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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
42775151544 | from .models import (
ActionList,
Action,
ExpectList,
Expect,
ExportDict,
SkipIfList,
SkipIf,
)
from .validators import validate_boolean, validate_conditionals,validate_export_dict
class ArgType:
type = lambda value: value # noqa
value = None
class UsingArgType(ArgType):
typ... | rochacbruno/ansible-test | ansible-test/plugins/module_utils/arg_types.py | arg_types.py | py | 4,795 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "models.ActionList",
"line_number": 41,
"usage_type": "name"
},
{
"api_name": "models.Action.Config",
"line_number": 63,
"usage_type": "attribute"
},
{
"api_name": "models.Action",
"line_number": 63,
"usage_type": "name"
},
{
"api_name": "models.Acti... |
32422202346 | import wolframalpha
import pprint
import json
class WolframAlpha:
def __init__(self, appId):
self.__client = wolframalpha.Client(appId)
self.__prettyPrinter = pprint.PrettyPrinter()
self.__pp = self.__prettyPrinter.pprint
def question(self, query):
if len(query.strip()) == 0:
return "Ask me a question... | IntercraftMC/InterCraftBot_Deprecated | src/modules/wolframalpha.py | wolframalpha.py | py | 1,122 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "wolframalpha.Client",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pprint.PrettyPrinter",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 26,
"usage_type": "call"
}
] |
42366591652 | from email.mime import base
from AES_encipher import CTR_Mode
from OAEP import *
from RSA_key_gen import AES_key_gen
from utility import bit_size
import base64
from math import ceil
class data_msg:
""" Class that holds the values used in the data transfer. """
def __init__(self, signature: bytes = None, msg: ... | Cezari0o/Gerador-Assinaturas-RSA | data_msg.py | data_msg.py | py | 3,301 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "base64.b64decode",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "math.ceil",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "utility.bit_size",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "base64.b64encode",
"l... |
75220903145 | import argparse
from . import test_data
from .. import music
from .. import key_recognition
def parse_args():
parser = argparse.ArgumentParser(
description='Test getting key from sounds')
parser.add_argument('--verbose_factor_threshold', '-Vft',
required=False,
... | JakubBilski/tonations-recognition | src/tests/key_from_sounds_test.py | key_from_sounds_test.py | py | 2,381 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 9,
"usage_type": "call"
}
] |
23403442036 | import random
import pygame
from pygame.locals import *
import logging
import numpy as np
import itertools
# logging.basicConfig(filename = 'Result.log', level=logging.INFO)
# copy Rohit Agrawal's work and modify for py_game version. It doesn't work really well but the concept has been applied.
pygame.init()
BLUE =... | nguyenkhanhhung91/Python_ReinforcementLearning | HumanVsQlearningBot.py | HumanVsQlearningBot.py | py | 6,564 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pygame.init",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pygame.font.SysFont",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pygame.font",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "pygame.display.set_m... |
73065938023 | # Script: 14 - Python Malware Analysis
# Author: Robert Gregor
# Date of latest revision: 302030FMAR23
# Objectives
# Perform an analysis of the Python-based code given below
# Insert comments into each line of the script explaining in your own words what the virus is doing on this line
# Insert co... | RobG-11/Ops301-Code-Challenges | 14_malware_analysis.py | 14_malware_analysis.py | py | 4,617 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.listdir",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_num... |
30332494769 | import streamlit as st
import pandas as pd
import numpy as np
import re
import emoji
import io
from collections import Counter
import datetime
import plotly.express as px
from numpy import random
from multiprocessing.dummy import Pool as ThreadPool
from wordcloud import WordCloud, STOPWORDS
from vaderSentiment.vaderSen... | RawRapter/Chat-Analytics-Dashboard | chat_analyze.py | chat_analyze.py | py | 11,100 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "streamlit.set_page_config",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "streamlit.markdown",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "streamlit.title",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "streamli... |
37760975497 | from rest_framework import renderers
from teslacoil.encoders import TeslaEncoder
class TeslaRenderer(renderers.JSONRenderer):
encoder_class = TeslaEncoder
def render(self, data, accepted_media_type=None, renderer_context=None):
model = renderer_context['view'].model
model_admin = renderer_co... | celerityweb/django-teslacoil | teslacoil/renderers.py | renderers.py | py | 614 | python | en | code | 5 | github-code | 36 | [
{
"api_name": "rest_framework.renderers.JSONRenderer",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.renderers",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "teslacoil.encoders.TeslaEncoder",
"line_number": 7,
"usage_type": "name... |
39056132329 | from numpy import genfromtxt,linspace, meshgrid,c_,where
from mudpy.view import plot_grd
from matplotlib import pyplot as plt
from scipy.interpolate import griddata
fault=genfromtxt('/Users/dmelgar/Slip_inv/Melinka_usgs/output/inverse_models/models/gsi_vr2.6.0011.inv.total')
grdfile='/Users/dmelgar/code/GMT/Melinka/l... | Ogweno/mylife | Melinka/get_avg_locking.py | get_avg_locking.py | py | 1,173 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.genfromtxt",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "mudpy.view.plot_grd",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.cm",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "matplotli... |
5216881963 | #!/usr/bin/env python3
import sys
from functools import reduce
import math
def sum(nums):
return reduce(lambda x, y: x + y, nums, 0)
def avg(nums):
return sum(nums) / len(nums)
def stddev(nums):
numerator = reduce(lambda x, y: (y - avg(nums))*(y - avg(nums)) + x, nums, 0)
return math.sqrt(numerator / (len(n... | lawrencetheabhorrence/Data-Analysis-2020 | hy-data-analysis-with-python-2020/part02-e05_summary/src/summary.py | summary.py | py | 759 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "functools.reduce",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "functools.reduce",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_numbe... |
34983405141 | #!/usr/bin/env python3
import pyowm
from pyowm.exceptions import OWMError
import sys, argparse
from datetime import datetime
import os
#os.environ['OPENWEATHER_API_KEY'] = 'aa1ab6974298fc6bf7303d6a22e073f9'
#os.environ['CITY_NAME'] = 'Honolulu'
def main(argv):
parser = argparse.ArgumentParser()
parser.add_arg... | vasooo/pannet | exercise_1/getweather.py | getweather.py | py | 1,169 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "pyowm.OWM",
... |
16098074633 | from selenium import webdriver
from webdriver_manager.firefox import GeckoDriverManager # The Webdriver
import pyautogui # To Click
import time # To wait and all
custom_site = input("Enter The Website to Download Video...") # Take the youtube video link as the input
driver = webdriver.Firefox(executa... | JhaRishikesh/Projects | YouTube Downloader.py | YouTube Downloader.py | py | 1,902 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "selenium.webdriver.Firefox",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "webdriver_manager.firefox.GeckoDriverManager",
"line_number": 6,
"usage_type": "call"
},
... |
34102793225 | import pyperclip, shelve, sys
mcbShelf = shelve.open('mcb')
#сохранятся содержимое буфера обмена
if len(sys.argv)==3 and sys.argv[1].lower() == 'save':
mcbShelf[sys.argv[2]] = pyperclip.paste()
print(sys.argv)
elif len(sys.argv) == 2:
if sys.argv[1].lower() == 'list':
pyperclip.copy(str(list(mcbS... | alex3287/PyCharmProjects | a_b_s/bufer.py | bufer.py | py | 555 | python | ru | code | 1 | github-code | 36 | [
{
"api_name": "shelve.open",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pyperclip.paste",
"line_numb... |
33293843048 | import pandas as pd
import requests
from io import StringIO
import plotly.express as px
import plotly.graph_objects as go
import seaborn as sns
import streamlit as st
from sklearn.metrics import confusion_matrix
from sklearn.model_selection import train_test_split
from sklearn.svm import SVC
from sklearn.... | Tudor1415/mlsandbox | main.py | main.py | py | 8,562 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "streamlit.cache",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "streamlit.slider",
"line_number": 41,
"usage_type": "call"
},
{
"ap... |
14075716492 | import matplotlib
matplotlib.rc('text', usetex = True)
from pylab import *
import os
#Use the dt distributions from Crescent City
#tide gauge to make example plots
d = loadtxt('cumulative_probs.yearly.100.txt')
figure(1,(12,9))
clf()
axes((.1,.1,.8,.38))
#Add 1.13 to get s referenced to MSL
s = d[:,0] - 2. +1.13
p... | rjleveque/pattern-method-paper | programs/tidepofzeta_dt.py | tidepofzeta_dt.py | py | 1,796 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "matplotlib.rc",
"line_number": 2,
"usage_type": "call"
}
] |
37662096318 | from PyQt5.QtWidgets import QLineEdit, QToolButton, QWidget, QFileDialog, QDialog, QTreeWidget, QRadioButton, QTreeWidgetItem, QTabWidget, QLabel, QCheckBox, QPushButton, QMessageBox
from pulse.utils import error
from os.path import basename
from PyQt5.QtGui import QIcon
from PyQt5.QtGui import QColor, QBrush
from PyQt... | atbrandao/OpenPulse_f | pulse/uix/user_input/plotAcousticFrequencyResponseInput.py | plotAcousticFrequencyResponseInput.py | py | 13,604 | python | en | code | null | github-code | 36 | [
{
"api_name": "numpy.max",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "numpy.searchsorted",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.legend",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "matplotlib.pypl... |
6689931275 | import json
import os
from signal import SIGKILL
from statistics import mean
from typing import List, Optional
from sebs.cache import Cache
from sebs.local.function import LocalFunction
from sebs.storage.minio import Minio, MinioConfig
from sebs.utils import serialize, LoggingBase
class Deployment(LoggingBase):
... | spcl/serverless-benchmarks | sebs/local/deployment.py | deployment.py | py | 4,773 | python | en | code | 97 | github-code | 36 | [
{
"api_name": "sebs.utils.LoggingBase",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "typing.List",
... |
27632896757 | import socket
import gui.main_gui as main_gui
import configparser
import lib.package
from PyQt5 import QtWidgets
from PyQt5.QtWidgets import QMessageBox
from game_class import Game_class
""" Загрузка параметров """
config = configparser.ConfigParser()
config.read("config.ini")
#Главное окно
class MainApp(QtWidgets.QM... | Arrakktur/game | client_game/main_class.py | main_class.py | py | 4,540 | python | ru | code | 0 | github-code | 36 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QMainWindow",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtWidgets",
"line_number": 14,
"usage_type": "name"
},
{
"api_na... |
70188062823 | #animation ICMECAT rose scatter plot with HI CME circles and in situ data
from scipy import stats
import scipy.io
from matplotlib import cm
import sys
import os
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
import numpy as np
import sunpy.time
import time
import pickle
import sea... | cmoestl/heliocats | scripts/icmecat_anim_circles_insitu_final_full.py | icmecat_anim_circles_insitu_final_full.py | py | 23,948 | python | en | code | 10 | github-code | 36 | [
{
"api_name": "scipy.io.readsav",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "scipy.io",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "scipy.io.readsav",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "scipy.io",
"line_... |
30494220256 | import pandas as pd
import numpy as np
import tensorflow as tf
import time
import os
import csv
from sklearn.preprocessing import MinMaxScaler
from keras.layers import Input
from keras.layers import Dense, LSTM, Dropout, Embedding, Input, Activation, Bidirectional, TimeDistributed, RepeatVector, Flatten
from k... | MeichenBu/2018-2019-SURF | CNN+LSTM/LSTM_old.py | LSTM_old.py | py | 7,596 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "keras.optimizers.Adam",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
... |
4724184190 | import sys
sys.path.append('/usr/local/lib/python3.7/site-packages')
import mido
import time
outport = mido.open_output('VirtualDevice Bus 1')
note_sequence = [57, 59, 60, 62, 57, 59, 55, 57]
for note in note_sequence:
time.sleep(0.25)
outport.send(mido.Message('note_on', note=note, velocity = 100))
tim... | krispenney/midi | test.py | test.py | py | 404 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.path.append",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "mido.open_output",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_nu... |
14640804692 | import logging
import logging.handlers
from flask import Flask, render_template, redirect, request
from flask_sqlalchemy import SQLAlchemy
from flask_login import LoginManager, UserMixin, login_user, login_required, logout_user, current_user
from forms import LoginForm, PaymentForm, PasswordForm, OccalcForm, ApikeyForm... | realname0000/torn_game_metrics | flask_graph_work/app.py | app.py | py | 84,701 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "re.numeric",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "re.compile",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number":... |
4833398186 | import re
import json
import numbers
import numpy as np
class Composition():
__atom_mass = {
# From NIST, "https://physics.nist.gov/cgi-bin/Compositions/stand_alone.pl?ele=&all=all&isotype=some"
'neutron': 1.00866491595,
'proton': 1.007276466621,
'electron': 0.000548579909065,
... | AmadeusloveIris/GraphNovo | genova/utils/BasicClass.py | BasicClass.py | py | 10,351 | python | en | code | 6 | github-code | 36 | [
{
"api_name": "re.findall",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numbers.Integral",
"line_number": 69,
"usage_type": "attribute"
},
{
"api_name": "json.dumps",
"line_nu... |
15719814735 | from PyQt5.QtWidgets import QCheckBox, QDialog, QDialogButtonBox, QTextEdit
from PyQt5.QtCore import Qt
from PyQt5.QtGui import QFont
from src.logic import QFrameBase, error_dialog
from src.frames.default import Ui_FrameDefault
from src.frames.utils.info import Ui_FrameInfo
from src.frames.utils.kde import Ui_FrameKd... | qooteen/health-weather_correlation-master | src/logic/utils.py | utils.py | py | 17,580 | python | ru | code | 0 | github-code | 36 | [
{
"api_name": "src.logic.QFrameBase",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "src.frames.default.Ui_FrameDefault",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "src.logic.QFrameBase.__init__",
"line_number": 79,
"usage_type": "call"
},
{
... |
40943557380 | from ruamel.yaml import YAML
from datetime import datetime
from common import *
import sys
def main():
fn = 'data/races.yaml'
if len(sys.argv) > 1:
fn = sys.argv[1]
yaml = YAML(typ='safe')
with open(fn, 'r') as fi:
ydat = yaml.load(fi)
prev_date = None
for race in ydat['races... | pkdawson/workrobot | print_schedule.py | print_schedule.py | py | 717 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.argv",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "ruamel.yaml.YAML",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.fromiso... |
70471621543 | # TODO : TRANSFORM INTO A CLASS AND CREATE A REPORT OF REGION TRIMMED
#~~~~~~~GLOBAL IMPORTS~~~~~~~#
# Standard library packages import
from os import remove, path
import gzip
from time import time
from sys import stdout
# Third party package import
from Bio import SeqIO
# Local library packages import
from pyDNA.U... | a-slide/pyDNA | RefMasker.py | RefMasker.py | py | 3,819 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "pyDNA.Utilities.mkdir",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "gzip.open",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numb... |
1239251599 | from django.shortcuts import render
from django.views.generic import View
from django.http import JsonResponse
from application.chart.models.chart import TopPosts_MH, TopPosts_WH, TopPosts_PVN, TopPosts_RW, TopPosts_BI, TopPosts_ROL, TopPosts_WE
class GetTopPosts(View):
def get(self, request):
models_map =... | jialinzou/DjangoDashboard | application/chart/views/get_top_posts.py | get_top_posts.py | py | 1,005 | python | en | code | 7 | github-code | 36 | [
{
"api_name": "django.views.generic.View",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "application.chart.models.chart.TopPosts_WH",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "application.chart.models.chart.TopPosts_MH",
"line_number": 10,
"usage... |
43639712257 | import os
from hashlib import md5
from bson.objectid import ObjectId
import datetime as dt
import re
def all_files(path):
files = []
with os.scandir(path) as entries:
for entry in entries:
entry_path = os.path.abspath(entry)
if entry.is_file() and os.path.splitext(entry_path)[... | blry/docker-flask-mongodb-uwsgi-nginx | parser/project/utils.py | utils.py | py | 1,316 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "os.scandir",
"line_number": 11,
"usage_type": "call"
},
{
"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.splitext",
"line_... |
21618567791 | from __future__ import absolute_import
import logging
import time
import unittest
from hamcrest.core.core.allof import all_of
from nose.plugins.attrib import attr
from apache_beam.examples import wordcount
from apache_beam.testing.pipeline_verifiers import FileChecksumMatcher
from apache_beam.testing.pipeline_verifi... | a0x8o/kafka | sdks/python/apache_beam/examples/wordcount_it_test.py | wordcount_it_test.py | py | 2,483 | python | en | code | 59 | github-code | 36 | [
{
"api_name": "unittest.TestCase",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "apache_beam.examples.wordcount.run",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "apache_beam.examples.wordcount",
"line_number": 29,
"usage_type": "name"
... |
9454038158 | # coding: utf-8
# Credits : https://gist.github.com/jason-w/4969476
from typing import List, Dict, Any
from mongoengine import (
Document,
ListField,
EmbeddedDocumentField,
DictField,
EmbeddedDocument,
FloatField,
DateTimeField,
ComplexDateTimeField,
IntField,
BooleanField,
... | nicolasjlln/lbc-challenge | app/database/utils.py | utils.py | py | 3,396 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "mongoengine.QuerySet",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_... |
23966001733 | # coding=utf-8
import pytest
from mockito import expect, mock, verify, verifyNoUnwantedInteractions, verifyStubbedInvocationsAreUsed, when
# noinspection PyProtectedMember
from elib_run._run import _run
@pytest.mark.parametrize(
'mute',
[True, False]
)
def test_exit(mute, caplog):
caplog.set_level(10, ... | theendsofinvention/elib_run | test/test_run.py | test_run.py | py | 3,523 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "mockito.mock",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "mockito.mock",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "mockito.when",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pytest.raises",
"line_numb... |
14838347473 | import re
import nltk
import spacy
from nltk import Tree
from nltk.corpus import brown
sentence = "A solution of piperidin-4-ol (100 mg, 0.989 mmol) and 3-((phenylsulfonyl)methylene)oxetane (prepared according to a published literature procedure: Wuitschik et al. J. Med. Chem. 53(8) 3227-3246, 2010, 416 mg, 1.977 mmo... | arrafmousa/generate_code | custom_tags.py | custom_tags.py | py | 2,826 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "re.findall",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "nltk.Tree",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "nltk.Tree",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "nltk.Tree",
"line_number": 38,
... |
72774806185 | from typing import Any, Dict, List, TypedDict
import torch as th
from tango.integrations.torch import DataCollator
from tango.integrations.transformers import Tokenizer
from dreambooth.steps.transform_data import PreprocessedExample
class BatchExample(TypedDict):
input_ids: th.Tensor
pixel_values: th.Tensor... | shunk031/tango-dreambooth | dreambooth/integrations/torch/data_collator.py | data_collator.py | py | 1,556 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "typing.TypedDict",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "torch.Tensor",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "torch.Tensor",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "tango.integratio... |
39665406570 | import gzip
import sys
from SPARQLWrapper import SPARQLWrapper, JSON
import gzip
from bs4 import BeautifulSoup
import re
import spacy
from spacy import displacy
from collections import Counter
import en_core_web_md
import difflib
import requests
import json
from elasticsearch import Elasticsearch
nlp = en_core_web_md.l... | SummerXIATIAN/wdps_asg1_group27 | code_es.py | code_es.py | py | 5,220 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "en_core_web_md.load",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "re.split",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_num... |
35798383779 |
from time import perf_counter
import numpy as np
import matplotlib.pyplot as plt
#The program uses the Velocity Verlet method to simulate the
#perihelion percession of Mercury over TT years divided into n
#time steps. In order to avoid problems with insuficient compter
#memory, one year at the time is simulated. When... | abjurste/A19-FYS4150 | Project5/Project5g.py | Project5g.py | py | 7,275 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.zeros",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": ... |
22355127515 | import ast
import os
import pathlib
import tempfile
from typing import Tuple
from mlrun import MLClientCtx
from mlrun.package.packagers.python_standard_library_packagers import (
BoolPackager,
BytearrayPackager,
BytesPackager,
DictPackager,
FloatPackager,
FrozensetPackager,
IntPackager,
... | mlrun/mlrun | tests/package/packagers_testers/python_standard_library_packagers_testers.py | python_standard_library_packagers_testers.py | py | 27,189 | python | en | code | 1,129 | github-code | 36 | [
{
"api_name": "tests.package.packager_tester.PackagerTester",
"line_number": 50,
"usage_type": "name"
},
{
"api_name": "mlrun.package.packagers.python_standard_library_packagers.NonePackager",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "tests.package.packager_tester... |
40851263636 | import json
def help():
helpprint = print("""
addcoins: plus Your coins.
minuscoins: minus Your coins.
help: shows this list.
coins: Shows how many coins do you have
""")
main()
def checkbalance():
with open('coins.json','r') as f:
get_balance = json.loads(f.... | hahayeslol12/CoinScript | main.py | main.py | py | 1,455 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "json.loads",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 42,
... |
29654851332 | """ A python program that scrapes news articles, classifies their sentiment, and creates a time series of sentiment over time """
import os
import openai
# Set OpenAI API key from environment
openai.api_key = os.environ.get('OPENAI_API_KEY', '')
def classify(query, search_model="ada", model="davinci"):
openai.Cla... | candiceevemiller/company-sentiment-analysis | main.py | main.py | py | 752 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "openai.api_key",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "openai.Classification... |
74470182182 | import unittest
import mock
import openstack.common.context
from openstack.common.middleware import context
class ContextMiddlewareTest(unittest.TestCase):
def test_process_request(self):
req = mock.Mock()
app = mock.Mock()
options = mock.MagicMock()
ctx = mock.sentinel.context... | emonty/openstack-common | tests/unit/middleware/test_context.py | test_context.py | py | 2,329 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "unittest.TestCase",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "mock.Mock",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "mock.Mock",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "mock.MagicMock",
"line... |
494409517 | # pylint doesn't understand pytest fixtures
# pylint: disable=unused-argument
from click.testing import CliRunner
from dagster_airflow.cli import scaffold
def test_build_dags(clean_airflow_home):
'''This test generates Airflow DAGs for several pipelines in examples/toys and writes those DAGs
to $AIRFLOW_HOME... | helloworld/continuous-dagster | deploy/dagster_modules/dagster-airflow/dagster_airflow_tests/test_build_dags.py | test_build_dags.py | py | 1,760 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "click.testing.CliRunner",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "dagster_airflow.cli.scaffold",
"line_number": 41,
"usage_type": "argument"
},
{
"api_name": "airflow.models.DagBag",
"line_number": 46,
"usage_type": "call"
}
] |
10315136743 | from __future__ import print_function
import sys
import mdtraj as md
from simtk.openmm import app
import simtk.openmm as mm
from simtk import unit
import argparse
class Tee(object):
def __init__(self, name, mode):
self.file = open(name, mode)
self.stdout = sys.stdout
def write(self, data):
... | vivek-bala/adaptive-msm-openmm | entk2/fs-peptide/simulate-fs.py | simulate-fs.py | py | 2,035 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.stdout",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "mdtraj.load",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "simtk.openmm.app.ForceField... |
5134070317 | from PyQt5.QtWidgets import QListWidget, QListWidgetItem
from PyQt5.QtWidgets import QWidget, QVBoxLayout
from whispering_assistant.window_managers.windows.base_window_template import BaseWindowTemplate
class ChoiceWindow(BaseWindowTemplate):
def __init__(self, parent=None, choices=[], process_cb=None):
... | engrjabi/WhisperingAssistant | whispering_assistant/window_managers/windows/choice_window.py | choice_window.py | py | 1,535 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "whispering_assistant.window_managers.windows.base_window_template.BaseWindowTemplate",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QVBoxLayout",
"li... |
43678975341 | # importing the requests library
import requests
import time
# defining the api-endpoint
URL = "http://127.0.0.1:5000/add"
# data to be sent to api
PARAMS = {
'TimeStamp':time.time(),
'Temp1':'24.00',
'Temp2':'24.00',
'TAmbiant':'23.00',
'Humidity':'35'}
# sending ... | mh49/HSTM | test_tools/post.py | post.py | py | 548 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "time.time",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 16,
"usage_type": "call"
}
] |
323540718 | # -*- coding: utf-8 -*-
"""Console script for mcc."""
import os
import click
from pydub import AudioSegment
from pydub.silence import split_on_silence
@click.command()
@click.argument('sound_path')
@click.option('--mls', default=500, help='沉默的时长，毫秒')
@click.option('--st', default=-30, help='无声的界限，如果比这个数值更小则认为是无声')
@... | nanke-ym/mcc | mcc/split.py | split.py | py | 1,227 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pydub.AudioSegment.from_wav",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pydub.AudioSegment",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "pydub.silence.split_on_silence",
"line_number": 19,
"usage_type": "call"
},
{
"api... |
44395709703 | import torch
import numpy as np
from book.pytorch.utils.helper import get_mnist_loader
import torch.nn.functional as F
from torch import nn
import matplotlib.pyplot as plt
class ConvDenoiser(nn.Module):
def __init__(self, encoding_dim):
super(ConvDenoiser, self).__init__()
# encoder layers
... | jk983294/morph | book/pytorch/autoencoder/cnn_denoise.py | cnn_denoise.py | py | 4,398 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torch.nn.Module",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numb... |
718069407 |
from django.db import models
from django.contrib.auth.models import User
from django.db.models.query import ModelIterable
from django.db.models.signals import post_save, post_init
import requests
import random
def sendNotification(usertoken, title, body):
userdata = {
"to": str(usertoken),
"notif... | haydencordeiro/FoodDeliveryDjango | food/models.py | models.py | py | 7,454 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "requests.post",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "django.db.models.Model",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "django.db.... |
10556749786 | import serial
import tkinter
from tkinter import*
TTY_DEVICE = "COM"
s=serial.Serial()
def init(port,text2):
global s
try:
s=serial.Serial(TTY_DEVICE + str(port), 115200, timeout=10)
print('connect com'+str(port))
text2.configure(state=tkinter.NORMAL)
text2.insert(1.0,'connect... | Zealua/PythonFirstTest | GUI/GUI_VGH/driver/comPort.py | comPort.py | py | 1,363 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "serial.Serial",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "serial.Serial",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tkinter.NORMAL",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "tkinter.DISABLED",
... |
72053024743 | import numpy as np
from scipy.optimize import fsolve
import matplotlib.pyplot as plt
from mars import Mars
emissivity_dessert = 0.5
emissivity_PV = 0.5
absorptivity_dessert = 0.5
absorptivity_PV = 0.5
delta_time = 24 * 60 * 60
f = 0.15
cp = 1
T_Atmosphere = 200
rho = 1
num_days = 700
# formula not given. Just a plac... | muedavid/Mars | main.py | main.py | py | 1,207 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "mars.Mars",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "numpy.cos",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 25,
... |
37779455706 | import json
from datetime import datetime as dt
from datetime import date as dto
import copy
class ProcessJsonPortfolio:
def calculate_average_price(self, _dict):
"""Calculate dollar cost average per security.
Args:
_dict (:obj:`dict`): Portfolio loaded from json.
Re... | lzy7071/portfolio_tools | portfolio_tools/util/process_json_portfolio.py | process_json_portfolio.py | py | 1,929 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "copy.deepcopy",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "datetime.date.today",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 44,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.str... |
31279947642 | from ray import serve
from typing import List, Dict
import json
import numpy as np
from scipy.optimize import linprog
@serve.deployment(num_replicas=1, ray_actor_options={"num_cpus": 1, "num_gpus": 0})
class LinearProgrammingService(object):
# def __init__(self):
def LinearProgramming(self, body: Dict):
... | tju-hwh/Yet-Another-Serverless-Benchmark | solver/ray_stateful/so/service/linear_programming.py | linear_programming.py | py | 1,180 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "typing.Dict",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "scipy.optimize.linprog",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "ray.serve.deployment",... |
40761385267 | import os
import sys
FILE_DIR = os.path.dirname(os.path.abspath(__file__))
# PROJ_DIR = FILE_DIR[:FILE_DIR.index('src')]
# sys.path.append(PROJ_DIR)
PROJ_DIR = os.path.abspath("..")
print(f"proj_dir is: {PROJ_DIR}, adding to sys.path")
import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.fu... | Qing25/demo | conditional_generation/frame.py | frame.py | py | 9,872 | python | en | code | 8 | github-code | 36 | [
{
"api_name": "os.path.dirname",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line... |
5460426589 | from functools import partial
from ._derived import Derived
from . import utilities
class Operation(Derived):
__slots__ = ('opkwargs', 'opfn')
def __init__(self,
*terms,
op = None,
**kwargs,
):
if type(op) is tuple:
sops, op = op[:-1], op[-1... | lmoresi/funcy | funcy/_operation.py | _operation.py | py | 972 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "_derived.Derived",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "functools.partial",
"line_number": 20,
"usage_type": "call"
}
] |
15826790722 | # Standard imports
import copy
import pandas as pd
import logging
import jsonpickle as jpickle
import sklearn.cluster as sc
# Our imports
import emission.storage.timeseries.abstract_timeseries as esta
import emission.analysis.modelling.tour_model.get_scores as gs
import emission.analysis.modelling.tour_model.get_user... | e-mission/e-mission-server | emission/analysis/modelling/tour_model/build_save_model.py | build_save_model.py | py | 7,787 | python | en | code | 22 | github-code | 36 | [
{
"api_name": "pandas.read_csv",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "jsonpickle.dumps",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "emission.storage.timeseries.abstract_timeseries.TimeSeries.get_uuid_list",
"line_number": 48,
"usage_typ... |
15207404869 | # 最短距离算法
import networkx as nx
debug = False
start_node = ('start', -1) # 初始节点
end_node = ('end', -1) # 终止节点
def fmt_edges(points, max_score=1.):
"""将节点得分列表格式化成距离矩阵
:param points list[[left, right, score]]
:return edges [(node_id1, node_id2, score)]
:return nodes [(left, right)]
"""
... | ibbd-dev/python-ibbd-algo | ibbd_algo/shortest_distance.py | shortest_distance.py | py | 2,510 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "networkx.DiGraph",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "networkx.dijkstra_path",
"line_number": 63,
"usage_type": "call"
}
] |
19022803935 | from aiogram.types import (
InlineKeyboardMarkup,
InlineKeyboardButton,
ReplyKeyboardMarkup,
KeyboardButton,
)
from main import admins_id
from utils.db_api.schemas.table_db import session, Contest
kb = ReplyKeyboardMarkup(resize_keyboard=True)
kb.add(KeyboardButton("Добавить конкурс")).add(... | A-Sergey/TelegramBot_Contest | keyboards/buttons.py | buttons.py | py | 1,574 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "aiogram.types.ReplyKeyboardMarkup",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "aiogram.types.KeyboardButton",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "aiogram.types.ReplyKeyboardMarkup",
"line_number": 14,
"usage_type": "call... |
3680795220 | import numpy as np
import cv2
import math
import subprocess
import shutil
import os
if not os.path.exists('/home/martin/fotos'):
os.makedirs('/home/martin/fotos')
image_sudoku_original = cv2.imread('/home/martin/sudoku/sudoku_recognition/testing3.jpeg')
cv2.imshow("Imagen original",image_sudoku_original)
cv2.wai... | msampietro/sudoku_recognition | sudoku.py | sudoku.py | py | 6,869 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.exists",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number":... |
16835981819 | import pytest
from backend.utils.assertions import assert_equals, assert_true
from backend.utils.helper import Helper
from front.data_for_tests.calender_data_for_tests import DataForTests
from front.pages.page import CalendarPage, CalendarConfiguration
@pytest.mark.usefixtures("setup", "test_config")
class TestCalen... | RivkaTestGit/MoonActive | front/tests/test_calender.py | test_calender.py | py | 3,347 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "front.pages.page.CalendarPage",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "backend.utils.helper.Helper.get_config_value_by_name",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "backend.utils.helper.Helper",
"line_number": 16,
"usag... |
42243061570 | import cant_utils as cu
import numpy as np
import matplotlib.pyplot as plt
import glob
import bead_util as bu
import tkinter
import tkinter.filedialog
import os, sys
from scipy.optimize import curve_fit
import bead_util as bu
from scipy.optimize import minimize_scalar as minimize
import pickle as pickle
import time
#... | charlesblakemore/opt_lev_analysis | scripts/general_analysis/not_yet_updated/straighten_cantilever_withpower.py | straighten_cantilever_withpower.py | py | 3,333 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "bead_util.load_dir_file",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "cant_utils.Data_dir",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "cant_utils.simple_loader",
"line_number": 63,
"usage_type": "attribute"
},
{
"api_nam... |
20760678532 | from re import T
from django.db import models
from machine.computations.examples import victorious_payment
from django.contrib.postgres.fields import ArrayField
# Create your models here.
class Machine(models.Model):
def empty_list():
return list()
# identificar la maquina que estamos usando
na... | montenegrop/casinoGames | machine/models.py | models.py | py | 1,286 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.db.models.Model",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 15,
"usage_type": "call"
},
{
"api_name"... |
41240226723 | # Importar Librerias
import pandas as pd
import json
# Opening JSON file
f = open('orderbooks_05jul21.json')
print(f)
# Returns JSON object as a dictionary
orderbooks_data = json.load(f)
ob_data = orderbooks_data['bitfinex']
# Drop Keys with none values
ob_data = {i_key: i_value for i_key,i_value in ob... | if722399/Laboratorio-1-MySt- | dataa.py | dataa.py | py | 578 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "json.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 17,
"usage_type": "call"
}
] |
18200360642 | import json
import os
import random
import shutil
from predictor import get_predictor
from yolox.tracking_utils.timer import Timer
import cv2
import numpy as np
def get_gt_by_frame(bbox_file: str):
gtByFrames = {}
# convert to List[bboxes, List[int]]
with open(bbox_file) as f:
annot = json.load(f)
... | chenzhutian/nba-Player-classifier | generate_samples.py | generate_samples.py | py | 4,488 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "json.load",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.makedirs",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "shutil.rmtree",
"line_number": ... |
22700582787 | import pathlib
import json
import numpy as np
import pandas as pd
from scipy.interpolate import SmoothBivariateSpline, UnivariateSpline
import matplotlib as mpl
import matplotlib.pyplot as plt
from .common import Timer, Tools
from .sim_ctr import RgbGrid
from .sim_reduce import Steps, ReduceModel
clas... | kailicao/mesa_apokasc | sim_synth.py | sim_synth.py | py | 8,766 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sim_ctr.RgbGrid.MASS_LIST",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "sim_ctr.RgbGrid",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "sim_ctr.RgbGrid.FEH_LIST",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_... |
496184917 | # -*- coding: utf-8 -*-
import time
import click
from click.testing import CliRunner
from dagster_aws.cli.term import Spinner, Term
def test_term():
def term_helper(term_cmd, prefix, exit_code=0):
@click.command()
def fn():
term_cmd('foo bar')
runner = CliRunner()
res... | helloworld/continuous-dagster | deploy/dagster_modules/libraries/dagster-aws/dagster_aws_tests/cli_tests/test_term.py | test_term.py | py | 1,054 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "click.command",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "click.testing.CliRunner",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "dagster_aws.cli.term.Term.error",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_na... |
32782552053 | import logging
import cabby
from events.stix import parse_stix_package, STIXPackage
def collect_indicator_packages(configuration: dict) -> STIXPackage:
for repository in configuration['repositories']:
yield from poll_repository(repository)
def poll_repository(repository: dict) -> list:
logging.deb... | noxdafox/iocep | events/taxii.py | taxii.py | py | 1,252 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "events.stix.STIXPackage",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "logging.debug",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cabby.create_client",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "logging.info... |
21518376045 | from __future__ import division
import scipy.optimize
import numpy as np
import json
import re
import cv2
_BLACK = (0, 0, 0)
_RED = (0, 0, 255)
_BLUE = (255, 0, 0)
_PURPLE = (204, 0, 153)
_ORANGE = (51, 153, 255)
_LBROWN = (0, 153, 230)
keypoint_colors = { '1': _RED, '2': _RED, '3': _RED, '4': _RED, '5': _RED,
... | egoodman92/semi-supervised-surgery | MULTITASK_FILES/KEYPOINTS_FILES/surgery-hand-detection-new/scripts/filter_bootstrap.py | filter_bootstrap.py | py | 8,359 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.zeros",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "numpy.concatenate",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "numpy.full",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "numpy.concatenate",
"lin... |
23642938118 | from flask import Flask,render_template,request,redirect,session,flash
app = Flask(__name__)
app.secret_key = 'Farn'
@app.route ('/')
def index():
return render_template('index.html')
@app.route ('/result', methods=['POST'])
def result():
if len(request.form['name']) < 1:
flash("Name cannot be em... | bmcconchie/DojoAssignments | Python/Flask/python_stack/flask_fundamentals/dataform/server.py | server.py | py | 946 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask.request.form",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "flask.request... |
17305255074 | # -*- coding: utf-8 -*-
"""
Created on Tue Sep 7 17:46:55 2021
@author: Administrator
"""
import SimpleITK as sitk
import numpy as np
import os
import cv2
from shutil import copyfile
import random
num=379
lists=['train_002_0000.nii.gz','train_019_0000.nii.gz','train_069_0000.nii.gz','train_101_0000.nii.gz','train_11... | xyndameinv/FLARE21 | process0.py | process0.py | py | 1,837 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "shutil.copyfile",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "shutil.copyfile",
"line... |
31734592611 | from modules import aws_sript, firestorage_code
import os
from flask import Flask, jsonify
from flask import render_template, request, redirect, url_for
from werkzeug.utils import secure_filename
import os, shutil
from flask_cors import CORS
from decorater_file import crossdomain
global app
app = Flask(__name__)
CORS... | akhlaq1/flask-aws-face-detect-api | app.py | app.py | py | 2,784 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_... |
20019809326 | #file used to take screenshot to baseline rectangle mappings off of
import cv2
cam = cv2.VideoCapture(0)
result, image = cam.read()
if result:
cv2.imshow("img_to_map", image)
cv2.imwrite("img_to_map.png", image)
cv2.waitKey(0)
cv2.destroyWindow("img_to_map")
else:
print("No image det... | thqtcher/physical-computing-final | app/config/python/screenshotter.py | screenshotter.py | py | 346 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.imwrite",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.waitKey",
"line_number... |
7615563038 | # -*- coding: utf-8 --
import re
import math
from multiprocessing import cpu_count, freeze_support
from multiprocessing.pool import Pool
import sys
from util import read_text_lines
from util import refine_line
from char2vec import load_model
B = 1
I = 0
'''
1. word2vec 모델 불러오기(from char2vec)
'''
def is_hangul(ch... | kimwansu/autospacing_tf | make_data.py | make_data.py | py | 9,337 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "re.sub",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "char2vec.load_model",
"line_number": 97,
"usage_type": "call"
},
{
"api_name": "char2vec.load_model",
"line_number": 104,
"usage_type": "call"
},
{
"api_name": "util.read_text_lines"... |
74144288102 | from django.core.management.base import BaseCommand
import os
from importlib import import_module
from django.conf import settings
from django.core.management import call_command
from newapp.utils import get_app_template_path, get_app_templates
APP_TEMPLATES = [ x.get('name') for x in get_app_templates() ]
class Com... | freezmeinster/django-newapp | newapp/management/commands/newapp.py | newapp.py | py | 2,670 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "newapp.utils.get_app_templates",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "os.walk",
"line_number": 20,
"usage_type": "call"
},
{
"api... |
43304002854 | import sys, os
import os.path
import shutil
from rpython.translator.translator import TranslationContext
from rpython.translator.tool.taskengine import SimpleTaskEngine
from rpython.translator.goal import query
from rpython.translator.goal.timing import Timer
from rpython.annotator.listdef import s_list_of_strings
fro... | mozillazg/pypy | rpython/translator/driver.py | driver.py | py | 24,503 | python | en | code | 430 | github-code | 36 | [
{
"api_name": "rpython.tool.ansi_print.AnsiLogger",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.environ.copy",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 54,
"usage_type": "attribute"
},
{
"api_name": "os... |
72312960103 | from typing import Dict, List, Optional, Tuple
import numpy as np
import torch
from torch import Tensor
import torch.nn as nn
import torch.nn.functional as F
from mmcv.utils import ConfigDict
from mmdet.core import bbox2roi
from mmdet.models.builder import HEADS
from mmfewshot.detection.models.roi_heads.meta_rcnn_roi_... | csuhan/VFA | vfa/vfa_roi_head.py | vfa_roi_head.py | py | 12,474 | python | en | code | 56 | github-code | 36 | [
{
"api_name": "torch.nn.Module",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"lin... |
30039556459 | import math
import numpy as np
from sympy import*
import matplotlib.pyplot as plt
class Solver:
def __init__(self, f, t0, y0, h, nsteps, inital_points):
self.f = f
self.t0 = t0
self.y0 = y0
self.h = h
self.nsteps = nsteps
self.inital_points = inital_points;
self.coef_ab = [
[1],
[1],
[3.0/2.0, ... | vserraa/Numerical-Methods | solver.py | solver.py | py | 9,570 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.array",
"line_number": 292,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 293,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 293,
"usage_type": "name"
},
{
"api_name": "matplotlib.py... |
10017544829 | from core.celery import app
from celery import Celery
import json
import subprocess
import os
from .models import Node, Offer
from django.utils import timezone
import tempfile
import redis
from .serializers import NodeSerializer, OfferSerializer
import calendar
import datetime
import requests
from api.serializers impor... | golemfactory/golem-stats-backend | stats-backend/api2/tasks.py | tasks.py | py | 17,630 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "redis.ConnectionPool",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "redis.Redis",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "models.Node.objects.filter",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "models.No... |
18045830902 | import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
def get_reward_curve(agents):
"""
Extract rewards from list of agents used in training
:param agents: list of agents used in training
:return: array of rewards
"""
return np.array([agent.reward_total for agent in agents])
... | hmdmia/HighSpeedRL | backend/utils/analysis.py | analysis.py | py | 7,951 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.array",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.argmax",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.convolve",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number... |
10525922454 | import copy
import torch
import torch.nn as nn
from .backbone import *
import numpy as np
import torch.nn.functional as F
import thop
def ConvBNReLU(in_chann, out_chann, ks, st, p=1):
return nn.Sequential(
nn.Conv2d(in_chann, out_chann, kernel_size=ks, stride=st, padding=p, bias=False),
nn.BatchNo... | yadongJiang/semantic-segmentation-projects | libs/cpnet/model.py | model.py | py | 7,478 | python | en | code | 5 | github-code | 36 | [
{
"api_name": "torch.nn.Sequential",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_num... |
152948829 | import PyQt6
import pandas as pd
from PyQt6 import QtWidgets, QtGui, QtCore
from PyQt6.QtCore import pyqtSignal, pyqtSlot, Qt
from PyQt6.QtWidgets import QListWidget, QFileDialog
from matplotlib.backends.backend_qtagg import FigureCanvasQTAgg
from matplotlib.figure import Figure
from gui.HyperParamterWidget import Hy... | Falrach94/deeplearning_ex4 | gui/MainWindow.py | MainWindow.py | py | 26,881 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "matplotlib.backends.backend_qtagg.FigureCanvasQTAgg",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "matplotlib.figure.Figure",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "PyQt6.QtWidgets.QMainWindow",
"line_number": 35,
"usage_type... |
69982633063 | import torch
import torch.nn as nn
from torch.nn import functional as F
import math
from typing import Tuple
device = "cuda" if torch.cuda.is_available() else "cpu"
class Embedding(nn.Module):
def __init__(self,
config,
vocab_size):
"""
Embedding generates le... | SkAndMl/MusGPT | model.py | model.py | py | 6,552 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "torch.cuda.is_available",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Module",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
... |
198794662 | import abc
from typing import Dict, List
from uuid import UUID
from moderation_ml_example.models import Post
class PostNotFoundError(Exception):
pass
class PostRepository:
__metaclass__ = abc.ABCMeta
async def save(self, post: Post) -> None:
...
async def get(self, id: UUID) -> Post:
... | mikeyjkmo/post-moderation-example | moderation_ml_example/repository.py | repository.py | py | 1,156 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "abc.ABCMeta",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "moderation_ml_example.models.Post",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "uuid.UUID",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "moderati... |
14716003738 | from sqlalchemy import create_engine, text, MetaData, Table, Column, Integer, String, select
engine = create_engine('postgresql://postgres:1@localhost/news_db')
meta = MetaData()
students = Table(
'students', meta,
Column('id', Integer, primary_key=True),
Column('first_name', String),
Column('last_na... | devabsaitov/self_study | sqlalchemy_lesson/Basic/7_using_aliases.py | 7_using_aliases.py | py | 494 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.MetaData",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Table",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sqlalchemy... |
2926954909 | import pandas as pd
import numpy as np
from multiprocessing.pool import ThreadPool
from multiprocessing import cpu_count
import operator
from collections import OrderedDict
import itertools
import time
from sklearn.metrics import accuracy_score
import visualization
visuals = visualization.Visualization()
... | aditya-srikanth/Data-Mining-Assignment-3 | LOF.py | LOF.py | py | 5,514 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "visualization.Visualization",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "itert... |
20101978227 | import cache
import timer
import lora
import websockets
import asyncio
import threading
import keyboard
import timestamp
def thread_function():
while (not cache.stop_thread):
timer.countdown(cache.t)
def thread_function_killer():
while (not cache.stop_thread):
record = keyboa... | juliogcm/lorawan-flow | websocket_client/client.py | client.py | py | 3,331 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "cache.stop_thread",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "timer.countdown",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "cache.t",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "cache.stop_thread... |
22565647008 | import numpy as np
import torch as th
from .gaussian_diffusion import GaussianDiffusion, mean_flat
class KarrasDenoiser:
def __init__(self, sigma_data: float = 0.5):
self.sigma_data = sigma_data
def get_snr(self, sigmas):
return sigmas**-2
def get_sigmas(self, sigmas):
return si... | openai/shap-e | shap_e/diffusion/k_diffusion.py | k_diffusion.py | py | 9,973 | python | en | code | 10,619 | github-code | 36 | [
{
"api_name": "torch.randn_like",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "gaussian_diffusion.mean_flat",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "gaussian_diffusion.mean_flat",
"line_number": 38,
"usage_type": "call"
},
{
"api_na... |
38251884357 | from django.db import models
all_pages = []
# Just switched to keeping it in-memory. No real need for a model here.
# class Page(models.Model):
# top = models.TextField(blank=True, null=True)
# middle_link = models.TextField(blank=True, null=True)
# middle_html = models.TextField(blank=True, null=True)
#... | skoczen/skoczen | project/apps/resume/models.py | models.py | py | 4,868 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "django.db.models.Model",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "django.db.models.DateTimeField",
"line_number": 20,
"usage_type": "call"
},
{
"api_n... |
34761412830 | import sys, os
import subprocess
import json
from typing import Union
from random import random
import web3
from web3 import Web3
from web3._utils.threads import Timeout
from solcx import compile_files
from eth_utils import decode_hex
# Project modules
from TextColor.color import bcolors
MGMT_CONTRACT_DB_NAME = 'dat... | acid9reen/bas | utils.py | utils.py | py | 11,123 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "web3.Web3",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "web3.eth.wait_for_transaction_receipt",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "web3.eth",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "web3.We... |
34234807737 |
class Employee:
raise_amount = 1.04
num_emps = 0
def __init__(self, first, last, pay):
self.first = first
self.last = last
self.pay = pay
self.email = first + '.' + last + '@company.com'
Employee.num_emps += 1
def fullname(self):
return... | latiful-hassan/OOP | staticmethods.py | staticmethods.py | py | 1,980 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "datetime.date",
"line_number": 57,
"usage_type": "call"
}
] |
34619647140 | import datetime
import json
import random
import requests
import numpy as np
import pandas as pd
from pkg_resources import resource_filename
class DataWrangler:
def __init__(self, wallet, start, end):
self.wallet = wallet
self.start = start
self.end = end
self.profit = None
... | karolow/currency-wallet | currency_wallet/utils/utils.py | utils.py | py | 3,114 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.DataFrame",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "random.sample",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "numpy.random.random",... |
39723292841 | #Find list of all sub_breed breed name
import requests
def get_json_dog_output_dict(url):
r = requests.get(url)
output = r.json()
return output
def get_breed_sub_breed_full_name():
dog_output = get_json_dog_output_dict(url = "https://dog.ceo/api/breeds/list/all")
dog_breed_output = dog_output["mes... | Swetha-Vootkuri/PythonSessions | dogs_api/breed_sub_breed_list.py | breed_sub_breed_list.py | py | 859 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 5,
"usage_type": "call"
}
] |
21185857238 | import pygame
from time import time
import os
## OPTIONS LIEES A L'AFFICHAGE
screen_width, screen_height = 1280, 720 # taille de la fenetre
show_interface = False # afficher le classement
ticks_per_second = 60 # nombre de mise à jour par seconde
empty_ground_color = (210, 210, 210) # couleur d'une terre inoccup... | JonathanOll/Pixel-War-Simulator | options.py | options.py | py | 1,495 | python | fr | code | 0 | github-code | 36 | [
{
"api_name": "pygame.font.init",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pygame.font",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "pygame.font.Font",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pygame.font",
... |
27029688469 | import torch
import numpy as np
import torch.nn as nn
class PositionalEncoding1D(nn.Module):
def __init__(self, num_pos_feats=64, temperature=10000, normalize=False, scale=None):
"""
:param channels: The last dimension of the tensor you want to apply pos emb to.
"""
super().__init__... | ViTAE-Transformer/DeepSolo | adet/layers/pos_encoding.py | pos_encoding.py | py | 3,339 | python | en | code | 177 | github-code | 36 | [
{
"api_name": "torch.nn.Module",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "torch.arange",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number"... |
35147097028 | import nltk
from functools import lru_cache
from nltk.corpus import stopwords
from nltk.stem.snowball import EnglishStemmer
import re
from bs4 import BeautifulSoup
class Preprocessor:
def __init__(self):
# Stemming is the most time-consuming part of the indexing process, we attach a lru_cache to the stemm... | sidsachan/movie_sentiment | preprocessor.py | preprocessor.py | py | 1,221 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "functools.lru_cache",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "nltk.stem.snowball.EnglishStemmer",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "nltk.tokenize.WhitespaceTokenizer",
"line_number": 15,
"usage_type": "call"
},
... |
15760194327 | import glob
import os
import sys
try:
sys.path.append(glob.glob('../carla/dist/carla-*%d.%d-%s.egg' % (
sys.version_info.major,
sys.version_info.minor,
'win-amd64' if os.name == 'nt' else 'linux-x86_64'))[0])
except IndexError:
pass
import carla
import random
import time
... | hchoi256/carla-research-project | Learning_Tasks/LT1/vehicle_camera.py | vehicle_camera.py | py | 3,348 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "sys.path.append",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "glob.glob",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.version_info",
"line_num... |
41230462018 | import numpy as np
import matplotlib.pyplot as plt
from pathlib import Path
from SnapOptimizer.optimization.snap_optimizer import SNAPGateOptimizer2Qubits, SNAPGateOptimizerStatePreparation
from SnapOptimizer.optimization.snap_pulse_optimizer import SNAPPulseOptimizer
import SnapOptimizer.qubit_gates as qubit_gates
fr... | Paulsson99/SnapOptimizer | SnapOptimizer/optimization/automation.py | automation.py | py | 5,537 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "SnapOptimizer.encodings.Encoding",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 31,
"usage_type": "call"
},
{
"api_name... |
28508158291 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('home', '0019_auto_20150312_1008'),
]
operations = [
migrations.CreateModel(
name='LinkCategory',
fie... | micahlagrange/rmlsa.com | rmlsa/home/migrations/0020_linkcategory_weblink.py | 0020_linkcategory_weblink.py | py | 1,164 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.CreateModel",
"line_number": 14,
"usage_type": "call"
},
... |
35478284383 | import os
import glob
import h5py
import json
import copy
import torch
import librosa
import numpy as np
import soundfile as sf
import speech_recognition as sr
from jiwer import wer
from tqdm import tqdm
from scipy import signal
from trainer import Trainer
from hps.hps import hp, Hps
from torch.autograd import Variable... | andi611/ZeroSpeech-TTS-without-T | convert.py | convert.py | py | 14,769 | python | en | code | 109 | github-code | 36 | [
{
"api_name": "librosa.istft",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "hps.hps.hp.hop_length",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "hps.hps.hp",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "hps.hps.hp.win_le... |
3302452099 | import telebot
import requests
import re
import os
from twilio.rest import Client
import pyrebase
bot = telebot.TeleBot("Replace this with telegram bot father key", parse_mode=None)
config = {
"apiKey": "",
"authDomain": "",
"databaseURL": "",
"storageBucket": ""
}
x = 0
y = 0
z = 0
q = 0
firebase = pyrebase.in... | harishsg99/Telegram-to-WA-bot | app.py | app.py | py | 2,041 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "telebot.TeleBot",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pyrebase.initialize_app",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "twilio.rest.Client",
"line_number": 75,
"usage_type": "call"
}
] |
13780351709 | import sys
from collections import deque
def div_area(q):
while q:
r, c = q.popleft()
for x, y in [[r + 1, c], [r - 1, c], [r, c + 1], [r, c - 1]]:
if 0<= x < n and 0<= y < m:
if area[x][y] == 0:
area[x][y] = -1
q.append([x, y])
... | Yangseyeon/BOJ | 03. Gold/2638.py | 2638.py | py | 1,281 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "collections.deque",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sys.stdin.readline",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "sys.stdin.readlin... |
5544666629 | import urllib.request
import datetime
import json
# 返回一个月内的cf场数和上/掉分情况
def get_CF_ContestCount(name):
apiUrl = "https://codeforces.com/api/user.rating?handle=" + name
try:
page = urllib.request.urlopen(apiUrl, timeout=2000)
s = page.read().decode('utf-8')
contestsData = json.loads(s)['... | Linzecong/LPOJ | CrawlingServer/CodeForceContestCounter.py | CodeForceContestCounter.py | py | 1,067 | python | en | code | 216 | github-code | 36 | [
{
"api_name": "urllib.request.request.urlopen",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "urllib.request.request",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "urllib.request",
"line_number": 10,
"usage_type": "name"
},
{
"api_nam... |
37952156492 | from math import sqrt
from itertools import product
import numpy as np
from scipy.special import factorial as fact
from functools import lru_cache
# The interaction matrix in desired basis
# U^{spherical}_{m1 m2 m3 m4} = \sum_{k=0}^{2l} F_k angular_matrix_element(l, k, m1, m2, m3, m4)
# H = \frac{1}{2} \sum_{ijkl,\si... | romerogroup/CondensedMatter_Jupyter | code/minimulti/electron/U_matrix.py | U_matrix.py | py | 19,979 | python | en | code | 7 | github-code | 36 | [
{
"api_name": "numpy.zeros",
"line_number": 84,
"usage_type": "call"
},
{
"api_name": "itertools.product",
"line_number": 90,
"usage_type": "call"
},
{
"api_name": "functools.lru_cache",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"... |
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