fumiyau/python_no_comments_test100000 · Datasets at Hugging Face

f7f4e926cc31185b94f26605c013ccd31d4f9b0f

7,462

py

Python

numba_dppy/tests/njit_tests/dpnp/test_numpy_rng.py

vlad-perevezentsev/numba-dppy

9c8dabf929368db96c3a2abf42072178b6cd9634

[ "Apache-2.0" ]

null

numba_dppy/tests/njit_tests/dpnp/test_numpy_rng.py

vlad-perevezentsev/numba-dppy

9c8dabf929368db96c3a2abf42072178b6cd9634

[ "Apache-2.0" ]

null

numba_dppy/tests/njit_tests/dpnp/test_numpy_rng.py

vlad-perevezentsev/numba-dppy

9c8dabf929368db96c3a2abf42072178b6cd9634

[ "Apache-2.0" ]

null

################################################################################ # Numba-DPPY # # Copyright 2020-2021 Intel Corporation # # 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 in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. ################################################################################ import dpctl import numpy as np from numba import njit import pytest from numba_dppy.testing import dpnp_debug from .dpnp_skip_test import dpnp_skip_test as skip_test # dpnp throws -30 (CL_INVALID_VALUE) when invoked with multiple kinds of # devices at runtime, so testing for level0 only list_of_filter_strs = [ # "opencl:gpu:0", "level0:gpu:0", # "opencl:cpu:0", ] @pytest.fixture(params=list_of_filter_strs) def filter_str(request): return request.param list_of_size = [ 9, (2, 5), (3, 2, 4), ] none_size = [None] @pytest.fixture(params=list_of_size) def unary_size(request): return request.param @pytest.fixture(params=list_of_size + none_size) def three_arg_size(request): return request.param list_of_one_arg = [ ("random_sample", 0.0, 1.0), ("ranf", 0.0, 1.0), ("sample", 0.0, 1.0), ("random", 0.0, 1.0), ("standard_exponential", 0.0, None), ("standard_normal", None, None), ("standard_cauchy", None, None), ] @pytest.fixture(params=list_of_one_arg) def one_arg_fn(request): func_str = "def fn(size):\n return np.random." + request.param[0] + "(size)" ldict = {} exec(func_str, globals(), ldict) fn = ldict["fn"] return fn, request.param def test_one_arg_fn(filter_str, one_arg_fn, unary_size, capfd): if skip_test(filter_str): pytest.skip() op, params = one_arg_fn name, low, high = params f = njit(op) with dpctl.device_context(filter_str), dpnp_debug(): actual = f(unary_size) captured = capfd.readouterr() assert "dpnp implementation" in captured.out if low != None: assert np.all(actual >= low) if high != None: assert np.all(actual < high) list_of_two_arg_fn = [ ("chisquare", 3, 0, None), ("exponential", 3.0, 0, None), ("gamma", 2.0, 0, None), ("geometric", 0.35, 0, None), ("poisson", 5.0, 0, None), ("rayleigh", 2.0, 0, None), ("standard_gamma", 2.0, 0, None), ("weibull", 5.0, 0, None), ] @pytest.fixture(params=list_of_two_arg_fn) def two_arg_fn(request): return request.param def get_two_arg_fn(op_name): func_str = ( "def fn(first_arg, second_arg):\n\treturn np.random." + op_name + "(first_arg, second_arg)" ) ldict = {} exec(func_str, globals(), ldict) fn = ldict["fn"] return fn def test_two_arg_fn(filter_str, two_arg_fn, unary_size, capfd): if skip_test(filter_str): pytest.skip() op_name, first_arg, low, high = two_arg_fn if op_name == "gamma": pytest.skip("AttributeError: 'NoneType' object has no attribute 'ravel'") op = get_two_arg_fn(op_name) f = njit(op) with dpctl.device_context(filter_str), dpnp_debug(): actual = f(first_arg, unary_size) captured = capfd.readouterr() assert "dpnp implementation" in captured.out if low != None and high == None: if np.isscalar(actual): assert actual >= low else: actual = actual.ravel() assert np.all(actual >= low) list_of_three_arg_fn = [ ("randint", 2, 23, 0, None), ("random_integers", 2, 23, 1, None), ("beta", 2.56, 0.8, 0, 1.0), ("binomial", 5, 0.0, 0, 1.0), ("gumbel", 0.5, 0.1, None, None), ("laplace", 0.0, 1.0, None, None), ("lognormal", 3.0, 1.0, None, None), ("multinomial", 100, np.array([1 / 7.0] * 5), 0, 100), ("multivariate_normal", (1, 2), [[1, 0], [0, 1]], None, None), ("negative_binomial", 1, 0.1, 0, None), ("normal", 0.0, 0.1, None, None), ("uniform", -1.0, 0.0, -1.0, 0.0), ] @pytest.fixture(params=list_of_three_arg_fn) def three_arg_fn(request): return request.param def get_three_arg_fn(op_name): func_str = ( "def fn(first_arg, second_arg, third_arg):\n\treturn np.random." + op_name + "(first_arg, second_arg, third_arg)" ) ldict = {} exec(func_str, globals(), ldict) fn = ldict["fn"] return fn def test_three_arg_fn(filter_str, three_arg_fn, three_arg_size, capfd): if skip_test(filter_str): pytest.skip() op_name, first_arg, second_arg, low, high = three_arg_fn if op_name == "multinomial": pytest.skip("DPNP RNG Error: dpnp_rng_multinomial_c() failed") elif op_name == "multivariate_normal": pytest.skip( "No implementation of function Function(<class " "'numba_dppy.dpnp_glue.stubs.dpnp.multivariate_normal'>) found for signature" ) elif op_name == "negative_binomial": pytest.skip("DPNP RNG Error: dpnp_rng_negative_binomial_c() failed.") elif op_name == "gumbel": pytest.skip("DPNP error") op = get_three_arg_fn(op_name) f = njit(op) with dpctl.device_context(filter_str), dpnp_debug(): actual = f(first_arg, second_arg, three_arg_size) captured = capfd.readouterr() assert "dpnp implementation" in captured.out if low != None and high == None: if second_arg: low = first_arg high = second_arg assert np.all(actual >= low) assert np.all(actual <= high) else: high = first_arg assert np.all(actual >= low) assert np.all(actual <= high) elif low != None and high != None: if np.isscalar(actual): assert actual >= low assert actual <= high else: actual = actual.ravel() assert np.all(actual >= low) assert np.all(actual <= high) def test_rand(filter_str): if skip_test(filter_str): pytest.skip() @njit def f(): c = np.random.rand(3, 2) return c with dpctl.device_context(filter_str), dpnp_debug(): actual = f() actual = actual.ravel() assert np.all(actual >= 0.0) assert np.all(actual < 1.0) def test_hypergeometric(filter_str, three_arg_size): if skip_test(filter_str): pytest.skip() @njit def f(ngood, nbad, nsamp, size): res = np.random.hypergeometric(ngood, nbad, nsamp, size) return res ngood, nbad, nsamp = 100, 2, 10 with dpctl.device_context(filter_str), dpnp_debug(): actual = f(ngood, nbad, nsamp, three_arg_size) if np.isscalar(actual): assert actual >= 0 assert actual <= min(nsamp, ngood + nbad) else: actual = actual.ravel() assert np.all(actual >= 0) assert np.all(actual <= min(nsamp, ngood + nbad))

28.265152

89

0.592469

>= 0 assert actual <= min(nsamp, ngood + nbad) else: actual = actual.ravel() assert np.all(actual >= 0) assert np.all(actual <= min(nsamp, ngood + nbad))

true

f7f4ea801fc453d75b58ead0003b616af6e45c42

1,417

py

Python

isochrones/extinction.py

Sam-2727/isochrones

11f49c6c693e91bf275bb6a20af41b5f42e233da

[ "MIT" ]

100

2015-03-12T12:51:03.000Z

2022-01-07T23:16:01.000Z

isochrones/extinction.py

Sam-2727/isochrones

11f49c6c693e91bf275bb6a20af41b5f42e233da

[ "MIT" ]

154

2015-02-26T20:47:57.000Z

2022-03-29T09:51:50.000Z

isochrones/extinction.py

Sam-2727/isochrones

11f49c6c693e91bf275bb6a20af41b5f42e233da

[ "MIT" ]

62

2015-02-03T17:58:43.000Z

2021-12-04T22:31:20.000Z

import re from .config import on_rtd if not on_rtd: from astropy.coordinates import SkyCoord from six.moves import urllib def get_AV_infinity(ra, dec, frame="icrs"): """ Gets the A_V exctinction at infinity for a given line of sight. Queries the NED database. :param ra,dec: Desired coordinates, in degrees. :param frame: (optional) Frame of input coordinates (e.g., ``'icrs', 'galactic'``) """ coords = SkyCoord(ra, dec, unit="deg", frame=frame).transform_to("icrs") rah, ram, ras = coords.ra.hms decd, decm, decs = coords.dec.dms if decd > 0: decsign = "%2B" else: decsign = "%2D" url = ( "http://ned.ipac.caltech.edu/cgi-bin/nph-calc?in_csys=Equatorial&in_equinox=J2000.0&obs_epoch=2010&lon=" + "%i" % rah + "%3A" + "%i" % ram + "%3A" + "%05.2f" % ras + "&lat=%s" % decsign + "%i" % abs(decd) + "%3A" + "%i" % abs(decm) + "%3A" + "%05.2f" % abs(decs) + "&pa=0.0&out_csys=Equatorial&out_equinox=J2000.0" ) AV = None for line in urllib.request.urlopen(url).readlines(): m = re.search(b"^Landolt V $0.54$\s+(\d+\.\d+)", line) if m: AV = float(m.group(1)) break if AV is None: raise RuntimeError("AV query fails! URL is {}".format(url)) return AV

26.240741

112

0.540579

import re from .config import on_rtd if not on_rtd: from astropy.coordinates import SkyCoord from six.moves import urllib def get_AV_infinity(ra, dec, frame="icrs"): coords = SkyCoord(ra, dec, unit="deg", frame=frame).transform_to("icrs") rah, ram, ras = coords.ra.hms decd, decm, decs = coords.dec.dms if decd > 0: decsign = "%2B" else: decsign = "%2D" url = ( "http://ned.ipac.caltech.edu/cgi-bin/nph-calc?in_csys=Equatorial&in_equinox=J2000.0&obs_epoch=2010&lon=" + "%i" % rah + "%3A" + "%i" % ram + "%3A" + "%05.2f" % ras + "&lat=%s" % decsign + "%i" % abs(decd) + "%3A" + "%i" % abs(decm) + "%3A" + "%05.2f" % abs(decs) + "&pa=0.0&out_csys=Equatorial&out_equinox=J2000.0" ) AV = None for line in urllib.request.urlopen(url).readlines(): m = re.search(b"^Landolt V $0.54$\s+(\d+\.\d+)", line) if m: AV = float(m.group(1)) break if AV is None: raise RuntimeError("AV query fails! URL is {}".format(url)) return AV

true

f7f4eaa731734a5f16108db5ffda3da7a3611b1d

235

py

Python

ThreefoldLoginPkg/utils/parse.py

threefoldtech/threefold-login-python-sdk

f9a179ff9f1d5930e1f01f86909688857b66c768

[ "Apache-2.0" ]

null

ThreefoldLoginPkg/utils/parse.py

threefoldtech/threefold-login-python-sdk

f9a179ff9f1d5930e1f01f86909688857b66c768

[ "Apache-2.0" ]

null

ThreefoldLoginPkg/utils/parse.py

threefoldtech/threefold-login-python-sdk

f9a179ff9f1d5930e1f01f86909688857b66c768

[ "Apache-2.0" ]

1

2021-09-07T23:03:52.000Z

from urllib.parse import urlparse, parse_qs import json def parse_signed_attempt_from_url(url): urlObject = urlparse(url) signedAttempt = parse_qs(urlObject.query)['signedAttempt'] return json.loads(signedAttempt[0])

18.076923

62

0.761702

from urllib.parse import urlparse, parse_qs import json def parse_signed_attempt_from_url(url): urlObject = urlparse(url) signedAttempt = parse_qs(urlObject.query)['signedAttempt'] return json.loads(signedAttempt[0])

true

f7f4eb019eb2bce03522a08513c756ff6dce7325

2,294

py

Python

tests/test_oembed_cache.py

Krankdud/speedtech

6b2581b52653e93f3f62673a0938c9331abef7c7

[ "MIT" ]

null

tests/test_oembed_cache.py

Krankdud/speedtech

6b2581b52653e93f3f62673a0938c9331abef7c7

[ "MIT" ]

2

2019-10-21T15:07:08.000Z

2021-06-01T21:51:08.000Z

tests/test_oembed_cache.py

Krankdud/speedtech

6b2581b52653e93f3f62673a0938c9331abef7c7

[ "MIT" ]

null

import shutil import tempfile import time import unittest import unittest.mock as mock from werkzeug.contrib.cache import SimpleCache, FileSystemCache from speeddb import oembed_cache from tests.constants import * class OembedCacheTestCase(unittest.TestCase): def test_init_simple_cache(self): oembed_cache.init_cache() self.assertTrue(isinstance(oembed_cache.cache, SimpleCache)) def test_init_file_cache(self): temp_dir = tempfile.mkdtemp() oembed_cache.init_cache(cache_type='file', cache_dir=temp_dir) self.assertTrue(isinstance(oembed_cache.cache, FileSystemCache)) shutil.rmtree(temp_dir) @mock.patch('speeddb.oembed_cache.PyEmbed', autospec=True) def test_get_not_in_cache(self, mock_pyembed): mock_pyembed.return_value.embed.return_value = OEMBED_MARKUP oembed_cache.init_cache() markup = oembed_cache.get(CLIP_URL_TWITTER) mock_pyembed.return_value.embed.assert_called_with(CLIP_URL_TWITTER) self.assertEqual(markup.striptags(), OEMBED_MARKUP) @mock.patch('speeddb.oembed_cache.PyEmbed', autospec=True) def test_get_in_cache(self, mock_pyembed): mock_pyembed.return_value.embed.return_value = OEMBED_MARKUP oembed_cache.init_cache() oembed_cache.get(CLIP_URL_TWITTER) mock_pyembed.return_value.embed.assert_called_with(CLIP_URL_TWITTER) mock_pyembed.return_value.embed.reset_mock() markup = oembed_cache.get(CLIP_URL_TWITTER) mock_pyembed.return_value.embed.assert_not_called() self.assertEqual(markup.striptags(), OEMBED_MARKUP) @mock.patch('speeddb.oembed_cache.PyEmbed', autospec=True) def test_get_cache_timeout(self, mock_pyembed): mock_pyembed.return_value.embed.return_value = OEMBED_MARKUP oembed_cache.init_cache(timeout=1) oembed_cache.get(CLIP_URL_TWITTER) mock_pyembed.return_value.embed.assert_called_with(CLIP_URL_TWITTER) time.sleep(2) markup = oembed_cache.get(CLIP_URL_TWITTER) mock_pyembed.return_value.embed.assert_called_with(CLIP_URL_TWITTER) self.assertEqual(markup.striptags(), OEMBED_MARKUP) if __name__ == '__main__': unittest.main()

37.606557

77

0.731473

import shutil import tempfile import time import unittest import unittest.mock as mock from werkzeug.contrib.cache import SimpleCache, FileSystemCache from speeddb import oembed_cache from tests.constants import * class OembedCacheTestCase(unittest.TestCase): def test_init_simple_cache(self): oembed_cache.init_cache() self.assertTrue(isinstance(oembed_cache.cache, SimpleCache)) def test_init_file_cache(self): temp_dir = tempfile.mkdtemp() oembed_cache.init_cache(cache_type='file', cache_dir=temp_dir) self.assertTrue(isinstance(oembed_cache.cache, FileSystemCache)) shutil.rmtree(temp_dir) @mock.patch('speeddb.oembed_cache.PyEmbed', autospec=True) def test_get_not_in_cache(self, mock_pyembed): mock_pyembed.return_value.embed.return_value = OEMBED_MARKUP oembed_cache.init_cache() markup = oembed_cache.get(CLIP_URL_TWITTER) mock_pyembed.return_value.embed.assert_called_with(CLIP_URL_TWITTER) self.assertEqual(markup.striptags(), OEMBED_MARKUP) @mock.patch('speeddb.oembed_cache.PyEmbed', autospec=True) def test_get_in_cache(self, mock_pyembed): mock_pyembed.return_value.embed.return_value = OEMBED_MARKUP oembed_cache.init_cache() oembed_cache.get(CLIP_URL_TWITTER) mock_pyembed.return_value.embed.assert_called_with(CLIP_URL_TWITTER) mock_pyembed.return_value.embed.reset_mock() markup = oembed_cache.get(CLIP_URL_TWITTER) mock_pyembed.return_value.embed.assert_not_called() self.assertEqual(markup.striptags(), OEMBED_MARKUP) @mock.patch('speeddb.oembed_cache.PyEmbed', autospec=True) def test_get_cache_timeout(self, mock_pyembed): mock_pyembed.return_value.embed.return_value = OEMBED_MARKUP oembed_cache.init_cache(timeout=1) oembed_cache.get(CLIP_URL_TWITTER) mock_pyembed.return_value.embed.assert_called_with(CLIP_URL_TWITTER) time.sleep(2) markup = oembed_cache.get(CLIP_URL_TWITTER) mock_pyembed.return_value.embed.assert_called_with(CLIP_URL_TWITTER) self.assertEqual(markup.striptags(), OEMBED_MARKUP) if __name__ == '__main__': unittest.main()

true

f7f4eb63d8aab5b7166773945c75731403ae2a92

42,065

py

Python

vn.trader/uiBasicWidget.py

yuzhucu/vnpy

c7049a4ae910b74e1ebd89bdcafc38076951cee5

[ "MIT" ]

2

2021-01-01T06:05:56.000Z

2021-03-14T09:43:14.000Z

vn.trader/uiBasicWidget.py

CraigLuo/vnpy

c7049a4ae910b74e1ebd89bdcafc38076951cee5

[ "MIT" ]

null

vn.trader/uiBasicWidget.py

CraigLuo/vnpy

c7049a4ae910b74e1ebd89bdcafc38076951cee5

[ "MIT" ]

2

2018-06-28T13:37:50.000Z

2019-09-16T13:57:20.000Z

# encoding: UTF-8 import json import csv import os from collections import OrderedDict from PyQt4 import QtGui, QtCore from eventEngine import * from vtFunction import * from vtGateway import * #---------------------------------------------------------------------- def loadFont(): """载入字体设置""" fileName = 'VT_setting.json' path = os.path.abspath(os.path.dirname(__file__)) fileName = os.path.join(path, fileName) try: f = file(fileName) setting = json.load(f) family = setting['fontFamily'] size = setting['fontSize'] font = QtGui.QFont(family, size) except: font = QtGui.QFont(u'微软雅黑', 12) return font BASIC_FONT = loadFont() ######################################################################## class BasicCell(QtGui.QTableWidgetItem): """基础的单元格""" #---------------------------------------------------------------------- def __init__(self, text=None, mainEngine=None): """Constructor""" super(BasicCell, self).__init__() self.data = None if text: self.setContent(text) #---------------------------------------------------------------------- def setContent(self, text): """设置内容""" if text == '0' or text == '0.0': self.setText('') else: self.setText(text) ######################################################################## class NumCell(QtGui.QTableWidgetItem): """用来显示数字的单元格""" #---------------------------------------------------------------------- def __init__(self, text=None, mainEngine=None): """Constructor""" super(NumCell, self).__init__() self.data = None if text: self.setContent(text) #---------------------------------------------------------------------- def setContent(self, text): """设置内容""" # 考虑到NumCell主要用来显示OrderID和TradeID之类的整数字段， # 这里的数据转化方式使用int类型。但是由于部分交易接口的委托 # 号和成交号可能不是纯数字的形式，因此补充了一个try...except try: num = int(text) self.setData(QtCore.Qt.DisplayRole, num) except ValueError: self.setText(text) ######################################################################## class DirectionCell(QtGui.QTableWidgetItem): """用来显示买卖方向的单元格""" #---------------------------------------------------------------------- def __init__(self, text=None, mainEngine=None): """Constructor""" super(DirectionCell, self).__init__() self.data = None if text: self.setContent(text) #---------------------------------------------------------------------- def setContent(self, text): """设置内容""" if text == DIRECTION_LONG or text == DIRECTION_NET: self.setForeground(QtGui.QColor('red')) elif text == DIRECTION_SHORT: self.setForeground(QtGui.QColor('green')) self.setText(text) ######################################################################## class NameCell(QtGui.QTableWidgetItem): """用来显示合约中文的单元格""" #---------------------------------------------------------------------- def __init__(self, text=None, mainEngine=None): """Constructor""" super(NameCell, self).__init__() self.mainEngine = mainEngine self.data = None if text: self.setContent(text) #---------------------------------------------------------------------- def setContent(self, text): """设置内容""" if self.mainEngine: # 首先尝试正常获取合约对象 contract = self.mainEngine.getContract(text) # 如果能读取合约信息 if contract: self.setText(contract.name) ######################################################################## class BidCell(QtGui.QTableWidgetItem): """买价单元格""" #---------------------------------------------------------------------- def __init__(self, text=None, mainEngine=None): """Constructor""" super(BidCell, self).__init__() self.data = None self.setForeground(QtGui.QColor('black')) self.setBackground(QtGui.QColor(255,174,201)) if text: self.setContent(text) #---------------------------------------------------------------------- def setContent(self, text): """设置内容""" self.setText(text) ######################################################################## class AskCell(QtGui.QTableWidgetItem): """买价单元格""" #---------------------------------------------------------------------- def __init__(self, text=None, mainEngine=None): """Constructor""" super(AskCell, self).__init__() self.data = None self.setForeground(QtGui.QColor('black')) self.setBackground(QtGui.QColor(160,255,160)) if text: self.setContent(text) #---------------------------------------------------------------------- def setContent(self, text): """设置内容""" self.setText(text) ######################################################################## class BasicMonitor(QtGui.QTableWidget): """ 基础监控 headerDict中的值对应的字典格式如下 {'chinese': u'中文名', 'cellType': BasicCell} """ signal = QtCore.pyqtSignal(type(Event())) #---------------------------------------------------------------------- def __init__(self, mainEngine=None, eventEngine=None, parent=None): """Constructor""" super(BasicMonitor, self).__init__(parent) self.mainEngine = mainEngine self.eventEngine = eventEngine # 保存表头标签用 self.headerDict = OrderedDict() # 有序字典，key是英文名，value是对应的配置字典 self.headerList = [] # 对应self.headerDict.keys() # 保存相关数据用 self.dataDict = {} # 字典，key是字段对应的数据，value是保存相关单元格的字典 self.dataKey = '' # 字典键对应的数据字段 # 监控的事件类型 self.eventType = '' # 字体 self.font = None # 保存数据对象到单元格 self.saveData = False # 默认不允许根据表头进行排序，需要的组件可以开启 self.sorting = False # 初始化右键菜单 self.initMenu() #---------------------------------------------------------------------- def setHeaderDict(self, headerDict): """设置表头有序字典""" self.headerDict = headerDict self.headerList = headerDict.keys() #---------------------------------------------------------------------- def setDataKey(self, dataKey): """设置数据字典的键""" self.dataKey = dataKey #---------------------------------------------------------------------- def setEventType(self, eventType): """设置监控的事件类型""" self.eventType = eventType #---------------------------------------------------------------------- def setFont(self, font): """设置字体""" self.font = font #---------------------------------------------------------------------- def setSaveData(self, saveData): """设置是否要保存数据到单元格""" self.saveData = saveData #---------------------------------------------------------------------- def initTable(self): """初始化表格""" # 设置表格的列数 col = len(self.headerDict) self.setColumnCount(col) # 设置列表头 labels = [d['chinese'] for d in self.headerDict.values()] self.setHorizontalHeaderLabels(labels) # 关闭左边的垂直表头 self.verticalHeader().setVisible(False) # 设为不可编辑 self.setEditTriggers(self.NoEditTriggers) # 设为行交替颜色 self.setAlternatingRowColors(True) # 设置允许排序 self.setSortingEnabled(self.sorting) #---------------------------------------------------------------------- def registerEvent(self): """注册GUI更新相关的事件监听""" self.signal.connect(self.updateEvent) self.eventEngine.register(self.eventType, self.signal.emit) #---------------------------------------------------------------------- def updateEvent(self, event): """收到事件更新""" data = event.dict_['data'] self.updateData(data) #---------------------------------------------------------------------- def updateData(self, data): """将数据更新到表格中""" # 如果允许了排序功能，则插入数据前必须关闭，否则插入新的数据会变乱 if self.sorting: self.setSortingEnabled(False) # 如果设置了dataKey，则采用存量更新模式 if self.dataKey: key = data.__getattribute__(self.dataKey) # 如果键在数据字典中不存在，则先插入新的一行，并创建对应单元格 if key not in self.dataDict: self.insertRow(0) d = {} for n, header in enumerate(self.headerList): content = safeUnicode(data.__getattribute__(header)) cellType = self.headerDict[header]['cellType'] cell = cellType(content, self.mainEngine) if self.font: cell.setFont(self.font) # 如果设置了特殊字体，则进行单元格设置 if self.saveData: # 如果设置了保存数据对象，则进行对象保存 cell.data = data self.setItem(0, n, cell) d[header] = cell self.dataDict[key] = d # 否则如果已经存在，则直接更新相关单元格 else: d = self.dataDict[key] for header in self.headerList: content = safeUnicode(data.__getattribute__(header)) cell = d[header] cell.setContent(content) if self.saveData: # 如果设置了保存数据对象，则进行对象保存 cell.data = data # 否则采用增量更新模式 else: self.insertRow(0) for n, header in enumerate(self.headerList): content = safeUnicode(data.__getattribute__(header)) cellType = self.headerDict[header]['cellType'] cell = cellType(content, self.mainEngine) if self.font: cell.setFont(self.font) if self.saveData: cell.data = data self.setItem(0, n, cell) # 调整列宽 self.resizeColumns() # 重新打开排序 if self.sorting: self.setSortingEnabled(True) #---------------------------------------------------------------------- def resizeColumns(self): """调整各列的大小""" self.horizontalHeader().resizeSections(QtGui.QHeaderView.ResizeToContents) #---------------------------------------------------------------------- def setSorting(self, sorting): """设置是否允许根据表头排序""" self.sorting = sorting #---------------------------------------------------------------------- def saveToCsv(self): """保存表格内容到CSV文件""" # 先隐藏右键菜单 self.menu.close() # 获取想要保存的文件名 path = QtGui.QFileDialog.getSaveFileName(self, '保存数据', '', 'CSV(*.csv)') try: if not path.isEmpty(): with open(unicode(path), 'wb') as f: writer = csv.writer(f) # 保存标签 headers = [header.encode('gbk') for header in self.headerList] writer.writerow(headers) # 保存每行内容 for row in range(self.rowCount()): rowdata = [] for column in range(self.columnCount()): item = self.item(row, column) if item is not None: rowdata.append( unicode(item.text()).encode('gbk')) else: rowdata.append('') writer.writerow(rowdata) except IOError: pass #---------------------------------------------------------------------- def initMenu(self): """初始化右键菜单""" self.menu = QtGui.QMenu(self) saveAction = QtGui.QAction(u'保存内容', self) saveAction.triggered.connect(self.saveToCsv) self.menu.addAction(saveAction) #---------------------------------------------------------------------- def contextMenuEvent(self, event): """右键点击事件""" self.menu.popup(QtGui.QCursor.pos()) ######################################################################## class MarketMonitor(BasicMonitor): """市场监控组件""" #---------------------------------------------------------------------- def __init__(self, mainEngine, eventEngine, parent=None): """Constructor""" super(MarketMonitor, self).__init__(mainEngine, eventEngine, parent) # 设置表头有序字典 d = OrderedDict() d['symbol'] = {'chinese':u'合约代码', 'cellType':BasicCell} d['vtSymbol'] = {'chinese':u'名称', 'cellType':NameCell} d['lastPrice'] = {'chinese':u'最新价', 'cellType':BasicCell} d['preClosePrice'] = {'chinese':u'昨收盘价', 'cellType':BasicCell} d['volume'] = {'chinese':u'成交量', 'cellType':BasicCell} d['openInterest'] = {'chinese':u'持仓量', 'cellType':BasicCell} d['openPrice'] = {'chinese':u'开盘价', 'cellType':BasicCell} d['highPrice'] = {'chinese':u'最高价', 'cellType':BasicCell} d['lowPrice'] = {'chinese':u'最低价', 'cellType':BasicCell} d['bidPrice1'] = {'chinese':u'买一价', 'cellType':BidCell} d['bidVolume1'] = {'chinese':u'买一量', 'cellType':BidCell} d['askPrice1'] = {'chinese':u'卖一价', 'cellType':AskCell} d['askVolume1'] = {'chinese':u'卖一量', 'cellType':AskCell} d['time'] = {'chinese':u'时间', 'cellType':BasicCell} d['gatewayName'] = {'chinese':u'接口', 'cellType':BasicCell} self.setHeaderDict(d) # 设置数据键 self.setDataKey('vtSymbol') # 设置监控事件类型 self.setEventType(EVENT_TICK) # 设置字体 self.setFont(BASIC_FONT) # 设置允许排序 self.setSorting(True) # 初始化表格 self.initTable() # 注册事件监听 self.registerEvent() ######################################################################## class LogMonitor(BasicMonitor): """日志监控""" #---------------------------------------------------------------------- def __init__(self, mainEngine, eventEngine, parent=None): """Constructor""" super(LogMonitor, self).__init__(mainEngine, eventEngine, parent) d = OrderedDict() d['logTime'] = {'chinese':u'时间', 'cellType':BasicCell} d['logContent'] = {'chinese':u'内容', 'cellType':BasicCell} d['gatewayName'] = {'chinese':u'接口', 'cellType':BasicCell} self.setHeaderDict(d) self.setEventType(EVENT_LOG) self.setFont(BASIC_FONT) self.initTable() self.registerEvent() ######################################################################## class ErrorMonitor(BasicMonitor): """错误监控""" #---------------------------------------------------------------------- def __init__(self, mainEngine, eventEngine, parent=None): """Constructor""" super(ErrorMonitor, self).__init__(mainEngine, eventEngine, parent) d = OrderedDict() d['errorTime'] = {'chinese':u'错误时间', 'cellType':BasicCell} d['errorID'] = {'chinese':u'错误代码', 'cellType':BasicCell} d['errorMsg'] = {'chinese':u'错误信息', 'cellType':BasicCell} d['gatewayName'] = {'chinese':u'接口', 'cellType':BasicCell} self.setHeaderDict(d) self.setEventType(EVENT_ERROR) self.setFont(BASIC_FONT) self.initTable() self.registerEvent() ######################################################################## class TradeMonitor(BasicMonitor): """成交监控""" #---------------------------------------------------------------------- def __init__(self, mainEngine, eventEngine, parent=None): """Constructor""" super(TradeMonitor, self).__init__(mainEngine, eventEngine, parent) d = OrderedDict() d['tradeID'] = {'chinese':u'成交编号', 'cellType':NumCell} d['orderID'] = {'chinese':u'委托编号', 'cellType':NumCell} d['symbol'] = {'chinese':u'合约代码', 'cellType':BasicCell} d['vtSymbol'] = {'chinese':u'名称', 'cellType':NameCell} d['direction'] = {'chinese':u'方向', 'cellType':DirectionCell} d['offset'] = {'chinese':u'开平', 'cellType':BasicCell} d['price'] = {'chinese':u'价格', 'cellType':BasicCell} d['volume'] = {'chinese':u'数量', 'cellType':BasicCell} d['tradeTime'] = {'chinese':u'成交时间', 'cellType':BasicCell} d['gatewayName'] = {'chinese':u'接口', 'cellType':BasicCell} self.setHeaderDict(d) self.setEventType(EVENT_TRADE) self.setFont(BASIC_FONT) self.setSorting(True) self.initTable() self.registerEvent() ######################################################################## class OrderMonitor(BasicMonitor): """委托监控""" #---------------------------------------------------------------------- def __init__(self, mainEngine, eventEngine, parent=None): """Constructor""" super(OrderMonitor, self).__init__(mainEngine, eventEngine, parent) self.mainEngine = mainEngine d = OrderedDict() d['orderID'] = {'chinese':u'委托编号', 'cellType':NumCell} d['symbol'] = {'chinese':u'合约代码', 'cellType':BasicCell} d['vtSymbol'] = {'chinese':u'名称', 'cellType':NameCell} d['direction'] = {'chinese':u'方向', 'cellType':DirectionCell} d['offset'] = {'chinese':u'开平', 'cellType':BasicCell} d['price'] = {'chinese':u'价格', 'cellType':BasicCell} d['totalVolume'] = {'chinese':u'委托数量', 'cellType':BasicCell} d['tradedVolume'] = {'chinese':u'成交数量', 'cellType':BasicCell} d['status'] = {'chinese':u'状态', 'cellType':BasicCell} d['orderTime'] = {'chinese':u'委托时间', 'cellType':BasicCell} d['cancelTime'] = {'chinese':u'撤销时间', 'cellType':BasicCell} d['frontID'] = {'chinese':u'前置编号', 'cellType':BasicCell} d['sessionID'] = {'chinese':u'会话编号', 'cellType':BasicCell} d['gatewayName'] = {'chinese':u'接口', 'cellType':BasicCell} self.setHeaderDict(d) self.setDataKey('vtOrderID') self.setEventType(EVENT_ORDER) self.setFont(BASIC_FONT) self.setSaveData(True) self.setSorting(True) self.initTable() self.registerEvent() self.connectSignal() #---------------------------------------------------------------------- def connectSignal(self): """连接信号""" # 双击单元格撤单 self.itemDoubleClicked.connect(self.cancelOrder) #---------------------------------------------------------------------- def cancelOrder(self, cell): """根据单元格的数据撤单""" order = cell.data req = VtCancelOrderReq() req.symbol = order.symbol req.exchange = order.exchange req.frontID = order.frontID req.sessionID = order.sessionID req.orderID = order.orderID self.mainEngine.cancelOrder(req, order.gatewayName) ######################################################################## class PositionMonitor(BasicMonitor): """持仓监控""" #---------------------------------------------------------------------- def __init__(self, mainEngine, eventEngine, parent=None): """Constructor""" super(PositionMonitor, self).__init__(mainEngine, eventEngine, parent) d = OrderedDict() d['symbol'] = {'chinese':u'合约代码', 'cellType':BasicCell} d['vtSymbol'] = {'chinese':u'名称', 'cellType':NameCell} d['direction'] = {'chinese':u'方向', 'cellType':DirectionCell} d['position'] = {'chinese':u'持仓量', 'cellType':BasicCell} d['ydPosition'] = {'chinese':u'昨持仓', 'cellType':BasicCell} d['frozen'] = {'chinese':u'冻结量', 'cellType':BasicCell} d['price'] = {'chinese':u'价格', 'cellType':BasicCell} d['positionProfit'] = {'chinese':u'持仓盈亏', 'cellType':BasicCell} d['gatewayName'] = {'chinese':u'接口', 'cellType':BasicCell} self.setHeaderDict(d) self.setDataKey('vtPositionName') self.setEventType(EVENT_POSITION) self.setFont(BASIC_FONT) self.setSaveData(True) self.initTable() self.registerEvent() ######################################################################## class AccountMonitor(BasicMonitor): """账户监控""" #---------------------------------------------------------------------- def __init__(self, mainEngine, eventEngine, parent=None): """Constructor""" super(AccountMonitor, self).__init__(mainEngine, eventEngine, parent) d = OrderedDict() d['accountID'] = {'chinese':u'账户', 'cellType':BasicCell} d['preBalance'] = {'chinese':u'昨结', 'cellType':BasicCell} d['balance'] = {'chinese':u'净值', 'cellType':BasicCell} d['available'] = {'chinese':u'可用', 'cellType':BasicCell} d['commission'] = {'chinese':u'手续费', 'cellType':BasicCell} d['margin'] = {'chinese':u'保证金', 'cellType':BasicCell} d['closeProfit'] = {'chinese':u'平仓盈亏', 'cellType':BasicCell} d['positionProfit'] = {'chinese':u'持仓盈亏', 'cellType':BasicCell} d['gatewayName'] = {'chinese':u'接口', 'cellType':BasicCell} self.setHeaderDict(d) self.setDataKey('vtAccountID') self.setEventType(EVENT_ACCOUNT) self.setFont(BASIC_FONT) self.initTable() self.registerEvent() ######################################################################## class TradingWidget(QtGui.QFrame): """简单交易组件""" signal = QtCore.pyqtSignal(type(Event())) directionList = [DIRECTION_LONG, DIRECTION_SHORT] offsetList = [OFFSET_OPEN, OFFSET_CLOSE, OFFSET_CLOSEYESTERDAY, OFFSET_CLOSETODAY] priceTypeList = [PRICETYPE_LIMITPRICE, PRICETYPE_MARKETPRICE, PRICETYPE_FAK, PRICETYPE_FOK] exchangeList = [EXCHANGE_NONE, EXCHANGE_CFFEX, EXCHANGE_SHFE, EXCHANGE_DCE, EXCHANGE_CZCE, EXCHANGE_SSE, EXCHANGE_SZSE, EXCHANGE_SGE, EXCHANGE_HKEX, EXCHANGE_HKFE, EXCHANGE_SMART, EXCHANGE_ICE, EXCHANGE_CME, EXCHANGE_NYMEX, EXCHANGE_GLOBEX, EXCHANGE_IDEALPRO] currencyList = [CURRENCY_NONE, CURRENCY_CNY, CURRENCY_HKD, CURRENCY_USD] productClassList = [PRODUCT_NONE, PRODUCT_EQUITY, PRODUCT_FUTURES, PRODUCT_OPTION, PRODUCT_FOREX] gatewayList = [''] #---------------------------------------------------------------------- def __init__(self, mainEngine, eventEngine, parent=None): """Constructor""" super(TradingWidget, self).__init__(parent) self.mainEngine = mainEngine self.eventEngine = eventEngine self.symbol = '' # 添加交易接口 self.gatewayList.extend(mainEngine.getAllGatewayNames()) self.initUi() self.connectSignal() #---------------------------------------------------------------------- def initUi(self): """初始化界面""" self.setWindowTitle(u'交易') self.setMaximumWidth(400) self.setFrameShape(self.Box) # 设置边框 self.setLineWidth(1) # 左边部分 labelSymbol = QtGui.QLabel(u'代码') labelName = QtGui.QLabel(u'名称') labelDirection = QtGui.QLabel(u'方向类型') labelOffset = QtGui.QLabel(u'开平') labelPrice = QtGui.QLabel(u'价格') self.checkFixed = QtGui.QCheckBox(u'') # 价格固定选择框 labelVolume = QtGui.QLabel(u'数量') labelPriceType = QtGui.QLabel(u'价格类型') labelExchange = QtGui.QLabel(u'交易所') labelCurrency = QtGui.QLabel(u'货币') labelProductClass = QtGui.QLabel(u'产品类型') labelGateway = QtGui.QLabel(u'交易接口') self.lineSymbol = QtGui.QLineEdit() self.lineName = QtGui.QLineEdit() self.comboDirection = QtGui.QComboBox() self.comboDirection.addItems(self.directionList) self.comboOffset = QtGui.QComboBox() self.comboOffset.addItems(self.offsetList) self.spinPrice = QtGui.QDoubleSpinBox() self.spinPrice.setDecimals(4) self.spinPrice.setMinimum(0) self.spinPrice.setMaximum(100000) self.spinVolume = QtGui.QSpinBox() self.spinVolume.setMinimum(0) self.spinVolume.setMaximum(1000000) self.comboPriceType = QtGui.QComboBox() self.comboPriceType.addItems(self.priceTypeList) self.comboExchange = QtGui.QComboBox() self.comboExchange.addItems(self.exchangeList) self.comboCurrency = QtGui.QComboBox() self.comboCurrency.addItems(self.currencyList) self.comboProductClass = QtGui.QComboBox() self.comboProductClass.addItems(self.productClassList) self.comboGateway = QtGui.QComboBox() self.comboGateway.addItems(self.gatewayList) gridleft = QtGui.QGridLayout() gridleft.addWidget(labelSymbol, 0, 0) gridleft.addWidget(labelName, 1, 0) gridleft.addWidget(labelDirection, 2, 0) gridleft.addWidget(labelOffset, 3, 0) gridleft.addWidget(labelPrice, 4, 0) gridleft.addWidget(labelVolume, 5, 0) gridleft.addWidget(labelPriceType, 6, 0) gridleft.addWidget(labelExchange, 7, 0) gridleft.addWidget(labelCurrency, 8, 0) gridleft.addWidget(labelProductClass, 9, 0) gridleft.addWidget(labelGateway, 10, 0) gridleft.addWidget(self.lineSymbol, 0, 1, 1, -1) gridleft.addWidget(self.lineName, 1, 1, 1, -1) gridleft.addWidget(self.comboDirection, 2, 1, 1, -1) gridleft.addWidget(self.comboOffset, 3, 1, 1, -1) gridleft.addWidget(self.checkFixed, 4, 1) gridleft.addWidget(self.spinPrice, 4, 2) gridleft.addWidget(self.spinVolume, 5, 1, 1, -1) gridleft.addWidget(self.comboPriceType, 6, 1, 1, -1) gridleft.addWidget(self.comboExchange, 7, 1, 1, -1) gridleft.addWidget(self.comboCurrency, 8, 1, 1, -1) gridleft.addWidget(self.comboProductClass, 9, 1, 1, -1) gridleft.addWidget(self.comboGateway, 10, 1, 1, -1) # 右边部分 labelBid1 = QtGui.QLabel(u'买一') labelBid2 = QtGui.QLabel(u'买二') labelBid3 = QtGui.QLabel(u'买三') labelBid4 = QtGui.QLabel(u'买四') labelBid5 = QtGui.QLabel(u'买五') labelAsk1 = QtGui.QLabel(u'卖一') labelAsk2 = QtGui.QLabel(u'卖二') labelAsk3 = QtGui.QLabel(u'卖三') labelAsk4 = QtGui.QLabel(u'卖四') labelAsk5 = QtGui.QLabel(u'卖五') self.labelBidPrice1 = QtGui.QLabel() self.labelBidPrice2 = QtGui.QLabel() self.labelBidPrice3 = QtGui.QLabel() self.labelBidPrice4 = QtGui.QLabel() self.labelBidPrice5 = QtGui.QLabel() self.labelBidVolume1 = QtGui.QLabel() self.labelBidVolume2 = QtGui.QLabel() self.labelBidVolume3 = QtGui.QLabel() self.labelBidVolume4 = QtGui.QLabel() self.labelBidVolume5 = QtGui.QLabel() self.labelAskPrice1 = QtGui.QLabel() self.labelAskPrice2 = QtGui.QLabel() self.labelAskPrice3 = QtGui.QLabel() self.labelAskPrice4 = QtGui.QLabel() self.labelAskPrice5 = QtGui.QLabel() self.labelAskVolume1 = QtGui.QLabel() self.labelAskVolume2 = QtGui.QLabel() self.labelAskVolume3 = QtGui.QLabel() self.labelAskVolume4 = QtGui.QLabel() self.labelAskVolume5 = QtGui.QLabel() labelLast = QtGui.QLabel(u'最新') self.labelLastPrice = QtGui.QLabel() self.labelReturn = QtGui.QLabel() self.labelLastPrice.setMinimumWidth(60) self.labelReturn.setMinimumWidth(60) gridRight = QtGui.QGridLayout() gridRight.addWidget(labelAsk5, 0, 0) gridRight.addWidget(labelAsk4, 1, 0) gridRight.addWidget(labelAsk3, 2, 0) gridRight.addWidget(labelAsk2, 3, 0) gridRight.addWidget(labelAsk1, 4, 0) gridRight.addWidget(labelLast, 5, 0) gridRight.addWidget(labelBid1, 6, 0) gridRight.addWidget(labelBid2, 7, 0) gridRight.addWidget(labelBid3, 8, 0) gridRight.addWidget(labelBid4, 9, 0) gridRight.addWidget(labelBid5, 10, 0) gridRight.addWidget(self.labelAskPrice5, 0, 1) gridRight.addWidget(self.labelAskPrice4, 1, 1) gridRight.addWidget(self.labelAskPrice3, 2, 1) gridRight.addWidget(self.labelAskPrice2, 3, 1) gridRight.addWidget(self.labelAskPrice1, 4, 1) gridRight.addWidget(self.labelLastPrice, 5, 1) gridRight.addWidget(self.labelBidPrice1, 6, 1) gridRight.addWidget(self.labelBidPrice2, 7, 1) gridRight.addWidget(self.labelBidPrice3, 8, 1) gridRight.addWidget(self.labelBidPrice4, 9, 1) gridRight.addWidget(self.labelBidPrice5, 10, 1) gridRight.addWidget(self.labelAskVolume5, 0, 2) gridRight.addWidget(self.labelAskVolume4, 1, 2) gridRight.addWidget(self.labelAskVolume3, 2, 2) gridRight.addWidget(self.labelAskVolume2, 3, 2) gridRight.addWidget(self.labelAskVolume1, 4, 2) gridRight.addWidget(self.labelReturn, 5, 2) gridRight.addWidget(self.labelBidVolume1, 6, 2) gridRight.addWidget(self.labelBidVolume2, 7, 2) gridRight.addWidget(self.labelBidVolume3, 8, 2) gridRight.addWidget(self.labelBidVolume4, 9, 2) gridRight.addWidget(self.labelBidVolume5, 10, 2) # 发单按钮 buttonSendOrder = QtGui.QPushButton(u'发单') buttonCancelAll = QtGui.QPushButton(u'全撤') size = buttonSendOrder.sizeHint() buttonSendOrder.setMinimumHeight(size.height()*2) # 把按钮高度设为默认两倍 buttonCancelAll.setMinimumHeight(size.height()*2) # 整合布局 hbox = QtGui.QHBoxLayout() hbox.addLayout(gridleft) hbox.addLayout(gridRight) vbox = QtGui.QVBoxLayout() vbox.addLayout(hbox) vbox.addWidget(buttonSendOrder) vbox.addWidget(buttonCancelAll) vbox.addStretch() self.setLayout(vbox) # 关联更新 buttonSendOrder.clicked.connect(self.sendOrder) buttonCancelAll.clicked.connect(self.cancelAll) self.lineSymbol.returnPressed.connect(self.updateSymbol) #---------------------------------------------------------------------- def updateSymbol(self): """合约变化""" # 读取组件数据 symbol = str(self.lineSymbol.text()) exchange = unicode(self.comboExchange.currentText()) currency = unicode(self.comboCurrency.currentText()) productClass = unicode(self.comboProductClass.currentText()) gatewayName = unicode(self.comboGateway.currentText()) # 查询合约 if exchange: vtSymbol = '.'.join([symbol, exchange]) contract = self.mainEngine.getContract(vtSymbol) else: vtSymbol = symbol contract = self.mainEngine.getContract(symbol) if contract: vtSymbol = contract.vtSymbol gatewayName = contract.gatewayName self.lineName.setText(contract.name) exchange = contract.exchange # 保证有交易所代码 # 清空价格数量 self.spinPrice.setValue(0) self.spinVolume.setValue(0) # 清空行情显示 self.labelBidPrice1.setText('') self.labelBidPrice2.setText('') self.labelBidPrice3.setText('') self.labelBidPrice4.setText('') self.labelBidPrice5.setText('') self.labelBidVolume1.setText('') self.labelBidVolume2.setText('') self.labelBidVolume3.setText('') self.labelBidVolume4.setText('') self.labelBidVolume5.setText('') self.labelAskPrice1.setText('') self.labelAskPrice2.setText('') self.labelAskPrice3.setText('') self.labelAskPrice4.setText('') self.labelAskPrice5.setText('') self.labelAskVolume1.setText('') self.labelAskVolume2.setText('') self.labelAskVolume3.setText('') self.labelAskVolume4.setText('') self.labelAskVolume5.setText('') self.labelLastPrice.setText('') self.labelReturn.setText('') # 重新注册事件监听 self.eventEngine.unregister(EVENT_TICK + self.symbol, self.signal.emit) self.eventEngine.register(EVENT_TICK + vtSymbol, self.signal.emit) # 订阅合约 req = VtSubscribeReq() req.symbol = symbol req.exchange = exchange req.currency = currency req.productClass = productClass # 默认跟随价 self.checkFixed.setChecked(False) self.mainEngine.subscribe(req, gatewayName) # 更新组件当前交易的合约 self.symbol = vtSymbol #---------------------------------------------------------------------- def updateTick(self, event): """更新行情""" tick = event.dict_['data'] if tick.vtSymbol == self.symbol: if not self.checkFixed.isChecked(): self.spinPrice.setValue(tick.lastPrice) self.labelBidPrice1.setText(str(tick.bidPrice1)) self.labelAskPrice1.setText(str(tick.askPrice1)) self.labelBidVolume1.setText(str(tick.bidVolume1)) self.labelAskVolume1.setText(str(tick.askVolume1)) if tick.bidPrice2: self.labelBidPrice2.setText(str(tick.bidPrice2)) self.labelBidPrice3.setText(str(tick.bidPrice3)) self.labelBidPrice4.setText(str(tick.bidPrice4)) self.labelBidPrice5.setText(str(tick.bidPrice5)) self.labelAskPrice2.setText(str(tick.askPrice2)) self.labelAskPrice3.setText(str(tick.askPrice3)) self.labelAskPrice4.setText(str(tick.askPrice4)) self.labelAskPrice5.setText(str(tick.askPrice5)) self.labelBidVolume2.setText(str(tick.bidVolume2)) self.labelBidVolume3.setText(str(tick.bidVolume3)) self.labelBidVolume4.setText(str(tick.bidVolume4)) self.labelBidVolume5.setText(str(tick.bidVolume5)) self.labelAskVolume2.setText(str(tick.askVolume2)) self.labelAskVolume3.setText(str(tick.askVolume3)) self.labelAskVolume4.setText(str(tick.askVolume4)) self.labelAskVolume5.setText(str(tick.askVolume5)) self.labelLastPrice.setText(str(tick.lastPrice)) if tick.preClosePrice: rt = (tick.lastPrice/tick.preClosePrice)-1 self.labelReturn.setText(('%.2f' %(rt*100))+'%') else: self.labelReturn.setText('') #---------------------------------------------------------------------- def connectSignal(self): """连接Signal""" self.signal.connect(self.updateTick) #---------------------------------------------------------------------- def sendOrder(self): """发单""" symbol = str(self.lineSymbol.text()) exchange = unicode(self.comboExchange.currentText()) currency = unicode(self.comboCurrency.currentText()) productClass = unicode(self.comboProductClass.currentText()) gatewayName = unicode(self.comboGateway.currentText()) # 查询合约 if exchange: vtSymbol = '.'.join([symbol, exchange]) contract = self.mainEngine.getContract(vtSymbol) else: vtSymbol = symbol contract = self.mainEngine.getContract(symbol) if contract: gatewayName = contract.gatewayName exchange = contract.exchange # 保证有交易所代码 req = VtOrderReq() req.symbol = symbol req.exchange = exchange req.price = self.spinPrice.value() req.volume = self.spinVolume.value() req.direction = unicode(self.comboDirection.currentText()) req.priceType = unicode(self.comboPriceType.currentText()) req.offset = unicode(self.comboOffset.currentText()) req.currency = currency req.productClass = productClass self.mainEngine.sendOrder(req, gatewayName) #---------------------------------------------------------------------- def cancelAll(self): """一键撤销所有委托""" l = self.mainEngine.getAllWorkingOrders() for order in l: req = VtCancelOrderReq() req.symbol = order.symbol req.exchange = order.exchange req.frontID = order.frontID req.sessionID = order.sessionID req.orderID = order.orderID self.mainEngine.cancelOrder(req, order.gatewayName) #---------------------------------------------------------------------- def closePosition(self, cell): """根据持仓信息自动填写交易组件""" # 读取持仓数据，cell是一个表格中的单元格对象 pos = cell.data symbol = pos.symbol # 更新交易组件的显示合约 self.lineSymbol.setText(symbol) self.updateSymbol() # 自动填写信息 self.comboPriceType.setCurrentIndex(self.priceTypeList.index(PRICETYPE_LIMITPRICE)) self.comboOffset.setCurrentIndex(self.offsetList.index(OFFSET_CLOSE)) self.spinVolume.setValue(pos.position) if pos.direction == DIRECTION_LONG or pos.direction == DIRECTION_NET: self.comboDirection.setCurrentIndex(self.directionList.index(DIRECTION_SHORT)) else: self.comboDirection.setCurrentIndex(self.directionList.index(DIRECTION_LONG)) # 价格留待更新后由用户输入，防止有误操作 ######################################################################## class ContractMonitor(BasicMonitor): """合约查询""" #---------------------------------------------------------------------- def __init__(self, mainEngine, parent=None): """Constructor""" super(ContractMonitor, self).__init__(parent=parent) self.mainEngine = mainEngine d = OrderedDict() d['symbol'] = {'chinese':u'合约代码', 'cellType':BasicCell} d['exchange'] = {'chinese':u'交易所', 'cellType':BasicCell} d['vtSymbol'] = {'chinese':u'vt系统代码', 'cellType':BasicCell} d['name'] = {'chinese':u'名称', 'cellType':BasicCell} d['productClass'] = {'chinese':u'合约类型', 'cellType':BasicCell} d['size'] = {'chinese':u'大小', 'cellType':BasicCell} d['priceTick'] = {'chinese':u'最小价格变动', 'cellType':BasicCell} #d['strikePrice'] = {'chinese':u'期权行权价', 'cellType':BasicCell} #d['underlyingSymbol'] = {'chinese':u'期权标的物', 'cellType':BasicCell} #d['optionType'] = {'chinese':u'期权类型', 'cellType':BasicCell} self.setHeaderDict(d) self.initUi() #---------------------------------------------------------------------- def initUi(self): """初始化界面""" self.setWindowTitle(u'合约查询') self.setMinimumSize(800, 800) self.setFont(BASIC_FONT) self.initTable() self.addMenuAction() #---------------------------------------------------------------------- def showAllContracts(self): """显示所有合约数据""" l = self.mainEngine.getAllContracts() d = {'.'.join([contract.exchange, contract.symbol]):contract for contract in l} l2 = d.keys() l2.sort(reverse=True) self.setRowCount(len(l2)) row = 0 for key in l2: contract = d[key] for n, header in enumerate(self.headerList): content = safeUnicode(contract.__getattribute__(header)) cellType = self.headerDict[header]['cellType'] cell = cellType(content) if self.font: cell.setFont(self.font) # 如果设置了特殊字体，则进行单元格设置 self.setItem(row, n, cell) row = row + 1 #---------------------------------------------------------------------- def refresh(self): """刷新""" self.menu.close() # 关闭菜单 self.clearContents() self.setRowCount(0) self.showAllContracts() #---------------------------------------------------------------------- def addMenuAction(self): """增加右键菜单内容""" refreshAction = QtGui.QAction(u'刷新', self) refreshAction.triggered.connect(self.refresh) self.menu.addAction(refreshAction) #---------------------------------------------------------------------- def show(self): """显示""" super(ContractMonitor, self).show() self.refresh()

36.483088

91

0.501961

import json import csv import os from collections import OrderedDict from PyQt4 import QtGui, QtCore from eventEngine import * from vtFunction import * from vtGateway import * def loadFont(): fileName = 'VT_setting.json' path = os.path.abspath(os.path.dirname(__file__)) fileName = os.path.join(path, fileName) try: f = file(fileName) setting = json.load(f) family = setting['fontFamily'] size = setting['fontSize'] font = QtGui.QFont(family, size) except: font = QtGui.QFont(u'微软雅黑', 12) return font BASIC_FONT = loadFont()

true

f7f4eb9ecb6b9d5fa5c5268d10294a74d06faa43

4,966

py

Python

questions/q347_thesaurus/code.py

aadhityasw/Competitive-Programs

901a48d35f024a3a87c32a45b7f4531e8004a203

[ "MIT" ]

null

questions/q347_thesaurus/code.py

aadhityasw/Competitive-Programs

901a48d35f024a3a87c32a45b7f4531e8004a203

[ "MIT" ]

1

2021-05-15T07:56:51.000Z

questions/q347_thesaurus/code.py

aadhityasw/Competitive-Programs

901a48d35f024a3a87c32a45b7f4531e8004a203

[ "MIT" ]

null

def populateCounts(end) : """ Given the maximum number through which the table needs to be populated, we form the table. Parameters ---------- end - the extent of continuous missing letters in string (or the length of the table needed) Return ------ table - with i'th index pointing to the number of possible combinations possible for 'i' missing letters """ # Initialize a table # Element at index i : (edge_same[i], edge_different[i]) table = [(None, None), (25, 24)] # Populate the table till the given number for i in range(2, end + 1) : table.append(( (25 * table[i-1][1]), ((24 * table[i-1][1]) + (1 * table[i-1][0])) )) # Return the populated table return table def getMissingConfiguration(s) : """ Given a string, returns all the counts of concecutive missing values in the string, in the form of array. We also include another value indicating if the edges are same or different """ # Initialize variables for computing and storing the values missing_counts = [] n = len(s) # Iterate through the loop and find all the missing letter configurations i = 1 while i < n-1 : if s[i] == '?' : c = 0 left_edge = s[i-1] while i < n-1 and s[i] == '?' : c += 1 i += 1 right_edge = s[i] missing_counts.append(( c, (True if left_edge == right_edge else False) )) else : i += 1 # Return the missing congiguration return missing_counts def solveInterrior(s) : """ Given a string with defined edge characters, we find the number of possible ways in which we can fill the blanks. Assumption : First and last characters are filled Parameters ---------- s - the string with defined edge letters Return ------ count - the total number of possible ways to fill the blanks for this edge defined string """ # Get the missing letters configuration from processing the string missing_count_configuration = getMissingConfiguration(s) # Initialize a variable for storing the overall count total_count = 1 if len(missing_count_configuration) > 0 : # Find the maximum number of concecutive missing characters max_missing_count = max(missing_count_configuration, key=lambda x : x[0])[0] # Fill the DP table table = populateCounts(max_missing_count) # Compute for every missing configuration for (num_missing, same_edge) in missing_count_configuration : if same_edge : total_count *= table[num_missing][0] else : total_count *= table[num_missing][1] return total_count def solve(s) : """ Given a string with blanks, returns the number of possible ways to fill the blanks with some conditions Parameter --------- s - the string Return ------ total_count - the total number of possible ways to fill the blanks """ if len(s) == 0 : return 0 if len(s) == 1 : if s == '?' : return 26 return 1 # Check for repeated characters n = len(s) for i in range(1, n) : if (s[i] != '?') and (s[i-1] != '?') and (s[i] == s[i-1]) : return 0 # First and last characters filled if (s[0] != '?') and (s[-1] != '?') : # If first and last characters are not equal if (s[0] != s[-1]) : return 0 # If first and last characters are equal return solveInterrior(s) # If only first character is filled if s[0] != '?' : # Copy the first character to the last s = s[:-1] + s[0] return solveInterrior(s) # If only the last character is filled if s[-1] != '?' : # Copy the last character to the first s = s[-1] + s[1:] return solveInterrior(s) # If both first and last characters are missing # If the string is just two characters long, and both are missing if s == '??' : return 0 # Add the 2nd and the 2nd last characters if they are empty # The edge letters cannot be equal to these avoid_sets = set() if s[1] != '?' : avoid_sets.add(s[1]) if s[-2] != '?' : avoid_sets.add(s[-2]) # Variable to store the overall count total_count = 0 # For every other letter possible, find the count for i in range(97, 123) : ch = ord(i) if ch not in avoid_sets : total_count += solveInterrior(ch + s[1:-1] + ch) # Return the total count return total_count print(solve("abcd")) print(solve("abc?")) print(solve("a?za")) print(solve("abca")) print(solve("a??ba")) print(solve("a???c?b?")) print(solve("a????cb?")) print(solve("a???c??b?"))

27.436464

117

0.575513

def populateCounts(end) : table = [(None, None), (25, 24)] for i in range(2, end + 1) : table.append(( (25 * table[i-1][1]), ((24 * table[i-1][1]) + (1 * table[i-1][0])) )) return table def getMissingConfiguration(s) : missing_counts = [] n = len(s) i = 1 while i < n-1 : if s[i] == '?' : c = 0 left_edge = s[i-1] while i < n-1 and s[i] == '?' : c += 1 i += 1 right_edge = s[i] missing_counts.append(( c, (True if left_edge == right_edge else False) )) else : i += 1 return missing_counts def solveInterrior(s) : missing_count_configuration = getMissingConfiguration(s) total_count = 1 if len(missing_count_configuration) > 0 : max_missing_count = max(missing_count_configuration, key=lambda x : x[0])[0] table = populateCounts(max_missing_count) for (num_missing, same_edge) in missing_count_configuration : if same_edge : total_count *= table[num_missing][0] else : total_count *= table[num_missing][1] return total_count def solve(s) : if len(s) == 0 : return 0 if len(s) == 1 : if s == '?' : return 26 return 1 n = len(s) for i in range(1, n) : if (s[i] != '?') and (s[i-1] != '?') and (s[i] == s[i-1]) : return 0 if (s[0] != '?') and (s[-1] != '?') : if (s[0] != s[-1]) : return 0 return solveInterrior(s) if s[0] != '?' : s = s[:-1] + s[0] return solveInterrior(s) if s[-1] != '?' : s = s[-1] + s[1:] return solveInterrior(s) if s == '??' : return 0 avoid_sets = set() if s[1] != '?' : avoid_sets.add(s[1]) if s[-2] != '?' : avoid_sets.add(s[-2]) total_count = 0 for i in range(97, 123) : ch = ord(i) if ch not in avoid_sets : total_count += solveInterrior(ch + s[1:-1] + ch) return total_count print(solve("abcd")) print(solve("abc?")) print(solve("a?za")) print(solve("abca")) print(solve("a??ba")) print(solve("a???c?b?")) print(solve("a????cb?")) print(solve("a???c??b?"))

true

f7f4ebc73c4bf003f26189a1ff7c80c24f3d7202

9,049

py

Python

tests/test_engine_base_matrix.py

Nachtfeuer/engine

c7d86877b84f648b229c8c958078b899ad9eeeaf

[ "MIT" ]

null

tests/test_engine_base_matrix.py

Nachtfeuer/engine

c7d86877b84f648b229c8c958078b899ad9eeeaf

[ "MIT" ]

6

2020-01-11T10:50:48.000Z

2020-01-30T06:41:38.000Z

tests/test_engine_base_matrix.py

Nachtfeuer/engine

c7d86877b84f648b229c8c958078b899ad9eeeaf

[ "MIT" ]

null

"""Testing of class Matrix.""" # pylint: disable=no-self-use import math from unittest import TestCase from hamcrest import assert_that, equal_to, calling, raises, less_than_or_equal_to from engine.base.matrix import Matrix from engine.threed.vector import Vector from engine.tools.options import Options from engine.tools.conversions import to_radian class TestMatrix(TestCase): """Testing of class Matrix.""" def test_default(self): """Test default constructor.""" matrix = Matrix() assert_that(len(list(matrix.rows())), equal_to(2)) assert_that(len(list(matrix.columns())), equal_to(2)) assert_that(list(matrix.rows()), equal_to([[0, 0], [0, 0]])) assert_that(list(matrix.columns()), equal_to([[0, 0], [0, 0]])) assert_that(matrix.shape(), equal_to((2, 2))) def test_setitem(self): """Test changing a value in the matrix.""" matrix = Matrix() matrix[0, 0] = 1 matrix[0, 1] = 2 matrix[1, 0] = 3 matrix[1, 1] = 4 assert_that(list(matrix.rows()), equal_to([[1, 2], [3, 4]])) assert_that(list(matrix.columns()), equal_to([[1, 3], [2, 4]])) assert_that(calling(matrix.__setitem__).with_args(1, 5), raises(TypeError, "Index is equired to be a tuple")) assert_that(calling(matrix.__setitem__).with_args((1, 2, 3), 5), raises(TypeError, "Index is equired to be a tuple with two ints")) assert_that(calling(matrix.__setitem__).with_args((1.0, 2.0), 5), raises(TypeError, "Index is equired to be a tuple with two ints")) assert_that(calling(matrix.__setitem__).with_args((1, 1), "hello"), raises(TypeError, "Value is expected to be a float or an int")) def test_getitem(self): """Test retrieving a value in the matrix.""" matrix = Matrix.from_sequence([[1, 2], [3, 4]]) assert_that(matrix[0, 0], equal_to(1)) assert_that(matrix[0, 1], equal_to(2)) assert_that(matrix[1, 0], equal_to(3)) assert_that(matrix[1, 1], equal_to(4)) assert_that(calling(matrix.__getitem__).with_args(1), raises(TypeError, "Index is equired to be a tuple")) assert_that(calling(matrix.__getitem__).with_args((1.0, 2.0)), raises(TypeError, "Index is equired to be a tuple with two ints")) def test_from_sequence(self): """Testing of from_sequence static function.""" matrix = Matrix.from_sequence([[1, 2, 3], [4, 5, 6]]) assert_that(list(matrix.rows()), equal_to([[1, 2, 3], [4, 5, 6]])) message = "Not a list or tuple of rows" assert_that(calling(Matrix.from_sequence).with_args(1234), raises(TypeError, message)) message = "Not all rows are lists or tuples" assert_that(calling(Matrix.from_sequence).with_args([1, 2, 3, 4]), raises(TypeError, message)) message = "Either rows, columns or both are 0 entries" assert_that(calling(Matrix.from_sequence).with_args([]), raises(ValueError, message)) def test_mul(self): """Testing of __mul__ method.""" matrix_a = Matrix.from_sequence([[1, 2, 3], [4, 5, 6]]) matrix_b = Matrix.from_sequence([[7, 8], [9, 10], [11, 12]]) matrix_c = matrix_a * matrix_b assert_that(matrix_c.shape(), equal_to((2, 2))) assert_that(list(matrix_c.rows()), equal_to([[58, 64], [139, 154]])) message = "You cannot multiply a value of type %s with a matrix" % type(0) assert_that(calling(matrix_a.__mul__).with_args(1234), raises(TypeError, message)) def test_translation(self): """Testing translation via matrix multiplication.""" # representation of the vector or point (ignore fourth value, is always 1) matrix_a = Matrix.from_sequence([[1, 1, 1, 1]]) # representation of the translation matrix matrix_b = Matrix.from_sequence( [[1, 0, 0, 0], [0, 1, 0, 0], [0, 0, 1, 0], [1, 2, 3, 1]]) # translating matrix_c = matrix_a * matrix_b # result vector or point (ignore fourth value is always 1) assert_that(list(matrix_c.columns()), equal_to([[2], [3], [4], [1]])) def test_scale(self): """Testing scaling via matrix multiplication.""" # representation of the vector or point (ignore fourth value, is always 1) matrix_a = Matrix.from_sequence([[1, 2, 3, 1]]) # representation of the scale matrix matrix_b = Matrix.from_sequence( [[2, 0, 0, 0], [0, 2, 0, 0], [0, 0, 2, 0], [0, 0, 0, 1]]) # scaling matrix_c = matrix_a * matrix_b # result vector or point (ignore fourth value is always 1) assert_that(list(matrix_c.columns()), equal_to([[2], [4], [6], [1]])) def test_rotation_z(self): """Testing rotation around z axis via matrix multiplication.""" # representation of the vector or point (ignore fourth value, is always 1) vector = Vector(1, 1, 0).normalized() matrix_a = Matrix.from_sequence([[vector.x, vector.y, vector.z]]) # representation of the rotation matrix along y axis angle = to_radian(-90.0) matrix_b = Matrix.from_sequence( [[math.cos(angle), -math.sin(angle), 0.0], [math.sin(angle), math.cos(angle), 0.0], [0.0, 0.0, 1.0]]) # rotating around z axis matrix_final = matrix_a * matrix_b assert_that(abs(matrix_final[0, 0] - -vector.x), less_than_or_equal_to(Options.PRECISION), "x value was %g instead of %s" % (matrix_final[0, 0], -vector.x)) assert_that(abs(matrix_final[0, 1] - vector.y), less_than_or_equal_to(Options.PRECISION), "y value was %g instead of %s" % (matrix_final[0, 1], vector.y)) assert_that(abs(matrix_final[0, 2] - vector.z), less_than_or_equal_to(Options.PRECISION), "z value was %g instead of %s" % (matrix_final[0, 2], vector.z)) def test_rotation_y(self): """Testing rotation around y axis via matrix multiplication.""" # representation of the vector or point (ignore fourth value, is always 1) vector = Vector(1, 1, 0).normalized() matrix_a = Matrix.from_sequence([[vector.x, vector.y, vector.z]]) # representation of the rotation matrix along y axis angle = to_radian(90.0) matrix_b = Matrix.from_sequence( [[math.cos(angle), 0.0, math.sin(angle)], [0.0, 1.0, 0.0], [-math.sin(angle), 0.0, math.cos(angle)]]) # rotating around z axis matrix_final = matrix_a * matrix_b assert_that(abs(matrix_final[0, 0] - vector.z), less_than_or_equal_to(Options.PRECISION), "x value was %g instead of %s" % (matrix_final[0, 0], vector.z)) assert_that(abs(matrix_final[0, 1] - vector.y), less_than_or_equal_to(Options.PRECISION), "y value was %g instead of %s" % (matrix_final[0, 1], vector.y)) assert_that(abs(matrix_final[0, 2] - vector.x), less_than_or_equal_to(Options.PRECISION), "z value was %g instead of %s" % (matrix_final[0, 2], vector.x)) def test_rotation_x(self): """Testing rotation around x axis via matrix multiplication.""" # representation of the vector or point (ignore fourth value, is always 1) vector = Vector(1, 1, 0).normalized() matrix_a = Matrix.from_sequence([[vector.x, vector.y, vector.z]]) # representation of the rotation matrix along y axis angle = to_radian(-90.0) matrix_b = Matrix.from_sequence( [[1.0, 0.0, 0.0], [0.0, math.cos(angle), -math.sin(angle)], [0.0, math.sin(angle), math.cos(angle)]]) # rotating around z axis matrix_final = matrix_a * matrix_b assert_that(abs(matrix_final[0, 0] - vector.x), less_than_or_equal_to(Options.PRECISION), "x value was %g instead of %s" % (matrix_final[0, 0], vector.z)) assert_that(abs(matrix_final[0, 1] - vector.z), less_than_or_equal_to(Options.PRECISION), "y value was %g instead of %s" % (matrix_final[0, 1], vector.z)) assert_that(abs(matrix_final[0, 2] - vector.y), less_than_or_equal_to(Options.PRECISION), "z value was %g instead of %s" % (matrix_final[0, 2], vector.y)) def test_repr(self): """Test __repr__ method.""" matrix = Matrix.from_sequence([[1, 2, 3], [4, 5, 6]]) expected_string = "Matrix([[1, 2, 3], [4, 5, 6]])" assert_that(str(matrix), equal_to(expected_string)) def test_matrix_mult_perf(benchmark): """Testing performance of matrix multiplication.""" matrix_a = Matrix.from_sequence([[1, 2, 3], [4, 5, 6]]) matrix_b = Matrix.from_sequence([[7, 8], [9, 10], [11, 12]]) benchmark(matrix_a.__mul__, matrix_b)

47.130208

98

0.604597

import math from unittest import TestCase from hamcrest import assert_that, equal_to, calling, raises, less_than_or_equal_to from engine.base.matrix import Matrix from engine.threed.vector import Vector from engine.tools.options import Options from engine.tools.conversions import to_radian class TestMatrix(TestCase): def test_default(self): matrix = Matrix() assert_that(len(list(matrix.rows())), equal_to(2)) assert_that(len(list(matrix.columns())), equal_to(2)) assert_that(list(matrix.rows()), equal_to([[0, 0], [0, 0]])) assert_that(list(matrix.columns()), equal_to([[0, 0], [0, 0]])) assert_that(matrix.shape(), equal_to((2, 2))) def test_setitem(self): matrix = Matrix() matrix[0, 0] = 1 matrix[0, 1] = 2 matrix[1, 0] = 3 matrix[1, 1] = 4 assert_that(list(matrix.rows()), equal_to([[1, 2], [3, 4]])) assert_that(list(matrix.columns()), equal_to([[1, 3], [2, 4]])) assert_that(calling(matrix.__setitem__).with_args(1, 5), raises(TypeError, "Index is equired to be a tuple")) assert_that(calling(matrix.__setitem__).with_args((1, 2, 3), 5), raises(TypeError, "Index is equired to be a tuple with two ints")) assert_that(calling(matrix.__setitem__).with_args((1.0, 2.0), 5), raises(TypeError, "Index is equired to be a tuple with two ints")) assert_that(calling(matrix.__setitem__).with_args((1, 1), "hello"), raises(TypeError, "Value is expected to be a float or an int")) def test_getitem(self): matrix = Matrix.from_sequence([[1, 2], [3, 4]]) assert_that(matrix[0, 0], equal_to(1)) assert_that(matrix[0, 1], equal_to(2)) assert_that(matrix[1, 0], equal_to(3)) assert_that(matrix[1, 1], equal_to(4)) assert_that(calling(matrix.__getitem__).with_args(1), raises(TypeError, "Index is equired to be a tuple")) assert_that(calling(matrix.__getitem__).with_args((1.0, 2.0)), raises(TypeError, "Index is equired to be a tuple with two ints")) def test_from_sequence(self): matrix = Matrix.from_sequence([[1, 2, 3], [4, 5, 6]]) assert_that(list(matrix.rows()), equal_to([[1, 2, 3], [4, 5, 6]])) message = "Not a list or tuple of rows" assert_that(calling(Matrix.from_sequence).with_args(1234), raises(TypeError, message)) message = "Not all rows are lists or tuples" assert_that(calling(Matrix.from_sequence).with_args([1, 2, 3, 4]), raises(TypeError, message)) message = "Either rows, columns or both are 0 entries" assert_that(calling(Matrix.from_sequence).with_args([]), raises(ValueError, message)) def test_mul(self): matrix_a = Matrix.from_sequence([[1, 2, 3], [4, 5, 6]]) matrix_b = Matrix.from_sequence([[7, 8], [9, 10], [11, 12]]) matrix_c = matrix_a * matrix_b assert_that(matrix_c.shape(), equal_to((2, 2))) assert_that(list(matrix_c.rows()), equal_to([[58, 64], [139, 154]])) message = "You cannot multiply a value of type %s with a matrix" % type(0) assert_that(calling(matrix_a.__mul__).with_args(1234), raises(TypeError, message)) def test_translation(self): matrix_a = Matrix.from_sequence([[1, 1, 1, 1]]) matrix_b = Matrix.from_sequence( [[1, 0, 0, 0], [0, 1, 0, 0], [0, 0, 1, 0], [1, 2, 3, 1]]) matrix_c = matrix_a * matrix_b assert_that(list(matrix_c.columns()), equal_to([[2], [3], [4], [1]])) def test_scale(self): matrix_a = Matrix.from_sequence([[1, 2, 3, 1]]) matrix_b = Matrix.from_sequence( [[2, 0, 0, 0], [0, 2, 0, 0], [0, 0, 2, 0], [0, 0, 0, 1]]) matrix_c = matrix_a * matrix_b assert_that(list(matrix_c.columns()), equal_to([[2], [4], [6], [1]])) def test_rotation_z(self): vector = Vector(1, 1, 0).normalized() matrix_a = Matrix.from_sequence([[vector.x, vector.y, vector.z]]) angle = to_radian(-90.0) matrix_b = Matrix.from_sequence( [[math.cos(angle), -math.sin(angle), 0.0], [math.sin(angle), math.cos(angle), 0.0], [0.0, 0.0, 1.0]]) matrix_final = matrix_a * matrix_b assert_that(abs(matrix_final[0, 0] - -vector.x), less_than_or_equal_to(Options.PRECISION), "x value was %g instead of %s" % (matrix_final[0, 0], -vector.x)) assert_that(abs(matrix_final[0, 1] - vector.y), less_than_or_equal_to(Options.PRECISION), "y value was %g instead of %s" % (matrix_final[0, 1], vector.y)) assert_that(abs(matrix_final[0, 2] - vector.z), less_than_or_equal_to(Options.PRECISION), "z value was %g instead of %s" % (matrix_final[0, 2], vector.z)) def test_rotation_y(self): vector = Vector(1, 1, 0).normalized() matrix_a = Matrix.from_sequence([[vector.x, vector.y, vector.z]]) angle = to_radian(90.0) matrix_b = Matrix.from_sequence( [[math.cos(angle), 0.0, math.sin(angle)], [0.0, 1.0, 0.0], [-math.sin(angle), 0.0, math.cos(angle)]]) matrix_final = matrix_a * matrix_b assert_that(abs(matrix_final[0, 0] - vector.z), less_than_or_equal_to(Options.PRECISION), "x value was %g instead of %s" % (matrix_final[0, 0], vector.z)) assert_that(abs(matrix_final[0, 1] - vector.y), less_than_or_equal_to(Options.PRECISION), "y value was %g instead of %s" % (matrix_final[0, 1], vector.y)) assert_that(abs(matrix_final[0, 2] - vector.x), less_than_or_equal_to(Options.PRECISION), "z value was %g instead of %s" % (matrix_final[0, 2], vector.x)) def test_rotation_x(self): vector = Vector(1, 1, 0).normalized() matrix_a = Matrix.from_sequence([[vector.x, vector.y, vector.z]]) angle = to_radian(-90.0) matrix_b = Matrix.from_sequence( [[1.0, 0.0, 0.0], [0.0, math.cos(angle), -math.sin(angle)], [0.0, math.sin(angle), math.cos(angle)]]) matrix_final = matrix_a * matrix_b assert_that(abs(matrix_final[0, 0] - vector.x), less_than_or_equal_to(Options.PRECISION), "x value was %g instead of %s" % (matrix_final[0, 0], vector.z)) assert_that(abs(matrix_final[0, 1] - vector.z), less_than_or_equal_to(Options.PRECISION), "y value was %g instead of %s" % (matrix_final[0, 1], vector.z)) assert_that(abs(matrix_final[0, 2] - vector.y), less_than_or_equal_to(Options.PRECISION), "z value was %g instead of %s" % (matrix_final[0, 2], vector.y)) def test_repr(self): matrix = Matrix.from_sequence([[1, 2, 3], [4, 5, 6]]) expected_string = "Matrix([[1, 2, 3], [4, 5, 6]])" assert_that(str(matrix), equal_to(expected_string)) def test_matrix_mult_perf(benchmark): matrix_a = Matrix.from_sequence([[1, 2, 3], [4, 5, 6]]) matrix_b = Matrix.from_sequence([[7, 8], [9, 10], [11, 12]]) benchmark(matrix_a.__mul__, matrix_b)

true

f7f4ec39fb9ddc0c3b058c539016113f296f07cf

630

py

Python

tests/test_getObjectRoutes.py

benjaminguinaudeau/TikTok-Api

3ca25c05bc758e628ab5c35a4c4cf3d1810184a2

[ "MIT" ]

null

tests/test_getObjectRoutes.py

benjaminguinaudeau/TikTok-Api

3ca25c05bc758e628ab5c35a4c4cf3d1810184a2

[ "MIT" ]

null

tests/test_getObjectRoutes.py

benjaminguinaudeau/TikTok-Api

3ca25c05bc758e628ab5c35a4c4cf3d1810184a2

[ "MIT" ]

null

from TikTokApi import TikTokApi import os api = TikTokApi.get_instance(custom_verifyFp=os.environ.get("verifyFp", None)) def test_tiktok_object(): assert len(api.getTikTokById("6829267836783971589")) > 0 assert ( len( api.getTikTokByUrl( "https://www.tiktok.com/@therock/video/6829267836783971589" ) ) > 0 ) def test_user_object(): assert len(api.getUserObject("therock")) > 0 def test_music_object(): assert len(api.getMusicObject("6820695018429253633")) > 0 def test_hashtag_object(): assert len(api.getHashtagObject("funny")) > 0

21.724138

78

0.657143

from TikTokApi import TikTokApi import os api = TikTokApi.get_instance(custom_verifyFp=os.environ.get("verifyFp", None)) def test_tiktok_object(): assert len(api.getTikTokById("6829267836783971589")) > 0 assert ( len( api.getTikTokByUrl( "https://www.tiktok.com/@therock/video/6829267836783971589" ) ) > 0 ) def test_user_object(): assert len(api.getUserObject("therock")) > 0 def test_music_object(): assert len(api.getMusicObject("6820695018429253633")) > 0 def test_hashtag_object(): assert len(api.getHashtagObject("funny")) > 0

true

f7f4ec604a62b269cb5052c5cf795d02f6aa9f41

746

py

Python

src/restful/rest/rest/urls.py

zgarciboogie/workout_tracker

ead429d9fac2e25eb8b49b1d1238133821b00cf1

[ "MIT" ]

null

src/restful/rest/rest/urls.py

zgarciboogie/workout_tracker

ead429d9fac2e25eb8b49b1d1238133821b00cf1

[ "MIT" ]

null

src/restful/rest/rest/urls.py

zgarciboogie/workout_tracker

ead429d9fac2e25eb8b49b1d1238133821b00cf1

[ "MIT" ]

null

"""rest URL Configuration The `urlpatterns` list routes URLs to views. For more information please see: https://docs.djangoproject.com/en/3.0/topics/http/urls/ Examples: Function views 1. Add an import: from my_app import views 2. Add a URL to urlpatterns: path('', views.home, name='home') Class-based views 1. Add an import: from other_app.views import Home 2. Add a URL to urlpatterns: path('', Home.as_view(), name='home') Including another URLconf 1. Import the include() function: from django.urls import include, path 2. Add a URL to urlpatterns: path('blog/', include('blog.urls')) """ from django.contrib import admin from django.urls import path urlpatterns = [ path('admin/', admin.site.urls), ]

33.909091

77

0.707775

from django.contrib import admin from django.urls import path urlpatterns = [ path('admin/', admin.site.urls), ]

true

f7f4ed5ad462b25a556d52ea00c4c87cbd1d1aff

62

py

Python

maiornum.py

ruancs/Python

8987cd4a31af903782f67afd611e6b8893cc770b

[ "MIT" ]

2

2020-02-04T05:04:59.000Z

2020-02-22T07:55:16.000Z

maiornum.py

ruancs/Python

8987cd4a31af903782f67afd611e6b8893cc770b

[ "MIT" ]

null

maiornum.py

ruancs/Python

8987cd4a31af903782f67afd611e6b8893cc770b

[ "MIT" ]

null

def maximo (x, y): if x > y: return(x) else: return(y)

8.857143

18

0.532258

def maximo (x, y): if x > y: return(x) else: return(y)

true

f7f4edae6acb4fc2b9d1e9a60f362ea6a9af3141

2,615

py

Python

tensorflow_datasets/translate/wmt19.py

turgunyusuf/datasets

50af6bfdf2dc96c7500883d0aaa83c2315aa87dc

[ "Apache-2.0" ]

2

2019-05-10T16:22:31.000Z

2019-09-16T11:07:46.000Z

tensorflow_datasets/translate/wmt19.py

turgunyusuf/datasets

50af6bfdf2dc96c7500883d0aaa83c2315aa87dc

[ "Apache-2.0" ]

null

tensorflow_datasets/translate/wmt19.py

turgunyusuf/datasets

50af6bfdf2dc96c7500883d0aaa83c2315aa87dc

[ "Apache-2.0" ]

null

# coding=utf-8 # Copyright 2019 The TensorFlow Datasets 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 by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """WMT19: Translate dataset.""" import tensorflow_datasets.public_api as tfds from tensorflow_datasets.translate import wmt _URL = "http://www.statmt.org/wmt19/translation-task.html" # TODO(adarob): Update with citation of overview paper once it is published. _CITATION = """ @ONLINE {wmt19translate, author = "Wikimedia Foundation", title = "ACL 2019 Fourth Conference on Machine Translation (WMT19), Shared Task: Machine Translation of News", url = "http://www.statmt.org/wmt19/translation-task.html" } """ _LANGUAGE_PAIRS = [ (lang, "en") for lang in ["cs", "de", "fi", "gu", "kk", "lt", "ru", "zh"] ] + [("fr", "de")] class Wmt19Translate(wmt.WmtTranslate): """WMT 19 translation datasets for {(xx, "en")} + ("fr", "de") pairs.""" BUILDER_CONFIGS = [ wmt.WmtConfig( # pylint:disable=g-complex-comprehension description="WMT 2019 %s-%s translation task dataset." % (l1, l2), url=_URL, citation=_CITATION, language_pair=(l1, l2), version="0.0.2") for l1, l2 in _LANGUAGE_PAIRS ] @property def _subsets(self): return { tfds.Split.TRAIN: [ "europarl_v9", "europarl_v7_frde", "paracrawl_v3", "paracrawl_v1_ru", "paracrawl_v3_frde", "commoncrawl", "commoncrawl_frde", "newscommentary_v14", "newscommentary_v14_frde", "czeng_17", "yandexcorpus", "wikititles_v1", "uncorpus_v1", "rapid_2016_ltfi", "rapid_2019"] + wmt.CWMT_SUBSET_NAMES, tfds.Split.VALIDATION: [ "euelections_dev2019", "newsdev2014", "newsdev2015", "newsdev2016", "newsdev2017", "newsdev2018", "newsdev2019", "newsdiscussdev2015", "newsdiscusstest2015", "newssyscomb2009", "newstest2008", "newstest2009", "newstest2010", "newstest2011", "newstest2012", "newstest2013", "newstest2014", "newstest2015", "newstest2016", "newstestB2016", "newstest2017", "newstestB2017", "newstest2018"] }

39.621212

115

0.668834

import tensorflow_datasets.public_api as tfds from tensorflow_datasets.translate import wmt _URL = "http://www.statmt.org/wmt19/translation-task.html" _CITATION = """ @ONLINE {wmt19translate, author = "Wikimedia Foundation", title = "ACL 2019 Fourth Conference on Machine Translation (WMT19), Shared Task: Machine Translation of News", url = "http://www.statmt.org/wmt19/translation-task.html" } """ _LANGUAGE_PAIRS = [ (lang, "en") for lang in ["cs", "de", "fi", "gu", "kk", "lt", "ru", "zh"] ] + [("fr", "de")] class Wmt19Translate(wmt.WmtTranslate): BUILDER_CONFIGS = [ wmt.WmtConfig( description="WMT 2019 %s-%s translation task dataset." % (l1, l2), url=_URL, citation=_CITATION, language_pair=(l1, l2), version="0.0.2") for l1, l2 in _LANGUAGE_PAIRS ] @property def _subsets(self): return { tfds.Split.TRAIN: [ "europarl_v9", "europarl_v7_frde", "paracrawl_v3", "paracrawl_v1_ru", "paracrawl_v3_frde", "commoncrawl", "commoncrawl_frde", "newscommentary_v14", "newscommentary_v14_frde", "czeng_17", "yandexcorpus", "wikititles_v1", "uncorpus_v1", "rapid_2016_ltfi", "rapid_2019"] + wmt.CWMT_SUBSET_NAMES, tfds.Split.VALIDATION: [ "euelections_dev2019", "newsdev2014", "newsdev2015", "newsdev2016", "newsdev2017", "newsdev2018", "newsdev2019", "newsdiscussdev2015", "newsdiscusstest2015", "newssyscomb2009", "newstest2008", "newstest2009", "newstest2010", "newstest2011", "newstest2012", "newstest2013", "newstest2014", "newstest2015", "newstest2016", "newstestB2016", "newstest2017", "newstestB2017", "newstest2018"] }

true

f7f4edc650e7799840030f911471f1e3f2b19b0a

5,011

py

Python

venv/Lib/site-packages/PySide2/examples/widgets/graphicsview/anchorlayout.py

Farhan-Malik/advance-hand-gesture

0ebe21ddd7c8c2eb14746678be57b33d38c47205

[ "MIT" ]

41

2021-06-19T13:57:18.000Z

2021-12-02T17:08:53.000Z

venv/Lib/site-packages/PySide2/examples/widgets/graphicsview/anchorlayout.py

Farhan-Malik/advance-hand-gesture

0ebe21ddd7c8c2eb14746678be57b33d38c47205

[ "MIT" ]

20

2021-05-03T18:02:23.000Z

2022-03-12T12:01:04.000Z

venvWIN/Lib/site-packages/PySide2/examples/widgets/graphicsview/anchorlayout.py

NeroNekro/PortableController

a8bbfc1b6c8cb2c919e48eb0104e42f436059b18

[ "BSD-3-Clause" ]

4

2021-07-02T03:09:51.000Z

2021-11-25T13:00:10.000Z

############################################################################# ## ## Copyright (C) 2013 Riverbank Computing Limited. ## Copyright (C) 2016 The Qt Company Ltd. ## Contact: http://www.qt.io/licensing/ ## ## This file is part of the Qt for Python examples of the Qt Toolkit. ## ## $QT_BEGIN_LICENSE:BSD$ ## You may use this file under the terms of the BSD license as follows: ## ## "Redistribution and use in source and binary forms, with or without ## modification, are permitted provided that the following conditions are ## met: ## * Redistributions of source code must retain the above copyright ## notice, this list of conditions and the following disclaimer. ## * Redistributions in binary form must reproduce the above copyright ## notice, this list of conditions and the following disclaimer in ## the documentation and/or other materials provided with the ## distribution. ## * Neither the name of The Qt Company Ltd nor the names of its ## contributors may be used to endorse or promote products derived ## from this software without specific prior written permission. ## ## ## THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS ## "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT ## LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR ## A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT ## OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, ## SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT ## LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, ## DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY ## THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT ## (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE ## OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE." ## ## $QT_END_LICENSE$ ## ############################################################################# from PySide2 import QtCore, QtWidgets def createItem(minimum, preferred, maximum, name): w = QtWidgets.QGraphicsProxyWidget() w.setWidget(QtWidgets.QPushButton(name)) w.setMinimumSize(minimum) w.setPreferredSize(preferred) w.setMaximumSize(maximum) w.setSizePolicy(QtWidgets.QSizePolicy.Preferred, QtWidgets.QSizePolicy.Preferred) return w if __name__ == '__main__': import sys app = QtWidgets.QApplication(sys.argv) scene = QtWidgets.QGraphicsScene() scene.setSceneRect(0, 0, 800, 480) minSize = QtCore.QSizeF(30, 100) prefSize = QtCore.QSizeF(210, 100) maxSize = QtCore.QSizeF(300, 100) a = createItem(minSize, prefSize, maxSize, "A") b = createItem(minSize, prefSize, maxSize, "B") c = createItem(minSize, prefSize, maxSize, "C") d = createItem(minSize, prefSize, maxSize, "D") e = createItem(minSize, prefSize, maxSize, "E") f = createItem(QtCore.QSizeF(30, 50), QtCore.QSizeF(150, 50), maxSize, "F") g = createItem(QtCore.QSizeF(30, 50), QtCore.QSizeF(30, 100), maxSize, "G") l = QtWidgets.QGraphicsAnchorLayout() l.setSpacing(0) w = QtWidgets.QGraphicsWidget(None, QtCore.Qt.Window) w.setPos(20, 20) w.setLayout(l) # Vertical. l.addAnchor(a, QtCore.Qt.AnchorTop, l, QtCore.Qt.AnchorTop) l.addAnchor(b, QtCore.Qt.AnchorTop, l, QtCore.Qt.AnchorTop) l.addAnchor(c, QtCore.Qt.AnchorTop, a, QtCore.Qt.AnchorBottom) l.addAnchor(c, QtCore.Qt.AnchorTop, b, QtCore.Qt.AnchorBottom) l.addAnchor(c, QtCore.Qt.AnchorBottom, d, QtCore.Qt.AnchorTop) l.addAnchor(c, QtCore.Qt.AnchorBottom, e, QtCore.Qt.AnchorTop) l.addAnchor(d, QtCore.Qt.AnchorBottom, l, QtCore.Qt.AnchorBottom) l.addAnchor(e, QtCore.Qt.AnchorBottom, l, QtCore.Qt.AnchorBottom) l.addAnchor(c, QtCore.Qt.AnchorTop, f, QtCore.Qt.AnchorTop) l.addAnchor(c, QtCore.Qt.AnchorVerticalCenter, f, QtCore.Qt.AnchorBottom) l.addAnchor(f, QtCore.Qt.AnchorBottom, g, QtCore.Qt.AnchorTop) l.addAnchor(c, QtCore.Qt.AnchorBottom, g, QtCore.Qt.AnchorBottom) # Horizontal. l.addAnchor(l, QtCore.Qt.AnchorLeft, a, QtCore.Qt.AnchorLeft) l.addAnchor(l, QtCore.Qt.AnchorLeft, d, QtCore.Qt.AnchorLeft) l.addAnchor(a, QtCore.Qt.AnchorRight, b, QtCore.Qt.AnchorLeft) l.addAnchor(a, QtCore.Qt.AnchorRight, c, QtCore.Qt.AnchorLeft) l.addAnchor(c, QtCore.Qt.AnchorRight, e, QtCore.Qt.AnchorLeft) l.addAnchor(b, QtCore.Qt.AnchorRight, l, QtCore.Qt.AnchorRight) l.addAnchor(e, QtCore.Qt.AnchorRight, l, QtCore.Qt.AnchorRight) l.addAnchor(d, QtCore.Qt.AnchorRight, e, QtCore.Qt.AnchorLeft) l.addAnchor(l, QtCore.Qt.AnchorLeft, f, QtCore.Qt.AnchorLeft) l.addAnchor(l, QtCore.Qt.AnchorLeft, g, QtCore.Qt.AnchorLeft) l.addAnchor(f, QtCore.Qt.AnchorRight, g, QtCore.Qt.AnchorRight) scene.addItem(w) scene.setBackgroundBrush(QtCore.Qt.darkGreen) view = QtWidgets.QGraphicsView(scene) view.show() sys.exit(app.exec_())

39.769841

85

0.700858

true

f7f4ee2d824ef7d2ab32b897a286ee699744e5ec

19,608

py

Python

official/transformer/v2/transformer_main.py

zcdzcdzcd/models

a31b526a7617a152a138a865b5689bf5b59f655d

[ "Apache-2.0" ]

5

2020-11-16T06:26:19.000Z

2022-03-27T02:01:40.000Z

official/transformer/v2/transformer_main.py

zcdzcdzcd/models

a31b526a7617a152a138a865b5689bf5b59f655d

[ "Apache-2.0" ]

5

2020-11-13T18:50:30.000Z

2022-02-10T01:42:36.000Z

official/transformer/v2/transformer_main.py

zcdzcdzcd/models

a31b526a7617a152a138a865b5689bf5b59f655d

[ "Apache-2.0" ]

3

2017-08-15T11:29:03.000Z

2020-12-07T18:06:12.000Z

# Copyright 2018 The TensorFlow Authors. 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 required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== """Train and evaluate the Transformer model. See README for description of setting the training schedule and evaluating the BLEU score. """ from __future__ import absolute_import from __future__ import division from __future__ import print_function import os import tempfile from absl import app from absl import flags from absl import logging import tensorflow as tf # pylint: disable=g-bad-import-order from official.transformer import compute_bleu from official.transformer.utils import tokenizer from official.transformer.v2 import data_pipeline from official.transformer.v2 import metrics from official.transformer.v2 import misc from official.transformer.v2 import optimizer from official.transformer.v2 import transformer from official.transformer.v2 import translate from official.utils.flags import core as flags_core from official.utils.logs import logger from official.utils.misc import keras_utils from official.utils.misc import distribution_utils INF = int(1e9) BLEU_DIR = "bleu" _SINGLE_SAMPLE = 1 def translate_and_compute_bleu(model, params, subtokenizer, bleu_source, bleu_ref, distribution_strategy=None): """Translate file and report the cased and uncased bleu scores. Args: model: A Keras model, used to generate the translations. params: A dictionary, containing the translation related parameters. subtokenizer: A subtokenizer object, used for encoding and decoding source and translated lines. bleu_source: A file containing source sentences for translation. bleu_ref: A file containing the reference for the translated sentences. distribution_strategy: A platform distribution strategy, used for TPU based translation. Returns: uncased_score: A float, the case insensitive BLEU score. cased_score: A float, the case sensitive BLEU score. """ # Create temporary file to store translation. tmp = tempfile.NamedTemporaryFile(delete=False) tmp_filename = tmp.name translate.translate_file( model, params, subtokenizer, bleu_source, output_file=tmp_filename, print_all_translations=False, distribution_strategy=distribution_strategy) # Compute uncased and cased bleu scores. uncased_score = compute_bleu.bleu_wrapper(bleu_ref, tmp_filename, False) cased_score = compute_bleu.bleu_wrapper(bleu_ref, tmp_filename, True) os.remove(tmp_filename) return uncased_score, cased_score def evaluate_and_log_bleu(model, params, bleu_source, bleu_ref, vocab_file, distribution_strategy=None): """Calculate and record the BLEU score. Args: model: A Keras model, used to generate the translations. params: A dictionary, containing the translation related parameters. bleu_source: A file containing source sentences for translation. bleu_ref: A file containing the reference for the translated sentences. vocab_file: A file containing the vocabulary for translation. distribution_strategy: A platform distribution strategy, used for TPU based translation. Returns: uncased_score: A float, the case insensitive BLEU score. cased_score: A float, the case sensitive BLEU score. """ subtokenizer = tokenizer.Subtokenizer(vocab_file) uncased_score, cased_score = translate_and_compute_bleu( model, params, subtokenizer, bleu_source, bleu_ref, distribution_strategy) logging.info("Bleu score (uncased): %s", uncased_score) logging.info("Bleu score (cased): %s", cased_score) return uncased_score, cased_score class TransformerTask(object): """Main entry of Transformer model.""" def __init__(self, flags_obj): """Init function of TransformerMain. Args: flags_obj: Object containing parsed flag values, i.e., FLAGS. Raises: ValueError: if not using static batch for input data on TPU. """ self.flags_obj = flags_obj self.predict_model = None # Add flag-defined parameters to params object num_gpus = flags_core.get_num_gpus(flags_obj) self.params = params = misc.get_model_params(flags_obj.param_set, num_gpus) params["num_gpus"] = num_gpus params["use_ctl"] = flags_obj.use_ctl params["data_dir"] = flags_obj.data_dir params["model_dir"] = flags_obj.model_dir params["static_batch"] = flags_obj.static_batch params["max_length"] = flags_obj.max_length params["decode_batch_size"] = flags_obj.decode_batch_size params["decode_max_length"] = flags_obj.decode_max_length params["padded_decode"] = flags_obj.padded_decode params["num_parallel_calls"] = ( flags_obj.num_parallel_calls or tf.data.experimental.AUTOTUNE) params["use_synthetic_data"] = flags_obj.use_synthetic_data params["batch_size"] = flags_obj.batch_size or params["default_batch_size"] params["repeat_dataset"] = None params["dtype"] = flags_core.get_tf_dtype(flags_obj) params["enable_tensorboard"] = flags_obj.enable_tensorboard params["enable_metrics_in_training"] = flags_obj.enable_metrics_in_training params["steps_between_evals"] = flags_obj.steps_between_evals self.distribution_strategy = distribution_utils.get_distribution_strategy( distribution_strategy=flags_obj.distribution_strategy, num_gpus=num_gpus, all_reduce_alg=flags_obj.all_reduce_alg, num_packs=flags_obj.num_packs, tpu_address=flags_obj.tpu or "") if self.use_tpu: params["num_replicas"] = self.distribution_strategy.num_replicas_in_sync if not params["static_batch"]: raise ValueError("TPU requires static batch for input data.") else: logging.info("Running transformer with num_gpus = %d", num_gpus) if self.distribution_strategy: logging.info("For training, using distribution strategy: %s", self.distribution_strategy) else: logging.info("Not using any distribution strategy.") if params["dtype"] == tf.float16: # TODO(reedwm): It's pretty ugly to set the global policy in a constructor # like this. What if multiple instances of TransformerTask are created? # We should have a better way in the tf.keras.mixed_precision API of doing # this. loss_scale = flags_core.get_loss_scale( flags_obj, default_for_fp16="dynamic") policy = tf.compat.v2.keras.mixed_precision.experimental.Policy( "mixed_float16", loss_scale=loss_scale) tf.compat.v2.keras.mixed_precision.experimental.set_policy(policy) elif params["dtype"] == tf.bfloat16: policy = tf.compat.v2.keras.mixed_precision.experimental.Policy( "mixed_bfloat16") tf.compat.v2.keras.mixed_precision.experimental.set_policy(policy) @property def use_tpu(self): if self.distribution_strategy: return isinstance(self.distribution_strategy, tf.distribute.experimental.TPUStrategy) return False def train(self): """Trains the model.""" params = self.params flags_obj = self.flags_obj # Sets config options. keras_utils.set_session_config(enable_xla=flags_obj.enable_xla) _ensure_dir(flags_obj.model_dir) with distribution_utils.get_strategy_scope(self.distribution_strategy): model = transformer.create_model(params, is_train=True) opt = self._create_optimizer() current_step = 0 checkpoint = tf.train.Checkpoint(model=model, optimizer=opt) latest_checkpoint = tf.train.latest_checkpoint(flags_obj.model_dir) if latest_checkpoint: checkpoint.restore(latest_checkpoint) logging.info("Loaded checkpoint %s", latest_checkpoint) current_step = opt.iterations.numpy() if params["use_ctl"]: train_loss_metric = tf.keras.metrics.Mean( "training_loss", dtype=tf.float32) if params["enable_tensorboard"]: summary_writer = tf.compat.v2.summary.create_file_writer( flags_obj.model_dir) else: summary_writer = tf.compat.v2.summary.create_noop_writer() train_metrics = [train_loss_metric] if params["enable_metrics_in_training"]: train_metrics = train_metrics + model.metrics else: model.compile(opt) model.summary() if self.use_tpu: # Different from experimental_distribute_dataset, # experimental_distribute_datasets_from_function requires # per-replica/local batch size. params["batch_size"] /= self.distribution_strategy.num_replicas_in_sync train_ds = ( self.distribution_strategy .experimental_distribute_datasets_from_function( lambda ctx: data_pipeline.train_input_fn(params, ctx))) else: train_ds = data_pipeline.train_input_fn(params) map_data_fn = data_pipeline.map_data_for_transformer_fn train_ds = train_ds.map( map_data_fn, num_parallel_calls=params["num_parallel_calls"]) if params["use_ctl"]: train_ds_iterator = iter(train_ds) callbacks = self._create_callbacks(flags_obj.model_dir, 0, params) # TODO(b/139418525): Refactor the custom training loop logic. @tf.function def train_steps(iterator, steps): """Training steps function for TPU runs. Args: iterator: The input iterator of the training dataset. steps: An integer, the number of training steps. Returns: A float, the loss value. """ def _step_fn(inputs): """Per-replica step function.""" inputs, targets = inputs with tf.GradientTape() as tape: logits = model([inputs, targets], training=True) loss = metrics.transformer_loss(logits, targets, params["label_smoothing"], params["vocab_size"]) # Scales the loss, which results in using the average loss across all # of the replicas for backprop. scaled_loss = loss / self.distribution_strategy.num_replicas_in_sync # De-dupes variables due to keras tracking issues. tvars = list({id(v): v for v in model.trainable_variables}.values()) grads = tape.gradient(scaled_loss, tvars) opt.apply_gradients(zip(grads, tvars)) # For reporting, the metric takes the mean of losses. train_loss_metric.update_state(loss) for _ in tf.range(steps): train_loss_metric.reset_states() self.distribution_strategy.experimental_run_v2( _step_fn, args=(next(iterator),)) cased_score, uncased_score = None, None cased_score_history, uncased_score_history = [], [] while current_step < flags_obj.train_steps: remaining_steps = flags_obj.train_steps - current_step train_steps_per_eval = ( remaining_steps if remaining_steps < flags_obj.steps_between_evals else flags_obj.steps_between_evals) current_iteration = current_step // flags_obj.steps_between_evals logging.info( "Start train iteration at global step:{}".format(current_step)) history = None if params["use_ctl"]: if not self.use_tpu: raise NotImplementedError( "Custom training loop on GPUs is not implemented.") # Runs training steps. with summary_writer.as_default(): train_steps( train_ds_iterator, tf.convert_to_tensor(train_steps_per_eval, dtype=tf.int32)) current_step += train_steps_per_eval train_loss = train_loss_metric.result().numpy().astype(float) logging.info("Train Step: %d/%d / loss = %s", current_step, flags_obj.train_steps, train_loss) if params["enable_tensorboard"]: for metric_obj in train_metrics: tf.compat.v2.summary.scalar(metric_obj.name, metric_obj.result(), current_step) checkpoint_name = checkpoint.save( os.path.join(flags_obj.model_dir, "ctl_step_{}.ckpt".format(current_step))) logging.info("Saved checkpoint to %s", checkpoint_name) else: if self.use_tpu: raise NotImplementedError( "Keras model.fit on TPUs is not implemented.") history = model.fit( train_ds, initial_epoch=current_iteration, epochs=current_iteration + 1, steps_per_epoch=train_steps_per_eval, callbacks=callbacks, # If TimeHistory is enabled, progress bar would be messy. Increase # the verbose level to get rid of it. verbose=(2 if flags_obj.enable_time_history else 1)) current_step += train_steps_per_eval logging.info("Train history: {}".format(history.history)) logging.info("End train iteration at global step:{}".format(current_step)) if (flags_obj.bleu_source and flags_obj.bleu_ref): uncased_score, cased_score = self.eval() cased_score_history.append([current_iteration + 1, cased_score]) uncased_score_history.append([current_iteration + 1, uncased_score]) stats = ({ "loss": train_loss } if history is None else misc.build_stats(history, callbacks)) if uncased_score and cased_score: stats["bleu_uncased"] = uncased_score stats["bleu_cased"] = cased_score stats["bleu_uncased_history"] = uncased_score_history stats["bleu_cased_history"] = cased_score_history return stats def eval(self): """Evaluates the model.""" distribution_strategy = self.distribution_strategy if self.use_tpu else None # We only want to create the model under DS scope for TPU case. # When 'distribution_strategy' is None, a no-op DummyContextManager will # be used. with distribution_utils.get_strategy_scope(distribution_strategy): if not self.predict_model: self.predict_model = transformer.create_model(self.params, False) self._load_weights_if_possible( self.predict_model, tf.train.latest_checkpoint(self.flags_obj.model_dir)) self.predict_model.summary() return evaluate_and_log_bleu( self.predict_model, self.params, self.flags_obj.bleu_source, self.flags_obj.bleu_ref, self.flags_obj.vocab_file, distribution_strategy) def predict(self): """Predicts result from the model.""" params = self.params flags_obj = self.flags_obj with tf.name_scope("model"): model = transformer.create_model(params, is_train=False) self._load_weights_if_possible( model, tf.train.latest_checkpoint(self.flags_obj.model_dir)) model.summary() subtokenizer = tokenizer.Subtokenizer(flags_obj.vocab_file) ds = data_pipeline.eval_input_fn(params) ds = ds.map(lambda x, y: x).take(_SINGLE_SAMPLE) ret = model.predict(ds) val_outputs, _ = ret length = len(val_outputs) for i in range(length): translate.translate_from_input(val_outputs[i], subtokenizer) def _create_callbacks(self, cur_log_dir, init_steps, params): """Creates a list of callbacks.""" sfunc = optimizer.LearningRateFn(params["learning_rate"], params["hidden_size"], params["learning_rate_warmup_steps"]) scheduler_callback = optimizer.LearningRateScheduler(sfunc, init_steps) callbacks = misc.get_callbacks(params["steps_between_evals"]) callbacks.append(scheduler_callback) ckpt_full_path = os.path.join(cur_log_dir, "cp-{epoch:04d}.ckpt") callbacks.append( tf.keras.callbacks.ModelCheckpoint( ckpt_full_path, save_weights_only=True)) return callbacks def _load_weights_if_possible(self, model, init_weight_path=None): """Loads model weights when it is provided.""" if init_weight_path: logging.info("Load weights: {}".format(init_weight_path)) # TODO(b/139414977): Having the same variable restoring method for both # TPU and GPU. if self.use_tpu: checkpoint = tf.train.Checkpoint( model=model, optimizer=self._create_optimizer()) checkpoint.restore(init_weight_path) else: model.load_weights(init_weight_path) else: logging.info("Weights not loaded from path:{}".format(init_weight_path)) def _create_optimizer(self): """Creates optimizer.""" params = self.params # TODO(b/139414679): Explore the difference between using # LearningRateSchedule and callback for GPU runs, and try to merge them. lr_schedule = optimizer.LearningRateSchedule( params["learning_rate"], params["hidden_size"], params["learning_rate_warmup_steps"]) opt = tf.keras.optimizers.Adam( lr_schedule if self.use_tpu else params["learning_rate"], params["optimizer_adam_beta1"], params["optimizer_adam_beta2"], epsilon=params["optimizer_adam_epsilon"]) if params["dtype"] == tf.float16: opt = tf.keras.mixed_precision.experimental.LossScaleOptimizer( opt, loss_scale=flags_core.get_loss_scale( self.flags_obj, default_for_fp16="dynamic")) if self.flags_obj.fp16_implementation == "graph_rewrite": # Note: when flags_obj.fp16_implementation == "graph_rewrite", dtype as # determined by flags_core.get_tf_dtype(flags_obj) would be 'float32' # which will ensure tf.compat.v2.keras.mixed_precision and # tf.train.experimental.enable_mixed_precision_graph_rewrite do not double # up. opt = tf.train.experimental.enable_mixed_precision_graph_rewrite(opt) return opt def _ensure_dir(log_dir): """Makes log dir if not existed.""" if not tf.io.gfile.exists(log_dir): tf.io.gfile.makedirs(log_dir) def main(_): flags_obj = flags.FLAGS with logger.benchmark_context(flags_obj): task = TransformerTask(flags_obj) # Execute flag override logic for better model performance if flags_obj.tf_gpu_thread_mode: keras_utils.set_gpu_thread_mode_and_count( per_gpu_thread_count=flags_obj.per_gpu_thread_count, gpu_thread_mode=flags_obj.tf_gpu_thread_mode, num_gpus=flags_obj.num_gpus, datasets_num_private_threads=flags_obj.datasets_num_private_threads) if flags_obj.mode == "train": task.train() elif flags_obj.mode == "predict": task.predict() elif flags_obj.mode == "eval": task.eval() else: raise ValueError("Invalid mode {}".format(flags_obj.mode)) if __name__ == "__main__": tf.compat.v1.enable_v2_behavior() logging.set_verbosity(logging.INFO) misc.define_transformer_flags() app.run(main)

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from __future__ import absolute_import from __future__ import division from __future__ import print_function import os import tempfile from absl import app from absl import flags from absl import logging import tensorflow as tf from official.transformer import compute_bleu from official.transformer.utils import tokenizer from official.transformer.v2 import data_pipeline from official.transformer.v2 import metrics from official.transformer.v2 import misc from official.transformer.v2 import optimizer from official.transformer.v2 import transformer from official.transformer.v2 import translate from official.utils.flags import core as flags_core from official.utils.logs import logger from official.utils.misc import keras_utils from official.utils.misc import distribution_utils INF = int(1e9) BLEU_DIR = "bleu" _SINGLE_SAMPLE = 1 def translate_and_compute_bleu(model, params, subtokenizer, bleu_source, bleu_ref, distribution_strategy=None): tmp = tempfile.NamedTemporaryFile(delete=False) tmp_filename = tmp.name translate.translate_file( model, params, subtokenizer, bleu_source, output_file=tmp_filename, print_all_translations=False, distribution_strategy=distribution_strategy) uncased_score = compute_bleu.bleu_wrapper(bleu_ref, tmp_filename, False) cased_score = compute_bleu.bleu_wrapper(bleu_ref, tmp_filename, True) os.remove(tmp_filename) return uncased_score, cased_score def evaluate_and_log_bleu(model, params, bleu_source, bleu_ref, vocab_file, distribution_strategy=None): subtokenizer = tokenizer.Subtokenizer(vocab_file) uncased_score, cased_score = translate_and_compute_bleu( model, params, subtokenizer, bleu_source, bleu_ref, distribution_strategy) logging.info("Bleu score (uncased): %s", uncased_score) logging.info("Bleu score (cased): %s", cased_score) return uncased_score, cased_score class TransformerTask(object): def __init__(self, flags_obj): self.flags_obj = flags_obj self.predict_model = None num_gpus = flags_core.get_num_gpus(flags_obj) self.params = params = misc.get_model_params(flags_obj.param_set, num_gpus) params["num_gpus"] = num_gpus params["use_ctl"] = flags_obj.use_ctl params["data_dir"] = flags_obj.data_dir params["model_dir"] = flags_obj.model_dir params["static_batch"] = flags_obj.static_batch params["max_length"] = flags_obj.max_length params["decode_batch_size"] = flags_obj.decode_batch_size params["decode_max_length"] = flags_obj.decode_max_length params["padded_decode"] = flags_obj.padded_decode params["num_parallel_calls"] = ( flags_obj.num_parallel_calls or tf.data.experimental.AUTOTUNE) params["use_synthetic_data"] = flags_obj.use_synthetic_data params["batch_size"] = flags_obj.batch_size or params["default_batch_size"] params["repeat_dataset"] = None params["dtype"] = flags_core.get_tf_dtype(flags_obj) params["enable_tensorboard"] = flags_obj.enable_tensorboard params["enable_metrics_in_training"] = flags_obj.enable_metrics_in_training params["steps_between_evals"] = flags_obj.steps_between_evals self.distribution_strategy = distribution_utils.get_distribution_strategy( distribution_strategy=flags_obj.distribution_strategy, num_gpus=num_gpus, all_reduce_alg=flags_obj.all_reduce_alg, num_packs=flags_obj.num_packs, tpu_address=flags_obj.tpu or "") if self.use_tpu: params["num_replicas"] = self.distribution_strategy.num_replicas_in_sync if not params["static_batch"]: raise ValueError("TPU requires static batch for input data.") else: logging.info("Running transformer with num_gpus = %d", num_gpus) if self.distribution_strategy: logging.info("For training, using distribution strategy: %s", self.distribution_strategy) else: logging.info("Not using any distribution strategy.") if params["dtype"] == tf.float16: # like this. What if multiple instances of TransformerTask are created? # We should have a better way in the tf.keras.mixed_precision API of doing # this. loss_scale = flags_core.get_loss_scale( flags_obj, default_for_fp16="dynamic") policy = tf.compat.v2.keras.mixed_precision.experimental.Policy( "mixed_float16", loss_scale=loss_scale) tf.compat.v2.keras.mixed_precision.experimental.set_policy(policy) elif params["dtype"] == tf.bfloat16: policy = tf.compat.v2.keras.mixed_precision.experimental.Policy( "mixed_bfloat16") tf.compat.v2.keras.mixed_precision.experimental.set_policy(policy) @property def use_tpu(self): if self.distribution_strategy: return isinstance(self.distribution_strategy, tf.distribute.experimental.TPUStrategy) return False def train(self): params = self.params flags_obj = self.flags_obj # Sets config options. keras_utils.set_session_config(enable_xla=flags_obj.enable_xla) _ensure_dir(flags_obj.model_dir) with distribution_utils.get_strategy_scope(self.distribution_strategy): model = transformer.create_model(params, is_train=True) opt = self._create_optimizer() current_step = 0 checkpoint = tf.train.Checkpoint(model=model, optimizer=opt) latest_checkpoint = tf.train.latest_checkpoint(flags_obj.model_dir) if latest_checkpoint: checkpoint.restore(latest_checkpoint) logging.info("Loaded checkpoint %s", latest_checkpoint) current_step = opt.iterations.numpy() if params["use_ctl"]: train_loss_metric = tf.keras.metrics.Mean( "training_loss", dtype=tf.float32) if params["enable_tensorboard"]: summary_writer = tf.compat.v2.summary.create_file_writer( flags_obj.model_dir) else: summary_writer = tf.compat.v2.summary.create_noop_writer() train_metrics = [train_loss_metric] if params["enable_metrics_in_training"]: train_metrics = train_metrics + model.metrics else: model.compile(opt) model.summary() if self.use_tpu: # Different from experimental_distribute_dataset, # experimental_distribute_datasets_from_function requires # per-replica/local batch size. params["batch_size"] /= self.distribution_strategy.num_replicas_in_sync train_ds = ( self.distribution_strategy .experimental_distribute_datasets_from_function( lambda ctx: data_pipeline.train_input_fn(params, ctx))) else: train_ds = data_pipeline.train_input_fn(params) map_data_fn = data_pipeline.map_data_for_transformer_fn train_ds = train_ds.map( map_data_fn, num_parallel_calls=params["num_parallel_calls"]) if params["use_ctl"]: train_ds_iterator = iter(train_ds) callbacks = self._create_callbacks(flags_obj.model_dir, 0, params) # TODO(b/139418525): Refactor the custom training loop logic. @tf.function def train_steps(iterator, steps): def _step_fn(inputs): inputs, targets = inputs with tf.GradientTape() as tape: logits = model([inputs, targets], training=True) loss = metrics.transformer_loss(logits, targets, params["label_smoothing"], params["vocab_size"]) # Scales the loss, which results in using the average loss across all # of the replicas for backprop. scaled_loss = loss / self.distribution_strategy.num_replicas_in_sync # De-dupes variables due to keras tracking issues. tvars = list({id(v): v for v in model.trainable_variables}.values()) grads = tape.gradient(scaled_loss, tvars) opt.apply_gradients(zip(grads, tvars)) # For reporting, the metric takes the mean of losses. train_loss_metric.update_state(loss) for _ in tf.range(steps): train_loss_metric.reset_states() self.distribution_strategy.experimental_run_v2( _step_fn, args=(next(iterator),)) cased_score, uncased_score = None, None cased_score_history, uncased_score_history = [], [] while current_step < flags_obj.train_steps: remaining_steps = flags_obj.train_steps - current_step train_steps_per_eval = ( remaining_steps if remaining_steps < flags_obj.steps_between_evals else flags_obj.steps_between_evals) current_iteration = current_step // flags_obj.steps_between_evals logging.info( "Start train iteration at global step:{}".format(current_step)) history = None if params["use_ctl"]: if not self.use_tpu: raise NotImplementedError( "Custom training loop on GPUs is not implemented.") # Runs training steps. with summary_writer.as_default(): train_steps( train_ds_iterator, tf.convert_to_tensor(train_steps_per_eval, dtype=tf.int32)) current_step += train_steps_per_eval train_loss = train_loss_metric.result().numpy().astype(float) logging.info("Train Step: %d/%d / loss = %s", current_step, flags_obj.train_steps, train_loss) if params["enable_tensorboard"]: for metric_obj in train_metrics: tf.compat.v2.summary.scalar(metric_obj.name, metric_obj.result(), current_step) checkpoint_name = checkpoint.save( os.path.join(flags_obj.model_dir, "ctl_step_{}.ckpt".format(current_step))) logging.info("Saved checkpoint to %s", checkpoint_name) else: if self.use_tpu: raise NotImplementedError( "Keras model.fit on TPUs is not implemented.") history = model.fit( train_ds, initial_epoch=current_iteration, epochs=current_iteration + 1, steps_per_epoch=train_steps_per_eval, callbacks=callbacks, # If TimeHistory is enabled, progress bar would be messy. Increase # the verbose level to get rid of it. verbose=(2 if flags_obj.enable_time_history else 1)) current_step += train_steps_per_eval logging.info("Train history: {}".format(history.history)) logging.info("End train iteration at global step:{}".format(current_step)) if (flags_obj.bleu_source and flags_obj.bleu_ref): uncased_score, cased_score = self.eval() cased_score_history.append([current_iteration + 1, cased_score]) uncased_score_history.append([current_iteration + 1, uncased_score]) stats = ({ "loss": train_loss } if history is None else misc.build_stats(history, callbacks)) if uncased_score and cased_score: stats["bleu_uncased"] = uncased_score stats["bleu_cased"] = cased_score stats["bleu_uncased_history"] = uncased_score_history stats["bleu_cased_history"] = cased_score_history return stats def eval(self): distribution_strategy = self.distribution_strategy if self.use_tpu else None # We only want to create the model under DS scope for TPU case. # When 'distribution_strategy' is None, a no-op DummyContextManager will # be used. with distribution_utils.get_strategy_scope(distribution_strategy): if not self.predict_model: self.predict_model = transformer.create_model(self.params, False) self._load_weights_if_possible( self.predict_model, tf.train.latest_checkpoint(self.flags_obj.model_dir)) self.predict_model.summary() return evaluate_and_log_bleu( self.predict_model, self.params, self.flags_obj.bleu_source, self.flags_obj.bleu_ref, self.flags_obj.vocab_file, distribution_strategy) def predict(self): params = self.params flags_obj = self.flags_obj with tf.name_scope("model"): model = transformer.create_model(params, is_train=False) self._load_weights_if_possible( model, tf.train.latest_checkpoint(self.flags_obj.model_dir)) model.summary() subtokenizer = tokenizer.Subtokenizer(flags_obj.vocab_file) ds = data_pipeline.eval_input_fn(params) ds = ds.map(lambda x, y: x).take(_SINGLE_SAMPLE) ret = model.predict(ds) val_outputs, _ = ret length = len(val_outputs) for i in range(length): translate.translate_from_input(val_outputs[i], subtokenizer) def _create_callbacks(self, cur_log_dir, init_steps, params): sfunc = optimizer.LearningRateFn(params["learning_rate"], params["hidden_size"], params["learning_rate_warmup_steps"]) scheduler_callback = optimizer.LearningRateScheduler(sfunc, init_steps) callbacks = misc.get_callbacks(params["steps_between_evals"]) callbacks.append(scheduler_callback) ckpt_full_path = os.path.join(cur_log_dir, "cp-{epoch:04d}.ckpt") callbacks.append( tf.keras.callbacks.ModelCheckpoint( ckpt_full_path, save_weights_only=True)) return callbacks def _load_weights_if_possible(self, model, init_weight_path=None): if init_weight_path: logging.info("Load weights: {}".format(init_weight_path)) # TODO(b/139414977): Having the same variable restoring method for both # TPU and GPU. if self.use_tpu: checkpoint = tf.train.Checkpoint( model=model, optimizer=self._create_optimizer()) checkpoint.restore(init_weight_path) else: model.load_weights(init_weight_path) else: logging.info("Weights not loaded from path:{}".format(init_weight_path)) def _create_optimizer(self): params = self.params # TODO(b/139414679): Explore the difference between using # LearningRateSchedule and callback for GPU runs, and try to merge them. lr_schedule = optimizer.LearningRateSchedule( params["learning_rate"], params["hidden_size"], params["learning_rate_warmup_steps"]) opt = tf.keras.optimizers.Adam( lr_schedule if self.use_tpu else params["learning_rate"], params["optimizer_adam_beta1"], params["optimizer_adam_beta2"], epsilon=params["optimizer_adam_epsilon"]) if params["dtype"] == tf.float16: opt = tf.keras.mixed_precision.experimental.LossScaleOptimizer( opt, loss_scale=flags_core.get_loss_scale( self.flags_obj, default_for_fp16="dynamic")) if self.flags_obj.fp16_implementation == "graph_rewrite": # Note: when flags_obj.fp16_implementation == "graph_rewrite", dtype as # determined by flags_core.get_tf_dtype(flags_obj) would be 'float32' # which will ensure tf.compat.v2.keras.mixed_precision and # tf.train.experimental.enable_mixed_precision_graph_rewrite do not double # up. opt = tf.train.experimental.enable_mixed_precision_graph_rewrite(opt) return opt def _ensure_dir(log_dir): if not tf.io.gfile.exists(log_dir): tf.io.gfile.makedirs(log_dir) def main(_): flags_obj = flags.FLAGS with logger.benchmark_context(flags_obj): task = TransformerTask(flags_obj) # Execute flag override logic for better model performance if flags_obj.tf_gpu_thread_mode: keras_utils.set_gpu_thread_mode_and_count( per_gpu_thread_count=flags_obj.per_gpu_thread_count, gpu_thread_mode=flags_obj.tf_gpu_thread_mode, num_gpus=flags_obj.num_gpus, datasets_num_private_threads=flags_obj.datasets_num_private_threads) if flags_obj.mode == "train": task.train() elif flags_obj.mode == "predict": task.predict() elif flags_obj.mode == "eval": task.eval() else: raise ValueError("Invalid mode {}".format(flags_obj.mode)) if __name__ == "__main__": tf.compat.v1.enable_v2_behavior() logging.set_verbosity(logging.INFO) misc.define_transformer_flags() app.run(main)

true

f7f4ee40dfa5458e0e2073e838b3dde810443002

3,590

py

Python

dev/Gems/CloudGemMetric/v1/AWS/common-code/Lib/numba/hsa/tests/hsadrv/test_hlc.py

jeikabu/lumberyard

07228c605ce16cbf5aaa209a94a3cb9d6c1a4115

[ "AML" ]

8

2019-10-07T16:33:47.000Z

2020-12-07T03:59:58.000Z

dev/Gems/CloudGemMetric/v1/AWS/common-code/Lib/numba/hsa/tests/hsadrv/test_hlc.py

jeikabu/lumberyard

07228c605ce16cbf5aaa209a94a3cb9d6c1a4115

[ "AML" ]

1

2018-04-03T22:37:40.000Z

2018-04-03T23:53:43.000Z

dev/Gems/CloudGemMetric/v1/AWS/common-code/Lib/numba/hsa/tests/hsadrv/test_hlc.py

jeikabu/lumberyard

07228c605ce16cbf5aaa209a94a3cb9d6c1a4115

[ "AML" ]

5

2020-08-27T20:44:18.000Z

2021-08-21T22:54:11.000Z

from __future__ import print_function, absolute_import import numba.unittest_support as unittest from numba.hsa.hlc import hlc SPIR_SAMPLE = """ ; ModuleID = 'kernel.out.bc' target datalayout = "e-p:64:64:64-i1:8:8-i8:8:8-i16:16:16-i32:32:32-i64:64:64-f32:32:32-f64:64:64-v16:16:16-v24:32:32-v32:32:32-v48:64:64-v64:64:64-v96:128:128-v128:128:128-v192:256:256-v256:256:256-v512:512:512-v1024:1024:1024-n32" target triple = "hsail64-pc-unknown-amdopencl" define spir_kernel void @copy(float addrspace(1)* nocapture %input, float addrspace(1)* nocapture %output) { %1 = load float addrspace(1)* %input, align 4, !tbaa !8 store float %1, float addrspace(1)* %output, align 4, !tbaa !8 ret void } !opencl.kernels = !{!0} !opencl.enable.FP_CONTRACT = !{} !opencl.spir.version = !{!6} !opencl.ocl.version = !{!6} !opencl.used.extensions = !{!7} !opencl.used.optional.core.features = !{!7} !opencl.compiler.options = !{!7} !0 = metadata !{void (float addrspace(1)*, float addrspace(1)*)* @copy, metadata !1, metadata !2, metadata !3, metadata !4, metadata !5} !1 = metadata !{metadata !"kernel_arg_addr_space", i32 1, i32 1} !2 = metadata !{metadata !"kernel_arg_access_qual", metadata !"none", metadata !"none"} !3 = metadata !{metadata !"kernel_arg_type", metadata !"float*", metadata !"float*"} !4 = metadata !{metadata !"kernel_arg_type_qual", metadata !"", metadata !""} !5 = metadata !{metadata !"kernel_arg_base_type", metadata !"float*", metadata !"float*"} !6 = metadata !{i32 1, i32 2} !7 = metadata !{} !8 = metadata !{metadata !"float", metadata !9} !9 = metadata !{metadata !"omnipotent char", metadata !10} !10 = metadata !{metadata !"Simple C/C++ TBAA"} """ class TestHLC(unittest.TestCase): def test_hsail(self): hlcmod = hlc.Module() hlcmod.load_llvm(SPIR_SAMPLE) hsail = hlcmod.finalize().hsail self.assertIn("prog kernel &copy", hsail) def test_brig(self): # Genreate BRIG hlcmod = hlc.Module() hlcmod.load_llvm(SPIR_SAMPLE) brig = hlcmod.finalize().brig # Check the first 8 bytes for the magic string self.assertEqual(brig[:8].decode('latin1'), 'HSA BRIG') # Compile from numba.hsa.hsadrv.driver import BrigModule, Program, hsa, Executable agent = hsa.components[0] brigmod = BrigModule(brig) prog = Program() prog.add_module(brigmod) code = prog.finalize(agent.isa) ex = Executable() ex.load(agent, code) ex.freeze() sym = ex.get_symbol(agent, "&copy") self.assertNotEqual(sym.kernel_object, 0) self.assertGreater(sym.kernarg_segment_size, 0) # Execute import ctypes import numpy as np sig = hsa.create_signal(1) kernarg_region = [r for r in agent.regions if r.supports_kernargs][0] kernarg_types = (ctypes.c_void_p * 2) kernargs = kernarg_region.allocate(kernarg_types) src = np.random.random(1).astype(np.float32) dst = np.zeros_like(src) kernargs[0] = src.ctypes.data kernargs[1] = dst.ctypes.data hsa.hsa_memory_register(src.ctypes.data, src.nbytes) hsa.hsa_memory_register(dst.ctypes.data, dst.nbytes) hsa.hsa_memory_register(ctypes.byref(kernargs), ctypes.sizeof(kernargs)) queue = agent.create_queue_single(32) queue.dispatch(sym, kernargs, workgroup_size=(1,), grid_size=(1,)) np.testing.assert_equal(dst, src) if __name__ == '__main__': unittest.main()

35.544554

232

0.648468

from __future__ import print_function, absolute_import import numba.unittest_support as unittest from numba.hsa.hlc import hlc SPIR_SAMPLE = """ ; ModuleID = 'kernel.out.bc' target datalayout = "e-p:64:64:64-i1:8:8-i8:8:8-i16:16:16-i32:32:32-i64:64:64-f32:32:32-f64:64:64-v16:16:16-v24:32:32-v32:32:32-v48:64:64-v64:64:64-v96:128:128-v128:128:128-v192:256:256-v256:256:256-v512:512:512-v1024:1024:1024-n32" target triple = "hsail64-pc-unknown-amdopencl" define spir_kernel void @copy(float addrspace(1)* nocapture %input, float addrspace(1)* nocapture %output) { %1 = load float addrspace(1)* %input, align 4, !tbaa !8 store float %1, float addrspace(1)* %output, align 4, !tbaa !8 ret void } !opencl.kernels = !{!0} !opencl.enable.FP_CONTRACT = !{} !opencl.spir.version = !{!6} !opencl.ocl.version = !{!6} !opencl.used.extensions = !{!7} !opencl.used.optional.core.features = !{!7} !opencl.compiler.options = !{!7} !0 = metadata !{void (float addrspace(1)*, float addrspace(1)*)* @copy, metadata !1, metadata !2, metadata !3, metadata !4, metadata !5} !1 = metadata !{metadata !"kernel_arg_addr_space", i32 1, i32 1} !2 = metadata !{metadata !"kernel_arg_access_qual", metadata !"none", metadata !"none"} !3 = metadata !{metadata !"kernel_arg_type", metadata !"float*", metadata !"float*"} !4 = metadata !{metadata !"kernel_arg_type_qual", metadata !"", metadata !""} !5 = metadata !{metadata !"kernel_arg_base_type", metadata !"float*", metadata !"float*"} !6 = metadata !{i32 1, i32 2} !7 = metadata !{} !8 = metadata !{metadata !"float", metadata !9} !9 = metadata !{metadata !"omnipotent char", metadata !10} !10 = metadata !{metadata !"Simple C/C++ TBAA"} """ class TestHLC(unittest.TestCase): def test_hsail(self): hlcmod = hlc.Module() hlcmod.load_llvm(SPIR_SAMPLE) hsail = hlcmod.finalize().hsail self.assertIn("prog kernel &copy", hsail) def test_brig(self): hlcmod = hlc.Module() hlcmod.load_llvm(SPIR_SAMPLE) brig = hlcmod.finalize().brig self.assertEqual(brig[:8].decode('latin1'), 'HSA BRIG') from numba.hsa.hsadrv.driver import BrigModule, Program, hsa, Executable agent = hsa.components[0] brigmod = BrigModule(brig) prog = Program() prog.add_module(brigmod) code = prog.finalize(agent.isa) ex = Executable() ex.load(agent, code) ex.freeze() sym = ex.get_symbol(agent, "&copy") self.assertNotEqual(sym.kernel_object, 0) self.assertGreater(sym.kernarg_segment_size, 0) import ctypes import numpy as np sig = hsa.create_signal(1) kernarg_region = [r for r in agent.regions if r.supports_kernargs][0] kernarg_types = (ctypes.c_void_p * 2) kernargs = kernarg_region.allocate(kernarg_types) src = np.random.random(1).astype(np.float32) dst = np.zeros_like(src) kernargs[0] = src.ctypes.data kernargs[1] = dst.ctypes.data hsa.hsa_memory_register(src.ctypes.data, src.nbytes) hsa.hsa_memory_register(dst.ctypes.data, dst.nbytes) hsa.hsa_memory_register(ctypes.byref(kernargs), ctypes.sizeof(kernargs)) queue = agent.create_queue_single(32) queue.dispatch(sym, kernargs, workgroup_size=(1,), grid_size=(1,)) np.testing.assert_equal(dst, src) if __name__ == '__main__': unittest.main()

true

f7f4ef57a41c9f8beb69ab2a810e66283279e842

173

py

Python

answers/Nitish1702/Day3/Answer1.py

arc03/30-DaysOfCode-March-2021

6d6e11bf70280a578113f163352fa4fa8408baf6

[ "MIT" ]

22

2021-03-16T14:07:47.000Z

2021-08-13T08:52:50.000Z

answers/Nitish1702/Day3/Answer1.py

arc03/30-DaysOfCode-March-2021

6d6e11bf70280a578113f163352fa4fa8408baf6

[ "MIT" ]

174

2021-03-16T21:16:40.000Z

2021-06-12T05:19:51.000Z

answers/Nitish1702/Day3/Answer1.py

arc03/30-DaysOfCode-March-2021

6d6e11bf70280a578113f163352fa4fa8408baf6

[ "MIT" ]

135

2021-03-16T16:47:12.000Z

2021-06-27T14:22:38.000Z

n=int(input()) def series(n): a='' l=[] for i in range (1,n+1): a+=str(i) l.append(int(a)) print("Sum of the series is: ", sum(l)) series(n)

17.3

43

0.479769

n=int(input()) def series(n): a='' l=[] for i in range (1,n+1): a+=str(i) l.append(int(a)) print("Sum of the series is: ", sum(l)) series(n)

true

f7f4efa733a03d05d92269a584f852b6b755e644

48,174

py

Python

app/routes.py

deepmatters/impactflowjp

0df100aaca42204434022bf5a18ca391d2b6f554

[ "MIT" ]

null

app/routes.py

deepmatters/impactflowjp

0df100aaca42204434022bf5a18ca391d2b6f554

[ "MIT" ]

null

app/routes.py

deepmatters/impactflowjp

0df100aaca42204434022bf5a18ca391d2b6f554

[ "MIT" ]

null

from flask import render_template, redirect, url_for, flash, request, json, jsonify from flask_login import current_user, login_user, logout_user, login_required from flask_mail import Message from app import app, db, mail from app.models import User, Project, Stakeholder, Activity, Output, Outcome from app.forms import SignupForm, LoginForm, ForgetForm, PasswordChangeForm, PasswordResetForm, ProjectForm, StakeholderForm, ActivityForm, OutputForm, OutcomeForm import pymongo import random from datetime import datetime from threading import Thread import boto3 import pytz import os import ast from sqlalchemy.orm.attributes import flag_modified # Define a function to check file extension for file upload def allowed_file(filename): return '.' in filename and filename.rsplit('.', 1)[1].lower() in app.config['ALLOWED_EXTENSIONS'] # Time conversion from UTC, to be used as filter in Jinja2 # E.g. {{ user.lastlogin_dt|datetimefilter }} def datetimefilter(value, format="%d-%m-%Y %H:%M:%S"): tz = pytz.timezone('Asia/Tokyo') # timezone you want to convert to from UTC utc = pytz.timezone('UTC') value = utc.localize(value, is_dst=None).astimezone(pytz.utc) local_dt = value.astimezone(tz) return local_dt.strftime(format) app.jinja_env.filters['datetimefilter'] = datetimefilter # Defind img convert function to eval string saved in db as list # In Jinja2, when testing if having img, USE {% if db_object.img_url|length > 2 %} def img_convert(img_url): if len(img_url) > 2: # 2 mean empty bracket []. This happens when img is deleted. img_list = ast.literal_eval(img_url) img = img_list[0] # Select only the 1st img else: # If img_url is an empty bracket (len = 2), or None img = None return img app.jinja_env.filters['img_convert'] = img_convert """ Error handling Don't forget to output header page variable for each content type """ @app.errorhandler(404) def page_not_found(e): if request.path.split('/')[1] == 'project': return render_template('404.html', project=[]), 404 else: return render_template('404.html'), 404 @app.errorhandler(500) def internal_server_error(e): if request.path.split('/')[1] == 'project': print('This is 500 error from /project') return render_template('500.html', project=[]), 500 else: print('This is 500 error') return render_template('500.html'), 500 @app.route('/') def home(): if current_user.is_authenticated: projects = Project.query.filter(Project.user_id == current_user.id).order_by(Project.create_dt.desc()).all() projects_published = Project.query.filter(Project.published == True).order_by(Project.create_dt.desc()).all() projects_unpublished = Project.query.filter(Project.published == False).order_by(Project.create_dt.desc()).all() return render_template('home.html', projects=projects, projects_published=projects_published, projects_unpublished=projects_unpublished) else: projects_published = Project.query.filter(Project.published == True).order_by(Project.create_dt.desc()).all() return render_template('home.html', projects_published=projects_published) @app.route('/project-all') def project_all(): projects_published = Project.query.filter(Project.published == True).order_by(Project.create_dt.desc()).all() return render_template('project-all.html', projects_published=projects_published) @app.route('/about') def about(): return render_template('about.html') """ Login and user sub-system """ @app.route('/signup', methods=('GET', 'POST')) def signup(): if current_user.is_authenticated: return redirect(url_for('home')) form = SignupForm() if form.validate_on_submit(): # Get data from form name = form.name.data email = form.email.data password = form.password.data password_check = form.password_check.data # Check if email already exist email_exist = User.query.filter_by(email=email).first() if email_exist: comment = f"{email} このメールアドレスはすでに登録されています。" return render_template('signup-error.html', comment=comment) # Check if passwords match if password == password_check: password_final = password else: comment = "2つのパスワードが一致する必要があります。" return render_template('signup-error.html', comment=comment) # Create user with name, email, password new_user = User(name=name, email=email) new_user.set_password(password_final) db.session.add(new_user) db.session.commit() # Give confirmation, login, and redirect to profile page user = User.query.filter_by(email=form.email.data).first() login_user(user) flash("登録が完了し、すでにログインしています") return redirect('/profile') return render_template('signup.html', form=form) # Function to send mail using thread def send_async_email(app, msg): with app.app_context(): mail.send(msg) @app.route('/forget', methods=('GET', 'POST')) def forget(): form = ForgetForm() if form.validate_on_submit(): # Get data from form email = form.email.data # Check if entered email is an existing user or not user = User.query.filter_by(email=email).first() if user is None: # Return comment and error type comment = "電子メールが見つかりません。" error_type = "wrong_email" return render_template('forget-result.html', comment=comment, error_type=error_type) # If email exists, proceed to password recovery process else: # Generate password_reset_id rand_universe = [1,2,3,4,5,6,7,8,9,"a","b","c","d","e","f","g","A","B","C","D","E","F","G"] rand_str = "" rand_list = random.sample(rand_universe, k=12) password_reset_id = rand_str.join([str(i) for i in rand_list]) # Insert password_reset_id in db for this user user.password_reset_id = password_reset_id db.session.commit() # Send an email to user """ !!! MUST CUSTOMISE MESSAGE BODY IN IMPLEMENTATION !!! """ msg = Message(subject='[jp.ImpactFlow.org] パスワードの再設定', sender = 'support@cfapp.org', recipients = [email]) # <<< CONFIGURE WEBSITE URL msg.body = ("https://jp.impactflow.org/password-reset/" + password_reset_id + " 上記リンクより、パスワードの再設定をお願いします。") # <<< CONFIGURE EMAIL MESSAGE AND URL Thread(target=send_async_email, args=(app, msg)).start() # Send mail asynchronously # Return comment comment = "パスワード再設定のご案内をメールにてお送りしました。" return render_template('forget-result.html', comment=comment) return render_template('forget.html', form=form) # Password recovery API endpoint @app.route('/password-reset/<string:password_reset_id>') def password_reset(password_reset_id): # Check if password_reset_id is valid or not user = User.query.filter_by(password_reset_id=password_reset_id).first() if user is None: flash("パスワード再設定用リンクが無効、または使用されています。") return redirect('/') # If password_reset_id is valid, proceed to reset password else: form = PasswordResetForm() return render_template('password-reset.html', password_reset_id=password_reset_id, form=form) @app.route('/password-reset-result', methods=('GET', 'POST')) def password_reset_result(): form = PasswordResetForm() if form.validate_on_submit(): # Get data from form password_reset_id = form.password_reset_id.data password_new = form.password_new.data password_new_check = form.password_new_check.data # Get the user who belong to this password_reset_id user = User.query.filter_by(password_reset_id=password_reset_id).first() # Check if new passwords match each other if password_new != password_new_check: # Return comment and error type comment = "2つのパスワードが一致する必要があります。" error_type = "unmatched_password_check_reset" return render_template('password-change-result.html', comment=comment, error_type=error_type, password_reset_id=password_reset_id) # Proceed if passwords check passed else: # Generate new password hash user.set_password(password_new) # Update password_reset_id with blank string so the id can be used only this time only # and can't be used in API user.password_reset_id = "" db.session.commit() # Login user instantly login_user(user) flash("正常にログインしました") # Return comment comment = "次回から新しいパスワードでログインしてください。" return render_template('password-change-result.html', comment=comment) return render_template('password-change-result.html') @app.route('/login', methods=('GET', 'POST')) def login(): if current_user.is_authenticated: return redirect(url_for('home')) form = LoginForm() if form.validate_on_submit(): user = User.query.filter_by(email=form.email.data).first() if user is None or not user.check_password(form.password.data): return render_template('fail.html') login_user(user) # Update lastlogin_dt to the current time user.lastlogin_dt = datetime.now() db.session.commit() flash("正常にログインしました") return redirect('/') return render_template('login.html', form=form) @app.route('/logout') @login_required def logout(): logout_user() flash("正常にログアウトしました") return redirect(url_for('home')) @app.route('/password-change', methods=('GET', 'POST')) @login_required def password_change(): form = PasswordChangeForm() if form.validate_on_submit(): # Get data from form pass_current = form.password_current.data pass_new = form.password_new.data pass_new_check = form.password_new_check.data # Connect to db user = User.query.filter_by(id=current_user.id).first() # Check if current pass matches pass in db if not user.check_password(pass_current): # Return comment and error type comment = "パスワードが正しくありません。" error_type = "wrong_pass_current" return render_template('password-change-result.html', comment=comment, error_type=error_type) # Check if new passwords match each other elif pass_new != pass_new_check: # Return comment and error type comment = "2つのパスワードが一致する必要があります。" error_type = "unmatched_password_check" return render_template('password-change-result.html', comment=comment, error_type=error_type) # Proceed if 2 above checks passed else: # Generate new password hash user.set_password(pass_new) db.session.commit() # Return comment comment = "次回から新しいパスワードでログインしてください。" return render_template('password-change-result.html', comment=comment) return render_template('password-change.html', form=form) """ Profile """ @app.route('/profile') @login_required def profile(): user = User.query.filter_by(id=current_user.id).first() projects = Project.query.filter(Project.user_id == user.id).order_by(Project.create_dt.desc()).all() return render_template('profile.html', user=user, projects=projects) """ Project """ @app.route('/project-create', methods=('GET', 'POST')) @login_required def project_create(): form = ProjectForm() if request.method == 'POST': json_data = request.get_json() # Convert JSON to Python dict now = datetime.now() project = Project( user_id=current_user.id, create_dt=now, published=json_data['published'], json=json_data ) db.session.add(project) db.session.commit() flash("新規プロジェクトの作成が正常に行われました。") print(json.dumps(json_data, sort_keys=False, indent=4, ensure_ascii=False)) return redirect('/') else: return render_template('project-create.html', form=form) @app.route('/project/<int:project_id>') def project(project_id): project = Project.query.filter(Project.id == project_id).first() stakeholders = Stakeholder.query.filter(Stakeholder.project_id == project_id).order_by(Stakeholder.id.asc()).all() # Get activities for each stakeholder activities = [] for stakeholder in stakeholders: activities_raw = Activity.query.filter(Activity.stakeholder_id == stakeholder.id).order_by(Activity.id.asc()).all() for activity in activities_raw: activities.append([activity.stakeholder_id, activity]) # Get outputs for each activity outputs = [] for activity in activities: outputs_raw = Output.query.filter(Output.activity_id == activity[1].id).order_by(Output.id.asc()).all() for output in outputs_raw: outputs.append([output.activity_id, output]) # Get outcomes for each output outcomes = [] for output in outputs: outcomes_raw = Outcome.query.filter(Outcome.output_id == output[1].id).order_by(Outcome.id.asc()).all() for outcome in outcomes_raw: outcomes.append([outcome.output_id, outcome]) # Find a list of project's impact that haven't been checked in outcome stage # 1. Create a unique list of outcomes' impactCheck fields to check against project data's impact outcomes_forcheck = [] for output in outputs: outcomes_raw = Outcome.query.filter(Outcome.output_id == output[1].id).order_by(Outcome.id.asc()).all() for outcome in outcomes_raw: outcomes_forcheck.append(outcome) outcome_impact_check = [] for outcome in outcomes_forcheck: for impact in outcome.json['impactCheck']: outcome_impact_check.append(impact) outcome_impact_set = set(outcome_impact_check) # 2. Create a list of impact from project data project_impact = [] for impact in project.json['impact']: project_impact.append(impact['objective']) project_impact_set = set(project_impact) # 3. Find symetric difference between outcome_impact_set and project_impact_set impact_diff = project_impact_set.symmetric_difference(outcome_impact_set) # 4. Reorder impact diff by creating a new list against project_impact impact_diff_ordered = [] for impact in project_impact: if impact in impact_diff: impact_diff_ordered.append(impact) # Editability check editable = False if current_user.is_authenticated: if project.user_id == current_user.id or current_user.role == 'admin': editable = True # Limit the view of unpublished project to owner or admin only if project.published == False and editable == False: return render_template('owner-error.html', project=project) else: # Converting record.img_url from db to list if project.img_url: img_url_raw = project.img_url imgs = ast.literal_eval(img_url_raw) else: imgs = None return render_template('project.html', project=project, imgs=imgs, stakeholders=stakeholders, activities=activities, outputs=outputs, outcomes=outcomes, impact_diff_ordered=impact_diff_ordered, editable=editable) @app.route('/project/<int:project_id>/edit', methods=('GET', 'POST')) @login_required def project_edit(project_id): project = Project.query.filter(Project.id == project_id).first() editable = False if current_user.is_authenticated: if project.user_id == current_user.id or current_user.role == 'admin': editable = True form = ProjectForm() if request.method == 'POST': if editable: json_data = request.get_json() # Convert JSON to Python dict now = datetime.now() project.mod_user_id = current_user.id project.mod_dt = now project.published = json_data['published'] project.json = json_data db.session.commit() flash("プロジェクトの編集が正常に行われました。") print(json.dumps(json_data, sort_keys=False, indent=4, ensure_ascii=False)) return "แก้ไขโครงการสำเร็จแล้ว" else: return render_template('owner-error.html', project=project) else: if editable: data = json.dumps(project.json, sort_keys=False, indent=4, ensure_ascii=False) return render_template('project-edit.html', project=project, form=form, data=data) else: return render_template('owner-error.html', project=project) @app.route('/project/<int:project_id>/delete') @login_required def project_delete(project_id): project = Project.query.filter(Project.id == project_id).first() editable = False if current_user.is_authenticated: if project.user_id == current_user.id or current_user.role == 'admin': editable = True if editable: return render_template('project-delete.html', project=project, project_id=project_id) else: return render_template('owner-error.html', project=project) @app.route('/project/<int:project_id>/delete/confirm') @login_required def project_delete_confirm(project_id): project = Project.query.filter(Project.id == project_id).first() editable = False if current_user.is_authenticated: if project.user_id == current_user.id or current_user.role == 'admin': editable = True if editable: db.session.delete(project) db.session.commit() flash("プロジェクトを正常に削除しました。") return redirect('/') else: return render_template('owner-error.html', project=project) @app.route('/project/<int:project_id>/publish/<string:mode>') @login_required def project_share_toggle(project_id, mode): project = Project.query.filter(Project.id == project_id).first() editable = False if current_user.is_authenticated: if project.user_id == current_user.id or current_user.role == 'admin': editable = True if editable: if mode == 'on': project.json['published'] = True project.published = True flag_modified(project, "json") db.session.add(project) db.session.commit() return redirect('/project/' + str(project_id)) elif mode == 'off': project.json['published'] = False project.published = False flag_modified(project, "json") db.session.add(project) db.session.commit() return redirect('/project/' + str(project_id)) """ Stakeholder """ @app.route('/project/<int:project_id>/stakeholder-create', methods=('GET', 'POST')) @login_required def stakeholder_create(project_id): project = Project.query.filter(Project.id == project_id).first() form = StakeholderForm() editable = False if current_user.is_authenticated: if project.user_id == current_user.id or current_user.role == 'admin': editable = True if editable: if request.method == 'POST': json_data = request.get_json() # Convert JSON to Python dict now = datetime.now() stakeholder = Stakeholder( project_id=project_id, user_id=current_user.id, create_dt=now, published=json_data['published'], json=json_data ) db.session.add(stakeholder) db.session.commit() flash("ステークホルダーの新規作成が正常に行われました。") print(json.dumps(json_data, sort_keys=False, indent=4, ensure_ascii=False)) return redirect('/') else: return render_template('stakeholder-create.html', form=form, project=project) else: return render_template('owner-error.html', project=project) @app.route('/project/<int:project_id>/<int:stakeholder_id>') def stakeholder(project_id, stakeholder_id): project = Project.query.filter(Project.id == project_id).first() stakeholder = Stakeholder.query.filter(Stakeholder.id == stakeholder_id).first() activities = Activity.query.filter(Activity.stakeholder_id == stakeholder_id).order_by(Activity.create_dt.desc()).all() editable = False if current_user.is_authenticated: if stakeholder.user_id == current_user.id or current_user.role == 'admin': editable = True # Limit the view of unpublished project to owner or admin only if project.published == False and editable == False: return render_template('owner-error.html', project=project) else: return render_template('stakeholder.html', project=project, stakeholder=stakeholder, activities=activities, editable=editable) @app.route('/project/<int:project_id>/<int:stakeholder_id>/edit', methods=('GET', 'POST')) @login_required def stakeholder_edit(project_id, stakeholder_id): project = Project.query.filter(Project.id == project_id).first() stakeholder = Stakeholder.query.filter(Stakeholder.id == stakeholder_id).first() editable = False if current_user.is_authenticated: if stakeholder.user_id == current_user.id or current_user.role == 'admin': editable = True form = StakeholderForm() if request.method == 'POST': if editable: json_data = request.get_json() # Convert JSON to Python dict now = datetime.now() stakeholder.mod_user_id = current_user.id stakeholder.mod_dt = now stakeholder.published = json_data['published'] stakeholder.json = json_data db.session.commit() flash("ステークホルダーの編集が正常に行われました。") print(json.dumps(json_data, sort_keys=False, indent=4, ensure_ascii=False)) return "แก้ไขผู้มีส่วนได้เสียสำเร็จแล้ว" else: return render_template('owner-error.html', project=project) else: if editable: data = json.dumps(stakeholder.json, sort_keys=False, indent=4, ensure_ascii=False) return render_template('stakeholder-edit.html', project=project, stakeholder=stakeholder, form=form, data=data) else: return render_template('owner-error.html', project=project) @app.route('/project/<int:project_id>/<int:stakeholder_id>/delete') @login_required def stakeholder_delete(project_id, stakeholder_id): project = Project.query.filter(Project.id == project_id).first() stakeholder = Stakeholder.query.filter(Stakeholder.id == stakeholder_id).first() editable = False if current_user.is_authenticated: if stakeholder.user_id == current_user.id or current_user.role == 'admin': editable = True if editable: return render_template('stakeholder-delete.html', project=project, project_id=project_id, stakeholder=stakeholder, stakeholder_id=stakeholder_id) else: return render_template('owner-error.html', project=project) @app.route('/project/<int:project_id>/<int:stakeholder_id>/delete/confirm') @login_required def stakeholder_delete_confirm(project_id, stakeholder_id): project = Project.query.filter(Project.id == project_id).first() stakeholder = Stakeholder.query.filter(Stakeholder.id == stakeholder_id).first() editable = False if current_user.is_authenticated: if stakeholder.user_id == current_user.id or current_user.role == 'admin': editable = True if editable: db.session.delete(stakeholder) db.session.commit() flash("ステークホルダーを正常に削除しました。") return redirect('/project/' + str(project_id)) else: return render_template('owner-error.html', project=project) """ Activity """ @app.route('/project/<int:project_id>/<int:stakeholder_id>/activity-create', methods=('GET', 'POST')) @login_required def activity_create(project_id, stakeholder_id): project = Project.query.filter(Project.id == project_id).first() stakeholder = Stakeholder.query.filter(Stakeholder.id == stakeholder_id).first() form = ActivityForm() editable = False if current_user.is_authenticated: if project.user_id == current_user.id or current_user.role == 'admin': editable = True if editable: if request.method == 'POST': json_data = request.get_json() # Convert JSON to Python dict now = datetime.now() activity = Activity( stakeholder_id=stakeholder_id, user_id=current_user.id, create_dt=now, published=json_data['published'], json=json_data ) db.session.add(activity) db.session.commit() flash("新しい活動が正常に作成されました。") print(json.dumps(json_data, sort_keys=False, indent=4, ensure_ascii=False)) return redirect('/') else: return render_template('activity-create.html', form=form, project=project, stakeholder=stakeholder) else: return render_template('owner-error.html', project=project) @app.route('/project/<int:project_id>/<int:stakeholder_id>/<int:activity_id>') def activity(project_id, stakeholder_id, activity_id): project = Project.query.filter(Project.id == project_id).first() stakeholder = Stakeholder.query.filter(Stakeholder.id == stakeholder_id).first() activity = Activity.query.filter(Activity.id == activity_id).first() editable = False if current_user.is_authenticated: if activity.user_id == current_user.id or current_user.role == 'admin': editable = True # Limit the view of unpublished project to owner or admin only if project.published == False and editable == False: return render_template('owner-error.html', project=project) else: return render_template('activity.html', project=project, stakeholder=stakeholder, activity=activity, editable=editable) @app.route('/project/<int:project_id>/<int:stakeholder_id>/<int:activity_id>/edit', methods=('GET', 'POST')) @login_required def activity_edit(project_id, stakeholder_id, activity_id): project = Project.query.filter(Project.id == project_id).first() stakeholder = Stakeholder.query.filter(Stakeholder.id == stakeholder_id).first() activity = Activity.query.filter(Activity.id == activity_id).first() editable = False if current_user.is_authenticated: if activity.user_id == current_user.id or current_user.role == 'admin': editable = True form = ActivityForm() if request.method == 'POST': if editable: json_data = request.get_json() # Convert JSON to Python dict now = datetime.now() activity.mod_user_id = current_user.id activity.mod_dt = now activity.published = json_data['published'] activity.json = json_data db.session.commit() flash("活動の編集が正常に行われました。") print(json.dumps(json_data, sort_keys=False, indent=4, ensure_ascii=False)) return "แก้ไขกิจกรรมสำเร็จแล้ว" else: return render_template('owner-error.html', project=project) else: if editable: data = json.dumps(activity.json, sort_keys=False, indent=4, ensure_ascii=False) return render_template('activity-edit.html', project=project, stakeholder=stakeholder, activity=activity, form=form, data=data) else: return render_template('owner-error.html', project=project) @app.route('/project/<int:project_id>/<int:stakeholder_id>/<int:activity_id>/delete') @login_required def activity_delete(project_id, stakeholder_id, activity_id): project = Project.query.filter(Project.id == project_id).first() stakeholder = Stakeholder.query.filter(Stakeholder.id == stakeholder_id).first() activity = Activity.query.filter(Activity.id == activity_id).first() editable = False if current_user.is_authenticated: if activity.user_id == current_user.id or current_user.role == 'admin': editable = True if editable: return render_template('activity-delete.html', project=project, project_id=project_id, stakeholder=stakeholder, stakeholder_id=stakeholder_id, activity=activity, activity_id=activity_id) else: return render_template('owner-error.html', project=project) @app.route('/project/<int:project_id>/<int:stakeholder_id>/<int:activity_id>/delete/confirm') @login_required def activity_delete_confirm(project_id, stakeholder_id, activity_id): project = Project.query.filter(Project.id == project_id).first() stakeholder = Stakeholder.query.filter(Stakeholder.id == stakeholder_id).first() activity = Activity.query.filter(Activity.id == activity_id).first() editable = False if current_user.is_authenticated: if activity.user_id == current_user.id or current_user.role == 'admin': editable = True if editable: db.session.delete(activity) db.session.commit() flash("活動を正常に削除しました。") return redirect('/project/' + str(project_id)) else: return render_template('owner-error.html', project=project) """ Output """ @app.route('/project/<int:project_id>/<int:stakeholder_id>/<int:activity_id>/output-create', methods=('GET', 'POST')) @login_required def output_create(project_id, stakeholder_id, activity_id): project = Project.query.filter(Project.id == project_id).first() stakeholder = Stakeholder.query.filter(Stakeholder.id == stakeholder_id).first() activity = Activity.query.filter(Activity.id == activity_id).first() form = OutputForm() editable = False if current_user.is_authenticated: if project.user_id == current_user.id or current_user.role == 'admin': editable = True if editable: if request.method == 'POST': json_data = request.get_json() # Convert JSON to Python dict now = datetime.now() output = Output( activity_id=activity_id, user_id=current_user.id, create_dt=now, published=json_data['published'], json=json_data ) db.session.add(output) db.session.commit() flash("新規アウトプットが正常に作成されました。") print(json.dumps(json_data, sort_keys=False, indent=4, ensure_ascii=False)) return redirect('/') else: return render_template('output-create.html', form=form, project=project, stakeholder=stakeholder, activity=activity) else: return render_template('owner-error.html', project=project) @app.route('/project/<int:project_id>/<int:stakeholder_id>/<int:activity_id>/<int:output_id>') def output(project_id, stakeholder_id, activity_id, output_id): project = Project.query.filter(Project.id == project_id).first() stakeholder = Stakeholder.query.filter(Stakeholder.id == stakeholder_id).first() activity = Activity.query.filter(Activity.id == activity_id).first() output = Output.query.filter(Output.id == output_id).first() editable = False if current_user.is_authenticated: if output.user_id == current_user.id or current_user.role == 'admin': editable = True # Limit the view of unpublished project to owner or admin only if project.published == False and editable == False: return render_template('owner-error.html', project=project) else: return render_template('output.html', project=project, stakeholder=stakeholder, activity=activity, output=output, editable=editable) @app.route('/project/<int:project_id>/<int:stakeholder_id>/<int:activity_id>/<int:output_id>/edit', methods=('GET', 'POST')) @login_required def output_edit(project_id, stakeholder_id, activity_id, output_id): project = Project.query.filter(Project.id == project_id).first() stakeholder = Stakeholder.query.filter(Stakeholder.id == stakeholder_id).first() activity = Activity.query.filter(Activity.id == activity_id).first() output = Output.query.filter(Output.id == output_id).first() editable = False if current_user.is_authenticated: if output.user_id == current_user.id or current_user.role == 'admin': editable = True form = OutputForm() if request.method == 'POST': if editable: json_data = request.get_json() # Convert JSON to Python dict now = datetime.now() output.mod_user_id = current_user.id output.mod_dt = now output.published = json_data['published'] output.json = json_data db.session.commit() flash("アウトプットの編集が正常に行われました。") print(json.dumps(json_data, sort_keys=False, indent=4, ensure_ascii=False)) return "แก้ไขผลผลิตสำเร็จแล้ว" else: return render_template('owner-error.html', project=project) else: if editable: data = json.dumps(output.json, sort_keys=False, indent=4, ensure_ascii=False) return render_template('output-edit.html', project=project, stakeholder=stakeholder, activity=activity, output=output, form=form, data=data) else: return render_template('owner-error.html', project=project) @app.route('/project/<int:project_id>/<int:stakeholder_id>/<int:activity_id>/<int:output_id>/delete') @login_required def output_delete(project_id, stakeholder_id, activity_id, output_id): project = Project.query.filter(Project.id == project_id).first() stakeholder = Stakeholder.query.filter(Stakeholder.id == stakeholder_id).first() activity = Activity.query.filter(Activity.id == activity_id).first() output = Output.query.filter(Output.id == output_id).first() editable = False if current_user.is_authenticated: if output.user_id == current_user.id or current_user.role == 'admin': editable = True if editable: return render_template('output-delete.html', project=project, project_id=project_id, stakeholder=stakeholder, stakeholder_id=stakeholder_id, activity=activity, activity_id=activity_id, output=output, output_id=output_id) else: return render_template('owner-error.html', project=project) @app.route('/project/<int:project_id>/<int:stakeholder_id>/<int:activity_id>/<int:output_id>/delete/confirm') @login_required def output_delete_confirm(project_id, stakeholder_id, activity_id, output_id): project = Project.query.filter(Project.id == project_id).first() stakeholder = Stakeholder.query.filter(Stakeholder.id == stakeholder_id).first() activity = Activity.query.filter(Activity.id == activity_id).first() output = Output.query.filter(Output.id == output_id).first() editable = False if current_user.is_authenticated: if output.user_id == current_user.id or current_user.role == 'admin': editable = True if editable: db.session.delete(output) db.session.commit() flash("アウトプットが正常に削除されました。") return redirect('/project/' + str(project_id)) else: return render_template('owner-error.html', project=project) """ Outcome """ @app.route('/project/<int:project_id>/<int:stakeholder_id>/<int:activity_id>/<int:output_id>/outcome-create', methods=('GET', 'POST')) @login_required def outcome_create(project_id, stakeholder_id, activity_id, output_id): project = Project.query.filter(Project.id == project_id).first() stakeholder = Stakeholder.query.filter(Stakeholder.id == stakeholder_id).first() activity = Activity.query.filter(Activity.id == activity_id).first() output = Output.query.filter(Output.id == output_id).first() form = OutcomeForm() editable = False if current_user.is_authenticated: if project.user_id == current_user.id or current_user.role == 'admin': editable = True if editable: if request.method == 'POST': json_data = request.get_json() # Convert JSON to Python dict now = datetime.now() outcome = Outcome( output_id=output_id, user_id=current_user.id, create_dt=now, published=json_data['published'], json=json_data ) db.session.add(outcome) db.session.commit() flash("新しいアウトカムの作成が正常に行われました。") print(json.dumps(json_data, sort_keys=False, indent=4, ensure_ascii=False)) return redirect('/') else: # Dump project's json to be used for objectives check data_project = json.dumps(project.json, sort_keys=False, indent=4, ensure_ascii=False) return render_template('outcome-create.html', form=form, project=project, stakeholder=stakeholder, activity=activity, output=output, data_project=data_project) else: return render_template('owner-error.html', project=project) @app.route('/project/<int:project_id>/<int:stakeholder_id>/<int:activity_id>/<int:output_id>/<int:outcome_id>') def outcome(project_id, stakeholder_id, activity_id, output_id, outcome_id): project = Project.query.filter(Project.id == project_id).first() stakeholder = Stakeholder.query.filter(Stakeholder.id == stakeholder_id).first() activity = Activity.query.filter(Activity.id == activity_id).first() output = Output.query.filter(Output.id == output_id).first() outcome = Outcome.query.filter(Outcome.id == outcome_id).first() editable = False if current_user.is_authenticated: if outcome.user_id == current_user.id or current_user.role == 'admin': editable = True # Limit the view of unpublished project to owner or admin only if project.published == False and editable == False: return render_template('owner-error.html', project=project) else: return render_template('outcome.html', project=project, stakeholder=stakeholder, activity=activity, output=output, outcome=outcome, editable=editable) @app.route('/project/<int:project_id>/<int:stakeholder_id>/<int:activity_id>/<int:output_id>/<int:outcome_id>/edit', methods=('GET', 'POST')) @login_required def outcome_edit(project_id, stakeholder_id, activity_id, output_id, outcome_id): project = Project.query.filter(Project.id == project_id).first() stakeholder = Stakeholder.query.filter(Stakeholder.id == stakeholder_id).first() activity = Activity.query.filter(Activity.id == activity_id).first() output = Output.query.filter(Output.id == output_id).first() outcome = Outcome.query.filter(Outcome.id == outcome_id).first() editable = False if current_user.is_authenticated: if outcome.user_id == current_user.id or current_user.role == 'admin': editable = True form = OutcomeForm() if request.method == 'POST': if editable: json_data = request.get_json() # Convert JSON to Python dict now = datetime.now() outcome.mod_user_id = current_user.id outcome.mod_dt = now outcome.published = json_data['published'] outcome.json = json_data db.session.commit() flash("アウトカムの編集が正常に行われました。") print(json.dumps(json_data, sort_keys=False, indent=4, ensure_ascii=False)) return "แก้ไขผลลัพธ์สำเร็จแล้ว" else: return render_template('owner-error.html', project=project) else: if editable: data = json.dumps(outcome.json, sort_keys=False, indent=4, ensure_ascii=False) # Dump project's json to be used for objectives check data_project = json.dumps(project.json, sort_keys=False, indent=4, ensure_ascii=False) return render_template('outcome-edit.html', project=project, stakeholder=stakeholder, activity=activity, output=output, outcome=outcome, form=form, data=data, data_project=data_project) else: return render_template('owner-error.html', project=project) @app.route('/project/<int:project_id>/<int:stakeholder_id>/<int:activity_id>/<int:output_id>/<int:outcome_id>/delete') @login_required def outcome_delete(project_id, stakeholder_id, activity_id, output_id, outcome_id): project = Project.query.filter(Project.id == project_id).first() stakeholder = Stakeholder.query.filter(Stakeholder.id == stakeholder_id).first() activity = Activity.query.filter(Activity.id == activity_id).first() output = Output.query.filter(Output.id == output_id).first() outcome = Outcome.query.filter(Outcome.id == outcome_id).first() editable = False if current_user.is_authenticated: if outcome.user_id == current_user.id or current_user.role == 'admin': editable = True if editable: return render_template('outcome-delete.html', project=project, project_id=project_id, stakeholder=stakeholder, stakeholder_id=stakeholder_id, activity=activity, activity_id=activity_id, output=output, output_id=output_id, outcome=outcome, outcome_id=outcome_id) else: return render_template('owner-error.html', project=project) @app.route('/project/<int:project_id>/<int:stakeholder_id>/<int:activity_id>/<int:output_id>/<int:outcome_id>/delete/confirm') @login_required def outcome_delete_confirm(project_id, stakeholder_id, activity_id, output_id, outcome_id): project = Project.query.filter(Project.id == project_id).first() stakeholder = Stakeholder.query.filter(Stakeholder.id == stakeholder_id).first() activity = Activity.query.filter(Activity.id == activity_id).first() output = Output.query.filter(Output.id == output_id).first() outcome = Outcome.query.filter(Outcome.id == outcome_id).first() editable = False if current_user.is_authenticated: if outcome.user_id == current_user.id or current_user.role == 'admin': editable = True if editable: db.session.delete(outcome) db.session.commit() flash("結果を正常に削除しました。") return redirect('/project/' + str(project_id)) else: return render_template('owner-error.html', project=project) """ File uploader """ @app.route('/project/<int:project_id>/upload') def project_upload(project_id): form = ProjectForm() project = Project.query.filter(Project.id == project_id).first() editable = False if current_user.is_authenticated: if project.user_id == current_user.id or current_user.role == 'admin': editable = True if editable: return render_template('upload.html', form=form, project=project) else: return render_template('owner-error.html', project=project) @app.route('/project/<int:project_id>/file-post', methods=('GET', 'POST')) def file_post(project_id): if request.method == 'POST': files = request.files.getlist("file") if files: file_num = 0 file_uploaded_num = 0 file_list = [] status = [] for file in files: file_num += 1 file_uploaded_name = file.filename print(f"To upload: {file_uploaded_name}") # Upload file filename if allowed_file(file_uploaded_name): file_uploaded_num += 1 # Local and S3 folder, S3 bucket name """CUSTOMISE LOCAL/S3 FOLDERS AND S3 BUCKET HERE""" local_folder = "project-img" s3_bucket_folder = "project-img" s3_bucket = "impactflowjp" # Standardise file filename """CUSTOMISE FILE NAME TEMPLATE HERE""" file_name = "project-" + str(project_id) + "-" + str(file_uploaded_num) + os.path.splitext(file_uploaded_name)[1] # Upload to server. NEED app.route_path FOR os.path.join TO WORK file.save(os.path.join(app.root_path, 'static/' + local_folder, file_name)) # Upload to S3 s3_destination = (s3_bucket_folder + '/' + file_name) s3_testmultiupload = boto3.resource('s3').Bucket(s3_bucket) s3_testmultiupload.upload_file( Filename=os.path.join(app.root_path, 'static/' + local_folder, file_name), Key=s3_destination, ExtraArgs={'ContentType': 'image/jpeg', 'ACL': 'public-read'} ) print(f"Uploaded: {file_uploaded_name}") # Generate file URL file_url = 'https://' + s3_bucket + '.s3.ap-northeast-1.amazonaws.com/' + s3_bucket_folder + '/' + file_name # Append each file URL to file_list file_list.append(file_url) # Append info of each file to status, to be returned as JSON status.append({ "uploadStatus": True, "uploadedFileId": file_uploaded_num, "uploadedOriginalName": file_uploaded_name, "uploadedUpdatedName": file_name, "fileUrl": file_url }) else: status.append({ "uploadStatus": False, "uploadedFileId": 0, "uploadedOriginalName": file_uploaded_name, "uploadedUpdatedName": 0 }) print(f"DB file list: {file_list}") return jsonify(status) else: return jsonify({"status": "no file uploaded"}) @app.route('/project/<int:project_id>/file-save', methods=('GET', 'POST')) def file_save(project_id): if request.method == 'POST': # Get request JSON and parse as dict file_url_list = request.get_json() print(file_url_list) """ SAVE TO DB HERE. Before saving, don't forget to convert file_url_list to string, then recover using ast function """ project = Project.query.filter(Project.id == project_id).first() project.img_url = str(file_url_list) db.session.commit() return jsonify(file_url_list) """ Indicator bank management """ @app.route('/indicator/view') @login_required def indicator_view(): editable = False if current_user.is_authenticated: if current_user.role == 'admin': # Admin only editable = True if editable: # Connect and define the database client = pymongo.MongoClient(app.config['DB_URI']) mongodb = client.impactflowjp indicators = mongodb.indicator.find({}) return render_template('indicator-view.html', indicators=indicators) else: return render_template('owner-error.html', project=project) """ Search """ @app.route('/indicator/api', methods=('GET', 'POST')) def indicator_api(): if request.method == 'GET': # Connect and define the database client = pymongo.MongoClient(app.config['DB_URI']) mongodb = client.impactflowjp indicators = [] for result in mongodb.indicator.find({}): indicators.append({ "category": result['category'], "subcategory": result['Sub-category'], "indicator": result['indicator'], "source": result['source'], "content": result['Sub-category'] + " : " + result['indicator'] + " (" + result['source'] + ")" }) return jsonify(indicators)

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from flask import render_template, redirect, url_for, flash, request, json, jsonify from flask_login import current_user, login_user, logout_user, login_required from flask_mail import Message from app import app, db, mail from app.models import User, Project, Stakeholder, Activity, Output, Outcome from app.forms import SignupForm, LoginForm, ForgetForm, PasswordChangeForm, PasswordResetForm, ProjectForm, StakeholderForm, ActivityForm, OutputForm, OutcomeForm import pymongo import random from datetime import datetime from threading import Thread import boto3 import pytz import os import ast from sqlalchemy.orm.attributes import flag_modified def allowed_file(filename): return '.' in filename and filename.rsplit('.', 1)[1].lower() in app.config['ALLOWED_EXTENSIONS'] def datetimefilter(value, format="%d-%m-%Y %H:%M:%S"): tz = pytz.timezone('Asia/Tokyo') utc = pytz.timezone('UTC') value = utc.localize(value, is_dst=None).astimezone(pytz.utc) local_dt = value.astimezone(tz) return local_dt.strftime(format) app.jinja_env.filters['datetimefilter'] = datetimefilter def img_convert(img_url): if len(img_url) > 2: img_list = ast.literal_eval(img_url) img = img_list[0] else: img = None return img app.jinja_env.filters['img_convert'] = img_convert @app.errorhandler(404) def page_not_found(e): if request.path.split('/')[1] == 'project': return render_template('404.html', project=[]), 404 else: return render_template('404.html'), 404 @app.errorhandler(500) def internal_server_error(e): if request.path.split('/')[1] == 'project': print('This is 500 error from /project') return render_template('500.html', project=[]), 500 else: print('This is 500 error') return render_template('500.html'), 500 @app.route('/') def home(): if current_user.is_authenticated: projects = Project.query.filter(Project.user_id == current_user.id).order_by(Project.create_dt.desc()).all() projects_published = Project.query.filter(Project.published == True).order_by(Project.create_dt.desc()).all() projects_unpublished = Project.query.filter(Project.published == False).order_by(Project.create_dt.desc()).all() return render_template('home.html', projects=projects, projects_published=projects_published, projects_unpublished=projects_unpublished) else: projects_published = Project.query.filter(Project.published == True).order_by(Project.create_dt.desc()).all() return render_template('home.html', projects_published=projects_published) @app.route('/project-all') def project_all(): projects_published = Project.query.filter(Project.published == True).order_by(Project.create_dt.desc()).all() return render_template('project-all.html', projects_published=projects_published) @app.route('/about') def about(): return render_template('about.html') @app.route('/signup', methods=('GET', 'POST')) def signup(): if current_user.is_authenticated: return redirect(url_for('home')) form = SignupForm() if form.validate_on_submit(): name = form.name.data email = form.email.data password = form.password.data password_check = form.password_check.data email_exist = User.query.filter_by(email=email).first() if email_exist: comment = f"{email} このメールアドレスはすでに登録されています。" return render_template('signup-error.html', comment=comment) if password == password_check: password_final = password else: comment = "2つのパスワードが一致する必要があります。" return render_template('signup-error.html', comment=comment) new_user = User(name=name, email=email) new_user.set_password(password_final) db.session.add(new_user) db.session.commit() user = User.query.filter_by(email=form.email.data).first() login_user(user) flash("登録が完了し、すでにログインしています") return redirect('/profile') return render_template('signup.html', form=form) def send_async_email(app, msg): with app.app_context(): mail.send(msg) @app.route('/forget', methods=('GET', 'POST')) def forget(): form = ForgetForm() if form.validate_on_submit(): email = form.email.data user = User.query.filter_by(email=email).first() if user is None: comment = "電子メールが見つかりません。" error_type = "wrong_email" return render_template('forget-result.html', comment=comment, error_type=error_type) else: rand_universe = [1,2,3,4,5,6,7,8,9,"a","b","c","d","e","f","g","A","B","C","D","E","F","G"] rand_str = "" rand_list = random.sample(rand_universe, k=12) password_reset_id = rand_str.join([str(i) for i in rand_list]) user.password_reset_id = password_reset_id db.session.commit() """ !!! MUST CUSTOMISE MESSAGE BODY IN IMPLEMENTATION !!! """ msg = Message(subject='[jp.ImpactFlow.org] パスワードの再設定', sender = 'support@cfapp.org', recipients = [email]) msg.body = ("https://jp.impactflow.org/password-reset/" + password_reset_id + " 上記リンクより、パスワードの再設定をお願いします。") Thread(target=send_async_email, args=(app, msg)).start() comment = "パスワード再設定のご案内をメールにてお送りしました。" return render_template('forget-result.html', comment=comment) return render_template('forget.html', form=form) @app.route('/password-reset/<string:password_reset_id>') def password_reset(password_reset_id): user = User.query.filter_by(password_reset_id=password_reset_id).first() if user is None: flash("パスワード再設定用リンクが無効、または使用されています。") return redirect('/') else: form = PasswordResetForm() return render_template('password-reset.html', password_reset_id=password_reset_id, form=form) @app.route('/password-reset-result', methods=('GET', 'POST')) def password_reset_result(): form = PasswordResetForm() if form.validate_on_submit(): password_reset_id = form.password_reset_id.data password_new = form.password_new.data password_new_check = form.password_new_check.data user = User.query.filter_by(password_reset_id=password_reset_id).first() if password_new != password_new_check: comment = "2つのパスワードが一致する必要があります。" error_type = "unmatched_password_check_reset" return render_template('password-change-result.html', comment=comment, error_type=error_type, password_reset_id=password_reset_id) else: user.set_password(password_new) user.password_reset_id = "" db.session.commit() # Login user instantly login_user(user) flash("正常にログインしました") # Return comment comment = "次回から新しいパスワードでログインしてください。" return render_template('password-change-result.html', comment=comment) return render_template('password-change-result.html') @app.route('/login', methods=('GET', 'POST')) def login(): if current_user.is_authenticated: return redirect(url_for('home')) form = LoginForm() if form.validate_on_submit(): user = User.query.filter_by(email=form.email.data).first() if user is None or not user.check_password(form.password.data): return render_template('fail.html') login_user(user) # Update lastlogin_dt to the current time user.lastlogin_dt = datetime.now() db.session.commit() flash("正常にログインしました") return redirect('/') return render_template('login.html', form=form) @app.route('/logout') @login_required def logout(): logout_user() flash("正常にログアウトしました") return redirect(url_for('home')) @app.route('/password-change', methods=('GET', 'POST')) @login_required def password_change(): form = PasswordChangeForm() if form.validate_on_submit(): # Get data from form pass_current = form.password_current.data pass_new = form.password_new.data pass_new_check = form.password_new_check.data # Connect to db user = User.query.filter_by(id=current_user.id).first() # Check if current pass matches pass in db if not user.check_password(pass_current): # Return comment and error type comment = "パスワードが正しくありません。" error_type = "wrong_pass_current" return render_template('password-change-result.html', comment=comment, error_type=error_type) # Check if new passwords match each other elif pass_new != pass_new_check: # Return comment and error type comment = "2つのパスワードが一致する必要があります。" error_type = "unmatched_password_check" return render_template('password-change-result.html', comment=comment, error_type=error_type) # Proceed if 2 above checks passed else: # Generate new password hash user.set_password(pass_new) db.session.commit() # Return comment comment = "次回から新しいパスワードでログインしてください。" return render_template('password-change-result.html', comment=comment) return render_template('password-change.html', form=form) @app.route('/profile') @login_required def profile(): user = User.query.filter_by(id=current_user.id).first() projects = Project.query.filter(Project.user_id == user.id).order_by(Project.create_dt.desc()).all() return render_template('profile.html', user=user, projects=projects) @app.route('/project-create', methods=('GET', 'POST')) @login_required def project_create(): form = ProjectForm() if request.method == 'POST': json_data = request.get_json() # Convert JSON to Python dict now = datetime.now() project = Project( user_id=current_user.id, create_dt=now, published=json_data['published'], json=json_data ) db.session.add(project) db.session.commit() flash("新規プロジェクトの作成が正常に行われました。") print(json.dumps(json_data, sort_keys=False, indent=4, ensure_ascii=False)) return redirect('/') else: return render_template('project-create.html', form=form) @app.route('/project/<int:project_id>') def project(project_id): project = Project.query.filter(Project.id == project_id).first() stakeholders = Stakeholder.query.filter(Stakeholder.project_id == project_id).order_by(Stakeholder.id.asc()).all() # Get activities for each stakeholder activities = [] for stakeholder in stakeholders: activities_raw = Activity.query.filter(Activity.stakeholder_id == stakeholder.id).order_by(Activity.id.asc()).all() for activity in activities_raw: activities.append([activity.stakeholder_id, activity]) # Get outputs for each activity outputs = [] for activity in activities: outputs_raw = Output.query.filter(Output.activity_id == activity[1].id).order_by(Output.id.asc()).all() for output in outputs_raw: outputs.append([output.activity_id, output]) # Get outcomes for each output outcomes = [] for output in outputs: outcomes_raw = Outcome.query.filter(Outcome.output_id == output[1].id).order_by(Outcome.id.asc()).all() for outcome in outcomes_raw: outcomes.append([outcome.output_id, outcome]) # Find a list of project's impact that haven't been checked in outcome stage # 1. Create a unique list of outcomes' impactCheck fields to check against project data's impact outcomes_forcheck = [] for output in outputs: outcomes_raw = Outcome.query.filter(Outcome.output_id == output[1].id).order_by(Outcome.id.asc()).all() for outcome in outcomes_raw: outcomes_forcheck.append(outcome) outcome_impact_check = [] for outcome in outcomes_forcheck: for impact in outcome.json['impactCheck']: outcome_impact_check.append(impact) outcome_impact_set = set(outcome_impact_check) # 2. Create a list of impact from project data project_impact = [] for impact in project.json['impact']: project_impact.append(impact['objective']) project_impact_set = set(project_impact) # 3. Find symetric difference between outcome_impact_set and project_impact_set impact_diff = project_impact_set.symmetric_difference(outcome_impact_set) # 4. Reorder impact diff by creating a new list against project_impact impact_diff_ordered = [] for impact in project_impact: if impact in impact_diff: impact_diff_ordered.append(impact) # Editability check editable = False if current_user.is_authenticated: if project.user_id == current_user.id or current_user.role == 'admin': editable = True # Limit the view of unpublished project to owner or admin only if project.published == False and editable == False: return render_template('owner-error.html', project=project) else: # Converting record.img_url from db to list if project.img_url: img_url_raw = project.img_url imgs = ast.literal_eval(img_url_raw) else: imgs = None return render_template('project.html', project=project, imgs=imgs, stakeholders=stakeholders, activities=activities, outputs=outputs, outcomes=outcomes, impact_diff_ordered=impact_diff_ordered, editable=editable) @app.route('/project/<int:project_id>/edit', methods=('GET', 'POST')) @login_required def project_edit(project_id): project = Project.query.filter(Project.id == project_id).first() editable = False if current_user.is_authenticated: if project.user_id == current_user.id or current_user.role == 'admin': editable = True form = ProjectForm() if request.method == 'POST': if editable: json_data = request.get_json() # Convert JSON to Python dict now = datetime.now() project.mod_user_id = current_user.id project.mod_dt = now project.published = json_data['published'] project.json = json_data db.session.commit() flash("プロジェクトの編集が正常に行われました。") print(json.dumps(json_data, sort_keys=False, indent=4, ensure_ascii=False)) return "แก้ไขโครงการสำเร็จแล้ว" else: return render_template('owner-error.html', project=project) else: if editable: data = json.dumps(project.json, sort_keys=False, indent=4, ensure_ascii=False) return render_template('project-edit.html', project=project, form=form, data=data) else: return render_template('owner-error.html', project=project) @app.route('/project/<int:project_id>/delete') @login_required def project_delete(project_id): project = Project.query.filter(Project.id == project_id).first() editable = False if current_user.is_authenticated: if project.user_id == current_user.id or current_user.role == 'admin': editable = True if editable: return render_template('project-delete.html', project=project, project_id=project_id) else: return render_template('owner-error.html', project=project) @app.route('/project/<int:project_id>/delete/confirm') @login_required def project_delete_confirm(project_id): project = Project.query.filter(Project.id == project_id).first() editable = False if current_user.is_authenticated: if project.user_id == current_user.id or current_user.role == 'admin': editable = True if editable: db.session.delete(project) db.session.commit() flash("プロジェクトを正常に削除しました。") return redirect('/') else: return render_template('owner-error.html', project=project) @app.route('/project/<int:project_id>/publish/<string:mode>') @login_required def project_share_toggle(project_id, mode): project = Project.query.filter(Project.id == project_id).first() editable = False if current_user.is_authenticated: if project.user_id == current_user.id or current_user.role == 'admin': editable = True if editable: if mode == 'on': project.json['published'] = True project.published = True flag_modified(project, "json") db.session.add(project) db.session.commit() return redirect('/project/' + str(project_id)) elif mode == 'off': project.json['published'] = False project.published = False flag_modified(project, "json") db.session.add(project) db.session.commit() return redirect('/project/' + str(project_id)) @app.route('/project/<int:project_id>/stakeholder-create', methods=('GET', 'POST')) @login_required def stakeholder_create(project_id): project = Project.query.filter(Project.id == project_id).first() form = StakeholderForm() editable = False if current_user.is_authenticated: if project.user_id == current_user.id or current_user.role == 'admin': editable = True if editable: if request.method == 'POST': json_data = request.get_json() # Convert JSON to Python dict now = datetime.now() stakeholder = Stakeholder( project_id=project_id, user_id=current_user.id, create_dt=now, published=json_data['published'], json=json_data ) db.session.add(stakeholder) db.session.commit() flash("ステークホルダーの新規作成が正常に行われました。") print(json.dumps(json_data, sort_keys=False, indent=4, ensure_ascii=False)) return redirect('/') else: return render_template('stakeholder-create.html', form=form, project=project) else: return render_template('owner-error.html', project=project) @app.route('/project/<int:project_id>/<int:stakeholder_id>') def stakeholder(project_id, stakeholder_id): project = Project.query.filter(Project.id == project_id).first() stakeholder = Stakeholder.query.filter(Stakeholder.id == stakeholder_id).first() activities = Activity.query.filter(Activity.stakeholder_id == stakeholder_id).order_by(Activity.create_dt.desc()).all() editable = False if current_user.is_authenticated: if stakeholder.user_id == current_user.id or current_user.role == 'admin': editable = True # Limit the view of unpublished project to owner or admin only if project.published == False and editable == False: return render_template('owner-error.html', project=project) else: return render_template('stakeholder.html', project=project, stakeholder=stakeholder, activities=activities, editable=editable) @app.route('/project/<int:project_id>/<int:stakeholder_id>/edit', methods=('GET', 'POST')) @login_required def stakeholder_edit(project_id, stakeholder_id): project = Project.query.filter(Project.id == project_id).first() stakeholder = Stakeholder.query.filter(Stakeholder.id == stakeholder_id).first() editable = False if current_user.is_authenticated: if stakeholder.user_id == current_user.id or current_user.role == 'admin': editable = True form = StakeholderForm() if request.method == 'POST': if editable: json_data = request.get_json() # Convert JSON to Python dict now = datetime.now() stakeholder.mod_user_id = current_user.id stakeholder.mod_dt = now stakeholder.published = json_data['published'] stakeholder.json = json_data db.session.commit() flash("ステークホルダーの編集が正常に行われました。") print(json.dumps(json_data, sort_keys=False, indent=4, ensure_ascii=False)) return "แก้ไขผู้มีส่วนได้เสียสำเร็จแล้ว" else: return render_template('owner-error.html', project=project) else: if editable: data = json.dumps(stakeholder.json, sort_keys=False, indent=4, ensure_ascii=False) return render_template('stakeholder-edit.html', project=project, stakeholder=stakeholder, form=form, data=data) else: return render_template('owner-error.html', project=project) @app.route('/project/<int:project_id>/<int:stakeholder_id>/delete') @login_required def stakeholder_delete(project_id, stakeholder_id): project = Project.query.filter(Project.id == project_id).first() stakeholder = Stakeholder.query.filter(Stakeholder.id == stakeholder_id).first() editable = False if current_user.is_authenticated: if stakeholder.user_id == current_user.id or current_user.role == 'admin': editable = True if editable: return render_template('stakeholder-delete.html', project=project, project_id=project_id, stakeholder=stakeholder, stakeholder_id=stakeholder_id) else: return render_template('owner-error.html', project=project) @app.route('/project/<int:project_id>/<int:stakeholder_id>/delete/confirm') @login_required def stakeholder_delete_confirm(project_id, stakeholder_id): project = Project.query.filter(Project.id == project_id).first() stakeholder = Stakeholder.query.filter(Stakeholder.id == stakeholder_id).first() editable = False if current_user.is_authenticated: if stakeholder.user_id == current_user.id or current_user.role == 'admin': editable = True if editable: db.session.delete(stakeholder) db.session.commit() flash("ステークホルダーを正常に削除しました。") return redirect('/project/' + str(project_id)) else: return render_template('owner-error.html', project=project) @app.route('/project/<int:project_id>/<int:stakeholder_id>/activity-create', methods=('GET', 'POST')) @login_required def activity_create(project_id, stakeholder_id): project = Project.query.filter(Project.id == project_id).first() stakeholder = Stakeholder.query.filter(Stakeholder.id == stakeholder_id).first() form = ActivityForm() editable = False if current_user.is_authenticated: if project.user_id == current_user.id or current_user.role == 'admin': editable = True if editable: if request.method == 'POST': json_data = request.get_json() # Convert JSON to Python dict now = datetime.now() activity = Activity( stakeholder_id=stakeholder_id, user_id=current_user.id, create_dt=now, published=json_data['published'], json=json_data ) db.session.add(activity) db.session.commit() flash("新しい活動が正常に作成されました。") print(json.dumps(json_data, sort_keys=False, indent=4, ensure_ascii=False)) return redirect('/') else: return render_template('activity-create.html', form=form, project=project, stakeholder=stakeholder) else: return render_template('owner-error.html', project=project) @app.route('/project/<int:project_id>/<int:stakeholder_id>/<int:activity_id>') def activity(project_id, stakeholder_id, activity_id): project = Project.query.filter(Project.id == project_id).first() stakeholder = Stakeholder.query.filter(Stakeholder.id == stakeholder_id).first() activity = Activity.query.filter(Activity.id == activity_id).first() editable = False if current_user.is_authenticated: if activity.user_id == current_user.id or current_user.role == 'admin': editable = True # Limit the view of unpublished project to owner or admin only if project.published == False and editable == False: return render_template('owner-error.html', project=project) else: return render_template('activity.html', project=project, stakeholder=stakeholder, activity=activity, editable=editable) @app.route('/project/<int:project_id>/<int:stakeholder_id>/<int:activity_id>/edit', methods=('GET', 'POST')) @login_required def activity_edit(project_id, stakeholder_id, activity_id): project = Project.query.filter(Project.id == project_id).first() stakeholder = Stakeholder.query.filter(Stakeholder.id == stakeholder_id).first() activity = Activity.query.filter(Activity.id == activity_id).first() editable = False if current_user.is_authenticated: if activity.user_id == current_user.id or current_user.role == 'admin': editable = True form = ActivityForm() if request.method == 'POST': if editable: json_data = request.get_json() # Convert JSON to Python dict now = datetime.now() activity.mod_user_id = current_user.id activity.mod_dt = now activity.published = json_data['published'] activity.json = json_data db.session.commit() flash("活動の編集が正常に行われました。") print(json.dumps(json_data, sort_keys=False, indent=4, ensure_ascii=False)) return "แก้ไขกิจกรรมสำเร็จแล้ว" else: return render_template('owner-error.html', project=project) else: if editable: data = json.dumps(activity.json, sort_keys=False, indent=4, ensure_ascii=False) return render_template('activity-edit.html', project=project, stakeholder=stakeholder, activity=activity, form=form, data=data) else: return render_template('owner-error.html', project=project) @app.route('/project/<int:project_id>/<int:stakeholder_id>/<int:activity_id>/delete') @login_required def activity_delete(project_id, stakeholder_id, activity_id): project = Project.query.filter(Project.id == project_id).first() stakeholder = Stakeholder.query.filter(Stakeholder.id == stakeholder_id).first() activity = Activity.query.filter(Activity.id == activity_id).first() editable = False if current_user.is_authenticated: if activity.user_id == current_user.id or current_user.role == 'admin': editable = True if editable: return render_template('activity-delete.html', project=project, project_id=project_id, stakeholder=stakeholder, stakeholder_id=stakeholder_id, activity=activity, activity_id=activity_id) else: return render_template('owner-error.html', project=project) @app.route('/project/<int:project_id>/<int:stakeholder_id>/<int:activity_id>/delete/confirm') @login_required def activity_delete_confirm(project_id, stakeholder_id, activity_id): project = Project.query.filter(Project.id == project_id).first() stakeholder = Stakeholder.query.filter(Stakeholder.id == stakeholder_id).first() activity = Activity.query.filter(Activity.id == activity_id).first() editable = False if current_user.is_authenticated: if activity.user_id == current_user.id or current_user.role == 'admin': editable = True if editable: db.session.delete(activity) db.session.commit() flash("活動を正常に削除しました。") return redirect('/project/' + str(project_id)) else: return render_template('owner-error.html', project=project) @app.route('/project/<int:project_id>/<int:stakeholder_id>/<int:activity_id>/output-create', methods=('GET', 'POST')) @login_required def output_create(project_id, stakeholder_id, activity_id): project = Project.query.filter(Project.id == project_id).first() stakeholder = Stakeholder.query.filter(Stakeholder.id == stakeholder_id).first() activity = Activity.query.filter(Activity.id == activity_id).first() form = OutputForm() editable = False if current_user.is_authenticated: if project.user_id == current_user.id or current_user.role == 'admin': editable = True if editable: if request.method == 'POST': json_data = request.get_json() # Convert JSON to Python dict now = datetime.now() output = Output( activity_id=activity_id, user_id=current_user.id, create_dt=now, published=json_data['published'], json=json_data ) db.session.add(output) db.session.commit() flash("新規アウトプットが正常に作成されました。") print(json.dumps(json_data, sort_keys=False, indent=4, ensure_ascii=False)) return redirect('/') else: return render_template('output-create.html', form=form, project=project, stakeholder=stakeholder, activity=activity) else: return render_template('owner-error.html', project=project) @app.route('/project/<int:project_id>/<int:stakeholder_id>/<int:activity_id>/<int:output_id>') def output(project_id, stakeholder_id, activity_id, output_id): project = Project.query.filter(Project.id == project_id).first() stakeholder = Stakeholder.query.filter(Stakeholder.id == stakeholder_id).first() activity = Activity.query.filter(Activity.id == activity_id).first() output = Output.query.filter(Output.id == output_id).first() editable = False if current_user.is_authenticated: if output.user_id == current_user.id or current_user.role == 'admin': editable = True # Limit the view of unpublished project to owner or admin only if project.published == False and editable == False: return render_template('owner-error.html', project=project) else: return render_template('output.html', project=project, stakeholder=stakeholder, activity=activity, output=output, editable=editable) @app.route('/project/<int:project_id>/<int:stakeholder_id>/<int:activity_id>/<int:output_id>/edit', methods=('GET', 'POST')) @login_required def output_edit(project_id, stakeholder_id, activity_id, output_id): project = Project.query.filter(Project.id == project_id).first() stakeholder = Stakeholder.query.filter(Stakeholder.id == stakeholder_id).first() activity = Activity.query.filter(Activity.id == activity_id).first() output = Output.query.filter(Output.id == output_id).first() editable = False if current_user.is_authenticated: if output.user_id == current_user.id or current_user.role == 'admin': editable = True form = OutputForm() if request.method == 'POST': if editable: json_data = request.get_json() # Convert JSON to Python dict now = datetime.now() output.mod_user_id = current_user.id output.mod_dt = now output.published = json_data['published'] output.json = json_data db.session.commit() flash("アウトプットの編集が正常に行われました。") print(json.dumps(json_data, sort_keys=False, indent=4, ensure_ascii=False)) return "แก้ไขผลผลิตสำเร็จแล้ว" else: return render_template('owner-error.html', project=project) else: if editable: data = json.dumps(output.json, sort_keys=False, indent=4, ensure_ascii=False) return render_template('output-edit.html', project=project, stakeholder=stakeholder, activity=activity, output=output, form=form, data=data) else: return render_template('owner-error.html', project=project) @app.route('/project/<int:project_id>/<int:stakeholder_id>/<int:activity_id>/<int:output_id>/delete') @login_required def output_delete(project_id, stakeholder_id, activity_id, output_id): project = Project.query.filter(Project.id == project_id).first() stakeholder = Stakeholder.query.filter(Stakeholder.id == stakeholder_id).first() activity = Activity.query.filter(Activity.id == activity_id).first() output = Output.query.filter(Output.id == output_id).first() editable = False if current_user.is_authenticated: if output.user_id == current_user.id or current_user.role == 'admin': editable = True if editable: return render_template('output-delete.html', project=project, project_id=project_id, stakeholder=stakeholder, stakeholder_id=stakeholder_id, activity=activity, activity_id=activity_id, output=output, output_id=output_id) else: return render_template('owner-error.html', project=project) @app.route('/project/<int:project_id>/<int:stakeholder_id>/<int:activity_id>/<int:output_id>/delete/confirm') @login_required def output_delete_confirm(project_id, stakeholder_id, activity_id, output_id): project = Project.query.filter(Project.id == project_id).first() stakeholder = Stakeholder.query.filter(Stakeholder.id == stakeholder_id).first() activity = Activity.query.filter(Activity.id == activity_id).first() output = Output.query.filter(Output.id == output_id).first() editable = False if current_user.is_authenticated: if output.user_id == current_user.id or current_user.role == 'admin': editable = True if editable: db.session.delete(output) db.session.commit() flash("アウトプットが正常に削除されました。") return redirect('/project/' + str(project_id)) else: return render_template('owner-error.html', project=project) @app.route('/project/<int:project_id>/<int:stakeholder_id>/<int:activity_id>/<int:output_id>/outcome-create', methods=('GET', 'POST')) @login_required def outcome_create(project_id, stakeholder_id, activity_id, output_id): project = Project.query.filter(Project.id == project_id).first() stakeholder = Stakeholder.query.filter(Stakeholder.id == stakeholder_id).first() activity = Activity.query.filter(Activity.id == activity_id).first() output = Output.query.filter(Output.id == output_id).first() form = OutcomeForm() editable = False if current_user.is_authenticated: if project.user_id == current_user.id or current_user.role == 'admin': editable = True if editable: if request.method == 'POST': json_data = request.get_json() # Convert JSON to Python dict now = datetime.now() outcome = Outcome( output_id=output_id, user_id=current_user.id, create_dt=now, published=json_data['published'], json=json_data ) db.session.add(outcome) db.session.commit() flash("新しいアウトカムの作成が正常に行われました。") print(json.dumps(json_data, sort_keys=False, indent=4, ensure_ascii=False)) return redirect('/') else: # Dump project's json to be used for objectives check data_project = json.dumps(project.json, sort_keys=False, indent=4, ensure_ascii=False) return render_template('outcome-create.html', form=form, project=project, stakeholder=stakeholder, activity=activity, output=output, data_project=data_project) else: return render_template('owner-error.html', project=project) @app.route('/project/<int:project_id>/<int:stakeholder_id>/<int:activity_id>/<int:output_id>/<int:outcome_id>') def outcome(project_id, stakeholder_id, activity_id, output_id, outcome_id): project = Project.query.filter(Project.id == project_id).first() stakeholder = Stakeholder.query.filter(Stakeholder.id == stakeholder_id).first() activity = Activity.query.filter(Activity.id == activity_id).first() output = Output.query.filter(Output.id == output_id).first() outcome = Outcome.query.filter(Outcome.id == outcome_id).first() editable = False if current_user.is_authenticated: if outcome.user_id == current_user.id or current_user.role == 'admin': editable = True if project.published == False and editable == False: return render_template('owner-error.html', project=project) else: return render_template('outcome.html', project=project, stakeholder=stakeholder, activity=activity, output=output, outcome=outcome, editable=editable) @app.route('/project/<int:project_id>/<int:stakeholder_id>/<int:activity_id>/<int:output_id>/<int:outcome_id>/edit', methods=('GET', 'POST')) @login_required def outcome_edit(project_id, stakeholder_id, activity_id, output_id, outcome_id): project = Project.query.filter(Project.id == project_id).first() stakeholder = Stakeholder.query.filter(Stakeholder.id == stakeholder_id).first() activity = Activity.query.filter(Activity.id == activity_id).first() output = Output.query.filter(Output.id == output_id).first() outcome = Outcome.query.filter(Outcome.id == outcome_id).first() editable = False if current_user.is_authenticated: if outcome.user_id == current_user.id or current_user.role == 'admin': editable = True form = OutcomeForm() if request.method == 'POST': if editable: json_data = request.get_json() now = datetime.now() outcome.mod_user_id = current_user.id outcome.mod_dt = now outcome.published = json_data['published'] outcome.json = json_data db.session.commit() flash("アウトカムの編集が正常に行われました。") print(json.dumps(json_data, sort_keys=False, indent=4, ensure_ascii=False)) return "แก้ไขผลลัพธ์สำเร็จแล้ว" else: return render_template('owner-error.html', project=project) else: if editable: data = json.dumps(outcome.json, sort_keys=False, indent=4, ensure_ascii=False) data_project = json.dumps(project.json, sort_keys=False, indent=4, ensure_ascii=False) return render_template('outcome-edit.html', project=project, stakeholder=stakeholder, activity=activity, output=output, outcome=outcome, form=form, data=data, data_project=data_project) else: return render_template('owner-error.html', project=project) @app.route('/project/<int:project_id>/<int:stakeholder_id>/<int:activity_id>/<int:output_id>/<int:outcome_id>/delete') @login_required def outcome_delete(project_id, stakeholder_id, activity_id, output_id, outcome_id): project = Project.query.filter(Project.id == project_id).first() stakeholder = Stakeholder.query.filter(Stakeholder.id == stakeholder_id).first() activity = Activity.query.filter(Activity.id == activity_id).first() output = Output.query.filter(Output.id == output_id).first() outcome = Outcome.query.filter(Outcome.id == outcome_id).first() editable = False if current_user.is_authenticated: if outcome.user_id == current_user.id or current_user.role == 'admin': editable = True if editable: return render_template('outcome-delete.html', project=project, project_id=project_id, stakeholder=stakeholder, stakeholder_id=stakeholder_id, activity=activity, activity_id=activity_id, output=output, output_id=output_id, outcome=outcome, outcome_id=outcome_id) else: return render_template('owner-error.html', project=project) @app.route('/project/<int:project_id>/<int:stakeholder_id>/<int:activity_id>/<int:output_id>/<int:outcome_id>/delete/confirm') @login_required def outcome_delete_confirm(project_id, stakeholder_id, activity_id, output_id, outcome_id): project = Project.query.filter(Project.id == project_id).first() stakeholder = Stakeholder.query.filter(Stakeholder.id == stakeholder_id).first() activity = Activity.query.filter(Activity.id == activity_id).first() output = Output.query.filter(Output.id == output_id).first() outcome = Outcome.query.filter(Outcome.id == outcome_id).first() editable = False if current_user.is_authenticated: if outcome.user_id == current_user.id or current_user.role == 'admin': editable = True if editable: db.session.delete(outcome) db.session.commit() flash("結果を正常に削除しました。") return redirect('/project/' + str(project_id)) else: return render_template('owner-error.html', project=project) @app.route('/project/<int:project_id>/upload') def project_upload(project_id): form = ProjectForm() project = Project.query.filter(Project.id == project_id).first() editable = False if current_user.is_authenticated: if project.user_id == current_user.id or current_user.role == 'admin': editable = True if editable: return render_template('upload.html', form=form, project=project) else: return render_template('owner-error.html', project=project) @app.route('/project/<int:project_id>/file-post', methods=('GET', 'POST')) def file_post(project_id): if request.method == 'POST': files = request.files.getlist("file") if files: file_num = 0 file_uploaded_num = 0 file_list = [] status = [] for file in files: file_num += 1 file_uploaded_name = file.filename print(f"To upload: {file_uploaded_name}") # Upload file filename if allowed_file(file_uploaded_name): file_uploaded_num += 1 # Local and S3 folder, S3 bucket name local_folder = "project-img" s3_bucket_folder = "project-img" s3_bucket = "impactflowjp" # Standardise file filename file_name = "project-" + str(project_id) + "-" + str(file_uploaded_num) + os.path.splitext(file_uploaded_name)[1] # Upload to server. NEED app.route_path FOR os.path.join TO WORK file.save(os.path.join(app.root_path, 'static/' + local_folder, file_name)) # Upload to S3 s3_destination = (s3_bucket_folder + '/' + file_name) s3_testmultiupload = boto3.resource('s3').Bucket(s3_bucket) s3_testmultiupload.upload_file( Filename=os.path.join(app.root_path, 'static/' + local_folder, file_name), Key=s3_destination, ExtraArgs={'ContentType': 'image/jpeg', 'ACL': 'public-read'} ) print(f"Uploaded: {file_uploaded_name}") # Generate file URL file_url = 'https://' + s3_bucket + '.s3.ap-northeast-1.amazonaws.com/' + s3_bucket_folder + '/' + file_name # Append each file URL to file_list file_list.append(file_url) # Append info of each file to status, to be returned as JSON status.append({ "uploadStatus": True, "uploadedFileId": file_uploaded_num, "uploadedOriginalName": file_uploaded_name, "uploadedUpdatedName": file_name, "fileUrl": file_url }) else: status.append({ "uploadStatus": False, "uploadedFileId": 0, "uploadedOriginalName": file_uploaded_name, "uploadedUpdatedName": 0 }) print(f"DB file list: {file_list}") return jsonify(status) else: return jsonify({"status": "no file uploaded"}) @app.route('/project/<int:project_id>/file-save', methods=('GET', 'POST')) def file_save(project_id): if request.method == 'POST': # Get request JSON and parse as dict file_url_list = request.get_json() print(file_url_list) project = Project.query.filter(Project.id == project_id).first() project.img_url = str(file_url_list) db.session.commit() return jsonify(file_url_list) @app.route('/indicator/view') @login_required def indicator_view(): editable = False if current_user.is_authenticated: if current_user.role == 'admin': # Admin only editable = True if editable: # Connect and define the database client = pymongo.MongoClient(app.config['DB_URI']) mongodb = client.impactflowjp indicators = mongodb.indicator.find({}) return render_template('indicator-view.html', indicators=indicators) else: return render_template('owner-error.html', project=project) @app.route('/indicator/api', methods=('GET', 'POST')) def indicator_api(): if request.method == 'GET': # Connect and define the database client = pymongo.MongoClient(app.config['DB_URI']) mongodb = client.impactflowjp indicators = [] for result in mongodb.indicator.find({}): indicators.append({ "category": result['category'], "subcategory": result['Sub-category'], "indicator": result['indicator'], "source": result['source'], "content": result['Sub-category'] + " : " + result['indicator'] + " (" + result['source'] + ")" }) return jsonify(indicators)

true

f7f4efe85a0fc60243e9ad471ae14f11b921d19c

705

py

Python

network.py

internetlab-br/acompanhamento_candidatos

a3d0e9f38e9af6dadc2daada6d3778b11f94ffc3

[ "MIT" ]

13

2018-08-17T16:07:05.000Z

2021-01-29T22:12:56.000Z

network.py

jvsouto/acompanhamento_candidatos

a3d0e9f38e9af6dadc2daada6d3778b11f94ffc3

[ "MIT" ]

null

network.py

jvsouto/acompanhamento_candidatos

a3d0e9f38e9af6dadc2daada6d3778b11f94ffc3

[ "MIT" ]

3

2018-08-07T01:15:41.000Z

2018-10-27T08:16:22.000Z

import database import re import csv from collections import Counter db = database.conecta_banco() cursor = db.cursor() sql = "SELECT * FROM bolso_tweets.Tweets where query = \" \";" # adicione qualquer query usada na captura cursor.execute(sql) lista = cursor.fetchall() db.close() with open('retweets.csv', 'w', newline="\n") as csvfile: spamwriter = csv.writer(csvfile, delimiter=',', quotechar='|', quoting=csv.QUOTE_MINIMAL) spamwriter.writerow(["source", "target", "start", "end"]) for tweet in lista: result = re.search('RT @(.*?):', tweet[1]) if result: spamwriter.writerow([tweet[3], result.group(1), tweet[2], tweet[2]])

28.2

105

0.636879

import database import re import csv from collections import Counter db = database.conecta_banco() cursor = db.cursor() sql = "SELECT * FROM bolso_tweets.Tweets where query = \" \";" cursor.execute(sql) lista = cursor.fetchall() db.close() with open('retweets.csv', 'w', newline="\n") as csvfile: spamwriter = csv.writer(csvfile, delimiter=',', quotechar='|', quoting=csv.QUOTE_MINIMAL) spamwriter.writerow(["source", "target", "start", "end"]) for tweet in lista: result = re.search('RT @(.*?):', tweet[1]) if result: spamwriter.writerow([tweet[3], result.group(1), tweet[2], tweet[2]])

true

f7f4f1c975fd7fa80dd1cddb334975763cf94e79

962

py

Python

ambari-server/src/main/resources/stack-hooks/before-RESTART/scripts/hook.py

likenamehaojie/Apache-Ambari-ZH

5973025bd694cdbb4b49fb4c4e0d774782811ff6

[ "Apache-2.0" ]

1,664

2015-01-03T09:35:21.000Z

2022-03-31T04:55:24.000Z

ambari-server/src/main/resources/stack-hooks/before-RESTART/scripts/hook.py

likenamehaojie/Apache-Ambari-ZH

5973025bd694cdbb4b49fb4c4e0d774782811ff6

[ "Apache-2.0" ]

3,018

2015-02-19T20:16:10.000Z

2021-11-13T20:47:48.000Z

ambari-server/src/main/resources/stack-hooks/before-RESTART/scripts/hook.py

likenamehaojie/Apache-Ambari-ZH

5973025bd694cdbb4b49fb4c4e0d774782811ff6

[ "Apache-2.0" ]

1,673

2015-01-06T14:14:42.000Z

2022-03-31T07:22:30.000Z

""" 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 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 in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. """ from resource_management import Hook class BeforeRestartHook(Hook): def hook(self, env): self.run_custom_hook('before-START') if __name__ == "__main__": BeforeRestartHook().execute()

31.032258

72

0.781705

from resource_management import Hook class BeforeRestartHook(Hook): def hook(self, env): self.run_custom_hook('before-START') if __name__ == "__main__": BeforeRestartHook().execute()

true

f7f4f430cb779958a5c1c44da764f6eccfdb9707

4,633

py

Python

qa/rpc-tests/signrawtransactions.py

scalow2/gechcoin

7ff9a68c7cb3d19a2c73ae1004fe78c6da0ea716

[ "MIT" ]

null

qa/rpc-tests/signrawtransactions.py

scalow2/gechcoin

7ff9a68c7cb3d19a2c73ae1004fe78c6da0ea716

[ "MIT" ]

null

qa/rpc-tests/signrawtransactions.py

scalow2/gechcoin

7ff9a68c7cb3d19a2c73ae1004fe78c6da0ea716

[ "MIT" ]

null

#!/usr/bin/env python3 # Copyright (c) 2015-2016 The GECH Core developers # Distributed under the MIT software license, see the accompanying # file COPYING or http://www.opensource.org/licenses/mit-license.php. from test_framework.test_framework import BitcoinTestFramework from test_framework.util import * class SignRawTransactionsTest(BitcoinTestFramework): """Tests transaction signing via RPC command "signrawtransaction".""" def setup_chain(self): print('Initializing test directory ' + self.options.tmpdir) initialize_chain_clean(self.options.tmpdir, 1) def setup_network(self, split=False): self.nodes = start_nodes(1, self.options.tmpdir) self.is_network_split = False def successful_signing_test(self): """Creates and signs a valid raw transaction with one input. Expected results: 1) The transaction has a complete set of signatures 2) No script verification error occurred""" privKeys = ['cUeKHd5orzT3mz8P9pxyREHfsWtVfgsfDjiZZBcjUBAaGk1BTj7N'] inputs = [ # Valid pay-to-pubkey script {'txid': '9b907ef1e3c26fc71fe4a4b3580bc75264112f95050014157059c736f0202e71', 'vout': 0, 'scriptPubKey': '76a91460baa0f494b38ce3c940dea67f3804dc52d1fb9488ac'} ] outputs = {'mpLQjfK79b7CCV4VMJWEWAj5Mpx8Up5zxB': 0.1} rawTx = self.nodes[0].createrawtransaction(inputs, outputs) rawTxSigned = self.nodes[0].signrawtransaction(rawTx, inputs, privKeys) # 1) The transaction has a complete set of signatures assert 'complete' in rawTxSigned assert_equal(rawTxSigned['complete'], True) # 2) No script verification error occurred assert 'errors' not in rawTxSigned def script_verification_error_test(self): """Creates and signs a raw transaction with valid (vin 0), invalid (vin 1) and one missing (vin 2) input script. Expected results: 3) The transaction has no complete set of signatures 4) Two script verification errors occurred 5) Script verification errors have certain properties ("txid", "vout", "scriptSig", "sequence", "error") 6) The verification errors refer to the invalid (vin 1) and missing input (vin 2)""" privKeys = ['cUeKHd5orzT3mz8P9pxyREHfsWtVfgsfDjiZZBcjUBAaGk1BTj7N'] inputs = [ # Valid pay-to-pubkey script {'txid': '9b907ef1e3c26fc71fe4a4b3580bc75264112f95050014157059c736f0202e71', 'vout': 0}, # Invalid script {'txid': '5b8673686910442c644b1f4993d8f7753c7c8fcb5c87ee40d56eaeef25204547', 'vout': 7}, # Missing scriptPubKey {'txid': '9b907ef1e3c26fc71fe4a4b3580bc75264112f95050014157059c736f0202e71', 'vout': 1}, ] scripts = [ # Valid pay-to-pubkey script {'txid': '9b907ef1e3c26fc71fe4a4b3580bc75264112f95050014157059c736f0202e71', 'vout': 0, 'scriptPubKey': '76a91460baa0f494b38ce3c940dea67f3804dc52d1fb9488ac'}, # Invalid script {'txid': '5b8673686910442c644b1f4993d8f7753c7c8fcb5c87ee40d56eaeef25204547', 'vout': 7, 'scriptPubKey': 'badbadbadbad'} ] outputs = {'mpLQjfK79b7CCV4VMJWEWAj5Mpx8Up5zxB': 0.1} rawTx = self.nodes[0].createrawtransaction(inputs, outputs) rawTxSigned = self.nodes[0].signrawtransaction(rawTx, scripts, privKeys) # 3) The transaction has no complete set of signatures assert 'complete' in rawTxSigned assert_equal(rawTxSigned['complete'], False) # 4) Two script verification errors occurred assert 'errors' in rawTxSigned assert_equal(len(rawTxSigned['errors']), 2) # 5) Script verification errors have certain properties assert 'txid' in rawTxSigned['errors'][0] assert 'vout' in rawTxSigned['errors'][0] assert 'scriptSig' in rawTxSigned['errors'][0] assert 'sequence' in rawTxSigned['errors'][0] assert 'error' in rawTxSigned['errors'][0] # 6) The verification errors refer to the invalid (vin 1) and missing input (vin 2) assert_equal(rawTxSigned['errors'][0]['txid'], inputs[1]['txid']) assert_equal(rawTxSigned['errors'][0]['vout'], inputs[1]['vout']) assert_equal(rawTxSigned['errors'][1]['txid'], inputs[2]['txid']) assert_equal(rawTxSigned['errors'][1]['vout'], inputs[2]['vout']) def run_test(self): self.successful_signing_test() self.script_verification_error_test() if __name__ == '__main__': SignRawTransactionsTest().main()

42.118182

120

0.677531

from test_framework.test_framework import BitcoinTestFramework from test_framework.util import * class SignRawTransactionsTest(BitcoinTestFramework): def setup_chain(self): print('Initializing test directory ' + self.options.tmpdir) initialize_chain_clean(self.options.tmpdir, 1) def setup_network(self, split=False): self.nodes = start_nodes(1, self.options.tmpdir) self.is_network_split = False def successful_signing_test(self): privKeys = ['cUeKHd5orzT3mz8P9pxyREHfsWtVfgsfDjiZZBcjUBAaGk1BTj7N'] inputs = [ {'txid': '9b907ef1e3c26fc71fe4a4b3580bc75264112f95050014157059c736f0202e71', 'vout': 0, 'scriptPubKey': '76a91460baa0f494b38ce3c940dea67f3804dc52d1fb9488ac'} ] outputs = {'mpLQjfK79b7CCV4VMJWEWAj5Mpx8Up5zxB': 0.1} rawTx = self.nodes[0].createrawtransaction(inputs, outputs) rawTxSigned = self.nodes[0].signrawtransaction(rawTx, inputs, privKeys) assert 'complete' in rawTxSigned assert_equal(rawTxSigned['complete'], True) assert 'errors' not in rawTxSigned def script_verification_error_test(self): privKeys = ['cUeKHd5orzT3mz8P9pxyREHfsWtVfgsfDjiZZBcjUBAaGk1BTj7N'] inputs = [ {'txid': '9b907ef1e3c26fc71fe4a4b3580bc75264112f95050014157059c736f0202e71', 'vout': 0}, {'txid': '5b8673686910442c644b1f4993d8f7753c7c8fcb5c87ee40d56eaeef25204547', 'vout': 7}, {'txid': '9b907ef1e3c26fc71fe4a4b3580bc75264112f95050014157059c736f0202e71', 'vout': 1}, ] scripts = [ {'txid': '9b907ef1e3c26fc71fe4a4b3580bc75264112f95050014157059c736f0202e71', 'vout': 0, 'scriptPubKey': '76a91460baa0f494b38ce3c940dea67f3804dc52d1fb9488ac'}, {'txid': '5b8673686910442c644b1f4993d8f7753c7c8fcb5c87ee40d56eaeef25204547', 'vout': 7, 'scriptPubKey': 'badbadbadbad'} ] outputs = {'mpLQjfK79b7CCV4VMJWEWAj5Mpx8Up5zxB': 0.1} rawTx = self.nodes[0].createrawtransaction(inputs, outputs) rawTxSigned = self.nodes[0].signrawtransaction(rawTx, scripts, privKeys) assert 'complete' in rawTxSigned assert_equal(rawTxSigned['complete'], False) assert 'errors' in rawTxSigned assert_equal(len(rawTxSigned['errors']), 2) assert 'txid' in rawTxSigned['errors'][0] assert 'vout' in rawTxSigned['errors'][0] assert 'scriptSig' in rawTxSigned['errors'][0] assert 'sequence' in rawTxSigned['errors'][0] assert 'error' in rawTxSigned['errors'][0] assert_equal(rawTxSigned['errors'][0]['txid'], inputs[1]['txid']) assert_equal(rawTxSigned['errors'][0]['vout'], inputs[1]['vout']) assert_equal(rawTxSigned['errors'][1]['txid'], inputs[2]['txid']) assert_equal(rawTxSigned['errors'][1]['vout'], inputs[2]['vout']) def run_test(self): self.successful_signing_test() self.script_verification_error_test() if __name__ == '__main__': SignRawTransactionsTest().main()

true

f7f4f68f9502a5f8e328ff746bf39d85acb31396

1,936

py

Python

recognition/arcface_paddle/deploy/pdserving/web_service.py

qaz734913414/insightface

4101fe608ca1d38604a23d53f32314ce8a28fe79

[ "MIT" ]

1

2022-01-12T04:15:51.000Z

recognition/arcface_paddle/deploy/pdserving/web_service.py

qaz734913414/insightface

4101fe608ca1d38604a23d53f32314ce8a28fe79

[ "MIT" ]

1

2021-12-02T05:22:27.000Z

2021-12-02T05:23:11.000Z

recognition/arcface_paddle/deploy/pdserving/web_service.py

qaz734913414/insightface

4101fe608ca1d38604a23d53f32314ce8a28fe79

[ "MIT" ]

1

2022-02-10T04:19:05.000Z

# Copyright (c) 2021 PaddlePaddle Authors. 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 required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from paddle_serving_server.web_service import WebService, Op import numpy as np import cv2 import base64 class ArcFaceOp(Op): def init_op(self): pass def preprocess(self, input_dicts, data_id, log_id): (_, input_dict), = input_dicts.items() data = base64.b64decode(input_dict["image"]) data = np.frombuffer(data, np.uint8) # Note: class variables(self.var) can only be used in process op mode img = cv2.imdecode(data, cv2.IMREAD_COLOR) img = cv2.resize(img,(112,112)) # normalize to mean 0.5, std 0.5 img = (img - 127.5) * 0.00784313725 # BGR2RGB img = img[:, :, ::-1] img = img.transpose((2, 0, 1)) img = np.expand_dims(img, 0) img = img.astype('float32') return {"x":img.copy()}, False, None, "" def postprocess(self, input_dicts, fetch_dict, log_id): out = fetch_dict["save_infer_model/scale_0.tmp_1"] out_dict = {"out": out} return out_dict, None, "" class ArcFaceService(WebService): def get_pipeline_response(self, read_op): arcface_op = ArcFaceOp(name="ArcFace", input_ops=[read_op]) return arcface_op arcface_service = ArcFaceService(name="ArcFace") arcface_service.prepare_pipeline_config("config.yml") arcface_service.run_service()

35.2

77

0.682335

from paddle_serving_server.web_service import WebService, Op import numpy as np import cv2 import base64 class ArcFaceOp(Op): def init_op(self): pass def preprocess(self, input_dicts, data_id, log_id): (_, input_dict), = input_dicts.items() data = base64.b64decode(input_dict["image"]) data = np.frombuffer(data, np.uint8) img = cv2.imdecode(data, cv2.IMREAD_COLOR) img = cv2.resize(img,(112,112)) img = (img - 127.5) * 0.00784313725 img = img[:, :, ::-1] img = img.transpose((2, 0, 1)) img = np.expand_dims(img, 0) img = img.astype('float32') return {"x":img.copy()}, False, None, "" def postprocess(self, input_dicts, fetch_dict, log_id): out = fetch_dict["save_infer_model/scale_0.tmp_1"] out_dict = {"out": out} return out_dict, None, "" class ArcFaceService(WebService): def get_pipeline_response(self, read_op): arcface_op = ArcFaceOp(name="ArcFace", input_ops=[read_op]) return arcface_op arcface_service = ArcFaceService(name="ArcFace") arcface_service.prepare_pipeline_config("config.yml") arcface_service.run_service()

true

f7f4f6a5d626554e5319c3ee7f24cd379fb2c8fa

22,595

py

Python

pyscf/pbc/mp/kmp2.py

seunghoonlee89/pyscf-ecCC-TCC

2091566fb83c1474e40bf74f271be2ce4611f60c

[ "Apache-2.0" ]

2

2021-09-17T06:10:17.000Z

2022-01-22T23:37:22.000Z

pyscf/pbc/mp/kmp2.py

r-peng/pyscf

9a14f9bcc63bc75f5939cb4d00eb47861d8d8989

[ "Apache-2.0" ]

null

pyscf/pbc/mp/kmp2.py

r-peng/pyscf

9a14f9bcc63bc75f5939cb4d00eb47861d8d8989

[ "Apache-2.0" ]

2

2021-09-16T23:37:42.000Z

2021-10-14T23:00:39.000Z

#!/usr/bin/env python # Copyright 2014-2018 The PySCF Developers. 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 required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # # Author: Timothy Berkelbach <tim.berkelbach@gmail.com> # James McClain <jdmcclain47@gmail.com> # ''' kpoint-adapted and spin-adapted MP2 t2[i,j,a,b] = <ij|ab> / D_ij^ab t2 and eris are never stored in full, only a partial eri of size (nkpts,nocc,nocc,nvir,nvir) ''' import time import numpy as np from scipy.linalg import block_diag from pyscf import lib from pyscf.lib import logger, einsum from pyscf.mp import mp2 from pyscf.pbc.lib import kpts_helper from pyscf.lib.parameters import LARGE_DENOM from pyscf import __config__ WITH_T2 = getattr(__config__, 'mp_mp2_with_t2', True) def kernel(mp, mo_energy, mo_coeff, verbose=logger.NOTE, with_t2=WITH_T2): nmo = mp.nmo nocc = mp.nocc nvir = nmo - nocc nkpts = mp.nkpts eia = np.zeros((nocc,nvir)) eijab = np.zeros((nocc,nocc,nvir,nvir)) fao2mo = mp._scf.with_df.ao2mo kconserv = mp.khelper.kconserv emp2 = 0. oovv_ij = np.zeros((nkpts,nocc,nocc,nvir,nvir), dtype=mo_coeff[0].dtype) mo_e_o = [mo_energy[k][:nocc] for k in range(nkpts)] mo_e_v = [mo_energy[k][nocc:] for k in range(nkpts)] # Get location of non-zero/padded elements in occupied and virtual space nonzero_opadding, nonzero_vpadding = padding_k_idx(mp, kind="split") if with_t2: t2 = np.zeros((nkpts, nkpts, nkpts, nocc, nocc, nvir, nvir), dtype=complex) else: t2 = None for ki in range(nkpts): for kj in range(nkpts): for ka in range(nkpts): kb = kconserv[ki,ka,kj] orbo_i = mo_coeff[ki][:,:nocc] orbo_j = mo_coeff[kj][:,:nocc] orbv_a = mo_coeff[ka][:,nocc:] orbv_b = mo_coeff[kb][:,nocc:] oovv_ij[ka] = fao2mo((orbo_i,orbv_a,orbo_j,orbv_b), (mp.kpts[ki],mp.kpts[ka],mp.kpts[kj],mp.kpts[kb]), compact=False).reshape(nocc,nvir,nocc,nvir).transpose(0,2,1,3) / nkpts for ka in range(nkpts): kb = kconserv[ki,ka,kj] # Remove zero/padded elements from denominator eia = LARGE_DENOM * np.ones((nocc, nvir), dtype=mo_energy[0].dtype) n0_ovp_ia = np.ix_(nonzero_opadding[ki], nonzero_vpadding[ka]) eia[n0_ovp_ia] = (mo_e_o[ki][:,None] - mo_e_v[ka])[n0_ovp_ia] ejb = LARGE_DENOM * np.ones((nocc, nvir), dtype=mo_energy[0].dtype) n0_ovp_jb = np.ix_(nonzero_opadding[kj], nonzero_vpadding[kb]) ejb[n0_ovp_jb] = (mo_e_o[kj][:,None] - mo_e_v[kb])[n0_ovp_jb] eijab = lib.direct_sum('ia,jb->ijab',eia,ejb) t2_ijab = np.conj(oovv_ij[ka]/eijab) if with_t2: t2[ki, kj, ka] = t2_ijab woovv = 2*oovv_ij[ka] - oovv_ij[kb].transpose(0,1,3,2) emp2 += np.einsum('ijab,ijab', t2_ijab, woovv).real emp2 /= nkpts return emp2, t2 def _padding_k_idx(nmo, nocc, kind="split"): """A convention used for padding vectors, matrices and tensors in case when occupation numbers depend on the k-point index. Args: nmo (Iterable): k-dependent orbital number; nocc (Iterable): k-dependent occupation numbers; kind (str): either "split" (occupied and virtual spaces are split) or "joint" (occupied and virtual spaces are the joint; Returns: Two lists corresponding to the occupied and virtual spaces for kind="split". Each list contains integer arrays with indexes pointing to actual non-zero entries in the padded vector/matrix/tensor. If kind="joint", a single list of arrays is returned corresponding to the entire MO space. """ if kind not in ("split", "joint"): raise ValueError("The 'kind' argument must be one of 'split', 'joint'") if kind == "split": indexes_o = [] indexes_v = [] else: indexes = [] nocc = np.array(nocc) nmo = np.array(nmo) nvirt = nmo - nocc dense_o = np.amax(nocc) dense_v = np.amax(nvirt) dense_nmo = dense_o + dense_v for k_o, k_nmo in zip(nocc, nmo): k_v = k_nmo - k_o if kind == "split": indexes_o.append(np.arange(k_o)) indexes_v.append(np.arange(dense_v - k_v, dense_v)) else: indexes.append(np.concatenate(( np.arange(k_o), np.arange(dense_nmo - k_v, dense_nmo), ))) if kind == "split": return indexes_o, indexes_v else: return indexes def padding_k_idx(mp, kind="split"): """A convention used for padding vectors, matrices and tensors in case when occupation numbers depend on the k-point index. This implementation stores k-dependent Fock and other matrix in dense arrays with additional dimensions corresponding to k-point indexes. In case when the occupation numbers depend on the k-point index (i.e. a metal) or when some k-points have more Bloch basis functions than others the corresponding data structure has to be padded with entries that are not used (fictitious occupied and virtual degrees of freedom). Current convention stores these states at the Fermi level as shown in the following example. +----+--------+--------+--------+ | | k=0 | k=1 | k=2 | | +--------+--------+--------+ | | nocc=2 | nocc=3 | nocc=2 | | | nvir=4 | nvir=3 | nvir=3 | +====+========+========+========+ | v3 | k0v3 | k1v2 | k2v2 | +----+--------+--------+--------+ | v2 | k0v2 | k1v1 | k2v1 | +----+--------+--------+--------+ | v1 | k0v1 | k1v0 | k2v0 | +----+--------+--------+--------+ | v0 | k0v0 | | | +====+========+========+========+ | Fermi level | +====+========+========+========+ | o2 | | k1o2 | | +----+--------+--------+--------+ | o1 | k0o1 | k1o1 | k2o1 | +----+--------+--------+--------+ | o0 | k0o0 | k1o0 | k2o0 | +----+--------+--------+--------+ In the above example, `get_nmo(mp, per_kpoint=True) == (6, 6, 5)`, `get_nocc(mp, per_kpoint) == (2, 3, 2)`. The resulting dense `get_nmo(mp) == 7` and `get_nocc(mp) == 3` correspond to padded dimensions. This function will return the following indexes corresponding to the filled entries of the above table: >>> padding_k_idx(mp, kind="split") ([(0, 1), (0, 1, 2), (0, 1)], [(0, 1, 2, 3), (1, 2, 3), (1, 2, 3)]) >>> padding_k_idx(mp, kind="joint") [(0, 1, 3, 4, 5, 6), (0, 1, 2, 4, 5, 6), (0, 1, 4, 5, 6)] Args: mp (:class:`MP2`): An instantiation of an SCF or post-Hartree-Fock object. kind (str): either "split" (occupied and virtual spaces are split) or "joint" (occupied and virtual spaces are the joint; Returns: Two lists corresponding to the occupied and virtual spaces for kind="split". Each list contains integer arrays with indexes pointing to actual non-zero entries in the padded vector/matrix/tensor. If kind="joint", a single list of arrays is returned corresponding to the entire MO space. """ return _padding_k_idx(mp.get_nmo(per_kpoint=True), mp.get_nocc(per_kpoint=True), kind=kind) def padded_mo_energy(mp, mo_energy): """ Pads energies of active MOs. Args: mp (:class:`MP2`): An instantiation of an SCF or post-Hartree-Fock object. mo_energy (ndarray): original non-padded molecular energies; Returns: Padded molecular energies. """ frozen_mask = get_frozen_mask(mp) padding_convention = padding_k_idx(mp, kind="joint") nkpts = mp.nkpts result = np.zeros((nkpts, mp.nmo), dtype=mo_energy[0].dtype) for k in range(nkpts): result[np.ix_([k], padding_convention[k])] = mo_energy[k][frozen_mask[k]] return result def padded_mo_coeff(mp, mo_coeff): """ Pads coefficients of active MOs. Args: mp (:class:`MP2`): An instantiation of an SCF or post-Hartree-Fock object. mo_coeff (ndarray): original non-padded molecular coefficients; Returns: Padded molecular coefficients. """ frozen_mask = get_frozen_mask(mp) padding_convention = padding_k_idx(mp, kind="joint") nkpts = mp.nkpts result = np.zeros((nkpts, mo_coeff[0].shape[0], mp.nmo), dtype=mo_coeff[0].dtype) for k in range(nkpts): result[np.ix_([k], np.arange(result.shape[1]), padding_convention[k])] = mo_coeff[k][:, frozen_mask[k]] return result def _frozen_sanity_check(frozen, mo_occ, kpt_idx): '''Performs a few sanity checks on the frozen array and mo_occ. Specific tests include checking for duplicates within the frozen array. Args: frozen (array_like of int): The orbital indices that will be frozen. mo_occ (:obj:`ndarray` of int): The occupuation number for each orbital resulting from a mean-field-like calculation. kpt_idx (int): The k-point that `mo_occ` and `frozen` belong to. ''' frozen = np.array(frozen) nocc = np.count_nonzero(mo_occ > 0) nvir = len(mo_occ) - nocc assert nocc, 'No occupied orbitals?\n\nnocc = %s\nmo_occ = %s' % (nocc, mo_occ) all_frozen_unique = (len(frozen) - len(np.unique(frozen))) == 0 if not all_frozen_unique: raise RuntimeError('Frozen orbital list contains duplicates!\n\nkpt_idx %s\n' 'frozen %s' % (kpt_idx, frozen)) if len(frozen) > 0 and np.max(frozen) > len(mo_occ) - 1: raise RuntimeError('Freezing orbital not in MO list!\n\nkpt_idx %s\n' 'frozen %s\nmax orbital idx %s' % (kpt_idx, frozen, len(mo_occ) - 1)) def get_nocc(mp, per_kpoint=False): '''Number of occupied orbitals for k-point calculations. Number of occupied orbitals for use in a calculation with k-points, taking into account frozen orbitals. Args: mp (:class:`MP2`): An instantiation of an SCF or post-Hartree-Fock object. per_kpoint (bool, optional): True returns the number of occupied orbitals at each k-point. False gives the max of this list. Returns: nocc (int, list of int): Number of occupied orbitals. For return type, see description of arg `per_kpoint`. ''' for i, moocc in enumerate(mp.mo_occ): if np.any(moocc % 1 != 0): raise RuntimeError("Fractional occupation numbers encountered @ kp={:d}: {}. This may have been caused by " "smearing of occupation numbers in the mean-field calculation. If so, consider " "executing mf.smearing_method = False; mf.mo_occ = mf.get_occ() prior to calling " "this".format(i, moocc)) if mp._nocc is not None: return mp._nocc elif mp.frozen is None: nocc = [np.count_nonzero(mp.mo_occ[ikpt]) for ikpt in range(mp.nkpts)] elif isinstance(mp.frozen, (int, np.integer)): nocc = [(np.count_nonzero(mp.mo_occ[ikpt]) - mp.frozen) for ikpt in range(mp.nkpts)] elif isinstance(mp.frozen[0], (int, np.integer)): [_frozen_sanity_check(mp.frozen, mp.mo_occ[ikpt], ikpt) for ikpt in range(mp.nkpts)] nocc = [] for ikpt in range(mp.nkpts): max_occ_idx = np.max(np.where(mp.mo_occ[ikpt] > 0)) frozen_nocc = np.sum(np.array(mp.frozen) <= max_occ_idx) nocc.append(np.count_nonzero(mp.mo_occ[ikpt]) - frozen_nocc) elif isinstance(mp.frozen[0], (list, np.ndarray)): nkpts = len(mp.frozen) if nkpts != mp.nkpts: raise RuntimeError('Frozen list has a different number of k-points (length) than passed in mean-field/' 'correlated calculation. \n\nCalculation nkpts = %d, frozen list = %s ' '(length = %d)' % (mp.nkpts, mp.frozen, nkpts)) [_frozen_sanity_check(frozen, mo_occ, ikpt) for ikpt, frozen, mo_occ in zip(range(nkpts), mp.frozen, mp.mo_occ)] nocc = [] for ikpt, frozen in enumerate(mp.frozen): max_occ_idx = np.max(np.where(mp.mo_occ[ikpt] > 0)) frozen_nocc = np.sum(np.array(frozen) <= max_occ_idx) nocc.append(np.count_nonzero(mp.mo_occ[ikpt]) - frozen_nocc) else: raise NotImplementedError assert any(np.array(nocc) > 0), ('Must have occupied orbitals! \n\nnocc %s\nfrozen %s\nmo_occ %s' % (nocc, mp.frozen, mp.mo_occ)) if not per_kpoint: nocc = np.amax(nocc) return nocc def get_nmo(mp, per_kpoint=False): '''Number of orbitals for k-point calculations. Number of orbitals for use in a calculation with k-points, taking into account frozen orbitals. Note: If `per_kpoint` is False, then the number of orbitals here is equal to max(nocc) + max(nvir), where each max is done over all k-points. Otherwise the number of orbitals is returned as a list of number of orbitals at each k-point. Args: mp (:class:`MP2`): An instantiation of an SCF or post-Hartree-Fock object. per_kpoint (bool, optional): True returns the number of orbitals at each k-point. For a description of False, see Note. Returns: nmo (int, list of int): Number of orbitals. For return type, see description of arg `per_kpoint`. ''' if mp._nmo is not None: return mp._nmo if mp.frozen is None: nmo = [len(mp.mo_occ[ikpt]) for ikpt in range(mp.nkpts)] elif isinstance(mp.frozen, (int, np.integer)): nmo = [len(mp.mo_occ[ikpt]) - mp.frozen for ikpt in range(mp.nkpts)] elif isinstance(mp.frozen[0], (int, np.integer)): [_frozen_sanity_check(mp.frozen, mp.mo_occ[ikpt], ikpt) for ikpt in range(mp.nkpts)] nmo = [len(mp.mo_occ[ikpt]) - len(mp.frozen) for ikpt in range(mp.nkpts)] elif isinstance(mp.frozen, (list, np.ndarray)): nkpts = len(mp.frozen) if nkpts != mp.nkpts: raise RuntimeError('Frozen list has a different number of k-points (length) than passed in mean-field/' 'correlated calculation. \n\nCalculation nkpts = %d, frozen list = %s ' '(length = %d)' % (mp.nkpts, mp.frozen, nkpts)) [_frozen_sanity_check(fro, mo_occ, ikpt) for ikpt, fro, mo_occ in zip(range(nkpts), mp.frozen, mp.mo_occ)] nmo = [len(mp.mo_occ[ikpt]) - len(mp.frozen[ikpt]) for ikpt in range(nkpts)] else: raise NotImplementedError assert all(np.array(nmo) > 0), ('Must have a positive number of orbitals!\n\nnmo %s\nfrozen %s\nmo_occ %s' % (nmo, mp.frozen, mp.mo_occ)) if not per_kpoint: # Depending on whether there are more occupied bands, we want to make sure that # nmo has enough room for max(nocc) + max(nvir) number of orbitals for occupied # and virtual space nocc = mp.get_nocc(per_kpoint=True) nmo = np.max(nocc) + np.max(np.array(nmo) - np.array(nocc)) return nmo def get_frozen_mask(mp): '''Boolean mask for orbitals in k-point post-HF method. Creates a boolean mask to remove frozen orbitals and keep other orbitals for post-HF calculations. Args: mp (:class:`MP2`): An instantiation of an SCF or post-Hartree-Fock object. Returns: moidx (list of :obj:`ndarray` of `np.bool`): Boolean mask of orbitals to include. ''' moidx = [np.ones(x.size, dtype=np.bool) for x in mp.mo_occ] if mp.frozen is None: pass elif isinstance(mp.frozen, (int, np.integer)): for idx in moidx: idx[:mp.frozen] = False elif isinstance(mp.frozen[0], (int, np.integer)): frozen = list(mp.frozen) for idx in moidx: idx[frozen] = False elif isinstance(mp.frozen[0], (list, np.ndarray)): nkpts = len(mp.frozen) if nkpts != mp.nkpts: raise RuntimeError('Frozen list has a different number of k-points (length) than passed in mean-field/' 'correlated calculation. \n\nCalculation nkpts = %d, frozen list = %s ' '(length = %d)' % (mp.nkpts, mp.frozen, nkpts)) [_frozen_sanity_check(fro, mo_occ, ikpt) for ikpt, fro, mo_occ in zip(range(nkpts), mp.frozen, mp.mo_occ)] for ikpt, kpt_occ in enumerate(moidx): kpt_occ[mp.frozen[ikpt]] = False else: raise NotImplementedError return moidx def _add_padding(mp, mo_coeff, mo_energy): from pyscf.pbc import tools from pyscf.pbc.cc.ccsd import _adjust_occ nmo = mp.nmo nocc = mp.nocc nvir = nmo - nocc nkpts = mp.nkpts # Check if these are padded mo coefficients and energies if not np.all([x.shape[0] == nmo for x in mo_coeff]): mo_coeff = padded_mo_coeff(mp, mo_coeff) if not np.all([x.shape[0] == nmo for x in mo_energy]): mo_energy = padded_mo_energy(mp, mo_energy) return mo_coeff, mo_energy def make_rdm1(mp, t2=None, kind="compact"): r""" Spin-traced one-particle density matrix in the MO basis representation. The occupied-virtual orbital response is not included. dm1[p,q] = <q_alpha^\dagger p_alpha> + <q_beta^\dagger p_beta> The convention of 1-pdm is based on McWeeney's book, Eq (5.4.20). The contraction between 1-particle Hamiltonian and rdm1 is E = einsum('pq,qp', h1, rdm1) Args: mp (KMP2): a KMP2 kernel object; t2 (ndarray): a t2 MP2 tensor; kind (str): either 'compact' or 'padded' - defines behavior for k-dependent MO basis sizes; Returns: A k-dependent single-particle density matrix. """ if kind not in ("compact", "padded"): raise ValueError("The 'kind' argument should be either 'compact' or 'padded'") d_imds = _gamma1_intermediates(mp, t2=t2) result = [] padding_idxs = padding_k_idx(mp, kind="joint") for (oo, vv), idxs in zip(zip(*d_imds), padding_idxs): oo += np.eye(*oo.shape) d = block_diag(oo, vv) d += d.conj().T if kind == "padded": result.append(d) else: result.append(d[np.ix_(idxs, idxs)]) return result def _gamma1_intermediates(mp, t2=None): # Memory optimization should be here if t2 is None: t2 = mp.t2 if t2 is None: raise NotImplementedError("Run kmp2.kernel with `with_t2=True`") nmo = mp.nmo nocc = mp.nocc nvir = nmo - nocc nkpts = mp.nkpts dtype = t2.dtype dm1occ = np.zeros((nkpts, nocc, nocc), dtype=dtype) dm1vir = np.zeros((nkpts, nvir, nvir), dtype=dtype) for ki in range(nkpts): for kj in range(nkpts): for ka in range(nkpts): kb = mp.khelper.kconserv[ki, ka, kj] dm1vir[kb] += einsum('ijax,ijay->yx', t2[ki][kj][ka].conj(), t2[ki][kj][ka]) * 2 -\ einsum('ijax,ijya->yx', t2[ki][kj][ka].conj(), t2[ki][kj][kb]) dm1occ[kj] += einsum('ixab,iyab->xy', t2[ki][kj][ka].conj(), t2[ki][kj][ka]) * 2 -\ einsum('ixab,iyba->xy', t2[ki][kj][ka].conj(), t2[ki][kj][kb]) return -dm1occ, dm1vir class KMP2(mp2.MP2): def __init__(self, mf, frozen=None, mo_coeff=None, mo_occ=None): if mo_coeff is None: mo_coeff = mf.mo_coeff if mo_occ is None: mo_occ = mf.mo_occ self.mol = mf.mol self._scf = mf self.verbose = self.mol.verbose self.stdout = self.mol.stdout self.max_memory = mf.max_memory self.frozen = frozen ################################################## # don't modify the following attributes, they are not input options self.kpts = mf.kpts self.mo_energy = mf.mo_energy self.nkpts = len(self.kpts) self.khelper = kpts_helper.KptsHelper(mf.cell, mf.kpts) self.mo_coeff = mo_coeff self.mo_occ = mo_occ self._nocc = None self._nmo = None self.e_corr = None self.e_hf = None self.t2 = None self._keys = set(self.__dict__.keys()) get_nocc = get_nocc get_nmo = get_nmo get_frozen_mask = get_frozen_mask make_rdm1 = make_rdm1 def kernel(self, mo_energy=None, mo_coeff=None, with_t2=WITH_T2): if mo_energy is None: mo_energy = self.mo_energy if mo_coeff is None: mo_coeff = self.mo_coeff if mo_energy is None or mo_coeff is None: log = logger.Logger(self.stdout, self.verbose) log.warn('mo_coeff, mo_energy are not given.\n' 'You may need to call mf.kernel() to generate them.') raise RuntimeError mo_coeff, mo_energy = _add_padding(self, mo_coeff, mo_energy) # TODO: compute e_hf for non-canonical SCF self.e_hf = self._scf.e_tot self.e_corr, self.t2 = \ kernel(self, mo_energy, mo_coeff, verbose=self.verbose, with_t2=with_t2) logger.log(self, 'KMP2 energy = %.15g', self.e_corr) return self.e_corr, self.t2 KRMP2 = KMP2 from pyscf.pbc import scf scf.khf.KRHF.MP2 = lib.class_as_method(KRMP2) scf.kghf.KGHF.MP2 = None scf.krohf.KROHF.MP2 = None if __name__ == '__main__': from pyscf.pbc import gto, scf, mp cell = gto.Cell() cell.atom=''' C 0.000000000000 0.000000000000 0.000000000000 C 1.685068664391 1.685068664391 1.685068664391 ''' cell.basis = 'gth-szv' cell.pseudo = 'gth-pade' cell.a = ''' 0.000000000, 3.370137329, 3.370137329 3.370137329, 0.000000000, 3.370137329 3.370137329, 3.370137329, 0.000000000''' cell.unit = 'B' cell.verbose = 5 cell.build() # Running HF and MP2 with 1x1x2 Monkhorst-Pack k-point mesh kmf = scf.KRHF(cell, kpts=cell.make_kpts([1,1,2]), exxdiv=None) ehf = kmf.kernel() mymp = mp.KMP2(kmf) emp2, t2 = mymp.kernel() print(emp2 - -0.204721432828996)

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120

0.608365

import time import numpy as np from scipy.linalg import block_diag from pyscf import lib from pyscf.lib import logger, einsum from pyscf.mp import mp2 from pyscf.pbc.lib import kpts_helper from pyscf.lib.parameters import LARGE_DENOM from pyscf import __config__ WITH_T2 = getattr(__config__, 'mp_mp2_with_t2', True) def kernel(mp, mo_energy, mo_coeff, verbose=logger.NOTE, with_t2=WITH_T2): nmo = mp.nmo nocc = mp.nocc nvir = nmo - nocc nkpts = mp.nkpts eia = np.zeros((nocc,nvir)) eijab = np.zeros((nocc,nocc,nvir,nvir)) fao2mo = mp._scf.with_df.ao2mo kconserv = mp.khelper.kconserv emp2 = 0. oovv_ij = np.zeros((nkpts,nocc,nocc,nvir,nvir), dtype=mo_coeff[0].dtype) mo_e_o = [mo_energy[k][:nocc] for k in range(nkpts)] mo_e_v = [mo_energy[k][nocc:] for k in range(nkpts)] nonzero_opadding, nonzero_vpadding = padding_k_idx(mp, kind="split") if with_t2: t2 = np.zeros((nkpts, nkpts, nkpts, nocc, nocc, nvir, nvir), dtype=complex) else: t2 = None for ki in range(nkpts): for kj in range(nkpts): for ka in range(nkpts): kb = kconserv[ki,ka,kj] orbo_i = mo_coeff[ki][:,:nocc] orbo_j = mo_coeff[kj][:,:nocc] orbv_a = mo_coeff[ka][:,nocc:] orbv_b = mo_coeff[kb][:,nocc:] oovv_ij[ka] = fao2mo((orbo_i,orbv_a,orbo_j,orbv_b), (mp.kpts[ki],mp.kpts[ka],mp.kpts[kj],mp.kpts[kb]), compact=False).reshape(nocc,nvir,nocc,nvir).transpose(0,2,1,3) / nkpts for ka in range(nkpts): kb = kconserv[ki,ka,kj] eia = LARGE_DENOM * np.ones((nocc, nvir), dtype=mo_energy[0].dtype) n0_ovp_ia = np.ix_(nonzero_opadding[ki], nonzero_vpadding[ka]) eia[n0_ovp_ia] = (mo_e_o[ki][:,None] - mo_e_v[ka])[n0_ovp_ia] ejb = LARGE_DENOM * np.ones((nocc, nvir), dtype=mo_energy[0].dtype) n0_ovp_jb = np.ix_(nonzero_opadding[kj], nonzero_vpadding[kb]) ejb[n0_ovp_jb] = (mo_e_o[kj][:,None] - mo_e_v[kb])[n0_ovp_jb] eijab = lib.direct_sum('ia,jb->ijab',eia,ejb) t2_ijab = np.conj(oovv_ij[ka]/eijab) if with_t2: t2[ki, kj, ka] = t2_ijab woovv = 2*oovv_ij[ka] - oovv_ij[kb].transpose(0,1,3,2) emp2 += np.einsum('ijab,ijab', t2_ijab, woovv).real emp2 /= nkpts return emp2, t2 def _padding_k_idx(nmo, nocc, kind="split"): if kind not in ("split", "joint"): raise ValueError("The 'kind' argument must be one of 'split', 'joint'") if kind == "split": indexes_o = [] indexes_v = [] else: indexes = [] nocc = np.array(nocc) nmo = np.array(nmo) nvirt = nmo - nocc dense_o = np.amax(nocc) dense_v = np.amax(nvirt) dense_nmo = dense_o + dense_v for k_o, k_nmo in zip(nocc, nmo): k_v = k_nmo - k_o if kind == "split": indexes_o.append(np.arange(k_o)) indexes_v.append(np.arange(dense_v - k_v, dense_v)) else: indexes.append(np.concatenate(( np.arange(k_o), np.arange(dense_nmo - k_v, dense_nmo), ))) if kind == "split": return indexes_o, indexes_v else: return indexes def padding_k_idx(mp, kind="split"): return _padding_k_idx(mp.get_nmo(per_kpoint=True), mp.get_nocc(per_kpoint=True), kind=kind) def padded_mo_energy(mp, mo_energy): frozen_mask = get_frozen_mask(mp) padding_convention = padding_k_idx(mp, kind="joint") nkpts = mp.nkpts result = np.zeros((nkpts, mp.nmo), dtype=mo_energy[0].dtype) for k in range(nkpts): result[np.ix_([k], padding_convention[k])] = mo_energy[k][frozen_mask[k]] return result def padded_mo_coeff(mp, mo_coeff): frozen_mask = get_frozen_mask(mp) padding_convention = padding_k_idx(mp, kind="joint") nkpts = mp.nkpts result = np.zeros((nkpts, mo_coeff[0].shape[0], mp.nmo), dtype=mo_coeff[0].dtype) for k in range(nkpts): result[np.ix_([k], np.arange(result.shape[1]), padding_convention[k])] = mo_coeff[k][:, frozen_mask[k]] return result def _frozen_sanity_check(frozen, mo_occ, kpt_idx): frozen = np.array(frozen) nocc = np.count_nonzero(mo_occ > 0) nvir = len(mo_occ) - nocc assert nocc, 'No occupied orbitals?\n\nnocc = %s\nmo_occ = %s' % (nocc, mo_occ) all_frozen_unique = (len(frozen) - len(np.unique(frozen))) == 0 if not all_frozen_unique: raise RuntimeError('Frozen orbital list contains duplicates!\n\nkpt_idx %s\n' 'frozen %s' % (kpt_idx, frozen)) if len(frozen) > 0 and np.max(frozen) > len(mo_occ) - 1: raise RuntimeError('Freezing orbital not in MO list!\n\nkpt_idx %s\n' 'frozen %s\nmax orbital idx %s' % (kpt_idx, frozen, len(mo_occ) - 1)) def get_nocc(mp, per_kpoint=False): for i, moocc in enumerate(mp.mo_occ): if np.any(moocc % 1 != 0): raise RuntimeError("Fractional occupation numbers encountered @ kp={:d}: {}. This may have been caused by " "smearing of occupation numbers in the mean-field calculation. If so, consider " "executing mf.smearing_method = False; mf.mo_occ = mf.get_occ() prior to calling " "this".format(i, moocc)) if mp._nocc is not None: return mp._nocc elif mp.frozen is None: nocc = [np.count_nonzero(mp.mo_occ[ikpt]) for ikpt in range(mp.nkpts)] elif isinstance(mp.frozen, (int, np.integer)): nocc = [(np.count_nonzero(mp.mo_occ[ikpt]) - mp.frozen) for ikpt in range(mp.nkpts)] elif isinstance(mp.frozen[0], (int, np.integer)): [_frozen_sanity_check(mp.frozen, mp.mo_occ[ikpt], ikpt) for ikpt in range(mp.nkpts)] nocc = [] for ikpt in range(mp.nkpts): max_occ_idx = np.max(np.where(mp.mo_occ[ikpt] > 0)) frozen_nocc = np.sum(np.array(mp.frozen) <= max_occ_idx) nocc.append(np.count_nonzero(mp.mo_occ[ikpt]) - frozen_nocc) elif isinstance(mp.frozen[0], (list, np.ndarray)): nkpts = len(mp.frozen) if nkpts != mp.nkpts: raise RuntimeError('Frozen list has a different number of k-points (length) than passed in mean-field/' 'correlated calculation. \n\nCalculation nkpts = %d, frozen list = %s ' '(length = %d)' % (mp.nkpts, mp.frozen, nkpts)) [_frozen_sanity_check(frozen, mo_occ, ikpt) for ikpt, frozen, mo_occ in zip(range(nkpts), mp.frozen, mp.mo_occ)] nocc = [] for ikpt, frozen in enumerate(mp.frozen): max_occ_idx = np.max(np.where(mp.mo_occ[ikpt] > 0)) frozen_nocc = np.sum(np.array(frozen) <= max_occ_idx) nocc.append(np.count_nonzero(mp.mo_occ[ikpt]) - frozen_nocc) else: raise NotImplementedError assert any(np.array(nocc) > 0), ('Must have occupied orbitals! \n\nnocc %s\nfrozen %s\nmo_occ %s' % (nocc, mp.frozen, mp.mo_occ)) if not per_kpoint: nocc = np.amax(nocc) return nocc def get_nmo(mp, per_kpoint=False): if mp._nmo is not None: return mp._nmo if mp.frozen is None: nmo = [len(mp.mo_occ[ikpt]) for ikpt in range(mp.nkpts)] elif isinstance(mp.frozen, (int, np.integer)): nmo = [len(mp.mo_occ[ikpt]) - mp.frozen for ikpt in range(mp.nkpts)] elif isinstance(mp.frozen[0], (int, np.integer)): [_frozen_sanity_check(mp.frozen, mp.mo_occ[ikpt], ikpt) for ikpt in range(mp.nkpts)] nmo = [len(mp.mo_occ[ikpt]) - len(mp.frozen) for ikpt in range(mp.nkpts)] elif isinstance(mp.frozen, (list, np.ndarray)): nkpts = len(mp.frozen) if nkpts != mp.nkpts: raise RuntimeError('Frozen list has a different number of k-points (length) than passed in mean-field/' 'correlated calculation. \n\nCalculation nkpts = %d, frozen list = %s ' '(length = %d)' % (mp.nkpts, mp.frozen, nkpts)) [_frozen_sanity_check(fro, mo_occ, ikpt) for ikpt, fro, mo_occ in zip(range(nkpts), mp.frozen, mp.mo_occ)] nmo = [len(mp.mo_occ[ikpt]) - len(mp.frozen[ikpt]) for ikpt in range(nkpts)] else: raise NotImplementedError assert all(np.array(nmo) > 0), ('Must have a positive number of orbitals!\n\nnmo %s\nfrozen %s\nmo_occ %s' % (nmo, mp.frozen, mp.mo_occ)) if not per_kpoint: nocc = mp.get_nocc(per_kpoint=True) nmo = np.max(nocc) + np.max(np.array(nmo) - np.array(nocc)) return nmo def get_frozen_mask(mp): moidx = [np.ones(x.size, dtype=np.bool) for x in mp.mo_occ] if mp.frozen is None: pass elif isinstance(mp.frozen, (int, np.integer)): for idx in moidx: idx[:mp.frozen] = False elif isinstance(mp.frozen[0], (int, np.integer)): frozen = list(mp.frozen) for idx in moidx: idx[frozen] = False elif isinstance(mp.frozen[0], (list, np.ndarray)): nkpts = len(mp.frozen) if nkpts != mp.nkpts: raise RuntimeError('Frozen list has a different number of k-points (length) than passed in mean-field/' 'correlated calculation. \n\nCalculation nkpts = %d, frozen list = %s ' '(length = %d)' % (mp.nkpts, mp.frozen, nkpts)) [_frozen_sanity_check(fro, mo_occ, ikpt) for ikpt, fro, mo_occ in zip(range(nkpts), mp.frozen, mp.mo_occ)] for ikpt, kpt_occ in enumerate(moidx): kpt_occ[mp.frozen[ikpt]] = False else: raise NotImplementedError return moidx def _add_padding(mp, mo_coeff, mo_energy): from pyscf.pbc import tools from pyscf.pbc.cc.ccsd import _adjust_occ nmo = mp.nmo nocc = mp.nocc nvir = nmo - nocc nkpts = mp.nkpts if not np.all([x.shape[0] == nmo for x in mo_coeff]): mo_coeff = padded_mo_coeff(mp, mo_coeff) if not np.all([x.shape[0] == nmo for x in mo_energy]): mo_energy = padded_mo_energy(mp, mo_energy) return mo_coeff, mo_energy def make_rdm1(mp, t2=None, kind="compact"): if kind not in ("compact", "padded"): raise ValueError("The 'kind' argument should be either 'compact' or 'padded'") d_imds = _gamma1_intermediates(mp, t2=t2) result = [] padding_idxs = padding_k_idx(mp, kind="joint") for (oo, vv), idxs in zip(zip(*d_imds), padding_idxs): oo += np.eye(*oo.shape) d = block_diag(oo, vv) d += d.conj().T if kind == "padded": result.append(d) else: result.append(d[np.ix_(idxs, idxs)]) return result def _gamma1_intermediates(mp, t2=None): if t2 is None: t2 = mp.t2 if t2 is None: raise NotImplementedError("Run kmp2.kernel with `with_t2=True`") nmo = mp.nmo nocc = mp.nocc nvir = nmo - nocc nkpts = mp.nkpts dtype = t2.dtype dm1occ = np.zeros((nkpts, nocc, nocc), dtype=dtype) dm1vir = np.zeros((nkpts, nvir, nvir), dtype=dtype) for ki in range(nkpts): for kj in range(nkpts): for ka in range(nkpts): kb = mp.khelper.kconserv[ki, ka, kj] dm1vir[kb] += einsum('ijax,ijay->yx', t2[ki][kj][ka].conj(), t2[ki][kj][ka]) * 2 -\ einsum('ijax,ijya->yx', t2[ki][kj][ka].conj(), t2[ki][kj][kb]) dm1occ[kj] += einsum('ixab,iyab->xy', t2[ki][kj][ka].conj(), t2[ki][kj][ka]) * 2 -\ einsum('ixab,iyba->xy', t2[ki][kj][ka].conj(), t2[ki][kj][kb]) return -dm1occ, dm1vir class KMP2(mp2.MP2): def __init__(self, mf, frozen=None, mo_coeff=None, mo_occ=None): if mo_coeff is None: mo_coeff = mf.mo_coeff if mo_occ is None: mo_occ = mf.mo_occ self.mol = mf.mol self._scf = mf self.verbose = self.mol.verbose self.stdout = self.mol.stdout self.max_memory = mf.max_memory self.frozen = frozen y, mo_coeff, verbose=self.verbose, with_t2=with_t2) logger.log(self, 'KMP2 energy = %.15g', self.e_corr) return self.e_corr, self.t2 KRMP2 = KMP2 from pyscf.pbc import scf scf.khf.KRHF.MP2 = lib.class_as_method(KRMP2) scf.kghf.KGHF.MP2 = None scf.krohf.KROHF.MP2 = None if __name__ == '__main__': from pyscf.pbc import gto, scf, mp cell = gto.Cell() cell.atom=''' C 0.000000000000 0.000000000000 0.000000000000 C 1.685068664391 1.685068664391 1.685068664391 ''' cell.basis = 'gth-szv' cell.pseudo = 'gth-pade' cell.a = ''' 0.000000000, 3.370137329, 3.370137329 3.370137329, 0.000000000, 3.370137329 3.370137329, 3.370137329, 0.000000000''' cell.unit = 'B' cell.verbose = 5 cell.build() # Running HF and MP2 with 1x1x2 Monkhorst-Pack k-point mesh kmf = scf.KRHF(cell, kpts=cell.make_kpts([1,1,2]), exxdiv=None) ehf = kmf.kernel() mymp = mp.KMP2(kmf) emp2, t2 = mymp.kernel() print(emp2 - -0.204721432828996)

true

f7f4f6a738168913062c259772d5a47a91133493

498

py

Python

array/89 merge sorted array.py

windowssocket/py_leetcode

241dbf8d7dab7db5215c2526321fcdb378b45492

[ "Apache-2.0" ]

3

2018-05-29T02:29:40.000Z

2020-02-05T03:28:16.000Z

array/89 merge sorted array.py

xidongc/py_leetcode

241dbf8d7dab7db5215c2526321fcdb378b45492

[ "Apache-2.0" ]

1

2019-03-08T13:22:32.000Z

array/89 merge sorted array.py

xidongc/py_leetcode

241dbf8d7dab7db5215c2526321fcdb378b45492

[ "Apache-2.0" ]

3

2018-05-29T11:50:24.000Z

2018-11-27T12:31:01.000Z

class Solution(object): def merge(self, nums1, m: int, nums2, n: int): """ Do not return anything, modify nums1 in-place instead. """ i = m - 1 j = n - 1 while i >= 0 and j >= 0: if nums1[i] >= nums2[j]: nums1[i + j + 1] = nums1[i] i -= 1 else: nums1[i + j + 1] = nums2[j] j -= 1 while j >= 0: nums1[j] = nums2[j] j -= 1

21.652174

62

0.365462

class Solution(object): def merge(self, nums1, m: int, nums2, n: int): i = m - 1 j = n - 1 while i >= 0 and j >= 0: if nums1[i] >= nums2[j]: nums1[i + j + 1] = nums1[i] i -= 1 else: nums1[i + j + 1] = nums2[j] j -= 1 while j >= 0: nums1[j] = nums2[j] j -= 1

true

f7f4f6a9109ee9b63302fe2a0cad9efe27dbbf93

1,820

py

Python

softlearning/environments/dm_control/suite/wrappers/action_scale_test.py

kpertsch/softlearning

51dc7ccfea077aa7f8cca6fe3c70aff9ae740242

[ "MIT" ]

1

2020-02-20T21:12:34.000Z

softlearning/environments/dm_control/suite/wrappers/action_scale_test.py

AmiMem/softlearning

e437995b707771f745e1fe4ca464e076292756ca

[ "MIT" ]

9

2020-09-26T00:34:00.000Z

2022-03-12T00:10:52.000Z

softlearning/environments/dm_control/suite/wrappers/action_scale_test.py

AmiMem/softlearning

e437995b707771f745e1fe4ca464e076292756ca

[ "MIT" ]

null

import pytest import numpy as np from dm_control import suite from action_scale import Wrapper as ActionScaleWrapper def test_scale_action(): seed = 0 unwrapped_env = suite.load( domain_name="quadruped", task_name="run", task_kwargs={"random": seed}) assert np.any(np.not_equal(unwrapped_env.action_spec().minimum, -1.0)) assert np.any(np.not_equal(unwrapped_env.action_spec().maximum, 1.0)) wrapped_env = ActionScaleWrapper( suite.load( domain_name="quadruped", task_name="run", task_kwargs={"random": seed}), minimum=-1, maximum=1) assert np.all(np.equal(wrapped_env.action_spec().minimum, -1.0)) assert np.all(np.equal(wrapped_env.action_spec().maximum, 1.0)) timestep_unwrapped = unwrapped_env.reset() timestep_wrapped = wrapped_env.reset() assert (set(timestep_unwrapped.observation.keys()) == set(timestep_wrapped.observation.keys())) for key in timestep_unwrapped.observation.keys(): np.testing.assert_allclose( timestep_unwrapped.observation[key], timestep_wrapped.observation[key]) timestep_unwrapped = unwrapped_env.step( unwrapped_env.action_spec().maximum) assert np.any( wrapped_env.action_spec().maximum < unwrapped_env.action_spec().maximum) with pytest.raises(AssertionError): wrapped_env.step(unwrapped_env.action_spec().maximum) timestep_wrapped = wrapped_env.step( np.ones_like(unwrapped_env.action_spec().maximum)) for key in timestep_unwrapped.observation.keys(): np.testing.assert_allclose( timestep_unwrapped.observation[key], timestep_wrapped.observation[key]) assert np.allclose(timestep_wrapped.reward, timestep_unwrapped.reward)

33.703704

80

0.693407

import pytest import numpy as np from dm_control import suite from action_scale import Wrapper as ActionScaleWrapper def test_scale_action(): seed = 0 unwrapped_env = suite.load( domain_name="quadruped", task_name="run", task_kwargs={"random": seed}) assert np.any(np.not_equal(unwrapped_env.action_spec().minimum, -1.0)) assert np.any(np.not_equal(unwrapped_env.action_spec().maximum, 1.0)) wrapped_env = ActionScaleWrapper( suite.load( domain_name="quadruped", task_name="run", task_kwargs={"random": seed}), minimum=-1, maximum=1) assert np.all(np.equal(wrapped_env.action_spec().minimum, -1.0)) assert np.all(np.equal(wrapped_env.action_spec().maximum, 1.0)) timestep_unwrapped = unwrapped_env.reset() timestep_wrapped = wrapped_env.reset() assert (set(timestep_unwrapped.observation.keys()) == set(timestep_wrapped.observation.keys())) for key in timestep_unwrapped.observation.keys(): np.testing.assert_allclose( timestep_unwrapped.observation[key], timestep_wrapped.observation[key]) timestep_unwrapped = unwrapped_env.step( unwrapped_env.action_spec().maximum) assert np.any( wrapped_env.action_spec().maximum < unwrapped_env.action_spec().maximum) with pytest.raises(AssertionError): wrapped_env.step(unwrapped_env.action_spec().maximum) timestep_wrapped = wrapped_env.step( np.ones_like(unwrapped_env.action_spec().maximum)) for key in timestep_unwrapped.observation.keys(): np.testing.assert_allclose( timestep_unwrapped.observation[key], timestep_wrapped.observation[key]) assert np.allclose(timestep_wrapped.reward, timestep_unwrapped.reward)

true

f7f4f8349884d051b5fc797ef4af297ac7fe74ca

2,038

py

Python

docs/conf.py

abourget/kombu

ed67ff19660d43cb91274286b03254cc0160b6c3

[ "BSD-3-Clause" ]

2

2017-06-02T10:18:09.000Z

2019-06-14T08:48:02.000Z

docs/conf.py

abourget/kombu

ed67ff19660d43cb91274286b03254cc0160b6c3

[ "BSD-3-Clause" ]

null

docs/conf.py

abourget/kombu

ed67ff19660d43cb91274286b03254cc0160b6c3

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- import sys import os # If your extensions are in another directory, add it here. If the directory # is relative to the documentation root, use os.path.abspath to make it # absolute, like shown here. sys.path.append(os.path.join(os.pardir, "tests")) import kombu # General configuration # --------------------- extensions = ['sphinx.ext.autodoc', 'sphinx.ext.coverage'] # Add any paths that contain templates here, relative to this directory. templates_path = ['.templates'] # The suffix of source filenames. source_suffix = '.rst' # The master toctree document. master_doc = 'index' # General information about the project. project = u'Kombu' copyright = u'2009-2010, Ask Solem' # The version info for the project you're documenting, acts as replacement for # |version| and |release|, also used in various other places throughout the # built documents. # # The short X.Y version. version = ".".join(map(str, kombu.VERSION[0:2])) # The full version, including alpha/beta/rc tags. release = kombu.__version__ exclude_trees = ['.build'] # If true, '()' will be appended to :func: etc. cross-reference text. add_function_parentheses = True # The name of the Pygments (syntax highlighting) style to use. pygments_style = 'trac' # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". html_static_path = ['.static'] html_use_smartypants = True # If false, no module index is generated. html_use_modindex = True # If false, no index is generated. html_use_index = True latex_documents = [ ('index', 'Kombu.tex', ur'Kombu Documentation', ur'Ask Solem', 'manual'), ] html_theme = "celery" html_theme_path = ["_theme"] html_sidebars = { 'index': ['sidebarintro.html', 'sourcelink.html', 'searchbox.html'], '**': ['sidebarlogo.html', 'localtoc.html', 'relations.html', 'sourcelink.html', 'searchbox.html'], }

28.305556

78

0.715407

import sys import os sys.path.append(os.path.join(os.pardir, "tests")) import kombu extensions = ['sphinx.ext.autodoc', 'sphinx.ext.coverage'] templates_path = ['.templates'] source_suffix = '.rst' master_doc = 'index' project = u'Kombu' copyright = u'2009-2010, Ask Solem' # |version| and |release|, also used in various other places throughout the # built documents. # # The short X.Y version. version = ".".join(map(str, kombu.VERSION[0:2])) # The full version, including alpha/beta/rc tags. release = kombu.__version__ exclude_trees = ['.build'] # If true, '()' will be appended to :func: etc. cross-reference text. add_function_parentheses = True # The name of the Pygments (syntax highlighting) style to use. pygments_style = 'trac' # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". html_static_path = ['.static'] html_use_smartypants = True # If false, no module index is generated. html_use_modindex = True # If false, no index is generated. html_use_index = True latex_documents = [ ('index', 'Kombu.tex', ur'Kombu Documentation', ur'Ask Solem', 'manual'), ] html_theme = "celery" html_theme_path = ["_theme"] html_sidebars = { 'index': ['sidebarintro.html', 'sourcelink.html', 'searchbox.html'], '**': ['sidebarlogo.html', 'localtoc.html', 'relations.html', 'sourcelink.html', 'searchbox.html'], }

false

true

f7f4f92d1525b94014a4caa28e4fb516442ce3cb

523

py

Python

Models/SoundModel.py

xuhaoteoh/car-sound-classification-with-keras

7c71c6e8b200aac24da78462b2820baceec9e087

[ "MIT" ]

null

Models/SoundModel.py

xuhaoteoh/car-sound-classification-with-keras

7c71c6e8b200aac24da78462b2820baceec9e087

[ "MIT" ]

null

Models/SoundModel.py

xuhaoteoh/car-sound-classification-with-keras

7c71c6e8b200aac24da78462b2820baceec9e087

[ "MIT" ]

null

import librosa import os class SoundModel: def split_file(self, file, output_file, duration=0.4): if os.path.isfile(file): os.system( "ffmpeg -i " + file + " -f segment -segment_time " + str( duration) + " -c copy " + output_file) else: print(" *** File", file, "does not exist. Skipping.") return def load_file(self, file): # loading as mono data, sr = librosa.load(file, sr=None) return data, sr

26.15

73

0.529637

import librosa import os class SoundModel: def split_file(self, file, output_file, duration=0.4): if os.path.isfile(file): os.system( "ffmpeg -i " + file + " -f segment -segment_time " + str( duration) + " -c copy " + output_file) else: print(" *** File", file, "does not exist. Skipping.") return def load_file(self, file): data, sr = librosa.load(file, sr=None) return data, sr

true

f7f4f9a6cc861bdd92c5e8337e3919b013fcee67

295

py

Python

source/likelihood/__init__.py

nayyarv/PyCudaIntro

9bf445633d697a15d5fefd79a185724b3f32ce39

[ "MIT" ]

1

2018-07-26T11:30:55.000Z

source/likelihood/__init__.py

nayyarv/PyCudaIntro

9bf445633d697a15d5fefd79a185724b3f32ce39

[ "MIT" ]

null

source/likelihood/__init__.py

nayyarv/PyCudaIntro

9bf445633d697a15d5fefd79a185724b3f32ce39

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- __author__ = "Varun Nayyar <nayyarv@gmail.com>" from .simple import SingleCoreLL, SingleCoreLLFast try: from .scikitLL import ScikitLL except ImportError: pass try: from .cudaLL import GPU_LL as GPULL except ImportError: pass

16.388889

50

0.708475

__author__ = "Varun Nayyar <nayyarv@gmail.com>" from .simple import SingleCoreLL, SingleCoreLLFast try: from .scikitLL import ScikitLL except ImportError: pass try: from .cudaLL import GPU_LL as GPULL except ImportError: pass

true

f7f4f9c2c66e3048b4ff753a5631c61494cefd84

8,389

py

Python

petridish/analysis/old/model_analysis.py

Bhaskers-Blu-Org2/petridishnn

bf800c695a7f0774106968a0fadc5150074269ad

[ "MIT" ]

121

2019-06-04T08:30:53.000Z

2021-12-17T13:27:54.000Z

petridish/analysis/old/model_analysis.py

arita37/petridishnn

bf800c695a7f0774106968a0fadc5150074269ad

[ "MIT" ]

1

2019-11-21T04:29:09.000Z

petridish/analysis/old/model_analysis.py

arita37/petridishnn

bf800c695a7f0774106968a0fadc5150074269ad

[ "MIT" ]

22

2019-10-10T15:35:47.000Z

2021-09-13T12:46:09.000Z

import numpy as np import re import os import bisect from petridish.utils.geometry import _convex_hull_from_points from functools import partial import copy import subprocess from tensorpack.utils.serialize import loads, dumps from petridish.analysis.old.common import ( img_dir, ann_models_logs, experiment_list_fn, exp_dir_to_eidx, for_cust_exps, for_trial_stdouts, cust_exps_str_to_list, ExperimentRecord, cache_dir, filter_xy) INCLUDE_AUX_MA = False REQUIRED_EPOCH = 500 FORCE_LOAD = False def multi_add_from_log(log_fn): multi_add = 0.0 n_params = -1.0 with open(log_fn, 'rt') as fin: for line in fin: reret = re.search(r'(.*)multi-add.* ([0-9\.]*)$', line.strip()) if reret: try: prefix_reret = re.search(r'aux_preprocess', reret.group(1)) if not prefix_reret or INCLUDE_AUX_MA: multi_add += float(reret.group(2)) continue except: pass reret = re.search(r'#params=([0-9]*),', line) if reret: n_params = float(reret.group(1)) break return multi_add, n_params def val_err_from_log(log_fn): def tail(f, n): cmd = "egrep \"Epoch ([0-9]*)|val_err: ([0-9\\.]*)$\" {}".format(f) proc = subprocess.Popen( cmd, shell=True, stdout=subprocess.PIPE) lines = proc.stdout.readlines() return [line.decode('utf-8') for line in lines] lines = tail(log_fn, 100) min_ve_epoch = -1 epoch = -1 min_ve = 2.0 for line in lines: reret = re.search(r'Epoch ([0-9]*)|val_err: ([0-9\.]*)', line) if reret: if reret.group(1) is not None: try: new_epoch = int(reret.group(1)) if min_ve_epoch == -1 and min_ve < 1.0: min_ve_epoch = new_epoch - 1 epoch = new_epoch except: pass elif reret.group(2) is not None: try: ve = float(reret.group(2)) if ve <= min_ve: min_ve = ve min_ve_epoch = epoch except: pass return min_ve, min_ve_epoch def perf_from_log(log_fn): """ Args: log_fn : a stdout file xxx/stdout/triali/stdout.txt """ dn = os.path.dirname(log_fn) cache_fn = dn.replace('/', '__') cache_fn = os.path.join(cache_dir, cache_fn) if os.path.exists(cache_fn): with open(cache_fn, 'rb') as fin: ss = fin.read() try: ret = loads(ss) except: pass if ret and not FORCE_LOAD: return ret if os.path.exists(log_fn): min_ve, min_ve_epoch = val_err_from_log(log_fn) multi_add, n_params = multi_add_from_log(log_fn) ret = (min_ve, multi_add * 2. * 1e-9, min_ve_epoch) with open(cache_fn, 'wb') as fout: fout.write(dumps(ret)) return ret else: return 2.0, -1.0, -1 def init_state_for_model_perf(): # min_ve, multi_add, epoch when min_ve return [] def func_stdout_for_model_perf(log_fn, state, context): if context is not None: record = copy.deepcopy(context) else: context = ExperimentRecord() ve, fp, ep = perf_from_log(log_fn) record.set_new(ve=ve, fp=fp, ep=ep) if ve < 1.0: print(record) state.append(record) return state def merge_state(state, required_epoch=REQUIRED_EPOCH): state = [x for x in state if x.ep > required_epoch] state.sort(key=lambda x : x.eidx) cnt = 0.0 avg_ve = 0.0 min_ve = 2.0 ret = dict() for idx, x in enumerate(state): avg_ve += x.ve min_ve = min(min_ve, x.ve) cnt += 1.0 if idx == len(state) - 1 or x.eidx != state[idx+1].eidx: avg_ve /= cnt + int(cnt < 1) ret[x.eidx] = (x.fp, avg_ve, min_ve) cnt = 0.0 avg_ve = 0.0 min_ve = 2.0 return ret def amoeba_A_scatter_xys(): def xys_to_xs_ys(xys, name): return xys[::2], xys[1::2], name amoeba_a_xys = xys_to_xs_ys( [ 0.8243604811532328, 3.717231330127244, 0.8561252293632995, 3.576010697624216, 0.9252184498039169, 3.4887507045800703, 0.9434581389491863, 3.4586750296823094, 0.9624620126404664, 3.6313001451135123 ], name='Amoeba-A') amoeba_rl_xys = xys_to_xs_ys( [ 1.092913063813967, 3.527370087427893, 1.1475961526929952, 3.474680690308576, 1.169610712015639, 3.5061571303503114, 1.2213824160800164, 3.491012556516316, 1.2270612714821967, 3.566073420241536, ], name='Amoeba-RL') amoeba_rand_xys = xys_to_xs_ys( [ 0.950659606874303, 3.9451434944772914, 0.9871001283235192, 3.925532782461653, 0.9842045740738521, 3.94656104961443, 0.9486779079668519, 4.012716021251334, 0.9352593454301237, 4.012749601237663, ], name='Amoeba-Rand') return [amoeba_a_xys, amoeba_rl_xys, amoeba_rand_xys] if __name__ == '__main__': import argparse parser = argparse.ArgumentParser() parser.add_argument('--find_min', default=False, action='store_true') parser.add_argument('--stdout_fn', type=str, default=None) parser.add_argument('--log_root', type=str, default=None) parser.add_argument('--app_dir', type=str, default=None) parser.add_argument('--cust_exps', type=str, default=None) parser.add_argument('--include_aux_ma', default=False, action='store_true') parser.add_argument('--force_load', default=False, action='store_true') parser.add_argument('--required_epochs', default=REQUIRED_EPOCH, type=int) parser.add_argument('--plot_scatter', default=False, action='store_true') parser.add_argument('--plot_x_min', default=None, type=float) parser.add_argument('--plot_x_max', default=None, type=float) parser.add_argument('--plot_y_min', default=None, type=float) parser.add_argument('--plot_y_max', default=None, type=float) args = parser.parse_args() args.cust_exps = cust_exps_str_to_list(args.cust_exps) FORCE_LOAD = args.force_load REQUIRED_EPOCH = args.required_epochs INCLUDE_AUX_MA = args.include_aux_ma if args.cust_exps: func_exp_dir_for_model_perf = partial( for_trial_stdouts, func_stdout=func_stdout_for_model_perf ) state = for_cust_exps( args.cust_exps, func_exp_dir_for_model_perf, init_state_for_model_perf()) ret_dict = merge_state(state) # if args.plot_scatter: import matplotlib.pyplot as plt plt.close('all') fig, ax = plt.subplots() eindices = list(ret_dict.keys()) fp_idx, ve_idx, min_ve_idx = 0, 1, 2 xs = [ret_dict[eidx][fp_idx] for eidx in eindices] y_multiplier = 100. ys = [ret_dict[eidx][ve_idx] * y_multiplier for eidx in eindices] remain_indices = filter_xy(xs, ys, args) xs = [xs[i] for i in remain_indices] ys = [ys[i] for i in remain_indices] eindices = [eindices[i] for i in remain_indices] ax.scatter(xs, ys, label='Ours') for i, eidx in enumerate(eindices): ax.annotate(str(eidx), (xs[i], ys[i])) baselines = amoeba_A_scatter_xys() for baseline in baselines: _xs, _ys, _name = baseline ax.scatter(_xs, _ys, label=_name) plt.grid() plt.xlabel('GFLOPS') plt.ylabel('Test Error') plt.legend() plt.savefig( os.path.join( img_dir, 'cust_exps_{}_scatter.png'.format( '_'.join(args.cust_exps)) ), dpi=plt.gcf().dpi, bbox_inches='tight' ) print(ret_dict) with open('./temp/model_analysis_ret.bin', 'wb') as fout: fout.write(dumps(ret_dict))

31.656604

79

0.573847

import numpy as np import re import os import bisect from petridish.utils.geometry import _convex_hull_from_points from functools import partial import copy import subprocess from tensorpack.utils.serialize import loads, dumps from petridish.analysis.old.common import ( img_dir, ann_models_logs, experiment_list_fn, exp_dir_to_eidx, for_cust_exps, for_trial_stdouts, cust_exps_str_to_list, ExperimentRecord, cache_dir, filter_xy) INCLUDE_AUX_MA = False REQUIRED_EPOCH = 500 FORCE_LOAD = False def multi_add_from_log(log_fn): multi_add = 0.0 n_params = -1.0 with open(log_fn, 'rt') as fin: for line in fin: reret = re.search(r'(.*)multi-add.* ([0-9\.]*)$', line.strip()) if reret: try: prefix_reret = re.search(r'aux_preprocess', reret.group(1)) if not prefix_reret or INCLUDE_AUX_MA: multi_add += float(reret.group(2)) continue except: pass reret = re.search(r'#params=([0-9]*),', line) if reret: n_params = float(reret.group(1)) break return multi_add, n_params def val_err_from_log(log_fn): def tail(f, n): cmd = "egrep \"Epoch ([0-9]*)|val_err: ([0-9\\.]*)$\" {}".format(f) proc = subprocess.Popen( cmd, shell=True, stdout=subprocess.PIPE) lines = proc.stdout.readlines() return [line.decode('utf-8') for line in lines] lines = tail(log_fn, 100) min_ve_epoch = -1 epoch = -1 min_ve = 2.0 for line in lines: reret = re.search(r'Epoch ([0-9]*)|val_err: ([0-9\.]*)', line) if reret: if reret.group(1) is not None: try: new_epoch = int(reret.group(1)) if min_ve_epoch == -1 and min_ve < 1.0: min_ve_epoch = new_epoch - 1 epoch = new_epoch except: pass elif reret.group(2) is not None: try: ve = float(reret.group(2)) if ve <= min_ve: min_ve = ve min_ve_epoch = epoch except: pass return min_ve, min_ve_epoch def perf_from_log(log_fn): dn = os.path.dirname(log_fn) cache_fn = dn.replace('/', '__') cache_fn = os.path.join(cache_dir, cache_fn) if os.path.exists(cache_fn): with open(cache_fn, 'rb') as fin: ss = fin.read() try: ret = loads(ss) except: pass if ret and not FORCE_LOAD: return ret if os.path.exists(log_fn): min_ve, min_ve_epoch = val_err_from_log(log_fn) multi_add, n_params = multi_add_from_log(log_fn) ret = (min_ve, multi_add * 2. * 1e-9, min_ve_epoch) with open(cache_fn, 'wb') as fout: fout.write(dumps(ret)) return ret else: return 2.0, -1.0, -1 def init_state_for_model_perf(): return [] def func_stdout_for_model_perf(log_fn, state, context): if context is not None: record = copy.deepcopy(context) else: context = ExperimentRecord() ve, fp, ep = perf_from_log(log_fn) record.set_new(ve=ve, fp=fp, ep=ep) if ve < 1.0: print(record) state.append(record) return state def merge_state(state, required_epoch=REQUIRED_EPOCH): state = [x for x in state if x.ep > required_epoch] state.sort(key=lambda x : x.eidx) cnt = 0.0 avg_ve = 0.0 min_ve = 2.0 ret = dict() for idx, x in enumerate(state): avg_ve += x.ve min_ve = min(min_ve, x.ve) cnt += 1.0 if idx == len(state) - 1 or x.eidx != state[idx+1].eidx: avg_ve /= cnt + int(cnt < 1) ret[x.eidx] = (x.fp, avg_ve, min_ve) cnt = 0.0 avg_ve = 0.0 min_ve = 2.0 return ret def amoeba_A_scatter_xys(): def xys_to_xs_ys(xys, name): return xys[::2], xys[1::2], name amoeba_a_xys = xys_to_xs_ys( [ 0.8243604811532328, 3.717231330127244, 0.8561252293632995, 3.576010697624216, 0.9252184498039169, 3.4887507045800703, 0.9434581389491863, 3.4586750296823094, 0.9624620126404664, 3.6313001451135123 ], name='Amoeba-A') amoeba_rl_xys = xys_to_xs_ys( [ 1.092913063813967, 3.527370087427893, 1.1475961526929952, 3.474680690308576, 1.169610712015639, 3.5061571303503114, 1.2213824160800164, 3.491012556516316, 1.2270612714821967, 3.566073420241536, ], name='Amoeba-RL') amoeba_rand_xys = xys_to_xs_ys( [ 0.950659606874303, 3.9451434944772914, 0.9871001283235192, 3.925532782461653, 0.9842045740738521, 3.94656104961443, 0.9486779079668519, 4.012716021251334, 0.9352593454301237, 4.012749601237663, ], name='Amoeba-Rand') return [amoeba_a_xys, amoeba_rl_xys, amoeba_rand_xys] if __name__ == '__main__': import argparse parser = argparse.ArgumentParser() parser.add_argument('--find_min', default=False, action='store_true') parser.add_argument('--stdout_fn', type=str, default=None) parser.add_argument('--log_root', type=str, default=None) parser.add_argument('--app_dir', type=str, default=None) parser.add_argument('--cust_exps', type=str, default=None) parser.add_argument('--include_aux_ma', default=False, action='store_true') parser.add_argument('--force_load', default=False, action='store_true') parser.add_argument('--required_epochs', default=REQUIRED_EPOCH, type=int) parser.add_argument('--plot_scatter', default=False, action='store_true') parser.add_argument('--plot_x_min', default=None, type=float) parser.add_argument('--plot_x_max', default=None, type=float) parser.add_argument('--plot_y_min', default=None, type=float) parser.add_argument('--plot_y_max', default=None, type=float) args = parser.parse_args() args.cust_exps = cust_exps_str_to_list(args.cust_exps) FORCE_LOAD = args.force_load REQUIRED_EPOCH = args.required_epochs INCLUDE_AUX_MA = args.include_aux_ma if args.cust_exps: func_exp_dir_for_model_perf = partial( for_trial_stdouts, func_stdout=func_stdout_for_model_perf ) state = for_cust_exps( args.cust_exps, func_exp_dir_for_model_perf, init_state_for_model_perf()) ret_dict = merge_state(state) if args.plot_scatter: import matplotlib.pyplot as plt plt.close('all') fig, ax = plt.subplots() eindices = list(ret_dict.keys()) fp_idx, ve_idx, min_ve_idx = 0, 1, 2 xs = [ret_dict[eidx][fp_idx] for eidx in eindices] y_multiplier = 100. ys = [ret_dict[eidx][ve_idx] * y_multiplier for eidx in eindices] remain_indices = filter_xy(xs, ys, args) xs = [xs[i] for i in remain_indices] ys = [ys[i] for i in remain_indices] eindices = [eindices[i] for i in remain_indices] ax.scatter(xs, ys, label='Ours') for i, eidx in enumerate(eindices): ax.annotate(str(eidx), (xs[i], ys[i])) baselines = amoeba_A_scatter_xys() for baseline in baselines: _xs, _ys, _name = baseline ax.scatter(_xs, _ys, label=_name) plt.grid() plt.xlabel('GFLOPS') plt.ylabel('Test Error') plt.legend() plt.savefig( os.path.join( img_dir, 'cust_exps_{}_scatter.png'.format( '_'.join(args.cust_exps)) ), dpi=plt.gcf().dpi, bbox_inches='tight' ) print(ret_dict) with open('./temp/model_analysis_ret.bin', 'wb') as fout: fout.write(dumps(ret_dict))

true

f7f4fb118a6e17906f547c5b09a169363941b7c3

442

py

Python

test_fizzbuzz.py

simplymanas/python-learning

75bc99c0dce211fd1bce5f6ce1155e0f4c71d7d0

[ "Apache-2.0" ]

4

2020-08-18T05:29:38.000Z

2021-03-13T19:01:10.000Z

test_fizzbuzz.py

simplymanas/python-learning

75bc99c0dce211fd1bce5f6ce1155e0f4c71d7d0

[ "Apache-2.0" ]

null

test_fizzbuzz.py

simplymanas/python-learning

75bc99c0dce211fd1bce5f6ce1155e0f4c71d7d0

[ "Apache-2.0" ]

1

2020-08-29T12:57:17.000Z

import unittest from fizzbuzz import checkio class TestFizzBuzz(unittest.TestCase): def test_fizz(self): for i in [3, 6, 9, 18]: print('testing', i) assert checkio(i) == 'Fizz' def test_buzz(self): for i in [5, 10, 50]: print('testing', i) assert checkio(i) == 'Buzz' def test_fizzbuzz(self): for i in [15, 30, 75]: print('testing', i) assert checkio(i) == 'FizzBuzz' if __name__ == '__main__': unittest.main()

21.047619

38

0.644796

import unittest from fizzbuzz import checkio class TestFizzBuzz(unittest.TestCase): def test_fizz(self): for i in [3, 6, 9, 18]: print('testing', i) assert checkio(i) == 'Fizz' def test_buzz(self): for i in [5, 10, 50]: print('testing', i) assert checkio(i) == 'Buzz' def test_fizzbuzz(self): for i in [15, 30, 75]: print('testing', i) assert checkio(i) == 'FizzBuzz' if __name__ == '__main__': unittest.main()

true

f7f4fc795a2634de761a6b017cc1ad7ceeda7391

1,301

py

Python

mandalka/__init__.py

squirrelinhell/mandalka

e731fa9d6e77898e8da780eeed02271f79b8577a

[ "Unlicense", "MIT" ]

null

mandalka/__init__.py

squirrelinhell/mandalka

e731fa9d6e77898e8da780eeed02271f79b8577a

[ "Unlicense", "MIT" ]

null

mandalka/__init__.py

squirrelinhell/mandalka

e731fa9d6e77898e8da780eeed02271f79b8577a

[ "Unlicense", "MIT" ]

null

# Copyright (c) 2017 SquirrelInHell # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in all # copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE # SOFTWARE. version = (2, 16) from .node import ( node, is_node, unique_id, touch, evaluate, describe, arguments, inputs, config, lazy, ) from .threads import ( threads, )

32.525

80

0.744043

version = (2, 16) from .node import ( node, is_node, unique_id, touch, evaluate, describe, arguments, inputs, config, lazy, ) from .threads import ( threads, )

true

f7f4ff92537a9bbc306c181b9974b2e55f840907

100,621

py

Python

certbot-apache/certbot_apache/configurator.py

Raklyon/certbot

f5b23361bd3691b5480bee648a3afdb43060dd92

[ "Apache-2.0" ]

4

2020-04-09T21:57:23.000Z

2020-04-11T13:26:54.000Z

certbot-apache/certbot_apache/configurator.py

hanxiong123/certbot

cf29e89366c7eb57dd48a99a06fe05ceaa9057fa

[ "Apache-2.0" ]

32

2019-02-20T14:51:48.000Z

2019-02-27T10:11:34.000Z

certbot-apache/certbot_apache/configurator.py

hanxiong123/certbot

cf29e89366c7eb57dd48a99a06fe05ceaa9057fa

[ "Apache-2.0" ]

null

"""Apache Configuration based off of Augeas Configurator.""" # pylint: disable=too-many-lines import copy import fnmatch import logging import os import pkg_resources import re import six import socket import time import zope.component import zope.interface from acme import challenges from acme.magic_typing import Any, DefaultDict, Dict, List, Set, Union # pylint: disable=unused-import, no-name-in-module from certbot import errors from certbot import interfaces from certbot import util from certbot.achallenges import KeyAuthorizationAnnotatedChallenge # pylint: disable=unused-import from certbot.plugins import common from certbot.plugins.util import path_surgery from certbot.plugins.enhancements import AutoHSTSEnhancement from certbot_apache import apache_util from certbot_apache import augeas_configurator from certbot_apache import constants from certbot_apache import display_ops from certbot_apache import http_01 from certbot_apache import obj from certbot_apache import parser from certbot_apache import tls_sni_01 from collections import defaultdict logger = logging.getLogger(__name__) # TODO: Augeas sections ie. <VirtualHost>, <IfModule> beginning and closing # tags need to be the same case, otherwise Augeas doesn't recognize them. # This is not able to be completely remedied by regular expressions because # Augeas views <VirtualHost> </Virtualhost> as an error. This will just # require another check_parsing_errors() after all files are included... # (after a find_directive search is executed currently). It can be a one # time check however because all of LE's transactions will ensure # only properly formed sections are added. # Note: This protocol works for filenames with spaces in it, the sites are # properly set up and directives are changed appropriately, but Apache won't # recognize names in sites-enabled that have spaces. These are not added to the # Apache configuration. It may be wise to warn the user if they are trying # to use vhost filenames that contain spaces and offer to change ' ' to '_' # Note: FILEPATHS and changes to files are transactional. They are copied # over before the updates are made to the existing files. NEW_FILES is # transactional due to the use of register_file_creation() # TODO: Verify permissions on configuration root... it is easier than # checking permissions on each of the relative directories and less error # prone. # TODO: Write a server protocol finder. Listen <port> <protocol> or # Protocol <protocol>. This can verify partial setups are correct # TODO: Add directives to sites-enabled... not sites-available. # sites-available doesn't allow immediate find_dir search even with save() # and load() @zope.interface.implementer(interfaces.IAuthenticator, interfaces.IInstaller) @zope.interface.provider(interfaces.IPluginFactory) class ApacheConfigurator(augeas_configurator.AugeasConfigurator): # pylint: disable=too-many-instance-attributes,too-many-public-methods """Apache configurator. State of Configurator: This code has been been tested and built for Ubuntu 14.04 Apache 2.4 and it works for Ubuntu 12.04 Apache 2.2 :ivar config: Configuration. :type config: :class:`~certbot.interfaces.IConfig` :ivar parser: Handles low level parsing :type parser: :class:`~certbot_apache.parser` :ivar tup version: version of Apache :ivar list vhosts: All vhosts found in the configuration (:class:`list` of :class:`~certbot_apache.obj.VirtualHost`) :ivar dict assoc: Mapping between domains and vhosts """ description = "Apache Web Server plugin" if os.environ.get("CERTBOT_DOCS") == "1": description += ( # pragma: no cover " (Please note that the default values of the Apache plugin options" " change depending on the operating system Certbot is run on.)" ) OS_DEFAULTS = dict( server_root="/etc/apache2", vhost_root="/etc/apache2/sites-available", vhost_files="*", logs_root="/var/log/apache2", ctl="apache2ctl", version_cmd=['apache2ctl', '-v'], restart_cmd=['apache2ctl', 'graceful'], conftest_cmd=['apache2ctl', 'configtest'], enmod=None, dismod=None, le_vhost_ext="-le-ssl.conf", handle_modules=False, handle_sites=False, challenge_location="/etc/apache2", MOD_SSL_CONF_SRC=pkg_resources.resource_filename( "certbot_apache", "options-ssl-apache.conf") ) def option(self, key): """Get a value from options""" return self.options.get(key) def _prepare_options(self): """ Set the values possibly changed by command line parameters to OS_DEFAULTS constant dictionary """ opts = ["enmod", "dismod", "le_vhost_ext", "server_root", "vhost_root", "logs_root", "challenge_location", "handle_modules", "handle_sites", "ctl"] for o in opts: # Config options use dashes instead of underscores if self.conf(o.replace("_", "-")) is not None: self.options[o] = self.conf(o.replace("_", "-")) else: self.options[o] = self.OS_DEFAULTS[o] # Special cases self.options["version_cmd"][0] = self.option("ctl") self.options["restart_cmd"][0] = self.option("ctl") self.options["conftest_cmd"][0] = self.option("ctl") @classmethod def add_parser_arguments(cls, add): # When adding, modifying or deleting command line arguments, be sure to # include the changes in the list used in method _prepare_options() to # ensure consistent behavior. # Respect CERTBOT_DOCS environment variable and use default values from # base class regardless of the underlying distribution (overrides). if os.environ.get("CERTBOT_DOCS") == "1": DEFAULTS = ApacheConfigurator.OS_DEFAULTS else: # cls.OS_DEFAULTS can be distribution specific, see override classes DEFAULTS = cls.OS_DEFAULTS add("enmod", default=DEFAULTS["enmod"], help="Path to the Apache 'a2enmod' binary") add("dismod", default=DEFAULTS["dismod"], help="Path to the Apache 'a2dismod' binary") add("le-vhost-ext", default=DEFAULTS["le_vhost_ext"], help="SSL vhost configuration extension") add("server-root", default=DEFAULTS["server_root"], help="Apache server root directory") add("vhost-root", default=None, help="Apache server VirtualHost configuration root") add("logs-root", default=DEFAULTS["logs_root"], help="Apache server logs directory") add("challenge-location", default=DEFAULTS["challenge_location"], help="Directory path for challenge configuration") add("handle-modules", default=DEFAULTS["handle_modules"], help="Let installer handle enabling required modules for you " + "(Only Ubuntu/Debian currently)") add("handle-sites", default=DEFAULTS["handle_sites"], help="Let installer handle enabling sites for you " + "(Only Ubuntu/Debian currently)") add("ctl", default=DEFAULTS["ctl"], help="Full path to Apache control script") util.add_deprecated_argument( add, argument_name="init-script", nargs=1) def __init__(self, *args, **kwargs): """Initialize an Apache Configurator. :param tup version: version of Apache as a tuple (2, 4, 7) (used mostly for unittesting) """ version = kwargs.pop("version", None) super(ApacheConfigurator, self).__init__(*args, **kwargs) # Add name_server association dict self.assoc = dict() # type: Dict[str, obj.VirtualHost] # Outstanding challenges self._chall_out = set() # type: Set[KeyAuthorizationAnnotatedChallenge] # List of vhosts configured per wildcard domain on this run. # used by deploy_cert() and enhance() self._wildcard_vhosts = dict() # type: Dict[str, List[obj.VirtualHost]] # Maps enhancements to vhosts we've enabled the enhancement for self._enhanced_vhosts = defaultdict(set) # type: DefaultDict[str, Set[obj.VirtualHost]] # Temporary state for AutoHSTS enhancement self._autohsts = {} # type: Dict[str, Dict[str, Union[int, float]]] # These will be set in the prepare function self._prepared = False self.parser = None self.version = version self.vhosts = None self.options = copy.deepcopy(self.OS_DEFAULTS) self._enhance_func = {"redirect": self._enable_redirect, "ensure-http-header": self._set_http_header, "staple-ocsp": self._enable_ocsp_stapling} @property def mod_ssl_conf(self): """Full absolute path to SSL configuration file.""" return os.path.join(self.config.config_dir, constants.MOD_SSL_CONF_DEST) @property def updated_mod_ssl_conf_digest(self): """Full absolute path to digest of updated SSL configuration file.""" return os.path.join(self.config.config_dir, constants.UPDATED_MOD_SSL_CONF_DIGEST) def prepare(self): """Prepare the authenticator/installer. :raises .errors.NoInstallationError: If Apache configs cannot be found :raises .errors.MisconfigurationError: If Apache is misconfigured :raises .errors.NotSupportedError: If Apache version is not supported :raises .errors.PluginError: If there is any other error """ # Perform the actual Augeas initialization to be able to react try: self.init_augeas() except ImportError: raise errors.NoInstallationError("Problem in Augeas installation") self._prepare_options() # Verify Apache is installed self._verify_exe_availability(self.option("ctl")) # Make sure configuration is valid self.config_test() # Set Version if self.version is None: self.version = self.get_version() logger.debug('Apache version is %s', '.'.join(str(i) for i in self.version)) if self.version < (2, 2): raise errors.NotSupportedError( "Apache Version %s not supported.", str(self.version)) if not self._check_aug_version(): raise errors.NotSupportedError( "Apache plugin support requires libaugeas0 and augeas-lenses " "version 1.2.0 or higher, please make sure you have you have " "those installed.") self.parser = self.get_parser() # Check for errors in parsing files with Augeas self.check_parsing_errors("httpd.aug") # Get all of the available vhosts self.vhosts = self.get_virtual_hosts() self.install_ssl_options_conf(self.mod_ssl_conf, self.updated_mod_ssl_conf_digest) # Prevent two Apache plugins from modifying a config at once try: util.lock_dir_until_exit(self.option("server_root")) except (OSError, errors.LockError): logger.debug("Encountered error:", exc_info=True) raise errors.PluginError( "Unable to lock %s", self.option("server_root")) self._prepared = True def _verify_exe_availability(self, exe): """Checks availability of Apache executable""" if not util.exe_exists(exe): if not path_surgery(exe): raise errors.NoInstallationError( 'Cannot find Apache executable {0}'.format(exe)) def _check_aug_version(self): """ Checks that we have recent enough version of libaugeas. If augeas version is recent enough, it will support case insensitive regexp matching""" self.aug.set("/test/path/testing/arg", "aRgUMeNT") try: matches = self.aug.match( "/test//*[self::arg=~regexp('argument', 'i')]") except RuntimeError: self.aug.remove("/test/path") return False self.aug.remove("/test/path") return matches def get_parser(self): """Initializes the ApacheParser""" # If user provided vhost_root value in command line, use it return parser.ApacheParser( self.aug, self.option("server_root"), self.conf("vhost-root"), self.version, configurator=self) def _wildcard_domain(self, domain): """ Checks if domain is a wildcard domain :param str domain: Domain to check :returns: If the domain is wildcard domain :rtype: bool """ if isinstance(domain, six.text_type): wildcard_marker = u"*." else: wildcard_marker = b"*." return domain.startswith(wildcard_marker) def deploy_cert(self, domain, cert_path, key_path, chain_path=None, fullchain_path=None): """Deploys certificate to specified virtual host. Currently tries to find the last directives to deploy the certificate in the VHost associated with the given domain. If it can't find the directives, it searches the "included" confs. The function verifies that it has located the three directives and finally modifies them to point to the correct destination. After the certificate is installed, the VirtualHost is enabled if it isn't already. .. todo:: Might be nice to remove chain directive if none exists This shouldn't happen within certbot though :raises errors.PluginError: When unable to deploy certificate due to a lack of directives """ vhosts = self.choose_vhosts(domain) for vhost in vhosts: self._deploy_cert(vhost, cert_path, key_path, chain_path, fullchain_path) def choose_vhosts(self, domain, create_if_no_ssl=True): """ Finds VirtualHosts that can be used with the provided domain :param str domain: Domain name to match VirtualHosts to :param bool create_if_no_ssl: If found VirtualHost doesn't have a HTTPS counterpart, should one get created :returns: List of VirtualHosts or None :rtype: `list` of :class:`~certbot_apache.obj.VirtualHost` """ if self._wildcard_domain(domain): if domain in self._wildcard_vhosts: # Vhosts for a wildcard domain were already selected return self._wildcard_vhosts[domain] # Ask user which VHosts to support. # Returned objects are guaranteed to be ssl vhosts return self._choose_vhosts_wildcard(domain, create_if_no_ssl) else: return [self.choose_vhost(domain, create_if_no_ssl)] def _vhosts_for_wildcard(self, domain): """ Get VHost objects for every VirtualHost that the user wants to handle with the wildcard certificate. """ # Collect all vhosts that match the name matched = set() for vhost in self.vhosts: for name in vhost.get_names(): if self._in_wildcard_scope(name, domain): matched.add(vhost) return list(matched) def _in_wildcard_scope(self, name, domain): """ Helper method for _vhosts_for_wildcard() that makes sure that the domain is in the scope of wildcard domain. eg. in scope: domain = *.wild.card, name = 1.wild.card not in scope: domain = *.wild.card, name = 1.2.wild.card """ if len(name.split(".")) == len(domain.split(".")): return fnmatch.fnmatch(name, domain) def _choose_vhosts_wildcard(self, domain, create_ssl=True): """Prompts user to choose vhosts to install a wildcard certificate for""" # Get all vhosts that are covered by the wildcard domain vhosts = self._vhosts_for_wildcard(domain) # Go through the vhosts, making sure that we cover all the names # present, but preferring the SSL vhosts filtered_vhosts = dict() for vhost in vhosts: for name in vhost.get_names(): if vhost.ssl: # Always prefer SSL vhosts filtered_vhosts[name] = vhost elif name not in filtered_vhosts and create_ssl: # Add if not in list previously filtered_vhosts[name] = vhost # Only unique VHost objects dialog_input = set([vhost for vhost in filtered_vhosts.values()]) # Ask the user which of names to enable, expect list of names back dialog_output = display_ops.select_vhost_multiple(list(dialog_input)) if not dialog_output: logger.error( "No vhost exists with servername or alias for domain %s. " "No vhost was selected. Please specify ServerName or ServerAlias " "in the Apache config.", domain) raise errors.PluginError("No vhost selected") # Make sure we create SSL vhosts for the ones that are HTTP only # if requested. return_vhosts = list() for vhost in dialog_output: if not vhost.ssl: return_vhosts.append(self.make_vhost_ssl(vhost)) else: return_vhosts.append(vhost) self._wildcard_vhosts[domain] = return_vhosts return return_vhosts def _deploy_cert(self, vhost, cert_path, key_path, chain_path, fullchain_path): """ Helper function for deploy_cert() that handles the actual deployment this exists because we might want to do multiple deployments per domain originally passed for deploy_cert(). This is especially true with wildcard certificates """ # This is done first so that ssl module is enabled and cert_path, # cert_key... can all be parsed appropriately self.prepare_server_https("443") # Add directives and remove duplicates self._add_dummy_ssl_directives(vhost.path) self._clean_vhost(vhost) path = {"cert_path": self.parser.find_dir("SSLCertificateFile", None, vhost.path), "cert_key": self.parser.find_dir("SSLCertificateKeyFile", None, vhost.path)} # Only include if a certificate chain is specified if chain_path is not None: path["chain_path"] = self.parser.find_dir( "SSLCertificateChainFile", None, vhost.path) # Handle errors when certificate/key directives cannot be found if not path["cert_path"]: logger.warning( "Cannot find an SSLCertificateFile directive in %s. " "VirtualHost was not modified", vhost.path) raise errors.PluginError( "Unable to find an SSLCertificateFile directive") elif not path["cert_key"]: logger.warning( "Cannot find an SSLCertificateKeyFile directive for " "certificate in %s. VirtualHost was not modified", vhost.path) raise errors.PluginError( "Unable to find an SSLCertificateKeyFile directive for " "certificate") logger.info("Deploying Certificate to VirtualHost %s", vhost.filep) if self.version < (2, 4, 8) or (chain_path and not fullchain_path): # install SSLCertificateFile, SSLCertificateKeyFile, # and SSLCertificateChainFile directives set_cert_path = cert_path self.aug.set(path["cert_path"][-1], cert_path) self.aug.set(path["cert_key"][-1], key_path) if chain_path is not None: self.parser.add_dir(vhost.path, "SSLCertificateChainFile", chain_path) else: raise errors.PluginError("--chain-path is required for your " "version of Apache") else: if not fullchain_path: raise errors.PluginError("Please provide the --fullchain-path " "option pointing to your full chain file") set_cert_path = fullchain_path self.aug.set(path["cert_path"][-1], fullchain_path) self.aug.set(path["cert_key"][-1], key_path) # Enable the new vhost if needed if not vhost.enabled: self.enable_site(vhost) # Save notes about the transaction that took place self.save_notes += ("Changed vhost at %s with addresses of %s\n" "\tSSLCertificateFile %s\n" "\tSSLCertificateKeyFile %s\n" % (vhost.filep, ", ".join(str(addr) for addr in vhost.addrs), set_cert_path, key_path)) if chain_path is not None: self.save_notes += "\tSSLCertificateChainFile %s\n" % chain_path def choose_vhost(self, target_name, create_if_no_ssl=True): """Chooses a virtual host based on the given domain name. If there is no clear virtual host to be selected, the user is prompted with all available choices. The returned vhost is guaranteed to have TLS enabled unless create_if_no_ssl is set to False, in which case there is no such guarantee and the result is not cached. :param str target_name: domain name :param bool create_if_no_ssl: If found VirtualHost doesn't have a HTTPS counterpart, should one get created :returns: vhost associated with name :rtype: :class:`~certbot_apache.obj.VirtualHost` :raises .errors.PluginError: If no vhost is available or chosen """ # Allows for domain names to be associated with a virtual host if target_name in self.assoc: return self.assoc[target_name] # Try to find a reasonable vhost vhost = self._find_best_vhost(target_name) if vhost is not None: if not create_if_no_ssl: return vhost if not vhost.ssl: vhost = self.make_vhost_ssl(vhost) self._add_servername_alias(target_name, vhost) self.assoc[target_name] = vhost return vhost # Negate create_if_no_ssl value to indicate if we want a SSL vhost # to get created if a non-ssl vhost is selected. return self._choose_vhost_from_list(target_name, temp=not create_if_no_ssl) def _choose_vhost_from_list(self, target_name, temp=False): # Select a vhost from a list vhost = display_ops.select_vhost(target_name, self.vhosts) if vhost is None: logger.error( "No vhost exists with servername or alias of %s. " "No vhost was selected. Please specify ServerName or ServerAlias " "in the Apache config.", target_name) raise errors.PluginError("No vhost selected") elif temp: return vhost elif not vhost.ssl: addrs = self._get_proposed_addrs(vhost, "443") # TODO: Conflicts is too conservative if not any(vhost.enabled and vhost.conflicts(addrs) for vhost in self.vhosts): vhost = self.make_vhost_ssl(vhost) else: logger.error( "The selected vhost would conflict with other HTTPS " "VirtualHosts within Apache. Please select another " "vhost or add ServerNames to your configuration.") raise errors.PluginError( "VirtualHost not able to be selected.") self._add_servername_alias(target_name, vhost) self.assoc[target_name] = vhost return vhost def domain_in_names(self, names, target_name): """Checks if target domain is covered by one or more of the provided names. The target name is matched by wildcard as well as exact match. :param names: server aliases :type names: `collections.Iterable` of `str` :param str target_name: name to compare with wildcards :returns: True if target_name is covered by a wildcard, otherwise, False :rtype: bool """ # use lowercase strings because fnmatch can be case sensitive target_name = target_name.lower() for name in names: name = name.lower() # fnmatch treats "[seq]" specially and [ or ] characters aren't # valid in Apache but Apache doesn't error out if they are present if "[" not in name and fnmatch.fnmatch(target_name, name): return True return False def find_best_http_vhost(self, target, filter_defaults, port="80"): """Returns non-HTTPS vhost objects found from the Apache config :param str target: Domain name of the desired VirtualHost :param bool filter_defaults: whether _default_ vhosts should be included if it is the best match :param str port: port number the vhost should be listening on :returns: VirtualHost object that's the best match for target name :rtype: `obj.VirtualHost` or None """ filtered_vhosts = [] for vhost in self.vhosts: if any(a.is_wildcard() or a.get_port() == port for a in vhost.addrs) and not vhost.ssl: filtered_vhosts.append(vhost) return self._find_best_vhost(target, filtered_vhosts, filter_defaults) def _find_best_vhost(self, target_name, vhosts=None, filter_defaults=True): """Finds the best vhost for a target_name. This does not upgrade a vhost to HTTPS... it only finds the most appropriate vhost for the given target_name. :param str target_name: domain handled by the desired vhost :param vhosts: vhosts to consider :type vhosts: `collections.Iterable` of :class:`~certbot_apache.obj.VirtualHost` :param bool filter_defaults: whether a vhost with a _default_ addr is acceptable :returns: VHost or None """ # Points 6 - Servername SSL # Points 5 - Wildcard SSL # Points 4 - Address name with SSL # Points 3 - Servername no SSL # Points 2 - Wildcard no SSL # Points 1 - Address name with no SSL best_candidate = None best_points = 0 if vhosts is None: vhosts = self.vhosts for vhost in vhosts: if vhost.modmacro is True: continue names = vhost.get_names() if target_name in names: points = 3 elif self.domain_in_names(names, target_name): points = 2 elif any(addr.get_addr() == target_name for addr in vhost.addrs): points = 1 else: # No points given if names can't be found. # This gets hit but doesn't register continue # pragma: no cover if vhost.ssl: points += 3 if points > best_points: best_points = points best_candidate = vhost # No winners here... is there only one reasonable vhost? if best_candidate is None: if filter_defaults: vhosts = self._non_default_vhosts(vhosts) # remove mod_macro hosts from reasonable vhosts reasonable_vhosts = [vh for vh in vhosts if vh.modmacro is False] if len(reasonable_vhosts) == 1: best_candidate = reasonable_vhosts[0] return best_candidate def _non_default_vhosts(self, vhosts): """Return all non _default_ only vhosts.""" return [vh for vh in vhosts if not all( addr.get_addr() == "_default_" for addr in vh.addrs )] def get_all_names(self): """Returns all names found in the Apache Configuration. :returns: All ServerNames, ServerAliases, and reverse DNS entries for virtual host addresses :rtype: set """ all_names = set() # type: Set[str] vhost_macro = [] for vhost in self.vhosts: all_names.update(vhost.get_names()) if vhost.modmacro: vhost_macro.append(vhost.filep) for addr in vhost.addrs: if common.hostname_regex.match(addr.get_addr()): all_names.add(addr.get_addr()) else: name = self.get_name_from_ip(addr) if name: all_names.add(name) if len(vhost_macro) > 0: zope.component.getUtility(interfaces.IDisplay).notification( "Apache mod_macro seems to be in use in file(s):\n{0}" "\n\nUnfortunately mod_macro is not yet supported".format( "\n ".join(vhost_macro)), force_interactive=True) return util.get_filtered_names(all_names) def get_name_from_ip(self, addr): # pylint: disable=no-self-use """Returns a reverse dns name if available. :param addr: IP Address :type addr: ~.common.Addr :returns: name or empty string if name cannot be determined :rtype: str """ # If it isn't a private IP, do a reverse DNS lookup if not common.private_ips_regex.match(addr.get_addr()): try: socket.inet_aton(addr.get_addr()) return socket.gethostbyaddr(addr.get_addr())[0] except (socket.error, socket.herror, socket.timeout): pass return "" def _get_vhost_names(self, path): """Helper method for getting the ServerName and ServerAlias values from vhost in path :param path: Path to read ServerName and ServerAliases from :returns: Tuple including ServerName and `list` of ServerAlias strings """ servername_match = self.parser.find_dir( "ServerName", None, start=path, exclude=False) serveralias_match = self.parser.find_dir( "ServerAlias", None, start=path, exclude=False) serveraliases = [] for alias in serveralias_match: serveralias = self.parser.get_arg(alias) serveraliases.append(serveralias) servername = None if servername_match: # Get last ServerName as each overwrites the previous servername = self.parser.get_arg(servername_match[-1]) return (servername, serveraliases) def _add_servernames(self, host): """Helper function for get_virtual_hosts(). :param host: In progress vhost whose names will be added :type host: :class:`~certbot_apache.obj.VirtualHost` """ servername, serveraliases = self._get_vhost_names(host.path) for alias in serveraliases: if not host.modmacro: host.aliases.add(alias) if not host.modmacro: host.name = servername def _create_vhost(self, path): """Used by get_virtual_hosts to create vhost objects :param str path: Augeas path to virtual host :returns: newly created vhost :rtype: :class:`~certbot_apache.obj.VirtualHost` """ addrs = set() try: args = self.aug.match(path + "/arg") except RuntimeError: logger.warning("Encountered a problem while parsing file: %s, skipping", path) return None for arg in args: addrs.add(obj.Addr.fromstring(self.parser.get_arg(arg))) is_ssl = False if self.parser.find_dir("SSLEngine", "on", start=path, exclude=False): is_ssl = True # "SSLEngine on" might be set outside of <VirtualHost> # Treat vhosts with port 443 as ssl vhosts for addr in addrs: if addr.get_port() == "443": is_ssl = True filename = apache_util.get_file_path( self.aug.get("/augeas/files%s/path" % apache_util.get_file_path(path))) if filename is None: return None macro = False if "/macro/" in path.lower(): macro = True vhost_enabled = self.parser.parsed_in_original(filename) vhost = obj.VirtualHost(filename, path, addrs, is_ssl, vhost_enabled, modmacro=macro) self._add_servernames(vhost) return vhost def get_virtual_hosts(self): """Returns list of virtual hosts found in the Apache configuration. :returns: List of :class:`~certbot_apache.obj.VirtualHost` objects found in configuration :rtype: list """ # Search base config, and all included paths for VirtualHosts file_paths = {} # type: Dict[str, str] internal_paths = defaultdict(set) # type: DefaultDict[str, Set[str]] vhs = [] # Make a list of parser paths because the parser_paths # dictionary may be modified during the loop. for vhost_path in list(self.parser.parser_paths): paths = self.aug.match( ("/files%s//*[label()=~regexp('%s')]" % (vhost_path, parser.case_i("VirtualHost")))) paths = [path for path in paths if "virtualhost" in os.path.basename(path).lower()] for path in paths: new_vhost = self._create_vhost(path) if not new_vhost: continue internal_path = apache_util.get_internal_aug_path(new_vhost.path) realpath = os.path.realpath(new_vhost.filep) if realpath not in file_paths: file_paths[realpath] = new_vhost.filep internal_paths[realpath].add(internal_path) vhs.append(new_vhost) elif (realpath == new_vhost.filep and realpath != file_paths[realpath]): # Prefer "real" vhost paths instead of symlinked ones # ex: sites-enabled/vh.conf -> sites-available/vh.conf # remove old (most likely) symlinked one new_vhs = [] for v in vhs: if v.filep == file_paths[realpath]: internal_paths[realpath].remove( apache_util.get_internal_aug_path(v.path)) else: new_vhs.append(v) vhs = new_vhs file_paths[realpath] = realpath internal_paths[realpath].add(internal_path) vhs.append(new_vhost) elif internal_path not in internal_paths[realpath]: internal_paths[realpath].add(internal_path) vhs.append(new_vhost) return vhs def is_name_vhost(self, target_addr): """Returns if vhost is a name based vhost NameVirtualHost was deprecated in Apache 2.4 as all VirtualHosts are now NameVirtualHosts. If version is earlier than 2.4, check if addr has a NameVirtualHost directive in the Apache config :param certbot_apache.obj.Addr target_addr: vhost address :returns: Success :rtype: bool """ # Mixed and matched wildcard NameVirtualHost with VirtualHost # behavior is undefined. Make sure that an exact match exists # search for NameVirtualHost directive for ip_addr # note ip_addr can be FQDN although Apache does not recommend it return (self.version >= (2, 4) or self.parser.find_dir("NameVirtualHost", str(target_addr))) def add_name_vhost(self, addr): """Adds NameVirtualHost directive for given address. :param addr: Address that will be added as NameVirtualHost directive :type addr: :class:`~certbot_apache.obj.Addr` """ loc = parser.get_aug_path(self.parser.loc["name"]) if addr.get_port() == "443": path = self.parser.add_dir_to_ifmodssl( loc, "NameVirtualHost", [str(addr)]) else: path = self.parser.add_dir(loc, "NameVirtualHost", [str(addr)]) msg = ("Setting %s to be NameBasedVirtualHost\n" "\tDirective added to %s\n" % (addr, path)) logger.debug(msg) self.save_notes += msg def prepare_server_https(self, port, temp=False): """Prepare the server for HTTPS. Make sure that the ssl_module is loaded and that the server is appropriately listening on port. :param str port: Port to listen on """ self.prepare_https_modules(temp) self.ensure_listen(port, https=True) def ensure_listen(self, port, https=False): """Make sure that Apache is listening on the port. Checks if the Listen statement for the port already exists, and adds it to the configuration if necessary. :param str port: Port number to check and add Listen for if not in place already :param bool https: If the port will be used for HTTPS """ # If HTTPS requested for nonstandard port, add service definition if https and port != "443": port_service = "%s %s" % (port, "https") else: port_service = port # Check for Listen <port> # Note: This could be made to also look for ip:443 combo listens = [self.parser.get_arg(x).split()[0] for x in self.parser.find_dir("Listen")] # Listen already in place if self._has_port_already(listens, port): return listen_dirs = set(listens) if not listens: listen_dirs.add(port_service) for listen in listens: # For any listen statement, check if the machine also listens on # the given port. If not, add such a listen statement. if len(listen.split(":")) == 1: # Its listening to all interfaces if port not in listen_dirs and port_service not in listen_dirs: listen_dirs.add(port_service) else: # The Listen statement specifies an ip _, ip = listen[::-1].split(":", 1) ip = ip[::-1] if "%s:%s" % (ip, port_service) not in listen_dirs and ( "%s:%s" % (ip, port_service) not in listen_dirs): listen_dirs.add("%s:%s" % (ip, port_service)) if https: self._add_listens_https(listen_dirs, listens, port) else: self._add_listens_http(listen_dirs, listens, port) def _add_listens_http(self, listens, listens_orig, port): """Helper method for ensure_listen to figure out which new listen statements need adding for listening HTTP on port :param set listens: Set of all needed Listen statements :param list listens_orig: List of existing listen statements :param string port: Port number we're adding """ new_listens = listens.difference(listens_orig) if port in new_listens: # We have wildcard, skip the rest self.parser.add_dir(parser.get_aug_path(self.parser.loc["listen"]), "Listen", port) self.save_notes += "Added Listen %s directive to %s\n" % ( port, self.parser.loc["listen"]) else: for listen in new_listens: self.parser.add_dir(parser.get_aug_path( self.parser.loc["listen"]), "Listen", listen.split(" ")) self.save_notes += ("Added Listen %s directive to " "%s\n") % (listen, self.parser.loc["listen"]) def _add_listens_https(self, listens, listens_orig, port): """Helper method for ensure_listen to figure out which new listen statements need adding for listening HTTPS on port :param set listens: Set of all needed Listen statements :param list listens_orig: List of existing listen statements :param string port: Port number we're adding """ # Add service definition for non-standard ports if port != "443": port_service = "%s %s" % (port, "https") else: port_service = port new_listens = listens.difference(listens_orig) if port in new_listens or port_service in new_listens: # We have wildcard, skip the rest self.parser.add_dir_to_ifmodssl( parser.get_aug_path(self.parser.loc["listen"]), "Listen", port_service.split(" ")) self.save_notes += "Added Listen %s directive to %s\n" % ( port_service, self.parser.loc["listen"]) else: for listen in new_listens: self.parser.add_dir_to_ifmodssl( parser.get_aug_path(self.parser.loc["listen"]), "Listen", listen.split(" ")) self.save_notes += ("Added Listen %s directive to " "%s\n") % (listen, self.parser.loc["listen"]) def _has_port_already(self, listens, port): """Helper method for prepare_server_https to find out if user already has an active Listen statement for the port we need :param list listens: List of listen variables :param string port: Port in question """ if port in listens: return True # Check if Apache is already listening on a specific IP for listen in listens: if len(listen.split(":")) > 1: # Ugly but takes care of protocol def, eg: 1.1.1.1:443 https if listen.split(":")[-1].split(" ")[0] == port: return True def prepare_https_modules(self, temp): """Helper method for prepare_server_https, taking care of enabling needed modules :param boolean temp: If the change is temporary """ if self.option("handle_modules"): if self.version >= (2, 4) and ("socache_shmcb_module" not in self.parser.modules): self.enable_mod("socache_shmcb", temp=temp) if "ssl_module" not in self.parser.modules: self.enable_mod("ssl", temp=temp) def make_addrs_sni_ready(self, addrs): """Checks to see if the server is ready for SNI challenges. :param addrs: Addresses to check SNI compatibility :type addrs: :class:`~certbot_apache.obj.Addr` """ # Version 2.4 and later are automatically SNI ready. if self.version >= (2, 4): return for addr in addrs: if not self.is_name_vhost(addr): logger.debug("Setting VirtualHost at %s to be a name " "based virtual host", addr) self.add_name_vhost(addr) def make_vhost_ssl(self, nonssl_vhost): # pylint: disable=too-many-locals """Makes an ssl_vhost version of a nonssl_vhost. Duplicates vhost and adds default ssl options New vhost will reside as (nonssl_vhost.path) + ``self.option("le_vhost_ext")`` .. note:: This function saves the configuration :param nonssl_vhost: Valid VH that doesn't have SSLEngine on :type nonssl_vhost: :class:`~certbot_apache.obj.VirtualHost` :returns: SSL vhost :rtype: :class:`~certbot_apache.obj.VirtualHost` :raises .errors.PluginError: If more than one virtual host is in the file or if plugin is unable to write/read vhost files. """ avail_fp = nonssl_vhost.filep ssl_fp = self._get_ssl_vhost_path(avail_fp) orig_matches = self.aug.match("/files%s//* [label()=~regexp('%s')]" % (self._escape(ssl_fp), parser.case_i("VirtualHost"))) self._copy_create_ssl_vhost_skeleton(nonssl_vhost, ssl_fp) # Reload augeas to take into account the new vhost self.aug.load() # Get Vhost augeas path for new vhost new_matches = self.aug.match("/files%s//* [label()=~regexp('%s')]" % (self._escape(ssl_fp), parser.case_i("VirtualHost"))) vh_p = self._get_new_vh_path(orig_matches, new_matches) if not vh_p: # The vhost was not found on the currently parsed paths # Make Augeas aware of the new vhost self.parser.parse_file(ssl_fp) # Try to search again new_matches = self.aug.match( "/files%s//* [label()=~regexp('%s')]" % (self._escape(ssl_fp), parser.case_i("VirtualHost"))) vh_p = self._get_new_vh_path(orig_matches, new_matches) if not vh_p: raise errors.PluginError( "Could not reverse map the HTTPS VirtualHost to the original") # Update Addresses self._update_ssl_vhosts_addrs(vh_p) # Log actions and create save notes logger.info("Created an SSL vhost at %s", ssl_fp) self.save_notes += "Created ssl vhost at %s\n" % ssl_fp self.save() # We know the length is one because of the assertion above # Create the Vhost object ssl_vhost = self._create_vhost(vh_p) ssl_vhost.ancestor = nonssl_vhost self.vhosts.append(ssl_vhost) # NOTE: Searches through Augeas seem to ruin changes to directives # The configuration must also be saved before being searched # for the new directives; For these reasons... this is tacked # on after fully creating the new vhost # Now check if addresses need to be added as NameBasedVhost addrs # This is for compliance with versions of Apache < 2.4 self._add_name_vhost_if_necessary(ssl_vhost) return ssl_vhost def _get_new_vh_path(self, orig_matches, new_matches): """ Helper method for make_vhost_ssl for matching augeas paths. Returns VirtualHost path from new_matches that's not present in orig_matches. Paths are normalized, because augeas leaves indices out for paths with only single directive with a similar key """ orig_matches = [i.replace("[1]", "") for i in orig_matches] for match in new_matches: if match.replace("[1]", "") not in orig_matches: # Return the unmodified path return match return None def _get_ssl_vhost_path(self, non_ssl_vh_fp): """ Get a file path for SSL vhost, uses user defined path as priority, but if the value is invalid or not defined, will fall back to non-ssl vhost filepath. :param str non_ssl_vh_fp: Filepath of non-SSL vhost :returns: Filepath for SSL vhost :rtype: str """ if self.conf("vhost-root") and os.path.exists(self.conf("vhost-root")): fp = os.path.join(os.path.realpath(self.option("vhost_root")), os.path.basename(non_ssl_vh_fp)) else: # Use non-ssl filepath fp = os.path.realpath(non_ssl_vh_fp) if fp.endswith(".conf"): return fp[:-(len(".conf"))] + self.option("le_vhost_ext") else: return fp + self.option("le_vhost_ext") def _sift_rewrite_rule(self, line): """Decides whether a line should be copied to a SSL vhost. A canonical example of when sifting a line is required: When the http vhost contains a RewriteRule that unconditionally redirects any request to the https version of the same site. e.g: RewriteRule ^ https://%{SERVER_NAME}%{REQUEST_URI} [L,QSA,R=permanent] Copying the above line to the ssl vhost would cause a redirection loop. :param str line: a line extracted from the http vhost. :returns: True - don't copy line from http vhost to SSL vhost. :rtype: bool """ if not line.lower().lstrip().startswith("rewriterule"): return False # According to: http://httpd.apache.org/docs/2.4/rewrite/flags.html # The syntax of a RewriteRule is: # RewriteRule pattern target [Flag1,Flag2,Flag3] # i.e. target is required, so it must exist. target = line.split()[2].strip() # target may be surrounded with quotes if target[0] in ("'", '"') and target[0] == target[-1]: target = target[1:-1] # Sift line if it redirects the request to a HTTPS site return target.startswith("https://") def _copy_create_ssl_vhost_skeleton(self, vhost, ssl_fp): """Copies over existing Vhost with IfModule mod_ssl.c> skeleton. :param obj.VirtualHost vhost: Original VirtualHost object :param str ssl_fp: Full path where the new ssl_vhost will reside. A new file is created on the filesystem. """ # First register the creation so that it is properly removed if # configuration is rolled back if os.path.exists(ssl_fp): notes = "Appended new VirtualHost directive to file %s" % ssl_fp files = set() files.add(ssl_fp) self.reverter.add_to_checkpoint(files, notes) else: self.reverter.register_file_creation(False, ssl_fp) sift = False try: orig_contents = self._get_vhost_block(vhost) ssl_vh_contents, sift = self._sift_rewrite_rules(orig_contents) with open(ssl_fp, "a") as new_file: new_file.write("<IfModule mod_ssl.c>\n") new_file.write("\n".join(ssl_vh_contents)) # The content does not include the closing tag, so add it new_file.write("</VirtualHost>\n") new_file.write("</IfModule>\n") # Add new file to augeas paths if we're supposed to handle # activation (it's not included as default) if not self.parser.parsed_in_current(ssl_fp): self.parser.parse_file(ssl_fp) except IOError: logger.critical("Error writing/reading to file in make_vhost_ssl", exc_info=True) raise errors.PluginError("Unable to write/read in make_vhost_ssl") if sift: reporter = zope.component.getUtility(interfaces.IReporter) reporter.add_message( "Some rewrite rules copied from {0} were disabled in the " "vhost for your HTTPS site located at {1} because they have " "the potential to create redirection loops.".format( vhost.filep, ssl_fp), reporter.MEDIUM_PRIORITY) self.aug.set("/augeas/files%s/mtime" % (self._escape(ssl_fp)), "0") self.aug.set("/augeas/files%s/mtime" % (self._escape(vhost.filep)), "0") def _sift_rewrite_rules(self, contents): """ Helper function for _copy_create_ssl_vhost_skeleton to prepare the new HTTPS VirtualHost contents. Currently disabling the rewrites """ result = [] sift = False contents = iter(contents) comment = ("# Some rewrite rules in this file were " "disabled on your HTTPS site,\n" "# because they have the potential to create " "redirection loops.\n") for line in contents: A = line.lower().lstrip().startswith("rewritecond") B = line.lower().lstrip().startswith("rewriterule") if not (A or B): result.append(line) continue # A RewriteRule that doesn't need filtering if B and not self._sift_rewrite_rule(line): result.append(line) continue # A RewriteRule that does need filtering if B and self._sift_rewrite_rule(line): if not sift: result.append(comment) sift = True result.append("# " + line) continue # We save RewriteCond(s) and their corresponding # RewriteRule in 'chunk'. # We then decide whether we comment out the entire # chunk based on its RewriteRule. chunk = [] if A: chunk.append(line) line = next(contents) # RewriteCond(s) must be followed by one RewriteRule while not line.lower().lstrip().startswith("rewriterule"): chunk.append(line) line = next(contents) # Now, current line must start with a RewriteRule chunk.append(line) if self._sift_rewrite_rule(line): if not sift: result.append(comment) sift = True result.append('\n'.join( ['# ' + l for l in chunk])) continue else: result.append('\n'.join(chunk)) continue return result, sift def _get_vhost_block(self, vhost): """ Helper method to get VirtualHost contents from the original file. This is done with help of augeas span, which returns the span start and end positions :returns: `list` of VirtualHost block content lines without closing tag """ try: span_val = self.aug.span(vhost.path) except ValueError: logger.critical("Error while reading the VirtualHost %s from " "file %s", vhost.name, vhost.filep, exc_info=True) raise errors.PluginError("Unable to read VirtualHost from file") span_filep = span_val[0] span_start = span_val[5] span_end = span_val[6] with open(span_filep, 'r') as fh: fh.seek(span_start) vh_contents = fh.read(span_end-span_start).split("\n") self._remove_closing_vhost_tag(vh_contents) return vh_contents def _remove_closing_vhost_tag(self, vh_contents): """Removes the closing VirtualHost tag if it exists. This method modifies vh_contents directly to remove the closing tag. If the closing vhost tag is found, everything on the line after it is also removed. Whether or not this tag is included in the result of span depends on the Augeas version. :param list vh_contents: VirtualHost block contents to check """ for offset, line in enumerate(reversed(vh_contents)): if line: line_index = line.lower().find("</virtualhost>") if line_index != -1: content_index = len(vh_contents) - offset - 1 vh_contents[content_index] = line[:line_index] break def _update_ssl_vhosts_addrs(self, vh_path): ssl_addrs = set() ssl_addr_p = self.aug.match(vh_path + "/arg") for addr in ssl_addr_p: old_addr = obj.Addr.fromstring( str(self.parser.get_arg(addr))) ssl_addr = old_addr.get_addr_obj("443") self.aug.set(addr, str(ssl_addr)) ssl_addrs.add(ssl_addr) return ssl_addrs def _clean_vhost(self, vhost): # remove duplicated or conflicting ssl directives self._deduplicate_directives(vhost.path, ["SSLCertificateFile", "SSLCertificateKeyFile"]) # remove all problematic directives self._remove_directives(vhost.path, ["SSLCertificateChainFile"]) def _deduplicate_directives(self, vh_path, directives): for directive in directives: while len(self.parser.find_dir(directive, None, vh_path, False)) > 1: directive_path = self.parser.find_dir(directive, None, vh_path, False) self.aug.remove(re.sub(r"/\w*$", "", directive_path[0])) def _remove_directives(self, vh_path, directives): for directive in directives: while len(self.parser.find_dir(directive, None, vh_path, False)) > 0: directive_path = self.parser.find_dir(directive, None, vh_path, False) self.aug.remove(re.sub(r"/\w*$", "", directive_path[0])) def _add_dummy_ssl_directives(self, vh_path): self.parser.add_dir(vh_path, "SSLCertificateFile", "insert_cert_file_path") self.parser.add_dir(vh_path, "SSLCertificateKeyFile", "insert_key_file_path") # Only include the TLS configuration if not already included existing_inc = self.parser.find_dir("Include", self.mod_ssl_conf, vh_path) if not existing_inc: self.parser.add_dir(vh_path, "Include", self.mod_ssl_conf) def _add_servername_alias(self, target_name, vhost): vh_path = vhost.path sname, saliases = self._get_vhost_names(vh_path) if target_name == sname or target_name in saliases: return if self._has_matching_wildcard(vh_path, target_name): return if not self.parser.find_dir("ServerName", None, start=vh_path, exclude=False): self.parser.add_dir(vh_path, "ServerName", target_name) else: self.parser.add_dir(vh_path, "ServerAlias", target_name) self._add_servernames(vhost) def _has_matching_wildcard(self, vh_path, target_name): """Is target_name already included in a wildcard in the vhost? :param str vh_path: Augeas path to the vhost :param str target_name: name to compare with wildcards :returns: True if there is a wildcard covering target_name in the vhost in vhost_path, otherwise, False :rtype: bool """ matches = self.parser.find_dir( "ServerAlias", start=vh_path, exclude=False) aliases = (self.aug.get(match) for match in matches) return self.domain_in_names(aliases, target_name) def _add_name_vhost_if_necessary(self, vhost): """Add NameVirtualHost Directives if necessary for new vhost. NameVirtualHosts was a directive in Apache < 2.4 https://httpd.apache.org/docs/2.2/mod/core.html#namevirtualhost :param vhost: New virtual host that was recently created. :type vhost: :class:`~certbot_apache.obj.VirtualHost` """ need_to_save = False # See if the exact address appears in any other vhost # Remember 1.1.1.1:* == 1.1.1.1 -> hence any() for addr in vhost.addrs: # In Apache 2.2, when a NameVirtualHost directive is not # set, "*" and "_default_" will conflict when sharing a port addrs = set((addr,)) if addr.get_addr() in ("*", "_default_"): addrs.update(obj.Addr((a, addr.get_port(),)) for a in ("*", "_default_")) for test_vh in self.vhosts: if (vhost.filep != test_vh.filep and any(test_addr in addrs for test_addr in test_vh.addrs) and not self.is_name_vhost(addr)): self.add_name_vhost(addr) logger.info("Enabling NameVirtualHosts on %s", addr) need_to_save = True break if need_to_save: self.save() def find_vhost_by_id(self, id_str): """ Searches through VirtualHosts and tries to match the id in a comment :param str id_str: Id string for matching :returns: The matched VirtualHost or None :rtype: :class:`~certbot_apache.obj.VirtualHost` or None :raises .errors.PluginError: If no VirtualHost is found """ for vh in self.vhosts: if self._find_vhost_id(vh) == id_str: return vh msg = "No VirtualHost with ID {} was found.".format(id_str) logger.warning(msg) raise errors.PluginError(msg) def _find_vhost_id(self, vhost): """Tries to find the unique ID from the VirtualHost comments. This is used for keeping track of VirtualHost directive over time. :param vhost: Virtual host to add the id :type vhost: :class:`~certbot_apache.obj.VirtualHost` :returns: The unique ID or None :rtype: str or None """ # Strip the {} off from the format string search_comment = constants.MANAGED_COMMENT_ID.format("") id_comment = self.parser.find_comments(search_comment, vhost.path) if id_comment: # Use the first value, multiple ones shouldn't exist comment = self.parser.get_arg(id_comment[0]) return comment.split(" ")[-1] return None def add_vhost_id(self, vhost): """Adds an unique ID to the VirtualHost as a comment for mapping back to it on later invocations, as the config file order might have changed. If ID already exists, returns that instead. :param vhost: Virtual host to add or find the id :type vhost: :class:`~certbot_apache.obj.VirtualHost` :returns: The unique ID for vhost :rtype: str or None """ vh_id = self._find_vhost_id(vhost) if vh_id: return vh_id id_string = apache_util.unique_id() comment = constants.MANAGED_COMMENT_ID.format(id_string) self.parser.add_comment(vhost.path, comment) return id_string def _escape(self, fp): fp = fp.replace(",", "\\,") fp = fp.replace("[", "\\[") fp = fp.replace("]", "\\]") fp = fp.replace("|", "\\|") fp = fp.replace("=", "\\=") fp = fp.replace("(", "\$") fp = fp.replace(")", "\$") fp = fp.replace("!", "\\!") return fp ###################################################################### # Enhancements ###################################################################### def supported_enhancements(self): # pylint: disable=no-self-use """Returns currently supported enhancements.""" return ["redirect", "ensure-http-header", "staple-ocsp"] def enhance(self, domain, enhancement, options=None): """Enhance configuration. :param str domain: domain to enhance :param str enhancement: enhancement type defined in :const:`~certbot.constants.ENHANCEMENTS` :param options: options for the enhancement See :const:`~certbot.constants.ENHANCEMENTS` documentation for appropriate parameter. :raises .errors.PluginError: If Enhancement is not supported, or if there is any other problem with the enhancement. """ try: func = self._enhance_func[enhancement] except KeyError: raise errors.PluginError( "Unsupported enhancement: {0}".format(enhancement)) matched_vhosts = self.choose_vhosts(domain, create_if_no_ssl=False) # We should be handling only SSL vhosts for enhancements vhosts = [vhost for vhost in matched_vhosts if vhost.ssl] if not vhosts: msg_tmpl = ("Certbot was not able to find SSL VirtualHost for a " "domain {0} for enabling enhancement \"{1}\". The requested " "enhancement was not configured.") msg_enhancement = enhancement if options: msg_enhancement += ": " + options msg = msg_tmpl.format(domain, msg_enhancement) logger.warning(msg) raise errors.PluginError(msg) try: for vhost in vhosts: func(vhost, options) except errors.PluginError: logger.warning("Failed %s for %s", enhancement, domain) raise def _autohsts_increase(self, vhost, id_str, nextstep): """Increase the AutoHSTS max-age value :param vhost: Virtual host object to modify :type vhost: :class:`~certbot_apache.obj.VirtualHost` :param str id_str: The unique ID string of VirtualHost :param int nextstep: Next AutoHSTS max-age value index """ nextstep_value = constants.AUTOHSTS_STEPS[nextstep] self._autohsts_write(vhost, nextstep_value) self._autohsts[id_str] = {"laststep": nextstep, "timestamp": time.time()} def _autohsts_write(self, vhost, nextstep_value): """ Write the new HSTS max-age value to the VirtualHost file """ hsts_dirpath = None header_path = self.parser.find_dir("Header", None, vhost.path) if header_path: pat = '(?:[ "]|^)(strict-transport-security)(?:[ "]|$)' for match in header_path: if re.search(pat, self.aug.get(match).lower()): hsts_dirpath = match if not hsts_dirpath: err_msg = ("Certbot was unable to find the existing HSTS header " "from the VirtualHost at path {0}.").format(vhost.filep) raise errors.PluginError(err_msg) # Prepare the HSTS header value hsts_maxage = "\"max-age={0}\"".format(nextstep_value) # Update the header # Our match statement was for string strict-transport-security, but # we need to update the value instead. The next index is for the value hsts_dirpath = hsts_dirpath.replace("arg[3]", "arg[4]") self.aug.set(hsts_dirpath, hsts_maxage) note_msg = ("Increasing HSTS max-age value to {0} for VirtualHost " "in {1}\n".format(nextstep_value, vhost.filep)) logger.debug(note_msg) self.save_notes += note_msg self.save(note_msg) def _autohsts_fetch_state(self): """ Populates the AutoHSTS state from the pluginstorage """ try: self._autohsts = self.storage.fetch("autohsts") except KeyError: self._autohsts = dict() def _autohsts_save_state(self): """ Saves the state of AutoHSTS object to pluginstorage """ self.storage.put("autohsts", self._autohsts) self.storage.save() def _autohsts_vhost_in_lineage(self, vhost, lineage): """ Searches AutoHSTS managed VirtualHosts that belong to the lineage. Matches the private key path. """ return bool( self.parser.find_dir("SSLCertificateKeyFile", lineage.key_path, vhost.path)) def _enable_ocsp_stapling(self, ssl_vhost, unused_options): """Enables OCSP Stapling In OCSP, each client (e.g. browser) would have to query the OCSP Responder to validate that the site certificate was not revoked. Enabling OCSP Stapling, would allow the web-server to query the OCSP Responder, and staple its response to the offered certificate during TLS. i.e. clients would not have to query the OCSP responder. OCSP Stapling enablement on Apache implicitly depends on SSLCertificateChainFile being set by other code. .. note:: This function saves the configuration :param ssl_vhost: Destination of traffic, an ssl enabled vhost :type ssl_vhost: :class:`~certbot_apache.obj.VirtualHost` :param unused_options: Not currently used :type unused_options: Not Available :returns: Success, general_vhost (HTTP vhost) :rtype: (bool, :class:`~certbot_apache.obj.VirtualHost`) """ min_apache_ver = (2, 3, 3) if self.get_version() < min_apache_ver: raise errors.PluginError( "Unable to set OCSP directives.\n" "Apache version is below 2.3.3.") if "socache_shmcb_module" not in self.parser.modules: self.enable_mod("socache_shmcb") # Check if there's an existing SSLUseStapling directive on. use_stapling_aug_path = self.parser.find_dir("SSLUseStapling", "on", start=ssl_vhost.path) if not use_stapling_aug_path: self.parser.add_dir(ssl_vhost.path, "SSLUseStapling", "on") ssl_vhost_aug_path = self._escape(parser.get_aug_path(ssl_vhost.filep)) # Check if there's an existing SSLStaplingCache directive. stapling_cache_aug_path = self.parser.find_dir('SSLStaplingCache', None, ssl_vhost_aug_path) # We'll simply delete the directive, so that we'll have a # consistent OCSP cache path. if stapling_cache_aug_path: self.aug.remove( re.sub(r"/\w*$", "", stapling_cache_aug_path[0])) self.parser.add_dir_to_ifmodssl(ssl_vhost_aug_path, "SSLStaplingCache", ["shmcb:/var/run/apache2/stapling_cache(128000)"]) msg = "OCSP Stapling was enabled on SSL Vhost: %s.\n"%( ssl_vhost.filep) self.save_notes += msg self.save() logger.info(msg) def _set_http_header(self, ssl_vhost, header_substring): """Enables header that is identified by header_substring on ssl_vhost. If the header identified by header_substring is not already set, a new Header directive is placed in ssl_vhost's configuration with arguments from: constants.HTTP_HEADER[header_substring] .. note:: This function saves the configuration :param ssl_vhost: Destination of traffic, an ssl enabled vhost :type ssl_vhost: :class:`~certbot_apache.obj.VirtualHost` :param header_substring: string that uniquely identifies a header. e.g: Strict-Transport-Security, Upgrade-Insecure-Requests. :type str :returns: Success, general_vhost (HTTP vhost) :rtype: (bool, :class:`~certbot_apache.obj.VirtualHost`) :raises .errors.PluginError: If no viable HTTP host can be created or set with header header_substring. """ if "headers_module" not in self.parser.modules: self.enable_mod("headers") # Check if selected header is already set self._verify_no_matching_http_header(ssl_vhost, header_substring) # Add directives to server self.parser.add_dir(ssl_vhost.path, "Header", constants.HEADER_ARGS[header_substring]) self.save_notes += ("Adding %s header to ssl vhost in %s\n" % (header_substring, ssl_vhost.filep)) self.save() logger.info("Adding %s header to ssl vhost in %s", header_substring, ssl_vhost.filep) def _verify_no_matching_http_header(self, ssl_vhost, header_substring): """Checks to see if an there is an existing Header directive that contains the string header_substring. :param ssl_vhost: vhost to check :type vhost: :class:`~certbot_apache.obj.VirtualHost` :param header_substring: string that uniquely identifies a header. e.g: Strict-Transport-Security, Upgrade-Insecure-Requests. :type str :returns: boolean :rtype: (bool) :raises errors.PluginEnhancementAlreadyPresent When header header_substring exists """ header_path = self.parser.find_dir("Header", None, start=ssl_vhost.path) if header_path: # "Existing Header directive for virtualhost" pat = '(?:[ "]|^)(%s)(?:[ "]|$)' % (header_substring.lower()) for match in header_path: if re.search(pat, self.aug.get(match).lower()): raise errors.PluginEnhancementAlreadyPresent( "Existing %s header" % (header_substring)) def _enable_redirect(self, ssl_vhost, unused_options): """Redirect all equivalent HTTP traffic to ssl_vhost. .. todo:: This enhancement should be rewritten and will unfortunately require lots of debugging by hand. Adds Redirect directive to the port 80 equivalent of ssl_vhost First the function attempts to find the vhost with equivalent ip addresses that serves on non-ssl ports The function then adds the directive .. note:: This function saves the configuration :param ssl_vhost: Destination of traffic, an ssl enabled vhost :type ssl_vhost: :class:`~certbot_apache.obj.VirtualHost` :param unused_options: Not currently used :type unused_options: Not Available :raises .errors.PluginError: If no viable HTTP host can be created or used for the redirect. """ if "rewrite_module" not in self.parser.modules: self.enable_mod("rewrite") general_vh = self._get_http_vhost(ssl_vhost) if general_vh is None: # Add virtual_server with redirect logger.debug("Did not find http version of ssl virtual host " "attempting to create") redirect_addrs = self._get_proposed_addrs(ssl_vhost) for vhost in self.vhosts: if vhost.enabled and vhost.conflicts(redirect_addrs): raise errors.PluginError( "Unable to find corresponding HTTP vhost; " "Unable to create one as intended addresses conflict; " "Current configuration does not support automated " "redirection") self._create_redirect_vhost(ssl_vhost) else: if general_vh in self._enhanced_vhosts["redirect"]: logger.debug("Already enabled redirect for this vhost") return # Check if Certbot redirection already exists self._verify_no_certbot_redirect(general_vh) # Note: if code flow gets here it means we didn't find the exact # certbot RewriteRule config for redirection. Finding # another RewriteRule is likely to be fine in most or all cases, # but redirect loops are possible in very obscure cases; see #1620 # for reasoning. if self._is_rewrite_exists(general_vh): logger.warning("Added an HTTP->HTTPS rewrite in addition to " "other RewriteRules; you may wish to check for " "overall consistency.") # Add directives to server # Note: These are not immediately searchable in sites-enabled # even with save() and load() if not self._is_rewrite_engine_on(general_vh): self.parser.add_dir(general_vh.path, "RewriteEngine", "on") names = ssl_vhost.get_names() for idx, name in enumerate(names): args = ["%{SERVER_NAME}", "={0}".format(name), "[OR]"] if idx == len(names) - 1: args.pop() self.parser.add_dir(general_vh.path, "RewriteCond", args) self._set_https_redirection_rewrite_rule(general_vh) self.save_notes += ("Redirecting host in %s to ssl vhost in %s\n" % (general_vh.filep, ssl_vhost.filep)) self.save() self._enhanced_vhosts["redirect"].add(general_vh) logger.info("Redirecting vhost in %s to ssl vhost in %s", general_vh.filep, ssl_vhost.filep) def _set_https_redirection_rewrite_rule(self, vhost): if self.get_version() >= (2, 3, 9): self.parser.add_dir(vhost.path, "RewriteRule", constants.REWRITE_HTTPS_ARGS_WITH_END) else: self.parser.add_dir(vhost.path, "RewriteRule", constants.REWRITE_HTTPS_ARGS) def _verify_no_certbot_redirect(self, vhost): """Checks to see if a redirect was already installed by certbot. Checks to see if virtualhost already contains a rewrite rule that is identical to Certbot's redirection rewrite rule. For graceful transition to new rewrite rules for HTTPS redireciton we delete certbot's old rewrite rules and set the new one instead. :param vhost: vhost to check :type vhost: :class:`~certbot_apache.obj.VirtualHost` :raises errors.PluginEnhancementAlreadyPresent: When the exact certbot redirection WriteRule exists in virtual host. """ rewrite_path = self.parser.find_dir( "RewriteRule", None, start=vhost.path) # There can be other RewriteRule directive lines in vhost config. # rewrite_args_dict keys are directive ids and the corresponding value # for each is a list of arguments to that directive. rewrite_args_dict = defaultdict(list) # type: DefaultDict[str, List[str]] pat = r'(.*directive\[\d+\]).*' for match in rewrite_path: m = re.match(pat, match) if m: dir_path = m.group(1) rewrite_args_dict[dir_path].append(match) if rewrite_args_dict: redirect_args = [constants.REWRITE_HTTPS_ARGS, constants.REWRITE_HTTPS_ARGS_WITH_END] for dir_path, args_paths in rewrite_args_dict.items(): arg_vals = [self.aug.get(x) for x in args_paths] # Search for past redirection rule, delete it, set the new one if arg_vals in constants.OLD_REWRITE_HTTPS_ARGS: self.aug.remove(dir_path) self._set_https_redirection_rewrite_rule(vhost) self.save() raise errors.PluginEnhancementAlreadyPresent( "Certbot has already enabled redirection") if arg_vals in redirect_args: raise errors.PluginEnhancementAlreadyPresent( "Certbot has already enabled redirection") def _is_rewrite_exists(self, vhost): """Checks if there exists a RewriteRule directive in vhost :param vhost: vhost to check :type vhost: :class:`~certbot_apache.obj.VirtualHost` :returns: True if a RewriteRule directive exists. :rtype: bool """ rewrite_path = self.parser.find_dir( "RewriteRule", None, start=vhost.path) return bool(rewrite_path) def _is_rewrite_engine_on(self, vhost): """Checks if a RewriteEngine directive is on :param vhost: vhost to check :type vhost: :class:`~certbot_apache.obj.VirtualHost` """ rewrite_engine_path_list = self.parser.find_dir("RewriteEngine", "on", start=vhost.path) if rewrite_engine_path_list: for re_path in rewrite_engine_path_list: # A RewriteEngine directive may also be included in per # directory .htaccess files. We only care about the VirtualHost. if 'virtualhost' in re_path.lower(): return self.parser.get_arg(re_path) return False def _create_redirect_vhost(self, ssl_vhost): """Creates an http_vhost specifically to redirect for the ssl_vhost. :param ssl_vhost: ssl vhost :type ssl_vhost: :class:`~certbot_apache.obj.VirtualHost` :returns: tuple of the form (`success`, :class:`~certbot_apache.obj.VirtualHost`) :rtype: tuple """ text = self._get_redirect_config_str(ssl_vhost) redirect_filepath = self._write_out_redirect(ssl_vhost, text) self.aug.load() # Make a new vhost data structure and add it to the lists new_vhost = self._create_vhost(parser.get_aug_path(self._escape(redirect_filepath))) self.vhosts.append(new_vhost) self._enhanced_vhosts["redirect"].add(new_vhost) # Finally create documentation for the change self.save_notes += ("Created a port 80 vhost, %s, for redirection to " "ssl vhost %s\n" % (new_vhost.filep, ssl_vhost.filep)) def _get_redirect_config_str(self, ssl_vhost): # get servernames and serveraliases serveralias = "" servername = "" if ssl_vhost.name is not None: servername = "ServerName " + ssl_vhost.name if ssl_vhost.aliases: serveralias = "ServerAlias " + " ".join(ssl_vhost.aliases) rewrite_rule_args = [] # type: List[str] if self.get_version() >= (2, 3, 9): rewrite_rule_args = constants.REWRITE_HTTPS_ARGS_WITH_END else: rewrite_rule_args = constants.REWRITE_HTTPS_ARGS return ("<VirtualHost %s>\n" "%s \n" "%s \n" "ServerSignature Off\n" "\n" "RewriteEngine On\n" "RewriteRule %s\n" "\n" "ErrorLog %s/redirect.error.log\n" "LogLevel warn\n" "</VirtualHost>\n" % (" ".join(str(addr) for addr in self._get_proposed_addrs(ssl_vhost)), servername, serveralias, " ".join(rewrite_rule_args), self.option("logs_root"))) def _write_out_redirect(self, ssl_vhost, text): # This is the default name redirect_filename = "le-redirect.conf" # See if a more appropriate name can be applied if ssl_vhost.name is not None: # make sure servername doesn't exceed filename length restriction if len(ssl_vhost.name) < (255 - (len(redirect_filename) + 1)): redirect_filename = "le-redirect-%s.conf" % ssl_vhost.name redirect_filepath = os.path.join(self.option("vhost_root"), redirect_filename) # Register the new file that will be created # Note: always register the creation before writing to ensure file will # be removed in case of unexpected program exit self.reverter.register_file_creation(False, redirect_filepath) # Write out file with open(redirect_filepath, "w") as redirect_file: redirect_file.write(text) # Add new include to configuration if it doesn't exist yet if not self.parser.parsed_in_current(redirect_filepath): self.parser.parse_file(redirect_filepath) logger.info("Created redirect file: %s", redirect_filename) return redirect_filepath def _get_http_vhost(self, ssl_vhost): """Find appropriate HTTP vhost for ssl_vhost.""" # First candidate vhosts filter if ssl_vhost.ancestor: return ssl_vhost.ancestor candidate_http_vhs = [ vhost for vhost in self.vhosts if not vhost.ssl ] # Second filter - check addresses for http_vh in candidate_http_vhs: if http_vh.same_server(ssl_vhost): return http_vh # Third filter - if none with same names, return generic for http_vh in candidate_http_vhs: if http_vh.same_server(ssl_vhost, generic=True): return http_vh return None def _get_proposed_addrs(self, vhost, port="80"): """Return all addrs of vhost with the port replaced with the specified. :param obj.VirtualHost ssl_vhost: Original Vhost :param str port: Desired port for new addresses :returns: `set` of :class:`~obj.Addr` """ redirects = set() for addr in vhost.addrs: redirects.add(addr.get_addr_obj(port)) return redirects def enable_site(self, vhost): """Enables an available site, Apache reload required. .. note:: Does not make sure that the site correctly works or that all modules are enabled appropriately. .. note:: The distribution specific override replaces functionality of this method where available. :param vhost: vhost to enable :type vhost: :class:`~certbot_apache.obj.VirtualHost` :raises .errors.NotSupportedError: If filesystem layout is not supported. """ if vhost.enabled: return if not self.parser.parsed_in_original(vhost.filep): # Add direct include to root conf logger.info("Enabling site %s by adding Include to root configuration", vhost.filep) self.save_notes += "Enabled site %s\n" % vhost.filep self.parser.add_include(self.parser.loc["default"], vhost.filep) vhost.enabled = True return def enable_mod(self, mod_name, temp=False): # pylint: disable=unused-argument """Enables module in Apache. Both enables and reloads Apache so module is active. :param str mod_name: Name of the module to enable. (e.g. 'ssl') :param bool temp: Whether or not this is a temporary action. .. note:: The distribution specific override replaces functionality of this method where available. :raises .errors.MisconfigurationError: We cannot enable modules in generic fashion. """ mod_message = ("Apache needs to have module \"{0}\" active for the " + "requested installation options. Unfortunately Certbot is unable " + "to install or enable it for you. Please install the module, and " + "run Certbot again.") raise errors.MisconfigurationError(mod_message.format(mod_name)) def restart(self): """Runs a config test and reloads the Apache server. :raises .errors.MisconfigurationError: If either the config test or reload fails. """ self.config_test() self._reload() def _reload(self): """Reloads the Apache server. :raises .errors.MisconfigurationError: If reload fails """ error = "" try: util.run_script(self.option("restart_cmd")) except errors.SubprocessError as err: logger.info("Unable to restart apache using %s", self.option("restart_cmd")) alt_restart = self.option("restart_cmd_alt") if alt_restart: logger.debug("Trying alternative restart command: %s", alt_restart) # There is an alternative restart command available # This usually is "restart" verb while original is "graceful" try: util.run_script(self.option( "restart_cmd_alt")) return except errors.SubprocessError as secerr: error = str(secerr) else: error = str(err) raise errors.MisconfigurationError(error) def config_test(self): # pylint: disable=no-self-use """Check the configuration of Apache for errors. :raises .errors.MisconfigurationError: If config_test fails """ try: util.run_script(self.option("conftest_cmd")) except errors.SubprocessError as err: raise errors.MisconfigurationError(str(err)) def get_version(self): """Return version of Apache Server. Version is returned as tuple. (ie. 2.4.7 = (2, 4, 7)) :returns: version :rtype: tuple :raises .PluginError: if unable to find Apache version """ try: stdout, _ = util.run_script(self.option("version_cmd")) except errors.SubprocessError: raise errors.PluginError( "Unable to run %s -v" % self.option("version_cmd")) regex = re.compile(r"Apache/([0-9\.]*)", re.IGNORECASE) matches = regex.findall(stdout) if len(matches) != 1: raise errors.PluginError("Unable to find Apache version") return tuple([int(i) for i in matches[0].split(".")]) def more_info(self): """Human-readable string to help understand the module""" return ( "Configures Apache to authenticate and install HTTPS.{0}" "Server root: {root}{0}" "Version: {version}".format( os.linesep, root=self.parser.loc["root"], version=".".join(str(i) for i in self.version)) ) ########################################################################### # Challenges Section ########################################################################### def get_chall_pref(self, unused_domain): # pylint: disable=no-self-use """Return list of challenge preferences.""" return [challenges.HTTP01, challenges.TLSSNI01] def perform(self, achalls): """Perform the configuration related challenge. This function currently assumes all challenges will be fulfilled. If this turns out not to be the case in the future. Cleanup and outstanding challenges will have to be designed better. """ self._chall_out.update(achalls) responses = [None] * len(achalls) http_doer = http_01.ApacheHttp01(self) sni_doer = tls_sni_01.ApacheTlsSni01(self) for i, achall in enumerate(achalls): # Currently also have chall_doer hold associated index of the # challenge. This helps to put all of the responses back together # when they are all complete. if isinstance(achall.chall, challenges.HTTP01): http_doer.add_chall(achall, i) else: # tls-sni-01 sni_doer.add_chall(achall, i) http_response = http_doer.perform() sni_response = sni_doer.perform() if http_response or sni_response: # Must reload in order to activate the challenges. # Handled here because we may be able to load up other challenge # types self.restart() # TODO: Remove this dirty hack. We need to determine a reliable way # of identifying when the new configuration is being used. time.sleep(3) self._update_responses(responses, http_response, http_doer) self._update_responses(responses, sni_response, sni_doer) return responses def _update_responses(self, responses, chall_response, chall_doer): # Go through all of the challenges and assign them to the proper # place in the responses return value. All responses must be in the # same order as the original challenges. for i, resp in enumerate(chall_response): responses[chall_doer.indices[i]] = resp def cleanup(self, achalls): """Revert all challenges.""" self._chall_out.difference_update(achalls) # If all of the challenges have been finished, clean up everything if not self._chall_out: self.revert_challenge_config() self.restart() self.parser.reset_modules() def install_ssl_options_conf(self, options_ssl, options_ssl_digest): """Copy Certbot's SSL options file into the system's config dir if required.""" # XXX if we ever try to enforce a local privilege boundary (eg, running # certbot for unprivileged users via setuid), this function will need # to be modified. return common.install_version_controlled_file(options_ssl, options_ssl_digest, self.option("MOD_SSL_CONF_SRC"), constants.ALL_SSL_OPTIONS_HASHES) def enable_autohsts(self, _unused_lineage, domains): """ Enable the AutoHSTS enhancement for defined domains :param _unused_lineage: Certificate lineage object, unused :type _unused_lineage: certbot.storage.RenewableCert :param domains: List of domains in certificate to enhance :type domains: str """ self._autohsts_fetch_state() _enhanced_vhosts = [] for d in domains: matched_vhosts = self.choose_vhosts(d, create_if_no_ssl=False) # We should be handling only SSL vhosts for AutoHSTS vhosts = [vhost for vhost in matched_vhosts if vhost.ssl] if not vhosts: msg_tmpl = ("Certbot was not able to find SSL VirtualHost for a " "domain {0} for enabling AutoHSTS enhancement.") msg = msg_tmpl.format(d) logger.warning(msg) raise errors.PluginError(msg) for vh in vhosts: try: self._enable_autohsts_domain(vh) _enhanced_vhosts.append(vh) except errors.PluginEnhancementAlreadyPresent: if vh in _enhanced_vhosts: continue msg = ("VirtualHost for domain {0} in file {1} has a " + "String-Transport-Security header present, exiting.") raise errors.PluginEnhancementAlreadyPresent( msg.format(d, vh.filep)) if _enhanced_vhosts: note_msg = "Enabling AutoHSTS" self.save(note_msg) logger.info(note_msg) self.restart() # Save the current state to pluginstorage self._autohsts_save_state() def _enable_autohsts_domain(self, ssl_vhost): """Do the initial AutoHSTS deployment to a vhost :param ssl_vhost: The VirtualHost object to deploy the AutoHSTS :type ssl_vhost: :class:`~certbot_apache.obj.VirtualHost` or None :raises errors.PluginEnhancementAlreadyPresent: When already enhanced """ # This raises the exception self._verify_no_matching_http_header(ssl_vhost, "Strict-Transport-Security") if "headers_module" not in self.parser.modules: self.enable_mod("headers") # Prepare the HSTS header value hsts_header = constants.HEADER_ARGS["Strict-Transport-Security"][:-1] initial_maxage = constants.AUTOHSTS_STEPS[0] hsts_header.append("\"max-age={0}\"".format(initial_maxage)) # Add ID to the VirtualHost for mapping back to it later uniq_id = self.add_vhost_id(ssl_vhost) self.save_notes += "Adding unique ID {0} to VirtualHost in {1}\n".format( uniq_id, ssl_vhost.filep) # Add the actual HSTS header self.parser.add_dir(ssl_vhost.path, "Header", hsts_header) note_msg = ("Adding gradually increasing HSTS header with initial value " "of {0} to VirtualHost in {1}\n".format( initial_maxage, ssl_vhost.filep)) self.save_notes += note_msg # Save the current state to pluginstorage self._autohsts[uniq_id] = {"laststep": 0, "timestamp": time.time()} def update_autohsts(self, _unused_domain): """ Increase the AutoHSTS values of VirtualHosts that the user has enabled this enhancement for. :param _unused_domain: Not currently used :type _unused_domain: Not Available """ self._autohsts_fetch_state() if not self._autohsts: # No AutoHSTS enabled for any domain return curtime = time.time() save_and_restart = False for id_str, config in list(self._autohsts.items()): if config["timestamp"] + constants.AUTOHSTS_FREQ > curtime: # Skip if last increase was < AUTOHSTS_FREQ ago continue nextstep = config["laststep"] + 1 if nextstep < len(constants.AUTOHSTS_STEPS): # If installer hasn't been prepared yet, do it now if not self._prepared: self.prepare() # Have not reached the max value yet try: vhost = self.find_vhost_by_id(id_str) except errors.PluginError: msg = ("Could not find VirtualHost with ID {0}, disabling " "AutoHSTS for this VirtualHost").format(id_str) logger.warning(msg) # Remove the orphaned AutoHSTS entry from pluginstorage self._autohsts.pop(id_str) continue self._autohsts_increase(vhost, id_str, nextstep) msg = ("Increasing HSTS max-age value for VirtualHost with id " "{0}").format(id_str) self.save_notes += msg save_and_restart = True if save_and_restart: self.save("Increased HSTS max-age values") self.restart() self._autohsts_save_state() def deploy_autohsts(self, lineage): """ Checks if autohsts vhost has reached maximum auto-increased value and changes the HSTS max-age to a high value. :param lineage: Certificate lineage object :type lineage: certbot.storage.RenewableCert """ self._autohsts_fetch_state() if not self._autohsts: # No autohsts enabled for any vhost return vhosts = [] affected_ids = [] # Copy, as we are removing from the dict inside the loop for id_str, config in list(self._autohsts.items()): if config["laststep"]+1 >= len(constants.AUTOHSTS_STEPS): # max value reached, try to make permanent try: vhost = self.find_vhost_by_id(id_str) except errors.PluginError: msg = ("VirtualHost with id {} was not found, unable to " "make HSTS max-age permanent.").format(id_str) logger.warning(msg) self._autohsts.pop(id_str) continue if self._autohsts_vhost_in_lineage(vhost, lineage): vhosts.append(vhost) affected_ids.append(id_str) save_and_restart = False for vhost in vhosts: self._autohsts_write(vhost, constants.AUTOHSTS_PERMANENT) msg = ("Strict-Transport-Security max-age value for " "VirtualHost in {0} was made permanent.").format(vhost.filep) logger.debug(msg) self.save_notes += msg+"\n" save_and_restart = True if save_and_restart: self.save("Made HSTS max-age permanent") self.restart() for id_str in affected_ids: self._autohsts.pop(id_str) # Update AutoHSTS storage (We potentially removed vhosts from managed) self._autohsts_save_state() AutoHSTSEnhancement.register(ApacheConfigurator) # pylint: disable=no-member

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0.601316

import copy import fnmatch import logging import os import pkg_resources import re import six import socket import time import zope.component import zope.interface from acme import challenges from acme.magic_typing import Any, DefaultDict, Dict, List, Set, Union from certbot import errors from certbot import interfaces from certbot import util from certbot.achallenges import KeyAuthorizationAnnotatedChallenge from certbot.plugins import common from certbot.plugins.util import path_surgery from certbot.plugins.enhancements import AutoHSTSEnhancement from certbot_apache import apache_util from certbot_apache import augeas_configurator from certbot_apache import constants from certbot_apache import display_ops from certbot_apache import http_01 from certbot_apache import obj from certbot_apache import parser from certbot_apache import tls_sni_01 from collections import defaultdict logger = logging.getLogger(__name__) # This is not able to be completely remedied by regular expressions because # Augeas views <VirtualHost> </Virtualhost> as an error. This will just # require another check_parsing_errors() after all files are included... # (after a find_directive search is executed currently). It can be a one # time check however because all of LE's transactions will ensure # recognize names in sites-enabled that have spaces. These are not added to the # Apache configuration. It may be wise to warn the user if they are trying # to use vhost filenames that contain spaces and offer to change ' ' to '_' # Note: FILEPATHS and changes to files are transactional. They are copied # over before the updates are made to the existing files. NEW_FILES is # transactional due to the use of register_file_creation() # TODO: Verify permissions on configuration root... it is easier than # checking permissions on each of the relative directories and less error # prone. # TODO: Write a server protocol finder. Listen <port> <protocol> or # Protocol <protocol>. This can verify partial setups are correct # TODO: Add directives to sites-enabled... not sites-available. # sites-available doesn't allow immediate find_dir search even with save() @zope.interface.implementer(interfaces.IAuthenticator, interfaces.IInstaller) @zope.interface.provider(interfaces.IPluginFactory) class ApacheConfigurator(augeas_configurator.AugeasConfigurator): description = "Apache Web Server plugin" if os.environ.get("CERTBOT_DOCS") == "1": description += ( " (Please note that the default values of the Apache plugin options" " change depending on the operating system Certbot is run on.)" ) OS_DEFAULTS = dict( server_root="/etc/apache2", vhost_root="/etc/apache2/sites-available", vhost_files="*", logs_root="/var/log/apache2", ctl="apache2ctl", version_cmd=['apache2ctl', '-v'], restart_cmd=['apache2ctl', 'graceful'], conftest_cmd=['apache2ctl', 'configtest'], enmod=None, dismod=None, le_vhost_ext="-le-ssl.conf", handle_modules=False, handle_sites=False, challenge_location="/etc/apache2", MOD_SSL_CONF_SRC=pkg_resources.resource_filename( "certbot_apache", "options-ssl-apache.conf") ) def option(self, key): return self.options.get(key) def _prepare_options(self): opts = ["enmod", "dismod", "le_vhost_ext", "server_root", "vhost_root", "logs_root", "challenge_location", "handle_modules", "handle_sites", "ctl"] for o in opts: if self.conf(o.replace("_", "-")) is not None: self.options[o] = self.conf(o.replace("_", "-")) else: self.options[o] = self.OS_DEFAULTS[o] self.options["version_cmd"][0] = self.option("ctl") self.options["restart_cmd"][0] = self.option("ctl") self.options["conftest_cmd"][0] = self.option("ctl") @classmethod def add_parser_arguments(cls, add): if os.environ.get("CERTBOT_DOCS") == "1": DEFAULTS = ApacheConfigurator.OS_DEFAULTS else: DEFAULTS = cls.OS_DEFAULTS add("enmod", default=DEFAULTS["enmod"], help="Path to the Apache 'a2enmod' binary") add("dismod", default=DEFAULTS["dismod"], help="Path to the Apache 'a2dismod' binary") add("le-vhost-ext", default=DEFAULTS["le_vhost_ext"], help="SSL vhost configuration extension") add("server-root", default=DEFAULTS["server_root"], help="Apache server root directory") add("vhost-root", default=None, help="Apache server VirtualHost configuration root") add("logs-root", default=DEFAULTS["logs_root"], help="Apache server logs directory") add("challenge-location", default=DEFAULTS["challenge_location"], help="Directory path for challenge configuration") add("handle-modules", default=DEFAULTS["handle_modules"], help="Let installer handle enabling required modules for you " + "(Only Ubuntu/Debian currently)") add("handle-sites", default=DEFAULTS["handle_sites"], help="Let installer handle enabling sites for you " + "(Only Ubuntu/Debian currently)") add("ctl", default=DEFAULTS["ctl"], help="Full path to Apache control script") util.add_deprecated_argument( add, argument_name="init-script", nargs=1) def __init__(self, *args, **kwargs): version = kwargs.pop("version", None) super(ApacheConfigurator, self).__init__(*args, **kwargs) self.assoc = dict() self._chall_out = set() self._wildcard_vhosts = dict() self._enhanced_vhosts = defaultdict(set) # type: DefaultDict[str, Set[obj.VirtualHost]] # Temporary state for AutoHSTS enhancement self._autohsts = {} # type: Dict[str, Dict[str, Union[int, float]]] # These will be set in the prepare function self._prepared = False self.parser = None self.version = version self.vhosts = None self.options = copy.deepcopy(self.OS_DEFAULTS) self._enhance_func = {"redirect": self._enable_redirect, "ensure-http-header": self._set_http_header, "staple-ocsp": self._enable_ocsp_stapling} @property def mod_ssl_conf(self): return os.path.join(self.config.config_dir, constants.MOD_SSL_CONF_DEST) @property def updated_mod_ssl_conf_digest(self): return os.path.join(self.config.config_dir, constants.UPDATED_MOD_SSL_CONF_DIGEST) def prepare(self): # Perform the actual Augeas initialization to be able to react try: self.init_augeas() except ImportError: raise errors.NoInstallationError("Problem in Augeas installation") self._prepare_options() # Verify Apache is installed self._verify_exe_availability(self.option("ctl")) # Make sure configuration is valid self.config_test() # Set Version if self.version is None: self.version = self.get_version() logger.debug('Apache version is %s', '.'.join(str(i) for i in self.version)) if self.version < (2, 2): raise errors.NotSupportedError( "Apache Version %s not supported.", str(self.version)) if not self._check_aug_version(): raise errors.NotSupportedError( "Apache plugin support requires libaugeas0 and augeas-lenses " "version 1.2.0 or higher, please make sure you have you have " "those installed.") self.parser = self.get_parser() # Check for errors in parsing files with Augeas self.check_parsing_errors("httpd.aug") # Get all of the available vhosts self.vhosts = self.get_virtual_hosts() self.install_ssl_options_conf(self.mod_ssl_conf, self.updated_mod_ssl_conf_digest) # Prevent two Apache plugins from modifying a config at once try: util.lock_dir_until_exit(self.option("server_root")) except (OSError, errors.LockError): logger.debug("Encountered error:", exc_info=True) raise errors.PluginError( "Unable to lock %s", self.option("server_root")) self._prepared = True def _verify_exe_availability(self, exe): if not util.exe_exists(exe): if not path_surgery(exe): raise errors.NoInstallationError( 'Cannot find Apache executable {0}'.format(exe)) def _check_aug_version(self): self.aug.set("/test/path/testing/arg", "aRgUMeNT") try: matches = self.aug.match( "/test//*[self::arg=~regexp('argument', 'i')]") except RuntimeError: self.aug.remove("/test/path") return False self.aug.remove("/test/path") return matches def get_parser(self): # If user provided vhost_root value in command line, use it return parser.ApacheParser( self.aug, self.option("server_root"), self.conf("vhost-root"), self.version, configurator=self) def _wildcard_domain(self, domain): if isinstance(domain, six.text_type): wildcard_marker = u"*." else: wildcard_marker = b"*." return domain.startswith(wildcard_marker) def deploy_cert(self, domain, cert_path, key_path, chain_path=None, fullchain_path=None): vhosts = self.choose_vhosts(domain) for vhost in vhosts: self._deploy_cert(vhost, cert_path, key_path, chain_path, fullchain_path) def choose_vhosts(self, domain, create_if_no_ssl=True): if self._wildcard_domain(domain): if domain in self._wildcard_vhosts: # Vhosts for a wildcard domain were already selected return self._wildcard_vhosts[domain] # Ask user which VHosts to support. # Returned objects are guaranteed to be ssl vhosts return self._choose_vhosts_wildcard(domain, create_if_no_ssl) else: return [self.choose_vhost(domain, create_if_no_ssl)] def _vhosts_for_wildcard(self, domain): # Collect all vhosts that match the name matched = set() for vhost in self.vhosts: for name in vhost.get_names(): if self._in_wildcard_scope(name, domain): matched.add(vhost) return list(matched) def _in_wildcard_scope(self, name, domain): if len(name.split(".")) == len(domain.split(".")): return fnmatch.fnmatch(name, domain) def _choose_vhosts_wildcard(self, domain, create_ssl=True): # Get all vhosts that are covered by the wildcard domain vhosts = self._vhosts_for_wildcard(domain) # Go through the vhosts, making sure that we cover all the names # present, but preferring the SSL vhosts filtered_vhosts = dict() for vhost in vhosts: for name in vhost.get_names(): if vhost.ssl: # Always prefer SSL vhosts filtered_vhosts[name] = vhost elif name not in filtered_vhosts and create_ssl: # Add if not in list previously filtered_vhosts[name] = vhost # Only unique VHost objects dialog_input = set([vhost for vhost in filtered_vhosts.values()]) # Ask the user which of names to enable, expect list of names back dialog_output = display_ops.select_vhost_multiple(list(dialog_input)) if not dialog_output: logger.error( "No vhost exists with servername or alias for domain %s. " "No vhost was selected. Please specify ServerName or ServerAlias " "in the Apache config.", domain) raise errors.PluginError("No vhost selected") # Make sure we create SSL vhosts for the ones that are HTTP only # if requested. return_vhosts = list() for vhost in dialog_output: if not vhost.ssl: return_vhosts.append(self.make_vhost_ssl(vhost)) else: return_vhosts.append(vhost) self._wildcard_vhosts[domain] = return_vhosts return return_vhosts def _deploy_cert(self, vhost, cert_path, key_path, chain_path, fullchain_path): # This is done first so that ssl module is enabled and cert_path, # cert_key... can all be parsed appropriately self.prepare_server_https("443") # Add directives and remove duplicates self._add_dummy_ssl_directives(vhost.path) self._clean_vhost(vhost) path = {"cert_path": self.parser.find_dir("SSLCertificateFile", None, vhost.path), "cert_key": self.parser.find_dir("SSLCertificateKeyFile", None, vhost.path)} # Only include if a certificate chain is specified if chain_path is not None: path["chain_path"] = self.parser.find_dir( "SSLCertificateChainFile", None, vhost.path) # Handle errors when certificate/key directives cannot be found if not path["cert_path"]: logger.warning( "Cannot find an SSLCertificateFile directive in %s. " "VirtualHost was not modified", vhost.path) raise errors.PluginError( "Unable to find an SSLCertificateFile directive") elif not path["cert_key"]: logger.warning( "Cannot find an SSLCertificateKeyFile directive for " "certificate in %s. VirtualHost was not modified", vhost.path) raise errors.PluginError( "Unable to find an SSLCertificateKeyFile directive for " "certificate") logger.info("Deploying Certificate to VirtualHost %s", vhost.filep) if self.version < (2, 4, 8) or (chain_path and not fullchain_path): # install SSLCertificateFile, SSLCertificateKeyFile, # and SSLCertificateChainFile directives set_cert_path = cert_path self.aug.set(path["cert_path"][-1], cert_path) self.aug.set(path["cert_key"][-1], key_path) if chain_path is not None: self.parser.add_dir(vhost.path, "SSLCertificateChainFile", chain_path) else: raise errors.PluginError("--chain-path is required for your " "version of Apache") else: if not fullchain_path: raise errors.PluginError("Please provide the --fullchain-path " "option pointing to your full chain file") set_cert_path = fullchain_path self.aug.set(path["cert_path"][-1], fullchain_path) self.aug.set(path["cert_key"][-1], key_path) # Enable the new vhost if needed if not vhost.enabled: self.enable_site(vhost) # Save notes about the transaction that took place self.save_notes += ("Changed vhost at %s with addresses of %s\n" "\tSSLCertificateFile %s\n" "\tSSLCertificateKeyFile %s\n" % (vhost.filep, ", ".join(str(addr) for addr in vhost.addrs), set_cert_path, key_path)) if chain_path is not None: self.save_notes += "\tSSLCertificateChainFile %s\n" % chain_path def choose_vhost(self, target_name, create_if_no_ssl=True): # Allows for domain names to be associated with a virtual host if target_name in self.assoc: return self.assoc[target_name] # Try to find a reasonable vhost vhost = self._find_best_vhost(target_name) if vhost is not None: if not create_if_no_ssl: return vhost if not vhost.ssl: vhost = self.make_vhost_ssl(vhost) self._add_servername_alias(target_name, vhost) self.assoc[target_name] = vhost return vhost # Negate create_if_no_ssl value to indicate if we want a SSL vhost # to get created if a non-ssl vhost is selected. return self._choose_vhost_from_list(target_name, temp=not create_if_no_ssl) def _choose_vhost_from_list(self, target_name, temp=False): # Select a vhost from a list vhost = display_ops.select_vhost(target_name, self.vhosts) if vhost is None: logger.error( "No vhost exists with servername or alias of %s. " "No vhost was selected. Please specify ServerName or ServerAlias " "in the Apache config.", target_name) raise errors.PluginError("No vhost selected") elif temp: return vhost elif not vhost.ssl: addrs = self._get_proposed_addrs(vhost, "443") # TODO: Conflicts is too conservative if not any(vhost.enabled and vhost.conflicts(addrs) for vhost in self.vhosts): vhost = self.make_vhost_ssl(vhost) else: logger.error( "The selected vhost would conflict with other HTTPS " "VirtualHosts within Apache. Please select another " "vhost or add ServerNames to your configuration.") raise errors.PluginError( "VirtualHost not able to be selected.") self._add_servername_alias(target_name, vhost) self.assoc[target_name] = vhost return vhost def domain_in_names(self, names, target_name): # use lowercase strings because fnmatch can be case sensitive target_name = target_name.lower() for name in names: name = name.lower() # fnmatch treats "[seq]" specially and [ or ] characters aren't if "[" not in name and fnmatch.fnmatch(target_name, name): return True return False def find_best_http_vhost(self, target, filter_defaults, port="80"): filtered_vhosts = [] for vhost in self.vhosts: if any(a.is_wildcard() or a.get_port() == port for a in vhost.addrs) and not vhost.ssl: filtered_vhosts.append(vhost) return self._find_best_vhost(target, filtered_vhosts, filter_defaults) def _find_best_vhost(self, target_name, vhosts=None, filter_defaults=True): # Points 6 - Servername SSL # Points 5 - Wildcard SSL # Points 4 - Address name with SSL # Points 3 - Servername no SSL # Points 2 - Wildcard no SSL # Points 1 - Address name with no SSL best_candidate = None best_points = 0 if vhosts is None: vhosts = self.vhosts for vhost in vhosts: if vhost.modmacro is True: continue names = vhost.get_names() if target_name in names: points = 3 elif self.domain_in_names(names, target_name): points = 2 elif any(addr.get_addr() == target_name for addr in vhost.addrs): points = 1 else: # No points given if names can't be found. continue # pragma: no cover if vhost.ssl: points += 3 if points > best_points: best_points = points best_candidate = vhost # No winners here... is there only one reasonable vhost? if best_candidate is None: if filter_defaults: vhosts = self._non_default_vhosts(vhosts) # remove mod_macro hosts from reasonable vhosts reasonable_vhosts = [vh for vh in vhosts if vh.modmacro is False] if len(reasonable_vhosts) == 1: best_candidate = reasonable_vhosts[0] return best_candidate def _non_default_vhosts(self, vhosts): return [vh for vh in vhosts if not all( addr.get_addr() == "_default_" for addr in vh.addrs )] def get_all_names(self): all_names = set() # type: Set[str] vhost_macro = [] for vhost in self.vhosts: all_names.update(vhost.get_names()) if vhost.modmacro: vhost_macro.append(vhost.filep) for addr in vhost.addrs: if common.hostname_regex.match(addr.get_addr()): all_names.add(addr.get_addr()) else: name = self.get_name_from_ip(addr) if name: all_names.add(name) if len(vhost_macro) > 0: zope.component.getUtility(interfaces.IDisplay).notification( "Apache mod_macro seems to be in use in file(s):\n{0}" "\n\nUnfortunately mod_macro is not yet supported".format( "\n ".join(vhost_macro)), force_interactive=True) return util.get_filtered_names(all_names) def get_name_from_ip(self, addr): # pylint: disable=no-self-use # If it isn't a private IP, do a reverse DNS lookup if not common.private_ips_regex.match(addr.get_addr()): try: socket.inet_aton(addr.get_addr()) return socket.gethostbyaddr(addr.get_addr())[0] except (socket.error, socket.herror, socket.timeout): pass return "" def _get_vhost_names(self, path): servername_match = self.parser.find_dir( "ServerName", None, start=path, exclude=False) serveralias_match = self.parser.find_dir( "ServerAlias", None, start=path, exclude=False) serveraliases = [] for alias in serveralias_match: serveralias = self.parser.get_arg(alias) serveraliases.append(serveralias) servername = None if servername_match: servername = self.parser.get_arg(servername_match[-1]) return (servername, serveraliases) def _add_servernames(self, host): servername, serveraliases = self._get_vhost_names(host.path) for alias in serveraliases: if not host.modmacro: host.aliases.add(alias) if not host.modmacro: host.name = servername def _create_vhost(self, path): addrs = set() try: args = self.aug.match(path + "/arg") except RuntimeError: logger.warning("Encountered a problem while parsing file: %s, skipping", path) return None for arg in args: addrs.add(obj.Addr.fromstring(self.parser.get_arg(arg))) is_ssl = False if self.parser.find_dir("SSLEngine", "on", start=path, exclude=False): is_ssl = True for addr in addrs: if addr.get_port() == "443": is_ssl = True filename = apache_util.get_file_path( self.aug.get("/augeas/files%s/path" % apache_util.get_file_path(path))) if filename is None: return None macro = False if "/macro/" in path.lower(): macro = True vhost_enabled = self.parser.parsed_in_original(filename) vhost = obj.VirtualHost(filename, path, addrs, is_ssl, vhost_enabled, modmacro=macro) self._add_servernames(vhost) return vhost def get_virtual_hosts(self): file_paths = {} internal_paths = defaultdict(set) vhs = [] for vhost_path in list(self.parser.parser_paths): paths = self.aug.match( ("/files%s//*[label()=~regexp('%s')]" % (vhost_path, parser.case_i("VirtualHost")))) paths = [path for path in paths if "virtualhost" in os.path.basename(path).lower()] for path in paths: new_vhost = self._create_vhost(path) if not new_vhost: continue internal_path = apache_util.get_internal_aug_path(new_vhost.path) realpath = os.path.realpath(new_vhost.filep) if realpath not in file_paths: file_paths[realpath] = new_vhost.filep internal_paths[realpath].add(internal_path) vhs.append(new_vhost) elif (realpath == new_vhost.filep and realpath != file_paths[realpath]): new_vhs = [] for v in vhs: if v.filep == file_paths[realpath]: internal_paths[realpath].remove( apache_util.get_internal_aug_path(v.path)) else: new_vhs.append(v) vhs = new_vhs file_paths[realpath] = realpath internal_paths[realpath].add(internal_path) vhs.append(new_vhost) elif internal_path not in internal_paths[realpath]: internal_paths[realpath].add(internal_path) vhs.append(new_vhost) return vhs def is_name_vhost(self, target_addr): return (self.version >= (2, 4) or self.parser.find_dir("NameVirtualHost", str(target_addr))) def add_name_vhost(self, addr): loc = parser.get_aug_path(self.parser.loc["name"]) if addr.get_port() == "443": path = self.parser.add_dir_to_ifmodssl( loc, "NameVirtualHost", [str(addr)]) else: path = self.parser.add_dir(loc, "NameVirtualHost", [str(addr)]) msg = ("Setting %s to be NameBasedVirtualHost\n" "\tDirective added to %s\n" % (addr, path)) logger.debug(msg) self.save_notes += msg def prepare_server_https(self, port, temp=False): self.prepare_https_modules(temp) self.ensure_listen(port, https=True) def ensure_listen(self, port, https=False): if https and port != "443": port_service = "%s %s" % (port, "https") else: port_service = port listens = [self.parser.get_arg(x).split()[0] for x in self.parser.find_dir("Listen")] if self._has_port_already(listens, port): return listen_dirs = set(listens) if not listens: listen_dirs.add(port_service) for listen in listens: if len(listen.split(":")) == 1: if port not in listen_dirs and port_service not in listen_dirs: listen_dirs.add(port_service) else: _, ip = listen[::-1].split(":", 1) ip = ip[::-1] if "%s:%s" % (ip, port_service) not in listen_dirs and ( "%s:%s" % (ip, port_service) not in listen_dirs): listen_dirs.add("%s:%s" % (ip, port_service)) if https: self._add_listens_https(listen_dirs, listens, port) else: self._add_listens_http(listen_dirs, listens, port) def _add_listens_http(self, listens, listens_orig, port): new_listens = listens.difference(listens_orig) if port in new_listens: self.parser.add_dir(parser.get_aug_path(self.parser.loc["listen"]), "Listen", port) self.save_notes += "Added Listen %s directive to %s\n" % ( port, self.parser.loc["listen"]) else: for listen in new_listens: self.parser.add_dir(parser.get_aug_path( self.parser.loc["listen"]), "Listen", listen.split(" ")) self.save_notes += ("Added Listen %s directive to " "%s\n") % (listen, self.parser.loc["listen"]) def _add_listens_https(self, listens, listens_orig, port): if port != "443": port_service = "%s %s" % (port, "https") else: port_service = port new_listens = listens.difference(listens_orig) if port in new_listens or port_service in new_listens: self.parser.add_dir_to_ifmodssl( parser.get_aug_path(self.parser.loc["listen"]), "Listen", port_service.split(" ")) self.save_notes += "Added Listen %s directive to %s\n" % ( port_service, self.parser.loc["listen"]) else: for listen in new_listens: self.parser.add_dir_to_ifmodssl( parser.get_aug_path(self.parser.loc["listen"]), "Listen", listen.split(" ")) self.save_notes += ("Added Listen %s directive to " "%s\n") % (listen, self.parser.loc["listen"]) def _has_port_already(self, listens, port): if port in listens: return True for listen in listens: if len(listen.split(":")) > 1: if listen.split(":")[-1].split(" ")[0] == port: return True def prepare_https_modules(self, temp): if self.option("handle_modules"): if self.version >= (2, 4) and ("socache_shmcb_module" not in self.parser.modules): self.enable_mod("socache_shmcb", temp=temp) if "ssl_module" not in self.parser.modules: self.enable_mod("ssl", temp=temp) def make_addrs_sni_ready(self, addrs): if self.version >= (2, 4): return for addr in addrs: if not self.is_name_vhost(addr): logger.debug("Setting VirtualHost at %s to be a name " "based virtual host", addr) self.add_name_vhost(addr) def make_vhost_ssl(self, nonssl_vhost): avail_fp = nonssl_vhost.filep ssl_fp = self._get_ssl_vhost_path(avail_fp) orig_matches = self.aug.match("/files%s//* [label()=~regexp('%s')]" % (self._escape(ssl_fp), parser.case_i("VirtualHost"))) self._copy_create_ssl_vhost_skeleton(nonssl_vhost, ssl_fp) self.aug.load() new_matches = self.aug.match("/files%s//* [label()=~regexp('%s')]" % (self._escape(ssl_fp), parser.case_i("VirtualHost"))) vh_p = self._get_new_vh_path(orig_matches, new_matches) if not vh_p: self.parser.parse_file(ssl_fp) new_matches = self.aug.match( "/files%s//* [label()=~regexp('%s')]" % (self._escape(ssl_fp), parser.case_i("VirtualHost"))) vh_p = self._get_new_vh_path(orig_matches, new_matches) if not vh_p: raise errors.PluginError( "Could not reverse map the HTTPS VirtualHost to the original") self._update_ssl_vhosts_addrs(vh_p) logger.info("Created an SSL vhost at %s", ssl_fp) self.save_notes += "Created ssl vhost at %s\n" % ssl_fp self.save() ssl_vhost = self._create_vhost(vh_p) ssl_vhost.ancestor = nonssl_vhost self.vhosts.append(ssl_vhost) self._add_name_vhost_if_necessary(ssl_vhost) return ssl_vhost def _get_new_vh_path(self, orig_matches, new_matches): orig_matches = [i.replace("[1]", "") for i in orig_matches] for match in new_matches: if match.replace("[1]", "") not in orig_matches: return match return None def _get_ssl_vhost_path(self, non_ssl_vh_fp): if self.conf("vhost-root") and os.path.exists(self.conf("vhost-root")): fp = os.path.join(os.path.realpath(self.option("vhost_root")), os.path.basename(non_ssl_vh_fp)) else: fp = os.path.realpath(non_ssl_vh_fp) if fp.endswith(".conf"): return fp[:-(len(".conf"))] + self.option("le_vhost_ext") else: return fp + self.option("le_vhost_ext") def _sift_rewrite_rule(self, line): if not line.lower().lstrip().startswith("rewriterule"): return False target = line.split()[2].strip() if target[0] in ("'", '"') and target[0] == target[-1]: target = target[1:-1] # Sift line if it redirects the request to a HTTPS site return target.startswith("https://") def _copy_create_ssl_vhost_skeleton(self, vhost, ssl_fp): # First register the creation so that it is properly removed if # configuration is rolled back if os.path.exists(ssl_fp): notes = "Appended new VirtualHost directive to file %s" % ssl_fp files = set() files.add(ssl_fp) self.reverter.add_to_checkpoint(files, notes) else: self.reverter.register_file_creation(False, ssl_fp) sift = False try: orig_contents = self._get_vhost_block(vhost) ssl_vh_contents, sift = self._sift_rewrite_rules(orig_contents) with open(ssl_fp, "a") as new_file: new_file.write("<IfModule mod_ssl.c>\n") new_file.write("\n".join(ssl_vh_contents)) # The content does not include the closing tag, so add it new_file.write("</VirtualHost>\n") new_file.write("</IfModule>\n") # Add new file to augeas paths if we're supposed to handle # activation (it's not included as default) if not self.parser.parsed_in_current(ssl_fp): self.parser.parse_file(ssl_fp) except IOError: logger.critical("Error writing/reading to file in make_vhost_ssl", exc_info=True) raise errors.PluginError("Unable to write/read in make_vhost_ssl") if sift: reporter = zope.component.getUtility(interfaces.IReporter) reporter.add_message( "Some rewrite rules copied from {0} were disabled in the " "vhost for your HTTPS site located at {1} because they have " "the potential to create redirection loops.".format( vhost.filep, ssl_fp), reporter.MEDIUM_PRIORITY) self.aug.set("/augeas/files%s/mtime" % (self._escape(ssl_fp)), "0") self.aug.set("/augeas/files%s/mtime" % (self._escape(vhost.filep)), "0") def _sift_rewrite_rules(self, contents): result = [] sift = False contents = iter(contents) comment = ("# Some rewrite rules in this file were " "disabled on your HTTPS site,\n" "# because they have the potential to create " "redirection loops.\n") for line in contents: A = line.lower().lstrip().startswith("rewritecond") B = line.lower().lstrip().startswith("rewriterule") if not (A or B): result.append(line) continue # A RewriteRule that doesn't need filtering if B and not self._sift_rewrite_rule(line): result.append(line) continue # A RewriteRule that does need filtering if B and self._sift_rewrite_rule(line): if not sift: result.append(comment) sift = True result.append(" continue # We save RewriteCond(s) and their corresponding # RewriteRule in 'chunk'. # We then decide whether we comment out the entire # chunk based on its RewriteRule. chunk = [] if A: chunk.append(line) line = next(contents) # RewriteCond(s) must be followed by one RewriteRule while not line.lower().lstrip().startswith("rewriterule"): chunk.append(line) line = next(contents) # Now, current line must start with a RewriteRule chunk.append(line) if self._sift_rewrite_rule(line): if not sift: result.append(comment) sift = True result.append('\n'.join( ['# ' + l for l in chunk])) continue else: result.append('\n'.join(chunk)) continue return result, sift def _get_vhost_block(self, vhost): try: span_val = self.aug.span(vhost.path) except ValueError: logger.critical("Error while reading the VirtualHost %s from " "file %s", vhost.name, vhost.filep, exc_info=True) raise errors.PluginError("Unable to read VirtualHost from file") span_filep = span_val[0] span_start = span_val[5] span_end = span_val[6] with open(span_filep, 'r') as fh: fh.seek(span_start) vh_contents = fh.read(span_end-span_start).split("\n") self._remove_closing_vhost_tag(vh_contents) return vh_contents def _remove_closing_vhost_tag(self, vh_contents): for offset, line in enumerate(reversed(vh_contents)): if line: line_index = line.lower().find("</virtualhost>") if line_index != -1: content_index = len(vh_contents) - offset - 1 vh_contents[content_index] = line[:line_index] break def _update_ssl_vhosts_addrs(self, vh_path): ssl_addrs = set() ssl_addr_p = self.aug.match(vh_path + "/arg") for addr in ssl_addr_p: old_addr = obj.Addr.fromstring( str(self.parser.get_arg(addr))) ssl_addr = old_addr.get_addr_obj("443") self.aug.set(addr, str(ssl_addr)) ssl_addrs.add(ssl_addr) return ssl_addrs def _clean_vhost(self, vhost): # remove duplicated or conflicting ssl directives self._deduplicate_directives(vhost.path, ["SSLCertificateFile", "SSLCertificateKeyFile"]) # remove all problematic directives self._remove_directives(vhost.path, ["SSLCertificateChainFile"]) def _deduplicate_directives(self, vh_path, directives): for directive in directives: while len(self.parser.find_dir(directive, None, vh_path, False)) > 1: directive_path = self.parser.find_dir(directive, None, vh_path, False) self.aug.remove(re.sub(r"/\w*$", "", directive_path[0])) def _remove_directives(self, vh_path, directives): for directive in directives: while len(self.parser.find_dir(directive, None, vh_path, False)) > 0: directive_path = self.parser.find_dir(directive, None, vh_path, False) self.aug.remove(re.sub(r"/\w*$", "", directive_path[0])) def _add_dummy_ssl_directives(self, vh_path): self.parser.add_dir(vh_path, "SSLCertificateFile", "insert_cert_file_path") self.parser.add_dir(vh_path, "SSLCertificateKeyFile", "insert_key_file_path") # Only include the TLS configuration if not already included existing_inc = self.parser.find_dir("Include", self.mod_ssl_conf, vh_path) if not existing_inc: self.parser.add_dir(vh_path, "Include", self.mod_ssl_conf) def _add_servername_alias(self, target_name, vhost): vh_path = vhost.path sname, saliases = self._get_vhost_names(vh_path) if target_name == sname or target_name in saliases: return if self._has_matching_wildcard(vh_path, target_name): return if not self.parser.find_dir("ServerName", None, start=vh_path, exclude=False): self.parser.add_dir(vh_path, "ServerName", target_name) else: self.parser.add_dir(vh_path, "ServerAlias", target_name) self._add_servernames(vhost) def _has_matching_wildcard(self, vh_path, target_name): matches = self.parser.find_dir( "ServerAlias", start=vh_path, exclude=False) aliases = (self.aug.get(match) for match in matches) return self.domain_in_names(aliases, target_name) def _add_name_vhost_if_necessary(self, vhost): need_to_save = False # See if the exact address appears in any other vhost # Remember 1.1.1.1:* == 1.1.1.1 -> hence any() for addr in vhost.addrs: # In Apache 2.2, when a NameVirtualHost directive is not # set, "*" and "_default_" will conflict when sharing a port addrs = set((addr,)) if addr.get_addr() in ("*", "_default_"): addrs.update(obj.Addr((a, addr.get_port(),)) for a in ("*", "_default_")) for test_vh in self.vhosts: if (vhost.filep != test_vh.filep and any(test_addr in addrs for test_addr in test_vh.addrs) and not self.is_name_vhost(addr)): self.add_name_vhost(addr) logger.info("Enabling NameVirtualHosts on %s", addr) need_to_save = True break if need_to_save: self.save() def find_vhost_by_id(self, id_str): for vh in self.vhosts: if self._find_vhost_id(vh) == id_str: return vh msg = "No VirtualHost with ID {} was found.".format(id_str) logger.warning(msg) raise errors.PluginError(msg) def _find_vhost_id(self, vhost): # Strip the {} off from the format string search_comment = constants.MANAGED_COMMENT_ID.format("") id_comment = self.parser.find_comments(search_comment, vhost.path) if id_comment: # Use the first value, multiple ones shouldn't exist comment = self.parser.get_arg(id_comment[0]) return comment.split(" ")[-1] return None def add_vhost_id(self, vhost): vh_id = self._find_vhost_id(vhost) if vh_id: return vh_id id_string = apache_util.unique_id() comment = constants.MANAGED_COMMENT_ID.format(id_string) self.parser.add_comment(vhost.path, comment) return id_string def _escape(self, fp): fp = fp.replace(",", "\\,") fp = fp.replace("[", "\\[") fp = fp.replace("]", "\\]") fp = fp.replace("|", "\\|") fp = fp.replace("=", "\\=") fp = fp.replace("(", "\$") fp = fp.replace(")", "\$") fp = fp.replace("!", "\\!") return fp ###################################################################### # Enhancements ###################################################################### def supported_enhancements(self): # pylint: disable=no-self-use return ["redirect", "ensure-http-header", "staple-ocsp"] def enhance(self, domain, enhancement, options=None): try: func = self._enhance_func[enhancement] except KeyError: raise errors.PluginError( "Unsupported enhancement: {0}".format(enhancement)) matched_vhosts = self.choose_vhosts(domain, create_if_no_ssl=False) # We should be handling only SSL vhosts for enhancements vhosts = [vhost for vhost in matched_vhosts if vhost.ssl] if not vhosts: msg_tmpl = ("Certbot was not able to find SSL VirtualHost for a " "domain {0} for enabling enhancement \"{1}\". The requested " "enhancement was not configured.") msg_enhancement = enhancement if options: msg_enhancement += ": " + options msg = msg_tmpl.format(domain, msg_enhancement) logger.warning(msg) raise errors.PluginError(msg) try: for vhost in vhosts: func(vhost, options) except errors.PluginError: logger.warning("Failed %s for %s", enhancement, domain) raise def _autohsts_increase(self, vhost, id_str, nextstep): nextstep_value = constants.AUTOHSTS_STEPS[nextstep] self._autohsts_write(vhost, nextstep_value) self._autohsts[id_str] = {"laststep": nextstep, "timestamp": time.time()} def _autohsts_write(self, vhost, nextstep_value): hsts_dirpath = None header_path = self.parser.find_dir("Header", None, vhost.path) if header_path: pat = '(?:[ "]|^)(strict-transport-security)(?:[ "]|$)' for match in header_path: if re.search(pat, self.aug.get(match).lower()): hsts_dirpath = match if not hsts_dirpath: err_msg = ("Certbot was unable to find the existing HSTS header " "from the VirtualHost at path {0}.").format(vhost.filep) raise errors.PluginError(err_msg) # Prepare the HSTS header value hsts_maxage = "\"max-age={0}\"".format(nextstep_value) # Update the header # Our match statement was for string strict-transport-security, but # we need to update the value instead. The next index is for the value hsts_dirpath = hsts_dirpath.replace("arg[3]", "arg[4]") self.aug.set(hsts_dirpath, hsts_maxage) note_msg = ("Increasing HSTS max-age value to {0} for VirtualHost " "in {1}\n".format(nextstep_value, vhost.filep)) logger.debug(note_msg) self.save_notes += note_msg self.save(note_msg) def _autohsts_fetch_state(self): try: self._autohsts = self.storage.fetch("autohsts") except KeyError: self._autohsts = dict() def _autohsts_save_state(self): self.storage.put("autohsts", self._autohsts) self.storage.save() def _autohsts_vhost_in_lineage(self, vhost, lineage): return bool( self.parser.find_dir("SSLCertificateKeyFile", lineage.key_path, vhost.path)) def _enable_ocsp_stapling(self, ssl_vhost, unused_options): min_apache_ver = (2, 3, 3) if self.get_version() < min_apache_ver: raise errors.PluginError( "Unable to set OCSP directives.\n" "Apache version is below 2.3.3.") if "socache_shmcb_module" not in self.parser.modules: self.enable_mod("socache_shmcb") # Check if there's an existing SSLUseStapling directive on. use_stapling_aug_path = self.parser.find_dir("SSLUseStapling", "on", start=ssl_vhost.path) if not use_stapling_aug_path: self.parser.add_dir(ssl_vhost.path, "SSLUseStapling", "on") ssl_vhost_aug_path = self._escape(parser.get_aug_path(ssl_vhost.filep)) # Check if there's an existing SSLStaplingCache directive. stapling_cache_aug_path = self.parser.find_dir('SSLStaplingCache', None, ssl_vhost_aug_path) # We'll simply delete the directive, so that we'll have a # consistent OCSP cache path. if stapling_cache_aug_path: self.aug.remove( re.sub(r"/\w*$", "", stapling_cache_aug_path[0])) self.parser.add_dir_to_ifmodssl(ssl_vhost_aug_path, "SSLStaplingCache", ["shmcb:/var/run/apache2/stapling_cache(128000)"]) msg = "OCSP Stapling was enabled on SSL Vhost: %s.\n"%( ssl_vhost.filep) self.save_notes += msg self.save() logger.info(msg) def _set_http_header(self, ssl_vhost, header_substring): if "headers_module" not in self.parser.modules: self.enable_mod("headers") # Check if selected header is already set self._verify_no_matching_http_header(ssl_vhost, header_substring) # Add directives to server self.parser.add_dir(ssl_vhost.path, "Header", constants.HEADER_ARGS[header_substring]) self.save_notes += ("Adding %s header to ssl vhost in %s\n" % (header_substring, ssl_vhost.filep)) self.save() logger.info("Adding %s header to ssl vhost in %s", header_substring, ssl_vhost.filep) def _verify_no_matching_http_header(self, ssl_vhost, header_substring): header_path = self.parser.find_dir("Header", None, start=ssl_vhost.path) if header_path: # "Existing Header directive for virtualhost" pat = '(?:[ "]|^)(%s)(?:[ "]|$)' % (header_substring.lower()) for match in header_path: if re.search(pat, self.aug.get(match).lower()): raise errors.PluginEnhancementAlreadyPresent( "Existing %s header" % (header_substring)) def _enable_redirect(self, ssl_vhost, unused_options): if "rewrite_module" not in self.parser.modules: self.enable_mod("rewrite") general_vh = self._get_http_vhost(ssl_vhost) if general_vh is None: # Add virtual_server with redirect logger.debug("Did not find http version of ssl virtual host " "attempting to create") redirect_addrs = self._get_proposed_addrs(ssl_vhost) for vhost in self.vhosts: if vhost.enabled and vhost.conflicts(redirect_addrs): raise errors.PluginError( "Unable to find corresponding HTTP vhost; " "Unable to create one as intended addresses conflict; " "Current configuration does not support automated " "redirection") self._create_redirect_vhost(ssl_vhost) else: if general_vh in self._enhanced_vhosts["redirect"]: logger.debug("Already enabled redirect for this vhost") return # Check if Certbot redirection already exists self._verify_no_certbot_redirect(general_vh) # Note: if code flow gets here it means we didn't find the exact # certbot RewriteRule config for redirection. Finding # another RewriteRule is likely to be fine in most or all cases, # but redirect loops are possible in very obscure cases; see #1620 # for reasoning. if self._is_rewrite_exists(general_vh): logger.warning("Added an HTTP->HTTPS rewrite in addition to " "other RewriteRules; you may wish to check for " "overall consistency.") # Add directives to server # Note: These are not immediately searchable in sites-enabled # even with save() and load() if not self._is_rewrite_engine_on(general_vh): self.parser.add_dir(general_vh.path, "RewriteEngine", "on") names = ssl_vhost.get_names() for idx, name in enumerate(names): args = ["%{SERVER_NAME}", "={0}".format(name), "[OR]"] if idx == len(names) - 1: args.pop() self.parser.add_dir(general_vh.path, "RewriteCond", args) self._set_https_redirection_rewrite_rule(general_vh) self.save_notes += ("Redirecting host in %s to ssl vhost in %s\n" % (general_vh.filep, ssl_vhost.filep)) self.save() self._enhanced_vhosts["redirect"].add(general_vh) logger.info("Redirecting vhost in %s to ssl vhost in %s", general_vh.filep, ssl_vhost.filep) def _set_https_redirection_rewrite_rule(self, vhost): if self.get_version() >= (2, 3, 9): self.parser.add_dir(vhost.path, "RewriteRule", constants.REWRITE_HTTPS_ARGS_WITH_END) else: self.parser.add_dir(vhost.path, "RewriteRule", constants.REWRITE_HTTPS_ARGS) def _verify_no_certbot_redirect(self, vhost): rewrite_path = self.parser.find_dir( "RewriteRule", None, start=vhost.path) # There can be other RewriteRule directive lines in vhost config. # rewrite_args_dict keys are directive ids and the corresponding value # for each is a list of arguments to that directive. rewrite_args_dict = defaultdict(list) # type: DefaultDict[str, List[str]] pat = r'(.*directive\[\d+\]).*' for match in rewrite_path: m = re.match(pat, match) if m: dir_path = m.group(1) rewrite_args_dict[dir_path].append(match) if rewrite_args_dict: redirect_args = [constants.REWRITE_HTTPS_ARGS, constants.REWRITE_HTTPS_ARGS_WITH_END] for dir_path, args_paths in rewrite_args_dict.items(): arg_vals = [self.aug.get(x) for x in args_paths] # Search for past redirection rule, delete it, set the new one if arg_vals in constants.OLD_REWRITE_HTTPS_ARGS: self.aug.remove(dir_path) self._set_https_redirection_rewrite_rule(vhost) self.save() raise errors.PluginEnhancementAlreadyPresent( "Certbot has already enabled redirection") if arg_vals in redirect_args: raise errors.PluginEnhancementAlreadyPresent( "Certbot has already enabled redirection") def _is_rewrite_exists(self, vhost): rewrite_path = self.parser.find_dir( "RewriteRule", None, start=vhost.path) return bool(rewrite_path) def _is_rewrite_engine_on(self, vhost): rewrite_engine_path_list = self.parser.find_dir("RewriteEngine", "on", start=vhost.path) if rewrite_engine_path_list: for re_path in rewrite_engine_path_list: # A RewriteEngine directive may also be included in per # directory .htaccess files. We only care about the VirtualHost. if 'virtualhost' in re_path.lower(): return self.parser.get_arg(re_path) return False def _create_redirect_vhost(self, ssl_vhost): text = self._get_redirect_config_str(ssl_vhost) redirect_filepath = self._write_out_redirect(ssl_vhost, text) self.aug.load() # Make a new vhost data structure and add it to the lists new_vhost = self._create_vhost(parser.get_aug_path(self._escape(redirect_filepath))) self.vhosts.append(new_vhost) self._enhanced_vhosts["redirect"].add(new_vhost) # Finally create documentation for the change self.save_notes += ("Created a port 80 vhost, %s, for redirection to " "ssl vhost %s\n" % (new_vhost.filep, ssl_vhost.filep)) def _get_redirect_config_str(self, ssl_vhost): # get servernames and serveraliases serveralias = "" servername = "" if ssl_vhost.name is not None: servername = "ServerName " + ssl_vhost.name if ssl_vhost.aliases: serveralias = "ServerAlias " + " ".join(ssl_vhost.aliases) rewrite_rule_args = [] # type: List[str] if self.get_version() >= (2, 3, 9): rewrite_rule_args = constants.REWRITE_HTTPS_ARGS_WITH_END else: rewrite_rule_args = constants.REWRITE_HTTPS_ARGS return ("<VirtualHost %s>\n" "%s \n" "%s \n" "ServerSignature Off\n" "\n" "RewriteEngine On\n" "RewriteRule %s\n" "\n" "ErrorLog %s/redirect.error.log\n" "LogLevel warn\n" "</VirtualHost>\n" % (" ".join(str(addr) for addr in self._get_proposed_addrs(ssl_vhost)), servername, serveralias, " ".join(rewrite_rule_args), self.option("logs_root"))) def _write_out_redirect(self, ssl_vhost, text): # This is the default name redirect_filename = "le-redirect.conf" # See if a more appropriate name can be applied if ssl_vhost.name is not None: # make sure servername doesn't exceed filename length restriction if len(ssl_vhost.name) < (255 - (len(redirect_filename) + 1)): redirect_filename = "le-redirect-%s.conf" % ssl_vhost.name redirect_filepath = os.path.join(self.option("vhost_root"), redirect_filename) # Register the new file that will be created # Note: always register the creation before writing to ensure file will # be removed in case of unexpected program exit self.reverter.register_file_creation(False, redirect_filepath) # Write out file with open(redirect_filepath, "w") as redirect_file: redirect_file.write(text) # Add new include to configuration if it doesn't exist yet if not self.parser.parsed_in_current(redirect_filepath): self.parser.parse_file(redirect_filepath) logger.info("Created redirect file: %s", redirect_filename) return redirect_filepath def _get_http_vhost(self, ssl_vhost): # First candidate vhosts filter if ssl_vhost.ancestor: return ssl_vhost.ancestor candidate_http_vhs = [ vhost for vhost in self.vhosts if not vhost.ssl ] # Second filter - check addresses for http_vh in candidate_http_vhs: if http_vh.same_server(ssl_vhost): return http_vh # Third filter - if none with same names, return generic for http_vh in candidate_http_vhs: if http_vh.same_server(ssl_vhost, generic=True): return http_vh return None def _get_proposed_addrs(self, vhost, port="80"): redirects = set() for addr in vhost.addrs: redirects.add(addr.get_addr_obj(port)) return redirects def enable_site(self, vhost): if vhost.enabled: return if not self.parser.parsed_in_original(vhost.filep): # Add direct include to root conf logger.info("Enabling site %s by adding Include to root configuration", vhost.filep) self.save_notes += "Enabled site %s\n" % vhost.filep self.parser.add_include(self.parser.loc["default"], vhost.filep) vhost.enabled = True return def enable_mod(self, mod_name, temp=False): # pylint: disable=unused-argument mod_message = ("Apache needs to have module \"{0}\" active for the " + "requested installation options. Unfortunately Certbot is unable " + "to install or enable it for you. Please install the module, and " + "run Certbot again.") raise errors.MisconfigurationError(mod_message.format(mod_name)) def restart(self): self.config_test() self._reload() def _reload(self): error = "" try: util.run_script(self.option("restart_cmd")) except errors.SubprocessError as err: logger.info("Unable to restart apache using %s", self.option("restart_cmd")) alt_restart = self.option("restart_cmd_alt") if alt_restart: logger.debug("Trying alternative restart command: %s", alt_restart) # There is an alternative restart command available # This usually is "restart" verb while original is "graceful" try: util.run_script(self.option( "restart_cmd_alt")) return except errors.SubprocessError as secerr: error = str(secerr) else: error = str(err) raise errors.MisconfigurationError(error) def config_test(self): # pylint: disable=no-self-use try: util.run_script(self.option("conftest_cmd")) except errors.SubprocessError as err: raise errors.MisconfigurationError(str(err)) def get_version(self): try: stdout, _ = util.run_script(self.option("version_cmd")) except errors.SubprocessError: raise errors.PluginError( "Unable to run %s -v" % self.option("version_cmd")) regex = re.compile(r"Apache/([0-9\.]*)", re.IGNORECASE) matches = regex.findall(stdout) if len(matches) != 1: raise errors.PluginError("Unable to find Apache version") return tuple([int(i) for i in matches[0].split(".")]) def more_info(self): return ( "Configures Apache to authenticate and install HTTPS.{0}" "Server root: {root}{0}" "Version: {version}".format( os.linesep, root=self.parser.loc["root"], version=".".join(str(i) for i in self.version)) ) ########################################################################### # Challenges Section ########################################################################### def get_chall_pref(self, unused_domain): # pylint: disable=no-self-use return [challenges.HTTP01, challenges.TLSSNI01] def perform(self, achalls): self._chall_out.update(achalls) responses = [None] * len(achalls) http_doer = http_01.ApacheHttp01(self) sni_doer = tls_sni_01.ApacheTlsSni01(self) for i, achall in enumerate(achalls): # Currently also have chall_doer hold associated index of the # challenge. This helps to put all of the responses back together # when they are all complete. if isinstance(achall.chall, challenges.HTTP01): http_doer.add_chall(achall, i) else: # tls-sni-01 sni_doer.add_chall(achall, i) http_response = http_doer.perform() sni_response = sni_doer.perform() if http_response or sni_response: # Must reload in order to activate the challenges. # Handled here because we may be able to load up other challenge # types self.restart() # TODO: Remove this dirty hack. We need to determine a reliable way # of identifying when the new configuration is being used. time.sleep(3) self._update_responses(responses, http_response, http_doer) self._update_responses(responses, sni_response, sni_doer) return responses def _update_responses(self, responses, chall_response, chall_doer): # Go through all of the challenges and assign them to the proper # place in the responses return value. All responses must be in the # same order as the original challenges. for i, resp in enumerate(chall_response): responses[chall_doer.indices[i]] = resp def cleanup(self, achalls): self._chall_out.difference_update(achalls) # If all of the challenges have been finished, clean up everything if not self._chall_out: self.revert_challenge_config() self.restart() self.parser.reset_modules() def install_ssl_options_conf(self, options_ssl, options_ssl_digest): # XXX if we ever try to enforce a local privilege boundary (eg, running # certbot for unprivileged users via setuid), this function will need # to be modified. return common.install_version_controlled_file(options_ssl, options_ssl_digest, self.option("MOD_SSL_CONF_SRC"), constants.ALL_SSL_OPTIONS_HASHES) def enable_autohsts(self, _unused_lineage, domains): self._autohsts_fetch_state() _enhanced_vhosts = [] for d in domains: matched_vhosts = self.choose_vhosts(d, create_if_no_ssl=False) # We should be handling only SSL vhosts for AutoHSTS vhosts = [vhost for vhost in matched_vhosts if vhost.ssl] if not vhosts: msg_tmpl = ("Certbot was not able to find SSL VirtualHost for a " "domain {0} for enabling AutoHSTS enhancement.") msg = msg_tmpl.format(d) logger.warning(msg) raise errors.PluginError(msg) for vh in vhosts: try: self._enable_autohsts_domain(vh) _enhanced_vhosts.append(vh) except errors.PluginEnhancementAlreadyPresent: if vh in _enhanced_vhosts: continue msg = ("VirtualHost for domain {0} in file {1} has a " + "String-Transport-Security header present, exiting.") raise errors.PluginEnhancementAlreadyPresent( msg.format(d, vh.filep)) if _enhanced_vhosts: note_msg = "Enabling AutoHSTS" self.save(note_msg) logger.info(note_msg) self.restart() # Save the current state to pluginstorage self._autohsts_save_state() def _enable_autohsts_domain(self, ssl_vhost): # This raises the exception self._verify_no_matching_http_header(ssl_vhost, "Strict-Transport-Security") if "headers_module" not in self.parser.modules: self.enable_mod("headers") # Prepare the HSTS header value hsts_header = constants.HEADER_ARGS["Strict-Transport-Security"][:-1] initial_maxage = constants.AUTOHSTS_STEPS[0] hsts_header.append("\"max-age={0}\"".format(initial_maxage)) # Add ID to the VirtualHost for mapping back to it later uniq_id = self.add_vhost_id(ssl_vhost) self.save_notes += "Adding unique ID {0} to VirtualHost in {1}\n".format( uniq_id, ssl_vhost.filep) # Add the actual HSTS header self.parser.add_dir(ssl_vhost.path, "Header", hsts_header) note_msg = ("Adding gradually increasing HSTS header with initial value " "of {0} to VirtualHost in {1}\n".format( initial_maxage, ssl_vhost.filep)) self.save_notes += note_msg # Save the current state to pluginstorage self._autohsts[uniq_id] = {"laststep": 0, "timestamp": time.time()} def update_autohsts(self, _unused_domain): self._autohsts_fetch_state() if not self._autohsts: # No AutoHSTS enabled for any domain return curtime = time.time() save_and_restart = False for id_str, config in list(self._autohsts.items()): if config["timestamp"] + constants.AUTOHSTS_FREQ > curtime: # Skip if last increase was < AUTOHSTS_FREQ ago continue nextstep = config["laststep"] + 1 if nextstep < len(constants.AUTOHSTS_STEPS): # If installer hasn't been prepared yet, do it now if not self._prepared: self.prepare() # Have not reached the max value yet try: vhost = self.find_vhost_by_id(id_str) except errors.PluginError: msg = ("Could not find VirtualHost with ID {0}, disabling " "AutoHSTS for this VirtualHost").format(id_str) logger.warning(msg) # Remove the orphaned AutoHSTS entry from pluginstorage self._autohsts.pop(id_str) continue self._autohsts_increase(vhost, id_str, nextstep) msg = ("Increasing HSTS max-age value for VirtualHost with id " "{0}").format(id_str) self.save_notes += msg save_and_restart = True if save_and_restart: self.save("Increased HSTS max-age values") self.restart() self._autohsts_save_state() def deploy_autohsts(self, lineage): self._autohsts_fetch_state() if not self._autohsts: # No autohsts enabled for any vhost return vhosts = [] affected_ids = [] # Copy, as we are removing from the dict inside the loop for id_str, config in list(self._autohsts.items()): if config["laststep"]+1 >= len(constants.AUTOHSTS_STEPS): # max value reached, try to make permanent try: vhost = self.find_vhost_by_id(id_str) except errors.PluginError: msg = ("VirtualHost with id {} was not found, unable to " "make HSTS max-age permanent.").format(id_str) logger.warning(msg) self._autohsts.pop(id_str) continue if self._autohsts_vhost_in_lineage(vhost, lineage): vhosts.append(vhost) affected_ids.append(id_str) save_and_restart = False for vhost in vhosts: self._autohsts_write(vhost, constants.AUTOHSTS_PERMANENT) msg = ("Strict-Transport-Security max-age value for " "VirtualHost in {0} was made permanent.").format(vhost.filep) logger.debug(msg) self.save_notes += msg+"\n" save_and_restart = True if save_and_restart: self.save("Made HSTS max-age permanent") self.restart() for id_str in affected_ids: self._autohsts.pop(id_str) # Update AutoHSTS storage (We potentially removed vhosts from managed) self._autohsts_save_state() AutoHSTSEnhancement.register(ApacheConfigurator) # pylint: disable=no-member

true

f7f5013a62598bd972ecd4613d1f94601890043d

4,189

py

Python

froide/foirequest/feeds.py

manonthemat/froide

698c49935eaf2e922f3c9f6a46af0fd545ccbbbb

[ "MIT" ]

null

froide/foirequest/feeds.py

manonthemat/froide

698c49935eaf2e922f3c9f6a46af0fd545ccbbbb

[ "MIT" ]

null

froide/foirequest/feeds.py

manonthemat/froide

698c49935eaf2e922f3c9f6a46af0fd545ccbbbb

[ "MIT" ]

null

import re from django.conf import settings from django.contrib.syndication.views import Feed from django.utils.feedgenerator import Atom1Feed from django.utils.translation import ugettext_lazy as _ from django.urls import reverse from django.shortcuts import get_object_or_404 from .models import FoiRequest from .filters import FOIREQUEST_FILTER_DICT CONTROLCHARS_RE = re.compile(r'[\x00-\x08\x0B-\x0C\x0E-\x1F]') def clean(val): return CONTROLCHARS_RE.sub('', val) class LatestFoiRequestsFeed(Feed): url_name = 'foirequest-list_feed' def __init__(self, items, data, make_url): self.items = items self.data = data self.make_url = make_url super(LatestFoiRequestsFeed, self).__init__() def get_filter_string(self): by = [] if self.data.get('q'): by.append(_('search for "%s"' % self.data['q'])) if self.data.get('category'): by.append(_('by category %(category)s') % {'category': self.data['category'].name}) if self.data.get('status'): by.append(_('by status %(status)s') % { 'status': FOIREQUEST_FILTER_DICT[self.data['status']][1] }) if self.data.get('tag'): by.append(_('by tag %(tag)s') % {'tag': self.data['tag'].name}) if self.data.get('jurisdiction'): by.append(_('for %(juris)s') % {'juris': self.data['jurisdiction'].name}) if self.data.get('publicbody'): by.append(_('to %(publicbody)s') % {'publicbody': self.data['publicbody'].name}) return ' '.join(str(x) for x in by) def title(self, obj): by = self.get_filter_string() if by: return clean(_("Freedom of Information Requests %(by)s on %(sitename)s") % { "sitename": settings.SITE_NAME, 'by': by }) return clean(_("Freedom of Information Requests on %(sitename)s") % { "sitename": settings.SITE_NAME }) def description(self, obj): by = self.get_filter_string() if by: return clean(_("This feed contains the Freedom of Information requests %(by)s" " that have been made through %(sitename)s.") % { "sitename": settings.SITE_NAME, 'by': by }) return clean(_("This feed contains the latest Freedom of Information requests" " that have been made through %(sitename)s.") % { "sitename": settings.SITE_NAME }) def link(self): return self.make_url(self.url_name) def items(self): return self.items.order_by("-first_message")[:15] def item_title(self, item): if item.public_body: pb_name = item.public_body.name else: pb_name = _("Not yet known") return clean(_("'%(title)s' to %(publicbody)s") % { "title": item.title, "publicbody": pb_name }) def item_description(self, item): return clean(item.description) def item_pubdate(self, item): return item.first_message class LatestFoiRequestsFeedAtom(LatestFoiRequestsFeed): feed_type = Atom1Feed subtitle = LatestFoiRequestsFeed.description url_name = 'foirequest-list_feed_atom' class FoiRequestFeed(Feed): def get_object(self, request, slug): return get_object_or_404(FoiRequest, slug=slug, public=True) def title(self, obj): return clean(obj.title) def link(self, obj): return reverse('foirequest-feed', kwargs={"slug": obj.slug}) def description(self, obj): return clean(obj.description) def items(self, obj): return obj.foievent_set.order_by("-timestamp")[:15] def item_title(self, item): return clean(item.as_text()) def item_description(self, item): return clean(item.as_text()) def item_pubdate(self, item): return item.timestamp class FoiRequestFeedAtom(FoiRequestFeed): feed_type = Atom1Feed subtitle = FoiRequestFeed.description def link(self, obj): return reverse('foirequest-feed_atom', kwargs={"slug": obj.slug})

31.734848

95

0.612557

import re from django.conf import settings from django.contrib.syndication.views import Feed from django.utils.feedgenerator import Atom1Feed from django.utils.translation import ugettext_lazy as _ from django.urls import reverse from django.shortcuts import get_object_or_404 from .models import FoiRequest from .filters import FOIREQUEST_FILTER_DICT CONTROLCHARS_RE = re.compile(r'[\x00-\x08\x0B-\x0C\x0E-\x1F]') def clean(val): return CONTROLCHARS_RE.sub('', val) class LatestFoiRequestsFeed(Feed): url_name = 'foirequest-list_feed' def __init__(self, items, data, make_url): self.items = items self.data = data self.make_url = make_url super(LatestFoiRequestsFeed, self).__init__() def get_filter_string(self): by = [] if self.data.get('q'): by.append(_('search for "%s"' % self.data['q'])) if self.data.get('category'): by.append(_('by category %(category)s') % {'category': self.data['category'].name}) if self.data.get('status'): by.append(_('by status %(status)s') % { 'status': FOIREQUEST_FILTER_DICT[self.data['status']][1] }) if self.data.get('tag'): by.append(_('by tag %(tag)s') % {'tag': self.data['tag'].name}) if self.data.get('jurisdiction'): by.append(_('for %(juris)s') % {'juris': self.data['jurisdiction'].name}) if self.data.get('publicbody'): by.append(_('to %(publicbody)s') % {'publicbody': self.data['publicbody'].name}) return ' '.join(str(x) for x in by) def title(self, obj): by = self.get_filter_string() if by: return clean(_("Freedom of Information Requests %(by)s on %(sitename)s") % { "sitename": settings.SITE_NAME, 'by': by }) return clean(_("Freedom of Information Requests on %(sitename)s") % { "sitename": settings.SITE_NAME }) def description(self, obj): by = self.get_filter_string() if by: return clean(_("This feed contains the Freedom of Information requests %(by)s" " that have been made through %(sitename)s.") % { "sitename": settings.SITE_NAME, 'by': by }) return clean(_("This feed contains the latest Freedom of Information requests" " that have been made through %(sitename)s.") % { "sitename": settings.SITE_NAME }) def link(self): return self.make_url(self.url_name) def items(self): return self.items.order_by("-first_message")[:15] def item_title(self, item): if item.public_body: pb_name = item.public_body.name else: pb_name = _("Not yet known") return clean(_("'%(title)s' to %(publicbody)s") % { "title": item.title, "publicbody": pb_name }) def item_description(self, item): return clean(item.description) def item_pubdate(self, item): return item.first_message class LatestFoiRequestsFeedAtom(LatestFoiRequestsFeed): feed_type = Atom1Feed subtitle = LatestFoiRequestsFeed.description url_name = 'foirequest-list_feed_atom' class FoiRequestFeed(Feed): def get_object(self, request, slug): return get_object_or_404(FoiRequest, slug=slug, public=True) def title(self, obj): return clean(obj.title) def link(self, obj): return reverse('foirequest-feed', kwargs={"slug": obj.slug}) def description(self, obj): return clean(obj.description) def items(self, obj): return obj.foievent_set.order_by("-timestamp")[:15] def item_title(self, item): return clean(item.as_text()) def item_description(self, item): return clean(item.as_text()) def item_pubdate(self, item): return item.timestamp class FoiRequestFeedAtom(FoiRequestFeed): feed_type = Atom1Feed subtitle = FoiRequestFeed.description def link(self, obj): return reverse('foirequest-feed_atom', kwargs={"slug": obj.slug})

true

f7f501490070161e55fc15693ac4df39a7f15947

2,029

py

Python

asphalt/feedreader/stores/mongodb.py

asphalt-framework/asphalt-feedreader

096df835408ecfcfde593950c9c80d130f62cc5e

[ "Apache-2.0" ]

1

2017-10-30T04:28:53.000Z

asphalt/feedreader/stores/mongodb.py

asphalt-framework/asphalt-feedreader

096df835408ecfcfde593950c9c80d130f62cc5e

[ "Apache-2.0" ]

null

asphalt/feedreader/stores/mongodb.py

asphalt-framework/asphalt-feedreader

096df835408ecfcfde593950c9c80d130f62cc5e

[ "Apache-2.0" ]

null

from typing import Union from asphalt.core import Context from asphalt.serialization.api import Serializer from asphalt.serialization.serializers.json import JSONSerializer from motor.motor_asyncio import AsyncIOMotorClient from typeguard import check_argument_types from asphalt.feedreader.api import FeedStateStore class MongoDBStore(FeedStateStore): """ Stores feed states in a MongoDB database. :param client: a Redis client :param serializer: a serializer or the resource name of one (creates a new JSONSerializer if none is specified) :param db: database to store the states in :param collection: name of the collection in the database """ def __init__(self, client: Union[str, AsyncIOMotorClient] = 'default', serializer: Union[str, Serializer] = None, db: str = 'asphalt', collection: str = 'feed_states'): assert check_argument_types() self.client = client self.serializer = serializer or JSONSerializer() self.db = db self.collection_name = collection self.collection = None async def start(self, ctx: Context): if isinstance(self.serializer, str): self.serializer = await ctx.request_resource(Serializer, self.serializer) if isinstance(self.client, str): self.client = await ctx.request_resource(AsyncIOMotorClient, self.client) self.collection = self.client[self.db][self.collection_name] await self.collection.create_index('feed_id') async def store_state(self, feed_id: str, state) -> None: serialized = self.serializer.serialize(state) document = dict(feed_id=feed_id, state=serialized) await self.collection.find_one_and_replace({'feed_id': feed_id}, document, upsert=True) async def load_state(self, feed_id: str): document = await self.collection.find_one({'feed_id': feed_id}, {'state': True}) return self.serializer.deserialize(document['state']) if document else None

40.58

96

0.706259

from typing import Union from asphalt.core import Context from asphalt.serialization.api import Serializer from asphalt.serialization.serializers.json import JSONSerializer from motor.motor_asyncio import AsyncIOMotorClient from typeguard import check_argument_types from asphalt.feedreader.api import FeedStateStore class MongoDBStore(FeedStateStore): def __init__(self, client: Union[str, AsyncIOMotorClient] = 'default', serializer: Union[str, Serializer] = None, db: str = 'asphalt', collection: str = 'feed_states'): assert check_argument_types() self.client = client self.serializer = serializer or JSONSerializer() self.db = db self.collection_name = collection self.collection = None async def start(self, ctx: Context): if isinstance(self.serializer, str): self.serializer = await ctx.request_resource(Serializer, self.serializer) if isinstance(self.client, str): self.client = await ctx.request_resource(AsyncIOMotorClient, self.client) self.collection = self.client[self.db][self.collection_name] await self.collection.create_index('feed_id') async def store_state(self, feed_id: str, state) -> None: serialized = self.serializer.serialize(state) document = dict(feed_id=feed_id, state=serialized) await self.collection.find_one_and_replace({'feed_id': feed_id}, document, upsert=True) async def load_state(self, feed_id: str): document = await self.collection.find_one({'feed_id': feed_id}, {'state': True}) return self.serializer.deserialize(document['state']) if document else None

true

f7f5024b34218ceb04d13bb351f6d2d302069bce

5,178

py

Python

tensorflow/contrib/timeseries/python/timeseries/state_space_models/test_utils.py

PaulWang1905/tensorflow

ebf12d22b4801fb8dab5034cc94562bf7cc33fa0

[ "Apache-2.0" ]

848

2019-12-03T00:16:17.000Z

2022-03-31T22:53:17.000Z

tensorflow/contrib/timeseries/python/timeseries/state_space_models/test_utils.py

PaulWang1905/tensorflow

ebf12d22b4801fb8dab5034cc94562bf7cc33fa0

[ "Apache-2.0" ]

656

2019-12-03T00:48:46.000Z

2022-03-31T18:41:54.000Z

tensorflow/contrib/timeseries/python/timeseries/state_space_models/test_utils.py

PaulWang1905/tensorflow

ebf12d22b4801fb8dab5034cc94562bf7cc33fa0

[ "Apache-2.0" ]

506

2019-12-03T00:46:26.000Z

2022-03-30T10:34:56.000Z

# Copyright 2017 The TensorFlow Authors. 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 required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== """Utilities for testing state space models.""" from __future__ import absolute_import from __future__ import division from __future__ import print_function import numpy from tensorflow.contrib.timeseries.python.timeseries import math_utils from tensorflow.python.framework import dtypes from tensorflow.python.framework import ops from tensorflow.python.framework import tensor_shape from tensorflow.python.ops import array_ops from tensorflow.python.ops import linalg_ops from tensorflow.python.ops import math_ops from tensorflow.python.ops import random_ops def transition_power_test_template(test_case, model, num_steps): """Tests the transition_to_powers function of a state space model.""" transition_matrix = ops.convert_to_tensor( model.get_state_transition(), dtype=model.dtype) step_number = array_ops.placeholder(shape=[], dtype=dtypes.int64) state_dimension = tensor_shape.dimension_value(transition_matrix.shape[0]) previous_matrix = array_ops.placeholder( shape=[state_dimension, state_dimension], dtype=transition_matrix.dtype) true_single_step_update = math_ops.matmul(previous_matrix, transition_matrix) model_output_tensor = model.transition_to_powers(powers=array_ops.stack( [step_number, step_number])) with test_case.test_session(): starting_matrix = linalg_ops.eye( state_dimension, batch_shape=array_ops.shape(num_steps)).eval() evaled_current_matrix = starting_matrix for iteration_number in range(num_steps): model_output = model_output_tensor.eval( feed_dict={step_number: iteration_number}) test_case.assertAllClose( evaled_current_matrix, model_output[0], rtol=1e-8 if evaled_current_matrix.dtype == numpy.float64 else 1e-4) evaled_current_matrix = true_single_step_update.eval( feed_dict={previous_matrix: evaled_current_matrix}) def noise_accumulator_test_template(test_case, model, num_steps): """Tests `model`'s transition_power_noise_accumulator.""" transition_matrix = ops.convert_to_tensor( model.get_state_transition(), dtype=model.dtype) noise_transform = ops.convert_to_tensor( model.get_noise_transform(), dtype=model.dtype) state_dimension = tensor_shape.dimension_value(transition_matrix.shape[0]) state_noise_dimension = tensor_shape.dimension_value(noise_transform.shape[1]) gen_noise_addition = math_utils.sign_magnitude_positive_definite( raw=random_ops.random_normal( shape=[state_noise_dimension, state_noise_dimension], dtype=model.dtype)) gen_starting_noise = math_utils.sign_magnitude_positive_definite( random_ops.random_normal( shape=[state_dimension, state_dimension], dtype=model.dtype)) starting_noise = array_ops.placeholder( shape=[state_dimension, state_dimension], dtype=model.dtype) step_number = array_ops.placeholder(shape=[], dtype=dtypes.int64) starting_transitioned = math_ops.matmul( math_ops.matmul(transition_matrix, starting_noise), transition_matrix, adjoint_b=True) with test_case.test_session(): evaled_starting_noise = gen_starting_noise.eval() current_starting_noise_transitioned = evaled_starting_noise current_noise = evaled_starting_noise evaled_noise_addition = gen_noise_addition.eval() evaled_noise_addition_transformed = math_ops.matmul( math_ops.matmul(noise_transform, evaled_noise_addition), noise_transform, adjoint_b=True).eval() model.state_transition_noise_covariance = evaled_noise_addition model._window_initializer( # pylint: disable=protected-access times=math_ops.range(num_steps + 1)[..., None], state=(None, None, 0)) model_update = model.transition_power_noise_accumulator( num_steps=step_number) for iteration_number in range(num_steps): model_new_noise = model_update.eval( feed_dict={step_number: iteration_number}) test_case.assertAllClose( current_noise, model_new_noise + current_starting_noise_transitioned, rtol=1e-8 if current_noise.dtype == numpy.float64 else 1e-3) current_starting_noise_transitioned = starting_transitioned.eval( feed_dict={starting_noise: current_starting_noise_transitioned}) current_noise = ( starting_transitioned.eval( feed_dict={starting_noise: current_noise}) + evaled_noise_addition_transformed)

47.072727

80

0.751255

from __future__ import absolute_import from __future__ import division from __future__ import print_function import numpy from tensorflow.contrib.timeseries.python.timeseries import math_utils from tensorflow.python.framework import dtypes from tensorflow.python.framework import ops from tensorflow.python.framework import tensor_shape from tensorflow.python.ops import array_ops from tensorflow.python.ops import linalg_ops from tensorflow.python.ops import math_ops from tensorflow.python.ops import random_ops def transition_power_test_template(test_case, model, num_steps): transition_matrix = ops.convert_to_tensor( model.get_state_transition(), dtype=model.dtype) step_number = array_ops.placeholder(shape=[], dtype=dtypes.int64) state_dimension = tensor_shape.dimension_value(transition_matrix.shape[0]) previous_matrix = array_ops.placeholder( shape=[state_dimension, state_dimension], dtype=transition_matrix.dtype) true_single_step_update = math_ops.matmul(previous_matrix, transition_matrix) model_output_tensor = model.transition_to_powers(powers=array_ops.stack( [step_number, step_number])) with test_case.test_session(): starting_matrix = linalg_ops.eye( state_dimension, batch_shape=array_ops.shape(num_steps)).eval() evaled_current_matrix = starting_matrix for iteration_number in range(num_steps): model_output = model_output_tensor.eval( feed_dict={step_number: iteration_number}) test_case.assertAllClose( evaled_current_matrix, model_output[0], rtol=1e-8 if evaled_current_matrix.dtype == numpy.float64 else 1e-4) evaled_current_matrix = true_single_step_update.eval( feed_dict={previous_matrix: evaled_current_matrix}) def noise_accumulator_test_template(test_case, model, num_steps): transition_matrix = ops.convert_to_tensor( model.get_state_transition(), dtype=model.dtype) noise_transform = ops.convert_to_tensor( model.get_noise_transform(), dtype=model.dtype) state_dimension = tensor_shape.dimension_value(transition_matrix.shape[0]) state_noise_dimension = tensor_shape.dimension_value(noise_transform.shape[1]) gen_noise_addition = math_utils.sign_magnitude_positive_definite( raw=random_ops.random_normal( shape=[state_noise_dimension, state_noise_dimension], dtype=model.dtype)) gen_starting_noise = math_utils.sign_magnitude_positive_definite( random_ops.random_normal( shape=[state_dimension, state_dimension], dtype=model.dtype)) starting_noise = array_ops.placeholder( shape=[state_dimension, state_dimension], dtype=model.dtype) step_number = array_ops.placeholder(shape=[], dtype=dtypes.int64) starting_transitioned = math_ops.matmul( math_ops.matmul(transition_matrix, starting_noise), transition_matrix, adjoint_b=True) with test_case.test_session(): evaled_starting_noise = gen_starting_noise.eval() current_starting_noise_transitioned = evaled_starting_noise current_noise = evaled_starting_noise evaled_noise_addition = gen_noise_addition.eval() evaled_noise_addition_transformed = math_ops.matmul( math_ops.matmul(noise_transform, evaled_noise_addition), noise_transform, adjoint_b=True).eval() model.state_transition_noise_covariance = evaled_noise_addition model._window_initializer( times=math_ops.range(num_steps + 1)[..., None], state=(None, None, 0)) model_update = model.transition_power_noise_accumulator( num_steps=step_number) for iteration_number in range(num_steps): model_new_noise = model_update.eval( feed_dict={step_number: iteration_number}) test_case.assertAllClose( current_noise, model_new_noise + current_starting_noise_transitioned, rtol=1e-8 if current_noise.dtype == numpy.float64 else 1e-3) current_starting_noise_transitioned = starting_transitioned.eval( feed_dict={starting_noise: current_starting_noise_transitioned}) current_noise = ( starting_transitioned.eval( feed_dict={starting_noise: current_noise}) + evaled_noise_addition_transformed)

true

f7f50431c30e501d55825d355936c3e807e15ed3

194

py

Python

bin/bes_vfs.py

reconstruir/bes

82ff54b2dadcaef6849d7de424787f1dedace85c

[ "Apache-2.0" ]

null

bin/bes_vfs.py

reconstruir/bes

82ff54b2dadcaef6849d7de424787f1dedace85c

[ "Apache-2.0" ]

null

bin/bes_vfs.py

reconstruir/bes

82ff54b2dadcaef6849d7de424787f1dedace85c

[ "Apache-2.0" ]

null

#!/usr/bin/env python #-*- coding:utf-8; mode:python; indent-tabs-mode: nil; c-basic-offset: 2; tab-width: 2 -*- from bes.vfs.vfs_cli import vfs_cli if __name__ == '__main__': vfs_cli.run()

24.25

90

0.680412

from bes.vfs.vfs_cli import vfs_cli if __name__ == '__main__': vfs_cli.run()

true

f7f504a93c04702a2fb8beb6835df6288d5581cd

18,983

py

Python

core/curses_interface.py

JackieChiles/Cinch

f8b9e8c073f555ff827fa7887153e82b263a8aab

[ "MIT" ]

null

core/curses_interface.py

JackieChiles/Cinch

f8b9e8c073f555ff827fa7887153e82b263a8aab

[ "MIT" ]

5

2015-01-10T02:18:54.000Z

2015-12-07T02:07:28.000Z

core/curses_interface.py

JackieChiles/Cinch

f8b9e8c073f555ff827fa7887153e82b263a8aab

[ "MIT" ]

null

#!/usr/bin/python2 # coding=UTF-8 """Curses interface for Cinch console.""" # currently being used for debugging. DESC = "Cinch console curses interface class, along with driver for same." import curses import curses.textpad import sys import locale locale.setlocale(locale.LC_ALL,"") import threading from time import sleep from textwrap import TextWrapper from Queue import Queue import re import argparse import logging import logging.config log = logging.getLogger(__name__) LOG_SHORT ={'d':'DEBUG', 'i':'INFO', 'w':'WARNING', 'e':'ERROR', 'c':'CRITICAL'} class CinchScreen(): def __init__(self, main_win, global_log): # Pass logging.getLogger(__name__) to enforce info-level logging. # Also set other loggers to original log level. self.log = global_log self.main_win = main_win self.ym, self.xm = self.getsizes() self.PROMPT = "cinch> " self.textwrapper = TextWrapper(width = self.xm) # used in write() self.cmd = '' # User input command; starts blank. self.queue = Queue() # Where parsed commands go. # These dicts hold the names of valid commands as keys. The values of # _valid_commands are the regexes corresponding to allowable arguments. # The values of _command_usage are the strings to print in response to # invalid input or to a 'help'-class command. They should be accessed # through register_command() and deregister_command(). self._valid_commands = {} self._command_usage = {} self._write_lock = threading.Lock() # Make write() thread-safe. # Define sub-window dimensions here. # First define the functional layout. self.DASHBOARD_HEIGHT = 12 self.COMMAND_HEIGHT = 1 self.TABLE_WIDTH = 26 self.HAND_WIDTH = 6 self.INFO_WIDTH = 30 # Now derive the newwin() calls for each window. # 'h': height; 'w': width; 'y','x': y-x coord of top left corner cml = {'h':self.COMMAND_HEIGHT, 'w':self.xm - len(self.PROMPT), 'y':self.ym - self.DASHBOARD_HEIGHT - self.COMMAND_HEIGHT, 'x':len(self.PROMPT) } cpt = {'h':self.COMMAND_HEIGHT, 'w':len(self.PROMPT) + 1, 'y':cml['y'], 'x':0} tw = {'h':cpt['y'], 'w':self.xm, 'y':0, 'x':0} tbl = {'h':self.DASHBOARD_HEIGHT, 'w':self.TABLE_WIDTH, 'y':self.ym - self.DASHBOARD_HEIGHT, 'x':0} hnd = {'h':self.DASHBOARD_HEIGHT, 'w':self.HAND_WIDTH, 'y':tbl['y'], 'x':self.TABLE_WIDTH} nfo = {'h':self.DASHBOARD_HEIGHT, 'w':self.INFO_WIDTH, 'y':tbl['y'], 'x':self.TABLE_WIDTH + self.HAND_WIDTH} # Set up the windows needed for Cinch. # Command entry: self.cmdline = curses.newwin(cml['h'], cml['w'], cml['y'], cml['x']) self.cmdpad = curses.textpad.Textbox(self.cmdline) self.cmdline.move(0,0) self.cmdline.refresh() # Command prompt display: self.cmdprompt = curses.newwin(cpt['h'], cpt['w'], cpt['y'], cpt['x']) self.cmdprompt.leaveok(False) self.cmdprompt.move(0,0) self.cmdprompt.addstr(self.PROMPT) self.cmdprompt.refresh() # Command output display: self.text_win = curses.newwin(tw['h'], tw['w'], tw['y'], tw['x']) self.text_win.scrollok(True) self.text_win.leaveok(False) # Table display: self.table = curses.newwin(tbl['h'], tbl['w'], tbl['y'], tbl['x']) self.table.leaveok(False) self.table.border() # Draw table graphic: self.table.move(4,9) self.table.addstr("┌──────┐") for x in range(5,8): self.table.move(x,9) self.table.addstr("│ │") self.table.move(8,9) self.table.addstr("└──────┘") # Add constants for writing table data: self.TBL_NAMES = [( 9, 9), (5, 1), (2, 9), (5,17)] self.TBL_NAME_LEN = 8 self.TBL_CARDS = [( 7,12), (6,10), (5,12), (6,14)] self.TBL_BIDS = [(10, 9), (6, 1), (3, 9), (6,17)] self.TBL_DEALER = [( 7,10), (5,10), (5,15), (7,15)] self.table.refresh() # Hand display: self.hand = curses.newwin(hnd['h'], hnd['w'], hnd['y'], hnd['x']) self.hand.leaveok(False) self.hand.border() self.hand.move(1,1) self.hand.addstr("HAND") self.hand.refresh() # Info display: self.LAST_TRICK_DISP = [(3,2), (3,5), (3,8), (3,11)] self.LAST_TAKER_DISP = (2,2) self.LAST_TAKER_LEN = 14 self.TRUMP_DISP = (self.DASHBOARD_HEIGHT - 2, 9) self.US_SCORE_DISP = (3, self.INFO_WIDTH - 5) self.THEM_SCORE_DISP = (6, self.INFO_WIDTH - 5) self.info = curses.newwin(nfo['h'], nfo['w'], nfo['y'], nfo['x']) self.info.leaveok(False) self.info.border() self.info.move(1,2) self.info.addstr('--Last trick--') self.info.move(self.DASHBOARD_HEIGHT - 2, 2) self.info.addstr('Trump:') self.SCORES_TEMPLATE = [' Scores ', ' ┌───┐', ' Us: │ │', ' └───┘', ' ┌───┐', ' Them:│ │', ' └───┘'] for x in range(1,8): self.info.move(x, self.INFO_WIDTH - 12) self.info.addstr(self.SCORES_TEMPLATE[x-1]) self.info.refresh() commandline_listener = threading.Thread(target=self._console_input) commandline_listener.daemon = True commandline_listener.start() def __enter__(self): # Capture stderr. self._old_stderr = sys.stderr sys.stderr = self # Capture tracebacks and display nicely # Capture all loggers. for x in logging.Logger.manager.loggerDict: x_log = logging.getLogger(x) x_log.addHandler(logging.StreamHandler(self)) x_log.setLevel(self.log.level) # INFO level logging used for most command responses; enable them. if (self.log.level > logging.INFO) or (self.log.level == 0): self._old_log_level = self.log.level self.log.setLevel(logging.INFO) return self def __exit__(self, exc_type, exc_value, traceback): # Reset previous logging (undo INFO level set) try: self.log.setLevel(self._old_log_level) except AttributeError: pass # Remove cinchscreen handlers for x in logging.Logger.manager.loggerDict: logging.getLogger(x).handlers = [] # Reset stderr sys.stderr = self._old_stderr log.debug("Logged after executing self.__exit__()") def _console_input(self): # Run in separate input thread. while True: self.cmdline.refresh() self.cmd = self.cmdpad.edit() self._parse_command() self.cmdline.erase() self.cmdline.move(0,0) self.cmdline.refresh() def getsizes(self): # getmaxyx() returns the dimensions, not maxY or maxX. ym, xm = self.main_win.getmaxyx() return ym, xm def _parse_command(self): ''' Called by console_input. Takes input lines from cmdpad, echoes to the screen, parses, and adds well-formed commands to the queue. Rejects bad syntax, but bad input parameters will be checked by the console. ''' # FUTURE: Write parallel method to handle getch() mode. # First, echo the command to the output window. # Later, consider adding an option to set echo to all, # all but chats or none. self.write(self.PROMPT + self.cmd) if self.cmd == '': return cmd_name = self.cmd.split()[0] # Command syntax: "name <args>", where args matches the cmd regex. if cmd_name in self._valid_commands: # Valid command name; check arg syntax cmd_args = self.cmd[len(cmd_name):].strip() # Rem. name & whitespace if self._valid_commands[cmd_name].match(cmd_args): # OK syntax; add to queue self.queue.put({cmd_name:cmd_args}) else: # Syntax not OK; print usage self.write(cmd_name + ": " + self._command_usage[cmd_name] + " (" + cmd_args + " received)") else: # Not a valid command name self.write(cmd_name + ": not a valid command") self.cmd = '' # Unblock the listener. def register_command(self, name, regex=r'^$', usage='usage not supplied'): ''' The main console calls this on init to add recognized commands. name: Name of the command. Does not include any cmdline-specific control characters (such as '/'); this will be CinchScreen's choice. regex: Raw string containing a regex representing valid arg strings. User input will be parsed and rejected if it doesn't match. usage: The console will echo the command name and this string to the screen if invalid input is detected. ''' self._valid_commands[name] = re.compile(regex) self._command_usage[name] = usage def unregister_command(self, name): ''' Remove a command from the list of valid commands. name: name of the command to remove. ''' try: del self._valid_commands[name] del self._command_usage[name] except KeyError: self.write("KeyError deleting command " + name + ": not found") def update_dash(self, msg_type, *args): '''Display information in the dashboard. Most game events should affect the dashboard in some way. msg_type(str): Type of update to process. Allowed values will affect the required *args. Currently allowed msg_type values: msg_type | args ----------|------- 'hand' | A len-[0..9] list of NS-style strings. 'seat' | An apparent_seat and nickname ('' to clear). 'bid' | An apparent_seat and bid (int or None). 'card' | An apparent_seat and card (NS-style or None). 'last' | A line num (0-3) and card (NS-style or None). 'taker' | A username, None, or ''. 'scores' | A 2-tuple with Us/Them scores or None. 'trump' | A suit symbol or None. 'dealer' | <not implemented yet> 'room' | An integer room number. ''' try: #----< Hand Window Updates >----# if msg_type is 'hand': h_upd = args[0] # Do some validation on input if type(h_upd) is not list: log.error("update_dash(hand): hand data not list") return if len(h_upd) > 9: log.error("update_dash(hand): too many cards") return # Pad to 9 entries to overwrite old hand while len(h_upd) < 9: h_upd.append(' ') # Write cards to screen for k,v in dict(zip(range(2,11),h_upd)).iteritems(): self.hand.move(k,2) self.hand.addstr(v) self.hand.refresh() #----< Table Window Updates >----# elif msg_type is 'seat': apparent_seat = args[0] nickname = args[1] # Truncate long names if len(nickname) > self.TBL_NAME_LEN: nickname = nickname[:(self.TBL_NAME_LEN - 1)] + '>' # Pad short names while len(nickname) < self.TBL_NAME_LEN: nickname += ' ' # Write nickname to appropriate slot self.table.move(*self.TBL_NAMES[apparent_seat]) self.table.addstr(nickname) self.table.refresh() elif msg_type is 'bid': apparent_seat = args[0] bid = args[1] bid_strings = {None:'', 0:'Pass', 1:'Bid 1', 2:'Bid 2', 3:'Bid 3', 4:'Bid 4', 5:'Cinch!'} try: bid_str = bid_strings[bid] except KeyError: log.exception("Unrecognized bid %s", bid) bid_str = '????' while len(bid_str) < self.TBL_NAME_LEN: bid_str += ' ' self.table.move(*self.TBL_BIDS[apparent_seat]) self.table.addstr(bid_str) self.table.refresh() elif msg_type is 'card': apparent_seat = args[0] card = args[1] if card is None: card = ' ' self.table.move(*self.TBL_CARDS[apparent_seat]) self.table.addstr(card) self.table.refresh() elif msg_type is 'room': try: room_num = int(args[0]) if room_num < 0: raise TypeError except TypeError: log.exception("Room number argument %s not +int!", args[0]) room_num = 999999 if room_num is 0: room_str = "LOBBY " else: room_str = "ROOM " + str(room_num) + " " self.table.move(1,1) self.table.addstr(room_str) self.table.refresh() #----< Info Window Updates >----# elif msg_type is 'last': line = args[0] card = args[1] if card is None: card = ' ' self.info.move(*self.LAST_TRICK_DISP[line]) self.info.addstr(card) self.info.refresh() elif msg_type is 'taker': taker = args[0] if (taker is None) or (taker is ''): taker = '' else: taker = taker + ' took:' if len(taker) > self.LAST_TAKER_LEN: taker = taker[:self.LAST_TAKER_LEN - 7] + '> took:' while len(taker) < self.LAST_TAKER_LEN: taker += ' ' self.info.move(*self.LAST_TAKER_DISP) self.info.addstr(taker) self.info.refresh() elif msg_type is 'scores': log.debug('cs.update_dash--scores: %s', args) if args[0] is None: us_score = ' ' them_score = ' ' else: us_score = args[0][0] them_score = args[0][1] us_score = (str(us_score) + ' ')[:3] them_score = (str(them_score) + ' ')[:3] self.info.move(*self.US_SCORE_DISP) self.info.addstr(us_score) self.info.move(*self.THEM_SCORE_DISP) self.info.addstr(them_score) self.info.refresh() elif msg_type is 'trump': log.debug('cs.update_dash--trump: %s', args) if args[0] is None: trump = ' ' else: trump = args[0] self.info.move(*self.TRUMP_DISP) self.info.addstr(trump) self.info.refresh() elif msg_type is 'dealer': pass #TODO #----< Handle invalid input >----* else: log.error("msg_type %s not valid in update_dash", msg_type) finally: self.cmdline.refresh() # Set displayed cursor back to cmdline. def write(self, *stuff): '''Display text in the console text window, scrolling the existing contents up as needed. This is the only method that should place text in this window; other methods should pass str/unicode to this one.''' with self._write_lock: # First, parse stuff into manageable chunks. output = [] for thing in stuff: if type(thing) == unicode: thing = unicode.splitlines(thing) else: thing = str.splitlines(thing) for line in thing: output += self.textwrapper.wrap(line) # Then write each line in order. for thing in output: self.text_win.scroll(1) self.text_win.move(self.text_win.getmaxyx()[0] - 1, 0) self.text_win.addstr(thing) self.text_win.refresh() self.cmdline.refresh() # Set displayed cursor back to cmdline. def driver(window, flags): with CinchScreen(window) as cs: cs.write('Console interface test driver.') cs.write('------------------------------') if flags['s']: suits = u"Suit symbol test\n♥♦♣♠.".encode("UTF-8") cs.write(suits) if flags['a']: cs.register_command('test', r'^[0-9]$', "test N (single digit only)") if flags['b']: cs.unregister_command('test') if flags['w']: cs.log.critical(cs.log.level) cs.log.info("i: Testing curses-based logging handlers...") cs.log.debug("d: Shouldn't see me unless -l d flag set!") cs.log.error("e: Oh, what a night; Late December back in sixty three; What a very special time for me; As I remember, what a night!") cs.log.info("i: Cette année-là; je chantais pour la première fois; le public ne me connaissait pas; oh quelle année cette année-la ! (Jumping jacks!)") cs.write("cs.write call") while True: sleep(0.1) if __name__ == "__main__": parser = argparse.ArgumentParser(description = DESC) parser.add_argument("-l", "--loglevel", help="set log level (default=WARNING)", type=str, choices = list(LOG_SHORT.keys()), default='w') parser.add_argument("-a", help="reg test cmd", action='store_true') parser.add_argument("-w", help="test logging with write()", action='store_true') parser.add_argument("-b", help="del test cmd", action='store_true') parser.add_argument("-s", help="suittest", action='store_true') args = parser.parse_args() log.setLevel(LOG_SHORT[args.loglevel]) flags = {'a':args.a, 'b':args.b, 'w':args.w, 's':args.s} log.debug("%s", flags) curses.wrapper(driver, flags)

38.505071

163

0.525734

DESC = "Cinch console curses interface class, along with driver for same." import curses import curses.textpad import sys import locale locale.setlocale(locale.LC_ALL,"") import threading from time import sleep from textwrap import TextWrapper from Queue import Queue import re import argparse import logging import logging.config log = logging.getLogger(__name__) LOG_SHORT ={'d':'DEBUG', 'i':'INFO', 'w':'WARNING', 'e':'ERROR', 'c':'CRITICAL'} class CinchScreen(): def __init__(self, main_win, global_log): self.log = global_log self.main_win = main_win self.ym, self.xm = self.getsizes() self.PROMPT = "cinch> " self.textwrapper = TextWrapper(width = self.xm) self.cmd = '' self.queue = Queue() self._valid_commands = {} self._command_usage = {} self._write_lock = threading.Lock() self.DASHBOARD_HEIGHT = 12 self.COMMAND_HEIGHT = 1 self.TABLE_WIDTH = 26 self.HAND_WIDTH = 6 self.INFO_WIDTH = 30 cml = {'h':self.COMMAND_HEIGHT, 'w':self.xm - len(self.PROMPT), 'y':self.ym - self.DASHBOARD_HEIGHT - self.COMMAND_HEIGHT, 'x':len(self.PROMPT) } cpt = {'h':self.COMMAND_HEIGHT, 'w':len(self.PROMPT) + 1, 'y':cml['y'], 'x':0} tw = {'h':cpt['y'], 'w':self.xm, 'y':0, 'x':0} tbl = {'h':self.DASHBOARD_HEIGHT, 'w':self.TABLE_WIDTH, 'y':self.ym - self.DASHBOARD_HEIGHT, 'x':0} hnd = {'h':self.DASHBOARD_HEIGHT, 'w':self.HAND_WIDTH, 'y':tbl['y'], 'x':self.TABLE_WIDTH} nfo = {'h':self.DASHBOARD_HEIGHT, 'w':self.INFO_WIDTH, 'y':tbl['y'], 'x':self.TABLE_WIDTH + self.HAND_WIDTH} self.cmdline = curses.newwin(cml['h'], cml['w'], cml['y'], cml['x']) self.cmdpad = curses.textpad.Textbox(self.cmdline) self.cmdline.move(0,0) self.cmdline.refresh() self.cmdprompt = curses.newwin(cpt['h'], cpt['w'], cpt['y'], cpt['x']) self.cmdprompt.leaveok(False) self.cmdprompt.move(0,0) self.cmdprompt.addstr(self.PROMPT) self.cmdprompt.refresh() self.text_win = curses.newwin(tw['h'], tw['w'], tw['y'], tw['x']) self.text_win.scrollok(True) self.text_win.leaveok(False) self.table = curses.newwin(tbl['h'], tbl['w'], tbl['y'], tbl['x']) self.table.leaveok(False) self.table.border() self.table.move(4,9) self.table.addstr("┌──────┐") for x in range(5,8): self.table.move(x,9) self.table.addstr("│ │") self.table.move(8,9) self.table.addstr("└──────┘") self.TBL_NAMES = [( 9, 9), (5, 1), (2, 9), (5,17)] self.TBL_NAME_LEN = 8 self.TBL_CARDS = [( 7,12), (6,10), (5,12), (6,14)] self.TBL_BIDS = [(10, 9), (6, 1), (3, 9), (6,17)] self.TBL_DEALER = [( 7,10), (5,10), (5,15), (7,15)] self.table.refresh() self.hand = curses.newwin(hnd['h'], hnd['w'], hnd['y'], hnd['x']) self.hand.leaveok(False) self.hand.border() self.hand.move(1,1) self.hand.addstr("HAND") self.hand.refresh() self.LAST_TRICK_DISP = [(3,2), (3,5), (3,8), (3,11)] self.LAST_TAKER_DISP = (2,2) self.LAST_TAKER_LEN = 14 self.TRUMP_DISP = (self.DASHBOARD_HEIGHT - 2, 9) self.US_SCORE_DISP = (3, self.INFO_WIDTH - 5) self.THEM_SCORE_DISP = (6, self.INFO_WIDTH - 5) self.info = curses.newwin(nfo['h'], nfo['w'], nfo['y'], nfo['x']) self.info.leaveok(False) self.info.border() self.info.move(1,2) self.info.addstr('--Last trick--') self.info.move(self.DASHBOARD_HEIGHT - 2, 2) self.info.addstr('Trump:') self.SCORES_TEMPLATE = [' Scores ', ' ┌───┐', ' Us: │ │', ' └───┘', ' ┌───┐', ' Them:│ │', ' └───┘'] for x in range(1,8): self.info.move(x, self.INFO_WIDTH - 12) self.info.addstr(self.SCORES_TEMPLATE[x-1]) self.info.refresh() commandline_listener = threading.Thread(target=self._console_input) commandline_listener.daemon = True commandline_listener.start() def __enter__(self): self._old_stderr = sys.stderr sys.stderr = self for x in logging.Logger.manager.loggerDict: x_log = logging.getLogger(x) x_log.addHandler(logging.StreamHandler(self)) x_log.setLevel(self.log.level) if (self.log.level > logging.INFO) or (self.log.level == 0): self._old_log_level = self.log.level self.log.setLevel(logging.INFO) return self def __exit__(self, exc_type, exc_value, traceback): try: self.log.setLevel(self._old_log_level) except AttributeError: pass for x in logging.Logger.manager.loggerDict: logging.getLogger(x).handlers = [] sys.stderr = self._old_stderr log.debug("Logged after executing self.__exit__()") def _console_input(self): while True: self.cmdline.refresh() self.cmd = self.cmdpad.edit() self._parse_command() self.cmdline.erase() self.cmdline.move(0,0) self.cmdline.refresh() def getsizes(self): ym, xm = self.main_win.getmaxyx() return ym, xm def _parse_command(self): self.write(self.PROMPT + self.cmd) if self.cmd == '': return cmd_name = self.cmd.split()[0] if cmd_name in self._valid_commands: cmd_args = self.cmd[len(cmd_name):].strip() if self._valid_commands[cmd_name].match(cmd_args): self.queue.put({cmd_name:cmd_args}) else: self.write(cmd_name + ": " + self._command_usage[cmd_name] + " (" + cmd_args + " received)") else: self.write(cmd_name + ": not a valid command") self.cmd = '' def register_command(self, name, regex=r'^$', usage='usage not supplied'): self._valid_commands[name] = re.compile(regex) self._command_usage[name] = usage def unregister_command(self, name): try: del self._valid_commands[name] del self._command_usage[name] except KeyError: self.write("KeyError deleting command " + name + ": not found") def update_dash(self, msg_type, *args): try: if msg_type is 'hand': h_upd = args[0] if type(h_upd) is not list: log.error("update_dash(hand): hand data not list") return if len(h_upd) > 9: log.error("update_dash(hand): too many cards") return while len(h_upd) < 9: h_upd.append(' ') for k,v in dict(zip(range(2,11),h_upd)).iteritems(): self.hand.move(k,2) self.hand.addstr(v) self.hand.refresh() elif msg_type is 'seat': apparent_seat = args[0] nickname = args[1] if len(nickname) > self.TBL_NAME_LEN: nickname = nickname[:(self.TBL_NAME_LEN - 1)] + '>' while len(nickname) < self.TBL_NAME_LEN: nickname += ' ' self.table.move(*self.TBL_NAMES[apparent_seat]) self.table.addstr(nickname) self.table.refresh() elif msg_type is 'bid': apparent_seat = args[0] bid = args[1] bid_strings = {None:'', 0:'Pass', 1:'Bid 1', 2:'Bid 2', 3:'Bid 3', 4:'Bid 4', 5:'Cinch!'} try: bid_str = bid_strings[bid] except KeyError: log.exception("Unrecognized bid %s", bid) bid_str = '????' while len(bid_str) < self.TBL_NAME_LEN: bid_str += ' ' self.table.move(*self.TBL_BIDS[apparent_seat]) self.table.addstr(bid_str) self.table.refresh() elif msg_type is 'card': apparent_seat = args[0] card = args[1] if card is None: card = ' ' self.table.move(*self.TBL_CARDS[apparent_seat]) self.table.addstr(card) self.table.refresh() elif msg_type is 'room': try: room_num = int(args[0]) if room_num < 0: raise TypeError except TypeError: log.exception("Room number argument %s not +int!", args[0]) room_num = 999999 if room_num is 0: room_str = "LOBBY " else: room_str = "ROOM " + str(room_num) + " " self.table.move(1,1) self.table.addstr(room_str) self.table.refresh() elif msg_type is 'last': line = args[0] card = args[1] if card is None: card = ' ' self.info.move(*self.LAST_TRICK_DISP[line]) self.info.addstr(card) self.info.refresh() elif msg_type is 'taker': taker = args[0] if (taker is None) or (taker is ''): taker = '' else: taker = taker + ' took:' if len(taker) > self.LAST_TAKER_LEN: taker = taker[:self.LAST_TAKER_LEN - 7] + '> took:' while len(taker) < self.LAST_TAKER_LEN: taker += ' ' self.info.move(*self.LAST_TAKER_DISP) self.info.addstr(taker) self.info.refresh() elif msg_type is 'scores': log.debug('cs.update_dash--scores: %s', args) if args[0] is None: us_score = ' ' them_score = ' ' else: us_score = args[0][0] them_score = args[0][1] us_score = (str(us_score) + ' ')[:3] them_score = (str(them_score) + ' ')[:3] self.info.move(*self.US_SCORE_DISP) self.info.addstr(us_score) self.info.move(*self.THEM_SCORE_DISP) self.info.addstr(them_score) self.info.refresh() elif msg_type is 'trump': log.debug('cs.update_dash--trump: %s', args) if args[0] is None: trump = ' ' else: trump = args[0] self.info.move(*self.TRUMP_DISP) self.info.addstr(trump) self.info.refresh() elif msg_type is 'dealer': pass else: log.error("msg_type %s not valid in update_dash", msg_type) finally: self.cmdline.refresh() def write(self, *stuff): with self._write_lock: output = [] for thing in stuff: if type(thing) == unicode: thing = unicode.splitlines(thing) else: thing = str.splitlines(thing) for line in thing: output += self.textwrapper.wrap(line) for thing in output: self.text_win.scroll(1) self.text_win.move(self.text_win.getmaxyx()[0] - 1, 0) self.text_win.addstr(thing) self.text_win.refresh() self.cmdline.refresh() def driver(window, flags): with CinchScreen(window) as cs: cs.write('Console interface test driver.') cs.write('------------------------------') if flags['s']: suits = u"Suit symbol test\n♥♦♣♠.".encode("UTF-8") cs.write(suits) if flags['a']: cs.register_command('test', r'^[0-9]$', "test N (single digit only)") if flags['b']: cs.unregister_command('test') if flags['w']: cs.log.critical(cs.log.level) cs.log.info("i: Testing curses-based logging handlers...") cs.log.debug("d: Shouldn't see me unless -l d flag set!") cs.log.error("e: Oh, what a night; Late December back in sixty three; What a very special time for me; As I remember, what a night!") cs.log.info("i: Cette année-là; je chantais pour la première fois; le public ne me connaissait pas; oh quelle année cette année-la ! (Jumping jacks!)") cs.write("cs.write call") while True: sleep(0.1) if __name__ == "__main__": parser = argparse.ArgumentParser(description = DESC) parser.add_argument("-l", "--loglevel", help="set log level (default=WARNING)", type=str, choices = list(LOG_SHORT.keys()), default='w') parser.add_argument("-a", help="reg test cmd", action='store_true') parser.add_argument("-w", help="test logging with write()", action='store_true') parser.add_argument("-b", help="del test cmd", action='store_true') parser.add_argument("-s", help="suittest", action='store_true') args = parser.parse_args() log.setLevel(LOG_SHORT[args.loglevel]) flags = {'a':args.a, 'b':args.b, 'w':args.w, 's':args.s} log.debug("%s", flags) curses.wrapper(driver, flags)

true

f7f5057250989eae8d9b8d9e45508d107c716ea0

9,229

py

Python

ttbd/ttbl/store.py

jhaapako/tcf

ecd75404459c6fec9d9fa1522b70a8deab896644

[ "Apache-2.0" ]

24

2018-08-21T18:04:48.000Z

2022-02-07T22:50:06.000Z

ttbd/ttbl/store.py

jhaapako/tcf

ecd75404459c6fec9d9fa1522b70a8deab896644

[ "Apache-2.0" ]

16

2018-08-21T18:03:52.000Z

2022-03-01T17:15:42.000Z

ttbd/ttbl/store.py

jhaapako/tcf

ecd75404459c6fec9d9fa1522b70a8deab896644

[ "Apache-2.0" ]

29

2018-08-22T19:40:59.000Z

2021-12-21T11:13:23.000Z

#! /usr/bin/python3 # # Copyright (c) 2017-20 Intel Corporation # # SPDX-License-Identifier: Apache-2.0 """ File storage interface ---------------------- Export an interface on each target that allows the user to: - upload files to the servr - download files from the server - remove said files form the server - list them each user has a separate storage area, flat in structure (no subdirectories) which can be use to place blobs which might be removed by the server after a certain time based on policy. Note these storage areas are common to all the targets for each user. Examples: - upload files to the server than then other tools will use to (eg: burn into a Flash ROM). """ import errno import hashlib import os import re import commonl import ttbl #: List of paths in the systems where clients are allowed to read #: files from #: #: Each entry is the path is the top level directory the user can #: specify and the value is the mapping into the real file system path. #: #: In any :ref:`server configuration file <ttbd_configuration>`, add: #: #: >>> ttbl.store.paths_allowed['/images'] = '/home/SOMEUSER/images' #: #: Note it is not allowed to upload files to these locations, just to #: list and download. paths_allowed = { } class interface(ttbl.tt_interface): def __init__(self): ttbl.tt_interface.__init__(self) def _target_setup(self, target, iface_name): pass def _release_hook(self, target, _force): pass _bad_path = re.compile(r"(^\.\.$|^\.\./|/\.\./|/\.\.$)") # Paths allowed to access in TARGETSTATEDIR/PATH target_sub_paths = { # PATH1: False, # read-only # PATH2: True, # read-write # For the capture interface FIXME move to ttbl/capture.py "capture": False, } def _validate_file_path(self, target, file_path, user_path): matches = self._bad_path.findall(file_path) if matches \ or os.path.pardir in file_path: raise ValueError("%s: file path cannot contains components: " "%s" % (file_path, " ".join(matches))) if target: for subpath, rw in self.target_sub_paths.items(): if file_path.startswith(subpath + "/"): # file comes from the targt's designated state # directory (capture, certificates) remove any # possible nastiness file_name = os.path.basename(file_path) file_path_final = os.path.join(target.state_dir, subpath, file_name) return file_path_final, rw # fall through if not os.path.isabs(file_path): # file comes from the user's storage file_path_normalized = os.path.normpath(file_path) file_path_final = os.path.join(user_path, file_path_normalized) return file_path_final, True # file from the system (mounted FS or similar); # double check it is allowed for path, path_translated in paths_allowed.items(): if file_path.startswith(path): file_path = file_path.replace(path, path_translated, 1) file_path_final = os.path.normpath(file_path) return file_path_final, False # FIXME: always read-only? # FIXME: use PermissionError in Python3 raise RuntimeError( "%s: tries to read from a location that is not allowed" % file_path) def _validate_path(self, target, path): if target: for subpath, _rw in self.target_sub_paths.items(): if path.startswith(subpath + "/") or path == subpath: # file comes from the targt's designated state # directory (capture, certificates) remove any # possible nastiness return os.path.join(target.state_dir, subpath) for valid_path, translated_path in paths_allowed.items(): if path.startswith(valid_path): return path.replace(valid_path, translated_path, 1) raise RuntimeError("%s: path not allowed" % path) valid_digests = { "md5": "MD5", "sha256": "SHA256", "sha512": "SHA512", "zero": "no signature" } def get_list(self, target, _who, args, _files, user_path): filenames = self.arg_get(args, 'filenames', list, allow_missing = True, default = [ ]) path = self.arg_get(args, 'path', str, allow_missing = True, default = None) if path == None: path = user_path elif path == "/": pass # special handling else: path = self._validate_path(target, path) digest = self.arg_get(args, 'digest', str, allow_missing = True, default = "sha256") if digest not in self.valid_digests: raise RuntimeError("%s: digest not allowed (only %s)" % digest, ", ".join(self.valid_digests)) file_data = {} if path == "/": # we want the top level list of folders, handle it specially for path in paths_allowed: file_data[path] = "directory" file_data['result'] = dict(file_data) # COMPAT return file_data def _list_filename(index_filename, filename): file_path = os.path.join(path, filename) try: if digest == "zero": file_data[index_filename] = "0" else: # note file path is normalized, so we shouldn't # get multiple cahce entries for different paths file_data[index_filename] = commonl.hash_file_cached(file_path, digest) except ( OSError, IOError ) as e: if e.errno != errno.ENOENT: raise # the file does not exist, ignore it if filenames: for filename in filenames: if not isinstance(filename, str): continue file_path, _rw = self._validate_file_path(target, filename, path) if os.path.isdir(file_path): file_data[filename] = 'directory' else: _list_filename(filename, file_path) else: for _path, dirnames, files in os.walk(path, topdown = True): for filename in files: _list_filename(filename, filename) for dirname in dirnames: file_data[dirname] = 'directory' # WE ONLY generate the list of the path, not for # subpaths -- by design we only do the first level # because otherwise we could be generating a lot of # load in the system if a user makes a mistake and # keeps asking for a recursive list. # FIXME: throttle this call break file_data['result'] = dict(file_data) # COMPAT return file_data def post_file(self, target, _who, args, files, user_path): # we can only upload to the user's storage path, never to # paths_allowed -> hence why we alway prefix it. file_path = self.arg_get(args, 'file_path', str) file_path_final, rw = self._validate_file_path(target, file_path, user_path) if not rw: raise PermissionError(f"{file_path}: is a read only location") file_object = files['file'] file_object.save(file_path_final) commonl.makedirs_p(user_path) target.log.debug("%s: saved" % file_path_final) return dict() def get_file(self, target, _who, args, _files, user_path): # we can get files from the user's path or from paths_allowed; # an absolute path is assumed to come from paths_allowed, # otherwise from the user's storage area. file_path = self.arg_get(args, 'file_path', str) offset = self.arg_get(args, 'offset', int, allow_missing = True, default = 0) file_path_final, _ = self._validate_file_path(target, file_path, user_path) # interface core has file streaming support builtin # already, it will take care of streaming the file to the # client try: generation = os.readlink(file_path_final + ".generation") except OSError: generation = 0 # ttbd will parse this response in _target_interface() to # return a raw file according to these parameters. return dict( stream_file = file_path_final, stream_generation = generation, stream_offset = offset, ) def delete_file(self, target, _who, args, _files, user_path): file_path = self.arg_get(args, 'file_path', str) file_path_final, rw = self._validate_file_path(target, file_path, user_path) if not rw: raise PermissionError(f"{file_path}: is a read only location") commonl.rm_f(file_path_final) return dict()

38.615063

91

0.59183

import errno import hashlib import os import re import commonl import ttbl paths_allowed = { } class interface(ttbl.tt_interface): def __init__(self): ttbl.tt_interface.__init__(self) def _target_setup(self, target, iface_name): pass def _release_hook(self, target, _force): pass _bad_path = re.compile(r"(^\.\.$|^\.\./|/\.\./|/\.\.$)") target_sub_paths = { "capture": False, } def _validate_file_path(self, target, file_path, user_path): matches = self._bad_path.findall(file_path) if matches \ or os.path.pardir in file_path: raise ValueError("%s: file path cannot contains components: " "%s" % (file_path, " ".join(matches))) if target: for subpath, rw in self.target_sub_paths.items(): if file_path.startswith(subpath + "/"): # directory (capture, certificates) remove any # possible nastiness file_name = os.path.basename(file_path) file_path_final = os.path.join(target.state_dir, subpath, file_name) return file_path_final, rw # fall through if not os.path.isabs(file_path): # file comes from the user's storage file_path_normalized = os.path.normpath(file_path) file_path_final = os.path.join(user_path, file_path_normalized) return file_path_final, True for path, path_translated in paths_allowed.items(): if file_path.startswith(path): file_path = file_path.replace(path, path_translated, 1) file_path_final = os.path.normpath(file_path) return file_path_final, False raise RuntimeError( "%s: tries to read from a location that is not allowed" % file_path) def _validate_path(self, target, path): if target: for subpath, _rw in self.target_sub_paths.items(): if path.startswith(subpath + "/") or path == subpath: # directory (capture, certificates) remove any # possible nastiness return os.path.join(target.state_dir, subpath) for valid_path, translated_path in paths_allowed.items(): if path.startswith(valid_path): return path.replace(valid_path, translated_path, 1) raise RuntimeError("%s: path not allowed" % path) valid_digests = { "md5": "MD5", "sha256": "SHA256", "sha512": "SHA512", "zero": "no signature" } def get_list(self, target, _who, args, _files, user_path): filenames = self.arg_get(args, 'filenames', list, allow_missing = True, default = [ ]) path = self.arg_get(args, 'path', str, allow_missing = True, default = None) if path == None: path = user_path elif path == "/": pass # special handling else: path = self._validate_path(target, path) digest = self.arg_get(args, 'digest', str, allow_missing = True, default = "sha256") if digest not in self.valid_digests: raise RuntimeError("%s: digest not allowed (only %s)" % digest, ", ".join(self.valid_digests)) file_data = {} if path == "/": # we want the top level list of folders, handle it specially for path in paths_allowed: file_data[path] = "directory" file_data['result'] = dict(file_data) # COMPAT return file_data def _list_filename(index_filename, filename): file_path = os.path.join(path, filename) try: if digest == "zero": file_data[index_filename] = "0" else: # note file path is normalized, so we shouldn't file_data[index_filename] = commonl.hash_file_cached(file_path, digest) except ( OSError, IOError ) as e: if e.errno != errno.ENOENT: raise if filenames: for filename in filenames: if not isinstance(filename, str): continue file_path, _rw = self._validate_file_path(target, filename, path) if os.path.isdir(file_path): file_data[filename] = 'directory' else: _list_filename(filename, file_path) else: for _path, dirnames, files in os.walk(path, topdown = True): for filename in files: _list_filename(filename, filename) for dirname in dirnames: file_data[dirname] = 'directory' break file_data['result'] = dict(file_data) return file_data def post_file(self, target, _who, args, files, user_path): # paths_allowed -> hence why we alway prefix it. file_path = self.arg_get(args, 'file_path', str) file_path_final, rw = self._validate_file_path(target, file_path, user_path) if not rw: raise PermissionError(f"{file_path}: is a read only location") file_object = files['file'] file_object.save(file_path_final) commonl.makedirs_p(user_path) target.log.debug("%s: saved" % file_path_final) return dict() def get_file(self, target, _who, args, _files, user_path): # we can get files from the user's path or from paths_allowed; file_path = self.arg_get(args, 'file_path', str) offset = self.arg_get(args, 'offset', int, allow_missing = True, default = 0) file_path_final, _ = self._validate_file_path(target, file_path, user_path) # interface core has file streaming support builtin # already, it will take care of streaming the file to the # client try: generation = os.readlink(file_path_final + ".generation") except OSError: generation = 0 # ttbd will parse this response in _target_interface() to # return a raw file according to these parameters. return dict( stream_file = file_path_final, stream_generation = generation, stream_offset = offset, ) def delete_file(self, target, _who, args, _files, user_path): file_path = self.arg_get(args, 'file_path', str) file_path_final, rw = self._validate_file_path(target, file_path, user_path) if not rw: raise PermissionError(f"{file_path}: is a read only location") commonl.rm_f(file_path_final) return dict()

true

f7f505cc652887e8e2b4485259dc556dc177920c

723

py

Python

code/good_dims.py

spragunr/jmu_ml_dimensionality_lab

c6fe5adba8520f2a81f00556dcbf3574c1437016

[ "MIT" ]

null

code/good_dims.py

spragunr/jmu_ml_dimensionality_lab

c6fe5adba8520f2a81f00556dcbf3574c1437016

[ "MIT" ]

null

code/good_dims.py

spragunr/jmu_ml_dimensionality_lab

c6fe5adba8520f2a81f00556dcbf3574c1437016

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Fri Jan 17 09:18:20 2020 @author: spragunr """ import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D num = 100 D = np.zeros((num, 6)) D[:,0] = np.random.randn(num) D[:,1] = np.random.random(num) D[np.random.randint(num, size=25), 2] = .5 D[np.random.randint(num, size=25), 2] = 1.0 D[:,3] = np.random.randn(num) D[:,4] = np.random.random(num) + .2 * D[:, 3] D[:,5] = D[:,1] * D[:,3] print(D) plt.plot(D[:,1], D[:,5], '*') plt.plot(D[:,3], D[:,5], "o") fig = plt.figure() ax = fig.add_subplot(111, projection='3d') ax.scatter(D[:,1], D[:, 3], D[:,5]) plt.show() np.savetxt('dims.csv', D, fmt='%.5f', delimiter=',')

20.657143

52

0.587828

import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D num = 100 D = np.zeros((num, 6)) D[:,0] = np.random.randn(num) D[:,1] = np.random.random(num) D[np.random.randint(num, size=25), 2] = .5 D[np.random.randint(num, size=25), 2] = 1.0 D[:,3] = np.random.randn(num) D[:,4] = np.random.random(num) + .2 * D[:, 3] D[:,5] = D[:,1] * D[:,3] print(D) plt.plot(D[:,1], D[:,5], '*') plt.plot(D[:,3], D[:,5], "o") fig = plt.figure() ax = fig.add_subplot(111, projection='3d') ax.scatter(D[:,1], D[:, 3], D[:,5]) plt.show() np.savetxt('dims.csv', D, fmt='%.5f', delimiter=',')

true

f7f5077ce84f52eb001d1ed55bce909d535cd05f

30

py

Python

PiCN/Layers/__init__.py

NikolaiRutz/PiCN

7775c61caae506a88af2e4ec34349e8bd9098459

[ "BSD-3-Clause" ]

null

PiCN/Layers/__init__.py

NikolaiRutz/PiCN

7775c61caae506a88af2e4ec34349e8bd9098459

[ "BSD-3-Clause" ]

5

2020-07-15T09:01:42.000Z

2020-09-28T08:45:21.000Z

PiCN/Layers/__init__.py

NikolaiRutz/PiCN

7775c61caae506a88af2e4ec34349e8bd9098459

[ "BSD-3-Clause" ]

null

"""Layers of the PiCN Stack"""

30

0.666667

true

f7f5079374313f0892e454e222ee2e8eef9ff5f3

2,026

py

Python

setup.py

cchu70/getzlab-SignatureAnalyzer

e83d4673b181b982775b74046ae7ad3f10301def

[ "MIT" ]

5

2021-11-23T16:19:22.000Z

2022-01-30T01:36:41.000Z

setup.py

cchu70/getzlab-SignatureAnalyzer

e83d4673b181b982775b74046ae7ad3f10301def

[ "MIT" ]

10

2021-11-06T16:49:58.000Z

2022-02-08T09:52:43.000Z

setup.py

cchu70/getzlab-SignatureAnalyzer

e83d4673b181b982775b74046ae7ad3f10301def

[ "MIT" ]

6

2021-11-09T04:34:15.000Z

2022-03-23T19:43:52.000Z

from setuptools import setup import re import os import sys ver_info = sys.version_info if ver_info < (3,6,0): raise RuntimeError("signatureanalyzer requires at least python 3.6.0") with open(os.path.join(os.path.dirname(__file__), 'signatureanalyzer', '__init__.py')) as r: version = re.search(r'__version__ = \'(\d+\.\d+\.\d+[-_a-zA-Z0-9]*)\'', r.read()).group(1) setup( name = 'signatureanalyzer', version = version, author = 'Shankara Anand & Justin Cha - Broad Institute - Cancer Genome Computational Analysis', author_email = 'sanand@broadinstitute.org', url = 'https://github.com/broadinstitute/getzlab-SignatureAnalyzer', long_description = open("README.md", encoding="utf-8").read(), long_description_content_type = 'text/markdown', description = 'Bayesian NMF methods for mutational signature analysis & transcriptomic profiling on GPUs (Getz Lab).', packages = [ 'signatureanalyzer', 'signatureanalyzer.plotting', 'signatureanalyzer.pathways', 'signatureanalyzer.signatureanalyzer_gpu' ], install_requires = [ "gprofiler", "h5py>=2.9.0", "matplotlib", "numpy", "pandas>=0.25.0", "pyarrow>=0.14.1", "scikit-image>=0.15.0", "scikit-learn>=0.21.3", "scipy", "seaborn>=0.9.0", "tables>=3.6.1", "torch>=1.2.0", "tqdm>=4.33.0", "twobitreader>=3.1.7", ], package_data = { "":[ "ref/cosmic_v2/sa*", "ref/cosmic_v3/sa*" ] }, entry_points = { 'console_scripts': [ 'signatureanalyzer = signatureanalyzer.__main__:main' ] }, classifiers = [ "Development Status :: 3 - Alpha", "Programming Language :: Python :: 3", "Intended Audience :: Science/Research", "Topic :: Scientific/Engineering :: Bio-Informatics", "Topic :: Scientific/Engineering :: Interface Engine/Protocol Translator", ], license="MIT" )

31.65625

122

0.60464

from setuptools import setup import re import os import sys ver_info = sys.version_info if ver_info < (3,6,0): raise RuntimeError("signatureanalyzer requires at least python 3.6.0") with open(os.path.join(os.path.dirname(__file__), 'signatureanalyzer', '__init__.py')) as r: version = re.search(r'__version__ = \'(\d+\.\d+\.\d+[-_a-zA-Z0-9]*)\'', r.read()).group(1) setup( name = 'signatureanalyzer', version = version, author = 'Shankara Anand & Justin Cha - Broad Institute - Cancer Genome Computational Analysis', author_email = 'sanand@broadinstitute.org', url = 'https://github.com/broadinstitute/getzlab-SignatureAnalyzer', long_description = open("README.md", encoding="utf-8").read(), long_description_content_type = 'text/markdown', description = 'Bayesian NMF methods for mutational signature analysis & transcriptomic profiling on GPUs (Getz Lab).', packages = [ 'signatureanalyzer', 'signatureanalyzer.plotting', 'signatureanalyzer.pathways', 'signatureanalyzer.signatureanalyzer_gpu' ], install_requires = [ "gprofiler", "h5py>=2.9.0", "matplotlib", "numpy", "pandas>=0.25.0", "pyarrow>=0.14.1", "scikit-image>=0.15.0", "scikit-learn>=0.21.3", "scipy", "seaborn>=0.9.0", "tables>=3.6.1", "torch>=1.2.0", "tqdm>=4.33.0", "twobitreader>=3.1.7", ], package_data = { "":[ "ref/cosmic_v2/sa*", "ref/cosmic_v3/sa*" ] }, entry_points = { 'console_scripts': [ 'signatureanalyzer = signatureanalyzer.__main__:main' ] }, classifiers = [ "Development Status :: 3 - Alpha", "Programming Language :: Python :: 3", "Intended Audience :: Science/Research", "Topic :: Scientific/Engineering :: Bio-Informatics", "Topic :: Scientific/Engineering :: Interface Engine/Protocol Translator", ], license="MIT" )

true

f7f508af78699ec9bde76677bf0ec282811530b1

2,809

py

Python

translate.py

zhczhong/attention-is-all-you-need-pytorch

f58eeb04e40575def05f5cb1fc2906d55aa05ebe

[ "MIT" ]

null

translate.py

zhczhong/attention-is-all-you-need-pytorch

f58eeb04e40575def05f5cb1fc2906d55aa05ebe

[ "MIT" ]

null

translate.py

zhczhong/attention-is-all-you-need-pytorch

f58eeb04e40575def05f5cb1fc2906d55aa05ebe

[ "MIT" ]

null

''' Translate input text with trained model. ''' import torch import torch.utils.data import argparse from tqdm import tqdm from dataset import collate_fn, TranslationDataset from transformer.Translator import Translator from preprocess import read_instances_from_file, convert_instance_to_idx_seq from utils.postprocess import del_repeat def main(): '''Main Function''' parser = argparse.ArgumentParser(description='translate.py') parser.add_argument('-model', required=True, help='Path to model .pt file') parser.add_argument('-src', required=True, help='Source sequence to decode (one line per sequence)') parser.add_argument('-vocab', required=True, help='Source sequence to decode (one line per sequence)') parser.add_argument('-output', default='pred.txt', help="""Path to output the predictions (each line will be the decoded sequence""") parser.add_argument('-beam_size', type=int, default=5, help='Beam size') parser.add_argument('-batch_size', type=int, default=30, help='Batch size') parser.add_argument('-n_best', type=int, default=1, help="""If verbose is set, will output the n_best decoded sentences""") parser.add_argument('-no_cuda', action='store_true') opt = parser.parse_args() opt.cuda = not opt.no_cuda # Prepare DataLoader preprocess_data = torch.load(opt.vocab) preprocess_settings = preprocess_data['settings'] test_src_word_insts = read_instances_from_file( opt.src, preprocess_settings.max_word_seq_len, preprocess_settings.keep_case) test_src_insts = convert_instance_to_idx_seq( test_src_word_insts, preprocess_data['dict']['src']) test_loader = torch.utils.data.DataLoader( TranslationDataset( src_word2idx=preprocess_data['dict']['src'], tgt_word2idx=preprocess_data['dict']['tgt'], src_insts=test_src_insts), num_workers=2, batch_size=opt.batch_size, collate_fn=collate_fn) encoder = torch.load("./49.pth")["encoder"] translator = Translator(encoder,opt) with open(opt.output, 'w') as f: for batch in tqdm(test_loader, mininterval=2, desc=' - (Test)', leave=False): all_hyp, all_scores = translator.translate_batch(*batch) for idx_seqs in all_hyp: for idx_seq in idx_seqs: pred_line = ' '.join([test_loader.dataset.tgt_idx2word[idx] for idx in idx_seq[:-1]]) f.write(pred_line + '\n') print('[Info] Finished.') if __name__ == "__main__": main()

39.013889

105

0.632253

import torch import torch.utils.data import argparse from tqdm import tqdm from dataset import collate_fn, TranslationDataset from transformer.Translator import Translator from preprocess import read_instances_from_file, convert_instance_to_idx_seq from utils.postprocess import del_repeat def main(): parser = argparse.ArgumentParser(description='translate.py') parser.add_argument('-model', required=True, help='Path to model .pt file') parser.add_argument('-src', required=True, help='Source sequence to decode (one line per sequence)') parser.add_argument('-vocab', required=True, help='Source sequence to decode (one line per sequence)') parser.add_argument('-output', default='pred.txt', help="""Path to output the predictions (each line will be the decoded sequence""") parser.add_argument('-beam_size', type=int, default=5, help='Beam size') parser.add_argument('-batch_size', type=int, default=30, help='Batch size') parser.add_argument('-n_best', type=int, default=1, help="""If verbose is set, will output the n_best decoded sentences""") parser.add_argument('-no_cuda', action='store_true') opt = parser.parse_args() opt.cuda = not opt.no_cuda preprocess_data = torch.load(opt.vocab) preprocess_settings = preprocess_data['settings'] test_src_word_insts = read_instances_from_file( opt.src, preprocess_settings.max_word_seq_len, preprocess_settings.keep_case) test_src_insts = convert_instance_to_idx_seq( test_src_word_insts, preprocess_data['dict']['src']) test_loader = torch.utils.data.DataLoader( TranslationDataset( src_word2idx=preprocess_data['dict']['src'], tgt_word2idx=preprocess_data['dict']['tgt'], src_insts=test_src_insts), num_workers=2, batch_size=opt.batch_size, collate_fn=collate_fn) encoder = torch.load("./49.pth")["encoder"] translator = Translator(encoder,opt) with open(opt.output, 'w') as f: for batch in tqdm(test_loader, mininterval=2, desc=' - (Test)', leave=False): all_hyp, all_scores = translator.translate_batch(*batch) for idx_seqs in all_hyp: for idx_seq in idx_seqs: pred_line = ' '.join([test_loader.dataset.tgt_idx2word[idx] for idx in idx_seq[:-1]]) f.write(pred_line + '\n') print('[Info] Finished.') if __name__ == "__main__": main()

true

f7f508d87c0216f1f37dcfeba4319027f09d8447

1,733

py

Python

flask_api/server.py

pedrocarvalhodev/flask_api

31f57626f6c5f94c600fb53867b490aee7c74f8c

[ "MIT" ]

214

2017-09-29T06:21:28.000Z

2022-01-08T00:15:54.000Z

flask_api/server.py

pedrocarvalhodev/flask_api

31f57626f6c5f94c600fb53867b490aee7c74f8c

[ "MIT" ]

2

2017-09-29T10:34:40.000Z

2018-06-20T12:55:56.000Z

flask_api/server.py

pedrocarvalhodev/flask_api

31f57626f6c5f94c600fb53867b490aee7c74f8c

[ "MIT" ]

141

2017-09-29T04:57:39.000Z

2022-02-09T22:48:43.000Z

import os import pandas as pd import dill as pickle from flask import Flask, jsonify, request from utils import PreProcessing app = Flask(__name__) @app.route('/predict', methods=['POST']) def apicall(): """API Call Pandas dataframe (sent as a payload) from API Call """ try: test_json = request.get_json() test = pd.read_json(test_json, orient='records') #To resolve the issue of TypeError: Cannot compare types 'ndarray(dtype=int64)' and 'str' test['Dependents'] = [str(x) for x in list(test['Dependents'])] #Getting the Loan_IDs separated out loan_ids = test['Loan_ID'] except Exception as e: raise e clf = 'model_v1.pk' if test.empty: return(bad_request()) else: #Load the saved model print("Loading the model...") loaded_model = None with open('./models/'+clf,'rb') as f: loaded_model = pickle.load(f) print("The model has been loaded...doing predictions now...") predictions = loaded_model.predict(test) """Add the predictions as Series to a new pandas dataframe OR Depending on the use-case, the entire test data appended with the new files """ prediction_series = list(pd.Series(predictions)) final_predictions = pd.DataFrame(list(zip(loan_ids, prediction_series))) """We can be as creative in sending the responses. But we need to send the response codes as well. """ responses = jsonify(predictions=final_predictions.to_json(orient="records")) responses.status_code = 200 return (responses) @app.errorhandler(400) def bad_request(error=None): message = { 'status': 400, 'message': 'Bad Request: ' + request.url + '--> Please check your data payload...', } resp = jsonify(message) resp.status_code = 400 return resp

25.485294

91

0.701096

import os import pandas as pd import dill as pickle from flask import Flask, jsonify, request from utils import PreProcessing app = Flask(__name__) @app.route('/predict', methods=['POST']) def apicall(): try: test_json = request.get_json() test = pd.read_json(test_json, orient='records') test['Dependents'] = [str(x) for x in list(test['Dependents'])] loan_ids = test['Loan_ID'] except Exception as e: raise e clf = 'model_v1.pk' if test.empty: return(bad_request()) else: print("Loading the model...") loaded_model = None with open('./models/'+clf,'rb') as f: loaded_model = pickle.load(f) print("The model has been loaded...doing predictions now...") predictions = loaded_model.predict(test) """Add the predictions as Series to a new pandas dataframe OR Depending on the use-case, the entire test data appended with the new files """ prediction_series = list(pd.Series(predictions)) final_predictions = pd.DataFrame(list(zip(loan_ids, prediction_series))) """We can be as creative in sending the responses. But we need to send the response codes as well. """ responses = jsonify(predictions=final_predictions.to_json(orient="records")) responses.status_code = 200 return (responses) @app.errorhandler(400) def bad_request(error=None): message = { 'status': 400, 'message': 'Bad Request: ' + request.url + '--> Please check your data payload...', } resp = jsonify(message) resp.status_code = 400 return resp

true

f7f50a664ec44b3942333cc05d427de5c1007e01

19,671

py

Python

alf/algorithms/agent.py

www2171668/alf

6e3731fc559d3b4e6b5b9ed6251fff728a560d64

[ "Apache-2.0" ]

null

alf/algorithms/agent.py

www2171668/alf

6e3731fc559d3b4e6b5b9ed6251fff728a560d64

[ "Apache-2.0" ]

null

alf/algorithms/agent.py

www2171668/alf

6e3731fc559d3b4e6b5b9ed6251fff728a560d64

[ "Apache-2.0" ]

null

# Copyright (c) 2019 Horizon Robotics. 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 required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """Agent for integrating multiple algorithms.""" import copy from typing import Callable import alf from alf.algorithms.actor_critic_algorithm import ActorCriticAlgorithm from alf.algorithms.agent_helpers import AgentHelper from alf.algorithms.config import TrainerConfig from alf.algorithms.entropy_target_algorithm import ( EntropyTargetAlgorithm, NestedEntropyTargetAlgorithm) from alf.algorithms.icm_algorithm import ICMAlgorithm from alf.algorithms.mbrl_algorithm import LatentMbrlAlgorithm from alf.algorithms.predictive_representation_learner import \ PredictiveRepresentationLearner from alf.algorithms.rl_algorithm import RLAlgorithm from alf.data_structures import AlgStep, Experience from alf.data_structures import TimeStep, namedtuple from alf.tensor_specs import TensorSpec AgentState = namedtuple( "AgentState", ["rl", "irm", "goal_generator", "repr", "rw"], default_value=()) AgentInfo = namedtuple( "AgentInfo", ["rl", "irm", "goal_generator", "entropy_target", "repr", "rw", "rewards"], default_value=()) @alf.configurable class Agent(RLAlgorithm): """Agent is a master algorithm that integrates different algorithms together. """ def __init__(self, observation_spec, action_spec, reward_spec=TensorSpec(()), env=None, config: TrainerConfig = None, rl_algorithm_cls=ActorCriticAlgorithm, reward_weight_algorithm_cls=None, representation_learner_cls=None, goal_generator=None, intrinsic_reward_module=None, intrinsic_reward_coef=1.0, extrinsic_reward_coef=1.0, enforce_entropy_target=False, entropy_target_cls=None, optimizer=None, debug_summaries=False, name="AgentAlgorithm"): """ Args: observation_spec (nested TensorSpec): representing the observations. action_spec (nested BoundedTensorSpec): representing the actions. reward_spec (TensorSpec): a rank-1 or rank-0 tensor spec representing the reward(s). env (Environment): The environment to interact with. ``env`` is a batched environment, which means that it runs multiple simulations simultaneously. Running multiple environments in parallel is crucial to on-policy algorithms as it increases the diversity of data and decreases temporal correlation. ``env`` only needs to be provided to the root ``Algorithm``. config (TrainerConfig): config for training. config only needs to be provided to the algorithm which performs ``train_iter()`` by itself. rl_algorithm_cls (type): The algorithm class for learning the policy. reward_weight_algorithm_cls (type): The algorithm class for adjusting reward weights when multi-dim rewards are used. If provided, the the default ``reward_weights`` of ``rl_algorithm`` will be overwritten by this algorithm. representation_learner_cls (type): The algorithm class for learning the representation. If provided, the constructed learner will calculate the representation from the original observation as the observation for downstream algorithms such as ``rl_algorithm``. intrinsic_reward_module (Algorithm): an algorithm whose outputs is a scalar intrinsic reward. goal_generator (Algorithm): an algorithm which outputs a tuple of goal vector and a reward. The reward can be ``()`` if no reward is given. intrinsic_reward_coef (float): Coefficient for intrinsic reward extrinsic_reward_coef (float): Coefficient for extrinsic reward enforce_entropy_target (bool): If True, use ``(Nested)EntropyTargetAlgorithm`` to dynamically adjust entropy regularization so that entropy is not smaller than ``entropy_target`` supplied for constructing ``(Nested)EntropyTargetAlgorithm``. If this is enabled, make sure you don't use ``entropy_regularization`` for loss (see ``ActorCriticLoss`` or ``PPOLoss``). In order to use this, The ``AlgStep.info`` from ``rl_algorithm_cls.train_step()`` and ``rl_algorithm_cls.rollout_step()`` needs to contain ``action_distribution``. entropy_target_cls (type): If provided, will be used to dynamically adjust entropy regularization. optimizer (optimizer): The optimizer for training debug_summaries (bool): True if debug summaries should be created. name (str): Name of this algorithm. """ agent_helper = AgentHelper(AgentState) rl_observation_spec = observation_spec ## 0. representation learner representation_learner = None if representation_learner_cls is not None: representation_learner = representation_learner_cls( observation_spec=rl_observation_spec, action_spec=action_spec, debug_summaries=debug_summaries) rl_observation_spec = representation_learner.output_spec agent_helper.register_algorithm(representation_learner, "repr") ## 1. goal generator if goal_generator is not None: agent_helper.register_algorithm(goal_generator, "goal_generator") rl_observation_spec = [ rl_observation_spec, goal_generator.action_spec ] ## 2. rl algorithm rl_algorithm = rl_algorithm_cls( observation_spec=rl_observation_spec, action_spec=action_spec, reward_spec=reward_spec, debug_summaries=debug_summaries) agent_helper.register_algorithm(rl_algorithm, "rl") if isinstance(rl_algorithm, LatentMbrlAlgorithm): assert isinstance(representation_learner, PredictiveRepresentationLearner), ( "need to use " "PredictiveRepresentationLearner") rl_algorithm.set_latent_predictive_representation_module( representation_learner) ## 3. intrinsic motivation module if intrinsic_reward_module is not None: agent_helper.register_algorithm(intrinsic_reward_module, "irm") ## 4. entropy target entropy_target_algorithm = None if entropy_target_cls or enforce_entropy_target: if entropy_target_cls is None: if alf.nest.is_nested(action_spec): entropy_target_cls = NestedEntropyTargetAlgorithm else: entropy_target_cls = EntropyTargetAlgorithm entropy_target_algorithm = entropy_target_cls( action_spec, debug_summaries=debug_summaries) agent_helper.register_algorithm(entropy_target_algorithm, "entropy_target") # 5. reward weight algorithm reward_weight_algorithm = None if reward_weight_algorithm_cls is not None: reward_weight_algorithm = reward_weight_algorithm_cls( reward_spec=reward_spec, debug_summaries=debug_summaries) agent_helper.register_algorithm(reward_weight_algorithm, "rw") # Initialize the reward weights of the rl algorithm rl_algorithm.set_reward_weights( reward_weight_algorithm.reward_weights) super().__init__( observation_spec=observation_spec, action_spec=action_spec, reward_spec=reward_spec, optimizer=optimizer, is_on_policy=rl_algorithm.on_policy, env=env, config=config, debug_summaries=debug_summaries, name=name, **agent_helper.state_specs()) for alg in (representation_learner, goal_generator, intrinsic_reward_module, entropy_target_algorithm, reward_weight_algorithm): if alg is not None: alg.set_on_policy(self.on_policy) self._representation_learner = representation_learner self._rl_algorithm = rl_algorithm self._reward_weight_algorithm = reward_weight_algorithm self._entropy_target_algorithm = entropy_target_algorithm self._intrinsic_reward_coef = intrinsic_reward_coef self._extrinsic_reward_coef = extrinsic_reward_coef self._irm = intrinsic_reward_module self._goal_generator = goal_generator self._agent_helper = agent_helper # Set ``use_rollout_state``` for all submodules using the setter. # Need to make sure that no submodules use ``self._use_rollout_state`` # before this line. self.use_rollout_state = self.use_rollout_state def set_path(self, path): super().set_path(path) self._agent_helper.set_path(path) def predict_step(self, time_step: TimeStep, state: AgentState): """Predict for one step.""" new_state = AgentState() observation = time_step.observation info = AgentInfo() if self._representation_learner is not None: repr_step = self._representation_learner.predict_step( time_step, state.repr) new_state = new_state._replace(repr=repr_step.state) info = info._replace(repr=repr_step.info) observation = repr_step.output if self._goal_generator is not None: goal_step = self._goal_generator.predict_step( time_step._replace(observation=observation), state.goal_generator) goal, goal_reward = goal_step.output new_state = new_state._replace(goal_generator=goal_step.state) info = info._replace(goal_generator=goal_step.info) observation = [observation, goal] rl_step = self._rl_algorithm.predict_step( time_step._replace(observation=observation), state.rl) new_state = new_state._replace(rl=rl_step.state) info = info._replace(rl=rl_step.info) return AlgStep(output=rl_step.output, state=new_state, info=info) def rollout_step(self, time_step: TimeStep, state: AgentState): """Rollout for one step.""" new_state = AgentState() info = AgentInfo() observation = time_step.observation if self._representation_learner is not None: repr_step = self._representation_learner.rollout_step( time_step, state.repr) new_state = new_state._replace(repr=repr_step.state) info = info._replace(repr=repr_step.info) observation = repr_step.output rewards = {} if self._goal_generator is not None: goal_step = self._goal_generator.rollout_step( time_step._replace(observation=observation), state.goal_generator) new_state = new_state._replace(goal_generator=goal_step.state) info = info._replace(goal_generator=goal_step.info) goal, goal_reward = goal_step.output observation = [observation, goal] if goal_reward != (): rewards['goal_generator'] = goal_reward if self._irm is not None: irm_step = self._irm.rollout_step( time_step._replace(observation=observation), state=state.irm) info = info._replace(irm=irm_step.info) new_state = new_state._replace(irm=irm_step.state) rewards['irm'] = irm_step.output if rewards: info = info._replace(rewards=rewards) overall_reward = self._calc_overall_reward(time_step.reward, rewards) else: overall_reward = time_step.reward rl_time_step = time_step._replace( observation=observation, reward=overall_reward) rl_step = self._rl_algorithm.rollout_step(rl_time_step, state.rl) new_state = new_state._replace(rl=rl_step.state) info = info._replace(rl=rl_step.info) if self._entropy_target_algorithm: assert 'action_distribution' in rl_step.info._fields, ( "AlgStep from rl_algorithm.rollout() does not contain " "`action_distribution`, which is required by " "`enforce_entropy_target`") et_step = self._entropy_target_algorithm.rollout_step( (rl_step.info.action_distribution, time_step.step_type)) info = info._replace(entropy_target=et_step.info) if self._reward_weight_algorithm: rw_step = self._reward_weight_algorithm.rollout_step( time_step, state.rw) info = info._replace(rw=rw_step.info) return AlgStep(output=rl_step.output, state=new_state, info=info) def train_step(self, time_step: TimeStep, state, rollout_info): new_state = AgentState() info = AgentInfo(rewards=rollout_info.rewards) observation = time_step.observation if self._representation_learner is not None: repr_step = self._representation_learner.train_step( time_step, state.repr, rollout_info.repr) new_state = new_state._replace(repr=repr_step.state) info = info._replace(repr=repr_step.info) observation = repr_step.output if self._goal_generator is not None: goal_step = self._goal_generator.train_step( time_step._replace(observation=observation), state.goal_generator, rollout_info.goal_generator) goal, goal_reward = goal_step.output info = info._replace(goal_generator=goal_step.info) new_state = new_state._replace(goal_generator=goal_step.state) observation = [observation, goal] if self._irm is not None: irm_step = self._irm.train_step( time_step._replace(observation=observation), state=state.irm) info = info._replace(irm=irm_step.info) new_state = new_state._replace(irm=irm_step.state) rl_step = self._rl_algorithm.train_step( time_step._replace(observation=observation), state.rl, rollout_info.rl) new_state = new_state._replace(rl=rl_step.state) info = info._replace(rl=rl_step.info) if self._entropy_target_algorithm: assert 'action_distribution' in rl_step.info._fields, ( "PolicyStep from rl_algorithm.train_step() does not contain " "`action_distribution`, which is required by " "`enforce_entropy_target`") et_step = self._entropy_target_algorithm.train_step( (rl_step.info.action_distribution, time_step.step_type)) info = info._replace(entropy_target=et_step.info) return AlgStep(output=rl_step.output, state=new_state, info=info) def _calc_overall_reward(self, extrinsic_reward, intrinsic_rewards): overall_reward = extrinsic_reward if self._extrinsic_reward_coef != 1: overall_reward *= self._extrinsic_reward_coef if 'irm' in intrinsic_rewards: overall_reward += self._intrinsic_reward_coef * intrinsic_rewards[ 'irm'] if 'goal_generator' in intrinsic_rewards: overall_reward += intrinsic_rewards['goal_generator'] return overall_reward def calc_loss(self, info: AgentInfo): """Calculate loss.""" if info.rewards != (): for name, reward in info.rewards.items(): self.summarize_reward("reward/%s" % name, reward) algorithms = [ self._representation_learner, self._rl_algorithm, self._irm, self._goal_generator, self._entropy_target_algorithm ] algorithms = list(filter(lambda a: a is not None, algorithms)) return self._agent_helper.accumulate_loss_info(algorithms, info) def after_update(self, experience, train_info: AgentInfo): """Call ``after_update()`` of the RL algorithm and goal generator, respectively. """ algorithms = [ self._rl_algorithm, self._representation_learner, self._goal_generator ] algorithms = list(filter(lambda a: a is not None, algorithms)) self._agent_helper.after_update(algorithms, experience, train_info) def after_train_iter(self, experience, info: AgentInfo): """Call ``after_train_iter()`` of the RL algorithm and goal generator, respectively. """ algorithms = [ self._rl_algorithm, self._representation_learner, self._goal_generator, self._reward_weight_algorithm ] algorithms = list(filter(lambda a: a is not None, algorithms)) self._agent_helper.after_train_iter(algorithms, experience, info) if self._reward_weight_algorithm: self._rl_algorithm.set_reward_weights( self._reward_weight_algorithm.reward_weights) def preprocess_experience(self, root_inputs, rollout_info, batch_info): """Add intrinsic rewards to extrinsic rewards if there is an intrinsic reward module. Also call ``preprocess_experience()`` of the rl algorithm. """ exp = root_inputs rewards = rollout_info.rewards if rewards != (): rewards = copy.copy(rewards) rewards['overall'] = self._calc_overall_reward( root_inputs.reward, rewards) exp = exp._replace(reward=rewards['overall']) if self._representation_learner: exp, repr_info = self._representation_learner.preprocess_experience( exp, rollout_info.repr, batch_info) rollout_info = rollout_info._replace(repr=repr_info) exp, rl_info = self._rl_algorithm.preprocess_experience( exp, rollout_info.rl, batch_info) return exp, rollout_info._replace(rl=rl_info) def summarize_rollout(self, experience): """First call ``RLAlgorithm.summarize_rollout()`` to summarize basic rollout statisics. If the rl algorithm has overridden this function, then also call its customized version. """ super(Agent, self).summarize_rollout(experience) if (super(Agent, self).summarize_rollout.__func__ != self._rl_algorithm.summarize_rollout.__func__): self._rl_algorithm.summarize_rollout( experience._replace(rollout_info=experience.rollout_info.rl))

45.853147

91

0.651467

import copy from typing import Callable import alf from alf.algorithms.actor_critic_algorithm import ActorCriticAlgorithm from alf.algorithms.agent_helpers import AgentHelper from alf.algorithms.config import TrainerConfig from alf.algorithms.entropy_target_algorithm import ( EntropyTargetAlgorithm, NestedEntropyTargetAlgorithm) from alf.algorithms.icm_algorithm import ICMAlgorithm from alf.algorithms.mbrl_algorithm import LatentMbrlAlgorithm from alf.algorithms.predictive_representation_learner import \ PredictiveRepresentationLearner from alf.algorithms.rl_algorithm import RLAlgorithm from alf.data_structures import AlgStep, Experience from alf.data_structures import TimeStep, namedtuple from alf.tensor_specs import TensorSpec AgentState = namedtuple( "AgentState", ["rl", "irm", "goal_generator", "repr", "rw"], default_value=()) AgentInfo = namedtuple( "AgentInfo", ["rl", "irm", "goal_generator", "entropy_target", "repr", "rw", "rewards"], default_value=()) @alf.configurable class Agent(RLAlgorithm): def __init__(self, observation_spec, action_spec, reward_spec=TensorSpec(()), env=None, config: TrainerConfig = None, rl_algorithm_cls=ActorCriticAlgorithm, reward_weight_algorithm_cls=None, representation_learner_cls=None, goal_generator=None, intrinsic_reward_module=None, intrinsic_reward_coef=1.0, extrinsic_reward_coef=1.0, enforce_entropy_target=False, entropy_target_cls=None, optimizer=None, debug_summaries=False, name="AgentAlgorithm"): agent_helper = AgentHelper(AgentState) rl_observation_spec = observation_spec rner = None if representation_learner_cls is not None: representation_learner = representation_learner_cls( observation_spec=rl_observation_spec, action_spec=action_spec, debug_summaries=debug_summaries) rl_observation_spec = representation_learner.output_spec agent_helper.register_algorithm(representation_learner, "repr") nerator is not None: agent_helper.register_algorithm(goal_generator, "goal_generator") rl_observation_spec = [ rl_observation_spec, goal_generator.action_spec ] ithm = rl_algorithm_cls( observation_spec=rl_observation_spec, action_spec=action_spec, reward_spec=reward_spec, debug_summaries=debug_summaries) agent_helper.register_algorithm(rl_algorithm, "rl") if isinstance(rl_algorithm, LatentMbrlAlgorithm): assert isinstance(representation_learner, PredictiveRepresentationLearner), ( "need to use " "PredictiveRepresentationLearner") rl_algorithm.set_latent_predictive_representation_module( representation_learner) ule is not None: agent_helper.register_algorithm(intrinsic_reward_module, "irm") rget_algorithm = None if entropy_target_cls or enforce_entropy_target: if entropy_target_cls is None: if alf.nest.is_nested(action_spec): entropy_target_cls = NestedEntropyTargetAlgorithm else: entropy_target_cls = EntropyTargetAlgorithm entropy_target_algorithm = entropy_target_cls( action_spec, debug_summaries=debug_summaries) agent_helper.register_algorithm(entropy_target_algorithm, "entropy_target") reward_weight_algorithm = None if reward_weight_algorithm_cls is not None: reward_weight_algorithm = reward_weight_algorithm_cls( reward_spec=reward_spec, debug_summaries=debug_summaries) agent_helper.register_algorithm(reward_weight_algorithm, "rw") rl_algorithm.set_reward_weights( reward_weight_algorithm.reward_weights) super().__init__( observation_spec=observation_spec, action_spec=action_spec, reward_spec=reward_spec, optimizer=optimizer, is_on_policy=rl_algorithm.on_policy, env=env, config=config, debug_summaries=debug_summaries, name=name, **agent_helper.state_specs()) for alg in (representation_learner, goal_generator, intrinsic_reward_module, entropy_target_algorithm, reward_weight_algorithm): if alg is not None: alg.set_on_policy(self.on_policy) self._representation_learner = representation_learner self._rl_algorithm = rl_algorithm self._reward_weight_algorithm = reward_weight_algorithm self._entropy_target_algorithm = entropy_target_algorithm self._intrinsic_reward_coef = intrinsic_reward_coef self._extrinsic_reward_coef = extrinsic_reward_coef self._irm = intrinsic_reward_module self._goal_generator = goal_generator self._agent_helper = agent_helper self.use_rollout_state = self.use_rollout_state def set_path(self, path): super().set_path(path) self._agent_helper.set_path(path) def predict_step(self, time_step: TimeStep, state: AgentState): new_state = AgentState() observation = time_step.observation info = AgentInfo() if self._representation_learner is not None: repr_step = self._representation_learner.predict_step( time_step, state.repr) new_state = new_state._replace(repr=repr_step.state) info = info._replace(repr=repr_step.info) observation = repr_step.output if self._goal_generator is not None: goal_step = self._goal_generator.predict_step( time_step._replace(observation=observation), state.goal_generator) goal, goal_reward = goal_step.output new_state = new_state._replace(goal_generator=goal_step.state) info = info._replace(goal_generator=goal_step.info) observation = [observation, goal] rl_step = self._rl_algorithm.predict_step( time_step._replace(observation=observation), state.rl) new_state = new_state._replace(rl=rl_step.state) info = info._replace(rl=rl_step.info) return AlgStep(output=rl_step.output, state=new_state, info=info) def rollout_step(self, time_step: TimeStep, state: AgentState): new_state = AgentState() info = AgentInfo() observation = time_step.observation if self._representation_learner is not None: repr_step = self._representation_learner.rollout_step( time_step, state.repr) new_state = new_state._replace(repr=repr_step.state) info = info._replace(repr=repr_step.info) observation = repr_step.output rewards = {} if self._goal_generator is not None: goal_step = self._goal_generator.rollout_step( time_step._replace(observation=observation), state.goal_generator) new_state = new_state._replace(goal_generator=goal_step.state) info = info._replace(goal_generator=goal_step.info) goal, goal_reward = goal_step.output observation = [observation, goal] if goal_reward != (): rewards['goal_generator'] = goal_reward if self._irm is not None: irm_step = self._irm.rollout_step( time_step._replace(observation=observation), state=state.irm) info = info._replace(irm=irm_step.info) new_state = new_state._replace(irm=irm_step.state) rewards['irm'] = irm_step.output if rewards: info = info._replace(rewards=rewards) overall_reward = self._calc_overall_reward(time_step.reward, rewards) else: overall_reward = time_step.reward rl_time_step = time_step._replace( observation=observation, reward=overall_reward) rl_step = self._rl_algorithm.rollout_step(rl_time_step, state.rl) new_state = new_state._replace(rl=rl_step.state) info = info._replace(rl=rl_step.info) if self._entropy_target_algorithm: assert 'action_distribution' in rl_step.info._fields, ( "AlgStep from rl_algorithm.rollout() does not contain " "`action_distribution`, which is required by " "`enforce_entropy_target`") et_step = self._entropy_target_algorithm.rollout_step( (rl_step.info.action_distribution, time_step.step_type)) info = info._replace(entropy_target=et_step.info) if self._reward_weight_algorithm: rw_step = self._reward_weight_algorithm.rollout_step( time_step, state.rw) info = info._replace(rw=rw_step.info) return AlgStep(output=rl_step.output, state=new_state, info=info) def train_step(self, time_step: TimeStep, state, rollout_info): new_state = AgentState() info = AgentInfo(rewards=rollout_info.rewards) observation = time_step.observation if self._representation_learner is not None: repr_step = self._representation_learner.train_step( time_step, state.repr, rollout_info.repr) new_state = new_state._replace(repr=repr_step.state) info = info._replace(repr=repr_step.info) observation = repr_step.output if self._goal_generator is not None: goal_step = self._goal_generator.train_step( time_step._replace(observation=observation), state.goal_generator, rollout_info.goal_generator) goal, goal_reward = goal_step.output info = info._replace(goal_generator=goal_step.info) new_state = new_state._replace(goal_generator=goal_step.state) observation = [observation, goal] if self._irm is not None: irm_step = self._irm.train_step( time_step._replace(observation=observation), state=state.irm) info = info._replace(irm=irm_step.info) new_state = new_state._replace(irm=irm_step.state) rl_step = self._rl_algorithm.train_step( time_step._replace(observation=observation), state.rl, rollout_info.rl) new_state = new_state._replace(rl=rl_step.state) info = info._replace(rl=rl_step.info) if self._entropy_target_algorithm: assert 'action_distribution' in rl_step.info._fields, ( "PolicyStep from rl_algorithm.train_step() does not contain " "`action_distribution`, which is required by " "`enforce_entropy_target`") et_step = self._entropy_target_algorithm.train_step( (rl_step.info.action_distribution, time_step.step_type)) info = info._replace(entropy_target=et_step.info) return AlgStep(output=rl_step.output, state=new_state, info=info) def _calc_overall_reward(self, extrinsic_reward, intrinsic_rewards): overall_reward = extrinsic_reward if self._extrinsic_reward_coef != 1: overall_reward *= self._extrinsic_reward_coef if 'irm' in intrinsic_rewards: overall_reward += self._intrinsic_reward_coef * intrinsic_rewards[ 'irm'] if 'goal_generator' in intrinsic_rewards: overall_reward += intrinsic_rewards['goal_generator'] return overall_reward def calc_loss(self, info: AgentInfo): if info.rewards != (): for name, reward in info.rewards.items(): self.summarize_reward("reward/%s" % name, reward) algorithms = [ self._representation_learner, self._rl_algorithm, self._irm, self._goal_generator, self._entropy_target_algorithm ] algorithms = list(filter(lambda a: a is not None, algorithms)) return self._agent_helper.accumulate_loss_info(algorithms, info) def after_update(self, experience, train_info: AgentInfo): algorithms = [ self._rl_algorithm, self._representation_learner, self._goal_generator ] algorithms = list(filter(lambda a: a is not None, algorithms)) self._agent_helper.after_update(algorithms, experience, train_info) def after_train_iter(self, experience, info: AgentInfo): algorithms = [ self._rl_algorithm, self._representation_learner, self._goal_generator, self._reward_weight_algorithm ] algorithms = list(filter(lambda a: a is not None, algorithms)) self._agent_helper.after_train_iter(algorithms, experience, info) if self._reward_weight_algorithm: self._rl_algorithm.set_reward_weights( self._reward_weight_algorithm.reward_weights) def preprocess_experience(self, root_inputs, rollout_info, batch_info): exp = root_inputs rewards = rollout_info.rewards if rewards != (): rewards = copy.copy(rewards) rewards['overall'] = self._calc_overall_reward( root_inputs.reward, rewards) exp = exp._replace(reward=rewards['overall']) if self._representation_learner: exp, repr_info = self._representation_learner.preprocess_experience( exp, rollout_info.repr, batch_info) rollout_info = rollout_info._replace(repr=repr_info) exp, rl_info = self._rl_algorithm.preprocess_experience( exp, rollout_info.rl, batch_info) return exp, rollout_info._replace(rl=rl_info) def summarize_rollout(self, experience): super(Agent, self).summarize_rollout(experience) if (super(Agent, self).summarize_rollout.__func__ != self._rl_algorithm.summarize_rollout.__func__): self._rl_algorithm.summarize_rollout( experience._replace(rollout_info=experience.rollout_info.rl))

true

f7f50a6af1a7b21349205ad2a4f263668a442225

3,651

py

Python

segment tree 1/4D.py

iammanish17/CodeforcesEdu

961543b332c773010320bd0b2e9d4a4b1c8dc0ea

[ "MIT" ]

6

2020-09-14T19:16:23.000Z

2021-12-10T19:07:51.000Z

segment tree 1/4D.py

iammanish17/CodeforcesEdu

961543b332c773010320bd0b2e9d4a4b1c8dc0ea

[ "MIT" ]

null

segment tree 1/4D.py

iammanish17/CodeforcesEdu

961543b332c773010320bd0b2e9d4a4b1c8dc0ea

[ "MIT" ]

1

2021-08-12T19:37:22.000Z

# By manish.17, contest: ITMO Academy. Дерево отрезков часть 1. 4, problem: (D) Number of Different on Segment # https://codeforces.com/profile/manish.17 # ------------------- fast io -------------------- import os import sys from io import BytesIO, IOBase BUFSIZE = 8192 class FastIO(IOBase): newlines = 0 def __init__(self, file): self._fd = file.fileno() self.buffer = BytesIO() self.writable = "x" in file.mode or "r" not in file.mode self.write = self.buffer.write if self.writable else None def read(self): while True: b = os.read(self._fd, max(os.fstat(self._fd).st_size, BUFSIZE)) if not b: break ptr = self.buffer.tell() self.buffer.seek(0, 2), self.buffer.write(b), self.buffer.seek(ptr) self.newlines = 0 return self.buffer.read() def readline(self): while self.newlines == 0: b = os.read(self._fd, max(os.fstat(self._fd).st_size, BUFSIZE)) self.newlines = b.count(b"\n") + (not b) ptr = self.buffer.tell() self.buffer.seek(0, 2), self.buffer.write(b), self.buffer.seek(ptr) self.newlines -= 1 return self.buffer.readline() def flush(self): if self.writable: os.write(self._fd, self.buffer.getvalue()) self.buffer.truncate(0), self.buffer.seek(0) class IOWrapper(IOBase): def __init__(self, file): self.buffer = FastIO(file) self.flush = self.buffer.flush self.writable = self.buffer.writable self.write = lambda s: self.buffer.write(s.encode("ascii")) self.read = lambda: self.buffer.read().decode("ascii") self.readline = lambda: self.buffer.readline().decode("ascii") sys.stdin, sys.stdout = IOWrapper(sys.stdin), IOWrapper(sys.stdout) input = lambda: sys.stdin.readline().rstrip("\r\n") # ------------------- fast io -------------------- from math import inf, log2 class SegmentTree: def __init__(self, array): self.n = len(array) self.size = 2**(int(log2(self.n-1))+1) if self.n != 1 else 1 self.data = [set() for _ in range(2 * self.size)] self.process(array) def process(self, array): for i in range(n): self.data[self.size + i] = set() self.data[self.size + i].add(array[i]) for i in range(self.size-1, -1, -1): self.data[i] = set.union(self.data[2*i], self.data[2*i+1]) def query(self, alpha, omega): """Returns the result of function over the range (inclusive)!""" if alpha == omega: return len(self.data[alpha + self.size]) res = set() alpha += self.size omega += self.size + 1 while alpha < omega: if alpha & 1: res = set.union(res,self.data[alpha]) alpha += 1 if omega & 1: omega -= 1 res = set.union(res, self.data[omega]) alpha >>= 1 omega >>= 1 return len(res) def update(self, index, value): """Updates the element at index to given value!""" index += self.size self.data[index] = set() self.data[index].add(value) index >>= 1 while index: self.data[index] = set.union(self.data[2*index], self.data[2*index+1]) index >>= 1 n, q = map(int, input().split()) a = list(map(int, input().split())) st = SegmentTree(a) for _ in range(q): t, x, y = map(int, input().split()) if t == 1: print(st.query(x-1, y-1)) else: st.update(x-1, y)

32.026316

110

0.548069

import os import sys from io import BytesIO, IOBase BUFSIZE = 8192 class FastIO(IOBase): newlines = 0 def __init__(self, file): self._fd = file.fileno() self.buffer = BytesIO() self.writable = "x" in file.mode or "r" not in file.mode self.write = self.buffer.write if self.writable else None def read(self): while True: b = os.read(self._fd, max(os.fstat(self._fd).st_size, BUFSIZE)) if not b: break ptr = self.buffer.tell() self.buffer.seek(0, 2), self.buffer.write(b), self.buffer.seek(ptr) self.newlines = 0 return self.buffer.read() def readline(self): while self.newlines == 0: b = os.read(self._fd, max(os.fstat(self._fd).st_size, BUFSIZE)) self.newlines = b.count(b"\n") + (not b) ptr = self.buffer.tell() self.buffer.seek(0, 2), self.buffer.write(b), self.buffer.seek(ptr) self.newlines -= 1 return self.buffer.readline() def flush(self): if self.writable: os.write(self._fd, self.buffer.getvalue()) self.buffer.truncate(0), self.buffer.seek(0) class IOWrapper(IOBase): def __init__(self, file): self.buffer = FastIO(file) self.flush = self.buffer.flush self.writable = self.buffer.writable self.write = lambda s: self.buffer.write(s.encode("ascii")) self.read = lambda: self.buffer.read().decode("ascii") self.readline = lambda: self.buffer.readline().decode("ascii") sys.stdin, sys.stdout = IOWrapper(sys.stdin), IOWrapper(sys.stdout) input = lambda: sys.stdin.readline().rstrip("\r\n") from math import inf, log2 class SegmentTree: def __init__(self, array): self.n = len(array) self.size = 2**(int(log2(self.n-1))+1) if self.n != 1 else 1 self.data = [set() for _ in range(2 * self.size)] self.process(array) def process(self, array): for i in range(n): self.data[self.size + i] = set() self.data[self.size + i].add(array[i]) for i in range(self.size-1, -1, -1): self.data[i] = set.union(self.data[2*i], self.data[2*i+1]) def query(self, alpha, omega): if alpha == omega: return len(self.data[alpha + self.size]) res = set() alpha += self.size omega += self.size + 1 while alpha < omega: if alpha & 1: res = set.union(res,self.data[alpha]) alpha += 1 if omega & 1: omega -= 1 res = set.union(res, self.data[omega]) alpha >>= 1 omega >>= 1 return len(res) def update(self, index, value): index += self.size self.data[index] = set() self.data[index].add(value) index >>= 1 while index: self.data[index] = set.union(self.data[2*index], self.data[2*index+1]) index >>= 1 n, q = map(int, input().split()) a = list(map(int, input().split())) st = SegmentTree(a) for _ in range(q): t, x, y = map(int, input().split()) if t == 1: print(st.query(x-1, y-1)) else: st.update(x-1, y)

true

f7f50ac99edae4e90f2a335ae97c0574b8cc2a39

723

py

Python

nsm/word_embeddings.py

MartinoMensio/neural-symbolic-machines

10683b8d7e0a97c2f6f35206deb5d3a31f4796c4

[ "Apache-2.0" ]

354

2018-07-05T22:18:58.000Z

2022-03-25T08:07:26.000Z

nsm/word_embeddings.py

MartinoMensio/neural-symbolic-machines

10683b8d7e0a97c2f6f35206deb5d3a31f4796c4

[ "Apache-2.0" ]

33

2018-07-19T15:05:57.000Z

2022-02-09T23:29:30.000Z

nsm/word_embeddings.py

MartinoMensio/neural-symbolic-machines

10683b8d7e0a97c2f6f35206deb5d3a31f4796c4

[ "Apache-2.0" ]

70

2018-07-08T20:19:52.000Z

2022-01-24T15:04:33.000Z

import json import numpy as np import gensim class EmbeddingModel(object): def __init__( self, vocab_file, embedding_file, normalize_embeddings=True): with open(embedding_file, 'rb') as f: self.embedding_mat = np.load(f) if normalize_embeddings: self.embedding_mat = self.embedding_mat / np.linalg.norm( self.embedding_mat, axis=1, keepdims=True) with open(vocab_file, 'r') as f: tks = json.load(f) self.vocab = dict(zip(tks, range(len(tks)))) def __contains__(self, word): return word in self.vocab def __getitem__(self, word): if word in self.vocab: index = self.vocab[word] return self.embedding_mat[index] else: raise KeyError

26.777778

67

0.674965

import json import numpy as np import gensim class EmbeddingModel(object): def __init__( self, vocab_file, embedding_file, normalize_embeddings=True): with open(embedding_file, 'rb') as f: self.embedding_mat = np.load(f) if normalize_embeddings: self.embedding_mat = self.embedding_mat / np.linalg.norm( self.embedding_mat, axis=1, keepdims=True) with open(vocab_file, 'r') as f: tks = json.load(f) self.vocab = dict(zip(tks, range(len(tks)))) def __contains__(self, word): return word in self.vocab def __getitem__(self, word): if word in self.vocab: index = self.vocab[word] return self.embedding_mat[index] else: raise KeyError

true

f7f50ad4dcac198f7d201ed593a03e7d9b1e1c4d

2,840

py

Python

cyborg/common/constants.py

GuojianZhou/cyborg

05c2d5d7b3ba6893b0e68d1591089019aea2d2fd

[ "Apache-2.0" ]

1

2021-06-01T08:50:39.000Z

cyborg/common/constants.py

GuojianZhou/cyborg

05c2d5d7b3ba6893b0e68d1591089019aea2d2fd

[ "Apache-2.0" ]

null

cyborg/common/constants.py

GuojianZhou/cyborg

05c2d5d7b3ba6893b0e68d1591089019aea2d2fd

[ "Apache-2.0" ]

null

# Copyright 2017 Huawei Technologies Co.,LTD. # 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 required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. import os_resource_classes as orc CONDUCTOR_TOPIC = 'cyborg-conductor' AGENT_TOPIC = 'cyborg-agent' DEVICE_GPU = 'GPU' DEVICE_FPGA = 'FPGA' DEVICE_AICHIP = 'AICHIP' DEVICE_VMLU = 'MLU' ARQ_STATES = (ARQ_INITIAL, ARQ_BIND_STARTED, ARQ_BOUND, ARQ_UNBOUND, ARQ_BIND_FAILED, ARQ_DELETING) = ( 'Initial', 'BindStarted', 'Bound', 'Unbound', 'BindFailed', 'Deleting') ARQ_BIND_STAGE = (ARQ_PRE_BIND, ARQ_FINISH_BIND, ARQ_OUFOF_BIND_FLOW) = ( [ARQ_INITIAL, ARQ_BIND_STARTED], [ARQ_BOUND, ARQ_BIND_FAILED], [ARQ_UNBOUND, ARQ_DELETING]) ARQ_BIND_STATUS = (ARQ_BIND_STATUS_FINISH, ARQ_BIND_STATUS_FAILED) = ( "completed", "failed") ARQ_BIND_STATES_STATUS_MAP = { ARQ_BOUND: ARQ_BIND_STATUS_FINISH, ARQ_BIND_FAILED: ARQ_BIND_STATUS_FAILED, ARQ_DELETING: ARQ_BIND_STATUS_FAILED } # TODO(Shaohe): maybe we can use oslo automaton lib # ref: https://docs.openstack.org/automaton/latest/user/examples.html # The states in value list can transfrom to the key state ARQ_STATES_TRANSFORM_MATRIX = { ARQ_INITIAL: [], ARQ_BIND_STARTED: [ARQ_INITIAL, ARQ_UNBOUND], ARQ_BOUND: [ARQ_BIND_STARTED], ARQ_UNBOUND: [ARQ_INITIAL, ARQ_BIND_STARTED, ARQ_BOUND, ARQ_BIND_FAILED], ARQ_BIND_FAILED: [ARQ_BIND_STARTED, ARQ_BOUND], ARQ_DELETING: [ARQ_INITIAL, ARQ_BIND_STARTED, ARQ_BOUND, ARQ_UNBOUND, ARQ_BIND_FAILED] } # Device type DEVICE_TYPE = (DEVICE_GPU, DEVICE_FPGA, DEVICE_AICHIP, DEVICE_VMLU) # Attach handle type # 'TEST_PCI': used by fake driver, ignored by Nova virt driver. ATTACH_HANDLE_TYPES = (AH_TYPE_PCI, AH_TYPE_MDEV, AH_TYPE_TEST_PCI) = ( "PCI", "MDEV", "TEST_PCI") # Control Path ID type CPID_TYPE = (CPID_TYPE_PCI) = ("PCI") # Resource Class RESOURCES = { "FPGA": orc.FPGA, "PGPU": orc.PGPU, "VGPU": orc.VGPU, "VMLU": orc.VMLU } ACCEL_SPECS = ( ACCEL_BITSTREAM_ID, ACCEL_FUNCTION_ID ) = ( "accel:bitstream_id", "accel:function_id" ) SUPPORT_RESOURCES = ( FPGA, GPU, VGPU, PGPU, VMLU) = ( "FPGA", "GPU", "VGPU", "PGPU", "VMLU" ) FPGA_TRAITS = ( FPGA_FUNCTION_ID, ) = ( "CUSTOM_FPGA_FUNCTION_ID", ) RESOURCES_PREFIX = "resources:"

26.792453

78

0.709507

import os_resource_classes as orc CONDUCTOR_TOPIC = 'cyborg-conductor' AGENT_TOPIC = 'cyborg-agent' DEVICE_GPU = 'GPU' DEVICE_FPGA = 'FPGA' DEVICE_AICHIP = 'AICHIP' DEVICE_VMLU = 'MLU' ARQ_STATES = (ARQ_INITIAL, ARQ_BIND_STARTED, ARQ_BOUND, ARQ_UNBOUND, ARQ_BIND_FAILED, ARQ_DELETING) = ( 'Initial', 'BindStarted', 'Bound', 'Unbound', 'BindFailed', 'Deleting') ARQ_BIND_STAGE = (ARQ_PRE_BIND, ARQ_FINISH_BIND, ARQ_OUFOF_BIND_FLOW) = ( [ARQ_INITIAL, ARQ_BIND_STARTED], [ARQ_BOUND, ARQ_BIND_FAILED], [ARQ_UNBOUND, ARQ_DELETING]) ARQ_BIND_STATUS = (ARQ_BIND_STATUS_FINISH, ARQ_BIND_STATUS_FAILED) = ( "completed", "failed") ARQ_BIND_STATES_STATUS_MAP = { ARQ_BOUND: ARQ_BIND_STATUS_FINISH, ARQ_BIND_FAILED: ARQ_BIND_STATUS_FAILED, ARQ_DELETING: ARQ_BIND_STATUS_FAILED } ARQ_STATES_TRANSFORM_MATRIX = { ARQ_INITIAL: [], ARQ_BIND_STARTED: [ARQ_INITIAL, ARQ_UNBOUND], ARQ_BOUND: [ARQ_BIND_STARTED], ARQ_UNBOUND: [ARQ_INITIAL, ARQ_BIND_STARTED, ARQ_BOUND, ARQ_BIND_FAILED], ARQ_BIND_FAILED: [ARQ_BIND_STARTED, ARQ_BOUND], ARQ_DELETING: [ARQ_INITIAL, ARQ_BIND_STARTED, ARQ_BOUND, ARQ_UNBOUND, ARQ_BIND_FAILED] } DEVICE_TYPE = (DEVICE_GPU, DEVICE_FPGA, DEVICE_AICHIP, DEVICE_VMLU) ATTACH_HANDLE_TYPES = (AH_TYPE_PCI, AH_TYPE_MDEV, AH_TYPE_TEST_PCI) = ( "PCI", "MDEV", "TEST_PCI") CPID_TYPE = (CPID_TYPE_PCI) = ("PCI") RESOURCES = { "FPGA": orc.FPGA, "PGPU": orc.PGPU, "VGPU": orc.VGPU, "VMLU": orc.VMLU } ACCEL_SPECS = ( ACCEL_BITSTREAM_ID, ACCEL_FUNCTION_ID ) = ( "accel:bitstream_id", "accel:function_id" ) SUPPORT_RESOURCES = ( FPGA, GPU, VGPU, PGPU, VMLU) = ( "FPGA", "GPU", "VGPU", "PGPU", "VMLU" ) FPGA_TRAITS = ( FPGA_FUNCTION_ID, ) = ( "CUSTOM_FPGA_FUNCTION_ID", ) RESOURCES_PREFIX = "resources:"

true

f7f50aed59175a461b99066303f05fa39de16436

3,212

py

Python

sdk/python/pulumi_aws_native/location/get_tracker.py

pulumi/pulumi-aws-native

1ae4a4d9c2256b2a79ca536f8d8497b28d10e4c3

[ "Apache-2.0" ]

29

2021-09-30T19:32:07.000Z

2022-03-22T21:06:08.000Z

sdk/python/pulumi_aws_native/location/get_tracker.py

pulumi/pulumi-aws-native

1ae4a4d9c2256b2a79ca536f8d8497b28d10e4c3

[ "Apache-2.0" ]

232

2021-09-30T19:26:26.000Z

2022-03-31T23:22:06.000Z

sdk/python/pulumi_aws_native/location/get_tracker.py

pulumi/pulumi-aws-native

1ae4a4d9c2256b2a79ca536f8d8497b28d10e4c3

[ "Apache-2.0" ]

4

2021-11-10T19:42:01.000Z

2022-02-05T10:15:49.000Z

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi SDK Generator. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from .. import _utilities __all__ = [ 'GetTrackerResult', 'AwaitableGetTrackerResult', 'get_tracker', 'get_tracker_output', ] @pulumi.output_type class GetTrackerResult: def __init__(__self__, arn=None, create_time=None, tracker_arn=None, update_time=None): if arn and not isinstance(arn, str): raise TypeError("Expected argument 'arn' to be a str") pulumi.set(__self__, "arn", arn) if create_time and not isinstance(create_time, str): raise TypeError("Expected argument 'create_time' to be a str") pulumi.set(__self__, "create_time", create_time) if tracker_arn and not isinstance(tracker_arn, str): raise TypeError("Expected argument 'tracker_arn' to be a str") pulumi.set(__self__, "tracker_arn", tracker_arn) if update_time and not isinstance(update_time, str): raise TypeError("Expected argument 'update_time' to be a str") pulumi.set(__self__, "update_time", update_time) @property @pulumi.getter def arn(self) -> Optional[str]: return pulumi.get(self, "arn") @property @pulumi.getter(name="createTime") def create_time(self) -> Optional[str]: return pulumi.get(self, "create_time") @property @pulumi.getter(name="trackerArn") def tracker_arn(self) -> Optional[str]: return pulumi.get(self, "tracker_arn") @property @pulumi.getter(name="updateTime") def update_time(self) -> Optional[str]: return pulumi.get(self, "update_time") class AwaitableGetTrackerResult(GetTrackerResult): # pylint: disable=using-constant-test def __await__(self): if False: yield self return GetTrackerResult( arn=self.arn, create_time=self.create_time, tracker_arn=self.tracker_arn, update_time=self.update_time) def get_tracker(tracker_name: Optional[str] = None, opts: Optional[pulumi.InvokeOptions] = None) -> AwaitableGetTrackerResult: """ Definition of AWS::Location::Tracker Resource Type """ __args__ = dict() __args__['trackerName'] = tracker_name if opts is None: opts = pulumi.InvokeOptions() if opts.version is None: opts.version = _utilities.get_version() __ret__ = pulumi.runtime.invoke('aws-native:location:getTracker', __args__, opts=opts, typ=GetTrackerResult).value return AwaitableGetTrackerResult( arn=__ret__.arn, create_time=__ret__.create_time, tracker_arn=__ret__.tracker_arn, update_time=__ret__.update_time) @_utilities.lift_output_func(get_tracker) def get_tracker_output(tracker_name: Optional[pulumi.Input[str]] = None, opts: Optional[pulumi.InvokeOptions] = None) -> pulumi.Output[GetTrackerResult]: """ Definition of AWS::Location::Tracker Resource Type """ ...

34.170213

118

0.673101

import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from .. import _utilities __all__ = [ 'GetTrackerResult', 'AwaitableGetTrackerResult', 'get_tracker', 'get_tracker_output', ] @pulumi.output_type class GetTrackerResult: def __init__(__self__, arn=None, create_time=None, tracker_arn=None, update_time=None): if arn and not isinstance(arn, str): raise TypeError("Expected argument 'arn' to be a str") pulumi.set(__self__, "arn", arn) if create_time and not isinstance(create_time, str): raise TypeError("Expected argument 'create_time' to be a str") pulumi.set(__self__, "create_time", create_time) if tracker_arn and not isinstance(tracker_arn, str): raise TypeError("Expected argument 'tracker_arn' to be a str") pulumi.set(__self__, "tracker_arn", tracker_arn) if update_time and not isinstance(update_time, str): raise TypeError("Expected argument 'update_time' to be a str") pulumi.set(__self__, "update_time", update_time) @property @pulumi.getter def arn(self) -> Optional[str]: return pulumi.get(self, "arn") @property @pulumi.getter(name="createTime") def create_time(self) -> Optional[str]: return pulumi.get(self, "create_time") @property @pulumi.getter(name="trackerArn") def tracker_arn(self) -> Optional[str]: return pulumi.get(self, "tracker_arn") @property @pulumi.getter(name="updateTime") def update_time(self) -> Optional[str]: return pulumi.get(self, "update_time") class AwaitableGetTrackerResult(GetTrackerResult): # pylint: disable=using-constant-test def __await__(self): if False: yield self return GetTrackerResult( arn=self.arn, create_time=self.create_time, tracker_arn=self.tracker_arn, update_time=self.update_time) def get_tracker(tracker_name: Optional[str] = None, opts: Optional[pulumi.InvokeOptions] = None) -> AwaitableGetTrackerResult: __args__ = dict() __args__['trackerName'] = tracker_name if opts is None: opts = pulumi.InvokeOptions() if opts.version is None: opts.version = _utilities.get_version() __ret__ = pulumi.runtime.invoke('aws-native:location:getTracker', __args__, opts=opts, typ=GetTrackerResult).value return AwaitableGetTrackerResult( arn=__ret__.arn, create_time=__ret__.create_time, tracker_arn=__ret__.tracker_arn, update_time=__ret__.update_time) @_utilities.lift_output_func(get_tracker) def get_tracker_output(tracker_name: Optional[pulumi.Input[str]] = None, opts: Optional[pulumi.InvokeOptions] = None) -> pulumi.Output[GetTrackerResult]: ...

true

f7f50ba0c9ca56486a33bfc84bc094e946f123fc

11,967

py

Python

lib/daemon.py

gertjaap/electrum-vtc

85e3432fdb0c221b93fc3ef4a0d4b96397cf4215

[ "MIT" ]

57

2017-05-30T00:11:19.000Z

2018-02-01T18:30:18.000Z

lib/daemon.py

gertjaap/electrum-vtc

85e3432fdb0c221b93fc3ef4a0d4b96397cf4215

[ "MIT" ]

63

2017-05-13T03:20:47.000Z

2018-02-04T18:07:06.000Z

lib/daemon.py

gertjaap/electrum-vtc

85e3432fdb0c221b93fc3ef4a0d4b96397cf4215

[ "MIT" ]

27

2017-05-11T22:48:37.000Z

2018-02-03T20:24:32.000Z

#!/usr/bin/env python # # Electrum - lightweight Bitcoin client # Copyright (C) 2015 Thomas Voegtlin # # Permission is hereby granted, free of charge, to any person # obtaining a copy of this software and associated documentation files # (the "Software"), to deal in the Software without restriction, # including without limitation the rights to use, copy, modify, merge, # publish, distribute, sublicense, and/or sell copies of the Software, # and to permit persons to whom the Software is furnished to do so, # subject to the following conditions: # # The above copyright notice and this permission notice shall be # included in all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, # EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF # MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND # NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS # BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN # ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN # CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE # SOFTWARE. import ast import os import time import traceback import sys # from jsonrpc import JSONRPCResponseManager import jsonrpclib from .jsonrpc import VerifyingJSONRPCServer from .version import ELECTRUM_VERSION from .network import Network from .util import json_decode, DaemonThread from .util import print_error, to_string from .wallet import Wallet from .storage import WalletStorage from .commands import known_commands, Commands from .simple_config import SimpleConfig from .exchange_rate import FxThread from .plugins import run_hook def get_lockfile(config): return os.path.join(config.path, 'daemon') def remove_lockfile(lockfile): os.unlink(lockfile) def get_fd_or_server(config): '''Tries to create the lockfile, using O_EXCL to prevent races. If it succeeds it returns the FD. Otherwise try and connect to the server specified in the lockfile. If this succeeds, the server is returned. Otherwise remove the lockfile and try again.''' lockfile = get_lockfile(config) while True: try: return os.open(lockfile, os.O_CREAT | os.O_EXCL | os.O_WRONLY, 0o644), None except OSError: pass server = get_server(config) if server is not None: return None, server # Couldn't connect; remove lockfile and try again. remove_lockfile(lockfile) def get_server(config): lockfile = get_lockfile(config) while True: create_time = None try: with open(lockfile) as f: (host, port), create_time = ast.literal_eval(f.read()) rpc_user, rpc_password = get_rpc_credentials(config) if rpc_password == '': # authentication disabled server_url = 'http://%s:%d' % (host, port) else: server_url = 'http://%s:%s@%s:%d' % ( rpc_user, rpc_password, host, port) server = jsonrpclib.Server(server_url) # Test daemon is running server.ping() return server except Exception as e: print_error("[get_server]", e) if not create_time or create_time < time.time() - 1.0: return None # Sleep a bit and try again; it might have just been started time.sleep(1.0) def get_rpc_credentials(config): rpc_user = config.get('rpcuser', None) rpc_password = config.get('rpcpassword', None) if rpc_user is None or rpc_password is None: rpc_user = 'user' import ecdsa, base64 bits = 128 nbytes = bits // 8 + (bits % 8 > 0) pw_int = ecdsa.util.randrange(pow(2, bits)) pw_b64 = base64.b64encode( pw_int.to_bytes(nbytes, 'big'), b'-_') rpc_password = to_string(pw_b64, 'ascii') config.set_key('rpcuser', rpc_user) config.set_key('rpcpassword', rpc_password, save=True) elif rpc_password == '': from .util import print_stderr print_stderr('WARNING: RPC authentication is disabled.') return rpc_user, rpc_password class Daemon(DaemonThread): def __init__(self, config, fd, is_gui): DaemonThread.__init__(self) self.config = config if config.get('offline'): self.network = None else: self.network = Network(config) self.network.start() self.fx = FxThread(config, self.network) if self.network: self.network.add_jobs([self.fx]) self.gui = None self.wallets = {} # Setup JSONRPC server self.init_server(config, fd, is_gui) def init_server(self, config, fd, is_gui): host = config.get('rpchost', '127.0.0.1') port = config.get('rpcport', 0) rpc_user, rpc_password = get_rpc_credentials(config) try: server = VerifyingJSONRPCServer((host, port), logRequests=False, rpc_user=rpc_user, rpc_password=rpc_password) except Exception as e: self.print_error('Warning: cannot initialize RPC server on host', host, e) self.server = None os.close(fd) return os.write(fd, bytes(repr((server.socket.getsockname(), time.time())), 'utf8')) os.close(fd) self.server = server server.timeout = 0.1 server.register_function(self.ping, 'ping') if is_gui: server.register_function(self.run_gui, 'gui') else: server.register_function(self.run_daemon, 'daemon') self.cmd_runner = Commands(self.config, None, self.network) for cmdname in known_commands: server.register_function(getattr(self.cmd_runner, cmdname), cmdname) server.register_function(self.run_cmdline, 'run_cmdline') def ping(self): return True def run_daemon(self, config_options): config = SimpleConfig(config_options) sub = config.get('subcommand') assert sub in [None, 'start', 'stop', 'status', 'load_wallet', 'close_wallet'] if sub in [None, 'start']: response = "Daemon already running" elif sub == 'load_wallet': path = config.get_wallet_path() wallet = self.load_wallet(path, config.get('password')) if wallet is not None: self.cmd_runner.wallet = wallet run_hook('load_wallet', wallet, None) response = wallet is not None elif sub == 'close_wallet': path = config.get_wallet_path() if path in self.wallets: self.stop_wallet(path) response = True else: response = False elif sub == 'status': if self.network: p = self.network.get_parameters() current_wallet = self.cmd_runner.wallet current_wallet_path = current_wallet.storage.path \ if current_wallet else None response = { 'path': self.network.config.path, 'server': p[0], 'blockchain_height': self.network.get_local_height(), 'server_height': self.network.get_server_height(), 'spv_nodes': len(self.network.get_interfaces()), 'connected': self.network.is_connected(), 'auto_connect': p[4], 'version': ELECTRUM_VERSION, 'wallets': {k: w.is_up_to_date() for k, w in self.wallets.items()}, 'current_wallet': current_wallet_path, 'fee_per_kb': self.config.fee_per_kb(), } else: response = "Daemon offline" elif sub == 'stop': self.stop() response = "Daemon stopped" return response def run_gui(self, config_options): config = SimpleConfig(config_options) if self.gui: #if hasattr(self.gui, 'new_window'): # path = config.get_wallet_path() # self.gui.new_window(path, config.get('url')) # response = "ok" #else: # response = "error: current GUI does not support multiple windows" response = "error: Electrum GUI already running" else: response = "Error: Electrum is running in daemon mode. Please stop the daemon first." return response def load_wallet(self, path, password): # wizard will be launched if we return if path in self.wallets: wallet = self.wallets[path] return wallet storage = WalletStorage(path, manual_upgrades=True) if not storage.file_exists(): return if storage.is_encrypted(): if not password: return storage.decrypt(password) if storage.requires_split(): return if storage.get_action(): return wallet = Wallet(storage) wallet.start_threads(self.network) self.wallets[path] = wallet return wallet def add_wallet(self, wallet): path = wallet.storage.path self.wallets[path] = wallet def get_wallet(self, path): return self.wallets.get(path) def stop_wallet(self, path): wallet = self.wallets.pop(path) wallet.stop_threads() def run_cmdline(self, config_options): password = config_options.get('password') new_password = config_options.get('new_password') config = SimpleConfig(config_options) # FIXME this is ugly... config.fee_estimates = self.network.config.fee_estimates.copy() config.mempool_fees = self.network.config.mempool_fees.copy() cmdname = config.get('cmd') cmd = known_commands[cmdname] if cmd.requires_wallet: path = config.get_wallet_path() wallet = self.wallets.get(path) if wallet is None: return {'error': 'Wallet "%s" is not loaded. Use "electrum daemon load_wallet"'%os.path.basename(path) } else: wallet = None # arguments passed to function args = map(lambda x: config.get(x), cmd.params) # decode json arguments args = [json_decode(i) for i in args] # options kwargs = {} for x in cmd.options: kwargs[x] = (config_options.get(x) if x in ['password', 'new_password'] else config.get(x)) cmd_runner = Commands(config, wallet, self.network) func = getattr(cmd_runner, cmd.name) result = func(*args, **kwargs) return result def run(self): while self.is_running(): self.server.handle_request() if self.server else time.sleep(0.1) for k, wallet in self.wallets.items(): wallet.stop_threads() if self.network: self.print_error("shutting down network") self.network.stop() self.network.join() self.on_stop() def stop(self): self.print_error("stopping, removing lockfile") remove_lockfile(get_lockfile(self.config)) DaemonThread.stop(self) def init_gui(self, config, plugins): gui_name = config.get('gui', 'qt') if gui_name in ['lite', 'classic']: gui_name = 'qt' gui = __import__('electrum_vtc_gui.' + gui_name, fromlist=['electrum_vtc_gui']) self.gui = gui.ElectrumGui(config, self, plugins) try: self.gui.main() except BaseException as e: traceback.print_exc(file=sys.stdout) # app will exit now

37.750789

120

0.604496

import ast import os import time import traceback import sys import jsonrpclib from .jsonrpc import VerifyingJSONRPCServer from .version import ELECTRUM_VERSION from .network import Network from .util import json_decode, DaemonThread from .util import print_error, to_string from .wallet import Wallet from .storage import WalletStorage from .commands import known_commands, Commands from .simple_config import SimpleConfig from .exchange_rate import FxThread from .plugins import run_hook def get_lockfile(config): return os.path.join(config.path, 'daemon') def remove_lockfile(lockfile): os.unlink(lockfile) def get_fd_or_server(config): lockfile = get_lockfile(config) while True: try: return os.open(lockfile, os.O_CREAT | os.O_EXCL | os.O_WRONLY, 0o644), None except OSError: pass server = get_server(config) if server is not None: return None, server remove_lockfile(lockfile) def get_server(config): lockfile = get_lockfile(config) while True: create_time = None try: with open(lockfile) as f: (host, port), create_time = ast.literal_eval(f.read()) rpc_user, rpc_password = get_rpc_credentials(config) if rpc_password == '': # authentication disabled server_url = 'http://%s:%d' % (host, port) else: server_url = 'http://%s:%s@%s:%d' % ( rpc_user, rpc_password, host, port) server = jsonrpclib.Server(server_url) # Test daemon is running server.ping() return server except Exception as e: print_error("[get_server]", e) if not create_time or create_time < time.time() - 1.0: return None # Sleep a bit and try again; it might have just been started time.sleep(1.0) def get_rpc_credentials(config): rpc_user = config.get('rpcuser', None) rpc_password = config.get('rpcpassword', None) if rpc_user is None or rpc_password is None: rpc_user = 'user' import ecdsa, base64 bits = 128 nbytes = bits // 8 + (bits % 8 > 0) pw_int = ecdsa.util.randrange(pow(2, bits)) pw_b64 = base64.b64encode( pw_int.to_bytes(nbytes, 'big'), b'-_') rpc_password = to_string(pw_b64, 'ascii') config.set_key('rpcuser', rpc_user) config.set_key('rpcpassword', rpc_password, save=True) elif rpc_password == '': from .util import print_stderr print_stderr('WARNING: RPC authentication is disabled.') return rpc_user, rpc_password class Daemon(DaemonThread): def __init__(self, config, fd, is_gui): DaemonThread.__init__(self) self.config = config if config.get('offline'): self.network = None else: self.network = Network(config) self.network.start() self.fx = FxThread(config, self.network) if self.network: self.network.add_jobs([self.fx]) self.gui = None self.wallets = {} # Setup JSONRPC server self.init_server(config, fd, is_gui) def init_server(self, config, fd, is_gui): host = config.get('rpchost', '127.0.0.1') port = config.get('rpcport', 0) rpc_user, rpc_password = get_rpc_credentials(config) try: server = VerifyingJSONRPCServer((host, port), logRequests=False, rpc_user=rpc_user, rpc_password=rpc_password) except Exception as e: self.print_error('Warning: cannot initialize RPC server on host', host, e) self.server = None os.close(fd) return os.write(fd, bytes(repr((server.socket.getsockname(), time.time())), 'utf8')) os.close(fd) self.server = server server.timeout = 0.1 server.register_function(self.ping, 'ping') if is_gui: server.register_function(self.run_gui, 'gui') else: server.register_function(self.run_daemon, 'daemon') self.cmd_runner = Commands(self.config, None, self.network) for cmdname in known_commands: server.register_function(getattr(self.cmd_runner, cmdname), cmdname) server.register_function(self.run_cmdline, 'run_cmdline') def ping(self): return True def run_daemon(self, config_options): config = SimpleConfig(config_options) sub = config.get('subcommand') assert sub in [None, 'start', 'stop', 'status', 'load_wallet', 'close_wallet'] if sub in [None, 'start']: response = "Daemon already running" elif sub == 'load_wallet': path = config.get_wallet_path() wallet = self.load_wallet(path, config.get('password')) if wallet is not None: self.cmd_runner.wallet = wallet run_hook('load_wallet', wallet, None) response = wallet is not None elif sub == 'close_wallet': path = config.get_wallet_path() if path in self.wallets: self.stop_wallet(path) response = True else: response = False elif sub == 'status': if self.network: p = self.network.get_parameters() current_wallet = self.cmd_runner.wallet current_wallet_path = current_wallet.storage.path \ if current_wallet else None response = { 'path': self.network.config.path, 'server': p[0], 'blockchain_height': self.network.get_local_height(), 'server_height': self.network.get_server_height(), 'spv_nodes': len(self.network.get_interfaces()), 'connected': self.network.is_connected(), 'auto_connect': p[4], 'version': ELECTRUM_VERSION, 'wallets': {k: w.is_up_to_date() for k, w in self.wallets.items()}, 'current_wallet': current_wallet_path, 'fee_per_kb': self.config.fee_per_kb(), } else: response = "Daemon offline" elif sub == 'stop': self.stop() response = "Daemon stopped" return response def run_gui(self, config_options): config = SimpleConfig(config_options) if self.gui: #if hasattr(self.gui, 'new_window'): # path = config.get_wallet_path() # self.gui.new_window(path, config.get('url')) # response = "ok" #else: # response = "error: current GUI does not support multiple windows" response = "error: Electrum GUI already running" else: response = "Error: Electrum is running in daemon mode. Please stop the daemon first." return response def load_wallet(self, path, password): # wizard will be launched if we return if path in self.wallets: wallet = self.wallets[path] return wallet storage = WalletStorage(path, manual_upgrades=True) if not storage.file_exists(): return if storage.is_encrypted(): if not password: return storage.decrypt(password) if storage.requires_split(): return if storage.get_action(): return wallet = Wallet(storage) wallet.start_threads(self.network) self.wallets[path] = wallet return wallet def add_wallet(self, wallet): path = wallet.storage.path self.wallets[path] = wallet def get_wallet(self, path): return self.wallets.get(path) def stop_wallet(self, path): wallet = self.wallets.pop(path) wallet.stop_threads() def run_cmdline(self, config_options): password = config_options.get('password') new_password = config_options.get('new_password') config = SimpleConfig(config_options) # FIXME this is ugly... config.fee_estimates = self.network.config.fee_estimates.copy() config.mempool_fees = self.network.config.mempool_fees.copy() cmdname = config.get('cmd') cmd = known_commands[cmdname] if cmd.requires_wallet: path = config.get_wallet_path() wallet = self.wallets.get(path) if wallet is None: return {'error': 'Wallet "%s" is not loaded. Use "electrum daemon load_wallet"'%os.path.basename(path) } else: wallet = None # arguments passed to function args = map(lambda x: config.get(x), cmd.params) # decode json arguments args = [json_decode(i) for i in args] # options kwargs = {} for x in cmd.options: kwargs[x] = (config_options.get(x) if x in ['password', 'new_password'] else config.get(x)) cmd_runner = Commands(config, wallet, self.network) func = getattr(cmd_runner, cmd.name) result = func(*args, **kwargs) return result def run(self): while self.is_running(): self.server.handle_request() if self.server else time.sleep(0.1) for k, wallet in self.wallets.items(): wallet.stop_threads() if self.network: self.print_error("shutting down network") self.network.stop() self.network.join() self.on_stop() def stop(self): self.print_error("stopping, removing lockfile") remove_lockfile(get_lockfile(self.config)) DaemonThread.stop(self) def init_gui(self, config, plugins): gui_name = config.get('gui', 'qt') if gui_name in ['lite', 'classic']: gui_name = 'qt' gui = __import__('electrum_vtc_gui.' + gui_name, fromlist=['electrum_vtc_gui']) self.gui = gui.ElectrumGui(config, self, plugins) try: self.gui.main() except BaseException as e: traceback.print_exc(file=sys.stdout) # app will exit now

true

f7f50ba5cb6eef728d25241e98cb94b70973b622

2,562

py

Python

env/common/files/bin/systemd_status.py

kjetilkl/infrastructure-playbook

4347aa6e6a251a18228adae2c0db3744f78f4b45

[ "MIT" ]

null

env/common/files/bin/systemd_status.py

kjetilkl/infrastructure-playbook

4347aa6e6a251a18228adae2c0db3744f78f4b45

[ "MIT" ]

null

env/common/files/bin/systemd_status.py

kjetilkl/infrastructure-playbook

4347aa6e6a251a18228adae2c0db3744f78f4b45

[ "MIT" ]

null

#!/usr/bin/env python3 """ Kim Brugger (25 Sep 2020), contact: kim@brugger.dk """ import socket import subprocess import argparse import shlex import json import datetime states = {'active': 1, 'inactive': 2, 'activating': 3, 'deactivating': 4, 'failed': 5, 'not-found': 6, 'dead': 7,} def get_host_name() -> str: return socket.getfqdn() def get_state(service_name) -> int: cmd = f"systemctl show --no-page {service_name}" p = subprocess.Popen(shlex.split(cmd), stdout=subprocess.PIPE, stderr=subprocess.PIPE) # NOQA stdout, stderr = p.communicate() stdout = stdout.decode('utf-8') stderr = stderr.decode('utf-8') res = {'name': service_name} if stderr: res['status':'status-error'] return res for line in str(stdout).split("\n"): if "=" not in line: continue key, value = line.split("=",1) if key == 'ActiveState' and 'status' not in res: res['status'] = value if key == 'LoadState' and value == 'not-found': res['status'] = "not-found" if key == 'ExecMainStartTimestamp': ts = datetime.datetime.strptime(value, "%a %Y-%m-%d %H:%M:%S %Z") now = datetime.datetime.now() res['uptime'] = (now - ts).total_seconds() res[ "status_code" ] = states[ res['status']] return res def main(): parser = argparse.ArgumentParser(description='systemd service status reporter') parser.add_argument('-t', '--telegraf', default=False, action="store_true", help="telegraf compatible format") parser.add_argument('-j', '--json', default=False, action="store_true", help="telegraf compatible format") parser.add_argument('services', nargs='+', help="service(s) to check") args = parser.parse_args() statuses = [] for service in args.services: status = get_state(service) if args.telegraf: line = f"service,host={get_host_name()},service={service} status_code={status['status_code']}" if 'uptime' in status: line += f",uptime={status['uptime']}" print( line ) elif args.json: statuses.append( status ) else: line = f"{service:20s} {status['status_code']}/{status['status']:15}" if 'uptime' in status: line += f" {status['uptime']}s" print( line ) if args.json: print(json.dumps( statuses)) if __name__ == "__main__": main()

26.412371

117

0.575722

import socket import subprocess import argparse import shlex import json import datetime states = {'active': 1, 'inactive': 2, 'activating': 3, 'deactivating': 4, 'failed': 5, 'not-found': 6, 'dead': 7,} def get_host_name() -> str: return socket.getfqdn() def get_state(service_name) -> int: cmd = f"systemctl show --no-page {service_name}" p = subprocess.Popen(shlex.split(cmd), stdout=subprocess.PIPE, stderr=subprocess.PIPE) stdout, stderr = p.communicate() stdout = stdout.decode('utf-8') stderr = stderr.decode('utf-8') res = {'name': service_name} if stderr: res['status':'status-error'] return res for line in str(stdout).split("\n"): if "=" not in line: continue key, value = line.split("=",1) if key == 'ActiveState' and 'status' not in res: res['status'] = value if key == 'LoadState' and value == 'not-found': res['status'] = "not-found" if key == 'ExecMainStartTimestamp': ts = datetime.datetime.strptime(value, "%a %Y-%m-%d %H:%M:%S %Z") now = datetime.datetime.now() res['uptime'] = (now - ts).total_seconds() res[ "status_code" ] = states[ res['status']] return res def main(): parser = argparse.ArgumentParser(description='systemd service status reporter') parser.add_argument('-t', '--telegraf', default=False, action="store_true", help="telegraf compatible format") parser.add_argument('-j', '--json', default=False, action="store_true", help="telegraf compatible format") parser.add_argument('services', nargs='+', help="service(s) to check") args = parser.parse_args() statuses = [] for service in args.services: status = get_state(service) if args.telegraf: line = f"service,host={get_host_name()},service={service} status_code={status['status_code']}" if 'uptime' in status: line += f",uptime={status['uptime']}" print( line ) elif args.json: statuses.append( status ) else: line = f"{service:20s} {status['status_code']}/{status['status']:15}" if 'uptime' in status: line += f" {status['uptime']}s" print( line ) if args.json: print(json.dumps( statuses)) if __name__ == "__main__": main()

true

f7f50bc400c9db3745673ea7bfddecbc34de52ad

5,153

py

Python

varlink/tests/test_scanner.py

varlink/python

ea5de247d8d86767095d50a13d0ce3dbc80c877f

[ "Apache-2.0" ]

30

2018-04-12T16:05:47.000Z

2021-09-02T15:03:24.000Z

varlink/tests/test_scanner.py

varlink/python-varlink

ea5de247d8d86767095d50a13d0ce3dbc80c877f

[ "Apache-2.0" ]

23

2018-05-10T09:29:09.000Z

2022-01-12T09:24:16.000Z

varlink/tests/test_scanner.py

varlink/python

ea5de247d8d86767095d50a13d0ce3dbc80c877f

[ "Apache-2.0" ]

8

2018-05-14T08:38:24.000Z

2021-12-06T11:46:53.000Z

from __future__ import print_function from __future__ import unicode_literals import unittest import varlink class TestScanner(unittest.TestCase): def test_scanner_1(self): interface = varlink.Interface("""# Example Varlink service interface org.example.more # Enum, returning either start, progress or end # progress: [0-100] type State ( start: ?bool, progress: ?int, end: ?bool ) method TestMap(map: [string]string) -> (map: [string](i: int, val: string)) # Returns the same string method Ping(ping: string) -> (pong: string) # Dummy progress method # n: number of progress steps method TestMore(n: int) -> (state: State) # Stop serving method StopServing() -> () type ErrorChain ( description: string, caused_by: ?ErrorChain ) error ActionFailed (reason: ?ErrorChain) """) self.assertEqual(interface.name, "org.example.more") self.assertIsNotNone(interface.get_method("Ping")) self.assertIsNotNone(interface.get_method("TestMore")) self.assertIsNotNone(interface.get_method("TestMap")) self.assertIsNotNone(interface.get_method("StopServing")) self.assertIsInstance(interface.members.get("ActionFailed"), varlink.scanner._Error) self.assertIsInstance(interface.members.get("State"), varlink.scanner._Alias) def test_doubleoption(self): interface = None try: interface = varlink.Interface(""" interface org.example.doubleoption method Foo(a: ??string) -> () """) except SyntaxError: pass self.assertIsNone(interface) def test_complex(self): interface = varlink.Interface(""" interface org.example.complex type TypeEnum ( a, b, c ) type TypeFoo ( bool: bool, int: int, float: float, string: ?string, enum: ?[]( foo, bar, baz ), type: ?TypeEnum, anon: ( foo: bool, bar: int, baz: [](a: int, b: int) ), object: object ) method Foo(a: (b: bool, c: int), foo: TypeFoo) -> (a: [](b: bool, c: int), foo: TypeFoo) error ErrorFoo (a: (b: bool, c: int), foo: TypeFoo) """) self.assertEqual(interface.name, "org.example.complex") self.assertIsNotNone(interface.get_method("Foo")) self.assertIsInstance(interface.members.get("ErrorFoo"), varlink.scanner._Error) self.assertIsInstance(interface.members.get("TypeEnum"), varlink.scanner._Alias) def test_interfacename(self): self.assertRaises(SyntaxError, varlink.Interface, "interface .a.b.c\nmethod F()->()") self.assertRaises(SyntaxError, varlink.Interface, "interface com.-example.leadinghyphen\nmethod F()->()") self.assertRaises(SyntaxError, varlink.Interface, "interface com.example-.danglinghyphen-\nmethod F()->()") self.assertRaises(SyntaxError, varlink.Interface, "interface co9.example.number-toplevel\nmethod F()->()") self.assertRaises(SyntaxError, varlink.Interface, "interface 1om.example.number-toplevel\nmethod F()->()") self.assertRaises(SyntaxError, varlink.Interface, "interface ab\nmethod F()->()") self.assertRaises(SyntaxError, varlink.Interface, "interface .a.b.c\nmethod F()->()") self.assertRaises(SyntaxError, varlink.Interface, "interface a.b.c.\nmethod F()->()") self.assertRaises(SyntaxError, varlink.Interface, "interface a..b.c\nmethod F()->()") self.assertRaises(SyntaxError, varlink.Interface, "interface 1.b.c\nmethod F()->()") self.assertRaises(SyntaxError, varlink.Interface, "interface 8a.0.0\nmethod F()->()") self.assertRaises(SyntaxError, varlink.Interface, "interface -a.b.c\nmethod F()->()") self.assertRaises(SyntaxError, varlink.Interface, "interface a.b.c-\nmethod F()->()") self.assertRaises(SyntaxError, varlink.Interface, "interface a.b-.c-\nmethod F()->()") self.assertRaises(SyntaxError, varlink.Interface, "interface a.-b.c-\nmethod F()->()") self.assertRaises(SyntaxError, varlink.Interface, "interface a.-.c\nmethod F()->()") self.assertRaises(SyntaxError, varlink.Interface, "interface a.*.c\nmethod F()->()") self.assertRaises(SyntaxError, varlink.Interface, "interface a.?\nmethod F()->()") self.assertIsNotNone(varlink.Interface("interface a.b\nmethod F()->()").name) self.assertIsNotNone(varlink.Interface("interface a.b.c\nmethod F()->()").name) self.assertIsNotNone(varlink.Interface("interface a.1\nmethod F()->()").name) self.assertIsNotNone(varlink.Interface("interface a.0.0\nmethod F()->()").name) self.assertIsNotNone(varlink.Interface("interface org.varlink.service\nmethod F()->()").name) self.assertIsNotNone(varlink.Interface("interface com.example.0example\nmethod F()->()").name) self.assertIsNotNone(varlink.Interface("interface com.example.example-dash\nmethod F()->()").name) self.assertIsNotNone(varlink.Interface("interface xn--lgbbat1ad8j.example.algeria\nmethod F()->()").name) self.assertIsNotNone(varlink.Interface("interface xn--c1yn36f.xn--c1yn36f.xn--c1yn36f\nmethod F()->()").name)

44.808696

117

0.671842

from __future__ import print_function from __future__ import unicode_literals import unittest import varlink class TestScanner(unittest.TestCase): def test_scanner_1(self): interface = varlink.Interface("""# Example Varlink service interface org.example.more # Enum, returning either start, progress or end # progress: [0-100] type State ( start: ?bool, progress: ?int, end: ?bool ) method TestMap(map: [string]string) -> (map: [string](i: int, val: string)) # Returns the same string method Ping(ping: string) -> (pong: string) # Dummy progress method # n: number of progress steps method TestMore(n: int) -> (state: State) # Stop serving method StopServing() -> () type ErrorChain ( description: string, caused_by: ?ErrorChain ) error ActionFailed (reason: ?ErrorChain) """) self.assertEqual(interface.name, "org.example.more") self.assertIsNotNone(interface.get_method("Ping")) self.assertIsNotNone(interface.get_method("TestMore")) self.assertIsNotNone(interface.get_method("TestMap")) self.assertIsNotNone(interface.get_method("StopServing")) self.assertIsInstance(interface.members.get("ActionFailed"), varlink.scanner._Error) self.assertIsInstance(interface.members.get("State"), varlink.scanner._Alias) def test_doubleoption(self): interface = None try: interface = varlink.Interface(""" interface org.example.doubleoption method Foo(a: ??string) -> () """) except SyntaxError: pass self.assertIsNone(interface) def test_complex(self): interface = varlink.Interface(""" interface org.example.complex type TypeEnum ( a, b, c ) type TypeFoo ( bool: bool, int: int, float: float, string: ?string, enum: ?[]( foo, bar, baz ), type: ?TypeEnum, anon: ( foo: bool, bar: int, baz: [](a: int, b: int) ), object: object ) method Foo(a: (b: bool, c: int), foo: TypeFoo) -> (a: [](b: bool, c: int), foo: TypeFoo) error ErrorFoo (a: (b: bool, c: int), foo: TypeFoo) """) self.assertEqual(interface.name, "org.example.complex") self.assertIsNotNone(interface.get_method("Foo")) self.assertIsInstance(interface.members.get("ErrorFoo"), varlink.scanner._Error) self.assertIsInstance(interface.members.get("TypeEnum"), varlink.scanner._Alias) def test_interfacename(self): self.assertRaises(SyntaxError, varlink.Interface, "interface .a.b.c\nmethod F()->()") self.assertRaises(SyntaxError, varlink.Interface, "interface com.-example.leadinghyphen\nmethod F()->()") self.assertRaises(SyntaxError, varlink.Interface, "interface com.example-.danglinghyphen-\nmethod F()->()") self.assertRaises(SyntaxError, varlink.Interface, "interface co9.example.number-toplevel\nmethod F()->()") self.assertRaises(SyntaxError, varlink.Interface, "interface 1om.example.number-toplevel\nmethod F()->()") self.assertRaises(SyntaxError, varlink.Interface, "interface ab\nmethod F()->()") self.assertRaises(SyntaxError, varlink.Interface, "interface .a.b.c\nmethod F()->()") self.assertRaises(SyntaxError, varlink.Interface, "interface a.b.c.\nmethod F()->()") self.assertRaises(SyntaxError, varlink.Interface, "interface a..b.c\nmethod F()->()") self.assertRaises(SyntaxError, varlink.Interface, "interface 1.b.c\nmethod F()->()") self.assertRaises(SyntaxError, varlink.Interface, "interface 8a.0.0\nmethod F()->()") self.assertRaises(SyntaxError, varlink.Interface, "interface -a.b.c\nmethod F()->()") self.assertRaises(SyntaxError, varlink.Interface, "interface a.b.c-\nmethod F()->()") self.assertRaises(SyntaxError, varlink.Interface, "interface a.b-.c-\nmethod F()->()") self.assertRaises(SyntaxError, varlink.Interface, "interface a.-b.c-\nmethod F()->()") self.assertRaises(SyntaxError, varlink.Interface, "interface a.-.c\nmethod F()->()") self.assertRaises(SyntaxError, varlink.Interface, "interface a.*.c\nmethod F()->()") self.assertRaises(SyntaxError, varlink.Interface, "interface a.?\nmethod F()->()") self.assertIsNotNone(varlink.Interface("interface a.b\nmethod F()->()").name) self.assertIsNotNone(varlink.Interface("interface a.b.c\nmethod F()->()").name) self.assertIsNotNone(varlink.Interface("interface a.1\nmethod F()->()").name) self.assertIsNotNone(varlink.Interface("interface a.0.0\nmethod F()->()").name) self.assertIsNotNone(varlink.Interface("interface org.varlink.service\nmethod F()->()").name) self.assertIsNotNone(varlink.Interface("interface com.example.0example\nmethod F()->()").name) self.assertIsNotNone(varlink.Interface("interface com.example.example-dash\nmethod F()->()").name) self.assertIsNotNone(varlink.Interface("interface xn--lgbbat1ad8j.example.algeria\nmethod F()->()").name) self.assertIsNotNone(varlink.Interface("interface xn--c1yn36f.xn--c1yn36f.xn--c1yn36f\nmethod F()->()").name)

true

f7f50cdaae738f60bcdafb10c0ba9026db9bf9ef

10,706

py

Python

src/money/money.py

cool-RR/money

7209d4c3bd3ee0d0a8ea5e8a900c51fa81f0526e

[ "MIT" ]

1

2019-09-04T06:04:33.000Z

src/money/money.py

cool-RR/money

7209d4c3bd3ee0d0a8ea5e8a900c51fa81f0526e

[ "MIT" ]

null

src/money/money.py

cool-RR/money

7209d4c3bd3ee0d0a8ea5e8a900c51fa81f0526e

[ "MIT" ]

null

""" Money classes """ import decimal import re from .exchange import xrates from .exceptions import CurrencyMismatch, ExchangeRateNotFound __all__ = ['Money', 'XMoney'] BABEL_AVAILABLE = False REGEX_CURRENCY_CODE = re.compile("^[A-Z]{3}$") try: import babel import babel.numbers BABEL_AVAILABLE = True except ImportError: pass class Money(object): """Money class with a decimal amount and a currency""" __hash__ = None def __init__(self, amount="0", currency=None): try: self.amount = decimal.Decimal(amount) except decimal.InvalidOperation: raise ValueError("amount value could not be converted to " "Decimal(): '{}'".format(amount)) from None if currency in [None, False, '']: raise ValueError("invalid currency value: '{}'".format(currency)) if not REGEX_CURRENCY_CODE.match(currency): raise ValueError("currency not in ISO 4217 format: " "'{}'".format(currency)) self.currency = currency def __repr__(self): return "{} {}".format(self.currency, self.amount) def __str__(self): return "{} {:,.2f}".format(self.currency, self.amount) def __lt__(self, other): if isinstance(other, Money): if other.currency != self.currency: raise CurrencyMismatch(self.currency, other.currency, '<') other = other.amount return self.amount < other def __le__(self, other): if isinstance(other, Money): if other.currency != self.currency: raise CurrencyMismatch(self.currency, other.currency, '<=') other = other.amount return self.amount <= other def __eq__(self, other): if isinstance(other, Money): return ((self.amount == other.amount) and (self.currency == other.currency)) return False def __ne__(self, other): return not self == other def __gt__(self, other): if isinstance(other, Money): if other.currency != self.currency: raise CurrencyMismatch(self.currency, other.currency, '>') other = other.amount return self.amount > other def __ge__(self, other): if isinstance(other, Money): if other.currency != self.currency: raise CurrencyMismatch(self.currency, other.currency, '>=') other = other.amount return self.amount >= other def __bool__(self): """ Considering Money a numeric type (on ``amount``): bool(Money(2, 'XXX')) --> True bool(Money(0, 'XXX')) --> False """ return bool(self.amount) def __add__(self, other): if isinstance(other, Money): if other.currency != self.currency: raise CurrencyMismatch(self.currency, other.currency, '+') other = other.amount amount = self.amount + other return self.__class__(amount, self.currency) def __radd__(self, other): return self.__add__(other) def __sub__(self, other): if isinstance(other, Money): if other.currency != self.currency: raise CurrencyMismatch(self.currency, other.currency, '-') other = other.amount amount = self.amount - other return self.__class__(amount, self.currency) def __rsub__(self, other): return (-self).__add__(other) def __mul__(self, other): if isinstance(other, Money): raise TypeError("multiplication is unsupported between " "two money objects") amount = self.amount * other return self.__class__(amount, self.currency) def __rmul__(self, other): return self.__mul__(other) def __truediv__(self, other): if isinstance(other, Money): if other.currency != self.currency: raise CurrencyMismatch(self.currency, other.currency, '/') elif other.amount == 0: raise ZeroDivisionError() return self.amount / other.amount else: if other == 0: raise ZeroDivisionError() amount = self.amount / other return self.__class__(amount, self.currency) def __floordiv__(self, other): if isinstance(other, Money): if other.currency != self.currency: raise CurrencyMismatch(self.currency, other.currency, '//') elif other.amount == 0: raise ZeroDivisionError() return self.amount // other.amount else: if other == 0: raise ZeroDivisionError() amount = self.amount // other return self.__class__(amount, self.currency) def __mod__(self, other): if isinstance(other, Money): raise TypeError("modulo is unsupported between two '{}' " "objects".format(self.__class__.__name__)) if other == 0: raise ZeroDivisionError() amount = self.amount % other return self.__class__(amount, self.currency) def __divmod__(self, other): if isinstance(other, Money): if other.currency != self.currency: raise CurrencyMismatch(self.currency, other.currency, 'divmod') elif other.amount == 0: raise ZeroDivisionError() return divmod(self.amount, other.amount) else: if other == 0: raise ZeroDivisionError() whole, remainder = divmod(self.amount, other) return (self.__class__(whole, self.currency), self.__class__(remainder, self.currency)) def __pow__(self, other): if isinstance(other, Money): raise TypeError("power operator is unsupported between two '{}' " "objects".format(self.__class__.__name__)) amount = self.amount ** other return self.__class__(amount, self.currency) def __neg__(self): return self.__class__(-self.amount, self.currency) def __pos__(self): return self.__class__(+self.amount, self.currency) def __abs__(self): return self.__class__(abs(self.amount), self.currency) def __int__(self): return int(self.amount) def __float__(self): return float(self.amount) def __round__(self, ndigits=0): return self.__class__(round(self.amount, ndigits), self.currency) def to(self, currency): """Return equivalent money object in another currency""" if currency == self.currency: return self rate = xrates.quotation(self.currency, currency) if rate is None: raise ExchangeRateNotFound(xrates.backend_name, self.currency, currency) amount = self.amount * rate return self.__class__(amount, currency) def format(self, locale=None, pattern=None): """ Return a locale-aware, currency-formatted string. This method emulates babel.numbers.format_currency(). A specific locale identifier (language[_territory]) can be passed, otherwise the system's default locale will be used. A custom formatting pattern of the form "¤#,##0.00;(¤#,##0.00)" (positive[;negative]) can also be passed, otherwise it will be determined from the locale and the CLDR (Unicode Common Locale Data Repository) included with Babel. >>> m = Money('1234.567', 'EUR') >>> m.format() # assuming the system's locale is 'en_US' €1,234.57 >>> m.format('de_DE') # German formatting 1.234,57 € >>> m.format('de', '#,##0 ¤') # German formatting (short), no cents 1.235 € >>> m.format(pattern='#,##0.00 ¤¤¤') # Default locale, full name 1,235.57 euro Learn more about this formatting syntaxis at: http://www.unicode.org/reports/tr35/tr35-numbers.html """ if BABEL_AVAILABLE: if not locale: locale = babel.default_locale('LC_NUMERIC') locale = babel.Locale.parse(locale) if not pattern: pattern = locale.currency_formats.get(pattern) pattern = babel.numbers.parse_pattern(pattern) return pattern.apply(self.amount, locale, currency=self.currency) else: raise NotImplementedError("formatting requires Babel " "(https://pypi.python.org/pypi/Babel)") @classmethod def loads(cls, s): """Parse from a string representation (repr)""" try: currency, amount = s.strip().split(' ') return cls(amount, currency) except ValueError as err: raise ValueError("failed to parse string '{}': " "{}".format(s, err)) from None class XMoney(Money): """Money subclass with implicit currency conversion""" def __lt__(self, other): if isinstance(other, Money): other = other.to(self.currency) return super().__lt__(other) def __le__(self, other): if isinstance(other, Money): other = other.to(self.currency) return super().__le__(other) def __gt__(self, other): if isinstance(other, Money): other = other.to(self.currency) return super().__gt__(other) def __ge__(self, other): if isinstance(other, Money): other = other.to(self.currency) return super().__ge__(other) def __add__(self, other): if isinstance(other, Money): other = other.to(self.currency) return super().__add__(other) def __sub__(self, other): if isinstance(other, Money): other = other.to(self.currency) return super().__sub__(other) def __truediv__(self, other): if isinstance(other, Money): other = other.to(self.currency) return super().__truediv__(other) def __floordiv__(self, other): if isinstance(other, Money): other = other.to(self.currency) return super().__floordiv__(other) def __divmod__(self, other): if isinstance(other, Money): other = other.to(self.currency) return super().__divmod__(other)

34.314103

79

0.573977

import decimal import re from .exchange import xrates from .exceptions import CurrencyMismatch, ExchangeRateNotFound __all__ = ['Money', 'XMoney'] BABEL_AVAILABLE = False REGEX_CURRENCY_CODE = re.compile("^[A-Z]{3}$") try: import babel import babel.numbers BABEL_AVAILABLE = True except ImportError: pass class Money(object): __hash__ = None def __init__(self, amount="0", currency=None): try: self.amount = decimal.Decimal(amount) except decimal.InvalidOperation: raise ValueError("amount value could not be converted to " "Decimal(): '{}'".format(amount)) from None if currency in [None, False, '']: raise ValueError("invalid currency value: '{}'".format(currency)) if not REGEX_CURRENCY_CODE.match(currency): raise ValueError("currency not in ISO 4217 format: " "'{}'".format(currency)) self.currency = currency def __repr__(self): return "{} {}".format(self.currency, self.amount) def __str__(self): return "{} {:,.2f}".format(self.currency, self.amount) def __lt__(self, other): if isinstance(other, Money): if other.currency != self.currency: raise CurrencyMismatch(self.currency, other.currency, '<') other = other.amount return self.amount < other def __le__(self, other): if isinstance(other, Money): if other.currency != self.currency: raise CurrencyMismatch(self.currency, other.currency, '<=') other = other.amount return self.amount <= other def __eq__(self, other): if isinstance(other, Money): return ((self.amount == other.amount) and (self.currency == other.currency)) return False def __ne__(self, other): return not self == other def __gt__(self, other): if isinstance(other, Money): if other.currency != self.currency: raise CurrencyMismatch(self.currency, other.currency, '>') other = other.amount return self.amount > other def __ge__(self, other): if isinstance(other, Money): if other.currency != self.currency: raise CurrencyMismatch(self.currency, other.currency, '>=') other = other.amount return self.amount >= other def __bool__(self): return bool(self.amount) def __add__(self, other): if isinstance(other, Money): if other.currency != self.currency: raise CurrencyMismatch(self.currency, other.currency, '+') other = other.amount amount = self.amount + other return self.__class__(amount, self.currency) def __radd__(self, other): return self.__add__(other) def __sub__(self, other): if isinstance(other, Money): if other.currency != self.currency: raise CurrencyMismatch(self.currency, other.currency, '-') other = other.amount amount = self.amount - other return self.__class__(amount, self.currency) def __rsub__(self, other): return (-self).__add__(other) def __mul__(self, other): if isinstance(other, Money): raise TypeError("multiplication is unsupported between " "two money objects") amount = self.amount * other return self.__class__(amount, self.currency) def __rmul__(self, other): return self.__mul__(other) def __truediv__(self, other): if isinstance(other, Money): if other.currency != self.currency: raise CurrencyMismatch(self.currency, other.currency, '/') elif other.amount == 0: raise ZeroDivisionError() return self.amount / other.amount else: if other == 0: raise ZeroDivisionError() amount = self.amount / other return self.__class__(amount, self.currency) def __floordiv__(self, other): if isinstance(other, Money): if other.currency != self.currency: raise CurrencyMismatch(self.currency, other.currency, '//') elif other.amount == 0: raise ZeroDivisionError() return self.amount // other.amount else: if other == 0: raise ZeroDivisionError() amount = self.amount // other return self.__class__(amount, self.currency) def __mod__(self, other): if isinstance(other, Money): raise TypeError("modulo is unsupported between two '{}' " "objects".format(self.__class__.__name__)) if other == 0: raise ZeroDivisionError() amount = self.amount % other return self.__class__(amount, self.currency) def __divmod__(self, other): if isinstance(other, Money): if other.currency != self.currency: raise CurrencyMismatch(self.currency, other.currency, 'divmod') elif other.amount == 0: raise ZeroDivisionError() return divmod(self.amount, other.amount) else: if other == 0: raise ZeroDivisionError() whole, remainder = divmod(self.amount, other) return (self.__class__(whole, self.currency), self.__class__(remainder, self.currency)) def __pow__(self, other): if isinstance(other, Money): raise TypeError("power operator is unsupported between two '{}' " "objects".format(self.__class__.__name__)) amount = self.amount ** other return self.__class__(amount, self.currency) def __neg__(self): return self.__class__(-self.amount, self.currency) def __pos__(self): return self.__class__(+self.amount, self.currency) def __abs__(self): return self.__class__(abs(self.amount), self.currency) def __int__(self): return int(self.amount) def __float__(self): return float(self.amount) def __round__(self, ndigits=0): return self.__class__(round(self.amount, ndigits), self.currency) def to(self, currency): if currency == self.currency: return self rate = xrates.quotation(self.currency, currency) if rate is None: raise ExchangeRateNotFound(xrates.backend_name, self.currency, currency) amount = self.amount * rate return self.__class__(amount, currency) def format(self, locale=None, pattern=None): if BABEL_AVAILABLE: if not locale: locale = babel.default_locale('LC_NUMERIC') locale = babel.Locale.parse(locale) if not pattern: pattern = locale.currency_formats.get(pattern) pattern = babel.numbers.parse_pattern(pattern) return pattern.apply(self.amount, locale, currency=self.currency) else: raise NotImplementedError("formatting requires Babel " "(https://pypi.python.org/pypi/Babel)") @classmethod def loads(cls, s): try: currency, amount = s.strip().split(' ') return cls(amount, currency) except ValueError as err: raise ValueError("failed to parse string '{}': " "{}".format(s, err)) from None class XMoney(Money): def __lt__(self, other): if isinstance(other, Money): other = other.to(self.currency) return super().__lt__(other) def __le__(self, other): if isinstance(other, Money): other = other.to(self.currency) return super().__le__(other) def __gt__(self, other): if isinstance(other, Money): other = other.to(self.currency) return super().__gt__(other) def __ge__(self, other): if isinstance(other, Money): other = other.to(self.currency) return super().__ge__(other) def __add__(self, other): if isinstance(other, Money): other = other.to(self.currency) return super().__add__(other) def __sub__(self, other): if isinstance(other, Money): other = other.to(self.currency) return super().__sub__(other) def __truediv__(self, other): if isinstance(other, Money): other = other.to(self.currency) return super().__truediv__(other) def __floordiv__(self, other): if isinstance(other, Money): other = other.to(self.currency) return super().__floordiv__(other) def __divmod__(self, other): if isinstance(other, Money): other = other.to(self.currency) return super().__divmod__(other)

true

f7f50d3859dc37348d989f476844d4fc5754a40a

7,891

py

Python

dockupdater/lib/config.py

francois4224/dockupdater

367057140cfeb19d653df2e70da24e4c51e45d38

[ "MIT" ]

62

2019-03-08T15:08:01.000Z

2022-03-24T09:13:56.000Z

dockupdater/lib/config.py

francois4224/dockupdater

367057140cfeb19d653df2e70da24e4c51e45d38

[ "MIT" ]

25

2019-03-09T03:19:32.000Z

2022-03-02T16:39:04.000Z

dockupdater/lib/config.py

francois4224/dockupdater

367057140cfeb19d653df2e70da24e4c51e45d38

[ "MIT" ]

12

2019-03-08T15:10:55.000Z

2021-12-27T15:09:07.000Z

import re from copy import deepcopy from logging import getLogger from os import environ from pathlib import Path from ..helpers.helpers import convert_to_boolean from .logger import BlacklistFilter OPTION_REGEX_PATTERN = r"^(?:weight:(?P<weight>\d+),)?(?P<regex>.*)$" DEFAULT_REGEX_WEIGHT = 100 MINIMUM_INTERVAL = 30 ENABLE_LABEL = "dockupdater.enable" DISABLE_LABEL = "dockupdater.disable" LABELS_MAPPING = { "dockupdater.latest": "latest", "dockupdater.notifiers": "notifiers", "dockupdater.stop_signal": "stop_signal", "dockupdater.cleanup": "cleanup", "dockupdater.template_file": "template_file", "dockupdater.wait": "wait", "dockupdater.recreate_first": "recreate_first", "dockupdater.starts": "starts", "dockupdater.stops": "stops", } class DefaultConfig(object): """Default configuration""" hostname = environ.get('HOSTNAME') interval = 300 cron = None docker_sockets = ['unix://var/run/docker.sock'] docker_tls = False docker_tls_verify = True log_level = 'info' cleanup = False run_once = False label = False stop_signal = None disable_containers_check = False disable_services_check = False latest = False wait = 0 recreate_first = False stops = [] starts = [] repo_user = None repo_pass = None notifiers = [] skip_start_notif = False template_file = None class OptionRegex(object): def __init__(self, pattern): """pattern may be in these format: - weight:Digit,regex_pattern - regex_pattern """ match = re.fullmatch(OPTION_REGEX_PATTERN, pattern, re.IGNORECASE).groupdict() try: re.compile(match.get("regex")) # Test the regex self.regex = match.get("regex") except re.error: raise AttributeError("Invalid regex {} for option start or stop.".format(match.get("regex"))) self.weight = int(match.get("weight") or DEFAULT_REGEX_WEIGHT) self.tokens = None def match(self, name): regex = self.regex if self.tokens: for token, value in self.tokens.items(): if token and value: regex = regex.replace("{" + str(token) + "}", value) return bool(re.fullmatch(regex, name)) def __repr__(self): return f"<Option {self.regex}[{self.weight}]>" class Config(object): def __init__(self, **kwargs): super().__setattr__("options", kwargs) self.logger = getLogger() self.compute_args() self.filtered_strings = None @classmethod def from_labels(cls, config, labels): """Create a new config object from an existing config and a dict of docker labels""" options = deepcopy(config.options) if labels: for label, value in labels.items(): if label in LABELS_MAPPING: if label in ["dockupdater.notifiers"]: options[LABELS_MAPPING[label]] = value.split(" ") elif label in ["dockupdater.latest", "dockupdater.cleanup"]: options[LABELS_MAPPING[label]] = convert_to_boolean(value) elif label in ["dockupdater.wait"]: options[LABELS_MAPPING[label]] = int(value) elif label in ["dockupdater.stops", "dockupdater.starts"]: options[LABELS_MAPPING[label]] = [OptionRegex(item) for item in value.split(" ")] else: options[LABELS_MAPPING[label]] = value if label == "dockupdater.template_file": # Reload template options["template"] = Config.load_template(options.get('template_file')) elif label.startswith("dockupdater."): config.logger.warning("Warning label %s doesn't exist", label) return cls(**options) def __setattr__(self, key, value): if key in self.options: self.options[key] = value else: super().__setattr__(key, value) def __getattr__(self, attr): try: return self.options[attr] except KeyError: raise AttributeError def config_blacklist(self): """Mask sensitive data from logs""" filtered_strings = [ getattr(self, key.lower()) for key, value in self.options.items() if key.lower() in BlacklistFilter.blacklisted_keys ] # Clear None values self.filtered_strings = list(filter(None, filtered_strings)) # take lists inside of list and append to list for index, value in enumerate(self.filtered_strings, 0): if isinstance(value, list) or isinstance(value, tuple): self.filtered_strings.extend(self.filtered_strings.pop(index)) self.filtered_strings.insert(index, self.filtered_strings[-1:][0]) # Filter out no string item self.filtered_strings = [item for item in self.filtered_strings if isinstance(item, str)] # Added matching for ports ports = [string.split(':')[0] for string in self.filtered_strings if ':' in string] self.filtered_strings.extend(ports) # Added matching for tcp sockets. ConnectionPool ignores the tcp:// tcp_sockets = [string.split('//')[1] for string in self.filtered_strings if '//' in string] self.filtered_strings.extend(tcp_sockets) # Get JUST hostname from tcp//unix for socket in getattr(self, 'docker_sockets'): self.filtered_strings.append(socket.split('//')[1].split(':')[0]) for handler in self.logger.handlers: handler.addFilter(BlacklistFilter(set(self.filtered_strings))) def compute_args(self): if self.repo_user and self.repo_pass: self.options['auth_json'] = {'Username': self.repo_user, 'Password': self.repo_pass} else: self.options['auth_json'] = None if self.disable_containers_check and self.disable_services_check: raise AttributeError("Error you can't disable all monitoring (containers/services).") # Config sanity checks if self.cron: if not isinstance(self.cron, list): cron_times = self.cron.strip().split(' ') if len(cron_times) != 5: self.logger.critical("Cron must be in cron syntax. e.g. * * * * * (5 places).") raise AttributeError("Invalid cron") else: self.logger.info("Cron configuration is valid. Using Cron schedule %s", cron_times) self.cron = cron_times self.interval = None else: if self.interval < MINIMUM_INTERVAL: self.logger.warning('Minimum value for interval was 30 seconds.') self.interval = MINIMUM_INTERVAL # Convert parameters to regex object self.stops = [OptionRegex(stop) if not isinstance(stop, OptionRegex) else stop for stop in self.stops] self.stops.sort(key=lambda x: x.weight) self.starts = [OptionRegex(start) if not isinstance(start, OptionRegex) else start for start in self.starts] self.starts.sort(key=lambda x: x.weight) self.options['template'] = Config.load_template(self.template_file) @staticmethod def load_template(template_file): # Load default template file if not template_file: dir_path = Path().absolute() template_file = dir_path.joinpath("dockupdater/templates/notification.j2") if Path(template_file).exists(): with open(template_file) as f: return f.read() else: raise AttributeError(f"Template file {template_file} not found")

38.305825

116

0.61285

import re from copy import deepcopy from logging import getLogger from os import environ from pathlib import Path from ..helpers.helpers import convert_to_boolean from .logger import BlacklistFilter OPTION_REGEX_PATTERN = r"^(?:weight:(?P<weight>\d+),)?(?P<regex>.*)$" DEFAULT_REGEX_WEIGHT = 100 MINIMUM_INTERVAL = 30 ENABLE_LABEL = "dockupdater.enable" DISABLE_LABEL = "dockupdater.disable" LABELS_MAPPING = { "dockupdater.latest": "latest", "dockupdater.notifiers": "notifiers", "dockupdater.stop_signal": "stop_signal", "dockupdater.cleanup": "cleanup", "dockupdater.template_file": "template_file", "dockupdater.wait": "wait", "dockupdater.recreate_first": "recreate_first", "dockupdater.starts": "starts", "dockupdater.stops": "stops", } class DefaultConfig(object): hostname = environ.get('HOSTNAME') interval = 300 cron = None docker_sockets = ['unix://var/run/docker.sock'] docker_tls = False docker_tls_verify = True log_level = 'info' cleanup = False run_once = False label = False stop_signal = None disable_containers_check = False disable_services_check = False latest = False wait = 0 recreate_first = False stops = [] starts = [] repo_user = None repo_pass = None notifiers = [] skip_start_notif = False template_file = None class OptionRegex(object): def __init__(self, pattern): match = re.fullmatch(OPTION_REGEX_PATTERN, pattern, re.IGNORECASE).groupdict() try: re.compile(match.get("regex")) self.regex = match.get("regex") except re.error: raise AttributeError("Invalid regex {} for option start or stop.".format(match.get("regex"))) self.weight = int(match.get("weight") or DEFAULT_REGEX_WEIGHT) self.tokens = None def match(self, name): regex = self.regex if self.tokens: for token, value in self.tokens.items(): if token and value: regex = regex.replace("{" + str(token) + "}", value) return bool(re.fullmatch(regex, name)) def __repr__(self): return f"<Option {self.regex}[{self.weight}]>" class Config(object): def __init__(self, **kwargs): super().__setattr__("options", kwargs) self.logger = getLogger() self.compute_args() self.filtered_strings = None @classmethod def from_labels(cls, config, labels): options = deepcopy(config.options) if labels: for label, value in labels.items(): if label in LABELS_MAPPING: if label in ["dockupdater.notifiers"]: options[LABELS_MAPPING[label]] = value.split(" ") elif label in ["dockupdater.latest", "dockupdater.cleanup"]: options[LABELS_MAPPING[label]] = convert_to_boolean(value) elif label in ["dockupdater.wait"]: options[LABELS_MAPPING[label]] = int(value) elif label in ["dockupdater.stops", "dockupdater.starts"]: options[LABELS_MAPPING[label]] = [OptionRegex(item) for item in value.split(" ")] else: options[LABELS_MAPPING[label]] = value if label == "dockupdater.template_file": options["template"] = Config.load_template(options.get('template_file')) elif label.startswith("dockupdater."): config.logger.warning("Warning label %s doesn't exist", label) return cls(**options) def __setattr__(self, key, value): if key in self.options: self.options[key] = value else: super().__setattr__(key, value) def __getattr__(self, attr): try: return self.options[attr] except KeyError: raise AttributeError def config_blacklist(self): filtered_strings = [ getattr(self, key.lower()) for key, value in self.options.items() if key.lower() in BlacklistFilter.blacklisted_keys ] # Clear None values self.filtered_strings = list(filter(None, filtered_strings)) # take lists inside of list and append to list for index, value in enumerate(self.filtered_strings, 0): if isinstance(value, list) or isinstance(value, tuple): self.filtered_strings.extend(self.filtered_strings.pop(index)) self.filtered_strings.insert(index, self.filtered_strings[-1:][0]) # Filter out no string item self.filtered_strings = [item for item in self.filtered_strings if isinstance(item, str)] # Added matching for ports ports = [string.split(':')[0] for string in self.filtered_strings if ':' in string] self.filtered_strings.extend(ports) # Added matching for tcp sockets. ConnectionPool ignores the tcp:// tcp_sockets = [string.split('//')[1] for string in self.filtered_strings if '//' in string] self.filtered_strings.extend(tcp_sockets) # Get JUST hostname from tcp//unix for socket in getattr(self, 'docker_sockets'): self.filtered_strings.append(socket.split('//')[1].split(':')[0]) for handler in self.logger.handlers: handler.addFilter(BlacklistFilter(set(self.filtered_strings))) def compute_args(self): if self.repo_user and self.repo_pass: self.options['auth_json'] = {'Username': self.repo_user, 'Password': self.repo_pass} else: self.options['auth_json'] = None if self.disable_containers_check and self.disable_services_check: raise AttributeError("Error you can't disable all monitoring (containers/services).") if self.cron: if not isinstance(self.cron, list): cron_times = self.cron.strip().split(' ') if len(cron_times) != 5: self.logger.critical("Cron must be in cron syntax. e.g. * * * * * (5 places).") raise AttributeError("Invalid cron") else: self.logger.info("Cron configuration is valid. Using Cron schedule %s", cron_times) self.cron = cron_times self.interval = None else: if self.interval < MINIMUM_INTERVAL: self.logger.warning('Minimum value for interval was 30 seconds.') self.interval = MINIMUM_INTERVAL self.stops = [OptionRegex(stop) if not isinstance(stop, OptionRegex) else stop for stop in self.stops] self.stops.sort(key=lambda x: x.weight) self.starts = [OptionRegex(start) if not isinstance(start, OptionRegex) else start for start in self.starts] self.starts.sort(key=lambda x: x.weight) self.options['template'] = Config.load_template(self.template_file) @staticmethod def load_template(template_file): if not template_file: dir_path = Path().absolute() template_file = dir_path.joinpath("dockupdater/templates/notification.j2") if Path(template_file).exists(): with open(template_file) as f: return f.read() else: raise AttributeError(f"Template file {template_file} not found")

true

f7f50da159ea586a20e7f2b05bf3de4efdd09183

865

py

Python

sited_py/lib/org_noear_siteder_dao_db_DbApi.py

wistn/sited_py

fbecf09f410bd2494a952383073956946d9df813

[ "Apache-2.0" ]

null

sited_py/lib/org_noear_siteder_dao_db_DbApi.py

wistn/sited_py

fbecf09f410bd2494a952383073956946d9df813

[ "Apache-2.0" ]

null

sited_py/lib/org_noear_siteder_dao_db_DbApi.py

wistn/sited_py

fbecf09f410bd2494a952383073956946d9df813

[ "Apache-2.0" ]

null

# -*- coding: UTF-8 -*- """ Author:wistn since:2020-06-11 LastEditors:Do not edit LastEditTime:2020-10-06 Description: """ class DbApi: @classmethod def isFaved(cls, book): return False @classmethod def logBID(cls, source, bookKey, bookUrl): # if ( # db.existsSQL('SELECT * from .books WHERE bkey=?', bookKey) == False # ) { # db.updateSQL( # 'INSERT INTO books(bkey,url,source) VALUES(?,?,?) ', # bookKey, # bookUrl, # source # ) pass @classmethod def getBID(cls, bookKey): # let bid = 0 # let dr = db.selectSQL('SELECT id from .books WHERE bkey=? ', bookKey) # if (dr.read()) { # bid = dr.getInt('id') # # dr.close() # return bid pass

22.763158

81

0.487861

class DbApi: @classmethod def isFaved(cls, book): return False @classmethod def logBID(cls, source, bookKey, bookUrl): pass @classmethod def getBID(cls, bookKey): pass

true

f7f50e51123eed9027284ef4bf9f78fd4b253fb6

16,078

py

Python

tests/test_leafmap.py

1tylermitchell/leafmap

9d5107758a85c407ea23c95df3c2bf97efda4d33

[ "MIT" ]

null

tests/test_leafmap.py

1tylermitchell/leafmap

9d5107758a85c407ea23c95df3c2bf97efda4d33

[ "MIT" ]

null

tests/test_leafmap.py

1tylermitchell/leafmap

9d5107758a85c407ea23c95df3c2bf97efda4d33

[ "MIT" ]

null

#!/usr/bin/env python """Tests for `leafmap` module.""" import os import unittest from leafmap import leafmap import geopandas as gpd from unittest.mock import patch class TestLeafmap(unittest.TestCase): """Tests for `leafmap` module.""" def setUp(self): """Set up test fixtures, if any.""" def tearDown(self): """Tear down test fixtures, if any.""" def test_add_basemap(self): """Check basemaps""" m = leafmap.Map() m.add_basemap("TERRAIN") out_str = m.to_html() assert "Google Terrain" in out_str # def test_add_cog_layer(self): # """Check COG layer""" # m = leafmap.Map() # url = "https://opendata.digitalglobe.com/events/california-fire-2020/pre-event/2018-02-16/pine-gulch-fire20/1030010076004E00.tif" # m.add_cog_layer(url, name="Fire (pre-event)") # out_str = m.to_html() # assert "Fire (pre-event)" in out_str # def test_add_cog_mosaic(self): # """Check COG mosaic""" # m = leafmap.Map() # links = [ # "https://opendata.digitalglobe.com/events/california-fire-2020/pre-event/2018-02-16/pine-gulch-fire20/1030010076004E00.tif", # "https://opendata.digitalglobe.com/events/california-fire-2020/pre-event/2018-08-18/pine-gulch-fire20/1040010041D3B300.tif", # ] # m.add_cog_mosaic(links, name="COG mosaic", attribution="MAXAR") # out_str = m.to_html() # assert "COG mosaic" in out_str # assert "MAXAR" in out_str def test_add_colorbar(self): """Check colorbar""" m = leafmap.Map() colors = ["006633", "E5FFCC", "662A00", "D8D8D8", "F5F5F5"] vmin = 0 vmax = 4000 m.add_colorbar(colors=colors, vmin=vmin, vmax=vmax, caption="Elevation") out_str = m.to_html() assert "Elevation" in out_str @patch("matplotlib.pyplot.show") def test_add_colormap(self, mock_show): """Check colormap""" m = leafmap.Map() m.add_colormap(cmap="gray", label="Elevation") out_str = m.to_html() assert "Elevation" in out_str def test_add_gdf(self): """Check GeoDataFrame""" m = leafmap.Map() gdf = gpd.read_file( "https://github.com/giswqs/leafmap/raw/master/examples/data/cable-geo.geojson" ) m.add_gdf(gdf, layer_name="Cable lines") out_str = m.to_html() assert "Cable lines" in out_str def test_add_gdf_from_postgis(self): """Check PostGIS""" m = leafmap.Map() try: con = leafmap.connect_postgis( database="nyc", host="localhost", user=None, password=None, use_env_var=True, ) sql = "SELECT * FROM nyc_neighborhoods" gdf = leafmap.read_postgis(sql, con) m.add_gdf(gdf, layer_name="NYC") m.add_gdf_from_postgis( sql, con, layer_name="NYC Neighborhoods", fill_colors=["red", "green", "blue"], ) out_str = m.to_html() assert "NYC Neighborhoods" in out_str except Exception as _: out_str = m.to_html() assert "NYC Neighborhoods" not in out_str def test_add_geojson(self): """Check GeoJSON""" m = leafmap.Map() in_geojson = "https://raw.githubusercontent.com/giswqs/leafmap/master/examples/data/cable-geo.geojson" m.add_geojson(in_geojson, layer_name="Cable lines") out_str = m.to_html() assert "Cable lines" in out_str def test_add_heatmap(self): """Check heat map""" m = leafmap.Map() in_csv = "https://raw.githubusercontent.com/giswqs/leafmap/master/examples/data/world_cities.csv" m.add_heatmap( in_csv, latitude="latitude", longitude="longitude", value="pop_max", name="Heat map", radius=20, ) out_str = m.to_html() assert "Heat map" in out_str def test_add_kml(self): """Check KML""" m = leafmap.Map() in_kml = "https://raw.githubusercontent.com/giswqs/leafmap/master/examples/data/us-states.kml" m.add_kml(in_kml, layer_name="US States KML") out_str = m.to_html() assert "US States KML" in out_str def test_add_legend(self): """Check legend""" m = leafmap.Map() url = ( "https://www.mrlc.gov/geoserver/mrlc_display/NLCD_2016_Land_Cover_L48/wms?" ) m.add_wms_layer( url, layers="NLCD_2016_Land_Cover_L48", name="NLCD 2016 CONUS Land Cover", format="image/png", transparent=True, ) m.add_legend(builtin_legend="NLCD") out_str = m.to_html() assert "NLCD" in out_str def test_add_marker_cluster(self): """Check marker cluster""" m = leafmap.Map() m.add_marker_cluster() out_str = m.to_html() assert "Marker Cluster" in out_str def test_add_minimap(self): """Check minimap""" m = leafmap.Map() m.add_minimap() out_str = m.to_html() assert "150px" in out_str def test_add_osm_from_address(self): """Check OSM data from address""" m = leafmap.Map() m.add_osm_from_address( address="New York City", tags={"amenity": "bar"}, dist=1500, layer_name="NYC bars", ) out_str = m.to_html() assert "NYC bars" in out_str def test_add_osm_from_bbox(self): """Check OSM data from bbox""" m = leafmap.Map() north, south, east, west = 40.7551, 40.7454, -73.9738, -73.9965 m.add_osm_from_bbox( north, south, east, west, tags={"amenity": "bar"}, layer_name="NYC bars" ) out_str = m.to_html() assert "NYC bars" in out_str def test_add_osm_from_geocode(self): """Check OSM data from geocode""" m = leafmap.Map() m.add_osm_from_geocode("New York City", layer_name="NYC") out_str = m.to_html() assert "NYC" in out_str def test_add_osm_from_place(self): """Check OSM data from place""" m = leafmap.Map() place = "Bunker Hill, Los Angeles, California" tags = {"building": True} m.add_osm_from_place(place, tags, layer_name="Los Angeles, CA") out_str = m.to_html() assert "Los Angeles, CA" in out_str def test_add_osm_from_point(self): """Check OSM data from point""" m = leafmap.Map() m.add_osm_from_point( center_point=(46.7808, -96.0156), tags={"natural": "water"}, dist=10000, layer_name="Lakes", ) out_str = m.to_html() assert "Lakes" in out_str def test_add_osm_from_polygon(self): """Check OSM data from polygon""" from shapely.geometry import Polygon m = leafmap.Map() polygon = Polygon( [ [-73.996784, 40.725046], [-73.996784, 40.734282], [-73.983052, 40.734282], [-73.983052, 40.725046], [-73.996784, 40.725046], ] ) tags = {"building": True} m.add_osm_from_polygon(polygon, tags, layer_name="NYC Buildings") out_str = m.to_html() assert "NYC Buildings" in out_str def test_add_osm_from_view(self): """Check OSM data from view""" m = leafmap.Map() m.add_osm_from_view(tags={"building": True}, layer_name="NYC buildings") out_str = m.to_html() assert "NYC buildings" in out_str def test_add_planet_by_month(self): """Check Planet monthly imagery""" m = leafmap.Map() m.add_planet_by_month(year=2020, month=8) out_str = m.to_html() assert "Planet_2020_08" in out_str def test_add_planet_by_quarter(self): """Check Planet quarterly imagery""" m = leafmap.Map() m.add_planet_by_quarter(year=2019, quarter=2) out_str = m.to_html() assert "Planet_2019_q2" in out_str def test_add_point_layer(self): """Check adding point layer""" m = leafmap.Map() url = "https://raw.githubusercontent.com/giswqs/leafmap/master/examples/data/us_cities.geojson" m.add_point_layer(url, popup=["name", "pop_max"], layer_name="US Cities") out_str = m.to_html() assert "US Cities" in out_str def test_add_raster(self): """Check loading raster data""" m = leafmap.Map() landsat_url = "https://drive.google.com/file/d/1vRkAWQYsLWCi6vcTMk8vLxoXMFbdMFn8/view?usp=sharing" leafmap.download_from_gdrive(landsat_url, "dem.tif", unzip=False) m.add_raster("dem.tif", colormap="terrain", layer_name="DEM") out_str = m.to_html() assert "DEM" in out_str def test_add_shp(self): """Check adding shapefile""" m = leafmap.Map() in_shp = ( "https://github.com/giswqs/leafmap/raw/master/examples/data/countries.zip" ) m.add_shp(in_shp, layer_name="Countries") out_str = m.to_html() assert "Countries" in out_str def test_add_stac_layer(self): """Check adding STAC layer""" m = leafmap.Map() url = "https://canada-spot-ortho.s3.amazonaws.com/canada_spot_orthoimages/canada_spot5_orthoimages/S5_2007/S5_11055_6057_20070622/S5_11055_6057_20070622.json" m.add_stac_layer(url, bands=["B3", "B2", "B1"], name="False color") out_str = m.to_html() assert "False color" in out_str def test_add_tile_layer(self): """Check adding tile layer""" m = leafmap.Map() m.add_tile_layer( url="https://mt1.google.com/vt/lyrs=y&x={x}&y={y}&z={z}", name="Google Satellite", attribution="Google", ) out_str = m.to_html() assert "Google Satellite" in out_str def test_add_time_slider(self): """Check adding time slider""" m = leafmap.Map() layers_dict = leafmap.planet_quarterly_tiles() m.add_time_slider(layers_dict, time_interval=1) out_str = m.to_html() assert "Planet_2019_q2" in out_str def test_add_vector(self): """Check adding vector""" m = leafmap.Map() url = "https://raw.githubusercontent.com/giswqs/leafmap/master/examples/data/countries.geojson" m.add_vector( url, layer_name="Countries", fill_colors=["red", "yellow", "green", "orange"], ) out_str = m.to_html() assert "Countries" in out_str def test_add_vector_tile_layer(self): """Check adding vector tile layer""" m = leafmap.Map() url = "https://tile.nextzen.org/tilezen/vector/v1/512/all/{z}/{x}/{y}.mvt?api_key=gCZXZglvRQa6sB2z7JzL1w" attribution = "Nextzen" m.add_vector_tile_layer(url, attribution) out_str = m.to_html() assert "Nextzen" in out_str def test_add_wms_layer(self): """Check adding WMS layer""" m = leafmap.Map() naip_url = "https://services.nationalmap.gov/arcgis/services/USGSNAIPImagery/ImageServer/WMSServer?" m.add_wms_layer( url=naip_url, layers="0", name="NAIP Imagery", format="image/png", shown=True, ) out_str = m.to_html() assert "NAIP Imagery" in out_str def test_add_xy_data(self): """Check adding xy data""" m = leafmap.Map() in_csv = ( "https://raw.githubusercontent.com/giswqs/data/main/world/world_cities.csv" ) m.add_xy_data(in_csv, x="longitude", y="latitude", layer_name="World Cities") out_str = m.to_html() assert "World Cities" in out_str def test_basemap_demo(self): """Check basemap demo""" m = leafmap.Map() m.basemap_demo() out_str = m.to_html() assert "Basemaps" in out_str def test_find_layer(self): """Check finding layer""" m = leafmap.Map() self.assertIsNone(m.find_layer("HYBRID")) self.assertIsNotNone(m.find_layer("Google Maps")) def test_find_layer_index(self): """Check finding layer index""" m = leafmap.Map() self.assertEqual(m.find_layer_index("Google Maps"), 1) def test_get_layer_names(self): """Check getting layer names""" m = leafmap.Map() assert "Google Maps" in m.get_layer_names() def test_get_scale(self): """Check getting scale""" m = leafmap.Map() self.assertEqual(m.get_scale(), 9783.94) def test_image_overlay(self): """Check image overlay""" m = leafmap.Map() url = "https://www.mrlc.gov/sites/default/files/NLCD_Colour_Classification_Update.jpg" bounds = [(28, -128), (35, -123)] m.image_overlay(url=url, bounds=bounds, name="NLCD legend") out_str = m.to_html() assert "NLCD legend" in out_str def test_layer_opacity(self): """Check layer opacity""" m = leafmap.Map() m.layer_opacity("Google Maps", 0.5) layer = m.find_layer("Google Maps") self.assertEqual(layer.opacity, 0.5) def test_set_center(self): """Check set map center""" m = leafmap.Map() m.set_center(lon=100, lat=40) self.assertEqual(m.center, [40, 100]) def test_split_map(self): """Check split-panel map""" m = leafmap.Map() m.split_map(left_layer="HYBRID", right_layer="ESRI") out_str = m.to_html() assert "ESRI" in out_str def test_to_html(self): """Check map to html""" m = leafmap.Map() out_str = m.to_html() assert "Google Maps" in out_str # def test_to_image(self): # """Check map to image""" # m = leafmap.Map() # out_file = os.path.abspath("map.png") # m.to_image(out_file) # self.assertTrue(os.path.exists(out_file)) def test_toolbar_reset(self): """Check toolbar reset""" m = leafmap.Map() m.toolbar_reset() toolbar_grid = m.toolbar for tool in toolbar_grid.children: self.assertFalse(tool.value) def test_video_overlay(self): """Check video overlay""" m = leafmap.Map() url = "https://www.mapbox.com/bites/00188/patricia_nasa.webm" bounds = [(13, -130), (32, -100)] m.video_overlay(url=url, bounds=bounds, name="Video") out_str = m.to_html() assert "Video" in out_str def test_zoom_to_bounds(self): """Check zoom to bounds""" m = leafmap.Map() bounds = [13, -130, 32, -100] m.zoom_to_bounds(bounds) out_str = m.to_html() assert "Google Maps" in out_str def test_zoom_to_gdf(self): """Check zoom to GeoDataFrame""" m = leafmap.Map() gdf = gpd.read_file( "https://github.com/giswqs/leafmap/raw/master/examples/data/cable-geo.geojson" ) m.zoom_to_gdf(gdf) out_str = m.to_html() assert "Google Maps" in out_str def test_leafmap_split_map(self): """Check split-panel map""" m = leafmap.split_map(left_layer="ROADMAP", right_layer="HYBRID") out_str = m.to_html() assert "Google Maps" in out_str def test_linked_maps(self): """Check linked maps""" layers = ["ROADMAP", "HYBRID"] m = leafmap.linked_maps(rows=1, cols=2, height="400px", layers=layers) self.assertEqual(m.n_rows, 1) self.assertEqual(m.n_columns, 2) # def test_basemap_tiles(self): # self.assertIsInstance(leafmap.basemap_tiles.to_dict(), dict) if __name__ == "__main__": unittest.main()

33.426195

166

0.581851

import os import unittest from leafmap import leafmap import geopandas as gpd from unittest.mock import patch class TestLeafmap(unittest.TestCase): def setUp(self): def tearDown(self): def test_add_basemap(self): m = leafmap.Map() m.add_basemap("TERRAIN") out_str = m.to_html() assert "Google Terrain" in out_str def test_add_colorbar(self): m = leafmap.Map() colors = ["006633", "E5FFCC", "662A00", "D8D8D8", "F5F5F5"] vmin = 0 vmax = 4000 m.add_colorbar(colors=colors, vmin=vmin, vmax=vmax, caption="Elevation") out_str = m.to_html() assert "Elevation" in out_str @patch("matplotlib.pyplot.show") def test_add_colormap(self, mock_show): m = leafmap.Map() m.add_colormap(cmap="gray", label="Elevation") out_str = m.to_html() assert "Elevation" in out_str def test_add_gdf(self): m = leafmap.Map() gdf = gpd.read_file( "https://github.com/giswqs/leafmap/raw/master/examples/data/cable-geo.geojson" ) m.add_gdf(gdf, layer_name="Cable lines") out_str = m.to_html() assert "Cable lines" in out_str def test_add_gdf_from_postgis(self): m = leafmap.Map() try: con = leafmap.connect_postgis( database="nyc", host="localhost", user=None, password=None, use_env_var=True, ) sql = "SELECT * FROM nyc_neighborhoods" gdf = leafmap.read_postgis(sql, con) m.add_gdf(gdf, layer_name="NYC") m.add_gdf_from_postgis( sql, con, layer_name="NYC Neighborhoods", fill_colors=["red", "green", "blue"], ) out_str = m.to_html() assert "NYC Neighborhoods" in out_str except Exception as _: out_str = m.to_html() assert "NYC Neighborhoods" not in out_str def test_add_geojson(self): m = leafmap.Map() in_geojson = "https://raw.githubusercontent.com/giswqs/leafmap/master/examples/data/cable-geo.geojson" m.add_geojson(in_geojson, layer_name="Cable lines") out_str = m.to_html() assert "Cable lines" in out_str def test_add_heatmap(self): m = leafmap.Map() in_csv = "https://raw.githubusercontent.com/giswqs/leafmap/master/examples/data/world_cities.csv" m.add_heatmap( in_csv, latitude="latitude", longitude="longitude", value="pop_max", name="Heat map", radius=20, ) out_str = m.to_html() assert "Heat map" in out_str def test_add_kml(self): m = leafmap.Map() in_kml = "https://raw.githubusercontent.com/giswqs/leafmap/master/examples/data/us-states.kml" m.add_kml(in_kml, layer_name="US States KML") out_str = m.to_html() assert "US States KML" in out_str def test_add_legend(self): m = leafmap.Map() url = ( "https://www.mrlc.gov/geoserver/mrlc_display/NLCD_2016_Land_Cover_L48/wms?" ) m.add_wms_layer( url, layers="NLCD_2016_Land_Cover_L48", name="NLCD 2016 CONUS Land Cover", format="image/png", transparent=True, ) m.add_legend(builtin_legend="NLCD") out_str = m.to_html() assert "NLCD" in out_str def test_add_marker_cluster(self): m = leafmap.Map() m.add_marker_cluster() out_str = m.to_html() assert "Marker Cluster" in out_str def test_add_minimap(self): m = leafmap.Map() m.add_minimap() out_str = m.to_html() assert "150px" in out_str def test_add_osm_from_address(self): m = leafmap.Map() m.add_osm_from_address( address="New York City", tags={"amenity": "bar"}, dist=1500, layer_name="NYC bars", ) out_str = m.to_html() assert "NYC bars" in out_str def test_add_osm_from_bbox(self): m = leafmap.Map() north, south, east, west = 40.7551, 40.7454, -73.9738, -73.9965 m.add_osm_from_bbox( north, south, east, west, tags={"amenity": "bar"}, layer_name="NYC bars" ) out_str = m.to_html() assert "NYC bars" in out_str def test_add_osm_from_geocode(self): m = leafmap.Map() m.add_osm_from_geocode("New York City", layer_name="NYC") out_str = m.to_html() assert "NYC" in out_str def test_add_osm_from_place(self): m = leafmap.Map() place = "Bunker Hill, Los Angeles, California" tags = {"building": True} m.add_osm_from_place(place, tags, layer_name="Los Angeles, CA") out_str = m.to_html() assert "Los Angeles, CA" in out_str def test_add_osm_from_point(self): m = leafmap.Map() m.add_osm_from_point( center_point=(46.7808, -96.0156), tags={"natural": "water"}, dist=10000, layer_name="Lakes", ) out_str = m.to_html() assert "Lakes" in out_str def test_add_osm_from_polygon(self): from shapely.geometry import Polygon m = leafmap.Map() polygon = Polygon( [ [-73.996784, 40.725046], [-73.996784, 40.734282], [-73.983052, 40.734282], [-73.983052, 40.725046], [-73.996784, 40.725046], ] ) tags = {"building": True} m.add_osm_from_polygon(polygon, tags, layer_name="NYC Buildings") out_str = m.to_html() assert "NYC Buildings" in out_str def test_add_osm_from_view(self): m = leafmap.Map() m.add_osm_from_view(tags={"building": True}, layer_name="NYC buildings") out_str = m.to_html() assert "NYC buildings" in out_str def test_add_planet_by_month(self): m = leafmap.Map() m.add_planet_by_month(year=2020, month=8) out_str = m.to_html() assert "Planet_2020_08" in out_str def test_add_planet_by_quarter(self): m = leafmap.Map() m.add_planet_by_quarter(year=2019, quarter=2) out_str = m.to_html() assert "Planet_2019_q2" in out_str def test_add_point_layer(self): m = leafmap.Map() url = "https://raw.githubusercontent.com/giswqs/leafmap/master/examples/data/us_cities.geojson" m.add_point_layer(url, popup=["name", "pop_max"], layer_name="US Cities") out_str = m.to_html() assert "US Cities" in out_str def test_add_raster(self): m = leafmap.Map() landsat_url = "https://drive.google.com/file/d/1vRkAWQYsLWCi6vcTMk8vLxoXMFbdMFn8/view?usp=sharing" leafmap.download_from_gdrive(landsat_url, "dem.tif", unzip=False) m.add_raster("dem.tif", colormap="terrain", layer_name="DEM") out_str = m.to_html() assert "DEM" in out_str def test_add_shp(self): m = leafmap.Map() in_shp = ( "https://github.com/giswqs/leafmap/raw/master/examples/data/countries.zip" ) m.add_shp(in_shp, layer_name="Countries") out_str = m.to_html() assert "Countries" in out_str def test_add_stac_layer(self): m = leafmap.Map() url = "https://canada-spot-ortho.s3.amazonaws.com/canada_spot_orthoimages/canada_spot5_orthoimages/S5_2007/S5_11055_6057_20070622/S5_11055_6057_20070622.json" m.add_stac_layer(url, bands=["B3", "B2", "B1"], name="False color") out_str = m.to_html() assert "False color" in out_str def test_add_tile_layer(self): m = leafmap.Map() m.add_tile_layer( url="https://mt1.google.com/vt/lyrs=y&x={x}&y={y}&z={z}", name="Google Satellite", attribution="Google", ) out_str = m.to_html() assert "Google Satellite" in out_str def test_add_time_slider(self): m = leafmap.Map() layers_dict = leafmap.planet_quarterly_tiles() m.add_time_slider(layers_dict, time_interval=1) out_str = m.to_html() assert "Planet_2019_q2" in out_str def test_add_vector(self): m = leafmap.Map() url = "https://raw.githubusercontent.com/giswqs/leafmap/master/examples/data/countries.geojson" m.add_vector( url, layer_name="Countries", fill_colors=["red", "yellow", "green", "orange"], ) out_str = m.to_html() assert "Countries" in out_str def test_add_vector_tile_layer(self): m = leafmap.Map() url = "https://tile.nextzen.org/tilezen/vector/v1/512/all/{z}/{x}/{y}.mvt?api_key=gCZXZglvRQa6sB2z7JzL1w" attribution = "Nextzen" m.add_vector_tile_layer(url, attribution) out_str = m.to_html() assert "Nextzen" in out_str def test_add_wms_layer(self): m = leafmap.Map() naip_url = "https://services.nationalmap.gov/arcgis/services/USGSNAIPImagery/ImageServer/WMSServer?" m.add_wms_layer( url=naip_url, layers="0", name="NAIP Imagery", format="image/png", shown=True, ) out_str = m.to_html() assert "NAIP Imagery" in out_str def test_add_xy_data(self): m = leafmap.Map() in_csv = ( "https://raw.githubusercontent.com/giswqs/data/main/world/world_cities.csv" ) m.add_xy_data(in_csv, x="longitude", y="latitude", layer_name="World Cities") out_str = m.to_html() assert "World Cities" in out_str def test_basemap_demo(self): m = leafmap.Map() m.basemap_demo() out_str = m.to_html() assert "Basemaps" in out_str def test_find_layer(self): m = leafmap.Map() self.assertIsNone(m.find_layer("HYBRID")) self.assertIsNotNone(m.find_layer("Google Maps")) def test_find_layer_index(self): m = leafmap.Map() self.assertEqual(m.find_layer_index("Google Maps"), 1) def test_get_layer_names(self): m = leafmap.Map() assert "Google Maps" in m.get_layer_names() def test_get_scale(self): m = leafmap.Map() self.assertEqual(m.get_scale(), 9783.94) def test_image_overlay(self): m = leafmap.Map() url = "https://www.mrlc.gov/sites/default/files/NLCD_Colour_Classification_Update.jpg" bounds = [(28, -128), (35, -123)] m.image_overlay(url=url, bounds=bounds, name="NLCD legend") out_str = m.to_html() assert "NLCD legend" in out_str def test_layer_opacity(self): m = leafmap.Map() m.layer_opacity("Google Maps", 0.5) layer = m.find_layer("Google Maps") self.assertEqual(layer.opacity, 0.5) def test_set_center(self): m = leafmap.Map() m.set_center(lon=100, lat=40) self.assertEqual(m.center, [40, 100]) def test_split_map(self): m = leafmap.Map() m.split_map(left_layer="HYBRID", right_layer="ESRI") out_str = m.to_html() assert "ESRI" in out_str def test_to_html(self): m = leafmap.Map() out_str = m.to_html() assert "Google Maps" in out_str def test_toolbar_reset(self): m = leafmap.Map() m.toolbar_reset() toolbar_grid = m.toolbar for tool in toolbar_grid.children: self.assertFalse(tool.value) def test_video_overlay(self): m = leafmap.Map() url = "https://www.mapbox.com/bites/00188/patricia_nasa.webm" bounds = [(13, -130), (32, -100)] m.video_overlay(url=url, bounds=bounds, name="Video") out_str = m.to_html() assert "Video" in out_str def test_zoom_to_bounds(self): m = leafmap.Map() bounds = [13, -130, 32, -100] m.zoom_to_bounds(bounds) out_str = m.to_html() assert "Google Maps" in out_str def test_zoom_to_gdf(self): m = leafmap.Map() gdf = gpd.read_file( "https://github.com/giswqs/leafmap/raw/master/examples/data/cable-geo.geojson" ) m.zoom_to_gdf(gdf) out_str = m.to_html() assert "Google Maps" in out_str def test_leafmap_split_map(self): m = leafmap.split_map(left_layer="ROADMAP", right_layer="HYBRID") out_str = m.to_html() assert "Google Maps" in out_str def test_linked_maps(self): layers = ["ROADMAP", "HYBRID"] m = leafmap.linked_maps(rows=1, cols=2, height="400px", layers=layers) self.assertEqual(m.n_rows, 1) self.assertEqual(m.n_columns, 2) if __name__ == "__main__": unittest.main()

true

f7f50e7055d5b6f3f0c8269186a5c673279e5136

11,839

py

Python

custom_components/deepstack_face/image_processing.py

Hoellenwesen/HASS-Deepstack-face

5ca4a75ec7aab092124edf77aa692c78bedb2a96

[ "MIT" ]

null

custom_components/deepstack_face/image_processing.py

Hoellenwesen/HASS-Deepstack-face

5ca4a75ec7aab092124edf77aa692c78bedb2a96

[ "MIT" ]

null

custom_components/deepstack_face/image_processing.py

Hoellenwesen/HASS-Deepstack-face

5ca4a75ec7aab092124edf77aa692c78bedb2a96

[ "MIT" ]

null

""" Component that will perform facial recognition via deepstack. For more details about this platform, please refer to the documentation at https://home-assistant.io/components/image_processing.deepstack_face """ import io import logging import re import time from pathlib import Path import requests from PIL import Image, ImageDraw import deepstack.core as ds import homeassistant.helpers.config_validation as cv from homeassistant.util.pil import draw_box import homeassistant.util.dt as dt_util import voluptuous as vol from homeassistant.components.image_processing import ( ATTR_CONFIDENCE, CONF_ENTITY_ID, CONF_NAME, CONF_SOURCE, PLATFORM_SCHEMA, ImageProcessingFaceEntity, ) from homeassistant.const import ( ATTR_ENTITY_ID, ATTR_NAME, CONF_IP_ADDRESS, CONF_PORT, ) from homeassistant.core import split_entity_id _LOGGER = logging.getLogger(__name__) # rgb(red, green, blue) RED = (255, 0, 0) # For objects within the ROI YELLOW = (255,255,0) GREEN = (34,139,34) BLUE = (0,0,255) CONF_API_KEY = "api_key" CONF_TIMEOUT = "timeout" CONF_DETECT_ONLY = "detect_only" CONF_SAVE_FILE_FOLDER = "save_file_folder" CONF_SAVE_TIMESTAMPTED_FILE = "save_timestamped_file" CONF_SAVE_FACES_FOLDER = "save_faces_folder" CONF_SAVE_FACES = "save_faces" CONF_SHOW_BOXES = "show_boxes" CONF_BOX_COLOR = "box_color" DATETIME_FORMAT = "%Y-%m-%d_%H-%M-%S" DEFAULT_API_KEY = "" DEFAULT_TIMEOUT = 10 DOMAIN = "deepstack_face" CLASSIFIER = "deepstack_face" DATA_DEEPSTACK = "deepstack_classifiers" FILE_PATH = "file_path" SERVICE_TEACH_FACE = "teach_face" PLATFORM_SCHEMA = PLATFORM_SCHEMA.extend( { vol.Required(CONF_IP_ADDRESS): cv.string, vol.Required(CONF_PORT): cv.port, vol.Optional(CONF_API_KEY, default=DEFAULT_API_KEY): cv.string, vol.Optional(CONF_TIMEOUT, default=DEFAULT_TIMEOUT): cv.positive_int, vol.Optional(CONF_DETECT_ONLY, default=False): cv.boolean, vol.Optional(CONF_SAVE_FILE_FOLDER): cv.isdir, vol.Optional(CONF_SAVE_TIMESTAMPTED_FILE, default=False): cv.boolean, vol.Optional(CONF_SAVE_FACES_FOLDER): cv.isdir, vol.Optional(CONF_SAVE_FACES, default=False): cv.boolean, vol.Optional(CONF_SHOW_BOXES, default=True): cv.boolean, vol.Optional(CONF_BOX_COLOR, default=RED): cv.string, } ) SERVICE_TEACH_SCHEMA = vol.Schema( { vol.Optional(ATTR_ENTITY_ID): cv.entity_ids, vol.Required(ATTR_NAME): cv.string, vol.Required(FILE_PATH): cv.string, } ) def get_valid_filename(name: str) -> str: return re.sub(r"(?u)[^-\w.]", "", str(name).strip().replace(" ", "_")) def get_faces(predictions: list, img_width: int, img_height: int): """Return faces with formatting for annotating images.""" faces = [] decimal_places = 3 for pred in predictions: if not "userid" in pred.keys(): name = "unknown" else: name = pred["userid"] confidence = round(pred["confidence"] * 100, decimal_places) box_width = pred["x_max"] - pred["x_min"] box_height = pred["y_max"] - pred["y_min"] box = { "height": round(box_height / img_height, decimal_places), "width": round(box_width / img_width, decimal_places), "y_min": round(pred["y_min"] / img_height, decimal_places), "x_min": round(pred["x_min"] / img_width, decimal_places), "y_max": round(pred["y_max"] / img_height, decimal_places), "x_max": round(pred["x_max"] / img_width, decimal_places), } faces.append( {"name": name, "confidence": confidence, "bounding_box": box, "prediction": pred} ) return faces def setup_platform(hass, config, add_devices, discovery_info=None): """Set up the classifier.""" if DATA_DEEPSTACK not in hass.data: hass.data[DATA_DEEPSTACK] = [] save_file_folder = config.get(CONF_SAVE_FILE_FOLDER) if save_file_folder: save_file_folder = Path(save_file_folder) save_faces_folder = config.get(CONF_SAVE_FACES_FOLDER) if save_faces_folder: save_faces_folder = Path(save_faces_folder) entities = [] for camera in config[CONF_SOURCE]: face_entity = FaceClassifyEntity( config[CONF_IP_ADDRESS], config[CONF_PORT], config.get(CONF_API_KEY), config.get(CONF_TIMEOUT), config.get(CONF_DETECT_ONLY), save_file_folder, config.get(CONF_SAVE_TIMESTAMPTED_FILE), save_faces_folder, config.get(CONF_SAVE_FACES), config[CONF_SHOW_BOXES], config.get(CONF_BOX_COLOR), camera[CONF_ENTITY_ID], camera.get(CONF_NAME), ) entities.append(face_entity) hass.data[DATA_DEEPSTACK].append(face_entity) add_devices(entities) def service_handle(service): """Handle for services.""" entity_ids = service.data.get("entity_id") classifiers = hass.data[DATA_DEEPSTACK] if entity_ids: classifiers = [c for c in classifiers if c.entity_id in entity_ids] for classifier in classifiers: name = service.data.get(ATTR_NAME) file_path = service.data.get(FILE_PATH) classifier.teach(name, file_path) hass.services.register( DOMAIN, SERVICE_TEACH_FACE, service_handle, schema=SERVICE_TEACH_SCHEMA ) class FaceClassifyEntity(ImageProcessingFaceEntity): """Perform a face classification.""" def __init__( self, ip_address, port, api_key, timeout, detect_only, save_file_folder, save_timestamped_file, save_faces_folder, save_faces, show_boxes, box_color, camera_entity, name=None, ): """Init with the API key and model id.""" super().__init__() self._dsface = ds.DeepstackFace( ip=ip_address, port=port, api_key=api_key, timeout=timeout ) self._detect_only = detect_only self._show_boxes = show_boxes self._box_color = box_color self._last_detection = None self._save_file_folder = save_file_folder self._save_timestamped_file = save_timestamped_file self._save_faces_folder = save_faces_folder self._save_faces = save_faces self._camera = camera_entity if name: self._name = name else: camera_name = split_entity_id(camera_entity)[1] self._name = "{} {}".format(CLASSIFIER, camera_name) self._predictions = [] self._matched = {} self.total_faces = None def process_image(self, image): """Process an image, comes in as bytes.""" self._predictions = [] self._matched = {} self.total_faces = None try: pil_image = Image.open(io.BytesIO(bytearray(image))).convert("RGB") except UnidentifiedImageError: _LOGGER.warning("Deepstack unable to process image, bad data") return image_width, image_height = pil_image.size try: if self._detect_only: self._predictions = self._dsface.detect(image) else: self._predictions = self._dsface.recognize(image) except ds.DeepstackException as exc: _LOGGER.error("Depstack error : %s", exc) return if len(self._predictions) > 0: self._last_detection = dt_util.now().strftime(DATETIME_FORMAT) self.total_faces = len(self._predictions) self._matched = ds.get_recognized_faces(self._predictions) self.faces = get_faces(self._predictions, image_width, image_height) self.process_faces( self.faces, self.total_faces, ) # fire image_processing.detect_face if not self._detect_only: if self._save_faces and self._save_faces_folder: self.save_faces( pil_image, self._save_faces_folder ) if self._save_file_folder: self.save_image( pil_image, self._save_file_folder, ) else: self.total_faces = None self._matched = {} def teach(self, name: str, file_path: str): """Teach classifier a face name.""" if not self.hass.config.is_allowed_path(file_path): return with open(file_path, "rb") as image: self._dsface.register(name, image) _LOGGER.info("Depstack face taught name : %s", name) event_data = { "person_name": name, "file_path": file_path, } self.hass.bus.async_fire(f"{DOMAIN}_teach_face", event_data) @property def camera_entity(self): """Return camera entity id from process pictures.""" return self._camera @property def name(self): """Return the name of the sensor.""" return self._name @property def state(self): """Ensure consistent state.""" return self.total_faces @property def should_poll(self): """Return the polling state.""" return False @property def force_update(self): """Force update to fire state events even if state has not changed.""" return True @property def extra_state_attributes(self): """Return the classifier attributes.""" attr = {} if self._detect_only: attr[CONF_DETECT_ONLY] = self._detect_only if not self._detect_only: attr["total_matched_faces"] = len(self._matched) attr["matched_faces"] = self._matched if self._last_detection: attr["last_detection"] = self._last_detection return attr def save_faces(self, pil_image: Image, directory: Path): """Saves recognized faces.""" for face in self.faces: box = face["prediction"] name = face["name"] confidence = face["confidence"] face_name = face["name"] cropped_image = pil_image.crop( (box["x_min"], box["y_min"], box["x_max"], box["y_max"]) ) timestamp_save_path = directory / f"{face_name}_{confidence:.1f}_{self._last_detection}.jpg" cropped_image.save(timestamp_save_path) _LOGGER.info("Deepstack saved face %s", timestamp_save_path) def save_image(self, pil_image: Image, directory: Path): """Draws the actual bounding box of the detected objects.""" image_width, image_height = pil_image.size draw = ImageDraw.Draw(pil_image) for face in self.faces: if not self._show_boxes: break name = face["name"] confidence = face["confidence"] box = face["bounding_box"] box_label = f"{name}: {confidence:.1f}%" box_color = self._box_color draw_box( draw, (box["y_min"], box["x_min"], box["y_max"], box["x_max"]), image_width, image_height, text=box_label, color=box_color.upper(), ) latest_save_path = ( directory / f"{get_valid_filename(self._name).lower()}_latest.jpg" ) pil_image.save(latest_save_path) if self._save_timestamped_file: timestamp_save_path = directory / f"{self._name}_{self._last_detection}.jpg" pil_image.save(timestamp_save_path) _LOGGER.info("Deepstack saved file %s", timestamp_save_path)

32.70442

104

0.62235

import io import logging import re import time from pathlib import Path import requests from PIL import Image, ImageDraw import deepstack.core as ds import homeassistant.helpers.config_validation as cv from homeassistant.util.pil import draw_box import homeassistant.util.dt as dt_util import voluptuous as vol from homeassistant.components.image_processing import ( ATTR_CONFIDENCE, CONF_ENTITY_ID, CONF_NAME, CONF_SOURCE, PLATFORM_SCHEMA, ImageProcessingFaceEntity, ) from homeassistant.const import ( ATTR_ENTITY_ID, ATTR_NAME, CONF_IP_ADDRESS, CONF_PORT, ) from homeassistant.core import split_entity_id _LOGGER = logging.getLogger(__name__) RED = (255, 0, 0) YELLOW = (255,255,0) GREEN = (34,139,34) BLUE = (0,0,255) CONF_API_KEY = "api_key" CONF_TIMEOUT = "timeout" CONF_DETECT_ONLY = "detect_only" CONF_SAVE_FILE_FOLDER = "save_file_folder" CONF_SAVE_TIMESTAMPTED_FILE = "save_timestamped_file" CONF_SAVE_FACES_FOLDER = "save_faces_folder" CONF_SAVE_FACES = "save_faces" CONF_SHOW_BOXES = "show_boxes" CONF_BOX_COLOR = "box_color" DATETIME_FORMAT = "%Y-%m-%d_%H-%M-%S" DEFAULT_API_KEY = "" DEFAULT_TIMEOUT = 10 DOMAIN = "deepstack_face" CLASSIFIER = "deepstack_face" DATA_DEEPSTACK = "deepstack_classifiers" FILE_PATH = "file_path" SERVICE_TEACH_FACE = "teach_face" PLATFORM_SCHEMA = PLATFORM_SCHEMA.extend( { vol.Required(CONF_IP_ADDRESS): cv.string, vol.Required(CONF_PORT): cv.port, vol.Optional(CONF_API_KEY, default=DEFAULT_API_KEY): cv.string, vol.Optional(CONF_TIMEOUT, default=DEFAULT_TIMEOUT): cv.positive_int, vol.Optional(CONF_DETECT_ONLY, default=False): cv.boolean, vol.Optional(CONF_SAVE_FILE_FOLDER): cv.isdir, vol.Optional(CONF_SAVE_TIMESTAMPTED_FILE, default=False): cv.boolean, vol.Optional(CONF_SAVE_FACES_FOLDER): cv.isdir, vol.Optional(CONF_SAVE_FACES, default=False): cv.boolean, vol.Optional(CONF_SHOW_BOXES, default=True): cv.boolean, vol.Optional(CONF_BOX_COLOR, default=RED): cv.string, } ) SERVICE_TEACH_SCHEMA = vol.Schema( { vol.Optional(ATTR_ENTITY_ID): cv.entity_ids, vol.Required(ATTR_NAME): cv.string, vol.Required(FILE_PATH): cv.string, } ) def get_valid_filename(name: str) -> str: return re.sub(r"(?u)[^-\w.]", "", str(name).strip().replace(" ", "_")) def get_faces(predictions: list, img_width: int, img_height: int): faces = [] decimal_places = 3 for pred in predictions: if not "userid" in pred.keys(): name = "unknown" else: name = pred["userid"] confidence = round(pred["confidence"] * 100, decimal_places) box_width = pred["x_max"] - pred["x_min"] box_height = pred["y_max"] - pred["y_min"] box = { "height": round(box_height / img_height, decimal_places), "width": round(box_width / img_width, decimal_places), "y_min": round(pred["y_min"] / img_height, decimal_places), "x_min": round(pred["x_min"] / img_width, decimal_places), "y_max": round(pred["y_max"] / img_height, decimal_places), "x_max": round(pred["x_max"] / img_width, decimal_places), } faces.append( {"name": name, "confidence": confidence, "bounding_box": box, "prediction": pred} ) return faces def setup_platform(hass, config, add_devices, discovery_info=None): if DATA_DEEPSTACK not in hass.data: hass.data[DATA_DEEPSTACK] = [] save_file_folder = config.get(CONF_SAVE_FILE_FOLDER) if save_file_folder: save_file_folder = Path(save_file_folder) save_faces_folder = config.get(CONF_SAVE_FACES_FOLDER) if save_faces_folder: save_faces_folder = Path(save_faces_folder) entities = [] for camera in config[CONF_SOURCE]: face_entity = FaceClassifyEntity( config[CONF_IP_ADDRESS], config[CONF_PORT], config.get(CONF_API_KEY), config.get(CONF_TIMEOUT), config.get(CONF_DETECT_ONLY), save_file_folder, config.get(CONF_SAVE_TIMESTAMPTED_FILE), save_faces_folder, config.get(CONF_SAVE_FACES), config[CONF_SHOW_BOXES], config.get(CONF_BOX_COLOR), camera[CONF_ENTITY_ID], camera.get(CONF_NAME), ) entities.append(face_entity) hass.data[DATA_DEEPSTACK].append(face_entity) add_devices(entities) def service_handle(service): entity_ids = service.data.get("entity_id") classifiers = hass.data[DATA_DEEPSTACK] if entity_ids: classifiers = [c for c in classifiers if c.entity_id in entity_ids] for classifier in classifiers: name = service.data.get(ATTR_NAME) file_path = service.data.get(FILE_PATH) classifier.teach(name, file_path) hass.services.register( DOMAIN, SERVICE_TEACH_FACE, service_handle, schema=SERVICE_TEACH_SCHEMA ) class FaceClassifyEntity(ImageProcessingFaceEntity): def __init__( self, ip_address, port, api_key, timeout, detect_only, save_file_folder, save_timestamped_file, save_faces_folder, save_faces, show_boxes, box_color, camera_entity, name=None, ): super().__init__() self._dsface = ds.DeepstackFace( ip=ip_address, port=port, api_key=api_key, timeout=timeout ) self._detect_only = detect_only self._show_boxes = show_boxes self._box_color = box_color self._last_detection = None self._save_file_folder = save_file_folder self._save_timestamped_file = save_timestamped_file self._save_faces_folder = save_faces_folder self._save_faces = save_faces self._camera = camera_entity if name: self._name = name else: camera_name = split_entity_id(camera_entity)[1] self._name = "{} {}".format(CLASSIFIER, camera_name) self._predictions = [] self._matched = {} self.total_faces = None def process_image(self, image): self._predictions = [] self._matched = {} self.total_faces = None try: pil_image = Image.open(io.BytesIO(bytearray(image))).convert("RGB") except UnidentifiedImageError: _LOGGER.warning("Deepstack unable to process image, bad data") return image_width, image_height = pil_image.size try: if self._detect_only: self._predictions = self._dsface.detect(image) else: self._predictions = self._dsface.recognize(image) except ds.DeepstackException as exc: _LOGGER.error("Depstack error : %s", exc) return if len(self._predictions) > 0: self._last_detection = dt_util.now().strftime(DATETIME_FORMAT) self.total_faces = len(self._predictions) self._matched = ds.get_recognized_faces(self._predictions) self.faces = get_faces(self._predictions, image_width, image_height) self.process_faces( self.faces, self.total_faces, ) if not self._detect_only: if self._save_faces and self._save_faces_folder: self.save_faces( pil_image, self._save_faces_folder ) if self._save_file_folder: self.save_image( pil_image, self._save_file_folder, ) else: self.total_faces = None self._matched = {} def teach(self, name: str, file_path: str): if not self.hass.config.is_allowed_path(file_path): return with open(file_path, "rb") as image: self._dsface.register(name, image) _LOGGER.info("Depstack face taught name : %s", name) event_data = { "person_name": name, "file_path": file_path, } self.hass.bus.async_fire(f"{DOMAIN}_teach_face", event_data) @property def camera_entity(self): return self._camera @property def name(self): return self._name @property def state(self): return self.total_faces @property def should_poll(self): return False @property def force_update(self): return True @property def extra_state_attributes(self): attr = {} if self._detect_only: attr[CONF_DETECT_ONLY] = self._detect_only if not self._detect_only: attr["total_matched_faces"] = len(self._matched) attr["matched_faces"] = self._matched if self._last_detection: attr["last_detection"] = self._last_detection return attr def save_faces(self, pil_image: Image, directory: Path): for face in self.faces: box = face["prediction"] name = face["name"] confidence = face["confidence"] face_name = face["name"] cropped_image = pil_image.crop( (box["x_min"], box["y_min"], box["x_max"], box["y_max"]) ) timestamp_save_path = directory / f"{face_name}_{confidence:.1f}_{self._last_detection}.jpg" cropped_image.save(timestamp_save_path) _LOGGER.info("Deepstack saved face %s", timestamp_save_path) def save_image(self, pil_image: Image, directory: Path): image_width, image_height = pil_image.size draw = ImageDraw.Draw(pil_image) for face in self.faces: if not self._show_boxes: break name = face["name"] confidence = face["confidence"] box = face["bounding_box"] box_label = f"{name}: {confidence:.1f}%" box_color = self._box_color draw_box( draw, (box["y_min"], box["x_min"], box["y_max"], box["x_max"]), image_width, image_height, text=box_label, color=box_color.upper(), ) latest_save_path = ( directory / f"{get_valid_filename(self._name).lower()}_latest.jpg" ) pil_image.save(latest_save_path) if self._save_timestamped_file: timestamp_save_path = directory / f"{self._name}_{self._last_detection}.jpg" pil_image.save(timestamp_save_path) _LOGGER.info("Deepstack saved file %s", timestamp_save_path)

true

f7f50e76af61b9b530f207d296ad3d77d467050d

60,957

py

Python

python/paddle/distributed/fleet/launch_utils.py

ucsk/Paddle

1d4566592287d84b39f7f3cab2f00e9d3f993d92

[ "Apache-2.0" ]

2

2022-01-04T10:51:58.000Z

2022-01-10T12:29:08.000Z

python/paddle/distributed/fleet/launch_utils.py

ucsk/Paddle

1d4566592287d84b39f7f3cab2f00e9d3f993d92

[ "Apache-2.0" ]

null

python/paddle/distributed/fleet/launch_utils.py

ucsk/Paddle

1d4566592287d84b39f7f3cab2f00e9d3f993d92

[ "Apache-2.0" ]

null

# Copyright (c) 2019 PaddlePaddle Authors. 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 required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import logging import time import os import signal import copy import sys import subprocess import tempfile import shutil from contextlib import closing import multiprocessing import socket import warnings import six import struct import json import paddle import paddle.fluid as fluid from distutils.util import strtobool import paddle.utils.cpp_extension.extension_utils as utils logger = logging.getLogger("root") logger.propagate = False class DistributeMode(): """ There are various mode for fleetrun, each of them is designed for different model. """ COLLECTIVE = 0 PS = 1 PS_HETER = 2 class DeviceMode(): """ Training devices type """ UNKNOWN = -1 CPU = 0 GPU = 1 KUNLUN = 2 XPU = 2 ASCEND_NPU = 3 UNKNOWN = 3 class Cluster(object): def __init__(self, hdfs): self.job_server = None self.pods = [] self.hdfs = None self.job_stage_flag = None def __str__(self): return "job_server:{} pods:{} job_stage_flag:{} hdfs:{}".format( self.job_server, [str(pod) for pod in self.pods], self.job_stage_flag, self.hdfs) def __eq__(self, cluster): if len(self.pods) != len(cluster.pods): return False for a, b in zip(self.pods, cluster.pods): if a != b: return False if self.job_stage_flag != cluster.job_stage_flag: return False return True def __ne__(self, cluster): return not self.__eq__(cluster) def update_pods(self, cluster): self.pods = copy.copy(cluster.pods) def trainers_nranks(self): return len(self.trainers_endpoints()) def pods_nranks(self): return len(self.pods) def trainers_endpoints(self): r = [] for pod in self.pods: for t in pod.trainers: r.append(t.endpoint) return r def world_device_ids(self): r = [] for pod in self.pods: for t in pod.trainers: str_accelerators = [str(acc) for acc in t.accelerators] r.append(str_accelerators) return r def pods_endpoints(self): r = [] for pod in self.pods: ep = "{}:{}".format(pod.addr, pod.port) assert pod.port != None and pod.addr != None, "{} not a valid endpoint".format( ep) r.append(ep) return r def get_pod_by_id(self, pod_id): for pod in self.pods: if str(pod_id) == str(pod.id): return pod return None class JobServer(object): def __init__(self): self.endpoint = None def __str__(self): return "{}".format(self.endpoint) def __eq__(self, j): return self.endpint == j.endpoint def __ne__(self, j): return not self == j class Trainer(object): def __init__(self): self.accelerators = [] self.endpoint = None self.rank = None self.stage = None def __str__(self): return "accelerator:{} endpoint:{} rank:{}".format( self.accelerators, self.endpoint, self.rank) def __eq__(self, t): if len(self.accelerators) != len(t.accelerators): return False if self.endpoint != t.endpoint or \ self.rank != t.rank: return False for a, b in zip(self.accelerators, t.accelerators): if a != b: return False return True def __ne__(self, t): return not self == t def rank(self): return self.rank class Pod(object): def __init__(self): self.rank = None self.id = None self.addr = None self.port = None self.trainers = [] self.servers = [] self.workers = [] self.heter_workers = [] self.accelerators = [] self.device_mode = None def __str__(self): return "rank:{} id:{} addr:{} port:{} visible_accelerator:{} trainers:{} servers:{} \ workers:{} heter_workers:{}".format( self.rank, self.id, self.addr, self.port, self.accelerators, [ str(t) for t in self.trainers ], [str(s) for s in self.servers], [str(w) for w in self.workers], [str(h) for h in self.heter_workers]) def __eq__(self, pod): if self.rank != pod.rank or \ self.id != pod.id or \ self.addr != pod.addr or \ self.port != pod.port: logger.debug("pod {} != {}".format(self, pod)) return False if len(self.trainers) != len(pod.trainers): logger.debug("trainers {} != {}".format(self.trainers, pod.trainers)) return False for i in range(len(self.trainers)): if self.trainers[i] != pod.trainers[i]: logger.debug("trainer {} != {}".format(self.trainers[i], pod.trainers[i])) return False if len(self.servers) != len(pod.servers): logger.debug("servers {} != {}".format(self.servers, pod.servers)) return False for i in range(len(self.servers)): if self.servers[i] != pod.servers[i]: logger.debug("servers {} != {}".format(self.servers[i], pod.servers[i])) return False if len(self.workers) != len(pod.workers): logger.debug("workers {} != {}".format(self.workers, pod.workers)) return False for i in range(len(self.workers)): if self.workers[i] != pod.workers[i]: logger.debug("workers {} != {}".format(self.workers[i], pod.workers[i])) return False return True def __ne__(self, pod): return not self == pod def parse_response(self, res_pods): pass def rank(self): return self.rank def get_visible_accelerators(self): r = "" for g in self.accelerators: r += "{},".format(g) assert r != "", "this pod {} can't see any accelerators".format(self) r = r[:-1] return r def get_logger(log_level=20, name="root"): logger = logging.getLogger(name) logger.setLevel(log_level) log_handler = logging.StreamHandler() log_format = logging.Formatter( '%(levelname)s %(asctime)s %(filename)s:%(lineno)d] %(message)s') log_handler.setFormatter(log_format) logger.addHandler(log_handler) return logger def get_cluster(node_ips, node_ip, trainer_endpoints, device_mode, devices_per_proc): assert type(trainer_endpoints) is list, "trainer_endpoints must be list" cluster = Cluster(hdfs=None) trainer_rank = 0 for node_rank, ip in enumerate(node_ips): pod = Pod() pod.rank = node_rank pod.addr = ip pod.device_mode = device_mode cur_node_endpoints = trainer_endpoints[node_rank] # when use paddlecloud, endpoints may > devices_per_proc(user_defined) assert len(cur_node_endpoints) >= len( devices_per_proc ), "current trainer_endpoints size should be greater equal than acclerators size." for i in range(len(devices_per_proc)): trainer = Trainer() if device_mode == DeviceMode.GPU or device_mode == DeviceMode.ASCEND_NPU: if isinstance(devices_per_proc[i], (list, tuple)): trainer.accelerators.extend(devices_per_proc[i]) pod.accelerators.extend(devices_per_proc[i]) else: trainer.accelerators.append(devices_per_proc[i]) pod.accelerators.append(devices_per_proc[i]) elif device_mode == DeviceMode.XPU: if isinstance(devices_per_proc[i], (list, tuple)): trainer.accelerators.extend(devices_per_proc[i]) else: trainer.accelerators.append(devices_per_proc[i]) trainer.endpoint = "%s" % (cur_node_endpoints[i]) trainer.rank = trainer_rank trainer_rank += 1 pod.trainers.append(trainer) cluster.pods.append(pod) pod_rank = node_ips.index(node_ip) return cluster, cluster.pods[pod_rank] def terminate_local_procs(procs): # try to terminate process by group, this happend in multiprocess senario in user process if os.name != 'nt': for p in procs: if p.proc.poll() is None: os.killpg(os.getpgid(p.proc.pid), signal.SIGTERM) if p.log_fn: p.log_fn.close() logger.info("terminate process group gid:{}".format(p.proc.pid)) time.sleep(1) for p in procs: if p.proc.poll() is None: p.proc.terminate() if p.log_fn: p.log_fn.close() logger.debug("terminate process id:{}".format(p.proc.pid)) # wait all process terminiated time.sleep(3) for step in range(0, 50): alive = False for p in procs: if p.proc.poll() is None: # not termniate os.kill(p.proc.pid, signal.SIGKILL) alive = True if not alive: logger.info("terminate all the procs") return time.sleep(3) logger.fatal("can't kill all process and exit") exit(1) def get_host_name_ip(): try: host_name = socket.gethostname() host_ip = socket.gethostbyname(host_name) return host_name, host_ip except: return None def add_arguments(argname, type, default, help, argparser, **kwargs): """Add argparse's argument. Usage: .. code-block:: python parser = argparse.ArgumentParser() add_argument("name", str, "Jonh", "User name.", parser) args = parser.parse_args() """ type = strtobool if type == bool else type argparser.add_argument( "--" + argname, default=default, type=type, help=help + ' Default: %(default)s.', **kwargs) def find_free_ports(num): def __free_port(): with closing(socket.socket(socket.AF_INET, socket.SOCK_STREAM)) as s: # Note(wangxi): Close the connection with a TCP RST instead # of a TCP FIN, to avoid time_wait state. s.setsockopt(socket.SOL_SOCKET, socket.SO_LINGER, struct.pack('ii', 1, 0)) s.bind(('', 0)) return s.getsockname()[1] port_set = set() step = 0 while True: port = __free_port() if port not in port_set: port_set.add(port) if len(port_set) >= num: return port_set step += 1 if step > 400: print( "can't find avilable port and use the specified static port now!" ) return None return None def get_ports(num, offset): if os.environ.get('FLAGS_START_PORT') is None: ports = find_free_ports(num) if ports is not None: ports = list(ports) else: start_port = int(os.environ.get('FLAGS_START_PORT')) ports = range(start_port + offset, start_port + offset + num, 1) return ports def pretty_print_envs(envs, header=None): spacing = 2 max_k = 40 max_v = 45 for k, v in envs.items(): max_k = max(max_k, len(k)) h_format = " " + "|{{:>{}s}}{}{{:^{}s}}|\n".format(max_k, " " * spacing, max_v) l_format = " " + "|{{:>{}s}}{{}}{{:^{}s}}|\n".format(max_k, max_v) length = max_k + max_v + spacing border = " +" + "".join(["="] * length) + "+" line = " +" + "".join(["-"] * length) + "+" draws = "" draws += border + "\n" if header: draws += h_format.format(header[0], header[1]) else: draws += h_format.format("fleetrun Distributed Envs", "Value") draws += line + "\n" for k, v in envs.items(): if isinstance(v, str) and len(v) >= max_v: str_v = "... " + v[-41:] else: str_v = v draws += l_format.format(k, " " * spacing, str(str_v)) draws += border _str = "\n{}\n".format(draws) return _str class TrainerProc(object): def __init__(self): self.proc = None self.log_fn = None self.log_offset = None self.rank = None self.local_rank = None self.cmd = None _run_with_coverage = False def run_with_coverage(*args): global _run_with_coverage assert len(args) <= 1, "len(args) {} should <= 1".format(len(args)) if len(args) == 1: assert isinstance(args[0], bool) _run_with_coverage = args[0] return _run_with_coverage def start_local_trainers(cluster, pod, training_script, training_script_args, log_dir=None, envs=None): if envs is None: current_env = copy.copy(os.environ.copy()) else: current_env = copy.copy(envs) # paddle broadcast ncclUniqueId use socket, and # proxy maybe make trainers unreachable, so delete them. # if we set them to "", grpc will log error message "bad uri" # so just delete them. current_env.pop("http_proxy", None) current_env.pop("https_proxy", None) ids = cluster.world_device_ids() res = [':'.join(ele) for ele in ids] procs = [] for idx, t in enumerate(pod.trainers): proc_env = { "PADDLE_TRAINER_ID": "%d" % t.rank, "PADDLE_CURRENT_ENDPOINT": "%s" % t.endpoint, "PADDLE_TRAINERS_NUM": "%d" % cluster.trainers_nranks(), "PADDLE_TRAINER_ENDPOINTS": ",".join(cluster.trainers_endpoints()), "PADDLE_RANK_IN_NODE": str(idx), "PADDLE_LOCAL_DEVICE_IDS": ",".join([str(acc) for acc in t.accelerators]), "PADDLE_WORLD_DEVICE_IDS": ",".join(res), } if len(t.accelerators) > 0 and pod.device_mode == DeviceMode.GPU: proc_env["FLAGS_selected_gpus"] = "%s" % ",".join( [str(g) for g in t.accelerators]) elif len(t. accelerators) > 0 and pod.device_mode == DeviceMode.ASCEND_NPU: proc_env["FLAGS_selected_npus"] = "%s" % ",".join( [str(g) for g in t.accelerators]) if len(t.accelerators) > 0: proc_env["FLAGS_selected_accelerators"] = "%s" % ",".join( [str(g) for g in t.accelerators]) # to do: same code style in future if fluid.core.is_compiled_with_xpu() and len(t.accelerators) > 0: proc_env["FLAGS_selected_xpus"] = "%s" % ",".join( [str(g) for g in t.accelerators]) current_env.update(proc_env) coverage_args = [] if run_with_coverage(): coverage_args = ["-m", "coverage", "run", "--branch", "-p"] cmd = [sys.executable, "-u"] + coverage_args + [training_script ] + training_script_args logger.debug("start trainer proc{} env:{}".format(cmd, current_env)) if idx == 0: logger.info("Local start {} processes. First process distributed " "environment info (Only For Debug): {}".format( len(pod.trainers), pretty_print_envs(proc_env, ("Distributed Envs", "Value")))) logger.info( "details about PADDLE_TRAINER_ENDPOINTS can be found in " "{}/endpoints.log, and detail running logs maybe found in " "{}/workerlog.0".format(log_dir, log_dir)) fn = None pre_fn = None if os.name == 'nt' else os.setsid if log_dir is not None: os.system("mkdir -p {}".format(log_dir)) if os.path.exists("%s/endpoints.log" % log_dir): os.system("rm -f {}/endpoints.log".format(log_dir)) with open("%s/endpoints.log" % log_dir, "w") as f: f.write("PADDLE_TRAINER_ENDPOINTS: \n") f.write("\n".join(cluster.trainers_endpoints())) fn = open("%s/workerlog.%d" % (log_dir, idx), "a") proc = subprocess.Popen( cmd, env=current_env, stdout=fn, stderr=fn, preexec_fn=pre_fn) else: proc = subprocess.Popen(cmd, env=current_env, preexec_fn=pre_fn) tp = TrainerProc() tp.proc = proc tp.rank = t.rank tp.local_rank = idx tp.log_fn = fn tp.log_offset = fn.tell() if fn else None tp.cmd = cmd procs.append(tp) return procs def pull_worker_log(tp): if tp.log_fn: with open(tp.log_fn.name, 'r') as fin: fin.seek(tp.log_offset, 0) for line in fin: try: sys.stdout.write(line) except UnicodeEncodeError: sys.stdout.write( 'UnicodeEncodeError occurs at this line. ' 'Please refer to the original log file "%s"\n' % tp.log_fn.name) tp.log_offset = fin.tell() def watch_local_trainers(procs, nranks): try: error = False error_rank = [] # wait all process finish or one error alive = False for p in procs: if p.log_fn and p.local_rank == 0: pull_worker_log(p) ret = p.proc.poll() if ret is None: alive = True elif ret != 0: error = True error_rank.append(p.rank) if error: terminate_local_procs(procs) exit(1) except KeyboardInterrupt: logger.warning("KeyboardInterrupt, exit") terminate_local_procs(procs) return except SystemExit: logger.error( "ABORT!!! Out of all {} trainers, the trainer process with rank={} was aborted. Please check its log.". format(nranks, error_rank)) terminate_local_procs(procs) return except: logger.error( "ABORT!!! Out of all {} trainers, the trainer process with rank={} was aborted. Please check its log.". format(nranks, error_rank)) terminate_local_procs(procs) return return alive def get_gpus(gpus): if gpus is None: gpus_num = fluid.core.get_cuda_device_count() res_gpus = [str(x) for x in range(0, gpus_num)] else: cuda_visible_devices = os.getenv("CUDA_VISIBLE_DEVICES") if cuda_visible_devices is None or cuda_visible_devices == "": res_gpus = [x.strip() for x in gpus.split(',')] else: # change gpus into relative values # e.g. CUDA_VISIBLE_DEVICES=4,5,6,7; args.gpus=4,5,6,7; # therefore gpus=0,1,2,3 cuda_visible_devices_list = cuda_visible_devices.split(',') for x in gpus.split(','): assert x in cuda_visible_devices_list, "Can't find "\ "your gpus %s in CUDA_VISIBLE_DEVICES[%s]."\ % (x, cuda_visible_devices) res_gpus = [ cuda_visible_devices_list.index(x.strip()) for x in gpus.split(',') ] logger.info("Change selected_gpus into reletive values. --ips:{} " "will change into relative_ips:{} according to your " "CUDA_VISIBLE_DEVICES:{}".format( gpus, res_gpus, cuda_visible_devices_list)) return res_gpus def get_xpus(xpus): if xpus is None: xpus_num = fluid.core.get_xpu_device_count() res_xpus = [str(x) for x in range(0, xpus_num)] else: xpu_visible_devices = os.getenv("XPU_VISIBLE_DEVICES") if xpu_visible_devices is None or xpu_visible_devices == "": res_xpus = [x.strip() for x in xpus.split(',')] else: # change xpus into relative values # e.g. XPU_VISIBLE_DEVICES=4,5,6,7; args.xpus=4,5,6,7; # therefore xpus=0,1,2,3 xpu_visible_devices_list = xpu_visible_devices.split(',') for x in xpus.split(','): assert x in xpu_visible_devices_list, "Can't find "\ "your xpus %s in XPU_VISIBLE_DEVICES[%s]."\ % (x, xpu_visible_devices) res_xpus = [ xpu_visible_devices_list.index(x.strip()) for x in xpus.split(',') ] logger.info("Change selected_xpus into reletive values. --ips:{} " "will change into relative_ips:{} according to your " "XPU_VISIBLE_DEVICES:{}".format( xpus, res_xpus, xpu_visible_devices_list)) return res_xpus def get_device_mode(backend): if fluid.core.is_compiled_with_npu() and \ fluid.core.get_npu_device_count() > 0: print("launch train in ascend npu mode!") return DeviceMode.ASCEND_NPU if backend == 'nccl' and \ fluid.core.get_cuda_device_count() > 0: print("launch train in GPU mode!") return DeviceMode.GPU if backend == 'bkcl' and fluid.core.get_xpu_device_count() > 0: print("launch train in XPU mode") return DeviceMode.XPU if backend == 'gloo': print("launch train in CPU mode") return DeviceMode.CPU raise RuntimeError("Don't supported devices") def get_device_proc_info(args): # device_mode device_mode = get_device_mode(args.backend) # devices devices_per_proc = [] if device_mode == DeviceMode.GPU: gpus = get_gpus(args.gpus) if args.nproc_per_node is not None: assert (len(gpus) % int(args.nproc_per_node)) ==0, \ "gpus' number:{} mod args.nproc_per_node:{} must == 0".format(len(gpus), args.nproc_per_node) n = int(len(gpus) / int(args.nproc_per_node)) devices_per_proc = [ gpus[i:i + n] for i in six.moves.range(0, len(gpus), n) ] else: devices_per_proc = gpus elif device_mode == DeviceMode.ASCEND_NPU: devices_per_proc = None elif device_mode == DeviceMode.XPU: xpus = get_xpus(args.xpus) if args.nproc_per_node is not None: assert (len(xpus) % int(args.nproc_per_node)) == 0, \ "xpus' number:{} mod args.nproc_per_node:{} must == 0".format(len(xpus), args.nproc_per_node) n = int(len(xpus) / int(args.nproc_per_node)) devices_per_proc = [ xpus[i:i + n] for i in six.moves.range(0, len(xpus), n) ] else: devices_per_proc = xpus elif device_mode == DeviceMode.CPU: if hasattr(args, "paddle_cpuonly") and args.nproc_per_node is None: #NOTE (xiongkun03) set it to cpu core number args.nproc_per_node = multiprocessing.cpu_count() if args.nproc_per_node is None: devices_per_proc = [0] else: devices_per_proc = [x for x in range(0, args.nproc_per_node)] else: assert False, "Can't support device_mode:{}, support only cpu|gpu|xpu now.".format( device_mode) return (device_mode, devices_per_proc) def direct_start(args): # run ps-cpu mode on paddlecloud, using given envs cmd = [sys.executable, "-u", args.training_script] + \ args.training_script_args proc = subprocess.Popen(cmd) proc.wait() return def get_custom_endpoints(origin_endpoints, offset=0): """ origin_endpoint: ip:port user_define_endpoint: ip:(port+offset) """ assert origin_endpoints != None paddle_user_define_endpoints_list = [] for ip_port in origin_endpoints.split(","): ip = ip_port.split(":")[0] port = ip_port.split(":")[1] new_port = int(port) + offset paddle_user_define_endpoints_list.append(":".join((ip, str(new_port)))) paddle_user_define_endpoints = ",".join(paddle_user_define_endpoints_list) return paddle_user_define_endpoints #def cloud_ps_heter_env_set(args): # environs = {} # # paddle_trainer_endpoints = os.getenv("TRAINER_IP_PORT_LIST", "") # assert paddle_trainer_endpoints != None # # paddle_pserver_endpoints = os.getenv("PSERVER_IP_PORT_LIST", "") # assert paddle_pserver_endpoints != None # # # hard code for paddlecloud custom-framework # avilable_ports = os.getenv("TRAINER_PORTS", "").split(",") # assert len( # avilable_ports # ) >= 2, "set paddle_ports_num >= 2 in config.ini for paddlecloud job submit" # # # hard code for paddlecloud custom-framework # trainers_num = len(paddle_pserver_endpoints.split(",")) # assert trainers_num != 0 # environs["PADDLE_TRAINERS_NUM"] = trainers_num # environs["TRAINERS_NUM"] = trainers_num # # # hard code for paddlecloud custom-framework # environs["PADDLE_HETER_TRAINER_IP_PORT_LIST"] = paddle_trainer_endpoints # environs["PADDLE_PSERVERS_IP_PORT_LIST"] = paddle_pserver_endpoints # environs["PADDLE_TRAINER_ENDPOINTS"] = get_custom_endpoints( # paddle_pserver_endpoints, 1) # heter_worker_num = len(paddle_trainer_endpoints.split(",")) # if (args.heter_worker_num != None) and ( # heter_worker_num != args.heter_worker_num): # warnings.warn( # "Your fleetrun setting: heter_worker_num is {}, but we find {} device can be used, this setting has been changed.". # format(args.heter_worker_num, heter_worker_num)) # args.heter_worker_num = heter_worker_num # # for k, v in environs.items(): # os.environ[k] = str(v) # logger.info("Set heter parameter server env: {}".format( # pretty_print_envs(environs))) def get_mapped_cluster(node_ips, node_ip, trainer_endpoints, device_mode, node_mapping_ranks): assert type(trainer_endpoints) is list, "trainer_endpoints must be list" assert device_mode == DeviceMode.GPU, \ "Only support get mapped cluster for gpu now." cluster = Cluster(hdfs=None) for node_rank, ip in enumerate(node_ips): pod = Pod() pod.rank = node_rank pod.addr = ip pod.device_mode = device_mode cur_node_endpoints = trainer_endpoints[node_rank] # choose rank from global mapped ranks and set it to the trainer. ranks_per_node = node_mapping_ranks[node_rank] for i in range(len(ranks_per_node)): trainer = Trainer() # change global rank(mapped) to local rank within each node. # e.g. mapped ranks of node: 3,4,7 -> 0,1,2 local_rank = ranks_per_node.index(ranks_per_node[i]) trainer.accelerators.append(local_rank) trainer.endpoint = "%s" % (cur_node_endpoints[i]) # global mapped ranks trainer.rank = ranks_per_node[i] pod.trainers.append(trainer) cluster.pods.append(pod) pod_rank = node_ips.index(node_ip) return cluster, cluster.pods[pod_rank] def get_mapped_cluster_from_args(args, device_mode): assert device_mode == DeviceMode.GPU, \ "Only support get mapped cluster for gpu now." gpus_num = fluid.core.get_cuda_device_count() # parse ip-ranks json file json_data = None with args.rank_mapping_file as json_file: json_data = json.load(json_file) node_ips = [] node_ranks_mapping = [] ip_ranks_list = json_data['ip_ranks'] for ip_ranks in ip_ranks_list: node_ips.append(ip_ranks['ip']) node_ranks_mapping.append(ip_ranks['ranks']) if len(node_ips) == 1: node_ip = node_ips[0] else: if args.host: node_ip = args.host else: _, node_ip = get_host_name_ip() assert node_ip in node_ips, \ "Can't find your local ip {%s} in node_ips: {%s}" % (node_ip, node_ips) node_rank = node_ips.index(node_ip) assert len(node_ranks_mapping[node_rank]) <= gpus_num, \ "number of ranks mapped to one node should not exceed the avaiable ones." assert len(node_ranks_mapping) == len(node_ips), \ "ranks length should be equal to ips length." logger.debug("parsed from args: node_ips:{} node_ip:{} " "node_rank:{} node_ranks_mapping:{}".format( node_ips, node_ip, node_rank, node_ranks_mapping[ node_rank])) # NOTE: there are different number of global mapped ranks on each node. free_ports = [] trainer_endpoints = [] for ip in node_ips: node_rank = node_ips.index(ip) if os.environ.get('FLAGS_START_PORT') is not None: start_port = int(os.environ.get('FLAGS_START_PORT')) free_ports = [ x for x in range(start_port, start_port + len(node_ranks_mapping[ node_rank])) ] else: free_ports = find_free_ports(len(node_ranks_mapping[node_rank])) trainer_endpoints.append(["%s:%d" % (ip, port) for port in free_ports]) return get_mapped_cluster(node_ips, node_ip, trainer_endpoints, device_mode, node_ranks_mapping) class ParameterServerLauncher(object): def __init__(self, args, distribute_mode): self.args = args self.distribute_mode = distribute_mode self.server_num = 0 self.worker_num = 0 self.heter_worker_num = 0 self.server_endpoints = "" self.server_endpoints_ips = [] self.server_endpoints_port = [] self.worker_endpoints = "" self.worker_endpoints_ips = [] self.worker_endpoints_port = [] self.heter_worker_endpoints = "" self.heter_worker_endpoints_ips = [] self.heter_worker_endpoints_port = [] self.is_local = True self.current_node_ip = "" self.stage_trainer_num = [] self.stage_heter_map = {} self.stage_list = [] self.stage_device_map = {} self.stage_num = 0 self.get_role_endpoints(args) def get_role_endpoints(self, args): if args.server_num: self.server_num = args.server_num if args.servers: assert len( args.servers.split(",") ) == self.server_num, "The server_num and servers doesn't match. Expect servers endpoints num epual to server_num, but received servers enpoint num: {} and server_num {}".format( len(args.servers.split(",")), self.server_num) self.server_endpoints = args.servers else: ports = get_ports(self.server_num, 0) self.server_endpoints = ",".join( ["127.0.0.1:" + str(x) for x in ports]) else: assert args.servers != "", "The setting of Parameter-Server must has server_num or servers." self.server_endpoints = args.servers self.server_num = len(self.server_endpoints.split(",")) # get worker envs if args.worker_num: self.worker_num = args.worker_num if args.workers: assert len( args.workers.split(",") ) == self.worker_num, "The worker_num and workers doesn't match. Expect workers endpoints num epual to worker_num, but received workers enpoint num: {} and worker_num {}".format( len(args.workers.split(",")), self.worker_num) self.worker_endpoints = args.workers else: ports = get_ports(self.worker_num, self.server_num) self.worker_endpoints = ",".join( ["127.0.0.1:" + str(x) for x in ports]) else: assert args.workers != "", "The setting of Parameter-Server must has worker_num or workers." worker_endpoints_ips = [ x.strip().split(":")[0] for x in args.workers.split(",") ] self.worker_num = len(worker_endpoints_ips) worker_endpoints_len = [ len(x.strip().split(":")) for x in args.workers.split(",") ] if 1 in worker_endpoints_len: # if no port value in worker_endpoints, will set default port values. start_port = 6170 worker_endpoints_port = range( start_port + self.server_num, start_port + self.server_num + self.worker_num, 1) # create endpoints str worker_endpoints = [] for i in range(self.worker_num): worker_endpoints.append(":".join((worker_endpoints_ips[ i], str(worker_endpoints_port[i])))) self.worker_endpoints = ",".join(worker_endpoints) else: self.worker_endpoints = args.workers # get heter worker envs if self.distribute_mode == DistributeMode.PS_HETER: assert args.heter_devices != "", "The setting of Parameter-Server heter mode must has heter_devices." self.stage_device_map[1] = "cpu" # for cpu trainer heter_devices_list = args.heter_devices.split(";") for i in range(len(heter_devices_list)): self.stage_device_map[i + 2] = heter_devices_list[i] self.stage_heter_map[1] = self.worker_endpoints if args.heter_worker_num: self.stage_heter_trainer_num = args.heter_worker_num.split(";") self.stage_heter_trainer_num = [ int(trainer_num) for trainer_num in self.stage_heter_trainer_num ] if args.heter_workers: assert len(args.heter_workers.split(";")) == len( self.stage_heter_trainer_num ), "The stage_num and heter_workers doesn't match. Expect heter_workers endpoints stage num epual to heter_worker_num stage, but received heter_workers enpoint stage num: {} and heter_worker_num stage {}".format( len(args.heter_workers.split(";")), len(self.stage_heter_trainer_num)) heter_worker_endpoints_list = args.heter_workers.split(";") self.heter_worker_endpoints = "" for i in range(len(self.stage_heter_trainer_num)): if self.heter_worker_endpoints != "": self.heter_worker_endpoints += "," heter_worker_endpoints = heter_worker_endpoints_list[ i].split(",") assert len( heter_worker_endpoints ) == self.stage_heter_trainer_num[ i], "The heter trainer num in stage {} is not equal in args.heter_worker_num and args.heter_workers".format( i) heter_worker_endpoints_ips = [ x.strip().split(":")[0] for x in heter_worker_endpoints ] heter_worker_endpoints_len = [ len(x.strip().split(":")) for x in heter_worker_endpoints ] if 1 in heter_worker_endpoints_len: # if no port value in heter_worker_endpoint, will set default port values. heter_worker_endpoints_port = get_ports( len(heter_worker_endpoints_ips), self.worker_num + self.server_num + self.heter_worker_num) new_heter_worker_endpoints = [] for j in range(len(heter_worker_endpoints_ips)): new_heter_worker_endpoints.append(":".join(( heter_worker_endpoints_ips[j], str( heter_worker_endpoints_port[j])))) ip_port_list = ",".join(new_heter_worker_endpoints) else: ip_port_list = ",".join(heter_worker_endpoints) self.stage_heter_map[i + 2] = ip_port_list self.stage_list.extend([i + 2] * len(ip_port_list.split(','))) self.heter_worker_num += self.stage_heter_trainer_num[i] self.heter_worker_endpoints += ip_port_list else: for i in range(len(self.stage_heter_trainer_num)): heter_trainer_num = self.stage_heter_trainer_num[i] ports = get_ports(heter_trainer_num, self.server_num + self.worker_num + self.heter_worker_num) ip_port_list = ",".join( ["127.0.0.1:" + str(x) for x in ports]) self.stage_heter_map[i + 2] = ip_port_list self.stage_list.extend([i + 2] * len(ip_port_list.split(','))) self.heter_worker_num += heter_trainer_num if self.heter_worker_endpoints != "": self.heter_worker_endpoints += "," self.heter_worker_endpoints += ip_port_list else: assert args.heter_workers != "", "The setting of Parameter-Server heter mode must has heter_worker_num or heter_workers." self.stage_heter_trainer_num = [] heter_worker_endpoints_list = args.heter_workers.split(";") self.heter_worker_endpoints = "" for i in range(len(heter_worker_endpoints_list)): heter_worker_endpoints = heter_worker_endpoints_list[ i].split(",") self.stage_heter_trainer_num.append( len(heter_worker_endpoints)) heter_worker_endpoints_ips = [ x.strip().split(":")[0] for x in heter_worker_endpoints ] heter_worker_endpoints_len = [ len(x.strip().split(":")) for x in heter_worker_endpoints ] if 1 in heter_worker_endpoints_len: # if no port value in heter_worker_endpoint, will set default port values. heter_worker_endpoints_port = get_ports( len(heter_worker_endpoints_ips), self.worker_num + self.server_num + self.heter_worker_num) new_heter_worker_endpoints = [] for j in range(len(heter_worker_endpoints_ips)): new_heter_worker_endpoints.append(":".join(( heter_worker_endpoints_ips[j], str( heter_worker_endpoints_port[j])))) ip_port_list = ",".join(new_heter_worker_endpoints) else: ip_port_list = ",".join(heter_worker_endpoints) self.stage_heter_map[i + 2] = ip_port_list self.stage_list.extend([i + 2] * len(ip_port_list.split(','))) self.heter_worker_num += self.stage_heter_trainer_num[-1] if self.heter_worker_endpoints != "": self.heter_worker_endpoints += "," self.heter_worker_endpoints += ip_port_list self.stage_trainer_num = [self.worker_num ] + self.stage_heter_trainer_num self.stage_num = len(self.stage_trainer_num) # get http_port if args.http_port: http_port = [args.http_port] else: http_port = get_ports( 1, self.server_num + self.worker_num + self.heter_worker_num) http_ip = self.server_endpoints.split(",")[0].split(":")[0] self.http_port = http_ip + ":" + str(http_port[0]) # check local or user define self.server_endpoints_ips = [ x.strip().split(":")[0] for x in self.server_endpoints.split(",") ] self.worker_endpoints_ips = [ x.strip().split(":")[0] for x in self.worker_endpoints.split(",") ] self.server_endpoints_port = [ x.strip().split(":")[1] for x in self.server_endpoints.split(",") ] self.worker_endpoints_port = [ x.strip().split(":")[1] for x in self.worker_endpoints.split(",") ] self.node_ips = [] for ip in self.server_endpoints_ips: if ip not in self.node_ips: self.node_ips.append(ip) for ip in self.worker_endpoints_ips: if ip not in self.node_ips: self.node_ips.append(ip) if self.distribute_mode == DistributeMode.PS_HETER: self.heter_worker_endpoints_ips = [ x.strip().split(":")[0] for x in self.heter_worker_endpoints.split(",") ] self.heter_worker_endpoints_port = [ x.strip().split(":")[1] for x in self.heter_worker_endpoints.split(",") ] for ip in self.heter_worker_endpoints_ips: if ip not in self.node_ips: self.node_ips.append(ip) if len(set(self.node_ips)) == 1: self.is_local = True self.current_node_ip = self.node_ips[0] else: self.is_local = False pod_ip = os.getenv("POD_IP", None) if pod_ip == None: _, self.current_node_ip = get_host_name_ip() else: self.current_node_ip = pod_ip if not self.distribute_mode == DistributeMode.PS_HETER: assert self.current_node_ip in self.node_ips, "Can't find your local ip {%s} in args.servers and args.workers ips: {%s}" \ % (self.current_node_ip, self.node_ips) if self.current_node_ip in self.node_ips: self.node_rank = self.node_ips.index(self.current_node_ip) logger.debug( "parsed from args: node_ips:{} current_node_ip:{} node_rank:{}". format(self.node_ips, self.current_node_ip, self.node_rank)) def start_ps(self): if not self.current_node_ip in self.node_ips: return cluster = Cluster(hdfs=None) server_rank = 0 worker_rank = 0 heter_worker_rank = 0 for node_rank, ip in enumerate(self.node_ips): pod = Pod() pod.rank = node_rank pod.addr = ip for i in range(len(self.server_endpoints_ips)): if ip == self.server_endpoints_ips[i]: server = Trainer() server.endpoint = "%s:%s" % (ip, self.server_endpoints_port[i]) server.rank = server_rank server_rank += 1 pod.servers.append(server) for j in range(len(self.worker_endpoints_ips)): if ip == self.worker_endpoints_ips[j]: worker = Trainer() worker.endpoint = "%s:%s" % (ip, self.worker_endpoints_port[j]) worker.rank = worker_rank worker.stage = 1 worker_rank += 1 pod.workers.append(worker) for k in range(len(self.heter_worker_endpoints_ips)): if ip == self.heter_worker_endpoints_ips[k]: heter_worker = Trainer() heter_worker.endpoint = "%s:%s" % ( ip, self.heter_worker_endpoints_port[k]) heter_worker.rank = heter_worker_rank heter_worker.stage = self.stage_list[k] heter_worker_rank += 1 pod.heter_workers.append(heter_worker) cluster.pods.append(pod) pod = cluster.pods[self.node_rank] self.gloo_rendezvous_dir = tempfile.mkdtemp() # 3. subproces start self.procs = {"worker": [], "server": [], "heter_worker": []} self.cmds = {"worker": [], "server": [], "heter_worker": []} self.log_fns = {"worker": [], "server": [], "heter_worker": []} self.start_pod_server(self.args, pod) self.start_pod_worker(self.args, pod) if self.distribute_mode == DistributeMode.PS_HETER: self.start_pod_heter_worker(self.args, pod) logger.info( "Please check servers, workers and heter_worker logs in {}/workerlog.*, {}/serverlog.* and {}/heterlog.*". format(self.args.log_dir, self.args.log_dir, self.args.log_dir)) # 4. wait for finish training if len(self.procs["worker"]) > 0: # if node has worker procs # only wait worker to finish here for i, proc in enumerate(self.procs["worker"]): self.procs["worker"][i].proc.wait() if len(self.log_fns["worker"]) > 0: self.log_fns["worker"][i].close() logger.info( "all workers exit, going to finish parameter server and heter_worker." ) if len(self.procs["heter_worker"]) > 0: for i, proc in enumerate(self.procs["heter_worker"]): self.log_fns["heter_worker"][i].close() self.procs["heter_worker"][i].proc.terminate() logger.info("all heter_worker are killed") if len(self.procs["server"]) > 0: for i, proc in enumerate(self.procs["server"]): self.log_fns["server"][i].close() self.procs["server"][i].proc.terminate() logger.info("all parameter server are killed") else: # if node has not worker procs # blocking training process if len(self.procs["server"]) > 0: for i, proc in enumerate(self.procs["server"]): self.procs["server"][i].proc.wait() if len(self.procs["heter_worker"]) > 0: for i, proc in enumerate(self.procs["heter_worker"]): self.procs["heter_worker"][i].proc.wait() if os.path.exists(self.gloo_rendezvous_dir): shutil.rmtree(self.gloo_rendezvous_dir) def start_pod_server(self, args, pod): default_env = os.environ.copy() current_env = copy.copy(default_env) current_env.pop("http_proxy", None) current_env.pop("https_proxy", None) for idx, cur_server in enumerate(pod.servers): if self.distribute_mode == DistributeMode.PS_HETER: proc_env = { "PADDLE_PSERVERS_IP_PORT_LIST": self.server_endpoints, "PADDLE_TRAINER_ENDPOINTS": self.worker_endpoints, "PADDLE_ALL_HETER_TRAINER_IP_PORT_LIST": self.heter_worker_endpoints, "PADDLE_PORT": cur_server.endpoint.split(":")[1], "TRAINING_ROLE": "PSERVER", "PADDLE_TRAINERS_NUM": str(self.worker_num), "POD_IP": cur_server.endpoint.split(":")[0], "PADDLE_WITH_GLOO": str(os.getenv("PADDLE_WITH_GLOO", "0")), "PADDLE_GLOO_RENDEZVOUS": "3", "PADDLE_GLOO_FS_PATH": self.gloo_rendezvous_dir, "PADDLE_GLOO_HTTP_ENDPOINT": self.http_port } else: proc_env = { "PADDLE_PSERVERS_IP_PORT_LIST": self.server_endpoints, "PADDLE_TRAINER_ENDPOINTS": self.worker_endpoints, "PADDLE_PORT": cur_server.endpoint.split(":")[1], "TRAINING_ROLE": "PSERVER", "PADDLE_TRAINERS_NUM": str(self.worker_num), "POD_IP": cur_server.endpoint.split(":")[0], "PADDLE_WITH_GLOO": str(os.getenv("PADDLE_WITH_GLOO", "0")), "PADDLE_GLOO_RENDEZVOUS": "3", "PADDLE_GLOO_FS_PATH": self.gloo_rendezvous_dir, "PADDLE_GLOO_HTTP_ENDPOINT": self.http_port } current_env.update(proc_env) cmd = [sys.executable, "-u", args.training_script ] + args.training_script_args self.cmds["server"].append(cmd) if idx == 0: logger.info( "Local server start {} processes. First process distributed " "environment info (Only For Debug): {}".format( len(pod.servers), pretty_print_envs(proc_env, ("Distributed Envs", "Value" )))) if args.log_dir is not None: os.system("mkdir -p {}".format(args.log_dir)) fn = open("%s/serverlog.%d" % (args.log_dir, idx), "w") self.log_fns["server"].append(fn) proc = subprocess.Popen( cmd, env=current_env, stdout=fn, stderr=fn) else: proc = subprocess.Popen(cmd, env=current_env) tp = TrainerProc() tp.proc = proc tp.rank = cur_server.rank tp.local_rank = idx tp.log_fn = fn tp.log_offset = fn.tell() if fn else None tp.cmd = cmd self.procs["server"].append(tp) def start_pod_worker(self, args, pod): default_env = os.environ.copy() current_env = copy.copy(default_env) current_env.pop("http_proxy", None) current_env.pop("https_proxy", None) heter_device_num = 0 device_list = [] if fluid.core.is_compiled_with_cuda(): device_list = get_gpus(args.gpus) heter_device_num = len(device_list) elif fluid.core.is_compiled_with_xpu(): heter_device_num = fluid.core.get_xpu_device_count() device_list = [str(x) for x in range(0, heter_device_num)] for idx, cur_worker in enumerate(pod.workers): device_id = "0" if heter_device_num == 0 else str(device_list[( idx) % heter_device_num]) if self.distribute_mode == DistributeMode.PS_HETER: proc_env = { "PADDLE_PSERVERS_IP_PORT_LIST": self.server_endpoints, "PADDLE_TRAINER_ENDPOINTS": self.worker_endpoints, "PADDLE_TRAINERS_NUM": str(self.worker_num), "PADDLE_STAGE_TRAINERS_NUM": str(self.stage_trainer_num), "STAGE_ID": "1", "STAGE_NUM": str(self.stage_num), "PADDLE_PREVIOUS_HETER_TRAINER_IP_PORT_LIST": "", "PADDLE_NEXT_HETER_TRAINER_IP_PORT_LIST": self.stage_heter_map[2], "PADDLE_ALL_HETER_TRAINER_IP_PORT_LIST": self.heter_worker_endpoints, "HETER_DEVICE_TYPE": self.stage_device_map[1], "TRAINING_ROLE": "TRAINER", "POD_IP": cur_worker.endpoint.split(":")[0], "PADDLE_PORT": cur_worker.endpoint.split(":")[1], "PADDLE_TRAINER_ID": str(cur_worker.rank), "PADDLE_WITH_GLOO": str(os.getenv("PADDLE_WITH_GLOO", "0")), "PADDLE_GLOO_RENDEZVOUS": "3", "PADDLE_GLOO_FS_PATH": self.gloo_rendezvous_dir, "FLAGS_selected_gpus": "0", "FLAGS_selected_xpus": "0", "CUDA_VISIBLE_DEVICES": device_id, "XPU_VISIBLE_DEVICES": device_id, "PADDLE_GLOO_HTTP_ENDPOINT": self.http_port } else: proc_env = { "PADDLE_PSERVERS_IP_PORT_LIST": self.server_endpoints, "PADDLE_TRAINER_ENDPOINTS": self.worker_endpoints, "PADDLE_TRAINERS_NUM": str(self.worker_num), "TRAINING_ROLE": "TRAINER", "POD_IP": cur_worker.endpoint.split(":")[0], "PADDLE_PORT": cur_worker.endpoint.split(":")[1], "PADDLE_TRAINER_ID": str(cur_worker.rank), "PADDLE_WITH_GLOO": str(os.getenv("PADDLE_WITH_GLOO", "0")), "PADDLE_GLOO_RENDEZVOUS": "3", "PADDLE_GLOO_FS_PATH": self.gloo_rendezvous_dir, "FLAGS_selected_gpus": "0", "FLAGS_selected_xpus": "0", "CUDA_VISIBLE_DEVICES": device_id, "XPU_VISIBLE_DEVICES": device_id, "PADDLE_GLOO_HTTP_ENDPOINT": self.http_port } current_env.update(proc_env) cmd = [sys.executable, "-u", args.training_script ] + args.training_script_args self.cmds["worker"].append(cmd) if idx == 0: logger.info( "Local worker start {} processes. First process distributed " "environment info (Only For Debug): {}".format( len(pod.workers), pretty_print_envs(proc_env, ("Distributed Envs", "Value" )))) if args.log_dir is not None: os.system("mkdir -p {}".format(args.log_dir)) fn = open("%s/workerlog.%d" % (args.log_dir, idx), "w") self.log_fns["worker"].append(fn) proc = subprocess.Popen( cmd, env=current_env, stdout=fn, stderr=fn) else: proc = subprocess.Popen(cmd, env=current_env) tp = TrainerProc() tp.proc = proc tp.rank = cur_worker.rank tp.local_rank = idx tp.log_fn = fn tp.log_offset = fn.tell() if fn else None tp.cmd = cmd self.procs["worker"].append(tp) def start_pod_heter_worker(self, args, pod): default_env = os.environ.copy() current_env = copy.copy(default_env) current_env.pop("http_proxy", None) current_env.pop("https_proxy", None) heter_device_num = 0 device_list = [] if fluid.core.is_compiled_with_cuda(): device_list = get_gpus(args.gpus) heter_device_num = len(device_list) elif fluid.core.is_compiled_with_xpu(): heter_device_num = fluid.core.get_xpu_device_count() device_list = [str(x) for x in range(0, heter_device_num)] for idx, cur_heter_worker in enumerate(pod.heter_workers): device_id = "0" if heter_device_num == 0 else str(device_list[( idx) % heter_device_num]) stage_id = cur_heter_worker.stage proc_env = { "PADDLE_PSERVERS_IP_PORT_LIST": self.server_endpoints, "PADDLE_TRAINER_ENDPOINTS": self.worker_endpoints, "PADDLE_NEXT_HETER_TRAINER_IP_PORT_LIST": self.stage_heter_map[stage_id + 1] if stage_id <= self.stage_num - 1 else "", "PADDLE_PREVIOUS_HETER_TRAINER_IP_PORT_LIST": self.stage_heter_map[stage_id - 1], "PADDLE_ALL_HETER_TRAINER_IP_PORT_LIST": self.heter_worker_endpoints, "HETER_DEVICE_TYPE": self.stage_device_map[stage_id], "STAGE_ID": str(stage_id), "STAGE_NUM": str(self.stage_num), "PADDLE_PORT": cur_heter_worker.endpoint.split(":")[1], "TRAINING_ROLE": "HETER_TRAINER", "PADDLE_TRAINERS_NUM": str(self.worker_num), "PADDLE_STAGE_TRAINERS_NUM": str(self.stage_trainer_num), "POD_IP": cur_heter_worker.endpoint.split(":")[0], "PADDLE_WITH_GLOO": str(os.getenv("PADDLE_WITH_GLOO", "0")), "PADDLE_GLOO_RENDEZVOUS": "3", "PADDLE_GLOO_FS_PATH": self.gloo_rendezvous_dir, "FLAGS_selected_gpus": "0", "FLAGS_selected_xpus": "0", "CUDA_VISIBLE_DEVICES": device_id, "XPU_VISIBLE_DEVICES": device_id, "PADDLE_GLOO_HTTP_ENDPOINT": self.http_port } current_env.update(proc_env) cmd = [sys.executable, "-u", args.training_script ] + args.training_script_args self.cmds["heter_worker"].append(cmd) if idx == 0: logger.info( "Local heter_worker start {} processes. First process distributed " "environment info (Only For Debug): {}".format( len(pod.heter_workers), pretty_print_envs(proc_env, ("Distributed Envs", "Value" )))) if args.log_dir is not None: os.system("mkdir -p {}".format(args.log_dir)) fn = open("%s/heterlog.%d" % (args.log_dir, idx), "w") self.log_fns["heter_worker"].append(fn) proc = subprocess.Popen( cmd, env=current_env, stdout=fn, stderr=fn) else: proc = subprocess.Popen(cmd, env=current_env) tp = TrainerProc() tp.proc = proc tp.rank = cur_heter_worker.rank tp.local_rank = idx tp.log_fn = fn tp.log_offset = fn.tell() if fn else None tp.cmd = cmd self.procs["heter_worker"].append(tp) def check_backend(backend): if backend not in ['nccl', 'gloo', 'bkcl', 'auto']: raise ValueError( "paddle.distributed initialize error, " "backend argument can only be one of 'nccl', 'gloo', 'bkcl', 'auto', but got %s" % backend) if backend == 'nccl' and not fluid.core.is_compiled_with_cuda(): raise ValueError( "paddle.distributed initialize error, " "your paddle is not compiled with cuda but you assign 'nccl' as backend." ) if backend == 'bkcl' and not fluid.core.is_compiled_with_xpu(): raise ValueError( "paddle.distributed initialize error, " "your paddle is not compiled with xpu but you assign 'bkcl' as backend." ) def block_windows_and_macos(backend): if backend != 'gloo': return if utils.OS_NAME.startswith('darwin'): # MACOS , block raise ValueError( "You are going to using gloo on macos, but currently is not supported" ) if utils.IS_WINDOWS: # MACOS , block raise ValueError( "You are going to using gloo on windows, but currently is not supported" ) def get_backend_by_compile_flag(): if fluid.core.is_compiled_with_cuda(): return 'nccl' if fluid.core.is_compiled_with_xpu(): return 'bkcl' return 'gloo'

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import logging import time import os import signal import copy import sys import subprocess import tempfile import shutil from contextlib import closing import multiprocessing import socket import warnings import six import struct import json import paddle import paddle.fluid as fluid from distutils.util import strtobool import paddle.utils.cpp_extension.extension_utils as utils logger = logging.getLogger("root") logger.propagate = False class DistributeMode(): COLLECTIVE = 0 PS = 1 PS_HETER = 2 class DeviceMode(): UNKNOWN = -1 CPU = 0 GPU = 1 KUNLUN = 2 XPU = 2 ASCEND_NPU = 3 UNKNOWN = 3 class Cluster(object): def __init__(self, hdfs): self.job_server = None self.pods = [] self.hdfs = None self.job_stage_flag = None def __str__(self): return "job_server:{} pods:{} job_stage_flag:{} hdfs:{}".format( self.job_server, [str(pod) for pod in self.pods], self.job_stage_flag, self.hdfs) def __eq__(self, cluster): if len(self.pods) != len(cluster.pods): return False for a, b in zip(self.pods, cluster.pods): if a != b: return False if self.job_stage_flag != cluster.job_stage_flag: return False return True def __ne__(self, cluster): return not self.__eq__(cluster) def update_pods(self, cluster): self.pods = copy.copy(cluster.pods) def trainers_nranks(self): return len(self.trainers_endpoints()) def pods_nranks(self): return len(self.pods) def trainers_endpoints(self): r = [] for pod in self.pods: for t in pod.trainers: r.append(t.endpoint) return r def world_device_ids(self): r = [] for pod in self.pods: for t in pod.trainers: str_accelerators = [str(acc) for acc in t.accelerators] r.append(str_accelerators) return r def pods_endpoints(self): r = [] for pod in self.pods: ep = "{}:{}".format(pod.addr, pod.port) assert pod.port != None and pod.addr != None, "{} not a valid endpoint".format( ep) r.append(ep) return r def get_pod_by_id(self, pod_id): for pod in self.pods: if str(pod_id) == str(pod.id): return pod return None class JobServer(object): def __init__(self): self.endpoint = None def __str__(self): return "{}".format(self.endpoint) def __eq__(self, j): return self.endpint == j.endpoint def __ne__(self, j): return not self == j class Trainer(object): def __init__(self): self.accelerators = [] self.endpoint = None self.rank = None self.stage = None def __str__(self): return "accelerator:{} endpoint:{} rank:{}".format( self.accelerators, self.endpoint, self.rank) def __eq__(self, t): if len(self.accelerators) != len(t.accelerators): return False if self.endpoint != t.endpoint or \ self.rank != t.rank: return False for a, b in zip(self.accelerators, t.accelerators): if a != b: return False return True def __ne__(self, t): return not self == t def rank(self): return self.rank class Pod(object): def __init__(self): self.rank = None self.id = None self.addr = None self.port = None self.trainers = [] self.servers = [] self.workers = [] self.heter_workers = [] self.accelerators = [] self.device_mode = None def __str__(self): return "rank:{} id:{} addr:{} port:{} visible_accelerator:{} trainers:{} servers:{} \ workers:{} heter_workers:{}".format( self.rank, self.id, self.addr, self.port, self.accelerators, [ str(t) for t in self.trainers ], [str(s) for s in self.servers], [str(w) for w in self.workers], [str(h) for h in self.heter_workers]) def __eq__(self, pod): if self.rank != pod.rank or \ self.id != pod.id or \ self.addr != pod.addr or \ self.port != pod.port: logger.debug("pod {} != {}".format(self, pod)) return False if len(self.trainers) != len(pod.trainers): logger.debug("trainers {} != {}".format(self.trainers, pod.trainers)) return False for i in range(len(self.trainers)): if self.trainers[i] != pod.trainers[i]: logger.debug("trainer {} != {}".format(self.trainers[i], pod.trainers[i])) return False if len(self.servers) != len(pod.servers): logger.debug("servers {} != {}".format(self.servers, pod.servers)) return False for i in range(len(self.servers)): if self.servers[i] != pod.servers[i]: logger.debug("servers {} != {}".format(self.servers[i], pod.servers[i])) return False if len(self.workers) != len(pod.workers): logger.debug("workers {} != {}".format(self.workers, pod.workers)) return False for i in range(len(self.workers)): if self.workers[i] != pod.workers[i]: logger.debug("workers {} != {}".format(self.workers[i], pod.workers[i])) return False return True def __ne__(self, pod): return not self == pod def parse_response(self, res_pods): pass def rank(self): return self.rank def get_visible_accelerators(self): r = "" for g in self.accelerators: r += "{},".format(g) assert r != "", "this pod {} can't see any accelerators".format(self) r = r[:-1] return r def get_logger(log_level=20, name="root"): logger = logging.getLogger(name) logger.setLevel(log_level) log_handler = logging.StreamHandler() log_format = logging.Formatter( '%(levelname)s %(asctime)s %(filename)s:%(lineno)d] %(message)s') log_handler.setFormatter(log_format) logger.addHandler(log_handler) return logger def get_cluster(node_ips, node_ip, trainer_endpoints, device_mode, devices_per_proc): assert type(trainer_endpoints) is list, "trainer_endpoints must be list" cluster = Cluster(hdfs=None) trainer_rank = 0 for node_rank, ip in enumerate(node_ips): pod = Pod() pod.rank = node_rank pod.addr = ip pod.device_mode = device_mode cur_node_endpoints = trainer_endpoints[node_rank] # when use paddlecloud, endpoints may > devices_per_proc(user_defined) assert len(cur_node_endpoints) >= len( devices_per_proc ), "current trainer_endpoints size should be greater equal than acclerators size." for i in range(len(devices_per_proc)): trainer = Trainer() if device_mode == DeviceMode.GPU or device_mode == DeviceMode.ASCEND_NPU: if isinstance(devices_per_proc[i], (list, tuple)): trainer.accelerators.extend(devices_per_proc[i]) pod.accelerators.extend(devices_per_proc[i]) else: trainer.accelerators.append(devices_per_proc[i]) pod.accelerators.append(devices_per_proc[i]) elif device_mode == DeviceMode.XPU: if isinstance(devices_per_proc[i], (list, tuple)): trainer.accelerators.extend(devices_per_proc[i]) else: trainer.accelerators.append(devices_per_proc[i]) trainer.endpoint = "%s" % (cur_node_endpoints[i]) trainer.rank = trainer_rank trainer_rank += 1 pod.trainers.append(trainer) cluster.pods.append(pod) pod_rank = node_ips.index(node_ip) return cluster, cluster.pods[pod_rank] def terminate_local_procs(procs): # try to terminate process by group, this happend in multiprocess senario in user process if os.name != 'nt': for p in procs: if p.proc.poll() is None: os.killpg(os.getpgid(p.proc.pid), signal.SIGTERM) if p.log_fn: p.log_fn.close() logger.info("terminate process group gid:{}".format(p.proc.pid)) time.sleep(1) for p in procs: if p.proc.poll() is None: p.proc.terminate() if p.log_fn: p.log_fn.close() logger.debug("terminate process id:{}".format(p.proc.pid)) # wait all process terminiated time.sleep(3) for step in range(0, 50): alive = False for p in procs: if p.proc.poll() is None: # not termniate os.kill(p.proc.pid, signal.SIGKILL) alive = True if not alive: logger.info("terminate all the procs") return time.sleep(3) logger.fatal("can't kill all process and exit") exit(1) def get_host_name_ip(): try: host_name = socket.gethostname() host_ip = socket.gethostbyname(host_name) return host_name, host_ip except: return None def add_arguments(argname, type, default, help, argparser, **kwargs): type = strtobool if type == bool else type argparser.add_argument( "--" + argname, default=default, type=type, help=help + ' Default: %(default)s.', **kwargs) def find_free_ports(num): def __free_port(): with closing(socket.socket(socket.AF_INET, socket.SOCK_STREAM)) as s: s.setsockopt(socket.SOL_SOCKET, socket.SO_LINGER, struct.pack('ii', 1, 0)) s.bind(('', 0)) return s.getsockname()[1] port_set = set() step = 0 while True: port = __free_port() if port not in port_set: port_set.add(port) if len(port_set) >= num: return port_set step += 1 if step > 400: print( "can't find avilable port and use the specified static port now!" ) return None return None def get_ports(num, offset): if os.environ.get('FLAGS_START_PORT') is None: ports = find_free_ports(num) if ports is not None: ports = list(ports) else: start_port = int(os.environ.get('FLAGS_START_PORT')) ports = range(start_port + offset, start_port + offset + num, 1) return ports def pretty_print_envs(envs, header=None): spacing = 2 max_k = 40 max_v = 45 for k, v in envs.items(): max_k = max(max_k, len(k)) h_format = " " + "|{{:>{}s}}{}{{:^{}s}}|\n".format(max_k, " " * spacing, max_v) l_format = " " + "|{{:>{}s}}{{}}{{:^{}s}}|\n".format(max_k, max_v) length = max_k + max_v + spacing border = " +" + "".join(["="] * length) + "+" line = " +" + "".join(["-"] * length) + "+" draws = "" draws += border + "\n" if header: draws += h_format.format(header[0], header[1]) else: draws += h_format.format("fleetrun Distributed Envs", "Value") draws += line + "\n" for k, v in envs.items(): if isinstance(v, str) and len(v) >= max_v: str_v = "... " + v[-41:] else: str_v = v draws += l_format.format(k, " " * spacing, str(str_v)) draws += border _str = "\n{}\n".format(draws) return _str class TrainerProc(object): def __init__(self): self.proc = None self.log_fn = None self.log_offset = None self.rank = None self.local_rank = None self.cmd = None _run_with_coverage = False def run_with_coverage(*args): global _run_with_coverage assert len(args) <= 1, "len(args) {} should <= 1".format(len(args)) if len(args) == 1: assert isinstance(args[0], bool) _run_with_coverage = args[0] return _run_with_coverage def start_local_trainers(cluster, pod, training_script, training_script_args, log_dir=None, envs=None): if envs is None: current_env = copy.copy(os.environ.copy()) else: current_env = copy.copy(envs) # paddle broadcast ncclUniqueId use socket, and # proxy maybe make trainers unreachable, so delete them. # if we set them to "", grpc will log error message "bad uri" # so just delete them. current_env.pop("http_proxy", None) current_env.pop("https_proxy", None) ids = cluster.world_device_ids() res = [':'.join(ele) for ele in ids] procs = [] for idx, t in enumerate(pod.trainers): proc_env = { "PADDLE_TRAINER_ID": "%d" % t.rank, "PADDLE_CURRENT_ENDPOINT": "%s" % t.endpoint, "PADDLE_TRAINERS_NUM": "%d" % cluster.trainers_nranks(), "PADDLE_TRAINER_ENDPOINTS": ",".join(cluster.trainers_endpoints()), "PADDLE_RANK_IN_NODE": str(idx), "PADDLE_LOCAL_DEVICE_IDS": ",".join([str(acc) for acc in t.accelerators]), "PADDLE_WORLD_DEVICE_IDS": ",".join(res), } if len(t.accelerators) > 0 and pod.device_mode == DeviceMode.GPU: proc_env["FLAGS_selected_gpus"] = "%s" % ",".join( [str(g) for g in t.accelerators]) elif len(t. accelerators) > 0 and pod.device_mode == DeviceMode.ASCEND_NPU: proc_env["FLAGS_selected_npus"] = "%s" % ",".join( [str(g) for g in t.accelerators]) if len(t.accelerators) > 0: proc_env["FLAGS_selected_accelerators"] = "%s" % ",".join( [str(g) for g in t.accelerators]) # to do: same code style in future if fluid.core.is_compiled_with_xpu() and len(t.accelerators) > 0: proc_env["FLAGS_selected_xpus"] = "%s" % ",".join( [str(g) for g in t.accelerators]) current_env.update(proc_env) coverage_args = [] if run_with_coverage(): coverage_args = ["-m", "coverage", "run", "--branch", "-p"] cmd = [sys.executable, "-u"] + coverage_args + [training_script ] + training_script_args logger.debug("start trainer proc{} env:{}".format(cmd, current_env)) if idx == 0: logger.info("Local start {} processes. First process distributed " "environment info (Only For Debug): {}".format( len(pod.trainers), pretty_print_envs(proc_env, ("Distributed Envs", "Value")))) logger.info( "details about PADDLE_TRAINER_ENDPOINTS can be found in " "{}/endpoints.log, and detail running logs maybe found in " "{}/workerlog.0".format(log_dir, log_dir)) fn = None pre_fn = None if os.name == 'nt' else os.setsid if log_dir is not None: os.system("mkdir -p {}".format(log_dir)) if os.path.exists("%s/endpoints.log" % log_dir): os.system("rm -f {}/endpoints.log".format(log_dir)) with open("%s/endpoints.log" % log_dir, "w") as f: f.write("PADDLE_TRAINER_ENDPOINTS: \n") f.write("\n".join(cluster.trainers_endpoints())) fn = open("%s/workerlog.%d" % (log_dir, idx), "a") proc = subprocess.Popen( cmd, env=current_env, stdout=fn, stderr=fn, preexec_fn=pre_fn) else: proc = subprocess.Popen(cmd, env=current_env, preexec_fn=pre_fn) tp = TrainerProc() tp.proc = proc tp.rank = t.rank tp.local_rank = idx tp.log_fn = fn tp.log_offset = fn.tell() if fn else None tp.cmd = cmd procs.append(tp) return procs def pull_worker_log(tp): if tp.log_fn: with open(tp.log_fn.name, 'r') as fin: fin.seek(tp.log_offset, 0) for line in fin: try: sys.stdout.write(line) except UnicodeEncodeError: sys.stdout.write( 'UnicodeEncodeError occurs at this line. ' 'Please refer to the original log file "%s"\n' % tp.log_fn.name) tp.log_offset = fin.tell() def watch_local_trainers(procs, nranks): try: error = False error_rank = [] # wait all process finish or one error alive = False for p in procs: if p.log_fn and p.local_rank == 0: pull_worker_log(p) ret = p.proc.poll() if ret is None: alive = True elif ret != 0: error = True error_rank.append(p.rank) if error: terminate_local_procs(procs) exit(1) except KeyboardInterrupt: logger.warning("KeyboardInterrupt, exit") terminate_local_procs(procs) return except SystemExit: logger.error( "ABORT!!! Out of all {} trainers, the trainer process with rank={} was aborted. Please check its log.". format(nranks, error_rank)) terminate_local_procs(procs) return except: logger.error( "ABORT!!! Out of all {} trainers, the trainer process with rank={} was aborted. Please check its log.". format(nranks, error_rank)) terminate_local_procs(procs) return return alive def get_gpus(gpus): if gpus is None: gpus_num = fluid.core.get_cuda_device_count() res_gpus = [str(x) for x in range(0, gpus_num)] else: cuda_visible_devices = os.getenv("CUDA_VISIBLE_DEVICES") if cuda_visible_devices is None or cuda_visible_devices == "": res_gpus = [x.strip() for x in gpus.split(',')] else: # change gpus into relative values # e.g. CUDA_VISIBLE_DEVICES=4,5,6,7; args.gpus=4,5,6,7; # therefore gpus=0,1,2,3 cuda_visible_devices_list = cuda_visible_devices.split(',') for x in gpus.split(','): assert x in cuda_visible_devices_list, "Can't find "\ "your gpus %s in CUDA_VISIBLE_DEVICES[%s]."\ % (x, cuda_visible_devices) res_gpus = [ cuda_visible_devices_list.index(x.strip()) for x in gpus.split(',') ] logger.info("Change selected_gpus into reletive values. --ips:{} " "will change into relative_ips:{} according to your " "CUDA_VISIBLE_DEVICES:{}".format( gpus, res_gpus, cuda_visible_devices_list)) return res_gpus def get_xpus(xpus): if xpus is None: xpus_num = fluid.core.get_xpu_device_count() res_xpus = [str(x) for x in range(0, xpus_num)] else: xpu_visible_devices = os.getenv("XPU_VISIBLE_DEVICES") if xpu_visible_devices is None or xpu_visible_devices == "": res_xpus = [x.strip() for x in xpus.split(',')] else: xpu_visible_devices_list = xpu_visible_devices.split(',') for x in xpus.split(','): assert x in xpu_visible_devices_list, "Can't find "\ "your xpus %s in XPU_VISIBLE_DEVICES[%s]."\ % (x, xpu_visible_devices) res_xpus = [ xpu_visible_devices_list.index(x.strip()) for x in xpus.split(',') ] logger.info("Change selected_xpus into reletive values. --ips:{} " "will change into relative_ips:{} according to your " "XPU_VISIBLE_DEVICES:{}".format( xpus, res_xpus, xpu_visible_devices_list)) return res_xpus def get_device_mode(backend): if fluid.core.is_compiled_with_npu() and \ fluid.core.get_npu_device_count() > 0: print("launch train in ascend npu mode!") return DeviceMode.ASCEND_NPU if backend == 'nccl' and \ fluid.core.get_cuda_device_count() > 0: print("launch train in GPU mode!") return DeviceMode.GPU if backend == 'bkcl' and fluid.core.get_xpu_device_count() > 0: print("launch train in XPU mode") return DeviceMode.XPU if backend == 'gloo': print("launch train in CPU mode") return DeviceMode.CPU raise RuntimeError("Don't supported devices") def get_device_proc_info(args): device_mode = get_device_mode(args.backend) devices_per_proc = [] if device_mode == DeviceMode.GPU: gpus = get_gpus(args.gpus) if args.nproc_per_node is not None: assert (len(gpus) % int(args.nproc_per_node)) ==0, \ "gpus' number:{} mod args.nproc_per_node:{} must == 0".format(len(gpus), args.nproc_per_node) n = int(len(gpus) / int(args.nproc_per_node)) devices_per_proc = [ gpus[i:i + n] for i in six.moves.range(0, len(gpus), n) ] else: devices_per_proc = gpus elif device_mode == DeviceMode.ASCEND_NPU: devices_per_proc = None elif device_mode == DeviceMode.XPU: xpus = get_xpus(args.xpus) if args.nproc_per_node is not None: assert (len(xpus) % int(args.nproc_per_node)) == 0, \ "xpus' number:{} mod args.nproc_per_node:{} must == 0".format(len(xpus), args.nproc_per_node) n = int(len(xpus) / int(args.nproc_per_node)) devices_per_proc = [ xpus[i:i + n] for i in six.moves.range(0, len(xpus), n) ] else: devices_per_proc = xpus elif device_mode == DeviceMode.CPU: if hasattr(args, "paddle_cpuonly") and args.nproc_per_node is None: args.nproc_per_node = multiprocessing.cpu_count() if args.nproc_per_node is None: devices_per_proc = [0] else: devices_per_proc = [x for x in range(0, args.nproc_per_node)] else: assert False, "Can't support device_mode:{}, support only cpu|gpu|xpu now.".format( device_mode) return (device_mode, devices_per_proc) def direct_start(args): # run ps-cpu mode on paddlecloud, using given envs cmd = [sys.executable, "-u", args.training_script] + \ args.training_script_args proc = subprocess.Popen(cmd) proc.wait() return def get_custom_endpoints(origin_endpoints, offset=0): assert origin_endpoints != None paddle_user_define_endpoints_list = [] for ip_port in origin_endpoints.split(","): ip = ip_port.split(":")[0] port = ip_port.split(":")[1] new_port = int(port) + offset paddle_user_define_endpoints_list.append(":".join((ip, str(new_port)))) paddle_user_define_endpoints = ",".join(paddle_user_define_endpoints_list) return paddle_user_define_endpoints #def cloud_ps_heter_env_set(args): # environs = {} # # paddle_trainer_endpoints = os.getenv("TRAINER_IP_PORT_LIST", "") # assert paddle_trainer_endpoints != None # # paddle_pserver_endpoints = os.getenv("PSERVER_IP_PORT_LIST", "") # assert paddle_pserver_endpoints != None # # # hard code for paddlecloud custom-framework # avilable_ports = os.getenv("TRAINER_PORTS", "").split(",") # assert len( # avilable_ports # ) >= 2, "set paddle_ports_num >= 2 in config.ini for paddlecloud job submit" # # # hard code for paddlecloud custom-framework # trainers_num = len(paddle_pserver_endpoints.split(",")) # assert trainers_num != 0 # environs["PADDLE_TRAINERS_NUM"] = trainers_num # environs["TRAINERS_NUM"] = trainers_num # # # hard code for paddlecloud custom-framework # environs["PADDLE_HETER_TRAINER_IP_PORT_LIST"] = paddle_trainer_endpoints # environs["PADDLE_PSERVERS_IP_PORT_LIST"] = paddle_pserver_endpoints # environs["PADDLE_TRAINER_ENDPOINTS"] = get_custom_endpoints( # paddle_pserver_endpoints, 1) # heter_worker_num = len(paddle_trainer_endpoints.split(",")) # if (args.heter_worker_num != None) and ( # heter_worker_num != args.heter_worker_num): # warnings.warn( # "Your fleetrun setting: heter_worker_num is {}, but we find {} device can be used, this setting has been changed.". # format(args.heter_worker_num, heter_worker_num)) # args.heter_worker_num = heter_worker_num # # for k, v in environs.items(): # os.environ[k] = str(v) # logger.info("Set heter parameter server env: {}".format( # pretty_print_envs(environs))) def get_mapped_cluster(node_ips, node_ip, trainer_endpoints, device_mode, node_mapping_ranks): assert type(trainer_endpoints) is list, "trainer_endpoints must be list" assert device_mode == DeviceMode.GPU, \ "Only support get mapped cluster for gpu now." cluster = Cluster(hdfs=None) for node_rank, ip in enumerate(node_ips): pod = Pod() pod.rank = node_rank pod.addr = ip pod.device_mode = device_mode cur_node_endpoints = trainer_endpoints[node_rank] # choose rank from global mapped ranks and set it to the trainer. ranks_per_node = node_mapping_ranks[node_rank] for i in range(len(ranks_per_node)): trainer = Trainer() # change global rank(mapped) to local rank within each node. # e.g. mapped ranks of node: 3,4,7 -> 0,1,2 local_rank = ranks_per_node.index(ranks_per_node[i]) trainer.accelerators.append(local_rank) trainer.endpoint = "%s" % (cur_node_endpoints[i]) # global mapped ranks trainer.rank = ranks_per_node[i] pod.trainers.append(trainer) cluster.pods.append(pod) pod_rank = node_ips.index(node_ip) return cluster, cluster.pods[pod_rank] def get_mapped_cluster_from_args(args, device_mode): assert device_mode == DeviceMode.GPU, \ "Only support get mapped cluster for gpu now." gpus_num = fluid.core.get_cuda_device_count() # parse ip-ranks json file json_data = None with args.rank_mapping_file as json_file: json_data = json.load(json_file) node_ips = [] node_ranks_mapping = [] ip_ranks_list = json_data['ip_ranks'] for ip_ranks in ip_ranks_list: node_ips.append(ip_ranks['ip']) node_ranks_mapping.append(ip_ranks['ranks']) if len(node_ips) == 1: node_ip = node_ips[0] else: if args.host: node_ip = args.host else: _, node_ip = get_host_name_ip() assert node_ip in node_ips, \ "Can't find your local ip {%s} in node_ips: {%s}" % (node_ip, node_ips) node_rank = node_ips.index(node_ip) assert len(node_ranks_mapping[node_rank]) <= gpus_num, \ "number of ranks mapped to one node should not exceed the avaiable ones." assert len(node_ranks_mapping) == len(node_ips), \ "ranks length should be equal to ips length." logger.debug("parsed from args: node_ips:{} node_ip:{} " "node_rank:{} node_ranks_mapping:{}".format( node_ips, node_ip, node_rank, node_ranks_mapping[ node_rank])) free_ports = [] trainer_endpoints = [] for ip in node_ips: node_rank = node_ips.index(ip) if os.environ.get('FLAGS_START_PORT') is not None: start_port = int(os.environ.get('FLAGS_START_PORT')) free_ports = [ x for x in range(start_port, start_port + len(node_ranks_mapping[ node_rank])) ] else: free_ports = find_free_ports(len(node_ranks_mapping[node_rank])) trainer_endpoints.append(["%s:%d" % (ip, port) for port in free_ports]) return get_mapped_cluster(node_ips, node_ip, trainer_endpoints, device_mode, node_ranks_mapping) class ParameterServerLauncher(object): def __init__(self, args, distribute_mode): self.args = args self.distribute_mode = distribute_mode self.server_num = 0 self.worker_num = 0 self.heter_worker_num = 0 self.server_endpoints = "" self.server_endpoints_ips = [] self.server_endpoints_port = [] self.worker_endpoints = "" self.worker_endpoints_ips = [] self.worker_endpoints_port = [] self.heter_worker_endpoints = "" self.heter_worker_endpoints_ips = [] self.heter_worker_endpoints_port = [] self.is_local = True self.current_node_ip = "" self.stage_trainer_num = [] self.stage_heter_map = {} self.stage_list = [] self.stage_device_map = {} self.stage_num = 0 self.get_role_endpoints(args) def get_role_endpoints(self, args): if args.server_num: self.server_num = args.server_num if args.servers: assert len( args.servers.split(",") ) == self.server_num, "The server_num and servers doesn't match. Expect servers endpoints num epual to server_num, but received servers enpoint num: {} and server_num {}".format( len(args.servers.split(",")), self.server_num) self.server_endpoints = args.servers else: ports = get_ports(self.server_num, 0) self.server_endpoints = ",".join( ["127.0.0.1:" + str(x) for x in ports]) else: assert args.servers != "", "The setting of Parameter-Server must has server_num or servers." self.server_endpoints = args.servers self.server_num = len(self.server_endpoints.split(",")) # get worker envs if args.worker_num: self.worker_num = args.worker_num if args.workers: assert len( args.workers.split(",") ) == self.worker_num, "The worker_num and workers doesn't match. Expect workers endpoints num epual to worker_num, but received workers enpoint num: {} and worker_num {}".format( len(args.workers.split(",")), self.worker_num) self.worker_endpoints = args.workers else: ports = get_ports(self.worker_num, self.server_num) self.worker_endpoints = ",".join( ["127.0.0.1:" + str(x) for x in ports]) else: assert args.workers != "", "The setting of Parameter-Server must has worker_num or workers." worker_endpoints_ips = [ x.strip().split(":")[0] for x in args.workers.split(",") ] self.worker_num = len(worker_endpoints_ips) worker_endpoints_len = [ len(x.strip().split(":")) for x in args.workers.split(",") ] if 1 in worker_endpoints_len: start_port = 6170 worker_endpoints_port = range( start_port + self.server_num, start_port + self.server_num + self.worker_num, 1) worker_endpoints = [] for i in range(self.worker_num): worker_endpoints.append(":".join((worker_endpoints_ips[ i], str(worker_endpoints_port[i])))) self.worker_endpoints = ",".join(worker_endpoints) else: self.worker_endpoints = args.workers if self.distribute_mode == DistributeMode.PS_HETER: assert args.heter_devices != "", "The setting of Parameter-Server heter mode must has heter_devices." self.stage_device_map[1] = "cpu" heter_devices_list = args.heter_devices.split(";") for i in range(len(heter_devices_list)): self.stage_device_map[i + 2] = heter_devices_list[i] self.stage_heter_map[1] = self.worker_endpoints if args.heter_worker_num: self.stage_heter_trainer_num = args.heter_worker_num.split(";") self.stage_heter_trainer_num = [ int(trainer_num) for trainer_num in self.stage_heter_trainer_num ] if args.heter_workers: assert len(args.heter_workers.split(";")) == len( self.stage_heter_trainer_num ), "The stage_num and heter_workers doesn't match. Expect heter_workers endpoints stage num epual to heter_worker_num stage, but received heter_workers enpoint stage num: {} and heter_worker_num stage {}".format( len(args.heter_workers.split(";")), len(self.stage_heter_trainer_num)) heter_worker_endpoints_list = args.heter_workers.split(";") self.heter_worker_endpoints = "" for i in range(len(self.stage_heter_trainer_num)): if self.heter_worker_endpoints != "": self.heter_worker_endpoints += "," heter_worker_endpoints = heter_worker_endpoints_list[ i].split(",") assert len( heter_worker_endpoints ) == self.stage_heter_trainer_num[ i], "The heter trainer num in stage {} is not equal in args.heter_worker_num and args.heter_workers".format( i) heter_worker_endpoints_ips = [ x.strip().split(":")[0] for x in heter_worker_endpoints ] heter_worker_endpoints_len = [ len(x.strip().split(":")) for x in heter_worker_endpoints ] if 1 in heter_worker_endpoints_len: # if no port value in heter_worker_endpoint, will set default port values. heter_worker_endpoints_port = get_ports( len(heter_worker_endpoints_ips), self.worker_num + self.server_num + self.heter_worker_num) new_heter_worker_endpoints = [] for j in range(len(heter_worker_endpoints_ips)): new_heter_worker_endpoints.append(":".join(( heter_worker_endpoints_ips[j], str( heter_worker_endpoints_port[j])))) ip_port_list = ",".join(new_heter_worker_endpoints) else: ip_port_list = ",".join(heter_worker_endpoints) self.stage_heter_map[i + 2] = ip_port_list self.stage_list.extend([i + 2] * len(ip_port_list.split(','))) self.heter_worker_num += self.stage_heter_trainer_num[i] self.heter_worker_endpoints += ip_port_list else: for i in range(len(self.stage_heter_trainer_num)): heter_trainer_num = self.stage_heter_trainer_num[i] ports = get_ports(heter_trainer_num, self.server_num + self.worker_num + self.heter_worker_num) ip_port_list = ",".join( ["127.0.0.1:" + str(x) for x in ports]) self.stage_heter_map[i + 2] = ip_port_list self.stage_list.extend([i + 2] * len(ip_port_list.split(','))) self.heter_worker_num += heter_trainer_num if self.heter_worker_endpoints != "": self.heter_worker_endpoints += "," self.heter_worker_endpoints += ip_port_list else: assert args.heter_workers != "", "The setting of Parameter-Server heter mode must has heter_worker_num or heter_workers." self.stage_heter_trainer_num = [] heter_worker_endpoints_list = args.heter_workers.split(";") self.heter_worker_endpoints = "" for i in range(len(heter_worker_endpoints_list)): heter_worker_endpoints = heter_worker_endpoints_list[ i].split(",") self.stage_heter_trainer_num.append( len(heter_worker_endpoints)) heter_worker_endpoints_ips = [ x.strip().split(":")[0] for x in heter_worker_endpoints ] heter_worker_endpoints_len = [ len(x.strip().split(":")) for x in heter_worker_endpoints ] if 1 in heter_worker_endpoints_len: # if no port value in heter_worker_endpoint, will set default port values. heter_worker_endpoints_port = get_ports( len(heter_worker_endpoints_ips), self.worker_num + self.server_num + self.heter_worker_num) new_heter_worker_endpoints = [] for j in range(len(heter_worker_endpoints_ips)): new_heter_worker_endpoints.append(":".join(( heter_worker_endpoints_ips[j], str( heter_worker_endpoints_port[j])))) ip_port_list = ",".join(new_heter_worker_endpoints) else: ip_port_list = ",".join(heter_worker_endpoints) self.stage_heter_map[i + 2] = ip_port_list self.stage_list.extend([i + 2] * len(ip_port_list.split(','))) self.heter_worker_num += self.stage_heter_trainer_num[-1] if self.heter_worker_endpoints != "": self.heter_worker_endpoints += "," self.heter_worker_endpoints += ip_port_list self.stage_trainer_num = [self.worker_num ] + self.stage_heter_trainer_num self.stage_num = len(self.stage_trainer_num) # get http_port if args.http_port: http_port = [args.http_port] else: http_port = get_ports( 1, self.server_num + self.worker_num + self.heter_worker_num) http_ip = self.server_endpoints.split(",")[0].split(":")[0] self.http_port = http_ip + ":" + str(http_port[0]) # check local or user define self.server_endpoints_ips = [ x.strip().split(":")[0] for x in self.server_endpoints.split(",") ] self.worker_endpoints_ips = [ x.strip().split(":")[0] for x in self.worker_endpoints.split(",") ] self.server_endpoints_port = [ x.strip().split(":")[1] for x in self.server_endpoints.split(",") ] self.worker_endpoints_port = [ x.strip().split(":")[1] for x in self.worker_endpoints.split(",") ] self.node_ips = [] for ip in self.server_endpoints_ips: if ip not in self.node_ips: self.node_ips.append(ip) for ip in self.worker_endpoints_ips: if ip not in self.node_ips: self.node_ips.append(ip) if self.distribute_mode == DistributeMode.PS_HETER: self.heter_worker_endpoints_ips = [ x.strip().split(":")[0] for x in self.heter_worker_endpoints.split(",") ] self.heter_worker_endpoints_port = [ x.strip().split(":")[1] for x in self.heter_worker_endpoints.split(",") ] for ip in self.heter_worker_endpoints_ips: if ip not in self.node_ips: self.node_ips.append(ip) if len(set(self.node_ips)) == 1: self.is_local = True self.current_node_ip = self.node_ips[0] else: self.is_local = False pod_ip = os.getenv("POD_IP", None) if pod_ip == None: _, self.current_node_ip = get_host_name_ip() else: self.current_node_ip = pod_ip if not self.distribute_mode == DistributeMode.PS_HETER: assert self.current_node_ip in self.node_ips, "Can't find your local ip {%s} in args.servers and args.workers ips: {%s}" \ % (self.current_node_ip, self.node_ips) if self.current_node_ip in self.node_ips: self.node_rank = self.node_ips.index(self.current_node_ip) logger.debug( "parsed from args: node_ips:{} current_node_ip:{} node_rank:{}". format(self.node_ips, self.current_node_ip, self.node_rank)) def start_ps(self): if not self.current_node_ip in self.node_ips: return cluster = Cluster(hdfs=None) server_rank = 0 worker_rank = 0 heter_worker_rank = 0 for node_rank, ip in enumerate(self.node_ips): pod = Pod() pod.rank = node_rank pod.addr = ip for i in range(len(self.server_endpoints_ips)): if ip == self.server_endpoints_ips[i]: server = Trainer() server.endpoint = "%s:%s" % (ip, self.server_endpoints_port[i]) server.rank = server_rank server_rank += 1 pod.servers.append(server) for j in range(len(self.worker_endpoints_ips)): if ip == self.worker_endpoints_ips[j]: worker = Trainer() worker.endpoint = "%s:%s" % (ip, self.worker_endpoints_port[j]) worker.rank = worker_rank worker.stage = 1 worker_rank += 1 pod.workers.append(worker) for k in range(len(self.heter_worker_endpoints_ips)): if ip == self.heter_worker_endpoints_ips[k]: heter_worker = Trainer() heter_worker.endpoint = "%s:%s" % ( ip, self.heter_worker_endpoints_port[k]) heter_worker.rank = heter_worker_rank heter_worker.stage = self.stage_list[k] heter_worker_rank += 1 pod.heter_workers.append(heter_worker) cluster.pods.append(pod) pod = cluster.pods[self.node_rank] self.gloo_rendezvous_dir = tempfile.mkdtemp() self.procs = {"worker": [], "server": [], "heter_worker": []} self.cmds = {"worker": [], "server": [], "heter_worker": []} self.log_fns = {"worker": [], "server": [], "heter_worker": []} self.start_pod_server(self.args, pod) self.start_pod_worker(self.args, pod) if self.distribute_mode == DistributeMode.PS_HETER: self.start_pod_heter_worker(self.args, pod) logger.info( "Please check servers, workers and heter_worker logs in {}/workerlog.*, {}/serverlog.* and {}/heterlog.*". format(self.args.log_dir, self.args.log_dir, self.args.log_dir)) if len(self.procs["worker"]) > 0: for i, proc in enumerate(self.procs["worker"]): self.procs["worker"][i].proc.wait() if len(self.log_fns["worker"]) > 0: self.log_fns["worker"][i].close() logger.info( "all workers exit, going to finish parameter server and heter_worker." ) if len(self.procs["heter_worker"]) > 0: for i, proc in enumerate(self.procs["heter_worker"]): self.log_fns["heter_worker"][i].close() self.procs["heter_worker"][i].proc.terminate() logger.info("all heter_worker are killed") if len(self.procs["server"]) > 0: for i, proc in enumerate(self.procs["server"]): self.log_fns["server"][i].close() self.procs["server"][i].proc.terminate() logger.info("all parameter server are killed") else: if len(self.procs["server"]) > 0: for i, proc in enumerate(self.procs["server"]): self.procs["server"][i].proc.wait() if len(self.procs["heter_worker"]) > 0: for i, proc in enumerate(self.procs["heter_worker"]): self.procs["heter_worker"][i].proc.wait() if os.path.exists(self.gloo_rendezvous_dir): shutil.rmtree(self.gloo_rendezvous_dir) def start_pod_server(self, args, pod): default_env = os.environ.copy() current_env = copy.copy(default_env) current_env.pop("http_proxy", None) current_env.pop("https_proxy", None) for idx, cur_server in enumerate(pod.servers): if self.distribute_mode == DistributeMode.PS_HETER: proc_env = { "PADDLE_PSERVERS_IP_PORT_LIST": self.server_endpoints, "PADDLE_TRAINER_ENDPOINTS": self.worker_endpoints, "PADDLE_ALL_HETER_TRAINER_IP_PORT_LIST": self.heter_worker_endpoints, "PADDLE_PORT": cur_server.endpoint.split(":")[1], "TRAINING_ROLE": "PSERVER", "PADDLE_TRAINERS_NUM": str(self.worker_num), "POD_IP": cur_server.endpoint.split(":")[0], "PADDLE_WITH_GLOO": str(os.getenv("PADDLE_WITH_GLOO", "0")), "PADDLE_GLOO_RENDEZVOUS": "3", "PADDLE_GLOO_FS_PATH": self.gloo_rendezvous_dir, "PADDLE_GLOO_HTTP_ENDPOINT": self.http_port } else: proc_env = { "PADDLE_PSERVERS_IP_PORT_LIST": self.server_endpoints, "PADDLE_TRAINER_ENDPOINTS": self.worker_endpoints, "PADDLE_PORT": cur_server.endpoint.split(":")[1], "TRAINING_ROLE": "PSERVER", "PADDLE_TRAINERS_NUM": str(self.worker_num), "POD_IP": cur_server.endpoint.split(":")[0], "PADDLE_WITH_GLOO": str(os.getenv("PADDLE_WITH_GLOO", "0")), "PADDLE_GLOO_RENDEZVOUS": "3", "PADDLE_GLOO_FS_PATH": self.gloo_rendezvous_dir, "PADDLE_GLOO_HTTP_ENDPOINT": self.http_port } current_env.update(proc_env) cmd = [sys.executable, "-u", args.training_script ] + args.training_script_args self.cmds["server"].append(cmd) if idx == 0: logger.info( "Local server start {} processes. First process distributed " "environment info (Only For Debug): {}".format( len(pod.servers), pretty_print_envs(proc_env, ("Distributed Envs", "Value" )))) if args.log_dir is not None: os.system("mkdir -p {}".format(args.log_dir)) fn = open("%s/serverlog.%d" % (args.log_dir, idx), "w") self.log_fns["server"].append(fn) proc = subprocess.Popen( cmd, env=current_env, stdout=fn, stderr=fn) else: proc = subprocess.Popen(cmd, env=current_env) tp = TrainerProc() tp.proc = proc tp.rank = cur_server.rank tp.local_rank = idx tp.log_fn = fn tp.log_offset = fn.tell() if fn else None tp.cmd = cmd self.procs["server"].append(tp) def start_pod_worker(self, args, pod): default_env = os.environ.copy() current_env = copy.copy(default_env) current_env.pop("http_proxy", None) current_env.pop("https_proxy", None) heter_device_num = 0 device_list = [] if fluid.core.is_compiled_with_cuda(): device_list = get_gpus(args.gpus) heter_device_num = len(device_list) elif fluid.core.is_compiled_with_xpu(): heter_device_num = fluid.core.get_xpu_device_count() device_list = [str(x) for x in range(0, heter_device_num)] for idx, cur_worker in enumerate(pod.workers): device_id = "0" if heter_device_num == 0 else str(device_list[( idx) % heter_device_num]) if self.distribute_mode == DistributeMode.PS_HETER: proc_env = { "PADDLE_PSERVERS_IP_PORT_LIST": self.server_endpoints, "PADDLE_TRAINER_ENDPOINTS": self.worker_endpoints, "PADDLE_TRAINERS_NUM": str(self.worker_num), "PADDLE_STAGE_TRAINERS_NUM": str(self.stage_trainer_num), "STAGE_ID": "1", "STAGE_NUM": str(self.stage_num), "PADDLE_PREVIOUS_HETER_TRAINER_IP_PORT_LIST": "", "PADDLE_NEXT_HETER_TRAINER_IP_PORT_LIST": self.stage_heter_map[2], "PADDLE_ALL_HETER_TRAINER_IP_PORT_LIST": self.heter_worker_endpoints, "HETER_DEVICE_TYPE": self.stage_device_map[1], "TRAINING_ROLE": "TRAINER", "POD_IP": cur_worker.endpoint.split(":")[0], "PADDLE_PORT": cur_worker.endpoint.split(":")[1], "PADDLE_TRAINER_ID": str(cur_worker.rank), "PADDLE_WITH_GLOO": str(os.getenv("PADDLE_WITH_GLOO", "0")), "PADDLE_GLOO_RENDEZVOUS": "3", "PADDLE_GLOO_FS_PATH": self.gloo_rendezvous_dir, "FLAGS_selected_gpus": "0", "FLAGS_selected_xpus": "0", "CUDA_VISIBLE_DEVICES": device_id, "XPU_VISIBLE_DEVICES": device_id, "PADDLE_GLOO_HTTP_ENDPOINT": self.http_port } else: proc_env = { "PADDLE_PSERVERS_IP_PORT_LIST": self.server_endpoints, "PADDLE_TRAINER_ENDPOINTS": self.worker_endpoints, "PADDLE_TRAINERS_NUM": str(self.worker_num), "TRAINING_ROLE": "TRAINER", "POD_IP": cur_worker.endpoint.split(":")[0], "PADDLE_PORT": cur_worker.endpoint.split(":")[1], "PADDLE_TRAINER_ID": str(cur_worker.rank), "PADDLE_WITH_GLOO": str(os.getenv("PADDLE_WITH_GLOO", "0")), "PADDLE_GLOO_RENDEZVOUS": "3", "PADDLE_GLOO_FS_PATH": self.gloo_rendezvous_dir, "FLAGS_selected_gpus": "0", "FLAGS_selected_xpus": "0", "CUDA_VISIBLE_DEVICES": device_id, "XPU_VISIBLE_DEVICES": device_id, "PADDLE_GLOO_HTTP_ENDPOINT": self.http_port } current_env.update(proc_env) cmd = [sys.executable, "-u", args.training_script ] + args.training_script_args self.cmds["worker"].append(cmd) if idx == 0: logger.info( "Local worker start {} processes. First process distributed " "environment info (Only For Debug): {}".format( len(pod.workers), pretty_print_envs(proc_env, ("Distributed Envs", "Value" )))) if args.log_dir is not None: os.system("mkdir -p {}".format(args.log_dir)) fn = open("%s/workerlog.%d" % (args.log_dir, idx), "w") self.log_fns["worker"].append(fn) proc = subprocess.Popen( cmd, env=current_env, stdout=fn, stderr=fn) else: proc = subprocess.Popen(cmd, env=current_env) tp = TrainerProc() tp.proc = proc tp.rank = cur_worker.rank tp.local_rank = idx tp.log_fn = fn tp.log_offset = fn.tell() if fn else None tp.cmd = cmd self.procs["worker"].append(tp) def start_pod_heter_worker(self, args, pod): default_env = os.environ.copy() current_env = copy.copy(default_env) current_env.pop("http_proxy", None) current_env.pop("https_proxy", None) heter_device_num = 0 device_list = [] if fluid.core.is_compiled_with_cuda(): device_list = get_gpus(args.gpus) heter_device_num = len(device_list) elif fluid.core.is_compiled_with_xpu(): heter_device_num = fluid.core.get_xpu_device_count() device_list = [str(x) for x in range(0, heter_device_num)] for idx, cur_heter_worker in enumerate(pod.heter_workers): device_id = "0" if heter_device_num == 0 else str(device_list[( idx) % heter_device_num]) stage_id = cur_heter_worker.stage proc_env = { "PADDLE_PSERVERS_IP_PORT_LIST": self.server_endpoints, "PADDLE_TRAINER_ENDPOINTS": self.worker_endpoints, "PADDLE_NEXT_HETER_TRAINER_IP_PORT_LIST": self.stage_heter_map[stage_id + 1] if stage_id <= self.stage_num - 1 else "", "PADDLE_PREVIOUS_HETER_TRAINER_IP_PORT_LIST": self.stage_heter_map[stage_id - 1], "PADDLE_ALL_HETER_TRAINER_IP_PORT_LIST": self.heter_worker_endpoints, "HETER_DEVICE_TYPE": self.stage_device_map[stage_id], "STAGE_ID": str(stage_id), "STAGE_NUM": str(self.stage_num), "PADDLE_PORT": cur_heter_worker.endpoint.split(":")[1], "TRAINING_ROLE": "HETER_TRAINER", "PADDLE_TRAINERS_NUM": str(self.worker_num), "PADDLE_STAGE_TRAINERS_NUM": str(self.stage_trainer_num), "POD_IP": cur_heter_worker.endpoint.split(":")[0], "PADDLE_WITH_GLOO": str(os.getenv("PADDLE_WITH_GLOO", "0")), "PADDLE_GLOO_RENDEZVOUS": "3", "PADDLE_GLOO_FS_PATH": self.gloo_rendezvous_dir, "FLAGS_selected_gpus": "0", "FLAGS_selected_xpus": "0", "CUDA_VISIBLE_DEVICES": device_id, "XPU_VISIBLE_DEVICES": device_id, "PADDLE_GLOO_HTTP_ENDPOINT": self.http_port } current_env.update(proc_env) cmd = [sys.executable, "-u", args.training_script ] + args.training_script_args self.cmds["heter_worker"].append(cmd) if idx == 0: logger.info( "Local heter_worker start {} processes. First process distributed " "environment info (Only For Debug): {}".format( len(pod.heter_workers), pretty_print_envs(proc_env, ("Distributed Envs", "Value" )))) if args.log_dir is not None: os.system("mkdir -p {}".format(args.log_dir)) fn = open("%s/heterlog.%d" % (args.log_dir, idx), "w") self.log_fns["heter_worker"].append(fn) proc = subprocess.Popen( cmd, env=current_env, stdout=fn, stderr=fn) else: proc = subprocess.Popen(cmd, env=current_env) tp = TrainerProc() tp.proc = proc tp.rank = cur_heter_worker.rank tp.local_rank = idx tp.log_fn = fn tp.log_offset = fn.tell() if fn else None tp.cmd = cmd self.procs["heter_worker"].append(tp) def check_backend(backend): if backend not in ['nccl', 'gloo', 'bkcl', 'auto']: raise ValueError( "paddle.distributed initialize error, " "backend argument can only be one of 'nccl', 'gloo', 'bkcl', 'auto', but got %s" % backend) if backend == 'nccl' and not fluid.core.is_compiled_with_cuda(): raise ValueError( "paddle.distributed initialize error, " "your paddle is not compiled with cuda but you assign 'nccl' as backend." ) if backend == 'bkcl' and not fluid.core.is_compiled_with_xpu(): raise ValueError( "paddle.distributed initialize error, " "your paddle is not compiled with xpu but you assign 'bkcl' as backend." ) def block_windows_and_macos(backend): if backend != 'gloo': return if utils.OS_NAME.startswith('darwin'): raise ValueError( "You are going to using gloo on macos, but currently is not supported" ) if utils.IS_WINDOWS: raise ValueError( "You are going to using gloo on windows, but currently is not supported" ) def get_backend_by_compile_flag(): if fluid.core.is_compiled_with_cuda(): return 'nccl' if fluid.core.is_compiled_with_xpu(): return 'bkcl' return 'gloo'

true

f7f50f4589dcc8f5ffae7557b59427a601c3edb8

11,936

py

Python

mystore/serializers.py

oreon/rtbp

c35f1a712bdc36c725e68a98b21105654c5f5fdc

[ "MIT" ]

1

2017-12-12T17:28:16.000Z

mystore/serializers.py

oreon/rtbp

c35f1a712bdc36c725e68a98b21105654c5f5fdc

[ "MIT" ]

null

mystore/serializers.py

oreon/rtbp

c35f1a712bdc36c725e68a98b21105654c5f5fdc

[ "MIT" ]

null

import sys from django.db import transaction from django.forms.models import ModelForm from rest_framework import serializers, status from rest_framework.response import Response from users.serializers import AppUserLookupSerializer from .models import * class ProductLookupSerializer(serializers.ModelSerializer): displayName = serializers.ReadOnlyField() class Meta: model = Product fields = ('displayName', 'id',) class CategoryLookupSerializer(serializers.ModelSerializer): displayName = serializers.ReadOnlyField() class Meta: model = Category fields = ('displayName', 'id',) class CustomerLookupSerializer(serializers.ModelSerializer): displayName = serializers.ReadOnlyField() class Meta: model = Customer fields = ('displayName', 'id',) class CustomerOrderLookupSerializer(serializers.ModelSerializer): displayName = serializers.ReadOnlyField() class Meta: model = CustomerOrder fields = ('displayName', 'id',) class OrderItemLookupSerializer(serializers.ModelSerializer): displayName = serializers.ReadOnlyField() class Meta: model = OrderItem fields = ('displayName', 'id',) class EmployeeLookupSerializer(serializers.ModelSerializer): displayName = serializers.ReadOnlyField() class Meta: model = Employee fields = ('displayName', 'id',) class CustomerReviewLookupSerializer(serializers.ModelSerializer): displayName = serializers.ReadOnlyField() class Meta: model = CustomerReview fields = ('displayName', 'id',) class ProductSerializer(serializers.ModelSerializer): displayName = serializers.ReadOnlyField() class Meta: model = Product class CategorySerializer(serializers.ModelSerializer): displayName = serializers.ReadOnlyField() class Meta: model = Category class OrderItemSerializer(serializers.ModelSerializer): displayName = serializers.ReadOnlyField() customerOrder = CustomerOrderLookupSerializer() product = ProductLookupSerializer() class Meta: model = OrderItem class CustomerOrderSerializer(serializers.ModelSerializer): displayName = serializers.ReadOnlyField() customer = CustomerLookupSerializer() orderItems = OrderItemSerializer(many=True, read_only = True) class Meta: model = CustomerOrder class CustomerReviewSerializer(serializers.ModelSerializer): displayName = serializers.ReadOnlyField() customer = CustomerLookupSerializer() class Meta: model = CustomerReview class CustomerSerializer(serializers.ModelSerializer): displayName = serializers.ReadOnlyField() customerOrders = CustomerOrderSerializer(many=True, read_only = True) customerReviews = CustomerReviewSerializer(many=True, read_only = True) class Meta: model = Customer class EmployeeSerializer(serializers.ModelSerializer): displayName = serializers.ReadOnlyField() appUser = AppUserLookupSerializer() class Meta: model = Employee class ProductWritableSerializer(serializers.ModelSerializer): displayName = serializers.ReadOnlyField() #image = serializers.ReadOnlyField() class Meta: model = Product class CategoryWritableSerializer(serializers.ModelSerializer): displayName = serializers.ReadOnlyField() class Meta: model = Category class OrderItemWritableSerializer(serializers.ModelSerializer): displayName = serializers.ReadOnlyField() customerOrder_displayName = serializers.ReadOnlyField(source='customerOrderDisplayName') product_displayName = serializers.ReadOnlyField(source='productDisplayName') product = serializers.PrimaryKeyRelatedField(queryset = Product.objects.all()) class Meta: model = OrderItem exclude = ('customerOrder',) class CustomerOrderWritableSerializer(serializers.ModelSerializer): displayName = serializers.ReadOnlyField() customer_displayName = serializers.ReadOnlyField(source='customerDisplayName') orderItems = OrderItemWritableSerializer(many=True) customer = serializers.PrimaryKeyRelatedField(queryset=Customer.objects.all()) @transaction.atomic def create(self, validated_data): try: orderItemsCurrent = validated_data.pop('orderItems') customerOrder = CustomerOrder.objects.create(**validated_data) for item in orderItemsCurrent: item['customerOrder'] = customerOrder s = OrderItemWritableSerializer(data=item) if(s.is_valid()): s.create(item) return customerOrder except : e = sys.exc_info()[0] print (e) raise @transaction.atomic def update(self, instance, validated_data): try: self.updateOrderItems(instance, validated_data) return super(CustomerOrderWritableSerializer, self).update( instance, validated_data) except : e = sys.exc_info()[0] def updateOrderItems(self, instance , validated_data): if not 'orderItems' in validated_data.keys() : return; orderItemsCurrent = validated_data.pop('orderItems') ids = [item['id'] for item in orderItemsCurrent if 'id' in item.keys() ] for item in instance.orderItems.all() : if item.id not in ids: item.delete() for item in orderItemsCurrent: OrderItem(customerOrder=instance, **item).save() class Meta: model = CustomerOrder exclude = ('customer',) class CustomerReviewWritableSerializer(serializers.ModelSerializer): displayName = serializers.ReadOnlyField() customer_displayName = serializers.ReadOnlyField(source='customerDisplayName') class Meta: model = CustomerReview exclude = ('customer',) class CustomerForm(ModelForm): class Meta: model = Customer fields = '__all__' class CustomerWritableSerializer(serializers.ModelSerializer): displayName = serializers.ReadOnlyField() customerOrders = CustomerOrderWritableSerializer(many=True) customerReviews = CustomerReviewWritableSerializer(many=True) def create(self, validated_data): form = CustomerForm(data=self.context['request'].data) if form.is_valid(): instance = form.save(commit=False) instance.save() return instance return Response(form.errors, status=status.HTTP_400_BAD_REQUEST) @transaction.atomic def createme(self, validated_data): customerOrdersCurrent = validated_data.pop('customerOrders') customerReviewsCurrent = validated_data.pop('customerReviews') customer = Customer.objects.create(**validated_data) for item in customerOrdersCurrent: item['customer'] = customer CustomerOrder.objects.create_Or_update_custom(item) for item in customerReviewsCurrent: CustomerReview(customer=customer, **item).save() return customer @transaction.atomic def update(self, instance, validated_data): customerOrdersCurrent = validated_data.pop('customerOrders') customerReviewsCurrent = validated_data.pop('customerReviews') instance.customerOrders.all().delete() for item in customerOrdersCurrent: item['customer'] = instance CustomerOrder.objects.create_Or_update_custom(item) self.updateCustomerReviews(instance, validated_data) return super(CustomerWritableSerializer, self).update( instance, validated_data) def updateCustomerOrders(self, instance , validated_data): if not 'customerOrders' in validated_data.keys() : return; customerOrdersCurrent = validated_data.pop('customerOrders') for item in customerOrdersCurrent: #print(item['notes']) if(not 'id' in item.keys() ): #CustomerOrder.objects.create(item) item['customer'] = instance s = CustomerOrderWritableSerializer(data=item) if(s.is_valid()): s.create(item) else: raise Exception(s.errors) #co.orderItems = item['orderItems'] #co.notes = item['notes'] #print(co.orderItems) #co.save() #CustomerOrder.objects.create(**item) else: CustomerOrder.objects.update( **item) def updateCustomerReviews(self, instance , validated_data): if not 'customerReviews' in validated_data.keys() : return; customerReviewsCurrent = validated_data.pop('customerReviews') ids = [item['id'] for item in customerReviewsCurrent if 'id' in item.keys() ] for item in instance.customerReviews.all() : if item.id not in ids: item.delete() for item in customerReviewsCurrent: CustomerReview(customer=instance, **item).save() class Meta: model = Customer class EmployeeWritableSerializer(serializers.ModelSerializer): displayName = serializers.ReadOnlyField() appUser_displayName = serializers.ReadOnlyField(source='appUserDisplayName') class Meta: model = Employee class FullProductSerializer(ProductSerializer): class Meta(ProductSerializer.Meta): model = Product class FullCategorySerializer(CategorySerializer): class Meta(CategorySerializer.Meta): model = Category class FullCustomerSerializer(CustomerSerializer): class Meta(CustomerSerializer.Meta): model = Customer class FullCustomerOrderSerializer(CustomerOrderSerializer): class Meta(CustomerOrderSerializer.Meta): model = CustomerOrder class FullOrderItemSerializer(OrderItemSerializer): class Meta(OrderItemSerializer.Meta): model = OrderItem class FullEmployeeSerializer(EmployeeSerializer): class Meta(EmployeeSerializer.Meta): model = Employee class FullCustomerReviewSerializer(CustomerReviewSerializer): class Meta(CustomerReviewSerializer.Meta): model = CustomerReview

24.559671

98

0.594169

import sys from django.db import transaction from django.forms.models import ModelForm from rest_framework import serializers, status from rest_framework.response import Response from users.serializers import AppUserLookupSerializer from .models import * class ProductLookupSerializer(serializers.ModelSerializer): displayName = serializers.ReadOnlyField() class Meta: model = Product fields = ('displayName', 'id',) class CategoryLookupSerializer(serializers.ModelSerializer): displayName = serializers.ReadOnlyField() class Meta: model = Category fields = ('displayName', 'id',) class CustomerLookupSerializer(serializers.ModelSerializer): displayName = serializers.ReadOnlyField() class Meta: model = Customer fields = ('displayName', 'id',) class CustomerOrderLookupSerializer(serializers.ModelSerializer): displayName = serializers.ReadOnlyField() class Meta: model = CustomerOrder fields = ('displayName', 'id',) class OrderItemLookupSerializer(serializers.ModelSerializer): displayName = serializers.ReadOnlyField() class Meta: model = OrderItem fields = ('displayName', 'id',) class EmployeeLookupSerializer(serializers.ModelSerializer): displayName = serializers.ReadOnlyField() class Meta: model = Employee fields = ('displayName', 'id',) class CustomerReviewLookupSerializer(serializers.ModelSerializer): displayName = serializers.ReadOnlyField() class Meta: model = CustomerReview fields = ('displayName', 'id',) class ProductSerializer(serializers.ModelSerializer): displayName = serializers.ReadOnlyField() class Meta: model = Product class CategorySerializer(serializers.ModelSerializer): displayName = serializers.ReadOnlyField() class Meta: model = Category class OrderItemSerializer(serializers.ModelSerializer): displayName = serializers.ReadOnlyField() customerOrder = CustomerOrderLookupSerializer() product = ProductLookupSerializer() class Meta: model = OrderItem class CustomerOrderSerializer(serializers.ModelSerializer): displayName = serializers.ReadOnlyField() customer = CustomerLookupSerializer() orderItems = OrderItemSerializer(many=True, read_only = True) class Meta: model = CustomerOrder class CustomerReviewSerializer(serializers.ModelSerializer): displayName = serializers.ReadOnlyField() customer = CustomerLookupSerializer() class Meta: model = CustomerReview class CustomerSerializer(serializers.ModelSerializer): displayName = serializers.ReadOnlyField() customerOrders = CustomerOrderSerializer(many=True, read_only = True) customerReviews = CustomerReviewSerializer(many=True, read_only = True) class Meta: model = Customer class EmployeeSerializer(serializers.ModelSerializer): displayName = serializers.ReadOnlyField() appUser = AppUserLookupSerializer() class Meta: model = Employee class ProductWritableSerializer(serializers.ModelSerializer): displayName = serializers.ReadOnlyField() class Meta: model = Product class CategoryWritableSerializer(serializers.ModelSerializer): displayName = serializers.ReadOnlyField() class Meta: model = Category class OrderItemWritableSerializer(serializers.ModelSerializer): displayName = serializers.ReadOnlyField() customerOrder_displayName = serializers.ReadOnlyField(source='customerOrderDisplayName') product_displayName = serializers.ReadOnlyField(source='productDisplayName') product = serializers.PrimaryKeyRelatedField(queryset = Product.objects.all()) class Meta: model = OrderItem exclude = ('customerOrder',) class CustomerOrderWritableSerializer(serializers.ModelSerializer): displayName = serializers.ReadOnlyField() customer_displayName = serializers.ReadOnlyField(source='customerDisplayName') orderItems = OrderItemWritableSerializer(many=True) customer = serializers.PrimaryKeyRelatedField(queryset=Customer.objects.all()) @transaction.atomic def create(self, validated_data): try: orderItemsCurrent = validated_data.pop('orderItems') customerOrder = CustomerOrder.objects.create(**validated_data) for item in orderItemsCurrent: item['customerOrder'] = customerOrder s = OrderItemWritableSerializer(data=item) if(s.is_valid()): s.create(item) return customerOrder except : e = sys.exc_info()[0] print (e) raise @transaction.atomic def update(self, instance, validated_data): try: self.updateOrderItems(instance, validated_data) return super(CustomerOrderWritableSerializer, self).update( instance, validated_data) except : e = sys.exc_info()[0] def updateOrderItems(self, instance , validated_data): if not 'orderItems' in validated_data.keys() : return; orderItemsCurrent = validated_data.pop('orderItems') ids = [item['id'] for item in orderItemsCurrent if 'id' in item.keys() ] for item in instance.orderItems.all() : if item.id not in ids: item.delete() for item in orderItemsCurrent: OrderItem(customerOrder=instance, **item).save() class Meta: model = CustomerOrder exclude = ('customer',) class CustomerReviewWritableSerializer(serializers.ModelSerializer): displayName = serializers.ReadOnlyField() customer_displayName = serializers.ReadOnlyField(source='customerDisplayName') class Meta: model = CustomerReview exclude = ('customer',) class CustomerForm(ModelForm): class Meta: model = Customer fields = '__all__' class CustomerWritableSerializer(serializers.ModelSerializer): displayName = serializers.ReadOnlyField() customerOrders = CustomerOrderWritableSerializer(many=True) customerReviews = CustomerReviewWritableSerializer(many=True) def create(self, validated_data): form = CustomerForm(data=self.context['request'].data) if form.is_valid(): instance = form.save(commit=False) instance.save() return instance return Response(form.errors, status=status.HTTP_400_BAD_REQUEST) @transaction.atomic def createme(self, validated_data): customerOrdersCurrent = validated_data.pop('customerOrders') customerReviewsCurrent = validated_data.pop('customerReviews') customer = Customer.objects.create(**validated_data) for item in customerOrdersCurrent: item['customer'] = customer CustomerOrder.objects.create_Or_update_custom(item) for item in customerReviewsCurrent: CustomerReview(customer=customer, **item).save() return customer @transaction.atomic def update(self, instance, validated_data): customerOrdersCurrent = validated_data.pop('customerOrders') customerReviewsCurrent = validated_data.pop('customerReviews') instance.customerOrders.all().delete() for item in customerOrdersCurrent: item['customer'] = instance CustomerOrder.objects.create_Or_update_custom(item) self.updateCustomerReviews(instance, validated_data) return super(CustomerWritableSerializer, self).update( instance, validated_data) def updateCustomerOrders(self, instance , validated_data): if not 'customerOrders' in validated_data.keys() : return; customerOrdersCurrent = validated_data.pop('customerOrders') for item in customerOrdersCurrent: if(not 'id' in item.keys() ): item['customer'] = instance s = CustomerOrderWritableSerializer(data=item) if(s.is_valid()): s.create(item) else: raise Exception(s.errors) else: CustomerOrder.objects.update( **item) def updateCustomerReviews(self, instance , validated_data): if not 'customerReviews' in validated_data.keys() : return; customerReviewsCurrent = validated_data.pop('customerReviews') ids = [item['id'] for item in customerReviewsCurrent if 'id' in item.keys() ] for item in instance.customerReviews.all() : if item.id not in ids: item.delete() for item in customerReviewsCurrent: CustomerReview(customer=instance, **item).save() class Meta: model = Customer class EmployeeWritableSerializer(serializers.ModelSerializer): displayName = serializers.ReadOnlyField() appUser_displayName = serializers.ReadOnlyField(source='appUserDisplayName') class Meta: model = Employee class FullProductSerializer(ProductSerializer): class Meta(ProductSerializer.Meta): model = Product class FullCategorySerializer(CategorySerializer): class Meta(CategorySerializer.Meta): model = Category class FullCustomerSerializer(CustomerSerializer): class Meta(CustomerSerializer.Meta): model = Customer class FullCustomerOrderSerializer(CustomerOrderSerializer): class Meta(CustomerOrderSerializer.Meta): model = CustomerOrder class FullOrderItemSerializer(OrderItemSerializer): class Meta(OrderItemSerializer.Meta): model = OrderItem class FullEmployeeSerializer(EmployeeSerializer): class Meta(EmployeeSerializer.Meta): model = Employee class FullCustomerReviewSerializer(CustomerReviewSerializer): class Meta(CustomerReviewSerializer.Meta): model = CustomerReview

true

f7f50f52b6d3518e10c5321694f6c4aec8a31d4c

1,767

py

Python

ee/api/chalicelib/core/authorizers.py

champkeh/openreplay

440634dca1e78464e96f9397105d04b5c3cecdfd

[ "MIT" ]

1

2021-09-28T15:24:31.000Z

ee/api/chalicelib/core/authorizers.py

aayushgautam/openreplay

3298230c3a04fe537794bf396bdaf695c81301c6

[ "MIT" ]

2

2022-02-15T00:07:39.000Z

2022-02-27T22:54:49.000Z

ee/api/chalicelib/core/authorizers.py

aayushgautam/openreplay

3298230c3a04fe537794bf396bdaf695c81301c6

[ "MIT" ]

null

from chalicelib.utils.helper import environ import jwt from chalicelib.utils import helper from chalicelib.utils.TimeUTC import TimeUTC from chalicelib.core import tenants from chalicelib.core import users def jwt_authorizer(token): token = token.split(" ") if len(token) != 2 or token[0].lower() != "bearer": return None try: payload = jwt.decode( token[1], environ["jwt_secret"], algorithms=environ["jwt_algorithm"], audience=[f"plugin:{helper.get_stage_name()}", f"front:{helper.get_stage_name()}"] ) except jwt.ExpiredSignatureError: print("! JWT Expired signature") return None except BaseException as e: print("! JWT Base Exception") return None return payload def jwt_context(context): user = users.get(user_id=context["userId"], tenant_id=context["tenantId"]) if user is None: return None return { "tenantId": context["tenantId"], "userId": context["userId"], **user } def generate_jwt(id, tenant_id, iat, aud, exp=None): token = jwt.encode( payload={ "userId": id, "tenantId": tenant_id, "exp": iat // 1000 + int(environ["jwt_exp_delta_seconds"]) + TimeUTC.get_utc_offset() // 1000 \ if exp is None else exp, "iss": environ["jwt_issuer"], "iat": iat // 1000, "aud": aud }, key=environ["jwt_secret"], algorithm=environ["jwt_algorithm"] ) return token.decode("utf-8") def api_key_authorizer(token): t = tenants.get_by_api_key(token) if t is not None: t["createdAt"] = TimeUTC.datetime_to_timestamp(t["createdAt"]) return t

28.047619

107

0.601585

from chalicelib.utils.helper import environ import jwt from chalicelib.utils import helper from chalicelib.utils.TimeUTC import TimeUTC from chalicelib.core import tenants from chalicelib.core import users def jwt_authorizer(token): token = token.split(" ") if len(token) != 2 or token[0].lower() != "bearer": return None try: payload = jwt.decode( token[1], environ["jwt_secret"], algorithms=environ["jwt_algorithm"], audience=[f"plugin:{helper.get_stage_name()}", f"front:{helper.get_stage_name()}"] ) except jwt.ExpiredSignatureError: print("! JWT Expired signature") return None except BaseException as e: print("! JWT Base Exception") return None return payload def jwt_context(context): user = users.get(user_id=context["userId"], tenant_id=context["tenantId"]) if user is None: return None return { "tenantId": context["tenantId"], "userId": context["userId"], **user } def generate_jwt(id, tenant_id, iat, aud, exp=None): token = jwt.encode( payload={ "userId": id, "tenantId": tenant_id, "exp": iat // 1000 + int(environ["jwt_exp_delta_seconds"]) + TimeUTC.get_utc_offset() // 1000 \ if exp is None else exp, "iss": environ["jwt_issuer"], "iat": iat // 1000, "aud": aud }, key=environ["jwt_secret"], algorithm=environ["jwt_algorithm"] ) return token.decode("utf-8") def api_key_authorizer(token): t = tenants.get_by_api_key(token) if t is not None: t["createdAt"] = TimeUTC.datetime_to_timestamp(t["createdAt"]) return t

true

f7f511afa62f0c28a2ccdcf23413a24fb55f76f9

7,307

py

Python

adwords_video_csv.py

Gulshan016/vogon

ef2048c57d43fdfb1ac5af0ad7b4a23bf16cb1c4

[ "Apache-2.0" ]

98

2015-01-20T05:57:01.000Z

2022-01-04T12:03:39.000Z

adwords_video_csv.py

Gulshan016/vogon

ef2048c57d43fdfb1ac5af0ad7b4a23bf16cb1c4

[ "Apache-2.0" ]

13

2016-08-28T05:58:59.000Z

2021-01-14T10:55:01.000Z

adwords_video_csv.py

Gulshan016/vogon

ef2048c57d43fdfb1ac5af0ad7b4a23bf16cb1c4

[ "Apache-2.0" ]

57

2015-01-24T09:23:34.000Z

2021-12-09T06:18:27.000Z

# vim: set fileencoding=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 required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import csv SECTION_TYPE_HEADERS = { 'campaign': "Input campaigns here", 'ad': "Input ads here", 'targeting_group': "Input targeting groups here", 'campaign_target': "Input targets here (campaign settings)", 'target': "Input targets here" } CSV_COLUMNS = 15 class AwvCsv(): def __init__(self, campaigns, ads, targets): self.sections = [] campaign_values = [] targeting_group_values = [] campaign_target_values = [] target_values = [] targeting_groups_by_campaign = {} for c in campaigns.values(): values = { 'Action': "Add", 'Status': c['Status'], 'Campaign': c['name'], 'Budget': c['Budget'], 'Budget ID': "#n/a", 'Network': c['Network'], 'Delivery method': c['Delivery method'], 'Start date': c['Start date'], 'End date': c['End date'], 'Ad rotation': c['Ad rotation'], 'Frequency cap': c['Frequency cap'], 'Mobile bid modifier': c['Mobile bid modifier'] } campaign_values.append(values) # Target types here: https://support.google.com/adwords/answer/3344649?hl=en # We can have more than one targeting per video, so iterating i = 1; for t in targets[c['name']]: istring = "%03d" % i # Creating the target group targeting_group_name = c['name'] + " Targeting Group_" + istring values = { 'Action': "Add", 'Status': c['Status'], 'Targeting group': targeting_group_name, 'Campaign': c['name'], 'Max CPV': c['Max CPV'] } targeting_group_values.append(values) # Putting the target groups in a dict so the ads can refer to it later on campaign_targeting_groups = targeting_groups_by_campaign.setdefault(c['name'], []) campaign_targeting_groups.append(targeting_group_name) # Targeting comes in two flavors: campaign and target group (if none specified, then target group) target_level = t.get('level', None) # You can concatenate targets by separating them with a comma target_array = t['value'].split(",") for tgv in target_array: if target_level is not None and target_level == 'Campaign': values = { 'Action': "Add", 'Type': t['type'], 'Campaign target': tgv, 'Campaign': c['name'] } campaign_target_values.append(values) else: values = { 'Action': "Add", 'Type': t['type'], 'Status': 'Enabled', 'Target': tgv, 'Targeting group': targeting_group_name, 'Max CPV' : t.get('max_cpv', '#n/a') } target_values.append(values) i += 1 self.add_section(campaign_values, 'campaign') self.add_section(targeting_group_values, 'targeting_group') self.add_section(campaign_target_values, 'campaign_target') self.add_section(target_values, 'target') ad_values = [] for ad in ads.values(): target_groups_for_this_ad = ", ".join(targeting_groups_by_campaign[ad['Campaign']]) values = { 'Action': "Add", 'Status': campaigns.values()[0]['Status'], 'Ad': ad['name'], 'Video id': ad['Video id'], 'Thumbnail': ad['Thumbnail'], 'Headline': ad['Headline'], 'Description line one': ad['Description line one'], 'Description line two': ad['Description line two'], 'Display Url': ad['Display Url'], 'Destination Url': ad['Destination Url'], 'YouTube destination': ad['YouTube destination'], 'Showing on': ad['Showing on'], 'Companion banner': ad['Companion banner'], 'Enable ad for': target_groups_for_this_ad, 'Campaign': ad['Campaign'] } ad_values.append(values) self.add_section(ad_values, 'ad') def add_section(self, values, type): section = AwvCsvSection(values, type) self.sections.append(section) def get_csv(self): retval = [] for s in self.sections: s_csv = s.get_csv() if s_csv is not None and len(s_csv) > 0: retval += s_csv for i in range(0, 2): retval.append(pad_line([])) return retval def write_to_file(self, file_name): with open(file_name, 'w') as f: csvwriter = csv.writer( f, delimiter=',', quotechar='"', quoting=csv.QUOTE_MINIMAL) csvwriter.writerows(self.get_csv()) class AwvCsvSection(): def __init__(self, values, section_type, locale='en_US'): """Create a new AdWords for Video CSV section. Arguments: values -- array of dictionaries, each dict represents one line in the CSV. the keys of the first values are used for column headers. section_type -- the type of entity represented in the section, such as ad and campaign. locale -- ISO 639 language code. """ self.values = values self.section_type = section_type self.locale = locale def get_csv(self): retval = [] if len(self.values) > 0: retval.append(pad_line([SECTION_TYPE_HEADERS[self.section_type], "locale=%s" % (self.locale)])) column_header = self.values[0].keys() retval.append(pad_line([c.encode('utf-8') for c in column_header])) for line in self.values: retval.append(pad_line([c.encode('utf-8') for c in line.values()])) return retval def pad_line(arr): return arr + ([None] * (CSV_COLUMNS - len(arr)))

40.594444

114

0.517449

import csv SECTION_TYPE_HEADERS = { 'campaign': "Input campaigns here", 'ad': "Input ads here", 'targeting_group': "Input targeting groups here", 'campaign_target': "Input targets here (campaign settings)", 'target': "Input targets here" } CSV_COLUMNS = 15 class AwvCsv(): def __init__(self, campaigns, ads, targets): self.sections = [] campaign_values = [] targeting_group_values = [] campaign_target_values = [] target_values = [] targeting_groups_by_campaign = {} for c in campaigns.values(): values = { 'Action': "Add", 'Status': c['Status'], 'Campaign': c['name'], 'Budget': c['Budget'], 'Budget ID': "#n/a", 'Network': c['Network'], 'Delivery method': c['Delivery method'], 'Start date': c['Start date'], 'End date': c['End date'], 'Ad rotation': c['Ad rotation'], 'Frequency cap': c['Frequency cap'], 'Mobile bid modifier': c['Mobile bid modifier'] } campaign_values.append(values) i = 1; for t in targets[c['name']]: istring = "%03d" % i targeting_group_name = c['name'] + " Targeting Group_" + istring values = { 'Action': "Add", 'Status': c['Status'], 'Targeting group': targeting_group_name, 'Campaign': c['name'], 'Max CPV': c['Max CPV'] } targeting_group_values.append(values) campaign_targeting_groups = targeting_groups_by_campaign.setdefault(c['name'], []) campaign_targeting_groups.append(targeting_group_name) target_level = t.get('level', None) target_array = t['value'].split(",") for tgv in target_array: if target_level is not None and target_level == 'Campaign': values = { 'Action': "Add", 'Type': t['type'], 'Campaign target': tgv, 'Campaign': c['name'] } campaign_target_values.append(values) else: values = { 'Action': "Add", 'Type': t['type'], 'Status': 'Enabled', 'Target': tgv, 'Targeting group': targeting_group_name, 'Max CPV' : t.get('max_cpv', '#n/a') } target_values.append(values) i += 1 self.add_section(campaign_values, 'campaign') self.add_section(targeting_group_values, 'targeting_group') self.add_section(campaign_target_values, 'campaign_target') self.add_section(target_values, 'target') ad_values = [] for ad in ads.values(): target_groups_for_this_ad = ", ".join(targeting_groups_by_campaign[ad['Campaign']]) values = { 'Action': "Add", 'Status': campaigns.values()[0]['Status'], 'Ad': ad['name'], 'Video id': ad['Video id'], 'Thumbnail': ad['Thumbnail'], 'Headline': ad['Headline'], 'Description line one': ad['Description line one'], 'Description line two': ad['Description line two'], 'Display Url': ad['Display Url'], 'Destination Url': ad['Destination Url'], 'YouTube destination': ad['YouTube destination'], 'Showing on': ad['Showing on'], 'Companion banner': ad['Companion banner'], 'Enable ad for': target_groups_for_this_ad, 'Campaign': ad['Campaign'] } ad_values.append(values) self.add_section(ad_values, 'ad') def add_section(self, values, type): section = AwvCsvSection(values, type) self.sections.append(section) def get_csv(self): retval = [] for s in self.sections: s_csv = s.get_csv() if s_csv is not None and len(s_csv) > 0: retval += s_csv for i in range(0, 2): retval.append(pad_line([])) return retval def write_to_file(self, file_name): with open(file_name, 'w') as f: csvwriter = csv.writer( f, delimiter=',', quotechar='"', quoting=csv.QUOTE_MINIMAL) csvwriter.writerows(self.get_csv()) class AwvCsvSection(): def __init__(self, values, section_type, locale='en_US'): self.values = values self.section_type = section_type self.locale = locale def get_csv(self): retval = [] if len(self.values) > 0: retval.append(pad_line([SECTION_TYPE_HEADERS[self.section_type], "locale=%s" % (self.locale)])) column_header = self.values[0].keys() retval.append(pad_line([c.encode('utf-8') for c in column_header])) for line in self.values: retval.append(pad_line([c.encode('utf-8') for c in line.values()])) return retval def pad_line(arr): return arr + ([None] * (CSV_COLUMNS - len(arr)))

true

f7f511bd961d8d0f7c4276bbddbfe33b8b7bed08

1,375

py

Python

api/migrations/0009_auto_20180607_1905.py

BehindLoader/bandcamp-parser

bb1d2278d8275bd29888ce9a4fd5627400543cd0

[ "MIT" ]

null

api/migrations/0009_auto_20180607_1905.py

BehindLoader/bandcamp-parser

bb1d2278d8275bd29888ce9a4fd5627400543cd0

[ "MIT" ]

null

api/migrations/0009_auto_20180607_1905.py

BehindLoader/bandcamp-parser

bb1d2278d8275bd29888ce9a4fd5627400543cd0

[ "MIT" ]

null

# Generated by Django 2.0.5 on 2018-06-07 16:05 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('api', '0008_sysactions'), ] operations = [ migrations.CreateModel( name='SysQueue', fields=[ ('id', models.AutoField(primary_key=True, serialize=False)), ('model', models.CharField(choices=[('TAG', 'Теги'), ('RELEASE', 'Релиз'), ('ARTIST', 'Исполнитель'), ('TRACK', 'Композиция')], max_length=128, verbose_name='Модель')), ('act', models.CharField(choices=[('ADD', 'Добавление'), ('EDIT', 'Редактирование'), ('DELETE', 'Удаление')], max_length=128, verbose_name='Действие')), ('value', models.CharField(default='{}', max_length=128, verbose_name='Значение (Опционально)')), ('scheduled', models.DateTimeField(null=True, verbose_name='Назначено на')), ('created', models.DateTimeField(auto_now_add=True, verbose_name='Создано')), ], options={ 'verbose_name': 'Участник очереди', 'verbose_name_plural': 'Участники очереди', }, ), migrations.AlterModelOptions( name='sysactions', options={'verbose_name': 'Действие', 'verbose_name_plural': 'Действия'}, ), ]

41.666667

184

0.576727

from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('api', '0008_sysactions'), ] operations = [ migrations.CreateModel( name='SysQueue', fields=[ ('id', models.AutoField(primary_key=True, serialize=False)), ('model', models.CharField(choices=[('TAG', 'Теги'), ('RELEASE', 'Релиз'), ('ARTIST', 'Исполнитель'), ('TRACK', 'Композиция')], max_length=128, verbose_name='Модель')), ('act', models.CharField(choices=[('ADD', 'Добавление'), ('EDIT', 'Редактирование'), ('DELETE', 'Удаление')], max_length=128, verbose_name='Действие')), ('value', models.CharField(default='{}', max_length=128, verbose_name='Значение (Опционально)')), ('scheduled', models.DateTimeField(null=True, verbose_name='Назначено на')), ('created', models.DateTimeField(auto_now_add=True, verbose_name='Создано')), ], options={ 'verbose_name': 'Участник очереди', 'verbose_name_plural': 'Участники очереди', }, ), migrations.AlterModelOptions( name='sysactions', options={'verbose_name': 'Действие', 'verbose_name_plural': 'Действия'}, ), ]

true

f7f51238767faf70ff1946429ce87c7f838b4fce

304

py

Python

mmis/config/docs.py

KofiDark/frappe_mmis

977ebe7851819b2b710ace949ed72809604bad92

[ "MIT" ]

null

mmis/config/docs.py

KofiDark/frappe_mmis

977ebe7851819b2b710ace949ed72809604bad92

[ "MIT" ]

null

mmis/config/docs.py

KofiDark/frappe_mmis

977ebe7851819b2b710ace949ed72809604bad92

[ "MIT" ]

null

""" Configuration for docs """ # source_link = "https://github.com/[org_name]/mmis" # docs_base_url = "https://[org_name].github.io/mmis" # headline = "App that does everything" # sub_heading = "Yes, you got that right the first time, everything" def get_context(context): context.brand_html = "MMIS"

25.333333

68

0.713816

def get_context(context): context.brand_html = "MMIS"

true

f7f5129fba09e1a8c6193213121ed1bbcc7951df

3,310

py

Python

corepy/arch/spu/isa/__init__.py

matthiaskramm/corepy

b2aad4e86adca10420e825fb65dcbd031cf44bb1

[ "BSD-3-Clause" ]

8

2016-02-20T03:52:58.000Z

2022-01-24T15:04:14.000Z

corepy/arch/spu/isa/__init__.py

matthiaskramm/corepy

b2aad4e86adca10420e825fb65dcbd031cf44bb1

[ "BSD-3-Clause" ]

null

corepy/arch/spu/isa/__init__.py

matthiaskramm/corepy

b2aad4e86adca10420e825fb65dcbd031cf44bb1

[ "BSD-3-Clause" ]

6

2015-12-11T05:21:15.000Z

2020-12-11T10:59:15.000Z

# Copyright (c) 2006-2009 The Trustees of Indiana University. # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # # - Redistributions of source code must retain the above copyright notice, this # list of conditions and the following disclaimer. # # - Redistributions in binary form must reproduce the above copyright notice, # this list of conditions and the following disclaimer in the documentation # and/or other materials provided with the distribution. # # - Neither the Indiana University nor the names of its contributors may be used # to endorse or promote products derived from this software without specific # prior written permission. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" # AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE # IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE # DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE # FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL # DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR # SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER # CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, # OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE # OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. from spu_isa import * # Nothing to see here, move along... ;) __active_code = None def set_active_code(code): global __active_code if __active_code is not None: __active_code.set_active_callback(None) __active_code = code if code is not None: code.set_active_callback(set_active_code) return # Property version def __get_active_code(self): global __active_code return __active_code # Free function version def get_active_code(): global __active_code return __active_code # Build the instructions #for inst in spu_isa.SPU_ISA: # name = inst[0] # machine_inst = getattr(machine, name) # asm_order = inst[1]['asm'] # members = {} # for key in inst[1].keys(): # members[key] = inst[1][key] # members['asm_order'] = members['asm'] # members['machine_inst'] = machine_inst # members['active_code'] = property(__get_active_code) # globals()[inst[0]] = type(name, (spe.Instruction,), members) for l in locals().values(): if isinstance(l, type): if issubclass(l, Instruction) or issubclass(l, DispatchInstruction): l.active_code = property(__get_active_code)

42.435897

80

0.610876

from spu_isa import * __active_code = None def set_active_code(code): global __active_code if __active_code is not None: __active_code.set_active_callback(None) __active_code = code if code is not None: code.set_active_callback(set_active_code) return def __get_active_code(self): global __active_code return __active_code def get_active_code(): global __active_code return __active_code for l in locals().values(): if isinstance(l, type): if issubclass(l, Instruction) or issubclass(l, DispatchInstruction): l.active_code = property(__get_active_code)

true

f7f5138073aa479e4a455b881e1b672c3a2c1fb9

815

py

Python

modules/signatures/windows/rat_swrort.py

Yuanmessi/Bold-Falcon

00fcaba0b3d9c462b9d20ecb256ff85db5d119e2

[ "BSD-3-Clause" ]

24

2021-06-21T07:35:37.000Z

2022-03-22T03:33:59.000Z

modules/signatures/windows/rat_swrort.py

Yuanmessi/Bold-Falcon

00fcaba0b3d9c462b9d20ecb256ff85db5d119e2

[ "BSD-3-Clause" ]

3

2021-07-01T08:09:05.000Z

2022-01-28T03:38:36.000Z

modules/signatures/windows/rat_swrort.py

Yuanmessi/Bold-Falcon

00fcaba0b3d9c462b9d20ecb256ff85db5d119e2

[ "BSD-3-Clause" ]

6

2021-06-22T05:32:57.000Z

2022-02-11T02:05:45.000Z

# Copyright (C) 2010-2015 Cuckoo Foundation. # This file is part of Cuckoo Sandbox - http://www.cuckoosandbox.org # This signature was contributed by RedSocks - http://redsocks.nl # See the file 'docs/LICENSE' for copying permission. from lib.cuckoo.common.abstracts import Signature class Swrort(Signature): name = "rat_swrort" description = "Creates known Swrort Backdoor files, registry keys and/or mutexes" severity = 3 categories = ["rat"] families = ["swrort"] authors = ["RedSocks"] minimum = "2.0" files_re = [ ".*torchat" ] def on_complete(self): for indicator in self.files_re: match = self.check_file(pattern=indicator, regex=True) if match: self.mark_ioc("file", match) return self.has_marks()

29.107143

85

0.651534

from lib.cuckoo.common.abstracts import Signature class Swrort(Signature): name = "rat_swrort" description = "Creates known Swrort Backdoor files, registry keys and/or mutexes" severity = 3 categories = ["rat"] families = ["swrort"] authors = ["RedSocks"] minimum = "2.0" files_re = [ ".*torchat" ] def on_complete(self): for indicator in self.files_re: match = self.check_file(pattern=indicator, regex=True) if match: self.mark_ioc("file", match) return self.has_marks()

true

f7f5139568ceadf10cb0023def6924f7a7da4377

5,732

py

Python

docs/conf.py

bcanyelles/django-object-authority

a3c5a3f511a04251af9a5bc8631a9f0a9fe87ca0

[ "BSD-2-Clause" ]

5

2017-06-16T15:32:46.000Z

2018-02-20T14:41:08.000Z

docs/conf.py

APSL/django-object-authority

a3c5a3f511a04251af9a5bc8631a9f0a9fe87ca0

[ "BSD-2-Clause" ]

null

docs/conf.py

APSL/django-object-authority

a3c5a3f511a04251af9a5bc8631a9f0a9fe87ca0

[ "BSD-2-Clause" ]

null

# -*- coding: utf-8 -*- # # django-object-authority documentation build configuration file, created by # sphinx-quickstart on Thu Jun 1 11:27:21 2017. # # This file is execfile()d with the current directory set to its # containing dir. # # Note that not all possible configuration values are present in this # autogenerated file. # # All configuration values have a default; values that are commented out # serve to show the default. # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. # # import os # import sys # sys.path.insert(0, os.path.abspath('.')) # -- General configuration ------------------------------------------------ # If your documentation needs a minimal Sphinx version, state it here. # # needs_sphinx = '1.0' # Add any Sphinx extension module names here, as strings. They can be # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom # ones. def get_version(): """ Return package version as listed in `__version__` in `init.py` of the source package. """ import os import re import inspect try: docs_path = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())).rsplit('/', 1)[0]) init_py = open(os.path.join(docs_path, 'django_object_authority', '__init__.py')).read() return re.search("__version__ = ['\"]([^'\"]+)['\"]", init_py).group(1) except Exception: return 'latest' extensions = [ 'sphinx.ext.autodoc', 'sphinx.ext.todo', 'sphinx.ext.coverage', 'sphinx.ext.viewcode' ] # Add any paths that contain templates here, relative to this directory. templates_path = ['_templates'] # The suffix(es) of source filenames. # You can specify multiple suffix as a list of string: # # source_suffix = ['.rst', '.md'] source_suffix = '.rst' # The master toctree document. master_doc = 'index' # General information about the project. project = u'django-object-authority' copyright = u'2017, Tomeu Canyelles' author = u'Tomeu Canyelles' # The version info for the project you're documenting, acts as replacement for # |version| and |release|, also used in various other places throughout the # built documents. # # The short X.Y version. version = get_version() # The full version, including alpha/beta/rc tags. release = version # The language for content autogenerated by Sphinx. Refer to documentation # for a list of supported languages. # # This is also used if you do content translation via gettext catalogs. # Usually you set "language" from the command line for these cases. # language = None # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. # This patterns also effect to html_static_path and html_extra_path exclude_patterns = ['_build', 'Thumbs.db', '.DS_Store'] # The name of the Pygments (syntax highlighting) style to use. pygments_style = 'sphinx' # If true, `todo` and `todoList` produce output, else they produce nothing. todo_include_todos = True # -- Options for HTML output ---------------------------------------------- # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. # # html_theme = 'alabaster' import sphinx_rtd_theme html_theme = "sphinx_rtd_theme" html_theme_path = [sphinx_rtd_theme.get_html_theme_path()] html_theme_options = { 'collapse_navigation': False, 'display_version': True, 'navigation_depth': 3, } # Theme options are theme-specific and customize the look and feel of a theme # further. For a list of options available for each theme, see the # documentation. # # html_theme_options = {} # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". html_static_path = ['_static'] # -- Options for HTMLHelp output ------------------------------------------ # Output file base name for HTML help builder. htmlhelp_basename = 'django-object-authoritydoc' # -- Options for LaTeX output --------------------------------------------- latex_elements = { # The paper size ('letterpaper' or 'a4paper'). # # 'papersize': 'letterpaper', # The font size ('10pt', '11pt' or '12pt'). # # 'pointsize': '10pt', # Additional stuff for the LaTeX preamble. # # 'preamble': '', # Latex figure (float) alignment # # 'figure_align': 'htbp', } # Grouping the document tree into LaTeX files. List of tuples # (source start file, target name, title, # author, documentclass [howto, manual, or own class]). latex_documents = [ (master_doc, 'django-object-authority.tex', u'django-object-authority Documentation', u'Tomeu Canyelles', 'manual'), ] # -- Options for manual page output --------------------------------------- # One entry per manual page. List of tuples # (source start file, name, description, authors, manual section). man_pages = [ (master_doc, 'django-object-authority', u'django-object-authority Documentation', [author], 1) ] # -- Options for Texinfo output ------------------------------------------- # Grouping the document tree into Texinfo files. List of tuples # (source start file, target name, title, author, # dir menu entry, description, category) texinfo_documents = [ (master_doc, 'django-object-authority', u'django-object-authority Documentation', author, 'django-object-authority', 'One line description of project.', 'Miscellaneous'), ]

31.152174

111

0.682833

def get_version(): import os import re import inspect try: docs_path = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())).rsplit('/', 1)[0]) init_py = open(os.path.join(docs_path, 'django_object_authority', '__init__.py')).read() return re.search("__version__ = ['\"]([^'\"]+)['\"]", init_py).group(1) except Exception: return 'latest' extensions = [ 'sphinx.ext.autodoc', 'sphinx.ext.todo', 'sphinx.ext.coverage', 'sphinx.ext.viewcode' ] # Add any paths that contain templates here, relative to this directory. templates_path = ['_templates'] # The suffix(es) of source filenames. # You can specify multiple suffix as a list of string: # # source_suffix = ['.rst', '.md'] source_suffix = '.rst' # The master toctree document. master_doc = 'index' # General information about the project. project = u'django-object-authority' copyright = u'2017, Tomeu Canyelles' author = u'Tomeu Canyelles' # The version info for the project you're documenting, acts as replacement for # |version| and |release|, also used in various other places throughout the # built documents. # # The short X.Y version. version = get_version() # The full version, including alpha/beta/rc tags. release = version # The language for content autogenerated by Sphinx. Refer to documentation # for a list of supported languages. # # This is also used if you do content translation via gettext catalogs. # Usually you set "language" from the command line for these cases. # language = None # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. # This patterns also effect to html_static_path and html_extra_path exclude_patterns = ['_build', 'Thumbs.db', '.DS_Store'] # The name of the Pygments (syntax highlighting) style to use. pygments_style = 'sphinx' # If true, `todo` and `todoList` produce output, else they produce nothing. todo_include_todos = True # -- Options for HTML output ---------------------------------------------- # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. # # html_theme = 'alabaster' import sphinx_rtd_theme html_theme = "sphinx_rtd_theme" html_theme_path = [sphinx_rtd_theme.get_html_theme_path()] html_theme_options = { 'collapse_navigation': False, 'display_version': True, 'navigation_depth': 3, } # Theme options are theme-specific and customize the look and feel of a theme # further. For a list of options available for each theme, see the # documentation. # # html_theme_options = {} # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". html_static_path = ['_static'] # -- Options for HTMLHelp output ------------------------------------------ # Output file base name for HTML help builder. htmlhelp_basename = 'django-object-authoritydoc' # -- Options for LaTeX output --------------------------------------------- latex_elements = { # The paper size ('letterpaper' or 'a4paper'). # # 'papersize': 'letterpaper', # The font size ('10pt', '11pt' or '12pt'). # # 'pointsize': '10pt', # Additional stuff for the LaTeX preamble. # # 'preamble': '', # Latex figure (float) alignment # # 'figure_align': 'htbp', } # Grouping the document tree into LaTeX files. List of tuples # (source start file, target name, title, # author, documentclass [howto, manual, or own class]). latex_documents = [ (master_doc, 'django-object-authority.tex', u'django-object-authority Documentation', u'Tomeu Canyelles', 'manual'), ] # -- Options for manual page output --------------------------------------- # One entry per manual page. List of tuples # (source start file, name, description, authors, manual section). man_pages = [ (master_doc, 'django-object-authority', u'django-object-authority Documentation', [author], 1) ] # -- Options for Texinfo output ------------------------------------------- # Grouping the document tree into Texinfo files. List of tuples # (source start file, target name, title, author, # dir menu entry, description, category) texinfo_documents = [ (master_doc, 'django-object-authority', u'django-object-authority Documentation', author, 'django-object-authority', 'One line description of project.', 'Miscellaneous'), ]

true

f7f514de588eca23ef71fa4e94b0201402438ae0

47,843

py

Python

core/controllers/admin.py

Rijuta-s/oppia

f4f3cd71f90285abee3b0f74062586aaafadce7d

[ "Apache-2.0" ]

null

core/controllers/admin.py

Rijuta-s/oppia

f4f3cd71f90285abee3b0f74062586aaafadce7d

[ "Apache-2.0" ]

3

2021-02-13T08:35:34.000Z

2021-05-18T12:17:06.000Z

core/controllers/admin.py

Rijuta-s/oppia

f4f3cd71f90285abee3b0f74062586aaafadce7d

[ "Apache-2.0" ]

null

# Copyright 2014 The Oppia Authors. 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 required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS-IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """Controllers for the admin view.""" from __future__ import annotations import io import logging import random from core import feconf from core import utils from core.constants import constants from core.controllers import acl_decorators from core.controllers import base from core.controllers import domain_objects_validator as validation_method from core.domain import auth_services from core.domain import blog_services from core.domain import collection_services from core.domain import config_domain from core.domain import config_services from core.domain import email_manager from core.domain import exp_domain from core.domain import exp_fetchers from core.domain import exp_services from core.domain import opportunity_services from core.domain import platform_feature_services as feature_services from core.domain import platform_parameter_domain as parameter_domain from core.domain import question_domain from core.domain import question_services from core.domain import recommendations_services from core.domain import rights_manager from core.domain import role_services from core.domain import search_services from core.domain import skill_domain from core.domain import skill_services from core.domain import state_domain from core.domain import stats_services from core.domain import story_domain from core.domain import story_services from core.domain import subtopic_page_domain from core.domain import subtopic_page_services from core.domain import topic_domain from core.domain import topic_fetchers from core.domain import topic_services from core.domain import user_services from core.domain import wipeout_service class AdminPage(base.BaseHandler): """Admin page shown in the App Engine admin console.""" URL_PATH_ARGS_SCHEMAS = {} HANDLER_ARGS_SCHEMAS = {'GET': {}} @acl_decorators.can_access_admin_page def get(self): """Handles GET requests.""" self.render_template('admin-page.mainpage.html') class AdminHandler(base.BaseHandler): """Handler for the admin page.""" GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON URL_PATH_ARGS_SCHEMAS = {} HANDLER_ARGS_SCHEMAS = { 'GET': {}, 'POST': { 'action': { 'schema': { 'type': 'basestring', 'choices': [ 'reload_exploration', 'reload_collection', 'generate_dummy_explorations', 'clear_search_index', 'generate_dummy_new_structures_data', 'generate_dummy_new_skill_data', 'save_config_properties', 'revert_config_property', 'upload_topic_similarities', 'regenerate_topic_related_opportunities', 'update_feature_flag_rules' ] }, # TODO(#13331): Remove default_value when it is confirmed that, # for clearing the search indices of exploration & collection # 'action' field must be provided in the payload. 'default_value': None }, 'exploration_id': { 'schema': { 'type': 'basestring' }, 'default_value': None }, 'collection_id': { 'schema': { 'type': 'basestring' }, 'default_value': None }, 'num_dummy_exps_to_generate': { 'schema': { 'type': 'int' }, 'default_value': None }, 'num_dummy_exps_to_publish': { 'schema': { 'type': 'int' }, 'default_value': None }, 'new_config_property_values': { 'schema': { 'type': 'object_dict', 'validation_method': ( validation_method.validate_new_config_property_values) }, 'default_value': None }, 'config_property_id': { 'schema': { 'type': 'basestring' }, 'default_value': None }, 'data': { 'schema': { 'type': 'basestring' }, 'default_value': None }, 'topic_id': { 'schema': { 'type': 'basestring' }, 'default_value': None }, 'feature_name': { 'schema': { 'type': 'basestring' }, 'default_value': None }, 'commit_message': { 'schema': { 'type': 'basestring' }, 'default_value': None }, 'new_rules': { 'schema': { 'type': 'list', 'items': { 'type': 'object_dict', 'object_class': parameter_domain.PlatformParameterRule } }, 'default_value': None } } } @acl_decorators.can_access_admin_page def get(self): """Handles GET requests.""" demo_exploration_ids = list(feconf.DEMO_EXPLORATIONS.keys()) topic_summaries = topic_fetchers.get_all_topic_summaries() topic_summary_dicts = [ summary.to_dict() for summary in topic_summaries] feature_flag_dicts = feature_services.get_all_feature_flag_dicts() config_properties = config_domain.Registry.get_config_property_schemas() # Removes promo-bar related configs as promo-bar is handlded by # release coordinators in /release-coordinator page. del config_properties['promo_bar_enabled'] del config_properties['promo_bar_message'] # Remove blog related configs as they will be handled by 'blog admins' # on blog admin page. del config_properties['max_number_of_tags_assigned_to_blog_post'] del config_properties['list_of_default_tags_for_blog_post'] self.render_json({ 'config_properties': config_properties, 'demo_collections': sorted(feconf.DEMO_COLLECTIONS.items()), 'demo_explorations': sorted(feconf.DEMO_EXPLORATIONS.items()), 'demo_exploration_ids': demo_exploration_ids, 'updatable_roles': role_services.UPDATABLE_ROLES, 'viewable_roles': role_services.VIEWABLE_ROLES, 'human_readable_roles': role_services.HUMAN_READABLE_ROLES, 'role_to_actions': role_services.get_role_actions(), 'topic_summaries': topic_summary_dicts, 'feature_flags': feature_flag_dicts, }) @acl_decorators.can_access_admin_page def post(self): """Handles POST requests.""" action = self.normalized_payload.get('action') try: result = {} if action == 'reload_exploration': exploration_id = self.normalized_payload.get('exploration_id') self._reload_exploration(exploration_id) elif action == 'reload_collection': collection_id = self.normalized_payload.get('collection_id') self._reload_collection(collection_id) elif action == 'generate_dummy_explorations': num_dummy_exps_to_generate = self.normalized_payload.get( 'num_dummy_exps_to_generate') num_dummy_exps_to_publish = self.normalized_payload.get( 'num_dummy_exps_to_publish') if num_dummy_exps_to_generate < num_dummy_exps_to_publish: raise self.InvalidInputException( 'Generate count cannot be less than publish count') else: self._generate_dummy_explorations( num_dummy_exps_to_generate, num_dummy_exps_to_publish) elif action == 'clear_search_index': search_services.clear_collection_search_index() search_services.clear_exploration_search_index() elif action == 'generate_dummy_new_structures_data': self._load_dummy_new_structures_data() elif action == 'generate_dummy_new_skill_data': self._generate_dummy_skill_and_questions() elif action == 'save_config_properties': new_config_property_values = self.normalized_payload.get( 'new_config_property_values') logging.info( '[ADMIN] %s saved config property values: %s' % (self.user_id, new_config_property_values)) for (name, value) in new_config_property_values.items(): config_services.set_property(self.user_id, name, value) elif action == 'revert_config_property': config_property_id = self.normalized_payload.get( 'config_property_id') logging.info( '[ADMIN] %s reverted config property: %s' % (self.user_id, config_property_id)) config_services.revert_property( self.user_id, config_property_id) elif action == 'upload_topic_similarities': data = self.normalized_payload.get('data') recommendations_services.update_topic_similarities(data) elif action == 'regenerate_topic_related_opportunities': topic_id = self.normalized_payload.get('topic_id') opportunities_count = ( opportunity_services .regenerate_opportunities_related_to_topic( topic_id, delete_existing_opportunities=True)) result = { 'opportunities_count': opportunities_count } elif action == 'update_feature_flag_rules': feature_name = self.normalized_payload.get('feature_name') new_rule_dicts = self.normalized_payload.get('new_rules') commit_message = self.normalized_payload.get('commit_message') try: feature_services.update_feature_flag_rules( feature_name, self.user_id, commit_message, new_rule_dicts) except ( utils.ValidationError, feature_services.FeatureFlagNotFoundException) as e: raise self.InvalidInputException(e) logging.info( '[ADMIN] %s updated feature %s with new rules: ' '%s.' % (self.user_id, feature_name, new_rule_dicts)) self.render_json(result) except Exception as e: logging.exception('[ADMIN] %s', e) self.render_json({'error': str(e)}) raise e def _reload_exploration(self, exploration_id): """Reloads the exploration in dev_mode corresponding to the given exploration id. Args: exploration_id: str. The exploration id. Raises: Exception. Cannot reload an exploration in production. """ if constants.DEV_MODE: logging.info( '[ADMIN] %s reloaded exploration %s' % (self.user_id, exploration_id)) exp_services.load_demo(exploration_id) rights_manager.release_ownership_of_exploration( user_services.get_system_user(), exploration_id) else: raise Exception('Cannot reload an exploration in production.') def _create_dummy_question( self, question_id, question_content, linked_skill_ids): """Creates a dummy question object with the given question ID. Args: question_id: str. The ID of the question to be created. question_content: str. The question content. linked_skill_ids: list(str). The IDs of the skills to which the question is linked to. Returns: Question. The dummy question with given values. """ state = state_domain.State.create_default_state( 'ABC', is_initial_state=True) state.update_interaction_id('TextInput') state.update_interaction_customization_args({ 'placeholder': { 'value': { 'content_id': 'ca_placeholder_0', 'unicode_str': '' } }, 'rows': {'value': 1} }) state.update_next_content_id_index(1) state.update_linked_skill_id(None) state.update_content(state_domain.SubtitledHtml('1', question_content)) recorded_voiceovers = state_domain.RecordedVoiceovers({}) written_translations = state_domain.WrittenTranslations({}) recorded_voiceovers.add_content_id_for_voiceover('ca_placeholder_0') recorded_voiceovers.add_content_id_for_voiceover('1') recorded_voiceovers.add_content_id_for_voiceover('default_outcome') written_translations.add_content_id_for_translation('ca_placeholder_0') written_translations.add_content_id_for_translation('1') written_translations.add_content_id_for_translation('default_outcome') state.update_recorded_voiceovers(recorded_voiceovers) state.update_written_translations(written_translations) solution = state_domain.Solution( 'TextInput', False, 'Solution', state_domain.SubtitledHtml( 'solution', 'This is a solution.')) hints_list = [ state_domain.Hint( state_domain.SubtitledHtml('hint_1', 'This is a hint.') ) ] state.update_interaction_solution(solution) state.update_interaction_hints(hints_list) state.update_interaction_default_outcome( state_domain.Outcome( None, state_domain.SubtitledHtml( 'feedback_id', 'Dummy Feedback'), True, [], None, None ) ) question = question_domain.Question( question_id, state, feconf.CURRENT_STATE_SCHEMA_VERSION, constants.DEFAULT_LANGUAGE_CODE, 0, linked_skill_ids, []) return question def _create_dummy_skill(self, skill_id, skill_description, explanation): """Creates a dummy skill object with the given values. Args: skill_id: str. The ID of the skill to be created. skill_description: str. The description of the skill. explanation: str. The review material for the skill. Returns: Skill. The dummy skill with given values. """ rubrics = [ skill_domain.Rubric( constants.SKILL_DIFFICULTIES[0], ['Explanation 1']), skill_domain.Rubric( constants.SKILL_DIFFICULTIES[1], ['Explanation 2']), skill_domain.Rubric( constants.SKILL_DIFFICULTIES[2], ['Explanation 3'])] skill = skill_domain.Skill.create_default_skill( skill_id, skill_description, rubrics) skill.update_explanation(state_domain.SubtitledHtml('1', explanation)) return skill def _load_dummy_new_structures_data(self): """Loads the database with two topics (one of which is empty), a story and three skills in the topic (two of them in a subtopic) and a question attached to each skill. Raises: Exception. Cannot load new structures data in production mode. Exception. User does not have enough rights to generate data. """ if constants.DEV_MODE: if feconf.ROLE_ID_CURRICULUM_ADMIN not in self.user.roles: raise Exception( 'User does not have enough rights to generate data.') topic_id_1 = topic_fetchers.get_new_topic_id() topic_id_2 = topic_fetchers.get_new_topic_id() story_id = story_services.get_new_story_id() skill_id_1 = skill_services.get_new_skill_id() skill_id_2 = skill_services.get_new_skill_id() skill_id_3 = skill_services.get_new_skill_id() question_id_1 = question_services.get_new_question_id() question_id_2 = question_services.get_new_question_id() question_id_3 = question_services.get_new_question_id() skill_1 = self._create_dummy_skill( skill_id_1, 'Dummy Skill 1', 'Dummy Explanation 1') skill_2 = self._create_dummy_skill( skill_id_2, 'Dummy Skill 2', 'Dummy Explanation 2') skill_3 = self._create_dummy_skill( skill_id_3, 'Dummy Skill 3', 'Dummy Explanation 3') question_1 = self._create_dummy_question( question_id_1, 'Question 1', [skill_id_1]) question_2 = self._create_dummy_question( question_id_2, 'Question 2', [skill_id_2]) question_3 = self._create_dummy_question( question_id_3, 'Question 3', [skill_id_3]) question_services.add_question(self.user_id, question_1) question_services.add_question(self.user_id, question_2) question_services.add_question(self.user_id, question_3) question_services.create_new_question_skill_link( self.user_id, question_id_1, skill_id_1, 0.3) question_services.create_new_question_skill_link( self.user_id, question_id_2, skill_id_2, 0.5) question_services.create_new_question_skill_link( self.user_id, question_id_3, skill_id_3, 0.7) topic_1 = topic_domain.Topic.create_default_topic( topic_id_1, 'Dummy Topic 1', 'dummy-topic-one', 'description') topic_2 = topic_domain.Topic.create_default_topic( topic_id_2, 'Empty Topic', 'empty-topic', 'description') topic_1.add_canonical_story(story_id) topic_1.add_uncategorized_skill_id(skill_id_1) topic_1.add_uncategorized_skill_id(skill_id_2) topic_1.add_uncategorized_skill_id(skill_id_3) topic_1.add_subtopic(1, 'Dummy Subtopic Title') topic_1.move_skill_id_to_subtopic(None, 1, skill_id_2) topic_1.move_skill_id_to_subtopic(None, 1, skill_id_3) subtopic_page = ( subtopic_page_domain.SubtopicPage.create_default_subtopic_page( 1, topic_id_1)) # These explorations were chosen since they pass the validations # for published stories. self._reload_exploration('15') self._reload_exploration('25') self._reload_exploration('13') exp_services.update_exploration( self.user_id, '15', [exp_domain.ExplorationChange({ 'cmd': exp_domain.CMD_EDIT_EXPLORATION_PROPERTY, 'property_name': 'correctness_feedback_enabled', 'new_value': True })], 'Changed correctness_feedback_enabled.') exp_services.update_exploration( self.user_id, '25', [exp_domain.ExplorationChange({ 'cmd': exp_domain.CMD_EDIT_EXPLORATION_PROPERTY, 'property_name': 'correctness_feedback_enabled', 'new_value': True })], 'Changed correctness_feedback_enabled.') exp_services.update_exploration( self.user_id, '13', [exp_domain.ExplorationChange({ 'cmd': exp_domain.CMD_EDIT_EXPLORATION_PROPERTY, 'property_name': 'correctness_feedback_enabled', 'new_value': True })], 'Changed correctness_feedback_enabled.') story = story_domain.Story.create_default_story( story_id, 'Help Jaime win the Arcade', 'Description', topic_id_1, 'help-jamie-win-arcade') story_node_dicts = [{ 'exp_id': '15', 'title': 'What are the place values?', 'description': 'Jaime learns the place value of each digit ' + 'in a big number.' }, { 'exp_id': '25', 'title': 'Finding the value of a number', 'description': 'Jaime understands the value of his ' + 'arcade score.' }, { 'exp_id': '13', 'title': 'Comparing Numbers', 'description': 'Jaime learns if a number is smaller or ' + 'greater than another number.' }] def generate_dummy_story_nodes(node_id, exp_id, title, description): """Generates and connects sequential story nodes. Args: node_id: int. The node id. exp_id: str. The exploration id. title: str. The title of the story node. description: str. The description of the story node. """ story.add_node( '%s%d' % (story_domain.NODE_ID_PREFIX, node_id), title) story.update_node_description( '%s%d' % (story_domain.NODE_ID_PREFIX, node_id), description) story.update_node_exploration_id( '%s%d' % (story_domain.NODE_ID_PREFIX, node_id), exp_id) if node_id != len(story_node_dicts): story.update_node_destination_node_ids( '%s%d' % (story_domain.NODE_ID_PREFIX, node_id), ['%s%d' % (story_domain.NODE_ID_PREFIX, node_id + 1)]) exp_services.update_exploration( self.user_id, exp_id, [exp_domain.ExplorationChange({ 'cmd': exp_domain.CMD_EDIT_EXPLORATION_PROPERTY, 'property_name': 'category', 'new_value': 'Astronomy' })], 'Change category') for i, story_node_dict in enumerate(story_node_dicts): generate_dummy_story_nodes(i + 1, **story_node_dict) skill_services.save_new_skill(self.user_id, skill_1) skill_services.save_new_skill(self.user_id, skill_2) skill_services.save_new_skill(self.user_id, skill_3) story_services.save_new_story(self.user_id, story) topic_services.save_new_topic(self.user_id, topic_1) topic_services.save_new_topic(self.user_id, topic_2) subtopic_page_services.save_subtopic_page( self.user_id, subtopic_page, 'Added subtopic', [topic_domain.TopicChange({ 'cmd': topic_domain.CMD_ADD_SUBTOPIC, 'subtopic_id': 1, 'title': 'Dummy Subtopic Title' })] ) # Generates translation opportunities for the Contributor Dashboard. exp_ids_in_story = story.story_contents.get_all_linked_exp_ids() opportunity_services.add_new_exploration_opportunities( story_id, exp_ids_in_story) topic_services.publish_story(topic_id_1, story_id, self.user_id) else: raise Exception('Cannot load new structures data in production.') def _generate_dummy_skill_and_questions(self): """Generate and loads the database with a skill and 15 questions linked to the skill. Raises: Exception. Cannot load new structures data in production mode. Exception. User does not have enough rights to generate data. """ if constants.DEV_MODE: if feconf.ROLE_ID_CURRICULUM_ADMIN not in self.user.roles: raise Exception( 'User does not have enough rights to generate data.') skill_id = skill_services.get_new_skill_id() skill_name = 'Dummy Skill %s' % str(random.getrandbits(32)) skill = self._create_dummy_skill( skill_id, skill_name, 'Dummy Explanation 1') skill_services.save_new_skill(self.user_id, skill) for i in range(15): question_id = question_services.get_new_question_id() question_name = 'Question number %s %s' % (str(i), skill_name) question = self._create_dummy_question( question_id, question_name, [skill_id]) question_services.add_question(self.user_id, question) question_difficulty = list( constants.SKILL_DIFFICULTY_LABEL_TO_FLOAT.values()) random_difficulty = random.choice(question_difficulty) question_services.create_new_question_skill_link( self.user_id, question_id, skill_id, random_difficulty) else: raise Exception('Cannot generate dummy skills in production.') def _reload_collection(self, collection_id): """Reloads the collection in dev_mode corresponding to the given collection id. Args: collection_id: str. The collection id. Raises: Exception. Cannot reload a collection in production. """ if constants.DEV_MODE: logging.info( '[ADMIN] %s reloaded collection %s' % (self.user_id, collection_id)) collection_services.load_demo(collection_id) rights_manager.release_ownership_of_collection( user_services.get_system_user(), collection_id) else: raise Exception('Cannot reload a collection in production.') def _generate_dummy_explorations( self, num_dummy_exps_to_generate, num_dummy_exps_to_publish): """Generates and publishes the given number of dummy explorations. Args: num_dummy_exps_to_generate: int. Count of dummy explorations to be generated. num_dummy_exps_to_publish: int. Count of explorations to be published. Raises: Exception. Environment is not DEVMODE. """ if constants.DEV_MODE: logging.info( '[ADMIN] %s generated %s number of dummy explorations' % (self.user_id, num_dummy_exps_to_generate)) possible_titles = ['Hulk Neuroscience', 'Quantum Starks', 'Wonder Anatomy', 'Elvish, language of "Lord of the Rings', 'The Science of Superheroes'] exploration_ids_to_publish = [] for i in range(num_dummy_exps_to_generate): title = random.choice(possible_titles) category = random.choice(constants.SEARCH_DROPDOWN_CATEGORIES) new_exploration_id = exp_fetchers.get_new_exploration_id() exploration = exp_domain.Exploration.create_default_exploration( new_exploration_id, title=title, category=category, objective='Dummy Objective') exp_services.save_new_exploration(self.user_id, exploration) if i <= num_dummy_exps_to_publish - 1: exploration_ids_to_publish.append(new_exploration_id) rights_manager.publish_exploration( self.user, new_exploration_id) exp_services.index_explorations_given_ids( exploration_ids_to_publish) else: raise Exception('Cannot generate dummy explorations in production.') class AdminRoleHandler(base.BaseHandler): """Handler for roles tab of admin page. Used to view and update roles.""" GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON URL_PATH_ARGS_SCHEMAS = {} HANDLER_ARGS_SCHEMAS = { 'GET': { 'filter_criterion': { 'schema': { 'type': 'basestring', 'choices': [ feconf.USER_FILTER_CRITERION_ROLE, feconf.USER_FILTER_CRITERION_USERNAME ] } }, 'role': { 'schema': { 'type': 'basestring', 'choices': role_services.VIEWABLE_ROLES }, 'default_value': None }, 'username': { 'schema': { 'type': 'basestring' }, 'default_value': None } }, 'PUT': { 'role': { 'schema': { 'type': 'basestring', 'choices': feconf.ALLOWED_USER_ROLES } }, 'username': { 'schema': { 'type': 'basestring' } } }, 'DELETE': { 'role': { 'schema': { 'type': 'basestring', 'choices': feconf.ALLOWED_USER_ROLES } }, 'username': { 'schema': { 'type': 'basestring' } } } } @acl_decorators.can_access_admin_page def get(self): filter_criterion = self.normalized_request.get( 'filter_criterion') if filter_criterion == feconf.USER_FILTER_CRITERION_ROLE: role = self.normalized_request.get( feconf.USER_FILTER_CRITERION_ROLE) role_services.log_role_query( self.user_id, feconf.ROLE_ACTION_VIEW_BY_ROLE, role=role) self.render_json({ 'usernames': user_services.get_usernames_by_role(role) }) elif filter_criterion == feconf.USER_FILTER_CRITERION_USERNAME: username = self.normalized_request.get( feconf.USER_FILTER_CRITERION_USERNAME) user_id = user_services.get_user_id_from_username(username) role_services.log_role_query( self.user_id, feconf.ROLE_ACTION_VIEW_BY_USERNAME, username=username) if user_id is None: raise self.InvalidInputException( 'User with given username does not exist.') user_settings = user_services.get_user_settings(user_id) user_roles = user_settings.roles managed_topic_ids = [] if feconf.ROLE_ID_TOPIC_MANAGER in user_roles: managed_topic_ids = [ rights.id for rights in topic_fetchers.get_topic_rights_with_user(user_id)] user_roles_dict = { 'roles': user_roles, 'managed_topic_ids': managed_topic_ids, 'banned': user_settings.banned } self.render_json(user_roles_dict) @acl_decorators.can_access_admin_page def put(self): username = self.payload.get('username') role = self.payload.get('role') user_settings = user_services.get_user_settings_from_username(username) if user_settings is None: raise self.InvalidInputException( 'User with given username does not exist.') if role == feconf.ROLE_ID_TOPIC_MANAGER: # The Topic manager role assignment is handled via # TopicManagerRoleHandler. raise self.InvalidInputException( 'Unsupported role for this handler.') user_services.add_user_role(user_settings.user_id, role) self.render_json({}) @acl_decorators.can_access_admin_page def delete(self): username = self.request.get('username') role = self.request.get('role') user_id = user_services.get_user_id_from_username(username) if user_id is None: raise self.InvalidInputException( 'User with given username does not exist.') if role == feconf.ROLE_ID_TOPIC_MANAGER: topic_services.deassign_user_from_all_topics(self.user, user_id) user_services.remove_user_role(user_id, role) self.render_json({}) class TopicManagerRoleHandler(base.BaseHandler): """Handler to assign or deassigning manager to a topic.""" GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON URL_PATH_ARGS_SCHEMAS = {} HANDLER_ARGS_SCHEMAS = { 'PUT': { 'username': { 'schema': { 'type': 'basestring' } }, 'action': { 'schema': { 'type': 'basestring', 'choices': ['assign', 'deassign'] } }, 'topic_id': { 'schema': { 'type': 'basestring' } } } } @acl_decorators.can_access_admin_page def put(self): username = self.normalized_payload.get('username') action = self.normalized_payload.get('action') topic_id = self.normalized_payload.get('topic_id') user_settings = user_services.get_user_settings_from_username(username) if user_settings is None: raise self.InvalidInputException( 'User with given username does not exist.') user_id = user_settings.user_id if action == 'assign': if not feconf.ROLE_ID_TOPIC_MANAGER in user_settings.roles: user_services.add_user_role( user_id, feconf.ROLE_ID_TOPIC_MANAGER) topic_manager = user_services.get_user_actions_info(user_id) topic_services.assign_role( user_services.get_system_user(), topic_manager, topic_domain.ROLE_MANAGER, topic_id) elif action == 'deassign': topic_services.deassign_manager_role_from_topic( user_services.get_system_user(), user_id, topic_id) if not topic_fetchers.get_topic_rights_with_user(user_id): user_services.remove_user_role( user_id, feconf.ROLE_ID_TOPIC_MANAGER) self.render_json({}) class BannedUsersHandler(base.BaseHandler): """Handler to ban and unban users.""" GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON URL_PATH_ARGS_SCHEMAS = {} HANDLER_ARGS_SCHEMAS = { 'PUT': { 'username': { 'schema': { 'type': 'basestring' } } }, 'DELETE': { 'username': { 'schema': { 'type': 'basestring' } } } } @acl_decorators.can_access_admin_page def put(self): username = self.normalized_payload.get('username') user_id = user_services.get_user_id_from_username(username) if user_id is None: raise self.InvalidInputException( 'User with given username does not exist.') topic_services.deassign_user_from_all_topics(self.user, user_id) user_services.mark_user_banned(user_id) self.render_json({}) @acl_decorators.can_access_admin_page def delete(self): username = self.normalized_request.get('username') user_id = user_services.get_user_id_from_username(username) if user_id is None: raise self.InvalidInputException( 'User with given username does not exist.') user_services.unmark_user_banned(user_id) self.render_json({}) class AdminSuperAdminPrivilegesHandler(base.BaseHandler): """Handler for granting a user super admin privileges.""" PUT_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON DELETE_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON URL_PATH_ARGS_SCHEMAS = {} HANDLER_ARGS_SCHEMAS = { 'PUT': { 'username': { 'schema': { 'type': 'basestring' } } }, 'DELETE': { 'username': { 'schema': { 'type': 'basestring' } } } } @acl_decorators.can_access_admin_page def put(self): if self.email != feconf.ADMIN_EMAIL_ADDRESS: raise self.UnauthorizedUserException( 'Only the default system admin can manage super admins') username = self.normalized_payload.get('username') user_id = user_services.get_user_id_from_username(username) if user_id is None: raise self.InvalidInputException('No such user exists') auth_services.grant_super_admin_privileges(user_id) self.render_json(self.values) @acl_decorators.can_access_admin_page def delete(self): if self.email != feconf.ADMIN_EMAIL_ADDRESS: raise self.UnauthorizedUserException( 'Only the default system admin can manage super admins') username = self.normalized_request.get('username') user_settings = user_services.get_user_settings_from_username(username) if user_settings is None: raise self.InvalidInputException('No such user exists') if user_settings.email == feconf.ADMIN_EMAIL_ADDRESS: raise self.InvalidInputException( 'Cannot revoke privileges from the default super admin account') auth_services.revoke_super_admin_privileges(user_settings.user_id) self.render_json(self.values) class AdminTopicsCsvFileDownloader(base.BaseHandler): """Retrieves topic similarity data for download.""" GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_DOWNLOADABLE URL_PATH_ARGS_SCHEMAS = {} HANDLER_ARGS_SCHEMAS = {'GET': {}} @acl_decorators.can_access_admin_page def get(self): topic_similarities = ( recommendations_services.get_topic_similarities_as_csv() ) # Downloadable file accepts only bytes, so we need to encode # topic_similarities to bytes. self.render_downloadable_file( io.BytesIO(topic_similarities.encode('utf-8')), 'topic_similarities.csv', 'text/csv' ) class DataExtractionQueryHandler(base.BaseHandler): """Handler for data extraction query.""" GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON URL_PATH_ARGS_SCHEMAS = {} HANDLER_ARGS_SCHEMAS = { 'GET': { 'exp_id': { 'schema': { 'type': 'basestring' } }, 'exp_version': { 'schema': { 'type': 'int' } }, 'state_name': { 'schema': { 'type': 'basestring' } }, 'num_answers': { 'schema': { 'type': 'int' } } } } @acl_decorators.can_access_admin_page def get(self): exp_id = self.normalized_request.get('exp_id') exp_version = self.normalized_request.get('exp_version') exploration = exp_fetchers.get_exploration_by_id( exp_id, strict=False, version=exp_version) if exploration is None: raise self.InvalidInputException( 'Entity for exploration with id %s and version %s not found.' % (exp_id, exp_version)) state_name = self.normalized_request.get('state_name') num_answers = self.normalized_request.get('num_answers') if state_name not in exploration.states: raise self.InvalidInputException( 'Exploration \'%s\' does not have \'%s\' state.' % (exp_id, state_name)) state_answers = stats_services.get_state_answers( exp_id, exp_version, state_name) extracted_answers = state_answers.get_submitted_answer_dict_list() if num_answers > 0: extracted_answers = extracted_answers[:num_answers] response = { 'data': extracted_answers } self.render_json(response) class SendDummyMailToAdminHandler(base.BaseHandler): """This function handles sending test emails.""" URL_PATH_ARGS_SCHEMAS = {} HANDLER_ARGS_SCHEMAS = {'POST': {}} @acl_decorators.can_access_admin_page def post(self): username = self.username if feconf.CAN_SEND_EMAILS: email_manager.send_dummy_mail_to_admin(username) self.render_json({}) else: raise self.InvalidInputException('This app cannot send emails.') class UpdateUsernameHandler(base.BaseHandler): """Handler for renaming usernames.""" URL_PATH_ARGS_SCHEMAS = {} HANDLER_ARGS_SCHEMAS = { 'PUT': { 'old_username': { 'schema': { 'type': 'basestring' } }, 'new_username': { 'schema': { 'type': 'basestring', 'validators': [{ 'id': 'has_length_at_most', 'max_value': constants.MAX_USERNAME_LENGTH }] } } } } @acl_decorators.can_access_admin_page def put(self): old_username = self.normalized_payload.get('old_username') new_username = self.normalized_payload.get('new_username') user_id = user_services.get_user_id_from_username(old_username) if user_id is None: raise self.InvalidInputException( 'Invalid username: %s' % old_username) if user_services.is_username_taken(new_username): raise self.InvalidInputException('Username already taken.') user_services.set_username(user_id, new_username) user_services.log_username_change( self.user_id, old_username, new_username) self.render_json({}) class NumberOfDeletionRequestsHandler(base.BaseHandler): """Handler for getting the number of pending deletion requests via admin page. """ GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON URL_PATH_ARGS_SCHEMAS = {} HANDLER_ARGS_SCHEMAS = {'GET': {}} @acl_decorators.can_access_admin_page def get(self): self.render_json({ 'number_of_pending_deletion_models': ( wipeout_service.get_number_of_pending_deletion_requests()) }) class VerifyUserModelsDeletedHandler(base.BaseHandler): """Handler for getting whether any models exist for specific user ID.""" GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON URL_PATH_ARGS_SCHEMAS = {} HANDLER_ARGS_SCHEMAS = { 'GET': { 'user_id': { 'schema': { 'type': 'basestring' } } } } @acl_decorators.can_access_admin_page def get(self): user_id = self.normalized_request.get('user_id') user_is_deleted = wipeout_service.verify_user_deleted( user_id, include_delete_at_end_models=True) self.render_json({'related_models_exist': not user_is_deleted}) class DeleteUserHandler(base.BaseHandler): """Handler for deleting a user with specific ID.""" URL_PATH_ARGS_SCHEMAS = {} HANDLER_ARGS_SCHEMAS = { 'DELETE': { 'user_id': { 'schema': { 'type': 'basestring' } }, 'username': { 'schema': { 'type': 'basestring' } } } } @acl_decorators.can_delete_any_user def delete(self): user_id = self.normalized_request.get('user_id') username = self.normalized_request.get('username') user_id_from_username = ( user_services.get_user_id_from_username(username)) if user_id_from_username is None: raise self.InvalidInputException( 'The username doesn\'t belong to any user' ) if user_id_from_username != user_id: raise self.InvalidInputException( 'The user ID retrieved from the username and ' 'the user ID provided by admin differ.' ) wipeout_service.pre_delete_user(user_id) self.render_json({'success': True}) class UpdateBlogPostHandler(base.BaseHandler): """Handler for changing author ids and published on date in blog posts.""" URL_PATH_ARGS_SCHEMAS = {} HANDLER_ARGS_SCHEMAS = { 'PUT': { 'blog_post_id': { 'schema': { 'type': 'basestring' } }, 'author_username': { 'schema': { 'type': 'basestring', 'validators': [{ 'id': 'has_length_at_most', 'max_value': constants.MAX_USERNAME_LENGTH }] } }, 'published_on': { 'schema': { 'type': 'basestring' } } } } @acl_decorators.can_access_admin_page def put(self): blog_post_id = self.normalized_payload.get('blog_post_id') author_username = self.normalized_payload.get('author_username') published_on = self.normalized_payload.get('published_on') author_id = user_services.get_user_id_from_username(author_username) if author_id is None: raise self.InvalidInputException( 'Invalid username: %s' % author_username) user_actions = user_services.get_user_actions_info(author_id).actions if role_services.ACTION_ACCESS_BLOG_DASHBOARD not in user_actions: raise self.InvalidInputException( 'User does not have enough rights to be blog post author.') blog_post = ( blog_services.get_blog_post_by_id(blog_post_id, strict=False)) if blog_post is None: raise self.PageNotFoundException( Exception( 'The blog post with the given id or url doesn\'t exist.')) blog_services.update_blog_models_author_and_published_on_date( blog_post_id, author_id, published_on) self.render_json({})

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from __future__ import annotations import io import logging import random from core import feconf from core import utils from core.constants import constants from core.controllers import acl_decorators from core.controllers import base from core.controllers import domain_objects_validator as validation_method from core.domain import auth_services from core.domain import blog_services from core.domain import collection_services from core.domain import config_domain from core.domain import config_services from core.domain import email_manager from core.domain import exp_domain from core.domain import exp_fetchers from core.domain import exp_services from core.domain import opportunity_services from core.domain import platform_feature_services as feature_services from core.domain import platform_parameter_domain as parameter_domain from core.domain import question_domain from core.domain import question_services from core.domain import recommendations_services from core.domain import rights_manager from core.domain import role_services from core.domain import search_services from core.domain import skill_domain from core.domain import skill_services from core.domain import state_domain from core.domain import stats_services from core.domain import story_domain from core.domain import story_services from core.domain import subtopic_page_domain from core.domain import subtopic_page_services from core.domain import topic_domain from core.domain import topic_fetchers from core.domain import topic_services from core.domain import user_services from core.domain import wipeout_service class AdminPage(base.BaseHandler): URL_PATH_ARGS_SCHEMAS = {} HANDLER_ARGS_SCHEMAS = {'GET': {}} @acl_decorators.can_access_admin_page def get(self): self.render_template('admin-page.mainpage.html') class AdminHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON URL_PATH_ARGS_SCHEMAS = {} HANDLER_ARGS_SCHEMAS = { 'GET': {}, 'POST': { 'action': { 'schema': { 'type': 'basestring', 'choices': [ 'reload_exploration', 'reload_collection', 'generate_dummy_explorations', 'clear_search_index', 'generate_dummy_new_structures_data', 'generate_dummy_new_skill_data', 'save_config_properties', 'revert_config_property', 'upload_topic_similarities', 'regenerate_topic_related_opportunities', 'update_feature_flag_rules' ] }, ult_value': None }, 'exploration_id': { 'schema': { 'type': 'basestring' }, 'default_value': None }, 'collection_id': { 'schema': { 'type': 'basestring' }, 'default_value': None }, 'num_dummy_exps_to_generate': { 'schema': { 'type': 'int' }, 'default_value': None }, 'num_dummy_exps_to_publish': { 'schema': { 'type': 'int' }, 'default_value': None }, 'new_config_property_values': { 'schema': { 'type': 'object_dict', 'validation_method': ( validation_method.validate_new_config_property_values) }, 'default_value': None }, 'config_property_id': { 'schema': { 'type': 'basestring' }, 'default_value': None }, 'data': { 'schema': { 'type': 'basestring' }, 'default_value': None }, 'topic_id': { 'schema': { 'type': 'basestring' }, 'default_value': None }, 'feature_name': { 'schema': { 'type': 'basestring' }, 'default_value': None }, 'commit_message': { 'schema': { 'type': 'basestring' }, 'default_value': None }, 'new_rules': { 'schema': { 'type': 'list', 'items': { 'type': 'object_dict', 'object_class': parameter_domain.PlatformParameterRule } }, 'default_value': None } } } @acl_decorators.can_access_admin_page def get(self): demo_exploration_ids = list(feconf.DEMO_EXPLORATIONS.keys()) topic_summaries = topic_fetchers.get_all_topic_summaries() topic_summary_dicts = [ summary.to_dict() for summary in topic_summaries] feature_flag_dicts = feature_services.get_all_feature_flag_dicts() config_properties = config_domain.Registry.get_config_property_schemas() del config_properties['promo_bar_enabled'] del config_properties['promo_bar_message'] del config_properties['max_number_of_tags_assigned_to_blog_post'] del config_properties['list_of_default_tags_for_blog_post'] self.render_json({ 'config_properties': config_properties, 'demo_collections': sorted(feconf.DEMO_COLLECTIONS.items()), 'demo_explorations': sorted(feconf.DEMO_EXPLORATIONS.items()), 'demo_exploration_ids': demo_exploration_ids, 'updatable_roles': role_services.UPDATABLE_ROLES, 'viewable_roles': role_services.VIEWABLE_ROLES, 'human_readable_roles': role_services.HUMAN_READABLE_ROLES, 'role_to_actions': role_services.get_role_actions(), 'topic_summaries': topic_summary_dicts, 'feature_flags': feature_flag_dicts, }) @acl_decorators.can_access_admin_page def post(self): action = self.normalized_payload.get('action') try: result = {} if action == 'reload_exploration': exploration_id = self.normalized_payload.get('exploration_id') self._reload_exploration(exploration_id) elif action == 'reload_collection': collection_id = self.normalized_payload.get('collection_id') self._reload_collection(collection_id) elif action == 'generate_dummy_explorations': num_dummy_exps_to_generate = self.normalized_payload.get( 'num_dummy_exps_to_generate') num_dummy_exps_to_publish = self.normalized_payload.get( 'num_dummy_exps_to_publish') if num_dummy_exps_to_generate < num_dummy_exps_to_publish: raise self.InvalidInputException( 'Generate count cannot be less than publish count') else: self._generate_dummy_explorations( num_dummy_exps_to_generate, num_dummy_exps_to_publish) elif action == 'clear_search_index': search_services.clear_collection_search_index() search_services.clear_exploration_search_index() elif action == 'generate_dummy_new_structures_data': self._load_dummy_new_structures_data() elif action == 'generate_dummy_new_skill_data': self._generate_dummy_skill_and_questions() elif action == 'save_config_properties': new_config_property_values = self.normalized_payload.get( 'new_config_property_values') logging.info( '[ADMIN] %s saved config property values: %s' % (self.user_id, new_config_property_values)) for (name, value) in new_config_property_values.items(): config_services.set_property(self.user_id, name, value) elif action == 'revert_config_property': config_property_id = self.normalized_payload.get( 'config_property_id') logging.info( '[ADMIN] %s reverted config property: %s' % (self.user_id, config_property_id)) config_services.revert_property( self.user_id, config_property_id) elif action == 'upload_topic_similarities': data = self.normalized_payload.get('data') recommendations_services.update_topic_similarities(data) elif action == 'regenerate_topic_related_opportunities': topic_id = self.normalized_payload.get('topic_id') opportunities_count = ( opportunity_services .regenerate_opportunities_related_to_topic( topic_id, delete_existing_opportunities=True)) result = { 'opportunities_count': opportunities_count } elif action == 'update_feature_flag_rules': feature_name = self.normalized_payload.get('feature_name') new_rule_dicts = self.normalized_payload.get('new_rules') commit_message = self.normalized_payload.get('commit_message') try: feature_services.update_feature_flag_rules( feature_name, self.user_id, commit_message, new_rule_dicts) except ( utils.ValidationError, feature_services.FeatureFlagNotFoundException) as e: raise self.InvalidInputException(e) logging.info( '[ADMIN] %s updated feature %s with new rules: ' '%s.' % (self.user_id, feature_name, new_rule_dicts)) self.render_json(result) except Exception as e: logging.exception('[ADMIN] %s', e) self.render_json({'error': str(e)}) raise e def _reload_exploration(self, exploration_id): if constants.DEV_MODE: logging.info( '[ADMIN] %s reloaded exploration %s' % (self.user_id, exploration_id)) exp_services.load_demo(exploration_id) rights_manager.release_ownership_of_exploration( user_services.get_system_user(), exploration_id) else: raise Exception('Cannot reload an exploration in production.') def _create_dummy_question( self, question_id, question_content, linked_skill_ids): state = state_domain.State.create_default_state( 'ABC', is_initial_state=True) state.update_interaction_id('TextInput') state.update_interaction_customization_args({ 'placeholder': { 'value': { 'content_id': 'ca_placeholder_0', 'unicode_str': '' } }, 'rows': {'value': 1} }) state.update_next_content_id_index(1) state.update_linked_skill_id(None) state.update_content(state_domain.SubtitledHtml('1', question_content)) recorded_voiceovers = state_domain.RecordedVoiceovers({}) written_translations = state_domain.WrittenTranslations({}) recorded_voiceovers.add_content_id_for_voiceover('ca_placeholder_0') recorded_voiceovers.add_content_id_for_voiceover('1') recorded_voiceovers.add_content_id_for_voiceover('default_outcome') written_translations.add_content_id_for_translation('ca_placeholder_0') written_translations.add_content_id_for_translation('1') written_translations.add_content_id_for_translation('default_outcome') state.update_recorded_voiceovers(recorded_voiceovers) state.update_written_translations(written_translations) solution = state_domain.Solution( 'TextInput', False, 'Solution', state_domain.SubtitledHtml( 'solution', 'This is a solution.')) hints_list = [ state_domain.Hint( state_domain.SubtitledHtml('hint_1', 'This is a hint.') ) ] state.update_interaction_solution(solution) state.update_interaction_hints(hints_list) state.update_interaction_default_outcome( state_domain.Outcome( None, state_domain.SubtitledHtml( 'feedback_id', 'Dummy Feedback'), True, [], None, None ) ) question = question_domain.Question( question_id, state, feconf.CURRENT_STATE_SCHEMA_VERSION, constants.DEFAULT_LANGUAGE_CODE, 0, linked_skill_ids, []) return question def _create_dummy_skill(self, skill_id, skill_description, explanation): rubrics = [ skill_domain.Rubric( constants.SKILL_DIFFICULTIES[0], ['Explanation 1']), skill_domain.Rubric( constants.SKILL_DIFFICULTIES[1], ['Explanation 2']), skill_domain.Rubric( constants.SKILL_DIFFICULTIES[2], ['Explanation 3'])] skill = skill_domain.Skill.create_default_skill( skill_id, skill_description, rubrics) skill.update_explanation(state_domain.SubtitledHtml('1', explanation)) return skill def _load_dummy_new_structures_data(self): if constants.DEV_MODE: if feconf.ROLE_ID_CURRICULUM_ADMIN not in self.user.roles: raise Exception( 'User does not have enough rights to generate data.') topic_id_1 = topic_fetchers.get_new_topic_id() topic_id_2 = topic_fetchers.get_new_topic_id() story_id = story_services.get_new_story_id() skill_id_1 = skill_services.get_new_skill_id() skill_id_2 = skill_services.get_new_skill_id() skill_id_3 = skill_services.get_new_skill_id() question_id_1 = question_services.get_new_question_id() question_id_2 = question_services.get_new_question_id() question_id_3 = question_services.get_new_question_id() skill_1 = self._create_dummy_skill( skill_id_1, 'Dummy Skill 1', 'Dummy Explanation 1') skill_2 = self._create_dummy_skill( skill_id_2, 'Dummy Skill 2', 'Dummy Explanation 2') skill_3 = self._create_dummy_skill( skill_id_3, 'Dummy Skill 3', 'Dummy Explanation 3') question_1 = self._create_dummy_question( question_id_1, 'Question 1', [skill_id_1]) question_2 = self._create_dummy_question( question_id_2, 'Question 2', [skill_id_2]) question_3 = self._create_dummy_question( question_id_3, 'Question 3', [skill_id_3]) question_services.add_question(self.user_id, question_1) question_services.add_question(self.user_id, question_2) question_services.add_question(self.user_id, question_3) question_services.create_new_question_skill_link( self.user_id, question_id_1, skill_id_1, 0.3) question_services.create_new_question_skill_link( self.user_id, question_id_2, skill_id_2, 0.5) question_services.create_new_question_skill_link( self.user_id, question_id_3, skill_id_3, 0.7) topic_1 = topic_domain.Topic.create_default_topic( topic_id_1, 'Dummy Topic 1', 'dummy-topic-one', 'description') topic_2 = topic_domain.Topic.create_default_topic( topic_id_2, 'Empty Topic', 'empty-topic', 'description') topic_1.add_canonical_story(story_id) topic_1.add_uncategorized_skill_id(skill_id_1) topic_1.add_uncategorized_skill_id(skill_id_2) topic_1.add_uncategorized_skill_id(skill_id_3) topic_1.add_subtopic(1, 'Dummy Subtopic Title') topic_1.move_skill_id_to_subtopic(None, 1, skill_id_2) topic_1.move_skill_id_to_subtopic(None, 1, skill_id_3) subtopic_page = ( subtopic_page_domain.SubtopicPage.create_default_subtopic_page( 1, topic_id_1)) self._reload_exploration('15') self._reload_exploration('25') self._reload_exploration('13') exp_services.update_exploration( self.user_id, '15', [exp_domain.ExplorationChange({ 'cmd': exp_domain.CMD_EDIT_EXPLORATION_PROPERTY, 'property_name': 'correctness_feedback_enabled', 'new_value': True })], 'Changed correctness_feedback_enabled.') exp_services.update_exploration( self.user_id, '25', [exp_domain.ExplorationChange({ 'cmd': exp_domain.CMD_EDIT_EXPLORATION_PROPERTY, 'property_name': 'correctness_feedback_enabled', 'new_value': True })], 'Changed correctness_feedback_enabled.') exp_services.update_exploration( self.user_id, '13', [exp_domain.ExplorationChange({ 'cmd': exp_domain.CMD_EDIT_EXPLORATION_PROPERTY, 'property_name': 'correctness_feedback_enabled', 'new_value': True })], 'Changed correctness_feedback_enabled.') story = story_domain.Story.create_default_story( story_id, 'Help Jaime win the Arcade', 'Description', topic_id_1, 'help-jamie-win-arcade') story_node_dicts = [{ 'exp_id': '15', 'title': 'What are the place values?', 'description': 'Jaime learns the place value of each digit ' + 'in a big number.' }, { 'exp_id': '25', 'title': 'Finding the value of a number', 'description': 'Jaime understands the value of his ' + 'arcade score.' }, { 'exp_id': '13', 'title': 'Comparing Numbers', 'description': 'Jaime learns if a number is smaller or ' + 'greater than another number.' }] def generate_dummy_story_nodes(node_id, exp_id, title, description): story.add_node( '%s%d' % (story_domain.NODE_ID_PREFIX, node_id), title) story.update_node_description( '%s%d' % (story_domain.NODE_ID_PREFIX, node_id), description) story.update_node_exploration_id( '%s%d' % (story_domain.NODE_ID_PREFIX, node_id), exp_id) if node_id != len(story_node_dicts): story.update_node_destination_node_ids( '%s%d' % (story_domain.NODE_ID_PREFIX, node_id), ['%s%d' % (story_domain.NODE_ID_PREFIX, node_id + 1)]) exp_services.update_exploration( self.user_id, exp_id, [exp_domain.ExplorationChange({ 'cmd': exp_domain.CMD_EDIT_EXPLORATION_PROPERTY, 'property_name': 'category', 'new_value': 'Astronomy' })], 'Change category') for i, story_node_dict in enumerate(story_node_dicts): generate_dummy_story_nodes(i + 1, **story_node_dict) skill_services.save_new_skill(self.user_id, skill_1) skill_services.save_new_skill(self.user_id, skill_2) skill_services.save_new_skill(self.user_id, skill_3) story_services.save_new_story(self.user_id, story) topic_services.save_new_topic(self.user_id, topic_1) topic_services.save_new_topic(self.user_id, topic_2) subtopic_page_services.save_subtopic_page( self.user_id, subtopic_page, 'Added subtopic', [topic_domain.TopicChange({ 'cmd': topic_domain.CMD_ADD_SUBTOPIC, 'subtopic_id': 1, 'title': 'Dummy Subtopic Title' })] ) exp_ids_in_story = story.story_contents.get_all_linked_exp_ids() opportunity_services.add_new_exploration_opportunities( story_id, exp_ids_in_story) topic_services.publish_story(topic_id_1, story_id, self.user_id) else: raise Exception('Cannot load new structures data in production.') def _generate_dummy_skill_and_questions(self): if constants.DEV_MODE: if feconf.ROLE_ID_CURRICULUM_ADMIN not in self.user.roles: raise Exception( 'User does not have enough rights to generate data.') skill_id = skill_services.get_new_skill_id() skill_name = 'Dummy Skill %s' % str(random.getrandbits(32)) skill = self._create_dummy_skill( skill_id, skill_name, 'Dummy Explanation 1') skill_services.save_new_skill(self.user_id, skill) for i in range(15): question_id = question_services.get_new_question_id() question_name = 'Question number %s %s' % (str(i), skill_name) question = self._create_dummy_question( question_id, question_name, [skill_id]) question_services.add_question(self.user_id, question) question_difficulty = list( constants.SKILL_DIFFICULTY_LABEL_TO_FLOAT.values()) random_difficulty = random.choice(question_difficulty) question_services.create_new_question_skill_link( self.user_id, question_id, skill_id, random_difficulty) else: raise Exception('Cannot generate dummy skills in production.') def _reload_collection(self, collection_id): if constants.DEV_MODE: logging.info( '[ADMIN] %s reloaded collection %s' % (self.user_id, collection_id)) collection_services.load_demo(collection_id) rights_manager.release_ownership_of_collection( user_services.get_system_user(), collection_id) else: raise Exception('Cannot reload a collection in production.') def _generate_dummy_explorations( self, num_dummy_exps_to_generate, num_dummy_exps_to_publish): if constants.DEV_MODE: logging.info( '[ADMIN] %s generated %s number of dummy explorations' % (self.user_id, num_dummy_exps_to_generate)) possible_titles = ['Hulk Neuroscience', 'Quantum Starks', 'Wonder Anatomy', 'Elvish, language of "Lord of the Rings', 'The Science of Superheroes'] exploration_ids_to_publish = [] for i in range(num_dummy_exps_to_generate): title = random.choice(possible_titles) category = random.choice(constants.SEARCH_DROPDOWN_CATEGORIES) new_exploration_id = exp_fetchers.get_new_exploration_id() exploration = exp_domain.Exploration.create_default_exploration( new_exploration_id, title=title, category=category, objective='Dummy Objective') exp_services.save_new_exploration(self.user_id, exploration) if i <= num_dummy_exps_to_publish - 1: exploration_ids_to_publish.append(new_exploration_id) rights_manager.publish_exploration( self.user, new_exploration_id) exp_services.index_explorations_given_ids( exploration_ids_to_publish) else: raise Exception('Cannot generate dummy explorations in production.') class AdminRoleHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON URL_PATH_ARGS_SCHEMAS = {} HANDLER_ARGS_SCHEMAS = { 'GET': { 'filter_criterion': { 'schema': { 'type': 'basestring', 'choices': [ feconf.USER_FILTER_CRITERION_ROLE, feconf.USER_FILTER_CRITERION_USERNAME ] } }, 'role': { 'schema': { 'type': 'basestring', 'choices': role_services.VIEWABLE_ROLES }, 'default_value': None }, 'username': { 'schema': { 'type': 'basestring' }, 'default_value': None } }, 'PUT': { 'role': { 'schema': { 'type': 'basestring', 'choices': feconf.ALLOWED_USER_ROLES } }, 'username': { 'schema': { 'type': 'basestring' } } }, 'DELETE': { 'role': { 'schema': { 'type': 'basestring', 'choices': feconf.ALLOWED_USER_ROLES } }, 'username': { 'schema': { 'type': 'basestring' } } } } @acl_decorators.can_access_admin_page def get(self): filter_criterion = self.normalized_request.get( 'filter_criterion') if filter_criterion == feconf.USER_FILTER_CRITERION_ROLE: role = self.normalized_request.get( feconf.USER_FILTER_CRITERION_ROLE) role_services.log_role_query( self.user_id, feconf.ROLE_ACTION_VIEW_BY_ROLE, role=role) self.render_json({ 'usernames': user_services.get_usernames_by_role(role) }) elif filter_criterion == feconf.USER_FILTER_CRITERION_USERNAME: username = self.normalized_request.get( feconf.USER_FILTER_CRITERION_USERNAME) user_id = user_services.get_user_id_from_username(username) role_services.log_role_query( self.user_id, feconf.ROLE_ACTION_VIEW_BY_USERNAME, username=username) if user_id is None: raise self.InvalidInputException( 'User with given username does not exist.') user_settings = user_services.get_user_settings(user_id) user_roles = user_settings.roles managed_topic_ids = [] if feconf.ROLE_ID_TOPIC_MANAGER in user_roles: managed_topic_ids = [ rights.id for rights in topic_fetchers.get_topic_rights_with_user(user_id)] user_roles_dict = { 'roles': user_roles, 'managed_topic_ids': managed_topic_ids, 'banned': user_settings.banned } self.render_json(user_roles_dict) @acl_decorators.can_access_admin_page def put(self): username = self.payload.get('username') role = self.payload.get('role') user_settings = user_services.get_user_settings_from_username(username) if user_settings is None: raise self.InvalidInputException( 'User with given username does not exist.') if role == feconf.ROLE_ID_TOPIC_MANAGER: # The Topic manager role assignment is handled via # TopicManagerRoleHandler. raise self.InvalidInputException( 'Unsupported role for this handler.') user_services.add_user_role(user_settings.user_id, role) self.render_json({}) @acl_decorators.can_access_admin_page def delete(self): username = self.request.get('username') role = self.request.get('role') user_id = user_services.get_user_id_from_username(username) if user_id is None: raise self.InvalidInputException( 'User with given username does not exist.') if role == feconf.ROLE_ID_TOPIC_MANAGER: topic_services.deassign_user_from_all_topics(self.user, user_id) user_services.remove_user_role(user_id, role) self.render_json({}) class TopicManagerRoleHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON URL_PATH_ARGS_SCHEMAS = {} HANDLER_ARGS_SCHEMAS = { 'PUT': { 'username': { 'schema': { 'type': 'basestring' } }, 'action': { 'schema': { 'type': 'basestring', 'choices': ['assign', 'deassign'] } }, 'topic_id': { 'schema': { 'type': 'basestring' } } } } @acl_decorators.can_access_admin_page def put(self): username = self.normalized_payload.get('username') action = self.normalized_payload.get('action') topic_id = self.normalized_payload.get('topic_id') user_settings = user_services.get_user_settings_from_username(username) if user_settings is None: raise self.InvalidInputException( 'User with given username does not exist.') user_id = user_settings.user_id if action == 'assign': if not feconf.ROLE_ID_TOPIC_MANAGER in user_settings.roles: user_services.add_user_role( user_id, feconf.ROLE_ID_TOPIC_MANAGER) topic_manager = user_services.get_user_actions_info(user_id) topic_services.assign_role( user_services.get_system_user(), topic_manager, topic_domain.ROLE_MANAGER, topic_id) elif action == 'deassign': topic_services.deassign_manager_role_from_topic( user_services.get_system_user(), user_id, topic_id) if not topic_fetchers.get_topic_rights_with_user(user_id): user_services.remove_user_role( user_id, feconf.ROLE_ID_TOPIC_MANAGER) self.render_json({}) class BannedUsersHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON URL_PATH_ARGS_SCHEMAS = {} HANDLER_ARGS_SCHEMAS = { 'PUT': { 'username': { 'schema': { 'type': 'basestring' } } }, 'DELETE': { 'username': { 'schema': { 'type': 'basestring' } } } } @acl_decorators.can_access_admin_page def put(self): username = self.normalized_payload.get('username') user_id = user_services.get_user_id_from_username(username) if user_id is None: raise self.InvalidInputException( 'User with given username does not exist.') topic_services.deassign_user_from_all_topics(self.user, user_id) user_services.mark_user_banned(user_id) self.render_json({}) @acl_decorators.can_access_admin_page def delete(self): username = self.normalized_request.get('username') user_id = user_services.get_user_id_from_username(username) if user_id is None: raise self.InvalidInputException( 'User with given username does not exist.') user_services.unmark_user_banned(user_id) self.render_json({}) class AdminSuperAdminPrivilegesHandler(base.BaseHandler): PUT_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON DELETE_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON URL_PATH_ARGS_SCHEMAS = {} HANDLER_ARGS_SCHEMAS = { 'PUT': { 'username': { 'schema': { 'type': 'basestring' } } }, 'DELETE': { 'username': { 'schema': { 'type': 'basestring' } } } } @acl_decorators.can_access_admin_page def put(self): if self.email != feconf.ADMIN_EMAIL_ADDRESS: raise self.UnauthorizedUserException( 'Only the default system admin can manage super admins') username = self.normalized_payload.get('username') user_id = user_services.get_user_id_from_username(username) if user_id is None: raise self.InvalidInputException('No such user exists') auth_services.grant_super_admin_privileges(user_id) self.render_json(self.values) @acl_decorators.can_access_admin_page def delete(self): if self.email != feconf.ADMIN_EMAIL_ADDRESS: raise self.UnauthorizedUserException( 'Only the default system admin can manage super admins') username = self.normalized_request.get('username') user_settings = user_services.get_user_settings_from_username(username) if user_settings is None: raise self.InvalidInputException('No such user exists') if user_settings.email == feconf.ADMIN_EMAIL_ADDRESS: raise self.InvalidInputException( 'Cannot revoke privileges from the default super admin account') auth_services.revoke_super_admin_privileges(user_settings.user_id) self.render_json(self.values) class AdminTopicsCsvFileDownloader(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_DOWNLOADABLE URL_PATH_ARGS_SCHEMAS = {} HANDLER_ARGS_SCHEMAS = {'GET': {}} @acl_decorators.can_access_admin_page def get(self): topic_similarities = ( recommendations_services.get_topic_similarities_as_csv() ) # Downloadable file accepts only bytes, so we need to encode # topic_similarities to bytes. self.render_downloadable_file( io.BytesIO(topic_similarities.encode('utf-8')), 'topic_similarities.csv', 'text/csv' ) class DataExtractionQueryHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON URL_PATH_ARGS_SCHEMAS = {} HANDLER_ARGS_SCHEMAS = { 'GET': { 'exp_id': { 'schema': { 'type': 'basestring' } }, 'exp_version': { 'schema': { 'type': 'int' } }, 'state_name': { 'schema': { 'type': 'basestring' } }, 'num_answers': { 'schema': { 'type': 'int' } } } } @acl_decorators.can_access_admin_page def get(self): exp_id = self.normalized_request.get('exp_id') exp_version = self.normalized_request.get('exp_version') exploration = exp_fetchers.get_exploration_by_id( exp_id, strict=False, version=exp_version) if exploration is None: raise self.InvalidInputException( 'Entity for exploration with id %s and version %s not found.' % (exp_id, exp_version)) state_name = self.normalized_request.get('state_name') num_answers = self.normalized_request.get('num_answers') if state_name not in exploration.states: raise self.InvalidInputException( 'Exploration \'%s\' does not have \'%s\' state.' % (exp_id, state_name)) state_answers = stats_services.get_state_answers( exp_id, exp_version, state_name) extracted_answers = state_answers.get_submitted_answer_dict_list() if num_answers > 0: extracted_answers = extracted_answers[:num_answers] response = { 'data': extracted_answers } self.render_json(response) class SendDummyMailToAdminHandler(base.BaseHandler): URL_PATH_ARGS_SCHEMAS = {} HANDLER_ARGS_SCHEMAS = {'POST': {}} @acl_decorators.can_access_admin_page def post(self): username = self.username if feconf.CAN_SEND_EMAILS: email_manager.send_dummy_mail_to_admin(username) self.render_json({}) else: raise self.InvalidInputException('This app cannot send emails.') class UpdateUsernameHandler(base.BaseHandler): URL_PATH_ARGS_SCHEMAS = {} HANDLER_ARGS_SCHEMAS = { 'PUT': { 'old_username': { 'schema': { 'type': 'basestring' } }, 'new_username': { 'schema': { 'type': 'basestring', 'validators': [{ 'id': 'has_length_at_most', 'max_value': constants.MAX_USERNAME_LENGTH }] } } } } @acl_decorators.can_access_admin_page def put(self): old_username = self.normalized_payload.get('old_username') new_username = self.normalized_payload.get('new_username') user_id = user_services.get_user_id_from_username(old_username) if user_id is None: raise self.InvalidInputException( 'Invalid username: %s' % old_username) if user_services.is_username_taken(new_username): raise self.InvalidInputException('Username already taken.') user_services.set_username(user_id, new_username) user_services.log_username_change( self.user_id, old_username, new_username) self.render_json({}) class NumberOfDeletionRequestsHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON URL_PATH_ARGS_SCHEMAS = {} HANDLER_ARGS_SCHEMAS = {'GET': {}} @acl_decorators.can_access_admin_page def get(self): self.render_json({ 'number_of_pending_deletion_models': ( wipeout_service.get_number_of_pending_deletion_requests()) }) class VerifyUserModelsDeletedHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON URL_PATH_ARGS_SCHEMAS = {} HANDLER_ARGS_SCHEMAS = { 'GET': { 'user_id': { 'schema': { 'type': 'basestring' } } } } @acl_decorators.can_access_admin_page def get(self): user_id = self.normalized_request.get('user_id') user_is_deleted = wipeout_service.verify_user_deleted( user_id, include_delete_at_end_models=True) self.render_json({'related_models_exist': not user_is_deleted}) class DeleteUserHandler(base.BaseHandler): URL_PATH_ARGS_SCHEMAS = {} HANDLER_ARGS_SCHEMAS = { 'DELETE': { 'user_id': { 'schema': { 'type': 'basestring' } }, 'username': { 'schema': { 'type': 'basestring' } } } } @acl_decorators.can_delete_any_user def delete(self): user_id = self.normalized_request.get('user_id') username = self.normalized_request.get('username') user_id_from_username = ( user_services.get_user_id_from_username(username)) if user_id_from_username is None: raise self.InvalidInputException( 'The username doesn\'t belong to any user' ) if user_id_from_username != user_id: raise self.InvalidInputException( 'The user ID retrieved from the username and ' 'the user ID provided by admin differ.' ) wipeout_service.pre_delete_user(user_id) self.render_json({'success': True}) class UpdateBlogPostHandler(base.BaseHandler): URL_PATH_ARGS_SCHEMAS = {} HANDLER_ARGS_SCHEMAS = { 'PUT': { 'blog_post_id': { 'schema': { 'type': 'basestring' } }, 'author_username': { 'schema': { 'type': 'basestring', 'validators': [{ 'id': 'has_length_at_most', 'max_value': constants.MAX_USERNAME_LENGTH }] } }, 'published_on': { 'schema': { 'type': 'basestring' } } } } @acl_decorators.can_access_admin_page def put(self): blog_post_id = self.normalized_payload.get('blog_post_id') author_username = self.normalized_payload.get('author_username') published_on = self.normalized_payload.get('published_on') author_id = user_services.get_user_id_from_username(author_username) if author_id is None: raise self.InvalidInputException( 'Invalid username: %s' % author_username) user_actions = user_services.get_user_actions_info(author_id).actions if role_services.ACTION_ACCESS_BLOG_DASHBOARD not in user_actions: raise self.InvalidInputException( 'User does not have enough rights to be blog post author.') blog_post = ( blog_services.get_blog_post_by_id(blog_post_id, strict=False)) if blog_post is None: raise self.PageNotFoundException( Exception( 'The blog post with the given id or url doesn\'t exist.')) blog_services.update_blog_models_author_and_published_on_date( blog_post_id, author_id, published_on) self.render_json({})

true

f7f5160771f046651d966352e176bcb8d8968d41

156

py

Python

Python/Curos_Python_curemvid/Uteis/__init__.py

Jhonattan-rocha/Meus-primeiros-programas

f5971b66c0afd049b5d0493e8b7a116b391d058e

[ "MIT" ]

null

Python/Curos_Python_curemvid/Uteis/__init__.py

Jhonattan-rocha/Meus-primeiros-programas

f5971b66c0afd049b5d0493e8b7a116b391d058e

[ "MIT" ]

null

Python/Curos_Python_curemvid/Uteis/__init__.py

Jhonattan-rocha/Meus-primeiros-programas

f5971b66c0afd049b5d0493e8b7a116b391d058e

[ "MIT" ]

null

def fatorial(n): f = 1 for c in range(1, (n+1)): f *= c return f def dobro(n2): return n2 * 2 def triplo(n3): return n3 * 3

11.142857

29

0.487179

def fatorial(n): f = 1 for c in range(1, (n+1)): f *= c return f def dobro(n2): return n2 * 2 def triplo(n3): return n3 * 3

true

f7f517eb41b22582e3d7ec8e137ac64c4d7ab25b

309

py

Python

Kooleposhti/commands/views.py

ParizanTeam/Kooleposhti-Backend

e7d819b3e93836f1a893cc51541056cbf681d1c6

[ "MIT" ]

null

Kooleposhti/commands/views.py

ParizanTeam/Kooleposhti-Backend

e7d819b3e93836f1a893cc51541056cbf681d1c6

[ "MIT" ]

null

Kooleposhti/commands/views.py

ParizanTeam/Kooleposhti-Backend

e7d819b3e93836f1a893cc51541056cbf681d1c6

[ "MIT" ]

null

from django.shortcuts import render # Create your views here. from rest_framework.decorators import api_view import os import datetime @api_view(['GET']) def push_to_repo(request): bash_cmds = [ 'git add .', f'git commit -m {datetime.datetime.now()}', 'git push' ] pass

18.176471

51

0.656958

from django.shortcuts import render from rest_framework.decorators import api_view import os import datetime @api_view(['GET']) def push_to_repo(request): bash_cmds = [ 'git add .', f'git commit -m {datetime.datetime.now()}', 'git push' ] pass

true

f7f519b3e6b8488a8315a597be4bb57144b77bb4

91,347

py

Python

plugins/languageAPI/jsAPI/3rdParty/nodejs/10.1.0/source/tools/gyp/pylib/gyp/generator/make.py

wterkaj/ApertusVR

424ec5515ae08780542f33cc4841a8f9a96337b3

[ "MIT" ]

158

2016-11-17T19:37:51.000Z

2022-03-21T19:57:55.000Z

plugins/languageAPI/jsAPI/3rdParty/nodejs/10.1.0/source/tools/gyp/pylib/gyp/generator/make.py

wterkaj/ApertusVR

424ec5515ae08780542f33cc4841a8f9a96337b3

[ "MIT" ]

94

2016-11-18T09:55:57.000Z

2021-01-14T08:50:40.000Z

plugins/languageAPI/jsAPI/3rdParty/nodejs/10.1.0/source/tools/gyp/pylib/gyp/generator/make.py

wterkaj/ApertusVR

424ec5515ae08780542f33cc4841a8f9a96337b3

[ "MIT" ]

51

2017-05-24T10:20:25.000Z

2022-03-17T15:07:02.000Z

# Copyright (c) 2013 Google Inc. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. # Notes: # # This is all roughly based on the Makefile system used by the Linux # kernel, but is a non-recursive make -- we put the entire dependency # graph in front of make and let it figure it out. # # The code below generates a separate .mk file for each target, but # all are sourced by the top-level Makefile. This means that all # variables in .mk-files clobber one another. Be careful to use := # where appropriate for immediate evaluation, and similarly to watch # that you're not relying on a variable value to last beween different # .mk files. # # TODOs: # # Global settings and utility functions are currently stuffed in the # toplevel Makefile. It may make sense to generate some .mk files on # the side to keep the the files readable. import os import re import sys import subprocess import gyp import gyp.common import gyp.xcode_emulation from gyp.common import GetEnvironFallback from gyp.common import GypError import hashlib generator_default_variables = { 'EXECUTABLE_PREFIX': '', 'EXECUTABLE_SUFFIX': '', 'STATIC_LIB_PREFIX': 'lib', 'SHARED_LIB_PREFIX': 'lib', 'STATIC_LIB_SUFFIX': '.a', 'INTERMEDIATE_DIR': '$(obj).$(TOOLSET)/$(TARGET)/geni', 'SHARED_INTERMEDIATE_DIR': '$(obj)/gen', 'PRODUCT_DIR': '$(builddir)', 'RULE_INPUT_ROOT': '%(INPUT_ROOT)s', # This gets expanded by Python. 'RULE_INPUT_DIRNAME': '%(INPUT_DIRNAME)s', # This gets expanded by Python. 'RULE_INPUT_PATH': '$(abspath $<)', 'RULE_INPUT_EXT': '$(suffix $<)', 'RULE_INPUT_NAME': '$(notdir $<)', 'CONFIGURATION_NAME': '$(BUILDTYPE)', } # Make supports multiple toolsets generator_supports_multiple_toolsets = True # Request sorted dependencies in the order from dependents to dependencies. generator_wants_sorted_dependencies = False # Placates pylint. generator_additional_non_configuration_keys = [] generator_additional_path_sections = [] generator_extra_sources_for_rules = [] generator_filelist_paths = None def CalculateVariables(default_variables, params): """Calculate additional variables for use in the build (called by gyp).""" flavor = gyp.common.GetFlavor(params) if flavor == 'mac': default_variables.setdefault('OS', 'mac') default_variables.setdefault('SHARED_LIB_SUFFIX', '.dylib') default_variables.setdefault('SHARED_LIB_DIR', generator_default_variables['PRODUCT_DIR']) default_variables.setdefault('LIB_DIR', generator_default_variables['PRODUCT_DIR']) # Copy additional generator configuration data from Xcode, which is shared # by the Mac Make generator. import gyp.generator.xcode as xcode_generator global generator_additional_non_configuration_keys generator_additional_non_configuration_keys = getattr(xcode_generator, 'generator_additional_non_configuration_keys', []) global generator_additional_path_sections generator_additional_path_sections = getattr(xcode_generator, 'generator_additional_path_sections', []) global generator_extra_sources_for_rules generator_extra_sources_for_rules = getattr(xcode_generator, 'generator_extra_sources_for_rules', []) COMPILABLE_EXTENSIONS.update({'.m': 'objc', '.mm' : 'objcxx'}) else: operating_system = flavor if flavor == 'android': operating_system = 'linux' # Keep this legacy behavior for now. default_variables.setdefault('OS', operating_system) if flavor == 'aix': default_variables.setdefault('SHARED_LIB_SUFFIX', '.a') else: default_variables.setdefault('SHARED_LIB_SUFFIX', '.so') default_variables.setdefault('SHARED_LIB_DIR','$(builddir)/lib.$(TOOLSET)') default_variables.setdefault('LIB_DIR', '$(obj).$(TOOLSET)') def CalculateGeneratorInputInfo(params): """Calculate the generator specific info that gets fed to input (called by gyp).""" generator_flags = params.get('generator_flags', {}) android_ndk_version = generator_flags.get('android_ndk_version', None) # Android NDK requires a strict link order. if android_ndk_version: global generator_wants_sorted_dependencies generator_wants_sorted_dependencies = True output_dir = params['options'].generator_output or \ params['options'].toplevel_dir builddir_name = generator_flags.get('output_dir', 'out') qualified_out_dir = os.path.normpath(os.path.join( output_dir, builddir_name, 'gypfiles')) global generator_filelist_paths generator_filelist_paths = { 'toplevel': params['options'].toplevel_dir, 'qualified_out_dir': qualified_out_dir, } # The .d checking code below uses these functions: # wildcard, sort, foreach, shell, wordlist # wildcard can handle spaces, the rest can't. # Since I could find no way to make foreach work with spaces in filenames # correctly, the .d files have spaces replaced with another character. The .d # file for # Chromium\ Framework.framework/foo # is for example # out/Release/.deps/out/Release/Chromium?Framework.framework/foo # This is the replacement character. SPACE_REPLACEMENT = '?' LINK_COMMANDS_LINUX = """\ quiet_cmd_alink = AR($(TOOLSET)) $@ cmd_alink = rm -f $@ && $(AR.$(TOOLSET)) crs $@ $(filter %.o,$^) quiet_cmd_alink_thin = AR($(TOOLSET)) $@ cmd_alink_thin = rm -f $@ && $(AR.$(TOOLSET)) crsT $@ $(filter %.o,$^) # Due to circular dependencies between libraries :(, we wrap the # special "figure out circular dependencies" flags around the entire # input list during linking. quiet_cmd_link = LINK($(TOOLSET)) $@ cmd_link = $(LINK.$(TOOLSET)) $(GYP_LDFLAGS) $(LDFLAGS.$(TOOLSET)) -o $@ -Wl,--start-group $(LD_INPUTS) $(LIBS) -Wl,--end-group # We support two kinds of shared objects (.so): # 1) shared_library, which is just bundling together many dependent libraries # into a link line. # 2) loadable_module, which is generating a module intended for dlopen(). # # They differ only slightly: # In the former case, we want to package all dependent code into the .so. # In the latter case, we want to package just the API exposed by the # outermost module. # This means shared_library uses --whole-archive, while loadable_module doesn't. # (Note that --whole-archive is incompatible with the --start-group used in # normal linking.) # Other shared-object link notes: # - Set SONAME to the library filename so our binaries don't reference # the local, absolute paths used on the link command-line. quiet_cmd_solink = SOLINK($(TOOLSET)) $@ cmd_solink = $(LINK.$(TOOLSET)) -shared $(GYP_LDFLAGS) $(LDFLAGS.$(TOOLSET)) -Wl,-soname=$(@F) -o $@ -Wl,--whole-archive $(LD_INPUTS) -Wl,--no-whole-archive $(LIBS) quiet_cmd_solink_module = SOLINK_MODULE($(TOOLSET)) $@ cmd_solink_module = $(LINK.$(TOOLSET)) -shared $(GYP_LDFLAGS) $(LDFLAGS.$(TOOLSET)) -Wl,-soname=$(@F) -o $@ -Wl,--start-group $(filter-out FORCE_DO_CMD, $^) -Wl,--end-group $(LIBS) """ LINK_COMMANDS_MAC = """\ quiet_cmd_alink = LIBTOOL-STATIC $@ cmd_alink = rm -f $@ && ./gyp-mac-tool filter-libtool libtool $(GYP_LIBTOOLFLAGS) -static -o $@ $(filter %.o,$^) quiet_cmd_link = LINK($(TOOLSET)) $@ cmd_link = $(LINK.$(TOOLSET)) $(GYP_LDFLAGS) $(LDFLAGS.$(TOOLSET)) -o "$@" $(LD_INPUTS) $(LIBS) quiet_cmd_solink = SOLINK($(TOOLSET)) $@ cmd_solink = $(LINK.$(TOOLSET)) -shared $(GYP_LDFLAGS) $(LDFLAGS.$(TOOLSET)) -o "$@" $(LD_INPUTS) $(LIBS) quiet_cmd_solink_module = SOLINK_MODULE($(TOOLSET)) $@ cmd_solink_module = $(LINK.$(TOOLSET)) -bundle $(GYP_LDFLAGS) $(LDFLAGS.$(TOOLSET)) -o $@ $(filter-out FORCE_DO_CMD, $^) $(LIBS) """ LINK_COMMANDS_ANDROID = """\ quiet_cmd_alink = AR($(TOOLSET)) $@ cmd_alink = rm -f $@ && $(AR.$(TOOLSET)) crs $@ $(filter %.o,$^) quiet_cmd_alink_thin = AR($(TOOLSET)) $@ cmd_alink_thin = rm -f $@ && $(AR.$(TOOLSET)) crsT $@ $(filter %.o,$^) # Due to circular dependencies between libraries :(, we wrap the # special "figure out circular dependencies" flags around the entire # input list during linking. quiet_cmd_link = LINK($(TOOLSET)) $@ quiet_cmd_link_host = LINK($(TOOLSET)) $@ cmd_link = $(LINK.$(TOOLSET)) $(GYP_LDFLAGS) $(LDFLAGS.$(TOOLSET)) -o $@ -Wl,--start-group $(LD_INPUTS) -Wl,--end-group $(LIBS) cmd_link_host = $(LINK.$(TOOLSET)) $(GYP_LDFLAGS) $(LDFLAGS.$(TOOLSET)) -o $@ $(LD_INPUTS) $(LIBS) # Other shared-object link notes: # - Set SONAME to the library filename so our binaries don't reference # the local, absolute paths used on the link command-line. quiet_cmd_solink = SOLINK($(TOOLSET)) $@ cmd_solink = $(LINK.$(TOOLSET)) -shared $(GYP_LDFLAGS) $(LDFLAGS.$(TOOLSET)) -Wl,-soname=$(@F) -o $@ -Wl,--whole-archive $(LD_INPUTS) -Wl,--no-whole-archive $(LIBS) quiet_cmd_solink_module = SOLINK_MODULE($(TOOLSET)) $@ cmd_solink_module = $(LINK.$(TOOLSET)) -shared $(GYP_LDFLAGS) $(LDFLAGS.$(TOOLSET)) -Wl,-soname=$(@F) -o $@ -Wl,--start-group $(filter-out FORCE_DO_CMD, $^) -Wl,--end-group $(LIBS) quiet_cmd_solink_module_host = SOLINK_MODULE($(TOOLSET)) $@ cmd_solink_module_host = $(LINK.$(TOOLSET)) -shared $(GYP_LDFLAGS) $(LDFLAGS.$(TOOLSET)) -Wl,-soname=$(@F) -o $@ $(filter-out FORCE_DO_CMD, $^) $(LIBS) """ LINK_COMMANDS_AIX = """\ quiet_cmd_alink = AR($(TOOLSET)) $@ cmd_alink = rm -f $@ && $(AR.$(TOOLSET)) -X32_64 crs $@ $(filter %.o,$^) quiet_cmd_alink_thin = AR($(TOOLSET)) $@ cmd_alink_thin = rm -f $@ && $(AR.$(TOOLSET)) -X32_64 crs $@ $(filter %.o,$^) quiet_cmd_link = LINK($(TOOLSET)) $@ cmd_link = $(LINK.$(TOOLSET)) $(GYP_LDFLAGS) $(LDFLAGS.$(TOOLSET)) -o $@ $(LD_INPUTS) $(LIBS) quiet_cmd_solink = SOLINK($(TOOLSET)) $@ cmd_solink = $(LINK.$(TOOLSET)) -shared $(GYP_LDFLAGS) $(LDFLAGS.$(TOOLSET)) -o $@ $(LD_INPUTS) $(LIBS) quiet_cmd_solink_module = SOLINK_MODULE($(TOOLSET)) $@ cmd_solink_module = $(LINK.$(TOOLSET)) -shared $(GYP_LDFLAGS) $(LDFLAGS.$(TOOLSET)) -o $@ $(filter-out FORCE_DO_CMD, $^) $(LIBS) """ # Header of toplevel Makefile. # This should go into the build tree, but it's easier to keep it here for now. SHARED_HEADER = ("""\ # We borrow heavily from the kernel build setup, though we are simpler since # we don't have Kconfig tweaking settings on us. # The implicit make rules have it looking for RCS files, among other things. # We instead explicitly write all the rules we care about. # It's even quicker (saves ~200ms) to pass -r on the command line. MAKEFLAGS=-r # The source directory tree. srcdir := %(srcdir)s abs_srcdir := $(abspath $(srcdir)) # The name of the builddir. builddir_name ?= %(builddir)s # The V=1 flag on command line makes us verbosely print command lines. ifdef V quiet= else quiet=quiet_ endif # Specify BUILDTYPE=Release on the command line for a release build. BUILDTYPE ?= %(default_configuration)s # Directory all our build output goes into. # Note that this must be two directories beneath src/ for unit tests to pass, # as they reach into the src/ directory for data with relative paths. builddir ?= $(builddir_name)/$(BUILDTYPE) abs_builddir := $(abspath $(builddir)) depsdir := $(builddir)/.deps # Object output directory. obj := $(builddir)/obj abs_obj := $(abspath $(obj)) # We build up a list of every single one of the targets so we can slurp in the # generated dependency rule Makefiles in one pass. all_deps := %(make_global_settings)s CC.target ?= %(CC.target)s CFLAGS.target ?= $(CPPFLAGS) $(CFLAGS) CXX.target ?= %(CXX.target)s CXXFLAGS.target ?= $(CPPFLAGS) $(CXXFLAGS) LINK.target ?= %(LINK.target)s LDFLAGS.target ?= $(LDFLAGS) AR.target ?= $(AR) # C++ apps need to be linked with g++. LINK ?= $(CXX.target) # TODO(evan): move all cross-compilation logic to gyp-time so we don't need # to replicate this environment fallback in make as well. CC.host ?= %(CC.host)s CFLAGS.host ?= $(CPPFLAGS_host) $(CFLAGS_host) CXX.host ?= %(CXX.host)s CXXFLAGS.host ?= $(CPPFLAGS_host) $(CXXFLAGS_host) LINK.host ?= %(LINK.host)s LDFLAGS.host ?= AR.host ?= %(AR.host)s # Define a dir function that can handle spaces. # http://www.gnu.org/software/make/manual/make.html#Syntax-of-Functions # "leading spaces cannot appear in the text of the first argument as written. # These characters can be put into the argument value by variable substitution." empty := space := $(empty) $(empty) # http://stackoverflow.com/questions/1189781/using-make-dir-or-notdir-on-a-path-with-spaces replace_spaces = $(subst $(space),""" + SPACE_REPLACEMENT + """,$1) unreplace_spaces = $(subst """ + SPACE_REPLACEMENT + """,$(space),$1) dirx = $(call unreplace_spaces,$(dir $(call replace_spaces,$1))) # Flags to make gcc output dependency info. Note that you need to be # careful here to use the flags that ccache and distcc can understand. # We write to a dep file on the side first and then rename at the end # so we can't end up with a broken dep file. depfile = $(depsdir)/$(call replace_spaces,$@).d DEPFLAGS = -MMD -MF $(depfile).raw # We have to fixup the deps output in a few ways. # (1) the file output should mention the proper .o file. # ccache or distcc lose the path to the target, so we convert a rule of # the form: # foobar.o: DEP1 DEP2 # into # path/to/foobar.o: DEP1 DEP2 # (2) we want missing files not to cause us to fail to build. # We want to rewrite # foobar.o: DEP1 DEP2 \\ # DEP3 # to # DEP1: # DEP2: # DEP3: # so if the files are missing, they're just considered phony rules. # We have to do some pretty insane escaping to get those backslashes # and dollar signs past make, the shell, and sed at the same time. # Doesn't work with spaces, but that's fine: .d files have spaces in # their names replaced with other characters.""" r""" define fixup_dep # The depfile may not exist if the input file didn't have any #includes. touch $(depfile).raw # Fixup path as in (1). sed -e "s|^$(notdir $@)|$@|" $(depfile).raw >> $(depfile) # Add extra rules as in (2). # We remove slashes and replace spaces with new lines; # remove blank lines; # delete the first line and append a colon to the remaining lines. sed -e 's|\\||' -e 'y| |\n|' $(depfile).raw |\ grep -v '^$$' |\ sed -e 1d -e 's|$$|:|' \ >> $(depfile) rm $(depfile).raw endef """ """ # Command definitions: # - cmd_foo is the actual command to run; # - quiet_cmd_foo is the brief-output summary of the command. quiet_cmd_cc = CC($(TOOLSET)) $@ cmd_cc = $(CC.$(TOOLSET)) $(GYP_CFLAGS) $(DEPFLAGS) $(CFLAGS.$(TOOLSET)) -c -o $@ $< quiet_cmd_cxx = CXX($(TOOLSET)) $@ cmd_cxx = $(CXX.$(TOOLSET)) $(GYP_CXXFLAGS) $(DEPFLAGS) $(CXXFLAGS.$(TOOLSET)) -c -o $@ $< %(extra_commands)s quiet_cmd_touch = TOUCH $@ cmd_touch = touch $@ quiet_cmd_copy = COPY $@ # send stderr to /dev/null to ignore messages when linking directories. cmd_copy = ln -f "$<" "$@" 2>/dev/null || (rm -rf "$@" && cp %(copy_archive_args)s "$<" "$@") %(link_commands)s """ r""" # Define an escape_quotes function to escape single quotes. # This allows us to handle quotes properly as long as we always use # use single quotes and escape_quotes. escape_quotes = $(subst ','\'',$(1)) # This comment is here just to include a ' to unconfuse syntax highlighting. # Define an escape_vars function to escape '$' variable syntax. # This allows us to read/write command lines with shell variables (e.g. # $LD_LIBRARY_PATH), without triggering make substitution. escape_vars = $(subst $$,$$$$,$(1)) # Helper that expands to a shell command to echo a string exactly as it is in # make. This uses printf instead of echo because printf's behaviour with respect # to escape sequences is more portable than echo's across different shells # (e.g., dash, bash). exact_echo = printf '%%s\n' '$(call escape_quotes,$(1))' """ """ # Helper to compare the command we're about to run against the command # we logged the last time we ran the command. Produces an empty # string (false) when the commands match. # Tricky point: Make has no string-equality test function. # The kernel uses the following, but it seems like it would have false # positives, where one string reordered its arguments. # arg_check = $(strip $(filter-out $(cmd_$(1)), $(cmd_$@)) \\ # $(filter-out $(cmd_$@), $(cmd_$(1)))) # We instead substitute each for the empty string into the other, and # say they're equal if both substitutions produce the empty string. # .d files contain """ + SPACE_REPLACEMENT + \ """ instead of spaces, take that into account. command_changed = $(or $(subst $(cmd_$(1)),,$(cmd_$(call replace_spaces,$@))),\\ $(subst $(cmd_$(call replace_spaces,$@)),,$(cmd_$(1)))) # Helper that is non-empty when a prerequisite changes. # Normally make does this implicitly, but we force rules to always run # so we can check their command lines. # $? -- new prerequisites # $| -- order-only dependencies prereq_changed = $(filter-out FORCE_DO_CMD,$(filter-out $|,$?)) # Helper that executes all postbuilds until one fails. define do_postbuilds @E=0;\\ for p in $(POSTBUILDS); do\\ eval $$p;\\ E=$$?;\\ if [ $$E -ne 0 ]; then\\ break;\\ fi;\\ done;\\ if [ $$E -ne 0 ]; then\\ rm -rf "$@";\\ exit $$E;\\ fi endef # do_cmd: run a command via the above cmd_foo names, if necessary. # Should always run for a given target to handle command-line changes. # Second argument, if non-zero, makes it do asm/C/C++ dependency munging. # Third argument, if non-zero, makes it do POSTBUILDS processing. # Note: We intentionally do NOT call dirx for depfile, since it contains """ + \ SPACE_REPLACEMENT + """ for # spaces already and dirx strips the """ + SPACE_REPLACEMENT + \ """ characters. define do_cmd $(if $(or $(command_changed),$(prereq_changed)), @$(call exact_echo, $($(quiet)cmd_$(1))) @mkdir -p "$(call dirx,$@)" "$(dir $(depfile))" $(if $(findstring flock,$(word %(flock_index)d,$(cmd_$1))), @$(cmd_$(1)) @echo " $(quiet_cmd_$(1)): Finished", @$(cmd_$(1)) ) @$(call exact_echo,$(call escape_vars,cmd_$(call replace_spaces,$@) := $(cmd_$(1)))) > $(depfile) @$(if $(2),$(fixup_dep)) $(if $(and $(3), $(POSTBUILDS)), $(call do_postbuilds) ) ) endef # Declare the "%(default_target)s" target first so it is the default, # even though we don't have the deps yet. .PHONY: %(default_target)s %(default_target)s: # make looks for ways to re-generate included makefiles, but in our case, we # don't have a direct way. Explicitly telling make that it has nothing to do # for them makes it go faster. %%.d: ; # Use FORCE_DO_CMD to force a target to run. Should be coupled with # do_cmd. .PHONY: FORCE_DO_CMD FORCE_DO_CMD: """) SHARED_HEADER_MAC_COMMANDS = """ quiet_cmd_objc = CXX($(TOOLSET)) $@ cmd_objc = $(CC.$(TOOLSET)) $(GYP_OBJCFLAGS) $(DEPFLAGS) -c -o $@ $< quiet_cmd_objcxx = CXX($(TOOLSET)) $@ cmd_objcxx = $(CXX.$(TOOLSET)) $(GYP_OBJCXXFLAGS) $(DEPFLAGS) -c -o $@ $< # Commands for precompiled header files. quiet_cmd_pch_c = CXX($(TOOLSET)) $@ cmd_pch_c = $(CC.$(TOOLSET)) $(GYP_PCH_CFLAGS) $(DEPFLAGS) $(CXXFLAGS.$(TOOLSET)) -c -o $@ $< quiet_cmd_pch_cc = CXX($(TOOLSET)) $@ cmd_pch_cc = $(CC.$(TOOLSET)) $(GYP_PCH_CXXFLAGS) $(DEPFLAGS) $(CXXFLAGS.$(TOOLSET)) -c -o $@ $< quiet_cmd_pch_m = CXX($(TOOLSET)) $@ cmd_pch_m = $(CC.$(TOOLSET)) $(GYP_PCH_OBJCFLAGS) $(DEPFLAGS) -c -o $@ $< quiet_cmd_pch_mm = CXX($(TOOLSET)) $@ cmd_pch_mm = $(CC.$(TOOLSET)) $(GYP_PCH_OBJCXXFLAGS) $(DEPFLAGS) -c -o $@ $< # gyp-mac-tool is written next to the root Makefile by gyp. # Use $(4) for the command, since $(2) and $(3) are used as flag by do_cmd # already. quiet_cmd_mac_tool = MACTOOL $(4) $< cmd_mac_tool = ./gyp-mac-tool $(4) $< "$@" quiet_cmd_mac_package_framework = PACKAGE FRAMEWORK $@ cmd_mac_package_framework = ./gyp-mac-tool package-framework "$@" $(4) quiet_cmd_infoplist = INFOPLIST $@ cmd_infoplist = $(CC.$(TOOLSET)) -E -P -Wno-trigraphs -x c $(INFOPLIST_DEFINES) "$<" -o "$@" """ def WriteRootHeaderSuffixRules(writer): extensions = sorted(COMPILABLE_EXTENSIONS.keys(), key=str.lower) writer.write('# Suffix rules, putting all outputs into $(obj).\n') for ext in extensions: writer.write('$(obj).$(TOOLSET)/%%.o: $(srcdir)/%%%s FORCE_DO_CMD\n' % ext) writer.write('\t@$(call do_cmd,%s,1)\n' % COMPILABLE_EXTENSIONS[ext]) writer.write('\n# Try building from generated source, too.\n') for ext in extensions: writer.write( '$(obj).$(TOOLSET)/%%.o: $(obj).$(TOOLSET)/%%%s FORCE_DO_CMD\n' % ext) writer.write('\t@$(call do_cmd,%s,1)\n' % COMPILABLE_EXTENSIONS[ext]) writer.write('\n') for ext in extensions: writer.write('$(obj).$(TOOLSET)/%%.o: $(obj)/%%%s FORCE_DO_CMD\n' % ext) writer.write('\t@$(call do_cmd,%s,1)\n' % COMPILABLE_EXTENSIONS[ext]) writer.write('\n') SHARED_HEADER_SUFFIX_RULES_COMMENT1 = ("""\ # Suffix rules, putting all outputs into $(obj). """) SHARED_HEADER_SUFFIX_RULES_COMMENT2 = ("""\ # Try building from generated source, too. """) SHARED_FOOTER = """\ # "all" is a concatenation of the "all" targets from all the included # sub-makefiles. This is just here to clarify. all: # Add in dependency-tracking rules. $(all_deps) is the list of every single # target in our tree. Only consider the ones with .d (dependency) info: d_files := $(wildcard $(foreach f,$(all_deps),$(depsdir)/$(f).d)) ifneq ($(d_files),) include $(d_files) endif """ header = """\ # This file is generated by gyp; do not edit. """ # Maps every compilable file extension to the do_cmd that compiles it. COMPILABLE_EXTENSIONS = { '.c': 'cc', '.cc': 'cxx', '.cpp': 'cxx', '.cxx': 'cxx', '.s': 'cc', '.S': 'cc', } def Compilable(filename): """Return true if the file is compilable (should be in OBJS).""" for res in (filename.endswith(e) for e in COMPILABLE_EXTENSIONS): if res: return True return False def Linkable(filename): """Return true if the file is linkable (should be on the link line).""" return filename.endswith('.o') def Target(filename): """Translate a compilable filename to its .o target.""" return os.path.splitext(filename)[0] + '.o' def EscapeShellArgument(s): """Quotes an argument so that it will be interpreted literally by a POSIX shell. Taken from http://stackoverflow.com/questions/35817/whats-the-best-way-to-escape-ossystem-calls-in-python """ return "'" + s.replace("'", "'\\''") + "'" def EscapeMakeVariableExpansion(s): """Make has its own variable expansion syntax using $. We must escape it for string to be interpreted literally.""" return s.replace('$', '$$') def EscapeCppDefine(s): """Escapes a CPP define so that it will reach the compiler unaltered.""" s = EscapeShellArgument(s) s = EscapeMakeVariableExpansion(s) # '#' characters must be escaped even embedded in a string, else Make will # treat it as the start of a comment. return s.replace('#', r'\#') def QuoteIfNecessary(string): """TODO: Should this ideally be replaced with one or more of the above functions?""" if '"' in string: string = '"' + string.replace('"', '\\"') + '"' return string def StringToMakefileVariable(string): """Convert a string to a value that is acceptable as a make variable name.""" return re.sub('[^a-zA-Z0-9_]', '_', string) srcdir_prefix = '' def Sourceify(path): """Convert a path to its source directory form.""" if '$(' in path: return path if os.path.isabs(path): return path return srcdir_prefix + path def QuoteSpaces(s, quote=r'\ '): return s.replace(' ', quote) # TODO: Avoid code duplication with _ValidateSourcesForMSVSProject in msvs.py. def _ValidateSourcesForOSX(spec, all_sources): """Makes sure if duplicate basenames are not specified in the source list. Arguments: spec: The target dictionary containing the properties of the target. """ if spec.get('type', None) != 'static_library': return basenames = {} for source in all_sources: name, ext = os.path.splitext(source) is_compiled_file = ext in [ '.c', '.cc', '.cpp', '.cxx', '.m', '.mm', '.s', '.S'] if not is_compiled_file: continue basename = os.path.basename(name) # Don't include extension. basenames.setdefault(basename, []).append(source) error = '' for basename, files in basenames.iteritems(): if len(files) > 1: error += ' %s: %s\n' % (basename, ' '.join(files)) if error: print('static library %s has several files with the same basename:\n' % spec['target_name'] + error + 'libtool on OS X will generate' + ' warnings for them.') raise GypError('Duplicate basenames in sources section, see list above') # Map from qualified target to path to output. target_outputs = {} # Map from qualified target to any linkable output. A subset # of target_outputs. E.g. when mybinary depends on liba, we want to # include liba in the linker line; when otherbinary depends on # mybinary, we just want to build mybinary first. target_link_deps = {} class MakefileWriter(object): """MakefileWriter packages up the writing of one target-specific foobar.mk. Its only real entry point is Write(), and is mostly used for namespacing. """ def __init__(self, generator_flags, flavor): self.generator_flags = generator_flags self.flavor = flavor self.suffix_rules_srcdir = {} self.suffix_rules_objdir1 = {} self.suffix_rules_objdir2 = {} # Generate suffix rules for all compilable extensions. for ext in COMPILABLE_EXTENSIONS.keys(): # Suffix rules for source folder. self.suffix_rules_srcdir.update({ext: ("""\ $(obj).$(TOOLSET)/$(TARGET)/%%.o: $(srcdir)/%%%s FORCE_DO_CMD @$(call do_cmd,%s,1) """ % (ext, COMPILABLE_EXTENSIONS[ext]))}) # Suffix rules for generated source files. self.suffix_rules_objdir1.update({ext: ("""\ $(obj).$(TOOLSET)/$(TARGET)/%%.o: $(obj).$(TOOLSET)/%%%s FORCE_DO_CMD @$(call do_cmd,%s,1) """ % (ext, COMPILABLE_EXTENSIONS[ext]))}) self.suffix_rules_objdir2.update({ext: ("""\ $(obj).$(TOOLSET)/$(TARGET)/%%.o: $(obj)/%%%s FORCE_DO_CMD @$(call do_cmd,%s,1) """ % (ext, COMPILABLE_EXTENSIONS[ext]))}) def Write(self, qualified_target, base_path, output_filename, spec, configs, part_of_all): """The main entry point: writes a .mk file for a single target. Arguments: qualified_target: target we're generating base_path: path relative to source root we're building in, used to resolve target-relative paths output_filename: output .mk file name to write spec, configs: gyp info part_of_all: flag indicating this target is part of 'all' """ gyp.common.EnsureDirExists(output_filename) self.fp = open(output_filename, 'w') self.fp.write(header) self.qualified_target = qualified_target self.path = base_path self.target = spec['target_name'] self.type = spec['type'] self.toolset = spec['toolset'] self.is_mac_bundle = gyp.xcode_emulation.IsMacBundle(self.flavor, spec) if self.flavor == 'mac': self.xcode_settings = gyp.xcode_emulation.XcodeSettings(spec) else: self.xcode_settings = None deps, link_deps = self.ComputeDeps(spec) # Some of the generation below can add extra output, sources, or # link dependencies. All of the out params of the functions that # follow use names like extra_foo. extra_outputs = [] extra_sources = [] extra_link_deps = [] extra_mac_bundle_resources = [] mac_bundle_deps = [] if self.is_mac_bundle: self.output = self.ComputeMacBundleOutput(spec) self.output_binary = self.ComputeMacBundleBinaryOutput(spec) else: self.output = self.output_binary = self.ComputeOutput(spec) self.is_standalone_static_library = bool( spec.get('standalone_static_library', 0)) self._INSTALLABLE_TARGETS = ('executable', 'loadable_module', 'shared_library') if (self.is_standalone_static_library or self.type in self._INSTALLABLE_TARGETS): self.alias = os.path.basename(self.output) install_path = self._InstallableTargetInstallPath() else: self.alias = self.output install_path = self.output self.WriteLn("TOOLSET := " + self.toolset) self.WriteLn("TARGET := " + self.target) # Actions must come first, since they can generate more OBJs for use below. if 'actions' in spec: self.WriteActions(spec['actions'], extra_sources, extra_outputs, extra_mac_bundle_resources, part_of_all) # Rules must be early like actions. if 'rules' in spec: self.WriteRules(spec['rules'], extra_sources, extra_outputs, extra_mac_bundle_resources, part_of_all) if 'copies' in spec: self.WriteCopies(spec['copies'], extra_outputs, part_of_all) # Bundle resources. if self.is_mac_bundle: all_mac_bundle_resources = ( spec.get('mac_bundle_resources', []) + extra_mac_bundle_resources) self.WriteMacBundleResources(all_mac_bundle_resources, mac_bundle_deps) self.WriteMacInfoPlist(mac_bundle_deps) # Sources. all_sources = spec.get('sources', []) + extra_sources if all_sources: if self.flavor == 'mac': # libtool on OS X generates warnings for duplicate basenames in the same # target. _ValidateSourcesForOSX(spec, all_sources) self.WriteSources( configs, deps, all_sources, extra_outputs, extra_link_deps, part_of_all, gyp.xcode_emulation.MacPrefixHeader( self.xcode_settings, lambda p: Sourceify(self.Absolutify(p)), self.Pchify)) sources = filter(Compilable, all_sources) if sources: self.WriteLn(SHARED_HEADER_SUFFIX_RULES_COMMENT1) extensions = set([os.path.splitext(s)[1] for s in sources]) for ext in extensions: if ext in self.suffix_rules_srcdir: self.WriteLn(self.suffix_rules_srcdir[ext]) self.WriteLn(SHARED_HEADER_SUFFIX_RULES_COMMENT2) for ext in extensions: if ext in self.suffix_rules_objdir1: self.WriteLn(self.suffix_rules_objdir1[ext]) for ext in extensions: if ext in self.suffix_rules_objdir2: self.WriteLn(self.suffix_rules_objdir2[ext]) self.WriteLn('# End of this set of suffix rules') # Add dependency from bundle to bundle binary. if self.is_mac_bundle: mac_bundle_deps.append(self.output_binary) self.WriteTarget(spec, configs, deps, extra_link_deps + link_deps, mac_bundle_deps, extra_outputs, part_of_all) # Update global list of target outputs, used in dependency tracking. target_outputs[qualified_target] = install_path # Update global list of link dependencies. if self.type in ('static_library', 'shared_library'): target_link_deps[qualified_target] = self.output_binary # Currently any versions have the same effect, but in future the behavior # could be different. if self.generator_flags.get('android_ndk_version', None): self.WriteAndroidNdkModuleRule(self.target, all_sources, link_deps) self.fp.close() def WriteSubMake(self, output_filename, makefile_path, targets, build_dir): """Write a "sub-project" Makefile. This is a small, wrapper Makefile that calls the top-level Makefile to build the targets from a single gyp file (i.e. a sub-project). Arguments: output_filename: sub-project Makefile name to write makefile_path: path to the top-level Makefile targets: list of "all" targets for this sub-project build_dir: build output directory, relative to the sub-project """ gyp.common.EnsureDirExists(output_filename) self.fp = open(output_filename, 'w') self.fp.write(header) # For consistency with other builders, put sub-project build output in the # sub-project dir (see test/subdirectory/gyptest-subdir-all.py). self.WriteLn('export builddir_name ?= %s' % os.path.join(os.path.dirname(output_filename), build_dir)) self.WriteLn('.PHONY: all') self.WriteLn('all:') if makefile_path: makefile_path = ' -C ' + makefile_path self.WriteLn('\t$(MAKE)%s %s' % (makefile_path, ' '.join(targets))) self.fp.close() def WriteActions(self, actions, extra_sources, extra_outputs, extra_mac_bundle_resources, part_of_all): """Write Makefile code for any 'actions' from the gyp input. extra_sources: a list that will be filled in with newly generated source files, if any extra_outputs: a list that will be filled in with any outputs of these actions (used to make other pieces dependent on these actions) part_of_all: flag indicating this target is part of 'all' """ env = self.GetSortedXcodeEnv() for action in actions: name = StringToMakefileVariable('%s_%s' % (self.qualified_target, action['action_name'])) self.WriteLn('### Rules for action "%s":' % action['action_name']) inputs = action['inputs'] outputs = action['outputs'] # Build up a list of outputs. # Collect the output dirs we'll need. dirs = set() for out in outputs: dir = os.path.split(out)[0] if dir: dirs.add(dir) if int(action.get('process_outputs_as_sources', False)): extra_sources += outputs if int(action.get('process_outputs_as_mac_bundle_resources', False)): extra_mac_bundle_resources += outputs # Write the actual command. action_commands = action['action'] if self.flavor == 'mac': action_commands = [gyp.xcode_emulation.ExpandEnvVars(command, env) for command in action_commands] command = gyp.common.EncodePOSIXShellList(action_commands) if 'message' in action: self.WriteLn('quiet_cmd_%s = ACTION %s $@' % (name, action['message'])) else: self.WriteLn('quiet_cmd_%s = ACTION %s $@' % (name, name)) if len(dirs) > 0: command = 'mkdir -p %s' % ' '.join(dirs) + '; ' + command cd_action = 'cd %s; ' % Sourceify(self.path or '.') # command and cd_action get written to a toplevel variable called # cmd_foo. Toplevel variables can't handle things that change per # makefile like $(TARGET), so hardcode the target. command = command.replace('$(TARGET)', self.target) cd_action = cd_action.replace('$(TARGET)', self.target) # Set LD_LIBRARY_PATH in case the action runs an executable from this # build which links to shared libs from this build. # actions run on the host, so they should in theory only use host # libraries, but until everything is made cross-compile safe, also use # target libraries. # TODO(piman): when everything is cross-compile safe, remove lib.target self.WriteLn('cmd_%s = LD_LIBRARY_PATH=$(builddir)/lib.host:' '$(builddir)/lib.target:$$LD_LIBRARY_PATH; ' 'export LD_LIBRARY_PATH; ' '%s%s' % (name, cd_action, command)) self.WriteLn() outputs = map(self.Absolutify, outputs) # The makefile rules are all relative to the top dir, but the gyp actions # are defined relative to their containing dir. This replaces the obj # variable for the action rule with an absolute version so that the output # goes in the right place. # Only write the 'obj' and 'builddir' rules for the "primary" output (:1); # it's superfluous for the "extra outputs", and this avoids accidentally # writing duplicate dummy rules for those outputs. # Same for environment. self.WriteLn("%s: obj := $(abs_obj)" % QuoteSpaces(outputs[0])) self.WriteLn("%s: builddir := $(abs_builddir)" % QuoteSpaces(outputs[0])) self.WriteSortedXcodeEnv(outputs[0], self.GetSortedXcodeEnv()) for input in inputs: assert ' ' not in input, ( "Spaces in action input filenames not supported (%s)" % input) for output in outputs: assert ' ' not in output, ( "Spaces in action output filenames not supported (%s)" % output) # See the comment in WriteCopies about expanding env vars. outputs = [gyp.xcode_emulation.ExpandEnvVars(o, env) for o in outputs] inputs = [gyp.xcode_emulation.ExpandEnvVars(i, env) for i in inputs] self.WriteDoCmd(outputs, map(Sourceify, map(self.Absolutify, inputs)), part_of_all=part_of_all, command=name) # Stuff the outputs in a variable so we can refer to them later. outputs_variable = 'action_%s_outputs' % name self.WriteLn('%s := %s' % (outputs_variable, ' '.join(outputs))) extra_outputs.append('$(%s)' % outputs_variable) self.WriteLn() self.WriteLn() def WriteRules(self, rules, extra_sources, extra_outputs, extra_mac_bundle_resources, part_of_all): """Write Makefile code for any 'rules' from the gyp input. extra_sources: a list that will be filled in with newly generated source files, if any extra_outputs: a list that will be filled in with any outputs of these rules (used to make other pieces dependent on these rules) part_of_all: flag indicating this target is part of 'all' """ env = self.GetSortedXcodeEnv() for rule in rules: name = StringToMakefileVariable('%s_%s' % (self.qualified_target, rule['rule_name'])) count = 0 self.WriteLn('### Generated for rule %s:' % name) all_outputs = [] for rule_source in rule.get('rule_sources', []): dirs = set() (rule_source_dirname, rule_source_basename) = os.path.split(rule_source) (rule_source_root, rule_source_ext) = \ os.path.splitext(rule_source_basename) outputs = [self.ExpandInputRoot(out, rule_source_root, rule_source_dirname) for out in rule['outputs']] for out in outputs: dir = os.path.dirname(out) if dir: dirs.add(dir) if int(rule.get('process_outputs_as_sources', False)): extra_sources += outputs if int(rule.get('process_outputs_as_mac_bundle_resources', False)): extra_mac_bundle_resources += outputs inputs = map(Sourceify, map(self.Absolutify, [rule_source] + rule.get('inputs', []))) actions = ['$(call do_cmd,%s_%d)' % (name, count)] if name == 'resources_grit': # HACK: This is ugly. Grit intentionally doesn't touch the # timestamp of its output file when the file doesn't change, # which is fine in hash-based dependency systems like scons # and forge, but not kosher in the make world. After some # discussion, hacking around it here seems like the least # amount of pain. actions += ['@touch --no-create $@'] # See the comment in WriteCopies about expanding env vars. outputs = [gyp.xcode_emulation.ExpandEnvVars(o, env) for o in outputs] inputs = [gyp.xcode_emulation.ExpandEnvVars(i, env) for i in inputs] outputs = map(self.Absolutify, outputs) all_outputs += outputs # Only write the 'obj' and 'builddir' rules for the "primary" output # (:1); it's superfluous for the "extra outputs", and this avoids # accidentally writing duplicate dummy rules for those outputs. self.WriteLn('%s: obj := $(abs_obj)' % outputs[0]) self.WriteLn('%s: builddir := $(abs_builddir)' % outputs[0]) self.WriteMakeRule(outputs, inputs, actions, command="%s_%d" % (name, count)) # Spaces in rule filenames are not supported, but rule variables have # spaces in them (e.g. RULE_INPUT_PATH expands to '$(abspath $<)'). # The spaces within the variables are valid, so remove the variables # before checking. variables_with_spaces = re.compile(r'\$$[^ ]* \$<$') for output in outputs: output = re.sub(variables_with_spaces, '', output) assert ' ' not in output, ( "Spaces in rule filenames not yet supported (%s)" % output) self.WriteLn('all_deps += %s' % ' '.join(outputs)) action = [self.ExpandInputRoot(ac, rule_source_root, rule_source_dirname) for ac in rule['action']] mkdirs = '' if len(dirs) > 0: mkdirs = 'mkdir -p %s; ' % ' '.join(dirs) cd_action = 'cd %s; ' % Sourceify(self.path or '.') # action, cd_action, and mkdirs get written to a toplevel variable # called cmd_foo. Toplevel variables can't handle things that change # per makefile like $(TARGET), so hardcode the target. if self.flavor == 'mac': action = [gyp.xcode_emulation.ExpandEnvVars(command, env) for command in action] action = gyp.common.EncodePOSIXShellList(action) action = action.replace('$(TARGET)', self.target) cd_action = cd_action.replace('$(TARGET)', self.target) mkdirs = mkdirs.replace('$(TARGET)', self.target) # Set LD_LIBRARY_PATH in case the rule runs an executable from this # build which links to shared libs from this build. # rules run on the host, so they should in theory only use host # libraries, but until everything is made cross-compile safe, also use # target libraries. # TODO(piman): when everything is cross-compile safe, remove lib.target self.WriteLn( "cmd_%(name)s_%(count)d = LD_LIBRARY_PATH=" "$(builddir)/lib.host:$(builddir)/lib.target:$$LD_LIBRARY_PATH; " "export LD_LIBRARY_PATH; " "%(cd_action)s%(mkdirs)s%(action)s" % { 'action': action, 'cd_action': cd_action, 'count': count, 'mkdirs': mkdirs, 'name': name, }) self.WriteLn( 'quiet_cmd_%(name)s_%(count)d = RULE %(name)s_%(count)d $@' % { 'count': count, 'name': name, }) self.WriteLn() count += 1 outputs_variable = 'rule_%s_outputs' % name self.WriteList(all_outputs, outputs_variable) extra_outputs.append('$(%s)' % outputs_variable) self.WriteLn('### Finished generating for rule: %s' % name) self.WriteLn() self.WriteLn('### Finished generating for all rules') self.WriteLn('') def WriteCopies(self, copies, extra_outputs, part_of_all): """Write Makefile code for any 'copies' from the gyp input. extra_outputs: a list that will be filled in with any outputs of this action (used to make other pieces dependent on this action) part_of_all: flag indicating this target is part of 'all' """ self.WriteLn('### Generated for copy rule.') variable = StringToMakefileVariable(self.qualified_target + '_copies') outputs = [] for copy in copies: for path in copy['files']: # Absolutify() may call normpath, and will strip trailing slashes. path = Sourceify(self.Absolutify(path)) filename = os.path.split(path)[1] output = Sourceify(self.Absolutify(os.path.join(copy['destination'], filename))) # If the output path has variables in it, which happens in practice for # 'copies', writing the environment as target-local doesn't work, # because the variables are already needed for the target name. # Copying the environment variables into global make variables doesn't # work either, because then the .d files will potentially contain spaces # after variable expansion, and .d file handling cannot handle spaces. # As a workaround, manually expand variables at gyp time. Since 'copies' # can't run scripts, there's no need to write the env then. # WriteDoCmd() will escape spaces for .d files. env = self.GetSortedXcodeEnv() output = gyp.xcode_emulation.ExpandEnvVars(output, env) path = gyp.xcode_emulation.ExpandEnvVars(path, env) self.WriteDoCmd([output], [path], 'copy', part_of_all) outputs.append(output) self.WriteLn('%s = %s' % (variable, ' '.join(map(QuoteSpaces, outputs)))) extra_outputs.append('$(%s)' % variable) self.WriteLn() def WriteMacBundleResources(self, resources, bundle_deps): """Writes Makefile code for 'mac_bundle_resources'.""" self.WriteLn('### Generated for mac_bundle_resources') for output, res in gyp.xcode_emulation.GetMacBundleResources( generator_default_variables['PRODUCT_DIR'], self.xcode_settings, map(Sourceify, map(self.Absolutify, resources))): _, ext = os.path.splitext(output) if ext != '.xcassets': # Make does not supports '.xcassets' emulation. self.WriteDoCmd([output], [res], 'mac_tool,,,copy-bundle-resource', part_of_all=True) bundle_deps.append(output) def WriteMacInfoPlist(self, bundle_deps): """Write Makefile code for bundle Info.plist files.""" info_plist, out, defines, extra_env = gyp.xcode_emulation.GetMacInfoPlist( generator_default_variables['PRODUCT_DIR'], self.xcode_settings, lambda p: Sourceify(self.Absolutify(p))) if not info_plist: return if defines: # Create an intermediate file to store preprocessed results. intermediate_plist = ('$(obj).$(TOOLSET)/$(TARGET)/' + os.path.basename(info_plist)) self.WriteList(defines, intermediate_plist + ': INFOPLIST_DEFINES', '-D', quoter=EscapeCppDefine) self.WriteMakeRule([intermediate_plist], [info_plist], ['$(call do_cmd,infoplist)', # "Convert" the plist so that any weird whitespace changes from the # preprocessor do not affect the XML parser in mac_tool. '@plutil -convert xml1 $@ $@']) info_plist = intermediate_plist # plists can contain envvars and substitute them into the file. self.WriteSortedXcodeEnv( out, self.GetSortedXcodeEnv(additional_settings=extra_env)) self.WriteDoCmd([out], [info_plist], 'mac_tool,,,copy-info-plist', part_of_all=True) bundle_deps.append(out) def WriteSources(self, configs, deps, sources, extra_outputs, extra_link_deps, part_of_all, precompiled_header): """Write Makefile code for any 'sources' from the gyp input. These are source files necessary to build the current target. configs, deps, sources: input from gyp. extra_outputs: a list of extra outputs this action should be dependent on; used to serialize action/rules before compilation extra_link_deps: a list that will be filled in with any outputs of compilation (to be used in link lines) part_of_all: flag indicating this target is part of 'all' """ # Write configuration-specific variables for CFLAGS, etc. for configname in sorted(configs.keys()): config = configs[configname] self.WriteList(config.get('defines'), 'DEFS_%s' % configname, prefix='-D', quoter=EscapeCppDefine) if self.flavor == 'mac': cflags = self.xcode_settings.GetCflags(configname) cflags_c = self.xcode_settings.GetCflagsC(configname) cflags_cc = self.xcode_settings.GetCflagsCC(configname) cflags_objc = self.xcode_settings.GetCflagsObjC(configname) cflags_objcc = self.xcode_settings.GetCflagsObjCC(configname) else: cflags = config.get('cflags') cflags_c = config.get('cflags_c') cflags_cc = config.get('cflags_cc') self.WriteLn("# Flags passed to all source files."); self.WriteList(cflags, 'CFLAGS_%s' % configname) self.WriteLn("# Flags passed to only C files."); self.WriteList(cflags_c, 'CFLAGS_C_%s' % configname) self.WriteLn("# Flags passed to only C++ files."); self.WriteList(cflags_cc, 'CFLAGS_CC_%s' % configname) if self.flavor == 'mac': self.WriteLn("# Flags passed to only ObjC files."); self.WriteList(cflags_objc, 'CFLAGS_OBJC_%s' % configname) self.WriteLn("# Flags passed to only ObjC++ files."); self.WriteList(cflags_objcc, 'CFLAGS_OBJCC_%s' % configname) includes = config.get('include_dirs') if includes: includes = map(Sourceify, map(self.Absolutify, includes)) self.WriteList(includes, 'INCS_%s' % configname, prefix='-I') compilable = filter(Compilable, sources) objs = map(self.Objectify, map(self.Absolutify, map(Target, compilable))) self.WriteList(objs, 'OBJS') for obj in objs: assert ' ' not in obj, ( "Spaces in object filenames not supported (%s)" % obj) self.WriteLn('# Add to the list of files we specially track ' 'dependencies for.') self.WriteLn('all_deps += $(OBJS)') self.WriteLn() # Make sure our dependencies are built first. if deps: self.WriteMakeRule(['$(OBJS)'], deps, comment = 'Make sure our dependencies are built ' 'before any of us.', order_only = True) # Make sure the actions and rules run first. # If they generate any extra headers etc., the per-.o file dep tracking # will catch the proper rebuilds, so order only is still ok here. if extra_outputs: self.WriteMakeRule(['$(OBJS)'], extra_outputs, comment = 'Make sure our actions/rules run ' 'before any of us.', order_only = True) pchdeps = precompiled_header.GetObjDependencies(compilable, objs ) if pchdeps: self.WriteLn('# Dependencies from obj files to their precompiled headers') for source, obj, gch in pchdeps: self.WriteLn('%s: %s' % (obj, gch)) self.WriteLn('# End precompiled header dependencies') if objs: extra_link_deps.append('$(OBJS)') self.WriteLn("""\ # CFLAGS et al overrides must be target-local. # See "Target-specific Variable Values" in the GNU Make manual.""") self.WriteLn("$(OBJS): TOOLSET := $(TOOLSET)") self.WriteLn("$(OBJS): GYP_CFLAGS := " "$(DEFS_$(BUILDTYPE)) " "$(INCS_$(BUILDTYPE)) " "%s " % precompiled_header.GetInclude('c') + "$(CFLAGS_$(BUILDTYPE)) " "$(CFLAGS_C_$(BUILDTYPE))") self.WriteLn("$(OBJS): GYP_CXXFLAGS := " "$(DEFS_$(BUILDTYPE)) " "$(INCS_$(BUILDTYPE)) " "%s " % precompiled_header.GetInclude('cc') + "$(CFLAGS_$(BUILDTYPE)) " "$(CFLAGS_CC_$(BUILDTYPE))") if self.flavor == 'mac': self.WriteLn("$(OBJS): GYP_OBJCFLAGS := " "$(DEFS_$(BUILDTYPE)) " "$(INCS_$(BUILDTYPE)) " "%s " % precompiled_header.GetInclude('m') + "$(CFLAGS_$(BUILDTYPE)) " "$(CFLAGS_C_$(BUILDTYPE)) " "$(CFLAGS_OBJC_$(BUILDTYPE))") self.WriteLn("$(OBJS): GYP_OBJCXXFLAGS := " "$(DEFS_$(BUILDTYPE)) " "$(INCS_$(BUILDTYPE)) " "%s " % precompiled_header.GetInclude('mm') + "$(CFLAGS_$(BUILDTYPE)) " "$(CFLAGS_CC_$(BUILDTYPE)) " "$(CFLAGS_OBJCC_$(BUILDTYPE))") self.WritePchTargets(precompiled_header.GetPchBuildCommands()) # If there are any object files in our input file list, link them into our # output. extra_link_deps += filter(Linkable, sources) self.WriteLn() def WritePchTargets(self, pch_commands): """Writes make rules to compile prefix headers.""" if not pch_commands: return for gch, lang_flag, lang, input in pch_commands: extra_flags = { 'c': '$(CFLAGS_C_$(BUILDTYPE))', 'cc': '$(CFLAGS_CC_$(BUILDTYPE))', 'm': '$(CFLAGS_C_$(BUILDTYPE)) $(CFLAGS_OBJC_$(BUILDTYPE))', 'mm': '$(CFLAGS_CC_$(BUILDTYPE)) $(CFLAGS_OBJCC_$(BUILDTYPE))', }[lang] var_name = { 'c': 'GYP_PCH_CFLAGS', 'cc': 'GYP_PCH_CXXFLAGS', 'm': 'GYP_PCH_OBJCFLAGS', 'mm': 'GYP_PCH_OBJCXXFLAGS', }[lang] self.WriteLn("%s: %s := %s " % (gch, var_name, lang_flag) + "$(DEFS_$(BUILDTYPE)) " "$(INCS_$(BUILDTYPE)) " "$(CFLAGS_$(BUILDTYPE)) " + extra_flags) self.WriteLn('%s: %s FORCE_DO_CMD' % (gch, input)) self.WriteLn('\t@$(call do_cmd,pch_%s,1)' % lang) self.WriteLn('') assert ' ' not in gch, ( "Spaces in gch filenames not supported (%s)" % gch) self.WriteLn('all_deps += %s' % gch) self.WriteLn('') def ComputeOutputBasename(self, spec): """Return the 'output basename' of a gyp spec. E.g., the loadable module 'foobar' in directory 'baz' will produce 'libfoobar.so' """ assert not self.is_mac_bundle if self.flavor == 'mac' and self.type in ( 'static_library', 'executable', 'shared_library', 'loadable_module'): return self.xcode_settings.GetExecutablePath() target = spec['target_name'] target_prefix = '' target_ext = '' if self.type == 'static_library': if target[:3] == 'lib': target = target[3:] target_prefix = 'lib' target_ext = '.a' elif self.type in ('loadable_module', 'shared_library'): if target[:3] == 'lib': target = target[3:] target_prefix = 'lib' if self.flavor == 'aix': target_ext = '.a' else: target_ext = '.so' elif self.type == 'none': target = '%s.stamp' % target elif self.type != 'executable': print ("ERROR: What output file should be generated?", "type", self.type, "target", target) target_prefix = spec.get('product_prefix', target_prefix) target = spec.get('product_name', target) product_ext = spec.get('product_extension') if product_ext: target_ext = '.' + product_ext return target_prefix + target + target_ext def _InstallImmediately(self): return self.toolset == 'target' and self.flavor == 'mac' and self.type in ( 'static_library', 'executable', 'shared_library', 'loadable_module') def ComputeOutput(self, spec): """Return the 'output' (full output path) of a gyp spec. E.g., the loadable module 'foobar' in directory 'baz' will produce '$(obj)/baz/libfoobar.so' """ assert not self.is_mac_bundle path = os.path.join('$(obj).' + self.toolset, self.path) if self.type == 'executable' or self._InstallImmediately(): path = '$(builddir)' path = spec.get('product_dir', path) return os.path.join(path, self.ComputeOutputBasename(spec)) def ComputeMacBundleOutput(self, spec): """Return the 'output' (full output path) to a bundle output directory.""" assert self.is_mac_bundle path = generator_default_variables['PRODUCT_DIR'] return os.path.join(path, self.xcode_settings.GetWrapperName()) def ComputeMacBundleBinaryOutput(self, spec): """Return the 'output' (full output path) to the binary in a bundle.""" path = generator_default_variables['PRODUCT_DIR'] return os.path.join(path, self.xcode_settings.GetExecutablePath()) def ComputeDeps(self, spec): """Compute the dependencies of a gyp spec. Returns a tuple (deps, link_deps), where each is a list of filenames that will need to be put in front of make for either building (deps) or linking (link_deps). """ deps = [] link_deps = [] if 'dependencies' in spec: deps.extend([target_outputs[dep] for dep in spec['dependencies'] if target_outputs[dep]]) for dep in spec['dependencies']: if dep in target_link_deps: link_deps.append(target_link_deps[dep]) deps.extend(link_deps) # TODO: It seems we need to transitively link in libraries (e.g. -lfoo)? # This hack makes it work: # link_deps.extend(spec.get('libraries', [])) return (gyp.common.uniquer(deps), gyp.common.uniquer(link_deps)) def WriteDependencyOnExtraOutputs(self, target, extra_outputs): self.WriteMakeRule([self.output_binary], extra_outputs, comment = 'Build our special outputs first.', order_only = True) def WriteTarget(self, spec, configs, deps, link_deps, bundle_deps, extra_outputs, part_of_all): """Write Makefile code to produce the final target of the gyp spec. spec, configs: input from gyp. deps, link_deps: dependency lists; see ComputeDeps() extra_outputs: any extra outputs that our target should depend on part_of_all: flag indicating this target is part of 'all' """ self.WriteLn('### Rules for final target.') if extra_outputs: self.WriteDependencyOnExtraOutputs(self.output_binary, extra_outputs) self.WriteMakeRule(extra_outputs, deps, comment=('Preserve order dependency of ' 'special output on deps.'), order_only = True) target_postbuilds = {} if self.type != 'none': for configname in sorted(configs.keys()): config = configs[configname] if self.flavor == 'mac': ldflags = self.xcode_settings.GetLdflags(configname, generator_default_variables['PRODUCT_DIR'], lambda p: Sourceify(self.Absolutify(p))) # TARGET_POSTBUILDS_$(BUILDTYPE) is added to postbuilds later on. gyp_to_build = gyp.common.InvertRelativePath(self.path) target_postbuild = self.xcode_settings.AddImplicitPostbuilds( configname, QuoteSpaces(os.path.normpath(os.path.join(gyp_to_build, self.output))), QuoteSpaces(os.path.normpath(os.path.join(gyp_to_build, self.output_binary)))) if target_postbuild: target_postbuilds[configname] = target_postbuild else: ldflags = config.get('ldflags', []) # Compute an rpath for this output if needed. if any(dep.endswith('.so') or '.so.' in dep for dep in deps): # We want to get the literal string "$ORIGIN" into the link command, # so we need lots of escaping. ldflags.append(r'-Wl,-rpath=\$$ORIGIN/lib.%s/' % self.toolset) ldflags.append(r'-Wl,-rpath-link=\$(builddir)/lib.%s/' % self.toolset) library_dirs = config.get('library_dirs', []) ldflags += [('-L%s' % library_dir) for library_dir in library_dirs] self.WriteList(ldflags, 'LDFLAGS_%s' % configname) if self.flavor == 'mac': self.WriteList(self.xcode_settings.GetLibtoolflags(configname), 'LIBTOOLFLAGS_%s' % configname) libraries = spec.get('libraries') if libraries: # Remove duplicate entries libraries = gyp.common.uniquer(libraries) if self.flavor == 'mac': libraries = self.xcode_settings.AdjustLibraries(libraries) self.WriteList(libraries, 'LIBS') self.WriteLn('%s: GYP_LDFLAGS := $(LDFLAGS_$(BUILDTYPE))' % QuoteSpaces(self.output_binary)) self.WriteLn('%s: LIBS := $(LIBS)' % QuoteSpaces(self.output_binary)) if self.flavor == 'mac': self.WriteLn('%s: GYP_LIBTOOLFLAGS := $(LIBTOOLFLAGS_$(BUILDTYPE))' % QuoteSpaces(self.output_binary)) # Postbuild actions. Like actions, but implicitly depend on the target's # output. postbuilds = [] if self.flavor == 'mac': if target_postbuilds: postbuilds.append('$(TARGET_POSTBUILDS_$(BUILDTYPE))') postbuilds.extend( gyp.xcode_emulation.GetSpecPostbuildCommands(spec)) if postbuilds: # Envvars may be referenced by TARGET_POSTBUILDS_$(BUILDTYPE), # so we must output its definition first, since we declare variables # using ":=". self.WriteSortedXcodeEnv(self.output, self.GetSortedXcodePostbuildEnv()) for configname in target_postbuilds: self.WriteLn('%s: TARGET_POSTBUILDS_%s := %s' % (QuoteSpaces(self.output), configname, gyp.common.EncodePOSIXShellList(target_postbuilds[configname]))) # Postbuilds expect to be run in the gyp file's directory, so insert an # implicit postbuild to cd to there. postbuilds.insert(0, gyp.common.EncodePOSIXShellList(['cd', self.path])) for i in xrange(len(postbuilds)): if not postbuilds[i].startswith('$'): postbuilds[i] = EscapeShellArgument(postbuilds[i]) self.WriteLn('%s: builddir := $(abs_builddir)' % QuoteSpaces(self.output)) self.WriteLn('%s: POSTBUILDS := %s' % ( QuoteSpaces(self.output), ' '.join(postbuilds))) # A bundle directory depends on its dependencies such as bundle resources # and bundle binary. When all dependencies have been built, the bundle # needs to be packaged. if self.is_mac_bundle: # If the framework doesn't contain a binary, then nothing depends # on the actions -- make the framework depend on them directly too. self.WriteDependencyOnExtraOutputs(self.output, extra_outputs) # Bundle dependencies. Note that the code below adds actions to this # target, so if you move these two lines, move the lines below as well. self.WriteList(map(QuoteSpaces, bundle_deps), 'BUNDLE_DEPS') self.WriteLn('%s: $(BUNDLE_DEPS)' % QuoteSpaces(self.output)) # After the framework is built, package it. Needs to happen before # postbuilds, since postbuilds depend on this. if self.type in ('shared_library', 'loadable_module'): self.WriteLn('\t@$(call do_cmd,mac_package_framework,,,%s)' % self.xcode_settings.GetFrameworkVersion()) # Bundle postbuilds can depend on the whole bundle, so run them after # the bundle is packaged, not already after the bundle binary is done. if postbuilds: self.WriteLn('\t@$(call do_postbuilds)') postbuilds = [] # Don't write postbuilds for target's output. # Needed by test/mac/gyptest-rebuild.py. self.WriteLn('\t@true # No-op, used by tests') # Since this target depends on binary and resources which are in # nested subfolders, the framework directory will be older than # its dependencies usually. To prevent this rule from executing # on every build (expensive, especially with postbuilds), expliclity # update the time on the framework directory. self.WriteLn('\t@touch -c %s' % QuoteSpaces(self.output)) if postbuilds: assert not self.is_mac_bundle, ('Postbuilds for bundles should be done ' 'on the bundle, not the binary (target \'%s\')' % self.target) assert 'product_dir' not in spec, ('Postbuilds do not work with ' 'custom product_dir') if self.type == 'executable': self.WriteLn('%s: LD_INPUTS := %s' % ( QuoteSpaces(self.output_binary), ' '.join(map(QuoteSpaces, link_deps)))) if self.toolset == 'host' and self.flavor == 'android': self.WriteDoCmd([self.output_binary], link_deps, 'link_host', part_of_all, postbuilds=postbuilds) else: self.WriteDoCmd([self.output_binary], link_deps, 'link', part_of_all, postbuilds=postbuilds) elif self.type == 'static_library': for link_dep in link_deps: assert ' ' not in link_dep, ( "Spaces in alink input filenames not supported (%s)" % link_dep) if (self.flavor not in ('mac', 'openbsd', 'netbsd', 'win') and not self.is_standalone_static_library): self.WriteDoCmd([self.output_binary], link_deps, 'alink_thin', part_of_all, postbuilds=postbuilds) else: self.WriteDoCmd([self.output_binary], link_deps, 'alink', part_of_all, postbuilds=postbuilds) elif self.type == 'shared_library': self.WriteLn('%s: LD_INPUTS := %s' % ( QuoteSpaces(self.output_binary), ' '.join(map(QuoteSpaces, link_deps)))) self.WriteDoCmd([self.output_binary], link_deps, 'solink', part_of_all, postbuilds=postbuilds) elif self.type == 'loadable_module': for link_dep in link_deps: assert ' ' not in link_dep, ( "Spaces in module input filenames not supported (%s)" % link_dep) if self.toolset == 'host' and self.flavor == 'android': self.WriteDoCmd([self.output_binary], link_deps, 'solink_module_host', part_of_all, postbuilds=postbuilds) else: self.WriteDoCmd( [self.output_binary], link_deps, 'solink_module', part_of_all, postbuilds=postbuilds) elif self.type == 'none': # Write a stamp line. self.WriteDoCmd([self.output_binary], deps, 'touch', part_of_all, postbuilds=postbuilds) else: print "WARNING: no output for", self.type, target # Add an alias for each target (if there are any outputs). # Installable target aliases are created below. if ((self.output and self.output != self.target) and (self.type not in self._INSTALLABLE_TARGETS)): self.WriteMakeRule([self.target], [self.output], comment='Add target alias', phony = True) if part_of_all: self.WriteMakeRule(['all'], [self.target], comment = 'Add target alias to "all" target.', phony = True) # Add special-case rules for our installable targets. # 1) They need to install to the build dir or "product" dir. # 2) They get shortcuts for building (e.g. "make chrome"). # 3) They are part of "make all". if (self.type in self._INSTALLABLE_TARGETS or self.is_standalone_static_library): if self.type == 'shared_library': file_desc = 'shared library' elif self.type == 'static_library': file_desc = 'static library' else: file_desc = 'executable' install_path = self._InstallableTargetInstallPath() installable_deps = [self.output] if (self.flavor == 'mac' and not 'product_dir' in spec and self.toolset == 'target'): # On mac, products are created in install_path immediately. assert install_path == self.output, '%s != %s' % ( install_path, self.output) # Point the target alias to the final binary output. self.WriteMakeRule([self.target], [install_path], comment='Add target alias', phony = True) if install_path != self.output: assert not self.is_mac_bundle # See comment a few lines above. self.WriteDoCmd([install_path], [self.output], 'copy', comment = 'Copy this to the %s output path.' % file_desc, part_of_all=part_of_all) installable_deps.append(install_path) if self.output != self.alias and self.alias != self.target: self.WriteMakeRule([self.alias], installable_deps, comment = 'Short alias for building this %s.' % file_desc, phony = True) if part_of_all: self.WriteMakeRule(['all'], [install_path], comment = 'Add %s to "all" target.' % file_desc, phony = True) def WriteList(self, value_list, variable=None, prefix='', quoter=QuoteIfNecessary): """Write a variable definition that is a list of values. E.g. WriteList(['a','b'], 'foo', prefix='blah') writes out foo = blaha blahb but in a pretty-printed style. """ values = '' if value_list: value_list = [quoter(prefix + l) for l in value_list] values = ' \\\n\t' + ' \\\n\t'.join(value_list) self.fp.write('%s :=%s\n\n' % (variable, values)) def WriteDoCmd(self, outputs, inputs, command, part_of_all, comment=None, postbuilds=False): """Write a Makefile rule that uses do_cmd. This makes the outputs dependent on the command line that was run, as well as support the V= make command line flag. """ suffix = '' if postbuilds: assert ',' not in command suffix = ',,1' # Tell do_cmd to honor $POSTBUILDS self.WriteMakeRule(outputs, inputs, actions = ['$(call do_cmd,%s%s)' % (command, suffix)], comment = comment, command = command, force = True) # Add our outputs to the list of targets we read depfiles from. # all_deps is only used for deps file reading, and for deps files we replace # spaces with ? because escaping doesn't work with make's $(sort) and # other functions. outputs = [QuoteSpaces(o, SPACE_REPLACEMENT) for o in outputs] self.WriteLn('all_deps += %s' % ' '.join(outputs)) def WriteMakeRule(self, outputs, inputs, actions=None, comment=None, order_only=False, force=False, phony=False, command=None): """Write a Makefile rule, with some extra tricks. outputs: a list of outputs for the rule (note: this is not directly supported by make; see comments below) inputs: a list of inputs for the rule actions: a list of shell commands to run for the rule comment: a comment to put in the Makefile above the rule (also useful for making this Python script's code self-documenting) order_only: if true, makes the dependency order-only force: if true, include FORCE_DO_CMD as an order-only dep phony: if true, the rule does not actually generate the named output, the output is just a name to run the rule command: (optional) command name to generate unambiguous labels """ outputs = map(QuoteSpaces, outputs) inputs = map(QuoteSpaces, inputs) if comment: self.WriteLn('# ' + comment) if phony: self.WriteLn('.PHONY: ' + ' '.join(outputs)) if actions: self.WriteLn("%s: TOOLSET := $(TOOLSET)" % outputs[0]) force_append = ' FORCE_DO_CMD' if force else '' if order_only: # Order only rule: Just write a simple rule. # TODO(evanm): just make order_only a list of deps instead of this hack. self.WriteLn('%s: | %s%s' % (' '.join(outputs), ' '.join(inputs), force_append)) elif len(outputs) == 1: # Regular rule, one output: Just write a simple rule. self.WriteLn('%s: %s%s' % (outputs[0], ' '.join(inputs), force_append)) else: # Regular rule, more than one output: Multiple outputs are tricky in # make. We will write three rules: # - All outputs depend on an intermediate file. # - Make .INTERMEDIATE depend on the intermediate. # - The intermediate file depends on the inputs and executes the # actual command. # - The intermediate recipe will 'touch' the intermediate file. # - The multi-output rule will have an do-nothing recipe. # Hash the target name to avoid generating overlong filenames. cmddigest = hashlib.sha1(command if command else self.target).hexdigest() intermediate = "%s.intermediate" % (cmddigest) self.WriteLn('%s: %s' % (' '.join(outputs), intermediate)) self.WriteLn('\t%s' % '@:'); self.WriteLn('%s: %s' % ('.INTERMEDIATE', intermediate)) self.WriteLn('%s: %s%s' % (intermediate, ' '.join(inputs), force_append)) actions.insert(0, '$(call do_cmd,touch)') if actions: for action in actions: self.WriteLn('\t%s' % action) self.WriteLn() def WriteAndroidNdkModuleRule(self, module_name, all_sources, link_deps): """Write a set of LOCAL_XXX definitions for Android NDK. These variable definitions will be used by Android NDK but do nothing for non-Android applications. Arguments: module_name: Android NDK module name, which must be unique among all module names. all_sources: A list of source files (will be filtered by Compilable). link_deps: A list of link dependencies, which must be sorted in the order from dependencies to dependents. """ if self.type not in ('executable', 'shared_library', 'static_library'): return self.WriteLn('# Variable definitions for Android applications') self.WriteLn('include $(CLEAR_VARS)') self.WriteLn('LOCAL_MODULE := ' + module_name) self.WriteLn('LOCAL_CFLAGS := $(CFLAGS_$(BUILDTYPE)) ' '$(DEFS_$(BUILDTYPE)) ' # LOCAL_CFLAGS is applied to both of C and C++. There is # no way to specify $(CFLAGS_C_$(BUILDTYPE)) only for C # sources. '$(CFLAGS_C_$(BUILDTYPE)) ' # $(INCS_$(BUILDTYPE)) includes the prefix '-I' while # LOCAL_C_INCLUDES does not expect it. So put it in # LOCAL_CFLAGS. '$(INCS_$(BUILDTYPE))') # LOCAL_CXXFLAGS is obsolete and LOCAL_CPPFLAGS is preferred. self.WriteLn('LOCAL_CPPFLAGS := $(CFLAGS_CC_$(BUILDTYPE))') self.WriteLn('LOCAL_C_INCLUDES :=') self.WriteLn('LOCAL_LDLIBS := $(LDFLAGS_$(BUILDTYPE)) $(LIBS)') # Detect the C++ extension. cpp_ext = {'.cc': 0, '.cpp': 0, '.cxx': 0} default_cpp_ext = '.cpp' for filename in all_sources: ext = os.path.splitext(filename)[1] if ext in cpp_ext: cpp_ext[ext] += 1 if cpp_ext[ext] > cpp_ext[default_cpp_ext]: default_cpp_ext = ext self.WriteLn('LOCAL_CPP_EXTENSION := ' + default_cpp_ext) self.WriteList(map(self.Absolutify, filter(Compilable, all_sources)), 'LOCAL_SRC_FILES') # Filter out those which do not match prefix and suffix and produce # the resulting list without prefix and suffix. def DepsToModules(deps, prefix, suffix): modules = [] for filepath in deps: filename = os.path.basename(filepath) if filename.startswith(prefix) and filename.endswith(suffix): modules.append(filename[len(prefix):-len(suffix)]) return modules # Retrieve the default value of 'SHARED_LIB_SUFFIX' params = {'flavor': 'linux'} default_variables = {} CalculateVariables(default_variables, params) self.WriteList( DepsToModules(link_deps, generator_default_variables['SHARED_LIB_PREFIX'], default_variables['SHARED_LIB_SUFFIX']), 'LOCAL_SHARED_LIBRARIES') self.WriteList( DepsToModules(link_deps, generator_default_variables['STATIC_LIB_PREFIX'], generator_default_variables['STATIC_LIB_SUFFIX']), 'LOCAL_STATIC_LIBRARIES') if self.type == 'executable': self.WriteLn('include $(BUILD_EXECUTABLE)') elif self.type == 'shared_library': self.WriteLn('include $(BUILD_SHARED_LIBRARY)') elif self.type == 'static_library': self.WriteLn('include $(BUILD_STATIC_LIBRARY)') self.WriteLn() def WriteLn(self, text=''): self.fp.write(text + '\n') def GetSortedXcodeEnv(self, additional_settings=None): return gyp.xcode_emulation.GetSortedXcodeEnv( self.xcode_settings, "$(abs_builddir)", os.path.join("$(abs_srcdir)", self.path), "$(BUILDTYPE)", additional_settings) def GetSortedXcodePostbuildEnv(self): # CHROMIUM_STRIP_SAVE_FILE is a chromium-specific hack. # TODO(thakis): It would be nice to have some general mechanism instead. strip_save_file = self.xcode_settings.GetPerTargetSetting( 'CHROMIUM_STRIP_SAVE_FILE', '') # Even if strip_save_file is empty, explicitly write it. Else a postbuild # might pick up an export from an earlier target. return self.GetSortedXcodeEnv( additional_settings={'CHROMIUM_STRIP_SAVE_FILE': strip_save_file}) def WriteSortedXcodeEnv(self, target, env): for k, v in env: # For # foo := a\ b # the escaped space does the right thing. For # export foo := a\ b # it does not -- the backslash is written to the env as literal character. # So don't escape spaces in |env[k]|. self.WriteLn('%s: export %s := %s' % (QuoteSpaces(target), k, v)) def Objectify(self, path): """Convert a path to its output directory form.""" if '$(' in path: path = path.replace('$(obj)/', '$(obj).%s/$(TARGET)/' % self.toolset) if not '$(obj)' in path: path = '$(obj).%s/$(TARGET)/%s' % (self.toolset, path) return path def Pchify(self, path, lang): """Convert a prefix header path to its output directory form.""" path = self.Absolutify(path) if '$(' in path: path = path.replace('$(obj)/', '$(obj).%s/$(TARGET)/pch-%s' % (self.toolset, lang)) return path return '$(obj).%s/$(TARGET)/pch-%s/%s' % (self.toolset, lang, path) def Absolutify(self, path): """Convert a subdirectory-relative path into a base-relative path. Skips over paths that contain variables.""" if '$(' in path: # Don't call normpath in this case, as it might collapse the # path too aggressively if it features '..'. However it's still # important to strip trailing slashes. return path.rstrip('/') return os.path.normpath(os.path.join(self.path, path)) def ExpandInputRoot(self, template, expansion, dirname): if '%(INPUT_ROOT)s' not in template and '%(INPUT_DIRNAME)s' not in template: return template path = template % { 'INPUT_ROOT': expansion, 'INPUT_DIRNAME': dirname, } return path def _InstallableTargetInstallPath(self): """Returns the location of the final output for an installable target.""" # Xcode puts shared_library results into PRODUCT_DIR, and some gyp files # rely on this. Emulate this behavior for mac. if (self.type == 'shared_library' and (self.flavor != 'mac' or self.toolset != 'target')): # Install all shared libs into a common directory (per toolset) for # convenient access with LD_LIBRARY_PATH. return '$(builddir)/lib.%s/%s' % (self.toolset, self.alias) return '$(builddir)/' + self.alias def WriteAutoRegenerationRule(params, root_makefile, makefile_name, build_files): """Write the target to regenerate the Makefile.""" options = params['options'] build_files_args = [gyp.common.RelativePath(filename, options.toplevel_dir) for filename in params['build_files_arg']] gyp_binary = gyp.common.FixIfRelativePath(params['gyp_binary'], options.toplevel_dir) if not gyp_binary.startswith(os.sep): gyp_binary = os.path.join('.', gyp_binary) root_makefile.write( "quiet_cmd_regen_makefile = ACTION Regenerating $@\n" "cmd_regen_makefile = cd $(srcdir); %(cmd)s\n" "%(makefile_name)s: %(deps)s\n" "\t$(call do_cmd,regen_makefile)\n\n" % { 'makefile_name': makefile_name, 'deps': ' '.join(map(Sourceify, build_files)), 'cmd': gyp.common.EncodePOSIXShellList( [gyp_binary, '-fmake'] + gyp.RegenerateFlags(options) + build_files_args)}) def PerformBuild(data, configurations, params): options = params['options'] for config in configurations: arguments = ['make'] if options.toplevel_dir and options.toplevel_dir != '.': arguments += '-C', options.toplevel_dir arguments.append('BUILDTYPE=' + config) print 'Building [%s]: %s' % (config, arguments) subprocess.check_call(arguments) def GenerateOutput(target_list, target_dicts, data, params): options = params['options'] flavor = gyp.common.GetFlavor(params) generator_flags = params.get('generator_flags', {}) builddir_name = generator_flags.get('output_dir', 'out') android_ndk_version = generator_flags.get('android_ndk_version', None) default_target = generator_flags.get('default_target', 'all') def CalculateMakefilePath(build_file, base_name): """Determine where to write a Makefile for a given gyp file.""" # Paths in gyp files are relative to the .gyp file, but we want # paths relative to the source root for the master makefile. Grab # the path of the .gyp file as the base to relativize against. # E.g. "foo/bar" when we're constructing targets for "foo/bar/baz.gyp". base_path = gyp.common.RelativePath(os.path.dirname(build_file), options.depth) # We write the file in the base_path directory. output_file = os.path.join(options.depth, base_path, base_name) if options.generator_output: output_file = os.path.join( options.depth, options.generator_output, base_path, base_name) base_path = gyp.common.RelativePath(os.path.dirname(build_file), options.toplevel_dir) return base_path, output_file # TODO: search for the first non-'Default' target. This can go # away when we add verification that all targets have the # necessary configurations. default_configuration = None toolsets = set([target_dicts[target]['toolset'] for target in target_list]) for target in target_list: spec = target_dicts[target] if spec['default_configuration'] != 'Default': default_configuration = spec['default_configuration'] break if not default_configuration: default_configuration = 'Default' srcdir = '.' makefile_name = 'Makefile' + options.suffix makefile_path = os.path.join(options.toplevel_dir, makefile_name) if options.generator_output: global srcdir_prefix makefile_path = os.path.join( options.toplevel_dir, options.generator_output, makefile_name) srcdir = gyp.common.RelativePath(srcdir, options.generator_output) srcdir_prefix = '$(srcdir)/' flock_command= 'flock' copy_archive_arguments = '-af' header_params = { 'default_target': default_target, 'builddir': builddir_name, 'default_configuration': default_configuration, 'flock': flock_command, 'flock_index': 1, 'link_commands': LINK_COMMANDS_LINUX, 'extra_commands': '', 'srcdir': srcdir, 'copy_archive_args': copy_archive_arguments, } if flavor == 'mac': flock_command = './gyp-mac-tool flock' header_params.update({ 'flock': flock_command, 'flock_index': 2, 'link_commands': LINK_COMMANDS_MAC, 'extra_commands': SHARED_HEADER_MAC_COMMANDS, }) elif flavor == 'android': header_params.update({ 'link_commands': LINK_COMMANDS_ANDROID, }) elif flavor == 'solaris': header_params.update({ 'flock': './gyp-flock-tool flock', 'flock_index': 2, }) elif flavor == 'freebsd': # Note: OpenBSD has sysutils/flock. lockf seems to be FreeBSD specific. header_params.update({ 'flock': 'lockf', }) elif flavor == 'openbsd': copy_archive_arguments = '-pPRf' header_params.update({ 'copy_archive_args': copy_archive_arguments, }) elif flavor == 'aix': copy_archive_arguments = '-pPRf' header_params.update({ 'copy_archive_args': copy_archive_arguments, 'link_commands': LINK_COMMANDS_AIX, 'flock': './gyp-flock-tool flock', 'flock_index': 2, }) header_params.update({ 'CC.target': GetEnvironFallback(('CC_target', 'CC'), '$(CC)'), 'AR.target': GetEnvironFallback(('AR_target', 'AR'), '$(AR)'), 'CXX.target': GetEnvironFallback(('CXX_target', 'CXX'), '$(CXX)'), 'LINK.target': GetEnvironFallback(('LINK_target', 'LINK'), '$(LINK)'), 'CC.host': GetEnvironFallback(('CC_host', 'CC'), 'gcc'), 'AR.host': GetEnvironFallback(('AR_host', 'AR'), 'ar'), 'CXX.host': GetEnvironFallback(('CXX_host', 'CXX'), 'g++'), 'LINK.host': GetEnvironFallback(('LINK_host', 'LINK'), '$(CXX.host)'), }) build_file, _, _ = gyp.common.ParseQualifiedTarget(target_list[0]) make_global_settings_array = data[build_file].get('make_global_settings', []) wrappers = {} for key, value in make_global_settings_array: if key.endswith('_wrapper'): wrappers[key[:-len('_wrapper')]] = '$(abspath %s)' % value make_global_settings = '' for key, value in make_global_settings_array: if re.match('.*_wrapper', key): continue if value[0] != '$': value = '$(abspath %s)' % value wrapper = wrappers.get(key) if wrapper: value = '%s %s' % (wrapper, value) del wrappers[key] if key in ('CC', 'CC.host', 'CXX', 'CXX.host'): make_global_settings += ( 'ifneq (,$(filter $(origin %s), undefined default))\n' % key) # Let gyp-time envvars win over global settings. env_key = key.replace('.', '_') # CC.host -> CC_host if env_key in os.environ: value = os.environ[env_key] make_global_settings += ' %s = %s\n' % (key, value) make_global_settings += 'endif\n' else: make_global_settings += '%s ?= %s\n' % (key, value) # TODO(ukai): define cmd when only wrapper is specified in # make_global_settings. header_params['make_global_settings'] = make_global_settings gyp.common.EnsureDirExists(makefile_path) root_makefile = open(makefile_path, 'w') root_makefile.write(SHARED_HEADER % header_params) # Currently any versions have the same effect, but in future the behavior # could be different. if android_ndk_version: root_makefile.write( '# Define LOCAL_PATH for build of Android applications.\n' 'LOCAL_PATH := $(call my-dir)\n' '\n') for toolset in toolsets: root_makefile.write('TOOLSET := %s\n' % toolset) WriteRootHeaderSuffixRules(root_makefile) # Put build-time support tools next to the root Makefile. dest_path = os.path.dirname(makefile_path) gyp.common.CopyTool(flavor, dest_path) # Find the list of targets that derive from the gyp file(s) being built. needed_targets = set() for build_file in params['build_files']: for target in gyp.common.AllTargets(target_list, target_dicts, build_file): needed_targets.add(target) build_files = set() include_list = set() for qualified_target in target_list: build_file, target, toolset = gyp.common.ParseQualifiedTarget( qualified_target) this_make_global_settings = data[build_file].get('make_global_settings', []) assert make_global_settings_array == this_make_global_settings, ( "make_global_settings needs to be the same for all targets. %s vs. %s" % (this_make_global_settings, make_global_settings)) build_files.add(gyp.common.RelativePath(build_file, options.toplevel_dir)) included_files = data[build_file]['included_files'] for included_file in included_files: # The included_files entries are relative to the dir of the build file # that included them, so we have to undo that and then make them relative # to the root dir. relative_include_file = gyp.common.RelativePath( gyp.common.UnrelativePath(included_file, build_file), options.toplevel_dir) abs_include_file = os.path.abspath(relative_include_file) # If the include file is from the ~/.gyp dir, we should use absolute path # so that relocating the src dir doesn't break the path. if (params['home_dot_gyp'] and abs_include_file.startswith(params['home_dot_gyp'])): build_files.add(abs_include_file) else: build_files.add(relative_include_file) base_path, output_file = CalculateMakefilePath(build_file, target + '.' + toolset + options.suffix + '.mk') spec = target_dicts[qualified_target] configs = spec['configurations'] if flavor == 'mac': gyp.xcode_emulation.MergeGlobalXcodeSettingsToSpec(data[build_file], spec) writer = MakefileWriter(generator_flags, flavor) writer.Write(qualified_target, base_path, output_file, spec, configs, part_of_all=qualified_target in needed_targets) # Our root_makefile lives at the source root. Compute the relative path # from there to the output_file for including. mkfile_rel_path = gyp.common.RelativePath(output_file, os.path.dirname(makefile_path)) include_list.add(mkfile_rel_path) # Write out per-gyp (sub-project) Makefiles. depth_rel_path = gyp.common.RelativePath(options.depth, os.getcwd()) for build_file in build_files: # The paths in build_files were relativized above, so undo that before # testing against the non-relativized items in target_list and before # calculating the Makefile path. build_file = os.path.join(depth_rel_path, build_file) gyp_targets = [target_dicts[target]['target_name'] for target in target_list if target.startswith(build_file) and target in needed_targets] # Only generate Makefiles for gyp files with targets. if not gyp_targets: continue base_path, output_file = CalculateMakefilePath(build_file, os.path.splitext(os.path.basename(build_file))[0] + '.Makefile') makefile_rel_path = gyp.common.RelativePath(os.path.dirname(makefile_path), os.path.dirname(output_file)) writer.WriteSubMake(output_file, makefile_rel_path, gyp_targets, builddir_name) # Write out the sorted list of includes. root_makefile.write('\n') for include_file in sorted(include_list): # We wrap each .mk include in an if statement so users can tell make to # not load a file by setting NO_LOAD. The below make code says, only # load the .mk file if the .mk filename doesn't start with a token in # NO_LOAD. root_makefile.write( "ifeq ($(strip $(foreach prefix,$(NO_LOAD),\\\n" " $(findstring $(join ^,$(prefix)),\\\n" " $(join ^," + include_file + ")))),)\n") root_makefile.write(" include " + include_file + "\n") root_makefile.write("endif\n") root_makefile.write('\n') if (not generator_flags.get('standalone') and generator_flags.get('auto_regeneration', True)): WriteAutoRegenerationRule(params, root_makefile, makefile_name, build_files) root_makefile.write(SHARED_FOOTER) root_makefile.close()

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0.64868

# .mk files. # # TODOs: # # Global settings and utility functions are currently stuffed in the # toplevel Makefile. It may make sense to generate some .mk files on # the side to keep the the files readable. import os import re import sys import subprocess import gyp import gyp.common import gyp.xcode_emulation from gyp.common import GetEnvironFallback from gyp.common import GypError import hashlib generator_default_variables = { 'EXECUTABLE_PREFIX': '', 'EXECUTABLE_SUFFIX': '', 'STATIC_LIB_PREFIX': 'lib', 'SHARED_LIB_PREFIX': 'lib', 'STATIC_LIB_SUFFIX': '.a', 'INTERMEDIATE_DIR': '$(obj).$(TOOLSET)/$(TARGET)/geni', 'SHARED_INTERMEDIATE_DIR': '$(obj)/gen', 'PRODUCT_DIR': '$(builddir)', 'RULE_INPUT_ROOT': '%(INPUT_ROOT)s', # This gets expanded by Python. 'RULE_INPUT_DIRNAME': '%(INPUT_DIRNAME)s', # This gets expanded by Python. 'RULE_INPUT_PATH': '$(abspath $<)', 'RULE_INPUT_EXT': '$(suffix $<)', 'RULE_INPUT_NAME': '$(notdir $<)', 'CONFIGURATION_NAME': '$(BUILDTYPE)', } # Make supports multiple toolsets generator_supports_multiple_toolsets = True # Request sorted dependencies in the order from dependents to dependencies. generator_wants_sorted_dependencies = False # Placates pylint. generator_additional_non_configuration_keys = [] generator_additional_path_sections = [] generator_extra_sources_for_rules = [] generator_filelist_paths = None def CalculateVariables(default_variables, params): """Calculate additional variables for use in the build (called by gyp).""" flavor = gyp.common.GetFlavor(params) if flavor == 'mac': default_variables.setdefault('OS', 'mac') default_variables.setdefault('SHARED_LIB_SUFFIX', '.dylib') default_variables.setdefault('SHARED_LIB_DIR', generator_default_variables['PRODUCT_DIR']) default_variables.setdefault('LIB_DIR', generator_default_variables['PRODUCT_DIR']) # Copy additional generator configuration data from Xcode, which is shared # by the Mac Make generator. import gyp.generator.xcode as xcode_generator global generator_additional_non_configuration_keys generator_additional_non_configuration_keys = getattr(xcode_generator, 'generator_additional_non_configuration_keys', []) global generator_additional_path_sections generator_additional_path_sections = getattr(xcode_generator, 'generator_additional_path_sections', []) global generator_extra_sources_for_rules generator_extra_sources_for_rules = getattr(xcode_generator, 'generator_extra_sources_for_rules', []) COMPILABLE_EXTENSIONS.update({'.m': 'objc', '.mm' : 'objcxx'}) else: operating_system = flavor if flavor == 'android': operating_system = 'linux' # Keep this legacy behavior for now. default_variables.setdefault('OS', operating_system) if flavor == 'aix': default_variables.setdefault('SHARED_LIB_SUFFIX', '.a') else: default_variables.setdefault('SHARED_LIB_SUFFIX', '.so') default_variables.setdefault('SHARED_LIB_DIR','$(builddir)/lib.$(TOOLSET)') default_variables.setdefault('LIB_DIR', '$(obj).$(TOOLSET)') def CalculateGeneratorInputInfo(params): """Calculate the generator specific info that gets fed to input (called by gyp).""" generator_flags = params.get('generator_flags', {}) android_ndk_version = generator_flags.get('android_ndk_version', None) # Android NDK requires a strict link order. if android_ndk_version: global generator_wants_sorted_dependencies generator_wants_sorted_dependencies = True output_dir = params['options'].generator_output or \ params['options'].toplevel_dir builddir_name = generator_flags.get('output_dir', 'out') qualified_out_dir = os.path.normpath(os.path.join( output_dir, builddir_name, 'gypfiles')) global generator_filelist_paths generator_filelist_paths = { 'toplevel': params['options'].toplevel_dir, 'qualified_out_dir': qualified_out_dir, } # The .d checking code below uses these functions: # wildcard, sort, foreach, shell, wordlist # wildcard can handle spaces, the rest can't. SPACE_REPLACEMENT = '?' LINK_COMMANDS_LINUX = """\ quiet_cmd_alink = AR($(TOOLSET)) $@ cmd_alink = rm -f $@ && $(AR.$(TOOLSET)) crs $@ $(filter %.o,$^) quiet_cmd_alink_thin = AR($(TOOLSET)) $@ cmd_alink_thin = rm -f $@ && $(AR.$(TOOLSET)) crsT $@ $(filter %.o,$^) # Due to circular dependencies between libraries :(, we wrap the # special "figure out circular dependencies" flags around the entire # input list during linking. quiet_cmd_link = LINK($(TOOLSET)) $@ cmd_link = $(LINK.$(TOOLSET)) $(GYP_LDFLAGS) $(LDFLAGS.$(TOOLSET)) -o $@ -Wl,--start-group $(LD_INPUTS) $(LIBS) -Wl,--end-group # We support two kinds of shared objects (.so): # 1) shared_library, which is just bundling together many dependent libraries # into a link line. # 2) loadable_module, which is generating a module intended for dlopen(). # # They differ only slightly: # In the former case, we want to package all dependent code into the .so. # In the latter case, we want to package just the API exposed by the # outermost module. # This means shared_library uses --whole-archive, while loadable_module doesn't. # (Note that --whole-archive is incompatible with the --start-group used in # normal linking.) # Other shared-object link notes: # - Set SONAME to the library filename so our binaries don't reference # the local, absolute paths used on the link command-line. quiet_cmd_solink = SOLINK($(TOOLSET)) $@ cmd_solink = $(LINK.$(TOOLSET)) -shared $(GYP_LDFLAGS) $(LDFLAGS.$(TOOLSET)) -Wl,-soname=$(@F) -o $@ -Wl,--whole-archive $(LD_INPUTS) -Wl,--no-whole-archive $(LIBS) quiet_cmd_solink_module = SOLINK_MODULE($(TOOLSET)) $@ cmd_solink_module = $(LINK.$(TOOLSET)) -shared $(GYP_LDFLAGS) $(LDFLAGS.$(TOOLSET)) -Wl,-soname=$(@F) -o $@ -Wl,--start-group $(filter-out FORCE_DO_CMD, $^) -Wl,--end-group $(LIBS) """ LINK_COMMANDS_MAC = """\ quiet_cmd_alink = LIBTOOL-STATIC $@ cmd_alink = rm -f $@ && ./gyp-mac-tool filter-libtool libtool $(GYP_LIBTOOLFLAGS) -static -o $@ $(filter %.o,$^) quiet_cmd_link = LINK($(TOOLSET)) $@ cmd_link = $(LINK.$(TOOLSET)) $(GYP_LDFLAGS) $(LDFLAGS.$(TOOLSET)) -o "$@" $(LD_INPUTS) $(LIBS) quiet_cmd_solink = SOLINK($(TOOLSET)) $@ cmd_solink = $(LINK.$(TOOLSET)) -shared $(GYP_LDFLAGS) $(LDFLAGS.$(TOOLSET)) -o "$@" $(LD_INPUTS) $(LIBS) quiet_cmd_solink_module = SOLINK_MODULE($(TOOLSET)) $@ cmd_solink_module = $(LINK.$(TOOLSET)) -bundle $(GYP_LDFLAGS) $(LDFLAGS.$(TOOLSET)) -o $@ $(filter-out FORCE_DO_CMD, $^) $(LIBS) """ LINK_COMMANDS_ANDROID = """\ quiet_cmd_alink = AR($(TOOLSET)) $@ cmd_alink = rm -f $@ && $(AR.$(TOOLSET)) crs $@ $(filter %.o,$^) quiet_cmd_alink_thin = AR($(TOOLSET)) $@ cmd_alink_thin = rm -f $@ && $(AR.$(TOOLSET)) crsT $@ $(filter %.o,$^) # Due to circular dependencies between libraries :(, we wrap the # special "figure out circular dependencies" flags around the entire # input list during linking. quiet_cmd_link = LINK($(TOOLSET)) $@ quiet_cmd_link_host = LINK($(TOOLSET)) $@ cmd_link = $(LINK.$(TOOLSET)) $(GYP_LDFLAGS) $(LDFLAGS.$(TOOLSET)) -o $@ -Wl,--start-group $(LD_INPUTS) -Wl,--end-group $(LIBS) cmd_link_host = $(LINK.$(TOOLSET)) $(GYP_LDFLAGS) $(LDFLAGS.$(TOOLSET)) -o $@ $(LD_INPUTS) $(LIBS) # Other shared-object link notes: # - Set SONAME to the library filename so our binaries don't reference # the local, absolute paths used on the link command-line. quiet_cmd_solink = SOLINK($(TOOLSET)) $@ cmd_solink = $(LINK.$(TOOLSET)) -shared $(GYP_LDFLAGS) $(LDFLAGS.$(TOOLSET)) -Wl,-soname=$(@F) -o $@ -Wl,--whole-archive $(LD_INPUTS) -Wl,--no-whole-archive $(LIBS) quiet_cmd_solink_module = SOLINK_MODULE($(TOOLSET)) $@ cmd_solink_module = $(LINK.$(TOOLSET)) -shared $(GYP_LDFLAGS) $(LDFLAGS.$(TOOLSET)) -Wl,-soname=$(@F) -o $@ -Wl,--start-group $(filter-out FORCE_DO_CMD, $^) -Wl,--end-group $(LIBS) quiet_cmd_solink_module_host = SOLINK_MODULE($(TOOLSET)) $@ cmd_solink_module_host = $(LINK.$(TOOLSET)) -shared $(GYP_LDFLAGS) $(LDFLAGS.$(TOOLSET)) -Wl,-soname=$(@F) -o $@ $(filter-out FORCE_DO_CMD, $^) $(LIBS) """ LINK_COMMANDS_AIX = """\ quiet_cmd_alink = AR($(TOOLSET)) $@ cmd_alink = rm -f $@ && $(AR.$(TOOLSET)) -X32_64 crs $@ $(filter %.o,$^) quiet_cmd_alink_thin = AR($(TOOLSET)) $@ cmd_alink_thin = rm -f $@ && $(AR.$(TOOLSET)) -X32_64 crs $@ $(filter %.o,$^) quiet_cmd_link = LINK($(TOOLSET)) $@ cmd_link = $(LINK.$(TOOLSET)) $(GYP_LDFLAGS) $(LDFLAGS.$(TOOLSET)) -o $@ $(LD_INPUTS) $(LIBS) quiet_cmd_solink = SOLINK($(TOOLSET)) $@ cmd_solink = $(LINK.$(TOOLSET)) -shared $(GYP_LDFLAGS) $(LDFLAGS.$(TOOLSET)) -o $@ $(LD_INPUTS) $(LIBS) quiet_cmd_solink_module = SOLINK_MODULE($(TOOLSET)) $@ cmd_solink_module = $(LINK.$(TOOLSET)) -shared $(GYP_LDFLAGS) $(LDFLAGS.$(TOOLSET)) -o $@ $(filter-out FORCE_DO_CMD, $^) $(LIBS) """ # Header of toplevel Makefile. # This should go into the build tree, but it's easier to keep it here for now. SHARED_HEADER = ("""\ # We borrow heavily from the kernel build setup, though we are simpler since # we don't have Kconfig tweaking settings on us. # The implicit make rules have it looking for RCS files, among other things. # We instead explicitly write all the rules we care about. # It's even quicker (saves ~200ms) to pass -r on the command line. MAKEFLAGS=-r # The source directory tree. srcdir := %(srcdir)s abs_srcdir := $(abspath $(srcdir)) # The name of the builddir. builddir_name ?= %(builddir)s # The V=1 flag on command line makes us verbosely print command lines. ifdef V quiet= else quiet=quiet_ endif # Specify BUILDTYPE=Release on the command line for a release build. BUILDTYPE ?= %(default_configuration)s # Directory all our build output goes into. # Note that this must be two directories beneath src/ for unit tests to pass, # as they reach into the src/ directory for data with relative paths. builddir ?= $(builddir_name)/$(BUILDTYPE) abs_builddir := $(abspath $(builddir)) depsdir := $(builddir)/.deps # Object output directory. obj := $(builddir)/obj abs_obj := $(abspath $(obj)) # We build up a list of every single one of the targets so we can slurp in the # generated dependency rule Makefiles in one pass. all_deps := %(make_global_settings)s CC.target ?= %(CC.target)s CFLAGS.target ?= $(CPPFLAGS) $(CFLAGS) CXX.target ?= %(CXX.target)s CXXFLAGS.target ?= $(CPPFLAGS) $(CXXFLAGS) LINK.target ?= %(LINK.target)s LDFLAGS.target ?= $(LDFLAGS) AR.target ?= $(AR) # C++ apps need to be linked with g++. LINK ?= $(CXX.target) # TODO(evan): move all cross-compilation logic to gyp-time so we don't need # to replicate this environment fallback in make as well. CC.host ?= %(CC.host)s CFLAGS.host ?= $(CPPFLAGS_host) $(CFLAGS_host) CXX.host ?= %(CXX.host)s CXXFLAGS.host ?= $(CPPFLAGS_host) $(CXXFLAGS_host) LINK.host ?= %(LINK.host)s LDFLAGS.host ?= AR.host ?= %(AR.host)s # Define a dir function that can handle spaces. # http://www.gnu.org/software/make/manual/make.html#Syntax-of-Functions # "leading spaces cannot appear in the text of the first argument as written. # These characters can be put into the argument value by variable substitution." empty := space := $(empty) $(empty) # http://stackoverflow.com/questions/1189781/using-make-dir-or-notdir-on-a-path-with-spaces replace_spaces = $(subst $(space),""" + SPACE_REPLACEMENT + """,$1) unreplace_spaces = $(subst """ + SPACE_REPLACEMENT + """,$(space),$1) dirx = $(call unreplace_spaces,$(dir $(call replace_spaces,$1))) # Flags to make gcc output dependency info. Note that you need to be # careful here to use the flags that ccache and distcc can understand. # We write to a dep file on the side first and then rename at the end # so we can't end up with a broken dep file. depfile = $(depsdir)/$(call replace_spaces,$@).d DEPFLAGS = -MMD -MF $(depfile).raw # We have to fixup the deps output in a few ways. # (1) the file output should mention the proper .o file. # ccache or distcc lose the path to the target, so we convert a rule of # the form: # foobar.o: DEP1 DEP2 # into # path/to/foobar.o: DEP1 DEP2 # (2) we want missing files not to cause us to fail to build. # We want to rewrite # foobar.o: DEP1 DEP2 \\ # DEP3 # to # DEP1: # DEP2: # DEP3: # so if the files are missing, they're just considered phony rules. # We have to do some pretty insane escaping to get those backslashes # and dollar signs past make, the shell, and sed at the same time. # Doesn't work with spaces, but that's fine: .d files have spaces in # their names replaced with other characters.""" r""" define fixup_dep # The depfile may not exist if the input file didn't have any #includes. touch $(depfile).raw # Fixup path as in (1). sed -e "s|^$(notdir $@)|$@|" $(depfile).raw >> $(depfile) # Add extra rules as in (2). # We remove slashes and replace spaces with new lines; # remove blank lines; # delete the first line and append a colon to the remaining lines. sed -e 's|\\||' -e 'y| |\n|' $(depfile).raw |\ grep -v '^$$' |\ sed -e 1d -e 's|$$|:|' \ >> $(depfile) rm $(depfile).raw endef """ """ # Command definitions: # - cmd_foo is the actual command to run; # - quiet_cmd_foo is the brief-output summary of the command. quiet_cmd_cc = CC($(TOOLSET)) $@ cmd_cc = $(CC.$(TOOLSET)) $(GYP_CFLAGS) $(DEPFLAGS) $(CFLAGS.$(TOOLSET)) -c -o $@ $< quiet_cmd_cxx = CXX($(TOOLSET)) $@ cmd_cxx = $(CXX.$(TOOLSET)) $(GYP_CXXFLAGS) $(DEPFLAGS) $(CXXFLAGS.$(TOOLSET)) -c -o $@ $< %(extra_commands)s quiet_cmd_touch = TOUCH $@ cmd_touch = touch $@ quiet_cmd_copy = COPY $@ # send stderr to /dev/null to ignore messages when linking directories. cmd_copy = ln -f "$<" "$@" 2>/dev/null || (rm -rf "$@" && cp %(copy_archive_args)s "$<" "$@") %(link_commands)s """ r""" # Define an escape_quotes function to escape single quotes. # This allows us to handle quotes properly as long as we always use # use single quotes and escape_quotes. escape_quotes = $(subst ','\'',$(1)) # This comment is here just to include a ' to unconfuse syntax highlighting. # Define an escape_vars function to escape '$' variable syntax. # This allows us to read/write command lines with shell variables (e.g. # $LD_LIBRARY_PATH), without triggering make substitution. escape_vars = $(subst $$,$$$$,$(1)) # Helper that expands to a shell command to echo a string exactly as it is in # make. This uses printf instead of echo because printf's behaviour with respect # to escape sequences is more portable than echo's across different shells # (e.g., dash, bash). exact_echo = printf '%%s\n' '$(call escape_quotes,$(1))' """ """ # Helper to compare the command we're about to run against the command # we logged the last time we ran the command. Produces an empty # string (false) when the commands match. # Tricky point: Make has no string-equality test function. # The kernel uses the following, but it seems like it would have false # positives, where one string reordered its arguments. # arg_check = $(strip $(filter-out $(cmd_$(1)), $(cmd_$@)) \\ # $(filter-out $(cmd_$@), $(cmd_$(1)))) # We instead substitute each for the empty string into the other, and # say they're equal if both substitutions produce the empty string. # .d files contain """ + SPACE_REPLACEMENT + \ """ instead of spaces, take that into account. command_changed = $(or $(subst $(cmd_$(1)),,$(cmd_$(call replace_spaces,$@))),\\ $(subst $(cmd_$(call replace_spaces,$@)),,$(cmd_$(1)))) # Helper that is non-empty when a prerequisite changes. # Normally make does this implicitly, but we force rules to always run # so we can check their command lines. # $? -- new prerequisites # $| -- order-only dependencies prereq_changed = $(filter-out FORCE_DO_CMD,$(filter-out $|,$?)) # Helper that executes all postbuilds until one fails. define do_postbuilds @E=0;\\ for p in $(POSTBUILDS); do\\ eval $$p;\\ E=$$?;\\ if [ $$E -ne 0 ]; then\\ break;\\ fi;\\ done;\\ if [ $$E -ne 0 ]; then\\ rm -rf "$@";\\ exit $$E;\\ fi endef # do_cmd: run a command via the above cmd_foo names, if necessary. # Should always run for a given target to handle command-line changes. # Second argument, if non-zero, makes it do asm/C/C++ dependency munging. # Third argument, if non-zero, makes it do POSTBUILDS processing. # Note: We intentionally do NOT call dirx for depfile, since it contains """ + \ SPACE_REPLACEMENT + """ for # spaces already and dirx strips the """ + SPACE_REPLACEMENT + \ """ characters. define do_cmd $(if $(or $(command_changed),$(prereq_changed)), @$(call exact_echo, $($(quiet)cmd_$(1))) @mkdir -p "$(call dirx,$@)" "$(dir $(depfile))" $(if $(findstring flock,$(word %(flock_index)d,$(cmd_$1))), @$(cmd_$(1)) @echo " $(quiet_cmd_$(1)): Finished", @$(cmd_$(1)) ) @$(call exact_echo,$(call escape_vars,cmd_$(call replace_spaces,$@) := $(cmd_$(1)))) > $(depfile) @$(if $(2),$(fixup_dep)) $(if $(and $(3), $(POSTBUILDS)), $(call do_postbuilds) ) ) endef # Declare the "%(default_target)s" target first so it is the default, # even though we don't have the deps yet. .PHONY: %(default_target)s %(default_target)s: # make looks for ways to re-generate included makefiles, but in our case, we # don't have a direct way. Explicitly telling make that it has nothing to do # for them makes it go faster. %%.d: ; # Use FORCE_DO_CMD to force a target to run. Should be coupled with # do_cmd. .PHONY: FORCE_DO_CMD FORCE_DO_CMD: """) SHARED_HEADER_MAC_COMMANDS = """ quiet_cmd_objc = CXX($(TOOLSET)) $@ cmd_objc = $(CC.$(TOOLSET)) $(GYP_OBJCFLAGS) $(DEPFLAGS) -c -o $@ $< quiet_cmd_objcxx = CXX($(TOOLSET)) $@ cmd_objcxx = $(CXX.$(TOOLSET)) $(GYP_OBJCXXFLAGS) $(DEPFLAGS) -c -o $@ $< # Commands for precompiled header files. quiet_cmd_pch_c = CXX($(TOOLSET)) $@ cmd_pch_c = $(CC.$(TOOLSET)) $(GYP_PCH_CFLAGS) $(DEPFLAGS) $(CXXFLAGS.$(TOOLSET)) -c -o $@ $< quiet_cmd_pch_cc = CXX($(TOOLSET)) $@ cmd_pch_cc = $(CC.$(TOOLSET)) $(GYP_PCH_CXXFLAGS) $(DEPFLAGS) $(CXXFLAGS.$(TOOLSET)) -c -o $@ $< quiet_cmd_pch_m = CXX($(TOOLSET)) $@ cmd_pch_m = $(CC.$(TOOLSET)) $(GYP_PCH_OBJCFLAGS) $(DEPFLAGS) -c -o $@ $< quiet_cmd_pch_mm = CXX($(TOOLSET)) $@ cmd_pch_mm = $(CC.$(TOOLSET)) $(GYP_PCH_OBJCXXFLAGS) $(DEPFLAGS) -c -o $@ $< # gyp-mac-tool is written next to the root Makefile by gyp. # Use $(4) for the command, since $(2) and $(3) are used as flag by do_cmd # already. quiet_cmd_mac_tool = MACTOOL $(4) $< cmd_mac_tool = ./gyp-mac-tool $(4) $< "$@" quiet_cmd_mac_package_framework = PACKAGE FRAMEWORK $@ cmd_mac_package_framework = ./gyp-mac-tool package-framework "$@" $(4) quiet_cmd_infoplist = INFOPLIST $@ cmd_infoplist = $(CC.$(TOOLSET)) -E -P -Wno-trigraphs -x c $(INFOPLIST_DEFINES) "$<" -o "$@" """ def WriteRootHeaderSuffixRules(writer): extensions = sorted(COMPILABLE_EXTENSIONS.keys(), key=str.lower) writer.write(' for ext in extensions: writer.write('$(obj).$(TOOLSET)/%%.o: $(srcdir)/%%%s FORCE_DO_CMD\n' % ext) writer.write('\t@$(call do_cmd,%s,1)\n' % COMPILABLE_EXTENSIONS[ext]) writer.write('\n for ext in extensions: writer.write( '$(obj).$(TOOLSET)/%%.o: $(obj).$(TOOLSET)/%%%s FORCE_DO_CMD\n' % ext) writer.write('\t@$(call do_cmd,%s,1)\n' % COMPILABLE_EXTENSIONS[ext]) writer.write('\n') for ext in extensions: writer.write('$(obj).$(TOOLSET)/%%.o: $(obj)/%%%s FORCE_DO_CMD\n' % ext) writer.write('\t@$(call do_cmd,%s,1)\n' % COMPILABLE_EXTENSIONS[ext]) writer.write('\n') SHARED_HEADER_SUFFIX_RULES_COMMENT1 = ("""\ # Suffix rules, putting all outputs into $(obj). """) SHARED_HEADER_SUFFIX_RULES_COMMENT2 = ("""\ # Try building from generated source, too. """) SHARED_FOOTER = """\ # "all" is a concatenation of the "all" targets from all the included # sub-makefiles. This is just here to clarify. all: # Add in dependency-tracking rules. $(all_deps) is the list of every single # target in our tree. Only consider the ones with .d (dependency) info: d_files := $(wildcard $(foreach f,$(all_deps),$(depsdir)/$(f).d)) ifneq ($(d_files),) include $(d_files) endif """ header = """\ # This file is generated by gyp; do not edit. """ # Maps every compilable file extension to the do_cmd that compiles it. COMPILABLE_EXTENSIONS = { '.c': 'cc', '.cc': 'cxx', '.cpp': 'cxx', '.cxx': 'cxx', '.s': 'cc', '.S': 'cc', } def Compilable(filename): """Return true if the file is compilable (should be in OBJS).""" for res in (filename.endswith(e) for e in COMPILABLE_EXTENSIONS): if res: return True return False def Linkable(filename): """Return true if the file is linkable (should be on the link line).""" return filename.endswith('.o') def Target(filename): """Translate a compilable filename to its .o target.""" return os.path.splitext(filename)[0] + '.o' def EscapeShellArgument(s): """Quotes an argument so that it will be interpreted literally by a POSIX shell. Taken from http://stackoverflow.com/questions/35817/whats-the-best-way-to-escape-ossystem-calls-in-python """ return "'" + s.replace("'", "'\\''") + "'" def EscapeMakeVariableExpansion(s): """Make has its own variable expansion syntax using $. We must escape it for string to be interpreted literally.""" return s.replace('$', '$$') def EscapeCppDefine(s): """Escapes a CPP define so that it will reach the compiler unaltered.""" s = EscapeShellArgument(s) s = EscapeMakeVariableExpansion(s) # ' # treat it as the start of a comment. return s.replace('def QuoteIfNecessary(string): """TODO: Should this ideally be replaced with one or more of the above functions?""" if '"' in string: string = '"' + string.replace('"', '\\"') + '"' return string def StringToMakefileVariable(string): """Convert a string to a value that is acceptable as a make variable name.""" return re.sub('[^a-zA-Z0-9_]', '_', string) srcdir_prefix = '' def Sourceify(path): """Convert a path to its source directory form.""" if '$(' in path: return path if os.path.isabs(path): return path return srcdir_prefix + path def QuoteSpaces(s, quote=r'\ '): return s.replace(' ', quote) # TODO: Avoid code duplication with _ValidateSourcesForMSVSProject in msvs.py. def _ValidateSourcesForOSX(spec, all_sources): """Makes sure if duplicate basenames are not specified in the source list. Arguments: spec: The target dictionary containing the properties of the target. """ if spec.get('type', None) != 'static_library': return basenames = {} for source in all_sources: name, ext = os.path.splitext(source) is_compiled_file = ext in [ '.c', '.cc', '.cpp', '.cxx', '.m', '.mm', '.s', '.S'] if not is_compiled_file: continue basename = os.path.basename(name) # Don't include extension. basenames.setdefault(basename, []).append(source) error = '' for basename, files in basenames.iteritems(): if len(files) > 1: error += ' %s: %s\n' % (basename, ' '.join(files)) if error: print('static library %s has several files with the same basename:\n' % spec['target_name'] + error + 'libtool on OS X will generate' + ' warnings for them.') raise GypError('Duplicate basenames in sources section, see list above') # Map from qualified target to path to output. target_outputs = {} # Map from qualified target to any linkable output. A subset # of target_outputs. E.g. when mybinary depends on liba, we want to # include liba in the linker line; when otherbinary depends on # mybinary, we just want to build mybinary first. target_link_deps = {} class MakefileWriter(object): """MakefileWriter packages up the writing of one target-specific foobar.mk. Its only real entry point is Write(), and is mostly used for namespacing. """ def __init__(self, generator_flags, flavor): self.generator_flags = generator_flags self.flavor = flavor self.suffix_rules_srcdir = {} self.suffix_rules_objdir1 = {} self.suffix_rules_objdir2 = {} # Generate suffix rules for all compilable extensions. for ext in COMPILABLE_EXTENSIONS.keys(): # Suffix rules for source folder. self.suffix_rules_srcdir.update({ext: ("""\ $(obj).$(TOOLSET)/$(TARGET)/%%.o: $(srcdir)/%%%s FORCE_DO_CMD @$(call do_cmd,%s,1) """ % (ext, COMPILABLE_EXTENSIONS[ext]))}) # Suffix rules for generated source files. self.suffix_rules_objdir1.update({ext: ("""\ $(obj).$(TOOLSET)/$(TARGET)/%%.o: $(obj).$(TOOLSET)/%%%s FORCE_DO_CMD @$(call do_cmd,%s,1) """ % (ext, COMPILABLE_EXTENSIONS[ext]))}) self.suffix_rules_objdir2.update({ext: ("""\ $(obj).$(TOOLSET)/$(TARGET)/%%.o: $(obj)/%%%s FORCE_DO_CMD @$(call do_cmd,%s,1) """ % (ext, COMPILABLE_EXTENSIONS[ext]))}) def Write(self, qualified_target, base_path, output_filename, spec, configs, part_of_all): """The main entry point: writes a .mk file for a single target. Arguments: qualified_target: target we're generating base_path: path relative to source root we're building in, used to resolve target-relative paths output_filename: output .mk file name to write spec, configs: gyp info part_of_all: flag indicating this target is part of 'all' """ gyp.common.EnsureDirExists(output_filename) self.fp = open(output_filename, 'w') self.fp.write(header) self.qualified_target = qualified_target self.path = base_path self.target = spec['target_name'] self.type = spec['type'] self.toolset = spec['toolset'] self.is_mac_bundle = gyp.xcode_emulation.IsMacBundle(self.flavor, spec) if self.flavor == 'mac': self.xcode_settings = gyp.xcode_emulation.XcodeSettings(spec) else: self.xcode_settings = None deps, link_deps = self.ComputeDeps(spec) # Some of the generation below can add extra output, sources, or # link dependencies. All of the out params of the functions that # follow use names like extra_foo. extra_outputs = [] extra_sources = [] extra_link_deps = [] extra_mac_bundle_resources = [] mac_bundle_deps = [] if self.is_mac_bundle: self.output = self.ComputeMacBundleOutput(spec) self.output_binary = self.ComputeMacBundleBinaryOutput(spec) else: self.output = self.output_binary = self.ComputeOutput(spec) self.is_standalone_static_library = bool( spec.get('standalone_static_library', 0)) self._INSTALLABLE_TARGETS = ('executable', 'loadable_module', 'shared_library') if (self.is_standalone_static_library or self.type in self._INSTALLABLE_TARGETS): self.alias = os.path.basename(self.output) install_path = self._InstallableTargetInstallPath() else: self.alias = self.output install_path = self.output self.WriteLn("TOOLSET := " + self.toolset) self.WriteLn("TARGET := " + self.target) # Actions must come first, since they can generate more OBJs for use below. if 'actions' in spec: self.WriteActions(spec['actions'], extra_sources, extra_outputs, extra_mac_bundle_resources, part_of_all) # Rules must be early like actions. if 'rules' in spec: self.WriteRules(spec['rules'], extra_sources, extra_outputs, extra_mac_bundle_resources, part_of_all) if 'copies' in spec: self.WriteCopies(spec['copies'], extra_outputs, part_of_all) # Bundle resources. if self.is_mac_bundle: all_mac_bundle_resources = ( spec.get('mac_bundle_resources', []) + extra_mac_bundle_resources) self.WriteMacBundleResources(all_mac_bundle_resources, mac_bundle_deps) self.WriteMacInfoPlist(mac_bundle_deps) # Sources. all_sources = spec.get('sources', []) + extra_sources if all_sources: if self.flavor == 'mac': # libtool on OS X generates warnings for duplicate basenames in the same # target. _ValidateSourcesForOSX(spec, all_sources) self.WriteSources( configs, deps, all_sources, extra_outputs, extra_link_deps, part_of_all, gyp.xcode_emulation.MacPrefixHeader( self.xcode_settings, lambda p: Sourceify(self.Absolutify(p)), self.Pchify)) sources = filter(Compilable, all_sources) if sources: self.WriteLn(SHARED_HEADER_SUFFIX_RULES_COMMENT1) extensions = set([os.path.splitext(s)[1] for s in sources]) for ext in extensions: if ext in self.suffix_rules_srcdir: self.WriteLn(self.suffix_rules_srcdir[ext]) self.WriteLn(SHARED_HEADER_SUFFIX_RULES_COMMENT2) for ext in extensions: if ext in self.suffix_rules_objdir1: self.WriteLn(self.suffix_rules_objdir1[ext]) for ext in extensions: if ext in self.suffix_rules_objdir2: self.WriteLn(self.suffix_rules_objdir2[ext]) self.WriteLn('# End of this set of suffix rules') # Add dependency from bundle to bundle binary. if self.is_mac_bundle: mac_bundle_deps.append(self.output_binary) self.WriteTarget(spec, configs, deps, extra_link_deps + link_deps, mac_bundle_deps, extra_outputs, part_of_all) # Update global list of target outputs, used in dependency tracking. target_outputs[qualified_target] = install_path # Update global list of link dependencies. if self.type in ('static_library', 'shared_library'): target_link_deps[qualified_target] = self.output_binary # Currently any versions have the same effect, but in future the behavior # could be different. if self.generator_flags.get('android_ndk_version', None): self.WriteAndroidNdkModuleRule(self.target, all_sources, link_deps) self.fp.close() def WriteSubMake(self, output_filename, makefile_path, targets, build_dir): """Write a "sub-project" Makefile. This is a small, wrapper Makefile that calls the top-level Makefile to build the targets from a single gyp file (i.e. a sub-project). Arguments: output_filename: sub-project Makefile name to write makefile_path: path to the top-level Makefile targets: list of "all" targets for this sub-project build_dir: build output directory, relative to the sub-project """ gyp.common.EnsureDirExists(output_filename) self.fp = open(output_filename, 'w') self.fp.write(header) # For consistency with other builders, put sub-project build output in the # sub-project dir (see test/subdirectory/gyptest-subdir-all.py). self.WriteLn('export builddir_name ?= %s' % os.path.join(os.path.dirname(output_filename), build_dir)) self.WriteLn('.PHONY: all') self.WriteLn('all:') if makefile_path: makefile_path = ' -C ' + makefile_path self.WriteLn('\t$(MAKE)%s %s' % (makefile_path, ' '.join(targets))) self.fp.close() def WriteActions(self, actions, extra_sources, extra_outputs, extra_mac_bundle_resources, part_of_all): """Write Makefile code for any 'actions' from the gyp input. extra_sources: a list that will be filled in with newly generated source files, if any extra_outputs: a list that will be filled in with any outputs of these actions (used to make other pieces dependent on these actions) part_of_all: flag indicating this target is part of 'all' """ env = self.GetSortedXcodeEnv() for action in actions: name = StringToMakefileVariable('%s_%s' % (self.qualified_target, action['action_name'])) self.WriteLn('### Rules for action "%s":' % action['action_name']) inputs = action['inputs'] outputs = action['outputs'] # Build up a list of outputs. # Collect the output dirs we'll need. dirs = set() for out in outputs: dir = os.path.split(out)[0] if dir: dirs.add(dir) if int(action.get('process_outputs_as_sources', False)): extra_sources += outputs if int(action.get('process_outputs_as_mac_bundle_resources', False)): extra_mac_bundle_resources += outputs # Write the actual command. action_commands = action['action'] if self.flavor == 'mac': action_commands = [gyp.xcode_emulation.ExpandEnvVars(command, env) for command in action_commands] command = gyp.common.EncodePOSIXShellList(action_commands) if 'message' in action: self.WriteLn('quiet_cmd_%s = ACTION %s $@' % (name, action['message'])) else: self.WriteLn('quiet_cmd_%s = ACTION %s $@' % (name, name)) if len(dirs) > 0: command = 'mkdir -p %s' % ' '.join(dirs) + '; ' + command cd_action = 'cd %s; ' % Sourceify(self.path or '.') # command and cd_action get written to a toplevel variable called # cmd_foo. Toplevel variables can't handle things that change per # makefile like $(TARGET), so hardcode the target. command = command.replace('$(TARGET)', self.target) cd_action = cd_action.replace('$(TARGET)', self.target) # Set LD_LIBRARY_PATH in case the action runs an executable from this # build which links to shared libs from this build. # actions run on the host, so they should in theory only use host # libraries, but until everything is made cross-compile safe, also use # target libraries. # TODO(piman): when everything is cross-compile safe, remove lib.target self.WriteLn('cmd_%s = LD_LIBRARY_PATH=$(builddir)/lib.host:' '$(builddir)/lib.target:$$LD_LIBRARY_PATH; ' 'export LD_LIBRARY_PATH; ' '%s%s' % (name, cd_action, command)) self.WriteLn() outputs = map(self.Absolutify, outputs) # The makefile rules are all relative to the top dir, but the gyp actions # are defined relative to their containing dir. This replaces the obj # variable for the action rule with an absolute version so that the output # goes in the right place. # Only write the 'obj' and 'builddir' rules for the "primary" output (:1); # it's superfluous for the "extra outputs", and this avoids accidentally # writing duplicate dummy rules for those outputs. # Same for environment. self.WriteLn("%s: obj := $(abs_obj)" % QuoteSpaces(outputs[0])) self.WriteLn("%s: builddir := $(abs_builddir)" % QuoteSpaces(outputs[0])) self.WriteSortedXcodeEnv(outputs[0], self.GetSortedXcodeEnv()) for input in inputs: assert ' ' not in input, ( "Spaces in action input filenames not supported (%s)" % input) for output in outputs: assert ' ' not in output, ( "Spaces in action output filenames not supported (%s)" % output) # See the comment in WriteCopies about expanding env vars. outputs = [gyp.xcode_emulation.ExpandEnvVars(o, env) for o in outputs] inputs = [gyp.xcode_emulation.ExpandEnvVars(i, env) for i in inputs] self.WriteDoCmd(outputs, map(Sourceify, map(self.Absolutify, inputs)), part_of_all=part_of_all, command=name) # Stuff the outputs in a variable so we can refer to them later. outputs_variable = 'action_%s_outputs' % name self.WriteLn('%s := %s' % (outputs_variable, ' '.join(outputs))) extra_outputs.append('$(%s)' % outputs_variable) self.WriteLn() self.WriteLn() def WriteRules(self, rules, extra_sources, extra_outputs, extra_mac_bundle_resources, part_of_all): """Write Makefile code for any 'rules' from the gyp input. extra_sources: a list that will be filled in with newly generated source files, if any extra_outputs: a list that will be filled in with any outputs of these rules (used to make other pieces dependent on these rules) part_of_all: flag indicating this target is part of 'all' """ env = self.GetSortedXcodeEnv() for rule in rules: name = StringToMakefileVariable('%s_%s' % (self.qualified_target, rule['rule_name'])) count = 0 self.WriteLn('### Generated for rule %s:' % name) all_outputs = [] for rule_source in rule.get('rule_sources', []): dirs = set() (rule_source_dirname, rule_source_basename) = os.path.split(rule_source) (rule_source_root, rule_source_ext) = \ os.path.splitext(rule_source_basename) outputs = [self.ExpandInputRoot(out, rule_source_root, rule_source_dirname) for out in rule['outputs']] for out in outputs: dir = os.path.dirname(out) if dir: dirs.add(dir) if int(rule.get('process_outputs_as_sources', False)): extra_sources += outputs if int(rule.get('process_outputs_as_mac_bundle_resources', False)): extra_mac_bundle_resources += outputs inputs = map(Sourceify, map(self.Absolutify, [rule_source] + rule.get('inputs', []))) actions = ['$(call do_cmd,%s_%d)' % (name, count)] if name == 'resources_grit': # HACK: This is ugly. Grit intentionally doesn't touch the # timestamp of its output file when the file doesn't change, # which is fine in hash-based dependency systems like scons # and forge, but not kosher in the make world. After some # discussion, hacking around it here seems like the least # amount of pain. actions += ['@touch --no-create $@'] # See the comment in WriteCopies about expanding env vars. outputs = [gyp.xcode_emulation.ExpandEnvVars(o, env) for o in outputs] inputs = [gyp.xcode_emulation.ExpandEnvVars(i, env) for i in inputs] outputs = map(self.Absolutify, outputs) all_outputs += outputs # Only write the 'obj' and 'builddir' rules for the "primary" output # (:1); it's superfluous for the "extra outputs", and this avoids # accidentally writing duplicate dummy rules for those outputs. self.WriteLn('%s: obj := $(abs_obj)' % outputs[0]) self.WriteLn('%s: builddir := $(abs_builddir)' % outputs[0]) self.WriteMakeRule(outputs, inputs, actions, command="%s_%d" % (name, count)) # Spaces in rule filenames are not supported, but rule variables have # spaces in them (e.g. RULE_INPUT_PATH expands to '$(abspath $<)'). # The spaces within the variables are valid, so remove the variables # before checking. variables_with_spaces = re.compile(r'\$$[^ ]* \$<$') for output in outputs: output = re.sub(variables_with_spaces, '', output) assert ' ' not in output, ( "Spaces in rule filenames not yet supported (%s)" % output) self.WriteLn('all_deps += %s' % ' '.join(outputs)) action = [self.ExpandInputRoot(ac, rule_source_root, rule_source_dirname) for ac in rule['action']] mkdirs = '' if len(dirs) > 0: mkdirs = 'mkdir -p %s; ' % ' '.join(dirs) cd_action = 'cd %s; ' % Sourceify(self.path or '.') # action, cd_action, and mkdirs get written to a toplevel variable # called cmd_foo. Toplevel variables can't handle things that change # per makefile like $(TARGET), so hardcode the target. if self.flavor == 'mac': action = [gyp.xcode_emulation.ExpandEnvVars(command, env) for command in action] action = gyp.common.EncodePOSIXShellList(action) action = action.replace('$(TARGET)', self.target) cd_action = cd_action.replace('$(TARGET)', self.target) mkdirs = mkdirs.replace('$(TARGET)', self.target) # Set LD_LIBRARY_PATH in case the rule runs an executable from this # build which links to shared libs from this build. # rules run on the host, so they should in theory only use host # libraries, but until everything is made cross-compile safe, also use # target libraries. # TODO(piman): when everything is cross-compile safe, remove lib.target self.WriteLn( "cmd_%(name)s_%(count)d = LD_LIBRARY_PATH=" "$(builddir)/lib.host:$(builddir)/lib.target:$$LD_LIBRARY_PATH; " "export LD_LIBRARY_PATH; " "%(cd_action)s%(mkdirs)s%(action)s" % { 'action': action, 'cd_action': cd_action, 'count': count, 'mkdirs': mkdirs, 'name': name, }) self.WriteLn( 'quiet_cmd_%(name)s_%(count)d = RULE %(name)s_%(count)d $@' % { 'count': count, 'name': name, }) self.WriteLn() count += 1 outputs_variable = 'rule_%s_outputs' % name self.WriteList(all_outputs, outputs_variable) extra_outputs.append('$(%s)' % outputs_variable) self.WriteLn('### Finished generating for rule: %s' % name) self.WriteLn() self.WriteLn('### Finished generating for all rules') self.WriteLn('') def WriteCopies(self, copies, extra_outputs, part_of_all): """Write Makefile code for any 'copies' from the gyp input. extra_outputs: a list that will be filled in with any outputs of this action (used to make other pieces dependent on this action) part_of_all: flag indicating this target is part of 'all' """ self.WriteLn('### Generated for copy rule.') variable = StringToMakefileVariable(self.qualified_target + '_copies') outputs = [] for copy in copies: for path in copy['files']: # Absolutify() may call normpath, and will strip trailing slashes. path = Sourceify(self.Absolutify(path)) filename = os.path.split(path)[1] output = Sourceify(self.Absolutify(os.path.join(copy['destination'], filename))) # If the output path has variables in it, which happens in practice for # 'copies', writing the environment as target-local doesn't work, # because the variables are already needed for the target name. # Copying the environment variables into global make variables doesn't # work either, because then the .d files will potentially contain spaces # after variable expansion, and .d file handling cannot handle spaces. # As a workaround, manually expand variables at gyp time. Since 'copies' # can't run scripts, there's no need to write the env then. # WriteDoCmd() will escape spaces for .d files. env = self.GetSortedXcodeEnv() output = gyp.xcode_emulation.ExpandEnvVars(output, env) path = gyp.xcode_emulation.ExpandEnvVars(path, env) self.WriteDoCmd([output], [path], 'copy', part_of_all) outputs.append(output) self.WriteLn('%s = %s' % (variable, ' '.join(map(QuoteSpaces, outputs)))) extra_outputs.append('$(%s)' % variable) self.WriteLn() def WriteMacBundleResources(self, resources, bundle_deps): """Writes Makefile code for 'mac_bundle_resources'.""" self.WriteLn('### Generated for mac_bundle_resources') for output, res in gyp.xcode_emulation.GetMacBundleResources( generator_default_variables['PRODUCT_DIR'], self.xcode_settings, map(Sourceify, map(self.Absolutify, resources))): _, ext = os.path.splitext(output) if ext != '.xcassets': # Make does not supports '.xcassets' emulation. self.WriteDoCmd([output], [res], 'mac_tool,,,copy-bundle-resource', part_of_all=True) bundle_deps.append(output) def WriteMacInfoPlist(self, bundle_deps): """Write Makefile code for bundle Info.plist files.""" info_plist, out, defines, extra_env = gyp.xcode_emulation.GetMacInfoPlist( generator_default_variables['PRODUCT_DIR'], self.xcode_settings, lambda p: Sourceify(self.Absolutify(p))) if not info_plist: return if defines: # Create an intermediate file to store preprocessed results. intermediate_plist = ('$(obj).$(TOOLSET)/$(TARGET)/' + os.path.basename(info_plist)) self.WriteList(defines, intermediate_plist + ': INFOPLIST_DEFINES', '-D', quoter=EscapeCppDefine) self.WriteMakeRule([intermediate_plist], [info_plist], ['$(call do_cmd,infoplist)', # "Convert" the plist so that any weird whitespace changes from the # preprocessor do not affect the XML parser in mac_tool. '@plutil -convert xml1 $@ $@']) info_plist = intermediate_plist # plists can contain envvars and substitute them into the file. self.WriteSortedXcodeEnv( out, self.GetSortedXcodeEnv(additional_settings=extra_env)) self.WriteDoCmd([out], [info_plist], 'mac_tool,,,copy-info-plist', part_of_all=True) bundle_deps.append(out) def WriteSources(self, configs, deps, sources, extra_outputs, extra_link_deps, part_of_all, precompiled_header): """Write Makefile code for any 'sources' from the gyp input. These are source files necessary to build the current target. configs, deps, sources: input from gyp. extra_outputs: a list of extra outputs this action should be dependent on; used to serialize action/rules before compilation extra_link_deps: a list that will be filled in with any outputs of compilation (to be used in link lines) part_of_all: flag indicating this target is part of 'all' """ # Write configuration-specific variables for CFLAGS, etc. for configname in sorted(configs.keys()): config = configs[configname] self.WriteList(config.get('defines'), 'DEFS_%s' % configname, prefix='-D', quoter=EscapeCppDefine) if self.flavor == 'mac': cflags = self.xcode_settings.GetCflags(configname) cflags_c = self.xcode_settings.GetCflagsC(configname) cflags_cc = self.xcode_settings.GetCflagsCC(configname) cflags_objc = self.xcode_settings.GetCflagsObjC(configname) cflags_objcc = self.xcode_settings.GetCflagsObjCC(configname) else: cflags = config.get('cflags') cflags_c = config.get('cflags_c') cflags_cc = config.get('cflags_cc') self.WriteLn("# Flags passed to all source files."); self.WriteList(cflags, 'CFLAGS_%s' % configname) self.WriteLn("# Flags passed to only C files."); self.WriteList(cflags_c, 'CFLAGS_C_%s' % configname) self.WriteLn("# Flags passed to only C++ files."); self.WriteList(cflags_cc, 'CFLAGS_CC_%s' % configname) if self.flavor == 'mac': self.WriteLn("# Flags passed to only ObjC files."); self.WriteList(cflags_objc, 'CFLAGS_OBJC_%s' % configname) self.WriteLn("# Flags passed to only ObjC++ files."); self.WriteList(cflags_objcc, 'CFLAGS_OBJCC_%s' % configname) includes = config.get('include_dirs') if includes: includes = map(Sourceify, map(self.Absolutify, includes)) self.WriteList(includes, 'INCS_%s' % configname, prefix='-I') compilable = filter(Compilable, sources) objs = map(self.Objectify, map(self.Absolutify, map(Target, compilable))) self.WriteList(objs, 'OBJS') for obj in objs: assert ' ' not in obj, ( "Spaces in object filenames not supported (%s)" % obj) self.WriteLn('# Add to the list of files we specially track ' 'dependencies for.') self.WriteLn('all_deps += $(OBJS)') self.WriteLn() # Make sure our dependencies are built first. if deps: self.WriteMakeRule(['$(OBJS)'], deps, comment = 'Make sure our dependencies are built ' 'before any of us.', order_only = True) # Make sure the actions and rules run first. # If they generate any extra headers etc., the per-.o file dep tracking # will catch the proper rebuilds, so order only is still ok here. if extra_outputs: self.WriteMakeRule(['$(OBJS)'], extra_outputs, comment = 'Make sure our actions/rules run ' 'before any of us.', order_only = True) pchdeps = precompiled_header.GetObjDependencies(compilable, objs ) if pchdeps: self.WriteLn('# Dependencies from obj files to their precompiled headers') for source, obj, gch in pchdeps: self.WriteLn('%s: %s' % (obj, gch)) self.WriteLn('# End precompiled header dependencies') if objs: extra_link_deps.append('$(OBJS)') self.WriteLn("""\ # CFLAGS et al overrides must be target-local. # See "Target-specific Variable Values" in the GNU Make manual.""") self.WriteLn("$(OBJS): TOOLSET := $(TOOLSET)") self.WriteLn("$(OBJS): GYP_CFLAGS := " "$(DEFS_$(BUILDTYPE)) " "$(INCS_$(BUILDTYPE)) " "%s " % precompiled_header.GetInclude('c') + "$(CFLAGS_$(BUILDTYPE)) " "$(CFLAGS_C_$(BUILDTYPE))") self.WriteLn("$(OBJS): GYP_CXXFLAGS := " "$(DEFS_$(BUILDTYPE)) " "$(INCS_$(BUILDTYPE)) " "%s " % precompiled_header.GetInclude('cc') + "$(CFLAGS_$(BUILDTYPE)) " "$(CFLAGS_CC_$(BUILDTYPE))") if self.flavor == 'mac': self.WriteLn("$(OBJS): GYP_OBJCFLAGS := " "$(DEFS_$(BUILDTYPE)) " "$(INCS_$(BUILDTYPE)) " "%s " % precompiled_header.GetInclude('m') + "$(CFLAGS_$(BUILDTYPE)) " "$(CFLAGS_C_$(BUILDTYPE)) " "$(CFLAGS_OBJC_$(BUILDTYPE))") self.WriteLn("$(OBJS): GYP_OBJCXXFLAGS := " "$(DEFS_$(BUILDTYPE)) " "$(INCS_$(BUILDTYPE)) " "%s " % precompiled_header.GetInclude('mm') + "$(CFLAGS_$(BUILDTYPE)) " "$(CFLAGS_CC_$(BUILDTYPE)) " "$(CFLAGS_OBJCC_$(BUILDTYPE))") self.WritePchTargets(precompiled_header.GetPchBuildCommands()) # If there are any object files in our input file list, link them into our # output. extra_link_deps += filter(Linkable, sources) self.WriteLn() def WritePchTargets(self, pch_commands): """Writes make rules to compile prefix headers.""" if not pch_commands: return for gch, lang_flag, lang, input in pch_commands: extra_flags = { 'c': '$(CFLAGS_C_$(BUILDTYPE))', 'cc': '$(CFLAGS_CC_$(BUILDTYPE))', 'm': '$(CFLAGS_C_$(BUILDTYPE)) $(CFLAGS_OBJC_$(BUILDTYPE))', 'mm': '$(CFLAGS_CC_$(BUILDTYPE)) $(CFLAGS_OBJCC_$(BUILDTYPE))', }[lang] var_name = { 'c': 'GYP_PCH_CFLAGS', 'cc': 'GYP_PCH_CXXFLAGS', 'm': 'GYP_PCH_OBJCFLAGS', 'mm': 'GYP_PCH_OBJCXXFLAGS', }[lang] self.WriteLn("%s: %s := %s " % (gch, var_name, lang_flag) + "$(DEFS_$(BUILDTYPE)) " "$(INCS_$(BUILDTYPE)) " "$(CFLAGS_$(BUILDTYPE)) " + extra_flags) self.WriteLn('%s: %s FORCE_DO_CMD' % (gch, input)) self.WriteLn('\t@$(call do_cmd,pch_%s,1)' % lang) self.WriteLn('') assert ' ' not in gch, ( "Spaces in gch filenames not supported (%s)" % gch) self.WriteLn('all_deps += %s' % gch) self.WriteLn('') def ComputeOutputBasename(self, spec): """Return the 'output basename' of a gyp spec. E.g., the loadable module 'foobar' in directory 'baz' will produce 'libfoobar.so' """ assert not self.is_mac_bundle if self.flavor == 'mac' and self.type in ( 'static_library', 'executable', 'shared_library', 'loadable_module'): return self.xcode_settings.GetExecutablePath() target = spec['target_name'] target_prefix = '' target_ext = '' if self.type == 'static_library': if target[:3] == 'lib': target = target[3:] target_prefix = 'lib' target_ext = '.a' elif self.type in ('loadable_module', 'shared_library'): if target[:3] == 'lib': target = target[3:] target_prefix = 'lib' if self.flavor == 'aix': target_ext = '.a' else: target_ext = '.so' elif self.type == 'none': target = '%s.stamp' % target elif self.type != 'executable': print ("ERROR: What output file should be generated?", "type", self.type, "target", target) target_prefix = spec.get('product_prefix', target_prefix) target = spec.get('product_name', target) product_ext = spec.get('product_extension') if product_ext: target_ext = '.' + product_ext return target_prefix + target + target_ext def _InstallImmediately(self): return self.toolset == 'target' and self.flavor == 'mac' and self.type in ( 'static_library', 'executable', 'shared_library', 'loadable_module') def ComputeOutput(self, spec): """Return the 'output' (full output path) of a gyp spec. E.g., the loadable module 'foobar' in directory 'baz' will produce '$(obj)/baz/libfoobar.so' """ assert not self.is_mac_bundle path = os.path.join('$(obj).' + self.toolset, self.path) if self.type == 'executable' or self._InstallImmediately(): path = '$(builddir)' path = spec.get('product_dir', path) return os.path.join(path, self.ComputeOutputBasename(spec)) def ComputeMacBundleOutput(self, spec): """Return the 'output' (full output path) to a bundle output directory.""" assert self.is_mac_bundle path = generator_default_variables['PRODUCT_DIR'] return os.path.join(path, self.xcode_settings.GetWrapperName()) def ComputeMacBundleBinaryOutput(self, spec): """Return the 'output' (full output path) to the binary in a bundle.""" path = generator_default_variables['PRODUCT_DIR'] return os.path.join(path, self.xcode_settings.GetExecutablePath()) def ComputeDeps(self, spec): """Compute the dependencies of a gyp spec. Returns a tuple (deps, link_deps), where each is a list of filenames that will need to be put in front of make for either building (deps) or linking (link_deps). """ deps = [] link_deps = [] if 'dependencies' in spec: deps.extend([target_outputs[dep] for dep in spec['dependencies'] if target_outputs[dep]]) for dep in spec['dependencies']: if dep in target_link_deps: link_deps.append(target_link_deps[dep]) deps.extend(link_deps) # TODO: It seems we need to transitively link in libraries (e.g. -lfoo)? # This hack makes it work: # link_deps.extend(spec.get('libraries', [])) return (gyp.common.uniquer(deps), gyp.common.uniquer(link_deps)) def WriteDependencyOnExtraOutputs(self, target, extra_outputs): self.WriteMakeRule([self.output_binary], extra_outputs, comment = 'Build our special outputs first.', order_only = True) def WriteTarget(self, spec, configs, deps, link_deps, bundle_deps, extra_outputs, part_of_all): """Write Makefile code to produce the final target of the gyp spec. spec, configs: input from gyp. deps, link_deps: dependency lists; see ComputeDeps() extra_outputs: any extra outputs that our target should depend on part_of_all: flag indicating this target is part of 'all' """ self.WriteLn('### Rules for final target.') if extra_outputs: self.WriteDependencyOnExtraOutputs(self.output_binary, extra_outputs) self.WriteMakeRule(extra_outputs, deps, comment=('Preserve order dependency of ' 'special output on deps.'), order_only = True) target_postbuilds = {} if self.type != 'none': for configname in sorted(configs.keys()): config = configs[configname] if self.flavor == 'mac': ldflags = self.xcode_settings.GetLdflags(configname, generator_default_variables['PRODUCT_DIR'], lambda p: Sourceify(self.Absolutify(p))) # TARGET_POSTBUILDS_$(BUILDTYPE) is added to postbuilds later on. gyp_to_build = gyp.common.InvertRelativePath(self.path) target_postbuild = self.xcode_settings.AddImplicitPostbuilds( configname, QuoteSpaces(os.path.normpath(os.path.join(gyp_to_build, self.output))), QuoteSpaces(os.path.normpath(os.path.join(gyp_to_build, self.output_binary)))) if target_postbuild: target_postbuilds[configname] = target_postbuild else: ldflags = config.get('ldflags', []) # Compute an rpath for this output if needed. if any(dep.endswith('.so') or '.so.' in dep for dep in deps): # We want to get the literal string "$ORIGIN" into the link command, # so we need lots of escaping. ldflags.append(r'-Wl,-rpath=\$$ORIGIN/lib.%s/' % self.toolset) ldflags.append(r'-Wl,-rpath-link=\$(builddir)/lib.%s/' % self.toolset) library_dirs = config.get('library_dirs', []) ldflags += [('-L%s' % library_dir) for library_dir in library_dirs] self.WriteList(ldflags, 'LDFLAGS_%s' % configname) if self.flavor == 'mac': self.WriteList(self.xcode_settings.GetLibtoolflags(configname), 'LIBTOOLFLAGS_%s' % configname) libraries = spec.get('libraries') if libraries: # Remove duplicate entries libraries = gyp.common.uniquer(libraries) if self.flavor == 'mac': libraries = self.xcode_settings.AdjustLibraries(libraries) self.WriteList(libraries, 'LIBS') self.WriteLn('%s: GYP_LDFLAGS := $(LDFLAGS_$(BUILDTYPE))' % QuoteSpaces(self.output_binary)) self.WriteLn('%s: LIBS := $(LIBS)' % QuoteSpaces(self.output_binary)) if self.flavor == 'mac': self.WriteLn('%s: GYP_LIBTOOLFLAGS := $(LIBTOOLFLAGS_$(BUILDTYPE))' % QuoteSpaces(self.output_binary)) # Postbuild actions. Like actions, but implicitly depend on the target's # output. postbuilds = [] if self.flavor == 'mac': if target_postbuilds: postbuilds.append('$(TARGET_POSTBUILDS_$(BUILDTYPE))') postbuilds.extend( gyp.xcode_emulation.GetSpecPostbuildCommands(spec)) if postbuilds: # Envvars may be referenced by TARGET_POSTBUILDS_$(BUILDTYPE), # so we must output its definition first, since we declare variables # using ":=". self.WriteSortedXcodeEnv(self.output, self.GetSortedXcodePostbuildEnv()) for configname in target_postbuilds: self.WriteLn('%s: TARGET_POSTBUILDS_%s := %s' % (QuoteSpaces(self.output), configname, gyp.common.EncodePOSIXShellList(target_postbuilds[configname]))) # Postbuilds expect to be run in the gyp file's directory, so insert an # implicit postbuild to cd to there. postbuilds.insert(0, gyp.common.EncodePOSIXShellList(['cd', self.path])) for i in xrange(len(postbuilds)): if not postbuilds[i].startswith('$'): postbuilds[i] = EscapeShellArgument(postbuilds[i]) self.WriteLn('%s: builddir := $(abs_builddir)' % QuoteSpaces(self.output)) self.WriteLn('%s: POSTBUILDS := %s' % ( QuoteSpaces(self.output), ' '.join(postbuilds))) # A bundle directory depends on its dependencies such as bundle resources # and bundle binary. When all dependencies have been built, the bundle # needs to be packaged. if self.is_mac_bundle: # If the framework doesn't contain a binary, then nothing depends # on the actions -- make the framework depend on them directly too. self.WriteDependencyOnExtraOutputs(self.output, extra_outputs) # Bundle dependencies. Note that the code below adds actions to this # target, so if you move these two lines, move the lines below as well. self.WriteList(map(QuoteSpaces, bundle_deps), 'BUNDLE_DEPS') self.WriteLn('%s: $(BUNDLE_DEPS)' % QuoteSpaces(self.output)) # After the framework is built, package it. Needs to happen before # postbuilds, since postbuilds depend on this. if self.type in ('shared_library', 'loadable_module'): self.WriteLn('\t@$(call do_cmd,mac_package_framework,,,%s)' % self.xcode_settings.GetFrameworkVersion()) # Bundle postbuilds can depend on the whole bundle, so run them after # the bundle is packaged, not already after the bundle binary is done. if postbuilds: self.WriteLn('\t@$(call do_postbuilds)') postbuilds = [] # Don't write postbuilds for target's output. # Needed by test/mac/gyptest-rebuild.py. self.WriteLn('\t@true # No-op, used by tests') # Since this target depends on binary and resources which are in # nested subfolders, the framework directory will be older than # its dependencies usually. To prevent this rule from executing # on every build (expensive, especially with postbuilds), expliclity # update the time on the framework directory. self.WriteLn('\t@touch -c %s' % QuoteSpaces(self.output)) if postbuilds: assert not self.is_mac_bundle, ('Postbuilds for bundles should be done ' 'on the bundle, not the binary (target \'%s\')' % self.target) assert 'product_dir' not in spec, ('Postbuilds do not work with ' 'custom product_dir') if self.type == 'executable': self.WriteLn('%s: LD_INPUTS := %s' % ( QuoteSpaces(self.output_binary), ' '.join(map(QuoteSpaces, link_deps)))) if self.toolset == 'host' and self.flavor == 'android': self.WriteDoCmd([self.output_binary], link_deps, 'link_host', part_of_all, postbuilds=postbuilds) else: self.WriteDoCmd([self.output_binary], link_deps, 'link', part_of_all, postbuilds=postbuilds) elif self.type == 'static_library': for link_dep in link_deps: assert ' ' not in link_dep, ( "Spaces in alink input filenames not supported (%s)" % link_dep) if (self.flavor not in ('mac', 'openbsd', 'netbsd', 'win') and not self.is_standalone_static_library): self.WriteDoCmd([self.output_binary], link_deps, 'alink_thin', part_of_all, postbuilds=postbuilds) else: self.WriteDoCmd([self.output_binary], link_deps, 'alink', part_of_all, postbuilds=postbuilds) elif self.type == 'shared_library': self.WriteLn('%s: LD_INPUTS := %s' % ( QuoteSpaces(self.output_binary), ' '.join(map(QuoteSpaces, link_deps)))) self.WriteDoCmd([self.output_binary], link_deps, 'solink', part_of_all, postbuilds=postbuilds) elif self.type == 'loadable_module': for link_dep in link_deps: assert ' ' not in link_dep, ( "Spaces in module input filenames not supported (%s)" % link_dep) if self.toolset == 'host' and self.flavor == 'android': self.WriteDoCmd([self.output_binary], link_deps, 'solink_module_host', part_of_all, postbuilds=postbuilds) else: self.WriteDoCmd( [self.output_binary], link_deps, 'solink_module', part_of_all, postbuilds=postbuilds) elif self.type == 'none': # Write a stamp line. self.WriteDoCmd([self.output_binary], deps, 'touch', part_of_all, postbuilds=postbuilds) else: print "WARNING: no output for", self.type, target # Add an alias for each target (if there are any outputs). # Installable target aliases are created below. if ((self.output and self.output != self.target) and (self.type not in self._INSTALLABLE_TARGETS)): self.WriteMakeRule([self.target], [self.output], comment='Add target alias', phony = True) if part_of_all: self.WriteMakeRule(['all'], [self.target], comment = 'Add target alias to "all" target.', phony = True) # Add special-case rules for our installable targets. # 1) They need to install to the build dir or "product" dir. # 2) They get shortcuts for building (e.g. "make chrome"). # 3) They are part of "make all". if (self.type in self._INSTALLABLE_TARGETS or self.is_standalone_static_library): if self.type == 'shared_library': file_desc = 'shared library' elif self.type == 'static_library': file_desc = 'static library' else: file_desc = 'executable' install_path = self._InstallableTargetInstallPath() installable_deps = [self.output] if (self.flavor == 'mac' and not 'product_dir' in spec and self.toolset == 'target'): # On mac, products are created in install_path immediately. assert install_path == self.output, '%s != %s' % ( install_path, self.output) # Point the target alias to the final binary output. self.WriteMakeRule([self.target], [install_path], comment='Add target alias', phony = True) if install_path != self.output: assert not self.is_mac_bundle # See comment a few lines above. self.WriteDoCmd([install_path], [self.output], 'copy', comment = 'Copy this to the %s output path.' % file_desc, part_of_all=part_of_all) installable_deps.append(install_path) if self.output != self.alias and self.alias != self.target: self.WriteMakeRule([self.alias], installable_deps, comment = 'Short alias for building this %s.' % file_desc, phony = True) if part_of_all: self.WriteMakeRule(['all'], [install_path], comment = 'Add %s to "all" target.' % file_desc, phony = True) def WriteList(self, value_list, variable=None, prefix='', quoter=QuoteIfNecessary): """Write a variable definition that is a list of values. E.g. WriteList(['a','b'], 'foo', prefix='blah') writes out foo = blaha blahb but in a pretty-printed style. """ values = '' if value_list: value_list = [quoter(prefix + l) for l in value_list] values = ' \\\n\t' + ' \\\n\t'.join(value_list) self.fp.write('%s :=%s\n\n' % (variable, values)) def WriteDoCmd(self, outputs, inputs, command, part_of_all, comment=None, postbuilds=False): """Write a Makefile rule that uses do_cmd. This makes the outputs dependent on the command line that was run, as well as support the V= make command line flag. """ suffix = '' if postbuilds: assert ',' not in command suffix = ',,1' # Tell do_cmd to honor $POSTBUILDS self.WriteMakeRule(outputs, inputs, actions = ['$(call do_cmd,%s%s)' % (command, suffix)], comment = comment, command = command, force = True) # Add our outputs to the list of targets we read depfiles from. # all_deps is only used for deps file reading, and for deps files we replace # spaces with ? because escaping doesn't work with make's $(sort) and # other functions. outputs = [QuoteSpaces(o, SPACE_REPLACEMENT) for o in outputs] self.WriteLn('all_deps += %s' % ' '.join(outputs)) def WriteMakeRule(self, outputs, inputs, actions=None, comment=None, order_only=False, force=False, phony=False, command=None): """Write a Makefile rule, with some extra tricks. outputs: a list of outputs for the rule (note: this is not directly supported by make; see comments below) inputs: a list of inputs for the rule actions: a list of shell commands to run for the rule comment: a comment to put in the Makefile above the rule (also useful for making this Python script's code self-documenting) order_only: if true, makes the dependency order-only force: if true, include FORCE_DO_CMD as an order-only dep phony: if true, the rule does not actually generate the named output, the output is just a name to run the rule command: (optional) command name to generate unambiguous labels """ outputs = map(QuoteSpaces, outputs) inputs = map(QuoteSpaces, inputs) if comment: self.WriteLn('# ' + comment) if phony: self.WriteLn('.PHONY: ' + ' '.join(outputs)) if actions: self.WriteLn("%s: TOOLSET := $(TOOLSET)" % outputs[0]) force_append = ' FORCE_DO_CMD' if force else '' if order_only: # Order only rule: Just write a simple rule. # TODO(evanm): just make order_only a list of deps instead of this hack. self.WriteLn('%s: | %s%s' % (' '.join(outputs), ' '.join(inputs), force_append)) elif len(outputs) == 1: # Regular rule, one output: Just write a simple rule. self.WriteLn('%s: %s%s' % (outputs[0], ' '.join(inputs), force_append)) else: # Regular rule, more than one output: Multiple outputs are tricky in # make. We will write three rules: # - All outputs depend on an intermediate file. # - Make .INTERMEDIATE depend on the intermediate. # - The intermediate file depends on the inputs and executes the # actual command. # - The intermediate recipe will 'touch' the intermediate file. # - The multi-output rule will have an do-nothing recipe. # Hash the target name to avoid generating overlong filenames. cmddigest = hashlib.sha1(command if command else self.target).hexdigest() intermediate = "%s.intermediate" % (cmddigest) self.WriteLn('%s: %s' % (' '.join(outputs), intermediate)) self.WriteLn('\t%s' % '@:'); self.WriteLn('%s: %s' % ('.INTERMEDIATE', intermediate)) self.WriteLn('%s: %s%s' % (intermediate, ' '.join(inputs), force_append)) actions.insert(0, '$(call do_cmd,touch)') if actions: for action in actions: self.WriteLn('\t%s' % action) self.WriteLn() def WriteAndroidNdkModuleRule(self, module_name, all_sources, link_deps): """Write a set of LOCAL_XXX definitions for Android NDK. These variable definitions will be used by Android NDK but do nothing for non-Android applications. Arguments: module_name: Android NDK module name, which must be unique among all module names. all_sources: A list of source files (will be filtered by Compilable). link_deps: A list of link dependencies, which must be sorted in the order from dependencies to dependents. """ if self.type not in ('executable', 'shared_library', 'static_library'): return self.WriteLn('# Variable definitions for Android applications') self.WriteLn('include $(CLEAR_VARS)') self.WriteLn('LOCAL_MODULE := ' + module_name) self.WriteLn('LOCAL_CFLAGS := $(CFLAGS_$(BUILDTYPE)) ' '$(DEFS_$(BUILDTYPE)) ' # LOCAL_CFLAGS is applied to both of C and C++. There is # no way to specify $(CFLAGS_C_$(BUILDTYPE)) only for C # sources. '$(CFLAGS_C_$(BUILDTYPE)) ' # $(INCS_$(BUILDTYPE)) includes the prefix '-I' while # LOCAL_C_INCLUDES does not expect it. So put it in # LOCAL_CFLAGS. '$(INCS_$(BUILDTYPE))') # LOCAL_CXXFLAGS is obsolete and LOCAL_CPPFLAGS is preferred. self.WriteLn('LOCAL_CPPFLAGS := $(CFLAGS_CC_$(BUILDTYPE))') self.WriteLn('LOCAL_C_INCLUDES :=') self.WriteLn('LOCAL_LDLIBS := $(LDFLAGS_$(BUILDTYPE)) $(LIBS)') # Detect the C++ extension. cpp_ext = {'.cc': 0, '.cpp': 0, '.cxx': 0} default_cpp_ext = '.cpp' for filename in all_sources: ext = os.path.splitext(filename)[1] if ext in cpp_ext: cpp_ext[ext] += 1 if cpp_ext[ext] > cpp_ext[default_cpp_ext]: default_cpp_ext = ext self.WriteLn('LOCAL_CPP_EXTENSION := ' + default_cpp_ext) self.WriteList(map(self.Absolutify, filter(Compilable, all_sources)), 'LOCAL_SRC_FILES') # Filter out those which do not match prefix and suffix and produce # the resulting list without prefix and suffix. def DepsToModules(deps, prefix, suffix): modules = [] for filepath in deps: filename = os.path.basename(filepath) if filename.startswith(prefix) and filename.endswith(suffix): modules.append(filename[len(prefix):-len(suffix)]) return modules # Retrieve the default value of 'SHARED_LIB_SUFFIX' params = {'flavor': 'linux'} default_variables = {} CalculateVariables(default_variables, params) self.WriteList( DepsToModules(link_deps, generator_default_variables['SHARED_LIB_PREFIX'], default_variables['SHARED_LIB_SUFFIX']), 'LOCAL_SHARED_LIBRARIES') self.WriteList( DepsToModules(link_deps, generator_default_variables['STATIC_LIB_PREFIX'], generator_default_variables['STATIC_LIB_SUFFIX']), 'LOCAL_STATIC_LIBRARIES') if self.type == 'executable': self.WriteLn('include $(BUILD_EXECUTABLE)') elif self.type == 'shared_library': self.WriteLn('include $(BUILD_SHARED_LIBRARY)') elif self.type == 'static_library': self.WriteLn('include $(BUILD_STATIC_LIBRARY)') self.WriteLn() def WriteLn(self, text=''): self.fp.write(text + '\n') def GetSortedXcodeEnv(self, additional_settings=None): return gyp.xcode_emulation.GetSortedXcodeEnv( self.xcode_settings, "$(abs_builddir)", os.path.join("$(abs_srcdir)", self.path), "$(BUILDTYPE)", additional_settings) def GetSortedXcodePostbuildEnv(self): # CHROMIUM_STRIP_SAVE_FILE is a chromium-specific hack. # TODO(thakis): It would be nice to have some general mechanism instead. strip_save_file = self.xcode_settings.GetPerTargetSetting( 'CHROMIUM_STRIP_SAVE_FILE', '') # Even if strip_save_file is empty, explicitly write it. Else a postbuild # might pick up an export from an earlier target. return self.GetSortedXcodeEnv( additional_settings={'CHROMIUM_STRIP_SAVE_FILE': strip_save_file}) def WriteSortedXcodeEnv(self, target, env): for k, v in env: # For # foo := a\ b # the escaped space does the right thing. For # export foo := a\ b # it does not -- the backslash is written to the env as literal character. # So don't escape spaces in |env[k]|. self.WriteLn('%s: export %s := %s' % (QuoteSpaces(target), k, v)) def Objectify(self, path): """Convert a path to its output directory form.""" if '$(' in path: path = path.replace('$(obj)/', '$(obj).%s/$(TARGET)/' % self.toolset) if not '$(obj)' in path: path = '$(obj).%s/$(TARGET)/%s' % (self.toolset, path) return path def Pchify(self, path, lang): """Convert a prefix header path to its output directory form.""" path = self.Absolutify(path) if '$(' in path: path = path.replace('$(obj)/', '$(obj).%s/$(TARGET)/pch-%s' % (self.toolset, lang)) return path return '$(obj).%s/$(TARGET)/pch-%s/%s' % (self.toolset, lang, path) def Absolutify(self, path): """Convert a subdirectory-relative path into a base-relative path. Skips over paths that contain variables.""" if '$(' in path: # Don't call normpath in this case, as it might collapse the # path too aggressively if it features '..'. However it's still # important to strip trailing slashes. return path.rstrip('/') return os.path.normpath(os.path.join(self.path, path)) def ExpandInputRoot(self, template, expansion, dirname): if '%(INPUT_ROOT)s' not in template and '%(INPUT_DIRNAME)s' not in template: return template path = template % { 'INPUT_ROOT': expansion, 'INPUT_DIRNAME': dirname, } return path def _InstallableTargetInstallPath(self): """Returns the location of the final output for an installable target.""" # Xcode puts shared_library results into PRODUCT_DIR, and some gyp files # rely on this. Emulate this behavior for mac. if (self.type == 'shared_library' and (self.flavor != 'mac' or self.toolset != 'target')): # Install all shared libs into a common directory (per toolset) for # convenient access with LD_LIBRARY_PATH. return '$(builddir)/lib.%s/%s' % (self.toolset, self.alias) return '$(builddir)/' + self.alias def WriteAutoRegenerationRule(params, root_makefile, makefile_name, build_files): """Write the target to regenerate the Makefile.""" options = params['options'] build_files_args = [gyp.common.RelativePath(filename, options.toplevel_dir) for filename in params['build_files_arg']] gyp_binary = gyp.common.FixIfRelativePath(params['gyp_binary'], options.toplevel_dir) if not gyp_binary.startswith(os.sep): gyp_binary = os.path.join('.', gyp_binary) root_makefile.write( "quiet_cmd_regen_makefile = ACTION Regenerating $@\n" "cmd_regen_makefile = cd $(srcdir); %(cmd)s\n" "%(makefile_name)s: %(deps)s\n" "\t$(call do_cmd,regen_makefile)\n\n" % { 'makefile_name': makefile_name, 'deps': ' '.join(map(Sourceify, build_files)), 'cmd': gyp.common.EncodePOSIXShellList( [gyp_binary, '-fmake'] + gyp.RegenerateFlags(options) + build_files_args)}) def PerformBuild(data, configurations, params): options = params['options'] for config in configurations: arguments = ['make'] if options.toplevel_dir and options.toplevel_dir != '.': arguments += '-C', options.toplevel_dir arguments.append('BUILDTYPE=' + config) print 'Building [%s]: %s' % (config, arguments) subprocess.check_call(arguments) def GenerateOutput(target_list, target_dicts, data, params): options = params['options'] flavor = gyp.common.GetFlavor(params) generator_flags = params.get('generator_flags', {}) builddir_name = generator_flags.get('output_dir', 'out') android_ndk_version = generator_flags.get('android_ndk_version', None) default_target = generator_flags.get('default_target', 'all') def CalculateMakefilePath(build_file, base_name): """Determine where to write a Makefile for a given gyp file.""" # Paths in gyp files are relative to the .gyp file, but we want # paths relative to the source root for the master makefile. Grab # the path of the .gyp file as the base to relativize against. # E.g. "foo/bar" when we're constructing targets for "foo/bar/baz.gyp". base_path = gyp.common.RelativePath(os.path.dirname(build_file), options.depth) # We write the file in the base_path directory. output_file = os.path.join(options.depth, base_path, base_name) if options.generator_output: output_file = os.path.join( options.depth, options.generator_output, base_path, base_name) base_path = gyp.common.RelativePath(os.path.dirname(build_file), options.toplevel_dir) return base_path, output_file # TODO: search for the first non-'Default' target. This can go # away when we add verification that all targets have the # necessary configurations. default_configuration = None toolsets = set([target_dicts[target]['toolset'] for target in target_list]) for target in target_list: spec = target_dicts[target] if spec['default_configuration'] != 'Default': default_configuration = spec['default_configuration'] break if not default_configuration: default_configuration = 'Default' srcdir = '.' makefile_name = 'Makefile' + options.suffix makefile_path = os.path.join(options.toplevel_dir, makefile_name) if options.generator_output: global srcdir_prefix makefile_path = os.path.join( options.toplevel_dir, options.generator_output, makefile_name) srcdir = gyp.common.RelativePath(srcdir, options.generator_output) srcdir_prefix = '$(srcdir)/' flock_command= 'flock' copy_archive_arguments = '-af' header_params = { 'default_target': default_target, 'builddir': builddir_name, 'default_configuration': default_configuration, 'flock': flock_command, 'flock_index': 1, 'link_commands': LINK_COMMANDS_LINUX, 'extra_commands': '', 'srcdir': srcdir, 'copy_archive_args': copy_archive_arguments, } if flavor == 'mac': flock_command = './gyp-mac-tool flock' header_params.update({ 'flock': flock_command, 'flock_index': 2, 'link_commands': LINK_COMMANDS_MAC, 'extra_commands': SHARED_HEADER_MAC_COMMANDS, }) elif flavor == 'android': header_params.update({ 'link_commands': LINK_COMMANDS_ANDROID, }) elif flavor == 'solaris': header_params.update({ 'flock': './gyp-flock-tool flock', 'flock_index': 2, }) elif flavor == 'freebsd': # Note: OpenBSD has sysutils/flock. lockf seems to be FreeBSD specific. header_params.update({ 'flock': 'lockf', }) elif flavor == 'openbsd': copy_archive_arguments = '-pPRf' header_params.update({ 'copy_archive_args': copy_archive_arguments, }) elif flavor == 'aix': copy_archive_arguments = '-pPRf' header_params.update({ 'copy_archive_args': copy_archive_arguments, 'link_commands': LINK_COMMANDS_AIX, 'flock': './gyp-flock-tool flock', 'flock_index': 2, }) header_params.update({ 'CC.target': GetEnvironFallback(('CC_target', 'CC'), '$(CC)'), 'AR.target': GetEnvironFallback(('AR_target', 'AR'), '$(AR)'), 'CXX.target': GetEnvironFallback(('CXX_target', 'CXX'), '$(CXX)'), 'LINK.target': GetEnvironFallback(('LINK_target', 'LINK'), '$(LINK)'), 'CC.host': GetEnvironFallback(('CC_host', 'CC'), 'gcc'), 'AR.host': GetEnvironFallback(('AR_host', 'AR'), 'ar'), 'CXX.host': GetEnvironFallback(('CXX_host', 'CXX'), 'g++'), 'LINK.host': GetEnvironFallback(('LINK_host', 'LINK'), '$(CXX.host)'), }) build_file, _, _ = gyp.common.ParseQualifiedTarget(target_list[0]) make_global_settings_array = data[build_file].get('make_global_settings', []) wrappers = {} for key, value in make_global_settings_array: if key.endswith('_wrapper'): wrappers[key[:-len('_wrapper')]] = '$(abspath %s)' % value make_global_settings = '' for key, value in make_global_settings_array: if re.match('.*_wrapper', key): continue if value[0] != '$': value = '$(abspath %s)' % value wrapper = wrappers.get(key) if wrapper: value = '%s %s' % (wrapper, value) del wrappers[key] if key in ('CC', 'CC.host', 'CXX', 'CXX.host'): make_global_settings += ( 'ifneq (,$(filter $(origin %s), undefined default))\n' % key) # Let gyp-time envvars win over global settings. env_key = key.replace('.', '_') # CC.host -> CC_host if env_key in os.environ: value = os.environ[env_key] make_global_settings += ' %s = %s\n' % (key, value) make_global_settings += 'endif\n' else: make_global_settings += '%s ?= %s\n' % (key, value) # TODO(ukai): define cmd when only wrapper is specified in # make_global_settings. header_params['make_global_settings'] = make_global_settings gyp.common.EnsureDirExists(makefile_path) root_makefile = open(makefile_path, 'w') root_makefile.write(SHARED_HEADER % header_params) # Currently any versions have the same effect, but in future the behavior # could be different. if android_ndk_version: root_makefile.write( '# Define LOCAL_PATH for build of Android applications.\n' 'LOCAL_PATH := $(call my-dir)\n' '\n') for toolset in toolsets: root_makefile.write('TOOLSET := %s\n' % toolset) WriteRootHeaderSuffixRules(root_makefile) # Put build-time support tools next to the root Makefile. dest_path = os.path.dirname(makefile_path) gyp.common.CopyTool(flavor, dest_path) # Find the list of targets that derive from the gyp file(s) being built. needed_targets = set() for build_file in params['build_files']: for target in gyp.common.AllTargets(target_list, target_dicts, build_file): needed_targets.add(target) build_files = set() include_list = set() for qualified_target in target_list: build_file, target, toolset = gyp.common.ParseQualifiedTarget( qualified_target) this_make_global_settings = data[build_file].get('make_global_settings', []) assert make_global_settings_array == this_make_global_settings, ( "make_global_settings needs to be the same for all targets. %s vs. %s" % (this_make_global_settings, make_global_settings)) build_files.add(gyp.common.RelativePath(build_file, options.toplevel_dir)) included_files = data[build_file]['included_files'] for included_file in included_files: # The included_files entries are relative to the dir of the build file # that included them, so we have to undo that and then make them relative # to the root dir. relative_include_file = gyp.common.RelativePath( gyp.common.UnrelativePath(included_file, build_file), options.toplevel_dir) abs_include_file = os.path.abspath(relative_include_file) # If the include file is from the ~/.gyp dir, we should use absolute path # so that relocating the src dir doesn't break the path. if (params['home_dot_gyp'] and abs_include_file.startswith(params['home_dot_gyp'])): build_files.add(abs_include_file) else: build_files.add(relative_include_file) base_path, output_file = CalculateMakefilePath(build_file, target + '.' + toolset + options.suffix + '.mk') spec = target_dicts[qualified_target] configs = spec['configurations'] if flavor == 'mac': gyp.xcode_emulation.MergeGlobalXcodeSettingsToSpec(data[build_file], spec) writer = MakefileWriter(generator_flags, flavor) writer.Write(qualified_target, base_path, output_file, spec, configs, part_of_all=qualified_target in needed_targets) # Our root_makefile lives at the source root. Compute the relative path # from there to the output_file for including. mkfile_rel_path = gyp.common.RelativePath(output_file, os.path.dirname(makefile_path)) include_list.add(mkfile_rel_path) # Write out per-gyp (sub-project) Makefiles. depth_rel_path = gyp.common.RelativePath(options.depth, os.getcwd()) for build_file in build_files: # The paths in build_files were relativized above, so undo that before # testing against the non-relativized items in target_list and before # calculating the Makefile path. build_file = os.path.join(depth_rel_path, build_file) gyp_targets = [target_dicts[target]['target_name'] for target in target_list if target.startswith(build_file) and target in needed_targets] # Only generate Makefiles for gyp files with targets. if not gyp_targets: continue base_path, output_file = CalculateMakefilePath(build_file, os.path.splitext(os.path.basename(build_file))[0] + '.Makefile') makefile_rel_path = gyp.common.RelativePath(os.path.dirname(makefile_path), os.path.dirname(output_file)) writer.WriteSubMake(output_file, makefile_rel_path, gyp_targets, builddir_name) # Write out the sorted list of includes. root_makefile.write('\n') for include_file in sorted(include_list): # We wrap each .mk include in an if statement so users can tell make to # not load a file by setting NO_LOAD. The below make code says, only # load the .mk file if the .mk filename doesn't start with a token in # NO_LOAD. root_makefile.write( "ifeq ($(strip $(foreach prefix,$(NO_LOAD),\\\n" " $(findstring $(join ^,$(prefix)),\\\n" " $(join ^," + include_file + ")))),)\n") root_makefile.write(" include " + include_file + "\n") root_makefile.write("endif\n") root_makefile.write('\n') if (not generator_flags.get('standalone') and generator_flags.get('auto_regeneration', True)): WriteAutoRegenerationRule(params, root_makefile, makefile_name, build_files) root_makefile.write(SHARED_FOOTER) root_makefile.close()

false

true

f7f519d97459caf4f0fe25c34e9def15c1d06e1a

1,943

py

Python

analytics/purchases/urls.py

EDario333/minegocito

5dd0869fa2510bb8152f4a117f33b2a30bb6d69c

[ "MIT" ]

null

analytics/purchases/urls.py

EDario333/minegocito

5dd0869fa2510bb8152f4a117f33b2a30bb6d69c

[ "MIT" ]

null

analytics/purchases/urls.py

EDario333/minegocito

5dd0869fa2510bb8152f4a117f33b2a30bb6d69c

[ "MIT" ]

null

from django.conf.urls import url, include from . views import \ index, by_range, by_provider, by_user, \ by_product, by_brand, by_shop, \ advanced_cfg_by_range, \ advanced_cfg_by_providers, \ advanced_cfg_by_users, \ advanced_cfg_by_products, \ advanced_cfg_by_brands, \ advanced_cfg_by_shops, \ all_providers, all_users, all_products, all_brands, all_shops urlpatterns = [ url(r'^$', index, name='index-analytics-purchases'), url(r'^by-range/', by_range, name='analytics-purchases-by-range'), url(r'^by-provider/', by_provider, name='analytics-purchases-by-provider'), url(r'^all-providers/', all_providers, name='analytics-purchases-all-providers'), url(r'^by-user/', by_user, name='analytics-purchases-by-user'), url(r'^all-users/', all_users, name='analytics-purchases-all-users'), url(r'^by-product/', by_product, name='analytics-purchases-by-product'), url(r'^all-products/', all_products, name='analytics-purchases-all-products'), url(r'^by-brand/', by_brand, name='analytics-purchases-by-brand'), url(r'^all-brands/', all_brands, name='analytics-purchases-all-brands'), url(r'^by-shop/', by_shop, name='analytics-purchases-by-shop'), url(r'^all-shops/', all_shops, name='analytics-purchases-all-shops'), url(r'^advanced-cfg-by-range/', advanced_cfg_by_range, name='analytics-purchases-advanced-cfg-by-range'), url(r'^advanced-cfg-by-providers/', advanced_cfg_by_providers, name='analytics-purchases-advanced-cfg-by-providers'), url(r'^advanced-cfg-by-users/', advanced_cfg_by_users, name='analytics-purchases-advanced-cfg-by-users'), url(r'^advanced-cfg-by-products/', advanced_cfg_by_products, name='analytics-purchases-advanced-cfg-by-products'), url(r'^advanced-cfg-by-brands/', advanced_cfg_by_brands, name='analytics-purchases-advanced-cfg-by-brands'), url(r'^advanced-cfg-by-shops/', advanced_cfg_by_shops, name='analytics-purchases-advanced-cfg-by-shops'), ]

58.878788

120

0.739578

from django.conf.urls import url, include from . views import \ index, by_range, by_provider, by_user, \ by_product, by_brand, by_shop, \ advanced_cfg_by_range, \ advanced_cfg_by_providers, \ advanced_cfg_by_users, \ advanced_cfg_by_products, \ advanced_cfg_by_brands, \ advanced_cfg_by_shops, \ all_providers, all_users, all_products, all_brands, all_shops urlpatterns = [ url(r'^$', index, name='index-analytics-purchases'), url(r'^by-range/', by_range, name='analytics-purchases-by-range'), url(r'^by-provider/', by_provider, name='analytics-purchases-by-provider'), url(r'^all-providers/', all_providers, name='analytics-purchases-all-providers'), url(r'^by-user/', by_user, name='analytics-purchases-by-user'), url(r'^all-users/', all_users, name='analytics-purchases-all-users'), url(r'^by-product/', by_product, name='analytics-purchases-by-product'), url(r'^all-products/', all_products, name='analytics-purchases-all-products'), url(r'^by-brand/', by_brand, name='analytics-purchases-by-brand'), url(r'^all-brands/', all_brands, name='analytics-purchases-all-brands'), url(r'^by-shop/', by_shop, name='analytics-purchases-by-shop'), url(r'^all-shops/', all_shops, name='analytics-purchases-all-shops'), url(r'^advanced-cfg-by-range/', advanced_cfg_by_range, name='analytics-purchases-advanced-cfg-by-range'), url(r'^advanced-cfg-by-providers/', advanced_cfg_by_providers, name='analytics-purchases-advanced-cfg-by-providers'), url(r'^advanced-cfg-by-users/', advanced_cfg_by_users, name='analytics-purchases-advanced-cfg-by-users'), url(r'^advanced-cfg-by-products/', advanced_cfg_by_products, name='analytics-purchases-advanced-cfg-by-products'), url(r'^advanced-cfg-by-brands/', advanced_cfg_by_brands, name='analytics-purchases-advanced-cfg-by-brands'), url(r'^advanced-cfg-by-shops/', advanced_cfg_by_shops, name='analytics-purchases-advanced-cfg-by-shops'), ]

true

f7f51a6ffd5f73d3c3f5b88b393bc9296bb0bb62

1,207

py

Python

benchmarking/reporters/reporters.py

jspark1105/FAI-PEP

3cb14506bb7751d32e4507924d121357895af7d9

[ "Apache-2.0" ]

null

benchmarking/reporters/reporters.py

jspark1105/FAI-PEP

3cb14506bb7751d32e4507924d121357895af7d9

[ "Apache-2.0" ]

null

benchmarking/reporters/reporters.py

jspark1105/FAI-PEP

3cb14506bb7751d32e4507924d121357895af7d9

[ "Apache-2.0" ]

null

#!/usr/bin/env python ############################################################################## # Copyright 2017-present, Facebook, Inc. # All rights reserved. # # This source code is licensed under the license found in the # LICENSE file in the root directory of this source tree. ############################################################################## from utils.arg_parse import getArgs from .local_reporter.local_reporter import LocalReporter from .remote_reporter.remote_reporter import RemoteReporter from .simple_local_reporter.simple_local_reporter import SimpleLocalReporter from .screen_reporter.screen_reporter import ScreenReporter from .simple_screen_reporter.simple_screen_reporter import SimpleScreenReporter def getReporters(): reporters = [] if getArgs().local_reporter: reporters.append(LocalReporter()) if getArgs().simple_local_reporter: reporters.append(SimpleLocalReporter()) if getArgs().remote_reporter: reporters.append(RemoteReporter()) if getArgs().screen_reporter: reporters.append(ScreenReporter()) if getArgs().simple_screen_reporter: reporters.append(SimpleScreenReporter()) return reporters

37.71875

79

0.677713

true

f7f51aebbb12fac4c9b808a0c65fc0223382adba

1,304

py

Python

aulas/cores no terminal.py

EduardoPessanha/Git-Python

87aa10af09510469032732ed2c55d0d65eb4c1d6

[ "MIT" ]

null

aulas/cores no terminal.py

EduardoPessanha/Git-Python

87aa10af09510469032732ed2c55d0d65eb4c1d6

[ "MIT" ]

null

aulas/cores no terminal.py

EduardoPessanha/Git-Python

87aa10af09510469032732ed2c55d0d65eb4c1d6

[ "MIT" ]

null

def cor(tipo): if tipo == 0: tipo = '\033[m' elif tipo == 'br': tipo = '\033[1;30m' elif tipo == 'vm': tipo = '\033[1;31m' elif tipo == 'vd': tipo = '\033[1;32m' elif tipo == 'am': tipo = '\033[1;33m' elif tipo == 'az': tipo = '\033[1;34m' elif tipo == 'mg': tipo = '\033[1;35m' elif tipo == 'ci': tipo = '\033[1;36m' elif tipo == 'cz': tipo = '\033[1;37m' return tipo print('\n') print('\033[1;30;41m-=-' * 10, ' CORES NO TERMINAL ', '-=-' * 10, '\033[m') print(f""" \nPadrão ANSI - escape sequence \n \033[1mSTYLE TEXT BACKGROUND\033[m 0 = none 30 40 => {cor('br')}Branca{cor(0)} 1 = Bold 31 41 => {cor('vm')}Vermelho{cor(0)} 3 = Itálico 32 42 => {cor('vd')}Verde{cor(0)} 4 = Underline 33 43 => {cor('am')}Amarelo{cor(0)} 7 = Negative 34 44 => {cor('az')}Azul{cor(0)} 35 45 => {cor('mg')}Magenta (Roxo){cor(0)} 36 46 => {cor('ci')}Ciânico{cor(0)} 37 47 => {cor('cz')}Cinza{cor(0)} \033[1;7;30m sintaxe ->\O33[STYLE;TEXT;BACKGROUNDm -> Ex.: \O33[1;33;46m \033[m """)

33.435897

80

0.42408

def cor(tipo): if tipo == 0: tipo = '\033[m' elif tipo == 'br': tipo = '\033[1;30m' elif tipo == 'vm': tipo = '\033[1;31m' elif tipo == 'vd': tipo = '\033[1;32m' elif tipo == 'am': tipo = '\033[1;33m' elif tipo == 'az': tipo = '\033[1;34m' elif tipo == 'mg': tipo = '\033[1;35m' elif tipo == 'ci': tipo = '\033[1;36m' elif tipo == 'cz': tipo = '\033[1;37m' return tipo print('\n') print('\033[1;30;41m-=-' * 10, ' CORES NO TERMINAL ', '-=-' * 10, '\033[m') print(f""" \nPadrão ANSI - escape sequence \n \033[1mSTYLE TEXT BACKGROUND\033[m 0 = none 30 40 => {cor('br')}Branca{cor(0)} 1 = Bold 31 41 => {cor('vm')}Vermelho{cor(0)} 3 = Itálico 32 42 => {cor('vd')}Verde{cor(0)} 4 = Underline 33 43 => {cor('am')}Amarelo{cor(0)} 7 = Negative 34 44 => {cor('az')}Azul{cor(0)} 35 45 => {cor('mg')}Magenta (Roxo){cor(0)} 36 46 => {cor('ci')}Ciânico{cor(0)} 37 47 => {cor('cz')}Cinza{cor(0)} \033[1;7;30m sintaxe ->\O33[STYLE;TEXT;BACKGROUNDm -> Ex.: \O33[1;33;46m \033[m """)

true

f7f51d302e8028306249529141bb85502874acec

1,530

py

Python

openstack_dashboard/dashboards/project/trunks/panel.py

nicozhang/horizon

49df5cffd84b6d9da4e5926afd12e0a92737d740

[ "Apache-2.0" ]

1

2019-08-07T08:46:03.000Z

openstack_dashboard/dashboards/project/trunks/panel.py

nicozhang/horizon

49df5cffd84b6d9da4e5926afd12e0a92737d740

[ "Apache-2.0" ]

7

2017-06-26T14:34:33.000Z

2020-06-30T22:10:50.000Z

openstack_dashboard/dashboards/project/trunks/panel.py

yi-cloud/horizon-xg

827365753886025dc62fbfbed179ef719d313711

[ "Apache-2.0" ]

6

2015-05-25T00:31:26.000Z

2022-03-21T22:36:25.000Z

# Copyright 2017 Ericsson # # 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 in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. import logging from django.utils.translation import ugettext_lazy as _ import horizon from openstack_dashboard.api import neutron LOG = logging.getLogger(__name__) class Trunks(horizon.Panel): name = _("Trunks") slug = "trunks" permissions = ('openstack.services.network',) def allowed(self, context): request = context['request'] try: return ( super(Trunks, self).allowed(context) and request.user.has_perms(self.permissions) and neutron.is_extension_supported(request, extension_alias='trunk') ) except Exception: LOG.error("Call to list enabled services failed. This is likely " "due to a problem communicating with the Neutron " "endpoint. Trunks panel will not be displayed.") return False

34

78

0.645098

import logging from django.utils.translation import ugettext_lazy as _ import horizon from openstack_dashboard.api import neutron LOG = logging.getLogger(__name__) class Trunks(horizon.Panel): name = _("Trunks") slug = "trunks" permissions = ('openstack.services.network',) def allowed(self, context): request = context['request'] try: return ( super(Trunks, self).allowed(context) and request.user.has_perms(self.permissions) and neutron.is_extension_supported(request, extension_alias='trunk') ) except Exception: LOG.error("Call to list enabled services failed. This is likely " "due to a problem communicating with the Neutron " "endpoint. Trunks panel will not be displayed.") return False

true

f7f51dbddc4c746ce42cf8ce862580469596489f

1,325

py

Python

libs/traffic.py

adityashinde1506/deauth_sniper

37c5981abea9c2347c89ac4baae6f4f8b2a7a029

[ "MIT" ]

null

libs/traffic.py

adityashinde1506/deauth_sniper

37c5981abea9c2347c89ac4baae6f4f8b2a7a029

[ "MIT" ]

null

libs/traffic.py

adityashinde1506/deauth_sniper

37c5981abea9c2347c89ac4baae6f4f8b2a7a029

[ "MIT" ]

null

from scapy.all import * class Traffic: def __init__(self): pass def get_traffic_hexdump(self,packets): for packet in packets: while packet.payload: packet=packet.payload print(hexdump(packet)) def get_SSIDs(self,packets): APs=list() for packet in packets: SSID=None addr=None while packet: if type(packet)==type(Dot11()): addr=packet.addr3 elif type(packet)==type(Dot11Elt()): if packet.ID==0: SSID=packet.info if addr!=None and SSID!=None and (SSID,addr) not in APs: APs.append((SSID,addr)) packet=packet.payload return APs def get_connected_devices(self,packets,APmac): devices=list() for packet in packets: if packet.haslayer(Dot11): addrs=[packet.addr1,packet.addr2,packet.addr3,packet.addr4] if APmac in addrs: for addr in addrs: if addr not in devices and addr!=APmac and addr!="ff:ff:ff:ff:ff:ff": devices.append(addr) return devices def main(): pass if __name__=="__main__": main()

28.804348

93

0.513962

from scapy.all import * class Traffic: def __init__(self): pass def get_traffic_hexdump(self,packets): for packet in packets: while packet.payload: packet=packet.payload print(hexdump(packet)) def get_SSIDs(self,packets): APs=list() for packet in packets: SSID=None addr=None while packet: if type(packet)==type(Dot11()): addr=packet.addr3 elif type(packet)==type(Dot11Elt()): if packet.ID==0: SSID=packet.info if addr!=None and SSID!=None and (SSID,addr) not in APs: APs.append((SSID,addr)) packet=packet.payload return APs def get_connected_devices(self,packets,APmac): devices=list() for packet in packets: if packet.haslayer(Dot11): addrs=[packet.addr1,packet.addr2,packet.addr3,packet.addr4] if APmac in addrs: for addr in addrs: if addr not in devices and addr!=APmac and addr!="ff:ff:ff:ff:ff:ff": devices.append(addr) return devices def main(): pass if __name__=="__main__": main()

true

f7f51e914b94bab9be97ddaa8dbab867ae0dd0ce

12,898

py

Python

pythalesians_examples/markets/lighttimeseriesfactory_examples.py

qheuristics/pythalesians

fb017e0ff2305d64aab50c3c0ea349e0412559b1

[ "Apache-2.0" ]

5

2017-04-10T06:54:04.000Z

2021-11-22T00:11:23.000Z

pythalesians_examples/markets/lighttimeseriesfactory_examples.py

aopore/pythalesians

4c8ccd57ccf311a205a3a9a4c13c30c9e748636d

[ "Apache-2.0" ]

null

pythalesians_examples/markets/lighttimeseriesfactory_examples.py

aopore/pythalesians

4c8ccd57ccf311a205a3a9a4c13c30c9e748636d

[ "Apache-2.0" ]

6

2017-03-12T11:14:37.000Z

2021-01-26T10:50:43.000Z

__author__ = 'saeedamen' # Saeed Amen / saeed@thalesians.com # # Copyright 2015 Thalesians Ltd. - http//www.thalesians.com / @thalesians # # 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 in writing, software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # # See the License for the specific language governing permissions and limitations under the License. # """ lightimeseriesfactory_examples Gives several examples of how to download market data from external sources like Bloomberg using LightTimeSeriesFactory. Also uses PlotFactory to do basic plots. """ # for logging from pythalesians.util.loggermanager import LoggerManager # to download market data from pythalesians.market.requests.timeseriesrequest import TimeSeriesRequest from pythalesians.market.loaders.lighttimeseriesfactory import LightTimeSeriesFactory # for plotting graphs from pythalesians.graphics.graphs.plotfactory import PlotFactory from pythalesians.graphics.graphs.graphproperties import GraphProperties # for making elementary calculations on the time series from pythalesians.timeseries.calcs.timeseriescalcs import TimeSeriesCalcs if True: logger = LoggerManager().getLogger(__name__) import datetime # just change "False" to "True" to run any of the below examples ###### download daily data from Bloomberg for EUR/USD and GBP/USD spot and then plot if False: time_series_request = TimeSeriesRequest( start_date = "01 Jan 2014", # start date finish_date = datetime.date.today(), # finish date freq = 'daily', # daily data data_source = 'bloomberg', # use Bloomberg as data source tickers = ['EURUSD', # ticker (Thalesians) 'GBPUSD'], fields = ['close', 'high', 'low'], # which fields to download vendor_tickers = ['EURUSD BGN Curncy', # ticker (Bloomberg) 'GBPUSD BGN Curncy'], vendor_fields = ['PX_LAST', 'PX_HIGH', 'PX_LOW'], # which Bloomberg fields to download cache_algo = 'internet_load_return') # how to return data ltsf = LightTimeSeriesFactory() df = None df = ltsf.harvest_time_series(time_series_request) pf = PlotFactory() pf.plot_line_graph(df, adapter = 'pythalesians') ###### download event dates for non farm payrolls and then print if False: time_series_request = TimeSeriesRequest( start_date = "01 Jan 2014", # start date finish_date = datetime.date.today(), # finish date category = "events", freq = 'daily', # daily data data_source = 'bloomberg', # use Bloomberg as data source tickers = ['FOMC', 'NFP'], fields = ['release-date-time-full', 'release-dt', 'actual-release'], # which fields to download vendor_tickers = ['FDTR Index', 'NFP TCH Index'], # ticker (Bloomberg) vendor_fields = ['ECO_FUTURE_RELEASE_DATE_LIST', 'ECO_RELEASE_DT', 'ACTUAL_RELEASE'], # which Bloomberg fields to download cache_algo = 'internet_load_return') # how to return data ltsf = LightTimeSeriesFactory() df = None df = ltsf.harvest_time_series(time_series_request) print(df) ###### download daily data from Bloomberg for 30Y DE bonds and then plot if False: time_series_request = TimeSeriesRequest( start_date = "01 Jan 1990", # start date finish_date = datetime.date.today(), # finish date freq = 'daily', # daily data data_source = 'bloomberg', # use Bloomberg as data source tickers = ['DE 30Y Bond'], # ticker (Thalesians) fields = ['close', 'high', 'low', 'open'], # which fields to download vendor_tickers = ['UB1 Comdty'], # ticker (Bloomberg) vendor_fields = ['PX_LAST', 'PX_HIGH', 'PX_LOW', 'PX_OPEN'], # which Bloomberg fields to download cache_algo = 'internet_load_return') # how to return data ltsf = LightTimeSeriesFactory() df = None df = ltsf.harvest_time_series(time_series_request) pf = PlotFactory() pf.plot_line_graph(df, adapter = 'pythalesians') ###### download intraday data from Bloomberg for EUR/USD and GBP/USD spot and then plot if False: from datetime import timedelta start_date = datetime.datetime.utcnow() - timedelta(days=1) time_series_request = TimeSeriesRequest( start_date = start_date, # start date finish_date = datetime.datetime.utcnow(), # finish date freq = 'intraday', # intraday data data_source = 'bloomberg', # use Bloomberg as data source tickers = ['EURUSD', # ticker (Thalesians) 'GBPUSD', 'JPYUSD', 'AUDUSD'], fields = ['close'], # which fields to download vendor_tickers = ['EURUSD BGN Curncy', # ticker (Bloomberg) 'GBPUSD BGN Curncy', 'JPYUSD BGN Curncy', 'AUDUSD BGN Curncy'], vendor_fields = ['close'], # which Bloomberg fields to download cache_algo = 'internet_load_return') # how to return data ltsf = LightTimeSeriesFactory() df = ltsf.harvest_time_series(time_series_request) df.columns = [x.replace('.close', '') for x in df.columns.values] gp = GraphProperties() pf = PlotFactory() gp.source = 'Thalesians/BBG (created with PyThalesians Python library)' tsc = TimeSeriesCalcs() df = tsc.create_mult_index_from_prices(df) pf.plot_line_graph(df, adapter = 'pythalesians', gp = gp) ###### download daily data from Quandl (via FRED) for EUR/USD and GBP/USD spot and then plot if False: time_series_request = TimeSeriesRequest( start_date = "01 Jan 1970", # start date finish_date = datetime.date.today(), # finish date freq = 'daily', # daily data data_source = 'quandl', # use Quandl as data source tickers = ['EURUSD', # ticker (Thalesians) 'GBPUSD'], fields = ['close'], # which fields to download vendor_tickers = ['FRED/DEXUSEU', 'FRED/DEXUSUK'], # ticker (Quandl) vendor_fields = ['close'], # which Bloomberg fields to download cache_algo = 'internet_load_return') # how to return data ltsf = LightTimeSeriesFactory() df = ltsf.harvest_time_series(time_series_request) pf = PlotFactory() pf.plot_line_graph(df, adapter = 'pythalesians') ###### download CPI data from FRED if False: time_series_request = TimeSeriesRequest( start_date = "01 Jan 1970", # start date finish_date = datetime.date.today(), # finish date freq = 'daily', # daily data data_source = 'fred', # use FRED as data source tickers = ['US CPI YoY', 'EZ CPI YoY'], # ticker (Thalesians) fields = ['close'], # which fields to download vendor_tickers = ['CPIAUCSL', 'CP0000EZ17M086NEST'], # ticker (Yahoo) vendor_fields = ['Close'], # which Bloomberg fields to download cache_algo = 'internet_load_return') # how to return data ltsf = LightTimeSeriesFactory() df = ltsf.harvest_time_series(time_series_request) # calculate YoY data df = df / df.shift(12) - 1 pf = PlotFactory() pf.plot_line_graph(df, adapter = 'pythalesians') ###### download daily data from Yahoo for Apple and Citigroup stock and then plot if False: time_series_request = TimeSeriesRequest( start_date = "01 Jan 1970", # start date finish_date = datetime.date.today(), # finish date freq = 'daily', # daily data data_source = 'yahoo', # use Bloomberg as data source tickers = ['Apple', 'Citigroup'], # ticker (Thalesians) fields = ['close'], # which fields to download vendor_tickers = ['aapl', 'c'], # ticker (Yahoo) vendor_fields = ['Close'], # which Bloomberg fields to download cache_algo = 'internet_load_return') # how to return data ltsf = LightTimeSeriesFactory() df = ltsf.harvest_time_series(time_series_request) pf = PlotFactory() pf.plot_line_graph(df, adapter = 'pythalesians') # downloading historical tick data from Dukascopy broker for EUR/USD # (past month of data cannot be downloaded, hence cannot be used for live trading) if True: time_series_request = TimeSeriesRequest( start_date = "01 Jun 2015", # start date finish_date = "02 Jun 2015", # finish date freq = 'tick', # tick data data_source = 'dukascopy', # use dukascopy as data source tickers = ['EURUSD', 'GBPUSD'], # ticker (Thalesians) fields = ['bid', 'ask'], # which fields to download vendor_tickers = ['EURUSD', 'GBPUSD'], # ticker (Dukascopy) vendor_fields = ['bid', 'ask'], # which Dukascopy fields to download cache_algo = 'internet_load_return') # how to return data ltsf = LightTimeSeriesFactory() df = ltsf.harvest_time_series(time_series_request) gp = GraphProperties() gp.y_axis_2_series = ['GBPUSD.bid', 'GBPUSD.ask'] pf = PlotFactory() pf.plot_line_graph(df, adapter = 'pythalesians', gp = gp) ###### download daily data from Google for Apple and S&P500 ETF (and then rebase, before plotting) if False: time_series_request = TimeSeriesRequest( start_date = "01 Jan 1970", # start date finish_date = datetime.date.today(), # finish date freq = 'daily', # daily data data_source = 'google', # use Bloomberg as data source tickers = ['Apple', 'S&P500 ETF'], # ticker (Thalesians) fields = ['close'], # which fields to download vendor_tickers = ['aapl', 'spy'], # ticker (Google) vendor_fields = ['Close'], # which Bloomberg fields to download cache_algo = 'internet_load_return') # how to return data ltsf = LightTimeSeriesFactory() tsc = TimeSeriesCalcs() df = tsc.create_mult_index_from_prices(ltsf.harvest_time_series(time_series_request)) pf = PlotFactory() pf.plot_line_graph(df, adapter = 'pythalesians')

49.417625

140

0.530702

__author__ = 'saeedamen' from pythalesians.util.loggermanager import LoggerManager from pythalesians.market.requests.timeseriesrequest import TimeSeriesRequest from pythalesians.market.loaders.lighttimeseriesfactory import LightTimeSeriesFactory from pythalesians.graphics.graphs.plotfactory import PlotFactory from pythalesians.graphics.graphs.graphproperties import GraphProperties from pythalesians.timeseries.calcs.timeseriescalcs import TimeSeriesCalcs if True: logger = LoggerManager().getLogger(__name__) import datetime 'GBPUSD'], fields = ['close', 'high', 'low'], vendor_tickers = ['EURUSD BGN Curncy', 'GBPUSD BGN Curncy'], vendor_fields = ['PX_LAST', 'PX_HIGH', 'PX_LOW'], cache_algo = 'internet_load_return') ltsf = LightTimeSeriesFactory() df = None df = ltsf.harvest_time_series(time_series_request) pf = PlotFactory() pf.plot_line_graph(df, adapter = 'pythalesians') data_source = 'bloomberg', tickers = ['FOMC', 'NFP'], fields = ['release-date-time-full', 'release-dt', 'actual-release'], vendor_tickers = ['FDTR Index', 'NFP TCH Index'], vendor_fields = ['ECO_FUTURE_RELEASE_DATE_LIST', 'ECO_RELEASE_DT', 'ACTUAL_RELEASE'], cache_algo = 'internet_load_return') ltsf = LightTimeSeriesFactory() df = None df = ltsf.harvest_time_series(time_series_request) print(df) ers = ['DE 30Y Bond'], fields = ['close', 'high', 'low', 'open'], vendor_tickers = ['UB1 Comdty'], vendor_fields = ['PX_LAST', 'PX_HIGH', 'PX_LOW', 'PX_OPEN'], cache_algo = 'internet_load_return') ltsf = LightTimeSeriesFactory() df = None df = ltsf.harvest_time_series(time_series_request) pf = PlotFactory() pf.plot_line_graph(df, adapter = 'pythalesians') berg', tickers = ['EURUSD', 'GBPUSD', 'JPYUSD', 'AUDUSD'], fields = ['close'], vendor_tickers = ['EURUSD BGN Curncy', 'GBPUSD BGN Curncy', 'JPYUSD BGN Curncy', 'AUDUSD BGN Curncy'], vendor_fields = ['close'], cache_algo = 'internet_load_return') ltsf = LightTimeSeriesFactory() df = ltsf.harvest_time_series(time_series_request) df.columns = [x.replace('.close', '') for x in df.columns.values] gp = GraphProperties() pf = PlotFactory() gp.source = 'Thalesians/BBG (created with PyThalesians Python library)' tsc = TimeSeriesCalcs() df = tsc.create_mult_index_from_prices(df) pf.plot_line_graph(df, adapter = 'pythalesians', gp = gp) ields = ['close'], vendor_tickers = ['FRED/DEXUSEU', 'FRED/DEXUSUK'], vendor_fields = ['close'], cache_algo = 'internet_load_return') ltsf = LightTimeSeriesFactory() df = ltsf.harvest_time_series(time_series_request) pf = PlotFactory() pf.plot_line_graph(df, adapter = 'pythalesians') te = datetime.date.today(), freq = 'daily', data_source = 'fred', tickers = ['US CPI YoY', 'EZ CPI YoY'], fields = ['close'], vendor_tickers = ['CPIAUCSL', 'CP0000EZ17M086NEST'], vendor_fields = ['Close'], cache_algo = 'internet_load_return') ltsf = LightTimeSeriesFactory() df = ltsf.harvest_time_series(time_series_request) df = df / df.shift(12) - 1 pf = PlotFactory() pf.plot_line_graph(df, adapter = 'pythalesians') fields = ['close'], vendor_tickers = ['aapl', 'c'], vendor_fields = ['Close'], cache_algo = 'internet_load_return') ltsf = LightTimeSeriesFactory() df = ltsf.harvest_time_series(time_series_request) pf = PlotFactory() pf.plot_line_graph(df, adapter = 'pythalesians') if True: time_series_request = TimeSeriesRequest( start_date = "01 Jun 2015", finish_date = "02 Jun 2015", freq = 'tick', data_source = 'dukascopy', tickers = ['EURUSD', 'GBPUSD'], fields = ['bid', 'ask'], vendor_tickers = ['EURUSD', 'GBPUSD'], vendor_fields = ['bid', 'ask'], cache_algo = 'internet_load_return') ltsf = LightTimeSeriesFactory() df = ltsf.harvest_time_series(time_series_request) gp = GraphProperties() gp.y_axis_2_series = ['GBPUSD.bid', 'GBPUSD.ask'] pf = PlotFactory() pf.plot_line_graph(df, adapter = 'pythalesians', gp = gp) vendor_tickers = ['aapl', 'spy'], vendor_fields = ['Close'], cache_algo = 'internet_load_return') ltsf = LightTimeSeriesFactory() tsc = TimeSeriesCalcs() df = tsc.create_mult_index_from_prices(ltsf.harvest_time_series(time_series_request)) pf = PlotFactory() pf.plot_line_graph(df, adapter = 'pythalesians')

true

f7f520cafff80c11f4efc972bffb38390142fe48

498

py

Python

cryomem/test/BIVdata_old/convert.py

bebaek/cryomem

088fba2568d10451adda51a068c15c8c2a73d9ce

[ "MIT" ]

1

2018-09-16T12:29:04.000Z

cryomem/test/BIVdata_old/convert.py

bebaek/cryomem

088fba2568d10451adda51a068c15c8c2a73d9ce

[ "MIT" ]

null

cryomem/test/BIVdata_old/convert.py

bebaek/cryomem

088fba2568d10451adda51a068c15c8c2a73d9ce

[ "MIT" ]

null

"""Convert all cmtools oscilloscope datafiles to zip datafiles.""" from cryomem.common.datafile import conv_tdsbin from glob import glob import os.path import os datadir = "data" datafiles = sorted(glob(datadir + "/*.dat")) for df in datafiles: # make a new datafile root, ext = os.path.splitext(df) print("Datafiles converted to:", conv_tdsbin(df)) # remove old files for ext in [".dat", ".txt", ".osccfg"]: os.remove(root + ext) print("Removed", root + ext)

27.666667

66

0.668675

from cryomem.common.datafile import conv_tdsbin from glob import glob import os.path import os datadir = "data" datafiles = sorted(glob(datadir + "/*.dat")) for df in datafiles: root, ext = os.path.splitext(df) print("Datafiles converted to:", conv_tdsbin(df)) for ext in [".dat", ".txt", ".osccfg"]: os.remove(root + ext) print("Removed", root + ext)

true

f7f5226523ecf52dbde7b108382ac3a32d968028

22,523

py

Python

inverse_graphics/direct_pose_and_param_estimation/pose_head.py

gizatt/scene_generation

cd978b4fe8ac58983894db3fb93d625c85578dd6

[ "MIT" ]

5

2018-11-27T18:46:01.000Z

2020-09-06T19:59:12.000Z

inverse_graphics/direct_pose_and_param_estimation/pose_head.py

gizatt/scene_generation

cd978b4fe8ac58983894db3fb93d625c85578dd6

[ "MIT" ]

null

inverse_graphics/direct_pose_and_param_estimation/pose_head.py

gizatt/scene_generation

cd978b4fe8ac58983894db3fb93d625c85578dd6

[ "MIT" ]

null

import fvcore.nn.weight_init as weight_init import numpy as np import torch from detectron2.layers import Conv2d, ConvTranspose2d, cat, get_norm from detectron2.utils.events import get_event_storage from detectron2.utils.registry import Registry from torch import nn from torch.nn import functional as F from scene_generation.utils.torch_quaternion import ( quat2mat ) ROI_POSE_HEAD_REGISTRY = Registry("ROI_POSE_HEAD") @ROI_POSE_HEAD_REGISTRY.register() class RCNNPoseXyzHead(nn.Module): """ Takes an ROI an spits out estimates of the object XYZ pose. Operates by applying a number of convolutional + FC layers with a final soft classification output over a discretization of the pose xyz components. Layout is: conv layers --> FC layers --> N pose estimate bins --> final regression | | v v cross-entropy L1 loss loss """ def __init__(self, cfg, input_shape): super().__init__() # fmt: off num_conv = cfg.MODEL.ROI_POSE_XYZ_HEAD.NUM_CONV conv_dim = cfg.MODEL.ROI_POSE_XYZ_HEAD.CONV_DIM num_fc = cfg.MODEL.ROI_POSE_XYZ_HEAD.NUM_FC fc_dim = cfg.MODEL.ROI_POSE_XYZ_HEAD.FC_DIM norm = cfg.MODEL.ROI_POSE_XYZ_HEAD.NORM self.num_bins = cfg.MODEL.ROI_POSE_XYZ_HEAD.NUM_BINS self.xyz_bin_ranges = cfg.MODEL.ROI_POSE_XYZ_HEAD.XYZ_BIN_RANGES # fmt: on assert num_conv + num_fc > 0 self._output_size = (input_shape.channels, input_shape.height, input_shape.width) num_output_params = self.num_bins * 3 self.conv_norm_relus = [] for k in range(num_conv): conv = Conv2d( self._output_size[0], conv_dim, kernel_size=3, padding=1, bias=not norm, norm=get_norm(norm, conv_dim), activation=F.relu, ) self.add_module("conv{}".format(k + 1), conv) self.conv_norm_relus.append(conv) self._output_size = (conv_dim, self._output_size[1], self._output_size[2]) self.fcs = [] for k in range(num_fc): if k == 0: # Takes 3x3 calibrations, rotations, and Hinfs as input as well fc = nn.Linear(np.prod(self._output_size) + 27, fc_dim) self._output_size = fc_dim elif k < num_fc - 1: fc = nn.Linear(np.prod(self._output_size), fc_dim) self._output_size = fc_dim else: fc = nn.Linear(np.prod(self._output_size), num_output_params) self._output_size = num_output_params self.add_module("fc{}".format(k + 1), fc) self.fcs.append(fc) self._output_size = fc_dim # Temperature for softmax (gets exponentiated in the # forward pass to ensure it's always positive). self.log_T = torch.nn.Parameter(torch.log(torch.tensor([0.5]))) self.log_T.requires_grad = True # Pre-compute xyz bin centers xyz_bin_corners = [] xyz_bin_widths = [] for k in range(3): bottom, top = self.xyz_bin_ranges[k] xyz_bin_widths.append( (top - bottom) / (self.num_bins - 1) ) xyz_bin_corners.append( torch.linspace(bottom, top, steps=self.num_bins)) self.register_buffer("xyz_bin_corners", torch.stack(xyz_bin_corners)) self.register_buffer("xyz_bin_widths", torch.tensor(xyz_bin_widths)) for layer in self.conv_norm_relus: weight_init.c2_msra_fill(layer) for layer in self.fcs: weight_init.c2_xavier_fill(layer) def forward(self, x, Kcs, rotations, Hinfs): for layer in self.conv_norm_relus: x = layer(x) if x.dim() > 2: x = torch.flatten(x, start_dim=1) Kcs = torch.flatten(Kcs, start_dim=1) rotations = torch.flatten(rotations, start_dim=1) Hinfs = torch.flatten(Hinfs, start_dim=1) x = torch.cat([x, Kcs, rotations, Hinfs], dim=-1) if len(self.fcs): for layer in self.fcs: x = F.relu(layer(x)) x = x.reshape(x.shape[0], 3, self.num_bins) log_P = F.log_softmax(x / torch.exp(self.log_T), dim=-1) xyz_estimate = torch.sum(torch.exp(log_P) * self.xyz_bin_corners, dim=2) if self.training: get_event_storage().put_scalar("pose_xyz_log_T", self.log_T) return xyz_estimate, log_P def pose_xyz_rcnn_loss(self, pose_xyz_estimate, log_P, instances, loss_weight=1.0, loss_type="l1"): """ Compute the error between the estimated and actual pose. Args: pose_xyz_estimate (Tensor): A tensor of shape (B, 3) for batch size B. log_P (Tensor): A tensor of shape (B, 3, N_bins) for batch size B, and # of xyz bins N_bins. instances (list[Instances]): A list of N Instances, where N is the number of images in the batch. These instances are in 1:1 correspondence with the pose estimates. The ground-truth labels (class, box, mask, ...) associated with each instance are stored in fields. loss_weight (float): A float to multiply the loss with. loss_type (string): 'l1' or 'l2' Returns: xyz_pose_loss (Tensor): A scalar tensor containing the loss. """ total_num_pose_estimates = pose_xyz_estimate.size(0) assert(pose_xyz_estimate.size(1) == 3) assert(log_P.size(0) == total_num_pose_estimates) assert(log_P.size(1) == 3) assert(log_P.size(2) == self.num_bins) # Gather up gt xyz poses from the list of Instances objects all_gt_pose_xyz = [] for instances_per_image in instances: if len(instances_per_image) == 0: continue all_gt_pose_xyz.append(instances_per_image.gt_pose_quatxyz[:, -3:].to(device=pose_xyz_estimate.device)) if len(all_gt_pose_xyz) == 0: return 0. all_gt_pose_xyz = cat(all_gt_pose_xyz, dim=0) assert all_gt_pose_xyz.numel() > 0, all_gt_pose_xyz.shape # Compute the bin index in which the ground truth xyz poses fall # by subtracting off the bin left boundaries and dividing by the bin widths distance_into_bins = all_gt_pose_xyz.detach() - self.xyz_bin_corners[:, 0] bin_indices = (distance_into_bins / self.xyz_bin_widths).floor() bin_indices = torch.clamp(bin_indices, 0, self.num_bins).long() active_log_probs = torch.stack( [log_P[k, range(3), bin_indices[k, :]] for k in range(total_num_pose_estimates)]) pose_loss = torch.mean(-active_log_probs) if loss_type == "l1": pose_loss = pose_loss + F.l1_loss( pose_xyz_estimate, all_gt_pose_xyz, reduction="mean" ) elif loss_type == "l2": pose_loss = pose_loss + F.mse_loss( pose_xyz_estimate, all_gt_pose_xyz, reduction="mean" ) else: raise NotImplementedError("Unrecognized loss type: ", loss_type) pose_loss = pose_loss * loss_weight return pose_loss @ROI_POSE_HEAD_REGISTRY.register() class RCNNPoseRpyHead(nn.Module): """ Takes an ROI an spits out estimates of the object pose RPY components. Operates by applying a number of convolutional + FC layers with a final soft classification output over a discretization of the pose rpy components. Layout is: conv layers --> FC layers --> N pose estimate bins --> final regression | | v v cross-entropy L1 loss loss RPY is treated differently than XYZ, as in the 3dRCNN paper (Kundu et al): XYZ is discretized over some range with loss taken directly, whereas RPY is discretized over the entire range [0, 2pi] with a complex loss that wraps around from 2pi to 0. """ def __init__(self, cfg, input_shape): super().__init__() # fmt: off num_conv = cfg.MODEL.ROI_POSE_RPY_HEAD.NUM_CONV conv_dim = cfg.MODEL.ROI_POSE_RPY_HEAD.CONV_DIM num_fc = cfg.MODEL.ROI_POSE_RPY_HEAD.NUM_FC fc_dim = cfg.MODEL.ROI_POSE_RPY_HEAD.FC_DIM norm = cfg.MODEL.ROI_POSE_RPY_HEAD.NORM self.num_bins = cfg.MODEL.ROI_POSE_RPY_HEAD.NUM_BINS # fmt: on assert num_conv + num_fc > 0 self._output_size = (input_shape.channels, input_shape.height, input_shape.width) num_output_params = self.num_bins * 3 self.conv_norm_relus = [] for k in range(num_conv): conv = Conv2d( self._output_size[0], conv_dim, kernel_size=3, padding=1, bias=not norm, norm=get_norm(norm, conv_dim), activation=F.relu, ) self.add_module("conv{}".format(k + 1), conv) self.conv_norm_relus.append(conv) self._output_size = (conv_dim, self._output_size[1], self._output_size[2]) self.fcs = [] for k in range(num_fc): if k == 0: # Takes 3x3 calibrations + Hinfs + rotmats as input as well fc = nn.Linear(np.prod(self._output_size) + 27, fc_dim) self._output_size = fc_dim elif k < num_fc - 1: fc = nn.Linear(np.prod(self._output_size), fc_dim) self._output_size = fc_dim else: fc = nn.Linear(np.prod(self._output_size), num_output_params) self._output_size = num_output_params self.add_module("fc{}".format(k + 1), fc) self.fcs.append(fc) self._output_size = fc_dim # Temperature for softmax (gets exponentiated in the # forward pass to ensure it's always positive). self.log_T = torch.nn.Parameter(torch.log(torch.tensor([0.5]))) self.log_T.requires_grad = True # Pre-compute rpy bin centers -- to make computing the complex # expectation easier, prepare the real + imaginary component of # the complex exponential of each bin center. rpy_bin_corners = [] rpy_bin_widths = [] for k in range(3): bottom, top = -np.pi, np.pi rpy_bin_widths.append( (top - bottom) / (self.num_bins - 1) ) rpy_bin_corners.append( torch.linspace(bottom, top, steps=self.num_bins)) rpy_bin_corners = torch.stack(rpy_bin_corners) self.register_buffer("rpy_bin_corners", rpy_bin_corners) self.register_buffer("rpy_bin_corners_real", torch.cos(rpy_bin_corners)) self.register_buffer("rpy_bin_corners_imag", torch.sin(rpy_bin_corners)) self.register_buffer("rpy_bin_widths", torch.tensor(rpy_bin_widths)) for layer in self.conv_norm_relus: weight_init.c2_msra_fill(layer) for layer in self.fcs: weight_init.c2_xavier_fill(layer) def forward(self, x, Kcs, rotations, Hinfs): for layer in self.conv_norm_relus: x = layer(x) if x.dim() > 2: x = torch.flatten(x, start_dim=1) Kcs = torch.flatten(Kcs, start_dim=1) rotations = torch.flatten(rotations, start_dim=1) Hinfs = torch.flatten(Hinfs, start_dim=1) x = torch.cat([x, Kcs, rotations, Hinfs], dim=-1) if len(self.fcs): for layer in self.fcs: x = F.relu(layer(x)) x = x.reshape(x.shape[0], 3, self.num_bins) log_P = F.log_softmax(x / torch.exp(self.log_T), dim=-1) # To get the estimate, take the *complex* expectation -- see # eq. (2) in the 3dRCNN paper. P = torch.exp(log_P) real_total = torch.sum(P * self.rpy_bin_corners_real, dim=2) imag_total = torch.sum(P * self.rpy_bin_corners_imag, dim=2) rpy_estimate = torch.atan2(imag_total, real_total) if self.training: get_event_storage().put_scalar("pose_rpy_log_T", self.log_T) return rpy_estimate, log_P def pose_rpy_rcnn_loss(self, pose_rpy_estimate, log_P, instances, loss_weight=1.0, loss_type="l1"): """ Compute the error between the estimated and actual pose. Args: pose_rpy_estimate (Tensor): A tensor of shape (B, 3) for batch size B. P (Tensor): A tensor of shape (B, 3, N_bins) for batch size B, and # of rpy bins N_bins. instances (list[Instances]): A list of N Instances, where N is the number of images in the batch. These instances are in 1:1 correspondence with the pose estimates. The ground-truth labels (class, box, mask, ...) associated with each instance are stored in fields. loss_weight (float): A float to multiply the loss with. loss_type (string): 'l1' or 'l2' Returns: rpy_pose_loss (Tensor): A scalar tensor containing the loss. """ total_num_pose_estimates = pose_rpy_estimate.size(0) assert(pose_rpy_estimate.size(1) == 3) assert(log_P.size(0) == total_num_pose_estimates) assert(log_P.size(1) == 3) assert(log_P.size(2) == self.num_bins) # Gather up gt rpy poses from the list of Instances objects all_gt_pose_rpy = [] for instances_per_image in instances: if len(instances_per_image) == 0: continue all_gt_pose_rpy.append(instances_per_image.gt_pose_rpy.to(device=pose_rpy_estimate.device)) if len(all_gt_pose_rpy) == 0: return 0. all_gt_pose_rpy = cat(all_gt_pose_rpy, dim=0) assert all_gt_pose_rpy.numel() > 0, all_gt_pose_rpy.shape # Compute the bin index in which the ground truth rpy poses fall # by subtracting off the bin left boundaries and dividing by the bin widths distance_into_bins = all_gt_pose_rpy.detach() - self.rpy_bin_corners[:, 0] bin_indices = (distance_into_bins / self.rpy_bin_widths).floor() bin_indices = torch.clamp(bin_indices, 0, self.num_bins).long() active_log_probs = torch.stack( [log_P[k, range(3), bin_indices[k, :]] for k in range(total_num_pose_estimates)]) pose_loss = torch.mean(-active_log_probs) # In either loss case, collapse among the minimum (elementwise) loss among # the original angle estimate, as well as the angle estimate rotated left # and right by 2pi. pose_loss_0 = torch.abs(pose_rpy_estimate - all_gt_pose_rpy) pose_loss_1 = torch.abs(pose_rpy_estimate + np.pi*2. - all_gt_pose_rpy) pose_loss_2 = torch.abs(pose_rpy_estimate - np.pi*2. - all_gt_pose_rpy) pose_loss_min, _ = torch.min(torch.stack([pose_loss_0, pose_loss_1, pose_loss_2], dim=0), dim=0) if loss_type == "l1": pose_loss = pose_loss + torch.mean(pose_loss_min) elif loss_type == "l2": pose_loss = pose_loss + torch.mean(pose_loss_min**2.) else: raise NotImplementedError("Unrecognized loss type: ", loss_type) pose_loss = pose_loss * loss_weight return pose_loss @ROI_POSE_HEAD_REGISTRY.register() class RCNNPose6DOFRotHead(nn.Module): """ Takes an ROI an spits out estimates of the object pose rotation estimate (in rotation matrix form). Operates by applying a number of convolutional + FC layers with that spit out a 6DOF overparameterized rotation format (following https://arxiv.org/pdf/1812.07035.pdf). Layout is: conv layers --> FC layers --> 6DOF representation -> postprocess into rotmat """ def __init__(self, cfg, input_shape): super().__init__() # fmt: off num_conv = cfg.MODEL.ROI_POSE_6DOF_ROT_HEAD.NUM_CONV conv_dim = cfg.MODEL.ROI_POSE_6DOF_ROT_HEAD.CONV_DIM num_fc = cfg.MODEL.ROI_POSE_6DOF_ROT_HEAD.NUM_FC fc_dim = cfg.MODEL.ROI_POSE_6DOF_ROT_HEAD.FC_DIM norm = cfg.MODEL.ROI_POSE_6DOF_ROT_HEAD.NORM # fmt: on assert num_conv + num_fc > 0 self._output_size = (input_shape.channels, input_shape.height, input_shape.width) num_output_params = 6 self.conv_norm_relus = [] for k in range(num_conv): conv = Conv2d( self._output_size[0], conv_dim, kernel_size=3, padding=1, bias=not norm, norm=get_norm(norm, conv_dim), activation=F.relu, ) self.add_module("conv{}".format(k + 1), conv) self.conv_norm_relus.append(conv) self._output_size = (conv_dim, self._output_size[1], self._output_size[2]) self.fcs = [] for k in range(num_fc): if k == 0: # Takes 3x3 calibrations + Hinfs + rotmats as input as well fc = nn.Linear(np.prod(self._output_size) + 27, fc_dim) self._output_size = fc_dim elif k < num_fc - 1: fc = nn.Linear(np.prod(self._output_size), fc_dim) self._output_size = fc_dim else: fc = nn.Linear(np.prod(self._output_size), num_output_params) self._output_size = num_output_params self.add_module("fc{}".format(k + 1), fc) self.fcs.append(fc) self._output_size = fc_dim for layer in self.conv_norm_relus: weight_init.c2_msra_fill(layer) for layer in self.fcs: weight_init.c2_xavier_fill(layer) def forward(self, x, Kcs, rotations, Hinfs): for layer in self.conv_norm_relus: x = layer(x) if x.dim() > 2: x = torch.flatten(x, start_dim=1) Kcs = torch.flatten(Kcs, start_dim=1) rotations = torch.flatten(rotations, start_dim=1) Hinfs = torch.flatten(Hinfs, start_dim=1) x = torch.cat([x, Kcs, rotations, Hinfs], dim=-1) if len(self.fcs): for layer in self.fcs: x = F.relu(layer(x)) x = x.reshape(x.shape[0], 2, 3) # We've predicted two 3-vectors -- normalize them # and form a rotation matrix from them referencing Appendix B # in https://arxiv.org/pdf/1812.07035.pdf a1 = x[:, 0, :] a2 = x[:, 1, :] b1 = F.normalize(a1, p=2, dim=1) # Sum is repeated out to [batch x 3] from [batch] so it # broadcast-multiplies with [batch x 3] b1 happily b2 = F.normalize(a2 - (torch.sum(b1*a2, dim=-1).view(-1, 1).expand(-1, 3)*b1), dim=1) b3 = torch.cross(b1, b2) R = torch.stack([b1, b2, b3], dim=-1) return R def pose_6DOF_rot_rcnn_loss(self, R_estimate, instances, loss_weight=1.0, loss_type="l1"): """ Compute the error between the estimated and actual pose. Args: R_estimate (Tensor): A tensor of shape (B, 3, 3) for batch size B. instances (list[Instances]): A list of N Instances, where N is the number of images in the batch. These instances are in 1:1 correspondence with the pose estimates. The ground-truth labels (class, box, mask, ...) associated with each instance are stored in fields. loss_weight (float): A float to multiply the loss with. loss_type (string): 'l1' or 'l2' Returns: loss (Tensor): A scalar tensor containing the loss. """ total_num_pose_estimates = R_estimate.size(0) assert(R_estimate.shape[-2:] == (3, 3)) # Gather up gt rotation matrices from the list of Instances objects all_gt_pose_quat = [] for instances_per_image in instances: if len(instances_per_image) == 0: continue all_gt_pose_quat.append(instances_per_image.gt_pose_quatxyz[:, :4].detach().to(device=R_estimate.device)) if len(all_gt_pose_quat) == 0: return 0. all_gt_pose_quat = cat(all_gt_pose_quat, dim=0) assert all_gt_pose_quat.numel() > 0, all_gt_pose_quat.shape all_gt_pose_rotmat = quat2mat(all_gt_pose_quat) # Get rotation difference between predicted and target diff_rotations = torch.matmul(all_gt_pose_rotmat, torch.transpose(R_estimate, 1, 2)).contiguous() # Batch trace implementation from torch_quaternion.py rotation_matrix_vec = diff_rotations.reshape(*diff_rotations.shape[:-2], 9) m00, m01, m02, m10, m11, m12, m20, m21, m22 = torch.chunk( rotation_matrix_vec, chunks=9, dim=-1) trace = m00 + m11 + m22 angle_errors = torch.acos(torch.clamp((trace - 1.)/2., -0.9999, 0.9999)) if loss_type == "l1": pose_loss = torch.mean(angle_errors) elif loss_type == "l2": pose_loss = torch.mean(angle_errors**2.) else: raise NotImplementedError("Unrecognized loss type: ", loss_type) pose_loss = pose_loss * loss_weight return pose_loss def build_pose_xyz_head(cfg, input_shape): name = cfg.MODEL.ROI_POSE_XYZ_HEAD.NAME return ROI_POSE_HEAD_REGISTRY.get(name)(cfg, input_shape) def build_pose_rpy_head(cfg, input_shape): name = cfg.MODEL.ROI_POSE_RPY_HEAD.NAME return ROI_POSE_HEAD_REGISTRY.get(name)(cfg, input_shape) def build_pose_6DOF_rot_head(cfg, input_shape): name = cfg.MODEL.ROI_POSE_6DOF_ROT_HEAD.NAME return ROI_POSE_HEAD_REGISTRY.get(name)(cfg, input_shape)

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import fvcore.nn.weight_init as weight_init import numpy as np import torch from detectron2.layers import Conv2d, ConvTranspose2d, cat, get_norm from detectron2.utils.events import get_event_storage from detectron2.utils.registry import Registry from torch import nn from torch.nn import functional as F from scene_generation.utils.torch_quaternion import ( quat2mat ) ROI_POSE_HEAD_REGISTRY = Registry("ROI_POSE_HEAD") @ROI_POSE_HEAD_REGISTRY.register() class RCNNPoseXyzHead(nn.Module): def __init__(self, cfg, input_shape): super().__init__() num_conv = cfg.MODEL.ROI_POSE_XYZ_HEAD.NUM_CONV conv_dim = cfg.MODEL.ROI_POSE_XYZ_HEAD.CONV_DIM num_fc = cfg.MODEL.ROI_POSE_XYZ_HEAD.NUM_FC fc_dim = cfg.MODEL.ROI_POSE_XYZ_HEAD.FC_DIM norm = cfg.MODEL.ROI_POSE_XYZ_HEAD.NORM self.num_bins = cfg.MODEL.ROI_POSE_XYZ_HEAD.NUM_BINS self.xyz_bin_ranges = cfg.MODEL.ROI_POSE_XYZ_HEAD.XYZ_BIN_RANGES assert num_conv + num_fc > 0 self._output_size = (input_shape.channels, input_shape.height, input_shape.width) num_output_params = self.num_bins * 3 self.conv_norm_relus = [] for k in range(num_conv): conv = Conv2d( self._output_size[0], conv_dim, kernel_size=3, padding=1, bias=not norm, norm=get_norm(norm, conv_dim), activation=F.relu, ) self.add_module("conv{}".format(k + 1), conv) self.conv_norm_relus.append(conv) self._output_size = (conv_dim, self._output_size[1], self._output_size[2]) self.fcs = [] for k in range(num_fc): if k == 0: fc = nn.Linear(np.prod(self._output_size) + 27, fc_dim) self._output_size = fc_dim elif k < num_fc - 1: fc = nn.Linear(np.prod(self._output_size), fc_dim) self._output_size = fc_dim else: fc = nn.Linear(np.prod(self._output_size), num_output_params) self._output_size = num_output_params self.add_module("fc{}".format(k + 1), fc) self.fcs.append(fc) self._output_size = fc_dim self.log_T = torch.nn.Parameter(torch.log(torch.tensor([0.5]))) self.log_T.requires_grad = True # Pre-compute xyz bin centers xyz_bin_corners = [] xyz_bin_widths = [] for k in range(3): bottom, top = self.xyz_bin_ranges[k] xyz_bin_widths.append( (top - bottom) / (self.num_bins - 1) ) xyz_bin_corners.append( torch.linspace(bottom, top, steps=self.num_bins)) self.register_buffer("xyz_bin_corners", torch.stack(xyz_bin_corners)) self.register_buffer("xyz_bin_widths", torch.tensor(xyz_bin_widths)) for layer in self.conv_norm_relus: weight_init.c2_msra_fill(layer) for layer in self.fcs: weight_init.c2_xavier_fill(layer) def forward(self, x, Kcs, rotations, Hinfs): for layer in self.conv_norm_relus: x = layer(x) if x.dim() > 2: x = torch.flatten(x, start_dim=1) Kcs = torch.flatten(Kcs, start_dim=1) rotations = torch.flatten(rotations, start_dim=1) Hinfs = torch.flatten(Hinfs, start_dim=1) x = torch.cat([x, Kcs, rotations, Hinfs], dim=-1) if len(self.fcs): for layer in self.fcs: x = F.relu(layer(x)) x = x.reshape(x.shape[0], 3, self.num_bins) log_P = F.log_softmax(x / torch.exp(self.log_T), dim=-1) xyz_estimate = torch.sum(torch.exp(log_P) * self.xyz_bin_corners, dim=2) if self.training: get_event_storage().put_scalar("pose_xyz_log_T", self.log_T) return xyz_estimate, log_P def pose_xyz_rcnn_loss(self, pose_xyz_estimate, log_P, instances, loss_weight=1.0, loss_type="l1"): total_num_pose_estimates = pose_xyz_estimate.size(0) assert(pose_xyz_estimate.size(1) == 3) assert(log_P.size(0) == total_num_pose_estimates) assert(log_P.size(1) == 3) assert(log_P.size(2) == self.num_bins) # Gather up gt xyz poses from the list of Instances objects all_gt_pose_xyz = [] for instances_per_image in instances: if len(instances_per_image) == 0: continue all_gt_pose_xyz.append(instances_per_image.gt_pose_quatxyz[:, -3:].to(device=pose_xyz_estimate.device)) if len(all_gt_pose_xyz) == 0: return 0. all_gt_pose_xyz = cat(all_gt_pose_xyz, dim=0) assert all_gt_pose_xyz.numel() > 0, all_gt_pose_xyz.shape # Compute the bin index in which the ground truth xyz poses fall # by subtracting off the bin left boundaries and dividing by the bin widths distance_into_bins = all_gt_pose_xyz.detach() - self.xyz_bin_corners[:, 0] bin_indices = (distance_into_bins / self.xyz_bin_widths).floor() bin_indices = torch.clamp(bin_indices, 0, self.num_bins).long() active_log_probs = torch.stack( [log_P[k, range(3), bin_indices[k, :]] for k in range(total_num_pose_estimates)]) pose_loss = torch.mean(-active_log_probs) if loss_type == "l1": pose_loss = pose_loss + F.l1_loss( pose_xyz_estimate, all_gt_pose_xyz, reduction="mean" ) elif loss_type == "l2": pose_loss = pose_loss + F.mse_loss( pose_xyz_estimate, all_gt_pose_xyz, reduction="mean" ) else: raise NotImplementedError("Unrecognized loss type: ", loss_type) pose_loss = pose_loss * loss_weight return pose_loss @ROI_POSE_HEAD_REGISTRY.register() class RCNNPoseRpyHead(nn.Module): def __init__(self, cfg, input_shape): super().__init__() # fmt: off num_conv = cfg.MODEL.ROI_POSE_RPY_HEAD.NUM_CONV conv_dim = cfg.MODEL.ROI_POSE_RPY_HEAD.CONV_DIM num_fc = cfg.MODEL.ROI_POSE_RPY_HEAD.NUM_FC fc_dim = cfg.MODEL.ROI_POSE_RPY_HEAD.FC_DIM norm = cfg.MODEL.ROI_POSE_RPY_HEAD.NORM self.num_bins = cfg.MODEL.ROI_POSE_RPY_HEAD.NUM_BINS # fmt: on assert num_conv + num_fc > 0 self._output_size = (input_shape.channels, input_shape.height, input_shape.width) num_output_params = self.num_bins * 3 self.conv_norm_relus = [] for k in range(num_conv): conv = Conv2d( self._output_size[0], conv_dim, kernel_size=3, padding=1, bias=not norm, norm=get_norm(norm, conv_dim), activation=F.relu, ) self.add_module("conv{}".format(k + 1), conv) self.conv_norm_relus.append(conv) self._output_size = (conv_dim, self._output_size[1], self._output_size[2]) self.fcs = [] for k in range(num_fc): if k == 0: # Takes 3x3 calibrations + Hinfs + rotmats as input as well fc = nn.Linear(np.prod(self._output_size) + 27, fc_dim) self._output_size = fc_dim elif k < num_fc - 1: fc = nn.Linear(np.prod(self._output_size), fc_dim) self._output_size = fc_dim else: fc = nn.Linear(np.prod(self._output_size), num_output_params) self._output_size = num_output_params self.add_module("fc{}".format(k + 1), fc) self.fcs.append(fc) self._output_size = fc_dim # Temperature for softmax (gets exponentiated in the # forward pass to ensure it's always positive). self.log_T = torch.nn.Parameter(torch.log(torch.tensor([0.5]))) self.log_T.requires_grad = True rpy_bin_corners = [] rpy_bin_widths = [] for k in range(3): bottom, top = -np.pi, np.pi rpy_bin_widths.append( (top - bottom) / (self.num_bins - 1) ) rpy_bin_corners.append( torch.linspace(bottom, top, steps=self.num_bins)) rpy_bin_corners = torch.stack(rpy_bin_corners) self.register_buffer("rpy_bin_corners", rpy_bin_corners) self.register_buffer("rpy_bin_corners_real", torch.cos(rpy_bin_corners)) self.register_buffer("rpy_bin_corners_imag", torch.sin(rpy_bin_corners)) self.register_buffer("rpy_bin_widths", torch.tensor(rpy_bin_widths)) for layer in self.conv_norm_relus: weight_init.c2_msra_fill(layer) for layer in self.fcs: weight_init.c2_xavier_fill(layer) def forward(self, x, Kcs, rotations, Hinfs): for layer in self.conv_norm_relus: x = layer(x) if x.dim() > 2: x = torch.flatten(x, start_dim=1) Kcs = torch.flatten(Kcs, start_dim=1) rotations = torch.flatten(rotations, start_dim=1) Hinfs = torch.flatten(Hinfs, start_dim=1) x = torch.cat([x, Kcs, rotations, Hinfs], dim=-1) if len(self.fcs): for layer in self.fcs: x = F.relu(layer(x)) x = x.reshape(x.shape[0], 3, self.num_bins) log_P = F.log_softmax(x / torch.exp(self.log_T), dim=-1) P = torch.exp(log_P) real_total = torch.sum(P * self.rpy_bin_corners_real, dim=2) imag_total = torch.sum(P * self.rpy_bin_corners_imag, dim=2) rpy_estimate = torch.atan2(imag_total, real_total) if self.training: get_event_storage().put_scalar("pose_rpy_log_T", self.log_T) return rpy_estimate, log_P def pose_rpy_rcnn_loss(self, pose_rpy_estimate, log_P, instances, loss_weight=1.0, loss_type="l1"): total_num_pose_estimates = pose_rpy_estimate.size(0) assert(pose_rpy_estimate.size(1) == 3) assert(log_P.size(0) == total_num_pose_estimates) assert(log_P.size(1) == 3) assert(log_P.size(2) == self.num_bins) all_gt_pose_rpy = [] for instances_per_image in instances: if len(instances_per_image) == 0: continue all_gt_pose_rpy.append(instances_per_image.gt_pose_rpy.to(device=pose_rpy_estimate.device)) if len(all_gt_pose_rpy) == 0: return 0. all_gt_pose_rpy = cat(all_gt_pose_rpy, dim=0) assert all_gt_pose_rpy.numel() > 0, all_gt_pose_rpy.shape distance_into_bins = all_gt_pose_rpy.detach() - self.rpy_bin_corners[:, 0] bin_indices = (distance_into_bins / self.rpy_bin_widths).floor() bin_indices = torch.clamp(bin_indices, 0, self.num_bins).long() active_log_probs = torch.stack( [log_P[k, range(3), bin_indices[k, :]] for k in range(total_num_pose_estimates)]) pose_loss = torch.mean(-active_log_probs) pose_loss_0 = torch.abs(pose_rpy_estimate - all_gt_pose_rpy) pose_loss_1 = torch.abs(pose_rpy_estimate + np.pi*2. - all_gt_pose_rpy) pose_loss_2 = torch.abs(pose_rpy_estimate - np.pi*2. - all_gt_pose_rpy) pose_loss_min, _ = torch.min(torch.stack([pose_loss_0, pose_loss_1, pose_loss_2], dim=0), dim=0) if loss_type == "l1": pose_loss = pose_loss + torch.mean(pose_loss_min) elif loss_type == "l2": pose_loss = pose_loss + torch.mean(pose_loss_min**2.) else: raise NotImplementedError("Unrecognized loss type: ", loss_type) pose_loss = pose_loss * loss_weight return pose_loss @ROI_POSE_HEAD_REGISTRY.register() class RCNNPose6DOFRotHead(nn.Module): def __init__(self, cfg, input_shape): super().__init__() num_conv = cfg.MODEL.ROI_POSE_6DOF_ROT_HEAD.NUM_CONV conv_dim = cfg.MODEL.ROI_POSE_6DOF_ROT_HEAD.CONV_DIM num_fc = cfg.MODEL.ROI_POSE_6DOF_ROT_HEAD.NUM_FC fc_dim = cfg.MODEL.ROI_POSE_6DOF_ROT_HEAD.FC_DIM norm = cfg.MODEL.ROI_POSE_6DOF_ROT_HEAD.NORM assert num_conv + num_fc > 0 self._output_size = (input_shape.channels, input_shape.height, input_shape.width) num_output_params = 6 self.conv_norm_relus = [] for k in range(num_conv): conv = Conv2d( self._output_size[0], conv_dim, kernel_size=3, padding=1, bias=not norm, norm=get_norm(norm, conv_dim), activation=F.relu, ) self.add_module("conv{}".format(k + 1), conv) self.conv_norm_relus.append(conv) self._output_size = (conv_dim, self._output_size[1], self._output_size[2]) self.fcs = [] for k in range(num_fc): if k == 0: fc = nn.Linear(np.prod(self._output_size) + 27, fc_dim) self._output_size = fc_dim elif k < num_fc - 1: fc = nn.Linear(np.prod(self._output_size), fc_dim) self._output_size = fc_dim else: fc = nn.Linear(np.prod(self._output_size), num_output_params) self._output_size = num_output_params self.add_module("fc{}".format(k + 1), fc) self.fcs.append(fc) self._output_size = fc_dim for layer in self.conv_norm_relus: weight_init.c2_msra_fill(layer) for layer in self.fcs: weight_init.c2_xavier_fill(layer) def forward(self, x, Kcs, rotations, Hinfs): for layer in self.conv_norm_relus: x = layer(x) if x.dim() > 2: x = torch.flatten(x, start_dim=1) Kcs = torch.flatten(Kcs, start_dim=1) rotations = torch.flatten(rotations, start_dim=1) Hinfs = torch.flatten(Hinfs, start_dim=1) x = torch.cat([x, Kcs, rotations, Hinfs], dim=-1) if len(self.fcs): for layer in self.fcs: x = F.relu(layer(x)) x = x.reshape(x.shape[0], 2, 3) # and form a rotation matrix from them referencing Appendix B # in https://arxiv.org/pdf/1812.07035.pdf a1 = x[:, 0, :] a2 = x[:, 1, :] b1 = F.normalize(a1, p=2, dim=1) # Sum is repeated out to [batch x 3] from [batch] so it # broadcast-multiplies with [batch x 3] b1 happily b2 = F.normalize(a2 - (torch.sum(b1*a2, dim=-1).view(-1, 1).expand(-1, 3)*b1), dim=1) b3 = torch.cross(b1, b2) R = torch.stack([b1, b2, b3], dim=-1) return R def pose_6DOF_rot_rcnn_loss(self, R_estimate, instances, loss_weight=1.0, loss_type="l1"): total_num_pose_estimates = R_estimate.size(0) assert(R_estimate.shape[-2:] == (3, 3)) # Gather up gt rotation matrices from the list of Instances objects all_gt_pose_quat = [] for instances_per_image in instances: if len(instances_per_image) == 0: continue all_gt_pose_quat.append(instances_per_image.gt_pose_quatxyz[:, :4].detach().to(device=R_estimate.device)) if len(all_gt_pose_quat) == 0: return 0. all_gt_pose_quat = cat(all_gt_pose_quat, dim=0) assert all_gt_pose_quat.numel() > 0, all_gt_pose_quat.shape all_gt_pose_rotmat = quat2mat(all_gt_pose_quat) # Get rotation difference between predicted and target diff_rotations = torch.matmul(all_gt_pose_rotmat, torch.transpose(R_estimate, 1, 2)).contiguous() # Batch trace implementation from torch_quaternion.py rotation_matrix_vec = diff_rotations.reshape(*diff_rotations.shape[:-2], 9) m00, m01, m02, m10, m11, m12, m20, m21, m22 = torch.chunk( rotation_matrix_vec, chunks=9, dim=-1) trace = m00 + m11 + m22 angle_errors = torch.acos(torch.clamp((trace - 1.)/2., -0.9999, 0.9999)) if loss_type == "l1": pose_loss = torch.mean(angle_errors) elif loss_type == "l2": pose_loss = torch.mean(angle_errors**2.) else: raise NotImplementedError("Unrecognized loss type: ", loss_type) pose_loss = pose_loss * loss_weight return pose_loss def build_pose_xyz_head(cfg, input_shape): name = cfg.MODEL.ROI_POSE_XYZ_HEAD.NAME return ROI_POSE_HEAD_REGISTRY.get(name)(cfg, input_shape) def build_pose_rpy_head(cfg, input_shape): name = cfg.MODEL.ROI_POSE_RPY_HEAD.NAME return ROI_POSE_HEAD_REGISTRY.get(name)(cfg, input_shape) def build_pose_6DOF_rot_head(cfg, input_shape): name = cfg.MODEL.ROI_POSE_6DOF_ROT_HEAD.NAME return ROI_POSE_HEAD_REGISTRY.get(name)(cfg, input_shape)

true

f7f522e7d04219b8aa9187b6b62f2db427ff3a4f

659

py

Python

Chapter02/read_xlsx.py

appleDev20/Automate-it

0660507c40fe08914beb893ec4b4990086a74238

[ "MIT" ]

28

2017-02-07T23:06:31.000Z

2021-12-22T17:43:39.000Z

Chapter02/read_xlsx.py

appleDev20/Automate-it

0660507c40fe08914beb893ec4b4990086a74238

[ "MIT" ]

null

Chapter02/read_xlsx.py

appleDev20/Automate-it

0660507c40fe08914beb893ec4b4990086a74238

[ "MIT" ]

20

2017-03-16T11:55:15.000Z

2022-02-08T10:00:46.000Z

#Get all the sheets from given workbook import openpyxl workbook = openpyxl.load_workbook('myxls.xlsx') print "Workbook Object:", workbook.get_sheet_names() #Get a particular sheet of the workbook people = workbook.get_sheet_by_name('People') print "People sheet object:", people #Get individual cell objects with cell name or #column/row combination import openpyxl workbook = openpyxl.load_workbook('myxls.xlsx') people = workbook.get_sheet_by_name('People') print "First cell Object:", people['A1'] print "Other Cell Object:", people.cell(row=3, column=2) #Read cell values from cell objects print "First Name:", people['B2'].value, people['C2'].value

31.380952

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import openpyxl workbook = openpyxl.load_workbook('myxls.xlsx') print "Workbook Object:", workbook.get_sheet_names() people = workbook.get_sheet_by_name('People') print "People sheet object:", people import openpyxl workbook = openpyxl.load_workbook('myxls.xlsx') people = workbook.get_sheet_by_name('People') print "First cell Object:", people['A1'] print "Other Cell Object:", people.cell(row=3, column=2) print "First Name:", people['B2'].value, people['C2'].value

false

true

f7f52318236841ed73bc75c4a26fa18362c0ed30

7,004

py

Python

fairness_teaching/rl/data.py

egonrian/google-research

8177adbe9ca0d7e5a9463b54581fe6dd27be0974

[ "Apache-2.0" ]

3

2021-01-18T04:46:49.000Z

2021-03-05T09:21:40.000Z

fairness_teaching/rl/data.py

Alfaxad/google-research

2c0043ecd507e75e2df9973a3015daf9253e1467

[ "Apache-2.0" ]

7

2021-11-10T19:44:38.000Z

2022-02-10T06:48:39.000Z

fairness_teaching/rl/data.py

Alfaxad/google-research

2c0043ecd507e75e2df9973a3015daf9253e1467

[ "Apache-2.0" ]

4

2021-02-08T10:25:45.000Z

2021-04-17T14:46:26.000Z

# coding=utf-8 # Copyright 2020 The Google Research 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 by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import os import numpy as np import tensorflow as tf # pylint: skip-file ATT_ID = {'5_o_Clock_Shadow': 0, 'Arched_Eyebrows': 1, 'Attractive': 2, 'Bags_Under_Eyes': 3, 'Bald': 4, 'Bangs': 5, 'Big_Lips': 6, 'Big_Nose': 7, 'Black_Hair': 8, 'Blond_Hair': 9, 'Blurry': 10, 'Brown_Hair': 11, 'Bushy_Eyebrows': 12, 'Chubby': 13, 'Double_Chin': 14, 'Eyeglasses': 15, 'Goatee': 16, 'Gray_Hair': 17, 'Heavy_Makeup': 18, 'High_Cheekbones': 19, 'Male': 20, 'Mouth_Slightly_Open': 21, 'Mustache': 22, 'Narrow_Eyes': 23, 'No_Beard': 24, 'Oval_Face': 25, 'Pale_Skin': 26, 'Pointy_Nose': 27, 'Receding_Hairline': 28, 'Rosy_Cheeks': 29, 'Sideburns': 30, 'Smiling': 31, 'Straight_Hair': 32, 'Wavy_Hair': 33, 'Wearing_Earrings': 34, 'Wearing_Hat': 35, 'Wearing_Lipstick': 36, 'Wearing_Necklace': 37, 'Wearing_Necktie': 38, 'Young': 39} ID_ATT = {v: k for k, v in ATT_ID.items()} CENTRAL_FRACTION = 0.89 LOAD_SIZE = 142 #286 CROP_SIZE = 128 #256 def cal_eo(a, y_label, y_pred): a = np.array(a) y_label = np.array(y_label) y_pred = np.array(y_pred) idx00 = np.logical_and(a==0,y_label==0) idx01 = np.logical_and(a==0,y_label==1) idx10 = np.logical_and(a==1,y_label==0) idx11 = np.logical_and(a==1,y_label==1) if y_pred[idx00].shape[0] ==0: d00=0.5 else: d00 = 1 - np.sum(y_pred[idx00])/y_pred[idx00].shape[0] if y_pred[idx01].shape[0] ==0: d01=0.5 else: d01 = np.sum(y_pred[idx01])/y_pred[idx01].shape[0] if y_pred[idx10].shape[0] ==0: d10=0.5 else: d10 = 1 - np.sum(y_pred[idx10])/y_pred[idx10].shape[0] if y_pred[idx11].shape[0] ==0: d11=0.5 else: d11 = np.sum(y_pred[idx11])/y_pred[idx11].shape[0] eo = np.abs(d00-d10)+np.abs(d01-d11) return (d00,d01,d10,d11,eo) def reorg(label_path,af,bf): img_names = np.genfromtxt(label_path, dtype=str, usecols=0) labels = np.genfromtxt(label_path, dtype=int, usecols=range(1, 41)) entry = np.concatenate((img_names[:, np.newaxis], labels), axis=1) a = np.asarray((labels[:,ATT_ID[af]]+1)//2) b = np.asarray((labels[:,ATT_ID[bf]]+1)//2) d00 = [] d01 = [] d10 = [] d11 = [] for i in range(labels.shape[0]): if a[i]==0: if b[i]==0: d00.append(entry[i]) elif b[i]==1: d01.append(entry[i]) elif a[i]==1: if b[i]==0: d10.append(entry[i]) elif b[i]==1: d11.append(entry[i]) min_leng = np.min([len(d00),len(d01),len(d10),len(d11)]) new_list = d00[:min_leng]+d01[:3*min_leng]+d10[:3*min_leng]+d11[:min_leng] # new_list = d00[:min_leng]+d01[:min_leng]+d10[:min_leng]+d11[:min_leng] return np.array(new_list) def load_train(image_path, label, att): image = tf.io.read_file(image_path) image = tf.image.decode_jpeg(image) image = tf.image.resize(image, [LOAD_SIZE, LOAD_SIZE]) image = tf.image.random_flip_left_right(image) image = tf.image.random_crop(image, [CROP_SIZE, CROP_SIZE, 3]) image = tf.clip_by_value(image, 0, 255) / 127.5 - 1 label = (label + 1) // 2 att = (att + 1) // 2 image = tf.cast(image, tf.float32) label = tf.cast(label, tf.int32) att = tf.cast(att, tf.int32) return (image, label, att) def load_test(image_path, label, att): image = tf.io.read_file(image_path) image = tf.image.decode_jpeg(image) image = tf.image.resize(image, [LOAD_SIZE, LOAD_SIZE]) image = tf.image.central_crop(image, CENTRAL_FRACTION) image = tf.clip_by_value(image, 0, 255) / 127.5 - 1 label = (label + 1) // 2 att = (att + 1) // 2 image = tf.cast(image, tf.float32) label = tf.cast(label, tf.int32) att = tf.cast(att, tf.int32) return (image, label, att) # load partial training dataset def data_train(image_path, label_path, batch_size): a = 'Male' b = 'Arched_Eyebrows' new_entry = reorg(label_path,a,b) n_examples = new_entry.shape[0] img_names = new_entry[:,0] img_paths = np.array([os.path.join(image_path, img_name) for img_name in img_names]) img_labels = new_entry[:,1:] labels = img_labels[:,ATT_ID['Arched_Eyebrows']].astype(int) att = img_labels[:,ATT_ID['Male']].astype(int) train_dataset = tf.data.Dataset.from_tensor_slices((img_paths, labels, att)) train_dataset = train_dataset.map(load_train, num_parallel_calls=tf.data.experimental.AUTOTUNE) train_dataset = train_dataset.shuffle(n_examples, seed=0) train_dataset = train_dataset.batch(batch_size, drop_remainder=True) train_dataset = train_dataset.repeat().prefetch(1) train_iter = train_dataset.make_one_shot_iterator() batch = train_iter.get_next() return batch, int(np.ceil(n_examples/batch_size)) # load entire training dataset # def data_train(image_path, label_path, batch_size): # img_names = np.genfromtxt(label_path, dtype=str, usecols=0) # img_paths = np.array([os.path.join(image_path, img_name) for img_name in img_names]) # img_labels = np.genfromtxt(label_path, dtype=int, usecols=range(1, 41)) # n_examples = img_names.shape[0] # labels = img_labels[:,ATT_ID['Arched_Eyebrows']] # att = img_labels[:,ATT_ID['Male']] # train_dataset = tf.data.Dataset.from_tensor_slices((img_paths, labels, att)) # train_dataset = train_dataset.map(load_train, num_parallel_calls=tf.data.experimental.AUTOTUNE) # train_dataset = train_dataset.shuffle(n_examples, seed=0) # train_dataset = train_dataset.batch(batch_size, drop_remainder=True) # train_dataset = train_dataset.repeat().prefetch(1) # train_iter = train_dataset.make_one_shot_iterator() # batch = train_iter.get_next() # return batch, int(np.ceil(n_examples/batch_size)) def data_test(image_path, label_path, batch_size): img_names = np.genfromtxt(label_path, dtype=str, usecols=0) img_paths = np.array([os.path.join(image_path, img_name) for img_name in img_names]) img_labels = np.genfromtxt(label_path, dtype=int, usecols=range(1, 41)) n_examples = img_names.shape[0] labels = img_labels[:,ATT_ID['Arched_Eyebrows']] att = img_labels[:,ATT_ID['Male']] test_dataset = tf.data.Dataset.from_tensor_slices((img_paths, labels, att)) test_dataset = test_dataset.map(load_test, num_parallel_calls=tf.data.experimental.AUTOTUNE) test_dataset = test_dataset.batch(batch_size, drop_remainder=False) test_dataset = test_dataset.repeat().prefetch(1) test_iter = test_dataset.make_one_shot_iterator() batch = test_iter.get_next() return batch, int(np.ceil(n_examples/batch_size))

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101

0.692461

import os import numpy as np import tensorflow as tf ATT_ID = {'5_o_Clock_Shadow': 0, 'Arched_Eyebrows': 1, 'Attractive': 2, 'Bags_Under_Eyes': 3, 'Bald': 4, 'Bangs': 5, 'Big_Lips': 6, 'Big_Nose': 7, 'Black_Hair': 8, 'Blond_Hair': 9, 'Blurry': 10, 'Brown_Hair': 11, 'Bushy_Eyebrows': 12, 'Chubby': 13, 'Double_Chin': 14, 'Eyeglasses': 15, 'Goatee': 16, 'Gray_Hair': 17, 'Heavy_Makeup': 18, 'High_Cheekbones': 19, 'Male': 20, 'Mouth_Slightly_Open': 21, 'Mustache': 22, 'Narrow_Eyes': 23, 'No_Beard': 24, 'Oval_Face': 25, 'Pale_Skin': 26, 'Pointy_Nose': 27, 'Receding_Hairline': 28, 'Rosy_Cheeks': 29, 'Sideburns': 30, 'Smiling': 31, 'Straight_Hair': 32, 'Wavy_Hair': 33, 'Wearing_Earrings': 34, 'Wearing_Hat': 35, 'Wearing_Lipstick': 36, 'Wearing_Necklace': 37, 'Wearing_Necktie': 38, 'Young': 39} ID_ATT = {v: k for k, v in ATT_ID.items()} CENTRAL_FRACTION = 0.89 LOAD_SIZE = 142 CROP_SIZE = 128 def cal_eo(a, y_label, y_pred): a = np.array(a) y_label = np.array(y_label) y_pred = np.array(y_pred) idx00 = np.logical_and(a==0,y_label==0) idx01 = np.logical_and(a==0,y_label==1) idx10 = np.logical_and(a==1,y_label==0) idx11 = np.logical_and(a==1,y_label==1) if y_pred[idx00].shape[0] ==0: d00=0.5 else: d00 = 1 - np.sum(y_pred[idx00])/y_pred[idx00].shape[0] if y_pred[idx01].shape[0] ==0: d01=0.5 else: d01 = np.sum(y_pred[idx01])/y_pred[idx01].shape[0] if y_pred[idx10].shape[0] ==0: d10=0.5 else: d10 = 1 - np.sum(y_pred[idx10])/y_pred[idx10].shape[0] if y_pred[idx11].shape[0] ==0: d11=0.5 else: d11 = np.sum(y_pred[idx11])/y_pred[idx11].shape[0] eo = np.abs(d00-d10)+np.abs(d01-d11) return (d00,d01,d10,d11,eo) def reorg(label_path,af,bf): img_names = np.genfromtxt(label_path, dtype=str, usecols=0) labels = np.genfromtxt(label_path, dtype=int, usecols=range(1, 41)) entry = np.concatenate((img_names[:, np.newaxis], labels), axis=1) a = np.asarray((labels[:,ATT_ID[af]]+1)//2) b = np.asarray((labels[:,ATT_ID[bf]]+1)//2) d00 = [] d01 = [] d10 = [] d11 = [] for i in range(labels.shape[0]): if a[i]==0: if b[i]==0: d00.append(entry[i]) elif b[i]==1: d01.append(entry[i]) elif a[i]==1: if b[i]==0: d10.append(entry[i]) elif b[i]==1: d11.append(entry[i]) min_leng = np.min([len(d00),len(d01),len(d10),len(d11)]) new_list = d00[:min_leng]+d01[:3*min_leng]+d10[:3*min_leng]+d11[:min_leng] return np.array(new_list) def load_train(image_path, label, att): image = tf.io.read_file(image_path) image = tf.image.decode_jpeg(image) image = tf.image.resize(image, [LOAD_SIZE, LOAD_SIZE]) image = tf.image.random_flip_left_right(image) image = tf.image.random_crop(image, [CROP_SIZE, CROP_SIZE, 3]) image = tf.clip_by_value(image, 0, 255) / 127.5 - 1 label = (label + 1) // 2 att = (att + 1) // 2 image = tf.cast(image, tf.float32) label = tf.cast(label, tf.int32) att = tf.cast(att, tf.int32) return (image, label, att) def load_test(image_path, label, att): image = tf.io.read_file(image_path) image = tf.image.decode_jpeg(image) image = tf.image.resize(image, [LOAD_SIZE, LOAD_SIZE]) image = tf.image.central_crop(image, CENTRAL_FRACTION) image = tf.clip_by_value(image, 0, 255) / 127.5 - 1 label = (label + 1) // 2 att = (att + 1) // 2 image = tf.cast(image, tf.float32) label = tf.cast(label, tf.int32) att = tf.cast(att, tf.int32) return (image, label, att) def data_train(image_path, label_path, batch_size): a = 'Male' b = 'Arched_Eyebrows' new_entry = reorg(label_path,a,b) n_examples = new_entry.shape[0] img_names = new_entry[:,0] img_paths = np.array([os.path.join(image_path, img_name) for img_name in img_names]) img_labels = new_entry[:,1:] labels = img_labels[:,ATT_ID['Arched_Eyebrows']].astype(int) att = img_labels[:,ATT_ID['Male']].astype(int) train_dataset = tf.data.Dataset.from_tensor_slices((img_paths, labels, att)) train_dataset = train_dataset.map(load_train, num_parallel_calls=tf.data.experimental.AUTOTUNE) train_dataset = train_dataset.shuffle(n_examples, seed=0) train_dataset = train_dataset.batch(batch_size, drop_remainder=True) train_dataset = train_dataset.repeat().prefetch(1) train_iter = train_dataset.make_one_shot_iterator() batch = train_iter.get_next() return batch, int(np.ceil(n_examples/batch_size)) def data_test(image_path, label_path, batch_size): img_names = np.genfromtxt(label_path, dtype=str, usecols=0) img_paths = np.array([os.path.join(image_path, img_name) for img_name in img_names]) img_labels = np.genfromtxt(label_path, dtype=int, usecols=range(1, 41)) n_examples = img_names.shape[0] labels = img_labels[:,ATT_ID['Arched_Eyebrows']] att = img_labels[:,ATT_ID['Male']] test_dataset = tf.data.Dataset.from_tensor_slices((img_paths, labels, att)) test_dataset = test_dataset.map(load_test, num_parallel_calls=tf.data.experimental.AUTOTUNE) test_dataset = test_dataset.batch(batch_size, drop_remainder=False) test_dataset = test_dataset.repeat().prefetch(1) test_iter = test_dataset.make_one_shot_iterator() batch = test_iter.get_next() return batch, int(np.ceil(n_examples/batch_size))

true

f7f523ac9f1afa44aabf532e7d1a87a7d213d0f8

15,418

py

Python

recording/record_calib_npy.py

chrelli/3DDD_social_mouse_tracker

291d2ed90029628dd65db0ce3e8972b721159a15

[ "Apache-2.0" ]

1

2022-02-10T07:26:09.000Z

recording/record_calib_npy.py

chrelli/3DDD_social_mouse_tracker

291d2ed90029628dd65db0ce3e8972b721159a15

[ "Apache-2.0" ]

1

2022-02-11T06:55:29.000Z

2022-02-12T22:26:44.000Z

recording/record_calib_npy.py

chrelli/3DDD_social_mouse_tracker

291d2ed90029628dd65db0ce3e8972b721159a15

[ "Apache-2.0" ]

null

#!/usr/bin/env python2 # -*- coding: utf-8 -*- """ Created on Fri Jan 12 15:36:15 2018 @author: chrelli added unix time stamps to the first camera! Ways to slim down the data: no unix time stamps? no color frame showing? - yes, helps a lot! no png compression? Totally fine at 30 fps! Majow to do list: - use arduino to synchronize? Yes, could send out synchronization time code to another unit: Problem: doesn't account for delay of arriving frames - use depth roi to slim down writing footprint - use LED roi to get blinking time stamps - ## with connected device cam from pyrealsense import offline offline.save_depth_intrinsics(dev) """ #%% Import the nescessary stuff # basic OS stuff import time, os, sys, shutil import json # for math and plotting import pandas as pd import numpy as np import scipy as sp import matplotlib.pyplot as plt # small utilities import csv from colour import Color from itertools import compress # for list selection with logical from tqdm import tqdm # for image manipulation import cv2 # for recording and connecting to the intel realsense librar #import pyrealsense as pyrs # add the realsense library sys.path.append(r'/usr/local/lib') # and load it! import pyrealsense2 as rs #import multiprocessing from multiprocessing import Process # import handy Functions from utils.common_utils import * from utils.recording_utils import * #%% Parse some inputs import argparse parser = argparse.ArgumentParser(description='Records cad and d images with no roi cut to disk. Also records timestamps and led traces using the auto LED mask. Currently, with no ROI, the program maxes out disk write speed around 45 fps.',formatter_class=argparse.ArgumentDefaultsHelpFormatter) parser.add_argument('--ncams', type=int, default = 4 , choices=[1,2,3,4], help='number of cameras to stream') parser.add_argument('--fps',type=int, default = 30 , choices=[30,60], help='select fps to stream') #parser.add_argument("--singlecore", help="disables mult.proc. for debugging on macbook, overrides ncams to 1", # action="store_true") parser.add_argument("--plots", help="shows the live video while recording", action="store_true") args = parser.parse_args() #%% Constants # frame_width,frame_height = 848,480 frame_width,frame_height = 640,480 fps_choice = args.fps # number of padding digits for the frame numbers n_padding_digits = 8 print('# cameras: '+str(args.ncams)) print('Frame size is '+str(frame_width)+'x'+str(frame_height)+' pixels.') print('Grabbing frames at '+str(fps_choice)+' fps') # get the current timestring timestr = time.strftime("%Y%m%d-%H%M%S") # reset the folder #data_folder = '/media/chrelli/Data0' #top_folder = data_folder + '/calibration_' + timestr #reset_folder_if_present(top_folder) # #top_folder_0 = top_folder #top_folder_1 = top_folder # reset the folders top_folder_0 = '/media/chrelli/Data0' + '/calibration_' + timestr top_folder_1 = '/media/chrelli/Data1' + '/calibration_' + timestr reset_folder_if_present(top_folder_0) reset_folder_if_present(top_folder_1) # also make the numpy folders npy_folder_0 = top_folder_0+'/npy_raw' npy_folder_1 = top_folder_1+'/npy_raw' reset_folder_if_present(npy_folder_0) reset_folder_if_present(npy_folder_1) #%% 8 bit color setup fps_color = (Color('White').rgb) ts_color = (Color('Peru').rgb) # convert to 8 bit color fps_color=tuple(255*x for x in fps_color) ts_color=tuple(255*x for x in ts_color) #%% Block for running # open the pyrealsense server #serv = pyrs.Service() # set the start time for the unix time stamp start_time = time.time() # open up a realsense context and get a list of the devices! ctx = rs.context() devices = [ctx.devices[i] for i in range(args.ncams)] # sort the devices by their serial numbers serials = [devices[i].get_info(rs.camera_info.serial_number) for i in range(args.ncams)] devices = [x for _,x in sorted(zip(serials,devices))] def sub_function_trick(which_device,top_folder): show_frames = args.plots #################### # # DEVICE SETUP BLOCK # ##################### # get the serial of that device device = devices[which_device] device_serial = device.get_info(rs.camera_info.serial_number) #set the preset advnc_mode = rs.rs400_advanced_mode(device) print("Advanced mode is", "enabled" if advnc_mode.is_enabled() else "disabled") # run like # advnc_mode.load_json(json_string) # load the preset here! preset_folder = '/home/chrelli/git/3d_sandbox/mycetrack0p8/presets/' if device_serial[:3] == '740': preset_name = 'master60pp' else: preset_name = 'slave60pp' jsonFile = preset_folder+preset_name+'.json' jsonObj = json.load(open(jsonFile)) json_string = str(jsonObj).replace("'", '\"') print("Configuration " + jsonFile + " loaded"); time.sleep(1.) advnc_mode.load_json(json_string) print("Configuration " + jsonFile + " applied!"); if device_serial[:3] == '740': # master targetSyncMode = 1 else: # slave targetSyncMode = 2 device.first_depth_sensor().set_option(rs.option.inter_cam_sync_mode, targetSyncMode) # first, open up a config config = rs.config() # then open a pipeline pipeline = rs.pipeline() # enable the selected device and streams # RGB SPACE HERE config.enable_device(device_serial); config.enable_stream(rs.stream.depth, frame_width,frame_height, rs.format.z16, fps_choice) # config.enable_stream(rs.stream.color, frame_width,frame_height, rs.format.rgb8, fps_choice) config.enable_stream(rs.stream.color, frame_width,frame_height, rs.format.rgb8, fps_choice) config.enable_stream(rs.stream.infrared,1, frame_width,frame_height, rs.format.y8, fps_choice) print("PING after enabling the sync mode is {}".format(device.first_depth_sensor().get_option(rs.option.inter_cam_sync_mode))) # Start streaming, call the stream 'cfg' for some reason, as pr example cfg = pipeline.start(config) # create an align object # alternative is to align to color, faster but less precise: align_to = rs.stream.color align_to = rs.stream.depth align = rs.align(align_to) print('dev '+str(which_device)+' serial is ' + device_serial) # Use the first three digits of the serial as a string to tag the device: device_tag = device_serial[0:3] if show_frames: # open a window for cv2 window_title = "dev"+str(which_device)+"(#" + device_tag + ")" cv2.namedWindow(window_title+'cad') # block for setting up a low-level fps estimation, cnt = 0 # a counter last = time.time() # start_time fps = 0 # initial fps value # save the camera intrinsics # Getting the depth sensor's depth scale (see rs-align example for explanation) depth_sensor = cfg.get_device().first_depth_sensor() depth_scale = depth_sensor.get_depth_scale() print ("Depth Scale is: " , depth_scale) # this is how to get the intrinsics profile = cfg.get_stream(rs.stream.depth) # Fetch stream profile for depth stream intr = profile.as_video_stream_profile().get_intrinsics() # Downcast to video_stream_profile #% now make file and save time stamps and depth scaling and intrinsics etc # use the old naming convention parameternames = np.array(['cam_params.fx', 'cam_params.fy', 'cam_params.ppx', 'cam_params.ppy', 'd_scale', 'fps_choice', 'frame_width', 'frame_height']) parameters = np.array([intr.fx, intr.fy, intr.ppx, intr.ppy, depth_scale, fps_choice, intr.width, intr.height]) # open a file for writint the parameters with open(top_folder+'/parameters_'+str(which_device)+'.csv','w') as intrfile: writer = csv.writer(intrfile, delimiter=',') writer.writerow(parameternames) writer.writerow(parameters) # load the automatic led mask from the constants folder! led_mask,led_logic,led_centroid = load_auto_roi(which_device) # open a file for time stamps tsfile = open(top_folder+'/timestamps_'+str(which_device)+'.csv','w') # ## HF try to open an HF file # import h5py # #TODO input from somewhere # hf = h5py.File(top_folder+'/dev'+str(which_device)+'_d_'+'.h5', 'w') # # also open one for the cad # hf_cad = h5py.File(top_folder+'/dev'+str(which_device)+'_cad_'+'.h5', 'w') # NPY ADDITION npy_folder = top_folder+'/npy_raw' # open a file for led stamps # ledsfile = open(top_folder+'/ledstamps_'+str(which_device)+'.csv','w') print('starting to stream from device '+str(which_device)+'!') # wait for a bit for the cam to warm up # and loop over 30 frames warmup_time = 2 # seconds warmup = 0 while warmup < fps_choice*warmup_time: frames = pipeline.wait_for_frames() warmup += 1 print('device '+str(which_device)+' is warmed up!') # START A CLOCK FOR THE FRAMES! FRAME_CLOCK = 0 try: while True: if show_frames: # for counting frame rate cnt += 1 if (cnt % 10) == 0: now = time.time() # after 10 frames dt = now - last # how long did it take? fps = 10/dt # calculate frame rate last = now # assign a new value to the 'last time' ################################# # # R E A D B L O C K # ################################# # Wait for a coherent pair of frames: depth and color frames = pipeline.wait_for_frames() # get the frame numbers and time stamps # ts = round(frames.get,2) ts = frames.get_timestamp() fn = frames.get_frame_number() # get the unix time stamp ts_unix = time.time()-start_time # run the alignment process aligned_frames = align.process(frames) depth_frame = aligned_frames.get_depth_frame() # aligned_depth_frame is a 640x480 depth image cad_frame = aligned_frames.get_color_frame() # also get one for the LED # depth_frame = frames.get_depth_frame() # color_frame = frames.get_color_frame() infrared_frame = frames.get_infrared_frame() # Convert images to numpy arrays depth = np.asanyarray(depth_frame.get_data()) cad = np.asanyarray(cad_frame.get_data()) c = np.asanyarray(infrared_frame.get_data()) # get the LED value, round it a bit, could be profiled led_stamp = c[led_centroid[1],led_centroid[0]] # this is the writing block for the csv file, frame number and time stamp! # tsfile.write(str(FRAME_CLOCK)+','+str(fn)+','+str(ts)+','+str(ts_unix)+','+str(single_pixel_RGB2GRAY(led_stamp))+'\n') tsfile.write(str(FRAME_CLOCK)+','+str(fn)+','+str(ts)+','+str(ts_unix)+','+str(led_stamp)+'\n') # this is the writing block for the csv file, frame number and time stamp! #TODO put led with the others in same file? # ledsfile.write(str(single_pixel_RGB2GRAY(led_stamp))+'\n') # write the depth frames to tiff (replace: send to queue) # cv2.imwrite(top_folder+'/dev'+str(which_device)+'_d_'+str(FRAME_CLOCK).rjust(n_padding_digits,'0')+'.png', depth) # cv2.imwrite(top_folder+'/dev'+str(which_device)+'_cad_'+str(FRAME_CLOCK).rjust(n_padding_digits,'0')+'.png', cad) # hf.create_dataset(str(FRAME_CLOCK), data=depth) # hf_cad.create_dataset(str(FRAME_CLOCK), data=cad) np.save(npy_folder+'/dev'+str(which_device)+'_d_'+str(FRAME_CLOCK).rjust(n_padding_digits,'0')+'.npy',depth, allow_pickle = False) np.save(npy_folder+'/dev'+str(which_device)+'_cad_'+str(FRAME_CLOCK).rjust(n_padding_digits,'0')+'.npy',cad, allow_pickle = False) # UPDATE CLOCK FRAME_CLOCK += 1 # if show_frames: # add text and show the CAD frames cv2.putText(cad, window_title+', fps: '+str(fps)[:4], (0, 50), cv2.FONT_HERSHEY_SIMPLEX, 2, fps_color) cv2.putText(cad, str(round(ts)), (0, frame_height-20), cv2.FONT_HERSHEY_SIMPLEX, 1, ts_color) cv2.imshow(window_title+'cad', cad) if cv2.waitKey(1) & 0xFF == ord('q'): # looks for a small q to nbe pressed # close the time stamp file tsfile.close # close the hf file # hf.close() # hf_cad.close() # ledsfile.close # stop the device pipeline.stop() print('pipeline from device '+str(which_device)+' is now closed!') break finally: tsfile.close # close the hf file # hf.close() # hf_cad.close() # stop the device pipeline.stop() print('pipeline from device '+str(which_device)+' is now closed!') #%% define helping funtions for the multiprocessing # these functions have to not be iterable. def read_device_0(): print('starting camera 1!') which_device = 0 top_folder = top_folder_0 sub_function_trick(which_device,top_folder) def read_device_1(): print('starting camera 2!') which_device = 1 top_folder = top_folder_0 sub_function_trick(which_device,top_folder) def read_device_2(): print('starting camera 3!') which_device = 2 top_folder = top_folder_1 sub_function_trick(which_device,top_folder) def read_device_3(): print('starting camera 4!') which_device = 3 top_folder = top_folder_1 sub_function_trick(which_device,top_folder) #%% run the processes on independent cores from multiprocessing import Process if __name__ == '__main__': if args.ncams == 4: print('starting 4 cams, with multiprocessing!') # start 4 worker processes Process(target=read_device_0).start() time.sleep(3.) Process(target=read_device_1).start() Process(target=read_device_2).start() Process(target=read_device_3).start() Process(target=blink_using_firmata_random).start() elif args.ncams == 3: print('starting 3 cams, with multiprocessing!') Process(target=read_device_0).start() Process(target=read_device_1).start() Process(target=read_device_2).start() Process(target=blink_using_firmata).start() elif args.ncams == 2: print('starting 2 cams, with multiprocessing!') Process(target=read_device_0).start() Process(target=read_device_1).start() Process(target=blink_using_firmata).start() elif args.ncams == 1: print('starting 1 cam, with multiprocessing!') Process(target=read_device_0).start() Process(target=blink_using_firmata).start()

32.527426

294

0.642626

import time, os, sys, shutil import json import pandas as pd import numpy as np import scipy as sp import matplotlib.pyplot as plt import csv from colour import Color from itertools import compress from tqdm import tqdm import cv2 sys.path.append(r'/usr/local/lib') import pyrealsense2 as rs from multiprocessing import Process from utils.common_utils import * from utils.recording_utils import * import argparse parser = argparse.ArgumentParser(description='Records cad and d images with no roi cut to disk. Also records timestamps and led traces using the auto LED mask. Currently, with no ROI, the program maxes out disk write speed around 45 fps.',formatter_class=argparse.ArgumentDefaultsHelpFormatter) parser.add_argument('--ncams', type=int, default = 4 , choices=[1,2,3,4], help='number of cameras to stream') parser.add_argument('--fps',type=int, default = 30 , choices=[30,60], help='select fps to stream') parser.add_argument("--plots", help="shows the live video while recording", action="store_true") args = parser.parse_args() frame_width,frame_height = 640,480 fps_choice = args.fps n_padding_digits = 8 print('# cameras: '+str(args.ncams)) print('Frame size is '+str(frame_width)+'x'+str(frame_height)+' pixels.') print('Grabbing frames at '+str(fps_choice)+' fps') timestr = time.strftime("%Y%m%d-%H%M%S") top_folder_0 = '/media/chrelli/Data0' + '/calibration_' + timestr top_folder_1 = '/media/chrelli/Data1' + '/calibration_' + timestr reset_folder_if_present(top_folder_0) reset_folder_if_present(top_folder_1) npy_folder_0 = top_folder_0+'/npy_raw' npy_folder_1 = top_folder_1+'/npy_raw' reset_folder_if_present(npy_folder_0) reset_folder_if_present(npy_folder_1) fps_color = (Color('White').rgb) ts_color = (Color('Peru').rgb) fps_color=tuple(255*x for x in fps_color) ts_color=tuple(255*x for x in ts_color) start_time = time.time() ctx = rs.context() devices = [ctx.devices[i] for i in range(args.ncams)] serials = [devices[i].get_info(rs.camera_info.serial_number) for i in range(args.ncams)] devices = [x for _,x in sorted(zip(serials,devices))] def sub_function_trick(which_device,top_folder): show_frames = args.plots reset_name = 'master60pp' else: preset_name = 'slave60pp' jsonFile = preset_folder+preset_name+'.json' jsonObj = json.load(open(jsonFile)) json_string = str(jsonObj).replace("'", '\"') print("Configuration " + jsonFile + " loaded"); time.sleep(1.) advnc_mode.load_json(json_string) print("Configuration " + jsonFile + " applied!"); if device_serial[:3] == '740': # master targetSyncMode = 1 else: # slave targetSyncMode = 2 device.first_depth_sensor().set_option(rs.option.inter_cam_sync_mode, targetSyncMode) # first, open up a config config = rs.config() # then open a pipeline pipeline = rs.pipeline() # enable the selected device and streams # RGB SPACE HERE config.enable_device(device_serial); config.enable_stream(rs.stream.depth, frame_width,frame_height, rs.format.z16, fps_choice) # config.enable_stream(rs.stream.color, frame_width,frame_height, rs.format.rgb8, fps_choice) config.enable_stream(rs.stream.color, frame_width,frame_height, rs.format.rgb8, fps_choice) config.enable_stream(rs.stream.infrared,1, frame_width,frame_height, rs.format.y8, fps_choice) print("PING after enabling the sync mode is {}".format(device.first_depth_sensor().get_option(rs.option.inter_cam_sync_mode))) # Start streaming, call the stream 'cfg' for some reason, as pr example cfg = pipeline.start(config) # create an align object # alternative is to align to color, faster but less precise: align_to = rs.stream.color align_to = rs.stream.depth align = rs.align(align_to) print('dev '+str(which_device)+' serial is ' + device_serial) # Use the first three digits of the serial as a string to tag the device: device_tag = device_serial[0:3] if show_frames: # open a window for cv2 window_title = "dev"+str(which_device)+"(#" + device_tag + ")" cv2.namedWindow(window_title+'cad') # block for setting up a low-level fps estimation, cnt = 0 # a counter last = time.time() # start_time fps = 0 # initial fps value # save the camera intrinsics # Getting the depth sensor's depth scale (see rs-align example for explanation) depth_sensor = cfg.get_device().first_depth_sensor() depth_scale = depth_sensor.get_depth_scale() print ("Depth Scale is: " , depth_scale) # this is how to get the intrinsics profile = cfg.get_stream(rs.stream.depth) # Fetch stream profile for depth stream intr = profile.as_video_stream_profile().get_intrinsics() # Downcast to video_stream_profile #% now make file and save time stamps and depth scaling and intrinsics etc # use the old naming convention parameternames = np.array(['cam_params.fx', 'cam_params.fy', 'cam_params.ppx', 'cam_params.ppy', 'd_scale', 'fps_choice', 'frame_width', 'frame_height']) parameters = np.array([intr.fx, intr.fy, intr.ppx, intr.ppy, depth_scale, fps_choice, intr.width, intr.height]) # open a file for writint the parameters with open(top_folder+'/parameters_'+str(which_device)+'.csv','w') as intrfile: writer = csv.writer(intrfile, delimiter=',') writer.writerow(parameternames) writer.writerow(parameters) # load the automatic led mask from the constants folder! led_mask,led_logic,led_centroid = load_auto_roi(which_device) # open a file for time stamps tsfile = open(top_folder+'/timestamps_'+str(which_device)+'.csv','w') # ## HF try to open an HF file # import h5py # #TODO input from somewhere # hf = h5py.File(top_folder+'/dev'+str(which_device)+'_d_'+'.h5', 'w') # # also open one for the cad # hf_cad = h5py.File(top_folder+'/dev'+str(which_device)+'_cad_'+'.h5', 'w') # NPY ADDITION npy_folder = top_folder+'/npy_raw' # open a file for led stamps # ledsfile = open(top_folder+'/ledstamps_'+str(which_device)+'.csv','w') print('starting to stream from device '+str(which_device)+'!') # wait for a bit for the cam to warm up # and loop over 30 frames warmup_time = 2 # seconds warmup = 0 while warmup < fps_choice*warmup_time: frames = pipeline.wait_for_frames() warmup += 1 print('device '+str(which_device)+' is warmed up!') # START A CLOCK FOR THE FRAMES! FRAME_CLOCK = 0 try: while True: if show_frames: # for counting frame rate cnt += 1 if (cnt % 10) == 0: now = time.time() # after 10 frames dt = now - last # how long did it take? fps = 10/dt # calculate frame rate last = now # assign a new value to the 'last time' ################################# # # R E A D B L O C K # ################################# # Wait for a coherent pair of frames: depth and color frames = pipeline.wait_for_frames() # get the frame numbers and time stamps # ts = round(frames.get,2) ts = frames.get_timestamp() fn = frames.get_frame_number() # get the unix time stamp ts_unix = time.time()-start_time # run the alignment process aligned_frames = align.process(frames) depth_frame = aligned_frames.get_depth_frame() # aligned_depth_frame is a 640x480 depth image cad_frame = aligned_frames.get_color_frame() # also get one for the LED # depth_frame = frames.get_depth_frame() # color_frame = frames.get_color_frame() infrared_frame = frames.get_infrared_frame() # Convert images to numpy arrays depth = np.asanyarray(depth_frame.get_data()) cad = np.asanyarray(cad_frame.get_data()) c = np.asanyarray(infrared_frame.get_data()) # get the LED value, round it a bit, could be profiled led_stamp = c[led_centroid[1],led_centroid[0]] # this is the writing block for the csv file, frame number and time stamp! # tsfile.write(str(FRAME_CLOCK)+','+str(fn)+','+str(ts)+','+str(ts_unix)+','+str(single_pixel_RGB2GRAY(led_stamp))+'\n') tsfile.write(str(FRAME_CLOCK)+','+str(fn)+','+str(ts)+','+str(ts_unix)+','+str(led_stamp)+'\n') # this is the writing block for the csv file, frame number and time stamp! #TODO put led with the others in same file? # ledsfile.write(str(single_pixel_RGB2GRAY(led_stamp))+'\n') # write the depth frames to tiff (replace: send to queue) # cv2.imwrite(top_folder+'/dev'+str(which_device)+'_d_'+str(FRAME_CLOCK).rjust(n_padding_digits,'0')+'.png', depth) # cv2.imwrite(top_folder+'/dev'+str(which_device)+'_cad_'+str(FRAME_CLOCK).rjust(n_padding_digits,'0')+'.png', cad) # hf.create_dataset(str(FRAME_CLOCK), data=depth) # hf_cad.create_dataset(str(FRAME_CLOCK), data=cad) np.save(npy_folder+'/dev'+str(which_device)+'_d_'+str(FRAME_CLOCK).rjust(n_padding_digits,'0')+'.npy',depth, allow_pickle = False) np.save(npy_folder+'/dev'+str(which_device)+'_cad_'+str(FRAME_CLOCK).rjust(n_padding_digits,'0')+'.npy',cad, allow_pickle = False) # UPDATE CLOCK FRAME_CLOCK += 1 # if show_frames: # add text and show the CAD frames cv2.putText(cad, window_title+', fps: '+str(fps)[:4], (0, 50), cv2.FONT_HERSHEY_SIMPLEX, 2, fps_color) cv2.putText(cad, str(round(ts)), (0, frame_height-20), cv2.FONT_HERSHEY_SIMPLEX, 1, ts_color) cv2.imshow(window_title+'cad', cad) if cv2.waitKey(1) & 0xFF == ord('q'): # looks for a small q to nbe pressed # close the time stamp file tsfile.close # close the hf file # hf.close() # hf_cad.close() # ledsfile.close # stop the device pipeline.stop() print('pipeline from device '+str(which_device)+' is now closed!') break finally: tsfile.close # close the hf file # hf.close() # hf_cad.close() # stop the device pipeline.stop() print('pipeline from device '+str(which_device)+' is now closed!') #%% define helping funtions for the multiprocessing # these functions have to not be iterable. def read_device_0(): print('starting camera 1!') which_device = 0 top_folder = top_folder_0 sub_function_trick(which_device,top_folder) def read_device_1(): print('starting camera 2!') which_device = 1 top_folder = top_folder_0 sub_function_trick(which_device,top_folder) def read_device_2(): print('starting camera 3!') which_device = 2 top_folder = top_folder_1 sub_function_trick(which_device,top_folder) def read_device_3(): print('starting camera 4!') which_device = 3 top_folder = top_folder_1 sub_function_trick(which_device,top_folder) #%% run the processes on independent cores from multiprocessing import Process if __name__ == '__main__': if args.ncams == 4: print('starting 4 cams, with multiprocessing!') # start 4 worker processes Process(target=read_device_0).start() time.sleep(3.) Process(target=read_device_1).start() Process(target=read_device_2).start() Process(target=read_device_3).start() Process(target=blink_using_firmata_random).start() elif args.ncams == 3: print('starting 3 cams, with multiprocessing!') Process(target=read_device_0).start() Process(target=read_device_1).start() Process(target=read_device_2).start() Process(target=blink_using_firmata).start() elif args.ncams == 2: print('starting 2 cams, with multiprocessing!') Process(target=read_device_0).start() Process(target=read_device_1).start() Process(target=blink_using_firmata).start() elif args.ncams == 1: print('starting 1 cam, with multiprocessing!') Process(target=read_device_0).start() Process(target=blink_using_firmata).start()

true

f7f52406b09fd253d3b6657d1872f60fa266def1

1,257

py

Python

rpsp/rpspnets/nn_diags.py

ahefnycmu/rpsp

ff3aa3e89a91bb4afb7bad932d2c04691a727a63

[ "Apache-2.0" ]

4

2019-11-03T12:04:47.000Z

2022-01-21T08:55:54.000Z

rpsp/rpspnets/nn_diags.py

ahefnycmu/rpsp

ff3aa3e89a91bb4afb7bad932d2c04691a727a63

[ "Apache-2.0" ]

null

rpsp/rpspnets/nn_diags.py

ahefnycmu/rpsp

ff3aa3e89a91bb4afb7bad932d2c04691a727a63

[ "Apache-2.0" ]

null

#!/usr/bin/env python2 # -*- coding: utf-8 -*- """ Created on Fri Sep 8 18:56:28 2017 @author: ahefny """ from __future__ import print_function import numpy as np import rpsp.globalconfig as globalconfig from rpsp.rpspnets.psr_lite.utils.nn import CallbackOp class PredictionError(Exception): def __init__(self, value): self.value = value def __str__(self): return repr(self.value) def dbg_nn_skip_update(X, condition, msg): def fn(x): if not condition(x): print ('Skip update: '+msg, sep='') raise PredictionError(0) return CallbackOp(fn)(X) def dbg_nn_raise_PredictionError(X, msg): def fn(x): errors = np.sum(np.abs(np.sum(x,axis=1))<1e-6) #print ('OUT: '+msg, errors, sep='') if errors > 10: print ('all zeros Error! Skip update: '+msg, errors, sep='') raise PredictionError(errors) return CallbackOp(fn)(X) def dbg_raise_BadPrediction(X, msg): def fn(x): #print ('pred cost: ',x) if x > globalconfig.vars.args.dbg_prederror: print (msg+' Skip update. high pred cost (>%f)'%globalconfig.vars.args.dbg_prederror, x, sep='') raise PredictionError(-1) return CallbackOp(fn)(X)

29.232558

108

0.626889

from __future__ import print_function import numpy as np import rpsp.globalconfig as globalconfig from rpsp.rpspnets.psr_lite.utils.nn import CallbackOp class PredictionError(Exception): def __init__(self, value): self.value = value def __str__(self): return repr(self.value) def dbg_nn_skip_update(X, condition, msg): def fn(x): if not condition(x): print ('Skip update: '+msg, sep='') raise PredictionError(0) return CallbackOp(fn)(X) def dbg_nn_raise_PredictionError(X, msg): def fn(x): errors = np.sum(np.abs(np.sum(x,axis=1))<1e-6) if errors > 10: print ('all zeros Error! Skip update: '+msg, errors, sep='') raise PredictionError(errors) return CallbackOp(fn)(X) def dbg_raise_BadPrediction(X, msg): def fn(x): if x > globalconfig.vars.args.dbg_prederror: print (msg+' Skip update. high pred cost (>%f)'%globalconfig.vars.args.dbg_prederror, x, sep='') raise PredictionError(-1) return CallbackOp(fn)(X)

true

f7f5251fbdc4b78a7c78b3453a0816e9f24cb0aa

566

py

Python

chapter4/Spark SQL UDF.py

xli1110/Spark

1a79c4e7ce39fb83581faeb5ced7c71495fe35f5

[ "MIT" ]

null

chapter4/Spark SQL UDF.py

xli1110/Spark

1a79c4e7ce39fb83581faeb5ced7c71495fe35f5

[ "MIT" ]

null

chapter4/Spark SQL UDF.py

xli1110/Spark

1a79c4e7ce39fb83581faeb5ced7c71495fe35f5

[ "MIT" ]

null

from pyspark.sql import SparkSession from pyspark.sql.types import LongType spark = (SparkSession .builder .appName("Spark_SQL_UDF") .getOrCreate()) # Create cubed function def cubed(s): return s * s * s # Register UDF spark.udf.register("cubed", cubed, LongType()) # Generate temporary view spark.range(1, 9).createOrReplaceTempView("udf_test") # Query spark.sql( """ SELECT * FROM udf_test """ ).show() spark.sql( """ SELECT id, cubed(id) AS id_cubed FROM udf_test """ ).show()

15.722222

53

0.618375

from pyspark.sql import SparkSession from pyspark.sql.types import LongType spark = (SparkSession .builder .appName("Spark_SQL_UDF") .getOrCreate()) def cubed(s): return s * s * s spark.udf.register("cubed", cubed, LongType()) spark.range(1, 9).createOrReplaceTempView("udf_test") spark.sql( """ SELECT * FROM udf_test """ ).show() spark.sql( """ SELECT id, cubed(id) AS id_cubed FROM udf_test """ ).show()

true

f7f5258a9e09f44f5e8b5e67a41ad597790af8c8

19,689

py

Python

test/functional/feature_backwards_compatibility.py

Garlic-HM/garliccoin

9eefb7a2a8c7cccfbc833756c7b16bc181473b6d

[ "MIT" ]

null

test/functional/feature_backwards_compatibility.py

Garlic-HM/garliccoin

9eefb7a2a8c7cccfbc833756c7b16bc181473b6d

[ "MIT" ]

null

test/functional/feature_backwards_compatibility.py

Garlic-HM/garliccoin

9eefb7a2a8c7cccfbc833756c7b16bc181473b6d

[ "MIT" ]

null

#!/usr/bin/env python3 # Copyright (c) 2018-2020 The Garliccoin Core developers # Distributed under the MIT software license, see the accompanying # file COPYING or http://www.opensource.org/licenses/mit-license.php. """Backwards compatibility functional test Test various backwards compatibility scenarios. Download the previous node binaries: test/get_previous_releases.py -b v0.19.1 v0.18.1 v0.17.2 v0.16.3 v0.15.2 v0.15.2 is not required by this test, but it is used in wallet_upgradewallet.py. Due to a hardfork in regtest, it can't be used to sync nodes. Due to RPC changes introduced in various versions the below tests won't work for older versions without some patches or workarounds. Use only the latest patch version of each release, unless a test specifically needs an older patch version. """ import os import shutil from test_framework.test_framework import GarliccoinTestFramework from test_framework.descriptors import descsum_create from test_framework.util import ( assert_equal, assert_raises_rpc_error, ) class BackwardsCompatibilityTest(GarliccoinTestFramework): def set_test_params(self): self.setup_clean_chain = True self.num_nodes = 6 # Add new version after each release: self.extra_args = [ ["-addresstype=bech32"], # Pre-release: use to mine blocks ["-nowallet", "-walletrbf=1", "-addresstype=bech32"], # Pre-release: use to receive coins, swap wallets, etc ["-nowallet", "-walletrbf=1", "-addresstype=bech32"], # v0.19.1 ["-nowallet", "-walletrbf=1", "-addresstype=bech32"], # v0.18.1 ["-nowallet", "-walletrbf=1", "-addresstype=bech32"], # v0.17.2 ["-nowallet", "-walletrbf=1", "-addresstype=bech32", "-wallet=wallet.dat"], # v0.16.3 ] self.wallet_names = [self.default_wallet_name] def skip_test_if_missing_module(self): self.skip_if_no_wallet() self.skip_if_no_previous_releases() def setup_nodes(self): self.add_nodes(self.num_nodes, extra_args=self.extra_args, versions=[ None, None, 190100, 180100, 170200, 160300, ]) self.start_nodes() self.import_deterministic_coinbase_privkeys() def run_test(self): self.nodes[0].generatetoaddress(101, self.nodes[0].getnewaddress()) self.sync_blocks() # Sanity check the test framework: res = self.nodes[self.num_nodes - 1].getblockchaininfo() assert_equal(res['blocks'], 101) node_master = self.nodes[self.num_nodes - 5] node_v19 = self.nodes[self.num_nodes - 4] node_v18 = self.nodes[self.num_nodes - 3] node_v17 = self.nodes[self.num_nodes - 2] node_v16 = self.nodes[self.num_nodes - 1] self.log.info("Test wallet backwards compatibility...") # Create a number of wallets and open them in older versions: # w1: regular wallet, created on master: update this test when default # wallets can no longer be opened by older versions. node_master.createwallet(wallet_name="w1") wallet = node_master.get_wallet_rpc("w1") info = wallet.getwalletinfo() assert info['private_keys_enabled'] assert info['keypoolsize'] > 0 # Create a confirmed transaction, receiving coins address = wallet.getnewaddress() self.nodes[0].sendtoaddress(address, 10) self.sync_mempools() self.nodes[0].generate(1) self.sync_blocks() # Create a conflicting transaction using RBF return_address = self.nodes[0].getnewaddress() tx1_id = self.nodes[1].sendtoaddress(return_address, 1) tx2_id = self.nodes[1].bumpfee(tx1_id)["txid"] # Confirm the transaction self.sync_mempools() self.nodes[0].generate(1) self.sync_blocks() # Create another conflicting transaction using RBF tx3_id = self.nodes[1].sendtoaddress(return_address, 1) tx4_id = self.nodes[1].bumpfee(tx3_id)["txid"] # Abandon transaction, but don't confirm self.nodes[1].abandontransaction(tx3_id) # w1_v19: regular wallet, created with v0.19 node_v19.rpc.createwallet(wallet_name="w1_v19") wallet = node_v19.get_wallet_rpc("w1_v19") info = wallet.getwalletinfo() assert info['private_keys_enabled'] assert info['keypoolsize'] > 0 # Use addmultisigaddress (see #18075) address_18075 = wallet.rpc.addmultisigaddress(1, ["0296b538e853519c726a2c91e61ec11600ae1390813a627c66fb8be7947be63c52", "037211a824f55b505228e4c3d5194c1fcfaa15a456abdf37f9b9d97a4040afc073"], "", "legacy")["address"] assert wallet.getaddressinfo(address_18075)["solvable"] # w1_v18: regular wallet, created with v0.18 node_v18.rpc.createwallet(wallet_name="w1_v18") wallet = node_v18.get_wallet_rpc("w1_v18") info = wallet.getwalletinfo() assert info['private_keys_enabled'] assert info['keypoolsize'] > 0 # w2: wallet with private keys disabled, created on master: update this # test when default wallets private keys disabled can no longer be # opened by older versions. node_master.createwallet(wallet_name="w2", disable_private_keys=True) wallet = node_master.get_wallet_rpc("w2") info = wallet.getwalletinfo() assert info['private_keys_enabled'] == False assert info['keypoolsize'] == 0 # w2_v19: wallet with private keys disabled, created with v0.19 node_v19.rpc.createwallet(wallet_name="w2_v19", disable_private_keys=True) wallet = node_v19.get_wallet_rpc("w2_v19") info = wallet.getwalletinfo() assert info['private_keys_enabled'] == False assert info['keypoolsize'] == 0 # w2_v18: wallet with private keys disabled, created with v0.18 node_v18.rpc.createwallet(wallet_name="w2_v18", disable_private_keys=True) wallet = node_v18.get_wallet_rpc("w2_v18") info = wallet.getwalletinfo() assert info['private_keys_enabled'] == False assert info['keypoolsize'] == 0 # w3: blank wallet, created on master: update this # test when default blank wallets can no longer be opened by older versions. node_master.createwallet(wallet_name="w3", blank=True) wallet = node_master.get_wallet_rpc("w3") info = wallet.getwalletinfo() assert info['private_keys_enabled'] assert info['keypoolsize'] == 0 # w3_v19: blank wallet, created with v0.19 node_v19.rpc.createwallet(wallet_name="w3_v19", blank=True) wallet = node_v19.get_wallet_rpc("w3_v19") info = wallet.getwalletinfo() assert info['private_keys_enabled'] assert info['keypoolsize'] == 0 # w3_v18: blank wallet, created with v0.18 node_v18.rpc.createwallet(wallet_name="w3_v18", blank=True) wallet = node_v18.get_wallet_rpc("w3_v18") info = wallet.getwalletinfo() assert info['private_keys_enabled'] assert info['keypoolsize'] == 0 # Copy the wallets to older nodes: node_master_wallets_dir = os.path.join(node_master.datadir, "regtest/wallets") node_v19_wallets_dir = os.path.join(node_v19.datadir, "regtest/wallets") node_v18_wallets_dir = os.path.join(node_v18.datadir, "regtest/wallets") node_v17_wallets_dir = os.path.join(node_v17.datadir, "regtest/wallets") node_v16_wallets_dir = os.path.join(node_v16.datadir, "regtest") node_master.unloadwallet("w1") node_master.unloadwallet("w2") node_v19.unloadwallet("w1_v19") node_v19.unloadwallet("w2_v19") node_v18.unloadwallet("w1_v18") node_v18.unloadwallet("w2_v18") # Copy wallets to v0.16 for wallet in os.listdir(node_master_wallets_dir): shutil.copytree( os.path.join(node_master_wallets_dir, wallet), os.path.join(node_v16_wallets_dir, wallet) ) # Copy wallets to v0.17 for wallet in os.listdir(node_master_wallets_dir): shutil.copytree( os.path.join(node_master_wallets_dir, wallet), os.path.join(node_v17_wallets_dir, wallet) ) for wallet in os.listdir(node_v18_wallets_dir): shutil.copytree( os.path.join(node_v18_wallets_dir, wallet), os.path.join(node_v17_wallets_dir, wallet) ) # Copy wallets to v0.18 for wallet in os.listdir(node_master_wallets_dir): shutil.copytree( os.path.join(node_master_wallets_dir, wallet), os.path.join(node_v18_wallets_dir, wallet) ) # Copy wallets to v0.19 for wallet in os.listdir(node_master_wallets_dir): shutil.copytree( os.path.join(node_master_wallets_dir, wallet), os.path.join(node_v19_wallets_dir, wallet) ) if not self.options.descriptors: # Descriptor wallets break compatibility, only run this test for legacy wallet # Open the wallets in v0.19 node_v19.loadwallet("w1") wallet = node_v19.get_wallet_rpc("w1") info = wallet.getwalletinfo() assert info['private_keys_enabled'] assert info['keypoolsize'] > 0 txs = wallet.listtransactions() assert_equal(len(txs), 5) assert_equal(txs[1]["txid"], tx1_id) assert_equal(txs[2]["walletconflicts"], [tx1_id]) assert_equal(txs[1]["replaced_by_txid"], tx2_id) assert not(txs[1]["abandoned"]) assert_equal(txs[1]["confirmations"], -1) assert_equal(txs[2]["blockindex"], 1) assert txs[3]["abandoned"] assert_equal(txs[4]["walletconflicts"], [tx3_id]) assert_equal(txs[3]["replaced_by_txid"], tx4_id) assert not(hasattr(txs[3], "blockindex")) node_v19.loadwallet("w2") wallet = node_v19.get_wallet_rpc("w2") info = wallet.getwalletinfo() assert info['private_keys_enabled'] == False assert info['keypoolsize'] == 0 node_v19.loadwallet("w3") wallet = node_v19.get_wallet_rpc("w3") info = wallet.getwalletinfo() assert info['private_keys_enabled'] assert info['keypoolsize'] == 0 # Open the wallets in v0.18 node_v18.loadwallet("w1") wallet = node_v18.get_wallet_rpc("w1") info = wallet.getwalletinfo() assert info['private_keys_enabled'] assert info['keypoolsize'] > 0 txs = wallet.listtransactions() assert_equal(len(txs), 5) assert_equal(txs[1]["txid"], tx1_id) assert_equal(txs[2]["walletconflicts"], [tx1_id]) assert_equal(txs[1]["replaced_by_txid"], tx2_id) assert not(txs[1]["abandoned"]) assert_equal(txs[1]["confirmations"], -1) assert_equal(txs[2]["blockindex"], 1) assert txs[3]["abandoned"] assert_equal(txs[4]["walletconflicts"], [tx3_id]) assert_equal(txs[3]["replaced_by_txid"], tx4_id) assert not(hasattr(txs[3], "blockindex")) node_v18.loadwallet("w2") wallet = node_v18.get_wallet_rpc("w2") info = wallet.getwalletinfo() assert info['private_keys_enabled'] == False assert info['keypoolsize'] == 0 node_v18.loadwallet("w3") wallet = node_v18.get_wallet_rpc("w3") info = wallet.getwalletinfo() assert info['private_keys_enabled'] assert info['keypoolsize'] == 0 node_v17.loadwallet("w1") wallet = node_v17.get_wallet_rpc("w1") info = wallet.getwalletinfo() assert info['private_keys_enabled'] assert info['keypoolsize'] > 0 node_v17.loadwallet("w2") wallet = node_v17.get_wallet_rpc("w2") info = wallet.getwalletinfo() assert info['private_keys_enabled'] == False assert info['keypoolsize'] == 0 else: # Descriptor wallets appear to be corrupted wallets to old software assert_raises_rpc_error(-4, "Wallet file verification failed: wallet.dat corrupt, salvage failed", node_v19.loadwallet, "w1") assert_raises_rpc_error(-4, "Wallet file verification failed: wallet.dat corrupt, salvage failed", node_v19.loadwallet, "w2") assert_raises_rpc_error(-4, "Wallet file verification failed: wallet.dat corrupt, salvage failed", node_v19.loadwallet, "w3") assert_raises_rpc_error(-4, "Wallet file verification failed: wallet.dat corrupt, salvage failed", node_v18.loadwallet, "w1") assert_raises_rpc_error(-4, "Wallet file verification failed: wallet.dat corrupt, salvage failed", node_v18.loadwallet, "w2") assert_raises_rpc_error(-4, "Wallet file verification failed: wallet.dat corrupt, salvage failed", node_v18.loadwallet, "w3") # Open the wallets in v0.17 node_v17.loadwallet("w1_v18") wallet = node_v17.get_wallet_rpc("w1_v18") info = wallet.getwalletinfo() assert info['private_keys_enabled'] assert info['keypoolsize'] > 0 node_v17.loadwallet("w2_v18") wallet = node_v17.get_wallet_rpc("w2_v18") info = wallet.getwalletinfo() assert info['private_keys_enabled'] == False assert info['keypoolsize'] == 0 # RPC loadwallet failure causes garliccoind to exit, in addition to the RPC # call failure, so the following test won't work: # assert_raises_rpc_error(-4, "Wallet loading failed.", node_v17.loadwallet, 'w3_v18') # Instead, we stop node and try to launch it with the wallet: self.stop_node(4) node_v17.assert_start_raises_init_error(["-wallet=w3_v18"], "Error: Error loading w3_v18: Wallet requires newer version of Garliccoin Core") if self.options.descriptors: # Descriptor wallets appear to be corrupted wallets to old software node_v17.assert_start_raises_init_error(["-wallet=w1"], "Error: wallet.dat corrupt, salvage failed") node_v17.assert_start_raises_init_error(["-wallet=w2"], "Error: wallet.dat corrupt, salvage failed") node_v17.assert_start_raises_init_error(["-wallet=w3"], "Error: wallet.dat corrupt, salvage failed") else: node_v17.assert_start_raises_init_error(["-wallet=w3"], "Error: Error loading w3: Wallet requires newer version of Garliccoin Core") self.start_node(4) if not self.options.descriptors: # Descriptor wallets break compatibility, only run this test for legacy wallets # Open most recent wallet in v0.16 (no loadwallet RPC) self.restart_node(5, extra_args=["-wallet=w2"]) wallet = node_v16.get_wallet_rpc("w2") info = wallet.getwalletinfo() assert info['keypoolsize'] == 1 # Create upgrade wallet in v0.16 self.restart_node(-1, extra_args=["-wallet=u1_v16"]) wallet = node_v16.get_wallet_rpc("u1_v16") v16_addr = wallet.getnewaddress('', "bech32") v16_info = wallet.validateaddress(v16_addr) v16_pubkey = v16_info['pubkey'] self.stop_node(-1) self.log.info("Test wallet upgrade path...") # u1: regular wallet, created with v0.17 node_v17.rpc.createwallet(wallet_name="u1_v17") wallet = node_v17.get_wallet_rpc("u1_v17") address = wallet.getnewaddress("bech32") v17_info = wallet.getaddressinfo(address) hdkeypath = v17_info["hdkeypath"] pubkey = v17_info["pubkey"] if self.is_bdb_compiled(): # Old wallets are BDB and will only work if BDB is compiled # Copy the 0.16 wallet to the last Garliccoin Core version and open it: shutil.copyfile( os.path.join(node_v16_wallets_dir, "wallets/u1_v16"), os.path.join(node_master_wallets_dir, "u1_v16") ) load_res = node_master.loadwallet("u1_v16") # Make sure this wallet opens without warnings. See https://github.com/garliccoin/garliccoin/pull/19054 assert_equal(load_res['warning'], '') wallet = node_master.get_wallet_rpc("u1_v16") info = wallet.getaddressinfo(v16_addr) descriptor = "wpkh([" + info["hdmasterfingerprint"] + hdkeypath[1:] + "]" + v16_pubkey + ")" assert_equal(info["desc"], descsum_create(descriptor)) # Now copy that same wallet back to 0.16 to make sure no automatic upgrade breaks it os.remove(os.path.join(node_v16_wallets_dir, "wallets/u1_v16")) shutil.copyfile( os.path.join(node_master_wallets_dir, "u1_v16"), os.path.join(node_v16_wallets_dir, "wallets/u1_v16") ) self.start_node(-1, extra_args=["-wallet=u1_v16"]) wallet = node_v16.get_wallet_rpc("u1_v16") info = wallet.validateaddress(v16_addr) assert_equal(info, v16_info) # Copy the 0.17 wallet to the last Garliccoin Core version and open it: node_v17.unloadwallet("u1_v17") shutil.copytree( os.path.join(node_v17_wallets_dir, "u1_v17"), os.path.join(node_master_wallets_dir, "u1_v17") ) node_master.loadwallet("u1_v17") wallet = node_master.get_wallet_rpc("u1_v17") info = wallet.getaddressinfo(address) descriptor = "wpkh([" + info["hdmasterfingerprint"] + hdkeypath[1:] + "]" + pubkey + ")" assert_equal(info["desc"], descsum_create(descriptor)) # Now copy that same wallet back to 0.17 to make sure no automatic upgrade breaks it node_master.unloadwallet("u1_v17") shutil.rmtree(os.path.join(node_v17_wallets_dir, "u1_v17")) shutil.copytree( os.path.join(node_master_wallets_dir, "u1_v17"), os.path.join(node_v17_wallets_dir, "u1_v17") ) node_v17.loadwallet("u1_v17") wallet = node_v17.get_wallet_rpc("u1_v17") info = wallet.getaddressinfo(address) assert_equal(info, v17_info) # Copy the 0.19 wallet to the last Garliccoin Core version and open it: shutil.copytree( os.path.join(node_v19_wallets_dir, "w1_v19"), os.path.join(node_master_wallets_dir, "w1_v19") ) node_master.loadwallet("w1_v19") wallet = node_master.get_wallet_rpc("w1_v19") assert wallet.getaddressinfo(address_18075)["solvable"] # Now copy that same wallet back to 0.19 to make sure no automatic upgrade breaks it node_master.unloadwallet("w1_v19") shutil.rmtree(os.path.join(node_v19_wallets_dir, "w1_v19")) shutil.copytree( os.path.join(node_master_wallets_dir, "w1_v19"), os.path.join(node_v19_wallets_dir, "w1_v19") ) node_v19.loadwallet("w1_v19") wallet = node_v19.get_wallet_rpc("w1_v19") assert wallet.getaddressinfo(address_18075)["solvable"] if __name__ == '__main__': BackwardsCompatibilityTest().main()

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import os import shutil from test_framework.test_framework import GarliccoinTestFramework from test_framework.descriptors import descsum_create from test_framework.util import ( assert_equal, assert_raises_rpc_error, ) class BackwardsCompatibilityTest(GarliccoinTestFramework): def set_test_params(self): self.setup_clean_chain = True self.num_nodes = 6 self.extra_args = [ ["-addresstype=bech32"], ["-nowallet", "-walletrbf=1", "-addresstype=bech32"], ["-nowallet", "-walletrbf=1", "-addresstype=bech32"], ["-nowallet", "-walletrbf=1", "-addresstype=bech32"], ["-nowallet", "-walletrbf=1", "-addresstype=bech32"], ["-nowallet", "-walletrbf=1", "-addresstype=bech32", "-wallet=wallet.dat"], ] self.wallet_names = [self.default_wallet_name] def skip_test_if_missing_module(self): self.skip_if_no_wallet() self.skip_if_no_previous_releases() def setup_nodes(self): self.add_nodes(self.num_nodes, extra_args=self.extra_args, versions=[ None, None, 190100, 180100, 170200, 160300, ]) self.start_nodes() self.import_deterministic_coinbase_privkeys() def run_test(self): self.nodes[0].generatetoaddress(101, self.nodes[0].getnewaddress()) self.sync_blocks() res = self.nodes[self.num_nodes - 1].getblockchaininfo() assert_equal(res['blocks'], 101) node_master = self.nodes[self.num_nodes - 5] node_v19 = self.nodes[self.num_nodes - 4] node_v18 = self.nodes[self.num_nodes - 3] node_v17 = self.nodes[self.num_nodes - 2] node_v16 = self.nodes[self.num_nodes - 1] self.log.info("Test wallet backwards compatibility...") node_master.createwallet(wallet_name="w1") wallet = node_master.get_wallet_rpc("w1") info = wallet.getwalletinfo() assert info['private_keys_enabled'] assert info['keypoolsize'] > 0 address = wallet.getnewaddress() self.nodes[0].sendtoaddress(address, 10) self.sync_mempools() self.nodes[0].generate(1) self.sync_blocks() return_address = self.nodes[0].getnewaddress() tx1_id = self.nodes[1].sendtoaddress(return_address, 1) tx2_id = self.nodes[1].bumpfee(tx1_id)["txid"] self.sync_mempools() self.nodes[0].generate(1) self.sync_blocks() tx3_id = self.nodes[1].sendtoaddress(return_address, 1) tx4_id = self.nodes[1].bumpfee(tx3_id)["txid"] self.nodes[1].abandontransaction(tx3_id) # w1_v19: regular wallet, created with v0.19 node_v19.rpc.createwallet(wallet_name="w1_v19") wallet = node_v19.get_wallet_rpc("w1_v19") info = wallet.getwalletinfo() assert info['private_keys_enabled'] assert info['keypoolsize'] > 0 # Use addmultisigaddress (see #18075) address_18075 = wallet.rpc.addmultisigaddress(1, ["0296b538e853519c726a2c91e61ec11600ae1390813a627c66fb8be7947be63c52", "037211a824f55b505228e4c3d5194c1fcfaa15a456abdf37f9b9d97a4040afc073"], "", "legacy")["address"] assert wallet.getaddressinfo(address_18075)["solvable"] # w1_v18: regular wallet, created with v0.18 node_v18.rpc.createwallet(wallet_name="w1_v18") wallet = node_v18.get_wallet_rpc("w1_v18") info = wallet.getwalletinfo() assert info['private_keys_enabled'] assert info['keypoolsize'] > 0 # w2: wallet with private keys disabled, created on master: update this # test when default wallets private keys disabled can no longer be # opened by older versions. node_master.createwallet(wallet_name="w2", disable_private_keys=True) wallet = node_master.get_wallet_rpc("w2") info = wallet.getwalletinfo() assert info['private_keys_enabled'] == False assert info['keypoolsize'] == 0 # w2_v19: wallet with private keys disabled, created with v0.19 node_v19.rpc.createwallet(wallet_name="w2_v19", disable_private_keys=True) wallet = node_v19.get_wallet_rpc("w2_v19") info = wallet.getwalletinfo() assert info['private_keys_enabled'] == False assert info['keypoolsize'] == 0 # w2_v18: wallet with private keys disabled, created with v0.18 node_v18.rpc.createwallet(wallet_name="w2_v18", disable_private_keys=True) wallet = node_v18.get_wallet_rpc("w2_v18") info = wallet.getwalletinfo() assert info['private_keys_enabled'] == False assert info['keypoolsize'] == 0 # w3: blank wallet, created on master: update this # test when default blank wallets can no longer be opened by older versions. node_master.createwallet(wallet_name="w3", blank=True) wallet = node_master.get_wallet_rpc("w3") info = wallet.getwalletinfo() assert info['private_keys_enabled'] assert info['keypoolsize'] == 0 # w3_v19: blank wallet, created with v0.19 node_v19.rpc.createwallet(wallet_name="w3_v19", blank=True) wallet = node_v19.get_wallet_rpc("w3_v19") info = wallet.getwalletinfo() assert info['private_keys_enabled'] assert info['keypoolsize'] == 0 # w3_v18: blank wallet, created with v0.18 node_v18.rpc.createwallet(wallet_name="w3_v18", blank=True) wallet = node_v18.get_wallet_rpc("w3_v18") info = wallet.getwalletinfo() assert info['private_keys_enabled'] assert info['keypoolsize'] == 0 # Copy the wallets to older nodes: node_master_wallets_dir = os.path.join(node_master.datadir, "regtest/wallets") node_v19_wallets_dir = os.path.join(node_v19.datadir, "regtest/wallets") node_v18_wallets_dir = os.path.join(node_v18.datadir, "regtest/wallets") node_v17_wallets_dir = os.path.join(node_v17.datadir, "regtest/wallets") node_v16_wallets_dir = os.path.join(node_v16.datadir, "regtest") node_master.unloadwallet("w1") node_master.unloadwallet("w2") node_v19.unloadwallet("w1_v19") node_v19.unloadwallet("w2_v19") node_v18.unloadwallet("w1_v18") node_v18.unloadwallet("w2_v18") # Copy wallets to v0.16 for wallet in os.listdir(node_master_wallets_dir): shutil.copytree( os.path.join(node_master_wallets_dir, wallet), os.path.join(node_v16_wallets_dir, wallet) ) # Copy wallets to v0.17 for wallet in os.listdir(node_master_wallets_dir): shutil.copytree( os.path.join(node_master_wallets_dir, wallet), os.path.join(node_v17_wallets_dir, wallet) ) for wallet in os.listdir(node_v18_wallets_dir): shutil.copytree( os.path.join(node_v18_wallets_dir, wallet), os.path.join(node_v17_wallets_dir, wallet) ) # Copy wallets to v0.18 for wallet in os.listdir(node_master_wallets_dir): shutil.copytree( os.path.join(node_master_wallets_dir, wallet), os.path.join(node_v18_wallets_dir, wallet) ) # Copy wallets to v0.19 for wallet in os.listdir(node_master_wallets_dir): shutil.copytree( os.path.join(node_master_wallets_dir, wallet), os.path.join(node_v19_wallets_dir, wallet) ) if not self.options.descriptors: # Descriptor wallets break compatibility, only run this test for legacy wallet # Open the wallets in v0.19 node_v19.loadwallet("w1") wallet = node_v19.get_wallet_rpc("w1") info = wallet.getwalletinfo() assert info['private_keys_enabled'] assert info['keypoolsize'] > 0 txs = wallet.listtransactions() assert_equal(len(txs), 5) assert_equal(txs[1]["txid"], tx1_id) assert_equal(txs[2]["walletconflicts"], [tx1_id]) assert_equal(txs[1]["replaced_by_txid"], tx2_id) assert not(txs[1]["abandoned"]) assert_equal(txs[1]["confirmations"], -1) assert_equal(txs[2]["blockindex"], 1) assert txs[3]["abandoned"] assert_equal(txs[4]["walletconflicts"], [tx3_id]) assert_equal(txs[3]["replaced_by_txid"], tx4_id) assert not(hasattr(txs[3], "blockindex")) node_v19.loadwallet("w2") wallet = node_v19.get_wallet_rpc("w2") info = wallet.getwalletinfo() assert info['private_keys_enabled'] == False assert info['keypoolsize'] == 0 node_v19.loadwallet("w3") wallet = node_v19.get_wallet_rpc("w3") info = wallet.getwalletinfo() assert info['private_keys_enabled'] assert info['keypoolsize'] == 0 # Open the wallets in v0.18 node_v18.loadwallet("w1") wallet = node_v18.get_wallet_rpc("w1") info = wallet.getwalletinfo() assert info['private_keys_enabled'] assert info['keypoolsize'] > 0 txs = wallet.listtransactions() assert_equal(len(txs), 5) assert_equal(txs[1]["txid"], tx1_id) assert_equal(txs[2]["walletconflicts"], [tx1_id]) assert_equal(txs[1]["replaced_by_txid"], tx2_id) assert not(txs[1]["abandoned"]) assert_equal(txs[1]["confirmations"], -1) assert_equal(txs[2]["blockindex"], 1) assert txs[3]["abandoned"] assert_equal(txs[4]["walletconflicts"], [tx3_id]) assert_equal(txs[3]["replaced_by_txid"], tx4_id) assert not(hasattr(txs[3], "blockindex")) node_v18.loadwallet("w2") wallet = node_v18.get_wallet_rpc("w2") info = wallet.getwalletinfo() assert info['private_keys_enabled'] == False assert info['keypoolsize'] == 0 node_v18.loadwallet("w3") wallet = node_v18.get_wallet_rpc("w3") info = wallet.getwalletinfo() assert info['private_keys_enabled'] assert info['keypoolsize'] == 0 node_v17.loadwallet("w1") wallet = node_v17.get_wallet_rpc("w1") info = wallet.getwalletinfo() assert info['private_keys_enabled'] assert info['keypoolsize'] > 0 node_v17.loadwallet("w2") wallet = node_v17.get_wallet_rpc("w2") info = wallet.getwalletinfo() assert info['private_keys_enabled'] == False assert info['keypoolsize'] == 0 else: # Descriptor wallets appear to be corrupted wallets to old software assert_raises_rpc_error(-4, "Wallet file verification failed: wallet.dat corrupt, salvage failed", node_v19.loadwallet, "w1") assert_raises_rpc_error(-4, "Wallet file verification failed: wallet.dat corrupt, salvage failed", node_v19.loadwallet, "w2") assert_raises_rpc_error(-4, "Wallet file verification failed: wallet.dat corrupt, salvage failed", node_v19.loadwallet, "w3") assert_raises_rpc_error(-4, "Wallet file verification failed: wallet.dat corrupt, salvage failed", node_v18.loadwallet, "w1") assert_raises_rpc_error(-4, "Wallet file verification failed: wallet.dat corrupt, salvage failed", node_v18.loadwallet, "w2") assert_raises_rpc_error(-4, "Wallet file verification failed: wallet.dat corrupt, salvage failed", node_v18.loadwallet, "w3") # Open the wallets in v0.17 node_v17.loadwallet("w1_v18") wallet = node_v17.get_wallet_rpc("w1_v18") info = wallet.getwalletinfo() assert info['private_keys_enabled'] assert info['keypoolsize'] > 0 node_v17.loadwallet("w2_v18") wallet = node_v17.get_wallet_rpc("w2_v18") info = wallet.getwalletinfo() assert info['private_keys_enabled'] == False assert info['keypoolsize'] == 0 # RPC loadwallet failure causes garliccoind to exit, in addition to the RPC # call failure, so the following test won't work: self.stop_node(4) node_v17.assert_start_raises_init_error(["-wallet=w3_v18"], "Error: Error loading w3_v18: Wallet requires newer version of Garliccoin Core") if self.options.descriptors: node_v17.assert_start_raises_init_error(["-wallet=w1"], "Error: wallet.dat corrupt, salvage failed") node_v17.assert_start_raises_init_error(["-wallet=w2"], "Error: wallet.dat corrupt, salvage failed") node_v17.assert_start_raises_init_error(["-wallet=w3"], "Error: wallet.dat corrupt, salvage failed") else: node_v17.assert_start_raises_init_error(["-wallet=w3"], "Error: Error loading w3: Wallet requires newer version of Garliccoin Core") self.start_node(4) if not self.options.descriptors: self.restart_node(5, extra_args=["-wallet=w2"]) wallet = node_v16.get_wallet_rpc("w2") info = wallet.getwalletinfo() assert info['keypoolsize'] == 1 self.restart_node(-1, extra_args=["-wallet=u1_v16"]) wallet = node_v16.get_wallet_rpc("u1_v16") v16_addr = wallet.getnewaddress('', "bech32") v16_info = wallet.validateaddress(v16_addr) v16_pubkey = v16_info['pubkey'] self.stop_node(-1) self.log.info("Test wallet upgrade path...") node_v17.rpc.createwallet(wallet_name="u1_v17") wallet = node_v17.get_wallet_rpc("u1_v17") address = wallet.getnewaddress("bech32") v17_info = wallet.getaddressinfo(address) hdkeypath = v17_info["hdkeypath"] pubkey = v17_info["pubkey"] if self.is_bdb_compiled(): shutil.copyfile( os.path.join(node_v16_wallets_dir, "wallets/u1_v16"), os.path.join(node_master_wallets_dir, "u1_v16") ) load_res = node_master.loadwallet("u1_v16") assert_equal(load_res['warning'], '') wallet = node_master.get_wallet_rpc("u1_v16") info = wallet.getaddressinfo(v16_addr) descriptor = "wpkh([" + info["hdmasterfingerprint"] + hdkeypath[1:] + "]" + v16_pubkey + ")" assert_equal(info["desc"], descsum_create(descriptor)) os.remove(os.path.join(node_v16_wallets_dir, "wallets/u1_v16")) shutil.copyfile( os.path.join(node_master_wallets_dir, "u1_v16"), os.path.join(node_v16_wallets_dir, "wallets/u1_v16") ) self.start_node(-1, extra_args=["-wallet=u1_v16"]) wallet = node_v16.get_wallet_rpc("u1_v16") info = wallet.validateaddress(v16_addr) assert_equal(info, v16_info) node_v17.unloadwallet("u1_v17") shutil.copytree( os.path.join(node_v17_wallets_dir, "u1_v17"), os.path.join(node_master_wallets_dir, "u1_v17") ) node_master.loadwallet("u1_v17") wallet = node_master.get_wallet_rpc("u1_v17") info = wallet.getaddressinfo(address) descriptor = "wpkh([" + info["hdmasterfingerprint"] + hdkeypath[1:] + "]" + pubkey + ")" assert_equal(info["desc"], descsum_create(descriptor)) node_master.unloadwallet("u1_v17") shutil.rmtree(os.path.join(node_v17_wallets_dir, "u1_v17")) shutil.copytree( os.path.join(node_master_wallets_dir, "u1_v17"), os.path.join(node_v17_wallets_dir, "u1_v17") ) node_v17.loadwallet("u1_v17") wallet = node_v17.get_wallet_rpc("u1_v17") info = wallet.getaddressinfo(address) assert_equal(info, v17_info) shutil.copytree( os.path.join(node_v19_wallets_dir, "w1_v19"), os.path.join(node_master_wallets_dir, "w1_v19") ) node_master.loadwallet("w1_v19") wallet = node_master.get_wallet_rpc("w1_v19") assert wallet.getaddressinfo(address_18075)["solvable"] node_master.unloadwallet("w1_v19") shutil.rmtree(os.path.join(node_v19_wallets_dir, "w1_v19")) shutil.copytree( os.path.join(node_master_wallets_dir, "w1_v19"), os.path.join(node_v19_wallets_dir, "w1_v19") ) node_v19.loadwallet("w1_v19") wallet = node_v19.get_wallet_rpc("w1_v19") assert wallet.getaddressinfo(address_18075)["solvable"] if __name__ == '__main__': BackwardsCompatibilityTest().main()

true

f7f525917964ede1f175cc8117f8a9fb6871d815

1,225

py

Python

340_easy_first_recurring/first_recurring.py

jacobmorzinski/dailyprogrammer

9f52c93498c7c27d235da9bac50ab91ddcd19a71

[ "MIT" ]

null

340_easy_first_recurring/first_recurring.py

jacobmorzinski/dailyprogrammer

9f52c93498c7c27d235da9bac50ab91ddcd19a71

[ "MIT" ]

null

340_easy_first_recurring/first_recurring.py

jacobmorzinski/dailyprogrammer

9f52c93498c7c27d235da9bac50ab91ddcd19a71

[ "MIT" ]

null

#! /usr/bin/python # https://www.reddit.com/r/dailyprogrammer/comments/7cnqtw/20171113_challenge_340_easy_first_recurring/ ''' a program that outputs the first recurring character in a string ''' from __future__ import unicode_literals, print_function, division, absolute_import import argparse import sys import logging def determine_first_recurring(s): # pylint: disable=C0103 "Given string s, determine the first recurring character" counts = {} answer = None for char in s: counts[char] = 1 + counts.get(char, 0) logging.debug("char: %s, count: %d", char, counts[char]) if counts[char] > 1: answer = char break return answer def main(args=None): "Main entry point" if args is None: args = sys.argv[1:] parser = argparse.ArgumentParser(description=__doc__) parser.add_argument('--debug', action="store_true") args_ns = parser.parse_args(args) if args_ns.debug is True: logging.basicConfig(level=logging.DEBUG) logging.debug(args_ns) for line in sys.stdin: answer = determine_first_recurring(line.strip()) print(answer) return 0 if __name__ == '__main__': sys.exit(main())

26.06383

103

0.677551

from __future__ import unicode_literals, print_function, division, absolute_import import argparse import sys import logging def determine_first_recurring(s): counts = {} answer = None for char in s: counts[char] = 1 + counts.get(char, 0) logging.debug("char: %s, count: %d", char, counts[char]) if counts[char] > 1: answer = char break return answer def main(args=None): if args is None: args = sys.argv[1:] parser = argparse.ArgumentParser(description=__doc__) parser.add_argument('--debug', action="store_true") args_ns = parser.parse_args(args) if args_ns.debug is True: logging.basicConfig(level=logging.DEBUG) logging.debug(args_ns) for line in sys.stdin: answer = determine_first_recurring(line.strip()) print(answer) return 0 if __name__ == '__main__': sys.exit(main())

true

f7f525f6f1a9ec675c49735e4979b6ee0c67ce64

23,929

py

Python

concurrent/futures/_base.py

AppliedIntuition/pythonfutures

e8cd2a441804ffd3529b6ae342ad41983717668f

[ "PSF-2.0" ]

244

2015-03-19T09:45:15.000Z

2022-02-12T16:57:40.000Z

concurrent/futures/_base.py

AppliedIntuition/pythonfutures

e8cd2a441804ffd3529b6ae342ad41983717668f

[ "PSF-2.0" ]

79

2015-03-24T18:11:37.000Z

2022-01-11T15:23:30.000Z

concurrent/futures/_base.py

AppliedIntuition/pythonfutures

e8cd2a441804ffd3529b6ae342ad41983717668f

[ "PSF-2.0" ]

66

2015-03-24T17:12:14.000Z

2022-02-12T16:57:42.000Z

# Copyright 2009 Brian Quinlan. All Rights Reserved. # Licensed to PSF under a Contributor Agreement. import collections import logging import threading import itertools import time import types __author__ = 'Brian Quinlan (brian@sweetapp.com)' FIRST_COMPLETED = 'FIRST_COMPLETED' FIRST_EXCEPTION = 'FIRST_EXCEPTION' ALL_COMPLETED = 'ALL_COMPLETED' _AS_COMPLETED = '_AS_COMPLETED' # Possible future states (for internal use by the futures package). PENDING = 'PENDING' RUNNING = 'RUNNING' # The future was cancelled by the user... CANCELLED = 'CANCELLED' # ...and _Waiter.add_cancelled() was called by a worker. CANCELLED_AND_NOTIFIED = 'CANCELLED_AND_NOTIFIED' FINISHED = 'FINISHED' _FUTURE_STATES = [ PENDING, RUNNING, CANCELLED, CANCELLED_AND_NOTIFIED, FINISHED ] _STATE_TO_DESCRIPTION_MAP = { PENDING: "pending", RUNNING: "running", CANCELLED: "cancelled", CANCELLED_AND_NOTIFIED: "cancelled", FINISHED: "finished" } # Logger for internal use by the futures package. LOGGER = logging.getLogger("concurrent.futures") class Error(Exception): """Base class for all future-related exceptions.""" pass class CancelledError(Error): """The Future was cancelled.""" pass class TimeoutError(Error): """The operation exceeded the given deadline.""" pass class _Waiter(object): """Provides the event that wait() and as_completed() block on.""" def __init__(self): self.event = threading.Event() self.finished_futures = [] def add_result(self, future): self.finished_futures.append(future) def add_exception(self, future): self.finished_futures.append(future) def add_cancelled(self, future): self.finished_futures.append(future) class _AsCompletedWaiter(_Waiter): """Used by as_completed().""" def __init__(self): super(_AsCompletedWaiter, self).__init__() self.lock = threading.Lock() def add_result(self, future): with self.lock: super(_AsCompletedWaiter, self).add_result(future) self.event.set() def add_exception(self, future): with self.lock: super(_AsCompletedWaiter, self).add_exception(future) self.event.set() def add_cancelled(self, future): with self.lock: super(_AsCompletedWaiter, self).add_cancelled(future) self.event.set() class _FirstCompletedWaiter(_Waiter): """Used by wait(return_when=FIRST_COMPLETED).""" def add_result(self, future): super(_FirstCompletedWaiter, self).add_result(future) self.event.set() def add_exception(self, future): super(_FirstCompletedWaiter, self).add_exception(future) self.event.set() def add_cancelled(self, future): super(_FirstCompletedWaiter, self).add_cancelled(future) self.event.set() class _AllCompletedWaiter(_Waiter): """Used by wait(return_when=FIRST_EXCEPTION and ALL_COMPLETED).""" def __init__(self, num_pending_calls, stop_on_exception): self.num_pending_calls = num_pending_calls self.stop_on_exception = stop_on_exception self.lock = threading.Lock() super(_AllCompletedWaiter, self).__init__() def _decrement_pending_calls(self): with self.lock: self.num_pending_calls -= 1 if not self.num_pending_calls: self.event.set() def add_result(self, future): super(_AllCompletedWaiter, self).add_result(future) self._decrement_pending_calls() def add_exception(self, future): super(_AllCompletedWaiter, self).add_exception(future) if self.stop_on_exception: self.event.set() else: self._decrement_pending_calls() def add_cancelled(self, future): super(_AllCompletedWaiter, self).add_cancelled(future) self._decrement_pending_calls() class _AcquireFutures(object): """A context manager that does an ordered acquire of Future conditions.""" def __init__(self, futures): self.futures = sorted(futures, key=id) def __enter__(self): for future in self.futures: future._condition.acquire() def __exit__(self, *args): for future in self.futures: future._condition.release() def _create_and_install_waiters(fs, return_when): if return_when == _AS_COMPLETED: waiter = _AsCompletedWaiter() elif return_when == FIRST_COMPLETED: waiter = _FirstCompletedWaiter() else: pending_count = sum( f._state not in [CANCELLED_AND_NOTIFIED, FINISHED] for f in fs) if return_when == FIRST_EXCEPTION: waiter = _AllCompletedWaiter(pending_count, stop_on_exception=True) elif return_when == ALL_COMPLETED: waiter = _AllCompletedWaiter(pending_count, stop_on_exception=False) else: raise ValueError("Invalid return condition: %r" % return_when) for f in fs: f._waiters.append(waiter) return waiter def _yield_finished_futures(fs, waiter, ref_collect): """ Iterate on the list *fs*, yielding finished futures one by one in reverse order. Before yielding a future, *waiter* is removed from its waiters and the future is removed from each set in the collection of sets *ref_collect*. The aim of this function is to avoid keeping stale references after the future is yielded and before the iterator resumes. """ while fs: f = fs[-1] for futures_set in ref_collect: futures_set.remove(f) with f._condition: f._waiters.remove(waiter) del f # Careful not to keep a reference to the popped value yield fs.pop() def as_completed(fs, timeout=None): """An iterator over the given futures that yields each as it completes. Args: fs: The sequence of Futures (possibly created by different Executors) to iterate over. timeout: The maximum number of seconds to wait. If None, then there is no limit on the wait time. Returns: An iterator that yields the given Futures as they complete (finished or cancelled). If any given Futures are duplicated, they will be returned once. Raises: TimeoutError: If the entire result iterator could not be generated before the given timeout. """ if timeout is not None: end_time = timeout + time.time() fs = set(fs) total_futures = len(fs) with _AcquireFutures(fs): finished = set( f for f in fs if f._state in [CANCELLED_AND_NOTIFIED, FINISHED]) pending = fs - finished waiter = _create_and_install_waiters(fs, _AS_COMPLETED) finished = list(finished) try: for f in _yield_finished_futures(finished, waiter, ref_collect=(fs,)): f = [f] yield f.pop() while pending: if timeout is None: wait_timeout = None else: wait_timeout = end_time - time.time() if wait_timeout < 0: raise TimeoutError( '%d (of %d) futures unfinished' % ( len(pending), total_futures)) waiter.event.wait(wait_timeout) with waiter.lock: finished = waiter.finished_futures waiter.finished_futures = [] waiter.event.clear() # reverse to keep finishing order finished.reverse() for f in _yield_finished_futures(finished, waiter, ref_collect=(fs, pending)): f = [f] yield f.pop() finally: # Remove waiter from unfinished futures for f in fs: with f._condition: f._waiters.remove(waiter) DoneAndNotDoneFutures = collections.namedtuple( 'DoneAndNotDoneFutures', 'done not_done') def wait(fs, timeout=None, return_when=ALL_COMPLETED): """Wait for the futures in the given sequence to complete. Args: fs: The sequence of Futures (possibly created by different Executors) to wait upon. timeout: The maximum number of seconds to wait. If None, then there is no limit on the wait time. return_when: Indicates when this function should return. The options are: FIRST_COMPLETED - Return when any future finishes or is cancelled. FIRST_EXCEPTION - Return when any future finishes by raising an exception. If no future raises an exception then it is equivalent to ALL_COMPLETED. ALL_COMPLETED - Return when all futures finish or are cancelled. Returns: A named 2-tuple of sets. The first set, named 'done', contains the futures that completed (is finished or cancelled) before the wait completed. The second set, named 'not_done', contains uncompleted futures. """ with _AcquireFutures(fs): done = set(f for f in fs if f._state in [CANCELLED_AND_NOTIFIED, FINISHED]) not_done = set(fs) - done if (return_when == FIRST_COMPLETED) and done: return DoneAndNotDoneFutures(done, not_done) elif (return_when == FIRST_EXCEPTION) and done: if any(f for f in done if not f.cancelled() and f.exception() is not None): return DoneAndNotDoneFutures(done, not_done) if len(done) == len(fs): return DoneAndNotDoneFutures(done, not_done) waiter = _create_and_install_waiters(fs, return_when) waiter.event.wait(timeout) for f in fs: with f._condition: f._waiters.remove(waiter) done.update(waiter.finished_futures) return DoneAndNotDoneFutures(done, set(fs) - done) class Future(object): """Represents the result of an asynchronous computation.""" def __init__(self): """Initializes the future. Should not be called by clients.""" self._condition = threading.Condition() self._state = PENDING self._result = None self._exception = None self._traceback = None self._waiters = [] self._done_callbacks = [] def _invoke_callbacks(self): for callback in self._done_callbacks: try: callback(self) except Exception: LOGGER.exception('exception calling callback for %r', self) except BaseException: # Explicitly let all other new-style exceptions through so # that we can catch all old-style exceptions with a simple # "except:" clause below. # # All old-style exception objects are instances of # types.InstanceType, but "except types.InstanceType:" does # not catch old-style exceptions for some reason. Thus, the # only way to catch all old-style exceptions without catching # any new-style exceptions is to filter out the new-style # exceptions, which all derive from BaseException. raise except: # Because of the BaseException clause above, this handler only # executes for old-style exception objects. LOGGER.exception('exception calling callback for %r', self) def __repr__(self): with self._condition: if self._state == FINISHED: if self._exception: return '<%s at %#x state=%s raised %s>' % ( self.__class__.__name__, id(self), _STATE_TO_DESCRIPTION_MAP[self._state], self._exception.__class__.__name__) else: return '<%s at %#x state=%s returned %s>' % ( self.__class__.__name__, id(self), _STATE_TO_DESCRIPTION_MAP[self._state], self._result.__class__.__name__) return '<%s at %#x state=%s>' % ( self.__class__.__name__, id(self), _STATE_TO_DESCRIPTION_MAP[self._state]) def cancel(self): """Cancel the future if possible. Returns True if the future was cancelled, False otherwise. A future cannot be cancelled if it is running or has already completed. """ with self._condition: if self._state in [RUNNING, FINISHED]: return False if self._state in [CANCELLED, CANCELLED_AND_NOTIFIED]: return True self._state = CANCELLED self._condition.notify_all() self._invoke_callbacks() return True def cancelled(self): """Return True if the future was cancelled.""" with self._condition: return self._state in [CANCELLED, CANCELLED_AND_NOTIFIED] def running(self): """Return True if the future is currently executing.""" with self._condition: return self._state == RUNNING def done(self): """Return True of the future was cancelled or finished executing.""" with self._condition: return self._state in [CANCELLED, CANCELLED_AND_NOTIFIED, FINISHED] def __get_result(self): if self._exception: if isinstance(self._exception, types.InstanceType): # The exception is an instance of an old-style class, which # means type(self._exception) returns types.ClassType instead # of the exception's actual class type. exception_type = self._exception.__class__ else: exception_type = type(self._exception) raise exception_type, self._exception, self._traceback else: return self._result def add_done_callback(self, fn): """Attaches a callable that will be called when the future finishes. Args: fn: A callable that will be called with this future as its only argument when the future completes or is cancelled. The callable will always be called by a thread in the same process in which it was added. If the future has already completed or been cancelled then the callable will be called immediately. These callables are called in the order that they were added. """ with self._condition: if self._state not in [CANCELLED, CANCELLED_AND_NOTIFIED, FINISHED]: self._done_callbacks.append(fn) return fn(self) def result(self, timeout=None): """Return the result of the call that the future represents. Args: timeout: The number of seconds to wait for the result if the future isn't done. If None, then there is no limit on the wait time. Returns: The result of the call that the future represents. Raises: CancelledError: If the future was cancelled. TimeoutError: If the future didn't finish executing before the given timeout. Exception: If the call raised then that exception will be raised. """ with self._condition: if self._state in [CANCELLED, CANCELLED_AND_NOTIFIED]: raise CancelledError() elif self._state == FINISHED: return self.__get_result() self._condition.wait(timeout) if self._state in [CANCELLED, CANCELLED_AND_NOTIFIED]: raise CancelledError() elif self._state == FINISHED: return self.__get_result() else: raise TimeoutError() def exception_info(self, timeout=None): """Return a tuple of (exception, traceback) raised by the call that the future represents. Args: timeout: The number of seconds to wait for the exception if the future isn't done. If None, then there is no limit on the wait time. Returns: The exception raised by the call that the future represents or None if the call completed without raising. Raises: CancelledError: If the future was cancelled. TimeoutError: If the future didn't finish executing before the given timeout. """ with self._condition: if self._state in [CANCELLED, CANCELLED_AND_NOTIFIED]: raise CancelledError() elif self._state == FINISHED: return self._exception, self._traceback self._condition.wait(timeout) if self._state in [CANCELLED, CANCELLED_AND_NOTIFIED]: raise CancelledError() elif self._state == FINISHED: return self._exception, self._traceback else: raise TimeoutError() def exception(self, timeout=None): """Return the exception raised by the call that the future represents. Args: timeout: The number of seconds to wait for the exception if the future isn't done. If None, then there is no limit on the wait time. Returns: The exception raised by the call that the future represents or None if the call completed without raising. Raises: CancelledError: If the future was cancelled. TimeoutError: If the future didn't finish executing before the given timeout. """ return self.exception_info(timeout)[0] # The following methods should only be used by Executors and in tests. def set_running_or_notify_cancel(self): """Mark the future as running or process any cancel notifications. Should only be used by Executor implementations and unit tests. If the future has been cancelled (cancel() was called and returned True) then any threads waiting on the future completing (though calls to as_completed() or wait()) are notified and False is returned. If the future was not cancelled then it is put in the running state (future calls to running() will return True) and True is returned. This method should be called by Executor implementations before executing the work associated with this future. If this method returns False then the work should not be executed. Returns: False if the Future was cancelled, True otherwise. Raises: RuntimeError: if this method was already called or if set_result() or set_exception() was called. """ with self._condition: if self._state == CANCELLED: self._state = CANCELLED_AND_NOTIFIED for waiter in self._waiters: waiter.add_cancelled(self) # self._condition.notify_all() is not necessary because # self.cancel() triggers a notification. return False elif self._state == PENDING: self._state = RUNNING return True else: LOGGER.critical('Future %s in unexpected state: %s', id(self), self._state) raise RuntimeError('Future in unexpected state') def set_result(self, result): """Sets the return value of work associated with the future. Should only be used by Executor implementations and unit tests. """ with self._condition: self._result = result self._state = FINISHED for waiter in self._waiters: waiter.add_result(self) self._condition.notify_all() self._invoke_callbacks() def set_exception_info(self, exception, traceback): """Sets the result of the future as being the given exception and traceback. Should only be used by Executor implementations and unit tests. """ with self._condition: self._exception = exception self._traceback = traceback self._state = FINISHED for waiter in self._waiters: waiter.add_exception(self) self._condition.notify_all() self._invoke_callbacks() def set_exception(self, exception): """Sets the result of the future as being the given exception. Should only be used by Executor implementations and unit tests. """ self.set_exception_info(exception, None) class Executor(object): """This is an abstract base class for concrete asynchronous executors.""" def submit(self, fn, *args, **kwargs): """Submits a callable to be executed with the given arguments. Schedules the callable to be executed as fn(*args, **kwargs) and returns a Future instance representing the execution of the callable. Returns: A Future representing the given call. """ raise NotImplementedError() def map(self, fn, *iterables, **kwargs): """Returns an iterator equivalent to map(fn, iter). Args: fn: A callable that will take as many arguments as there are passed iterables. timeout: The maximum number of seconds to wait. If None, then there is no limit on the wait time. Returns: An iterator equivalent to: map(func, *iterables) but the calls may be evaluated out-of-order. Raises: TimeoutError: If the entire result iterator could not be generated before the given timeout. Exception: If fn(*args) raises for any values. """ timeout = kwargs.get('timeout') if timeout is not None: end_time = timeout + time.time() fs = [self.submit(fn, *args) for args in itertools.izip(*iterables)] # Yield must be hidden in closure so that the futures are submitted # before the first iterator value is required. def result_iterator(): try: # reverse to keep finishing order fs.reverse() while fs: # Careful not to keep a reference to the popped future if timeout is None: yield fs.pop().result() else: yield fs.pop().result(end_time - time.time()) finally: for future in fs: future.cancel() return result_iterator() def shutdown(self, wait=True): """Clean-up the resources associated with the Executor. It is safe to call this method several times. Otherwise, no other methods can be called after this one. Args: wait: If True then shutdown will not return until all running futures have finished executing and the resources used by the executor have been reclaimed. """ pass def __enter__(self): return self def __exit__(self, exc_type, exc_val, exc_tb): self.shutdown(wait=True) return False class BrokenExecutor(RuntimeError): """ Raised when a executor has become non-functional after a severe failure. """

35.502967

80

0.607589

import collections import logging import threading import itertools import time import types __author__ = 'Brian Quinlan (brian@sweetapp.com)' FIRST_COMPLETED = 'FIRST_COMPLETED' FIRST_EXCEPTION = 'FIRST_EXCEPTION' ALL_COMPLETED = 'ALL_COMPLETED' _AS_COMPLETED = '_AS_COMPLETED' PENDING = 'PENDING' RUNNING = 'RUNNING' CANCELLED = 'CANCELLED' CANCELLED_AND_NOTIFIED = 'CANCELLED_AND_NOTIFIED' FINISHED = 'FINISHED' _FUTURE_STATES = [ PENDING, RUNNING, CANCELLED, CANCELLED_AND_NOTIFIED, FINISHED ] _STATE_TO_DESCRIPTION_MAP = { PENDING: "pending", RUNNING: "running", CANCELLED: "cancelled", CANCELLED_AND_NOTIFIED: "cancelled", FINISHED: "finished" } LOGGER = logging.getLogger("concurrent.futures") class Error(Exception): """Base class for all future-related exceptions.""" pass class CancelledError(Error): """The Future was cancelled.""" pass class TimeoutError(Error): """The operation exceeded the given deadline.""" pass class _Waiter(object): """Provides the event that wait() and as_completed() block on.""" def __init__(self): self.event = threading.Event() self.finished_futures = [] def add_result(self, future): self.finished_futures.append(future) def add_exception(self, future): self.finished_futures.append(future) def add_cancelled(self, future): self.finished_futures.append(future) class _AsCompletedWaiter(_Waiter): """Used by as_completed().""" def __init__(self): super(_AsCompletedWaiter, self).__init__() self.lock = threading.Lock() def add_result(self, future): with self.lock: super(_AsCompletedWaiter, self).add_result(future) self.event.set() def add_exception(self, future): with self.lock: super(_AsCompletedWaiter, self).add_exception(future) self.event.set() def add_cancelled(self, future): with self.lock: super(_AsCompletedWaiter, self).add_cancelled(future) self.event.set() class _FirstCompletedWaiter(_Waiter): """Used by wait(return_when=FIRST_COMPLETED).""" def add_result(self, future): super(_FirstCompletedWaiter, self).add_result(future) self.event.set() def add_exception(self, future): super(_FirstCompletedWaiter, self).add_exception(future) self.event.set() def add_cancelled(self, future): super(_FirstCompletedWaiter, self).add_cancelled(future) self.event.set() class _AllCompletedWaiter(_Waiter): """Used by wait(return_when=FIRST_EXCEPTION and ALL_COMPLETED).""" def __init__(self, num_pending_calls, stop_on_exception): self.num_pending_calls = num_pending_calls self.stop_on_exception = stop_on_exception self.lock = threading.Lock() super(_AllCompletedWaiter, self).__init__() def _decrement_pending_calls(self): with self.lock: self.num_pending_calls -= 1 if not self.num_pending_calls: self.event.set() def add_result(self, future): super(_AllCompletedWaiter, self).add_result(future) self._decrement_pending_calls() def add_exception(self, future): super(_AllCompletedWaiter, self).add_exception(future) if self.stop_on_exception: self.event.set() else: self._decrement_pending_calls() def add_cancelled(self, future): super(_AllCompletedWaiter, self).add_cancelled(future) self._decrement_pending_calls() class _AcquireFutures(object): """A context manager that does an ordered acquire of Future conditions.""" def __init__(self, futures): self.futures = sorted(futures, key=id) def __enter__(self): for future in self.futures: future._condition.acquire() def __exit__(self, *args): for future in self.futures: future._condition.release() def _create_and_install_waiters(fs, return_when): if return_when == _AS_COMPLETED: waiter = _AsCompletedWaiter() elif return_when == FIRST_COMPLETED: waiter = _FirstCompletedWaiter() else: pending_count = sum( f._state not in [CANCELLED_AND_NOTIFIED, FINISHED] for f in fs) if return_when == FIRST_EXCEPTION: waiter = _AllCompletedWaiter(pending_count, stop_on_exception=True) elif return_when == ALL_COMPLETED: waiter = _AllCompletedWaiter(pending_count, stop_on_exception=False) else: raise ValueError("Invalid return condition: %r" % return_when) for f in fs: f._waiters.append(waiter) return waiter def _yield_finished_futures(fs, waiter, ref_collect): """ Iterate on the list *fs*, yielding finished futures one by one in reverse order. Before yielding a future, *waiter* is removed from its waiters and the future is removed from each set in the collection of sets *ref_collect*. The aim of this function is to avoid keeping stale references after the future is yielded and before the iterator resumes. """ while fs: f = fs[-1] for futures_set in ref_collect: futures_set.remove(f) with f._condition: f._waiters.remove(waiter) del f yield fs.pop() def as_completed(fs, timeout=None): """An iterator over the given futures that yields each as it completes. Args: fs: The sequence of Futures (possibly created by different Executors) to iterate over. timeout: The maximum number of seconds to wait. If None, then there is no limit on the wait time. Returns: An iterator that yields the given Futures as they complete (finished or cancelled). If any given Futures are duplicated, they will be returned once. Raises: TimeoutError: If the entire result iterator could not be generated before the given timeout. """ if timeout is not None: end_time = timeout + time.time() fs = set(fs) total_futures = len(fs) with _AcquireFutures(fs): finished = set( f for f in fs if f._state in [CANCELLED_AND_NOTIFIED, FINISHED]) pending = fs - finished waiter = _create_and_install_waiters(fs, _AS_COMPLETED) finished = list(finished) try: for f in _yield_finished_futures(finished, waiter, ref_collect=(fs,)): f = [f] yield f.pop() while pending: if timeout is None: wait_timeout = None else: wait_timeout = end_time - time.time() if wait_timeout < 0: raise TimeoutError( '%d (of %d) futures unfinished' % ( len(pending), total_futures)) waiter.event.wait(wait_timeout) with waiter.lock: finished = waiter.finished_futures waiter.finished_futures = [] waiter.event.clear() finished.reverse() for f in _yield_finished_futures(finished, waiter, ref_collect=(fs, pending)): f = [f] yield f.pop() finally: for f in fs: with f._condition: f._waiters.remove(waiter) DoneAndNotDoneFutures = collections.namedtuple( 'DoneAndNotDoneFutures', 'done not_done') def wait(fs, timeout=None, return_when=ALL_COMPLETED): """Wait for the futures in the given sequence to complete. Args: fs: The sequence of Futures (possibly created by different Executors) to wait upon. timeout: The maximum number of seconds to wait. If None, then there is no limit on the wait time. return_when: Indicates when this function should return. The options are: FIRST_COMPLETED - Return when any future finishes or is cancelled. FIRST_EXCEPTION - Return when any future finishes by raising an exception. If no future raises an exception then it is equivalent to ALL_COMPLETED. ALL_COMPLETED - Return when all futures finish or are cancelled. Returns: A named 2-tuple of sets. The first set, named 'done', contains the futures that completed (is finished or cancelled) before the wait completed. The second set, named 'not_done', contains uncompleted futures. """ with _AcquireFutures(fs): done = set(f for f in fs if f._state in [CANCELLED_AND_NOTIFIED, FINISHED]) not_done = set(fs) - done if (return_when == FIRST_COMPLETED) and done: return DoneAndNotDoneFutures(done, not_done) elif (return_when == FIRST_EXCEPTION) and done: if any(f for f in done if not f.cancelled() and f.exception() is not None): return DoneAndNotDoneFutures(done, not_done) if len(done) == len(fs): return DoneAndNotDoneFutures(done, not_done) waiter = _create_and_install_waiters(fs, return_when) waiter.event.wait(timeout) for f in fs: with f._condition: f._waiters.remove(waiter) done.update(waiter.finished_futures) return DoneAndNotDoneFutures(done, set(fs) - done) class Future(object): """Represents the result of an asynchronous computation.""" def __init__(self): """Initializes the future. Should not be called by clients.""" self._condition = threading.Condition() self._state = PENDING self._result = None self._exception = None self._traceback = None self._waiters = [] self._done_callbacks = [] def _invoke_callbacks(self): for callback in self._done_callbacks: try: callback(self) except Exception: LOGGER.exception('exception calling callback for %r', self) except BaseException: raise except: LOGGER.exception('exception calling callback for %r', self) def __repr__(self): with self._condition: if self._state == FINISHED: if self._exception: return '<%s at %#x state=%s raised %s>' % ( self.__class__.__name__, id(self), _STATE_TO_DESCRIPTION_MAP[self._state], self._exception.__class__.__name__) else: return '<%s at %#x state=%s returned %s>' % ( self.__class__.__name__, id(self), _STATE_TO_DESCRIPTION_MAP[self._state], self._result.__class__.__name__) return '<%s at %#x state=%s>' % ( self.__class__.__name__, id(self), _STATE_TO_DESCRIPTION_MAP[self._state]) def cancel(self): """Cancel the future if possible. Returns True if the future was cancelled, False otherwise. A future cannot be cancelled if it is running or has already completed. """ with self._condition: if self._state in [RUNNING, FINISHED]: return False if self._state in [CANCELLED, CANCELLED_AND_NOTIFIED]: return True self._state = CANCELLED self._condition.notify_all() self._invoke_callbacks() return True def cancelled(self): """Return True if the future was cancelled.""" with self._condition: return self._state in [CANCELLED, CANCELLED_AND_NOTIFIED] def running(self): """Return True if the future is currently executing.""" with self._condition: return self._state == RUNNING def done(self): """Return True of the future was cancelled or finished executing.""" with self._condition: return self._state in [CANCELLED, CANCELLED_AND_NOTIFIED, FINISHED] def __get_result(self): if self._exception: if isinstance(self._exception, types.InstanceType): exception_type = self._exception.__class__ else: exception_type = type(self._exception) raise exception_type, self._exception, self._traceback else: return self._result def add_done_callback(self, fn): """Attaches a callable that will be called when the future finishes. Args: fn: A callable that will be called with this future as its only argument when the future completes or is cancelled. The callable will always be called by a thread in the same process in which it was added. If the future has already completed or been cancelled then the callable will be called immediately. These callables are called in the order that they were added. """ with self._condition: if self._state not in [CANCELLED, CANCELLED_AND_NOTIFIED, FINISHED]: self._done_callbacks.append(fn) return fn(self) def result(self, timeout=None): """Return the result of the call that the future represents. Args: timeout: The number of seconds to wait for the result if the future isn't done. If None, then there is no limit on the wait time. Returns: The result of the call that the future represents. Raises: CancelledError: If the future was cancelled. TimeoutError: If the future didn't finish executing before the given timeout. Exception: If the call raised then that exception will be raised. """ with self._condition: if self._state in [CANCELLED, CANCELLED_AND_NOTIFIED]: raise CancelledError() elif self._state == FINISHED: return self.__get_result() self._condition.wait(timeout) if self._state in [CANCELLED, CANCELLED_AND_NOTIFIED]: raise CancelledError() elif self._state == FINISHED: return self.__get_result() else: raise TimeoutError() def exception_info(self, timeout=None): """Return a tuple of (exception, traceback) raised by the call that the future represents. Args: timeout: The number of seconds to wait for the exception if the future isn't done. If None, then there is no limit on the wait time. Returns: The exception raised by the call that the future represents or None if the call completed without raising. Raises: CancelledError: If the future was cancelled. TimeoutError: If the future didn't finish executing before the given timeout. """ with self._condition: if self._state in [CANCELLED, CANCELLED_AND_NOTIFIED]: raise CancelledError() elif self._state == FINISHED: return self._exception, self._traceback self._condition.wait(timeout) if self._state in [CANCELLED, CANCELLED_AND_NOTIFIED]: raise CancelledError() elif self._state == FINISHED: return self._exception, self._traceback else: raise TimeoutError() def exception(self, timeout=None): """Return the exception raised by the call that the future represents. Args: timeout: The number of seconds to wait for the exception if the future isn't done. If None, then there is no limit on the wait time. Returns: The exception raised by the call that the future represents or None if the call completed without raising. Raises: CancelledError: If the future was cancelled. TimeoutError: If the future didn't finish executing before the given timeout. """ return self.exception_info(timeout)[0] # The following methods should only be used by Executors and in tests. def set_running_or_notify_cancel(self): """Mark the future as running or process any cancel notifications. Should only be used by Executor implementations and unit tests. If the future has been cancelled (cancel() was called and returned True) then any threads waiting on the future completing (though calls to as_completed() or wait()) are notified and False is returned. If the future was not cancelled then it is put in the running state (future calls to running() will return True) and True is returned. This method should be called by Executor implementations before executing the work associated with this future. If this method returns False then the work should not be executed. Returns: False if the Future was cancelled, True otherwise. Raises: RuntimeError: if this method was already called or if set_result() or set_exception() was called. """ with self._condition: if self._state == CANCELLED: self._state = CANCELLED_AND_NOTIFIED for waiter in self._waiters: waiter.add_cancelled(self) # self._condition.notify_all() is not necessary because # self.cancel() triggers a notification. return False elif self._state == PENDING: self._state = RUNNING return True else: LOGGER.critical('Future %s in unexpected state: %s', id(self), self._state) raise RuntimeError('Future in unexpected state') def set_result(self, result): """Sets the return value of work associated with the future. Should only be used by Executor implementations and unit tests. """ with self._condition: self._result = result self._state = FINISHED for waiter in self._waiters: waiter.add_result(self) self._condition.notify_all() self._invoke_callbacks() def set_exception_info(self, exception, traceback): """Sets the result of the future as being the given exception and traceback. Should only be used by Executor implementations and unit tests. """ with self._condition: self._exception = exception self._traceback = traceback self._state = FINISHED for waiter in self._waiters: waiter.add_exception(self) self._condition.notify_all() self._invoke_callbacks() def set_exception(self, exception): """Sets the result of the future as being the given exception. Should only be used by Executor implementations and unit tests. """ self.set_exception_info(exception, None) class Executor(object): """This is an abstract base class for concrete asynchronous executors.""" def submit(self, fn, *args, **kwargs): """Submits a callable to be executed with the given arguments. Schedules the callable to be executed as fn(*args, **kwargs) and returns a Future instance representing the execution of the callable. Returns: A Future representing the given call. """ raise NotImplementedError() def map(self, fn, *iterables, **kwargs): """Returns an iterator equivalent to map(fn, iter). Args: fn: A callable that will take as many arguments as there are passed iterables. timeout: The maximum number of seconds to wait. If None, then there is no limit on the wait time. Returns: An iterator equivalent to: map(func, *iterables) but the calls may be evaluated out-of-order. Raises: TimeoutError: If the entire result iterator could not be generated before the given timeout. Exception: If fn(*args) raises for any values. """ timeout = kwargs.get('timeout') if timeout is not None: end_time = timeout + time.time() fs = [self.submit(fn, *args) for args in itertools.izip(*iterables)] # Yield must be hidden in closure so that the futures are submitted # before the first iterator value is required. def result_iterator(): try: # reverse to keep finishing order fs.reverse() while fs: # Careful not to keep a reference to the popped future if timeout is None: yield fs.pop().result() else: yield fs.pop().result(end_time - time.time()) finally: for future in fs: future.cancel() return result_iterator() def shutdown(self, wait=True): """Clean-up the resources associated with the Executor. It is safe to call this method several times. Otherwise, no other methods can be called after this one. Args: wait: If True then shutdown will not return until all running futures have finished executing and the resources used by the executor have been reclaimed. """ pass def __enter__(self): return self def __exit__(self, exc_type, exc_val, exc_tb): self.shutdown(wait=True) return False class BrokenExecutor(RuntimeError): """ Raised when a executor has become non-functional after a severe failure. """

false

true

f7f5263bea8c729f916374ee3fe5e16ec2785808

4,351

py

Python

graph_compression/compression_lib/compression_wrapper_py2.py

muell-monster/google-research

04d2024f4723bc4be3d639a668c19fb1f6a31478

[ "Apache-2.0" ]

1

2020-12-25T01:18:50.000Z

graph_compression/compression_lib/compression_wrapper_py2.py

thomascherickal/google-research

294a888bbb6678ac255c6422fd703c325cbb0772

[ "Apache-2.0" ]

null

graph_compression/compression_lib/compression_wrapper_py2.py

thomascherickal/google-research

294a888bbb6678ac255c6422fd703c325cbb0772

[ "Apache-2.0" ]

1

2021-09-27T03:17:14.000Z

# coding=utf-8 # Copyright 2020 The Google Research 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 by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """Helper class that wraps around multiple different compression operators. This is the Python 2 only version of compression_wrapper.py. This allows for easier testing of different operators. Rather than importing each operator separately, this class can be used and different compression_option values can be passed in to specifiy the operator type. compression_option: 1 - LowRankDecompMatrixCompressor 2 - SimhashMatrixCompressor 3 - DLMatrixCompressor (currently unavailable for Python 2); 4 - KmeansMatrixCompressor 8 - KmeansAndPruningMatrixCompressor 9 - InputCompressor """ from __future__ import absolute_import from absl import logging from graph_compression.compression_lib import compression_op as comp_op from graph_compression.compression_lib import simhash_compression_op as simhash_comp_op _COMPRESSION_OPTIONS = [1, 2, 4, 8, 9] def get_apply_compression(compression_op_spec, global_step): """Returns apply_compression operation matching compression_option input.""" compressor_spec = comp_op.LowRankDecompMatrixCompressor.get_default_hparams() compressor_spec.set_hparam('rank', compression_op_spec.rank) compressor_spec.set_hparam('block_size', compression_op_spec.block_size) logging.info('Compressor spec %s', compressor_spec.to_json()) logging.info('Compression operator spec %s', compression_op_spec.to_json()) if compression_op_spec.compression_option not in _COMPRESSION_OPTIONS: logging.info( 'Compression_option %s not in expected options: %s. ' 'Will use low_rank decomp by default.', str(compression_op_spec.compression_option), ','.join([str(opt) for opt in _COMPRESSION_OPTIONS])) compression_op_spec.compression_option = 1 apply_compression = None if compression_op_spec.compression_option == 1: compressor = comp_op.LowRankDecompMatrixCompressor(spec=compressor_spec) apply_compression = comp_op.ApplyCompression( scope='default_scope', compression_spec=compression_op_spec, compressor=compressor, global_step=global_step) elif compression_op_spec.compression_option == 2: compressor_spec.set_hparam('is_b_matrix_trainable', False) compressor = simhash_comp_op.SimhashMatrixCompressor(spec=compressor_spec) apply_compression = simhash_comp_op.SimhashApplyCompression( scope='default_scope', compression_spec=compression_op_spec, compressor=compressor, global_step=global_step) elif compression_op_spec.compression_option == 4: compressor_spec.set_hparam('is_b_matrix_trainable', True) compressor = simhash_comp_op.KmeansMatrixCompressor(spec=compressor_spec) apply_compression = simhash_comp_op.SimhashApplyCompression( scope='default_scope', compression_spec=compression_op_spec, compressor=compressor, global_step=global_step) elif compression_op_spec.compression_option == 8: compressor_spec.set_hparam('is_b_matrix_trainable', True) compressor = simhash_comp_op.KmeansMatrixCompressor(spec=compressor_spec) apply_compression = simhash_comp_op.SimhashApplyCompression( scope='default_scope', compression_spec=compression_op_spec, compressor=compressor, global_step=global_step) elif compression_op_spec.compression_option == 9: compressor_spec.set_hparam('is_b_matrix_trainable', True) compressor_spec.set_hparam('is_c_matrix_trainable', True) compressor = comp_op.LowRankDecompMatrixCompressor(spec=compressor_spec) apply_compression = comp_op.ApplyCompression( scope='default_scope', compression_spec=compression_op_spec, compressor=compressor, global_step=global_step) return apply_compression

43.079208

87

0.781659

from __future__ import absolute_import from absl import logging from graph_compression.compression_lib import compression_op as comp_op from graph_compression.compression_lib import simhash_compression_op as simhash_comp_op _COMPRESSION_OPTIONS = [1, 2, 4, 8, 9] def get_apply_compression(compression_op_spec, global_step): compressor_spec = comp_op.LowRankDecompMatrixCompressor.get_default_hparams() compressor_spec.set_hparam('rank', compression_op_spec.rank) compressor_spec.set_hparam('block_size', compression_op_spec.block_size) logging.info('Compressor spec %s', compressor_spec.to_json()) logging.info('Compression operator spec %s', compression_op_spec.to_json()) if compression_op_spec.compression_option not in _COMPRESSION_OPTIONS: logging.info( 'Compression_option %s not in expected options: %s. ' 'Will use low_rank decomp by default.', str(compression_op_spec.compression_option), ','.join([str(opt) for opt in _COMPRESSION_OPTIONS])) compression_op_spec.compression_option = 1 apply_compression = None if compression_op_spec.compression_option == 1: compressor = comp_op.LowRankDecompMatrixCompressor(spec=compressor_spec) apply_compression = comp_op.ApplyCompression( scope='default_scope', compression_spec=compression_op_spec, compressor=compressor, global_step=global_step) elif compression_op_spec.compression_option == 2: compressor_spec.set_hparam('is_b_matrix_trainable', False) compressor = simhash_comp_op.SimhashMatrixCompressor(spec=compressor_spec) apply_compression = simhash_comp_op.SimhashApplyCompression( scope='default_scope', compression_spec=compression_op_spec, compressor=compressor, global_step=global_step) elif compression_op_spec.compression_option == 4: compressor_spec.set_hparam('is_b_matrix_trainable', True) compressor = simhash_comp_op.KmeansMatrixCompressor(spec=compressor_spec) apply_compression = simhash_comp_op.SimhashApplyCompression( scope='default_scope', compression_spec=compression_op_spec, compressor=compressor, global_step=global_step) elif compression_op_spec.compression_option == 8: compressor_spec.set_hparam('is_b_matrix_trainable', True) compressor = simhash_comp_op.KmeansMatrixCompressor(spec=compressor_spec) apply_compression = simhash_comp_op.SimhashApplyCompression( scope='default_scope', compression_spec=compression_op_spec, compressor=compressor, global_step=global_step) elif compression_op_spec.compression_option == 9: compressor_spec.set_hparam('is_b_matrix_trainable', True) compressor_spec.set_hparam('is_c_matrix_trainable', True) compressor = comp_op.LowRankDecompMatrixCompressor(spec=compressor_spec) apply_compression = comp_op.ApplyCompression( scope='default_scope', compression_spec=compression_op_spec, compressor=compressor, global_step=global_step) return apply_compression

true

f7f526c0fc47613a272c254a30c9cf1db2eb479b

8,142

py

Python

datalad/support/tests/test_globbedpaths.py

soichih/datalad

797dde3ab7497be170e2c4ea8824f33a4b38e5d8

[ "MIT" ]

null

datalad/support/tests/test_globbedpaths.py

soichih/datalad

797dde3ab7497be170e2c4ea8824f33a4b38e5d8

[ "MIT" ]

null

datalad/support/tests/test_globbedpaths.py

soichih/datalad

797dde3ab7497be170e2c4ea8824f33a4b38e5d8

[ "MIT" ]

null

# emacs: -*- mode: python; py-indent-offset: 4; tab-width: 4; indent-tabs-mode: nil -*-; coding: utf-8 -*- # ex: set sts=4 ts=4 sw=4 et: # ## ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ## # # See COPYING file distributed along with the datalad package for the # copyright and license terms. # # ## ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ## """test GlobbedPaths """ __docformat__ = 'restructuredtext' import logging import os.path as op from itertools import product from unittest.mock import patch from datalad.tests.utils_pytest import ( OBSCURE_FILENAME, assert_in, eq_, swallow_logs, with_tree, ) from ..globbedpaths import GlobbedPaths def test_globbedpaths_get_sub_patterns(): gp = GlobbedPaths([], "doesn't matter") for pat, expected in [ # If there are no patterns in the directory component, we get no # sub-patterns. ("", []), ("nodir", []), (op.join("nomagic", "path"), []), (op.join("nomagic", "path*"), []), # Create sub-patterns from leading path, successively dropping the # right-most component. (op.join("s*", "path"), ["s*" + op.sep]), (op.join("s", "ss*", "path"), [op.join("s", "ss*") + op.sep]), (op.join("s", "ss*", "path*"), [op.join("s", "ss*") + op.sep]), (op.join("s", "ss*" + op.sep), []), (op.join("s*", "ss", "path*"), [op.join("s*", "ss") + op.sep, "s*" + op.sep]), (op.join("s?", "ss", "sss*", "path*"), [op.join("s?", "ss", "sss*") + op.sep, op.join("s?", "ss") + op.sep, "s?" + op.sep])]: eq_(gp._get_sub_patterns(pat), expected) bOBSCURE_FILENAME = f"b{OBSCURE_FILENAME}.dat" @with_tree(tree={"1.txt": "", "2.dat": "", "3.txt": "", bOBSCURE_FILENAME: "", "subdir": {"1.txt": "", "2.txt": "", "subsub": {"3.dat": ""}}}) def test_globbedpaths(path=None): dotdir = op.curdir + op.sep for patterns, expected in [ (["1.txt", "2.dat"], {"1.txt", "2.dat"}), ([dotdir + "1.txt", "2.dat"], {dotdir + "1.txt", "2.dat"}), (["*.txt", "*.dat"], {"1.txt", "2.dat", bOBSCURE_FILENAME, "3.txt"}), ([dotdir + "*.txt", "*.dat"], {dotdir + "1.txt", "2.dat", bOBSCURE_FILENAME, dotdir + "3.txt"}), ([op.join("subdir", "*.txt")], {op.join("subdir", "1.txt"), op.join("subdir", "2.txt")}), (["subdir" + op.sep], {"subdir" + op.sep}), ([dotdir + op.join("subdir", "*.txt")], {dotdir + op.join(*ps) for ps in [("subdir", "1.txt"), ("subdir", "2.txt")]}), (["*.txt"], {"1.txt", "3.txt"}), ([op.join("subdir", "**")], {op.join(*ps) for ps in [("subdir" + op.sep,), ("subdir", "subsub"), ("subdir", "1.txt"), ("subdir", "2.txt"), ("subdir", "subsub", "3.dat")]}), ([dotdir + op.join("**", "*.dat")], {dotdir + op.join("2.dat"), dotdir + bOBSCURE_FILENAME, dotdir + op.join("subdir", "subsub", "3.dat")})]: gp = GlobbedPaths(patterns, pwd=path) eq_(set(gp.expand()), expected) eq_(set(gp.expand(full=True)), {op.join(path, p) for p in expected}) pardir = op.pardir + op.sep subdir_path = op.join(path, "subdir") for patterns, expected in [ (["*.txt"], {"1.txt", "2.txt"}), ([dotdir + "*.txt"], {dotdir + p for p in ["1.txt", "2.txt"]}), ([pardir + "*.txt"], {pardir + p for p in ["1.txt", "3.txt"]}), ([dotdir + pardir + "*.txt"], {dotdir + pardir + p for p in ["1.txt", "3.txt"]}), # Patterns that don't match are retained by default. (["amiss"], {"amiss"})]: gp = GlobbedPaths(patterns, pwd=subdir_path) eq_(set(gp.expand()), expected) eq_(set(gp.expand(full=True)), {op.join(subdir_path, p) for p in expected}) # Full patterns still get returned as relative to pwd. gp = GlobbedPaths([op.join(path, "*.dat")], pwd=path) eq_(gp.expand(), ["2.dat", bOBSCURE_FILENAME]) # "." gets special treatment. gp = GlobbedPaths([".", "*.dat"], pwd=path) eq_(set(gp.expand()), {"2.dat", bOBSCURE_FILENAME, "."}) eq_(gp.expand(dot=False), ["2.dat", bOBSCURE_FILENAME]) gp = GlobbedPaths(["."], pwd=path, expand=False) eq_(gp.expand(), ["."]) eq_(gp.paths, ["."]) # We can the glob outputs. glob_results = {"z": "z", "a": ["x", "d", "b"]} with patch('glob.glob', lambda k, **kwargs: glob_results[k]): gp = GlobbedPaths(["z", "a"]) eq_(gp.expand(), ["z", "b", "d", "x"]) # glob expansion for paths property is determined by expand argument. for expand, expected in [(True, ["2.dat", bOBSCURE_FILENAME]), (False, ["*.dat"])]: gp = GlobbedPaths(["*.dat"], pwd=path, expand=expand) eq_(gp.paths, expected) with swallow_logs(new_level=logging.DEBUG) as cml: GlobbedPaths(["not here"], pwd=path).expand() assert_in("No matching files found for 'not here'", cml.out) @with_tree(tree={"1.txt": "", "2.dat": "", "3.txt": ""}) def test_globbedpaths_misses(path=None): gp = GlobbedPaths(["amiss"], pwd=path) eq_(gp.expand_strict(), []) eq_(gp.misses, ["amiss"]) eq_(gp.expand(include_misses=True), ["amiss"]) # miss at beginning gp = GlobbedPaths(["amiss", "*.txt", "*.dat"], pwd=path) eq_(gp.expand_strict(), ["1.txt", "3.txt", "2.dat"]) eq_(gp.expand(include_misses=True), ["amiss", "1.txt", "3.txt", "2.dat"]) # miss in middle gp = GlobbedPaths(["*.txt", "amiss", "*.dat"], pwd=path) eq_(gp.expand_strict(), ["1.txt", "3.txt", "2.dat"]) eq_(gp.misses, ["amiss"]) eq_(gp.expand(include_misses=True), ["1.txt", "3.txt", "amiss", "2.dat"]) # miss at end gp = GlobbedPaths(["*.txt", "*.dat", "amiss"], pwd=path) eq_(gp.expand_strict(), ["1.txt", "3.txt", "2.dat"]) eq_(gp.misses, ["amiss"]) eq_(gp.expand(include_misses=True), ["1.txt", "3.txt", "2.dat", "amiss"]) # miss at beginning, middle, and end gp = GlobbedPaths(["amiss1", "amiss2", "*.txt", "amiss3", "*.dat", "amiss4"], pwd=path) eq_(gp.expand_strict(), ["1.txt", "3.txt", "2.dat"]) eq_(gp.misses, ["amiss1", "amiss2", "amiss3", "amiss4"]) eq_(gp.expand(include_misses=True), ["amiss1", "amiss2", "1.txt", "3.txt", "amiss3", "2.dat", "amiss4"]) # Property expands if needed. gp = GlobbedPaths(["amiss"], pwd=path) eq_(gp.misses, ["amiss"]) @with_tree(tree={"adir": {}, "bdir": {}, "other": {}, "1.txt": "", "2.dat": "", "3.txt": ""}) def test_globbedpaths_partial_matches(path=None): gp = GlobbedPaths([op.join("?dir", "*.txt"), "*.txt"], pwd=path) eq_(gp.expand_strict(), ["1.txt", "3.txt"]) expected_partial = ["adir" + op.sep, "bdir" + op.sep] eq_(gp.partial_hits, expected_partial) eq_(gp.expand(include_partial=True), expected_partial + ["1.txt", "3.txt"]) # Property expands if needed. gp = GlobbedPaths([op.join("?dir", "*.txt")], pwd=path) eq_(gp.partial_hits, expected_partial) @with_tree(tree={"1.txt": "", "2.dat": "", "3.txt": "", "foo.dat": ""}) def test_globbedpaths_cached(path=None): # Smoke test to trigger cache handling. gp = GlobbedPaths([op.join("?", ".dat"), "*.txt"], pwd=path) for full, partial, misses in product([False, True], repeat=3): eq_(gp.expand(full=full, include_misses=misses, include_partial=partial), gp.expand(full=full, include_misses=misses, include_partial=partial))

38.771429

106

0.498649

= GlobbedPaths(["*.dat"], pwd=path, expand=expand) eq_(gp.paths, expected) with swallow_logs(new_level=logging.DEBUG) as cml: GlobbedPaths(["not here"], pwd=path).expand() assert_in("No matching files found for 'not here'", cml.out) @with_tree(tree={"1.txt": "", "2.dat": "", "3.txt": ""}) def test_globbedpaths_misses(path=None): gp = GlobbedPaths(["amiss"], pwd=path) eq_(gp.expand_strict(), []) eq_(gp.misses, ["amiss"]) eq_(gp.expand(include_misses=True), ["amiss"]) gp = GlobbedPaths(["amiss", "*.txt", "*.dat"], pwd=path) eq_(gp.expand_strict(), ["1.txt", "3.txt", "2.dat"]) eq_(gp.expand(include_misses=True), ["amiss", "1.txt", "3.txt", "2.dat"]) gp = GlobbedPaths(["*.txt", "amiss", "*.dat"], pwd=path) eq_(gp.expand_strict(), ["1.txt", "3.txt", "2.dat"]) eq_(gp.misses, ["amiss"]) eq_(gp.expand(include_misses=True), ["1.txt", "3.txt", "amiss", "2.dat"]) gp = GlobbedPaths(["*.txt", "*.dat", "amiss"], pwd=path) eq_(gp.expand_strict(), ["1.txt", "3.txt", "2.dat"]) eq_(gp.misses, ["amiss"]) eq_(gp.expand(include_misses=True), ["1.txt", "3.txt", "2.dat", "amiss"]) gp = GlobbedPaths(["amiss1", "amiss2", "*.txt", "amiss3", "*.dat", "amiss4"], pwd=path) eq_(gp.expand_strict(), ["1.txt", "3.txt", "2.dat"]) eq_(gp.misses, ["amiss1", "amiss2", "amiss3", "amiss4"]) eq_(gp.expand(include_misses=True), ["amiss1", "amiss2", "1.txt", "3.txt", "amiss3", "2.dat", "amiss4"]) gp = GlobbedPaths(["amiss"], pwd=path) eq_(gp.misses, ["amiss"]) @with_tree(tree={"adir": {}, "bdir": {}, "other": {}, "1.txt": "", "2.dat": "", "3.txt": ""}) def test_globbedpaths_partial_matches(path=None): gp = GlobbedPaths([op.join("?dir", "*.txt"), "*.txt"], pwd=path) eq_(gp.expand_strict(), ["1.txt", "3.txt"]) expected_partial = ["adir" + op.sep, "bdir" + op.sep] eq_(gp.partial_hits, expected_partial) eq_(gp.expand(include_partial=True), expected_partial + ["1.txt", "3.txt"]) gp = GlobbedPaths([op.join("?dir", "*.txt")], pwd=path) eq_(gp.partial_hits, expected_partial) @with_tree(tree={"1.txt": "", "2.dat": "", "3.txt": "", "foo.dat": ""}) def test_globbedpaths_cached(path=None): gp = GlobbedPaths([op.join("?", ".dat"), "*.txt"], pwd=path) for full, partial, misses in product([False, True], repeat=3): eq_(gp.expand(full=full, include_misses=misses, include_partial=partial), gp.expand(full=full, include_misses=misses, include_partial=partial))

true

f7f5272b1bae5fb19b57d5e116d5b380aab04320

1,161

py

Python

nssrc/com/citrix/netscaler/nitro/resource/config/basic/server_args.py

benfinke/ns_python

d651d7aa01d7dc63c1cd435c7b3314d7f5b26659

[ "Apache-2.0" ]

1

2015-04-05T21:21:26.000Z

nssrc/com/citrix/netscaler/nitro/resource/config/basic/server_args.py

benfinke/ns_python

d651d7aa01d7dc63c1cd435c7b3314d7f5b26659

[ "Apache-2.0" ]

1

2017-01-20T22:56:58.000Z

nssrc/com/citrix/netscaler/nitro/resource/config/basic/server_args.py

benfinke/ns_python

d651d7aa01d7dc63c1cd435c7b3314d7f5b26659

[ "Apache-2.0" ]

6

2015-04-21T13:14:08.000Z

2020-12-03T07:27:52.000Z

# # Copyright (c) 2008-2015 Citrix Systems, 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 in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # class server_args : ur""" Provides additional arguments required for fetching the server resource. """ def __init__(self) : self._Internal = False @property def Internal(self) : ur"""Display names of the servers that have been created for internal use. """ try : return self._Internal except Exception as e: raise e @Internal.setter def Internal(self, Internal) : ur"""Display names of the servers that have been created for internal use. """ try : self._Internal = Internal except Exception as e: raise e

27.642857

79

0.720069

class server_args : ur""" Provides additional arguments required for fetching the server resource. """ def __init__(self) : self._Internal = False @property def Internal(self) : ur"""Display names of the servers that have been created for internal use. """ try : return self._Internal except Exception as e: raise e @Internal.setter def Internal(self, Internal) : ur"""Display names of the servers that have been created for internal use. """ try : self._Internal = Internal except Exception as e: raise e

false

true

f7f5273cfe45338906797e8f9796282479ab68a5

1,425

py

Python

pyimagesearch gurus/Module 1/lesson_1_9/simple_thresholding.py

Ali-Parandeh/Data_Science_Playground

c529e9b3692381572de259e7c93938d6611d83da

[ "MIT" ]

null

pyimagesearch gurus/Module 1/lesson_1_9/simple_thresholding.py

Ali-Parandeh/Data_Science_Playground

c529e9b3692381572de259e7c93938d6611d83da

[ "MIT" ]

null

pyimagesearch gurus/Module 1/lesson_1_9/simple_thresholding.py

Ali-Parandeh/Data_Science_Playground

c529e9b3692381572de259e7c93938d6611d83da

[ "MIT" ]

1

2021-03-10T09:40:05.000Z

# import the necessary packages import argparse import cv2 # construct the argument parser and parse the arguments ap = argparse.ArgumentParser() ap.add_argument("-i", "--image", required=True, help="Path to the image") args = vars(ap.parse_args()) # load the image, convert it to grayscale and blur it slightly # NOTE: Applying Gaussian blurring helps remove some of the high frequency edges # in the image that we are not concerned with and allow us to obtain a more “clean” segmentation. image = cv2.imread(args['image']) gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) blurred = cv2.GaussianBlur(gray, (7, 7), 0) cv2.imshow('Image', image) # apply basic thresholding -- the first parameter is the image # we want to threshold, the second value is our threshold check # if a pixel value is greater than our threshold (in this case, # 200), we set it to be BLACK, otherwise it is WHITE. (T, threshInv) = cv2.threshold(blurred, 200, 255, cv2.THRESH_BINARY_INV) cv2.imshow('Threshold Binary Invserse', threshInv) # apply basic thresholding (rather than inverse thresholding) # we can change the last argument in the function to make the coins black rather than white (T, thresh) = cv2.threshold(blurred, 200, 255, cv2.THRESH_BINARY) cv2.imshow('Threshold Binary', thresh) # finally, we can visualise only the marked regions in the image cv2.imshow('Output', cv2.bitwise_and(image, image, mask=threshInv)) cv2.waitKey(0)

41.911765

97

0.76

import argparse import cv2 ap = argparse.ArgumentParser() ap.add_argument("-i", "--image", required=True, help="Path to the image") args = vars(ap.parse_args()) image = cv2.imread(args['image']) gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) blurred = cv2.GaussianBlur(gray, (7, 7), 0) cv2.imshow('Image', image) (T, threshInv) = cv2.threshold(blurred, 200, 255, cv2.THRESH_BINARY_INV) cv2.imshow('Threshold Binary Invserse', threshInv) (T, thresh) = cv2.threshold(blurred, 200, 255, cv2.THRESH_BINARY) cv2.imshow('Threshold Binary', thresh) cv2.imshow('Output', cv2.bitwise_and(image, image, mask=threshInv)) cv2.waitKey(0)

true

f7f5276b215210aa75b0ea40c745c38dc81f8c0a

16,013

py

Python

tests/server.py

Akkowicz/synapse

7859c4d079ab707520252d6210cf4bc3d4e54902

[ "Apache-2.0" ]

null

tests/server.py

Akkowicz/synapse

7859c4d079ab707520252d6210cf4bc3d4e54902

[ "Apache-2.0" ]

null

tests/server.py

Akkowicz/synapse

7859c4d079ab707520252d6210cf4bc3d4e54902

[ "Apache-2.0" ]

null

import json import logging from io import SEEK_END, BytesIO import attr from zope.interface import implementer from twisted.internet import address, threads, udp from twisted.internet._resolver import SimpleResolverComplexifier from twisted.internet.defer import Deferred, fail, succeed from twisted.internet.error import DNSLookupError from twisted.internet.interfaces import ( IReactorPluggableNameResolver, IReactorTCP, IResolverSimple, ) from twisted.python.failure import Failure from twisted.test.proto_helpers import AccumulatingProtocol, MemoryReactorClock from twisted.web.http import unquote from twisted.web.http_headers import Headers from twisted.web.server import Site from synapse.http.site import SynapseRequest from synapse.util import Clock from tests.utils import setup_test_homeserver as _sth logger = logging.getLogger(__name__) class TimedOutException(Exception): """ A web query timed out. """ @attr.s class FakeChannel: """ A fake Twisted Web Channel (the part that interfaces with the wire). """ site = attr.ib(type=Site) _reactor = attr.ib() result = attr.ib(default=attr.Factory(dict)) _producer = None @property def json_body(self): if not self.result: raise Exception("No result yet.") return json.loads(self.result["body"].decode("utf8")) @property def code(self): if not self.result: raise Exception("No result yet.") return int(self.result["code"]) @property def headers(self): if not self.result: raise Exception("No result yet.") h = Headers() for i in self.result["headers"]: h.addRawHeader(*i) return h def writeHeaders(self, version, code, reason, headers): self.result["version"] = version self.result["code"] = code self.result["reason"] = reason self.result["headers"] = headers def write(self, content): assert isinstance(content, bytes), "Should be bytes! " + repr(content) if "body" not in self.result: self.result["body"] = b"" self.result["body"] += content def registerProducer(self, producer, streaming): self._producer = producer self.producerStreaming = streaming def _produce(): if self._producer: self._producer.resumeProducing() self._reactor.callLater(0.1, _produce) if not streaming: self._reactor.callLater(0.0, _produce) def unregisterProducer(self): if self._producer is None: return self._producer = None def requestDone(self, _self): self.result["done"] = True def getPeer(self): # We give an address so that getClientIP returns a non null entry, # causing us to record the MAU return address.IPv4Address("TCP", "127.0.0.1", 3423) def getHost(self): return None @property def transport(self): return self class FakeSite: """ A fake Twisted Web Site, with mocks of the extra things that Synapse adds. """ server_version_string = b"1" site_tag = "test" access_logger = logging.getLogger("synapse.access.http.fake") def make_request( reactor, method, path, content=b"", access_token=None, request=SynapseRequest, shorthand=True, federation_auth_origin=None, content_is_form=False, ): """ Make a web request using the given method and path, feed it the content, and return the Request and the Channel underneath. Args: method (bytes/unicode): The HTTP request method ("verb"). path (bytes/unicode): The HTTP path, suitably URL encoded (e.g. escaped UTF-8 & spaces and such). content (bytes or dict): The body of the request. JSON-encoded, if a dict. shorthand: Whether to try and be helpful and prefix the given URL with the usual REST API path, if it doesn't contain it. federation_auth_origin (bytes|None): if set to not-None, we will add a fake Authorization header pretenting to be the given server name. content_is_form: Whether the content is URL encoded form data. Adds the 'Content-Type': 'application/x-www-form-urlencoded' header. Returns: Tuple[synapse.http.site.SynapseRequest, channel] """ if not isinstance(method, bytes): method = method.encode("ascii") if not isinstance(path, bytes): path = path.encode("ascii") # Decorate it to be the full path, if we're using shorthand if ( shorthand and not path.startswith(b"/_matrix") and not path.startswith(b"/_synapse") ): path = b"/_matrix/client/r0/" + path path = path.replace(b"//", b"/") if not path.startswith(b"/"): path = b"/" + path if isinstance(content, str): content = content.encode("utf8") site = FakeSite() channel = FakeChannel(site, reactor) req = request(channel) req.process = lambda: b"" req.content = BytesIO(content) # Twisted expects to be at the end of the content when parsing the request. req.content.seek(SEEK_END) req.postpath = list(map(unquote, path[1:].split(b"/"))) if access_token: req.requestHeaders.addRawHeader( b"Authorization", b"Bearer " + access_token.encode("ascii") ) if federation_auth_origin is not None: req.requestHeaders.addRawHeader( b"Authorization", b"X-Matrix origin=%s,key=,sig=" % (federation_auth_origin,), ) if content: if content_is_form: req.requestHeaders.addRawHeader( b"Content-Type", b"application/x-www-form-urlencoded" ) else: # Assume the body is JSON req.requestHeaders.addRawHeader(b"Content-Type", b"application/json") req.requestReceived(method, path, b"1.1") return req, channel def wait_until_result(clock, request, timeout=100): """ Wait until the request is finished. """ clock.run() x = 0 while not request.finished: # If there's a producer, tell it to resume producing so we get content if request._channel._producer: request._channel._producer.resumeProducing() x += 1 if x > timeout: raise TimedOutException("Timed out waiting for request to finish.") clock.advance(0.1) def render(request, resource, clock): request.render(resource) wait_until_result(clock, request) @implementer(IReactorPluggableNameResolver) class ThreadedMemoryReactorClock(MemoryReactorClock): """ A MemoryReactorClock that supports callFromThread. """ def __init__(self): self.threadpool = ThreadPool(self) self._tcp_callbacks = {} self._udp = [] lookups = self.lookups = {} @implementer(IResolverSimple) class FakeResolver: def getHostByName(self, name, timeout=None): if name not in lookups: return fail(DNSLookupError("OH NO: unknown %s" % (name,))) return succeed(lookups[name]) self.nameResolver = SimpleResolverComplexifier(FakeResolver()) super().__init__() def listenUDP(self, port, protocol, interface="", maxPacketSize=8196): p = udp.Port(port, protocol, interface, maxPacketSize, self) p.startListening() self._udp.append(p) return p def callFromThread(self, callback, *args, **kwargs): """ Make the callback fire in the next reactor iteration. """ d = Deferred() d.addCallback(lambda x: callback(*args, **kwargs)) self.callLater(0, d.callback, True) return d def getThreadPool(self): return self.threadpool def add_tcp_client_callback(self, host, port, callback): """Add a callback that will be invoked when we receive a connection attempt to the given IP/port using `connectTCP`. Note that the callback gets run before we return the connection to the client, which means callbacks cannot block while waiting for writes. """ self._tcp_callbacks[(host, port)] = callback def connectTCP(self, host, port, factory, timeout=30, bindAddress=None): """Fake L{IReactorTCP.connectTCP}. """ conn = super().connectTCP( host, port, factory, timeout=timeout, bindAddress=None ) callback = self._tcp_callbacks.get((host, port)) if callback: callback() return conn class ThreadPool: """ Threadless thread pool. """ def __init__(self, reactor): self._reactor = reactor def start(self): pass def stop(self): pass def callInThreadWithCallback(self, onResult, function, *args, **kwargs): def _(res): if isinstance(res, Failure): onResult(False, res) else: onResult(True, res) d = Deferred() d.addCallback(lambda x: function(*args, **kwargs)) d.addBoth(_) self._reactor.callLater(0, d.callback, True) return d def setup_test_homeserver(cleanup_func, *args, **kwargs): """ Set up a synchronous test server, driven by the reactor used by the homeserver. """ server = _sth(cleanup_func, *args, **kwargs) database = server.config.database.get_single_database() # Make the thread pool synchronous. clock = server.get_clock() for database in server.get_datastores().databases: pool = database._db_pool def runWithConnection(func, *args, **kwargs): return threads.deferToThreadPool( pool._reactor, pool.threadpool, pool._runWithConnection, func, *args, **kwargs ) def runInteraction(interaction, *args, **kwargs): return threads.deferToThreadPool( pool._reactor, pool.threadpool, pool._runInteraction, interaction, *args, **kwargs ) pool.runWithConnection = runWithConnection pool.runInteraction = runInteraction pool.threadpool = ThreadPool(clock._reactor) pool.running = True # We've just changed the Databases to run DB transactions on the same # thread, so we need to disable the dedicated thread behaviour. server.get_datastores().main.USE_DEDICATED_DB_THREADS_FOR_EVENT_FETCHING = False return server def get_clock(): clock = ThreadedMemoryReactorClock() hs_clock = Clock(clock) return clock, hs_clock @attr.s(cmp=False) class FakeTransport: """ A twisted.internet.interfaces.ITransport implementation which sends all its data straight into an IProtocol object: it exists to connect two IProtocols together. To use it, instantiate it with the receiving IProtocol, and then pass it to the sending IProtocol's makeConnection method: server = HTTPChannel() client.makeConnection(FakeTransport(server, self.reactor)) If you want bidirectional communication, you'll need two instances. """ other = attr.ib() """The Protocol object which will receive any data written to this transport. :type: twisted.internet.interfaces.IProtocol """ _reactor = attr.ib() """Test reactor :type: twisted.internet.interfaces.IReactorTime """ _protocol = attr.ib(default=None) """The Protocol which is producing data for this transport. Optional, but if set will get called back for connectionLost() notifications etc. """ disconnecting = False disconnected = False connected = True buffer = attr.ib(default=b"") producer = attr.ib(default=None) autoflush = attr.ib(default=True) def getPeer(self): return None def getHost(self): return None def loseConnection(self, reason=None): if not self.disconnecting: logger.info("FakeTransport: loseConnection(%s)", reason) self.disconnecting = True if self._protocol: self._protocol.connectionLost(reason) # if we still have data to write, delay until that is done if self.buffer: logger.info( "FakeTransport: Delaying disconnect until buffer is flushed" ) else: self.connected = False self.disconnected = True def abortConnection(self): logger.info("FakeTransport: abortConnection()") if not self.disconnecting: self.disconnecting = True if self._protocol: self._protocol.connectionLost(None) self.disconnected = True def pauseProducing(self): if not self.producer: return self.producer.pauseProducing() def resumeProducing(self): if not self.producer: return self.producer.resumeProducing() def unregisterProducer(self): if not self.producer: return self.producer = None def registerProducer(self, producer, streaming): self.producer = producer self.producerStreaming = streaming def _produce(): d = self.producer.resumeProducing() d.addCallback(lambda x: self._reactor.callLater(0.1, _produce)) if not streaming: self._reactor.callLater(0.0, _produce) def write(self, byt): if self.disconnecting: raise Exception("Writing to disconnecting FakeTransport") self.buffer = self.buffer + byt # always actually do the write asynchronously. Some protocols (notably the # TLSMemoryBIOProtocol) get very confused if a read comes back while they are # still doing a write. Doing a callLater here breaks the cycle. if self.autoflush: self._reactor.callLater(0.0, self.flush) def writeSequence(self, seq): for x in seq: self.write(x) def flush(self, maxbytes=None): if not self.buffer: # nothing to do. Don't write empty buffers: it upsets the # TLSMemoryBIOProtocol return if self.disconnected: return if getattr(self.other, "transport") is None: # the other has no transport yet; reschedule if self.autoflush: self._reactor.callLater(0.0, self.flush) return if maxbytes is not None: to_write = self.buffer[:maxbytes] else: to_write = self.buffer logger.info("%s->%s: %s", self._protocol, self.other, to_write) try: self.other.dataReceived(to_write) except Exception as e: logger.exception("Exception writing to protocol: %s", e) return self.buffer = self.buffer[len(to_write) :] if self.buffer and self.autoflush: self._reactor.callLater(0.0, self.flush) if not self.buffer and self.disconnecting: logger.info("FakeTransport: Buffer now empty, completing disconnect") self.disconnected = True def connect_client(reactor: IReactorTCP, client_id: int) -> AccumulatingProtocol: """ Connect a client to a fake TCP transport. Args: reactor factory: The connecting factory to build. """ factory = reactor.tcpClients[client_id][2] client = factory.buildProtocol(None) server = AccumulatingProtocol() server.makeConnection(FakeTransport(client, reactor)) client.makeConnection(FakeTransport(server, reactor)) reactor.tcpClients.pop(client_id) return client, server

28.748654

85

0.627053

import json import logging from io import SEEK_END, BytesIO import attr from zope.interface import implementer from twisted.internet import address, threads, udp from twisted.internet._resolver import SimpleResolverComplexifier from twisted.internet.defer import Deferred, fail, succeed from twisted.internet.error import DNSLookupError from twisted.internet.interfaces import ( IReactorPluggableNameResolver, IReactorTCP, IResolverSimple, ) from twisted.python.failure import Failure from twisted.test.proto_helpers import AccumulatingProtocol, MemoryReactorClock from twisted.web.http import unquote from twisted.web.http_headers import Headers from twisted.web.server import Site from synapse.http.site import SynapseRequest from synapse.util import Clock from tests.utils import setup_test_homeserver as _sth logger = logging.getLogger(__name__) class TimedOutException(Exception): @attr.s class FakeChannel: site = attr.ib(type=Site) _reactor = attr.ib() result = attr.ib(default=attr.Factory(dict)) _producer = None @property def json_body(self): if not self.result: raise Exception("No result yet.") return json.loads(self.result["body"].decode("utf8")) @property def code(self): if not self.result: raise Exception("No result yet.") return int(self.result["code"]) @property def headers(self): if not self.result: raise Exception("No result yet.") h = Headers() for i in self.result["headers"]: h.addRawHeader(*i) return h def writeHeaders(self, version, code, reason, headers): self.result["version"] = version self.result["code"] = code self.result["reason"] = reason self.result["headers"] = headers def write(self, content): assert isinstance(content, bytes), "Should be bytes! " + repr(content) if "body" not in self.result: self.result["body"] = b"" self.result["body"] += content def registerProducer(self, producer, streaming): self._producer = producer self.producerStreaming = streaming def _produce(): if self._producer: self._producer.resumeProducing() self._reactor.callLater(0.1, _produce) if not streaming: self._reactor.callLater(0.0, _produce) def unregisterProducer(self): if self._producer is None: return self._producer = None def requestDone(self, _self): self.result["done"] = True def getPeer(self): return address.IPv4Address("TCP", "127.0.0.1", 3423) def getHost(self): return None @property def transport(self): return self class FakeSite: server_version_string = b"1" site_tag = "test" access_logger = logging.getLogger("synapse.access.http.fake") def make_request( reactor, method, path, content=b"", access_token=None, request=SynapseRequest, shorthand=True, federation_auth_origin=None, content_is_form=False, ): if not isinstance(method, bytes): method = method.encode("ascii") if not isinstance(path, bytes): path = path.encode("ascii") if ( shorthand and not path.startswith(b"/_matrix") and not path.startswith(b"/_synapse") ): path = b"/_matrix/client/r0/" + path path = path.replace(b"//", b"/") if not path.startswith(b"/"): path = b"/" + path if isinstance(content, str): content = content.encode("utf8") site = FakeSite() channel = FakeChannel(site, reactor) req = request(channel) req.process = lambda: b"" req.content = BytesIO(content) # Twisted expects to be at the end of the content when parsing the request. req.content.seek(SEEK_END) req.postpath = list(map(unquote, path[1:].split(b"/"))) if access_token: req.requestHeaders.addRawHeader( b"Authorization", b"Bearer " + access_token.encode("ascii") ) if federation_auth_origin is not None: req.requestHeaders.addRawHeader( b"Authorization", b"X-Matrix origin=%s,key=,sig=" % (federation_auth_origin,), ) if content: if content_is_form: req.requestHeaders.addRawHeader( b"Content-Type", b"application/x-www-form-urlencoded" ) else: # Assume the body is JSON req.requestHeaders.addRawHeader(b"Content-Type", b"application/json") req.requestReceived(method, path, b"1.1") return req, channel def wait_until_result(clock, request, timeout=100): clock.run() x = 0 while not request.finished: # If there's a producer, tell it to resume producing so we get content if request._channel._producer: request._channel._producer.resumeProducing() x += 1 if x > timeout: raise TimedOutException("Timed out waiting for request to finish.") clock.advance(0.1) def render(request, resource, clock): request.render(resource) wait_until_result(clock, request) @implementer(IReactorPluggableNameResolver) class ThreadedMemoryReactorClock(MemoryReactorClock): def __init__(self): self.threadpool = ThreadPool(self) self._tcp_callbacks = {} self._udp = [] lookups = self.lookups = {} @implementer(IResolverSimple) class FakeResolver: def getHostByName(self, name, timeout=None): if name not in lookups: return fail(DNSLookupError("OH NO: unknown %s" % (name,))) return succeed(lookups[name]) self.nameResolver = SimpleResolverComplexifier(FakeResolver()) super().__init__() def listenUDP(self, port, protocol, interface="", maxPacketSize=8196): p = udp.Port(port, protocol, interface, maxPacketSize, self) p.startListening() self._udp.append(p) return p def callFromThread(self, callback, *args, **kwargs): d = Deferred() d.addCallback(lambda x: callback(*args, **kwargs)) self.callLater(0, d.callback, True) return d def getThreadPool(self): return self.threadpool def add_tcp_client_callback(self, host, port, callback): self._tcp_callbacks[(host, port)] = callback def connectTCP(self, host, port, factory, timeout=30, bindAddress=None): conn = super().connectTCP( host, port, factory, timeout=timeout, bindAddress=None ) callback = self._tcp_callbacks.get((host, port)) if callback: callback() return conn class ThreadPool: def __init__(self, reactor): self._reactor = reactor def start(self): pass def stop(self): pass def callInThreadWithCallback(self, onResult, function, *args, **kwargs): def _(res): if isinstance(res, Failure): onResult(False, res) else: onResult(True, res) d = Deferred() d.addCallback(lambda x: function(*args, **kwargs)) d.addBoth(_) self._reactor.callLater(0, d.callback, True) return d def setup_test_homeserver(cleanup_func, *args, **kwargs): server = _sth(cleanup_func, *args, **kwargs) database = server.config.database.get_single_database() clock = server.get_clock() for database in server.get_datastores().databases: pool = database._db_pool def runWithConnection(func, *args, **kwargs): return threads.deferToThreadPool( pool._reactor, pool.threadpool, pool._runWithConnection, func, *args, **kwargs ) def runInteraction(interaction, *args, **kwargs): return threads.deferToThreadPool( pool._reactor, pool.threadpool, pool._runInteraction, interaction, *args, **kwargs ) pool.runWithConnection = runWithConnection pool.runInteraction = runInteraction pool.threadpool = ThreadPool(clock._reactor) pool.running = True # thread, so we need to disable the dedicated thread behaviour. server.get_datastores().main.USE_DEDICATED_DB_THREADS_FOR_EVENT_FETCHING = False return server def get_clock(): clock = ThreadedMemoryReactorClock() hs_clock = Clock(clock) return clock, hs_clock @attr.s(cmp=False) class FakeTransport: other = attr.ib() _reactor = attr.ib() _protocol = attr.ib(default=None) disconnecting = False disconnected = False connected = True buffer = attr.ib(default=b"") producer = attr.ib(default=None) autoflush = attr.ib(default=True) def getPeer(self): return None def getHost(self): return None def loseConnection(self, reason=None): if not self.disconnecting: logger.info("FakeTransport: loseConnection(%s)", reason) self.disconnecting = True if self._protocol: self._protocol.connectionLost(reason) # if we still have data to write, delay until that is done if self.buffer: logger.info( "FakeTransport: Delaying disconnect until buffer is flushed" ) else: self.connected = False self.disconnected = True def abortConnection(self): logger.info("FakeTransport: abortConnection()") if not self.disconnecting: self.disconnecting = True if self._protocol: self._protocol.connectionLost(None) self.disconnected = True def pauseProducing(self): if not self.producer: return self.producer.pauseProducing() def resumeProducing(self): if not self.producer: return self.producer.resumeProducing() def unregisterProducer(self): if not self.producer: return self.producer = None def registerProducer(self, producer, streaming): self.producer = producer self.producerStreaming = streaming def _produce(): d = self.producer.resumeProducing() d.addCallback(lambda x: self._reactor.callLater(0.1, _produce)) if not streaming: self._reactor.callLater(0.0, _produce) def write(self, byt): if self.disconnecting: raise Exception("Writing to disconnecting FakeTransport") self.buffer = self.buffer + byt # always actually do the write asynchronously. Some protocols (notably the # TLSMemoryBIOProtocol) get very confused if a read comes back while they are # still doing a write. Doing a callLater here breaks the cycle. if self.autoflush: self._reactor.callLater(0.0, self.flush) def writeSequence(self, seq): for x in seq: self.write(x) def flush(self, maxbytes=None): if not self.buffer: # nothing to do. Don't write empty buffers: it upsets the return if self.disconnected: return if getattr(self.other, "transport") is None: if self.autoflush: self._reactor.callLater(0.0, self.flush) return if maxbytes is not None: to_write = self.buffer[:maxbytes] else: to_write = self.buffer logger.info("%s->%s: %s", self._protocol, self.other, to_write) try: self.other.dataReceived(to_write) except Exception as e: logger.exception("Exception writing to protocol: %s", e) return self.buffer = self.buffer[len(to_write) :] if self.buffer and self.autoflush: self._reactor.callLater(0.0, self.flush) if not self.buffer and self.disconnecting: logger.info("FakeTransport: Buffer now empty, completing disconnect") self.disconnected = True def connect_client(reactor: IReactorTCP, client_id: int) -> AccumulatingProtocol: factory = reactor.tcpClients[client_id][2] client = factory.buildProtocol(None) server = AccumulatingProtocol() server.makeConnection(FakeTransport(client, reactor)) client.makeConnection(FakeTransport(server, reactor)) reactor.tcpClients.pop(client_id) return client, server

true

f7f52810a4bb10daf2d3ebed24a802e24b2b4a10

36,743

py

Python

all_cnn_bi_skippy_cifar100.py

christiaanlamers/sms-mip-ego

3601efcb9cfe069e8543d3c29a6102ebbeb9a78c

[ "MIT" ]

null

all_cnn_bi_skippy_cifar100.py

christiaanlamers/sms-mip-ego

3601efcb9cfe069e8543d3c29a6102ebbeb9a78c

[ "MIT" ]

null

all_cnn_bi_skippy_cifar100.py

christiaanlamers/sms-mip-ego

3601efcb9cfe069e8543d3c29a6102ebbeb9a78c

[ "MIT" ]

null

from __future__ import print_function import numpy as np #np.random.seed(43) import tensorflow as tf tf.set_random_seed(43) import keras #from keras.datasets import mnist from keras.datasets import cifar100 from keras.preprocessing.image import ImageDataGenerator from keras.models import Sequential from keras.layers import Dense, Dropout, Activation, Flatten from keras.layers import Conv2D, MaxPooling2D, GlobalAveragePooling2D,UpSampling2D,ZeroPadding2D,Concatenate from keras.layers import Layer#CHRIS to define a layer yourself import os import sys import pandas as pd import keras.backend as K import math from keras.callbacks import LearningRateScheduler from keras.regularizers import l2 import time #CHRIS added to measure runtime of training from pynvml import * #CHRIS needed to test gpu memory capacity #from fractions import gcd #CHRIS needed for proper upscaling import setproctitle import json #setproctitle.setproctitle('lamers c, do not use GPU 4-7, 9-15 please') class TimedAccHistory(keras.callbacks.Callback): def on_train_begin(self, logs={}): self.accuracy_log = [] self.timed = [] self.start_time = time.time() def on_epoch_end(self, batch, logs={}): self.accuracy_log.append(logs.get('val_acc')) self.timed.append(time.time() - self.start_time) def inv_gray(num):#TODO only for testing n = 0 while num != 0: n = num ^ n num = num >> 1 return n class Skip_manager(object): def __init__(self,skip_ints,skip_ints_count): self.skip_ints= skip_ints self.skip_ints_count = skip_ints_count self.skip_connections = [] self.layer_num = 0 #layer number of currently build layer def identity(self,num): return num def gray(self,num): return num ^ (num >> 1) def startpoint(self,func,num): return (func(num) >> self.layer_num) & 1 def set_dropout(self,dropout_val): for i in range(len(self.skip_connections)): self.skip_connections[i][3] = dropout_val return def pad_and_connect(self, layer, incoming_layer): if K.int_shape(incoming_layer)[1] != K.int_shape(layer)[1] or K.int_shape(incoming_layer)[2] != K.int_shape(layer)[2]: pad_tpl1 = (int(np.floor(np.abs(K.int_shape(incoming_layer)[1]-K.int_shape(layer)[1])/2)),int(np.ceil(np.abs(K.int_shape(incoming_layer)[1]-K.int_shape(layer)[1])/2))) pad_tpl2 = (int(np.floor(np.abs(K.int_shape(incoming_layer)[2]-K.int_shape(layer)[2])/2)),int(np.ceil(np.abs(K.int_shape(incoming_layer)[2]-K.int_shape(layer)[2])/2))) #print(pad_tpl) if K.int_shape(incoming_layer)[1] < K.int_shape(layer)[1] and K.int_shape(incoming_layer)[2] < K.int_shape(layer)[2]: padded = ZeroPadding2D(padding=(pad_tpl1, pad_tpl2))(incoming_layer) layer = Concatenate()([layer, padded]) elif K.int_shape(incoming_layer)[1] < K.int_shape(layer)[1] and K.int_shape(incoming_layer)[2] >= K.int_shape(layer)[2]: padded1 = ZeroPadding2D(padding=(pad_tpl1, 0))(incoming_layer) padded2 = ZeroPadding2D(padding=(0, pad_tpl2))(layer) layer = Concatenate()([padded1, padded2]) elif K.int_shape(incoming_layer)[1] >= K.int_shape(layer)[1] and K.int_shape(incoming_layer)[2] < K.int_shape(layer)[2]: padded1 = ZeroPadding2D(padding=(0, pad_tpl2))(incoming_layer) padded2 = ZeroPadding2D(padding=(pad_tpl1, 0))(layer) layer= Concatenate()([padded1, padded2]) else: #print(layer.shape) padded = ZeroPadding2D(padding=(pad_tpl1, pad_tpl2))(layer) #print(padded.shape) #print(incoming_layer.shape) layer= Concatenate()([padded, incoming_layer]) else: layer= Concatenate()([layer, incoming_layer]) return layer def pool_pad_connect(self, layer, incoming_layer,dropout_val): if K.int_shape(incoming_layer)[1] != K.int_shape(layer)[1] or K.int_shape(incoming_layer)[2] != K.int_shape(layer)[2]: #print('layer dimensions:') #print(K.int_shape(layer)[1], K.int_shape(layer)[2]) #print('incoming_layer dimensions:') #print(K.int_shape(incoming_layer)[1], K.int_shape(incoming_layer)[2]) if K.int_shape(incoming_layer)[1] < K.int_shape(layer)[1] and K.int_shape(incoming_layer)[2] < K.int_shape(layer)[2]: pass elif K.int_shape(incoming_layer)[1] < K.int_shape(layer)[1] and K.int_shape(incoming_layer)[2] >= K.int_shape(layer)[2]: scalar = int(np.ceil(K.int_shape(incoming_layer)[2] / K.int_shape(layer)[2])) incoming_layer = MaxPooling2D(pool_size=(1, scalar), strides=(1, scalar), padding='same')(incoming_layer) print('warning: code used that is not tested, see: all_cnn_bi_skippy.py --> pool_pad_connect()') elif K.int_shape(incoming_layer)[1] >= K.int_shape(layer)[1] and K.int_shape(incoming_layer)[2] < K.int_shape(layer)[2]: scalar = int(np.ceil(K.int_shape(incoming_layer)[1] / K.int_shape(layer)[1])) incoming_layer = MaxPooling2D(pool_size=(scalar, 1), strides=(scalar, 1), padding='same')(incoming_layer) print('warning: code used that is not tested, see: all_cnn_bi_skippy.py --> pool_pad_connect()') else: #K.int_shape(incoming_layer)[1] > K.int_shape(layer)[1] and K.int_shape(incoming_layer)[2] > K.int_shape(layer)[2] scalar_1 = int(np.ceil(K.int_shape(incoming_layer)[1] / K.int_shape(layer)[1])) scalar_2 = int(np.ceil(K.int_shape(incoming_layer)[2] / K.int_shape(layer)[2])) incoming_layer = MaxPooling2D(pool_size=(scalar_1, scalar_2), strides=(scalar_1, scalar_2), padding='same')(incoming_layer) #print('Did a max pool') if dropout_val is not None: incoming_layer = Dropout(dropout_val)(incoming_layer) return self.pad_and_connect(layer, incoming_layer) def start_skip(self,layer): for j in range(len(self.skip_ints)): if self.skip_ints_count[j] > 1 and self.startpoint(self.identity,self.skip_ints[j]):#CHRIS skip connections smaller than 2 are not made, thus mean no skip connection. self.skip_connections.append([layer,self.skip_ints_count[j],self.layer_num,None])#save layer output, skip counter, layer this skip connection starts (to remove duplicates) return layer def end_skip(self,layer,filters,kernel,regulizer,act): for j in range(len(self.skip_connections)): self.skip_connections[j][1] -= 1 #decrease skip connection counters j = 0 prev_skip = -1 connected = False #CHRIS check if an end skip connection is made while j < len(self.skip_connections): if self.skip_connections[j][1] <= 0: #print(prev_skip,self.skip_connections[j][2]) if prev_skip != self.skip_connections[j][2]:#this removes skip connection duplicates (works because same skip connections are next to eachother) TODO maybe better to make more robust #CHRIS TODO add pooling, because this becomes too complex to train #layer = self.pad_and_connect(layer, self.skip_connections[j][0])#CHRIS warning! pad_and_connect does not do dropout! layer = self.pool_pad_connect(layer, self.skip_connections[j][0],self.skip_connections[j][3]) connected = True#CHRIS an end skip connection is made #if upscaling is desired: (can result in enormous tensors though) #shape1 = K.int_shape(layer) #shape2 = K.int_shape(self.skip_connections[j][0]) #gcd_x = gcd(shape1[1], shape2[1]) #gcd_y = gcd(shape1[2], shape2[2]) #scale1 =shape2[1] // gcd_x, shape2[2] // gcd_y #scale2 =shape1[1] // gcd_x, shape1[2] // gcd_y #upscaled1 = UpSampling2D(size=scale1, interpolation='nearest')(layer) #upscaled2 = UpSampling2D(size=scale2, interpolation='nearest')(self.skip_connections[j][0]) #layer = keras.layers.Concatenate()([upscaled1, upscaled2]) prev_skip = self.skip_connections[j][2] del self.skip_connections[j] else: j += 1 if connected and K.int_shape(layer)[3] > filters:#CHRIS we only want projection if an end skip connection is made, hence: ''connected'' #CHRIS convolution to bound amount of features #CHRIS can funcion as addition, or projection followed by addition layer = Conv2D(filters, (1,1), padding='same', kernel_regularizer=l2(regulizer), bias_regularizer=l2(regulizer))(layer)#CHRIS kernel value set to (1,1) in order to simply act as projection #layer = Activation(act)(layer) for j in range(len(self.skip_connections)):#CHRIS TODO this is a bit hacky self.skip_connections[j][1] += 1 #decrease skip connection counters return layer def connect_skip(self,layer,filters,kernel,regulizer,act): #end skip connections layer = self.end_skip(layer,filters,kernel,regulizer,act) for j in range(len(self.skip_connections)):#CHRIS TODO this is a bit hacky self.skip_connections[j][1] -= 1 #decrease skip connection counters #start skip connections layer = self.start_skip(layer) self.layer_num +=1 #increase layer number where currently building takes place return layer def CNN_conf(cfg,epochs=1,test=False,gpu_no=0,verbose=0,save_name='skippy_test_train_hist',data_augmentation=False): batch_size = 100 num_classes = 100 num_predictions = 20 logfile = 'mnist-cnn.log' savemodel = False # The data, shuffled and split between train and test sets: #(x_train, y_train), (x_test, y_test) = mnist.load_data() (x_train, y_train), (x_test, y_test) = cifar100.load_data(label_mode='fine')#mnist.load_data() #CHRIS reshape only needed for mnist #x_train = x_train.reshape(x_train.shape[0],x_train.shape[1],x_train.shape[2],1) #x_test = x_test.reshape(x_test.shape[0],x_test.shape[1],x_test.shape[2],1) cfg_df = pd.DataFrame(cfg, index=[0]) # Convert class vectors to binary class matrices. y_train = keras.utils.to_categorical(y_train.flatten(), num_classes) y_test = keras.utils.to_categorical(y_test.flatten(), num_classes) #print('skip steps:') #print([cfg['skint_0'],cfg['skint_1'],cfg['skint_2']],[cfg['skst_0'],cfg['skst_1'],cfg['skst_2']]) #(skip_ints,skip_ints_count) passed to Skip_manager constructor TODO get from cfg vector skint_0 = 0 skint_1 = 0 skint_2 = 0 skint_3 = 0 skint_4 = 0 network_depth = cfg['stack_0'] + cfg['stack_1'] + cfg['stack_2'] + cfg['stack_3'] + cfg['stack_4'] + cfg['stack_5'] + cfg['stack_6']+7 if cfg['skstep_0'] > 1: cnt = 0 skint_0 = 1 while cnt <= network_depth: skint_0 = skint_0 << cfg['skstep_0'] skint_0 += 1 cnt += cfg['skstep_0'] skint_0 = skint_0 << cfg['skstart_0'] if cfg['skstep_1'] > 1: cnt = 0 skint_1 = 1 while cnt <= network_depth: skint_1 = skint_1 << cfg['skstep_1'] skint_1 += 1 cnt += cfg['skstep_1'] skint_1 = skint_1 << cfg['skstart_1'] if cfg['skstep_2'] > 1: cnt = 0 skint_2 = 1 while cnt <= network_depth: skint_2 = skint_2 << cfg['skstep_2'] skint_2 += 1 cnt += cfg['skstep_2'] skint_2 = skint_2 << cfg['skstart_2'] if cfg['skstep_3'] > 1: cnt = 0 skint_3 = 1 while cnt <= network_depth: skint_3 = skint_3 << cfg['skstep_3'] skint_3 += 1 cnt += cfg['skstep_3'] skint_3 = skint_3 << cfg['skstart_3'] if cfg['skstep_4'] > 1: cnt = 0 skint_4 = 1 while cnt <= network_depth: skint_4 = skint_4 << cfg['skstep_4'] skint_4 += 1 cnt += cfg['skstep_4'] skint_4 = skint_4 << cfg['skstart_4'] skip_manager = Skip_manager([skint_0,skint_1,skint_2,skint_3,skint_4],[cfg['skstep_0'],cfg['skstep_1'],cfg['skstep_2'],cfg['skstep_3'],cfg['skstep_4']]) #skip_manager = Skip_manager([0,0,0,0,0],[cfg['skstep_0'],cfg['skstep_1'],cfg['skstep_2'],cfg['skstep_3'],cfg['skstep_4']]) input1 = keras.layers.Input(shape=(x_train.shape[1],x_train.shape[2],x_train.shape[3])) layer=input1 filter_amount = x_train.shape[3]#CHRIS the filter amount for the sake of skip connections lags a bit behind the stack it is in, so it must be assigned separately layer = skip_manager.connect_skip(layer,filter_amount,cfg['k_0'],cfg['l2'],cfg['activation']) layer = Dropout(cfg['dropout_0'],input_shape=x_train.shape[1:])(layer)#CHRIS TODO reengage this line! skip_manager.set_dropout(cfg['dropout_0']) #CHRIS removed following: #layer = Conv2D(cfg['filters_0'], (cfg['k_0'], cfg['k_0']), padding='same',kernel_regularizer=l2(cfg['l2']), bias_regularizer=l2(cfg['l2']))(layer) #layer = Activation(cfg['activation'])(layer)#kernel_initializer='random_uniform', #layer = skip_manager.connect_skip(layer) #stack 0 for i in range(cfg['stack_0']): filter_amount = cfg['filters_0'] layer = Conv2D(cfg['filters_0'], (cfg['k_0'], cfg['k_0']), padding='same', kernel_regularizer=l2(cfg['l2']), bias_regularizer=l2(cfg['l2']))(layer) layer = skip_manager.connect_skip(layer,filter_amount,cfg['k_0'],cfg['l2'],cfg['activation']) layer = Activation(cfg['activation'])(layer) if (cfg['stack_0']>0): #maxpooling as cnn if not (cfg['max_pooling']): filter_amount = cfg['filters_1'] layer = Conv2D(cfg['filters_1'], (cfg['k_1'], cfg['k_1']), strides=(cfg['s_0'], cfg['s_0']), padding='same', kernel_regularizer=l2(cfg['l2']), bias_regularizer=l2(cfg['l2']))(layer) layer = skip_manager.connect_skip(layer,filter_amount,cfg['k_0'],cfg['l2'],cfg['activation']) layer = Activation(cfg['activation'])(layer) else: #layer = skip_manager.end_skip(layer,filter_amount,cfg['k_0'],cfg['l2'],cfg['activation']) layer = MaxPooling2D(pool_size=(cfg['k_1'], cfg['k_1']), strides=(cfg['s_0'], cfg['s_0']), padding='same')(layer) layer = Dropout(cfg['dropout_1'])(layer) skip_manager.set_dropout(cfg['dropout_1']) #stack 1 for i in range(cfg['stack_1']): filter_amount = cfg['filters_2'] layer = Conv2D(cfg['filters_2'], (cfg['k_2'], cfg['k_2']), padding='same', kernel_regularizer=l2(cfg['l2']), bias_regularizer=l2(cfg['l2']))(layer) layer = skip_manager.connect_skip(layer,filter_amount,cfg['k_2'],cfg['l2'],cfg['activation']) layer = Activation(cfg['activation'])(layer) if (cfg['stack_1']>0): if not (cfg['max_pooling']): filter_amount = cfg['filters_3'] layer = Conv2D(cfg['filters_3'], (cfg['k_3'], cfg['k_3']), strides=(cfg['s_1'], cfg['s_1']), padding='same', kernel_regularizer=l2(cfg['l2']), bias_regularizer=l2(cfg['l2']))(layer) layer = skip_manager.connect_skip(layer,filter_amount,cfg['k_2'],cfg['l2'],cfg['activation']) layer = Activation(cfg['activation'])(layer) else: #layer = skip_manager.end_skip(layer,filter_amount,cfg['k_2'],cfg['l2'],cfg['activation']) layer = MaxPooling2D(pool_size=(cfg['k_3'], cfg['k_3']), strides=(cfg['s_1'], cfg['s_1']), padding='same')(layer) layer = Dropout(cfg['dropout_2'])(layer) skip_manager.set_dropout(cfg['dropout_2']) #stack 2 for i in range(cfg['stack_2']): filter_amount = cfg['filters_4'] layer = Conv2D(cfg['filters_4'], (cfg['k_4'], cfg['k_4']), padding='same', kernel_regularizer=l2(cfg['l2']), bias_regularizer=l2(cfg['l2']))(layer) layer = skip_manager.connect_skip(layer,filter_amount,cfg['k_4'],cfg['l2'],cfg['activation']) layer = Activation(cfg['activation'])(layer) if (cfg['stack_2']>0): if not (cfg['max_pooling']): filter_amount = cfg['filters_5'] layer = Conv2D(cfg['filters_5'], (cfg['k_5'], cfg['k_5']), strides=(cfg['s_2'], cfg['s_2']), padding='same', kernel_regularizer=l2(cfg['l2']), bias_regularizer=l2(cfg['l2']))(layer) layer = skip_manager.connect_skip(layer,filter_amount,cfg['k_4'],cfg['l2'],cfg['activation']) layer = Activation(cfg['activation'])(layer) else: #layer = skip_manager.end_skip(layer,filter_amount,cfg['k_4'],cfg['l2'],cfg['activation']) layer = MaxPooling2D(pool_size=(cfg['k_5'], cfg['k_5']), strides=(cfg['s_2'], cfg['s_2']), padding='same')(layer) layer = Dropout(cfg['dropout_3'])(layer) skip_manager.set_dropout(cfg['dropout_3']) #stack 3 for i in range(cfg['stack_3']): filter_amount = cfg['filters_6'] layer = Conv2D(cfg['filters_6'], (cfg['k_6'], cfg['k_6']), padding='same', kernel_regularizer=l2(cfg['l2']), bias_regularizer=l2(cfg['l2']))(layer) layer = skip_manager.connect_skip(layer,filter_amount,cfg['k_6'],cfg['l2'],cfg['activation']) layer = Activation(cfg['activation'])(layer) if (cfg['stack_3']>0): if not (cfg['max_pooling']): filter_amount = cfg['filters_7'] layer = Conv2D(cfg['filters_7'], (cfg['k_7'], cfg['k_7']), strides=(cfg['s_3'], cfg['s_3']), padding='same', kernel_regularizer=l2(cfg['l2']), bias_regularizer=l2(cfg['l2']))(layer) layer = skip_manager.connect_skip(layer,filter_amount,cfg['k_6'],cfg['l2'],cfg['activation']) layer = Activation(cfg['activation'])(layer) else: #layer = skip_manager.end_skip(layer,filter_amount,cfg['k_6'],cfg['l2'],cfg['activation']) layer = MaxPooling2D(pool_size=(cfg['k_7'], cfg['k_7']), strides=(cfg['s_3'], cfg['s_3']), padding='same')(layer) layer = Dropout(cfg['dropout_4'])(layer) skip_manager.set_dropout(cfg['dropout_4']) #stack 4 for i in range(cfg['stack_4']): filter_amount = cfg['filters_8'] layer = Conv2D(cfg['filters_8'], (cfg['k_8'], cfg['k_8']), padding='same', kernel_regularizer=l2(cfg['l2']), bias_regularizer=l2(cfg['l2']))(layer) layer = skip_manager.connect_skip(layer,filter_amount,cfg['k_8'],cfg['l2'],cfg['activation']) layer = Activation(cfg['activation'])(layer) if (cfg['stack_4']>0): if not (cfg['max_pooling']): filter_amount = cfg['filters_9'] layer = Conv2D(cfg['filters_9'], (cfg['k_9'], cfg['k_9']), strides=(cfg['s_4'], cfg['s_4']), padding='same', kernel_regularizer=l2(cfg['l2']), bias_regularizer=l2(cfg['l2']))(layer) layer = skip_manager.connect_skip(layer,filter_amount,cfg['k_8'],cfg['l2'],cfg['activation']) layer = Activation(cfg['activation'])(layer) else: #layer = skip_manager.end_skip(layer,filter_amount,cfg['k_8'],cfg['l2'],cfg['activation']) layer = MaxPooling2D(pool_size=(cfg['k_9'], cfg['k_9']), strides=(cfg['s_4'], cfg['s_4']), padding='same')(layer) layer = Dropout(cfg['dropout_5'])(layer) skip_manager.set_dropout(cfg['dropout_5']) #stack 5 for i in range(cfg['stack_5']): filter_amount = cfg['filters_10'] layer = Conv2D(cfg['filters_10'], (cfg['k_10'], cfg['k_10']), padding='same', kernel_regularizer=l2(cfg['l2']), bias_regularizer=l2(cfg['l2']))(layer) layer = skip_manager.connect_skip(layer,filter_amount,cfg['k_10'],cfg['l2'],cfg['activation']) layer = Activation(cfg['activation'])(layer) if (cfg['stack_5']>0): if not (cfg['max_pooling']): filter_amount = cfg['filters_11'] layer = Conv2D(cfg['filters_11'], (cfg['k_11'], cfg['k_11']), strides=(cfg['s_5'], cfg['s_5']), padding='same', kernel_regularizer=l2(cfg['l2']), bias_regularizer=l2(cfg['l2']))(layer) layer = skip_manager.connect_skip(layer,filter_amount,cfg['k_10'],cfg['l2'],cfg['activation']) layer = Activation(cfg['activation'])(layer) else: #layer = skip_manager.end_skip(layer,filter_amount,cfg['k_10'],cfg['l2'],cfg['activation']) layer = MaxPooling2D(pool_size=(cfg['k_11'], cfg['k_11']), strides=(cfg['s_5'], cfg['s_5']), padding='same')(layer) layer = Dropout(cfg['dropout_6'])(layer) skip_manager.set_dropout(cfg['dropout_6']) #stack 6 for i in range(cfg['stack_6']): filter_amount = cfg['filters_12'] layer = Conv2D(cfg['filters_12'], (cfg['k_12'], cfg['k_12']), padding='same', kernel_regularizer=l2(cfg['l2']), bias_regularizer=l2(cfg['l2']))(layer) layer = skip_manager.connect_skip(layer,filter_amount,cfg['k_12'],cfg['l2'],cfg['activation']) layer = Activation(cfg['activation'])(layer) if (cfg['stack_6']>0): if not (cfg['max_pooling']): filter_amount = cfg['filters_13'] layer = Conv2D(cfg['filters_13'], (cfg['k_13'], cfg['k_13']), strides=(cfg['s_6'], cfg['s_6']), padding='same', kernel_regularizer=l2(cfg['l2']), bias_regularizer=l2(cfg['l2']))(layer) layer = skip_manager.connect_skip(layer,filter_amount,cfg['k_12'],cfg['l2'],cfg['activation']) layer = Activation(cfg['activation'])(layer) else: #layer = skip_manager.end_skip(layer,filter_amount,cfg['k_12'],cfg['l2'],cfg['activation']) layer = MaxPooling2D(pool_size=(cfg['k_13'], cfg['k_13']), strides=(cfg['s_6'], cfg['s_6']), padding='same')(layer) layer = Dropout(cfg['dropout_7'])(layer) skip_manager.set_dropout(cfg['dropout_7']) #layer = input1#TODO remove this #global averaging if (cfg['global_pooling']): layer = GlobalAveragePooling2D()(layer) layer = Dropout(cfg['dropout_7'])(layer) else: layer = Flatten()(layer) #head if cfg['dense_size_0'] > 0: layer = Dense(cfg['dense_size_0'], kernel_regularizer=l2(cfg['l2']), bias_regularizer=l2(cfg['l2']))(layer) layer = Activation(cfg['activation'])(layer) layer = Dropout(cfg['dropout_8'])(layer) if cfg['dense_size_1'] > 0: layer = Dense(cfg['dense_size_1'], kernel_regularizer=l2(cfg['l2']), bias_regularizer=l2(cfg['l2']))(layer) layer = Activation(cfg['activation'])(layer) layer = Dropout(cfg['dropout_9'])(layer) layer = Dense(num_classes, kernel_regularizer=l2(cfg['l2']), bias_regularizer=l2(cfg['l2']))(layer) out = Activation(cfg['activ_dense'])(layer) cfg['decay'] = cfg['lr'] / float(epochs) def step_decay(epoch): initial_lrate = cfg['lr'] drop = 0.1 epochs_drop = 20.0 lrate = initial_lrate * math.pow(drop, math.floor((1+epoch)/epochs_drop)) return lrate hist_func = TimedAccHistory() callbacks = [hist_func] if (cfg['step'] == True): callbacks = [LearningRateScheduler(step_decay),hist_func] cfg['decay'] = 0. # initiate RMSprop optimizer #opt = keras.optimizers.rmsprop(lr= cfg['lr'], decay=cfg['decay']) opt = keras.optimizers.SGD(lr=cfg['lr'], momentum=0.9, decay=cfg['decay'], nesterov=False) model = keras.models.Model(inputs=input1, outputs=out) # Let's train the model using RMSprop model.compile(loss='categorical_crossentropy',optimizer=opt,metrics=['accuracy'])#TODO 'adam' moet zijn: opt #model.compile(optimizer='adam',loss='sparse_categorical_crossentropy',metrics=['accuracy']) if test: return model #TODO remove this, just for testing #print("amount of parameters:") #print(model.count_params()) #CHRIS test if gpu has enough memory #nvmlInit() #handle = nvmlDeviceGetHandleByIndex(int(gpu_no)) #meminfo = nvmlDeviceGetMemoryInfo(handle) #max_size = meminfo.total #6689341440 #if meminfo.free/1024.**2 < 1.0: # print('gpu is allready in use') #nvmlShutdown() #if model.count_params()*4*2 >= max_size:#CHRIS *4*2: 4 byte per parameter times 2 for backpropagation #print('network too large for memory') #return 1000000000.0*(model.count_params()*4*2/max_size), 5.0*(model.count_params()*4*2/max_size) #max_size = 32828802 * 2 #CHRIS twice as large as RESnet-34-like implementation #max_size = 129200130 #CHRIS twice as wide as RESnet-34-like implementation with batchsize=10, one network of this size was able to be ran on tritanium gpu max_size = 130374394 #CHRIS twice as wide as RESnet-34-like implementation with batchsize=100, one network of this size was able to be ran on tritanium gpu #if model.count_params() > max_size: #print('network too large for implementation') #return 1000000000.0*(model.count_params()/max_size), 5.0*(model.count_params()/max_size) x_train = x_train.astype('float32') x_test = x_test.astype('float32') if not data_augmentation:#CHRIS data augmentation handles normalization x_train /= 255. x_test /= 255. if not data_augmentation: print('Not using data augmentation.') start = time.time() hist = model.fit(x_train, y_train, batch_size=batch_size, epochs=epochs, validation_data=(x_test, y_test), callbacks=callbacks, verbose=verbose, shuffle=True) stop = time.time() else: print('Using real-time data augmentation.') # This will do preprocessing and realtime data augmentation: datagen = ImageDataGenerator( featurewise_center=cfg['featurewise_center'], # set input mean to 0 over the dataset samplewise_center=cfg['samplewise_center'], # set each sample mean to 0 featurewise_std_normalization=cfg['featurewise_std_normalization'], # divide inputs by std of the dataset samplewise_std_normalization=cfg['samplewise_std_normalization'], # divide each input by its std zca_epsilon=cfg['zca_epsilon'], zca_whitening=cfg['zca_whitening'], # apply ZCA whitening rotation_range=cfg['rotation_range'], # randomly rotate images in the range (degrees, 0 to 180) width_shift_range=cfg['width_shift_range'], # randomly shift images horizontally (fraction of total width) height_shift_range=cfg['height_shift_range'], # randomly shift images vertically (fraction of total height) shear_range=cfg['shear_range'], zoom_range=cfg['zoom_range'], channel_shift_range=cfg['channel_shift_range'], fill_mode=cfg['fill_mode'],#('constant','nearest',reflect','wrap') cval=cfg['cval'], horizontal_flip=cfg['horizontal_flip'], # randomly flip images vertical_flip=cfg['vertical_flip'], # randomly flip images rescale=1/255.0) datagen.fit(x_train) # Fit the model on the batches generated by datagen.flow(). start = time.time() hist = model.fit_generator(datagen.flow(x_train, y_train, batch_size=batch_size), verbose=verbose, callbacks=callbacks, epochs=epochs, steps_per_epoch = len(x_train)/batch_size, validation_data=(x_test, y_test)) stop = time.time() timer = stop-start #print('run-time:') #print(timer) #CHRIS append network training history to file eval_training_hist = [time.time(),hist.history['val_acc'], hist_func.timed] with open(save_name + '_eval_train_hist.json', 'a') as outfile: json.dump(eval_training_hist,outfile) outfile.write('\n') if savemodel: model.save('best_model_mnist.h5') maxval = max(hist.history['val_acc']) #loss = -1 * math.log( 1.0 - max(hist.history['val_acc']) ) #np.amin(hist.history['val_loss']) loss = -1 * math.log(max(hist.history['val_acc']) ) #CHRIS minimizing this will maximize accuracy #print('max val_acc:') #print(max(hist.history['val_acc'])) #print('loss:') #print(loss) #perf5 = max(hist.history['val_top_5_categorical_accuracy']) if logfile is not None: log_file = logfile #os.path.join(data_des, logfile) cfg_df['perf'] = maxval # save the configurations to log file if os.path.isfile(log_file): cfg_df.to_csv(log_file, mode='a', header=False, index=False) else: cfg_df.to_csv(log_file, mode='w', header=True, index=False) return timer,loss #CHRIS testcode def test_skippy(): from mipego.mipego import Solution #TODO remove this, only for testing from mipego.SearchSpace import ContinuousSpace, NominalSpace, OrdinalSpace from keras.utils import plot_model #define the search space. #objective = obj_func('./all-cnn_bi.py') activation_fun = ["softmax"] activation_fun_conv = ["elu","relu","tanh","sigmoid","selu"] filters = OrdinalSpace([10, 100], 'filters') * 14 #TODO [0,100] should be [0,600] kernel_size = OrdinalSpace([1, 8], 'k') * 14 strides = OrdinalSpace([1, 5], 's') * 7 stack_sizes = OrdinalSpace([0, 4], 'stack') * 7 #TODO [0,4] should be [0,7] activation = NominalSpace(activation_fun_conv, "activation") # activation function activation_dense = NominalSpace(activation_fun, "activ_dense") # activation function for dense layer step = NominalSpace([True, False], "step") # step global_pooling = NominalSpace([True, False], "global_pooling") # global_pooling #skippy parameters skstart = OrdinalSpace([0, 50], 'skstart') * 5 skstep = OrdinalSpace([1, 50], 'skstep') * 5 max_pooling = NominalSpace([True, False], "max_pooling") dense_size = OrdinalSpace([0,2000],'dense_size')*2 #skippy parameters drop_out = ContinuousSpace([1e-5, .9], 'dropout') * 10 # drop_out rate lr_rate = ContinuousSpace([1e-4, 1.0e-0], 'lr') # learning rate l2_regularizer = ContinuousSpace([1e-5, 1e-2], 'l2')# l2_regularizer search_space = stack_sizes * strides * filters * kernel_size * activation * activation_dense * drop_out * lr_rate * l2_regularizer * step * global_pooling * skstart * skstep * max_pooling * dense_size n_init_sample = 1 samples = search_space.sampling(n_init_sample) print(samples) var_names = search_space.var_name.tolist() print(var_names) #a sample #samples = [[1, 1, 1, 1, 2, 3, 10, 10, 5, 10, 10, 10, 10, 3, 4, 2, 1, 3, 1, 3, 'relu', 'softmax', 0.7105013348601977, 0.24225495530708516, 0.5278997344637044, 0.7264822991098491, 0.0072338759099408985, 0.00010867041652507452, False, True]] #test parameters #original parameters #RESnet-34-like stack_0 = 1 stack_1 = 6 stack_2 = 4 stack_3 = 4 stack_4 = 6 stack_5 = 6 stack_6 = 6 s_0=2#1#2 s_1=2 s_2=1#1 s_3=2 s_4=1 s_5=2 s_6=1 filters_0=64 filters_1=64 filters_2=64 filters_3=64 filters_4=128 filters_5=128 filters_6=128 filters_7=128 filters_8=256 filters_9=256 filters_10=256 filters_11=256 filters_12=512 filters_13=512 k_0=7 k_1=1 k_2=3 k_3=1 k_4=3 k_5=1 k_6=3 k_7=1 k_8=3 k_9=1 k_10=3 k_11=1 k_12=3 k_13=1 activation='relu' activ_dense='softmax' dropout_0=0.001 dropout_1=0.001 dropout_2=0.001 dropout_3=0.001 dropout_4=0.001 dropout_5=0.001 dropout_6=0.001 dropout_7=0.001 dropout_8=0.001 dropout_9=0.001 lr=0.01 l2=0.0001 step=False#True global_pooling=True #skippy parameters om_en_om = 1 ranges = [stack_6,stack_5,stack_4,stack_3,stack_2,stack_1,stack_0] for w in range(len(ranges)):#TODO testcode: remove om_en_om = om_en_om << 1 for z in range(ranges[w]//2): om_en_om = om_en_om << 2 om_en_om += 1 om_en_om = om_en_om << 1 skstart_0 = 1#inv_gray(om_en_om)#3826103921638#2**30-1 skstart_1 = 1#19283461627361826#2**30-1 skstart_2 = 1#473829102637452916#2**30-1 skstart_3 = 1#473829102637452916#2**30-1 skstart_4 = 1#473829102637452916#2**30-1 skstep_0 = 2 skstep_1 = 1 skstep_2 = 1 skstep_3 = 1 skstep_4 = 1 max_pooling = True dense_size_0 = 1000 dense_size_1 = 0 #skippy parameters #assembling parameters samples = [[stack_0, stack_1, stack_2, stack_3, stack_4, stack_5, stack_6, s_0, s_1, s_2, s_3, s_4, s_5, s_6, filters_0, filters_1, filters_2, filters_3, filters_4, filters_5, filters_6, filters_7, filters_8, filters_9, filters_10, filters_11, filters_12, filters_13,k_0, k_1, k_2, k_3, k_4, k_5, k_6, k_7, k_8, k_9, k_10, k_11, k_12, k_13, activation, activ_dense, dropout_0, dropout_1, dropout_2, dropout_3, dropout_4, dropout_5, dropout_6, dropout_7, dropout_8, dropout_9, lr, l2, step, global_pooling, skstart_0, skstart_1, skstart_2, skstart_3, skstart_4, skstep_0, skstep_1, skstep_2, skstep_3, skstep_4, max_pooling, dense_size_0, dense_size_1]] #var_names #['stack_0', 'stack_1', 'stack_2', 's_0', 's_1', 's_2', 'filters_0', 'filters_1', 'filters_2', 'filters_3', 'filters_4', 'filters_5', 'filters_6', 'k_0', 'k_1', 'k_2', 'k_3', 'k_4', 'k_5', 'k_6', 'activation', 'activ_dense', 'dropout_0', 'dropout_1', 'dropout_2', 'dropout_3', 'lr', 'l2', 'step', 'global_pooling'] X = [Solution(s, index=k, var_name=var_names) for k, s in enumerate(samples)] vla = {'s_2': 7, 'lr': 0.005478541674651396, 'skstep_2': 4, 'dropout_8': 0.5440199827441856, 'k_12': 15, 'activ_dense': 'softmax', 'stack_4': 3, 'k_5': 2, 'dropout_4': 0.24617655948523018, 's_3': 6, 'k_11': 13, 'filters_10': 84, 'dropout_0': 0.0639815161048702, 'k_7': 13, 'filters_9': 178, 'k_1': 13, 'dropout_6': 0.1752239013431692, 'filters_7': 353, 'skstep_4': 6, 'skstart_2': 0, 'stack_0': 0, 'stack_5': 1, 's_5': 2, 'k_13': 6, 'filters_2': 110, 'filters_0': 248, 'skstart_1': 5, 'filters_6': 341, 'filters_8': 165, 'skstart_4': 2, 'l2': 0.0012874308061650037, 's_0': 9, 'global_pooling': False, 'stack_6': 1, 's_1': 2, 'skstep_0': 4, 'dropout_3': 0.495646008202597, 'skstart_0': 3, 'k_6': 2, 'filters_1': 61, 'dropout_2': 0.028121315386701783, 'stack_3': 2, 'filters_3': 299, 'stack_1': 3, 'max_pooling': True, 'filters_4': 259, 'filters_11': 207, 'k_3': 15, 'k_0': 15, 'dense_size_0': 1400, 'k_4': 10, 's_6': 5, 'dropout_9': 0.004273458743956573, 'skstep_3': 6, 'filters_5': 16, 's_4': 2, 'dropout_1': 0.42526328646019135, 'dense_size_1': 2990, 'k_10': 9, 'k_2': 4, 'skstep_1': 6, 'dropout_5': 0.3927105783290164, 'filters_12': 283, 'dropout_7': 0.01357058138235737, 'activation': 'selu', 'filters_13': 228, 'step': False, 'k_8': 2, 'k_9': 2, 'skstart_3': 1, 'stack_2': 3} print(X) print(X[0].to_dict()) #cfg = [Solution(x, index=len(self.data) + i, var_name=self.var_names) for i, x in enumerate(X)] test = False if test: #model = CNN_conf(X[0].to_dict(),test=test) model = CNN_conf(vla,test=test) plot_model(model, to_file='model_skippy_test.png',show_shapes=True,show_layer_names=True) model.summary() print(model.count_params()) print(str(model.count_params() * 4 * 2 / 1024/1024/1024) + ' Gb') else: #timer, loss = CNN_conf(X[0].to_dict(),test=test,epochs= 2000,verbose=1) timer, loss = CNN_conf(vla,test=test,epochs= 2000,verbose=1) print('timer, loss:') print(timer, loss) if __name__ == '__main__':#CHRIS TODO will this wreck the entire method? #system arguments (configuration) if len(sys.argv) > 2 and sys.argv[1] == '--cfg': cfg = eval(sys.argv[2]) if len(sys.argv) > 3: gpu = sys.argv[3] epochs = int(sys.argv[4]) save_name = str(sys.argv[5]) os.environ["CUDA_DEVICE_ORDER"]="PCI_BUS_ID" # see issue #152 os.environ["CUDA_VISIBLE_DEVICES"]=str(gpu) print(CNN_conf(cfg,gpu_no=gpu,epochs=epochs,save_name=save_name)) K.clear_session() else: print('switching to test mode') test_skippy()

51.031944

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from __future__ import print_function import numpy as np import tensorflow as tf tf.set_random_seed(43) import keras from keras.datasets import cifar100 from keras.preprocessing.image import ImageDataGenerator from keras.models import Sequential from keras.layers import Dense, Dropout, Activation, Flatten from keras.layers import Conv2D, MaxPooling2D, GlobalAveragePooling2D,UpSampling2D,ZeroPadding2D,Concatenate from keras.layers import Layer import os import sys import pandas as pd import keras.backend as K import math from keras.callbacks import LearningRateScheduler from keras.regularizers import l2 import time from pynvml import * class TimedAccHistory(keras.callbacks.Callback): def on_train_begin(self, logs={}): self.accuracy_log = [] self.timed = [] self.start_time = time.time() def on_epoch_end(self, batch, logs={}): self.accuracy_log.append(logs.get('val_acc')) self.timed.append(time.time() - self.start_time) def inv_gray(num): n = 0 while num != 0: n = num ^ n num = num >> 1 return n class Skip_manager(object): def __init__(self,skip_ints,skip_ints_count): self.skip_ints= skip_ints self.skip_ints_count = skip_ints_count self.skip_connections = [] self.layer_num = 0 def identity(self,num): return num def gray(self,num): return num ^ (num >> 1) def startpoint(self,func,num): return (func(num) >> self.layer_num) & 1 def set_dropout(self,dropout_val): for i in range(len(self.skip_connections)): self.skip_connections[i][3] = dropout_val return def pad_and_connect(self, layer, incoming_layer): if K.int_shape(incoming_layer)[1] != K.int_shape(layer)[1] or K.int_shape(incoming_layer)[2] != K.int_shape(layer)[2]: pad_tpl1 = (int(np.floor(np.abs(K.int_shape(incoming_layer)[1]-K.int_shape(layer)[1])/2)),int(np.ceil(np.abs(K.int_shape(incoming_layer)[1]-K.int_shape(layer)[1])/2))) pad_tpl2 = (int(np.floor(np.abs(K.int_shape(incoming_layer)[2]-K.int_shape(layer)[2])/2)),int(np.ceil(np.abs(K.int_shape(incoming_layer)[2]-K.int_shape(layer)[2])/2))) if K.int_shape(incoming_layer)[1] < K.int_shape(layer)[1] and K.int_shape(incoming_layer)[2] < K.int_shape(layer)[2]: padded = ZeroPadding2D(padding=(pad_tpl1, pad_tpl2))(incoming_layer) layer = Concatenate()([layer, padded]) elif K.int_shape(incoming_layer)[1] < K.int_shape(layer)[1] and K.int_shape(incoming_layer)[2] >= K.int_shape(layer)[2]: padded1 = ZeroPadding2D(padding=(pad_tpl1, 0))(incoming_layer) padded2 = ZeroPadding2D(padding=(0, pad_tpl2))(layer) layer = Concatenate()([padded1, padded2]) elif K.int_shape(incoming_layer)[1] >= K.int_shape(layer)[1] and K.int_shape(incoming_layer)[2] < K.int_shape(layer)[2]: padded1 = ZeroPadding2D(padding=(0, pad_tpl2))(incoming_layer) padded2 = ZeroPadding2D(padding=(pad_tpl1, 0))(layer) layer= Concatenate()([padded1, padded2]) else: padded = ZeroPadding2D(padding=(pad_tpl1, pad_tpl2))(layer) layer= Concatenate()([padded, incoming_layer]) else: layer= Concatenate()([layer, incoming_layer]) return layer def pool_pad_connect(self, layer, incoming_layer,dropout_val): if K.int_shape(incoming_layer)[1] != K.int_shape(layer)[1] or K.int_shape(incoming_layer)[2] != K.int_shape(layer)[2]: if K.int_shape(incoming_layer)[1] < K.int_shape(layer)[1] and K.int_shape(incoming_layer)[2] < K.int_shape(layer)[2]: pass elif K.int_shape(incoming_layer)[1] < K.int_shape(layer)[1] and K.int_shape(incoming_layer)[2] >= K.int_shape(layer)[2]: scalar = int(np.ceil(K.int_shape(incoming_layer)[2] / K.int_shape(layer)[2])) incoming_layer = MaxPooling2D(pool_size=(1, scalar), strides=(1, scalar), padding='same')(incoming_layer) print('warning: code used that is not tested, see: all_cnn_bi_skippy.py --> pool_pad_connect()') elif K.int_shape(incoming_layer)[1] >= K.int_shape(layer)[1] and K.int_shape(incoming_layer)[2] < K.int_shape(layer)[2]: scalar = int(np.ceil(K.int_shape(incoming_layer)[1] / K.int_shape(layer)[1])) incoming_layer = MaxPooling2D(pool_size=(scalar, 1), strides=(scalar, 1), padding='same')(incoming_layer) print('warning: code used that is not tested, see: all_cnn_bi_skippy.py --> pool_pad_connect()') else: scalar_1 = int(np.ceil(K.int_shape(incoming_layer)[1] / K.int_shape(layer)[1])) scalar_2 = int(np.ceil(K.int_shape(incoming_layer)[2] / K.int_shape(layer)[2])) incoming_layer = MaxPooling2D(pool_size=(scalar_1, scalar_2), strides=(scalar_1, scalar_2), padding='same')(incoming_layer) if dropout_val is not None: incoming_layer = Dropout(dropout_val)(incoming_layer) return self.pad_and_connect(layer, incoming_layer) def start_skip(self,layer): for j in range(len(self.skip_ints)): if self.skip_ints_count[j] > 1 and self.startpoint(self.identity,self.skip_ints[j]): self.skip_connections.append([layer,self.skip_ints_count[j],self.layer_num,None]) return layer def end_skip(self,layer,filters,kernel,regulizer,act): for j in range(len(self.skip_connections)): self.skip_connections[j][1] -= 1 j = 0 prev_skip = -1 connected = False while j < len(self.skip_connections): if self.skip_connections[j][1] <= 0: if prev_skip != self.skip_connections[j][2]: ayer, self.skip_connections[j][0],self.skip_connections[j][3]) connected = True prev_skip = self.skip_connections[j][2] del self.skip_connections[j] else: j += 1 if connected and K.int_shape(layer)[3] > filters: layer = Conv2D(filters, (1,1), padding='same', kernel_regularizer=l2(regulizer), bias_regularizer=l2(regulizer))(layer) for j in range(len(self.skip_connections)): self.skip_connections[j][1] += 1 return layer def connect_skip(self,layer,filters,kernel,regulizer,act): layer = self.end_skip(layer,filters,kernel,regulizer,act) for j in range(len(self.skip_connections)): self.skip_connections[j][1] -= 1 layer = self.start_skip(layer) self.layer_num +=1 return layer def CNN_conf(cfg,epochs=1,test=False,gpu_no=0,verbose=0,save_name='skippy_test_train_hist',data_augmentation=False): batch_size = 100 num_classes = 100 num_predictions = 20 logfile = 'mnist-cnn.log' savemodel = False (x_train, y_train), (x_test, y_test) = cifar100.load_data(label_mode='fine') cfg_df = pd.DataFrame(cfg, index=[0]) y_train = keras.utils.to_categorical(y_train.flatten(), num_classes) y_test = keras.utils.to_categorical(y_test.flatten(), num_classes) skint_0 = 0 skint_1 = 0 skint_2 = 0 skint_3 = 0 skint_4 = 0 network_depth = cfg['stack_0'] + cfg['stack_1'] + cfg['stack_2'] + cfg['stack_3'] + cfg['stack_4'] + cfg['stack_5'] + cfg['stack_6']+7 if cfg['skstep_0'] > 1: cnt = 0 skint_0 = 1 while cnt <= network_depth: skint_0 = skint_0 << cfg['skstep_0'] skint_0 += 1 cnt += cfg['skstep_0'] skint_0 = skint_0 << cfg['skstart_0'] if cfg['skstep_1'] > 1: cnt = 0 skint_1 = 1 while cnt <= network_depth: skint_1 = skint_1 << cfg['skstep_1'] skint_1 += 1 cnt += cfg['skstep_1'] skint_1 = skint_1 << cfg['skstart_1'] if cfg['skstep_2'] > 1: cnt = 0 skint_2 = 1 while cnt <= network_depth: skint_2 = skint_2 << cfg['skstep_2'] skint_2 += 1 cnt += cfg['skstep_2'] skint_2 = skint_2 << cfg['skstart_2'] if cfg['skstep_3'] > 1: cnt = 0 skint_3 = 1 while cnt <= network_depth: skint_3 = skint_3 << cfg['skstep_3'] skint_3 += 1 cnt += cfg['skstep_3'] skint_3 = skint_3 << cfg['skstart_3'] if cfg['skstep_4'] > 1: cnt = 0 skint_4 = 1 while cnt <= network_depth: skint_4 = skint_4 << cfg['skstep_4'] skint_4 += 1 cnt += cfg['skstep_4'] skint_4 = skint_4 << cfg['skstart_4'] skip_manager = Skip_manager([skint_0,skint_1,skint_2,skint_3,skint_4],[cfg['skstep_0'],cfg['skstep_1'],cfg['skstep_2'],cfg['skstep_3'],cfg['skstep_4']]) input1 = keras.layers.Input(shape=(x_train.shape[1],x_train.shape[2],x_train.shape[3])) layer=input1 filter_amount = x_train.shape[3] layer = skip_manager.connect_skip(layer,filter_amount,cfg['k_0'],cfg['l2'],cfg['activation']) layer = Dropout(cfg['dropout_0'],input_shape=x_train.shape[1:])(layer) skip_manager.set_dropout(cfg['dropout_0']) fg['stack_0']): filter_amount = cfg['filters_0'] layer = Conv2D(cfg['filters_0'], (cfg['k_0'], cfg['k_0']), padding='same', kernel_regularizer=l2(cfg['l2']), bias_regularizer=l2(cfg['l2']))(layer) layer = skip_manager.connect_skip(layer,filter_amount,cfg['k_0'],cfg['l2'],cfg['activation']) layer = Activation(cfg['activation'])(layer) if (cfg['stack_0']>0): if not (cfg['max_pooling']): filter_amount = cfg['filters_1'] layer = Conv2D(cfg['filters_1'], (cfg['k_1'], cfg['k_1']), strides=(cfg['s_0'], cfg['s_0']), padding='same', kernel_regularizer=l2(cfg['l2']), bias_regularizer=l2(cfg['l2']))(layer) layer = skip_manager.connect_skip(layer,filter_amount,cfg['k_0'],cfg['l2'],cfg['activation']) layer = Activation(cfg['activation'])(layer) else: layer = MaxPooling2D(pool_size=(cfg['k_1'], cfg['k_1']), strides=(cfg['s_0'], cfg['s_0']), padding='same')(layer) layer = Dropout(cfg['dropout_1'])(layer) skip_manager.set_dropout(cfg['dropout_1']) for i in range(cfg['stack_1']): filter_amount = cfg['filters_2'] layer = Conv2D(cfg['filters_2'], (cfg['k_2'], cfg['k_2']), padding='same', kernel_regularizer=l2(cfg['l2']), bias_regularizer=l2(cfg['l2']))(layer) layer = skip_manager.connect_skip(layer,filter_amount,cfg['k_2'],cfg['l2'],cfg['activation']) layer = Activation(cfg['activation'])(layer) if (cfg['stack_1']>0): if not (cfg['max_pooling']): filter_amount = cfg['filters_3'] layer = Conv2D(cfg['filters_3'], (cfg['k_3'], cfg['k_3']), strides=(cfg['s_1'], cfg['s_1']), padding='same', kernel_regularizer=l2(cfg['l2']), bias_regularizer=l2(cfg['l2']))(layer) layer = skip_manager.connect_skip(layer,filter_amount,cfg['k_2'],cfg['l2'],cfg['activation']) layer = Activation(cfg['activation'])(layer) else: layer = MaxPooling2D(pool_size=(cfg['k_3'], cfg['k_3']), strides=(cfg['s_1'], cfg['s_1']), padding='same')(layer) layer = Dropout(cfg['dropout_2'])(layer) skip_manager.set_dropout(cfg['dropout_2']) for i in range(cfg['stack_2']): filter_amount = cfg['filters_4'] layer = Conv2D(cfg['filters_4'], (cfg['k_4'], cfg['k_4']), padding='same', kernel_regularizer=l2(cfg['l2']), bias_regularizer=l2(cfg['l2']))(layer) layer = skip_manager.connect_skip(layer,filter_amount,cfg['k_4'],cfg['l2'],cfg['activation']) layer = Activation(cfg['activation'])(layer) if (cfg['stack_2']>0): if not (cfg['max_pooling']): filter_amount = cfg['filters_5'] layer = Conv2D(cfg['filters_5'], (cfg['k_5'], cfg['k_5']), strides=(cfg['s_2'], cfg['s_2']), padding='same', kernel_regularizer=l2(cfg['l2']), bias_regularizer=l2(cfg['l2']))(layer) layer = skip_manager.connect_skip(layer,filter_amount,cfg['k_4'],cfg['l2'],cfg['activation']) layer = Activation(cfg['activation'])(layer) else: layer = MaxPooling2D(pool_size=(cfg['k_5'], cfg['k_5']), strides=(cfg['s_2'], cfg['s_2']), padding='same')(layer) layer = Dropout(cfg['dropout_3'])(layer) skip_manager.set_dropout(cfg['dropout_3']) for i in range(cfg['stack_3']): filter_amount = cfg['filters_6'] layer = Conv2D(cfg['filters_6'], (cfg['k_6'], cfg['k_6']), padding='same', kernel_regularizer=l2(cfg['l2']), bias_regularizer=l2(cfg['l2']))(layer) layer = skip_manager.connect_skip(layer,filter_amount,cfg['k_6'],cfg['l2'],cfg['activation']) layer = Activation(cfg['activation'])(layer) if (cfg['stack_3']>0): if not (cfg['max_pooling']): filter_amount = cfg['filters_7'] layer = Conv2D(cfg['filters_7'], (cfg['k_7'], cfg['k_7']), strides=(cfg['s_3'], cfg['s_3']), padding='same', kernel_regularizer=l2(cfg['l2']), bias_regularizer=l2(cfg['l2']))(layer) layer = skip_manager.connect_skip(layer,filter_amount,cfg['k_6'],cfg['l2'],cfg['activation']) layer = Activation(cfg['activation'])(layer) else: layer = MaxPooling2D(pool_size=(cfg['k_7'], cfg['k_7']), strides=(cfg['s_3'], cfg['s_3']), padding='same')(layer) layer = Dropout(cfg['dropout_4'])(layer) skip_manager.set_dropout(cfg['dropout_4']) for i in range(cfg['stack_4']): filter_amount = cfg['filters_8'] layer = Conv2D(cfg['filters_8'], (cfg['k_8'], cfg['k_8']), padding='same', kernel_regularizer=l2(cfg['l2']), bias_regularizer=l2(cfg['l2']))(layer) layer = skip_manager.connect_skip(layer,filter_amount,cfg['k_8'],cfg['l2'],cfg['activation']) layer = Activation(cfg['activation'])(layer) if (cfg['stack_4']>0): if not (cfg['max_pooling']): filter_amount = cfg['filters_9'] layer = Conv2D(cfg['filters_9'], (cfg['k_9'], cfg['k_9']), strides=(cfg['s_4'], cfg['s_4']), padding='same', kernel_regularizer=l2(cfg['l2']), bias_regularizer=l2(cfg['l2']))(layer) layer = skip_manager.connect_skip(layer,filter_amount,cfg['k_8'],cfg['l2'],cfg['activation']) layer = Activation(cfg['activation'])(layer) else: layer = MaxPooling2D(pool_size=(cfg['k_9'], cfg['k_9']), strides=(cfg['s_4'], cfg['s_4']), padding='same')(layer) layer = Dropout(cfg['dropout_5'])(layer) skip_manager.set_dropout(cfg['dropout_5']) for i in range(cfg['stack_5']): filter_amount = cfg['filters_10'] layer = Conv2D(cfg['filters_10'], (cfg['k_10'], cfg['k_10']), padding='same', kernel_regularizer=l2(cfg['l2']), bias_regularizer=l2(cfg['l2']))(layer) layer = skip_manager.connect_skip(layer,filter_amount,cfg['k_10'],cfg['l2'],cfg['activation']) layer = Activation(cfg['activation'])(layer) if (cfg['stack_5']>0): if not (cfg['max_pooling']): filter_amount = cfg['filters_11'] layer = Conv2D(cfg['filters_11'], (cfg['k_11'], cfg['k_11']), strides=(cfg['s_5'], cfg['s_5']), padding='same', kernel_regularizer=l2(cfg['l2']), bias_regularizer=l2(cfg['l2']))(layer) layer = skip_manager.connect_skip(layer,filter_amount,cfg['k_10'],cfg['l2'],cfg['activation']) layer = Activation(cfg['activation'])(layer) else: layer = MaxPooling2D(pool_size=(cfg['k_11'], cfg['k_11']), strides=(cfg['s_5'], cfg['s_5']), padding='same')(layer) layer = Dropout(cfg['dropout_6'])(layer) skip_manager.set_dropout(cfg['dropout_6']) for i in range(cfg['stack_6']): filter_amount = cfg['filters_12'] layer = Conv2D(cfg['filters_12'], (cfg['k_12'], cfg['k_12']), padding='same', kernel_regularizer=l2(cfg['l2']), bias_regularizer=l2(cfg['l2']))(layer) layer = skip_manager.connect_skip(layer,filter_amount,cfg['k_12'],cfg['l2'],cfg['activation']) layer = Activation(cfg['activation'])(layer) if (cfg['stack_6']>0): if not (cfg['max_pooling']): filter_amount = cfg['filters_13'] layer = Conv2D(cfg['filters_13'], (cfg['k_13'], cfg['k_13']), strides=(cfg['s_6'], cfg['s_6']), padding='same', kernel_regularizer=l2(cfg['l2']), bias_regularizer=l2(cfg['l2']))(layer) layer = skip_manager.connect_skip(layer,filter_amount,cfg['k_12'],cfg['l2'],cfg['activation']) layer = Activation(cfg['activation'])(layer) else: layer = MaxPooling2D(pool_size=(cfg['k_13'], cfg['k_13']), strides=(cfg['s_6'], cfg['s_6']), padding='same')(layer) layer = Dropout(cfg['dropout_7'])(layer) skip_manager.set_dropout(cfg['dropout_7']) ['global_pooling']): layer = GlobalAveragePooling2D()(layer) layer = Dropout(cfg['dropout_7'])(layer) else: layer = Flatten()(layer) if cfg['dense_size_0'] > 0: layer = Dense(cfg['dense_size_0'], kernel_regularizer=l2(cfg['l2']), bias_regularizer=l2(cfg['l2']))(layer) layer = Activation(cfg['activation'])(layer) layer = Dropout(cfg['dropout_8'])(layer) if cfg['dense_size_1'] > 0: layer = Dense(cfg['dense_size_1'], kernel_regularizer=l2(cfg['l2']), bias_regularizer=l2(cfg['l2']))(layer) layer = Activation(cfg['activation'])(layer) layer = Dropout(cfg['dropout_9'])(layer) layer = Dense(num_classes, kernel_regularizer=l2(cfg['l2']), bias_regularizer=l2(cfg['l2']))(layer) out = Activation(cfg['activ_dense'])(layer) cfg['decay'] = cfg['lr'] / float(epochs) def step_decay(epoch): initial_lrate = cfg['lr'] drop = 0.1 epochs_drop = 20.0 lrate = initial_lrate * math.pow(drop, math.floor((1+epoch)/epochs_drop)) return lrate hist_func = TimedAccHistory() callbacks = [hist_func] if (cfg['step'] == True): callbacks = [LearningRateScheduler(step_decay),hist_func] cfg['decay'] = 0. opt = keras.optimizers.SGD(lr=cfg['lr'], momentum=0.9, decay=cfg['decay'], nesterov=False) model = keras.models.Model(inputs=input1, outputs=out) model.compile(loss='categorical_crossentropy',optimizer=opt,metrics=['accuracy'])#TODO 'adam' moet zijn: opt #model.compile(optimizer='adam',loss='sparse_categorical_crossentropy',metrics=['accuracy']) if test: return model #TODO remove this, just for testing #print("amount of parameters:") #print(model.count_params()) #CHRIS test if gpu has enough memory #nvmlInit() #handle = nvmlDeviceGetHandleByIndex(int(gpu_no)) #meminfo = nvmlDeviceGetMemoryInfo(handle) #max_size = meminfo.total #6689341440 #if meminfo.free/1024.**2 < 1.0: # print('gpu is allready in use') #nvmlShutdown() #if model.count_params()*4*2 >= max_size:#CHRIS *4*2: 4 byte per parameter times 2 for backpropagation #print('network too large for memory') #return 1000000000.0*(model.count_params()*4*2/max_size), 5.0*(model.count_params()*4*2/max_size) #max_size = 32828802 * 2 #CHRIS twice as large as RESnet-34-like implementation #max_size = 129200130 #CHRIS twice as wide as RESnet-34-like implementation with batchsize=10, one network of this size was able to be ran on tritanium gpu max_size = 130374394 #CHRIS twice as wide as RESnet-34-like implementation with batchsize=100, one network of this size was able to be ran on tritanium gpu #if model.count_params() > max_size: #print('network too large for implementation') #return 1000000000.0*(model.count_params()/max_size), 5.0*(model.count_params()/max_size) x_train = x_train.astype('float32') x_test = x_test.astype('float32') if not data_augmentation:#CHRIS data augmentation handles normalization x_train /= 255. x_test /= 255. if not data_augmentation: print('Not using data augmentation.') start = time.time() hist = model.fit(x_train, y_train, batch_size=batch_size, epochs=epochs, validation_data=(x_test, y_test), callbacks=callbacks, verbose=verbose, shuffle=True) stop = time.time() else: print('Using real-time data augmentation.') # This will do preprocessing and realtime data augmentation: datagen = ImageDataGenerator( featurewise_center=cfg['featurewise_center'], # set input mean to 0 over the dataset samplewise_center=cfg['samplewise_center'], # set each sample mean to 0 featurewise_std_normalization=cfg['featurewise_std_normalization'], # divide inputs by std of the dataset samplewise_std_normalization=cfg['samplewise_std_normalization'], # divide each input by its std zca_epsilon=cfg['zca_epsilon'], zca_whitening=cfg['zca_whitening'], # apply ZCA whitening rotation_range=cfg['rotation_range'], # randomly rotate images in the range (degrees, 0 to 180) width_shift_range=cfg['width_shift_range'], # randomly shift images horizontally (fraction of total width) height_shift_range=cfg['height_shift_range'], # randomly shift images vertically (fraction of total height) shear_range=cfg['shear_range'], zoom_range=cfg['zoom_range'], channel_shift_range=cfg['channel_shift_range'], fill_mode=cfg['fill_mode'],#('constant','nearest',reflect','wrap') cval=cfg['cval'], horizontal_flip=cfg['horizontal_flip'], vertical_flip=cfg['vertical_flip'], rescale=1/255.0) datagen.fit(x_train) start = time.time() hist = model.fit_generator(datagen.flow(x_train, y_train, batch_size=batch_size), verbose=verbose, callbacks=callbacks, epochs=epochs, steps_per_epoch = len(x_train)/batch_size, validation_data=(x_test, y_test)) stop = time.time() timer = stop-start eval_training_hist = [time.time(),hist.history['val_acc'], hist_func.timed] with open(save_name + '_eval_train_hist.json', 'a') as outfile: json.dump(eval_training_hist,outfile) outfile.write('\n') if savemodel: model.save('best_model_mnist.h5') maxval = max(hist.history['val_acc']) .history['val_acc']) ) if logfile is not None: log_file = logfile cfg_df['perf'] = maxval if os.path.isfile(log_file): cfg_df.to_csv(log_file, mode='a', header=False, index=False) else: cfg_df.to_csv(log_file, mode='w', header=True, index=False) return timer,loss def test_skippy(): from mipego.mipego import Solution from mipego.SearchSpace import ContinuousSpace, NominalSpace, OrdinalSpace from keras.utils import plot_model activation_fun = ["softmax"] activation_fun_conv = ["elu","relu","tanh","sigmoid","selu"] filters = OrdinalSpace([10, 100], 'filters') * 14 kernel_size = OrdinalSpace([1, 8], 'k') * 14 strides = OrdinalSpace([1, 5], 's') * 7 stack_sizes = OrdinalSpace([0, 4], 'stack') * 7 activation = NominalSpace(activation_fun_conv, "activation") activation_dense = NominalSpace(activation_fun, "activ_dense") step = NominalSpace([True, False], "step") global_pooling = NominalSpace([True, False], "global_pooling") skstart = OrdinalSpace([0, 50], 'skstart') * 5 skstep = OrdinalSpace([1, 50], 'skstep') * 5 max_pooling = NominalSpace([True, False], "max_pooling") dense_size = OrdinalSpace([0,2000],'dense_size')*2 drop_out = ContinuousSpace([1e-5, .9], 'dropout') * 10 lr_rate = ContinuousSpace([1e-4, 1.0e-0], 'lr') l2_regularizer = ContinuousSpace([1e-5, 1e-2], 'l2') search_space = stack_sizes * strides * filters * kernel_size * activation * activation_dense * drop_out * lr_rate * l2_regularizer * step * global_pooling * skstart * skstep * max_pooling * dense_size n_init_sample = 1 samples = search_space.sampling(n_init_sample) print(samples) var_names = search_space.var_name.tolist() print(var_names) stack_0 = 1 stack_1 = 6 stack_2 = 4 stack_3 = 4 stack_4 = 6 stack_5 = 6 stack_6 = 6 s_0=2 s_1=2 s_2=1 s_3=2 s_4=1 s_5=2 s_6=1 filters_0=64 filters_1=64 filters_2=64 filters_3=64 filters_4=128 filters_5=128 filters_6=128 filters_7=128 filters_8=256 filters_9=256 filters_10=256 filters_11=256 filters_12=512 filters_13=512 k_0=7 k_1=1 k_2=3 k_3=1 k_4=3 k_5=1 k_6=3 k_7=1 k_8=3 k_9=1 k_10=3 k_11=1 k_12=3 k_13=1 activation='relu' activ_dense='softmax' dropout_0=0.001 dropout_1=0.001 dropout_2=0.001 dropout_3=0.001 dropout_4=0.001 dropout_5=0.001 dropout_6=0.001 dropout_7=0.001 dropout_8=0.001 dropout_9=0.001 lr=0.01 l2=0.0001 step=False global_pooling=True om_en_om = 1 ranges = [stack_6,stack_5,stack_4,stack_3,stack_2,stack_1,stack_0] for w in range(len(ranges)): om_en_om = om_en_om << 1 for z in range(ranges[w]//2): om_en_om = om_en_om << 2 om_en_om += 1 om_en_om = om_en_om << 1 skstart_0 = 1rt_3 = 1tart_4 = 1tep_0 = 2 skstep_1 = 1 skstep_2 = 1 skstep_3 = 1 skstep_4 = 1 max_pooling = True dense_size_0 = 1000 dense_size_1 = 0 samples = [[stack_0, stack_1, stack_2, stack_3, stack_4, stack_5, stack_6, s_0, s_1, s_2, s_3, s_4, s_5, s_6, filters_0, filters_1, filters_2, filters_3, filters_4, filters_5, filters_6, filters_7, filters_8, filters_9, filters_10, filters_11, filters_12, filters_13,k_0, k_1, k_2, k_3, k_4, k_5, k_6, k_7, k_8, k_9, k_10, k_11, k_12, k_13, activation, activ_dense, dropout_0, dropout_1, dropout_2, dropout_3, dropout_4, dropout_5, dropout_6, dropout_7, dropout_8, dropout_9, lr, l2, step, global_pooling, skstart_0, skstart_1, skstart_2, skstart_3, skstart_4, skstep_0, skstep_1, skstep_2, skstep_3, skstep_4, max_pooling, dense_size_0, dense_size_1]] X = [Solution(s, index=k, var_name=var_names) for k, s in enumerate(samples)] vla = {'s_2': 7, 'lr': 0.005478541674651396, 'skstep_2': 4, 'dropout_8': 0.5440199827441856, 'k_12': 15, 'activ_dense': 'softmax', 'stack_4': 3, 'k_5': 2, 'dropout_4': 0.24617655948523018, 's_3': 6, 'k_11': 13, 'filters_10': 84, 'dropout_0': 0.0639815161048702, 'k_7': 13, 'filters_9': 178, 'k_1': 13, 'dropout_6': 0.1752239013431692, 'filters_7': 353, 'skstep_4': 6, 'skstart_2': 0, 'stack_0': 0, 'stack_5': 1, 's_5': 2, 'k_13': 6, 'filters_2': 110, 'filters_0': 248, 'skstart_1': 5, 'filters_6': 341, 'filters_8': 165, 'skstart_4': 2, 'l2': 0.0012874308061650037, 's_0': 9, 'global_pooling': False, 'stack_6': 1, 's_1': 2, 'skstep_0': 4, 'dropout_3': 0.495646008202597, 'skstart_0': 3, 'k_6': 2, 'filters_1': 61, 'dropout_2': 0.028121315386701783, 'stack_3': 2, 'filters_3': 299, 'stack_1': 3, 'max_pooling': True, 'filters_4': 259, 'filters_11': 207, 'k_3': 15, 'k_0': 15, 'dense_size_0': 1400, 'k_4': 10, 's_6': 5, 'dropout_9': 0.004273458743956573, 'skstep_3': 6, 'filters_5': 16, 's_4': 2, 'dropout_1': 0.42526328646019135, 'dense_size_1': 2990, 'k_10': 9, 'k_2': 4, 'skstep_1': 6, 'dropout_5': 0.3927105783290164, 'filters_12': 283, 'dropout_7': 0.01357058138235737, 'activation': 'selu', 'filters_13': 228, 'step': False, 'k_8': 2, 'k_9': 2, 'skstart_3': 1, 'stack_2': 3} print(X) print(X[0].to_dict()) test = False if test: model = CNN_conf(vla,test=test) plot_model(model, to_file='model_skippy_test.png',show_shapes=True,show_layer_names=True) model.summary() print(model.count_params()) print(str(model.count_params() * 4 * 2 / 1024/1024/1024) + ' Gb') else: timer, loss = CNN_conf(vla,test=test,epochs= 2000,verbose=1) print('timer, loss:') print(timer, loss) if __name__ == '__main__': if len(sys.argv) > 2 and sys.argv[1] == '--cfg': cfg = eval(sys.argv[2]) if len(sys.argv) > 3: gpu = sys.argv[3] epochs = int(sys.argv[4]) save_name = str(sys.argv[5]) os.environ["CUDA_DEVICE_ORDER"]="PCI_BUS_ID" os.environ["CUDA_VISIBLE_DEVICES"]=str(gpu) print(CNN_conf(cfg,gpu_no=gpu,epochs=epochs,save_name=save_name)) K.clear_session() else: print('switching to test mode') test_skippy()

true

f7f5293f14eb9028aa5711e50850cddd657fcb6f

999

py

Python

yt/frontends/owls_subfind/tests/test_outputs.py

tukss/yt

8bf6fce609cad3d4b291ebd94667019ab2e18377

[ "BSD-3-Clause-Clear" ]

1

2021-09-15T08:17:43.000Z

yt/frontends/owls_subfind/tests/test_outputs.py

tukss/yt

8bf6fce609cad3d4b291ebd94667019ab2e18377

[ "BSD-3-Clause-Clear" ]

8

2020-04-02T16:51:49.000Z

2022-01-11T14:12:44.000Z

yt/frontends/owls_subfind/tests/test_outputs.py

stonnes/yt

aad3cfa3b4ebab7838352ab467275a27c26ff363

[ "BSD-3-Clause-Clear" ]

2

2020-08-12T15:46:11.000Z

2021-02-09T13:09:17.000Z

import os.path from yt.testing import assert_equal from yt.utilities.answer_testing.framework import ( FieldValuesTest, data_dir_load, requires_ds, ) # from yt.frontends.owls_subfind.api import OWLSSubfindDataset _fields = ( "particle_position_x", "particle_position_y", "particle_position_z", "particle_mass", ) # a dataset with empty files g1 = "owls_fof_halos/groups_001/group_001.0.hdf5" g8 = "owls_fof_halos/groups_008/group_008.0.hdf5" @requires_ds(g8) def test_fields_g8(): ds = data_dir_load(g8) assert_equal(str(ds), os.path.basename(g8)) for field in _fields: yield FieldValuesTest(g8, field, particle_type=True) @requires_ds(g1) def test_fields_g1(): ds = data_dir_load(g1) assert_equal(str(ds), os.path.basename(g1)) for field in _fields: yield FieldValuesTest(g1, field, particle_type=True) # @requires_file(g1) # def test_OWLSSubfindDataset(): # assert isinstance(data_dir_load(g1), OWLSSubfindDataset)

23.232558

62

0.731732

import os.path from yt.testing import assert_equal from yt.utilities.answer_testing.framework import ( FieldValuesTest, data_dir_load, requires_ds, ) _fields = ( "particle_position_x", "particle_position_y", "particle_position_z", "particle_mass", ) g1 = "owls_fof_halos/groups_001/group_001.0.hdf5" g8 = "owls_fof_halos/groups_008/group_008.0.hdf5" @requires_ds(g8) def test_fields_g8(): ds = data_dir_load(g8) assert_equal(str(ds), os.path.basename(g8)) for field in _fields: yield FieldValuesTest(g8, field, particle_type=True) @requires_ds(g1) def test_fields_g1(): ds = data_dir_load(g1) assert_equal(str(ds), os.path.basename(g1)) for field in _fields: yield FieldValuesTest(g1, field, particle_type=True)

true

f7f529561e429b4438c1decf5c9d4e49d7444b54

447

py

Python

fn_shodan/fn_shodan/util/config.py

nickpartner-goahead/resilient-community-apps

097c0dbefddbd221b31149d82af9809420498134

[ "MIT" ]

65

2017-12-04T13:58:32.000Z

2022-03-24T18:33:17.000Z

fn_shodan/fn_shodan/util/config.py

nickpartner-goahead/resilient-community-apps

097c0dbefddbd221b31149d82af9809420498134

[ "MIT" ]

48

2018-03-02T19:17:14.000Z

2022-03-09T22:00:38.000Z

fn_shodan/fn_shodan/util/config.py

nickpartner-goahead/resilient-community-apps

097c0dbefddbd221b31149d82af9809420498134

[ "MIT" ]

95

2018-01-11T16:23:39.000Z

2022-03-21T11:34:29.000Z

# (c) Copyright IBM Corp. 2010, 2020. All Rights Reserved. # -*- coding: utf-8 -*- """Generate a default configuration-file section for fn_shodan""" def config_section_data(): """ Produce add the default configuration section to app.config, for fn_shodan when called by `resilient-circuits config [-c|-u]` """ config_data = u"""[fn_shodan] shodan_apikey=<your-api-key> #http_proxy= #https_proxy= """ return config_data

23.526316

68

0.689038

def config_section_data(): config_data = u"""[fn_shodan] shodan_apikey=<your-api-key> #http_proxy= #https_proxy= """ return config_data

true

f7f52b476212c27fc67926cd3a21de538041dd8d

18,368

py

Python

disnake/ui/view.py

MisileLab/disnake

c7f6a61f2fe2a05cb57027486d6f2cd7fe5399fa

[ "MIT" ]

null

disnake/ui/view.py

MisileLab/disnake

c7f6a61f2fe2a05cb57027486d6f2cd7fe5399fa

[ "MIT" ]

null

disnake/ui/view.py

MisileLab/disnake

c7f6a61f2fe2a05cb57027486d6f2cd7fe5399fa

[ "MIT" ]

null

""" The MIT License (MIT) Copyright (c) 2015-2021 Rapptz Copyright (c) 2021-present Disnake Development Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. """ from __future__ import annotations from typing import ( Any, Callable, ClassVar, Dict, Iterator, List, Optional, Sequence, TYPE_CHECKING, Tuple, ) from functools import partial from itertools import groupby import traceback import asyncio import sys import time import os from .item import Item, ItemCallbackType from ..enums import try_enum_to_int from ..components import ( Component, ActionRow as ActionRowComponent, _component_factory, Button as ButtonComponent, SelectMenu as SelectComponent, ) __all__ = ("View",) if TYPE_CHECKING: from ..interactions import MessageInteraction from ..message import Message from ..types.components import Component as ComponentPayload from ..state import ConnectionState def _walk_all_components(components: List[Component]) -> Iterator[Component]: for item in components: if isinstance(item, ActionRowComponent): yield from item.children else: yield item def _component_to_item(component: Component) -> Item: if isinstance(component, ButtonComponent): from .button import Button return Button.from_component(component) if isinstance(component, SelectComponent): from .select import Select return Select.from_component(component) return Item.from_component(component) class _ViewWeights: __slots__ = ("weights",) def __init__(self, children: List[Item]): self.weights: List[int] = [0, 0, 0, 0, 0] key = lambda i: sys.maxsize if i.row is None else i.row children = sorted(children, key=key) for row, group in groupby(children, key=key): for item in group: self.add_item(item) def find_open_space(self, item: Item) -> int: for index, weight in enumerate(self.weights): if weight + item.width <= 5: return index raise ValueError("could not find open space for item") def add_item(self, item: Item) -> None: if item.row is not None: total = self.weights[item.row] + item.width if total > 5: raise ValueError(f"item would not fit at row {item.row} ({total} > 5 width)") self.weights[item.row] = total item._rendered_row = item.row else: index = self.find_open_space(item) self.weights[index] += item.width item._rendered_row = index def remove_item(self, item: Item) -> None: if item._rendered_row is not None: self.weights[item._rendered_row] -= item.width item._rendered_row = None def clear(self) -> None: self.weights = [0, 0, 0, 0, 0] class View: """Represents a UI view. This object must be inherited to create a UI within Discord. .. versionadded:: 2.0 Parameters ----------- timeout: Optional[:class:`float`] Timeout in seconds from last interaction with the UI before no longer accepting input. If ``None`` then there is no timeout. Attributes ------------ timeout: Optional[:class:`float`] Timeout from last interaction with the UI before no longer accepting input. If ``None`` then there is no timeout. children: List[:class:`Item`] The list of children attached to this view. """ __discord_ui_view__: ClassVar[bool] = True __view_children_items__: ClassVar[List[ItemCallbackType]] = [] def __init_subclass__(cls) -> None: children: List[ItemCallbackType] = [] for base in reversed(cls.__mro__): for member in base.__dict__.values(): if hasattr(member, "__discord_ui_model_type__"): children.append(member) if len(children) > 25: raise TypeError("View cannot have more than 25 children") cls.__view_children_items__ = children def __init__(self, *, timeout: Optional[float] = 180.0): self.timeout = timeout self.children: List[Item] = [] for func in self.__view_children_items__: item: Item = func.__discord_ui_model_type__(**func.__discord_ui_model_kwargs__) item.callback = partial(func, self, item) item._view = self setattr(self, func.__name__, item) self.children.append(item) self.__weights = _ViewWeights(self.children) loop = asyncio.get_running_loop() self.id: str = os.urandom(16).hex() self.__cancel_callback: Optional[Callable[[View], None]] = None self.__timeout_expiry: Optional[float] = None self.__timeout_task: Optional[asyncio.Task[None]] = None self.__stopped: asyncio.Future[bool] = loop.create_future() def __repr__(self) -> str: return f"<{self.__class__.__name__} timeout={self.timeout} children={len(self.children)}>" async def __timeout_task_impl(self) -> None: while True: # Guard just in case someone changes the value of the timeout at runtime if self.timeout is None: return if self.__timeout_expiry is None: return self._dispatch_timeout() # Check if we've elapsed our currently set timeout now = time.monotonic() if now >= self.__timeout_expiry: return self._dispatch_timeout() # Wait N seconds to see if timeout data has been refreshed await asyncio.sleep(self.__timeout_expiry - now) def to_components(self) -> List[Dict[str, Any]]: def key(item: Item) -> int: return item._rendered_row or 0 children = sorted(self.children, key=key) components: List[Dict[str, Any]] = [] for _, group in groupby(children, key=key): children = [item.to_component_dict() for item in group] if not children: continue components.append( { "type": 1, "components": children, } ) return components @classmethod def from_message(cls, message: Message, /, *, timeout: Optional[float] = 180.0) -> View: """Converts a message's components into a :class:`View`. The :attr:`.Message.components` of a message are read-only and separate types from those in the ``disnake.ui`` namespace. In order to modify and edit message components they must be converted into a :class:`View` first. Parameters ----------- message: :class:`disnake.Message` The message with components to convert into a view. timeout: Optional[:class:`float`] The timeout of the converted view. Returns -------- :class:`View` The converted view. This always returns a :class:`View` and not one of its subclasses. """ view = View(timeout=timeout) for component in _walk_all_components(message.components): view.add_item(_component_to_item(component)) return view @property def _expires_at(self) -> Optional[float]: if self.timeout: return time.monotonic() + self.timeout return None def add_item(self, item: Item) -> None: """Adds an item to the view. Parameters ----------- item: :class:`Item` The item to add to the view. Raises -------- TypeError An :class:`Item` was not passed. ValueError Maximum number of children has been exceeded (25) or the row the item is trying to be added to is full. """ if len(self.children) > 25: raise ValueError("maximum number of children exceeded") if not isinstance(item, Item): raise TypeError(f"expected Item not {item.__class__!r}") self.__weights.add_item(item) item._view = self self.children.append(item) def remove_item(self, item: Item) -> None: """Removes an item from the view. Parameters ----------- item: :class:`Item` The item to remove from the view. """ try: self.children.remove(item) except ValueError: pass else: self.__weights.remove_item(item) def clear_items(self) -> None: """Removes all items from the view.""" self.children.clear() self.__weights.clear() async def interaction_check(self, interaction: MessageInteraction) -> bool: """|coro| A callback that is called when an interaction happens within the view that checks whether the view should process item callbacks for the interaction. This is useful to override if, for example, you want to ensure that the interaction author is a given user. The default implementation of this returns ``True``. .. note:: If an exception occurs within the body then the check is considered a failure and :meth:`on_error` is called. Parameters ----------- interaction: :class:`~disnake.MessageInteraction` The interaction that occurred. Returns --------- :class:`bool` Whether the view children's callbacks should be called. """ return True async def on_timeout(self) -> None: """|coro| A callback that is called when a view's timeout elapses without being explicitly stopped. """ pass async def on_error(self, error: Exception, item: Item, interaction: MessageInteraction) -> None: """|coro| A callback that is called when an item's callback or :meth:`interaction_check` fails with an error. The default implementation prints the traceback to stderr. Parameters ----------- error: :class:`Exception` The exception that was raised. item: :class:`Item` The item that failed the dispatch. interaction: :class:`~disnake.MessageInteraction` The interaction that led to the failure. """ print(f"Ignoring exception in view {self} for item {item}:", file=sys.stderr) traceback.print_exception(error.__class__, error, error.__traceback__, file=sys.stderr) async def _scheduled_task(self, item: Item, interaction: MessageInteraction): try: if self.timeout: self.__timeout_expiry = time.monotonic() + self.timeout allow = await self.interaction_check(interaction) if not allow: return await item.callback(interaction) except Exception as e: return await self.on_error(e, item, interaction) def _start_listening_from_store(self, store: ViewStore) -> None: self.__cancel_callback = partial(store.remove_view) if self.timeout: loop = asyncio.get_running_loop() if self.__timeout_task is not None: self.__timeout_task.cancel() self.__timeout_expiry = time.monotonic() + self.timeout self.__timeout_task = loop.create_task(self.__timeout_task_impl()) def _dispatch_timeout(self): if self.__stopped.done(): return self.__stopped.set_result(True) asyncio.create_task(self.on_timeout(), name=f"disnake-ui-view-timeout-{self.id}") def _dispatch_item(self, item: Item, interaction: MessageInteraction): if self.__stopped.done(): return asyncio.create_task( self._scheduled_task(item, interaction), name=f"disnake-ui-view-dispatch-{self.id}" ) def refresh(self, components: List[Component]): # This is pretty hacky at the moment # fmt: off old_state: Dict[Tuple[int, str], Item] = { (item.type.value, item.custom_id): item # type: ignore for item in self.children if item.is_dispatchable() } # fmt: on children: List[Item] = [] for component in _walk_all_components(components): try: older = old_state[(component.type.value, component.custom_id)] # type: ignore except (KeyError, AttributeError): children.append(_component_to_item(component)) else: older.refresh_component(component) children.append(older) self.children = children def stop(self) -> None: """Stops listening to interaction events from this view. This operation cannot be undone. """ if not self.__stopped.done(): self.__stopped.set_result(False) self.__timeout_expiry = None if self.__timeout_task is not None: self.__timeout_task.cancel() self.__timeout_task = None if self.__cancel_callback: self.__cancel_callback(self) self.__cancel_callback = None def is_finished(self) -> bool: """Whether the view has finished interacting. :return type: :class:`bool` """ return self.__stopped.done() def is_dispatching(self) -> bool: """Whether the view has been added for dispatching purposes. :return type: :class:`bool` """ return self.__cancel_callback is not None def is_persistent(self) -> bool: """Whether the view is set up as persistent. A persistent view has all their components with a set ``custom_id`` and a :attr:`timeout` set to ``None``. :return type: :class:`bool` """ return self.timeout is None and all(item.is_persistent() for item in self.children) async def wait(self) -> bool: """Waits until the view has finished interacting. A view is considered finished when :meth:`stop` is called or it times out. Returns -------- :class:`bool` If ``True``, then the view timed out. If ``False`` then the view finished normally. """ return await self.__stopped class ViewStore: def __init__(self, state: ConnectionState): # (component_type, message_id, custom_id): (View, Item) self._views: Dict[Tuple[int, Optional[int], str], Tuple[View, Item]] = {} # message_id: View self._synced_message_views: Dict[int, View] = {} self._state: ConnectionState = state @property def persistent_views(self) -> Sequence[View]: # fmt: off views = { view.id: view for (_, (view, _)) in self._views.items() if view.is_persistent() } # fmt: on return list(views.values()) def __verify_integrity(self): to_remove: List[Tuple[int, Optional[int], str]] = [] for (k, (view, _)) in self._views.items(): if view.is_finished(): to_remove.append(k) for k in to_remove: del self._views[k] def add_view(self, view: View, message_id: Optional[int] = None): self.__verify_integrity() view._start_listening_from_store(self) for item in view.children: if item.is_dispatchable(): self._views[(item.type.value, message_id, item.custom_id)] = (view, item) # type: ignore if message_id is not None: self._synced_message_views[message_id] = view def remove_view(self, view: View): for item in view.children: if item.is_dispatchable(): self._views.pop((item.type.value, item.custom_id), None) # type: ignore for key, value in self._synced_message_views.items(): if value.id == view.id: del self._synced_message_views[key] break def dispatch(self, interaction: MessageInteraction): self.__verify_integrity() message_id: Optional[int] = interaction.message and interaction.message.id component_type = try_enum_to_int(interaction.data.component_type) custom_id = interaction.data.custom_id key = (component_type, message_id, custom_id) # Fallback to None message_id searches in case a persistent view # was added without an associated message_id value = self._views.get(key) or self._views.get((component_type, None, custom_id)) if value is None: return view, item = value item.refresh_state(interaction) view._dispatch_item(item, interaction) def is_message_tracked(self, message_id: int): return message_id in self._synced_message_views def remove_message_tracking(self, message_id: int) -> Optional[View]: return self._synced_message_views.pop(message_id, None) def update_from_message(self, message_id: int, components: List[ComponentPayload]): # pre-req: is_message_tracked == true view = self._synced_message_views[message_id] view.refresh([_component_factory(d) for d in components])

33.457195

105

0.621298

from __future__ import annotations from typing import ( Any, Callable, ClassVar, Dict, Iterator, List, Optional, Sequence, TYPE_CHECKING, Tuple, ) from functools import partial from itertools import groupby import traceback import asyncio import sys import time import os from .item import Item, ItemCallbackType from ..enums import try_enum_to_int from ..components import ( Component, ActionRow as ActionRowComponent, _component_factory, Button as ButtonComponent, SelectMenu as SelectComponent, ) __all__ = ("View",) if TYPE_CHECKING: from ..interactions import MessageInteraction from ..message import Message from ..types.components import Component as ComponentPayload from ..state import ConnectionState def _walk_all_components(components: List[Component]) -> Iterator[Component]: for item in components: if isinstance(item, ActionRowComponent): yield from item.children else: yield item def _component_to_item(component: Component) -> Item: if isinstance(component, ButtonComponent): from .button import Button return Button.from_component(component) if isinstance(component, SelectComponent): from .select import Select return Select.from_component(component) return Item.from_component(component) class _ViewWeights: __slots__ = ("weights",) def __init__(self, children: List[Item]): self.weights: List[int] = [0, 0, 0, 0, 0] key = lambda i: sys.maxsize if i.row is None else i.row children = sorted(children, key=key) for row, group in groupby(children, key=key): for item in group: self.add_item(item) def find_open_space(self, item: Item) -> int: for index, weight in enumerate(self.weights): if weight + item.width <= 5: return index raise ValueError("could not find open space for item") def add_item(self, item: Item) -> None: if item.row is not None: total = self.weights[item.row] + item.width if total > 5: raise ValueError(f"item would not fit at row {item.row} ({total} > 5 width)") self.weights[item.row] = total item._rendered_row = item.row else: index = self.find_open_space(item) self.weights[index] += item.width item._rendered_row = index def remove_item(self, item: Item) -> None: if item._rendered_row is not None: self.weights[item._rendered_row] -= item.width item._rendered_row = None def clear(self) -> None: self.weights = [0, 0, 0, 0, 0] class View: __discord_ui_view__: ClassVar[bool] = True __view_children_items__: ClassVar[List[ItemCallbackType]] = [] def __init_subclass__(cls) -> None: children: List[ItemCallbackType] = [] for base in reversed(cls.__mro__): for member in base.__dict__.values(): if hasattr(member, "__discord_ui_model_type__"): children.append(member) if len(children) > 25: raise TypeError("View cannot have more than 25 children") cls.__view_children_items__ = children def __init__(self, *, timeout: Optional[float] = 180.0): self.timeout = timeout self.children: List[Item] = [] for func in self.__view_children_items__: item: Item = func.__discord_ui_model_type__(**func.__discord_ui_model_kwargs__) item.callback = partial(func, self, item) item._view = self setattr(self, func.__name__, item) self.children.append(item) self.__weights = _ViewWeights(self.children) loop = asyncio.get_running_loop() self.id: str = os.urandom(16).hex() self.__cancel_callback: Optional[Callable[[View], None]] = None self.__timeout_expiry: Optional[float] = None self.__timeout_task: Optional[asyncio.Task[None]] = None self.__stopped: asyncio.Future[bool] = loop.create_future() def __repr__(self) -> str: return f"<{self.__class__.__name__} timeout={self.timeout} children={len(self.children)}>" async def __timeout_task_impl(self) -> None: while True: if self.timeout is None: return if self.__timeout_expiry is None: return self._dispatch_timeout() now = time.monotonic() if now >= self.__timeout_expiry: return self._dispatch_timeout() # Wait N seconds to see if timeout data has been refreshed await asyncio.sleep(self.__timeout_expiry - now) def to_components(self) -> List[Dict[str, Any]]: def key(item: Item) -> int: return item._rendered_row or 0 children = sorted(self.children, key=key) components: List[Dict[str, Any]] = [] for _, group in groupby(children, key=key): children = [item.to_component_dict() for item in group] if not children: continue components.append( { "type": 1, "components": children, } ) return components @classmethod def from_message(cls, message: Message, /, *, timeout: Optional[float] = 180.0) -> View: view = View(timeout=timeout) for component in _walk_all_components(message.components): view.add_item(_component_to_item(component)) return view @property def _expires_at(self) -> Optional[float]: if self.timeout: return time.monotonic() + self.timeout return None def add_item(self, item: Item) -> None: if len(self.children) > 25: raise ValueError("maximum number of children exceeded") if not isinstance(item, Item): raise TypeError(f"expected Item not {item.__class__!r}") self.__weights.add_item(item) item._view = self self.children.append(item) def remove_item(self, item: Item) -> None: try: self.children.remove(item) except ValueError: pass else: self.__weights.remove_item(item) def clear_items(self) -> None: self.children.clear() self.__weights.clear() async def interaction_check(self, interaction: MessageInteraction) -> bool: return True async def on_timeout(self) -> None: pass async def on_error(self, error: Exception, item: Item, interaction: MessageInteraction) -> None: print(f"Ignoring exception in view {self} for item {item}:", file=sys.stderr) traceback.print_exception(error.__class__, error, error.__traceback__, file=sys.stderr) async def _scheduled_task(self, item: Item, interaction: MessageInteraction): try: if self.timeout: self.__timeout_expiry = time.monotonic() + self.timeout allow = await self.interaction_check(interaction) if not allow: return await item.callback(interaction) except Exception as e: return await self.on_error(e, item, interaction) def _start_listening_from_store(self, store: ViewStore) -> None: self.__cancel_callback = partial(store.remove_view) if self.timeout: loop = asyncio.get_running_loop() if self.__timeout_task is not None: self.__timeout_task.cancel() self.__timeout_expiry = time.monotonic() + self.timeout self.__timeout_task = loop.create_task(self.__timeout_task_impl()) def _dispatch_timeout(self): if self.__stopped.done(): return self.__stopped.set_result(True) asyncio.create_task(self.on_timeout(), name=f"disnake-ui-view-timeout-{self.id}") def _dispatch_item(self, item: Item, interaction: MessageInteraction): if self.__stopped.done(): return asyncio.create_task( self._scheduled_task(item, interaction), name=f"disnake-ui-view-dispatch-{self.id}" ) def refresh(self, components: List[Component]): # This is pretty hacky at the moment # fmt: off old_state: Dict[Tuple[int, str], Item] = { (item.type.value, item.custom_id): item # type: ignore for item in self.children if item.is_dispatchable() } # fmt: on children: List[Item] = [] for component in _walk_all_components(components): try: older = old_state[(component.type.value, component.custom_id)] # type: ignore except (KeyError, AttributeError): children.append(_component_to_item(component)) else: older.refresh_component(component) children.append(older) self.children = children def stop(self) -> None: if not self.__stopped.done(): self.__stopped.set_result(False) self.__timeout_expiry = None if self.__timeout_task is not None: self.__timeout_task.cancel() self.__timeout_task = None if self.__cancel_callback: self.__cancel_callback(self) self.__cancel_callback = None def is_finished(self) -> bool: return self.__stopped.done() def is_dispatching(self) -> bool: return self.__cancel_callback is not None def is_persistent(self) -> bool: return self.timeout is None and all(item.is_persistent() for item in self.children) async def wait(self) -> bool: return await self.__stopped class ViewStore: def __init__(self, state: ConnectionState): # (component_type, message_id, custom_id): (View, Item) self._views: Dict[Tuple[int, Optional[int], str], Tuple[View, Item]] = {} # message_id: View self._synced_message_views: Dict[int, View] = {} self._state: ConnectionState = state @property def persistent_views(self) -> Sequence[View]: # fmt: off views = { view.id: view for (_, (view, _)) in self._views.items() if view.is_persistent() } # fmt: on return list(views.values()) def __verify_integrity(self): to_remove: List[Tuple[int, Optional[int], str]] = [] for (k, (view, _)) in self._views.items(): if view.is_finished(): to_remove.append(k) for k in to_remove: del self._views[k] def add_view(self, view: View, message_id: Optional[int] = None): self.__verify_integrity() view._start_listening_from_store(self) for item in view.children: if item.is_dispatchable(): self._views[(item.type.value, message_id, item.custom_id)] = (view, item) # type: ignore if message_id is not None: self._synced_message_views[message_id] = view def remove_view(self, view: View): for item in view.children: if item.is_dispatchable(): self._views.pop((item.type.value, item.custom_id), None) # type: ignore for key, value in self._synced_message_views.items(): if value.id == view.id: del self._synced_message_views[key] break def dispatch(self, interaction: MessageInteraction): self.__verify_integrity() message_id: Optional[int] = interaction.message and interaction.message.id component_type = try_enum_to_int(interaction.data.component_type) custom_id = interaction.data.custom_id key = (component_type, message_id, custom_id) # Fallback to None message_id searches in case a persistent view # was added without an associated message_id value = self._views.get(key) or self._views.get((component_type, None, custom_id)) if value is None: return view, item = value item.refresh_state(interaction) view._dispatch_item(item, interaction) def is_message_tracked(self, message_id: int): return message_id in self._synced_message_views def remove_message_tracking(self, message_id: int) -> Optional[View]: return self._synced_message_views.pop(message_id, None) def update_from_message(self, message_id: int, components: List[ComponentPayload]): # pre-req: is_message_tracked == true view = self._synced_message_views[message_id] view.refresh([_component_factory(d) for d in components])

true

f7f52b88c58cff8b4319ac9bb9d78e9e62914b3c

1,144

py

Python

Python/AOC17_day1.2.py

BhavyaLight/fuzzy-AOC17

70c734a5a3ded4b684507a362e864a276b5d2d8b

[ "MIT" ]

null

Python/AOC17_day1.2.py

BhavyaLight/fuzzy-AOC17

70c734a5a3ded4b684507a362e864a276b5d2d8b

[ "MIT" ]

null

Python/AOC17_day1.2.py

BhavyaLight/fuzzy-AOC17

70c734a5a3ded4b684507a362e864a276b5d2d8b

[ "MIT" ]

null

### # Now, instead of considering the next digit, it wants you to consider the digit halfway around the circular list. # That is, if your list contains 10 items, only include a digit in your sum if the digit 10/2 = 5 steps forward\ # matches it. # Fortunately, your list has an even number of elements. # # ############## Sample Test Cases ###################### # 1212 -> 6 # 12341234 ->20 # 123145 -> 2 # 0 -> 0 # 70 -> 0 # 4444 -> 16 # 12345674 -> 8 ### input_number = int(input("Enter a number:-")) sum_of_same_digits = 0 copy_input_number = input_number number_of_digits = 0 # Get total number of digits O(n) while copy_input_number > 0: number_of_digits += 1 copy_input_number //= 10 forward_steps = 10 ** (number_of_digits // 2) # Spread out the circular list 1234 as 123412 double_digit = int(str(input_number)+str(input_number // forward_steps)) # Calculate the sum while input_number > 0: current_digit = input_number % 10 if current_digit == double_digit % 10: sum_of_same_digits += current_digit input_number //= 10 double_digit //= 10 print("Your final answer is:\n" + str(sum_of_same_digits))

28.6

114

0.683566

true

f7f52d799ff6860aafff8dd920ab81080de560a1

2,669

py

Python

scripts/clean.py

nate26/alaska

17d140f100f34a8dc100188d7a357a7378b2842e

[ "WTFPL" ]

1

2021-07-13T23:40:50.000Z

scripts/clean.py

nate26/alaska

17d140f100f34a8dc100188d7a357a7378b2842e

[ "WTFPL" ]

null

scripts/clean.py

nate26/alaska

17d140f100f34a8dc100188d7a357a7378b2842e

[ "WTFPL" ]

1

2020-06-28T20:23:20.000Z

#!/usr/bin/env python3 import os import sys import shutil import hashlib import glob, os.path ROM_NAME = "test.gba" SRC = './src' GRAPHICS = './graphics' ASSEMBLY = './assembly' STRINGS = './strings' BUILD = './build' def PutFileNameInRightFormat(filename): filename = filename.split('/') newFileName = "" if filename[0].upper() == "SRC": newFileName = SRC elif filename[0].upper() == "ASSEMBLY": newFileName = ASSEMBLY elif filename[0].upper() == "GRAPHICS": newFileName = GRAPHICS elif filename[0].upper() == "STRINGS": newFileName = STRINGS for i in range(1, len(filename)): newFileName += "\\" + filename[i] return newFileName dir_path = os.path.dirname(os.path.realpath(__file__)) try: os.remove(ROM_NAME) except: pass if len(sys.argv) > 1: #Try removing specific file only. if len(sys.argv) > 2 and sys.argv[1].upper() == 'FILE': try: filename = PutFileNameInRightFormat(sys.argv[2]) print(filename) m = hashlib.md5() m.update(filename.encode()) newfilename = os.path.join(BUILD, m.hexdigest() + '.o') try: os.remove(newfilename) except FileNotFoundError: os.remove(BUILD + "\\IMG_" + newfilename.split('\\')[1]) print('"Build for ' + sys.argv[2] + '" removed successfully!') sys.exit(1) except: print('Error: Could not remove build for file "' + sys.argv[2] + '".') sys.exit(1) #Don't remove generated repoints if the user only wants to remove the build. elif sys.argv[1].upper() != 'BUILD' and sys.argv[1].upper() != 'GRAPHICS': try: os.remove('generatedrepoints') except: pass else: try: os.remove('generatedrepoints') except: pass try: os.remove('offsets.ini') except: pass if (len(sys.argv) > 1) and sys.argv[1].upper() == 'ALL': try: shutil.rmtree('build/') except: pass os.chdir("graphics") for root, dirs, files in os.walk(".", topdown = False): for file in files: if file.endswith('.h'): os.remove(os.path.join(root, file)) elif (len(sys.argv) > 1) and sys.argv[1].upper() == 'GRAPHICS': os.chdir("graphics") for root, dirs, files in os.walk(".", topdown = False): for file in files: if file.endswith('.h'): os.remove(os.path.join(root, file)) os.chdir(dir_path.split('\\scripts')[0]) os.chdir("build") for root, dirs, files in os.walk(".", topdown = False): for file in files: if file.startswith('IMG_'): #Don't remove image file os.remove(os.path.join(root, file)) else: os.chdir("build") for root, dirs, files in os.walk(".", topdown = False): for file in files: if not file.startswith('IMG_'): #Don't remove image file os.remove(os.path.join(root, file)) print("Directory cleaned!")

24.045045

77

0.65193

import os import sys import shutil import hashlib import glob, os.path ROM_NAME = "test.gba" SRC = './src' GRAPHICS = './graphics' ASSEMBLY = './assembly' STRINGS = './strings' BUILD = './build' def PutFileNameInRightFormat(filename): filename = filename.split('/') newFileName = "" if filename[0].upper() == "SRC": newFileName = SRC elif filename[0].upper() == "ASSEMBLY": newFileName = ASSEMBLY elif filename[0].upper() == "GRAPHICS": newFileName = GRAPHICS elif filename[0].upper() == "STRINGS": newFileName = STRINGS for i in range(1, len(filename)): newFileName += "\\" + filename[i] return newFileName dir_path = os.path.dirname(os.path.realpath(__file__)) try: os.remove(ROM_NAME) except: pass if len(sys.argv) > 1: if len(sys.argv) > 2 and sys.argv[1].upper() == 'FILE': try: filename = PutFileNameInRightFormat(sys.argv[2]) print(filename) m = hashlib.md5() m.update(filename.encode()) newfilename = os.path.join(BUILD, m.hexdigest() + '.o') try: os.remove(newfilename) except FileNotFoundError: os.remove(BUILD + "\\IMG_" + newfilename.split('\\')[1]) print('"Build for ' + sys.argv[2] + '" removed successfully!') sys.exit(1) except: print('Error: Could not remove build for file "' + sys.argv[2] + '".') sys.exit(1) elif sys.argv[1].upper() != 'BUILD' and sys.argv[1].upper() != 'GRAPHICS': try: os.remove('generatedrepoints') except: pass else: try: os.remove('generatedrepoints') except: pass try: os.remove('offsets.ini') except: pass if (len(sys.argv) > 1) and sys.argv[1].upper() == 'ALL': try: shutil.rmtree('build/') except: pass os.chdir("graphics") for root, dirs, files in os.walk(".", topdown = False): for file in files: if file.endswith('.h'): os.remove(os.path.join(root, file)) elif (len(sys.argv) > 1) and sys.argv[1].upper() == 'GRAPHICS': os.chdir("graphics") for root, dirs, files in os.walk(".", topdown = False): for file in files: if file.endswith('.h'): os.remove(os.path.join(root, file)) os.chdir(dir_path.split('\\scripts')[0]) os.chdir("build") for root, dirs, files in os.walk(".", topdown = False): for file in files: if file.startswith('IMG_'): #Don't remove image file os.remove(os.path.join(root, file)) else: os.chdir("build") for root, dirs, files in os.walk(".", topdown = False): for file in files: if not file.startswith('IMG_'): os.remove(os.path.join(root, file)) print("Directory cleaned!")

true

f7f52d8403d6acac984479bd417c204fb5be5108

13,450

py

Python

seq2seq-chatbot/vocabulary.py

JEMurcia/Seq2Seq_CornellMovie

a1e2b12089734ae2309aaa4408cd0bd63b9131a0

[ "MIT" ]

104

2018-03-28T20:30:25.000Z

2022-02-18T19:43:21.000Z

seq2seq-chatbot/vocabulary.py

JEMurcia/Seq2Seq_CornellMovie

a1e2b12089734ae2309aaa4408cd0bd63b9131a0

[ "MIT" ]

37

2018-04-16T15:39:17.000Z

2021-05-29T11:28:26.000Z

seq2seq-chatbot/vocabulary.py

JEMurcia/Seq2Seq_CornellMovie

a1e2b12089734ae2309aaa4408cd0bd63b9131a0

[ "MIT" ]

63

2018-05-18T09:52:20.000Z

2021-07-26T08:11:17.000Z

""" Vocabulary class """ import re class Vocabulary(object): """Class representing a chatbot vocabulary. The Vocabulary class is responsible for encoding words into integers and decoding integers into words. The number of times each word occurs in the source corpus is also tracked for visualization purposes. Special tokens that exist in every vocabulary instance: - PAD ("<PAD>"): The token used for extra sequence timesteps in a batch - SOS ("<SOS>"): Start Of Sequence token is used as the input of the first decoder timestep - EOS ("<EOS>"): End Of Sequence token is used to signal that the decoder should stop generating a sequence. It is also used to separate conversation history (context) questions prepended to the current input question. - OUT ("<OUT>"): If a word does not exist in the vocabulary, it is substituted with this token. """ SHARED_VOCAB_FILENAME = "shared_vocab.tsv" INPUT_VOCAB_FILENAME = "input_vocab.tsv" OUTPUT_VOCAB_FILENAME = "output_vocab.tsv" PAD = "<PAD>" SOS = "<SOS>" EOS = "<EOS>" OUT = "<OUT>" special_tokens = [PAD, SOS, EOS, OUT] def __init__(self, external_embeddings = None): """Initializes the Vocabulary instance in an non-compiled state. Compile must be called before the Vocab instance can be used to integer encode/decode words. Args: external_embeddings: An optional 2d numpy array (matrix) containing external embedding vectors """ self._word2count = {} self._words2int = {} self._ints2word = {} self._compiled = False self.external_embeddings = external_embeddings def load_word(self, word, word_int, count = 1): """Load a word and its integer encoding into the vocabulary instance. Args: word: The word to load. word_int: The integer encoding of the word to load. count: (Optional) The number of times the word occurs in the source corpus. """ self._validate_compile(False) self._word2count[word] = count self._words2int[word] = word_int self._ints2word[word_int] = word def add_words(self, words): """Add a sequence of words to the vocabulary instance. If a word occurs more than once, its count will be incremented accordingly. Args: words: The sequence of words to add. """ self._validate_compile(False) for i in range(len(words)): word = words[i] if word in self._word2count: self._word2count[word] += 1 else: self._word2count[word] = 1 def compile(self, vocab_threshold = 1, loading = False): """Compile the internal lookup dictionaries that enable words to be integer encoded / decoded. Args: vocab_threshold: Minimum number of times any word must appear within word_sequences in order to be included in the vocabulary. This is useful for filtering out rarely used words in order to reduce the size of the vocabulary (which consequently reduces the size of the model's embedding matrices & reduces the dimensionality of the output softmax) This value is ignored if loading is True. loading: Indicates if the vocabulary is being loaded from disk, in which case the compilation is already done and this method only needs to set the flag to indicate as such. """ self._validate_compile(False) if not loading: #Add the special tokens to the lookup dictionaries for i, special_token in enumerate(Vocabulary.special_tokens): self._words2int[special_token] = i self._ints2word[i] = special_token #Add the words in _word2count to the lookup dictionaries if their count meets the threshold. #Any words that don't meet the threshold are removed. word_int = len(self._words2int) for word, count in sorted(self._word2count.items()): if count >= vocab_threshold: self._words2int[word] = word_int self._ints2word[word_int] = word word_int += 1 else: del self._word2count[word] #Add the special tokens to _word2count so they have count values for saving to disk self.add_words(Vocabulary.special_tokens) #The Vocabulary instance may now be used for integer encoding / decoding self._compiled = True def size(self): """The size (number of words) of the Vocabulary """ self._validate_compile(True) return len(self._word2count) def word_exists(self, word): """Check if the given word exists in the vocabulary. Args: word: The word to check. """ self._validate_compile(True) return word in self._words2int def words2ints(self, words): """Encode a sequence of space delimited words into a sequence of integers Args: words: The sequence of space delimited words to encode """ return [self.word2int(w) for w in words.split()] def word2int(self, word): """Encode a word into an integer Args: word: The word to encode """ self._validate_compile(True) return self._words2int[word] if word in self._words2int else self.out_int() def ints2words(self, words_ints, is_punct_discrete_word = False, capitalize_i = True): """Decode a sequence of integers into a sequence of space delimited words Args: words_ints: The sequence of integers to decode is_punct_discrete_word: True to output a space before punctuation False to place punctuation immediately after the end of the preceeding word (normal usage). """ words = "" for i in words_ints: word = self.int2word(i, capitalize_i) if is_punct_discrete_word or word not in ['.', '!', '?']: words += " " words += word words = words.strip() return words def int2word(self, word_int, capitalize_i = True): """Decode an integer into a word Args: words_int: The integer to decode """ self._validate_compile(True) word = self._ints2word[word_int] if capitalize_i and word == 'i': word = 'I' return word def pad_int(self): """Get the integer encoding of the PAD token """ return self.word2int(Vocabulary.PAD) def sos_int(self): """Get the integer encoding of the SOS token """ return self.word2int(Vocabulary.SOS) def eos_int(self): """Get the integer encoding of the EOS token """ return self.word2int(Vocabulary.EOS) def out_int(self): """Get the integer encoding of the OUT token """ return self.word2int(Vocabulary.OUT) def save(self, filepath): """Saves the vocabulary to disk. Args: filepath: The path of the file to save to """ total_words = self.size() with open(filepath, "w", encoding="utf-8") as file: file.write('\t'.join(["word", "count"])) file.write('\n') for i in range(total_words): word = self._ints2word[i] count = self._word2count[word] file.write('\t'.join([word, str(count)])) if i < total_words - 1: file.write('\n') def _validate_compile(self, expected_status): """Validate that the vocabulary is compiled or not based on the needs of the attempted operation Args: expected_status: The compilation status expected by the attempted operation """ if self._compiled and not expected_status: raise ValueError("This vocabulary instance has already been compiled.") if not self._compiled and expected_status: raise ValueError("This vocabulary instance has not been compiled yet.") @staticmethod def load(filepath): """Loads the vocabulary from disk. Args: filepath: The path of the file to load from """ vocabulary = Vocabulary() with open(filepath, encoding="utf-8") as file: for index, line in enumerate(file): if index > 0: #Skip header line word, count = line.split('\t') word_int = index - 1 vocabulary.load_word(word, word_int, int(count)) vocabulary.compile(loading = True) return vocabulary @staticmethod def clean_text(text, max_words = None, normalize_words = True): """Clean text to prepare for training and inference. Clean by removing unsupported special characters & extra whitespace, and by normalizing common word permutations (i.e. can't, cannot, can not) Args: text: the text to clean max_words: maximum number of words to output (assuming words are separated by spaces). any words beyond this limit are truncated. Defaults to None (unlimited number of words) normalize_words: True to replace word contractions with their full forms (e.g. i'm -> i am) and then strip out any remaining apostrophes. """ text = text.lower() text = re.sub(r"'+", "'", text) if normalize_words: text = re.sub(r"i'm", "i am", text) text = re.sub(r"he's", "he is", text) text = re.sub(r"she's", "she is", text) text = re.sub(r"that's", "that is", text) text = re.sub(r"there's", "there is", text) text = re.sub(r"what's", "what is", text) text = re.sub(r"where's", "where is", text) text = re.sub(r"who's", "who is", text) text = re.sub(r"how's", "how is", text) text = re.sub(r"it's", "it is", text) text = re.sub(r"let's", "let us", text) text = re.sub(r"\'ll", " will", text) text = re.sub(r"\'ve", " have", text) text = re.sub(r"\'re", " are", text) text = re.sub(r"\'d", " would", text) text = re.sub(r"won't", "will not", text) text = re.sub(r"shan't", "shall not", text) text = re.sub(r"can't", "can not", text) text = re.sub(r"cannot", "can not", text) text = re.sub(r"n't", " not", text) text = re.sub(r"'", "", text) else: text = re.sub(r"(\W)'", r"\1", text) text = re.sub(r"'(\W)", r"\1", text) text = re.sub(r"[()\"#/@;:<>{}`+=~|$&*%\[\]_]", "", text) text = re.sub(r"[.]+", " . ", text) text = re.sub(r"[!]+", " ! ", text) text = re.sub(r"[?]+", " ? ", text) text = re.sub(r"[,-]+", " ", text) text = re.sub(r"[\t]+", " ", text) text = re.sub(r" +", " ", text) text = text.strip() #Truncate words beyond the limit, if provided. Remove partial sentences from the end if punctuation exists within the limit. if max_words is not None: text_parts = text.split() if len(text_parts) > max_words: truncated_text_parts = text_parts[:max_words] while len(truncated_text_parts) > 0 and not re.match("[.!?]", truncated_text_parts[-1]): truncated_text_parts.pop(-1) if len(truncated_text_parts) == 0: truncated_text_parts = text_parts[:max_words] text = " ".join(truncated_text_parts) return text @staticmethod def auto_punctuate(text): """Automatically apply punctuation to text that does not end with any punctuation marks. Args: text: the text to apply punctuation to. """ text = text.strip() if not (text.endswith(".") or text.endswith("?") or text.endswith("!") or text.startswith("--")): tmp = re.sub(r"'", "", text.lower()) if (tmp.startswith("who") or tmp.startswith("what") or tmp.startswith("when") or tmp.startswith("where") or tmp.startswith("why") or tmp.startswith("how") or tmp.endswith("who") or tmp.endswith("what") or tmp.endswith("when") or tmp.endswith("where") or tmp.endswith("why") or tmp.endswith("how") or tmp.startswith("are") or tmp.startswith("will") or tmp.startswith("wont") or tmp.startswith("can")): text = "{}?".format(text) else: text = "{}.".format(text) return text

40.881459

140

0.560967

import re class Vocabulary(object): SHARED_VOCAB_FILENAME = "shared_vocab.tsv" INPUT_VOCAB_FILENAME = "input_vocab.tsv" OUTPUT_VOCAB_FILENAME = "output_vocab.tsv" PAD = "<PAD>" SOS = "<SOS>" EOS = "<EOS>" OUT = "<OUT>" special_tokens = [PAD, SOS, EOS, OUT] def __init__(self, external_embeddings = None): self._word2count = {} self._words2int = {} self._ints2word = {} self._compiled = False self.external_embeddings = external_embeddings def load_word(self, word, word_int, count = 1): self._validate_compile(False) self._word2count[word] = count self._words2int[word] = word_int self._ints2word[word_int] = word def add_words(self, words): self._validate_compile(False) for i in range(len(words)): word = words[i] if word in self._word2count: self._word2count[word] += 1 else: self._word2count[word] = 1 def compile(self, vocab_threshold = 1, loading = False): self._validate_compile(False) if not loading: for i, special_token in enumerate(Vocabulary.special_tokens): self._words2int[special_token] = i self._ints2word[i] = special_token word_int = len(self._words2int) for word, count in sorted(self._word2count.items()): if count >= vocab_threshold: self._words2int[word] = word_int self._ints2word[word_int] = word word_int += 1 else: del self._word2count[word] #Add the special tokens to _word2count so they have count values for saving to disk self.add_words(Vocabulary.special_tokens) #The Vocabulary instance may now be used for integer encoding / decoding self._compiled = True def size(self): self._validate_compile(True) return len(self._word2count) def word_exists(self, word): self._validate_compile(True) return word in self._words2int def words2ints(self, words): return [self.word2int(w) for w in words.split()] def word2int(self, word): self._validate_compile(True) return self._words2int[word] if word in self._words2int else self.out_int() def ints2words(self, words_ints, is_punct_discrete_word = False, capitalize_i = True): words = "" for i in words_ints: word = self.int2word(i, capitalize_i) if is_punct_discrete_word or word not in ['.', '!', '?']: words += " " words += word words = words.strip() return words def int2word(self, word_int, capitalize_i = True): self._validate_compile(True) word = self._ints2word[word_int] if capitalize_i and word == 'i': word = 'I' return word def pad_int(self): return self.word2int(Vocabulary.PAD) def sos_int(self): return self.word2int(Vocabulary.SOS) def eos_int(self): return self.word2int(Vocabulary.EOS) def out_int(self): return self.word2int(Vocabulary.OUT) def save(self, filepath): total_words = self.size() with open(filepath, "w", encoding="utf-8") as file: file.write('\t'.join(["word", "count"])) file.write('\n') for i in range(total_words): word = self._ints2word[i] count = self._word2count[word] file.write('\t'.join([word, str(count)])) if i < total_words - 1: file.write('\n') def _validate_compile(self, expected_status): if self._compiled and not expected_status: raise ValueError("This vocabulary instance has already been compiled.") if not self._compiled and expected_status: raise ValueError("This vocabulary instance has not been compiled yet.") @staticmethod def load(filepath): vocabulary = Vocabulary() with open(filepath, encoding="utf-8") as file: for index, line in enumerate(file): if index > 0: #Skip header line word, count = line.split('\t') word_int = index - 1 vocabulary.load_word(word, word_int, int(count)) vocabulary.compile(loading = True) return vocabulary @staticmethod def clean_text(text, max_words = None, normalize_words = True): text = text.lower() text = re.sub(r"'+", "'", text) if normalize_words: text = re.sub(r"i'm", "i am", text) text = re.sub(r"he's", "he is", text) text = re.sub(r"she's", "she is", text) text = re.sub(r"that's", "that is", text) text = re.sub(r"there's", "there is", text) text = re.sub(r"what's", "what is", text) text = re.sub(r"where's", "where is", text) text = re.sub(r"who's", "who is", text) text = re.sub(r"how's", "how is", text) text = re.sub(r"it's", "it is", text) text = re.sub(r"let's", "let us", text) text = re.sub(r"\'ll", " will", text) text = re.sub(r"\'ve", " have", text) text = re.sub(r"\'re", " are", text) text = re.sub(r"\'d", " would", text) text = re.sub(r"won't", "will not", text) text = re.sub(r"shan't", "shall not", text) text = re.sub(r"can't", "can not", text) text = re.sub(r"cannot", "can not", text) text = re.sub(r"n't", " not", text) text = re.sub(r"'", "", text) else: text = re.sub(r"(\W)'", r"\1", text) text = re.sub(r"'(\W)", r"\1", text) text = re.sub(r"[()\"#/@;:<>{}`+=~|$&*%\[\]_]", "", text) text = re.sub(r"[.]+", " . ", text) text = re.sub(r"[!]+", " ! ", text) text = re.sub(r"[?]+", " ? ", text) text = re.sub(r"[,-]+", " ", text) text = re.sub(r"[\t]+", " ", text) text = re.sub(r" +", " ", text) text = text.strip() #Truncate words beyond the limit, if provided. Remove partial sentences from the end if punctuation exists within the limit. if max_words is not None: text_parts = text.split() if len(text_parts) > max_words: truncated_text_parts = text_parts[:max_words] while len(truncated_text_parts) > 0 and not re.match("[.!?]", truncated_text_parts[-1]): truncated_text_parts.pop(-1) if len(truncated_text_parts) == 0: truncated_text_parts = text_parts[:max_words] text = " ".join(truncated_text_parts) return text @staticmethod def auto_punctuate(text): text = text.strip() if not (text.endswith(".") or text.endswith("?") or text.endswith("!") or text.startswith("--")): tmp = re.sub(r"'", "", text.lower()) if (tmp.startswith("who") or tmp.startswith("what") or tmp.startswith("when") or tmp.startswith("where") or tmp.startswith("why") or tmp.startswith("how") or tmp.endswith("who") or tmp.endswith("what") or tmp.endswith("when") or tmp.endswith("where") or tmp.endswith("why") or tmp.endswith("how") or tmp.startswith("are") or tmp.startswith("will") or tmp.startswith("wont") or tmp.startswith("can")): text = "{}?".format(text) else: text = "{}.".format(text) return text

true

f7f52f14c333b0ad854d4c6557244d346036e874

1,432

py

Python

tests/unit/scheduler/test_client.py

jamespfennell/realtimerail

352dd7d185d3501d28276476e1390d3288735690

[ "MIT" ]

10

2018-10-25T13:07:42.000Z

2022-02-08T20:49:07.000Z

tests/unit/scheduler/test_client.py

jamespfennell/realtimerail

352dd7d185d3501d28276476e1390d3288735690

[ "MIT" ]

80

2019-04-06T23:01:44.000Z

2022-02-05T23:35:54.000Z

tests/unit/scheduler/test_client.py

jamespfennell/realtimerail

352dd7d185d3501d28276476e1390d3288735690

[ "MIT" ]

3

2021-05-07T16:43:39.000Z

2021-07-15T18:06:07.000Z

import unittest.mock as mock import pytest import requests from transiter.scheduler import client @pytest.fixture def scheduler_post_response(monkeypatch): response = mock.Mock() def post(*args, **kwargs): return response monkeypatch.setattr(requests, "post", post) return response @pytest.fixture def scheduler_get_response(monkeypatch): response = mock.Mock() def get(*args, **kwargs): return response monkeypatch.setattr(requests, "get", get) return response def test_ping__pass(scheduler_get_response): scheduler_get_response.raise_for_status = lambda: None scheduler_get_response.text = "3" assert client.ping() == 3 def test_ping__fail(scheduler_get_response): scheduler_get_response.raise_for_status.side_effect = requests.RequestException() assert client.ping() is None def test_refresh_tasks__pass(scheduler_post_response): scheduler_post_response.raise_for_status = lambda: None assert client.refresh_tasks() is True def test_refresh_tasks__fail(scheduler_post_response): scheduler_post_response.raise_for_status.side_effect = requests.RequestException() assert client.refresh_tasks() is False def test_refresh_tasks__do_not_swallow_all_exceptions(scheduler_post_response): scheduler_post_response.raise_for_status.side_effect = ValueError() with pytest.raises(ValueError): client.refresh_tasks()

23.47541

86

0.770251

import unittest.mock as mock import pytest import requests from transiter.scheduler import client @pytest.fixture def scheduler_post_response(monkeypatch): response = mock.Mock() def post(*args, **kwargs): return response monkeypatch.setattr(requests, "post", post) return response @pytest.fixture def scheduler_get_response(monkeypatch): response = mock.Mock() def get(*args, **kwargs): return response monkeypatch.setattr(requests, "get", get) return response def test_ping__pass(scheduler_get_response): scheduler_get_response.raise_for_status = lambda: None scheduler_get_response.text = "3" assert client.ping() == 3 def test_ping__fail(scheduler_get_response): scheduler_get_response.raise_for_status.side_effect = requests.RequestException() assert client.ping() is None def test_refresh_tasks__pass(scheduler_post_response): scheduler_post_response.raise_for_status = lambda: None assert client.refresh_tasks() is True def test_refresh_tasks__fail(scheduler_post_response): scheduler_post_response.raise_for_status.side_effect = requests.RequestException() assert client.refresh_tasks() is False def test_refresh_tasks__do_not_swallow_all_exceptions(scheduler_post_response): scheduler_post_response.raise_for_status.side_effect = ValueError() with pytest.raises(ValueError): client.refresh_tasks()

true

f7f52f6ed1cada91ff69e74e4d22264d5c654824

3,184

py

Python

Ejercicios/Ejercicio_6/grafica/scene_graph.py

ElTapia/computacion-grafica

8d6ec5e1bd2426093f253da9a197a7b74bb656a9

[ "MIT" ]

null

Ejercicios/Ejercicio_6/grafica/scene_graph.py

ElTapia/computacion-grafica

8d6ec5e1bd2426093f253da9a197a7b74bb656a9

[ "MIT" ]

null

Ejercicios/Ejercicio_6/grafica/scene_graph.py

ElTapia/computacion-grafica

8d6ec5e1bd2426093f253da9a197a7b74bb656a9

[ "MIT" ]

null

# coding=utf-8 """A simple scene graph class and functionality""" from OpenGL.GL import * import OpenGL.GL.shaders import numpy as np import grafica.transformations as tr import grafica.gpu_shape as gs __author__ = "Daniel Calderon" __license__ = "MIT" class SceneGraphNode: """ A simple class to handle a scene graph Each node represents a group of objects Each leaf represents a basic figure (GPUShape) To identify each node properly, it MUST have a unique name """ def __init__(self, name): self.name = name self.transform = tr.identity() self.childs = [] def clear(self): """Freeing GPU memory""" for child in self.childs: child.clear() def findNode(node, name): # The name was not found in this path if isinstance(node, gs.GPUShape): return None # This is the requested node if node.name == name: return node # All childs are checked for the requested name for child in node.childs: foundNode = findNode(child, name) if foundNode != None: return foundNode # No child of this node had the requested name return None def findTransform(node, name, parentTransform=tr.identity()): # The name was not found in this path if isinstance(node, gs.GPUShape): return None newTransform = np.matmul(parentTransform, node.transform) # This is the requested node if node.name == name: return newTransform # All childs are checked for the requested name for child in node.childs: foundTransform = findTransform(child, name, newTransform) if isinstance(foundTransform, (np.ndarray, np.generic) ): return foundTransform # No child of this node had the requested name return None def findPosition(node, name, parentTransform=tr.identity()): foundTransform = findTransform(node, name, parentTransform) if isinstance(foundTransform, (np.ndarray, np.generic) ): zero = np.array([[0,0,0,1]], dtype=np.float32).T foundPosition = np.matmul(foundTransform, zero) return foundPosition return None def drawSceneGraphNode(node, pipeline, transformName, parentTransform=tr.identity(), mode = GL_TRIANGLES): assert(isinstance(node, SceneGraphNode)) # Composing the transformations through this path newTransform = np.matmul(parentTransform, node.transform) # If the child node is a leaf, it should be a GPUShape. # Hence, it can be drawn with drawCall if len(node.childs) == 1 and isinstance(node.childs[0], gs.GPUShape): leaf = node.childs[0] glUniformMatrix4fv(glGetUniformLocation(pipeline.shaderProgram, transformName), 1, GL_TRUE, newTransform) pipeline.drawCall(leaf, mode) # If the child node is not a leaf, it MUST be a SceneGraphNode, # so this draw function is called recursively else: for child in node.childs: drawSceneGraphNode(child, pipeline, transformName, newTransform, mode)

29.757009

114

0.652324

from OpenGL.GL import * import OpenGL.GL.shaders import numpy as np import grafica.transformations as tr import grafica.gpu_shape as gs __author__ = "Daniel Calderon" __license__ = "MIT" class SceneGraphNode: def __init__(self, name): self.name = name self.transform = tr.identity() self.childs = [] def clear(self): for child in self.childs: child.clear() def findNode(node, name): if isinstance(node, gs.GPUShape): return None if node.name == name: return node for child in node.childs: foundNode = findNode(child, name) if foundNode != None: return foundNode return None def findTransform(node, name, parentTransform=tr.identity()): if isinstance(node, gs.GPUShape): return None newTransform = np.matmul(parentTransform, node.transform) if node.name == name: return newTransform for child in node.childs: foundTransform = findTransform(child, name, newTransform) if isinstance(foundTransform, (np.ndarray, np.generic) ): return foundTransform return None def findPosition(node, name, parentTransform=tr.identity()): foundTransform = findTransform(node, name, parentTransform) if isinstance(foundTransform, (np.ndarray, np.generic) ): zero = np.array([[0,0,0,1]], dtype=np.float32).T foundPosition = np.matmul(foundTransform, zero) return foundPosition return None def drawSceneGraphNode(node, pipeline, transformName, parentTransform=tr.identity(), mode = GL_TRIANGLES): assert(isinstance(node, SceneGraphNode)) newTransform = np.matmul(parentTransform, node.transform) if len(node.childs) == 1 and isinstance(node.childs[0], gs.GPUShape): leaf = node.childs[0] glUniformMatrix4fv(glGetUniformLocation(pipeline.shaderProgram, transformName), 1, GL_TRUE, newTransform) pipeline.drawCall(leaf, mode) else: for child in node.childs: drawSceneGraphNode(child, pipeline, transformName, newTransform, mode)

true

f7f52f9e9e23a95d5592e5a2ba4309d6b41a76c5

8,102

py

Python

test/functional/test_framework/blocktools.py

zebnacoin/zebna

f383ab60d5226589a8b58ba0911645e02ab3e4e9

[ "MIT" ]

1

2021-02-06T22:18:29.000Z

test/functional/test_framework/blocktools.py

zebnacoin/zebna

f383ab60d5226589a8b58ba0911645e02ab3e4e9

[ "MIT" ]

1

2021-02-07T00:57:29.000Z

2021-02-07T10:22:29.000Z

test/functional/test_framework/blocktools.py

zebnacoin/zebna

f383ab60d5226589a8b58ba0911645e02ab3e4e9

[ "MIT" ]

1

2021-02-26T22:29:45.000Z

#!/usr/bin/env python3 # Copyright (c) 2015-2018 The Bitcoin Core developers # Distributed under the MIT software license, see the accompanying # file COPYING or http://www.opensource.org/licenses/mit-license.php. """Utilities for manipulating blocks and transactions.""" from .address import ( key_to_p2sh_p2wpkh, key_to_p2wpkh, script_to_p2sh_p2wsh, script_to_p2wsh, ) from .messages import ( CBlock, COIN, COutPoint, CTransaction, CTxIn, CTxInWitness, CTxOut, FromHex, ToHex, bytes_to_hex_str, hash256, hex_str_to_bytes, ser_string, ser_uint256, sha256, uint256_from_str, ) from .script import ( CScript, OP_0, OP_1, OP_CHECKMULTISIG, OP_CHECKSIG, OP_RETURN, OP_TRUE, hash160, ) from .util import assert_equal from io import BytesIO # From BIP141 WITNESS_COMMITMENT_HEADER = b"\xaa\x21\xa9\xed" def create_block(hashprev, coinbase, ntime=None): """Create a block (with regtest difficulty).""" block = CBlock() if ntime is None: import time block.nTime = int(time.time() + 600) else: block.nTime = ntime block.hashPrevBlock = hashprev block.nBits = 0x207fffff # difficulty retargeting is disabled in REGTEST chainparams block.vtx.append(coinbase) block.hashMerkleRoot = block.calc_merkle_root() block.calc_sha256() return block def get_witness_script(witness_root, witness_nonce): witness_commitment = uint256_from_str(hash256(ser_uint256(witness_root) + ser_uint256(witness_nonce))) output_data = WITNESS_COMMITMENT_HEADER + ser_uint256(witness_commitment) return CScript([OP_RETURN, output_data]) def add_witness_commitment(block, nonce=0): """Add a witness commitment to the block's coinbase transaction. According to BIP141, blocks with witness rules active must commit to the hash of all in-block transactions including witness.""" # First calculate the merkle root of the block's # transactions, with witnesses. witness_nonce = nonce witness_root = block.calc_witness_merkle_root() # witness_nonce should go to coinbase witness. block.vtx[0].wit.vtxinwit = [CTxInWitness()] block.vtx[0].wit.vtxinwit[0].scriptWitness.stack = [ser_uint256(witness_nonce)] # witness commitment is the last OP_RETURN output in coinbase block.vtx[0].vout.append(CTxOut(0, get_witness_script(witness_root, witness_nonce))) block.vtx[0].rehash() block.hashMerkleRoot = block.calc_merkle_root() block.rehash() def serialize_script_num(value): r = bytearray(0) if value == 0: return r neg = value < 0 absvalue = -value if neg else value while (absvalue): r.append(int(absvalue & 0xff)) absvalue >>= 8 if r[-1] & 0x80: r.append(0x80 if neg else 0) elif neg: r[-1] |= 0x80 return r def create_coinbase(height, pubkey=None): """Create a coinbase transaction, assuming no miner fees. If pubkey is passed in, the coinbase output will be a P2PK output; otherwise an anyone-can-spend output.""" coinbase = CTransaction() coinbase.vin.append(CTxIn(COutPoint(0, 0xffffffff), ser_string(serialize_script_num(height)), 0xffffffff)) coinbaseoutput = CTxOut() coinbaseoutput.nValue = 70 * COIN halvings = int(height / 150) # regtest coinbaseoutput.nValue >>= halvings if (pubkey is not None): coinbaseoutput.scriptPubKey = CScript([pubkey, OP_CHECKSIG]) else: coinbaseoutput.scriptPubKey = CScript([OP_TRUE]) coinbase.vout = [coinbaseoutput] coinbase.calc_sha256() return coinbase def create_tx_with_script(prevtx, n, script_sig=b"", *, amount, script_pub_key=CScript()): """Return one-input, one-output transaction object spending the prevtx's n-th output with the given amount. Can optionally pass scriptPubKey and scriptSig, default is anyone-can-spend ouput. """ tx = CTransaction() assert(n < len(prevtx.vout)) tx.vin.append(CTxIn(COutPoint(prevtx.sha256, n), script_sig, 0xffffffff)) tx.vout.append(CTxOut(amount, script_pub_key)) tx.calc_sha256() return tx def create_transaction(node, txid, to_address, *, amount): """ Return signed transaction spending the first output of the input txid. Note that the node must be able to sign for the output that is being spent, and the node must not be running multiple wallets. """ raw_tx = create_raw_transaction(node, txid, to_address, amount=amount) tx = CTransaction() tx.deserialize(BytesIO(hex_str_to_bytes(raw_tx))) return tx def create_raw_transaction(node, txid, to_address, *, amount): """ Return raw signed transaction spending the first output of the input txid. Note that the node must be able to sign for the output that is being spent, and the node must not be running multiple wallets. """ rawtx = node.createrawtransaction(inputs=[{"txid": txid, "vout": 0}], outputs={to_address: amount}) signresult = node.signrawtransactionwithwallet(rawtx) assert_equal(signresult["complete"], True) return signresult['hex'] def get_legacy_sigopcount_block(block, accurate=True): count = 0 for tx in block.vtx: count += get_legacy_sigopcount_tx(tx, accurate) return count def get_legacy_sigopcount_tx(tx, accurate=True): count = 0 for i in tx.vout: count += i.scriptPubKey.GetSigOpCount(accurate) for j in tx.vin: # scriptSig might be of type bytes, so convert to CScript for the moment count += CScript(j.scriptSig).GetSigOpCount(accurate) return count def witness_script(use_p2wsh, pubkey): """Create a scriptPubKey for a pay-to-wtiness TxOut. This is either a P2WPKH output for the given pubkey, or a P2WSH output of a 1-of-1 multisig for the given pubkey. Returns the hex encoding of the scriptPubKey.""" if not use_p2wsh: # P2WPKH instead pubkeyhash = hash160(hex_str_to_bytes(pubkey)) pkscript = CScript([OP_0, pubkeyhash]) else: # 1-of-1 multisig witness_program = CScript([OP_1, hex_str_to_bytes(pubkey), OP_1, OP_CHECKMULTISIG]) scripthash = sha256(witness_program) pkscript = CScript([OP_0, scripthash]) return bytes_to_hex_str(pkscript) def create_witness_tx(node, use_p2wsh, utxo, pubkey, encode_p2sh, amount): """Return a transaction (in hex) that spends the given utxo to a segwit output. Optionally wrap the segwit output using P2SH.""" if use_p2wsh: program = CScript([OP_1, hex_str_to_bytes(pubkey), OP_1, OP_CHECKMULTISIG]) addr = script_to_p2sh_p2wsh(program) if encode_p2sh else script_to_p2wsh(program) else: addr = key_to_p2sh_p2wpkh(pubkey) if encode_p2sh else key_to_p2wpkh(pubkey) if not encode_p2sh: assert_equal(node.getaddressinfo(addr)['scriptPubKey'], witness_script(use_p2wsh, pubkey)) return node.createrawtransaction([utxo], {addr: amount}) def send_to_witness(use_p2wsh, node, utxo, pubkey, encode_p2sh, amount, sign=True, insert_redeem_script=""): """Create a transaction spending a given utxo to a segwit output. The output corresponds to the given pubkey: use_p2wsh determines whether to use P2WPKH or P2WSH; encode_p2sh determines whether to wrap in P2SH. sign=True will have the given node sign the transaction. insert_redeem_script will be added to the scriptSig, if given.""" tx_to_witness = create_witness_tx(node, use_p2wsh, utxo, pubkey, encode_p2sh, amount) if (sign): signed = node.signrawtransactionwithwallet(tx_to_witness) assert("errors" not in signed or len(["errors"]) == 0) return node.sendrawtransaction(signed["hex"]) else: if (insert_redeem_script): tx = FromHex(CTransaction(), tx_to_witness) tx.vin[0].scriptSig += CScript([hex_str_to_bytes(insert_redeem_script)]) tx_to_witness = ToHex(tx) return node.sendrawtransaction(tx_to_witness)

36.827273

108

0.701185

from .address import ( key_to_p2sh_p2wpkh, key_to_p2wpkh, script_to_p2sh_p2wsh, script_to_p2wsh, ) from .messages import ( CBlock, COIN, COutPoint, CTransaction, CTxIn, CTxInWitness, CTxOut, FromHex, ToHex, bytes_to_hex_str, hash256, hex_str_to_bytes, ser_string, ser_uint256, sha256, uint256_from_str, ) from .script import ( CScript, OP_0, OP_1, OP_CHECKMULTISIG, OP_CHECKSIG, OP_RETURN, OP_TRUE, hash160, ) from .util import assert_equal from io import BytesIO WITNESS_COMMITMENT_HEADER = b"\xaa\x21\xa9\xed" def create_block(hashprev, coinbase, ntime=None): block = CBlock() if ntime is None: import time block.nTime = int(time.time() + 600) else: block.nTime = ntime block.hashPrevBlock = hashprev block.nBits = 0x207fffff block.vtx.append(coinbase) block.hashMerkleRoot = block.calc_merkle_root() block.calc_sha256() return block def get_witness_script(witness_root, witness_nonce): witness_commitment = uint256_from_str(hash256(ser_uint256(witness_root) + ser_uint256(witness_nonce))) output_data = WITNESS_COMMITMENT_HEADER + ser_uint256(witness_commitment) return CScript([OP_RETURN, output_data]) def add_witness_commitment(block, nonce=0): # transactions, with witnesses. witness_nonce = nonce witness_root = block.calc_witness_merkle_root() # witness_nonce should go to coinbase witness. block.vtx[0].wit.vtxinwit = [CTxInWitness()] block.vtx[0].wit.vtxinwit[0].scriptWitness.stack = [ser_uint256(witness_nonce)] # witness commitment is the last OP_RETURN output in coinbase block.vtx[0].vout.append(CTxOut(0, get_witness_script(witness_root, witness_nonce))) block.vtx[0].rehash() block.hashMerkleRoot = block.calc_merkle_root() block.rehash() def serialize_script_num(value): r = bytearray(0) if value == 0: return r neg = value < 0 absvalue = -value if neg else value while (absvalue): r.append(int(absvalue & 0xff)) absvalue >>= 8 if r[-1] & 0x80: r.append(0x80 if neg else 0) elif neg: r[-1] |= 0x80 return r def create_coinbase(height, pubkey=None): coinbase = CTransaction() coinbase.vin.append(CTxIn(COutPoint(0, 0xffffffff), ser_string(serialize_script_num(height)), 0xffffffff)) coinbaseoutput = CTxOut() coinbaseoutput.nValue = 70 * COIN halvings = int(height / 150) # regtest coinbaseoutput.nValue >>= halvings if (pubkey is not None): coinbaseoutput.scriptPubKey = CScript([pubkey, OP_CHECKSIG]) else: coinbaseoutput.scriptPubKey = CScript([OP_TRUE]) coinbase.vout = [coinbaseoutput] coinbase.calc_sha256() return coinbase def create_tx_with_script(prevtx, n, script_sig=b"", *, amount, script_pub_key=CScript()): tx = CTransaction() assert(n < len(prevtx.vout)) tx.vin.append(CTxIn(COutPoint(prevtx.sha256, n), script_sig, 0xffffffff)) tx.vout.append(CTxOut(amount, script_pub_key)) tx.calc_sha256() return tx def create_transaction(node, txid, to_address, *, amount): raw_tx = create_raw_transaction(node, txid, to_address, amount=amount) tx = CTransaction() tx.deserialize(BytesIO(hex_str_to_bytes(raw_tx))) return tx def create_raw_transaction(node, txid, to_address, *, amount): rawtx = node.createrawtransaction(inputs=[{"txid": txid, "vout": 0}], outputs={to_address: amount}) signresult = node.signrawtransactionwithwallet(rawtx) assert_equal(signresult["complete"], True) return signresult['hex'] def get_legacy_sigopcount_block(block, accurate=True): count = 0 for tx in block.vtx: count += get_legacy_sigopcount_tx(tx, accurate) return count def get_legacy_sigopcount_tx(tx, accurate=True): count = 0 for i in tx.vout: count += i.scriptPubKey.GetSigOpCount(accurate) for j in tx.vin: # scriptSig might be of type bytes, so convert to CScript for the moment count += CScript(j.scriptSig).GetSigOpCount(accurate) return count def witness_script(use_p2wsh, pubkey): if not use_p2wsh: # P2WPKH instead pubkeyhash = hash160(hex_str_to_bytes(pubkey)) pkscript = CScript([OP_0, pubkeyhash]) else: # 1-of-1 multisig witness_program = CScript([OP_1, hex_str_to_bytes(pubkey), OP_1, OP_CHECKMULTISIG]) scripthash = sha256(witness_program) pkscript = CScript([OP_0, scripthash]) return bytes_to_hex_str(pkscript) def create_witness_tx(node, use_p2wsh, utxo, pubkey, encode_p2sh, amount): if use_p2wsh: program = CScript([OP_1, hex_str_to_bytes(pubkey), OP_1, OP_CHECKMULTISIG]) addr = script_to_p2sh_p2wsh(program) if encode_p2sh else script_to_p2wsh(program) else: addr = key_to_p2sh_p2wpkh(pubkey) if encode_p2sh else key_to_p2wpkh(pubkey) if not encode_p2sh: assert_equal(node.getaddressinfo(addr)['scriptPubKey'], witness_script(use_p2wsh, pubkey)) return node.createrawtransaction([utxo], {addr: amount}) def send_to_witness(use_p2wsh, node, utxo, pubkey, encode_p2sh, amount, sign=True, insert_redeem_script=""): tx_to_witness = create_witness_tx(node, use_p2wsh, utxo, pubkey, encode_p2sh, amount) if (sign): signed = node.signrawtransactionwithwallet(tx_to_witness) assert("errors" not in signed or len(["errors"]) == 0) return node.sendrawtransaction(signed["hex"]) else: if (insert_redeem_script): tx = FromHex(CTransaction(), tx_to_witness) tx.vin[0].scriptSig += CScript([hex_str_to_bytes(insert_redeem_script)]) tx_to_witness = ToHex(tx) return node.sendrawtransaction(tx_to_witness)

true

f7f52fca710827f4f903924b5af8149a2a3547e6

3,889

py

Python

week05_explore/q_learning_agent.py

RomaKoks/Practical_RL

ddcb71f9e45d4e08fe04da6404cb0e312681b615

[ "Unlicense" ]

null

week05_explore/q_learning_agent.py

RomaKoks/Practical_RL

ddcb71f9e45d4e08fe04da6404cb0e312681b615

[ "Unlicense" ]

null

week05_explore/q_learning_agent.py

RomaKoks/Practical_RL

ddcb71f9e45d4e08fe04da6404cb0e312681b615

[ "Unlicense" ]

null

from collections import defaultdict import random import math import numpy as np class QLearningAgent: def __init__(self, alpha, epsilon, discount, get_legal_actions): """ Q-Learning Agent based on https://inst.eecs.berkeley.edu/~cs188/sp19/projects.html Instance variables you have access to - self.epsilon (exploration prob) - self.alpha (learning rate) - self.discount (discount rate aka gamma) Functions you should use - self.get_legal_actions(state) {state, hashable -> list of actions, each is hashable} which returns legal actions for a state - self.get_qvalue(state,action) which returns Q(state,action) - self.set_qvalue(state,action,value) which sets Q(state,action) := value !!!Important!!! Note: please avoid using self._qValues directly. There's a special self.get_qvalue/set_qvalue for that. """ self.get_legal_actions = get_legal_actions self._qvalues = defaultdict(lambda: defaultdict(lambda: 0)) self.alpha = alpha self.epsilon = epsilon self.discount = discount def get_qvalue(self, state, action): """ Returns Q(state,action) """ return self._qvalues[state][action] def set_qvalue(self, state, action, value): """ Sets the Qvalue for [state,action] to the given value """ self._qvalues[state][action] = value def get_value(self, state): """ Compute your agent's estimate of V(s) using current q-values V(s) = max_over_action Q(state,action) over possible actions. Note: please take into account that q-values can be negative. """ possible_actions = self.get_legal_actions(state) # If there are no legal actions, return 0.0 if len(possible_actions) == 0: return 0.0 value = max([self.get_qvalue(state, a) for a in possible_actions]) return value def update(self, state, action, reward, next_state, done): """ You should do your Q-Value update here: Q(s,a) := (1 - alpha) * Q(s,a) + alpha * (r + gamma * V(s')) """ # agent parameters gamma = self.discount learning_rate = self.alpha q = reward + gamma * (1 - done) * self.get_value(next_state) q = (1 - learning_rate) * self.get_qvalue(state, action) + learning_rate * q self.set_qvalue(state, action, q) def get_best_action(self, state): """ Compute the best action to take in a state (using current q-values). """ possible_actions = self.get_legal_actions(state) # If there are no legal actions, return None if len(possible_actions) == 0: return None idx = np.argmax([self.get_qvalue(state, a) for a in possible_actions]) return possible_actions[idx] def get_action(self, state): """ Compute the action to take in the current state, including exploration. With probability self.epsilon, we should take a random action. otherwise - the best policy action (self.get_best_action). Note: To pick randomly from a list, use random.choice(list). To pick True or False with a given probablity, generate uniform number in [0, 1] and compare it with your probability """ # Pick Action possible_actions = self.get_legal_actions(state) action = None # If there are no legal actions, return None if len(possible_actions) == 0: return None # agent parameters: epsilon = self.epsilon if np.random.rand() < epsilon: return np.random.choice(possible_actions) return self.get_best_action(state)

34.723214

96

0.614297

from collections import defaultdict import random import math import numpy as np class QLearningAgent: def __init__(self, alpha, epsilon, discount, get_legal_actions): self.get_legal_actions = get_legal_actions self._qvalues = defaultdict(lambda: defaultdict(lambda: 0)) self.alpha = alpha self.epsilon = epsilon self.discount = discount def get_qvalue(self, state, action): return self._qvalues[state][action] def set_qvalue(self, state, action, value): self._qvalues[state][action] = value def get_value(self, state): possible_actions = self.get_legal_actions(state) if len(possible_actions) == 0: return 0.0 value = max([self.get_qvalue(state, a) for a in possible_actions]) return value def update(self, state, action, reward, next_state, done): gamma = self.discount learning_rate = self.alpha q = reward + gamma * (1 - done) * self.get_value(next_state) q = (1 - learning_rate) * self.get_qvalue(state, action) + learning_rate * q self.set_qvalue(state, action, q) def get_best_action(self, state): possible_actions = self.get_legal_actions(state) if len(possible_actions) == 0: return None idx = np.argmax([self.get_qvalue(state, a) for a in possible_actions]) return possible_actions[idx] def get_action(self, state): possible_actions = self.get_legal_actions(state) action = None if len(possible_actions) == 0: return None epsilon = self.epsilon if np.random.rand() < epsilon: return np.random.choice(possible_actions) return self.get_best_action(state)

true

f7f530b36d4517038153015d1de8d0b3e2fa7e50

748

py

Python

src/framework/consts.py

Alex-T13/stc_13-whithout-django-old

2cbd3d84b8c602d103ee60abcd68cdec33f88482

[ "MIT" ]

null

src/framework/consts.py

Alex-T13/stc_13-whithout-django-old

2cbd3d84b8c602d103ee60abcd68cdec33f88482

[ "MIT" ]

null

src/framework/consts.py

Alex-T13/stc_13-whithout-django-old

2cbd3d84b8c602d103ee60abcd68cdec33f88482

[ "MIT" ]

null

from datetime import timedelta from pathlib import Path SERVER_RUNNING_BANNER = """ +----------------------------------------+ | SERVER WORKS! | +----------------------------------------+ Visit http://{host}:{port} .......................................... """ _this_file_path = Path(__file__).resolve() DIR_FRAMEWORK = _this_file_path.parent.resolve() DIR_SRC = DIR_FRAMEWORK.parent.resolve() DIR_REPO = DIR_SRC.parent.resolve() DIR_STATIC = (DIR_REPO / "static").resolve() DIR_STORAGE = (DIR_REPO / "db").resolve() METHODS_WITH_REQUEST_BODY = { "POST", } USERS_STORAGE = (DIR_STORAGE / "users.json").resolve() USER_COOKIE = "z37user" USER_TTL = timedelta(minutes=5) DATE_TIME_FMT = "%Y-%m-%d %H:%M:%S"

20.216216

54

0.565508

from datetime import timedelta from pathlib import Path SERVER_RUNNING_BANNER = """ +----------------------------------------+ | SERVER WORKS! | +----------------------------------------+ Visit http://{host}:{port} .......................................... """ _this_file_path = Path(__file__).resolve() DIR_FRAMEWORK = _this_file_path.parent.resolve() DIR_SRC = DIR_FRAMEWORK.parent.resolve() DIR_REPO = DIR_SRC.parent.resolve() DIR_STATIC = (DIR_REPO / "static").resolve() DIR_STORAGE = (DIR_REPO / "db").resolve() METHODS_WITH_REQUEST_BODY = { "POST", } USERS_STORAGE = (DIR_STORAGE / "users.json").resolve() USER_COOKIE = "z37user" USER_TTL = timedelta(minutes=5) DATE_TIME_FMT = "%Y-%m-%d %H:%M:%S"

true