Datasets:

thepurpleowl

/

codequeries

like 7

[ { "content": "from __future__ import print_function\nimport sys\nsys.path.insert(0,\".\")\nimport unittest\nimport neuroml\nimport neuroml.writers as writers\nimport PyOpenWorm\nfrom PyOpenWorm import *\nimport networkx\nimport rdflib\nimport rdflib as R\nimport pint as Q\nimport os\nimport subprocess as SP\nimport subprocess\nimport tempfile\nimport doctest\n\nfrom glob import glob\n\nfrom GraphDBInit import *\n\nfrom DataTestTemplate import _DataTest\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class MuscleTest(_DataTest):\n\n\n", "metadata": "root.MuscleTest", "header": "['module', '___EOS___']", "index": 24 }, { "content": " def test_muscle(self):\n self.assertTrue(isinstance(Muscle(name='MDL08'), Muscle))", "metadata": "root.MuscleTest.test_muscle", "header": "['class', 'MuscleTest', '(', '_DataTest', ')', ':', '___EOS___']", "index": 26 }, { "content": " def test_innervatedBy(self):\n m = Muscle('MDL08')\n n = Neuron('some neuron')\n m.innervatedBy(n)\n m.save()\n v = Muscle(name='MDL08')\n self.assertIn(n, list(v.innervatedBy()))", "metadata": "root.MuscleTest.test_innervatedBy", "header": "['class', 'MuscleTest', '(', '_DataTest', ')', ':', '___EOS___']", "index": 29 }, { "content": " def test_muscle_neurons(self):\n \"\"\" Should be the same as innervatedBy \"\"\"\n m = Muscle(name='MDL08')\n neu = Neuron(name=\"tnnetenba\")\n m.neurons(neu)\n m.save()\n\n m = Muscle(name='MDL08')\n self.assertIn(Neuron('tnnetenba'), list(m.neurons()))", "metadata": "root.MuscleTest.test_muscle_neurons", "header": "['class', 'MuscleTest', '(', '_DataTest', ')', ':', '___EOS___']", "index": 37 } ]

[ { "span": "import unittest", "start_line": 3, "start_column": 0, "end_line": 3, "end_column": 15 }, { "span": "import neuroml", "start_line": 4, "start_column": 0, "end_line": 4, "end_column": 14 }, { "span": "import neuroml.writers as writers", "start_line": 5, "start_column": 0, "end_line": 5, "end_column": 33 }, { "span": "import PyOpenWorm", "start_line": 6, "start_column": 0, "end_line": 6, "end_column": 17 }, { "span": "import networkx", "start_line": 8, "start_column": 0, "end_line": 8, "end_column": 15 }, { "span": "import rdflib", "start_line": 9, "start_column": 0, "end_line": 9, "end_column": 13 }, { "span": "import rdflib as R", "start_line": 10, "start_column": 0, "end_line": 10, "end_column": 18 }, { "span": "import pint as Q", "start_line": 11, "start_column": 0, "end_line": 11, "end_column": 16 }, { "span": "import os", "start_line": 12, "start_column": 0, "end_line": 12, "end_column": 9 }, { "span": "import subprocess as SP", "start_line": 13, "start_column": 0, "end_line": 13, "end_column": 23 }, { "span": "import subprocess", "start_line": 14, "start_column": 0, "end_line": 14, "end_column": 17 }, { "span": "import tempfile", "start_line": 15, "start_column": 0, "end_line": 15, "end_column": 15 }, { "span": "import doctest", "start_line": 16, "start_column": 0, "end_line": 16, "end_column": 14 }, { "span": "from glob import glob", "start_line": 18, "start_column": 0, "end_line": 18, "end_column": 21 } ]

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[ { "content": "def run_tests(test_labels, verbosity=1, interactive=True, extra_tests=[]):\n \"\"\"\n worsk exactly as per normal test\n but only creates the test_db if it doesn't yet exist\n and does not destroy it when done\n tables are flushed and fixtures loaded between tests as per usual\n but if your schema has not changed then this saves significant amounts of time\n and speeds up the test cycle\n\n Run the unit tests for all the test labels in the provided list.\n Labels must be of the form:\n - app.TestClass.test_method\n Run a single specific test method\n - app.TestClass\n Run all the test methods in a given class\n - app\n Search for doctests and unittests in the named application.\n\n When looking for tests, the test runner will look in the models and\n tests modules for the application.\n\n A list of 'extra' tests may also be provided; these tests\n will be added to the test suite.\n\n Returns the number of tests that failed.\n \"\"\"\n setup_test_environment()\n\n settings.DEBUG = False\n suite = unittest.TestSuite()\n\n if test_labels:\n for label in test_labels:\n if '.' in label:\n suite.addTest(build_test(label))\n else:\n app = get_app(label)\n suite.addTest(build_suite(app))\n else:\n for app in get_apps():\n suite.addTest(build_suite(app))\n\n for test in extra_tests:\n suite.addTest(test)\n\n suite = reorder_suite(suite, (TestCase,))\n\n old_name = settings.DATABASES['default']['NAME']\n\n ###Everything up to here is from django.test.simple\n\n from django.db.backends import creation\n from django.db import connection, DatabaseError\n\n if settings.DATABASES['default']['TEST_NAME']:\n settings.DATABASES['default']['NAME'] = settings.DATABASES['default']['TEST_NAME']\n else:\n settings.DATABASES['default']['NAME'] = creation.TEST_DATABASE_PREFIX + settings.DATABASES['default']['NAME']\n connection.settings_dict[\"DATABASE_NAME\"] = settings.DATABASES['default']['NAME']\n\n # does test db exist already ?\n try:\n if settings.DATABASES['default']['ENGINE'] == 'sqlite3':\n if not os.path.exists(settings.DATABASES['default']['NAME']):\n raise DatabaseError\n cursor = connection.cursor()\n except Exception:\n # db does not exist\n # juggling ! create_test_db switches the DATABASE_NAME to the TEST_DATABASE_NAME\n settings.DATABASES['default']['NAME'] = old_name\n connection.settings_dict[\"DATABASE_NAME\"] = old_name\n connection.creation.create_test_db(verbosity, autoclobber=True)\n else:\n connection.close()\n\n settings.DATABASES['default']['SUPPORTS_TRANSACTIONS'] = connections_support_transactions()\n\n result = unittest.TextTestRunner(verbosity=verbosity).run(suite)\n\n #Since we don't call destory_test_db, we need to set the db name back.\n settings.DATABASES['default']['NAME'] = old_name\n connection.settings_dict[\"DATABASE_NAME\"] = old_name\n teardown_test_environment()\n\n return len(result.failures) + len(result.errors)", "metadata": "root.run_tests", "header": "['module', '___EOS___']", "index": 12 } ]

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"connection_", "._", "settings", "\\u", "dict_", "[_", "\"", "DATA", "BASE", "\\u", "NAME", "\"_", "]_", "=_", "old", "\\u", "name_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "tear", "down", "\\u", "test\\u", "environment_", "(_", ")_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uNL\\u\\u\\u_", "return_", "len_", "(_", "result_", "._", "failures_", ")_", "+_", "len_", "(_", "result_", "._", "errors_", ")_" ]

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[ { "content": "\"\"\"Here is an example test module that can be run with `dnosetests`.\n\nIt is written like a standard nose test module but the test functions are\nexecuted within the diesel event loop. That means they can fork other\ngreen threads, do network I/O and other diesel-ish things. Very handy for\nwriting integration tests against diesel services.\n\n\"\"\"\nimport time\n\nimport diesel\n\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def test_sleeps_then_passes():\n diesel.sleep(1)\n assert True", "metadata": "root.test_sleeps_then_passes", "header": "['module', '___EOS___']", "index": 13 }, { "content": "def test_sleeps_then_fails():\n diesel.sleep(1)\n assert False, \"OH NOES!\"", "metadata": "root.test_sleeps_then_fails", "header": "['module', '___EOS___']", "index": 17 } ]

[ { "span": "import time", "start_line": 8, "start_column": 0, "end_line": 8, "end_column": 11 } ]

[]

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[ { "content": "try:\n from django.contrib.sessions.management.commands.clearsessions import Command # flake8: noqa\nexcept ImportError:\n pass # not supported on Django 1.4\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 } ]

[ { "span": "from django.contrib.sessions.management.commands.clearsessions import Command ", "start_line": 1, "start_column": 4, "end_line": 1, "end_column": 81 } ]

[]

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[ { "content": "def adequate(chroot_name, target, package_name, analysis):\n with schroot(chroot_name) as chroot:\n chroot.copy(target, \"/tmp\")\n\n out, err, ret = chroot.run([\n 'apt-get', 'install', '-y', 'adequate'\n ], user='root')\n\n os.environ['DEBIAN_FRONTEND'] = 'noninteractive'\n out, err, ret = chroot.run([\n 'dpkg', '-i',\n \"/tmp/%s\" % target\n ], user='root', return_codes=(0, 1), preserve_environment=True)\n\n out, err, ret = chroot.run([\n 'apt-get', 'install', '-y', '-f'\n ], user='root', preserve_environment=True)\n\n out, err, ret = chroot.run(['adequate', package_name])\n\n failed = False\n for issue in parse_adequate(out.splitlines()):\n failed = True\n analysis.results.append(issue)\n\n return (analysis, out, failed, None, None)", "metadata": "root.adequate", "header": "['module', '___EOS___']", "index": 27 } ]

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[ { "content": "# Copyright 2013 Yajie Miao Carnegie Mellon University\n\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# THIS CODE IS PROVIDED *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\n# KIND, EITHER EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED\n# WARRANTIES OR CONDITIONS OF TITLE, FITNESS FOR A PARTICULAR PURPOSE,\n# MERCHANTABLITY OR NON-INFRINGEMENT.\n# See the Apache 2 License for the specific language governing permissions and\n# limitations under the License.\n\nimport cPickle\nimport gzip\nimport os\nimport sys\nimport time\n\nimport numpy\n\nimport theano\nimport theano.tensor as T\nfrom theano.tensor.shared_randomstreams import RandomStreams\n\nfrom layers.logistic_sgd import LogisticRegression\nfrom layers.mlp import HiddenLayer\nfrom layers.da import dA, dA_maxout\n\n\n\n# an outdated class for SdA with maxout hidden activation. pre-training has been expirically found to be\n# NOT helpful for maxout networks, so we don't update this class\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class SdA(object):\n\n", "metadata": "root.SdA", "header": "['module', '___EOS___']", "index": 31 }, { "content": " def __init__(self, numpy_rng, theano_rng=None, cfg = None, dnn = None):\n \"\"\" Stacked Denoising Autoencoders for DNN Pre-training \"\"\"\n\n self.cfg = cfg\n self.hidden_layers_sizes = cfg.hidden_layers_sizes\n self.n_ins = cfg.n_ins\n self.hidden_layers_number = len(self.hidden_layers_sizes)\n\n self.dA_layers = []\n\n if not theano_rng:\n theano_rng = RandomStreams(numpy_rng.randint(2 ** 30))\n # allocate symbolic variables for the data\n self.x = dnn.x\n\n for i in xrange(self.hidden_layers_number):\n # the size of the input is either the number of hidden units of\n # the layer below, or the input size if we are on the first layer\n if i == 0:\n input_size = self.n_ins\n layer_input = self.x\n else:\n input_size = self.hidden_layers_sizes[i - 1]\n layer_input = dnn.layers[i-1].output\n\n # Construct a denoising autoencoder that shared weights with this layer\n if i == 0:\n reconstruct_activation = cfg.firstlayer_reconstruct_activation\n else:\n reconstruct_activation = cfg.hidden_activation\n dA_layer = dA(numpy_rng=numpy_rng,\n theano_rng=theano_rng,\n input=layer_input,\n n_visible=input_size,\n n_hidden=self.hidden_layers_sizes[i],\n W=dnn.layers[i].W,\n bhid=dnn.layers[i].b,\n sparsity = cfg.sparsity,\n sparsity_weight = cfg.sparsity_weight,\n hidden_activation = cfg.hidden_activation,\n reconstruct_activation = reconstruct_activation)\n self.dA_layers.append(dA_layer)", "metadata": "root.SdA.__init__", "header": "['class', 'SdA', '(', 'object', ')', ':', '___EOS___']", "index": 33 }, { "content": " def pretraining_functions(self, train_set_x, batch_size):\n\n # index to a [mini]batch\n index = T.lscalar('index') # index to a minibatch\n corruption_level = T.scalar('corruption') # % of corruption to use\n learning_rate = T.scalar('lr') # learning rate to use\n momentum = T.scalar('momentum')\n # number of batches\n n_batches = train_set_x.get_value(borrow=True).shape[0] / batch_size\n # begining of a batch, given `index`\n batch_begin = index * batch_size\n # ending of a batch given `index`\n batch_end = batch_begin + batch_size\n\n pretrain_fns = []\n for dA in self.dA_layers:\n # get the cost and the updates list\n cost, updates = dA.get_cost_updates(corruption_level, learning_rate, momentum)\n # compile the theano function\n fn = theano.function(inputs=[index,\n theano.Param(corruption_level, default=0.2),\n theano.Param(learning_rate, default=0.1),\n theano.Param(momentum, default=0.5)],\n outputs=cost,\n updates=updates,\n givens={self.x: train_set_x[batch_begin:batch_end]})\n # append `fn` to the list of functions\n pretrain_fns.append(fn)\n return pretrain_fns", "metadata": "root.SdA.pretraining_functions", "header": "['class', 'SdA', '(', 'object', ')', ':', '___EOS___']", "index": 76 }, { "content": "class SdA_maxout(object):\n\n", "metadata": "root.SdA_maxout", "header": "['module', '___EOS___']", "index": 109 }, { "content": " def __init__(self, numpy_rng, theano_rng=None, n_ins=784,\n hidden_layers_sizes=[500, 500], n_outs=10,\n corruption_levels=[0.1, 0.1], pool_size = 3,\n sparsity = None, sparsity_weight = None,\n first_reconstruct_activation = T.tanh):\n\n self.sigmoid_layers = []\n self.dA_layers = []\n self.params = []\n self.n_layers = len(hidden_layers_sizes)\n\n assert self.n_layers > 0\n\n if not theano_rng:\n theano_rng = RandomStreams(numpy_rng.randint(2 ** 30))\n # allocate symbolic variables for the data\n self.x = T.matrix('x')\n self.y = T.ivector('y')\n\n for i in xrange(self.n_layers):\n # construct the sigmoidal layer\n\n # the size of the input is either the number of hidden units of\n # the layer below or the input size if we are on the first layer\n if i == 0:\n input_size = n_ins\n else:\n input_size = hidden_layers_sizes[i - 1]\n\n # the input to this layer is either the activation of the hidden\n # layer below or the input of the SdA if you are on the first\n # layer\n if i == 0:\n layer_input = self.x\n else:\n layer_input = self.sigmoid_layers[-1].output\n\n sigmoid_layer = HiddenLayer(rng=numpy_rng,\n input=layer_input,\n n_in=input_size,\n n_out=hidden_layers_sizes[i] * pool_size,\n activation=(lambda x: 1.0*x),\n do_maxout = True, pool_size = pool_size)\n # add the layer to our list of layers\n self.sigmoid_layers.append(sigmoid_layer)\n\n self.params.extend(sigmoid_layer.params)\n\n # Construct a denoising autoencoder that shared weights with this layer\n if i == 0:\n reconstruct_activation = first_reconstruct_activation\n else:\n reconstruct_activation = (lambda x: 1.0*x)\n# reconstruct_activation = first_reconstruct_activation\n dA_layer = dA_maxout(numpy_rng=numpy_rng,\n theano_rng=theano_rng,\n input=layer_input,\n n_visible=input_size,\n n_hidden=hidden_layers_sizes[i] * pool_size,\n W=sigmoid_layer.W,\n bhid=sigmoid_layer.b,\n sparsity = sparsity,\n sparsity_weight = sparsity_weight,\n pool_size = pool_size,\n reconstruct_activation = reconstruct_activation)\n self.dA_layers.append(dA_layer)\n\n # We now need to add a logistic layer on top of the MLP\n self.logLayer = LogisticRegression(\n input=self.sigmoid_layers[-1].output,\n n_in=hidden_layers_sizes[-1], n_out=n_outs)\n\n self.sigmoid_layers.append(self.logLayer)\n self.params.extend(self.logLayer.params)\n # construct a function that implements one step of finetunining", "metadata": "root.SdA_maxout.__init__", "header": "['class', 'SdA_maxout', '(', 'object', ')', ':', '___EOS___']", "index": 111 }, { "content": " def pretraining_functions(self, train_set_x, batch_size):\n\n # index to a [mini]batch\n index = T.lscalar('index') # index to a minibatch\n corruption_level = T.scalar('corruption') # % of corruption to use\n learning_rate = T.scalar('lr') # learning rate to use\n # number of batches\n n_batches = train_set_x.get_value(borrow=True).shape[0] / batch_size\n # begining of a batch, given `index`\n batch_begin = index * batch_size\n # ending of a batch given `index`\n batch_end = batch_begin + batch_size\n\n pretrain_fns = []\n for dA in self.dA_layers:\n # get the cost and the updates list\n cost, updates = dA.get_cost_updates(corruption_level,\n learning_rate)\n # compile the theano function\n fn = theano.function(inputs=[index,\n theano.Param(corruption_level, default=0.2),\n theano.Param(learning_rate, default=0.1)],\n outputs=cost,\n updates=updates,\n givens={self.x: train_set_x[batch_begin:\n batch_end]})\n # append `fn` to the list of functions\n pretrain_fns.append(fn)\n\n return pretrain_fns", "metadata": "root.SdA_maxout.pretraining_functions", "header": "['class', 'SdA_maxout', '(', 'object', ')', ':', '___EOS___']", "index": 187 } ]

[ { "span": "import cPickle", "start_line": 15, "start_column": 0, "end_line": 15, "end_column": 14 }, { "span": "import gzip", "start_line": 16, "start_column": 0, "end_line": 16, "end_column": 11 }, { "span": "import os", "start_line": 17, "start_column": 0, "end_line": 17, "end_column": 9 }, { "span": "import sys", "start_line": 18, "start_column": 0, "end_line": 18, "end_column": 10 }, { "span": "import time", "start_line": 19, "start_column": 0, "end_line": 19, "end_column": 11 }, { "span": "import numpy", "start_line": 21, "start_column": 0, "end_line": 21, "end_column": 12 } ]

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[ { "content": " def test_flake8(self):\n flake8_analysis = flake8(self.filepath, self.firehose_results)\n content = flake8_analysis[1]\n self.assertTrue(\"missing whitespace around operator\" in content)\n\n # It think it is safe to say that the string is not 4 chars long\n self.assertTrue(len(content) > 4)", "metadata": "root.Flake8TestCase.test_flake8", "header": "['class', 'Flake8TestCase', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 39 }, { "content": " def test_flake8_wrappers(self):\n flake8_analysis = flake8(self.filepath, self.firehose_results)\n issues = parse_flake8(flake8_analysis[1].splitlines())\n i = 0\n for issue in issues:\n if issue.location.file.givenpath == \"./firehose/parsers/cppcheck.py\" and \\\n issue.location.point.line==37 and issue.location.point.column==5:\n found = issue\n i += 1\n print found\n self.assertEquals(found.testid, \"F841\")\n self.assertEquals(found.location.file.givenpath,\n \"./firehose/parsers/cppcheck.py\")\n self.assertEquals(found.location.point.line, 37)\n self.assertEquals(found.location.point.column, 5)\n self.assertEquals(found.severity, \"error\")\n self.assertIsNone(found.notes)\n self.assertIsNone(found.customfields)\n self.assertTrue(\"F841 local variable 'version' is assigned to but never used\"\n in found.message.text)\n self.assertTrue(i > 100)", "metadata": "root.Flake8TestCase.test_flake8_wrappers", "header": "['class', 'Flake8TestCase', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 48 } ]

[ { "span": "self.assertTrue(\"missing whitespace around operator\" in content)", "start_line": 42, "start_column": 8, "end_line": 42, "end_column": 72 }, { "span": "self.assertTrue(len(content) > 4)", "start_line": 45, "start_column": 8, "end_line": 45, "end_column": 41 }, { "span": "self.assertTrue(\"F841 local variable 'version' is assigned to but never used\"\n in found.message.text)", "start_line": 66, "start_column": 8, "end_line": 67, "end_column": 38 }, { "span": "self.assertTrue(i > 100)", "start_line": 68, "start_column": 8, "end_line": 68, "end_column": 32 } ]

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[ { "content": "''' Python imports '''\nimport datetime as dt\n\n''' 3rd party imports '''\nimport numpy as np\nimport pandas as pand\nimport matplotlib.pyplot as plt\n\n''' QSTK imports '''\nfrom QSTK.qstkutil import DataAccess as da\nfrom QSTK.qstkutil import qsdateutil as du\n\nfrom QSTK.qstkfeat.features import featMA, featRSI, featDrawDown, featRunUp, featVolumeDelta, featAroon\nfrom QSTK.qstkfeat.classes import class_fut_ret\nimport QSTK.qstkfeat.featutil as ftu\t\n\t\nimport sys\n\nMAX_ITERATIONS = 500\n\t\n\n\t\t\t\n\n\n\n\t\n\t\n\n\t\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def learnerTest( naTrain, naTest ):\n\t#create the learner with the train set with K=5\n\tcLearn = ftu.createKnnLearner( naTrain, lKnn=5 )\n\t#get the Y values predicted by the learner\n\tYpredicted = cLearn.query( naTest[:,:-1] )\n\t#get the actual Y values\n\tY = naTest[:,-1]\n\t#calculate the correlation coefficient\n\tcorrcoef = np.corrcoef(Y,Ypredicted)[0][1]\n\t#return the corrcoef\n\treturn corrcoef\t", "metadata": "root.learnerTest", "header": "['module', '___EOS___']", "index": 20 }, { "content": "def nextBestFeature(naFeatTrain,naFeatTest,lSelectedFeatures,lRemainingFeatures,classLabelIndex):\n\tsys.stdout.write('nextBestFeature\\n')\n\t\n\tbestFeature = -1\n\tbestFeatureCorrCoef = 0\n\tfor x in lRemainingFeatures:\n\t\tlCurrentFeatureSet = [x]+lSelectedFeatures+[classLabelIndex]\n\t\tsys.stdout.write('testing feature set ' + str(lCurrentFeatureSet))\n\t\tcurrentTrain = naFeatTrain[:,lCurrentFeatureSet]\n\t\tcurrentTest = naFeatTest[:,lCurrentFeatureSet]\n\t\tcurrentCorrCoef = learnerTest(currentTrain,currentTest)\n\t\tsys.stdout.write(' :: corr coef = ' + str(currentCorrCoef) + '\\n')\n\t\tif bestFeature == -1 or bestFeatureCorrCoef < currentCorrCoef:\n\t\t\tbestFeature = x\n\t\t\tbestFeatureCorrCoef = currentCorrCoef\n\t\t\t\n\tsys.stdout.write('nextBestFeature: ' + str(bestFeature) + '\\n')\n\tsys.stdout.write('bestFeatureCorrCoef: ' + str(bestFeatureCorrCoef) + '\\n\\n')\n\treturn {'bestFeature':bestFeature,'bestFeatureCorrCoef':bestFeatureCorrCoef}", "metadata": "root.nextBestFeature", "header": "['module', '___EOS___']", "index": 32 }, { "content": "def nextWorstFeature(naFeatTrain,naFeatTest,lSelectedFeatures,classLabelIndex):\n\tsys.stdout.write('nextWorstFeature\\n')\n\n\tif len(lSelectedFeatures) == 1:\n\t\tsys.stdout.write('nextWorstFeature: ' + str(lSelectedFeatures[0]) + '\\n')\n\t\tsys.stdout.write('worstFeatureCorrCoef: ' + str(-999) + '\\n\\n')\n\t\treturn {'worstFeature':lSelectedFeatures[0],'worstFeatureCorrCoef':-999}\n\n\tworstFeature = -1\n\tworstFeatureCorrCoef = 0\n\tfor x in lSelectedFeatures:\n\t\tlSelectedFeaturesCopy = lSelectedFeatures[:]\n\t\tlSelectedFeaturesCopy.remove(x);\t\t\t\n\t\tlCurrentFeatureSet = lSelectedFeaturesCopy + [classLabelIndex]\n\t\tsys.stdout.write('testing feature set ' + str(lCurrentFeatureSet))\n\t\tcurrentTrain = naFeatTrain[:,lCurrentFeatureSet]\n\t\tcurrentTest = naFeatTest[:,lCurrentFeatureSet]\n\t\tcurrentCorrCoef = learnerTest(currentTrain,currentTest)\n\t\tsys.stdout.write(' :: corr coef = ' + str(currentCorrCoef) + '\\n')\n\t\tif worstFeature == -1 or worstFeatureCorrCoef < currentCorrCoef:\n\t\t\tworstFeature = x\n\t\t\tworstFeatureCorrCoef = currentCorrCoef\n\t\t\t\n\tsys.stdout.write('nextWorstFeature: ' + str(worstFeature) + '\\n')\n\tsys.stdout.write('worstFeatureCorrCoef: ' + str(worstFeatureCorrCoef) + '\\n\\n')\n\treturn {'worstFeature':worstFeature,'worstFeatureCorrCoef':worstFeatureCorrCoef}", "metadata": "root.nextWorstFeature", "header": "['module', '___EOS___']", "index": 52 }, { "content": "def sequentialForwardSelection(naFeatTrain,naFeatTest,lFeatures,classLabelIndex):\n\tlSelectedFeatures = list()\n\tlRemainingFeatures = lFeatures[:]\n\tlCorrCoef = list();\n\twhile len(lRemainingFeatures) > 0:\n\t\tsys.stdout.write('lSelectedFeatures: ' + str(lSelectedFeatures) + '\\n')\n\t\tsys.stdout.write('lRemainingFeatures: ' + str(lRemainingFeatures) + '\\n')\n\t\tsys.stdout.write('lCorrCoef: ' + str(lCorrCoef) + '\\n')\n\t\tretValue = nextBestFeature(naFeatTrain,naFeatTest,lSelectedFeatures,lRemainingFeatures,classLabelIndex)\n\t\tlSelectedFeatures.append(retValue['bestFeature'])\n\t\tlRemainingFeatures.remove(retValue['bestFeature'])\n\t\tlCorrCoef.append(retValue['bestFeatureCorrCoef'])\n\t\t\n\tmaxlCorrCoef = max(lCorrCoef)\n\tmaxlCorrCoefIndex = lCorrCoef.index(maxlCorrCoef)\n\tsys.stdout.write('best feature set is ' + str(lSelectedFeatures[0:maxlCorrCoefIndex+1]+[classLabelIndex]) + '\\n')\n\tsys.stdout.write('corr coef = ' + str(maxlCorrCoef))\n\treturn maxlCorrCoef", "metadata": "root.sequentialForwardSelection", "header": "['module', '___EOS___']", "index": 79 }, { "content": "def sequentialBackwardSelection(naFeatTrain,naFeatTest,lFeatures,classLabelIndex):\n\tlSelectedFeatures = lFeatures[:]\n\tlCorrCoef = list()\n\tlRemovedFeatures = list()\n\twhile len(lSelectedFeatures) > 0:\n\t\tsys.stdout.write('lSelectedFeatures: ' + str(lSelectedFeatures) + '\\n')\n\t\tsys.stdout.write('lRemovedFeatures: ' + str(lRemovedFeatures) + '\\n')\n\t\tsys.stdout.write('lCorrCoef: ' + str(lCorrCoef) + '\\n')\n\t\tretValue = nextWorstFeature(naFeatTrain,naFeatTest,lSelectedFeatures,classLabelIndex)\n\t\tlSelectedFeatures.remove(retValue['worstFeature'])\n\t\tlCorrCoef.append(retValue['worstFeatureCorrCoef'])\n\t\tlRemovedFeatures.append(retValue['worstFeature'])\n\t\t\n\tmaxlCorrCoef = max(lCorrCoef)\n\tmaxlCorrCoefIndex = lCorrCoef.index(maxlCorrCoef)\n\tlBestSet = list(set(lFeatures) - set(lRemovedFeatures[0:maxlCorrCoefIndex+1]))\n\tsys.stdout.write('best feature set is ' + str(lBestSet+[classLabelIndex]) + '\\n')\n\tsys.stdout.write('corr coef = ' + str(maxlCorrCoef))\n\treturn maxlCorrCoef", "metadata": "root.sequentialBackwardSelection", "header": "['module', '___EOS___']", "index": 98 }, { "content": "def sequentialFloatingForwardSelection(naFeatTrain,naFeatTest,lFeatures,classLabelIndex):\n\tglobal MAX_ITERATIONS\n\tlSelectedFeatures = list()\n\tlRemainingFeatures = lFeatures[:]\n\tlCorrCoef = list()\n\tlSeenStates = list()\n\twhile len(lRemainingFeatures) > 0:\n\t\tsys.stdout.write('lSelectedFeatures: ' + str(lSelectedFeatures) + '\\n')\n\t\tsys.stdout.write('lRemainingFeatures: ' + str(lRemainingFeatures) + '\\n')\n\t\tsys.stdout.write('lCorrCoef: ' + str(lCorrCoef) + '\\n')\n\t\tretValue = nextBestFeature(naFeatTrain,naFeatTest,lSelectedFeatures,lRemainingFeatures,classLabelIndex)\n\t\tlSelectedFeatures.append(retValue['bestFeature'])\n\t\tlSeenStates.append(set(lSelectedFeatures))\n\t\tlRemainingFeatures.remove(retValue['bestFeature'])\n\t\tlCorrCoef.append(retValue['bestFeatureCorrCoef'])\n\t\twhile True:\n\t\t\tsys.stdout.write('lSelectedFeatures: ' + str(lSelectedFeatures) + '\\n')\n\t\t\tsys.stdout.write('lRemainingFeatures: ' + str(lRemainingFeatures) + '\\n')\n\t\t\tsys.stdout.write('lCorrCoef: ' + str(lCorrCoef) + '\\n')\n\t\t\tretValue2 = nextWorstFeature(naFeatTrain,naFeatTest,lSelectedFeatures,classLabelIndex)\n\t\t\tif lCorrCoef[-1] < retValue2['worstFeatureCorrCoef']:\n\t\t\t\tnewState = set(lSelectedFeatures)\n\t\t\t\tnewState.remove(retValue2['worstFeature'])\n\t\t\t\tif newState in lSeenStates:\n\t\t\t\t\tsys.stdout.write('feature not removed b/c state already seen. \\n\\n')\n\t\t\t\t\tbreak\n\t\t\t\tlSelectedFeatures.remove(retValue2['worstFeature'])\n\t\t\t\tlSeenStates.append(set(lSelectedFeatures))\n\t\t\t\tlRemainingFeatures.append(retValue2['worstFeature'])\n\t\t\t\tlCorrCoef.append(retValue2['worstFeatureCorrCoef'])\n\t\t\telse:\n\t\t\t\tsys.stdout.write('feature not removed b/c corr not higher. \\n\\n')\n\t\t\t\tbreak\n\t\tif len(lSeenStates) >= MAX_ITERATIONS:\n\t\t\tsys.stdout.write('QUITTING B/C len(lSeenStates) >= MAX_ITERATIONS: ' + str(len(lSeenStates)) + '\\n\\n')\n\t\t\tbreak\n\t\n\tmaxlCorrCoef = max(lCorrCoef)\n\tmaxlCorrCoefIndex = lCorrCoef.index(maxlCorrCoef)\n\tsys.stdout.write('best feature set is ' + str(list(lSeenStates[maxlCorrCoefIndex])+[classLabelIndex]) + '\\n')\n\tsys.stdout.write('corr coef = ' + str(maxlCorrCoef))\n\treturn maxlCorrCoef", "metadata": "root.sequentialFloatingForwardSelection", "header": "['module', '___EOS___']", "index": 118 }, { "content": "def sequentialFloatingBackwardSelection(naFeatTrain,naFeatTest,lFeatures,classLabelIndex):\n\tglobal MAX_ITERATIONS\n\tlSelectedFeatures = lFeatures[:]\n\tlRemainingFeatures = list()\n\tlCorrCoef = list()\n\tlSeenStates = list()\n\twhile len(lSelectedFeatures) > 0:\n\t\tsys.stdout.write('lSelectedFeatures: ' + str(lSelectedFeatures) + '\\n')\n\t\tsys.stdout.write('lRemainingFeatures: ' + str(lRemainingFeatures) + '\\n')\n\t\tsys.stdout.write('lCorrCoef: ' + str(lCorrCoef) + '\\n')\n\t\tretValue = nextWorstFeature(naFeatTrain,naFeatTest,lSelectedFeatures,classLabelIndex)\n\t\tlSelectedFeatures.remove(retValue['worstFeature'])\n\t\tlSeenStates.append(set(lSelectedFeatures))\n\t\tlRemainingFeatures.append(retValue['worstFeature'])\n\t\tlCorrCoef.append(retValue['worstFeatureCorrCoef'])\n\t\twhile True:\n\t\t\tsys.stdout.write('lSelectedFeatures: ' + str(lSelectedFeatures) + '\\n')\n\t\t\tsys.stdout.write('lRemainingFeatures: ' + str(lRemainingFeatures) + '\\n')\n\t\t\tsys.stdout.write('lCorrCoef: ' + str(lCorrCoef) + '\\n')\n\t\t\tretValue2 = nextBestFeature(naFeatTrain,naFeatTest,lSelectedFeatures,lRemainingFeatures,classLabelIndex)\n\t\t\tif lCorrCoef[-1] < retValue2['bestFeatureCorrCoef']:\n\t\t\t\tnewState = set(lSelectedFeatures)\n\t\t\t\tnewState.add(retValue2['bestFeature'])\n\t\t\t\tif newState in lSeenStates:\n\t\t\t\t\tsys.stdout.write('feature not added b/c state already seen. \\n\\n')\n\t\t\t\t\tbreak\n\t\t\t\tlSelectedFeatures.append(retValue2['bestFeature'])\n\t\t\t\tlSeenStates.append(set(lSelectedFeatures))\n\t\t\t\tlRemainingFeatures.remove(retValue2['bestFeature'])\n\t\t\t\tlCorrCoef.append(retValue2['bestFeatureCorrCoef'])\n\t\t\telse:\n\t\t\t\tsys.stdout.write('feature not added b/c corr not higher. \\n\\n')\n\t\t\t\tbreak\n\t\tif len(lSeenStates) >= MAX_ITERATIONS:\n\t\t\tsys.stdout.write('QUITTING B/C len(lSeenStates) >= MAX_ITERATIONS: ' + str(len(lSeenStates)) + '\\n\\n')\n\t\t\tbreak\n\t\n\tmaxlCorrCoef = max(lCorrCoef)\n\tmaxlCorrCoefIndex = lCorrCoef.index(maxlCorrCoef)\n\tsys.stdout.write('best feature set is ' + str(list(lSeenStates[maxlCorrCoefIndex])+[classLabelIndex]) + '\\n')\n\tsys.stdout.write('corr coef = ' + str(maxlCorrCoef))\n\treturn maxlCorrCoef", "metadata": "root.sequentialFloatingBackwardSelection", "header": "['module', '___EOS___']", "index": 161 }, { "content": "def sequentialFloatingForwardSelectionNew(naFeatTrain,naFeatTest,lFeatures,classLabelIndex):\n\tglobal MAX_ITERATIONS\n\tlSelectedFeatures = list()\n\tlRemainingFeatures = lFeatures[:]\n\tlCorrCoef = list()\n\tlSeenStates = list()\n\t\n\tretValue = 0\n\twhile len(lRemainingFeatures) > 0:\n\t\tchange = False\n\t\twhile True:\n\t\t\tsys.stdout.write('lSelectedFeatures: ' + str(lSelectedFeatures) + '\\n')\n\t\t\tsys.stdout.write('lRemainingFeatures: ' + str(lRemainingFeatures) + '\\n')\n\t\t\tsys.stdout.write('lCorrCoef: ' + str(lCorrCoef) + '\\n')\n\t\t\tretValue = nextBestFeature(naFeatTrain,naFeatTest,lSelectedFeatures,lRemainingFeatures,classLabelIndex)\n\t\t\tif len(lCorrCoef)==0 or lCorrCoef[-1] < retValue['bestFeatureCorrCoef']:\n\t\t\t\tnewState = set(lSelectedFeatures)\n\t\t\t\tnewState.add(retValue['bestFeature'])\n\t\t\t\tif newState in lSeenStates:\n\t\t\t\t\tsys.stdout.write('feature not added b/c state already seen. \\n\\n')\n\t\t\t\t\tbreak\n\t\t\t\tlSelectedFeatures.append(retValue['bestFeature'])\n\t\t\t\tlSeenStates.append(set(lSelectedFeatures))\n\t\t\t\tlRemainingFeatures.remove(retValue['bestFeature'])\n\t\t\t\tlCorrCoef.append(retValue['bestFeatureCorrCoef'])\n\t\t\telse:\n\t\t\t\tsys.stdout.write('feature not added b/c corr not higher. \\n\\n')\n\t\t\t\tbreak\n\t\twhile True:\n\t\t\tsys.stdout.write('lSelectedFeatures: ' + str(lSelectedFeatures) + '\\n')\n\t\t\tsys.stdout.write('lRemainingFeatures: ' + str(lRemainingFeatures) + '\\n')\n\t\t\tsys.stdout.write('lCorrCoef: ' + str(lCorrCoef) + '\\n')\n\t\t\tretValue2 = nextWorstFeature(naFeatTrain,naFeatTest,lSelectedFeatures,classLabelIndex)\n\t\t\tif lCorrCoef[-1] < retValue2['worstFeatureCorrCoef']:\n\t\t\t\tnewState = set(lSelectedFeatures)\n\t\t\t\tnewState.remove(retValue2['worstFeature'])\n\t\t\t\tif newState in lSeenStates:\n\t\t\t\t\tsys.stdout.write('feature not removed b/c state already seen. \\n\\n')\n\t\t\t\t\tbreak\n\t\t\t\tlSelectedFeatures.remove(retValue2['worstFeature'])\n\t\t\t\tlSeenStates.append(set(lSelectedFeatures))\n\t\t\t\tlRemainingFeatures.append(retValue2['worstFeature'])\n\t\t\t\tlCorrCoef.append(retValue2['worstFeatureCorrCoef'])\n\t\t\t\tchange = True\n\t\t\telse:\n\t\t\t\tsys.stdout.write('feature not removed b/c corr not higher. \\n\\n')\n\t\t\t\tbreak\n\t\tif not change:\n\t\t\tlSelectedFeatures.append(retValue['bestFeature'])\n\t\t\tlSeenStates.append(set(lSelectedFeatures))\n\t\t\tlRemainingFeatures.remove(retValue['bestFeature'])\n\t\t\tlCorrCoef.append(retValue['bestFeatureCorrCoef'])\n\t\t\tsys.stdout.write('feature added b/c no features were removed. \\n\\n')\n\t\t\t\n\t\tif len(lSeenStates) >= MAX_ITERATIONS:\n\t\t\tsys.stdout.write('QUITTING B/C len(lSeenStates) >= MAX_ITERATIONS: ' + str(len(lSeenStates)) + '\\n\\n')\n\t\t\tbreak\n\t\n\tmaxlCorrCoef = max(lCorrCoef)\n\tmaxlCorrCoefIndex = lCorrCoef.index(maxlCorrCoef)\n\tsys.stdout.write('best feature set is ' + str(list(lSeenStates[maxlCorrCoefIndex])+[classLabelIndex]) + '\\n')\n\tsys.stdout.write('corr coef = ' + str(maxlCorrCoef))\n\treturn maxlCorrCoef", "metadata": "root.sequentialFloatingForwardSelectionNew", "header": "['module', '___EOS___']", "index": 204 }, { "content": "def sequentialFloatingBackwardSelectionNew(naFeatTrain,naFeatTest,lFeatures,classLabelIndex):\n\tglobal MAX_ITERATIONS\n\tlSelectedFeatures = lFeatures[:]\n\tlRemainingFeatures = list()\n\tlCorrCoef = list()\n\tlSeenStates = list()\n\t\n\tretValue = 0\n\twhile len(lSelectedFeatures) > 0:\n\t\tchange = False\n\t\twhile True:\n\t\t\tsys.stdout.write('lSelectedFeatures: ' + str(lSelectedFeatures) + '\\n')\n\t\t\tsys.stdout.write('lRemainingFeatures: ' + str(lRemainingFeatures) + '\\n')\n\t\t\tsys.stdout.write('lCorrCoef: ' + str(lCorrCoef) + '\\n')\n\t\t\tretValue = nextWorstFeature(naFeatTrain,naFeatTest,lSelectedFeatures,classLabelIndex)\n\t\t\tif len(lCorrCoef)==0 or lCorrCoef[-1] < retValue['worstFeatureCorrCoef']:\n\t\t\t\tnewState = set(lSelectedFeatures)\n\t\t\t\tnewState.remove(retValue['worstFeature'])\n\t\t\t\tif newState in lSeenStates:\n\t\t\t\t\tsys.stdout.write('feature not removed b/c state already seen. \\n\\n')\n\t\t\t\t\tbreak\n\t\t\t\tlSelectedFeatures.remove(retValue['worstFeature'])\n\t\t\t\tlSeenStates.append(set(lSelectedFeatures))\n\t\t\t\tlRemainingFeatures.append(retValue['worstFeature'])\n\t\t\t\tlCorrCoef.append(retValue['worstFeatureCorrCoef'])\n\t\t\telse:\n\t\t\t\tsys.stdout.write('feature not removed b/c corr not higher. \\n\\n')\n\t\t\t\tbreak\n\t\twhile True:\n\t\t\tsys.stdout.write('lSelectedFeatures: ' + str(lSelectedFeatures) + '\\n')\n\t\t\tsys.stdout.write('lRemainingFeatures: ' + str(lRemainingFeatures) + '\\n')\n\t\t\tsys.stdout.write('lCorrCoef: ' + str(lCorrCoef) + '\\n')\n\t\t\tretValue2 = nextBestFeature(naFeatTrain,naFeatTest,lSelectedFeatures,lRemainingFeatures,classLabelIndex)\n\t\t\tif lCorrCoef[-1] < retValue2['bestFeatureCorrCoef']:\n\t\t\t\tnewState = set(lSelectedFeatures)\n\t\t\t\tnewState.add(retValue2['bestFeature'])\n\t\t\t\tif newState in lSeenStates:\n\t\t\t\t\tsys.stdout.write('feature not added b/c state already seen. \\n\\n')\n\t\t\t\t\tbreak\n\t\t\t\tlSelectedFeatures.append(retValue2['bestFeature'])\n\t\t\t\tlSeenStates.append(set(lSelectedFeatures))\n\t\t\t\tlRemainingFeatures.remove(retValue2['bestFeature'])\n\t\t\t\tlCorrCoef.append(retValue2['bestFeatureCorrCoef'])\n\t\t\t\tchange = True\n\t\t\telse:\n\t\t\t\tsys.stdout.write('feature not added b/c corr not higher. \\n\\n')\n\t\t\t\tbreak\n\t\tif not change:\n\t\t\tlSelectedFeatures.remove(retValue['worstFeature'])\n\t\t\tlSeenStates.append(set(lSelectedFeatures))\n\t\t\tlRemainingFeatures.append(retValue['worstFeature'])\n\t\t\tlCorrCoef.append(retValue['worstFeatureCorrCoef'])\n\t\t\tsys.stdout.write('feature removed b/c no features were added. \\n\\n')\n\t\t\t\n\t\tif len(lSeenStates) >= MAX_ITERATIONS:\n\t\t\tsys.stdout.write('QUITTING B/C len(lSeenStates) >= MAX_ITERATIONS: ' + str(len(lSeenStates)) + '\\n\\n')\n\t\t\tbreak\n\t\n\tmaxlCorrCoef = max(lCorrCoef)\n\tmaxlCorrCoefIndex = lCorrCoef.index(maxlCorrCoef)\n\tsys.stdout.write('best feature set is ' + str(list(lSeenStates[maxlCorrCoefIndex])+[classLabelIndex]) + '\\n')\n\tsys.stdout.write('corr coef = ' + str(maxlCorrCoef))\n\treturn maxlCorrCoef", "metadata": "root.sequentialFloatingBackwardSelectionNew", "header": "['module', '___EOS___']", "index": 268 }, { "content": "def sequentialFloatingForwardSelectionNew_Max(naFeatTrain,naFeatTest,lFeatures,classLabelIndex):\n\tglobal MAX_ITERATIONS\n\tlSelectedFeatures = list()\n\tlRemainingFeatures = lFeatures[:]\n\tlCorrCoef = list()\n\tlSeenStates = list()\n\tmaxCorrCoef = -100\n\t\n\tretValue = 0\n\twhile len(lRemainingFeatures) > 0:\n\t\tchange = False\n\t\twhile True:\n\t\t\tsys.stdout.write('lSelectedFeatures: ' + str(lSelectedFeatures) + '\\n')\n\t\t\tsys.stdout.write('lRemainingFeatures: ' + str(lRemainingFeatures) + '\\n')\n\t\t\tsys.stdout.write('lCorrCoef: ' + str(lCorrCoef) + '\\n')\n\t\t\tretValue = nextBestFeature(naFeatTrain,naFeatTest,lSelectedFeatures,lRemainingFeatures,classLabelIndex)\n\t\t\tif len(lCorrCoef)==0 or maxCorrCoef < retValue['bestFeatureCorrCoef']:\n\t\t\t\tnewState = set(lSelectedFeatures)\n\t\t\t\tnewState.add(retValue['bestFeature'])\n\t\t\t\tif newState in lSeenStates:\n\t\t\t\t\tsys.stdout.write('feature not added b/c state already seen. \\n\\n')\n\t\t\t\t\tbreak\n\t\t\t\tlSelectedFeatures.append(retValue['bestFeature'])\n\t\t\t\tlSeenStates.append(set(lSelectedFeatures))\n\t\t\t\tlRemainingFeatures.remove(retValue['bestFeature'])\n\t\t\t\tlCorrCoef.append(retValue['bestFeatureCorrCoef'])\n\t\t\t\tmaxCorrCoef = max(maxCorrCoef,retValue['bestFeatureCorrCoef'])\n\t\t\telse:\n\t\t\t\tsys.stdout.write('feature not added b/c corr not higher. \\n\\n')\n\t\t\t\tbreak\n\t\twhile True:\n\t\t\tsys.stdout.write('lSelectedFeatures: ' + str(lSelectedFeatures) + '\\n')\n\t\t\tsys.stdout.write('lRemainingFeatures: ' + str(lRemainingFeatures) + '\\n')\n\t\t\tsys.stdout.write('lCorrCoef: ' + str(lCorrCoef) + '\\n')\n\t\t\tretValue2 = nextWorstFeature(naFeatTrain,naFeatTest,lSelectedFeatures,classLabelIndex)\n\t\t\tif maxCorrCoef < retValue2['worstFeatureCorrCoef']:\n\t\t\t\tnewState = set(lSelectedFeatures)\n\t\t\t\tnewState.remove(retValue2['worstFeature'])\n\t\t\t\tif newState in lSeenStates:\n\t\t\t\t\tsys.stdout.write('feature not removed b/c state already seen. \\n\\n')\n\t\t\t\t\tbreak\n\t\t\t\tlSelectedFeatures.remove(retValue2['worstFeature'])\n\t\t\t\tlSeenStates.append(set(lSelectedFeatures))\n\t\t\t\tlRemainingFeatures.append(retValue2['worstFeature'])\n\t\t\t\tlCorrCoef.append(retValue2['worstFeatureCorrCoef'])\n\t\t\t\tmaxCorrCoef = max(maxCorrCoef,retValue2['worstFeatureCorrCoef'])\n\t\t\t\tchange = True\n\t\t\telse:\n\t\t\t\tsys.stdout.write('feature not removed b/c corr not higher. \\n\\n')\n\t\t\t\tbreak\n\t\tif not change:\n\t\t\tlSelectedFeatures.append(retValue['bestFeature'])\n\t\t\tlSeenStates.append(set(lSelectedFeatures))\n\t\t\tlRemainingFeatures.remove(retValue['bestFeature'])\n\t\t\tlCorrCoef.append(retValue['bestFeatureCorrCoef'])\n\t\t\tmaxCorrCoef = max(maxCorrCoef,retValue['bestFeatureCorrCoef'])\n\t\t\tsys.stdout.write('feature added b/c no features were removed. \\n\\n')\n\t\t\t\n\t\tif len(lSeenStates) >= MAX_ITERATIONS:\n\t\t\tsys.stdout.write('QUITTING B/C len(lSeenStates) >= MAX_ITERATIONS: ' + str(len(lSeenStates)) + '\\n\\n')\n\t\t\tbreak\n\t\n\tmaxlCorrCoef = max(lCorrCoef)\n\tmaxlCorrCoefIndex = lCorrCoef.index(maxlCorrCoef)\n\tsys.stdout.write('best feature set is ' + str(list(lSeenStates[maxlCorrCoefIndex])+[classLabelIndex]) + '\\n')\n\tsys.stdout.write('corr coef = ' + str(maxlCorrCoef))\n\treturn maxlCorrCoef", "metadata": "root.sequentialFloatingForwardSelectionNew_Max", "header": "['module', '___EOS___']", "index": 332 }, { "content": "def sequentialFloatingBackwardSelectionNew_Max(naFeatTrain,naFeatTest,lFeatures,classLabelIndex):\n\tglobal MAX_ITERATIONS\n\tlSelectedFeatures = lFeatures[:]\n\tlRemainingFeatures = list()\n\tlCorrCoef = list()\n\tlSeenStates = list()\n\tmaxCorrCoef = -100\n\t\n\tretValue = 0\n\twhile len(lSelectedFeatures) > 0:\n\t\tchange = False\n\t\twhile True:\n\t\t\tsys.stdout.write('lSelectedFeatures: ' + str(lSelectedFeatures) + '\\n')\n\t\t\tsys.stdout.write('lRemainingFeatures: ' + str(lRemainingFeatures) + '\\n')\n\t\t\tsys.stdout.write('lCorrCoef: ' + str(lCorrCoef) + '\\n')\n\t\t\tretValue = nextWorstFeature(naFeatTrain,naFeatTest,lSelectedFeatures,classLabelIndex)\n\t\t\tif len(lCorrCoef)==0 or maxCorrCoef < retValue['worstFeatureCorrCoef']:\n\t\t\t\tnewState = set(lSelectedFeatures)\n\t\t\t\tnewState.remove(retValue['worstFeature'])\n\t\t\t\tif newState in lSeenStates:\n\t\t\t\t\tsys.stdout.write('feature not removed b/c state already seen. \\n\\n')\n\t\t\t\t\tbreak\n\t\t\t\tlSelectedFeatures.remove(retValue['worstFeature'])\n\t\t\t\tlSeenStates.append(set(lSelectedFeatures))\n\t\t\t\tlRemainingFeatures.append(retValue['worstFeature'])\n\t\t\t\tlCorrCoef.append(retValue['worstFeatureCorrCoef'])\n\t\t\t\tmaxCorrCoef = max(maxCorrCoef,retValue['worstFeatureCorrCoef'])\n\t\t\telse:\n\t\t\t\tsys.stdout.write('feature not removed b/c corr not higher. \\n\\n')\n\t\t\t\tbreak\n\t\twhile True:\n\t\t\tsys.stdout.write('lSelectedFeatures: ' + str(lSelectedFeatures) + '\\n')\n\t\t\tsys.stdout.write('lRemainingFeatures: ' + str(lRemainingFeatures) + '\\n')\n\t\t\tsys.stdout.write('lCorrCoef: ' + str(lCorrCoef) + '\\n')\n\t\t\tretValue2 = nextBestFeature(naFeatTrain,naFeatTest,lSelectedFeatures,lRemainingFeatures,classLabelIndex)\n\t\t\tif maxCorrCoef < retValue2['bestFeatureCorrCoef']:\n\t\t\t\tnewState = set(lSelectedFeatures)\n\t\t\t\tnewState.add(retValue2['bestFeature'])\n\t\t\t\tif newState in lSeenStates:\n\t\t\t\t\tsys.stdout.write('feature not added b/c state already seen. \\n\\n')\n\t\t\t\t\tbreak\n\t\t\t\tlSelectedFeatures.append(retValue2['bestFeature'])\n\t\t\t\tlSeenStates.append(set(lSelectedFeatures))\n\t\t\t\tlRemainingFeatures.remove(retValue2['bestFeature'])\n\t\t\t\tlCorrCoef.append(retValue2['bestFeatureCorrCoef'])\n\t\t\t\tmaxCorrCoef = max(maxCorrCoef,retValue2['bestFeatureCorrCoef'])\n\t\t\t\tchange = True\n\t\t\telse:\n\t\t\t\tsys.stdout.write('feature not added b/c corr not higher. \\n\\n')\n\t\t\t\tbreak\n\t\tif not change:\n\t\t\tlSelectedFeatures.remove(retValue['worstFeature'])\n\t\t\tlSeenStates.append(set(lSelectedFeatures))\n\t\t\tlRemainingFeatures.append(retValue['worstFeature'])\n\t\t\tlCorrCoef.append(retValue['worstFeatureCorrCoef'])\n\t\t\tmaxCorrCoef = max(maxCorrCoef,retValue['worstFeatureCorrCoef'])\n\t\t\tsys.stdout.write('feature removed b/c no features were added. \\n\\n')\n\t\n\t\tif len(lSeenStates) >= MAX_ITERATIONS:\n\t\t\tsys.stdout.write('QUITTING B/C len(lSeenStates) >= MAX_ITERATIONS: ' + str(len(lSeenStates)) + '\\n\\n')\n\t\t\tbreak\n\t\n\tmaxlCorrCoef = max(lCorrCoef)\n\tmaxlCorrCoefIndex = lCorrCoef.index(maxlCorrCoef)\n\tsys.stdout.write('best feature set is ' + str(list(lSeenStates[maxlCorrCoefIndex])+[classLabelIndex]) + '\\n')\n\tsys.stdout.write('corr coef = ' + str(maxlCorrCoef))\n\treturn maxlCorrCoef", "metadata": "root.sequentialFloatingBackwardSelectionNew_Max", "header": "['module', '___EOS___']", "index": 400 } ]

[ { "span": "import datetime as dt", "start_line": 1, "start_column": 0, "end_line": 1, "end_column": 21 }, { "span": "import pandas as pand", "start_line": 5, "start_column": 0, "end_line": 5, "end_column": 21 }, { "span": "import matplotlib.pyplot as plt", "start_line": 6, "start_column": 0, "end_line": 6, "end_column": 31 }, { "span": "from QSTK.qstkutil import DataAccess as da", "start_line": 9, "start_column": 0, "end_line": 9, "end_column": 42 }, { "span": "from QSTK.qstkutil import qsdateutil as du", "start_line": 10, "start_column": 0, "end_line": 10, "end_column": 42 }, { "span": "from QSTK.qstkfeat.features import featMA, featRSI, featDrawDown, featRunUp, featVolumeDelta, featAroon", "start_line": 12, "start_column": 0, "end_line": 12, "end_column": 103 }, { "span": "from QSTK.qstkfeat.classes import class_fut_ret", "start_line": 13, "start_column": 0, "end_line": 13, "end_column": 47 } ]

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[ { "content": "#/p Copyright 2014 Open Connectome Project (http://openconnecto.me)\n# \n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n# \n# http://www.apache.org/licenses/LICENSE-2.0\n# \n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\nimport numpy as np\nimport json\nimport urllib2\nfrom lxml import etree\nfrom django.conf import settings\n\nimport ocpcadb\nfrom ocptype import ZSLICES\n\nimport logging\nlogger=logging.getLogger(\"ocp\")\n\n\n\n\n\n\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def projdict ( proj ):\n\n projdict = {}\n projdict['name'] = proj.getProjectName()\n projdict['description'] = proj.getProjectDescription()\n projdict['version'] = proj.getOCPVersion()\n\n # These fields are internal\n #projdict['dbname'] = proj._dbname\n #projdict['host'] = proj._dbhost\n #projdict['schemaversion'] = proj.getSchemaVersion()\n #projdict['kvengine'] = proj._kvengine\n #projdict['kvserver'] = proj._kvserver\n\n return projdict", "metadata": "root.projdict", "header": "['module', '___EOS___']", "index": 28 }, { "content": "def datasetdict ( dataset ):\n\n dsdict = {}\n dsdict['name'] = dataset.getDatasetName()\n dsdict['scalinglevels'] = dataset.scalinglevels\n if dataset.scalingoption == ZSLICES:\n dsdict['scaling'] = 'zslices'\n else:\n dsdict['scaling'] = 'xyz'\n dsdict['resolutions'] = dataset.resolutions\n dsdict['imagesize'] = dataset.imagesz\n dsdict['offset'] = dataset.offset\n dsdict['voxelres'] = dataset.voxelres\n dsdict['cube_dimension'] = dataset.cubedim\n # Stephan projinfo\n dsdict['neariso_scaledown'] = dataset.nearisoscaledown\n dsdict['neariso_offset'] = dataset.neariso_offset\n dsdict['neariso_voxelres'] = dataset.neariso_voxelres\n dsdict['neariso_imagesize'] = dataset.neariso_imagesz\n # Figure out neariso in new design\n dsdict['timerange'] = dataset.timerange\n dsdict['description'] = dataset.getDatasetDescription()\n\n return dsdict", "metadata": "root.datasetdict", "header": "['module', '___EOS___']", "index": 44 }, { "content": "def chandict ( channel ):\n chandict = {}\n chandict['channel_type'] = channel.getChannelType()\n chandict['datatype'] = channel.getDataType()\n chandict['exceptions'] = channel.getExceptions()\n chandict['readonly'] = channel.getReadOnly()\n chandict['resolution'] = channel.getResolution()\n chandict['propagate'] = channel.getPropagate()\n chandict['windowrange'] = channel.getWindowRange()\n chandict['description'] = channel.getChannelDescription()\n\n return chandict", "metadata": "root.chandict", "header": "['module', '___EOS___']", "index": 69 }, { "content": "def jsonInfo (proj):\n \"\"\"All Project Info\"\"\"\n\n jsonprojinfo = {}\n jsonprojinfo['dataset'] = datasetdict ( proj.datasetcfg )\n jsonprojinfo['project'] = projdict ( proj )\n jsonprojinfo['channels'] = {}\n for ch in proj.projectChannels():\n jsonprojinfo['channels'][ch.getChannelName()] = chandict ( ch ) \n \n jsonprojinfo['metadata'] = metadatadict( proj )\n return json.dumps ( jsonprojinfo, sort_keys=True, indent=4 )", "metadata": "root.jsonInfo", "header": "['module', '___EOS___']", "index": 82 }, { "content": "def xmlInfo (token, proj):\n \"\"\"All Project Info\"\"\"\n \n jsonprojinfo = {}\n jsonprojinfo['dataset'] = datasetdict ( proj.datasetcfg )\n jsonprojinfo['project'] = projdict ( proj )\n jsonprojinfo['channels'] = {}\n for ch in proj.projectChannels():\n jsonprojinfo['channels'][ch.getChannelName()] = chandict ( ch ) \n jsonprojinfo['metadata'] = metadatadict( proj )\n \n root = etree.Element('Volume', InputChecksum=\"\", host=\"http://openconnecto.me/ocptilecache/tilecache/viking/\", name=token, num_sections=str(jsonprojinfo['dataset']['imagesize'][0][2]), num_stos=\"0\", path=\"http://openconnecto.me/ocptilecache/tilecache/viking/\")\n etree.SubElement(root, 'Scale', UnitsOfMeasure=\"nm\", UnitsPerPixel=str(jsonprojinfo['dataset']['voxelres'][0][0]/jsonprojinfo['dataset']['voxelres'][0][1]))\n tileserver_element = etree.SubElement(root, 'OCPTileServer', CoordSpaceName=\"volume\", host=\"http://openconnecto.me/ocptilecache/tilecache/viking/\", FilePrefix=\"\", FilePostfix=\".png\", TileXDim=\"512\", TileYDim=\"512\", GridXdim=str(jsonprojinfo['dataset']['imagesize'][0][0]/512), GridYDim=str(jsonprojinfo['dataset']['imagesize'][0][1]/512), MaxLevel=str(jsonprojinfo['dataset'][\"resolutions\"][-1]))\n for channel_name in jsonprojinfo['channels'].keys():\n etree.SubElement(tileserver_element, \"Channel\", Name=channel_name, Path=channel_name, Datatype=jsonprojinfo['channels'][channel_name]['datatype'])\n for slice_number in range(jsonprojinfo['dataset']['offset'][0][2], jsonprojinfo['dataset']['offset'][0][2]+jsonprojinfo['dataset']['imagesize'][0][2]):\n etree.SubElement(root, \"Section\", Number=\"{}\".format(slice_number))\n \n return etree.tostring(root)", "metadata": "root.xmlInfo", "header": "['module', '___EOS___']", "index": 95 }, { "content": "def metadatadict( proj ):\n \"\"\"Metadata Info\"\"\"\n if settings.LIMS_SERVER_ENABLED:\n try:\n url = 'http://{}/metadata/ocp/get/{}/'.format(settings.LIMS_SERVER, proj.getProjectName())\n req = urllib2.Request(url)\n response = urllib2.urlopen(req, timeout=0.5)\n return json.loads(response.read())\n except urllib2.URLError, e:\n print \"Failed URL {}\".format(url)\n return {}\n else:\n return {}", "metadata": "root.metadatadict", "header": "['module', '___EOS___']", "index": 116 }, { "content": "def publicTokens ( projdb ):\n \"\"\"List of Public Tokens\"\"\"\n \n tokens = projdb.getPublic ()\n return json.dumps (tokens, sort_keys=True, indent=4)", "metadata": "root.publicTokens", "header": "['module', '___EOS___']", "index": 130 } ]

[ { "span": "import numpy as np", "start_line": 15, "start_column": 0, "end_line": 15, "end_column": 18 }, { "span": "import ocpcadb", "start_line": 21, "start_column": 0, "end_line": 21, "end_column": 14 } ]

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"req_", "=_", "urllib2_", "._", "Request_", "(_", "url_", ")_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "response_", "=_", "urllib2_", "._", "urlopen_", "(_", "req_", ",_", "timeout_", "=_", "0.5_", ")_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "return_", "json_", "._", "loads_", "(_", "response_", "._", "read_", "(_", ")_", ")_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uDEDENT\\u\\u\\u_", "except_", "urllib2_", "._", "URL", "Error_", ",_", "e_", ":_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uINDENT\\u\\u\\u ", " _", "print_", "\"", "Fail", "ed", " ", "URL", " ", "{}\"_", "._", "format_", "(_", "url_", ")_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "return_", "{_", "}_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uDEDENT\\u\\u\\u_", "\\u\\u\\uDEDENT\\u\\u\\u_", "else_", ":_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uINDENT\\u\\u\\u ", " _", "return_", "{_", "}_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "[SEP]_", "module_", "\\u\\u\\uEOS\\u\\u\\u_", "\\u\\u\\uNL\\u\\u\\u_", "\\u\\u\\uDEDENT\\u\\u\\u_", "\\u\\u\\uDEDENT\\u\\u\\u_", "def_", "public", "Tokens_", "(_", "proj", "db_", ")_", ":_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uINDENT\\u\\u\\u ", " _", "\"\"\"", "List", " ", "of", " ", "Public", " ", "Token", "s", "\"\"\"_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uNL\\u\\u\\u_", "tokens_", "=_", "proj", "db_", "._", "get", "Public", "_", "(_", ")_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "return_", "json_", "._", "dumps_", "(_", "tokens_", ",_", "sort", "\\u", "keys_", "=_", "True_", ",_", "indent_", "=_", "4_", ")_" ]

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2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 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[ { "content": "import time\nimport unittest\n\nfrom django.core.exceptions import ImproperlyConfigured\nfrom django.http import HttpResponse\nfrom django.test import TestCase, RequestFactory\nfrom django.utils import simplejson\nfrom django.views.generic import View, TemplateView, RedirectView\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class SimpleView(View):\n \"\"\"\n A simple view with a docstring.\n \"\"\"", "metadata": "root.SimpleView", "header": "['module', '___EOS___']", "index": 10 }, { "content": " def get(self, request):\n return HttpResponse('This is a simple view')", "metadata": "root.SimpleView.get", "header": "['class', 'SimpleView', '(', 'View', ')', ':', '___EOS___']", "index": 14 }, { "content": "class SimplePostView(SimpleView):\n post = SimpleView.get", "metadata": "root.SimplePostView", "header": "['module', '___EOS___']", "index": 18 }, { "content": "class CustomizableView(SimpleView):\n parameter = {}", "metadata": "root.CustomizableView", "header": "['module', '___EOS___']", "index": 22 }, { "content": "def decorator(view):\n view.is_decorated = True\n return view", "metadata": "root.decorator", "header": "['module', '___EOS___']", "index": 25 }, { "content": "class DecoratedDispatchView(SimpleView):\n", "metadata": "root.DecoratedDispatchView", "header": "['module', '___EOS___']", "index": 30 }, { "content": " @decorator\n def dispatch(self, request, *args, **kwargs):\n return super(DecoratedDispatchView, self).dispatch(request, *args, **kwargs)", "metadata": "root.DecoratedDispatchView.dispatch", "header": "['class', 'DecoratedDispatchView', '(', 'SimpleView', ')', ':', '___EOS___']", "index": 32 }, { "content": "class AboutTemplateView(TemplateView):\n", "metadata": "root.AboutTemplateView", "header": "['module', '___EOS___']", "index": 37 }, { "content": " def get(self, request):\n return self.render_to_response({})", "metadata": "root.AboutTemplateView.get", "header": "['class', 'AboutTemplateView', '(', 'TemplateView', ')', ':', '___EOS___']", "index": 38 }, { "content": " def get_template_names(self):\n return ['generic_views/about.html']", "metadata": "root.AboutTemplateView.get_template_names", "header": "['class', 'AboutTemplateView', '(', 'TemplateView', ')', ':', '___EOS___']", "index": 41 }, { "content": "class AboutTemplateAttributeView(TemplateView):\n template_name = 'generic_views/about.html'\n", "metadata": "root.AboutTemplateAttributeView", "header": "['module', '___EOS___']", "index": 45 }, { "content": " def get(self, request):\n return self.render_to_response(context={})", "metadata": "root.AboutTemplateAttributeView.get", "header": "['class', 'AboutTemplateAttributeView', '(', 'TemplateView', ')', ':', '___EOS___']", "index": 48 }, { "content": "class InstanceView(View):\n", "metadata": "root.InstanceView", "header": "['module', '___EOS___']", "index": 52 }, { "content": " def get(self, request):\n return self", "metadata": "root.InstanceView.get", "header": "['class', 'InstanceView', '(', 'View', ')', ':', '___EOS___']", "index": 54 }, { "content": "class ViewTest(unittest.TestCase):\n rf = RequestFactory()\n\n\n\n\n\n\n\n\n\n", "metadata": "root.ViewTest", "header": "['module', '___EOS___']", "index": 58 }, { "content": " def _assert_simple(self, response):\n self.assertEqual(response.status_code, 200)\n self.assertEqual(response.content, 'This is a simple view')", "metadata": "root.ViewTest._assert_simple", "header": "['class', 'ViewTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 61 }, { "content": " def test_no_init_kwargs(self):\n \"\"\"\n Test that a view can't be accidentally instantiated before deployment\n \"\"\"\n try:\n view = SimpleView(key='value').as_view()\n self.fail('Should not be able to instantiate a view')\n except AttributeError:\n pass", "metadata": "root.ViewTest.test_no_init_kwargs", "header": "['class', 'ViewTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 65 }, { "content": " def test_no_init_args(self):\n \"\"\"\n Test that a view can't be accidentally instantiated before deployment\n \"\"\"\n try:\n view = SimpleView.as_view('value')\n self.fail('Should not be able to use non-keyword arguments instantiating a view')\n except TypeError:\n pass", "metadata": "root.ViewTest.test_no_init_args", "header": "['class', 'ViewTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 75 }, { "content": " def test_pathological_http_method(self):\n \"\"\"\n The edge case of a http request that spoofs an existing method name is caught.\n \"\"\"\n self.assertEqual(SimpleView.as_view()(\n self.rf.get('/', REQUEST_METHOD='DISPATCH')\n ).status_code, 405)", "metadata": "root.ViewTest.test_pathological_http_method", "header": "['class', 'ViewTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 85 }, { "content": " def test_get_only(self):\n \"\"\"\n Test a view which only allows GET doesn't allow other methods.\n \"\"\"\n self._assert_simple(SimpleView.as_view()(self.rf.get('/')))\n self.assertEqual(SimpleView.as_view()(self.rf.post('/')).status_code, 405)\n self.assertEqual(SimpleView.as_view()(\n self.rf.get('/', REQUEST_METHOD='FAKE')\n ).status_code, 405)", "metadata": "root.ViewTest.test_get_only", "header": "['class', 'ViewTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 93 }, { "content": " def test_get_and_post(self):\n \"\"\"\n Test a view which only allows both GET and POST.\n \"\"\"\n self._assert_simple(SimplePostView.as_view()(self.rf.get('/')))\n self._assert_simple(SimplePostView.as_view()(self.rf.post('/')))\n self.assertEqual(SimplePostView.as_view()(\n self.rf.get('/', REQUEST_METHOD='FAKE')\n ).status_code, 405)", "metadata": "root.ViewTest.test_get_and_post", "header": "['class', 'ViewTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 103 }, { "content": " def test_invalid_keyword_argument(self):\n \"\"\"\n Test that view arguments must be predefined on the class and can't\n be named like a HTTP method.\n \"\"\"\n # Check each of the allowed method names\n for method in SimpleView.http_method_names:\n kwargs = dict(((method, \"value\"),))\n self.assertRaises(TypeError, SimpleView.as_view, **kwargs)\n\n # Check the case view argument is ok if predefined on the class...\n CustomizableView.as_view(parameter=\"value\")\n # ...but raises errors otherwise.\n self.assertRaises(TypeError, CustomizableView.as_view, foobar=\"value\")", "metadata": "root.ViewTest.test_invalid_keyword_argument", "header": "['class', 'ViewTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 113 }, { "content": " def test_calling_more_than_once(self):\n \"\"\"\n Test a view can only be called once.\n \"\"\"\n request = self.rf.get('/')\n view = InstanceView.as_view()\n self.assertNotEqual(view(request), view(request))", "metadata": "root.ViewTest.test_calling_more_than_once", "header": "['class', 'ViewTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 128 }, { "content": " def test_class_attributes(self):\n \"\"\"\n Test that the callable returned from as_view() has proper\n docstring, name and module.\n \"\"\"\n self.assertEqual(SimpleView.__doc__, SimpleView.as_view().__doc__)\n self.assertEqual(SimpleView.__name__, SimpleView.as_view().__name__)\n self.assertEqual(SimpleView.__module__, SimpleView.as_view().__module__)", "metadata": "root.ViewTest.test_class_attributes", "header": "['class', 'ViewTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 136 }, { "content": " def test_dispatch_decoration(self):\n \"\"\"\n Test that attributes set by decorators on the dispatch method\n are also present on the closure.\n \"\"\"\n self.assertTrue(DecoratedDispatchView.as_view().is_decorated)", "metadata": "root.ViewTest.test_dispatch_decoration", "header": "['class', 'ViewTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 145 }, { "content": "class TemplateViewTest(TestCase):\n urls = 'regressiontests.generic_views.urls'\n\n rf = RequestFactory()\n\n\n\n\n\n\n\n", "metadata": "root.TemplateViewTest", "header": "['module', '___EOS___']", "index": 153 }, { "content": " def _assert_about(self, response):\n response.render()\n self.assertEqual(response.status_code, 200)\n self.assertContains(response, '<h1>About</h1>')", "metadata": "root.TemplateViewTest._assert_about", "header": "['class', 'TemplateViewTest', '(', 'TestCase', ')', ':', '___EOS___']", "index": 158 }, { "content": " def test_get(self):\n \"\"\"\n Test a view that simply renders a template on GET\n \"\"\"\n self._assert_about(AboutTemplateView.as_view()(self.rf.get('/about/')))", "metadata": "root.TemplateViewTest.test_get", "header": "['class', 'TemplateViewTest', '(', 'TestCase', ')', ':', '___EOS___']", "index": 163 }, { "content": " def test_get_template_attribute(self):\n \"\"\"\n Test a view that renders a template on GET with the template name as\n an attribute on the class.\n \"\"\"\n self._assert_about(AboutTemplateAttributeView.as_view()(self.rf.get('/about/')))", "metadata": "root.TemplateViewTest.test_get_template_attribute", "header": "['class', 'TemplateViewTest', '(', 'TestCase', ')', ':', '___EOS___']", "index": 169 }, { "content": " def test_get_generic_template(self):\n \"\"\"\n Test a completely generic view that renders a template on GET\n with the template name as an argument at instantiation.\n \"\"\"\n self._assert_about(TemplateView.as_view(template_name='generic_views/about.html')(self.rf.get('/about/')))", "metadata": "root.TemplateViewTest.test_get_generic_template", "header": "['class', 'TemplateViewTest', '(', 'TestCase', ')', ':', '___EOS___']", "index": 176 }, { "content": " def test_template_name_required(self):\n \"\"\"\n A template view must provide a template name\n \"\"\"\n self.assertRaises(ImproperlyConfigured, self.client.get, '/template/no_template/')", "metadata": "root.TemplateViewTest.test_template_name_required", "header": "['class', 'TemplateViewTest', '(', 'TestCase', ')', ':', '___EOS___']", "index": 183 }, { "content": " def test_template_params(self):\n \"\"\"\n A generic template view passes kwargs as context.\n \"\"\"\n response = self.client.get('/template/simple/bar/')\n self.assertEqual(response.status_code, 200)\n self.assertEqual(response.context['params'], {'foo': 'bar'})", "metadata": "root.TemplateViewTest.test_template_params", "header": "['class', 'TemplateViewTest', '(', 'TestCase', ')', ':', '___EOS___']", "index": 189 }, { "content": " def test_extra_template_params(self):\n \"\"\"\n A template view can be customized to return extra context.\n \"\"\"\n response = self.client.get('/template/custom/bar/')\n self.assertEqual(response.status_code, 200)\n self.assertEqual(response.context['params'], {'foo': 'bar'})\n self.assertEqual(response.context['key'], 'value')", "metadata": "root.TemplateViewTest.test_extra_template_params", "header": "['class', 'TemplateViewTest', '(', 'TestCase', ')', ':', '___EOS___']", "index": 197 }, { "content": " def test_cached_views(self):\n \"\"\"\n A template view can be cached\n \"\"\"\n response = self.client.get('/template/cached/bar/')\n self.assertEqual(response.status_code, 200)\n\n time.sleep(1.0)\n\n response2 = self.client.get('/template/cached/bar/')\n self.assertEqual(response2.status_code, 200)\n\n self.assertEqual(response.content, response2.content)\n\n time.sleep(2.0)\n\n # Let the cache expire and test again\n response2 = self.client.get('/template/cached/bar/')\n self.assertEqual(response2.status_code, 200)\n\n self.assertNotEqual(response.content, response2.content)", "metadata": "root.TemplateViewTest.test_cached_views", "header": "['class', 'TemplateViewTest', '(', 'TestCase', ')', ':', '___EOS___']", "index": 206 }, { "content": "class RedirectViewTest(unittest.TestCase):\n rf = RequestFactory()\n\n\n\n\n\n\n\n\n\n", "metadata": "root.RedirectViewTest", "header": "['module', '___EOS___']", "index": 228 }, { "content": " def test_no_url(self):\n \"Without any configuration, returns HTTP 410 GONE\"\n response = RedirectView.as_view()(self.rf.get('/foo/'))\n self.assertEqual(response.status_code, 410)", "metadata": "root.RedirectViewTest.test_no_url", "header": "['class', 'RedirectViewTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 231 }, { "content": " def test_permanaent_redirect(self):\n \"Default is a permanent redirect\"\n response = RedirectView.as_view(url='/bar/')(self.rf.get('/foo/'))\n self.assertEqual(response.status_code, 301)\n self.assertEqual(response['Location'], '/bar/')", "metadata": "root.RedirectViewTest.test_permanaent_redirect", "header": "['class', 'RedirectViewTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 236 }, { "content": " def test_temporary_redirect(self):\n \"Permanent redirects are an option\"\n response = RedirectView.as_view(url='/bar/', permanent=False)(self.rf.get('/foo/'))\n self.assertEqual(response.status_code, 302)\n self.assertEqual(response['Location'], '/bar/')", "metadata": "root.RedirectViewTest.test_temporary_redirect", "header": "['class', 'RedirectViewTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 242 }, { "content": " def test_include_args(self):\n \"GET arguments can be included in the redirected URL\"\n response = RedirectView.as_view(url='/bar/')(self.rf.get('/foo/'))\n self.assertEqual(response.status_code, 301)\n self.assertEqual(response['Location'], '/bar/')\n\n response = RedirectView.as_view(url='/bar/', query_string=True)(self.rf.get('/foo/?pork=spam'))\n self.assertEqual(response.status_code, 301)\n self.assertEqual(response['Location'], '/bar/?pork=spam')", "metadata": "root.RedirectViewTest.test_include_args", "header": "['class', 'RedirectViewTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 248 }, { "content": " def test_parameter_substitution(self):\n \"Redirection URLs can be parameterized\"\n response = RedirectView.as_view(url='/bar/%(object_id)d/')(self.rf.get('/foo/42/'), object_id=42)\n self.assertEqual(response.status_code, 301)\n self.assertEqual(response['Location'], '/bar/42/')", "metadata": "root.RedirectViewTest.test_parameter_substitution", "header": "['class', 'RedirectViewTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 258 }, { "content": " def test_redirect_POST(self):\n \"Default is a permanent redirect\"\n response = RedirectView.as_view(url='/bar/')(self.rf.post('/foo/'))\n self.assertEqual(response.status_code, 301)\n self.assertEqual(response['Location'], '/bar/')", "metadata": "root.RedirectViewTest.test_redirect_POST", "header": "['class', 'RedirectViewTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 264 }, { "content": " def test_redirect_HEAD(self):\n \"Default is a permanent redirect\"\n response = RedirectView.as_view(url='/bar/')(self.rf.head('/foo/'))\n self.assertEqual(response.status_code, 301)\n self.assertEqual(response['Location'], '/bar/')", "metadata": "root.RedirectViewTest.test_redirect_HEAD", "header": "['class', 'RedirectViewTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 270 }, { "content": " def test_redirect_OPTIONS(self):\n \"Default is a permanent redirect\"\n response = RedirectView.as_view(url='/bar/')(self.rf.options('/foo/'))\n self.assertEqual(response.status_code, 301)\n self.assertEqual(response['Location'], '/bar/')", "metadata": "root.RedirectViewTest.test_redirect_OPTIONS", "header": "['class', 'RedirectViewTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 276 }, { "content": " def test_redirect_PUT(self):\n \"Default is a permanent redirect\"\n response = RedirectView.as_view(url='/bar/')(self.rf.put('/foo/'))\n self.assertEqual(response.status_code, 301)\n self.assertEqual(response['Location'], '/bar/')", "metadata": "root.RedirectViewTest.test_redirect_PUT", "header": "['class', 'RedirectViewTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 282 }, { "content": " def test_redirect_DELETE(self):\n \"Default is a permanent redirect\"\n response = RedirectView.as_view(url='/bar/')(self.rf.delete('/foo/'))\n self.assertEqual(response.status_code, 301)\n self.assertEqual(response['Location'], '/bar/')", "metadata": "root.RedirectViewTest.test_redirect_DELETE", "header": "['class', 'RedirectViewTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 288 } ]

[ { "span": "from django.utils import simplejson", "start_line": 6, "start_column": 0, "end_line": 6, "end_column": 35 } ]

[]

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[ { "content": "@conf\ndef check_python_version(conf, minver=None):\n\t\"\"\"\n\tCheck if the python interpreter is found matching a given minimum version.\n\tminver should be a tuple, eg. to check for python >= 2.4.2 pass (2,4,2) as minver.\n\n\tIf successful, PYTHON_VERSION is defined as 'MAJOR.MINOR'\n\t(eg. '2.4') of the actual python version found, and PYTHONDIR is\n\tdefined, pointing to the site-packages directory appropriate for\n\tthis python version, where modules/packages/extensions should be\n\tinstalled.\n\t\"\"\"\n\tassert minver is None or isinstance(minver, tuple)\n\tpython = conf.env['PYTHON']\n\tif not python:\n\t\tconf.fatal('could not find the python executable')\n\n\t# Get python version string\n\tcmd = [python, \"-c\", \"import sys\\nfor x in sys.version_info: print(str(x))\"]\n\tdebug('python: Running python command %r' % cmd)\n\tproc = Utils.pproc.Popen(cmd, stdout=Utils.pproc.PIPE)\n\tlines = proc.communicate()[0].split()\n\tassert len(lines) == 5, \"found %i lines, expected 5: %r\" % (len(lines), lines)\n\tpyver_tuple = (int(lines[0]), int(lines[1]), int(lines[2]), lines[3], int(lines[4]))\n\n\t# compare python version with the minimum required\n\tresult = (minver is None) or (pyver_tuple >= minver)\n\n\tif result:\n\t\t# define useful environment variables\n\t\tpyver = '.'.join([str(x) for x in pyver_tuple[:2]])\n\t\tconf.env['PYTHON_VERSION'] = pyver\n\n\t\tif 'PYTHONDIR' in conf.environ:\n\t\t\tpydir = conf.environ['PYTHONDIR']\n\t\telse:\n\t\t\tif sys.platform == 'win32':\n\t\t\t\t(python_LIBDEST, pydir) = \\\n\t\t\t\t\t\t_get_python_variables(python,\n\t\t\t\t\t\t\t\t\t\t\t [\"get_config_var('LIBDEST')\",\n\t\t\t\t\t\t\t\t\t\t\t \"get_python_lib(standard_lib=0, prefix=%r)\" % conf.env['PREFIX']],\n\t\t\t\t\t\t\t\t\t\t\t ['from distutils.sysconfig import get_config_var, get_python_lib'])\n\t\t\telse:\n\t\t\t\tpython_LIBDEST = None\n\t\t\t\t(pydir,) = \\\n\t\t\t\t\t\t_get_python_variables(python,\n\t\t\t\t\t\t\t\t\t\t\t [\"get_python_lib(standard_lib=0, prefix=%r)\" % conf.env['PREFIX']],\n\t\t\t\t\t\t\t\t\t\t\t ['from distutils.sysconfig import get_config_var, get_python_lib'])\n\t\t\tif python_LIBDEST is None:\n\t\t\t\tif conf.env['LIBDIR']:\n\t\t\t\t\tpython_LIBDEST = os.path.join(conf.env['LIBDIR'], \"python\" + pyver)\n\t\t\t\telse:\n\t\t\t\t\tpython_LIBDEST = os.path.join(conf.env['PREFIX'], \"lib\", \"python\" + pyver)\n\n\t\tif hasattr(conf, 'define'): # conf.define is added by the C tool, so may not exist\n\t\t\tconf.define('PYTHONDIR', pydir)\n\t\tconf.env['PYTHONDIR'] = pydir\n\n\t# Feedback\n\tpyver_full = '.'.join(map(str, pyver_tuple[:3]))\n\tif minver is None:\n\t\tconf.check_message_custom('Python version', '', pyver_full)\n\telse:\n\t\tminver_str = '.'.join(map(str, minver))\n\t\tconf.check_message('Python version', \">= %s\" % minver_str, result, option=pyver_full)\n\n\tif not result:\n\t\tconf.fatal('The python version is too old (%r)' % pyver_full)", "metadata": "root.check_python_version", "header": "['module', '___EOS___']", "index": 291 } ]

[ { "span": "python_LIBDEST ", "start_line": 341, "start_column": 5, "end_line": 341, "end_column": 19 }, { "span": "python_LIBDEST ", "start_line": 343, "start_column": 5, "end_line": 343, "end_column": 19 } ]

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[ { "content": " @method_decorator(httpdigest)\n @method_decorator(login_or_digest)\n def get(self, *args, **kwargs):\n \"\"\"\n Download prior progress note submissions for local access\n \"\"\"\n db = XFormInstance.get_db()\n couch_user = CouchUser.from_django_user(self.request.user)\n username = couch_user.raw_username\n if hasattr(localsettings, 'debug_pact_user'):\n username = getattr(localsettings, 'debug_pact_user')(username)\n\n offset =0\n limit_count=200\n total_count = 0\n\n query = {\n \"query\": {\n \"filtered\": {\n \"filter\": {\n \"and\": [\n {\"term\": {\"domain.exact\": \"pact\"}},\n {\"term\": {\"form.#type\": \"progress_note\"}},\n {\"term\": {\"form.meta.username\": username}}\n ]\n },\n \"query\": {\"match_all\": {}}\n }\n },\n \"sort\": {\"received_on\": \"asc\"},\n \"size\": limit_count,\n \"fields\": ['_id']\n }\n query['script_fields'] = {}\n query['script_fields'].update(pact_script_fields())\n query['script_fields'].update(case_script_field())\n\n res = self.xform_es.run_query(query)\n\n\n my_patients_ever_submitted_query = query_per_case_submissions_facet(PACT_DOMAIN, username)\n patients_res = self.xform_es.run_query(my_patients_ever_submitted_query)\n\n #filter by active/discharged?\n #get all the forms\n #get all the patients\n #get all patients to determine which to filter.\n\n active_patients = []\n for pt in []:\n #if pt.hp_status == \"Discharged\":\n #continue\n case_id = pt['script_case_id']\n active_patients.append(case_id)\n\n def return_iterator():\n yield \"<restoredata>\"\n for result in res['hits']['hits']:\n data_row = result['fields']\n\n# if data_row['script_case_id'] not in active_patients:\n# continue\n try:\n xml_str = db.fetch_attachment(data_row['_id'], 'form.xml').replace(\"<?xml version=\\'1.0\\' ?>\", '').replace(\"<?xml version='1.0' encoding='UTF-8' ?>\", '')\n yield xml_str\n except Exception, ex:\n logging.error(\"for downloader: error fetching attachment: %s\" % ex)\n yield \"</restoredata>\"\n\n response = HttpResponse(return_iterator(), content_type='text/xml')\n return response", "metadata": "root.PactFormAPI.get", "header": "['class', 'PactFormAPI', '(', 'DomainAPI', ')', ':', '___EOS___']", "index": 89 } ]

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[ { "content": " @staticmethod\n def evaluate(inshp, kshp, strides=(1, 1), nkern=1, mode='valid', ws=True):\n \"\"\"Build a sparse matrix which can be used for performing...\n * convolution: in this case, the dot product of this matrix\n with the input images will generate a stack of images\n patches. Convolution is then a tensordot operation of the\n filters and the patch stack.\n * sparse local connections: in this case, the sparse matrix\n allows us to operate the weight matrix as if it were\n fully-connected. The structured-dot with the input image gives\n the output for the following layer.\n\n :param ker_shape: shape of kernel to apply (smaller than image)\n :param img_shape: shape of input images\n :param mode: 'valid' generates output only when kernel and\n image overlap overlap fully. Convolution obtained\n by zero-padding the input\n :param ws: True if weight sharing, false otherwise\n :param (dx,dy): offset parameter. In the case of no weight sharing,\n gives the pixel offset between two receptive fields.\n With weight sharing gives the offset between the\n top-left pixels of the generated patches\n\n :rtype: tuple(indices, indptr, logical_shape, sp_type, out_img_shp)\n :returns: the structure of a sparse matrix, and the logical dimensions\n of the image which will be the result of filtering.\n \"\"\"\n (dx, dy) = strides\n N = numpy\n\n # inshp contains either 2 entries (height,width) or 3 (nfeatures,h,w)\n # in the first case, default nfeatures to 1\n if N.size(inshp) == 2:\n inshp = (1,) + inshp\n\n inshp = N.array(inshp)\n kshp = N.array(kshp)\n ksize = N.prod(kshp)\n\n kern = ksize - 1 - N.arange(ksize)\n\n # size of output image if doing proper convolution\n # (mode='full',dx=dy=0) outshp is the actual output shape\n # given the parameters\n fulloutshp = inshp[1:] + kshp - 1\n if mode == 'valid':\n s = -1\n else:\n s = 1\n outshp = N.int64(N.ceil((inshp[1:] + s * kshp - s * 1) \\\n / N.array([dy, dx], dtype='float')))\n if any(outshp <= 0):\n err = 'Invalid kernel', kshp, 'and/or step size', (dx, dy),\\\n 'for given input shape', inshp\n raise ValueError(err)\n\n outsize = N.prod(outshp)\n insize = N.prod(inshp)\n\n # range of output units over which to iterate\n if mode == 'valid':\n lbound = N.array([kshp[0] - 1, kshp[1] - 1])\n ubound = lbound + (inshp[1:] - kshp + 1)\n else:\n lbound = N.zeros(2)\n ubound = fulloutshp\n\n # coordinates of image in \"fulloutshp\" coordinates\n topleft = N.array([kshp[0] - 1, kshp[1] - 1])\n # bound when counting the receptive field\n botright = topleft + inshp[1:]\n\n # sparse matrix specifics...\n if ws:\n spmatshp = (outsize * N.prod(kshp) * inshp[0], insize)\n else:\n spmatshp = (nkern * outsize, insize)\n spmat = scipy_sparse.lil_matrix(spmatshp)\n\n # loop over output image pixels\n z, zz = 0, 0\n\n # incremented every time we write something to the sparse\n # matrix this is used to track the ordering of filter tap\n # coefficient in sparse column ordering\n tapi, ntaps = 0, 0\n\n # Note: looping over the number of kernels could've been done\n # more efficiently as the last step (when writing to\n # spmat). However, this messes up the ordering of the column\n # values (order in which you write the values determines how\n # the vectorized data will get used later one)\n\n for fmapi in xrange(inshp[0]): # loop over input features\n # loop over number of kernels (nkern=1 for weight sharing)\n for n in xrange(nkern):\n\n # FOR EACH OUTPUT PIXEL...\n # loop over output image height\n for oy in N.arange(lbound[0], ubound[0], dy):\n # loop over output image width\n for ox in N.arange(lbound[1], ubound[1], dx):\n\n # kern[l] is filter value to apply at (oj,oi)\n # for (iy,ix)\n l = 0\n\n # ... ITERATE OVER INPUT UNITS IN RECEPTIVE FIELD\n for ky in oy + N.arange(kshp[0]):\n for kx in ox + N.arange(kshp[1]):\n\n # verify if we are still within image\n # boundaries. Equivalent to\n # zero-padding of the input image\n if (all((ky, kx) >= topleft) and\n all((ky, kx) < botright)):\n\n # convert to \"valid\" input space\n # coords used to determine column\n # index to write to in sparse mat\n iy, ix = N.array((ky, kx)) - topleft\n # determine raster-index of input pixel...\n\n # taking into account multiple\n # input features\n col = iy * inshp[2] + ix + \\\n fmapi * N.prod(inshp[1:])\n\n # convert oy,ox values to output\n # space coordinates\n if mode == 'full':\n (y, x) = (oy, ox)\n else:\n (y, x) = (oy, ox) - topleft\n # taking into account step size\n (y, x) = N.array([y, x]) / (dy, dx)\n\n # convert to row index of sparse matrix\n if ws:\n row = ((y * outshp[1] + x) *\n inshp[0] * ksize + l + fmapi *\n ksize)\n else:\n row = y * outshp[1] + x\n\n # Store something at that location\n # in sparse matrix. The written\n # value is only useful for the\n # sparse case. It will determine\n # the way kernel taps are mapped\n # onto the sparse columns (idea of\n # kernel map)\n # n*... only for sparse\n spmat[row + n * outsize, col] = tapi + 1\n\n # total number of active taps\n # (used for kmap)\n ntaps += 1\n\n # absolute tap index (total number of taps)\n tapi += 1\n # move on to next filter tap l=(l+1)%ksize\n l += 1\n\n if spmat.format != 'csc':\n spmat = spmat.tocsc().sorted_indices()\n else:\n # BUG ALERT: scipy0.6 has bug where data and indices are written in\n # reverse column ordering.\n # Explicit call to sorted_indices removes this problem.\n spmat = spmat.sorted_indices()\n\n if ws:\n kmap = None\n else:\n kmap = N.zeros(ntaps, dtype='int')\n k = 0\n # print 'TEMPORARY BUGFIX: REMOVE !!!'\n for j in xrange(spmat.shape[1]):\n for i_idx in xrange(spmat.indptr[j], spmat.indptr[j + 1]):\n if spmat.data[i_idx] != 0:\n # this is == spmat[i,j] - 1\n kmap[k] = spmat.data[i_idx] - 1\n k += 1\n\n # when in valid mode, it is more efficient to store in sparse row\n # TODO: need to implement structured dot for csr matrix\n assert spmat.format == 'csc'\n sptype = 'csc'\n #sptype = 'csr' if mode=='valid' else 'csc'\n if 0 and mode == 'valid':\n spmat = spmat.tocsr()\n\n rval = (spmat.indices[:spmat.size],\n spmat.indptr, spmatshp, sptype, outshp)\n if kmap is not None:\n rval += (kmap,)\n\n return rval", "metadata": "root.ConvolutionIndices.evaluate", "header": "['class', 'ConvolutionIndices', '(', 'Op', ')', ':', '___EOS___']", "index": 58 } ]

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[ { "content": " def test_private_project(self):\n cache_id = 'qwerty'\n cached_image = 'kozmic-cache/{}'.format(cache_id)\n\n try:\n for image_data in docker.images(cached_image):\n for repo_tag in image_data['RepoTags']:\n if repo_tag.startswith(cached_image):\n docker.remove_image(image_data['Id'])\n break\n except:\n pass\n assert not docker.images(cached_image)\n\n build = factories.BuildFactory.create(\n project=self.project,\n gh_commit_sha=self.prev_head_sha)\n hook_call = factories.HookCallFactory.create(\n hook=self.hook,\n build=build)\n\n job = self._do_job(hook_call)\n assert job.return_code == 0\n assert job.stdout == (\n 'Pulling \"{}\" Docker image...\\n'\n 'installed!\\nit works\\nYEAH\\n'.format(self.hook.docker_image))\n assert docker.images(cached_image)\n\n build = factories.BuildFactory.create(\n project=self.project,\n gh_commit_sha=self.head_sha)\n hook_call = factories.HookCallFactory.create(\n hook=self.hook,\n build=build)\n\n job = self._do_job(hook_call)\n assert job.return_code == 0\n assert job.stdout == (\n 'Pulling \"{}\" Docker image...\\n'\n 'Skipping install script as tracked files did not change...\\n'\n 'it works\\n'\n 'YEAH\\n'.format(self.hook.docker_image))", "metadata": "root.TestDoJob.test_private_project", "header": "['class', 'TestDoJob', '(', 'TestCase', ')', ':', '___EOS___']", "index": 61 } ]

[ { "span": "except:", "start_line": 71, "start_column": 8, "end_line": 71, "end_column": 15 } ]

[]

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[ { "content": "\"\"\"\n Copyright 2010 Daniel Graziotin <daniel.graziotin@acm.org>\n\n Licensed under the Apache License, Version 2.0 (the \"License\");\n you may not use this file except in compliance with the License.\n You may obtain a copy of the License at\n\n http://www.apache.org/licenses/LICENSE-2.0\n\n Unless required by applicable law or agreed to in writing, software\n distributed under the License is distributed on an \"AS IS\" BASIS,\n WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n See the License for the specific language governing permissions and\n limitations under the License.\n\"\"\"\nimport classes\nimport utils\nimport copy\nimport settings\nimport response_codes\nimport py\n \n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class TestMultipleMatching():\n\n\n\n\n \n\n\n\n\n\n\n \n \n\n\n\n\n\n\n\n \n \n \n\n\n \n\n\n\n\n\n", "metadata": "root.TestMultipleMatching", "header": "['module', '___EOS___']", "index": 21 }, { "content": " def setup_class(self):\n self.driver = classes.Driver(settings.DRIVER_USERNAME,settings.DRIVER_PASSWORD,settings.DYCAPO_URL)\n\n self.rider1 = classes.Rider(\"rob\",settings.RIDER_PASSWORD,settings.DYCAPO_URL)\n self.rider2 = classes.Rider(\"dio\",settings.RIDER_PASSWORD,settings.DYCAPO_URL)\n self.rider3 = classes.Rider(\"angela\",settings.RIDER_PASSWORD,settings.DYCAPO_URL)\n self.rider4 = classes.Rider(\"ozzy\",settings.RIDER_PASSWORD,settings.DYCAPO_URL)\n self.riders = [self.rider1, self.rider2, self.rider3, self.rider4]\n self.rider5 = classes.Rider(settings.RIDER_USERNAME,settings.RIDER_PASSWORD,settings.DYCAPO_URL)\n self.rider6 = classes.Rider(\"bruce\",settings.RIDER_PASSWORD,settings.DYCAPO_URL)\n\n self.driver_position = '46.490200 11.342294'\n self.driver_destination = '46.500740 11.345073'\n self.rider_position = '46.494957 11.340239'\n self.rider_destination = '46.500891 11.344306'", "metadata": "root.TestMultipleMatching.setup_class", "header": "['class', 'TestMultipleMatching', '(', ')', ':', '___EOS___']", "index": 22 }, { "content": " def teardown_class(self):\n if settings.FINISH_TRIP_AFTER_TESTS:\n self.driver.finish_trip(self.driver.trip)", "metadata": "root.TestMultipleMatching.teardown_class", "header": "['class', 'TestMultipleMatching', '(', ')', ':', '___EOS___']", "index": 38 }, { "content": " def setup_method(self,method):\n self.driver.location = classes.Location(georss_point=self.driver_position)\n self.driver.destination = classes.Location(georss_point=self.driver_destination,point='dest')\n self.rider5.location = classes.Location(georss_point=self.rider_position)\n self.rider5.destination = classes.Location(georss_point=self.rider_destination,point='dest')\n self.rider6.location = classes.Location(georss_point=self.rider_position)\n self.rider6.destination = classes.Location(georss_point=self.rider_destination,point='dest')\n\n for rider in self.riders:\n rider.location = classes.Location(georss_point=self.rider_position)\n rider.destination = classes.Location(georss_point=self.rider_destination,point='dest')", "metadata": "root.TestMultipleMatching.setup_method", "header": "['class', 'TestMultipleMatching', '(', ')', ':', '___EOS___']", "index": 43 }, { "content": " def test_position(self):\n response = self.driver.update_position()\n assert response['code'] == response_codes.CREATED or response['code'] == response_codes.ALL_OK\n response = self.driver.get_position()\n assert response['value']['georss_point'] == self.driver.location.georss_point\n self.driver.location = response['value']\n\n response = self.rider5.update_position()\n assert response['code'] == response_codes.CREATED or response['code'] == response_codes.ALL_OK\n response = self.rider5.get_position()\n assert response['value']['georss_point'] == self.rider5.location.georss_point\n self.rider5.location = response['value']\n\n\n response = self.rider6.update_position(location=self.rider6.location)\n assert response['code'] == response_codes.CREATED or response['code'] == response_codes.ALL_OK\n response = self.rider6.get_position()\n assert response['value']['georss_point'] == self.rider6.location.georss_point\n self.rider6.location = response['value']\n\n\n for rider in self.riders:\n response = rider.update_position()\n assert response['code'] == response_codes.CREATED or response['code'] == response_codes.ALL_OK\n response = rider.get_position()\n assert response['value']['georss_point'] == rider.location.georss_point\n rider.location = response['value']", "metadata": "root.TestMultipleMatching.test_position", "header": "['class', 'TestMultipleMatching', '(', ')', ':', '___EOS___']", "index": 55 }, { "content": " def test_insert_trip_exp(self):\n response = self.driver.insert_trip_exp()\n assert response['value']['id'] > 0\n assert [location for location in response['value']['locations'] if location['point']=='dest'][0]['georss_point'] == self.driver_destination\n assert response['code']==response_codes.ALL_OK\n self.driver.trip = response['value']", "metadata": "root.TestMultipleMatching.test_insert_trip_exp", "header": "['class', 'TestMultipleMatching', '(', ')', ':', '___EOS___']", "index": 83 }, { "content": " def test_search_trip_before_start(self):\n for rider in self.riders:\n response = rider.search_ride(rider.location,rider.destination)\n assert response['code'] == response_codes.ALL_OK\n with py.test.raises(KeyError):\n assert response['trips'] == True", "metadata": "root.TestMultipleMatching.test_search_trip_before_start", "header": "['class', 'TestMultipleMatching', '(', ')', ':', '___EOS___']", "index": 90 }, { "content": " def test_start_trip(self):\n response = self.driver.start_trip()\n assert response['code'] == response_codes.ALL_OK", "metadata": "root.TestMultipleMatching.test_start_trip", "header": "['class', 'TestMultipleMatching', '(', ')', ':', '___EOS___']", "index": 97 }, { "content": " def test_search_trip_after_start(self):\n for rider in self.riders:\n response = rider.search_ride(rider.location,rider.destination)\n assert response['code'] == response_codes.ALL_OK\n rider.trip = response['value']['trips'][0]", "metadata": "root.TestMultipleMatching.test_search_trip_after_start", "header": "['class', 'TestMultipleMatching', '(', ')', ':', '___EOS___']", "index": 102 }, { "content": " def test_search_trip_driver_closest_to_destination(self):\n driver_position = '46.500730 11.345070'\n self.driver.location = classes.Location(georss_point=driver_position,point='posi')\n self.driver.update_position()\n\n response = self.rider1.search_ride(self.rider1.location,self.rider1.destination)\n assert response['code'] == response_codes.ALL_OK\n with py.test.raises(KeyError):\n assert response['trips'] == True\n self.driver.location = classes.Location(georss_point=self.driver_position)\n self.driver.update_position()", "metadata": "root.TestMultipleMatching.test_search_trip_driver_closest_to_destination", "header": "['class', 'TestMultipleMatching', '(', ')', ':', '___EOS___']", "index": 108 }, { "content": " def test_check_ride_requests_before_request(self):\n response = self.driver.check_ride_requests()\n assert len(response['value']) == 0", "metadata": "root.TestMultipleMatching.test_check_ride_requests_before_request", "header": "['class', 'TestMultipleMatching', '(', ')', ':', '___EOS___']", "index": 120 }, { "content": " def test_get_position_before_request(self):\n for rider in self.riders:\n response = self.driver.get_position(person=rider)\n print rider.username\n assert response['code'] == response_codes.FORBIDDEN", "metadata": "root.TestMultipleMatching.test_get_position_before_request", "header": "['class', 'TestMultipleMatching', '(', ')', ':', '___EOS___']", "index": 124 }, { "content": " def test_request_ride(self):\n for rider in self.riders:\n response = rider.request_ride(trip=rider.trip)\n assert response['code'] == response_codes.CREATED or response['code'] == response_codes.ALL_OK", "metadata": "root.TestMultipleMatching.test_request_ride", "header": "['class', 'TestMultipleMatching', '(', ')', ':', '___EOS___']", "index": 130 }, { "content": " def test_check_ride_requests_after_request(self):\n for rider in self.riders:\n response = self.driver.check_ride_requests()\n assert response['code'] == response_codes.ALL_OK\n self.driver.ride_request = response['value']", "metadata": "root.TestMultipleMatching.test_check_ride_requests_after_request", "header": "['class', 'TestMultipleMatching', '(', ')', ':', '___EOS___']", "index": 135 }, { "content": " def test_accept_ride_request(self):\n for rider in self.driver.ride_request:\n response = self.driver.accept_ride_request(rider)\n assert response['code'] == response_codes.ALL_OK", "metadata": "root.TestMultipleMatching.test_accept_ride_request", "header": "['class', 'TestMultipleMatching', '(', ')', ':', '___EOS___']", "index": 141 }, { "content": " def test_get_position_after_request(self):\n for rider in self.riders:\n response = self.driver.get_position(person=rider)\n assert response['code'] == response_codes.ALL_OK", "metadata": "root.TestMultipleMatching.test_get_position_after_request", "header": "['class', 'TestMultipleMatching', '(', ')', ':', '___EOS___']", "index": 146 }, { "content": " def test_start_ride(self):\n for rider in self.riders:\n if not hasattr(rider,\"trip\"):\n break\n response = rider.start_ride(rider.trip)\n assert response['code'] == response_codes.ALL_OK", "metadata": "root.TestMultipleMatching.test_start_ride", "header": "['class', 'TestMultipleMatching', '(', ')', ':', '___EOS___']", "index": 151 }, { "content": " def test_search_trip_no_vacany(self):\n response = self.rider5.search_ride(self.rider5.location,self.rider5.destination)\n assert response['code'] == response_codes.ALL_OK\n with py.test.raises(KeyError):\n assert response['trips'] == True", "metadata": "root.TestMultipleMatching.test_search_trip_no_vacany", "header": "['class', 'TestMultipleMatching', '(', ')', ':', '___EOS___']", "index": 158 }, { "content": " def test_search_trip_vacany(self):\n response = self.rider4.finish_ride(self.rider4.trip)\n assert response['code'] == response_codes.ALL_OK\n\n response = self.rider5.search_ride(self.rider5.location,self.rider5.destination)\n assert response['code'] == response_codes.ALL_OK\n\n self.rider5.trip = response['value']['trips'][0]", "metadata": "root.TestMultipleMatching.test_search_trip_vacany", "header": "['class', 'TestMultipleMatching', '(', ')', ':', '___EOS___']", "index": 164 }, { "content": " def test_request_ride_rider5(self):\n response = self.rider5.request_ride(trip=self.rider5.trip)\n assert response['code'] == response_codes.CREATED or response['code'] == response_codes.ALL_OK", "metadata": "root.TestMultipleMatching.test_request_ride_rider5", "header": "['class', 'TestMultipleMatching', '(', ')', ':', '___EOS___']", "index": 173 }, { "content": " def test_check_ride_request_rider5(self):\n response = self.driver.check_ride_requests()\n assert response['code'] == response_codes.ALL_OK\n participation = utils.get_requested_participation(response['value'])\n assert participation['author']['username'] == self.rider5.username\n self.driver.ride_request = response['value']", "metadata": "root.TestMultipleMatching.test_check_ride_request_rider5", "header": "['class', 'TestMultipleMatching', '(', ')', ':', '___EOS___']", "index": 178 }, { "content": " def test_cancel_requested_ride(self):\n response = self.rider5.cancel_requested_ride(trip=self.rider5.trip)\n assert response['code'] == response_codes.DELETED", "metadata": "root.TestMultipleMatching.test_cancel_requested_ride", "header": "['class', 'TestMultipleMatching', '(', ')', ':', '___EOS___']", "index": 186 }, { "content": " def test_check_cancelled_ride_request_rider5(self):\n response = self.driver.check_ride_requests()\n assert response['code'] == response_codes.ALL_OK\n participation = utils.get_requested_participation(response['value'])\n assert not participation", "metadata": "root.TestMultipleMatching.test_check_cancelled_ride_request_rider5", "header": "['class', 'TestMultipleMatching', '(', ')', ':', '___EOS___']", "index": 190 }, { "content": " def test_get_position_cancelled_ride_request(self):\n response = self.driver.get_position(self.rider5)\n assert response['code'] == response_codes.FORBIDDEN", "metadata": "root.TestMultipleMatching.test_get_position_cancelled_ride_request", "header": "['class', 'TestMultipleMatching', '(', ')', ':', '___EOS___']", "index": 196 }, { "content": " def test_search_trip_rider6(self):\n response = self.rider6.search_ride(self.rider6.location,self.rider6.destination)\n assert response['code'] == response_codes.ALL_OK\n self.rider6.trip = response['value']['trips'][0]", "metadata": "root.TestMultipleMatching.test_search_trip_rider6", "header": "['class', 'TestMultipleMatching', '(', ')', ':', '___EOS___']", "index": 201 }, { "content": " def test_request_ride_rider6(self):\n response = self.rider6.request_ride(trip=self.rider6.trip)\n assert response['code'] == response_codes.CREATED or response['code'] == response_codes.ALL_OK", "metadata": "root.TestMultipleMatching.test_request_ride_rider6", "header": "['class', 'TestMultipleMatching', '(', ')', ':', '___EOS___']", "index": 206 }, { "content": " def test_check_ride_request_rider5(self):\n response = self.driver.check_ride_requests()\n assert response['code'] == response_codes.ALL_OK\n participation = utils.get_requested_participation(response['value'])\n assert participation['author']['username'] == self.rider6.username\n self.driver.ride_request = response['value']", "metadata": "root.TestMultipleMatching.test_check_ride_request_rider5", "header": "['class', 'TestMultipleMatching', '(', ')', ':', '___EOS___']", "index": 210 }, { "content": " def test_finish_ride(self):\n for rider in self.riders:\n if not hasattr(rider,\"trip\"):\n break\n response = rider.finish_ride(rider.trip)\n assert response['code'] == response_codes.ALL_OK", "metadata": "root.TestMultipleMatching.test_finish_ride", "header": "['class', 'TestMultipleMatching', '(', ')', ':', '___EOS___']", "index": 217 }, { "content": " def test_get_position_after_ride_finished(self):\n for rider in self.riders:\n response = self.driver.get_position(person=rider)\n assert response['code'] == response_codes.FORBIDDEN", "metadata": "root.TestMultipleMatching.test_get_position_after_ride_finished", "header": "['class', 'TestMultipleMatching', '(', ')', ':', '___EOS___']", "index": 224 } ]

[ { "span": "import copy", "start_line": 17, "start_column": 0, "end_line": 17, "end_column": 11 } ]

[]

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2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2 ]

[ { "content": "import sys\nimport os\nimport copy\nimport distutils\nimport distutils.sysconfig\nimport re\nimport warnings\nimport errno\n\nfrom subprocess \\\n import \\\n Popen, PIPE, STDOUT\n\nfrom yaku.task_manager \\\n import \\\n topo_sort, build_dag, \\\n CompiledTaskGen, set_extension_hook\nfrom yaku.sysconfig \\\n import \\\n get_configuration, detect_distutils_cc\nfrom yaku.compiled_fun \\\n import \\\n compile_fun\nfrom yaku.task \\\n import \\\n task_factory\nfrom yaku.utils \\\n import \\\n ensure_dir, get_exception\nfrom yaku.environment \\\n import \\\n Environment\nfrom yaku.conftests \\\n import \\\n check_compiler, check_header\nfrom yaku.tools.ctasks \\\n import \\\n apply_define\nfrom yaku.scheduler \\\n import \\\n run_tasks\nfrom yaku.conf \\\n import \\\n with_conf_blddir, create_file, write_log\nfrom yaku.errors \\\n import \\\n TaskRunFailure\nfrom yaku._config \\\n import \\\n _OUTPUT\nimport yaku.tools\n\npylink, pylink_vars = compile_fun(\"pylink\", \"${PYEXT_SHLINK} ${PYEXT_LINK_TGT_F}${TGT[0].abspath()} ${PYEXT_LINK_SRC_F}${SRC} ${PYEXT_APP_LIBDIR} ${PYEXT_APP_LIBS} ${PYEXT_APP_FRAMEWORKS} ${PYEXT_SHLINKFLAGS}\", False)\n\npycc, pycc_vars = compile_fun(\"pycc\", \"${PYEXT_CC} ${PYEXT_CFLAGS} ${PYEXT_INCPATH} ${PYEXT_CC_TGT_F}${TGT[0].abspath()} ${PYEXT_CC_SRC_F}${SRC}\", False)\n\npycxx, pycxx_vars = compile_fun(\"pycxx\", \"${PYEXT_CXX} ${PYEXT_CXXFLAGS} ${PYEXT_INCPATH} ${PYEXT_CXX_TGT_F}${TGT[0].abspath()} ${PYEXT_CXX_SRC_F}${SRC}\", False)\n\npycxxlink, pycxxlink_vars = compile_fun(\"pycxxlink\", \"${PYEXT_CXXSHLINK} ${PYEXT_LINK_TGT_F}${TGT[0].abspath()} ${PYEXT_LINK_SRC_F}${SRC} ${PYEXT_APP_LIBDIR} ${PYEXT_APP_LIBS} ${PYEXT_APP_FRAMEWORKS} ${PYEXT_SHLINKFLAGS}\", False)\n\n# pyext env <-> sysconfig env conversion\n\n_SYS_TO_PYENV = {\n \"PYEXT_SHCC\": \"CC\",\n \"PYEXT_CCSHARED\": \"CCSHARED\",\n \"PYEXT_SHLINK\": \"LDSHARED\",\n \"PYEXT_SUFFIX\": \"SO\",\n \"PYEXT_CFLAGS\": \"CFLAGS\",\n \"PYEXT_OPT\": \"OPT\",\n \"PYEXT_LIBDIR\": \"LIBDIR\",\n}\n\n_PYENV_REQUIRED = [\n \"LIBDIR_FMT\",\n \"LIBS\",\n \"LIB_FMT\",\n \"CPPPATH_FMT\",\n \"CC_TGT_F\",\n \"CC_SRC_F\",\n \"LINK_TGT_F\",\n \"LINK_SRC_F\",\n]\n\n_SYS_TO_CCENV = {\n \"CC\": \"CC\",\n \"SHCC\": \"CCSHARED\",\n \"SHLINK\": \"LDSHARED\",\n \"SO\": \"SO\",\n \"CFLAGS\": \"CFLAGS\",\n \"OPT\": \"OPT\",\n \"LIBDIR\": \"LIBDIR\",\n \"LIBDIR_FMT\": \"LIBDIR_FMT\",\n \"LIBS\": \"LIBS\",\n \"LIB_FMT\": \"LIB_FMT\",\n \"CPPPATH_FMT\": \"CPPPATH_FMT\",\n \"CC_TGT_F\": \"CC_TGT_F\",\n \"CC_SRC_F\": \"CC_SRC_F\",\n \"CXX\": \"CXX\",\n \"CXXSHLINK\": \"CXXSHLINK\",\n}\n\n\n\n\n\n\n\n# XXX: fix merge env location+api\n\n\nCC_SIGNATURE = {\n \"clang\": re.compile(\"clang version\"),\n \"gcc\": re.compile(\"gcc version\"),\n \"msvc\": re.compile(\"Microsoft \\(R\\) (32-bit |)C/C\\+\\+ Optimizing Compiler\")\n}\n\n\n\n\n\n\n\n\n# FIXME: find a way to reuse this kind of code between tools\n\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def setup_pyext_env(ctx, cc_type=\"default\", use_distutils=True):\n pyenv = Environment()\n if use_distutils:\n if cc_type == \"default\":\n dist_env = get_configuration()\n else:\n dist_env = get_configuration(cc_type)\n print(dist_env)\n for name, value in dist_env.items():\n pyenv[\"PYEXT_%s\" % name] = value\n pyenv[\"PYEXT_CFLAGS\"].extend(dist_env.get(\"SHARED\", []))\n pyenv[\"PYEXT_FMT\"] = \"%%s%s\" % dist_env[\"SO\"]\n pyenv[\"PYEXT_SHLINKFLAGS\"] = dist_env[\"LDFLAGS\"]\n else:\n old_env = ctx.env\n ctx.env = Environment()\n cc_env = None\n sys.path.insert(0, os.path.dirname(yaku.tools.__file__))\n try:\n try:\n mod = __import__(cc_type)\n mod.setup(ctx)\n except ImportError:\n raise RuntimeError(\"No tool %s is available (import failed)\" \\\n % cc_type)\n cc_env = ctx.env\n finally:\n sys.path.pop(0)\n ctx.env = old_env\n pyenv[\"PYEXT_CC\"] = cc_env[\"CC\"]\n pyenv[\"PYEXT_CFLAGS\"] = cc_env[\"CFLAGS\"]\n pyenv[\"PYEXT_LIBDIR\"] = cc_env[\"LIBDIR\"]\n pyenv[\"PYEXT_LIBS\"] = cc_env[\"LIBS\"]\n pyenv[\"PYEXT_FMT\"] = \"%s.so\"\n pyenv[\"PYEXT_SHLINK\"] = cc_env[\"MODLINK\"]\n pyenv[\"PYEXT_SHLINKFLAGS\"] = cc_env[\"MODLINKFLAGS\"]\n pyenv[\"PYEXT_CPPPATH\"] = cc_env[\"CPPPATH\"]\n pyenv.append(\"PYEXT_CPPPATH\", distutils.sysconfig.get_python_inc(), create=True)\n if sys.platform == \"win32\":\n pyenv.append(\"PYEXT_LIBDIR\", os.path.join(sys.exec_prefix, \"libs\"))\n\n return pyenv", "metadata": "root.setup_pyext_env", "header": "['module', '___EOS___']", "index": 101 }, { "content": "def pycc_hook(self, node):\n tasks = pycc_task(self, node)\n self.object_tasks.extend(tasks)\n return tasks", "metadata": "root.pycc_hook", "header": "['module', '___EOS___']", "index": 144 }, { "content": "def pycc_task(self, node):\n base = self.env[\"CC_OBJECT_FMT\"] % node.name\n target = node.parent.declare(base)\n ensure_dir(target.abspath())\n\n task = task_factory(\"pycc\")(inputs=[node], outputs=[target])\n task.gen = self\n task.env_vars = pycc_vars\n task.env = self.env\n task.func = pycc\n return [task]", "metadata": "root.pycc_task", "header": "['module', '___EOS___']", "index": 149 }, { "content": "def pycxx_hook(self, node):\n tasks = pycxx_task(self, node)\n self.object_tasks.extend(tasks)\n self.has_cxx = True\n return tasks", "metadata": "root.pycxx_hook", "header": "['module', '___EOS___']", "index": 161 }, { "content": "def pycxx_task(self, node):\n base = self.env[\"CXX_OBJECT_FMT\"] % node.name\n target = node.parent.declare(base)\n ensure_dir(target.abspath())\n\n task = task_factory(\"pycxx\")(inputs=[node], outputs=[target])\n task.gen = self\n task.env_vars = pycxx_vars\n task.env = self.env\n task.func = pycxx\n return [task]", "metadata": "root.pycxx_task", "header": "['module', '___EOS___']", "index": 167 }, { "content": "def pylink_task(self, name):\n objects = [tsk.outputs[0] for tsk in self.object_tasks]\n if len(objects) < 1:\n warnings.warn(\"task %s has no inputs !\" % name)\n def declare_target():\n folder, base = os.path.split(name)\n tmp = folder + os.path.sep + self.env[\"PYEXT_FMT\"] % base\n return self.bld.path.declare(tmp)\n target = declare_target()\n ensure_dir(target.abspath())\n\n task = task_factory(\"pylink\")(inputs=objects, outputs=[target])\n task.gen = self\n task.func = pylink\n task.env_vars = pylink_vars\n self.link_task = task\n\n return [task]", "metadata": "root.pylink_task", "header": "['module', '___EOS___']", "index": 179 }, { "content": "class PythonBuilder(yaku.tools.Builder):\n\n\n\n\n\n\n\n", "metadata": "root.PythonBuilder", "header": "['module', '___EOS___']", "index": 199 }, { "content": " def clone(self):\n return PythonBuilder(self.ctx)", "metadata": "root.PythonBuilder.clone", "header": "['class', 'PythonBuilder', '(', 'yaku', '.', 'tools', '.', 'Builder', ')', ':', '___EOS___']", "index": 200 }, { "content": " def __init__(self, ctx):\n yaku.tools.Builder.__init__(self, ctx)", "metadata": "root.PythonBuilder.__init__", "header": "['class', 'PythonBuilder', '(', 'yaku', '.', 'tools', '.', 'Builder', ')', ':', '___EOS___']", "index": 203 }, { "content": " def _compile(self, task_gen, name):\n apply_define(task_gen)\n apply_cpppath(task_gen)\n\n tasks = task_gen.process()\n for t in tasks:\n t.env = task_gen.env\n return tasks", "metadata": "root.PythonBuilder._compile", "header": "['class', 'PythonBuilder', '(', 'yaku', '.', 'tools', '.', 'Builder', ')', ':', '___EOS___']", "index": 206 }, { "content": " def try_compile(self, name, body, headers=None):\n old_hook = set_extension_hook(\".c\", pycc_task)\n try:\n return with_conf_blddir(self.ctx, name, body,\n lambda : yaku.tools.try_task_maker(self.ctx, self._compile, name, body, headers))\n finally:\n set_extension_hook(\".c\", old_hook)", "metadata": "root.PythonBuilder.try_compile", "header": "['class', 'PythonBuilder', '(', 'yaku', '.', 'tools', '.', 'Builder', ')', ':', '___EOS___']", "index": 215 }, { "content": " def try_extension(self, name, body, headers=None):\n old_hook = set_extension_hook(\".c\", pycc_task)\n try:\n return with_conf_blddir(self.ctx, name, body,\n lambda : yaku.tools.try_task_maker(self.ctx, self._extension, name, body, headers))\n finally:\n set_extension_hook(\".c\", old_hook)", "metadata": "root.PythonBuilder.try_extension", "header": "['class', 'PythonBuilder', '(', 'yaku', '.', 'tools', '.', 'Builder', ')', ':', '___EOS___']", "index": 223 }, { "content": " def _extension(self, task_gen, name):\n bld = self.ctx\n base = name.replace(\".\", os.sep)\n\n tasks = []\n\n old_hook = set_extension_hook(\".c\", pycc_hook)\n old_hook_cxx = set_extension_hook(\".cxx\", pycxx_hook)\n\n apply_define(task_gen)\n apply_cpppath(task_gen)\n apply_libpath(task_gen)\n apply_libs(task_gen)\n apply_frameworks(task_gen)\n\n tasks = task_gen.process()\n\n ltask = pylink_task(task_gen, base)\n task_gen.link_task = ltask\n if task_gen.has_cxx:\n task_gen.link_task[-1].func = pycxxlink\n task_gen.link_task[-1].env_vars = pycxxlink_vars\n\n tasks.extend(ltask)\n for t in tasks:\n t.env = task_gen.env\n\n set_extension_hook(\".c\", old_hook)\n set_extension_hook(\".cxx\", old_hook_cxx)\n return tasks", "metadata": "root.PythonBuilder._extension", "header": "['class', 'PythonBuilder', '(', 'yaku', '.', 'tools', '.', 'Builder', ')', ':', '___EOS___']", "index": 231 }, { "content": " def extension(self, name, sources, env=None):\n sources = self.to_nodes(sources)\n task_gen = CompiledTaskGen(\"pyext\", self.ctx, sources, name)\n task_gen.bld = self.ctx\n task_gen.env = yaku.tools._merge_env(self.env, env)\n tasks = self._extension(task_gen, name)\n self.ctx.tasks.extend(tasks)\n\n outputs = []\n for t in task_gen.link_task:\n outputs.extend(t.outputs)\n task_gen.outputs = outputs\n return tasks", "metadata": "root.PythonBuilder.extension", "header": "['class', 'PythonBuilder', '(', 'yaku', '.', 'tools', '.', 'Builder', ')', ':', '___EOS___']", "index": 262 }, { "content": " def try_extension(self, name, body, headers=None):\n return with_conf_blddir(self.ctx, name, body,\n lambda : yaku.tools.try_task_maker(self.ctx, self._extension, name, body, headers))", "metadata": "root.PythonBuilder.try_extension", "header": "['class', 'PythonBuilder', '(', 'yaku', '.', 'tools', '.', 'Builder', ')', ':', '___EOS___']", "index": 276 }, { "content": " def configure(self, candidates=None, use_distutils=True):\n ctx = self.ctx\n # How we do it\n # 1: for distutils-based configuration\n # - get compile/flags flags from sysconfig\n # - detect yaku tool name from CC used by distutils:\n # - get the compiler executable used by distutils ($CC\n # variable)\n # - try to determine yaku tool name from $CC\n # - apply necessary variables from yaku tool to $PYEXT_\n # \"namespace\"\n if candidates is None:\n compiler_type = \"default\"\n else:\n compiler_type = candidates[0]\n\n if use_distutils:\n dist_env = setup_pyext_env(ctx, compiler_type)\n ctx.env.update(dist_env)\n\n cc_exec = get_distutils_cc_exec(ctx, compiler_type)\n yaku_cc_type = detect_cc_type(ctx, cc_exec)\n if yaku_cc_type is None:\n raise ValueError(\"No adequate C compiler found (distutils mode)\")\n\n _setup_compiler(ctx, yaku_cc_type)\n\n cxx_exec = get_distutils_cxx_exec(ctx, compiler_type)\n yaku_cxx_type = detect_cxx_type(ctx, cxx_exec)\n if yaku_cxx_type is None:\n raise ValueError(\"No adequate CXX compiler found (distutils mode)\")\n\n _setup_cxxcompiler(ctx, yaku_cxx_type)\n else:\n dist_env = setup_pyext_env(ctx, compiler_type, False)\n ctx.env.update(dist_env)\n _setup_compiler(ctx, compiler_type)\n\n pycode = r\"\"\"\\\n#include <Python.h>\n#include <stdio.h>\n\nstatic PyObject*\nhello(PyObject *self, PyObject *args)\n{\n printf(\"Hello from C\\n\");\n Py_INCREF(Py_None);\n return Py_None;\n}\n\nstatic PyMethodDef HelloMethods[] = {\n {\"hello\", hello, METH_VARARGS, \"Print a hello world.\"},\n {NULL, NULL, 0, NULL} /* Sentinel */\n};\n\nPyMODINIT_FUNC\ninit_bar(void)\n{\n (void) Py_InitModule(\"_bar\", HelloMethods);\n}\n\"\"\"\n ctx.start_message(\"Checking whether %s can build python object code\" % compiler_type)\n try:\n self.try_compile(\"foo\", pycode)\n ctx.end_message(\"yes\")\n except TaskRunFailure:\n e = get_exception()\n ctx.end_message(\"no\")\n ctx.fail_configuration(str(e))\n\n ctx.start_message(\"Checking whether %s can build python extension\" % compiler_type)\n try:\n self.try_extension(\"foo\", pycode)\n ctx.end_message(\"yes\")\n except TaskRunFailure:\n e = get_exception()\n ctx.end_message(\"no\")\n ctx.fail_configuration(str(e))\n self.configured = True", "metadata": "root.PythonBuilder.configure", "header": "['class', 'PythonBuilder', '(', 'yaku', '.', 'tools', '.', 'Builder', ')', ':', '___EOS___']", "index": 280 }, { "content": "def get_builder(ctx):\n return PythonBuilder(ctx)", "metadata": "root.get_builder", "header": "['module', '___EOS___']", "index": 360 }, { "content": "def detect_cc_type(ctx, cc_cmd):\n return _detect_cc_type(ctx, cc_cmd)", "metadata": "root.detect_cc_type", "header": "['module', '___EOS___']", "index": 369 }, { "content": "def detect_cxx_type(ctx, cxx_cmd):\n cxx_type = _detect_cc_type(ctx, cxx_cmd)\n if cxx_type == \"gcc\":\n return \"gxx\"\n else:\n return cxx_type", "metadata": "root.detect_cxx_type", "header": "['module', '___EOS___']", "index": 372 }, { "content": "def _detect_cc_type(ctx, cc_cmd):\n cc_type = None\n\n def detect_type(vflag):\n cmd = cc_cmd + [vflag]\n env = os.environ\n env[\"LC_ALL\"] = env[\"LANGUAGE\"] = \"C\"\n p = Popen(cmd, stdout=PIPE, stderr=STDOUT, env=env)\n out = p.communicate()[0].decode()\n for k, v in CC_SIGNATURE.items():\n m = v.search(out)\n if m:\n return k\n return None\n\n _OUTPUT.write(\"Detecting CC type... \")\n if sys.platform == \"win32\":\n for v in [\"\", \"-v\"]:\n cc_type = detect_type(v)\n else:\n try:\n for v in [\"-v\", \"-V\", \"-###\"]:\n cc_type = detect_type(v)\n if cc_type:\n break\n if cc_type is None:\n cc_type = \"cc\"\n except OSError:\n e = extract_exception()\n if e.errno == errno.ENOENT:\n raise ValueError(\"compiler %r not found\" % \" \".join(cc_cmd))\n else:\n raise ValueError(\"Unexpected error %r when testing compiler %r\" % (e, cc_cmd))\n _OUTPUT.write(\"%s\\n\" % cc_type)\n return cc_type", "metadata": "root._detect_cc_type", "header": "['module', '___EOS___']", "index": 379 }, { "content": "def get_distutils_cc_exec(ctx, compiler_type=\"default\"):\n from distutils import ccompiler\n from distutils.sysconfig import customize_compiler\n\n _OUTPUT.write(\"Detecting distutils CC exec ... \")\n if compiler_type == \"default\":\n compiler_type = \\\n distutils.ccompiler.get_default_compiler()\n\n compiler = ccompiler.new_compiler(compiler=compiler_type)\n customize_compiler(compiler)\n if compiler_type == \"msvc\":\n compiler.initialize()\n cc = [compiler.cc]\n else:\n cc = compiler.compiler_so[:1]\n _OUTPUT.write(\"%s\\n\" % \" \".join(cc))\n return cc", "metadata": "root.get_distutils_cc_exec", "header": "['module', '___EOS___']", "index": 415 }, { "content": "def get_distutils_cxx_exec(ctx, compiler_type=\"default\"):\n from distutils import ccompiler\n from distutils.sysconfig import customize_compiler\n\n _OUTPUT.write(\"Detecting distutils CXX exec ... \")\n if compiler_type == \"default\":\n compiler_type = \\\n distutils.ccompiler.get_default_compiler()\n\n compiler = ccompiler.new_compiler(compiler=compiler_type)\n if compiler_type == \"msvc\":\n compiler.initialize()\n cc = [compiler.cc]\n else:\n customize_compiler(compiler)\n cc = compiler.compiler_cxx\n _OUTPUT.write(\"%s\\n\" % \" \".join(cc))\n return cc", "metadata": "root.get_distutils_cxx_exec", "header": "['module', '___EOS___']", "index": 434 }, { "content": "def _setup_compiler(ctx, cc_type):\n old_env = ctx.env\n ctx.env = Environment()\n cc_env = None\n sys.path.insert(0, os.path.dirname(yaku.tools.__file__))\n try:\n try:\n mod = __import__(cc_type)\n mod.setup(ctx)\n except ImportError:\n raise RuntimeError(\"No tool %s is available (import failed)\" \\\n % cc_type)\n\n # XXX: this is ugly - find a way to have tool-specific env...\n cc_env = ctx.env\n finally:\n sys.path.pop(0)\n ctx.env = old_env\n\n copied_values = [\"CC\", \"CPPPATH_FMT\", \"LIBDIR_FMT\", \"LIB_FMT\",\n \"CC_OBJECT_FMT\", \"CC_TGT_F\", \"CC_SRC_F\", \"LINK_TGT_F\",\n \"LINK_SRC_F\", \"SHLINK\"]\n for k in copied_values:\n ctx.env[\"PYEXT_%s\" % k] = cc_env[k]\n ctx.env.prextend(\"PYEXT_CPPPATH\", cc_env[\"CPPPATH\"])\n ctx.env.prextend(\"PYEXT_LIBDIR\", cc_env[\"LIBDIR\"])", "metadata": "root._setup_compiler", "header": "['module', '___EOS___']", "index": 453 }, { "content": "def _setup_cxxcompiler(ctx, cxx_type):\n old_env = ctx.env\n ctx.env = Environment()\n sys.path.insert(0, os.path.dirname(yaku.tools.__file__))\n try:\n mod = __import__(cxx_type)\n mod.setup(ctx)\n cxx_env = ctx.env\n finally:\n sys.path.pop(0)\n ctx.env = old_env\n\n for k in [\"CXX\", \"CXXFLAGS\", \"CXX_TGT_F\", \"CXX_SRC_F\",\n \"CXXSHLINK\"]:\n ctx.env[\"PYEXT_%s\" % k] = cxx_env[k]", "metadata": "root._setup_cxxcompiler", "header": "['module', '___EOS___']", "index": 480 }, { "content": "def apply_frameworks(task_gen):\n # XXX: do this correctly (platform specific tool config)\n if sys.platform == \"darwin\":\n frameworks = task_gen.env.get(\"PYEXT_FRAMEWORKS\", [])\n task_gen.env[\"PYEXT_APP_FRAMEWORKS\"] = []\n for framework in frameworks:\n task_gen.env[\"PYEXT_APP_FRAMEWORKS\"].extend([\"-framework\", framework])\n else:\n task_gen.env[\"PYEXT_APP_FRAMEWORKS\"] = []", "metadata": "root.apply_frameworks", "header": "['module', '___EOS___']", "index": 497 }, { "content": "def apply_libs(task_gen):\n libs = task_gen.env[\"PYEXT_LIBS\"]\n task_gen.env[\"PYEXT_APP_LIBS\"] = [\n task_gen.env[\"PYEXT_LIB_FMT\"] % lib for lib in libs]", "metadata": "root.apply_libs", "header": "['module', '___EOS___']", "index": 507 }, { "content": "def apply_libpath(task_gen):\n libdir = task_gen.env[\"PYEXT_LIBDIR\"]\n #implicit_paths = set([\n # os.path.join(task_gen.env[\"BLDDIR\"], os.path.dirname(s))\n # for s in task_gen.sources])\n implicit_paths = []\n libdir = list(implicit_paths) + libdir\n task_gen.env[\"PYEXT_APP_LIBDIR\"] = [\n task_gen.env[\"PYEXT_LIBDIR_FMT\"] % d for d in libdir]", "metadata": "root.apply_libpath", "header": "['module', '___EOS___']", "index": 512 }, { "content": "def apply_cpppath(task_gen):\n cpppaths = task_gen.env[\"PYEXT_CPPPATH\"]\n implicit_paths = set([s.parent.srcpath() \\\n for s in task_gen.sources])\n srcnode = task_gen.sources[0].ctx.srcnode\n\n relcpppaths = []\n for p in cpppaths:\n if not os.path.isabs(p):\n node = srcnode.find_node(p)\n assert node is not None, \"could not find %s\" % p\n relcpppaths.append(node.bldpath())\n else:\n relcpppaths.append(p)\n cpppaths = list(implicit_paths) + relcpppaths\n task_gen.env[\"PYEXT_INCPATH\"] = [\n task_gen.env[\"PYEXT_CPPPATH_FMT\"] % p\n for p in cpppaths]", "metadata": "root.apply_cpppath", "header": "['module', '___EOS___']", "index": 522 } ]

[ { "span": "import copy", "start_line": 2, "start_column": 0, "end_line": 2, "end_column": 11 }, { "span": "from yaku.task_manager \\\n import \\\n topo_sort, build_dag, \\\n CompiledTaskGen, set_extension_hook", "start_line": 13, "start_column": 0, "end_line": 16, "end_column": 43 }, { "span": "from yaku.sysconfig \\\n import \\\n get_configuration, detect_distutils_cc", "start_line": 17, "start_column": 0, "end_line": 19, "end_column": 46 }, { "span": "from yaku.conftests \\\n import \\\n check_compiler, check_header", "start_line": 32, "start_column": 0, "end_line": 34, "end_column": 36 }, { "span": "from yaku.scheduler \\\n import \\\n run_tasks", "start_line": 38, "start_column": 0, "end_line": 40, "end_column": 17 }, { "span": "from yaku.conf \\\n import \\\n with_conf_blddir, create_file, write_log", "start_line": 41, "start_column": 0, "end_line": 43, "end_column": 48 } ]

[]

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[ { "content": " def test_seek(self):\n \"\"\"Test seek() method of _FileObject, incl. random reading.\n \"\"\"\n if self.sep != \"|\":\n filename = \"0-REGTYPE-TEXT\"\n self.tar.extract(filename, dirname())\n f = open(os.path.join(dirname(), filename), \"rb\")\n data = f.read()\n f.close()\n\n tarinfo = self.tar.getmember(filename)\n fobj = self.tar.extractfile(tarinfo)\n\n text = fobj.read()\n fobj.seek(0)\n self.assert_(0 == fobj.tell(),\n \"seek() to file's start failed\")\n fobj.seek(2048, 0)\n self.assert_(2048 == fobj.tell(),\n \"seek() to absolute position failed\")\n fobj.seek(-1024, 1)\n self.assert_(1024 == fobj.tell(),\n \"seek() to negative relative position failed\")\n fobj.seek(1024, 1)\n self.assert_(2048 == fobj.tell(),\n \"seek() to positive relative position failed\")\n s = fobj.read(10)\n self.assert_(s == data[2048:2058],\n \"read() after seek failed\")\n fobj.seek(0, 2)\n self.assert_(tarinfo.size == fobj.tell(),\n \"seek() to file's end failed\")\n self.assert_(fobj.read() == \"\",\n \"read() at file's end did not return empty string\")\n fobj.seek(-tarinfo.size, 2)\n self.assert_(0 == fobj.tell(),\n \"relative seek() to file's start failed\")\n fobj.seek(512)\n s1 = fobj.readlines()\n fobj.seek(512)\n s2 = fobj.readlines()\n self.assert_(s1 == s2,\n \"readlines() after seek failed\")\n fobj.seek(0)\n self.assert_(len(fobj.readline()) == fobj.tell(),\n \"tell() after readline() failed\")\n fobj.seek(512)\n self.assert_(len(fobj.readline()) + 512 == fobj.tell(),\n \"tell() after seek() and readline() failed\")\n fobj.seek(0)\n line = fobj.readline()\n self.assert_(fobj.read() == data[len(line):],\n \"read() after readline() failed\")\n fobj.close()", "metadata": "root.ReadTest.test_seek", "header": "['class', 'ReadTest', '(', 'BaseTest', ')', ':', '___EOS___']", "index": 111 } ]

[ { "span": "text ", "start_line": 124, "start_column": 12, "end_line": 124, "end_column": 16 } ]

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[ { "content": " def test_math(self):\n self.assertEqual(+False, 0)\n self.assertIsNot(+False, False)\n self.assertEqual(-False, 0)\n self.assertIsNot(-False, False)\n self.assertEqual(abs(False), 0)\n self.assertIsNot(abs(False), False)\n self.assertEqual(+True, 1)\n self.assertIsNot(+True, True)\n self.assertEqual(-True, -1)\n self.assertEqual(abs(True), 1)\n self.assertIsNot(abs(True), True)\n self.assertEqual(~False, -1)\n self.assertEqual(~True, -2)\n\n self.assertEqual(False+2, 2)\n self.assertEqual(True+2, 3)\n self.assertEqual(2+False, 2)\n self.assertEqual(2+True, 3)\n\n self.assertEqual(False+False, 0)\n self.assertIsNot(False+False, False)\n self.assertEqual(False+True, 1)\n self.assertIsNot(False+True, True)\n self.assertEqual(True+False, 1)\n self.assertIsNot(True+False, True)\n self.assertEqual(True+True, 2)\n\n self.assertEqual(True-True, 0)\n self.assertIsNot(True-True, False)\n self.assertEqual(False-False, 0)\n self.assertIsNot(False-False, False)\n self.assertEqual(True-False, 1)\n self.assertIsNot(True-False, True)\n self.assertEqual(False-True, -1)\n\n self.assertEqual(True*1, 1)\n self.assertEqual(False*1, 0)\n self.assertIsNot(False*1, False)\n\n self.assertEqual(True/1, 1)\n self.assertIsNot(True/1, True)\n self.assertEqual(False/1, 0)\n self.assertIsNot(False/1, False)\n\n for b in False, True:\n for i in 0, 1, 2:\n self.assertEqual(b**i, int(b)**i)\n self.assertIsNot(b**i, bool(int(b)**i))\n\n for a in False, True:\n for b in False, True:\n self.assertIs(a&b, bool(int(a)&int(b)))\n self.assertIs(a|b, bool(int(a)|int(b)))\n self.assertIs(a^b, bool(int(a)^int(b)))\n self.assertEqual(a&int(b), int(a)&int(b))\n self.assertIsNot(a&int(b), bool(int(a)&int(b)))\n self.assertEqual(a|int(b), int(a)|int(b))\n self.assertIsNot(a|int(b), bool(int(a)|int(b)))\n self.assertEqual(a^int(b), int(a)^int(b))\n self.assertIsNot(a^int(b), bool(int(a)^int(b)))\n self.assertEqual(int(a)&b, int(a)&int(b))\n self.assertIsNot(int(a)&b, bool(int(a)&int(b)))\n self.assertEqual(int(a)|b, int(a)|int(b))\n self.assertIsNot(int(a)|b, bool(int(a)|int(b)))\n self.assertEqual(int(a)^b, int(a)^int(b))\n self.assertIsNot(int(a)^b, bool(int(a)^int(b)))\n\n self.assertIs(1==1, True)\n self.assertIs(1==0, False)\n self.assertIs(0<1, True)\n self.assertIs(1<0, False)\n self.assertIs(0<=0, True)\n self.assertIs(1<=0, False)\n self.assertIs(1>0, True)\n self.assertIs(1>1, False)\n self.assertIs(1>=1, True)\n self.assertIs(0>=1, False)\n self.assertIs(0!=1, True)\n self.assertIs(0!=0, False)\n\n x = [1]\n self.assertIs(x is x, True)\n self.assertIs(x is not x, False)\n\n self.assertIs(1 in x, True)\n self.assertIs(0 in x, False)\n self.assertIs(1 not in x, False)\n self.assertIs(0 not in x, True)\n\n x = {1: 2}\n self.assertIs(x is x, True)\n self.assertIs(x is not x, False)\n\n self.assertIs(1 in x, True)\n self.assertIs(0 in x, False)\n self.assertIs(1 not in x, False)\n self.assertIs(0 not in x, True)\n\n self.assertIs(not True, False)\n self.assertIs(not False, True)", "metadata": "root.BoolTest.test_math", "header": "['class', 'BoolTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 53 } ]

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[ { "content": "##########################################################################\n#\n# Copyright (c) 2012, John Haddon. All rights reserved.\n# Copyright (c) 2012-2015, Image Engine Design Inc. All rights reserved.\n#\n# Redistribution and use in source and binary forms, with or without\n# modification, are permitted provided that the following conditions are\n# met:\n#\n# * Redistributions of source code must retain the above\n# copyright notice, this list of conditions and the following\n# disclaimer.\n#\n# * Redistributions in binary form must reproduce the above\n# copyright notice, this list of conditions and the following\n# disclaimer in the documentation and/or other materials provided with\n# the distribution.\n#\n# * Neither the name of John Haddon nor the names of\n# any other contributors to this software may be used to endorse or\n# promote products derived from this software without specific prior\n# written permission.\n#\n# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS\n# IS\" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO,\n# THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR\n# PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR\n# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,\n# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,\n# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR\n# PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF\n# LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING\n# NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS\n# SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.\n#\n##########################################################################\n\nfrom _GafferImageUI import *\n\nimport DisplayUI\nfrom FormatPlugValueWidget import FormatPlugValueWidget\nfrom ChannelMaskPlugValueWidget import ChannelMaskPlugValueWidget\n\nimport OpenImageIOReaderUI\nimport ImageReaderUI\nimport ImageViewToolbar\nimport ImageTransformUI\nimport ConstantUI\nimport ImageSwitchUI\nimport ColorSpaceUI\nimport ImageContextVariablesUI\nimport ImageStatsUI\nimport DeleteChannelsUI\nimport ObjectToImageUI\nimport ClampUI\nimport ImageWriterUI\nimport GradeUI\nimport ImageTimeWarpUI\nimport ImageSamplerUI\nimport MergeUI\nimport ImageNodeUI\nimport ChannelDataProcessorUI\nimport ImageProcessorUI\nimport ImageMetadataUI\nimport DeleteImageMetadataUI\nimport CopyImageMetadataUI\nimport ImageLoopUI\nimport ShuffleUI\nimport PremultiplyUI\nimport UnpremultiplyUI\nimport CropUI\nimport ResizeUI\nimport ResampleUI\nimport LUTUI\nimport CDLUI\nimport DisplayTransformUI\nimport OffsetUI\nimport BlurUI\nimport ShapeUI\nimport TextUI\nimport WarpUI\nimport UVWarpUI\n\n__import__( \"IECore\" ).loadConfig( \"GAFFER_STARTUP_PATHS\", {}, subdirectory = \"GafferImageUI\" )\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 } ]

[ { "span": "import DisplayUI", "start_line": 39, "start_column": 0, "end_line": 39, "end_column": 16 }, { "span": "from FormatPlugValueWidget import FormatPlugValueWidget", "start_line": 40, "start_column": 0, "end_line": 40, "end_column": 55 }, { "span": "from ChannelMaskPlugValueWidget import ChannelMaskPlugValueWidget", "start_line": 41, "start_column": 0, "end_line": 41, "end_column": 65 }, { "span": "import OpenImageIOReaderUI", "start_line": 43, "start_column": 0, "end_line": 43, "end_column": 26 }, { "span": "import ImageReaderUI", "start_line": 44, "start_column": 0, "end_line": 44, "end_column": 20 }, { "span": "import ImageViewToolbar", "start_line": 45, "start_column": 0, "end_line": 45, "end_column": 23 }, { "span": "import ImageTransformUI", "start_line": 46, "start_column": 0, "end_line": 46, "end_column": 23 }, { "span": "import ConstantUI", "start_line": 47, "start_column": 0, "end_line": 47, "end_column": 17 }, { "span": "import ImageSwitchUI", "start_line": 48, "start_column": 0, "end_line": 48, "end_column": 20 }, { "span": "import ColorSpaceUI", "start_line": 49, "start_column": 0, "end_line": 49, "end_column": 19 }, { "span": "import ImageContextVariablesUI", "start_line": 50, "start_column": 0, "end_line": 50, "end_column": 30 }, { "span": "import ImageStatsUI", "start_line": 51, "start_column": 0, "end_line": 51, "end_column": 19 }, { "span": "import DeleteChannelsUI", "start_line": 52, "start_column": 0, "end_line": 52, "end_column": 23 }, { "span": "import ObjectToImageUI", "start_line": 53, "start_column": 0, "end_line": 53, "end_column": 22 }, { "span": "import ClampUI", "start_line": 54, "start_column": 0, "end_line": 54, "end_column": 14 }, { "span": "import ImageWriterUI", "start_line": 55, "start_column": 0, "end_line": 55, "end_column": 20 }, { "span": "import GradeUI", "start_line": 56, "start_column": 0, "end_line": 56, "end_column": 14 }, { "span": "import ImageTimeWarpUI", "start_line": 57, "start_column": 0, "end_line": 57, "end_column": 22 }, { "span": "import ImageSamplerUI", "start_line": 58, "start_column": 0, "end_line": 58, "end_column": 21 }, { "span": "import MergeUI", "start_line": 59, "start_column": 0, "end_line": 59, "end_column": 14 }, { "span": "import ImageNodeUI", "start_line": 60, "start_column": 0, "end_line": 60, "end_column": 18 }, { "span": "import ChannelDataProcessorUI", "start_line": 61, "start_column": 0, "end_line": 61, "end_column": 29 }, { "span": "import ImageProcessorUI", "start_line": 62, "start_column": 0, "end_line": 62, "end_column": 23 }, { "span": "import ImageMetadataUI", "start_line": 63, "start_column": 0, "end_line": 63, "end_column": 22 }, { "span": "import DeleteImageMetadataUI", "start_line": 64, "start_column": 0, "end_line": 64, "end_column": 28 }, { "span": "import CopyImageMetadataUI", "start_line": 65, "start_column": 0, "end_line": 65, "end_column": 26 }, { "span": "import ImageLoopUI", "start_line": 66, "start_column": 0, "end_line": 66, "end_column": 18 }, { "span": "import ShuffleUI", "start_line": 67, "start_column": 0, "end_line": 67, "end_column": 16 }, { "span": "import PremultiplyUI", "start_line": 68, "start_column": 0, "end_line": 68, "end_column": 20 }, { "span": "import UnpremultiplyUI", "start_line": 69, "start_column": 0, "end_line": 69, "end_column": 22 }, { "span": "import CropUI", "start_line": 70, "start_column": 0, "end_line": 70, "end_column": 13 }, { "span": "import ResizeUI", "start_line": 71, "start_column": 0, "end_line": 71, "end_column": 15 }, { "span": "import ResampleUI", "start_line": 72, "start_column": 0, "end_line": 72, "end_column": 17 }, { "span": "import LUTUI", "start_line": 73, "start_column": 0, "end_line": 73, "end_column": 12 }, { "span": "import CDLUI", "start_line": 74, "start_column": 0, "end_line": 74, "end_column": 12 }, { "span": "import DisplayTransformUI", "start_line": 75, "start_column": 0, "end_line": 75, "end_column": 25 }, { "span": "import OffsetUI", "start_line": 76, "start_column": 0, "end_line": 76, "end_column": 15 }, { "span": "import BlurUI", "start_line": 77, "start_column": 0, "end_line": 77, "end_column": 13 }, { "span": "import ShapeUI", "start_line": 78, "start_column": 0, "end_line": 78, "end_column": 14 }, { "span": "import TextUI", "start_line": 79, "start_column": 0, "end_line": 79, "end_column": 13 }, { "span": "import WarpUI", "start_line": 80, "start_column": 0, "end_line": 80, "end_column": 13 }, { "span": "import UVWarpUI", "start_line": 81, "start_column": 0, "end_line": 81, "end_column": 15 } ]

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[ { "content": "# -*- coding: utf-8 -*-\nfrom __future__ import unicode_literals\n\nfrom django.db import models, migrations\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class Migration(migrations.Migration):\n\n dependencies = [\n ('corpus', '0005_auto_20140923_1502'),\n ]\n\n operations = [\n migrations.AlterModelOptions(\n name='iedocument',\n options={'ordering': ['id']},\n ),\n ]", "metadata": "root.Migration", "header": "['module', '___EOS___']", "index": 6 } ]

[ { "span": "from django.db import models, migrations", "start_line": 3, "start_column": 0, "end_line": 3, "end_column": 40 } ]

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[ { "content": " def histogram(self, idx=None, critval=None):\n '''calculate histogram values\n\n does not do any plotting\n\n I don't remember what I wanted here, looks similar to the new cdf\n method, but this also does a binned pdf (self.histo)\n\n\n '''\n if self.mcres.ndim == 2:\n if not idx is None:\n mcres = self.mcres[:,idx]\n else:\n raise ValueError('currently only 1 statistic at a time')\n else:\n mcres = self.mcres\n\n if critval is None:\n histo = np.histogram(mcres, bins=10)\n else:\n if not critval[0] == -np.inf:\n bins=np.r_[-np.inf, critval, np.inf]\n if not critval[0] == -np.inf:\n bins=np.r_[bins, np.inf]\n histo = np.histogram(mcres,\n bins=np.r_[-np.inf, critval, np.inf])\n\n self.histo = histo\n self.cumhisto = np.cumsum(histo[0])*1./self.nrepl\n self.cumhistoreversed = np.cumsum(histo[0][::-1])[::-1]*1./self.nrepl\n return histo, self.cumhisto, self.cumhistoreversed", "metadata": "root.StatTestMC.histogram", "header": "['class', 'StatTestMC', '(', 'object', ')', ':', '___EOS___']", "index": 163 }, { "content": " def quantiles(self, idx=None, frac=[0.01, 0.025, 0.05, 0.1, 0.975]):\n '''calculate quantiles of Monte Carlo results\n\n similar to ppf\n\n Parameters\n ----------\n idx : None or list of integers\n List of indices into the Monte Carlo results (columns) that should\n be used in the calculation\n frac : array_like, float\n Defines which quantiles should be calculated. For example a frac\n of 0.1 finds the 10% quantile, x such that cdf(x)=0.1\n\n Returns\n -------\n frac : ndarray\n same values as input, TODO: I should drop this again ?\n quantiles : ndarray, (len(frac), len(idx))\n the quantiles with frac in rows and idx variables in columns\n\n Notes\n -----\n\n rename to ppf ? make frac required\n change sequence idx, frac\n\n\n '''\n\n if self.mcres.ndim == 2:\n if not idx is None:\n mcres = self.mcres[:,idx]\n else:\n raise ValueError('currently only 1 statistic at a time')\n else:\n mcres = self.mcres\n\n self.frac = frac = np.asarray(frac)\n\n mc_sorted = self.get_mc_sorted()[:,idx]\n return frac, mc_sorted[(self.nrepl*frac).astype(int)]", "metadata": "root.StatTestMC.quantiles", "header": "['class', 'StatTestMC', '(', 'object', ')', ':', '___EOS___']", "index": 203 }, { "content": " def plot_hist(self, idx, distpdf=None, bins=50, ax=None, kwds=None):\n '''plot the histogram against a reference distribution\n\n Parameters\n ----------\n idx : None or list of integers\n List of indices into the Monte Carlo results (columns) that should\n be used in the calculation\n distpdf : callable\n probability density function of reference distribution\n bins : integer or array_like\n used unchanged for matplotlibs hist call\n ax : TODO: not implemented yet\n kwds : None or tuple of dicts\n extra keyword options to the calls to the matplotlib functions,\n first dictionary is for his, second dictionary for plot of the\n reference distribution\n\n Returns\n -------\n None\n\n\n '''\n if kwds is None:\n kwds = ({},{})\n if self.mcres.ndim == 2:\n if not idx is None:\n mcres = self.mcres[:,idx]\n else:\n raise ValueError('currently only 1 statistic at a time')\n else:\n mcres = self.mcres\n\n lsp = np.linspace(mcres.min(), mcres.max(), 100)\n\n\n import matplotlib.pyplot as plt\n #I don't want to figure this out now\n# if ax=None:\n# fig = plt.figure()\n# ax = fig.addaxis()\n fig = plt.figure()\n plt.hist(mcres, bins=bins, normed=True, **kwds[0])\n plt.plot(lsp, distpdf(lsp), 'r', **kwds[1])", "metadata": "root.StatTestMC.plot_hist", "header": "['class', 'StatTestMC', '(', 'object', ')', ':', '___EOS___']", "index": 296 } ]

[ { "span": "bins=", "start_line": 187, "start_column": 16, "end_line": 187, "end_column": 20 }, { "span": "mcres ", "start_line": 235, "start_column": 16, "end_line": 235, "end_column": 21 }, { "span": "mcres ", "start_line": 239, "start_column": 12, "end_line": 239, "end_column": 17 }, { "span": "fig ", "start_line": 338, "start_column": 8, "end_line": 338, "end_column": 11 } ]

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[ { "content": "#!/usr/bin/python\n\nfrom __future__ import print_function\n\nimport inspect\nfrom inspect import currentframe, getframeinfo\n\nimport errors\nfrom errors import *\n\nimport os\nimport sys\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class pipelineErrors:\n\n # Initialise.\n\n ##################################\n ## Errors with top level fields ##\n ##################################\n\n # If the configuration file type (tool or pipeline) has not been defined.\n\n # If the configuration file type is not set to pipeline.\n\n ###################################\n ## Errors with the tasks section ##\n ###################################\n\n # Invalid tool.\n\n # If two tasks have been given the same name.\n\n # If a configuration file contains has repeated definitions of the same long form argument.\n\n # If a configuration file contains has repeated definitions of the same short form argument.\n\n # If a long form argument is defined with no short form.\n\n # If a short form argument is defined with no long form.\n\n # A pipeline long form argument conflicts with a gkno argument.\n\n # A node ID is also the name of a task.\n\n # If a task argument is listed as greedy, but the argument is not a valid argument for the tool that the task uses.\n\n # If a task argument is listed as greedy, but the argument is not identified as accepting multiple values.\n\n # If a task is marked as being terminated if there are no files to consolidate, but the task is not marked as a consolidating task.\n\n # If an invalid set of streaming instructions is requested.\n\n #############################################\n ## Errors in the terminate pipeline section #\n #############################################\n\n # If a node in the 'replace nodes' section is invalid.\n\n #####################################\n ## Errors in the arguments section ##\n #####################################\n\n # A node id supplied with a pipeline argument is not valid.\n\n # A long form argument is defined multiple times.\n\n # A short form argument is defined multiple times.\n\n # If an argument shares a name with a pipeline task.\n\n ##########################################\n ## Errors in the unique or shared nodes ##\n ##########################################\n\n # A configuraiton node supplies an argument to a task which is running a pipeline and the node within the pipeline is not specified.\n\n # An external node id is invalid.\n\n # An external node id is provided for a task that runs a tool.\n\n # A supplied task is not valid.\n\n # A configuration file node contains a tool argument that is not valid.\n\n # If a node has a non-unique id.\n\n # If a node has the same id as a task.\n\n ##################################\n ## Errors with connecting nodes ##\n ##################################\n\n # A node connection references a non-existent node.\n\n ##################################################\n ## Errors generated while dealing with streams. ##\n ##################################################\n\n # If a task is marked as outputting to a stream, but has no argument marked as\n # being able to output to a stream.\n\n # If a tool is marked as outputting to a stream, but no task in the pipeline is \n # marked as accepting a stream.\n\n # If a tool is marked as outputting to a stream, but no task in the pipeline is \n # marked as accepting a stream.", "metadata": "root.pipelineErrors", "header": "['module', '___EOS___']", "index": 13 }, { "content": " def __init__(self):\n\n # Get general error writing and termination methods.\n self.errors = errors()\n\n # The error messages are stored in the following list.\n self.text = []\n\n # For a list of all error code values, see adminErrors.py.\n self.errorCode = '7'", "metadata": "root.pipelineErrors.__init__", "header": "['class', 'pipelineErrors', ':', '___NEWLINE___', '___NL___', '# Initialise.', '___NL___', '___EOS___']", "index": 16 }, { "content": " def noConfigurationType(self, name):\n self.text.append('Error processing pipeline configuration file: ' + name + '.json.')\n self.text.append('All gkno configuration files are required to contain the \\'configuration type\\' field. This can take the value \\'tool\\' ' + \\\n 'or \\'pipeline\\' and is used to ensure that it is possible to distinguish between tool and pipeline configuration files.')\n self.errors.writeFormattedText(self.text, errorType = 'error')\n self.errors.terminate(self.errorCode)", "metadata": "root.pipelineErrors.noConfigurationType", "header": "['class', 'pipelineErrors', ':', '___NEWLINE___', '___NL___', '# Initialise.', '___NL___', '___EOS___']", "index": 32 }, { "content": " def invalidConfigurationType(self, name, configurationType):\n self.text.append('Error processing configuration file: ' + name + '.json.')\n self.text.append('All gkno configuration files are required to contain the \\'configuration type\\' field. The configuration file \\'' + name + \\\n '.json\\' is being processed as a pipeline, however, the type is listed as \\'' + configurationType + '\\'. Please ensure that \\'' + name + \\\n '\\' is a pipeline and not a tool, and that the configuration file type is correctly defined within the configuration file (i.e. the ' + \\\n 'configuration type is set to \\'pipeline\\').')\n self.errors.writeFormattedText(self.text, errorType = 'error')\n self.errors.terminate(self.errorCode)", "metadata": "root.pipelineErrors.invalidConfigurationType", "header": "['class', 'pipelineErrors', ':', '___NEWLINE___', '___NL___', '# Initialise.', '___NL___', '___EOS___']", "index": 40 }, { "content": " def invalidTool(self, tool):\n self.text.append('Invalid tool in pipeline tasks.')\n self.text.append('The pipeline tasks section of the pipeline configuration file contains a user defined task name and the tool or ' + \\\n 'pipeline with which it is associated. In this section, the tool \\'' + tool + '\\' is defined, but this is not a tool within gkno. ' + \\\n 'Please check the pipeline configuration file and ensure that all defined tasks point to valid tools or pipelines.')\n self.errors.writeFormattedText(self.text, errorType = 'error')\n self.errors.terminate(self.errorCode)", "metadata": "root.pipelineErrors.invalidTool", "header": "['class', 'pipelineErrors', ':', '___NEWLINE___', '___NL___', '# Initialise.', '___NL___', '___EOS___']", "index": 54 }, { "content": " def repeatedTaskName(self, pipeline, task):\n self.text.append('Repeated task name in pipeline: ' + pipeline + '.')\n self.text.append('Each task in the pipeline is defined in the \\'pipeline tasks\\' section of the pipeline configuration file. Each task name must be ' + \\\n 'unique so that there is no ambiguity about how to construct the pipeline graph, however, multiple tasks in this section have been given the name \\'' + \\\n task + '\\'. Please ensure that all task names in the pipeline configuration file are unique.')\n self.errors.writeFormattedText(self.text, errorType = 'error')\n self.errors.terminate(self.errorCode)", "metadata": "root.pipelineErrors.repeatedTaskName", "header": "['class', 'pipelineErrors', ':', '___NEWLINE___', '___NL___', '# Initialise.', '___NL___', '___EOS___']", "index": 63 }, { "content": " def repeatedLongFormArgument(self, nodeId, longFormArgument):\n self.text.append('Repeated argument in the pipeline configuration file.')\n self.text.append('The pipeline configuration file contains a definition for a graph node with ID \\'' + nodeId + '\\' which defines the ' + \\\n 'long form argument \\'' + longFormArgument + '\\'. This argument has already been defined in the configuration file. Please ensure that all ' + \\\n 'arguments are unique.')\n self.errors.writeFormattedText(self.text, errorType = 'error')\n self.errors.terminate(self.errorCode)", "metadata": "root.pipelineErrors.repeatedLongFormArgument", "header": "['class', 'pipelineErrors', ':', '___NEWLINE___', '___NL___', '# Initialise.', '___NL___', '___EOS___']", "index": 72 }, { "content": " def repeatedShortFormArgument(self, nodeId, longFormArgument, shortFormArgument):\n self.text.append('Repeated argument in the pipeline configuration file.')\n self.text.append('The pipeline configuration file contains a definition for a graph node with ID \\'' + nodeId + '\\' which defines the ' + \\\n 'short form argument \\'' + shortFormArgument + '\\' associated with the long form argument \\'' + longFormArgument + '\\'. This argument has ' + \\\n 'already been defined in the configuration file. Please ensure that all arguments are unique.')\n self.errors.writeFormattedText(self.text, errorType = 'error')\n self.errors.terminate(self.errorCode)", "metadata": "root.pipelineErrors.repeatedShortFormArgument", "header": "['class', 'pipelineErrors', ':', '___NEWLINE___', '___NL___', '# Initialise.', '___NL___', '___EOS___']", "index": 81 }, { "content": " def noShortFormArgument(self, nodeId, longFormArgument):\n self.text.append('No defined short form argument in the pipeline configuration file.')\n self.text.append('The pipeline configuration file contains a definition for a graph node with ID \\'' + nodeId + '\\' which defines the ' + \\\n 'long form argument \\'' + longFormArgument + '\\'. There is no short form argument associated with this, however. Please ensure that all ' + \\\n 'nodes in the configuration file defining arguments contain both a short and long form version of the argument.')\n self.errors.writeFormattedText(self.text, errorType = 'error')\n self.errors.terminate(self.errorCode)", "metadata": "root.pipelineErrors.noShortFormArgument", "header": "['class', 'pipelineErrors', ':', '___NEWLINE___', '___NL___', '# Initialise.', '___NL___', '___EOS___']", "index": 90 }, { "content": " def noLongFormArgument(self, nodeId, shortFormArgument):\n self.text.append('No defined long form argument in the pipeline configuration file.')\n self.text.append('The pipeline configuration file contains a definition for a graph node with ID \\'' + nodeId + '\\' which defines the ' + \\\n 'short form argument \\'' + shortFormArgument + '\\'. There is no long form argument associated with this, however. Please ensure that all ' + \\\n 'nodes in the configuration file defining arguments contain both a short and long form version of the argument.')\n self.errors.writeFormattedText(self.text, errorType = 'error')\n self.errors.terminate(self.errorCode)", "metadata": "root.pipelineErrors.noLongFormArgument", "header": "['class', 'pipelineErrors', ':', '___NEWLINE___', '___NL___', '# Initialise.', '___NL___', '___EOS___']", "index": 99 }, { "content": " def conflictWithGknoArguments(self, longFormArgument, shortFormArgument, isLongForm):\n self.text.append('Pipeline argument conflicts with a gkno argument.')\n\n # If a long form argument conflicts.\n if isLongForm:\n self.text.append('The pipeline argument \\'' + longFormArgument + '\\' is also a gkno argument. Please modify the pipeline configuration ' + \\\n 'file such that all arguments are unique.')\n\n # If a short form argument conflicts.\n else:\n self.text.append('The pipeline argument \\'' + longFormArgument + '\\' has the short form \\'' + shortFormArgument + '\\'. This short form is ' + \\\n 'shared with the short form version of a gkno argument. Please modify the pipeline configuration file such that all arguments (both the ' + \\\n 'long and short forms are unique.')\n\n # Write out the error and terminate.\n self.errors.writeFormattedText(self.text, errorType = 'error')\n self.errors.terminate(self.errorCode)", "metadata": "root.pipelineErrors.conflictWithGknoArguments", "header": "['class', 'pipelineErrors', ':', '___NEWLINE___', '___NL___', '# Initialise.', '___NL___', '___EOS___']", "index": 108 }, { "content": " def nodeIdIsTaskID(self, name, node, id):\n self.text.append('Node ID conflicts with a task ID.')\n self.text.append('The configuration file for the \\'' + name + '\\' pipeline contains a node in the \\'' + node + '\\' section with the ' + \\\n 'id \\'' + id + '\\'. This is also the name of a task in the pipeline. All the task names and node ids within a single configuration ' + \\\n 'file must be unique. Please amend the configuration file to make sure that all of the ids are unique.')\n self.errors.writeFormattedText(self.text, errorType = 'error')\n self.errors.terminate(self.errorCode)", "metadata": "root.pipelineErrors.nodeIdIsTaskID", "header": "['class', 'pipelineErrors', ':', '___NEWLINE___', '___NL___', '# Initialise.', '___NL___', '___EOS___']", "index": 127 }, { "content": " def invalidGreedyArgument(self, name, task, tool, argument):\n self.text.append('Invalid greedy argument.')\n self.text.append('The configuration file for the \\'' + name + '\\' pipeline contains information for the task \\'' + task + '\\', which ' + \\\n 'uses the tool \\'' + tool + '\\'. The configuration file identifies the argument \\'' + argument + '\\' as being greedy, but this argument ' + \\\n 'is not a valid argument for the tool. Please ensure that the correct argument has been supplied as a greedy argument.')\n self.errors.writeFormattedText(self.text, errorType = 'error')\n self.errors.terminate(self.errorCode)", "metadata": "root.pipelineErrors.invalidGreedyArgument", "header": "['class', 'pipelineErrors', ':', '___NEWLINE___', '___NL___', '# Initialise.', '___NL___', '___EOS___']", "index": 136 }, { "content": " def greedySingleValueArgument(self, name, task, tool, argument):\n self.text.append('Invalid greedy argument.')\n self.text.append('The configuration file for the \\'' + name + '\\' pipeline contains information for the task \\'' + task + '\\', which ' + \\\n 'uses the tool \\'' + tool + '\\'. The configuration file identifies the argument \\'' + argument + '\\' as being greedy, but this argument ' + \\\n 'is not listed as accepting multiple values in the tool configuration file. Please ensure that the correct argument has been supplied as ' + \\\n 'a greedy argument.')\n self.errors.writeFormattedText(self.text, errorType = 'error')\n self.errors.terminate(self.errorCode)", "metadata": "root.pipelineErrors.greedySingleValueArgument", "header": "['class', 'pipelineErrors', ':', '___NEWLINE___', '___NL___', '# Initialise.', '___NL___', '___EOS___']", "index": 145 }, { "content": " def terminateConsolidateError(self, name, task):\n self.text.append('Invalid termination instructions.')\n self.text.append('The configuration file for the \\'' + name + '\\' pipeline contains information for the task \\'' + task + '\\'. This task has ' + \\\n 'the attribute \\'terminate if no consolidation\\' set, but this attribute is only valid for tasks that also have \\'consolidate divisions\\' set ' + \\\n 'to true, which this task does not. Please correct the errors in the pipeline configuration file.')\n self.errors.writeFormattedText(self.text, errorType = 'error')\n self.errors.terminate(self.errorCode)", "metadata": "root.pipelineErrors.terminateConsolidateError", "header": "['class', 'pipelineErrors', ':', '___NEWLINE___', '___NL___', '# Initialise.', '___NL___', '___EOS___']", "index": 155 }, { "content": " def invalidStreamSet(self, pipeline, task, name, validSets, isInput):\n text = 'input' if isInput else 'output'\n self.text.append('Invalid ' + text + ' streaming instruction set.')\n self.text.append('The configuration file for the \\'' + pipeline + '\\' pipeline contains information for the task \\'' + task + '\\'. This task ' + \\\n 'deals with streaming files and, in particular, the ' + text + ' stream has the instruction set \\'' + name + '\\' specified. This is an invalid ' + \\\n 'set of instructions; the valid values are:')\n self.text.append('\\t')\n for setName in validSets: self.text.append('\\t' + setName)\n self.errors.writeFormattedText(self.text, errorType = 'error')\n self.errors.terminate(self.errorCode)", "metadata": "root.pipelineErrors.invalidStreamSet", "header": "['class', 'pipelineErrors', ':', '___NEWLINE___', '___NL___', '# Initialise.', '___NL___', '___EOS___']", "index": 164 }, { "content": " def invalidNodeInTermination(self, name, nodeId, text):\n self.text.append('Invalid node Id in the \\'terminate pipeline\\' section.')\n self.text.append('The configuration file for the \\'' + name + '\\' pipeline contains information in the \\'terminate pipeline\\' section ' + \\\n 'that describes conditions and instructions for creating a pipeline that doesn\\'t use all of the defined tasks. In the \\'replace nodes\\' ' + \\\n 'section, one of the \\'' + text + '\\' nodes (' + nodeId + ') is invalid for the pipeline.')\n self.errors.writeFormattedText(self.text, errorType = 'error')\n self.errors.terminate(self.errorCode)", "metadata": "root.pipelineErrors.invalidNodeInTermination", "header": "['class', 'pipelineErrors', ':', '___NEWLINE___', '___NL___', '# Initialise.', '___NL___', '___EOS___']", "index": 180 }, { "content": " def invalidNodeInArgument(self, pipeline, argument, address, category):\n self.text.append('Invalid node address supplied with argument.')\n self.text.append('The configuration file for the \\'' + pipeline + '\\' pipeline contains information in the \\'' + category + '\\' section ' + \\\n 'of \\'arguments\\' for the argument \\'' + argument + '\\'. This argument is defined as pointing to the node with address \\'' + \\\n address + '\\', but this address does not point to a valid node in the configuration file. Please ensure that the node address provided ' + \\\n 'with the argument is the ID of one of the nodes in the unique or shared nodes of the configuration file. Note that if the pipeline contains ' + \\\n 'tasks that are themselves pipelines, this address could be pointing to a node in one of the nested configuration files.')\n self.errors.writeFormattedText(self.text, errorType = 'error')\n self.errors.terminate(self.errorCode)", "metadata": "root.pipelineErrors.invalidNodeInArgument", "header": "['class', 'pipelineErrors', ':', '___NEWLINE___', '___NL___', '# Initialise.', '___NL___', '___EOS___']", "index": 193 }, { "content": " def repeatedLongFormArgument(self, helpInfo):\n self.text.append('Repeated long form argument in pipeline configuration file.')\n self.text.append('The configuration file for pipeline \\'' + helpInfo[0] + '\\' contains information for a number of pipeline arguments. The \\'' + \\\n helpInfo[1] + '\\' section contains information for the argument \\'' + helpInfo[2] + '\\' but this long form argument has already been defined ' + \\\n 'in the configuration file. Please ensure that all arguments in the configuration file are unique.')\n self.errors.writeFormattedText(self.text, errorType = 'error')\n self.errors.terminate(self.errorCode)", "metadata": "root.pipelineErrors.repeatedLongFormArgument", "header": "['class', 'pipelineErrors', ':', '___NEWLINE___', '___NL___', '# Initialise.', '___NL___', '___EOS___']", "index": 204 }, { "content": " def repeatedShortFormArgument(self, helpInfo):\n self.text.append('Repeated short form argument in pipeline configuration file.')\n self.text.append('The configuration file for pipeline \\'' + helpInfo[0] + '\\' contains information for a number of pipeline arguments. The \\'' + \\\n helpInfo[1] + '\\' section contains information for the argument \\'' + helpInfo[2] + '\\' but this short form argument has already been defined ' + \\\n 'in the configuration file. Please ensure that all arguments in the configuration file are unique.')\n self.errors.writeFormattedText(self.text, errorType = 'error')\n self.errors.terminate(self.errorCode)", "metadata": "root.pipelineErrors.repeatedShortFormArgument", "header": "['class', 'pipelineErrors', ':', '___NEWLINE___', '___NL___', '# Initialise.', '___NL___', '___EOS___']", "index": 213 }, { "content": " def argumentIsTask(self, longFormArgument, shortFormArgument, isLongForm):\n text = 'long' if isLongForm else 'short'\n self.text.append('A pipeline argument shares a name with a pipeline task.')\n self.text.append('The user is permitted to define the name of a pipeline task on the command line in order to set parameters for that task ' + \\\n 'that have not been given specific pipeline arguments. In order for this to work, no arguments for the pipeline may share a name with a ' + \\\n 'pipeline task. There is a defined pipeline argument \\'' + longFormArgument + ' (' + shortFormArgument + ')\\', where the ' + text + ' ' + \\\n 'form of the argument is the name of a pipeline task. Please change the name of the pipeline task or the argument to remove this conflict')\n self.errors.writeFormattedText(self.text, errorType = 'error')\n self.errors.terminate(self.errorCode)", "metadata": "root.pipelineErrors.argumentIsTask", "header": "['class', 'pipelineErrors', ':', '___NEWLINE___', '___NL___', '# Initialise.', '___NL___', '___EOS___']", "index": 222 }, { "content": " def missingNodeIdForPipelineTask(self, pipeline, nodeType, nodeId, task):\n self.text.append('Invalid information in configuration file node.')\n self.text.append('The configuration file for the \\'' + pipeline + '\\' pipeline contains a node with id \\'' + nodeId + '\\' in the \\'' + \\\n nodeType + ' graph nodes\\' section. This node connects with the task \\'' + task + '\\', which is a task that itself runs a pipeline. ' + \\\n 'In this case, the node id of the node in the associated pipeline needs to supplied (and not task argument information). The node id ' + \\\n 'has not been supplied in this case. Please check the configuration file and ensure that the correct information is provided.')\n self.errors.writeFormattedText(self.text, errorType = 'error')\n self.errors.terminate(self.errorCode)", "metadata": "root.pipelineErrors.missingNodeIdForPipelineTask", "header": "['class', 'pipelineErrors', ':', '___NEWLINE___', '___NL___', '# Initialise.', '___NL___', '___EOS___']", "index": 237 }, { "content": " def invalidNodeForExternalPipeline(self, pipeline, nodeType, nodeId, task, externalPipeline, externalNodeId):\n if not externalPipeline: externalPipeline = 'bob'\n self.text.append('Invalid external node id in configuration file node.')\n self.text.append('The configuration file for the \\'' + pipeline + '\\' pipeline contains a node with id \\'' + nodeId + '\\' in the \\'' + \\\n nodeType + ' graph nodes\\' section. This node connects with the task \\'' + task + '\\', which is a task that itself runs the pipeline ' + \\\n '\\'' + externalPipeline + '\\'. The node id \\'' + externalNodeId + '\\' is supplied as the node within the external pipeline with which ' + \\\n 'to connect, but this is not a valid node for the pipeline. Please check that all information in the configuration file is correct.')\n self.errors.writeFormattedText(self.text, errorType = 'error')\n self.errors.terminate(self.errorCode)", "metadata": "root.pipelineErrors.invalidNodeForExternalPipeline", "header": "['class', 'pipelineErrors', ':', '___NEWLINE___', '___NL___', '# Initialise.', '___NL___', '___EOS___']", "index": 247 }, { "content": " def externalNodeForTask(self, pipeline, nodeType, nodeId, task, externalNodeId):\n self.text.append('Invalid external node id in configuration file node.')\n self.text.append('The configuration file for the \\'' + pipeline + '\\' pipeline contains a node with id \\'' + nodeId + '\\' in the \\'' + \\\n nodeType + ' graph nodes\\' section. This node connects with the task \\'' + task + '\\', which is a task that runs a tool. When this ' + \\\n 'is the case, the \\'task argument\\' field must also be present to define which of the tools arguments this node connects with. Instead, ' + \\\n 'the \\'node id\\' field has been provided. This is only valid for tasks that themselves run pipelines.')\n self.errors.writeFormattedText(self.text, errorType = 'error')\n self.errors.terminate(self.errorCode)", "metadata": "root.pipelineErrors.externalNodeForTask", "header": "['class', 'pipelineErrors', ':', '___NEWLINE___', '___NL___', '# Initialise.', '___NL___', '___EOS___']", "index": 258 }, { "content": " def invalidTaskInNode(self, pipeline, nodeType, nodeId, task):\n self.text.append('Invalid task in configuration file node.')\n self.text.append('The configuration file for the \\'' + pipeline + '\\' pipeline contains a node with id \\'' + nodeId + '\\' in the \\'' + \\\n nodeType + ' graph nodes\\' section. Within this node, the task \\'' + task + '\\' is used, but this task has not been defined in the ' + \\\n '\\'pipeline tasks\\' section of the configuration file and consequently is not valid. Please check that all tasks in the configuration ' + \\\n 'file are valid for the pipeline.')\n self.errors.writeFormattedText(self.text, errorType = 'error')\n self.errors.terminate(self.errorCode)", "metadata": "root.pipelineErrors.invalidTaskInNode", "header": "['class', 'pipelineErrors', ':', '___NEWLINE___', '___NL___', '# Initialise.', '___NL___', '___EOS___']", "index": 268 }, { "content": " def invalidToolArgument(self, pipeline, nodeType, nodeId, task, tool, argument):\n self.text.append('Invalid tool argument.')\n self.text.append('The configuration file for the \\'' + pipeline + '\\' pipeline contains a node with id \\'' + nodeId + '\\' in the \\'' + \\\n nodeType + ' graph nodes\\' section. Within this node, the task \\'' + task + '\\' which uses the tool \\'' + tool + '\\' is associated ' + \\\n 'with the argument \\'' + argument + '\\', but this argument is not valid for the tool. Please check that all of the tool arguments ' + \\\n 'in the pipeline configuration file are valid for the tools they are linked to.')\n self.errors.writeFormattedText(self.text, errorType = 'error')\n self.errors.terminate(self.errorCode)", "metadata": "root.pipelineErrors.invalidToolArgument", "header": "['class', 'pipelineErrors', ':', '___NEWLINE___', '___NL___', '# Initialise.', '___NL___', '___EOS___']", "index": 278 }, { "content": " def repeatedNodeId(self, helpInfo):\n self.text.append('Repeated pipeline node id.')\n self.text.append('The configuration file for the pipeline \\'' + helpInfo[0] + '\\' contains a node in the \\'' + helpInfo[1] + '\\' section ' + \\\n 'with the same id (' + helpInfo[2] + ') as another node in the pipeline. All nodes must have unique ids in order to construct the ' + \\\n 'pipeline graph. Please ensure that all nodes defined in the configuration file are unique.')\n self.errors.writeFormattedText(self.text, errorType = 'error')\n self.errors.terminate(self.errorCode)", "metadata": "root.pipelineErrors.repeatedNodeId", "header": "['class', 'pipelineErrors', ':', '___NEWLINE___', '___NL___', '# Initialise.', '___NL___', '___EOS___']", "index": 288 }, { "content": " def nodeIdIsTaskId(self, nodeType, helpInfo):\n self.text.append('Configuration file node has the same id as a task.')\n self.text.append('A node in the \\'' + helpInfo[1] + '\\' section of the pipeline configuration file for pipeline \\'' + helpInfo[0] + \\\n '\\' has the id \\'' + helpInfo[2] + '\\'. This is the same id as a task defined in the \\'pipeline tasks\\' section. All the node ids ' + \\\n 'in the configuration file (across all task, unique nodes and shared nodes) must be unique. Please update the ids to ensure that they ' + \\\n 'are all unique.')\n self.errors.writeFormattedText(self.text, errorType = 'error')\n self.errors.terminate(self.errorCode)", "metadata": "root.pipelineErrors.nodeIdIsTaskId", "header": "['class', 'pipelineErrors', ':', '___NEWLINE___', '___NL___', '# Initialise.', '___NL___', '___EOS___']", "index": 297 }, { "content": " def invalidNodeConnection(self, source, target, text):\n self.text.append('Error with node connections.')\n self.text.append('In the \\'connect nodes\\' section of the pipeline configuration file, a connection is defined between the nodes \\'' + \\\n source + '\\' and \\'' + target + '\\'. The ' + text + ' node is not a valid node in the graph. Please ensure that all of the connections ' + \\\n 'are defined between a valid pair of graph nodes.')\n self.errors.writeFormattedText(self.text, errorType = 'error')\n self.errors.terminate(self.errorCode)", "metadata": "root.pipelineErrors.invalidNodeConnection", "header": "['class', 'pipelineErrors', ':', '___NEWLINE___', '___NL___', '# Initialise.', '___NL___', '___EOS___']", "index": 311 }, { "content": " def noOutputStreamArgument(self, task, tool):\n self.text.append('Error with output stream.')\n self.text.append('The task \\'' + task + '\\', using the tool \\'' + tool + '\\' is marked as outputting to a stream in the \\'pipeline ' + \\\n 'tasks\\' section of the configuration file, but no output arguments are identified with streaming outputs. Please check that this task is ' + \\\n 'supposed to be outputting to a stream and if so, ensure that one of the output arguments in the tool configuration file has instructions ' + \\\n 'on how to be handled if the output is a stream.')\n self.errors.writeFormattedText(self.text, errorType = 'error')\n self.errors.terminate(self.errorCode)", "metadata": "root.pipelineErrors.noOutputStreamArgument", "header": "['class', 'pipelineErrors', ':', '___NEWLINE___', '___NL___', '# Initialise.', '___NL___', '___EOS___']", "index": 325 }, { "content": " def noStreamInstructions(self, task, tool, inputTask, inputTool):\n self.text.append('Error with streaming files.')\n self.text.append('The task \\'' + task + '\\', using the tool \\'' + tool + '\\' is marked as outputting to a stream in the \\'pipeline ' + \\\n 'tasks\\' section of the configuration file and the task \\'' + inputTask + '\\', using the tool \\'' + inputTool + '\\' accepts the stream as ' + \\\n 'input. There are no input arguments for the \\'' + inputTask + '\\' task that have instructions on how to use a stream as input. Please check ' + \\\n 'that the correct task is marked as accepting a stream, and ensure that an input argument in it\\'s tool configuration file has instructions ' + \\\n 'on how to modify the argument to handle a streaming input.')\n self.errors.writeFormattedText(self.text, errorType = 'error')\n self.errors.terminate(self.errorCode)", "metadata": "root.pipelineErrors.noStreamInstructions", "header": "['class', 'pipelineErrors', ':', '___NEWLINE___', '___NL___', '# Initialise.', '___NL___', '___EOS___']", "index": 336 }, { "content": " def noNodeAcceptingStream(self, task, tool):\n self.text.append('Error with streaming files.')\n self.text.append('The task \\'' + task + '\\', using the tool \\'' + tool + '\\' is marked as outputting to a stream in the \\'pipeline ' + \\\n 'tasks\\' section of the configuration file, but no tasks are marked as accepting a stream. Since a task is outputting to a stream, ' + \\\n 'another task (by convention, the next task in the list) must be able to accept the stream as input. This is achieved by including the ' + \\\n '\\'\"input is stream\" : true\\' field in the \\'pipeline tasks\\' section for the task that will accept a streaming input. Please ensure that ' + \\\n 'this is the case.')\n self.errors.writeFormattedText(self.text, errorType = 'error')\n self.errors.terminate(self.errorCode)", "metadata": "root.pipelineErrors.noNodeAcceptingStream", "header": "['class', 'pipelineErrors', ':', '___NEWLINE___', '___NL___', '# Initialise.', '___NL___', '___EOS___']", "index": 348 } ]

[ { "span": "import inspect", "start_line": 4, "start_column": 0, "end_line": 4, "end_column": 14 }, { "span": "from inspect import currentframe, getframeinfo", "start_line": 5, "start_column": 0, "end_line": 5, "end_column": 46 }, { "span": "import os", "start_line": 10, "start_column": 0, "end_line": 10, "end_column": 9 }, { "span": "import sys", "start_line": 11, "start_column": 0, "end_line": 11, "end_column": 10 } ]

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[ { "content": "import sys\nimport mock\nimport random\nfrom azure.common import AzureMissingResourceHttpError\nfrom collections import namedtuple\nfrom datetime import datetime\nfrom mock import patch\nfrom test_helper import *\n\nfrom azurectl.account.service import AzureAccount\nfrom azurectl.azurectl_exceptions import *\nfrom azurectl.config.parser import Config\nfrom azurectl.instance.data_disk import DataDisk\n\nimport azurectl\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class TestDataDisk:\n\n\n\n\n\n\n\n\n\n\n\n\n\n", "metadata": "root.TestDataDisk", "header": "['module', '___EOS___']", "index": 17 }, { "content": " def setup(self):\n # construct an account\n account = AzureAccount(\n Config(\n region_name='East US 2', filename='../data/config'\n )\n )\n self.service = mock.Mock()\n account.get_management_service = mock.Mock(return_value=self.service)\n account.get_blob_service_host_base = mock.Mock(\n return_value='test.url'\n )\n account.storage_key = mock.Mock()\n # now that that's done, instantiate a DataDisk with the account\n self.data_disk = DataDisk(account)\n # asynchronous API operations return a request object\n self.my_request = mock.Mock(request_id=42)\n # variables used in multiple tests\n self.cloud_service_name = 'mockcloudservice'\n self.instance_name = 'mockcloudserviceinstance1'\n self.lun = 0\n self.host_caching = 'ReadWrite'\n self.disk_filename = 'mockcloudserviceinstance1-data-disk-0.vhd'\n self.disk_url = (\n 'https://' +\n account.storage_name() +\n '.blob.' +\n account.get_blob_service_host_base() + '/' +\n account.storage_container() + '/' +\n self.disk_filename\n )\n self.disk_label = 'Mock data disk'\n self.disk_size = 42\n self.timestamp = datetime.utcnow()\n self.time_string = datetime.isoformat(self.timestamp)", "metadata": "root.TestDataDisk.setup", "header": "['class', 'TestDataDisk', ':', '___EOS___']", "index": 18 }, { "content": " def create_mock_data_disk(self, lun):\n return mock.Mock(\n host_caching=self.host_caching,\n disk_label=self.disk_label,\n disk_name='',\n lun=lun,\n logical_disk_size_in_gb=self.disk_size,\n media_link=self.disk_url,\n source_media_link=''\n )", "metadata": "root.TestDataDisk.create_mock_data_disk", "header": "['class', 'TestDataDisk', ':', '___EOS___']", "index": 54 }, { "content": " def create_expected_data_disk_output(self, lun):\n return {\n 'size': '%d GB' % self.disk_size,\n 'label': self.disk_label,\n 'disk-url': self.disk_url,\n 'source-image-url': '',\n 'lun': lun,\n 'host-caching': 'ReadWrite'\n }", "metadata": "root.TestDataDisk.create_expected_data_disk_output", "header": "['class', 'TestDataDisk', ':', '___EOS___']", "index": 65 }, { "content": " def test_create(self):\n # given\n self.service.add_data_disk.return_value = self.my_request\n # when\n result = self.data_disk.create(\n self.cloud_service_name,\n self.instance_name,\n self.disk_size,\n lun=self.lun,\n host_caching=self.host_caching,\n filename=self.disk_filename,\n label=self.disk_label\n )\n # then\n assert result == self.my_request.request_id\n self.service.add_data_disk.assert_called_once_with(\n self.cloud_service_name,\n self.instance_name,\n self.cloud_service_name,\n self.lun,\n host_caching=self.host_caching,\n media_link=self.disk_url,\n disk_label=self.disk_label,\n logical_disk_size_in_gb=self.disk_size\n )", "metadata": "root.TestDataDisk.test_create", "header": "['class', 'TestDataDisk', ':', '___EOS___']", "index": 75 }, { "content": " @raises(AzureDataDiskCreateError)\n def test_create_upstream_exception(self):\n # given\n self.service.add_data_disk.side_effect = Exception\n # when\n self.data_disk.create(\n self.cloud_service_name,\n self.instance_name,\n self.disk_size,\n lun=self.lun,\n host_caching=self.host_caching,\n filename=self.disk_filename,\n label=self.disk_label\n )", "metadata": "root.TestDataDisk.test_create_upstream_exception", "header": "['class', 'TestDataDisk', ':', '___EOS___']", "index": 101 }, { "content": " def test_get_first_available_lun(self):\n # given\n self.service.get_data_disk.side_effect = iter([\n self.create_mock_data_disk(0),\n self.create_mock_data_disk(1),\n AzureMissingResourceHttpError('NOT FOUND', 404)\n ])\n # when\n result = self.data_disk._DataDisk__get_first_available_lun(\n self.cloud_service_name,\n self.instance_name\n )\n # then\n assert self.service.get_data_disk.call_count == 3\n assert result == 2 # 0 and 1 are taken", "metadata": "root.TestDataDisk.test_get_first_available_lun", "header": "['class', 'TestDataDisk', ':', '___EOS___']", "index": 116 }, { "content": " @raises(AzureDataDiskNoAvailableLun)\n def test_no_available_lun_exception(self):\n # given\n self.service.get_data_disk.side_effect = iter([\n self.create_mock_data_disk(i) for i in range(16)\n ])\n # when\n self.data_disk._DataDisk__get_first_available_lun(\n self.cloud_service_name,\n self.instance_name\n )\n # then\n assert self.service.get_data_disk.call_count == 16", "metadata": "root.TestDataDisk.test_no_available_lun_exception", "header": "['class', 'TestDataDisk', ':', '___EOS___']", "index": 132 }, { "content": " @patch('azurectl.instance.data_disk.DataDisk._DataDisk__get_first_available_lun')\n def test_create_without_lun(self, mock_lun):\n # given\n self.service.add_data_disk.return_value = self.my_request\n mock_lun.return_value = 0\n # when\n result = self.data_disk.create(\n self.cloud_service_name,\n self.instance_name,\n self.disk_size,\n # lun=self.lun,\n host_caching=self.host_caching,\n filename=self.disk_filename,\n label=self.disk_label\n )\n # then\n self.service.add_data_disk.assert_called_once_with(\n self.cloud_service_name,\n self.instance_name,\n self.cloud_service_name,\n 0,\n host_caching=self.host_caching,\n media_link=self.disk_url,\n disk_label=self.disk_label,\n logical_disk_size_in_gb=self.disk_size\n )", "metadata": "root.TestDataDisk.test_create_without_lun", "header": "['class', 'TestDataDisk', ':', '___EOS___']", "index": 146 }, { "content": " @patch('azurectl.instance.data_disk.datetime')\n def test_generate_filename(self, mock_timestamp):\n # given\n mock_timestamp.utcnow = mock.Mock(return_value=self.timestamp)\n mock_timestamp.isoformat = mock.Mock(return_value=self.time_string)\n expected = '%s-data-disk-%s.vhd' % (\n self.instance_name,\n self.time_string\n )\n # when\n result = self.data_disk._DataDisk__generate_filename(self.instance_name)\n # then\n assert result == expected", "metadata": "root.TestDataDisk.test_generate_filename", "header": "['class', 'TestDataDisk', ':', '___EOS___']", "index": 173 }, { "content": " @patch('azurectl.instance.data_disk.DataDisk._DataDisk__generate_filename')\n def test_create_without_filename(self, mock_generate_filename):\n # given\n self.service.add_data_disk.return_value = self.my_request\n mock_generate_filename.return_value = self.disk_filename\n # when\n result = self.data_disk.create(\n self.cloud_service_name,\n self.instance_name,\n self.disk_size,\n lun=self.lun,\n host_caching=self.host_caching,\n # filename=self.disk_filename,\n label=self.disk_label\n )\n # then\n self.service.add_data_disk.assert_called_once_with(\n self.cloud_service_name,\n self.instance_name,\n self.cloud_service_name,\n self.lun,\n host_caching=self.host_caching,\n media_link=self.disk_url,\n disk_label=self.disk_label,\n logical_disk_size_in_gb=self.disk_size\n )", "metadata": "root.TestDataDisk.test_create_without_filename", "header": "['class', 'TestDataDisk', ':', '___EOS___']", "index": 187 }, { "content": " def test_show(self):\n # given\n self.service.get_data_disk.return_value = self.create_mock_data_disk(\n self.lun\n )\n expected = self.create_expected_data_disk_output(self.lun)\n # when\n result = self.data_disk.show(\n self.cloud_service_name,\n self.instance_name,\n self.lun\n )\n # then\n self.service.get_data_disk.assert_called_once_with(\n self.cloud_service_name,\n self.instance_name,\n self.cloud_service_name,\n self.lun\n )\n assert result == expected", "metadata": "root.TestDataDisk.test_show", "header": "['class', 'TestDataDisk', ':', '___EOS___']", "index": 214 }, { "content": " @raises(AzureDataDiskShowError)\n def test_show_upsteam_exception(self):\n # given\n self.service.get_data_disk.side_effect = Exception\n # when\n self.data_disk.show(\n self.cloud_service_name,\n self.instance_name,\n self.lun\n )", "metadata": "root.TestDataDisk.test_show_upsteam_exception", "header": "['class', 'TestDataDisk', ':', '___EOS___']", "index": 235 }, { "content": " def test_delete(self):\n # given\n self.service.delete_data_disk.return_value = self.my_request\n # when\n result = self.data_disk.delete(\n self.cloud_service_name,\n self.instance_name,\n self.lun\n )\n # then\n self.service.delete_data_disk.assert_called_once_with(\n self.cloud_service_name,\n self.instance_name,\n self.cloud_service_name,\n self.lun,\n delete_vhd=True\n )\n assert result == self.my_request.request_id", "metadata": "root.TestDataDisk.test_delete", "header": "['class', 'TestDataDisk', ':', '___EOS___']", "index": 246 }, { "content": " @raises(AzureDataDiskDeleteError)\n def test_delete_with_upstream_exception(self):\n # given\n self.service.delete_data_disk.side_effect = Exception\n # when\n self.data_disk.delete(\n self.cloud_service_name,\n self.instance_name,\n self.lun\n )", "metadata": "root.TestDataDisk.test_delete_with_upstream_exception", "header": "['class', 'TestDataDisk', ':', '___EOS___']", "index": 265 }, { "content": " def test_list(self):\n # given\n number_of_disks = random.randint(0, 15)\n luns = random.sample(range(16), number_of_disks)\n luns.sort()\n mock_disk_set = [AzureMissingResourceHttpError('NOT FOUND', 404)] * 16\n expected_result = []\n for lun in luns:\n mock_disk_set[lun] = self.create_mock_data_disk(lun)\n expected_result.append(self.create_expected_data_disk_output(lun))\n self.service.get_data_disk.side_effect = iter(mock_disk_set)\n # when\n result = self.data_disk.list(\n self.cloud_service_name,\n self.instance_name\n )\n # then\n assert result == expected_result", "metadata": "root.TestDataDisk.test_list", "header": "['class', 'TestDataDisk', ':', '___EOS___']", "index": 276 } ]

[ { "span": "import sys", "start_line": 0, "start_column": 0, "end_line": 0, "end_column": 10 }, { "span": "from collections import namedtuple", "start_line": 4, "start_column": 0, "end_line": 4, "end_column": 34 }, { "span": "import azurectl", "start_line": 14, "start_column": 0, "end_line": 14, "end_column": 15 } ]

[]

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2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2 ]

[ { "content": " def test_mgr_replace(self):\n sg = self.scaling_group\n mgr = sg.manager\n mgr.get = Mock(return_value=sg)\n uri = \"/%s/%s/config\" % (mgr.uri_base, sg.id)\n sg.name = utils.random_unicode()\n sg.cooldown = utils.random_unicode()\n sg.min_entities = utils.random_unicode()\n sg.max_entities = utils.random_unicode()\n metadata = utils.random_unicode()\n\n new_name = utils.random_unicode()\n new_cooldown = utils.random_unicode()\n new_min = utils.random_unicode()\n new_max = utils.random_unicode()\n mgr.api.method_put = Mock(return_value=(None, None))\n expected_body = {\n \"name\": new_name,\n \"cooldown\": new_cooldown,\n \"minEntities\": new_min,\n \"maxEntities\": new_max,\n \"metadata\": {}\n }\n mgr.replace(sg.id, new_name, new_cooldown, new_min, new_max)\n mgr.api.method_put.assert_called_once_with(uri, body=expected_body)", "metadata": "root.AutoscaleTest.test_mgr_replace", "header": "['class', 'AutoscaleTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 386 }, { "content": " def test_mgr_update_launch_config(self):\n sg = self.scaling_group\n mgr = sg.manager\n mgr.get = Mock(return_value=sg)\n typ = utils.random_unicode()\n lbs = utils.random_unicode()\n name = utils.random_unicode()\n flv = utils.random_unicode()\n img = utils.random_unicode()\n dconfig = utils.random_unicode()\n metadata = utils.random_unicode()\n personality = utils.random_unicode()\n networks = utils.random_unicode()\n sg.launchConfiguration = {}\n body = {\"type\": \"launch_server\",\n \"args\": {\n \"server\": {\n \"name\": name,\n \"imageRef\": img,\n \"flavorRef\": flv,\n \"OS-DCF:diskConfig\": dconfig,\n \"personality\": mgr._encode_personality(personality),\n \"networks\": networks,\n \"metadata\": metadata,\n },\n \"loadBalancers\": lbs,\n },\n }\n mgr.api.method_put = Mock(return_value=(None, None))\n uri = \"/%s/%s/launch\" % (mgr.uri_base, sg.id)\n mgr.update_launch_config(sg.id, server_name=name, flavor=flv, image=img,\n disk_config=dconfig, metadata=metadata,\n personality=personality, networks=networks, load_balancers=lbs)\n mgr.api.method_put.assert_called_once_with(uri, body=body)", "metadata": "root.AutoscaleTest.test_mgr_update_launch_config", "header": "['class', 'AutoscaleTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 472 }, { "content": " def test_mgr_update_launch_config_unset_personality(self):\n sg = self.scaling_group\n mgr = sg.manager\n mgr.get = Mock(return_value=sg)\n typ = utils.random_unicode()\n lbs = utils.random_unicode()\n name = utils.random_unicode()\n flv = utils.random_unicode()\n img = utils.random_unicode()\n dconfig = utils.random_unicode()\n metadata = utils.random_unicode()\n personality = [{\n \"path\": \"/foo/bar\",\n \"contents\": \"cHlyYXg=\"\n }]\n networks = utils.random_unicode()\n sg.launchConfiguration = {\n \"type\": \"launch_server\",\n \"args\": {\n \"server\": {\n \"name\": name,\n \"imageRef\": img,\n \"flavorRef\": flv,\n \"OS-DCF:diskConfig\": dconfig,\n \"personality\": personality,\n \"networks\": networks,\n \"metadata\": metadata,\n },\n \"loadBalancers\": lbs,\n },\n }\n body = {\n \"type\": \"launch_server\",\n \"args\": {\n \"server\": {\n \"name\": name,\n \"imageRef\": img,\n \"flavorRef\": flv,\n \"OS-DCF:diskConfig\": dconfig,\n \"networks\": networks,\n \"metadata\": metadata,\n },\n \"loadBalancers\": lbs,\n },\n }\n mgr.api.method_put = Mock(return_value=(None, None))\n uri = \"/%s/%s/launch\" % (mgr.uri_base, sg.id)\n mgr.update_launch_config(sg.id, server_name=name, flavor=flv, image=img,\n disk_config=dconfig, metadata=metadata,\n personality=[], networks=networks, load_balancers=lbs)\n mgr.api.method_put.assert_called_once_with(uri, body=body)", "metadata": "root.AutoscaleTest.test_mgr_update_launch_config_unset_personality", "header": "['class', 'AutoscaleTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 507 }, { "content": " def test_mgr_update_launch_config_no_personality(self):\n sg = self.scaling_group\n mgr = sg.manager\n mgr.get = Mock(return_value=sg)\n typ = utils.random_unicode()\n lbs = utils.random_unicode()\n name = utils.random_unicode()\n flv = utils.random_unicode()\n img = utils.random_unicode()\n dconfig = utils.random_unicode()\n metadata = utils.random_unicode()\n networks = utils.random_unicode()\n sg.launchConfiguration = {}\n body = {\"type\": \"launch_server\",\n \"args\": {\n \"server\": {\n \"name\": name,\n \"imageRef\": img,\n \"flavorRef\": flv,\n \"OS-DCF:diskConfig\": dconfig,\n \"networks\": networks,\n \"metadata\": metadata,\n },\n \"loadBalancers\": lbs,\n },\n }\n mgr.api.method_put = Mock(return_value=(None, None))\n uri = \"/%s/%s/launch\" % (mgr.uri_base, sg.id)\n mgr.update_launch_config(sg.id, server_name=name, flavor=flv, image=img,\n disk_config=dconfig, metadata=metadata,\n networks=networks, load_balancers=lbs)\n mgr.api.method_put.assert_called_once_with(uri, body=body)", "metadata": "root.AutoscaleTest.test_mgr_update_launch_config_no_personality", "header": "['class', 'AutoscaleTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 559 }, { "content": " def test_mgr_update_launch_config_no_metadata(self):\n sg = self.scaling_group\n mgr = sg.manager\n mgr.get = Mock(return_value=sg)\n typ = utils.random_unicode()\n lbs = utils.random_unicode()\n name = utils.random_unicode()\n flv = utils.random_unicode()\n img = utils.random_unicode()\n dconfig = utils.random_unicode()\n networks = utils.random_unicode()\n sg.launchConfiguration = {}\n body = {\"type\": \"launch_server\",\n \"args\": {\n \"server\": {\n \"name\": name,\n \"imageRef\": img,\n \"flavorRef\": flv,\n \"OS-DCF:diskConfig\": dconfig,\n \"networks\": networks,\n },\n \"loadBalancers\": lbs,\n },\n }\n mgr.api.method_put = Mock(return_value=(None, None))\n uri = \"/%s/%s/launch\" % (mgr.uri_base, sg.id)\n mgr.update_launch_config(sg.id, server_name=name, flavor=flv, image=img,\n disk_config=dconfig, networks=networks, load_balancers=lbs)\n mgr.api.method_put.assert_called_once_with(uri, body=body)", "metadata": "root.AutoscaleTest.test_mgr_update_launch_config_no_metadata", "header": "['class', 'AutoscaleTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 592 }, { "content": " def test_mgr_update_launch_config_key_name(self):\n sg = self.scaling_group\n mgr = sg.manager\n mgr.get = Mock(return_value=sg)\n typ = utils.random_unicode()\n lbs = utils.random_unicode()\n name = utils.random_unicode()\n flv = utils.random_unicode()\n img = utils.random_unicode()\n dconfig = utils.random_unicode()\n metadata = utils.random_unicode()\n personality = utils.random_unicode()\n networks = utils.random_unicode()\n key_name = utils.random_unicode()\n sg.launchConfiguration = {}\n body = {\"type\": \"launch_server\",\n \"args\": {\n \"server\": {\n \"name\": name,\n \"imageRef\": img,\n \"flavorRef\": flv,\n \"OS-DCF:diskConfig\": dconfig,\n \"networks\": networks,\n \"metadata\": metadata,\n \"key_name\": key_name,\n \"personality\": mgr._encode_personality(personality),\n },\n \"loadBalancers\": lbs,\n },\n }\n mgr.api.method_put = Mock(return_value=(None, None))\n uri = \"/%s/%s/launch\" % (mgr.uri_base, sg.id)\n mgr.update_launch_config(sg.id, server_name=name, flavor=flv, image=img,\n disk_config=dconfig, metadata=metadata,\n personality=personality, networks=networks, load_balancers=lbs,\n key_name=key_name)\n mgr.api.method_put.assert_called_once_with(uri, body=body)", "metadata": "root.AutoscaleTest.test_mgr_update_launch_config_key_name", "header": "['class', 'AutoscaleTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 622 }, { "content": " def test_mgr_list_policies(self):\n sg = self.scaling_group\n mgr = sg.manager\n ret_body = {\"policies\": [{}]}\n mgr.api.method_get = Mock(return_value=(None, ret_body))\n uri = \"/%s/%s/policies\" % (mgr.uri_base, sg.id)\n ret = mgr.list_policies(sg)\n mgr.api.method_get.assert_called_once_with(uri)", "metadata": "root.AutoscaleTest.test_mgr_list_policies", "header": "['class', 'AutoscaleTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 794 }, { "content": " def test_mgr_replace_policy(self):\n sg = self.scaling_group\n mgr = sg.manager\n pol_id = utils.random_unicode()\n info = {\n \"name\": utils.random_unicode(),\n \"type\": utils.random_unicode(),\n \"cooldown\": utils.random_unicode(),\n \"change\": utils.random_unicode(),\n \"args\": utils.random_unicode(),\n }\n policy = fakes.FakeAutoScalePolicy(mgr, info, sg)\n mgr.get_policy = Mock(return_value=policy)\n\n new_name = utils.random_unicode()\n new_type = utils.random_unicode()\n new_cooldown = utils.random_unicode()\n new_change_percent = utils.random_unicode()\n\n mgr.api.method_put = Mock(return_value=(None, None))\n uri = \"/%s/%s/policies/%s\" % (mgr.uri_base, sg.id, pol_id)\n expected = {\n \"name\": new_name,\n \"type\": new_type,\n \"cooldown\": new_cooldown,\n \"changePercent\": new_change_percent,\n }\n ret = mgr.replace_policy(sg, pol_id, name=new_name,\n policy_type=new_type, cooldown=new_cooldown,\n change=new_change_percent, is_percent=True)\n mgr.api.method_put.assert_called_with(uri, body=expected)", "metadata": "root.AutoscaleTest.test_mgr_replace_policy", "header": "['class', 'AutoscaleTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 814 }, { "content": " def test_mgr_update_policy(self):\n sg = self.scaling_group\n mgr = sg.manager\n pol = utils.random_unicode()\n name = utils.random_unicode()\n ptype = utils.random_unicode()\n cooldown = utils.random_unicode()\n change = utils.random_unicode()\n args = utils.random_unicode()\n mgr.get_policy = Mock(return_value=fakes.FakeAutoScalePolicy(mgr, {},\n sg))\n mgr.api.method_put = Mock(return_value=(None, None))\n uri = \"/%s/%s/policies/%s\" % (mgr.uri_base, sg.id, pol)\n for is_percent in (True, False):\n put_body = {\"name\": name, \"cooldown\": cooldown, \"type\": ptype,\n \"args\": args}\n if is_percent:\n put_body[\"changePercent\"] = change\n else:\n put_body[\"change\"] = change\n ret = mgr.update_policy(sg, pol, name=name, policy_type=ptype,\n cooldown=cooldown, change=change, is_percent=is_percent,\n args=args)\n mgr.api.method_put.assert_called_with(uri, body=put_body)", "metadata": "root.AutoscaleTest.test_mgr_update_policy", "header": "['class', 'AutoscaleTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 846 }, { "content": " def test_mgr_update_policy_desired_to_desired(self):\n sg = self.scaling_group\n mgr = sg.manager\n pol = utils.random_unicode()\n name = utils.random_unicode()\n ptype = utils.random_unicode()\n cooldown = utils.random_unicode()\n change = utils.random_unicode()\n args = utils.random_unicode()\n new_desired_capacity = 10\n old_info = {\"desiredCapacity\": 0}\n mgr.get_policy = Mock(\n return_value=fakes.FakeAutoScalePolicy(mgr, old_info, sg))\n mgr.api.method_put = Mock(return_value=(None, None))\n uri = \"/%s/%s/policies/%s\" % (mgr.uri_base, sg.id, pol)\n put_body = {\"name\": name, \"cooldown\": cooldown, \"type\": ptype,\n \"desiredCapacity\": new_desired_capacity}\n ret = mgr.update_policy(sg, pol, name=name, policy_type=ptype,\n cooldown=cooldown, desired_capacity=new_desired_capacity)\n mgr.api.method_put.assert_called_with(uri, body=put_body)", "metadata": "root.AutoscaleTest.test_mgr_update_policy_desired_to_desired", "header": "['class', 'AutoscaleTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 871 }, { "content": " def test_mgr_update_policy_change_to_desired(self):\n sg = self.scaling_group\n mgr = sg.manager\n pol = utils.random_unicode()\n name = utils.random_unicode()\n ptype = utils.random_unicode()\n cooldown = utils.random_unicode()\n change = utils.random_unicode()\n args = utils.random_unicode()\n new_desired_capacity = 10\n old_info = {\"change\": -1}\n mgr.get_policy = Mock(\n return_value=fakes.FakeAutoScalePolicy(mgr, old_info, sg))\n mgr.api.method_put = Mock(return_value=(None, None))\n uri = \"/%s/%s/policies/%s\" % (mgr.uri_base, sg.id, pol)\n put_body = {\"name\": name, \"cooldown\": cooldown, \"type\": ptype,\n \"desiredCapacity\": new_desired_capacity}\n ret = mgr.update_policy(sg, pol, name=name, policy_type=ptype,\n cooldown=cooldown, desired_capacity=new_desired_capacity)\n mgr.api.method_put.assert_called_with(uri, body=put_body)", "metadata": "root.AutoscaleTest.test_mgr_update_policy_change_to_desired", "header": "['class', 'AutoscaleTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 892 }, { "content": " def test_mgr_update_policy_desired_to_change(self):\n sg = self.scaling_group\n mgr = sg.manager\n pol = utils.random_unicode()\n name = utils.random_unicode()\n ptype = utils.random_unicode()\n cooldown = utils.random_unicode()\n change = utils.random_unicode()\n args = utils.random_unicode()\n new_change = 1\n old_info = {\"desiredCapacity\": 0}\n mgr.get_policy = Mock(\n return_value=fakes.FakeAutoScalePolicy(mgr, old_info, sg))\n mgr.api.method_put = Mock(return_value=(None, None))\n uri = \"/%s/%s/policies/%s\" % (mgr.uri_base, sg.id, pol)\n put_body = {\"name\": name, \"cooldown\": cooldown, \"type\": ptype,\n \"change\": new_change}\n ret = mgr.update_policy(sg, pol, name=name, policy_type=ptype,\n cooldown=cooldown, change=new_change)\n mgr.api.method_put.assert_called_with(uri, body=put_body)", "metadata": "root.AutoscaleTest.test_mgr_update_policy_desired_to_change", "header": "['class', 'AutoscaleTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 913 }, { "content": " def test_mgr_update_policy_maintain_desired_capacity(self):\n sg = self.scaling_group\n mgr = sg.manager\n pol = utils.random_unicode()\n name = utils.random_unicode()\n ptype = utils.random_unicode()\n cooldown = utils.random_unicode()\n change = utils.random_unicode()\n args = utils.random_unicode()\n new_name = utils.random_unicode()\n old_capacity = 0\n old_info = {\n \"type\": ptype,\n \"desiredCapacity\": old_capacity,\n \"cooldown\": cooldown,\n }\n mgr.get_policy = Mock(\n return_value=fakes.FakeAutoScalePolicy(mgr, old_info, sg))\n mgr.api.method_put = Mock(return_value=(None, None))\n uri = \"/%s/%s/policies/%s\" % (mgr.uri_base, sg.id, pol)\n put_body = {\"name\": new_name, \"cooldown\": cooldown, \"type\": ptype,\n \"desiredCapacity\": old_capacity}\n ret = mgr.update_policy(sg, pol, name=new_name)\n mgr.api.method_put.assert_called_with(uri, body=put_body)", "metadata": "root.AutoscaleTest.test_mgr_update_policy_maintain_desired_capacity", "header": "['class', 'AutoscaleTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 934 }, { "content": " def test_mgr_update_policy_maintain_is_percent(self):\n sg = self.scaling_group\n mgr = sg.manager\n pol = utils.random_unicode()\n name = utils.random_unicode()\n ptype = utils.random_unicode()\n cooldown = utils.random_unicode()\n new_name = utils.random_unicode()\n old_percent = 10\n old_info = {\n \"type\": ptype,\n \"changePercent\": old_percent,\n \"cooldown\": cooldown,\n }\n mgr.get_policy = Mock(\n return_value=fakes.FakeAutoScalePolicy(mgr, old_info, sg))\n mgr.api.method_put = Mock(return_value=(None, None))\n uri = \"/%s/%s/policies/%s\" % (mgr.uri_base, sg.id, pol)\n put_body = {\"name\": new_name, \"cooldown\": cooldown, \"type\": ptype,\n \"changePercent\": old_percent}\n ret = mgr.update_policy(sg, pol, name=new_name)\n mgr.api.method_put.assert_called_with(uri, body=put_body)", "metadata": "root.AutoscaleTest.test_mgr_update_policy_maintain_is_percent", "header": "['class', 'AutoscaleTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 959 }, { "content": " def test_mgr_update_policy_maintain_is_absolute(self):\n sg = self.scaling_group\n mgr = sg.manager\n pol = utils.random_unicode()\n name = utils.random_unicode()\n ptype = utils.random_unicode()\n cooldown = utils.random_unicode()\n change = utils.random_unicode()\n new_name = utils.random_unicode()\n old_change = 10\n old_info = {\n \"type\": ptype,\n \"change\": old_change,\n \"cooldown\": cooldown,\n }\n mgr.get_policy = Mock(\n return_value=fakes.FakeAutoScalePolicy(mgr, old_info, sg))\n mgr.api.method_put = Mock(return_value=(None, None))\n uri = \"/%s/%s/policies/%s\" % (mgr.uri_base, sg.id, pol)\n put_body = {\"name\": new_name, \"cooldown\": cooldown, \"type\": ptype,\n \"change\": old_change}\n ret = mgr.update_policy(sg, pol, name=new_name)\n mgr.api.method_put.assert_called_with(uri, body=put_body)", "metadata": "root.AutoscaleTest.test_mgr_update_policy_maintain_is_absolute", "header": "['class', 'AutoscaleTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 982 }, { "content": " def test_mgr_list_webhooks(self):\n sg = self.scaling_group\n mgr = sg.manager\n pol = fakes.FakeAutoScalePolicy(mgr, {}, sg)\n ret_body = {\"webhooks\": [{}]}\n mgr.api.method_get = Mock(return_value=(None, ret_body))\n mgr.get_policy = Mock(return_value=fakes.FakeAutoScalePolicy(mgr, {},\n sg))\n uri = \"/%s/%s/policies/%s/webhooks\" % (mgr.uri_base, sg.id, pol.id)\n ret = mgr.list_webhooks(sg, pol)\n mgr.api.method_get.assert_called_once_with(uri)", "metadata": "root.AutoscaleTest.test_mgr_list_webhooks", "header": "['class', 'AutoscaleTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 1040 }, { "content": " def test_mgr_replace_webhook(self):\n sg = self.scaling_group\n mgr = sg.manager\n pol = fakes.FakeAutoScalePolicy(mgr, {}, sg)\n hook = utils.random_unicode()\n info = {\"name\": utils.random_unicode(),\n \"metadata\": utils.random_unicode()}\n hook_obj = fakes.FakeAutoScaleWebhook(mgr, info, pol, sg)\n new_name = utils.random_unicode()\n new_metadata = utils.random_unicode()\n mgr.get_webhook = Mock(return_value=hook_obj)\n mgr.api.method_put = Mock(return_value=(None, None))\n uri = \"/%s/%s/policies/%s/webhooks/%s\" % (mgr.uri_base, sg.id, pol.id,\n hook)\n expected = {\"name\": new_name, \"metadata\": {}}\n ret = mgr.replace_webhook(sg, pol, hook, name=new_name)\n mgr.api.method_put.assert_called_with(uri, body=expected)", "metadata": "root.AutoscaleTest.test_mgr_replace_webhook", "header": "['class', 'AutoscaleTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 1065 }, { "content": " def test_mgr_update_webhook(self):\n sg = self.scaling_group\n mgr = sg.manager\n pol = fakes.FakeAutoScalePolicy(mgr, {}, sg)\n hook = utils.random_unicode()\n hook_obj = fakes.FakeAutoScaleWebhook(mgr, {}, pol, sg)\n name = utils.random_unicode()\n metadata = utils.random_unicode()\n mgr.get_webhook = Mock(return_value=hook_obj)\n mgr.api.method_put = Mock(return_value=(None, None))\n uri = \"/%s/%s/policies/%s/webhooks/%s\" % (mgr.uri_base, sg.id, pol.id,\n hook)\n put_body = {\"name\": name, \"metadata\": metadata}\n ret = mgr.update_webhook(sg, pol, hook, name=name, metadata=metadata)\n mgr.api.method_put.assert_called_with(uri, body=put_body)", "metadata": "root.AutoscaleTest.test_mgr_update_webhook", "header": "['class', 'AutoscaleTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 1083 }, { "content": " def test_mgr_update_webhook_metadata(self):\n sg = self.scaling_group\n mgr = sg.manager\n pol = fakes.FakeAutoScalePolicy(mgr, {}, sg)\n hook = utils.random_unicode()\n hook_obj = fakes.FakeAutoScaleWebhook(mgr, {}, pol, sg)\n hook_obj.metadata = {\"orig\": \"orig\"}\n metadata = {\"new\": \"new\"}\n expected = hook_obj.metadata.copy()\n expected.update(metadata)\n uri = \"/%s/%s/policies/%s/webhooks/%s\" % (mgr.uri_base, sg.id, pol.id,\n hook)\n mgr.update_webhook = Mock()\n mgr.get_webhook = Mock(return_value=hook_obj)\n mgr.update_webhook_metadata(sg, pol, hook, metadata)\n mgr.update_webhook.assert_called_once_with(sg, pol, hook_obj,\n metadata=expected)", "metadata": "root.AutoscaleTest.test_mgr_update_webhook_metadata", "header": "['class', 'AutoscaleTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 1099 } ]

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[ { "content": "# Copyright (C) 2014 Nippon Telegraph and Telephone Corporation.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or\n# implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n# vim: tabstop=4 shiftwidth=4 softtabstop=4\n\nimport unittest\nimport logging\nimport six\nimport socket\nfrom struct import *\nfrom nose.tools import *\nfrom ryu.ofproto.ofproto_v1_3_parser import *\nfrom ryu.ofproto import ofproto_v1_3_parser\nfrom ryu.ofproto import ofproto_v1_3\nfrom ryu.ofproto import ofproto_protocol\nfrom ryu.ofproto import ether\nfrom ryu.ofproto.ofproto_parser import MsgBase\nfrom ryu import utils\nfrom ryu.lib import addrconv\n\nLOG = logging.getLogger('test_ofproto_v13')\n\n\n_Datapath = ofproto_protocol.ProtocolDesc(version=ofproto_v1_3.OFP_VERSION)\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class TestOFPMatch(unittest.TestCase):\n\n \"\"\" Test case for ofproto_v1_3_parser.OFPMatch\n \"\"\"\n\n\n\n # set_vlan_vid\n\n\n\n\n\n\n\n", "metadata": "root.TestOFPMatch", "header": "['module', '___EOS___']", "index": 38 }, { "content": " def test_init(self):\n res = OFPMatch()\n\n # wc check\n eq_(res._wc.vlan_vid_mask, 0)\n\n # flow check\n eq_(res._flow.vlan_vid, 0)", "metadata": "root.TestOFPMatch.test_init", "header": "['class', 'TestOFPMatch', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 43 }, { "content": " def _test_serialize_and_parser(self, match, header, value, mask=None):\n cls_ = OFPMatchField._FIELDS_HEADERS.get(header)\n pack_str = cls_.pack_str.replace('!', '')\n fmt = '!HHI' + pack_str\n\n # serialize\n buf = bytearray()\n length = match.serialize(buf, 0)\n eq_(length, len(buf))\n if mask and len(buf) > calcsize(fmt):\n fmt += pack_str\n\n res = list(unpack_from(fmt, six.binary_type(buf), 0)[3:])\n if type(value) is list:\n res_value = res[:calcsize(pack_str) // 2]\n eq_(res_value, value)\n if mask:\n res_mask = res[calcsize(pack_str) // 2:]\n eq_(res_mask, mask)\n else:\n res_value = res.pop(0)\n if cls_.__name__ == 'MTVlanVid':\n eq_(res_value, value | ofproto.OFPVID_PRESENT)\n else:\n eq_(res_value, value)\n if mask and res and res[0]:\n res_mask = res[0]\n eq_(res_mask, mask)\n\n # parser\n res = match.parser(six.binary_type(buf), 0)\n eq_(res.type, ofproto.OFPMT_OXM)\n eq_(res.fields[0].header, header)\n eq_(res.fields[0].value, value)\n if mask and res.fields[0].mask is not None:\n eq_(res.fields[0].mask, mask)\n\n # to_jsondict\n jsondict = match.to_jsondict()\n\n # from_jsondict\n match2 = match.from_jsondict(jsondict[\"OFPMatch\"])\n buf2 = bytearray()\n match2.serialize(buf2, 0)\n eq_(str(match), str(match2))\n eq_(buf, buf2)", "metadata": "root.TestOFPMatch._test_serialize_and_parser", "header": "['class', 'TestOFPMatch', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 52 }, { "content": " def _test_set_vlan_vid(self, vid, mask=None):\n header = ofproto.OXM_OF_VLAN_VID\n match = OFPMatch()\n if mask is None:\n match.set_vlan_vid(vid)\n else:\n header = ofproto.OXM_OF_VLAN_VID_W\n match.set_vlan_vid_masked(vid, mask)\n self._test_serialize_and_parser(match, header, vid, mask)", "metadata": "root.TestOFPMatch._test_set_vlan_vid", "header": "['class', 'TestOFPMatch', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 100 }, { "content": " def _test_set_vlan_vid_none(self):\n header = ofproto.OXM_OF_VLAN_VID\n match = OFPMatch()\n match.set_vlan_vid_none()\n value = ofproto.OFPVID_NONE\n cls_ = OFPMatchField._FIELDS_HEADERS.get(header)\n pack_str = cls_.pack_str.replace('!', '')\n fmt = '!HHI' + pack_str\n\n # serialize\n buf = bytearray()\n length = match.serialize(buf, 0)\n eq_(length, len(buf))\n\n res = list(unpack_from(fmt, six.binary_type(buf), 0)[3:])\n res_value = res.pop(0)\n eq_(res_value, value)\n\n # parser\n res = match.parser(six.binary_type(buf), 0)\n eq_(res.type, ofproto.OFPMT_OXM)\n eq_(res.fields[0].header, header)\n eq_(res.fields[0].value, value)\n\n # to_jsondict\n jsondict = match.to_jsondict()\n\n # from_jsondict\n match2 = match.from_jsondict(jsondict[\"OFPMatch\"])\n buf2 = bytearray()\n match2.serialize(buf2, 0)\n eq_(str(match), str(match2))\n eq_(buf, buf2)", "metadata": "root.TestOFPMatch._test_set_vlan_vid_none", "header": "['class', 'TestOFPMatch', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 110 }, { "content": " def test_set_vlan_vid_mid(self):\n self._test_set_vlan_vid(2047)", "metadata": "root.TestOFPMatch.test_set_vlan_vid_mid", "header": "['class', 'TestOFPMatch', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 144 }, { "content": " def test_set_vlan_vid_max(self):\n self._test_set_vlan_vid(0xfff)", "metadata": "root.TestOFPMatch.test_set_vlan_vid_max", "header": "['class', 'TestOFPMatch', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 147 }, { "content": " def test_set_vlan_vid_min(self):\n self._test_set_vlan_vid(0)", "metadata": "root.TestOFPMatch.test_set_vlan_vid_min", "header": "['class', 'TestOFPMatch', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 150 }, { "content": " def test_set_vlan_vid_masked_mid(self):\n self._test_set_vlan_vid(2047, 0xf0f)", "metadata": "root.TestOFPMatch.test_set_vlan_vid_masked_mid", "header": "['class', 'TestOFPMatch', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 153 }, { "content": " def test_set_vlan_vid_masked_max(self):\n self._test_set_vlan_vid(2047, 0xfff)", "metadata": "root.TestOFPMatch.test_set_vlan_vid_masked_max", "header": "['class', 'TestOFPMatch', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 156 }, { "content": " def test_set_vlan_vid_masked_min(self):\n self._test_set_vlan_vid(2047, 0)", "metadata": "root.TestOFPMatch.test_set_vlan_vid_masked_min", "header": "['class', 'TestOFPMatch', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 159 }, { "content": " def test_set_vlan_vid_none(self):\n self._test_set_vlan_vid_none()", "metadata": "root.TestOFPMatch.test_set_vlan_vid_none", "header": "['class', 'TestOFPMatch', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 162 } ]

[ { "span": "import socket", "start_line": 20, "start_column": 0, "end_line": 20, "end_column": 13 }, { "span": "from ryu.ofproto import ofproto_v1_3_parser", "start_line": 24, "start_column": 0, "end_line": 24, "end_column": 43 }, { "span": "from ryu.ofproto import ether", "start_line": 27, "start_column": 0, "end_line": 27, "end_column": 29 }, { "span": "from ryu.ofproto.ofproto_parser import MsgBase", "start_line": 28, "start_column": 0, "end_line": 28, "end_column": 46 }, { "span": "from ryu import utils", "start_line": 29, "start_column": 0, "end_line": 29, "end_column": 21 }, { "span": "from ryu.lib import addrconv", "start_line": 30, "start_column": 0, "end_line": 30, "end_column": 28 } ]

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[ { "content": "class MaxLevelFilter(logging.Filter):\n\n", "metadata": "root.MaxLevelFilter", "header": "['module', '___EOS___']", "index": 123 }, { "content": " def __init__(self, level):\n self.level = level", "metadata": "root.MaxLevelFilter.__init__", "header": "['class', 'MaxLevelFilter', '(', 'logging', '.', 'Filter', ')', ':', '___EOS___']", "index": 125 } ]

[ { "span": "class MaxLevelFilter(logging.Filter):", "start_line": 123, "start_column": 0, "end_line": 123, "end_column": 37 } ]

[ { "span": "def __init__(self, level):", "start_line": 125, "start_column": 4, "end_line": 125, "end_column": 30 } ]

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[ { "content": "def resolve(url):\n try:\n result = client.request(url)\n\n post = {}\n f = client.parseDOM(result, 'form', attrs = {'name': 'F1'})[0]\n k = client.parseDOM(f, 'input', ret='name', attrs = {'type': 'hidden'})\n for i in k: post.update({i: client.parseDOM(f, 'input', ret='value', attrs = {'name': i})[0]})\n post = post\n\n for i in range(0, 3):\n try:\n result = client.request(url, post=post)\n\n url = client.parseDOM(result, 'div', attrs = {'align': '.+?'})\n url1 = client.parseDOM(result, 'a', ret='href')\n\n url = [i for i in url if 'button_upload' in i][0]\n url = client.parseDOM(url, 'a', ret='href')[0]\n url = ['http' + i for i in url.split('http') if 'uptobox.com' in i][0]\n return url\n except:\n time.sleep(1)\n except:\n return", "metadata": "root.resolve", "header": "['module', '___EOS___']", "index": 26 }, { "content": "def check(url):\n try:\n result = client.request(url)\n if result == None: return False\n\n result = client.parseDOM(result, 'span', attrs = {'class': 'para_title'})\n if any('File not found' in x for x in result): raise Exception()\n\n return True\n except:\n return False", "metadata": "root.check", "header": "['module', '___EOS___']", "index": 53 } ]

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[]

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[ { "content": "\n## Interactions and ANOVA\n\n# Note: This script is based heavily on Jonathan Taylor's class notes http://www.stanford.edu/class/stats191/interactions.html\n#\n# Download and format data:\n\nfrom __future__ import print_function\nfrom statsmodels.compat import urlopen\nimport numpy as np\nnp.set_printoptions(precision=4, suppress=True)\nimport statsmodels.api as sm\nimport pandas as pd\nimport matplotlib.pyplot as plt\nfrom statsmodels.formula.api import ols\nfrom statsmodels.graphics.api import interaction_plot, abline_plot\nfrom statsmodels.stats.anova import anova_lm\n\ntry:\n salary_table = pd.read_csv('salary.table')\nexcept: # recent pandas can read URL without urlopen\n url = 'http://stats191.stanford.edu/data/salary.table'\n fh = urlopen(url)\n salary_table = pd.read_table(fh)\n salary_table.to_csv('salary.table')\n\nE = salary_table.E\nM = salary_table.M\nX = salary_table.X\nS = salary_table.S\n\n\n# Take a look at the data:\n\nplt.figure(figsize=(6,6))\nsymbols = ['D', '^']\ncolors = ['r', 'g', 'blue']\nfactor_groups = salary_table.groupby(['E','M'])\nfor values, group in factor_groups:\n i,j = values\n plt.scatter(group['X'], group['S'], marker=symbols[j], color=colors[i-1],\n s=144)\nplt.xlabel('Experience');\nplt.ylabel('Salary');\n\n\n# Fit a linear model:\n\nformula = 'S ~ C(E) + C(M) + X'\nlm = ols(formula, salary_table).fit()\nprint(lm.summary())\n\n\n# Have a look at the created design matrix:\n\nlm.model.exog[:5]\n\n\n# Or since we initially passed in a DataFrame, we have a DataFrame available in\n\nlm.model.data.orig_exog[:5]\n\n\n# We keep a reference to the original untouched data in\n\nlm.model.data.frame[:5]\n\n\n# Influence statistics\n\ninfl = lm.get_influence()\nprint(infl.summary_table())\n\n\n# or get a dataframe\n\ndf_infl = infl.summary_frame()\n\n\ndf_infl[:5]\n\n\n# Now plot the reiduals within the groups separately:\n\nresid = lm.resid\nplt.figure(figsize=(6,6));\nfor values, group in factor_groups:\n i,j = values\n group_num = i*2 + j - 1 # for plotting purposes\n x = [group_num] * len(group)\n plt.scatter(x, resid[group.index], marker=symbols[j], color=colors[i-1],\n s=144, edgecolors='black')\nplt.xlabel('Group')\nplt.ylabel('Residuals')\n\n\n# Now we will test some interactions using anova or f_test\n\ninterX_lm = ols(\"S ~ C(E) * X + C(M)\", salary_table).fit()\nprint(interX_lm.summary())\n\n\n# Do an ANOVA check\n\nfrom statsmodels.stats.api import anova_lm\n\ntable1 = anova_lm(lm, interX_lm)\nprint(table1)\n\ninterM_lm = ols(\"S ~ X + C(E)*C(M)\", data=salary_table).fit()\nprint(interM_lm.summary())\n\ntable2 = anova_lm(lm, interM_lm)\nprint(table2)\n\n\n# The design matrix as a DataFrame\n\ninterM_lm.model.data.orig_exog[:5]\n\n\n# The design matrix as an ndarray\n\ninterM_lm.model.exog\ninterM_lm.model.exog_names\n\n\ninfl = interM_lm.get_influence()\nresid = infl.resid_studentized_internal\nplt.figure(figsize=(6,6))\nfor values, group in factor_groups:\n i,j = values\n idx = group.index\n plt.scatter(X[idx], resid[idx], marker=symbols[j], color=colors[i-1],\n s=144, edgecolors='black')\nplt.xlabel('X');\nplt.ylabel('standardized resids');\n\n\n# Looks like one observation is an outlier.\n\ndrop_idx = abs(resid).argmax()\nprint(drop_idx) # zero-based index\nidx = salary_table.index.drop(drop_idx)\n\nlm32 = ols('S ~ C(E) + X + C(M)', data=salary_table, subset=idx).fit()\n\nprint(lm32.summary())\nprint('\\n')\n\ninterX_lm32 = ols('S ~ C(E) * X + C(M)', data=salary_table, subset=idx).fit()\n\nprint(interX_lm32.summary())\nprint('\\n')\n\n\ntable3 = anova_lm(lm32, interX_lm32)\nprint(table3)\nprint('\\n')\n\n\ninterM_lm32 = ols('S ~ X + C(E) * C(M)', data=salary_table, subset=idx).fit()\n\ntable4 = anova_lm(lm32, interM_lm32)\nprint(table4)\nprint('\\n')\n\n\n# Replot the residuals\n\ntry:\n resid = interM_lm32.get_influence().summary_frame()['standard_resid']\nexcept:\n resid = interM_lm32.get_influence().summary_frame()['standard_resid']\n\nplt.figure(figsize=(6,6))\nfor values, group in factor_groups:\n i,j = values\n idx = group.index\n plt.scatter(X[idx], resid[idx], marker=symbols[j], color=colors[i-1],\n s=144, edgecolors='black')\nplt.xlabel('X[~[32]]');\nplt.ylabel('standardized resids');\n\n\n# Plot the fitted values\n\nlm_final = ols('S ~ X + C(E)*C(M)', data = salary_table.drop([drop_idx])).fit()\nmf = lm_final.model.data.orig_exog\nlstyle = ['-','--']\n\nplt.figure(figsize=(6,6))\nfor values, group in factor_groups:\n i,j = values\n idx = group.index\n plt.scatter(X[idx], S[idx], marker=symbols[j], color=colors[i-1],\n s=144, edgecolors='black')\n # drop NA because there is no idx 32 in the final model\n plt.plot(mf.X[idx].dropna(), lm_final.fittedvalues[idx].dropna(),\n ls=lstyle[j], color=colors[i-1])\nplt.xlabel('Experience');\nplt.ylabel('Salary');\n\n\n# From our first look at the data, the difference between Master's and PhD in the management group is different than in the non-management group. This is an interaction between the two qualitative variables management,M and education,E. We can visualize this by first removing the effect of experience, then plotting the means within each of the 6 groups using interaction.plot.\n\nU = S - X * interX_lm32.params['X']\n\nplt.figure(figsize=(6,6))\ninteraction_plot(E, M, U, colors=['red','blue'], markers=['^','D'],\n markersize=10, ax=plt.gca())\n\n\n# ## Minority Employment Data\n\ntry:\n jobtest_table = pd.read_table('jobtest.table')\nexcept: # don't have data already\n url = 'http://stats191.stanford.edu/data/jobtest.table'\n jobtest_table = pd.read_table(url)\n\nfactor_group = jobtest_table.groupby(['ETHN'])\n\nplt.figure(figsize=(6,6))\ncolors = ['purple', 'green']\nmarkers = ['o', 'v']\nfor factor, group in factor_group:\n plt.scatter(group['TEST'], group['JPERF'], color=colors[factor],\n marker=markers[factor], s=12**2)\nplt.xlabel('TEST');\nplt.ylabel('JPERF');\n\nmin_lm = ols('JPERF ~ TEST', data=jobtest_table).fit()\nprint(min_lm.summary())\n\nplt.figure(figsize=(6,6));\nfor factor, group in factor_group:\n plt.scatter(group['TEST'], group['JPERF'], color=colors[factor],\n marker=markers[factor], s=12**2)\n\nplt.xlabel('TEST')\nplt.ylabel('JPERF')\nabline_plot(model_results = min_lm, ax=plt.gca());\n\nmin_lm2 = ols('JPERF ~ TEST + TEST:ETHN',\n data=jobtest_table).fit()\n\nprint(min_lm2.summary())\n\nplt.figure(figsize=(6,6));\nfor factor, group in factor_group:\n plt.scatter(group['TEST'], group['JPERF'], color=colors[factor],\n marker=markers[factor], s=12**2)\n\nabline_plot(intercept = min_lm2.params['Intercept'],\n slope = min_lm2.params['TEST'], ax=plt.gca(), color='purple');\nabline_plot(intercept = min_lm2.params['Intercept'],\n slope = min_lm2.params['TEST'] + min_lm2.params['TEST:ETHN'],\n ax=plt.gca(), color='green');\n\n\nmin_lm3 = ols('JPERF ~ TEST + ETHN', data = jobtest_table).fit()\nprint(min_lm3.summary())\n\nplt.figure(figsize=(6,6));\nfor factor, group in factor_group:\n plt.scatter(group['TEST'], group['JPERF'], color=colors[factor],\n marker=markers[factor], s=12**2)\n\nabline_plot(intercept = min_lm3.params['Intercept'],\n slope = min_lm3.params['TEST'], ax=plt.gca(), color='purple');\nabline_plot(intercept = min_lm3.params['Intercept'] + min_lm3.params['ETHN'],\n slope = min_lm3.params['TEST'], ax=plt.gca(), color='green');\n\n\nmin_lm4 = ols('JPERF ~ TEST * ETHN', data = jobtest_table).fit()\nprint(min_lm4.summary())\n\nplt.figure(figsize=(6,6));\nfor factor, group in factor_group:\n plt.scatter(group['TEST'], group['JPERF'], color=colors[factor],\n marker=markers[factor], s=12**2)\n\nabline_plot(intercept = min_lm4.params['Intercept'],\n slope = min_lm4.params['TEST'], ax=plt.gca(), color='purple');\nabline_plot(intercept = min_lm4.params['Intercept'] + min_lm4.params['ETHN'],\n slope = min_lm4.params['TEST'] + min_lm4.params['TEST:ETHN'],\n ax=plt.gca(), color='green');\n\n\n# is there any effect of ETHN on slope or intercept?\ntable5 = anova_lm(min_lm, min_lm4)\nprint(table5)\n\n# is there any effect of ETHN on intercept\ntable6 = anova_lm(min_lm, min_lm3)\nprint(table6)\n\n# is there any effect of ETHN on slope\ntable7 = anova_lm(min_lm, min_lm2)\nprint(table7)\n\n# is it just the slope or both?\ntable8 = anova_lm(min_lm2, min_lm4)\nprint(table8)\n\n\n# ## One-way ANOVA\n\ntry:\n rehab_table = pd.read_csv('rehab.table')\nexcept:\n url = 'http://stats191.stanford.edu/data/rehab.csv'\n rehab_table = pd.read_table(url, delimiter=\",\")\n rehab_table.to_csv('rehab.table')\n\nplt.figure(figsize=(6,6))\nrehab_table.boxplot('Time', 'Fitness', ax=plt.gca())\n\nrehab_lm = ols('Time ~ C(Fitness)', data=rehab_table).fit()\ntable9 = anova_lm(rehab_lm)\nprint(table9)\n\nprint(rehab_lm.model.data.orig_exog)\n\nprint(rehab_lm.summary())\n\n\n# ## Two-way ANOVA\n\ntry:\n kidney_table = pd.read_table('./kidney.table')\nexcept:\n url = 'http://stats191.stanford.edu/data/kidney.table'\n kidney_table = pd.read_table(url, delimiter=\" *\")\n\n\n# Explore the dataset\n\nkidney_table.groupby(['Weight', 'Duration']).size()\n\n\n# Balanced panel\n\nkt = kidney_table\nplt.figure(figsize=(6,6))\ninteraction_plot(kt['Weight'], kt['Duration'], np.log(kt['Days']+1),\n colors=['red', 'blue'], markers=['D','^'], ms=10, ax=plt.gca())\n\n\n# You have things available in the calling namespace available in the formula evaluation namespace\n\nkidney_lm = ols('np.log(Days+1) ~ C(Duration) * C(Weight)', data=kt).fit()\n\ntable10 = anova_lm(kidney_lm)\n\nprint(anova_lm(ols('np.log(Days+1) ~ C(Duration) + C(Weight)',\n data=kt).fit(), kidney_lm))\nprint(anova_lm(ols('np.log(Days+1) ~ C(Duration)', data=kt).fit(),\n ols('np.log(Days+1) ~ C(Duration) + C(Weight, Sum)',\n data=kt).fit()))\nprint(anova_lm(ols('np.log(Days+1) ~ C(Weight)', data=kt).fit(),\n ols('np.log(Days+1) ~ C(Duration) + C(Weight, Sum)',\n data=kt).fit()))\n\n\n# ## Sum of squares\n#\n# Illustrates the use of different types of sums of squares (I,II,II)\n# and how the Sum contrast can be used to produce the same output between\n# the 3.\n#\n# Types I and II are equivalent under a balanced design.\n#\n# Don't use Type III with non-orthogonal contrast - ie., Treatment\n\nsum_lm = ols('np.log(Days+1) ~ C(Duration, Sum) * C(Weight, Sum)',\n data=kt).fit()\n\nprint(anova_lm(sum_lm))\nprint(anova_lm(sum_lm, typ=2))\nprint(anova_lm(sum_lm, typ=3))\n\nnosum_lm = ols('np.log(Days+1) ~ C(Duration, Treatment) * C(Weight, Treatment)',\n data=kt).fit()\nprint(anova_lm(nosum_lm))\nprint(anova_lm(nosum_lm, typ=2))\nprint(anova_lm(nosum_lm, typ=3))\n\n\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 } ]

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[ { "content": "from pyjamas.ui.Composite import Composite\nfrom pyjamas.ui.HTML import HTML\nfrom pyjamas.ui.HorizontalPanel import HorizontalPanel\nfrom pyjamas.ui.Image import Image\nfrom pyjamas.ui.PopupPanel import PopupPanel\nfrom pyjamas.ui.VerticalPanel import VerticalPanel\nfrom pyjamas.ui.Widget import Widget\nfrom pyjamas.ui.Label import Label\nfrom MailLogger import Logger\n\n\n\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class Contact:", "metadata": "root.Contact", "header": "['module', '___EOS___']", "index": 10 }, { "content": " def __init__(self, name, email):\n self.photo = \"http://code.google.com/webtoolkit/documentation/examples/desktopclone/default_photo.jpg\"\n self.name = name\n self.email = email", "metadata": "root.Contact.__init__", "header": "['class', 'Contact', ':', '___EOS___']", "index": 11 }, { "content": "class ContactPopup(PopupPanel):", "metadata": "root.ContactPopup", "header": "['module', '___EOS___']", "index": 16 }, { "content": " def __init__(self, contact):\n # The popup's constructor's argument is a boolean specifying that it\n # auto-close itself when the user clicks outside of it.\n\n PopupPanel.__init__(self, True)\n\n inner = VerticalPanel()\n nameLabel = Label(contact.name)\n emailLabel = Label(contact.email)\n inner.add(nameLabel)\n inner.add(emailLabel)\n\n panel = HorizontalPanel()\n panel.setSpacing(4)\n panel.add(Image(contact.photo))\n panel.add(inner)\n\n self.add(panel)\n self.setStyleName(\"mail-ContactPopup\")\n nameLabel.setStyleName(\"mail-ContactPopupName\")\n emailLabel.setStyleName(\"mail-ContactPopupEmail\")", "metadata": "root.ContactPopup.__init__", "header": "['class', 'ContactPopup', '(', 'PopupPanel', ')', ':', '___EOS___']", "index": 17 }, { "content": "class Contacts(Composite):\n", "metadata": "root.Contacts", "header": "['module', '___EOS___']", "index": 40 }, { "content": " def __init__(self):\n Composite.__init__(self)\n\n self.contacts = []\n self.contacts.append(Contact(\"Benoit Mandelbrot\", \"benoit@example.com\"))\n self.contacts.append(Contact(\"Albert Einstein\", \"albert@example.com\"))\n self.contacts.append(Contact(\"Rene Descartes\", \"rene@example.com\"))\n self.contacts.append(Contact(\"Bob Saget\", \"bob@example.com\"))\n self.contacts.append(Contact(\"Ludwig von Beethoven\", \"ludwig@example.com\"))\n self.contacts.append(Contact(\"Richard Feynman\", \"richard@example.com\"))\n self.contacts.append(Contact(\"Alan Turing\", \"alan@example.com\"))\n self.contacts.append(Contact(\"John von Neumann\", \"john@example.com\"))\n\n self.panel = VerticalPanel()\n\n # Add all the contacts to the list.\n i = 0\n while (i < len(self.contacts)):\n self.addContact(self.contacts[i])\n i = i + 1\n\n self.initWidget(self.panel)\n self.setStyleName(\"mail-Contacts\")", "metadata": "root.Contacts.__init__", "header": "['class', 'Contacts', '(', 'Composite', ')', ':', '___EOS___']", "index": 41 }, { "content": " def addContact(self, contact):\n link = HTML(\"<a href='javascript:;'>\" + contact.name + \"</a>\")\n self.panel.add(link)\n\n # Add a click listener that displays a ContactPopup when it is clicked.\n listener = ContactListener(contact, link)\n link.addClickListener(listener)", "metadata": "root.Contacts.addContact", "header": "['class', 'Contacts', '(', 'Composite', ')', ':', '___EOS___']", "index": 65 }, { "content": "class ContactListener:\n", "metadata": "root.ContactListener", "header": "['module', '___EOS___']", "index": 73 }, { "content": " def __init__(self, contact, link):\n self.cont = contact\n self.link = link", "metadata": "root.ContactListener.__init__", "header": "['class', 'ContactListener', ':', '___EOS___']", "index": 74 }, { "content": " def onClick(self, sender):\n if (sender == self.link):\n popup = ContactPopup(self.cont)\n left = self.link.getAbsoluteLeft() + 32\n top = self.link.getAbsoluteTop() + 8\n popup.setPopupPosition(left, top)\n popup.show()", "metadata": "root.ContactListener.onClick", "header": "['class', 'ContactListener', ':', '___EOS___']", "index": 78 } ]

[ { "span": "from pyjamas.ui.Widget import Widget", "start_line": 6, "start_column": 0, "end_line": 6, "end_column": 36 }, { "span": "from MailLogger import Logger", "start_line": 8, "start_column": 0, "end_line": 8, "end_column": 29 } ]

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"\\u\\u\\uNEWLINE\\u\\u\\u_", "self_", "._", "link_", "=_", "link_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "[SEP]_", "class_", "Conta", "ct", "Listener_", ":_", "\\u\\u\\uEOS\\u\\u\\u_", "\\u\\u\\uNL\\u\\u\\u_", "\\u\\u\\uDEDENT\\u\\u\\u_", "def_", "on", "Click_", "(_", "self_", ",_", "sender_", ")_", ":_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uINDENT\\u\\u\\u ", " _", "if_", "(_", "sender_", "==_", "self_", "._", "link_", ")_", ":_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "\\u\\u\\uINDENT\\u\\u\\u ", " _", "popup_", "=_", "Conta", "ct", "Popup_", "(_", "self_", "._", "cont_", ")_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "left_", "=_", "self_", "._", "link_", "._", "get", "Abs", "olute", "Left_", "(_", ")_", "+_", "32_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "top_", "=_", "self_", "._", "link_", "._", "get", "Abs", "olute", "Top_", "(_", ")_", "+_", "8_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "popup_", "._", "set", "Pop", "up", "Position_", "(_", "left_", ",_", "top_", ")_", "\\u\\u\\uNEWLINE\\u\\u\\u_", "popup_", "._", "show_", "(_", ")_" ]

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[ { "content": "\n# Those are not supported by the six library and needs to be done manually\nfrom six import binary_type\n\ntry:\n # python 3\n from urllib.parse import urlencode, urlparse, urljoin\nexcept ImportError:\n # python 2 backward compatibility\n #noinspection PyUnresolvedReferences\n from urllib import urlencode\n #noinspection PyUnresolvedReferences\n from urlparse import urlparse, urljoin\n\ntry:\n # python 2\n from itertools import izip\nexcept ImportError:\n # python 3\n izip = zip\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 } ]

[ { "span": "from six import binary_type", "start_line": 2, "start_column": 0, "end_line": 2, "end_column": 27 }, { "span": "from urllib.parse import urlencode, urlparse, urljoin", "start_line": 6, "start_column": 4, "end_line": 6, "end_column": 57 }, { "span": "from urlparse import urlparse, urljoin", "start_line": 12, "start_column": 4, "end_line": 12, "end_column": 42 } ]

[]

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[ { "content": "import os\nimport json\nimport mimeparse\nimport inspect\n\nfrom jinja2 import Template, DebugUndefined, Environment, PackageLoader, FileSystemLoader\nfrom jinja2.exceptions import TemplateNotFound\n\nfrom giotto import get_config\nfrom giotto.exceptions import NoViewMethod\nfrom giotto.utils import Mock, htmlize, htmlize_list, pre_process_json, super_accept_to_mimetype, jsonify\nfrom giotto.control import GiottoControl, Redirection\n\n\n\n\n\n\n\n\n\n\n\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def renders(*mimetypes):\n def decorator(func):\n func.mimetypes = []\n for mimetype in mimetypes:\n func.mimetypes.append(mimetype)\n return func\n return decorator", "metadata": "root.renders", "header": "['module', '___EOS___']", "index": 13 }, { "content": "class GiottoView(object):\n \"\"\"\n Base class for all Giotto view objects. All Giotto Views must at least descend\n from this class, as ths class contains piping that the controller calls.\n \"\"\"\n\n\n\n\n", "metadata": "root.GiottoView", "header": "['module', '___EOS___']", "index": 21 }, { "content": " def __init__(self, persist=None, **kwargs):\n self.persist = persist\n self.render_map = {} # renderers by mimetype\n self.reject_map = {} # renderers by name (no corresponding mimetype)\n class_defined_renderers = [x for x in dir(self) if not x.startswith('__')]\n self._register_renderers(class_defined_renderers)\n\n for format, function in kwargs.items():\n ## key word arguments can be passed into the constructor to\n ## override render methods from within the manifest.\n ## set 'mimetypes' as if it were using the @renders decorator\n mime = super_accept_to_mimetype(format)\n setattr(function, 'mimetypes', [mime or format])\n setattr(self, format, function)\n\n # kwarg renderers kill any render methods that are defined by the class\n self._register_renderers(kwargs.keys())", "metadata": "root.GiottoView.__init__", "header": "['class', 'GiottoView', '(', 'object', ')', ':', '___EOS___']", "index": 27 }, { "content": " def _register_renderers(self, attrs):\n \"\"\"\n Go through the passed in list of attributes and register those renderers\n in the render map.\n \"\"\"\n for method in attrs:\n func = getattr(self, method)\n mimetypes = getattr(func, 'mimetypes', [])\n for mimetype in mimetypes:\n if not '/' in mimetype:\n self.reject_map[mimetype] = func\n if mimetype not in self.render_map:\n self.render_map[mimetype] = func\n else:\n # about to redefine an already defined renderer.\n # make sure this new render method is not on a base class.\n base_classes = self.__class__.mro()[1:]\n from_baseclass = any([x for x in base_classes if func.__name__ in dir(x)])\n if not from_baseclass:\n self.render_map[mimetype] = func", "metadata": "root.GiottoView._register_renderers", "header": "['class', 'GiottoView', '(', 'object', ')', ':', '___EOS___']", "index": 45 }, { "content": " def can_render(self, partial_mimetype):\n \"\"\"\n Given a partial mimetype (such as 'json' or 'html'), return if the \n view can render that type.\n \"\"\"\n for mime in self.render_map.keys():\n if mime == '*/*':\n return True\n if partial_mimetype in mime:\n return True\n return False", "metadata": "root.GiottoView.can_render", "header": "['class', 'GiottoView', '(', 'object', ')', ':', '___EOS___']", "index": 67 }, { "content": " def render(self, result, mimetype, errors=None):\n \"\"\"\n Render a model result into `mimetype` format.\n \"\"\"\n available_mimetypes = [x for x in self.render_map.keys() if '/' in x]\n render_func = None\n\n if '/' not in mimetype:\n # naked superformat (does not correspond to a mimetype)\n render_func = self.reject_map.get(mimetype, None)\n if not render_func:\n raise NoViewMethod(\"Unknown Superformat: %s\" % mimetype)\n\n if not render_func and available_mimetypes:\n target_mimetype = mimeparse.best_match(available_mimetypes, mimetype)\n render_func = self.render_map.get(target_mimetype, None)\n\n if not render_func:\n raise NoViewMethod(\"%s not supported for this program\" % mimetype)\n\n principle_mimetype = render_func.mimetypes[0]\n\n if GiottoControl in render_func.__class__.mro():\n # redirection defined as view (not wrapped in lambda)\n return {'body': render_func, 'persist': render_func.persist}\n\n if callable(self.persist):\n # persist (cookie data) can be either an object, or a callable)\n persist = self.persist(result)\n else:\n persist = self.persist\n\n # render functins can take either one or two arguments, both are\n # supported by the API\n arg_names = inspect.getargspec(render_func).args\n num_args = len(set(arg_names) - set(['self', 'cls']))\n if num_args == 2:\n data = render_func(result, errors or Mock())\n else:\n # if the renderer only has one argument, don't pass in the 2nd arg.\n data = render_func(result)\n\n if GiottoControl in data.__class__.mro():\n # render function returned a control object\n return {'body': data, 'persist': persist}\n\n if not hasattr(data, 'items'):\n # view returned string\n data = {'body': data, 'mimetype': principle_mimetype}\n else:\n # result is a dict in for form {body: XX, mimetype: xx}\n if not 'mimetype' in data and target_mimetype == '*/*':\n data['mimetype'] = ''\n\n if not 'mimetype' in data:\n data['mimetype'] = target_mimetype\n\n data['persist'] = persist\n return data", "metadata": "root.GiottoView.render", "header": "['class', 'GiottoView', '(', 'object', ')', ':', '___EOS___']", "index": 79 }, { "content": "class BasicView(GiottoView):\n \"\"\"\n Basic viewer that contains generic functionality for showing any data.\n \"\"\"\n\n", "metadata": "root.BasicView", "header": "['module', '___EOS___']", "index": 139 }, { "content": " @renders('application/json')\n def generic_json(self, result, errors):\n return {'body': jsonify(result), 'mimetype': 'application/json'}", "metadata": "root.BasicView.generic_json", "header": "['class', 'BasicView', '(', 'GiottoView', ')', ':', '___EOS___']", "index": 143 }, { "content": " @renders('text/html')\n def generic_html(self, result, errors):\n \"\"\"\n Try to display any object in sensible HTML.\n \"\"\"\n h1 = htmlize(type(result))\n out = []\n result = pre_process_json(result)\n\n if not hasattr(result, 'items'):\n # result is a non-container\n header = \"<tr><th>Value</th></tr>\"\n if type(result) is list:\n result = htmlize_list(result)\n else:\n result = htmlize(result)\n out = [\"<tr><td>\" + result + \"</td></tr>\"]\n elif hasattr(result, 'lower'):\n out = [\"<tr><td>\" + result + \"</td></tr>\"]\n else:\n # object is a dict\n header = \"<tr><th>Key</th><th>Value</th></tr>\"\n for key, value in result.items():\n v = htmlize(value)\n row = \"<tr><td>{0}</td><td>{1}</td></tr>\".format(key, v)\n out.append(row)\n\n env = Environment(loader=PackageLoader('giotto'))\n template = env.get_template('generic.html')\n rendered = template.render({'header': h1, 'table_header': header, 'table_body': out})\n return {'body': rendered, 'mimetype': 'text/html'}", "metadata": "root.BasicView.generic_html", "header": "['class', 'BasicView', '(', 'GiottoView', ')', ':', '___EOS___']", "index": 147 }, { "content": " @renders('text/plain', 'text/x-cmd', 'text/x-irc')\n def generic_text(self, result, errors):\n out = []\n kv_iterate = None\n single_iterate = []\n if hasattr(result, 'items'):\n #is a dict\n kv_iterate = result.items()\n elif hasattr(result, 'lower'):\n # is just a plain string\n return result\n elif not result:\n # is a Nonetype\n return ''\n elif hasattr(result, 'append'):\n # is a list\n single_iterate = result\n elif hasattr(result, 'todict'):\n # is a model object\n kv_iterate = result.todict().items()\n else:\n # generic object\n kv_iterate = result.__dict__.items()\n\n if kv_iterate:\n for key, value in kv_iterate:\n row = \"{0} - {1}\".format(key, value)\n out.append(row)\n else:\n for value in single_iterate:\n out.append(self.generic_text(value, None))\n\n return \"\\n\".join(out)", "metadata": "root.BasicView.generic_text", "header": "['class', 'BasicView', '(', 'GiottoView', ')', ':', '___EOS___']", "index": 179 }, { "content": "def get_jinja_template(template_name):\n ppx = get_config('project_path')\n env = Environment(loader=FileSystemLoader(os.path.join(ppx, 'views'))) \n return env.get_template(template_name)", "metadata": "root.get_jinja_template", "header": "['module', '___EOS___']", "index": 213 }, { "content": "def jinja_template(template_name, name='data', mimetype=\"text/html\"):\n \"\"\"\n Meta-renderer for rendering jinja templates\n \"\"\"\n def jinja_renderer(result, errors):\n template = get_jinja_template(template_name)\n context = {name: result or Mock(), 'errors': errors, 'enumerate': enumerate}\n rendered = template.render(**context)\n return {'body': rendered, 'mimetype': mimetype}\n return jinja_renderer", "metadata": "root.jinja_template", "header": "['module', '___EOS___']", "index": 218 }, { "content": "def partial_jinja_template(template_name, name='data', mimetype=\"text/html\"):\n \"\"\"\n Partial render of jinja templates. This is useful if you want to re-render\n the template in the output middleware phase.\n These templates are rendered in a way that all undefined variables will be \n kept in the emplate intact.\n \"\"\"\n def partial_jinja_renderer(result, errors):\n template = get_jinja_template(template_name)\n old = template.environment.undefined\n template.environment.undefined = DebugUndefined\n context = {name: result or Mock(), 'errors': errors}\n rendered = template.render(**context)\n template.environment.undefined = old\n return {'body': rendered, 'mimetype': mimetype}\n return partial_jinja_renderer", "metadata": "root.partial_jinja_template", "header": "['module', '___EOS___']", "index": 230 }, { "content": "def lazy_jinja_template(template_name, name='data', mimetype='text/html'):\n \"\"\"\n Jinja template renderer that does not render the template at all.\n Instead of returns the context and template object blended together.\n Make sure to add ``giotto.middleware.RenderLazytemplate`` to the output\n middleware stread of any program that uses this renderer.\n \"\"\"\n def lazy_jinja_renderer(result, errors):\n template = get_jinja_template(template_name)\n context = {name: result or Mock(), 'errors': errors}\n data = ('jinja2', template, context)\n return {'body': data, 'mimetype': mimetype}\n return lazy_jinja_renderer", "metadata": "root.lazy_jinja_template", "header": "['module', '___EOS___']", "index": 248 }, { "content": "class ImageViewer(GiottoView):\n \"\"\"\n For viewing images. The 'result' must be a file object that contains image\n data (doesn't matter the format).\n \"\"\"\n\n\n\n\n", "metadata": "root.ImageViewer", "header": "['module', '___EOS___']", "index": 263 }, { "content": " @renders('text/plain')\n def plaintext(self, result):\n \"\"\"\n Converts the image object into an ascii representation. Code taken from\n http://a-eter.blogspot.com/2010/04/image-to-ascii-art-in-python.html\n \"\"\"\n from PIL import Image\n\n ascii_chars = ['#', 'A', '@', '%', 'S', '+', '<', '*', ':', ',', '.']\n\n def image_to_ascii(image):\n image_as_ascii = []\n all_pixels = list(image.getdata())\n for pixel_value in all_pixels:\n index = pixel_value / 25 # 0 - 10\n image_as_ascii.append(ascii_chars[index])\n return image_as_ascii \n\n img = Image.open(result)\n width, heigth = img.size\n new_width = 80 \n new_heigth = int((heigth * new_width) / width)\n new_image = img.resize((new_width, new_heigth))\n new_image = new_image.convert(\"L\") # convert to grayscale\n\n # now that we have a grayscale image with some fixed width we have to convert every pixel\n # to the appropriate ascii character from \"ascii_chars\"\n img_as_ascii = image_to_ascii(new_image)\n img_as_ascii = ''.join(ch for ch in img_as_ascii)\n out = []\n for c in range(0, len(img_as_ascii), new_width):\n out.append(img_as_ascii[c:c+new_width])\n\n return \"\\n\".join(out)", "metadata": "root.ImageViewer.plaintext", "header": "['class', 'ImageViewer', '(', 'GiottoView', ')', ':', '___EOS___']", "index": 269 }, { "content": " def image(self, result):\n return result", "metadata": "root.ImageViewer.image", "header": "['class', 'ImageViewer', '(', 'GiottoView', ')', ':', '___EOS___']", "index": 304 }, { "content": " def image_jpeg(self, result):\n return self.image(result)", "metadata": "root.ImageViewer.image_jpeg", "header": "['class', 'ImageViewer', '(', 'GiottoView', ')', ':', '___EOS___']", "index": 307 }, { "content": " def text_cmd(self, result):\n return result.read()", "metadata": "root.ImageViewer.text_cmd", "header": "['class', 'ImageViewer', '(', 'GiottoView', ')', ':', '___EOS___']", "index": 310 }, { "content": " def text_html(self, result):\n return \"\"\"<!DOCTYPE html>\n <html>\n <body>\n <img src=\"/multiply?x=4&y=7\">\n </body>\n </html>\"\"\"", "metadata": "root.ImageViewer.text_html", "header": "['class', 'ImageViewer', '(', 'GiottoView', ')', ':', '___EOS___']", "index": 313 }, { "content": "class URLFollower(BasicView):\n \"\"\"\n For visualizing programs that return a url\n \"\"\"\n", "metadata": "root.URLFollower", "header": "['module', '___EOS___']", "index": 321 }, { "content": " @renders(\"text/html\")\n def text_html(self, data):\n return Redirection(data)", "metadata": "root.URLFollower.text_html", "header": "['class', 'URLFollower', '(', 'BasicView', ')', ':', '___EOS___']", "index": 325 }, { "content": " def cmd(self, data):\n # execute browser and give it the url\n return \"\"", "metadata": "root.URLFollower.cmd", "header": "['class', 'URLFollower', '(', 'BasicView', ')', ':', '___EOS___']", "index": 329 }, { "content": "class ForceJSONView(GiottoView):\n \"\"\"\n All objects going through this View will be displayed as JSON no matter what.\n \"\"\"", "metadata": "root.ForceJSONView", "header": "['module', '___EOS___']", "index": 333 }, { "content": " @renders(\"*/*\")\n def renderer(self, data, errors):\n return jsonify(data)", "metadata": "root.ForceJSONView.renderer", "header": "['class', 'ForceJSONView', '(', 'GiottoView', ')', ':', '___EOS___']", "index": 337 }, { "content": "class ForceTextView(GiottoView):", "metadata": "root.ForceTextView", "header": "['module', '___EOS___']", "index": 341 }, { "content": " @renders(\"*/*\")\n def renderer(self, data, errors):\n return self.generic_text(data)", "metadata": "root.ForceTextView.renderer", "header": "['class', 'ForceTextView', '(', 'GiottoView', ')', ':', '___EOS___']", "index": 342 } ]

[ { "span": "import json", "start_line": 1, "start_column": 0, "end_line": 1, "end_column": 11 }, { "span": "from jinja2 import Template, DebugUndefined, Environment, PackageLoader, FileSystemLoader", "start_line": 5, "start_column": 0, "end_line": 5, "end_column": 89 }, { "span": "from jinja2.exceptions import TemplateNotFound", "start_line": 6, "start_column": 0, "end_line": 6, "end_column": 46 } ]

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[ { "content": "# $Id: images.py 7062 2011-06-30 22:14:29Z milde $\n# Author: David Goodger <goodger@python.org>\n# Copyright: This module has been placed in the public domain.\n\n\"\"\"\nDirectives for figures and simple images.\n\"\"\"\n\n__docformat__ = 'reStructuredText'\n\n\nimport sys\nfrom docutils import nodes, utils\nfrom docutils.parsers.rst import Directive\nfrom docutils.parsers.rst import directives, states\nfrom docutils.nodes import fully_normalize_name, whitespace_normalize_name\nfrom docutils.parsers.rst.roles import set_classes\n\ntry:\n import Image as PIL # PIL\nexcept ImportError:\n PIL = None\n\n\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class Image(Directive):\n\n align_h_values = ('left', 'center', 'right')\n align_v_values = ('top', 'middle', 'bottom')\n align_values = align_v_values + align_h_values\n\n\n required_arguments = 1\n optional_arguments = 0\n final_argument_whitespace = True\n option_spec = {'alt': directives.unchanged,\n 'height': directives.length_or_unitless,\n 'width': directives.length_or_percentage_or_unitless,\n 'scale': directives.percentage,\n 'align': align,\n 'name': directives.unchanged,\n 'target': directives.unchanged_required,\n 'class': directives.class_option}\n", "metadata": "root.Image", "header": "['module', '___EOS___']", "index": 24 }, { "content": " def align(argument):\n # This is not callable as self.align. We cannot make it a\n # staticmethod because we're saving an unbound method in\n # option_spec below.\n return directives.choice(argument, Image.align_values)", "metadata": "root.Image.align", "header": "['class', 'Image', '(', 'Directive', ')', ':', '___EOS___']", "index": 30 }, { "content": " def run(self):\n if 'align' in self.options:\n if isinstance(self.state, states.SubstitutionDef):\n # Check for align_v_values.\n if self.options['align'] not in self.align_v_values:\n raise self.error(\n 'Error in \"%s\" directive: \"%s\" is not a valid value '\n 'for the \"align\" option within a substitution '\n 'definition. Valid values for \"align\" are: \"%s\".'\n % (self.name, self.options['align'],\n '\", \"'.join(self.align_v_values)))\n elif self.options['align'] not in self.align_h_values:\n raise self.error(\n 'Error in \"%s\" directive: \"%s\" is not a valid value for '\n 'the \"align\" option. Valid values for \"align\" are: \"%s\".'\n % (self.name, self.options['align'],\n '\", \"'.join(self.align_h_values)))\n messages = []\n reference = directives.uri(self.arguments[0])\n self.options['uri'] = reference\n reference_node = None\n if 'target' in self.options:\n block = states.escape2null(\n self.options['target']).splitlines()\n block = [line for line in block]\n target_type, data = self.state.parse_target(\n block, self.block_text, self.lineno)\n if target_type == 'refuri':\n reference_node = nodes.reference(refuri=data)\n elif target_type == 'refname':\n reference_node = nodes.reference(\n refname=fully_normalize_name(data),\n name=whitespace_normalize_name(data))\n reference_node.indirect_reference_name = data\n self.state.document.note_refname(reference_node)\n else: # malformed target\n messages.append(data) # data is a system message\n del self.options['target']\n set_classes(self.options)\n image_node = nodes.image(self.block_text, **self.options)\n self.add_name(image_node)\n if reference_node:\n reference_node += image_node\n return messages + [reference_node]\n else:\n return messages + [image_node]", "metadata": "root.Image.run", "header": "['class', 'Image', '(', 'Directive', ')', ':', '___EOS___']", "index": 48 }, { "content": "class Figure(Image):\n\n\n\n option_spec = Image.option_spec.copy()\n option_spec['figwidth'] = figwidth_value\n option_spec['figclass'] = directives.class_option\n option_spec['align'] = align\n has_content = True\n", "metadata": "root.Figure", "header": "['module', '___EOS___']", "index": 96 }, { "content": " def align(argument):\n return directives.choice(argument, Figure.align_h_values)", "metadata": "root.Figure.align", "header": "['class', 'Figure', '(', 'Image', ')', ':', '___EOS___']", "index": 98 }, { "content": " def figwidth_value(argument):\n if argument.lower() == 'image':\n return 'image'\n else:\n return directives.length_or_percentage_or_unitless(argument, 'px')", "metadata": "root.Figure.figwidth_value", "header": "['class', 'Figure', '(', 'Image', ')', ':', '___EOS___']", "index": 101 }, { "content": " def run(self):\n figwidth = self.options.pop('figwidth', None)\n figclasses = self.options.pop('figclass', None)\n align = self.options.pop('align', None)\n (image_node,) = Image.run(self)\n if isinstance(image_node, nodes.system_message):\n return [image_node]\n figure_node = nodes.figure('', image_node)\n if figwidth == 'image':\n if PIL and self.state.document.settings.file_insertion_enabled:\n # PIL doesn't like Unicode paths:\n try:\n i = PIL.open(str(image_node['uri']))\n except (IOError, UnicodeError):\n pass\n else:\n self.state.document.settings.record_dependencies.add(\n image_node['uri'])\n figure_node['width'] = i.size[0]\n elif figwidth is not None:\n figure_node['width'] = figwidth\n if figclasses:\n figure_node['classes'] += figclasses\n if align:\n figure_node['align'] = align\n if self.content:\n node = nodes.Element() # anonymous container for parsing\n self.state.nested_parse(self.content, self.content_offset, node)\n first_node = node[0]\n if isinstance(first_node, nodes.paragraph):\n caption = nodes.caption(first_node.rawsource, '',\n *first_node.children)\n figure_node += caption\n elif not (isinstance(first_node, nodes.comment)\n and len(first_node) == 0):\n error = self.state_machine.reporter.error(\n 'Figure caption must be a paragraph or empty comment.',\n nodes.literal_block(self.block_text, self.block_text),\n line=self.lineno)\n return [figure_node, error]\n if len(node) > 1:\n figure_node += nodes.legend('', *node[1:])\n return [figure_node]", "metadata": "root.Figure.run", "header": "['class', 'Figure', '(', 'Image', ')', ':', '___EOS___']", "index": 113 } ]

[ { "span": "import sys", "start_line": 11, "start_column": 0, "end_line": 11, "end_column": 10 }, { "span": "from docutils import nodes, utils", "start_line": 12, "start_column": 0, "end_line": 12, "end_column": 33 } ]

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[ { "content": "def test_style_dialog():\n\n # This is in part a regression test for a bug in Python 3. It is not a\n # full test of StyleDialog.\n\n session = simple_session()\n hub = session.hub\n collect = session.data_collection\n\n image = Data(label='im',\n x=[[1, 2], [3, 4]],\n y=[[2, 3], [4, 5]])\n\n pos = QtCore.QPoint(10, 10)\n st = NonBlockingStyleDialog.dropdown_editor(image, pos)", "metadata": "root.test_style_dialog", "header": "['module', '___EOS___']", "index": 18 } ]

[ { "span": "hub ", "start_line": 24, "start_column": 4, "end_line": 24, "end_column": 7 }, { "span": "collect ", "start_line": 25, "start_column": 4, "end_line": 25, "end_column": 11 }, { "span": "st ", "start_line": 32, "start_column": 4, "end_line": 32, "end_column": 6 } ]

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[ { "content": "class LazyList(list):\n \"\"\" Generic python list which is populated when items are first accessed.\n \"\"\"\n\n\n # Ensure list is only populated once\n\n # Accessing methods that require a populated field", "metadata": "root.LazyList", "header": "['module', '___EOS___']", "index": 25 }, { "content": " def populate(self):\n \"\"\" Populates the list.\n This method must be overridden by subclasses.\n It is called once, when items in the list are first accessed.\n \"\"\"\n raise NotImplementedError", "metadata": "root.LazyList.populate", "header": "['class', 'LazyList', '(', 'list', ')', ':', '___EOS___']", "index": 29 }, { "content": " def __init__(self, populate_function=None):\n if populate_function is not None:\n # TODO: Test this functionality!\n self.populate = populate_function\n self._populated = False", "metadata": "root.LazyList.__init__", "header": "['class', 'LazyList', '(', 'list', ')', ':', '___EOS___']", "index": 37 }, { "content": " def _populate(self):\n \"\"\" Populate this list by calling populate(), but only once. \"\"\"\n if not self._populated:\n logging.debug(\"Populating lazy list %d (%s)\" % (id(self), self.__class__.__name__))\n try:\n self.populate()\n self._populated = True\n except Exception, e:\n logging.debug(\"Currently unable to populate lazy list: %s\" % e)", "metadata": "root.LazyList._populate", "header": "['class', 'LazyList', '(', 'list', ')', ':', '___EOS___']", "index": 42 }, { "content": " def __len__(self):\n self._populate()\n return super(LazyList, self).__len__()", "metadata": "root.LazyList.__len__", "header": "['class', 'LazyList', '(', 'list', ')', ':', '___EOS___']", "index": 53 }, { "content": " def __getitem__(self, key):\n self._populate()\n return super(LazyList, self).__getitem__(key)", "metadata": "root.LazyList.__getitem__", "header": "['class', 'LazyList', '(', 'list', ')', ':', '___EOS___']", "index": 56 }, { "content": " def __setitem__(self, key, value):\n self._populate()\n return super(LazyList, self).__setitem__(key, value)", "metadata": "root.LazyList.__setitem__", "header": "['class', 'LazyList', '(', 'list', ')', ':', '___EOS___']", "index": 59 }, { "content": " def __delitem__(self, key):\n self._populate()\n return super(LazyList, self).__delitem__(key)", "metadata": "root.LazyList.__delitem__", "header": "['class', 'LazyList', '(', 'list', ')', ':', '___EOS___']", "index": 62 }, { "content": " def __iter__(self):\n self._populate()\n return super(LazyList, self).__iter__()", "metadata": "root.LazyList.__iter__", "header": "['class', 'LazyList', '(', 'list', ')', ':', '___EOS___']", "index": 65 }, { "content": " def __contains__(self, item):\n self._populate()\n return super(LazyList, self).__contains__(item)", "metadata": "root.LazyList.__contains__", "header": "['class', 'LazyList', '(', 'list', ')', ':', '___EOS___']", "index": 68 } ]

[ { "span": "class LazyList(list):", "start_line": 25, "start_column": 0, "end_line": 25, "end_column": 21 } ]

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[ { "content": "# -*- coding:utf-8 -*-\n\n# This code is automatically transpiled by Saklient Translator\n\nimport six\nimport saklient\n\nstr = six.text_type\n# module saklient.errors.httpexception\n\n \n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class HttpException(Exception):\n \n # (instance field) status\n \n # (instance field) code\n \n ## @param {int} status\n # @param {str} code=None\n # @param {str} message=\"\"", "metadata": "root.HttpException", "header": "['module', '___EOS___']", "index": 10 }, { "content": " def __init__(self, status, code=None, message=\"\"):\n super(HttpException, self).__init__(message)\n self.status = status\n self.code = code", "metadata": "root.HttpException.__init__", "header": "['class', 'HttpException', '(', 'Exception', ')', ':', '___NEWLINE___', '___NL___', '# (instance field) status', '___NL___', '___NL___', '# (instance field) code', '___NL___', '___NL___', '## @param {int} status', '___NL___', '# @param {str} code=None', '___NL___', '# @param {str} message=\"\"', '___NL___', '___EOS___']", "index": 19 } ]

[ { "span": "import saklient", "start_line": 5, "start_column": 0, "end_line": 5, "end_column": 15 } ]

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[ { "content": "#\n# Sublime Text plugin to support Corona Editor\n#\n# Copyright (c) 2013 Corona Labs Inc. A mobile development software company. All rights reserved.\n#\n# MIT License - see https://raw.github.com/coronalabs/CoronaSDK-SublimeText/master/LICENSE\n\nimport sublime\nimport sublime_plugin\nimport os\nimport re\nimport threading\nimport subprocess\nimport datetime\nimport sys\nimport socket\nimport traceback\n\ntry:\n import queue # P3\n coronaQueue = queue\nexcept:\n import Queue # P2\n coronaQueue = Queue\n\nconsoleOutputQ = None\nvariablesOutputQ = None\nluaStackOutputQ = None\ndebuggerCmdQ = None\n\ntry:\n from . import _corona_utils # P3\nexcept:\n import _corona_utils # P2\n\n\n# determine if 'obj' is a string in both Python 2.x and 3.x\n\n\nstatusRegion = None\n\n# We change our behavior to avoid complications with certain CoronaSDK releases\ncorona_sdk_version = None\n# Getting settings in certain threads locks up Sublime Text so do it just once\ncorona_sdk_debug = _corona_utils.GetSetting(\"corona_sdk_debug\", False)\n\ndebugFP = None\n\n\n\n\nHOST = '' # Symbolic name meaning all available interfaces\nPORT = 8171 # Arbitrary non-privileged port, matches Simulator\n\ncoronaDbg = None\ncoronaDbgThread = None\ncoronaBreakpointsSettings = None\ncoronaBreakpoints = {}\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def debug(s):\n global debugFP\n global corona_sdk_debug\n try:\n if not debugFP and corona_sdk_debug:\n if not os.path.isdir(_corona_utils.PACKAGE_USER_DIR):\n os.makedirs(_corona_utils.PACKAGE_USER_DIR)\n debugFP = open(os.path.normpath(os.path.join(_corona_utils.PACKAGE_USER_DIR, \"debug.log\")), \"w\", 1)\n except:\n pass\n\n # <CoronaDebuggerThread(Thread-5, started 4583960576)>\n thread_id = re.sub(r'.*\\(([^,]*),.*', r'\\1', str(threading.current_thread()))\n log_line = str(datetime.datetime.now()) + \" (\" + str(thread_id) + \"): \" + str(s)\n if debugFP:\n debugFP.write(log_line + \"\\n\")\n _corona_utils.debug(log_line)", "metadata": "root.debug", "header": "['module', '___EOS___']", "index": 53 } ]

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[ { "content": "def refresh_variables(ip, key=None):\n db = ip.db\n if key is None:\n keys = db.keys('jot/*')\n else:\n keys = db.keys('jot/'+key)\n for key in keys:\n # strip autorestore\n justkey = os.path.basename(key)\n print(\"Restoring from\", justkey, \"...\")\n try:\n obj = db[key]\n except KeyError:\n print(\"Unable to restore variable '%s', ignoring (use %%jot -d to forget!)\" % justkey)\n print(\"The error was:\",sys.exc_info()[0])\n else:\n #print \"restored\",justkey,\"=\",obj #dbg\n try:\n origname = obj.name\n except:\n ip.user_ns[justkey] = obj\n print(\"Restored\", justkey)\n else:\n ip.user_ns[origname] = obj['val']\n print(\"Restored\", origname) ", "metadata": "root.refresh_variables", "header": "['module', '___EOS___']", "index": 21 }, { "content": "def intm(n):\n try:\n return int(n)\n except:\n return 0", "metadata": "root.intm", "header": "['module', '___EOS___']", "index": 96 }, { "content": "def jot_obj(self, obj, name, comment=''):\n \"\"\"\n write obj data to the note database, with whatever that should be noted.\n \"\"\"\n had = self.db.keys('jot/'+name+'*')\n # if it the same name but a later version, we stupidly add a number to the \n # so the name doesn't collide. Any better idea?\n suffix = ''\n if len(had)>0:\n pre = os.path.commonprefix(had)\n suf = [n.split(pre)[1] for n in had]\n versions = list(map(intm, suf))\n suffix = str(max(versions)+1)\n\n uname = 'jot/'+name+suffix\n\n # which one works better? \n #all = ip.shadowhist.all()\n all = ip.shell.history_manager.input_hist_parsed\n\n # We may actually want to make snapshot of files that are run-ned.\n\n # get the comment \n try:\n comment = ip.magic_edit('-x').strip()\n except:\n print(\"No comment is recorded.\")\n comment = ''\n\n self.db[uname] = Struct({'val':obj, \n 'time' : datetime.now(), \n 'hist' : all,\n 'name' : name,\n 'comment' : comment,})\n\n print(\"Jotted down notes for '%s' (%s)\" % (uname, obj.__class__.__name__))", "metadata": "root.jot_obj", "header": "['module', '___EOS___']", "index": 102 }, { "content": "def magic_jot(self, parameter_s=''):\n \"\"\"Lightweight persistence for python variables.\n\n Example:\n \n ville@badger[~]|1> A = ['hello',10,'world']\\\\\n ville@badger[~]|2> %jot A\\\\\n ville@badger[~]|3> Exit\n \n (IPython session is closed and started again...)\n \n ville@badger:~$ ipython -p pysh\\\\\n ville@badger[~]|1> print A\n \n ['hello', 10, 'world']\n \n Usage:\n \n %jot - Show list of all variables and their current values\\\\\n %jot -l - Show list of all variables and their current values in detail\\\\\n %jot -l <var> - Show one variable and its current values in detail\\\\\n %jot <var> - Store the *current* value of the variable to disk\\\\\n %jot -d <var> - Remove the variable and its value from storage\\\\\n %jot -z - Remove all variables from storage (disabled)\\\\\n %jot -r <var> - Refresh/Load variable from jot (delete current vals)\\\\\n %jot foo >a.txt - Store value of foo to new file a.txt\\\\\n %jot foo >>a.txt - Append value of foo to file a.txt\\\\ \n \n It should be noted that if you change the value of a variable, you\n need to %note it again if you want to persist the new value.\n \n Note also that the variables will need to be pickleable; most basic\n python types can be safely %stored.\n \n \"\"\"\n \n opts,argsl = self.parse_options(parameter_s,'drzl',mode='string')\n args = argsl.split(None,1)\n ip = self.getapi()\n db = ip.db\n # delete\n if 'd' in opts:\n try:\n todel = args[0]\n except IndexError:\n error('You must provide the variable to forget')\n else:\n try:\n del db['jot/' + todel]\n except:\n error(\"Can't delete variable '%s'\" % todel)\n # reset the whole database\n elif 'z' in opts:\n print(\"reseting the whole database has been disabled.\")\n #for k in db.keys('autorestore/*'):\n # del db[k]\n\n elif 'r' in opts:\n try:\n toret = args[0]\n except:\n print(\"restoring all the variables jotted down...\")\n refresh_variables(ip)\n else:\n refresh_variables(ip, toret)\n\n elif 'l' in opts:\n try:\n tolist = args[0]\n except:\n print(\"List details for all the items.\")\n detail_variables(ip)\n else:\n print(\"Details for\", tolist, \":\")\n detail_variables(ip, tolist)\n \n # run without arguments -> list noted variables & notes \n elif not args:\n vars = self.db.keys('jot/*')\n vars.sort() \n if vars:\n size = max(list(map(len,vars))) - 4 \n else:\n size = 0\n \n print('Variables and their in-db values:')\n fmt = '%-'+str(size)+'s [%s] -> %s'\n get = db.get\n for var in vars:\n justkey = os.path.basename(var)\n v = get(var,'<unavailable>')\n try: \n print(fmt % (justkey,\\\n datetime.ctime(v.get('time','<unavailable>')),\\\n v.get('comment','<unavailable>')[:70].replace('\\n',' '),))\n except AttributeError:\n print(fmt % (justkey, '<unavailable>', '<unavailable>', repr(v)[:50]))\n\n \n # default action - store the variable\n else:\n # %store foo >file.txt or >>file.txt\n if len(args) > 1 and args[1].startswith('>'):\n fnam = os.path.expanduser(args[1].lstrip('>').lstrip())\n if args[1].startswith('>>'):\n fil = open(fnam,'a')\n else:\n fil = open(fnam,'w')\n obj = ip.ev(args[0])\n print(\"Writing '%s' (%s) to file '%s'.\" % (args[0],\n obj.__class__.__name__, fnam))\n\n \n if not isinstance (obj,str):\n from pprint import pprint\n pprint(obj,fil)\n else:\n fil.write(obj)\n if not obj.endswith('\\n'):\n fil.write('\\n')\n \n fil.close()\n return\n \n # %note foo\n try:\n obj = ip.user_ns[args[0]]\n except KeyError:\n # this should not be alias, for aliases, use %store\n print()\n print(\"Error: %s doesn't exist.\" % args[0])\n print() \n print(\"Use %note -r <var> to retrieve variables. This should not be used \" +\\\n \"to store alias, for saving aliases, use %store\") \n return\n else:\n if isinstance(inspect.getmodule(obj), FakeModule):\n print(textwrap.dedent(\"\"\"\\\n Warning:%s is %s \n Proper storage of interactively declared classes (or instances\n of those classes) is not possible! Only instances\n of classes in real modules on file system can be %%store'd.\n \"\"\" % (args[0], obj) )) \n return\n #pickled = pickle.dumps(obj)\n #self.db[ 'jot/' + args[0] ] = obj\n jot_obj(self, obj, args[0])", "metadata": "root.magic_jot", "header": "['module', '___EOS___']", "index": 141 }, { "content": "def magic_read(self, parameter_s=''):\n \"\"\" \n %read <var> - Load variable from data that is jotted down.\\\\\n \n \"\"\"\n \n opts,argsl = self.parse_options(parameter_s,'drzl',mode='string')\n args = argsl.split(None,1)\n ip = self.getapi()\n db = ip.db\n #if opts.has_key('r'):\n try:\n toret = args[0]\n except:\n print(\"which record do you want to read out?\")\n return\n else:\n return read_variables(ip, toret)", "metadata": "root.magic_read", "header": "['module', '___EOS___']", "index": 290 } ]

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[ { "content": "# -*- coding: utf-8 -*-\nfrom south.utils import datetime_utils as datetime\nfrom south.db import db\nfrom south.v2 import SchemaMigration\nfrom django.db import models\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class Migration(SchemaMigration):\n\n\n\n\n\n models = {\n u'auth.group': {\n 'Meta': {'object_name': 'Group'},\n u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),\n 'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '80'}),\n 'permissions': ('django.db.models.fields.related.ManyToManyField', [], {'to': u\"orm['auth.Permission']\", 'symmetrical': 'False', 'blank': 'True'})\n },\n u'auth.permission': {\n 'Meta': {'ordering': \"(u'content_type__app_label', u'content_type__model', u'codename')\", 'unique_together': \"((u'content_type', u'codename'),)\", 'object_name': 'Permission'},\n 'codename': ('django.db.models.fields.CharField', [], {'max_length': '100'}),\n 'content_type': ('django.db.models.fields.related.ForeignKey', [], {'to': u\"orm['contenttypes.ContentType']\"}),\n u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),\n 'name': ('django.db.models.fields.CharField', [], {'max_length': '50'})\n },\n u'auth.user': {\n 'Meta': {'object_name': 'User'},\n 'date_joined': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now'}),\n 'email': ('django.db.models.fields.EmailField', [], {'max_length': '75', 'blank': 'True'}),\n 'first_name': ('django.db.models.fields.CharField', [], {'max_length': '30', 'blank': 'True'}),\n 'groups': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'related_name': \"u'user_set'\", 'blank': 'True', 'to': u\"orm['auth.Group']\"}),\n u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),\n 'is_active': ('django.db.models.fields.BooleanField', [], {'default': 'True'}),\n 'is_staff': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),\n 'is_superuser': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),\n 'last_login': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now'}),\n 'last_name': ('django.db.models.fields.CharField', [], {'max_length': '30', 'blank': 'True'}),\n 'password': ('django.db.models.fields.CharField', [], {'max_length': '128'}),\n 'user_permissions': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'related_name': \"u'user_set'\", 'blank': 'True', 'to': u\"orm['auth.Permission']\"}),\n 'username': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '30'})\n },\n u'contenttypes.contenttype': {\n 'Meta': {'ordering': \"('name',)\", 'unique_together': \"(('app_label', 'model'),)\", 'object_name': 'ContentType', 'db_table': \"'django_content_type'\"},\n 'app_label': ('django.db.models.fields.CharField', [], {'max_length': '100'}),\n u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),\n 'model': ('django.db.models.fields.CharField', [], {'max_length': '100'}),\n 'name': ('django.db.models.fields.CharField', [], {'max_length': '100'})\n },\n u'desktop.document': {\n 'Meta': {'unique_together': \"(('content_type', 'object_id'),)\", 'object_name': 'Document'},\n 'content_type': ('django.db.models.fields.related.ForeignKey', [], {'to': u\"orm['contenttypes.ContentType']\"}),\n 'description': ('django.db.models.fields.TextField', [], {'default': \"''\"}),\n 'extra': ('django.db.models.fields.TextField', [], {'default': \"''\"}),\n u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),\n 'last_modified': ('django.db.models.fields.DateTimeField', [], {'auto_now': 'True', 'db_index': 'True', 'blank': 'True'}),\n 'name': ('django.db.models.fields.CharField', [], {'default': \"''\", 'max_length': '255'}),\n 'object_id': ('django.db.models.fields.PositiveIntegerField', [], {}),\n 'owner': ('django.db.models.fields.related.ForeignKey', [], {'related_name': \"'doc_owner'\", 'to': u\"orm['auth.User']\"}),\n 'tags': ('django.db.models.fields.related.ManyToManyField', [], {'to': u\"orm['desktop.DocumentTag']\", 'db_index': 'True', 'symmetrical': 'False'}),\n 'version': ('django.db.models.fields.SmallIntegerField', [], {'default': '1'})\n },\n u'desktop.document2': {\n 'Meta': {'ordering': \"['-last_modified']\", 'unique_together': \"(('uuid', 'version', 'is_history'),)\", 'object_name': 'Document2'},\n 'data': ('django.db.models.fields.TextField', [], {'default': \"'{}'\"}),\n 'dependencies': ('django.db.models.fields.related.ManyToManyField', [], {'related_name': \"'dependencies_rel_+'\", 'db_index': 'True', 'to': u\"orm['desktop.Document2']\"}),\n 'description': ('django.db.models.fields.TextField', [], {'default': \"''\"}),\n 'extra': ('django.db.models.fields.TextField', [], {'default': \"''\"}),\n u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),\n 'is_history': ('django.db.models.fields.BooleanField', [], {'default': 'False', 'db_index': 'True'}),\n 'last_modified': ('django.db.models.fields.DateTimeField', [], {'auto_now': 'True', 'db_index': 'True', 'blank': 'True'}),\n 'name': ('django.db.models.fields.CharField', [], {'default': \"''\", 'max_length': '255'}),\n 'owner': ('django.db.models.fields.related.ForeignKey', [], {'related_name': \"'doc2_owner'\", 'to': u\"orm['auth.User']\"}),\n 'parent_directory': ('django.db.models.fields.related.ForeignKey', [], {'blank': 'True', 'related_name': \"'children'\", 'null': 'True', 'to': u\"orm['desktop.Document2']\"}),\n 'type': ('django.db.models.fields.CharField', [], {'default': \"''\", 'max_length': '32', 'db_index': 'True'}),\n 'uuid': ('django.db.models.fields.CharField', [], {'default': \"'98dbb51e-c86b-4e1d-800e-c26d5db4cb82'\", 'max_length': '36', 'db_index': 'True'}),\n 'version': ('django.db.models.fields.SmallIntegerField', [], {'default': '1', 'db_index': 'True'})\n },\n u'desktop.document2permission': {\n 'Meta': {'unique_together': \"(('doc', 'perms'),)\", 'object_name': 'Document2Permission'},\n 'all': ('django.db.models.fields.BooleanField', [], {'default': 'True', 'db_index': 'True'}),\n 'doc': ('django.db.models.fields.related.ForeignKey', [], {'to': u\"orm['desktop.Document2']\"}),\n 'groups': ('django.db.models.fields.related.ManyToManyField', [], {'db_index': 'True', 'to': u\"orm['auth.Group']\", 'db_table': \"'documentpermission2_groups'\", 'symmetrical': 'False'}),\n u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),\n 'perms': ('django.db.models.fields.CharField', [], {'default': \"'read'\", 'max_length': '10', 'db_index': 'True'}),\n 'users': ('django.db.models.fields.related.ManyToManyField', [], {'db_index': 'True', 'to': u\"orm['auth.User']\", 'db_table': \"'documentpermission2_users'\", 'symmetrical': 'False'})\n },\n u'desktop.documentpermission': {\n 'Meta': {'unique_together': \"(('doc', 'perms'),)\", 'object_name': 'DocumentPermission'},\n 'doc': ('django.db.models.fields.related.ForeignKey', [], {'to': u\"orm['desktop.Document']\"}),\n 'groups': ('django.db.models.fields.related.ManyToManyField', [], {'db_index': 'True', 'to': u\"orm['auth.Group']\", 'db_table': \"'documentpermission_groups'\", 'symmetrical': 'False'}),\n u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),\n 'perms': ('django.db.models.fields.CharField', [], {'default': \"'read'\", 'max_length': '10'}),\n 'users': ('django.db.models.fields.related.ManyToManyField', [], {'db_index': 'True', 'to': u\"orm['auth.User']\", 'db_table': \"'documentpermission_users'\", 'symmetrical': 'False'})\n },\n u'desktop.documenttag': {\n 'Meta': {'unique_together': \"(('owner', 'tag'),)\", 'object_name': 'DocumentTag'},\n u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),\n 'owner': ('django.db.models.fields.related.ForeignKey', [], {'to': u\"orm['auth.User']\"}),\n 'tag': ('django.db.models.fields.SlugField', [], {'max_length': '50'})\n },\n u'desktop.settings': {\n 'Meta': {'object_name': 'Settings'},\n 'collect_usage': ('django.db.models.fields.BooleanField', [], {'default': 'True', 'db_index': 'True'}),\n u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),\n 'tours_and_tutorials': ('django.db.models.fields.BooleanField', [], {'default': 'True', 'db_index': 'True'})\n },\n u'desktop.userpreferences': {\n 'Meta': {'object_name': 'UserPreferences'},\n u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),\n 'key': ('django.db.models.fields.CharField', [], {'max_length': '20'}),\n 'user': ('django.db.models.fields.related.ForeignKey', [], {'to': u\"orm['auth.User']\"}),\n 'value': ('django.db.models.fields.TextField', [], {'max_length': '4096'})\n }\n }\n\n complete_apps = ['desktop']", "metadata": "root.Migration", "header": "['module', '___EOS___']", "index": 7 }, { "content": " def forwards(self, orm):\n # Removing M2M table for field tags on 'Document2'\n db.delete_table(db.shorten_name(u'desktop_document2_tags'))", "metadata": "root.Migration.forwards", "header": "['class', 'Migration', '(', 'SchemaMigration', ')', ':', '___EOS___']", "index": 9 }, { "content": " def backwards(self, orm):\n # Adding M2M table for field tags on 'Document2'\n m2m_table_name = db.shorten_name(u'desktop_document2_tags')\n db.create_table(m2m_table_name, (\n ('id', models.AutoField(verbose_name='ID', primary_key=True, auto_created=True)),\n ('from_document2', models.ForeignKey(orm[u'desktop.document2'], null=False)),\n ('to_document2', models.ForeignKey(orm[u'desktop.document2'], null=False))\n ))\n db.create_unique(m2m_table_name, ['from_document2_id', 'to_document2_id'])", "metadata": "root.Migration.backwards", "header": "['class', 'Migration', '(', 'SchemaMigration', ')', ':', '___EOS___']", "index": 14 } ]

[ { "span": "from south.utils import datetime_utils as datetime", "start_line": 1, "start_column": 0, "end_line": 1, "end_column": 50 } ]

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[ { "content": "# -*- coding: utf-8 -*-\n\"\"\"Advertise and collect advertisements of network services\n\nThe discovery module offers:\n\n * A UDP broadcast socket which:\n \n - Listens for and keeps track of service adverts from this and other \n machines & processes\n - Broadcasts services advertised by this process\n\n * A ZeroMQ socket which allow any process on this machine to \n communicate with its broadcast socket\n\nIn other words, we have a beacon which listens to instructions\nfrom processes on this machine while sending out and listening \nto adverts broadcast to/from all machines on the network.\n\nThe beacon is started automatically in a daemon thread when the first \nattempt is made to advertise or discover. If another process already \nhas a beacon running (ie if this beacon can't bind to its port) this \nbeacon thread will shut down with no further action.\n\nThe module-level functions to advertise and discover will open a connection\nto a ZeroMQ socket on this machine (which might be hosted by this or by another\nprocess) and will use this socket to send commands to the beacon thread which\nwill update or return its internal list of advertised services.\n\nAs an additional convenience, the :func:`advertise` function will, if given no\nspecific address, generate a suitable ip:port pair by interrogating the system.\nThis functionality is actually in :func:`core.address` (qv).\n\"\"\"\nimport os, sys\nimport collections\nimport errno\nimport json\nimport socket\nimport threading\nimport time\n\nimport zmq\n\nfrom . import config\nfrom . import core\nfrom . import sockets\n\n_logger = core.get_logger(__name__)\n\n#\n# Continue is a sentinel value to indicate that a command\n# has completed its scheduled slice without producing a result\n# and without exceeding its overall timeout.\n#\nContinue = object()\n\n#\n# Empty is a sentinel to distinguish between no result and a result of None\n#\nEmpty = object()\n\n\n \n \n\n\n\n\n_beacon = None\n_remote_beacon = object()\n\n\n\n\n\n\n\n\nif __name__ == '__main__':\n _start_beacon()\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def _unpack(message):\n return json.loads(message.decode(config.ENCODING))", "metadata": "root._unpack", "header": "['module', '___EOS___']", "index": 60 }, { "content": "def _pack(message):\n return json.dumps(message).encode(config.ENCODING)", "metadata": "root._pack", "header": "['module', '___EOS___']", "index": 63 }, { "content": "def timed_out(started_at, wait_for_s):\n #\n # If the wait time is the sentinel value FOREVER, never time out\n # Otherwise time out if the current time is more than wait_for_s seconds after the start time\n #\n if wait_for_s is config.FOREVER:\n return False\n else:\n return time.time() > started_at + wait_for_s", "metadata": "root.timed_out", "header": "['module', '___EOS___']", "index": 66 }, { "content": "def _bind_with_timeout(bind_function, args, n_tries=3, retry_interval_s=0.5):\n \"\"\"Attempt to bind a socket a number of times with a short interval in between\n \n Especially on Linux, crashing out of a networkzero process can leave the sockets\n lingering and unable to re-bind on startup. We give it a few goes here to see if\n we can bind within a couple of seconds.\n \"\"\"\n n_tries_left = n_tries\n while n_tries_left > 0:\n try:\n return bind_function(*args)\n except zmq.error.ZMQError as exc:\n _logger.warn(\"%s; %d tries remaining\", exc, n_tries_left)\n n_tries_left -= 1\n except OSError as exc:\n if exc.errno == errno.EADDRINUSE:\n _logger.warn(\"%s; %d tries remaining\", exc, n_tries_left)\n n_tries_left -= 1\n else:\n raise\n else:\n raise core.SocketAlreadyExistsError(\"Failed to bind after %s tries\" % n_tries)", "metadata": "root._bind_with_timeout", "header": "['module', '___EOS___']", "index": 76 }, { "content": "class _Service(object):\n \"\"\"Convenience container with details of a service to be advertised\n \n Includes the name, address and when it is next due to be advertised\n \"\"\"\n \n ", "metadata": "root._Service", "header": "['module', '___EOS___']", "index": 99 }, { "content": " def __init__(self, name, address):\n self.name = name\n self.address = address\n self.advertise_at = 0", "metadata": "root._Service.__init__", "header": "['class', '_Service', '(', 'object', ')', ':', '___EOS___']", "index": 105 }, { "content": " def __str__(self):\n return \"_Service %s at %s due to advertise at %s\" % (self.name, self.address, time.ctime(self.advertise_at))", "metadata": "root._Service.__str__", "header": "['class', '_Service', '(', 'object', ')', ':', '___EOS___']", "index": 110 }, { "content": "class _Command(object):\n \"\"\"Convenience container with details of a running command\n \n Includes the action (\"discover\", \"advertise\" etc.), its parameters, when\n it was started -- for timeout purposes -- and any response.\n \n This is used by the process_command functionality\n \"\"\"\n \n", "metadata": "root._Command", "header": "['module', '___EOS___']", "index": 113 }, { "content": " def __init__(self, action, params):\n self.action = action\n self.params = params\n self.started_at = time.time()\n self.response = Empty", "metadata": "root._Command.__init__", "header": "['class', '_Command', '(', 'object', ')', ':', '___EOS___']", "index": 122 }, { "content": " def __str__(self):\n return \"_Command: %s (%s) started at %s -> %s\" % (self.action, self.params, time.ctime(self.started_at), self.response) ", "metadata": "root._Command.__str__", "header": "['class', '_Command', '(', 'object', ')', ':', '___EOS___']", "index": 128 }, { "content": "class _Beacon(threading.Thread):\n \"\"\"Threaded beacon to: listen for adverts & broadcast adverts\n \"\"\"\n \n rpc_port = 9998\n beacon_port = 9999\n finder_timeout_s = 0.05\n beacon_message_size = 256\n time_between_broadcasts_s = config.BEACON_ADVERT_FREQUENCY_S\n \n\n\n #\n # Commands available via RPC are methods whose name starts with \"do_\"\n #\n \n \n \n \n \n\n\n\n\n ", "metadata": "root._Beacon", "header": "['module', '___EOS___']", "index": 131 }, { "content": " def __init__(self):\n threading.Thread.__init__(self)\n self.setDaemon(True)\n self._stop_event = threading.Event()\n \n #\n # Services we're advertising\n #\n self._services_to_advertise = collections.deque()\n #\n # Broadcast adverts which we've received (some of which will be our own)\n #\n self._services_found = {}\n \n #\n # _Command requests are collected on one queue\n # _Command responses are added to another\n #\n self._command = None\n \n #\n # Set the socket up to broadcast datagrams over UDP\n #\n self.socket = socket.socket(socket.AF_INET, socket.SOCK_DGRAM, socket.IPPROTO_UDP)\n self.socket.setsockopt(socket.SOL_SOCKET, socket.SO_BROADCAST, 1)\n self.socket.bind((\"\", self.beacon_port))\n #\n # Add the raw UDP socket to a ZeroMQ socket poller so we can check whether\n # it's received anything as part of the beacon's main event loop.\n #\n self.socket_fd = self.socket.fileno()\n self.poller = zmq.Poller()\n self.poller.register(self.socket, zmq.POLLIN)\n\n self.rpc = sockets.context.socket(zmq.REP)\n #\n # To avoid problems when restarting a beacon not long after it's been\n # closed, force the socket to shut down regardless about 1 second after \n # it's been closed.\n #\n _bind_with_timeout(self.rpc.bind, (\"tcp://127.0.0.1:%s\" % self.rpc_port,))", "metadata": "root._Beacon.__init__", "header": "['class', '_Beacon', '(', 'threading', '.', 'Thread', ')', ':', '___EOS___']", "index": 141 }, { "content": " def stop(self):\n _logger.debug(\"About to stop\")\n self._stop_event.set()", "metadata": "root._Beacon.stop", "header": "['class', '_Beacon', '(', 'threading', '.', 'Thread', ')', ':', '___EOS___']", "index": 183 }, { "content": " def do_advertise(self, started_at, name, address, fail_if_exists):\n _logger.debug(\"Advertise %s on %s %s\", name, address, fail_if_exists)\n canonical_address = core.address(address)\n \n for service in self._services_to_advertise:\n if service.name == name:\n if fail_if_exists:\n _logger.error(\"_Service %s already exists on %s\", name, service.address)\n return None\n else:\n _logger.warn(\"Superseding service %s which already exists on %s\", name, service.address)\n\n self._services_to_advertise.append(_Service(name, canonical_address))\n #\n # As a shortcut, automatically \"discover\" any services we ourselves are advertising\n #\n self._services_found[name] = canonical_address\n \n return canonical_address", "metadata": "root._Beacon.do_advertise", "header": "['class', '_Beacon', '(', 'threading', '.', 'Thread', ')', ':', '___EOS___']", "index": 190 }, { "content": " def do_discover(self, started_at, name, wait_for_s):\n _logger.debug(\"Discover %s waiting for %s seconds\", name, wait_for_s)\n \n discovered = self._services_found.get(name)\n\n #\n # If we've got a match, return it. Otherwise:\n # * If we're due to wait for ever, continue\n # * If we're out of time return None\n # * Otherwise we've still got time left: continue\n #\n if discovered:\n return discovered\n \n if timed_out(started_at, wait_for_s):\n return None\n else:\n return Continue", "metadata": "root._Beacon.do_discover", "header": "['class', '_Beacon', '(', 'threading', '.', 'Thread', ')', ':', '___EOS___']", "index": 210 }, { "content": " def do_discover_all(self, started_at):\n _logger.debug(\"Discover all\")\n return list(self._services_found.items())", "metadata": "root._Beacon.do_discover_all", "header": "['class', '_Beacon', '(', 'threading', '.', 'Thread', ')', ':', '___EOS___']", "index": 229 }, { "content": " def do_reset(self, started_at):\n _logger.debug(\"Reset\")\n self._services_found.clear()\n self._services_to_advertise.clear()", "metadata": "root._Beacon.do_reset", "header": "['class', '_Beacon', '(', 'threading', '.', 'Thread', ')', ':', '___EOS___']", "index": 233 }, { "content": " def do_stop(self, started_at):\n _logger.debug(\"Stop\")\n self.stop()", "metadata": "root._Beacon.do_stop", "header": "['class', '_Beacon', '(', 'threading', '.', 'Thread', ')', ':', '___EOS___']", "index": 238 }, { "content": " def listen_for_one_advert(self):\n events = dict(self.poller.poll(1000 * self.finder_timeout_s))\n if self.socket_fd not in events: \n return\n\n message, source = self.socket.recvfrom(self.beacon_message_size)\n service_name, service_address = _unpack(message)\n self._services_found[service_name] = service_address", "metadata": "root._Beacon.listen_for_one_advert", "header": "['class', '_Beacon', '(', 'threading', '.', 'Thread', ')', ':', '___EOS___']", "index": 242 }, { "content": " def broadcast_one_advert(self):\n if self._services_to_advertise:\n next_service = self._services_to_advertise[0]\n if next_service.advertise_at < time.time():\n message = _pack([next_service.name, next_service.address])\n self.socket.sendto(message, 0, (\"255.255.255.255\", self.beacon_port))\n next_service.advertise_at = time.time() + self.time_between_broadcasts_s\n self._services_to_advertise.rotate(-1)", "metadata": "root._Beacon.broadcast_one_advert", "header": "['class', '_Beacon', '(', 'threading', '.', 'Thread', ')', ':', '___EOS___']", "index": 251 }, { "content": " def poll_command_request(self):\n \"\"\"If the command RPC socket has an incoming request,\n separate it into its action and its params and put it\n on the command request queue.\n \"\"\"\n try:\n message = self.rpc.recv(zmq.NOBLOCK)\n except zmq.ZMQError as exc:\n if exc.errno == zmq.EAGAIN:\n return\n else:\n raise\n\n _logger.debug(\"Received command %s\", message)\n segments = _unpack(message)\n action, params = segments[0], segments[1:]\n _logger.debug(\"Adding %s, %s to the request queue\", action, params)\n self._command = _Command(action, params)", "metadata": "root._Beacon.poll_command_request", "header": "['class', '_Beacon', '(', 'threading', '.', 'Thread', ')', ':', '___EOS___']", "index": 260 }, { "content": " def process_command(self):\n if not self._command:\n return\n else:\n _logger.debug(\"process_command: %s\", self._command.action)\n command = self._command\n\n _logger.debug(\"Picked %s, %s, %s\", self._command.action, self._command.params, self._command.started_at)\n function = getattr(self, \"do_\" + command.action.lower(), None)\n if not function:\n raise NotImplementedError(\"%s is not a valid action\")\n else:\n try:\n result = function(command.started_at, *command.params)\n except:\n _logger.exception(\"Problem calling %s with %s\", command.action, command.params)\n result = None\n \n _logger.debug(\"result = %s\", result)\n \n #\n # result will be Continue if the action cannot be completed\n # (eg a discovery) but its time is not yet expired. Leave\n # the command on the stack for now.\n #\n if result is Continue:\n return\n \n #\n # If we get a result, add the result to the response\n # queue and pop the request off the stack.\n #\n self._command.response = result", "metadata": "root._Beacon.process_command", "header": "['class', '_Beacon', '(', 'threading', '.', 'Thread', ')', ':', '___EOS___']", "index": 279 }, { "content": " def poll_command_reponse(self):\n \"\"\"If the latest request has a response, issue it as a\n reply to the RPC socket.\n \"\"\"\n if self._command.response is not Empty:\n _logger.debug(\"Sending response %s\", self._command.response)\n self.rpc.send(_pack(self._command.response))\n self._command = None", "metadata": "root._Beacon.poll_command_reponse", "header": "['class', '_Beacon', '(', 'threading', '.', 'Thread', ')', ':', '___EOS___']", "index": 313 }, { "content": " def run(self):\n _logger.info(\"Starting discovery\")\n while not self._stop_event.wait(0):\n \n try:\n #\n # If we're not already processing one, check for an command\n # to advertise/discover from a local process.\n #\n if not self._command:\n self.poll_command_request()\n \n #\n # Broadcast the first advert whose advertising schedule\n # has arrived\n #\n self.broadcast_one_advert()\n \n #\n # See if an advert broadcast has arrived\n #\n self.listen_for_one_advert()\n \n #\n # If we're processing a command, see if it's complete\n #\n if self._command:\n self.process_command()\n self.poll_command_reponse()\n\n except:\n _logger.exception(\"Problem in beacon thread\")\n break\n \n _logger.info(\"Ending discovery\")\n self.rpc.close()\n self.socket.close()", "metadata": "root._Beacon.run", "header": "['class', '_Beacon', '(', 'threading', '.', 'Thread', ')', ':', '___EOS___']", "index": 322 }, { "content": "def _start_beacon():\n \"\"\"Start a beacon thread within this process if no beacon is currently\n running on this machine.\n \n In general this is called automatically when an attempt is made to\n advertise or discover. It might be convenient, though, to call this\n function directly if you want to have a process whose only job is\n to host this beacon so that it doesn't shut down when other processes\n shut down.\n \"\"\"\n global _beacon\n if _beacon is None:\n _logger.debug(\"About to start beacon\")\n try:\n _beacon = _Beacon()\n except OSError as exc:\n if exc.errno == errno.EADDRINUSE:\n _logger.warn(\"Beacon already active on this machine\")\n #\n # _remote_beacon is simply a not-None sentinel value\n # to distinguish between the case where we have not\n # yet started a beacon and where we have found one\n # in another process.\n #\n _beacon = _remote_beacon\n else:\n raise\n else:\n _beacon.start()", "metadata": "root._start_beacon", "header": "['module', '___EOS___']", "index": 363 }, { "content": "def _rpc(action, *args):\n _logger.debug(\"About to send rpc request %s with args %s\", action, args)\n with sockets.context.socket(zmq.REQ) as socket:\n #\n # To avoid problems when restarting a beacon not long after it's been\n # closed, force the socket to shut down regardless about 1 second after \n # it's been closed.\n #\n socket.connect(\"tcp://localhost:%s\" % _Beacon.rpc_port)\n socket.send(_pack([action] + list(args)))\n return _unpack(socket.recv())", "metadata": "root._rpc", "header": "['module', '___EOS___']", "index": 393 }, { "content": "def advertise(name, address=None, fail_if_exists=False):\n \"\"\"Advertise a name at an address\n \n Start to advertise service `name` at address `address`. If\n the address is not supplied, one is constructed and this is\n returned by the function. ie this is a typical use::\n \n address = nw0.advertise(\"myservice\")\n \n :param name: any text\n :param address: either \"ip:port\" or None\n :param fail_if_exists: fail if this name is already registered?\n :returns: the address given or constructed\n \"\"\"\n _start_beacon()\n return _rpc(\"advertise\", name, address, fail_if_exists)\n return address", "metadata": "root.advertise", "header": "['module', '___EOS___']", "index": 405 }, { "content": "def discover(name, wait_for_s=60):\n \"\"\"Discover a service by name\n \n Look for an advert to a named service::\n \n address = nw0.discover(\"myservice\")\n \n :param name: any text\n :param wait_for_s: how many seconds to wait before giving up\n :returns: the address found or None\n \"\"\"\n _start_beacon()\n #\n # It's possible to enter a deadlock situation where the first\n # process fires off a discovery request and waits for the\n # second process to advertise. But the second process has to\n # connect to the rpc port of the first process' beacon and\n # its advertisement is queued behind the pending discovery.\n #\n # To give both a chance of succeeding we operate in bursts,\n # allowing them to interleave.\n #\n t0 = time.time()\n while True:\n discovery = _rpc(\"discover\", name, 0.5)\n if discovery:\n return discovery\n if timed_out(t0, wait_for_s):\n return None", "metadata": "root.discover", "header": "['module', '___EOS___']", "index": 423 }, { "content": "def discover_all():\n \"\"\"Produce a list of all known services and their addresses\n \n Ask for all known services as a list of 2-tuples: (name, address)\n This could, eg, be used to form a dictionary of services::\n \n services = dict(nw0.discover_all())\n \n :returns: a list of 2-tuples [(name, address), ...]\n \"\"\"\n _start_beacon()\n return _rpc(\"discover_all\")", "metadata": "root.discover_all", "header": "['module', '___EOS___']", "index": 453 }, { "content": "def discover_group(group, exclude=None):\n \"\"\"Produce a list of all services and their addresses in a group\n \n A group is an optional form of namespace within the discovery mechanism.\n If an advertised name has the form <group>/<name> it is deemed to\n belong to <group>. Note that the service's name is still the full\n string <group>/<name>. The group concept is simply for discovery and\n to assist differentiation, eg, in a classroom group.\n \n :param group: the name of a group prefix\n :param exclude: an iterable of names to exclude (or None)\n \n :returns: a list of 2-tuples [(name, address), ...]\n \"\"\"\n _start_beacon()\n if exclude is None:\n names_to_exclude = set()\n else:\n names_to_exclude = set(exclude)\n all_discovered = _rpc(\"discover_all\")\n return [(name, address) \n for (name, address) in all_discovered \n if name.startswith(\"%s/\" % group)\n and name not in names_to_exclude\n ]", "metadata": "root.discover_group", "header": "['module', '___EOS___']", "index": 466 }, { "content": "def reset_beacon():\n \"\"\"Clear the adverts which the beacon is carrying\n \n (This is mostly useful when testing, to get a fresh start)\n \"\"\"\n _start_beacon()\n return _rpc(\"reset\")", "metadata": "root.reset_beacon", "header": "['module', '___EOS___']", "index": 492 } ]

[ { "span": "import os, sys", "start_line": 32, "start_column": 0, "end_line": 32, "end_column": 14 } ]

[]

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[ { "content": "def test_tweet_ordering():\n now = datetime.now(timezone.utc)\n tweet_1 = Tweet(\"A\", now)\n tweet_2 = Tweet(\"B\", now + timedelta(hours=1))\n tweet_3 = Tweet(\"C\", now + timedelta(hours=2))\n tweet_4 = Tweet(\"D\", now + timedelta(hours=2))\n tweet_5 = Tweet(\"D\", now + timedelta(hours=2))\n\n source = Source(\"foo\", \"bar\")\n\n # explicit testing\n with pytest.raises(TypeError):\n tweet_1 < source\n\n with pytest.raises(TypeError):\n tweet_1 <= source\n\n with pytest.raises(TypeError):\n tweet_1 > source\n\n with pytest.raises(TypeError):\n tweet_1 >= source\n\n assert tweet_1 != source\n\n assert tweet_1 < tweet_2\n assert tweet_1 <= tweet_2\n assert tweet_2 > tweet_1\n assert tweet_2 >= tweet_1\n assert tweet_3 != tweet_4\n assert tweet_5 == tweet_4\n assert tweet_5 >= tweet_4\n assert tweet_5 <= tweet_4\n assert not(tweet_3 <= tweet_4)\n assert not(tweet_3 >= tweet_4)", "metadata": "root.test_tweet_ordering", "header": "['module', '___EOS___']", "index": 53 } ]

[ { "span": "tweet_1 <= tweet_2", "start_line": 79, "start_column": 11, "end_line": 79, "end_column": 29 }, { "span": "tweet_2 > tweet_1", "start_line": 80, "start_column": 11, "end_line": 80, "end_column": 28 }, { "span": "tweet_2 >= tweet_1", "start_line": 81, "start_column": 11, "end_line": 81, "end_column": 29 }, { "span": "tweet_3 >= tweet_4)", "start_line": 87, "start_column": 15, "end_line": 87, "end_column": 33 } ]

[ { "span": "tweet_1 < tweet_2", "start_line": 78, "start_column": 11, "end_line": 78, "end_column": 28 }, { "span": "not(tweet_3 <= tweet_4)", "start_line": 86, "start_column": 11, "end_line": 86, "end_column": 34 } ]

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[ { "content": "def run(\n appname,\n plain=False,\n import_models=False,\n startfile=None,\n bpython=False,\n python_code=False,\n cronjob=False):\n \"\"\"\n Start interactive shell or run Python script (startfile) in web2py\n controller environment. appname is formatted like:\n\n a web2py application name\n a/c exec the controller c into the application environment\n \"\"\"\n\n (a, c, f, args, vars) = parse_path_info(appname, av=True)\n errmsg = 'invalid application name: %s' % appname\n if not a:\n die(errmsg)\n adir = os.path.join('applications', a)\n\n if not os.path.exists(adir):\n if sys.stdin and not sys.stdin.name == '/dev/null':\n confirm = raw_input(\n 'application %s does not exist, create (y/n)?' % a)\n else:\n logging.warn('application does not exist and will not be created')\n return\n if confirm.lower() in ['y', 'yes']:\n\n os.mkdir(adir)\n w2p_unpack('welcome.w2p', adir)\n for subfolder in ['models', 'views', 'controllers', 'databases',\n 'modules', 'cron', 'errors', 'sessions',\n 'languages', 'static', 'private', 'uploads']:\n subpath = os.path.join(adir, subfolder)\n if not os.path.exists(subpath):\n os.mkdir(subpath)\n db = os.path.join(adir, 'models/db.py')\n if os.path.exists(db):\n data = fileutils.read_file(db)\n data = data.replace(\n '<your secret key>', 'sha512:' + web2py_uuid())\n fileutils.write_file(db, data)\n\n if c:\n import_models = True\n extra_request = {}\n if args:\n extra_request['args'] = args\n if vars:\n extra_request['vars'] = vars\n _env = env(a, c=c, f=f, import_models=import_models, extra_request=extra_request)\n if c:\n pyfile = os.path.join('applications', a, 'controllers', c + '.py')\n pycfile = os.path.join('applications', a, 'compiled',\n \"controllers_%s_%s.pyc\" % (c, f))\n if ((cronjob and os.path.isfile(pycfile))\n or not os.path.isfile(pyfile)):\n exec read_pyc(pycfile) in _env\n elif os.path.isfile(pyfile):\n execfile(pyfile, _env)\n else:\n die(errmsg)\n\n if f:\n exec ('print %s()' % f, _env)\n return\n\n _env.update(exec_pythonrc())\n if startfile:\n try:\n ccode = None\n if startfile.endswith('.pyc'):\n ccode = read_pyc(startfile)\n exec ccode in _env\n else:\n execfile(startfile, _env)\n\n if import_models:\n BaseAdapter.close_all_instances('commit')\n except Exception, e:\n print traceback.format_exc()\n if import_models:\n BaseAdapter.close_all_instances('rollback')\n elif python_code:\n try:\n exec(python_code, _env)\n if import_models:\n BaseAdapter.close_all_instances('commit')\n except Exception, e:\n print traceback.format_exc()\n if import_models:\n BaseAdapter.close_all_instances('rollback')\n else:\n if not plain:\n if bpython:\n try:\n import bpython\n bpython.embed(locals_=_env)\n return\n except:\n logger.warning(\n 'import bpython error; trying ipython...')\n else:\n try:\n import IPython\n if IPython.__version__ > '1.0.0':\n IPython.start_ipython(user_ns=_env)\n return\n elif IPython.__version__ == '1.0.0':\n from IPython.terminal.embed import InteractiveShellEmbed\n shell = InteractiveShellEmbed(user_ns=_env)\n shell()\n return\n elif IPython.__version__ >= '0.11':\n from IPython.frontend.terminal.embed import InteractiveShellEmbed\n shell = InteractiveShellEmbed(user_ns=_env)\n shell()\n return\n else:\n # following 2 lines fix a problem with\n # IPython; thanks Michael Toomim\n if '__builtins__' in _env:\n del _env['__builtins__']\n shell = IPython.Shell.IPShell(argv=[], user_ns=_env)\n shell.mainloop()\n return\n except:\n logger.warning(\n 'import IPython error; use default python shell')\n enable_autocomplete_and_history(adir,_env)\n code.interact(local=_env)", "metadata": "root.run", "header": "['module', '___EOS___']", "index": 187 } ]

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[ { "content": " def test_constructors(self):\n l0 = []\n l1 = [0]\n l2 = [0, 1]\n\n u = self.type2test()\n u0 = self.type2test(l0)\n u1 = self.type2test(l1)\n u2 = self.type2test(l2)\n\n uu = self.type2test(u)\n uu0 = self.type2test(u0)\n uu1 = self.type2test(u1)\n uu2 = self.type2test(u2)\n\n v = self.type2test(tuple(u))\n class OtherSeq:\n def __init__(self, initseq):\n self.__data = initseq\n def __len__(self):\n return len(self.__data)\n def __getitem__(self, i):\n return self.__data[i]\n s = OtherSeq(u0)\n v0 = self.type2test(s)\n self.assertEqual(len(v0), len(s))\n\n s = \"this is also a sequence\"\n vv = self.type2test(s)\n self.assertEqual(len(vv), len(s))\n\n # Create from various iteratables\n for s in (\"123\", \"\", range(1000), ('do', 1.2), range(2000,2200,5)):\n for g in (Sequence, IterFunc, IterGen,\n itermulti, iterfunc):\n self.assertEqual(self.type2test(g(s)), self.type2test(s))\n self.assertEqual(self.type2test(IterFuncStop(s)), self.type2test())\n self.assertEqual(self.type2test(c for c in \"123\"), self.type2test(\"123\"))\n self.assertRaises(TypeError, self.type2test, IterNextOnly(s))\n self.assertRaises(TypeError, self.type2test, IterNoNext(s))\n self.assertRaises(ZeroDivisionError, self.type2test, IterGenExc(s))", "metadata": "root.CommonTest.test_constructors", "header": "['class', 'CommonTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___NEWLINE___', '# The type to be tested', '___NL___', '___EOS___']", "index": 91 } ]

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[ { "content": "class ProcessStat(object):\n \"\"\"\n Information about a specific process.\n\n Merely a crude wrapper around the information in the /proc/<pid>/stat file.\n Read the man pages! Read the kernel source! Nothing in /proc is ever quite\n as it seems.\n \"\"\"\n\n __ticks_per_second = os.sysconf(os.sysconf_names[\"SC_CLK_TCK\"])\n __entry_re = re.compile(\"\\\\d+\")\n __stat_re_strings = [\n # signedness decisions were made by examining the kernel source, and in some\n # cases (eg pid) don't make much sense---but who are we in userland to judge?\n \"(?P<pid>-?\\\\d+)\", # process pid\n \"(?P<name>\\\\(.+\\\\))\", # executable name\n \"(?P<state>[RSDZTWX])\", # process state\n \"(?P<ppid>-?\\\\d+)\", # parent's pid\n \"(?P<pgid>-?\\\\d+)\", # process group id\n \"(?P<sid>-?\\\\d+)\", # session id\n \"(?P<tty>-?\\\\d+)\", # tty number\n \"(?P<ttyg>-?\\\\d+)\", # group id of the process which owns the associated tty\n \"(?P<flags>\\\\d+)\", # kernel flags word (kernel-version-dependent)\n \"(?P<min>\\\\d+)\", # minor faults count\n \"(?P<cmin>\\\\d+)\", # waited-for-children minor faults count\n \"(?P<maj>\\\\d+)\", # major faults count\n \"(?P<cmaj>\\\\d+)\", # waited-for-children major faults count\n \"(?P<utime>\\\\d+)\", # user mode jiffies count\n \"(?P<stime>\\\\d+)\", # kernel mode jiffies count\n \"(?P<cutime>-?\\\\d+)\", # waited-for-children user mode jiffies count\n \"(?P<cstime>-?\\\\d+)\", # waited-for-children kernel mode jiffies count\n \"(?P<priority>-?\\\\d+)\", # real-time priority or raw nice value\n \"(?P<nice>-?\\\\d+)\", # signed nice value in [-19, 19]\n \"(?P<nthreads>-?\\\\d+)\", # number of threads in the process (replaced removed field)\n \"0\", # removed-field placeholder\n \"(?P<start>\\\\d+)\", # process start time in jiffies\n \"(?P<vsize>\\\\d+)\", # bytes of process virtual memory\n \"(?P<rss>-?\\\\d+)\", # resident set size minus three\n \"(?P<rlim>\\\\d+)\", # rss limit in bytes\n \"(?P<pbot>\\\\d+)\", # program text bottom address\n \"(?P<ptop>\\\\d+)\", # program text top address\n \"(?P<stack>\\\\d+)\", # stack start address\n \"(?P<esp>\\\\d+)\", # stack pointer address\n \"(?P<eip>\\\\d+)\", # instruction pointer address\n \"(?P<pending>\\\\d+)\", # pending signals bitmap\n \"(?P<blocked>\\\\d+)\", # blocked signals bitmap\n \"(?P<ignored>\\\\d+)\", # ignored signals bitmap\n \"(?P<caught>\\\\d+)\", # caught signals bitmap\n \"(?P<wchan>\\\\d+)\", # process wait channel\n \"\\\\d+\", # zero (in the past, pages swapped)\n \"\\\\d+\", # zero (in the past, childrens' pages swapped)\n \"(?P<dsig>-?\\\\d+)\", # death signal to parent\n \"(?P<cpu>-?\\\\d+)\", # last CPU of execution\n \"(?P<rtprio>\\\\d+)\", # real-time scheduling priority\n \"(?P<policy>\\\\d+)\", # scheduling policy\n \"(?P<blkio>\\\\d+)\", # clock ticks of block I/O delays\n \"(?P<gtime>\\\\d+)\", # process guest time in clock ticks\n \"(?P<cgtime>\\\\d+)\", # waited-for-children's guest time in clock ticks\n ]\n __stat_res = [re.compile(s) for s in __stat_re_strings]\n\n\n# for i in fields:\n# m = ProcessStat.__stat_res[i].match(strings[i])\n\n# self.__d.update(m.groupdict())\n\n\n\n\n # expose the relevant fields\n pid = property(lambda self: int(self.__d[\"pid\"]))\n name = property(lambda self: self.__d[\"name\"])\n state = property(lambda self: self.__d[\"state\"])\n ppid = property(lambda self: int(self.__d[\"ppid\"]))\n pgid = property(lambda self: int(self.__d[\"pgid\"]))\n sid = property(lambda self: int(self.__d[\"sid\"]))\n tty = property(lambda self: int(self.__d[\"tty\"]))\n tty_owner_group = property(lambda self: int(self.__d[\"ttyg\"]))\n flags = property(lambda self: long(self.__d[\"flags\"]))\n minor_faults = property(lambda self: long(self.__d[\"min\"]))\n child_minor_faults = property(lambda self: long(self.__d[\"cmin\"]))\n major_faults = property(lambda self: long(self.__d[\"maj\"]))\n child_major_faults = property(lambda self: long(self.__d[\"cmaj\"]))\n user_time = property(lambda self: self.__ticks_to_timedelta(self.__d[\"utime\"]))\n kernel_time = property(lambda self: self.__ticks_to_timedelta(self.__d[\"stime\"]))\n child_user_time = property(lambda self: self.__ticks_to_timedelta(self.__d[\"cutime\"]))\n child_kernel_time = property(lambda self: self.__ticks_to_timedelta(self.__d[\"cstime\"]))\n priority = property(lambda self: int(self.__d[\"priority\"]))\n nice = property(lambda self: int(self.__d[\"nice\"]))\n threads = property(lambda self: int(self.__d[\"nthreads\"]))\n start_time = property(lambda self: self.__ticks_to_timedelta(self.__d[\"start\"]))\n virtual_size = property(lambda self: long(self.__d[\"vsize\"]))\n resident_set_size = property(lambda self: int(self.__d[\"rss\"]))\n resident_set_limit = property(lambda self: long(self.__d[\"rlim\"]))\n text_bottom = property(lambda self: long(self.__d[\"pbot\"]))\n text_top = property(lambda self: long(self.__d[\"ptop\"]))\n stack_start = property(lambda self: long(self.__d[\"stack\"]))\n stack_pointer = property(lambda self: long(self.__d[\"esp\"]))\n instruction_pointer = property(lambda self: long(self.__d[\"eip\"]))\n pending_signals = property(lambda self: long(self.__d[\"pending\"]))\n blocked_signals = property(lambda self: long(self.__d[\"blocked\"]))\n ignored_signals = property(lambda self: long(self.__d[\"ignored\"]))\n caught_signals = property(lambda self: long(self.__d[\"caught\"]))\n wait_channel = property(lambda self: long(self.__d[\"wchan\"]))\n exit_signal = property(lambda self: int(self.__d[\"dsig\"]))\n last_cpu = property(lambda self: int(self.__d[\"cpu\"]))\n priority = property(lambda self: long(self.__d[\"rtprio\"]))\n policy = property(lambda self: long(self.__d[\"policy\"]))\n io_delay = property(lambda self: long(self.__d[\"blkio\"]))\n guest_time = property(lambda self: self.__ticks_to_timedelta(self.__d[\"gtime\"]))\n child_guest_time = property(lambda self: self.__ticks_to_timedelta(self.__d[\"cgtime\"]))", "metadata": "root.ProcessStat", "header": "['module', '___EOS___']", "index": 9 } ]

[ { "span": "priority ", "start_line": 139, "start_column": 4, "end_line": 139, "end_column": 12 } ]

[ { "span": "priority ", "start_line": 158, "start_column": 4, "end_line": 158, "end_column": 12 } ]

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2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 0, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 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[ { "content": "import logging\nfrom utils import _pprint\nfrom pandas import Series, concat\nfrom scipy.stats import norm\nimport random\nimport hashlib\nimport math\nimport copy\nimport numpy as np\nfrom sklearn import cross_validation, ensemble, linear_model\n\n\n\n\n\n\n\n\n\n\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class Selector(object):\n", "metadata": "root.Selector", "header": "['module', '___EOS___']", "index": 12 }, { "content": " def __init__(self, verbose=False):\n self.verbose = verbose", "metadata": "root.Selector.__init__", "header": "['class', 'Selector', '(', 'object', ')', ':', '___EOS___']", "index": 13 }, { "content": " def __repr__(self):\n return '%s(%s)'%(self.__class__.__name__, _pprint(self.__dict__))", "metadata": "root.Selector.__repr__", "header": "['class', 'Selector', '(', 'object', ')', ':', '___EOS___']", "index": 16 }, { "content": "class RandomForestSelector(Selector):\n\n\n# sets = [[t[1] for t in imps[:i+1]] for i in range(len(imps))]\n# return sets\n", "metadata": "root.RandomForestSelector", "header": "['module', '___EOS___']", "index": 20 }, { "content": " def __init__(self, n=100, thresh=None, min_=True, classifier=True,\n seed=2345, *args, **kwargs):\n self.n = n\n self.min = min_\n self.thresh = thresh\n self.seed = seed\n self.classifier = classifier\n super(RandomForestSelector, self).__init__(*args, **kwargs)", "metadata": "root.RandomForestSelector.__init__", "header": "['class', 'RandomForestSelector', '(', 'Selector', ')', ':', '___EOS___']", "index": 22 }, { "content": " def select(self, x, y, n_keep):\n cls = ensemble.RandomForestRegressor\n if self.classifier:\n cls = ensemble.RandomForestClassifier\n rf = cls(n_estimators=self.n,\n random_state=self.seed,\n n_jobs=-1)\n rf.fit(x.values, y.values)\n importances = rf.feature_importances_\n imps = sorted(zip(importances, x.columns),\n reverse=True)\n for i, x in enumerate(imps):\n imp, f = x\n logging.debug('%d\\t%0.4f\\t%s'%(i,imp, f))\n if self.thresh:\n imps = [t for t in imps if t[0] > self.thresh]\n return [t[1] for t in imps[:n_keep]]", "metadata": "root.RandomForestSelector.select", "header": "['class', 'RandomForestSelector', '(', 'Selector', ')', ':', '___EOS___']", "index": 31 }, { "content": " def sets_cv(self, x, y):\n totals = [0]*len(x.columns)\n if self.min:\n totals = [1000] * len(x.columns)\n i = 0\n for train, test in cross_validation.KFold(n=len(y), k=4):\n i += 1\n logging.info(\"RF selector computing importances for fold {i}\".format(i=i))\n cls = ensemble.RandomForestRegressor\n if self.classifier:\n cls = ensemble.RandomForestClassifier\n rf = cls(n_estimators=self.n,\n random_state=self.seed,\n n_jobs=-1)\n rf.fit(x.values[train], y.values[train])\n importances = rf.feature_importances_\n if self.min:\n totals = [min(imp, t) for imp, t in zip(importances, totals)]\n else:\n totals = [imp + t for imp, t in zip(importances, totals)]\n imps = sorted(zip(totals, x.columns),\n reverse=True)\n for i, x in enumerate(imps):\n imp, f = x\n logging.debug('%d\\t%0.4f\\t%s' % (i, imp, f))\n if self.thresh:\n imps = [t for t in imps if t[0] > self.thresh]\n sets = [[t[1] for t in imps[:i+1]] for i in range(len(imps))]\n return sets", "metadata": "root.RandomForestSelector.sets_cv", "header": "['class', 'RandomForestSelector', '(', 'Selector', ')', ':', '___EOS___']", "index": 51 }, { "content": "class StepwiseForwardSelector(Selector):\n", "metadata": "root.StepwiseForwardSelector", "header": "['module', '___EOS___']", "index": 82 }, { "content": " def __init__(self, n=100, min_=True):\n self.n = n\n self.min = min_", "metadata": "root.StepwiseForwardSelector.__init__", "header": "['class', 'StepwiseForwardSelector', '(', 'Selector', ')', ':', '___EOS___']", "index": 83 }, { "content": " def sets(self, x, y):\n lm = linear_model.LinearRegression(normalize=True)\n remaining = x.columns\n curr = []\n logging.debug(\"stepwise forward\")\n for i in range(self.n):\n if i % 10 == 0:\n logging.debug(\"{i} features\".format(i=i))\n coefs = []\n for col in remaining:\n cols = curr + [col]\n fcf = 1e12\n for train, test in cross_validation.KFold(n=len(y), k=4):\n # computes fits over folds, uses lowest computed\n # coefficient as value for comparison\n lm.fit(x[cols].values[train], y.values[train])\n cf = lm.coef_[-1]\n if np.isnan(x[col].std()) or x[col].std() < 1e-7:\n cf = 0\n cf = abs(cf)\n fcf = min(cf, fcf)\n coefs.append(fcf)\n coef, col = max(zip(coefs, remaining))\n logging.debug(\"adding column: {col}\".format(col=col))\n curr.append(col)\n remaining = remaining.drop([col])\n yield list(curr)", "metadata": "root.StepwiseForwardSelector.sets", "header": "['class', 'StepwiseForwardSelector', '(', 'Selector', ')', ':', '___EOS___']", "index": 87 }, { "content": "class LassoPathSelector(Selector):\n", "metadata": "root.LassoPathSelector", "header": "['module', '___EOS___']", "index": 116 }, { "content": " def sets(self, x, y, n_keep):\n alphas, active, coef_path = linear_model.lars_path(x.values, y.values)\n sets = []\n seen = set()\n logging.debug(coef_path)\n for coefs in coef_path.T:\n cols = [x.columns[i] for i in range(len(coefs)) if coefs[i] > 1e-9]\n if len(cols) >= n_keep:\n return cols\n return cols", "metadata": "root.LassoPathSelector.sets", "header": "['class', 'LassoPathSelector', '(', 'Selector', ')', ':', '___EOS___']", "index": 118 }, { "content": "class BinaryFeatureSelector(Selector):\n \"\"\" Only for classification and binary(-able) features \"\"\"\n\n\n\n", "metadata": "root.BinaryFeatureSelector", "header": "['module', '___EOS___']", "index": 130 }, { "content": " def __init__(self, type='bns', *args, **kwargs):\n \"\"\" type in ('ig', 'bns', 'acc')\n see: jmlr.csail.mit.edu/papers/volume3/forman03a/forman03a.pdf\"\"\"\n self.type = type\n super(BinaryFeatureSelector, self).__init__(*args, **kwargs)", "metadata": "root.BinaryFeatureSelector.__init__", "header": "['class', 'BinaryFeatureSelector', '(', 'Selector', ')', ':', '___EOS___']", "index": 133 }, { "content": " def select(self, x, y, n_keep):\n cnts = y.value_counts()\n logging.info(\"Computing binary feature scores for %d features...\" % len(x.columns))\n if len(cnts) > 2:\n scores = self.round_robin(x, y, n_keep)\n else:\n scores = self.rank(x, y)\n scores = [s[1] for s in scores]\n logging.debug(scores[:200])\n return scores[:n_keep]", "metadata": "root.BinaryFeatureSelector.select", "header": "['class', 'BinaryFeatureSelector', '(', 'Selector', ')', ':', '___EOS___']", "index": 139 }, { "content": " def round_robin(self, x, y, n_keep):\n \"\"\" Ensures all classes get representative features, not just those with strong features \"\"\"\n vals = y.unique()\n scores = {}\n for cls in vals:\n scores[cls] = self.rank(x, np.equal(cls, y).astype('Int64'))\n scores[cls].reverse()\n keepers = set()\n while len(keepers) < n_keep:\n for cls in vals:\n keepers.add(scores[cls].pop()[1])\n return list(keepers)", "metadata": "root.BinaryFeatureSelector.round_robin", "header": "['class', 'BinaryFeatureSelector', '(', 'Selector', ')', ':', '___EOS___']", "index": 150 }, { "content": " def rank(self, x, y):\n cnts = y.value_counts()\n scores = []\n\n def e(x, y):\n if abs(y) < .000000001:\n yx = 0\n lyx = 0\n else:\n yx = y / (x + y)\n lyx = math.log(y / (x + y))\n if abs(x) < .000000001:\n xy = 0\n lxy = 0\n else:\n xy = x / (x + y)\n lxy = math.log(x / (x + y))\n return - xy * lxy - yx * lyx\n\n for c in x.columns:\n true_positives = float(np.count_nonzero(np.logical_and(x[c], y)))\n false_positives = float(np.count_nonzero(np.logical_and(x[c], np.logical_not(y))))\n pos = float(cnts[1])\n neg = float(cnts[0])\n n = pos + neg\n if self.type == 'bns':\n tpr = max(0.0005, true_positives / pos)\n fpr = max(0.0005, false_positives / neg)\n tpr = min(.9995, tpr)\n fpr = min(.9995, fpr)\n score = abs(norm.ppf(tpr) - norm.ppf(fpr))\n elif self.type == 'acc':\n score = abs(tpr - fpr)\n elif self.type == 'ig':\n score = e(pos, neg) - ( (true_positives + false_positives) / n * e(true_positives, false_positives)\n + (1 - (true_positives + false_positives) / n) * e(pos - true_positives, neg - false_positives))\n scores.append((score, c))\n scores.sort(reverse=True)\n return scores", "metadata": "root.BinaryFeatureSelector.rank", "header": "['class', 'BinaryFeatureSelector', '(', 'Selector', ')', ':', '___EOS___']", "index": 163 }, { "content": "class InformationGainSelector(Selector):\n \"\"\" Only for binary classification \"\"\"\n", "metadata": "root.InformationGainSelector", "header": "['module', '___EOS___']", "index": 204 }, { "content": " def sets(self, x, y, n_keep):\n cnts = y.value_counts()\n assert(len(cnts) == 2)\n logging.info(\"Computing IG scores...\")\n scores = []\n for c in x.columns:\n true_positives = sum(np.logical_and(x[c], y))\n false_positives = sum(np.logical_and(x[c], np.logical_not(y)))\n score = abs(norm.ppf(true_positives / float(cnts[1])) - norm.ppf(false_positives / float(cnts[0])))\n scores.append((score, c))\n scores.sort(reverse=True)\n return [s[1] for s in scores[:n_keep]]", "metadata": "root.InformationGainSelector.sets", "header": "['class', 'InformationGainSelector', '(', 'Selector', ')', ':', '___EOS___']", "index": 207 } ]

[ { "span": "from pandas import Series, concat", "start_line": 2, "start_column": 0, "end_line": 2, "end_column": 33 }, { "span": "import random", "start_line": 4, "start_column": 0, "end_line": 4, "end_column": 13 }, { "span": "import hashlib", "start_line": 5, "start_column": 0, "end_line": 5, "end_column": 14 }, { "span": "import copy", "start_line": 7, "start_column": 0, "end_line": 7, "end_column": 11 } ]

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[ { "content": "class UserAuthnMethod(object):\n\n\n", "metadata": "root.UserAuthnMethod", "header": "['module', '___EOS___']", "index": 27 }, { "content": " def __init__(self, srv):\n self.srv = srv", "metadata": "root.UserAuthnMethod.__init__", "header": "['class', 'UserAuthnMethod', '(', 'object', ')', ':', '___EOS___']", "index": 28 }, { "content": " def __call__(self, *args, **kwargs):\n raise NotImplemented", "metadata": "root.UserAuthnMethod.__call__", "header": "['class', 'UserAuthnMethod', '(', 'object', ')', ':', '___EOS___']", "index": 31 }, { "content": " def authenticated_as(self, **kwargs):\n raise NotImplemented", "metadata": "root.UserAuthnMethod.authenticated_as", "header": "['class', 'UserAuthnMethod', '(', 'object', ')', ':', '___EOS___']", "index": 34 }, { "content": " def verify(self, **kwargs):\n raise NotImplemented", "metadata": "root.UserAuthnMethod.verify", "header": "['class', 'UserAuthnMethod', '(', 'object', ')', ':', '___EOS___']", "index": 37 }, { "content": "class UsernamePasswordMako(UserAuthnMethod):\n \"\"\"Do user authentication using the normal username password form\n using Mako as template system\"\"\"\n cookie_name = \"userpassmako\"\n\n\n\n\n\n", "metadata": "root.UsernamePasswordMako", "header": "['module', '___EOS___']", "index": 103 }, { "content": " def __init__(self, srv, mako_template, template_lookup, pwd, return_to):\n \"\"\"\n :param srv: The server instance\n :param mako_template: Which Mako template to use\n :param pwd: Username/password dictionary like database\n :param return_to: Where to send the user after authentication\n :return:\n \"\"\"\n UserAuthnMethod.__init__(self, srv)\n self.mako_template = mako_template\n self.template_lookup = template_lookup\n self.passwd = pwd\n self.return_to = return_to\n self.active = {}\n self.query_param = \"upm_answer\"\n self.aes = AESCipher(self.srv.symkey, srv.iv)", "metadata": "root.UsernamePasswordMako.__init__", "header": "['class', 'UsernamePasswordMako', '(', 'UserAuthnMethod', ')', ':', '___EOS___']", "index": 108 }, { "content": " def __call__(self, cookie=None, policy_url=None, logo_url=None,\n query=\"\", **kwargs):\n \"\"\"\n Put up the login form\n \"\"\"\n if cookie:\n headers = [cookie]\n else:\n headers = []\n\n resp = Response(headers=headers)\n\n argv = {\"login\": \"\",\n \"password\": \"\",\n \"action\": \"verify\",\n \"policy_url\": policy_url,\n \"logo_url\": logo_url,\n \"query\": query}\n logger.info(\"do_authentication argv: %s\" % argv)\n mte = self.template_lookup.get_template(self.mako_template)\n resp.message = mte.render(**argv)\n return resp", "metadata": "root.UsernamePasswordMako.__call__", "header": "['class', 'UsernamePasswordMako', '(', 'UserAuthnMethod', ')', ':', '___EOS___']", "index": 125 }, { "content": " def _verify(self, pwd, user):\n assert is_equal(pwd, self.passwd[user])", "metadata": "root.UsernamePasswordMako._verify", "header": "['class', 'UsernamePasswordMako', '(', 'UserAuthnMethod', ')', ':', '___EOS___']", "index": 148 }, { "content": " def verify(self, request, **kwargs):\n \"\"\"\n Verifies that the given username and password was correct\n :param request: Either the query part of a URL a urlencoded\n body of a HTTP message or a parse such.\n :param kwargs: Catch whatever else is sent.\n :return: redirect back to where ever the base applications\n wants the user after authentication.\n \"\"\"\n\n #logger.debug(\"verify(%s)\" % request)\n if isinstance(request, basestring):\n _dict = parse_qs(request)\n elif isinstance(request, dict):\n _dict = request\n else:\n raise ValueError(\"Wrong type of input\")\n\n # verify username and password\n try:\n self._verify(_dict[\"password\"][0], _dict[\"login\"][0])\n timestamp = str(int(time.mktime(time.gmtime())))\n info = self.aes.encrypt(\"::\".join([_dict[\"login\"][0], timestamp]))\n self.active[info] = timestamp\n cookie = make_cookie(self.cookie_name, info, self.srv.seed)\n return_to = create_return_url(self.return_to, _dict[\"query\"][0],\n **{self.query_param: \"true\"})\n resp = Redirect(return_to, headers=[cookie])\n except (AssertionError, KeyError):\n resp = Unauthorized(\"Unknown user or wrong password\")\n\n return resp", "metadata": "root.UsernamePasswordMako.verify", "header": "['class', 'UsernamePasswordMako', '(', 'UserAuthnMethod', ')', ':', '___EOS___']", "index": 151 }, { "content": " def authenticated_as(self, cookie=None, **kwargs):\n if cookie is None:\n return None\n else:\n logger.debug(\"kwargs: %s\" % kwargs)\n try:\n info, timestamp = parse_cookie(self.cookie_name,\n self.srv.seed, cookie)\n if self.active[info] == timestamp:\n uid, _ts = self.aes.decrypt(info).split(\"::\")\n if timestamp == _ts:\n return {\"uid\": uid}\n except Exception:\n pass\n\n return None", "metadata": "root.UsernamePasswordMako.authenticated_as", "header": "['class', 'UsernamePasswordMako', '(', 'UserAuthnMethod', ')', ':', '___EOS___']", "index": 184 }, { "content": " def done(self, areq):\n try:\n _ = areq[self.query_param]\n return False\n except KeyError:\n return True", "metadata": "root.UsernamePasswordMako.done", "header": "['class', 'UsernamePasswordMako', '(', 'UserAuthnMethod', ')', ':', '___EOS___']", "index": 201 } ]

[ { "span": "def verify(self, request, **kwargs):", "start_line": 151, "start_column": 4, "end_line": 151, "end_column": 40 } ]

[ { "span": "def verify(self, **kwargs):", "start_line": 37, "start_column": 4, "end_line": 37, "end_column": 31 } ]

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[ { "content": "def str_match_SA(parser, node, children):\n try:\n to_match = children[0]\n except:\n to_match = ''\n\n # Support for autokwd metamodel param.\n if parser.metamodel.autokwd:\n match = parser.keyword_regex.match(to_match)\n if match and match.span() == (0, len(to_match)):\n regex_match = RegExMatch(r'{}\\b'.format(to_match),\n ignore_case=parser.metamodel.ignore_case,\n str_repr=to_match)\n regex_match.compile()\n return regex_match\n return StrMatch(to_match, ignore_case=parser.metamodel.ignore_case)", "metadata": "root.str_match_SA", "header": "['module', '___EOS___']", "index": 692 }, { "content": "def re_match_SA(parser, node, children):\n try:\n to_match = children[0]\n except:\n to_match = ''\n regex = RegExMatch(to_match, ignore_case=parser.metamodel.ignore_case)\n try:\n regex.compile()\n except Exception as e:\n line, col = parser.pos_to_linecol(node[1].position)\n raise TextXSyntaxError(\n \"{} at {}\"\n .format(text(e), text((line, col))), line, col)\n return regex", "metadata": "root.re_match_SA", "header": "['module', '___EOS___']", "index": 711 } ]

[ { "span": "except:", "start_line": 695, "start_column": 4, "end_line": 695, "end_column": 11 }, { "span": "except:", "start_line": 714, "start_column": 4, "end_line": 714, "end_column": 11 } ]

[]

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[ { "content": " def test_no_attrs(self):\n graph_node = GraphNode()\n self.assertTrue(hasattr(graph_node, 'parents'))\n self.assertTrue(hasattr(graph_node, 'children'))\n self.assertTrue(graph_node.attributes is None)\n dummy_key = 1\n key = graph_node.unpack(dummy_key)\n self.assertTrue(key == dummy_key)", "metadata": "root.TestGraphNode.test_no_attrs", "header": "['class', 'TestGraphNode', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 23 }, { "content": " def test_attrs(self):\n graph_node = GraphNode(self.myattrs)\n self.assertTrue(len(graph_node.attributes) == 1)\n self.assertTrue(graph_node.attributes['attr'] == 1)", "metadata": "root.TestGraphNode.test_attrs", "header": "['class', 'TestGraphNode', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 32 }, { "content": " def test_int_attrs(self):\n metadata = 3\n graph_node = GraphNode(metadata)\n self.assertTrue( graph_node.attributes == metadata)\n dummy_key = 1\n key, attrs = graph_node.unpack(dummy_key)\n self.assertTrue(attrs == metadata)\n self.assertTrue(key == dummy_key)", "metadata": "root.TestGraphNode.test_int_attrs", "header": "['class', 'TestGraphNode', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 37 }, { "content": " def test_nodes(self):\n wait = False\n self.assertTrue(len(self.g) == 3)\n for n in self.nodes:\n self.assertTrue(n in self.g)\n for n in self.g.nodes:\n self.assertTrue(n in self.nodes)\n self.g.remove(2)\n self.assertTrue(1 in self.g)\n self.assertTrue(3 in self.g)\n self.assertFalse(2 in self.g)\n self.assertFalse(4 in self.g)\n self.assertTrue(len(self.g) == 2)\n self.assertFalse(self.g.is_empty())\n self.g.remove(1)\n self.g.remove(3)\n self.assertTrue(self.g.is_empty())", "metadata": "root.TestCaseIslands.test_nodes", "header": "['class', 'TestCaseIslands', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 66 }, { "content": " def _test_bridge_nodes(self, iterable):\n for x in iterable:\n bridge_nodes = list(self.g.get_bridge_nodes(x))\n self.assertTrue(len(bridge_nodes) == 1)\n self.assertTrue(bridge_nodes[0] == x+1)", "metadata": "root.TestCaseSanity._test_bridge_nodes", "header": "['class', 'TestCaseSanity', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 99 }, { "content": " def _test_node_exists(self, iterable):\n for x in iterable:\n self.assertTrue(x in self.g)", "metadata": "root.TestCaseSanity._test_node_exists", "header": "['class', 'TestCaseSanity', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 105 }, { "content": " def test_remove(self):\n for s in xrange(1, 5):\n self.assertTrue(s in self.g)\n self.g.remove(s)\n self.assertFalse(s in self.g)\n # make sure other nodes are still there. \n self._test_node_exists(xrange(s+1,7))\n self._test_bridge_nodes(xrange(s+1,5))", "metadata": "root.TestCaseSanity.test_remove", "header": "['class', 'TestCaseSanity', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 124 }, { "content": " def test_remove_middle(self):\n self.assertTrue(2 in self.g)\n self.g.remove(2)\n self.assertFalse(2 in self.g)\n self.assertTrue(1 in self.g)\n self.assertFalse(self.g.has_child(1))\n for n in xrange(3,7):\n self.assertTrue(n in self.g)\n for x in xrange(3,6):\n self.assertTrue(self.g.has_child(x))", "metadata": "root.TestCaseSanity.test_remove_middle", "header": "['class', 'TestCaseSanity', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 133 }, { "content": " def test_start_nodes(self):\n start_nodes = set(self.g.get_start_nodes())\n self.assertTrue(len(start_nodes)==3)\n for x in xrange(1,6,2):\n self.assertTrue(x in start_nodes)", "metadata": "root.TestCaseParallel.test_start_nodes", "header": "['class', 'TestCaseParallel', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 159 }, { "content": " def test_bridge_nodes(self):\n # bridges nodes of 1,3,5 are 2,4,6 respectively.\n for x in xrange(1,6,2):\n bnodes = list(self.g.get_bridge_nodes(x))\n self.assertTrue(len(bnodes)==1)\n self.assertTrue(x+1 == bnodes[0])\n # no bridge nodes for 2,4,6\n for x in xrange(2,7,2):\n bnodes = list(self.g.get_bridge_nodes(x))\n self.assertTrue(len(bnodes)==0)", "metadata": "root.TestCaseParallel.test_bridge_nodes", "header": "['class', 'TestCaseParallel', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 165 }, { "content": " def test_attribute(self):\n for n, attr in self.g.nodes:\n self.assertTrue(attr['name'] == n)", "metadata": "root.TestAttributeGraph.test_attribute", "header": "['class', 'TestAttributeGraph', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 187 }, { "content": " def test_start_nodes(self):\n start_nodes = list(self.g.get_start_nodes())\n self.assertTrue(len(start_nodes)==1)\n node, attr = start_nodes[0]\n self.assertTrue(node == 1)\n self.assertTrue(node == 1)", "metadata": "root.TestAttributeGraph.test_start_nodes", "header": "['class', 'TestAttributeGraph', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 191 }, { "content": " def test_bridge_nodes(self):\n bridge_nodes = list(self.g.get_bridge_nodes(1))\n self.assertTrue(len(bridge_nodes)==1)\n node, attr = bridge_nodes[0]\n self.assertTrue(node== 2)\n self.assertTrue(attr['name'] == 2)", "metadata": "root.TestAttributeGraph.test_bridge_nodes", "header": "['class', 'TestAttributeGraph', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 198 }, { "content": " def test_properties(self):\n for n, prop in self.g.nodes:\n self.assertTrue(prop.name == n)", "metadata": "root.TestPropertiesGraph.test_properties", "header": "['class', 'TestPropertiesGraph', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 216 }, { "content": " def test_bridge_nodes(self):\n bridge_nodes = list(self.g.get_bridge_nodes(1))\n self.assertTrue(len(bridge_nodes)==1)\n node, prop = bridge_nodes[0]\n self.assertTrue(prop.name == 2)", "metadata": "root.TestPropertiesGraph.test_bridge_nodes", "header": "['class', 'TestPropertiesGraph', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 220 } ]

[ { "span": "self.assertTrue(graph_node.attributes is None)", "start_line": 27, "start_column": 4, "end_line": 27, "end_column": 50 }, { "span": "self.assertTrue(key == dummy_key)", "start_line": 30, "start_column": 4, "end_line": 30, "end_column": 37 }, { "span": "self.assertTrue(len(graph_node.attributes) == 1)", "start_line": 34, "start_column": 4, "end_line": 34, "end_column": 52 }, { "span": "self.assertTrue(graph_node.attributes['attr'] == 1)", "start_line": 35, "start_column": 4, "end_line": 35, "end_column": 55 }, { "span": "self.assertTrue( graph_node.attributes == metadata)", "start_line": 40, "start_column": 4, "end_line": 40, "end_column": 55 }, { "span": "self.assertTrue(attrs == metadata)", "start_line": 43, "start_column": 4, "end_line": 43, "end_column": 38 }, { "span": "self.assertTrue(key == dummy_key)", "start_line": 44, "start_column": 4, "end_line": 44, "end_column": 37 }, { "span": "self.assertTrue(len(self.g) == 3)", "start_line": 68, "start_column": 4, "end_line": 68, "end_column": 37 }, { "span": "self.assertTrue(n in self.g)", "start_line": 70, "start_column": 6, "end_line": 70, "end_column": 34 }, { "span": "self.assertTrue(n in self.nodes)", "start_line": 72, "start_column": 6, "end_line": 72, "end_column": 38 }, { "span": "self.assertTrue(1 in self.g)", "start_line": 74, "start_column": 4, "end_line": 74, "end_column": 32 }, { "span": "self.assertTrue(3 in self.g)", "start_line": 75, "start_column": 4, "end_line": 75, "end_column": 32 }, { "span": "self.assertFalse(2 in self.g)", "start_line": 76, "start_column": 4, "end_line": 76, "end_column": 33 }, { "span": "self.assertFalse(4 in self.g)", "start_line": 77, "start_column": 4, "end_line": 77, "end_column": 33 }, { "span": "self.assertTrue(len(self.g) == 2)", "start_line": 78, "start_column": 4, "end_line": 78, "end_column": 37 }, { "span": "self.assertTrue(len(bridge_nodes) == 1)", "start_line": 102, "start_column": 6, "end_line": 102, "end_column": 45 }, { "span": "self.assertTrue(bridge_nodes[0] == x+1)", "start_line": 103, "start_column": 6, "end_line": 103, "end_column": 45 }, { "span": "self.assertTrue(x in self.g)", "start_line": 107, "start_column": 6, "end_line": 107, "end_column": 34 }, { "span": "self.assertTrue(s in self.g)", "start_line": 126, "start_column": 6, "end_line": 126, "end_column": 34 }, { "span": "self.assertFalse(s in self.g)", "start_line": 128, "start_column": 6, "end_line": 128, "end_column": 35 }, { "span": "self.assertTrue(2 in self.g)", "start_line": 134, "start_column": 4, "end_line": 134, "end_column": 32 }, { "span": "self.assertFalse(2 in self.g)", "start_line": 136, "start_column": 4, "end_line": 136, "end_column": 33 }, { "span": "self.assertTrue(1 in self.g)", "start_line": 137, "start_column": 4, "end_line": 137, "end_column": 32 }, { "span": "self.assertTrue(n in self.g)", "start_line": 140, "start_column": 6, "end_line": 140, "end_column": 34 }, { "span": "self.assertTrue(len(start_nodes)==3)", "start_line": 161, "start_column": 4, "end_line": 161, "end_column": 40 }, { "span": "self.assertTrue(x in start_nodes)", "start_line": 163, "start_column": 6, "end_line": 163, "end_column": 39 }, { "span": "self.assertTrue(len(bnodes)==1)", "start_line": 169, "start_column": 6, "end_line": 169, "end_column": 37 }, { "span": "self.assertTrue(x+1 == bnodes[0])", "start_line": 170, "start_column": 6, "end_line": 170, "end_column": 39 }, { "span": "self.assertTrue(len(bnodes)==0)", "start_line": 174, "start_column": 6, "end_line": 174, "end_column": 37 }, { "span": "self.assertTrue(attr['name'] == n)", "start_line": 189, "start_column": 6, "end_line": 189, "end_column": 40 }, { "span": "self.assertTrue(len(start_nodes)==1)", "start_line": 193, "start_column": 4, "end_line": 193, "end_column": 40 }, { "span": "self.assertTrue(node == 1)", "start_line": 195, "start_column": 4, "end_line": 195, "end_column": 30 }, { "span": "self.assertTrue(node == 1)", "start_line": 196, "start_column": 4, "end_line": 196, "end_column": 30 }, { "span": "self.assertTrue(len(bridge_nodes)==1)", "start_line": 200, "start_column": 4, "end_line": 200, "end_column": 41 }, { "span": "self.assertTrue(node== 2)", "start_line": 202, "start_column": 4, "end_line": 202, "end_column": 29 }, { "span": "self.assertTrue(attr['name'] == 2)", "start_line": 203, "start_column": 4, "end_line": 203, "end_column": 38 }, { "span": "self.assertTrue(prop.name == n)", "start_line": 218, "start_column": 6, "end_line": 218, "end_column": 37 }, { "span": "self.assertTrue(len(bridge_nodes)==1)", "start_line": 222, "start_column": 4, "end_line": 222, "end_column": 41 }, { "span": "self.assertTrue(prop.name == 2)", "start_line": 224, "start_column": 4, "end_line": 224, "end_column": 35 } ]

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[ { "content": " def run_wfunc(self):\n '''\n Execute a wrapper function\n\n Returns tuple of (json_data, '')\n '''\n # Ensure that opts/grains are up to date\n # Execute routine\n data_cache = False\n data = None\n cdir = os.path.join(self.opts['cachedir'], 'minions', self.id)\n if not os.path.isdir(cdir):\n os.makedirs(cdir)\n datap = os.path.join(cdir, 'ssh_data.p')\n refresh = False\n if not os.path.isfile(datap):\n refresh = True\n else:\n passed_time = (time.time() - os.stat(datap).st_mtime) / 60\n if passed_time > self.opts.get('cache_life', 60):\n refresh = True\n\n if self.opts.get('refresh_cache'):\n refresh = True\n conf_grains = {}\n # Save conf file grains before they get clobbered\n if 'ssh_grains' in self.opts:\n conf_grains = self.opts['ssh_grains']\n if not data_cache:\n refresh = True\n if refresh:\n # Make the datap\n # TODO: Auto expire the datap\n pre_wrapper = salt.client.ssh.wrapper.FunctionWrapper(\n self.opts,\n self.id,\n fsclient=self.fsclient,\n minion_opts=self.minion_opts,\n **self.target)\n opts_pkg = pre_wrapper['test.opts_pkg']() # pylint: disable=E1102\n opts_pkg['file_roots'] = self.opts['file_roots']\n opts_pkg['pillar_roots'] = self.opts['pillar_roots']\n opts_pkg['ext_pillar'] = self.opts['ext_pillar']\n opts_pkg['extension_modules'] = self.opts['extension_modules']\n opts_pkg['_ssh_version'] = self.opts['_ssh_version']\n opts_pkg['__master_opts__'] = self.context['master_opts']\n if '_caller_cachedir' in self.opts:\n opts_pkg['_caller_cachedir'] = self.opts['_caller_cachedir']\n else:\n opts_pkg['_caller_cachedir'] = self.opts['cachedir']\n # Use the ID defined in the roster file\n opts_pkg['id'] = self.id\n\n retcode = 0\n\n if '_error' in opts_pkg:\n #Refresh failed\n retcode = opts_pkg['retcode']\n ret = json.dumps({'local': opts_pkg['_error']})\n return ret, retcode\n\n pillar = salt.pillar.Pillar(\n opts_pkg,\n opts_pkg['grains'],\n opts_pkg['id'],\n opts_pkg.get('environment', 'base')\n )\n pillar_dirs = {}\n pillar_data = pillar.compile_pillar(pillar_dirs=pillar_dirs)\n\n # TODO: cache minion opts in datap in master.py\n data = {'opts': opts_pkg,\n 'grains': opts_pkg['grains'],\n 'pillar': pillar_data}\n if data_cache:\n with salt.utils.fopen(datap, 'w+b') as fp_:\n fp_.write(\n self.serial.dumps(data)\n )\n if not data and data_cache:\n with salt.utils.fopen(datap, 'rb') as fp_:\n data = self.serial.load(fp_)\n opts = data.get('opts', {})\n opts['grains'] = data.get('grains')\n\n # Restore master grains\n for grain in conf_grains:\n opts['grains'][grain] = conf_grains[grain]\n # Enable roster grains support\n if 'grains' in self.target:\n for grain in self.target['grains']:\n opts['grains'][grain] = self.target['grains'][grain]\n\n opts['pillar'] = data.get('pillar')\n wrapper = salt.client.ssh.wrapper.FunctionWrapper(\n opts,\n self.id,\n fsclient=self.fsclient,\n minion_opts=self.minion_opts,\n **self.target)\n self.wfuncs = salt.loader.ssh_wrapper(opts, wrapper, self.context)\n wrapper.wfuncs = self.wfuncs\n\n # We're running in the mind, need to fetch the arguments from the\n # roster, pillar, master config (in that order)\n if self.mine:\n mine_args = None\n if self.mine_functions and self.fun in self.mine_functions:\n mine_args = self.mine_functions[self.fun]\n elif opts['pillar'] and self.fun in opts['pillar'].get('mine_functions', {}):\n mine_args = opts['pillar']['mine_functions'][self.fun]\n elif self.fun in self.context['master_opts'].get('mine_functions', {}):\n mine_args = self.context['master_opts']['mine_functions'][self.fun]\n\n # If we found mine_args, replace our command's args\n if isinstance(mine_args, dict):\n self.args = []\n self.kwargs = mine_args\n elif isinstance(mine_args, list):\n self.args = mine_args\n self.kwargs = {}\n\n try:\n if self.mine:\n result = wrapper[self.fun](*self.args, **self.kwargs)\n else:\n result = self.wfuncs[self.fun](*self.args, **self.kwargs)\n except TypeError as exc:\n result = 'TypeError encountered executing {0}: {1}'.format(self.fun, exc)\n log.error(result, exc_info_on_loglevel=logging.DEBUG)\n retcode = 1\n except Exception as exc:\n result = 'An Exception occurred while executing {0}: {1}'.format(self.fun, exc)\n log.error(result, exc_info_on_loglevel=logging.DEBUG)\n retcode = 1\n # Mimic the json data-structure that \"salt-call --local\" will\n # emit (as seen in ssh_py_shim.py)\n if isinstance(result, dict) and 'local' in result:\n ret = json.dumps({'local': result['local']})\n else:\n ret = json.dumps({'local': {'return': result}})\n return ret, retcode", "metadata": "root.Single.run_wfunc", "header": "['class', 'Single', '(', 'object', ')', ':', '___EOS___']", "index": 812 } ]

[ { "span": "with salt.utils.fopen(datap, 'w+b') as fp_:", "start_line": 887, "start_column": 16, "end_line": 887, "end_column": 59 }, { "span": "with salt.utils.fopen(datap, 'rb') as fp_:", "start_line": 892, "start_column": 12, "end_line": 892, "end_column": 54 } ]

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[ { "content": " def exportChildren(self, lwrite, level, namespace_='CodeObj:', name_='CodeSegmentXORType', fromsubclass_=False, pretty_print=True):\n super(CodeSegmentXORType, self).exportChildren(lwrite, level, 'CodeObj:', name_, True, pretty_print=pretty_print)\n pass", "metadata": "root.CodeSegmentXORType.exportChildren", "header": "['class', 'CodeSegmentXORType', '(', 'cybox_common', '.', 'StringObjectPropertyType', ')', ':', '___EOS___']", "index": 63 }, { "content": " def exportChildren(self, lwrite, level, namespace_='CodeObj:', name_='ProcessorTypeType', fromsubclass_=False, pretty_print=True):\n super(ProcessorTypeType, self).exportChildren(lwrite, level, 'CodeObj:', name_, True, pretty_print=pretty_print)\n pass", "metadata": "root.ProcessorTypeType.exportChildren", "header": "['class', 'ProcessorTypeType', '(', 'cybox_common', '.', 'BaseObjectPropertyType', ')', ':', '___EOS___']", "index": 203 }, { "content": " def exportChildren(self, lwrite, level, namespace_='CodeObj:', name_='CodeLanguageType', fromsubclass_=False, pretty_print=True):\n super(CodeLanguageType, self).exportChildren(lwrite, level, 'CodeObj:', name_, True, pretty_print=pretty_print)\n pass", "metadata": "root.CodeLanguageType.exportChildren", "header": "['class', 'CodeLanguageType', '(', 'cybox_common', '.', 'BaseObjectPropertyType', ')', ':', '___EOS___']", "index": 276 }, { "content": " def exportChildren(self, lwrite, level, namespace_='CodeObj:', name_='CodePurposeType', fromsubclass_=False, pretty_print=True):\n super(CodePurposeType, self).exportChildren(lwrite, level, 'CodeObj:', name_, True, pretty_print=pretty_print)\n pass", "metadata": "root.CodePurposeType.exportChildren", "header": "['class', 'CodePurposeType', '(', 'cybox_common', '.', 'BaseObjectPropertyType', ')', ':', '___EOS___']", "index": 349 }, { "content": " def exportChildren(self, lwrite, level, namespace_='CodeObj:', name_='CodeTypeType', fromsubclass_=False, pretty_print=True):\n super(CodeTypeType, self).exportChildren(lwrite, level, 'CodeObj:', name_, True, pretty_print=pretty_print)\n pass", "metadata": "root.CodeTypeType.exportChildren", "header": "['class', 'CodeTypeType', '(', 'cybox_common', '.', 'BaseObjectPropertyType', ')', ':', '___EOS___']", "index": 422 } ]

[ { "span": "pass", "start_line": 65, "start_column": 8, "end_line": 65, "end_column": 12 }, { "span": "pass", "start_line": 205, "start_column": 8, "end_line": 205, "end_column": 12 }, { "span": "pass", "start_line": 278, "start_column": 8, "end_line": 278, "end_column": 12 }, { "span": "pass", "start_line": 351, "start_column": 8, "end_line": 351, "end_column": 12 }, { "span": "pass", "start_line": 424, "start_column": 8, "end_line": 424, "end_column": 12 } ]

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[ { "content": "def addCmdDocsCallback(cmdName, docstring=''):\n loadCmdDocCache()\n\n cmdInfo = cmdlist[cmdName]\n\n #docstring = cmdInfo['description'] + '\\n\\n' + '\\n'.join(textwrap.wrap(docstring.strip(), DOC_WIDTH))\n\n docstring = '\\n'.join(textwrap.wrap(cmdInfo['description'], DOC_WIDTH)) + '\\n\\n' + docstring.strip()\n\n# if func.__doc__:\n# docstring += func.__doc__ + '\\n\\n'\n\n docstring = docstring.rstrip() + '\\n\\n'\n\n flagDocs = cmdInfo['flags']\n\n if flagDocs and sorted(flagDocs.keys()) != ['edit', 'query']:\n\n widths = [3, 100, 32, 32]\n altwidths = [ widths[0] + widths[1] ] + widths[2:]\n rowsep = ' +' + '+'.join( [ '-'*(w-1) for w in widths ] ) + '+\\n'\n headersep = ' +' + '+'.join( [ '='*(w-1) for w in widths ] ) + '+\\n'\n\n def makerow( items, widths ):\n return ' |' + '|'.join( ' ' + i.ljust(w-2) for i, w in zip( items, widths ) ) + '|\\n'\n\n\n docstring += 'Flags:\\n'\n\n if includeDocExamples:\n docstring += rowsep\n docstring += makerow( ['Long name (short name)', 'Argument Types', 'Properties'], altwidths )\n docstring += headersep\n\n for flag in sorted(flagDocs.keys()):\n if flag in ['edit', 'query']: continue\n docs = flagDocs[flag]\n\n # type\n try:\n typ = docs['args']\n except KeyError, e:\n raise KeyError(\"Error retrieving doc information for: %s, %s\\n%s\" % (cmdName, flag, e))\n if isinstance(typ, list):\n try:\n typ = [ x.__name__ for x in typ ]\n except:\n typ = [ str(x) for x in typ ]\n typ = ', '.join(typ)\n else:\n try:\n typ = typ.__name__\n except: pass\n\n # docstring\n descr = docs.get('docstring', '')\n\n # modes\n tmpmodes = docs.get('modes', [])\n modes = []\n if 'create' in tmpmodes: modes.append('create')\n if 'query' in tmpmodes: modes.append('query')\n if 'edit' in tmpmodes: modes.append('edit')\n\n if includeDocExamples:\n for data in util.izip_longest( ['**%s (%s)**' % (flag, docs['shortname'])],\n textwrap.wrap( '*%s*' % typ, widths[2]-2 ),\n [ '.. image:: /images/%s.gif' % m for m in modes],\n fillvalue='' ):\n docstring += makerow( data, altwidths )\n\n #docstring += makerow( ['**%s (%s)**' % (flag, docs['shortname']), '*%s*' % typ, ''], altwidths )\n #for m in modes:\n # docstring += makerow( ['', '', '.. image:: /images/%s.gif' % m], altwidths )\n\n docstring += rowsep\n\n descr_widths = [widths[0], sum(widths[1:])]\n if descr:\n for line in textwrap.wrap( descr.strip('|'), sum(widths[1:])-2 ):\n docstring += makerow( ['', line], descr_widths )\n # add some filler at the bottom\n docstring += makerow( ['', ' ..'], descr_widths )\n else:\n docstring += makerow( ['', ''], descr_widths )\n\n # empty row for spacing\n #docstring += rowsep\n #docstring += makerow( ['']*len(widths), widths )\n # closing separator\n docstring += rowsep\n\n else:\n descr = '\\n'.join([ ' '+x for x in textwrap.wrap(descr, DOC_WIDTH)])\n # add trailing newline\n descr = descr + '\\n' if descr else ''\n docstring += ' - %s %s [%s]\\n%s\\n' % (\n (flag + ' : ' + docs['shortname']).ljust(30),\n ('('+typ+')').ljust(15),\n ','.join( modes ),\n descr )\n# #modified\n# try:\n# modified = docs['modified']\n# if modified:\n# docstring += ' - modifies: *%s*\\n' % ( ', '.join( modified ))\n# except KeyError: pass\n#\n# #secondary flags\n# try:\n# docstring += ' - secondary flags: *%s*\\n' % ( ', '.join(docs['secondaryFlags'] ))\n# except KeyError: pass\n#\n #args\n\n\n docstring += '\\nDerived from mel command `maya.cmds.%s`\\n' % (cmdName)\n\n if includeDocExamples and cmdInfo.get('example',None):\n #docstring = \".. |create| image:: /images/create.gif\\n.. |edit| image:: /images/edit.gif\\n.. |query| image:: /images/query.gif\\n\\n\" + docstring\n docstring += '\\n\\nExample::\\n\\n' + cmdInfo['example']\n\n return docstring\n\n #func.__doc__ = docstring\n #return func", "metadata": "root.addCmdDocsCallback", "header": "['module', '___EOS___']", "index": 453 }, { "content": "def functionFactory( funcNameOrObject, returnFunc=None, module=None, rename=None, uiWidget=False ):\n \"\"\"\n create a new function, apply the given returnFunc to the results (if any),\n and add to the module given by 'moduleName'. Use pre-parsed command documentation\n to add to __doc__ strings for the command.\n \"\"\"\n\n #if module is None:\n # module = _thisModule\n\n inFunc = None\n if isinstance( funcNameOrObject, basestring ):\n funcName = funcNameOrObject\n\n # make sure that we import from pmcmds, not cmds\n if module and module!=cmds:\n try:\n inFunc = getattr(module, funcName)\n customFunc = True\n except AttributeError:\n #if funcName == 'lsThroughFilter': #_logger.debug(\"function %s not found in module %s\" % ( funcName, module.__name__))\n pass\n\n if not inFunc:\n try:\n inFunc = getattr(pmcmds,funcName)\n customFunc = False\n #if funcName == 'lsThroughFilter': #_logger.debug(\"function %s found in module %s: %s\" % ( funcName, cmds.__name__, inFunc.__name__))\n except AttributeError:\n #_logger.debug('Cannot find function %s' % funcNameOrObject)\n return\n else:\n funcName = pmcmds.getCmdName(funcNameOrObject)\n inFunc = funcNameOrObject\n customFunc = True\n\n # Do some sanity checks...\n if not callable(inFunc):\n _logger.warn('%s not callable' % funcNameOrObject)\n return\n\n cmdInfo = cmdlist[funcName]\n funcType = type(inFunc)\n # python doesn't like unicode function names\n funcName = str(funcName)\n\n if funcType == types.BuiltinFunctionType:\n try:\n newFuncName = inFunc.__name__\n if funcName != newFuncName:\n _logger.warn(\"Function found in module %s has different name than desired: %s != %s. simple fix? %s\" % ( inFunc.__module__, funcName, newFuncName, funcType == types.FunctionType and returnFunc is None))\n except AttributeError:\n _logger.warn(\"%s had no '__name__' attribute\" % inFunc)\n\n timeRangeFlags = _getTimeRangeFlags(funcName)\n\n\n # some refactoring done here - to avoid code duplication (and make things clearer),\n # we now ALWAYS do things in the following order:\n # 1. Perform operations which modify the execution of the function (ie, adding return funcs)\n # 2. Modify the function descriptors - ie, __doc__, __name__, etc\n\n\n # 1. Perform operations which modify the execution of the function (ie, adding return funcs)\n\n newFunc = inFunc\n\n if returnFunc or timeRangeFlags:\n # need to define a seperate var here to hold\n # the old value of newFunc, b/c 'return newFunc'\n # would be recursive\n beforeReturnFunc = newFunc\n def newFuncWithReturnFunc( *args, **kwargs):\n for flag in timeRangeFlags:\n try:\n # allow for open-ended time ranges:\n # (1,None), (1,), slice(1,None), \"1:\"\n # (None,100), slice(100), \":100\"\n # (None,None), \":\"\n val = kwargs[flag]\n except KeyError:\n pass\n else:\n if isinstance(val, slice):\n val = [val.start, val.stop]\n elif isinstance(val, basestring) and val.count(':') == 1:\n val = val.split(':')\n # keep this python 2.4 compatible\n\n for i, v in enumerate(val):\n if not v.strip():\n val[i] = None\n elif isinstance(val, int):\n val = (val,val)\n\n if isinstance(val, (tuple, list) ):\n val = list(val)\n if len(val)==2 :\n if val[0] is None:\n val[0] = cmds.findKeyframe(which='first')\n if val[1] is None:\n val[1] = cmds.findKeyframe(which='last')\n elif len(val)==1:\n val.append( cmds.findKeyframe(which='last') )\n kwargs[flag] = tuple(val)\n\n res = beforeReturnFunc(*args, **kwargs)\n if not kwargs.get('query', kwargs.get('q',False)): # and 'edit' not in kwargs and 'e' not in kwargs:\n if isinstance(res, list):\n # some node commands unnecessarily return a list with a single object\n if cmdInfo.get('resultNeedsUnpacking',False):\n res = returnFunc(res[0])\n else:\n try:\n res = map( returnFunc, res )\n except: pass\n\n elif res:\n try:\n res = returnFunc( res )\n except Exception, e:\n pass\n return res\n newFunc = newFuncWithReturnFunc\n\n if funcName in simpleCommandWraps:\n # simple wraps: we only do these for functions which have not been manually customized\n wraps = simpleCommandWraps[funcName]\n beforeSimpleWrap = newFunc\n def simpleWrapFunc(*args, **kwargs):\n res = beforeSimpleWrap(*args, **kwargs)\n for func, wrapCondition in wraps:\n if wrapCondition.eval(kwargs):\n res = func(res)\n break\n return res\n newFunc = simpleWrapFunc\n doc = 'Modifications:\\n'\n for func, wrapCondition in wraps:\n if wrapCondition != Always:\n # use only the long flag name\n flags = ' for flags: ' + str(wrapCondition)\n elif len(wraps)>1:\n flags = ' for all other flags'\n else:\n flags = ''\n if func.__doc__:\n funcString = func.__doc__.strip()\n else:\n funcString = pmcmds.getCmdName(func) + '(result)'\n doc += ' - ' + funcString + flags + '\\n'\n\n newFunc.__doc__ = doc\n\n #----------------------------\n # UI commands with callbacks\n #----------------------------\n\n callbackFlags = cmdInfo.get('callbackFlags', None)\n if callbackFlags:\n newFunc = fixCallbacks( newFunc, callbackFlags, funcName )\n\n # Check if we have not been wrapped yet. if we haven't and our input function is a builtin or we're renaming\n # then we need a wrap. otherwise we can just change the __doc__ and __name__ and move on\n if newFunc == inFunc and (type(newFunc) == types.BuiltinFunctionType or rename):\n # we'll need a new function: we don't want to touch built-ins, or\n # rename an existing function, as that can screw things up... just modifying docs\n # of non-builtin should be fine, though\n def newFunc(*args, **kwargs):\n return inFunc(*args, **kwargs)\n\n # 2. Modify the function descriptors - ie, __doc__, __name__, etc\n if customFunc:\n # copy over the exisitng docs\n if not newFunc.__doc__:\n newFunc.__doc__ = inFunc.__doc__\n elif inFunc.__doc__:\n newFunc.__doc__ = inFunc.__doc__\n _addCmdDocs(newFunc, funcName)\n\n if rename:\n newFunc.__name__ = rename\n else:\n newFunc.__name__ = funcName\n\n return newFunc", "metadata": "root.functionFactory", "header": "['module', '___EOS___']", "index": 812 }, { "content": " def getGetterInfo(self):\n try:\n inverse, isgetter = self.methodInfo['inverse']\n if isgetter:\n if hasattr( getattr(api, self.apiClassName), inverse ):\n return ApiArgUtil( self.apiClassName, inverse, self.methodIndex )\n except:\n pass", "metadata": "root.ApiArgUtil.getGetterInfo", "header": "['class', 'ApiArgUtil', '(', 'object', ')', ':', '___EOS___']", "index": 1430 }, { "content": " def _createNode( self ):\n \"\"\"\n Create the undo node.\n\n Any type of node will do. I've chosen a 'facade' node since it\n doesn't have too much overhead and won't get deleted if the user\n optimizes the scene.\n\n Note that we don't want to use Maya commands here because they\n would pollute Maya's undo queue, so we use API calls instead.\n \"\"\"\n\n ns = api.MNamespace.currentNamespace()\n api.MNamespace.setCurrentNamespace(':')\n self.flushUndo()\n\n dgmod = api.MDGModifier()\n self.undoNode = dgmod.createNode('facade')\n dgmod.renameNode(self.undoNode, self.node_name)\n dgmod.doIt()\n\n api.MNamespace.setCurrentNamespace(ns)\n\n # Add an attribute to keep a count of the commands in the stack.\n attrFn = api.MFnNumericAttribute()\n self.cmdCountAttr = attrFn.create( 'cmdCount', 'cc',\n api.MFnNumericData.kInt\n )\n\n nodeFn = api.MFnDependencyNode(self.undoNode)\n self.node_name = nodeFn.name()\n nodeFn.addAttribute(self.cmdCountAttr)\n\n nodeFn.setDoNotWrite(True)\n nodeFn.setLocked(True)\n\n try:\n api.MMessage.removeCallback( self.cbid )\n if hasattr(self.cbid, 'disown'):\n self.cbid.disown()\n except:\n pass\n self.cbid = api.MNodeMessage.addAttributeChangedCallback( self.undoNode, self._attrChanged )", "metadata": "root.ApiUndo._createNode", "header": "['class', 'ApiUndo', ':', '___EOS___']", "index": 1827 }, { "content": " def append(self, cmdObj ):\n\n self.cb_enabled = False\n\n# if not cmds.objExists( self.node_name ):\n# self._createNode()\n\n # Increment the undo node's command count. We want this to go into\n # Maya's undo queue because changes to this attr will trigger our own\n # undo/redo code.\n try:\n count = cmds.getAttr(self.node_name + '.cmdCount')\n except:\n self._createNode()\n count = cmds.getAttr(self.node_name + '.cmdCount')\n\n cmds.setAttr(self.node_name + '.cmdCount', count + 1)\n\n # Append the command to the end of the undo queue.\n self.undo_queue.append(cmdObj)\n\n # Clear the redo queue.\n self.redo_queue = []\n\n # Re-enable the callback.\n self.cb_enabled = True", "metadata": "root.ApiUndo.append", "header": "['class', 'ApiUndo', ':', '___EOS___']", "index": 1872 } ]

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[ { "content": "def build_target(target, front_dirs=[],refine_target=[]):\n for item in front_dirs:\n refine_target.append(target+ \"/\"+ item)", "metadata": "root.build_target", "header": "['module', '___EOS___']", "index": 140 } ]

[ { "span": "refine_target.", "start_line": 142, "start_column": 24, "end_line": 142, "end_column": 37 } ]

[ { "span": "refine_target=", "start_line": 140, "start_column": 39, "end_line": 140, "end_column": 52 } ]

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[ { "content": "from pybrain.structure.modules.biasunit import BiasUnit\nfrom pybrain.structure.modules.gate import GateLayer, DoubleGateLayer, MultiplicationLayer, SwitchLayer\nfrom pybrain.structure.modules.gaussianlayer import GaussianLayer\nfrom pybrain.structure.modules.linearlayer import LinearLayer\nfrom pybrain.structure.modules.lstm import LSTMLayer\nfrom pybrain.structure.modules.mdlstm import MDLSTMLayer\nfrom pybrain.structure.modules.mdrnnlayer import MdrnnLayer\nfrom pybrain.structure.modules.sigmoidlayer import SigmoidLayer\nfrom pybrain.structure.modules.softmax import SoftmaxLayer, PartialSoftmaxLayer\nfrom pybrain.structure.modules.statedependentlayer import StateDependentLayer\nfrom pybrain.structure.modules.tanhlayer import TanhLayer\nfrom pybrain.structure.modules.kohonen import KohonenMap\nfrom pybrain.structure.modules.table import Table\nfrom pybrain.structure.modules.module import Module\nfrom pybrain.structure.modules.relulayer import ReluLayer\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 } ]

[ { "span": "from pybrain.structure.modules.biasunit import BiasUnit", "start_line": 0, "start_column": 0, "end_line": 0, "end_column": 55 }, { "span": "from pybrain.structure.modules.gate import GateLayer, DoubleGateLayer, MultiplicationLayer, SwitchLayer", "start_line": 1, "start_column": 0, "end_line": 1, "end_column": 103 }, { "span": "from pybrain.structure.modules.gaussianlayer import GaussianLayer", "start_line": 2, "start_column": 0, "end_line": 2, "end_column": 65 }, { "span": "from pybrain.structure.modules.linearlayer import LinearLayer", "start_line": 3, "start_column": 0, "end_line": 3, "end_column": 61 }, { "span": "from pybrain.structure.modules.lstm import LSTMLayer", "start_line": 4, "start_column": 0, "end_line": 4, "end_column": 52 }, { "span": "from pybrain.structure.modules.mdlstm import MDLSTMLayer", "start_line": 5, "start_column": 0, "end_line": 5, "end_column": 56 }, { "span": "from pybrain.structure.modules.mdrnnlayer import MdrnnLayer", "start_line": 6, "start_column": 0, "end_line": 6, "end_column": 59 }, { "span": "from pybrain.structure.modules.sigmoidlayer import SigmoidLayer", "start_line": 7, "start_column": 0, "end_line": 7, "end_column": 63 }, { "span": "from pybrain.structure.modules.softmax import SoftmaxLayer, PartialSoftmaxLayer", "start_line": 8, "start_column": 0, "end_line": 8, "end_column": 79 }, { "span": "from pybrain.structure.modules.statedependentlayer import StateDependentLayer", "start_line": 9, "start_column": 0, "end_line": 9, "end_column": 77 }, { "span": "from pybrain.structure.modules.tanhlayer import TanhLayer", "start_line": 10, "start_column": 0, "end_line": 10, "end_column": 57 }, { "span": "from pybrain.structure.modules.kohonen import KohonenMap", "start_line": 11, "start_column": 0, "end_line": 11, "end_column": 56 }, { "span": "from pybrain.structure.modules.table import Table", "start_line": 12, "start_column": 0, "end_line": 12, "end_column": 49 }, { "span": "from pybrain.structure.modules.module import Module", "start_line": 13, "start_column": 0, "end_line": 13, "end_column": 51 }, { "span": "from pybrain.structure.modules.relulayer import ReluLayer", "start_line": 14, "start_column": 0, "end_line": 14, "end_column": 57 } ]

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[ { "content": "import click\nfrom click.testing import CliRunner\nfrom textkit.filter.filter_punc import filterpunc\nfrom textkit.filter.filter_words import filterwords\nfrom textkit.filter.filter_lengths import filterlengths\nfrom tests.utils import create_single_output, create_multifile_output, compare_results\n\n\n\n\n\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def test_filterlengths():\n runner = CliRunner()\n with runner.isolated_filesystem():\n filename = 'in.txt'\n sentence = 'Hello\\nWorld\\n!\\nI\\n.\\nnot\\nwin\\n'\n \n create_single_output(filename, sentence)\n \n # default length 3\n result = runner.invoke(filterlengths, [filename])\n tokens = result.output.split('\\n')\n expected_tokens = ['Hello', 'World', 'not', 'win'] \n assert result.exit_code == 0\n compare_results(tokens, expected_tokens)\n\n # minumum length 4\n result = runner.invoke(filterlengths, ['-m', '4', filename])\n tokens = result.output.split('\\n')\n expected_tokens = ['Hello', 'World']\n assert result.exit_code == 0\n compare_results(tokens, expected_tokens)", "metadata": "root.test_filterlengths", "header": "['module', '___EOS___']", "index": 7 }, { "content": "def test_filterpunc():\n runner = CliRunner()\n with runner.isolated_filesystem():\n filename = 'in.txt'\n sentence = 'Hello\\nWorld\\n!\\nI\\n.\\nnot'\n expected_tokens = ['Hello', 'World', 'I', 'not']\n create_single_output(filename, sentence)\n result = runner.invoke(filterpunc, [filename])\n tokens = result.output.split('\\n')\n assert result.exit_code == 0\n compare_results(tokens, expected_tokens)", "metadata": "root.test_filterpunc", "header": "['module', '___EOS___']", "index": 30 }, { "content": "def test_filterwords():\n runner = CliRunner()\n with runner.isolated_filesystem():\n\n filename = 'in.txt'\n sentence = 'Hello\\nWorld\\n!\\nI\\nam\\nnot\\na\\ncrook\\n.'\n expected_tokens = ['Hello','World','!', 'crook','.']\n create_single_output(filename, sentence)\n result = runner.invoke(filterwords, ['--language', 'english', filename])\n tokens = result.output.split('\\n')\n assert result.exit_code == 0\n compare_results(tokens, expected_tokens)", "metadata": "root.test_filterwords", "header": "['module', '___EOS___']", "index": 43 }, { "content": "def test_filterwords_custom():\n runner = CliRunner()\n with runner.isolated_filesystem():\n\n filename = 'in.txt'\n sentence = 'Hello\\nWorld\\n!\\nI\\nam\\nnot\\na\\ncrook\\n.'\n expected_tokens = ['World','!','crook','.']\n custom_stopword_filename = 'custom.txt'\n custom_stopwords = 'hello\\n'\n\n create_single_output(filename, sentence)\n create_single_output(custom_stopword_filename, custom_stopwords)\n\n result = runner.invoke(filterwords, ['--custom', 'custom.txt', filename])\n tokens = result.output.split('\\n')\n assert result.exit_code == 0\n compare_results(tokens, expected_tokens)", "metadata": "root.test_filterwords_custom", "header": "['module', '___EOS___']", "index": 57 } ]

[ { "span": "import click", "start_line": 0, "start_column": 0, "end_line": 0, "end_column": 12 }, { "span": "from tests.utils import create_single_output, create_multifile_output, compare_results", "start_line": 5, "start_column": 0, "end_line": 5, "end_column": 86 } ]

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[ { "content": "#\n# Depends\n# Copyright (C) 2014 by Andrew Gardner & Jonas Unger. All rights reserved.\n# BSD license (LICENSE.txt for details).\n#\n\nimport os\nimport re\nimport uuid\n\nimport depends_node\nimport depends_util\n\n\n\"\"\"\nA data packet is the absolute minimum amount of information needed to represent\na knowable-thing on disk. Each datapacket can represent a single item or a\nsequence of items.\n\nOnly file information is transferred in a DataPacket, and only file information\nshould ever be transferred. Other values that should be shared between nodes\nshould happen through the variable substitution mechanisms.\n\"\"\"\n\n\n###############################################################################\n## Utility\n###############################################################################\n\n\n\n\n\n\n\n\n \n\n# TODO: A function to get the type name without needing to create the class?\n\n\n###############################################################################\n## DataPacket base class\n###############################################################################\n\n\n######## FUNCTION TO IMPORT PLUGIN DATA PACKETS INTO THIS NAMESPACE ##########\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def filenameDictForDataPacketType(dataPacketType):\n \"\"\"\n Return a dict of fileDescriptors for a given DataPacket type.\n \"\"\"\n foo = dataPacketType(None, None)\n return foo.filenames", "metadata": "root.filenameDictForDataPacketType", "header": "['module', '___EOS___']", "index": 28 }, { "content": "def scenegraphLocationString(dataPacket):\n \"\"\"\n Given a datapacket, return a string representing its location in the \n scenegraph. (::UUID:OUTPUT)\n \"\"\"\n return \"::\"+str(dataPacket.sourceNode.uuid)+\":\"+dataPacket.sourceOutputName", "metadata": "root.scenegraphLocationString", "header": "['module', '___EOS___']", "index": 36 }, { "content": "def shorthandScenegraphLocationString(dataPacket):\n \"\"\"\n Given a datapacket, return a \"human-readable\" string representing its name\n in the scenegraph. (::NAME:OUTPUT)\n \"\"\"\n return \"::\"+dataPacket.sourceNode.name+\":\"+dataPacket.sourceOutputName", "metadata": "root.shorthandScenegraphLocationString", "header": "['module', '___EOS___']", "index": 44 }, { "content": "def uuidFromScenegraphLocationString(string):\n \"\"\"\n Returns a UUID object for a given scenegraph location string.\n \"\"\"\n if string == \"\":\n return None\n if not string.startswith(\"::\"):\n return None\n uuidString = string.split(\":\")[2]\n return uuid.UUID(uuidString)", "metadata": "root.uuidFromScenegraphLocationString", "header": "['module', '___EOS___']", "index": 52 }, { "content": "def nodeAndOutputFromScenegraphLocationString(string, dag):\n \"\"\"\n Returns a tuple containing the node defined in a location string and its \n corresponding Output.\n \"\"\"\n try:\n outputNodeUUID = uuidFromScenegraphLocationString(string)\n outputNode = dag.node(nUUID=outputNodeUUID)\n outputNodeOutputName = string.split(\":\")[3]\n return (outputNode, outputNode.outputNamed(outputNodeOutputName))\n except:\n return(None, None)", "metadata": "root.nodeAndOutputFromScenegraphLocationString", "header": "['module', '___EOS___']", "index": 64 }, { "content": "class DataPacket(object):\n \"\"\"\n The minimal amount of data needed to convey an object.\n The user may inherit from this class to define her own formats of data to\n pass around the DAG. Adding members to the filenames dictionary is all\n that is needed to make effective new DataPackets.\n \"\"\"\n\n \n # TODO: Be more explicit in this function name\n\n\n\n\n\n\n \n\n\n ", "metadata": "root.DataPacket", "header": "['module', '___EOS___']", "index": 84 }, { "content": " def __init__(self, sourceNode, sourceOutputName):\n self.filenames = dict()\n self.sourceNode = sourceNode\n self.sourceOutputName = sourceOutputName\n self.sequenceRange = None", "metadata": "root.DataPacket.__init__", "header": "['class', 'DataPacket', '(', 'object', ')', ':', '___EOS___']", "index": 91 }, { "content": " def typeStr(self):\n \"\"\"\n Returns a human-readable type string with CamelCaps->spaces.\n \"\"\"\n # TODO: MAKE EXPLICIT!\n return re.sub(r'(?!^)([A-Z]+)', r' \\1', type(self).__name__[len('DataPacket'):])", "metadata": "root.DataPacket.typeStr", "header": "['class', 'DataPacket', '(', 'object', ')', ':', '___EOS___']", "index": 99 }, { "content": " def setFilename(self, descriptorName, filename):\n \"\"\"\n Set the value of one of the files|sequences in this datapacket.\n \"\"\"\n if descriptorName not in self.filenames:\n raise RuntimeError(\"DataPacket %s does not contain a file descriptor named %s.\" % (shorthandScenegraphLocationString(self), descriptorName))\n self.filenames[descriptorName] = filename", "metadata": "root.DataPacket.setFilename", "header": "['class', 'DataPacket', '(', 'object', ')', ':', '___EOS___']", "index": 107 }, { "content": " def setSequenceRange(self, rangeTuple):\n \"\"\"\n Set the range for this datapacket. Takes a tuple containing start\n and end strings or ints. All ranges are stored internally as ints.\n \"\"\"\n # All sequence ranges are converted to integers here\n self.sequenceRange = None\n if rangeTuple:\n lowValue = int(rangeTuple[0]) if rangeTuple[0] else None\n highValue = int(rangeTuple[1]) if rangeTuple[1] else None\n self.sequenceRange = (lowValue, highValue)", "metadata": "root.DataPacket.setSequenceRange", "header": "['class', 'DataPacket', '(', 'object', ')', ':', '___EOS___']", "index": 116 }, { "content": " def fileDescriptorNamed(self, descriptorName):\n \"\"\"\n Return a framespec object derived from the information in the given\n descriptor.\n \"\"\"\n if descriptorName not in self.filenames:\n raise RuntimeError(\"DataPacket %s does not contain a file descriptor named %s.\" % (shorthandScenegraphLocationString(self), descriptorName))\n return depends_util.framespec(self.filenames[descriptorName], self.sequenceRange)", "metadata": "root.DataPacket.fileDescriptorNamed", "header": "['class', 'DataPacket', '(', 'object', ')', ':', '___EOS___']", "index": 129 }, { "content": " def dataPresent(self, specificFileDescriptorName=None):\n \"\"\"\n Returns if all data is present for the current DataPacket. Individual\n file descriptors in the data packet can be specified to retrieve more \n detailed information.\n \"\"\"\n fdNameList = list()\n if specificFileDescriptorName:\n fdNameList.append(specificFileDescriptorName)\n else:\n fdNameList = self.filenames.keys()\n for fileDescriptor in fdNameList:\n if not self._filesExist(depends_util.framespec(self.filenames[fileDescriptor], self.sequenceRange)):\n return False\n return True", "metadata": "root.DataPacket.dataPresent", "header": "['class', 'DataPacket', '(', 'object', ')', ':', '___EOS___']", "index": 139 }, { "content": " def _filesExist(self, framespecObject):\n \"\"\"\n Check if all files exist in a given framespec object.\n \"\"\"\n numFilesInList = len(framespecObject.frames())\n if numFilesInList == 0:\n return False\n for file in framespecObject.frames():\n if not os.path.exists(file):\n return False\n return True", "metadata": "root.DataPacket._filesExist", "header": "['class', 'DataPacket', '(', 'object', ')', ':', '___EOS___']", "index": 156 }, { "content": "def loadChildDataPacketsFromPaths(pathList):\n \"\"\"\n Given a list of directories, import all classes that inherit from DataPacket\n in those directories into the data_packet namespace.\n \"\"\"\n for path in pathList:\n dpClassDict = depends_util.allClassesOfInheritedTypeFromDir(path, DataPacket)\n for dpc in dpClassDict:\n globals()[dpc] = dpClassDict[dpc]", "metadata": "root.loadChildDataPacketsFromPaths", "header": "['module', '___EOS___']", "index": 170 } ]

[ { "span": "import depends_node", "start_line": 10, "start_column": 0, "end_line": 10, "end_column": 19 } ]

[]

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[ { "content": " def dev_run(self, port=8000):\n from wsgiref.simple_server import make_server\n server = make_server('', port, self)\n print 'MNML now running on http://127.0.0.1:%s\\n' % port\n try:\n server.serve_forever()\n except:\n print 'MNML stopping...'\n server.socket.close()", "metadata": "root.WebApplication.dev_run", "header": "['class', 'WebApplication', '(', 'object', ')', ':', '___EOS___']", "index": 213 } ]

[ { "span": "except:", "start_line": 219, "start_column": 8, "end_line": 219, "end_column": 15 } ]

[]

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[ { "content": "################################################################################\n#\n# MRC FGU Computational Genomics Group\n#\n# $Id$\n#\n# Copyright (C) 2009 Andreas Heger\n#\n# This program is free software; you can redistribute it and/or\n# modify it under the terms of the GNU General Public License\n# as published by the Free Software Foundation; either version 2\n# of the License, or (at your option) any later version.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License\n# along with this program; if not, write to the Free Software\n# Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.\n#################################################################################\n'''\ngff2wiggle_stats.py - compute coverage of intervals\n===================================================\n\n:Author: Andreas Heger\n:Release: $Id$\n:Date: |today|\n:Tags: Python\n\nPurpose\n-------\n\nThis script builds a :term:`wiggle` file from a :term:`gff` formatted\nfile by stacking the intervals in the :term:`gff` formatted file on\ntop of each other. The value in the :term:`wiggle` file is the height\nof the stack.\n\nUsage\n-----\n\nExample::\n\n python gff2wiggle_stats.py --help\n\nType::\n\n python gff2wiggle_stats.py --help\n\nfor command line help.\n\nDocumentation\n-------------\n\nCode\n----\n\n'''\n\nimport sys\nimport re\nimport string\nimport optparse\nimport time\nimport os\nimport glob\n\nimport CGAT.Experiment as E\nimport CGAT.Stats as Stats\nimport CGAT.GTF as GTF\n\nimport CGAT.Wiggle as Wiggle\nimport alignlib\n\nif __name__ == '__main__':\n\n parser = E.OptionParser( version = \"%prog version: $Id: gff2wiggle_stats.py 2781 2009-09-10 11:33:14Z andreas $\", usage = globals()[\"__doc__\"] )\n\n parser.add_option(\"-g\", \"--genome-file\", dest=\"genome_file\", type=\"string\",\n help=\"filename with genome.\" )\n\n parser.add_option(\"--wiggle-files\", dest=\"wiggle_files\", type=\"string\",\n help=\"glob expression for wiggle files [%default].\" )\n\n parser.add_option(\"--prefix\", dest=\"prefix\", type=\"string\",\n help=\"prefix to add to contig names before lookup [%default].\" )\n\n parser.add_option( \"-a\", \"--as-gtf\", dest=\"as_gtf\", action=\"store_true\",\n help=\"input is in gtf format.\")\n\n parser.add_option( \"--test\", dest=\"test\", type=\"int\",\n help=\"test - stop after # rows of parsing [%default].\" )\n\n parser.add_option( \"--with-values\", dest=\"with_values\", action=\"store_true\",\n help=\"output values in last column [%default].\" )\n\n parser.set_defaults( wiggle_files = \"*.data.bz2\",\n prefix = \"\",\n with_values = False,\n test = None )\n\n (options, args) = E.Start( parser, add_pipe_options = True )\n\n # open indexed access to wiggles\n wiggle_files = glob.glob( options.wiggle_files )\n if not wiggle_files:\n raise IOError( \"could not find wiggle files with '%s'\" % options.wiggle_files )\n\n index = Wiggle.WiggleMultiIndexedAccess( wiggle_files,\n keep_open = True,\n use_cache = False )\n\n if options.as_gtf:\n iterator = GTF.flat_gene_iterator( GTF.iterator( sys.stdin) )\n id = \"gene_id\"\n else:\n iterator = GTF.chunk_iterator( GTF.iterator( sys.stdin ) )\n id = \"query\"\n\n ninput, noutput, nskipped = 0, 0, 0\n\n options.stdout.write( \"%s\\tnali\\t%s\" % (id, \"\\t\".join( Stats.DistributionalParameters().getHeaders() )))\n if options.with_values:\n options.stdout.write( \"\\tvalues\" )\n options.stdout.write(\"\\n\" )\n\n for gffs in iterator:\n\n if options.test and ninput >= options.test:\n break\n\n ninput += 1\n \n if options.loglevel >= 2:\n for gff in gffs:\n options.stdlog.write( str(gff) + \"\\n\" )\n\n map_genome2query = alignlib.makeAlignmentBlocks()\n for gff in gffs:\n map_genome2query.addDiagonal( gff.start, gff.end, 0 )\n\n data = index.get( options.prefix + gff.contig,\n map_genome2query.getRowFrom(),\n map_genome2query.getRowTo() )\n\n values = []\n for x, vv in data:\n for v in vv:\n if map_genome2query.mapRowToCol( x ) >= 0:\n values.append( v )\n x += 1\n if len(values) == 0:\n nskipped += 1\n continue\n \n noutput += 1\n\n if options.loglevel >= 2:\n options.stdlog.write( \"# %s\\n\" % \",\".join( [ \"%5.3f\" % v for v in values] ))\n\n s = Stats.DistributionalParameters( values )\n if options.as_gtf:\n id = gff.gene_id\n else:\n id = gff.mAttributes\n options.stdout.write( \"%s\\t%i\\t%s\" % ( id,\n map_genome2query.getNumAligned(),\n str( s ) ) )\n \n if options.with_values:\n options.stdout.write( \"\\t%s\" % \",\".join( [ \"%5.3f\" % v for v in values] ))\n \n options.stdout.write(\"\\n\" ) \n\n if options.loglevel >= 1:\n options.stdlog.write( \"# ninput=%i, noutput=%i, nskipped=%i\\n\" % (ninput, noutput, nskipped) )\n\n E.Stop()\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 } ]

[ { "span": "import re", "start_line": 61, "start_column": 0, "end_line": 61, "end_column": 9 }, { "span": "import string", "start_line": 62, "start_column": 0, "end_line": 62, "end_column": 13 }, { "span": "import optparse", "start_line": 63, "start_column": 0, "end_line": 63, "end_column": 15 }, { "span": "import time", "start_line": 64, "start_column": 0, "end_line": 64, "end_column": 11 }, { "span": "import os", "start_line": 65, "start_column": 0, "end_line": 65, "end_column": 9 } ]

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[ { "content": "###\n# Copyright (c) 2002-2005, Jeremiah Fincher\n# Copyright (c) 2009,2011,2015 James McCoy\n# All rights reserved.\n#\n# Redistribution and use in source and binary forms, with or without\n# modification, are permitted provided that the following conditions are met:\n#\n# * Redistributions of source code must retain the above copyright notice,\n# this list of conditions, and the following disclaimer.\n# * Redistributions in binary form must reproduce the above copyright notice,\n# this list of conditions, and the following disclaimer in the\n# documentation and/or other materials provided with the distribution.\n# * Neither the name of the author of this software nor the name of\n# contributors to this software may be used to endorse or promote products\n# derived from this software without specific prior written consent.\n#\n# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n# ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n# LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n# CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n# SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n# INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n# CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n# ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE\n# POSSIBILITY OF SUCH DAMAGE.\n###\n\n\"\"\"\nProvides a great number of useful utility functions for IRC. Things to muck\naround with hostmasks, set bold or color on strings, IRC-case-insensitive\ndicts, a nick class to handle nicks (so comparisons and hashing and whatnot\nwork in an IRC-case-insensitive fashion), and numerous other things.\n\"\"\"\n\nfrom __future__ import division\nfrom __future__ import print_function\n\nimport re\nimport sys\nimport time\nimport base64\nimport random\nimport string\nimport textwrap\nimport functools\n\nfrom . import utils\nfrom .utils import minisix\nfrom .version import version\n\nfrom .i18n import PluginInternationalization\n_ = PluginInternationalization()\n\n\nuserHostmaskRe = re.compile(r'^\\S+!\\S+@\\S+$')\n\n\n\n\n\n\n\n_rfc1459trans = utils.str.MultipleReplacer(dict(list(zip(\n string.ascii_uppercase + r'\\[]~',\n string.ascii_lowercase + r'|{}^'))))\n\n\nnickEqual = strEqual\n\n_nickchars = r'[]\\`_^{|}'\nnickRe = re.compile(r'^[A-Za-z%s][-0-9A-Za-z%s]*$'\n % (re.escape(_nickchars), re.escape(_nickchars)))\n\n\n\n\n\n_patternCache = utils.structures.CacheDict(1000)\n\n_hostmaskPatternEqualCache = utils.structures.CacheDict(1000)\n\n\n_plusRequireArguments = 'ovhblkqeI'\n_minusRequireArguments = 'ovhbkqeI'\n\n\n\n\n\n\n# Definition of mircColors dictionary moved below because it became an IrcDict.\n\n\n\n\n_stripColorRe = re.compile(r'\\x03(?:\\d{1,2},\\d{1,2}|\\d{1,2}|,\\d{1,2}|)')\n\n\n\n\n_containsFormattingRe = re.compile(r'[\\x02\\x03\\x16\\x1f]')\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nmircColors = IrcDict({\n 'white': '0',\n 'black': '1',\n 'blue': '2',\n 'green': '3',\n 'red': '4',\n 'brown': '5',\n 'purple': '6',\n 'orange': '7',\n 'yellow': '8',\n 'light green': '9',\n 'teal': '10',\n 'light blue': '11',\n 'dark blue': '12',\n 'pink': '13',\n 'dark grey': '14',\n 'light grey': '15',\n 'dark gray': '14',\n 'light gray': '15',\n})\n\n# We'll map integers to their string form so mircColor is simpler.\nfor (k, v) in list(mircColors.items()):\n if k is not None: # Ignore empty string for None.\n sv = str(v)\n mircColors[sv] = sv\n mircColors[sv.zfill(2)] = sv\n\n\n\n\nAUTHENTICATE_CHUNK_SIZE = 400\n\n\n\nnumerics = {\n # <= 2.10\n # Reply\n '001': 'RPL_WELCOME',\n '002': 'RPL_YOURHOST',\n '003': 'RPL_CREATED',\n '004': 'RPL_MYINFO',\n '005': 'RPL_BOUNCE',\n '302': 'RPL_USERHOST',\n '303': 'RPL_ISON',\n '301': 'RPL_AWAY',\n '305': 'RPL_UNAWAY',\n '306': 'RPL_NOWAWAY',\n '311': 'RPL_WHOISUSER',\n '312': 'RPL_WHOISSERVER',\n '313': 'RPL_WHOISOPERATOR',\n '317': 'RPL_WHOISIDLE',\n '318': 'RPL_ENDOFWHOIS',\n '319': 'RPL_WHOISCHANNELS',\n '314': 'RPL_WHOWASUSER',\n '369': 'RPL_ENDOFWHOWAS',\n '321': 'RPL_LISTSTART',\n '322': 'RPL_LIST',\n '323': 'RPL_LISTEND',\n '325': 'RPL_UNIQOPIS',\n '324': 'RPL_CHANNELMODEIS',\n '331': 'RPL_NOTOPIC',\n '332': 'RPL_TOPIC',\n '341': 'RPL_INVITING',\n '342': 'RPL_SUMMONING',\n '346': 'RPL_INVITELIST',\n '347': 'RPL_ENDOFINVITELIST',\n '348': 'RPL_EXCEPTLIST',\n '349': 'RPL_ENDOFEXCEPTLIST',\n '351': 'RPL_VERSION',\n '352': 'RPL_WHOREPLY',\n '352': 'RPL_WHOREPLY',\n '353': 'RPL_NAMREPLY',\n '366': 'RPL_ENDOFNAMES',\n '364': 'RPL_LINKS',\n '365': 'RPL_ENDOFLINKS',\n '367': 'RPL_BANLIST',\n '368': 'RPL_ENDOFBANLIST',\n '371': 'RPL_INFO',\n '374': 'RPL_ENDOFINFO',\n '372': 'RPL_MOTD',\n '376': 'RPL_ENDOFMOTD',\n '381': 'RPL_YOUREOPER',\n '382': 'RPL_REHASHING',\n '383': 'RPL_YOURESERVICE',\n '391': 'RPL_TIME',\n '392': 'RPL_USERSSTART',\n '393': 'RPL_USERS',\n '394': 'RPL_ENDOFUSERS',\n '395': 'RPL_NOUSERS',\n '200': 'RPL_TRACELINK',\n '201': 'RPL_TRACECONNECTING',\n '202': 'RPL_TRACEHANDSHAKE',\n '203': 'RPL_TRACEUNKNOWN',\n '204': 'RPL_TRACEOPERATOR',\n '205': 'RPL_TRACEUSER',\n '206': 'RPL_TRACESERVER',\n '207': 'RPL_TRACESERVICE',\n '208': 'RPL_TRACENEWTYPE',\n '209': 'RPL_TRACECLASS',\n '210': 'RPL_TRACERECONNECT',\n '261': 'RPL_TRACELOG',\n '262': 'RPL_TRACEEND',\n '211': 'RPL_STATSLINKINFO',\n '212': 'RPL_STATSCOMMANDS',\n '219': 'RPL_ENDOFSTATS',\n '242': 'RPL_STATSUPTIME',\n '243': 'RPL_STATSOLINE',\n '221': 'RPL_UMODEIS',\n '234': 'RPL_SERVLIST',\n '235': 'RPL_SERVLISTEND',\n '251': 'RPL_LUSERCLIENT',\n '252': 'RPL_LUSEROP',\n '253': 'RPL_LUSERUNKNOWN',\n '254': 'RPL_LUSERCHANNELS',\n '255': 'RPL_LUSERME',\n '256': 'RPL_ADMINME',\n '257': 'RPL_ADMINLOC1',\n '258': 'RPL_ADMINLOC2',\n '259': 'RPL_ADMINEMAIL',\n '263': 'RPL_TRYAGAIN',\n\n # Error\n '401': 'ERR_NOSUCHNICK',\n '402': 'ERR_NOSUCHSERVER',\n '403': 'ERR_NOSUCHCHANNEL',\n '404': 'ERR_CANNOTSENDTOCHAN',\n '405': 'ERR_TOOMANYCHANNELS',\n '406': 'ERR_WASNOSUCHNICK',\n '407': 'ERR_TOOMANYTARGETS',\n '408': 'ERR_NOSUCHSERVICE',\n '409': 'ERR_NOORIGIN',\n '411': 'ERR_NORECIPIENT',\n '412': 'ERR_NOTEXTTOSEND',\n '413': 'ERR_NOTOPLEVEL',\n '414': 'ERR_WILDTOPLEVEL',\n '415': 'ERR_BADMASK',\n '421': 'ERR_UNKNOWNCOMMAND',\n '422': 'ERR_NOMOTD',\n '423': 'ERR_NOADMININFO',\n '424': 'ERR_FILEERROR',\n '431': 'ERR_NONICKNAMEGIVEN',\n '432': 'ERR_ERRONEUSNICKNAME',\n '433': 'ERR_NICKNAMEINUSE',\n '436': 'ERR_NICKCOLLISION',\n '437': 'ERR_UNAVAILRESOURCE',\n '441': 'ERR_USERNOTINCHANNEL',\n '442': 'ERR_NOTONCHANNEL',\n '443': 'ERR_USERONCHANNEL',\n '444': 'ERR_NOLOGIN',\n '445': 'ERR_SUMMONDISABLED',\n '446': 'ERR_USERSDISABLED',\n '451': 'ERR_NOTREGISTERED',\n '461': 'ERR_NEEDMOREPARAMS',\n '462': 'ERR_ALREADYREGISTRED',\n '463': 'ERR_NOPERMFORHOST',\n '464': 'ERR_PASSWDMISMATCH',\n '465': 'ERR_YOUREBANNEDCREEP',\n '466': 'ERR_YOUWILLBEBANNED',\n '467': 'ERR_KEYSET',\n '471': 'ERR_CHANNELISFULL',\n '472': 'ERR_UNKNOWNMODE',\n '473': 'ERR_INVITEONLYCHAN',\n '474': 'ERR_BANNEDFROMCHAN',\n '475': 'ERR_BADCHANNELKEY',\n '476': 'ERR_BADCHANMASK',\n '477': 'ERR_NOCHANMODES',\n '478': 'ERR_BANLISTFULL',\n '481': 'ERR_NOPRIVILEGES',\n '482': 'ERR_CHANOPRIVSNEEDED',\n '483': 'ERR_CANTKILLSERVER',\n '484': 'ERR_RESTRICTED',\n '485': 'ERR_UNIQOPPRIVSNEEDED',\n '491': 'ERR_NOOPERHOST',\n '501': 'ERR_UMODEUNKNOWNFLAG',\n '502': 'ERR_USERSDONTMATCH',\n\n # Reserved\n '231': 'RPL_SERVICEINFO',\n '232': 'RPL_ENDOFSERVICES',\n '233': 'RPL_SERVICE',\n '300': 'RPL_NONE',\n '316': 'RPL_WHOISCHANOP',\n '361': 'RPL_KILLDONE',\n '362': 'RPL_CLOSING',\n '363': 'RPL_CLOSEEND',\n '373': 'RPL_INFOSTART',\n '384': 'RPL_MYPORTIS',\n '213': 'RPL_STATSCLINE',\n '214': 'RPL_STATSNLINE',\n '215': 'RPL_STATSILINE',\n '216': 'RPL_STATSKLINE',\n '217': 'RPL_STATSQLINE',\n '218': 'RPL_STATSYLINE',\n '240': 'RPL_STATSVLINE',\n '241': 'RPL_STATSLLINE',\n '244': 'RPL_STATSHLINE',\n '244': 'RPL_STATSSLINE',\n '246': 'RPL_STATSPING',\n '247': 'RPL_STATSBLINE',\n '250': 'RPL_STATSDLINE',\n '492': 'ERR_NOSERVICEHOST',\n\n # IRC v3.1\n # SASL\n '900': 'RPL_LOGGEDIN',\n '901': 'RPL_LOGGEDOUT',\n '902': 'ERR_NICKLOCKED',\n '903': 'RPL_SASLSUCCESS',\n '904': 'ERR_SASLFAIL',\n '905': 'ERR_SASLTOOLONG',\n '906': 'ERR_SASLABORTED',\n '907': 'ERR_SASLALREADY',\n '908': 'RPL_SASLMECHS',\n\n # IRC v3.2\n # Metadata\n '760': 'RPL_WHOISKEYVALUE',\n '761': 'RPL_KEYVALUE',\n '762': 'RPL_METADATAEND',\n '764': 'ERR_METADATALIMIT',\n '765': 'ERR_TARGETINVALID',\n '766': 'ERR_NOMATCHINGKEY',\n '767': 'ERR_KEYINVALID',\n '768': 'ERR_KEYNOTSET',\n '769': 'ERR_KEYNOPERMISSION',\n\n # Monitor\n '730': 'RPL_MONONLINE',\n '731': 'RPL_MONOFFLINE',\n '732': 'RPL_MONLIST',\n '733': 'RPL_ENDOFMONLIST',\n '734': 'ERR_MONLISTFULL',\n}\n\nif __name__ == '__main__':\n import doctest\n doctest.testmod(sys.modules['__main__'])\n# vim:set shiftwidth=4 softtabstop=4 expandtab textwidth=79:\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 } ]

[ { "span": "'352':", "start_line": 939, "start_column": 8, "end_line": 939, "end_column": 13 }, { "span": "'244':", "start_line": 1065, "start_column": 8, "end_line": 1065, "end_column": 13 } ]

[ { "span": "'352':", "start_line": 940, "start_column": 8, "end_line": 940, "end_column": 13 }, { "span": "'244':", "start_line": 1066, "start_column": 8, "end_line": 1066, "end_column": 13 } ]

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[ { "content": "\"\"\" (disabled by default) support for testing pytest and pytest plugins. \"\"\"\nimport codecs\nimport gc\nimport os\nimport platform\nimport re\nimport subprocess\nimport sys\nimport time\nimport traceback\nfrom fnmatch import fnmatch\n\nfrom py.builtin import print_\n\nfrom _pytest._code import Source\nimport py\nimport pytest\nfrom _pytest.main import Session, EXIT_OK\n\n\n\n\n\n\n\n\n# XXX copied from execnet's conftest.py - needs to be merged\nwinpymap = {\n 'python2.7': r'C:\\Python27\\python.exe',\n 'python2.6': r'C:\\Python26\\python.exe',\n 'python3.1': r'C:\\Python31\\python.exe',\n 'python3.2': r'C:\\Python32\\python.exe',\n 'python3.3': r'C:\\Python33\\python.exe',\n 'python3.4': r'C:\\Python34\\python.exe',\n 'python3.5': r'C:\\Python35\\python.exe',\n}\n\n\n\n# used at least by pytest-xdist plugin\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nrex_outcome = re.compile(\"(\\d+) ([\\w-]+)\")\n\n\n\n\n\n\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def getexecutable(name, cache={}):\n try:\n return cache[name]\n except KeyError:\n executable = py.path.local.sysfind(name)\n if executable:\n if name == \"jython\":\n import subprocess\n popen = subprocess.Popen([str(executable), \"--version\"],\n universal_newlines=True, stderr=subprocess.PIPE)\n out, err = popen.communicate()\n if not err or \"2.5\" not in err:\n executable = None\n if \"2.5.2\" in err:\n executable = None # http://bugs.jython.org/issue1790\n cache[name] = executable\n return executable", "metadata": "root.getexecutable", "header": "['module', '___EOS___']", "index": 119 } ]

[ { "span": "import subprocess", "start_line": 126, "start_column": 16, "end_line": 126, "end_column": 33 } ]

[ { "span": "import subprocess", "start_line": 6, "start_column": 0, "end_line": 6, "end_column": 17 } ]

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[ { "content": " def _get_diff(self):\n # git diff is NOT sorted by modified time\n #command = \"git diff --cached --name-only\"\n git_dir = self.path.get_git_dir()\n working_dir = self.path.get_working_dir()\n command = \"git diff --cached --name-status\"\n return self._execute(command)", "metadata": "root.ChangeLog._get_diff", "header": "['class', 'ChangeLog', '(', 'PickleDB', ')', ':', '___EOS___']", "index": 70 } ]

[ { "span": "git_dir ", "start_line": 73, "start_column": 8, "end_line": 73, "end_column": 15 }, { "span": "working_dir ", "start_line": 74, "start_column": 8, "end_line": 74, "end_column": 19 } ]

[]

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[ { "content": "def import_rooms(fileToImport):\n try:\n sh = xlrd.open_workbook(filename=None, file_contents=fileToImport.read()).sheet_by_index(0)\n except:\n return [\"ERROR: Please upload an .xlsx file. This filetype is not compatible\"]\n num_rooms = 0\n found_end = False\n room_errors = []\n while found_end == False:\n try:\n sh.cell(num_rooms, 0).value\n num_rooms +=1\n except IndexError:\n found_end = True\n\n #Verify sheet has required number of columns\n try:\n sh.cell(0, 1).value\n except:\n room_errors.append(\"ERROR: Insufficient Columns in Sheet. No Data Read\")\n return room_errors\n\n for i in range(1, num_rooms):\n room_name = sh.cell(i, 0).value\n if room_name == '':\n room_errors.append(\"Row \" + str(i) + \": Empty Room Name\")\n continue\n try:\n Room.objects.get(name=room_name)\n room_errors.append(room_name + ': Duplicate Room Name')\n continue\n except:\n pass\n\n #Load and validate room_rank\n room_rank = sh.cell(i, 1).value\n room_string = str(room_rank)\n try:\n room_rank = Decimal(room_rank)\n except:\n room_errors.append(room_name + \": Rank not number\")\n continue\n if len(room_string) > 5 or (room_rank < 10 and len(room_string) > 4):\n room_errors.append(room_name + \": Rank should have no more than two decimal places\")\n continue\n if room_rank >= 100 or room_rank < 0:\n room_errors.append(room_name + \": Rank should be between 0-99.99\")\n continue\n\n #Create the room\n room = Room(name=room_name, rank=room_rank);\n try:\n room.save()\n except:\n room_errors.append(room_name + \": Unknown Error\")\n\n return room_errors", "metadata": "root.import_rooms", "header": "['module', '___EOS___']", "index": 27 } ]

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[ { "content": "class StrictRedis(object):\n \"\"\"\n Implementation of the Redis protocol.\n\n This abstract class provides a Python interface to all Redis commands\n and an implementation of the Redis protocol.\n\n Connection and Pipeline derive from this, implementing how\n the commands are sent and received to the Redis server\n \"\"\"\n RESPONSE_CALLBACKS = dict_merge(\n string_keys_to_dict(\n 'AUTH EXISTS EXPIRE EXPIREAT HEXISTS HMSET MOVE MSETNX PERSIST '\n 'PSETEX RENAMENX SISMEMBER SMOVE SETEX SETNX',\n bool\n ),\n string_keys_to_dict(\n 'BITCOUNT BITPOS DECRBY DEL GETBIT HDEL HLEN INCRBY LINSERT LLEN '\n 'LPUSHX PFADD PFCOUNT RPUSHX SADD SCARD SDIFFSTORE SETBIT '\n 'SETRANGE SINTERSTORE SREM STRLEN SUNIONSTORE ZADD ZCARD '\n 'ZLEXCOUNT ZREM ZREMRANGEBYLEX ZREMRANGEBYRANK ZREMRANGEBYSCORE',\n int\n ),\n string_keys_to_dict('INCRBYFLOAT HINCRBYFLOAT', float),\n string_keys_to_dict(\n # these return OK, or int if redis-server is >=1.3.4\n 'LPUSH RPUSH',\n lambda r: isinstance(r, long) and r or nativestr(r) == 'OK'\n ),\n string_keys_to_dict('SORT', sort_return_tuples),\n string_keys_to_dict('ZSCORE ZINCRBY', float_or_none),\n string_keys_to_dict(\n 'FLUSHALL FLUSHDB LSET LTRIM MSET PFMERGE RENAME '\n 'SAVE SELECT SHUTDOWN SLAVEOF WATCH UNWATCH',\n bool_ok\n ),\n string_keys_to_dict('BLPOP BRPOP', lambda r: r and tuple(r) or None),\n string_keys_to_dict(\n 'SDIFF SINTER SMEMBERS SUNION',\n lambda r: r and set(r) or set()\n ),\n string_keys_to_dict(\n 'ZRANGE ZRANGEBYSCORE ZREVRANGE ZREVRANGEBYSCORE',\n zset_score_pairs\n ),\n string_keys_to_dict('ZRANK ZREVRANK', int_or_none),\n string_keys_to_dict('BGREWRITEAOF BGSAVE', lambda r: True),\n {\n 'CLIENT GETNAME': lambda r: r and nativestr(r),\n 'CLIENT KILL': bool_ok,\n 'CLIENT LIST': parse_client_list,\n 'CLIENT SETNAME': bool_ok,\n 'CONFIG GET': parse_config_get,\n 'CONFIG RESETSTAT': bool_ok,\n 'CONFIG SET': bool_ok,\n 'DEBUG OBJECT': parse_debug_object,\n 'HGETALL': lambda r: r and pairs_to_dict(r) or {},\n 'HSCAN': parse_hscan,\n 'INFO': parse_info,\n 'LASTSAVE': timestamp_to_datetime,\n 'OBJECT': parse_object,\n 'PING': lambda r: nativestr(r) == 'PONG',\n 'RANDOMKEY': lambda r: r and r or None,\n 'SCAN': parse_scan,\n 'SCRIPT EXISTS': lambda r: list(imap(bool, r)),\n 'SCRIPT FLUSH': bool_ok,\n 'SCRIPT KILL': bool_ok,\n 'SCRIPT LOAD': nativestr,\n 'SENTINEL GET-MASTER-ADDR-BY-NAME': parse_sentinel_get_master,\n 'SENTINEL MASTER': parse_sentinel_master,\n 'SENTINEL MASTERS': parse_sentinel_masters,\n 'SENTINEL MONITOR': bool_ok,\n 'SENTINEL REMOVE': bool_ok,\n 'SENTINEL SENTINELS': parse_sentinel_slaves_and_sentinels,\n 'SENTINEL SET': bool_ok,\n 'SENTINEL SLAVES': parse_sentinel_slaves_and_sentinels,\n 'SET': lambda r: r and nativestr(r) == 'OK',\n 'SLOWLOG GET': parse_slowlog_get,\n 'SLOWLOG LEN': int,\n 'SLOWLOG RESET': bool_ok,\n 'SSCAN': parse_scan,\n 'TIME': lambda x: (int(x[0]), int(x[1])),\n 'ZSCAN': parse_zscan\n }\n )\n\n\n\n\n\n\n\n\n\n # COMMAND EXECUTION AND PROTOCOL PARSING\n\n\n # SERVER INFORMATION\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n # BASIC KEY COMMANDS\n\n\n\n\n\n\n\n\n __contains__ = exists\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n # LIST COMMANDS\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n # SCAN COMMANDS\n\n\n\n\n\n\n\n\n # SET COMMANDS\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n # SORTED SET COMMANDS\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n # HYPERLOGLOG COMMANDS\n\n\n\n # HASH COMMANDS\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", "metadata": "root.StrictRedis", "header": "['module', '___EOS___']", "index": 281 }, { "content": " @classmethod\n def from_url(cls, url, db=None, **kwargs):\n \"\"\"\n Return a Redis client object configured from the given URL.\n\n For example::\n\n redis://[:password]@localhost:6379/0\n unix://[:password]@/path/to/socket.sock?db=0\n\n There are several ways to specify a database number. The parse function\n will return the first specified option:\n 1. A ``db`` querystring option, e.g. redis://localhost?db=0\n 2. If using the redis:// scheme, the path argument of the url, e.g.\n redis://localhost/0\n 3. The ``db`` argument to this function.\n\n If none of these options are specified, db=0 is used.\n\n Any additional querystring arguments and keyword arguments will be\n passed along to the ConnectionPool class's initializer. In the case\n of conflicting arguments, querystring arguments always win.\n \"\"\"\n connection_pool = ConnectionPool.from_url(url, db=db, **kwargs)\n return cls(connection_pool=connection_pool)", "metadata": "root.StrictRedis.from_url", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 367 }, { "content": " def __init__(self, host='localhost', port=6379,\n db=0, password=None, socket_timeout=None,\n socket_connect_timeout=None,\n socket_keepalive=None, socket_keepalive_options=None,\n connection_pool=None, unix_socket_path=None,\n encoding='utf-8', encoding_errors='strict',\n charset=None, errors=None,\n decode_responses=False, retry_on_timeout=False,\n ssl=False, ssl_keyfile=None, ssl_certfile=None,\n ssl_cert_reqs=None, ssl_ca_certs=None,\n max_connections=None):\n if not connection_pool:\n if charset is not None:\n warnings.warn(DeprecationWarning(\n '\"charset\" is deprecated. Use \"encoding\" instead'))\n encoding = charset\n if errors is not None:\n warnings.warn(DeprecationWarning(\n '\"errors\" is deprecated. Use \"encoding_errors\" instead'))\n encoding_errors = errors\n\n kwargs = {\n 'db': db,\n 'password': password,\n 'socket_timeout': socket_timeout,\n 'encoding': encoding,\n 'encoding_errors': encoding_errors,\n 'decode_responses': decode_responses,\n 'retry_on_timeout': retry_on_timeout,\n 'max_connections': max_connections\n }\n # based on input, setup appropriate connection args\n if unix_socket_path is not None:\n kwargs.update({\n 'path': unix_socket_path,\n 'connection_class': UnixDomainSocketConnection\n })\n else:\n # TCP specific options\n kwargs.update({\n 'host': host,\n 'port': port,\n 'socket_connect_timeout': socket_connect_timeout,\n 'socket_keepalive': socket_keepalive,\n 'socket_keepalive_options': socket_keepalive_options,\n })\n\n if ssl:\n kwargs.update({\n 'connection_class': SSLConnection,\n 'ssl_keyfile': ssl_keyfile,\n 'ssl_certfile': ssl_certfile,\n 'ssl_cert_reqs': ssl_cert_reqs,\n 'ssl_ca_certs': ssl_ca_certs,\n })\n connection_pool = ConnectionPool(**kwargs)\n self.connection_pool = connection_pool\n self._use_lua_lock = None\n\n self.response_callbacks = self.__class__.RESPONSE_CALLBACKS.copy()", "metadata": "root.StrictRedis.__init__", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 393 }, { "content": " def __repr__(self):\n return \"%s<%s>\" % (type(self).__name__, repr(self.connection_pool))", "metadata": "root.StrictRedis.__repr__", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 454 }, { "content": " def set_response_callback(self, command, callback):\n \"Set a custom Response Callback\"\n self.response_callbacks[command] = callback", "metadata": "root.StrictRedis.set_response_callback", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 457 }, { "content": " def pipeline(self, transaction=True, shard_hint=None):\n \"\"\"\n Return a new pipeline object that can queue multiple commands for\n later execution. ``transaction`` indicates whether all commands\n should be executed atomically. Apart from making a group of operations\n atomic, pipelines are useful for reducing the back-and-forth overhead\n between the client and server.\n \"\"\"\n return StrictPipeline(\n self.connection_pool,\n self.response_callbacks,\n transaction,\n shard_hint)", "metadata": "root.StrictRedis.pipeline", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 461 }, { "content": " def transaction(self, func, *watches, **kwargs):\n \"\"\"\n Convenience method for executing the callable `func` as a transaction\n while watching all keys specified in `watches`. The 'func' callable\n should expect a single argument which is a Pipeline object.\n \"\"\"\n shard_hint = kwargs.pop('shard_hint', None)\n value_from_callable = kwargs.pop('value_from_callable', False)\n watch_delay = kwargs.pop('watch_delay', None)\n with self.pipeline(True, shard_hint) as pipe:\n while 1:\n try:\n if watches:\n pipe.watch(*watches)\n func_value = func(pipe)\n exec_value = pipe.execute()\n return func_value if value_from_callable else exec_value\n except WatchError:\n if watch_delay is not None and watch_delay > 0:\n time.sleep(watch_delay)\n continue", "metadata": "root.StrictRedis.transaction", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 475 }, { "content": " def lock(self, name, timeout=None, sleep=0.1, blocking_timeout=None,\n lock_class=None, thread_local=True):\n \"\"\"\n Return a new Lock object using key ``name`` that mimics\n the behavior of threading.Lock.\n\n If specified, ``timeout`` indicates a maximum life for the lock.\n By default, it will remain locked until release() is called.\n\n ``sleep`` indicates the amount of time to sleep per loop iteration\n when the lock is in blocking mode and another client is currently\n holding the lock.\n\n ``blocking_timeout`` indicates the maximum amount of time in seconds to\n spend trying to acquire the lock. A value of ``None`` indicates\n continue trying forever. ``blocking_timeout`` can be specified as a\n float or integer, both representing the number of seconds to wait.\n\n ``lock_class`` forces the specified lock implementation.\n\n ``thread_local`` indicates whether the lock token is placed in\n thread-local storage. By default, the token is placed in thread local\n storage so that a thread only sees its token, not a token set by\n another thread. Consider the following timeline:\n\n time: 0, thread-1 acquires `my-lock`, with a timeout of 5 seconds.\n thread-1 sets the token to \"abc\"\n time: 1, thread-2 blocks trying to acquire `my-lock` using the\n Lock instance.\n time: 5, thread-1 has not yet completed. redis expires the lock\n key.\n time: 5, thread-2 acquired `my-lock` now that it's available.\n thread-2 sets the token to \"xyz\"\n time: 6, thread-1 finishes its work and calls release(). if the\n token is *not* stored in thread local storage, then\n thread-1 would see the token value as \"xyz\" and would be\n able to successfully release the thread-2's lock.\n\n In some use cases it's necessary to disable thread local storage. For\n example, if you have code where one thread acquires a lock and passes\n that lock instance to a worker thread to release later. If thread\n local storage isn't disabled in this case, the worker thread won't see\n the token set by the thread that acquired the lock. Our assumption\n is that these cases aren't common and as such default to using\n thread local storage. \"\"\"\n if lock_class is None:\n if self._use_lua_lock is None:\n # the first time .lock() is called, determine if we can use\n # Lua by attempting to register the necessary scripts\n try:\n LuaLock.register_scripts(self)\n self._use_lua_lock = True\n except ResponseError:\n self._use_lua_lock = False\n lock_class = self._use_lua_lock and LuaLock or Lock\n return lock_class(self, name, timeout=timeout, sleep=sleep,\n blocking_timeout=blocking_timeout,\n thread_local=thread_local)", "metadata": "root.StrictRedis.lock", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 497 }, { "content": " def pubsub(self, **kwargs):\n \"\"\"\n Return a Publish/Subscribe object. With this object, you can\n subscribe to channels and listen for messages that get published to\n them.\n \"\"\"\n return PubSub(self.connection_pool, **kwargs)", "metadata": "root.StrictRedis.pubsub", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 556 }, { "content": " def execute_command(self, *args, **options):\n \"Execute a command and return a parsed response\"\n pool = self.connection_pool\n command_name = args[0]\n connection = pool.get_connection(command_name, **options)\n try:\n connection.send_command(*args)\n return self.parse_response(connection, command_name, **options)\n except (ConnectionError, TimeoutError) as e:\n connection.disconnect()\n if not connection.retry_on_timeout and isinstance(e, TimeoutError):\n raise\n connection.send_command(*args)\n return self.parse_response(connection, command_name, **options)\n finally:\n pool.release(connection)", "metadata": "root.StrictRedis.execute_command", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 565 }, { "content": " def parse_response(self, connection, command_name, **options):\n \"Parses a response from the Redis server\"\n response = connection.read_response()\n if command_name in self.response_callbacks:\n return self.response_callbacks[command_name](response, **options)\n return response", "metadata": "root.StrictRedis.parse_response", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 582 }, { "content": " def bgrewriteaof(self):\n \"Tell the Redis server to rewrite the AOF file from data in memory.\"\n return self.execute_command('BGREWRITEAOF')", "metadata": "root.StrictRedis.bgrewriteaof", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 590 }, { "content": " def bgsave(self):\n \"\"\"\n Tell the Redis server to save its data to disk. Unlike save(),\n this method is asynchronous and returns immediately.\n \"\"\"\n return self.execute_command('BGSAVE')", "metadata": "root.StrictRedis.bgsave", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 594 }, { "content": " def client_kill(self, address):\n \"Disconnects the client at ``address`` (ip:port)\"\n return self.execute_command('CLIENT KILL', address)", "metadata": "root.StrictRedis.client_kill", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 601 }, { "content": " def client_list(self):\n \"Returns a list of currently connected clients\"\n return self.execute_command('CLIENT LIST')", "metadata": "root.StrictRedis.client_list", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 605 }, { "content": " def client_getname(self):\n \"Returns the current connection name\"\n return self.execute_command('CLIENT GETNAME')", "metadata": "root.StrictRedis.client_getname", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 609 }, { "content": " def client_setname(self, name):\n \"Sets the current connection name\"\n return self.execute_command('CLIENT SETNAME', name)", "metadata": "root.StrictRedis.client_setname", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 613 }, { "content": " def config_get(self, pattern=\"*\"):\n \"Return a dictionary of configuration based on the ``pattern``\"\n return self.execute_command('CONFIG GET', pattern)", "metadata": "root.StrictRedis.config_get", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 617 }, { "content": " def config_set(self, name, value):\n \"Set config item ``name`` with ``value``\"\n return self.execute_command('CONFIG SET', name, value)", "metadata": "root.StrictRedis.config_set", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 621 }, { "content": " def config_resetstat(self):\n \"Reset runtime statistics\"\n return self.execute_command('CONFIG RESETSTAT')", "metadata": "root.StrictRedis.config_resetstat", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 625 }, { "content": " def config_rewrite(self):\n \"Rewrite config file with the minimal change to reflect running config\"\n return self.execute_command('CONFIG REWRITE')", "metadata": "root.StrictRedis.config_rewrite", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 629 }, { "content": " def dbsize(self):\n \"Returns the number of keys in the current database\"\n return self.execute_command('DBSIZE')", "metadata": "root.StrictRedis.dbsize", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 633 }, { "content": " def debug_object(self, key):\n \"Returns version specific meta information about a given key\"\n return self.execute_command('DEBUG OBJECT', key)", "metadata": "root.StrictRedis.debug_object", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 637 }, { "content": " def echo(self, value):\n \"Echo the string back from the server\"\n return self.execute_command('ECHO', value)", "metadata": "root.StrictRedis.echo", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 641 }, { "content": " def flushall(self):\n \"Delete all keys in all databases on the current host\"\n return self.execute_command('FLUSHALL')", "metadata": "root.StrictRedis.flushall", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 645 }, { "content": " def flushdb(self):\n \"Delete all keys in the current database\"\n return self.execute_command('FLUSHDB')", "metadata": "root.StrictRedis.flushdb", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 649 }, { "content": " def info(self, section=None):\n \"\"\"\n Returns a dictionary containing information about the Redis server\n\n The ``section`` option can be used to select a specific section\n of information\n\n The section option is not supported by older versions of Redis Server,\n and will generate ResponseError\n \"\"\"\n if section is None:\n return self.execute_command('INFO')\n else:\n return self.execute_command('INFO', section)", "metadata": "root.StrictRedis.info", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 653 }, { "content": " def lastsave(self):\n \"\"\"\n Return a Python datetime object representing the last time the\n Redis database was saved to disk\n \"\"\"\n return self.execute_command('LASTSAVE')", "metadata": "root.StrictRedis.lastsave", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 668 }, { "content": " def object(self, infotype, key):\n \"Return the encoding, idletime, or refcount about the key\"\n return self.execute_command('OBJECT', infotype, key, infotype=infotype)", "metadata": "root.StrictRedis.object", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 675 }, { "content": " def ping(self):\n \"Ping the Redis server\"\n return self.execute_command('PING')", "metadata": "root.StrictRedis.ping", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 679 }, { "content": " def save(self):\n \"\"\"\n Tell the Redis server to save its data to disk,\n blocking until the save is complete\n \"\"\"\n return self.execute_command('SAVE')", "metadata": "root.StrictRedis.save", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 683 }, { "content": " def sentinel(self, *args):\n \"Redis Sentinel's SENTINEL command.\"\n warnings.warn(\n DeprecationWarning('Use the individual sentinel_* methods'))", "metadata": "root.StrictRedis.sentinel", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 690 }, { "content": " def sentinel_get_master_addr_by_name(self, service_name):\n \"Returns a (host, port) pair for the given ``service_name``\"\n return self.execute_command('SENTINEL GET-MASTER-ADDR-BY-NAME',\n service_name)", "metadata": "root.StrictRedis.sentinel_get_master_addr_by_name", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 695 }, { "content": " def sentinel_master(self, service_name):\n \"Returns a dictionary containing the specified masters state.\"\n return self.execute_command('SENTINEL MASTER', service_name)", "metadata": "root.StrictRedis.sentinel_master", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 700 }, { "content": " def sentinel_masters(self):\n \"Returns a list of dictionaries containing each master's state.\"\n return self.execute_command('SENTINEL MASTERS')", "metadata": "root.StrictRedis.sentinel_masters", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 704 }, { "content": " def sentinel_monitor(self, name, ip, port, quorum):\n \"Add a new master to Sentinel to be monitored\"\n return self.execute_command('SENTINEL MONITOR', name, ip, port, quorum)", "metadata": "root.StrictRedis.sentinel_monitor", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 708 }, { "content": " def sentinel_remove(self, name):\n \"Remove a master from Sentinel's monitoring\"\n return self.execute_command('SENTINEL REMOVE', name)", "metadata": "root.StrictRedis.sentinel_remove", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 712 }, { "content": " def sentinel_sentinels(self, service_name):\n \"Returns a list of sentinels for ``service_name``\"\n return self.execute_command('SENTINEL SENTINELS', service_name)", "metadata": "root.StrictRedis.sentinel_sentinels", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 716 }, { "content": " def sentinel_set(self, name, option, value):\n \"Set Sentinel monitoring parameters for a given master\"\n return self.execute_command('SENTINEL SET', name, option, value)", "metadata": "root.StrictRedis.sentinel_set", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 720 }, { "content": " def sentinel_slaves(self, service_name):\n \"Returns a list of slaves for ``service_name``\"\n return self.execute_command('SENTINEL SLAVES', service_name)", "metadata": "root.StrictRedis.sentinel_slaves", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 724 }, { "content": " def shutdown(self):\n \"Shutdown the server\"\n try:\n self.execute_command('SHUTDOWN')\n except ConnectionError:\n # a ConnectionError here is expected\n return\n raise RedisError(\"SHUTDOWN seems to have failed.\")", "metadata": "root.StrictRedis.shutdown", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 728 }, { "content": " def slaveof(self, host=None, port=None):\n \"\"\"\n Set the server to be a replicated slave of the instance identified\n by the ``host`` and ``port``. If called without arguments, the\n instance is promoted to a master instead.\n \"\"\"\n if host is None and port is None:\n return self.execute_command('SLAVEOF', Token('NO'), Token('ONE'))\n return self.execute_command('SLAVEOF', host, port)", "metadata": "root.StrictRedis.slaveof", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 737 }, { "content": " def slowlog_get(self, num=None):\n \"\"\"\n Get the entries from the slowlog. If ``num`` is specified, get the\n most recent ``num`` items.\n \"\"\"\n args = ['SLOWLOG GET']\n if num is not None:\n args.append(num)\n return self.execute_command(*args)", "metadata": "root.StrictRedis.slowlog_get", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 747 }, { "content": " def slowlog_len(self):\n \"Get the number of items in the slowlog\"\n return self.execute_command('SLOWLOG LEN')", "metadata": "root.StrictRedis.slowlog_len", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 757 }, { "content": " def slowlog_reset(self):\n \"Remove all items in the slowlog\"\n return self.execute_command('SLOWLOG RESET')", "metadata": "root.StrictRedis.slowlog_reset", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 761 }, { "content": " def time(self):\n \"\"\"\n Returns the server time as a 2-item tuple of ints:\n (seconds since epoch, microseconds into this second).\n \"\"\"\n return self.execute_command('TIME')", "metadata": "root.StrictRedis.time", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 765 }, { "content": " def wait(self, num_replicas, timeout):\n \"\"\"\n Redis synchronous replication\n That returns the number of replicas that processed the query when\n we finally have at least ``num_replicas``, or when the ``timeout`` was\n reached.\n \"\"\"\n return self.execute_command('WAIT', num_replicas, timeout)", "metadata": "root.StrictRedis.wait", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 772 }, { "content": " def append(self, key, value):\n \"\"\"\n Appends the string ``value`` to the value at ``key``. If ``key``\n doesn't already exist, create it with a value of ``value``.\n Returns the new length of the value at ``key``.\n \"\"\"\n return self.execute_command('APPEND', key, value)", "metadata": "root.StrictRedis.append", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 782 }, { "content": " def bitcount(self, key, start=None, end=None):\n \"\"\"\n Returns the count of set bits in the value of ``key``. Optional\n ``start`` and ``end`` paramaters indicate which bytes to consider\n \"\"\"\n params = [key]\n if start is not None and end is not None:\n params.append(start)\n params.append(end)\n elif (start is not None and end is None) or \\\n (end is not None and start is None):\n raise RedisError(\"Both start and end must be specified\")\n return self.execute_command('BITCOUNT', *params)", "metadata": "root.StrictRedis.bitcount", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 790 }, { "content": " def bitop(self, operation, dest, *keys):\n \"\"\"\n Perform a bitwise operation using ``operation`` between ``keys`` and\n store the result in ``dest``.\n \"\"\"\n return self.execute_command('BITOP', operation, dest, *keys)", "metadata": "root.StrictRedis.bitop", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 804 }, { "content": " def bitpos(self, key, bit, start=None, end=None):\n \"\"\"\n Return the position of the first bit set to 1 or 0 in a string.\n ``start`` and ``end`` difines search range. The range is interpreted\n as a range of bytes and not a range of bits, so start=0 and end=2\n means to look at the first three bytes.\n \"\"\"\n if bit not in (0, 1):\n raise RedisError('bit must be 0 or 1')\n params = [key, bit]\n\n start is not None and params.append(start)\n\n if start is not None and end is not None:\n params.append(end)\n elif start is None and end is not None:\n raise RedisError(\"start argument is not set, \"\n \"when end is specified\")\n return self.execute_command('BITPOS', *params)", "metadata": "root.StrictRedis.bitpos", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 811 }, { "content": " def decr(self, name, amount=1):\n \"\"\"\n Decrements the value of ``key`` by ``amount``. If no key exists,\n the value will be initialized as 0 - ``amount``\n \"\"\"\n return self.execute_command('DECRBY', name, amount)", "metadata": "root.StrictRedis.decr", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 831 }, { "content": " def delete(self, *names):\n \"Delete one or more keys specified by ``names``\"\n return self.execute_command('DEL', *names)", "metadata": "root.StrictRedis.delete", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 838 }, { "content": " def __delitem__(self, name):\n self.delete(name)", "metadata": "root.StrictRedis.__delitem__", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 842 }, { "content": " def dump(self, name):\n \"\"\"\n Return a serialized version of the value stored at the specified key.\n If key does not exist a nil bulk reply is returned.\n \"\"\"\n return self.execute_command('DUMP', name)", "metadata": "root.StrictRedis.dump", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 845 }, { "content": " def exists(self, name):\n \"Returns a boolean indicating whether key ``name`` exists\"\n return self.execute_command('EXISTS', name)", "metadata": "root.StrictRedis.exists", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 852 }, { "content": " def expire(self, name, time):\n \"\"\"\n Set an expire flag on key ``name`` for ``time`` seconds. ``time``\n can be represented by an integer or a Python timedelta object.\n \"\"\"\n if isinstance(time, datetime.timedelta):\n time = time.seconds + time.days * 24 * 3600\n return self.execute_command('EXPIRE', name, time)", "metadata": "root.StrictRedis.expire", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 857 }, { "content": " def expireat(self, name, when):\n \"\"\"\n Set an expire flag on key ``name``. ``when`` can be represented\n as an integer indicating unix time or a Python datetime object.\n \"\"\"\n if isinstance(when, datetime.datetime):\n when = int(mod_time.mktime(when.timetuple()))\n return self.execute_command('EXPIREAT', name, when)", "metadata": "root.StrictRedis.expireat", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 866 }, { "content": " def get(self, name):\n \"\"\"\n Return the value at key ``name``, or None if the key doesn't exist\n \"\"\"\n return self.execute_command('GET', name)", "metadata": "root.StrictRedis.get", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 875 }, { "content": " def __getitem__(self, name):\n \"\"\"\n Return the value at key ``name``, raises a KeyError if the key\n doesn't exist.\n \"\"\"\n value = self.get(name)\n if value:\n return value\n raise KeyError(name)", "metadata": "root.StrictRedis.__getitem__", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 881 }, { "content": " def getbit(self, name, offset):\n \"Returns a boolean indicating the value of ``offset`` in ``name``\"\n return self.execute_command('GETBIT', name, offset)", "metadata": "root.StrictRedis.getbit", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 891 }, { "content": " def getrange(self, key, start, end):\n \"\"\"\n Returns the substring of the string value stored at ``key``,\n determined by the offsets ``start`` and ``end`` (both are inclusive)\n \"\"\"\n return self.execute_command('GETRANGE', key, start, end)", "metadata": "root.StrictRedis.getrange", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 895 }, { "content": " def getset(self, name, value):\n \"\"\"\n Sets the value at key ``name`` to ``value``\n and returns the old value at key ``name`` atomically.\n \"\"\"\n return self.execute_command('GETSET', name, value)", "metadata": "root.StrictRedis.getset", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 902 }, { "content": " def incr(self, name, amount=1):\n \"\"\"\n Increments the value of ``key`` by ``amount``. If no key exists,\n the value will be initialized as ``amount``\n \"\"\"\n return self.execute_command('INCRBY', name, amount)", "metadata": "root.StrictRedis.incr", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 909 }, { "content": " def incrby(self, name, amount=1):\n \"\"\"\n Increments the value of ``key`` by ``amount``. If no key exists,\n the value will be initialized as ``amount``\n \"\"\"\n\n # An alias for ``incr()``, because it is already implemented\n # as INCRBY redis command.\n return self.incr(name, amount)", "metadata": "root.StrictRedis.incrby", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 916 }, { "content": " def incrbyfloat(self, name, amount=1.0):\n \"\"\"\n Increments the value at key ``name`` by floating ``amount``.\n If no key exists, the value will be initialized as ``amount``\n \"\"\"\n return self.execute_command('INCRBYFLOAT', name, amount)", "metadata": "root.StrictRedis.incrbyfloat", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 926 }, { "content": " def keys(self, pattern='*'):\n \"Returns a list of keys matching ``pattern``\"\n return self.execute_command('KEYS', pattern)", "metadata": "root.StrictRedis.keys", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 933 }, { "content": " def mget(self, keys, *args):\n \"\"\"\n Returns a list of values ordered identically to ``keys``\n \"\"\"\n args = list_or_args(keys, args)\n return self.execute_command('MGET', *args)", "metadata": "root.StrictRedis.mget", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 937 }, { "content": " def mset(self, *args, **kwargs):\n \"\"\"\n Sets key/values based on a mapping. Mapping can be supplied as a single\n dictionary argument or as kwargs.\n \"\"\"\n if args:\n if len(args) != 1 or not isinstance(args[0], dict):\n raise RedisError('MSET requires **kwargs or a single dict arg')\n kwargs.update(args[0])\n items = []\n for pair in iteritems(kwargs):\n items.extend(pair)\n return self.execute_command('MSET', *items)", "metadata": "root.StrictRedis.mset", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 944 }, { "content": " def msetnx(self, *args, **kwargs):\n \"\"\"\n Sets key/values based on a mapping if none of the keys are already set.\n Mapping can be supplied as a single dictionary argument or as kwargs.\n Returns a boolean indicating if the operation was successful.\n \"\"\"\n if args:\n if len(args) != 1 or not isinstance(args[0], dict):\n raise RedisError('MSETNX requires **kwargs or a single '\n 'dict arg')\n kwargs.update(args[0])\n items = []\n for pair in iteritems(kwargs):\n items.extend(pair)\n return self.execute_command('MSETNX', *items)", "metadata": "root.StrictRedis.msetnx", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 958 }, { "content": " def move(self, name, db):\n \"Moves the key ``name`` to a different Redis database ``db``\"\n return self.execute_command('MOVE', name, db)", "metadata": "root.StrictRedis.move", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 974 }, { "content": " def persist(self, name):\n \"Removes an expiration on ``name``\"\n return self.execute_command('PERSIST', name)", "metadata": "root.StrictRedis.persist", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 978 }, { "content": " def pexpire(self, name, time):\n \"\"\"\n Set an expire flag on key ``name`` for ``time`` milliseconds.\n ``time`` can be represented by an integer or a Python timedelta\n object.\n \"\"\"\n if isinstance(time, datetime.timedelta):\n ms = int(time.microseconds / 1000)\n time = (time.seconds + time.days * 24 * 3600) * 1000 + ms\n return self.execute_command('PEXPIRE', name, time)", "metadata": "root.StrictRedis.pexpire", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 982 }, { "content": " def pexpireat(self, name, when):\n \"\"\"\n Set an expire flag on key ``name``. ``when`` can be represented\n as an integer representing unix time in milliseconds (unix time * 1000)\n or a Python datetime object.\n \"\"\"\n if isinstance(when, datetime.datetime):\n ms = int(when.microsecond / 1000)\n when = int(mod_time.mktime(when.timetuple())) * 1000 + ms\n return self.execute_command('PEXPIREAT', name, when)", "metadata": "root.StrictRedis.pexpireat", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 993 }, { "content": " def psetex(self, name, time_ms, value):\n \"\"\"\n Set the value of key ``name`` to ``value`` that expires in ``time_ms``\n milliseconds. ``time_ms`` can be represented by an integer or a Python\n timedelta object\n \"\"\"\n if isinstance(time_ms, datetime.timedelta):\n ms = int(time_ms.microseconds / 1000)\n time_ms = (time_ms.seconds + time_ms.days * 24 * 3600) * 1000 + ms\n return self.execute_command('PSETEX', name, time_ms, value)", "metadata": "root.StrictRedis.psetex", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1004 }, { "content": " def pttl(self, name):\n \"Returns the number of milliseconds until the key ``name`` will expire\"\n return self.execute_command('PTTL', name)", "metadata": "root.StrictRedis.pttl", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1015 }, { "content": " def randomkey(self):\n \"Returns the name of a random key\"\n return self.execute_command('RANDOMKEY')", "metadata": "root.StrictRedis.randomkey", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1019 }, { "content": " def rename(self, src, dst):\n \"\"\"\n Rename key ``src`` to ``dst``\n \"\"\"\n return self.execute_command('RENAME', src, dst)", "metadata": "root.StrictRedis.rename", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1023 }, { "content": " def renamenx(self, src, dst):\n \"Rename key ``src`` to ``dst`` if ``dst`` doesn't already exist\"\n return self.execute_command('RENAMENX', src, dst)", "metadata": "root.StrictRedis.renamenx", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1029 }, { "content": " def restore(self, name, ttl, value):\n \"\"\"\n Create a key using the provided serialized value, previously obtained\n using DUMP.\n \"\"\"\n return self.execute_command('RESTORE', name, ttl, value)", "metadata": "root.StrictRedis.restore", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1033 }, { "content": " def set(self, name, value, ex=None, px=None, nx=False, xx=False):\n \"\"\"\n Set the value at key ``name`` to ``value``\n\n ``ex`` sets an expire flag on key ``name`` for ``ex`` seconds.\n\n ``px`` sets an expire flag on key ``name`` for ``px`` milliseconds.\n\n ``nx`` if set to True, set the value at key ``name`` to ``value`` if it\n does not already exist.\n\n ``xx`` if set to True, set the value at key ``name`` to ``value`` if it\n already exists.\n \"\"\"\n pieces = [name, value]\n if ex:\n pieces.append('EX')\n if isinstance(ex, datetime.timedelta):\n ex = ex.seconds + ex.days * 24 * 3600\n pieces.append(ex)\n if px:\n pieces.append('PX')\n if isinstance(px, datetime.timedelta):\n ms = int(px.microseconds / 1000)\n px = (px.seconds + px.days * 24 * 3600) * 1000 + ms\n pieces.append(px)\n\n if nx:\n pieces.append('NX')\n if xx:\n pieces.append('XX')\n return self.execute_command('SET', *pieces)", "metadata": "root.StrictRedis.set", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1040 }, { "content": " def __setitem__(self, name, value):\n self.set(name, value)", "metadata": "root.StrictRedis.__setitem__", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1073 }, { "content": " def setbit(self, name, offset, value):\n \"\"\"\n Flag the ``offset`` in ``name`` as ``value``. Returns a boolean\n indicating the previous value of ``offset``.\n \"\"\"\n value = value and 1 or 0\n return self.execute_command('SETBIT', name, offset, value)", "metadata": "root.StrictRedis.setbit", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1076 }, { "content": " def setex(self, name, time, value):\n \"\"\"\n Set the value of key ``name`` to ``value`` that expires in ``time``\n seconds. ``time`` can be represented by an integer or a Python\n timedelta object.\n \"\"\"\n if isinstance(time, datetime.timedelta):\n time = time.seconds + time.days * 24 * 3600\n return self.execute_command('SETEX', name, time, value)", "metadata": "root.StrictRedis.setex", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1084 }, { "content": " def setnx(self, name, value):\n \"Set the value of key ``name`` to ``value`` if key doesn't exist\"\n return self.execute_command('SETNX', name, value)", "metadata": "root.StrictRedis.setnx", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1094 }, { "content": " def setrange(self, name, offset, value):\n \"\"\"\n Overwrite bytes in the value of ``name`` starting at ``offset`` with\n ``value``. If ``offset`` plus the length of ``value`` exceeds the\n length of the original value, the new value will be larger than before.\n If ``offset`` exceeds the length of the original value, null bytes\n will be used to pad between the end of the previous value and the start\n of what's being injected.\n\n Returns the length of the new string.\n \"\"\"\n return self.execute_command('SETRANGE', name, offset, value)", "metadata": "root.StrictRedis.setrange", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1098 }, { "content": " def strlen(self, name):\n \"Return the number of bytes stored in the value of ``name``\"\n return self.execute_command('STRLEN', name)", "metadata": "root.StrictRedis.strlen", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1111 }, { "content": " def substr(self, name, start, end=-1):\n \"\"\"\n Return a substring of the string at key ``name``. ``start`` and ``end``\n are 0-based integers specifying the portion of the string to return.\n \"\"\"\n return self.execute_command('SUBSTR', name, start, end)", "metadata": "root.StrictRedis.substr", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1115 }, { "content": " def ttl(self, name):\n \"Returns the number of seconds until the key ``name`` will expire\"\n return self.execute_command('TTL', name)", "metadata": "root.StrictRedis.ttl", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1122 }, { "content": " def type(self, name):\n \"Returns the type of key ``name``\"\n return self.execute_command('TYPE', name)", "metadata": "root.StrictRedis.type", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1126 }, { "content": " def watch(self, *names):\n \"\"\"\n Watches the values at keys ``names``, or None if the key doesn't exist\n \"\"\"\n warnings.warn(DeprecationWarning('Call WATCH from a Pipeline object'))", "metadata": "root.StrictRedis.watch", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1130 }, { "content": " def unwatch(self):\n \"\"\"\n Unwatches the value at key ``name``, or None of the key doesn't exist\n \"\"\"\n warnings.warn(\n DeprecationWarning('Call UNWATCH from a Pipeline object'))", "metadata": "root.StrictRedis.unwatch", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1136 }, { "content": " def blpop(self, keys, timeout=0):\n \"\"\"\n LPOP a value off of the first non-empty list\n named in the ``keys`` list.\n\n If none of the lists in ``keys`` has a value to LPOP, then block\n for ``timeout`` seconds, or until a value gets pushed on to one\n of the lists.\n\n If timeout is 0, then block indefinitely.\n \"\"\"\n if timeout is None:\n timeout = 0\n if isinstance(keys, basestring):\n keys = [keys]\n else:\n keys = list(keys)\n keys.append(timeout)\n return self.execute_command('BLPOP', *keys)", "metadata": "root.StrictRedis.blpop", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1144 }, { "content": " def brpop(self, keys, timeout=0):\n \"\"\"\n RPOP a value off of the first non-empty list\n named in the ``keys`` list.\n\n If none of the lists in ``keys`` has a value to LPOP, then block\n for ``timeout`` seconds, or until a value gets pushed on to one\n of the lists.\n\n If timeout is 0, then block indefinitely.\n \"\"\"\n if timeout is None:\n timeout = 0\n if isinstance(keys, basestring):\n keys = [keys]\n else:\n keys = list(keys)\n keys.append(timeout)\n return self.execute_command('BRPOP', *keys)", "metadata": "root.StrictRedis.brpop", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1164 }, { "content": " def brpoplpush(self, src, dst, timeout=0):\n \"\"\"\n Pop a value off the tail of ``src``, push it on the head of ``dst``\n and then return it.\n\n This command blocks until a value is in ``src`` or until ``timeout``\n seconds elapse, whichever is first. A ``timeout`` value of 0 blocks\n forever.\n \"\"\"\n if timeout is None:\n timeout = 0\n return self.execute_command('BRPOPLPUSH', src, dst, timeout)", "metadata": "root.StrictRedis.brpoplpush", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1184 }, { "content": " def lindex(self, name, index):\n \"\"\"\n Return the item from list ``name`` at position ``index``\n\n Negative indexes are supported and will return an item at the\n end of the list\n \"\"\"\n return self.execute_command('LINDEX', name, index)", "metadata": "root.StrictRedis.lindex", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1197 }, { "content": " def linsert(self, name, where, refvalue, value):\n \"\"\"\n Insert ``value`` in list ``name`` either immediately before or after\n [``where``] ``refvalue``\n\n Returns the new length of the list on success or -1 if ``refvalue``\n is not in the list.\n \"\"\"\n return self.execute_command('LINSERT', name, where, refvalue, value)", "metadata": "root.StrictRedis.linsert", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1206 }, { "content": " def llen(self, name):\n \"Return the length of the list ``name``\"\n return self.execute_command('LLEN', name)", "metadata": "root.StrictRedis.llen", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1216 }, { "content": " def lpop(self, name):\n \"Remove and return the first item of the list ``name``\"\n return self.execute_command('LPOP', name)", "metadata": "root.StrictRedis.lpop", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1220 }, { "content": " def lpush(self, name, *values):\n \"Push ``values`` onto the head of the list ``name``\"\n return self.execute_command('LPUSH', name, *values)", "metadata": "root.StrictRedis.lpush", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1224 }, { "content": " def lpushx(self, name, value):\n \"Push ``value`` onto the head of the list ``name`` if ``name`` exists\"\n return self.execute_command('LPUSHX', name, value)", "metadata": "root.StrictRedis.lpushx", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1228 }, { "content": " def lrange(self, name, start, end):\n \"\"\"\n Return a slice of the list ``name`` between\n position ``start`` and ``end``\n\n ``start`` and ``end`` can be negative numbers just like\n Python slicing notation\n \"\"\"\n return self.execute_command('LRANGE', name, start, end)", "metadata": "root.StrictRedis.lrange", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1232 }, { "content": " def lrem(self, name, count, value):\n \"\"\"\n Remove the first ``count`` occurrences of elements equal to ``value``\n from the list stored at ``name``.\n\n The count argument influences the operation in the following ways:\n count > 0: Remove elements equal to value moving from head to tail.\n count < 0: Remove elements equal to value moving from tail to head.\n count = 0: Remove all elements equal to value.\n \"\"\"\n return self.execute_command('LREM', name, count, value)", "metadata": "root.StrictRedis.lrem", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1242 }, { "content": " def lset(self, name, index, value):\n \"Set ``position`` of list ``name`` to ``value``\"\n return self.execute_command('LSET', name, index, value)", "metadata": "root.StrictRedis.lset", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1254 }, { "content": " def ltrim(self, name, start, end):\n \"\"\"\n Trim the list ``name``, removing all values not within the slice\n between ``start`` and ``end``\n\n ``start`` and ``end`` can be negative numbers just like\n Python slicing notation\n \"\"\"\n return self.execute_command('LTRIM', name, start, end)", "metadata": "root.StrictRedis.ltrim", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1258 }, { "content": " def rpop(self, name):\n \"Remove and return the last item of the list ``name``\"\n return self.execute_command('RPOP', name)", "metadata": "root.StrictRedis.rpop", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1268 }, { "content": " def rpoplpush(self, src, dst):\n \"\"\"\n RPOP a value off of the ``src`` list and atomically LPUSH it\n on to the ``dst`` list. Returns the value.\n \"\"\"\n return self.execute_command('RPOPLPUSH', src, dst)", "metadata": "root.StrictRedis.rpoplpush", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1272 }, { "content": " def rpush(self, name, *values):\n \"Push ``values`` onto the tail of the list ``name``\"\n return self.execute_command('RPUSH', name, *values)", "metadata": "root.StrictRedis.rpush", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1279 }, { "content": " def rpushx(self, name, value):\n \"Push ``value`` onto the tail of the list ``name`` if ``name`` exists\"\n return self.execute_command('RPUSHX', name, value)", "metadata": "root.StrictRedis.rpushx", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1283 }, { "content": " def sort(self, name, start=None, num=None, by=None, get=None,\n desc=False, alpha=False, store=None, groups=False):\n \"\"\"\n Sort and return the list, set or sorted set at ``name``.\n\n ``start`` and ``num`` allow for paging through the sorted data\n\n ``by`` allows using an external key to weight and sort the items.\n Use an \"*\" to indicate where in the key the item value is located\n\n ``get`` allows for returning items from external keys rather than the\n sorted data itself. Use an \"*\" to indicate where int he key\n the item value is located\n\n ``desc`` allows for reversing the sort\n\n ``alpha`` allows for sorting lexicographically rather than numerically\n\n ``store`` allows for storing the result of the sort into\n the key ``store``\n\n ``groups`` if set to True and if ``get`` contains at least two\n elements, sort will return a list of tuples, each containing the\n values fetched from the arguments to ``get``.\n\n \"\"\"\n if (start is not None and num is None) or \\\n (num is not None and start is None):\n raise RedisError(\"``start`` and ``num`` must both be specified\")\n\n pieces = [name]\n if by is not None:\n pieces.append(Token('BY'))\n pieces.append(by)\n if start is not None and num is not None:\n pieces.append(Token('LIMIT'))\n pieces.append(start)\n pieces.append(num)\n if get is not None:\n # If get is a string assume we want to get a single value.\n # Otherwise assume it's an interable and we want to get multiple\n # values. We can't just iterate blindly because strings are\n # iterable.\n if isinstance(get, basestring):\n pieces.append(Token('GET'))\n pieces.append(get)\n else:\n for g in get:\n pieces.append(Token('GET'))\n pieces.append(g)\n if desc:\n pieces.append(Token('DESC'))\n if alpha:\n pieces.append(Token('ALPHA'))\n if store is not None:\n pieces.append(Token('STORE'))\n pieces.append(store)\n\n if groups:\n if not get or isinstance(get, basestring) or len(get) < 2:\n raise DataError('when using \"groups\" the \"get\" argument '\n 'must be specified and contain at least '\n 'two keys')\n\n options = {'groups': len(get) if groups else None}\n return self.execute_command('SORT', *pieces, **options)", "metadata": "root.StrictRedis.sort", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1287 }, { "content": " def scan(self, cursor=0, match=None, count=None):\n \"\"\"\n Incrementally return lists of key names. Also return a cursor\n indicating the scan position.\n\n ``match`` allows for filtering the keys by pattern\n\n ``count`` allows for hint the minimum number of returns\n \"\"\"\n pieces = [cursor]\n if match is not None:\n pieces.extend([Token('MATCH'), match])\n if count is not None:\n pieces.extend([Token('COUNT'), count])\n return self.execute_command('SCAN', *pieces)", "metadata": "root.StrictRedis.scan", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1355 }, { "content": " def scan_iter(self, match=None, count=None):\n \"\"\"\n Make an iterator using the SCAN command so that the client doesn't\n need to remember the cursor position.\n\n ``match`` allows for filtering the keys by pattern\n\n ``count`` allows for hint the minimum number of returns\n \"\"\"\n cursor = '0'\n while cursor != 0:\n cursor, data = self.scan(cursor=cursor, match=match, count=count)\n for item in data:\n yield item", "metadata": "root.StrictRedis.scan_iter", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1371 }, { "content": " def sscan(self, name, cursor=0, match=None, count=None):\n \"\"\"\n Incrementally return lists of elements in a set. Also return a cursor\n indicating the scan position.\n\n ``match`` allows for filtering the keys by pattern\n\n ``count`` allows for hint the minimum number of returns\n \"\"\"\n pieces = [name, cursor]\n if match is not None:\n pieces.extend([Token('MATCH'), match])\n if count is not None:\n pieces.extend([Token('COUNT'), count])\n return self.execute_command('SSCAN', *pieces)", "metadata": "root.StrictRedis.sscan", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1386 }, { "content": " def sscan_iter(self, name, match=None, count=None):\n \"\"\"\n Make an iterator using the SSCAN command so that the client doesn't\n need to remember the cursor position.\n\n ``match`` allows for filtering the keys by pattern\n\n ``count`` allows for hint the minimum number of returns\n \"\"\"\n cursor = '0'\n while cursor != 0:\n cursor, data = self.sscan(name, cursor=cursor,\n match=match, count=count)\n for item in data:\n yield item", "metadata": "root.StrictRedis.sscan_iter", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1402 }, { "content": " def hscan(self, name, cursor=0, match=None, count=None):\n \"\"\"\n Incrementally return key/value slices in a hash. Also return a cursor\n indicating the scan position.\n\n ``match`` allows for filtering the keys by pattern\n\n ``count`` allows for hint the minimum number of returns\n \"\"\"\n pieces = [name, cursor]\n if match is not None:\n pieces.extend([Token('MATCH'), match])\n if count is not None:\n pieces.extend([Token('COUNT'), count])\n return self.execute_command('HSCAN', *pieces)", "metadata": "root.StrictRedis.hscan", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1418 }, { "content": " def hscan_iter(self, name, match=None, count=None):\n \"\"\"\n Make an iterator using the HSCAN command so that the client doesn't\n need to remember the cursor position.\n\n ``match`` allows for filtering the keys by pattern\n\n ``count`` allows for hint the minimum number of returns\n \"\"\"\n cursor = '0'\n while cursor != 0:\n cursor, data = self.hscan(name, cursor=cursor,\n match=match, count=count)\n for item in data.items():\n yield item", "metadata": "root.StrictRedis.hscan_iter", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1434 }, { "content": " def zscan(self, name, cursor=0, match=None, count=None,\n score_cast_func=float):\n \"\"\"\n Incrementally return lists of elements in a sorted set. Also return a\n cursor indicating the scan position.\n\n ``match`` allows for filtering the keys by pattern\n\n ``count`` allows for hint the minimum number of returns\n\n ``score_cast_func`` a callable used to cast the score return value\n \"\"\"\n pieces = [name, cursor]\n if match is not None:\n pieces.extend([Token('MATCH'), match])\n if count is not None:\n pieces.extend([Token('COUNT'), count])\n options = {'score_cast_func': score_cast_func}\n return self.execute_command('ZSCAN', *pieces, **options)", "metadata": "root.StrictRedis.zscan", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1450 }, { "content": " def zscan_iter(self, name, match=None, count=None,\n score_cast_func=float):\n \"\"\"\n Make an iterator using the ZSCAN command so that the client doesn't\n need to remember the cursor position.\n\n ``match`` allows for filtering the keys by pattern\n\n ``count`` allows for hint the minimum number of returns\n\n ``score_cast_func`` a callable used to cast the score return value\n \"\"\"\n cursor = '0'\n while cursor != 0:\n cursor, data = self.zscan(name, cursor=cursor, match=match,\n count=count,\n score_cast_func=score_cast_func)\n for item in data:\n yield item", "metadata": "root.StrictRedis.zscan_iter", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1470 }, { "content": " def sadd(self, name, *values):\n \"Add ``value(s)`` to set ``name``\"\n return self.execute_command('SADD', name, *values)", "metadata": "root.StrictRedis.sadd", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1491 }, { "content": " def scard(self, name):\n \"Return the number of elements in set ``name``\"\n return self.execute_command('SCARD', name)", "metadata": "root.StrictRedis.scard", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1495 }, { "content": " def sdiff(self, keys, *args):\n \"Return the difference of sets specified by ``keys``\"\n args = list_or_args(keys, args)\n return self.execute_command('SDIFF', *args)", "metadata": "root.StrictRedis.sdiff", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1499 }, { "content": " def sdiffstore(self, dest, keys, *args):\n \"\"\"\n Store the difference of sets specified by ``keys`` into a new\n set named ``dest``. Returns the number of keys in the new set.\n \"\"\"\n args = list_or_args(keys, args)\n return self.execute_command('SDIFFSTORE', dest, *args)", "metadata": "root.StrictRedis.sdiffstore", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1504 }, { "content": " def sinter(self, keys, *args):\n \"Return the intersection of sets specified by ``keys``\"\n args = list_or_args(keys, args)\n return self.execute_command('SINTER', *args)", "metadata": "root.StrictRedis.sinter", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1512 }, { "content": " def sinterstore(self, dest, keys, *args):\n \"\"\"\n Store the intersection of sets specified by ``keys`` into a new\n set named ``dest``. Returns the number of keys in the new set.\n \"\"\"\n args = list_or_args(keys, args)\n return self.execute_command('SINTERSTORE', dest, *args)", "metadata": "root.StrictRedis.sinterstore", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1517 }, { "content": " def sismember(self, name, value):\n \"Return a boolean indicating if ``value`` is a member of set ``name``\"\n return self.execute_command('SISMEMBER', name, value)", "metadata": "root.StrictRedis.sismember", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1525 }, { "content": " def smembers(self, name):\n \"Return all members of the set ``name``\"\n return self.execute_command('SMEMBERS', name)", "metadata": "root.StrictRedis.smembers", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1529 }, { "content": " def smove(self, src, dst, value):\n \"Move ``value`` from set ``src`` to set ``dst`` atomically\"\n return self.execute_command('SMOVE', src, dst, value)", "metadata": "root.StrictRedis.smove", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1533 }, { "content": " def spop(self, name):\n \"Remove and return a random member of set ``name``\"\n return self.execute_command('SPOP', name)", "metadata": "root.StrictRedis.spop", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1537 }, { "content": " def srandmember(self, name, number=None):\n \"\"\"\n If ``number`` is None, returns a random member of set ``name``.\n\n If ``number`` is supplied, returns a list of ``number`` random\n memebers of set ``name``. Note this is only available when running\n Redis 2.6+.\n \"\"\"\n args = number and [number] or []\n return self.execute_command('SRANDMEMBER', name, *args)", "metadata": "root.StrictRedis.srandmember", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1541 }, { "content": " def srem(self, name, *values):\n \"Remove ``values`` from set ``name``\"\n return self.execute_command('SREM', name, *values)", "metadata": "root.StrictRedis.srem", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1552 }, { "content": " def sunion(self, keys, *args):\n \"Return the union of sets specified by ``keys``\"\n args = list_or_args(keys, args)\n return self.execute_command('SUNION', *args)", "metadata": "root.StrictRedis.sunion", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1556 }, { "content": " def sunionstore(self, dest, keys, *args):\n \"\"\"\n Store the union of sets specified by ``keys`` into a new\n set named ``dest``. Returns the number of keys in the new set.\n \"\"\"\n args = list_or_args(keys, args)\n return self.execute_command('SUNIONSTORE', dest, *args)", "metadata": "root.StrictRedis.sunionstore", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1561 }, { "content": " def zadd(self, name, *args, **kwargs):\n \"\"\"\n Set any number of score, element-name pairs to the key ``name``. Pairs\n can be specified in two ways:\n\n As *args, in the form of: score1, name1, score2, name2, ...\n or as **kwargs, in the form of: name1=score1, name2=score2, ...\n\n The following example would add four values to the 'my-key' key:\n redis.zadd('my-key', 1.1, 'name1', 2.2, 'name2', name3=3.3, name4=4.4)\n \"\"\"\n pieces = []\n if args:\n if len(args) % 2 != 0:\n raise RedisError(\"ZADD requires an equal number of \"\n \"values and scores\")\n pieces.extend(args)\n for pair in iteritems(kwargs):\n pieces.append(pair[1])\n pieces.append(pair[0])\n return self.execute_command('ZADD', name, *pieces)", "metadata": "root.StrictRedis.zadd", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1570 }, { "content": " def zcard(self, name):\n \"Return the number of elements in the sorted set ``name``\"\n return self.execute_command('ZCARD', name)", "metadata": "root.StrictRedis.zcard", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1592 }, { "content": " def zcount(self, name, min, max):\n \"\"\"\n Returns the number of elements in the sorted set at key ``name`` with\n a score between ``min`` and ``max``.\n \"\"\"\n return self.execute_command('ZCOUNT', name, min, max)", "metadata": "root.StrictRedis.zcount", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1596 }, { "content": " def zincrby(self, name, value, amount=1):\n \"Increment the score of ``value`` in sorted set ``name`` by ``amount``\"\n return self.execute_command('ZINCRBY', name, amount, value)", "metadata": "root.StrictRedis.zincrby", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1603 }, { "content": " def zinterstore(self, dest, keys, aggregate=None):\n \"\"\"\n Intersect multiple sorted sets specified by ``keys`` into\n a new sorted set, ``dest``. Scores in the destination will be\n aggregated based on the ``aggregate``, or SUM if none is provided.\n \"\"\"\n return self._zaggregate('ZINTERSTORE', dest, keys, aggregate)", "metadata": "root.StrictRedis.zinterstore", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1607 }, { "content": " def zlexcount(self, name, min, max):\n \"\"\"\n Return the number of items in the sorted set ``name`` between the\n lexicographical range ``min`` and ``max``.\n \"\"\"\n return self.execute_command('ZLEXCOUNT', name, min, max)", "metadata": "root.StrictRedis.zlexcount", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1615 }, { "content": " def zrange(self, name, start, end, desc=False, withscores=False,\n score_cast_func=float):\n \"\"\"\n Return a range of values from sorted set ``name`` between\n ``start`` and ``end`` sorted in ascending order.\n\n ``start`` and ``end`` can be negative, indicating the end of the range.\n\n ``desc`` a boolean indicating whether to sort the results descendingly\n\n ``withscores`` indicates to return the scores along with the values.\n The return type is a list of (value, score) pairs\n\n ``score_cast_func`` a callable used to cast the score return value\n \"\"\"\n if desc:\n return self.zrevrange(name, start, end, withscores,\n score_cast_func)\n pieces = ['ZRANGE', name, start, end]\n if withscores:\n pieces.append(Token('WITHSCORES'))\n options = {\n 'withscores': withscores,\n 'score_cast_func': score_cast_func\n }\n return self.execute_command(*pieces, **options)", "metadata": "root.StrictRedis.zrange", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1622 }, { "content": " def zrangebylex(self, name, min, max, start=None, num=None):\n \"\"\"\n Return the lexicographical range of values from sorted set ``name``\n between ``min`` and ``max``.\n\n If ``start`` and ``num`` are specified, then return a slice of the\n range.\n \"\"\"\n if (start is not None and num is None) or \\\n (num is not None and start is None):\n raise RedisError(\"``start`` and ``num`` must both be specified\")\n pieces = ['ZRANGEBYLEX', name, min, max]\n if start is not None and num is not None:\n pieces.extend([Token('LIMIT'), start, num])\n return self.execute_command(*pieces)", "metadata": "root.StrictRedis.zrangebylex", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1649 }, { "content": " def zrevrangebylex(self, name, max, min, start=None, num=None):\n \"\"\"\n Return the reversed lexicographical range of values from sorted set\n ``name`` between ``max`` and ``min``.\n\n If ``start`` and ``num`` are specified, then return a slice of the\n range.\n \"\"\"\n if (start is not None and num is None) or \\\n (num is not None and start is None):\n raise RedisError(\"``start`` and ``num`` must both be specified\")\n pieces = ['ZREVRANGEBYLEX', name, max, min]\n if start is not None and num is not None:\n pieces.extend([Token('LIMIT'), start, num])\n return self.execute_command(*pieces)", "metadata": "root.StrictRedis.zrevrangebylex", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1665 }, { "content": " def zrangebyscore(self, name, min, max, start=None, num=None,\n withscores=False, score_cast_func=float):\n \"\"\"\n Return a range of values from the sorted set ``name`` with scores\n between ``min`` and ``max``.\n\n If ``start`` and ``num`` are specified, then return a slice\n of the range.\n\n ``withscores`` indicates to return the scores along with the values.\n The return type is a list of (value, score) pairs\n\n `score_cast_func`` a callable used to cast the score return value\n \"\"\"\n if (start is not None and num is None) or \\\n (num is not None and start is None):\n raise RedisError(\"``start`` and ``num`` must both be specified\")\n pieces = ['ZRANGEBYSCORE', name, min, max]\n if start is not None and num is not None:\n pieces.extend([Token('LIMIT'), start, num])\n if withscores:\n pieces.append(Token('WITHSCORES'))\n options = {\n 'withscores': withscores,\n 'score_cast_func': score_cast_func\n }\n return self.execute_command(*pieces, **options)", "metadata": "root.StrictRedis.zrangebyscore", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1681 }, { "content": " def zrank(self, name, value):\n \"\"\"\n Returns a 0-based value indicating the rank of ``value`` in sorted set\n ``name``\n \"\"\"\n return self.execute_command('ZRANK', name, value)", "metadata": "root.StrictRedis.zrank", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1709 }, { "content": " def zrem(self, name, *values):\n \"Remove member ``values`` from sorted set ``name``\"\n return self.execute_command('ZREM', name, *values)", "metadata": "root.StrictRedis.zrem", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1716 }, { "content": " def zremrangebylex(self, name, min, max):\n \"\"\"\n Remove all elements in the sorted set ``name`` between the\n lexicographical range specified by ``min`` and ``max``.\n\n Returns the number of elements removed.\n \"\"\"\n return self.execute_command('ZREMRANGEBYLEX', name, min, max)", "metadata": "root.StrictRedis.zremrangebylex", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1720 }, { "content": " def zremrangebyrank(self, name, min, max):\n \"\"\"\n Remove all elements in the sorted set ``name`` with ranks between\n ``min`` and ``max``. Values are 0-based, ordered from smallest score\n to largest. Values can be negative indicating the highest scores.\n Returns the number of elements removed\n \"\"\"\n return self.execute_command('ZREMRANGEBYRANK', name, min, max)", "metadata": "root.StrictRedis.zremrangebyrank", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1729 }, { "content": " def zremrangebyscore(self, name, min, max):\n \"\"\"\n Remove all elements in the sorted set ``name`` with scores\n between ``min`` and ``max``. Returns the number of elements removed.\n \"\"\"\n return self.execute_command('ZREMRANGEBYSCORE', name, min, max)", "metadata": "root.StrictRedis.zremrangebyscore", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1738 }, { "content": " def zrevrange(self, name, start, end, withscores=False,\n score_cast_func=float):\n \"\"\"\n Return a range of values from sorted set ``name`` between\n ``start`` and ``end`` sorted in descending order.\n\n ``start`` and ``end`` can be negative, indicating the end of the range.\n\n ``withscores`` indicates to return the scores along with the values\n The return type is a list of (value, score) pairs\n\n ``score_cast_func`` a callable used to cast the score return value\n \"\"\"\n pieces = ['ZREVRANGE', name, start, end]\n if withscores:\n pieces.append(Token('WITHSCORES'))\n options = {\n 'withscores': withscores,\n 'score_cast_func': score_cast_func\n }\n return self.execute_command(*pieces, **options)", "metadata": "root.StrictRedis.zrevrange", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1745 }, { "content": " def zrevrangebyscore(self, name, max, min, start=None, num=None,\n withscores=False, score_cast_func=float):\n \"\"\"\n Return a range of values from the sorted set ``name`` with scores\n between ``min`` and ``max`` in descending order.\n\n If ``start`` and ``num`` are specified, then return a slice\n of the range.\n\n ``withscores`` indicates to return the scores along with the values.\n The return type is a list of (value, score) pairs\n\n ``score_cast_func`` a callable used to cast the score return value\n \"\"\"\n if (start is not None and num is None) or \\\n (num is not None and start is None):\n raise RedisError(\"``start`` and ``num`` must both be specified\")\n pieces = ['ZREVRANGEBYSCORE', name, max, min]\n if start is not None and num is not None:\n pieces.extend([Token('LIMIT'), start, num])\n if withscores:\n pieces.append(Token('WITHSCORES'))\n options = {\n 'withscores': withscores,\n 'score_cast_func': score_cast_func\n }\n return self.execute_command(*pieces, **options)", "metadata": "root.StrictRedis.zrevrangebyscore", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1767 }, { "content": " def zrevrank(self, name, value):\n \"\"\"\n Returns a 0-based value indicating the descending rank of\n ``value`` in sorted set ``name``\n \"\"\"\n return self.execute_command('ZREVRANK', name, value)", "metadata": "root.StrictRedis.zrevrank", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1795 }, { "content": " def zscore(self, name, value):\n \"Return the score of element ``value`` in sorted set ``name``\"\n return self.execute_command('ZSCORE', name, value)", "metadata": "root.StrictRedis.zscore", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1802 }, { "content": " def zunionstore(self, dest, keys, aggregate=None):\n \"\"\"\n Union multiple sorted sets specified by ``keys`` into\n a new sorted set, ``dest``. Scores in the destination will be\n aggregated based on the ``aggregate``, or SUM if none is provided.\n \"\"\"\n return self._zaggregate('ZUNIONSTORE', dest, keys, aggregate)", "metadata": "root.StrictRedis.zunionstore", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1806 }, { "content": " def _zaggregate(self, command, dest, keys, aggregate=None):\n pieces = [command, dest, len(keys)]\n if isinstance(keys, dict):\n keys, weights = iterkeys(keys), itervalues(keys)\n else:\n weights = None\n pieces.extend(keys)\n if weights:\n pieces.append(Token('WEIGHTS'))\n pieces.extend(weights)\n if aggregate:\n pieces.append(Token('AGGREGATE'))\n pieces.append(aggregate)\n return self.execute_command(*pieces)", "metadata": "root.StrictRedis._zaggregate", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1814 }, { "content": " def pfadd(self, name, *values):\n \"Adds the specified elements to the specified HyperLogLog.\"\n return self.execute_command('PFADD', name, *values)", "metadata": "root.StrictRedis.pfadd", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1830 }, { "content": " def pfcount(self, *sources):\n \"\"\"\n Return the approximated cardinality of\n the set observed by the HyperLogLog at key(s).\n \"\"\"\n return self.execute_command('PFCOUNT', *sources)", "metadata": "root.StrictRedis.pfcount", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1834 }, { "content": " def pfmerge(self, dest, *sources):\n \"Merge N different HyperLogLogs into a single one.\"\n return self.execute_command('PFMERGE', dest, *sources)", "metadata": "root.StrictRedis.pfmerge", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1841 }, { "content": " def hdel(self, name, *keys):\n \"Delete ``keys`` from hash ``name``\"\n return self.execute_command('HDEL', name, *keys)", "metadata": "root.StrictRedis.hdel", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1846 }, { "content": " def hexists(self, name, key):\n \"Returns a boolean indicating if ``key`` exists within hash ``name``\"\n return self.execute_command('HEXISTS', name, key)", "metadata": "root.StrictRedis.hexists", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1850 }, { "content": " def hget(self, name, key):\n \"Return the value of ``key`` within the hash ``name``\"\n return self.execute_command('HGET', name, key)", "metadata": "root.StrictRedis.hget", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1854 }, { "content": " def hgetall(self, name):\n \"Return a Python dict of the hash's name/value pairs\"\n return self.execute_command('HGETALL', name)", "metadata": "root.StrictRedis.hgetall", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1858 }, { "content": " def hincrby(self, name, key, amount=1):\n \"Increment the value of ``key`` in hash ``name`` by ``amount``\"\n return self.execute_command('HINCRBY', name, key, amount)", "metadata": "root.StrictRedis.hincrby", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1862 }, { "content": " def hincrbyfloat(self, name, key, amount=1.0):\n \"\"\"\n Increment the value of ``key`` in hash ``name`` by floating ``amount``\n \"\"\"\n return self.execute_command('HINCRBYFLOAT', name, key, amount)", "metadata": "root.StrictRedis.hincrbyfloat", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1866 }, { "content": " def hkeys(self, name):\n \"Return the list of keys within hash ``name``\"\n return self.execute_command('HKEYS', name)", "metadata": "root.StrictRedis.hkeys", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1872 }, { "content": " def hlen(self, name):\n \"Return the number of elements in hash ``name``\"\n return self.execute_command('HLEN', name)", "metadata": "root.StrictRedis.hlen", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1876 }, { "content": " def hset(self, name, key, value):\n \"\"\"\n Set ``key`` to ``value`` within hash ``name``\n Returns 1 if HSET created a new field, otherwise 0\n \"\"\"\n return self.execute_command('HSET', name, key, value)", "metadata": "root.StrictRedis.hset", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1880 }, { "content": " def hsetnx(self, name, key, value):\n \"\"\"\n Set ``key`` to ``value`` within hash ``name`` if ``key`` does not\n exist. Returns 1 if HSETNX created a field, otherwise 0.\n \"\"\"\n return self.execute_command('HSETNX', name, key, value)", "metadata": "root.StrictRedis.hsetnx", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1887 }, { "content": " def hmset(self, name, mapping):\n \"\"\"\n Set key to value within hash ``name`` for each corresponding\n key and value from the ``mapping`` dict.\n \"\"\"\n if not mapping:\n raise DataError(\"'hmset' with 'mapping' of length 0\")\n items = []\n for pair in iteritems(mapping):\n items.extend(pair)\n return self.execute_command('HMSET', name, *items)", "metadata": "root.StrictRedis.hmset", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1894 }, { "content": " def hmget(self, name, keys, *args):\n \"Returns a list of values ordered identically to ``keys``\"\n args = list_or_args(keys, args)\n return self.execute_command('HMGET', name, *args)", "metadata": "root.StrictRedis.hmget", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1906 }, { "content": " def hvals(self, name):\n \"Return the list of values within hash ``name``\"\n return self.execute_command('HVALS', name)", "metadata": "root.StrictRedis.hvals", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1911 }, { "content": " def publish(self, channel, message):\n \"\"\"\n Publish ``message`` on ``channel``.\n Returns the number of subscribers the message was delivered to.\n \"\"\"\n return self.execute_command('PUBLISH', channel, message)", "metadata": "root.StrictRedis.publish", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1915 }, { "content": " def eval(self, script, numkeys, *keys_and_args):\n \"\"\"\n Execute the Lua ``script``, specifying the ``numkeys`` the script\n will touch and the key names and argument values in ``keys_and_args``.\n Returns the result of the script.\n\n In practice, use the object returned by ``register_script``. This\n function exists purely for Redis API completion.\n \"\"\"\n return self.execute_command('EVAL', script, numkeys, *keys_and_args)", "metadata": "root.StrictRedis.eval", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1922 }, { "content": " def evalsha(self, sha, numkeys, *keys_and_args):\n \"\"\"\n Use the ``sha`` to execute a Lua script already registered via EVAL\n or SCRIPT LOAD. Specify the ``numkeys`` the script will touch and the\n key names and argument values in ``keys_and_args``. Returns the result\n of the script.\n\n In practice, use the object returned by ``register_script``. This\n function exists purely for Redis API completion.\n \"\"\"\n return self.execute_command('EVALSHA', sha, numkeys, *keys_and_args)", "metadata": "root.StrictRedis.evalsha", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1933 }, { "content": " def script_exists(self, *args):\n \"\"\"\n Check if a script exists in the script cache by specifying the SHAs of\n each script as ``args``. Returns a list of boolean values indicating if\n if each already script exists in the cache.\n \"\"\"\n return self.execute_command('SCRIPT EXISTS', *args)", "metadata": "root.StrictRedis.script_exists", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1945 }, { "content": " def script_flush(self):\n \"Flush all scripts from the script cache\"\n return self.execute_command('SCRIPT FLUSH')", "metadata": "root.StrictRedis.script_flush", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1953 }, { "content": " def script_kill(self):\n \"Kill the currently executing Lua script\"\n return self.execute_command('SCRIPT KILL')", "metadata": "root.StrictRedis.script_kill", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1957 }, { "content": " def script_load(self, script):\n \"Load a Lua ``script`` into the script cache. Returns the SHA.\"\n return self.execute_command('SCRIPT LOAD', script)", "metadata": "root.StrictRedis.script_load", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1961 }, { "content": " def register_script(self, script):\n \"\"\"\n Register a Lua ``script`` specifying the ``keys`` it will touch.\n Returns a Script object that is callable and hides the complexity of\n deal with scripts, keys, and shas. This is the preferred way to work\n with Lua scripts.\n \"\"\"\n return Script(self, script)", "metadata": "root.StrictRedis.register_script", "header": "['class', 'StrictRedis', '(', 'object', ')', ':', '___EOS___']", "index": 1965 }, { "content": "class Redis(StrictRedis):\n \"\"\"\n Provides backwards compatibility with older versions of redis-py that\n changed arguments to some commands to be more Pythonic, sane, or by\n accident.\n \"\"\"\n\n # Overridden callbacks\n RESPONSE_CALLBACKS = dict_merge(\n StrictRedis.RESPONSE_CALLBACKS,\n {\n 'TTL': lambda r: r >= 0 and r or None,\n 'PTTL': lambda r: r >= 0 and r or None,\n }\n )\n\n\n\n", "metadata": "root.Redis", "header": "['module', '___EOS___']", "index": 1975 }, { "content": " def pipeline(self, transaction=True, shard_hint=None):\n \"\"\"\n Return a new pipeline object that can queue multiple commands for\n later execution. ``transaction`` indicates whether all commands\n should be executed atomically. Apart from making a group of operations\n atomic, pipelines are useful for reducing the back-and-forth overhead\n between the client and server.\n \"\"\"\n return Pipeline(\n self.connection_pool,\n self.response_callbacks,\n transaction,\n shard_hint)", "metadata": "root.Redis.pipeline", "header": "['class', 'Redis', '(', 'StrictRedis', ')', ':', '___EOS___']", "index": 1991 }, { "content": " def setex(self, name, value, time):\n \"\"\"\n Set the value of key ``name`` to ``value`` that expires in ``time``\n seconds. ``time`` can be represented by an integer or a Python\n timedelta object.\n \"\"\"\n if isinstance(time, datetime.timedelta):\n time = time.seconds + time.days * 24 * 3600\n return self.execute_command('SETEX', name, time, value)", "metadata": "root.Redis.setex", "header": "['class', 'Redis', '(', 'StrictRedis', ')', ':', '___EOS___']", "index": 2005 }, { "content": " def lrem(self, name, value, num=0):\n \"\"\"\n Remove the first ``num`` occurrences of elements equal to ``value``\n from the list stored at ``name``.\n\n The ``num`` argument influences the operation in the following ways:\n num > 0: Remove elements equal to value moving from head to tail.\n num < 0: Remove elements equal to value moving from tail to head.\n num = 0: Remove all elements equal to value.\n \"\"\"\n return self.execute_command('LREM', name, num, value)", "metadata": "root.Redis.lrem", "header": "['class', 'Redis', '(', 'StrictRedis', ')', ':', '___EOS___']", "index": 2015 }, { "content": " def zadd(self, name, *args, **kwargs):\n \"\"\"\n NOTE: The order of arguments differs from that of the official ZADD\n command. For backwards compatability, this method accepts arguments\n in the form of name1, score1, name2, score2, while the official Redis\n documents expects score1, name1, score2, name2.\n\n If you're looking to use the standard syntax, consider using the\n StrictRedis class. See the API Reference section of the docs for more\n information.\n\n Set any number of element-name, score pairs to the key ``name``. Pairs\n can be specified in two ways:\n\n As *args, in the form of: name1, score1, name2, score2, ...\n or as **kwargs, in the form of: name1=score1, name2=score2, ...\n\n The following example would add four values to the 'my-key' key:\n redis.zadd('my-key', 'name1', 1.1, 'name2', 2.2, name3=3.3, name4=4.4)\n \"\"\"\n pieces = []\n if args:\n if len(args) % 2 != 0:\n raise RedisError(\"ZADD requires an equal number of \"\n \"values and scores\")\n pieces.extend(reversed(args))\n for pair in iteritems(kwargs):\n pieces.append(pair[1])\n pieces.append(pair[0])\n return self.execute_command('ZADD', name, *pieces)", "metadata": "root.Redis.zadd", "header": "['class', 'Redis', '(', 'StrictRedis', ')', ':', '___EOS___']", "index": 2027 }, { "content": "class BasePipeline(object):\n \"\"\"\n Pipelines provide a way to transmit multiple commands to the Redis server\n in one transmission. This is convenient for batch processing, such as\n saving all the values in a list to Redis.\n\n All commands executed within a pipeline are wrapped with MULTI and EXEC\n calls. This guarantees all commands executed in the pipeline will be\n executed atomically.\n\n Any command raising an exception does *not* halt the execution of\n subsequent commands in the pipeline. Instead, the exception is caught\n and its instance is placed into the response list returned by execute().\n Code iterating over the response list should be able to deal with an\n instance of an exception as a potential value. In general, these will be\n ResponseError exceptions, such as those raised when issuing a command\n on a key of a different datatype.\n \"\"\"\n\n UNWATCH_COMMANDS = set(('DISCARD', 'EXEC', 'UNWATCH'))\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", "metadata": "root.BasePipeline", "header": "['module', '___EOS___']", "index": 2356 }, { "content": " def __init__(self, connection_pool, response_callbacks, transaction,\n shard_hint):\n self.connection_pool = connection_pool\n self.connection = None\n self.response_callbacks = response_callbacks\n self.transaction = transaction\n self.shard_hint = shard_hint\n\n self.watching = False\n self.reset()", "metadata": "root.BasePipeline.__init__", "header": "['class', 'BasePipeline', '(', 'object', ')', ':', '___EOS___']", "index": 2377 }, { "content": " def __enter__(self):\n return self", "metadata": "root.BasePipeline.__enter__", "header": "['class', 'BasePipeline', '(', 'object', ')', ':', '___EOS___']", "index": 2388 }, { "content": " def __exit__(self, exc_type, exc_value, traceback):\n self.reset()", "metadata": "root.BasePipeline.__exit__", "header": "['class', 'BasePipeline', '(', 'object', ')', ':', '___EOS___']", "index": 2391 }, { "content": " def __del__(self):\n try:\n self.reset()\n except Exception:\n pass", "metadata": "root.BasePipeline.__del__", "header": "['class', 'BasePipeline', '(', 'object', ')', ':', '___EOS___']", "index": 2394 }, { "content": " def __len__(self):\n return len(self.command_stack)", "metadata": "root.BasePipeline.__len__", "header": "['class', 'BasePipeline', '(', 'object', ')', ':', '___EOS___']", "index": 2400 }, { "content": " def reset(self):\n self.command_stack = []\n self.scripts = set()\n # make sure to reset the connection state in the event that we were\n # watching something\n if self.watching and self.connection:\n try:\n # call this manually since our unwatch or\n # immediate_execute_command methods can call reset()\n self.connection.send_command('UNWATCH')\n self.connection.read_response()\n except ConnectionError:\n # disconnect will also remove any previous WATCHes\n self.connection.disconnect()\n # clean up the other instance attributes\n self.watching = False\n self.explicit_transaction = False\n # we can safely return the connection to the pool here since we're\n # sure we're no longer WATCHing anything\n if self.connection:\n self.connection_pool.release(self.connection)\n self.connection = None", "metadata": "root.BasePipeline.reset", "header": "['class', 'BasePipeline', '(', 'object', ')', ':', '___EOS___']", "index": 2403 }, { "content": " def multi(self):\n \"\"\"\n Start a transactional block of the pipeline after WATCH commands\n are issued. End the transactional block with `execute`.\n \"\"\"\n if self.explicit_transaction:\n raise RedisError('Cannot issue nested calls to MULTI')\n if self.command_stack:\n raise RedisError('Commands without an initial WATCH have already '\n 'been issued')\n self.explicit_transaction = True", "metadata": "root.BasePipeline.multi", "header": "['class', 'BasePipeline', '(', 'object', ')', ':', '___EOS___']", "index": 2426 }, { "content": " def execute_command(self, *args, **kwargs):\n if (self.watching or args[0] == 'WATCH') and \\\n not self.explicit_transaction:\n return self.immediate_execute_command(*args, **kwargs)\n return self.pipeline_execute_command(*args, **kwargs)", "metadata": "root.BasePipeline.execute_command", "header": "['class', 'BasePipeline', '(', 'object', ')', ':', '___EOS___']", "index": 2438 }, { "content": " def immediate_execute_command(self, *args, **options):\n \"\"\"\n Execute a command immediately, but don't auto-retry on a\n ConnectionError if we're already WATCHing a variable. Used when\n issuing WATCH or subsequent commands retrieving their values but before\n MULTI is called.\n \"\"\"\n command_name = args[0]\n conn = self.connection\n # if this is the first call, we need a connection\n if not conn:\n conn = self.connection_pool.get_connection(command_name,\n self.shard_hint)\n self.connection = conn\n try:\n conn.send_command(*args)\n return self.parse_response(conn, command_name, **options)\n except (ConnectionError, TimeoutError) as e:\n conn.disconnect()\n if not conn.retry_on_timeout and isinstance(e, TimeoutError):\n raise\n # if we're not already watching, we can safely retry the command\n try:\n if not self.watching:\n conn.send_command(*args)\n return self.parse_response(conn, command_name, **options)\n except ConnectionError:\n # the retry failed so cleanup.\n conn.disconnect()\n self.reset()\n raise", "metadata": "root.BasePipeline.immediate_execute_command", "header": "['class', 'BasePipeline', '(', 'object', ')', ':', '___EOS___']", "index": 2444 }, { "content": " def pipeline_execute_command(self, *args, **options):\n \"\"\"\n Stage a command to be executed when execute() is next called\n\n Returns the current Pipeline object back so commands can be\n chained together, such as:\n\n pipe = pipe.set('foo', 'bar').incr('baz').decr('bang')\n\n At some other point, you can then run: pipe.execute(),\n which will execute all commands queued in the pipe.\n \"\"\"\n self.command_stack.append((args, options))\n return self", "metadata": "root.BasePipeline.pipeline_execute_command", "header": "['class', 'BasePipeline', '(', 'object', ')', ':', '___EOS___']", "index": 2476 }, { "content": " def _execute_transaction(self, connection, commands, raise_on_error):\n cmds = chain([(('MULTI', ), {})], commands, [(('EXEC', ), {})])\n all_cmds = connection.pack_commands([args for args, _ in cmds])\n connection.send_packed_command(all_cmds)\n errors = []\n\n # parse off the response for MULTI\n # NOTE: we need to handle ResponseErrors here and continue\n # so that we read all the additional command messages from\n # the socket\n try:\n self.parse_response(connection, '_')\n except ResponseError:\n errors.append((0, sys.exc_info()[1]))\n\n # and all the other commands\n for i, command in enumerate(commands):\n try:\n self.parse_response(connection, '_')\n except ResponseError:\n ex = sys.exc_info()[1]\n self.annotate_exception(ex, i + 1, command[0])\n errors.append((i, ex))\n\n # parse the EXEC.\n try:\n response = self.parse_response(connection, '_')\n except ExecAbortError:\n if self.explicit_transaction:\n self.immediate_execute_command('DISCARD')\n if errors:\n raise errors[0][1]\n raise sys.exc_info()[1]\n\n if response is None:\n raise WatchError(\"Watched variable changed.\")\n\n # put any parse errors into the response\n for i, e in errors:\n response.insert(i, e)\n\n if len(response) != len(commands):\n self.connection.disconnect()\n raise ResponseError(\"Wrong number of response items from \"\n \"pipeline execution\")\n\n # find any errors in the response and raise if necessary\n if raise_on_error:\n self.raise_first_error(commands, response)\n\n # We have to run response callbacks manually\n data = []\n for r, cmd in izip(response, commands):\n if not isinstance(r, Exception):\n args, options = cmd\n command_name = args[0]\n if command_name in self.response_callbacks:\n r = self.response_callbacks[command_name](r, **options)\n data.append(r)\n return data", "metadata": "root.BasePipeline._execute_transaction", "header": "['class', 'BasePipeline', '(', 'object', ')', ':', '___EOS___']", "index": 2491 }, { "content": " def _execute_pipeline(self, connection, commands, raise_on_error):\n # build up all commands into a single request to increase network perf\n all_cmds = connection.pack_commands([args for args, _ in commands])\n connection.send_packed_command(all_cmds)\n\n response = []\n for args, options in commands:\n try:\n response.append(\n self.parse_response(connection, args[0], **options))\n except ResponseError:\n response.append(sys.exc_info()[1])\n\n if raise_on_error:\n self.raise_first_error(commands, response)\n return response", "metadata": "root.BasePipeline._execute_pipeline", "header": "['class', 'BasePipeline', '(', 'object', ')', ':', '___EOS___']", "index": 2552 }, { "content": " def raise_first_error(self, commands, response):\n for i, r in enumerate(response):\n if isinstance(r, ResponseError):\n self.annotate_exception(r, i + 1, commands[i][0])\n raise r", "metadata": "root.BasePipeline.raise_first_error", "header": "['class', 'BasePipeline', '(', 'object', ')', ':', '___EOS___']", "index": 2569 }, { "content": " def annotate_exception(self, exception, number, command):\n cmd = safe_unicode(' ').join(imap(safe_unicode, command))\n msg = unicode('Command # %d (%s) of pipeline caused error: %s') % (\n number, cmd, safe_unicode(exception.args[0]))\n exception.args = (msg,) + exception.args[1:]", "metadata": "root.BasePipeline.annotate_exception", "header": "['class', 'BasePipeline', '(', 'object', ')', ':', '___EOS___']", "index": 2575 }, { "content": " def parse_response(self, connection, command_name, **options):\n result = StrictRedis.parse_response(\n self, connection, command_name, **options)\n if command_name in self.UNWATCH_COMMANDS:\n self.watching = False\n elif command_name == 'WATCH':\n self.watching = True\n return result", "metadata": "root.BasePipeline.parse_response", "header": "['class', 'BasePipeline', '(', 'object', ')', ':', '___EOS___']", "index": 2581 }, { "content": " def load_scripts(self):\n # make sure all scripts that are about to be run on this pipeline exist\n scripts = list(self.scripts)\n immediate = self.immediate_execute_command\n shas = [s.sha for s in scripts]\n # we can't use the normal script_* methods because they would just\n # get buffered in the pipeline.\n exists = immediate('SCRIPT', 'EXISTS', *shas, **{'parse': 'EXISTS'})\n if not all(exists):\n for s, exist in izip(scripts, exists):\n if not exist:\n s.sha = immediate('SCRIPT', 'LOAD', s.script,\n **{'parse': 'LOAD'})", "metadata": "root.BasePipeline.load_scripts", "header": "['class', 'BasePipeline', '(', 'object', ')', ':', '___EOS___']", "index": 2590 }, { "content": " def execute(self, raise_on_error=True):\n \"Execute all the commands in the current pipeline\"\n stack = self.command_stack\n if not stack:\n return []\n if self.scripts:\n self.load_scripts()\n if self.transaction or self.explicit_transaction:\n execute = self._execute_transaction\n else:\n execute = self._execute_pipeline\n\n conn = self.connection\n if not conn:\n conn = self.connection_pool.get_connection('MULTI',\n self.shard_hint)\n # assign to self.connection so reset() releases the connection\n # back to the pool after we're done\n self.connection = conn\n\n try:\n return execute(conn, stack, raise_on_error)\n except (ConnectionError, TimeoutError) as e:\n conn.disconnect()\n if not conn.retry_on_timeout and isinstance(e, TimeoutError):\n raise\n # if we were watching a variable, the watch is no longer valid\n # since this connection has died. raise a WatchError, which\n # indicates the user should retry his transaction. If this is more\n # than a temporary failure, the WATCH that the user next issues\n # will fail, propegating the real ConnectionError\n if self.watching:\n raise WatchError(\"A ConnectionError occured on while watching \"\n \"one or more keys\")\n # otherwise, it's safe to retry since the transaction isn't\n # predicated on any state\n return execute(conn, stack, raise_on_error)\n finally:\n self.reset()", "metadata": "root.BasePipeline.execute", "header": "['class', 'BasePipeline', '(', 'object', ')', ':', '___EOS___']", "index": 2604 }, { "content": " def watch(self, *names):\n \"Watches the values at keys ``names``\"\n if self.explicit_transaction:\n raise RedisError('Cannot issue a WATCH after a MULTI')\n return self.execute_command('WATCH', *names)", "metadata": "root.BasePipeline.watch", "header": "['class', 'BasePipeline', '(', 'object', ')', ':', '___EOS___']", "index": 2644 }, { "content": " def unwatch(self):\n \"Unwatches all previously specified keys\"\n return self.watching and self.execute_command('UNWATCH') or True", "metadata": "root.BasePipeline.unwatch", "header": "['class', 'BasePipeline', '(', 'object', ')', ':', '___EOS___']", "index": 2650 }, { "content": " def script_load_for_pipeline(self, script):\n \"Make sure scripts are loaded prior to pipeline execution\"\n # we need the sha now so that Script.__call__ can use it to run\n # evalsha.\n if not script.sha:\n script.sha = self.immediate_execute_command('SCRIPT', 'LOAD',\n script.script,\n **{'parse': 'LOAD'})\n self.scripts.add(script)", "metadata": "root.BasePipeline.script_load_for_pipeline", "header": "['class', 'BasePipeline', '(', 'object', ')', ':', '___EOS___']", "index": 2654 }, { "content": "class StrictPipeline(BasePipeline, StrictRedis):\n \"Pipeline for the StrictRedis class\"\n pass", "metadata": "root.StrictPipeline", "header": "['module', '___EOS___']", "index": 2665 }, { "content": "class Pipeline(BasePipeline, Redis):\n \"Pipeline for the Redis class\"\n pass", "metadata": "root.Pipeline", "header": "['module', '___EOS___']", "index": 2670 } ]

[ { "span": "class StrictPipeline(BasePipeline, StrictRedis):", "start_line": 2665, "start_column": 0, "end_line": 2665, "end_column": 48 }, { "span": "class Pipeline(BasePipeline, Redis):", "start_line": 2670, "start_column": 0, "end_line": 2670, "end_column": 36 } ]

[ { "span": "def execute_command(self, *args, **options):", "start_line": 565, "start_column": 4, "end_line": 565, "end_column": 48 }, { "span": "def parse_response(self, connection, command_name, **options):", "start_line": 582, "start_column": 4, "end_line": 582, "end_column": 66 }, { "span": "def watch(self, *names):", "start_line": 1130, "start_column": 4, "end_line": 1130, "end_column": 28 }, { "span": "def unwatch(self):", "start_line": 1136, "start_column": 4, "end_line": 1136, "end_column": 22 }, { "span": "def execute_command(self, *args, **kwargs):", "start_line": 2438, "start_column": 4, "end_line": 2438, "end_column": 47 }, { "span": "def parse_response(self, connection, command_name, **options):", "start_line": 2581, "start_column": 4, "end_line": 2581, "end_column": 66 }, { "span": "def watch(self, *names):", "start_line": 2644, "start_column": 4, "end_line": 2644, "end_column": 28 }, { "span": "def unwatch(self):", "start_line": 2650, "start_column": 4, "end_line": 2650, "end_column": 22 } ]

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2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 2, 2, 2, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 2, 2, 2, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2 ]

[ { "content": "\nfrom unittest import TestCase\nimport time\n\nimport numpy as np\n\nfrom openmdao.lib.drivers.iterate import FixedPointIterator\nfrom openmdao.lib.drivers.newton_solver import NewtonSolver\nfrom openmdao.lib.optproblems import sellar\n\nfrom openmdao.main.api import Assembly, Component, set_as_top, Driver\nfrom openmdao.main.datatypes.api import Float, Array, Str, List\nfrom openmdao.main.interfaces import implements, ISolver\nfrom openmdao.main.mpiwrap import MPI, MPIContext\nfrom openmdao.main.test.simpledriver import SimpleDriver\nfrom openmdao.test.execcomp import ExecComp\nfrom openmdao.test.mpiunittest import MPITestCase\nfrom openmdao.util.testutil import assert_rel_error\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nif __name__ == '__main__':\n from openmdao.test.mpiunittest import mpirun_tests\n mpirun_tests()\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class NoDerivSimpleDriver(SimpleDriver):", "metadata": "root.NoDerivSimpleDriver", "header": "['module', '___EOS___']", "index": 20 }, { "content": " def requires_derivs(self):\n return False", "metadata": "root.NoDerivSimpleDriver.requires_derivs", "header": "['class', 'NoDerivSimpleDriver', '(', 'SimpleDriver', ')', ':', '___EOS___']", "index": 21 }, { "content": "class NoDerivSimpleDriverSetter(NoDerivSimpleDriver):\n", "metadata": "root.NoDerivSimpleDriverSetter", "header": "['module', '___EOS___']", "index": 24 }, { "content": " def __init__(self, *args, **kwargs):\n super(NoDerivSimpleDriverSetter, self).__init__(*args, **kwargs)\n self.vals = []", "metadata": "root.NoDerivSimpleDriverSetter.__init__", "header": "['class', 'NoDerivSimpleDriverSetter', '(', 'NoDerivSimpleDriver', ')', ':', '___EOS___']", "index": 25 }, { "content": " def execute(self):\n self.set_parameters(self.vals)\n self.run_iteration()", "metadata": "root.NoDerivSimpleDriverSetter.execute", "header": "['class', 'NoDerivSimpleDriverSetter', '(', 'NoDerivSimpleDriver', ')', ':', '___EOS___']", "index": 29 }, { "content": "class ABCDArrayComp(Component):\n delay = Float(0.01, iotype='in')\n in_string = Str(iotype='in')\n out_string = Str(iotype='out')\n in_list = List(iotype='in')\n out_list = List(iotype='out')\n\n\n", "metadata": "root.ABCDArrayComp", "header": "['module', '___EOS___']", "index": 34 }, { "content": " def __init__(self, arr_size=9):\n super(ABCDArrayComp, self).__init__()\n self.add_trait('a', Array(np.ones(arr_size, float), iotype='in'))\n self.add_trait('b', Array(np.ones(arr_size, float), iotype='in'))\n self.add_trait('c', Array(np.ones(arr_size, float), iotype='out'))\n self.add_trait('d', Array(np.ones(arr_size, float), iotype='out'))", "metadata": "root.ABCDArrayComp.__init__", "header": "['class', 'ABCDArrayComp', '(', 'Component', ')', ':', '___EOS___']", "index": 41 }, { "content": " def execute(self):\n time.sleep(self.delay)\n self.c = self.a + self.b\n self.d = self.a - self.b\n self.out_string = self.in_string + '_' + self.name\n self.out_list = self.in_list[:]+[1.5]", "metadata": "root.ABCDArrayComp.execute", "header": "['class', 'ABCDArrayComp', '(', 'Component', ')', ':', '___EOS___']", "index": 48 }, { "content": " def dump(self, comm):\n print \"%d: %s.a = %s\" % (comm.rank, self.name, self.a)\n print \"%d: %s.b = %s\" % (comm.rank, self.name, self.b)\n print \"%d: %s.c = %s\" % (comm.rank, self.name, self.c)\n print \"%d: %s.d = %s\" % (comm.rank, self.name, self.d)", "metadata": "root.ABCDArrayComp.dump", "header": "['class', 'ABCDArrayComp', '(', 'Component', ')', ':', '___EOS___']", "index": 55 }, { "content": "class SellarMDF(Assembly):\n \"\"\" Optimization of the Sellar problem using MDF\n Disciplines coupled with FixedPointIterator.\n \"\"\"", "metadata": "root.SellarMDF", "header": "['module', '___EOS___']", "index": 61 }, { "content": " def configure(self):\n \"\"\" Creates a new Assembly with this problem\n\n Optimal Design at (1.9776, 0, 0)\n\n Optimal Objective = 3.18339\n \"\"\"\n\n self.add('driver', FixedPointIterator())\n\n # Inner Loop - Full Multidisciplinary Solve via fixed point iteration\n C1 = self.add('C1', sellar.Discipline1())\n C2 = self.add('C2', sellar.Discipline2())\n\n self.driver.workflow.add(['C1','C2'])\n\n #not relevant to the iteration. Just fixed constants\n C1.z1 = C2.z1 = 1.9776\n C1.z2 = C2.z2 = 0\n C1.x1 = 0\n\n # Solver settings\n self.driver.max_iteration = 5\n self.driver.tolerance = 1.e-15\n self.driver.print_convergence = False", "metadata": "root.SellarMDF.configure", "header": "['class', 'SellarMDF', '(', 'Assembly', ')', ':', '___EOS___']", "index": 65 }, { "content": "class SellarMDFwithDerivs(Assembly):\n \"\"\" Optimization of the Sellar problem using MDF\n Disciplines coupled with FixedPointIterator.\n \"\"\"", "metadata": "root.SellarMDFwithDerivs", "header": "['module', '___EOS___']", "index": 91 }, { "content": " def configure(self):\n \"\"\" Creates a new Assembly with this problem\n\n Optimal Design at (1.9776, 0, 0)\n\n Optimal Objective = 3.18339\n \"\"\"\n\n self.add('driver', FixedPointIterator())\n\n # Inner Loop - Full Multidisciplinary Solve via fixed point iteration\n C1 = self.add('C1', sellar.Discipline1_WithDerivatives())\n C2 = self.add('C2', sellar.Discipline2_WithDerivatives())\n\n self.driver.workflow.add(['C1','C2'])\n\n #not relevant to the iteration. Just fixed constants\n C1.z1 = C2.z1 = 1.9776\n C1.z2 = C2.z2 = 0\n C1.x1 = 0\n\n # Solver settings\n self.driver.max_iteration = 5\n self.driver.tolerance = 1.e-15\n self.driver.print_convergence = False", "metadata": "root.SellarMDFwithDerivs.configure", "header": "['class', 'SellarMDFwithDerivs', '(', 'Assembly', ')', ':', '___EOS___']", "index": 95 }, { "content": "class MPITests1(MPITestCase):\n\n N_PROCS = 2\n\n\n\n\n\n\n\n\n\n\n\n", "metadata": "root.MPITests1", "header": "['module', '___EOS___']", "index": 122 }, { "content": " def test_sellar_params1(self):\n top = set_as_top(SellarMDF())\n\n top.connect('C1.y1','C2.y1')\n\n top.driver.add_parameter('C1.y2', low=-1.e99, high=1.e99)\n top.driver.add_constraint('C1.y2 = C2.y2')\n\n expected = { 'C1.y1': 3.160068, 'C2.y2': 3.755315 }\n\n top.run()\n\n if self.comm.rank == 0:\n for name, expval in expected.items():\n val = top.get(name)\n assert_rel_error(self, val, expval, 0.001)", "metadata": "root.MPITests1.test_sellar_params1", "header": "['class', 'MPITests1', '(', 'MPITestCase', ')', ':', '___EOS___']", "index": 126 }, { "content": " def test_sellar_params2(self):\n top = set_as_top(SellarMDF())\n\n top.connect('C1.y1','C2.y1')\n\n top.driver.add_parameter('C1.y2', low=-1.e99, high=1.e99)\n top.driver.add_constraint('C2.y2 = C1.y2')\n\n expected = { 'C1.y1': 3.160068, 'C2.y2': 3.755315 }\n\n top.run()\n\n if self.comm.rank == 0:\n for name, expval in expected.items():\n val = top.get(name)\n assert_rel_error(self, val, expval, 0.001)", "metadata": "root.MPITests1.test_sellar_params2", "header": "['class', 'MPITests1', '(', 'MPITestCase', ')', ':', '___EOS___']", "index": 143 }, { "content": " def test_simple_opaque(self):\n size = 5\n\n # 2 parallel comps feeding another comp\n top = set_as_top(Assembly())\n top.add('driver', SimpleDriver())\n top.add(\"C1\", ABCDArrayComp(size))\n top.add(\"C2\", ABCDArrayComp(size))\n top.driver.workflow.add(['C1', 'C2'])\n top.connect('C1.c', 'C2.a')\n\n top.C1.a = np.ones(size, float) * 3.0\n top.C1.b = np.ones(size, float) * 7.0\n top.C2.b = np.ones(size, float) * 5.0\n\n top.run()\n\n if self.comm.rank == 0:\n self.assertTrue(all(top.C2.a==np.ones(size, float)*10.))\n self.assertTrue(all(top.C2.b==np.ones(size, float)*5.))\n self.assertTrue(all(top.C2.c==np.ones(size, float)*15.))\n self.assertTrue(all(top.C2.d==np.ones(size, float)*5.))", "metadata": "root.MPITests1.test_simple_opaque", "header": "['class', 'MPITests1', '(', 'MPITestCase', ')', ':', '___EOS___']", "index": 160 }, { "content": " def test_fan_in(self):\n size = 5\n\n # 2 parallel comps feeding another comp\n top = set_as_top(Assembly())\n top.add(\"C1\", ABCDArrayComp(size))\n top.add(\"C2\", ABCDArrayComp(size))\n top.add(\"C3\", ABCDArrayComp(size))\n top.driver.workflow.add(['C1', 'C2', 'C3'])\n top.connect('C1.c', 'C3.a')\n top.connect('C2.d', 'C3.b')\n\n top.C1.a = np.ones(size, float) * 3.0\n top.C1.b = np.ones(size, float) * 7.0\n top.C2.a = np.ones(size, float) * 4.0\n top.C2.b = np.ones(size, float) * 5.0\n\n top.run()\n\n self.assertTrue(all(top.C3.a==np.ones(size, float)*10.))\n self.assertTrue(all(top.C3.b==np.ones(size, float)*-1.))\n self.assertTrue(all(top.C3.c==np.ones(size, float)*9.))\n self.assertTrue(all(top.C3.d==np.ones(size, float)*11.))", "metadata": "root.MPITests1.test_fan_in", "header": "['class', 'MPITests1', '(', 'MPITestCase', ')', ':', '___EOS___']", "index": 183 }, { "content": " def test_fan_in_simpledriver(self):\n size = 5\n\n # 2 parallel comps feeding another comp\n top = set_as_top(Assembly())\n top.add('driver', SimpleDriver())\n\n top.add(\"C1\", ABCDArrayComp(size))\n top.add(\"C2\", ABCDArrayComp(size))\n top.add(\"C3\", ABCDArrayComp(size))\n top.driver.workflow.add(['C1', 'C2', 'C3'])\n top.connect('C1.c', 'C3.a')\n top.connect('C2.d', 'C3.b')\n\n top.C1.a = np.ones(size, float) * 3.0\n top.C1.b = np.ones(size, float) * 7.0\n top.C2.a = np.ones(size, float) * 4.0\n top.C2.b = np.ones(size, float) * 5.0\n\n top.driver.add_parameter('C1.a', low=-1000, high=1000)\n top.driver.add_parameter('C2.a', low=-1000, high=1000)\n top.driver.add_objective('C3.d')\n\n top.run()\n\n # top.C1.dump(self.comm)\n # top.C2.dump(self.comm)\n\n if self.comm.rank == 0:\n self.assertTrue(all(top.C3.a==np.ones(size, float)*10.))\n self.assertTrue(all(top.C3.b==np.ones(size, float)*-1.))\n self.assertTrue(all(top.C3.c==np.ones(size, float)*9.))\n self.assertTrue(all(top.C3.d==np.ones(size, float)*11.))", "metadata": "root.MPITests1.test_fan_in_simpledriver", "header": "['class', 'MPITests1', '(', 'MPITestCase', ')', ':', '___EOS___']", "index": 207 }, { "content": " def test_fan_in_simpledriver_noderiv(self):\n size = 5\n\n # 2 parallel comps feeding another comp\n top = set_as_top(Assembly())\n top.add('driver', NoDerivSimpleDriver())\n\n top.add(\"C1\", ABCDArrayComp(size))\n top.add(\"C2\", ABCDArrayComp(size))\n top.add(\"C3\", ABCDArrayComp(size))\n top.driver.workflow.add(['C1', 'C2', 'C3'])\n top.connect('C1.c', 'C3.a')\n top.connect('C2.d', 'C3.b')\n\n top.C1.a = np.ones(size, float) * 3.0\n top.C1.b = np.ones(size, float) * 7.0\n top.C2.a = np.ones(size, float) * 4.0\n top.C2.b = np.ones(size, float) * 5.0\n\n top.driver.add_parameter('C1.a', low=-1000, high=1000)\n top.driver.add_parameter('C2.a', low=-1000, high=1000)\n top.driver.add_objective('C3.d')\n\n top.run()\n\n self.assertTrue(all(top.C3.a==np.ones(size, float)*10.))\n self.assertTrue(all(top.C3.b==np.ones(size, float)*-1.))\n self.assertTrue(all(top.C3.c==np.ones(size, float)*9.))\n self.assertTrue(all(top.C3.d==np.ones(size, float)*11.))", "metadata": "root.MPITests1.test_fan_in_simpledriver_noderiv", "header": "['class', 'MPITests1', '(', 'MPITestCase', ')', ':', '___EOS___']", "index": 241 }, { "content": " def test_fan_in_simpledriver_setting_params(self):\n size = 5\n\n # 2 parallel comps feeding another comp\n top = set_as_top(Assembly())\n top.add('driver', NoDerivSimpleDriverSetter())\n\n top.add(\"C1\", ABCDArrayComp(size))\n top.add(\"C2\", ABCDArrayComp(size))\n top.add(\"C3\", ABCDArrayComp(size))\n top.driver.workflow.add(['C1', 'C2', 'C3'])\n top.connect('C1.c', 'C3.a')\n top.connect('C2.d', 'C3.b')\n\n top.C1.a = np.ones(size, float) * 3.0\n top.C1.b = np.ones(size, float) * 7.0\n top.C2.a = np.ones(size, float) * 4.0\n top.C2.b = np.ones(size, float) * 5.0\n\n top.driver.add_parameter('C1.a', low=-1000, high=1000)\n top.driver.add_parameter('C2.a', low=-1000, high=1000)\n top.driver.add_objective('C3.d')\n top.driver.vals = [-1.,-1.,-1.,-1.,-1,9.,9.,9.,9.,9.]\n\n top.run()\n\n #if self.comm.rank == 0:\n # from openmdao.util.dotgraph import plot_graph, plot_graphs, plot_system_tree\n # plot_graphs(top, prefix=\"works\")\n\n self.assertTrue(all(top.C3.a==np.ones(size, float)*6.))\n self.assertTrue(all(top.C3.b==np.ones(size, float)*4.))\n self.assertTrue(all(top.C3.c==np.ones(size, float)*10.))\n self.assertTrue(all(top.C3.d==np.ones(size, float)*2.))", "metadata": "root.MPITests1.test_fan_in_simpledriver_setting_params", "header": "['class', 'MPITests1', '(', 'MPITestCase', ')', ':', '___EOS___']", "index": 271 }, { "content": " def test_fan_out_in(self):\n size = 5 # array var size\n\n # a comp feeds two parallel comps which feed\n # another comp\n top = set_as_top(Assembly())\n top.add(\"C1\", ABCDArrayComp(size))\n top.add(\"C2\", ABCDArrayComp(size))\n top.add(\"C3\", ABCDArrayComp(size))\n top.add(\"C4\", ABCDArrayComp(size))\n top.driver.workflow.add(['C1', 'C2', 'C3', 'C4'])\n top.connect('C1.c', 'C2.a')\n top.connect('C1.d', 'C3.b')\n top.connect('C2.c', 'C4.a')\n top.connect('C3.d', 'C4.b')\n\n top.C1.a = np.ones(size, float) * 3.0\n top.C1.b = np.ones(size, float) * 7.0\n\n top.run()\n\n with MPIContext():\n self.assertTrue(all(top.C4.a==np.ones(size, float)*11.))\n self.assertTrue(all(top.C4.b==np.ones(size, float)*5.))\n\n # Piggyback testing of the is_variable_local function.\n system = top.driver.workflow._system\n\n # Only lowest rank has vars that are on all proceses\n if self.comm.rank == 0:\n self.assertTrue(system.is_variable_local('C1.c'))\n self.assertTrue(system.is_variable_local('C2.a'))\n self.assertTrue(system.is_variable_local('C3.b'))\n self.assertTrue(system.is_variable_local('C1.exec_count'))\n else:\n self.assertFalse(system.is_variable_local('C1.c'))\n self.assertFalse(system.is_variable_local('C2.a'))\n self.assertFalse(system.is_variable_local('C3.b'))\n self.assertFalse(system.is_variable_local('C1.exec_count'))\n\n # Exclusive or - you either got C2 or C3 on a given process.\n self.assertTrue(system.is_variable_local('C2.c') != system.is_variable_local('C3.d'))\n self.assertTrue(system.is_variable_local('C4.a') != system.is_variable_local('C4.b'))", "metadata": "root.MPITests1.test_fan_out_in", "header": "['class', 'MPITests1', '(', 'MPITestCase', ')', ':', '___EOS___']", "index": 307 }, { "content": " def test_fan_out_in_force_serial(self):\n size = 5 # array var size\n\n top = set_as_top(Assembly())\n top.add(\"C1\", ABCDArrayComp(size))\n top.add(\"C2\", ABCDArrayComp(size))\n top.add(\"C3\", ABCDArrayComp(size))\n top.add(\"C4\", ABCDArrayComp(size))\n top.driver.workflow.add(['C1', 'C2', 'C3', 'C4'])\n top.connect('C1.c', 'C2.a')\n top.connect('C1.d', 'C3.b')\n top.connect('C2.c', 'C4.a')\n top.connect('C3.d', 'C4.b')\n\n top.C1.a = np.ones(size, float) * 3.0\n top.C1.b = np.ones(size, float) * 7.0\n\n top.driver.system_type = 'serial'\n\n top.run()\n\n if self.comm.rank == 0:\n self.assertTrue(all(top.C4.a==np.ones(size, float)*11.))\n self.assertTrue(all(top.C4.b==np.ones(size, float)*5.))", "metadata": "root.MPITests1.test_fan_out_in_force_serial", "header": "['class', 'MPITests1', '(', 'MPITestCase', ')', ':', '___EOS___']", "index": 352 }, { "content": " def test_serial_under_par(self):\n\n class MyDriver(SimpleDriver):\n\n implements(ISolver)\n\n def execute(self):\n # Direct uvec setting\n uvec = self._system.vec['u']\n #print uvec.keys()\n # Only can interact with the var that is in our node\n for num in [1.0, 2.0, 3.0]:\n if 'comp1.x' in uvec:\n uvec['comp1.x'] = num\n #print \"SETTING\", 'comp1.x', uvec['comp1.x']\n if 'comp2.x' in uvec:\n uvec['comp2.x'] = num\n #print \"SETTING\", 'comp2.x', uvec['comp2.x']\n\n self.run_iteration()\n\n def requires_derivs(self):\n return False\n\n top = set_as_top(Assembly())\n top.add('driver', MyDriver())\n top.add('comp1', ExecComp(['y = 2.0*x']))\n top.add('comp2', ExecComp(['y = 1.0*x']))\n top.driver.workflow.add(['comp1', 'comp2'])\n top.driver.add_parameter('comp1.x', low=-100, high=100)\n top.driver.add_parameter('comp2.x', low=-100, high=100)\n top.driver.add_constraint('comp1.y = comp2.x')\n top.driver.add_constraint('comp2.y = comp1.x')\n\n top.run()\n\n self.assertTrue(top.comp1.x==3.0)\n self.assertTrue(top.comp2.x==3.0)", "metadata": "root.MPITests1.test_serial_under_par", "header": "['class', 'MPITests1', '(', 'MPITestCase', ')', ':', '___EOS___']", "index": 377 }, { "content": "class MPITests2(MPITestCase):\n\n N_PROCS = 2\n\n\n", "metadata": "root.MPITests2", "header": "['module', '___EOS___']", "index": 417 }, { "content": " def test_sellar_cyclic(self):\n\n top = set_as_top(SellarMDF())\n\n top.connect('C1.y1','C2.y1')\n top.connect('C2.y2', 'C1.y2')\n\n expected = { 'C1.y1': 3.160068, 'C2.y2': 3.755315 }\n\n top.run()\n\n if self.comm.rank == 0:\n for name, expval in expected.items():\n val = top.get(name)\n assert_rel_error(self, val, expval, 0.001)", "metadata": "root.MPITests2.test_sellar_cyclic", "header": "['class', 'MPITests2', '(', 'MPITestCase', ')', ':', '___EOS___']", "index": 421 }, { "content": " def test_sellar_parallel(self):\n\n top = set_as_top(SellarMDF())\n\n top.driver.max_iteration = 25\n top.driver.add_parameter('C2.y1', low=-1e99, high=1e99)\n top.driver.add_constraint('C1.y1 = C2.y1')\n top.driver.add_parameter('C1.y2', low=-1.e99, high=1.e99)\n top.driver.add_constraint('C2.y2 = C1.y2')\n\n expected = { 'C1.y1': 3.1598617768014536, 'C2.y2': 3.7551999159927316 }\n\n top.run()\n\n # gather the values back to the rank 0 process and compare to expected\n dist_answers = top._system.mpi.comm.gather([(k[0],v) for k,v in top._system.vec['u'].items()],\n root=0)\n if self.comm.rank == 0:\n for answers in dist_answers:\n for name, val in answers:\n if name in expected:\n #print self.comm.rank, name, val[0]\n assert_rel_error(self, val[0], expected[name], 0.001)\n del expected[name]\n\n if expected:\n self.fail(\"expected values %s were not found\" % expected.keys())\n\n # Piggyback testing of the is_variable_local function.\n system = top.driver.workflow._system\n\n # Only lowest rank has vars that are on all proceses\n if self.comm.rank == 0:\n self.assertTrue(system.is_variable_local('_pseudo_0.out0'))\n\n # Params on lowest rank\n self.assertTrue(system.is_variable_local('C1.y2'))\n self.assertTrue(system.is_variable_local('C2.y1'))\n else:\n self.assertFalse(system.is_variable_local('_pseudo_0.out0'))\n self.assertFalse(system.is_variable_local('C1.y2'))\n self.assertFalse(system.is_variable_local('C2.y1'))\n\n # Exclusive or - you either got C2 or C3 on a given process.\n self.assertTrue(system.is_variable_local('C1.y1') != system.is_variable_local('C2.y2'))\n self.assertTrue(system.is_variable_local('C1.exec_count') != system.is_variable_local('C2.exec_count'))", "metadata": "root.MPITests2.test_sellar_parallel", "header": "['class', 'MPITests2', '(', 'MPITestCase', ')', ':', '___EOS___']", "index": 437 }, { "content": " def test_sellar_Newton_parallel(self):\n\n top = set_as_top(SellarMDFwithDerivs())\n top.replace('driver', NewtonSolver())\n\n top.driver.add_parameter('C2.y1', low=-1e99, high=1e99)\n top.driver.add_constraint('C1.y1 = C2.y1')\n top.driver.add_parameter('C1.y2', low=-1.e99, high=1.e99)\n top.driver.add_constraint('C2.y2 = C1.y2')\n\n expected = { 'C1.y1': 3.1598617768014536, 'C2.y2': 3.7551999159927316 }\n\n top.driver.iprint = 0\n top.driver.max_iteration = 20\n top.run()\n # print top.C1.y1, top.C2.y1\n # print top.C1.y2, top.C2.y2\n\n # gather the values back to the rank 0 process and compare to expected\n dist_answers = top._system.mpi.comm.gather([(k[0],v) for k,v in top._system.vec['u'].items()],\n root=0)\n if self.comm.rank == 0:\n for answers in dist_answers:\n for name, val in answers:\n if name in expected:\n #print self.comm.rank, name, val[0]\n assert_rel_error(self, val[0], expected[name], 0.001)\n del expected[name]\n\n if expected:\n self.fail(\"not all expected values were found\")", "metadata": "root.MPITests2.test_sellar_Newton_parallel", "header": "['class', 'MPITests2', '(', 'MPITestCase', ')', ':', '___EOS___']", "index": 484 }, { "content": "class MPITests3(MPITestCase):\n\n N_PROCS = 3\n", "metadata": "root.MPITests3", "header": "['module', '___EOS___']", "index": 517 }, { "content": " def test_fan_out_in_noflats(self):\n size = 5 # array var size\n\n # a comp feeds 3 parallel comps which feed\n # another comp\n top = set_as_top(Assembly())\n top.add(\"C1\", ABCDArrayComp(size))\n top.add(\"C2\", ABCDArrayComp(size))\n top.add(\"C3\", ABCDArrayComp(size))\n top.add(\"C4\", ABCDArrayComp(size))\n top.add(\"C5\", ABCDArrayComp(size))\n top.driver.workflow.add(['C1', 'C2', 'C3', 'C4', 'C5'])\n top.connect('C1.c', 'C2.a')\n top.connect('C1.out_string', 'C2.in_string')\n top.connect('C1.out_list', 'C4.in_list')\n\n top.connect('C1.d', 'C3.b')\n top.connect('C1.c', 'C4.a')\n top.connect('C2.out_string', 'C5.in_string')\n top.connect('C3.d', 'C5.b')\n top.connect('C4.c', 'C5.a')\n top.connect('C4.out_list', 'C5.in_list')\n\n top.C1.a = np.ones(size, float) * 3.0\n top.C1.b = np.ones(size, float) * 7.0\n\n top.C1.in_string = 'foo'\n top.C1.in_list = [1, 1, 1]\n\n top.run()\n\n self.assertTrue(all(top.C5.a==np.ones(size, float)*11.))\n self.assertTrue(all(top.C5.b==np.ones(size, float)*5.))\n\n self.assertEqual(top.C5.out_string, 'foo_C1_C2_C5')\n self.assertEqual(top.C5.out_list, [1, 1, 1, 1.5, 1.5, 1.5])", "metadata": "root.MPITests3.test_fan_out_in_noflats", "header": "['class', 'MPITests3', '(', 'MPITestCase', ')', ':', '___EOS___']", "index": 521 }, { "content": "class TestCaseSerial(TestCase):\n", "metadata": "root.TestCaseSerial", "header": "['module', '___EOS___']", "index": 559 }, { "content": " def test_sellar_p_serial(self):\n\n top = set_as_top(SellarMDF())\n\n top.driver.add_parameter('C2.y1', low=-1e99, high=1e99)\n top.driver.add_constraint('C1.y1 = C2.y1')\n top.driver.add_parameter('C1.y2', low=-1.e99, high=1.e99)\n top.driver.add_constraint('C2.y2 = C1.y2')\n\n expected = { 'C1.y1': 3.160068, 'C2.y2': 3.755315 }\n\n top.run()\n\n #top._system.dump()\n\n #from openmdao.util.dotgraph import plot_graph, plot_system_tree\n #plot_graph(top.driver.workflow._reduced_graph, 'rgraph.pdf')\n #plot_system_tree(top._system, 'system.pdf')\n for name, expval in expected.items():\n val = top.get(name)\n assert_rel_error(self, val, expval, 0.001)", "metadata": "root.TestCaseSerial.test_sellar_p_serial", "header": "['class', 'TestCaseSerial', '(', 'TestCase', ')', ':', '___EOS___']", "index": 560 }, { "content": " def test_fan_in_simpledriver(self):\n size = 5\n\n # 2 parallel comps feeding another comp\n top = set_as_top(Assembly())\n top.add('driver', NoDerivSimpleDriver())\n\n top.add(\"C1\", ABCDArrayComp(size))\n top.add(\"C2\", ABCDArrayComp(size))\n top.add(\"C3\", ABCDArrayComp(size))\n top.driver.workflow.add(['C1', 'C2', 'C3'])\n top.connect('C1.c', 'C3.a')\n top.connect('C2.d', 'C3.b')\n\n top.C1.a = np.ones(size, float) * 3.0\n top.C1.b = np.ones(size, float) * 7.0\n top.C2.a = np.ones(size, float) * 4.0\n top.C2.b = np.ones(size, float) * 5.0\n\n top.driver.add_parameter('C1.a', low=-1000, high=1000)\n top.driver.add_objective('C3.d')\n\n top.run()\n\n self.assertTrue(all(top.C3.a==np.ones(size, float)*10.))\n self.assertTrue(all(top.C3.b==np.ones(size, float)*-1.))\n self.assertTrue(all(top.C3.c==np.ones(size, float)*9.))\n self.assertTrue(all(top.C3.d==np.ones(size, float)*11.))", "metadata": "root.TestCaseSerial.test_fan_in_simpledriver", "header": "['class', 'TestCaseSerial', '(', 'TestCase', ')', ':', '___EOS___']", "index": 582 } ]

[ { "span": "from openmdao.main.api import Assembly, Component, set_as_top, Driver", "start_line": 10, "start_column": 0, "end_line": 10, "end_column": 69 }, { "span": "from openmdao.main.mpiwrap import MPI, MPIContext", "start_line": 13, "start_column": 0, "end_line": 13, "end_column": 49 } ]

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[ { "content": " def test_summary(self):\n summary = self.results.summary()\n tables = [str(table) for table in summary.tables]\n params = self.true['params']\n\n # Make sure we have the right number of tables\n assert_equal(len(tables), 2 + self.model.k_endog + self.model.k_factors + 1)\n\n # Check the model overview table\n assert_equal(re.search(r'Model:.*DynamicFactor\\(factors=2, order=1\\)', tables[0]) is None, False)\n\n # For each endogenous variable, check the output\n for i in range(self.model.k_endog):\n offset_loading = self.model.k_factors * i\n offset_var = self.model.k_factors * self.model.k_endog\n table = tables[i + 2]\n\n # -> Make sure we have the right table / table name\n name = self.model.endog_names[i]\n assert_equal(re.search('Results for equation %s' % name, table) is None, False)\n\n # -> Make sure it's the right size\n assert_equal(len(table.split('\\n')), 7)\n\n # -> Check that we have the right coefficients\n assert_equal(re.search('loading.f1 +' + forg(params[offset_loading + 0], prec=4), table) is None, False)\n assert_equal(re.search('loading.f2 +' + forg(params[offset_loading + 1], prec=4), table) is None, False)\n\n # For each factor, check the output\n for i in range(self.model.k_factors):\n offset = self.model.k_endog * (self.model.k_factors + 1) + i * self.model.k_factors\n table = tables[self.model.k_endog + i + 2]\n\n # -> Make sure we have the right table / table name\n name = self.model.endog_names[i]\n assert_equal(re.search('Results for factor equation f%d' % (i+1), table) is None, False)\n\n # -> Make sure it's the right size\n assert_equal(len(table.split('\\n')), 7)\n\n # -> Check that we have the right coefficients\n assert_equal(re.search('L1.f1 +' + forg(params[offset + 0], prec=4), table) is None, False)\n assert_equal(re.search('L1.f2 +' + forg(params[offset + 1], prec=4), table) is None, False)\n\n # Check the Error covariance matrix output\n table = tables[2 + self.model.k_endog + self.model.k_factors]\n\n # -> Make sure we have the right table / table name\n name = self.model.endog_names[i]\n assert_equal(re.search('Error covariance matrix', table) is None, False)\n\n # -> Make sure it's the right size\n assert_equal(len(table.split('\\n')), 8)\n\n # -> Check that we have the right coefficients\n offset = self.model.k_endog * self.model.k_factors\n for i in range(self.model.k_endog):\n assert_equal(re.search('sigma2.%s +%s' % (self.model.endog_names[i], forg(params[offset + i], prec=4)), table) is None, False)", "metadata": "root.TestDynamicFactor2.test_summary", "header": "['class', 'TestDynamicFactor2', '(', 'CheckDynamicFactor', ')', ':', '___EOS___']", "index": 187 }, { "content": " def test_summary(self):\n summary = self.results.summary()\n tables = [str(table) for table in summary.tables]\n params = self.true['params']\n\n # Make sure we have the right number of tables\n assert_equal(len(tables), 2 + self.model.k_endog + self.model.k_factors + 1)\n\n # Check the model overview table\n assert_equal(re.search(r'Model:.*DynamicFactor\\(factors=1, order=1\\)', tables[0]) is None, False)\n assert_equal(re.search(r'.*2 regressors', tables[0]) is None, False)\n\n # For each endogenous variable, check the output\n for i in range(self.model.k_endog):\n offset_loading = self.model.k_factors * i\n offset_exog = self.model.k_factors * self.model.k_endog\n table = tables[i + 2]\n\n # -> Make sure we have the right table / table name\n name = self.model.endog_names[i]\n assert_equal(re.search('Results for equation %s' % name, table) is None, False)\n\n # -> Make sure it's the right size\n assert_equal(len(table.split('\\n')), 8)\n\n # -> Check that we have the right coefficients\n assert_equal(re.search('loading.f1 +' + forg(params[offset_loading + 0], prec=4), table) is None, False)\n assert_equal(re.search('beta.const +' + forg(params[offset_exog + i*2 + 0], prec=4), table) is None, False)\n assert_equal(re.search('beta.x1 +' + forg(params[offset_exog + i*2 + 1], prec=4), table) is None, False)\n\n # For each factor, check the output\n for i in range(self.model.k_factors):\n offset = self.model.k_endog * (self.model.k_factors + 3) + i * self.model.k_factors\n table = tables[self.model.k_endog + i + 2]\n\n # -> Make sure we have the right table / table name\n name = self.model.endog_names[i]\n assert_equal(re.search('Results for factor equation f%d' % (i+1), table) is None, False)\n\n # -> Make sure it's the right size\n assert_equal(len(table.split('\\n')), 6)\n\n # -> Check that we have the right coefficients\n assert_equal(re.search('L1.f1 +' + forg(params[offset + 0], prec=4), table) is None, False)\n\n # Check the Error covariance matrix output\n table = tables[2 + self.model.k_endog + self.model.k_factors]\n\n # -> Make sure we have the right table / table name\n name = self.model.endog_names[i]\n assert_equal(re.search('Error covariance matrix', table) is None, False)\n\n # -> Make sure it's the right size\n assert_equal(len(table.split('\\n')), 8)\n\n # -> Check that we have the right coefficients\n offset = self.model.k_endog * (self.model.k_factors + 2)\n for i in range(self.model.k_endog):\n assert_equal(re.search('sigma2.%s +%s' % (self.model.endog_names[i], forg(params[offset + i], prec=4)), table) is None, False)", "metadata": "root.TestDynamicFactor_exog2.test_summary", "header": "['class', 'TestDynamicFactor_exog2', '(', 'CheckDynamicFactor', ')', ':', '___EOS___']", "index": 297 }, { "content": " def test_summary(self):\n summary = self.results.summary()\n tables = [str(table) for table in summary.tables]\n params = self.true['params']\n\n # Make sure we have the right number of tables\n assert_equal(len(tables), 2 + self.model.k_endog + self.model.k_factors + self.model.k_endog + 1)\n\n # Check the model overview table\n assert_equal(re.search(r'Model:.*DynamicFactor\\(factors=1, order=1\\)', tables[0]) is None, False)\n assert_equal(re.search(r'.*VAR\\(1\\) errors', tables[0]) is None, False)\n\n # For each endogenous variable, check the output\n for i in range(self.model.k_endog):\n offset_loading = self.model.k_factors * i\n table = tables[i + 2]\n\n # -> Make sure we have the right table / table name\n name = self.model.endog_names[i]\n assert_equal(re.search('Results for equation %s' % name, table) is None, False)\n\n # -> Make sure it's the right size\n assert_equal(len(table.split('\\n')), 6)\n\n # -> Check that we have the right coefficients\n assert_equal(re.search('loading.f1 +' + forg(params[offset_loading + 0], prec=4), table) is None, False)\n\n # For each factor, check the output\n for i in range(self.model.k_factors):\n offset = self.model.k_endog * self.model.k_factors + 6 + i * self.model.k_factors\n table = tables[2 + self.model.k_endog + i]\n\n # -> Make sure we have the right table / table name\n name = self.model.endog_names[i]\n assert_equal(re.search('Results for factor equation f%d' % (i+1), table) is None, False)\n\n # -> Make sure it's the right size\n assert_equal(len(table.split('\\n')), 6)\n\n # -> Check that we have the right coefficients\n assert_equal(re.search('L1.f1 +' + forg(params[offset + 0], prec=4), table) is None, False)\n\n # For each error equation, check the output\n for i in range(self.model.k_endog):\n offset = self.model.k_endog * (self.model.k_factors + i) + 6 + self.model.k_factors\n table = tables[2 + self.model.k_endog + self.model.k_factors + i]\n\n # -> Make sure we have the right table / table name\n name = self.model.endog_names[i]\n assert_equal(re.search('Results for error equation e\\(%s\\)' % name, table) is None, False)\n\n # -> Make sure it's the right size\n assert_equal(len(table.split('\\n')), 8)\n\n # -> Check that we have the right coefficients\n for j in range(self.model.k_endog):\n name = self.model.endog_names[j]\n assert_equal(re.search('L1.e\\(%s\\) +%s' % (name, forg(params[offset + j], prec=4)), table) is None, False)\n\n # Check the Error covariance matrix output\n table = tables[2 + self.model.k_endog + self.model.k_factors + self.model.k_endog]\n\n # -> Make sure we have the right table / table name\n name = self.model.endog_names[i]\n assert_equal(re.search('Error covariance matrix', table) is None, False)\n\n # -> Make sure it's the right size\n assert_equal(len(table.split('\\n')), 11)\n\n # -> Check that we have the right coefficients\n offset = self.model.k_endog * self.model.k_factors\n assert_equal(re.search('sqrt.var.dln_inv +' + forg(params[offset + 0], prec=4), table) is None, False)\n assert_equal(re.search('sqrt.cov.dln_inv.dln_inc +' + forg(params[offset + 1], prec=4), table) is None, False)\n assert_equal(re.search('sqrt.var.dln_inc +' + forg(params[offset + 2], prec=4), table) is None, False)\n assert_equal(re.search('sqrt.cov.dln_inv.dln_consump +' + forg(params[offset + 3], prec=4), table) is None, False)\n assert_equal(re.search('sqrt.cov.dln_inc.dln_consump +' + forg(params[offset + 4], prec=4), table) is None, False)\n assert_equal(re.search('sqrt.var.dln_consump +' + forg(params[offset + 5], prec=4), table) is None, False)", "metadata": "root.TestDynamicFactor_general_errors.test_summary", "header": "['class', 'TestDynamicFactor_general_errors', '(', 'CheckDynamicFactor', ')', ':', '___EOS___']", "index": 398 } ]

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[ { "content": " def _IntegrateTime(self, new_pos, log=False):\n \"\"\"Integrates time by movement along the linear path defined by the\n vector between self._last_pos and new_pos.\n\n - 'm': slope of line from self._last_pos to new_pos.\n - 'a': max rate of change (self._roc_max) is (max - min seconds) / screen height\n - 'b': rate of change slope (self._roc_slope)\n - 'c': last Y position (self._last_pos[1])\n - 'd': exponent in an inverse exponential curve from max roc to min roc\n \"\"\"\n x_delta = float(new_pos[0] - self._last_pos[0])\n y_delta = (new_pos[1] - self._last_pos[1])\n if y_delta == 0.0:\n return 0.0 # no integration necessary\n m = x_delta / y_delta\n a = self._roc_max\n b = self._roc_slope\n c = float(self._last_pos[1])\n\n def _ComputeIntegral(y):\n return 0.5 * y * (2*a + b*(2*self._last_pos[0] + m*(y-2*self._last_pos[1])))\n\n if log:\n max_diff = (new_pos[1] - self._last_pos[1]) * (self._roc_max + self._roc_slope * min(new_pos[0], self._last_pos[0]))\n print 'max interval: %.2f' % (self._max_time - self._min_time)\n print 'x delta: %.2f, y delta: %.2f, slope: %.2f' % (x_delta, y_delta, 1/m)\n print 'max difference allowed: %.2f' % max_diff\n print 'integral at new pos: %.2f' % _ComputeIntegral(new_pos[1])\n print 'integral at old pos: %.2f' % _ComputeIntegral(self._last_pos[1])\n print 'integrated difference: %.2f' % (_ComputeIntegral(new_pos[1]) - _ComputeIntegral(self._last_pos[1]))\n\n return _ComputeIntegral(new_pos[1]) - _ComputeIntegral(self._last_pos[1])", "metadata": "root.VFTime._IntegrateTime", "header": "['class', 'VFTime', '(', 'object', ')', ':', '___EOS___']", "index": 137 }, { "content": "def DrawGuides(vf_time):\n \"\"\"Draws guides showing the currently displayed interval at scale on\n the right side of the screen. Also draw a line backwards from the\n current time to the corresponding time on the right side interval.\n \"\"\"\n pos = vf_time.GetPos()\n cur_time = vf_time.GetTime()\n interval = vf_time.GetInterval()\n interval_size = interval[1] - interval[0]\n max_interval = vf_time.GetMaxInterval()\n max_interval_size = max_interval[1] - max_interval[0]\n\n def _DrawGuideLine(timestamp, fmt, transparency=0.0):\n \"\"\"Draws a guide line from current interval at 'timestamp' to the max\n interval.\n \"\"\"\n left_ratio = float(timestamp - interval[0]) / interval_size\n left_y = int(iphone_dims[1] * (1.0 - left_ratio))\n right_ratio = float(timestamp - max_interval[0]) / (max_interval[1] - max_interval[0])\n right_y = int(iphone_dims[1] * (1.0 - right_ratio))\n line = [(pos[0], left_y), (iphone_dims[0], right_y)]\n DrawLine(line, line_color, 0.0)\n DrawLabel(datetime.fromtimestamp(timestamp).strftime(fmt),\n iphone_dims[0], right_y, text_color, font, 0.0)\n\n def _DrawHorizontalGuideLine(timestamp, fmt, transparency=0.0):\n \"\"\"Draws a guide line from current interval at 'timestamp' to the max\n interval.\n \"\"\"\n left_ratio = float(timestamp - interval[0]) / interval_size\n left_y = int(iphone_dims[1] * (1.0 - left_ratio))\n right_ratio = float(timestamp - max_interval[0]) / (max_interval[1] - max_interval[0])\n right_y = int(iphone_dims[1] * (1.0 - right_ratio))\n line = [(iphone_dims[0] - 60, right_y), (iphone_dims[0], right_y)]\n DrawLine(line, line_color, 0.0)\n DrawLabel(datetime.fromtimestamp(timestamp).strftime(fmt),\n iphone_dims[0]-60, right_y, text_color, font, 0.0)\n\n # Draw interval guide lines.\n [_DrawHorizontalGuideLine(x, '%b %d, %Y') for x in interval]\n _DrawHorizontalGuideLine(cur_time, '%b %d, %Y')\n\n interval = max_interval\n interval_size = max_interval[1] - max_interval[0]\n def _DrawIntervalTick(timestamp, fmt, transparency=0.0):\n \"\"\"Draws a guide label with specified 'timestamp' and 'fmt'.\"\"\"\n label = datetime.fromtimestamp(timestamp).strftime(fmt)\n ratio = float(timestamp - interval[0]) / interval_size\n x = iphone_dims[0]#max(min_tick_x_offset, pos[0])\n y = int(iphone_dims[1] * (1.0 - ratio))\n DrawLabel(label, x, y, text_color, font, transparency)\n\n # Draw ticks for days, months, & years.\n start = datetime.fromtimestamp(interval[0])\n end = datetime.fromtimestamp(interval[1])\n\n fade_interval = [60, 4]\n if interval_size < DAY * fade_interval[0]:\n transparency = max(0.0, (float(interval_size - DAY * fade_interval[1]) / DAY) / (fade_interval[0] - fade_interval[1]))\n cur = start.replace(hour=0, minute=0, second=0, microsecond=0)\n while cur < end:\n _DrawIntervalTick(time.mktime(cur.timetuple()), '%b %d, %Y', transparency)\n cur = cur + timedelta(days=1)\n\n fade_interval = [36, 12]\n if interval_size < MONTH * fade_interval[0]:\n transparency = max(0.0, (float(interval_size - MONTH * fade_interval[1]) / MONTH) / (fade_interval[0] - fade_interval[1]))\n cur = start.replace(day=1, hour=0, minute=0, second=0, microsecond=0)\n while cur < end:\n _DrawIntervalTick(time.mktime(cur.timetuple()), '%b %Y', transparency)\n cur = GetNextMonth(cur)\n\n # Draw years if there are possibly more than two displayed.\n if interval_size >= MONTH * 12:\n cur = start.replace(month=1, day=1, hour=0, minute=0, second=0, microsecond=0)\n while cur < end:\n _DrawIntervalTick(time.mktime(cur.timetuple()), '%Y')\n cur = cur.replace(year=cur.year + 1, month=1, day=1, hour=0, minute=0, second=0, microsecond=0)\n\n #DrawLabel(datetime.fromtimestamp(cur_time).strftime('%b %d, %Y'),\n # pos[0], pos[1], cur_time_color, font, 0.0)\n # Draw max interval labels.\n #DrawLabel(datetime.fromtimestamp(max_interval[1]).strftime('%b %d, %Y'),\n # iphone_dims[0], 0, text_color, font, 0.0)\n #DrawLabel(datetime.fromtimestamp(max_interval[0]).strftime('%b %d, %Y'),\n # iphone_dims[0], iphone_dims[1], text_color, font, 0.0)", "metadata": "root.DrawGuides", "header": "['module', '___EOS___']", "index": 278 }, { "content": "def RenderEvents(vf_time, places):\n \"\"\"Renders events based on the current time and interval available\n via vf_time.\n \"\"\"\n # Get circle and draw it.\n c, r, theta = GetCircle(vf_time.GetPos())\n\n def _GetArcCoords(radians):\n \"\"\"Returns the coordinates on the arc for the specified angle.\"\"\"\n return [c[0] + r*math.cos(radians), c[1] + r*math.sin(radians)]\n\n def _GetTimestamp(radians):\n \"\"\"Gets timestamp implied by moving to 'radians' degrees on the arc.\"\"\"\n return vf_time.ComputeTimeAtPos(_GetArcCoords(radians))\n\n def _ApproximateAngle(timestamp, x, x1):\n \"\"\"Determines the position along the arc of the specified timestamp\n via numeric approximation (Secant Method).\n \"\"\"\n def f(x):\n return _GetTimestamp(x) - timestamp\n error = 1 # get within 1 pixel\n x2 = 0\n for attempt in xrange(20):\n d = f(x1) - f(x)\n if d < error:\n return x1\n x2 = x1 - f(x1) * (x1 - x) / d\n x = x1\n x1 = x2\n dx = x1 - x\n assert False, 'could not converge on position'\n\n def _ComputeDecay(distance, half_distance):\n return math.exp(-math.log(2.0) * distance / half_distance)\n\n interval = vf_time.GetInterval()\n combined_places = CombinePlaces(places, float(interval[1] - interval[0]) / 24)\n start_angle = math.pi - theta / 2\n end_angle = math.pi + theta / 2\n text_height = 16.0\n half_distance = 12.0\n\n places = []\n for p in combined_places:\n place_angle = _ApproximateAngle(p['timestamp'], start_angle, end_angle)\n if place_angle > start_angle and place_angle < end_angle:\n p['x'], p['y'] = _GetArcCoords(place_angle)\n places.append(p)\n\n # For each place, compute the rank in the 'neighborhood'.\n for p in places:\n y = p['y']\n sub_places = [sp for sp in places if sp['y'] > (y - text_height) and sp['y'] < (y + text_height)]\n max_count = max([sp['total_count'] for sp in sub_places])\n total_weight = 0\n for sp in sub_places:\n total_weight += (float(sp['total_count']) / max_count) * _ComputeDecay(abs(sp['y'] - y), half_distance)\n p['weight'] = (float(p['total_count']) / max_count) / total_weight\n\n if places:\n min_weight = min(p['weight'] for p in places)\n max_weight = max(p['weight'] for p in places)\n sorted_places = sorted(places, key=itemgetter('weight'))\n for p in sorted_places:\n if min_weight == max_weight:\n opacity = 1.0\n else:\n opacity = (p['weight'] - min_weight) / (max_weight - min_weight)\n DrawLabel('%s' % (p['locality']), p['x'], p['y'], place_color,\n font, 1.0 - opacity, left_justify=True)", "metadata": "root.RenderEvents", "header": "['module', '___EOS___']", "index": 432 }, { "content": "def main():\n vp_data = []\n with open(os.path.join(os.path.dirname(__file__), 'viewpoint_data.txt'), 'r') as f:\n vp_data = json.load(f)\n vp_data = [vp for vp in vp_data if 'placemark' in vp]\n for index in xrange(len(vp_data)):\n vp = vp_data[index]\n vp['index'] = index\n vp['timestamp'] = index * event_height\n vp['datetime'] = datetime.fromtimestamp(vp['timestamp'])\n\n max_date = vp_data[0]['datetime']\n min_date = vp_data[-1]['datetime']\n vf_time = VFTime(vp_data[0]['timestamp'], vp_data[-1]['timestamp'])\n\n # Rates encompass: X years, 12 months, 28-31 days, 24 hours.\n levels = ['hours', 'days', 'months', 'years']\n level = levels[-1]\n display_places = False\n\n while True:\n ClearSurface()\n ProcessMotion(vf_time)\n if not vf_time.IsActive():\n DrawTargetBoxes()\n else:\n label = vf_time.GetDatetime().strftime('%b %d %Y')\n DrawGuides(vf_time)\n\n # Get list of viewpoints with place information between min-max dates.\n interval = vf_time.GetInterval()\n start = interval[0] - (interval[1] - interval[0]) / 2\n end = interval[1] + (interval[1] - interval[0]) / 2\n places = [vp for vp in vp_data if vp['timestamp'] > start and vp['timestamp'] < end]\n if vf_time.GetPos()[0] < 500:\n display_places = True\n if display_places:\n RenderEvents(vf_time, vp_data)\n\n pygame.display.flip()", "metadata": "root.main", "header": "['module', '___EOS___']", "index": 536 } ]

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[ { "content": "# encoding: utf-8\nimport datetime\nfrom south.db import db\nfrom south.v2 import SchemaMigration\nfrom django.db import models\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class Migration(SchemaMigration):\n\n\n\n models = {\n 'authorizenet.cimresponse': {\n 'Meta': {'object_name': 'CIMResponse'},\n 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),\n 'result': ('django.db.models.fields.CharField', [], {'max_length': '8'}),\n 'result_code': ('django.db.models.fields.CharField', [], {'max_length': '8'}),\n 'result_text': ('django.db.models.fields.CharField', [], {'max_length': '1023'}),\n 'transaction_response': ('django.db.models.fields.related.ForeignKey', [], {'to': \"orm['authorizenet.Response']\", 'null': 'True', 'blank': 'True'})\n },\n 'authorizenet.response': {\n 'MD5_Hash': ('django.db.models.fields.CharField', [], {'max_length': '255'}),\n 'Meta': {'object_name': 'Response'},\n 'address': ('django.db.models.fields.CharField', [], {'max_length': '60'}),\n 'amount': ('django.db.models.fields.CharField', [], {'max_length': '16'}),\n 'auth_code': ('django.db.models.fields.CharField', [], {'max_length': '10'}),\n 'avs_code': ('django.db.models.fields.CharField', [], {'max_length': '10'}),\n 'cavv_response': ('django.db.models.fields.CharField', [], {'max_length': '2', 'blank': 'True'}),\n 'city': ('django.db.models.fields.CharField', [], {'max_length': '40'}),\n 'company': ('django.db.models.fields.CharField', [], {'max_length': '50'}),\n 'country': ('django.db.models.fields.CharField', [], {'max_length': '60'}),\n 'cust_id': ('django.db.models.fields.CharField', [], {'max_length': '20'}),\n 'cvv2_resp_code': ('django.db.models.fields.CharField', [], {'max_length': '2', 'blank': 'True'}),\n 'description': ('django.db.models.fields.CharField', [], {'max_length': '255'}),\n 'duty': ('django.db.models.fields.CharField', [], {'max_length': '16', 'blank': 'True'}),\n 'email': ('django.db.models.fields.CharField', [], {'max_length': '255'}),\n 'fax': ('django.db.models.fields.CharField', [], {'max_length': '25'}),\n 'first_name': ('django.db.models.fields.CharField', [], {'max_length': '50'}),\n 'freight': ('django.db.models.fields.CharField', [], {'max_length': '16', 'blank': 'True'}),\n 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),\n 'invoice_num': ('django.db.models.fields.CharField', [], {'max_length': '20', 'blank': 'True'}),\n 'last_name': ('django.db.models.fields.CharField', [], {'max_length': '50'}),\n 'method': ('django.db.models.fields.CharField', [], {'max_length': '10'}),\n 'phone': ('django.db.models.fields.CharField', [], {'max_length': '25'}),\n 'po_num': ('django.db.models.fields.CharField', [], {'max_length': '25', 'blank': 'True'}),\n 'response_code': ('django.db.models.fields.CharField', [], {'max_length': '2'}),\n 'response_reason_code': ('django.db.models.fields.CharField', [], {'max_length': '15'}),\n 'response_reason_text': ('django.db.models.fields.TextField', [], {}),\n 'response_subcode': ('django.db.models.fields.CharField', [], {'max_length': '10'}),\n 'ship_to_address': ('django.db.models.fields.CharField', [], {'max_length': '60', 'blank': 'True'}),\n 'ship_to_city': ('django.db.models.fields.CharField', [], {'max_length': '40', 'blank': 'True'}),\n 'ship_to_company': ('django.db.models.fields.CharField', [], {'max_length': '50', 'blank': 'True'}),\n 'ship_to_country': ('django.db.models.fields.CharField', [], {'max_length': '60', 'blank': 'True'}),\n 'ship_to_first_name': ('django.db.models.fields.CharField', [], {'max_length': '50', 'blank': 'True'}),\n 'ship_to_last_name': ('django.db.models.fields.CharField', [], {'max_length': '50', 'blank': 'True'}),\n 'ship_to_state': ('django.db.models.fields.CharField', [], {'max_length': '40', 'blank': 'True'}),\n 'ship_to_zip': ('django.db.models.fields.CharField', [], {'max_length': '20', 'blank': 'True'}),\n 'state': ('django.db.models.fields.CharField', [], {'max_length': '40'}),\n 'tax': ('django.db.models.fields.CharField', [], {'max_length': '16', 'blank': 'True'}),\n 'tax_exempt': ('django.db.models.fields.CharField', [], {'max_length': '16', 'blank': 'True'}),\n 'test_request': ('django.db.models.fields.CharField', [], {'default': \"'FALSE'\", 'max_length': '10', 'blank': 'True'}),\n 'trans_id': ('django.db.models.fields.CharField', [], {'max_length': '255', 'db_index': 'True'}),\n 'type': ('django.db.models.fields.CharField', [], {'max_length': '20', 'db_index': 'True'}),\n 'zip': ('django.db.models.fields.CharField', [], {'max_length': '20'})\n }\n }\n\n complete_apps = ['authorizenet']", "metadata": "root.Migration", "header": "['module', '___EOS___']", "index": 7 }, { "content": " def forwards(self, orm):\n\n # Adding model 'CIMResponse'\n db.create_table('authorizenet_cimresponse', (\n ('id', self.gf('django.db.models.fields.AutoField')(primary_key=True)),\n ('result', self.gf('django.db.models.fields.CharField')(max_length=8)),\n ('result_code', self.gf('django.db.models.fields.CharField')(max_length=8)),\n ('result_text', self.gf('django.db.models.fields.CharField')(max_length=1023)),\n ('transaction_response', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['authorizenet.Response'], null=True, blank=True)),\n ))\n db.send_create_signal('authorizenet', ['CIMResponse'])", "metadata": "root.Migration.forwards", "header": "['class', 'Migration', '(', 'SchemaMigration', ')', ':', '___EOS___']", "index": 9 }, { "content": " def backwards(self, orm):\n\n # Deleting model 'CIMResponse'\n db.delete_table('authorizenet_cimresponse')", "metadata": "root.Migration.backwards", "header": "['class', 'Migration', '(', 'SchemaMigration', ')', ':', '___EOS___']", "index": 21 } ]

[ { "span": "import datetime", "start_line": 1, "start_column": 0, "end_line": 1, "end_column": 15 }, { "span": "from django.db import models", "start_line": 4, "start_column": 0, "end_line": 4, "end_column": 28 } ]

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[ { "content": " def run(self,\n counts,\n design,\n model=None,\n dispersion=None,\n ref_group=None,\n contrasts=None,\n outfile_prefix=None):\n\n if not design.has_replicates and dispersion is None:\n raise ValueError(\"no replicates and no dispersion\")\n\n # create r objects\n r_counts = pandas2ri.py2ri(counts.table)\n r_groups = ro.StrVector(design.conditions)\n r_pairs = ro.StrVector(design.pairs)\n r_has_pairs = ro.default_py2ri(design.has_pairs)\n r_has_replicates = ro.default_py2ri(design.has_replicates)\n\n if dispersion is not None:\n r_dispersion = ro.default_py2ri(dispersion)\n else:\n r_dispersion = ro.default_py2ri(False)\n\n if model is not None:\n r_factors_df = pandas2ri.py2ri(design.factors)\n else:\n r_factors_df = ro.default_py2ri(False)\n\n if ref_group is not None:\n r_ref_group = ro.default_py2ri(ref_group)\n else:\n r_ref_group = ro.default_py2ri(design.groups[0])\n\n if contrasts is not None:\n raise ValueError(\"cannot currently handle user defined contrasts\")\n r_contrasts = ro.default_py2ri(contrasts)\n\n E.info('running EdgeR: groups=%s, pairs=%s, replicates=%s, pairs=%s' %\n (design.groups, design.pairs, design.has_replicates,\n design.has_pairs))\n\n # build DGEList object\n buildDGEList = R('''\n suppressMessages(library('edgeR'))\n\n function(counts, groups, ref_group, factors_df){\n\n countsTable = DGEList(counts, group=groups)\n\n if (factors_df != FALSE){\n for (level in colnames(factors_df)){\n countsTable$samples[level] <- factors_df[level]\n }}\n\n countsTable$samples$group <- relevel(countsTable$samples$group,\n ref = ref_group)\n\n countsTable = calcNormFactors(countsTable)\n\n return(countsTable)}''')\n\n r_countsTable = buildDGEList(r_counts, r_groups,\n r_ref_group, r_factors_df)\n\n # build design matrix\n if model is None:\n buildDesign = R('''\n\n function(countsTable, has_pairs){\n\n if (has_pairs==TRUE) {\n design <- model.matrix( ~pairs + countsTable$samples$group ) }\n\n else {\n design <- model.matrix( ~countsTable$samples$group ) }\n\n return(design)\n }''')\n\n r_design = buildDesign(r_countsTable, r_has_pairs)\n else:\n buildDesign = R('''\n function(factors_df){\n design <- model.matrix(%s, data=factors_df)\n return(design)}''' % model)\n\n r_design = buildDesign(r_factors_df)\n\n # TS - for debugging, remove from final version\n E.info(\"design_table:\")\n E.info(r_design)\n\n # fit model\n fitModel = R('''\n function(countsTable, design, has_replicates, dispersion){\n\n if (has_replicates == TRUE) {\n\n # estimate common dispersion\n countsTable = estimateGLMCommonDisp( countsTable, design )\n\n # estimate trended dispersion\n countsTable <- estimateGLMTrendedDisp( countsTable, design)\n\n # estimate tagwise dispersion\n countsTable = estimateGLMTagwiseDisp( countsTable, design )\n\n # fitting model to each tag\n fit = glmFit( countsTable, design ) }\n\n else {\n # fitting model to each tag\n fit = glmFit(countsTable, design, dispersion=dispersion) }\n\n return(fit)}''')\n\n r_fit = fitModel(r_countsTable, r_design,\n r_has_replicates, r_dispersion)\n\n E.info(\"Conducting liklihood ratio tests\")\n\n # TS - if no contrasts are specified, perform LR test on all possible\n # contrasts, otherwise, only perform the contrasts specified\n # TS - Function definition should depend on whether contrasts\n # are specified (keep the decision tree in python)\n # TS - To do:\n # add lrtTest definition for user-supplied contrasts\n if contrasts is None:\n lrtTest = R('''\n function(fit, prefix, countsTable, design){\n suppressMessages(library(reshape2))\n\n lrt_table_list = NULL\n\n for(coef in seq(2, length(colnames(design)))){\n lrt = glmLRT(fit, coef = coef)\n\n\n lrt_table = lrt$table\n # need to include observations as a seperate column as there will\n # be non-unique\n lrt_table$observation = rownames(lrt_table)\n rownames(lrt_table) <- NULL\n\n lrt_table_list[[coef]] = lrt_table\n lrt_table_list[[coef]]['contrast'] = colnames(design)[coef]\n\n dt <- decideTestsDGE(lrt)\n isDE <- as.logical(dt)\n DEnames <- rownames(fit)[isDE]\n\n contrast = gsub(\":\", \"_interaction_\", colnames(design)[coef])\n png(paste0(contrast, \"MAplot.png\"))\n plotSmear(lrt, de.tags=DEnames, cex=0.35, main=contrast)\n abline(h=c(-1,1), col=\"blue\")\n dev.off()\n }\n\n lrt_final = do.call(rbind, lrt_table_list)\n\n return(lrt_final)}''')\n\n r_lrt_table = lrtTest(r_fit, outfile_prefix,\n r_countsTable, r_design)\n else:\n # TS - shouldn't get to here as error thrown earlier if\n # contrasts is not None\n pass\n\n E.info(\"Generating output - cpm table\")\n\n # output cpm table\n outputCPMTable = R('''function(countsTable, outfile_prefix){\n suppressMessages(library(reshape2))\n countsTable.cpm <- cpm(countsTable, normalized.lib.sizes=TRUE)\n melted <- melt(countsTable.cpm)\n names(melted) <- c(\"test_id\", \"sample\", \"ncpm\")\n\n # melt columns are factors - convert to string for sorting\n melted$test_id = levels(melted$test_id)[as.numeric(melted$test_id)]\n melted$sample = levels(melted$sample)[as.numeric(melted$sample)]\n\n # sort cpm table by test_id and sample\n sorted <- melted[with(melted, order(test_id, sample)),]\n gz <- gzfile(paste0(outfile_prefix,\"cpm.tsv.gz\"), \"w\" )\n write.table(sorted, file=gz, sep = \"\\t\", row.names=FALSE, quote=FALSE)\n close(gz)}''')\n\n outputCPMTable(r_countsTable, outfile_prefix)\n\n result = DEResult_edgeR(testTable=pandas2ri.ri2py(r_lrt_table))\n\n return result", "metadata": "root.DEExperiment_edgeR.run", "header": "['class', 'DEExperiment_edgeR', '(', 'DEExperiment', ')', ':', '___EOS___']", "index": 641 }, { "content": " def run(self,\n counts,\n design,\n model=None,\n dispersion_method=\"pooled\",\n ref_group=None,\n contrasts=None,\n outfile_prefix=None,\n sharing_mode=\"maximum\",\n fit_type=\"parametric\"):\n\n # create r objects\n r_counts = pandas2ri.py2ri(counts.table)\n r_groups = ro.StrVector(design.conditions)\n r_pairs = ro.StrVector(design.pairs)\n r_has_pairs = ro.default_py2ri(design.has_pairs)\n r_has_replicates = ro.default_py2ri(design.has_replicates)\n r_dispersion_method = ro.default_py2ri(dispersion_method)\n r_sharing_mode = ro.default_py2ri(sharing_mode)\n r_fit_type = ro.default_py2ri(fit_type)\n\n if model is not None:\n r_factors_df = pandas2ri.py2ri(design.factors)\n else:\n r_factors_df = ro.default_py2ri(False)\n\n if ref_group is not None:\n r_ref_group = ro.default_py2ri(ref_group)\n else:\n r_ref_group = ro.default_py2ri(design.groups[0])\n\n if contrasts is not None:\n raise ValueError(\"cannot currently handle user defined contrasts\")\n r_contrasts = ro.default_py2ri(contrasts)\n\n if dispersion_method == \"pooled\" and not design.has_replicates:\n E.warn(\"cannot use pooled dispersion without replicates, switching\"\n \" to 'blind dispersion method\")\n r_dispersion_method = ro.default_py2ri(\"blind\")\n\n E.info('running DESeq: groups=%s, pairs=%s, replicates=%s, pairs=%s' %\n (design.groups, design.pairs, design.has_replicates,\n design.has_pairs))\n\n E.info(\"dispersion_method=%s, fit_type=%s, sharing_mode=%s\" %\n (dispersion_method, fit_type, sharing_mode))\n\n # load DESeq\n R('''suppressMessages(library('DESeq'))''')\n\n buildCountDataSet = R('''\n function(counts, groups, dispersion_method, fit_type, sharing_mode){\n\n # create new counts data object for deseq\n cds <- newCountDataSet(counts, groups)\n\n # estimate size factors\n cds <- estimateSizeFactors(cds)\n\n # estimate dispersion\n cds <- estimateDispersions(cds, method=dispersion_method,\n fitType=fit_type, sharingMode=sharing_mode)\n\n }''')\n\n buildCountDataSet(r_counts, r_groups, r_dispersion_method,\n r_fit_type, r_sharing_mode)\n\n result = None\n # result = DEResult_DESeq(testTable=pandas2ri.ri2py(r_lrt_table))\n\n return result", "metadata": "root.DEExperiment_DESeq.run", "header": "['class', 'DEExperiment_DESeq', '(', 'DEExperiment', ')', ':', '___EOS___']", "index": 887 }, { "content": " def __call__(self, probesets,\n treatments,\n controls,\n pattern=None,\n fdr=0.10,\n ngenes=None,\n npermutations=1000,\n ndelta=10,\n method=\"ttest\"):\n\n if ngenes and fdr:\n raise ValueError(\"either supply ngenes or fdr, but not both.\")\n\n R.library(\"samr\")\n\n m = numpy.matrix(treatments + controls)\n m = numpy.transpose(m)\n labels = numpy.array([1] * len(treatments) + [2] * len(controls))\n\n R.assign(\"x\", numpy.array(m))\n R.assign(\"y\", labels)\n R.assign(\"probesets\", probesets)\n\n data = R(\n '''data=list( x=x, y=y, geneid=1:length(probesets), genenames=probesets, logged2=TRUE)''')\n result = R(\n '''samr.obj<-samr(data, resp.type=\"Two class unpaired\", nperms=100)''')\n R('''plot(samr.obj, delta=.4)''')", "metadata": "root.SAMR.__call__", "header": "['class', 'SAMR', '(', 'object', ')', ':', '___EOS___']", "index": 1603 }, { "content": "def deseqParseResults(control_name, treatment_name, fdr, vsd=False):\n '''parse deseq output.\n\n retrieve deseq results from object 'res' in R namespace.\n\n The 'res' object is a dataframe with the following columns (from the\n DESeq manual):\n\n id: The ID of the observable, taken from the row names of the\n counts slots.\n\n baseMean: The base mean (i.e., mean of the counts divided by the size\n factors) for the counts for both conditions\n\n baseMeanA: The base mean (i.e., mean of the counts divided by the size\n factors) for the counts for condition A\n\n baseMeanB: The base mean for condition B\n\n foldChange: The ratio meanB/meanA\n\n log2FoldChange: The log2 of the fold change\n\n pval: The p value for rejecting the null hypothesis 'meanA==meanB'\n\n padj: The adjusted p values (adjusted with 'p.adjust( pval,\n method=\"BH\")')\n\n vsd_log2FoldChange: The log2 fold change after variance stabilization.\n This data field is not part of DESeq proper, but has been added\n in this module in the runDESeq() method.\n\n Here, 'conditionA' is 'control' and 'conditionB' is 'treatment'\n such that a foldChange of 2 means that treatment is twice\n upregulated compared to control.\n\n Returns a list of results.\n\n If vsd is True, the log fold change will be computed from the variance\n stabilized data.\n\n '''\n\n results = []\n isna = R[\"is.na\"]\n\n # Get column names from output and edit\n names = list(R['res'].names)\n m = dict([(x, x) for x in names])\n m.update(dict(\n pval=\"pvalue\",\n baseMeanA=\"value1\",\n baseMeanB=\"value2\",\n id=\"interval_id\",\n log2FoldChange=\"lfold\"))\n\n rtype = collections.namedtuple(\"rtype\", names)\n counts = E.Counter()\n\n for data in zip(*R['res']):\n counts.input += 1\n\n d = rtype._make(data)\n\n # set significant flag\n if d.padj <= fdr:\n signif = 1\n counts.significant += 1\n if d.log2FoldChange > 0:\n counts.significant_over += 1\n else:\n counts.significant_under += 1\n else:\n signif = 0\n counts.insignificant += 1\n\n if d.log2FoldChange > 0:\n counts.all_over += 1\n else:\n counts.all_under += 1\n\n # set lfold change to 0 if both are not expressed\n if d.baseMeanA == 0.0 and d.baseMeanB == 0.0:\n d = d._replace(foldChange=0, log2FoldChange=0)\n\n if d.pval != R('''NA'''):\n status = \"OK\"\n else:\n status = \"FAIL\"\n\n counts[status] += 1\n\n counts.output += 1\n\n # check if our assumptions about the direction of fold change\n # are correct\n assert (d.foldChange > 1) == (d.baseMeanB > d.baseMeanA)\n\n # note that fold change is computed as second group (B) divided by\n # first (A)\n results.append(GeneExpressionResult._make((\n d.id,\n treatment_name,\n d.baseMeanB,\n 0,\n control_name,\n d.baseMeanA,\n 0,\n d.pval,\n d.padj,\n d.log2FoldChange,\n d.foldChange,\n d.transformed_log2FoldChange,\n str(signif),\n status)))\n\n return results, counts", "metadata": "root.deseqParseResults", "header": "['module', '___EOS___']", "index": 2521 }, { "content": "def plotTagStats(infile, design_file, outfile_prefix):\n '''provide summary plots for tag data.'''\n\n loadTagData(infile, design_file)\n\n nobservations, nsamples = filterTagData()\n\n if nobservations == 0:\n E.warn(\"no observations - no output\")\n return\n\n if nsamples == 0:\n E.warn(\"no samples remain after filtering - no output\")\n return\n\n groups, pairs, has_replicates, has_pairs = groupTagData()\n\n # import rpy2.robjects.lib.ggplot2 as ggplot2\n\n R('''suppressMessages(library('ggplot2'))''')\n R('''suppressMessages(library('reshape'))''')\n\n R('''d = melt( log10(countsTable + 1), variable_name = 'sample' )''')\n\n # Note that ggsave does not work if there is\n # X display.\n R.png(outfile_prefix + \".densities.png\")\n R('''gp = ggplot(d)''')\n R('''pp = gp + geom_density(aes(x=value, group=sample,\n color=sample, fill=sample), alpha=I(1/3))''')\n R('''plot(pp)''')\n R['dev.off']()\n\n R.png(outfile_prefix + \".boxplots.png\")\n R('''gp = ggplot(d)''')\n R('''pp = gp +\n geom_boxplot(aes(x=sample,y=value,color=sample,fill=sample),\n size=0.3,\n alpha=I(1/3)) +\n theme(axis.text.x = element_text( angle=90, hjust=1, size=8 ) )''')\n R('''plot(pp)''')\n R['dev.off']()", "metadata": "root.plotTagStats", "header": "['module', '___EOS___']", "index": 3190 }, { "content": "def outputSpikeIns(filename_tags,\n outfile,\n output_filename_pattern,\n filename_design=None,\n foldchange_max=10.0,\n expression_max=5.0,\n max_counts_per_bin=100,\n expression_bin_width=0.5,\n foldchange_bin_width=0.5,\n iterations=1):\n\n E.info(\"loading tag data from %s\" % filename_tags)\n\n if filename_design is not None:\n # load all tag data\n counts_table, design_table = loadTagDataPandas(\n filename_tags, filename_design)\n\n # filter\n counts_table = filterTagDataPandas(counts_table, design_table)\n\n else:\n raise NotImplementedError(\"reading full table not implemented\")\n\n nobservations, nsamples = counts_table.shape\n\n groups = list(set(design_table[\"group\"]))\n if len(groups) != 2:\n raise NotImplementedError(\n \"spike in only implemented for one pairwise comparison\")\n\n # select group data\n group1 = counts_table[design_table[design_table.group == groups[0]].index]\n group2 = counts_table[design_table[design_table.group == groups[1]].index]\n\n outfile.write(\"interval_id\\t%s\\t%s\\n\" %\n (\"\\t\".join(group1.columns), \"\\t\".join(group2.columns)))\n outf_info = IOTools.openFile(output_filename_pattern + \"info.tsv.gz\", \"w\")\n outf_info.write(\"interval_id\\tl10_expression\\tl2fold\\n\")\n\n # important: convert to matrixes, otherwise there will be a per-name lookup\n # when l10average or l2fold are computed.\n group1 = group1.as_matrix()\n group2 = group2.as_matrix()\n\n # compute bins\n expression_bins = numpy.arange(0, expression_max, expression_bin_width)\n fold_change_bins = numpy.arange(-foldchange_max,\n foldchange_max, foldchange_bin_width)\n\n E.info(\"l10expression bins=%s\" % expression_bins)\n E.info(\"l2fold change bins=%s\" % fold_change_bins)\n\n # output values\n output_counts = numpy.zeros(\n (len(expression_bins) + 1, len(fold_change_bins) + 1))\n\n for iteration in range(iterations):\n\n # randomize order\n group1 = numpy.random.permutation(group1)\n group2 = numpy.random.permutation(group2)\n\n # compute means and foldchanges\n group1_mean = group1.mean(1)\n group2_mean = group2.mean(1)\n\n # compute average expression by means\n l10average = numpy.log((group1_mean + group2_mean) / 2.0)\n\n # compute a fold change with pseudo count of 1\n l2fold = numpy.log2((group1_mean + 1.0) / (group2_mean + 1.0))\n\n # digitize arrays with bins\n l10average_idx = numpy.digitize(l10average, expression_bins)\n l2fold_idx = numpy.digitize(l2fold, fold_change_bins)\n\n interval_id = 0\n for idx, coord in enumerate(zip(l10average_idx, l2fold_idx)):\n # assert expression_bins[coord[0]-1] <= l10average[idx] < expression_bins[coord[0]]\n # assert fold_change_bins[coord[1]-1] <= l2fold[idx] < expression_bins[coord[1]]\n\n if output_counts[coord] >= max_counts_per_bin:\n continue\n\n output_counts[coord] += 1\n outf_info.write(\"spike%i\\t%f\\t%f\\n\" % (interval_id,\n l10average[idx],\n l2fold[idx]))\n\n outfile.write(\"spike%i\\t%s\\t%s\\n\" %\n (interval_id,\n \"\\t\".join(\n map(str, list(group1[idx]))),\n \"\\t\".join(map(str, list(group2[idx])))))\n interval_id += 1\n\n outf_info.close()\n\n df = pandas.DataFrame(output_counts)\n df.index = list(expression_bins) + [expression_max]\n df.columns = list(fold_change_bins) + [foldchange_max]\n\n df.to_csv(IOTools.openFile(output_filename_pattern + \"counts.tsv.gz\", \"w\"),\n sep=\"\\t\")\n\n E.info(\"output %i spike in intervals\" % interval_id)", "metadata": "root.outputSpikeIns", "header": "['module', '___EOS___']", "index": 4178 } ]

[ { "span": "r_pairs ", "start_line": 656, "start_column": 8, "end_line": 656, "end_column": 15 }, { "span": "r_pairs ", "start_line": 901, "start_column": 8, "end_line": 901, "end_column": 15 }, { "span": "r_has_pairs ", "start_line": 902, "start_column": 8, "end_line": 902, "end_column": 19 }, { "span": "r_has_replicates ", "start_line": 903, "start_column": 8, "end_line": 903, "end_column": 24 }, { "span": "r_factors_df ", "start_line": 909, "start_column": 12, "end_line": 909, "end_column": 24 }, { "span": "r_factors_df ", "start_line": 911, "start_column": 12, "end_line": 911, "end_column": 24 }, { "span": "r_ref_group ", "start_line": 914, "start_column": 12, "end_line": 914, "end_column": 23 }, { "span": "r_ref_group ", "start_line": 916, "start_column": 12, "end_line": 916, "end_column": 23 }, { "span": "data ", "start_line": 1626, "start_column": 8, "end_line": 1626, "end_column": 12 }, { "span": "result ", "start_line": 1628, "start_column": 8, "end_line": 1628, "end_column": 14 }, { "span": "isna ", "start_line": 2565, "start_column": 4, "end_line": 2565, "end_column": 8 }, { "span": "groups,", "start_line": 3205, "start_column": 4, "end_line": 3205, "end_column": 10 }, { "span": "pairs,", "start_line": 3205, "start_column": 12, "end_line": 3205, "end_column": 17 }, { "span": "has_replicates,", "start_line": 3205, "start_column": 19, "end_line": 3205, "end_column": 33 }, { "span": "has_pairs ", "start_line": 3205, "start_column": 35, "end_line": 3205, "end_column": 44 }, { "span": "nobservations,", "start_line": 4202, "start_column": 4, "end_line": 4202, "end_column": 17 }, { "span": "nsamples ", "start_line": 4202, "start_column": 19, "end_line": 4202, "end_column": 27 } ]

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[ { "content": " def __fit_precomputed_kernel(self, X, y):\n \"\"\"\n Fits an estimator of p(s=1|x) and estimates the value of p(s=1|y=1) using a subset of the training examples\n\n X -- Precomputed kernel matrix\n y -- Labels associated to each example in X (Positive label: 1.0, Negative label: -1.0)\n \"\"\"\n positives = np.where(y == 1.)[0]\n hold_out_size = np.ceil(len(positives) * self.hold_out_ratio)\n\n if len(positives) <= hold_out_size:\n raise('Not enough positive examples to estimate p(s=1|y=1,x). Need at least ' + str(hold_out_size + 1) + '.')\n \n np.random.shuffle(positives)\n hold_out = positives[:hold_out_size]\n \n #Hold out test kernel matrix\n X_test_hold_out = X[hold_out]\n keep = list(set(np.arange(len(y))) - set(hold_out))\n X_test_hold_out = X_test_hold_out[:,keep]\n \n #New training kernel matrix\n X = X[:, keep]\n X = X[keep]\n\n y = np.delete(y, hold_out)\n \n self.estimator.fit(X, y)\n \n hold_out_predictions = self.estimator.predict_proba(X_test_hold_out)\n \n try:\n hold_out_predictions = hold_out_predictions[:,1]\n except:\n pass\n \n c = np.mean(hold_out_predictions)\n self.c = c\n \n self.estimator_fitted = True", "metadata": "root.PUAdapter.__fit_precomputed_kernel", "header": "['class', 'PUAdapter', '(', 'object', ')', ':', '___EOS___']", "index": 47 }, { "content": " def __fit_no_precomputed_kernel(self, X, y):\n \"\"\"\n Fits an estimator of p(s=1|x) and estimates the value of p(s=1|y=1,x)\n\n X -- List of feature vectors\n y -- Labels associated to each feature vector in X (Positive label: 1.0, Negative label: -1.0)\n \"\"\"\n positives = np.where(y == 1.)[0]\n hold_out_size = np.ceil(len(positives) * self.hold_out_ratio)\n\n if len(positives) <= hold_out_size:\n raise('Not enough positive examples to estimate p(s=1|y=1,x). Need at least ' + str(hold_out_size + 1) + '.')\n \n np.random.shuffle(positives)\n hold_out = positives[:hold_out_size]\n X_hold_out = X[hold_out]\n X = np.delete(X, hold_out,0)\n y = np.delete(y, hold_out)\n \n self.estimator.fit(X, y)\n \n hold_out_predictions = self.estimator.predict_proba(X_hold_out)\n \n try:\n hold_out_predictions = hold_out_predictions[:,1]\n except:\n pass\n \n c = np.mean(hold_out_predictions)\n self.c = c\n\n self.estimator_fitted = True", "metadata": "root.PUAdapter.__fit_no_precomputed_kernel", "header": "['class', 'PUAdapter', '(', 'object', ')', ':', '___EOS___']", "index": 89 }, { "content": " def predict_proba(self, X):\n \"\"\"\n Predicts p(y=1|x) using the estimator and the value of p(s=1|y=1) estimated in fit(...)\n\n X -- List of feature vectors or a precomputed kernel matrix\n \"\"\"\n if not self.estimator_fitted:\n raise Exception('The estimator must be fitted before calling predict_proba(...).')\n\n probabilistic_predictions = self.estimator.predict_proba(X)\n \n try:\n probabilistic_predictions = probabilistic_predictions[:,1]\n except:\n pass\n \n return probabilistic_predictions / self.c", "metadata": "root.PUAdapter.predict_proba", "header": "['class', 'PUAdapter', '(', 'object', ')', ':', '___EOS___']", "index": 123 } ]

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[ { "content": " def call(self, xrns, creds):\n # validate the credential\n valid_creds = self.api.auth.checkCredentials(creds, 'getgids')\n # xxxpylintxxx origin_hrn is unused..\n origin_hrn = Credential(string=valid_creds[0]).get_gid_caller().get_hrn()\n \n # resolve the record\n records = self.api.manager.Resolve(self.api, xrns, details = False)\n if not records:\n raise RecordNotFound(xrns)\n\n allowed_fields = ['hrn', 'type', 'gid']\n for record in records:\n for key in record.keys():\n if key not in allowed_fields:\n del(record[key])\n return records ", "metadata": "root.GetGids.call", "header": "['class', 'GetGids', '(', 'Method', ')', ':', '___EOS___']", "index": 28 } ]

[ { "span": "origin_hrn ", "start_line": 32, "start_column": 8, "end_line": 32, "end_column": 18 } ]

[]

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[ { "content": " def __str__(self):\n out = ''\n\n func, func_name = self.get_func()\n signature = self['Signature'].replace('*', '\\*')\n\n roles = {'func': 'function',\n 'meth': 'method'}\n\n if self._role:\n if not roles.has_key(self._role):\n print \"Warning: invalid role %s\" % self._role\n out += '.. %s:: %s\\n \\n\\n' % (roles.get(self._role, ''),\n func_name)\n\n out += super(FunctionDoc, self).__str__(func_role=self._role)\n return out", "metadata": "root.FunctionDoc.__str__", "header": "['class', 'FunctionDoc', '(', 'NumpyDocString', ')', ':', '___EOS___']", "index": 449 } ]

[ { "span": "signature ", "start_line": 453, "start_column": 8, "end_line": 453, "end_column": 17 } ]

[]

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[ { "content": "import multiversion\nmultiversion.require_version('testlib', '1.0')\n\nfrom testlib import a_function\nimport testlib as mod\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 } ]

[ { "span": "from testlib import a_function", "start_line": 3, "start_column": 0, "end_line": 3, "end_column": 30 }, { "span": "import testlib as mod", "start_line": 4, "start_column": 0, "end_line": 4, "end_column": 21 } ]

[]

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[ { "content": " @classmethod\n def parser(cls, buf, offset):\n (type_, len_) = struct.unpack_from(\n ofproto.OFP_ACTION_HEADER_PACK_STR, buf, offset)\n return cls()", "metadata": "root.OFPActionDecMplsTtl.parser", "header": "['class', 'OFPActionDecMplsTtl', '(', 'OFPAction', ')', ':', '___EOS___']", "index": 4677 }, { "content": " @classmethod\n def parser(cls, buf, offset):\n (type_, len_) = struct.unpack_from(\n ofproto.OFP_ACTION_HEADER_PACK_STR, buf, offset)\n return cls()", "metadata": "root.OFPActionDecNwTtl.parser", "header": "['class', 'OFPActionDecNwTtl', '(', 'OFPAction', ')', ':', '___EOS___']", "index": 4724 }, { "content": " @classmethod\n def parser(cls, buf, offset):\n (type_, len_) = struct.unpack_from(\n ofproto.OFP_ACTION_HEADER_PACK_STR, buf, offset)\n return cls()", "metadata": "root.OFPActionCopyTtlOut.parser", "header": "['class', 'OFPActionCopyTtlOut', '(', 'OFPAction', ')', ':', '___EOS___']", "index": 4743 }, { "content": " @classmethod\n def parser(cls, buf, offset):\n (type_, len_) = struct.unpack_from(\n ofproto.OFP_ACTION_HEADER_PACK_STR, buf, offset)\n return cls()", "metadata": "root.OFPActionCopyTtlIn.parser", "header": "['class', 'OFPActionCopyTtlIn', '(', 'OFPAction', ')', ':', '___EOS___']", "index": 4762 }, { "content": " @classmethod\n def parser(cls, buf, offset):\n (type_, len_) = struct.unpack_from(\n ofproto.OFP_ACTION_HEADER_PACK_STR, buf, offset)\n return cls()", "metadata": "root.OFPActionPopVlan.parser", "header": "['class', 'OFPActionPopVlan', '(', 'OFPAction', ')', ':', '___EOS___']", "index": 4838 }, { "content": " @classmethod\n def parser(cls, buf, offset):\n (type_, len_) = struct.unpack_from(\n ofproto.OFP_ACTION_HEADER_PACK_STR, buf, offset)\n return cls()", "metadata": "root.OFPActionPopPbb.parser", "header": "['class', 'OFPActionPopPbb', '(', 'OFPAction', ')', ':', '___EOS___']", "index": 4969 } ]

[ { "span": "type_,", "start_line": 4679, "start_column": 9, "end_line": 4679, "end_column": 14 }, { "span": "len_)", "start_line": 4679, "start_column": 16, "end_line": 4679, "end_column": 20 }, { "span": "type_,", "start_line": 4726, "start_column": 9, "end_line": 4726, "end_column": 14 }, { "span": "len_)", "start_line": 4726, "start_column": 16, "end_line": 4726, "end_column": 20 }, { "span": "type_,", "start_line": 4745, "start_column": 9, "end_line": 4745, "end_column": 14 }, { "span": "len_)", "start_line": 4745, "start_column": 16, "end_line": 4745, "end_column": 20 }, { "span": "type_,", "start_line": 4764, "start_column": 9, "end_line": 4764, "end_column": 14 }, { "span": "len_)", "start_line": 4764, "start_column": 16, "end_line": 4764, "end_column": 20 }, { "span": "type_,", "start_line": 4840, "start_column": 9, "end_line": 4840, "end_column": 14 }, { "span": "len_)", "start_line": 4840, "start_column": 16, "end_line": 4840, "end_column": 20 }, { "span": "type_,", "start_line": 4971, "start_column": 9, "end_line": 4971, "end_column": 14 }, { "span": "len_)", "start_line": 4971, "start_column": 16, "end_line": 4971, "end_column": 20 } ]

[]

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[ { "content": "from redwind import util\nfrom flask import request, abort, send_file, url_for, make_response, \\\n Blueprint, escape, current_app\nfrom requests.exceptions import HTTPError\nimport datetime\nimport hashlib\nimport hmac\nimport json\nimport os\nimport shutil\nimport sys\nimport urllib.parse\n\nimageproxy = Blueprint('imageproxy', __name__)\n\n\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def construct_url(url, size=None, external=False):\n from redwind.models import get_settings\n if not url or 'PILBOX_URL' not in current_app.config:\n return url\n url = urllib.parse.urljoin(get_settings().site_url, url)\n query = [('url', url)]\n if size:\n query += [('w', size), ('h', size), ('mode', 'clip')]\n else:\n query += [('op', 'noop')]\n querystring = urllib.parse.urlencode(query)\n if 'PILBOX_KEY' in current_app.config:\n h = hmac.new(current_app.config['PILBOX_KEY'].encode(),\n querystring.encode(), hashlib.sha1)\n querystring += '&sig=' + h.hexdigest()\n proxy_url = current_app.config['PILBOX_URL'] + '?' + querystring\n if external:\n proxy_url = urllib.parse.urljoin(get_settings().site_url, proxy_url)\n return proxy_url", "metadata": "root.construct_url", "header": "['module', '___EOS___']", "index": 16 }, { "content": "@imageproxy.app_template_filter('imageproxy')\ndef imageproxy_filter(src, side=None, external=False):\n return escape(\n construct_url(src, side and str(side), external))", "metadata": "root.imageproxy_filter", "header": "['module', '___EOS___']", "index": 37 } ]

[ { "span": "from redwind import util", "start_line": 0, "start_column": 0, "end_line": 0, "end_column": 24 }, { "span": "from flask import request, abort, send_file, url_for, make_response, \\\n Blueprint, escape, current_app", "start_line": 1, "start_column": 0, "end_line": 2, "end_column": 34 }, { "span": "from requests.exceptions import HTTPError", "start_line": 3, "start_column": 0, "end_line": 3, "end_column": 41 }, { "span": "import datetime", "start_line": 4, "start_column": 0, "end_line": 4, "end_column": 15 }, { "span": "import json", "start_line": 7, "start_column": 0, "end_line": 7, "end_column": 11 }, { "span": "import os", "start_line": 8, "start_column": 0, "end_line": 8, "end_column": 9 }, { "span": "import shutil", "start_line": 9, "start_column": 0, "end_line": 9, "end_column": 13 }, { "span": "import sys", "start_line": 10, "start_column": 0, "end_line": 10, "end_column": 10 } ]

[]

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[ { "content": "\tdef testDisabledVariable( self ) :\n\n\t\tscript = Gaffer.ScriptNode()\n\n\t\tscript[\"writer\"] = GafferDispatchTest.TextWriter()\n\t\tscript[\"writer\"][\"fileName\"].setValue( self.temporaryDirectory() + \"/${name1}${name2}.txt\" )\n\n\t\tscript[\"variables\"] = GafferDispatch.TaskContextVariables()\n\t\tscript[\"variables\"][\"preTasks\"][0].setInput( script[\"writer\"][\"task\"] )\n\t\tjim = script[\"variables\"][\"variables\"].addOptionalMember( \"name1\", \"jim\", enabled = False )\n\t\tbob = script[\"variables\"][\"variables\"].addOptionalMember( \"name2\", \"bob\", enabled = True )\n\n\t\tself.__dispatcher().dispatch( [ script[\"variables\"] ] )\n\n\t\tself.assertEqual(\n\t\t\tset( glob.glob( self.temporaryDirectory() + \"/*.txt\" ) ),\n\t\t\t{\n\t\t\t\tself.temporaryDirectory() + \"/bob.txt\",\n\n\t\t\t}\n\t\t)", "metadata": "root.TaskContextVariablesTest.testDisabledVariable", "header": "['class', 'TaskContextVariablesTest', '(', 'GafferTest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 74 } ]

[ { "span": "jim ", "start_line": 83, "start_column": 2, "end_line": 83, "end_column": 5 }, { "span": "bob ", "start_line": 84, "start_column": 2, "end_line": 84, "end_column": 5 } ]

[]

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[ { "content": "# -*- coding: utf-8 -*-\nfrom __future__ import unicode_literals\n\nfrom django.db import models, migrations\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class Migration(migrations.Migration):\n\n dependencies = [\n ('videos', '0013_auto_20150130_2131'),\n ]\n\n operations = [\n migrations.AlterModelOptions(\n name='video',\n options={'ordering': ['order', '-timestamp']},\n ),\n ]", "metadata": "root.Migration", "header": "['module', '___EOS___']", "index": 6 } ]

[ { "span": "from django.db import models, migrations", "start_line": 3, "start_column": 0, "end_line": 3, "end_column": 40 } ]

[]

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[ { "content": " def test_mac_ver(self):\n res = platform.mac_ver()\n\n if platform.uname().system == 'Darwin':\n # We're on a MacOSX system, check that\n # the right version information is returned\n fd = os.popen('sw_vers', 'r')\n real_ver = None\n for ln in fd:\n if ln.startswith('ProductVersion:'):\n real_ver = ln.strip().split()[-1]\n break\n fd.close()\n self.assertFalse(real_ver is None)\n result_list = res[0].split('.')\n expect_list = real_ver.split('.')\n len_diff = len(result_list) - len(expect_list)\n # On Snow Leopard, sw_vers reports 10.6.0 as 10.6\n if len_diff > 0:\n expect_list.extend(['0'] * len_diff)\n self.assertEqual(result_list, expect_list)\n\n # res[1] claims to contain\n # (version, dev_stage, non_release_version)\n # That information is no longer available\n self.assertEqual(res[1], ('', '', ''))\n\n if sys.byteorder == 'little':\n self.assertIn(res[2], ('i386', 'x86_64'))\n else:\n self.assertEqual(res[2], 'PowerPC')", "metadata": "root.PlatformTest.test_mac_ver", "header": "['class', 'PlatformTest', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 184 } ]

[ { "span": "self.assertFalse(real_ver is None)", "start_line": 197, "start_column": 12, "end_line": 197, "end_column": 46 } ]

[]

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[ { "content": " def test_no_enforce(self):\n return\n # Test that nothing goes wrong when we don't enforce stationarity\n params = self.model.untransform_params(self.true['params'])\n params[self.model._params_transition] = (\n self.true['params'][self.model._params_transition])\n self.model.enforce_stationarity = False\n results = self.model.filter(params, transformed=False)\n self.model.enforce_stationarity = True\n assert_allclose(results.llf, self.results.llf, rtol=1e-5)", "metadata": "root.CheckDynamicFactor.test_no_enforce", "header": "['class', 'CheckDynamicFactor', '(', 'object', ')', ':', '___EOS___']", "index": 94 } ]

[ { "span": "params = self.model.untransform_params(self.true['params'])", "start_line": 97, "start_column": 8, "end_line": 97, "end_column": 67 } ]

[]

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[ { "content": "def execute(helper, config, args):\n \"\"\"\n Rebuilds an environment\n \"\"\"\n env_config = parse_env_config(config, args.environment)\n helper.rebuild_environment(args.environment)\n\n # wait\n if not args.dont_wait:\n helper.wait_for_environments(args.environment, health='Green', status='Ready')", "metadata": "root.execute", "header": "['module', '___EOS___']", "index": 10 } ]

[ { "span": "env_config ", "start_line": 14, "start_column": 4, "end_line": 14, "end_column": 14 } ]

[]

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[ { "content": "from twisted.python import log, logfile, util\n\nimport logging\n\nlogLevel = {logging.DEBUG: 'DEBUG',\n logging.ERROR: 'ERROR',\n logging.INFO: 'INFO',\n logging.WARN: 'WARN',\n logging.CRITICAL: 'CRITICAL'}\n\nimport sys\n\n\n \n\n \n \n \n\ncrit = err\nwarn = err\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class NodeSetLog(logfile.DailyLogFile):\n \"\"\" Special class for log rotation, always return True on shouldRotate(),\n on SIGUSR1, handler checks shouldRotate() value\n \"\"\"\n ", "metadata": "root.NodeSetLog", "header": "['module', '___EOS___']", "index": 12 }, { "content": " def __init__(self, *args, **kwargs):\n logfile.DailyLogFile.__init__(self, *args, **kwargs)", "metadata": "root.NodeSetLog.__init__", "header": "['class', 'NodeSetLog', '(', 'logfile', '.', 'DailyLogFile', ')', ':', '___EOS___']", "index": 16 }, { "content": " def shouldRotate(self):\n return True", "metadata": "root.NodeSetLog.shouldRotate", "header": "['class', 'NodeSetLog', '(', 'logfile', '.', 'DailyLogFile', ')', ':', '___EOS___']", "index": 19 }, { "content": "class NodeSetLogObserver(log.FileLogObserver):\n \n ", "metadata": "root.NodeSetLogObserver", "header": "['module', '___EOS___']", "index": 23 }, { "content": " def __init__(self, f, level):\n log.FileLogObserver.__init__(self, f)\n\n self.level = level", "metadata": "root.NodeSetLogObserver.__init__", "header": "['class', 'NodeSetLogObserver', '(', 'log', '.', 'FileLogObserver', ')', ':', '___EOS___']", "index": 25 }, { "content": " def emit(self, eventDict):\n text = log.textFromEventDict(eventDict)\n \n if text is None:\n return\n \n if not eventDict.has_key('logLevel'):\n eventDict['logLevel'] = 'INFO'\n elif logLevel.has_key(eventDict['logLevel']):\n if eventDict['logLevel'] < self.level:\n return\n \n eventDict['logLevel'] = logLevel[eventDict['logLevel']]\n \n timeStr = self.formatTime(eventDict['time'])\n fmtDict = {'system': eventDict['system'], 'text': text.replace(\"\\n\", \"\\n\\t\"),\n 'logLevel': eventDict['logLevel']}\n msgStr = log._safeFormat(\"[%(logLevel)s] [%(system)s] %(text)s\\n\", fmtDict)\n\n util.untilConcludes(self.write, timeStr + \" \" + msgStr)\n util.untilConcludes(self.flush) # Hoorj!", "metadata": "root.NodeSetLogObserver.emit", "header": "['class', 'NodeSetLogObserver', '(', 'log', '.', 'FileLogObserver', ')', ':', '___EOS___']", "index": 30 }, { "content": "class NodeSetLogStdout(NodeSetLogObserver):\n ", "metadata": "root.NodeSetLogStdout", "header": "['module', '___EOS___']", "index": 52 }, { "content": " def emit(self, eventDict):\n text = log.textFromEventDict(eventDict)\n \n lvl = eventDict.get('logLevel')\n \n if lvl:\n if lvl < self.level:\n return\n else:\n eventDict['logLevel'] = logLevel[eventDict['logLevel']]\n else:\n eventDict['logLevel'] = 'INFO'\n\n timeStr = self.formatTime(eventDict['time'])\n \n if eventDict['system'] == '-':\n eventDict['text'] = text\n \n self.write(timeStr + \" %(logLevel)s %(text)s\\n\" % eventDict)\n self.flush()", "metadata": "root.NodeSetLogStdout.emit", "header": "['class', 'NodeSetLogStdout', '(', 'NodeSetLogObserver', ')', ':', '___EOS___']", "index": 54 }, { "content": "def _get_instance():\n try:\n import sys\n f = sys._getframe(2)\n \n r = f.f_locals['self']\n c = f.f_code.co_name\n #l = f.f_code.co_firstlineno\n return \"%s.%s\" % (r.__class__.__name__, c)\n #return '%s@%s' % (r.__class__.__name__, hex(id(r)))\n except KeyError, e:\n return '-'", "metadata": "root._get_instance", "header": "['module', '___EOS___']", "index": 75 }, { "content": "def msg(message, *args, **kwargs):\n \n instance = _get_instance()\n \n log.callWithContext({'system': instance}, log.msg, message, *args, \n **kwargs)", "metadata": "root.msg", "header": "['module', '___EOS___']", "index": 88 }, { "content": "def err(_stuff=None, _why=None, loglevel=logging.ERROR, **kw):\n instance = _get_instance()\n \n log.err(_stuff, _why, system=instance, logLevel=loglevel, **kw)", "metadata": "root.err", "header": "['module', '___EOS___']", "index": 95 } ]

[ { "span": "import sys", "start_line": 10, "start_column": 0, "end_line": 10, "end_column": 10 } ]

[]

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[ { "content": " def test_hi_level_transaction(self):\n\n factory = pyorient.OrientDB('localhost', 2424)\n\n factory.get_message( pyorient.CONNECT ).prepare( (\"root\", \"root\") )\\\n .send().fetch_response()\n\n db_name = 'test_transactions'\n\n exists = factory.get_message( pyorient.DB_EXIST )\\\n .prepare( [db_name, pyorient.STORAGE_TYPE_MEMORY] )\\\n .send().fetch_response()\n\n print(\"Before %r\" % exists)\n try:\n ( factory.get_message( pyorient.DB_DROP ) ).prepare([db_name]) \\\n .send().fetch_response()\n assert True\n except pyorient.PyOrientCommandException as e:\n print(str(e))\n finally:\n ( factory.get_message( pyorient.DB_CREATE ) ).prepare(\n (db_name, pyorient.DB_TYPE_GRAPH, pyorient.STORAGE_TYPE_MEMORY)\n ).send().fetch_response()\n\n msg = factory.get_message( pyorient.DB_OPEN )\n cluster_info = msg.prepare(\n (db_name, \"admin\", \"admin\", pyorient.DB_TYPE_GRAPH, \"\")\n ).send().fetch_response()\n\n #######################################\n\n # execute real create\n rec = { 'alloggio': 'baita', 'lavoro': 'no', 'vacanza': 'lago' }\n rec_position = ( factory.get_message(pyorient.RECORD_CREATE) )\\\n .prepare( ( 3, rec ) )\\\n .send().fetch_response()\n\n # prepare for an update\n rec3 = { 'alloggio': 'albergo', 'lavoro': 'ufficio', 'vacanza': 'montagna' }\n update_success = ( factory.get_message(pyorient.RECORD_UPDATE) )\\\n .prepare( ( 3, rec_position._rid, rec3, rec_position._version ) )\n\n # prepare transaction\n rec1 = { 'alloggio': 'casa', 'lavoro': 'ufficio', 'vacanza': 'mare' }\n rec_position1 = ( factory.get_message(pyorient.RECORD_CREATE) )\\\n .prepare( ( -1, rec1 ) )\n\n rec2 = { 'alloggio': 'baita', 'lavoro': 'no', 'vacanza': 'lago' }\n rec_position2 = ( factory.get_message(pyorient.RECORD_CREATE) )\\\n .prepare( ( -1, rec2 ) )\n\n\n # create another real record\n rec = { 'alloggio': 'baita', 'lavoro': 'no', 'vacanza': 'lago' }\n rec_position = ( factory.get_message(pyorient.RECORD_CREATE) )\\\n .prepare( ( 3, rec ) )\\\n .send().fetch_response()\n\n delete_msg = ( factory.get_message(pyorient.RECORD_DELETE) )\n delete_msg.prepare( ( 3, rec_position._rid ) )\n\n\n tx = ( factory.get_message(pyorient.TX_COMMIT) )\n tx.begin()\n tx.attach( rec_position1 )\n tx.attach( rec_position1 )\n tx.attach( rec_position2 )\n tx.attach( update_success )\n tx.attach( delete_msg )\n res = tx.commit()\n\n for k, v in res.items():\n print(k + \" -> \" + v.vacanza)\n\n assert len(res) == 4\n assert res[\"#3:0\"].vacanza == 'montagna'\n assert res[\"#3:2\"].vacanza == 'mare'\n assert res[\"#3:3\"].vacanza == 'mare'\n assert res[\"#3:4\"].vacanza == 'lago'\n\n sid = ( factory.get_message(pyorient.CONNECT) ).prepare( (\"root\", \"root\") )\\\n .send().fetch_response()\n\n ( factory.get_message(pyorient.DB_DROP) ).prepare(\n [db_name, pyorient.STORAGE_TYPE_MEMORY ]) \\\n .send().fetch_response()", "metadata": "root.CommandTestCase.test_hi_level_transaction", "header": "['class', 'CommandTestCase', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 97 }, { "content": " def test_command(self):\n\n connection = pyorient.OrientSocket( \"localhost\", 2424 )\n\n factory = pyorient.OrientDB(connection)\n\n session_id = ( factory.get_message(pyorient.CONNECT) ).prepare( (\"root\", \"root\") )\\\n .send().fetch_response()\n\n db_name = \"tmp_test1\"\n\n try:\n # at the end drop the test database\n ( factory.get_message(pyorient.DB_DROP) ).prepare([db_name, pyorient.STORAGE_TYPE_MEMORY]) \\\n .send().fetch_response()\n\n except pyorient.PyOrientCommandException as e:\n print(str(e))\n finally:\n ( factory.get_message(pyorient.DB_CREATE) ).prepare(\n (db_name, pyorient.DB_TYPE_GRAPH, pyorient.STORAGE_TYPE_MEMORY)\n ).send().fetch_response()\n\n # open as serialize2binary\n msg = factory.get_message(pyorient.DB_OPEN)\n cluster_info = msg.prepare(\n (db_name, \"admin\", \"admin\", pyorient.DB_TYPE_DOCUMENT, \"\", pyorient.OrientSerialization.CSV)\n ).send().fetch_response()\n\n # ##################\n\n create_class = factory.get_message(pyorient.COMMAND)\n ins_msg1 = factory.get_message(pyorient.COMMAND)\n ins_msg2 = factory.get_message(pyorient.COMMAND)\n ins_msg3 = factory.get_message(pyorient.COMMAND)\n ins_msg4 = factory.get_message(pyorient.COMMAND)\n upd_msg5 = factory.get_message(pyorient.RECORD_UPDATE)\n\n req_msg = factory.get_message(pyorient.COMMAND)\n\n create_class.prepare( ( pyorient.QUERY_CMD, \"create class c_test extends V\" ) )\n ins_msg1.prepare( ( pyorient.QUERY_CMD, \"insert into c_test ( Band, Song ) values( 'AC/DC', 'Hells Bells' )\") )\n ins_msg2.prepare( ( pyorient.QUERY_CMD, \"insert into c_test ( Band, Song ) values( 'AC/DC', 'Who Made Who' )\") )\n ins_msg3.prepare( ( pyorient.QUERY_CMD, \"insert into c_test ( Band, Song ) values( 'AC/DC', 'T.N.T.' )\") )\n ins_msg4.prepare( ( pyorient.QUERY_CMD, \"insert into c_test ( Band, Song ) values( 'AC/DC', 'High Voltage' )\") )\n\n\n cluster = create_class.send().fetch_response()\n rec1 = ins_msg1.send().fetch_response()\n rec2 = ins_msg2.send().fetch_response()\n rec3 = ins_msg3.send().fetch_response()\n rec4 = ins_msg4.send().fetch_response()\n\n rec1 = rec1[0]\n upd_res = upd_msg5.prepare( ( rec1._rid, rec1._rid, { 'Band': 'Metallica', 'Song': 'One' } ) )\\\n .send().fetch_response()\n\n res = req_msg.prepare( [ pyorient.QUERY_SYNC, \"select from c_test\" ] ).send().fetch_response()\n\n assert isinstance(cluster, list)\n assert rec1._rid == res[0]._rid\n assert rec1._version != res[0]._version\n assert res[0]._version == upd_res[0]._version\n\n assert len(res) == 4\n assert res[0]._rid == '#11:0'\n assert res[0].Band == 'Metallica'\n assert res[0].Song == 'One'\n\n assert res[3].Song == 'High Voltage'\n\n # for x in res:\n # print(\"############\"\n # print(\"%r\" % x._rid\n # print(\"%r\" % x._class\n # print(\"%r\" % x._version\n # print(\"%r\" % x.Band\n # print(\"%r\" % x.Song\n\n\n # classes are allowed in record create/update/load\n rec = { '@c_test': { 'alloggio': 'casa', 'lavoro': 'ufficio', 'vacanza': 'mare' } }\n rec_position = ( factory.get_message(pyorient.RECORD_CREATE) )\\\n .prepare( ( cluster[0], rec ) )\\\n .send().fetch_response()\n\n print(\"New Rec Position: %s\" % rec_position._rid)\n assert rec_position._rid is not None\n\n rec = { '@c_test': { 'alloggio': 'albergo', 'lavoro': 'ufficio', 'vacanza': 'montagna' } }\n update_success = ( factory.get_message(pyorient.RECORD_UPDATE) )\\\n .prepare( ( rec_position._rid, rec_position._rid, rec ) )\\\n .send().fetch_response()\n\n\n req_msg = factory.get_message(pyorient.RECORD_LOAD)\n res = req_msg.prepare( [ rec_position._rid, \"*:-1\" ] ) \\\n .send().fetch_response()\n\n # print(res)\n # print(res._rid)\n # print(res._class)\n # print(res._version)\n # print(res.alloggio)\n # print(res.lavoro)\n # print(res.vacanza)\n\n assert res._rid == \"#11:4\"\n assert res._class == \"c_test\"\n assert res.alloggio == 'albergo'\n assert not hasattr( res, 'Band')\n assert not hasattr( res, 'Song')\n\n # print(\"\"\n # # at the end drop the test database\n # ( DbDropMessage( connection ) ).prepare([db_name, STORAGE_TYPE_MEMORY]) \\\n # .send().fetch_response()", "metadata": "root.CommandTestCase.test_command", "header": "['class', 'CommandTestCase', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 185 } ]

[ { "span": "cluster_info ", "start_line": 123, "start_column": 8, "end_line": 123, "end_column": 20 }, { "span": "sid ", "start_line": 178, "start_column": 8, "end_line": 178, "end_column": 11 }, { "span": "session_id ", "start_line": 191, "start_column": 8, "end_line": 191, "end_column": 18 }, { "span": "cluster_info ", "start_line": 210, "start_column": 8, "end_line": 210, "end_column": 20 }, { "span": "rec2 ", "start_line": 234, "start_column": 8, "end_line": 234, "end_column": 12 }, { "span": "rec3 ", "start_line": 235, "start_column": 8, "end_line": 235, "end_column": 12 }, { "span": "rec4 ", "start_line": 236, "start_column": 8, "end_line": 236, "end_column": 12 }, { "span": "update_success ", "start_line": 275, "start_column": 8, "end_line": 275, "end_column": 22 } ]

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[ { "content": "def render(template_name, template_vars={}, template_set='site', template_theme=None, template_extension='html', template_content=None):\n \"\"\"Given a template path, a template name and template variables\n will return rendered content using jinja2 library\n \n :param template_path: Path to template directory\n :param template_name: Name of template\n :param vars: (Optional) Template variables\n \"\"\"\n global _jinja_env\n \n if not _jinja_env:\n raise 'Jinja env not setup'\n\n try:\n _jinja_env.filters['timesince'] = timesince\n _jinja_env.filters['timeuntil'] = timeuntil\n _jinja_env.filters['date'] = date_format\n _jinja_env.filters['time'] = time_format\n _jinja_env.filters['shortdate'] = short_date\n _jinja_env.filters['isodate'] = iso_date\n _jinja_env.filters['rfcdate'] = rfc2822_date\n _jinja_env.filters['tformat'] = datetimeformat\n _jinja_env.filters['timestamp'] = timestamp\n except NameError as errstr:\n logging.info('Helper import error: %s' % errstr)\n\n _template_name = \"%s.%s\" % (template_name, template_extension)\n template = _jinja_env.get_template(_template_name, parent=template_theme)\n \n return template.render(template_vars)", "metadata": "root.render", "header": "['module', '___EOS___']", "index": 209 } ]

[ { "span": "raise 'Jinja env not setup'", "start_line": 220, "start_column": 4, "end_line": 220, "end_column": 31 } ]

[]

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[ { "content": " def test_post(self):\n text = u'awesome'\n post, meta = self.api.create_post(data={'text': text})\n self.assertEquals(post.text, text)\n\n post, meta = self.api.get_post(post)\n\n post, meta = self.api.delete_post(post)\n post, meta = self.api.create_post(data={'text': text})\n post, meta = post.delete()\n\n post, meta = self.api.repost_post(14265380)\n post, meta = self.api.unrepost_post(14265380)\n\n post, meta = self.api.star_post(14265380)\n post, meta = self.api.unstar_post(14265380)\n\n posts, meta = self.api.get_posts(ids='1,2,3')\n self.assertEquals(len(posts), 3)\n\n posts, meta = self.api.users_posts(3)\n\n posts, meta = self.api.users_starred_posts(3)\n posts, meta = self.api.users_mentioned_posts(3)\n\n posts, meta = self.api.posts_with_hashtag('awesome')\n\n posts, meta = self.api.posts_with_hashtag(1)\n\n posts, meta = self.api.users_post_stream()\n posts, meta = self.api.users_post_stream_unified()\n\n posts, meta = self.api.posts_stream_global()\n\n # post, meta = self.api.report_post(1)\n\n posts, meta = self.api.post_search(text='awesome')", "metadata": "root.AdnpyAPITests.test_post", "header": "['class', 'AdnpyAPITests', '(', 'AdnpyTestCase', ')', ':', '___EOS___']", "index": 18 }, { "content": " def test_user(self):\n display_name = u'tester %s' % (time.time())\n user, meta = self.api.get_user('me')\n self.assertEquals(self.username, user.username)\n old_name = user.name\n user.name = display_name\n cwd = os.path.dirname(__file__)\n del user.description['entities']\n user, meta = self.api.update_user('me', data=user)\n self.assertEquals(display_name, user.name)\n\n user, meta = self.api.patch_user('me', data={'name': old_name})\n self.assertEquals(old_name, user.name)\n\n users, meta = self.api.get_users(ids='1,2,3')\n self.assertEquals(len(users), 3)\n\n # XXX: Need to figure out how I can record, and replay these calls, but they work\n\n with open(cwd + '/data/avatar.png') as avatar:\n user, meta = self.api.update_avatar('me', files={'avatar': avatar})\n\n with open(cwd + '/data/cover.png') as cover:\n user, meta = self.api.update_cover('me', files={'cover': cover})\n\n user, meta = self.api.follow_user(3)\n user, meta = self.api.unfollow_user(3)\n\n user, meta = self.api.mute_user(3)\n user, meta = self.api.unmute_user(3)\n\n user, meta = self.api.block_user(3)\n user, meta = self.api.unblock_user(3)\n\n users, meta = self.api.user_search(q='@voidfiles')\n\n users, meta = self.api.users_following(3)\n users, meta = self.api.users_followers(3)\n\n users, meta = self.api.users_following_ids(3)\n users, meta = self.api.users_followers_ids(3)\n\n users, meta = self.api.users_muted_users('me')\n users, meta = self.api.users_muted_users_ids('me')\n\n users, meta = self.api.users_blocked_users('me')\n\n # Add in testing for app access tokens\n #users, meta = self.api.users_blocked_user_ids('me')\n\n users, meta = self.api.users_reposted_post(1)\n users, meta = self.api.users_starred_post(1)", "metadata": "root.AdnpyAPITests.test_user", "header": "['class', 'AdnpyAPITests', '(', 'AdnpyTestCase', ')', ':', '___EOS___']", "index": 56 }, { "content": " def test_channel(self):\n\n channels, meta = self.api.subscribed_channels()\n\n channel, meta = self.api.create_channel(data={\n 'type': 'com.example.channel',\n 'writers': {\n 'user_ids': ['@voidfiles'],\n 'immutable': False,\n }\n })\n\n channel_fetched, meta = self.api.get_channel(channel)\n self.assertEquals(channel.id, channel_fetched.id)\n\n channels, meta = self.api.get_channels(ids=channel_fetched.id)\n\n channels, meta = self.api.users_channels()\n\n num_unread, meta = self.api.num_unread_pm_channels()\n\n channel_update = {\n 'id': channel.id,\n 'writers': {\n 'user_ids': [],\n }\n }\n\n channel, meta = self.api.update_channel(channel, data=channel_update)\n self.assertEquals(channel_update['writers']['user_ids'], channel.writers.user_ids)\n\n channel, meta = self.api.subscribe_channel(1383)\n channel, meta = self.api.unsubscribe_channel(1383)\n\n users, meta = self.api.subscribed_users(1383)\n users, meta = self.api.subscribed_user_ids(1383)\n\n channel_user_ids, meta = self.api.subscribed_user_ids_for_channels(ids='1383,6313')\n\n channel, meta = self.api.mute_channel(1383)\n channels, meta = self.api.muted_channels(1383)\n channel, meta = self.api.unmute_channel(1383)", "metadata": "root.AdnpyAPITests.test_channel", "header": "['class', 'AdnpyAPITests', '(', 'AdnpyTestCase', ')', ':', '___EOS___']", "index": 109 }, { "content": " def test_message(self):\n\n message1, meta = self.api.create_message(27024, data={'text': \"awesome 1\"})\n message2, meta = self.api.create_message(27024, data={'text': \"awesome 2\"})\n message, meta = self.api.get_message(27024, message1)\n messages, meta = self.api.get_messages(ids='%s, %s' % (message1.id, message2.id))\n messages, meta = self.api.users_messages()\n messages, meta = self.api.get_channel_messages(27024)\n\n message, meta = self.api.delete_message(27024, message1)\n message, meta = self.api.delete_message(27024, message2)", "metadata": "root.AdnpyAPITests.test_message", "header": "['class', 'AdnpyAPITests', '(', 'AdnpyTestCase', ')', ':', '___EOS___']", "index": 152 }, { "content": " def test_stream_filters(self):\n # Reset\n stream_filters, meta = self.api.delete_all_filters()\n\n filter_def = {\n \"clauses\": [\n {\n \"field\": \"/data/entities/hashtags/*/name\",\n \"object_type\": \"post\",\n \"operator\": \"matches\",\n \"value\": \"rollout\"\n }\n ],\n \"id\": \"1\",\n \"match_policy\": \"include_any\",\n \"name\": \"Posts about rollouts\"\n }\n\n stream_filter, meta = self.api.create_filter(data=filter_def)\n stream_filter, meta = self.api.get_filter(stream_filter)\n filter_def['clauses'] += [{\n \"field\": \"/data/entities/hashtags/*/name\",\n \"object_type\": \"post\",\n \"operator\": \"matches\",\n \"value\": \"bug\"\n }]\n\n stream_filter, meta = self.api.update_filter(stream_filter, data=filter_def)\n self.assertEquals(len(stream_filter.clauses), 2)\n stream_filter, meta = self.api.delete_filter(stream_filter)\n stream_filter, meta = self.api.create_filter(data=filter_def)\n filter_def['id'] = '2'\n stream_filter, meta = self.api.create_filter(data=filter_def)\n stream_filters, meta = self.api.get_filters()\n self.assertEquals(len(stream_filters), 2)\n stream_filters, meta = self.api.delete_all_filters()\n stream_filters, meta = self.api.get_filters()\n self.assertEquals(len(stream_filters), 0)", "metadata": "root.AdnpyAPITests.test_stream_filters", "header": "['class', 'AdnpyAPITests', '(', 'AdnpyTestCase', ')', ':', '___EOS___']", "index": 225 }, { "content": " def test_app_stream(self):\n app_access_token, token = get_app_access_token(self.client_id, self.client_secret)\n self.api.add_authorization_token(app_access_token)\n # Reset\n self.api.delete_all_streams()\n\n stream_def = {\n \"object_types\": [\n \"post\"\n ],\n \"type\": \"long_poll\",\n \"key\": \"rollout_stream\"\n }\n\n app_stream, meta = self.api.create_stream(data=stream_def)\n app_stream, meta = self.api.get_stream(app_stream)\n\n stream_def['object_types'] += [\"star\"]\n\n app_stream, meta = self.api.update_stream(app_stream, data=stream_def)\n self.assertEquals(len(app_stream.object_types), 2)\n app_stream, meta = self.api.delete_stream(app_stream)\n app_stream, meta = self.api.create_stream(data=stream_def)\n stream_def['key'] = \"rollout_stream_2\"\n app_stream, meta = self.api.create_stream(data=stream_def)\n app_streams, meta = self.api.get_streams()\n self.assertEquals(len(app_streams), 2)\n app_streams, meta = self.api.delete_all_streams()\n app_streams, meta = self.api.get_streams()\n self.assertEquals(len(app_streams), 0)", "metadata": "root.AdnpyAPITests.test_app_stream", "header": "['class', 'AdnpyAPITests', '(', 'AdnpyTestCase', ')', ':', '___EOS___']", "index": 264 } ]

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[ { "content": " def movie(self,\n filename, # the video file to play (preferably a relative path)\n block=False, # optionally wait until the movie has finished playing before returning from this function \n # optional parameters:\n pos=None, # the (x,z) or (x,y,z) position of the video on the screen; this may be a 3-tuple of floats; y should be zero\n hpr=None, # the (heading,pitch,roll) angles of the video; if this is a single number, it will be taken as the roll angle\n scale=None, # scaling of the video area; this may be a single float, an (x,z) value, or an (x,y,z) value; note that one of \n # the scale axes is shrunken according to the value of the \"aspect\" property (which is auto-deduced unless manually overridden)\n color=None, # the (r,g,b,a) coloring of the video\n parent=None, # parent rendering context or Panda3d NodePath\n volume=0.1, # the volume of the sound (between 0 and 1)\n direction=0.0, # the balance; may be a number between -1 (hard left) and 1 (hard right)\n timeoffset=0.0, # time offset into the file\n playrate=1.0, # the playback rate of the movie (changes pitch & duration)\n looping=False, # whether the video should be looping; can be turned off by calling .stop() on the return value of this function \n loopcount=None, # optionally the number of repeats if looping\n aspect=None, # aspect ratio of the video (auto-deduced if None); example: for 16:9 this would be 16.0/9.0 \n # the smaller axis of the video area is automatically shrunken based on this number\n pixelscale=False, # if this is True, aspect will be ignored and the image will be scaled according to the pixels in the image\n # for this you need to pass as parent a randerer that uses a pixel coordinate system (such as pixel2d)\n contentoffset=(0,0), # [u,v] offset of the movie content within the viewport/texture\n contentscale=None, # [u,v] scale of the movie content within the viewport/texture -- if None this is automatically deduced based on the\n # texture size and the size of the video content within the texture (note that it can be tricky to get this right due \n # to possible padding introduced when the movie is loaded)\n bordercolor=(0,0,0,0), # the border color of the movie texture (only visible when the contentoffset and contentscale are used\n ):\n \"\"\"Play a movie. Note: Sound for movies only works with OpenAL (rather than FMOD) -- see documentation at http://www.panda3d.org/manual/index.php/Sound on how to select it.\"\"\"\n\n # load the sound track if there is one\n try:\n snd = self._engine.base.loader.loadSfx(filename)\n if snd.length() == 0.0:\n snd = None\n except:\n snd = None\n # ... and set basic sound properties\n if snd is not None:\n self._to_destroy.append(snd)\n snd.setVolume(volume)\n snd.setBalance(direction)\n\n # create the video texture and set basic properties\n tex = self._engine.base.loader.loadTexture(filename)\n self._to_destroy.append(tex)\n tex.setBorderColor((bordercolor[0],bordercolor[1],bordercolor[2],bordercolor[3]))\n tex.setWrapU(self._engine.pandac.Texture.WMBorderColor)\n tex.setWrapV(self._engine.pandac.Texture.WMBorderColor)\n if snd is not None:\n tex.synchronizeTo(snd)\n\n # apply custom playback options and deduce the actual length\n if snd is not None:\n length = snd.length()\n playable = snd\n else:\n length = tex.getTime()\n playable = tex\n if playrate != 1.0:\n playable.setPlayRate(playrate)\n length /= playrate\n if loopcount is not None:\n playable.setLoopCount(loopcount)\n length = length*loopcount\n playable.setLoop(looping)\n if looping:\n length = 10000000\n if timeoffset > 0.0:\n playable.setTime(timeoffset)\n length -= timeoffset\n\n # deduce the aspect ratio\n if aspect is None:\n aspect = tex.getVideoWidth() / float(tex.getVideoHeight())\n # deduce the content scale based on the padding in the video \n if contentscale is None:\n contentscale = (float(tex.getVideoWidth()) / tex.getXSize(), float(tex.getVideoHeight()) / tex.getYSize())\n # deduce the scale of the image\n if scale is None:\n scale = 1.0\n if type(scale) in (int,float):\n scale = [scale,scale]\n if len(scale) == 2:\n scale = (scale[0],1,scale[1])\n if pixelscale or parent == pixel2d:\n scale[0] *= tex.getVideoWidth()\n scale[2] *= tex.getVideoHeight()\n else:\n if aspect >= 1.0:\n scale[2] /= float(aspect)\n else:\n scale[0] *= float(aspect)\n \n # deduce position and rotation\n if pos is not None and type(pos) not in (int,float) and len(pos) == 2:\n pos = (pos[0],0,pos[1])\n if hpr is not None and type(scale) not in (int,float) and len(hpr) == 1:\n hpr = (0,0,hpr)\n \n # create the image and set up content parameters\n img = self._engine.direct.gui.OnscreenImage.OnscreenImage(image=tex,pos=pos,hpr=hpr,scale=scale,color=color,parent=parent)\n self._to_destroy.append(img)\n img.setTransparency(self._engine.pandac.TransparencyAttrib.MAlpha)\n img.setTexScale(self._engine.pandac.TextureStage.getDefault(),contentscale[0],contentscale[1])\n img.setTexOffset(self._engine.pandac.TextureStage.getDefault(),contentoffset[0],contentoffset[1])\n\n # start playback and assure its destruction\n playable.play()\n if self.implicit_markers:\n self.marker(244) \n if block:\n self.sleep(length)\n self._destroy_object(img, 245)\n else:\n self._engine.base.taskMgr.doMethodLater(length, self._destroy_object, 'ConvenienceFunctions, remove_movie', extraArgs=[[img,tex,snd],245])\n return playable", "metadata": "root.BasicStimuli.movie", "header": "['class', 'BasicStimuli', ':', '___EOS___']", "index": 305 }, { "content": " def precache_movie(self,filename):\n \"\"\"Pre-cache a movie file.\"\"\"\n if filename is None:\n return\n try:\n self._engine.base.loader.loadTexture(filename)\n except:\n pass\n try:\n return self._engine.base.loader.loadSfx(filename)\n except:\n pass", "metadata": "root.BasicStimuli.precache_movie", "header": "['class', 'BasicStimuli', ':', '___EOS___']", "index": 440 }, { "content": " def uncache_movie(self,filename):\n \"\"\"Un-cache a previously cached movie file.\"\"\"\n if filename is None:\n return\n try:\n h = self._engine.base.loader.loadTexture(filename)\n self._engine.base.loader.unloadTexture(h)\n except:\n pass\n try:\n h = self._engine.base.loader.loadSfx(filename)\n self._engine.base.loader.unloadSfx(h)\n except:\n pass", "metadata": "root.BasicStimuli.uncache_movie", "header": "['class', 'BasicStimuli', ':', '___EOS___']", "index": 471 }, { "content": " def _destroy_object(self,obj,id=-1):\n \"\"\"Internal helper to automatically destroy a stimulus object.\"\"\"\n try:\n if id > 0 and self.implicit_markers:\n self.marker(id)\n if not (type(obj) == list or type(obj) == tuple):\n obj = [obj]\n \n for o in obj:\n if o is not None:\n if hasattr(o,'destroy'):\n o.destroy()\n elif hasattr(o,'stop'):\n o.stop()\n else:\n del o\n # remove from cancel list\n self._to_destroy.remove(o)\n except:\n pass", "metadata": "root.BasicStimuli._destroy_object", "header": "['class', 'BasicStimuli', ':', '___EOS___']", "index": 513 } ]

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2, 2, 2, 2, 2, 2, 2, 2, 2, 0, 1, 1, 1, 1, 2, 2, 2, 2 ]

[ { "content": "def main():\n t0 = time.time()\n now = time.time()\n fses = list(fsegen(ref=now, N_per_cat=5*10**4, max_timecount=9))\n shuffle(fses)\n nbr_fses = len(fses)\n n = 8\n rules = {\n \"years\": n,\n \"months\": n,\n \"weeks\": n,\n \"days\": n,\n \"hours\": n,\n \"recent\": n\n }\n sduration = time.time() - t0\n log.info(\"Setup duration: %.3f s\", sduration)\n log.info(\"Profiling...\")\n pr = cProfile.Profile()\n pr.enable()\n a, r = TimeFilter(rules, now).filter(fses)\n pr.disable()\n s = StringIO.StringIO()\n ps = pstats.Stats(pr, stream=s).sort_stats('time')\n ps.print_stats(20)\n print s.getvalue()", "metadata": "root.main", "header": "['module', '___EOS___']", "index": 21 } ]

[ { "span": "nbr_fses ", "start_line": 26, "start_column": 4, "end_line": 26, "end_column": 12 }, { "span": "a,", "start_line": 41, "start_column": 4, "end_line": 41, "end_column": 5 }, { "span": "r ", "start_line": 41, "start_column": 7, "end_line": 41, "end_column": 8 } ]

[]

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[ { "content": " def exportChildren(self, lwrite, level, namespace_='WinKernelObj:', name_='SSDTEntryListType', fromsubclass_=False, pretty_print=True):\n if pretty_print:\n eol_ = '\\n'\n else:\n eol_ = ''\n for SSDT_Entry_ in self.SSDT_Entry:\n SSDT_Entry_.export(lwrite, level, 'WinKernelObj:', name_='SSDT_Entry', pretty_print=pretty_print)", "metadata": "root.SSDTEntryListType.exportChildren", "header": "['class', 'SSDTEntryListType', '(', 'GeneratedsSuper', ')', ':', '___EOS___']", "index": 55 }, { "content": " def exportChildren(self, lwrite, level, namespace_='WinKernelObj:', name_='SSDTEntryType', fromsubclass_=False, pretty_print=True):\n if pretty_print:\n eol_ = '\\n'\n else:\n eol_ = ''\n if self.Service_Table_Base is not None:\n self.Service_Table_Base.export(lwrite, level, 'WinKernelObj:', name_='Service_Table_Base', pretty_print=pretty_print)\n if self.Service_Counter_Table_Base is not None:\n self.Service_Counter_Table_Base.export(lwrite, level, 'WinKernelObj:', name_='Service_Counter_Table_Base', pretty_print=pretty_print)\n if self.Number_Of_Services is not None:\n self.Number_Of_Services.export(lwrite, level, 'WinKernelObj:', name_='Number_Of_Services', pretty_print=pretty_print)\n if self.Argument_Table_Base is not None:\n self.Argument_Table_Base.export(lwrite, level, 'WinKernelObj:', name_='Argument_Table_Base', pretty_print=pretty_print)", "metadata": "root.SSDTEntryType.exportChildren", "header": "['class', 'SSDTEntryType', '(', 'GeneratedsSuper', ')', ':', '___EOS___']", "index": 142 }, { "content": " def exportChildren(self, lwrite, level, namespace_='WinKernelObj:', name_='IDTEntryListType', fromsubclass_=False, pretty_print=True):\n if pretty_print:\n eol_ = '\\n'\n else:\n eol_ = ''\n for IDT_Entry_ in self.IDT_Entry:\n IDT_Entry_.export(lwrite, level, 'WinKernelObj:', name_='IDT_Entry', pretty_print=pretty_print)", "metadata": "root.IDTEntryListType.exportChildren", "header": "['class', 'IDTEntryListType', '(', 'GeneratedsSuper', ')', ':', '___EOS___']", "index": 239 }, { "content": " def exportChildren(self, lwrite, level, namespace_='WinKernelObj:', name_='IDTEntryType', fromsubclass_=False, pretty_print=True):\n if pretty_print:\n eol_ = '\\n'\n else:\n eol_ = ''\n if self.Type_Attr is not None:\n self.Type_Attr.export(lwrite, level, 'WinKernelObj:', name_='Type_Attr', pretty_print=pretty_print)\n if self.Offset_High is not None:\n self.Offset_High.export(lwrite, level, 'WinKernelObj:', name_='Offset_High', pretty_print=pretty_print)\n if self.Offset_Low is not None:\n self.Offset_Low.export(lwrite, level, 'WinKernelObj:', name_='Offset_Low', pretty_print=pretty_print)\n if self.Offset_Middle is not None:\n self.Offset_Middle.export(lwrite, level, 'WinKernelObj:', name_='Offset_Middle', pretty_print=pretty_print)\n if self.Selector is not None:\n self.Selector.export(lwrite, level, 'WinKernelObj:', name_='Selector', pretty_print=pretty_print)", "metadata": "root.IDTEntryType.exportChildren", "header": "['class', 'IDTEntryType', '(', 'GeneratedsSuper', ')', ':', '___EOS___']", "index": 322 }, { "content": " def exportChildren(self, lwrite, level, namespace_='WinKernelObj:', name_='WindowsKernelObjectType', fromsubclass_=False, pretty_print=True):\n super(WindowsKernelObjectType, self).exportChildren(lwrite, level, 'WinKernelObj:', name_, True, pretty_print=pretty_print)\n if pretty_print:\n eol_ = '\\n'\n else:\n eol_ = ''\n if self.IDT is not None:\n self.IDT.export(lwrite, level, 'WinKernelObj:', name_='IDT', pretty_print=pretty_print)\n if self.SSDT is not None:\n self.SSDT.export(lwrite, level, 'WinKernelObj:', name_='SSDT', pretty_print=pretty_print)", "metadata": "root.WindowsKernelObjectType.exportChildren", "header": "['class', 'WindowsKernelObjectType', '(', 'cybox_common', '.', 'ObjectPropertiesType', ')', ':', '___EOS___']", "index": 415 }, { "content": "def parse(inFileName):\n doc = parsexml_(inFileName)\n rootNode = doc.getroot()\n rootTag, rootClass = get_root_tag(rootNode)\n if rootClass is None:\n rootTag = 'Windows_Kernel'\n rootClass = WindowsKernelObjectType\n rootObj = rootClass.factory()\n rootObj.build(rootNode)\n # Enable Python to collect the space used by the DOM.\n doc = None\n# sys.stdout.write('<?xml version=\"1.0\" ?>\\n')\n# rootObj.export(sys.stdout.write, 0, name_=rootTag,\n# namespacedef_='',\n# pretty_print=True)\n return rootObj", "metadata": "root.parse", "header": "['module', '___EOS___']", "index": 562 }, { "content": "def parseEtree(inFileName):\n doc = parsexml_(inFileName)\n rootNode = doc.getroot()\n rootTag, rootClass = get_root_tag(rootNode)\n if rootClass is None:\n rootTag = 'Windows_Kernel'\n rootClass = WindowsKernelObjectType\n rootObj = rootClass.factory()\n rootObj.build(rootNode)\n # Enable Python to collect the space used by the DOM.\n doc = None\n rootElement = rootObj.to_etree(None, name_=rootTag)\n content = etree_.tostring(rootElement, pretty_print=True,\n xml_declaration=True, encoding=\"utf-8\")\n sys.stdout.write(content)\n sys.stdout.write('\\n')\n return rootObj, rootElement", "metadata": "root.parseEtree", "header": "['module', '___EOS___']", "index": 579 }, { "content": "def parseString(inString):\n from mixbox.vendor.six import StringIO\n doc = parsexml_(StringIO(inString))\n rootNode = doc.getroot()\n rootTag, rootClass = get_root_tag(rootNode)\n if rootClass is None:\n rootTag = 'Windows_Kernel'\n rootClass = WindowsKernelObjectType\n rootObj = rootClass.factory()\n rootObj.build(rootNode)\n # Enable Python to collect the space used by the DOM.\n doc = None\n# sys.stdout.write('<?xml version=\"1.0\" ?>\\n')\n# rootObj.export(sys.stdout.write, 0, name_=\"Windows_Kernel\",\n# namespacedef_='')\n return rootObj", "metadata": "root.parseString", "header": "['module', '___EOS___']", "index": 597 } ]

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[ { "content": " def setUp(self):\n zxCoreTestCase.setUp(self)\n\n c = self.cursor()\n\n try:\n try:\n c.execute(\"drop table sptest\")\n except:\n self.db.rollback()\n try:\n c.execute(\"create table sptest (x varchar2(20))\")\n c.execute(\"create or replace procedure procnone is begin insert into sptest values ('testing'); end;\")\n c.execute(\"create or replace procedure procin (y in varchar2) is begin insert into sptest values (y); end;\")\n c.execute(\"create or replace procedure procout (y out varchar2) is begin y := 'tested'; end;\")\n c.execute(\"create or replace procedure procinout (y out varchar2, z in varchar2) is begin insert into sptest values (z); y := 'tested'; end;\")\n c.execute(\"create or replace function funcnone return varchar2 is begin return 'tested'; end;\")\n c.execute(\"create or replace function funcin (y varchar2) return varchar2 is begin return y || y; end;\")\n c.execute(\"create or replace function funcout (y out varchar2) return varchar2 is begin y := 'tested'; return 'returned'; end;\")\n self.db.commit()\n except:\n self.db.rollback()\n self.fail(\"procedure creation failed\")\n\n self.proc_errors(\"PROC\")\n self.proc_errors(\"FUNC\")\n\n finally:\n c.close()", "metadata": "root.OracleSPTest.setUp", "header": "['class', 'OracleSPTest', '(', 'zxCoreTestCase', ')', ':', '___EOS___']", "index": 8 }, { "content": " def testProcWithResultSet(self):\n c = self.cursor()\n try:\n for a in ((\"table\", \"sptest\"), (\"procedure\", \"sp_proctest\")):\n try:\n c.execute(\"drop %s %s\" % (a))\n except:\n pass\n\n c.execute(\"create table sptest (a int, b varchar(32))\")\n c.execute(\"insert into sptest values (1, 'hello')\")\n c.execute(\"insert into sptest values (2, 'there')\")\n c.execute(\"insert into sptest values (3, 'goodbye')\")\n\n c.execute(\"\"\" create procedure sp_proctest (@A int) as select a, b from sptest where a <= @A \"\"\")\n self.db.commit()\n\n c.callproc(\"sp_proctest\", (2,))\n data = c.fetchall()\n self.assertEquals(2, len(data))\n self.assertEquals(2, len(c.description))\n assert c.nextset() is not None, \"expected an additional result set\"\n data = c.fetchall()\n self.assertEquals(1, len(data))\n self.assertEquals(1, len(c.description))\n finally:\n c.close()", "metadata": "root.SQLServerSPTest.testProcWithResultSet", "header": "['class', 'SQLServerSPTest', '(', 'zxCoreTestCase', ')', ':', '___EOS___']", "index": 186 } ]

[ { "span": "except:", "start_line": 16, "start_column": 12, "end_line": 16, "end_column": 19 }, { "span": "except:", "start_line": 28, "start_column": 12, "end_line": 28, "end_column": 19 }, { "span": "except:", "start_line": 192, "start_column": 16, "end_line": 192, "end_column": 23 } ]

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[ { "content": " def __add__(a, b):\n try:\n return rat(a.__num * b.__den + b.__num * a.__den,\n a.__den * b.__den)\n except OverflowError:\n return rat(long(a.__num) * long(b.__den) +\n long(b.__num) * long(a.__den),\n long(a.__den) * long(b.__den))", "metadata": "root.Rat.__add__", "header": "['class', 'Rat', ':', '___EOS___']", "index": 106 }, { "content": " def __radd__(b, a):\n return Rat(a) + b", "metadata": "root.Rat.__radd__", "header": "['class', 'Rat', ':', '___EOS___']", "index": 115 }, { "content": " def __sub__(a, b):\n try:\n return rat(a.__num * b.__den - b.__num * a.__den,\n a.__den * b.__den)\n except OverflowError:\n return rat(long(a.__num) * long(b.__den) -\n long(b.__num) * long(a.__den),\n long(a.__den) * long(b.__den))", "metadata": "root.Rat.__sub__", "header": "['class', 'Rat', ':', '___EOS___']", "index": 119 }, { "content": " def __rsub__(b, a):\n return Rat(a) - b", "metadata": "root.Rat.__rsub__", "header": "['class', 'Rat', ':', '___EOS___']", "index": 128 }, { "content": " def __mul__(a, b):\n try:\n return rat(a.__num * b.__num, a.__den * b.__den)\n except OverflowError:\n return rat(long(a.__num) * long(b.__num),\n long(a.__den) * long(b.__den))", "metadata": "root.Rat.__mul__", "header": "['class', 'Rat', ':', '___EOS___']", "index": 132 }, { "content": " def __rmul__(b, a):\n return Rat(a) * b", "metadata": "root.Rat.__rmul__", "header": "['class', 'Rat', ':', '___EOS___']", "index": 139 }, { "content": " def __div__(a, b):\n try:\n return rat(a.__num * b.__den, a.__den * b.__num)\n except OverflowError:\n return rat(long(a.__num) * long(b.__den),\n long(a.__den) * long(b.__num))", "metadata": "root.Rat.__div__", "header": "['class', 'Rat', ':', '___EOS___']", "index": 143 }, { "content": " def __rdiv__(b, a):\n return Rat(a) / b", "metadata": "root.Rat.__rdiv__", "header": "['class', 'Rat', ':', '___EOS___']", "index": 150 }, { "content": " def __mod__(a, b):\n div = a / b\n try:\n div = int(div)\n except OverflowError:\n div = long(div)\n return a - b * div", "metadata": "root.Rat.__mod__", "header": "['class', 'Rat', ':', '___EOS___']", "index": 154 }, { "content": " def __rmod__(b, a):\n return Rat(a) % b", "metadata": "root.Rat.__rmod__", "header": "['class', 'Rat', ':', '___EOS___']", "index": 162 }, { "content": " def __pow__(a, b):\n if b.__den != 1:\n if isinstance(a.__num, complex):\n a = complex(a)\n else:\n a = float(a)\n if isinstance(b.__num, complex):\n b = complex(b)\n else:\n b = float(b)\n return a ** b\n try:\n return rat(a.__num ** b.__num, a.__den ** b.__num)\n except OverflowError:\n return rat(long(a.__num) ** b.__num,\n long(a.__den) ** b.__num)", "metadata": "root.Rat.__pow__", "header": "['class', 'Rat', ':', '___EOS___']", "index": 166 }, { "content": " def __rpow__(b, a):\n return Rat(a) ** b", "metadata": "root.Rat.__rpow__", "header": "['class', 'Rat', ':', '___EOS___']", "index": 183 }, { "content": " def __neg__(a):\n try:\n return rat(-a.__num, a.__den)\n except OverflowError:\n # a.__num == sys.maxint\n return rat(-long(a.__num), a.__den)", "metadata": "root.Rat.__neg__", "header": "['class', 'Rat', ':', '___EOS___']", "index": 187 }, { "content": " def __abs__(a):\n return rat(abs(a.__num), a.__den)", "metadata": "root.Rat.__abs__", "header": "['class', 'Rat', ':', '___EOS___']", "index": 195 }, { "content": " def __int__(a):\n return int(a.__num / a.__den)", "metadata": "root.Rat.__int__", "header": "['class', 'Rat', ':', '___EOS___']", "index": 199 }, { "content": " def __long__(a):\n return long(a.__num) / long(a.__den)", "metadata": "root.Rat.__long__", "header": "['class', 'Rat', ':', '___EOS___']", "index": 203 }, { "content": " def __float__(a):\n return float(a.__num) / float(a.__den)", "metadata": "root.Rat.__float__", "header": "['class', 'Rat', ':', '___EOS___']", "index": 207 }, { "content": " def __complex__(a):\n return complex(a.__num) / complex(a.__den)", "metadata": "root.Rat.__complex__", "header": "['class', 'Rat', ':', '___EOS___']", "index": 211 }, { "content": " def __cmp__(a, b):\n diff = Rat(a - b)\n if diff.__num < 0:\n return -1\n elif diff.__num > 0:\n return 1\n else:\n return 0", "metadata": "root.Rat.__cmp__", "header": "['class', 'Rat', ':', '___EOS___']", "index": 215 }, { "content": " def __rcmp__(b, a):\n return cmp(Rat(a), b)", "metadata": "root.Rat.__rcmp__", "header": "['class', 'Rat', ':', '___EOS___']", "index": 224 }, { "content": " def __nonzero__(a):\n return a.__num != 0", "metadata": "root.Rat.__nonzero__", "header": "['class', 'Rat', ':', '___EOS___']", "index": 228 }, { "content": " def __coerce__(a, b):\n return a, Rat(b)", "metadata": "root.Rat.__coerce__", "header": "['class', 'Rat', ':', '___EOS___']", "index": 232 } ]

[ { "span": "def __add__(a, b):", "start_line": 106, "start_column": 4, "end_line": 106, "end_column": 22 }, { "span": "def __radd__(b, a):", "start_line": 115, "start_column": 4, "end_line": 115, "end_column": 23 }, { "span": "def __sub__(a, b):", "start_line": 119, "start_column": 4, "end_line": 119, "end_column": 22 }, { "span": "def __rsub__(b, a):", "start_line": 128, "start_column": 4, "end_line": 128, "end_column": 23 }, { "span": "def __mul__(a, b):", "start_line": 132, "start_column": 4, "end_line": 132, "end_column": 22 }, { "span": "def __rmul__(b, a):", "start_line": 139, "start_column": 4, "end_line": 139, "end_column": 23 }, { "span": "def __div__(a, b):", "start_line": 143, "start_column": 4, "end_line": 143, "end_column": 22 }, { "span": "def __rdiv__(b, a):", "start_line": 150, "start_column": 4, "end_line": 150, "end_column": 23 }, { "span": "def __mod__(a, b):", "start_line": 154, "start_column": 4, "end_line": 154, "end_column": 22 }, { "span": "def __rmod__(b, a):", "start_line": 162, "start_column": 4, "end_line": 162, "end_column": 23 }, { "span": "def __pow__(a, b):", "start_line": 166, "start_column": 4, "end_line": 166, "end_column": 22 }, { "span": "def __rpow__(b, a):", "start_line": 183, "start_column": 4, "end_line": 183, "end_column": 23 }, { "span": "def __neg__(a):", "start_line": 187, "start_column": 4, "end_line": 187, "end_column": 19 }, { "span": "def __abs__(a):", "start_line": 195, "start_column": 4, "end_line": 195, "end_column": 19 }, { "span": "def __int__(a):", "start_line": 199, "start_column": 4, "end_line": 199, "end_column": 19 }, { "span": "def __long__(a):", "start_line": 203, "start_column": 4, "end_line": 203, "end_column": 20 }, { "span": "def __float__(a):", "start_line": 207, "start_column": 4, "end_line": 207, "end_column": 21 }, { "span": "def __complex__(a):", "start_line": 211, "start_column": 4, "end_line": 211, "end_column": 23 }, { "span": "def __cmp__(a, b):", "start_line": 215, "start_column": 4, "end_line": 215, "end_column": 22 }, { "span": "def __rcmp__(b, a):", "start_line": 224, "start_column": 4, "end_line": 224, "end_column": 23 }, { "span": "def __nonzero__(a):", "start_line": 228, "start_column": 4, "end_line": 228, "end_column": 23 }, { "span": "def __coerce__(a, b):", "start_line": 232, "start_column": 4, "end_line": 232, "end_column": 25 } ]

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[ { "content": " def test_1_client(self):\n logging.debug('')\n logging.debug('test_client')\n\n factory = self.start_factory()\n\n # List available types.\n types = factory.get_available_types()\n logging.debug('Available types:')\n for typname, version in types:\n logging.debug(' %s %s', typname, version)\n\n # First a HollowSphere, accessed via get()/set().\n obj = factory.create(_MODULE+'.HollowSphere')\n sphere_pid = obj.get('pid')\n self.assertNotEqual(sphere_pid, os.getpid())\n\n radius = obj.get('radius')\n self.assertEqual(radius, 1.)\n radius += 1\n obj.set('radius', radius)\n new_radius = obj.get('radius')\n self.assertEqual(new_radius, 2.)\n self.assertEqual(obj.get('inner_volume'), 0.)\n self.assertEqual(obj.get('volume'), 0.)\n self.assertEqual(obj.get('solid_volume'), 0.)\n self.assertEqual(obj.get('surface_area'), 0.)\n obj.run()\n assert_rel_error(self, obj.get('inner_volume'), 33.510321638, 0.000001)\n assert_rel_error(self, obj.get('volume'), 36.086951213, 0.000001)\n assert_rel_error(self, obj.get('solid_volume'), 2.5766295747, 0.000001)\n assert_rel_error(self, obj.get('surface_area'), 50.265482457, 0.000001)\n\n try:\n obj.set('radius', -1)\n except RemoteError as exc:\n fragment = \": Variable 'radius' must be a float in the range (0.0, \"\n if fragment not in str(exc):\n self.fail('%s not found in %s' % (fragment, exc))\n else:\n self.fail('Expected RemoteError')\n\n # Now a Box, accessed via attribute methods.\n obj = factory.create(_MODULE+'.Box')\n box_pid = obj.get('pid')\n self.assertNotEqual(box_pid, os.getpid())\n self.assertNotEqual(box_pid, sphere_pid)\n\n obj.width += 2\n obj.height += 2\n obj.depth += 2\n self.assertEqual(obj.width, 2.)\n self.assertEqual(obj.height, 2.)\n self.assertEqual(obj.depth, 2.)\n self.assertEqual(obj.volume, 0.)\n self.assertEqual(obj.surface_area, 0.)\n obj.run()\n self.assertEqual(obj.volume, 8.0)\n self.assertEqual(obj.surface_area, 24.0)\n\n try:\n obj.no_rbac()\n except RemoteError as exc:\n msg = \"AttributeError: method 'no_rbac' of\"\n logging.debug('msg: %s', msg)\n logging.debug('exc: %s', exc)\n self.assertTrue(msg in str(exc))\n else:\n self.fail('Expected RemoteError')", "metadata": "root.TestCase.test_1_client", "header": "['class', 'TestCase', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 359 }, { "content": " def test_2_model(self):\n logging.debug('')\n logging.debug('test_model')\n\n factory = self.start_factory()\n\n # Create model and run it.\n box = factory.create(_MODULE+'.Box')\n model = set_as_top(Model(box))\n model.run()\n\n # Check results.\n for width in range(1, 2):\n for height in range(1, 3):\n for depth in range(1, 4):\n case = model.recorders[0].cases.pop(0)\n self.assertEqual(case.get_output('volume'),\n width*height*depth)\n\n self.assertTrue(is_instance(model.box.parent, Assembly))\n self.assertTrue(has_interface(model.box.parent, IComponent))\n\n # Upcall to use parent to resolve sibling.\n # At one time this caused proxy problems.\n source = model.box.parent.source\n self.assertEqual(source.width_in, 1.)\n\n # Proxy resolution.\n obj, path = get_closest_proxy(model, 'box.subcontainer.subvar')\n self.assertEqual(obj, model.box)\n self.assertEqual(path, 'subcontainer.subvar')\n\n obj, path = get_closest_proxy(model, 'source.subcontainer.subvar')\n self.assertEqual(obj, model.source.subcontainer.subvar)\n self.assertEqual(path, '')\n\n obj, path = get_closest_proxy(model.source.subcontainer, 'subvar')\n self.assertEqual(obj, model.source.subcontainer.subvar)\n self.assertEqual(path, '')\n\n # Observable proxied type.\n tmp = model.box.open_in_parent('tmp', 'w')\n tmp.close()\n os.remove('tmp')\n\n # Cause server-side errors we can see.\n\n try:\n box.cause_parent_error1()\n except RemoteError as exc:\n msg = \"AttributeError: 'Model' object has no attribute 'no_such_variable'\"\n logging.debug('msg: %s', msg)\n logging.debug('exc: %s', exc)\n self.assertTrue(msg in str(exc))\n else:\n self.fail('Expected RemoteError')\n\n try:\n box.cause_parent_error2()\n except RemoteError as exc:\n msg = \"AttributeError: method 'get_trait' of\"\n logging.debug('msg: %s', msg)\n logging.debug('exc: %s', exc)\n self.assertTrue(msg in str(exc))\n else:\n self.fail('Expected RemoteError')\n\n try:\n box.cause_parent_error3()\n except RemoteError as exc:\n msg = \"RoleError: xyzzy(): No access for role 'owner'\"\n logging.debug('msg: %s', msg)\n logging.debug('exc: %s', exc)\n self.assertTrue(msg in str(exc))\n else:\n self.fail('Expected RemoteError')", "metadata": "root.TestCase.test_2_model", "header": "['class', 'TestCase', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 429 }, { "content": " def test_3_access(self):\n logging.debug('')\n logging.debug('test_access')\n\n # This 'spook' creation is only for testing.\n # Normally the protector would run with regular credentials\n # in effect at the proprietary site.\n user = 'i am a spy@'+socket.gethostname()\n key_pair = get_key_pair(user)\n data = '\\n'.join([user, '0', key_pair.publickey().exportKey()])\n hash = hashlib.sha256(data).digest()\n signature = key_pair.sign(hash, get_random_bytes)\n spook = Credentials((data, signature, None))\n\n credentials = get_credentials()\n allowed_users = {credentials.user: credentials.public_key,\n spook.user: spook.public_key}\n factory = self.start_factory(allowed_users=allowed_users)\n\n # Create model and run it.\n saved = get_credentials()\n set_credentials(spook)\n box = factory.create(_MODULE+'.ProtectedBox',\n allowed_users=allowed_users)\n set_credentials(saved)\n\n model = set_as_top(Model(box))\n model.run()\n\n # Check results.\n for width in range(1, 2):\n for height in range(1, 3):\n for depth in range(1, 4):\n case = model.recorders[0].cases.pop(0)\n self.assertEqual(case.get_output('volume'),\n width*height*depth)\n\n # Check access protections.\n try:\n i = model.box.secret\n except RemoteError as exc:\n msg = \"RoleError: No __getattribute__ access to 'secret' by role 'user'\"\n logging.debug('msg: %s', msg)\n logging.debug('exc: %s', exc)\n self.assertTrue(msg in str(exc))\n else:\n self.fail('Expected RemoteError')\n\n try:\n model.box.proprietary_method()\n except RemoteError as exc:\n msg = \"RoleError: proprietary_method(): No access for role 'user'\"\n logging.debug('msg: %s', msg)\n logging.debug('exc: %s', exc)\n self.assertTrue(msg in str(exc))\n else:\n self.fail('Expected RemoteError')\n\n saved = get_credentials()\n set_credentials(spook)\n try:\n i = model.box.secret\n model.box.proprietary_method()\n finally:\n # Reset credentials to allow factory shutdown.\n set_credentials(saved)", "metadata": "root.TestCase.test_3_access", "header": "['class', 'TestCase', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 506 }, { "content": " def test_5_misc(self):\n logging.debug('')\n logging.debug('test_misc')\n\n factory = self.start_factory()\n\n # Try using a server after being released, server never used before.\n # This usually results in a \"Can't connect\" error, but sometimes gets a\n # \"Can't send\" error, based on timing/proxying.\n server = factory.create('')\n factory.release(server)\n msg1 = \"Can't connect to server at\"\n msg2 = \"Can't send to server at\"\n try:\n reply = server.echo('hello')\n except RuntimeError as exc:\n if str(exc)[:len(msg1)] != msg1 and str(exc)[:len(msg2)] != msg2:\n self.fail('Expected connect/send error, got %r' % exc)\n else:\n self.fail('Expected RuntimeError')\n\n # Try using a server after being released, server has been used before.\n # This usually results in a \"Can't send\" error, but sometimes gets a\n # \"Can't connect\" error, based on timing/proxying.\n server = factory.create('')\n reply = server.echo('hello')\n factory.release(server)\n msg1 = \"Can't send to server at\"\n msg2 = \"Can't connect to server at\"\n try:\n reply = server.echo('hello')\n except RuntimeError as exc:\n if str(exc)[:len(msg1)] != msg1 and str(exc)[:len(msg2)] != msg2:\n self.fail('Expected send/connect error, got %r' % exc)\n except EOFError: # this can happen when testing concurrently\n pass\n else:\n self.fail('Expected RuntimeError')\n\n # Try releasing a server twice. Depending on timing, this could\n # result in a ValueError trying to identify the server to release or\n # a RemoteError where the request can't be unpacked. The timing seems\n # to be sensitive to AF_INET/AF_UNIX connection type.\n server = factory.create('')\n factory.release(server)\n msg1 = \"can't identify server \"\n msg2 = \"RuntimeError: Can't decrypt/unpack request.\" \\\n \" This could be the result of referring to a dead server.\"\n try:\n factory.release(server)\n except ValueError as exc:\n self.assertEqual(str(exc)[:len(msg1)], msg1)\n except RemoteError as exc:\n self.assertTrue(msg2 in str(exc))\n else:\n self.fail('Expected ValueError or RemoteError')\n\n # Check false return of has_interface().\n self.assertFalse(has_interface(factory, HasObjectives))\n\n # Try to connect to wrong port (assuming junk_port isn't being used!)\n address = socket.gethostname()\n junk_port = 12345\n assert_raises(self, 'connect(address, junk_port, pubkey=self.key)',\n globals(), locals(), RuntimeError, \"Can't connect to \")\n\n # Unpickleable argument.\n code = compile('3 + 4', '<string>', 'eval')\n assert_raises(self, 'factory.echo(code)', globals(), locals(),\n cPickle.PicklingError, \"Can't pickle <type 'code'>\")\n\n # Server startup failure.\n assert_raises(self, 'self.start_factory(port=0, allowed_users={})',\n globals(), locals(), RuntimeError,\n 'Server startup failed')", "metadata": "root.TestCase.test_5_misc", "header": "['class', 'TestCase', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 636 } ]

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[ { "content": "# -*- coding: UTF-8 -*-\n\nimport numpy as np\nfrom sklearn.cross_validation import KFold\nfrom sklearn.linear_model import LinearRegression, ElasticNet, Lasso, Ridge, ElasticNetCV\nfrom sklearn.metrics import mean_squared_error, r2_score\nfrom time import time\nfrom sklearn.feature_extraction.text import TfidfVectorizer\nfrom sklearn.feature_selection import SelectPercentile, f_classif, chi2\nfrom sklearn.feature_selection import SelectKBest, f_regression\nimport pickle\nfrom sklearn import preprocessing\nfrom sklearn import cross_validation\nimport matplotlib.pyplot as plt\nfrom itertools import cycle\n\n\n\n\n\n\nnFeatures = np.arange(10, 40, 10)\n\ndata = {}\n\nfor k in nFeatures:\n\n features, labels, vectorizer, selector, le, features_data = preprocess(\"pkl/article_2_people.pkl\", \"pkl/lable_2_people.pkl\", k)\n features_train, features_test, labels_train, labels_test = cross_validation.train_test_split(features, labels, test_size=0.1, random_state=42)\n\n for name, clf in [\n ('linear regression', LinearRegression(fit_intercept=True)),\n # ('lasso()', Lasso()),\n # ('elastic-net(.5)', ElasticNet(alpha=0.5)),\n # ('lasso(.5)', Lasso(alpha=0.5)),\n # ('ridge(.5)', Ridge(alpha=0.5))\n ]:\n\n if not data.has_key(name):\n data[name] = []\n\n print \"*\" * 100\n print('Method: {}'.format(name) + ' the number of feature is {}'.format(k))\n\n # Fit on the whole data:\n t0 = time()\n clf.fit(features_train, labels_train)\n print (\"training time:\", round(time()-t0, 3), \"s\")\n\n # Predict on the whole data:\n y_pred = clf.predict(features_test)\n print (\"predicting time:\", round(time()-t0, 3), \"s\")\n\n score_accuracy = mean_squared_error(y_pred, labels_test)\n print('r2 score : {}'.format(r2_score(y_pred, labels_test)))\n print('mean squared error : {}'.format(score_accuracy))\n\n print \"*\"* 100\n\n data[name].append(score_accuracy)\n\n\nplot(nFeatures, data)\nprint data", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def plot(nFeatures, data):\n colors = cycle('rgbcmykw')\n algorithm = sorted(data)\n\n fig = plt.figure()\n ax = fig.add_subplot(111)\n\n for j, c in zip(algorithm, colors):\n # for j in algorithm:\n # plt.scatter(nFeatures, data[j], label=j)\n ax.plot(nFeatures, data[j], label=j, color=c)\n ax.scatter(nFeatures, data[j], color=c)\n\n plt.xlabel(\"#-Features(SelectPercentile)\")\n plt.ylabel(\"Mean Squared Error\")\n plt.title(\"Mean Squared Error vs #-Features for different classifiers\")\n # ax.set_xscale(\"log\")\n box = ax.get_position()\n ax.set_position([box.x0, box.y0 + box.height * 0.3,\n box.width, box.height * 0.7])\n ax.legend(loc=\"upper center\", bbox_to_anchor=(0.5, -0.15), fancybox=True, shadow=True, ncol=3)\n # ax.set_ylim(0, 6.0)\n plt.legend(loc=2)\n plt.show()", "metadata": "root.plot", "header": "['module', '___EOS___']", "index": 17 }, { "content": "def preprocess(article_file, lable_file, k):\n\n features = pickle.load(open(article_file))\n features = np.array(features)\n\n # transform non-numerical labels (as long as they are hashable and comparable) to numerical labels\n lables = pickle.load(open(lable_file))\n le = preprocessing.LabelEncoder()\n le.fit(lables)\n lables = le.transform(lables)\n # print le.inverse_transform([0])\n\n ### text vectorization--go from strings to lists of numbers\n vectorizer = TfidfVectorizer(sublinear_tf=True, max_df=0.5, min_df=1,\n stop_words='english')\n features_train_transformed = vectorizer.fit_transform(features)\n\n # selector : SelectPercentile\n selector = SelectPercentile(f_classif, percentile=k)\n selector.fit(features_train_transformed, lables)\n\n # selector : SelectKBest\n # selector = SelectKBest(k=k)\n # selector.fit(features_train_transformed, lables)\n\n # selector : chi2\n # selector = SelectPercentile(score_func=chi2)\n # selector.fit(features_train_transformed, lables)\n\n features_train_transformed = selector.transform(features_train_transformed).toarray()\n\n return features_train_transformed, lables, vectorizer, selector, le, features", "metadata": "root.preprocess", "header": "['module', '___EOS___']", "index": 43 } ]

[ { "span": "from sklearn.cross_validation import KFold", "start_line": 3, "start_column": 0, "end_line": 3, "end_column": 42 }, { "span": "from sklearn.linear_model import LinearRegression, ElasticNet, Lasso, Ridge, ElasticNetCV", "start_line": 4, "start_column": 0, "end_line": 4, "end_column": 89 }, { "span": "from sklearn.feature_selection import SelectPercentile, f_classif, chi2", "start_line": 8, "start_column": 0, "end_line": 8, "end_column": 71 }, { "span": "from sklearn.feature_selection import SelectKBest, f_regression", "start_line": 9, "start_column": 0, "end_line": 9, "end_column": 63 } ]

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[ { "content": "\"\"\"Messaging library for Python\"\"\"\nfrom __future__ import absolute_import, unicode_literals\n\nimport os\nimport sys\n\nfrom collections import namedtuple\n\nversion_info_t = namedtuple(\n 'version_info_t', ('major', 'minor', 'micro', 'releaselevel', 'serial'),\n)\n\nVERSION = version_info = version_info_t(4, 0, 0, 'a1', '')\n__version__ = '{0.major}.{0.minor}.{0.micro}{0.releaselevel}'.format(VERSION)\n__author__ = 'Ask Solem'\n__contact__ = 'ask@celeryproject.org'\n__homepage__ = 'http://kombu.readthedocs.org'\n__docformat__ = 'restructuredtext en'\n\n# -eof meta-\n\nif sys.version_info < (2, 7): # pragma: no cover\n raise Exception('Kombu 4.0 requires Python versions 2.7 or later.')\n\nSTATICA_HACK = True\nglobals()['kcah_acitats'[::-1].upper()] = False\nif STATICA_HACK: # pragma: no cover\n # This is never executed, but tricks static analyzers (PyDev, PyCharm,\n # pylint, etc.) into knowing the types of these symbols, and what\n # they contain.\n from kombu.connection import Connection, BrokerConnection # noqa\n from kombu.entity import Exchange, Queue, binding # noqa\n from kombu.messaging import Consumer, Producer # noqa\n from kombu.pools import connections, producers # noqa\n from kombu.utils.url import parse_url # noqa\n from kombu.common import eventloop, uuid # noqa\n from kombu.serialization import ( # noqa\n enable_insecure_serializers,\n disable_insecure_serializers,\n )\n\n# Lazy loading.\n# - See werkzeug/__init__.py for the rationale behind this.\nfrom types import ModuleType # noqa\n\nall_by_module = {\n 'kombu.connection': ['Connection', 'BrokerConnection'],\n 'kombu.entity': ['Exchange', 'Queue', 'binding'],\n 'kombu.messaging': ['Consumer', 'Producer'],\n 'kombu.pools': ['connections', 'producers'],\n 'kombu.utils.url': ['parse_url'],\n 'kombu.common': ['eventloop', 'uuid'],\n 'kombu.serialization': ['enable_insecure_serializers',\n 'disable_insecure_serializers'],\n}\n\nobject_origins = {}\nfor module, items in all_by_module.items():\n for item in items:\n object_origins[item] = module\n\n\n\n# 2.5 does not define __package__\ntry:\n package = __package__\nexcept NameError: # pragma: no cover\n package = 'kombu'\n\n# keep a reference to this module so that it's not garbage collected\nold_module = sys.modules[__name__]\n\nnew_module = sys.modules[__name__] = module(__name__)\nnew_module.__dict__.update({\n '__file__': __file__,\n '__path__': __path__,\n '__doc__': __doc__,\n '__all__': tuple(object_origins),\n '__version__': __version__,\n '__author__': __author__,\n '__contact__': __contact__,\n '__homepage__': __homepage__,\n '__docformat__': __docformat__,\n '__package__': package,\n 'version_info_t': version_info_t,\n 'version_info': version_info,\n 'VERSION': VERSION,\n 'absolute_import': absolute_import,\n 'unicode_literals': unicode_literals,\n})\n\nif os.environ.get('KOMBU_LOG_DEBUG'): # pragma: no cover\n os.environ.update(KOMBU_LOG_CHANNEL='1', KOMBU_LOG_CONNECTION='1')\n from .utils import debug\n debug.setup_logging()\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 } ]

[ { "span": "except NameError: ", "start_line": 83, "start_column": 0, "end_line": 83, "end_column": 17 } ]

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[ { "content": "def make_label(text, filename, size=12, angle=0):\n '''\n Parameters:\n -----------\n text : string\n Text to be displayed\n filename : string\n Path to a font\n size : int\n Font size in 1/64th points\n angle : float\n Text angle in degrees\n '''\n face = Face(filename)\n face.set_char_size( size*64 )\n angle = (angle/180.0)*math.pi\n matrix = FT_Matrix( (int)( math.cos( angle ) * 0x10000 ),\n (int)(-math.sin( angle ) * 0x10000 ),\n (int)( math.sin( angle ) * 0x10000 ),\n (int)( math.cos( angle ) * 0x10000 ))\n flags = FT_LOAD_RENDER\n pen = FT_Vector(0,0)\n FT_Set_Transform( face._FT_Face, byref(matrix), byref(pen) )\n previous = 0\n xmin, xmax = 0, 0\n ymin, ymax = 0, 0\n for c in text:\n face.load_char(c, flags)\n kerning = face.get_kerning(previous, c)\n previous = c\n bitmap = face.glyph.bitmap\n pitch = face.glyph.bitmap.pitch\n width = face.glyph.bitmap.width\n rows = face.glyph.bitmap.rows\n top = face.glyph.bitmap_top\n left = face.glyph.bitmap_left\n pen.x += kerning.x\n x0 = (pen.x >> 6) + left\n x1 = x0 + width\n y0 = (pen.y >> 6) - (rows - top)\n y1 = y0 + rows\n xmin, xmax = min(xmin, x0), max(xmax, x1)\n ymin, ymax = min(ymin, y0), max(ymax, y1)\n pen.x += face.glyph.advance.x\n pen.y += face.glyph.advance.y\n\n L = np.zeros((ymax-ymin, xmax-xmin),dtype=np.ubyte)\n previous = 0\n pen.x, pen.y = 0, 0\n for c in text:\n face.load_char(c, flags)\n kerning = face.get_kerning(previous, c)\n previous = c\n bitmap = face.glyph.bitmap\n pitch = face.glyph.bitmap.pitch\n width = face.glyph.bitmap.width\n rows = face.glyph.bitmap.rows\n top = face.glyph.bitmap_top\n left = face.glyph.bitmap_left\n pen.x += kerning.x\n x = (pen.x >> 6) - xmin + left\n y = (pen.y >> 6) - ymin - (rows - top)\n data = []\n for j in range(rows):\n data.extend(bitmap.buffer[j*pitch:j*pitch+width])\n if len(data):\n Z = np.array(data,dtype=np.ubyte).reshape(rows, width)\n L[y:y+rows,x:x+width] |= Z[::-1,::1]\n pen.x += face.glyph.advance.x\n pen.y += face.glyph.advance.y\n\n return L", "metadata": "root.make_label", "header": "['module', '___EOS___']", "index": 14 } ]

[ { "span": "bitmap ", "start_line": 44, "start_column": 8, "end_line": 44, "end_column": 14 }, { "span": "pitch ", "start_line": 45, "start_column": 8, "end_line": 45, "end_column": 13 } ]

[ { "span": "bitmap ", "start_line": 67, "start_column": 8, "end_line": 67, "end_column": 14 }, { "span": "pitch ", "start_line": 68, "start_column": 8, "end_line": 68, "end_column": 13 } ]

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[ { "content": "#!/usr/bin/env python\n\"\"\" Tests of Larch Scripts \"\"\"\nimport unittest\nimport time\nimport ast\nimport numpy as np\nfrom sys import version_info\n\nfrom utils import TestCase\nfrom larch import Interpreter\n\n\nif __name__ == '__main__': # pragma: no cover\n for suite in (TestScripts,):\n suite = unittest.TestLoader().loadTestsFromTestCase(suite)\n unittest.TextTestRunner(verbosity=3).run(suite)\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class TestScripts(TestCase):\n '''testing of examples/xray'''\n", "metadata": "root.TestScripts", "header": "['module', '___EOS___']", "index": 10 }, { "content": " def test1_mu_elam(self):\n self.runscript('get_mu_tables.lar', dirname='../examples/xray')\n assert(len(self.session.get_errors()) == 0)\n self.isTrue(\"len(mu1) == 401\")\n self.isTrue(\"min(mu1) < 20\")", "metadata": "root.TestScripts.test1_mu_elam", "header": "['class', 'TestScripts', '(', 'TestCase', ')', ':', '___EOS___']", "index": 12 }, { "content": " def test2_mu_elam(self):\n self.session.run(\"zn_iz = atomic_number('zn')\")\n self.session.run(\"zn_mass = atomic_mass('zn')\")\n assert(len(self.session.get_errors()) == 0)\n self.isTrue(\"zn_iz == 30\")\n self.isTrue(\"zn_mass > 60.\")", "metadata": "root.TestScripts.test2_mu_elam", "header": "['class', 'TestScripts', '(', 'TestCase', ')', ':', '___EOS___']", "index": 18 } ]

[ { "span": "import time", "start_line": 3, "start_column": 0, "end_line": 3, "end_column": 11 }, { "span": "import ast", "start_line": 4, "start_column": 0, "end_line": 4, "end_column": 10 }, { "span": "import numpy as np", "start_line": 5, "start_column": 0, "end_line": 5, "end_column": 18 }, { "span": "from sys import version_info", "start_line": 6, "start_column": 0, "end_line": 6, "end_column": 28 }, { "span": "from larch import Interpreter", "start_line": 9, "start_column": 0, "end_line": 9, "end_column": 29 } ]

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[ { "content": "from sqlalchemy import *\nfrom migrate import *\nfrom migrate.changeset import *\n\nfrom raggregate.guid_recipe import GUID\n\n# referring to the models directly, this is \"very bad\" and sqlalchemy-migrate\n# docs will yell at you extensively for doing it. OH well, much easier this way\n# for the time being, and this migration is pretty basic so it shouldn't cause\n# problems down the road (hopefully).\n\nfrom raggregate.models import Submission\nfrom raggregate.models import User\nfrom raggregate.models import Comment\nfrom raggregate.models import Vote\nfrom raggregate.models import Epistle\nfrom raggregate.models import Stat\n\nmodel_list = ['Submission', 'User', 'Comment', 'Vote', 'Epistle', 'Stat']\n\nmeta = MetaData()\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def upgrade(migrate_engine):\n meta.bind = migrate_engine\n for m in model_list:\n t = eval(m).__table__\n t.metadata = meta\n for col in t.c:\n # modify all DateTime columns to tz awareness\n if type(col.type) == DateTime:\n col.alter(type = DateTime(timezone=True))", "metadata": "root.upgrade", "header": "['module', '___EOS___']", "index": 22 }, { "content": "def downgrade(migrate_engine):\n meta.bind = migrate_engine\n for m in model_list:\n t = eval(m).__table__\n t.metadata = meta\n for col in t.c:\n # modify all DateTime columns to tz naivety\n if type(col.type) == DateTime:\n col.alter(type = DateTime(timezone=False))", "metadata": "root.downgrade", "header": "['module', '___EOS___']", "index": 32 } ]

[ { "span": "from raggregate.guid_recipe import GUID", "start_line": 4, "start_column": 0, "end_line": 4, "end_column": 39 }, { "span": "from raggregate.models import Submission", "start_line": 11, "start_column": 0, "end_line": 11, "end_column": 40 }, { "span": "from raggregate.models import User", "start_line": 12, "start_column": 0, "end_line": 12, "end_column": 34 }, { "span": "from raggregate.models import Comment", "start_line": 13, "start_column": 0, "end_line": 13, "end_column": 37 }, { "span": "from raggregate.models import Vote", "start_line": 14, "start_column": 0, "end_line": 14, "end_column": 34 }, { "span": "from raggregate.models import Epistle", "start_line": 15, "start_column": 0, "end_line": 15, "end_column": 37 }, { "span": "from raggregate.models import Stat", "start_line": 16, "start_column": 0, "end_line": 16, "end_column": 34 } ]

[]

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[ { "content": "from os import close, unlink\nfrom random import random\nfrom tempfile import mkstemp\n\nimport pytest\n\nfrom bepasty.app import create_app, create_storage\n\n\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "@pytest.yield_fixture(scope='module')\ndef app(request):\n \"\"\"\n creates a bepasty App-Instance\n \"\"\"\n app = create_app()\n yield app\n unlink(app.config['DATABASE'])", "metadata": "root.app", "header": "['module', '___EOS___']", "index": 9 }, { "content": "@pytest.yield_fixture(scope='module')\ndef testclient(request, app):\n \"\"\"\n creates a Flask-testclient instance for bepasty\n \"\"\"\n db_file, app.config['DATABASE'] = mkstemp()\n # reset default permissions\n app.config['DEFAULT_PERMISSIONS'] = ''\n # setup a secret key\n app.config['SECRET_KEY'] = str(random())\n # setup permissions\n app.config['PERMISSIONS'] = {\n 'l': 'list',\n 'c': 'create',\n 'r': 'read',\n 'd': 'delete',\n 'a': 'admin'\n }\n yield app.test_client()\n close(db_file)", "metadata": "root.testclient", "header": "['module', '___EOS___']", "index": 19 } ]

[ { "span": "from bepasty.app import create_app, create_storage", "start_line": 6, "start_column": 0, "end_line": 6, "end_column": 50 } ]

[]

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[ { "content": "# coding=utf-8\ntry:\n import collections\nexcept ImportError:\n\nimport django\nif django.VERSION >= (1, 9):\n add_to_builtins = None\nelse:\n try:\n from django.template.base import add_to_builtins\n except ImportError:\n from django.template.loader import add_to_builtins\n\ntry:\n # django.utils.importlib is removed from Django 1.9\n from importlib import import_module\nexcept ImportError:\n from django.utils.importlib import import_module\n\ntry:\n # Django 1.7 or over use the new application loading system\n from django.apps import apps\n get_model = apps.get_model\nexcept ImportError:\n from django.db.models.loading import get_model\n\ntry:\n from django.utils.module_loading import import_string\nexcept ImportError:\n try:\n from django.utils.module_loading import import_by_path as import_string\n except ImportError:\n\ntry:\n # Python 3\n from urllib.parse import urlparse\nexcept ImportError:\n # Python 2\n from urlparse import urlparse\n\nimport sys\nif sys.version_info >= (3, 0):\nelse:\n\ntry:\n from django.util import six\nexcept ImportError:\n # Django 1.2/1.3 does not have six\n import six\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": " def isiterable(x):\n return isinstance(x, collections.Iterable)", "metadata": "root.isiterable", "header": "['module', '___EOS___']", "index": 3 }, { "content": " def isiterable(x):\n try:\n iter(x)\n return True\n except TypeError:\n return False", "metadata": "root.isiterable", "header": "['module', '___EOS___']", "index": 6 }, { "content": " def import_string(dotted_path):\n try:\n module_path, class_name = dotted_path.rsplit('.', 1)\n except ValueError:\n raise ImportError(\n \"%s doesn't look like a module path\" % dotted_path\n )\n module = import_module(module_path)\n try:\n return getattr(module, class_name)\n except AttributeError:\n raise ImportError(\n 'Module \"%s\" does not define a \"%s\" attribute/class' % (\n module_path, class_name\n ))", "metadata": "root.import_string", "header": "['module', '___EOS___']", "index": 41 }, { "content": " def isstr(x):\n return isinstance(x, str)", "metadata": "root.isstr", "header": "['module', '___EOS___']", "index": 66 }, { "content": " def isstr(x):\n return isinstance(x, basestring)", "metadata": "root.isstr", "header": "['module', '___EOS___']", "index": 69 } ]

[ { "span": "from django.template.base import add_to_builtins", "start_line": 18, "start_column": 8, "end_line": 18, "end_column": 56 }, { "span": "from django.template.loader import add_to_builtins", "start_line": 20, "start_column": 8, "end_line": 20, "end_column": 58 }, { "span": "from django.db.models.loading import get_model", "start_line": 33, "start_column": 4, "end_line": 33, "end_column": 50 }, { "span": "from django.utils.module_loading import import_string", "start_line": 36, "start_column": 4, "end_line": 36, "end_column": 57 }, { "span": "from django.utils.module_loading import import_by_path as import_string", "start_line": 39, "start_column": 8, "end_line": 39, "end_column": 79 }, { "span": "from urllib.parse import urlparse", "start_line": 59, "start_column": 4, "end_line": 59, "end_column": 37 }, { "span": "from urlparse import urlparse", "start_line": 62, "start_column": 4, "end_line": 62, "end_column": 33 }, { "span": "from django.util import six", "start_line": 73, "start_column": 4, "end_line": 73, "end_column": 31 }, { "span": "import six", "start_line": 76, "start_column": 4, "end_line": 76, "end_column": 14 } ]

[]

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[ { "content": "# -*- coding: UTF-8 -*-\n# Copyright 2011-2016 Luc Saffre\n# License: BSD (see file COPYING for details)\n\n\"\"\"\nThe :mod:`lino.api.dd` module is a shortcut to those parts of Lino which\nare used in your :xfile:`models.py` modules. The name ``dd`` stands\nfor \"Database Design\".\n\nApplication:\n\n- :attr:`plugins <lino.core.site.Site.plugins>`\n- :attr:`decfmt <lino.core.site.Site.decfmt>`\n- :attr:`str2kw <lino.core.site.Site.str2kw>`\n- :attr:`today <lino.core.site.Site.today>`\n- :attr:`strftime <lino.core.site.Site.strftime>`\n- :attr:`demo_date <lino.core.site.Site.demo_date>`\n- :attr:`is_abstract_model <lino.core.site.Site.is_abstract_model>`\n- :attr:`is_installed <lino.core.site.Site.is_installed>`\n- :attr:`add_welcome_handler <lino.core.site.Site.add_welcome_handler>`\n- :attr:`build_media_url <lino.core.site.Site.build_media_url>`\n- :attr:`get_default_language <lino.core.site.Site.get_default_language>`\n\n\nTables:\n\n- :class:`Table <lino.core.dbtables.Table>`\n- :class:`VirtualTable`\n- :class:`VentilatingTable`\n- :class:`Frame <lino.core.frames.Frame>`\n- :class:`ChoiceList <lino.core.choicelists.ChoiceList>`\n\nExtended Fields:\n\n- :class:`CharField <fields.CharField>`\n- :class:`NullCharField <lino.core.fields.NullCharField>`\n- :class:`IncompleteDateField <lino.core.fields.IncompleteDateField>`\n- :class:`PasswordField <lino.core.fields.PasswordField>`\n- :class:`MonthField <lino.core.fields.MonthField>`\n- :class:`PercentageField <lino.core.fields.PercentageField>`\n- :class:`QuantityField <lino.core.fields.QuantityField>`\n- :class:`PriceField<lino.core.fields.PriceField>`\n- :class:`CustomField <lino.core.fields.CustomField>`\n- :class:`RecurrenceField <lino.core.fields.RecurrenceField>`\n- :class:`DummyField <lino.core.fields.DummyField>`\n- :func:`ForeignKey <lino.core.fields.ForeignKey>`\n\nVirtual Fields:\n\n- :class:`Constant <lino.core.fields.Constant>` and\n :class:`@constant <lino.core.fields.constant>`\n- :class:`DisplayField <lino.core.fields.DisplayField>` and\n :class:`@displayfield <lino.core.fields.displayfield>`\n- :class:`VirtualField <lino.core.fields.VirtualField>` and\n :class:`@virtualfield <lino.core.fields.virtualfield>`\n- :class:`HtmlBox <lino.core.fields.HtmlBox>`\n\nLayouts:\n\n- :class:`FormLayout <lino.core.layouts.FormLayout>`\n- :class:`Panel <lino.core.layouts.Panel>`\n\nUtilities:\n\n- :func:`obj2str <lino.core.utils.obj2str>`\n- :func:`obj2unicode <lino.core.utils.obj2unicode>`\n- :func:`range_filter <lino.core.utils.range_filter>`,\n :func:`inrange_filter <lino.core.utils.inrange_filter>`\n- :func:`full_model_name <lino.core.utils.full_model_name>`\n- :func:`fields_list <lino.core.fields.fields_list>`\n- :func:`chooser <lino.utils.choosers.chooser>`\n- :class: `ParameterPanel <lino.core.utils.ParameterPanel>`\n\n\nInter-app relations:\n\n- :func:`resolve_field <lino.core.utils.resolve_field>`\n- :func:`resolve_model <lino.core.utils.resolve_model>`\n- :func:`resolve_app <lino.core.utils.resolve_app>`\n- :func:`update_field <lino.core.inject.update_field>`\n- :func:`inject_field <lino.core.inject.inject_field>`\n- :func:`inject_action <lino.core.inject.inject_action>`\n- :func:`update_model <lino.core.inject.update_model>`\n\n- :func:`inject_quick_add_buttons <lino.core.inject.inject_quick_add_buttons>`\n\nSignals:\n\n- See :ref:`lino.signals`\n\nActions:\n\n- :class:`Action <lino.core.actions.Action>`\n- :class:`ChangeStateAction <lino.core.workflows.ChangeStateAction>`\n- :class:`NotifyingAction <lino.core.actions.NotifyingAction>`\n- :class:`MergeAction <lino.core.merge.MergeAction>`\n- :class:`ShowSlaveTable <lino.core.actions.ShowSlaveTable>`\n- :class:`PrintTableAction <lino.utils.appy_pod.PrintTableAction>`\n\nPermissions:\n\n- :class:`UserGroups <lino.modlib.users.mixins.UserGroups>`\n- :class:`UserLevels <lino.modlib.users.mixins.UserLevels>`\n- :func:`add_user_group <lino.modlib.users.mixins.add_user_group>`\n\n\nWorkflows:\n\n- :class:`Workflow <lino.core.workflows.Workflow>`\n- :class:`State <lino.core.workflows.State>`\n\n\n\"\"\"\n\nfrom __future__ import unicode_literals\nfrom __future__ import print_function\n\n\nimport logging\nlogger = logging.getLogger(__name__)\n\"\"\"\nShortcut to the main Lino logger.\n\"\"\"\n\n# logger.info(\"20140227 dd.py a\")\n\nfrom django.conf import settings\nfrom django.utils.encoding import python_2_unicode_compatible\n\nfrom lino.core.tables import VirtualTable\n\nfrom lino.core.utils import resolve_model, UnresolvedModel\n\nfrom lino.core.utils import resolve_app, require_app_models\nfrom lino.core.utils import resolve_field, get_field\nfrom lino.core.utils import obj2str\nfrom lino.core.utils import obj2unicode\nfrom lino.core.utils import range_filter\nfrom lino.core.utils import inrange_filter\nfrom lino.core.utils import full_model_name\n\nfrom lino.core.model import Model\n\"Shortcut to :class:`lino.core.model.Model`.\"\n\nfrom lino.core.merge import MergeAction\n\nfrom lino.core.actors import Actor\n\nfrom lino.core.dbtables import has_fk\nfrom lino.core.dbtables import Table\nfrom django.db.models.fields import FieldDoesNotExist\nfrom django.db import models\n\nfrom lino.core.frames import Frame\nfrom lino.core.tables import VentilatingTable\n\nfrom lino.core.actions import action\nfrom lino.core.actions import Action\nfrom lino.core.actions import MultipleRowAction\nfrom lino.core.actions import ShowSlaveTable\n\nfrom lino.core.actions import GridEdit, ShowDetailAction\nfrom lino.core.actions import InsertRow, DeleteSelected\nfrom lino.core.actions import SubmitDetail, SubmitInsert\n\nfrom lino.core.choicelists import ChoiceList, Choice\nfrom lino.core.workflows import State, Workflow, ChangeStateAction\nfrom lino.core.actions import NotifyingAction\n\n\nfrom lino.core.fields import fields_list, ImportedFields\nfrom lino.core.fields import Dummy, DummyField\n\n# 20140314 need a Dummy object to define a dummy module\n# from lino.core.layouts import BaseLayout as Dummy # 20140314\n# from lino.core.actors import Actor as Dummy # 20140314\n\nfrom lino.core.fields import CustomField\nfrom lino.core.fields import RecurrenceField\nfrom lino.core.fields import IncompleteDateField\nfrom lino.core.fields import DatePickerField\nfrom lino.core.fields import NullCharField\nfrom lino.core.fields import PasswordField\nfrom lino.core.fields import MonthField\nfrom lino.core.fields import PercentageField\n#~ from lino.core.fields import LinkedForeignKey\nfrom lino.core.fields import QuantityField\nfrom lino.core.fields import DurationField\nfrom lino.core.fields import HtmlBox, PriceField, RichTextField\n\nfrom lino.core.fields import DisplayField, displayfield, htmlbox\nfrom lino.core.fields import VirtualField, virtualfield\nfrom lino.core.fields import RequestField, requestfield\nfrom lino.core.fields import Constant, constant\nfrom lino.core.fields import ForeignKey\nfrom lino.core.fields import CharField\n\n# from lino_xl.lib.appypod.mixins import PrintTableAction\n\nfrom lino.core.utils import babelkw\n# from lino.core.utils import babelattr\nfrom lino.core.utils import babel_values # alias for babelkw for backward compat\n\nfrom lino.utils.choosers import chooser, action_chooser\n\nfrom lino.core.layouts import FormLayout, DetailLayout, InsertLayout, Panel\nfrom lino.core.layouts import ParamsLayout\nfrom lino.core.layouts import DummyPanel\n\n\nfrom lino.core.signals import on_ui_created, pre_ui_delete, on_ui_updated\n\nfrom lino.core.signals import database_connected\nfrom lino.core.signals import database_ready\nfrom lino.core.signals import pre_startup, post_startup\nfrom lino.core.signals import pre_analyze\nfrom lino.core.signals import post_analyze\nfrom lino.core.signals import auto_create\nfrom lino.core.signals import pre_merge\nfrom lino.core.signals import pre_add_child\nfrom lino.core.signals import pre_remove_child\nfrom lino.core.signals import pre_ui_build\nfrom lino.core.signals import post_ui_build\n\nfrom django.db.models.signals import pre_save, post_save\nfrom django.db.models.signals import pre_init, post_init\nfrom django.db.models.signals import class_prepared\n\nfrom django.db.backends.signals import connection_created\n\nfrom django.dispatch import receiver\n#~ from lino.core import signals\n\n\nfrom django.db.models.fields import NOT_PROVIDED\n\n#~ class Module(object):\n #~ pass\n\nfrom lino.core.inject import inject_action\nfrom lino.core.inject import inject_field\nfrom lino.core.inject import update_model\nfrom lino.core.inject import update_field\nfrom lino.core.inject import inject_quick_add_buttons\nfrom lino.core.inject import do_when_prepared, when_prepared\n\nfrom lino.core.utils import ParameterPanel, PseudoRequest\n\n#from lino.modlib.users.choicelists import UserLevels, UserGroups\n#from lino.modlib.users.utils import add_user_group\n\n\nfrom lino.utils import IncompleteDate\n\nfrom lino.utils.format_date import fdm, fdl, fdf, fdmy\nfrom lino.utils.format_date import fds as fds_\n\n\n\n# backward compatibility\ndtos = fds\nfrom lino.utils.format_date import fdl as dtosl\n\nbabelitem = settings.SITE.babelitem\nfield2kw = settings.SITE.field2kw\n\nfrom lino.utils.mldbc.fields import BabelTextField\nfrom lino.utils.mldbc.fields import BabelCharField, LanguageField\n\nfrom lino.modlib.system.choicelists import Genders, PeriodEvents, YesNo\n\nfrom importlib import import_module\n\n# The following are not only shortcuts, they also are a preparation to\n# encapsulate the `settings.SITE` name. It is possible that after\n# Django 1.7 we no longer need a `settings.SITE`. So I plan to\n# deprecate direct access to settings.SITE in application code. I am\n# not yet 100% sure whether this will be possible and makes sense.\n\ndecfmt = settings.SITE.decfmt\nstr2kw = settings.SITE.str2kw\n\n\n# today = settings.SITE.today\nstrftime = settings.SITE.strftime\ndemo_date = settings.SITE.demo_date\nis_abstract_model = settings.SITE.is_abstract_model\nis_installed = settings.SITE.is_installed\n# get_db_overview_rst = settings.SITE.get_db_overview_rst\nadd_welcome_handler = settings.SITE.add_welcome_handler\nbuild_media_url = settings.SITE.build_media_url\nbuild_static_url = settings.SITE.build_static_url\nget_default_language = settings.SITE.get_default_language\nresolve_languages = settings.SITE.resolve_languages\nbabelattr = settings.SITE.babelattr\n\napps = plugins = settings.SITE.plugins\n# `apps` is an alias for `plugins`. We recommend plugins since `apps`\n# is being used by Django 1.7\n\n\n\nfrom django.utils import translation\nget_language = translation.get_language\n\nfrom lino.core.roles import SiteStaff, SiteUser, SiteAdmin, login_required\n\n\n# deprecated aliases:\nRequired = required = login_required\n\n# logger.info(\"20140227 dd.py b %s\", site)\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "def fds(d):\n \"\"\"\n Adds support for :class:`lino.fields.IncompleteDate`.\n \"\"\"\n if isinstance(d, IncompleteDate):\n return fds_(d.as_date())\n return fds_(d)", "metadata": "root.fds", "header": "['module', '___EOS___']", "index": 258 }, { "content": "def today(*args, **kwargs):\n # make it serializable for Django migrations\n return settings.SITE.today(*args, **kwargs)", "metadata": "root.today", "header": "['module', '___EOS___']", "index": 290 }, { "content": "def resolve_plugin(app_label):\n return plugins.get(app_label, None)", "metadata": "root.resolve_plugin", "header": "['module', '___EOS___']", "index": 311 } ]

[ { "span": "from django.utils.encoding import python_2_unicode_compatible", "start_line": 127, "start_column": 0, "end_line": 127, "end_column": 61 }, { "span": "from lino.core.tables import VirtualTable", "start_line": 129, "start_column": 0, "end_line": 129, "end_column": 41 }, { "span": "from lino.core.utils import resolve_model, UnresolvedModel", "start_line": 131, "start_column": 0, "end_line": 131, "end_column": 58 }, { "span": "from lino.core.utils import resolve_app, require_app_models", "start_line": 133, "start_column": 0, "end_line": 133, "end_column": 59 }, { "span": "from lino.core.utils import resolve_field, get_field", "start_line": 134, "start_column": 0, "end_line": 134, "end_column": 52 }, { "span": "from lino.core.utils import obj2str", "start_line": 135, "start_column": 0, "end_line": 135, "end_column": 35 }, { "span": "from lino.core.utils import obj2unicode", "start_line": 136, "start_column": 0, "end_line": 136, "end_column": 39 }, { "span": "from lino.core.utils import range_filter", "start_line": 137, "start_column": 0, "end_line": 137, "end_column": 40 }, { "span": "from lino.core.utils import inrange_filter", "start_line": 138, "start_column": 0, "end_line": 138, "end_column": 42 }, { "span": "from lino.core.utils import full_model_name", "start_line": 139, "start_column": 0, "end_line": 139, "end_column": 43 }, { "span": "from lino.core.model import Model", "start_line": 141, "start_column": 0, "end_line": 141, "end_column": 33 }, { "span": "from lino.core.merge import MergeAction", "start_line": 144, "start_column": 0, "end_line": 144, "end_column": 39 }, { "span": "from lino.core.actors import Actor", "start_line": 146, "start_column": 0, "end_line": 146, "end_column": 34 }, { "span": "from lino.core.dbtables import has_fk", "start_line": 148, "start_column": 0, "end_line": 148, "end_column": 37 }, { "span": "from lino.core.dbtables import Table", "start_line": 149, "start_column": 0, "end_line": 149, "end_column": 36 }, { "span": "from django.db.models.fields import FieldDoesNotExist", "start_line": 150, "start_column": 0, "end_line": 150, "end_column": 53 }, { "span": "from django.db import models", "start_line": 151, "start_column": 0, "end_line": 151, "end_column": 28 }, { "span": "from lino.core.frames import Frame", "start_line": 153, "start_column": 0, "end_line": 153, "end_column": 34 }, { "span": "from lino.core.tables import VentilatingTable", "start_line": 154, "start_column": 0, "end_line": 154, "end_column": 45 }, { "span": "from lino.core.actions import action", "start_line": 156, "start_column": 0, "end_line": 156, "end_column": 36 }, { "span": "from lino.core.actions import Action", "start_line": 157, "start_column": 0, "end_line": 157, "end_column": 36 }, { "span": "from lino.core.actions import MultipleRowAction", "start_line": 158, "start_column": 0, "end_line": 158, "end_column": 47 }, { "span": "from lino.core.actions import ShowSlaveTable", "start_line": 159, "start_column": 0, "end_line": 159, "end_column": 44 }, { "span": "from lino.core.actions import GridEdit, ShowDetailAction", "start_line": 161, "start_column": 0, "end_line": 161, "end_column": 56 }, { "span": "from lino.core.actions import InsertRow, DeleteSelected", "start_line": 162, "start_column": 0, "end_line": 162, "end_column": 55 }, { "span": "from lino.core.actions import SubmitDetail, SubmitInsert", "start_line": 163, "start_column": 0, "end_line": 163, "end_column": 56 }, { "span": "from lino.core.choicelists import ChoiceList, Choice", "start_line": 165, "start_column": 0, "end_line": 165, "end_column": 52 }, { "span": "from lino.core.workflows import State, Workflow, ChangeStateAction", "start_line": 166, "start_column": 0, "end_line": 166, "end_column": 66 }, { "span": "from lino.core.actions import NotifyingAction", "start_line": 167, "start_column": 0, "end_line": 167, "end_column": 45 }, { "span": "from lino.core.fields import fields_list, ImportedFields", "start_line": 170, "start_column": 0, "end_line": 170, "end_column": 56 }, { "span": "from lino.core.fields import Dummy, DummyField", "start_line": 171, "start_column": 0, "end_line": 171, "end_column": 46 }, { "span": "from lino.core.fields import CustomField", "start_line": 177, "start_column": 0, "end_line": 177, "end_column": 40 }, { "span": "from lino.core.fields import RecurrenceField", "start_line": 178, "start_column": 0, "end_line": 178, "end_column": 44 }, { "span": "from lino.core.fields import IncompleteDateField", "start_line": 179, "start_column": 0, "end_line": 179, "end_column": 48 }, { "span": "from lino.core.fields import DatePickerField", "start_line": 180, "start_column": 0, "end_line": 180, "end_column": 44 }, { "span": "from lino.core.fields import NullCharField", "start_line": 181, "start_column": 0, "end_line": 181, "end_column": 42 }, { "span": "from lino.core.fields import PasswordField", "start_line": 182, "start_column": 0, "end_line": 182, "end_column": 42 }, { "span": "from lino.core.fields import MonthField", "start_line": 183, "start_column": 0, "end_line": 183, "end_column": 39 }, { "span": "from lino.core.fields import PercentageField", "start_line": 184, "start_column": 0, "end_line": 184, "end_column": 44 }, { "span": "from lino.core.fields import QuantityField", "start_line": 186, "start_column": 0, "end_line": 186, "end_column": 42 }, { "span": "from lino.core.fields import DurationField", "start_line": 187, "start_column": 0, "end_line": 187, "end_column": 42 }, { "span": "from lino.core.fields import HtmlBox, PriceField, RichTextField", "start_line": 188, "start_column": 0, "end_line": 188, "end_column": 63 }, { "span": "from lino.core.fields import DisplayField, displayfield, htmlbox", "start_line": 190, "start_column": 0, "end_line": 190, "end_column": 64 }, { "span": "from lino.core.fields import VirtualField, virtualfield", "start_line": 191, "start_column": 0, "end_line": 191, "end_column": 55 }, { "span": "from lino.core.fields import RequestField, requestfield", "start_line": 192, "start_column": 0, "end_line": 192, "end_column": 55 }, { "span": "from lino.core.fields import Constant, constant", "start_line": 193, "start_column": 0, "end_line": 193, "end_column": 47 }, { "span": "from lino.core.fields import ForeignKey", "start_line": 194, "start_column": 0, "end_line": 194, "end_column": 39 }, { "span": "from lino.core.fields import CharField", "start_line": 195, "start_column": 0, "end_line": 195, "end_column": 38 }, { "span": "from lino.core.utils import babelkw", "start_line": 199, "start_column": 0, "end_line": 199, "end_column": 35 }, { "span": "from lino.core.utils import babel_values ", "start_line": 201, "start_column": 0, "end_line": 201, "end_column": 40 }, { "span": "from lino.utils.choosers import chooser, action_chooser", "start_line": 203, "start_column": 0, "end_line": 203, "end_column": 55 }, { "span": "from lino.core.layouts import FormLayout, DetailLayout, InsertLayout, Panel", "start_line": 205, "start_column": 0, "end_line": 205, "end_column": 75 }, { "span": "from lino.core.layouts import ParamsLayout", "start_line": 206, "start_column": 0, "end_line": 206, "end_column": 42 }, { "span": "from lino.core.layouts import DummyPanel", "start_line": 207, "start_column": 0, "end_line": 207, "end_column": 40 }, { "span": "from lino.core.signals import on_ui_created, pre_ui_delete, on_ui_updated", "start_line": 210, "start_column": 0, "end_line": 210, "end_column": 73 }, { "span": "from lino.core.signals import database_connected", "start_line": 212, "start_column": 0, "end_line": 212, "end_column": 48 }, { "span": "from lino.core.signals import database_ready", "start_line": 213, "start_column": 0, "end_line": 213, "end_column": 44 }, { "span": "from lino.core.signals import pre_startup, post_startup", "start_line": 214, "start_column": 0, "end_line": 214, "end_column": 55 }, { "span": "from lino.core.signals import pre_analyze", "start_line": 215, "start_column": 0, "end_line": 215, "end_column": 41 }, { "span": "from lino.core.signals import post_analyze", "start_line": 216, "start_column": 0, "end_line": 216, "end_column": 42 }, { "span": "from lino.core.signals import auto_create", "start_line": 217, "start_column": 0, "end_line": 217, "end_column": 41 }, { "span": "from lino.core.signals import pre_merge", "start_line": 218, "start_column": 0, "end_line": 218, "end_column": 39 }, { "span": "from lino.core.signals import pre_add_child", "start_line": 219, "start_column": 0, "end_line": 219, "end_column": 43 }, { "span": "from lino.core.signals import pre_remove_child", "start_line": 220, "start_column": 0, "end_line": 220, "end_column": 46 }, { "span": "from lino.core.signals import pre_ui_build", "start_line": 221, "start_column": 0, "end_line": 221, "end_column": 42 }, { "span": "from lino.core.signals import post_ui_build", "start_line": 222, "start_column": 0, "end_line": 222, "end_column": 43 }, { "span": "from django.db.models.signals import pre_save, post_save", "start_line": 224, "start_column": 0, "end_line": 224, "end_column": 56 }, { "span": "from django.db.models.signals import pre_init, post_init", "start_line": 225, "start_column": 0, "end_line": 225, "end_column": 56 }, { "span": "from django.db.models.signals import class_prepared", "start_line": 226, "start_column": 0, "end_line": 226, "end_column": 51 }, { "span": "from django.db.backends.signals import connection_created", "start_line": 228, "start_column": 0, "end_line": 228, "end_column": 57 }, { "span": "from django.dispatch import receiver", "start_line": 230, "start_column": 0, "end_line": 230, "end_column": 36 }, { "span": "from django.db.models.fields import NOT_PROVIDED", "start_line": 234, "start_column": 0, "end_line": 234, "end_column": 48 }, { "span": "from lino.core.inject import inject_action", "start_line": 239, "start_column": 0, "end_line": 239, "end_column": 42 }, { "span": "from lino.core.inject import inject_field", "start_line": 240, "start_column": 0, "end_line": 240, "end_column": 41 }, { "span": "from lino.core.inject import update_model", "start_line": 241, "start_column": 0, "end_line": 241, "end_column": 41 }, { "span": "from lino.core.inject import update_field", "start_line": 242, "start_column": 0, "end_line": 242, "end_column": 41 }, { "span": "from lino.core.inject import inject_quick_add_buttons", "start_line": 243, "start_column": 0, "end_line": 243, "end_column": 53 }, { "span": "from lino.core.inject import do_when_prepared, when_prepared", "start_line": 244, "start_column": 0, "end_line": 244, "end_column": 60 }, { "span": "from lino.core.utils import ParameterPanel, PseudoRequest", "start_line": 246, "start_column": 0, "end_line": 246, "end_column": 57 }, { "span": "from lino.utils.format_date import fdm, fdl, fdf, fdmy", "start_line": 254, "start_column": 0, "end_line": 254, "end_column": 54 }, { "span": "from lino.utils.format_date import fdl as dtosl", "start_line": 268, "start_column": 0, "end_line": 268, "end_column": 47 }, { "span": "from lino.utils.mldbc.fields import BabelTextField", "start_line": 273, "start_column": 0, "end_line": 273, "end_column": 50 }, { "span": "from lino.utils.mldbc.fields import BabelCharField, LanguageField", "start_line": 274, "start_column": 0, "end_line": 274, "end_column": 65 }, { "span": "from lino.modlib.system.choicelists import Genders, PeriodEvents, YesNo", "start_line": 276, "start_column": 0, "end_line": 276, "end_column": 71 }, { "span": "from importlib import import_module", "start_line": 278, "start_column": 0, "end_line": 278, "end_column": 35 }, { "span": "from lino.core.roles import SiteStaff, SiteUser, SiteAdmin, login_required", "start_line": 317, "start_column": 0, "end_line": 317, "end_column": 74 } ]

[]

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[ { "content": " def _test_start_abort_on_sla_failure(self, cfg, times):\n rally = utils.Rally()\n deployment_id = utils.get_global(\"RALLY_DEPLOYMENT\", rally.env)\n config = utils.TaskConfig(cfg)\n rally((\"task start --task %(task_file)s \"\n \"--deployment %(deployment_id)s --abort-on-sla-failure\") %\n {\"task_file\": config.filename,\n \"deployment_id\": deployment_id})\n results = json.loads(rally(\"task results\"))\n iterations_completed = len(results[0][\"result\"])\n self.assertTrue(iterations_completed < times)", "metadata": "root.TaskTestCase._test_start_abort_on_sla_failure", "header": "['class', 'TaskTestCase', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 522 }, { "content": " def test_abort(self):\n RUNNER_TIMES = 10\n cfg = {\n \"Dummy.dummy\": [\n {\n \"args\": {\n \"sleep\": 5\n },\n \"runner\": {\n \"type\": \"serial\",\n \"times\": RUNNER_TIMES\n }\n }\n ]\n }\n rally = utils.Rally()\n task, uuid = self._start_task_in_new_thread(\n rally, cfg, \"test_abort-thread_with_abort.txt\")\n rally(\"task abort %s\" % uuid)\n task.join()\n results = json.loads(rally(\"task results\"))\n iterations_completed = len(results[0][\"result\"])\n # NOTE(msdubov): check that the task is really stopped before\n # the specified number of iterations\n self.assertTrue(iterations_completed < RUNNER_TIMES)\n self.assertIn(\"aborted\", rally(\"task status\"))\n report = rally.gen_report_path(extension=\"html\")\n rally(\"task report --out %s\" % report)", "metadata": "root.TaskTestCase.test_abort", "header": "['class', 'TaskTestCase', '(', 'unittest', '.', 'TestCase', ')', ':', '___EOS___']", "index": 678 } ]

[ { "span": "self.assertTrue(iterations_completed < times)", "start_line": 532, "start_column": 8, "end_line": 532, "end_column": 53 }, { "span": "self.assertTrue(iterations_completed < RUNNER_TIMES)", "start_line": 702, "start_column": 8, "end_line": 702, "end_column": 60 } ]

[]

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[ { "content": "def configure(ctx):\n\n #ctx.load('c_config')\n #ctx.load('compiler_cc')\n #ctx.load('compiler_cxx')\n\n variant = os.environ.get('HWAF_VARIANT', os.environ.get('CMTCFG', None))\n if not variant and ctx.options.variant:\n variant = ctx.options.variant\n pass\n\n cfg_arch = None\n cfg_os = None\n cfg_comp = 'gcc'\n cfg_type = None\n \n if not variant or variant == 'default':\n msg.debug('hwaf: detecting default HWAF_VARIANT...')\n cfg_type = 'opt'\n if ctx.is_darwin(): cfg_os = 'darwin'\n elif ctx.is_linux(): cfg_os = 'linux'\n elif ctx.is_freebsd(): cfg_os = 'freebsd'\n else: cfg_os = 'win'\n \n\n if ctx.is_host_32b(): cfg_arch = 'i686'\n elif ctx.is_host_64b(): cfg_arch = 'x86_64'\n else: cfg_arch = 'x86_64'\n\n variant = '-'.join([cfg_arch, cfg_os,\n cfg_comp, cfg_type])\n pass\n \n o = variant.split('-')\n if len(o) != 4:\n ctx.fatal(\n (\"Invalid HWAF_VARIANT (%s). Expected ARCH-OS-COMP-OPT. \" +\n \"ex: x86_64-linux-gcc-opt\") %\n variant)\n \n if o[1].startswith('mac'): o[1] = 'darwin'\n if o[1].startswith('slc'): o[1] = 'linux'\n\n #if o[2].startswith('gcc'):\n # o[2] = 'gcc'\n\n ctx.env.HWAF_VARIANT = variant\n ctx.env.CFG_QUADRUPLET = o\n \n ctx.env.CFG_ARCH, \\\n ctx.env.CFG_OS, \\\n ctx.env.CFG_COMPILER, \\\n ctx.env.CFG_TYPE = ctx.env.CFG_QUADRUPLET\n\n projname = waflib.Context.g_module.APPNAME\n if not projname:\n projname = osp.basename(os.getcwd())\n waflib.Context.g_module.APPNAME = projname\n pass\n ctx.env.HWAF_PROJECT_NAME = projname\n\n projvers = waflib.Context.g_module.VERSION\n if ctx.options.project_version:\n projvers = ctx.options.project_version\n pass\n waflib.Context.g_module.VERSION = projvers\n ctx.env.HWAF_PROJECT_VERSION = projvers\n \n if not ctx.env.HWAF_TAGS: ctx.env['HWAF_TAGS'] = {}\n if not ctx.env.HWAF_ACTIVE_TAGS: ctx.env['HWAF_ACTIVE_TAGS'] = []\n if not ctx.env.HWAF_PATH_VARS: ctx.env['HWAF_PATH_VARS'] = []\n\n pkgdir = os.environ.get('PKGDIR', None)\n if not pkgdir and ctx.options.pkgdir:\n pkgdir = ctx.options.pkgdir\n pass\n if not pkgdir:\n pkgdir = 'src'\n pass\n ctx.env.PKGDIR = pkgdir\n\n if ctx.options.destdir:\n ctx.env.DESTDIR = ctx.options.destdir\n pass\n\n ctx.env.PREFIX = ctx.options.prefix or \"/usr\"\n ctx.env.PREFIX = osp.abspath(ctx.env.get_flat('PREFIX'))\n\n relocate_from = ctx.options.relocate_from\n if not relocate_from:\n relocate_from = ctx.env.PREFIX\n pass\n ctx.env.HWAF_RELOCATE = relocate_from\n \n # take INSTALL_AREA from PREFIX\n ctx.env.INSTALL_AREA = ctx.env.PREFIX\n if ctx.env.DESTDIR:\n pass\n\n # percolate HWAF_VARIANT\n ctx.hwaf_declare_tag(ctx.env.HWAF_VARIANT, content=ctx.env.HWAF_VARIANT.split(\"-\"))\n ctx.hwaf_apply_tag(ctx.env.HWAF_VARIANT)\n\n # backward compat\n ctx.env.CMTCFG = ctx.env.HWAF_VARIANT\n return", "metadata": "root.configure", "header": "['module', '___EOS___']", "index": 40 } ]

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[ { "content": "\"\"\" Sahana Eden Test Framework\n\n @copyright: 2011-2016 (c) Sahana Software Foundation\n @license: MIT\n\n Permission is hereby granted, free of charge, to any person\n obtaining a copy of this software and associated documentation\n files (the \"Software\"), to deal in the Software without\n restriction, including without limitation the rights to use,\n copy, modify, merge, publish, distribute, sublicense, and/or sell\n copies of the Software, and to permit persons to whom the\n Software is furnished to do so, subject to the following\n conditions:\n\n The above copyright notice and this permission notice shall be\n included in all copies or substantial portions of the Software.\n\n THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND,\n EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES\n OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND\n NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT\n HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,\n WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR\n OTHER DEALINGS IN THE SOFTWARE.\n\"\"\"\n\nfrom time import time\ntry:\n from cStringIO import StringIO # Faster, where available\nexcept:\n from StringIO import StringIO\nimport sys\nimport socket\n\nfrom tests.web2unittest import Web2UnitTest\nfrom gluon import current\ntry:\n from twill import get_browser\n from twill import set_output\n from twill.browser import *\nexcept ImportError:\n raise NameError(\"Twill not installed\")\ntry:\n import mechanize\n #from mechanize import BrowserStateError\n #from mechanize import ControlNotFoundError\nexcept ImportError:\n raise NameError(\"Mechanize not installed\")\n\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class BrokenLinkTest(Web2UnitTest):\n \"\"\" Smoke Test, visit every link it can find and report on the outcome \"\"\"\n\n\n\n\n\n# socket.setdefaulttimeout(value*2)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", "metadata": "root.BrokenLinkTest", "header": "['module', '___EOS___']", "index": 50 }, { "content": " def __init__(self):\n Web2UnitTest.__init__(self)\n self.b = get_browser()\n self.b_data = StringIO()\n set_output(self.b_data)\n self.clearRecord()\n # This string must exist in the URL for it to be followed\n # Useful to avoid going to linked sites\n self.homeURL = self.url\n # Link used to identify a URL to a ticket\n self.url_ticket = \"/admin/default/ticket/\"\n # Tuple of strings that if in the URL will be ignored\n # Useful to avoid dynamic URLs that trigger the same functionality\n self.include_ignore = (\"_language=\",\n \"logout\",\n \"appadmin\",\n \"admin\",\n \"delete\",\n )\n # tuple of strings that should be removed from the URL before storing\n # Typically this will be some variables passed in via the URL\n self.strip_url = (\"?_next=\",\n )\n self.reportOnly = False\n self.maxDepth = 16 # sanity check\n self.setThreshold(10)\n self.setUser(\"test@example.com/eden\")\n self.total_visited = 0\n self.broken_links_count = 0", "metadata": "root.BrokenLinkTest.__init__", "header": "['class', 'BrokenLinkTest', '(', 'Web2UnitTest', ')', ':', '___EOS___']", "index": 52 }, { "content": " def clearRecord(self):\n # the total url links visited\n self.totalLinks = 0\n # The number of unique urls found at depth i, where i is the index\n self.linkDepth = []\n # Dictionary of the parent for each URL\n self.urlParentList = {}\n # dictionary of ReportData objects indexed on the url\n self.results = {}", "metadata": "root.BrokenLinkTest.clearRecord", "header": "['class', 'BrokenLinkTest', '(', 'Web2UnitTest', ')', ':', '___EOS___']", "index": 82 }, { "content": " def setReportOnly(self, action):\n self.reportOnly = action", "metadata": "root.BrokenLinkTest.setReportOnly", "header": "['class', 'BrokenLinkTest', '(', 'Web2UnitTest', ')', ':', '___EOS___']", "index": 92 }, { "content": " def setDepth(self, depth):\n self.maxDepth = depth", "metadata": "root.BrokenLinkTest.setDepth", "header": "['class', 'BrokenLinkTest', '(', 'Web2UnitTest', ')', ':', '___EOS___']", "index": 95 }, { "content": " def setUser(self, user):\n self.credentials = user.split(\",\")", "metadata": "root.BrokenLinkTest.setUser", "header": "['class', 'BrokenLinkTest', '(', 'Web2UnitTest', ')', ':', '___EOS___']", "index": 98 }, { "content": " def setThreshold(self, value):\n value = float(value)\n self.threshold = value", "metadata": "root.BrokenLinkTest.setThreshold", "header": "['class', 'BrokenLinkTest', '(', 'Web2UnitTest', ')', ':', '___EOS___']", "index": 101 }, { "content": " def login(self, credentials):\n if credentials == \"UNAUTHENTICATED\":\n url = \"%s/default/user/logout\" % self.homeURL\n self.b.go(url)\n return True\n try:\n (self.user, self.password) = credentials.split(\"/\",1)\n except:\n msg = \"Unable to split %s into a user name and password\" % user\n self.reporter(msg)\n return False\n url = \"%s/default/user/login\" % self.homeURL\n self.b.go(url)\n forms = self.b.get_all_forms()\n for form in forms:\n try:\n if form[\"_formname\"] == \"login\":\n self.b._browser.form = form\n form[\"email\"] = self.user\n form[\"password\"] = self.password\n self.b.submit(\"Login\")\n # If login is successful then should be redirected to the homepage\n return self.b.get_url()[len(self.homeURL):] == \"/default/index\"\n except:\n # This should be a mechanize.ControlNotFoundError, but\n # for some unknown reason that isn't caught on Windows or Mac\n pass\n return False", "metadata": "root.BrokenLinkTest.login", "header": "['class', 'BrokenLinkTest', '(', 'Web2UnitTest', ')', ':', '___EOS___']", "index": 106 }, { "content": " def addResults2Current(self):\n '''\n Store the count links in gluon.current to be used by HTMLTestRunner for better reporting\n '''\n smoke_results = {}\n smoke_results['working_links'] = self.total_visited - self.broken_links_count\n smoke_results['broken_links_count'] = self.broken_links_count\n current.data['smoke_results'] = smoke_results", "metadata": "root.BrokenLinkTest.addResults2Current", "header": "['class', 'BrokenLinkTest', '(', 'Web2UnitTest', ')', ':', '___EOS___']", "index": 135 }, { "content": " def runTest(self):\n \"\"\"\n Test to find all exposed links and check the http code returned.\n\n This test doesn't run any javascript so some false positives\n will be found.\n\n The test can also display an histogram depicting the number of\n links found at each depth.\n\n Failure or Success to be shown in the report is checked in addSuccess in TestResult\n class\n \"\"\"\n for user in self.credentials:\n self.clearRecord()\n if self.login(user):\n self.reporter(\"Smoke Test for user %s\" % self.user)\n self.visitLinks()\n self.report()\n self.addResults2Current()\n else:\n raise Exception(\"Login Failed\")", "metadata": "root.BrokenLinkTest.runTest", "header": "['class', 'BrokenLinkTest', '(', 'Web2UnitTest', ')', ':', '___EOS___']", "index": 144 }, { "content": " def visitLinks(self):\n url = self.homeURL + \"/default/index\"\n to_visit = [url]\n start = time()\n self.total_visited = 0\n if not self.reportOnly:\n for depth in range(self.maxDepth):\n if len(to_visit) == 0:\n break\n self.linkDepth.append(len(to_visit))\n self.totalLinks += len(to_visit)\n visit_start = time()\n url_visited = \"%d urls\" % len(to_visit)\n self.total_visited += len(to_visit)\n to_visit = self.visit(to_visit, depth)\n msg = \"%.2d Visited %s in %.3f seconds, %d more urls found\" % (depth, url_visited, time()-visit_start, len(to_visit))\n self.reporter(msg)\n if self.config.verbose >= 2:\n if self.config.verbose >= 3:\n print >> self.stdout\n if self.stdout.isatty(): # terminal should support colour\n msg = \"%.2d Visited \\033[1;32m%s\\033[0m in %.3f seconds, \\033[1;31m%d\\033[0m more urls found\" % (depth, url_visited, time()-visit_start, len(to_visit))\n print >> self.stdout, msg\n if len(to_visit) > 0:\n self.linkDepth.append(len(to_visit))\n finish = time()\n self.reporter(\"Finished took %.3f seconds\" % (finish - start))", "metadata": "root.BrokenLinkTest.visitLinks", "header": "['class', 'BrokenLinkTest', '(', 'Web2UnitTest', ')', ':', '___EOS___']", "index": 167 }, { "content": " def visit(self, url_list, depth):\n repr_list = [\".pdf\", \".xls\", \".rss\", \".kml\"]\n to_visit = []\n record_data = self.config.verbose > 0\n for visited_url in url_list:\n index_url = visited_url[len(self.homeURL):]\n if record_data:\n if index_url in self.results.keys():\n print >> self.stdout, \"Warning duplicated url: %s\" % index_url\n self.results[index_url] = ReportData()\n current_results = self.results[index_url]\n current_results.depth = depth\n # Find out if the page can be visited\n open_novisit = False\n for repr in repr_list:\n if repr in index_url:\n open_novisit = True\n break\n try:\n if open_novisit:\n action = \"open_novisit\"\n else:\n action = \"open\"\n visit_start = time()\n self.b._journey(action, visited_url)\n http_code = self.b.get_code()\n duration = time() - visit_start\n if record_data:\n current_results.duration = duration\n if duration > self.threshold:\n if self.config.verbose >= 3:\n print >> self.stdout, \"%s took %.3f seconds\" % (visited_url, duration)\n except Exception as e:\n duration = time() - visit_start\n import traceback\n print traceback.format_exc()\n if record_data:\n current_results.broken = True\n current_results.exception = True\n current_results.duration = duration\n continue\n http_code = self.b.get_code()\n if http_code != 200:\n if record_data:\n current_results.broken = True\n current_results.http_code = http_code\n elif open_novisit:\n continue\n links = []\n try:\n if self.b._browser.viewing_html():\n links = self.b._browser.links()\n else:\n continue\n except Exception as e:\n import traceback\n print traceback.format_exc()\n if record_data:\n current_results.broken = True\n current_results.exception = True\n continue\n for link in (links):\n url = link.absolute_url\n if url.find(self.url_ticket) != -1:\n # A ticket was raised so...\n # capture the details and add to brokenLinks\n if record_data:\n current_results.broken = True\n current_results.ticket = url\n break # no need to check any other links on this page\n if url.find(self.homeURL) == -1:\n continue\n ignore_link = False\n for ignore in self.include_ignore:\n if url.find(ignore) != -1:\n ignore_link = True\n break\n if ignore_link:\n continue\n for strip in self.strip_url:\n location = url.find(strip)\n if location != -1:\n url = url[0:location]\n short_url = url[len(self.homeURL):]\n if url not in url_list and \\\n short_url != \"\" and \\\n short_url not in self.results.keys() and \\\n url not in to_visit:\n self.urlParentList[short_url] = index_url\n to_visit.append(url)\n return to_visit", "metadata": "root.BrokenLinkTest.visit", "header": "['class', 'BrokenLinkTest', '(', 'Web2UnitTest', ')', ':', '___EOS___']", "index": 195 }, { "content": " def report(self):\n self.reporter(\"%d URLs visited\" % self.totalLinks)\n self.brokenReport()\n self.timeReport()\n if self.config.record_timings:\n if not self.reportOnly:\n self.record_timings()\n self.scatterplot()\n self.depthReport()", "metadata": "root.BrokenLinkTest.report", "header": "['class', 'BrokenLinkTest', '(', 'Web2UnitTest', ')', ':', '___EOS___']", "index": 287 }, { "content": " def record_timings(self):\n import_error = \"\"\n try:\n import xlrd\n except:\n import_error += \"ERROR: the xlrd modules is needed to record timings\\n\"\n try:\n import xlwt\n except:\n import_error += \"ERROR: the xlwt modules is needed to record timings\\n\"\n if import_error != \"\":\n print >> self.stderr, import_error\n return\n rec_time_filename = self.config.record_timings_filename\n try:\n workbook = xlrd.open_workbook(filename=rec_time_filename,\n formatting_info=True)\n except:\n workbook = None\n summary = {}\n if workbook:\n summary = self.read_timings_sheet(workbook)\n if len(summary[\"date\"]) > 100:\n # Need to rotate the file\n # 1) make a summary and save this\n self.report_timings_summary(summary, rec_time_filename)\n # 2) archive the file\n from zipfile import ZipFile\n import os\n zip_filename = os.path.join(self.config.path, \"rec_time.zip\")\n archive = ZipFile(zip_filename, \"a\")\n arc_name = \"%s-%s.xls\" % (rec_time_filename[len(self.config.path):-4],\n current.request.now.date()\n )\n archive.write(rec_time_filename,arc_name)\n archive.close()\n # 3) clear the current file\n os.unlink(rec_time_filename)\n summary = {}\n if \"date\" not in summary:\n last_col = 0\n summary[\"date\"] = [current.request.now.date()]\n else:\n last_col = len(summary[\"date\"])\n summary[\"date\"].append(current.request.now.date())\n for (url, rd_obj) in self.results.items():\n if url not in summary:\n summary[url] = []\n # ensure that the row is as long as the number of dates\n shortage = last_col - len(summary[url])\n if shortage > 0:\n summary[url] = summary[url] + ['']*shortage\n summary[url].append((rd_obj.get_duration(), rd_obj.is_broken()))\n self.write_timings_sheet(summary, rec_time_filename)", "metadata": "root.BrokenLinkTest.record_timings", "header": "['class', 'BrokenLinkTest', '(', 'Web2UnitTest', ')', ':', '___EOS___']", "index": 297 }, { "content": " def read_timings_sheet(self, workbook):\n \"\"\"\n This will extract all the details from the xls sheet\n \"\"\"\n sheet = workbook.sheet_by_name(\"Timings\")\n summary = {}\n RED = 0x0A\n num_cells = sheet.ncols\n summary[\"date\"] = []\n for col in range(1, num_cells):\n summary[\"date\"].append(sheet.cell_value(0, col))\n for row in range(1,sheet.nrows):\n url = sheet.cell_value(row, 0)\n summary[url] = []\n for col in range(1, num_cells):\n duration = sheet.cell_value(row, col)\n xf = sheet.cell_xf_index(row, col)\n bg = workbook.xf_list[xf].background\n broken = (bg.pattern_colour_index == RED)\n summary[url].append((duration, broken))\n return summary", "metadata": "root.BrokenLinkTest.read_timings_sheet", "header": "['class', 'BrokenLinkTest', '(', 'Web2UnitTest', ')', ':', '___EOS___']", "index": 352 }, { "content": " def write_timings_sheet(self, summary, filename=None):\n import xlwt\n RED = 0x0A\n book = xlwt.Workbook(encoding=\"utf-8\")\n sheet = book.add_sheet(\"Timings\")\n stylebroken = xlwt.XFStyle()\n stylebroken.pattern.pattern = stylebroken.pattern.SOLID_PATTERN\n stylebroken.pattern.pattern_fore_colour = RED\n col = 1\n for date in summary[\"date\"]:\n sheet.write(0,col,str(date))\n col += 1\n row = 1\n for (url, results) in summary.items():\n if url == \"date\":\n continue\n sheet.write(row,0,url)\n col = 1\n for data in results:\n if len(data) == 2 and data[1]:\n sheet.write(row,col,data[0],stylebroken)\n elif len(data) > 0:\n sheet.write(row,col,data[0])\n col += 1\n row += 1\n if filename:\n book.save(filename)\n return book", "metadata": "root.BrokenLinkTest.write_timings_sheet", "header": "['class', 'BrokenLinkTest', '(', 'Web2UnitTest', ')', ':', '___EOS___']", "index": 374 }, { "content": " def report_timings_summary(self,\n summary,\n summary_file_name = None,\n mean_threshold = 1):\n \"\"\"\n This will extract the details from the sheet and optionally save\n them to a summary file\n\n summary: the summary details returned from the spreadsheet (read_timings_sheet)\n summary_file_name: name of the file to record the summary details (if required)\n mean_threshold: The minimum number of values required to include\n the mean in the regression calculations\n \"\"\"\n import numpy\n import datetime\n good_values = []\n other_values = []\n total_values = []\n for date in summary[\"date\"]:\n good_values.append([])\n other_values.append([])\n total_values.append([])\n for (url,results) in summary.items():\n if url == \"date\":\n continue\n else:\n cnt = 0\n for (duration, broken) in results:\n if duration != \"\":\n total_values[cnt].append(duration)\n if broken:\n other_values[cnt].append(duration)\n else:\n good_values[cnt].append(duration)\n cnt += 1\n # get the number of days each entry is after the first date\n # and calculate the average, if the average is NAN then ignore both\n date_summary = []\n gv_mean = []\n gv_std = []\n gv_date = []\n cnt = 0\n start = datetime.datetime.strptime(summary[\"date\"][0],\"%Y-%m-%d\")\n for list in good_values:\n if len(list) > mean_threshold:\n mean = numpy.mean(list)\n std = numpy.std(list)\n if not numpy.isnan(mean):\n this_date = datetime.datetime.strptime(summary[\"date\"][cnt],\"%Y-%m-%d\")\n date_summary.append((this_date - start).days)\n gv_mean.append(mean)\n gv_std.append(std)\n gv_date.append(summary[\"date\"][cnt])\n cnt += 1\n # calculate the regression line\n if len(gv_mean) > 2:\n (m,b) = numpy.polyfit(date_summary, gv_mean, 1)\n else:\n m = b = 0\n\n if summary_file_name != None:\n book = self.write_timings_sheet(summary)\n sheet = book.add_sheet(\"summary\")\n row = 0\n for date in gv_date:\n sheet.write(row,0,str(date))\n sheet.write(row,1,gv_mean[row])\n row += 1\n sheet.write(row,0,\"Trend\")\n sheet.write(row,1,m)\n # Save the details to the summary file\n book.save(summary_file_name)\n return (date_summary, gv_mean, gv_std, m, b)", "metadata": "root.BrokenLinkTest.report_timings_summary", "header": "['class', 'BrokenLinkTest', '(', 'Web2UnitTest', ')', ':', '___EOS___']", "index": 403 }, { "content": " def report_model_url(self):\n print \"Report breakdown by module\"\n for (model, value) in self.model_url.items():\n print model\n for ud in value:\n url = ud[0]\n depth = ud[1]\n parent = ud[2]\n tabs = \"\\t\" * depth\n print \"%s %s-%s (parent url - %s)\" % (tabs, depth, url, parent)", "metadata": "root.BrokenLinkTest.report_model_url", "header": "['class', 'BrokenLinkTest', '(', 'Web2UnitTest', ')', ':', '___EOS___']", "index": 477 }, { "content": " def brokenReport(self):\n self.reporter(\"Broken Links\")\n as_html = current.test_config.html\n self.broken_links_count = 0\n for (url, rd_obj) in self.results.items():\n if as_html:\n print_url = \"<a href=%s%s target=\\\"_blank\\\">%s</a>\" % (self.homeURL, url, url)\n else:\n print_url = url\n if rd_obj.is_broken():\n if rd_obj.threw_exception():\n msg = \"(Exception) %s\" % print_url\n else:\n http_code = rd_obj.return_http_code()\n ticket = rd_obj.the_ticket(as_html)\n try:\n parent = self.urlParentList[url]\n if as_html:\n parent = \"<a href=%s%s target=\\\"_blank\\\">Parent</a>\" % (self.homeURL, parent)\n except:\n parent = \"unknown\"\n msg = \"%3d. (%s - %s) %s called from %s\" % (self.broken_links_count + 1,\n http_code,\n ticket,\n print_url,\n parent\n )\n self.reporter(msg)\n self.broken_links_count += 1", "metadata": "root.BrokenLinkTest.brokenReport", "header": "['class', 'BrokenLinkTest', '(', 'Web2UnitTest', ')', ':', '___EOS___']", "index": 488 }, { "content": " def timeReport(self):\n from operator import itemgetter\n import numpy\n thresholdLink = {}\n linktimes = []\n for (url, rd_obj) in self.results.items():\n duration = rd_obj.get_duration()\n linktimes.append(duration)\n if duration > self.threshold:\n thresholdLink[url] = duration\n self.reporter(\"Time Analysis - Links beyond threshold\")\n for (visited_url, duration) in sorted(thresholdLink.iteritems(),\n key=itemgetter(1),\n reverse=True):\n self.reporter( \"%s took %.3f seconds\" % (visited_url, duration))\n\n self.reporter(\"Time Analysis - summary\")\n total = len(linktimes)\n average = numpy.mean(linktimes)\n std = numpy.std(linktimes)\n msg = \"%s links visited with an average time of %.3f and standard deviation of %.3f\" % (total, average, std)\n self.reporter(msg)", "metadata": "root.BrokenLinkTest.timeReport", "header": "['class', 'BrokenLinkTest', '(', 'Web2UnitTest', ')', ':', '___EOS___']", "index": 518 }, { "content": " def scatterplot(self):\n \"\"\"\n Method to draw a scatterplot of the average time to download links\n against time. Add a regression line to show the trend over time.\n \"\"\"\n try:\n from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas\n self.FigureCanvas = FigureCanvas\n from matplotlib.figure import Figure\n self.Figure = Figure\n import numpy\n except ImportError:\n return\n try:\n import xlrd\n except:\n import_error += \"ERROR: the xlrd modules is needed to record timings\\n\"\n rec_time_filename = self.config.record_timings_filename\n try:\n workbook = xlrd.open_workbook(filename=rec_time_filename,\n formatting_info=True)\n except:\n return\n import numpy\n # Only include the mean in the regression values if there are at least 10 URL timings\n summary = self.read_timings_sheet(workbook)\n (date_summary, gv_mean, gv_std, m, b) = self.report_timings_summary(summary, mean_threshold=10)\n if len(gv_mean) <= 2:\n return\n fig = Figure(figsize=(5, 2.5))\n canvas = self.FigureCanvas(fig)\n ax = fig.add_subplot(111)\n linear = numpy.poly1d([m,b])\n denom = numpy.max(gv_std)/50\n size = gv_std/denom\n ax.scatter(date_summary, gv_mean, marker=\"d\", s=size)\n ax.plot(date_summary, linear(date_summary), '--r')\n\n chart = StringIO()\n canvas.print_figure(chart)\n image = chart.getvalue()\n import base64\n base64Img = base64.b64encode(image)\n image = \"<img src=\\\"data:image/png;base64,%s\\\">\" % base64Img\n self.reporter(\"Scatterplot of average link times per successful run\")\n self.reporter(image)\n self.reporter(\"The trend line has a current slope of %s\" % m)\n self.reporter(\"The y-intercept is %s seconds\" % b)", "metadata": "root.BrokenLinkTest.scatterplot", "header": "['class', 'BrokenLinkTest', '(', 'Web2UnitTest', ')', ':', '___EOS___']", "index": 541 }, { "content": " def depthReport(self):\n \"\"\"\n Method to draw a histogram of the number of new links\n discovered at each depth.\n (i.e. show how many links are required to reach a link)\n \"\"\"\n try:\n from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas\n self.FigureCanvas = FigureCanvas\n from matplotlib.figure import Figure\n self.Figure = Figure\n from numpy import arange\n except ImportError:\n return\n self.reporter(\"Analysis of link depth\")\n fig = Figure(figsize=(4, 2.5))\n # Draw a histogram\n width = 0.9\n rect = [0.12, 0.08, 0.9, 0.85]\n ax = fig.add_axes(rect)\n left = arange(len(self.linkDepth))\n plot = ax.bar(left, self.linkDepth, width=width)\n # Add the x axis labels\n ax.set_xticks(left+(width*0.5))\n ax.set_xticklabels(left)\n\n chart = StringIO()\n canvas = self.FigureCanvas(fig)\n canvas.print_figure(chart)\n image = chart.getvalue()\n import base64\n base64Img = base64.b64encode(image)\n image = \"<img src=\\\"data:image/png;base64,%s\\\">\" % base64Img\n self.reporter(image)", "metadata": "root.BrokenLinkTest.depthReport", "header": "['class', 'BrokenLinkTest', '(', 'Web2UnitTest', ')', ':', '___EOS___']", "index": 590 }, { "content": "class ReportData():\n \"\"\"\n Class to hold the data collected from the smoke test ready for reporting\n Instances of this class will be held in the dictionary results which will\n be keyed on the url. This way, in an attempt to minimise the memory used,\n the url doesn't need to be stored in this class.\n\n The class will have the following properties\n broken: boolean\n exception: boolean\n http_code: integer\n ticket: URL of any ticket linked with this url\n parent: the parent URL of this url\n depth: how deep is this url\n duration: how long did it take to get the url\n \"\"\"\n\n\n\n\n\n", "metadata": "root.ReportData", "header": "['module', '___EOS___']", "index": 625 }, { "content": " def is_broken(self):\n if hasattr(self, \"broken\"):\n return self.broken\n return False", "metadata": "root.ReportData.is_broken", "header": "['class', 'ReportData', '(', ')', ':', '___EOS___']", "index": 641 }, { "content": " def threw_exception(self):\n if hasattr(self, \"exception\"):\n return self.exception\n return False", "metadata": "root.ReportData.threw_exception", "header": "['class', 'ReportData', '(', ')', ':', '___EOS___']", "index": 646 }, { "content": " def return_http_code(self):\n if hasattr(self, \"http_code\"):\n return self.http_code\n return \"-\"", "metadata": "root.ReportData.return_http_code", "header": "['class', 'ReportData', '(', ')', ':', '___EOS___']", "index": 651 }, { "content": " def the_ticket(self, html):\n \"\"\"\n Should only have a ticket if it is broken,\n but won't always have a ticket to display.\n \"\"\"\n if hasattr(self, \"ticket\"):\n if html:\n return \"<a href=%s target=\\\"_blank\\\">Ticket</a>\" % (self.ticket)\n else:\n return \"Ticket: %s\" % (self.ticket)\n return \"no ticket\"", "metadata": "root.ReportData.the_ticket", "header": "['class', 'ReportData', '(', ')', ':', '___EOS___']", "index": 656 }, { "content": " def get_parent(self):\n if hasattr(self, \"parent\"):\n return self.parent\n return \"\"", "metadata": "root.ReportData.get_parent", "header": "['class', 'ReportData', '(', ')', ':', '___EOS___']", "index": 668 }, { "content": " def get_depth(self):\n if hasattr(self, \"depth\"):\n return self.depth\n return 0", "metadata": "root.ReportData.get_depth", "header": "['class', 'ReportData', '(', ')', ':', '___EOS___']", "index": 673 }, { "content": " def get_duration(self):\n if hasattr(self, \"duration\"):\n return self.duration\n return 0", "metadata": "root.ReportData.get_duration", "header": "['class', 'ReportData', '(', ')', ':', '___EOS___']", "index": 678 } ]

[ { "span": "import sys", "start_line": 32, "start_column": 0, "end_line": 32, "end_column": 10 }, { "span": "import socket", "start_line": 33, "start_column": 0, "end_line": 33, "end_column": 13 }, { "span": "import mechanize", "start_line": 44, "start_column": 4, "end_line": 44, "end_column": 20 } ]

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[ { "content": "\"\"\"\nCopyright (c) 2013,\nFabian Gieseke, Justin P. Heinermann, Oliver Kramer, Jendrik Poloczek,\nNils A. Treiber\nAll rights reserved.\n\nRedistribution and use in source and binary forms, with or without\nmodification, are permitted provided that the following conditions are met:\n\n Redistributions of source code must retain the above copyright notice, this\n list of conditions and the following disclaimer.\n\n Redistributions in binary form must reproduce the above copyright notice,\n this list of conditions and the following disclaimer in the documentation\n and/or other materials provided with the distribution.\n\n Neither the name of the Computational Intelligence Group of the University\n of Oldenburg nor the names of its contributors may be used to endorse or\n promote products derived from this software without specific prior written\n permission.\n\nTHIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\" AND\nANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED\nWARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE\nDISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE\nFOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL\nDAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR\nSERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER\nCAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,\nOR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE\nOF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.\n\"\"\"\n\nfrom random import randint\nfrom math import floor\nfrom numpy import zeros, float32, int32, nan\n\n", "metadata": "root", "header": "['module', '___EOS___']", "index": 0 }, { "content": "class NMARDestroyer(object):", "metadata": "root.NMARDestroyer", "header": "['module', '___EOS___']", "index": 37 }, { "content": " def destroy(self, timeseries, **args):\n percentage = args['percentage']\n min_length = args['min_length']\n max_length = args['max_length']\n\n lseries = timeseries.shape[0]\n marked = 0\n marked_intervals = []\n while(marked < int(floor((lseries * percentage)))):\n start = randint(0, lseries - 1)\n end = randint(start + min_length, start + max_length)\n while(end > lseries - 1):\n start = randint(0, lseries - 1)\n end = randint(start + min_length, start + max_length)\n marked += (end - start)\n marked_intervals.append((start, end))\n\n exceptions = [0, lseries - 1]\n\n # exclude indices\n if('exclude' in args.keys()):\n exceptions = exceptions + args['exclude']\n\n removed_indices = []\n index_old = 0\n while index_old < lseries:\n for interval in marked_intervals:\n (start, end) = interval\n if((start <= index_old <= end) and index_old not in exceptions):\n removed_indices.append(index_old)\n break\n index_old += 1\n\n new_amount = lseries - len(removed_indices)\n # allocate new numpy array\n new_mat = zeros((new_amount,), dtype=[('date', int32),\\\n ('corrected_score', float32),\\\n ('speed', float32)])\n\n index_old = 0\n index_new = 0\n while index_old < lseries:\n if(index_old in removed_indices):\n index_old += 1\n else:\n new_mat[index_new] = timeseries[index_old]\n index_old += 1\n index_new += 1\n\n return new_mat, removed_indices", "metadata": "root.NMARDestroyer.destroy", "header": "['class', 'NMARDestroyer', '(', 'object', ')', ':', '___EOS___']", "index": 38 } ]

[ { "span": "from numpy import zeros, float32, int32, nan", "start_line": 35, "start_column": 0, "end_line": 35, "end_column": 44 } ]

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