedtuple
import numpy as np
from vecto.utils.data import get_uncompressed_size
from vecto.utils.metadata import WithMetaData
from .iterators import (DirIterator, FileIterator, FileLineIterator,
LoopedLineIterator, SequenceIterator,
... | vecto-ai/vecto | vecto/corpus/corpus.py | corpus.py | py | 9,696 | python | en | code | 62 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "vecto.utils.metadata.WithMetaData",
"line_number": 22,
"usage_type": "name"
},
{
"api_na... |
69907307252 | # -*- coding: utf-8 -*-
"""
Created on Tue May 26 09:52:05 2020
词向量
复现论文Distributed Representations of Words and Phrases and their Compositionalty中训练词向量的方法
实现Skip-gram模型，并且适用论文中noice contrastive sampling的目标函数
正例和反例
对一个中心词，每出现一个正确的周围词，都要出现K个错误的周围词，使得正确的周围词与中心词的距离越小越好，错误的周围词与中心词的距离越大越好。
1、准备数据，设定参数；
2、创建单词表，这里选取常见的MAX_V... | ThetaQing/ProjectOfPytorch | Num2/word-embendding-live.py | word-embendding-live.py | py | 7,336 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "torch.cuda.is_available",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 42,
"usage_type": "attribute"
},
{
"api_name": "random.seed",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed... |
27722131643 | import requests
import json
USERNAME = 'svenskiy'
class GitHubUserAPI():
"""Класс для работы с API GitHub"""
URL = "https://api.github.com"
def __init__(self, username, **kwargs):
self.username = username
self.last_response = ''
def _get_request(self, req):
buffer = request... | svenskiy/de_education | web_scraping/0_homework.py | 0_homework.py | py | 897 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 31,
"usage_type": "call"
}
] |
6563172598 | #! /usr/bin/env python3
# Art Nasamran <cnasamran@health.ucsd.edu>
# Extracts P25 insert sizes from qualimapReports
# Calculates % >=Q30 from q30.txt
# Calculates % alignment from subsampled_mapping_stats.tsv
# Takes 4 arguments:
# 1. qualimapReports_paths.txt
# 2. q30_reads_paths.txt
# 3. subsampled_mapping_stats_pat... | ucsd-ccbb/C-VIEW | src/custom_gen_stats_multiqc.py | custom_gen_stats_multiqc.py | py | 8,330 | python | en | code | 9 | github-code | 21 | [
{
"api_name": "os.path.basename",
"line_number": 85,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 85,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 85,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_... |
73772111732 | import sys
sys.path.append('../')
import torch.nn as nn
import torch.nn.functional as F
from utils import euclidean_dist
class ClassifierNet(nn.Module):
def __init__(self,
hid_dim,
z_dim):
super(ClassifierNet, self).__init__()
self.embedding_layer_dict = nn.Module... | Jorewang/CAMM | model/classifier.py | classifier.py | py | 1,751 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "sys.path.append",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Module",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_... |
37350728490 | #!/usr/bin/env python3
import sys
from os import path, listdir
import yaml
if (sys.version_info.minor < 8,):
from typing_extensions import Final
from typing import Tuple
else:
from typing import Final, Tuple
import click
def __generate_asciidoc(items: dict, config: dict) -> str:
"Generate acsciidoc f... | jdangelo-rh/pruebacer | scripts/generate-healthcheck.py | generate-healthcheck.py | py | 17,451 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.version_info",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "typing.Final",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 429,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_n... |
12997475145 | from collections import Counter
x = []
y = []
for i in range(3):
thing = input().split(" ")
x.append(thing[0])
y.append(thing[1])
cnt1 = Counter(x)
cnt2 = Counter(y)
xFound = 0
yFound = 0
for pos, value in cnt1.items():
if value == 1:
xFound = pos
for pos, value in cnt2.items():
if value == 1:
y... | JLMadsen/Kattis | cetvrta.py | cetvrta.py | py | 354 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.Counter",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 12,
"usage_type": "call"
}
] |
71855158773 | #Using the google API to get a geoJSON. We are using Dr. Chuck's subset of the API which has unlimited attempts
import urllib.request, urllib.parse, urllib.error
import json
import ssl
#Ignore ssl errors
ctx = ssl.create_default_context()
ctx.check_hostname = False
ctx.verify_mode = ssl.CERT_NONE
SERVICE_URL = "http... | EvilDoof/Python-programming | APIs/googleapi.py | googleapi.py | py | 965 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "ssl.create_default_context",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "ssl.CERT_NONE",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "urllib.request.parse.urlencode",
"line_number": 22,
"usage_type": "call"
},
{
"api_n... |
43577438181 | # -*- coding: utf-8 -*-
import pandas as pd
import plotly.graph_objects as go
from sklearn.preprocessing import OrdinalEncoder
from sklearn.cluster import KMeans
from psycopg2 import (connect)
from get_data_ep5 import update_req_ep5
def db_connecting_df():
update_req_ep5()
conn = connect("host='local... | Mousasan97/RODI_Final | JAM/make_graphs.py | make_graphs.py | py | 8,303 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "get_data_ep5.update_req_ep5",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "psycopg2.connect",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "sklearn... |
10203116510 | import ast
import re
from os.path import join
from setuptools import find_packages, setup
CLASSIFIERS = [
'Intended Audience :: Developers',
'License :: OSI Approved :: GNU Lesser General Public License v3 (LGPLv3)',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.4',
... | Ge0/okita-poc | setup.py | setup.py | py | 1,753 | python | en | code | 19 | github-code | 21 | [
{
"api_name": "re.compile",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "ast.literal_eval",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "setuptools.setup",
"line... |
39021538511 | from django.contrib import admin
from django.urls import path
from home import views
urlpatterns = [
path('', views.index, name='Home'),
path('about', views.about, name='About'),
path('cc', views.cc, name='Cadets Corner'),
path('alumni', views.alumni, name='Alumni'),
path('downloads', views.downloa... | shyiam/NCC-SGSITS | home/urls.py | urls.py | py | 398 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "home.views.index",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "home.views",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.urls.path",
... |
74535547894 | import matplotlib.pyplot as plt
import matplotlib.gridspec as gs
import seaborn as sns
import numpy as np
import plot_settings
import re
import utils
from os import path
from scipy.stats import entropy, gaussian_kde, iqr
from elephant.conversion import BinnedSpikeTrain
from elephant.statistics import isi, cv
from el... | BrainsOnBoard/frontiers_genn_paper | scripts/plot_microcircuit_accuracy.py | plot_microcircuit_accuracy.py | py | 16,879 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "re.match",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "pandas.read_csv",
"line_number": 44... |
1407451432 | import os
import time
import speech_recognition as sr
import pyttsx3
import datetime
# voice Engine Settings
engine = pyttsx3.init()
voices = engine.getProperty('voices')
engine.setProperty('voice', voices[4].id)
engine.setProperty('rate' , 200)
def speak(audio):
engine.say(audio)
engine.run... | anurajcreator/Python_Desktop_Assistant | AI.py | AI.py | py | 1,609 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "pyttsx3.init",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "speech_recognition.Recognizer",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "speech_recognition.Microphone",
"line_number": 22,
"usage_type": "call"
},
{
"api_name... |
16686904211 | """Wrapper around Baidu Wenxin Baizhong knowledge search."""
from __future__ import annotations
import json
from dataclasses import asdict, dataclass
from typing import List, Optional, Tuple
import numpy as np
import requests
from langchain.docstore.document import Document
from langchain.schema import BaseRetriever
... | ninehills/langchain-wenxin | src/langchain_wenxin/retrievers.py | retrievers.py | py | 4,606 | python | en | code | 63 | github-code | 21 | [
{
"api_name": "typing.Optional",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
... |
33383532460 | import json
import logging
import time
import alexa_response_builder
from iot_client import awsIoTClient
logger = logging.getLogger()
logger.setLevel(logging.DEBUG)
awsclient = None
telemetry_data = None
##############################
# Configurations
##############################
config = {
'host': '<REST API... | erviveksoni/alexa-controlled-drone | lambda_function/lambda_function.py | lambda_function.py | py | 6,858 | python | en | code | 10 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "iot_client.awsIoTClient",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "time.sleep... |
31963451871 | import socket, sys, ssl, time
from threading import Thread
from wsgiref.handlers import format_date_time
from datetime import datetime
blockedList = set()
BUFFSIZE = 1024
socketList = []
s = None
cache = {} #the actual cache
dates = {} #associated dates for url
cacheTiming = {} #for... | BurkeO/Advanced-Telecommunications | Assignment_1/proxy.py | proxy.py | py | 12,665 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.exit",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "socket.socket",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 81,
... |
74638983092 | import tkinter
from tkinter import *
from docx import Document
from docx.opc.coreprops import CoreProperties
from docx.enum.style import WD_STYLE_TYPE
from docx.shared import Inches, Cm, Pt
from tkinter import messagebox
top = tkinter.Tk()
top['bg']="white"
top.title("Resignation Letter Generator")
# ... | enishpandey/TKinter_Enish | doc_file.py | doc_file.py | py | 8,542 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "tkinter.Tk",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "docx.Document",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "docx.shared.Cm",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "docx.shared.Cm",
"line_nu... |
29554597307 | # -*- coding: utf-8 -*-
"""
Created on 十一月 07 15:52 2017
@author: aeloyq
### Notice:
The image data argumentation methods were copied from Keras
If this reference is illegal, please announce me by email aeloyq@outlook.com
I will deal with it in short time.
"""
import copy
import numpy as np
from nnbui... | aeloyq/NNBuilder | nnbuilder/data.py | data.py | py | 18,476 | python | en | code | 6 | github-code | 21 | [
{
"api_name": "PIL.Image",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "PIL.Image",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "PIL.Image.NEAREST",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image",
"line_numb... |
4154062481 | #!/usr/bin/env python
import pandas as pd
import numpy as np
from sklearn.preprocessing import StandardScaler
from sklearn.decomposition import PCA
from sklearn.decomposition import FastICA
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from sklearn.preprocessing import StandardScaler
from skl... | neelaksh007/CS7641_Assignment3 | Step2.py | Step2.py | py | 20,256 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.random.seed",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "numpy.int32",
... |
73537329011 | from xlutils.copy import copy
import xlrd
import xlwt
tem_excel = xlrd.open_workbook('/Users/createyoung/Downloads/CourseCode/S1/1-2/PracticeNeed/日统计.xls',
formatting_info=True)
tem_sheet = tem_excel.sheet_by_index(0)
new_excel = copy(tem_excel)
new_sheet = new_excel.get_sheet(0)
style... | createyoung/Homework | day5.py | day5.py | py | 959 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "xlrd.open_workbook",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "xlutils.copy.copy",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "xlwt.XFStyle",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "xlwt.Font",
"line... |
36381890021 | import requests
from bs4 import BeautifulSoup
url = "https://www.groupon.com"
page = requests.get(url)
soup = BeautifulSoup(page.content, "html.parser")
# print(soup)
offers = []
info_card = soup.find_all('div', class_='cui-content')
# print(info_card)
for div_tag in info_card:
# print(div_tag)
offer_title... | Python-Coding-Challenges-and-Projects/web-scraper | main.py | main.py | py | 2,705 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 7,
"usage_type": "call"
}
] |
22309343238 | import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
import utils.rotation as urotation
def plot_frames(data:np.ndarray, lim:float, sign:str, folder:str, dx_plot_dict:dict, sx_plot_dict:dict, plot_axis:bool=True,):
"""
Plot motion frames of the input data.
Input data c... | notlosca/auslan-classification | utils/visualization.py | visualization.py | py | 4,842 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "numpy.ndarray",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
... |
26029317422 | from typing import Tuple
import numpy as np
import torch
from torch.utils.data import Dataset
class SiamDataLoader(Dataset):
"""
This is dataset class for Siamese Network. Since the Feature Extractor
requires the data to be present in pairs, with single value depicting whether the
input values are sa... | pilambdagammarho/Anomaly-Detection-Benchmarking | dataset/modeldataloaders.py | modeldataloaders.py | py | 4,883 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"li... |
6973325143 | #!/usr/bin/env python3
import subprocess as sb
import os
import math
from matplotlib import pyplot as plt
import matplotlib
def submit_job(mpi_tasks):
out = sb.run(['sbatch', '-n', '%s' %mpi_tasks, 'jobscripts/strong_scaling.slurm'],stdout=sb.PIPE,stderr=sb.PIPE)
text=str()
for word in out.args:
... | mshaikh786/PComp101 | utils/strong_scaling.py | strong_scaling.py | py | 3,158 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "subprocess.run",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "subprocess.PIPE",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "subprocess.run",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"l... |
19761751749 | # https://leetcode.com/problems/decode-ways/
# 91. Decode Ways
# Recursion + Memoization
from functools import lru_cache
class Solution:
def numDecodings(self, s: str) -> int:
N = len(s)
@lru_cache
def helper(i):
if i == N:
return 1
... | Priyansh121096/leetcode | 91.py | 91.py | py | 1,123 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "functools.lru_cache",
"line_number": 11,
"usage_type": "name"
}
] |
403236773 | from __future__ import annotations
from collections import deque
from time import time
from typing import Deque, TYPE_CHECKING
from PySide2.QtCore import QLocale, Qt, Slot, Signal
from PySide2.QtGui import QFont
from PySide2.QtWidgets import QWidget, QProgressBar, QLCDNumber, QLabel, QDoubleSpinBox, QAbstractSpinBox,... | sing-group/livia-ui | livia_ui/gui/views/builders/DefaultTopToolBarBuilder.py | DefaultTopToolBarBuilder.py | py | 14,676 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "livia_ui.gui.views.builders.TopToolBarBuilder.TopToolBarBuilder",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "PySide2.QtCore.Signal",
"line_number": 39,
"usage_ty... |
39659399382 | """
Created on Tuesday March 31 2020
@author: Jeffrey J. Walker
iv_snapshot.py
This script uses the yahoo_option_chain_json to plot the volatility
surface and produce an implied probability distribution.
This script produces several plots as a diagnostic
See Malz 2014 for another way to get risk-neu... | jjwalkerwvu/finance | codes/options/iv_snapshot.py | iv_snapshot.py | py | 17,882 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "sys.path.insert",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 51,
"usage_type": "attribute"
},
{
"api_name": "sys.path.insert",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_nu... |
10506371140 | import argparse
import ConfigParser
import string
from datetime import datetime, timedelta
from spreadsheet import Spreadsheet
from message import TemplateMessage
from config import set_config_file
from moc_utils import get_absolute_path
from dateutil import parser as dateparser
def parse_user_row(cells):
"""Pars... | CCI-MOC/moc-openstack-tools | check-approved-requests.py | check-approved-requests.py | py | 11,390 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "config.items",
"line_number": 106,
"usage_type": "call"
},
{
"api_name": "config.items",
"line_number": 107,
"usage_type": "call"
},
{
"api_name": "message.TemplateMessage",
"line_number": 111,
"usage_type": "call"
},
{
"api_name": "moc_utils.get_ab... |
8172734270 |
from scrapy import Spider, Request
#from scrapy.selector import Selector
from scrapy_bar.items import ScrapyBarItem
class Scrapy_bar(Spider):
name = 'bar_spider'
allowed_urls = ['https://www.yelp.com/']
start_urls = ['https://www.yelp.com/search?find_desc=bars&find_loc=Manhattan,+NY&start=' + str(n) for n in rang... | salambda1987/Web-Scraping-Project | scrapy_bar/scrapy_bar/spiders/bar_spider.py | bar_spider.py | py | 3,457 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "scrapy.Spider",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "scrapy.Request",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "scrapy_bar.items.ScrapyBarItem",
"line_number": 53,
"usage_type": "call"
}
] |
1863411732 | #!/usr/bin/env python
"""Translate the Last.fm data files to JSON.
This script takes the various Last.fm data files and write them out as
JSON. It removes the Last.fm artist URLs.
Attributes:
ARTISTS (dict): A dictionary that stores information about the artists. The
variables are as follows:
... | Lab41/hermes | src/utils/lastfm_etl/lastfm.py | lastfm.py | py | 8,114 | python | en | code | 125 | github-code | 21 | [
{
"api_name": "csv.reader",
"line_number": 95,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 125,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 150,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_nu... |
19603967190 | """minor tweaks
Revision ID: c3f0a594293f
Revises: 2fb2a9f4c582
Create Date: 2023-10-24 13:49:53.458303
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'c3f0a594293f'
down_revision = '2fb2a9f4c582'
branch_labels = None
depends_on = None
def upgrade():
# #... | rawcsav/SpotifyFlask | migrations/versions/c3f0a594293f_minor_tweaks.py | c3f0a594293f_minor_tweaks.py | py | 821 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "alembic.op.batch_alter_table",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "alembic.op.batch_alter_table",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "... |
25027195406 | from chess import PIECE_TYPES, Board, popcount
from chess.engine import Score
def sign(score: Score) -> int:
if score.is_mate():
s = score.mate()
else:
s = score.score()
if s > 0:
return 1
elif s < 0:
return -1
return 0
def material_total(board: Board) -> float:
... | linrock/chess-puzzle-maker | puzzlemaker/utils.py | utils.py | py | 1,201 | python | en | code | 51 | github-code | 21 | [
{
"api_name": "chess.engine.Score",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "chess.Board",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "chess.PIECE_TYPES",
"line_number": 20,
"usage_type": "argument"
},
{
"api_name": "chess.Board",
... |
23828854297 | from collections import namedtuple
PhraseContainer = namedtuple('PhraseContainer', ('value'))
class Node:
def __init__(self):
self.childs = dict()
self.top_phrases = []
def __repr__(self):
return f'{self.childs}; {self.top_phrases}'
class Trie:
TOP_PHRASES_PER_PR... | lopespm/autocomplete | shared/trie.py | trie.py | py | 1,396 | python | en | code | 52 | github-code | 21 | [
{
"api_name": "collections.namedtuple",
"line_number": 2,
"usage_type": "call"
}
] |
10067688462 | import PIL.Image as Image
import PIL.ImageDraw as ImageDraw
import PIL.ImageFont as ImageFont
import cv2
import numpy as np
#преобразование в символов в текст
def crop_by_contours(image, contours):
symbols = {}
for contour in contours:
area = cv2.minAreaRect(contour)
points = np.int0(cv2.boxPo... | AS005110/diploma1 | recognition.py | recognition.py | py | 1,256 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "cv2.minAreaRect",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.int0",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.boxPoints",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "PIL.Image.new",
"line_nu... |
15811403530 |
import jsonify
import requests
import time
from selenium.webdriver import Chrome
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from keras.model... | manjiri13/Youtube-comments-emotion-detection | app.py | app.py | py | 3,568 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "tensorflow.compat.v1.disable_v2_behavior",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "tensorflow.compat.v1",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 26,
"usage_type": "call"
},
... |
1213593987 | import requests
import os
import re
AIPS_SOLR_HOST = "aips-solr"
AIPS_NOTEBOOK_HOST="aips-notebook"
AIPS_ZK_HOST="aips-zk"
#AIPS_SOLR_HOST = "localhost"
#AIPS_NOTEBOOK_HOST="localhost"
#AIPS_ZK_HOST="localhost"
AIPS_SOLR_PORT = os.getenv('AIPS_SOLR_PORT') or '8983'
AIPS_NOTEBOOK_PORT= os.getenv('AIPS_NOTEBOOK_PORT') o... | treygrainger/ai-powered-search | docker/data-science/notebooks/aips.py | aips.py | py | 16,170 | python | en | code | 90 | github-code | 21 | [
{
"api_name": "os.getenv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 14,
... |
21636418214 | import pytest
from aio_aws.aio_aws_batch_db import AioAWSBatchDB
from aio_aws.aio_aws_batch_db import AioAWSBatchTinyDB
from aio_aws.aws_batch_db import AWSBatchDB
pytest_plugins = [
"tests.fixtures.aio_aws_fixtures",
"tests.fixtures.geojson_fixtures",
]
@pytest.fixture
def test_jobs_db(tmp_path) -> AWSBatc... | dazza-codes/aio-aws | tests/conftest.py | conftest.py | py | 1,055 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "aio_aws.aws_batch_db.AWSBatchDB",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "aio_aws.aws_batch_db.AWSBatchDB",
"line_number": 14,
"usage_type": "name"
},
{
... |
10415155848 | import pathlib
import pytest
from cryp_to_go import path_handler
def test_init():
inst = path_handler.SubPath('foo/bar')
assert str(inst.relative_path) == 'foo/bar'
inst = path_handler.SubPath(pathlib.Path('foo/bar'))
assert str(inst.relative_path) == 'foo/bar'
with pytest.raises(ValueError, match... | matthiashuschle/cryp-to-go | tests/test_path_handler.py | test_path_handler.py | py | 1,874 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "cryp_to_go.path_handler.SubPath",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cryp_to_go.path_handler",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "cryp_to_go.path_handler.SubPath",
"line_number": 9,
"usage_type": "call"
},
{
... |
28001816417 | from __future__ import absolute_import, print_function
from flask_login import user_logged_out
from flask_oauthlib.client import OAuth as FlaskOAuth
from flask_oauthlib.client import OAuthRemoteApp
from . import config
from .handlers import authorized_default_handler, disconnect_handler, \
make_handler, make_toke... | N03/invenio | .virtualenvs/invenio/lib/python2.7/site-packages/invenio_oauthclient/ext.py | ext.py | py | 4,840 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask_login.user_logged_out.connect",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "handlers.oauth_logout_handler",
"line_number": 24,
"usage_type": "argument"
},
{
"api_name": "flask_login.user_logged_out",
"line_number": 24,
"usage_type": "nam... |
17266063900 | import boto3
Client = boto3.resourse('ec2')
instances =client.describe_instances()
used_ami = []
for reservation in instances['Reservations']:
for instance in reservation['Instances']:
used_ami.append(instance['ImageID'])
print(used_ami)
# Remove duplicate ami
def remove_duplicate(amis):
unique_ami = ... | rana-repo/Python_boto3 | 2_deregister_unused_ami.py | 2_deregister_unused_ami.py | py | 1,072 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "boto3.resourse",
"line_number": 2,
"usage_type": "call"
}
] |
1935245488 | import pathlib
from setuptools import setup, find_packages
from geo_to_hca import version
HERE = pathlib.Path(__file__).parent
README = (HERE / "README.md").read_text()
install_requires = [line.rstrip() for line in (HERE / "requirements.in").read_text().splitlines()]
setup(
name="geo-to-hca",
version=versio... | ebi-ait/geo_to_hca | setup.py | setup.py | py | 1,134 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pathlib.Path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "setuptools.setup",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "geo_to_hca.version",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "setuptools.find_packa... |
31301975664 | from typing import Optional
import torch
from torch import nn
import torch.nn.functional as F
from options import AttentionType
class BahdanauAttention(nn.Module):
def __init__(self, dim):
super(BahdanauAttention, self).__init__()
self.query_layer = nn.Linear(dim, dim, bias=False)
self.t... | almodhfer/Arabic_Diacritization | modules/attention.py | attention.py | py | 6,274 | python | en | code | 29 | github-code | 21 | [
{
"api_name": "torch.nn.Module",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "torch.nn.Linear",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_nu... |
39109404763 | import argparse
import random
import numpy as np
#import pdb
import gym
from gym import logger
import sys
from reflex_agent.reflex_agent import ReflexAgent
from neat_agent.neat_agent import NEATAgent
from random_agent.random_agent import RandomAgent
class Agent(object):
"""The world's simplest agent!"""
def ... | ianrandman/berzerk | gym-play.py | gym-play.py | py | 1,901 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "gym.logger.set_level",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "gym.logger",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "gym.logger.IN... |
10599372514 | # -*- coding: utf-8 -*-
"""
Created on Thu May 21 12:24:08 2020
@author: smrak@bu.edu
"""
from gpstec import gpstec
from datetime import datetime
from cartomap import geogmap as gm
import numpy as np
import cartopy.crs as ccrs
from scipy.ndimage import laplace
latlim = [-10, 70]
lonlim = [-150, -30]
projection = 'st... | aldebaran1/pyTID | imaging/tec_gradient.py | tec_gradient.py | py | 1,689 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "datetime.datetime",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "gpstec.gpstec.merge_time",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "gpstec.gpstec",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "numpy.nanmea... |
70194120054 | """
image_resizer.py is a utility script, that helps to make the rendering of textures faster.
Changes the 2k resolution texture to a smaller one, for the sake of
faster loading of the main menu with planets' cards.
"""
import sys
from PIL import Image
import os
files = os.listdir(sys.path[0]+'/planet_textures')
path... | hellagod/StarrySky | image_resizer.py | image_resizer.py | py | 848 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.listdir",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "sys.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_num... |
34018297315 | import collections
import gensim
import gensim.downloader as api
import json
from nltk.corpus import stopwords
import numpy as np
import torch
import utils
from gensim.corpora import Dictionary
from gensim import similarities
from gensim.models import TfidfModel
from rank_bm25 import BM25Okapi
#from sentence_transform... | nnkennard/iclr-discourse-dataset | baselines/old/models.py | models.py | py | 8,513 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "nltk.corpus.stopwords.words",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwords",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "collections.defaultdict",
"line_number": 40,
"usage_type": "call"
},
{
"api_nam... |
26743391199 | from django.shortcuts import render
import re
import requests
from bs4 import BeautifulSoup
from .forms import bookinfo, topicsn
from django.contrib import messages
class BookScrape:
def __init__(self):
self.url_main="https://books.toscrape.com/"
self.topics=self.get_topic(self.url_main) ... | Tofunmi-creator/samples | Web Scraper (Online Books)/webscrape_django/bookscrape/views.py | views.py | py | 4,557 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 83,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"... |
38847008536 | from mdp import MDPEnv, is_valid
from tqdm.contrib.concurrent import process_map
from tqdm import tqdm, trange
import pickle
import gzip
from functools import cache
import numpy as np
from constants import HAZARD_P, SLIP_P, GROUP_SIZE, DIR
from pathlib import Path
def max_model(map_size):
return int(map_size*2.... | saumikn/gymnasium-test | _1_make_data.py | _1_make_data.py | py | 3,601 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.random.default_rng",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "mdp.MDPEnv",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "constants.HAZAR... |
34586425310 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Dec 31 14:37:48 2016
@author: Falaize
"""
from __future__ import absolute_import, division, print_function
from .tools import matrix_type, indent, linesplit
from pyphs.config import CONFIG_CPP
import numpy
def append_ops(method, files, objlabel):
... | pyphs/pyphs | pyphs/numerics/cpp/operations.py | operations.py | py | 5,926 | python | en | code | 39 | github-code | 21 | [
{
"api_name": "tools.linesplit",
"line_number": 51,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "numpy.newaxis",
"line_number": 64,
"usage_type": "attribute"
},
{
"api_name": "numpy.prod",
"line... |
8597116567 | """add exports table
Revision ID: 2b0c06cca84d
Revises: 994326e472b3
"""
import sqlalchemy as sa
from alembic import op
from sqlalchemy.dialects.postgresql import UUID
# revision identifiers, used by Alembic.
revision = '2b0c06cca84d'
down_revision = '994326e472b3'
def upgrade():
op.create_table(
'cal... | wazo-platform/wazo-call-logd | wazo_call_logd/database/alembic/versions/2b0c06cca84d_add_exports_table.py | 2b0c06cca84d_add_exports_table.py | py | 1,462 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "alembic.op.create_table",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.diale... |
18033779228 | from speechbrain.pretrained import EncoderClassifier
import torchaudio
import pandas as pd
import os
classifier = EncoderClassifier.from_hparams(source="/home/armine/Codes/star_rail_ai/speaker_classification/results/speaker_id/1987/save/CKPT+2023-05-08+22-45-26+00",
hparams_... | ar-mine/star_rail_ai | speaker_classification/evaluate.py | evaluate.py | py | 982 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "speechbrain.pretrained.EncoderClassifier.from_hparams",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "speechbrain.pretrained.EncoderClassifier",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_... |
28209217929 | from flask import Flask, jsonify, render_template,send_file,redirect,session,request
from utils.create_app import create_webapp
from utils.push_dockimage import push_docker_image
from utils.create_dockerImage import build_docker_image
from utils.update_app import update_webapp_image
from utils.login import azure_l... | pedo4/TestAzPip | manageList/app.py | app.py | py | 5,341 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "utils.login.azure_login",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "flask.session",
"... |
39623194678 | import os
import io
import json
import time
# Python 3 compatibility (no longer includes `unicode`):
try:
unicode
except NameError:
unicode = str
class Cache(object):
def __init__(self, path, seconds, retriever, *retriever_args):
parent = os.path.dirname(path)
if not os.path.exists(parent... | bradrf/kubey | kubey/cache.py | cache.py | py | 1,456 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "os.path.dirname",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numbe... |
69808148852 | #!/usr/bin/python3
'''fetches status of https://intranet.hbtn.io/status'''
import requests
import sys
if __name__ == "__main__":
try:
rep = sys.argv[1]
except:
rep = ""
data = {'q': rep}
r = requests.post('http://0.0.0.0:5000/search_user', data=data)
try:
data = r.json()... | gjdame/holbertonschool-higher_level_programming | 0x11-python-network_1/8-json_api.py | 8-json_api.py | py | 558 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "sys.argv",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "requests.post",
"line_number": 15,
"usage_type": "call"
}
] |
28859842851 | import hashlib
import io
import os
from PIL import Image
from PIL.Image import Resampling
from tqdm import tqdm
os.chdir('../')
map_names = {}
def normalize_to_rgb(image_content, name, folder_path):
try:
image_file = io.BytesIO(image_content)
image = Image.open(image_file)
normalize_ima... | SergioRt1/An-analysis-of-diagram-images-on-Git-repositories | scrapping/normalizer.py | normalizer.py | py | 1,743 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.chdir",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "io.BytesIO",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 17,
... |
70433189493 | # Bibliothèques utilisés pour l'explotation du projet et la visualisation des résultats
import pandas as pd
import argparse
import numpy as np
from plotly.subplots import make_subplots # graphique interactive
import plotly.graph_objects as go # graphique interactive
# Import de la fonction de tranformation des données
... | YansKhoja/DGCNN | train.py | train.py | py | 8,808 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "model.train",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "model.eval",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "argparse.RawDescriptio... |
27476550782 | from transformers import RobertaForSequenceClassification, RobertaTokenizer
from transformers import RobertaConfig, RobertaForSequenceClassification
import torch
model_path = './model96.bin'
# Load the model with the specified configuration
model = RobertaForSequenceClassification.from_pretrained('microsoft/codebert-... | anhkiet1227/NT505_Thesis | ML/verify.py | verify.py | py | 1,233 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "transformers.RobertaForSequenceClassification.from_pretrained",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "transformers.RobertaForSequenceClassification",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "transformers.RobertaTokenizer.from_pret... |
36723382740 | import fasttext
import fasttext.util
import gensim
import gensim.downloader
import argparse
import pandas as pd
import numpy as np
from glob import glob
from sklearn import linear_model
import embedding_utils as utils
import re
import itertools
def calculate_memorability_conventional(regr, sent_csv, args):
"""Rea... | anonymous-radio/sentence_memorability | embeddings/conventional_embeddings.py | conventional_embeddings.py | py | 5,312 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "embedding_utils.get_embeddings_ft",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "embedding_ut... |
43863355511 | import copy
import logging
import os
from typing import Dict, List, Optional, Tuple
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import scipy as sc
import nanotune as nt
from nanotune.data.plotting import (colors_dict, default_plot_params,
plot_params_type)
... | microsoft/nanotune | nanotune/fit/coulomboscillationfit.py | coulomboscillationfit.py | py | 8,435 | python | en | code | 9 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "typing.Tuple",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "matplotlib.axes",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.colorb... |
19351852320 | import math
import cv2 as cv
import numpy as np
from colorama import Style, Fore
from scipy.stats import mode
import Common.color as Color
from Common.url import CITIES
UP = "Moving up"
DOWN = "Moving down"
LEFT = "Moving to the left"
RIGHT = "Moving to the right"
STATIONARY = "Stationary"
def log(info, msg):
... | lollopagno/VehicleSpeedEstimation | MotionTracking/Utility.py | Utility.py | py | 13,216 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "colorama.Fore.YELLOW",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "colorama.Fore",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "colorama.Fore.RED",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "colora... |
26578862902 | import os
import telegram
from doodstream import DoodstreamClient
# Masukkan token API bot yang didapat dari Bot Father ke dalam variabel TOKEN
TOKEN = "5635344869:AAF3jPheTnvDKAF2Qils437SYjEy9UsyLQw"
# Masukkan kredensial API Doodstream ke dalam variabel DOODSTREAM_API_KEY dan DOODSTREAM_API_SECRET
DOODSTREAM_API_KE... | hariri911/tesbot | telebot.py | telebot.py | py | 1,515 | python | id | code | 0 | github-code | 21 | [
{
"api_name": "doodstream.DoodstreamClient",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "telegram.ext.Updater",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "telegram.ext",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "te... |
72920014452 | """This module contains base classes and implementations for Deep Q policies, i.e. policies that
choose from a list of Q values. Any policy implementation must have BasePolicy as superclass.
Content:
Base classes:
- BasePolicy: base class for any policy that selects an action from Q values
- Epsilo... | fedetask/des-rl | deepq/policies.py | policies.py | py | 5,927 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.path.append",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_num... |
72734082292 | # @Author : Peizhao Li
# @Contact : peizhaoli05@gmail.com
import os
import pandas as pd
import numpy as np
import random
from numpy import linalg as la
from typing import Dict
import torch
def save2csv(data: Dict, path: str) -> None:
data = pd.DataFrame(data, index=[0])
if not os.path.isfile(path):
... | brandeis-machine-learning/influence-fairness | utils.py | utils.py | py | 2,568 | python | en | code | 8 | github-code | 21 | [
{
"api_name": "typing.Dict",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "pandas.DataFrame",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numbe... |
22584207435 | # By GuJi in WT&T, BUPT
# from utilities.N_order_Carrier_Sync import N_order_Carrier_Sync
from utilities.peroid_estimate import period_estimate
import cupy as cp
import numpy as np
# import matplotlib.pyplot as plt
from utilities.main_lobe_BW_estimate import main_lobe_BW_estimate
from scipy.signal import find_peaks
de... | Boom-Steven/electr_competition | algorithm_code/code_from_guji/utilities/freq_mod_Recognition.py | freq_mod_Recognition.py | py | 4,113 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "cupy.concatenate",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cupy.array",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cupy.conj",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "cupy.abs",
"line_number": 1... |
37844975558 | import datetime
import email
import imaplib
import os
from time import sleep
from zipfile import ZipFile
import psycopg2
import shutil
import random
db_name = "db_fts"
db_user = "db_admin"
db_pswd = "admin_1357S"
def reform_date(in_date):
tmp = in_date.strftime('%d.%m.%Y %H:%M')
return datetime.datetime.strp... | atabayev/ftss | daemons/deadline_checker.py | deadline_checker.py | py | 2,236 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.... |
42966272791 | #!/usr/bin/env python
import json
from bs4 import BeautifulSoup
# Source of W3Cs list of entities, stored locally.
CHAR_HTML = 'dat/chars.html'
CHAR_JSON = 'dat/chars.json'
CHAR_LESS = 'dat/chars.less'
def gen_dict():
""" Generate dict from original w3c file. """
def parse_tr(tr):
data = {}
data['titl... | djtriptych/chars | chars.py | chars.py | py | 1,986 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "bs4.BeautifulSoup",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 83,
"usage_type": "call"
}
] |
38426268505 | from django.core.management.base import BaseCommand
import csv
import os
from map.models import Phones, HeadReports, DeathReports, AltDiseases
class Command(BaseCommand):
args = '<None>'
help = "Reads in fake generated data to the database"
#loop over all files in ./testdata and read them in to repo... | daseinkapital/didactic-enigma | Scripts/predictive/map/management/commands/save_test_data_to_reports.py | save_test_data_to_reports.py | py | 2,203 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "map.models.HeadReports.objects.all",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "map.models.HeadReports.objects",
"line_number": 14,
"usage_type... |
3992864323 | from django.core.validators import RegexValidator
from django.db import models
class Tag(models.Model):
"""Тэги для рецептов.
Связано с моделью Recipe через М2М.
Attributes:
name(str):
Название тэга.
color(str):
Цвет тэга в HEX-кодировке.
slug(str):
... | Alex1995markson/foodgram-project-react | backend/apps/tags/models.py | models.py | py | 1,493 | python | ru | code | 0 | github-code | 21 | [
{
"api_name": "django.db.models.Model",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": ... |
5001842885 | # -*- coding:UTF-8 -*-
from sklearn.linear_model import LogisticRegression
import numpy as np
import random
import matplotlib.pyplot as plt
from sklearn.linear_model import LogisticRegression
def sigmoid(inX):
return 1.0 / (1 + np.exp(-inX))
def stocGradAscent1(dataMatrix, classLabels, numIter=150):
m,n = np.... | zhangting9756/machineLearning | logistic/src/logisticadmit.py | logisticadmit.py | py | 10,162 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.exp",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.shape",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "random.uniform",
"line_number": 1... |
31123165805 | import datetime
import time
import jinja2
from nose.tools import ok_, eq_
from django.test import TestCase
from airmozilla.main.models import Event
from airmozilla.manage.helpers import (
almost_equal,
event_status_to_css_label,
format_message,
)
class TestAlmostEqual(TestCase):
def test_almost_eq... | alex-jerez/airmozilla | airmozilla/manage/tests/test_helpers.py | test_helpers.py | py | 2,267 | python | en | code | null | github-code | 21 | [
{
"api_name": "django.test.TestCase",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "tim... |
32752348347 | import pandas as pd
import itertools
import json
import utils
def _get_relation_example(src_ent: int, trg_ent: int, df_all: pd.DataFrame, is_bert : bool = False):
text = ''
ent_set = set()
for i, row in df_all.iterrows():
cur_token = row['Token'].lower()
if row['Entity'] != '_' and row['Ent... | pavalucas/Bete | src/relation_extraction/load_data.py | load_data.py | py | 5,907 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "pandas.DataFrame",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "utils.BETE_RELATIONS",
"line_number": 57,
"usage_type": "attribute"
},
{
"api_name": "itertools.product",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "util... |
69989836854 | import sys
import datetime
import os
def write_file(step, set_size, observation_list, action_list, score_list, unique_id):
print("Step: " + str(step), file=sys.stderr)
now = datetime.datetime.now()
time_str = str(now)[0:10] + "_" + str(now)[11:23].replace(":", "-").replace(".", "-")
if not os.path.e... | hadjurh/Bridge-RL-Agent | utils/memory.py | memory.py | py | 950 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "sys.stderr",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.now",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.exi... |
30838994207 | # Libraries
import gi
from lcd_display import lcd
gi.require_version("Gtk", "3.0")
from gi.repository import Gtk, Gdk
# Variables
screen = lcd()
# Code
class MyWindow(Gtk.Window):
def __init__(self):
Gtk.Window.__init__(self, title="Puzzle 2")
self.set_border_width(8)
self.set_default_siz... | adriiancorral/PBE | puzzle2.py | puzzle2.py | py | 1,778 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "gi.require_version",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "lcd_display.lcd",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "gi.repository.Gtk.Window",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "gi.rep... |
17606335452 | # 別解
from typing import Optional
class ListNode:
def __init__(self, val=0, next=None):
self.val = val
self.next = next
def toList(self) -> list:
if (self == None):
return []
return self.stackList([])
def stackList(self, list: list = []) -> list:
list.a... | Yasshi-cookie/leet-code | problems/merge-two-sorted-lists/main2.py | main2.py | py | 1,247 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.Optional",
"line_number": 24,
"usage_type": "name"
}
] |
24151506348 | #!/usr/bin/env python3
import subprocess
from urllib import request
from git import Repo, Git
APP_ROUTE = 'http://10.0.0.1:8002/admin'
# must be hardcoded cuz script is to be run as root for wg handling
USER_PATH = '/home/odnes'
SSH_IDENTITY = '%s/.ssh/id_ed25519' % USER_PATH
GIT_SSH_CMD = 'ssh -i %s' % SSH_IDENTITY
... | Odnes/dotfiles | bin/tti_push.py | tti_push.py | py | 1,888 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "git.Repo",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "subprocess.check_output",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "subprocess.run",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "urllib.request.urlope... |
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