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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
4431c36c4fd3e408f1bf638719ad1ac60b363c44 | 45,011 | py | Python | main.py | Shabaquib/Library-Scraper-Using-BeautifulSoup | fa454521530471b48c346531c10041d45787a6a7 | [
"MIT"
] | null | null | null | main.py | Shabaquib/Library-Scraper-Using-BeautifulSoup | fa454521530471b48c346531c10041d45787a6a7 | [
"MIT"
] | null | null | null | main.py | Shabaquib/Library-Scraper-Using-BeautifulSoup | fa454521530471b48c346531c10041d45787a6a7 | [
"MIT"
] | null | null | null | # Z library
import wx
from wx.lib import scrolledpanel
import webbrowser
import io
from urllib.request import Request, urlopen
from bs4 import BeautifulSoup
import pyscreenshot
import win32gui
class PanelBase(wx.Panel):
'''Base Panel class for all panels'''
def __init__(self, parent, label, on_cl... | 45.465657 | 120 | 0.595121 |
a15ac9fb6eec6ab47400f9ac96accd44eef14b72 | 1,232 | py | Python | lib/surface/compute/ssl_certificates/__init__.py | bshaffer/google-cloud-sdk | f587382fd112f238c0d6d5ca3dab8f52d2b5c5f9 | [
"Apache-2.0"
] | null | null | null | lib/surface/compute/ssl_certificates/__init__.py | bshaffer/google-cloud-sdk | f587382fd112f238c0d6d5ca3dab8f52d2b5c5f9 | [
"Apache-2.0"
] | null | null | null | lib/surface/compute/ssl_certificates/__init__.py | bshaffer/google-cloud-sdk | f587382fd112f238c0d6d5ca3dab8f52d2b5c5f9 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*- #
# Copyright 2014 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requir... | 35.2 | 76 | 0.774351 |
9db6e20a263980c2394a103dd73f2952c68ab86d | 1,269 | py | Python | kafka/producer.py | MRazaKazmi/Startup-Where | 5e012be43bc2beee1e387af81bc45f1e237d6216 | [
"CECILL-B"
] | null | null | null | kafka/producer.py | MRazaKazmi/Startup-Where | 5e012be43bc2beee1e387af81bc45f1e237d6216 | [
"CECILL-B"
] | null | null | null | kafka/producer.py | MRazaKazmi/Startup-Where | 5e012be43bc2beee1e387af81bc45f1e237d6216 | [
"CECILL-B"
] | null | null | null | import time
import requests
from kafka import KafkaProducer
from json import dumps
import json
meetup_dot_com_rsvp_stream_api_url = "http://stream.meetup.com/2/rsvps"
kafka_topic_name = "meetuprsvptopic"
kafka_bootstrap_servers = 'localhost:9092'
if __name__ == "__main__":
print("Kafka Producer Application Starte... | 40.935484 | 134 | 0.676123 |
7c03b7fe57db756e38060a2cc74eebd2da21a47c | 42,178 | py | Python | mne/viz/ica.py | bloyl/mne-python | bf945f19d221a4955b59758fdb9777d35315c042 | [
"BSD-3-Clause"
] | 1 | 2016-10-27T20:07:23.000Z | 2016-10-27T20:07:23.000Z | mne/viz/ica.py | bloyl/mne-python | bf945f19d221a4955b59758fdb9777d35315c042 | [
"BSD-3-Clause"
] | null | null | null | mne/viz/ica.py | bloyl/mne-python | bf945f19d221a4955b59758fdb9777d35315c042 | [
"BSD-3-Clause"
] | null | null | null | """Functions to plot ICA specific data (besides topographies)."""
# Authors: Denis Engemann <denis.engemann@gmail.com>
# Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Teon Brooks <teon.brooks@gmail.com>
# Daniel McCloy <dan.mccloy@gmail.com>
#
# License: Simplified BSD
from functools i... | 37.793907 | 79 | 0.594362 |
072313288a0147d787e6fe2050ed7b0f6ef19dc9 | 1,461 | py | Python | Task2G.py | bendomb/IA-Flood-Warning-System | 8e476010e83b64aca8a05dc31f88fe2d6fbd3c9f | [
"MIT"
] | null | null | null | Task2G.py | bendomb/IA-Flood-Warning-System | 8e476010e83b64aca8a05dc31f88fe2d6fbd3c9f | [
"MIT"
] | null | null | null | Task2G.py | bendomb/IA-Flood-Warning-System | 8e476010e83b64aca8a05dc31f88fe2d6fbd3c9f | [
"MIT"
] | null | null | null | from floodsystem.stationdata import build_station_list
from floodsystem.stationdata import update_water_levels
from floodsystem.flood import stations_level_over_threshold
from floodsystem.flood import stations_highest_rel_level
from floodsystem.datafetcher import fetch_measure_levels
from floodsystem.analysis import po... | 31.76087 | 73 | 0.723477 |
0b12c4c0045f7bb5ca3800e10d5c2ee9b9dc1ddf | 23,680 | py | Python | scripts/scenes.py | Mu-L/yocto-gl | c5650f26166807e7046caf5072ce803d9220ed16 | [
"MIT"
] | null | null | null | scripts/scenes.py | Mu-L/yocto-gl | c5650f26166807e7046caf5072ce803d9220ed16 | [
"MIT"
] | null | null | null | scripts/scenes.py | Mu-L/yocto-gl | c5650f26166807e7046caf5072ce803d9220ed16 | [
"MIT"
] | null | null | null | #! /usr/bin/env python3 -B
import click, glob, os, sys, math, json, csv
@click.group()
def cli():
pass
@cli.command()
@click.option('--directory', '-d', default='mcguire')
@click.option('--scene', '-s', default='*')
@click.option('--format', '-f', default='json')
@click.option('--mode', '-m', default='path')
@... | 43.132969 | 273 | 0.547128 |
490882b05fcf6417078848aa9d3cb0d22b1c4262 | 5,720 | py | Python | tests/test_manage_py_scan.py | JulianFeinauer/pytest-django | f27c6aa1d44beb46fefa4718fefcf541478643d7 | [
"BSD-3-Clause"
] | null | null | null | tests/test_manage_py_scan.py | JulianFeinauer/pytest-django | f27c6aa1d44beb46fefa4718fefcf541478643d7 | [
"BSD-3-Clause"
] | null | null | null | tests/test_manage_py_scan.py | JulianFeinauer/pytest-django | f27c6aa1d44beb46fefa4718fefcf541478643d7 | [
"BSD-3-Clause"
] | null | null | null | import pytest
@pytest.mark.django_project(project_root="django_project_root", create_manage_py=True)
def test_django_project_found(django_testdir) -> None:
# XXX: Important: Do not chdir() to django_project_root since runpytest_subprocess
# will call "python /path/to/pytest.py", which will implicitly add cwd ... | 38.648649 | 355 | 0.740734 |
673f278418177ff9d8eaef3e77169115851cd127 | 14,600 | py | Python | src/sentry/models/debugfile.py | learninto/sentry | 4f9f564841498b3af49c1677d6b61f3e47b01923 | [
"BSD-3-Clause"
] | null | null | null | src/sentry/models/debugfile.py | learninto/sentry | 4f9f564841498b3af49c1677d6b61f3e47b01923 | [
"BSD-3-Clause"
] | null | null | null | src/sentry/models/debugfile.py | learninto/sentry | 4f9f564841498b3af49c1677d6b61f3e47b01923 | [
"BSD-3-Clause"
] | null | null | null | from __future__ import absolute_import
import re
import os
import six
import uuid
import time
import errno
import shutil
import hashlib
import logging
import tempfile
from django.db import models
from symbolic import Archive, SymbolicError, ObjectErrorUnsupportedObject, normalize_debug_id
from sentry import options... | 32.087912 | 96 | 0.614589 |
0d1fc25a37d0f67bf67092ba7f8e4a07e534824e | 377 | py | Python | ancor/arch_factory.py | guybuk/ANCOR | 229f8a52b81fa94cd584cbc6fc715697f98e43e2 | [
"Apache-2.0"
] | 34 | 2021-04-26T17:35:19.000Z | 2022-03-30T02:41:15.000Z | ancor/arch_factory.py | sxr9607/ANCOR | 229f8a52b81fa94cd584cbc6fc715697f98e43e2 | [
"Apache-2.0"
] | 5 | 2021-08-07T22:13:04.000Z | 2022-02-11T10:03:15.000Z | ancor/arch_factory.py | sxr9607/ANCOR | 229f8a52b81fa94cd584cbc6fc715697f98e43e2 | [
"Apache-2.0"
] | 6 | 2021-04-06T07:51:17.000Z | 2021-11-20T07:01:41.000Z | from models import model_pool
class ArchFactory(object):
def create_arch(self, arch_name):
encoder_q, encoder_k = model_pool[arch_name](), model_pool[arch_name]()
k2q_mapping = {k_name: q_name for q_name, k_name in
zip(encoder_q.state_dict().keys(), encoder_k.state_dict().ke... | 34.272727 | 89 | 0.676393 |
d0cb0fa44bd2c18c96268816cf62c6533664dfcb | 2,039 | py | Python | actleto/annotator/visualizers/image.py | IINemo/jupyter_al_annotator | 8e4256653c220fffdd15b1fdb30be0253c3f08f7 | [
"MIT"
] | 22 | 2017-09-25T16:15:54.000Z | 2022-01-07T22:27:30.000Z | actleto/annotator/visualizers/image.py | IINemo/jupyter_al_annotator | 8e4256653c220fffdd15b1fdb30be0253c3f08f7 | [
"MIT"
] | null | null | null | actleto/annotator/visualizers/image.py | IINemo/jupyter_al_annotator | 8e4256653c220fffdd15b1fdb30be0253c3f08f7 | [
"MIT"
] | 9 | 2017-09-14T13:59:17.000Z | 2022-02-22T16:15:17.000Z | import numpy as np
from ipywidgets import Image as WidgImage
from PIL import Image
import io
class ImageVisualizer(object):
"""Visualizer for images.
This visualizer can display images (e.g., MNIST), which are stored as rows
in a dataframe.
"""
def __init__(self, columns_range, img_shap... | 35.77193 | 108 | 0.589505 |
254461d7eb43d99aaabb1b2199c3728476045573 | 1,677 | py | Python | nipype/interfaces/brainsuite/tests/test_auto_Skullfinder.py | mfalkiewicz/nipype | 775e21b78fb1ffa2ff9cb12e6f052868bd44d052 | [
"Apache-2.0"
] | 1 | 2015-01-19T13:12:27.000Z | 2015-01-19T13:12:27.000Z | nipype/interfaces/brainsuite/tests/test_auto_Skullfinder.py | bpinsard/nipype | 373bdddba9f675ef153951afa368729e2d8950d2 | [
"Apache-2.0"
] | null | null | null | nipype/interfaces/brainsuite/tests/test_auto_Skullfinder.py | bpinsard/nipype | 373bdddba9f675ef153951afa368729e2d8950d2 | [
"Apache-2.0"
] | null | null | null | # AUTO-GENERATED by tools/checkspecs.py - DO NOT EDIT
from __future__ import unicode_literals
from ..brainsuite import Skullfinder
def test_Skullfinder_inputs():
input_map = dict(args=dict(argstr='%s',
),
bgLabelValue=dict(argstr='--bglabel %d',
),
brainLabelValue=dict(argstr='--brainlabel %d',
... | 26.203125 | 67 | 0.632081 |
6257dec38f889ea353ad670fc14a3418441ed5f4 | 37,314 | py | Python | dreamcoder/program.py | Hitoshi-Nakanishi/ec2 | b65905cdfb1a2451ad553fd15b937a7fc48fa9cf | [
"Unlicense"
] | null | null | null | dreamcoder/program.py | Hitoshi-Nakanishi/ec2 | b65905cdfb1a2451ad553fd15b937a7fc48fa9cf | [
"Unlicense"
] | null | null | null | dreamcoder/program.py | Hitoshi-Nakanishi/ec2 | b65905cdfb1a2451ad553fd15b937a7fc48fa9cf | [
"Unlicense"
] | null | null | null | # -*- coding: utf-8 -*-
from dreamcoder.type import *
from dreamcoder.utilities import *
from time import time
import math
class InferenceFailure(Exception):
pass
class ShiftFailure(Exception):
pass
class RunFailure(Exception):
pass
class Program(object):
def __repr__(self):
return str... | 28.948022 | 127 | 0.576298 |
d1d05ac0ceb6d4f5392bc3eff285d8d82b87c282 | 401 | py | Python | justathaught/asgi.py | sandipsandal/Just-A-Thought | 97f97404b303deb2ea7bcc86d89b2b21b3715fba | [
"Apache-2.0"
] | null | null | null | justathaught/asgi.py | sandipsandal/Just-A-Thought | 97f97404b303deb2ea7bcc86d89b2b21b3715fba | [
"Apache-2.0"
] | null | null | null | justathaught/asgi.py | sandipsandal/Just-A-Thought | 97f97404b303deb2ea7bcc86d89b2b21b3715fba | [
"Apache-2.0"
] | null | null | null | """
ASGI config for justathaught project.
It exposes the ASGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/3.0/howto/deployment/asgi/
"""
import os
from django.core.asgi import get_asgi_application
os.environ.setdefault('DJANGO_... | 23.588235 | 78 | 0.790524 |
b915fbbad49b902a60b0e12b2535b74abaa191ff | 601 | py | Python | main.py | hectorleiva/automated-video-downloader | 66466c114678e73d93b8b2370286ed59d6e558a4 | [
"MIT"
] | null | null | null | main.py | hectorleiva/automated-video-downloader | 66466c114678e73d93b8b2370286ed59d6e558a4 | [
"MIT"
] | null | null | null | main.py | hectorleiva/automated-video-downloader | 66466c114678e73d93b8b2370286ed59d6e558a4 | [
"MIT"
] | null | null | null | import os
import sys
HERE = os.path.dirname(os.path.realpath(__file__))
sys.path.append(os.path.join(HERE, "./vendored"))
from youtube_dl import main as youtube_downloader
PLAYLIST_URL = os.getenv('PLAYLIST_URL')
if not PLAYLIST_URL:
print('Unable to continue, no PLAYLIST_URL environment variable was set')
s... | 23.115385 | 77 | 0.665557 |
7fc168b5a58b34558e478b50f12234b86f5996c9 | 1,225 | py | Python | app/api/deps.py | VPPR/backend-2 | 454e037f67245cae102f17c902f0494013c94e82 | [
"MIT"
] | 1 | 2021-05-16T15:05:50.000Z | 2021-05-16T15:05:50.000Z | app/api/deps.py | VPPR/backend-2 | 454e037f67245cae102f17c902f0494013c94e82 | [
"MIT"
] | 6 | 2021-02-22T06:30:49.000Z | 2021-06-26T15:17:24.000Z | app/api/deps.py | VPPR/backend-2 | 454e037f67245cae102f17c902f0494013c94e82 | [
"MIT"
] | null | null | null | from fastapi import Depends, HTTPException, status
from jose import jwt
from mongoengine.errors import ValidationError
from app import crud
from app.core.config import settings
from app.core.security import oauth2_scheme
from app.schema.token import TokenPayload
from app.schema.user import User
def get_current_user(... | 32.236842 | 71 | 0.707755 |
10094e5c4abe42aad43afac78c041b9b4dede7b3 | 5,249 | py | Python | nipype/workflows/dmri/camino/group_connectivity.py | FredLoney/nipype | ceaa28dcbfe29ca4373479c897da9fc958167ccd | [
"BSD-3-Clause"
] | null | null | null | nipype/workflows/dmri/camino/group_connectivity.py | FredLoney/nipype | ceaa28dcbfe29ca4373479c897da9fc958167ccd | [
"BSD-3-Clause"
] | null | null | null | nipype/workflows/dmri/camino/group_connectivity.py | FredLoney/nipype | ceaa28dcbfe29ca4373479c897da9fc958167ccd | [
"BSD-3-Clause"
] | null | null | null | import os.path as op # system functions
import nipype.interfaces.io as nio # Data i/o
import nipype.interfaces.utility as util # utility
import nipype.pipeline.engine as pe # pypeline engine
from .connectivity_mapping import create_connectivity_pipeline
def create_group_co... | 53.020202 | 138 | 0.587922 |
ff07da283ff40192fc22fbce8e0961519722c932 | 6,248 | py | Python | train_ptb.py | Jinrohs/deep_maker | 21e62a53bc25023e5e4a95f7b33fe4ee0e46a361 | [
"MIT"
] | 1 | 2018-02-21T14:40:52.000Z | 2018-02-21T14:40:52.000Z | train_ptb.py | Jinrohs/ChatelliteVoiceDeepLearning | 21e62a53bc25023e5e4a95f7b33fe4ee0e46a361 | [
"MIT"
] | null | null | null | train_ptb.py | Jinrohs/ChatelliteVoiceDeepLearning | 21e62a53bc25023e5e4a95f7b33fe4ee0e46a361 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
"""Sample script of recurrent neural network language model.
This code is ported from following implementation written in Torch.
https://github.com/tomsercu/lstm
"""
from __future__ import print_function
import argparse
import math
import sys
import time
import numpy as np
import six
import si... | 31.555556 | 78 | 0.65525 |
106a9e63aee7d5606cafb1627d4153a26109e280 | 1,650 | py | Python | load_options_data.py | thomasvandewiel-sai/option-strategies | 1d4e8dbb18b68136a5150382811929cb793aec91 | [
"Apache-2.0"
] | null | null | null | load_options_data.py | thomasvandewiel-sai/option-strategies | 1d4e8dbb18b68136a5150382811929cb793aec91 | [
"Apache-2.0"
] | null | null | null | load_options_data.py | thomasvandewiel-sai/option-strategies | 1d4e8dbb18b68136a5150382811929cb793aec91 | [
"Apache-2.0"
] | null | null | null | from yahoo_fin import stock_info, options
from datetime import date, datetime, timedelta
import numpy as np
DAYS_IN_FUTURE = 45
TICKER = "AAPL"
OPTION_STRATEGY = "iron_scondor"
class AnalyzeOptions:
def __init__(self) -> None:
# Initialize dates
self.date_today = []
self.desired_option_d... | 28.448276 | 106 | 0.664848 |
96cd53f9b1c52984a9fe413c2d60ad87e7afaa39 | 7,552 | py | Python | sap/cli/gcts.py | jakub-vaclavik-sap/sapcli | a0f40c3b2363bba0d34f705d92dd420d9adf3987 | [
"Apache-2.0"
] | null | null | null | sap/cli/gcts.py | jakub-vaclavik-sap/sapcli | a0f40c3b2363bba0d34f705d92dd420d9adf3987 | [
"Apache-2.0"
] | null | null | null | sap/cli/gcts.py | jakub-vaclavik-sap/sapcli | a0f40c3b2363bba0d34f705d92dd420d9adf3987 | [
"Apache-2.0"
] | 1 | 2022-01-10T03:58:03.000Z | 2022-01-10T03:58:03.000Z | """gCTS methods"""
import sap.cli.core
import sap.cli.helpers
import sap.rest.gcts
def print_gcts_message(console, log, prefix=' '):
"""Print out the message with its protocol if it exists."""
if isinstance(log, str):
message = log
else:
message = log.get('message', None)
if message... | 29.5 | 106 | 0.637182 |
ed489ed858b00ac9d511932404f571fca37caf6b | 1,252 | py | Python | homeassistant/helpers/__init__.py | sgrzys/AIS-home-assistant | 7bfc4d6d90de75eea06702c36474d91bf38df3bf | [
"Apache-2.0"
] | 7 | 2018-08-03T10:15:36.000Z | 2019-03-25T13:31:55.000Z | homeassistant/helpers/__init__.py | sara0871/https-wakatime.com-android-studio | 5a15b2c036b332c17d5f6a06664378e9273d684f | [
"Apache-2.0"
] | 6 | 2021-02-08T20:25:50.000Z | 2022-03-11T23:27:53.000Z | homeassistant/helpers/__init__.py | sara0871/https-wakatime.com-android-studio | 5a15b2c036b332c17d5f6a06664378e9273d684f | [
"Apache-2.0"
] | 3 | 2018-09-14T07:34:09.000Z | 2018-09-29T12:57:10.000Z | """Helper methods for components within Home Assistant."""
import re
from typing import Any, Iterable, Tuple, Sequence, Dict
from homeassistant.const import CONF_PLATFORM
# pylint: disable=invalid-name
ConfigType = Dict[str, Any]
def config_per_platform(config: ConfigType,
domain: str) -> I... | 29.116279 | 77 | 0.646166 |
c138ceaa64724bb478c8a985ea110830e78e9b5e | 1,869 | py | Python | hassio/services/interface.py | xebbmw/hassio-supervisor | ce3f6705977e344b968f916a20e3358ce710845e | [
"Apache-2.0"
] | 1 | 2019-09-03T14:09:06.000Z | 2019-09-03T14:09:06.000Z | hassio/services/interface.py | xebbmw/hassio-supervisor | ce3f6705977e344b968f916a20e3358ce710845e | [
"Apache-2.0"
] | null | null | null | hassio/services/interface.py | xebbmw/hassio-supervisor | ce3f6705977e344b968f916a20e3358ce710845e | [
"Apache-2.0"
] | 1 | 2019-12-11T01:02:47.000Z | 2019-12-11T01:02:47.000Z | """Interface for single service."""
from typing import Any, Dict, List, Optional
import voluptuous as vol
from ..addons.addon import Addon
from ..const import PROVIDE_SERVICE
from ..coresys import CoreSys, CoreSysAttributes
class ServiceInterface(CoreSysAttributes):
"""Interface class for service integration.""... | 29.203125 | 75 | 0.628143 |
04cddd2fcc4466731fcaab150e18b2f572a8bdde | 1,039 | py | Python | main.py | TheMody/NiceInit | 3de2c75708ac7b305640266dc0511b81f3c2cad9 | [
"MIT"
] | null | null | null | main.py | TheMody/NiceInit | 3de2c75708ac7b305640266dc0511b81f3c2cad9 | [
"MIT"
] | null | null | null | main.py | TheMody/NiceInit | 3de2c75708ac7b305640266dc0511b81f3c2cad9 | [
"MIT"
] | null | null | null | import argparse
import os
import datetime as dt
import configparser
from logger import Logger
import shutil
import sys
def main():
parser = argparse.ArgumentParser(
formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument('--config_file', help='path_to_config_file', type=str, de... | 29.685714 | 101 | 0.644851 |
28858ca166d7af857a33f6741535946bc73e5f95 | 36 | py | Python | tests/__init__.py | rapid7/leexportpy | 441db1710399d6f8dc41aaf1b474b5f8ca9d7018 | [
"MIT"
] | 2 | 2016-07-05T09:18:20.000Z | 2016-07-12T19:48:37.000Z | tests/__init__.py | logentries/leexportpy | 441db1710399d6f8dc41aaf1b474b5f8ca9d7018 | [
"MIT"
] | 7 | 2016-06-28T13:47:57.000Z | 2016-07-22T11:13:16.000Z | tests/examples/__init__.py | rapid7/leexportpy | 441db1710399d6f8dc41aaf1b474b5f8ca9d7018 | [
"MIT"
] | 6 | 2016-09-08T15:06:18.000Z | 2021-01-26T10:12:32.000Z | __author__ = 'Logentries by Rapid7'
| 18 | 35 | 0.777778 |
e1f56c657cccd2bce705a98d8330a25d72cd0d6b | 4,995 | py | Python | data/dataconstructor.py | Skhaki18/APS360 | 4a386fc8ee14802bcb5ef25eefc234160673896a | [
"MIT"
] | 1 | 2022-02-09T20:35:05.000Z | 2022-02-09T20:35:05.000Z | data/dataconstructor.py | Skhaki18/APS360 | 4a386fc8ee14802bcb5ef25eefc234160673896a | [
"MIT"
] | null | null | null | data/dataconstructor.py | Skhaki18/APS360 | 4a386fc8ee14802bcb5ef25eefc234160673896a | [
"MIT"
] | null | null | null | import fiftyone as fo
import fiftyone.zoo as foz
import torchvision.transforms as transforms
from PIL import Image
import os
import os.path
from pycocotools.coco import COCO
import torch.utils.data as data
import cv2
import torch
import matplotlib.pyplot as plt
class CocoDetection(data.Dataset):
"""`MS Coco... | 31.613924 | 152 | 0.617217 |
5bf6bb0057f19fbf40e689fb79c1d0bfee176925 | 109 | py | Python | lab2/text_recognizer/models/__init__.py | AleksandrLiadov/fsdl-text-recognizer-2021-labs | 9495e1457fc82ab83ff7e4141939d603565eb89b | [
"MIT"
] | 402 | 2021-01-18T12:14:08.000Z | 2022-03-28T03:41:05.000Z | lab2/text_recognizer/models/__init__.py | AleksandrLiadov/fsdl-text-recognizer-2021-labs | 9495e1457fc82ab83ff7e4141939d603565eb89b | [
"MIT"
] | 27 | 2021-01-21T01:54:30.000Z | 2022-03-29T21:39:41.000Z | lab2/text_recognizer/models/__init__.py | AleksandrLiadov/fsdl-text-recognizer-2021-labs | 9495e1457fc82ab83ff7e4141939d603565eb89b | [
"MIT"
] | 271 | 2021-01-21T18:07:24.000Z | 2022-03-30T12:49:53.000Z | from .mlp import MLP
# Hide lines below until Lab 2
from .cnn import CNN
# Hide lines above until Lab 2
| 10.9 | 30 | 0.715596 |
3d06493111933d76673a5f62a23815918589a2d5 | 516 | py | Python | src/sage/modular/modform/defaults.py | bopopescu/sage | 2d495be78e0bdc7a0a635454290b27bb4f5f70f0 | [
"BSL-1.0"
] | 10 | 2018-06-01T21:54:53.000Z | 2022-03-14T20:11:34.000Z | src/sage/modular/modform/defaults.py | Ivo-Maffei/sage | 467fbc70a08b552b3de33d9065204ee9cbfb02c7 | [
"BSL-1.0"
] | 2 | 2018-10-30T13:40:20.000Z | 2020-07-23T12:13:30.000Z | src/sage/modular/modform/defaults.py | dimpase/sage | 468f23815ade42a2192b0a9cd378de8fdc594dcd | [
"BSL-1.0"
] | 15 | 2020-07-23T10:46:25.000Z | 2022-01-25T15:37:24.000Z | #########################################################################
# Copyright (C) 2004--2006 William Stein <wstein@gmail.com>
#
# Distributed under the terms of the GNU General Public License (GPL)
#
# http://www.gnu.org/licenses/
#########################################################... | 34.4 | 73 | 0.505814 |
fb635ed11674e583064d6a3937ee133c9de6576d | 3,914 | py | Python | pyecodevices_rt2/ecodevices_rt2.py | pcourbin/pyecodevices_rt2 | 5f9e49dddde01bef933a1825230bd90759d3f41c | [
"MIT"
] | null | null | null | pyecodevices_rt2/ecodevices_rt2.py | pcourbin/pyecodevices_rt2 | 5f9e49dddde01bef933a1825230bd90759d3f41c | [
"MIT"
] | 2 | 2021-04-12T22:48:48.000Z | 2021-05-15T10:56:27.000Z | pyecodevices_rt2/ecodevices_rt2.py | pcourbin/pyecodevices_rt2 | 5f9e49dddde01bef933a1825230bd90759d3f41c | [
"MIT"
] | null | null | null | from datetime import datetime
from datetime import timedelta
import requests
from .const import INDEX_GET_LINK
from .const import PRODUCT_ENTRY
from .const import PRODUCT_VALUE
from .const import RESPONSE_ENTRY
from .const import RESPONSE_SUCCESS_VALUE
from .const import RT2_API_GET_LINK_CACHED
from .exceptions impor... | 31.564516 | 110 | 0.594532 |
d3d7888caa0afbcaaaf6d2fb5162cd14288e9717 | 18,821 | py | Python | google/appengine/tools/devappserver2/instance.py | yc550370460/google_app_engine | 876db682bd9d88e7b1f5403f05a0b26f2efb1c19 | [
"Apache-2.0"
] | null | null | null | google/appengine/tools/devappserver2/instance.py | yc550370460/google_app_engine | 876db682bd9d88e7b1f5403f05a0b26f2efb1c19 | [
"Apache-2.0"
] | null | null | null | google/appengine/tools/devappserver2/instance.py | yc550370460/google_app_engine | 876db682bd9d88e7b1f5403f05a0b26f2efb1c19 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
#
# Copyright 2007 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law o... | 36.759766 | 80 | 0.693534 |
59792bc47ca33ca2baec2d123501559d70c078b0 | 1,445 | py | Python | setup.py | trondkr/xESMF | 27952e1ab2f1b7b23c443953b9d1e079376efb08 | [
"MIT"
] | null | null | null | setup.py | trondkr/xESMF | 27952e1ab2f1b7b23c443953b9d1e079376efb08 | [
"MIT"
] | null | null | null | setup.py | trondkr/xESMF | 27952e1ab2f1b7b23c443953b9d1e079376efb08 | [
"MIT"
] | 1 | 2021-02-24T05:22:23.000Z | 2021-02-24T05:22:23.000Z | from setuptools import setup, find_packages
import os
VERSION = '0.3.1'
DISTNAME = 'xesmf'
DESCRIPTION = "Universal Regridder for Geospatial Data"
AUTHOR = 'Jiawei Zhuang'
AUTHOR_EMAIL = 'jiaweizhuang@g.harvard.edu'
URL = 'https://github.com/JiaweiZhuang/xESMF'
LICENSE = 'MIT'
PYTHON_REQUIRES = '>=3.5'
# https://gith... | 27.788462 | 76 | 0.671972 |
4f655a0391166aea5b02910c861cad30b327317d | 1,957 | py | Python | functions_drug_features.py | pamiganderson/insight | 8397288ac2aee4d98614a6a42179b8520cb1cbf4 | [
"MIT"
] | null | null | null | functions_drug_features.py | pamiganderson/insight | 8397288ac2aee4d98614a6a42179b8520cb1cbf4 | [
"MIT"
] | null | null | null | functions_drug_features.py | pamiganderson/insight | 8397288ac2aee4d98614a6a42179b8520cb1cbf4 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Sep 26 15:54:44 2018
@author: pamelaanderson
"""
import numpy as np
import pandas as pd
def find_nti_drugs(df_merge_class):
""" Determine if drugs are narrow therapeutic index """
nti_list = ['carbamazepine',
'cyclosporine',
... | 34.333333 | 88 | 0.610118 |
a90a5d223c9838f1aa357392d4b244819e4234cf | 1,512 | py | Python | rest-api/flask_app/config.py | sinedie/Flask-Svelte-Websockets-Nginx-Docker | 76daeec2c76f9f27ca526f53393ab4363020b92b | [
"WTFPL"
] | 4 | 2021-11-21T14:04:15.000Z | 2022-03-20T15:28:14.000Z | rest-api/flask_app/config.py | sinedie/Utimate-flask-websocket-template | 76daeec2c76f9f27ca526f53393ab4363020b92b | [
"WTFPL"
] | null | null | null | rest-api/flask_app/config.py | sinedie/Utimate-flask-websocket-template | 76daeec2c76f9f27ca526f53393ab4363020b92b | [
"WTFPL"
] | null | null | null | import os
# Flask env
FLASK_ENV = os.environ.get("FLASK_ENV")
SECRET_KEY = os.environ.get("SECRET_KEY")
# JWT
JWT_SECRET_KEY = os.environ.get("JWT_SECRET_KEY")
JWT_REFRESH_TOKEN_EXPIRES = int(os.environ.get("JWT_REFRESH_TOKEN_EXPIRES"))
# Postgres
POSTGRES_USER = os.environ['POSTGRES_USER']
POSTGRES_PASSWORD = os.en... | 25.2 | 132 | 0.749339 |
04dd012077cc995f9628b51e95b7f7a1162fc8ff | 1,261 | py | Python | dumbo/hyy-python-hadoop/examples/TestText.py | arbenson/mrtsqr | 006a2de645db9ad4735971cc0a77739249c1437d | [
"BSD-2-Clause"
] | 11 | 2015-01-09T18:36:29.000Z | 2022-02-09T09:02:36.000Z | python-hadoop/examples/TestText.py | streamsets/PythonSequenceFile | 28350bc62442264bff79a0616474d8216718c694 | [
"Apache-2.0"
] | null | null | null | python-hadoop/examples/TestText.py | streamsets/PythonSequenceFile | 28350bc62442264bff79a0616474d8216718c694 | [
"Apache-2.0"
] | 1 | 2019-09-14T08:33:38.000Z | 2019-09-14T08:33:38.000Z | #!/usr/bin/env python
# ========================================================================
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF l... | 35.027778 | 74 | 0.701031 |
394263fbb9e84d42c2876dcabae02be673043326 | 688 | py | Python | AzusaBot/Azusa/__init__.py | ethpch/AzusaBot_old | 067e4985d4b8d60c98db758f3e103a4f409c9599 | [
"MIT"
] | 2 | 2021-09-23T14:43:00.000Z | 2021-09-26T12:01:07.000Z | AzusaBot/Azusa/__init__.py | ethpch/AzusaBot_old | 067e4985d4b8d60c98db758f3e103a4f409c9599 | [
"MIT"
] | null | null | null | AzusaBot/Azusa/__init__.py | ethpch/AzusaBot_old | 067e4985d4b8d60c98db758f3e103a4f409c9599 | [
"MIT"
] | null | null | null | from os import path, sep
import logging
import nonebot
from Azusa.log import initLogConf
def init(config) -> nonebot.NoneBot:
nonebot.init(config)
initLogConf()
logging.getLogger('Azusa').info('<Init> Azusa initializes successfully.')
bot = nonebot.get_bot()
bot.config.resources = path.join(path... | 26.461538 | 77 | 0.617733 |
463b18e154cab11eb3871912f71580e7f6055d2b | 5,246 | py | Python | docs/source/conf.py | Pacman1984/etna | 9b3ccb980e576d56858f14aca2e06ce2957b0fa9 | [
"Apache-2.0"
] | 96 | 2021-09-05T06:29:34.000Z | 2021-11-07T15:22:54.000Z | docs/source/conf.py | Pacman1984/etna | 9b3ccb980e576d56858f14aca2e06ce2957b0fa9 | [
"Apache-2.0"
] | 188 | 2021-09-06T15:59:58.000Z | 2021-11-17T09:34:16.000Z | docs/source/conf.py | Pacman1984/etna | 9b3ccb980e576d56858f14aca2e06ce2957b0fa9 | [
"Apache-2.0"
] | 8 | 2021-09-06T09:18:35.000Z | 2021-11-11T21:18:39.000Z | # Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
# -- Path setup --------------------------------------------------------------
# If ex... | 31.987805 | 134 | 0.65955 |
4c20617fda19b2aad3f3ad1b7c56b96e56ad0a54 | 32,204 | py | Python | theano/sandbox/rng_mrg.py | arnaudsj/Theano | 41103b5d158739e4147428ce776fb5716062d4a8 | [
"BSD-3-Clause"
] | 1 | 2015-11-05T13:58:11.000Z | 2015-11-05T13:58:11.000Z | theano/sandbox/rng_mrg.py | arnaudsj/Theano | 41103b5d158739e4147428ce776fb5716062d4a8 | [
"BSD-3-Clause"
] | null | null | null | theano/sandbox/rng_mrg.py | arnaudsj/Theano | 41103b5d158739e4147428ce776fb5716062d4a8 | [
"BSD-3-Clause"
] | null | null | null | """
Implementation of MRG31k3p random number generator for Theano
Generator code in SSJ package (L'Ecuyer & Simard)
http://www.iro.umontreal.ca/~simardr/ssj/indexe.html
"""
import sys, warnings
import numpy
from theano import Op, Apply, shared, config, Variable
from theano.tensor import (raw_random, TensorType, as_t... | 36.022371 | 156 | 0.545025 |
22d1eb662ee1ea65f5c4d5921bb3c75aefa664d7 | 2,352 | py | Python | AlgorithmQuestionAnswering/SparqlEndpoint.py | zointblackbriar/QuestionAnswering | 319c3623ced22254d75c2918929a875090bd2bf5 | [
"MIT"
] | 1 | 2019-03-04T19:44:10.000Z | 2019-03-04T19:44:10.000Z | AlgorithmQuestionAnswering/SparqlEndpoint.py | zointblackbriar/QuestionAnswering | 319c3623ced22254d75c2918929a875090bd2bf5 | [
"MIT"
] | null | null | null | AlgorithmQuestionAnswering/SparqlEndpoint.py | zointblackbriar/QuestionAnswering | 319c3623ced22254d75c2918929a875090bd2bf5 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
from SPARQLWrapper import SPARQLWrapper, JSON
import rdflib
from rdflib.graph import Graph
# from rdflib.plugins import sparql
# from rdflib import URIRef, Literal
from rdflib.plugin import register, Serializer, Parser
register('ttl', Parser, 'rdflib.plugins.parsers.notation3', '... | 29.772152 | 75 | 0.629252 |
ebb827a6dad65325cbcf822908634a155168f308 | 48,702 | py | Python | third_party/WebKit/Tools/Scripts/webkitpy/thirdparty/irc/irclib.py | google-ar/chromium | 2441c86a5fd975f09a6c30cddb57dfb7fc239699 | [
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 777 | 2017-08-29T15:15:32.000Z | 2022-03-21T05:29:41.000Z | third_party/WebKit/Tools/Scripts/webkitpy/thirdparty/irc/irclib.py | harrymarkovskiy/WebARonARCore | 2441c86a5fd975f09a6c30cddb57dfb7fc239699 | [
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 66 | 2017-08-30T18:31:18.000Z | 2021-08-02T10:59:35.000Z | third_party/WebKit/Tools/Scripts/webkitpy/thirdparty/irc/irclib.py | harrymarkovskiy/WebARonARCore | 2441c86a5fd975f09a6c30cddb57dfb7fc239699 | [
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 123 | 2017-08-30T01:19:34.000Z | 2022-03-17T22:55:31.000Z | # Copyright (C) 1999--2002 Joel Rosdahl
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation; either
# version 2.1 of the License, or (at your option) any later version.
#
# This library is ... | 31.199231 | 105 | 0.574802 |
7d39581a70eaa6c4311e994b1539716957258987 | 2,388 | py | Python | libcst/codegen/gen_type_mapping.py | rowillia/LibCST | 621d9a949a57a9100b7f2d1465ebd32aaeddb05c | [
"Apache-2.0"
] | null | null | null | libcst/codegen/gen_type_mapping.py | rowillia/LibCST | 621d9a949a57a9100b7f2d1465ebd32aaeddb05c | [
"Apache-2.0"
] | null | null | null | libcst/codegen/gen_type_mapping.py | rowillia/LibCST | 621d9a949a57a9100b7f2d1465ebd32aaeddb05c | [
"Apache-2.0"
] | null | null | null | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
# pyre-strict
from typing import List
from libcst.codegen.gather import imports, nodebases, nodeuses
generated_code: List[str] = []
generat... | 36.181818 | 85 | 0.7366 |
9043d4d356f149f3c143f3254f6afba5e8ffcaaf | 676 | py | Python | ThreeDEngine/util.py | MysteryCoder456/ThreeDEngine | c40bf5d751faa9016d6b3d5d11d76dbfd2e3fa75 | [
"MIT"
] | 8 | 2020-04-29T03:46:21.000Z | 2020-05-01T17:43:29.000Z | ThreeDEngine/util.py | MysteryCoder456/3DEngine | c40bf5d751faa9016d6b3d5d11d76dbfd2e3fa75 | [
"MIT"
] | null | null | null | ThreeDEngine/util.py | MysteryCoder456/3DEngine | c40bf5d751faa9016d6b3d5d11d76dbfd2e3fa75 | [
"MIT"
] | null | null | null | from math import sqrt
from glm import vec3
def average(numbers: list):
"""
Get the average of a list of numbers
Arguments:
numbers {list} -- Number list
"""
total_sum = 0
divisor = 0
for number in numbers:
total_sum += number
divisor += 1
return total_sum / ... | 17.789474 | 48 | 0.565089 |
aac367bc7daade2b1492016649d29daf6b054361 | 3,430 | py | Python | tripleoclient/exceptions.py | openstack/python-tripleoclient | 3712cede1f859f5eb7b1d86b1721272448c219b0 | [
"Apache-2.0"
] | 39 | 2015-09-08T14:34:36.000Z | 2022-02-20T21:00:44.000Z | tripleoclient/exceptions.py | openstack/python-tripleoclient | 3712cede1f859f5eb7b1d86b1721272448c219b0 | [
"Apache-2.0"
] | 1 | 2021-02-28T06:06:29.000Z | 2021-02-28T06:06:29.000Z | tripleoclient/exceptions.py | openstack/python-tripleoclient | 3712cede1f859f5eb7b1d86b1721272448c219b0 | [
"Apache-2.0"
] | 33 | 2015-10-01T17:53:04.000Z | 2022-03-10T11:50:38.000Z | # Copyright 2013 Nebula Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 23.493151 | 77 | 0.714869 |
bf57511adaf8c9df7860d6b3eb64add771c54091 | 44,925 | py | Python | models/Trading.py | Vashiru/pycryptobot | a4cf67cbb7467acc1d4aa7aab17cd65e8dbb80fe | [
"Apache-2.0"
] | 1 | 2021-06-14T18:21:49.000Z | 2021-06-14T18:21:49.000Z | models/Trading.py | Vashiru/pycryptobot | a4cf67cbb7467acc1d4aa7aab17cd65e8dbb80fe | [
"Apache-2.0"
] | null | null | null | models/Trading.py | Vashiru/pycryptobot | a4cf67cbb7467acc1d4aa7aab17cd65e8dbb80fe | [
"Apache-2.0"
] | null | null | null | """Technical analysis on a trading Pandas DataFrame"""
import warnings
from re import compile
from numpy import floor, maximum, mean, minimum, nan, ndarray, round
from numpy import sum as np_sum
from numpy import where
from pandas import DataFrame, Series
from datetime import datetime, timedelta
from statsmodels.tsa.... | 45.701933 | 199 | 0.571263 |
c89cb6684d0be0cacbc2a151b33f7b9b6cac9277 | 2,638 | py | Python | examples/cifar3/inference.py | riyasavla/ml601_hw9 | dcec2e5644b41d85303bdaf29da8e81f8a5e29c3 | [
"BSD-2-Clause"
] | null | null | null | examples/cifar3/inference.py | riyasavla/ml601_hw9 | dcec2e5644b41d85303bdaf29da8e81f8a5e29c3 | [
"BSD-2-Clause"
] | null | null | null | examples/cifar3/inference.py | riyasavla/ml601_hw9 | dcec2e5644b41d85303bdaf29da8e81f8a5e29c3 | [
"BSD-2-Clause"
] | null | null | null | import caffe
import lmdb
import numpy as np
from caffe.proto import caffe_pb2
import scipy
from scipy import io
import csv
import sys, getopt
# mean_file = '/Users/riya/Downloads/mean.binaryproto' #'/Users/riya/caffe/examples/cifar3/mean.binaryproto'
# model = "/Users/riya/Downloads/cifar10_full_iter_60000.caffemodel.... | 28.673913 | 146 | 0.655042 |
10973174d5a35a21757b354168be7aaf62c0df8a | 5,625 | py | Python | src/protean/adapters/cache/memory.py | proteanhq/protean | 2006832265435cad8d4f9b86d1a789d8828d2707 | [
"BSD-3-Clause"
] | 6 | 2018-09-26T04:54:09.000Z | 2022-03-30T01:01:45.000Z | src/protean/adapters/cache/memory.py | proteanhq/protean | 2006832265435cad8d4f9b86d1a789d8828d2707 | [
"BSD-3-Clause"
] | 261 | 2018-09-20T09:53:33.000Z | 2022-03-08T17:43:04.000Z | src/protean/adapters/cache/memory.py | proteanhq/protean | 2006832265435cad8d4f9b86d1a789d8828d2707 | [
"BSD-3-Clause"
] | 6 | 2018-07-22T07:09:15.000Z | 2021-02-02T05:17:23.000Z | import collections
import re
import time
from threading import RLock
from typing import Optional, Union
from protean.core.view import BaseView
from protean.reflection import id_field
try:
# Python 3.8+
collectionsAbc = collections.abc
except AttributeError: # pragma: no cover
# Until Python 3.7
coll... | 29.605263 | 83 | 0.588267 |
f7efda68c3bccc9bc78431210b23be4a7caade05 | 110 | py | Python | src/inbus/shared/__init__.py | mlos/inbus | 51778800740b18337b540e193a52f6faa7451067 | [
"BSD-2-Clause"
] | 1 | 2017-11-09T20:09:31.000Z | 2017-11-09T20:09:31.000Z | src/inbus/shared/__init__.py | mlos/inbus | 51778800740b18337b540e193a52f6faa7451067 | [
"BSD-2-Clause"
] | null | null | null | src/inbus/shared/__init__.py | mlos/inbus | 51778800740b18337b540e193a52f6faa7451067 | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (c) 2017 Maarten Los
# See LICENSE.rst for details.
| 22 | 32 | 0.654545 |
25e4bb46e67e751dc723c95800225006202e4f65 | 9,556 | py | Python | sugarui/widgets/textfields.py | sugarsack/sugar-ui | 0ba7b62f300adbd3290e0ef8d5cb45e26f44a446 | [
"MIT"
] | null | null | null | sugarui/widgets/textfields.py | sugarsack/sugar-ui | 0ba7b62f300adbd3290e0ef8d5cb45e26f44a446 | [
"MIT"
] | null | null | null | sugarui/widgets/textfields.py | sugarsack/sugar-ui | 0ba7b62f300adbd3290e0ef8d5cb45e26f44a446 | [
"MIT"
] | null | null | null | # coding: utf-8
"""
Text fields class.
These are used to display some data in the tables.
"""
import curses
import npyscreen
from sugarui.windows.floating import ErrorMessageForm
class ColoredTextField(npyscreen.Textfield):
"""
Colorised text field (highlighted data)
"""
syntax_highlighting = True
... | 32.838488 | 116 | 0.559962 |
ea41638d8a9db4519a4876b680772d3c3b29436f | 3,112 | py | Python | DataApp.py | DaniloGR91/Semana_DataScience_MinerandoDados | 99b198c29b0d97e6ccaf1b07c633d0e641dae0eb | [
"MIT"
] | 1 | 2020-05-16T22:57:32.000Z | 2020-05-16T22:57:32.000Z | DataApp.py | DaniloGR91/Semana_DataScience_MinerandoDados | 99b198c29b0d97e6ccaf1b07c633d0e641dae0eb | [
"MIT"
] | 7 | 2020-05-16T17:50:23.000Z | 2020-05-27T20:49:09.000Z | DataApp.py | DaniloGR91/Semana_DataScience_MinerandoDados | 99b198c29b0d97e6ccaf1b07c633d0e641dae0eb | [
"MIT"
] | 1 | 2020-05-31T14:07:51.000Z | 2020-05-31T14:07:51.000Z | import pandas as pd
import streamlit as st
from plotly.subplots import make_subplots
import plotly.graph_objects as go
from sklearn.ensemble import RandomForestRegressor
# Cabeçalho
st.title('Boston House Prices')
st.markdown('A DataApp to show and predict boston house prices')
# Abrindo dataframe
data = pd.read_csv('... | 25.933333 | 69 | 0.633997 |
3445f04708fd647fe45afc07a37460751568d7e9 | 3,840 | py | Python | E03 - Learning programs and models/Architectures/models/denseaspp.py | mialona/Stomatal-segmentation | 149d469ec572c41a13d62149d7d62d6805d19697 | [
"MIT"
] | null | null | null | E03 - Learning programs and models/Architectures/models/denseaspp.py | mialona/Stomatal-segmentation | 149d469ec572c41a13d62149d7d62d6805d19697 | [
"MIT"
] | null | null | null | E03 - Learning programs and models/Architectures/models/denseaspp.py | mialona/Stomatal-segmentation | 149d469ec572c41a13d62149d7d62d6805d19697 | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
import torch.nn.functional as F
from .segbase import SegBaseModel
from .fcn import _FCNHead
__all__ = ['DenseASPP']
class DenseASPP(SegBaseModel):
def __init__(self, nclass, backbone_name="resnet101"):
self.backbone_name = backbone_name
self.nclass = nclass
... | 39.183673 | 120 | 0.636198 |
521d2a8dd91ada4ec091e0ce2ca790e5f9564dfe | 8,906 | py | Python | apero/recipes/nirps_ha/cal_shape_nirps_ha.py | njcuk9999/apero-drs | 83b043e9f277a011b03e0227c77307961b200901 | [
"MIT"
] | 1 | 2021-03-09T17:49:31.000Z | 2021-03-09T17:49:31.000Z | apero/recipes/nirps_ha/cal_shape_nirps_ha.py | njcuk9999/apero-drs | 83b043e9f277a011b03e0227c77307961b200901 | [
"MIT"
] | 43 | 2020-10-06T18:42:24.000Z | 2022-03-28T21:23:10.000Z | apero/recipes/nirps_ha/cal_shape_nirps_ha.py | njcuk9999/apero-drs | 83b043e9f277a011b03e0227c77307961b200901 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
# CODE NAME HERE
# CODE DESCRIPTION HERE
Created on 2019-03-23 at 13:01
@author: cook
"""
from apero import core
from apero import lang
from apero.core import constants
from apero.core.core import drs_database
from apero.io import drs_fits
from apero.science.calib im... | 42.61244 | 80 | 0.422636 |
68071996310f09b7403db61d1e139c8acd0ec10d | 4,903 | py | Python | jupyter_russian/topic06_features/demo.py | salman394/AI-ml--course | 2ed3a1382614dd00184e5179026623714ccc9e8c | [
"Unlicense"
] | 1 | 2018-10-24T08:35:29.000Z | 2018-10-24T08:35:29.000Z | jupyter_russian/topic06_features/demo.py | salman394/AI-ml--course | 2ed3a1382614dd00184e5179026623714ccc9e8c | [
"Unlicense"
] | null | null | null | jupyter_russian/topic06_features/demo.py | salman394/AI-ml--course | 2ed3a1382614dd00184e5179026623714ccc9e8c | [
"Unlicense"
] | 3 | 2019-10-03T22:32:24.000Z | 2021-01-13T10:09:22.000Z | import numpy as np
import pandas as pd
import json
from sklearn.base import TransformerMixin
EPSILON = 1e-5
class FeatureEngineer(TransformerMixin):
def apply(self, df, k, condition):
df[k] = df['features'].apply(condition)
df[k] = df[k].astype(np.int8)
def fit(self, X, y=None, **fit_params... | 47.144231 | 127 | 0.470936 |
627e1e102b5559e7cb11f8422215158fddd6f40f | 28,946 | py | Python | run_experiment_pcgan.py | daverics/pcmelgan | a8b193a0601354c9b2da7c2dd64cd3e2549a9275 | [
"MIT"
] | 4 | 2020-06-18T02:02:53.000Z | 2022-01-22T15:54:08.000Z | run_experiment_pcgan.py | daverics/pcmelgan | a8b193a0601354c9b2da7c2dd64cd3e2549a9275 | [
"MIT"
] | null | null | null | run_experiment_pcgan.py | daverics/pcmelgan | a8b193a0601354c9b2da7c2dd64cd3e2549a9275 | [
"MIT"
] | 4 | 2020-06-18T02:02:54.000Z | 2022-02-02T11:54:47.000Z | import dataset
import librosa
from torch.utils.data import DataLoader, random_split
import torch
import torch.nn.functional as F
from utils import *
import torchvision.models as models
from torch.utils.tensorboard import SummaryWriter
import argparse
import yaml
from pathlib import Path
import pandas as pd
import time
... | 53.307551 | 267 | 0.603676 |
766bb0a4f6c1fd4efb75cb5f376bc4c7c224b885 | 263 | py | Python | crossref/errors.py | ScholarTools/crossref_api_python | 49282503bda1e013a6b1bddd171f1ef960bec3f5 | [
"MIT"
] | null | null | null | crossref/errors.py | ScholarTools/crossref_api_python | 49282503bda1e013a6b1bddd171f1ef960bec3f5 | [
"MIT"
] | 11 | 2016-03-01T21:15:33.000Z | 2021-12-13T19:43:02.000Z | crossref/errors.py | ScholarTools/crossref_api_python | 49282503bda1e013a6b1bddd171f1ef960bec3f5 | [
"MIT"
] | 1 | 2018-02-05T15:22:37.000Z | 2018-02-05T15:22:37.000Z | # -*- coding: utf-8 -*-
"""
"""
class CrossrefAPIError(Exception):
"""User errors in usage of the Crossref API"""
pass
class RequestError(Exception):
pass
class InvalidDOI(Exception):
pass
class UnhandledHTTPResonseFailure(Exception):
pass | 16.4375 | 50 | 0.684411 |
cce60870685cc8bed5ae5ffb2a62a752407e9461 | 8,626 | py | Python | mingpt/model.py | mircean/minGPT | e080e9a6deb8579ca0dd5a67fc42ae54db4478e9 | [
"MIT"
] | null | null | null | mingpt/model.py | mircean/minGPT | e080e9a6deb8579ca0dd5a67fc42ae54db4478e9 | [
"MIT"
] | null | null | null | mingpt/model.py | mircean/minGPT | e080e9a6deb8579ca0dd5a67fc42ae54db4478e9 | [
"MIT"
] | null | null | null | """
GPT model:
- the initial stem consists of a combination of token encoding and a positional encoding
- the meat of it is a uniform sequence of Transformer blocks
- each Transformer is a sequential combination of a 1-hidden-layer MLP block and a self-attention block
- all blocks feed into a central residual p... | 42.70297 | 127 | 0.623348 |
fca1cd946326176453973ccdee2903c8957cb60b | 1,392 | py | Python | modules/dbnd-airflow/src/dbnd_airflow/compat/kubernetes_executor.py | kalebinn/dbnd | 89b6ac3537f861784be73ffe8989bf63fca7401c | [
"Apache-2.0"
] | null | null | null | modules/dbnd-airflow/src/dbnd_airflow/compat/kubernetes_executor.py | kalebinn/dbnd | 89b6ac3537f861784be73ffe8989bf63fca7401c | [
"Apache-2.0"
] | null | null | null | modules/dbnd-airflow/src/dbnd_airflow/compat/kubernetes_executor.py | kalebinn/dbnd | 89b6ac3537f861784be73ffe8989bf63fca7401c | [
"Apache-2.0"
] | null | null | null | from dbnd_airflow._vendor import kubernetes_utils
from dbnd_airflow.constants import AIRFLOW_ABOVE_9, AIRFLOW_ABOVE_10
if AIRFLOW_ABOVE_10:
from airflow.executors.kubernetes_executor import (
AirflowKubernetesScheduler,
KubernetesJobWatcher,
KubernetesExecutor,
KubeConfig,
)
el... | 31.636364 | 84 | 0.751437 |
48ef10a6201deae718f7dde78c8ab18c48ca08a0 | 1,341 | py | Python | venv/lib/python3.9/site-packages/google/cloud/dlp_v2/__init__.py | qarik-hanrattyjen/apache-airflow-backport-providers-google-2021.3.3 | 630dcef73e6a258b6e9a52f934e2dd912ce741f8 | [
"Apache-2.0"
] | null | null | null | venv/lib/python3.9/site-packages/google/cloud/dlp_v2/__init__.py | qarik-hanrattyjen/apache-airflow-backport-providers-google-2021.3.3 | 630dcef73e6a258b6e9a52f934e2dd912ce741f8 | [
"Apache-2.0"
] | 40 | 2019-07-16T10:04:48.000Z | 2020-01-20T09:04:59.000Z | venv/lib/python3.9/site-packages/google/cloud/dlp_v2/__init__.py | qarik-hanrattyjen/apache-airflow-backport-providers-google-2021.3.3 | 630dcef73e6a258b6e9a52f934e2dd912ce741f8 | [
"Apache-2.0"
] | 2 | 2019-07-18T00:05:31.000Z | 2019-11-27T14:17:22.000Z | # -*- coding: utf-8 -*-
#
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law... | 31.928571 | 79 | 0.747204 |
b56d1728fad9fe7bbe0bd9a97bb5a46b1f5d6075 | 7,821 | py | Python | data_loader.py | feelpp/brits | f1dffd6ed6d92c3a70a287155d1db3a8d4eac84f | [
"MIT"
] | null | null | null | data_loader.py | feelpp/brits | f1dffd6ed6d92c3a70a287155d1db3a8d4eac84f | [
"MIT"
] | null | null | null | data_loader.py | feelpp/brits | f1dffd6ed6d92c3a70a287155d1db3a8d4eac84f | [
"MIT"
] | null | null | null | import os
import time
import ujson as json
import csv
import numpy as np
import pandas as pd
import torch
import torch.nn as nn
from torch.utils.data import Dataset, DataLoader
# Seems to be unused in the rest of the code.
# class MySet(Dataset):
# def __init__(self):
# super(MySet, self).__init__()
# ... | 31.663968 | 106 | 0.577803 |
7a6e76424eb6916e7d73e2f1d0cad23f98ffd0f7 | 730 | py | Python | 1-100/41-50/49-groupAnagram/groupAnagram.py | xuychen/Leetcode | c8bf33af30569177c5276ffcd72a8d93ba4c402a | [
"MIT"
] | null | null | null | 1-100/41-50/49-groupAnagram/groupAnagram.py | xuychen/Leetcode | c8bf33af30569177c5276ffcd72a8d93ba4c402a | [
"MIT"
] | null | null | null | 1-100/41-50/49-groupAnagram/groupAnagram.py | xuychen/Leetcode | c8bf33af30569177c5276ffcd72a8d93ba4c402a | [
"MIT"
] | null | null | null | class Solution(object):
def groupAnagrams(self, strs):
"""
:type strs: List[str]
:rtype: List[List[str]]
"""
primes = [2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53, \
59,61,67,71,73,79,83,89,97,101]
dictionary = {}
result = []
... | 28.076923 | 64 | 0.420548 |
72dae11ac60386a53c9e102e2b45bf9967ce298d | 893 | py | Python | maro/cli/grass/image.py | KangFengjian/maro | 2694a75731d5174ba5b33780670ba38d776d8c5a | [
"MIT"
] | 1 | 2020-09-30T09:31:05.000Z | 2020-09-30T09:31:05.000Z | maro/cli/grass/image.py | KangFengjian/maro | 2694a75731d5174ba5b33780670ba38d776d8c5a | [
"MIT"
] | 2 | 2020-12-15T09:13:43.000Z | 2020-12-16T08:02:41.000Z | maro/cli/grass/image.py | KangFengjian/maro | 2694a75731d5174ba5b33780670ba38d776d8c5a | [
"MIT"
] | 1 | 2021-10-01T09:17:43.000Z | 2021-10-01T09:17:43.000Z | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
from maro.cli.grass.executors.grass_azure_executor import GrassAzureExecutor
from maro.cli.utils.checkers import check_details_validity
from maro.cli.utils.details import load_cluster_details
from maro.cli.utils.lock import lock
@check_details... | 35.72 | 117 | 0.743561 |
b56bc8c26d37134baa1122e5fcbd8286e6068f7a | 1,231 | py | Python | data_structures/tree_based/binary_tree/test.py | kwahome/data-structures-and-algos | 535b23c63bf384d63c1ebc08d1c32d3dd808297c | [
"Apache-2.0"
] | null | null | null | data_structures/tree_based/binary_tree/test.py | kwahome/data-structures-and-algos | 535b23c63bf384d63c1ebc08d1c32d3dd808297c | [
"Apache-2.0"
] | null | null | null | data_structures/tree_based/binary_tree/test.py | kwahome/data-structures-and-algos | 535b23c63bf384d63c1ebc08d1c32d3dd808297c | [
"Apache-2.0"
] | null | null | null | import unittest
from data_structures.tree_based.binary_tree.tree import Tree
class BinaryTreeTests(unittest.TestCase):
def setUp(self):
self.binary_tree = Tree()
def tearDown(self):
pass
def test_tree_insert(self):
data = 5
self.assertEqual(None, self.binary_tree.get_dat... | 33.27027 | 83 | 0.658002 |
f8a41afd5381220afe0ccd93208961196c143a6d | 2,177 | py | Python | openquake/hazardlib/tests/gsim/utils.py | gfzriesgos/shakyground-lfs | 2caf67cc32e6800286eded2df1efb05973ccf41b | [
"BSD-3-Clause"
] | 1 | 2019-08-01T00:28:24.000Z | 2019-08-01T00:28:24.000Z | openquake/hazardlib/tests/gsim/utils.py | gfzriesgos/shakyground-lfs | 2caf67cc32e6800286eded2df1efb05973ccf41b | [
"BSD-3-Clause"
] | 4 | 2018-08-31T14:14:35.000Z | 2021-10-11T12:53:13.000Z | openquake/hazardlib/tests/gsim/utils.py | gfzriesgos/shakyground-lfs | 2caf67cc32e6800286eded2df1efb05973ccf41b | [
"BSD-3-Clause"
] | 3 | 2018-08-31T14:11:00.000Z | 2019-07-17T10:06:02.000Z | # -*- coding: utf-8 -*-
# vim: tabstop=4 shiftwidth=4 softtabstop=4
# Copyright (c) 2012-2018, GEM Foundation
# OpenQuake is free software: you can redistribute it and/or modify it
# under the terms of the GNU Affero General Public License as published
# by the Free Software Foundation, either version 3 of the ... | 38.192982 | 75 | 0.687184 |
d0bddc90deb43ede3aa2ab4fa1f587e59ee90a11 | 1,271 | py | Python | test/functional/wallet_disableprivatekeys.py | farmscoins/farmcoin | dcfa0e7b33de314cfa1e4d3de1d8e2d894821d43 | [
"MIT"
] | 1 | 2019-06-11T08:21:52.000Z | 2019-06-11T08:21:52.000Z | test/functional/wallet_disableprivatekeys.py | farmscoins/farmcoin | dcfa0e7b33de314cfa1e4d3de1d8e2d894821d43 | [
"MIT"
] | null | null | null | test/functional/wallet_disableprivatekeys.py | farmscoins/farmcoin | dcfa0e7b33de314cfa1e4d3de1d8e2d894821d43 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) 2018 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""Test disable-privatekeys mode.
"""
from test_framework.test_framework import FarmcoinTestFramework
from tes... | 35.305556 | 110 | 0.715185 |
a82800f27ae80859d7c7339910172ff5a691e3d7 | 868 | py | Python | setup.py | torchbox/django-tagging-autocomplete | 43d9604cb2510cf5ba13a533660b7d14d1d5702b | [
"MIT"
] | 2 | 2015-09-23T23:19:31.000Z | 2015-09-24T00:17:45.000Z | setup.py | torchbox/django-tagging-autocomplete | 43d9604cb2510cf5ba13a533660b7d14d1d5702b | [
"MIT"
] | null | null | null | setup.py | torchbox/django-tagging-autocomplete | 43d9604cb2510cf5ba13a533660b7d14d1d5702b | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from setuptools import setup, find_packages
long_description = open('README.txt').read()
setup(
name='django-tagging-autocomplete',
version='0.3.1',
description='Autocompletion for django-tagging',
long_description=long_description,
author='Ludwik Trammer',
author_ema... | 31 | 64 | 0.653226 |
66a84223179cfca341487381bf4f95676e3fa606 | 2,497 | py | Python | HeVanderbiltModel/PBC[noBloch]/LatticeSolutions.py | Bellomia/pyDrude | cd2d6980008ddbe247f1aa50dc238e0d7cf0904f | [
"MIT"
] | null | null | null | HeVanderbiltModel/PBC[noBloch]/LatticeSolutions.py | Bellomia/pyDrude | cd2d6980008ddbe247f1aa50dc238e0d7cf0904f | [
"MIT"
] | null | null | null | HeVanderbiltModel/PBC[noBloch]/LatticeSolutions.py | Bellomia/pyDrude | cd2d6980008ddbe247f1aa50dc238e0d7cf0904f | [
"MIT"
] | null | null | null | def LatticeSolutions(L, a, U0, W, cutoff): # L: Total length | a: Lattice parameter | U0: Perturbation strenght | Spread: Perturbation width | cutoff: Energy cut-off
print('Diagonalizing the perturbed Hamiltonian...')
import numpy
import pylab
from cmath import sqrt, sin, cos, exp, pi
from... | 29.376471 | 165 | 0.545855 |
484cc1a9025a7631393afd97aa749d7fe77e08c4 | 651 | py | Python | common/BaseModel.py | maoxuelin083/restful-Blog | 29a08613d71ee6c369dcec9ffb09a2a2ed837431 | [
"Apache-2.0"
] | null | null | null | common/BaseModel.py | maoxuelin083/restful-Blog | 29a08613d71ee6c369dcec9ffb09a2a2ed837431 | [
"Apache-2.0"
] | null | null | null | common/BaseModel.py | maoxuelin083/restful-Blog | 29a08613d71ee6c369dcec9ffb09a2a2ed837431 | [
"Apache-2.0"
] | null | null | null | from FlaskProject.extendsions import db
class BaseModels(db.Model):
__abstract__ = True
def save(self):
try:
db.session.add(self)
db.session.commit()
except Exception as e:
print(e)
return False
return True
def delete... | 23.25 | 68 | 0.551459 |
b1fa28d7c67325025738d91a2a05dda49060c688 | 228 | py | Python | shoppingcart/admin.py | sa1if3/django_ecommerce | ef6a0a79d4aa0cf518f68227beb6d15fa7729458 | [
"BSD-3-Clause"
] | 16 | 2021-07-08T10:42:38.000Z | 2022-02-24T05:32:59.000Z | shoppingcart/admin.py | RussQuan/django_ecommerce | 84f090dd2471355a513bb13827ea17e18ce2310f | [
"BSD-3-Clause"
] | null | null | null | shoppingcart/admin.py | RussQuan/django_ecommerce | 84f090dd2471355a513bb13827ea17e18ce2310f | [
"BSD-3-Clause"
] | 4 | 2021-07-08T10:44:56.000Z | 2021-07-12T03:39:40.000Z | from django.contrib import admin
from .models import *
# Register your models here.
@admin.register(Cart)
class CartAdmin(admin.ModelAdmin):
list_display = ("listing","total_quantity","created_by","created_at","updated_at")
| 32.571429 | 86 | 0.767544 |
0ed5d31d6bb118b64618572ffa2026febbecd246 | 5,616 | py | Python | poetry/templates/template_executor.py | bennylut/poetry | f35e55d697260ebcd4de03f2272eb40afc450e1d | [
"MIT"
] | 10 | 2021-10-10T02:02:14.000Z | 2022-03-01T16:45:28.000Z | poetry/templates/template_executor.py | bennylut/poetry | f35e55d697260ebcd4de03f2272eb40afc450e1d | [
"MIT"
] | 2 | 2021-10-31T07:27:54.000Z | 2021-12-05T14:14:30.000Z | poetry/templates/template_executor.py | bennylut/poetry | f35e55d697260ebcd4de03f2272eb40afc450e1d | [
"MIT"
] | 1 | 2021-12-05T15:14:26.000Z | 2021-12-05T15:14:26.000Z | import zipfile
from contextlib import contextmanager
from pathlib import Path
from tempfile import TemporaryDirectory
from typing import List, Dict, Optional, ContextManager
from poetry.core.pyproject.project import Project
from poetry.core.vcs import Git
from poetry.core.utils.props_ext import cached_property
from po... | 30.356757 | 117 | 0.633725 |
2a9974268b8baf372ce5c8bbc06cff8ae82e7860 | 46,206 | py | Python | kitsune/wiki/views.py | jgmize/kitsune | 8f23727a9c7fcdd05afc86886f0134fb08d9a2f0 | [
"BSD-3-Clause"
] | null | null | null | kitsune/wiki/views.py | jgmize/kitsune | 8f23727a9c7fcdd05afc86886f0134fb08d9a2f0 | [
"BSD-3-Clause"
] | null | null | null | kitsune/wiki/views.py | jgmize/kitsune | 8f23727a9c7fcdd05afc86886f0134fb08d9a2f0 | [
"BSD-3-Clause"
] | null | null | null | from datetime import datetime
import json
import logging
import time
from django.conf import settings
from django.contrib import messages
from django.contrib.auth.models import User
from django.core.exceptions import PermissionDenied
from django.db import connection
from django.http import (HttpResponse, HttpResponseR... | 36.788217 | 86 | 0.641432 |
c9f99a89abb8aad7636656b84593912ac65862a3 | 1,118 | py | Python | cohesity_management_sdk/models/type_sql_protection_source_enum.py | nick6655/management-sdk-python | 88e792cb83e5c24a22af495b220c145d0c45841d | [
"Apache-2.0"
] | 18 | 2019-09-24T17:35:53.000Z | 2022-03-25T08:08:47.000Z | cohesity_management_sdk/models/type_sql_protection_source_enum.py | nick6655/management-sdk-python | 88e792cb83e5c24a22af495b220c145d0c45841d | [
"Apache-2.0"
] | 18 | 2019-03-29T19:32:29.000Z | 2022-01-03T23:16:45.000Z | cohesity_management_sdk/models/type_sql_protection_source_enum.py | nick6655/management-sdk-python | 88e792cb83e5c24a22af495b220c145d0c45841d | [
"Apache-2.0"
] | 16 | 2019-02-27T06:54:12.000Z | 2021-11-16T18:10:24.000Z | # -*- coding: utf-8 -*-
# Copyright 2021 Cohesity Inc.
class TypeSqlProtectionSourceEnum(object):
"""Implementation of the 'Type_SqlProtectionSource' enum.
Specifies the type of the managed Object in a SQL Protection Source.
Examples of SQL Objects include 'kInstance' and 'kDatabase'.
'kInstance' ind... | 30.216216 | 72 | 0.711986 |
a15203fce68e0225a09484576eb0c5044acde100 | 1,098 | py | Python | examples/animations/warping.py | colinmford/coldtype | 8462dbd5f65f3ef8f3cbc8662a866b7e20ec5985 | [
"Apache-2.0"
] | null | null | null | examples/animations/warping.py | colinmford/coldtype | 8462dbd5f65f3ef8f3cbc8662a866b7e20ec5985 | [
"Apache-2.0"
] | null | null | null | examples/animations/warping.py | colinmford/coldtype | 8462dbd5f65f3ef8f3cbc8662a866b7e20ec5985 | [
"Apache-2.0"
] | null | null | null | from coldtype import *
from coldtype.warping import warp_fn
from coldtype.fx.skia import phototype
Style.RegisterShorthandPrefix("≈", "~/Type/fonts/fonts")
peshka = Font.Cacheable("≈/CoFoPeshkaVariableV0.5.ttf")
loop = Loop(150, 15, [ # some keyframes
dict(wdth=0, wght=0, rotate=-15, leading=200,
font_siz... | 37.862069 | 62 | 0.615665 |
91274dd79740393be58a86e7b52975d4460a763b | 8,823 | py | Python | mlir/test/Bindings/Python/dialects/linalg/opdsl/emit_structured_generic.py | keryell/llvm-2 | 4dc23a26d1bd6ced23969c0525dedbddf8c6fddc | [
"Apache-2.0"
] | null | null | null | mlir/test/Bindings/Python/dialects/linalg/opdsl/emit_structured_generic.py | keryell/llvm-2 | 4dc23a26d1bd6ced23969c0525dedbddf8c6fddc | [
"Apache-2.0"
] | null | null | null | mlir/test/Bindings/Python/dialects/linalg/opdsl/emit_structured_generic.py | keryell/llvm-2 | 4dc23a26d1bd6ced23969c0525dedbddf8c6fddc | [
"Apache-2.0"
] | null | null | null | # RUN: %PYTHON %s | FileCheck %s
from typing import Optional, Sequence
from mlir.ir import *
from mlir.dialects import builtin
from mlir.dialects import linalg
from mlir.dialects import std
from mlir.dialects.linalg.opdsl.lang import *
@linalg_structured_op
def matmul_mono(A=TensorDef(T, S.M, S.K),
... | 48.745856 | 98 | 0.535872 |
ff41f41402ac874f70fc7c285d5ba81ee35ff4ff | 655 | py | Python | app/main/forms.py | agladyshev/FSND-brewlocker | 17e8c0411b0f1f87c2875e7622f30a23ccf8b75c | [
"MIT"
] | null | null | null | app/main/forms.py | agladyshev/FSND-brewlocker | 17e8c0411b0f1f87c2875e7622f30a23ccf8b75c | [
"MIT"
] | null | null | null | app/main/forms.py | agladyshev/FSND-brewlocker | 17e8c0411b0f1f87c2875e7622f30a23ccf8b75c | [
"MIT"
] | null | null | null | from flask_wtf import FlaskForm
from flask_wtf.file import FileField, FileRequired, FileAllowed
from wtforms import StringField, TextAreaField, SubmitField
from wtforms.validators import Required, Length, URL
from wtforms import ValidationError
from .. import images
class ItemForm(FlaskForm):
header = StringField... | 40.9375 | 74 | 0.732824 |
e73f3790370ad96d8c899fb14c1fbd21739e3196 | 4,410 | py | Python | aleph/logic/profiles.py | aaronarnold2/aleph | 1728f4db8863554d5b0722546838970e53ec72bd | [
"MIT"
] | 2 | 2021-01-09T17:27:23.000Z | 2021-01-09T17:27:25.000Z | aleph/logic/profiles.py | nabla-c0d3/aleph | d0e4e04e23cb7ee3971298e33ccb1c5171ae0779 | [
"MIT"
] | null | null | null | aleph/logic/profiles.py | nabla-c0d3/aleph | d0e4e04e23cb7ee3971298e33ccb1c5171ae0779 | [
"MIT"
] | null | null | null | import logging
from datetime import datetime
from sqlalchemy.orm import aliased
from aleph.util import PairwiseDict
from aleph.core import db
from aleph.model import Collection, EntitySet, EntitySetItem, Judgement
log = logging.getLogger(__name__)
def collection_profiles(collection_id, judgements=None, deleted=Fals... | 37.058824 | 87 | 0.703855 |
d863b4396abb0ffe59d743d211d8edb93c482b2e | 1,071 | py | Python | smsAlert/smsAlert.py | brijkishor7828/API-Integration-Sample-Code-Python | df8c276eeb221fc605848fd2af9f1795c0d31b2d | [
"0BSD"
] | null | null | null | smsAlert/smsAlert.py | brijkishor7828/API-Integration-Sample-Code-Python | df8c276eeb221fc605848fd2af9f1795c0d31b2d | [
"0BSD"
] | null | null | null | smsAlert/smsAlert.py | brijkishor7828/API-Integration-Sample-Code-Python | df8c276eeb221fc605848fd2af9f1795c0d31b2d | [
"0BSD"
] | null | null | null | # -*- coding: utf-8 -*-
import json
import requests
class smsAlertException(Exception):
def __init__(self, message):
self.message = message
def get_message(self):
return self.message
class smsAlertMsg(object):
"""A simple Python API for the smsAlert
It includes methods for callin... | 26.775 | 61 | 0.524743 |
a671dd7a9004808f6531650fc6d23bb866931e2e | 525 | py | Python | rover/core/servers/ArduinoSocketServer/misc/sqlFunctions.py | CSUFTitanRover/TitanRover2018 | 4926d377322a37ba644d7e852faa305fb8bb9b55 | [
"Apache-2.0"
] | 16 | 2017-09-01T23:33:17.000Z | 2021-01-04T02:41:19.000Z | rover/core/servers/ArduinoSocketServer/misc/sqlFunctions.py | CSUFTitanRover/TitanRover2018 | 4926d377322a37ba644d7e852faa305fb8bb9b55 | [
"Apache-2.0"
] | 56 | 2017-08-30T01:14:46.000Z | 2021-02-28T22:18:44.000Z | rover/core/servers/ArduinoSocketServer/misc/sqlFunctions.py | CSUFTitanRover/TitanRover2018 | 4926d377322a37ba644d7e852faa305fb8bb9b55 | [
"Apache-2.0"
] | 15 | 2017-09-14T19:55:55.000Z | 2020-05-03T19:44:39.000Z | import sqlite3
from sqlite3 import Error
def storeMessage(time, distance, messageType):
conn = sqlite3.connect('telemetry.db', check_same_thread=False)
c = conn.cursor()
try:
c.execute('''CREATE TABLE IF NOT EXISTS telemetry
(time double PRIMARY KEY,
distance double NOT NULL,
messageType intege... | 29.166667 | 95 | 0.685714 |
7fa0b7416a01cba57603209b516a2f4ea3a0dfcb | 2,333 | py | Python | tests-python/test_batch_waveforms_from_files.py | babycat-io/babycat | 39ecba8469e698a990bc9dc52e5de9ae78492a60 | [
"MIT"
] | 8 | 2021-05-10T23:12:14.000Z | 2022-02-23T06:54:31.000Z | tests-python/test_batch_waveforms_from_files.py | babycat-io/babycat | 39ecba8469e698a990bc9dc52e5de9ae78492a60 | [
"MIT"
] | 13 | 2021-06-01T05:31:17.000Z | 2022-03-25T22:24:18.000Z | tests-python/test_batch_waveforms_from_files.py | babycat-io/babycat | 39ecba8469e698a990bc9dc52e5de9ae78492a60 | [
"MIT"
] | 1 | 2021-06-01T05:24:52.000Z | 2021-06-01T05:24:52.000Z | """
Tests loading waveform from file.
These tests mirror the ones in ``../tests/test_waveform_batch_from_files.rs``
"""
from fixtures import *
import babycat
ALL_SAME_FILENAMES = [COF_FILENAME, COF_FILENAME, COF_FILENAME]
def test_all_same_file_1():
batch = babycat.batch.waveforms_from_files(ALL_SAME_FILENAMES... | 34.820896 | 77 | 0.737248 |
b50ff04ac894b1b7f8cd4eae732e6c03667ca500 | 647 | py | Python | thenewboston/utils/files.py | rajat4665/thenewboston-python | df842c793fe7bfd8731fd8746abf25747c9e569e | [
"MIT"
] | null | null | null | thenewboston/utils/files.py | rajat4665/thenewboston-python | df842c793fe7bfd8731fd8746abf25747c9e569e | [
"MIT"
] | 3 | 2021-03-30T14:03:41.000Z | 2021-09-22T19:30:31.000Z | thenewboston/utils/files.py | rajat4665/thenewboston-python | df842c793fe7bfd8731fd8746abf25747c9e569e | [
"MIT"
] | null | null | null | import json
from hashlib import sha3_256 as sha3
def get_file_hash(file):
"""
Return hash value of file
"""
h = sha3()
with open(file, 'rb') as file:
chunk = 0
while chunk != b'':
chunk = file.read(1024)
h.update(chunk)
return h.hexdigest()
def rea... | 15.404762 | 36 | 0.525502 |
948c15483503842770b133c829cdad2605f2a828 | 6,633 | py | Python | test/unitTests/stlOperatorTests/testTimedUntil.py | pieter-hendriks/STL-monitoring | 114b73b1f4b0687b11b8842b3c4a1c8af7b0d9df | [
"MIT"
] | null | null | null | test/unitTests/stlOperatorTests/testTimedUntil.py | pieter-hendriks/STL-monitoring | 114b73b1f4b0687b11b8842b3c4a1c8af7b0d9df | [
"MIT"
] | null | null | null | test/unitTests/stlOperatorTests/testTimedUntil.py | pieter-hendriks/STL-monitoring | 114b73b1f4b0687b11b8842b3c4a1c8af7b0d9df | [
"MIT"
] | null | null | null | """ Test the timed until operation (both the efficient and syntax variants) """
import unittest
from stl.signals import Signal, BooleanSignal
from stl.utility import Interval
from stl.operators import computeTimedUntil, computeSyntaxUntil, computeBooleanUntil
from .untilTestData import TESTCASE1_INTERVAL_LOWERBOUND, ... | 46.711268 | 144 | 0.732248 |
83438ffa0de9a825d8bc295785047481855f9182 | 3,223 | py | Python | aiopyfix/message.py | qwhelan/AIOPyFix | b7d172db9d30d1023e7161c35d30347bea33a085 | [
"CC0-1.0"
] | 12 | 2020-02-11T09:16:17.000Z | 2021-12-29T06:31:31.000Z | aiopyfix/message.py | qwhelan/AIOPyFix | b7d172db9d30d1023e7161c35d30347bea33a085 | [
"CC0-1.0"
] | 2 | 2021-08-30T15:09:10.000Z | 2021-09-16T12:55:27.000Z | aiopyfix/message.py | qwhelan/AIOPyFix | b7d172db9d30d1023e7161c35d30347bea33a085 | [
"CC0-1.0"
] | 8 | 2019-02-04T21:02:07.000Z | 2021-11-07T15:14:51.000Z | from collections import OrderedDict
from enum import Enum
class MessageDirection(Enum):
INBOUND = 0
OUTBOUND = 1
class _FIXRepeatingGroupContainer:
def __init__(self):
self.groups = []
def addGroup(self, group, index):
if index == -1:
self.groups.append(group)
else... | 27.547009 | 81 | 0.585479 |
09dc5c91e56457ca79126b900d31720e868778e2 | 10,888 | py | Python | tests/test_api.py | YixinLin294/flask_demo | 34b92947632bb01e65f700a6ac175841d966e3a2 | [
"MIT"
] | null | null | null | tests/test_api.py | YixinLin294/flask_demo | 34b92947632bb01e65f700a6ac175841d966e3a2 | [
"MIT"
] | 4 | 2020-03-24T16:46:50.000Z | 2021-06-01T23:27:42.000Z | tests/test_api.py | YixinLin294/flask_demo | 34b92947632bb01e65f700a6ac175841d966e3a2 | [
"MIT"
] | null | null | null | import unittest
import json
import re
from base64 import b64encode
from flask import url_for
from app import create_app, db
from app.models import User, Role, Post, Comment
class APITestCase(unittest.TestCase):
def setUp(self):
self.app = create_app('testing')
self.app_context = self.app... | 41.086792 | 94 | 0.58165 |
42ad7c7ab75d523718c244b944c1efdc79535ee0 | 347 | py | Python | CyberPi V1/Python with CyberPi 037（mkcloud 聊天机器人）.py | SCSZCC/PythonWithHardware | 3e5ae890cb7a8e5e2c5a636092aca9ce21728ab2 | [
"MIT"
] | 2 | 2020-08-15T02:49:19.000Z | 2020-08-15T02:49:31.000Z | CyberPi V1/Python with CyberPi 037（mkcloud 聊天机器人）.py | SCSZCC/PythonWithHardware | 3e5ae890cb7a8e5e2c5a636092aca9ce21728ab2 | [
"MIT"
] | null | null | null | CyberPi V1/Python with CyberPi 037（mkcloud 聊天机器人）.py | SCSZCC/PythonWithHardware | 3e5ae890cb7a8e5e2c5a636092aca9ce21728ab2 | [
"MIT"
] | 1 | 2022-02-24T05:30:30.000Z | 2022-02-24T05:30:30.000Z | """
名称：037 mkcloud上的聊天机器人-小思
硬件： 童芯派
功能介绍：简单的模拟一个登录界面
难度：⭐⭐
支持的模式：上传、在线都支持
使用到的API及功能解读：
1. mkcloud.robot.chat(str)
str:字符串，填入要聊天的内容，返回值为字符串，为机器人给出的回复。
"""
# ---------程序分割线----------------程序分割线----------------程序分割线----------
import mkcloud
while True:
say = input("请输入要聊天内容:")
response = mkcloud.robot.cha... | 14.458333 | 68 | 0.605187 |
ae37a8a8de9daeb124bc8ecdc88b259511f64bef | 1,684 | py | Python | pangea/core/migrations/0006_auto_20200905_2245.py | LongTailBio/pangea-django | 630551dded7f9e38f95eda8c36039e0de46961e7 | [
"MIT"
] | null | null | null | pangea/core/migrations/0006_auto_20200905_2245.py | LongTailBio/pangea-django | 630551dded7f9e38f95eda8c36039e0de46961e7 | [
"MIT"
] | 27 | 2020-03-26T02:55:12.000Z | 2022-03-12T00:55:04.000Z | pangea/core/migrations/0006_auto_20200905_2245.py | LongTailBio/pangea-django | 630551dded7f9e38f95eda8c36039e0de46961e7 | [
"MIT"
] | 1 | 2021-09-14T08:15:54.000Z | 2021-09-14T08:15:54.000Z | # Generated by Django 3.0.3 on 2020-09-05 22:45
import django.contrib.postgres.fields.jsonb
from django.db import migrations, models
import django.db.models.deletion
import pangea.core.encrypted_fields
import uuid
class Migration(migrations.Migration):
dependencies = [
('core', '0005_auto_20200822_0140'... | 38.272727 | 121 | 0.61342 |
46a5ec12bf67039b685787a9cb47e0727daee2f1 | 1,132 | py | Python | src/app/modules/examples/module_random_volume.py | balintfodor/Build3D | b735129e380a414d62a1d91556f5f52674f1f6f9 | [
"MIT"
] | null | null | null | src/app/modules/examples/module_random_volume.py | balintfodor/Build3D | b735129e380a414d62a1d91556f5f52674f1f6f9 | [
"MIT"
] | 5 | 2021-03-19T09:28:07.000Z | 2022-03-12T00:09:14.000Z | src/app/modules/examples/module_random_volume.py | balintfodor/Build3D | b735129e380a414d62a1d91556f5f52674f1f6f9 | [
"MIT"
] | 1 | 2019-12-23T16:44:49.000Z | 2019-12-23T16:44:49.000Z | import a3dc_module_interface as a3
import numpy as np
def module_main(ctx):
w = a3.inputs['width']
h = a3.inputs['height']
d = a3.inputs['depth']
seed = a3.inputs['seed']
np.random.seed(seed)
vol = np.random.rand(w, h, d)
print('your volume is ready! 🍻')
a3.outputs['volume'] = a3.Mu... | 35.375 | 70 | 0.519435 |
418dd604251352a11dc8cb504b8aa278f4c82bff | 10,775 | py | Python | cohorts_proj/api/adapters/unm.py | gellerjulia/harmonization-website | c47b109d9110e34520ef43469b6b5ccac01cc178 | [
"MIT"
] | 1 | 2020-09-20T02:32:01.000Z | 2020-09-20T02:32:01.000Z | cohorts_proj/api/adapters/unm.py | gellerjulia/harmonization-website | c47b109d9110e34520ef43469b6b5ccac01cc178 | [
"MIT"
] | 20 | 2020-04-17T14:01:41.000Z | 2022-03-12T00:30:23.000Z | cohorts_proj/api/adapters/unm.py | gellerjulia/harmonization-website | c47b109d9110e34520ef43469b6b5ccac01cc178 | [
"MIT"
] | 3 | 2020-10-08T00:24:51.000Z | 2021-06-02T20:07:30.000Z | import pandas as pd
import numpy as np
from datasets.models import RawUNM
from api.dilutionproc import predict_dilution
from api.analysis import add_confound
import statsmodels.api as sm
import statsmodels.formula.api as smf
import statsmodels
def get_dataframe():
"""Returns a pandas DataFrame with the correct
... | 37.940141 | 100 | 0.560278 |
e5c70e753723b9a97cfa6bf00cfc91cacef066a7 | 862 | py | Python | Math/python/leetcode67_add_Binary.py | wenxinjie/leetcode | c459a01040c8fe0783e15a16b8d7cca4baf4612a | [
"Apache-2.0"
] | null | null | null | Math/python/leetcode67_add_Binary.py | wenxinjie/leetcode | c459a01040c8fe0783e15a16b8d7cca4baf4612a | [
"Apache-2.0"
] | null | null | null | Math/python/leetcode67_add_Binary.py | wenxinjie/leetcode | c459a01040c8fe0783e15a16b8d7cca4baf4612a | [
"Apache-2.0"
] | null | null | null | # Given two binary strings, return their sum (also a binary string).
# The input strings are both non-empty and contains only characters 1 or 0.
# Example 1:
# Input: a = "11", b = "1"
# Output: "100"
# Example 2:
# Input: a = "1010", b = "1011"
# Output: "10101"
class Solution:
def addBinary(self, a, b):
... | 22.102564 | 75 | 0.433875 |
ea23f1e1511e9420d2fabf753649b8833b8dfdbf | 8,827 | py | Python | intersight/model/storage_flex_flash_controller_list_all_of.py | CiscoDevNet/intersight-python | 04b721f37c3044646a91c185c7259edfb991557a | [
"Apache-2.0"
] | 5 | 2021-12-16T15:13:32.000Z | 2022-03-29T16:09:54.000Z | intersight/model/storage_flex_flash_controller_list_all_of.py | CiscoDevNet/intersight-python | 04b721f37c3044646a91c185c7259edfb991557a | [
"Apache-2.0"
] | 4 | 2022-01-25T19:05:51.000Z | 2022-03-29T20:18:37.000Z | intersight/model/storage_flex_flash_controller_list_all_of.py | CiscoDevNet/intersight-python | 04b721f37c3044646a91c185c7259edfb991557a | [
"Apache-2.0"
] | 2 | 2020-07-07T15:01:08.000Z | 2022-01-31T04:27:35.000Z | """
Cisco Intersight
Cisco Intersight is a management platform delivered as a service with embedded analytics for your Cisco and 3rd party IT infrastructure. This platform offers an intelligent level of management that enables IT organizations to analyze, simplify, and automate their environments in more advan... | 50.153409 | 1,678 | 0.643594 |
a1defa967f02bbb8375847a9403e6d4d5512cc2c | 1,912 | py | Python | crosswalk_client/methods/entity/best_match_or_create.py | The-Politico/django-crosswalk-client | 57d7658ed9b91be5d1c5d48398187c7b05acfffe | [
"MIT"
] | 3 | 2020-05-26T16:31:19.000Z | 2021-12-22T16:42:10.000Z | crosswalk_client/methods/entity/best_match_or_create.py | The-Politico/django-crosswalk-client | 57d7658ed9b91be5d1c5d48398187c7b05acfffe | [
"MIT"
] | 6 | 2019-04-05T17:20:24.000Z | 2019-04-13T13:33:01.000Z | crosswalk_client/methods/entity/best_match_or_create.py | The-Politico/django-crosswalk-client | 57d7658ed9b91be5d1c5d48398187c7b05acfffe | [
"MIT"
] | null | null | null | from urllib.parse import urljoin
import requests
from crosswalk_client.encoder import encode
from crosswalk_client.exceptions import BadResponse
from crosswalk_client.objects.entity import EntityObject
from crosswalk_client.validators.entity import (
validate_block_attrs_kwarg,
validate_create_attrs_kwarg,
... | 29.875 | 75 | 0.611925 |
bcbdb3021669a72639707df7af5231c14fe70cb2 | 257 | py | Python | django/stock/urls.py | nah990/StockF | 58f719728f4072186459d0ca5651624eab820c5e | [
"MIT"
] | null | null | null | django/stock/urls.py | nah990/StockF | 58f719728f4072186459d0ca5651624eab820c5e | [
"MIT"
] | 3 | 2021-12-27T02:05:58.000Z | 2022-03-23T00:06:14.000Z | django/stock/urls.py | nah990/StockF | 58f719728f4072186459d0ca5651624eab820c5e | [
"MIT"
] | null | null | null | from django.urls import path
from django.views.generic import TemplateView
app_name = 'stock'
urlpatterns = [
path('test', TemplateView.as_view(template_name="stock/index.html")),
path('', TemplateView.as_view(template_name="stock/index.html")),
] | 28.555556 | 73 | 0.747082 |
dc06ade5272e3478f34ba3f0439ac9ff43111ca0 | 1,676 | py | Python | auv_control_pi/tests/test_simulator.py | adrienemery/auv-control-pi | 633fe89b652b07eb6ebe03c0550daa211b122297 | [
"MIT"
] | 9 | 2016-10-02T06:59:37.000Z | 2020-09-24T15:36:10.000Z | auv_control_pi/tests/test_simulator.py | adrienemery/auv-control-pi | 633fe89b652b07eb6ebe03c0550daa211b122297 | [
"MIT"
] | null | null | null | auv_control_pi/tests/test_simulator.py | adrienemery/auv-control-pi | 633fe89b652b07eb6ebe03c0550daa211b122297 | [
"MIT"
] | 4 | 2019-01-12T23:09:34.000Z | 2020-11-05T14:52:42.000Z | import pytest
from pygc import great_circle
from ..simulator import Navitgator, GPS, Motor, AHRS
from ..components.navigation import Point, distance_to_point
@pytest.fixture
def sim():
starting_point = Point(50, 120)
return Navitgator(gps=GPS(),
current_location=starting_point,
... | 31.622642 | 77 | 0.671241 |
fd45e02f1535a505a9a431d5f9baf5fec189eda6 | 4,688 | py | Python | tamr_unify_client/base_collection.py | ianbakst/tamr-client | ae7a6190a2251d31f973f9d5a7170ac5dc097f97 | [
"Apache-2.0"
] | 9 | 2019-08-13T11:07:06.000Z | 2022-01-14T18:15:13.000Z | tamr_unify_client/base_collection.py | ianbakst/tamr-client | ae7a6190a2251d31f973f9d5a7170ac5dc097f97 | [
"Apache-2.0"
] | 166 | 2019-08-09T18:51:05.000Z | 2021-12-02T15:24:15.000Z | tamr_unify_client/base_collection.py | ianbakst/tamr-client | ae7a6190a2251d31f973f9d5a7170ac5dc097f97 | [
"Apache-2.0"
] | 21 | 2019-08-12T15:37:31.000Z | 2021-06-15T14:06:23.000Z | from abc import abstractmethod
from collections.abc import Iterable
class BaseCollection(Iterable):
"""Base class for client-side collections.
:param client: Delegate underlying API calls to this client.
:type client: :class:`~tamr_unify_client.Client`
:param api_path: API path for this collection. E... | 38.113821 | 138 | 0.656143 |
1d0f8c64fe8122e852ac6ba76fea974737e10080 | 672 | py | Python | ExerciciosPYTHON/PythonCeV/053.py | Samuel-Melo890/Python-Desafios | 2abc7734d6a6c1f5ab67421f792d6889d93bac94 | [
"MIT"
] | null | null | null | ExerciciosPYTHON/PythonCeV/053.py | Samuel-Melo890/Python-Desafios | 2abc7734d6a6c1f5ab67421f792d6889d93bac94 | [
"MIT"
] | 2 | 2022-03-18T16:06:07.000Z | 2022-03-18T16:55:29.000Z | ExerciciosPYTHON/PythonCeV/053.py | Samuel-Melo890/Python-Desafios | 2abc7734d6a6c1f5ab67421f792d6889d93bac94 | [
"MIT"
] | null | null | null | print('='*8,'Detector de Palíndromo','='*8)
f = str(input('Digite uma frase: ')).strip().upper().split()
fj = ''.join(f)
r = fj[::-1]
print('A frase {}{}{} de trás para frente fica {}{}{}.'.format('\033[4m', fj, '\033[m', '\033[4m', r, '\033[m'))
if fj == r:
print('Portanto essa frase é um {}PALÍNDROMO{}!'.format(... | 35.368421 | 115 | 0.543155 |
d6e810f6e9e19d9716f8e921bd30fe5676f69f23 | 812 | py | Python | example/speech-demo/tests/test_nothing.py | IIMarch/mxnet | 64c35f2d41f5bad3f9cbf4d4fda9cf3bf3dadb4b | [
"Apache-2.0"
] | 399 | 2017-05-30T05:12:48.000Z | 2022-01-29T05:53:08.000Z | example/speech-demo/tests/test_nothing.py | IIMarch/mxnet | 64c35f2d41f5bad3f9cbf4d4fda9cf3bf3dadb4b | [
"Apache-2.0"
] | 58 | 2017-05-30T23:25:32.000Z | 2019-11-18T09:30:54.000Z | example/speech-demo/tests/test_nothing.py | IIMarch/mxnet | 64c35f2d41f5bad3f9cbf4d4fda9cf3bf3dadb4b | [
"Apache-2.0"
] | 107 | 2017-05-30T05:53:22.000Z | 2021-06-24T02:43:31.000Z | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 40.6 | 62 | 0.770936 |
1383b333bce4199ba0c3d53c7b33217efeb2a454 | 268 | py | Python | tests/testapp/models.py | sen-den/django-link-shortener | 9dcfcf362a14b11a1fa203b376a4bd2840450b09 | [
"MIT"
] | 24 | 2018-06-09T10:00:53.000Z | 2022-03-04T19:49:49.000Z | tests/testapp/models.py | sen-den/django-link-shortener | 9dcfcf362a14b11a1fa203b376a4bd2840450b09 | [
"MIT"
] | 8 | 2018-06-10T20:45:20.000Z | 2022-02-20T14:50:07.000Z | tests/testapp/models.py | sen-den/django-link-shortener | 9dcfcf362a14b11a1fa203b376a4bd2840450b09 | [
"MIT"
] | 7 | 2019-05-22T06:25:38.000Z | 2022-03-04T01:03:17.000Z | from django.contrib.auth.models import AbstractUser
from django.db import models
# Create your models here.
class CustomUser(AbstractUser):
email = models.EmailField(unique=True, error_messages={
'unique': "A user with that email already exists."
})
| 26.8 | 59 | 0.738806 |
5d06f31ba2bf9f1fb58640d75929604c576c9827 | 616 | py | Python | bin/startup.py | tdilauro/circulation-core | 8086ca8cbedd5f4b2a0c44df97889d078ff79aac | [
"Apache-2.0"
] | 1 | 2021-11-16T00:58:43.000Z | 2021-11-16T00:58:43.000Z | bin/startup.py | tdilauro/circulation-core | 8086ca8cbedd5f4b2a0c44df97889d078ff79aac | [
"Apache-2.0"
] | 44 | 2022-01-20T01:31:32.000Z | 2022-03-31T01:50:41.000Z | bin/startup.py | tdilauro/circulation-core | 8086ca8cbedd5f4b2a0c44df97889d078ff79aac | [
"Apache-2.0"
] | 1 | 2021-05-12T19:11:52.000Z | 2021-05-12T19:11:52.000Z | from os import path, sys
# Good overview of what is going on here:
# https://stackoverflow.com/questions/11536764/how-to-fix-attempted-relative-import-in-non-package-even-with-init-py
# Once we have a stable package name for core, it should be easier to do away with something like this
# for now we add the core compon... | 51.333333 | 116 | 0.784091 |
8d53d257e96cfb17ba8b88d7de2e5c41fa65a818 | 6,628 | py | Python | ews-fetch-calendar.py | chckyn/ews-orgmode | a63ee0f703912812702c17b139ba6eabc441ddfd | [
"MIT"
] | 50 | 2015-01-19T16:45:13.000Z | 2021-11-19T13:57:44.000Z | ews-fetch-calendar.py | chckyn/ews-orgmode | a63ee0f703912812702c17b139ba6eabc441ddfd | [
"MIT"
] | 6 | 2015-03-03T07:54:23.000Z | 2020-06-16T13:20:21.000Z | ews-fetch-calendar.py | chckyn/ews-orgmode | a63ee0f703912812702c17b139ba6eabc441ddfd | [
"MIT"
] | 20 | 2015-01-10T20:41:31.000Z | 2021-07-13T18:16:57.000Z | #!/usr/bin/python
# This script was inspired by:
# http://blogs.msdn.com/b/exchangedev/archive/2009/02/05/quick-and-dirty-unix-shell-scripting-with-ews.aspx
# http://ewsmacwidget.codeplex.com/
import os
from lxml import etree
from datetime import datetime
from datetime import date
from datetime import timedelta
from ... | 32.174757 | 131 | 0.702625 |
d9f4fda51b20e161332b506d6241e4f74b1703e1 | 2,880 | py | Python | test/test_volume.py | jonazpiazu/rocker | 37a60a046fd858f4a0b812de70f88444ddae56cc | [
"Apache-2.0"
] | 259 | 2019-01-09T06:39:04.000Z | 2022-03-30T11:29:04.000Z | test/test_volume.py | jonazpiazu/rocker | 37a60a046fd858f4a0b812de70f88444ddae56cc | [
"Apache-2.0"
] | 150 | 2019-01-03T00:06:16.000Z | 2022-03-17T01:44:20.000Z | test/test_volume.py | osrf/crocker | 556596dc099f823a7364b61e68e68b9831eed4b3 | [
"Apache-2.0"
] | 37 | 2019-02-21T20:39:00.000Z | 2022-01-03T20:02:17.000Z | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 41.142857 | 90 | 0.678472 |
514dbdb6ed886c1e6bed7d80c4bba264cb875e5d | 3,319 | py | Python | goodbadcomment/HcpChapingGet.py | MyCodeBattle/ManyPython | eee07c96e3048248ce281a9203fc8cd1a38f3f2a | [
"MIT"
] | null | null | null | goodbadcomment/HcpChapingGet.py | MyCodeBattle/ManyPython | eee07c96e3048248ce281a9203fc8cd1a38f3f2a | [
"MIT"
] | null | null | null | goodbadcomment/HcpChapingGet.py | MyCodeBattle/ManyPython | eee07c96e3048248ce281a9203fc8cd1a38f3f2a | [
"MIT"
] | null | null | null | import pandas as pd
from loguru import logger
import arrow
import time
import json
import requests
import tqdm
from retrying import retry
headers = {'Accept': 'application/json', 'Content-Type': 'application/json', 'Cookie': 'G_zj_gsid=08890c40500a4a8ab21e0b2b9e9e47b1-gsid-', 'User-Agent': 'Mozilla/5.0 (Macintosh; Int... | 46.097222 | 814 | 0.712263 |
02439bc423929cf57d69d44d014931c16a74ad5e | 1,717 | py | Python | spinoffs/inference_gym/targets/banana_test.py | KonstantinKlepikov/probability | 0cc6c5febf3b10ece5bb2b9877bd695137a420ea | [
"Apache-2.0"
] | 1 | 2020-08-28T21:01:19.000Z | 2020-08-28T21:01:19.000Z | spinoffs/inference_gym/targets/banana_test.py | KonstantinKlepikov/probability | 0cc6c5febf3b10ece5bb2b9877bd695137a420ea | [
"Apache-2.0"
] | null | null | null | spinoffs/inference_gym/targets/banana_test.py | KonstantinKlepikov/probability | 0cc6c5febf3b10ece5bb2b9877bd695137a420ea | [
"Apache-2.0"
] | null | null | null | # Lint as: python3
# Copyright 2020 The TensorFlow Probability Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required ... | 32.396226 | 78 | 0.70763 |
4b92b5d50fddc227448a20d9adddc59cc2a73c4c | 2,134 | py | Python | pyjobs/core/management/commands/send_weekly_mailing.py | Mdslino/PyJobs | d2496d58067503c3304a6c59052238b1f097472b | [
"BSD-3-Clause"
] | 132 | 2017-10-27T23:54:47.000Z | 2022-03-15T12:10:10.000Z | pyjobs/core/management/commands/send_weekly_mailing.py | Mdslino/PyJobs | d2496d58067503c3304a6c59052238b1f097472b | [
"BSD-3-Clause"
] | 129 | 2017-09-05T04:22:50.000Z | 2022-03-12T01:06:49.000Z | pyjobs/core/management/commands/send_weekly_mailing.py | Mdslino/PyJobs | d2496d58067503c3304a6c59052238b1f097472b | [
"BSD-3-Clause"
] | 82 | 2017-10-28T00:14:04.000Z | 2021-07-27T20:00:40.000Z | import os
from datetime import datetime
from django.core.management.base import BaseCommand
from django.db import IntegrityError
from django.template.loader import get_template
from django.core.mail import EmailMultiAlternatives
from django.template import Context
from pyjobs.core.models import Job
from pyjobs.market... | 27.714286 | 87 | 0.66448 |
b1df6c42c5729736b50609dcb895f9b2216f8075 | 58,316 | py | Python | angr/calling_conventions.py | Alexeyan/angr | 445fa2036584598d310ffd58436566847bbc7e1c | [
"BSD-2-Clause"
] | null | null | null | angr/calling_conventions.py | Alexeyan/angr | 445fa2036584598d310ffd58436566847bbc7e1c | [
"BSD-2-Clause"
] | null | null | null | angr/calling_conventions.py | Alexeyan/angr | 445fa2036584598d310ffd58436566847bbc7e1c | [
"BSD-2-Clause"
] | null | null | null | import logging
import claripy
import archinfo
from typing import Union, Optional, List
from .sim_type import SimTypeChar
from .sim_type import SimTypePointer
from .sim_type import SimTypeFixedSizeArray
from .sim_type import SimTypeArray
from .sim_type import SimTypeString
from .sim_type import SimTypeFunction
from .s... | 40.024708 | 156 | 0.617138 |
e07725830b72468e881c6a291346bef2ccc8e4a3 | 39 | py | Python | tests/__init__.py | BitKnitting/FHmonitor | 317bf9bacadba48c437f5478cbd8227bcc644456 | [
"MIT"
] | null | null | null | tests/__init__.py | BitKnitting/FHmonitor | 317bf9bacadba48c437f5478cbd8227bcc644456 | [
"MIT"
] | null | null | null | tests/__init__.py | BitKnitting/FHmonitor | 317bf9bacadba48c437f5478cbd8227bcc644456 | [
"MIT"
] | null | null | null | """Unit test package for FHmonitor."""
| 19.5 | 38 | 0.692308 |
289d73273919563d91698b5d38a093f11592a5a4 | 17,586 | py | Python | keras_transformer/attention.py | ExpectationMax/keras-transformer | 80094d869148bdd857036e7aee9175b82f48221b | [
"MIT"
] | 3 | 2020-05-23T14:19:34.000Z | 2021-04-27T01:20:07.000Z | keras_transformer/attention.py | ExpectationMax/keras-transformer | 80094d869148bdd857036e7aee9175b82f48221b | [
"MIT"
] | null | null | null | keras_transformer/attention.py | ExpectationMax/keras-transformer | 80094d869148bdd857036e7aee9175b82f48221b | [
"MIT"
] | 1 | 2020-12-08T18:17:46.000Z | 2020-12-08T18:17:46.000Z | import numpy as np
# noinspection PyPep8Naming
import tensorflow as tf
from tensorflow.keras import backend as K
from tensorflow.keras.layers import Layer
from tensorflow.keras.utils import get_custom_objects
class _BaseMultiHeadAttention(Layer):
"""
Base class for two types of Multi-head attention layers:
... | 46.278947 | 79 | 0.576254 |
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