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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
41211430907 | """
What can we measure with just the tokenizer?
* total token counts from MIMIC III
* TODO: add specific biomedical entities
"""
import multiprocessing
import os
from pathlib import Path
from typing import Optional
from datasets import load_dataset
import pandas as pd
from rich import print
import typer
from eval_... | galtay/eval_bio_lms | eval_bio_lms/tokenization_measures.py | tokenization_measures.py | py | 2,966 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pathlib.Path",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "typer.Argument",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "typer.Option",
"line_... |
26038418656 | from __future__ import annotations
import logging
import re
from dataclasses import dataclass
from typing import Mapping
from pants.backend.adhoc.target_types import (
SystemBinaryExtraSearchPathsField,
SystemBinaryFingerprintArgsField,
SystemBinaryFingerprintDependenciesField,
SystemBinaryFingerprint... | pantsbuild/pants | src/python/pants/backend/adhoc/run_system_binary.py | run_system_binary.py | py | 4,799 | python | en | code | 2,896 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "pants.core.goals.run.RunFieldSet",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "pants.core.goals.run.RunInSandboxBehavior.RUN_REQUEST_HERMETIC",
"line_number": 39,
"u... |
32491209491 | __author__ = "happyin3"
#coding: utf-8
import pymongo
from thesis import ThesisHandler
from codeclass import CodeClass
from patent import PatentHandler
def main_thesis(db):
thesis = ThesisHandler(db)
thesis.main()
def main_code(db):
code = CodeClass(db)
code.main()
def main_patent(db):
patent... | happyin3/captchaimgs | windows/main.py | main.py | py | 530 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "thesis.ThesisHandler",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "thesis.main",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "codeclass.CodeClass",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "patent.PatentHan... |
28670815115 | import os,sys
import argparse
import numpy as np
from datetime import datetime
from numpy import core
import torch
import torch.nn as nn
import torch.optim as optim
from tensorboardX import SummaryWriter
cur_path = os.path.abspath(os.path.dirname(__file__))
root_path = os.path.split(cur_path)[0]
sys.path.append(root... | HaoweiGis/EarthLearning | tools/train_cnn.py | train_cnn.py | py | 7,066 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "os.path.abspath",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.split",
"lin... |
21027914436 | from django.urls import path
# from django.http import HttpResponse
# from django.utils.html import escape
from . import views
urlpatterns = [
path('', views.home, name="home"), # trigger the functions
path('products/', views.products, name="products"), # trigger the functions
path('customer_orders/<int:id... | manuelhayashi/djangocrm | mywebsite_project2/base/urls.py | urls.py | py | 1,360 | python | en | code | 0 | github-code | 6 | [
{
"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",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
25812310714 | from flask import Blueprint, request, current_app
from flask_restx import Api, Resource, fields
from .helpers import has_access_to_org
bp = Blueprint("instances", __name__, url_prefix="/api/apps/v1/instances")
authorizations = {
'apikey': {
'type': 'apiKey',
'in': 'header',
'name': 'X-User-... | exphost/controller-appsService | app/appsservice/instances.py | instances.py | py | 1,512 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Blueprint",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask_restx.Api",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask_restx.fields.String",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "flask_restx.... |
23614015874 | import string
import numpy as np
from nltk.tokenize import TreebankWordTokenizer
from nltk.stem.porter import PorterStemmer
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.metrics.pairwise import cosine_similarity
from collections import Counter
#Example documents
docs = [
'''Noona Noodles... | leejason2025/search-engine | engine.py | engine.py | py | 7,263 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "string.punctuation",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "nltk.tokenize.TreebankWordTokenizer",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "nltk.stem.porter.PorterStemmer",
"line_number": 29,
"usage_type": "call"
},... |
72591736507 | import asyncio
import sys
import time
import itertools
class Signal:
go = True
async def spinner(msg):
flush, write = sys.stdout.flush, sys.stdout.write
for ch in itertools.cycle('/-|\\|'):
status = ch + ' ' + msg
write(status)
flush()
write('\x08'*len(status))
try:
... | Dmitri00/python_specialization | intro/week5/spinner_async.py | spinner_async.py | py | 846 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.stdout",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "itertools.cycle",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "asyncio.sleep",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "asyncio.CancelledError",... |
41332217285 | from django.shortcuts import render, redirect
from django.contrib.auth.decorators import login_required
from django.views.generic import TemplateView
from django.http import JsonResponse
""""
Affichage de la page 'Profil' qui recense toutes les
informations utilisateur
"""
@login_required
def profil(request):
ret... | aurellandry/django-project | app/users/views.py | views.py | py | 806 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.shortcuts.render",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.decorators.login_required",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "django.http.JsonResponse",
"line_number": 25,
"usage_type": "call"
... |
26129606970 | from django.shortcuts import render,redirect,get_object_or_404
from django.http import HttpResponse, HttpResponseBadRequest, HttpResponseForbidden, Http404, HttpResponseNotFound,QueryDict
from django.core.urlresolvers import reverse, reverse_lazy
from django.template.loader import render_to_string
from django.db.models... | kinsney/sport | bike/views.py | views.py | py | 14,512 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "bike.models.Bike.objects.filter",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "bike.models.Bike.objects",
"line_number": 23,
"usage_type": "attribute"
},
{
"a... |
25970243416 | # -*- coding: utf-8 -*-
from apps.pages.models import Page
from django import template
register = template.Library()
@register.inclusion_tag("pages/block_page_summary.html")
def block_page_summary(alias):
try:
page = Page.objects.get(url = alias)
return {'page': page}
except Page.DoesNotExist:... | wd5/letoestate | apps/pages/templatetags/pages_extras.py | pages_extras.py | py | 1,551 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.template.Library",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "apps.pages.models.Page.objects.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name... |
70926690748 | import json
from video_indexer.video_indexer_api import VideoIndexerAPI
with open('config.json', 'r') as f:
config = json.loads(f.read())
vi = VideoIndexerAPI(
vi_subscription_key=config['primary_key'],
vi_location='trial',
vi_account_id=config['account_id'])
def upload_to_indexer(videoname, vi_api=v... | jetnew/carelytics | video_indexer/youtube_indexer.py | youtube_indexer.py | py | 2,282 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "json.loads",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "video_indexer.video_indexer_api.VideoIndexerAPI",
"line_number": 7,
"usage_type": "call"
}
] |
24756265125 | import argparse
import sys
import time_series_utils
import dill
import pickle
import numpy as np
import os
def query_nonlabeled_sample(paths_file_path, n):
with open(paths_file_path) as f:
num_lines = sum(1 for line in f)
sample_indices = np.sort(np.random.choice(num_lines, n, replace=False))
poin... | luvalenz/time-series-variability-tree | 4.queries_sampling.py | 4.queries_sampling.py | py | 3,684 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "numpy.sort",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.random.choice",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.choice"... |
31474470302 | """
Programmierbeleg zum Modul MF-MRS_14 Digitale Bildverarbeitung, WS 18/19:
Unter anderem Darstellung eines Szintigramms, anhand dessen
verschiedene Bildmodifikatiotionen durchgefuehrt wird.
@author: Mieke Möller
"""
import numpy as np
import matplotlib.pyplot as plt
from prettytable import PrettyTa... | Miiiluuu/DigitaleBildVerarbeitung | Beleg_DigitaleBildVerarbeitung_Mieke_Moeller.py | Beleg_DigitaleBildVerarbeitung_Mieke_Moeller.py | py | 76,548 | python | de | code | 0 | github-code | 6 | [
{
"api_name": "numpy.min",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.min",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.max",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.int_",
"line_number": 36,
... |
11891770602 | import sympy
class Solver:
def __init__(self, general_sol, homogeneous, nonhomogeneous, symbols_dict, initials_dict):
self._general_solution = general_sol
self._homogeneous = homogeneous
self._non_homogeneous = nonhomogeneous
self._symbols_dict = symbols_dict
self._initial... | heleensev/strukkers | DS_RecurrenceRelations/RecurrenceSolver/solver.py | solver.py | py | 4,184 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "sympy.sympify",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "sympy.srepr",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "sympy.sympify",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "sympy.linsolve",
"line_nu... |
73129415867 | import logging
import os
from firebase_admin import firestore
from google.cloud import firestore
FORMAT = "%(levelname)s %(asctime)s %(funcName)s() %(lineno)i %(message)s"
formatter = logging.Formatter(FORMAT)
stream_handler = logging.StreamHandler()
stream_handler.setFormatter(formatter)
logger = logging.getLogger(__... | JSoftwareLabs/firebaseutils | cloudstore/cloud_store_utils.py | cloud_store_utils.py | py | 2,201 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.Formatter",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.StreamHandler",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.INFO"... |
12211487791 | # import pygame
import pygame
from pygame.locals import *
# import OpenGL
from OpenGL.GL import *
from OpenGL.GLU import *
# define verticies of cube
verticies = (
(1, -1, -1),
(1, 1, -1),
(-1, 1, -1),
(-1, -1, -1),
(1, -1, 1),
(1, 1, 1),
(-1, -1, 1),
(-1, 1, 1)
)
# define edges o... | zero80517/opengl-examples | python/rotating-colored-cube/main.py | main.py | py | 1,796 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pygame.init",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 75,
"usage_type": "attribute"
},
{
"api_name": "pygame.event.... |
18155336002 | import pyttsx3 # voice module for speaking
import speech_recognition as sr # for speech recognition
import datetime # for getting date and time
import os #os module for controling operation system applications
import webbrowser as wb #for controlling the webbrowsers
import wikipedia #wikipedia search
import customtki... | Nandy1002/python-speechRecongition-desktop-AI-project | nabendu/init.py | init.py | py | 3,034 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pyttsx3.init",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "speech_recognition.Recognizer",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "speech_recogniti... |
38767926367 | import matplotlib.pyplot as plt
def plot_degree_dist(G):
degrees = [G.degree(n) for n in G.nodes()]
degrees = sorted(degrees, reverse=True)
degrees_len = len(degrees)
prob = [degrees.count(x) / degrees_len for x in degrees]
x1 = degrees
x2 = prob
ax = plt.gca()
ax.scatter(x1, x2... | LukasDCode/Companionship-Network | src/utils/net_analysis.py | net_analysis.py | py | 489 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.gca",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.show",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "matplo... |
72531756349 | """
Models used in storage API:
Specifically services/storage/src/simcore_service_storage/api/v0/openapi.yaml#/components/schemas
IMPORTANT: DO NOT COUPLE these schemas until storage is refactored
"""
import re
from datetime import datetime
from enum import Enum
from re import Pattern
from typing import ... | ITISFoundation/osparc-simcore | packages/models-library/src/models_library/api_schemas_storage.py | api_schemas_storage.py | py | 10,908 | python | en | code | 35 | github-code | 6 | [
{
"api_name": "pydantic.ConstrainedStr",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "re.Pattern",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "re.compile",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "basic_regex.S3_BUCKET_N... |
35303071939 |
import requests
import json
from config import Config
from apis.config_apis import BASE_URL, HEADERS
from apis.get_client_id.get_client_id_config import GetClientIDConfig
class GetClientIdAPI:
def __init__(self):
self.base_url = BASE_URL
self.headers = GetClientIDConfig.HEADERS
self.... | qateam-neo/fe-connect-automation | apis/get_client_id/get_client_id.py | get_client_id.py | py | 897 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "apis.config_apis.BASE_URL",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "apis.get_client_id.get_client_id_config.GetClientIDConfig.HEADERS",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "apis.get_client_id.get_client_id_config.GetClien... |
34776558173 | from django.http import JsonResponse
from django.shortcuts import render, redirect
from productionplanning.models.SemiFinished import SemiFinished
from productionplanning.forms.SemiFinishedForm import SemiFinishedForm, ViewSemiFinishedForm
from django.contrib import messages
from productionplanning.filters.SemiFinished... | nazmul53p/ERP | productionplanning/views/SemiFinishedViews.py | SemiFinishedViews.py | py | 5,192 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "productionplanning.models.SemiFinished.SemiFinished.objects.all",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "productionplanning.models.SemiFinished.SemiFinished.objects",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "productionplanni... |
24199093497 | from typing import List
from collections import deque
# Definition for a binary tree node.
class TreeNode:
def __init__(self, x):
self.val = x
self.left = None
self.right = None
class Solution:
def levelOrder(self, root: TreeNode) -> List[List[int]]:
if not root:
... | AiZhanghan/Leetcode | code/102. 二叉树的层序遍历.py | 102. 二叉树的层序遍历.py | py | 1,314 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 14,
"usage_type": "name"
}
] |
41844183537 | #!/usr/bin/env python
# coding: utf-8
# ## Sentence to Predicate (STP) Converter
#
#
# In[1]:
# Step 1: Tokenize words
# Step 2: find subject (first noun/prp), verb, object (first noun after subject), goal-state (PP)
# these will be arg1-4
# Step 3: check if goal state is atomic, if not, process it
# Step 4: che... | theogbrand/NLU-research-project | demo/stp.py | stp.py | py | 13,038 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "nltk.pos_tag",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "nltk.word_tokenize",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "stanfordcorenlp.StanfordCoreNLP",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "nltk.... |
73637534909 |
#importing libraries for the project teaching assistant dataset evaluation
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
# names is the list consisting of all the column names or the features of the project
names=['english_speaker','course_instructor','course','semester','class_size','score... | Khushbu0304/Teaching_Assistant | teaching_assistant_evaluation.py | teaching_assistant_evaluation.py | py | 2,409 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.StandardScaler",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 41,
"usage_type": "call"
... |
10623849788 | import discord
import Cogs.settings as settings
helpembed = discord.Embed(title="VirusTotalBot",
description="This Bot checks suspicous links and files in all "
"hannels he is in and flags them",
color=settings.helpembedcolour)
... | veni-vidi-code/VirusTotalDiscordBot | Utils/Helpembed.py | Helpembed.py | py | 804 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "discord.Embed",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "Cogs.settings.helpembedcolour",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "Cogs.settings",
"line_number": 8,
"usage_type": "name"
}
] |
42488809691 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Oct 14 15:01:57 2019
@author: michal
"""
import networkx as nx
from os import getcwd
from jobNode import GaussianNode
from parsers import getGaussianInpFromSlurmFile
import sys
from graphManager import GraphManager
from graphGenerators import addSPcorr... | chemiczny/calculationFlow | addSPcorrection.py | addSPcorrection.py | py | 1,462 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_numbe... |
16167431494 | from typing import List
class Solution:
def isAcronym(self, words: List[str], s: str) -> bool:
make = ""
for word in words:
make+=word[0]
print(make)
return make==s
obj = Solution()
print(obj.isAcronym(["alice","bob","charlie"],"abc")) | alaminjwel/leetcode | leetcode/contest/2828. Check if a String Is an Acronym of Words.py | 2828. Check if a String Is an Acronym of Words.py | py | 285 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 4,
"usage_type": "name"
}
] |
75344893946 | import time
import boto.ec2
from frigga_snake.ami import AMIName
import sys
NUMBER_OF_IMAGES_TO_KEEP = 10
# provide these for the account you want to use
AWS_ACCESS_KEY_ID = ""
AWS_SECRET_ACCESS_KEY = ""
ACCOUNT_ID = None
if not ACCOUNT_ID:
if not len(sys.argv) > 1:
print("Provide AWS Account ID as arg... | plecto/app-image-recycler | run.py | run.py | py | 3,087 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "boto.ec2.ec2.connect_to_region",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "boto.ec2.e... |
44844101063 | import os
import d4rl
import gym
import numpy as np
from tqdm.auto import trange
def d4rl_dataset(env):
dataset = env.get_dataset()
N = dataset['rewards'].shape[0]
obs_, action_, reward_ = [], [], []
done_, real_done_ = [], []
for i in trange(N, desc=f"Loading {env.spec.id} dataset"):
ob... | Howuhh/faster-trajectory-transformer | trajectory/datasets/get_d4rl.py | get_d4rl.py | py | 1,491 | python | en | code | 90 | github-code | 6 | [
{
"api_name": "tqdm.auto.trange",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_numb... |
9401503099 | from flask import Flask
from datetime import datetime
from os import environ
from pytz import timezone
from application.utils.common import (
convert_datestring_to_datetime,
convert_datetime_to_datestring,
)
from application.models.orm import db
from application.models.models import (
Contest,
Problem,... | coniferousdyer/Stats-Portal | api/application/database.py | database.py | py | 5,339 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "application.models.models.Contest.query.delete",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "application.models.models.Contest.query",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "application.models.models.Contest",
"line_number"... |
38949278099 | from urllib import request
import urllib.request
from selenium import webdriver
import requests
import time
import re
import os
import random
# 全局声明的可以写到配置文件，这里为了读者方便看，故只写在一个文件里面
fileDir = {
'国产': {'自拍视频': "/video/zipai/", '淫妻作乐': "/video/fuqi/", '开放青年': "/video/kaifang/", '精品分享': "/video/jingpin/", '台湾辣妹': "/vid... | SubMirk/12345 | aaq52.py | aaq52.py | py | 14,407 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.join",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 44,
"usage_type": "attribute"
},
{
"api_name": "os.path.isdir",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
24502740771 | import json
def _check_not_null(d, name):
if d.get(name) is None:
raise RuntimeError("Missing required field {}".format(name))
def _check_non_empty_str(d, name):
value = d.get(name)
if value is None:
return
if not isinstance(value, str):
raise RuntimeError("Field {} must be a s... | williamhogman/cloudevents-python | cloudevents/model.py | model.py | py | 2,576 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "json.loads",
"line_number": 61,
"usage_type": "call"
}
] |
41735768401 | from sanic import Sanic
from sanic.request import Request
from sanic.response import json
from sanic_jwt import initialize
from sanic_restful import Api
import os
from src.auth import authenticate
from src.definitions import ApiError, BadRequestError
from src.resources import DataResource, DataResourceList
... | sashkavyshka/salt_homework | test-server/src/main.py | main.py | py | 1,499 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sanic.Sanic",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sanic_restful.Api",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sanic_jwt.initialize",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "src.auth.authentic... |
36466165995 | #!/usr/bin/env python
import utils
import gzip
import argparse
from pysam import TabixFile
import numpy as np
def get_args():
parser = argparse.ArgumentParser()
parser.add_argument('-r',
dest='rate_file',
required=True,
help='Path file co... | ryanlayerlab/layer_lab_chco | bin/get_coverage_zscores.py | get_coverage_zscores.py | py | 2,694 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "gzip.open",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "utils.Interval",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "gzip.open",
"line... |
30828224585 | import pytest
import os
from tools import getGuiItem, readFile, writeFile
from mock import causeOSError
from PyQt5.QtWidgets import QAction, QMessageBox, QDialog
from novelwriter.dialogs import GuiDocSplit, GuiItemEditor
from novelwriter.enum import nwItemType, nwWidget
from novelwriter.core.document import NWDoc
fr... | vaelue/novelWriter | tests/test_dialogs/test_dlg_docsplit.py | test_dlg_docsplit.py | py | 7,757 | python | en | code | null | github-code | 6 | [
{
"api_name": "PyQt5.QtWidgets.QMessageBox",
"line_number": 20,
"usage_type": "argument"
},
{
"api_name": "PyQt5.QtWidgets.QMessageBox.Yes",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtWidgets.QMessageBox",
"line_number": 21,
"usage_type": "argu... |
21553545752 | import sys
import argparse
from DataLoader import BoatLoader, Mode, NetworkArchitecture
from DataValidator import DataValidator
def main(mode, inputclass, split, kernel, default_testing):
training_set, testing_set = BoatLoader(mode, network=NetworkArchitecture.VGG16, vstype=inputclass).loadset()
validator = D... | LithiumSR/venice_boat_ml | main.py | main.py | py | 2,684 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "DataLoader.BoatLoader",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "DataLoader.NetworkArchitecture.VGG16",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "DataLoader.NetworkArchitecture",
"line_number": 8,
"usage_type": "name"
}... |
24532715369 | # This project is run inside a custom conda environment, which is built using conda and pip together
# Since merely copying the environment via a env.yaml file does result in multiple issues,
# a clean manual install is recommended.
#
# On Windows follow these steps:
# - conda create -n "new_env" python=3.8
# - c... | JonasLewe/thesis_codebase | Code/src/main.py | main.py | py | 21,476 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.environ",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numb... |
71379586747 | import numpy as np
from scipy import linalg
import matplotlib.pyplot as plt
import math as m
def CoinOperator(CoinString):
if CoinString == "X":
Coin = np.array([[0,1],[1,0]])
elif CoinString == "H":
Coin = np.array([[1,1],[1,-1]])/np.sqrt(2)
return Coin
def CycleShiftOpera... | JaimePSantos/Dissertation-Tex-Code | Coding/Python Simulations/CoinedQW/coinbruno.py | coinbruno.py | py | 2,777 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.array",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 15... |
36809910452 | from telegram.ext import Updater, CommandHandler, MessageHandler, Filters
PROXY = {'proxy_url': 'socks5://t1.learn.python.ru:1080',
'urllib3_proxy_kwargs': {'username': 'learn', 'password': 'python'}}
import logging
logging.basicConfig(format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
... | koiiNyan/LearnPython | lesson2/hw/bot.py | bot.py | py | 6,601 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.basicConfig",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.now",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "datetime.da... |
18313887361 | from django.shortcuts import render, get_object_or_404
from django.contrib.auth.mixins import LoginRequiredMixin, UserPassesTestMixin
from django.contrib.auth.models import User
from django.http import JsonResponse, HttpResponse
#from .models import Post
import json
from PIL import Image
import requests, math
from io... | rpshredow/rpshredow-website-reverieslab.com-v3 | projects/views.py | views.py | py | 3,447 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.shortcuts.render",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 23,
"usage_type": "call"
},
{
"api_name"... |
15358217511 | from __future__ import absolute_import, division, print_function
import tensorflow as tf
from tensorflow import keras
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
print("TensorFlow Version", tf.__version__)
boston_housing = keras.datasets.boston_housing
(train_data, train_labels), (test_d... | kratzlos/Keras-TensorFlow-Tutorials | regression.py | regression.py | py | 3,262 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tensorflow.__version__",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.keras.datasets",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.keras",
"line_number": 12,
"usage_type": "name"
},
{
"api_n... |
41419295346 | #!/usr/bin/env python
# coding=utf8
import logging; logging.basicConfig(level=logging.INFO)
import asyncio, os, json, time, re
from datetime import datetime
from aiohttp import web
from jinja2 import Environment, FileSystemLoader, evalcontextfilter, Markup, escape
import orm
from config import configs
... | cyanife/Pyanife | app.py | app.py | py | 6,587 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.basicConfig",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "logging.info",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"... |
23181679121 | import setuptools
from hfoGUI.main import version
with open("README.md", "r") as fh:
long_description = fh.read()
pkgs = setuptools.find_packages()
print('found these packages:', pkgs)
pkg_name = "hfoGUI"
setuptools.setup(
name=pkg_name,
version=version,
author="Geoffrey Barrett",
author_email="... | HussainiLab/hfoGUI | setup.py | setup.py | py | 1,007 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "setuptools.find_packages",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "setuptools.setup",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "hfoGUI.main.version",
"line_number": 14,
"usage_type": "name"
}
] |
17610164526 | from .web import WebObject
class Yakker(WebObject):
def __init__(self, session, data):
super().__init__()
self.session = session
self.herd = data.get('myHerd', None)
self.nickname = data.get('nickname', None)
self.personaID = data.get('personaID', None)
self.userI... | louis-haddrell/Yik-Yak-API | yikyakapi/yakker.py | yakker.py | py | 681 | python | en | code | 14 | github-code | 6 | [
{
"api_name": "web.WebObject",
"line_number": 4,
"usage_type": "name"
}
] |
73362848828 | from flask import jsonify
class responses:
Taxcode = { 1: {
"name": "Food",
"refund": True,
"tax": 0.10
},
2: {
"name": "Tobacco",
"refund": False,
"tax": 0.02
},
3: {
"name": "Entertainment",
"refund": False,
"tax": 0.01
}
}
def data_structur... | dedidot/pisopi | App/Helper/responses.py | responses.py | py | 1,686 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "flask.jsonify",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",
"line_number": 67,
"usage_type": "call"
}
] |
28866480330 | import pyautogui
import time
# wechat in WOA
def openWechat():
time.sleep(0.5)
pyautogui.keyDown('winleft')
time.sleep(0.05)
pyautogui.keyUp('winleft')
time.sleep(0.5)
pyautogui.typewrite(['w','e','c','h','a','t','space'], interval=0.25)
time.sleep(0.5)
pyautogui.typewrite(['down','down... | welcozh/jywechat-autosign | autosign.py | autosign.py | py | 1,124 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "time.sleep",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pyautogui.keyDown",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pyautogui.keyUp",
"line_numb... |
44083656885 | import string
import warnings
from typing import Iterable, Tuple, Dict, List
import numpy as np
from matplotlib import pyplot as plt
from sklearn.cluster import SpectralClustering, DBSCAN, OPTICS
from sklearn.metrics import silhouette_score
from comparaison_classes import CachedCustomLCS, Singleton
from segmentation ... | llmhyy/malware-traffic | Experiments/exp16_visualisation/clustering.py | clustering.py | py | 6,576 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "typing.Iterable",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "typing.Iterable"... |
24034444046 | # local imports
import xmatters
import config
# python3 package imports
import logging
import json
from logging.handlers import RotatingFileHandler
# main process
def main() -> object:
dynamic_teams_data = dynamic_teams_file.get_rows(["targetName", "supervisors", "observers", "operand"], {"targetName"}, True, "... | matthewhenry1/integrator_py | src/dynamic_teams.py | dynamic_teams.py | py | 3,224 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "json.dumps",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "config.dynamic_teams",
... |
3257239131 |
import pandas as pd
import sklearn
import matplotlib.pyplot as plt
import numpy as np
from scipy.stats import spearmanr, pearsonr
from sklearn.model_selection import train_test_split
from time import time
def match(C):
"""
Replication of R's match function
"""
u, ui = np.unique(C, return_index=Tr... | AkiNikolaidis/BaggingSubtyping | scripts/Split_Louvain.py | Split_Louvain.py | py | 16,559 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "numpy.unique",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number":... |
11731360446 | #!/usr/bin/env python3
import argparse,array,can,json,os,queue,re,signal,threading,time
import ruamel.yaml as yaml
def signal_handler(signal, frame):
global t
print('')
print('You pressed Ctrl+C! Exiting...')
print('')
t.kill_received = True
exit(0)
signal.signal(signal.SIGINT, signal_handl... | linuxkidd/rvc-monitor-py | usr/bin/rvc2mqtt.py | rvc2mqtt.py | py | 10,218 | python | en | code | 12 | github-code | 6 | [
{
"api_name": "signal.signal",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "signal.SIGINT",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "can.Message",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "can.CanError",
"line... |
4600703185 | bl_info = {
"name": "Export Binary (.model)",
"author": "John Stricker (modified from Jeff LaMarche's C Header script",
"location": "File > Export",
"description": "Export Model Verts, Norms, & Texture Coords to Binary File",
"category": "Import-Export"}
import bpy
from bpy.props import *
import mathutils, math, ... | guozhaokui/layaphy | src/tools/expBin.py | expBin.py | py | 4,048 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "bpy.context",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "bpy.ops.object.mode_set",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "bpy.ops",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "bpy.context",
... |
73008019709 | #Lesson 19 instructor version of vode, no comments
from pyspark import SparkConf, SparkContext
conf = SparkConf().setMaster("local").setAppName("WordCount")
sc = SparkContext(conf = conf)
input = sc.textFile("file:///C:/Users/cenzo/sparkcourse/csv/book.txt") #only line I had to update
words = input.flatMap(lambda x: ... | CenzOh/Python_Spark | InstructorCode/word-count.py | word-count.py | py | 524 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pyspark.SparkConf",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pyspark.SparkContext",
"line_number": 5,
"usage_type": "call"
}
] |
3194701939 | # Add RA and DEC in degrees
# Remove duplicates
from __future__ import division, print_function
import sys, os, glob, time, warnings, gc
import numpy as np
from astropy.table import Table, vstack, hstack
import fitsio
import match_coord
cat = Table.read('/Users/rongpu/Downloads/c3r2_DR1+DR2_2019april11.txt', format='... | rongpu/desi-truth-table | reduction/c3r2_dr2.py | c3r2_dr2.py | py | 1,658 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "astropy.table.Table.read",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "astropy.table.Table",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.array"... |
33349618195 | import os
import requests
import uuid
from flask import Flask, request, abort
app = Flask(__name__)
@app.route('/', methods=['GET'])
def proxy_request():
service_name = request.args.get('service')
if not service_name:
abort(400, 'Missing service parameter')
url = f'http://{service_name}.openfaas... | leonardobarilani/edge-computing-thesis | Proxy/proxy.py | proxy.py | py | 1,187 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.request.args.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.request.args",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "flask.reque... |
31651477573 | import enum
from models.client import Client
from models.subnet import Subnet
from models.vlan import VLan
from models.network import Network
from types_mangement.ip import IPv4
from utilities.Formatters import (
display_all_formatter, display_information_formatter)
# Using enum class create enumerations for cki ... | AhmedSHelmi/IP-Management-System | facades/CliFacade.py | CliFacade.py | py | 8,256 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "enum.Enum",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "models.subnet.Subnet",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "models.client.Client",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "models.vlan.... |
1957815797 | import os
import torch
import pickle
import numpy as np
from conf import *
import pandas as pd
from model import *
from clearml import Task
# from datetime import datetime
import matplotlib.pyplot as plt
from run import *
def get_test_data(path):
test_labels = pd.read_csv(path + lables)
test_exp = pd.read_csv... | agotliber/CH3_project | src/test.py | test.py | py | 2,726 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
... |
74923811066 |
from tinydb import TinyDB, Query
from app.controllers import c_players
from app.views import v_menu
import datetime
class Player:
def __init__(self, id=None):
self.name = ''
self.surname = ''
self.birthday = ''
self.genre = ''
self.rank = ''
self.scores = ''
... | MaeRiz/OC_P4_Chess | app/models/m_players.py | m_players.py | py | 2,532 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tinydb.Query",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "tinydb.TinyDB",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "tinydb.TinyDB",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "app.controllers.c_players.pl... |
10202480117 | # Exercício 4 Baseados em uma página contendo detalhes sobre um livro http://books.toscrape.com/catalogue/the-grand-design_405/index.html , faça a extração dos campos título, preço, descrição e url contendo a imagem de capa do livro.
# O preço deve vir somente valores numéricos e ponto. Ex: £13.76 -> 13.76 .
# A descr... | albertoscandido/trybe-exercises | exercises/CS/bloco_34/dia_3/exercise_4.py | exercise_4.py | py | 1,467 | python | pt | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "requests.HTTPError",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "requests.ReadTimeout",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "parsel... |
4998234032 | # We'll add the path to the directory above this one so we can import the Models folder.
import sys
sys.path.append('..')
from Models.Project import Project
import erppeek
class project_test(object):
def test_project_creation():
# Order: client, model, show_generated_records_in_terminal, number_of_recs
... | odoofans/Odata | Odata/Tests/project_test.py | project_test.py | py | 1,016 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "erppeek.Client",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "Models.Project.Project",
... |
71047277628 | import streamlit as st
import openai
# from openai import OpenAI
# client = OpenAI(api_key = st.secrets["OPENAI_API_KEY"])
from langchain.agents import load_tools
from langchain.agents import initialize_agent
from langchain.agents import AgentType
from langchain.llms import OpenAI
import numpy as np
import pandas a... | yiqiao-yin/youth_homeless | app.py | app.py | py | 5,678 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "openai.api_key",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "streamlit.secrets",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "pandas.concat",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "openai.Compl... |
41039357102 | import argparse
import logging
from multiprocessing import Pool
import datetime
from typing import List, Optional
from examples.agent_market.agents import (
MM_WALLET,
TERMINATE_WALLET,
TRADER_1_WALLET,
MarketMaker,
MarketOrderTraders,
random_walk_price,
)
from vega_sim.environment import Marke... | vegaprotocol/vega-market-sim | examples/agent_market/agent_market.py | agent_market.py | py | 3,374 | python | en | code | 19 | github-code | 6 | [
{
"api_name": "typing.Optional",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "vega_sim.null_service.VegaServiceNull",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": ... |
73780221949 | import networkx as nx
import numpy as np
import matplotlib.pyplot as plt
def init_graph(n):
matrix = np.zeros((n, n))
for i in range(n):
for j in range(i + 1, n):
matrix[i][j] = matrix[j][i] = np.random.randint(0, 10)
return matrix
def prim(matrix):
n = matrix.shape[0]
distanc... | BestUazDriver/MachineLearning | hw3/hw3.py | hw3.py | py | 2,191 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.zeros",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.random.randint",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "numpy.ones",
"lin... |
16644715389 | # -*- coding: utf-8 -*-
# @Time:2021/4/820:18
# @File:4.8_degree_in_out.py
# -*- coding: utf-8 -*-
# @Time:2021/4/712:51
# @File:4.8_degeneracyInDegree.py
# -*- coding: utf-8 -*-
# @Time:2021/3/3014:16
# @File:3.30_null_model测试.py
import numpy as np
from numpy import *
import networkx as nx
import matplotlib.pyplot as ... | QingqingSun-Bao/GitResp2 | nested/4.8_degree_in_out.py | 4.8_degree_in_out.py | py | 4,920 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.random.RandomState",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "numpy.shape",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.shape",
... |
70665827388 | from __future__ import print_function
import numpy as np
import tensorflow as tf
from six.moves import cPickle as pickle
from six.moves import range
import pdb
pickle_file = 'notMNIST.pickle'
# dimentions will be 20000 * 784 * 1
# 20000 training points
# each of which there are 784 points [28 * 28]
# every point is r... | srjit/padawan | deeplearning/tensorflow/train.py | train.py | py | 4,169 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "six.moves.cPickle.load",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "six.moves.cPickle",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "numpy.float32",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "numpy.ara... |
71751657149 | import numpy as np
from PIL import Image
from stego.metrics import cos, mse, psnr
from stego.preprocess import (
text_to_msg,
read_file_to_msg,
bits_to_msg,
text_from_msg,
write_fille_from_msg,
bits_from_msg
)
from stego.transform import inject, eject
def inject_command(
image_path: str,... | maksfourlife/hse-ib-stego | stego/commands.py | commands.py | py | 1,457 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.array",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "stego.preprocess.text_to_msg",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "stego.preprocess.read_file_to_msg",
"line_number": 30,
"usage_type": "call"
},
{
"api_na... |
37543037564 | import pygame
from random import randint, uniform
# CONSTANTS
WIDTH = 500
HEIGHT = 500
FPS = 60
SHIP_SPEED = 5
BLACK = (0, 0, 0)
# INITIALIZATION
pygame.init()
screen = pygame.display.set_mode((WIDTH, HEIGHT))
clock = pygame.time.Clock()
# ship
ship_img = pygame.image.load('razorinv.png')
w, h = 60, 5... | nvxden/pygame | space-invaders/kd/1/3.Персонаж и управление.py | 3.Персонаж и управление.py | py | 1,733 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pygame.init",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "pygame.time.C... |
16464520431 | from __future__ import unicode_literals
import argparse
import pexpect
import os
import time
import sys
import tempfile
from itertools import count
class EngineMaster(object):
def __init__(self, command, logfile=None):
self.command = command
if not logfile:
self.logfile, _ = tempfile.m... | bsamseth/Ricefish | play-match.py | play-match.py | py | 4,727 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tempfile.mkstemp",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pexpect.spawnu",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "itertools.count",
"line_number": 117,
"usage_type": "call"
},
{
"api_name": "itertools.count",
... |
4557813707 | import pandas as pd
from sklearn.tree import DecisionTreeRegressor
import matplotlib.pyplot as plt
import numpy as np
base = pd.read_csv('plano_saude2.csv')
X = base.iloc[:, 0:1].values
y = base.iloc[:, 1].values
#Tree regressor
regressor = DecisionTreeRegressor()
regressor.fit(X, y)
score = regressor.score(X, y)
... | guilhermelamb/Machine-Learning-Studies | Linear-Regression/regressao_arvore_decisao_plano_saude.py | regressao_arvore_decisao_plano_saude.py | py | 723 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sklearn.tree.DecisionTreeRegressor",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.scatter",
"line_number": 17,
"usage_type": "call"
},
{
"api_n... |
29564858015 | """
encode:utf-8
Author:aidan.hu
Data:2022/1/10
"""
import pytest
from model.symbol import symbol as s
from common.logger import logger
from common.mongodb_operate import MongoDb
from model.fund_rate import fund_rate
from operation.contract.client.quote.qoute_class import Qoute
from test_cases.contract.client.conftest ... | shiqilouyang/thanos_test | test_cases/contract/client/quote/test_funding_rate_record.py | test_funding_rate_record.py | py | 3,208 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "operation.contract.client.quote.qoute_class.Qoute",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "test_cases.contract.client.conftest.get_data",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "common.logger.logger.info",
"line_number": 27,... |
18245572047 | from config import Config
from os import listdir
from os.path import join
from PIL import Image
import numpy as np
import matplotlib.pyplot as plt
from model import get_model
def get_single_test(dir):
sz = 200
test = np.zeros(shape=(sz, 160, 160, 1))
cnt = 0
for f in sorted(listdir(dir)):
if s... | mitiksh/anomaly-detection-in-surveillance-video | evaluate.py | evaluate.py | py | 1,404 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.zeros",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number... |
32475343866 |
from django.shortcuts import render,redirect
from django.http import HttpRequest,HttpResponse
from django.contrib import messages
from django.contrib.auth.models import User
from django.contrib.auth import authenticate, login,logout
from appeventos.models import eventosm
from appforo.models import forom
from reindev.f... | jkaalexkei/reindev | apprein/views.py | views.py | py | 8,869 | python | es | code | 0 | github-code | 6 | [
{
"api_name": "appblog.models.blogm.objects.all",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "appblog.models.blogm.objects",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "appblog.models.blogm",
"line_number": 29,
"usage_type": "name"
},
... |
199282102 | import os.path
import custom
from tornado.options import define
define("HTTPS_port", default=443, help="run on the given port", type=int)
define("HTTP_port", default=80, help="run on the given port", type=int)
define("config", default=None, help="tornado config file")
define("debug", default=False, help="debug mode"... | chinhtle/ops-restd | opsrest/settings.py | settings.py | py | 1,084 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tornado.options.define",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "tornado.options.define",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "tornado.options.define",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "tor... |
12931148980 | import os
from dotenv import load_dotenv
from aiogram import types, executor, Dispatcher, Bot
from aiogram.dispatcher.filters.state import State, StatesGroup
from aiogram.types.message import ContentType, ContentTypes
import logging
import aiogram.utils.markdown as md
from aiogram.contrib.fsm_storage.memory import Mem... | Anastas1a1/fin-accounting | financial-accounting/UI.py | UI.py | py | 12,834 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "aiogram.Bot",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "aiogram.contrib.fsm_storage.... |
23900950107 | import pandas as pd
import numpy as np
from scipy import spatial
# Below function returns top-N recommendations for a given user
def get_top_n_recommendations(user_ratings_matrix, current_user, top_list_length):
closest_user = get_most_similar_users(user_ratings_matrix, current_user)[0]
closest_neighbours_rat... | malinthasa/Recommender-Systems | source/Memory_Based_Collaborative_Filtering/UserBasedCollaboration/UserBasedImp.py | UserBasedImp.py | py | 2,296 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.where",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number"... |
26764253290 | # -*- coding: utf-8 -*-
"""
Created on Sun Jan 1 16:17:57 2023
@author: Gauthier Guyaz
"""
import tkinter as tk #gestion graphismes
from random import randint #germe aléatoire
import WindVector #importation d'un fichier annexe
from PIL import Image #gestion du raster
# =======... | Gauthier23/Forest-Fire | Forest_Fire.py | Forest_Fire.py | py | 10,737 | python | fr | code | 2 | github-code | 6 | [
{
"api_name": "tkinter.ALL",
"line_number": 76,
"usage_type": "attribute"
},
{
"api_name": "WindVector.Angle2Vector",
"line_number": 103,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 180,
"usage_type": "call"
},
{
"api_name": "PIL.Image.o... |
6522452587 | import configparser
import json
import unittest
from lyft.authentication.auth import LyftPublicAuth
from lyft.availability import Availability
from tests import availability_res
# path to secret access config file
ACCESS_TOKEN_PATH = "/Users/Raj/Root/Code/_PRIVATE_KEYS/lyft/test_app.cfg"
# file format/ content, save ... | rzskhr/Lyft-Python-SDK | tests/availability_test.py | availability_test.py | py | 2,350 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "lyft.authentication.auth.LyftPublicAuth",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 25,
"usage_type": "call"
},
{
"api_... |
72182396027 | '''Kafka Consumer - kafka -> MongoDB
Consume weather data from kafka to MongoDB.
'''
from kafka import KafkaConsumer
from pymongo import MongoClient
import json
def kafka_consumer(kfk_bootstrap_server:str, db_name:str) -> None:
try:
# connect to MongoDB
client = MongoClient('localhost',27017)
... | felipedmnq/streaming-weather-kafka | kafka/weather_consumer_mongodb.py | weather_consumer_mongodb.py | py | 2,214 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "kafka.KafkaConsumer",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 26,
"usage_type": "call"
}
] |
1693711596 | import secrets
import os
from flask import current_app
from PIL import Image
def save_picture(form_picture):
random_hex = secrets.token_hex(16)
_, file_extension = os.path.splitext(form_picture.filename)
picture_fn = random_hex + file_extension
picture_path = os.path.join(current_app.root_path,
... | vCel/IAB207-Assignment3-Group42 | auction/sell/utils.py | utils.py | py | 575 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "secrets.token_hex",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path.splitext",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line... |
27813318430 | import random
from ucts import uct
from utils.util import hash_str_encoding, save_one_in_hash_file, Merge, sample_component
from utils.eliminate_isomorphism import instance_to_isom_str, maintain_reward_hash_with_edge \
, get_component_priorities
import collections
import networkx as nx
import matplotlib.pyplot as p... | fanshaoze/UCT-for-Converter-Design | UCTUsingAnalytics/3-components/UCT_for_CD_analytics/ucts/TopoPlanner.py | TopoPlanner.py | py | 61,307 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "copy.deepcopy",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "ucts.uct.State",
"line_number": 209,
"usage_type": "attribute"
},
{
"api_name": "ucts.uct",
"line_number": 209,
"usage_type": "name"
},
{
"api_name": "collections.defaultdict"... |
38903260274 | import argparse
from TrainPipelineBuilder import TrainPipelineBuilder
from predict import run_batch, run_online
def run_test(model_dir):
# global model, vocab, setup
model, vocab, setup, _ = TrainPipelineBuilder.load(model_dir)
if args.gpu >= 0:
run_batch(args.gpu, model, vocab, setup)
else:
... | elangovana/sentimentanalysis-chainer-sagemaker | custom_chainer/main_predict.py | main_predict.py | py | 963 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "TrainPipelineBuilder.TrainPipelineBuilder.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "TrainPipelineBuilder.TrainPipelineBuilder",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "predict.run_batch",
"line_number": 11,
"usage_type... |
27445869703 | from pytube import YouTube
link = input("Please enter the link of your Youtube Video : ")
video = YouTube(link)
print(video.title)
print("\nDownloading Audio...")
video.streams.get_audio_only().download(
output_path="C:\\Users\Mohamed Farid\Desktop\songs")
| MohamedFarid612/Youtube-song-downloader | youtube.py | youtube.py | py | 274 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pytube.YouTube",
"line_number": 5,
"usage_type": "call"
}
] |
10225783655 | #!/usr/bin/python
# -*- coding: utf-8 -*-
import binascii
import datetime
import math
import re
import select
import socket
import sys
import time
import os
from ansible.module_utils._text import to_native
def main():
module = AnsibleModule(
argument_spec = dict(
pid=dict(default=None, type='... | pingcap/tidb-ansible | library/wait_for_pid.py | wait_for_pid.py | py | 4,770 | python | en | code | 325 | github-code | 6 | [
{
"api_name": "re.compile",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "re.MULTILINE",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.now",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "datetime.datetime"... |
38800378641 | import optuna
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import xgboost as xgb
import matplotlib.ticker as ticker
import matplotlib.dates as mdates
from sklearn.metrics import mean_squared_error
from sklearn.metrics import mean_squared_error as mse
from sklearn.metrics import mean_absolute_e... | wuyeyuan/Wyy | 5years_xg_duo.py | 5years_xg_duo.py | py | 4,276 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pandas.read_excel",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.array",
... |
70643855867 | import datetime as dt
from datetime import timedelta
from airflow import DAG
from airflow.operators.bash_operator import BashOperator
from airflow.operators.python_operator import PythonOperator
def Get_DF(Day):
import pandas as pd
DF_i=None
try:
URL_Day=f'https://raw.githubuserco... | shoroqtrad/DataEngineeringHW2 | HW20208075/dags/covid_dag.py | covid_dag.py | py | 5,102 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.today",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "dateti... |
9150103813 | import numpy
import joblib
class Bootstrapper:
"""The entry point of all Bootstrapper features.
:param n_jobs: How many process workers are used. -1 means the CPU counts available. Defaults to -1.
:type n_jobs: int, optional
:param bootstrap_count: How many bootstrap samples are drawn. Defaults to 1... | ownshogo/bootstrapper | bootstrapper/bootstrapper.py | bootstrapper.py | py | 3,760 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.random.choice",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "joblib.Parallel",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "joblib.delayed"... |
19812069338 | # -*- coding: utf-8 -*-
"""
The result is a BibTeX file that includes all the entries included in
the BibTeX files given with the -bib parameter. The result has not duplicated entries.
A. M. Reina Quintero <reinaqu@us.es>
"""
import argparse
from bibtexparser.bibdatabase import BibDatabase
import bibtexparser... | reinaqu/bibtex_utils | src/bibmerge.py | bibmerge.py | py | 1,104 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.basicConfig",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "logging.info",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentP... |
4677136797 | import argparse
import logging
import sys
from pds_github_util.requirements.requirements import Requirements, NoAppropriateVersionFoundException
from pds_github_util.utils import addStandardArguments
_logger = logging.getLogger(__name__)
def main():
parser = argparse.ArgumentParser(description='Create a require... | NASA-PDS/pds-github-util | pds_github_util/requirements/generate_requirements.py | generate_requirements.py | py | 1,843 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pds_github_util.utils.addStandardArguments",
"line_number": 13,
"usage_type": "call"
},
{
... |
26623474829 | import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
from scipy.optimize import curve_fit
def vac(data, tsteps, npart):
trange = int((tsteps - 1) / 2)
vac = np.zeros(trange - 1)
for deltaT in range(1, trange):
## Cᵥ = ∑Cᵥ(t) / M
for t0 in range(trange):
## Cᵥ... | sofiabelen/Molecular-Dynamics-Course | vac.py | vac.py | py | 2,126 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.zeros",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "scipy.optimize.curve_fit",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"... |
73022609467 | #!/usr/bin/env python3
import json
from argparse import ArgumentParser
__version__ = "1.0.3"
def _load_cohort_info(cohort_json_file):
"""
Load a cohort json file
Args:
cohort_json_file (str): Path to the cohort JSON file
Returns:
(dict): A dict of cohort information
"""
with ... | PacificBiosciences/wdl-dockerfiles | docker/pyyaml/scripts/parse_cohort.py | parse_cohort.py | py | 4,978 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "json.load",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "yaml.dump",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 120,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_nu... |
39795600524 | import boto3
img = open("siem.jpeg", "rb")
dmx=img.read()
def add_faces_to_collection(bucket, photo, collection_id, idn):
client = boto3.client('rekognition',
aws_access_key_id=access_key_id,
aws_secret_access_key=secret_access_key,
... | SiemGHM/Login_with_Facial_Recognition | test.py | test.py | py | 4,748 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "boto3.client",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "boto3.client",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "boto3.client",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "boto3.client",
"line_number... |
26974675964 | # -*- coding: utf-8 -*-
"""
Created on Fri Oct 19 23:12:10 2018
"""
from subprocess import call
import os
import glob
import pytesseract
from PIL import Image
from PyPDF2 import PdfFileMerger
pytesseract.pytesseract.tesseract_cmd = r"C:\Program Files (x86)\Tesseract-OCR\tesseract.exe"
class Searcha... | madmak100/PDF_Reader_Exact | OCR_Searchable_pdf.py | OCR_Searchable_pdf.py | py | 4,053 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pytesseract.pytesseract",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "os.sep",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "subprocess.call"... |
40687413533 | from typing import Any, Callable, Dict, Iterable
from magma.enodebd.data_models import transform_for_magma
from magma.enodebd.data_models.data_model import DataModel, TrParam
from magma.enodebd.data_models.data_model_parameters import (
ParameterName,
TrParameterType,
)
from magma.enodebd.devices.freedomfi_one... | magma/magma | lte/gateway/python/magma/enodebd/devices/freedomfi_one/data_model.py | data_model.py | py | 9,523 | python | en | code | 1,605 | github-code | 6 | [
{
"api_name": "magma.enodebd.data_models.data_model.DataModel",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "magma.enodebd.data_models.data_model_parameters.ParameterName.DEVICE",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "magma.enodebd.data_model... |
28577181479 | from django import forms
from django.contrib.auth import get_user_model
from django.core.files.uploadedfile import SimpleUploadedFile
from django.test import Client, TestCase
from django.urls import reverse
from ..models import Comment, Follow, Group, Post
User = get_user_model()
class PostFormModelTest(TestCase):
... | NikitaSavvin/hw05_final | posts/test/test_views.py | test_views.py | py | 8,544 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.test.TestCase",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "django.test.Client",
"line_number": 17,
"usage_type": "call"
},
{
"api_nam... |
28296135730 | import asyncio
import websocket
from websocket import create_connection
import sender
import receiver
import webSocketManager
import time
from sensor import Sensor
from serial_communication import SerialCommunication
import json
class RaspManager:
"""
Rasp manager is reading the serial port and the server ( websock... | AlexFourgs/AVAST | Rasp/SocketCommunication/python_communication/central_com.py | central_com.py | py | 1,734 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.loads",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "webSocketManager.WebSocketManager",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "serial_commun... |
33821301574 | import time
import argparse
import numpy as np
import tensorflow as tf
import horovod.tensorflow as hvd
from sparse_operation_kit import experiment as sok
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--batch_size", type=int, default=8192)
parser.add_argument("--key_s... | NVIDIA-Merlin/HugeCTR | sparse_operation_kit/sparse_operation_kit/experiment/benchmark/benchmark/dynamic_variable_benchmark.py | dynamic_variable_benchmark.py | py | 2,505 | python | en | code | 849 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tensorflow.config.list_physical_devices",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "tensorflow.config",
"line_number": 19,
"usage_type": "attribute"
},
{... |
8864030266 | #!/usr/bin/env python3
'''
This script is related to the RQ6. It compares time execution with
more CPU available.
@author: Sotero Junior <https://soterojunior.github.io/>
The Arguments = <PROJECT_DIR> and <NUM_CORE> are required
# Usage: ./scalability_cores <PROJECT_DIR> <NUM_CORE>
# Example: ./scalability_cores .... | damorim/testsuite-parallelization | scripts/result_rq6/scalability_cores.py | scalability_cores.py | py | 5,340 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "subprocess.check_output",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "subprocess.CalledProcessError",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "re.sub",... |
9083824905 |
from args import ArgReader
from args import str2bool
import os
import glob
import torch
import numpy as np
from skimage.transform import resize
from skimage import img_as_ubyte
import matplotlib.pyplot as plt
plt.switch_backend('agg')
from sklearn.manifold import TSNE
import sklearn
import matplotlib.cm as cm
impor... | anony812/BR-CNN | code/processResults.py | processResults.py | py | 66,826 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.switch_backend",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "matplotlib.cm",
"line_number": 59,
"usage_type": "name"
},
{
"api_name": "matp... |
11983964901 | # -*- coding: utf-8 -*-
from urllib import request
import chardet
from os import path, makedirs, getcwd
import copy
from html import parser
from shutil import rmtree
root_url = u"http://www.opencv.org.cn/opencvdoc/2.3.2/html/index.html"
def get_base_url_path(root_url):
result = request.urlparse(root_url)
re... | yyFFans/DemoPractises | WebScrab/webscrab.py | webscrab.py | py | 5,902 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "urllib.request.urlparse",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "urllib.request",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "urllib.request.urlunparse",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "urll... |
24526224398 | import scipy.stats as st
import numpy as np
import sys
class PairMatch:
def __init__(self):
self.ref_d_value_means = None
self.ref_d_value_std = None
def paired_elements_measurements_to_d_values(self, l_meas, r_meas):
return l_meas - r_meas
def d_values_means(self, d_values):
... | jwarsom/osteometrics | osteometrics/pair_matching/pair_matching.py | pair_matching.py | py | 5,400 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.nanmean",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.nanstd",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.divide",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.absolute",
"line_nu... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.