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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
25725949850 | """Define taskmanager utils tests."""
from django.test import TestCase
from taskmanager.models import AppCommand, Report, Task
from taskmanager.utils import log_tail
class TestUtils(TestCase):
"""A set of tests for utils."""
def setUp(self):
"""Prepare initial data for testing."""
self.comm... | openpolis/django-uwsgi-taskmanager | tests/test_utils.py | test_utils.py | py | 1,583 | python | en | code | 22 | github-code | 18 | [
{
"api_name": "django.test.TestCase",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "taskmanager.models.AppCommand.objects.get_or_create",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "taskmanager.models.AppCommand.objects",
"line_number": 14,
"usage... |
4365278641 | # -*- coding: utf-8 -*-
"""
Created on Mon Feb 7 22:32:01 2022
@author: franc
"""
import re
import string
from nltk.corpus import stopwords
stopw = stopwords.words('english')
new_stepw = list()
for word in stopw:
if "'" in word:
word_new1 = word.replace("'","’")
word_new2 = word.replace("'","‘"... | Fvrneto/Fake-News-Viewer | Modules_User/cleaning.py | cleaning.py | py | 944 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "nltk.corpus.stopwords.words",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwords",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "string.punctuation",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_nam... |
19790287230 | import requests, json
from bs4 import BeautifulSoup
from advanced_expiry_caching import Cache
# "crawling" -- generally -- going to all links from a link ... like a spiderweb
# its specific def'n varies, but this is approximately the case in all situations
# and is like what you may want to do in many cases when scrap... | zeeerglingchen/SI_507_project04 | sample_crawling_data.py | sample_crawling_data.py | py | 2,648 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "advanced_expiry_caching.Cache",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "bs4.Beau... |
21724851846 | import numpy as np
import matplotlib.pyplot as plt
import math
npr = np.random
from rllab.policies.gaussian_mlp_policy import GaussianMLPPolicy
import tensorflow as tf
from six.moves import cPickle
from collect_samples import CollectSamples
from get_true_action import GetTrueAction
import os
import copy
from helper_f... | anagabandi/nn_dynamics | mbmf.py | mbmf.py | py | 19,856 | python | en | code | 321 | github-code | 18 | [
{
"api_name": "numpy.random",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.contrib.layers.xavier_initializer",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "tensorflow.contrib",
"line_number": 30,
"usage_type": "attribute"
},
{
... |
12658045445 | """
Offline training of one decision tree for all the slices
10/12/2023
_______________
Summary: This script trains one DT for the three slices to have a fair comparison
between the explanations obtained from the the DRL agent with SHAP.
DISCLAIMER: THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF AN... | wineslab/explora | scripts/dt_train.py | dt_train.py | py | 5,504 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "xgboost.DMatrix",
"line_number": 84,
"usage_type": "call"
},
{
"api_name": "xgboost.DMatrix",
"line_number": 85,
"usage_type": "call"
},
{
"api_name": "xgboost.train",
"line_number": 88,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.accurac... |
18336786161 | import logging
import webapp2
from google.appengine.api import taskqueue
from current_stages import get_current_stages
TEMPLATE = '''\
<meta http-equiv="refresh" content="30">
<pre>
Things started:
%s
</pre>
'''
class RunStagesHandler(webapp2.RequestHandler):
def get(self):
things_started = []
for stage... | mithro/chrome-buildbot-sprint | appengine/run_stages.py | run_stages.py | py | 1,277 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "webapp2.RequestHandler",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "current_stages.get_current_stages",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "google.appengine.api.taskqueue.add",
"line_number": 23,
"usage_type": "call... |
24134707342 | from django import forms
from .models import *
from django.core.exceptions import ValidationError
from django.contrib.auth.models import User
class AddPostForm(forms.ModelForm):
class Meta:
model = Post
fields = ['title', 'slug', 'text', 'photo', 'is_published', 'category']
widgets = {
... | viktordoms/Blog_Django | blog_django/post/forms.py | forms.py | py | 925 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.forms.TextInput",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.... |
70354261800 | import argparse
from zquest.extract import ZeldaClassicReader
def uncompress_qst(input_path, output_path):
reader = ZeldaClassicReader(input_path, {'only_sections': []})
reader.read_qst()
reader.save_qst_no_serialize_no_compression(output_path)
if __name__ == '__main__':
parser = argparse.ArgumentPa... | connorjclark/zquest-data | examples/uncompress.py | uncompress.py | py | 545 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "zquest.extract.ZeldaClassicReader",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentDefaultsHelpFormatter",
"line_number": 13,
"usage_type": "attri... |
42507321168 | from django.conf import settings
from django.conf.urls import include, url, patterns
from django.contrib import admin
from django.views.generic.base import TemplateView
from common.decorators import openid_exempt
urlpatterns = [
# Examples:
# url(r'^$', 'trustwho.views.home', name='home'),
# url(r'^blog/',... | likun01/trushwho_wechat | trustwho/urls.py | urls.py | py | 1,097 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.conf.urls.url",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.include",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_... |
26890652518 | from flask import Flask, request, jsonify, json
from flask_api import status
from jinja2._compat import izip
from datetime import datetime
from flask_cors import CORS, cross_origin
from flaskext.mysql import MySQL
from flask import Blueprint
from flask_restplus import Api, Resource, fields
import requests
ap... | sutandra-coder/myelsa | student_favorite.py | student_favorite.py | py | 2,099 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flaskext.mysql.MySQL",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.Blueprint",
... |
3086896490 | """ Declear class-based view for exposing Chef model """
from django.db.models import Prefetch
from rest_framework.viewsets import ReadOnlyModelViewSet
from rest_framework.permissions import DjangoModelPermissionsOrAnonReadOnly
from community.models import Chef
from community.serializers import ChefSerializer, BaseCh... | raviteja2250/tabletop-backend-develop | community/views/chef.py | chef.py | py | 1,031 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "rest_framework.viewsets.ReadOnlyModelViewSet",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "community.models.Chef.objects.all",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "community.models.Chef.objects",
"line_number": 15,
"usage_... |
12235712926 | import numpy as np
from PIL import Image
import os
from categories import categories, class_dirs
class_labels = categories
class_dirs = class_dirs
class_means = []
class_stds = []
for i, class_dir in enumerate(class_dirs):
mean = np.zeros(3)
std = np.zeros(3)
num_images = 0
for filename in os.listdir... | Duc0509Ngo/Pokemon-classfication | src/mean_std.py | mean_std.py | py | 905 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "categories.categories",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "categories.class_dirs",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "categories.class_dirs",
"line_number": 12,
"usage_type": "argument"
},
{
"api_name": "n... |
4005606714 | import fractions # gcd is here for Python versions < 3
import math # Get gcd here for Python versions >= 3
import sys
from tensorflow.python.framework import ops
from tensorflow.python.framework import tensor_util
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import math_ops
from tensorflow.... | tensorflow/tensorflow | tensorflow/python/ops/signal/util_ops.py | util_ops.py | py | 1,804 | python | en | code | 178,918 | github-code | 18 | [
{
"api_name": "tensorflow.python.framework.ops.name_scope",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "tensorflow.python.framework.ops",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "tensorflow.python.framework.ops.convert_to_tensor",
"line_number":... |
29055249863 | # coding=utf-8
from collections import defaultdict
input_file1 = 'D:/Projects/Pycharm/SIR/Data/info_stat/RepostCountReal.txt'
input_file2 = 'D:/Projects/Pycharm/SIR/Data/info_stat/SpreadTree.txt'
output_file = 'D:/Projects/Pycharm/SIR/Data/info/big_info/'
mid = []
ratio = 0.9
repost_dict = defaultdict(list)
... | max-wayne/NetworkScience | SIR/python/CleanMeme/extract_big_info.py | extract_big_info.py | py | 1,294 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "collections.defaultdict",
"line_number": 10,
"usage_type": "call"
}
] |
17038070392 |
import os
print(os.path.abspath(__file__))
from docx2python import docx2python
from Resolution import Resolution
with open('resolution.docx', "w") as f:
doc = docx2python(f, html = True)
print(doc.text)
print("---------------------------------")
reso = Resolution(doc.text)
print(reso)
#import json
... | joshua2020181/MUNPartyChat | parseReso.py | parseReso.py | py | 1,329 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.abspath",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "docx2python.docx2python",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "Resolution.Resolut... |
7432298114 | #! /usr/bin/python3
import time
from flask import Flask, Response, jsonify
from flask_socketio import SocketIO, send
from transformers import (
AutoTokenizer,
AutoModelForCausalLM,
TextIteratorStreamer,
)
from langchain.llms.base import LLM
from langchain.vectorstores.pgvector import PGVector
from langcha... | ypwk/Lumi | backend/server_socket.py | server_socket.py | py | 8,852 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "langchain.embeddings.HuggingFaceEmbeddings",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "torch.cuda.cuda.is_available",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "torch.cuda.cuda",
"line_number": 36,
"usage_type": "attribute"
... |
18195969963 | #!/usr/bin/python3
import signal
import keyboard
import time
from datetime import datetime
# CONSTANTS, REPLACE THESE WITH YOUR OWN VARIABLES FOR YOUR OWN KEYBOARD
TIMEOUT_SECS = 0.2
LEFT_CTRL_CODE = 44
RIGHT_CTRL_CODE = 53
LEFT_SHIFT_CODE = 42
RIGHT_SHIFT_CODE = 54
LEFT_CTRL_REPLACE = 29
RIGHT_CTRL_REPLACE = 97
LEFT... | underscoreglook/Autohotkey-QMK-Replicator | QMK_Replicator.py | QMK_Replicator.py | py | 3,872 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "signal.signal",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "signal.SIGINT",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "keyboard.hook",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line... |
3081634754 | import itertools
from glob import glob
import os
from .gmx.rtp import read_rtp
from .ffinput import read_ff
from . import DATA_PATH
FORCE_FIELD_PARSERS = {'.rtp': read_rtp, '.ff': read_ff}
class ForceField(object):
"""
Description of a force field.
Attributes
----------
blocks: dict
links: l... | brandonwbrown/vermouth-martinize | vermouth/forcefield.py | forcefield.py | py | 4,384 | python | en | code | null | github-code | 18 | [
{
"api_name": "gmx.rtp.read_rtp",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "ffinput.read_ff",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "os.path.basename",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_n... |
16173765152 | #pip install gitpython
import os
import git
projectsFolder = '/home/gary/Projects/'
repoUrl = input("Repo url:")
repoName = repoUrl.split("/")[-1]
repoDir = os.path.join(projectsFolder,repoName)
print(repoDir)
try:
repo = git.Repo.init(repoDir)
repo.clone_from(repoUrl,repoDir)
except:
print("Repository i... | masekjakub/GitLoad | GitLoad.py | GitLoad.py | py | 342 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.join",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "git.Repo.init",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "git.Repo",
"line_number": 1... |
11175640242 | import datetime
import socket # Import socket module
import json
from rest_framework import viewsets
from rest_framework.response import Response
from django.shortcuts import render
from django.apps import apps
from django.http import JsonResponse
from django.views.generic import View
from app.words imp... | rafalsiniewicz/scrabble_solver | app/views.py | views.py | py | 3,273 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.views.generic.View",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "django.shortcuts.render",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "rest_framework.viewsets.ModelViewSet",
"line_number": 23,
"usage_type": "attribute"
}... |
34385170065 | from . import user_admin
from django.contrib import admin
from api import models
from . import inlines
@admin.register(models.Subject)
class SubjectAdmin(admin.ModelAdmin):
inlines = [inlines.CurriculumInline]
list_display = ["name", "curriculums"]
@admin.display()
def curriculums(self, obj):
... | Kwekuasiedu315/aska | api/admin/__init__.py | __init__.py | py | 1,581 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.contrib.admin.display",
"line_number": 13,
"usage_type": "call"
},
{
... |
6107287674 | #!/usr/bin/python3
import datetime
import math
import sys
import epd7in5
from PIL import Image, ImageDraw, ImageFont
import ical_worker
from config import *
#timezone = pytz.timezone(TIMEZONE)
#ical_worker.basetime = datetime.datetime.now(timezone)
#ical_worker.basetime.astimezone(timezone)
fheadline = ImageFont.tr... | dabch/epaper-calendar | beautiful_calendar.py | beautiful_calendar.py | py | 6,144 | python | en | code | 34 | github-code | 18 | [
{
"api_name": "PIL.ImageFont.truetype",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "PIL.ImageFont",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "PIL.ImageFont.truetype",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "PIL.Image... |
74817242280 | import tkinter as tk
from tkinter import ttk
from tkinter import filedialog
from PIL import Image, ImageTk, ImageFilter
import tkinter.messagebox
import pytesseract
import cv2
import numpy as np
def extract_text(Image_path):
# converts the image to text by taking the image path as an input
output_... | bodealamu/OCR_desktop_application | ocr_app.py | ocr_app.py | py | 4,372 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pytesseract.image_to_string",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "tkinter.Tk",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "tkinter.Tk.__init__",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "tkint... |
9290402335 |
import numpy as np
from numpy import array
import matplotlib.pyplot as plt
import string
import os
import glob
from PIL import Image
from time import time
from tensorflow.keras import Input, layers
from tensorflow.keras import optimizers
from tensorflow.keras.optimizers import Adam
from tensorflow.ke... | sharma-prerna/Image-Captioning-Generator | Image_caption_generator.py | Image_caption_generator.py | py | 12,341 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "string.punctuation",
"line_number": 60,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.imread",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 77,
"usage_type": "name"
},
{
"api_name": "ma... |
13521261236 | import smtplib
import os
from email.mime.multipart import MIMEMultipart
from email.mime.base import MIMEBase
from email.mime.text import MIMEText
from email.encoders import encode_base64
from email.utils import COMMASPACE, formatdate
def mail(sender, pwd, to, subject, text, files=[]):
msg = MIMEMultipart()
msg... | cwfink/Fink_ay250_homework | hw_3/email_example.py | email_example.py | py | 1,089 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "email.mime.multipart.MIMEMultipart",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "email.utils.COMMASPACE.join",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "email.utils.COMMASPACE",
"line_number": 12,
"usage_type": "name"
},
{
... |
72213111401 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Jan 7 17:33:56 2020
@author: yumin
"""
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Nov 19 11:08:39 2019
@author: yumin
"""
def collect_GCM():
import os
import glob
import shutil
variable = 'pr' #'tasmin' #'tasma... | yuminliu/Downscaling | src/prismdata_precipitation.py | prismdata_precipitation.py | py | 27,087 | python | en | code | 8 | github-code | 18 | [
{
"api_name": "os.path.exists",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number"... |
8210961651 | from django.core.paginator import Paginator
from django.shortcuts import render, get_object_or_404, redirect
from .models import Post, Groups
from django.contrib.auth import get_user_model, get_user
from .forms import NewPost
from django.contrib.auth.decorators import login_required
# Create your views here.
def fi... | Agiruskiy/yatube | posts/views.py | views.py | py | 4,343 | python | ru | code | 0 | github-code | 18 | [
{
"api_name": "models.Post.objects.order_by",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "models.Post.objects",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "models.Post",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "dja... |
41846848085 | from dataclasses import dataclass
from datetime import datetime
from functools import singledispatchmethod
from uuid import UUID
import cbaxter1988_utils.log_utils
from boe.applications.transcodings import (
TaskEntityTranscoding,
TaskStatusEnumTranscoding,
BytesTranscoding
)
from boe.lib.common_models imp... | byt3-m3/bank_of_excellence | boe/applications/task_domain_apps.py | task_domain_apps.py | py | 5,269 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cbaxter1988_utils.log_utils.log_utils.get_logger",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "cbaxter1988_utils.log_utils.log_utils",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "cbaxter1988_utils.log_utils",
"line_number": 22,
... |
39759233306 | # coding=utf-8
import sys
import telepot
from urllib.request import urlopen
from bs4 import BeautifulSoup
import pandas as pd
import re
import webbrowser
import traceback
import time
import spam
API_KEY = 'yFY%2BS0tRfVUf8ol%2FUjDARwS71qiyeewzzn7w%2Bv9JEQDV%2FmlRIbfelfcqdu5iTMyIWALgQ4GuFnmxtepshr7maw%3D%3D'
TOKEN = '4... | leebyeongcheol/2018-1-Python-bangkang | tele.py | tele.py | py | 3,722 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "telepot.Bot",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "traceback.print_exc",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 48,
"usage_type": "attribute"
},
{
"api_name": "urllib.request.urlope... |
15888921124 | import Adafruit_DHT
from datetime import datetime
class DHT11:
# [options] json with 'pin'= pin_number, type= any of '11','22','2302' ,
add_value = ("INSERT INTO webapp_entry "
"(sensor_id, type_id, value, created_at) "
"VALUES (%s, %s, %s, %s)")
value_names = ['temp', 'humi... | dfmoncada/Raspberry-API | mysite/webapp/classes/sensors/dht11.py | dht11.py | py | 1,298 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "Adafruit_DHT.DHT11",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "Adafruit_DHT.DHT22",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "Adafruit_DHT.AM2302",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name... |
73216571241 | import uvicorn
from fastapi import FastAPI
import os
app = FastAPI()
SECRETS_ROUTE = "/run/secrets/"
@app.get("/")
async def root():
return {"Response": "App works"}
@app.get("/envtest")
def envtest():
return {"Environmental variables": os.environ["envFoo"]}
@app.get("/secrettest")
def secrettest():
... | danielcastillac/docker-tests | main.py | main.py | py | 650 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "uvicorn.run",
"line_num... |
982751427 | # -*- coding: utf8 -*-
"""
Usage:
hookit [--scripts=<dir>] [--listen=<address>] [--port=<port>]
args:
--scripts=<dir> Where to look for hook scripts [default: .]
--listen=<address> Server address to listen on [default: 0.0.0.0]
--port=<port> Server port to listen on [default: 8000]
"""
import sys
... | tiwilliam/hookit | hookit/server.py | server.py | py | 3,837 | python | en | code | 5 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "logging.StreamHandler",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "github3.Git... |
71046570919 | import os
from collections import OrderedDict
from configparser import RawConfigParser
from monolithe.lib import TaskManager
from monolithe.generators.lib import TemplateFileWriter
class APIVersionWriter(TemplateFileWriter):
""" Provide usefull method to write Objj files.
"""
def __init__(self, monolith... | nuagenetworks/monolithe | monolithe/generators/lang/objj/writers/apiversionwriter.py | apiversionwriter.py | py | 6,462 | python | en | code | 16 | github-code | 18 | [
{
"api_name": "monolithe.generators.lib.TemplateFileWriter",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "os.path.normpath",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name... |
8381413579 | import os.path
import subprocess
import shutil
from copy import copy
from datetime import date, datetime
from pickle import dump, load
from glob import glob
from pelican.utils import slugify
import yaml
import pdfkit
from scribbler.PyPDF2 import PdfFileMerger
from .errors import ScribblerWarning, ScribblerError
from ... | cmacmackin/scribbler | scribbler/notebook.py | notebook.py | py | 23,964 | python | en | code | 8 | github-code | 18 | [
{
"api_name": "os.path.path.normpath",
"line_number": 109,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"line_number": 109,
"usage_type": "attribute"
},
{
"api_name": "os.path",
"line_number": 109,
"usage_type": "name"
},
{
"api_name": "os.path.path.join"... |
71615045800 | import unittest
import sys, os
sys.path.append(os.path.abspath(os.path.join('lib')))
import utils
import base64
class UtilsTest(unittest.TestCase):
def test_average_hamming_distance(self):
cipher_string = "0e3647e8592d35514a081243582536ed3de6734059001e3f535ce6271032\n"\
"334b041de12... | gauravmc/cryptopals | test/utils_test.py | utils_test.py | py | 1,646 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.path.append",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
70590119400 | import json
import os
import requests
from flask import g, render_template, request
from flask_login import login_user, logout_user
from oauthlib.oauth2 import WebApplicationClient
from werkzeug.utils import redirect
from keywordmanager import app
from keywordmanager.models.login.google_user import GoogleUser
from ke... | DatPhamABC/kwm | keywordmanager/views/login.py | login.py | py | 3,131 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "oauthlib.oauth2.WebApplicationClient",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "flask.g.user",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name":... |
45280539008 | import os
import os.path as osp
import random
import re
import pickle
import argparse
import numpy as np
from random import randint
from collections import defaultdict
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.utils.data import Dataset, DataLoader
from to... | sigirace/elmo_clone | paper/01_CNN/source/dataloader.py | dataloader.py | py | 4,927 | python | en | code | null | github-code | 18 | [
{
"api_name": "collections.defaultdict",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "torch.Tensor",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "gensim.models.KeyedVectors.load_word2vec_format",
"line_number": 93,
"usage_type": "call"
},
{
... |
34950497941 |
"""Wren - An interface for examining data and its relationships in a grid."""
from io import BytesIO
import logging
import os
import sys
from PyQt5.QtGui import QImage, QPixmap
# -- Globals ------------------------------------------------------------------
log = logging.getLogger('wren')
log.setLevel(logging.DEBU... | Lifto/Wren | wren.py | wren.py | py | 3,871 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "logging.StreamHandler",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplotlib... |
73899365480 | #!/usr/bin/env python3.9
import re
import json
import os
import sys
from typing import Any
from io import IOBase
from scapy.all import PcapReader, IP
from datetime import datetime
from datetime import timedelta
import argparse
#=============================
# Some General Definitions
#=============================
... | Daffc/RECloud | scripts/trace_scripts/converter.py | converter.py | py | 13,650 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.dirname",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
... |
18917522183 | from builtins import range
import numpy as np
import scipy.sparse as sp
import scipy.sparse.linalg
import time
import logging
def lm_optimize(eq_func, x0, jac_func, min_chisqr = 0.1,
stopping_criteria = 0.001, max_iteration = 50, boost = 2,
drop = 3, lambda_initial =0.1):
'''This ... | Cartography-jpl/geocal | python/lib/lm_optimize.py | lm_optimize.py | py | 3,660 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "time.process_time",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "time.process_time",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "time.process_ti... |
1581435210 | import sys
import requests
import json
# init weights
weight_title = sys.argv[2]
weight_date = sys.argv[3]
# preparing query data sys.argv[1] contains the query text
query = {
"query": {
"multi_match": {
"query": sys.argv[1],
"fields": ["title" + "^" + weight_title, "data" + "^" +... | nlok5923/ir-experiment-4-code | getDataScript.py | getDataScript.py | py | 799 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "sys.argv",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_numb... |
4789889667 | import numpy
import mnist as mnist
from keras.models import Sequential
from keras.layers import Dense
from keras.utils import np_utils
# make seed for cycle results
numpy.random.seed(42)
# load data
(X_train, y_train), (X_test, y_test) = mnist.load_data()
# resize data
X_train = X_train.reshape(60000, 7... | daryachyruk/3d_images_processing | 3d_picture/neir_netw.py | neir_netw.py | py | 1,399 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.random.seed",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "mnist.load_data",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "keras.utils.np_util... |
28941185891 | """Library for multiagent concerns."""
import collections
import numpy as np
import random
from pysc2.lib import actions, features, units
from utils import get_entity_obs, get_upgrade_obs, get_gameloop_obs, get_race_onehot, get_agent_statistics
from network import EntityEncoder, ScalarEncoder, SpatialEncoder, Core
_... | kimbring2/AlphaStar_Implementation | pseudocode/multiagent.py | multiagent.py | py | 16,028 | python | en | code | 162 | github-code | 18 | [
{
"api_name": "pysc2.lib.actions.FUNCTIONS",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "pysc2.lib.actions",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "pysc2.lib.actions.FUNCTIONS",
"line_number": 14,
"usage_type": "attribute"
},
{
... |
9460655031 | # module plotter
'''
Plots the residual vector vs. the number of iterations.
'''
import matplotlib.pyplot as plt
import scienceplots # pylint: disable=unused-import
import pandas as pd
res_data = pd.read_csv('../data/res.csv')
frc_data = pd.read_csv('../data/frc.csv')
plt.style.use(['science', 'grid'])
plt.figure(fi... | amilkyboi/euler | src/plotter.py | plotter.py | py | 1,521 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.style.use",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matplotli... |
24363472839 | # this problem is same as the max_sub_arr in same directory where it has been explain using kadan algorithm only differce is here the length of sub arr has been given.
# https://www.youtube.com/watch?v=__guhvzO540
# asymtotic function = len of arr * len of win (m*n)
def brute_force(arr, win=4):
max_sum = 0
for i in... | mushahidmehdi/Data-Structure-Algorithms | Array and Strings/sliding _window.py | sliding _window.py | py | 1,156 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "itertools.combinations",
"line_number": 35,
"usage_type": "call"
}
] |
4002002114 | import functools
import sys
from absl.testing import parameterized
import numpy as np
from tensorflow.python import pywrap_tfe
from tensorflow.python.eager import backprop
from tensorflow.python.eager import backprop_util
from tensorflow.python.eager import context
from tensorflow.python.eager import def_function
fro... | tensorflow/tensorflow | tensorflow/python/eager/backprop_test.py | backprop_test.py | py | 68,247 | python | en | code | 178,918 | github-code | 18 | [
{
"api_name": "tensorflow.python.eager.test.TestCase",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.python.eager.test",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "absl.testing.parameterized.TestCase",
"line_number": 43,
"usage_t... |
1838488839 | """
This file runs the ``Kalmnan-SEM`` function on the CiCMOD netCDF files.
The settings will be stored as "settings.yaml" in the ``results_path``.
Also multiple plots will be created and stored in the same directory.
An example would be :
python plot_CiCMOD.py --file_name climate_indices_FOCI.nc --experiment_name FO... | nilsnevertree/reconstruct-climate-indices | results/scripts/plot_CiCMOD.py | plot_CiCMOD.py | py | 13,048 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
... |
3822393604 | from PyQt5.QtGui import QTextFormat
from ..pktk import *
EXTRASELECTION_FILTER_KEEP = 0x0001
EXTRASELECTION_FILTER_REMOVE = 0x0002
EXTRASELECTION_FILTER_FCTTRUE = 0x0003
def flatten(items):
"""Return a flatten list whatever the number of nested level the list have
f=flatten([1,2,[3,4],[5,[6,7],[8,[9,10... | Grum999/BuliPy | bulipy/bulipy/pktk/modules/listutils.py | listutils.py | py | 4,834 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "PyQt5.QtGui.QTextFormat.UserProperty",
"line_number": 74,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtGui.QTextFormat",
"line_number": 74,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtGui.QTextFormat.UserProperty",
"line_number": 83,
"usage_type":... |
32735581364 | # python program to parse json
import json
import os
os.chdir('c:/Users/mayur/OneDrive/Documents/Study Material/Python/Interview/challenge-2/')
f = open('response.json', 'r')
result = f.read()
f.close()
my_dict = json.loads(result)
# Take key input from user
key = input("Enter metadata key")
val = my_dict[key]... | mayurk1993/19sept_assignment | challenge-2/challenge-2.py | challenge-2.py | py | 338 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.chdir",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 15,
"usage_type": "call"
}
] |
31229025345 | #!/usr/bin/env python
# -*- coding: utf-8
# Compute distance between nerve rootlets and PMJ, nerve rootlets and discs along centerline
#
# For usage, type: python compute_neck_angle.py -h
# Authors: Sandrine Bédard
import argparse
import csv
import math
from webbrowser import get
import numpy as np
import nibabel as ... | sct-pipeline/pmj-based-csa | compute_neck_angle.py | compute_neck_angle.py | py | 3,777 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "nibabel.Nifti1Header",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "nibabel.Nifti1Image",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "niba... |
38408073131 | import requests
from setup import INFO
import re
from bs4 import BeautifulSoup as Soup
class Engine:
def __init__(e, name, create_query):
e.name = name
e.create_query = create_query
def get_search_url(e, query):
INFO("original query: {}".format(query))
# lower case the query
... | arvindrag/ask.tv | src/engines.py | engines.py | py | 1,778 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "setup.INFO",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "setup.INFO",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "setup.INFO",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 26... |
22011315398 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Bot's work modules
import replies # send cliched message to a user.
import filesoper # save/load operations with files.
import lenta_api # requests to lenta.com
import os
import telegram
from telegram import (
InlineKeyboardButton,
InlineKeyboardMarkup
)
... | Moleus/LentaBot | Bot.py | Bot.py | py | 26,642 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "logging.Formatter",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "os.path.isdir"... |
74543977638 | from torch import nn
import torch
from attention import Attention
from config import opt
class Model(nn.Module):
def __init__(self, args):
super(Model, self).__init__()
self.args = args
self.content = nn.GRU(input_size=self.args.embedding_dim, hidden_size=self.args.hidden_dim, bidirectiona... | crystalyue/multi-view-rumor-detection | model.py | model.py | py | 3,657 | python | en | code | 13 | github-code | 18 | [
{
"api_name": "torch.nn.Module",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "torch.nn.GRU",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number"... |
39271576748 | import torch
import torch.nn as nn
import graph.mol_features as mol_features
import pdb
class GraphConv(nn.Module):
def __init__(self, args):
"""Creates graph conv layers for molecular graphs."""
super(GraphConv, self).__init__()
self.args = args
hidden_size = args.hidden_size
... | benatorc/PA-Graph-Transformer | modules/conv_layer.py | conv_layer.py | py | 2,783 | python | en | code | 40 | github-code | 18 | [
{
"api_name": "torch.nn.Module",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "graph.mol_features.N_ATOM_FEATS",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "grap... |
72394716839 | from flask import request, session
from auth.auth import is_authenticated, is_admin
from flask.json import jsonify
from models.patients import Patients, db, ma
from models.assessments import Assessments
from models.patient_screening_details import PatientsScreeningDetails
import pymysql
def create_patient():
data... | carloschiongbian/DeployMemores | flask-server/controllers/create_patient.py | create_patient.py | py | 2,794 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "flask.request.get_json",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.request",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "flask.session.get",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "flask.session"... |
41495684890 | from typing import Dict, Any, List, Set, Optional
class FhirMetaDataParser:
"""
Parses FHIR metadata
"""
@staticmethod
def get_resource_types_from_metadata(metadata: Dict[str, Any]) -> List[str]:
"""
Gets resource types present in the metadata
:param metadata:
... | icanbwell/SparkPipelineFramework | spark_pipeline_framework/utilities/fhir_meta_data_parser/v1/fhir_meta_data_parser.py | fhir_meta_data_parser.py | py | 1,003 | python | en | code | 10 | github-code | 18 | [
{
"api_name": "typing.Dict",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "typing.Set",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 20... |
23993062702 | import hail as hl
#Import mt file
print("Reading in mts...")
pop_strings = ['AFR', 'AJ', 'AMR', 'EAS', 'FIN', 'NFE', 'SAS']
cd_tables = []
ibd_tables = []
uc_tables = []
for pop_string in pop_strings:
cd_tables.append(hl.read_matrix_table('gs://ibd-exomes/' + pop_string + '_cd+control.mt'))
ibd_tables.append(hl.rea... | iibdgc/Crohn-s-Disease-WES-meta | Hail-scripts/analyses/GWAS/wald_lrt_firth.py | wald_lrt_firth.py | py | 1,759 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "hail.read_matrix_table",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "hail.read_matrix_table",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "hail.read_matrix_table",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "... |
20429468895 | from django.urls import path
from apps.banner.views import GetFrontPagelBannerApiView ,GetDescription
app_name='banner'
urlpatterns = [
path('frontpagebanner/',GetFrontPagelBannerApiView.as_view(),name='frontpage-banner'),
path('frontpagedescription/',GetDescription.as_view(),name='frontpagedescription'),
... | taniyaverma524/battle_from_home | applications/apps/banner/urls.py | urls.py | py | 322 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "apps.banner.views.GetFrontPagelBannerApiView.as_view",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "apps.banner.views.GetFrontPagelBannerApiView",
"line_number": 8,
"usa... |
17359073375 | from django.shortcuts import render, get_object_or_404, redirect
from django.http import HttpResponseRedirect
from django.contrib.auth.models import User
from django.contrib.auth.mixins import (
LoginRequiredMixin,
UserPassesTestMixin
)
from django.views.generic import (
ListView,
DetailView,
Crea... | mattguerrero/django-music-blog | blog/views.py | views.py | py | 4,762 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "os.environ.get",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_... |
23517777191 | from replicate.client import Client
from typing import Union
from fastapi import FastAPI
from googletrans import Translator
import uvicorn
from starlette.middleware import Middleware
from starlette.middleware.cors import CORSMiddleware
origins = [
"http://127.0.0.1:5500",
]
middleware = [
Middleware(CORSMiddl... | ArditXhaferi/BITI | main.py | main.py | py | 843 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "starlette.middleware.Middleware",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "starlette.middleware.cors.CORSMiddleware",
"line_number": 14,
"usage_type": "argument"
},
{
"api_name": "fastapi.FastAPI",
"line_number": 17,
"usage_type": "call"
... |
73998202599 |
import bpy
import math
import json
import copy
import time
import os.path
import pathlib
from math import radians, degrees
from mathutils import Color, Matrix, Euler, Vector
from threading import Thread
from bpy.app.handlers import persistent
from . import utils
class SceneConstructor:
def __init__(self, name... | Darkblader24/XPS-XNALara-Scene-Importer | core.py | core.py | py | 12,529 | python | en | code | 13 | github-code | 18 | [
{
"api_name": "bpy.data.collections.new",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "bpy.data",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "bpy.context.scene.collection.children.link",
"line_number": 31,
"usage_type": "call"
},
{
... |
20720074976 | # Databricks notebook source
# MAGIC %md
# MAGIC ##### Welcome to Azurelib Academy By Deepak Goyal
# MAGIC ##### You can master the Databricks here: <a href='https://adeus.azurelib.com' target='_blank'>www.adeus.azurelib.com</a>
# MAGIC ##### Author of this blog: Arud Seka Berne S <a href="https://www.linkedin.com/in/... | azurelib-academy/azure-databricks-pyspark-examples | 43. Pyspark Explode() Function/Pyspark Explode() Function - Notebook.py | Pyspark Explode() Function - Notebook.py | py | 3,293 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pyspark.sql.session.SparkSession.builder.master",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.session.SparkSession.builder",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql.session.SparkSession",
"line_number... |
29527258715 | #-*-coding:utf8 -*-
import os
import time
import cmd_tools
from config import ConfigParse
import log_utils
import manifest_utils
import my_utils
import zip_utils
from pack_exception import PackException
import pack_exception
import file_utils
import env
from time import sleep
class PackManager(o... | huangtao/cloud-test | vendor/RainbowRepacker/src/pack_managers/base_pack_manager.py | base_pack_manager.py | py | 14,598 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "os.path.join",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "env.SUPPORT_DIR",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "config.ConfigParse.sha... |
6013390442 | import numpy as np
import matplotlib.pyplot as plt
filename = "shifted_sawtooth_part_b.csv"
# filename = "sine_part_b.csv"
# filename = "chirp_part_b.csv"
data = np.loadtxt(filename, delimiter=",")
startIndex = int(data[0])
a = data[1]
b = data[2]
signalList = data[3:]
n = np.arange(startIndex, startIndex+len(signa... | gurhanadiguzel/METU-Ceng | CENG384/HW/HW1/Documents/hw1-b.py | hw1-b.py | py | 632 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.loadtxt",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"... |
24994299365 | import math
import os
import pickle
from enum import Enum
import numpy as np
from scipy import stats
from scipy.stats import norm, poisson
from utils.cumulative_distribution import CumulativeDistribution
class ParameterMode(Enum):
LOG_BASED = "LOG_BASED"
MODELED = "MODELED"
SIMULATED = "SIMULATED"
cla... | beneknopp/OCPS | backend/object_model_generation/generator_parametrization.py | generator_parametrization.py | py | 18,792 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "enum.Enum",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "enum.Enum",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "enum.Enum",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "enum.Enum",
"line_number": 31,
... |
10757896771 | import pandas as pd
import numpy as np
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import confusion_matrix
from sklearn.metrics import precision_score, recall_score, f1_score, accuracy_score
import matplotlib.pyplot as plt
import seaborn as sns
from collections import Counter
from s... | LeonardoVilela/toxic-nlp-study | codigos/tf-idf.py | tf-idf.py | py | 8,490 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "spacy.load",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "unidecode.unidecode",
"li... |
34358259374 | import pathlib
import unittest
import unittest.mock
import gpu_affinity
def get_mock_open(files: dict[str, str]):
def open_mock(filename, *args, **kwargs):
for expected_filename, content in files.items():
if filename == expected_filename:
return unittest.mock.mock_open(read_da... | NVIDIA/gpu_affinity | tests/test.py | test.py | py | 4,875 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "unittest.mock.mock_open",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "unittest.mock",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "unittest.mock.MagicMock",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "un... |
21843531956 | import numpy as np
import argparse
import csv
import matplotlib.pyplot as plt
from data_preprocess import load_data
from bayes_optuna_torch import optimizer_optuna, torch_cnn_lstm
if __name__ == "__main__":
# open file to store the data
header = ["Dataset", "Run", "Epoch", "Learning_Rate", "Vali... | Qianli-Wu/EEG_classification | Pytorch/main.py | main.py | py | 959 | python | en | code | 5 | github-code | 18 | [
{
"api_name": "csv.writer",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "data_preprocess.load_data",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "bayes_op... |
34856947646 | #CECI est un thread qui va tourner de manière indéfénie
import serial
import time
def count_words(a):
ser = serial.Serial('/dev/ttyUSB0')
while(True):
print('TWSS')
time.sleep(5)
u=ser.readline().decode()
print(u)
time.sleep(2)
return u
| kharzi-wissem/2019seecure | tasks.py | tasks.py | py | 299 | python | fr | code | 0 | github-code | 18 | [
{
"api_name": "serial.Serial",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 16,
"usage_type": "call"
}
] |
8321711813 | # -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import datetime
import functools
import jsonschema
import pytest
from oas.request_body.models import RequestBody
from oas.request_body.unmarshal... | grktsh/python-oas | tests/request_body/test_unmarshalers.py | test_unmarshalers.py | py | 2,943 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "oas.request_body.models.RequestBody",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "functools.partial",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "oas.request_body.unmarshalers.unmarshal_request_body",
"line_number": 36,
"usage_ty... |
41033852151 | from django.core.management.base import BaseCommand
from ticket_platform.models import Account
class Command(BaseCommand):
help = 'Add EUR account'
def handle(self, *args, **kwargs):
account = Account(currency='EUR')
self.stdout.write("EUR account ha been created")
| kamil1marczak/ticket-service | project/ticket_platform/management/commands/add_initial_account.py | add_initial_account.py | py | 294 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "ticket_platform.models.Account",
"line_number": 9,
"usage_type": "call"
}
] |
24722722339 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import httplib2
import os
import random
import sys
import time
from apiclient.discovery import build
from apiclient.errors import HttpError
from apiclient.http import MediaFileUpload
from oauth2client.client import flow_from_clientsecrets
from oauth2client.file import Sto... | raupulus/python-video-publisher | Models/Youtube.py | Youtube.py | py | 7,569 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "httplib2.RETRIES",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "httplib2.HttpLib2Error",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "os.... |
71829993961 | #!/usr/bin/env python
import pika
def sendErrorToQue(errorCode):
connection = pika.BlockingConnection(pika.ConnectionParameters('localhost'))
channel = connection.channel()
channel.queue_declare(queue='errors')
channel.basic_publish(exchange='errors',
routing_key='errors',
... | hanstoomassaarest/idu0080 | sendToQue.py | sendToQue.py | py | 386 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pika.BlockingConnection",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pika.ConnectionParameters",
"line_number": 6,
"usage_type": "call"
}
] |
37261229463 | import os
import shutil
import time
import zipfile
if __name__ == "__main__":
if os.path.isdir("build"):
shutil.rmtree("build")
if os.path.isdir("dist"):
shutil.rmtree("dist")
if os.path.isdir("spellbookrando"):
shutil.rmtree("spellbookrando")
os.system("pyinstaller spellbookrando.py --onefile")
# ugly for... | Logg-y/spellbookrando | setup.py | setup.py | py | 752 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.isdir",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "shutil.rmtree",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_numbe... |
74689668521 | import asyncio
from functools import reduce
from http.client import HTTPException
from operator import iconcat
from httpx import AsyncClient
from generator.parsers.parser_type import ParserType
from generator.source_type import SourceType
from generator.types import RepoData, RepoMeta, WrappedRepoData
async def dow... | Crec0/carpet-rules-database | generator/downloader.py | downloader.py | py | 2,505 | python | en | code | 15 | github-code | 18 | [
{
"api_name": "httpx.AsyncClient",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "generator.types.RepoData",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "generator.source_type.SourceType",
"line_number": 17,
"usage_type": "name"
},
{
"api_n... |
8562251439 | import unittest
from nlu.data import *
import sys
from contextlib import contextmanager
from io import StringIO
import re
@contextmanager
def captured_output():
new_out, new_err = StringIO(), StringIO()
old_out, old_err = sys.stdout, sys.stderr
try:
sys.stdout, sys.stderr = new_out, new_err
... | ciaochiaociao/ner_error_analysis | test/test.py | test.py | py | 8,296 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "io.StringIO",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "sys.stderr",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "sys.stdout",
"line_nu... |
776210609 | from celery import shared_task
from matches.models import Match, Delivery
import logging
logger = logging.getLogger(__file__)
@shared_task
def upload_matches(matches):
from matches.service.match_service import MatchService
match_list = []
logger.info('Match uploading started')
for match in matches:
... | aadil-reckonsys/ipl-statistics | ipl/ipl/apps/storage/tasks.py | tasks.py | py | 1,095 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "matches.models",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "matches.models.Match.objects.filter",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "m... |
39890739259 | from flask_app.config.mysqlconnection import connectToMySQL
from flask import flash
class Recipe:
db = "recipes_schema"
def __init__(self,data):
self.id = data['id']
self.name = data['name']
self.description = data['description']
self.instructions = data['instructions']
... | lisa-chen-58/Py20_Recipes | flask_app/models/recipe.py | recipe.py | py | 2,652 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask_app.config.mysqlconnection.connectToMySQL",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "flask_app.config.mysqlconnection.connectToMySQL",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "flask_app.config.mysqlconnection.connectToMySQL",... |
8321536963 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import falcon
from oas import Request
from oas import unmarshal_request
from oas.schema.unmarshalers import SchemaUnmarshaler
from oas.utils import cached_property
from s... | grktsh/falcon-oas | src/falcon_oas/middlewares.py | middlewares.py | py | 4,050 | python | en | code | 7 | github-code | 18 | [
{
"api_name": "falcon.HTTPBadRequest",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "oas.Request",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "oas.utils.cached_property",
"line_number": 57,
"usage_type": "name"
},
{
"api_name": "oas.... |
27644428178 | # plots.py
from __future__ import division
import matplotlib
matplotlib.rcParams = matplotlib.rc_params_from_file('../../matplotlibrc')
import numpy as np
from numpy import array as arr
from scipy.interpolate import interp1d
from scipy.linalg import solve
import matplotlib.pyplot as plt
from matplotlib.axis import Axi... | davidkartchner/Labs | Vol4B/FiniteElement/plots.py | plots.py | py | 3,993 | python | en | code | null | github-code | 18 | [
{
"api_name": "matplotlib.rcParams",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.rc_params_from_file",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy... |
21100941484 | import gc
import os
import pathlib
from collections import OrderedDict
import numpy as np
import onnx
import onnx_graphsurgeon as gs
import tensorrt as trt
import torch
from cuda import cudart
from diffusion_models import PipelineInfo
from engine_builder import EngineBuilder, EngineType
from polygraphy.backend.common ... | microsoft/onnxruntime | onnxruntime/python/tools/transformers/models/stable_diffusion/engine_builder_tensorrt.py | engine_builder_tensorrt.py | py | 19,243 | python | en | code | 9,700 | github-code | 18 | [
{
"api_name": "numpy.int32",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "numpy.int64",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "numpy.float16",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "numpy.float32",
... |
38374806075 | import speech_recognition as sr # pip install SpeechRecognition ..
import pyttsx3 # pip install pyttsx3 ..
import pywhatkit # pip install pywhatkit ..
import pyautogui # pip install pyautogui
import wikipedia # pip install wikipedia
import pyjokes # pip install pyjokes
import requests # pip install requests
impo... | MukeshCSK/Voice-Assistant | Alexa.py | Alexa.py | py | 20,555 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "speech_recognition.Recognizer",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pyttsx3.init",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "mysql.connector.connector.connect",
"line_number": 36,
"usage_type": "call"
},
{
"api_... |
23615303312 | from PIL import Image
from .quality_constants import ANTIALIASING
from .transformation import resize
def apply_texture(image, texture):
texture = Image.open(texture)
texture = resize(texture, (texture.size[0] * ANTIALIASING, texture.size[1] * ANTIALIASING))
texture = texture.point(lambda p: p * 2)
fo... | lamanchy/pil_quality_pdf | textures.py | textures.py | py | 536 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "PIL.Image.open",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "transformation.resize",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "quality_constants.ANTIALI... |
8263796020 | from api import app,mysql
from api.models import *
from flask import jsonify
@app.route("/Quiz")
def CreateQuiz():
nom_quiz = Quiz.getNom()
questions = Question.getQuestions(1)
quiz = {"questions" : questions }
y = 0
while y < len(quiz["questions"]):
quiz["questions"][y]["choi... | Ineslzr/testProjet | api/views/v1/quiz.py | quiz.py | py | 411 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.jsonify",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "api.app.route",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "api.app",
"line_number": 6,
"usage_type": "name"
}
] |
31791332261 | from Leetcode_Problems_Python.Solver_Interface import Solver
from typing import List
class BinarySearch_Sovler(Solver):
def solve(self, nums: List[int], target: int) -> int:
# M: divide search space in half each iteration:
i_s = 0
i_e = len(nums)-1
while i_s <= i_e:
... | Bussler/LeetCode_Grind75 | Leetcode_Problems_Python/BinarySearch_Solver.py | BinarySearch_Solver.py | py | 785 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "Leetcode_Problems_Python.Solver_Interface.Solver",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 7,
"usage_type": "name"
}
] |
3317943117 | # -*- coding: utf-8 -*-
"""
Created on Tue Mar 27 18:14:21 2018
@author: PavitrakumarPC
"""
import keras
import numpy as np
import cv2
import os
import pandas as pd
import matplotlib.pyplot as plt
from keras.layers import Conv2D, Dense, Input, Dropout, Flatten, Activation, MaxPooling2D, AveragePooling2D,... | pavitrakumar78/Street-View-House-Numbers-SVHN-Detection-and-Classification-using-CNN | train_digit_detection.py | train_digit_detection.py | py | 4,953 | python | en | code | 59 | github-code | 18 | [
{
"api_name": "keras.backend.set_image_dim_ordering",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "keras.backend",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "pandas.read_hdf",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os... |
26387095449 | #/usr/bin/env python3
#--*--coding:utf-8--*--
'''
/this is for process and plot the forc diagrams,
/icluding the conventional and irregualar forc.
/author: Jiabo
/GFZ potsdam
'''
import numpy as np
import itertools
import matplotlib
#matplotlib.use('Agg')
from matplotlib import pyplot as plt
from lmfit import minimize... | botaoxiongyong/pyFORC | old/pyFORC_rem.py | pyFORC_rem.py | py | 10,253 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "matplotlib.pyplot.scatter",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.show",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "ma... |
26965359280 | from __future__ import annotations
import dataclasses as dc
import itertools as it
import typing as t
import heapq as hq
import pprint as pp
Amphipod = t.Literal["A"] | t.Literal["B"] | t.Literal["C"] | t.Literal["D"]
Stack = tuple[Amphipod, Amphipod]
PStack = tuple[Amphipod, ...]
costs: dict[Amphipod, int] = {"A":... | kwshi/aoc-2021 | 23/23.py | 23.py | py | 5,719 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.Literal",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "typing.cast",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "typing.cast",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "itertools.permutations",
... |
3671137593 | # -*- coding: utf8 -*-
import os
import pytest
from flask import Flask
from flask_z3950.z3950 import Z3950Manager, Z3950Database
from flask_z3950.dataset import Dataset
import settings_test as settings
@pytest.fixture()
def app():
app = Flask(__name__)
app.config.from_object(settings)
z3950_manager = Z39... | alexandermendes/Flask-Z3950 | tests/conftest.py | conftest.py | py | 1,552 | python | en | code | 12 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask_z3950.z3950.Z3950Manager",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask_z3950... |
42796272893 | # coding=utf-8
from gensim import corpora
# 产生对应格式的texts
def to_texts(file):
datas = open(file, 'r')
texts = [[word for word in data.split(',')]
for data in datas]
return texts
# 统计维度，并生成对应的字典（去除停用词以及仅出现一次词的id）
def tokens(texts):
dictionary = corpora.Dictionary(texts)
dictionary.save(... | reflexzj/data.mining | build_corpus/do_corpus.py | do_corpus.py | py | 1,852 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "gensim.corpora.Dictionary",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "gensim.corpora",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "gensim.corpora.MmCorpus.serialize",
"line_number": 38,
"usage_type": "call"
},
{
"api_na... |
14342886595 | """
**Notes:**
A little less accurate than [ordinary least squares with MFC](3.html) but hard to tell if this is statistically significant.
Have a look at [ridge regression](10.html) for some interesting developments.
"""
from sklearn import linear_model
import numpy as np
import matplotlib.pyplot as plt
import rand... | dharness/sqwak | similarity-service/experiments/regression/ex12/main.py | main.py | py | 1,766 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "math.floor",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "random.shuffle",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "utils.mfc",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_number"... |
43697059845 | from utils.simple_logger import Log
from transformers import AutoModelForCausalLM, LlamaTokenizer, LlamaForCausalLM, BitsAndBytesConfig, AutoTokenizer, AutoModel
import torch
from langchain.embeddings import LlamaCppEmbeddings
from langchain.llms import LlamaCpp
from langchain import PromptTemplate, LLMChain
from lang... | wesleysanjose/ianow | doc_search_llm/modules/model_processor.py | model_processor.py | py | 5,159 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "sys.path.append",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "utils.simple_logger.Log.ge... |
9408617075 |
import json
def format_mapping_dicts(nodes):
"""
Convert text nodes to integer mappings
:param nodes:
:return:
"""
json_key = 'content'
output_nodes = load_json("./training_info/nodes.json")[json_key]
output_keywords = load_json("./training_info/keywords.json")[json_key]
output_... | mjpcollins/yulokudu | utils/t.py | t.py | py | 1,851 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "json.load",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 64,
"usage_type": "call"
}
] |
7458431632 | import os
import matplotlib.pyplot as plt
plt.rcParams['pdf.fonttype'] = 42
plt.rcParams['ps.fonttype'] = 42
plt.rcParams['font.family'] = 'serif'
from scipy.stats import truncnorm
import numpy as np
# import ipdb
import json
import torch
from torch.nn import init
from torchvision.utils import save_image, make_grid
... | mengyu-yang/ISSA | ISSA/util/utils.py | utils.py | py | 5,859 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 4,
"usage_type": "attribute"
},
{
"ap... |
32362873871 | from django.utils.html import format_html
from django.utils.translation import gettext_lazy as _
from cms.toolbar.items import Button, ButtonList
from djangocms_versioning.cms_toolbars import VersioningToolbar
from djangocms_version_locking.helpers import (
content_is_unlocked_for_user,
get_lock_for_content,... | FidelityInternational/djangocms-version-locking | djangocms_version_locking/monkeypatch/cms_toolbars.py | cms_toolbars.py | py | 2,569 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "cms.toolbar.items.Button",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "djangocms_version_locking.helpers.content_is_unlocked_for_user",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "djangocms_version_locking.helpers.get_lock_for_content",
... |
25073611324 | from keras import Sequential
from keras.models import Sequential
from keras.layers import Dense, Dropout, Flatten, Conv2D, MaxPool2D
from keras.datasets import fashion_mnist
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.metrics import classification_report, confusion_matri... | RS99/Cloth-Detector | asd.py | asd.py | py | 1,874 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "keras.datasets.fashion_mnist.load_data",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "keras.datasets.fashion_mnist",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "numpy.expand_dims",
"line_number": 14,
"usage_type": "call"
},
{
... |
21259099864 | #usage: python3 dnslook.py <domain or ip address>
#python3.x
import sys
import dns.resolver
import dns.reversename
import argparse
import ipaddress
parser = argparse.ArgumentParser()
parser.add_argument("destination")
args = parser.parse_args()
dest = args.destination
dnsrecords = ["A", "AAAA", "MX", "NS", "SOA", "TXT... | GinjaChris/dnslook | dnslook.py | dnslook.py | py | 1,621 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "ipaddress.ip_address",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "dns.resolver.reversename.from_address",
"line_number": 27,
"usage_type": "call"
},
{
... |
1204498881 | from telethon import TelegramClient, sync
import os
# import socks #如果你不需要通过代理连接Telegram，可以删掉这一行
from telethon.tl.types import InputMessagesFilterPhotos, InputMessagesFilterVideo
import json
# 读取 config
f = open('config.json', 'r')
content = f.read()
config = json.loads(content)
# =============需要被替换的值================... | HyanCat/telegram-dl | download.py | download.py | py | 1,828 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "json.loads",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "telethon.TelegramClient",
... |
22904906590 | import time
import requests
import sys
import json
from datetime import datetime
from colorama import Fore, Back, Style, init
coinNames = ["BTC-EUR", "ETH-EUR", "LTC-EUR", "BCH-EUR", "LINK-USD"]
USDTOEUR = 0.89
MAX_COINS = len(coinNames)
def loadCurrencies():
with open("currencies.txt") as file:
line = ... | carlos93/cryptotracker | collector.py | collector.py | py | 4,567 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "colorama.Fore.GREEN",
"line_number": 57,
"usage_type": "attribute"
},
{
"api_name": "colorama.Fore",
... |
42610173244 | import cv2
import picamera
import picamera.array
import time
with picamera.PiCamera() as camera:
with picamera.array.PiRGBArray(camera) as stream:
while True:
camera.capture(stream, format='bgr')
image = stream.array
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
... | nekonaute/thymioPYPI | OctoPY/rpifiles/tools/camera_tools/show_stream.py | show_stream.py | py | 567 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "picamera.PiCamera",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "picamera.array.PiRGBArray",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "picamera.array",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "cv2.cvtC... |
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